iVOD / 16859

Field Value
IVOD_ID 16859
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16859
日期 2025-08-12
會議資料.會議代碼 院會-11-3-24
會議資料.會議代碼:str 第11屆第3會期第24次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 24
會議資料.種類 院會
會議資料.標題 第11屆第3會期第24次會議
影片種類 Full
開始時間 2025-08-12T08:30:16+08:00
結束時間 2025-08-12T17:50:00+08:00
影片長度 09:19:44
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a60927ca64d14b3cf3e4445fc32f41448fc0a4a8e3640dc7cc20b75c598f27662b285ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-08-12T09:00:00+08:00
會議名稱 第11屆第3會期第24次會議(事由:一、討論事項:本院台灣民眾黨黨團,建請院會作成決議:「邀請行政院院長率同相關部會首長就『新世代打擊詐欺策略行動綱領2.0執行成效』進行專案報告並備質詢。」是否有當?請公決案等13案。(8月8日)二、邀請行政院院長率同相關部會首長列席,提出「丹娜絲颱風及七二八豪雨災後復原重建」專案報告並備質詢。(8月12日)三、8月8日上午9時至10時為國是論壇時間。)
委員名稱 完整會議
委員發言時間 08:30:16 - 17:50:00
transcript.pyannote[0].speaker SPEAKER_37
transcript.pyannote[0].start 1836.45284375
transcript.pyannote[0].end 1840.04721875
transcript.pyannote[1].speaker SPEAKER_37
transcript.pyannote[1].start 1840.30034375
transcript.pyannote[1].end 1844.28284375
transcript.pyannote[2].speaker SPEAKER_37
transcript.pyannote[2].start 1844.83971875
transcript.pyannote[2].end 1859.55471875
transcript.pyannote[3].speaker SPEAKER_10
transcript.pyannote[3].start 1868.85284375
transcript.pyannote[3].end 1869.51096875
transcript.pyannote[4].speaker SPEAKER_10
transcript.pyannote[4].start 1870.45596875
transcript.pyannote[4].end 1871.23221875
transcript.pyannote[5].speaker SPEAKER_10
transcript.pyannote[5].start 1872.31221875
transcript.pyannote[5].end 1873.42596875
transcript.pyannote[6].speaker SPEAKER_10
transcript.pyannote[6].start 1874.86034375
transcript.pyannote[6].end 1877.91471875
transcript.pyannote[7].speaker SPEAKER_10
transcript.pyannote[7].start 1878.64034375
transcript.pyannote[7].end 1879.61909375
transcript.pyannote[8].speaker SPEAKER_10
transcript.pyannote[8].start 1879.97346875
transcript.pyannote[8].end 1882.47096875
transcript.pyannote[9].speaker SPEAKER_10
transcript.pyannote[9].start 1883.28096875
transcript.pyannote[9].end 1885.35659375
transcript.pyannote[10].speaker SPEAKER_10
transcript.pyannote[10].start 1885.84596875
transcript.pyannote[10].end 1887.71909375
transcript.pyannote[11].speaker SPEAKER_10
transcript.pyannote[11].start 1888.15784375
transcript.pyannote[11].end 1891.07721875
transcript.pyannote[12].speaker SPEAKER_10
transcript.pyannote[12].start 1892.24159375
transcript.pyannote[12].end 1893.38909375
transcript.pyannote[13].speaker SPEAKER_10
transcript.pyannote[13].start 1893.76034375
transcript.pyannote[13].end 1894.82346875
transcript.pyannote[14].speaker SPEAKER_10
transcript.pyannote[14].start 1895.32971875
transcript.pyannote[14].end 1895.92034375
transcript.pyannote[15].speaker SPEAKER_10
transcript.pyannote[15].start 1896.71346875
transcript.pyannote[15].end 1897.52346875
transcript.pyannote[16].speaker SPEAKER_10
transcript.pyannote[16].start 1897.64159375
transcript.pyannote[16].end 1898.28284375
transcript.pyannote[17].speaker SPEAKER_10
transcript.pyannote[17].start 1898.60346875
transcript.pyannote[17].end 1899.36284375
transcript.pyannote[18].speaker SPEAKER_10
transcript.pyannote[18].start 1900.08846875
transcript.pyannote[18].end 1900.79721875
transcript.pyannote[19].speaker SPEAKER_10
transcript.pyannote[19].start 1901.40471875
transcript.pyannote[19].end 1903.37909375
transcript.pyannote[20].speaker SPEAKER_10
transcript.pyannote[20].start 1904.07096875
transcript.pyannote[20].end 1904.77971875
transcript.pyannote[21].speaker SPEAKER_10
transcript.pyannote[21].start 1905.15096875
transcript.pyannote[21].end 1908.93096875
transcript.pyannote[22].speaker SPEAKER_10
transcript.pyannote[22].start 1909.40346875
transcript.pyannote[22].end 1910.19659375
transcript.pyannote[23].speaker SPEAKER_10
transcript.pyannote[23].start 1911.31034375
transcript.pyannote[23].end 1913.40284375
transcript.pyannote[24].speaker SPEAKER_10
transcript.pyannote[24].start 1914.21284375
transcript.pyannote[24].end 1916.22096875
transcript.pyannote[25].speaker SPEAKER_10
transcript.pyannote[25].start 1916.72721875
transcript.pyannote[25].end 1917.65534375
transcript.pyannote[26].speaker SPEAKER_10
transcript.pyannote[26].start 1917.92534375
transcript.pyannote[26].end 1919.22471875
transcript.pyannote[27].speaker SPEAKER_10
transcript.pyannote[27].start 1919.52846875
transcript.pyannote[27].end 1922.44784375
transcript.pyannote[28].speaker SPEAKER_10
transcript.pyannote[28].start 1924.33784375
transcript.pyannote[28].end 1927.59471875
transcript.pyannote[29].speaker SPEAKER_10
transcript.pyannote[29].start 1928.15159375
transcript.pyannote[29].end 1930.63221875
transcript.pyannote[30].speaker SPEAKER_10
transcript.pyannote[30].start 1931.72909375
transcript.pyannote[30].end 1932.70784375
transcript.pyannote[31].speaker SPEAKER_10
transcript.pyannote[31].start 1933.33221875
transcript.pyannote[31].end 1936.03221875
transcript.pyannote[32].speaker SPEAKER_10
transcript.pyannote[32].start 1936.75784375
transcript.pyannote[32].end 1937.19659375
transcript.pyannote[33].speaker SPEAKER_10
transcript.pyannote[33].start 1937.80409375
transcript.pyannote[33].end 1938.29346875
transcript.pyannote[34].speaker SPEAKER_10
transcript.pyannote[34].start 1938.79971875
transcript.pyannote[34].end 1939.28909375
transcript.pyannote[35].speaker SPEAKER_10
transcript.pyannote[35].start 1939.55909375
transcript.pyannote[35].end 1940.45346875
transcript.pyannote[36].speaker SPEAKER_10
transcript.pyannote[36].start 1940.80784375
transcript.pyannote[36].end 1941.97221875
transcript.pyannote[37].speaker SPEAKER_10
transcript.pyannote[37].start 1942.47846875
transcript.pyannote[37].end 1944.63846875
transcript.pyannote[38].speaker SPEAKER_10
transcript.pyannote[38].start 1945.00971875
transcript.pyannote[38].end 1945.83659375
transcript.pyannote[39].speaker SPEAKER_10
transcript.pyannote[39].start 1946.22471875
transcript.pyannote[39].end 1946.98409375
transcript.pyannote[40].speaker SPEAKER_10
transcript.pyannote[40].start 1947.32159375
transcript.pyannote[40].end 1949.81909375
transcript.pyannote[41].speaker SPEAKER_10
transcript.pyannote[41].start 1950.83159375
transcript.pyannote[41].end 1951.59096875
transcript.pyannote[42].speaker SPEAKER_10
transcript.pyannote[42].start 1952.13096875
transcript.pyannote[42].end 1952.63721875
transcript.pyannote[43].speaker SPEAKER_10
transcript.pyannote[43].start 1953.14346875
transcript.pyannote[43].end 1954.00409375
transcript.pyannote[44].speaker SPEAKER_10
transcript.pyannote[44].start 1955.64096875
transcript.pyannote[44].end 1957.15971875
transcript.pyannote[45].speaker SPEAKER_10
transcript.pyannote[45].start 1957.86846875
transcript.pyannote[45].end 1958.37471875
transcript.pyannote[46].speaker SPEAKER_10
transcript.pyannote[46].start 1958.62784375
transcript.pyannote[46].end 1960.19721875
transcript.pyannote[47].speaker SPEAKER_10
transcript.pyannote[47].start 1960.50096875
transcript.pyannote[47].end 1961.85096875
transcript.pyannote[48].speaker SPEAKER_10
transcript.pyannote[48].start 1962.52596875
transcript.pyannote[48].end 1965.25971875
transcript.pyannote[49].speaker SPEAKER_10
transcript.pyannote[49].start 1965.42846875
transcript.pyannote[49].end 1967.16659375
transcript.pyannote[50].speaker SPEAKER_10
transcript.pyannote[50].start 1967.90909375
transcript.pyannote[50].end 1969.29284375
transcript.pyannote[51].speaker SPEAKER_10
transcript.pyannote[51].start 1970.08596875
transcript.pyannote[51].end 1973.41034375
transcript.pyannote[52].speaker SPEAKER_10
transcript.pyannote[52].start 1974.35534375
transcript.pyannote[52].end 1976.07659375
transcript.pyannote[53].speaker SPEAKER_10
transcript.pyannote[53].start 1976.56596875
transcript.pyannote[53].end 1977.57846875
transcript.pyannote[54].speaker SPEAKER_10
transcript.pyannote[54].start 1977.83159375
transcript.pyannote[54].end 1979.04659375
transcript.pyannote[55].speaker SPEAKER_10
transcript.pyannote[55].start 1979.31659375
transcript.pyannote[55].end 1981.34159375
transcript.pyannote[56].speaker SPEAKER_10
transcript.pyannote[56].start 1983.14721875
transcript.pyannote[56].end 1984.68284375
transcript.pyannote[57].speaker SPEAKER_10
transcript.pyannote[57].start 1985.35784375
transcript.pyannote[57].end 1988.85096875
transcript.pyannote[58].speaker SPEAKER_10
transcript.pyannote[58].start 1988.96909375
transcript.pyannote[58].end 1990.23471875
transcript.pyannote[59].speaker SPEAKER_10
transcript.pyannote[59].start 1990.62284375
transcript.pyannote[59].end 1992.29346875
transcript.pyannote[60].speaker SPEAKER_10
transcript.pyannote[60].start 1993.60971875
transcript.pyannote[60].end 1994.82471875
transcript.pyannote[61].speaker SPEAKER_10
transcript.pyannote[61].start 1994.92596875
transcript.pyannote[61].end 1995.51659375
transcript.pyannote[62].speaker SPEAKER_10
transcript.pyannote[62].start 1995.87096875
transcript.pyannote[62].end 1996.44471875
transcript.pyannote[63].speaker SPEAKER_10
transcript.pyannote[63].start 1997.08596875
transcript.pyannote[63].end 1998.09846875
transcript.pyannote[64].speaker SPEAKER_10
transcript.pyannote[64].start 1998.92534375
transcript.pyannote[64].end 2001.69284375
transcript.pyannote[65].speaker SPEAKER_10
transcript.pyannote[65].start 2002.33409375
transcript.pyannote[65].end 2004.05534375
transcript.pyannote[66].speaker SPEAKER_10
transcript.pyannote[66].start 2004.44346875
transcript.pyannote[66].end 2004.91596875
transcript.pyannote[67].speaker SPEAKER_10
transcript.pyannote[67].start 2005.60784375
transcript.pyannote[67].end 2009.03346875
transcript.pyannote[68].speaker SPEAKER_10
transcript.pyannote[68].start 2009.35409375
transcript.pyannote[68].end 2013.11721875
transcript.pyannote[69].speaker SPEAKER_10
transcript.pyannote[69].start 2013.77534375
transcript.pyannote[69].end 2014.82159375
transcript.pyannote[70].speaker SPEAKER_10
transcript.pyannote[70].start 2015.58096875
transcript.pyannote[70].end 2015.95221875
transcript.pyannote[71].speaker SPEAKER_10
transcript.pyannote[71].start 2016.82971875
transcript.pyannote[71].end 2020.45784375
transcript.pyannote[72].speaker SPEAKER_10
transcript.pyannote[72].start 2021.38596875
transcript.pyannote[72].end 2022.17909375
transcript.pyannote[73].speaker SPEAKER_10
transcript.pyannote[73].start 2022.58409375
transcript.pyannote[73].end 2024.62596875
transcript.pyannote[74].speaker SPEAKER_10
transcript.pyannote[74].start 2025.30096875
transcript.pyannote[74].end 2026.87034375
transcript.pyannote[75].speaker SPEAKER_10
transcript.pyannote[75].start 2027.62971875
transcript.pyannote[75].end 2028.60846875
transcript.pyannote[76].speaker SPEAKER_10
transcript.pyannote[76].start 2029.58721875
transcript.pyannote[76].end 2030.43096875
transcript.pyannote[77].speaker SPEAKER_10
transcript.pyannote[77].start 2030.66721875
transcript.pyannote[77].end 2030.98784375
transcript.pyannote[78].speaker SPEAKER_10
transcript.pyannote[78].start 2031.39284375
transcript.pyannote[78].end 2033.67096875
transcript.pyannote[79].speaker SPEAKER_10
transcript.pyannote[79].start 2034.27846875
transcript.pyannote[79].end 2034.68346875
transcript.pyannote[80].speaker SPEAKER_10
transcript.pyannote[80].start 2035.67909375
transcript.pyannote[80].end 2036.32034375
transcript.pyannote[81].speaker SPEAKER_10
transcript.pyannote[81].start 2036.62409375
transcript.pyannote[81].end 2037.75471875
transcript.pyannote[82].speaker SPEAKER_10
transcript.pyannote[82].start 2038.26096875
transcript.pyannote[82].end 2044.09971875
transcript.pyannote[83].speaker SPEAKER_10
transcript.pyannote[83].start 2044.62284375
transcript.pyannote[83].end 2047.17096875
transcript.pyannote[84].speaker SPEAKER_10
transcript.pyannote[84].start 2047.71096875
transcript.pyannote[84].end 2049.56721875
transcript.pyannote[85].speaker SPEAKER_10
transcript.pyannote[85].start 2049.76971875
transcript.pyannote[85].end 2054.05596875
transcript.pyannote[86].speaker SPEAKER_10
transcript.pyannote[86].start 2054.44409375
transcript.pyannote[86].end 2056.77284375
transcript.pyannote[87].speaker SPEAKER_10
transcript.pyannote[87].start 2057.85284375
transcript.pyannote[87].end 2061.78471875
transcript.pyannote[88].speaker SPEAKER_10
transcript.pyannote[88].start 2063.20221875
transcript.pyannote[88].end 2066.12159375
transcript.pyannote[89].speaker SPEAKER_10
transcript.pyannote[89].start 2066.59409375
transcript.pyannote[89].end 2067.67409375
transcript.pyannote[90].speaker SPEAKER_10
transcript.pyannote[90].start 2068.24784375
transcript.pyannote[90].end 2069.42909375
transcript.pyannote[91].speaker SPEAKER_10
transcript.pyannote[91].start 2069.56409375
transcript.pyannote[91].end 2071.82534375
transcript.pyannote[92].speaker SPEAKER_10
transcript.pyannote[92].start 2071.87596875
transcript.pyannote[92].end 2072.85471875
transcript.pyannote[93].speaker SPEAKER_10
transcript.pyannote[93].start 2073.17534375
transcript.pyannote[93].end 2075.55471875
transcript.pyannote[94].speaker SPEAKER_10
transcript.pyannote[94].start 2075.77409375
transcript.pyannote[94].end 2078.23784375
transcript.pyannote[95].speaker SPEAKER_10
transcript.pyannote[95].start 2078.57534375
transcript.pyannote[95].end 2081.59596875
transcript.pyannote[96].speaker SPEAKER_10
transcript.pyannote[96].start 2082.06846875
transcript.pyannote[96].end 2083.92471875
transcript.pyannote[97].speaker SPEAKER_10
transcript.pyannote[97].start 2084.21159375
transcript.pyannote[97].end 2084.97096875
transcript.pyannote[98].speaker SPEAKER_10
transcript.pyannote[98].start 2085.40971875
transcript.pyannote[98].end 2089.98284375
transcript.pyannote[99].speaker SPEAKER_10
transcript.pyannote[99].start 2090.21909375
transcript.pyannote[99].end 2090.84346875
transcript.pyannote[100].speaker SPEAKER_10
transcript.pyannote[100].start 2090.96159375
transcript.pyannote[100].end 2093.30721875
transcript.pyannote[101].speaker SPEAKER_10
transcript.pyannote[101].start 2094.11721875
transcript.pyannote[101].end 2095.70346875
transcript.pyannote[102].speaker SPEAKER_10
transcript.pyannote[102].start 2096.19284375
transcript.pyannote[102].end 2101.86284375
transcript.pyannote[103].speaker SPEAKER_10
transcript.pyannote[103].start 2102.40284375
transcript.pyannote[103].end 2103.70221875
transcript.pyannote[104].speaker SPEAKER_10
transcript.pyannote[104].start 2104.07346875
transcript.pyannote[104].end 2104.49534375
transcript.pyannote[105].speaker SPEAKER_10
transcript.pyannote[105].start 2104.81596875
transcript.pyannote[105].end 2110.33409375
transcript.pyannote[106].speaker SPEAKER_10
transcript.pyannote[106].start 2111.16096875
transcript.pyannote[106].end 2112.02159375
transcript.pyannote[107].speaker SPEAKER_10
transcript.pyannote[107].start 2112.15659375
transcript.pyannote[107].end 2117.86034375
transcript.pyannote[108].speaker SPEAKER_10
transcript.pyannote[108].start 2118.53534375
transcript.pyannote[108].end 2121.38721875
transcript.pyannote[109].speaker SPEAKER_10
transcript.pyannote[109].start 2121.70784375
transcript.pyannote[109].end 2125.01534375
transcript.pyannote[110].speaker SPEAKER_10
transcript.pyannote[110].start 2125.38659375
transcript.pyannote[110].end 2135.71409375
transcript.pyannote[111].speaker SPEAKER_10
transcript.pyannote[111].start 2136.57471875
transcript.pyannote[111].end 2139.49409375
transcript.pyannote[112].speaker SPEAKER_10
transcript.pyannote[112].start 2139.66284375
transcript.pyannote[112].end 2142.43034375
transcript.pyannote[113].speaker SPEAKER_10
transcript.pyannote[113].start 2142.64971875
transcript.pyannote[113].end 2148.52221875
transcript.pyannote[114].speaker SPEAKER_10
transcript.pyannote[114].start 2149.43346875
transcript.pyannote[114].end 2151.15471875
transcript.pyannote[115].speaker SPEAKER_10
transcript.pyannote[115].start 2151.66096875
transcript.pyannote[115].end 2152.21784375
transcript.pyannote[116].speaker SPEAKER_10
transcript.pyannote[116].start 2152.70721875
transcript.pyannote[116].end 2153.21346875
transcript.pyannote[117].speaker SPEAKER_10
transcript.pyannote[117].start 2153.58471875
transcript.pyannote[117].end 2155.67721875
transcript.pyannote[118].speaker SPEAKER_10
transcript.pyannote[118].start 2155.98096875
transcript.pyannote[118].end 2157.78659375
transcript.pyannote[119].speaker SPEAKER_10
transcript.pyannote[119].start 2157.92159375
transcript.pyannote[119].end 2158.93409375
transcript.pyannote[120].speaker SPEAKER_10
transcript.pyannote[120].start 2159.17034375
transcript.pyannote[120].end 2159.76096875
transcript.pyannote[121].speaker SPEAKER_10
transcript.pyannote[121].start 2160.38534375
transcript.pyannote[121].end 2161.92096875
transcript.pyannote[122].speaker SPEAKER_10
transcript.pyannote[122].start 2162.46096875
transcript.pyannote[122].end 2165.59971875
transcript.pyannote[123].speaker SPEAKER_10
transcript.pyannote[123].start 2165.83596875
transcript.pyannote[123].end 2169.41346875
transcript.pyannote[124].speaker SPEAKER_10
transcript.pyannote[124].start 2170.12221875
transcript.pyannote[124].end 2174.29034375
transcript.pyannote[125].speaker SPEAKER_10
transcript.pyannote[125].start 2175.03284375
transcript.pyannote[125].end 2178.79596875
transcript.pyannote[126].speaker SPEAKER_10
transcript.pyannote[126].start 2179.30221875
transcript.pyannote[126].end 2189.79846875
transcript.pyannote[127].speaker SPEAKER_10
transcript.pyannote[127].start 2190.06846875
transcript.pyannote[127].end 2197.10534375
transcript.pyannote[128].speaker SPEAKER_10
transcript.pyannote[128].start 2197.86471875
transcript.pyannote[128].end 2198.75909375
transcript.pyannote[129].speaker SPEAKER_10
transcript.pyannote[129].start 2199.07971875
transcript.pyannote[129].end 2201.81346875
transcript.pyannote[130].speaker SPEAKER_10
transcript.pyannote[130].start 2202.47159375
transcript.pyannote[130].end 2206.15034375
transcript.pyannote[131].speaker SPEAKER_10
transcript.pyannote[131].start 2206.74096875
transcript.pyannote[131].end 2211.98909375
transcript.pyannote[132].speaker SPEAKER_10
transcript.pyannote[132].start 2212.95096875
transcript.pyannote[132].end 2216.08971875
transcript.pyannote[133].speaker SPEAKER_10
transcript.pyannote[133].start 2217.01784375
transcript.pyannote[133].end 2219.04284375
transcript.pyannote[134].speaker SPEAKER_10
transcript.pyannote[134].start 2219.24534375
transcript.pyannote[134].end 2220.89909375
transcript.pyannote[135].speaker SPEAKER_10
transcript.pyannote[135].start 2221.23659375
transcript.pyannote[135].end 2222.01284375
transcript.pyannote[136].speaker SPEAKER_10
transcript.pyannote[136].start 2222.38409375
transcript.pyannote[136].end 2223.14346875
transcript.pyannote[137].speaker SPEAKER_10
transcript.pyannote[137].start 2223.48096875
transcript.pyannote[137].end 2225.72534375
transcript.pyannote[138].speaker SPEAKER_10
transcript.pyannote[138].start 2225.99534375
transcript.pyannote[138].end 2227.44659375
transcript.pyannote[139].speaker SPEAKER_10
transcript.pyannote[139].start 2227.78409375
transcript.pyannote[139].end 2229.50534375
transcript.pyannote[140].speaker SPEAKER_10
transcript.pyannote[140].start 2230.99034375
transcript.pyannote[140].end 2232.61034375
transcript.pyannote[141].speaker SPEAKER_10
transcript.pyannote[141].start 2232.98159375
transcript.pyannote[141].end 2233.47096875
transcript.pyannote[142].speaker SPEAKER_10
transcript.pyannote[142].start 2234.06159375
transcript.pyannote[142].end 2235.25971875
transcript.pyannote[143].speaker SPEAKER_10
transcript.pyannote[143].start 2235.41159375
transcript.pyannote[143].end 2237.45346875
transcript.pyannote[144].speaker SPEAKER_10
transcript.pyannote[144].start 2237.62221875
transcript.pyannote[144].end 2238.39846875
transcript.pyannote[145].speaker SPEAKER_10
transcript.pyannote[145].start 2238.70221875
transcript.pyannote[145].end 2240.92971875
transcript.pyannote[146].speaker SPEAKER_10
transcript.pyannote[146].start 2241.52034375
transcript.pyannote[146].end 2245.77284375
transcript.pyannote[147].speaker SPEAKER_10
transcript.pyannote[147].start 2246.19471875
transcript.pyannote[147].end 2249.80596875
transcript.pyannote[148].speaker SPEAKER_10
transcript.pyannote[148].start 2250.07596875
transcript.pyannote[148].end 2251.67909375
transcript.pyannote[149].speaker SPEAKER_10
transcript.pyannote[149].start 2251.86471875
transcript.pyannote[149].end 2252.57346875
transcript.pyannote[150].speaker SPEAKER_10
transcript.pyannote[150].start 2252.74221875
transcript.pyannote[150].end 2255.59409375
transcript.pyannote[151].speaker SPEAKER_10
transcript.pyannote[151].start 2256.92721875
transcript.pyannote[151].end 2258.14221875
transcript.pyannote[152].speaker SPEAKER_10
transcript.pyannote[152].start 2258.37846875
transcript.pyannote[152].end 2261.51721875
transcript.pyannote[153].speaker SPEAKER_10
transcript.pyannote[153].start 2261.82096875
transcript.pyannote[153].end 2262.54659375
transcript.pyannote[154].speaker SPEAKER_10
transcript.pyannote[154].start 2263.17096875
transcript.pyannote[154].end 2264.28471875
transcript.pyannote[155].speaker SPEAKER_10
transcript.pyannote[155].start 2264.72346875
transcript.pyannote[155].end 2265.16221875
transcript.pyannote[156].speaker SPEAKER_10
transcript.pyannote[156].start 2265.63471875
transcript.pyannote[156].end 2266.15784375
transcript.pyannote[157].speaker SPEAKER_10
transcript.pyannote[157].start 2266.51221875
transcript.pyannote[157].end 2267.54159375
transcript.pyannote[158].speaker SPEAKER_10
transcript.pyannote[158].start 2268.30096875
transcript.pyannote[158].end 2269.16159375
transcript.pyannote[159].speaker SPEAKER_10
transcript.pyannote[159].start 2269.33034375
transcript.pyannote[159].end 2270.57909375
transcript.pyannote[160].speaker SPEAKER_10
transcript.pyannote[160].start 2271.18659375
transcript.pyannote[160].end 2275.86096875
transcript.pyannote[161].speaker SPEAKER_10
transcript.pyannote[161].start 2275.99596875
transcript.pyannote[161].end 2278.42596875
transcript.pyannote[162].speaker SPEAKER_10
transcript.pyannote[162].start 2278.96596875
transcript.pyannote[162].end 2281.66596875
transcript.pyannote[163].speaker SPEAKER_10
transcript.pyannote[163].start 2281.96971875
transcript.pyannote[163].end 2282.71221875
transcript.pyannote[164].speaker SPEAKER_10
transcript.pyannote[164].start 2282.99909375
transcript.pyannote[164].end 2287.77471875
transcript.pyannote[165].speaker SPEAKER_10
transcript.pyannote[165].start 2288.21346875
transcript.pyannote[165].end 2296.51596875
transcript.pyannote[166].speaker SPEAKER_10
transcript.pyannote[166].start 2296.97159375
transcript.pyannote[166].end 2297.88284375
transcript.pyannote[167].speaker SPEAKER_10
transcript.pyannote[167].start 2298.13596875
transcript.pyannote[167].end 2298.77721875
transcript.pyannote[168].speaker SPEAKER_10
transcript.pyannote[168].start 2299.21596875
transcript.pyannote[168].end 2302.42221875
transcript.pyannote[169].speaker SPEAKER_10
transcript.pyannote[169].start 2303.01284375
transcript.pyannote[169].end 2304.32909375
transcript.pyannote[170].speaker SPEAKER_10
transcript.pyannote[170].start 2304.63284375
transcript.pyannote[170].end 2305.72971875
transcript.pyannote[171].speaker SPEAKER_10
transcript.pyannote[171].start 2306.18534375
transcript.pyannote[171].end 2311.28159375
transcript.pyannote[172].speaker SPEAKER_10
transcript.pyannote[172].start 2311.63596875
transcript.pyannote[172].end 2318.33534375
transcript.pyannote[173].speaker SPEAKER_10
transcript.pyannote[173].start 2318.82471875
transcript.pyannote[173].end 2321.40659375
transcript.pyannote[174].speaker SPEAKER_10
transcript.pyannote[174].start 2321.64284375
transcript.pyannote[174].end 2325.01784375
transcript.pyannote[175].speaker SPEAKER_10
transcript.pyannote[175].start 2325.82784375
transcript.pyannote[175].end 2328.35909375
transcript.pyannote[176].speaker SPEAKER_10
transcript.pyannote[176].start 2328.81471875
transcript.pyannote[176].end 2330.55284375
transcript.pyannote[177].speaker SPEAKER_10
transcript.pyannote[177].start 2330.83971875
transcript.pyannote[177].end 2335.12596875
transcript.pyannote[178].speaker SPEAKER_10
transcript.pyannote[178].start 2335.41284375
transcript.pyannote[178].end 2337.38721875
transcript.pyannote[179].speaker SPEAKER_10
transcript.pyannote[179].start 2337.75846875
transcript.pyannote[179].end 2340.94784375
transcript.pyannote[180].speaker SPEAKER_10
transcript.pyannote[180].start 2341.03221875
transcript.pyannote[180].end 2342.23034375
transcript.pyannote[181].speaker SPEAKER_10
transcript.pyannote[181].start 2342.85471875
transcript.pyannote[181].end 2344.37346875
transcript.pyannote[182].speaker SPEAKER_10
transcript.pyannote[182].start 2345.11596875
transcript.pyannote[182].end 2347.73159375
transcript.pyannote[183].speaker SPEAKER_10
transcript.pyannote[183].start 2348.23784375
transcript.pyannote[183].end 2350.48221875
transcript.pyannote[184].speaker SPEAKER_10
transcript.pyannote[184].start 2350.93784375
transcript.pyannote[184].end 2353.18221875
transcript.pyannote[185].speaker SPEAKER_10
transcript.pyannote[185].start 2353.51971875
transcript.pyannote[185].end 2353.87409375
transcript.pyannote[186].speaker SPEAKER_10
transcript.pyannote[186].start 2354.98784375
transcript.pyannote[186].end 2364.30284375
transcript.pyannote[187].speaker SPEAKER_10
transcript.pyannote[187].start 2364.67409375
transcript.pyannote[187].end 2366.81721875
transcript.pyannote[188].speaker SPEAKER_10
transcript.pyannote[188].start 2367.47534375
transcript.pyannote[188].end 2369.16284375
transcript.pyannote[189].speaker SPEAKER_10
transcript.pyannote[189].start 2369.90534375
transcript.pyannote[189].end 2370.46221875
transcript.pyannote[190].speaker SPEAKER_10
transcript.pyannote[190].start 2370.86721875
transcript.pyannote[190].end 2372.38596875
transcript.pyannote[191].speaker SPEAKER_10
transcript.pyannote[191].start 2372.77409375
transcript.pyannote[191].end 2373.73596875
transcript.pyannote[192].speaker SPEAKER_10
transcript.pyannote[192].start 2374.00596875
transcript.pyannote[192].end 2374.76534375
transcript.pyannote[193].speaker SPEAKER_10
transcript.pyannote[193].start 2374.93409375
transcript.pyannote[193].end 2376.26721875
transcript.pyannote[194].speaker SPEAKER_10
transcript.pyannote[194].start 2376.46971875
transcript.pyannote[194].end 2377.87034375
transcript.pyannote[195].speaker SPEAKER_10
transcript.pyannote[195].start 2378.42721875
transcript.pyannote[195].end 2380.68846875
transcript.pyannote[196].speaker SPEAKER_10
transcript.pyannote[196].start 2380.89096875
transcript.pyannote[196].end 2385.12659375
transcript.pyannote[197].speaker SPEAKER_10
transcript.pyannote[197].start 2385.58221875
transcript.pyannote[197].end 2387.55659375
transcript.pyannote[198].speaker SPEAKER_10
transcript.pyannote[198].start 2387.94471875
transcript.pyannote[198].end 2389.54784375
transcript.pyannote[199].speaker SPEAKER_10
transcript.pyannote[199].start 2389.83471875
transcript.pyannote[199].end 2391.50534375
transcript.pyannote[200].speaker SPEAKER_10
transcript.pyannote[200].start 2392.33221875
transcript.pyannote[200].end 2393.74971875
transcript.pyannote[201].speaker SPEAKER_10
transcript.pyannote[201].start 2394.10409375
transcript.pyannote[201].end 2398.15409375
transcript.pyannote[202].speaker SPEAKER_10
transcript.pyannote[202].start 2398.57596875
transcript.pyannote[202].end 2406.76034375
transcript.pyannote[203].speaker SPEAKER_10
transcript.pyannote[203].start 2407.04721875
transcript.pyannote[203].end 2408.73471875
transcript.pyannote[204].speaker SPEAKER_10
transcript.pyannote[204].start 2409.42659375
transcript.pyannote[204].end 2411.18159375
transcript.pyannote[205].speaker SPEAKER_10
transcript.pyannote[205].start 2411.56971875
transcript.pyannote[205].end 2412.68346875
transcript.pyannote[206].speaker SPEAKER_10
transcript.pyannote[206].start 2412.86909375
transcript.pyannote[206].end 2414.32034375
transcript.pyannote[207].speaker SPEAKER_10
transcript.pyannote[207].start 2414.89409375
transcript.pyannote[207].end 2416.34534375
transcript.pyannote[208].speaker SPEAKER_10
transcript.pyannote[208].start 2416.61534375
transcript.pyannote[208].end 2417.79659375
transcript.pyannote[209].speaker SPEAKER_10
transcript.pyannote[209].start 2419.41659375
transcript.pyannote[209].end 2421.84659375
transcript.pyannote[210].speaker SPEAKER_10
transcript.pyannote[210].start 2421.96471875
transcript.pyannote[210].end 2422.80846875
transcript.pyannote[211].speaker SPEAKER_10
transcript.pyannote[211].start 2422.84221875
transcript.pyannote[211].end 2424.00659375
transcript.pyannote[212].speaker SPEAKER_10
transcript.pyannote[212].start 2424.49596875
transcript.pyannote[212].end 2425.81221875
transcript.pyannote[213].speaker SPEAKER_10
transcript.pyannote[213].start 2425.98096875
transcript.pyannote[213].end 2426.89221875
transcript.pyannote[214].speaker SPEAKER_10
transcript.pyannote[214].start 2427.76971875
transcript.pyannote[214].end 2429.45721875
transcript.pyannote[215].speaker SPEAKER_10
transcript.pyannote[215].start 2429.98034375
transcript.pyannote[215].end 2430.36846875
transcript.pyannote[216].speaker SPEAKER_10
transcript.pyannote[216].start 2430.46971875
transcript.pyannote[216].end 2431.54971875
transcript.pyannote[217].speaker SPEAKER_10
transcript.pyannote[217].start 2431.87034375
transcript.pyannote[217].end 2432.51159375
transcript.pyannote[218].speaker SPEAKER_10
transcript.pyannote[218].start 2433.10221875
transcript.pyannote[218].end 2435.81909375
transcript.pyannote[219].speaker SPEAKER_10
transcript.pyannote[219].start 2436.47721875
transcript.pyannote[219].end 2438.80596875
transcript.pyannote[220].speaker SPEAKER_10
transcript.pyannote[220].start 2438.95784375
transcript.pyannote[220].end 2440.03784375
transcript.pyannote[221].speaker SPEAKER_10
transcript.pyannote[221].start 2440.47659375
transcript.pyannote[221].end 2441.92784375
transcript.pyannote[222].speaker SPEAKER_10
transcript.pyannote[222].start 2442.29909375
transcript.pyannote[222].end 2443.12596875
transcript.pyannote[223].speaker SPEAKER_10
transcript.pyannote[223].start 2443.24409375
transcript.pyannote[223].end 2447.54721875
transcript.pyannote[224].speaker SPEAKER_10
transcript.pyannote[224].start 2448.01971875
transcript.pyannote[224].end 2448.94784375
transcript.pyannote[225].speaker SPEAKER_10
transcript.pyannote[225].start 2449.38659375
transcript.pyannote[225].end 2450.26409375
transcript.pyannote[226].speaker SPEAKER_10
transcript.pyannote[226].start 2451.12471875
transcript.pyannote[226].end 2460.25409375
transcript.pyannote[227].speaker SPEAKER_10
transcript.pyannote[227].start 2460.54096875
transcript.pyannote[227].end 2464.28721875
transcript.pyannote[228].speaker SPEAKER_10
transcript.pyannote[228].start 2464.81034375
transcript.pyannote[228].end 2465.90721875
transcript.pyannote[229].speaker SPEAKER_10
transcript.pyannote[229].start 2466.22784375
transcript.pyannote[229].end 2472.89346875
transcript.pyannote[230].speaker SPEAKER_10
transcript.pyannote[230].start 2473.48409375
transcript.pyannote[230].end 2478.52971875
transcript.pyannote[231].speaker SPEAKER_10
transcript.pyannote[231].start 2478.83346875
transcript.pyannote[231].end 2480.84159375
transcript.pyannote[232].speaker SPEAKER_10
transcript.pyannote[232].start 2481.01034375
transcript.pyannote[232].end 2488.50284375
transcript.pyannote[233].speaker SPEAKER_10
transcript.pyannote[233].start 2489.11034375
transcript.pyannote[233].end 2508.28034375
transcript.pyannote[234].speaker SPEAKER_10
transcript.pyannote[234].start 2511.03096875
transcript.pyannote[234].end 2512.24596875
transcript.pyannote[235].speaker SPEAKER_10
transcript.pyannote[235].start 2513.10659375
transcript.pyannote[235].end 2515.13159375
transcript.pyannote[236].speaker SPEAKER_10
transcript.pyannote[236].start 2515.55346875
transcript.pyannote[236].end 2520.04221875
transcript.pyannote[237].speaker SPEAKER_10
transcript.pyannote[237].start 2520.48096875
transcript.pyannote[237].end 2523.16409375
transcript.pyannote[238].speaker SPEAKER_10
transcript.pyannote[238].start 2523.83909375
transcript.pyannote[238].end 2525.17221875
transcript.pyannote[239].speaker SPEAKER_10
transcript.pyannote[239].start 2525.57721875
transcript.pyannote[239].end 2526.89346875
transcript.pyannote[240].speaker SPEAKER_10
transcript.pyannote[240].start 2527.01159375
transcript.pyannote[240].end 2528.02409375
transcript.pyannote[241].speaker SPEAKER_10
transcript.pyannote[241].start 2528.19284375
transcript.pyannote[241].end 2530.94346875
transcript.pyannote[242].speaker SPEAKER_10
transcript.pyannote[242].start 2531.14596875
transcript.pyannote[242].end 2531.85471875
transcript.pyannote[243].speaker SPEAKER_10
transcript.pyannote[243].start 2532.42846875
transcript.pyannote[243].end 2542.46909375
transcript.pyannote[244].speaker SPEAKER_10
transcript.pyannote[244].start 2542.99221875
transcript.pyannote[244].end 2546.09721875
transcript.pyannote[245].speaker SPEAKER_10
transcript.pyannote[245].start 2546.56971875
transcript.pyannote[245].end 2548.94909375
transcript.pyannote[246].speaker SPEAKER_10
transcript.pyannote[246].start 2549.48909375
transcript.pyannote[246].end 2555.59784375
transcript.pyannote[247].speaker SPEAKER_10
transcript.pyannote[247].start 2555.98596875
transcript.pyannote[247].end 2557.94346875
transcript.pyannote[248].speaker SPEAKER_10
transcript.pyannote[248].start 2558.21346875
transcript.pyannote[248].end 2559.29346875
transcript.pyannote[249].speaker SPEAKER_10
transcript.pyannote[249].start 2559.83346875
transcript.pyannote[249].end 2564.01846875
transcript.pyannote[250].speaker SPEAKER_10
transcript.pyannote[250].start 2564.28846875
transcript.pyannote[250].end 2566.65096875
transcript.pyannote[251].speaker SPEAKER_10
transcript.pyannote[251].start 2567.07284375
transcript.pyannote[251].end 2568.97971875
transcript.pyannote[252].speaker SPEAKER_10
transcript.pyannote[252].start 2569.33409375
transcript.pyannote[252].end 2570.00909375
transcript.pyannote[253].speaker SPEAKER_10
transcript.pyannote[253].start 2570.26221875
transcript.pyannote[253].end 2571.81471875
transcript.pyannote[254].speaker SPEAKER_10
transcript.pyannote[254].start 2572.23659375
transcript.pyannote[254].end 2573.29971875
transcript.pyannote[255].speaker SPEAKER_10
transcript.pyannote[255].start 2573.40096875
transcript.pyannote[255].end 2575.20659375
transcript.pyannote[256].speaker SPEAKER_10
transcript.pyannote[256].start 2575.27409375
transcript.pyannote[256].end 2576.35409375
transcript.pyannote[257].speaker SPEAKER_10
transcript.pyannote[257].start 2576.72534375
transcript.pyannote[257].end 2578.04159375
transcript.pyannote[258].speaker SPEAKER_10
transcript.pyannote[258].start 2578.37909375
transcript.pyannote[258].end 2579.84721875
transcript.pyannote[259].speaker SPEAKER_10
transcript.pyannote[259].start 2580.08346875
transcript.pyannote[259].end 2587.13721875
transcript.pyannote[260].speaker SPEAKER_10
transcript.pyannote[260].start 2587.81221875
transcript.pyannote[260].end 2590.52909375
transcript.pyannote[261].speaker SPEAKER_10
transcript.pyannote[261].start 2590.84971875
transcript.pyannote[261].end 2592.38534375
transcript.pyannote[262].speaker SPEAKER_10
transcript.pyannote[262].start 2592.73971875
transcript.pyannote[262].end 2594.66346875
transcript.pyannote[263].speaker SPEAKER_10
transcript.pyannote[263].start 2595.10221875
transcript.pyannote[263].end 2597.63346875
transcript.pyannote[264].speaker SPEAKER_10
transcript.pyannote[264].start 2598.47721875
transcript.pyannote[264].end 2601.39659375
transcript.pyannote[265].speaker SPEAKER_10
transcript.pyannote[265].start 2601.71721875
transcript.pyannote[265].end 2603.37096875
transcript.pyannote[266].speaker SPEAKER_10
transcript.pyannote[266].start 2603.77596875
transcript.pyannote[266].end 2610.35721875
transcript.pyannote[267].speaker SPEAKER_10
transcript.pyannote[267].start 2610.69471875
transcript.pyannote[267].end 2611.94346875
transcript.pyannote[268].speaker SPEAKER_10
transcript.pyannote[268].start 2612.16284375
transcript.pyannote[268].end 2616.02721875
transcript.pyannote[269].speaker SPEAKER_10
transcript.pyannote[269].start 2616.29721875
transcript.pyannote[269].end 2622.08534375
transcript.pyannote[270].speaker SPEAKER_10
transcript.pyannote[270].start 2623.09784375
transcript.pyannote[270].end 2624.73471875
transcript.pyannote[271].speaker SPEAKER_10
transcript.pyannote[271].start 2625.13971875
transcript.pyannote[271].end 2625.76409375
transcript.pyannote[272].speaker SPEAKER_10
transcript.pyannote[272].start 2625.88221875
transcript.pyannote[272].end 2629.12221875
transcript.pyannote[273].speaker SPEAKER_10
transcript.pyannote[273].start 2629.29096875
transcript.pyannote[273].end 2631.33284375
transcript.pyannote[274].speaker SPEAKER_10
transcript.pyannote[274].start 2631.61971875
transcript.pyannote[274].end 2632.02471875
transcript.pyannote[275].speaker SPEAKER_10
transcript.pyannote[275].start 2632.46346875
transcript.pyannote[275].end 2635.75409375
transcript.pyannote[276].speaker SPEAKER_10
transcript.pyannote[276].start 2635.93971875
transcript.pyannote[276].end 2637.52596875
transcript.pyannote[277].speaker SPEAKER_10
transcript.pyannote[277].start 2637.71159375
transcript.pyannote[277].end 2639.50034375
transcript.pyannote[278].speaker SPEAKER_10
transcript.pyannote[278].start 2640.07409375
transcript.pyannote[278].end 2640.95159375
transcript.pyannote[279].speaker SPEAKER_10
transcript.pyannote[279].start 2641.72784375
transcript.pyannote[279].end 2643.07784375
transcript.pyannote[280].speaker SPEAKER_10
transcript.pyannote[280].start 2643.55034375
transcript.pyannote[280].end 2646.21659375
transcript.pyannote[281].speaker SPEAKER_10
transcript.pyannote[281].start 2646.70596875
transcript.pyannote[281].end 2648.83221875
transcript.pyannote[282].speaker SPEAKER_10
transcript.pyannote[282].start 2649.10221875
transcript.pyannote[282].end 2650.48596875
transcript.pyannote[283].speaker SPEAKER_10
transcript.pyannote[283].start 2650.95846875
transcript.pyannote[283].end 2651.61659375
transcript.pyannote[284].speaker SPEAKER_10
transcript.pyannote[284].start 2651.70096875
transcript.pyannote[284].end 2652.24096875
transcript.pyannote[285].speaker SPEAKER_10
transcript.pyannote[285].start 2652.66284375
transcript.pyannote[285].end 2653.54034375
transcript.pyannote[286].speaker SPEAKER_10
transcript.pyannote[286].start 2654.02971875
transcript.pyannote[286].end 2654.99159375
transcript.pyannote[287].speaker SPEAKER_10
transcript.pyannote[287].start 2655.26159375
transcript.pyannote[287].end 2656.67909375
transcript.pyannote[288].speaker SPEAKER_10
transcript.pyannote[288].start 2656.98284375
transcript.pyannote[288].end 2660.35784375
transcript.pyannote[289].speaker SPEAKER_10
transcript.pyannote[289].start 2660.61096875
transcript.pyannote[289].end 2668.32284375
transcript.pyannote[290].speaker SPEAKER_10
transcript.pyannote[290].start 2668.76159375
transcript.pyannote[290].end 2670.65159375
transcript.pyannote[291].speaker SPEAKER_10
transcript.pyannote[291].start 2671.27596875
transcript.pyannote[291].end 2673.33471875
transcript.pyannote[292].speaker SPEAKER_10
transcript.pyannote[292].start 2673.70596875
transcript.pyannote[292].end 2674.17846875
transcript.pyannote[293].speaker SPEAKER_10
transcript.pyannote[293].start 2674.58346875
transcript.pyannote[293].end 2675.44409375
transcript.pyannote[294].speaker SPEAKER_10
transcript.pyannote[294].start 2675.62971875
transcript.pyannote[294].end 2684.97846875
transcript.pyannote[295].speaker SPEAKER_10
transcript.pyannote[295].start 2685.31596875
transcript.pyannote[295].end 2686.91909375
transcript.pyannote[296].speaker SPEAKER_10
transcript.pyannote[296].start 2687.69534375
transcript.pyannote[296].end 2690.49659375
transcript.pyannote[297].speaker SPEAKER_10
transcript.pyannote[297].start 2691.10409375
transcript.pyannote[297].end 2691.62721875
transcript.pyannote[298].speaker SPEAKER_10
transcript.pyannote[298].start 2691.72846875
transcript.pyannote[298].end 2694.02346875
transcript.pyannote[299].speaker SPEAKER_10
transcript.pyannote[299].start 2694.51284375
transcript.pyannote[299].end 2704.84034375
transcript.pyannote[300].speaker SPEAKER_10
transcript.pyannote[300].start 2706.05534375
transcript.pyannote[300].end 2709.24471875
transcript.pyannote[301].speaker SPEAKER_10
transcript.pyannote[301].start 2709.64971875
transcript.pyannote[301].end 2710.47659375
transcript.pyannote[302].speaker SPEAKER_10
transcript.pyannote[302].start 2711.30346875
transcript.pyannote[302].end 2712.48471875
transcript.pyannote[303].speaker SPEAKER_10
transcript.pyannote[303].start 2713.73346875
transcript.pyannote[303].end 2717.47971875
transcript.pyannote[304].speaker SPEAKER_10
transcript.pyannote[304].start 2718.03659375
transcript.pyannote[304].end 2718.77909375
transcript.pyannote[305].speaker SPEAKER_10
transcript.pyannote[305].start 2718.93096875
transcript.pyannote[305].end 2720.82096875
transcript.pyannote[306].speaker SPEAKER_10
transcript.pyannote[306].start 2721.71534375
transcript.pyannote[306].end 2722.35659375
transcript.pyannote[307].speaker SPEAKER_10
transcript.pyannote[307].start 2723.08221875
transcript.pyannote[307].end 2724.88784375
transcript.pyannote[308].speaker SPEAKER_10
transcript.pyannote[308].start 2725.17471875
transcript.pyannote[308].end 2725.81596875
transcript.pyannote[309].speaker SPEAKER_10
transcript.pyannote[309].start 2726.15346875
transcript.pyannote[309].end 2726.99721875
transcript.pyannote[310].speaker SPEAKER_10
transcript.pyannote[310].start 2727.13221875
transcript.pyannote[310].end 2727.60471875
transcript.pyannote[311].speaker SPEAKER_10
transcript.pyannote[311].start 2728.33034375
transcript.pyannote[311].end 2729.39346875
transcript.pyannote[312].speaker SPEAKER_10
transcript.pyannote[312].start 2729.86596875
transcript.pyannote[312].end 2731.03034375
transcript.pyannote[313].speaker SPEAKER_10
transcript.pyannote[313].start 2732.05971875
transcript.pyannote[313].end 2735.63721875
transcript.pyannote[314].speaker SPEAKER_10
transcript.pyannote[314].start 2735.80596875
transcript.pyannote[314].end 2738.15159375
transcript.pyannote[315].speaker SPEAKER_10
transcript.pyannote[315].start 2738.62409375
transcript.pyannote[315].end 2741.98221875
transcript.pyannote[316].speaker SPEAKER_10
transcript.pyannote[316].start 2742.23534375
transcript.pyannote[316].end 2744.88471875
transcript.pyannote[317].speaker SPEAKER_10
transcript.pyannote[317].start 2745.37409375
transcript.pyannote[317].end 2746.06596875
transcript.pyannote[318].speaker SPEAKER_10
transcript.pyannote[318].start 2746.26846875
transcript.pyannote[318].end 2748.76596875
transcript.pyannote[319].speaker SPEAKER_10
transcript.pyannote[319].start 2749.15409375
transcript.pyannote[319].end 2749.71096875
transcript.pyannote[320].speaker SPEAKER_10
transcript.pyannote[320].start 2749.93034375
transcript.pyannote[320].end 2750.80784375
transcript.pyannote[321].speaker SPEAKER_10
transcript.pyannote[321].start 2751.07784375
transcript.pyannote[321].end 2755.92096875
transcript.pyannote[322].speaker SPEAKER_10
transcript.pyannote[322].start 2756.44409375
transcript.pyannote[322].end 2758.65471875
transcript.pyannote[323].speaker SPEAKER_10
transcript.pyannote[323].start 2758.72221875
transcript.pyannote[323].end 2761.33784375
transcript.pyannote[324].speaker SPEAKER_10
transcript.pyannote[324].start 2762.08034375
transcript.pyannote[324].end 2765.91096875
transcript.pyannote[325].speaker SPEAKER_10
transcript.pyannote[325].start 2766.18096875
transcript.pyannote[325].end 2766.83909375
transcript.pyannote[326].speaker SPEAKER_10
transcript.pyannote[326].start 2767.10909375
transcript.pyannote[326].end 2773.13346875
transcript.pyannote[327].speaker SPEAKER_10
transcript.pyannote[327].start 2773.69034375
transcript.pyannote[327].end 2774.19659375
transcript.pyannote[328].speaker SPEAKER_10
transcript.pyannote[328].start 2774.77034375
transcript.pyannote[328].end 2776.25534375
transcript.pyannote[329].speaker SPEAKER_10
transcript.pyannote[329].start 2777.52096875
transcript.pyannote[329].end 2779.42784375
transcript.pyannote[330].speaker SPEAKER_10
transcript.pyannote[330].start 2780.06909375
transcript.pyannote[330].end 2780.49096875
transcript.pyannote[331].speaker SPEAKER_10
transcript.pyannote[331].start 2781.14909375
transcript.pyannote[331].end 2781.63846875
transcript.pyannote[332].speaker SPEAKER_10
transcript.pyannote[332].start 2781.92534375
transcript.pyannote[332].end 2783.15721875
transcript.pyannote[333].speaker SPEAKER_10
transcript.pyannote[333].start 2783.54534375
transcript.pyannote[333].end 2783.84909375
transcript.pyannote[334].speaker SPEAKER_10
transcript.pyannote[334].start 2784.32159375
transcript.pyannote[334].end 2784.82784375
transcript.pyannote[335].speaker SPEAKER_10
transcript.pyannote[335].start 2785.06409375
transcript.pyannote[335].end 2786.00909375
transcript.pyannote[336].speaker SPEAKER_10
transcript.pyannote[336].start 2786.32971875
transcript.pyannote[336].end 2788.59096875
transcript.pyannote[337].speaker SPEAKER_10
transcript.pyannote[337].start 2788.62471875
transcript.pyannote[337].end 2792.80971875
transcript.pyannote[338].speaker SPEAKER_10
transcript.pyannote[338].start 2793.07971875
transcript.pyannote[338].end 2793.82221875
transcript.pyannote[339].speaker SPEAKER_10
transcript.pyannote[339].start 2794.32846875
transcript.pyannote[339].end 2796.20159375
transcript.pyannote[340].speaker SPEAKER_10
transcript.pyannote[340].start 2796.72471875
transcript.pyannote[340].end 2798.36159375
transcript.pyannote[341].speaker SPEAKER_10
transcript.pyannote[341].start 2798.63159375
transcript.pyannote[341].end 2800.31909375
transcript.pyannote[342].speaker SPEAKER_10
transcript.pyannote[342].start 2800.60596875
transcript.pyannote[342].end 2801.33159375
transcript.pyannote[343].speaker SPEAKER_10
transcript.pyannote[343].start 2801.55096875
transcript.pyannote[343].end 2804.60534375
transcript.pyannote[344].speaker SPEAKER_10
transcript.pyannote[344].start 2804.75721875
transcript.pyannote[344].end 2807.62596875
transcript.pyannote[345].speaker SPEAKER_10
transcript.pyannote[345].start 2807.92971875
transcript.pyannote[345].end 2808.50346875
transcript.pyannote[346].speaker SPEAKER_10
transcript.pyannote[346].start 2808.67221875
transcript.pyannote[346].end 2811.92909375
transcript.pyannote[347].speaker SPEAKER_10
transcript.pyannote[347].start 2812.23284375
transcript.pyannote[347].end 2814.39284375
transcript.pyannote[348].speaker SPEAKER_10
transcript.pyannote[348].start 2814.96659375
transcript.pyannote[348].end 2816.97471875
transcript.pyannote[349].speaker SPEAKER_10
transcript.pyannote[349].start 2817.31221875
transcript.pyannote[349].end 2818.02096875
transcript.pyannote[350].speaker SPEAKER_10
transcript.pyannote[350].start 2818.30784375
transcript.pyannote[350].end 2820.33284375
transcript.pyannote[351].speaker SPEAKER_10
transcript.pyannote[351].start 2820.67034375
transcript.pyannote[351].end 2822.00346875
transcript.pyannote[352].speaker SPEAKER_10
transcript.pyannote[352].start 2822.15534375
transcript.pyannote[352].end 2824.28159375
transcript.pyannote[353].speaker SPEAKER_10
transcript.pyannote[353].start 2824.56846875
transcript.pyannote[353].end 2830.18784375
transcript.pyannote[354].speaker SPEAKER_37
transcript.pyannote[354].start 2835.19971875
transcript.pyannote[354].end 2837.84909375
transcript.pyannote[355].speaker SPEAKER_37
transcript.pyannote[355].start 2838.69284375
transcript.pyannote[355].end 2844.54846875
transcript.pyannote[356].speaker SPEAKER_37
transcript.pyannote[356].start 2845.03784375
transcript.pyannote[356].end 2847.07971875
transcript.pyannote[357].speaker SPEAKER_37
transcript.pyannote[357].start 2847.55221875
transcript.pyannote[357].end 2849.40846875
transcript.pyannote[358].speaker SPEAKER_37
transcript.pyannote[358].start 2850.11721875
transcript.pyannote[358].end 2850.84284375
transcript.pyannote[359].speaker SPEAKER_37
transcript.pyannote[359].start 2852.26034375
transcript.pyannote[359].end 2854.11659375
transcript.pyannote[360].speaker SPEAKER_37
transcript.pyannote[360].start 2856.83346875
transcript.pyannote[360].end 2858.55471875
transcript.pyannote[361].speaker SPEAKER_17
transcript.pyannote[361].start 2872.37534375
transcript.pyannote[361].end 2877.38721875
transcript.pyannote[362].speaker SPEAKER_17
transcript.pyannote[362].start 2877.53909375
transcript.pyannote[362].end 2882.97284375
transcript.pyannote[363].speaker SPEAKER_17
transcript.pyannote[363].start 2883.24284375
transcript.pyannote[363].end 2890.11096875
transcript.pyannote[364].speaker SPEAKER_37
transcript.pyannote[364].start 2890.36409375
transcript.pyannote[364].end 2892.60846875
transcript.pyannote[365].speaker SPEAKER_17
transcript.pyannote[365].start 2890.58346875
transcript.pyannote[365].end 2891.35971875
transcript.pyannote[366].speaker SPEAKER_37
transcript.pyannote[366].start 2892.82784375
transcript.pyannote[366].end 2893.92471875
transcript.pyannote[367].speaker SPEAKER_17
transcript.pyannote[367].start 2906.15909375
transcript.pyannote[367].end 2906.91846875
transcript.pyannote[368].speaker SPEAKER_17
transcript.pyannote[368].start 2907.22221875
transcript.pyannote[368].end 2908.94346875
transcript.pyannote[369].speaker SPEAKER_17
transcript.pyannote[369].start 2909.21346875
transcript.pyannote[369].end 2909.90534375
transcript.pyannote[370].speaker SPEAKER_17
transcript.pyannote[370].start 2910.56346875
transcript.pyannote[370].end 2912.09909375
transcript.pyannote[371].speaker SPEAKER_17
transcript.pyannote[371].start 2912.74034375
transcript.pyannote[371].end 2913.88784375
transcript.pyannote[372].speaker SPEAKER_17
transcript.pyannote[372].start 2914.39409375
transcript.pyannote[372].end 2917.49909375
transcript.pyannote[373].speaker SPEAKER_17
transcript.pyannote[373].start 2917.76909375
transcript.pyannote[373].end 2919.89534375
transcript.pyannote[374].speaker SPEAKER_10
transcript.pyannote[374].start 2920.51971875
transcript.pyannote[374].end 2920.99221875
transcript.pyannote[375].speaker SPEAKER_17
transcript.pyannote[375].start 2921.85284375
transcript.pyannote[375].end 2921.86971875
transcript.pyannote[376].speaker SPEAKER_10
transcript.pyannote[376].start 2921.86971875
transcript.pyannote[376].end 2922.73034375
transcript.pyannote[377].speaker SPEAKER_10
transcript.pyannote[377].start 2923.25346875
transcript.pyannote[377].end 2927.45534375
transcript.pyannote[378].speaker SPEAKER_10
transcript.pyannote[378].start 2927.84346875
transcript.pyannote[378].end 2930.54346875
transcript.pyannote[379].speaker SPEAKER_10
transcript.pyannote[379].start 2931.25221875
transcript.pyannote[379].end 2932.78784375
transcript.pyannote[380].speaker SPEAKER_17
transcript.pyannote[380].start 2932.18034375
transcript.pyannote[380].end 2933.64846875
transcript.pyannote[381].speaker SPEAKER_10
transcript.pyannote[381].start 2934.45846875
transcript.pyannote[381].end 2937.69846875
transcript.pyannote[382].speaker SPEAKER_10
transcript.pyannote[382].start 2938.42409375
transcript.pyannote[382].end 2943.11534375
transcript.pyannote[383].speaker SPEAKER_17
transcript.pyannote[383].start 2938.54221875
transcript.pyannote[383].end 2939.11596875
transcript.pyannote[384].speaker SPEAKER_17
transcript.pyannote[384].start 2943.33471875
transcript.pyannote[384].end 2946.82784375
transcript.pyannote[385].speaker SPEAKER_17
transcript.pyannote[385].start 2947.38471875
transcript.pyannote[385].end 2947.87409375
transcript.pyannote[386].speaker SPEAKER_17
transcript.pyannote[386].start 2948.02596875
transcript.pyannote[386].end 2951.87346875
transcript.pyannote[387].speaker SPEAKER_17
transcript.pyannote[387].start 2952.39659375
transcript.pyannote[387].end 2953.79721875
transcript.pyannote[388].speaker SPEAKER_17
transcript.pyannote[388].start 2954.25284375
transcript.pyannote[388].end 2955.19784375
transcript.pyannote[389].speaker SPEAKER_17
transcript.pyannote[389].start 2955.24846875
transcript.pyannote[389].end 2956.78409375
transcript.pyannote[390].speaker SPEAKER_17
transcript.pyannote[390].start 2956.86846875
transcript.pyannote[390].end 2957.54346875
transcript.pyannote[391].speaker SPEAKER_17
transcript.pyannote[391].start 2957.98221875
transcript.pyannote[391].end 2961.99846875
transcript.pyannote[392].speaker SPEAKER_17
transcript.pyannote[392].start 2962.25159375
transcript.pyannote[392].end 2964.64784375
transcript.pyannote[393].speaker SPEAKER_17
transcript.pyannote[393].start 2965.76159375
transcript.pyannote[393].end 2965.96409375
transcript.pyannote[394].speaker SPEAKER_10
transcript.pyannote[394].start 2965.96409375
transcript.pyannote[394].end 2966.33534375
transcript.pyannote[395].speaker SPEAKER_17
transcript.pyannote[395].start 2967.01034375
transcript.pyannote[395].end 2967.02721875
transcript.pyannote[396].speaker SPEAKER_10
transcript.pyannote[396].start 2967.02721875
transcript.pyannote[396].end 2973.33846875
transcript.pyannote[397].speaker SPEAKER_10
transcript.pyannote[397].start 2973.40596875
transcript.pyannote[397].end 2977.86096875
transcript.pyannote[398].speaker SPEAKER_10
transcript.pyannote[398].start 2978.18159375
transcript.pyannote[398].end 2978.72159375
transcript.pyannote[399].speaker SPEAKER_10
transcript.pyannote[399].start 2978.99159375
transcript.pyannote[399].end 2981.38784375
transcript.pyannote[400].speaker SPEAKER_10
transcript.pyannote[400].start 2981.67471875
transcript.pyannote[400].end 2984.27346875
transcript.pyannote[401].speaker SPEAKER_10
transcript.pyannote[401].start 2984.47596875
transcript.pyannote[401].end 2992.99784375
transcript.pyannote[402].speaker SPEAKER_10
transcript.pyannote[402].start 2993.85846875
transcript.pyannote[402].end 2995.68096875
transcript.pyannote[403].speaker SPEAKER_10
transcript.pyannote[403].start 2995.95096875
transcript.pyannote[403].end 2997.33471875
transcript.pyannote[404].speaker SPEAKER_10
transcript.pyannote[404].start 2997.65534375
transcript.pyannote[404].end 3000.45659375
transcript.pyannote[405].speaker SPEAKER_10
transcript.pyannote[405].start 3001.04721875
transcript.pyannote[405].end 3001.53659375
transcript.pyannote[406].speaker SPEAKER_10
transcript.pyannote[406].start 3001.80659375
transcript.pyannote[406].end 3002.02596875
transcript.pyannote[407].speaker SPEAKER_17
transcript.pyannote[407].start 3002.02596875
transcript.pyannote[407].end 3003.39284375
transcript.pyannote[408].speaker SPEAKER_17
transcript.pyannote[408].start 3004.08471875
transcript.pyannote[408].end 3004.60784375
transcript.pyannote[409].speaker SPEAKER_17
transcript.pyannote[409].start 3005.01284375
transcript.pyannote[409].end 3005.78909375
transcript.pyannote[410].speaker SPEAKER_17
transcript.pyannote[410].start 3006.34596875
transcript.pyannote[410].end 3007.10534375
transcript.pyannote[411].speaker SPEAKER_17
transcript.pyannote[411].start 3007.69596875
transcript.pyannote[411].end 3009.02909375
transcript.pyannote[412].speaker SPEAKER_17
transcript.pyannote[412].start 3009.99096875
transcript.pyannote[412].end 3011.88096875
transcript.pyannote[413].speaker SPEAKER_17
transcript.pyannote[413].start 3012.08346875
transcript.pyannote[413].end 3012.53909375
transcript.pyannote[414].speaker SPEAKER_17
transcript.pyannote[414].start 3013.09596875
transcript.pyannote[414].end 3014.24346875
transcript.pyannote[415].speaker SPEAKER_17
transcript.pyannote[415].start 3014.64846875
transcript.pyannote[415].end 3016.36971875
transcript.pyannote[416].speaker SPEAKER_17
transcript.pyannote[416].start 3016.62284375
transcript.pyannote[416].end 3018.51284375
transcript.pyannote[417].speaker SPEAKER_17
transcript.pyannote[417].start 3018.93471875
transcript.pyannote[417].end 3019.86284375
transcript.pyannote[418].speaker SPEAKER_17
transcript.pyannote[418].start 3020.14971875
transcript.pyannote[418].end 3020.68971875
transcript.pyannote[419].speaker SPEAKER_17
transcript.pyannote[419].start 3021.26346875
transcript.pyannote[419].end 3021.48284375
transcript.pyannote[420].speaker SPEAKER_17
transcript.pyannote[420].start 3022.02284375
transcript.pyannote[420].end 3023.32221875
transcript.pyannote[421].speaker SPEAKER_17
transcript.pyannote[421].start 3023.64284375
transcript.pyannote[421].end 3030.64596875
transcript.pyannote[422].speaker SPEAKER_36
transcript.pyannote[422].start 3030.40971875
transcript.pyannote[422].end 3030.42659375
transcript.pyannote[423].speaker SPEAKER_17
transcript.pyannote[423].start 3030.76409375
transcript.pyannote[423].end 3035.94471875
transcript.pyannote[424].speaker SPEAKER_00
transcript.pyannote[424].start 3030.88221875
transcript.pyannote[424].end 3030.91596875
transcript.pyannote[425].speaker SPEAKER_28
transcript.pyannote[425].start 3030.91596875
transcript.pyannote[425].end 3030.98346875
transcript.pyannote[426].speaker SPEAKER_13
transcript.pyannote[426].start 3030.98346875
transcript.pyannote[426].end 3031.06784375
transcript.pyannote[427].speaker SPEAKER_28
transcript.pyannote[427].start 3031.06784375
transcript.pyannote[427].end 3031.11846875
transcript.pyannote[428].speaker SPEAKER_00
transcript.pyannote[428].start 3031.11846875
transcript.pyannote[428].end 3031.15221875
transcript.pyannote[429].speaker SPEAKER_17
transcript.pyannote[429].start 3036.29909375
transcript.pyannote[429].end 3039.67409375
transcript.pyannote[430].speaker SPEAKER_17
transcript.pyannote[430].start 3039.82596875
transcript.pyannote[430].end 3042.05346875
transcript.pyannote[431].speaker SPEAKER_17
transcript.pyannote[431].start 3042.18846875
transcript.pyannote[431].end 3043.84221875
transcript.pyannote[432].speaker SPEAKER_17
transcript.pyannote[432].start 3044.11221875
transcript.pyannote[432].end 3046.64346875
transcript.pyannote[433].speaker SPEAKER_17
transcript.pyannote[433].start 3046.93034375
transcript.pyannote[433].end 3047.33534375
transcript.pyannote[434].speaker SPEAKER_17
transcript.pyannote[434].start 3047.72346875
transcript.pyannote[434].end 3048.24659375
transcript.pyannote[435].speaker SPEAKER_17
transcript.pyannote[435].start 3048.78659375
transcript.pyannote[435].end 3049.74846875
transcript.pyannote[436].speaker SPEAKER_17
transcript.pyannote[436].start 3050.15346875
transcript.pyannote[436].end 3051.11534375
transcript.pyannote[437].speaker SPEAKER_17
transcript.pyannote[437].start 3051.65534375
transcript.pyannote[437].end 3053.24159375
transcript.pyannote[438].speaker SPEAKER_17
transcript.pyannote[438].start 3053.68034375
transcript.pyannote[438].end 3055.65471875
transcript.pyannote[439].speaker SPEAKER_38
transcript.pyannote[439].start 3056.54909375
transcript.pyannote[439].end 3060.73409375
transcript.pyannote[440].speaker SPEAKER_17
transcript.pyannote[440].start 3060.21096875
transcript.pyannote[440].end 3061.78034375
transcript.pyannote[441].speaker SPEAKER_38
transcript.pyannote[441].start 3062.37096875
transcript.pyannote[441].end 3064.63221875
transcript.pyannote[442].speaker SPEAKER_17
transcript.pyannote[442].start 3064.63221875
transcript.pyannote[442].end 3064.64909375
transcript.pyannote[443].speaker SPEAKER_17
transcript.pyannote[443].start 3064.68284375
transcript.pyannote[443].end 3065.17221875
transcript.pyannote[444].speaker SPEAKER_17
transcript.pyannote[444].start 3065.42534375
transcript.pyannote[444].end 3068.34471875
transcript.pyannote[445].speaker SPEAKER_17
transcript.pyannote[445].start 3068.54721875
transcript.pyannote[445].end 3070.03221875
transcript.pyannote[446].speaker SPEAKER_17
transcript.pyannote[446].start 3070.30221875
transcript.pyannote[446].end 3074.68971875
transcript.pyannote[447].speaker SPEAKER_17
transcript.pyannote[447].start 3074.99346875
transcript.pyannote[447].end 3079.26284375
transcript.pyannote[448].speaker SPEAKER_17
transcript.pyannote[448].start 3079.60034375
transcript.pyannote[448].end 3083.22846875
transcript.pyannote[449].speaker SPEAKER_17
transcript.pyannote[449].start 3083.98784375
transcript.pyannote[449].end 3085.40534375
transcript.pyannote[450].speaker SPEAKER_17
transcript.pyannote[450].start 3086.01284375
transcript.pyannote[450].end 3086.63721875
transcript.pyannote[451].speaker SPEAKER_17
transcript.pyannote[451].start 3086.99159375
transcript.pyannote[451].end 3087.49784375
transcript.pyannote[452].speaker SPEAKER_17
transcript.pyannote[452].start 3087.76784375
transcript.pyannote[452].end 3089.62409375
transcript.pyannote[453].speaker SPEAKER_17
transcript.pyannote[453].start 3089.79284375
transcript.pyannote[453].end 3091.39596875
transcript.pyannote[454].speaker SPEAKER_17
transcript.pyannote[454].start 3092.05409375
transcript.pyannote[454].end 3093.80909375
transcript.pyannote[455].speaker SPEAKER_17
transcript.pyannote[455].start 3094.04534375
transcript.pyannote[455].end 3094.56846875
transcript.pyannote[456].speaker SPEAKER_17
transcript.pyannote[456].start 3094.70346875
transcript.pyannote[456].end 3094.92284375
transcript.pyannote[457].speaker SPEAKER_17
transcript.pyannote[457].start 3095.17596875
transcript.pyannote[457].end 3096.05346875
transcript.pyannote[458].speaker SPEAKER_17
transcript.pyannote[458].start 3096.50909375
transcript.pyannote[458].end 3098.65221875
transcript.pyannote[459].speaker SPEAKER_17
transcript.pyannote[459].start 3099.05721875
transcript.pyannote[459].end 3100.32284375
transcript.pyannote[460].speaker SPEAKER_17
transcript.pyannote[460].start 3100.82909375
transcript.pyannote[460].end 3103.15784375
transcript.pyannote[461].speaker SPEAKER_17
transcript.pyannote[461].start 3103.39409375
transcript.pyannote[461].end 3104.54159375
transcript.pyannote[462].speaker SPEAKER_17
transcript.pyannote[462].start 3104.91284375
transcript.pyannote[462].end 3106.85346875
transcript.pyannote[463].speaker SPEAKER_17
transcript.pyannote[463].start 3107.62971875
transcript.pyannote[463].end 3108.03471875
transcript.pyannote[464].speaker SPEAKER_17
transcript.pyannote[464].start 3108.92909375
transcript.pyannote[464].end 3109.62096875
transcript.pyannote[465].speaker SPEAKER_17
transcript.pyannote[465].start 3109.89096875
transcript.pyannote[465].end 3111.84846875
transcript.pyannote[466].speaker SPEAKER_17
transcript.pyannote[466].start 3112.13534375
transcript.pyannote[466].end 3113.82284375
transcript.pyannote[467].speaker SPEAKER_17
transcript.pyannote[467].start 3113.90721875
transcript.pyannote[467].end 3117.24846875
transcript.pyannote[468].speaker SPEAKER_17
transcript.pyannote[468].start 3117.61971875
transcript.pyannote[468].end 3119.42534375
transcript.pyannote[469].speaker SPEAKER_38
transcript.pyannote[469].start 3119.94846875
transcript.pyannote[469].end 3135.77721875
transcript.pyannote[470].speaker SPEAKER_00
transcript.pyannote[470].start 3125.85471875
transcript.pyannote[470].end 3125.87159375
transcript.pyannote[471].speaker SPEAKER_17
transcript.pyannote[471].start 3125.87159375
transcript.pyannote[471].end 3127.23846875
transcript.pyannote[472].speaker SPEAKER_38
transcript.pyannote[472].start 3135.99659375
transcript.pyannote[472].end 3136.03034375
transcript.pyannote[473].speaker SPEAKER_17
transcript.pyannote[473].start 3136.03034375
transcript.pyannote[473].end 3136.13159375
transcript.pyannote[474].speaker SPEAKER_38
transcript.pyannote[474].start 3136.13159375
transcript.pyannote[474].end 3136.97534375
transcript.pyannote[475].speaker SPEAKER_17
transcript.pyannote[475].start 3136.97534375
transcript.pyannote[475].end 3140.38409375
transcript.pyannote[476].speaker SPEAKER_17
transcript.pyannote[476].start 3140.87346875
transcript.pyannote[476].end 3143.25284375
transcript.pyannote[477].speaker SPEAKER_17
transcript.pyannote[477].start 3143.77596875
transcript.pyannote[477].end 3147.04971875
transcript.pyannote[478].speaker SPEAKER_17
transcript.pyannote[478].start 3147.30284375
transcript.pyannote[478].end 3149.56409375
transcript.pyannote[479].speaker SPEAKER_17
transcript.pyannote[479].start 3150.22221875
transcript.pyannote[479].end 3151.48784375
transcript.pyannote[480].speaker SPEAKER_17
transcript.pyannote[480].start 3151.87596875
transcript.pyannote[480].end 3156.66846875
transcript.pyannote[481].speaker SPEAKER_17
transcript.pyannote[481].start 3156.87096875
transcript.pyannote[481].end 3158.27159375
transcript.pyannote[482].speaker SPEAKER_17
transcript.pyannote[482].start 3158.52471875
transcript.pyannote[482].end 3160.44846875
transcript.pyannote[483].speaker SPEAKER_17
transcript.pyannote[483].start 3160.71846875
transcript.pyannote[483].end 3161.52846875
transcript.pyannote[484].speaker SPEAKER_17
transcript.pyannote[484].start 3162.40596875
transcript.pyannote[484].end 3165.59534375
transcript.pyannote[485].speaker SPEAKER_17
transcript.pyannote[485].start 3166.06784375
transcript.pyannote[485].end 3167.09721875
transcript.pyannote[486].speaker SPEAKER_17
transcript.pyannote[486].start 3167.24909375
transcript.pyannote[486].end 3170.11784375
transcript.pyannote[487].speaker SPEAKER_17
transcript.pyannote[487].start 3170.37096875
transcript.pyannote[487].end 3172.61534375
transcript.pyannote[488].speaker SPEAKER_17
transcript.pyannote[488].start 3173.00346875
transcript.pyannote[488].end 3173.67846875
transcript.pyannote[489].speaker SPEAKER_17
transcript.pyannote[489].start 3173.89784375
transcript.pyannote[489].end 3175.66971875
transcript.pyannote[490].speaker SPEAKER_17
transcript.pyannote[490].start 3176.22659375
transcript.pyannote[490].end 3178.16721875
transcript.pyannote[491].speaker SPEAKER_17
transcript.pyannote[491].start 3178.63971875
transcript.pyannote[491].end 3181.32284375
transcript.pyannote[492].speaker SPEAKER_17
transcript.pyannote[492].start 3182.04846875
transcript.pyannote[492].end 3183.53346875
transcript.pyannote[493].speaker SPEAKER_17
transcript.pyannote[493].start 3183.70221875
transcript.pyannote[493].end 3184.41096875
transcript.pyannote[494].speaker SPEAKER_17
transcript.pyannote[494].start 3184.83284375
transcript.pyannote[494].end 3188.73096875
transcript.pyannote[495].speaker SPEAKER_17
transcript.pyannote[495].start 3189.25409375
transcript.pyannote[495].end 3192.32534375
transcript.pyannote[496].speaker SPEAKER_17
transcript.pyannote[496].start 3192.88221875
transcript.pyannote[496].end 3209.03159375
transcript.pyannote[497].speaker SPEAKER_17
transcript.pyannote[497].start 3209.18346875
transcript.pyannote[497].end 3212.67659375
transcript.pyannote[498].speaker SPEAKER_17
transcript.pyannote[498].start 3213.06471875
transcript.pyannote[498].end 3214.33034375
transcript.pyannote[499].speaker SPEAKER_17
transcript.pyannote[499].start 3215.22471875
transcript.pyannote[499].end 3215.68034375
transcript.pyannote[500].speaker SPEAKER_17
transcript.pyannote[500].start 3215.79846875
transcript.pyannote[500].end 3215.96721875
transcript.pyannote[501].speaker SPEAKER_10
transcript.pyannote[501].start 3215.96721875
transcript.pyannote[501].end 3216.84471875
transcript.pyannote[502].speaker SPEAKER_10
transcript.pyannote[502].start 3217.55346875
transcript.pyannote[502].end 3220.64159375
transcript.pyannote[503].speaker SPEAKER_10
transcript.pyannote[503].start 3220.77659375
transcript.pyannote[503].end 3222.22784375
transcript.pyannote[504].speaker SPEAKER_10
transcript.pyannote[504].start 3222.39659375
transcript.pyannote[504].end 3225.09659375
transcript.pyannote[505].speaker SPEAKER_10
transcript.pyannote[505].start 3225.40034375
transcript.pyannote[505].end 3233.61846875
transcript.pyannote[506].speaker SPEAKER_17
transcript.pyannote[506].start 3230.31096875
transcript.pyannote[506].end 3230.58096875
transcript.pyannote[507].speaker SPEAKER_09
transcript.pyannote[507].start 3230.58096875
transcript.pyannote[507].end 3230.59784375
transcript.pyannote[508].speaker SPEAKER_10
transcript.pyannote[508].start 3233.95596875
transcript.pyannote[508].end 3235.86284375
transcript.pyannote[509].speaker SPEAKER_17
transcript.pyannote[509].start 3235.86284375
transcript.pyannote[509].end 3235.87971875
transcript.pyannote[510].speaker SPEAKER_17
transcript.pyannote[510].start 3235.89659375
transcript.pyannote[510].end 3235.93034375
transcript.pyannote[511].speaker SPEAKER_10
transcript.pyannote[511].start 3235.93034375
transcript.pyannote[511].end 3236.92596875
transcript.pyannote[512].speaker SPEAKER_17
transcript.pyannote[512].start 3236.92596875
transcript.pyannote[512].end 3243.70971875
transcript.pyannote[513].speaker SPEAKER_10
transcript.pyannote[513].start 3236.94284375
transcript.pyannote[513].end 3237.71909375
transcript.pyannote[514].speaker SPEAKER_38
transcript.pyannote[514].start 3243.70971875
transcript.pyannote[514].end 3249.86909375
transcript.pyannote[515].speaker SPEAKER_38
transcript.pyannote[515].start 3250.12221875
transcript.pyannote[515].end 3261.58034375
transcript.pyannote[516].speaker SPEAKER_17
transcript.pyannote[516].start 3259.72409375
transcript.pyannote[516].end 3260.12909375
transcript.pyannote[517].speaker SPEAKER_17
transcript.pyannote[517].start 3260.93909375
transcript.pyannote[517].end 3266.71034375
transcript.pyannote[518].speaker SPEAKER_17
transcript.pyannote[518].start 3267.26721875
transcript.pyannote[518].end 3270.16971875
transcript.pyannote[519].speaker SPEAKER_17
transcript.pyannote[519].start 3270.65909375
transcript.pyannote[519].end 3272.19471875
transcript.pyannote[520].speaker SPEAKER_17
transcript.pyannote[520].start 3272.98784375
transcript.pyannote[520].end 3273.62909375
transcript.pyannote[521].speaker SPEAKER_25
transcript.pyannote[521].start 3273.84846875
transcript.pyannote[521].end 3274.08471875
transcript.pyannote[522].speaker SPEAKER_17
transcript.pyannote[522].start 3274.72596875
transcript.pyannote[522].end 3275.77221875
transcript.pyannote[523].speaker SPEAKER_17
transcript.pyannote[523].start 3276.36284375
transcript.pyannote[523].end 3278.70846875
transcript.pyannote[524].speaker SPEAKER_17
transcript.pyannote[524].start 3280.54784375
transcript.pyannote[524].end 3281.42534375
transcript.pyannote[525].speaker SPEAKER_17
transcript.pyannote[525].start 3281.81346875
transcript.pyannote[525].end 3282.23534375
transcript.pyannote[526].speaker SPEAKER_17
transcript.pyannote[526].start 3282.43784375
transcript.pyannote[526].end 3283.06221875
transcript.pyannote[527].speaker SPEAKER_17
transcript.pyannote[527].start 3283.41659375
transcript.pyannote[527].end 3284.42909375
transcript.pyannote[528].speaker SPEAKER_17
transcript.pyannote[528].start 3284.49659375
transcript.pyannote[528].end 3286.90971875
transcript.pyannote[529].speaker SPEAKER_17
transcript.pyannote[529].start 3287.17971875
transcript.pyannote[529].end 3288.51284375
transcript.pyannote[530].speaker SPEAKER_17
transcript.pyannote[530].start 3289.12034375
transcript.pyannote[530].end 3291.24659375
transcript.pyannote[531].speaker SPEAKER_17
transcript.pyannote[531].start 3291.56721875
transcript.pyannote[531].end 3292.98471875
transcript.pyannote[532].speaker SPEAKER_17
transcript.pyannote[532].start 3293.55846875
transcript.pyannote[532].end 3294.72284375
transcript.pyannote[533].speaker SPEAKER_17
transcript.pyannote[533].start 3295.36409375
transcript.pyannote[533].end 3297.42284375
transcript.pyannote[534].speaker SPEAKER_17
transcript.pyannote[534].start 3297.45659375
transcript.pyannote[534].end 3298.48596875
transcript.pyannote[535].speaker SPEAKER_17
transcript.pyannote[535].start 3298.57034375
transcript.pyannote[535].end 3300.84846875
transcript.pyannote[536].speaker SPEAKER_17
transcript.pyannote[536].start 3301.05096875
transcript.pyannote[536].end 3302.46846875
transcript.pyannote[537].speaker SPEAKER_17
transcript.pyannote[537].start 3303.02534375
transcript.pyannote[537].end 3305.94471875
transcript.pyannote[538].speaker SPEAKER_17
transcript.pyannote[538].start 3306.26534375
transcript.pyannote[538].end 3307.31159375
transcript.pyannote[539].speaker SPEAKER_17
transcript.pyannote[539].start 3307.42971875
transcript.pyannote[539].end 3307.88534375
transcript.pyannote[540].speaker SPEAKER_17
transcript.pyannote[540].start 3308.27346875
transcript.pyannote[540].end 3309.16784375
transcript.pyannote[541].speaker SPEAKER_17
transcript.pyannote[541].start 3309.48846875
transcript.pyannote[541].end 3310.43346875
transcript.pyannote[542].speaker SPEAKER_17
transcript.pyannote[542].start 3310.82159375
transcript.pyannote[542].end 3313.53846875
transcript.pyannote[543].speaker SPEAKER_17
transcript.pyannote[543].start 3314.34846875
transcript.pyannote[543].end 3316.69409375
transcript.pyannote[544].speaker SPEAKER_17
transcript.pyannote[544].start 3317.25096875
transcript.pyannote[544].end 3319.03971875
transcript.pyannote[545].speaker SPEAKER_17
transcript.pyannote[545].start 3319.46159375
transcript.pyannote[545].end 3321.11534375
transcript.pyannote[546].speaker SPEAKER_17
transcript.pyannote[546].start 3321.31784375
transcript.pyannote[546].end 3322.93784375
transcript.pyannote[547].speaker SPEAKER_17
transcript.pyannote[547].start 3323.00534375
transcript.pyannote[547].end 3324.22034375
transcript.pyannote[548].speaker SPEAKER_17
transcript.pyannote[548].start 3324.33846875
transcript.pyannote[548].end 3325.57034375
transcript.pyannote[549].speaker SPEAKER_17
transcript.pyannote[549].start 3325.63784375
transcript.pyannote[549].end 3328.47284375
transcript.pyannote[550].speaker SPEAKER_17
transcript.pyannote[550].start 3328.67534375
transcript.pyannote[550].end 3328.96221875
transcript.pyannote[551].speaker SPEAKER_10
transcript.pyannote[551].start 3328.96221875
transcript.pyannote[551].end 3329.41784375
transcript.pyannote[552].speaker SPEAKER_17
transcript.pyannote[552].start 3329.87346875
transcript.pyannote[552].end 3329.89034375
transcript.pyannote[553].speaker SPEAKER_10
transcript.pyannote[553].start 3329.89034375
transcript.pyannote[553].end 3331.78034375
transcript.pyannote[554].speaker SPEAKER_10
transcript.pyannote[554].start 3332.25284375
transcript.pyannote[554].end 3334.07534375
transcript.pyannote[555].speaker SPEAKER_10
transcript.pyannote[555].start 3334.76721875
transcript.pyannote[555].end 3336.70784375
transcript.pyannote[556].speaker SPEAKER_10
transcript.pyannote[556].start 3337.11284375
transcript.pyannote[556].end 3337.61909375
transcript.pyannote[557].speaker SPEAKER_10
transcript.pyannote[557].start 3338.42909375
transcript.pyannote[557].end 3340.94346875
transcript.pyannote[558].speaker SPEAKER_10
transcript.pyannote[558].start 3341.12909375
transcript.pyannote[558].end 3343.93034375
transcript.pyannote[559].speaker SPEAKER_10
transcript.pyannote[559].start 3343.96409375
transcript.pyannote[559].end 3344.03159375
transcript.pyannote[560].speaker SPEAKER_10
transcript.pyannote[560].start 3344.08221875
transcript.pyannote[560].end 3345.24659375
transcript.pyannote[561].speaker SPEAKER_10
transcript.pyannote[561].start 3345.49971875
transcript.pyannote[561].end 3349.19534375
transcript.pyannote[562].speaker SPEAKER_10
transcript.pyannote[562].start 3349.46534375
transcript.pyannote[562].end 3350.29221875
transcript.pyannote[563].speaker SPEAKER_17
transcript.pyannote[563].start 3350.29221875
transcript.pyannote[563].end 3353.65034375
transcript.pyannote[564].speaker SPEAKER_10
transcript.pyannote[564].start 3350.41034375
transcript.pyannote[564].end 3350.54534375
transcript.pyannote[565].speaker SPEAKER_17
transcript.pyannote[565].start 3354.02159375
transcript.pyannote[565].end 3354.51096875
transcript.pyannote[566].speaker SPEAKER_17
transcript.pyannote[566].start 3355.33784375
transcript.pyannote[566].end 3356.28284375
transcript.pyannote[567].speaker SPEAKER_17
transcript.pyannote[567].start 3356.85659375
transcript.pyannote[567].end 3358.24034375
transcript.pyannote[568].speaker SPEAKER_17
transcript.pyannote[568].start 3358.74659375
transcript.pyannote[568].end 3363.92721875
transcript.pyannote[569].speaker SPEAKER_17
transcript.pyannote[569].start 3364.36596875
transcript.pyannote[569].end 3366.07034375
transcript.pyannote[570].speaker SPEAKER_17
transcript.pyannote[570].start 3366.35721875
transcript.pyannote[570].end 3367.63971875
transcript.pyannote[571].speaker SPEAKER_17
transcript.pyannote[571].start 3368.58471875
transcript.pyannote[571].end 3373.03971875
transcript.pyannote[572].speaker SPEAKER_17
transcript.pyannote[572].start 3373.27596875
transcript.pyannote[572].end 3375.21659375
transcript.pyannote[573].speaker SPEAKER_17
transcript.pyannote[573].start 3375.68909375
transcript.pyannote[573].end 3380.59971875
transcript.pyannote[574].speaker SPEAKER_17
transcript.pyannote[574].start 3380.97096875
transcript.pyannote[574].end 3384.63284375
transcript.pyannote[575].speaker SPEAKER_17
transcript.pyannote[575].start 3384.97034375
transcript.pyannote[575].end 3386.45534375
transcript.pyannote[576].speaker SPEAKER_17
transcript.pyannote[576].start 3386.84346875
transcript.pyannote[576].end 3388.14284375
transcript.pyannote[577].speaker SPEAKER_17
transcript.pyannote[577].start 3388.41284375
transcript.pyannote[577].end 3389.79659375
transcript.pyannote[578].speaker SPEAKER_17
transcript.pyannote[578].start 3389.93159375
transcript.pyannote[578].end 3391.80471875
transcript.pyannote[579].speaker SPEAKER_41
transcript.pyannote[579].start 3392.20971875
transcript.pyannote[579].end 3394.70721875
transcript.pyannote[580].speaker SPEAKER_41
transcript.pyannote[580].start 3394.99409375
transcript.pyannote[580].end 3398.40284375
transcript.pyannote[581].speaker SPEAKER_41
transcript.pyannote[581].start 3398.67284375
transcript.pyannote[581].end 3408.52784375
transcript.pyannote[582].speaker SPEAKER_41
transcript.pyannote[582].start 3408.69659375
transcript.pyannote[582].end 3423.00659375
transcript.pyannote[583].speaker SPEAKER_36
transcript.pyannote[583].start 3408.81471875
transcript.pyannote[583].end 3408.86534375
transcript.pyannote[584].speaker SPEAKER_00
transcript.pyannote[584].start 3408.91596875
transcript.pyannote[584].end 3408.94971875
transcript.pyannote[585].speaker SPEAKER_17
transcript.pyannote[585].start 3422.28096875
transcript.pyannote[585].end 3432.89534375
transcript.pyannote[586].speaker SPEAKER_17
transcript.pyannote[586].start 3433.14846875
transcript.pyannote[586].end 3437.53596875
transcript.pyannote[587].speaker SPEAKER_17
transcript.pyannote[587].start 3437.97471875
transcript.pyannote[587].end 3442.09221875
transcript.pyannote[588].speaker SPEAKER_17
transcript.pyannote[588].start 3442.32846875
transcript.pyannote[588].end 3443.08784375
transcript.pyannote[589].speaker SPEAKER_17
transcript.pyannote[589].start 3443.74596875
transcript.pyannote[589].end 3445.78784375
transcript.pyannote[590].speaker SPEAKER_17
transcript.pyannote[590].start 3445.83846875
transcript.pyannote[590].end 3446.81721875
transcript.pyannote[591].speaker SPEAKER_17
transcript.pyannote[591].start 3447.07034375
transcript.pyannote[591].end 3454.22534375
transcript.pyannote[592].speaker SPEAKER_38
transcript.pyannote[592].start 3453.87096875
transcript.pyannote[592].end 3454.19159375
transcript.pyannote[593].speaker SPEAKER_38
transcript.pyannote[593].start 3454.20846875
transcript.pyannote[593].end 3454.24221875
transcript.pyannote[594].speaker SPEAKER_17
transcript.pyannote[594].start 3454.24221875
transcript.pyannote[594].end 3454.29284375
transcript.pyannote[595].speaker SPEAKER_38
transcript.pyannote[595].start 3454.29284375
transcript.pyannote[595].end 3454.32659375
transcript.pyannote[596].speaker SPEAKER_17
transcript.pyannote[596].start 3454.32659375
transcript.pyannote[596].end 3454.36034375
transcript.pyannote[597].speaker SPEAKER_38
transcript.pyannote[597].start 3454.36034375
transcript.pyannote[597].end 3465.93659375
transcript.pyannote[598].speaker SPEAKER_17
transcript.pyannote[598].start 3460.23284375
transcript.pyannote[598].end 3460.55346875
transcript.pyannote[599].speaker SPEAKER_00
transcript.pyannote[599].start 3460.55346875
transcript.pyannote[599].end 3460.57034375
transcript.pyannote[600].speaker SPEAKER_38
transcript.pyannote[600].start 3466.29096875
transcript.pyannote[600].end 3478.01909375
transcript.pyannote[601].speaker SPEAKER_17
transcript.pyannote[601].start 3478.01909375
transcript.pyannote[601].end 3483.36846875
transcript.pyannote[602].speaker SPEAKER_17
transcript.pyannote[602].start 3483.70596875
transcript.pyannote[602].end 3486.47346875
transcript.pyannote[603].speaker SPEAKER_37
transcript.pyannote[603].start 3483.70596875
transcript.pyannote[603].end 3495.85596875
transcript.pyannote[604].speaker SPEAKER_17
transcript.pyannote[604].start 3488.88659375
transcript.pyannote[604].end 3488.92034375
transcript.pyannote[605].speaker SPEAKER_17
transcript.pyannote[605].start 3488.93721875
transcript.pyannote[605].end 3489.02159375
transcript.pyannote[606].speaker SPEAKER_40
transcript.pyannote[606].start 3489.02159375
transcript.pyannote[606].end 3489.03846875
transcript.pyannote[607].speaker SPEAKER_17
transcript.pyannote[607].start 3489.61221875
transcript.pyannote[607].end 3489.78096875
transcript.pyannote[608].speaker SPEAKER_17
transcript.pyannote[608].start 3490.47284375
transcript.pyannote[608].end 3492.07596875
transcript.pyannote[609].speaker SPEAKER_17
transcript.pyannote[609].start 3493.56096875
transcript.pyannote[609].end 3494.91096875
transcript.pyannote[610].speaker SPEAKER_37
transcript.pyannote[610].start 3496.32846875
transcript.pyannote[610].end 3498.37034375
transcript.pyannote[611].speaker SPEAKER_17
transcript.pyannote[611].start 3496.88534375
transcript.pyannote[611].end 3497.64471875
transcript.pyannote[612].speaker SPEAKER_17
transcript.pyannote[612].start 3500.47971875
transcript.pyannote[612].end 3500.83409375
transcript.pyannote[613].speaker SPEAKER_17
transcript.pyannote[613].start 3500.96909375
transcript.pyannote[613].end 3501.94784375
transcript.pyannote[614].speaker SPEAKER_17
transcript.pyannote[614].start 3502.50471875
transcript.pyannote[614].end 3506.13284375
transcript.pyannote[615].speaker SPEAKER_17
transcript.pyannote[615].start 3506.36909375
transcript.pyannote[615].end 3507.58409375
transcript.pyannote[616].speaker SPEAKER_17
transcript.pyannote[616].start 3507.75284375
transcript.pyannote[616].end 3511.17846875
transcript.pyannote[617].speaker SPEAKER_17
transcript.pyannote[617].start 3511.34721875
transcript.pyannote[617].end 3513.16971875
transcript.pyannote[618].speaker SPEAKER_17
transcript.pyannote[618].start 3513.54096875
transcript.pyannote[618].end 3514.73909375
transcript.pyannote[619].speaker SPEAKER_17
transcript.pyannote[619].start 3514.94159375
transcript.pyannote[619].end 3518.92409375
transcript.pyannote[620].speaker SPEAKER_17
transcript.pyannote[620].start 3519.26159375
transcript.pyannote[620].end 3524.18909375
transcript.pyannote[621].speaker SPEAKER_17
transcript.pyannote[621].start 3524.42534375
transcript.pyannote[621].end 3525.82596875
transcript.pyannote[622].speaker SPEAKER_37
transcript.pyannote[622].start 3524.74596875
transcript.pyannote[622].end 3526.16346875
transcript.pyannote[623].speaker SPEAKER_17
transcript.pyannote[623].start 3526.68659375
transcript.pyannote[623].end 3527.07471875
transcript.pyannote[624].speaker SPEAKER_17
transcript.pyannote[624].start 3527.88471875
transcript.pyannote[624].end 3529.13346875
transcript.pyannote[625].speaker SPEAKER_17
transcript.pyannote[625].start 3529.25159375
transcript.pyannote[625].end 3531.76596875
transcript.pyannote[626].speaker SPEAKER_37
transcript.pyannote[626].start 3530.46659375
transcript.pyannote[626].end 3530.48346875
transcript.pyannote[627].speaker SPEAKER_17
transcript.pyannote[627].start 3532.77846875
transcript.pyannote[627].end 3533.26784375
transcript.pyannote[628].speaker SPEAKER_02
transcript.pyannote[628].start 3533.26784375
transcript.pyannote[628].end 3536.96346875
transcript.pyannote[629].speaker SPEAKER_17
transcript.pyannote[629].start 3536.96346875
transcript.pyannote[629].end 3539.56221875
transcript.pyannote[630].speaker SPEAKER_02
transcript.pyannote[630].start 3538.04346875
transcript.pyannote[630].end 3538.54971875
transcript.pyannote[631].speaker SPEAKER_17
transcript.pyannote[631].start 3539.95034375
transcript.pyannote[631].end 3541.55346875
transcript.pyannote[632].speaker SPEAKER_17
transcript.pyannote[632].start 3541.87409375
transcript.pyannote[632].end 3550.56471875
transcript.pyannote[633].speaker SPEAKER_17
transcript.pyannote[633].start 3550.93596875
transcript.pyannote[633].end 3551.49284375
transcript.pyannote[634].speaker SPEAKER_17
transcript.pyannote[634].start 3551.79659375
transcript.pyannote[634].end 3554.10846875
transcript.pyannote[635].speaker SPEAKER_17
transcript.pyannote[635].start 3554.32784375
transcript.pyannote[635].end 3555.40784375
transcript.pyannote[636].speaker SPEAKER_17
transcript.pyannote[636].start 3556.01534375
transcript.pyannote[636].end 3558.27659375
transcript.pyannote[637].speaker SPEAKER_17
transcript.pyannote[637].start 3558.46221875
transcript.pyannote[637].end 3563.11971875
transcript.pyannote[638].speaker SPEAKER_17
transcript.pyannote[638].start 3563.38971875
transcript.pyannote[638].end 3565.54971875
transcript.pyannote[639].speaker SPEAKER_17
transcript.pyannote[639].start 3566.07284375
transcript.pyannote[639].end 3567.65909375
transcript.pyannote[640].speaker SPEAKER_17
transcript.pyannote[640].start 3568.04721875
transcript.pyannote[640].end 3569.07659375
transcript.pyannote[641].speaker SPEAKER_17
transcript.pyannote[641].start 3569.21159375
transcript.pyannote[641].end 3573.66659375
transcript.pyannote[642].speaker SPEAKER_10
transcript.pyannote[642].start 3573.95346875
transcript.pyannote[642].end 3574.40909375
transcript.pyannote[643].speaker SPEAKER_17
transcript.pyannote[643].start 3574.18971875
transcript.pyannote[643].end 3576.14721875
transcript.pyannote[644].speaker SPEAKER_10
transcript.pyannote[644].start 3576.68721875
transcript.pyannote[644].end 3577.17659375
transcript.pyannote[645].speaker SPEAKER_10
transcript.pyannote[645].start 3577.44659375
transcript.pyannote[645].end 3580.34909375
transcript.pyannote[646].speaker SPEAKER_10
transcript.pyannote[646].start 3581.22659375
transcript.pyannote[646].end 3585.86721875
transcript.pyannote[647].speaker SPEAKER_17
transcript.pyannote[647].start 3582.50909375
transcript.pyannote[647].end 3583.03221875
transcript.pyannote[648].speaker SPEAKER_20
transcript.pyannote[648].start 3583.03221875
transcript.pyannote[648].end 3583.06596875
transcript.pyannote[649].speaker SPEAKER_00
transcript.pyannote[649].start 3583.43721875
transcript.pyannote[649].end 3583.50471875
transcript.pyannote[650].speaker SPEAKER_09
transcript.pyannote[650].start 3583.50471875
transcript.pyannote[650].end 3583.55534375
transcript.pyannote[651].speaker SPEAKER_17
transcript.pyannote[651].start 3583.55534375
transcript.pyannote[651].end 3583.57221875
transcript.pyannote[652].speaker SPEAKER_09
transcript.pyannote[652].start 3583.57221875
transcript.pyannote[652].end 3583.63971875
transcript.pyannote[653].speaker SPEAKER_10
transcript.pyannote[653].start 3586.17096875
transcript.pyannote[653].end 3590.99721875
transcript.pyannote[654].speaker SPEAKER_00
transcript.pyannote[654].start 3590.55846875
transcript.pyannote[654].end 3590.59221875
transcript.pyannote[655].speaker SPEAKER_09
transcript.pyannote[655].start 3590.59221875
transcript.pyannote[655].end 3590.94659375
transcript.pyannote[656].speaker SPEAKER_10
transcript.pyannote[656].start 3591.23346875
transcript.pyannote[656].end 3602.42159375
transcript.pyannote[657].speaker SPEAKER_00
transcript.pyannote[657].start 3595.41846875
transcript.pyannote[657].end 3595.43534375
transcript.pyannote[658].speaker SPEAKER_17
transcript.pyannote[658].start 3595.43534375
transcript.pyannote[658].end 3595.78971875
transcript.pyannote[659].speaker SPEAKER_00
transcript.pyannote[659].start 3595.78971875
transcript.pyannote[659].end 3595.80659375
transcript.pyannote[660].speaker SPEAKER_17
transcript.pyannote[660].start 3602.69159375
transcript.pyannote[660].end 3606.47159375
transcript.pyannote[661].speaker SPEAKER_17
transcript.pyannote[661].start 3606.80909375
transcript.pyannote[661].end 3607.82159375
transcript.pyannote[662].speaker SPEAKER_17
transcript.pyannote[662].start 3620.96721875
transcript.pyannote[662].end 3621.32159375
transcript.pyannote[663].speaker SPEAKER_17
transcript.pyannote[663].start 3621.38909375
transcript.pyannote[663].end 3622.24971875
transcript.pyannote[664].speaker SPEAKER_17
transcript.pyannote[664].start 3622.53659375
transcript.pyannote[664].end 3624.91596875
transcript.pyannote[665].speaker SPEAKER_17
transcript.pyannote[665].start 3625.21971875
transcript.pyannote[665].end 3628.03784375
transcript.pyannote[666].speaker SPEAKER_17
transcript.pyannote[666].start 3628.29096875
transcript.pyannote[666].end 3629.99534375
transcript.pyannote[667].speaker SPEAKER_17
transcript.pyannote[667].start 3630.34971875
transcript.pyannote[667].end 3633.57284375
transcript.pyannote[668].speaker SPEAKER_17
transcript.pyannote[668].start 3634.21409375
transcript.pyannote[668].end 3636.59346875
transcript.pyannote[669].speaker SPEAKER_17
transcript.pyannote[669].start 3636.84659375
transcript.pyannote[669].end 3637.50471875
transcript.pyannote[670].speaker SPEAKER_17
transcript.pyannote[670].start 3637.97721875
transcript.pyannote[670].end 3641.01471875
transcript.pyannote[671].speaker SPEAKER_17
transcript.pyannote[671].start 3641.20034375
transcript.pyannote[671].end 3646.07721875
transcript.pyannote[672].speaker SPEAKER_17
transcript.pyannote[672].start 3646.66784375
transcript.pyannote[672].end 3647.03909375
transcript.pyannote[673].speaker SPEAKER_17
transcript.pyannote[673].start 3647.37659375
transcript.pyannote[673].end 3651.71346875
transcript.pyannote[674].speaker SPEAKER_17
transcript.pyannote[674].start 3652.06784375
transcript.pyannote[674].end 3655.34159375
transcript.pyannote[675].speaker SPEAKER_17
transcript.pyannote[675].start 3655.52721875
transcript.pyannote[675].end 3656.37096875
transcript.pyannote[676].speaker SPEAKER_17
transcript.pyannote[676].start 3656.55659375
transcript.pyannote[676].end 3658.22721875
transcript.pyannote[677].speaker SPEAKER_17
transcript.pyannote[677].start 3658.51409375
transcript.pyannote[677].end 3660.79221875
transcript.pyannote[678].speaker SPEAKER_10
transcript.pyannote[678].start 3662.09159375
transcript.pyannote[678].end 3665.28096875
transcript.pyannote[679].speaker SPEAKER_10
transcript.pyannote[679].start 3665.58471875
transcript.pyannote[679].end 3670.71471875
transcript.pyannote[680].speaker SPEAKER_15
transcript.pyannote[680].start 3667.76159375
transcript.pyannote[680].end 3668.14971875
transcript.pyannote[681].speaker SPEAKER_10
transcript.pyannote[681].start 3670.93409375
transcript.pyannote[681].end 3676.80659375
transcript.pyannote[682].speaker SPEAKER_10
transcript.pyannote[682].start 3677.14409375
transcript.pyannote[682].end 3682.10534375
transcript.pyannote[683].speaker SPEAKER_23
transcript.pyannote[683].start 3682.20659375
transcript.pyannote[683].end 3693.61409375
transcript.pyannote[684].speaker SPEAKER_17
transcript.pyannote[684].start 3694.00221875
transcript.pyannote[684].end 3695.18346875
transcript.pyannote[685].speaker SPEAKER_17
transcript.pyannote[685].start 3695.58846875
transcript.pyannote[685].end 3697.00596875
transcript.pyannote[686].speaker SPEAKER_17
transcript.pyannote[686].start 3697.39409375
transcript.pyannote[686].end 3700.58346875
transcript.pyannote[687].speaker SPEAKER_17
transcript.pyannote[687].start 3700.73534375
transcript.pyannote[687].end 3703.90784375
transcript.pyannote[688].speaker SPEAKER_17
transcript.pyannote[688].start 3704.24534375
transcript.pyannote[688].end 3707.18159375
transcript.pyannote[689].speaker SPEAKER_17
transcript.pyannote[689].start 3707.53596875
transcript.pyannote[689].end 3712.44659375
transcript.pyannote[690].speaker SPEAKER_17
transcript.pyannote[690].start 3712.83471875
transcript.pyannote[690].end 3713.74596875
transcript.pyannote[691].speaker SPEAKER_17
transcript.pyannote[691].start 3714.08346875
transcript.pyannote[691].end 3715.85534375
transcript.pyannote[692].speaker SPEAKER_17
transcript.pyannote[692].start 3716.05784375
transcript.pyannote[692].end 3717.25596875
transcript.pyannote[693].speaker SPEAKER_17
transcript.pyannote[693].start 3717.69471875
transcript.pyannote[693].end 3720.69846875
transcript.pyannote[694].speaker SPEAKER_17
transcript.pyannote[694].start 3721.13721875
transcript.pyannote[694].end 3722.87534375
transcript.pyannote[695].speaker SPEAKER_17
transcript.pyannote[695].start 3723.46596875
transcript.pyannote[695].end 3724.25909375
transcript.pyannote[696].speaker SPEAKER_17
transcript.pyannote[696].start 3724.61346875
transcript.pyannote[696].end 3726.25034375
transcript.pyannote[697].speaker SPEAKER_17
transcript.pyannote[697].start 3726.43596875
transcript.pyannote[697].end 3729.00096875
transcript.pyannote[698].speaker SPEAKER_17
transcript.pyannote[698].start 3729.18659375
transcript.pyannote[698].end 3730.55346875
transcript.pyannote[699].speaker SPEAKER_17
transcript.pyannote[699].start 3730.80659375
transcript.pyannote[699].end 3732.64596875
transcript.pyannote[700].speaker SPEAKER_17
transcript.pyannote[700].start 3732.96659375
transcript.pyannote[700].end 3734.87346875
transcript.pyannote[701].speaker SPEAKER_17
transcript.pyannote[701].start 3735.16034375
transcript.pyannote[701].end 3740.03721875
transcript.pyannote[702].speaker SPEAKER_17
transcript.pyannote[702].start 3740.54346875
transcript.pyannote[702].end 3741.21846875
transcript.pyannote[703].speaker SPEAKER_17
transcript.pyannote[703].start 3741.48846875
transcript.pyannote[703].end 3743.02409375
transcript.pyannote[704].speaker SPEAKER_17
transcript.pyannote[704].start 3743.59784375
transcript.pyannote[704].end 3744.84659375
transcript.pyannote[705].speaker SPEAKER_17
transcript.pyannote[705].start 3745.11659375
transcript.pyannote[705].end 3747.47909375
transcript.pyannote[706].speaker SPEAKER_17
transcript.pyannote[706].start 3747.61409375
transcript.pyannote[706].end 3752.23784375
transcript.pyannote[707].speaker SPEAKER_17
transcript.pyannote[707].start 3752.82846875
transcript.pyannote[707].end 3756.64221875
transcript.pyannote[708].speaker SPEAKER_17
transcript.pyannote[708].start 3756.94596875
transcript.pyannote[708].end 3763.99971875
transcript.pyannote[709].speaker SPEAKER_17
transcript.pyannote[709].start 3764.35409375
transcript.pyannote[709].end 3767.49284375
transcript.pyannote[710].speaker SPEAKER_17
transcript.pyannote[710].start 3767.83034375
transcript.pyannote[710].end 3770.54721875
transcript.pyannote[711].speaker SPEAKER_17
transcript.pyannote[711].start 3770.96909375
transcript.pyannote[711].end 3772.47096875
transcript.pyannote[712].speaker SPEAKER_17
transcript.pyannote[712].start 3772.57221875
transcript.pyannote[712].end 3778.73159375
transcript.pyannote[713].speaker SPEAKER_17
transcript.pyannote[713].start 3778.98471875
transcript.pyannote[713].end 3790.13909375
transcript.pyannote[714].speaker SPEAKER_17
transcript.pyannote[714].start 3790.72971875
transcript.pyannote[714].end 3792.14721875
transcript.pyannote[715].speaker SPEAKER_10
transcript.pyannote[715].start 3792.77159375
transcript.pyannote[715].end 3797.12534375
transcript.pyannote[716].speaker SPEAKER_10
transcript.pyannote[716].start 3797.22659375
transcript.pyannote[716].end 3799.20096875
transcript.pyannote[717].speaker SPEAKER_17
transcript.pyannote[717].start 3797.95221875
transcript.pyannote[717].end 3800.82096875
transcript.pyannote[718].speaker SPEAKER_10
transcript.pyannote[718].start 3799.36971875
transcript.pyannote[718].end 3799.92659375
transcript.pyannote[719].speaker SPEAKER_10
transcript.pyannote[719].start 3800.01096875
transcript.pyannote[719].end 3804.71909375
transcript.pyannote[720].speaker SPEAKER_10
transcript.pyannote[720].start 3804.95534375
transcript.pyannote[720].end 3807.82409375
transcript.pyannote[721].speaker SPEAKER_10
transcript.pyannote[721].start 3808.16159375
transcript.pyannote[721].end 3808.73534375
transcript.pyannote[722].speaker SPEAKER_10
transcript.pyannote[722].start 3809.42721875
transcript.pyannote[722].end 3811.82346875
transcript.pyannote[723].speaker SPEAKER_10
transcript.pyannote[723].start 3812.07659375
transcript.pyannote[723].end 3817.72971875
transcript.pyannote[724].speaker SPEAKER_17
transcript.pyannote[724].start 3816.83534375
transcript.pyannote[724].end 3817.49346875
transcript.pyannote[725].speaker SPEAKER_17
transcript.pyannote[725].start 3818.33721875
transcript.pyannote[725].end 3820.29471875
transcript.pyannote[726].speaker SPEAKER_17
transcript.pyannote[726].start 3820.51409375
transcript.pyannote[726].end 3823.53471875
transcript.pyannote[727].speaker SPEAKER_17
transcript.pyannote[727].start 3823.68659375
transcript.pyannote[727].end 3826.15034375
transcript.pyannote[728].speaker SPEAKER_37
transcript.pyannote[728].start 3826.67346875
transcript.pyannote[728].end 3826.94346875
transcript.pyannote[729].speaker SPEAKER_37
transcript.pyannote[729].start 3828.76596875
transcript.pyannote[729].end 3832.39409375
transcript.pyannote[730].speaker SPEAKER_37
transcript.pyannote[730].start 3835.39784375
transcript.pyannote[730].end 3839.93721875
transcript.pyannote[731].speaker SPEAKER_37
transcript.pyannote[731].start 3840.34221875
transcript.pyannote[731].end 3842.40096875
transcript.pyannote[732].speaker SPEAKER_37
transcript.pyannote[732].start 3871.24034375
transcript.pyannote[732].end 3872.84346875
transcript.pyannote[733].speaker SPEAKER_37
transcript.pyannote[733].start 3873.33284375
transcript.pyannote[733].end 3873.90659375
transcript.pyannote[734].speaker SPEAKER_37
transcript.pyannote[734].start 3874.29471875
transcript.pyannote[734].end 3875.79659375
transcript.pyannote[735].speaker SPEAKER_21
transcript.pyannote[735].start 3885.29721875
transcript.pyannote[735].end 3885.31409375
transcript.pyannote[736].speaker SPEAKER_27
transcript.pyannote[736].start 3885.31409375
transcript.pyannote[736].end 3885.55034375
transcript.pyannote[737].speaker SPEAKER_21
transcript.pyannote[737].start 3885.55034375
transcript.pyannote[737].end 3886.59659375
transcript.pyannote[738].speaker SPEAKER_27
transcript.pyannote[738].start 3886.59659375
transcript.pyannote[738].end 3886.69784375
transcript.pyannote[739].speaker SPEAKER_21
transcript.pyannote[739].start 3886.69784375
transcript.pyannote[739].end 3886.78221875
transcript.pyannote[740].speaker SPEAKER_27
transcript.pyannote[740].start 3886.78221875
transcript.pyannote[740].end 3886.91721875
transcript.pyannote[741].speaker SPEAKER_21
transcript.pyannote[741].start 3886.91721875
transcript.pyannote[741].end 3886.96784375
transcript.pyannote[742].speaker SPEAKER_27
transcript.pyannote[742].start 3886.96784375
transcript.pyannote[742].end 3887.18721875
transcript.pyannote[743].speaker SPEAKER_27
transcript.pyannote[743].start 3888.09846875
transcript.pyannote[743].end 3892.75596875
transcript.pyannote[744].speaker SPEAKER_27
transcript.pyannote[744].start 3893.70096875
transcript.pyannote[744].end 3894.86534375
transcript.pyannote[745].speaker SPEAKER_27
transcript.pyannote[745].start 3895.70909375
transcript.pyannote[745].end 3896.67096875
transcript.pyannote[746].speaker SPEAKER_27
transcript.pyannote[746].start 3897.04221875
transcript.pyannote[746].end 3898.59471875
transcript.pyannote[747].speaker SPEAKER_27
transcript.pyannote[747].start 3899.40471875
transcript.pyannote[747].end 3900.50159375
transcript.pyannote[748].speaker SPEAKER_27
transcript.pyannote[748].start 3901.14284375
transcript.pyannote[748].end 3902.96534375
transcript.pyannote[749].speaker SPEAKER_27
transcript.pyannote[749].start 3903.62346875
transcript.pyannote[749].end 3905.19284375
transcript.pyannote[750].speaker SPEAKER_27
transcript.pyannote[750].start 3905.85096875
transcript.pyannote[750].end 3906.67784375
transcript.pyannote[751].speaker SPEAKER_27
transcript.pyannote[751].start 3906.93096875
transcript.pyannote[751].end 3908.78721875
transcript.pyannote[752].speaker SPEAKER_27
transcript.pyannote[752].start 3909.09096875
transcript.pyannote[752].end 3910.44096875
transcript.pyannote[753].speaker SPEAKER_27
transcript.pyannote[753].start 3910.59284375
transcript.pyannote[753].end 3913.27596875
transcript.pyannote[754].speaker SPEAKER_27
transcript.pyannote[754].start 3913.52909375
transcript.pyannote[754].end 3915.04784375
transcript.pyannote[755].speaker SPEAKER_27
transcript.pyannote[755].start 3915.82409375
transcript.pyannote[755].end 3918.28784375
transcript.pyannote[756].speaker SPEAKER_27
transcript.pyannote[756].start 3918.74346875
transcript.pyannote[756].end 3919.03034375
transcript.pyannote[757].speaker SPEAKER_27
transcript.pyannote[757].start 3919.82346875
transcript.pyannote[757].end 3924.05909375
transcript.pyannote[758].speaker SPEAKER_27
transcript.pyannote[758].start 3924.80159375
transcript.pyannote[758].end 3926.15159375
transcript.pyannote[759].speaker SPEAKER_27
transcript.pyannote[759].start 3926.74221875
transcript.pyannote[759].end 3927.01221875
transcript.pyannote[760].speaker SPEAKER_27
transcript.pyannote[760].start 3927.21471875
transcript.pyannote[760].end 3928.37909375
transcript.pyannote[761].speaker SPEAKER_27
transcript.pyannote[761].start 3929.67846875
transcript.pyannote[761].end 3931.58534375
transcript.pyannote[762].speaker SPEAKER_27
transcript.pyannote[762].start 3931.88909375
transcript.pyannote[762].end 3932.58096875
transcript.pyannote[763].speaker SPEAKER_27
transcript.pyannote[763].start 3933.49221875
transcript.pyannote[763].end 3936.02346875
transcript.pyannote[764].speaker SPEAKER_27
transcript.pyannote[764].start 3936.76596875
transcript.pyannote[764].end 3939.73596875
transcript.pyannote[765].speaker SPEAKER_27
transcript.pyannote[765].start 3940.44471875
transcript.pyannote[765].end 3944.20784375
transcript.pyannote[766].speaker SPEAKER_27
transcript.pyannote[766].start 3944.83221875
transcript.pyannote[766].end 3947.32971875
transcript.pyannote[767].speaker SPEAKER_27
transcript.pyannote[767].start 3947.71784375
transcript.pyannote[767].end 3949.65846875
transcript.pyannote[768].speaker SPEAKER_27
transcript.pyannote[768].start 3949.99596875
transcript.pyannote[768].end 3953.55659375
transcript.pyannote[769].speaker SPEAKER_27
transcript.pyannote[769].start 3954.34971875
transcript.pyannote[769].end 3957.58971875
transcript.pyannote[770].speaker SPEAKER_27
transcript.pyannote[770].start 3958.92284375
transcript.pyannote[770].end 3959.56409375
transcript.pyannote[771].speaker SPEAKER_27
transcript.pyannote[771].start 3960.30659375
transcript.pyannote[771].end 3960.79596875
transcript.pyannote[772].speaker SPEAKER_27
transcript.pyannote[772].start 3961.62284375
transcript.pyannote[772].end 3963.78284375
transcript.pyannote[773].speaker SPEAKER_27
transcript.pyannote[773].start 3964.52534375
transcript.pyannote[773].end 3966.06096875
transcript.pyannote[774].speaker SPEAKER_27
transcript.pyannote[774].start 3966.46596875
transcript.pyannote[774].end 3967.93409375
transcript.pyannote[775].speaker SPEAKER_27
transcript.pyannote[775].start 3968.64284375
transcript.pyannote[775].end 3972.89534375
transcript.pyannote[776].speaker SPEAKER_27
transcript.pyannote[776].start 3973.36784375
transcript.pyannote[776].end 3974.71784375
transcript.pyannote[777].speaker SPEAKER_27
transcript.pyannote[777].start 3975.24096875
transcript.pyannote[777].end 3979.34159375
transcript.pyannote[778].speaker SPEAKER_27
transcript.pyannote[778].start 3979.57784375
transcript.pyannote[778].end 3980.77596875
transcript.pyannote[779].speaker SPEAKER_27
transcript.pyannote[779].start 3981.83909375
transcript.pyannote[779].end 3984.72471875
transcript.pyannote[780].speaker SPEAKER_27
transcript.pyannote[780].start 3986.49659375
transcript.pyannote[780].end 3988.48784375
transcript.pyannote[781].speaker SPEAKER_27
transcript.pyannote[781].start 3988.85909375
transcript.pyannote[781].end 3991.32284375
transcript.pyannote[782].speaker SPEAKER_27
transcript.pyannote[782].start 3993.19596875
transcript.pyannote[782].end 3994.96784375
transcript.pyannote[783].speaker SPEAKER_27
transcript.pyannote[783].start 3996.58784375
transcript.pyannote[783].end 3999.03471875
transcript.pyannote[784].speaker SPEAKER_27
transcript.pyannote[784].start 3999.37221875
transcript.pyannote[784].end 4001.05971875
transcript.pyannote[785].speaker SPEAKER_27
transcript.pyannote[785].start 4001.27909375
transcript.pyannote[785].end 4003.47284375
transcript.pyannote[786].speaker SPEAKER_27
transcript.pyannote[786].start 4004.80596875
transcript.pyannote[786].end 4005.29534375
transcript.pyannote[787].speaker SPEAKER_27
transcript.pyannote[787].start 4006.08846875
transcript.pyannote[787].end 4009.63221875
transcript.pyannote[788].speaker SPEAKER_27
transcript.pyannote[788].start 4010.15534375
transcript.pyannote[788].end 4010.17221875
transcript.pyannote[789].speaker SPEAKER_10
transcript.pyannote[789].start 4010.17221875
transcript.pyannote[789].end 4011.25221875
transcript.pyannote[790].speaker SPEAKER_10
transcript.pyannote[790].start 4011.74159375
transcript.pyannote[790].end 4017.09096875
transcript.pyannote[791].speaker SPEAKER_10
transcript.pyannote[791].start 4018.49159375
transcript.pyannote[791].end 4021.91721875
transcript.pyannote[792].speaker SPEAKER_27
transcript.pyannote[792].start 4019.97659375
transcript.pyannote[792].end 4021.15784375
transcript.pyannote[793].speaker SPEAKER_27
transcript.pyannote[793].start 4021.91721875
transcript.pyannote[793].end 4023.19971875
transcript.pyannote[794].speaker SPEAKER_10
transcript.pyannote[794].start 4023.19971875
transcript.pyannote[794].end 4026.20346875
transcript.pyannote[795].speaker SPEAKER_27
transcript.pyannote[795].start 4023.25034375
transcript.pyannote[795].end 4023.65534375
transcript.pyannote[796].speaker SPEAKER_27
transcript.pyannote[796].start 4024.31346875
transcript.pyannote[796].end 4024.90409375
transcript.pyannote[797].speaker SPEAKER_27
transcript.pyannote[797].start 4026.72659375
transcript.pyannote[797].end 4026.74346875
transcript.pyannote[798].speaker SPEAKER_10
transcript.pyannote[798].start 4026.74346875
transcript.pyannote[798].end 4029.35909375
transcript.pyannote[799].speaker SPEAKER_27
transcript.pyannote[799].start 4026.77721875
transcript.pyannote[799].end 4027.26659375
transcript.pyannote[800].speaker SPEAKER_10
transcript.pyannote[800].start 4029.42659375
transcript.pyannote[800].end 4031.82284375
transcript.pyannote[801].speaker SPEAKER_27
transcript.pyannote[801].start 4029.57846875
transcript.pyannote[801].end 4030.30409375
transcript.pyannote[802].speaker SPEAKER_27
transcript.pyannote[802].start 4031.11409375
transcript.pyannote[802].end 4032.56534375
transcript.pyannote[803].speaker SPEAKER_27
transcript.pyannote[803].start 4032.59909375
transcript.pyannote[803].end 4036.68284375
transcript.pyannote[804].speaker SPEAKER_27
transcript.pyannote[804].start 4037.32409375
transcript.pyannote[804].end 4038.57284375
transcript.pyannote[805].speaker SPEAKER_27
transcript.pyannote[805].start 4039.97346875
transcript.pyannote[805].end 4041.01971875
transcript.pyannote[806].speaker SPEAKER_27
transcript.pyannote[806].start 4041.67784375
transcript.pyannote[806].end 4042.33596875
transcript.pyannote[807].speaker SPEAKER_27
transcript.pyannote[807].start 4043.82096875
transcript.pyannote[807].end 4045.15409375
transcript.pyannote[808].speaker SPEAKER_27
transcript.pyannote[808].start 4046.26784375
transcript.pyannote[808].end 4048.09034375
transcript.pyannote[809].speaker SPEAKER_27
transcript.pyannote[809].start 4049.33909375
transcript.pyannote[809].end 4051.21221875
transcript.pyannote[810].speaker SPEAKER_27
transcript.pyannote[810].start 4052.24159375
transcript.pyannote[810].end 4054.50284375
transcript.pyannote[811].speaker SPEAKER_27
transcript.pyannote[811].start 4055.85284375
transcript.pyannote[811].end 4056.83159375
transcript.pyannote[812].speaker SPEAKER_27
transcript.pyannote[812].start 4057.05096875
transcript.pyannote[812].end 4058.09721875
transcript.pyannote[813].speaker SPEAKER_27
transcript.pyannote[813].start 4059.95346875
transcript.pyannote[813].end 4061.55659375
transcript.pyannote[814].speaker SPEAKER_27
transcript.pyannote[814].start 4062.18096875
transcript.pyannote[814].end 4063.44659375
transcript.pyannote[815].speaker SPEAKER_27
transcript.pyannote[815].start 4064.67846875
transcript.pyannote[815].end 4065.72471875
transcript.pyannote[816].speaker SPEAKER_27
transcript.pyannote[816].start 4066.61909375
transcript.pyannote[816].end 4068.66096875
transcript.pyannote[817].speaker SPEAKER_27
transcript.pyannote[817].start 4069.60596875
transcript.pyannote[817].end 4071.91784375
transcript.pyannote[818].speaker SPEAKER_10
transcript.pyannote[818].start 4071.91784375
transcript.pyannote[818].end 4073.60534375
transcript.pyannote[819].speaker SPEAKER_10
transcript.pyannote[819].start 4074.24659375
transcript.pyannote[819].end 4074.83721875
transcript.pyannote[820].speaker SPEAKER_10
transcript.pyannote[820].start 4075.10721875
transcript.pyannote[820].end 4077.46971875
transcript.pyannote[821].speaker SPEAKER_10
transcript.pyannote[821].start 4077.87471875
transcript.pyannote[821].end 4078.06034375
transcript.pyannote[822].speaker SPEAKER_27
transcript.pyannote[822].start 4078.33034375
transcript.pyannote[822].end 4080.54096875
transcript.pyannote[823].speaker SPEAKER_10
transcript.pyannote[823].start 4081.62096875
transcript.pyannote[823].end 4082.90346875
transcript.pyannote[824].speaker SPEAKER_10
transcript.pyannote[824].start 4083.52784375
transcript.pyannote[824].end 4084.50659375
transcript.pyannote[825].speaker SPEAKER_10
transcript.pyannote[825].start 4084.65846875
transcript.pyannote[825].end 4085.55284375
transcript.pyannote[826].speaker SPEAKER_10
transcript.pyannote[826].start 4085.94096875
transcript.pyannote[826].end 4086.75096875
transcript.pyannote[827].speaker SPEAKER_10
transcript.pyannote[827].start 4087.02096875
transcript.pyannote[827].end 4088.50596875
transcript.pyannote[828].speaker SPEAKER_10
transcript.pyannote[828].start 4088.74221875
transcript.pyannote[828].end 4090.10909375
transcript.pyannote[829].speaker SPEAKER_10
transcript.pyannote[829].start 4090.59846875
transcript.pyannote[829].end 4094.69909375
transcript.pyannote[830].speaker SPEAKER_10
transcript.pyannote[830].start 4094.91846875
transcript.pyannote[830].end 4095.22221875
transcript.pyannote[831].speaker SPEAKER_10
transcript.pyannote[831].start 4095.49221875
transcript.pyannote[831].end 4097.63534375
transcript.pyannote[832].speaker SPEAKER_10
transcript.pyannote[832].start 4097.87159375
transcript.pyannote[832].end 4099.74471875
transcript.pyannote[833].speaker SPEAKER_10
transcript.pyannote[833].start 4100.14971875
transcript.pyannote[833].end 4103.33909375
transcript.pyannote[834].speaker SPEAKER_10
transcript.pyannote[834].start 4103.94659375
transcript.pyannote[834].end 4104.67221875
transcript.pyannote[835].speaker SPEAKER_27
transcript.pyannote[835].start 4108.19909375
transcript.pyannote[835].end 4113.63284375
transcript.pyannote[836].speaker SPEAKER_27
transcript.pyannote[836].start 4114.78034375
transcript.pyannote[836].end 4116.75471875
transcript.pyannote[837].speaker SPEAKER_27
transcript.pyannote[837].start 4118.10471875
transcript.pyannote[837].end 4123.03221875
transcript.pyannote[838].speaker SPEAKER_10
transcript.pyannote[838].start 4123.03221875
transcript.pyannote[838].end 4123.38659375
transcript.pyannote[839].speaker SPEAKER_27
transcript.pyannote[839].start 4123.38659375
transcript.pyannote[839].end 4123.40346875
transcript.pyannote[840].speaker SPEAKER_27
transcript.pyannote[840].start 4123.97721875
transcript.pyannote[840].end 4124.01096875
transcript.pyannote[841].speaker SPEAKER_10
transcript.pyannote[841].start 4124.01096875
transcript.pyannote[841].end 4124.26409375
transcript.pyannote[842].speaker SPEAKER_27
transcript.pyannote[842].start 4124.83784375
transcript.pyannote[842].end 4124.85471875
transcript.pyannote[843].speaker SPEAKER_10
transcript.pyannote[843].start 4124.85471875
transcript.pyannote[843].end 4132.49909375
transcript.pyannote[844].speaker SPEAKER_10
transcript.pyannote[844].start 4132.61721875
transcript.pyannote[844].end 4134.40596875
transcript.pyannote[845].speaker SPEAKER_27
transcript.pyannote[845].start 4133.24159375
transcript.pyannote[845].end 4139.13096875
transcript.pyannote[846].speaker SPEAKER_27
transcript.pyannote[846].start 4139.38409375
transcript.pyannote[846].end 4141.56096875
transcript.pyannote[847].speaker SPEAKER_27
transcript.pyannote[847].start 4142.26971875
transcript.pyannote[847].end 4146.65721875
transcript.pyannote[848].speaker SPEAKER_27
transcript.pyannote[848].start 4146.92721875
transcript.pyannote[848].end 4147.83846875
transcript.pyannote[849].speaker SPEAKER_27
transcript.pyannote[849].start 4149.22221875
transcript.pyannote[849].end 4150.92659375
transcript.pyannote[850].speaker SPEAKER_36
transcript.pyannote[850].start 4149.66096875
transcript.pyannote[850].end 4151.01096875
transcript.pyannote[851].speaker SPEAKER_27
transcript.pyannote[851].start 4151.04471875
transcript.pyannote[851].end 4151.34846875
transcript.pyannote[852].speaker SPEAKER_27
transcript.pyannote[852].start 4152.10784375
transcript.pyannote[852].end 4153.57596875
transcript.pyannote[853].speaker SPEAKER_27
transcript.pyannote[853].start 4155.92159375
transcript.pyannote[853].end 4158.99284375
transcript.pyannote[854].speaker SPEAKER_27
transcript.pyannote[854].start 4159.73534375
transcript.pyannote[854].end 4161.47346875
transcript.pyannote[855].speaker SPEAKER_27
transcript.pyannote[855].start 4162.28346875
transcript.pyannote[855].end 4164.32534375
transcript.pyannote[856].speaker SPEAKER_27
transcript.pyannote[856].start 4165.87784375
transcript.pyannote[856].end 4168.34159375
transcript.pyannote[857].speaker SPEAKER_27
transcript.pyannote[857].start 4170.04596875
transcript.pyannote[857].end 4172.30721875
transcript.pyannote[858].speaker SPEAKER_27
transcript.pyannote[858].start 4172.64471875
transcript.pyannote[858].end 4174.53471875
transcript.pyannote[859].speaker SPEAKER_27
transcript.pyannote[859].start 4176.01971875
transcript.pyannote[859].end 4177.99409375
transcript.pyannote[860].speaker SPEAKER_27
transcript.pyannote[860].start 4179.29346875
transcript.pyannote[860].end 4181.80784375
transcript.pyannote[861].speaker SPEAKER_27
transcript.pyannote[861].start 4182.82034375
transcript.pyannote[861].end 4184.54159375
transcript.pyannote[862].speaker SPEAKER_27
transcript.pyannote[862].start 4185.62159375
transcript.pyannote[862].end 4190.14409375
transcript.pyannote[863].speaker SPEAKER_27
transcript.pyannote[863].start 4191.39284375
transcript.pyannote[863].end 4193.50221875
transcript.pyannote[864].speaker SPEAKER_27
transcript.pyannote[864].start 4194.51471875
transcript.pyannote[864].end 4195.17284375
transcript.pyannote[865].speaker SPEAKER_27
transcript.pyannote[865].start 4195.79721875
transcript.pyannote[865].end 4197.55221875
transcript.pyannote[866].speaker SPEAKER_27
transcript.pyannote[866].start 4197.95721875
transcript.pyannote[866].end 4198.64909375
transcript.pyannote[867].speaker SPEAKER_27
transcript.pyannote[867].start 4199.08784375
transcript.pyannote[867].end 4201.31534375
transcript.pyannote[868].speaker SPEAKER_27
transcript.pyannote[868].start 4201.93971875
transcript.pyannote[868].end 4202.63159375
transcript.pyannote[869].speaker SPEAKER_27
transcript.pyannote[869].start 4203.45846875
transcript.pyannote[869].end 4203.71159375
transcript.pyannote[870].speaker SPEAKER_27
transcript.pyannote[870].start 4204.35284375
transcript.pyannote[870].end 4204.89284375
transcript.pyannote[871].speaker SPEAKER_27
transcript.pyannote[871].start 4205.09534375
transcript.pyannote[871].end 4205.61846875
transcript.pyannote[872].speaker SPEAKER_27
transcript.pyannote[872].start 4206.25971875
transcript.pyannote[872].end 4207.55909375
transcript.pyannote[873].speaker SPEAKER_27
transcript.pyannote[873].start 4207.99784375
transcript.pyannote[873].end 4210.00596875
transcript.pyannote[874].speaker SPEAKER_27
transcript.pyannote[874].start 4210.79909375
transcript.pyannote[874].end 4212.14909375
transcript.pyannote[875].speaker SPEAKER_27
transcript.pyannote[875].start 4213.73534375
transcript.pyannote[875].end 4214.66346875
transcript.pyannote[876].speaker SPEAKER_27
transcript.pyannote[876].start 4215.57471875
transcript.pyannote[876].end 4216.26659375
transcript.pyannote[877].speaker SPEAKER_27
transcript.pyannote[877].start 4217.34659375
transcript.pyannote[877].end 4219.00034375
transcript.pyannote[878].speaker SPEAKER_27
transcript.pyannote[878].start 4220.38409375
transcript.pyannote[878].end 4224.51846875
transcript.pyannote[879].speaker SPEAKER_27
transcript.pyannote[879].start 4224.94034375
transcript.pyannote[879].end 4228.53471875
transcript.pyannote[880].speaker SPEAKER_27
transcript.pyannote[880].start 4229.95221875
transcript.pyannote[880].end 4232.07846875
transcript.pyannote[881].speaker SPEAKER_00
transcript.pyannote[881].start 4230.61034375
transcript.pyannote[881].end 4230.79596875
transcript.pyannote[882].speaker SPEAKER_27
transcript.pyannote[882].start 4232.48346875
transcript.pyannote[882].end 4235.13284375
transcript.pyannote[883].speaker SPEAKER_27
transcript.pyannote[883].start 4235.77409375
transcript.pyannote[883].end 4238.32221875
transcript.pyannote[884].speaker SPEAKER_27
transcript.pyannote[884].start 4238.54159375
transcript.pyannote[884].end 4240.16159375
transcript.pyannote[885].speaker SPEAKER_27
transcript.pyannote[885].start 4240.39784375
transcript.pyannote[885].end 4242.01784375
transcript.pyannote[886].speaker SPEAKER_27
transcript.pyannote[886].start 4242.42284375
transcript.pyannote[886].end 4244.66721875
transcript.pyannote[887].speaker SPEAKER_01
transcript.pyannote[887].start 4245.96659375
transcript.pyannote[887].end 4276.37534375
transcript.pyannote[888].speaker SPEAKER_27
transcript.pyannote[888].start 4247.19846875
transcript.pyannote[888].end 4247.97471875
transcript.pyannote[889].speaker SPEAKER_36
transcript.pyannote[889].start 4253.00346875
transcript.pyannote[889].end 4253.30721875
transcript.pyannote[890].speaker SPEAKER_27
transcript.pyannote[890].start 4276.25721875
transcript.pyannote[890].end 4277.62409375
transcript.pyannote[891].speaker SPEAKER_27
transcript.pyannote[891].start 4278.95721875
transcript.pyannote[891].end 4281.50534375
transcript.pyannote[892].speaker SPEAKER_27
transcript.pyannote[892].start 4282.18034375
transcript.pyannote[892].end 4285.23471875
transcript.pyannote[893].speaker SPEAKER_27
transcript.pyannote[893].start 4285.97721875
transcript.pyannote[893].end 4287.04034375
transcript.pyannote[894].speaker SPEAKER_27
transcript.pyannote[894].start 4287.61409375
transcript.pyannote[894].end 4288.76159375
transcript.pyannote[895].speaker SPEAKER_27
transcript.pyannote[895].start 4289.57159375
transcript.pyannote[895].end 4290.80346875
transcript.pyannote[896].speaker SPEAKER_27
transcript.pyannote[896].start 4292.17034375
transcript.pyannote[896].end 4293.33471875
transcript.pyannote[897].speaker SPEAKER_27
transcript.pyannote[897].start 4294.39784375
transcript.pyannote[897].end 4297.53659375
transcript.pyannote[898].speaker SPEAKER_27
transcript.pyannote[898].start 4298.22846875
transcript.pyannote[898].end 4300.32096875
transcript.pyannote[899].speaker SPEAKER_27
transcript.pyannote[899].start 4300.74284375
transcript.pyannote[899].end 4301.67096875
transcript.pyannote[900].speaker SPEAKER_27
transcript.pyannote[900].start 4302.41346875
transcript.pyannote[900].end 4304.18534375
transcript.pyannote[901].speaker SPEAKER_27
transcript.pyannote[901].start 4305.14721875
transcript.pyannote[901].end 4306.41284375
transcript.pyannote[902].speaker SPEAKER_27
transcript.pyannote[902].start 4307.07096875
transcript.pyannote[902].end 4307.59409375
transcript.pyannote[903].speaker SPEAKER_27
transcript.pyannote[903].start 4308.15096875
transcript.pyannote[903].end 4309.11284375
transcript.pyannote[904].speaker SPEAKER_27
transcript.pyannote[904].start 4309.50096875
transcript.pyannote[904].end 4311.54284375
transcript.pyannote[905].speaker SPEAKER_27
transcript.pyannote[905].start 4312.28534375
transcript.pyannote[905].end 4313.09534375
transcript.pyannote[906].speaker SPEAKER_27
transcript.pyannote[906].start 4313.68596875
transcript.pyannote[906].end 4316.75721875
transcript.pyannote[907].speaker SPEAKER_27
transcript.pyannote[907].start 4317.22971875
transcript.pyannote[907].end 4318.86659375
transcript.pyannote[908].speaker SPEAKER_27
transcript.pyannote[908].start 4319.20409375
transcript.pyannote[908].end 4320.23346875
transcript.pyannote[909].speaker SPEAKER_27
transcript.pyannote[909].start 4320.82409375
transcript.pyannote[909].end 4323.87846875
transcript.pyannote[910].speaker SPEAKER_10
transcript.pyannote[910].start 4324.38471875
transcript.pyannote[910].end 4325.27909375
transcript.pyannote[911].speaker SPEAKER_10
transcript.pyannote[911].start 4326.67971875
transcript.pyannote[911].end 4334.12159375
transcript.pyannote[912].speaker SPEAKER_27
transcript.pyannote[912].start 4330.08846875
transcript.pyannote[912].end 4336.11284375
transcript.pyannote[913].speaker SPEAKER_10
transcript.pyannote[913].start 4335.57284375
transcript.pyannote[913].end 4342.32284375
transcript.pyannote[914].speaker SPEAKER_10
transcript.pyannote[914].start 4342.76159375
transcript.pyannote[914].end 4345.88346875
transcript.pyannote[915].speaker SPEAKER_10
transcript.pyannote[915].start 4346.40659375
transcript.pyannote[915].end 4348.02659375
transcript.pyannote[916].speaker SPEAKER_10
transcript.pyannote[916].start 4348.29659375
transcript.pyannote[916].end 4350.27096875
transcript.pyannote[917].speaker SPEAKER_10
transcript.pyannote[917].start 4350.49034375
transcript.pyannote[917].end 4351.65471875
transcript.pyannote[918].speaker SPEAKER_10
transcript.pyannote[918].start 4352.19471875
transcript.pyannote[918].end 4353.54471875
transcript.pyannote[919].speaker SPEAKER_10
transcript.pyannote[919].start 4353.71346875
transcript.pyannote[919].end 4354.84409375
transcript.pyannote[920].speaker SPEAKER_10
transcript.pyannote[920].start 4354.94534375
transcript.pyannote[920].end 4361.81346875
transcript.pyannote[921].speaker SPEAKER_27
transcript.pyannote[921].start 4359.21471875
transcript.pyannote[921].end 4361.66159375
transcript.pyannote[922].speaker SPEAKER_27
transcript.pyannote[922].start 4361.98221875
transcript.pyannote[922].end 4363.82159375
transcript.pyannote[923].speaker SPEAKER_27
transcript.pyannote[923].start 4364.14221875
transcript.pyannote[923].end 4364.42909375
transcript.pyannote[924].speaker SPEAKER_27
transcript.pyannote[924].start 4365.00284375
transcript.pyannote[924].end 4366.90971875
transcript.pyannote[925].speaker SPEAKER_27
transcript.pyannote[925].start 4367.87159375
transcript.pyannote[925].end 4370.55471875
transcript.pyannote[926].speaker SPEAKER_27
transcript.pyannote[926].start 4371.44909375
transcript.pyannote[926].end 4372.52909375
transcript.pyannote[927].speaker SPEAKER_27
transcript.pyannote[927].start 4373.01846875
transcript.pyannote[927].end 4374.03096875
transcript.pyannote[928].speaker SPEAKER_27
transcript.pyannote[928].start 4375.63409375
transcript.pyannote[928].end 4377.11909375
transcript.pyannote[929].speaker SPEAKER_27
transcript.pyannote[929].start 4378.89096875
transcript.pyannote[929].end 4381.45596875
transcript.pyannote[930].speaker SPEAKER_27
transcript.pyannote[930].start 4382.67096875
transcript.pyannote[930].end 4384.13909375
transcript.pyannote[931].speaker SPEAKER_27
transcript.pyannote[931].start 4384.69596875
transcript.pyannote[931].end 4386.33284375
transcript.pyannote[932].speaker SPEAKER_27
transcript.pyannote[932].start 4387.71659375
transcript.pyannote[932].end 4388.20596875
transcript.pyannote[933].speaker SPEAKER_27
transcript.pyannote[933].start 4388.71221875
transcript.pyannote[933].end 4389.91034375
transcript.pyannote[934].speaker SPEAKER_27
transcript.pyannote[934].start 4391.12534375
transcript.pyannote[934].end 4393.28534375
transcript.pyannote[935].speaker SPEAKER_27
transcript.pyannote[935].start 4394.43284375
transcript.pyannote[935].end 4395.29346875
transcript.pyannote[936].speaker SPEAKER_27
transcript.pyannote[936].start 4395.64784375
transcript.pyannote[936].end 4397.01471875
transcript.pyannote[937].speaker SPEAKER_27
transcript.pyannote[937].start 4397.25096875
transcript.pyannote[937].end 4398.07784375
transcript.pyannote[938].speaker SPEAKER_27
transcript.pyannote[938].start 4398.70221875
transcript.pyannote[938].end 4400.52471875
transcript.pyannote[939].speaker SPEAKER_10
transcript.pyannote[939].start 4401.19971875
transcript.pyannote[939].end 4407.59534375
transcript.pyannote[940].speaker SPEAKER_27
transcript.pyannote[940].start 4403.88284375
transcript.pyannote[940].end 4404.15284375
transcript.pyannote[941].speaker SPEAKER_27
transcript.pyannote[941].start 4405.75596875
transcript.pyannote[941].end 4408.28721875
transcript.pyannote[942].speaker SPEAKER_27
transcript.pyannote[942].start 4409.33346875
transcript.pyannote[942].end 4410.39659375
transcript.pyannote[943].speaker SPEAKER_27
transcript.pyannote[943].start 4410.93659375
transcript.pyannote[943].end 4413.68721875
transcript.pyannote[944].speaker SPEAKER_27
transcript.pyannote[944].start 4414.61534375
transcript.pyannote[944].end 4417.60221875
transcript.pyannote[945].speaker SPEAKER_27
transcript.pyannote[945].start 4418.10846875
transcript.pyannote[945].end 4418.37846875
transcript.pyannote[946].speaker SPEAKER_27
transcript.pyannote[946].start 4419.01971875
transcript.pyannote[946].end 4420.20096875
transcript.pyannote[947].speaker SPEAKER_27
transcript.pyannote[947].start 4420.65659375
transcript.pyannote[947].end 4422.47909375
transcript.pyannote[948].speaker SPEAKER_27
transcript.pyannote[948].start 4422.91784375
transcript.pyannote[948].end 4424.55471875
transcript.pyannote[949].speaker SPEAKER_27
transcript.pyannote[949].start 4425.36471875
transcript.pyannote[949].end 4426.46159375
transcript.pyannote[950].speaker SPEAKER_27
transcript.pyannote[950].start 4427.50784375
transcript.pyannote[950].end 4428.48659375
transcript.pyannote[951].speaker SPEAKER_27
transcript.pyannote[951].start 4429.56659375
transcript.pyannote[951].end 4431.84471875
transcript.pyannote[952].speaker SPEAKER_27
transcript.pyannote[952].start 4432.50284375
transcript.pyannote[952].end 4433.32971875
transcript.pyannote[953].speaker SPEAKER_27
transcript.pyannote[953].start 4433.53221875
transcript.pyannote[953].end 4436.18159375
transcript.pyannote[954].speaker SPEAKER_27
transcript.pyannote[954].start 4436.77221875
transcript.pyannote[954].end 4438.22346875
transcript.pyannote[955].speaker SPEAKER_27
transcript.pyannote[955].start 4438.84784375
transcript.pyannote[955].end 4441.21034375
transcript.pyannote[956].speaker SPEAKER_27
transcript.pyannote[956].start 4441.75034375
transcript.pyannote[956].end 4441.98659375
transcript.pyannote[957].speaker SPEAKER_27
transcript.pyannote[957].start 4442.64471875
transcript.pyannote[957].end 4443.42096875
transcript.pyannote[958].speaker SPEAKER_27
transcript.pyannote[958].start 4443.75846875
transcript.pyannote[958].end 4444.55159375
transcript.pyannote[959].speaker SPEAKER_27
transcript.pyannote[959].start 4446.76221875
transcript.pyannote[959].end 4448.55096875
transcript.pyannote[960].speaker SPEAKER_27
transcript.pyannote[960].start 4449.20909375
transcript.pyannote[960].end 4449.51284375
transcript.pyannote[961].speaker SPEAKER_27
transcript.pyannote[961].start 4449.79971875
transcript.pyannote[961].end 4451.01471875
transcript.pyannote[962].speaker SPEAKER_27
transcript.pyannote[962].start 4451.38596875
transcript.pyannote[962].end 4453.34346875
transcript.pyannote[963].speaker SPEAKER_27
transcript.pyannote[963].start 4453.78221875
transcript.pyannote[963].end 4456.16159375
transcript.pyannote[964].speaker SPEAKER_27
transcript.pyannote[964].start 4456.56659375
transcript.pyannote[964].end 4456.97159375
transcript.pyannote[965].speaker SPEAKER_27
transcript.pyannote[965].start 4458.40596875
transcript.pyannote[965].end 4460.04284375
transcript.pyannote[966].speaker SPEAKER_27
transcript.pyannote[966].start 4460.34659375
transcript.pyannote[966].end 4460.65034375
transcript.pyannote[967].speaker SPEAKER_27
transcript.pyannote[967].start 4461.02159375
transcript.pyannote[967].end 4463.06346875
transcript.pyannote[968].speaker SPEAKER_13
transcript.pyannote[968].start 4463.31659375
transcript.pyannote[968].end 4463.83971875
transcript.pyannote[969].speaker SPEAKER_27
transcript.pyannote[969].start 4463.83971875
transcript.pyannote[969].end 4463.87346875
transcript.pyannote[970].speaker SPEAKER_13
transcript.pyannote[970].start 4463.87346875
transcript.pyannote[970].end 4463.89034375
transcript.pyannote[971].speaker SPEAKER_27
transcript.pyannote[971].start 4463.89034375
transcript.pyannote[971].end 4463.90721875
transcript.pyannote[972].speaker SPEAKER_27
transcript.pyannote[972].start 4464.24471875
transcript.pyannote[972].end 4466.79284375
transcript.pyannote[973].speaker SPEAKER_27
transcript.pyannote[973].start 4467.46784375
transcript.pyannote[973].end 4468.39596875
transcript.pyannote[974].speaker SPEAKER_27
transcript.pyannote[974].start 4468.69971875
transcript.pyannote[974].end 4471.29846875
transcript.pyannote[975].speaker SPEAKER_27
transcript.pyannote[975].start 4471.60221875
transcript.pyannote[975].end 4472.86784375
transcript.pyannote[976].speaker SPEAKER_27
transcript.pyannote[976].start 4473.35721875
transcript.pyannote[976].end 4474.77471875
transcript.pyannote[977].speaker SPEAKER_27
transcript.pyannote[977].start 4476.51284375
transcript.pyannote[977].end 4477.94721875
transcript.pyannote[978].speaker SPEAKER_27
transcript.pyannote[978].start 4478.92596875
transcript.pyannote[978].end 4480.27596875
transcript.pyannote[979].speaker SPEAKER_27
transcript.pyannote[979].start 4481.25471875
transcript.pyannote[979].end 4481.27159375
transcript.pyannote[980].speaker SPEAKER_10
transcript.pyannote[980].start 4481.27159375
transcript.pyannote[980].end 4482.84096875
transcript.pyannote[981].speaker SPEAKER_10
transcript.pyannote[981].start 4483.53284375
transcript.pyannote[981].end 4485.84471875
transcript.pyannote[982].speaker SPEAKER_10
transcript.pyannote[982].start 4486.21596875
transcript.pyannote[982].end 4487.44784375
transcript.pyannote[983].speaker SPEAKER_10
transcript.pyannote[983].start 4487.95409375
transcript.pyannote[983].end 4489.72596875
transcript.pyannote[984].speaker SPEAKER_10
transcript.pyannote[984].start 4490.04659375
transcript.pyannote[984].end 4492.02096875
transcript.pyannote[985].speaker SPEAKER_10
transcript.pyannote[985].start 4492.39221875
transcript.pyannote[985].end 4493.53971875
transcript.pyannote[986].speaker SPEAKER_10
transcript.pyannote[986].start 4493.65784375
transcript.pyannote[986].end 4496.84721875
transcript.pyannote[987].speaker SPEAKER_10
transcript.pyannote[987].start 4497.01596875
transcript.pyannote[987].end 4499.26034375
transcript.pyannote[988].speaker SPEAKER_27
transcript.pyannote[988].start 4498.09596875
transcript.pyannote[988].end 4498.77096875
transcript.pyannote[989].speaker SPEAKER_27
transcript.pyannote[989].start 4499.09159375
transcript.pyannote[989].end 4499.78346875
transcript.pyannote[990].speaker SPEAKER_10
transcript.pyannote[990].start 4499.54721875
transcript.pyannote[990].end 4501.72409375
transcript.pyannote[991].speaker SPEAKER_27
transcript.pyannote[991].start 4502.16284375
transcript.pyannote[991].end 4502.88846875
transcript.pyannote[992].speaker SPEAKER_27
transcript.pyannote[992].start 4503.85034375
transcript.pyannote[992].end 4505.53784375
transcript.pyannote[993].speaker SPEAKER_27
transcript.pyannote[993].start 4505.90909375
transcript.pyannote[993].end 4509.04784375
transcript.pyannote[994].speaker SPEAKER_27
transcript.pyannote[994].start 4510.12784375
transcript.pyannote[994].end 4510.80284375
transcript.pyannote[995].speaker SPEAKER_27
transcript.pyannote[995].start 4511.29221875
transcript.pyannote[995].end 4513.51971875
transcript.pyannote[996].speaker SPEAKER_27
transcript.pyannote[996].start 4515.19034375
transcript.pyannote[996].end 4516.72596875
transcript.pyannote[997].speaker SPEAKER_27
transcript.pyannote[997].start 4517.35034375
transcript.pyannote[997].end 4518.21096875
transcript.pyannote[998].speaker SPEAKER_27
transcript.pyannote[998].start 4518.81846875
transcript.pyannote[998].end 4525.02846875
transcript.pyannote[999].speaker SPEAKER_27
transcript.pyannote[999].start 4525.68659375
transcript.pyannote[999].end 4527.82971875
transcript.pyannote[1000].speaker SPEAKER_27
transcript.pyannote[1000].start 4528.45409375
transcript.pyannote[1000].end 4530.09096875
transcript.pyannote[1001].speaker SPEAKER_27
transcript.pyannote[1001].start 4531.01909375
transcript.pyannote[1001].end 4531.82909375
transcript.pyannote[1002].speaker SPEAKER_27
transcript.pyannote[1002].start 4532.41971875
transcript.pyannote[1002].end 4535.30534375
transcript.pyannote[1003].speaker SPEAKER_27
transcript.pyannote[1003].start 4535.69346875
transcript.pyannote[1003].end 4537.98846875
transcript.pyannote[1004].speaker SPEAKER_27
transcript.pyannote[1004].start 4538.44409375
transcript.pyannote[1004].end 4540.08096875
transcript.pyannote[1005].speaker SPEAKER_27
transcript.pyannote[1005].start 4541.05971875
transcript.pyannote[1005].end 4541.31284375
transcript.pyannote[1006].speaker SPEAKER_27
transcript.pyannote[1006].start 4541.97096875
transcript.pyannote[1006].end 4542.44346875
transcript.pyannote[1007].speaker SPEAKER_27
transcript.pyannote[1007].start 4543.10159375
transcript.pyannote[1007].end 4544.75534375
transcript.pyannote[1008].speaker SPEAKER_27
transcript.pyannote[1008].start 4544.94096875
transcript.pyannote[1008].end 4548.31596875
transcript.pyannote[1009].speaker SPEAKER_09
transcript.pyannote[1009].start 4547.69159375
transcript.pyannote[1009].end 4548.06284375
transcript.pyannote[1010].speaker SPEAKER_27
transcript.pyannote[1010].start 4549.10909375
transcript.pyannote[1010].end 4552.02846875
transcript.pyannote[1011].speaker SPEAKER_27
transcript.pyannote[1011].start 4552.23096875
transcript.pyannote[1011].end 4553.20971875
transcript.pyannote[1012].speaker SPEAKER_27
transcript.pyannote[1012].start 4554.01971875
transcript.pyannote[1012].end 4554.55971875
transcript.pyannote[1013].speaker SPEAKER_27
transcript.pyannote[1013].start 4555.31909375
transcript.pyannote[1013].end 4556.48346875
transcript.pyannote[1014].speaker SPEAKER_27
transcript.pyannote[1014].start 4556.73659375
transcript.pyannote[1014].end 4560.41534375
transcript.pyannote[1015].speaker SPEAKER_10
transcript.pyannote[1015].start 4558.33971875
transcript.pyannote[1015].end 4559.03159375
transcript.pyannote[1016].speaker SPEAKER_27
transcript.pyannote[1016].start 4560.68534375
transcript.pyannote[1016].end 4564.14471875
transcript.pyannote[1017].speaker SPEAKER_27
transcript.pyannote[1017].start 4564.19534375
transcript.pyannote[1017].end 4565.61284375
transcript.pyannote[1018].speaker SPEAKER_27
transcript.pyannote[1018].start 4566.22034375
transcript.pyannote[1018].end 4568.00909375
transcript.pyannote[1019].speaker SPEAKER_27
transcript.pyannote[1019].start 4568.93721875
transcript.pyannote[1019].end 4569.47721875
transcript.pyannote[1020].speaker SPEAKER_27
transcript.pyannote[1020].start 4571.92409375
transcript.pyannote[1020].end 4573.42596875
transcript.pyannote[1021].speaker SPEAKER_27
transcript.pyannote[1021].start 4574.01659375
transcript.pyannote[1021].end 4575.56909375
transcript.pyannote[1022].speaker SPEAKER_27
transcript.pyannote[1022].start 4576.53096875
transcript.pyannote[1022].end 4578.91034375
transcript.pyannote[1023].speaker SPEAKER_27
transcript.pyannote[1023].start 4579.93971875
transcript.pyannote[1023].end 4581.22221875
transcript.pyannote[1024].speaker SPEAKER_27
transcript.pyannote[1024].start 4582.09971875
transcript.pyannote[1024].end 4584.39471875
transcript.pyannote[1025].speaker SPEAKER_27
transcript.pyannote[1025].start 4585.98096875
transcript.pyannote[1025].end 4587.22971875
transcript.pyannote[1026].speaker SPEAKER_27
transcript.pyannote[1026].start 4588.07346875
transcript.pyannote[1026].end 4589.40659375
transcript.pyannote[1027].speaker SPEAKER_27
transcript.pyannote[1027].start 4591.27971875
transcript.pyannote[1027].end 4592.44409375
transcript.pyannote[1028].speaker SPEAKER_27
transcript.pyannote[1028].start 4593.27096875
transcript.pyannote[1028].end 4594.33409375
transcript.pyannote[1029].speaker SPEAKER_27
transcript.pyannote[1029].start 4595.07659375
transcript.pyannote[1029].end 4596.78096875
transcript.pyannote[1030].speaker SPEAKER_27
transcript.pyannote[1030].start 4596.98346875
transcript.pyannote[1030].end 4598.29971875
transcript.pyannote[1031].speaker SPEAKER_27
transcript.pyannote[1031].start 4598.78909375
transcript.pyannote[1031].end 4601.74221875
transcript.pyannote[1032].speaker SPEAKER_27
transcript.pyannote[1032].start 4602.36659375
transcript.pyannote[1032].end 4605.55596875
transcript.pyannote[1033].speaker SPEAKER_27
transcript.pyannote[1033].start 4606.12971875
transcript.pyannote[1033].end 4606.72034375
transcript.pyannote[1034].speaker SPEAKER_27
transcript.pyannote[1034].start 4607.27721875
transcript.pyannote[1034].end 4609.84221875
transcript.pyannote[1035].speaker SPEAKER_10
transcript.pyannote[1035].start 4609.36971875
transcript.pyannote[1035].end 4610.23034375
transcript.pyannote[1036].speaker SPEAKER_10
transcript.pyannote[1036].start 4610.77034375
transcript.pyannote[1036].end 4611.14159375
transcript.pyannote[1037].speaker SPEAKER_10
transcript.pyannote[1037].start 4611.73221875
transcript.pyannote[1037].end 4615.25909375
transcript.pyannote[1038].speaker SPEAKER_10
transcript.pyannote[1038].start 4615.47846875
transcript.pyannote[1038].end 4619.51159375
transcript.pyannote[1039].speaker SPEAKER_10
transcript.pyannote[1039].start 4619.88284375
transcript.pyannote[1039].end 4622.97096875
transcript.pyannote[1040].speaker SPEAKER_27
transcript.pyannote[1040].start 4620.06846875
transcript.pyannote[1040].end 4622.29596875
transcript.pyannote[1041].speaker SPEAKER_27
transcript.pyannote[1041].start 4622.97096875
transcript.pyannote[1041].end 4623.74721875
transcript.pyannote[1042].speaker SPEAKER_27
transcript.pyannote[1042].start 4624.20284375
transcript.pyannote[1042].end 4626.26159375
transcript.pyannote[1043].speaker SPEAKER_10
transcript.pyannote[1043].start 4624.65846875
transcript.pyannote[1043].end 4625.95784375
transcript.pyannote[1044].speaker SPEAKER_27
transcript.pyannote[1044].start 4626.85221875
transcript.pyannote[1044].end 4627.78034375
transcript.pyannote[1045].speaker SPEAKER_27
transcript.pyannote[1045].start 4628.38784375
transcript.pyannote[1045].end 4628.57346875
transcript.pyannote[1046].speaker SPEAKER_27
transcript.pyannote[1046].start 4629.48471875
transcript.pyannote[1046].end 4632.84284375
transcript.pyannote[1047].speaker SPEAKER_27
transcript.pyannote[1047].start 4633.29846875
transcript.pyannote[1047].end 4633.90596875
transcript.pyannote[1048].speaker SPEAKER_27
transcript.pyannote[1048].start 4634.63159375
transcript.pyannote[1048].end 4636.58909375
transcript.pyannote[1049].speaker SPEAKER_27
transcript.pyannote[1049].start 4636.82534375
transcript.pyannote[1049].end 4638.07409375
transcript.pyannote[1050].speaker SPEAKER_27
transcript.pyannote[1050].start 4638.25971875
transcript.pyannote[1050].end 4640.01471875
transcript.pyannote[1051].speaker SPEAKER_27
transcript.pyannote[1051].start 4640.50409375
transcript.pyannote[1051].end 4642.39409375
transcript.pyannote[1052].speaker SPEAKER_27
transcript.pyannote[1052].start 4643.18721875
transcript.pyannote[1052].end 4644.33471875
transcript.pyannote[1053].speaker SPEAKER_27
transcript.pyannote[1053].start 4645.53284375
transcript.pyannote[1053].end 4647.47346875
transcript.pyannote[1054].speaker SPEAKER_27
transcript.pyannote[1054].start 4648.87409375
transcript.pyannote[1054].end 4649.49846875
transcript.pyannote[1055].speaker SPEAKER_27
transcript.pyannote[1055].start 4650.30846875
transcript.pyannote[1055].end 4651.84409375
transcript.pyannote[1056].speaker SPEAKER_27
transcript.pyannote[1056].start 4652.83971875
transcript.pyannote[1056].end 4654.07159375
transcript.pyannote[1057].speaker SPEAKER_27
transcript.pyannote[1057].start 4655.30346875
transcript.pyannote[1057].end 4655.86034375
transcript.pyannote[1058].speaker SPEAKER_27
transcript.pyannote[1058].start 4656.11346875
transcript.pyannote[1058].end 4656.88971875
transcript.pyannote[1059].speaker SPEAKER_27
transcript.pyannote[1059].start 4657.42971875
transcript.pyannote[1059].end 4658.52659375
transcript.pyannote[1060].speaker SPEAKER_27
transcript.pyannote[1060].start 4658.86409375
transcript.pyannote[1060].end 4659.45471875
transcript.pyannote[1061].speaker SPEAKER_27
transcript.pyannote[1061].start 4659.79221875
transcript.pyannote[1061].end 4660.88909375
transcript.pyannote[1062].speaker SPEAKER_27
transcript.pyannote[1062].start 4661.22659375
transcript.pyannote[1062].end 4663.67346875
transcript.pyannote[1063].speaker SPEAKER_27
transcript.pyannote[1063].start 4664.26409375
transcript.pyannote[1063].end 4664.95596875
transcript.pyannote[1064].speaker SPEAKER_27
transcript.pyannote[1064].start 4665.19221875
transcript.pyannote[1064].end 4665.95159375
transcript.pyannote[1065].speaker SPEAKER_27
transcript.pyannote[1065].start 4666.84596875
transcript.pyannote[1065].end 4668.22971875
transcript.pyannote[1066].speaker SPEAKER_27
transcript.pyannote[1066].start 4668.26346875
transcript.pyannote[1066].end 4670.60909375
transcript.pyannote[1067].speaker SPEAKER_27
transcript.pyannote[1067].start 4671.18284375
transcript.pyannote[1067].end 4672.48221875
transcript.pyannote[1068].speaker SPEAKER_27
transcript.pyannote[1068].start 4673.30909375
transcript.pyannote[1068].end 4674.28784375
transcript.pyannote[1069].speaker SPEAKER_27
transcript.pyannote[1069].start 4675.23284375
transcript.pyannote[1069].end 4676.63346875
transcript.pyannote[1070].speaker SPEAKER_27
transcript.pyannote[1070].start 4676.95409375
transcript.pyannote[1070].end 4677.46034375
transcript.pyannote[1071].speaker SPEAKER_27
transcript.pyannote[1071].start 4677.93284375
transcript.pyannote[1071].end 4679.08034375
transcript.pyannote[1072].speaker SPEAKER_27
transcript.pyannote[1072].start 4679.97471875
transcript.pyannote[1072].end 4683.16409375
transcript.pyannote[1073].speaker SPEAKER_27
transcript.pyannote[1073].start 4684.34534375
transcript.pyannote[1073].end 4690.03221875
transcript.pyannote[1074].speaker SPEAKER_27
transcript.pyannote[1074].start 4690.15034375
transcript.pyannote[1074].end 4691.09534375
transcript.pyannote[1075].speaker SPEAKER_27
transcript.pyannote[1075].start 4691.46659375
transcript.pyannote[1075].end 4694.65596875
transcript.pyannote[1076].speaker SPEAKER_27
transcript.pyannote[1076].start 4694.77409375
transcript.pyannote[1076].end 4695.09471875
transcript.pyannote[1077].speaker SPEAKER_27
transcript.pyannote[1077].start 4695.39846875
transcript.pyannote[1077].end 4696.09034375
transcript.pyannote[1078].speaker SPEAKER_27
transcript.pyannote[1078].start 4696.52909375
transcript.pyannote[1078].end 4696.78221875
transcript.pyannote[1079].speaker SPEAKER_27
transcript.pyannote[1079].start 4697.03534375
transcript.pyannote[1079].end 4699.66784375
transcript.pyannote[1080].speaker SPEAKER_27
transcript.pyannote[1080].start 4699.97159375
transcript.pyannote[1080].end 4701.60846875
transcript.pyannote[1081].speaker SPEAKER_27
transcript.pyannote[1081].start 4702.24971875
transcript.pyannote[1081].end 4704.49409375
transcript.pyannote[1082].speaker SPEAKER_27
transcript.pyannote[1082].start 4705.77659375
transcript.pyannote[1082].end 4707.49784375
transcript.pyannote[1083].speaker SPEAKER_27
transcript.pyannote[1083].start 4708.49346875
transcript.pyannote[1083].end 4709.96159375
transcript.pyannote[1084].speaker SPEAKER_27
transcript.pyannote[1084].start 4709.97846875
transcript.pyannote[1084].end 4712.39159375
transcript.pyannote[1085].speaker SPEAKER_27
transcript.pyannote[1085].start 4712.89784375
transcript.pyannote[1085].end 4714.09596875
transcript.pyannote[1086].speaker SPEAKER_27
transcript.pyannote[1086].start 4714.46721875
transcript.pyannote[1086].end 4717.31909375
transcript.pyannote[1087].speaker SPEAKER_36
transcript.pyannote[1087].start 4717.31909375
transcript.pyannote[1087].end 4717.36971875
transcript.pyannote[1088].speaker SPEAKER_27
transcript.pyannote[1088].start 4717.36971875
transcript.pyannote[1088].end 4717.38659375
transcript.pyannote[1089].speaker SPEAKER_27
transcript.pyannote[1089].start 4717.99409375
transcript.pyannote[1089].end 4718.71971875
transcript.pyannote[1090].speaker SPEAKER_27
transcript.pyannote[1090].start 4718.97284375
transcript.pyannote[1090].end 4720.57596875
transcript.pyannote[1091].speaker SPEAKER_27
transcript.pyannote[1091].start 4721.18346875
transcript.pyannote[1091].end 4723.15784375
transcript.pyannote[1092].speaker SPEAKER_27
transcript.pyannote[1092].start 4724.32221875
transcript.pyannote[1092].end 4725.09846875
transcript.pyannote[1093].speaker SPEAKER_27
transcript.pyannote[1093].start 4725.82409375
transcript.pyannote[1093].end 4729.75596875
transcript.pyannote[1094].speaker SPEAKER_27
transcript.pyannote[1094].start 4730.04284375
transcript.pyannote[1094].end 4731.47721875
transcript.pyannote[1095].speaker SPEAKER_27
transcript.pyannote[1095].start 4732.25346875
transcript.pyannote[1095].end 4733.01284375
transcript.pyannote[1096].speaker SPEAKER_27
transcript.pyannote[1096].start 4733.75534375
transcript.pyannote[1096].end 4733.92409375
transcript.pyannote[1097].speaker SPEAKER_27
transcript.pyannote[1097].start 4734.37971875
transcript.pyannote[1097].end 4736.08409375
transcript.pyannote[1098].speaker SPEAKER_27
transcript.pyannote[1098].start 4736.38784375
transcript.pyannote[1098].end 4737.70409375
transcript.pyannote[1099].speaker SPEAKER_27
transcript.pyannote[1099].start 4738.49721875
transcript.pyannote[1099].end 4741.12971875
transcript.pyannote[1100].speaker SPEAKER_27
transcript.pyannote[1100].start 4742.02409375
transcript.pyannote[1100].end 4747.22159375
transcript.pyannote[1101].speaker SPEAKER_27
transcript.pyannote[1101].start 4747.59284375
transcript.pyannote[1101].end 4749.31409375
transcript.pyannote[1102].speaker SPEAKER_27
transcript.pyannote[1102].start 4749.83721875
transcript.pyannote[1102].end 4751.08596875
transcript.pyannote[1103].speaker SPEAKER_27
transcript.pyannote[1103].start 4751.77784375
transcript.pyannote[1103].end 4752.48659375
transcript.pyannote[1104].speaker SPEAKER_27
transcript.pyannote[1104].start 4752.62159375
transcript.pyannote[1104].end 4753.90409375
transcript.pyannote[1105].speaker SPEAKER_27
transcript.pyannote[1105].start 4754.24159375
transcript.pyannote[1105].end 4754.96721875
transcript.pyannote[1106].speaker SPEAKER_27
transcript.pyannote[1106].start 4755.43971875
transcript.pyannote[1106].end 4755.64221875
transcript.pyannote[1107].speaker SPEAKER_27
transcript.pyannote[1107].start 4756.08096875
transcript.pyannote[1107].end 4758.13971875
transcript.pyannote[1108].speaker SPEAKER_27
transcript.pyannote[1108].start 4758.91596875
transcript.pyannote[1108].end 4760.77221875
transcript.pyannote[1109].speaker SPEAKER_27
transcript.pyannote[1109].start 4762.22346875
transcript.pyannote[1109].end 4764.11346875
transcript.pyannote[1110].speaker SPEAKER_27
transcript.pyannote[1110].start 4765.37909375
transcript.pyannote[1110].end 4766.44221875
transcript.pyannote[1111].speaker SPEAKER_27
transcript.pyannote[1111].start 4766.91471875
transcript.pyannote[1111].end 4767.82596875
transcript.pyannote[1112].speaker SPEAKER_27
transcript.pyannote[1112].start 4768.43346875
transcript.pyannote[1112].end 4768.66971875
transcript.pyannote[1113].speaker SPEAKER_27
transcript.pyannote[1113].start 4769.00721875
transcript.pyannote[1113].end 4771.85909375
transcript.pyannote[1114].speaker SPEAKER_27
transcript.pyannote[1114].start 4772.33159375
transcript.pyannote[1114].end 4774.69409375
transcript.pyannote[1115].speaker SPEAKER_27
transcript.pyannote[1115].start 4775.65596875
transcript.pyannote[1115].end 4778.84534375
transcript.pyannote[1116].speaker SPEAKER_27
transcript.pyannote[1116].start 4779.31784375
transcript.pyannote[1116].end 4780.43159375
transcript.pyannote[1117].speaker SPEAKER_27
transcript.pyannote[1117].start 4780.60034375
transcript.pyannote[1117].end 4782.05159375
transcript.pyannote[1118].speaker SPEAKER_27
transcript.pyannote[1118].start 4782.25409375
transcript.pyannote[1118].end 4784.00909375
transcript.pyannote[1119].speaker SPEAKER_27
transcript.pyannote[1119].start 4784.29596875
transcript.pyannote[1119].end 4785.67971875
transcript.pyannote[1120].speaker SPEAKER_27
transcript.pyannote[1120].start 4785.89909375
transcript.pyannote[1120].end 4788.75096875
transcript.pyannote[1121].speaker SPEAKER_27
transcript.pyannote[1121].start 4788.76784375
transcript.pyannote[1121].end 4789.88159375
transcript.pyannote[1122].speaker SPEAKER_37
transcript.pyannote[1122].start 4791.23159375
transcript.pyannote[1122].end 4795.41659375
transcript.pyannote[1123].speaker SPEAKER_37
transcript.pyannote[1123].start 4799.51721875
transcript.pyannote[1123].end 4804.54596875
transcript.pyannote[1124].speaker SPEAKER_22
transcript.pyannote[1124].start 4828.60971875
transcript.pyannote[1124].end 4830.24659375
transcript.pyannote[1125].speaker SPEAKER_22
transcript.pyannote[1125].start 4831.05659375
transcript.pyannote[1125].end 4833.53721875
transcript.pyannote[1126].speaker SPEAKER_37
transcript.pyannote[1126].start 4833.82409375
transcript.pyannote[1126].end 4835.30909375
transcript.pyannote[1127].speaker SPEAKER_22
transcript.pyannote[1127].start 4845.41721875
transcript.pyannote[1127].end 4847.03721875
transcript.pyannote[1128].speaker SPEAKER_22
transcript.pyannote[1128].start 4848.42096875
transcript.pyannote[1128].end 4849.99034375
transcript.pyannote[1129].speaker SPEAKER_22
transcript.pyannote[1129].start 4850.69909375
transcript.pyannote[1129].end 4852.13346875
transcript.pyannote[1130].speaker SPEAKER_22
transcript.pyannote[1130].start 4852.55534375
transcript.pyannote[1130].end 4853.53409375
transcript.pyannote[1131].speaker SPEAKER_22
transcript.pyannote[1131].start 4854.10784375
transcript.pyannote[1131].end 4855.28909375
transcript.pyannote[1132].speaker SPEAKER_22
transcript.pyannote[1132].start 4855.93034375
transcript.pyannote[1132].end 4856.62221875
transcript.pyannote[1133].speaker SPEAKER_22
transcript.pyannote[1133].start 4856.74034375
transcript.pyannote[1133].end 4860.97596875
transcript.pyannote[1134].speaker SPEAKER_22
transcript.pyannote[1134].start 4862.54534375
transcript.pyannote[1134].end 4863.13596875
transcript.pyannote[1135].speaker SPEAKER_22
transcript.pyannote[1135].start 4864.01346875
transcript.pyannote[1135].end 4867.45596875
transcript.pyannote[1136].speaker SPEAKER_22
transcript.pyannote[1136].start 4868.67096875
transcript.pyannote[1136].end 4869.49784375
transcript.pyannote[1137].speaker SPEAKER_22
transcript.pyannote[1137].start 4870.44284375
transcript.pyannote[1137].end 4872.26534375
transcript.pyannote[1138].speaker SPEAKER_22
transcript.pyannote[1138].start 4872.97409375
transcript.pyannote[1138].end 4874.42534375
transcript.pyannote[1139].speaker SPEAKER_22
transcript.pyannote[1139].start 4875.04971875
transcript.pyannote[1139].end 4875.53909375
transcript.pyannote[1140].speaker SPEAKER_22
transcript.pyannote[1140].start 4875.75846875
transcript.pyannote[1140].end 4878.25596875
transcript.pyannote[1141].speaker SPEAKER_22
transcript.pyannote[1141].start 4878.76221875
transcript.pyannote[1141].end 4879.47096875
transcript.pyannote[1142].speaker SPEAKER_22
transcript.pyannote[1142].start 4879.79159375
transcript.pyannote[1142].end 4882.15409375
transcript.pyannote[1143].speaker SPEAKER_22
transcript.pyannote[1143].start 4882.66034375
transcript.pyannote[1143].end 4884.02721875
transcript.pyannote[1144].speaker SPEAKER_22
transcript.pyannote[1144].start 4884.53346875
transcript.pyannote[1144].end 4893.19034375
transcript.pyannote[1145].speaker SPEAKER_22
transcript.pyannote[1145].start 4893.46034375
transcript.pyannote[1145].end 4894.82721875
transcript.pyannote[1146].speaker SPEAKER_22
transcript.pyannote[1146].start 4895.26596875
transcript.pyannote[1146].end 4897.05471875
transcript.pyannote[1147].speaker SPEAKER_22
transcript.pyannote[1147].start 4897.96596875
transcript.pyannote[1147].end 4903.11284375
transcript.pyannote[1148].speaker SPEAKER_22
transcript.pyannote[1148].start 4903.95659375
transcript.pyannote[1148].end 4908.63096875
transcript.pyannote[1149].speaker SPEAKER_22
transcript.pyannote[1149].start 4908.91784375
transcript.pyannote[1149].end 4909.54221875
transcript.pyannote[1150].speaker SPEAKER_22
transcript.pyannote[1150].start 4910.25096875
transcript.pyannote[1150].end 4912.84971875
transcript.pyannote[1151].speaker SPEAKER_22
transcript.pyannote[1151].start 4914.18284375
transcript.pyannote[1151].end 4914.97596875
transcript.pyannote[1152].speaker SPEAKER_22
transcript.pyannote[1152].start 4915.83659375
transcript.pyannote[1152].end 4916.54534375
transcript.pyannote[1153].speaker SPEAKER_22
transcript.pyannote[1153].start 4917.52409375
transcript.pyannote[1153].end 4918.16534375
transcript.pyannote[1154].speaker SPEAKER_22
transcript.pyannote[1154].start 4918.92471875
transcript.pyannote[1154].end 4920.57846875
transcript.pyannote[1155].speaker SPEAKER_22
transcript.pyannote[1155].start 4920.91596875
transcript.pyannote[1155].end 4922.51909375
transcript.pyannote[1156].speaker SPEAKER_22
transcript.pyannote[1156].start 4922.94096875
transcript.pyannote[1156].end 4923.48096875
transcript.pyannote[1157].speaker SPEAKER_22
transcript.pyannote[1157].start 4923.98721875
transcript.pyannote[1157].end 4939.25909375
transcript.pyannote[1158].speaker SPEAKER_22
transcript.pyannote[1158].start 4940.05221875
transcript.pyannote[1158].end 4943.07284375
transcript.pyannote[1159].speaker SPEAKER_22
transcript.pyannote[1159].start 4944.35534375
transcript.pyannote[1159].end 4945.21596875
transcript.pyannote[1160].speaker SPEAKER_22
transcript.pyannote[1160].start 4945.63784375
transcript.pyannote[1160].end 4947.05534375
transcript.pyannote[1161].speaker SPEAKER_22
transcript.pyannote[1161].start 4947.61221875
transcript.pyannote[1161].end 4951.64534375
transcript.pyannote[1162].speaker SPEAKER_22
transcript.pyannote[1162].start 4952.18534375
transcript.pyannote[1162].end 4953.58596875
transcript.pyannote[1163].speaker SPEAKER_10
transcript.pyannote[1163].start 4954.64909375
transcript.pyannote[1163].end 4955.50971875
transcript.pyannote[1164].speaker SPEAKER_10
transcript.pyannote[1164].start 4956.10034375
transcript.pyannote[1164].end 4957.90596875
transcript.pyannote[1165].speaker SPEAKER_10
transcript.pyannote[1165].start 4958.46284375
transcript.pyannote[1165].end 4960.03221875
transcript.pyannote[1166].speaker SPEAKER_10
transcript.pyannote[1166].start 4960.40346875
transcript.pyannote[1166].end 4961.65221875
transcript.pyannote[1167].speaker SPEAKER_10
transcript.pyannote[1167].start 4961.93909375
transcript.pyannote[1167].end 4963.93034375
transcript.pyannote[1168].speaker SPEAKER_10
transcript.pyannote[1168].start 4964.38596875
transcript.pyannote[1168].end 4967.87909375
transcript.pyannote[1169].speaker SPEAKER_10
transcript.pyannote[1169].start 4968.09846875
transcript.pyannote[1169].end 4972.38471875
transcript.pyannote[1170].speaker SPEAKER_10
transcript.pyannote[1170].start 4972.65471875
transcript.pyannote[1170].end 4974.59534375
transcript.pyannote[1171].speaker SPEAKER_10
transcript.pyannote[1171].start 4975.01721875
transcript.pyannote[1171].end 4977.70034375
transcript.pyannote[1172].speaker SPEAKER_10
transcript.pyannote[1172].start 4978.13909375
transcript.pyannote[1172].end 4985.69909375
transcript.pyannote[1173].speaker SPEAKER_22
transcript.pyannote[1173].start 4984.34909375
transcript.pyannote[1173].end 4984.92284375
transcript.pyannote[1174].speaker SPEAKER_22
transcript.pyannote[1174].start 4985.69909375
transcript.pyannote[1174].end 4987.47096875
transcript.pyannote[1175].speaker SPEAKER_10
transcript.pyannote[1175].start 4985.73284375
transcript.pyannote[1175].end 4986.10409375
transcript.pyannote[1176].speaker SPEAKER_22
transcript.pyannote[1176].start 4988.28096875
transcript.pyannote[1176].end 4989.34409375
transcript.pyannote[1177].speaker SPEAKER_22
transcript.pyannote[1177].start 4989.58034375
transcript.pyannote[1177].end 4991.38596875
transcript.pyannote[1178].speaker SPEAKER_22
transcript.pyannote[1178].start 4992.29721875
transcript.pyannote[1178].end 4995.38534375
transcript.pyannote[1179].speaker SPEAKER_22
transcript.pyannote[1179].start 4995.58784375
transcript.pyannote[1179].end 5000.65034375
transcript.pyannote[1180].speaker SPEAKER_22
transcript.pyannote[1180].start 5001.15659375
transcript.pyannote[1180].end 5011.24784375
transcript.pyannote[1181].speaker SPEAKER_22
transcript.pyannote[1181].start 5011.80471875
transcript.pyannote[1181].end 5013.76221875
transcript.pyannote[1182].speaker SPEAKER_22
transcript.pyannote[1182].start 5016.10784375
transcript.pyannote[1182].end 5017.44096875
transcript.pyannote[1183].speaker SPEAKER_22
transcript.pyannote[1183].start 5017.84596875
transcript.pyannote[1183].end 5025.79409375
transcript.pyannote[1184].speaker SPEAKER_37
transcript.pyannote[1184].start 5024.62971875
transcript.pyannote[1184].end 5044.60971875
transcript.pyannote[1185].speaker SPEAKER_37
transcript.pyannote[1185].start 5045.25096875
transcript.pyannote[1185].end 5046.48284375
transcript.pyannote[1186].speaker SPEAKER_22
transcript.pyannote[1186].start 5046.48284375
transcript.pyannote[1186].end 5047.07346875
transcript.pyannote[1187].speaker SPEAKER_37
transcript.pyannote[1187].start 5047.07346875
transcript.pyannote[1187].end 5047.47846875
transcript.pyannote[1188].speaker SPEAKER_22
transcript.pyannote[1188].start 5047.47846875
transcript.pyannote[1188].end 5047.52909375
transcript.pyannote[1189].speaker SPEAKER_22
transcript.pyannote[1189].start 5048.45721875
transcript.pyannote[1189].end 5050.78596875
transcript.pyannote[1190].speaker SPEAKER_22
transcript.pyannote[1190].start 5051.32596875
transcript.pyannote[1190].end 5053.16534375
transcript.pyannote[1191].speaker SPEAKER_22
transcript.pyannote[1191].start 5054.09346875
transcript.pyannote[1191].end 5056.70909375
transcript.pyannote[1192].speaker SPEAKER_22
transcript.pyannote[1192].start 5057.14784375
transcript.pyannote[1192].end 5061.75471875
transcript.pyannote[1193].speaker SPEAKER_22
transcript.pyannote[1193].start 5062.12596875
transcript.pyannote[1193].end 5062.63221875
transcript.pyannote[1194].speaker SPEAKER_22
transcript.pyannote[1194].start 5063.22284375
transcript.pyannote[1194].end 5064.35346875
transcript.pyannote[1195].speaker SPEAKER_22
transcript.pyannote[1195].start 5064.82596875
transcript.pyannote[1195].end 5066.20971875
transcript.pyannote[1196].speaker SPEAKER_22
transcript.pyannote[1196].start 5067.40784375
transcript.pyannote[1196].end 5068.48784375
transcript.pyannote[1197].speaker SPEAKER_22
transcript.pyannote[1197].start 5069.73659375
transcript.pyannote[1197].end 5070.52971875
transcript.pyannote[1198].speaker SPEAKER_22
transcript.pyannote[1198].start 5071.17096875
transcript.pyannote[1198].end 5071.99784375
transcript.pyannote[1199].speaker SPEAKER_22
transcript.pyannote[1199].start 5072.90909375
transcript.pyannote[1199].end 5073.70221875
transcript.pyannote[1200].speaker SPEAKER_22
transcript.pyannote[1200].start 5074.47846875
transcript.pyannote[1200].end 5075.91284375
transcript.pyannote[1201].speaker SPEAKER_22
transcript.pyannote[1201].start 5076.80721875
transcript.pyannote[1201].end 5078.30909375
transcript.pyannote[1202].speaker SPEAKER_22
transcript.pyannote[1202].start 5078.89971875
transcript.pyannote[1202].end 5080.09784375
transcript.pyannote[1203].speaker SPEAKER_22
transcript.pyannote[1203].start 5080.57034375
transcript.pyannote[1203].end 5082.22409375
transcript.pyannote[1204].speaker SPEAKER_22
transcript.pyannote[1204].start 5083.11846875
transcript.pyannote[1204].end 5083.96221875
transcript.pyannote[1205].speaker SPEAKER_22
transcript.pyannote[1205].start 5084.78909375
transcript.pyannote[1205].end 5086.45971875
transcript.pyannote[1206].speaker SPEAKER_22
transcript.pyannote[1206].start 5087.11784375
transcript.pyannote[1206].end 5088.26534375
transcript.pyannote[1207].speaker SPEAKER_22
transcript.pyannote[1207].start 5089.21034375
transcript.pyannote[1207].end 5090.57721875
transcript.pyannote[1208].speaker SPEAKER_22
transcript.pyannote[1208].start 5090.64471875
transcript.pyannote[1208].end 5092.36596875
transcript.pyannote[1209].speaker SPEAKER_22
transcript.pyannote[1209].start 5092.83846875
transcript.pyannote[1209].end 5093.69909375
transcript.pyannote[1210].speaker SPEAKER_22
transcript.pyannote[1210].start 5094.07034375
transcript.pyannote[1210].end 5094.57659375
transcript.pyannote[1211].speaker SPEAKER_22
transcript.pyannote[1211].start 5094.81284375
transcript.pyannote[1211].end 5096.48346875
transcript.pyannote[1212].speaker SPEAKER_22
transcript.pyannote[1212].start 5096.80409375
transcript.pyannote[1212].end 5098.98096875
transcript.pyannote[1213].speaker SPEAKER_22
transcript.pyannote[1213].start 5099.50409375
transcript.pyannote[1213].end 5100.56721875
transcript.pyannote[1214].speaker SPEAKER_22
transcript.pyannote[1214].start 5101.14096875
transcript.pyannote[1214].end 5104.60034375
transcript.pyannote[1215].speaker SPEAKER_22
transcript.pyannote[1215].start 5105.02221875
transcript.pyannote[1215].end 5108.49846875
transcript.pyannote[1216].speaker SPEAKER_22
transcript.pyannote[1216].start 5108.81909375
transcript.pyannote[1216].end 5109.32534375
transcript.pyannote[1217].speaker SPEAKER_22
transcript.pyannote[1217].start 5109.74721875
transcript.pyannote[1217].end 5110.25346875
transcript.pyannote[1218].speaker SPEAKER_22
transcript.pyannote[1218].start 5110.96221875
transcript.pyannote[1218].end 5112.16034375
transcript.pyannote[1219].speaker SPEAKER_22
transcript.pyannote[1219].start 5112.63284375
transcript.pyannote[1219].end 5118.21846875
transcript.pyannote[1220].speaker SPEAKER_22
transcript.pyannote[1220].start 5118.70784375
transcript.pyannote[1220].end 5124.44534375
transcript.pyannote[1221].speaker SPEAKER_22
transcript.pyannote[1221].start 5124.96846875
transcript.pyannote[1221].end 5129.38971875
transcript.pyannote[1222].speaker SPEAKER_22
transcript.pyannote[1222].start 5130.30096875
transcript.pyannote[1222].end 5135.93721875
transcript.pyannote[1223].speaker SPEAKER_22
transcript.pyannote[1223].start 5136.66284375
transcript.pyannote[1223].end 5141.62409375
transcript.pyannote[1224].speaker SPEAKER_09
transcript.pyannote[1224].start 5139.51471875
transcript.pyannote[1224].end 5140.25721875
transcript.pyannote[1225].speaker SPEAKER_22
transcript.pyannote[1225].start 5142.19784375
transcript.pyannote[1225].end 5142.88971875
transcript.pyannote[1226].speaker SPEAKER_22
transcript.pyannote[1226].start 5143.44659375
transcript.pyannote[1226].end 5145.62346875
transcript.pyannote[1227].speaker SPEAKER_22
transcript.pyannote[1227].start 5146.14659375
transcript.pyannote[1227].end 5147.37846875
transcript.pyannote[1228].speaker SPEAKER_22
transcript.pyannote[1228].start 5147.76659375
transcript.pyannote[1228].end 5149.25159375
transcript.pyannote[1229].speaker SPEAKER_22
transcript.pyannote[1229].start 5149.77471875
transcript.pyannote[1229].end 5150.56784375
transcript.pyannote[1230].speaker SPEAKER_22
transcript.pyannote[1230].start 5151.37784375
transcript.pyannote[1230].end 5152.44096875
transcript.pyannote[1231].speaker SPEAKER_22
transcript.pyannote[1231].start 5152.76159375
transcript.pyannote[1231].end 5157.65534375
transcript.pyannote[1232].speaker SPEAKER_22
transcript.pyannote[1232].start 5158.04346875
transcript.pyannote[1232].end 5161.01346875
transcript.pyannote[1233].speaker SPEAKER_22
transcript.pyannote[1233].start 5161.78971875
transcript.pyannote[1233].end 5162.34659375
transcript.pyannote[1234].speaker SPEAKER_22
transcript.pyannote[1234].start 5162.56596875
transcript.pyannote[1234].end 5166.81846875
transcript.pyannote[1235].speaker SPEAKER_10
transcript.pyannote[1235].start 5166.02534375
transcript.pyannote[1235].end 5167.18971875
transcript.pyannote[1236].speaker SPEAKER_11
transcript.pyannote[1236].start 5167.18971875
transcript.pyannote[1236].end 5167.20659375
transcript.pyannote[1237].speaker SPEAKER_22
transcript.pyannote[1237].start 5167.29096875
transcript.pyannote[1237].end 5174.17596875
transcript.pyannote[1238].speaker SPEAKER_22
transcript.pyannote[1238].start 5174.51346875
transcript.pyannote[1238].end 5188.40159375
transcript.pyannote[1239].speaker SPEAKER_22
transcript.pyannote[1239].start 5188.89096875
transcript.pyannote[1239].end 5191.79346875
transcript.pyannote[1240].speaker SPEAKER_36
transcript.pyannote[1240].start 5190.12284375
transcript.pyannote[1240].end 5190.66284375
transcript.pyannote[1241].speaker SPEAKER_22
transcript.pyannote[1241].start 5192.77221875
transcript.pyannote[1241].end 5194.72971875
transcript.pyannote[1242].speaker SPEAKER_22
transcript.pyannote[1242].start 5195.01659375
transcript.pyannote[1242].end 5195.82659375
transcript.pyannote[1243].speaker SPEAKER_22
transcript.pyannote[1243].start 5196.23159375
transcript.pyannote[1243].end 5218.89471875
transcript.pyannote[1244].speaker SPEAKER_22
transcript.pyannote[1244].start 5219.08034375
transcript.pyannote[1244].end 5241.23721875
transcript.pyannote[1245].speaker SPEAKER_22
transcript.pyannote[1245].start 5241.79409375
transcript.pyannote[1245].end 5245.33784375
transcript.pyannote[1246].speaker SPEAKER_22
transcript.pyannote[1246].start 5246.28284375
transcript.pyannote[1246].end 5279.25659375
transcript.pyannote[1247].speaker SPEAKER_22
transcript.pyannote[1247].start 5280.16784375
transcript.pyannote[1247].end 5282.26034375
transcript.pyannote[1248].speaker SPEAKER_22
transcript.pyannote[1248].start 5282.64846875
transcript.pyannote[1248].end 5284.23471875
transcript.pyannote[1249].speaker SPEAKER_22
transcript.pyannote[1249].start 5285.14596875
transcript.pyannote[1249].end 5286.68159375
transcript.pyannote[1250].speaker SPEAKER_22
transcript.pyannote[1250].start 5287.13721875
transcript.pyannote[1250].end 5297.83596875
transcript.pyannote[1251].speaker SPEAKER_22
transcript.pyannote[1251].start 5298.34221875
transcript.pyannote[1251].end 5310.05346875
transcript.pyannote[1252].speaker SPEAKER_22
transcript.pyannote[1252].start 5310.35721875
transcript.pyannote[1252].end 5313.27659375
transcript.pyannote[1253].speaker SPEAKER_22
transcript.pyannote[1253].start 5313.85034375
transcript.pyannote[1253].end 5314.28909375
transcript.pyannote[1254].speaker SPEAKER_22
transcript.pyannote[1254].start 5314.93034375
transcript.pyannote[1254].end 5316.46596875
transcript.pyannote[1255].speaker SPEAKER_22
transcript.pyannote[1255].start 5316.97221875
transcript.pyannote[1255].end 5320.39784375
transcript.pyannote[1256].speaker SPEAKER_22
transcript.pyannote[1256].start 5320.87034375
transcript.pyannote[1256].end 5322.89534375
transcript.pyannote[1257].speaker SPEAKER_22
transcript.pyannote[1257].start 5323.14846875
transcript.pyannote[1257].end 5323.89096875
transcript.pyannote[1258].speaker SPEAKER_22
transcript.pyannote[1258].start 5324.58284375
transcript.pyannote[1258].end 5325.96659375
transcript.pyannote[1259].speaker SPEAKER_10
transcript.pyannote[1259].start 5325.96659375
transcript.pyannote[1259].end 5333.03721875
transcript.pyannote[1260].speaker SPEAKER_10
transcript.pyannote[1260].start 5333.76284375
transcript.pyannote[1260].end 5335.60221875
transcript.pyannote[1261].speaker SPEAKER_22
transcript.pyannote[1261].start 5334.80909375
transcript.pyannote[1261].end 5340.85034375
transcript.pyannote[1262].speaker SPEAKER_10
transcript.pyannote[1262].start 5340.85034375
transcript.pyannote[1262].end 5342.25096875
transcript.pyannote[1263].speaker SPEAKER_22
transcript.pyannote[1263].start 5341.13721875
transcript.pyannote[1263].end 5348.08971875
transcript.pyannote[1264].speaker SPEAKER_10
transcript.pyannote[1264].start 5344.69784375
transcript.pyannote[1264].end 5345.71034375
transcript.pyannote[1265].speaker SPEAKER_10
transcript.pyannote[1265].start 5347.12784375
transcript.pyannote[1265].end 5350.78971875
transcript.pyannote[1266].speaker SPEAKER_22
transcript.pyannote[1266].start 5349.60846875
transcript.pyannote[1266].end 5350.84034375
transcript.pyannote[1267].speaker SPEAKER_10
transcript.pyannote[1267].start 5350.84034375
transcript.pyannote[1267].end 5352.46034375
transcript.pyannote[1268].speaker SPEAKER_22
transcript.pyannote[1268].start 5352.46034375
transcript.pyannote[1268].end 5352.47721875
transcript.pyannote[1269].speaker SPEAKER_10
transcript.pyannote[1269].start 5353.01721875
transcript.pyannote[1269].end 5353.03409375
transcript.pyannote[1270].speaker SPEAKER_22
transcript.pyannote[1270].start 5353.03409375
transcript.pyannote[1270].end 5354.62034375
transcript.pyannote[1271].speaker SPEAKER_22
transcript.pyannote[1271].start 5354.95784375
transcript.pyannote[1271].end 5356.07159375
transcript.pyannote[1272].speaker SPEAKER_22
transcript.pyannote[1272].start 5356.15596875
transcript.pyannote[1272].end 5364.91409375
transcript.pyannote[1273].speaker SPEAKER_10
transcript.pyannote[1273].start 5356.54409375
transcript.pyannote[1273].end 5356.56096875
transcript.pyannote[1274].speaker SPEAKER_36
transcript.pyannote[1274].start 5362.02846875
transcript.pyannote[1274].end 5362.48409375
transcript.pyannote[1275].speaker SPEAKER_22
transcript.pyannote[1275].start 5365.36971875
transcript.pyannote[1275].end 5367.42846875
transcript.pyannote[1276].speaker SPEAKER_36
transcript.pyannote[1276].start 5367.42846875
transcript.pyannote[1276].end 5367.63096875
transcript.pyannote[1277].speaker SPEAKER_22
transcript.pyannote[1277].start 5367.63096875
transcript.pyannote[1277].end 5372.15346875
transcript.pyannote[1278].speaker SPEAKER_22
transcript.pyannote[1278].start 5372.77784375
transcript.pyannote[1278].end 5373.58784375
transcript.pyannote[1279].speaker SPEAKER_22
transcript.pyannote[1279].start 5373.94221875
transcript.pyannote[1279].end 5376.13596875
transcript.pyannote[1280].speaker SPEAKER_22
transcript.pyannote[1280].start 5376.70971875
transcript.pyannote[1280].end 5382.54846875
transcript.pyannote[1281].speaker SPEAKER_22
transcript.pyannote[1281].start 5382.64971875
transcript.pyannote[1281].end 5388.65721875
transcript.pyannote[1282].speaker SPEAKER_22
transcript.pyannote[1282].start 5389.16346875
transcript.pyannote[1282].end 5391.79596875
transcript.pyannote[1283].speaker SPEAKER_22
transcript.pyannote[1283].start 5392.09971875
transcript.pyannote[1283].end 5393.23034375
transcript.pyannote[1284].speaker SPEAKER_22
transcript.pyannote[1284].start 5393.46659375
transcript.pyannote[1284].end 5394.61409375
transcript.pyannote[1285].speaker SPEAKER_22
transcript.pyannote[1285].start 5395.25534375
transcript.pyannote[1285].end 5396.03159375
transcript.pyannote[1286].speaker SPEAKER_22
transcript.pyannote[1286].start 5396.60534375
transcript.pyannote[1286].end 5397.04409375
transcript.pyannote[1287].speaker SPEAKER_22
transcript.pyannote[1287].start 5397.68534375
transcript.pyannote[1287].end 5399.50784375
transcript.pyannote[1288].speaker SPEAKER_22
transcript.pyannote[1288].start 5399.91284375
transcript.pyannote[1288].end 5400.84096875
transcript.pyannote[1289].speaker SPEAKER_22
transcript.pyannote[1289].start 5401.36409375
transcript.pyannote[1289].end 5402.79846875
transcript.pyannote[1290].speaker SPEAKER_22
transcript.pyannote[1290].start 5403.37221875
transcript.pyannote[1290].end 5404.50284375
transcript.pyannote[1291].speaker SPEAKER_22
transcript.pyannote[1291].start 5405.02596875
transcript.pyannote[1291].end 5406.64596875
transcript.pyannote[1292].speaker SPEAKER_22
transcript.pyannote[1292].start 5406.96659375
transcript.pyannote[1292].end 5408.58659375
transcript.pyannote[1293].speaker SPEAKER_22
transcript.pyannote[1293].start 5409.22784375
transcript.pyannote[1293].end 5409.81846875
transcript.pyannote[1294].speaker SPEAKER_22
transcript.pyannote[1294].start 5410.51034375
transcript.pyannote[1294].end 5413.51409375
transcript.pyannote[1295].speaker SPEAKER_22
transcript.pyannote[1295].start 5414.08784375
transcript.pyannote[1295].end 5415.11721875
transcript.pyannote[1296].speaker SPEAKER_22
transcript.pyannote[1296].start 5415.58971875
transcript.pyannote[1296].end 5416.85534375
transcript.pyannote[1297].speaker SPEAKER_22
transcript.pyannote[1297].start 5417.22659375
transcript.pyannote[1297].end 5418.27284375
transcript.pyannote[1298].speaker SPEAKER_22
transcript.pyannote[1298].start 5418.82971875
transcript.pyannote[1298].end 5424.93846875
transcript.pyannote[1299].speaker SPEAKER_22
transcript.pyannote[1299].start 5425.51221875
transcript.pyannote[1299].end 5428.73534375
transcript.pyannote[1300].speaker SPEAKER_22
transcript.pyannote[1300].start 5429.17409375
transcript.pyannote[1300].end 5435.97471875
transcript.pyannote[1301].speaker SPEAKER_22
transcript.pyannote[1301].start 5436.80159375
transcript.pyannote[1301].end 5465.92784375
transcript.pyannote[1302].speaker SPEAKER_22
transcript.pyannote[1302].start 5466.40034375
transcript.pyannote[1302].end 5468.72909375
transcript.pyannote[1303].speaker SPEAKER_22
transcript.pyannote[1303].start 5469.16784375
transcript.pyannote[1303].end 5471.59784375
transcript.pyannote[1304].speaker SPEAKER_22
transcript.pyannote[1304].start 5471.88471875
transcript.pyannote[1304].end 5474.06159375
transcript.pyannote[1305].speaker SPEAKER_22
transcript.pyannote[1305].start 5474.36534375
transcript.pyannote[1305].end 5474.90534375
transcript.pyannote[1306].speaker SPEAKER_22
transcript.pyannote[1306].start 5475.32721875
transcript.pyannote[1306].end 5482.02659375
transcript.pyannote[1307].speaker SPEAKER_22
transcript.pyannote[1307].start 5482.75221875
transcript.pyannote[1307].end 5483.79846875
transcript.pyannote[1308].speaker SPEAKER_22
transcript.pyannote[1308].start 5484.30471875
transcript.pyannote[1308].end 5486.63346875
transcript.pyannote[1309].speaker SPEAKER_10
transcript.pyannote[1309].start 5484.91221875
transcript.pyannote[1309].end 5485.14846875
transcript.pyannote[1310].speaker SPEAKER_22
transcript.pyannote[1310].start 5487.05534375
transcript.pyannote[1310].end 5488.25346875
transcript.pyannote[1311].speaker SPEAKER_22
transcript.pyannote[1311].start 5488.79346875
transcript.pyannote[1311].end 5490.09284375
transcript.pyannote[1312].speaker SPEAKER_22
transcript.pyannote[1312].start 5490.78471875
transcript.pyannote[1312].end 5491.42596875
transcript.pyannote[1313].speaker SPEAKER_22
transcript.pyannote[1313].start 5491.78034375
transcript.pyannote[1313].end 5492.23596875
transcript.pyannote[1314].speaker SPEAKER_22
transcript.pyannote[1314].start 5492.62409375
transcript.pyannote[1314].end 5494.05846875
transcript.pyannote[1315].speaker SPEAKER_22
transcript.pyannote[1315].start 5494.37909375
transcript.pyannote[1315].end 5505.93846875
transcript.pyannote[1316].speaker SPEAKER_22
transcript.pyannote[1316].start 5506.19159375
transcript.pyannote[1316].end 5507.10284375
transcript.pyannote[1317].speaker SPEAKER_22
transcript.pyannote[1317].start 5507.40659375
transcript.pyannote[1317].end 5508.45284375
transcript.pyannote[1318].speaker SPEAKER_22
transcript.pyannote[1318].start 5509.53284375
transcript.pyannote[1318].end 5514.62909375
transcript.pyannote[1319].speaker SPEAKER_22
transcript.pyannote[1319].start 5515.48971875
transcript.pyannote[1319].end 5517.26159375
transcript.pyannote[1320].speaker SPEAKER_22
transcript.pyannote[1320].start 5517.93659375
transcript.pyannote[1320].end 5518.72971875
transcript.pyannote[1321].speaker SPEAKER_22
transcript.pyannote[1321].start 5519.26971875
transcript.pyannote[1321].end 5520.70409375
transcript.pyannote[1322].speaker SPEAKER_22
transcript.pyannote[1322].start 5521.61534375
transcript.pyannote[1322].end 5523.75846875
transcript.pyannote[1323].speaker SPEAKER_22
transcript.pyannote[1323].start 5524.16346875
transcript.pyannote[1323].end 5524.68659375
transcript.pyannote[1324].speaker SPEAKER_22
transcript.pyannote[1324].start 5525.12534375
transcript.pyannote[1324].end 5526.30659375
transcript.pyannote[1325].speaker SPEAKER_22
transcript.pyannote[1325].start 5527.43721875
transcript.pyannote[1325].end 5529.00659375
transcript.pyannote[1326].speaker SPEAKER_22
transcript.pyannote[1326].start 5529.61409375
transcript.pyannote[1326].end 5537.27534375
transcript.pyannote[1327].speaker SPEAKER_22
transcript.pyannote[1327].start 5537.84909375
transcript.pyannote[1327].end 5540.48159375
transcript.pyannote[1328].speaker SPEAKER_22
transcript.pyannote[1328].start 5541.15659375
transcript.pyannote[1328].end 5552.42909375
transcript.pyannote[1329].speaker SPEAKER_22
transcript.pyannote[1329].start 5553.08721875
transcript.pyannote[1329].end 5553.18846875
transcript.pyannote[1330].speaker SPEAKER_22
transcript.pyannote[1330].start 5553.25596875
transcript.pyannote[1330].end 5558.58846875
transcript.pyannote[1331].speaker SPEAKER_22
transcript.pyannote[1331].start 5559.07784375
transcript.pyannote[1331].end 5566.90784375
transcript.pyannote[1332].speaker SPEAKER_22
transcript.pyannote[1332].start 5567.16096875
transcript.pyannote[1332].end 5567.86971875
transcript.pyannote[1333].speaker SPEAKER_22
transcript.pyannote[1333].start 5568.39284375
transcript.pyannote[1333].end 5572.18971875
transcript.pyannote[1334].speaker SPEAKER_22
transcript.pyannote[1334].start 5572.67909375
transcript.pyannote[1334].end 5573.35409375
transcript.pyannote[1335].speaker SPEAKER_22
transcript.pyannote[1335].start 5573.64096875
transcript.pyannote[1335].end 5574.41721875
transcript.pyannote[1336].speaker SPEAKER_22
transcript.pyannote[1336].start 5574.82221875
transcript.pyannote[1336].end 5575.24409375
transcript.pyannote[1337].speaker SPEAKER_22
transcript.pyannote[1337].start 5575.59846875
transcript.pyannote[1337].end 5577.42096875
transcript.pyannote[1338].speaker SPEAKER_22
transcript.pyannote[1338].start 5578.14659375
transcript.pyannote[1338].end 5581.25159375
transcript.pyannote[1339].speaker SPEAKER_22
transcript.pyannote[1339].start 5581.72409375
transcript.pyannote[1339].end 5583.39471875
transcript.pyannote[1340].speaker SPEAKER_22
transcript.pyannote[1340].start 5583.96846875
transcript.pyannote[1340].end 5585.23409375
transcript.pyannote[1341].speaker SPEAKER_22
transcript.pyannote[1341].start 5585.97659375
transcript.pyannote[1341].end 5587.20846875
transcript.pyannote[1342].speaker SPEAKER_22
transcript.pyannote[1342].start 5587.41096875
transcript.pyannote[1342].end 5590.95471875
transcript.pyannote[1343].speaker SPEAKER_22
transcript.pyannote[1343].start 5590.97159375
transcript.pyannote[1343].end 5591.03909375
transcript.pyannote[1344].speaker SPEAKER_22
transcript.pyannote[1344].start 5591.19096875
transcript.pyannote[1344].end 5603.47596875
transcript.pyannote[1345].speaker SPEAKER_10
transcript.pyannote[1345].start 5602.75034375
transcript.pyannote[1345].end 5613.43221875
transcript.pyannote[1346].speaker SPEAKER_22
transcript.pyannote[1346].start 5605.36596875
transcript.pyannote[1346].end 5605.56846875
transcript.pyannote[1347].speaker SPEAKER_22
transcript.pyannote[1347].start 5609.50034375
transcript.pyannote[1347].end 5611.45784375
transcript.pyannote[1348].speaker SPEAKER_22
transcript.pyannote[1348].start 5612.36909375
transcript.pyannote[1348].end 5612.85846875
transcript.pyannote[1349].speaker SPEAKER_22
transcript.pyannote[1349].start 5613.43221875
transcript.pyannote[1349].end 5635.35284375
transcript.pyannote[1350].speaker SPEAKER_10
transcript.pyannote[1350].start 5613.53346875
transcript.pyannote[1350].end 5614.14096875
transcript.pyannote[1351].speaker SPEAKER_22
transcript.pyannote[1351].start 5636.07846875
transcript.pyannote[1351].end 5637.24284375
transcript.pyannote[1352].speaker SPEAKER_22
transcript.pyannote[1352].start 5637.61409375
transcript.pyannote[1352].end 5640.49971875
transcript.pyannote[1353].speaker SPEAKER_22
transcript.pyannote[1353].start 5640.95534375
transcript.pyannote[1353].end 5641.27596875
transcript.pyannote[1354].speaker SPEAKER_22
transcript.pyannote[1354].start 5641.98471875
transcript.pyannote[1354].end 5643.77346875
transcript.pyannote[1355].speaker SPEAKER_22
transcript.pyannote[1355].start 5644.39784375
transcript.pyannote[1355].end 5657.15534375
transcript.pyannote[1356].speaker SPEAKER_22
transcript.pyannote[1356].start 5657.52659375
transcript.pyannote[1356].end 5659.48409375
transcript.pyannote[1357].speaker SPEAKER_22
transcript.pyannote[1357].start 5659.83846875
transcript.pyannote[1357].end 5664.34409375
transcript.pyannote[1358].speaker SPEAKER_22
transcript.pyannote[1358].start 5664.61409375
transcript.pyannote[1358].end 5667.24659375
transcript.pyannote[1359].speaker SPEAKER_22
transcript.pyannote[1359].start 5667.51659375
transcript.pyannote[1359].end 5672.10659375
transcript.pyannote[1360].speaker SPEAKER_22
transcript.pyannote[1360].start 5672.49471875
transcript.pyannote[1360].end 5675.21159375
transcript.pyannote[1361].speaker SPEAKER_22
transcript.pyannote[1361].start 5675.54909375
transcript.pyannote[1361].end 5684.27346875
transcript.pyannote[1362].speaker SPEAKER_22
transcript.pyannote[1362].start 5684.61096875
transcript.pyannote[1362].end 5685.21846875
transcript.pyannote[1363].speaker SPEAKER_22
transcript.pyannote[1363].start 5685.84284375
transcript.pyannote[1363].end 5693.65596875
transcript.pyannote[1364].speaker SPEAKER_09
transcript.pyannote[1364].start 5689.57221875
transcript.pyannote[1364].end 5693.35221875
transcript.pyannote[1365].speaker SPEAKER_22
transcript.pyannote[1365].start 5693.90909375
transcript.pyannote[1365].end 5700.82784375
transcript.pyannote[1366].speaker SPEAKER_22
transcript.pyannote[1366].start 5700.86159375
transcript.pyannote[1366].end 5717.50034375
transcript.pyannote[1367].speaker SPEAKER_22
transcript.pyannote[1367].start 5717.82096875
transcript.pyannote[1367].end 5719.84596875
transcript.pyannote[1368].speaker SPEAKER_22
transcript.pyannote[1368].start 5720.28471875
transcript.pyannote[1368].end 5721.75284375
transcript.pyannote[1369].speaker SPEAKER_22
transcript.pyannote[1369].start 5722.10721875
transcript.pyannote[1369].end 5727.30471875
transcript.pyannote[1370].speaker SPEAKER_22
transcript.pyannote[1370].start 5727.59159375
transcript.pyannote[1370].end 5730.22409375
transcript.pyannote[1371].speaker SPEAKER_22
transcript.pyannote[1371].start 5730.46034375
transcript.pyannote[1371].end 5731.27034375
transcript.pyannote[1372].speaker SPEAKER_22
transcript.pyannote[1372].start 5732.67096875
transcript.pyannote[1372].end 5748.22971875
transcript.pyannote[1373].speaker SPEAKER_22
transcript.pyannote[1373].start 5748.53346875
transcript.pyannote[1373].end 5750.18721875
transcript.pyannote[1374].speaker SPEAKER_22
transcript.pyannote[1374].start 5750.98034375
transcript.pyannote[1374].end 5752.90409375
transcript.pyannote[1375].speaker SPEAKER_22
transcript.pyannote[1375].start 5753.15721875
transcript.pyannote[1375].end 5761.88159375
transcript.pyannote[1376].speaker SPEAKER_10
transcript.pyannote[1376].start 5761.88159375
transcript.pyannote[1376].end 5768.07471875
transcript.pyannote[1377].speaker SPEAKER_22
transcript.pyannote[1377].start 5761.89846875
transcript.pyannote[1377].end 5762.38784375
transcript.pyannote[1378].speaker SPEAKER_10
transcript.pyannote[1378].start 5768.29409375
transcript.pyannote[1378].end 5771.02784375
transcript.pyannote[1379].speaker SPEAKER_37
transcript.pyannote[1379].start 5773.69409375
transcript.pyannote[1379].end 5778.85784375
transcript.pyannote[1380].speaker SPEAKER_37
transcript.pyannote[1380].start 5781.79409375
transcript.pyannote[1380].end 5786.83971875
transcript.pyannote[1381].speaker SPEAKER_37
transcript.pyannote[1381].start 5788.08846875
transcript.pyannote[1381].end 5789.91096875
transcript.pyannote[1382].speaker SPEAKER_28
transcript.pyannote[1382].start 5803.76534375
transcript.pyannote[1382].end 5805.90846875
transcript.pyannote[1383].speaker SPEAKER_37
transcript.pyannote[1383].start 5806.48221875
transcript.pyannote[1383].end 5807.81534375
transcript.pyannote[1384].speaker SPEAKER_10
transcript.pyannote[1384].start 5817.06284375
transcript.pyannote[1384].end 5818.78409375
transcript.pyannote[1385].speaker SPEAKER_28
transcript.pyannote[1385].start 5817.99096875
transcript.pyannote[1385].end 5818.83471875
transcript.pyannote[1386].speaker SPEAKER_10
transcript.pyannote[1386].start 5818.83471875
transcript.pyannote[1386].end 5818.95284375
transcript.pyannote[1387].speaker SPEAKER_28
transcript.pyannote[1387].start 5819.37471875
transcript.pyannote[1387].end 5823.39096875
transcript.pyannote[1388].speaker SPEAKER_28
transcript.pyannote[1388].start 5824.06596875
transcript.pyannote[1388].end 5829.53346875
transcript.pyannote[1389].speaker SPEAKER_28
transcript.pyannote[1389].start 5829.97221875
transcript.pyannote[1389].end 5831.72721875
transcript.pyannote[1390].speaker SPEAKER_28
transcript.pyannote[1390].start 5832.60471875
transcript.pyannote[1390].end 5834.83221875
transcript.pyannote[1391].speaker SPEAKER_28
transcript.pyannote[1391].start 5835.25409375
transcript.pyannote[1391].end 5838.25784375
transcript.pyannote[1392].speaker SPEAKER_28
transcript.pyannote[1392].start 5838.59534375
transcript.pyannote[1392].end 5844.60284375
transcript.pyannote[1393].speaker SPEAKER_28
transcript.pyannote[1393].start 5845.00784375
transcript.pyannote[1393].end 5851.57221875
transcript.pyannote[1394].speaker SPEAKER_36
transcript.pyannote[1394].start 5851.57221875
transcript.pyannote[1394].end 5852.01096875
transcript.pyannote[1395].speaker SPEAKER_28
transcript.pyannote[1395].start 5852.01096875
transcript.pyannote[1395].end 5865.30846875
transcript.pyannote[1396].speaker SPEAKER_28
transcript.pyannote[1396].start 5866.00034375
transcript.pyannote[1396].end 5869.94909375
transcript.pyannote[1397].speaker SPEAKER_28
transcript.pyannote[1397].start 5870.20221875
transcript.pyannote[1397].end 5870.97846875
transcript.pyannote[1398].speaker SPEAKER_28
transcript.pyannote[1398].start 5871.21471875
transcript.pyannote[1398].end 5893.25346875
transcript.pyannote[1399].speaker SPEAKER_28
transcript.pyannote[1399].start 5893.97909375
transcript.pyannote[1399].end 5896.15596875
transcript.pyannote[1400].speaker SPEAKER_28
transcript.pyannote[1400].start 5896.34159375
transcript.pyannote[1400].end 5898.07971875
transcript.pyannote[1401].speaker SPEAKER_28
transcript.pyannote[1401].start 5898.24846875
transcript.pyannote[1401].end 5903.24346875
transcript.pyannote[1402].speaker SPEAKER_28
transcript.pyannote[1402].start 5903.59784375
transcript.pyannote[1402].end 5909.26784375
transcript.pyannote[1403].speaker SPEAKER_28
transcript.pyannote[1403].start 5909.36909375
transcript.pyannote[1403].end 5911.66409375
transcript.pyannote[1404].speaker SPEAKER_28
transcript.pyannote[1404].start 5911.69784375
transcript.pyannote[1404].end 5914.04346875
transcript.pyannote[1405].speaker SPEAKER_28
transcript.pyannote[1405].start 5914.16159375
transcript.pyannote[1405].end 5916.92909375
transcript.pyannote[1406].speaker SPEAKER_28
transcript.pyannote[1406].start 5917.14846875
transcript.pyannote[1406].end 5918.21159375
transcript.pyannote[1407].speaker SPEAKER_28
transcript.pyannote[1407].start 5918.71784375
transcript.pyannote[1407].end 5922.85221875
transcript.pyannote[1408].speaker SPEAKER_28
transcript.pyannote[1408].start 5923.44284375
transcript.pyannote[1408].end 5933.11221875
transcript.pyannote[1409].speaker SPEAKER_28
transcript.pyannote[1409].start 5933.75346875
transcript.pyannote[1409].end 5940.31784375
transcript.pyannote[1410].speaker SPEAKER_28
transcript.pyannote[1410].start 5941.11096875
transcript.pyannote[1410].end 5941.90409375
transcript.pyannote[1411].speaker SPEAKER_28
transcript.pyannote[1411].start 5942.46096875
transcript.pyannote[1411].end 5943.37221875
transcript.pyannote[1412].speaker SPEAKER_28
transcript.pyannote[1412].start 5943.77721875
transcript.pyannote[1412].end 5945.44784375
transcript.pyannote[1413].speaker SPEAKER_28
transcript.pyannote[1413].start 5946.10596875
transcript.pyannote[1413].end 5950.71284375
transcript.pyannote[1414].speaker SPEAKER_28
transcript.pyannote[1414].start 5951.15159375
transcript.pyannote[1414].end 5976.04221875
transcript.pyannote[1415].speaker SPEAKER_10
transcript.pyannote[1415].start 5976.76784375
transcript.pyannote[1415].end 5976.97034375
transcript.pyannote[1416].speaker SPEAKER_28
transcript.pyannote[1416].start 5976.97034375
transcript.pyannote[1416].end 5977.03784375
transcript.pyannote[1417].speaker SPEAKER_10
transcript.pyannote[1417].start 5977.03784375
transcript.pyannote[1417].end 5977.24034375
transcript.pyannote[1418].speaker SPEAKER_28
transcript.pyannote[1418].start 5977.24034375
transcript.pyannote[1418].end 5978.43846875
transcript.pyannote[1419].speaker SPEAKER_25
transcript.pyannote[1419].start 5977.44284375
transcript.pyannote[1419].end 5988.96846875
transcript.pyannote[1420].speaker SPEAKER_28
transcript.pyannote[1420].start 5987.98971875
transcript.pyannote[1420].end 5990.45346875
transcript.pyannote[1421].speaker SPEAKER_25
transcript.pyannote[1421].start 5990.21721875
transcript.pyannote[1421].end 6000.64596875
transcript.pyannote[1422].speaker SPEAKER_28
transcript.pyannote[1422].start 6000.05534375
transcript.pyannote[1422].end 6002.23221875
transcript.pyannote[1423].speaker SPEAKER_25
transcript.pyannote[1423].start 6002.43471875
transcript.pyannote[1423].end 6003.97034375
transcript.pyannote[1424].speaker SPEAKER_28
transcript.pyannote[1424].start 6003.97034375
transcript.pyannote[1424].end 6004.03784375
transcript.pyannote[1425].speaker SPEAKER_25
transcript.pyannote[1425].start 6004.03784375
transcript.pyannote[1425].end 6004.05471875
transcript.pyannote[1426].speaker SPEAKER_28
transcript.pyannote[1426].start 6004.05471875
transcript.pyannote[1426].end 6004.08846875
transcript.pyannote[1427].speaker SPEAKER_25
transcript.pyannote[1427].start 6004.08846875
transcript.pyannote[1427].end 6004.13909375
transcript.pyannote[1428].speaker SPEAKER_28
transcript.pyannote[1428].start 6004.13909375
transcript.pyannote[1428].end 6004.30784375
transcript.pyannote[1429].speaker SPEAKER_25
transcript.pyannote[1429].start 6004.30784375
transcript.pyannote[1429].end 6004.40909375
transcript.pyannote[1430].speaker SPEAKER_28
transcript.pyannote[1430].start 6004.40909375
transcript.pyannote[1430].end 6017.43659375
transcript.pyannote[1431].speaker SPEAKER_25
transcript.pyannote[1431].start 6004.42596875
transcript.pyannote[1431].end 6005.50596875
transcript.pyannote[1432].speaker SPEAKER_25
transcript.pyannote[1432].start 6005.52284375
transcript.pyannote[1432].end 6005.53971875
transcript.pyannote[1433].speaker SPEAKER_25
transcript.pyannote[1433].start 6007.78409375
transcript.pyannote[1433].end 6007.80096875
transcript.pyannote[1434].speaker SPEAKER_28
transcript.pyannote[1434].start 6017.90909375
transcript.pyannote[1434].end 6022.90409375
transcript.pyannote[1435].speaker SPEAKER_25
transcript.pyannote[1435].start 6023.05596875
transcript.pyannote[1435].end 6036.10034375
transcript.pyannote[1436].speaker SPEAKER_28
transcript.pyannote[1436].start 6034.73346875
transcript.pyannote[1436].end 6046.63034375
transcript.pyannote[1437].speaker SPEAKER_28
transcript.pyannote[1437].start 6047.08596875
transcript.pyannote[1437].end 6049.21221875
transcript.pyannote[1438].speaker SPEAKER_28
transcript.pyannote[1438].start 6049.65096875
transcript.pyannote[1438].end 6051.10221875
transcript.pyannote[1439].speaker SPEAKER_28
transcript.pyannote[1439].start 6051.47346875
transcript.pyannote[1439].end 6054.12284375
transcript.pyannote[1440].speaker SPEAKER_28
transcript.pyannote[1440].start 6054.57846875
transcript.pyannote[1440].end 6055.00034375
transcript.pyannote[1441].speaker SPEAKER_28
transcript.pyannote[1441].start 6055.28721875
transcript.pyannote[1441].end 6056.75534375
transcript.pyannote[1442].speaker SPEAKER_28
transcript.pyannote[1442].start 6057.16034375
transcript.pyannote[1442].end 6073.66409375
transcript.pyannote[1443].speaker SPEAKER_28
transcript.pyannote[1443].start 6074.01846875
transcript.pyannote[1443].end 6078.72659375
transcript.pyannote[1444].speaker SPEAKER_28
transcript.pyannote[1444].start 6079.30034375
transcript.pyannote[1444].end 6091.16346875
transcript.pyannote[1445].speaker SPEAKER_25
transcript.pyannote[1445].start 6091.31534375
transcript.pyannote[1445].end 6092.17596875
transcript.pyannote[1446].speaker SPEAKER_28
transcript.pyannote[1446].start 6092.17596875
transcript.pyannote[1446].end 6092.37846875
transcript.pyannote[1447].speaker SPEAKER_28
transcript.pyannote[1447].start 6092.61471875
transcript.pyannote[1447].end 6101.44034375
transcript.pyannote[1448].speaker SPEAKER_28
transcript.pyannote[1448].start 6101.60909375
transcript.pyannote[1448].end 6101.81159375
transcript.pyannote[1449].speaker SPEAKER_10
transcript.pyannote[1449].start 6101.71034375
transcript.pyannote[1449].end 6111.56534375
transcript.pyannote[1450].speaker SPEAKER_28
transcript.pyannote[1450].start 6108.35909375
transcript.pyannote[1450].end 6112.79721875
transcript.pyannote[1451].speaker SPEAKER_34
transcript.pyannote[1451].start 6111.56534375
transcript.pyannote[1451].end 6111.58221875
transcript.pyannote[1452].speaker SPEAKER_28
transcript.pyannote[1452].start 6113.62409375
transcript.pyannote[1452].end 6125.40284375
transcript.pyannote[1453].speaker SPEAKER_10
transcript.pyannote[1453].start 6125.33534375
transcript.pyannote[1453].end 6131.62971875
transcript.pyannote[1454].speaker SPEAKER_28
transcript.pyannote[1454].start 6125.41971875
transcript.pyannote[1454].end 6125.62221875
transcript.pyannote[1455].speaker SPEAKER_28
transcript.pyannote[1455].start 6126.26346875
transcript.pyannote[1455].end 6126.31409375
transcript.pyannote[1456].speaker SPEAKER_28
transcript.pyannote[1456].start 6126.38159375
transcript.pyannote[1456].end 6126.43221875
transcript.pyannote[1457].speaker SPEAKER_28
transcript.pyannote[1457].start 6128.30534375
transcript.pyannote[1457].end 6129.04784375
transcript.pyannote[1458].speaker SPEAKER_28
transcript.pyannote[1458].start 6129.25034375
transcript.pyannote[1458].end 6134.66721875
transcript.pyannote[1459].speaker SPEAKER_28
transcript.pyannote[1459].start 6134.86971875
transcript.pyannote[1459].end 6136.00034375
transcript.pyannote[1460].speaker SPEAKER_28
transcript.pyannote[1460].start 6136.08471875
transcript.pyannote[1460].end 6136.15221875
transcript.pyannote[1461].speaker SPEAKER_25
transcript.pyannote[1461].start 6136.15221875
transcript.pyannote[1461].end 6136.35471875
transcript.pyannote[1462].speaker SPEAKER_10
transcript.pyannote[1462].start 6136.35471875
transcript.pyannote[1462].end 6136.37159375
transcript.pyannote[1463].speaker SPEAKER_28
transcript.pyannote[1463].start 6136.97909375
transcript.pyannote[1463].end 6138.29534375
transcript.pyannote[1464].speaker SPEAKER_28
transcript.pyannote[1464].start 6138.44721875
transcript.pyannote[1464].end 6141.45096875
transcript.pyannote[1465].speaker SPEAKER_28
transcript.pyannote[1465].start 6141.61971875
transcript.pyannote[1465].end 6151.42409375
transcript.pyannote[1466].speaker SPEAKER_28
transcript.pyannote[1466].start 6151.77846875
transcript.pyannote[1466].end 6154.57971875
transcript.pyannote[1467].speaker SPEAKER_28
transcript.pyannote[1467].start 6154.78221875
transcript.pyannote[1467].end 6157.48221875
transcript.pyannote[1468].speaker SPEAKER_28
transcript.pyannote[1468].start 6157.95471875
transcript.pyannote[1468].end 6158.81534375
transcript.pyannote[1469].speaker SPEAKER_28
transcript.pyannote[1469].start 6159.47346875
transcript.pyannote[1469].end 6162.81471875
transcript.pyannote[1470].speaker SPEAKER_25
transcript.pyannote[1470].start 6162.27471875
transcript.pyannote[1470].end 6168.02909375
transcript.pyannote[1471].speaker SPEAKER_28
transcript.pyannote[1471].start 6167.35409375
transcript.pyannote[1471].end 6188.27909375
transcript.pyannote[1472].speaker SPEAKER_28
transcript.pyannote[1472].start 6188.61659375
transcript.pyannote[1472].end 6197.25659375
transcript.pyannote[1473].speaker SPEAKER_28
transcript.pyannote[1473].start 6197.56034375
transcript.pyannote[1473].end 6199.66971875
transcript.pyannote[1474].speaker SPEAKER_28
transcript.pyannote[1474].start 6200.02409375
transcript.pyannote[1474].end 6208.34346875
transcript.pyannote[1475].speaker SPEAKER_28
transcript.pyannote[1475].start 6209.11971875
transcript.pyannote[1475].end 6219.56534375
transcript.pyannote[1476].speaker SPEAKER_28
transcript.pyannote[1476].start 6219.83534375
transcript.pyannote[1476].end 6222.19784375
transcript.pyannote[1477].speaker SPEAKER_28
transcript.pyannote[1477].start 6222.55221875
transcript.pyannote[1477].end 6225.97784375
transcript.pyannote[1478].speaker SPEAKER_28
transcript.pyannote[1478].start 6226.18034375
transcript.pyannote[1478].end 6235.57971875
transcript.pyannote[1479].speaker SPEAKER_28
transcript.pyannote[1479].start 6235.96784375
transcript.pyannote[1479].end 6237.79034375
transcript.pyannote[1480].speaker SPEAKER_28
transcript.pyannote[1480].start 6237.97596875
transcript.pyannote[1480].end 6239.47784375
transcript.pyannote[1481].speaker SPEAKER_28
transcript.pyannote[1481].start 6239.56221875
transcript.pyannote[1481].end 6250.02471875
transcript.pyannote[1482].speaker SPEAKER_28
transcript.pyannote[1482].start 6250.51409375
transcript.pyannote[1482].end 6250.93596875
transcript.pyannote[1483].speaker SPEAKER_28
transcript.pyannote[1483].start 6251.07096875
transcript.pyannote[1483].end 6252.64034375
transcript.pyannote[1484].speaker SPEAKER_28
transcript.pyannote[1484].start 6252.96096875
transcript.pyannote[1484].end 6255.62721875
transcript.pyannote[1485].speaker SPEAKER_28
transcript.pyannote[1485].start 6255.96471875
transcript.pyannote[1485].end 6257.14596875
transcript.pyannote[1486].speaker SPEAKER_28
transcript.pyannote[1486].start 6257.78721875
transcript.pyannote[1486].end 6260.18346875
transcript.pyannote[1487].speaker SPEAKER_28
transcript.pyannote[1487].start 6261.11159375
transcript.pyannote[1487].end 6262.46159375
transcript.pyannote[1488].speaker SPEAKER_09
transcript.pyannote[1488].start 6263.01846875
transcript.pyannote[1488].end 6263.30534375
transcript.pyannote[1489].speaker SPEAKER_28
transcript.pyannote[1489].start 6263.30534375
transcript.pyannote[1489].end 6263.32221875
transcript.pyannote[1490].speaker SPEAKER_28
transcript.pyannote[1490].start 6263.40659375
transcript.pyannote[1490].end 6264.36846875
transcript.pyannote[1491].speaker SPEAKER_28
transcript.pyannote[1491].start 6265.09409375
transcript.pyannote[1491].end 6272.72159375
transcript.pyannote[1492].speaker SPEAKER_28
transcript.pyannote[1492].start 6273.14346875
transcript.pyannote[1492].end 6275.16846875
transcript.pyannote[1493].speaker SPEAKER_28
transcript.pyannote[1493].start 6275.59034375
transcript.pyannote[1493].end 6288.73596875
transcript.pyannote[1494].speaker SPEAKER_28
transcript.pyannote[1494].start 6289.05659375
transcript.pyannote[1494].end 6293.79846875
transcript.pyannote[1495].speaker SPEAKER_28
transcript.pyannote[1495].start 6294.54096875
transcript.pyannote[1495].end 6295.85721875
transcript.pyannote[1496].speaker SPEAKER_28
transcript.pyannote[1496].start 6296.51534375
transcript.pyannote[1496].end 6297.88221875
transcript.pyannote[1497].speaker SPEAKER_28
transcript.pyannote[1497].start 6298.10159375
transcript.pyannote[1497].end 6310.38659375
transcript.pyannote[1498].speaker SPEAKER_28
transcript.pyannote[1498].start 6310.65659375
transcript.pyannote[1498].end 6311.82096875
transcript.pyannote[1499].speaker SPEAKER_28
transcript.pyannote[1499].start 6312.49596875
transcript.pyannote[1499].end 6313.69409375
transcript.pyannote[1500].speaker SPEAKER_28
transcript.pyannote[1500].start 6313.91346875
transcript.pyannote[1500].end 6314.92596875
transcript.pyannote[1501].speaker SPEAKER_28
transcript.pyannote[1501].start 6315.17909375
transcript.pyannote[1501].end 6317.25471875
transcript.pyannote[1502].speaker SPEAKER_28
transcript.pyannote[1502].start 6318.19971875
transcript.pyannote[1502].end 6318.46971875
transcript.pyannote[1503].speaker SPEAKER_28
transcript.pyannote[1503].start 6318.99284375
transcript.pyannote[1503].end 6320.19096875
transcript.pyannote[1504].speaker SPEAKER_36
transcript.pyannote[1504].start 6319.76909375
transcript.pyannote[1504].end 6320.24159375
transcript.pyannote[1505].speaker SPEAKER_28
transcript.pyannote[1505].start 6320.24159375
transcript.pyannote[1505].end 6323.56596875
transcript.pyannote[1506].speaker SPEAKER_36
transcript.pyannote[1506].start 6320.25846875
transcript.pyannote[1506].end 6320.34284375
transcript.pyannote[1507].speaker SPEAKER_28
transcript.pyannote[1507].start 6324.12284375
transcript.pyannote[1507].end 6330.99096875
transcript.pyannote[1508].speaker SPEAKER_28
transcript.pyannote[1508].start 6331.42971875
transcript.pyannote[1508].end 6335.14221875
transcript.pyannote[1509].speaker SPEAKER_28
transcript.pyannote[1509].start 6335.76659375
transcript.pyannote[1509].end 6342.17909375
transcript.pyannote[1510].speaker SPEAKER_10
transcript.pyannote[1510].start 6342.17909375
transcript.pyannote[1510].end 6342.55034375
transcript.pyannote[1511].speaker SPEAKER_28
transcript.pyannote[1511].start 6342.97221875
transcript.pyannote[1511].end 6344.57534375
transcript.pyannote[1512].speaker SPEAKER_28
transcript.pyannote[1512].start 6345.03096875
transcript.pyannote[1512].end 6348.11909375
transcript.pyannote[1513].speaker SPEAKER_28
transcript.pyannote[1513].start 6348.35534375
transcript.pyannote[1513].end 6354.81846875
transcript.pyannote[1514].speaker SPEAKER_26
transcript.pyannote[1514].start 6355.08846875
transcript.pyannote[1514].end 6355.94909375
transcript.pyannote[1515].speaker SPEAKER_26
transcript.pyannote[1515].start 6356.67471875
transcript.pyannote[1515].end 6360.77534375
transcript.pyannote[1516].speaker SPEAKER_26
transcript.pyannote[1516].start 6361.28159375
transcript.pyannote[1516].end 6368.84159375
transcript.pyannote[1517].speaker SPEAKER_28
transcript.pyannote[1517].start 6364.92659375
transcript.pyannote[1517].end 6366.78284375
transcript.pyannote[1518].speaker SPEAKER_26
transcript.pyannote[1518].start 6369.09471875
transcript.pyannote[1518].end 6371.91284375
transcript.pyannote[1519].speaker SPEAKER_26
transcript.pyannote[1519].start 6372.13221875
transcript.pyannote[1519].end 6374.46096875
transcript.pyannote[1520].speaker SPEAKER_26
transcript.pyannote[1520].start 6374.71409375
transcript.pyannote[1520].end 6381.04221875
transcript.pyannote[1521].speaker SPEAKER_26
transcript.pyannote[1521].start 6381.22784375
transcript.pyannote[1521].end 6383.13471875
transcript.pyannote[1522].speaker SPEAKER_26
transcript.pyannote[1522].start 6383.35409375
transcript.pyannote[1522].end 6387.87659375
transcript.pyannote[1523].speaker SPEAKER_26
transcript.pyannote[1523].start 6388.12971875
transcript.pyannote[1523].end 6389.44596875
transcript.pyannote[1524].speaker SPEAKER_26
transcript.pyannote[1524].start 6389.63159375
transcript.pyannote[1524].end 6394.01909375
transcript.pyannote[1525].speaker SPEAKER_28
transcript.pyannote[1525].start 6393.68159375
transcript.pyannote[1525].end 6396.39846875
transcript.pyannote[1526].speaker SPEAKER_26
transcript.pyannote[1526].start 6396.04409375
transcript.pyannote[1526].end 6401.98409375
transcript.pyannote[1527].speaker SPEAKER_26
transcript.pyannote[1527].start 6402.18659375
transcript.pyannote[1527].end 6406.35471875
transcript.pyannote[1528].speaker SPEAKER_26
transcript.pyannote[1528].start 6406.89471875
transcript.pyannote[1528].end 6411.46784375
transcript.pyannote[1529].speaker SPEAKER_28
transcript.pyannote[1529].start 6410.18534375
transcript.pyannote[1529].end 6414.23534375
transcript.pyannote[1530].speaker SPEAKER_26
transcript.pyannote[1530].start 6412.51409375
transcript.pyannote[1530].end 6413.83034375
transcript.pyannote[1531].speaker SPEAKER_26
transcript.pyannote[1531].start 6414.01596875
transcript.pyannote[1531].end 6414.04971875
transcript.pyannote[1532].speaker SPEAKER_26
transcript.pyannote[1532].start 6414.13409375
transcript.pyannote[1532].end 6415.34909375
transcript.pyannote[1533].speaker SPEAKER_26
transcript.pyannote[1533].start 6415.45034375
transcript.pyannote[1533].end 6420.15846875
transcript.pyannote[1534].speaker SPEAKER_26
transcript.pyannote[1534].start 6420.44534375
transcript.pyannote[1534].end 6430.55346875
transcript.pyannote[1535].speaker SPEAKER_28
transcript.pyannote[1535].start 6426.94221875
transcript.pyannote[1535].end 6427.88721875
transcript.pyannote[1536].speaker SPEAKER_28
transcript.pyannote[1536].start 6428.98409375
transcript.pyannote[1536].end 6429.54096875
transcript.pyannote[1537].speaker SPEAKER_28
transcript.pyannote[1537].start 6430.18221875
transcript.pyannote[1537].end 6431.86971875
transcript.pyannote[1538].speaker SPEAKER_28
transcript.pyannote[1538].start 6432.44346875
transcript.pyannote[1538].end 6432.96659375
transcript.pyannote[1539].speaker SPEAKER_28
transcript.pyannote[1539].start 6433.33784375
transcript.pyannote[1539].end 6437.03346875
transcript.pyannote[1540].speaker SPEAKER_28
transcript.pyannote[1540].start 6437.89409375
transcript.pyannote[1540].end 6438.82221875
transcript.pyannote[1541].speaker SPEAKER_28
transcript.pyannote[1541].start 6439.34534375
transcript.pyannote[1541].end 6451.61346875
transcript.pyannote[1542].speaker SPEAKER_28
transcript.pyannote[1542].start 6451.76534375
transcript.pyannote[1542].end 6476.67284375
transcript.pyannote[1543].speaker SPEAKER_28
transcript.pyannote[1543].start 6476.92596875
transcript.pyannote[1543].end 6477.31409375
transcript.pyannote[1544].speaker SPEAKER_28
transcript.pyannote[1544].start 6477.56721875
transcript.pyannote[1544].end 6479.76096875
transcript.pyannote[1545].speaker SPEAKER_28
transcript.pyannote[1545].start 6479.96346875
transcript.pyannote[1545].end 6487.33784375
transcript.pyannote[1546].speaker SPEAKER_28
transcript.pyannote[1546].start 6487.70909375
transcript.pyannote[1546].end 6490.74659375
transcript.pyannote[1547].speaker SPEAKER_28
transcript.pyannote[1547].start 6492.02909375
transcript.pyannote[1547].end 6504.58409375
transcript.pyannote[1548].speaker SPEAKER_28
transcript.pyannote[1548].start 6505.25909375
transcript.pyannote[1548].end 6506.76096875
transcript.pyannote[1549].speaker SPEAKER_28
transcript.pyannote[1549].start 6507.19971875
transcript.pyannote[1549].end 6515.51909375
transcript.pyannote[1550].speaker SPEAKER_28
transcript.pyannote[1550].start 6515.67096875
transcript.pyannote[1550].end 6516.10971875
transcript.pyannote[1551].speaker SPEAKER_28
transcript.pyannote[1551].start 6516.32909375
transcript.pyannote[1551].end 6517.27409375
transcript.pyannote[1552].speaker SPEAKER_28
transcript.pyannote[1552].start 6517.64534375
transcript.pyannote[1552].end 6526.53846875
transcript.pyannote[1553].speaker SPEAKER_28
transcript.pyannote[1553].start 6526.94346875
transcript.pyannote[1553].end 6527.93909375
transcript.pyannote[1554].speaker SPEAKER_28
transcript.pyannote[1554].start 6528.86721875
transcript.pyannote[1554].end 6533.64284375
transcript.pyannote[1555].speaker SPEAKER_28
transcript.pyannote[1555].start 6535.14471875
transcript.pyannote[1555].end 6536.29221875
transcript.pyannote[1556].speaker SPEAKER_28
transcript.pyannote[1556].start 6537.10221875
transcript.pyannote[1556].end 6538.46909375
transcript.pyannote[1557].speaker SPEAKER_28
transcript.pyannote[1557].start 6538.55346875
transcript.pyannote[1557].end 6547.96971875
transcript.pyannote[1558].speaker SPEAKER_28
transcript.pyannote[1558].start 6548.83034375
transcript.pyannote[1558].end 6551.96909375
transcript.pyannote[1559].speaker SPEAKER_28
transcript.pyannote[1559].start 6552.45846875
transcript.pyannote[1559].end 6560.89596875
transcript.pyannote[1560].speaker SPEAKER_28
transcript.pyannote[1560].start 6562.04346875
transcript.pyannote[1560].end 6563.14034375
transcript.pyannote[1561].speaker SPEAKER_28
transcript.pyannote[1561].start 6563.49471875
transcript.pyannote[1561].end 6563.78159375
transcript.pyannote[1562].speaker SPEAKER_28
transcript.pyannote[1562].start 6564.76034375
transcript.pyannote[1562].end 6567.34221875
transcript.pyannote[1563].speaker SPEAKER_28
transcript.pyannote[1563].start 6567.51096875
transcript.pyannote[1563].end 6572.08409375
transcript.pyannote[1564].speaker SPEAKER_28
transcript.pyannote[1564].start 6572.15159375
transcript.pyannote[1564].end 6573.50159375
transcript.pyannote[1565].speaker SPEAKER_28
transcript.pyannote[1565].start 6573.97409375
transcript.pyannote[1565].end 6574.71659375
transcript.pyannote[1566].speaker SPEAKER_26
transcript.pyannote[1566].start 6576.20159375
transcript.pyannote[1566].end 6579.25596875
transcript.pyannote[1567].speaker SPEAKER_26
transcript.pyannote[1567].start 6579.71159375
transcript.pyannote[1567].end 6582.56346875
transcript.pyannote[1568].speaker SPEAKER_26
transcript.pyannote[1568].start 6582.90096875
transcript.pyannote[1568].end 6588.87471875
transcript.pyannote[1569].speaker SPEAKER_26
transcript.pyannote[1569].start 6589.00971875
transcript.pyannote[1569].end 6590.10659375
transcript.pyannote[1570].speaker SPEAKER_26
transcript.pyannote[1570].start 6590.41034375
transcript.pyannote[1570].end 6593.16096875
transcript.pyannote[1571].speaker SPEAKER_28
transcript.pyannote[1571].start 6593.16096875
transcript.pyannote[1571].end 6594.91596875
transcript.pyannote[1572].speaker SPEAKER_26
transcript.pyannote[1572].start 6593.17784375
transcript.pyannote[1572].end 6593.31284375
transcript.pyannote[1573].speaker SPEAKER_26
transcript.pyannote[1573].start 6594.22409375
transcript.pyannote[1573].end 6598.08846875
transcript.pyannote[1574].speaker SPEAKER_28
transcript.pyannote[1574].start 6596.28284375
transcript.pyannote[1574].end 6599.69159375
transcript.pyannote[1575].speaker SPEAKER_28
transcript.pyannote[1575].start 6600.01221875
transcript.pyannote[1575].end 6613.07346875
transcript.pyannote[1576].speaker SPEAKER_28
transcript.pyannote[1576].start 6613.83284375
transcript.pyannote[1576].end 6617.07284375
transcript.pyannote[1577].speaker SPEAKER_26
transcript.pyannote[1577].start 6617.61284375
transcript.pyannote[1577].end 6623.45159375
transcript.pyannote[1578].speaker SPEAKER_26
transcript.pyannote[1578].start 6623.87346875
transcript.pyannote[1578].end 6627.46784375
transcript.pyannote[1579].speaker SPEAKER_26
transcript.pyannote[1579].start 6627.70409375
transcript.pyannote[1579].end 6630.40409375
transcript.pyannote[1580].speaker SPEAKER_26
transcript.pyannote[1580].start 6630.89346875
transcript.pyannote[1580].end 6633.07034375
transcript.pyannote[1581].speaker SPEAKER_28
transcript.pyannote[1581].start 6632.95221875
transcript.pyannote[1581].end 6635.98971875
transcript.pyannote[1582].speaker SPEAKER_28
transcript.pyannote[1582].start 6636.37784375
transcript.pyannote[1582].end 6637.33971875
transcript.pyannote[1583].speaker SPEAKER_28
transcript.pyannote[1583].start 6637.59284375
transcript.pyannote[1583].end 6638.47034375
transcript.pyannote[1584].speaker SPEAKER_28
transcript.pyannote[1584].start 6639.80346875
transcript.pyannote[1584].end 6641.11971875
transcript.pyannote[1585].speaker SPEAKER_28
transcript.pyannote[1585].start 6641.77784375
transcript.pyannote[1585].end 6643.53284375
transcript.pyannote[1586].speaker SPEAKER_28
transcript.pyannote[1586].start 6644.54534375
transcript.pyannote[1586].end 6645.74346875
transcript.pyannote[1587].speaker SPEAKER_28
transcript.pyannote[1587].start 6646.23284375
transcript.pyannote[1587].end 6648.49409375
transcript.pyannote[1588].speaker SPEAKER_36
transcript.pyannote[1588].start 6648.67971875
transcript.pyannote[1588].end 6648.96659375
transcript.pyannote[1589].speaker SPEAKER_28
transcript.pyannote[1589].start 6648.91596875
transcript.pyannote[1589].end 6650.68784375
transcript.pyannote[1590].speaker SPEAKER_10
transcript.pyannote[1590].start 6648.96659375
transcript.pyannote[1590].end 6649.25346875
transcript.pyannote[1591].speaker SPEAKER_36
transcript.pyannote[1591].start 6649.25346875
transcript.pyannote[1591].end 6649.27034375
transcript.pyannote[1592].speaker SPEAKER_28
transcript.pyannote[1592].start 6651.46409375
transcript.pyannote[1592].end 6653.48909375
transcript.pyannote[1593].speaker SPEAKER_28
transcript.pyannote[1593].start 6653.65784375
transcript.pyannote[1593].end 6654.95721875
transcript.pyannote[1594].speaker SPEAKER_10
transcript.pyannote[1594].start 6653.70846875
transcript.pyannote[1594].end 6664.42409375
transcript.pyannote[1595].speaker SPEAKER_09
transcript.pyannote[1595].start 6660.54284375
transcript.pyannote[1595].end 6662.26409375
transcript.pyannote[1596].speaker SPEAKER_09
transcript.pyannote[1596].start 6663.37784375
transcript.pyannote[1596].end 6664.33971875
transcript.pyannote[1597].speaker SPEAKER_10
transcript.pyannote[1597].start 6664.72784375
transcript.pyannote[1597].end 6680.03346875
transcript.pyannote[1598].speaker SPEAKER_09
transcript.pyannote[1598].start 6666.70221875
transcript.pyannote[1598].end 6667.59659375
transcript.pyannote[1599].speaker SPEAKER_09
transcript.pyannote[1599].start 6670.48221875
transcript.pyannote[1599].end 6670.76909375
transcript.pyannote[1600].speaker SPEAKER_09
transcript.pyannote[1600].start 6672.97971875
transcript.pyannote[1600].end 6673.48596875
transcript.pyannote[1601].speaker SPEAKER_09
transcript.pyannote[1601].start 6677.16471875
transcript.pyannote[1601].end 6677.18159375
transcript.pyannote[1602].speaker SPEAKER_28
transcript.pyannote[1602].start 6677.18159375
transcript.pyannote[1602].end 6687.05346875
transcript.pyannote[1603].speaker SPEAKER_28
transcript.pyannote[1603].start 6687.50909375
transcript.pyannote[1603].end 6694.19159375
transcript.pyannote[1604].speaker SPEAKER_28
transcript.pyannote[1604].start 6694.36034375
transcript.pyannote[1604].end 6700.33409375
transcript.pyannote[1605].speaker SPEAKER_28
transcript.pyannote[1605].start 6700.72221875
transcript.pyannote[1605].end 6703.30409375
transcript.pyannote[1606].speaker SPEAKER_28
transcript.pyannote[1606].start 6704.28284375
transcript.pyannote[1606].end 6721.52909375
transcript.pyannote[1607].speaker SPEAKER_37
transcript.pyannote[1607].start 6735.11346875
transcript.pyannote[1607].end 6739.38284375
transcript.pyannote[1608].speaker SPEAKER_37
transcript.pyannote[1608].start 6740.98596875
transcript.pyannote[1608].end 6746.04846875
transcript.pyannote[1609].speaker SPEAKER_37
transcript.pyannote[1609].start 6746.52096875
transcript.pyannote[1609].end 6747.41534375
transcript.pyannote[1610].speaker SPEAKER_37
transcript.pyannote[1610].start 7378.69221875
transcript.pyannote[1610].end 7384.64909375
transcript.pyannote[1611].speaker SPEAKER_36
transcript.pyannote[1611].start 7392.68159375
transcript.pyannote[1611].end 7395.60096875
transcript.pyannote[1612].speaker SPEAKER_30
transcript.pyannote[1612].start 7395.60096875
transcript.pyannote[1612].end 7395.61784375
transcript.pyannote[1613].speaker SPEAKER_36
transcript.pyannote[1613].start 7395.61784375
transcript.pyannote[1613].end 7395.66846875
transcript.pyannote[1614].speaker SPEAKER_30
transcript.pyannote[1614].start 7398.70596875
transcript.pyannote[1614].end 7399.71846875
transcript.pyannote[1615].speaker SPEAKER_33
transcript.pyannote[1615].start 7406.85659375
transcript.pyannote[1615].end 7409.15159375
transcript.pyannote[1616].speaker SPEAKER_33
transcript.pyannote[1616].start 7409.70846875
transcript.pyannote[1616].end 7414.61909375
transcript.pyannote[1617].speaker SPEAKER_33
transcript.pyannote[1617].start 7414.97346875
transcript.pyannote[1617].end 7418.34846875
transcript.pyannote[1618].speaker SPEAKER_33
transcript.pyannote[1618].start 7418.98971875
transcript.pyannote[1618].end 7419.74909375
transcript.pyannote[1619].speaker SPEAKER_37
transcript.pyannote[1619].start 7419.05721875
transcript.pyannote[1619].end 7420.45784375
transcript.pyannote[1620].speaker SPEAKER_10
transcript.pyannote[1620].start 7429.70534375
transcript.pyannote[1620].end 7430.38034375
transcript.pyannote[1621].speaker SPEAKER_33
transcript.pyannote[1621].start 7430.38034375
transcript.pyannote[1621].end 7431.76409375
transcript.pyannote[1622].speaker SPEAKER_33
transcript.pyannote[1622].start 7432.05096875
transcript.pyannote[1622].end 7437.36659375
transcript.pyannote[1623].speaker SPEAKER_10
transcript.pyannote[1623].start 7432.32096875
transcript.pyannote[1623].end 7432.65846875
transcript.pyannote[1624].speaker SPEAKER_33
transcript.pyannote[1624].start 7437.82221875
transcript.pyannote[1624].end 7438.91909375
transcript.pyannote[1625].speaker SPEAKER_33
transcript.pyannote[1625].start 7439.34096875
transcript.pyannote[1625].end 7440.33659375
transcript.pyannote[1626].speaker SPEAKER_33
transcript.pyannote[1626].start 7440.75846875
transcript.pyannote[1626].end 7440.99471875
transcript.pyannote[1627].speaker SPEAKER_33
transcript.pyannote[1627].start 7441.43346875
transcript.pyannote[1627].end 7443.49221875
transcript.pyannote[1628].speaker SPEAKER_33
transcript.pyannote[1628].start 7444.21784375
transcript.pyannote[1628].end 7445.78721875
transcript.pyannote[1629].speaker SPEAKER_33
transcript.pyannote[1629].start 7446.15846875
transcript.pyannote[1629].end 7448.99346875
transcript.pyannote[1630].speaker SPEAKER_33
transcript.pyannote[1630].start 7449.39846875
transcript.pyannote[1630].end 7450.29284375
transcript.pyannote[1631].speaker SPEAKER_33
transcript.pyannote[1631].start 7450.56284375
transcript.pyannote[1631].end 7451.59221875
transcript.pyannote[1632].speaker SPEAKER_33
transcript.pyannote[1632].start 7452.09846875
transcript.pyannote[1632].end 7453.26284375
transcript.pyannote[1633].speaker SPEAKER_33
transcript.pyannote[1633].start 7453.51596875
transcript.pyannote[1633].end 7457.86971875
transcript.pyannote[1634].speaker SPEAKER_33
transcript.pyannote[1634].start 7458.35909375
transcript.pyannote[1634].end 7462.07159375
transcript.pyannote[1635].speaker SPEAKER_33
transcript.pyannote[1635].start 7462.10534375
transcript.pyannote[1635].end 7463.03346875
transcript.pyannote[1636].speaker SPEAKER_33
transcript.pyannote[1636].start 7463.40471875
transcript.pyannote[1636].end 7463.91096875
transcript.pyannote[1637].speaker SPEAKER_10
transcript.pyannote[1637].start 7464.58596875
transcript.pyannote[1637].end 7466.98221875
transcript.pyannote[1638].speaker SPEAKER_10
transcript.pyannote[1638].start 7467.15096875
transcript.pyannote[1638].end 7467.84284375
transcript.pyannote[1639].speaker SPEAKER_10
transcript.pyannote[1639].start 7468.09596875
transcript.pyannote[1639].end 7469.44596875
transcript.pyannote[1640].speaker SPEAKER_10
transcript.pyannote[1640].start 7469.80034375
transcript.pyannote[1640].end 7470.59346875
transcript.pyannote[1641].speaker SPEAKER_10
transcript.pyannote[1641].start 7471.01534375
transcript.pyannote[1641].end 7474.30596875
transcript.pyannote[1642].speaker SPEAKER_10
transcript.pyannote[1642].start 7474.60971875
transcript.pyannote[1642].end 7475.68971875
transcript.pyannote[1643].speaker SPEAKER_10
transcript.pyannote[1643].start 7476.06096875
transcript.pyannote[1643].end 7478.96346875
transcript.pyannote[1644].speaker SPEAKER_10
transcript.pyannote[1644].start 7479.35159375
transcript.pyannote[1644].end 7480.31346875
transcript.pyannote[1645].speaker SPEAKER_10
transcript.pyannote[1645].start 7480.63409375
transcript.pyannote[1645].end 7481.98409375
transcript.pyannote[1646].speaker SPEAKER_10
transcript.pyannote[1646].start 7482.03471875
transcript.pyannote[1646].end 7483.09784375
transcript.pyannote[1647].speaker SPEAKER_10
transcript.pyannote[1647].start 7483.55346875
transcript.pyannote[1647].end 7489.78034375
transcript.pyannote[1648].speaker SPEAKER_33
transcript.pyannote[1648].start 7489.71284375
transcript.pyannote[1648].end 7491.31596875
transcript.pyannote[1649].speaker SPEAKER_33
transcript.pyannote[1649].start 7491.53534375
transcript.pyannote[1649].end 7493.88096875
transcript.pyannote[1650].speaker SPEAKER_33
transcript.pyannote[1650].start 7494.23534375
transcript.pyannote[1650].end 7496.24346875
transcript.pyannote[1651].speaker SPEAKER_33
transcript.pyannote[1651].start 7497.13784375
transcript.pyannote[1651].end 7499.70284375
transcript.pyannote[1652].speaker SPEAKER_33
transcript.pyannote[1652].start 7500.39471875
transcript.pyannote[1652].end 7504.34346875
transcript.pyannote[1653].speaker SPEAKER_25
transcript.pyannote[1653].start 7506.38534375
transcript.pyannote[1653].end 7507.33034375
transcript.pyannote[1654].speaker SPEAKER_25
transcript.pyannote[1654].start 7507.66784375
transcript.pyannote[1654].end 7517.87721875
transcript.pyannote[1655].speaker SPEAKER_33
transcript.pyannote[1655].start 7517.50596875
transcript.pyannote[1655].end 7522.56846875
transcript.pyannote[1656].speaker SPEAKER_25
transcript.pyannote[1656].start 7519.17659375
transcript.pyannote[1656].end 7519.24409375
transcript.pyannote[1657].speaker SPEAKER_33
transcript.pyannote[1657].start 7523.29409375
transcript.pyannote[1657].end 7523.71596875
transcript.pyannote[1658].speaker SPEAKER_33
transcript.pyannote[1658].start 7524.13784375
transcript.pyannote[1658].end 7526.36534375
transcript.pyannote[1659].speaker SPEAKER_33
transcript.pyannote[1659].start 7527.09096875
transcript.pyannote[1659].end 7529.52096875
transcript.pyannote[1660].speaker SPEAKER_10
transcript.pyannote[1660].start 7530.22971875
transcript.pyannote[1660].end 7536.99659375
transcript.pyannote[1661].speaker SPEAKER_33
transcript.pyannote[1661].start 7531.57971875
transcript.pyannote[1661].end 7532.28846875
transcript.pyannote[1662].speaker SPEAKER_10
transcript.pyannote[1662].start 7537.30034375
transcript.pyannote[1662].end 7538.90346875
transcript.pyannote[1663].speaker SPEAKER_10
transcript.pyannote[1663].start 7539.59534375
transcript.pyannote[1663].end 7542.46409375
transcript.pyannote[1664].speaker SPEAKER_10
transcript.pyannote[1664].start 7542.59909375
transcript.pyannote[1664].end 7544.59034375
transcript.pyannote[1665].speaker SPEAKER_10
transcript.pyannote[1665].start 7545.02909375
transcript.pyannote[1665].end 7546.41284375
transcript.pyannote[1666].speaker SPEAKER_10
transcript.pyannote[1666].start 7546.83471875
transcript.pyannote[1666].end 7554.42846875
transcript.pyannote[1667].speaker SPEAKER_33
transcript.pyannote[1667].start 7552.23471875
transcript.pyannote[1667].end 7557.61784375
transcript.pyannote[1668].speaker SPEAKER_10
transcript.pyannote[1668].start 7557.61784375
transcript.pyannote[1668].end 7558.90034375
transcript.pyannote[1669].speaker SPEAKER_33
transcript.pyannote[1669].start 7558.30971875
transcript.pyannote[1669].end 7565.93721875
transcript.pyannote[1670].speaker SPEAKER_33
transcript.pyannote[1670].start 7566.54471875
transcript.pyannote[1670].end 7567.67534375
transcript.pyannote[1671].speaker SPEAKER_33
transcript.pyannote[1671].start 7567.81034375
transcript.pyannote[1671].end 7570.08846875
transcript.pyannote[1672].speaker SPEAKER_33
transcript.pyannote[1672].start 7570.51034375
transcript.pyannote[1672].end 7570.81409375
transcript.pyannote[1673].speaker SPEAKER_10
transcript.pyannote[1673].start 7572.04596875
transcript.pyannote[1673].end 7578.25596875
transcript.pyannote[1674].speaker SPEAKER_33
transcript.pyannote[1674].start 7577.26034375
transcript.pyannote[1674].end 7580.02784375
transcript.pyannote[1675].speaker SPEAKER_10
transcript.pyannote[1675].start 7578.82971875
transcript.pyannote[1675].end 7586.20409375
transcript.pyannote[1676].speaker SPEAKER_33
transcript.pyannote[1676].start 7586.44034375
transcript.pyannote[1676].end 7587.46971875
transcript.pyannote[1677].speaker SPEAKER_33
transcript.pyannote[1677].start 7587.75659375
transcript.pyannote[1677].end 7589.83221875
transcript.pyannote[1678].speaker SPEAKER_33
transcript.pyannote[1678].start 7590.20346875
transcript.pyannote[1678].end 7591.95846875
transcript.pyannote[1679].speaker SPEAKER_33
transcript.pyannote[1679].start 7592.38034375
transcript.pyannote[1679].end 7594.11846875
transcript.pyannote[1680].speaker SPEAKER_33
transcript.pyannote[1680].start 7594.50659375
transcript.pyannote[1680].end 7599.11346875
transcript.pyannote[1681].speaker SPEAKER_10
transcript.pyannote[1681].start 7599.75471875
transcript.pyannote[1681].end 7601.81346875
transcript.pyannote[1682].speaker SPEAKER_10
transcript.pyannote[1682].start 7602.18471875
transcript.pyannote[1682].end 7603.78784375
transcript.pyannote[1683].speaker SPEAKER_10
transcript.pyannote[1683].start 7604.12534375
transcript.pyannote[1683].end 7608.27659375
transcript.pyannote[1684].speaker SPEAKER_10
transcript.pyannote[1684].start 7608.91784375
transcript.pyannote[1684].end 7612.86659375
transcript.pyannote[1685].speaker SPEAKER_33
transcript.pyannote[1685].start 7609.87971875
transcript.pyannote[1685].end 7610.77409375
transcript.pyannote[1686].speaker SPEAKER_10
transcript.pyannote[1686].start 7613.32221875
transcript.pyannote[1686].end 7618.63784375
transcript.pyannote[1687].speaker SPEAKER_33
transcript.pyannote[1687].start 7615.27971875
transcript.pyannote[1687].end 7617.84471875
transcript.pyannote[1688].speaker SPEAKER_33
transcript.pyannote[1688].start 7619.09346875
transcript.pyannote[1688].end 7619.65034375
transcript.pyannote[1689].speaker SPEAKER_33
transcript.pyannote[1689].start 7620.69659375
transcript.pyannote[1689].end 7622.70471875
transcript.pyannote[1690].speaker SPEAKER_33
transcript.pyannote[1690].start 7623.24471875
transcript.pyannote[1690].end 7623.64971875
transcript.pyannote[1691].speaker SPEAKER_33
transcript.pyannote[1691].start 7624.07159375
transcript.pyannote[1691].end 7626.34971875
transcript.pyannote[1692].speaker SPEAKER_33
transcript.pyannote[1692].start 7627.00784375
transcript.pyannote[1692].end 7628.08784375
transcript.pyannote[1693].speaker SPEAKER_33
transcript.pyannote[1693].start 7628.56034375
transcript.pyannote[1693].end 7629.01596875
transcript.pyannote[1694].speaker SPEAKER_33
transcript.pyannote[1694].start 7629.60659375
transcript.pyannote[1694].end 7630.23096875
transcript.pyannote[1695].speaker SPEAKER_33
transcript.pyannote[1695].start 7631.00721875
transcript.pyannote[1695].end 7631.90159375
transcript.pyannote[1696].speaker SPEAKER_33
transcript.pyannote[1696].start 7632.55971875
transcript.pyannote[1696].end 7634.26409375
transcript.pyannote[1697].speaker SPEAKER_33
transcript.pyannote[1697].start 7634.82096875
transcript.pyannote[1697].end 7635.42846875
transcript.pyannote[1698].speaker SPEAKER_33
transcript.pyannote[1698].start 7635.71534375
transcript.pyannote[1698].end 7636.55909375
transcript.pyannote[1699].speaker SPEAKER_33
transcript.pyannote[1699].start 7636.99784375
transcript.pyannote[1699].end 7639.09034375
transcript.pyannote[1700].speaker SPEAKER_33
transcript.pyannote[1700].start 7639.17471875
transcript.pyannote[1700].end 7641.58784375
transcript.pyannote[1701].speaker SPEAKER_33
transcript.pyannote[1701].start 7642.14471875
transcript.pyannote[1701].end 7643.32596875
transcript.pyannote[1702].speaker SPEAKER_33
transcript.pyannote[1702].start 7643.61284375
transcript.pyannote[1702].end 7644.38909375
transcript.pyannote[1703].speaker SPEAKER_33
transcript.pyannote[1703].start 7645.38471875
transcript.pyannote[1703].end 7647.42659375
transcript.pyannote[1704].speaker SPEAKER_10
transcript.pyannote[1704].start 7648.74284375
transcript.pyannote[1704].end 7649.58659375
transcript.pyannote[1705].speaker SPEAKER_33
transcript.pyannote[1705].start 7649.92409375
transcript.pyannote[1705].end 7651.56096875
transcript.pyannote[1706].speaker SPEAKER_10
transcript.pyannote[1706].start 7652.47221875
transcript.pyannote[1706].end 7654.02471875
transcript.pyannote[1707].speaker SPEAKER_33
transcript.pyannote[1707].start 7654.56471875
transcript.pyannote[1707].end 7656.64034375
transcript.pyannote[1708].speaker SPEAKER_10
transcript.pyannote[1708].start 7656.11721875
transcript.pyannote[1708].end 7656.47159375
transcript.pyannote[1709].speaker SPEAKER_10
transcript.pyannote[1709].start 7656.99471875
transcript.pyannote[1709].end 7661.97284375
transcript.pyannote[1710].speaker SPEAKER_10
transcript.pyannote[1710].start 7662.02346875
transcript.pyannote[1710].end 7662.04034375
transcript.pyannote[1711].speaker SPEAKER_10
transcript.pyannote[1711].start 7662.07409375
transcript.pyannote[1711].end 7663.10346875
transcript.pyannote[1712].speaker SPEAKER_10
transcript.pyannote[1712].start 7663.32284375
transcript.pyannote[1712].end 7668.38534375
transcript.pyannote[1713].speaker SPEAKER_33
transcript.pyannote[1713].start 7668.38534375
transcript.pyannote[1713].end 7670.42721875
transcript.pyannote[1714].speaker SPEAKER_33
transcript.pyannote[1714].start 7671.67596875
transcript.pyannote[1714].end 7672.58721875
transcript.pyannote[1715].speaker SPEAKER_33
transcript.pyannote[1715].start 7672.72221875
transcript.pyannote[1715].end 7674.98346875
transcript.pyannote[1716].speaker SPEAKER_33
transcript.pyannote[1716].start 7675.92846875
transcript.pyannote[1716].end 7676.63721875
transcript.pyannote[1717].speaker SPEAKER_33
transcript.pyannote[1717].start 7677.16034375
transcript.pyannote[1717].end 7678.29096875
transcript.pyannote[1718].speaker SPEAKER_33
transcript.pyannote[1718].start 7678.66221875
transcript.pyannote[1718].end 7681.32846875
transcript.pyannote[1719].speaker SPEAKER_33
transcript.pyannote[1719].start 7682.07096875
transcript.pyannote[1719].end 7683.06659375
transcript.pyannote[1720].speaker SPEAKER_33
transcript.pyannote[1720].start 7683.99471875
transcript.pyannote[1720].end 7686.96471875
transcript.pyannote[1721].speaker SPEAKER_33
transcript.pyannote[1721].start 7687.30221875
transcript.pyannote[1721].end 7689.61409375
transcript.pyannote[1722].speaker SPEAKER_33
transcript.pyannote[1722].start 7690.01909375
transcript.pyannote[1722].end 7690.72784375
transcript.pyannote[1723].speaker SPEAKER_33
transcript.pyannote[1723].start 7691.97659375
transcript.pyannote[1723].end 7692.88784375
transcript.pyannote[1724].speaker SPEAKER_10
transcript.pyannote[1724].start 7692.88784375
transcript.pyannote[1724].end 7696.39784375
transcript.pyannote[1725].speaker SPEAKER_10
transcript.pyannote[1725].start 7696.81971875
transcript.pyannote[1725].end 7699.62096875
transcript.pyannote[1726].speaker SPEAKER_33
transcript.pyannote[1726].start 7699.75596875
transcript.pyannote[1726].end 7700.21159375
transcript.pyannote[1727].speaker SPEAKER_33
transcript.pyannote[1727].start 7700.44784375
transcript.pyannote[1727].end 7702.37159375
transcript.pyannote[1728].speaker SPEAKER_33
transcript.pyannote[1728].start 7702.65846875
transcript.pyannote[1728].end 7706.40471875
transcript.pyannote[1729].speaker SPEAKER_33
transcript.pyannote[1729].start 7707.01221875
transcript.pyannote[1729].end 7707.87284375
transcript.pyannote[1730].speaker SPEAKER_33
transcript.pyannote[1730].start 7708.64909375
transcript.pyannote[1730].end 7709.52659375
transcript.pyannote[1731].speaker SPEAKER_33
transcript.pyannote[1731].start 7710.15096875
transcript.pyannote[1731].end 7712.09159375
transcript.pyannote[1732].speaker SPEAKER_33
transcript.pyannote[1732].start 7712.68221875
transcript.pyannote[1732].end 7713.69471875
transcript.pyannote[1733].speaker SPEAKER_33
transcript.pyannote[1733].start 7714.08284375
transcript.pyannote[1733].end 7715.36534375
transcript.pyannote[1734].speaker SPEAKER_33
transcript.pyannote[1734].start 7716.00659375
transcript.pyannote[1734].end 7717.30596875
transcript.pyannote[1735].speaker SPEAKER_33
transcript.pyannote[1735].start 7717.76159375
transcript.pyannote[1735].end 7720.00596875
transcript.pyannote[1736].speaker SPEAKER_33
transcript.pyannote[1736].start 7720.46159375
transcript.pyannote[1736].end 7727.24534375
transcript.pyannote[1737].speaker SPEAKER_09
transcript.pyannote[1737].start 7727.59971875
transcript.pyannote[1737].end 7728.07221875
transcript.pyannote[1738].speaker SPEAKER_33
transcript.pyannote[1738].start 7728.37596875
transcript.pyannote[1738].end 7733.11784375
transcript.pyannote[1739].speaker SPEAKER_33
transcript.pyannote[1739].start 7734.24846875
transcript.pyannote[1739].end 7738.80471875
transcript.pyannote[1740].speaker SPEAKER_33
transcript.pyannote[1740].start 7740.27284375
transcript.pyannote[1740].end 7742.24721875
transcript.pyannote[1741].speaker SPEAKER_33
transcript.pyannote[1741].start 7743.14159375
transcript.pyannote[1741].end 7745.94284375
transcript.pyannote[1742].speaker SPEAKER_33
transcript.pyannote[1742].start 7747.22534375
transcript.pyannote[1742].end 7750.56659375
transcript.pyannote[1743].speaker SPEAKER_33
transcript.pyannote[1743].start 7750.78596875
transcript.pyannote[1743].end 7751.34284375
transcript.pyannote[1744].speaker SPEAKER_33
transcript.pyannote[1744].start 7751.64659375
transcript.pyannote[1744].end 7752.38909375
transcript.pyannote[1745].speaker SPEAKER_33
transcript.pyannote[1745].start 7752.50721875
transcript.pyannote[1745].end 7753.19909375
transcript.pyannote[1746].speaker SPEAKER_33
transcript.pyannote[1746].start 7753.41846875
transcript.pyannote[1746].end 7755.54471875
transcript.pyannote[1747].speaker SPEAKER_33
transcript.pyannote[1747].start 7756.01721875
transcript.pyannote[1747].end 7757.65409375
transcript.pyannote[1748].speaker SPEAKER_33
transcript.pyannote[1748].start 7758.39659375
transcript.pyannote[1748].end 7760.42159375
transcript.pyannote[1749].speaker SPEAKER_33
transcript.pyannote[1749].start 7760.84346875
transcript.pyannote[1749].end 7762.34534375
transcript.pyannote[1750].speaker SPEAKER_33
transcript.pyannote[1750].start 7763.20596875
transcript.pyannote[1750].end 7766.46284375
transcript.pyannote[1751].speaker SPEAKER_10
transcript.pyannote[1751].start 7764.96096875
transcript.pyannote[1751].end 7766.29409375
transcript.pyannote[1752].speaker SPEAKER_33
transcript.pyannote[1752].start 7766.81721875
transcript.pyannote[1752].end 7768.45409375
transcript.pyannote[1753].speaker SPEAKER_33
transcript.pyannote[1753].start 7768.47096875
transcript.pyannote[1753].end 7768.48784375
transcript.pyannote[1754].speaker SPEAKER_33
transcript.pyannote[1754].start 7768.50471875
transcript.pyannote[1754].end 7771.32284375
transcript.pyannote[1755].speaker SPEAKER_33
transcript.pyannote[1755].start 7771.62659375
transcript.pyannote[1755].end 7772.70659375
transcript.pyannote[1756].speaker SPEAKER_10
transcript.pyannote[1756].start 7772.82471875
transcript.pyannote[1756].end 7774.42784375
transcript.pyannote[1757].speaker SPEAKER_10
transcript.pyannote[1757].start 7774.49534375
transcript.pyannote[1757].end 7780.14846875
transcript.pyannote[1758].speaker SPEAKER_33
transcript.pyannote[1758].start 7779.23721875
transcript.pyannote[1758].end 7779.60846875
transcript.pyannote[1759].speaker SPEAKER_33
transcript.pyannote[1759].start 7780.38471875
transcript.pyannote[1759].end 7781.02596875
transcript.pyannote[1760].speaker SPEAKER_10
transcript.pyannote[1760].start 7781.02596875
transcript.pyannote[1760].end 7782.73034375
transcript.pyannote[1761].speaker SPEAKER_33
transcript.pyannote[1761].start 7782.73034375
transcript.pyannote[1761].end 7783.79346875
transcript.pyannote[1762].speaker SPEAKER_10
transcript.pyannote[1762].start 7782.79784375
transcript.pyannote[1762].end 7785.10971875
transcript.pyannote[1763].speaker SPEAKER_33
transcript.pyannote[1763].start 7784.24909375
transcript.pyannote[1763].end 7789.59846875
transcript.pyannote[1764].speaker SPEAKER_10
transcript.pyannote[1764].start 7788.61971875
transcript.pyannote[1764].end 7790.93159375
transcript.pyannote[1765].speaker SPEAKER_33
transcript.pyannote[1765].start 7789.95284375
transcript.pyannote[1765].end 7790.96534375
transcript.pyannote[1766].speaker SPEAKER_10
transcript.pyannote[1766].start 7790.96534375
transcript.pyannote[1766].end 7790.98221875
transcript.pyannote[1767].speaker SPEAKER_33
transcript.pyannote[1767].start 7790.98221875
transcript.pyannote[1767].end 7791.06659375
transcript.pyannote[1768].speaker SPEAKER_10
transcript.pyannote[1768].start 7791.06659375
transcript.pyannote[1768].end 7793.95221875
transcript.pyannote[1769].speaker SPEAKER_33
transcript.pyannote[1769].start 7792.72034375
transcript.pyannote[1769].end 7794.17159375
transcript.pyannote[1770].speaker SPEAKER_33
transcript.pyannote[1770].start 7794.84659375
transcript.pyannote[1770].end 7799.11596875
transcript.pyannote[1771].speaker SPEAKER_10
transcript.pyannote[1771].start 7795.08284375
transcript.pyannote[1771].end 7795.18409375
transcript.pyannote[1772].speaker SPEAKER_33
transcript.pyannote[1772].start 7799.77409375
transcript.pyannote[1772].end 7800.61784375
transcript.pyannote[1773].speaker SPEAKER_33
transcript.pyannote[1773].start 7800.98909375
transcript.pyannote[1773].end 7804.54971875
transcript.pyannote[1774].speaker SPEAKER_33
transcript.pyannote[1774].start 7805.41034375
transcript.pyannote[1774].end 7808.38034375
transcript.pyannote[1775].speaker SPEAKER_33
transcript.pyannote[1775].start 7808.90346875
transcript.pyannote[1775].end 7811.92409375
transcript.pyannote[1776].speaker SPEAKER_33
transcript.pyannote[1776].start 7812.70034375
transcript.pyannote[1776].end 7813.62846875
transcript.pyannote[1777].speaker SPEAKER_33
transcript.pyannote[1777].start 7814.42159375
transcript.pyannote[1777].end 7815.75471875
transcript.pyannote[1778].speaker SPEAKER_33
transcript.pyannote[1778].start 7816.04159375
transcript.pyannote[1778].end 7817.91471875
transcript.pyannote[1779].speaker SPEAKER_33
transcript.pyannote[1779].start 7818.45471875
transcript.pyannote[1779].end 7821.64409375
transcript.pyannote[1780].speaker SPEAKER_33
transcript.pyannote[1780].start 7821.71159375
transcript.pyannote[1780].end 7822.77471875
transcript.pyannote[1781].speaker SPEAKER_33
transcript.pyannote[1781].start 7823.01096875
transcript.pyannote[1781].end 7825.03596875
transcript.pyannote[1782].speaker SPEAKER_33
transcript.pyannote[1782].start 7825.18784375
transcript.pyannote[1782].end 7825.76159375
transcript.pyannote[1783].speaker SPEAKER_33
transcript.pyannote[1783].start 7826.13284375
transcript.pyannote[1783].end 7827.80346875
transcript.pyannote[1784].speaker SPEAKER_10
transcript.pyannote[1784].start 7828.14096875
transcript.pyannote[1784].end 7830.38534375
transcript.pyannote[1785].speaker SPEAKER_33
transcript.pyannote[1785].start 7829.17034375
transcript.pyannote[1785].end 7831.97159375
transcript.pyannote[1786].speaker SPEAKER_33
transcript.pyannote[1786].start 7832.37659375
transcript.pyannote[1786].end 7842.19784375
transcript.pyannote[1787].speaker SPEAKER_33
transcript.pyannote[1787].start 7842.82221875
transcript.pyannote[1787].end 7844.05409375
transcript.pyannote[1788].speaker SPEAKER_33
transcript.pyannote[1788].start 7844.54346875
transcript.pyannote[1788].end 7846.61909375
transcript.pyannote[1789].speaker SPEAKER_33
transcript.pyannote[1789].start 7846.88909375
transcript.pyannote[1789].end 7847.98596875
transcript.pyannote[1790].speaker SPEAKER_33
transcript.pyannote[1790].start 7848.39096875
transcript.pyannote[1790].end 7850.19659375
transcript.pyannote[1791].speaker SPEAKER_33
transcript.pyannote[1791].start 7850.75346875
transcript.pyannote[1791].end 7851.56346875
transcript.pyannote[1792].speaker SPEAKER_33
transcript.pyannote[1792].start 7852.03596875
transcript.pyannote[1792].end 7853.85846875
transcript.pyannote[1793].speaker SPEAKER_33
transcript.pyannote[1793].start 7854.22971875
transcript.pyannote[1793].end 7854.90471875
transcript.pyannote[1794].speaker SPEAKER_10
transcript.pyannote[1794].start 7856.20409375
transcript.pyannote[1794].end 7858.17846875
transcript.pyannote[1795].speaker SPEAKER_10
transcript.pyannote[1795].start 7858.19534375
transcript.pyannote[1795].end 7859.00534375
transcript.pyannote[1796].speaker SPEAKER_10
transcript.pyannote[1796].start 7859.30909375
transcript.pyannote[1796].end 7864.25346875
transcript.pyannote[1797].speaker SPEAKER_10
transcript.pyannote[1797].start 7864.30409375
transcript.pyannote[1797].end 7865.53596875
transcript.pyannote[1798].speaker SPEAKER_33
transcript.pyannote[1798].start 7864.87784375
transcript.pyannote[1798].end 7866.66659375
transcript.pyannote[1799].speaker SPEAKER_33
transcript.pyannote[1799].start 7867.20659375
transcript.pyannote[1799].end 7872.28596875
transcript.pyannote[1800].speaker SPEAKER_33
transcript.pyannote[1800].start 7872.47159375
transcript.pyannote[1800].end 7873.01159375
transcript.pyannote[1801].speaker SPEAKER_33
transcript.pyannote[1801].start 7873.66971875
transcript.pyannote[1801].end 7874.76659375
transcript.pyannote[1802].speaker SPEAKER_33
transcript.pyannote[1802].start 7875.08721875
transcript.pyannote[1802].end 7876.65659375
transcript.pyannote[1803].speaker SPEAKER_33
transcript.pyannote[1803].start 7877.14596875
transcript.pyannote[1803].end 7878.79971875
transcript.pyannote[1804].speaker SPEAKER_33
transcript.pyannote[1804].start 7879.32284375
transcript.pyannote[1804].end 7884.92534375
transcript.pyannote[1805].speaker SPEAKER_10
transcript.pyannote[1805].start 7882.63034375
transcript.pyannote[1805].end 7883.03534375
transcript.pyannote[1806].speaker SPEAKER_10
transcript.pyannote[1806].start 7884.06471875
transcript.pyannote[1806].end 7887.64221875
transcript.pyannote[1807].speaker SPEAKER_33
transcript.pyannote[1807].start 7885.92096875
transcript.pyannote[1807].end 7886.74784375
transcript.pyannote[1808].speaker SPEAKER_33
transcript.pyannote[1808].start 7887.13596875
transcript.pyannote[1808].end 7889.49846875
transcript.pyannote[1809].speaker SPEAKER_33
transcript.pyannote[1809].start 7890.29159375
transcript.pyannote[1809].end 7894.05471875
transcript.pyannote[1810].speaker SPEAKER_33
transcript.pyannote[1810].start 7894.67909375
transcript.pyannote[1810].end 7895.59034375
transcript.pyannote[1811].speaker SPEAKER_33
transcript.pyannote[1811].start 7895.79284375
transcript.pyannote[1811].end 7898.29034375
transcript.pyannote[1812].speaker SPEAKER_33
transcript.pyannote[1812].start 7898.62784375
transcript.pyannote[1812].end 7900.58534375
transcript.pyannote[1813].speaker SPEAKER_33
transcript.pyannote[1813].start 7901.19284375
transcript.pyannote[1813].end 7902.00284375
transcript.pyannote[1814].speaker SPEAKER_33
transcript.pyannote[1814].start 7902.12096875
transcript.pyannote[1814].end 7905.14159375
transcript.pyannote[1815].speaker SPEAKER_33
transcript.pyannote[1815].start 7905.68159375
transcript.pyannote[1815].end 7914.59159375
transcript.pyannote[1816].speaker SPEAKER_33
transcript.pyannote[1816].start 7915.08096875
transcript.pyannote[1816].end 7918.35471875
transcript.pyannote[1817].speaker SPEAKER_33
transcript.pyannote[1817].start 7919.28284375
transcript.pyannote[1817].end 7920.37971875
transcript.pyannote[1818].speaker SPEAKER_10
transcript.pyannote[1818].start 7921.64534375
transcript.pyannote[1818].end 7921.84784375
transcript.pyannote[1819].speaker SPEAKER_33
transcript.pyannote[1819].start 7921.84784375
transcript.pyannote[1819].end 7923.28221875
transcript.pyannote[1820].speaker SPEAKER_10
transcript.pyannote[1820].start 7923.02909375
transcript.pyannote[1820].end 7923.09659375
transcript.pyannote[1821].speaker SPEAKER_10
transcript.pyannote[1821].start 7923.28221875
transcript.pyannote[1821].end 7924.66596875
transcript.pyannote[1822].speaker SPEAKER_33
transcript.pyannote[1822].start 7924.24409375
transcript.pyannote[1822].end 7926.45471875
transcript.pyannote[1823].speaker SPEAKER_33
transcript.pyannote[1823].start 7927.02846875
transcript.pyannote[1823].end 7927.80471875
transcript.pyannote[1824].speaker SPEAKER_33
transcript.pyannote[1824].start 7928.12534375
transcript.pyannote[1824].end 7929.59346875
transcript.pyannote[1825].speaker SPEAKER_33
transcript.pyannote[1825].start 7930.26846875
transcript.pyannote[1825].end 7931.70284375
transcript.pyannote[1826].speaker SPEAKER_33
transcript.pyannote[1826].start 7932.51284375
transcript.pyannote[1826].end 7933.22159375
transcript.pyannote[1827].speaker SPEAKER_33
transcript.pyannote[1827].start 7933.67721875
transcript.pyannote[1827].end 7935.49971875
transcript.pyannote[1828].speaker SPEAKER_33
transcript.pyannote[1828].start 7935.73596875
transcript.pyannote[1828].end 7936.41096875
transcript.pyannote[1829].speaker SPEAKER_33
transcript.pyannote[1829].start 7937.00159375
transcript.pyannote[1829].end 7938.38534375
transcript.pyannote[1830].speaker SPEAKER_33
transcript.pyannote[1830].start 7939.06034375
transcript.pyannote[1830].end 7940.08971875
transcript.pyannote[1831].speaker SPEAKER_33
transcript.pyannote[1831].start 7940.59596875
transcript.pyannote[1831].end 7943.36346875
transcript.pyannote[1832].speaker SPEAKER_33
transcript.pyannote[1832].start 7943.39721875
transcript.pyannote[1832].end 7944.22409375
transcript.pyannote[1833].speaker SPEAKER_33
transcript.pyannote[1833].start 7945.01721875
transcript.pyannote[1833].end 7946.89034375
transcript.pyannote[1834].speaker SPEAKER_33
transcript.pyannote[1834].start 7947.59909375
transcript.pyannote[1834].end 7949.05034375
transcript.pyannote[1835].speaker SPEAKER_33
transcript.pyannote[1835].start 7950.18096875
transcript.pyannote[1835].end 7951.09221875
transcript.pyannote[1836].speaker SPEAKER_33
transcript.pyannote[1836].start 7951.88534375
transcript.pyannote[1836].end 7954.87221875
transcript.pyannote[1837].speaker SPEAKER_33
transcript.pyannote[1837].start 7955.73284375
transcript.pyannote[1837].end 7957.75784375
transcript.pyannote[1838].speaker SPEAKER_33
transcript.pyannote[1838].start 7958.24721875
transcript.pyannote[1838].end 7959.69846875
transcript.pyannote[1839].speaker SPEAKER_33
transcript.pyannote[1839].start 7960.03596875
transcript.pyannote[1839].end 7961.70659375
transcript.pyannote[1840].speaker SPEAKER_33
transcript.pyannote[1840].start 7962.39846875
transcript.pyannote[1840].end 7964.01846875
transcript.pyannote[1841].speaker SPEAKER_33
transcript.pyannote[1841].start 7964.44034375
transcript.pyannote[1841].end 7966.06034375
transcript.pyannote[1842].speaker SPEAKER_33
transcript.pyannote[1842].start 7966.54971875
transcript.pyannote[1842].end 7969.19909375
transcript.pyannote[1843].speaker SPEAKER_33
transcript.pyannote[1843].start 7970.34659375
transcript.pyannote[1843].end 7974.00846875
transcript.pyannote[1844].speaker SPEAKER_33
transcript.pyannote[1844].start 7974.54846875
transcript.pyannote[1844].end 7976.06721875
transcript.pyannote[1845].speaker SPEAKER_33
transcript.pyannote[1845].start 7976.43846875
transcript.pyannote[1845].end 7981.36596875
transcript.pyannote[1846].speaker SPEAKER_33
transcript.pyannote[1846].start 7981.88909375
transcript.pyannote[1846].end 7983.27284375
transcript.pyannote[1847].speaker SPEAKER_33
transcript.pyannote[1847].start 7983.55971875
transcript.pyannote[1847].end 7984.79159375
transcript.pyannote[1848].speaker SPEAKER_33
transcript.pyannote[1848].start 7985.14596875
transcript.pyannote[1848].end 7986.52971875
transcript.pyannote[1849].speaker SPEAKER_33
transcript.pyannote[1849].start 7986.83346875
transcript.pyannote[1849].end 7987.77846875
transcript.pyannote[1850].speaker SPEAKER_33
transcript.pyannote[1850].start 7988.50409375
transcript.pyannote[1850].end 7989.11159375
transcript.pyannote[1851].speaker SPEAKER_33
transcript.pyannote[1851].start 7990.03971875
transcript.pyannote[1851].end 7991.40659375
transcript.pyannote[1852].speaker SPEAKER_33
transcript.pyannote[1852].start 7992.13221875
transcript.pyannote[1852].end 7992.41909375
transcript.pyannote[1853].speaker SPEAKER_10
transcript.pyannote[1853].start 7993.00971875
transcript.pyannote[1853].end 7999.15221875
transcript.pyannote[1854].speaker SPEAKER_33
transcript.pyannote[1854].start 7997.29596875
transcript.pyannote[1854].end 7998.13971875
transcript.pyannote[1855].speaker SPEAKER_33
transcript.pyannote[1855].start 7999.86096875
transcript.pyannote[1855].end 8001.10971875
transcript.pyannote[1856].speaker SPEAKER_10
transcript.pyannote[1856].start 8000.51909375
transcript.pyannote[1856].end 8001.85221875
transcript.pyannote[1857].speaker SPEAKER_33
transcript.pyannote[1857].start 8001.85221875
transcript.pyannote[1857].end 8003.53971875
transcript.pyannote[1858].speaker SPEAKER_10
transcript.pyannote[1858].start 8002.71284375
transcript.pyannote[1858].end 8006.66159375
transcript.pyannote[1859].speaker SPEAKER_33
transcript.pyannote[1859].start 8005.14284375
transcript.pyannote[1859].end 8006.05409375
transcript.pyannote[1860].speaker SPEAKER_33
transcript.pyannote[1860].start 8006.45909375
transcript.pyannote[1860].end 8007.77534375
transcript.pyannote[1861].speaker SPEAKER_10
transcript.pyannote[1861].start 8008.26471875
transcript.pyannote[1861].end 8008.78784375
transcript.pyannote[1862].speaker SPEAKER_33
transcript.pyannote[1862].start 8008.31534375
transcript.pyannote[1862].end 8009.96909375
transcript.pyannote[1863].speaker SPEAKER_10
transcript.pyannote[1863].start 8009.07471875
transcript.pyannote[1863].end 8018.25471875
transcript.pyannote[1864].speaker SPEAKER_33
transcript.pyannote[1864].start 8017.49534375
transcript.pyannote[1864].end 8019.08159375
transcript.pyannote[1865].speaker SPEAKER_10
transcript.pyannote[1865].start 8018.69346875
transcript.pyannote[1865].end 8019.30096875
transcript.pyannote[1866].speaker SPEAKER_33
transcript.pyannote[1866].start 8019.31784375
transcript.pyannote[1866].end 8022.55784375
transcript.pyannote[1867].speaker SPEAKER_33
transcript.pyannote[1867].start 8022.91221875
transcript.pyannote[1867].end 8024.88659375
transcript.pyannote[1868].speaker SPEAKER_38
transcript.pyannote[1868].start 8024.09346875
transcript.pyannote[1868].end 8027.43471875
transcript.pyannote[1869].speaker SPEAKER_33
transcript.pyannote[1869].start 8026.94534375
transcript.pyannote[1869].end 8029.03784375
transcript.pyannote[1870].speaker SPEAKER_38
transcript.pyannote[1870].start 8028.56534375
transcript.pyannote[1870].end 8031.67034375
transcript.pyannote[1871].speaker SPEAKER_33
transcript.pyannote[1871].start 8029.17284375
transcript.pyannote[1871].end 8031.95721875
transcript.pyannote[1872].speaker SPEAKER_38
transcript.pyannote[1872].start 8031.85596875
transcript.pyannote[1872].end 8033.54346875
transcript.pyannote[1873].speaker SPEAKER_33
transcript.pyannote[1873].start 8032.42971875
transcript.pyannote[1873].end 8033.47596875
transcript.pyannote[1874].speaker SPEAKER_38
transcript.pyannote[1874].start 8034.15096875
transcript.pyannote[1874].end 8043.31409375
transcript.pyannote[1875].speaker SPEAKER_33
transcript.pyannote[1875].start 8040.41159375
transcript.pyannote[1875].end 8045.91284375
transcript.pyannote[1876].speaker SPEAKER_33
transcript.pyannote[1876].start 8046.25034375
transcript.pyannote[1876].end 8049.77721875
transcript.pyannote[1877].speaker SPEAKER_33
transcript.pyannote[1877].start 8050.08096875
transcript.pyannote[1877].end 8051.16096875
transcript.pyannote[1878].speaker SPEAKER_10
transcript.pyannote[1878].start 8052.02159375
transcript.pyannote[1878].end 8057.97846875
transcript.pyannote[1879].speaker SPEAKER_33
transcript.pyannote[1879].start 8057.97846875
transcript.pyannote[1879].end 8057.99534375
transcript.pyannote[1880].speaker SPEAKER_10
transcript.pyannote[1880].start 8057.99534375
transcript.pyannote[1880].end 8058.02909375
transcript.pyannote[1881].speaker SPEAKER_33
transcript.pyannote[1881].start 8058.02909375
transcript.pyannote[1881].end 8060.05409375
transcript.pyannote[1882].speaker SPEAKER_10
transcript.pyannote[1882].start 8058.07971875
transcript.pyannote[1882].end 8059.78409375
transcript.pyannote[1883].speaker SPEAKER_10
transcript.pyannote[1883].start 8059.80096875
transcript.pyannote[1883].end 8059.86846875
transcript.pyannote[1884].speaker SPEAKER_33
transcript.pyannote[1884].start 8060.32409375
transcript.pyannote[1884].end 8063.54721875
transcript.pyannote[1885].speaker SPEAKER_33
transcript.pyannote[1885].start 8065.04909375
transcript.pyannote[1885].end 8069.13284375
transcript.pyannote[1886].speaker SPEAKER_33
transcript.pyannote[1886].start 8070.04409375
transcript.pyannote[1886].end 8071.66409375
transcript.pyannote[1887].speaker SPEAKER_33
transcript.pyannote[1887].start 8072.32221875
transcript.pyannote[1887].end 8074.56659375
transcript.pyannote[1888].speaker SPEAKER_33
transcript.pyannote[1888].start 8075.07284375
transcript.pyannote[1888].end 8077.01346875
transcript.pyannote[1889].speaker SPEAKER_33
transcript.pyannote[1889].start 8077.67159375
transcript.pyannote[1889].end 8079.03846875
transcript.pyannote[1890].speaker SPEAKER_33
transcript.pyannote[1890].start 8079.29159375
transcript.pyannote[1890].end 8080.30409375
transcript.pyannote[1891].speaker SPEAKER_33
transcript.pyannote[1891].start 8081.01284375
transcript.pyannote[1891].end 8082.70034375
transcript.pyannote[1892].speaker SPEAKER_33
transcript.pyannote[1892].start 8083.49346875
transcript.pyannote[1892].end 8084.10096875
transcript.pyannote[1893].speaker SPEAKER_33
transcript.pyannote[1893].start 8084.65784375
transcript.pyannote[1893].end 8086.69971875
transcript.pyannote[1894].speaker SPEAKER_33
transcript.pyannote[1894].start 8087.59409375
transcript.pyannote[1894].end 8088.77534375
transcript.pyannote[1895].speaker SPEAKER_10
transcript.pyannote[1895].start 8089.95659375
transcript.pyannote[1895].end 8092.60596875
transcript.pyannote[1896].speaker SPEAKER_33
transcript.pyannote[1896].start 8093.06159375
transcript.pyannote[1896].end 8093.88846875
transcript.pyannote[1897].speaker SPEAKER_10
transcript.pyannote[1897].start 8093.88846875
transcript.pyannote[1897].end 8094.24284375
transcript.pyannote[1898].speaker SPEAKER_33
transcript.pyannote[1898].start 8094.24284375
transcript.pyannote[1898].end 8095.27221875
transcript.pyannote[1899].speaker SPEAKER_10
transcript.pyannote[1899].start 8094.25971875
transcript.pyannote[1899].end 8094.96846875
transcript.pyannote[1900].speaker SPEAKER_10
transcript.pyannote[1900].start 8095.27221875
transcript.pyannote[1900].end 8095.35659375
transcript.pyannote[1901].speaker SPEAKER_10
transcript.pyannote[1901].start 8095.67721875
transcript.pyannote[1901].end 8096.87534375
transcript.pyannote[1902].speaker SPEAKER_33
transcript.pyannote[1902].start 8096.40284375
transcript.pyannote[1902].end 8097.33096875
transcript.pyannote[1903].speaker SPEAKER_10
transcript.pyannote[1903].start 8097.33096875
transcript.pyannote[1903].end 8102.39346875
transcript.pyannote[1904].speaker SPEAKER_10
transcript.pyannote[1904].start 8102.51159375
transcript.pyannote[1904].end 8105.32971875
transcript.pyannote[1905].speaker SPEAKER_10
transcript.pyannote[1905].start 8105.46471875
transcript.pyannote[1905].end 8108.24909375
transcript.pyannote[1906].speaker SPEAKER_10
transcript.pyannote[1906].start 8108.41784375
transcript.pyannote[1906].end 8109.22784375
transcript.pyannote[1907].speaker SPEAKER_10
transcript.pyannote[1907].start 8109.51471875
transcript.pyannote[1907].end 8113.34534375
transcript.pyannote[1908].speaker SPEAKER_10
transcript.pyannote[1908].start 8113.61534375
transcript.pyannote[1908].end 8116.01159375
transcript.pyannote[1909].speaker SPEAKER_10
transcript.pyannote[1909].start 8116.18034375
transcript.pyannote[1909].end 8119.01534375
transcript.pyannote[1910].speaker SPEAKER_10
transcript.pyannote[1910].start 8119.23471875
transcript.pyannote[1910].end 8120.65221875
transcript.pyannote[1911].speaker SPEAKER_10
transcript.pyannote[1911].start 8120.87159375
transcript.pyannote[1911].end 8121.71534375
transcript.pyannote[1912].speaker SPEAKER_10
transcript.pyannote[1912].start 8122.05284375
transcript.pyannote[1912].end 8123.35221875
transcript.pyannote[1913].speaker SPEAKER_10
transcript.pyannote[1913].start 8123.62221875
transcript.pyannote[1913].end 8124.78659375
transcript.pyannote[1914].speaker SPEAKER_10
transcript.pyannote[1914].start 8124.88784375
transcript.pyannote[1914].end 8126.25471875
transcript.pyannote[1915].speaker SPEAKER_10
transcript.pyannote[1915].start 8126.45721875
transcript.pyannote[1915].end 8128.31346875
transcript.pyannote[1916].speaker SPEAKER_10
transcript.pyannote[1916].start 8128.66784375
transcript.pyannote[1916].end 8130.57471875
transcript.pyannote[1917].speaker SPEAKER_10
transcript.pyannote[1917].start 8130.60846875
transcript.pyannote[1917].end 8138.65784375
transcript.pyannote[1918].speaker SPEAKER_10
transcript.pyannote[1918].start 8138.96159375
transcript.pyannote[1918].end 8147.43284375
transcript.pyannote[1919].speaker SPEAKER_33
transcript.pyannote[1919].start 8148.04034375
transcript.pyannote[1919].end 8150.03159375
transcript.pyannote[1920].speaker SPEAKER_10
transcript.pyannote[1920].start 8150.03159375
transcript.pyannote[1920].end 8160.05534375
transcript.pyannote[1921].speaker SPEAKER_33
transcript.pyannote[1921].start 8153.69346875
transcript.pyannote[1921].end 8154.41909375
transcript.pyannote[1922].speaker SPEAKER_33
transcript.pyannote[1922].start 8155.26284375
transcript.pyannote[1922].end 8155.97159375
transcript.pyannote[1923].speaker SPEAKER_33
transcript.pyannote[1923].start 8160.05534375
transcript.pyannote[1923].end 8161.94534375
transcript.pyannote[1924].speaker SPEAKER_10
transcript.pyannote[1924].start 8161.94534375
transcript.pyannote[1924].end 8163.31221875
transcript.pyannote[1925].speaker SPEAKER_33
transcript.pyannote[1925].start 8162.04659375
transcript.pyannote[1925].end 8162.53596875
transcript.pyannote[1926].speaker SPEAKER_33
transcript.pyannote[1926].start 8163.78471875
transcript.pyannote[1926].end 8165.50596875
transcript.pyannote[1927].speaker SPEAKER_33
transcript.pyannote[1927].start 8165.77596875
transcript.pyannote[1927].end 8172.22221875
transcript.pyannote[1928].speaker SPEAKER_33
transcript.pyannote[1928].start 8172.61034375
transcript.pyannote[1928].end 8174.70284375
transcript.pyannote[1929].speaker SPEAKER_33
transcript.pyannote[1929].start 8175.31034375
transcript.pyannote[1929].end 8177.25096875
transcript.pyannote[1930].speaker SPEAKER_33
transcript.pyannote[1930].start 8177.94284375
transcript.pyannote[1930].end 8178.51659375
transcript.pyannote[1931].speaker SPEAKER_10
transcript.pyannote[1931].start 8178.51659375
transcript.pyannote[1931].end 8178.53346875
transcript.pyannote[1932].speaker SPEAKER_33
transcript.pyannote[1932].start 8178.53346875
transcript.pyannote[1932].end 8178.55034375
transcript.pyannote[1933].speaker SPEAKER_10
transcript.pyannote[1933].start 8178.55034375
transcript.pyannote[1933].end 8179.54596875
transcript.pyannote[1934].speaker SPEAKER_33
transcript.pyannote[1934].start 8178.70221875
transcript.pyannote[1934].end 8179.39409375
transcript.pyannote[1935].speaker SPEAKER_10
transcript.pyannote[1935].start 8179.95096875
transcript.pyannote[1935].end 8182.53284375
transcript.pyannote[1936].speaker SPEAKER_10
transcript.pyannote[1936].start 8182.68471875
transcript.pyannote[1936].end 8184.94596875
transcript.pyannote[1937].speaker SPEAKER_33
transcript.pyannote[1937].start 8183.35971875
transcript.pyannote[1937].end 8186.22846875
transcript.pyannote[1938].speaker SPEAKER_33
transcript.pyannote[1938].start 8186.56596875
transcript.pyannote[1938].end 8188.11846875
transcript.pyannote[1939].speaker SPEAKER_10
transcript.pyannote[1939].start 8187.03846875
transcript.pyannote[1939].end 8187.66284375
transcript.pyannote[1940].speaker SPEAKER_33
transcript.pyannote[1940].start 8188.75971875
transcript.pyannote[1940].end 8192.96159375
transcript.pyannote[1941].speaker SPEAKER_10
transcript.pyannote[1941].start 8189.21534375
transcript.pyannote[1941].end 8189.95784375
transcript.pyannote[1942].speaker SPEAKER_33
transcript.pyannote[1942].start 8193.29909375
transcript.pyannote[1942].end 8193.97409375
transcript.pyannote[1943].speaker SPEAKER_33
transcript.pyannote[1943].start 8194.98659375
transcript.pyannote[1943].end 8197.33221875
transcript.pyannote[1944].speaker SPEAKER_33
transcript.pyannote[1944].start 8197.60221875
transcript.pyannote[1944].end 8200.09971875
transcript.pyannote[1945].speaker SPEAKER_33
transcript.pyannote[1945].start 8201.06159375
transcript.pyannote[1945].end 8204.14971875
transcript.pyannote[1946].speaker SPEAKER_33
transcript.pyannote[1946].start 8204.48721875
transcript.pyannote[1946].end 8211.55784375
transcript.pyannote[1947].speaker SPEAKER_36
transcript.pyannote[1947].start 8206.73159375
transcript.pyannote[1947].end 8207.22096875
transcript.pyannote[1948].speaker SPEAKER_33
transcript.pyannote[1948].start 8211.96284375
transcript.pyannote[1948].end 8219.57346875
transcript.pyannote[1949].speaker SPEAKER_33
transcript.pyannote[1949].start 8219.91096875
transcript.pyannote[1949].end 8223.80909375
transcript.pyannote[1950].speaker SPEAKER_33
transcript.pyannote[1950].start 8224.63596875
transcript.pyannote[1950].end 8224.88909375
transcript.pyannote[1951].speaker SPEAKER_33
transcript.pyannote[1951].start 8225.64846875
transcript.pyannote[1951].end 8227.33596875
transcript.pyannote[1952].speaker SPEAKER_33
transcript.pyannote[1952].start 8227.48784375
transcript.pyannote[1952].end 8229.32721875
transcript.pyannote[1953].speaker SPEAKER_33
transcript.pyannote[1953].start 8229.85034375
transcript.pyannote[1953].end 8230.94721875
transcript.pyannote[1954].speaker SPEAKER_33
transcript.pyannote[1954].start 8231.47034375
transcript.pyannote[1954].end 8232.48284375
transcript.pyannote[1955].speaker SPEAKER_33
transcript.pyannote[1955].start 8232.76971875
transcript.pyannote[1955].end 8237.03909375
transcript.pyannote[1956].speaker SPEAKER_33
transcript.pyannote[1956].start 8237.24159375
transcript.pyannote[1956].end 8241.07221875
transcript.pyannote[1957].speaker SPEAKER_10
transcript.pyannote[1957].start 8241.78096875
transcript.pyannote[1957].end 8249.98221875
transcript.pyannote[1958].speaker SPEAKER_33
transcript.pyannote[1958].start 8241.93284375
transcript.pyannote[1958].end 8242.33784375
transcript.pyannote[1959].speaker SPEAKER_10
transcript.pyannote[1959].start 8250.28596875
transcript.pyannote[1959].end 8251.90596875
transcript.pyannote[1960].speaker SPEAKER_10
transcript.pyannote[1960].start 8252.37846875
transcript.pyannote[1960].end 8253.37409375
transcript.pyannote[1961].speaker SPEAKER_10
transcript.pyannote[1961].start 8253.59346875
transcript.pyannote[1961].end 8255.17971875
transcript.pyannote[1962].speaker SPEAKER_10
transcript.pyannote[1962].start 8255.36534375
transcript.pyannote[1962].end 8256.14159375
transcript.pyannote[1963].speaker SPEAKER_10
transcript.pyannote[1963].start 8256.46221875
transcript.pyannote[1963].end 8257.22159375
transcript.pyannote[1964].speaker SPEAKER_10
transcript.pyannote[1964].start 8257.40721875
transcript.pyannote[1964].end 8259.48284375
transcript.pyannote[1965].speaker SPEAKER_10
transcript.pyannote[1965].start 8259.80346875
transcript.pyannote[1965].end 8262.06471875
transcript.pyannote[1966].speaker SPEAKER_10
transcript.pyannote[1966].start 8262.33471875
transcript.pyannote[1966].end 8268.20721875
transcript.pyannote[1967].speaker SPEAKER_33
transcript.pyannote[1967].start 8267.05971875
transcript.pyannote[1967].end 8273.96159375
transcript.pyannote[1968].speaker SPEAKER_33
transcript.pyannote[1968].start 8274.94034375
transcript.pyannote[1968].end 8277.67409375
transcript.pyannote[1969].speaker SPEAKER_33
transcript.pyannote[1969].start 8278.06221875
transcript.pyannote[1969].end 8278.46721875
transcript.pyannote[1970].speaker SPEAKER_10
transcript.pyannote[1970].start 8278.75409375
transcript.pyannote[1970].end 8287.25909375
transcript.pyannote[1971].speaker SPEAKER_10
transcript.pyannote[1971].start 8287.46159375
transcript.pyannote[1971].end 8289.62159375
transcript.pyannote[1972].speaker SPEAKER_10
transcript.pyannote[1972].start 8289.95909375
transcript.pyannote[1972].end 8292.43971875
transcript.pyannote[1973].speaker SPEAKER_33
transcript.pyannote[1973].start 8292.62534375
transcript.pyannote[1973].end 8294.98784375
transcript.pyannote[1974].speaker SPEAKER_33
transcript.pyannote[1974].start 8295.57846875
transcript.pyannote[1974].end 8298.00846875
transcript.pyannote[1975].speaker SPEAKER_33
transcript.pyannote[1975].start 8298.32909375
transcript.pyannote[1975].end 8299.69596875
transcript.pyannote[1976].speaker SPEAKER_33
transcript.pyannote[1976].start 8301.60284375
transcript.pyannote[1976].end 8302.53096875
transcript.pyannote[1977].speaker SPEAKER_33
transcript.pyannote[1977].start 8303.12159375
transcript.pyannote[1977].end 8304.06659375
transcript.pyannote[1978].speaker SPEAKER_33
transcript.pyannote[1978].start 8304.72471875
transcript.pyannote[1978].end 8306.96909375
transcript.pyannote[1979].speaker SPEAKER_33
transcript.pyannote[1979].start 8307.12096875
transcript.pyannote[1979].end 8309.04471875
transcript.pyannote[1980].speaker SPEAKER_33
transcript.pyannote[1980].start 8309.39909375
transcript.pyannote[1980].end 8310.39471875
transcript.pyannote[1981].speaker SPEAKER_10
transcript.pyannote[1981].start 8310.39471875
transcript.pyannote[1981].end 8315.27159375
transcript.pyannote[1982].speaker SPEAKER_33
transcript.pyannote[1982].start 8310.69846875
transcript.pyannote[1982].end 8312.26784375
transcript.pyannote[1983].speaker SPEAKER_33
transcript.pyannote[1983].start 8314.81596875
transcript.pyannote[1983].end 8315.20409375
transcript.pyannote[1984].speaker SPEAKER_33
transcript.pyannote[1984].start 8315.27159375
transcript.pyannote[1984].end 8315.35596875
transcript.pyannote[1985].speaker SPEAKER_10
transcript.pyannote[1985].start 8315.35596875
transcript.pyannote[1985].end 8315.54159375
transcript.pyannote[1986].speaker SPEAKER_33
transcript.pyannote[1986].start 8315.71034375
transcript.pyannote[1986].end 8317.22909375
transcript.pyannote[1987].speaker SPEAKER_33
transcript.pyannote[1987].start 8317.51596875
transcript.pyannote[1987].end 8321.88659375
transcript.pyannote[1988].speaker SPEAKER_33
transcript.pyannote[1988].start 8322.47721875
transcript.pyannote[1988].end 8322.49409375
transcript.pyannote[1989].speaker SPEAKER_10
transcript.pyannote[1989].start 8322.49409375
transcript.pyannote[1989].end 8334.05346875
transcript.pyannote[1990].speaker SPEAKER_35
transcript.pyannote[1990].start 8333.24346875
transcript.pyannote[1990].end 8333.73284375
transcript.pyannote[1991].speaker SPEAKER_37
transcript.pyannote[1991].start 8339.04846875
transcript.pyannote[1991].end 8342.99721875
transcript.pyannote[1992].speaker SPEAKER_37
transcript.pyannote[1992].start 8345.78159375
transcript.pyannote[1992].end 8346.49034375
transcript.pyannote[1993].speaker SPEAKER_37
transcript.pyannote[1993].start 8346.79409375
transcript.pyannote[1993].end 8349.57846875
transcript.pyannote[1994].speaker SPEAKER_37
transcript.pyannote[1994].start 8350.10159375
transcript.pyannote[1994].end 8351.95784375
transcript.pyannote[1995].speaker SPEAKER_29
transcript.pyannote[1995].start 8372.32596875
transcript.pyannote[1995].end 8376.49409375
transcript.pyannote[1996].speaker SPEAKER_37
transcript.pyannote[1996].start 8374.99221875
transcript.pyannote[1996].end 8376.40971875
transcript.pyannote[1997].speaker SPEAKER_37
transcript.pyannote[1997].start 8376.49409375
transcript.pyannote[1997].end 8376.51096875
transcript.pyannote[1998].speaker SPEAKER_10
transcript.pyannote[1998].start 8386.65284375
transcript.pyannote[1998].end 8386.66971875
transcript.pyannote[1999].speaker SPEAKER_29
transcript.pyannote[1999].start 8386.66971875
transcript.pyannote[1999].end 8387.26034375
transcript.pyannote[2000].speaker SPEAKER_29
transcript.pyannote[2000].start 8388.47534375
transcript.pyannote[2000].end 8388.88034375
transcript.pyannote[2001].speaker SPEAKER_29
transcript.pyannote[2001].start 8389.30221875
transcript.pyannote[2001].end 8391.36096875
transcript.pyannote[2002].speaker SPEAKER_29
transcript.pyannote[2002].start 8391.76596875
transcript.pyannote[2002].end 8392.50846875
transcript.pyannote[2003].speaker SPEAKER_29
transcript.pyannote[2003].start 8392.81221875
transcript.pyannote[2003].end 8395.42784375
transcript.pyannote[2004].speaker SPEAKER_29
transcript.pyannote[2004].start 8396.37284375
transcript.pyannote[2004].end 8397.13221875
transcript.pyannote[2005].speaker SPEAKER_29
transcript.pyannote[2005].start 8398.63409375
transcript.pyannote[2005].end 8400.92909375
transcript.pyannote[2006].speaker SPEAKER_29
transcript.pyannote[2006].start 8402.46471875
transcript.pyannote[2006].end 8407.44284375
transcript.pyannote[2007].speaker SPEAKER_29
transcript.pyannote[2007].start 8407.86471875
transcript.pyannote[2007].end 8409.72096875
transcript.pyannote[2008].speaker SPEAKER_29
transcript.pyannote[2008].start 8410.85159375
transcript.pyannote[2008].end 8411.30721875
transcript.pyannote[2009].speaker SPEAKER_29
transcript.pyannote[2009].start 8411.88096875
transcript.pyannote[2009].end 8412.91034375
transcript.pyannote[2010].speaker SPEAKER_29
transcript.pyannote[2010].start 8414.00721875
transcript.pyannote[2010].end 8416.90971875
transcript.pyannote[2011].speaker SPEAKER_29
transcript.pyannote[2011].start 8418.78284375
transcript.pyannote[2011].end 8420.09909375
transcript.pyannote[2012].speaker SPEAKER_29
transcript.pyannote[2012].start 8420.38596875
transcript.pyannote[2012].end 8421.56721875
transcript.pyannote[2013].speaker SPEAKER_29
transcript.pyannote[2013].start 8421.70221875
transcript.pyannote[2013].end 8426.59596875
transcript.pyannote[2014].speaker SPEAKER_29
transcript.pyannote[2014].start 8427.47346875
transcript.pyannote[2014].end 8428.63784375
transcript.pyannote[2015].speaker SPEAKER_29
transcript.pyannote[2015].start 8431.33784375
transcript.pyannote[2015].end 8434.98284375
transcript.pyannote[2016].speaker SPEAKER_29
transcript.pyannote[2016].start 8436.33284375
transcript.pyannote[2016].end 8437.42971875
transcript.pyannote[2017].speaker SPEAKER_29
transcript.pyannote[2017].start 8439.33659375
transcript.pyannote[2017].end 8441.41221875
transcript.pyannote[2018].speaker SPEAKER_29
transcript.pyannote[2018].start 8442.62721875
transcript.pyannote[2018].end 8445.44534375
transcript.pyannote[2019].speaker SPEAKER_29
transcript.pyannote[2019].start 8446.18784375
transcript.pyannote[2019].end 8450.64284375
transcript.pyannote[2020].speaker SPEAKER_29
transcript.pyannote[2020].start 8451.13221875
transcript.pyannote[2020].end 8451.53721875
transcript.pyannote[2021].speaker SPEAKER_29
transcript.pyannote[2021].start 8452.19534375
transcript.pyannote[2021].end 8452.71846875
transcript.pyannote[2022].speaker SPEAKER_29
transcript.pyannote[2022].start 8453.52846875
transcript.pyannote[2022].end 8457.69659375
transcript.pyannote[2023].speaker SPEAKER_29
transcript.pyannote[2023].start 8458.16909375
transcript.pyannote[2023].end 8458.74284375
transcript.pyannote[2024].speaker SPEAKER_29
transcript.pyannote[2024].start 8459.29971875
transcript.pyannote[2024].end 8462.82659375
transcript.pyannote[2025].speaker SPEAKER_29
transcript.pyannote[2025].start 8463.13034375
transcript.pyannote[2025].end 8464.51409375
transcript.pyannote[2026].speaker SPEAKER_29
transcript.pyannote[2026].start 8465.39159375
transcript.pyannote[2026].end 8467.61909375
transcript.pyannote[2027].speaker SPEAKER_29
transcript.pyannote[2027].start 8468.66534375
transcript.pyannote[2027].end 8472.64784375
transcript.pyannote[2028].speaker SPEAKER_29
transcript.pyannote[2028].start 8474.26784375
transcript.pyannote[2028].end 8475.68534375
transcript.pyannote[2029].speaker SPEAKER_29
transcript.pyannote[2029].start 8476.52909375
transcript.pyannote[2029].end 8477.37284375
transcript.pyannote[2030].speaker SPEAKER_29
transcript.pyannote[2030].start 8478.40221875
transcript.pyannote[2030].end 8479.56659375
transcript.pyannote[2031].speaker SPEAKER_29
transcript.pyannote[2031].start 8480.68034375
transcript.pyannote[2031].end 8483.85284375
transcript.pyannote[2032].speaker SPEAKER_29
transcript.pyannote[2032].start 8483.98784375
transcript.pyannote[2032].end 8485.65846875
transcript.pyannote[2033].speaker SPEAKER_29
transcript.pyannote[2033].start 8486.04659375
transcript.pyannote[2033].end 8486.55284375
transcript.pyannote[2034].speaker SPEAKER_29
transcript.pyannote[2034].start 8488.12221875
transcript.pyannote[2034].end 8488.69596875
transcript.pyannote[2035].speaker SPEAKER_29
transcript.pyannote[2035].start 8489.65784375
transcript.pyannote[2035].end 8490.56909375
transcript.pyannote[2036].speaker SPEAKER_29
transcript.pyannote[2036].start 8492.49284375
transcript.pyannote[2036].end 8493.20159375
transcript.pyannote[2037].speaker SPEAKER_29
transcript.pyannote[2037].start 8494.46721875
transcript.pyannote[2037].end 8495.44596875
transcript.pyannote[2038].speaker SPEAKER_29
transcript.pyannote[2038].start 8496.66096875
transcript.pyannote[2038].end 8497.63971875
transcript.pyannote[2039].speaker SPEAKER_29
transcript.pyannote[2039].start 8498.04471875
transcript.pyannote[2039].end 8500.03596875
transcript.pyannote[2040].speaker SPEAKER_29
transcript.pyannote[2040].start 8500.39034375
transcript.pyannote[2040].end 8501.31846875
transcript.pyannote[2041].speaker SPEAKER_29
transcript.pyannote[2041].start 8501.57159375
transcript.pyannote[2041].end 8503.10721875
transcript.pyannote[2042].speaker SPEAKER_29
transcript.pyannote[2042].start 8503.59659375
transcript.pyannote[2042].end 8504.81159375
transcript.pyannote[2043].speaker SPEAKER_29
transcript.pyannote[2043].start 8505.52034375
transcript.pyannote[2043].end 8506.26284375
transcript.pyannote[2044].speaker SPEAKER_10
transcript.pyannote[2044].start 8507.05596875
transcript.pyannote[2044].end 8508.86159375
transcript.pyannote[2045].speaker SPEAKER_10
transcript.pyannote[2045].start 8509.14846875
transcript.pyannote[2045].end 8512.35471875
transcript.pyannote[2046].speaker SPEAKER_10
transcript.pyannote[2046].start 8512.77659375
transcript.pyannote[2046].end 8513.83971875
transcript.pyannote[2047].speaker SPEAKER_10
transcript.pyannote[2047].start 8514.17721875
transcript.pyannote[2047].end 8518.37909375
transcript.pyannote[2048].speaker SPEAKER_10
transcript.pyannote[2048].start 8518.56471875
transcript.pyannote[2048].end 8520.04971875
transcript.pyannote[2049].speaker SPEAKER_10
transcript.pyannote[2049].start 8520.85971875
transcript.pyannote[2049].end 8523.13784375
transcript.pyannote[2050].speaker SPEAKER_10
transcript.pyannote[2050].start 8523.30659375
transcript.pyannote[2050].end 8525.73659375
transcript.pyannote[2051].speaker SPEAKER_10
transcript.pyannote[2051].start 8526.14159375
transcript.pyannote[2051].end 8528.20034375
transcript.pyannote[2052].speaker SPEAKER_29
transcript.pyannote[2052].start 8528.20034375
transcript.pyannote[2052].end 8539.96221875
transcript.pyannote[2053].speaker SPEAKER_29
transcript.pyannote[2053].start 8540.21534375
transcript.pyannote[2053].end 8541.19409375
transcript.pyannote[2054].speaker SPEAKER_29
transcript.pyannote[2054].start 8541.88596875
transcript.pyannote[2054].end 8543.86034375
transcript.pyannote[2055].speaker SPEAKER_10
transcript.pyannote[2055].start 8544.04596875
transcript.pyannote[2055].end 8544.58596875
transcript.pyannote[2056].speaker SPEAKER_29
transcript.pyannote[2056].start 8544.40034375
transcript.pyannote[2056].end 8554.03596875
transcript.pyannote[2057].speaker SPEAKER_10
transcript.pyannote[2057].start 8546.61096875
transcript.pyannote[2057].end 8547.60659375
transcript.pyannote[2058].speaker SPEAKER_10
transcript.pyannote[2058].start 8552.01096875
transcript.pyannote[2058].end 8552.56784375
transcript.pyannote[2059].speaker SPEAKER_10
transcript.pyannote[2059].start 8553.44534375
transcript.pyannote[2059].end 8556.88784375
transcript.pyannote[2060].speaker SPEAKER_29
transcript.pyannote[2060].start 8556.98909375
transcript.pyannote[2060].end 8558.40659375
transcript.pyannote[2061].speaker SPEAKER_10
transcript.pyannote[2061].start 8557.49534375
transcript.pyannote[2061].end 8562.25409375
transcript.pyannote[2062].speaker SPEAKER_10
transcript.pyannote[2062].start 8562.54096875
transcript.pyannote[2062].end 8568.58221875
transcript.pyannote[2063].speaker SPEAKER_10
transcript.pyannote[2063].start 8568.63284375
transcript.pyannote[2063].end 8573.39159375
transcript.pyannote[2064].speaker SPEAKER_10
transcript.pyannote[2064].start 8573.98221875
transcript.pyannote[2064].end 8576.85096875
transcript.pyannote[2065].speaker SPEAKER_10
transcript.pyannote[2065].start 8577.42471875
transcript.pyannote[2065].end 8586.25034375
transcript.pyannote[2066].speaker SPEAKER_26
transcript.pyannote[2066].start 8584.90034375
transcript.pyannote[2066].end 8586.08159375
transcript.pyannote[2067].speaker SPEAKER_29
transcript.pyannote[2067].start 8586.48659375
transcript.pyannote[2067].end 8586.50346875
transcript.pyannote[2068].speaker SPEAKER_26
transcript.pyannote[2068].start 8586.50346875
transcript.pyannote[2068].end 8586.52034375
transcript.pyannote[2069].speaker SPEAKER_29
transcript.pyannote[2069].start 8586.52034375
transcript.pyannote[2069].end 8586.79034375
transcript.pyannote[2070].speaker SPEAKER_10
transcript.pyannote[2070].start 8586.79034375
transcript.pyannote[2070].end 8587.16159375
transcript.pyannote[2071].speaker SPEAKER_29
transcript.pyannote[2071].start 8586.90846875
transcript.pyannote[2071].end 8592.79784375
transcript.pyannote[2072].speaker SPEAKER_26
transcript.pyannote[2072].start 8587.16159375
transcript.pyannote[2072].end 8587.21221875
transcript.pyannote[2073].speaker SPEAKER_10
transcript.pyannote[2073].start 8587.21221875
transcript.pyannote[2073].end 8587.63409375
transcript.pyannote[2074].speaker SPEAKER_26
transcript.pyannote[2074].start 8587.63409375
transcript.pyannote[2074].end 8587.65096875
transcript.pyannote[2075].speaker SPEAKER_29
transcript.pyannote[2075].start 8593.81034375
transcript.pyannote[2075].end 8600.79659375
transcript.pyannote[2076].speaker SPEAKER_14
transcript.pyannote[2076].start 8593.97909375
transcript.pyannote[2076].end 8593.99596875
transcript.pyannote[2077].speaker SPEAKER_14
transcript.pyannote[2077].start 8594.48534375
transcript.pyannote[2077].end 8595.17721875
transcript.pyannote[2078].speaker SPEAKER_29
transcript.pyannote[2078].start 8601.69096875
transcript.pyannote[2078].end 8603.02409375
transcript.pyannote[2079].speaker SPEAKER_29
transcript.pyannote[2079].start 8603.15909375
transcript.pyannote[2079].end 8604.22221875
transcript.pyannote[2080].speaker SPEAKER_29
transcript.pyannote[2080].start 8604.82971875
transcript.pyannote[2080].end 8610.39846875
transcript.pyannote[2081].speaker SPEAKER_29
transcript.pyannote[2081].start 8610.87096875
transcript.pyannote[2081].end 8612.01846875
transcript.pyannote[2082].speaker SPEAKER_26
transcript.pyannote[2082].start 8613.92534375
transcript.pyannote[2082].end 8614.51596875
transcript.pyannote[2083].speaker SPEAKER_29
transcript.pyannote[2083].start 8613.99284375
transcript.pyannote[2083].end 8615.81534375
transcript.pyannote[2084].speaker SPEAKER_26
transcript.pyannote[2084].start 8615.56221875
transcript.pyannote[2084].end 8615.78159375
transcript.pyannote[2085].speaker SPEAKER_26
transcript.pyannote[2085].start 8615.81534375
transcript.pyannote[2085].end 8617.58721875
transcript.pyannote[2086].speaker SPEAKER_29
transcript.pyannote[2086].start 8617.30034375
transcript.pyannote[2086].end 8618.46471875
transcript.pyannote[2087].speaker SPEAKER_26
transcript.pyannote[2087].start 8618.02596875
transcript.pyannote[2087].end 8623.22346875
transcript.pyannote[2088].speaker SPEAKER_26
transcript.pyannote[2088].start 8623.24034375
transcript.pyannote[2088].end 8640.28409375
transcript.pyannote[2089].speaker SPEAKER_00
transcript.pyannote[2089].start 8626.42971875
transcript.pyannote[2089].end 8627.03721875
transcript.pyannote[2090].speaker SPEAKER_09
transcript.pyannote[2090].start 8627.03721875
transcript.pyannote[2090].end 8627.77971875
transcript.pyannote[2091].speaker SPEAKER_29
transcript.pyannote[2091].start 8637.82034375
transcript.pyannote[2091].end 8640.21659375
transcript.pyannote[2092].speaker SPEAKER_29
transcript.pyannote[2092].start 8640.28409375
transcript.pyannote[2092].end 8641.88721875
transcript.pyannote[2093].speaker SPEAKER_26
transcript.pyannote[2093].start 8641.88721875
transcript.pyannote[2093].end 8645.78534375
transcript.pyannote[2094].speaker SPEAKER_29
transcript.pyannote[2094].start 8642.14034375
transcript.pyannote[2094].end 8643.22034375
transcript.pyannote[2095].speaker SPEAKER_29
transcript.pyannote[2095].start 8647.52346875
transcript.pyannote[2095].end 8653.14284375
transcript.pyannote[2096].speaker SPEAKER_29
transcript.pyannote[2096].start 8653.46346875
transcript.pyannote[2096].end 8654.35784375
transcript.pyannote[2097].speaker SPEAKER_29
transcript.pyannote[2097].start 8655.48846875
transcript.pyannote[2097].end 8657.58096875
transcript.pyannote[2098].speaker SPEAKER_29
transcript.pyannote[2098].start 8658.94784375
transcript.pyannote[2098].end 8660.23034375
transcript.pyannote[2099].speaker SPEAKER_29
transcript.pyannote[2099].start 8661.10784375
transcript.pyannote[2099].end 8662.69409375
transcript.pyannote[2100].speaker SPEAKER_29
transcript.pyannote[2100].start 8664.71909375
transcript.pyannote[2100].end 8665.47846875
transcript.pyannote[2101].speaker SPEAKER_29
transcript.pyannote[2101].start 8666.55846875
transcript.pyannote[2101].end 8668.36409375
transcript.pyannote[2102].speaker SPEAKER_29
transcript.pyannote[2102].start 8669.20784375
transcript.pyannote[2102].end 8671.80659375
transcript.pyannote[2103].speaker SPEAKER_29
transcript.pyannote[2103].start 8673.19034375
transcript.pyannote[2103].end 8678.03346875
transcript.pyannote[2104].speaker SPEAKER_29
transcript.pyannote[2104].start 8679.23159375
transcript.pyannote[2104].end 8679.83909375
transcript.pyannote[2105].speaker SPEAKER_29
transcript.pyannote[2105].start 8680.26096875
transcript.pyannote[2105].end 8681.45909375
transcript.pyannote[2106].speaker SPEAKER_29
transcript.pyannote[2106].start 8681.84721875
transcript.pyannote[2106].end 8686.04909375
transcript.pyannote[2107].speaker SPEAKER_29
transcript.pyannote[2107].start 8686.47096875
transcript.pyannote[2107].end 8692.81596875
transcript.pyannote[2108].speaker SPEAKER_10
transcript.pyannote[2108].start 8687.77034375
transcript.pyannote[2108].end 8687.90534375
transcript.pyannote[2109].speaker SPEAKER_10
transcript.pyannote[2109].start 8688.37784375
transcript.pyannote[2109].end 8689.59284375
transcript.pyannote[2110].speaker SPEAKER_10
transcript.pyannote[2110].start 8689.81221875
transcript.pyannote[2110].end 8690.16659375
transcript.pyannote[2111].speaker SPEAKER_29
transcript.pyannote[2111].start 8693.47409375
transcript.pyannote[2111].end 8705.80971875
transcript.pyannote[2112].speaker SPEAKER_10
transcript.pyannote[2112].start 8703.05909375
transcript.pyannote[2112].end 8703.90284375
transcript.pyannote[2113].speaker SPEAKER_10
transcript.pyannote[2113].start 8704.54409375
transcript.pyannote[2113].end 8705.50596875
transcript.pyannote[2114].speaker SPEAKER_29
transcript.pyannote[2114].start 8706.06284375
transcript.pyannote[2114].end 8710.55159375
transcript.pyannote[2115].speaker SPEAKER_10
transcript.pyannote[2115].start 8710.92284375
transcript.pyannote[2115].end 8719.54596875
transcript.pyannote[2116].speaker SPEAKER_29
transcript.pyannote[2116].start 8711.19284375
transcript.pyannote[2116].end 8712.71159375
transcript.pyannote[2117].speaker SPEAKER_10
transcript.pyannote[2117].start 8719.83284375
transcript.pyannote[2117].end 8723.73096875
transcript.pyannote[2118].speaker SPEAKER_10
transcript.pyannote[2118].start 8723.88284375
transcript.pyannote[2118].end 8724.52409375
transcript.pyannote[2119].speaker SPEAKER_10
transcript.pyannote[2119].start 8724.76034375
transcript.pyannote[2119].end 8729.94096875
transcript.pyannote[2120].speaker SPEAKER_10
transcript.pyannote[2120].start 8730.16034375
transcript.pyannote[2120].end 8732.53971875
transcript.pyannote[2121].speaker SPEAKER_10
transcript.pyannote[2121].start 8733.23159375
transcript.pyannote[2121].end 8739.34034375
transcript.pyannote[2122].speaker SPEAKER_10
transcript.pyannote[2122].start 8739.61034375
transcript.pyannote[2122].end 8741.55096875
transcript.pyannote[2123].speaker SPEAKER_29
transcript.pyannote[2123].start 8741.33159375
transcript.pyannote[2123].end 8741.43284375
transcript.pyannote[2124].speaker SPEAKER_29
transcript.pyannote[2124].start 8741.55096875
transcript.pyannote[2124].end 8742.32721875
transcript.pyannote[2125].speaker SPEAKER_10
transcript.pyannote[2125].start 8741.70284375
transcript.pyannote[2125].end 8741.98971875
transcript.pyannote[2126].speaker SPEAKER_10
transcript.pyannote[2126].start 8742.00659375
transcript.pyannote[2126].end 8742.02346875
transcript.pyannote[2127].speaker SPEAKER_29
transcript.pyannote[2127].start 8742.69846875
transcript.pyannote[2127].end 8749.46534375
transcript.pyannote[2128].speaker SPEAKER_10
transcript.pyannote[2128].start 8743.03596875
transcript.pyannote[2128].end 8743.42409375
transcript.pyannote[2129].speaker SPEAKER_09
transcript.pyannote[2129].start 8744.97659375
transcript.pyannote[2129].end 8745.01034375
transcript.pyannote[2130].speaker SPEAKER_10
transcript.pyannote[2130].start 8745.01034375
transcript.pyannote[2130].end 8745.16221875
transcript.pyannote[2131].speaker SPEAKER_09
transcript.pyannote[2131].start 8745.16221875
transcript.pyannote[2131].end 8745.24659375
transcript.pyannote[2132].speaker SPEAKER_29
transcript.pyannote[2132].start 8749.66784375
transcript.pyannote[2132].end 8752.23284375
transcript.pyannote[2133].speaker SPEAKER_29
transcript.pyannote[2133].start 8752.62096875
transcript.pyannote[2133].end 8761.00784375
transcript.pyannote[2134].speaker SPEAKER_09
transcript.pyannote[2134].start 8752.67159375
transcript.pyannote[2134].end 8753.02596875
transcript.pyannote[2135].speaker SPEAKER_10
transcript.pyannote[2135].start 8753.02596875
transcript.pyannote[2135].end 8753.51534375
transcript.pyannote[2136].speaker SPEAKER_10
transcript.pyannote[2136].start 8756.13096875
transcript.pyannote[2136].end 8756.56971875
transcript.pyannote[2137].speaker SPEAKER_10
transcript.pyannote[2137].start 8756.78909375
transcript.pyannote[2137].end 8757.97034375
transcript.pyannote[2138].speaker SPEAKER_10
transcript.pyannote[2138].start 8761.36221875
transcript.pyannote[2138].end 8769.47909375
transcript.pyannote[2139].speaker SPEAKER_36
transcript.pyannote[2139].start 8769.61409375
transcript.pyannote[2139].end 8769.98534375
transcript.pyannote[2140].speaker SPEAKER_10
transcript.pyannote[2140].start 8770.22159375
transcript.pyannote[2140].end 8772.28034375
transcript.pyannote[2141].speaker SPEAKER_10
transcript.pyannote[2141].start 8772.51659375
transcript.pyannote[2141].end 8777.17409375
transcript.pyannote[2142].speaker SPEAKER_10
transcript.pyannote[2142].start 8777.62971875
transcript.pyannote[2142].end 8778.45659375
transcript.pyannote[2143].speaker SPEAKER_10
transcript.pyannote[2143].start 8778.59159375
transcript.pyannote[2143].end 8781.93284375
transcript.pyannote[2144].speaker SPEAKER_10
transcript.pyannote[2144].start 8781.96659375
transcript.pyannote[2144].end 8785.20659375
transcript.pyannote[2145].speaker SPEAKER_29
transcript.pyannote[2145].start 8786.13471875
transcript.pyannote[2145].end 8788.44659375
transcript.pyannote[2146].speaker SPEAKER_29
transcript.pyannote[2146].start 8789.35784375
transcript.pyannote[2146].end 8794.57221875
transcript.pyannote[2147].speaker SPEAKER_10
transcript.pyannote[2147].start 8791.29846875
transcript.pyannote[2147].end 8794.33596875
transcript.pyannote[2148].speaker SPEAKER_29
transcript.pyannote[2148].start 8795.36534375
transcript.pyannote[2148].end 8795.73659375
transcript.pyannote[2149].speaker SPEAKER_29
transcript.pyannote[2149].start 8795.90534375
transcript.pyannote[2149].end 8796.69846875
transcript.pyannote[2150].speaker SPEAKER_29
transcript.pyannote[2150].start 8797.06971875
transcript.pyannote[2150].end 8801.89596875
transcript.pyannote[2151].speaker SPEAKER_29
transcript.pyannote[2151].start 8802.25034375
transcript.pyannote[2151].end 8804.24159375
transcript.pyannote[2152].speaker SPEAKER_29
transcript.pyannote[2152].start 8805.50721875
transcript.pyannote[2152].end 8806.57034375
transcript.pyannote[2153].speaker SPEAKER_29
transcript.pyannote[2153].start 8807.58284375
transcript.pyannote[2153].end 8809.96221875
transcript.pyannote[2154].speaker SPEAKER_29
transcript.pyannote[2154].start 8810.38409375
transcript.pyannote[2154].end 8812.84784375
transcript.pyannote[2155].speaker SPEAKER_29
transcript.pyannote[2155].start 8813.08409375
transcript.pyannote[2155].end 8813.80971875
transcript.pyannote[2156].speaker SPEAKER_29
transcript.pyannote[2156].start 8814.80534375
transcript.pyannote[2156].end 8815.93596875
transcript.pyannote[2157].speaker SPEAKER_29
transcript.pyannote[2157].start 8817.21846875
transcript.pyannote[2157].end 8821.01534375
transcript.pyannote[2158].speaker SPEAKER_29
transcript.pyannote[2158].start 8821.25159375
transcript.pyannote[2158].end 8825.36909375
transcript.pyannote[2159].speaker SPEAKER_29
transcript.pyannote[2159].start 8825.99346875
transcript.pyannote[2159].end 8827.20846875
transcript.pyannote[2160].speaker SPEAKER_36
transcript.pyannote[2160].start 8828.00159375
transcript.pyannote[2160].end 8828.01846875
transcript.pyannote[2161].speaker SPEAKER_10
transcript.pyannote[2161].start 8828.01846875
transcript.pyannote[2161].end 8829.80721875
transcript.pyannote[2162].speaker SPEAKER_29
transcript.pyannote[2162].start 8828.06909375
transcript.pyannote[2162].end 8831.57909375
transcript.pyannote[2163].speaker SPEAKER_10
transcript.pyannote[2163].start 8830.75221875
transcript.pyannote[2163].end 8838.86909375
transcript.pyannote[2164].speaker SPEAKER_29
transcript.pyannote[2164].start 8838.12659375
transcript.pyannote[2164].end 8842.44659375
transcript.pyannote[2165].speaker SPEAKER_29
transcript.pyannote[2165].start 8842.73346875
transcript.pyannote[2165].end 8845.66971875
transcript.pyannote[2166].speaker SPEAKER_10
transcript.pyannote[2166].start 8842.75034375
transcript.pyannote[2166].end 8843.40846875
transcript.pyannote[2167].speaker SPEAKER_10
transcript.pyannote[2167].start 8845.66971875
transcript.pyannote[2167].end 8851.01909375
transcript.pyannote[2168].speaker SPEAKER_29
transcript.pyannote[2168].start 8850.96846875
transcript.pyannote[2168].end 8851.79534375
transcript.pyannote[2169].speaker SPEAKER_10
transcript.pyannote[2169].start 8851.40721875
transcript.pyannote[2169].end 8853.43221875
transcript.pyannote[2170].speaker SPEAKER_10
transcript.pyannote[2170].start 8853.76971875
transcript.pyannote[2170].end 8855.35596875
transcript.pyannote[2171].speaker SPEAKER_10
transcript.pyannote[2171].start 8855.47409375
transcript.pyannote[2171].end 8857.61721875
transcript.pyannote[2172].speaker SPEAKER_10
transcript.pyannote[2172].start 8857.87034375
transcript.pyannote[2172].end 8859.03471875
transcript.pyannote[2173].speaker SPEAKER_10
transcript.pyannote[2173].start 8859.27096875
transcript.pyannote[2173].end 8861.38034375
transcript.pyannote[2174].speaker SPEAKER_10
transcript.pyannote[2174].start 8861.75159375
transcript.pyannote[2174].end 8867.37096875
transcript.pyannote[2175].speaker SPEAKER_10
transcript.pyannote[2175].start 8867.55659375
transcript.pyannote[2175].end 8869.69971875
transcript.pyannote[2176].speaker SPEAKER_29
transcript.pyannote[2176].start 8870.47596875
transcript.pyannote[2176].end 8872.68659375
transcript.pyannote[2177].speaker SPEAKER_29
transcript.pyannote[2177].start 8874.08721875
transcript.pyannote[2177].end 8876.58471875
transcript.pyannote[2178].speaker SPEAKER_29
transcript.pyannote[2178].start 8877.36096875
transcript.pyannote[2178].end 8878.82909375
transcript.pyannote[2179].speaker SPEAKER_29
transcript.pyannote[2179].start 8879.41971875
transcript.pyannote[2179].end 8881.90034375
transcript.pyannote[2180].speaker SPEAKER_29
transcript.pyannote[2180].start 8882.03534375
transcript.pyannote[2180].end 8882.77784375
transcript.pyannote[2181].speaker SPEAKER_29
transcript.pyannote[2181].start 8883.75659375
transcript.pyannote[2181].end 8885.14034375
transcript.pyannote[2182].speaker SPEAKER_29
transcript.pyannote[2182].start 8886.18659375
transcript.pyannote[2182].end 8887.33409375
transcript.pyannote[2183].speaker SPEAKER_29
transcript.pyannote[2183].start 8887.75596875
transcript.pyannote[2183].end 8889.78096875
transcript.pyannote[2184].speaker SPEAKER_29
transcript.pyannote[2184].start 8891.41784375
transcript.pyannote[2184].end 8896.86846875
transcript.pyannote[2185].speaker SPEAKER_19
transcript.pyannote[2185].start 8891.68784375
transcript.pyannote[2185].end 8891.92409375
transcript.pyannote[2186].speaker SPEAKER_19
transcript.pyannote[2186].start 8892.81846875
transcript.pyannote[2186].end 8894.89409375
transcript.pyannote[2187].speaker SPEAKER_29
transcript.pyannote[2187].start 8897.03721875
transcript.pyannote[2187].end 8898.72471875
transcript.pyannote[2188].speaker SPEAKER_29
transcript.pyannote[2188].start 8899.23096875
transcript.pyannote[2188].end 8900.73284375
transcript.pyannote[2189].speaker SPEAKER_29
transcript.pyannote[2189].start 8904.20909375
transcript.pyannote[2189].end 8907.46596875
transcript.pyannote[2190].speaker SPEAKER_29
transcript.pyannote[2190].start 8907.61784375
transcript.pyannote[2190].end 8909.10284375
transcript.pyannote[2191].speaker SPEAKER_29
transcript.pyannote[2191].start 8909.52471875
transcript.pyannote[2191].end 8909.98034375
transcript.pyannote[2192].speaker SPEAKER_29
transcript.pyannote[2192].start 8910.55409375
transcript.pyannote[2192].end 8911.98846875
transcript.pyannote[2193].speaker SPEAKER_29
transcript.pyannote[2193].start 8912.66346875
transcript.pyannote[2193].end 8913.70971875
transcript.pyannote[2194].speaker SPEAKER_29
transcript.pyannote[2194].start 8915.29596875
transcript.pyannote[2194].end 8915.73471875
transcript.pyannote[2195].speaker SPEAKER_29
transcript.pyannote[2195].start 8917.35471875
transcript.pyannote[2195].end 8918.78909375
transcript.pyannote[2196].speaker SPEAKER_29
transcript.pyannote[2196].start 8919.34596875
transcript.pyannote[2196].end 8921.25284375
transcript.pyannote[2197].speaker SPEAKER_29
transcript.pyannote[2197].start 8922.31596875
transcript.pyannote[2197].end 8922.87284375
transcript.pyannote[2198].speaker SPEAKER_29
transcript.pyannote[2198].start 8923.37909375
transcript.pyannote[2198].end 8924.12159375
transcript.pyannote[2199].speaker SPEAKER_29
transcript.pyannote[2199].start 8925.60659375
transcript.pyannote[2199].end 8927.09159375
transcript.pyannote[2200].speaker SPEAKER_29
transcript.pyannote[2200].start 8928.77909375
transcript.pyannote[2200].end 8929.63971875
transcript.pyannote[2201].speaker SPEAKER_10
transcript.pyannote[2201].start 8931.54659375
transcript.pyannote[2201].end 8932.03596875
transcript.pyannote[2202].speaker SPEAKER_10
transcript.pyannote[2202].start 8932.30596875
transcript.pyannote[2202].end 8932.60971875
transcript.pyannote[2203].speaker SPEAKER_10
transcript.pyannote[2203].start 8933.72346875
transcript.pyannote[2203].end 8934.76971875
transcript.pyannote[2204].speaker SPEAKER_10
transcript.pyannote[2204].start 8936.50784375
transcript.pyannote[2204].end 8936.52471875
transcript.pyannote[2205].speaker SPEAKER_29
transcript.pyannote[2205].start 8936.52471875
transcript.pyannote[2205].end 8937.01409375
transcript.pyannote[2206].speaker SPEAKER_29
transcript.pyannote[2206].start 8937.18284375
transcript.pyannote[2206].end 8937.52034375
transcript.pyannote[2207].speaker SPEAKER_29
transcript.pyannote[2207].start 8938.63409375
transcript.pyannote[2207].end 8940.28784375
transcript.pyannote[2208].speaker SPEAKER_10
transcript.pyannote[2208].start 8941.85721875
transcript.pyannote[2208].end 8942.97096875
transcript.pyannote[2209].speaker SPEAKER_29
transcript.pyannote[2209].start 8942.38034375
transcript.pyannote[2209].end 8943.19034375
transcript.pyannote[2210].speaker SPEAKER_10
transcript.pyannote[2210].start 8943.19034375
transcript.pyannote[2210].end 8944.03409375
transcript.pyannote[2211].speaker SPEAKER_10
transcript.pyannote[2211].start 8945.16471875
transcript.pyannote[2211].end 8948.67471875
transcript.pyannote[2212].speaker SPEAKER_29
transcript.pyannote[2212].start 8948.67471875
transcript.pyannote[2212].end 8948.69159375
transcript.pyannote[2213].speaker SPEAKER_10
transcript.pyannote[2213].start 8949.24846875
transcript.pyannote[2213].end 8949.26534375
transcript.pyannote[2214].speaker SPEAKER_29
transcript.pyannote[2214].start 8949.26534375
transcript.pyannote[2214].end 8951.37471875
transcript.pyannote[2215].speaker SPEAKER_29
transcript.pyannote[2215].start 8951.94846875
transcript.pyannote[2215].end 8953.43346875
transcript.pyannote[2216].speaker SPEAKER_29
transcript.pyannote[2216].start 8954.39534375
transcript.pyannote[2216].end 8961.21284375
transcript.pyannote[2217].speaker SPEAKER_14
transcript.pyannote[2217].start 8955.84659375
transcript.pyannote[2217].end 8957.31471875
transcript.pyannote[2218].speaker SPEAKER_09
transcript.pyannote[2218].start 8957.31471875
transcript.pyannote[2218].end 8957.34846875
transcript.pyannote[2219].speaker SPEAKER_29
transcript.pyannote[2219].start 8961.63471875
transcript.pyannote[2219].end 8965.43159375
transcript.pyannote[2220].speaker SPEAKER_10
transcript.pyannote[2220].start 8965.43159375
transcript.pyannote[2220].end 8966.76471875
transcript.pyannote[2221].speaker SPEAKER_29
transcript.pyannote[2221].start 8966.02221875
transcript.pyannote[2221].end 8967.22034375
transcript.pyannote[2222].speaker SPEAKER_29
transcript.pyannote[2222].start 8968.33409375
transcript.pyannote[2222].end 8970.03846875
transcript.pyannote[2223].speaker SPEAKER_29
transcript.pyannote[2223].start 8971.03409375
transcript.pyannote[2223].end 8972.02971875
transcript.pyannote[2224].speaker SPEAKER_10
transcript.pyannote[2224].start 8972.33346875
transcript.pyannote[2224].end 8973.43034375
transcript.pyannote[2225].speaker SPEAKER_10
transcript.pyannote[2225].start 8973.98721875
transcript.pyannote[2225].end 8974.05471875
transcript.pyannote[2226].speaker SPEAKER_29
transcript.pyannote[2226].start 8974.05471875
transcript.pyannote[2226].end 8974.15596875
transcript.pyannote[2227].speaker SPEAKER_10
transcript.pyannote[2227].start 8974.15596875
transcript.pyannote[2227].end 8975.15159375
transcript.pyannote[2228].speaker SPEAKER_29
transcript.pyannote[2228].start 8975.15159375
transcript.pyannote[2228].end 8975.16846875
transcript.pyannote[2229].speaker SPEAKER_29
transcript.pyannote[2229].start 8978.89784375
transcript.pyannote[2229].end 8980.56846875
transcript.pyannote[2230].speaker SPEAKER_10
transcript.pyannote[2230].start 8981.10846875
transcript.pyannote[2230].end 8981.54721875
transcript.pyannote[2231].speaker SPEAKER_10
transcript.pyannote[2231].start 8981.95221875
transcript.pyannote[2231].end 8986.49159375
transcript.pyannote[2232].speaker SPEAKER_29
transcript.pyannote[2232].start 8986.69409375
transcript.pyannote[2232].end 8986.98096875
transcript.pyannote[2233].speaker SPEAKER_29
transcript.pyannote[2233].start 8988.31409375
transcript.pyannote[2233].end 8991.26721875
transcript.pyannote[2234].speaker SPEAKER_29
transcript.pyannote[2234].start 8992.26284375
transcript.pyannote[2234].end 8993.05596875
transcript.pyannote[2235].speaker SPEAKER_29
transcript.pyannote[2235].start 8994.30471875
transcript.pyannote[2235].end 8994.60846875
transcript.pyannote[2236].speaker SPEAKER_10
transcript.pyannote[2236].start 8995.16534375
transcript.pyannote[2236].end 8997.07221875
transcript.pyannote[2237].speaker SPEAKER_10
transcript.pyannote[2237].start 8997.12284375
transcript.pyannote[2237].end 8997.96659375
transcript.pyannote[2238].speaker SPEAKER_29
transcript.pyannote[2238].start 8997.96659375
transcript.pyannote[2238].end 8998.20284375
transcript.pyannote[2239].speaker SPEAKER_29
transcript.pyannote[2239].start 9000.22784375
transcript.pyannote[2239].end 9008.14221875
transcript.pyannote[2240].speaker SPEAKER_29
transcript.pyannote[2240].start 9009.08721875
transcript.pyannote[2240].end 9012.04034375
transcript.pyannote[2241].speaker SPEAKER_29
transcript.pyannote[2241].start 9012.49596875
transcript.pyannote[2241].end 9015.46596875
transcript.pyannote[2242].speaker SPEAKER_29
transcript.pyannote[2242].start 9016.19159375
transcript.pyannote[2242].end 9017.55846875
transcript.pyannote[2243].speaker SPEAKER_29
transcript.pyannote[2243].start 9018.48659375
transcript.pyannote[2243].end 9023.85284375
transcript.pyannote[2244].speaker SPEAKER_29
transcript.pyannote[2244].start 9025.30409375
transcript.pyannote[2244].end 9026.06346875
transcript.pyannote[2245].speaker SPEAKER_29
transcript.pyannote[2245].start 9026.87346875
transcript.pyannote[2245].end 9027.97034375
transcript.pyannote[2246].speaker SPEAKER_29
transcript.pyannote[2246].start 9029.53971875
transcript.pyannote[2246].end 9032.13846875
transcript.pyannote[2247].speaker SPEAKER_29
transcript.pyannote[2247].start 9032.42534375
transcript.pyannote[2247].end 9033.13409375
transcript.pyannote[2248].speaker SPEAKER_29
transcript.pyannote[2248].start 9033.92721875
transcript.pyannote[2248].end 9035.09159375
transcript.pyannote[2249].speaker SPEAKER_29
transcript.pyannote[2249].start 9035.26034375
transcript.pyannote[2249].end 9036.39096875
transcript.pyannote[2250].speaker SPEAKER_29
transcript.pyannote[2250].start 9036.69471875
transcript.pyannote[2250].end 9037.60596875
transcript.pyannote[2251].speaker SPEAKER_29
transcript.pyannote[2251].start 9038.95596875
transcript.pyannote[2251].end 9040.33971875
transcript.pyannote[2252].speaker SPEAKER_29
transcript.pyannote[2252].start 9041.06534375
transcript.pyannote[2252].end 9042.48284375
transcript.pyannote[2253].speaker SPEAKER_29
transcript.pyannote[2253].start 9042.68534375
transcript.pyannote[2253].end 9045.03096875
transcript.pyannote[2254].speaker SPEAKER_29
transcript.pyannote[2254].start 9046.04346875
transcript.pyannote[2254].end 9048.08534375
transcript.pyannote[2255].speaker SPEAKER_10
transcript.pyannote[2255].start 9051.30846875
transcript.pyannote[2255].end 9051.54471875
transcript.pyannote[2256].speaker SPEAKER_29
transcript.pyannote[2256].start 9051.54471875
transcript.pyannote[2256].end 9052.03409375
transcript.pyannote[2257].speaker SPEAKER_10
transcript.pyannote[2257].start 9052.03409375
transcript.pyannote[2257].end 9053.48534375
transcript.pyannote[2258].speaker SPEAKER_10
transcript.pyannote[2258].start 9053.85659375
transcript.pyannote[2258].end 9055.94909375
transcript.pyannote[2259].speaker SPEAKER_10
transcript.pyannote[2259].start 9055.96596875
transcript.pyannote[2259].end 9056.59034375
transcript.pyannote[2260].speaker SPEAKER_10
transcript.pyannote[2260].start 9057.24846875
transcript.pyannote[2260].end 9061.19721875
transcript.pyannote[2261].speaker SPEAKER_10
transcript.pyannote[2261].start 9061.36596875
transcript.pyannote[2261].end 9061.88909375
transcript.pyannote[2262].speaker SPEAKER_10
transcript.pyannote[2262].start 9062.10846875
transcript.pyannote[2262].end 9065.09534375
transcript.pyannote[2263].speaker SPEAKER_10
transcript.pyannote[2263].start 9065.31471875
transcript.pyannote[2263].end 9070.42784375
transcript.pyannote[2264].speaker SPEAKER_29
transcript.pyannote[2264].start 9070.64721875
transcript.pyannote[2264].end 9071.38971875
transcript.pyannote[2265].speaker SPEAKER_29
transcript.pyannote[2265].start 9071.72721875
transcript.pyannote[2265].end 9072.92534375
transcript.pyannote[2266].speaker SPEAKER_29
transcript.pyannote[2266].start 9073.81971875
transcript.pyannote[2266].end 9074.44409375
transcript.pyannote[2267].speaker SPEAKER_29
transcript.pyannote[2267].start 9075.59159375
transcript.pyannote[2267].end 9076.26659375
transcript.pyannote[2268].speaker SPEAKER_29
transcript.pyannote[2268].start 9076.68846875
transcript.pyannote[2268].end 9077.97096875
transcript.pyannote[2269].speaker SPEAKER_29
transcript.pyannote[2269].start 9078.17346875
transcript.pyannote[2269].end 9079.08471875
transcript.pyannote[2270].speaker SPEAKER_29
transcript.pyannote[2270].start 9081.71721875
transcript.pyannote[2270].end 9082.54409375
transcript.pyannote[2271].speaker SPEAKER_29
transcript.pyannote[2271].start 9082.79721875
transcript.pyannote[2271].end 9083.69159375
transcript.pyannote[2272].speaker SPEAKER_29
transcript.pyannote[2272].start 9084.06284375
transcript.pyannote[2272].end 9084.82221875
transcript.pyannote[2273].speaker SPEAKER_29
transcript.pyannote[2273].start 9084.95721875
transcript.pyannote[2273].end 9087.01596875
transcript.pyannote[2274].speaker SPEAKER_29
transcript.pyannote[2274].start 9090.23909375
transcript.pyannote[2274].end 9097.09034375
transcript.pyannote[2275].speaker SPEAKER_29
transcript.pyannote[2275].start 9098.08596875
transcript.pyannote[2275].end 9099.03096875
transcript.pyannote[2276].speaker SPEAKER_29
transcript.pyannote[2276].start 9099.70596875
transcript.pyannote[2276].end 9100.53284375
transcript.pyannote[2277].speaker SPEAKER_29
transcript.pyannote[2277].start 9101.29221875
transcript.pyannote[2277].end 9102.08534375
transcript.pyannote[2278].speaker SPEAKER_29
transcript.pyannote[2278].start 9102.57471875
transcript.pyannote[2278].end 9104.95409375
transcript.pyannote[2279].speaker SPEAKER_10
transcript.pyannote[2279].start 9106.16909375
transcript.pyannote[2279].end 9108.02534375
transcript.pyannote[2280].speaker SPEAKER_10
transcript.pyannote[2280].start 9108.76784375
transcript.pyannote[2280].end 9112.53096875
transcript.pyannote[2281].speaker SPEAKER_29
transcript.pyannote[2281].start 9111.14721875
transcript.pyannote[2281].end 9114.57284375
transcript.pyannote[2282].speaker SPEAKER_29
transcript.pyannote[2282].start 9117.01971875
transcript.pyannote[2282].end 9118.36971875
transcript.pyannote[2283].speaker SPEAKER_29
transcript.pyannote[2283].start 9118.80846875
transcript.pyannote[2283].end 9123.09471875
transcript.pyannote[2284].speaker SPEAKER_29
transcript.pyannote[2284].start 9123.78659375
transcript.pyannote[2284].end 9124.07346875
transcript.pyannote[2285].speaker SPEAKER_29
transcript.pyannote[2285].start 9125.76096875
transcript.pyannote[2285].end 9128.12346875
transcript.pyannote[2286].speaker SPEAKER_10
transcript.pyannote[2286].start 9129.45659375
transcript.pyannote[2286].end 9130.63784375
transcript.pyannote[2287].speaker SPEAKER_10
transcript.pyannote[2287].start 9130.99221875
transcript.pyannote[2287].end 9132.51096875
transcript.pyannote[2288].speaker SPEAKER_10
transcript.pyannote[2288].start 9132.78096875
transcript.pyannote[2288].end 9133.70909375
transcript.pyannote[2289].speaker SPEAKER_10
transcript.pyannote[2289].start 9133.96221875
transcript.pyannote[2289].end 9135.41346875
transcript.pyannote[2290].speaker SPEAKER_10
transcript.pyannote[2290].start 9135.75096875
transcript.pyannote[2290].end 9138.41721875
transcript.pyannote[2291].speaker SPEAKER_10
transcript.pyannote[2291].start 9138.87284375
transcript.pyannote[2291].end 9140.37471875
transcript.pyannote[2292].speaker SPEAKER_10
transcript.pyannote[2292].start 9140.66159375
transcript.pyannote[2292].end 9142.28159375
transcript.pyannote[2293].speaker SPEAKER_10
transcript.pyannote[2293].start 9142.78784375
transcript.pyannote[2293].end 9143.32784375
transcript.pyannote[2294].speaker SPEAKER_10
transcript.pyannote[2294].start 9143.44596875
transcript.pyannote[2294].end 9146.06159375
transcript.pyannote[2295].speaker SPEAKER_29
transcript.pyannote[2295].start 9147.05721875
transcript.pyannote[2295].end 9148.06971875
transcript.pyannote[2296].speaker SPEAKER_29
transcript.pyannote[2296].start 9148.87971875
transcript.pyannote[2296].end 9149.89221875
transcript.pyannote[2297].speaker SPEAKER_29
transcript.pyannote[2297].start 9151.14096875
transcript.pyannote[2297].end 9153.87471875
transcript.pyannote[2298].speaker SPEAKER_10
transcript.pyannote[2298].start 9153.45284375
transcript.pyannote[2298].end 9153.75659375
transcript.pyannote[2299].speaker SPEAKER_38
transcript.pyannote[2299].start 9153.75659375
transcript.pyannote[2299].end 9153.77346875
transcript.pyannote[2300].speaker SPEAKER_10
transcript.pyannote[2300].start 9153.77346875
transcript.pyannote[2300].end 9153.80721875
transcript.pyannote[2301].speaker SPEAKER_38
transcript.pyannote[2301].start 9153.87471875
transcript.pyannote[2301].end 9154.02659375
transcript.pyannote[2302].speaker SPEAKER_29
transcript.pyannote[2302].start 9155.42721875
transcript.pyannote[2302].end 9157.18221875
transcript.pyannote[2303].speaker SPEAKER_10
transcript.pyannote[2303].start 9159.05534375
transcript.pyannote[2303].end 9160.35471875
transcript.pyannote[2304].speaker SPEAKER_10
transcript.pyannote[2304].start 9160.55721875
transcript.pyannote[2304].end 9161.95784375
transcript.pyannote[2305].speaker SPEAKER_29
transcript.pyannote[2305].start 9161.36721875
transcript.pyannote[2305].end 9164.05034375
transcript.pyannote[2306].speaker SPEAKER_10
transcript.pyannote[2306].start 9162.66659375
transcript.pyannote[2306].end 9164.45534375
transcript.pyannote[2307].speaker SPEAKER_29
transcript.pyannote[2307].start 9164.50596875
transcript.pyannote[2307].end 9167.18909375
transcript.pyannote[2308].speaker SPEAKER_29
transcript.pyannote[2308].start 9167.98221875
transcript.pyannote[2308].end 9169.16346875
transcript.pyannote[2309].speaker SPEAKER_29
transcript.pyannote[2309].start 9169.78784375
transcript.pyannote[2309].end 9172.31909375
transcript.pyannote[2310].speaker SPEAKER_29
transcript.pyannote[2310].start 9173.28096875
transcript.pyannote[2310].end 9174.58034375
transcript.pyannote[2311].speaker SPEAKER_29
transcript.pyannote[2311].start 9175.05284375
transcript.pyannote[2311].end 9176.26784375
transcript.pyannote[2312].speaker SPEAKER_29
transcript.pyannote[2312].start 9176.97659375
transcript.pyannote[2312].end 9181.97159375
transcript.pyannote[2313].speaker SPEAKER_29
transcript.pyannote[2313].start 9182.96721875
transcript.pyannote[2313].end 9186.73034375
transcript.pyannote[2314].speaker SPEAKER_10
transcript.pyannote[2314].start 9187.13534375
transcript.pyannote[2314].end 9189.80159375
transcript.pyannote[2315].speaker SPEAKER_10
transcript.pyannote[2315].start 9190.13909375
transcript.pyannote[2315].end 9195.03284375
transcript.pyannote[2316].speaker SPEAKER_29
transcript.pyannote[2316].start 9193.91909375
transcript.pyannote[2316].end 9195.01596875
transcript.pyannote[2317].speaker SPEAKER_29
transcript.pyannote[2317].start 9195.03284375
transcript.pyannote[2317].end 9195.79221875
transcript.pyannote[2318].speaker SPEAKER_10
transcript.pyannote[2318].start 9195.31971875
transcript.pyannote[2318].end 9195.80909375
transcript.pyannote[2319].speaker SPEAKER_29
transcript.pyannote[2319].start 9195.80909375
transcript.pyannote[2319].end 9196.73721875
transcript.pyannote[2320].speaker SPEAKER_29
transcript.pyannote[2320].start 9197.73284375
transcript.pyannote[2320].end 9200.04471875
transcript.pyannote[2321].speaker SPEAKER_29
transcript.pyannote[2321].start 9200.33159375
transcript.pyannote[2321].end 9201.37784375
transcript.pyannote[2322].speaker SPEAKER_29
transcript.pyannote[2322].start 9201.46221875
transcript.pyannote[2322].end 9203.70659375
transcript.pyannote[2323].speaker SPEAKER_29
transcript.pyannote[2323].start 9204.09471875
transcript.pyannote[2323].end 9205.42784375
transcript.pyannote[2324].speaker SPEAKER_29
transcript.pyannote[2324].start 9206.11971875
transcript.pyannote[2324].end 9207.50346875
transcript.pyannote[2325].speaker SPEAKER_29
transcript.pyannote[2325].start 9208.11096875
transcript.pyannote[2325].end 9208.87034375
transcript.pyannote[2326].speaker SPEAKER_29
transcript.pyannote[2326].start 9209.10659375
transcript.pyannote[2326].end 9212.11034375
transcript.pyannote[2327].speaker SPEAKER_29
transcript.pyannote[2327].start 9212.38034375
transcript.pyannote[2327].end 9213.59534375
transcript.pyannote[2328].speaker SPEAKER_29
transcript.pyannote[2328].start 9213.88221875
transcript.pyannote[2328].end 9215.70471875
transcript.pyannote[2329].speaker SPEAKER_29
transcript.pyannote[2329].start 9217.27409375
transcript.pyannote[2329].end 9220.09221875
transcript.pyannote[2330].speaker SPEAKER_29
transcript.pyannote[2330].start 9221.54346875
transcript.pyannote[2330].end 9222.53909375
transcript.pyannote[2331].speaker SPEAKER_29
transcript.pyannote[2331].start 9223.24784375
transcript.pyannote[2331].end 9225.12096875
transcript.pyannote[2332].speaker SPEAKER_10
transcript.pyannote[2332].start 9223.31534375
transcript.pyannote[2332].end 9223.85534375
transcript.pyannote[2333].speaker SPEAKER_10
transcript.pyannote[2333].start 9224.81721875
transcript.pyannote[2333].end 9225.67784375
transcript.pyannote[2334].speaker SPEAKER_29
transcript.pyannote[2334].start 9225.67784375
transcript.pyannote[2334].end 9233.71034375
transcript.pyannote[2335].speaker SPEAKER_10
transcript.pyannote[2335].start 9230.85846875
transcript.pyannote[2335].end 9242.94096875
transcript.pyannote[2336].speaker SPEAKER_10
transcript.pyannote[2336].start 9243.21096875
transcript.pyannote[2336].end 9245.03346875
transcript.pyannote[2337].speaker SPEAKER_29
transcript.pyannote[2337].start 9244.00409375
transcript.pyannote[2337].end 9246.19784375
transcript.pyannote[2338].speaker SPEAKER_29
transcript.pyannote[2338].start 9246.70409375
transcript.pyannote[2338].end 9248.76284375
transcript.pyannote[2339].speaker SPEAKER_29
transcript.pyannote[2339].start 9249.04971875
transcript.pyannote[2339].end 9249.91034375
transcript.pyannote[2340].speaker SPEAKER_29
transcript.pyannote[2340].start 9250.26471875
transcript.pyannote[2340].end 9254.95596875
transcript.pyannote[2341].speaker SPEAKER_29
transcript.pyannote[2341].start 9255.86721875
transcript.pyannote[2341].end 9260.42346875
transcript.pyannote[2342].speaker SPEAKER_29
transcript.pyannote[2342].start 9261.08159375
transcript.pyannote[2342].end 9261.60471875
transcript.pyannote[2343].speaker SPEAKER_29
transcript.pyannote[2343].start 9261.94221875
transcript.pyannote[2343].end 9266.68409375
transcript.pyannote[2344].speaker SPEAKER_29
transcript.pyannote[2344].start 9267.49409375
transcript.pyannote[2344].end 9268.03409375
transcript.pyannote[2345].speaker SPEAKER_29
transcript.pyannote[2345].start 9269.04659375
transcript.pyannote[2345].end 9269.97471875
transcript.pyannote[2346].speaker SPEAKER_29
transcript.pyannote[2346].start 9270.53159375
transcript.pyannote[2346].end 9271.89846875
transcript.pyannote[2347].speaker SPEAKER_10
transcript.pyannote[2347].start 9272.42159375
transcript.pyannote[2347].end 9273.24846875
transcript.pyannote[2348].speaker SPEAKER_29
transcript.pyannote[2348].start 9274.32846875
transcript.pyannote[2348].end 9275.30721875
transcript.pyannote[2349].speaker SPEAKER_29
transcript.pyannote[2349].start 9275.76284375
transcript.pyannote[2349].end 9278.53034375
transcript.pyannote[2350].speaker SPEAKER_29
transcript.pyannote[2350].start 9278.91846875
transcript.pyannote[2350].end 9281.38221875
transcript.pyannote[2351].speaker SPEAKER_10
transcript.pyannote[2351].start 9280.43721875
transcript.pyannote[2351].end 9282.93471875
transcript.pyannote[2352].speaker SPEAKER_29
transcript.pyannote[2352].start 9282.27659375
transcript.pyannote[2352].end 9290.51159375
transcript.pyannote[2353].speaker SPEAKER_10
transcript.pyannote[2353].start 9284.84159375
transcript.pyannote[2353].end 9286.41096875
transcript.pyannote[2354].speaker SPEAKER_10
transcript.pyannote[2354].start 9288.65534375
transcript.pyannote[2354].end 9290.19096875
transcript.pyannote[2355].speaker SPEAKER_10
transcript.pyannote[2355].start 9290.51159375
transcript.pyannote[2355].end 9291.30471875
transcript.pyannote[2356].speaker SPEAKER_29
transcript.pyannote[2356].start 9290.57909375
transcript.pyannote[2356].end 9290.83221875
transcript.pyannote[2357].speaker SPEAKER_30
transcript.pyannote[2357].start 9296.97471875
transcript.pyannote[2357].end 9297.70034375
transcript.pyannote[2358].speaker SPEAKER_30
transcript.pyannote[2358].start 9298.07159375
transcript.pyannote[2358].end 9303.01596875
transcript.pyannote[2359].speaker SPEAKER_30
transcript.pyannote[2359].start 9303.42096875
transcript.pyannote[2359].end 9304.97346875
transcript.pyannote[2360].speaker SPEAKER_30
transcript.pyannote[2360].start 9306.40784375
transcript.pyannote[2360].end 9311.11596875
transcript.pyannote[2361].speaker SPEAKER_30
transcript.pyannote[2361].start 9312.19596875
transcript.pyannote[2361].end 9314.23784375
transcript.pyannote[2362].speaker SPEAKER_00
transcript.pyannote[2362].start 9313.56284375
transcript.pyannote[2362].end 9313.76534375
transcript.pyannote[2363].speaker SPEAKER_30
transcript.pyannote[2363].start 9314.96346875
transcript.pyannote[2363].end 9317.05596875
transcript.pyannote[2364].speaker SPEAKER_30
transcript.pyannote[2364].start 9318.55784375
transcript.pyannote[2364].end 9319.24971875
transcript.pyannote[2365].speaker SPEAKER_30
transcript.pyannote[2365].start 9320.00909375
transcript.pyannote[2365].end 9321.79784375
transcript.pyannote[2366].speaker SPEAKER_30
transcript.pyannote[2366].start 9322.37159375
transcript.pyannote[2366].end 9329.03721875
transcript.pyannote[2367].speaker SPEAKER_30
transcript.pyannote[2367].start 9330.23534375
transcript.pyannote[2367].end 9331.02846875
transcript.pyannote[2368].speaker SPEAKER_30
transcript.pyannote[2368].start 9331.18034375
transcript.pyannote[2368].end 9331.34909375
transcript.pyannote[2369].speaker SPEAKER_37
transcript.pyannote[2369].start 9334.48784375
transcript.pyannote[2369].end 9335.50034375
transcript.pyannote[2370].speaker SPEAKER_37
transcript.pyannote[2370].start 9338.58846875
transcript.pyannote[2370].end 9343.65096875
transcript.pyannote[2371].speaker SPEAKER_37
transcript.pyannote[2371].start 9357.52221875
transcript.pyannote[2371].end 9363.58034375
transcript.pyannote[2372].speaker SPEAKER_40
transcript.pyannote[2372].start 9377.28284375
transcript.pyannote[2372].end 9380.11784375
transcript.pyannote[2373].speaker SPEAKER_37
transcript.pyannote[2373].start 9380.82659375
transcript.pyannote[2373].end 9383.49284375
transcript.pyannote[2374].speaker SPEAKER_40
transcript.pyannote[2374].start 9393.87096875
transcript.pyannote[2374].end 9394.52909375
transcript.pyannote[2375].speaker SPEAKER_40
transcript.pyannote[2375].start 9395.69346875
transcript.pyannote[2375].end 9396.95909375
transcript.pyannote[2376].speaker SPEAKER_40
transcript.pyannote[2376].start 9397.58346875
transcript.pyannote[2376].end 9398.41034375
transcript.pyannote[2377].speaker SPEAKER_40
transcript.pyannote[2377].start 9398.83221875
transcript.pyannote[2377].end 9432.75096875
transcript.pyannote[2378].speaker SPEAKER_40
transcript.pyannote[2378].start 9433.35846875
transcript.pyannote[2378].end 9437.30721875
transcript.pyannote[2379].speaker SPEAKER_40
transcript.pyannote[2379].start 9437.61096875
transcript.pyannote[2379].end 9440.86784375
transcript.pyannote[2380].speaker SPEAKER_40
transcript.pyannote[2380].start 9441.23909375
transcript.pyannote[2380].end 9443.87159375
transcript.pyannote[2381].speaker SPEAKER_40
transcript.pyannote[2381].start 9444.22596875
transcript.pyannote[2381].end 9445.03596875
transcript.pyannote[2382].speaker SPEAKER_40
transcript.pyannote[2382].start 9445.23846875
transcript.pyannote[2382].end 9447.29721875
transcript.pyannote[2383].speaker SPEAKER_40
transcript.pyannote[2383].start 9447.68534375
transcript.pyannote[2383].end 9450.73971875
transcript.pyannote[2384].speaker SPEAKER_40
transcript.pyannote[2384].start 9450.95909375
transcript.pyannote[2384].end 9453.03471875
transcript.pyannote[2385].speaker SPEAKER_40
transcript.pyannote[2385].start 9453.25409375
transcript.pyannote[2385].end 9457.35471875
transcript.pyannote[2386].speaker SPEAKER_40
transcript.pyannote[2386].start 9457.54034375
transcript.pyannote[2386].end 9459.22784375
transcript.pyannote[2387].speaker SPEAKER_40
transcript.pyannote[2387].start 9459.41346875
transcript.pyannote[2387].end 9459.66659375
transcript.pyannote[2388].speaker SPEAKER_40
transcript.pyannote[2388].start 9459.93659375
transcript.pyannote[2388].end 9467.29409375
transcript.pyannote[2389].speaker SPEAKER_40
transcript.pyannote[2389].start 9467.61471875
transcript.pyannote[2389].end 9477.18284375
transcript.pyannote[2390].speaker SPEAKER_00
transcript.pyannote[2390].start 9471.76596875
transcript.pyannote[2390].end 9471.81659375
transcript.pyannote[2391].speaker SPEAKER_00
transcript.pyannote[2391].start 9475.76534375
transcript.pyannote[2391].end 9475.78221875
transcript.pyannote[2392].speaker SPEAKER_09
transcript.pyannote[2392].start 9475.78221875
transcript.pyannote[2392].end 9476.03534375
transcript.pyannote[2393].speaker SPEAKER_40
transcript.pyannote[2393].start 9477.55409375
transcript.pyannote[2393].end 9477.82409375
transcript.pyannote[2394].speaker SPEAKER_40
transcript.pyannote[2394].start 9478.09409375
transcript.pyannote[2394].end 9481.99221875
transcript.pyannote[2395].speaker SPEAKER_40
transcript.pyannote[2395].start 9482.04284375
transcript.pyannote[2395].end 9486.95346875
transcript.pyannote[2396].speaker SPEAKER_40
transcript.pyannote[2396].start 9487.34159375
transcript.pyannote[2396].end 9492.87659375
transcript.pyannote[2397].speaker SPEAKER_40
transcript.pyannote[2397].start 9493.51784375
transcript.pyannote[2397].end 9495.20534375
transcript.pyannote[2398].speaker SPEAKER_40
transcript.pyannote[2398].start 9495.62721875
transcript.pyannote[2398].end 9496.45409375
transcript.pyannote[2399].speaker SPEAKER_40
transcript.pyannote[2399].start 9496.82534375
transcript.pyannote[2399].end 9500.75721875
transcript.pyannote[2400].speaker SPEAKER_40
transcript.pyannote[2400].start 9500.97659375
transcript.pyannote[2400].end 9502.19159375
transcript.pyannote[2401].speaker SPEAKER_40
transcript.pyannote[2401].start 9502.41096875
transcript.pyannote[2401].end 9504.36846875
transcript.pyannote[2402].speaker SPEAKER_40
transcript.pyannote[2402].start 9504.67221875
transcript.pyannote[2402].end 9506.76471875
transcript.pyannote[2403].speaker SPEAKER_40
transcript.pyannote[2403].start 9507.16971875
transcript.pyannote[2403].end 9510.49409375
transcript.pyannote[2404].speaker SPEAKER_40
transcript.pyannote[2404].start 9510.86534375
transcript.pyannote[2404].end 9514.05471875
transcript.pyannote[2405].speaker SPEAKER_40
transcript.pyannote[2405].start 9514.17284375
transcript.pyannote[2405].end 9516.16409375
transcript.pyannote[2406].speaker SPEAKER_40
transcript.pyannote[2406].start 9516.48471875
transcript.pyannote[2406].end 9519.16784375
transcript.pyannote[2407].speaker SPEAKER_40
transcript.pyannote[2407].start 9519.55596875
transcript.pyannote[2407].end 9520.39971875
transcript.pyannote[2408].speaker SPEAKER_40
transcript.pyannote[2408].start 9520.75409375
transcript.pyannote[2408].end 9521.34471875
transcript.pyannote[2409].speaker SPEAKER_40
transcript.pyannote[2409].start 9521.53034375
transcript.pyannote[2409].end 9523.20096875
transcript.pyannote[2410].speaker SPEAKER_40
transcript.pyannote[2410].start 9523.53846875
transcript.pyannote[2410].end 9524.46659375
transcript.pyannote[2411].speaker SPEAKER_40
transcript.pyannote[2411].start 9525.07409375
transcript.pyannote[2411].end 9530.98034375
transcript.pyannote[2412].speaker SPEAKER_10
transcript.pyannote[2412].start 9531.63846875
transcript.pyannote[2412].end 9532.53284375
transcript.pyannote[2413].speaker SPEAKER_10
transcript.pyannote[2413].start 9532.83659375
transcript.pyannote[2413].end 9539.26596875
transcript.pyannote[2414].speaker SPEAKER_10
transcript.pyannote[2414].start 9539.80596875
transcript.pyannote[2414].end 9541.98284375
transcript.pyannote[2415].speaker SPEAKER_10
transcript.pyannote[2415].start 9542.08409375
transcript.pyannote[2415].end 9549.18846875
transcript.pyannote[2416].speaker SPEAKER_10
transcript.pyannote[2416].start 9549.45846875
transcript.pyannote[2416].end 9551.12909375
transcript.pyannote[2417].speaker SPEAKER_10
transcript.pyannote[2417].start 9551.70284375
transcript.pyannote[2417].end 9552.76596875
transcript.pyannote[2418].speaker SPEAKER_10
transcript.pyannote[2418].start 9553.20471875
transcript.pyannote[2418].end 9556.69784375
transcript.pyannote[2419].speaker SPEAKER_10
transcript.pyannote[2419].start 9556.96784375
transcript.pyannote[2419].end 9560.41034375
transcript.pyannote[2420].speaker SPEAKER_10
transcript.pyannote[2420].start 9560.79846875
transcript.pyannote[2420].end 9562.13159375
transcript.pyannote[2421].speaker SPEAKER_10
transcript.pyannote[2421].start 9562.58721875
transcript.pyannote[2421].end 9562.92471875
transcript.pyannote[2422].speaker SPEAKER_10
transcript.pyannote[2422].start 9563.16096875
transcript.pyannote[2422].end 9565.40534375
transcript.pyannote[2423].speaker SPEAKER_10
transcript.pyannote[2423].start 9565.75971875
transcript.pyannote[2423].end 9568.89846875
transcript.pyannote[2424].speaker SPEAKER_10
transcript.pyannote[2424].start 9568.99971875
transcript.pyannote[2424].end 9572.72909375
transcript.pyannote[2425].speaker SPEAKER_10
transcript.pyannote[2425].start 9573.01596875
transcript.pyannote[2425].end 9576.79596875
transcript.pyannote[2426].speaker SPEAKER_40
transcript.pyannote[2426].start 9577.28534375
transcript.pyannote[2426].end 9583.39409375
transcript.pyannote[2427].speaker SPEAKER_26
transcript.pyannote[2427].start 9583.90034375
transcript.pyannote[2427].end 9589.03034375
transcript.pyannote[2428].speaker SPEAKER_26
transcript.pyannote[2428].start 9589.35096875
transcript.pyannote[2428].end 9591.83159375
transcript.pyannote[2429].speaker SPEAKER_26
transcript.pyannote[2429].start 9592.08471875
transcript.pyannote[2429].end 9594.16034375
transcript.pyannote[2430].speaker SPEAKER_26
transcript.pyannote[2430].start 9594.63284375
transcript.pyannote[2430].end 9595.59471875
transcript.pyannote[2431].speaker SPEAKER_26
transcript.pyannote[2431].start 9595.94909375
transcript.pyannote[2431].end 9600.21846875
transcript.pyannote[2432].speaker SPEAKER_26
transcript.pyannote[2432].start 9600.47159375
transcript.pyannote[2432].end 9601.80471875
transcript.pyannote[2433].speaker SPEAKER_26
transcript.pyannote[2433].start 9602.19284375
transcript.pyannote[2433].end 9603.49221875
transcript.pyannote[2434].speaker SPEAKER_26
transcript.pyannote[2434].start 9603.94784375
transcript.pyannote[2434].end 9604.57221875
transcript.pyannote[2435].speaker SPEAKER_26
transcript.pyannote[2435].start 9604.75784375
transcript.pyannote[2435].end 9608.52096875
transcript.pyannote[2436].speaker SPEAKER_26
transcript.pyannote[2436].start 9608.75721875
transcript.pyannote[2436].end 9609.98909375
transcript.pyannote[2437].speaker SPEAKER_26
transcript.pyannote[2437].start 9610.41096875
transcript.pyannote[2437].end 9615.87846875
transcript.pyannote[2438].speaker SPEAKER_26
transcript.pyannote[2438].start 9616.11471875
transcript.pyannote[2438].end 9619.92846875
transcript.pyannote[2439].speaker SPEAKER_26
transcript.pyannote[2439].start 9620.02971875
transcript.pyannote[2439].end 9621.49784375
transcript.pyannote[2440].speaker SPEAKER_26
transcript.pyannote[2440].start 9621.85221875
transcript.pyannote[2440].end 9623.10096875
transcript.pyannote[2441].speaker SPEAKER_26
transcript.pyannote[2441].start 9623.48909375
transcript.pyannote[2441].end 9626.74596875
transcript.pyannote[2442].speaker SPEAKER_26
transcript.pyannote[2442].start 9626.96534375
transcript.pyannote[2442].end 9628.50096875
transcript.pyannote[2443].speaker SPEAKER_26
transcript.pyannote[2443].start 9628.92284375
transcript.pyannote[2443].end 9629.83409375
transcript.pyannote[2444].speaker SPEAKER_26
transcript.pyannote[2444].start 9630.30659375
transcript.pyannote[2444].end 9635.48721875
transcript.pyannote[2445].speaker SPEAKER_26
transcript.pyannote[2445].start 9635.74034375
transcript.pyannote[2445].end 9638.18721875
transcript.pyannote[2446].speaker SPEAKER_26
transcript.pyannote[2446].start 9638.37284375
transcript.pyannote[2446].end 9640.54971875
transcript.pyannote[2447].speaker SPEAKER_26
transcript.pyannote[2447].start 9640.81971875
transcript.pyannote[2447].end 9641.52846875
transcript.pyannote[2448].speaker SPEAKER_26
transcript.pyannote[2448].start 9641.76471875
transcript.pyannote[2448].end 9646.89471875
transcript.pyannote[2449].speaker SPEAKER_26
transcript.pyannote[2449].start 9647.14784375
transcript.pyannote[2449].end 9653.83034375
transcript.pyannote[2450].speaker SPEAKER_26
transcript.pyannote[2450].start 9654.08346875
transcript.pyannote[2450].end 9658.92659375
transcript.pyannote[2451].speaker SPEAKER_26
transcript.pyannote[2451].start 9659.09534375
transcript.pyannote[2451].end 9661.55909375
transcript.pyannote[2452].speaker SPEAKER_26
transcript.pyannote[2452].start 9661.71096875
transcript.pyannote[2452].end 9662.65596875
transcript.pyannote[2453].speaker SPEAKER_26
transcript.pyannote[2453].start 9662.94284375
transcript.pyannote[2453].end 9666.13221875
transcript.pyannote[2454].speaker SPEAKER_26
transcript.pyannote[2454].start 9666.26721875
transcript.pyannote[2454].end 9676.02096875
transcript.pyannote[2455].speaker SPEAKER_26
transcript.pyannote[2455].start 9676.24034375
transcript.pyannote[2455].end 9686.34846875
transcript.pyannote[2456].speaker SPEAKER_26
transcript.pyannote[2456].start 9686.65221875
transcript.pyannote[2456].end 9689.60534375
transcript.pyannote[2457].speaker SPEAKER_26
transcript.pyannote[2457].start 9690.02721875
transcript.pyannote[2457].end 9692.55846875
transcript.pyannote[2458].speaker SPEAKER_26
transcript.pyannote[2458].start 9692.89596875
transcript.pyannote[2458].end 9696.10221875
transcript.pyannote[2459].speaker SPEAKER_26
transcript.pyannote[2459].start 9696.22034375
transcript.pyannote[2459].end 9697.36784375
transcript.pyannote[2460].speaker SPEAKER_26
transcript.pyannote[2460].start 9697.60409375
transcript.pyannote[2460].end 9698.61659375
transcript.pyannote[2461].speaker SPEAKER_26
transcript.pyannote[2461].start 9699.00471875
transcript.pyannote[2461].end 9699.13971875
transcript.pyannote[2462].speaker SPEAKER_26
transcript.pyannote[2462].start 9699.47721875
transcript.pyannote[2462].end 9703.54409375
transcript.pyannote[2463].speaker SPEAKER_26
transcript.pyannote[2463].start 9703.74659375
transcript.pyannote[2463].end 9706.04159375
transcript.pyannote[2464].speaker SPEAKER_40
transcript.pyannote[2464].start 9706.34534375
transcript.pyannote[2464].end 9708.18471875
transcript.pyannote[2465].speaker SPEAKER_40
transcript.pyannote[2465].start 9708.42096875
transcript.pyannote[2465].end 9715.42409375
transcript.pyannote[2466].speaker SPEAKER_40
transcript.pyannote[2466].start 9715.54221875
transcript.pyannote[2466].end 9722.22471875
transcript.pyannote[2467].speaker SPEAKER_40
transcript.pyannote[2467].start 9722.52846875
transcript.pyannote[2467].end 9731.45534375
transcript.pyannote[2468].speaker SPEAKER_00
transcript.pyannote[2468].start 9729.68346875
transcript.pyannote[2468].end 9730.05471875
transcript.pyannote[2469].speaker SPEAKER_40
transcript.pyannote[2469].start 9731.69159375
transcript.pyannote[2469].end 9736.70346875
transcript.pyannote[2470].speaker SPEAKER_40
transcript.pyannote[2470].start 9736.90596875
transcript.pyannote[2470].end 9755.51909375
transcript.pyannote[2471].speaker SPEAKER_40
transcript.pyannote[2471].start 9755.82284375
transcript.pyannote[2471].end 9757.44284375
transcript.pyannote[2472].speaker SPEAKER_40
transcript.pyannote[2472].start 9757.72971875
transcript.pyannote[2472].end 9758.52284375
transcript.pyannote[2473].speaker SPEAKER_40
transcript.pyannote[2473].start 9759.11346875
transcript.pyannote[2473].end 9761.81346875
transcript.pyannote[2474].speaker SPEAKER_40
transcript.pyannote[2474].start 9762.20159375
transcript.pyannote[2474].end 9765.18846875
transcript.pyannote[2475].speaker SPEAKER_40
transcript.pyannote[2475].start 9765.44159375
transcript.pyannote[2475].end 9767.90534375
transcript.pyannote[2476].speaker SPEAKER_40
transcript.pyannote[2476].start 9768.04034375
transcript.pyannote[2476].end 9772.95096875
transcript.pyannote[2477].speaker SPEAKER_40
transcript.pyannote[2477].start 9773.32221875
transcript.pyannote[2477].end 9775.68471875
transcript.pyannote[2478].speaker SPEAKER_40
transcript.pyannote[2478].start 9775.90409375
transcript.pyannote[2478].end 9783.22784375
transcript.pyannote[2479].speaker SPEAKER_40
transcript.pyannote[2479].start 9783.78471875
transcript.pyannote[2479].end 9793.31909375
transcript.pyannote[2480].speaker SPEAKER_40
transcript.pyannote[2480].start 9793.72409375
transcript.pyannote[2480].end 9795.78284375
transcript.pyannote[2481].speaker SPEAKER_40
transcript.pyannote[2481].start 9796.25534375
transcript.pyannote[2481].end 9797.55471875
transcript.pyannote[2482].speaker SPEAKER_40
transcript.pyannote[2482].start 9797.92596875
transcript.pyannote[2482].end 9801.65534375
transcript.pyannote[2483].speaker SPEAKER_40
transcript.pyannote[2483].start 9802.06034375
transcript.pyannote[2483].end 9808.97909375
transcript.pyannote[2484].speaker SPEAKER_40
transcript.pyannote[2484].start 9809.38409375
transcript.pyannote[2484].end 9816.26909375
transcript.pyannote[2485].speaker SPEAKER_40
transcript.pyannote[2485].start 9816.52221875
transcript.pyannote[2485].end 9819.15471875
transcript.pyannote[2486].speaker SPEAKER_40
transcript.pyannote[2486].start 9819.52596875
transcript.pyannote[2486].end 9822.15846875
transcript.pyannote[2487].speaker SPEAKER_40
transcript.pyannote[2487].start 9822.54659375
transcript.pyannote[2487].end 9826.74846875
transcript.pyannote[2488].speaker SPEAKER_40
transcript.pyannote[2488].start 9826.86659375
transcript.pyannote[2488].end 9826.88346875
transcript.pyannote[2489].speaker SPEAKER_10
transcript.pyannote[2489].start 9826.88346875
transcript.pyannote[2489].end 9826.90034375
transcript.pyannote[2490].speaker SPEAKER_40
transcript.pyannote[2490].start 9826.90034375
transcript.pyannote[2490].end 9826.96784375
transcript.pyannote[2491].speaker SPEAKER_10
transcript.pyannote[2491].start 9826.96784375
transcript.pyannote[2491].end 9833.02596875
transcript.pyannote[2492].speaker SPEAKER_10
transcript.pyannote[2492].start 9833.53221875
transcript.pyannote[2492].end 9835.35471875
transcript.pyannote[2493].speaker SPEAKER_10
transcript.pyannote[2493].start 9835.48971875
transcript.pyannote[2493].end 9836.67096875
transcript.pyannote[2494].speaker SPEAKER_10
transcript.pyannote[2494].start 9836.83971875
transcript.pyannote[2494].end 9838.54409375
transcript.pyannote[2495].speaker SPEAKER_10
transcript.pyannote[2495].start 9838.88159375
transcript.pyannote[2495].end 9840.36659375
transcript.pyannote[2496].speaker SPEAKER_10
transcript.pyannote[2496].start 9840.83909375
transcript.pyannote[2496].end 9842.49284375
transcript.pyannote[2497].speaker SPEAKER_10
transcript.pyannote[2497].start 9843.11721875
transcript.pyannote[2497].end 9843.75846875
transcript.pyannote[2498].speaker SPEAKER_10
transcript.pyannote[2498].start 9844.33221875
transcript.pyannote[2498].end 9844.77096875
transcript.pyannote[2499].speaker SPEAKER_10
transcript.pyannote[2499].start 9845.27721875
transcript.pyannote[2499].end 9846.84659375
transcript.pyannote[2500].speaker SPEAKER_10
transcript.pyannote[2500].start 9847.18409375
transcript.pyannote[2500].end 9849.83346875
transcript.pyannote[2501].speaker SPEAKER_10
transcript.pyannote[2501].start 9850.15409375
transcript.pyannote[2501].end 9850.50846875
transcript.pyannote[2502].speaker SPEAKER_10
transcript.pyannote[2502].start 9850.86284375
transcript.pyannote[2502].end 9851.97659375
transcript.pyannote[2503].speaker SPEAKER_10
transcript.pyannote[2503].start 9852.33096875
transcript.pyannote[2503].end 9854.15346875
transcript.pyannote[2504].speaker SPEAKER_10
transcript.pyannote[2504].start 9854.52471875
transcript.pyannote[2504].end 9855.73971875
transcript.pyannote[2505].speaker SPEAKER_10
transcript.pyannote[2505].start 9856.02659375
transcript.pyannote[2505].end 9859.06409375
transcript.pyannote[2506].speaker SPEAKER_10
transcript.pyannote[2506].start 9859.14846875
transcript.pyannote[2506].end 9860.32971875
transcript.pyannote[2507].speaker SPEAKER_10
transcript.pyannote[2507].start 9860.95409375
transcript.pyannote[2507].end 9862.86096875
transcript.pyannote[2508].speaker SPEAKER_10
transcript.pyannote[2508].start 9863.14784375
transcript.pyannote[2508].end 9864.10971875
transcript.pyannote[2509].speaker SPEAKER_10
transcript.pyannote[2509].start 9864.41346875
transcript.pyannote[2509].end 9865.29096875
transcript.pyannote[2510].speaker SPEAKER_10
transcript.pyannote[2510].start 9865.64534375
transcript.pyannote[2510].end 9867.11346875
transcript.pyannote[2511].speaker SPEAKER_10
transcript.pyannote[2511].start 9867.23159375
transcript.pyannote[2511].end 9868.56471875
transcript.pyannote[2512].speaker SPEAKER_10
transcript.pyannote[2512].start 9868.86846875
transcript.pyannote[2512].end 9871.51784375
transcript.pyannote[2513].speaker SPEAKER_10
transcript.pyannote[2513].start 9871.68659375
transcript.pyannote[2513].end 9874.06596875
transcript.pyannote[2514].speaker SPEAKER_10
transcript.pyannote[2514].start 9874.48784375
transcript.pyannote[2514].end 9875.33159375
transcript.pyannote[2515].speaker SPEAKER_10
transcript.pyannote[2515].start 9875.75346875
transcript.pyannote[2515].end 9878.97659375
transcript.pyannote[2516].speaker SPEAKER_10
transcript.pyannote[2516].start 9879.19596875
transcript.pyannote[2516].end 9880.34346875
transcript.pyannote[2517].speaker SPEAKER_10
transcript.pyannote[2517].start 9880.74846875
transcript.pyannote[2517].end 9882.60471875
transcript.pyannote[2518].speaker SPEAKER_10
transcript.pyannote[2518].start 9882.97596875
transcript.pyannote[2518].end 9885.69284375
transcript.pyannote[2519].speaker SPEAKER_10
transcript.pyannote[2519].start 9885.76034375
transcript.pyannote[2519].end 9887.05971875
transcript.pyannote[2520].speaker SPEAKER_10
transcript.pyannote[2520].start 9887.73471875
transcript.pyannote[2520].end 9890.95784375
transcript.pyannote[2521].speaker SPEAKER_10
transcript.pyannote[2521].start 9891.32909375
transcript.pyannote[2521].end 9893.06721875
transcript.pyannote[2522].speaker SPEAKER_10
transcript.pyannote[2522].start 9893.38784375
transcript.pyannote[2522].end 9897.82596875
transcript.pyannote[2523].speaker SPEAKER_40
transcript.pyannote[2523].start 9898.46721875
transcript.pyannote[2523].end 9901.15034375
transcript.pyannote[2524].speaker SPEAKER_40
transcript.pyannote[2524].start 9901.45409375
transcript.pyannote[2524].end 9905.53784375
transcript.pyannote[2525].speaker SPEAKER_36
transcript.pyannote[2525].start 9905.06534375
transcript.pyannote[2525].end 9905.45346875
transcript.pyannote[2526].speaker SPEAKER_36
transcript.pyannote[2526].start 9905.53784375
transcript.pyannote[2526].end 9905.63909375
transcript.pyannote[2527].speaker SPEAKER_40
transcript.pyannote[2527].start 9905.63909375
transcript.pyannote[2527].end 9906.80346875
transcript.pyannote[2528].speaker SPEAKER_40
transcript.pyannote[2528].start 9907.10721875
transcript.pyannote[2528].end 9908.76096875
transcript.pyannote[2529].speaker SPEAKER_40
transcript.pyannote[2529].start 9909.03096875
transcript.pyannote[2529].end 9917.80596875
transcript.pyannote[2530].speaker SPEAKER_40
transcript.pyannote[2530].start 9918.26159375
transcript.pyannote[2530].end 9919.44284375
transcript.pyannote[2531].speaker SPEAKER_40
transcript.pyannote[2531].start 9919.93221875
transcript.pyannote[2531].end 9920.94471875
transcript.pyannote[2532].speaker SPEAKER_40
transcript.pyannote[2532].start 9921.77159375
transcript.pyannote[2532].end 9929.77034375
transcript.pyannote[2533].speaker SPEAKER_40
transcript.pyannote[2533].start 9929.93909375
transcript.pyannote[2533].end 9935.55846875
transcript.pyannote[2534].speaker SPEAKER_40
transcript.pyannote[2534].start 9935.81159375
transcript.pyannote[2534].end 9936.25034375
transcript.pyannote[2535].speaker SPEAKER_40
transcript.pyannote[2535].start 9937.11096875
transcript.pyannote[2535].end 9940.90784375
transcript.pyannote[2536].speaker SPEAKER_40
transcript.pyannote[2536].start 9941.22846875
transcript.pyannote[2536].end 9946.32471875
transcript.pyannote[2537].speaker SPEAKER_36
transcript.pyannote[2537].start 9946.18971875
transcript.pyannote[2537].end 9946.24034375
transcript.pyannote[2538].speaker SPEAKER_36
transcript.pyannote[2538].start 9946.32471875
transcript.pyannote[2538].end 9948.46784375
transcript.pyannote[2539].speaker SPEAKER_40
transcript.pyannote[2539].start 9947.35409375
transcript.pyannote[2539].end 9952.68659375
transcript.pyannote[2540].speaker SPEAKER_40
transcript.pyannote[2540].start 9953.05784375
transcript.pyannote[2540].end 9955.67346875
transcript.pyannote[2541].speaker SPEAKER_40
transcript.pyannote[2541].start 9956.12909375
transcript.pyannote[2541].end 9958.08659375
transcript.pyannote[2542].speaker SPEAKER_40
transcript.pyannote[2542].start 9958.30596875
transcript.pyannote[2542].end 9961.49534375
transcript.pyannote[2543].speaker SPEAKER_40
transcript.pyannote[2543].start 9961.64721875
transcript.pyannote[2543].end 9966.11909375
transcript.pyannote[2544].speaker SPEAKER_10
transcript.pyannote[2544].start 9966.67596875
transcript.pyannote[2544].end 9968.51534375
transcript.pyannote[2545].speaker SPEAKER_10
transcript.pyannote[2545].start 9968.88659375
transcript.pyannote[2545].end 9969.32534375
transcript.pyannote[2546].speaker SPEAKER_10
transcript.pyannote[2546].start 9969.88221875
transcript.pyannote[2546].end 9976.39596875
transcript.pyannote[2547].speaker SPEAKER_10
transcript.pyannote[2547].start 9976.93596875
transcript.pyannote[2547].end 9977.67846875
transcript.pyannote[2548].speaker SPEAKER_10
transcript.pyannote[2548].start 9977.98221875
transcript.pyannote[2548].end 9982.11659375
transcript.pyannote[2549].speaker SPEAKER_10
transcript.pyannote[2549].start 9982.30221875
transcript.pyannote[2549].end 9983.21346875
transcript.pyannote[2550].speaker SPEAKER_10
transcript.pyannote[2550].start 9983.48346875
transcript.pyannote[2550].end 9985.45784375
transcript.pyannote[2551].speaker SPEAKER_10
transcript.pyannote[2551].start 9985.84596875
transcript.pyannote[2551].end 9992.93346875
transcript.pyannote[2552].speaker SPEAKER_10
transcript.pyannote[2552].start 9993.10221875
transcript.pyannote[2552].end 9996.96659375
transcript.pyannote[2553].speaker SPEAKER_10
transcript.pyannote[2553].start 9997.32096875
transcript.pyannote[2553].end 9999.14346875
transcript.pyannote[2554].speaker SPEAKER_10
transcript.pyannote[2554].start 9999.31221875
transcript.pyannote[2554].end 10000.17284375
transcript.pyannote[2555].speaker SPEAKER_10
transcript.pyannote[2555].start 10000.39221875
transcript.pyannote[2555].end 10002.94034375
transcript.pyannote[2556].speaker SPEAKER_40
transcript.pyannote[2556].start 10002.94034375
transcript.pyannote[2556].end 10002.97409375
transcript.pyannote[2557].speaker SPEAKER_40
transcript.pyannote[2557].start 10003.42971875
transcript.pyannote[2557].end 10008.20534375
transcript.pyannote[2558].speaker SPEAKER_40
transcript.pyannote[2558].start 10008.84659375
transcript.pyannote[2558].end 10011.51284375
transcript.pyannote[2559].speaker SPEAKER_40
transcript.pyannote[2559].start 10011.71534375
transcript.pyannote[2559].end 10014.80346875
transcript.pyannote[2560].speaker SPEAKER_40
transcript.pyannote[2560].start 10015.19159375
transcript.pyannote[2560].end 10017.63846875
transcript.pyannote[2561].speaker SPEAKER_40
transcript.pyannote[2561].start 10017.89159375
transcript.pyannote[2561].end 10019.83221875
transcript.pyannote[2562].speaker SPEAKER_40
transcript.pyannote[2562].start 10020.37221875
transcript.pyannote[2562].end 10024.74284375
transcript.pyannote[2563].speaker SPEAKER_40
transcript.pyannote[2563].start 10025.08034375
transcript.pyannote[2563].end 10036.26846875
transcript.pyannote[2564].speaker SPEAKER_40
transcript.pyannote[2564].start 10036.53846875
transcript.pyannote[2564].end 10042.59659375
transcript.pyannote[2565].speaker SPEAKER_40
transcript.pyannote[2565].start 10043.08596875
transcript.pyannote[2565].end 10045.53284375
transcript.pyannote[2566].speaker SPEAKER_40
transcript.pyannote[2566].start 10045.85346875
transcript.pyannote[2566].end 10049.09346875
transcript.pyannote[2567].speaker SPEAKER_10
transcript.pyannote[2567].start 10050.12284375
transcript.pyannote[2567].end 10051.62471875
transcript.pyannote[2568].speaker SPEAKER_10
transcript.pyannote[2568].start 10051.92846875
transcript.pyannote[2568].end 10054.88159375
transcript.pyannote[2569].speaker SPEAKER_40
transcript.pyannote[2569].start 10054.56096875
transcript.pyannote[2569].end 10057.39596875
transcript.pyannote[2570].speaker SPEAKER_10
transcript.pyannote[2570].start 10056.80534375
transcript.pyannote[2570].end 10058.56034375
transcript.pyannote[2571].speaker SPEAKER_40
transcript.pyannote[2571].start 10059.69096875
transcript.pyannote[2571].end 10064.48346875
transcript.pyannote[2572].speaker SPEAKER_40
transcript.pyannote[2572].start 10064.87159375
transcript.pyannote[2572].end 10069.74846875
transcript.pyannote[2573].speaker SPEAKER_40
transcript.pyannote[2573].start 10069.96784375
transcript.pyannote[2573].end 10074.38909375
transcript.pyannote[2574].speaker SPEAKER_40
transcript.pyannote[2574].start 10074.40596875
transcript.pyannote[2574].end 10080.10971875
transcript.pyannote[2575].speaker SPEAKER_00
transcript.pyannote[2575].start 10074.65909375
transcript.pyannote[2575].end 10074.86159375
transcript.pyannote[2576].speaker SPEAKER_40
transcript.pyannote[2576].start 10080.53159375
transcript.pyannote[2576].end 10081.83096875
transcript.pyannote[2577].speaker SPEAKER_40
transcript.pyannote[2577].start 10082.21909375
transcript.pyannote[2577].end 10083.33284375
transcript.pyannote[2578].speaker SPEAKER_40
transcript.pyannote[2578].start 10083.78846875
transcript.pyannote[2578].end 10085.44221875
transcript.pyannote[2579].speaker SPEAKER_40
transcript.pyannote[2579].start 10085.96534375
transcript.pyannote[2579].end 10087.60221875
transcript.pyannote[2580].speaker SPEAKER_40
transcript.pyannote[2580].start 10087.90596875
transcript.pyannote[2580].end 10090.23471875
transcript.pyannote[2581].speaker SPEAKER_40
transcript.pyannote[2581].start 10090.47096875
transcript.pyannote[2581].end 10091.92221875
transcript.pyannote[2582].speaker SPEAKER_40
transcript.pyannote[2582].start 10092.10784375
transcript.pyannote[2582].end 10092.95159375
transcript.pyannote[2583].speaker SPEAKER_40
transcript.pyannote[2583].start 10093.37346875
transcript.pyannote[2583].end 10097.03534375
transcript.pyannote[2584].speaker SPEAKER_40
transcript.pyannote[2584].start 10097.13659375
transcript.pyannote[2584].end 10098.14909375
transcript.pyannote[2585].speaker SPEAKER_40
transcript.pyannote[2585].start 10098.25034375
transcript.pyannote[2585].end 10099.41471875
transcript.pyannote[2586].speaker SPEAKER_40
transcript.pyannote[2586].start 10099.65096875
transcript.pyannote[2586].end 10101.72659375
transcript.pyannote[2587].speaker SPEAKER_40
transcript.pyannote[2587].start 10102.41846875
transcript.pyannote[2587].end 10104.35909375
transcript.pyannote[2588].speaker SPEAKER_40
transcript.pyannote[2588].start 10104.64596875
transcript.pyannote[2588].end 10106.63721875
transcript.pyannote[2589].speaker SPEAKER_40
transcript.pyannote[2589].start 10106.82284375
transcript.pyannote[2589].end 10109.84346875
transcript.pyannote[2590].speaker SPEAKER_40
transcript.pyannote[2590].start 10110.06284375
transcript.pyannote[2590].end 10113.40409375
transcript.pyannote[2591].speaker SPEAKER_40
transcript.pyannote[2591].start 10114.11284375
transcript.pyannote[2591].end 10115.34471875
transcript.pyannote[2592].speaker SPEAKER_38
transcript.pyannote[2592].start 10115.34471875
transcript.pyannote[2592].end 10121.99346875
transcript.pyannote[2593].speaker SPEAKER_38
transcript.pyannote[2593].start 10122.48284375
transcript.pyannote[2593].end 10129.68846875
transcript.pyannote[2594].speaker SPEAKER_38
transcript.pyannote[2594].start 10129.90784375
transcript.pyannote[2594].end 10143.96471875
transcript.pyannote[2595].speaker SPEAKER_38
transcript.pyannote[2595].start 10144.30221875
transcript.pyannote[2595].end 10154.47784375
transcript.pyannote[2596].speaker SPEAKER_38
transcript.pyannote[2596].start 10154.54534375
transcript.pyannote[2596].end 10160.11409375
transcript.pyannote[2597].speaker SPEAKER_40
transcript.pyannote[2597].start 10161.54846875
transcript.pyannote[2597].end 10165.75034375
transcript.pyannote[2598].speaker SPEAKER_40
transcript.pyannote[2598].start 10166.25659375
transcript.pyannote[2598].end 10171.03221875
transcript.pyannote[2599].speaker SPEAKER_38
transcript.pyannote[2599].start 10167.97784375
transcript.pyannote[2599].end 10168.14659375
transcript.pyannote[2600].speaker SPEAKER_40
transcript.pyannote[2600].start 10171.30221875
transcript.pyannote[2600].end 10173.02346875
transcript.pyannote[2601].speaker SPEAKER_40
transcript.pyannote[2601].start 10173.44534375
transcript.pyannote[2601].end 10175.31846875
transcript.pyannote[2602].speaker SPEAKER_40
transcript.pyannote[2602].start 10175.55471875
transcript.pyannote[2602].end 10177.25909375
transcript.pyannote[2603].speaker SPEAKER_40
transcript.pyannote[2603].start 10177.44471875
transcript.pyannote[2603].end 10179.13221875
transcript.pyannote[2604].speaker SPEAKER_40
transcript.pyannote[2604].start 10179.21659375
transcript.pyannote[2604].end 10183.67159375
transcript.pyannote[2605].speaker SPEAKER_40
transcript.pyannote[2605].start 10183.85721875
transcript.pyannote[2605].end 10185.88221875
transcript.pyannote[2606].speaker SPEAKER_40
transcript.pyannote[2606].start 10186.20284375
transcript.pyannote[2606].end 10196.81721875
transcript.pyannote[2607].speaker SPEAKER_40
transcript.pyannote[2607].start 10197.17159375
transcript.pyannote[2607].end 10200.74909375
transcript.pyannote[2608].speaker SPEAKER_40
transcript.pyannote[2608].start 10201.42409375
transcript.pyannote[2608].end 10202.41971875
transcript.pyannote[2609].speaker SPEAKER_40
transcript.pyannote[2609].start 10202.87534375
transcript.pyannote[2609].end 10203.92159375
transcript.pyannote[2610].speaker SPEAKER_40
transcript.pyannote[2610].start 10204.20846875
transcript.pyannote[2610].end 10205.89596875
transcript.pyannote[2611].speaker SPEAKER_40
transcript.pyannote[2611].start 10205.92971875
transcript.pyannote[2611].end 10207.95471875
transcript.pyannote[2612].speaker SPEAKER_36
transcript.pyannote[2612].start 10206.46971875
transcript.pyannote[2612].end 10206.80721875
transcript.pyannote[2613].speaker SPEAKER_36
transcript.pyannote[2613].start 10208.17409375
transcript.pyannote[2613].end 10208.52846875
transcript.pyannote[2614].speaker SPEAKER_40
transcript.pyannote[2614].start 10208.41034375
transcript.pyannote[2614].end 10211.36346875
transcript.pyannote[2615].speaker SPEAKER_40
transcript.pyannote[2615].start 10212.03846875
transcript.pyannote[2615].end 10213.59096875
transcript.pyannote[2616].speaker SPEAKER_40
transcript.pyannote[2616].start 10213.62471875
transcript.pyannote[2616].end 10216.00409375
transcript.pyannote[2617].speaker SPEAKER_40
transcript.pyannote[2617].start 10216.51034375
transcript.pyannote[2617].end 10217.79284375
transcript.pyannote[2618].speaker SPEAKER_40
transcript.pyannote[2618].start 10218.07971875
transcript.pyannote[2618].end 10222.02846875
transcript.pyannote[2619].speaker SPEAKER_38
transcript.pyannote[2619].start 10222.02846875
transcript.pyannote[2619].end 10222.33221875
transcript.pyannote[2620].speaker SPEAKER_38
transcript.pyannote[2620].start 10222.82159375
transcript.pyannote[2620].end 10230.38159375
transcript.pyannote[2621].speaker SPEAKER_38
transcript.pyannote[2621].start 10230.46596875
transcript.pyannote[2621].end 10234.71846875
transcript.pyannote[2622].speaker SPEAKER_38
transcript.pyannote[2622].start 10234.87034375
transcript.pyannote[2622].end 10237.87409375
transcript.pyannote[2623].speaker SPEAKER_38
transcript.pyannote[2623].start 10238.09346875
transcript.pyannote[2623].end 10239.78096875
transcript.pyannote[2624].speaker SPEAKER_38
transcript.pyannote[2624].start 10239.88221875
transcript.pyannote[2624].end 10243.49346875
transcript.pyannote[2625].speaker SPEAKER_38
transcript.pyannote[2625].start 10243.57784375
transcript.pyannote[2625].end 10247.47596875
transcript.pyannote[2626].speaker SPEAKER_38
transcript.pyannote[2626].start 10247.56034375
transcript.pyannote[2626].end 10250.09159375
transcript.pyannote[2627].speaker SPEAKER_38
transcript.pyannote[2627].start 10250.24346875
transcript.pyannote[2627].end 10257.83721875
transcript.pyannote[2628].speaker SPEAKER_38
transcript.pyannote[2628].start 10258.02284375
transcript.pyannote[2628].end 10259.20409375
transcript.pyannote[2629].speaker SPEAKER_38
transcript.pyannote[2629].start 10259.74409375
transcript.pyannote[2629].end 10267.86096875
transcript.pyannote[2630].speaker SPEAKER_40
transcript.pyannote[2630].start 10269.32909375
transcript.pyannote[2630].end 10273.24409375
transcript.pyannote[2631].speaker SPEAKER_40
transcript.pyannote[2631].start 10273.59846875
transcript.pyannote[2631].end 10277.07471875
transcript.pyannote[2632].speaker SPEAKER_40
transcript.pyannote[2632].start 10277.58096875
transcript.pyannote[2632].end 10280.90534375
transcript.pyannote[2633].speaker SPEAKER_40
transcript.pyannote[2633].start 10281.04034375
transcript.pyannote[2633].end 10298.92784375
transcript.pyannote[2634].speaker SPEAKER_40
transcript.pyannote[2634].start 10305.96471875
transcript.pyannote[2634].end 10306.03221875
transcript.pyannote[2635].speaker SPEAKER_40
transcript.pyannote[2635].start 10306.55534375
transcript.pyannote[2635].end 10306.62284375
transcript.pyannote[2636].speaker SPEAKER_40
transcript.pyannote[2636].start 10306.97721875
transcript.pyannote[2636].end 10307.02784375
transcript.pyannote[2637].speaker SPEAKER_40
transcript.pyannote[2637].start 10307.70284375
transcript.pyannote[2637].end 10309.03596875
transcript.pyannote[2638].speaker SPEAKER_40
transcript.pyannote[2638].start 10309.28909375
transcript.pyannote[2638].end 10309.35659375
transcript.pyannote[2639].speaker SPEAKER_40
transcript.pyannote[2639].start 10309.37346875
transcript.pyannote[2639].end 10310.03159375
transcript.pyannote[2640].speaker SPEAKER_40
transcript.pyannote[2640].start 10310.43659375
transcript.pyannote[2640].end 10310.67284375
transcript.pyannote[2641].speaker SPEAKER_18
transcript.pyannote[2641].start 10310.67284375
transcript.pyannote[2641].end 10311.95534375
transcript.pyannote[2642].speaker SPEAKER_18
transcript.pyannote[2642].start 10312.96784375
transcript.pyannote[2642].end 10313.10284375
transcript.pyannote[2643].speaker SPEAKER_18
transcript.pyannote[2643].start 10313.44034375
transcript.pyannote[2643].end 10314.03096875
transcript.pyannote[2644].speaker SPEAKER_30
transcript.pyannote[2644].start 10314.03096875
transcript.pyannote[2644].end 10317.15284375
transcript.pyannote[2645].speaker SPEAKER_30
transcript.pyannote[2645].start 10317.45659375
transcript.pyannote[2645].end 10318.03034375
transcript.pyannote[2646].speaker SPEAKER_37
transcript.pyannote[2646].start 10324.74659375
transcript.pyannote[2646].end 10325.74221875
transcript.pyannote[2647].speaker SPEAKER_37
transcript.pyannote[2647].start 10329.38721875
transcript.pyannote[2647].end 10334.12909375
transcript.pyannote[2648].speaker SPEAKER_37
transcript.pyannote[2648].start 10343.83221875
transcript.pyannote[2648].end 10346.38034375
transcript.pyannote[2649].speaker SPEAKER_37
transcript.pyannote[2649].start 10346.65034375
transcript.pyannote[2649].end 10346.88659375
transcript.pyannote[2650].speaker SPEAKER_37
transcript.pyannote[2650].start 10346.93721875
transcript.pyannote[2650].end 10347.30846875
transcript.pyannote[2651].speaker SPEAKER_37
transcript.pyannote[2651].start 10350.29534375
transcript.pyannote[2651].end 10350.61596875
transcript.pyannote[2652].speaker SPEAKER_37
transcript.pyannote[2652].start 10351.29096875
transcript.pyannote[2652].end 10355.77971875
transcript.pyannote[2653].speaker SPEAKER_07
transcript.pyannote[2653].start 10359.76221875
transcript.pyannote[2653].end 10360.92659375
transcript.pyannote[2654].speaker SPEAKER_07
transcript.pyannote[2654].start 10360.99409375
transcript.pyannote[2654].end 10362.71534375
transcript.pyannote[2655].speaker SPEAKER_37
transcript.pyannote[2655].start 10363.25534375
transcript.pyannote[2655].end 10364.55471875
transcript.pyannote[2656].speaker SPEAKER_07
transcript.pyannote[2656].start 10367.11971875
transcript.pyannote[2656].end 10387.38659375
transcript.pyannote[2657].speaker SPEAKER_07
transcript.pyannote[2657].start 10387.45409375
transcript.pyannote[2657].end 10391.21721875
transcript.pyannote[2658].speaker SPEAKER_07
transcript.pyannote[2658].start 10392.07784375
transcript.pyannote[2658].end 10392.98909375
transcript.pyannote[2659].speaker SPEAKER_07
transcript.pyannote[2659].start 10393.79909375
transcript.pyannote[2659].end 10397.10659375
transcript.pyannote[2660].speaker SPEAKER_09
transcript.pyannote[2660].start 10397.49471875
transcript.pyannote[2660].end 10397.74784375
transcript.pyannote[2661].speaker SPEAKER_07
transcript.pyannote[2661].start 10398.01784375
transcript.pyannote[2661].end 10401.93284375
transcript.pyannote[2662].speaker SPEAKER_07
transcript.pyannote[2662].start 10402.69221875
transcript.pyannote[2662].end 10405.44284375
transcript.pyannote[2663].speaker SPEAKER_10
transcript.pyannote[2663].start 10404.22784375
transcript.pyannote[2663].end 10404.83534375
transcript.pyannote[2664].speaker SPEAKER_10
transcript.pyannote[2664].start 10405.71284375
transcript.pyannote[2664].end 10407.28221875
transcript.pyannote[2665].speaker SPEAKER_10
transcript.pyannote[2665].start 10408.09221875
transcript.pyannote[2665].end 10411.78784375
transcript.pyannote[2666].speaker SPEAKER_07
transcript.pyannote[2666].start 10409.22284375
transcript.pyannote[2666].end 10409.57721875
transcript.pyannote[2667].speaker SPEAKER_07
transcript.pyannote[2667].start 10411.56846875
transcript.pyannote[2667].end 10417.15409375
transcript.pyannote[2668].speaker SPEAKER_07
transcript.pyannote[2668].start 10417.59284375
transcript.pyannote[2668].end 10422.06471875
transcript.pyannote[2669].speaker SPEAKER_07
transcript.pyannote[2669].start 10422.46971875
transcript.pyannote[2669].end 10435.54784375
transcript.pyannote[2670].speaker SPEAKER_07
transcript.pyannote[2670].start 10435.81784375
transcript.pyannote[2670].end 10442.21346875
transcript.pyannote[2671].speaker SPEAKER_07
transcript.pyannote[2671].start 10443.25971875
transcript.pyannote[2671].end 10477.04346875
transcript.pyannote[2672].speaker SPEAKER_07
transcript.pyannote[2672].start 10477.85346875
transcript.pyannote[2672].end 10480.73909375
transcript.pyannote[2673].speaker SPEAKER_38
transcript.pyannote[2673].start 10481.46471875
transcript.pyannote[2673].end 10489.49721875
transcript.pyannote[2674].speaker SPEAKER_38
transcript.pyannote[2674].start 10489.59846875
transcript.pyannote[2674].end 10492.26471875
transcript.pyannote[2675].speaker SPEAKER_38
transcript.pyannote[2675].start 10492.78784375
transcript.pyannote[2675].end 10498.86284375
transcript.pyannote[2676].speaker SPEAKER_07
transcript.pyannote[2676].start 10499.01471875
transcript.pyannote[2676].end 10503.62159375
transcript.pyannote[2677].speaker SPEAKER_38
transcript.pyannote[2677].start 10503.84096875
transcript.pyannote[2677].end 10504.39784375
transcript.pyannote[2678].speaker SPEAKER_38
transcript.pyannote[2678].start 10504.54971875
transcript.pyannote[2678].end 10507.40159375
transcript.pyannote[2679].speaker SPEAKER_07
transcript.pyannote[2679].start 10505.47784375
transcript.pyannote[2679].end 10506.20346875
transcript.pyannote[2680].speaker SPEAKER_07
transcript.pyannote[2680].start 10507.67159375
transcript.pyannote[2680].end 10510.52346875
transcript.pyannote[2681].speaker SPEAKER_38
transcript.pyannote[2681].start 10508.24534375
transcript.pyannote[2681].end 10508.54909375
transcript.pyannote[2682].speaker SPEAKER_38
transcript.pyannote[2682].start 10509.66284375
transcript.pyannote[2682].end 10518.43784375
transcript.pyannote[2683].speaker SPEAKER_07
transcript.pyannote[2683].start 10511.72159375
transcript.pyannote[2683].end 10512.78471875
transcript.pyannote[2684].speaker SPEAKER_07
transcript.pyannote[2684].start 10518.43784375
transcript.pyannote[2684].end 10530.43596875
transcript.pyannote[2685].speaker SPEAKER_38
transcript.pyannote[2685].start 10521.50909375
transcript.pyannote[2685].end 10521.59346875
transcript.pyannote[2686].speaker SPEAKER_38
transcript.pyannote[2686].start 10521.66096875
transcript.pyannote[2686].end 10522.25159375
transcript.pyannote[2687].speaker SPEAKER_38
transcript.pyannote[2687].start 10528.36034375
transcript.pyannote[2687].end 10528.88346875
transcript.pyannote[2688].speaker SPEAKER_38
transcript.pyannote[2688].start 10529.42346875
transcript.pyannote[2688].end 10537.37159375
transcript.pyannote[2689].speaker SPEAKER_07
transcript.pyannote[2689].start 10535.86971875
transcript.pyannote[2689].end 10545.57284375
transcript.pyannote[2690].speaker SPEAKER_38
transcript.pyannote[2690].start 10538.09721875
transcript.pyannote[2690].end 10538.51909375
transcript.pyannote[2691].speaker SPEAKER_38
transcript.pyannote[2691].start 10539.76784375
transcript.pyannote[2691].end 10540.00409375
transcript.pyannote[2692].speaker SPEAKER_07
transcript.pyannote[2692].start 10545.74159375
transcript.pyannote[2692].end 10549.06596875
transcript.pyannote[2693].speaker SPEAKER_07
transcript.pyannote[2693].start 10550.01096875
transcript.pyannote[2693].end 10550.97284375
transcript.pyannote[2694].speaker SPEAKER_38
transcript.pyannote[2694].start 10550.78721875
transcript.pyannote[2694].end 10551.95159375
transcript.pyannote[2695].speaker SPEAKER_07
transcript.pyannote[2695].start 10551.86721875
transcript.pyannote[2695].end 10556.23784375
transcript.pyannote[2696].speaker SPEAKER_10
transcript.pyannote[2696].start 10556.84534375
transcript.pyannote[2696].end 10564.35471875
transcript.pyannote[2697].speaker SPEAKER_07
transcript.pyannote[2697].start 10564.35471875
transcript.pyannote[2697].end 10566.90284375
transcript.pyannote[2698].speaker SPEAKER_07
transcript.pyannote[2698].start 10567.59471875
transcript.pyannote[2698].end 10583.89596875
transcript.pyannote[2699].speaker SPEAKER_07
transcript.pyannote[2699].start 10584.53721875
transcript.pyannote[2699].end 10593.76784375
transcript.pyannote[2700].speaker SPEAKER_07
transcript.pyannote[2700].start 10593.90284375
transcript.pyannote[2700].end 10603.90971875
transcript.pyannote[2701].speaker SPEAKER_07
transcript.pyannote[2701].start 10605.39471875
transcript.pyannote[2701].end 10606.39034375
transcript.pyannote[2702].speaker SPEAKER_07
transcript.pyannote[2702].start 10607.09909375
transcript.pyannote[2702].end 10609.64721875
transcript.pyannote[2703].speaker SPEAKER_38
transcript.pyannote[2703].start 10610.06909375
transcript.pyannote[2703].end 10618.48971875
transcript.pyannote[2704].speaker SPEAKER_07
transcript.pyannote[2704].start 10615.99221875
transcript.pyannote[2704].end 10626.30284375
transcript.pyannote[2705].speaker SPEAKER_38
transcript.pyannote[2705].start 10623.33284375
transcript.pyannote[2705].end 10628.26034375
transcript.pyannote[2706].speaker SPEAKER_07
transcript.pyannote[2706].start 10627.70346875
transcript.pyannote[2706].end 10635.51659375
transcript.pyannote[2707].speaker SPEAKER_38
transcript.pyannote[2707].start 10633.79534375
transcript.pyannote[2707].end 10637.82846875
transcript.pyannote[2708].speaker SPEAKER_07
transcript.pyannote[2708].start 10637.47409375
transcript.pyannote[2708].end 10640.44409375
transcript.pyannote[2709].speaker SPEAKER_07
transcript.pyannote[2709].start 10641.33846875
transcript.pyannote[2709].end 10648.91534375
transcript.pyannote[2710].speaker SPEAKER_38
transcript.pyannote[2710].start 10642.77284375
transcript.pyannote[2710].end 10645.70909375
transcript.pyannote[2711].speaker SPEAKER_38
transcript.pyannote[2711].start 10646.02971875
transcript.pyannote[2711].end 10647.63284375
transcript.pyannote[2712].speaker SPEAKER_07
transcript.pyannote[2712].start 10649.20221875
transcript.pyannote[2712].end 10655.24346875
transcript.pyannote[2713].speaker SPEAKER_38
transcript.pyannote[2713].start 10649.23596875
transcript.pyannote[2713].end 10653.15096875
transcript.pyannote[2714].speaker SPEAKER_38
transcript.pyannote[2714].start 10653.23534375
transcript.pyannote[2714].end 10659.12471875
transcript.pyannote[2715].speaker SPEAKER_07
transcript.pyannote[2715].start 10657.87596875
transcript.pyannote[2715].end 10668.30471875
transcript.pyannote[2716].speaker SPEAKER_07
transcript.pyannote[2716].start 10668.91221875
transcript.pyannote[2716].end 10671.00471875
transcript.pyannote[2717].speaker SPEAKER_07
transcript.pyannote[2717].start 10671.40971875
transcript.pyannote[2717].end 10681.51784375
transcript.pyannote[2718].speaker SPEAKER_07
transcript.pyannote[2718].start 10681.90596875
transcript.pyannote[2718].end 10701.54846875
transcript.pyannote[2719].speaker SPEAKER_39
transcript.pyannote[2719].start 10688.47034375
transcript.pyannote[2719].end 10691.81159375
transcript.pyannote[2720].speaker SPEAKER_06
transcript.pyannote[2720].start 10691.81159375
transcript.pyannote[2720].end 10691.82846875
transcript.pyannote[2721].speaker SPEAKER_07
transcript.pyannote[2721].start 10701.83534375
transcript.pyannote[2721].end 10722.38909375
transcript.pyannote[2722].speaker SPEAKER_07
transcript.pyannote[2722].start 10722.54096875
transcript.pyannote[2722].end 10732.12596875
transcript.pyannote[2723].speaker SPEAKER_07
transcript.pyannote[2723].start 10733.00346875
transcript.pyannote[2723].end 10738.21784375
transcript.pyannote[2724].speaker SPEAKER_07
transcript.pyannote[2724].start 10739.12909375
transcript.pyannote[2724].end 10741.66034375
transcript.pyannote[2725].speaker SPEAKER_41
transcript.pyannote[2725].start 10742.72346875
transcript.pyannote[2725].end 10744.12409375
transcript.pyannote[2726].speaker SPEAKER_41
transcript.pyannote[2726].start 10744.20846875
transcript.pyannote[2726].end 10746.19971875
transcript.pyannote[2727].speaker SPEAKER_41
transcript.pyannote[2727].start 10746.65534375
transcript.pyannote[2727].end 10760.76284375
transcript.pyannote[2728].speaker SPEAKER_41
transcript.pyannote[2728].start 10761.28596875
transcript.pyannote[2728].end 10768.35659375
transcript.pyannote[2729].speaker SPEAKER_07
transcript.pyannote[2729].start 10768.52534375
transcript.pyannote[2729].end 10773.21659375
transcript.pyannote[2730].speaker SPEAKER_07
transcript.pyannote[2730].start 10773.67221875
transcript.pyannote[2730].end 10824.16221875
transcript.pyannote[2731].speaker SPEAKER_41
transcript.pyannote[2731].start 10824.16221875
transcript.pyannote[2731].end 10824.21284375
transcript.pyannote[2732].speaker SPEAKER_41
transcript.pyannote[2732].start 10824.26346875
transcript.pyannote[2732].end 10831.70534375
transcript.pyannote[2733].speaker SPEAKER_07
transcript.pyannote[2733].start 10828.24596875
transcript.pyannote[2733].end 10832.63346875
transcript.pyannote[2734].speaker SPEAKER_07
transcript.pyannote[2734].start 10832.93721875
transcript.pyannote[2734].end 10875.14159375
transcript.pyannote[2735].speaker SPEAKER_07
transcript.pyannote[2735].start 10875.59721875
transcript.pyannote[2735].end 10939.38471875
transcript.pyannote[2736].speaker SPEAKER_07
transcript.pyannote[2736].start 10939.68846875
transcript.pyannote[2736].end 10949.15534375
transcript.pyannote[2737].speaker SPEAKER_07
transcript.pyannote[2737].start 10949.94846875
transcript.pyannote[2737].end 10955.24721875
transcript.pyannote[2738].speaker SPEAKER_41
transcript.pyannote[2738].start 10953.64409375
transcript.pyannote[2738].end 10958.18346875
transcript.pyannote[2739].speaker SPEAKER_41
transcript.pyannote[2739].start 10958.47034375
transcript.pyannote[2739].end 10963.70159375
transcript.pyannote[2740].speaker SPEAKER_35
transcript.pyannote[2740].start 10962.79034375
transcript.pyannote[2740].end 10963.33034375
transcript.pyannote[2741].speaker SPEAKER_07
transcript.pyannote[2741].start 10963.33034375
transcript.pyannote[2741].end 10963.54971875
transcript.pyannote[2742].speaker SPEAKER_07
transcript.pyannote[2742].start 10963.70159375
transcript.pyannote[2742].end 10963.71846875
transcript.pyannote[2743].speaker SPEAKER_07
transcript.pyannote[2743].start 10963.98846875
transcript.pyannote[2743].end 10964.00534375
transcript.pyannote[2744].speaker SPEAKER_41
transcript.pyannote[2744].start 10964.00534375
transcript.pyannote[2744].end 10964.03909375
transcript.pyannote[2745].speaker SPEAKER_07
transcript.pyannote[2745].start 10964.03909375
transcript.pyannote[2745].end 10964.05596875
transcript.pyannote[2746].speaker SPEAKER_41
transcript.pyannote[2746].start 10964.05596875
transcript.pyannote[2746].end 10964.07284375
transcript.pyannote[2747].speaker SPEAKER_07
transcript.pyannote[2747].start 10964.07284375
transcript.pyannote[2747].end 10964.20784375
transcript.pyannote[2748].speaker SPEAKER_41
transcript.pyannote[2748].start 10964.20784375
transcript.pyannote[2748].end 10966.30034375
transcript.pyannote[2749].speaker SPEAKER_07
transcript.pyannote[2749].start 10964.27534375
transcript.pyannote[2749].end 10964.74784375
transcript.pyannote[2750].speaker SPEAKER_35
transcript.pyannote[2750].start 10964.74784375
transcript.pyannote[2750].end 10965.03471875
transcript.pyannote[2751].speaker SPEAKER_07
transcript.pyannote[2751].start 10965.03471875
transcript.pyannote[2751].end 10969.28721875
transcript.pyannote[2752].speaker SPEAKER_07
transcript.pyannote[2752].start 10970.11409375
transcript.pyannote[2752].end 10980.91409375
transcript.pyannote[2753].speaker SPEAKER_41
transcript.pyannote[2753].start 10977.31971875
transcript.pyannote[2753].end 10984.50846875
transcript.pyannote[2754].speaker SPEAKER_07
transcript.pyannote[2754].start 10982.56784375
transcript.pyannote[2754].end 10982.60159375
transcript.pyannote[2755].speaker SPEAKER_07
transcript.pyannote[2755].start 10982.63534375
transcript.pyannote[2755].end 10986.97221875
transcript.pyannote[2756].speaker SPEAKER_07
transcript.pyannote[2756].start 10987.15784375
transcript.pyannote[2756].end 10989.38534375
transcript.pyannote[2757].speaker SPEAKER_07
transcript.pyannote[2757].start 10990.29659375
transcript.pyannote[2757].end 11007.81284375
transcript.pyannote[2758].speaker SPEAKER_07
transcript.pyannote[2758].start 11008.43721875
transcript.pyannote[2758].end 11015.22096875
transcript.pyannote[2759].speaker SPEAKER_07
transcript.pyannote[2759].start 11015.55846875
transcript.pyannote[2759].end 11016.36846875
transcript.pyannote[2760].speaker SPEAKER_10
transcript.pyannote[2760].start 11016.55409375
transcript.pyannote[2760].end 11020.53659375
transcript.pyannote[2761].speaker SPEAKER_10
transcript.pyannote[2761].start 11020.90784375
transcript.pyannote[2761].end 11023.15221875
transcript.pyannote[2762].speaker SPEAKER_10
transcript.pyannote[2762].start 11023.27034375
transcript.pyannote[2762].end 11025.10971875
transcript.pyannote[2763].speaker SPEAKER_10
transcript.pyannote[2763].start 11025.17721875
transcript.pyannote[2763].end 11025.19409375
transcript.pyannote[2764].speaker SPEAKER_09
transcript.pyannote[2764].start 11025.19409375
transcript.pyannote[2764].end 11025.21096875
transcript.pyannote[2765].speaker SPEAKER_10
transcript.pyannote[2765].start 11025.21096875
transcript.pyannote[2765].end 11025.68346875
transcript.pyannote[2766].speaker SPEAKER_09
transcript.pyannote[2766].start 11025.22784375
transcript.pyannote[2766].end 11025.66659375
transcript.pyannote[2767].speaker SPEAKER_10
transcript.pyannote[2767].start 11025.93659375
transcript.pyannote[2767].end 11028.09659375
transcript.pyannote[2768].speaker SPEAKER_10
transcript.pyannote[2768].start 11028.50159375
transcript.pyannote[2768].end 11032.46721875
transcript.pyannote[2769].speaker SPEAKER_07
transcript.pyannote[2769].start 11031.23534375
transcript.pyannote[2769].end 11034.96471875
transcript.pyannote[2770].speaker SPEAKER_10
transcript.pyannote[2770].start 11033.04096875
transcript.pyannote[2770].end 11043.03096875
transcript.pyannote[2771].speaker SPEAKER_07
transcript.pyannote[2771].start 11043.08159375
transcript.pyannote[2771].end 11059.83846875
transcript.pyannote[2772].speaker SPEAKER_10
transcript.pyannote[2772].start 11060.04096875
transcript.pyannote[2772].end 11063.75346875
transcript.pyannote[2773].speaker SPEAKER_41
transcript.pyannote[2773].start 11063.75346875
transcript.pyannote[2773].end 11067.97221875
transcript.pyannote[2774].speaker SPEAKER_07
transcript.pyannote[2774].start 11068.46159375
transcript.pyannote[2774].end 11069.33909375
transcript.pyannote[2775].speaker SPEAKER_07
transcript.pyannote[2775].start 11069.60909375
transcript.pyannote[2775].end 11070.19971875
transcript.pyannote[2776].speaker SPEAKER_07
transcript.pyannote[2776].start 11070.36846875
transcript.pyannote[2776].end 11074.36784375
transcript.pyannote[2777].speaker SPEAKER_07
transcript.pyannote[2777].start 11076.07221875
transcript.pyannote[2777].end 11076.73034375
transcript.pyannote[2778].speaker SPEAKER_07
transcript.pyannote[2778].start 11077.30409375
transcript.pyannote[2778].end 11078.35034375
transcript.pyannote[2779].speaker SPEAKER_07
transcript.pyannote[2779].start 11078.51909375
transcript.pyannote[2779].end 11081.18534375
transcript.pyannote[2780].speaker SPEAKER_07
transcript.pyannote[2780].start 11081.45534375
transcript.pyannote[2780].end 11117.09534375
transcript.pyannote[2781].speaker SPEAKER_00
transcript.pyannote[2781].start 11097.01409375
transcript.pyannote[2781].end 11097.36846875
transcript.pyannote[2782].speaker SPEAKER_07
transcript.pyannote[2782].start 11117.56784375
transcript.pyannote[2782].end 11131.21971875
transcript.pyannote[2783].speaker SPEAKER_07
transcript.pyannote[2783].start 11131.69221875
transcript.pyannote[2783].end 11156.21159375
transcript.pyannote[2784].speaker SPEAKER_10
transcript.pyannote[2784].start 11156.70096875
transcript.pyannote[2784].end 11160.73409375
transcript.pyannote[2785].speaker SPEAKER_10
transcript.pyannote[2785].start 11160.98721875
transcript.pyannote[2785].end 11161.52721875
transcript.pyannote[2786].speaker SPEAKER_10
transcript.pyannote[2786].start 11161.94909375
transcript.pyannote[2786].end 11164.02471875
transcript.pyannote[2787].speaker SPEAKER_10
transcript.pyannote[2787].start 11164.37909375
transcript.pyannote[2787].end 11165.05409375
transcript.pyannote[2788].speaker SPEAKER_10
transcript.pyannote[2788].start 11165.50971875
transcript.pyannote[2788].end 11165.81346875
transcript.pyannote[2789].speaker SPEAKER_10
transcript.pyannote[2789].start 11166.06659375
transcript.pyannote[2789].end 11168.69909375
transcript.pyannote[2790].speaker SPEAKER_10
transcript.pyannote[2790].start 11168.98596875
transcript.pyannote[2790].end 11170.60596875
transcript.pyannote[2791].speaker SPEAKER_07
transcript.pyannote[2791].start 11171.07846875
transcript.pyannote[2791].end 11186.97471875
transcript.pyannote[2792].speaker SPEAKER_10
transcript.pyannote[2792].start 11186.77221875
transcript.pyannote[2792].end 11188.94909375
transcript.pyannote[2793].speaker SPEAKER_10
transcript.pyannote[2793].start 11189.35409375
transcript.pyannote[2793].end 11190.72096875
transcript.pyannote[2794].speaker SPEAKER_10
transcript.pyannote[2794].start 11191.34534375
transcript.pyannote[2794].end 11192.03721875
transcript.pyannote[2795].speaker SPEAKER_10
transcript.pyannote[2795].start 11192.50971875
transcript.pyannote[2795].end 11193.80909375
transcript.pyannote[2796].speaker SPEAKER_10
transcript.pyannote[2796].start 11194.36596875
transcript.pyannote[2796].end 11195.68221875
transcript.pyannote[2797].speaker SPEAKER_10
transcript.pyannote[2797].start 11196.05346875
transcript.pyannote[2797].end 11196.74534375
transcript.pyannote[2798].speaker SPEAKER_10
transcript.pyannote[2798].start 11197.33596875
transcript.pyannote[2798].end 11200.06971875
transcript.pyannote[2799].speaker SPEAKER_10
transcript.pyannote[2799].start 11200.30596875
transcript.pyannote[2799].end 11201.14971875
transcript.pyannote[2800].speaker SPEAKER_10
transcript.pyannote[2800].start 11201.33534375
transcript.pyannote[2800].end 11202.24659375
transcript.pyannote[2801].speaker SPEAKER_10
transcript.pyannote[2801].start 11202.53346875
transcript.pyannote[2801].end 11205.80721875
transcript.pyannote[2802].speaker SPEAKER_07
transcript.pyannote[2802].start 11206.17846875
transcript.pyannote[2802].end 11259.43596875
transcript.pyannote[2803].speaker SPEAKER_10
transcript.pyannote[2803].start 11260.27971875
transcript.pyannote[2803].end 11264.00909375
transcript.pyannote[2804].speaker SPEAKER_10
transcript.pyannote[2804].start 11264.48159375
transcript.pyannote[2804].end 11266.52346875
transcript.pyannote[2805].speaker SPEAKER_10
transcript.pyannote[2805].start 11266.99596875
transcript.pyannote[2805].end 11268.41346875
transcript.pyannote[2806].speaker SPEAKER_10
transcript.pyannote[2806].start 11268.63284375
transcript.pyannote[2806].end 11270.38784375
transcript.pyannote[2807].speaker SPEAKER_10
transcript.pyannote[2807].start 11270.82659375
transcript.pyannote[2807].end 11273.79659375
transcript.pyannote[2808].speaker SPEAKER_06
transcript.pyannote[2808].start 11278.97721875
transcript.pyannote[2808].end 11279.36534375
transcript.pyannote[2809].speaker SPEAKER_06
transcript.pyannote[2809].start 11279.97284375
transcript.pyannote[2809].end 11283.56721875
transcript.pyannote[2810].speaker SPEAKER_06
transcript.pyannote[2810].start 11283.98909375
transcript.pyannote[2810].end 11286.85784375
transcript.pyannote[2811].speaker SPEAKER_36
transcript.pyannote[2811].start 11285.52471875
transcript.pyannote[2811].end 11286.16596875
transcript.pyannote[2812].speaker SPEAKER_06
transcript.pyannote[2812].start 11286.97596875
transcript.pyannote[2812].end 11296.86471875
transcript.pyannote[2813].speaker SPEAKER_00
transcript.pyannote[2813].start 11290.94159375
transcript.pyannote[2813].end 11291.71784375
transcript.pyannote[2814].speaker SPEAKER_18
transcript.pyannote[2814].start 11293.38846875
transcript.pyannote[2814].end 11293.72596875
transcript.pyannote[2815].speaker SPEAKER_06
transcript.pyannote[2815].start 11297.65784375
transcript.pyannote[2815].end 11299.49721875
transcript.pyannote[2816].speaker SPEAKER_18
transcript.pyannote[2816].start 11299.49721875
transcript.pyannote[2816].end 11303.14221875
transcript.pyannote[2817].speaker SPEAKER_06
transcript.pyannote[2817].start 11304.01971875
transcript.pyannote[2817].end 11304.03659375
transcript.pyannote[2818].speaker SPEAKER_06
transcript.pyannote[2818].start 11313.08159375
transcript.pyannote[2818].end 11313.77346875
transcript.pyannote[2819].speaker SPEAKER_37
transcript.pyannote[2819].start 11320.86096875
transcript.pyannote[2819].end 11321.33346875
transcript.pyannote[2820].speaker SPEAKER_37
transcript.pyannote[2820].start 11324.59034375
transcript.pyannote[2820].end 11325.24846875
transcript.pyannote[2821].speaker SPEAKER_37
transcript.pyannote[2821].start 11326.37909375
transcript.pyannote[2821].end 11330.64846875
transcript.pyannote[2822].speaker SPEAKER_37
transcript.pyannote[2822].start 11341.83659375
transcript.pyannote[2822].end 11346.73034375
transcript.pyannote[2823].speaker SPEAKER_00
transcript.pyannote[2823].start 11347.20284375
transcript.pyannote[2823].end 11352.77159375
transcript.pyannote[2824].speaker SPEAKER_37
transcript.pyannote[2824].start 11353.22721875
transcript.pyannote[2824].end 11355.47159375
transcript.pyannote[2825].speaker SPEAKER_00
transcript.pyannote[2825].start 11364.28034375
transcript.pyannote[2825].end 11364.73596875
transcript.pyannote[2826].speaker SPEAKER_10
transcript.pyannote[2826].start 11364.87096875
transcript.pyannote[2826].end 11366.38971875
transcript.pyannote[2827].speaker SPEAKER_00
transcript.pyannote[2827].start 11367.82409375
transcript.pyannote[2827].end 11368.43159375
transcript.pyannote[2828].speaker SPEAKER_26
transcript.pyannote[2828].start 11369.49471875
transcript.pyannote[2828].end 11369.84909375
transcript.pyannote[2829].speaker SPEAKER_00
transcript.pyannote[2829].start 11371.97534375
transcript.pyannote[2829].end 11375.23221875
transcript.pyannote[2830].speaker SPEAKER_00
transcript.pyannote[2830].start 11375.83971875
transcript.pyannote[2830].end 11378.65784375
transcript.pyannote[2831].speaker SPEAKER_00
transcript.pyannote[2831].start 11379.04596875
transcript.pyannote[2831].end 11381.59409375
transcript.pyannote[2832].speaker SPEAKER_00
transcript.pyannote[2832].start 11382.40409375
transcript.pyannote[2832].end 11385.42471875
transcript.pyannote[2833].speaker SPEAKER_00
transcript.pyannote[2833].start 11385.81284375
transcript.pyannote[2833].end 11387.16284375
transcript.pyannote[2834].speaker SPEAKER_00
transcript.pyannote[2834].start 11387.48346875
transcript.pyannote[2834].end 11389.66034375
transcript.pyannote[2835].speaker SPEAKER_00
transcript.pyannote[2835].start 11390.60534375
transcript.pyannote[2835].end 11395.78596875
transcript.pyannote[2836].speaker SPEAKER_00
transcript.pyannote[2836].start 11396.32596875
transcript.pyannote[2836].end 11398.70534375
transcript.pyannote[2837].speaker SPEAKER_00
transcript.pyannote[2837].start 11399.29596875
transcript.pyannote[2837].end 11402.56971875
transcript.pyannote[2838].speaker SPEAKER_00
transcript.pyannote[2838].start 11403.05909375
transcript.pyannote[2838].end 11407.36221875
transcript.pyannote[2839].speaker SPEAKER_00
transcript.pyannote[2839].start 11408.42534375
transcript.pyannote[2839].end 11409.67409375
transcript.pyannote[2840].speaker SPEAKER_00
transcript.pyannote[2840].start 11410.11284375
transcript.pyannote[2840].end 11412.08721875
transcript.pyannote[2841].speaker SPEAKER_00
transcript.pyannote[2841].start 11412.52596875
transcript.pyannote[2841].end 11415.88409375
transcript.pyannote[2842].speaker SPEAKER_00
transcript.pyannote[2842].start 11416.45784375
transcript.pyannote[2842].end 11417.47034375
transcript.pyannote[2843].speaker SPEAKER_00
transcript.pyannote[2843].start 11417.92596875
transcript.pyannote[2843].end 11421.85784375
transcript.pyannote[2844].speaker SPEAKER_00
transcript.pyannote[2844].start 11422.22909375
transcript.pyannote[2844].end 11427.37596875
transcript.pyannote[2845].speaker SPEAKER_00
transcript.pyannote[2845].start 11427.61221875
transcript.pyannote[2845].end 11430.17721875
transcript.pyannote[2846].speaker SPEAKER_00
transcript.pyannote[2846].start 11430.61596875
transcript.pyannote[2846].end 11433.02909375
transcript.pyannote[2847].speaker SPEAKER_00
transcript.pyannote[2847].start 11434.56471875
transcript.pyannote[2847].end 11440.04909375
transcript.pyannote[2848].speaker SPEAKER_00
transcript.pyannote[2848].start 11441.07846875
transcript.pyannote[2848].end 11441.98971875
transcript.pyannote[2849].speaker SPEAKER_00
transcript.pyannote[2849].start 11442.69846875
transcript.pyannote[2849].end 11449.27971875
transcript.pyannote[2850].speaker SPEAKER_00
transcript.pyannote[2850].start 11450.30909375
transcript.pyannote[2850].end 11451.10221875
transcript.pyannote[2851].speaker SPEAKER_00
transcript.pyannote[2851].start 11451.28784375
transcript.pyannote[2851].end 11452.87409375
transcript.pyannote[2852].speaker SPEAKER_00
transcript.pyannote[2852].start 11453.39721875
transcript.pyannote[2852].end 11455.05096875
transcript.pyannote[2853].speaker SPEAKER_00
transcript.pyannote[2853].start 11455.60784375
transcript.pyannote[2853].end 11457.58221875
transcript.pyannote[2854].speaker SPEAKER_00
transcript.pyannote[2854].start 11457.97034375
transcript.pyannote[2854].end 11461.12596875
transcript.pyannote[2855].speaker SPEAKER_00
transcript.pyannote[2855].start 11461.42971875
transcript.pyannote[2855].end 11467.31909375
transcript.pyannote[2856].speaker SPEAKER_00
transcript.pyannote[2856].start 11467.63971875
transcript.pyannote[2856].end 11470.59284375
transcript.pyannote[2857].speaker SPEAKER_00
transcript.pyannote[2857].start 11471.20034375
transcript.pyannote[2857].end 11475.75659375
transcript.pyannote[2858].speaker SPEAKER_00
transcript.pyannote[2858].start 11476.56659375
transcript.pyannote[2858].end 11477.30909375
transcript.pyannote[2859].speaker SPEAKER_00
transcript.pyannote[2859].start 11477.84909375
transcript.pyannote[2859].end 11481.30846875
transcript.pyannote[2860].speaker SPEAKER_00
transcript.pyannote[2860].start 11481.32534375
transcript.pyannote[2860].end 11487.19784375
transcript.pyannote[2861].speaker SPEAKER_00
transcript.pyannote[2861].start 11488.04159375
transcript.pyannote[2861].end 11489.99909375
transcript.pyannote[2862].speaker SPEAKER_00
transcript.pyannote[2862].start 11490.38721875
transcript.pyannote[2862].end 11490.92721875
transcript.pyannote[2863].speaker SPEAKER_00
transcript.pyannote[2863].start 11491.55159375
transcript.pyannote[2863].end 11495.17971875
transcript.pyannote[2864].speaker SPEAKER_00
transcript.pyannote[2864].start 11495.98971875
transcript.pyannote[2864].end 11496.49596875
transcript.pyannote[2865].speaker SPEAKER_00
transcript.pyannote[2865].start 11496.79971875
transcript.pyannote[2865].end 11503.43159375
transcript.pyannote[2866].speaker SPEAKER_00
transcript.pyannote[2866].start 11503.97159375
transcript.pyannote[2866].end 11507.31284375
transcript.pyannote[2867].speaker SPEAKER_00
transcript.pyannote[2867].start 11508.00471875
transcript.pyannote[2867].end 11510.55284375
transcript.pyannote[2868].speaker SPEAKER_00
transcript.pyannote[2868].start 11511.02534375
transcript.pyannote[2868].end 11512.54409375
transcript.pyannote[2869].speaker SPEAKER_00
transcript.pyannote[2869].start 11513.05034375
transcript.pyannote[2869].end 11517.13409375
transcript.pyannote[2870].speaker SPEAKER_00
transcript.pyannote[2870].start 11517.50534375
transcript.pyannote[2870].end 11522.75346875
transcript.pyannote[2871].speaker SPEAKER_00
transcript.pyannote[2871].start 11523.29346875
transcript.pyannote[2871].end 11541.11346875
transcript.pyannote[2872].speaker SPEAKER_00
transcript.pyannote[2872].start 11541.43409375
transcript.pyannote[2872].end 11546.31096875
transcript.pyannote[2873].speaker SPEAKER_00
transcript.pyannote[2873].start 11546.54721875
transcript.pyannote[2873].end 11549.04471875
transcript.pyannote[2874].speaker SPEAKER_00
transcript.pyannote[2874].start 11549.88846875
transcript.pyannote[2874].end 11590.91159375
transcript.pyannote[2875].speaker SPEAKER_00
transcript.pyannote[2875].start 11591.29971875
transcript.pyannote[2875].end 11593.30784375
transcript.pyannote[2876].speaker SPEAKER_00
transcript.pyannote[2876].start 11593.93221875
transcript.pyannote[2876].end 11602.67346875
transcript.pyannote[2877].speaker SPEAKER_00
transcript.pyannote[2877].start 11602.96034375
transcript.pyannote[2877].end 11621.57346875
transcript.pyannote[2878].speaker SPEAKER_00
transcript.pyannote[2878].start 11622.55221875
transcript.pyannote[2878].end 11643.61221875
transcript.pyannote[2879].speaker SPEAKER_00
transcript.pyannote[2879].start 11644.48971875
transcript.pyannote[2879].end 11657.26409375
transcript.pyannote[2880].speaker SPEAKER_00
transcript.pyannote[2880].start 11657.77034375
transcript.pyannote[2880].end 11663.57534375
transcript.pyannote[2881].speaker SPEAKER_00
transcript.pyannote[2881].start 11664.21659375
transcript.pyannote[2881].end 11666.00534375
transcript.pyannote[2882].speaker SPEAKER_00
transcript.pyannote[2882].start 11666.78159375
transcript.pyannote[2882].end 11677.58159375
transcript.pyannote[2883].speaker SPEAKER_00
transcript.pyannote[2883].start 11678.27346875
transcript.pyannote[2883].end 11681.47971875
transcript.pyannote[2884].speaker SPEAKER_00
transcript.pyannote[2884].start 11681.69909375
transcript.pyannote[2884].end 11685.61409375
transcript.pyannote[2885].speaker SPEAKER_00
transcript.pyannote[2885].start 11686.03596875
transcript.pyannote[2885].end 11690.27159375
transcript.pyannote[2886].speaker SPEAKER_00
transcript.pyannote[2886].start 11691.01409375
transcript.pyannote[2886].end 11704.66596875
transcript.pyannote[2887].speaker SPEAKER_00
transcript.pyannote[2887].start 11704.90221875
transcript.pyannote[2887].end 11710.84221875
transcript.pyannote[2888].speaker SPEAKER_00
transcript.pyannote[2888].start 11711.09534375
transcript.pyannote[2888].end 11730.87284375
transcript.pyannote[2889].speaker SPEAKER_00
transcript.pyannote[2889].start 11730.88971875
transcript.pyannote[2889].end 11754.27846875
transcript.pyannote[2890].speaker SPEAKER_00
transcript.pyannote[2890].start 11754.51471875
transcript.pyannote[2890].end 11778.44346875
transcript.pyannote[2891].speaker SPEAKER_38
transcript.pyannote[2891].start 11778.57846875
transcript.pyannote[2891].end 11782.34159375
transcript.pyannote[2892].speaker SPEAKER_38
transcript.pyannote[2892].start 11782.74659375
transcript.pyannote[2892].end 11798.37284375
transcript.pyannote[2893].speaker SPEAKER_00
transcript.pyannote[2893].start 11798.30534375
transcript.pyannote[2893].end 11806.77659375
transcript.pyannote[2894].speaker SPEAKER_38
transcript.pyannote[2894].start 11798.84534375
transcript.pyannote[2894].end 11798.87909375
transcript.pyannote[2895].speaker SPEAKER_38
transcript.pyannote[2895].start 11800.70159375
transcript.pyannote[2895].end 11801.17409375
transcript.pyannote[2896].speaker SPEAKER_38
transcript.pyannote[2896].start 11802.87846875
transcript.pyannote[2896].end 11803.31721875
transcript.pyannote[2897].speaker SPEAKER_38
transcript.pyannote[2897].start 11807.11409375
transcript.pyannote[2897].end 11820.74909375
transcript.pyannote[2898].speaker SPEAKER_00
transcript.pyannote[2898].start 11809.49346875
transcript.pyannote[2898].end 11809.91534375
transcript.pyannote[2899].speaker SPEAKER_00
transcript.pyannote[2899].start 11812.00784375
transcript.pyannote[2899].end 11812.59846875
transcript.pyannote[2900].speaker SPEAKER_38
transcript.pyannote[2900].start 11821.00221875
transcript.pyannote[2900].end 11839.05846875
transcript.pyannote[2901].speaker SPEAKER_00
transcript.pyannote[2901].start 11835.49784375
transcript.pyannote[2901].end 11836.02096875
transcript.pyannote[2902].speaker SPEAKER_00
transcript.pyannote[2902].start 11836.44284375
transcript.pyannote[2902].end 11837.11784375
transcript.pyannote[2903].speaker SPEAKER_00
transcript.pyannote[2903].start 11838.13034375
transcript.pyannote[2903].end 11840.37471875
transcript.pyannote[2904].speaker SPEAKER_38
transcript.pyannote[2904].start 11841.23534375
transcript.pyannote[2904].end 11843.15909375
transcript.pyannote[2905].speaker SPEAKER_38
transcript.pyannote[2905].start 11843.78346875
transcript.pyannote[2905].end 11844.37409375
transcript.pyannote[2906].speaker SPEAKER_38
transcript.pyannote[2906].start 11844.84659375
transcript.pyannote[2906].end 11853.62159375
transcript.pyannote[2907].speaker SPEAKER_00
transcript.pyannote[2907].start 11851.86659375
transcript.pyannote[2907].end 11874.95159375
transcript.pyannote[2908].speaker SPEAKER_38
transcript.pyannote[2908].start 11855.96721875
transcript.pyannote[2908].end 11856.45659375
transcript.pyannote[2909].speaker SPEAKER_00
transcript.pyannote[2909].start 11875.98096875
transcript.pyannote[2909].end 11891.06721875
transcript.pyannote[2910].speaker SPEAKER_00
transcript.pyannote[2910].start 11891.84346875
transcript.pyannote[2910].end 11908.56659375
transcript.pyannote[2911].speaker SPEAKER_10
transcript.pyannote[2911].start 11906.01846875
transcript.pyannote[2911].end 11913.20721875
transcript.pyannote[2912].speaker SPEAKER_38
transcript.pyannote[2912].start 11913.20721875
transcript.pyannote[2912].end 11913.25784375
transcript.pyannote[2913].speaker SPEAKER_10
transcript.pyannote[2913].start 11913.25784375
transcript.pyannote[2913].end 11913.30846875
transcript.pyannote[2914].speaker SPEAKER_00
transcript.pyannote[2914].start 11913.30846875
transcript.pyannote[2914].end 11914.75971875
transcript.pyannote[2915].speaker SPEAKER_10
transcript.pyannote[2915].start 11913.86534375
transcript.pyannote[2915].end 11913.89909375
transcript.pyannote[2916].speaker SPEAKER_38
transcript.pyannote[2916].start 11913.89909375
transcript.pyannote[2916].end 11924.73284375
transcript.pyannote[2917].speaker SPEAKER_10
transcript.pyannote[2917].start 11914.75971875
transcript.pyannote[2917].end 11914.79346875
transcript.pyannote[2918].speaker SPEAKER_38
transcript.pyannote[2918].start 11925.32346875
transcript.pyannote[2918].end 11931.38159375
transcript.pyannote[2919].speaker SPEAKER_00
transcript.pyannote[2919].start 11931.19596875
transcript.pyannote[2919].end 11932.49534375
transcript.pyannote[2920].speaker SPEAKER_38
transcript.pyannote[2920].start 11933.27159375
transcript.pyannote[2920].end 11935.16159375
transcript.pyannote[2921].speaker SPEAKER_00
transcript.pyannote[2921].start 11934.41909375
transcript.pyannote[2921].end 11941.38846875
transcript.pyannote[2922].speaker SPEAKER_38
transcript.pyannote[2922].start 11940.13971875
transcript.pyannote[2922].end 11943.22784375
transcript.pyannote[2923].speaker SPEAKER_00
transcript.pyannote[2923].start 11943.22784375
transcript.pyannote[2923].end 11948.84721875
transcript.pyannote[2924].speaker SPEAKER_38
transcript.pyannote[2924].start 11947.36221875
transcript.pyannote[2924].end 11952.40784375
transcript.pyannote[2925].speaker SPEAKER_00
transcript.pyannote[2925].start 11948.96534375
transcript.pyannote[2925].end 11949.04971875
transcript.pyannote[2926].speaker SPEAKER_00
transcript.pyannote[2926].start 11952.66096875
transcript.pyannote[2926].end 11952.67784375
transcript.pyannote[2927].speaker SPEAKER_38
transcript.pyannote[2927].start 11952.67784375
transcript.pyannote[2927].end 11959.02284375
transcript.pyannote[2928].speaker SPEAKER_00
transcript.pyannote[2928].start 11959.79909375
transcript.pyannote[2928].end 11965.97534375
transcript.pyannote[2929].speaker SPEAKER_00
transcript.pyannote[2929].start 11966.98784375
transcript.pyannote[2929].end 11968.54034375
transcript.pyannote[2930].speaker SPEAKER_00
transcript.pyannote[2930].start 11969.02971875
transcript.pyannote[2930].end 11973.36659375
transcript.pyannote[2931].speaker SPEAKER_00
transcript.pyannote[2931].start 11973.63659375
transcript.pyannote[2931].end 11978.61471875
transcript.pyannote[2932].speaker SPEAKER_00
transcript.pyannote[2932].start 11979.25596875
transcript.pyannote[2932].end 12005.12534375
transcript.pyannote[2933].speaker SPEAKER_00
transcript.pyannote[2933].start 12005.42909375
transcript.pyannote[2933].end 12023.09721875
transcript.pyannote[2934].speaker SPEAKER_00
transcript.pyannote[2934].start 12023.35034375
transcript.pyannote[2934].end 12026.05034375
transcript.pyannote[2935].speaker SPEAKER_00
transcript.pyannote[2935].start 12026.57346875
transcript.pyannote[2935].end 12027.02909375
transcript.pyannote[2936].speaker SPEAKER_10
transcript.pyannote[2936].start 12027.24846875
transcript.pyannote[2936].end 12029.42534375
transcript.pyannote[2937].speaker SPEAKER_25
transcript.pyannote[2937].start 12029.30721875
transcript.pyannote[2937].end 12048.20721875
transcript.pyannote[2938].speaker SPEAKER_00
transcript.pyannote[2938].start 12047.59971875
transcript.pyannote[2938].end 12052.88159375
transcript.pyannote[2939].speaker SPEAKER_00
transcript.pyannote[2939].start 12054.06284375
transcript.pyannote[2939].end 12054.73784375
transcript.pyannote[2940].speaker SPEAKER_00
transcript.pyannote[2940].start 12055.04159375
transcript.pyannote[2940].end 12056.49284375
transcript.pyannote[2941].speaker SPEAKER_25
transcript.pyannote[2941].start 12057.53909375
transcript.pyannote[2941].end 12069.40221875
transcript.pyannote[2942].speaker SPEAKER_00
transcript.pyannote[2942].start 12068.98034375
transcript.pyannote[2942].end 12080.55659375
transcript.pyannote[2943].speaker SPEAKER_00
transcript.pyannote[2943].start 12080.79284375
transcript.pyannote[2943].end 12100.67159375
transcript.pyannote[2944].speaker SPEAKER_10
transcript.pyannote[2944].start 12101.32971875
transcript.pyannote[2944].end 12102.59534375
transcript.pyannote[2945].speaker SPEAKER_25
transcript.pyannote[2945].start 12102.59534375
transcript.pyannote[2945].end 12116.78721875
transcript.pyannote[2946].speaker SPEAKER_10
transcript.pyannote[2946].start 12102.79784375
transcript.pyannote[2946].end 12104.55284375
transcript.pyannote[2947].speaker SPEAKER_00
transcript.pyannote[2947].start 12113.24346875
transcript.pyannote[2947].end 12129.91596875
transcript.pyannote[2948].speaker SPEAKER_25
transcript.pyannote[2948].start 12117.51284375
transcript.pyannote[2948].end 12117.96846875
transcript.pyannote[2949].speaker SPEAKER_10
transcript.pyannote[2949].start 12123.30096875
transcript.pyannote[2949].end 12126.91221875
transcript.pyannote[2950].speaker SPEAKER_00
transcript.pyannote[2950].start 12129.94971875
transcript.pyannote[2950].end 12133.20659375
transcript.pyannote[2951].speaker SPEAKER_00
transcript.pyannote[2951].start 12133.40909375
transcript.pyannote[2951].end 12148.27596875
transcript.pyannote[2952].speaker SPEAKER_00
transcript.pyannote[2952].start 12148.51221875
transcript.pyannote[2952].end 12162.95721875
transcript.pyannote[2953].speaker SPEAKER_01
transcript.pyannote[2953].start 12156.64596875
transcript.pyannote[2953].end 12156.73034375
transcript.pyannote[2954].speaker SPEAKER_06
transcript.pyannote[2954].start 12156.73034375
transcript.pyannote[2954].end 12156.96659375
transcript.pyannote[2955].speaker SPEAKER_01
transcript.pyannote[2955].start 12156.96659375
transcript.pyannote[2955].end 12157.43909375
transcript.pyannote[2956].speaker SPEAKER_00
transcript.pyannote[2956].start 12163.78409375
transcript.pyannote[2956].end 12167.88471875
transcript.pyannote[2957].speaker SPEAKER_00
transcript.pyannote[2957].start 12168.71159375
transcript.pyannote[2957].end 12221.02409375
transcript.pyannote[2958].speaker SPEAKER_00
transcript.pyannote[2958].start 12221.07471875
transcript.pyannote[2958].end 12229.36034375
transcript.pyannote[2959].speaker SPEAKER_00
transcript.pyannote[2959].start 12230.33909375
transcript.pyannote[2959].end 12230.87909375
transcript.pyannote[2960].speaker SPEAKER_00
transcript.pyannote[2960].start 12231.16596875
transcript.pyannote[2960].end 12233.10659375
transcript.pyannote[2961].speaker SPEAKER_00
transcript.pyannote[2961].start 12233.66346875
transcript.pyannote[2961].end 12234.59159375
transcript.pyannote[2962].speaker SPEAKER_00
transcript.pyannote[2962].start 12234.77721875
transcript.pyannote[2962].end 12237.49409375
transcript.pyannote[2963].speaker SPEAKER_00
transcript.pyannote[2963].start 12237.91596875
transcript.pyannote[2963].end 12239.08034375
transcript.pyannote[2964].speaker SPEAKER_00
transcript.pyannote[2964].start 12239.48534375
transcript.pyannote[2964].end 12240.31221875
transcript.pyannote[2965].speaker SPEAKER_00
transcript.pyannote[2965].start 12240.54846875
transcript.pyannote[2965].end 12244.71659375
transcript.pyannote[2966].speaker SPEAKER_00
transcript.pyannote[2966].start 12245.44221875
transcript.pyannote[2966].end 12250.28534375
transcript.pyannote[2967].speaker SPEAKER_10
transcript.pyannote[2967].start 12247.55159375
transcript.pyannote[2967].end 12248.53034375
transcript.pyannote[2968].speaker SPEAKER_10
transcript.pyannote[2968].start 12249.61034375
transcript.pyannote[2968].end 12252.81659375
transcript.pyannote[2969].speaker SPEAKER_00
transcript.pyannote[2969].start 12251.38221875
transcript.pyannote[2969].end 12265.75971875
transcript.pyannote[2970].speaker SPEAKER_10
transcript.pyannote[2970].start 12254.41971875
transcript.pyannote[2970].end 12257.00159375
transcript.pyannote[2971].speaker SPEAKER_00
transcript.pyannote[2971].start 12266.09721875
transcript.pyannote[2971].end 12267.44721875
transcript.pyannote[2972].speaker SPEAKER_41
transcript.pyannote[2972].start 12266.26596875
transcript.pyannote[2972].end 12268.59471875
transcript.pyannote[2973].speaker SPEAKER_35
transcript.pyannote[2973].start 12288.03471875
transcript.pyannote[2973].end 12288.32159375
transcript.pyannote[2974].speaker SPEAKER_35
transcript.pyannote[2974].start 12288.38909375
transcript.pyannote[2974].end 12288.43971875
transcript.pyannote[2975].speaker SPEAKER_35
transcript.pyannote[2975].start 12289.97534375
transcript.pyannote[2975].end 12290.32971875
transcript.pyannote[2976].speaker SPEAKER_35
transcript.pyannote[2976].start 12290.80221875
transcript.pyannote[2976].end 12291.20721875
transcript.pyannote[2977].speaker SPEAKER_35
transcript.pyannote[2977].start 12291.73034375
transcript.pyannote[2977].end 12292.81034375
transcript.pyannote[2978].speaker SPEAKER_35
transcript.pyannote[2978].start 12292.82721875
transcript.pyannote[2978].end 12293.02971875
transcript.pyannote[2979].speaker SPEAKER_35
transcript.pyannote[2979].start 12293.60346875
transcript.pyannote[2979].end 12293.85659375
transcript.pyannote[2980].speaker SPEAKER_35
transcript.pyannote[2980].start 12293.97471875
transcript.pyannote[2980].end 12294.09284375
transcript.pyannote[2981].speaker SPEAKER_35
transcript.pyannote[2981].start 12300.97784375
transcript.pyannote[2981].end 12313.02659375
transcript.pyannote[2982].speaker SPEAKER_35
transcript.pyannote[2982].start 12313.39784375
transcript.pyannote[2982].end 12314.69721875
transcript.pyannote[2983].speaker SPEAKER_37
transcript.pyannote[2983].start 12318.20721875
transcript.pyannote[2983].end 12323.18534375
transcript.pyannote[2984].speaker SPEAKER_37
transcript.pyannote[2984].start 12325.64909375
transcript.pyannote[2984].end 12330.30659375
transcript.pyannote[2985].speaker SPEAKER_14
transcript.pyannote[2985].start 12352.61534375
transcript.pyannote[2985].end 12354.58971875
transcript.pyannote[2986].speaker SPEAKER_37
transcript.pyannote[2986].start 12354.87659375
transcript.pyannote[2986].end 12356.61471875
transcript.pyannote[2987].speaker SPEAKER_14
transcript.pyannote[2987].start 12366.87471875
transcript.pyannote[2987].end 12367.53284375
transcript.pyannote[2988].speaker SPEAKER_14
transcript.pyannote[2988].start 12367.73534375
transcript.pyannote[2988].end 12369.40596875
transcript.pyannote[2989].speaker SPEAKER_14
transcript.pyannote[2989].start 12370.45221875
transcript.pyannote[2989].end 12371.80221875
transcript.pyannote[2990].speaker SPEAKER_14
transcript.pyannote[2990].start 12372.96659375
transcript.pyannote[2990].end 12376.76346875
transcript.pyannote[2991].speaker SPEAKER_14
transcript.pyannote[2991].start 12377.87721875
transcript.pyannote[2991].end 12379.31159375
transcript.pyannote[2992].speaker SPEAKER_14
transcript.pyannote[2992].start 12379.63221875
transcript.pyannote[2992].end 12381.03284375
transcript.pyannote[2993].speaker SPEAKER_14
transcript.pyannote[2993].start 12382.39971875
transcript.pyannote[2993].end 12384.99846875
transcript.pyannote[2994].speaker SPEAKER_14
transcript.pyannote[2994].start 12385.40346875
transcript.pyannote[2994].end 12386.55096875
transcript.pyannote[2995].speaker SPEAKER_14
transcript.pyannote[2995].start 12387.12471875
transcript.pyannote[2995].end 12387.64784375
transcript.pyannote[2996].speaker SPEAKER_14
transcript.pyannote[2996].start 12389.21721875
transcript.pyannote[2996].end 12391.10721875
transcript.pyannote[2997].speaker SPEAKER_14
transcript.pyannote[2997].start 12392.01846875
transcript.pyannote[2997].end 12394.00971875
transcript.pyannote[2998].speaker SPEAKER_14
transcript.pyannote[2998].start 12395.61284375
transcript.pyannote[2998].end 12397.57034375
transcript.pyannote[2999].speaker SPEAKER_14
transcript.pyannote[2999].start 12398.02596875
transcript.pyannote[2999].end 12399.49409375
transcript.pyannote[3000].speaker SPEAKER_14
transcript.pyannote[3000].start 12400.25346875
transcript.pyannote[3000].end 12400.70909375
transcript.pyannote[3001].speaker SPEAKER_14
transcript.pyannote[3001].start 12402.73409375
transcript.pyannote[3001].end 12410.95221875
transcript.pyannote[3002].speaker SPEAKER_14
transcript.pyannote[3002].start 12411.71159375
transcript.pyannote[3002].end 12415.49159375
transcript.pyannote[3003].speaker SPEAKER_14
transcript.pyannote[3003].start 12416.57159375
transcript.pyannote[3003].end 12418.61346875
transcript.pyannote[3004].speaker SPEAKER_14
transcript.pyannote[3004].start 12421.06034375
transcript.pyannote[3004].end 12424.72221875
transcript.pyannote[3005].speaker SPEAKER_14
transcript.pyannote[3005].start 12424.89096875
transcript.pyannote[3005].end 12424.90784375
transcript.pyannote[3006].speaker SPEAKER_14
transcript.pyannote[3006].start 12425.11034375
transcript.pyannote[3006].end 12426.17346875
transcript.pyannote[3007].speaker SPEAKER_14
transcript.pyannote[3007].start 12426.78096875
transcript.pyannote[3007].end 12428.13096875
transcript.pyannote[3008].speaker SPEAKER_14
transcript.pyannote[3008].start 12429.75096875
transcript.pyannote[3008].end 12432.61971875
transcript.pyannote[3009].speaker SPEAKER_14
transcript.pyannote[3009].start 12432.70409375
transcript.pyannote[3009].end 12434.03721875
transcript.pyannote[3010].speaker SPEAKER_14
transcript.pyannote[3010].start 12435.18471875
transcript.pyannote[3010].end 12437.02409375
transcript.pyannote[3011].speaker SPEAKER_14
transcript.pyannote[3011].start 12438.72846875
transcript.pyannote[3011].end 12440.58471875
transcript.pyannote[3012].speaker SPEAKER_14
transcript.pyannote[3012].start 12440.97284375
transcript.pyannote[3012].end 12442.44096875
transcript.pyannote[3013].speaker SPEAKER_14
transcript.pyannote[3013].start 12442.69409375
transcript.pyannote[3013].end 12445.46159375
transcript.pyannote[3014].speaker SPEAKER_14
transcript.pyannote[3014].start 12447.06471875
transcript.pyannote[3014].end 12448.90409375
transcript.pyannote[3015].speaker SPEAKER_14
transcript.pyannote[3015].start 12450.81096875
transcript.pyannote[3015].end 12452.85284375
transcript.pyannote[3016].speaker SPEAKER_10
transcript.pyannote[3016].start 12451.80659375
transcript.pyannote[3016].end 12460.02471875
transcript.pyannote[3017].speaker SPEAKER_14
transcript.pyannote[3017].start 12457.64534375
transcript.pyannote[3017].end 12458.16846875
transcript.pyannote[3018].speaker SPEAKER_14
transcript.pyannote[3018].start 12460.02471875
transcript.pyannote[3018].end 12462.35346875
transcript.pyannote[3019].speaker SPEAKER_10
transcript.pyannote[3019].start 12462.92721875
transcript.pyannote[3019].end 12463.01159375
transcript.pyannote[3020].speaker SPEAKER_14
transcript.pyannote[3020].start 12463.01159375
transcript.pyannote[3020].end 12464.10846875
transcript.pyannote[3021].speaker SPEAKER_10
transcript.pyannote[3021].start 12463.16346875
transcript.pyannote[3021].end 12465.12096875
transcript.pyannote[3022].speaker SPEAKER_10
transcript.pyannote[3022].start 12465.22221875
transcript.pyannote[3022].end 12465.23909375
transcript.pyannote[3023].speaker SPEAKER_14
transcript.pyannote[3023].start 12465.23909375
transcript.pyannote[3023].end 12465.25596875
transcript.pyannote[3024].speaker SPEAKER_10
transcript.pyannote[3024].start 12465.25596875
transcript.pyannote[3024].end 12465.27284375
transcript.pyannote[3025].speaker SPEAKER_14
transcript.pyannote[3025].start 12465.27284375
transcript.pyannote[3025].end 12465.59346875
transcript.pyannote[3026].speaker SPEAKER_10
transcript.pyannote[3026].start 12465.62721875
transcript.pyannote[3026].end 12466.15034375
transcript.pyannote[3027].speaker SPEAKER_14
transcript.pyannote[3027].start 12466.03221875
transcript.pyannote[3027].end 12469.54221875
transcript.pyannote[3028].speaker SPEAKER_14
transcript.pyannote[3028].start 12471.44909375
transcript.pyannote[3028].end 12474.14909375
transcript.pyannote[3029].speaker SPEAKER_14
transcript.pyannote[3029].start 12474.41909375
transcript.pyannote[3029].end 12475.22909375
transcript.pyannote[3030].speaker SPEAKER_14
transcript.pyannote[3030].start 12475.92096875
transcript.pyannote[3030].end 12476.29221875
transcript.pyannote[3031].speaker SPEAKER_14
transcript.pyannote[3031].start 12477.10221875
transcript.pyannote[3031].end 12478.01346875
transcript.pyannote[3032].speaker SPEAKER_14
transcript.pyannote[3032].start 12478.40159375
transcript.pyannote[3032].end 12478.90784375
transcript.pyannote[3033].speaker SPEAKER_14
transcript.pyannote[3033].start 12479.36346875
transcript.pyannote[3033].end 12480.54471875
transcript.pyannote[3034].speaker SPEAKER_14
transcript.pyannote[3034].start 12480.71346875
transcript.pyannote[3034].end 12481.69221875
transcript.pyannote[3035].speaker SPEAKER_14
transcript.pyannote[3035].start 12483.05909375
transcript.pyannote[3035].end 12484.03784375
transcript.pyannote[3036].speaker SPEAKER_14
transcript.pyannote[3036].start 12486.01221875
transcript.pyannote[3036].end 12487.42971875
transcript.pyannote[3037].speaker SPEAKER_14
transcript.pyannote[3037].start 12487.80096875
transcript.pyannote[3037].end 12489.42096875
transcript.pyannote[3038].speaker SPEAKER_14
transcript.pyannote[3038].start 12491.36159375
transcript.pyannote[3038].end 12491.66534375
transcript.pyannote[3039].speaker SPEAKER_14
transcript.pyannote[3039].start 12492.96471875
transcript.pyannote[3039].end 12494.11221875
transcript.pyannote[3040].speaker SPEAKER_14
transcript.pyannote[3040].start 12494.60159375
transcript.pyannote[3040].end 12496.37346875
transcript.pyannote[3041].speaker SPEAKER_14
transcript.pyannote[3041].start 12497.06534375
transcript.pyannote[3041].end 12500.22096875
transcript.pyannote[3042].speaker SPEAKER_14
transcript.pyannote[3042].start 12502.12784375
transcript.pyannote[3042].end 12503.08971875
transcript.pyannote[3043].speaker SPEAKER_14
transcript.pyannote[3043].start 12505.06409375
transcript.pyannote[3043].end 12506.27909375
transcript.pyannote[3044].speaker SPEAKER_14
transcript.pyannote[3044].start 12507.15659375
transcript.pyannote[3044].end 12508.03409375
transcript.pyannote[3045].speaker SPEAKER_14
transcript.pyannote[3045].start 12509.80596875
transcript.pyannote[3045].end 12512.57346875
transcript.pyannote[3046].speaker SPEAKER_14
transcript.pyannote[3046].start 12513.41721875
transcript.pyannote[3046].end 12514.63221875
transcript.pyannote[3047].speaker SPEAKER_14
transcript.pyannote[3047].start 12515.35784375
transcript.pyannote[3047].end 12518.80034375
transcript.pyannote[3048].speaker SPEAKER_14
transcript.pyannote[3048].start 12519.74534375
transcript.pyannote[3048].end 12520.09971875
transcript.pyannote[3049].speaker SPEAKER_14
transcript.pyannote[3049].start 12521.83784375
transcript.pyannote[3049].end 12522.64784375
transcript.pyannote[3050].speaker SPEAKER_14
transcript.pyannote[3050].start 12523.42409375
transcript.pyannote[3050].end 12524.48721875
transcript.pyannote[3051].speaker SPEAKER_14
transcript.pyannote[3051].start 12525.39846875
transcript.pyannote[3051].end 12526.54596875
transcript.pyannote[3052].speaker SPEAKER_14
transcript.pyannote[3052].start 12526.96784375
transcript.pyannote[3052].end 12529.21221875
transcript.pyannote[3053].speaker SPEAKER_14
transcript.pyannote[3053].start 12529.83659375
transcript.pyannote[3053].end 12530.95034375
transcript.pyannote[3054].speaker SPEAKER_14
transcript.pyannote[3054].start 12531.87846875
transcript.pyannote[3054].end 12533.17784375
transcript.pyannote[3055].speaker SPEAKER_14
transcript.pyannote[3055].start 12534.34221875
transcript.pyannote[3055].end 12535.48971875
transcript.pyannote[3056].speaker SPEAKER_14
transcript.pyannote[3056].start 12536.18159375
transcript.pyannote[3056].end 12539.67471875
transcript.pyannote[3057].speaker SPEAKER_14
transcript.pyannote[3057].start 12541.58159375
transcript.pyannote[3057].end 12542.64471875
transcript.pyannote[3058].speaker SPEAKER_14
transcript.pyannote[3058].start 12543.26909375
transcript.pyannote[3058].end 12544.14659375
transcript.pyannote[3059].speaker SPEAKER_14
transcript.pyannote[3059].start 12544.85534375
transcript.pyannote[3059].end 12545.71596875
transcript.pyannote[3060].speaker SPEAKER_14
transcript.pyannote[3060].start 12546.07034375
transcript.pyannote[3060].end 12547.43721875
transcript.pyannote[3061].speaker SPEAKER_14
transcript.pyannote[3061].start 12548.73659375
transcript.pyannote[3061].end 12553.12409375
transcript.pyannote[3062].speaker SPEAKER_14
transcript.pyannote[3062].start 12553.68096875
transcript.pyannote[3062].end 12556.24596875
transcript.pyannote[3063].speaker SPEAKER_14
transcript.pyannote[3063].start 12557.56221875
transcript.pyannote[3063].end 12559.26659375
transcript.pyannote[3064].speaker SPEAKER_14
transcript.pyannote[3064].start 12560.11034375
transcript.pyannote[3064].end 12563.41784375
transcript.pyannote[3065].speaker SPEAKER_14
transcript.pyannote[3065].start 12563.89034375
transcript.pyannote[3065].end 12565.96596875
transcript.pyannote[3066].speaker SPEAKER_14
transcript.pyannote[3066].start 12567.61971875
transcript.pyannote[3066].end 12568.09221875
transcript.pyannote[3067].speaker SPEAKER_14
transcript.pyannote[3067].start 12569.18909375
transcript.pyannote[3067].end 12572.36159375
transcript.pyannote[3068].speaker SPEAKER_14
transcript.pyannote[3068].start 12572.73284375
transcript.pyannote[3068].end 12573.25596875
transcript.pyannote[3069].speaker SPEAKER_14
transcript.pyannote[3069].start 12574.01534375
transcript.pyannote[3069].end 12575.65221875
transcript.pyannote[3070].speaker SPEAKER_14
transcript.pyannote[3070].start 12578.20034375
transcript.pyannote[3070].end 12580.46159375
transcript.pyannote[3071].speaker SPEAKER_14
transcript.pyannote[3071].start 12581.23784375
transcript.pyannote[3071].end 12581.52471875
transcript.pyannote[3072].speaker SPEAKER_14
transcript.pyannote[3072].start 12581.91284375
transcript.pyannote[3072].end 12586.97534375
transcript.pyannote[3073].speaker SPEAKER_14
transcript.pyannote[3073].start 12587.63346875
transcript.pyannote[3073].end 12588.20721875
transcript.pyannote[3074].speaker SPEAKER_14
transcript.pyannote[3074].start 12589.59096875
transcript.pyannote[3074].end 12590.75534375
transcript.pyannote[3075].speaker SPEAKER_14
transcript.pyannote[3075].start 12591.21096875
transcript.pyannote[3075].end 12592.45971875
transcript.pyannote[3076].speaker SPEAKER_14
transcript.pyannote[3076].start 12593.69159375
transcript.pyannote[3076].end 12595.53096875
transcript.pyannote[3077].speaker SPEAKER_14
transcript.pyannote[3077].start 12596.25659375
transcript.pyannote[3077].end 12597.79221875
transcript.pyannote[3078].speaker SPEAKER_14
transcript.pyannote[3078].start 12598.24784375
transcript.pyannote[3078].end 12599.98596875
transcript.pyannote[3079].speaker SPEAKER_14
transcript.pyannote[3079].start 12600.96471875
transcript.pyannote[3079].end 12601.20096875
transcript.pyannote[3080].speaker SPEAKER_14
transcript.pyannote[3080].start 12601.99409375
transcript.pyannote[3080].end 12603.14159375
transcript.pyannote[3081].speaker SPEAKER_14
transcript.pyannote[3081].start 12603.20909375
transcript.pyannote[3081].end 12605.62221875
transcript.pyannote[3082].speaker SPEAKER_14
transcript.pyannote[3082].start 12606.39846875
transcript.pyannote[3082].end 12608.87909375
transcript.pyannote[3083].speaker SPEAKER_14
transcript.pyannote[3083].start 12611.51159375
transcript.pyannote[3083].end 12612.06846875
transcript.pyannote[3084].speaker SPEAKER_14
transcript.pyannote[3084].start 12612.60846875
transcript.pyannote[3084].end 12613.35096875
transcript.pyannote[3085].speaker SPEAKER_14
transcript.pyannote[3085].start 12613.68846875
transcript.pyannote[3085].end 12615.34221875
transcript.pyannote[3086].speaker SPEAKER_14
transcript.pyannote[3086].start 12616.16909375
transcript.pyannote[3086].end 12619.25721875
transcript.pyannote[3087].speaker SPEAKER_14
transcript.pyannote[3087].start 12620.06721875
transcript.pyannote[3087].end 12625.55159375
transcript.pyannote[3088].speaker SPEAKER_14
transcript.pyannote[3088].start 12626.37846875
transcript.pyannote[3088].end 12627.44159375
transcript.pyannote[3089].speaker SPEAKER_14
transcript.pyannote[3089].start 12628.08284375
transcript.pyannote[3089].end 12628.87596875
transcript.pyannote[3090].speaker SPEAKER_14
transcript.pyannote[3090].start 12630.83346875
transcript.pyannote[3090].end 12634.02284375
transcript.pyannote[3091].speaker SPEAKER_14
transcript.pyannote[3091].start 12634.86659375
transcript.pyannote[3091].end 12636.80721875
transcript.pyannote[3092].speaker SPEAKER_14
transcript.pyannote[3092].start 12637.75221875
transcript.pyannote[3092].end 12638.86596875
transcript.pyannote[3093].speaker SPEAKER_14
transcript.pyannote[3093].start 12639.10221875
transcript.pyannote[3093].end 12641.48159375
transcript.pyannote[3094].speaker SPEAKER_14
transcript.pyannote[3094].start 12641.83596875
transcript.pyannote[3094].end 12642.59534375
transcript.pyannote[3095].speaker SPEAKER_14
transcript.pyannote[3095].start 12642.64596875
transcript.pyannote[3095].end 12644.56971875
transcript.pyannote[3096].speaker SPEAKER_14
transcript.pyannote[3096].start 12645.97034375
transcript.pyannote[3096].end 12652.92284375
transcript.pyannote[3097].speaker SPEAKER_14
transcript.pyannote[3097].start 12653.12534375
transcript.pyannote[3097].end 12659.31846875
transcript.pyannote[3098].speaker SPEAKER_14
transcript.pyannote[3098].start 12659.75721875
transcript.pyannote[3098].end 12660.39846875
transcript.pyannote[3099].speaker SPEAKER_14
transcript.pyannote[3099].start 12660.65159375
transcript.pyannote[3099].end 12662.22096875
transcript.pyannote[3100].speaker SPEAKER_14
transcript.pyannote[3100].start 12662.84534375
transcript.pyannote[3100].end 12665.27534375
transcript.pyannote[3101].speaker SPEAKER_14
transcript.pyannote[3101].start 12666.55784375
transcript.pyannote[3101].end 12667.28346875
transcript.pyannote[3102].speaker SPEAKER_14
transcript.pyannote[3102].start 12667.65471875
transcript.pyannote[3102].end 12668.92034375
transcript.pyannote[3103].speaker SPEAKER_14
transcript.pyannote[3103].start 12669.37596875
transcript.pyannote[3103].end 12671.78909375
transcript.pyannote[3104].speaker SPEAKER_14
transcript.pyannote[3104].start 12673.18971875
transcript.pyannote[3104].end 12677.03721875
transcript.pyannote[3105].speaker SPEAKER_14
transcript.pyannote[3105].start 12677.67846875
transcript.pyannote[3105].end 12678.38721875
transcript.pyannote[3106].speaker SPEAKER_14
transcript.pyannote[3106].start 12679.46721875
transcript.pyannote[3106].end 12680.69909375
transcript.pyannote[3107].speaker SPEAKER_14
transcript.pyannote[3107].start 12681.64409375
transcript.pyannote[3107].end 12684.00659375
transcript.pyannote[3108].speaker SPEAKER_14
transcript.pyannote[3108].start 12685.32284375
transcript.pyannote[3108].end 12694.78971875
transcript.pyannote[3109].speaker SPEAKER_14
transcript.pyannote[3109].start 12696.08909375
transcript.pyannote[3109].end 12704.23971875
transcript.pyannote[3110].speaker SPEAKER_14
transcript.pyannote[3110].start 12705.04971875
transcript.pyannote[3110].end 12706.95659375
transcript.pyannote[3111].speaker SPEAKER_14
transcript.pyannote[3111].start 12708.59346875
transcript.pyannote[3111].end 12709.06596875
transcript.pyannote[3112].speaker SPEAKER_14
transcript.pyannote[3112].start 12709.47096875
transcript.pyannote[3112].end 12710.28096875
transcript.pyannote[3113].speaker SPEAKER_14
transcript.pyannote[3113].start 12711.59721875
transcript.pyannote[3113].end 12712.22159375
transcript.pyannote[3114].speaker SPEAKER_14
transcript.pyannote[3114].start 12712.71096875
transcript.pyannote[3114].end 12714.11159375
transcript.pyannote[3115].speaker SPEAKER_14
transcript.pyannote[3115].start 12715.12409375
transcript.pyannote[3115].end 12717.92534375
transcript.pyannote[3116].speaker SPEAKER_14
transcript.pyannote[3116].start 12719.05596875
transcript.pyannote[3116].end 12719.73096875
transcript.pyannote[3117].speaker SPEAKER_14
transcript.pyannote[3117].start 12720.76034375
transcript.pyannote[3117].end 12721.48596875
transcript.pyannote[3118].speaker SPEAKER_14
transcript.pyannote[3118].start 12722.09346875
transcript.pyannote[3118].end 12723.57846875
transcript.pyannote[3119].speaker SPEAKER_14
transcript.pyannote[3119].start 12724.54034375
transcript.pyannote[3119].end 12724.97909375
transcript.pyannote[3120].speaker SPEAKER_14
transcript.pyannote[3120].start 12725.87346875
transcript.pyannote[3120].end 12726.73409375
transcript.pyannote[3121].speaker SPEAKER_14
transcript.pyannote[3121].start 12727.29096875
transcript.pyannote[3121].end 12727.93221875
transcript.pyannote[3122].speaker SPEAKER_14
transcript.pyannote[3122].start 12730.39596875
transcript.pyannote[3122].end 12731.29034375
transcript.pyannote[3123].speaker SPEAKER_14
transcript.pyannote[3123].start 12732.84284375
transcript.pyannote[3123].end 12734.32784375
transcript.pyannote[3124].speaker SPEAKER_14
transcript.pyannote[3124].start 12735.74534375
transcript.pyannote[3124].end 12736.63971875
transcript.pyannote[3125].speaker SPEAKER_14
transcript.pyannote[3125].start 12737.70284375
transcript.pyannote[3125].end 12742.02284375
transcript.pyannote[3126].speaker SPEAKER_14
transcript.pyannote[3126].start 12743.45721875
transcript.pyannote[3126].end 12744.60471875
transcript.pyannote[3127].speaker SPEAKER_10
transcript.pyannote[3127].start 12745.53284375
transcript.pyannote[3127].end 12749.22846875
transcript.pyannote[3128].speaker SPEAKER_10
transcript.pyannote[3128].start 12749.46471875
transcript.pyannote[3128].end 12750.17346875
transcript.pyannote[3129].speaker SPEAKER_14
transcript.pyannote[3129].start 12749.81909375
transcript.pyannote[3129].end 12755.52284375
transcript.pyannote[3130].speaker SPEAKER_10
transcript.pyannote[3130].start 12751.45596875
transcript.pyannote[3130].end 12752.11409375
transcript.pyannote[3131].speaker SPEAKER_09
transcript.pyannote[3131].start 12756.48471875
transcript.pyannote[3131].end 12756.80534375
transcript.pyannote[3132].speaker SPEAKER_10
transcript.pyannote[3132].start 12756.80534375
transcript.pyannote[3132].end 12756.83909375
transcript.pyannote[3133].speaker SPEAKER_14
transcript.pyannote[3133].start 12756.83909375
transcript.pyannote[3133].end 12757.29471875
transcript.pyannote[3134].speaker SPEAKER_14
transcript.pyannote[3134].start 12757.66596875
transcript.pyannote[3134].end 12759.72471875
transcript.pyannote[3135].speaker SPEAKER_10
transcript.pyannote[3135].start 12760.06221875
transcript.pyannote[3135].end 12760.14659375
transcript.pyannote[3136].speaker SPEAKER_14
transcript.pyannote[3136].start 12760.14659375
transcript.pyannote[3136].end 12760.97346875
transcript.pyannote[3137].speaker SPEAKER_10
transcript.pyannote[3137].start 12760.97346875
transcript.pyannote[3137].end 12761.02409375
transcript.pyannote[3138].speaker SPEAKER_14
transcript.pyannote[3138].start 12761.02409375
transcript.pyannote[3138].end 12761.31096875
transcript.pyannote[3139].speaker SPEAKER_14
transcript.pyannote[3139].start 12761.63159375
transcript.pyannote[3139].end 12762.52596875
transcript.pyannote[3140].speaker SPEAKER_14
transcript.pyannote[3140].start 12762.77909375
transcript.pyannote[3140].end 12766.17096875
transcript.pyannote[3141].speaker SPEAKER_10
transcript.pyannote[3141].start 12763.06596875
transcript.pyannote[3141].end 12763.80846875
transcript.pyannote[3142].speaker SPEAKER_14
transcript.pyannote[3142].start 12769.36034375
transcript.pyannote[3142].end 12772.39784375
transcript.pyannote[3143].speaker SPEAKER_14
transcript.pyannote[3143].start 12772.56659375
transcript.pyannote[3143].end 12773.03909375
transcript.pyannote[3144].speaker SPEAKER_14
transcript.pyannote[3144].start 12775.26659375
transcript.pyannote[3144].end 12777.00471875
transcript.pyannote[3145].speaker SPEAKER_14
transcript.pyannote[3145].start 12778.06784375
transcript.pyannote[3145].end 12778.55721875
transcript.pyannote[3146].speaker SPEAKER_14
transcript.pyannote[3146].start 12779.16471875
transcript.pyannote[3146].end 12787.95659375
transcript.pyannote[3147].speaker SPEAKER_14
transcript.pyannote[3147].start 12789.12096875
transcript.pyannote[3147].end 12790.94346875
transcript.pyannote[3148].speaker SPEAKER_14
transcript.pyannote[3148].start 12791.97284375
transcript.pyannote[3148].end 12792.91784375
transcript.pyannote[3149].speaker SPEAKER_14
transcript.pyannote[3149].start 12794.25096875
transcript.pyannote[3149].end 12796.07346875
transcript.pyannote[3150].speaker SPEAKER_14
transcript.pyannote[3150].start 12796.96784375
transcript.pyannote[3150].end 12799.02659375
transcript.pyannote[3151].speaker SPEAKER_14
transcript.pyannote[3151].start 12799.19534375
transcript.pyannote[3151].end 12801.55784375
transcript.pyannote[3152].speaker SPEAKER_14
transcript.pyannote[3152].start 12801.91221875
transcript.pyannote[3152].end 12803.04284375
transcript.pyannote[3153].speaker SPEAKER_14
transcript.pyannote[3153].start 12803.59971875
transcript.pyannote[3153].end 12804.74721875
transcript.pyannote[3154].speaker SPEAKER_14
transcript.pyannote[3154].start 12805.99596875
transcript.pyannote[3154].end 12807.12659375
transcript.pyannote[3155].speaker SPEAKER_14
transcript.pyannote[3155].start 12807.95346875
transcript.pyannote[3155].end 12809.13471875
transcript.pyannote[3156].speaker SPEAKER_14
transcript.pyannote[3156].start 12809.40471875
transcript.pyannote[3156].end 12810.53534375
transcript.pyannote[3157].speaker SPEAKER_14
transcript.pyannote[3157].start 12811.10909375
transcript.pyannote[3157].end 12812.62784375
transcript.pyannote[3158].speaker SPEAKER_14
transcript.pyannote[3158].start 12814.21409375
transcript.pyannote[3158].end 12815.88471875
transcript.pyannote[3159].speaker SPEAKER_14
transcript.pyannote[3159].start 12816.96471875
transcript.pyannote[3159].end 12818.24721875
transcript.pyannote[3160].speaker SPEAKER_14
transcript.pyannote[3160].start 12818.50034375
transcript.pyannote[3160].end 12820.27221875
transcript.pyannote[3161].speaker SPEAKER_14
transcript.pyannote[3161].start 12821.48721875
transcript.pyannote[3161].end 12823.15784375
transcript.pyannote[3162].speaker SPEAKER_09
transcript.pyannote[3162].start 12822.88784375
transcript.pyannote[3162].end 12823.27596875
transcript.pyannote[3163].speaker SPEAKER_14
transcript.pyannote[3163].start 12823.27596875
transcript.pyannote[3163].end 12823.51221875
transcript.pyannote[3164].speaker SPEAKER_09
transcript.pyannote[3164].start 12823.51221875
transcript.pyannote[3164].end 12823.57971875
transcript.pyannote[3165].speaker SPEAKER_14
transcript.pyannote[3165].start 12823.57971875
transcript.pyannote[3165].end 12823.66409375
transcript.pyannote[3166].speaker SPEAKER_14
transcript.pyannote[3166].start 12823.81596875
transcript.pyannote[3166].end 12824.54159375
transcript.pyannote[3167].speaker SPEAKER_14
transcript.pyannote[3167].start 12826.51596875
transcript.pyannote[3167].end 12829.40159375
transcript.pyannote[3168].speaker SPEAKER_14
transcript.pyannote[3168].start 12831.47721875
transcript.pyannote[3168].end 12837.41721875
transcript.pyannote[3169].speaker SPEAKER_27
transcript.pyannote[3169].start 12832.28721875
transcript.pyannote[3169].end 12833.56971875
transcript.pyannote[3170].speaker SPEAKER_36
transcript.pyannote[3170].start 12833.56971875
transcript.pyannote[3170].end 12833.73846875
transcript.pyannote[3171].speaker SPEAKER_00
transcript.pyannote[3171].start 12833.73846875
transcript.pyannote[3171].end 12833.75534375
transcript.pyannote[3172].speaker SPEAKER_14
transcript.pyannote[3172].start 12837.99096875
transcript.pyannote[3172].end 12839.34096875
transcript.pyannote[3173].speaker SPEAKER_14
transcript.pyannote[3173].start 12840.47159375
transcript.pyannote[3173].end 12844.75784375
transcript.pyannote[3174].speaker SPEAKER_14
transcript.pyannote[3174].start 12845.92221875
transcript.pyannote[3174].end 12850.86659375
transcript.pyannote[3175].speaker SPEAKER_30
transcript.pyannote[3175].start 12846.86721875
transcript.pyannote[3175].end 12847.13721875
transcript.pyannote[3176].speaker SPEAKER_14
transcript.pyannote[3176].start 12851.54159375
transcript.pyannote[3176].end 12855.89534375
transcript.pyannote[3177].speaker SPEAKER_14
transcript.pyannote[3177].start 12856.58721875
transcript.pyannote[3177].end 12859.43909375
transcript.pyannote[3178].speaker SPEAKER_14
transcript.pyannote[3178].start 12859.72596875
transcript.pyannote[3178].end 12861.70034375
transcript.pyannote[3179].speaker SPEAKER_14
transcript.pyannote[3179].start 12862.59471875
transcript.pyannote[3179].end 12864.41721875
transcript.pyannote[3180].speaker SPEAKER_14
transcript.pyannote[3180].start 12865.31159375
transcript.pyannote[3180].end 12866.86409375
transcript.pyannote[3181].speaker SPEAKER_14
transcript.pyannote[3181].start 12867.25221875
transcript.pyannote[3181].end 12872.38221875
transcript.pyannote[3182].speaker SPEAKER_14
transcript.pyannote[3182].start 12872.63534375
transcript.pyannote[3182].end 12875.94284375
transcript.pyannote[3183].speaker SPEAKER_14
transcript.pyannote[3183].start 12876.80346875
transcript.pyannote[3183].end 12878.03534375
transcript.pyannote[3184].speaker SPEAKER_10
transcript.pyannote[3184].start 12879.79034375
transcript.pyannote[3184].end 12880.81971875
transcript.pyannote[3185].speaker SPEAKER_10
transcript.pyannote[3185].start 12881.19096875
transcript.pyannote[3185].end 12883.23284375
transcript.pyannote[3186].speaker SPEAKER_10
transcript.pyannote[3186].start 12883.58721875
transcript.pyannote[3186].end 12884.32971875
transcript.pyannote[3187].speaker SPEAKER_10
transcript.pyannote[3187].start 12884.65034375
transcript.pyannote[3187].end 12886.28721875
transcript.pyannote[3188].speaker SPEAKER_10
transcript.pyannote[3188].start 12886.48971875
transcript.pyannote[3188].end 12891.38346875
transcript.pyannote[3189].speaker SPEAKER_14
transcript.pyannote[3189].start 12888.63284375
transcript.pyannote[3189].end 12897.42471875
transcript.pyannote[3190].speaker SPEAKER_14
transcript.pyannote[3190].start 12898.72409375
transcript.pyannote[3190].end 12899.48346875
transcript.pyannote[3191].speaker SPEAKER_14
transcript.pyannote[3191].start 12899.75346875
transcript.pyannote[3191].end 12902.97659375
transcript.pyannote[3192].speaker SPEAKER_10
transcript.pyannote[3192].start 12902.97659375
transcript.pyannote[3192].end 12903.83721875
transcript.pyannote[3193].speaker SPEAKER_10
transcript.pyannote[3193].start 12904.54596875
transcript.pyannote[3193].end 12911.71784375
transcript.pyannote[3194].speaker SPEAKER_13
transcript.pyannote[3194].start 12906.19971875
transcript.pyannote[3194].end 12906.60471875
transcript.pyannote[3195].speaker SPEAKER_10
transcript.pyannote[3195].start 12912.29159375
transcript.pyannote[3195].end 12914.72159375
transcript.pyannote[3196].speaker SPEAKER_14
transcript.pyannote[3196].start 12914.72159375
transcript.pyannote[3196].end 12914.73846875
transcript.pyannote[3197].speaker SPEAKER_14
transcript.pyannote[3197].start 12915.21096875
transcript.pyannote[3197].end 12917.35409375
transcript.pyannote[3198].speaker SPEAKER_14
transcript.pyannote[3198].start 12918.88971875
transcript.pyannote[3198].end 12919.68284375
transcript.pyannote[3199].speaker SPEAKER_14
transcript.pyannote[3199].start 12920.13846875
transcript.pyannote[3199].end 12920.93159375
transcript.pyannote[3200].speaker SPEAKER_14
transcript.pyannote[3200].start 12921.57284375
transcript.pyannote[3200].end 12926.04471875
transcript.pyannote[3201].speaker SPEAKER_14
transcript.pyannote[3201].start 12926.75346875
transcript.pyannote[3201].end 12934.00971875
transcript.pyannote[3202].speaker SPEAKER_14
transcript.pyannote[3202].start 12934.58346875
transcript.pyannote[3202].end 12936.40596875
transcript.pyannote[3203].speaker SPEAKER_14
transcript.pyannote[3203].start 12937.18221875
transcript.pyannote[3203].end 12940.74284375
transcript.pyannote[3204].speaker SPEAKER_14
transcript.pyannote[3204].start 12941.73846875
transcript.pyannote[3204].end 12943.18971875
transcript.pyannote[3205].speaker SPEAKER_14
transcript.pyannote[3205].start 12943.52721875
transcript.pyannote[3205].end 12945.87284375
transcript.pyannote[3206].speaker SPEAKER_14
transcript.pyannote[3206].start 12946.61534375
transcript.pyannote[3206].end 12953.23034375
transcript.pyannote[3207].speaker SPEAKER_14
transcript.pyannote[3207].start 12953.63534375
transcript.pyannote[3207].end 12955.17096875
transcript.pyannote[3208].speaker SPEAKER_14
transcript.pyannote[3208].start 12956.03159375
transcript.pyannote[3208].end 12959.87909375
transcript.pyannote[3209].speaker SPEAKER_14
transcript.pyannote[3209].start 12961.22909375
transcript.pyannote[3209].end 12963.35534375
transcript.pyannote[3210].speaker SPEAKER_14
transcript.pyannote[3210].start 12964.30034375
transcript.pyannote[3210].end 12969.07596875
transcript.pyannote[3211].speaker SPEAKER_14
transcript.pyannote[3211].start 12970.17284375
transcript.pyannote[3211].end 12973.22721875
transcript.pyannote[3212].speaker SPEAKER_14
transcript.pyannote[3212].start 12974.27346875
transcript.pyannote[3212].end 12981.51284375
transcript.pyannote[3213].speaker SPEAKER_14
transcript.pyannote[3213].start 12982.35659375
transcript.pyannote[3213].end 12985.17471875
transcript.pyannote[3214].speaker SPEAKER_14
transcript.pyannote[3214].start 12986.11971875
transcript.pyannote[3214].end 12986.99721875
transcript.pyannote[3215].speaker SPEAKER_14
transcript.pyannote[3215].start 12988.31346875
transcript.pyannote[3215].end 12989.25846875
transcript.pyannote[3216].speaker SPEAKER_14
transcript.pyannote[3216].start 12990.35534375
transcript.pyannote[3216].end 12992.26221875
transcript.pyannote[3217].speaker SPEAKER_14
transcript.pyannote[3217].start 12993.08909375
transcript.pyannote[3217].end 12993.40971875
transcript.pyannote[3218].speaker SPEAKER_14
transcript.pyannote[3218].start 12994.77659375
transcript.pyannote[3218].end 12996.73409375
transcript.pyannote[3219].speaker SPEAKER_14
transcript.pyannote[3219].start 12997.61159375
transcript.pyannote[3219].end 12999.07971875
transcript.pyannote[3220].speaker SPEAKER_14
transcript.pyannote[3220].start 13000.12596875
transcript.pyannote[3220].end 13001.15534375
transcript.pyannote[3221].speaker SPEAKER_14
transcript.pyannote[3221].start 13001.94846875
transcript.pyannote[3221].end 13004.10846875
transcript.pyannote[3222].speaker SPEAKER_14
transcript.pyannote[3222].start 13005.22221875
transcript.pyannote[3222].end 13007.82096875
transcript.pyannote[3223].speaker SPEAKER_14
transcript.pyannote[3223].start 13008.39471875
transcript.pyannote[3223].end 13012.15784375
transcript.pyannote[3224].speaker SPEAKER_14
transcript.pyannote[3224].start 13013.28846875
transcript.pyannote[3224].end 13013.72721875
transcript.pyannote[3225].speaker SPEAKER_14
transcript.pyannote[3225].start 13014.30096875
transcript.pyannote[3225].end 13015.60034375
transcript.pyannote[3226].speaker SPEAKER_14
transcript.pyannote[3226].start 13016.03909375
transcript.pyannote[3226].end 13017.16971875
transcript.pyannote[3227].speaker SPEAKER_14
transcript.pyannote[3227].start 13017.91221875
transcript.pyannote[3227].end 13019.83596875
transcript.pyannote[3228].speaker SPEAKER_14
transcript.pyannote[3228].start 13020.93284375
transcript.pyannote[3228].end 13021.45596875
transcript.pyannote[3229].speaker SPEAKER_14
transcript.pyannote[3229].start 13021.99596875
transcript.pyannote[3229].end 13023.31221875
transcript.pyannote[3230].speaker SPEAKER_14
transcript.pyannote[3230].start 13023.95346875
transcript.pyannote[3230].end 13026.46784375
transcript.pyannote[3231].speaker SPEAKER_14
transcript.pyannote[3231].start 13027.41284375
transcript.pyannote[3231].end 13028.18909375
transcript.pyannote[3232].speaker SPEAKER_14
transcript.pyannote[3232].start 13028.74596875
transcript.pyannote[3232].end 13029.82596875
transcript.pyannote[3233].speaker SPEAKER_14
transcript.pyannote[3233].start 13030.93971875
transcript.pyannote[3233].end 13031.64846875
transcript.pyannote[3234].speaker SPEAKER_14
transcript.pyannote[3234].start 13032.32346875
transcript.pyannote[3234].end 13033.13346875
transcript.pyannote[3235].speaker SPEAKER_14
transcript.pyannote[3235].start 13033.25159375
transcript.pyannote[3235].end 13034.02784375
transcript.pyannote[3236].speaker SPEAKER_14
transcript.pyannote[3236].start 13035.17534375
transcript.pyannote[3236].end 13035.88409375
transcript.pyannote[3237].speaker SPEAKER_14
transcript.pyannote[3237].start 13036.18784375
transcript.pyannote[3237].end 13037.03159375
transcript.pyannote[3238].speaker SPEAKER_14
transcript.pyannote[3238].start 13038.11159375
transcript.pyannote[3238].end 13039.76534375
transcript.pyannote[3239].speaker SPEAKER_14
transcript.pyannote[3239].start 13041.16596875
transcript.pyannote[3239].end 13047.03846875
transcript.pyannote[3240].speaker SPEAKER_14
transcript.pyannote[3240].start 13048.08471875
transcript.pyannote[3240].end 13048.37159375
transcript.pyannote[3241].speaker SPEAKER_14
transcript.pyannote[3241].start 13048.97909375
transcript.pyannote[3241].end 13052.37096875
transcript.pyannote[3242].speaker SPEAKER_10
transcript.pyannote[3242].start 13052.79284375
transcript.pyannote[3242].end 13054.78409375
transcript.pyannote[3243].speaker SPEAKER_10
transcript.pyannote[3243].start 13055.00346875
transcript.pyannote[3243].end 13061.78721875
transcript.pyannote[3244].speaker SPEAKER_10
transcript.pyannote[3244].start 13061.80409375
transcript.pyannote[3244].end 13063.08659375
transcript.pyannote[3245].speaker SPEAKER_14
transcript.pyannote[3245].start 13062.54659375
transcript.pyannote[3245].end 13066.24221875
transcript.pyannote[3246].speaker SPEAKER_10
transcript.pyannote[3246].start 13067.11971875
transcript.pyannote[3246].end 13069.02659375
transcript.pyannote[3247].speaker SPEAKER_10
transcript.pyannote[3247].start 13069.17846875
transcript.pyannote[3247].end 13070.24159375
transcript.pyannote[3248].speaker SPEAKER_10
transcript.pyannote[3248].start 13070.47784375
transcript.pyannote[3248].end 13073.24534375
transcript.pyannote[3249].speaker SPEAKER_10
transcript.pyannote[3249].start 13073.66721875
transcript.pyannote[3249].end 13074.37596875
transcript.pyannote[3250].speaker SPEAKER_14
transcript.pyannote[3250].start 13074.37596875
transcript.pyannote[3250].end 13076.75534375
transcript.pyannote[3251].speaker SPEAKER_14
transcript.pyannote[3251].start 13078.03784375
transcript.pyannote[3251].end 13079.30346875
transcript.pyannote[3252].speaker SPEAKER_10
transcript.pyannote[3252].start 13079.67471875
transcript.pyannote[3252].end 13081.56471875
transcript.pyannote[3253].speaker SPEAKER_14
transcript.pyannote[3253].start 13081.56471875
transcript.pyannote[3253].end 13083.08346875
transcript.pyannote[3254].speaker SPEAKER_10
transcript.pyannote[3254].start 13082.07096875
transcript.pyannote[3254].end 13083.04971875
transcript.pyannote[3255].speaker SPEAKER_10
transcript.pyannote[3255].start 13083.08346875
transcript.pyannote[3255].end 13084.11284375
transcript.pyannote[3256].speaker SPEAKER_14
transcript.pyannote[3256].start 13084.11284375
transcript.pyannote[3256].end 13087.58909375
transcript.pyannote[3257].speaker SPEAKER_10
transcript.pyannote[3257].start 13087.58909375
transcript.pyannote[3257].end 13087.65659375
transcript.pyannote[3258].speaker SPEAKER_14
transcript.pyannote[3258].start 13087.65659375
transcript.pyannote[3258].end 13088.51721875
transcript.pyannote[3259].speaker SPEAKER_10
transcript.pyannote[3259].start 13088.51721875
transcript.pyannote[3259].end 13088.63534375
transcript.pyannote[3260].speaker SPEAKER_14
transcript.pyannote[3260].start 13088.63534375
transcript.pyannote[3260].end 13089.47909375
transcript.pyannote[3261].speaker SPEAKER_10
transcript.pyannote[3261].start 13089.47909375
transcript.pyannote[3261].end 13090.17096875
transcript.pyannote[3262].speaker SPEAKER_14
transcript.pyannote[3262].start 13089.59721875
transcript.pyannote[3262].end 13089.93471875
transcript.pyannote[3263].speaker SPEAKER_14
transcript.pyannote[3263].start 13090.17096875
transcript.pyannote[3263].end 13091.16659375
transcript.pyannote[3264].speaker SPEAKER_10
transcript.pyannote[3264].start 13091.16659375
transcript.pyannote[3264].end 13091.23409375
transcript.pyannote[3265].speaker SPEAKER_14
transcript.pyannote[3265].start 13091.55471875
transcript.pyannote[3265].end 13093.30971875
transcript.pyannote[3266].speaker SPEAKER_10
transcript.pyannote[3266].start 13093.02284375
transcript.pyannote[3266].end 13093.14096875
transcript.pyannote[3267].speaker SPEAKER_41
transcript.pyannote[3267].start 13093.14096875
transcript.pyannote[3267].end 13093.69784375
transcript.pyannote[3268].speaker SPEAKER_10
transcript.pyannote[3268].start 13093.30971875
transcript.pyannote[3268].end 13093.32659375
transcript.pyannote[3269].speaker SPEAKER_41
transcript.pyannote[3269].start 13094.18721875
transcript.pyannote[3269].end 13098.77721875
transcript.pyannote[3270].speaker SPEAKER_14
transcript.pyannote[3270].start 13094.32221875
transcript.pyannote[3270].end 13094.59221875
transcript.pyannote[3271].speaker SPEAKER_41
transcript.pyannote[3271].start 13099.50284375
transcript.pyannote[3271].end 13103.29971875
transcript.pyannote[3272].speaker SPEAKER_14
transcript.pyannote[3272].start 13102.99596875
transcript.pyannote[3272].end 13103.40096875
transcript.pyannote[3273].speaker SPEAKER_41
transcript.pyannote[3273].start 13103.94096875
transcript.pyannote[3273].end 13103.95784375
transcript.pyannote[3274].speaker SPEAKER_14
transcript.pyannote[3274].start 13103.95784375
transcript.pyannote[3274].end 13105.27409375
transcript.pyannote[3275].speaker SPEAKER_41
transcript.pyannote[3275].start 13105.27409375
transcript.pyannote[3275].end 13105.45971875
transcript.pyannote[3276].speaker SPEAKER_14
transcript.pyannote[3276].start 13105.45971875
transcript.pyannote[3276].end 13106.03346875
transcript.pyannote[3277].speaker SPEAKER_14
transcript.pyannote[3277].start 13106.30346875
transcript.pyannote[3277].end 13110.21846875
transcript.pyannote[3278].speaker SPEAKER_14
transcript.pyannote[3278].start 13110.31971875
transcript.pyannote[3278].end 13110.75846875
transcript.pyannote[3279].speaker SPEAKER_14
transcript.pyannote[3279].start 13111.12971875
transcript.pyannote[3279].end 13112.71596875
transcript.pyannote[3280].speaker SPEAKER_14
transcript.pyannote[3280].start 13113.94784375
transcript.pyannote[3280].end 13116.34409375
transcript.pyannote[3281].speaker SPEAKER_14
transcript.pyannote[3281].start 13116.66471875
transcript.pyannote[3281].end 13119.34784375
transcript.pyannote[3282].speaker SPEAKER_14
transcript.pyannote[3282].start 13120.76534375
transcript.pyannote[3282].end 13122.36846875
transcript.pyannote[3283].speaker SPEAKER_14
transcript.pyannote[3283].start 13123.46534375
transcript.pyannote[3283].end 13123.71846875
transcript.pyannote[3284].speaker SPEAKER_14
transcript.pyannote[3284].start 13124.47784375
transcript.pyannote[3284].end 13125.97971875
transcript.pyannote[3285].speaker SPEAKER_14
transcript.pyannote[3285].start 13126.95846875
transcript.pyannote[3285].end 13127.73471875
transcript.pyannote[3286].speaker SPEAKER_14
transcript.pyannote[3286].start 13128.17346875
transcript.pyannote[3286].end 13129.16909375
transcript.pyannote[3287].speaker SPEAKER_14
transcript.pyannote[3287].start 13129.50659375
transcript.pyannote[3287].end 13130.99159375
transcript.pyannote[3288].speaker SPEAKER_14
transcript.pyannote[3288].start 13131.63284375
transcript.pyannote[3288].end 13132.25721875
transcript.pyannote[3289].speaker SPEAKER_14
transcript.pyannote[3289].start 13132.86471875
transcript.pyannote[3289].end 13137.08346875
transcript.pyannote[3290].speaker SPEAKER_14
transcript.pyannote[3290].start 13138.28159375
transcript.pyannote[3290].end 13139.20971875
transcript.pyannote[3291].speaker SPEAKER_14
transcript.pyannote[3291].start 13139.81721875
transcript.pyannote[3291].end 13141.77471875
transcript.pyannote[3292].speaker SPEAKER_14
transcript.pyannote[3292].start 13142.50034375
transcript.pyannote[3292].end 13144.96409375
transcript.pyannote[3293].speaker SPEAKER_14
transcript.pyannote[3293].start 13145.63909375
transcript.pyannote[3293].end 13149.04784375
transcript.pyannote[3294].speaker SPEAKER_14
transcript.pyannote[3294].start 13149.58784375
transcript.pyannote[3294].end 13151.19096875
transcript.pyannote[3295].speaker SPEAKER_14
transcript.pyannote[3295].start 13151.91659375
transcript.pyannote[3295].end 13152.76034375
transcript.pyannote[3296].speaker SPEAKER_14
transcript.pyannote[3296].start 13153.67159375
transcript.pyannote[3296].end 13154.39721875
transcript.pyannote[3297].speaker SPEAKER_14
transcript.pyannote[3297].start 13154.97096875
transcript.pyannote[3297].end 13158.51471875
transcript.pyannote[3298].speaker SPEAKER_14
transcript.pyannote[3298].start 13159.30784375
transcript.pyannote[3298].end 13160.47221875
transcript.pyannote[3299].speaker SPEAKER_14
transcript.pyannote[3299].start 13161.19784375
transcript.pyannote[3299].end 13163.64471875
transcript.pyannote[3300].speaker SPEAKER_10
transcript.pyannote[3300].start 13164.33659375
transcript.pyannote[3300].end 13165.72034375
transcript.pyannote[3301].speaker SPEAKER_10
transcript.pyannote[3301].start 13165.87221875
transcript.pyannote[3301].end 13165.97346875
transcript.pyannote[3302].speaker SPEAKER_14
transcript.pyannote[3302].start 13165.97346875
transcript.pyannote[3302].end 13166.00721875
transcript.pyannote[3303].speaker SPEAKER_10
transcript.pyannote[3303].start 13166.00721875
transcript.pyannote[3303].end 13166.02409375
transcript.pyannote[3304].speaker SPEAKER_14
transcript.pyannote[3304].start 13166.02409375
transcript.pyannote[3304].end 13166.04096875
transcript.pyannote[3305].speaker SPEAKER_10
transcript.pyannote[3305].start 13166.04096875
transcript.pyannote[3305].end 13168.18409375
transcript.pyannote[3306].speaker SPEAKER_14
transcript.pyannote[3306].start 13166.10846875
transcript.pyannote[3306].end 13168.20096875
transcript.pyannote[3307].speaker SPEAKER_10
transcript.pyannote[3307].start 13168.20096875
transcript.pyannote[3307].end 13168.43721875
transcript.pyannote[3308].speaker SPEAKER_14
transcript.pyannote[3308].start 13168.58909375
transcript.pyannote[3308].end 13169.83784375
transcript.pyannote[3309].speaker SPEAKER_14
transcript.pyannote[3309].start 13169.92221875
transcript.pyannote[3309].end 13170.42846875
transcript.pyannote[3310].speaker SPEAKER_14
transcript.pyannote[3310].start 13170.86721875
transcript.pyannote[3310].end 13172.40284375
transcript.pyannote[3311].speaker SPEAKER_14
transcript.pyannote[3311].start 13172.97659375
transcript.pyannote[3311].end 13173.61784375
transcript.pyannote[3312].speaker SPEAKER_25
transcript.pyannote[3312].start 13173.61784375
transcript.pyannote[3312].end 13179.77721875
transcript.pyannote[3313].speaker SPEAKER_14
transcript.pyannote[3313].start 13174.32659375
transcript.pyannote[3313].end 13174.47846875
transcript.pyannote[3314].speaker SPEAKER_14
transcript.pyannote[3314].start 13178.84909375
transcript.pyannote[3314].end 13182.34221875
transcript.pyannote[3315].speaker SPEAKER_25
transcript.pyannote[3315].start 13182.34221875
transcript.pyannote[3315].end 13183.72596875
transcript.pyannote[3316].speaker SPEAKER_25
transcript.pyannote[3316].start 13184.23221875
transcript.pyannote[3316].end 13186.15596875
transcript.pyannote[3317].speaker SPEAKER_14
transcript.pyannote[3317].start 13185.14346875
transcript.pyannote[3317].end 13186.30784375
transcript.pyannote[3318].speaker SPEAKER_14
transcript.pyannote[3318].start 13186.76346875
transcript.pyannote[3318].end 13187.21909375
transcript.pyannote[3319].speaker SPEAKER_14
transcript.pyannote[3319].start 13187.87721875
transcript.pyannote[3319].end 13194.20534375
transcript.pyannote[3320].speaker SPEAKER_14
transcript.pyannote[3320].start 13194.23909375
transcript.pyannote[3320].end 13201.42784375
transcript.pyannote[3321].speaker SPEAKER_14
transcript.pyannote[3321].start 13201.96784375
transcript.pyannote[3321].end 13202.74409375
transcript.pyannote[3322].speaker SPEAKER_25
transcript.pyannote[3322].start 13203.33471875
transcript.pyannote[3322].end 13207.89096875
transcript.pyannote[3323].speaker SPEAKER_14
transcript.pyannote[3323].start 13203.68909375
transcript.pyannote[3323].end 13204.65096875
transcript.pyannote[3324].speaker SPEAKER_25
transcript.pyannote[3324].start 13208.16096875
transcript.pyannote[3324].end 13210.43909375
transcript.pyannote[3325].speaker SPEAKER_25
transcript.pyannote[3325].start 13210.99596875
transcript.pyannote[3325].end 13211.43471875
transcript.pyannote[3326].speaker SPEAKER_25
transcript.pyannote[3326].start 13211.89034375
transcript.pyannote[3326].end 13213.96596875
transcript.pyannote[3327].speaker SPEAKER_14
transcript.pyannote[3327].start 13212.86909375
transcript.pyannote[3327].end 13215.73784375
transcript.pyannote[3328].speaker SPEAKER_14
transcript.pyannote[3328].start 13216.36221875
transcript.pyannote[3328].end 13221.47534375
transcript.pyannote[3329].speaker SPEAKER_14
transcript.pyannote[3329].start 13223.95596875
transcript.pyannote[3329].end 13225.10346875
transcript.pyannote[3330].speaker SPEAKER_14
transcript.pyannote[3330].start 13226.01471875
transcript.pyannote[3330].end 13226.28471875
transcript.pyannote[3331].speaker SPEAKER_14
transcript.pyannote[3331].start 13226.72346875
transcript.pyannote[3331].end 13227.16221875
transcript.pyannote[3332].speaker SPEAKER_14
transcript.pyannote[3332].start 13227.49971875
transcript.pyannote[3332].end 13229.67659375
transcript.pyannote[3333].speaker SPEAKER_14
transcript.pyannote[3333].start 13230.36846875
transcript.pyannote[3333].end 13233.62534375
transcript.pyannote[3334].speaker SPEAKER_36
transcript.pyannote[3334].start 13230.63846875
transcript.pyannote[3334].end 13230.72284375
transcript.pyannote[3335].speaker SPEAKER_36
transcript.pyannote[3335].start 13230.73971875
transcript.pyannote[3335].end 13230.80721875
transcript.pyannote[3336].speaker SPEAKER_14
transcript.pyannote[3336].start 13234.08096875
transcript.pyannote[3336].end 13234.48596875
transcript.pyannote[3337].speaker SPEAKER_14
transcript.pyannote[3337].start 13235.17784375
transcript.pyannote[3337].end 13237.10159375
transcript.pyannote[3338].speaker SPEAKER_14
transcript.pyannote[3338].start 13237.69221875
transcript.pyannote[3338].end 13242.16409375
transcript.pyannote[3339].speaker SPEAKER_10
transcript.pyannote[3339].start 13242.55221875
transcript.pyannote[3339].end 13245.62346875
transcript.pyannote[3340].speaker SPEAKER_14
transcript.pyannote[3340].start 13244.37471875
transcript.pyannote[3340].end 13244.42534375
transcript.pyannote[3341].speaker SPEAKER_25
transcript.pyannote[3341].start 13244.42534375
transcript.pyannote[3341].end 13244.79659375
transcript.pyannote[3342].speaker SPEAKER_25
transcript.pyannote[3342].start 13245.62346875
transcript.pyannote[3342].end 13251.41159375
transcript.pyannote[3343].speaker SPEAKER_10
transcript.pyannote[3343].start 13248.55971875
transcript.pyannote[3343].end 13248.96471875
transcript.pyannote[3344].speaker SPEAKER_14
transcript.pyannote[3344].start 13248.96471875
transcript.pyannote[3344].end 13249.52159375
transcript.pyannote[3345].speaker SPEAKER_14
transcript.pyannote[3345].start 13250.34846875
transcript.pyannote[3345].end 13257.67221875
transcript.pyannote[3346].speaker SPEAKER_25
transcript.pyannote[3346].start 13251.44534375
transcript.pyannote[3346].end 13251.46221875
transcript.pyannote[3347].speaker SPEAKER_14
transcript.pyannote[3347].start 13257.94221875
transcript.pyannote[3347].end 13261.48596875
transcript.pyannote[3348].speaker SPEAKER_14
transcript.pyannote[3348].start 13261.68846875
transcript.pyannote[3348].end 13261.70534375
transcript.pyannote[3349].speaker SPEAKER_10
transcript.pyannote[3349].start 13261.70534375
transcript.pyannote[3349].end 13261.72221875
transcript.pyannote[3350].speaker SPEAKER_14
transcript.pyannote[3350].start 13261.72221875
transcript.pyannote[3350].end 13261.85721875
transcript.pyannote[3351].speaker SPEAKER_10
transcript.pyannote[3351].start 13261.85721875
transcript.pyannote[3351].end 13261.89096875
transcript.pyannote[3352].speaker SPEAKER_14
transcript.pyannote[3352].start 13261.89096875
transcript.pyannote[3352].end 13261.97534375
transcript.pyannote[3353].speaker SPEAKER_10
transcript.pyannote[3353].start 13261.97534375
transcript.pyannote[3353].end 13262.00909375
transcript.pyannote[3354].speaker SPEAKER_14
transcript.pyannote[3354].start 13262.00909375
transcript.pyannote[3354].end 13262.56596875
transcript.pyannote[3355].speaker SPEAKER_37
transcript.pyannote[3355].start 13262.56596875
transcript.pyannote[3355].end 13262.58284375
transcript.pyannote[3356].speaker SPEAKER_37
transcript.pyannote[3356].start 13262.73471875
transcript.pyannote[3356].end 13262.75159375
transcript.pyannote[3357].speaker SPEAKER_10
transcript.pyannote[3357].start 13262.75159375
transcript.pyannote[3357].end 13262.76846875
transcript.pyannote[3358].speaker SPEAKER_37
transcript.pyannote[3358].start 13262.76846875
transcript.pyannote[3358].end 13263.46034375
transcript.pyannote[3359].speaker SPEAKER_37
transcript.pyannote[3359].start 13263.56159375
transcript.pyannote[3359].end 13274.46284375
transcript.pyannote[3360].speaker SPEAKER_37
transcript.pyannote[3360].start 21633.08909375
transcript.pyannote[3360].end 21635.80596875
transcript.pyannote[3361].speaker SPEAKER_37
transcript.pyannote[3361].start 21635.87346875
transcript.pyannote[3361].end 21643.38284375
transcript.pyannote[3362].speaker SPEAKER_11
transcript.pyannote[3362].start 21653.96346875
transcript.pyannote[3362].end 21657.43971875
transcript.pyannote[3363].speaker SPEAKER_37
transcript.pyannote[3363].start 21657.84471875
transcript.pyannote[3363].end 21659.29596875
transcript.pyannote[3364].speaker SPEAKER_13
transcript.pyannote[3364].start 21668.25659375
transcript.pyannote[3364].end 21669.79221875
transcript.pyannote[3365].speaker SPEAKER_13
transcript.pyannote[3365].start 21670.36596875
transcript.pyannote[3365].end 21672.98159375
transcript.pyannote[3366].speaker SPEAKER_13
transcript.pyannote[3366].start 21673.60596875
transcript.pyannote[3366].end 21674.95596875
transcript.pyannote[3367].speaker SPEAKER_13
transcript.pyannote[3367].start 21675.56346875
transcript.pyannote[3367].end 21678.56721875
transcript.pyannote[3368].speaker SPEAKER_13
transcript.pyannote[3368].start 21678.80346875
transcript.pyannote[3368].end 21682.22909375
transcript.pyannote[3369].speaker SPEAKER_13
transcript.pyannote[3369].start 21682.80284375
transcript.pyannote[3369].end 21684.43971875
transcript.pyannote[3370].speaker SPEAKER_13
transcript.pyannote[3370].start 21684.84471875
transcript.pyannote[3370].end 21686.27909375
transcript.pyannote[3371].speaker SPEAKER_13
transcript.pyannote[3371].start 21687.20721875
transcript.pyannote[3371].end 21688.77659375
transcript.pyannote[3372].speaker SPEAKER_13
transcript.pyannote[3372].start 21689.73846875
transcript.pyannote[3372].end 21691.64534375
transcript.pyannote[3373].speaker SPEAKER_13
transcript.pyannote[3373].start 21692.10096875
transcript.pyannote[3373].end 21694.07534375
transcript.pyannote[3374].speaker SPEAKER_13
transcript.pyannote[3374].start 21694.83471875
transcript.pyannote[3374].end 21695.47596875
transcript.pyannote[3375].speaker SPEAKER_13
transcript.pyannote[3375].start 21696.08346875
transcript.pyannote[3375].end 21696.82596875
transcript.pyannote[3376].speaker SPEAKER_13
transcript.pyannote[3376].start 21697.43346875
transcript.pyannote[3376].end 21699.44159375
transcript.pyannote[3377].speaker SPEAKER_13
transcript.pyannote[3377].start 21700.09971875
transcript.pyannote[3377].end 21701.97284375
transcript.pyannote[3378].speaker SPEAKER_13
transcript.pyannote[3378].start 21702.34409375
transcript.pyannote[3378].end 21703.03596875
transcript.pyannote[3379].speaker SPEAKER_13
transcript.pyannote[3379].start 21703.10346875
transcript.pyannote[3379].end 21703.44096875
transcript.pyannote[3380].speaker SPEAKER_13
transcript.pyannote[3380].start 21703.71096875
transcript.pyannote[3380].end 21704.95971875
transcript.pyannote[3381].speaker SPEAKER_13
transcript.pyannote[3381].start 21705.21284375
transcript.pyannote[3381].end 21706.41096875
transcript.pyannote[3382].speaker SPEAKER_13
transcript.pyannote[3382].start 21707.44034375
transcript.pyannote[3382].end 21708.67221875
transcript.pyannote[3383].speaker SPEAKER_13
transcript.pyannote[3383].start 21708.82409375
transcript.pyannote[3383].end 21710.96721875
transcript.pyannote[3384].speaker SPEAKER_13
transcript.pyannote[3384].start 21711.60846875
transcript.pyannote[3384].end 21712.13159375
transcript.pyannote[3385].speaker SPEAKER_13
transcript.pyannote[3385].start 21712.60409375
transcript.pyannote[3385].end 21715.28721875
transcript.pyannote[3386].speaker SPEAKER_13
transcript.pyannote[3386].start 21716.01284375
transcript.pyannote[3386].end 21717.00846875
transcript.pyannote[3387].speaker SPEAKER_13
transcript.pyannote[3387].start 21718.27409375
transcript.pyannote[3387].end 21720.02909375
transcript.pyannote[3388].speaker SPEAKER_13
transcript.pyannote[3388].start 21720.40034375
transcript.pyannote[3388].end 21720.68721875
transcript.pyannote[3389].speaker SPEAKER_13
transcript.pyannote[3389].start 21721.36221875
transcript.pyannote[3389].end 21725.22659375
transcript.pyannote[3390].speaker SPEAKER_13
transcript.pyannote[3390].start 21726.20534375
transcript.pyannote[3390].end 21729.15846875
transcript.pyannote[3391].speaker SPEAKER_13
transcript.pyannote[3391].start 21729.61409375
transcript.pyannote[3391].end 21736.85346875
transcript.pyannote[3392].speaker SPEAKER_36
transcript.pyannote[3392].start 21734.52471875
transcript.pyannote[3392].end 21734.92971875
transcript.pyannote[3393].speaker SPEAKER_18
transcript.pyannote[3393].start 21737.12346875
transcript.pyannote[3393].end 21737.15721875
transcript.pyannote[3394].speaker SPEAKER_36
transcript.pyannote[3394].start 21737.15721875
transcript.pyannote[3394].end 21737.34284375
transcript.pyannote[3395].speaker SPEAKER_13
transcript.pyannote[3395].start 21737.34284375
transcript.pyannote[3395].end 21738.91221875
transcript.pyannote[3396].speaker SPEAKER_13
transcript.pyannote[3396].start 21739.57034375
transcript.pyannote[3396].end 21740.26221875
transcript.pyannote[3397].speaker SPEAKER_13
transcript.pyannote[3397].start 21740.49846875
transcript.pyannote[3397].end 21744.48096875
transcript.pyannote[3398].speaker SPEAKER_13
transcript.pyannote[3398].start 21744.59909375
transcript.pyannote[3398].end 21752.41221875
transcript.pyannote[3399].speaker SPEAKER_13
transcript.pyannote[3399].start 21752.76659375
transcript.pyannote[3399].end 21756.10784375
transcript.pyannote[3400].speaker SPEAKER_13
transcript.pyannote[3400].start 21756.61409375
transcript.pyannote[3400].end 21758.11596875
transcript.pyannote[3401].speaker SPEAKER_13
transcript.pyannote[3401].start 21758.52096875
transcript.pyannote[3401].end 21760.00596875
transcript.pyannote[3402].speaker SPEAKER_13
transcript.pyannote[3402].start 21760.19159375
transcript.pyannote[3402].end 21761.49096875
transcript.pyannote[3403].speaker SPEAKER_13
transcript.pyannote[3403].start 21762.06471875
transcript.pyannote[3403].end 21762.99284375
transcript.pyannote[3404].speaker SPEAKER_13
transcript.pyannote[3404].start 21763.51596875
transcript.pyannote[3404].end 21764.93346875
transcript.pyannote[3405].speaker SPEAKER_13
transcript.pyannote[3405].start 21765.54096875
transcript.pyannote[3405].end 21766.36784375
transcript.pyannote[3406].speaker SPEAKER_13
transcript.pyannote[3406].start 21766.89096875
transcript.pyannote[3406].end 21767.51534375
transcript.pyannote[3407].speaker SPEAKER_13
transcript.pyannote[3407].start 21767.97096875
transcript.pyannote[3407].end 21769.57409375
transcript.pyannote[3408].speaker SPEAKER_13
transcript.pyannote[3408].start 21769.81034375
transcript.pyannote[3408].end 21772.05471875
transcript.pyannote[3409].speaker SPEAKER_13
transcript.pyannote[3409].start 21772.59471875
transcript.pyannote[3409].end 21776.13846875
transcript.pyannote[3410].speaker SPEAKER_13
transcript.pyannote[3410].start 21776.45909375
transcript.pyannote[3410].end 21778.63596875
transcript.pyannote[3411].speaker SPEAKER_13
transcript.pyannote[3411].start 21779.17596875
transcript.pyannote[3411].end 21780.07034375
transcript.pyannote[3412].speaker SPEAKER_13
transcript.pyannote[3412].start 21781.20096875
transcript.pyannote[3412].end 21782.51721875
transcript.pyannote[3413].speaker SPEAKER_13
transcript.pyannote[3413].start 21783.14159375
transcript.pyannote[3413].end 21784.93034375
transcript.pyannote[3414].speaker SPEAKER_13
transcript.pyannote[3414].start 21786.43221875
transcript.pyannote[3414].end 21787.10721875
transcript.pyannote[3415].speaker SPEAKER_13
transcript.pyannote[3415].start 21787.47846875
transcript.pyannote[3415].end 21787.56284375
transcript.pyannote[3416].speaker SPEAKER_13
transcript.pyannote[3416].start 21788.86221875
transcript.pyannote[3416].end 21789.35159375
transcript.pyannote[3417].speaker SPEAKER_13
transcript.pyannote[3417].start 21789.80721875
transcript.pyannote[3417].end 21793.35096875
transcript.pyannote[3418].speaker SPEAKER_13
transcript.pyannote[3418].start 21793.80659375
transcript.pyannote[3418].end 21795.12284375
transcript.pyannote[3419].speaker SPEAKER_13
transcript.pyannote[3419].start 21796.10159375
transcript.pyannote[3419].end 21797.60346875
transcript.pyannote[3420].speaker SPEAKER_13
transcript.pyannote[3420].start 21798.44721875
transcript.pyannote[3420].end 21800.82659375
transcript.pyannote[3421].speaker SPEAKER_13
transcript.pyannote[3421].start 21800.94471875
transcript.pyannote[3421].end 21802.14284375
transcript.pyannote[3422].speaker SPEAKER_13
transcript.pyannote[3422].start 21803.30721875
transcript.pyannote[3422].end 21805.63596875
transcript.pyannote[3423].speaker SPEAKER_13
transcript.pyannote[3423].start 21806.00721875
transcript.pyannote[3423].end 21807.72846875
transcript.pyannote[3424].speaker SPEAKER_13
transcript.pyannote[3424].start 21808.72409375
transcript.pyannote[3424].end 21811.99784375
transcript.pyannote[3425].speaker SPEAKER_13
transcript.pyannote[3425].start 21812.41971875
transcript.pyannote[3425].end 21812.94284375
transcript.pyannote[3426].speaker SPEAKER_13
transcript.pyannote[3426].start 21813.65159375
transcript.pyannote[3426].end 21814.47846875
transcript.pyannote[3427].speaker SPEAKER_13
transcript.pyannote[3427].start 21815.00159375
transcript.pyannote[3427].end 21816.18284375
transcript.pyannote[3428].speaker SPEAKER_13
transcript.pyannote[3428].start 21816.85784375
transcript.pyannote[3428].end 21822.05534375
transcript.pyannote[3429].speaker SPEAKER_13
transcript.pyannote[3429].start 21822.49409375
transcript.pyannote[3429].end 21822.71346875
transcript.pyannote[3430].speaker SPEAKER_13
transcript.pyannote[3430].start 21823.48971875
transcript.pyannote[3430].end 21825.80159375
transcript.pyannote[3431].speaker SPEAKER_13
transcript.pyannote[3431].start 21826.40909375
transcript.pyannote[3431].end 21828.16409375
transcript.pyannote[3432].speaker SPEAKER_13
transcript.pyannote[3432].start 21828.63659375
transcript.pyannote[3432].end 21829.69971875
transcript.pyannote[3433].speaker SPEAKER_13
transcript.pyannote[3433].start 21831.15096875
transcript.pyannote[3433].end 21832.11284375
transcript.pyannote[3434].speaker SPEAKER_13
transcript.pyannote[3434].start 21832.46721875
transcript.pyannote[3434].end 21835.21784375
transcript.pyannote[3435].speaker SPEAKER_13
transcript.pyannote[3435].start 21835.60596875
transcript.pyannote[3435].end 21836.23034375
transcript.pyannote[3436].speaker SPEAKER_13
transcript.pyannote[3436].start 21836.55096875
transcript.pyannote[3436].end 21839.06534375
transcript.pyannote[3437].speaker SPEAKER_13
transcript.pyannote[3437].start 21839.72346875
transcript.pyannote[3437].end 21841.49534375
transcript.pyannote[3438].speaker SPEAKER_13
transcript.pyannote[3438].start 21841.73159375
transcript.pyannote[3438].end 21842.81159375
transcript.pyannote[3439].speaker SPEAKER_13
transcript.pyannote[3439].start 21843.38534375
transcript.pyannote[3439].end 21844.71846875
transcript.pyannote[3440].speaker SPEAKER_13
transcript.pyannote[3440].start 21845.81534375
transcript.pyannote[3440].end 21846.91221875
transcript.pyannote[3441].speaker SPEAKER_00
transcript.pyannote[3441].start 21846.01784375
transcript.pyannote[3441].end 21846.47346875
transcript.pyannote[3442].speaker SPEAKER_13
transcript.pyannote[3442].start 21847.58721875
transcript.pyannote[3442].end 21848.98784375
transcript.pyannote[3443].speaker SPEAKER_13
transcript.pyannote[3443].start 21849.66284375
transcript.pyannote[3443].end 21852.05909375
transcript.pyannote[3444].speaker SPEAKER_13
transcript.pyannote[3444].start 21852.32909375
transcript.pyannote[3444].end 21854.79284375
transcript.pyannote[3445].speaker SPEAKER_13
transcript.pyannote[3445].start 21854.99534375
transcript.pyannote[3445].end 21857.27346875
transcript.pyannote[3446].speaker SPEAKER_13
transcript.pyannote[3446].start 21857.72909375
transcript.pyannote[3446].end 21859.48409375
transcript.pyannote[3447].speaker SPEAKER_13
transcript.pyannote[3447].start 21859.77096875
transcript.pyannote[3447].end 21860.10846875
transcript.pyannote[3448].speaker SPEAKER_13
transcript.pyannote[3448].start 21860.34471875
transcript.pyannote[3448].end 21862.42034375
transcript.pyannote[3449].speaker SPEAKER_13
transcript.pyannote[3449].start 21862.80846875
transcript.pyannote[3449].end 21863.51721875
transcript.pyannote[3450].speaker SPEAKER_13
transcript.pyannote[3450].start 21864.27659375
transcript.pyannote[3450].end 21866.45346875
transcript.pyannote[3451].speaker SPEAKER_13
transcript.pyannote[3451].start 21866.84159375
transcript.pyannote[3451].end 21867.83721875
transcript.pyannote[3452].speaker SPEAKER_13
transcript.pyannote[3452].start 21868.17471875
transcript.pyannote[3452].end 21868.95096875
transcript.pyannote[3453].speaker SPEAKER_13
transcript.pyannote[3453].start 21869.11971875
transcript.pyannote[3453].end 21869.82846875
transcript.pyannote[3454].speaker SPEAKER_13
transcript.pyannote[3454].start 21871.16159375
transcript.pyannote[3454].end 21872.42721875
transcript.pyannote[3455].speaker SPEAKER_13
transcript.pyannote[3455].start 21873.10221875
transcript.pyannote[3455].end 21875.36346875
transcript.pyannote[3456].speaker SPEAKER_13
transcript.pyannote[3456].start 21875.65034375
transcript.pyannote[3456].end 21876.51096875
transcript.pyannote[3457].speaker SPEAKER_10
transcript.pyannote[3457].start 21876.66284375
transcript.pyannote[3457].end 21877.05096875
transcript.pyannote[3458].speaker SPEAKER_10
transcript.pyannote[3458].start 21877.15221875
transcript.pyannote[3458].end 21879.39659375
transcript.pyannote[3459].speaker SPEAKER_13
transcript.pyannote[3459].start 21881.20221875
transcript.pyannote[3459].end 21881.77596875
transcript.pyannote[3460].speaker SPEAKER_13
transcript.pyannote[3460].start 21882.16409375
transcript.pyannote[3460].end 21883.76721875
transcript.pyannote[3461].speaker SPEAKER_13
transcript.pyannote[3461].start 21884.39159375
transcript.pyannote[3461].end 21887.42909375
transcript.pyannote[3462].speaker SPEAKER_13
transcript.pyannote[3462].start 21888.28971875
transcript.pyannote[3462].end 21893.79096875
transcript.pyannote[3463].speaker SPEAKER_13
transcript.pyannote[3463].start 21894.73596875
transcript.pyannote[3463].end 21897.19971875
transcript.pyannote[3464].speaker SPEAKER_13
transcript.pyannote[3464].start 21897.33471875
transcript.pyannote[3464].end 21902.54909375
transcript.pyannote[3465].speaker SPEAKER_13
transcript.pyannote[3465].start 21903.20721875
transcript.pyannote[3465].end 21905.43471875
transcript.pyannote[3466].speaker SPEAKER_13
transcript.pyannote[3466].start 21905.97471875
transcript.pyannote[3466].end 21906.16034375
transcript.pyannote[3467].speaker SPEAKER_13
transcript.pyannote[3467].start 21906.90284375
transcript.pyannote[3467].end 21907.25721875
transcript.pyannote[3468].speaker SPEAKER_13
transcript.pyannote[3468].start 21907.98284375
transcript.pyannote[3468].end 21908.94471875
transcript.pyannote[3469].speaker SPEAKER_13
transcript.pyannote[3469].start 21910.26096875
transcript.pyannote[3469].end 21913.04534375
transcript.pyannote[3470].speaker SPEAKER_13
transcript.pyannote[3470].start 21913.82159375
transcript.pyannote[3470].end 21914.44596875
transcript.pyannote[3471].speaker SPEAKER_13
transcript.pyannote[3471].start 21914.54721875
transcript.pyannote[3471].end 21915.35721875
transcript.pyannote[3472].speaker SPEAKER_13
transcript.pyannote[3472].start 21915.88034375
transcript.pyannote[3472].end 21917.65221875
transcript.pyannote[3473].speaker SPEAKER_13
transcript.pyannote[3473].start 21917.87159375
transcript.pyannote[3473].end 21918.95159375
transcript.pyannote[3474].speaker SPEAKER_13
transcript.pyannote[3474].start 21919.40721875
transcript.pyannote[3474].end 21923.28846875
transcript.pyannote[3475].speaker SPEAKER_13
transcript.pyannote[3475].start 21923.45721875
transcript.pyannote[3475].end 21924.13221875
transcript.pyannote[3476].speaker SPEAKER_13
transcript.pyannote[3476].start 21924.92534375
transcript.pyannote[3476].end 21926.81534375
transcript.pyannote[3477].speaker SPEAKER_13
transcript.pyannote[3477].start 21927.45659375
transcript.pyannote[3477].end 21928.63784375
transcript.pyannote[3478].speaker SPEAKER_13
transcript.pyannote[3478].start 21929.81909375
transcript.pyannote[3478].end 21931.10159375
transcript.pyannote[3479].speaker SPEAKER_13
transcript.pyannote[3479].start 21931.94534375
transcript.pyannote[3479].end 21932.06346875
transcript.pyannote[3480].speaker SPEAKER_13
transcript.pyannote[3480].start 21932.63721875
transcript.pyannote[3480].end 21933.78471875
transcript.pyannote[3481].speaker SPEAKER_13
transcript.pyannote[3481].start 21934.52721875
transcript.pyannote[3481].end 21937.85159375
transcript.pyannote[3482].speaker SPEAKER_13
transcript.pyannote[3482].start 21938.34096875
transcript.pyannote[3482].end 21938.76284375
transcript.pyannote[3483].speaker SPEAKER_13
transcript.pyannote[3483].start 21939.40409375
transcript.pyannote[3483].end 21940.19721875
transcript.pyannote[3484].speaker SPEAKER_13
transcript.pyannote[3484].start 21940.65284375
transcript.pyannote[3484].end 21944.23034375
transcript.pyannote[3485].speaker SPEAKER_13
transcript.pyannote[3485].start 21945.51284375
transcript.pyannote[3485].end 21947.13284375
transcript.pyannote[3486].speaker SPEAKER_13
transcript.pyannote[3486].start 21947.80784375
transcript.pyannote[3486].end 21948.41534375
transcript.pyannote[3487].speaker SPEAKER_13
transcript.pyannote[3487].start 21948.78659375
transcript.pyannote[3487].end 21950.86221875
transcript.pyannote[3488].speaker SPEAKER_13
transcript.pyannote[3488].start 21951.60471875
transcript.pyannote[3488].end 21952.17846875
transcript.pyannote[3489].speaker SPEAKER_13
transcript.pyannote[3489].start 21952.90409375
transcript.pyannote[3489].end 21955.31721875
transcript.pyannote[3490].speaker SPEAKER_13
transcript.pyannote[3490].start 21956.00909375
transcript.pyannote[3490].end 21957.34221875
transcript.pyannote[3491].speaker SPEAKER_13
transcript.pyannote[3491].start 21957.76409375
transcript.pyannote[3491].end 21958.13534375
transcript.pyannote[3492].speaker SPEAKER_13
transcript.pyannote[3492].start 21958.42221875
transcript.pyannote[3492].end 21958.92846875
transcript.pyannote[3493].speaker SPEAKER_13
transcript.pyannote[3493].start 21959.23221875
transcript.pyannote[3493].end 21960.09284375
transcript.pyannote[3494].speaker SPEAKER_13
transcript.pyannote[3494].start 21960.39659375
transcript.pyannote[3494].end 21960.97034375
transcript.pyannote[3495].speaker SPEAKER_13
transcript.pyannote[3495].start 21962.42159375
transcript.pyannote[3495].end 21963.43409375
transcript.pyannote[3496].speaker SPEAKER_13
transcript.pyannote[3496].start 21964.36221875
transcript.pyannote[3496].end 21966.47159375
transcript.pyannote[3497].speaker SPEAKER_13
transcript.pyannote[3497].start 21967.33221875
transcript.pyannote[3497].end 21969.55971875
transcript.pyannote[3498].speaker SPEAKER_13
transcript.pyannote[3498].start 21969.96471875
transcript.pyannote[3498].end 21970.15034375
transcript.pyannote[3499].speaker SPEAKER_13
transcript.pyannote[3499].start 21970.55534375
transcript.pyannote[3499].end 21971.33159375
transcript.pyannote[3500].speaker SPEAKER_13
transcript.pyannote[3500].start 21971.71971875
transcript.pyannote[3500].end 21974.80784375
transcript.pyannote[3501].speaker SPEAKER_13
transcript.pyannote[3501].start 21975.26346875
transcript.pyannote[3501].end 21976.49534375
transcript.pyannote[3502].speaker SPEAKER_13
transcript.pyannote[3502].start 21976.91721875
transcript.pyannote[3502].end 21978.72284375
transcript.pyannote[3503].speaker SPEAKER_13
transcript.pyannote[3503].start 21979.33034375
transcript.pyannote[3503].end 21980.68034375
transcript.pyannote[3504].speaker SPEAKER_13
transcript.pyannote[3504].start 21981.70971875
transcript.pyannote[3504].end 21984.74721875
transcript.pyannote[3505].speaker SPEAKER_13
transcript.pyannote[3505].start 21986.14784375
transcript.pyannote[3505].end 21987.16034375
transcript.pyannote[3506].speaker SPEAKER_13
transcript.pyannote[3506].start 21987.85221875
transcript.pyannote[3506].end 21988.94909375
transcript.pyannote[3507].speaker SPEAKER_13
transcript.pyannote[3507].start 21989.91096875
transcript.pyannote[3507].end 21990.61971875
transcript.pyannote[3508].speaker SPEAKER_13
transcript.pyannote[3508].start 21991.44659375
transcript.pyannote[3508].end 21992.54346875
transcript.pyannote[3509].speaker SPEAKER_13
transcript.pyannote[3509].start 21993.30284375
transcript.pyannote[3509].end 21994.99034375
transcript.pyannote[3510].speaker SPEAKER_13
transcript.pyannote[3510].start 21995.46284375
transcript.pyannote[3510].end 21996.07034375
transcript.pyannote[3511].speaker SPEAKER_13
transcript.pyannote[3511].start 21996.42471875
transcript.pyannote[3511].end 21997.53846875
transcript.pyannote[3512].speaker SPEAKER_13
transcript.pyannote[3512].start 21998.21346875
transcript.pyannote[3512].end 22000.52534375
transcript.pyannote[3513].speaker SPEAKER_13
transcript.pyannote[3513].start 22000.86284375
transcript.pyannote[3513].end 22002.02721875
transcript.pyannote[3514].speaker SPEAKER_13
transcript.pyannote[3514].start 22002.16221875
transcript.pyannote[3514].end 22003.32659375
transcript.pyannote[3515].speaker SPEAKER_13
transcript.pyannote[3515].start 22004.15346875
transcript.pyannote[3515].end 22007.15721875
transcript.pyannote[3516].speaker SPEAKER_13
transcript.pyannote[3516].start 22007.68034375
transcript.pyannote[3516].end 22008.79409375
transcript.pyannote[3517].speaker SPEAKER_13
transcript.pyannote[3517].start 22010.16096875
transcript.pyannote[3517].end 22011.25784375
transcript.pyannote[3518].speaker SPEAKER_13
transcript.pyannote[3518].start 22012.47284375
transcript.pyannote[3518].end 22012.84409375
transcript.pyannote[3519].speaker SPEAKER_13
transcript.pyannote[3519].start 22013.29971875
transcript.pyannote[3519].end 22014.58221875
transcript.pyannote[3520].speaker SPEAKER_13
transcript.pyannote[3520].start 22015.83096875
transcript.pyannote[3520].end 22018.63221875
transcript.pyannote[3521].speaker SPEAKER_13
transcript.pyannote[3521].start 22019.17221875
transcript.pyannote[3521].end 22020.84284375
transcript.pyannote[3522].speaker SPEAKER_13
transcript.pyannote[3522].start 22021.09596875
transcript.pyannote[3522].end 22023.40784375
transcript.pyannote[3523].speaker SPEAKER_13
transcript.pyannote[3523].start 22023.71159375
transcript.pyannote[3523].end 22024.84221875
transcript.pyannote[3524].speaker SPEAKER_13
transcript.pyannote[3524].start 22025.28096875
transcript.pyannote[3524].end 22028.87534375
transcript.pyannote[3525].speaker SPEAKER_13
transcript.pyannote[3525].start 22029.56721875
transcript.pyannote[3525].end 22030.34346875
transcript.pyannote[3526].speaker SPEAKER_13
transcript.pyannote[3526].start 22030.61346875
transcript.pyannote[3526].end 22031.84534375
transcript.pyannote[3527].speaker SPEAKER_13
transcript.pyannote[3527].start 22032.21659375
transcript.pyannote[3527].end 22034.95034375
transcript.pyannote[3528].speaker SPEAKER_10
transcript.pyannote[3528].start 22034.95034375
transcript.pyannote[3528].end 22034.98409375
transcript.pyannote[3529].speaker SPEAKER_10
transcript.pyannote[3529].start 22035.30471875
transcript.pyannote[3529].end 22043.42159375
transcript.pyannote[3530].speaker SPEAKER_13
transcript.pyannote[3530].start 22035.40596875
transcript.pyannote[3530].end 22036.01346875
transcript.pyannote[3531].speaker SPEAKER_10
transcript.pyannote[3531].start 22043.75909375
transcript.pyannote[3531].end 22046.44221875
transcript.pyannote[3532].speaker SPEAKER_10
transcript.pyannote[3532].start 22046.86409375
transcript.pyannote[3532].end 22048.78784375
transcript.pyannote[3533].speaker SPEAKER_13
transcript.pyannote[3533].start 22048.78784375
transcript.pyannote[3533].end 22048.82159375
transcript.pyannote[3534].speaker SPEAKER_10
transcript.pyannote[3534].start 22049.46284375
transcript.pyannote[3534].end 22053.58034375
transcript.pyannote[3535].speaker SPEAKER_13
transcript.pyannote[3535].start 22053.58034375
transcript.pyannote[3535].end 22054.35659375
transcript.pyannote[3536].speaker SPEAKER_10
transcript.pyannote[3536].start 22053.61409375
transcript.pyannote[3536].end 22054.30596875
transcript.pyannote[3537].speaker SPEAKER_10
transcript.pyannote[3537].start 22054.35659375
transcript.pyannote[3537].end 22056.38159375
transcript.pyannote[3538].speaker SPEAKER_13
transcript.pyannote[3538].start 22055.82471875
transcript.pyannote[3538].end 22057.22534375
transcript.pyannote[3539].speaker SPEAKER_13
transcript.pyannote[3539].start 22057.56284375
transcript.pyannote[3539].end 22057.66409375
transcript.pyannote[3540].speaker SPEAKER_10
transcript.pyannote[3540].start 22057.66409375
transcript.pyannote[3540].end 22057.68096875
transcript.pyannote[3541].speaker SPEAKER_13
transcript.pyannote[3541].start 22057.68096875
transcript.pyannote[3541].end 22058.62596875
transcript.pyannote[3542].speaker SPEAKER_13
transcript.pyannote[3542].start 22059.13221875
transcript.pyannote[3542].end 22060.07721875
transcript.pyannote[3543].speaker SPEAKER_13
transcript.pyannote[3543].start 22060.92096875
transcript.pyannote[3543].end 22062.20346875
transcript.pyannote[3544].speaker SPEAKER_13
transcript.pyannote[3544].start 22062.65909375
transcript.pyannote[3544].end 22066.74284375
transcript.pyannote[3545].speaker SPEAKER_13
transcript.pyannote[3545].start 22067.06346875
transcript.pyannote[3545].end 22069.91534375
transcript.pyannote[3546].speaker SPEAKER_13
transcript.pyannote[3546].start 22070.48909375
transcript.pyannote[3546].end 22070.86034375
transcript.pyannote[3547].speaker SPEAKER_13
transcript.pyannote[3547].start 22071.09659375
transcript.pyannote[3547].end 22071.51846875
transcript.pyannote[3548].speaker SPEAKER_13
transcript.pyannote[3548].start 22072.27784375
transcript.pyannote[3548].end 22074.64034375
transcript.pyannote[3549].speaker SPEAKER_13
transcript.pyannote[3549].start 22075.63596875
transcript.pyannote[3549].end 22075.82159375
transcript.pyannote[3550].speaker SPEAKER_13
transcript.pyannote[3550].start 22076.32784375
transcript.pyannote[3550].end 22078.58909375
transcript.pyannote[3551].speaker SPEAKER_13
transcript.pyannote[3551].start 22079.16284375
transcript.pyannote[3551].end 22081.22159375
transcript.pyannote[3552].speaker SPEAKER_13
transcript.pyannote[3552].start 22081.45784375
transcript.pyannote[3552].end 22082.92596875
transcript.pyannote[3553].speaker SPEAKER_13
transcript.pyannote[3553].start 22083.21284375
transcript.pyannote[3553].end 22085.77784375
transcript.pyannote[3554].speaker SPEAKER_09
transcript.pyannote[3554].start 22083.39846875
transcript.pyannote[3554].end 22083.90471875
transcript.pyannote[3555].speaker SPEAKER_13
transcript.pyannote[3555].start 22085.96346875
transcript.pyannote[3555].end 22088.05596875
transcript.pyannote[3556].speaker SPEAKER_13
transcript.pyannote[3556].start 22088.68034375
transcript.pyannote[3556].end 22090.99221875
transcript.pyannote[3557].speaker SPEAKER_13
transcript.pyannote[3557].start 22091.46471875
transcript.pyannote[3557].end 22092.94971875
transcript.pyannote[3558].speaker SPEAKER_13
transcript.pyannote[3558].start 22093.81034375
transcript.pyannote[3558].end 22095.59909375
transcript.pyannote[3559].speaker SPEAKER_13
transcript.pyannote[3559].start 22096.35846875
transcript.pyannote[3559].end 22097.97846875
transcript.pyannote[3560].speaker SPEAKER_13
transcript.pyannote[3560].start 22098.72096875
transcript.pyannote[3560].end 22101.10034375
transcript.pyannote[3561].speaker SPEAKER_13
transcript.pyannote[3561].start 22101.69096875
transcript.pyannote[3561].end 22102.72034375
transcript.pyannote[3562].speaker SPEAKER_13
transcript.pyannote[3562].start 22103.29409375
transcript.pyannote[3562].end 22111.93409375
transcript.pyannote[3563].speaker SPEAKER_13
transcript.pyannote[3563].start 22113.31784375
transcript.pyannote[3563].end 22113.87471875
transcript.pyannote[3564].speaker SPEAKER_13
transcript.pyannote[3564].start 22113.95909375
transcript.pyannote[3564].end 22117.09784375
transcript.pyannote[3565].speaker SPEAKER_13
transcript.pyannote[3565].start 22117.84034375
transcript.pyannote[3565].end 22125.48471875
transcript.pyannote[3566].speaker SPEAKER_13
transcript.pyannote[3566].start 22126.37909375
transcript.pyannote[3566].end 22127.84721875
transcript.pyannote[3567].speaker SPEAKER_13
transcript.pyannote[3567].start 22128.47159375
transcript.pyannote[3567].end 22129.87221875
transcript.pyannote[3568].speaker SPEAKER_13
transcript.pyannote[3568].start 22131.13784375
transcript.pyannote[3568].end 22132.43721875
transcript.pyannote[3569].speaker SPEAKER_13
transcript.pyannote[3569].start 22133.28096875
transcript.pyannote[3569].end 22136.68971875
transcript.pyannote[3570].speaker SPEAKER_13
transcript.pyannote[3570].start 22137.73596875
transcript.pyannote[3570].end 22139.33909375
transcript.pyannote[3571].speaker SPEAKER_13
transcript.pyannote[3571].start 22140.35159375
transcript.pyannote[3571].end 22142.81534375
transcript.pyannote[3572].speaker SPEAKER_13
transcript.pyannote[3572].start 22143.64221875
transcript.pyannote[3572].end 22146.07221875
transcript.pyannote[3573].speaker SPEAKER_13
transcript.pyannote[3573].start 22147.32096875
transcript.pyannote[3573].end 22148.31659375
transcript.pyannote[3574].speaker SPEAKER_13
transcript.pyannote[3574].start 22148.51909375
transcript.pyannote[3574].end 22150.18971875
transcript.pyannote[3575].speaker SPEAKER_13
transcript.pyannote[3575].start 22150.91534375
transcript.pyannote[3575].end 22152.41721875
transcript.pyannote[3576].speaker SPEAKER_13
transcript.pyannote[3576].start 22152.75471875
transcript.pyannote[3576].end 22153.19346875
transcript.pyannote[3577].speaker SPEAKER_13
transcript.pyannote[3577].start 22153.36221875
transcript.pyannote[3577].end 22154.37471875
transcript.pyannote[3578].speaker SPEAKER_13
transcript.pyannote[3578].start 22155.33659375
transcript.pyannote[3578].end 22156.53471875
transcript.pyannote[3579].speaker SPEAKER_13
transcript.pyannote[3579].start 22157.32784375
transcript.pyannote[3579].end 22157.58096875
transcript.pyannote[3580].speaker SPEAKER_13
transcript.pyannote[3580].start 22158.76221875
transcript.pyannote[3580].end 22159.52159375
transcript.pyannote[3581].speaker SPEAKER_13
transcript.pyannote[3581].start 22159.87596875
transcript.pyannote[3581].end 22160.31471875
transcript.pyannote[3582].speaker SPEAKER_13
transcript.pyannote[3582].start 22160.71971875
transcript.pyannote[3582].end 22163.25096875
transcript.pyannote[3583].speaker SPEAKER_13
transcript.pyannote[3583].start 22163.82471875
transcript.pyannote[3583].end 22167.70596875
transcript.pyannote[3584].speaker SPEAKER_13
transcript.pyannote[3584].start 22169.22471875
transcript.pyannote[3584].end 22170.84471875
transcript.pyannote[3585].speaker SPEAKER_13
transcript.pyannote[3585].start 22171.95846875
transcript.pyannote[3585].end 22172.97096875
transcript.pyannote[3586].speaker SPEAKER_13
transcript.pyannote[3586].start 22173.46034375
transcript.pyannote[3586].end 22175.94096875
transcript.pyannote[3587].speaker SPEAKER_13
transcript.pyannote[3587].start 22176.70034375
transcript.pyannote[3587].end 22178.48909375
transcript.pyannote[3588].speaker SPEAKER_13
transcript.pyannote[3588].start 22178.80971875
transcript.pyannote[3588].end 22179.85596875
transcript.pyannote[3589].speaker SPEAKER_13
transcript.pyannote[3589].start 22180.24409375
transcript.pyannote[3589].end 22184.83409375
transcript.pyannote[3590].speaker SPEAKER_13
transcript.pyannote[3590].start 22184.93534375
transcript.pyannote[3590].end 22187.12909375
transcript.pyannote[3591].speaker SPEAKER_13
transcript.pyannote[3591].start 22187.63534375
transcript.pyannote[3591].end 22189.77846875
transcript.pyannote[3592].speaker SPEAKER_13
transcript.pyannote[3592].start 22189.99784375
transcript.pyannote[3592].end 22191.04409375
transcript.pyannote[3593].speaker SPEAKER_13
transcript.pyannote[3593].start 22191.44909375
transcript.pyannote[3593].end 22195.27971875
transcript.pyannote[3594].speaker SPEAKER_13
transcript.pyannote[3594].start 22195.34721875
transcript.pyannote[3594].end 22196.17409375
transcript.pyannote[3595].speaker SPEAKER_13
transcript.pyannote[3595].start 22196.83221875
transcript.pyannote[3595].end 22197.42284375
transcript.pyannote[3596].speaker SPEAKER_13
transcript.pyannote[3596].start 22197.74346875
transcript.pyannote[3596].end 22200.83159375
transcript.pyannote[3597].speaker SPEAKER_13
transcript.pyannote[3597].start 22201.59096875
transcript.pyannote[3597].end 22202.23221875
transcript.pyannote[3598].speaker SPEAKER_13
transcript.pyannote[3598].start 22202.75534375
transcript.pyannote[3598].end 22203.43034375
transcript.pyannote[3599].speaker SPEAKER_13
transcript.pyannote[3599].start 22203.64971875
transcript.pyannote[3599].end 22204.83096875
transcript.pyannote[3600].speaker SPEAKER_13
transcript.pyannote[3600].start 22205.20221875
transcript.pyannote[3600].end 22207.21034375
transcript.pyannote[3601].speaker SPEAKER_13
transcript.pyannote[3601].start 22207.76721875
transcript.pyannote[3601].end 22208.96534375
transcript.pyannote[3602].speaker SPEAKER_13
transcript.pyannote[3602].start 22209.28596875
transcript.pyannote[3602].end 22210.04534375
transcript.pyannote[3603].speaker SPEAKER_13
transcript.pyannote[3603].start 22210.26471875
transcript.pyannote[3603].end 22211.22659375
transcript.pyannote[3604].speaker SPEAKER_13
transcript.pyannote[3604].start 22211.71596875
transcript.pyannote[3604].end 22212.45846875
transcript.pyannote[3605].speaker SPEAKER_13
transcript.pyannote[3605].start 22212.49221875
transcript.pyannote[3605].end 22213.23471875
transcript.pyannote[3606].speaker SPEAKER_13
transcript.pyannote[3606].start 22213.60596875
transcript.pyannote[3606].end 22214.36534375
transcript.pyannote[3607].speaker SPEAKER_13
transcript.pyannote[3607].start 22215.29346875
transcript.pyannote[3607].end 22215.93471875
transcript.pyannote[3608].speaker SPEAKER_13
transcript.pyannote[3608].start 22216.55909375
transcript.pyannote[3608].end 22217.31846875
transcript.pyannote[3609].speaker SPEAKER_13
transcript.pyannote[3609].start 22218.11159375
transcript.pyannote[3609].end 22219.68096875
transcript.pyannote[3610].speaker SPEAKER_13
transcript.pyannote[3610].start 22219.91721875
transcript.pyannote[3610].end 22220.47409375
transcript.pyannote[3611].speaker SPEAKER_10
transcript.pyannote[3611].start 22221.87471875
transcript.pyannote[3611].end 22225.97534375
transcript.pyannote[3612].speaker SPEAKER_10
transcript.pyannote[3612].start 22226.14409375
transcript.pyannote[3612].end 22226.71784375
transcript.pyannote[3613].speaker SPEAKER_10
transcript.pyannote[3613].start 22227.40971875
transcript.pyannote[3613].end 22228.43909375
transcript.pyannote[3614].speaker SPEAKER_10
transcript.pyannote[3614].start 22229.18159375
transcript.pyannote[3614].end 22229.56971875
transcript.pyannote[3615].speaker SPEAKER_10
transcript.pyannote[3615].start 22230.46409375
transcript.pyannote[3615].end 22233.18096875
transcript.pyannote[3616].speaker SPEAKER_10
transcript.pyannote[3616].start 22233.82221875
transcript.pyannote[3616].end 22234.54784375
transcript.pyannote[3617].speaker SPEAKER_10
transcript.pyannote[3617].start 22235.30721875
transcript.pyannote[3617].end 22238.61471875
transcript.pyannote[3618].speaker SPEAKER_10
transcript.pyannote[3618].start 22239.64409375
transcript.pyannote[3618].end 22244.09909375
transcript.pyannote[3619].speaker SPEAKER_10
transcript.pyannote[3619].start 22244.58846875
transcript.pyannote[3619].end 22245.12846875
transcript.pyannote[3620].speaker SPEAKER_10
transcript.pyannote[3620].start 22245.43221875
transcript.pyannote[3620].end 22249.81971875
transcript.pyannote[3621].speaker SPEAKER_10
transcript.pyannote[3621].start 22249.97159375
transcript.pyannote[3621].end 22251.67596875
transcript.pyannote[3622].speaker SPEAKER_10
transcript.pyannote[3622].start 22252.31721875
transcript.pyannote[3622].end 22254.44346875
transcript.pyannote[3623].speaker SPEAKER_13
transcript.pyannote[3623].start 22253.22846875
transcript.pyannote[3623].end 22253.70096875
transcript.pyannote[3624].speaker SPEAKER_13
transcript.pyannote[3624].start 22253.88659375
transcript.pyannote[3624].end 22254.47721875
transcript.pyannote[3625].speaker SPEAKER_10
transcript.pyannote[3625].start 22254.47721875
transcript.pyannote[3625].end 22255.03409375
transcript.pyannote[3626].speaker SPEAKER_13
transcript.pyannote[3626].start 22255.03409375
transcript.pyannote[3626].end 22260.06284375
transcript.pyannote[3627].speaker SPEAKER_13
transcript.pyannote[3627].start 22260.51846875
transcript.pyannote[3627].end 22262.89784375
transcript.pyannote[3628].speaker SPEAKER_13
transcript.pyannote[3628].start 22263.18471875
transcript.pyannote[3628].end 22266.01971875
transcript.pyannote[3629].speaker SPEAKER_11
transcript.pyannote[3629].start 22266.28971875
transcript.pyannote[3629].end 22266.57659375
transcript.pyannote[3630].speaker SPEAKER_13
transcript.pyannote[3630].start 22267.09971875
transcript.pyannote[3630].end 22269.27659375
transcript.pyannote[3631].speaker SPEAKER_13
transcript.pyannote[3631].start 22269.79971875
transcript.pyannote[3631].end 22270.32284375
transcript.pyannote[3632].speaker SPEAKER_13
transcript.pyannote[3632].start 22270.64346875
transcript.pyannote[3632].end 22274.59221875
transcript.pyannote[3633].speaker SPEAKER_13
transcript.pyannote[3633].start 22275.04784375
transcript.pyannote[3633].end 22277.10659375
transcript.pyannote[3634].speaker SPEAKER_13
transcript.pyannote[3634].start 22277.68034375
transcript.pyannote[3634].end 22278.86159375
transcript.pyannote[3635].speaker SPEAKER_13
transcript.pyannote[3635].start 22278.99659375
transcript.pyannote[3635].end 22280.22846875
transcript.pyannote[3636].speaker SPEAKER_13
transcript.pyannote[3636].start 22281.19034375
transcript.pyannote[3636].end 22282.23659375
transcript.pyannote[3637].speaker SPEAKER_13
transcript.pyannote[3637].start 22282.69221875
transcript.pyannote[3637].end 22284.68346875
transcript.pyannote[3638].speaker SPEAKER_13
transcript.pyannote[3638].start 22285.99971875
transcript.pyannote[3638].end 22286.50596875
transcript.pyannote[3639].speaker SPEAKER_13
transcript.pyannote[3639].start 22286.94471875
transcript.pyannote[3639].end 22287.67034375
transcript.pyannote[3640].speaker SPEAKER_13
transcript.pyannote[3640].start 22288.24409375
transcript.pyannote[3640].end 22289.22284375
transcript.pyannote[3641].speaker SPEAKER_13
transcript.pyannote[3641].start 22289.81346875
transcript.pyannote[3641].end 22291.56846875
transcript.pyannote[3642].speaker SPEAKER_13
transcript.pyannote[3642].start 22292.14221875
transcript.pyannote[3642].end 22293.76221875
transcript.pyannote[3643].speaker SPEAKER_13
transcript.pyannote[3643].start 22294.11659375
transcript.pyannote[3643].end 22295.28096875
transcript.pyannote[3644].speaker SPEAKER_13
transcript.pyannote[3644].start 22295.50034375
transcript.pyannote[3644].end 22300.52909375
transcript.pyannote[3645].speaker SPEAKER_13
transcript.pyannote[3645].start 22301.01846875
transcript.pyannote[3645].end 22303.29659375
transcript.pyannote[3646].speaker SPEAKER_13
transcript.pyannote[3646].start 22303.93784375
transcript.pyannote[3646].end 22305.08534375
transcript.pyannote[3647].speaker SPEAKER_13
transcript.pyannote[3647].start 22305.35534375
transcript.pyannote[3647].end 22305.65909375
transcript.pyannote[3648].speaker SPEAKER_13
transcript.pyannote[3648].start 22306.43534375
transcript.pyannote[3648].end 22307.21159375
transcript.pyannote[3649].speaker SPEAKER_13
transcript.pyannote[3649].start 22307.85284375
transcript.pyannote[3649].end 22308.91596875
transcript.pyannote[3650].speaker SPEAKER_13
transcript.pyannote[3650].start 22310.09721875
transcript.pyannote[3650].end 22310.83971875
transcript.pyannote[3651].speaker SPEAKER_13
transcript.pyannote[3651].start 22311.64971875
transcript.pyannote[3651].end 22314.04596875
transcript.pyannote[3652].speaker SPEAKER_13
transcript.pyannote[3652].start 22314.55221875
transcript.pyannote[3652].end 22317.21846875
transcript.pyannote[3653].speaker SPEAKER_13
transcript.pyannote[3653].start 22317.64034375
transcript.pyannote[3653].end 22317.96096875
transcript.pyannote[3654].speaker SPEAKER_13
transcript.pyannote[3654].start 22318.33221875
transcript.pyannote[3654].end 22319.34471875
transcript.pyannote[3655].speaker SPEAKER_13
transcript.pyannote[3655].start 22319.86784375
transcript.pyannote[3655].end 22321.87596875
transcript.pyannote[3656].speaker SPEAKER_13
transcript.pyannote[3656].start 22322.16284375
transcript.pyannote[3656].end 22323.09096875
transcript.pyannote[3657].speaker SPEAKER_13
transcript.pyannote[3657].start 22323.44534375
transcript.pyannote[3657].end 22324.47471875
transcript.pyannote[3658].speaker SPEAKER_13
transcript.pyannote[3658].start 22325.25096875
transcript.pyannote[3658].end 22326.97221875
transcript.pyannote[3659].speaker SPEAKER_13
transcript.pyannote[3659].start 22327.46159375
transcript.pyannote[3659].end 22328.49096875
transcript.pyannote[3660].speaker SPEAKER_13
transcript.pyannote[3660].start 22329.57096875
transcript.pyannote[3660].end 22331.69721875
transcript.pyannote[3661].speaker SPEAKER_13
transcript.pyannote[3661].start 22332.11909375
transcript.pyannote[3661].end 22333.43534375
transcript.pyannote[3662].speaker SPEAKER_13
transcript.pyannote[3662].start 22333.60409375
transcript.pyannote[3662].end 22334.70096875
transcript.pyannote[3663].speaker SPEAKER_13
transcript.pyannote[3663].start 22335.19034375
transcript.pyannote[3663].end 22337.09721875
transcript.pyannote[3664].speaker SPEAKER_26
transcript.pyannote[3664].start 22336.40534375
transcript.pyannote[3664].end 22337.06346875
transcript.pyannote[3665].speaker SPEAKER_26
transcript.pyannote[3665].start 22337.09721875
transcript.pyannote[3665].end 22337.21534375
transcript.pyannote[3666].speaker SPEAKER_13
transcript.pyannote[3666].start 22337.21534375
transcript.pyannote[3666].end 22337.23221875
transcript.pyannote[3667].speaker SPEAKER_26
transcript.pyannote[3667].start 22337.23221875
transcript.pyannote[3667].end 22337.24909375
transcript.pyannote[3668].speaker SPEAKER_13
transcript.pyannote[3668].start 22337.24909375
transcript.pyannote[3668].end 22337.28284375
transcript.pyannote[3669].speaker SPEAKER_26
transcript.pyannote[3669].start 22337.28284375
transcript.pyannote[3669].end 22337.31659375
transcript.pyannote[3670].speaker SPEAKER_13
transcript.pyannote[3670].start 22337.31659375
transcript.pyannote[3670].end 22337.40096875
transcript.pyannote[3671].speaker SPEAKER_13
transcript.pyannote[3671].start 22337.43471875
transcript.pyannote[3671].end 22337.53596875
transcript.pyannote[3672].speaker SPEAKER_26
transcript.pyannote[3672].start 22337.53596875
transcript.pyannote[3672].end 22341.04596875
transcript.pyannote[3673].speaker SPEAKER_26
transcript.pyannote[3673].start 22341.21471875
transcript.pyannote[3673].end 22341.92346875
transcript.pyannote[3674].speaker SPEAKER_26
transcript.pyannote[3674].start 22342.37909375
transcript.pyannote[3674].end 22343.15534375
transcript.pyannote[3675].speaker SPEAKER_26
transcript.pyannote[3675].start 22343.59409375
transcript.pyannote[3675].end 22347.08721875
transcript.pyannote[3676].speaker SPEAKER_26
transcript.pyannote[3676].start 22347.54284375
transcript.pyannote[3676].end 22355.27159375
transcript.pyannote[3677].speaker SPEAKER_26
transcript.pyannote[3677].start 22355.55846875
transcript.pyannote[3677].end 22361.14409375
transcript.pyannote[3678].speaker SPEAKER_11
transcript.pyannote[3678].start 22357.36409375
transcript.pyannote[3678].end 22358.93346875
transcript.pyannote[3679].speaker SPEAKER_11
transcript.pyannote[3679].start 22360.41846875
transcript.pyannote[3679].end 22361.59971875
transcript.pyannote[3680].speaker SPEAKER_26
transcript.pyannote[3680].start 22361.71784375
transcript.pyannote[3680].end 22363.81034375
transcript.pyannote[3681].speaker SPEAKER_26
transcript.pyannote[3681].start 22364.11409375
transcript.pyannote[3681].end 22373.66534375
transcript.pyannote[3682].speaker SPEAKER_13
transcript.pyannote[3682].start 22368.70409375
transcript.pyannote[3682].end 22370.00346875
transcript.pyannote[3683].speaker SPEAKER_13
transcript.pyannote[3683].start 22372.85534375
transcript.pyannote[3683].end 22376.23034375
transcript.pyannote[3684].speaker SPEAKER_26
transcript.pyannote[3684].start 22376.23034375
transcript.pyannote[3684].end 22379.47034375
transcript.pyannote[3685].speaker SPEAKER_13
transcript.pyannote[3685].start 22379.92596875
transcript.pyannote[3685].end 22386.42284375
transcript.pyannote[3686].speaker SPEAKER_13
transcript.pyannote[3686].start 22386.91221875
transcript.pyannote[3686].end 22386.92909375
transcript.pyannote[3687].speaker SPEAKER_26
transcript.pyannote[3687].start 22386.92909375
transcript.pyannote[3687].end 22386.96284375
transcript.pyannote[3688].speaker SPEAKER_13
transcript.pyannote[3688].start 22386.96284375
transcript.pyannote[3688].end 22386.97971875
transcript.pyannote[3689].speaker SPEAKER_26
transcript.pyannote[3689].start 22386.97971875
transcript.pyannote[3689].end 22388.66721875
transcript.pyannote[3690].speaker SPEAKER_13
transcript.pyannote[3690].start 22386.99659375
transcript.pyannote[3690].end 22387.26659375
transcript.pyannote[3691].speaker SPEAKER_26
transcript.pyannote[3691].start 22389.00471875
transcript.pyannote[3691].end 22395.51846875
transcript.pyannote[3692].speaker SPEAKER_13
transcript.pyannote[3692].start 22389.19034375
transcript.pyannote[3692].end 22389.51096875
transcript.pyannote[3693].speaker SPEAKER_13
transcript.pyannote[3693].start 22393.35846875
transcript.pyannote[3693].end 22396.64909375
transcript.pyannote[3694].speaker SPEAKER_13
transcript.pyannote[3694].start 22397.79659375
transcript.pyannote[3694].end 22399.28159375
transcript.pyannote[3695].speaker SPEAKER_13
transcript.pyannote[3695].start 22399.58534375
transcript.pyannote[3695].end 22402.75784375
transcript.pyannote[3696].speaker SPEAKER_26
transcript.pyannote[3696].start 22400.98596875
transcript.pyannote[3696].end 22407.02721875
transcript.pyannote[3697].speaker SPEAKER_13
transcript.pyannote[3697].start 22404.52971875
transcript.pyannote[3697].end 22404.73221875
transcript.pyannote[3698].speaker SPEAKER_13
transcript.pyannote[3698].start 22407.02721875
transcript.pyannote[3698].end 22407.19596875
transcript.pyannote[3699].speaker SPEAKER_26
transcript.pyannote[3699].start 22407.19596875
transcript.pyannote[3699].end 22407.21284375
transcript.pyannote[3700].speaker SPEAKER_13
transcript.pyannote[3700].start 22407.28034375
transcript.pyannote[3700].end 22410.04784375
transcript.pyannote[3701].speaker SPEAKER_13
transcript.pyannote[3701].start 22410.11534375
transcript.pyannote[3701].end 22413.65909375
transcript.pyannote[3702].speaker SPEAKER_09
transcript.pyannote[3702].start 22412.93346875
transcript.pyannote[3702].end 22413.13596875
transcript.pyannote[3703].speaker SPEAKER_13
transcript.pyannote[3703].start 22414.18221875
transcript.pyannote[3703].end 22419.64971875
transcript.pyannote[3704].speaker SPEAKER_13
transcript.pyannote[3704].start 22420.81409375
transcript.pyannote[3704].end 22423.22721875
transcript.pyannote[3705].speaker SPEAKER_13
transcript.pyannote[3705].start 22423.93596875
transcript.pyannote[3705].end 22425.58971875
transcript.pyannote[3706].speaker SPEAKER_13
transcript.pyannote[3706].start 22425.97784375
transcript.pyannote[3706].end 22429.38659375
transcript.pyannote[3707].speaker SPEAKER_13
transcript.pyannote[3707].start 22429.90971875
transcript.pyannote[3707].end 22430.68596875
transcript.pyannote[3708].speaker SPEAKER_13
transcript.pyannote[3708].start 22431.29346875
transcript.pyannote[3708].end 22433.50409375
transcript.pyannote[3709].speaker SPEAKER_13
transcript.pyannote[3709].start 22433.58846875
transcript.pyannote[3709].end 22435.09034375
transcript.pyannote[3710].speaker SPEAKER_13
transcript.pyannote[3710].start 22435.71471875
transcript.pyannote[3710].end 22437.89159375
transcript.pyannote[3711].speaker SPEAKER_13
transcript.pyannote[3711].start 22438.88721875
transcript.pyannote[3711].end 22439.84909375
transcript.pyannote[3712].speaker SPEAKER_13
transcript.pyannote[3712].start 22440.11909375
transcript.pyannote[3712].end 22440.27096875
transcript.pyannote[3713].speaker SPEAKER_13
transcript.pyannote[3713].start 22440.79409375
transcript.pyannote[3713].end 22442.80221875
transcript.pyannote[3714].speaker SPEAKER_36
transcript.pyannote[3714].start 22440.91221875
transcript.pyannote[3714].end 22441.31721875
transcript.pyannote[3715].speaker SPEAKER_13
transcript.pyannote[3715].start 22443.12284375
transcript.pyannote[3715].end 22444.23659375
transcript.pyannote[3716].speaker SPEAKER_13
transcript.pyannote[3716].start 22444.60784375
transcript.pyannote[3716].end 22446.04221875
transcript.pyannote[3717].speaker SPEAKER_13
transcript.pyannote[3717].start 22446.70034375
transcript.pyannote[3717].end 22446.93659375
transcript.pyannote[3718].speaker SPEAKER_13
transcript.pyannote[3718].start 22447.08846875
transcript.pyannote[3718].end 22448.50596875
transcript.pyannote[3719].speaker SPEAKER_13
transcript.pyannote[3719].start 22448.92784375
transcript.pyannote[3719].end 22450.90221875
transcript.pyannote[3720].speaker SPEAKER_13
transcript.pyannote[3720].start 22451.67846875
transcript.pyannote[3720].end 22453.66971875
transcript.pyannote[3721].speaker SPEAKER_13
transcript.pyannote[3721].start 22453.73721875
transcript.pyannote[3721].end 22454.42909375
transcript.pyannote[3722].speaker SPEAKER_13
transcript.pyannote[3722].start 22454.59784375
transcript.pyannote[3722].end 22456.26846875
transcript.pyannote[3723].speaker SPEAKER_13
transcript.pyannote[3723].start 22457.12909375
transcript.pyannote[3723].end 22459.10346875
transcript.pyannote[3724].speaker SPEAKER_13
transcript.pyannote[3724].start 22459.47471875
transcript.pyannote[3724].end 22461.24659375
transcript.pyannote[3725].speaker SPEAKER_13
transcript.pyannote[3725].start 22462.37721875
transcript.pyannote[3725].end 22463.76096875
transcript.pyannote[3726].speaker SPEAKER_13
transcript.pyannote[3726].start 22464.13221875
transcript.pyannote[3726].end 22467.74346875
transcript.pyannote[3727].speaker SPEAKER_36
transcript.pyannote[3727].start 22467.82784375
transcript.pyannote[3727].end 22468.14846875
transcript.pyannote[3728].speaker SPEAKER_13
transcript.pyannote[3728].start 22468.51971875
transcript.pyannote[3728].end 22469.26221875
transcript.pyannote[3729].speaker SPEAKER_13
transcript.pyannote[3729].start 22469.51534375
transcript.pyannote[3729].end 22470.66284375
transcript.pyannote[3730].speaker SPEAKER_13
transcript.pyannote[3730].start 22470.93284375
transcript.pyannote[3730].end 22472.13096875
transcript.pyannote[3731].speaker SPEAKER_13
transcript.pyannote[3731].start 22472.63721875
transcript.pyannote[3731].end 22476.31596875
transcript.pyannote[3732].speaker SPEAKER_13
transcript.pyannote[3732].start 22476.45096875
transcript.pyannote[3732].end 22477.63221875
transcript.pyannote[3733].speaker SPEAKER_13
transcript.pyannote[3733].start 22477.88534375
transcript.pyannote[3733].end 22480.58534375
transcript.pyannote[3734].speaker SPEAKER_13
transcript.pyannote[3734].start 22481.53034375
transcript.pyannote[3734].end 22482.23909375
transcript.pyannote[3735].speaker SPEAKER_13
transcript.pyannote[3735].start 22483.38659375
transcript.pyannote[3735].end 22485.19221875
transcript.pyannote[3736].speaker SPEAKER_13
transcript.pyannote[3736].start 22485.68159375
transcript.pyannote[3736].end 22486.59284375
transcript.pyannote[3737].speaker SPEAKER_13
transcript.pyannote[3737].start 22487.14971875
transcript.pyannote[3737].end 22487.90909375
transcript.pyannote[3738].speaker SPEAKER_13
transcript.pyannote[3738].start 22488.24659375
transcript.pyannote[3738].end 22489.02284375
transcript.pyannote[3739].speaker SPEAKER_13
transcript.pyannote[3739].start 22489.03971875
transcript.pyannote[3739].end 22490.17034375
transcript.pyannote[3740].speaker SPEAKER_13
transcript.pyannote[3740].start 22490.49096875
transcript.pyannote[3740].end 22492.98846875
transcript.pyannote[3741].speaker SPEAKER_13
transcript.pyannote[3741].start 22493.61284375
transcript.pyannote[3741].end 22495.75596875
transcript.pyannote[3742].speaker SPEAKER_13
transcript.pyannote[3742].start 22496.43096875
transcript.pyannote[3742].end 22498.48971875
transcript.pyannote[3743].speaker SPEAKER_13
transcript.pyannote[3743].start 22499.01284375
transcript.pyannote[3743].end 22499.87346875
transcript.pyannote[3744].speaker SPEAKER_13
transcript.pyannote[3744].start 22500.16034375
transcript.pyannote[3744].end 22501.34159375
transcript.pyannote[3745].speaker SPEAKER_13
transcript.pyannote[3745].start 22501.71284375
transcript.pyannote[3745].end 22503.11346875
transcript.pyannote[3746].speaker SPEAKER_13
transcript.pyannote[3746].start 22503.94034375
transcript.pyannote[3746].end 22504.69971875
transcript.pyannote[3747].speaker SPEAKER_13
transcript.pyannote[3747].start 22504.91909375
transcript.pyannote[3747].end 22506.55596875
transcript.pyannote[3748].speaker SPEAKER_13
transcript.pyannote[3748].start 22506.87659375
transcript.pyannote[3748].end 22508.66534375
transcript.pyannote[3749].speaker SPEAKER_13
transcript.pyannote[3749].start 22509.13784375
transcript.pyannote[3749].end 22510.08284375
transcript.pyannote[3750].speaker SPEAKER_13
transcript.pyannote[3750].start 22510.43721875
transcript.pyannote[3750].end 22511.23034375
transcript.pyannote[3751].speaker SPEAKER_13
transcript.pyannote[3751].start 22511.28096875
transcript.pyannote[3751].end 22515.41534375
transcript.pyannote[3752].speaker SPEAKER_13
transcript.pyannote[3752].start 22515.98909375
transcript.pyannote[3752].end 22517.22096875
transcript.pyannote[3753].speaker SPEAKER_13
transcript.pyannote[3753].start 22517.55846875
transcript.pyannote[3753].end 22518.01409375
transcript.pyannote[3754].speaker SPEAKER_13
transcript.pyannote[3754].start 22518.31784375
transcript.pyannote[3754].end 22521.49034375
transcript.pyannote[3755].speaker SPEAKER_13
transcript.pyannote[3755].start 22522.28346875
transcript.pyannote[3755].end 22529.21909375
transcript.pyannote[3756].speaker SPEAKER_10
transcript.pyannote[3756].start 22527.49784375
transcript.pyannote[3756].end 22537.04909375
transcript.pyannote[3757].speaker SPEAKER_13
transcript.pyannote[3757].start 22537.04909375
transcript.pyannote[3757].end 22537.08284375
transcript.pyannote[3758].speaker SPEAKER_10
transcript.pyannote[3758].start 22537.42034375
transcript.pyannote[3758].end 22537.45409375
transcript.pyannote[3759].speaker SPEAKER_13
transcript.pyannote[3759].start 22537.45409375
transcript.pyannote[3759].end 22539.71534375
transcript.pyannote[3760].speaker SPEAKER_13
transcript.pyannote[3760].start 22540.15409375
transcript.pyannote[3760].end 22540.87971875
transcript.pyannote[3761].speaker SPEAKER_13
transcript.pyannote[3761].start 22541.47034375
transcript.pyannote[3761].end 22546.27971875
transcript.pyannote[3762].speaker SPEAKER_13
transcript.pyannote[3762].start 22546.83659375
transcript.pyannote[3762].end 22548.84471875
transcript.pyannote[3763].speaker SPEAKER_13
transcript.pyannote[3763].start 22549.40159375
transcript.pyannote[3763].end 22552.32096875
transcript.pyannote[3764].speaker SPEAKER_13
transcript.pyannote[3764].start 22552.64159375
transcript.pyannote[3764].end 22553.85659375
transcript.pyannote[3765].speaker SPEAKER_13
transcript.pyannote[3765].start 22554.29534375
transcript.pyannote[3765].end 22556.99534375
transcript.pyannote[3766].speaker SPEAKER_13
transcript.pyannote[3766].start 22557.48471875
transcript.pyannote[3766].end 22562.05784375
transcript.pyannote[3767].speaker SPEAKER_13
transcript.pyannote[3767].start 22562.56409375
transcript.pyannote[3767].end 22563.89721875
transcript.pyannote[3768].speaker SPEAKER_13
transcript.pyannote[3768].start 22564.28534375
transcript.pyannote[3768].end 22572.53721875
transcript.pyannote[3769].speaker SPEAKER_37
transcript.pyannote[3769].start 22585.39596875
transcript.pyannote[3769].end 22590.47534375
transcript.pyannote[3770].speaker SPEAKER_37
transcript.pyannote[3770].start 22592.34846875
transcript.pyannote[3770].end 22595.60534375
transcript.pyannote[3771].speaker SPEAKER_37
transcript.pyannote[3771].start 22596.24659375
transcript.pyannote[3771].end 22597.52909375
transcript.pyannote[3772].speaker SPEAKER_37
transcript.pyannote[3772].start 22598.77784375
transcript.pyannote[3772].end 22601.34284375
transcript.pyannote[3773].speaker SPEAKER_37
transcript.pyannote[3773].start 22601.61284375
transcript.pyannote[3773].end 22604.44784375
transcript.pyannote[3774].speaker SPEAKER_37
transcript.pyannote[3774].start 22604.83596875
transcript.pyannote[3774].end 22605.42659375
transcript.pyannote[3775].speaker SPEAKER_37
transcript.pyannote[3775].start 22605.93284375
transcript.pyannote[3775].end 22608.46409375
transcript.pyannote[3776].speaker SPEAKER_37
transcript.pyannote[3776].start 22609.98284375
transcript.pyannote[3776].end 22611.26534375
transcript.pyannote[3777].speaker SPEAKER_37
transcript.pyannote[3777].start 22611.60284375
transcript.pyannote[3777].end 22613.54346875
transcript.pyannote[3778].speaker SPEAKER_37
transcript.pyannote[3778].start 22614.38721875
transcript.pyannote[3778].end 22615.66971875
transcript.pyannote[3779].speaker SPEAKER_37
transcript.pyannote[3779].start 22616.17596875
transcript.pyannote[3779].end 22617.23909375
transcript.pyannote[3780].speaker SPEAKER_37
transcript.pyannote[3780].start 22618.36971875
transcript.pyannote[3780].end 22620.95159375
transcript.pyannote[3781].speaker SPEAKER_37
transcript.pyannote[3781].start 22622.14971875
transcript.pyannote[3781].end 22623.87096875
transcript.pyannote[3782].speaker SPEAKER_37
transcript.pyannote[3782].start 22624.29284375
transcript.pyannote[3782].end 22625.13659375
transcript.pyannote[3783].speaker SPEAKER_37
transcript.pyannote[3783].start 22626.21659375
transcript.pyannote[3783].end 22627.21221875
transcript.pyannote[3784].speaker SPEAKER_37
transcript.pyannote[3784].start 22628.22471875
transcript.pyannote[3784].end 22629.57471875
transcript.pyannote[3785].speaker SPEAKER_37
transcript.pyannote[3785].start 22630.65471875
transcript.pyannote[3785].end 22631.92034375
transcript.pyannote[3786].speaker SPEAKER_37
transcript.pyannote[3786].start 22632.86534375
transcript.pyannote[3786].end 22635.56534375
transcript.pyannote[3787].speaker SPEAKER_37
transcript.pyannote[3787].start 22636.20659375
transcript.pyannote[3787].end 22637.82659375
transcript.pyannote[3788].speaker SPEAKER_37
transcript.pyannote[3788].start 22637.84346875
transcript.pyannote[3788].end 22638.51846875
transcript.pyannote[3789].speaker SPEAKER_37
transcript.pyannote[3789].start 22638.99096875
transcript.pyannote[3789].end 22639.98659375
transcript.pyannote[3790].speaker SPEAKER_37
transcript.pyannote[3790].start 23277.06846875
transcript.pyannote[3790].end 23284.89846875
transcript.pyannote[3791].speaker SPEAKER_37
transcript.pyannote[3791].start 23285.75909375
transcript.pyannote[3791].end 23290.60221875
transcript.pyannote[3792].speaker SPEAKER_37
transcript.pyannote[3792].start 23290.83846875
transcript.pyannote[3792].end 23292.61034375
transcript.pyannote[3793].speaker SPEAKER_37
transcript.pyannote[3793].start 23295.24284375
transcript.pyannote[3793].end 23299.44471875
transcript.pyannote[3794].speaker SPEAKER_12
transcript.pyannote[3794].start 23305.03034375
transcript.pyannote[3794].end 23307.19034375
transcript.pyannote[3795].speaker SPEAKER_37
transcript.pyannote[3795].start 23307.79784375
transcript.pyannote[3795].end 23309.08034375
transcript.pyannote[3796].speaker SPEAKER_10
transcript.pyannote[3796].start 23318.69909375
transcript.pyannote[3796].end 23319.34034375
transcript.pyannote[3797].speaker SPEAKER_12
transcript.pyannote[3797].start 23319.72846875
transcript.pyannote[3797].end 23323.25534375
transcript.pyannote[3798].speaker SPEAKER_10
transcript.pyannote[3798].start 23323.00221875
transcript.pyannote[3798].end 23324.11596875
transcript.pyannote[3799].speaker SPEAKER_12
transcript.pyannote[3799].start 23323.89659375
transcript.pyannote[3799].end 23347.11659375
transcript.pyannote[3800].speaker SPEAKER_00
transcript.pyannote[3800].start 23345.29409375
transcript.pyannote[3800].end 23345.36159375
transcript.pyannote[3801].speaker SPEAKER_35
transcript.pyannote[3801].start 23345.36159375
transcript.pyannote[3801].end 23345.37846875
transcript.pyannote[3802].speaker SPEAKER_36
transcript.pyannote[3802].start 23345.37846875
transcript.pyannote[3802].end 23345.42909375
transcript.pyannote[3803].speaker SPEAKER_35
transcript.pyannote[3803].start 23345.42909375
transcript.pyannote[3803].end 23345.44596875
transcript.pyannote[3804].speaker SPEAKER_00
transcript.pyannote[3804].start 23345.44596875
transcript.pyannote[3804].end 23345.54721875
transcript.pyannote[3805].speaker SPEAKER_12
transcript.pyannote[3805].start 23347.43721875
transcript.pyannote[3805].end 23356.98846875
transcript.pyannote[3806].speaker SPEAKER_12
transcript.pyannote[3806].start 23357.27534375
transcript.pyannote[3806].end 23375.48346875
transcript.pyannote[3807].speaker SPEAKER_10
transcript.pyannote[3807].start 23367.13034375
transcript.pyannote[3807].end 23367.40034375
transcript.pyannote[3808].speaker SPEAKER_10
transcript.pyannote[3808].start 23376.02346875
transcript.pyannote[3808].end 23384.32596875
transcript.pyannote[3809].speaker SPEAKER_12
transcript.pyannote[3809].start 23384.56221875
transcript.pyannote[3809].end 23430.93471875
transcript.pyannote[3810].speaker SPEAKER_12
transcript.pyannote[3810].start 23430.96846875
transcript.pyannote[3810].end 23444.28284375
transcript.pyannote[3811].speaker SPEAKER_12
transcript.pyannote[3811].start 23444.40096875
transcript.pyannote[3811].end 23462.84534375
transcript.pyannote[3812].speaker SPEAKER_12
transcript.pyannote[3812].start 23463.06471875
transcript.pyannote[3812].end 23468.56596875
transcript.pyannote[3813].speaker SPEAKER_10
transcript.pyannote[3813].start 23468.56596875
transcript.pyannote[3813].end 23469.62909375
transcript.pyannote[3814].speaker SPEAKER_12
transcript.pyannote[3814].start 23468.58284375
transcript.pyannote[3814].end 23471.02971875
transcript.pyannote[3815].speaker SPEAKER_10
transcript.pyannote[3815].start 23471.26596875
transcript.pyannote[3815].end 23481.07034375
transcript.pyannote[3816].speaker SPEAKER_10
transcript.pyannote[3816].start 23481.42471875
transcript.pyannote[3816].end 23485.76159375
transcript.pyannote[3817].speaker SPEAKER_10
transcript.pyannote[3817].start 23486.06534375
transcript.pyannote[3817].end 23491.14471875
transcript.pyannote[3818].speaker SPEAKER_10
transcript.pyannote[3818].start 23491.48221875
transcript.pyannote[3818].end 23493.18659375
transcript.pyannote[3819].speaker SPEAKER_10
transcript.pyannote[3819].start 23493.91221875
transcript.pyannote[3819].end 23497.69221875
transcript.pyannote[3820].speaker SPEAKER_12
transcript.pyannote[3820].start 23497.96221875
transcript.pyannote[3820].end 23531.12159375
transcript.pyannote[3821].speaker SPEAKER_10
transcript.pyannote[3821].start 23498.06346875
transcript.pyannote[3821].end 23500.05471875
transcript.pyannote[3822].speaker SPEAKER_12
transcript.pyannote[3822].start 23531.59409375
transcript.pyannote[3822].end 23536.31909375
transcript.pyannote[3823].speaker SPEAKER_12
transcript.pyannote[3823].start 23536.77471875
transcript.pyannote[3823].end 23616.94784375
transcript.pyannote[3824].speaker SPEAKER_10
transcript.pyannote[3824].start 23617.35284375
transcript.pyannote[3824].end 23619.14159375
transcript.pyannote[3825].speaker SPEAKER_10
transcript.pyannote[3825].start 23619.34409375
transcript.pyannote[3825].end 23619.54659375
transcript.pyannote[3826].speaker SPEAKER_10
transcript.pyannote[3826].start 23620.28909375
transcript.pyannote[3826].end 23626.81971875
transcript.pyannote[3827].speaker SPEAKER_12
transcript.pyannote[3827].start 23625.36846875
transcript.pyannote[3827].end 23629.04721875
transcript.pyannote[3828].speaker SPEAKER_10
transcript.pyannote[3828].start 23627.39346875
transcript.pyannote[3828].end 23628.16971875
transcript.pyannote[3829].speaker SPEAKER_10
transcript.pyannote[3829].start 23628.70971875
transcript.pyannote[3829].end 23631.88221875
transcript.pyannote[3830].speaker SPEAKER_12
transcript.pyannote[3830].start 23631.17346875
transcript.pyannote[3830].end 23640.28596875
transcript.pyannote[3831].speaker SPEAKER_10
transcript.pyannote[3831].start 23632.97909375
transcript.pyannote[3831].end 23635.30784375
transcript.pyannote[3832].speaker SPEAKER_10
transcript.pyannote[3832].start 23639.67846875
transcript.pyannote[3832].end 23644.77471875
transcript.pyannote[3833].speaker SPEAKER_12
transcript.pyannote[3833].start 23644.74096875
transcript.pyannote[3833].end 23645.70284375
transcript.pyannote[3834].speaker SPEAKER_10
transcript.pyannote[3834].start 23645.33159375
transcript.pyannote[3834].end 23647.82909375
transcript.pyannote[3835].speaker SPEAKER_10
transcript.pyannote[3835].start 23648.41971875
transcript.pyannote[3835].end 23653.41471875
transcript.pyannote[3836].speaker SPEAKER_12
transcript.pyannote[3836].start 23653.31346875
transcript.pyannote[3836].end 23655.81096875
transcript.pyannote[3837].speaker SPEAKER_10
transcript.pyannote[3837].start 23654.51159375
transcript.pyannote[3837].end 23666.17221875
transcript.pyannote[3838].speaker SPEAKER_12
transcript.pyannote[3838].start 23657.68409375
transcript.pyannote[3838].end 23658.17346875
transcript.pyannote[3839].speaker SPEAKER_12
transcript.pyannote[3839].start 23664.94034375
transcript.pyannote[3839].end 23690.52284375
transcript.pyannote[3840].speaker SPEAKER_36
transcript.pyannote[3840].start 23678.42346875
transcript.pyannote[3840].end 23679.65534375
transcript.pyannote[3841].speaker SPEAKER_10
transcript.pyannote[3841].start 23687.97471875
transcript.pyannote[3841].end 23687.99159375
transcript.pyannote[3842].speaker SPEAKER_08
transcript.pyannote[3842].start 23687.99159375
transcript.pyannote[3842].end 23700.54659375
transcript.pyannote[3843].speaker SPEAKER_10
transcript.pyannote[3843].start 23690.52284375
transcript.pyannote[3843].end 23690.55659375
transcript.pyannote[3844].speaker SPEAKER_08
transcript.pyannote[3844].start 23700.66471875
transcript.pyannote[3844].end 23712.94971875
transcript.pyannote[3845].speaker SPEAKER_12
transcript.pyannote[3845].start 23712.24096875
transcript.pyannote[3845].end 23743.08846875
transcript.pyannote[3846].speaker SPEAKER_10
transcript.pyannote[3846].start 23743.42596875
transcript.pyannote[3846].end 23746.36221875
transcript.pyannote[3847].speaker SPEAKER_12
transcript.pyannote[3847].start 23746.00784375
transcript.pyannote[3847].end 23759.69346875
transcript.pyannote[3848].speaker SPEAKER_12
transcript.pyannote[3848].start 23760.04784375
transcript.pyannote[3848].end 23805.17159375
transcript.pyannote[3849].speaker SPEAKER_10
transcript.pyannote[3849].start 23805.59346875
transcript.pyannote[3849].end 23807.26409375
transcript.pyannote[3850].speaker SPEAKER_10
transcript.pyannote[3850].start 23807.63534375
transcript.pyannote[3850].end 23811.87096875
transcript.pyannote[3851].speaker SPEAKER_10
transcript.pyannote[3851].start 23812.07346875
transcript.pyannote[3851].end 23815.19534375
transcript.pyannote[3852].speaker SPEAKER_12
transcript.pyannote[3852].start 23812.10721875
transcript.pyannote[3852].end 23812.52909375
transcript.pyannote[3853].speaker SPEAKER_12
transcript.pyannote[3853].start 23815.34721875
transcript.pyannote[3853].end 23837.35221875
transcript.pyannote[3854].speaker SPEAKER_10
transcript.pyannote[3854].start 23835.32721875
transcript.pyannote[3854].end 23836.08659375
transcript.pyannote[3855].speaker SPEAKER_10
transcript.pyannote[3855].start 23837.08221875
transcript.pyannote[3855].end 23839.74846875
transcript.pyannote[3856].speaker SPEAKER_26
transcript.pyannote[3856].start 23837.35221875
transcript.pyannote[3856].end 23837.40284375
transcript.pyannote[3857].speaker SPEAKER_12
transcript.pyannote[3857].start 23837.40284375
transcript.pyannote[3857].end 23837.41971875
transcript.pyannote[3858].speaker SPEAKER_26
transcript.pyannote[3858].start 23838.88784375
transcript.pyannote[3858].end 23841.87471875
transcript.pyannote[3859].speaker SPEAKER_26
transcript.pyannote[3859].start 23842.48221875
transcript.pyannote[3859].end 23847.12284375
transcript.pyannote[3860].speaker SPEAKER_26
transcript.pyannote[3860].start 23847.17346875
transcript.pyannote[3860].end 23847.19034375
transcript.pyannote[3861].speaker SPEAKER_26
transcript.pyannote[3861].start 23847.20721875
transcript.pyannote[3861].end 23862.31034375
transcript.pyannote[3862].speaker SPEAKER_12
transcript.pyannote[3862].start 23853.36659375
transcript.pyannote[3862].end 23853.88971875
transcript.pyannote[3863].speaker SPEAKER_12
transcript.pyannote[3863].start 23856.26909375
transcript.pyannote[3863].end 23857.43346875
transcript.pyannote[3864].speaker SPEAKER_12
transcript.pyannote[3864].start 23858.17596875
transcript.pyannote[3864].end 23858.24346875
transcript.pyannote[3865].speaker SPEAKER_12
transcript.pyannote[3865].start 23861.31471875
transcript.pyannote[3865].end 23864.48721875
transcript.pyannote[3866].speaker SPEAKER_26
transcript.pyannote[3866].start 23862.81659375
transcript.pyannote[3866].end 23865.31409375
transcript.pyannote[3867].speaker SPEAKER_12
transcript.pyannote[3867].start 23865.09471875
transcript.pyannote[3867].end 23877.41346875
transcript.pyannote[3868].speaker SPEAKER_12
transcript.pyannote[3868].start 23877.54846875
transcript.pyannote[3868].end 23886.66096875
transcript.pyannote[3869].speaker SPEAKER_12
transcript.pyannote[3869].start 23886.98159375
transcript.pyannote[3869].end 23940.25596875
transcript.pyannote[3870].speaker SPEAKER_26
transcript.pyannote[3870].start 23940.25596875
transcript.pyannote[3870].end 23952.97971875
transcript.pyannote[3871].speaker SPEAKER_12
transcript.pyannote[3871].start 23949.11534375
transcript.pyannote[3871].end 23950.27971875
transcript.pyannote[3872].speaker SPEAKER_12
transcript.pyannote[3872].start 23950.36409375
transcript.pyannote[3872].end 23951.03909375
transcript.pyannote[3873].speaker SPEAKER_26
transcript.pyannote[3873].start 23953.14846875
transcript.pyannote[3873].end 23953.18221875
transcript.pyannote[3874].speaker SPEAKER_12
transcript.pyannote[3874].start 23953.18221875
transcript.pyannote[3874].end 23953.19909375
transcript.pyannote[3875].speaker SPEAKER_26
transcript.pyannote[3875].start 23953.19909375
transcript.pyannote[3875].end 23953.30034375
transcript.pyannote[3876].speaker SPEAKER_12
transcript.pyannote[3876].start 23953.30034375
transcript.pyannote[3876].end 23953.70534375
transcript.pyannote[3877].speaker SPEAKER_26
transcript.pyannote[3877].start 23953.70534375
transcript.pyannote[3877].end 23954.02596875
transcript.pyannote[3878].speaker SPEAKER_12
transcript.pyannote[3878].start 23954.02596875
transcript.pyannote[3878].end 23954.05971875
transcript.pyannote[3879].speaker SPEAKER_26
transcript.pyannote[3879].start 23954.05971875
transcript.pyannote[3879].end 23954.48159375
transcript.pyannote[3880].speaker SPEAKER_12
transcript.pyannote[3880].start 23954.48159375
transcript.pyannote[3880].end 23954.88659375
transcript.pyannote[3881].speaker SPEAKER_26
transcript.pyannote[3881].start 23954.49846875
transcript.pyannote[3881].end 23955.61221875
transcript.pyannote[3882].speaker SPEAKER_12
transcript.pyannote[3882].start 23955.02159375
transcript.pyannote[3882].end 23960.20221875
transcript.pyannote[3883].speaker SPEAKER_26
transcript.pyannote[3883].start 23960.55659375
transcript.pyannote[3883].end 23961.99096875
transcript.pyannote[3884].speaker SPEAKER_12
transcript.pyannote[3884].start 23961.78846875
transcript.pyannote[3884].end 23961.95721875
transcript.pyannote[3885].speaker SPEAKER_12
transcript.pyannote[3885].start 23961.99096875
transcript.pyannote[3885].end 23963.96534375
transcript.pyannote[3886].speaker SPEAKER_26
transcript.pyannote[3886].start 23963.96534375
transcript.pyannote[3886].end 23972.41971875
transcript.pyannote[3887].speaker SPEAKER_12
transcript.pyannote[3887].start 23964.11721875
transcript.pyannote[3887].end 23965.06221875
transcript.pyannote[3888].speaker SPEAKER_12
transcript.pyannote[3888].start 23967.59346875
transcript.pyannote[3888].end 23967.69471875
transcript.pyannote[3889].speaker SPEAKER_12
transcript.pyannote[3889].start 23970.02346875
transcript.pyannote[3889].end 23972.38596875
transcript.pyannote[3890].speaker SPEAKER_12
transcript.pyannote[3890].start 23972.41971875
transcript.pyannote[3890].end 23972.75721875
transcript.pyannote[3891].speaker SPEAKER_26
transcript.pyannote[3891].start 23972.75721875
transcript.pyannote[3891].end 23972.89221875
transcript.pyannote[3892].speaker SPEAKER_12
transcript.pyannote[3892].start 23972.89221875
transcript.pyannote[3892].end 23972.95971875
transcript.pyannote[3893].speaker SPEAKER_26
transcript.pyannote[3893].start 23972.95971875
transcript.pyannote[3893].end 23972.97659375
transcript.pyannote[3894].speaker SPEAKER_12
transcript.pyannote[3894].start 23972.97659375
transcript.pyannote[3894].end 23972.99346875
transcript.pyannote[3895].speaker SPEAKER_12
transcript.pyannote[3895].start 23973.55034375
transcript.pyannote[3895].end 23976.36846875
transcript.pyannote[3896].speaker SPEAKER_26
transcript.pyannote[3896].start 23974.27596875
transcript.pyannote[3896].end 23978.95034375
transcript.pyannote[3897].speaker SPEAKER_12
transcript.pyannote[3897].start 23977.41471875
transcript.pyannote[3897].end 24038.72159375
transcript.pyannote[3898].speaker SPEAKER_21
transcript.pyannote[3898].start 24039.19409375
transcript.pyannote[3898].end 24040.81409375
transcript.pyannote[3899].speaker SPEAKER_26
transcript.pyannote[3899].start 24039.61596875
transcript.pyannote[3899].end 24055.42784375
transcript.pyannote[3900].speaker SPEAKER_12
transcript.pyannote[3900].start 24054.43221875
transcript.pyannote[3900].end 24063.19034375
transcript.pyannote[3901].speaker SPEAKER_26
transcript.pyannote[3901].start 24059.12346875
transcript.pyannote[3901].end 24059.27534375
transcript.pyannote[3902].speaker SPEAKER_26
transcript.pyannote[3902].start 24060.40596875
transcript.pyannote[3902].end 24065.08034375
transcript.pyannote[3903].speaker SPEAKER_12
transcript.pyannote[3903].start 24063.52784375
transcript.pyannote[3903].end 24063.96659375
transcript.pyannote[3904].speaker SPEAKER_12
transcript.pyannote[3904].start 24064.38846875
transcript.pyannote[3904].end 24088.21596875
transcript.pyannote[3905].speaker SPEAKER_12
transcript.pyannote[3905].start 24088.33409375
transcript.pyannote[3905].end 24106.30596875
transcript.pyannote[3906].speaker SPEAKER_12
transcript.pyannote[3906].start 24106.94721875
transcript.pyannote[3906].end 24132.07409375
transcript.pyannote[3907].speaker SPEAKER_12
transcript.pyannote[3907].start 24132.73221875
transcript.pyannote[3907].end 24147.66659375
transcript.pyannote[3908].speaker SPEAKER_12
transcript.pyannote[3908].start 24147.78471875
transcript.pyannote[3908].end 24151.56471875
transcript.pyannote[3909].speaker SPEAKER_10
transcript.pyannote[3909].start 24152.12159375
transcript.pyannote[3909].end 24154.73721875
transcript.pyannote[3910].speaker SPEAKER_25
transcript.pyannote[3910].start 24155.22659375
transcript.pyannote[3910].end 24163.15784375
transcript.pyannote[3911].speaker SPEAKER_12
transcript.pyannote[3911].start 24155.44596875
transcript.pyannote[3911].end 24155.96909375
transcript.pyannote[3912].speaker SPEAKER_12
transcript.pyannote[3912].start 24163.74846875
transcript.pyannote[3912].end 24165.40221875
transcript.pyannote[3913].speaker SPEAKER_25
transcript.pyannote[3913].start 24164.49096875
transcript.pyannote[3913].end 24166.22909375
transcript.pyannote[3914].speaker SPEAKER_12
transcript.pyannote[3914].start 24166.04346875
transcript.pyannote[3914].end 24180.82596875
transcript.pyannote[3915].speaker SPEAKER_25
transcript.pyannote[3915].start 24180.87659375
transcript.pyannote[3915].end 24190.78221875
transcript.pyannote[3916].speaker SPEAKER_12
transcript.pyannote[3916].start 24188.58846875
transcript.pyannote[3916].end 24189.46596875
transcript.pyannote[3917].speaker SPEAKER_12
transcript.pyannote[3917].start 24190.29284375
transcript.pyannote[3917].end 24192.18284375
transcript.pyannote[3918].speaker SPEAKER_25
transcript.pyannote[3918].start 24191.62596875
transcript.pyannote[3918].end 24193.00971875
transcript.pyannote[3919].speaker SPEAKER_12
transcript.pyannote[3919].start 24192.63846875
transcript.pyannote[3919].end 24195.30471875
transcript.pyannote[3920].speaker SPEAKER_12
transcript.pyannote[3920].start 24195.86159375
transcript.pyannote[3920].end 24196.53659375
transcript.pyannote[3921].speaker SPEAKER_25
transcript.pyannote[3921].start 24196.53659375
transcript.pyannote[3921].end 24201.32909375
transcript.pyannote[3922].speaker SPEAKER_12
transcript.pyannote[3922].start 24198.35909375
transcript.pyannote[3922].end 24198.59534375
transcript.pyannote[3923].speaker SPEAKER_12
transcript.pyannote[3923].start 24200.75534375
transcript.pyannote[3923].end 24222.27096875
transcript.pyannote[3924].speaker SPEAKER_25
transcript.pyannote[3924].start 24202.39221875
transcript.pyannote[3924].end 24203.25284375
transcript.pyannote[3925].speaker SPEAKER_10
transcript.pyannote[3925].start 24222.42284375
transcript.pyannote[3925].end 24222.86159375
transcript.pyannote[3926].speaker SPEAKER_37
transcript.pyannote[3926].start 24222.86159375
transcript.pyannote[3926].end 24223.21596875
transcript.pyannote[3927].speaker SPEAKER_10
transcript.pyannote[3927].start 24223.18221875
transcript.pyannote[3927].end 24224.63346875
transcript.pyannote[3928].speaker SPEAKER_12
transcript.pyannote[3928].start 24223.21596875
transcript.pyannote[3928].end 24223.46909375
transcript.pyannote[3929].speaker SPEAKER_37
transcript.pyannote[3929].start 24223.46909375
transcript.pyannote[3929].end 24223.48596875
transcript.pyannote[3930].speaker SPEAKER_12
transcript.pyannote[3930].start 24224.61659375
transcript.pyannote[3930].end 24225.10596875
transcript.pyannote[3931].speaker SPEAKER_37
transcript.pyannote[3931].start 24224.63346875
transcript.pyannote[3931].end 24225.00471875
transcript.pyannote[3932].speaker SPEAKER_10
transcript.pyannote[3932].start 24225.10596875
transcript.pyannote[3932].end 24225.12284375
transcript.pyannote[3933].speaker SPEAKER_37
transcript.pyannote[3933].start 24225.51096875
transcript.pyannote[3933].end 24230.42159375
transcript.pyannote[3934].speaker SPEAKER_37
transcript.pyannote[3934].start 24231.26534375
transcript.pyannote[3934].end 24237.39096875
transcript.pyannote[3935].speaker SPEAKER_37
transcript.pyannote[3935].start 24237.93096875
transcript.pyannote[3935].end 24242.04846875
transcript.pyannote[3936].speaker SPEAKER_19
transcript.pyannote[3936].start 24253.15221875
transcript.pyannote[3936].end 24256.03784375
transcript.pyannote[3937].speaker SPEAKER_19
transcript.pyannote[3937].start 24256.12221875
transcript.pyannote[3937].end 24258.31596875
transcript.pyannote[3938].speaker SPEAKER_37
transcript.pyannote[3938].start 24259.07534375
transcript.pyannote[3938].end 24260.74596875
transcript.pyannote[3939].speaker SPEAKER_10
transcript.pyannote[3939].start 24269.85846875
transcript.pyannote[3939].end 24271.73159375
transcript.pyannote[3940].speaker SPEAKER_19
transcript.pyannote[3940].start 24271.73159375
transcript.pyannote[3940].end 24272.69346875
transcript.pyannote[3941].speaker SPEAKER_19
transcript.pyannote[3941].start 24272.94659375
transcript.pyannote[3941].end 24277.24971875
transcript.pyannote[3942].speaker SPEAKER_19
transcript.pyannote[3942].start 24277.77284375
transcript.pyannote[3942].end 24283.35846875
transcript.pyannote[3943].speaker SPEAKER_19
transcript.pyannote[3943].start 24283.59471875
transcript.pyannote[3943].end 24290.64846875
transcript.pyannote[3944].speaker SPEAKER_19
transcript.pyannote[3944].start 24291.15471875
transcript.pyannote[3944].end 24294.44534375
transcript.pyannote[3945].speaker SPEAKER_19
transcript.pyannote[3945].start 24294.78284375
transcript.pyannote[3945].end 24298.02284375
transcript.pyannote[3946].speaker SPEAKER_19
transcript.pyannote[3946].start 24298.09034375
transcript.pyannote[3946].end 24302.61284375
transcript.pyannote[3947].speaker SPEAKER_19
transcript.pyannote[3947].start 24303.01784375
transcript.pyannote[3947].end 24304.43534375
transcript.pyannote[3948].speaker SPEAKER_19
transcript.pyannote[3948].start 24304.78971875
transcript.pyannote[3948].end 24305.81909375
transcript.pyannote[3949].speaker SPEAKER_19
transcript.pyannote[3949].start 24306.29159375
transcript.pyannote[3949].end 24307.52346875
transcript.pyannote[3950].speaker SPEAKER_19
transcript.pyannote[3950].start 24308.13096875
transcript.pyannote[3950].end 24330.00096875
transcript.pyannote[3951].speaker SPEAKER_19
transcript.pyannote[3951].start 24330.37221875
transcript.pyannote[3951].end 24343.02846875
transcript.pyannote[3952].speaker SPEAKER_19
transcript.pyannote[3952].start 24343.14659375
transcript.pyannote[3952].end 24346.03221875
transcript.pyannote[3953].speaker SPEAKER_19
transcript.pyannote[3953].start 24346.26846875
transcript.pyannote[3953].end 24349.08659375
transcript.pyannote[3954].speaker SPEAKER_19
transcript.pyannote[3954].start 24349.35659375
transcript.pyannote[3954].end 24353.20409375
transcript.pyannote[3955].speaker SPEAKER_19
transcript.pyannote[3955].start 24353.50784375
transcript.pyannote[3955].end 24355.85346875
transcript.pyannote[3956].speaker SPEAKER_19
transcript.pyannote[3956].start 24355.97159375
transcript.pyannote[3956].end 24361.69221875
transcript.pyannote[3957].speaker SPEAKER_19
transcript.pyannote[3957].start 24361.87784375
transcript.pyannote[3957].end 24367.46346875
transcript.pyannote[3958].speaker SPEAKER_19
transcript.pyannote[3958].start 24367.91909375
transcript.pyannote[3958].end 24372.39096875
transcript.pyannote[3959].speaker SPEAKER_19
transcript.pyannote[3959].start 24373.23471875
transcript.pyannote[3959].end 24376.77846875
transcript.pyannote[3960].speaker SPEAKER_19
transcript.pyannote[3960].start 24377.26784375
transcript.pyannote[3960].end 24383.56221875
transcript.pyannote[3961].speaker SPEAKER_19
transcript.pyannote[3961].start 24384.20346875
transcript.pyannote[3961].end 24386.66721875
transcript.pyannote[3962].speaker SPEAKER_19
transcript.pyannote[3962].start 24386.98784375
transcript.pyannote[3962].end 24387.35909375
transcript.pyannote[3963].speaker SPEAKER_19
transcript.pyannote[3963].start 24387.93284375
transcript.pyannote[3963].end 24393.68721875
transcript.pyannote[3964].speaker SPEAKER_19
transcript.pyannote[3964].start 24394.14284375
transcript.pyannote[3964].end 24395.50971875
transcript.pyannote[3965].speaker SPEAKER_19
transcript.pyannote[3965].start 24395.99909375
transcript.pyannote[3965].end 24423.97784375
transcript.pyannote[3966].speaker SPEAKER_19
transcript.pyannote[3966].start 24424.38284375
transcript.pyannote[3966].end 24424.97346875
transcript.pyannote[3967].speaker SPEAKER_10
transcript.pyannote[3967].start 24424.97346875
transcript.pyannote[3967].end 24427.08284375
transcript.pyannote[3968].speaker SPEAKER_10
transcript.pyannote[3968].start 24427.85909375
transcript.pyannote[3968].end 24430.32284375
transcript.pyannote[3969].speaker SPEAKER_10
transcript.pyannote[3969].start 24430.87971875
transcript.pyannote[3969].end 24433.93409375
transcript.pyannote[3970].speaker SPEAKER_10
transcript.pyannote[3970].start 24433.96784375
transcript.pyannote[3970].end 24435.11534375
transcript.pyannote[3971].speaker SPEAKER_10
transcript.pyannote[3971].start 24435.23346875
transcript.pyannote[3971].end 24443.60346875
transcript.pyannote[3972].speaker SPEAKER_10
transcript.pyannote[3972].start 24443.94096875
transcript.pyannote[3972].end 24448.78409375
transcript.pyannote[3973].speaker SPEAKER_10
transcript.pyannote[3973].start 24448.95284375
transcript.pyannote[3973].end 24456.63096875
transcript.pyannote[3974].speaker SPEAKER_10
transcript.pyannote[3974].start 24456.96846875
transcript.pyannote[3974].end 24458.99346875
transcript.pyannote[3975].speaker SPEAKER_10
transcript.pyannote[3975].start 24459.29721875
transcript.pyannote[3975].end 24461.74409375
transcript.pyannote[3976].speaker SPEAKER_10
transcript.pyannote[3976].start 24462.19971875
transcript.pyannote[3976].end 24466.24971875
transcript.pyannote[3977].speaker SPEAKER_10
transcript.pyannote[3977].start 24466.26659375
transcript.pyannote[3977].end 24468.32534375
transcript.pyannote[3978].speaker SPEAKER_10
transcript.pyannote[3978].start 24468.69659375
transcript.pyannote[3978].end 24472.37534375
transcript.pyannote[3979].speaker SPEAKER_10
transcript.pyannote[3979].start 24472.69596875
transcript.pyannote[3979].end 24473.60721875
transcript.pyannote[3980].speaker SPEAKER_10
transcript.pyannote[3980].start 24473.96159375
transcript.pyannote[3980].end 24475.46346875
transcript.pyannote[3981].speaker SPEAKER_10
transcript.pyannote[3981].start 24475.80096875
transcript.pyannote[3981].end 24481.18409375
transcript.pyannote[3982].speaker SPEAKER_10
transcript.pyannote[3982].start 24481.36971875
transcript.pyannote[3982].end 24481.84221875
transcript.pyannote[3983].speaker SPEAKER_10
transcript.pyannote[3983].start 24481.99409375
transcript.pyannote[3983].end 24489.23346875
transcript.pyannote[3984].speaker SPEAKER_10
transcript.pyannote[3984].start 24489.40221875
transcript.pyannote[3984].end 24492.67596875
transcript.pyannote[3985].speaker SPEAKER_10
transcript.pyannote[3985].start 24492.94596875
transcript.pyannote[3985].end 24499.17284375
transcript.pyannote[3986].speaker SPEAKER_10
transcript.pyannote[3986].start 24499.25721875
transcript.pyannote[3986].end 24504.08346875
transcript.pyannote[3987].speaker SPEAKER_19
transcript.pyannote[3987].start 24504.28596875
transcript.pyannote[3987].end 24508.87596875
transcript.pyannote[3988].speaker SPEAKER_19
transcript.pyannote[3988].start 24508.99409375
transcript.pyannote[3988].end 24510.56346875
transcript.pyannote[3989].speaker SPEAKER_19
transcript.pyannote[3989].start 24510.81659375
transcript.pyannote[3989].end 24513.90471875
transcript.pyannote[3990].speaker SPEAKER_19
transcript.pyannote[3990].start 24514.15784375
transcript.pyannote[3990].end 24523.82721875
transcript.pyannote[3991].speaker SPEAKER_19
transcript.pyannote[3991].start 24523.87784375
transcript.pyannote[3991].end 24524.46846875
transcript.pyannote[3992].speaker SPEAKER_19
transcript.pyannote[3992].start 24524.94096875
transcript.pyannote[3992].end 24538.06971875
transcript.pyannote[3993].speaker SPEAKER_19
transcript.pyannote[3993].start 24538.84596875
transcript.pyannote[3993].end 24543.18284375
transcript.pyannote[3994].speaker SPEAKER_19
transcript.pyannote[3994].start 24543.40221875
transcript.pyannote[3994].end 24549.37596875
transcript.pyannote[3995].speaker SPEAKER_19
transcript.pyannote[3995].start 24549.98346875
transcript.pyannote[3995].end 24554.30346875
transcript.pyannote[3996].speaker SPEAKER_19
transcript.pyannote[3996].start 24554.65784375
transcript.pyannote[3996].end 24570.03096875
transcript.pyannote[3997].speaker SPEAKER_10
transcript.pyannote[3997].start 24569.44034375
transcript.pyannote[3997].end 24573.50721875
transcript.pyannote[3998].speaker SPEAKER_19
transcript.pyannote[3998].start 24571.06034375
transcript.pyannote[3998].end 24571.34721875
transcript.pyannote[3999].speaker SPEAKER_10
transcript.pyannote[3999].start 24573.72659375
transcript.pyannote[3999].end 24575.53221875
transcript.pyannote[4000].speaker SPEAKER_10
transcript.pyannote[4000].start 24575.70096875
transcript.pyannote[4000].end 24580.39221875
transcript.pyannote[4001].speaker SPEAKER_19
transcript.pyannote[4001].start 24580.71284375
transcript.pyannote[4001].end 24584.94846875
transcript.pyannote[4002].speaker SPEAKER_19
transcript.pyannote[4002].start 24585.23534375
transcript.pyannote[4002].end 24586.51784375
transcript.pyannote[4003].speaker SPEAKER_19
transcript.pyannote[4003].start 24586.80471875
transcript.pyannote[4003].end 24591.31034375
transcript.pyannote[4004].speaker SPEAKER_19
transcript.pyannote[4004].start 24591.61409375
transcript.pyannote[4004].end 24602.12721875
transcript.pyannote[4005].speaker SPEAKER_19
transcript.pyannote[4005].start 24602.21159375
transcript.pyannote[4005].end 24616.53846875
transcript.pyannote[4006].speaker SPEAKER_19
transcript.pyannote[4006].start 24616.85909375
transcript.pyannote[4006].end 24622.83284375
transcript.pyannote[4007].speaker SPEAKER_19
transcript.pyannote[4007].start 24623.37284375
transcript.pyannote[4007].end 24625.48221875
transcript.pyannote[4008].speaker SPEAKER_19
transcript.pyannote[4008].start 24625.60034375
transcript.pyannote[4008].end 24629.78534375
transcript.pyannote[4009].speaker SPEAKER_19
transcript.pyannote[4009].start 24629.98784375
transcript.pyannote[4009].end 24635.59034375
transcript.pyannote[4010].speaker SPEAKER_19
transcript.pyannote[4010].start 24635.69159375
transcript.pyannote[4010].end 24640.16346875
transcript.pyannote[4011].speaker SPEAKER_19
transcript.pyannote[4011].start 24640.19721875
transcript.pyannote[4011].end 24663.46784375
transcript.pyannote[4012].speaker SPEAKER_19
transcript.pyannote[4012].start 24663.83909375
transcript.pyannote[4012].end 24665.74596875
transcript.pyannote[4013].speaker SPEAKER_19
transcript.pyannote[4013].start 24666.11721875
transcript.pyannote[4013].end 24689.38784375
transcript.pyannote[4014].speaker SPEAKER_19
transcript.pyannote[4014].start 24689.92784375
transcript.pyannote[4014].end 24710.61659375
transcript.pyannote[4015].speaker SPEAKER_19
transcript.pyannote[4015].start 24711.22409375
transcript.pyannote[4015].end 24715.25721875
transcript.pyannote[4016].speaker SPEAKER_19
transcript.pyannote[4016].start 24715.49346875
transcript.pyannote[4016].end 24722.09159375
transcript.pyannote[4017].speaker SPEAKER_19
transcript.pyannote[4017].start 24722.34471875
transcript.pyannote[4017].end 24727.98096875
transcript.pyannote[4018].speaker SPEAKER_00
transcript.pyannote[4018].start 24722.76659375
transcript.pyannote[4018].end 24722.83409375
transcript.pyannote[4019].speaker SPEAKER_19
transcript.pyannote[4019].start 24728.06534375
transcript.pyannote[4019].end 24740.73846875
transcript.pyannote[4020].speaker SPEAKER_19
transcript.pyannote[4020].start 24740.89034375
transcript.pyannote[4020].end 24742.10534375
transcript.pyannote[4021].speaker SPEAKER_19
transcript.pyannote[4021].start 24742.57784375
transcript.pyannote[4021].end 24748.26471875
transcript.pyannote[4022].speaker SPEAKER_19
transcript.pyannote[4022].start 24749.02409375
transcript.pyannote[4022].end 24751.97721875
transcript.pyannote[4023].speaker SPEAKER_10
transcript.pyannote[4023].start 24751.97721875
transcript.pyannote[4023].end 24752.48346875
transcript.pyannote[4024].speaker SPEAKER_10
transcript.pyannote[4024].start 24752.95596875
transcript.pyannote[4024].end 24755.92596875
transcript.pyannote[4025].speaker SPEAKER_10
transcript.pyannote[4025].start 24756.24659375
transcript.pyannote[4025].end 24758.89596875
transcript.pyannote[4026].speaker SPEAKER_10
transcript.pyannote[4026].start 24758.98034375
transcript.pyannote[4026].end 24760.44846875
transcript.pyannote[4027].speaker SPEAKER_10
transcript.pyannote[4027].start 24760.75221875
transcript.pyannote[4027].end 24764.48159375
transcript.pyannote[4028].speaker SPEAKER_10
transcript.pyannote[4028].start 24764.83596875
transcript.pyannote[4028].end 24767.72159375
transcript.pyannote[4029].speaker SPEAKER_10
transcript.pyannote[4029].start 24768.22784375
transcript.pyannote[4029].end 24770.48909375
transcript.pyannote[4030].speaker SPEAKER_10
transcript.pyannote[4030].start 24770.69159375
transcript.pyannote[4030].end 24773.12159375
transcript.pyannote[4031].speaker SPEAKER_10
transcript.pyannote[4031].start 24773.66159375
transcript.pyannote[4031].end 24775.09596875
transcript.pyannote[4032].speaker SPEAKER_10
transcript.pyannote[4032].start 24775.24784375
transcript.pyannote[4032].end 24776.31096875
transcript.pyannote[4033].speaker SPEAKER_10
transcript.pyannote[4033].start 24776.42909375
transcript.pyannote[4033].end 24777.50909375
transcript.pyannote[4034].speaker SPEAKER_10
transcript.pyannote[4034].start 24777.82971875
transcript.pyannote[4034].end 24778.31909375
transcript.pyannote[4035].speaker SPEAKER_10
transcript.pyannote[4035].start 24778.53846875
transcript.pyannote[4035].end 24781.74471875
transcript.pyannote[4036].speaker SPEAKER_10
transcript.pyannote[4036].start 24781.98096875
transcript.pyannote[4036].end 24789.62534375
transcript.pyannote[4037].speaker SPEAKER_10
transcript.pyannote[4037].start 24789.86159375
transcript.pyannote[4037].end 24789.89534375
transcript.pyannote[4038].speaker SPEAKER_19
transcript.pyannote[4038].start 24789.89534375
transcript.pyannote[4038].end 24794.78909375
transcript.pyannote[4039].speaker SPEAKER_19
transcript.pyannote[4039].start 24795.26159375
transcript.pyannote[4039].end 24797.99534375
transcript.pyannote[4040].speaker SPEAKER_19
transcript.pyannote[4040].start 24798.28221875
transcript.pyannote[4040].end 24800.27346875
transcript.pyannote[4041].speaker SPEAKER_19
transcript.pyannote[4041].start 24800.67846875
transcript.pyannote[4041].end 24802.63596875
transcript.pyannote[4042].speaker SPEAKER_19
transcript.pyannote[4042].start 24802.93971875
transcript.pyannote[4042].end 24814.12784375
transcript.pyannote[4043].speaker SPEAKER_19
transcript.pyannote[4043].start 24814.39784375
transcript.pyannote[4043].end 24818.11034375
transcript.pyannote[4044].speaker SPEAKER_19
transcript.pyannote[4044].start 24818.31284375
transcript.pyannote[4044].end 24822.95346875
transcript.pyannote[4045].speaker SPEAKER_19
transcript.pyannote[4045].start 24823.32471875
transcript.pyannote[4045].end 24827.94846875
transcript.pyannote[4046].speaker SPEAKER_19
transcript.pyannote[4046].start 24828.13409375
transcript.pyannote[4046].end 24830.68221875
transcript.pyannote[4047].speaker SPEAKER_19
transcript.pyannote[4047].start 24831.27284375
transcript.pyannote[4047].end 24832.85909375
transcript.pyannote[4048].speaker SPEAKER_19
transcript.pyannote[4048].start 24833.06159375
transcript.pyannote[4048].end 24834.29346875
transcript.pyannote[4049].speaker SPEAKER_19
transcript.pyannote[4049].start 24834.85034375
transcript.pyannote[4049].end 24852.68721875
transcript.pyannote[4050].speaker SPEAKER_19
transcript.pyannote[4050].start 24853.00784375
transcript.pyannote[4050].end 24880.69971875
transcript.pyannote[4051].speaker SPEAKER_10
transcript.pyannote[4051].start 24880.78409375
transcript.pyannote[4051].end 24883.43346875
transcript.pyannote[4052].speaker SPEAKER_10
transcript.pyannote[4052].start 24884.02409375
transcript.pyannote[4052].end 24888.98534375
transcript.pyannote[4053].speaker SPEAKER_10
transcript.pyannote[4053].start 24889.37346875
transcript.pyannote[4053].end 24890.20034375
transcript.pyannote[4054].speaker SPEAKER_10
transcript.pyannote[4054].start 24890.65596875
transcript.pyannote[4054].end 24894.63846875
transcript.pyannote[4055].speaker SPEAKER_19
transcript.pyannote[4055].start 24894.94221875
transcript.pyannote[4055].end 24895.24596875
transcript.pyannote[4056].speaker SPEAKER_19
transcript.pyannote[4056].start 24895.38096875
transcript.pyannote[4056].end 24899.78534375
transcript.pyannote[4057].speaker SPEAKER_19
transcript.pyannote[4057].start 24900.13971875
transcript.pyannote[4057].end 24900.69659375
transcript.pyannote[4058].speaker SPEAKER_19
transcript.pyannote[4058].start 24901.84409375
transcript.pyannote[4058].end 24902.35034375
transcript.pyannote[4059].speaker SPEAKER_19
transcript.pyannote[4059].start 24903.07596875
transcript.pyannote[4059].end 24906.02909375
transcript.pyannote[4060].speaker SPEAKER_19
transcript.pyannote[4060].start 24906.63659375
transcript.pyannote[4060].end 24907.88534375
transcript.pyannote[4061].speaker SPEAKER_19
transcript.pyannote[4061].start 24908.17221875
transcript.pyannote[4061].end 24909.20159375
transcript.pyannote[4062].speaker SPEAKER_19
transcript.pyannote[4062].start 24909.40409375
transcript.pyannote[4062].end 24926.70096875
transcript.pyannote[4063].speaker SPEAKER_19
transcript.pyannote[4063].start 24927.64596875
transcript.pyannote[4063].end 24928.25346875
transcript.pyannote[4064].speaker SPEAKER_19
transcript.pyannote[4064].start 24928.64159375
transcript.pyannote[4064].end 24943.06971875
transcript.pyannote[4065].speaker SPEAKER_19
transcript.pyannote[4065].start 24943.76159375
transcript.pyannote[4065].end 24945.39846875
transcript.pyannote[4066].speaker SPEAKER_19
transcript.pyannote[4066].start 24945.66846875
transcript.pyannote[4066].end 24947.00159375
transcript.pyannote[4067].speaker SPEAKER_19
transcript.pyannote[4067].start 24947.52471875
transcript.pyannote[4067].end 24948.48659375
transcript.pyannote[4068].speaker SPEAKER_19
transcript.pyannote[4068].start 24948.82409375
transcript.pyannote[4068].end 24950.52846875
transcript.pyannote[4069].speaker SPEAKER_19
transcript.pyannote[4069].start 24951.00096875
transcript.pyannote[4069].end 24951.62534375
transcript.pyannote[4070].speaker SPEAKER_19
transcript.pyannote[4070].start 24952.24971875
transcript.pyannote[4070].end 24954.32534375
transcript.pyannote[4071].speaker SPEAKER_19
transcript.pyannote[4071].start 24954.89909375
transcript.pyannote[4071].end 24955.69221875
transcript.pyannote[4072].speaker SPEAKER_19
transcript.pyannote[4072].start 24956.33346875
transcript.pyannote[4072].end 24957.32909375
transcript.pyannote[4073].speaker SPEAKER_19
transcript.pyannote[4073].start 24957.51471875
transcript.pyannote[4073].end 24958.34159375
transcript.pyannote[4074].speaker SPEAKER_19
transcript.pyannote[4074].start 24958.83096875
transcript.pyannote[4074].end 24959.69159375
transcript.pyannote[4075].speaker SPEAKER_19
transcript.pyannote[4075].start 24960.33284375
transcript.pyannote[4075].end 24962.34096875
transcript.pyannote[4076].speaker SPEAKER_19
transcript.pyannote[4076].start 24962.44221875
transcript.pyannote[4076].end 24963.01596875
transcript.pyannote[4077].speaker SPEAKER_19
transcript.pyannote[4077].start 24963.47159375
transcript.pyannote[4077].end 24965.56409375
transcript.pyannote[4078].speaker SPEAKER_19
transcript.pyannote[4078].start 24966.10409375
transcript.pyannote[4078].end 24966.49221875
transcript.pyannote[4079].speaker SPEAKER_19
transcript.pyannote[4079].start 24966.76221875
transcript.pyannote[4079].end 24976.12784375
transcript.pyannote[4080].speaker SPEAKER_19
transcript.pyannote[4080].start 24977.03909375
transcript.pyannote[4080].end 24978.00096875
transcript.pyannote[4081].speaker SPEAKER_19
transcript.pyannote[4081].start 24978.35534375
transcript.pyannote[4081].end 24981.12284375
transcript.pyannote[4082].speaker SPEAKER_19
transcript.pyannote[4082].start 24981.57846875
transcript.pyannote[4082].end 24982.21971875
transcript.pyannote[4083].speaker SPEAKER_19
transcript.pyannote[4083].start 24982.79346875
transcript.pyannote[4083].end 24984.71721875
transcript.pyannote[4084].speaker SPEAKER_19
transcript.pyannote[4084].start 24985.69596875
transcript.pyannote[4084].end 24986.21909375
transcript.pyannote[4085].speaker SPEAKER_19
transcript.pyannote[4085].start 24986.77596875
transcript.pyannote[4085].end 24989.74596875
transcript.pyannote[4086].speaker SPEAKER_19
transcript.pyannote[4086].start 24990.18471875
transcript.pyannote[4086].end 24992.17596875
transcript.pyannote[4087].speaker SPEAKER_19
transcript.pyannote[4087].start 24993.00284375
transcript.pyannote[4087].end 24994.35284375
transcript.pyannote[4088].speaker SPEAKER_19
transcript.pyannote[4088].start 24994.90971875
transcript.pyannote[4088].end 24997.23846875
transcript.pyannote[4089].speaker SPEAKER_19
transcript.pyannote[4089].start 24997.81221875
transcript.pyannote[4089].end 25001.27159375
transcript.pyannote[4090].speaker SPEAKER_19
transcript.pyannote[4090].start 25001.87909375
transcript.pyannote[4090].end 25003.06034375
transcript.pyannote[4091].speaker SPEAKER_19
transcript.pyannote[4091].start 25003.85346875
transcript.pyannote[4091].end 25005.42284375
transcript.pyannote[4092].speaker SPEAKER_19
transcript.pyannote[4092].start 25005.64221875
transcript.pyannote[4092].end 25006.01346875
transcript.pyannote[4093].speaker SPEAKER_19
transcript.pyannote[4093].start 25006.45221875
transcript.pyannote[4093].end 25007.59971875
transcript.pyannote[4094].speaker SPEAKER_19
transcript.pyannote[4094].start 25008.05534375
transcript.pyannote[4094].end 25009.10159375
transcript.pyannote[4095].speaker SPEAKER_19
transcript.pyannote[4095].start 25009.38846875
transcript.pyannote[4095].end 25010.65409375
transcript.pyannote[4096].speaker SPEAKER_19
transcript.pyannote[4096].start 25011.17721875
transcript.pyannote[4096].end 25012.79721875
transcript.pyannote[4097].speaker SPEAKER_19
transcript.pyannote[4097].start 25013.32034375
transcript.pyannote[4097].end 25026.33096875
transcript.pyannote[4098].speaker SPEAKER_38
transcript.pyannote[4098].start 25026.61784375
transcript.pyannote[4098].end 25034.86971875
transcript.pyannote[4099].speaker SPEAKER_38
transcript.pyannote[4099].start 25035.03846875
transcript.pyannote[4099].end 25044.11721875
transcript.pyannote[4100].speaker SPEAKER_38
transcript.pyannote[4100].start 25044.20159375
transcript.pyannote[4100].end 25053.02721875
transcript.pyannote[4101].speaker SPEAKER_19
transcript.pyannote[4101].start 25053.02721875
transcript.pyannote[4101].end 25053.07784375
transcript.pyannote[4102].speaker SPEAKER_38
transcript.pyannote[4102].start 25053.07784375
transcript.pyannote[4102].end 25053.97221875
transcript.pyannote[4103].speaker SPEAKER_19
transcript.pyannote[4103].start 25053.97221875
transcript.pyannote[4103].end 25055.25471875
transcript.pyannote[4104].speaker SPEAKER_19
transcript.pyannote[4104].start 25055.40659375
transcript.pyannote[4104].end 25066.00409375
transcript.pyannote[4105].speaker SPEAKER_19
transcript.pyannote[4105].start 25066.18971875
transcript.pyannote[4105].end 25070.27346875
transcript.pyannote[4106].speaker SPEAKER_19
transcript.pyannote[4106].start 25070.59409375
transcript.pyannote[4106].end 25071.57284375
transcript.pyannote[4107].speaker SPEAKER_19
transcript.pyannote[4107].start 25071.60659375
transcript.pyannote[4107].end 25074.39096875
transcript.pyannote[4108].speaker SPEAKER_19
transcript.pyannote[4108].start 25074.94784375
transcript.pyannote[4108].end 25076.36534375
transcript.pyannote[4109].speaker SPEAKER_19
transcript.pyannote[4109].start 25076.85471875
transcript.pyannote[4109].end 25085.05596875
transcript.pyannote[4110].speaker SPEAKER_19
transcript.pyannote[4110].start 25085.35971875
transcript.pyannote[4110].end 25094.97846875
transcript.pyannote[4111].speaker SPEAKER_19
transcript.pyannote[4111].start 25095.65346875
transcript.pyannote[4111].end 25096.96971875
transcript.pyannote[4112].speaker SPEAKER_38
transcript.pyannote[4112].start 25096.96971875
transcript.pyannote[4112].end 25097.03721875
transcript.pyannote[4113].speaker SPEAKER_36
transcript.pyannote[4113].start 25097.03721875
transcript.pyannote[4113].end 25097.08784375
transcript.pyannote[4114].speaker SPEAKER_38
transcript.pyannote[4114].start 25097.08784375
transcript.pyannote[4114].end 25106.28471875
transcript.pyannote[4115].speaker SPEAKER_36
transcript.pyannote[4115].start 25097.20596875
transcript.pyannote[4115].end 25097.37471875
transcript.pyannote[4116].speaker SPEAKER_38
transcript.pyannote[4116].start 25106.67284375
transcript.pyannote[4116].end 25117.10159375
transcript.pyannote[4117].speaker SPEAKER_38
transcript.pyannote[4117].start 25117.21971875
transcript.pyannote[4117].end 25127.80034375
transcript.pyannote[4118].speaker SPEAKER_38
transcript.pyannote[4118].start 25128.35721875
transcript.pyannote[4118].end 25132.50846875
transcript.pyannote[4119].speaker SPEAKER_38
transcript.pyannote[4119].start 25132.81221875
transcript.pyannote[4119].end 25134.63471875
transcript.pyannote[4120].speaker SPEAKER_38
transcript.pyannote[4120].start 25134.76971875
transcript.pyannote[4120].end 25139.03909375
transcript.pyannote[4121].speaker SPEAKER_38
transcript.pyannote[4121].start 25139.08971875
transcript.pyannote[4121].end 25139.49471875
transcript.pyannote[4122].speaker SPEAKER_19
transcript.pyannote[4122].start 25139.49471875
transcript.pyannote[4122].end 25139.51159375
transcript.pyannote[4123].speaker SPEAKER_38
transcript.pyannote[4123].start 25140.23721875
transcript.pyannote[4123].end 25140.96284375
transcript.pyannote[4124].speaker SPEAKER_19
transcript.pyannote[4124].start 25140.96284375
transcript.pyannote[4124].end 25146.14346875
transcript.pyannote[4125].speaker SPEAKER_19
transcript.pyannote[4125].start 25146.31221875
transcript.pyannote[4125].end 25147.17284375
transcript.pyannote[4126].speaker SPEAKER_19
transcript.pyannote[4126].start 25147.62846875
transcript.pyannote[4126].end 25150.02471875
transcript.pyannote[4127].speaker SPEAKER_19
transcript.pyannote[4127].start 25150.41284375
transcript.pyannote[4127].end 25151.98221875
transcript.pyannote[4128].speaker SPEAKER_19
transcript.pyannote[4128].start 25152.53909375
transcript.pyannote[4128].end 25164.97596875
transcript.pyannote[4129].speaker SPEAKER_19
transcript.pyannote[4129].start 25165.29659375
transcript.pyannote[4129].end 25167.92909375
transcript.pyannote[4130].speaker SPEAKER_19
transcript.pyannote[4130].start 25168.18221875
transcript.pyannote[4130].end 25173.41346875
transcript.pyannote[4131].speaker SPEAKER_19
transcript.pyannote[4131].start 25174.08846875
transcript.pyannote[4131].end 25176.41721875
transcript.pyannote[4132].speaker SPEAKER_19
transcript.pyannote[4132].start 25181.96909375
transcript.pyannote[4132].end 25189.03971875
transcript.pyannote[4133].speaker SPEAKER_18
transcript.pyannote[4133].start 25189.03971875
transcript.pyannote[4133].end 25189.39409375
transcript.pyannote[4134].speaker SPEAKER_18
transcript.pyannote[4134].start 25189.81596875
transcript.pyannote[4134].end 25201.47659375
transcript.pyannote[4135].speaker SPEAKER_18
transcript.pyannote[4135].start 25202.43846875
transcript.pyannote[4135].end 25203.97409375
transcript.pyannote[4136].speaker SPEAKER_37
transcript.pyannote[4136].start 25207.53471875
transcript.pyannote[4136].end 25211.77034375
transcript.pyannote[4137].speaker SPEAKER_37
transcript.pyannote[4137].start 25227.09284375
transcript.pyannote[4137].end 25231.09221875
transcript.pyannote[4138].speaker SPEAKER_15
transcript.pyannote[4138].start 25244.57534375
transcript.pyannote[4138].end 25247.02221875
transcript.pyannote[4139].speaker SPEAKER_37
transcript.pyannote[4139].start 25247.47784375
transcript.pyannote[4139].end 25248.97971875
transcript.pyannote[4140].speaker SPEAKER_15
transcript.pyannote[4140].start 25258.81784375
transcript.pyannote[4140].end 25260.65721875
transcript.pyannote[4141].speaker SPEAKER_15
transcript.pyannote[4141].start 25260.84284375
transcript.pyannote[4141].end 25263.71159375
transcript.pyannote[4142].speaker SPEAKER_15
transcript.pyannote[4142].start 25264.04909375
transcript.pyannote[4142].end 25270.14096875
transcript.pyannote[4143].speaker SPEAKER_36
transcript.pyannote[4143].start 25264.26846875
transcript.pyannote[4143].end 25264.38659375
transcript.pyannote[4144].speaker SPEAKER_15
transcript.pyannote[4144].start 25270.44471875
transcript.pyannote[4144].end 25274.73096875
transcript.pyannote[4145].speaker SPEAKER_15
transcript.pyannote[4145].start 25275.03471875
transcript.pyannote[4145].end 25275.72659375
transcript.pyannote[4146].speaker SPEAKER_15
transcript.pyannote[4146].start 25275.96284375
transcript.pyannote[4146].end 25277.34659375
transcript.pyannote[4147].speaker SPEAKER_15
transcript.pyannote[4147].start 25277.86971875
transcript.pyannote[4147].end 25278.71346875
transcript.pyannote[4148].speaker SPEAKER_15
transcript.pyannote[4148].start 25279.01721875
transcript.pyannote[4148].end 25281.78471875
transcript.pyannote[4149].speaker SPEAKER_15
transcript.pyannote[4149].start 25282.03784375
transcript.pyannote[4149].end 25287.89346875
transcript.pyannote[4150].speaker SPEAKER_15
transcript.pyannote[4150].start 25288.45034375
transcript.pyannote[4150].end 25291.36971875
transcript.pyannote[4151].speaker SPEAKER_15
transcript.pyannote[4151].start 25291.94346875
transcript.pyannote[4151].end 25297.14096875
transcript.pyannote[4152].speaker SPEAKER_10
transcript.pyannote[4152].start 25297.52909375
transcript.pyannote[4152].end 25299.06471875
transcript.pyannote[4153].speaker SPEAKER_10
transcript.pyannote[4153].start 25299.23346875
transcript.pyannote[4153].end 25303.85721875
transcript.pyannote[4154].speaker SPEAKER_10
transcript.pyannote[4154].start 25304.43096875
transcript.pyannote[4154].end 25306.59096875
transcript.pyannote[4155].speaker SPEAKER_10
transcript.pyannote[4155].start 25307.02971875
transcript.pyannote[4155].end 25308.80159375
transcript.pyannote[4156].speaker SPEAKER_10
transcript.pyannote[4156].start 25309.00409375
transcript.pyannote[4156].end 25311.26534375
transcript.pyannote[4157].speaker SPEAKER_10
transcript.pyannote[4157].start 25311.72096875
transcript.pyannote[4157].end 25312.76721875
transcript.pyannote[4158].speaker SPEAKER_10
transcript.pyannote[4158].start 25313.17221875
transcript.pyannote[4158].end 25316.37846875
transcript.pyannote[4159].speaker SPEAKER_15
transcript.pyannote[4159].start 25315.12971875
transcript.pyannote[4159].end 25329.65909375
transcript.pyannote[4160].speaker SPEAKER_15
transcript.pyannote[4160].start 25329.91221875
transcript.pyannote[4160].end 25330.63784375
transcript.pyannote[4161].speaker SPEAKER_15
transcript.pyannote[4161].start 25330.82346875
transcript.pyannote[4161].end 25335.98721875
transcript.pyannote[4162].speaker SPEAKER_15
transcript.pyannote[4162].start 25336.66221875
transcript.pyannote[4162].end 25336.96596875
transcript.pyannote[4163].speaker SPEAKER_10
transcript.pyannote[4163].start 25336.96596875
transcript.pyannote[4163].end 25337.57346875
transcript.pyannote[4164].speaker SPEAKER_10
transcript.pyannote[4164].start 25338.61971875
transcript.pyannote[4164].end 25343.56409375
transcript.pyannote[4165].speaker SPEAKER_10
transcript.pyannote[4165].start 25343.68221875
transcript.pyannote[4165].end 25348.03596875
transcript.pyannote[4166].speaker SPEAKER_15
transcript.pyannote[4166].start 25348.03596875
transcript.pyannote[4166].end 25348.47471875
transcript.pyannote[4167].speaker SPEAKER_10
transcript.pyannote[4167].start 25348.47471875
transcript.pyannote[4167].end 25348.49159375
transcript.pyannote[4168].speaker SPEAKER_15
transcript.pyannote[4168].start 25348.49159375
transcript.pyannote[4168].end 25348.50846875
transcript.pyannote[4169].speaker SPEAKER_10
transcript.pyannote[4169].start 25348.50846875
transcript.pyannote[4169].end 25348.52534375
transcript.pyannote[4170].speaker SPEAKER_10
transcript.pyannote[4170].start 25348.89659375
transcript.pyannote[4170].end 25348.91346875
transcript.pyannote[4171].speaker SPEAKER_15
transcript.pyannote[4171].start 25348.91346875
transcript.pyannote[4171].end 25352.82846875
transcript.pyannote[4172].speaker SPEAKER_15
transcript.pyannote[4172].start 25352.98034375
transcript.pyannote[4172].end 25354.83659375
transcript.pyannote[4173].speaker SPEAKER_15
transcript.pyannote[4173].start 25355.14034375
transcript.pyannote[4173].end 25358.81909375
transcript.pyannote[4174].speaker SPEAKER_15
transcript.pyannote[4174].start 25359.62909375
transcript.pyannote[4174].end 25368.80909375
transcript.pyannote[4175].speaker SPEAKER_10
transcript.pyannote[4175].start 25369.39971875
transcript.pyannote[4175].end 25380.58784375
transcript.pyannote[4176].speaker SPEAKER_15
transcript.pyannote[4176].start 25380.75659375
transcript.pyannote[4176].end 25393.29471875
transcript.pyannote[4177].speaker SPEAKER_15
transcript.pyannote[4177].start 25393.53096875
transcript.pyannote[4177].end 25394.57721875
transcript.pyannote[4178].speaker SPEAKER_15
transcript.pyannote[4178].start 25394.93159375
transcript.pyannote[4178].end 25396.26471875
transcript.pyannote[4179].speaker SPEAKER_15
transcript.pyannote[4179].start 25396.70346875
transcript.pyannote[4179].end 25404.44909375
transcript.pyannote[4180].speaker SPEAKER_15
transcript.pyannote[4180].start 25404.76971875
transcript.pyannote[4180].end 25417.07159375
transcript.pyannote[4181].speaker SPEAKER_00
transcript.pyannote[4181].start 25411.84034375
transcript.pyannote[4181].end 25413.00471875
transcript.pyannote[4182].speaker SPEAKER_15
transcript.pyannote[4182].start 25417.52721875
transcript.pyannote[4182].end 25432.81596875
transcript.pyannote[4183].speaker SPEAKER_15
transcript.pyannote[4183].start 25433.15346875
transcript.pyannote[4183].end 25436.93346875
transcript.pyannote[4184].speaker SPEAKER_15
transcript.pyannote[4184].start 25437.01784375
transcript.pyannote[4184].end 25441.67534375
transcript.pyannote[4185].speaker SPEAKER_15
transcript.pyannote[4185].start 25441.81034375
transcript.pyannote[4185].end 25442.73846875
transcript.pyannote[4186].speaker SPEAKER_15
transcript.pyannote[4186].start 25443.14346875
transcript.pyannote[4186].end 25445.59034375
transcript.pyannote[4187].speaker SPEAKER_15
transcript.pyannote[4187].start 25445.91096875
transcript.pyannote[4187].end 25447.10909375
transcript.pyannote[4188].speaker SPEAKER_15
transcript.pyannote[4188].start 25447.53096875
transcript.pyannote[4188].end 25454.73659375
transcript.pyannote[4189].speaker SPEAKER_15
transcript.pyannote[4189].start 25454.92221875
transcript.pyannote[4189].end 25455.31034375
transcript.pyannote[4190].speaker SPEAKER_15
transcript.pyannote[4190].start 25455.69846875
transcript.pyannote[4190].end 25458.48284375
transcript.pyannote[4191].speaker SPEAKER_15
transcript.pyannote[4191].start 25458.87096875
transcript.pyannote[4191].end 25460.40659375
transcript.pyannote[4192].speaker SPEAKER_10
transcript.pyannote[4192].start 25460.84534375
transcript.pyannote[4192].end 25464.82784375
transcript.pyannote[4193].speaker SPEAKER_10
transcript.pyannote[4193].start 25465.13159375
transcript.pyannote[4193].end 25467.39284375
transcript.pyannote[4194].speaker SPEAKER_10
transcript.pyannote[4194].start 25467.64596875
transcript.pyannote[4194].end 25475.12159375
transcript.pyannote[4195].speaker SPEAKER_15
transcript.pyannote[4195].start 25471.22346875
transcript.pyannote[4195].end 25471.72971875
transcript.pyannote[4196].speaker SPEAKER_15
transcript.pyannote[4196].start 25473.67034375
transcript.pyannote[4196].end 25480.52159375
transcript.pyannote[4197].speaker SPEAKER_38
transcript.pyannote[4197].start 25480.52159375
transcript.pyannote[4197].end 25503.87659375
transcript.pyannote[4198].speaker SPEAKER_15
transcript.pyannote[4198].start 25502.72909375
transcript.pyannote[4198].end 25505.91846875
transcript.pyannote[4199].speaker SPEAKER_15
transcript.pyannote[4199].start 25506.22221875
transcript.pyannote[4199].end 25511.43659375
transcript.pyannote[4200].speaker SPEAKER_15
transcript.pyannote[4200].start 25511.84159375
transcript.pyannote[4200].end 25514.64284375
transcript.pyannote[4201].speaker SPEAKER_15
transcript.pyannote[4201].start 25514.96346875
transcript.pyannote[4201].end 25519.18221875
transcript.pyannote[4202].speaker SPEAKER_15
transcript.pyannote[4202].start 25519.38471875
transcript.pyannote[4202].end 25524.64971875
transcript.pyannote[4203].speaker SPEAKER_38
transcript.pyannote[4203].start 25524.95346875
transcript.pyannote[4203].end 25536.12471875
transcript.pyannote[4204].speaker SPEAKER_38
transcript.pyannote[4204].start 25536.71534375
transcript.pyannote[4204].end 25546.26659375
transcript.pyannote[4205].speaker SPEAKER_15
transcript.pyannote[4205].start 25543.90409375
transcript.pyannote[4205].end 25547.73471875
transcript.pyannote[4206].speaker SPEAKER_38
transcript.pyannote[4206].start 25547.73471875
transcript.pyannote[4206].end 25559.96909375
transcript.pyannote[4207].speaker SPEAKER_15
transcript.pyannote[4207].start 25558.46721875
transcript.pyannote[4207].end 25559.73284375
transcript.pyannote[4208].speaker SPEAKER_15
transcript.pyannote[4208].start 25560.28971875
transcript.pyannote[4208].end 25561.08284375
transcript.pyannote[4209].speaker SPEAKER_38
transcript.pyannote[4209].start 25560.34034375
transcript.pyannote[4209].end 25560.84659375
transcript.pyannote[4210].speaker SPEAKER_38
transcript.pyannote[4210].start 25560.94784375
transcript.pyannote[4210].end 25561.01534375
transcript.pyannote[4211].speaker SPEAKER_38
transcript.pyannote[4211].start 25561.08284375
transcript.pyannote[4211].end 25561.62284375
transcript.pyannote[4212].speaker SPEAKER_15
transcript.pyannote[4212].start 25561.62284375
transcript.pyannote[4212].end 25561.75784375
transcript.pyannote[4213].speaker SPEAKER_38
transcript.pyannote[4213].start 25561.75784375
transcript.pyannote[4213].end 25568.89596875
transcript.pyannote[4214].speaker SPEAKER_15
transcript.pyannote[4214].start 25567.49534375
transcript.pyannote[4214].end 25569.67221875
transcript.pyannote[4215].speaker SPEAKER_38
transcript.pyannote[4215].start 25570.00971875
transcript.pyannote[4215].end 25573.06409375
transcript.pyannote[4216].speaker SPEAKER_15
transcript.pyannote[4216].start 25570.66784375
transcript.pyannote[4216].end 25574.46471875
transcript.pyannote[4217].speaker SPEAKER_38
transcript.pyannote[4217].start 25574.58284375
transcript.pyannote[4217].end 25585.06221875
transcript.pyannote[4218].speaker SPEAKER_15
transcript.pyannote[4218].start 25583.22284375
transcript.pyannote[4218].end 25591.47471875
transcript.pyannote[4219].speaker SPEAKER_15
transcript.pyannote[4219].start 25591.60971875
transcript.pyannote[4219].end 25596.46971875
transcript.pyannote[4220].speaker SPEAKER_15
transcript.pyannote[4220].start 25596.95909375
transcript.pyannote[4220].end 25604.18159375
transcript.pyannote[4221].speaker SPEAKER_15
transcript.pyannote[4221].start 25604.55284375
transcript.pyannote[4221].end 25607.53971875
transcript.pyannote[4222].speaker SPEAKER_15
transcript.pyannote[4222].start 25607.96159375
transcript.pyannote[4222].end 25619.41971875
transcript.pyannote[4223].speaker SPEAKER_36
transcript.pyannote[4223].start 25610.39159375
transcript.pyannote[4223].end 25610.40846875
transcript.pyannote[4224].speaker SPEAKER_09
transcript.pyannote[4224].start 25610.40846875
transcript.pyannote[4224].end 25611.70784375
transcript.pyannote[4225].speaker SPEAKER_10
transcript.pyannote[4225].start 25618.93034375
transcript.pyannote[4225].end 25624.39784375
transcript.pyannote[4226].speaker SPEAKER_10
transcript.pyannote[4226].start 25624.73534375
transcript.pyannote[4226].end 25632.88596875
transcript.pyannote[4227].speaker SPEAKER_15
transcript.pyannote[4227].start 25624.92096875
transcript.pyannote[4227].end 25627.28346875
transcript.pyannote[4228].speaker SPEAKER_15
transcript.pyannote[4228].start 25630.69221875
transcript.pyannote[4228].end 25630.70909375
transcript.pyannote[4229].speaker SPEAKER_26
transcript.pyannote[4229].start 25630.70909375
transcript.pyannote[4229].end 25631.04659375
transcript.pyannote[4230].speaker SPEAKER_15
transcript.pyannote[4230].start 25631.04659375
transcript.pyannote[4230].end 25632.80159375
transcript.pyannote[4231].speaker SPEAKER_15
transcript.pyannote[4231].start 25632.88596875
transcript.pyannote[4231].end 25634.67471875
transcript.pyannote[4232].speaker SPEAKER_26
transcript.pyannote[4232].start 25634.67471875
transcript.pyannote[4232].end 25638.58971875
transcript.pyannote[4233].speaker SPEAKER_26
transcript.pyannote[4233].start 25638.69096875
transcript.pyannote[4233].end 25642.36971875
transcript.pyannote[4234].speaker SPEAKER_26
transcript.pyannote[4234].start 25642.45409375
transcript.pyannote[4234].end 25646.30159375
transcript.pyannote[4235].speaker SPEAKER_15
transcript.pyannote[4235].start 25645.44096875
transcript.pyannote[4235].end 25647.21284375
transcript.pyannote[4236].speaker SPEAKER_26
transcript.pyannote[4236].start 25647.26346875
transcript.pyannote[4236].end 25652.03909375
transcript.pyannote[4237].speaker SPEAKER_26
transcript.pyannote[4237].start 25652.41034375
transcript.pyannote[4237].end 25656.51096875
transcript.pyannote[4238].speaker SPEAKER_15
transcript.pyannote[4238].start 25655.34659375
transcript.pyannote[4238].end 25659.24471875
transcript.pyannote[4239].speaker SPEAKER_26
transcript.pyannote[4239].start 25657.97909375
transcript.pyannote[4239].end 25662.65346875
transcript.pyannote[4240].speaker SPEAKER_15
transcript.pyannote[4240].start 25662.87284375
transcript.pyannote[4240].end 25669.63971875
transcript.pyannote[4241].speaker SPEAKER_15
transcript.pyannote[4241].start 25669.90971875
transcript.pyannote[4241].end 25671.73221875
transcript.pyannote[4242].speaker SPEAKER_15
transcript.pyannote[4242].start 25671.78284375
transcript.pyannote[4242].end 25672.87971875
transcript.pyannote[4243].speaker SPEAKER_15
transcript.pyannote[4243].start 25673.23409375
transcript.pyannote[4243].end 25678.04346875
transcript.pyannote[4244].speaker SPEAKER_15
transcript.pyannote[4244].start 25678.33034375
transcript.pyannote[4244].end 25682.88659375
transcript.pyannote[4245].speaker SPEAKER_15
transcript.pyannote[4245].start 25683.13971875
transcript.pyannote[4245].end 25684.79346875
transcript.pyannote[4246].speaker SPEAKER_15
transcript.pyannote[4246].start 25684.99596875
transcript.pyannote[4246].end 25692.35346875
transcript.pyannote[4247].speaker SPEAKER_15
transcript.pyannote[4247].start 25692.65721875
transcript.pyannote[4247].end 25695.47534375
transcript.pyannote[4248].speaker SPEAKER_15
transcript.pyannote[4248].start 25695.82971875
transcript.pyannote[4248].end 25700.97659375
transcript.pyannote[4249].speaker SPEAKER_15
transcript.pyannote[4249].start 25701.16221875
transcript.pyannote[4249].end 25703.86221875
transcript.pyannote[4250].speaker SPEAKER_15
transcript.pyannote[4250].start 25704.55409375
transcript.pyannote[4250].end 25707.79409375
transcript.pyannote[4251].speaker SPEAKER_10
transcript.pyannote[4251].start 25708.46909375
transcript.pyannote[4251].end 25711.75971875
transcript.pyannote[4252].speaker SPEAKER_10
transcript.pyannote[4252].start 25712.09721875
transcript.pyannote[4252].end 25713.78471875
transcript.pyannote[4253].speaker SPEAKER_15
transcript.pyannote[4253].start 25713.78471875
transcript.pyannote[4253].end 25714.62846875
transcript.pyannote[4254].speaker SPEAKER_10
transcript.pyannote[4254].start 25713.81846875
transcript.pyannote[4254].end 25714.54409375
transcript.pyannote[4255].speaker SPEAKER_15
transcript.pyannote[4255].start 25715.03346875
transcript.pyannote[4255].end 25722.67784375
transcript.pyannote[4256].speaker SPEAKER_15
transcript.pyannote[4256].start 25723.43721875
transcript.pyannote[4256].end 25724.14596875
transcript.pyannote[4257].speaker SPEAKER_10
transcript.pyannote[4257].start 25724.11221875
transcript.pyannote[4257].end 25724.12909375
transcript.pyannote[4258].speaker SPEAKER_10
transcript.pyannote[4258].start 25724.14596875
transcript.pyannote[4258].end 25725.12471875
transcript.pyannote[4259].speaker SPEAKER_10
transcript.pyannote[4259].start 25725.54659375
transcript.pyannote[4259].end 25728.16221875
transcript.pyannote[4260].speaker SPEAKER_10
transcript.pyannote[4260].start 25728.43221875
transcript.pyannote[4260].end 25729.51221875
transcript.pyannote[4261].speaker SPEAKER_10
transcript.pyannote[4261].start 25729.83284375
transcript.pyannote[4261].end 25733.98409375
transcript.pyannote[4262].speaker SPEAKER_10
transcript.pyannote[4262].start 25734.33846875
transcript.pyannote[4262].end 25735.87409375
transcript.pyannote[4263].speaker SPEAKER_10
transcript.pyannote[4263].start 25736.24534375
transcript.pyannote[4263].end 25741.49346875
transcript.pyannote[4264].speaker SPEAKER_15
transcript.pyannote[4264].start 25741.89846875
transcript.pyannote[4264].end 25744.24409375
transcript.pyannote[4265].speaker SPEAKER_15
transcript.pyannote[4265].start 25744.59846875
transcript.pyannote[4265].end 25746.23534375
transcript.pyannote[4266].speaker SPEAKER_10
transcript.pyannote[4266].start 25744.98659375
transcript.pyannote[4266].end 25750.45409375
transcript.pyannote[4267].speaker SPEAKER_15
transcript.pyannote[4267].start 25746.45471875
transcript.pyannote[4267].end 25746.97784375
transcript.pyannote[4268].speaker SPEAKER_10
transcript.pyannote[4268].start 25750.85909375
transcript.pyannote[4268].end 25752.02346875
transcript.pyannote[4269].speaker SPEAKER_15
transcript.pyannote[4269].start 25752.02346875
transcript.pyannote[4269].end 25752.36096875
transcript.pyannote[4270].speaker SPEAKER_10
transcript.pyannote[4270].start 25752.36096875
transcript.pyannote[4270].end 25753.76159375
transcript.pyannote[4271].speaker SPEAKER_15
transcript.pyannote[4271].start 25752.37784375
transcript.pyannote[4271].end 25753.49159375
transcript.pyannote[4272].speaker SPEAKER_15
transcript.pyannote[4272].start 25753.62659375
transcript.pyannote[4272].end 25758.72284375
transcript.pyannote[4273].speaker SPEAKER_10
transcript.pyannote[4273].start 25758.14909375
transcript.pyannote[4273].end 25758.40221875
transcript.pyannote[4274].speaker SPEAKER_15
transcript.pyannote[4274].start 25759.27971875
transcript.pyannote[4274].end 25760.89971875
transcript.pyannote[4275].speaker SPEAKER_15
transcript.pyannote[4275].start 25761.22034375
transcript.pyannote[4275].end 25761.69284375
transcript.pyannote[4276].speaker SPEAKER_10
transcript.pyannote[4276].start 25761.38909375
transcript.pyannote[4276].end 25761.65909375
transcript.pyannote[4277].speaker SPEAKER_10
transcript.pyannote[4277].start 25761.69284375
transcript.pyannote[4277].end 25762.67159375
transcript.pyannote[4278].speaker SPEAKER_15
transcript.pyannote[4278].start 25762.67159375
transcript.pyannote[4278].end 25769.26971875
transcript.pyannote[4279].speaker SPEAKER_15
transcript.pyannote[4279].start 25769.75909375
transcript.pyannote[4279].end 25771.68284375
transcript.pyannote[4280].speaker SPEAKER_15
transcript.pyannote[4280].start 25772.52659375
transcript.pyannote[4280].end 25775.12534375
transcript.pyannote[4281].speaker SPEAKER_15
transcript.pyannote[4281].start 25775.88471875
transcript.pyannote[4281].end 25777.26846875
transcript.pyannote[4282].speaker SPEAKER_15
transcript.pyannote[4282].start 25777.72409375
transcript.pyannote[4282].end 25782.09471875
transcript.pyannote[4283].speaker SPEAKER_15
transcript.pyannote[4283].start 25784.64284375
transcript.pyannote[4283].end 25788.62534375
transcript.pyannote[4284].speaker SPEAKER_10
transcript.pyannote[4284].start 25785.67221875
transcript.pyannote[4284].end 25786.12784375
transcript.pyannote[4285].speaker SPEAKER_10
transcript.pyannote[4285].start 25786.24596875
transcript.pyannote[4285].end 25787.02221875
transcript.pyannote[4286].speaker SPEAKER_10
transcript.pyannote[4286].start 25788.94596875
transcript.pyannote[4286].end 25790.78534375
transcript.pyannote[4287].speaker SPEAKER_10
transcript.pyannote[4287].start 25790.85284375
transcript.pyannote[4287].end 25795.37534375
transcript.pyannote[4288].speaker SPEAKER_15
transcript.pyannote[4288].start 25791.12284375
transcript.pyannote[4288].end 25791.54471875
transcript.pyannote[4289].speaker SPEAKER_15
transcript.pyannote[4289].start 25792.20284375
transcript.pyannote[4289].end 25792.60784375
transcript.pyannote[4290].speaker SPEAKER_10
transcript.pyannote[4290].start 25795.64534375
transcript.pyannote[4290].end 25797.61971875
transcript.pyannote[4291].speaker SPEAKER_15
transcript.pyannote[4291].start 25795.67909375
transcript.pyannote[4291].end 25795.93221875
transcript.pyannote[4292].speaker SPEAKER_15
transcript.pyannote[4292].start 25798.36221875
transcript.pyannote[4292].end 25805.83784375
transcript.pyannote[4293].speaker SPEAKER_36
transcript.pyannote[4293].start 25805.51721875
transcript.pyannote[4293].end 25805.82096875
transcript.pyannote[4294].speaker SPEAKER_36
transcript.pyannote[4294].start 25805.83784375
transcript.pyannote[4294].end 25806.24284375
transcript.pyannote[4295].speaker SPEAKER_15
transcript.pyannote[4295].start 25806.47909375
transcript.pyannote[4295].end 25809.19596875
transcript.pyannote[4296].speaker SPEAKER_15
transcript.pyannote[4296].start 25810.25909375
transcript.pyannote[4296].end 25815.11909375
transcript.pyannote[4297].speaker SPEAKER_15
transcript.pyannote[4297].start 25816.70534375
transcript.pyannote[4297].end 25818.69659375
transcript.pyannote[4298].speaker SPEAKER_15
transcript.pyannote[4298].start 25818.94971875
transcript.pyannote[4298].end 25820.09721875
transcript.pyannote[4299].speaker SPEAKER_15
transcript.pyannote[4299].start 25820.16471875
transcript.pyannote[4299].end 25820.18159375
transcript.pyannote[4300].speaker SPEAKER_10
transcript.pyannote[4300].start 25820.18159375
transcript.pyannote[4300].end 25821.00846875
transcript.pyannote[4301].speaker SPEAKER_15
transcript.pyannote[4301].start 25822.03784375
transcript.pyannote[4301].end 25824.60284375
transcript.pyannote[4302].speaker SPEAKER_15
transcript.pyannote[4302].start 25825.14284375
transcript.pyannote[4302].end 25826.42534375
transcript.pyannote[4303].speaker SPEAKER_15
transcript.pyannote[4303].start 25827.62346875
transcript.pyannote[4303].end 25831.52159375
transcript.pyannote[4304].speaker SPEAKER_15
transcript.pyannote[4304].start 25831.96034375
transcript.pyannote[4304].end 25834.22159375
transcript.pyannote[4305].speaker SPEAKER_15
transcript.pyannote[4305].start 25834.74471875
transcript.pyannote[4305].end 25838.25471875
transcript.pyannote[4306].speaker SPEAKER_15
transcript.pyannote[4306].start 25838.60909375
transcript.pyannote[4306].end 25842.27096875
transcript.pyannote[4307].speaker SPEAKER_15
transcript.pyannote[4307].start 25842.72659375
transcript.pyannote[4307].end 25843.89096875
transcript.pyannote[4308].speaker SPEAKER_15
transcript.pyannote[4308].start 25844.04284375
transcript.pyannote[4308].end 25845.64596875
transcript.pyannote[4309].speaker SPEAKER_15
transcript.pyannote[4309].start 25845.89909375
transcript.pyannote[4309].end 25847.95784375
transcript.pyannote[4310].speaker SPEAKER_15
transcript.pyannote[4310].start 25848.32909375
transcript.pyannote[4310].end 25849.27409375
transcript.pyannote[4311].speaker SPEAKER_15
transcript.pyannote[4311].start 25849.94909375
transcript.pyannote[4311].end 25852.88534375
transcript.pyannote[4312].speaker SPEAKER_15
transcript.pyannote[4312].start 25853.22284375
transcript.pyannote[4312].end 25854.84284375
transcript.pyannote[4313].speaker SPEAKER_26
transcript.pyannote[4313].start 25856.27721875
transcript.pyannote[4313].end 25856.69909375
transcript.pyannote[4314].speaker SPEAKER_15
transcript.pyannote[4314].start 25856.91846875
transcript.pyannote[4314].end 25859.60159375
transcript.pyannote[4315].speaker SPEAKER_15
transcript.pyannote[4315].start 25860.00659375
transcript.pyannote[4315].end 25861.10346875
transcript.pyannote[4316].speaker SPEAKER_15
transcript.pyannote[4316].start 25861.64346875
transcript.pyannote[4316].end 25863.19596875
transcript.pyannote[4317].speaker SPEAKER_10
transcript.pyannote[4317].start 25864.09034375
transcript.pyannote[4317].end 25867.22909375
transcript.pyannote[4318].speaker SPEAKER_10
transcript.pyannote[4318].start 25867.34721875
transcript.pyannote[4318].end 25869.11909375
transcript.pyannote[4319].speaker SPEAKER_10
transcript.pyannote[4319].start 25869.57471875
transcript.pyannote[4319].end 25871.68409375
transcript.pyannote[4320].speaker SPEAKER_10
transcript.pyannote[4320].start 25872.02159375
transcript.pyannote[4320].end 25876.05471875
transcript.pyannote[4321].speaker SPEAKER_15
transcript.pyannote[4321].start 25873.05096875
transcript.pyannote[4321].end 25873.10159375
transcript.pyannote[4322].speaker SPEAKER_08
transcript.pyannote[4322].start 25873.10159375
transcript.pyannote[4322].end 25873.43909375
transcript.pyannote[4323].speaker SPEAKER_15
transcript.pyannote[4323].start 25873.43909375
transcript.pyannote[4323].end 25873.45596875
transcript.pyannote[4324].speaker SPEAKER_10
transcript.pyannote[4324].start 25876.34159375
transcript.pyannote[4324].end 25879.41284375
transcript.pyannote[4325].speaker SPEAKER_15
transcript.pyannote[4325].start 25879.51409375
transcript.pyannote[4325].end 25881.01596875
transcript.pyannote[4326].speaker SPEAKER_15
transcript.pyannote[4326].start 25881.40409375
transcript.pyannote[4326].end 25887.83346875
transcript.pyannote[4327].speaker SPEAKER_15
transcript.pyannote[4327].start 25888.22159375
transcript.pyannote[4327].end 25890.22971875
transcript.pyannote[4328].speaker SPEAKER_15
transcript.pyannote[4328].start 25890.60096875
transcript.pyannote[4328].end 25895.22471875
transcript.pyannote[4329].speaker SPEAKER_25
transcript.pyannote[4329].start 25895.34284375
transcript.pyannote[4329].end 25900.72596875
transcript.pyannote[4330].speaker SPEAKER_15
transcript.pyannote[4330].start 25898.80221875
transcript.pyannote[4330].end 25901.29971875
transcript.pyannote[4331].speaker SPEAKER_25
transcript.pyannote[4331].start 25901.29971875
transcript.pyannote[4331].end 25908.87659375
transcript.pyannote[4332].speaker SPEAKER_15
transcript.pyannote[4332].start 25904.70846875
transcript.pyannote[4332].end 25905.18096875
transcript.pyannote[4333].speaker SPEAKER_15
transcript.pyannote[4333].start 25908.35346875
transcript.pyannote[4333].end 25916.21721875
transcript.pyannote[4334].speaker SPEAKER_25
transcript.pyannote[4334].start 25916.16659375
transcript.pyannote[4334].end 25927.82721875
transcript.pyannote[4335].speaker SPEAKER_15
transcript.pyannote[4335].start 25916.30159375
transcript.pyannote[4335].end 25917.26346875
transcript.pyannote[4336].speaker SPEAKER_25
transcript.pyannote[4336].start 25927.92846875
transcript.pyannote[4336].end 25934.94846875
transcript.pyannote[4337].speaker SPEAKER_25
transcript.pyannote[4337].start 25935.70784375
transcript.pyannote[4337].end 25935.96096875
transcript.pyannote[4338].speaker SPEAKER_15
transcript.pyannote[4338].start 25935.96096875
transcript.pyannote[4338].end 25938.74534375
transcript.pyannote[4339].speaker SPEAKER_25
transcript.pyannote[4339].start 25938.89721875
transcript.pyannote[4339].end 25938.94784375
transcript.pyannote[4340].speaker SPEAKER_15
transcript.pyannote[4340].start 25938.94784375
transcript.pyannote[4340].end 25939.03221875
transcript.pyannote[4341].speaker SPEAKER_25
transcript.pyannote[4341].start 25939.03221875
transcript.pyannote[4341].end 25939.96034375
transcript.pyannote[4342].speaker SPEAKER_15
transcript.pyannote[4342].start 25939.96034375
transcript.pyannote[4342].end 25942.40721875
transcript.pyannote[4343].speaker SPEAKER_25
transcript.pyannote[4343].start 25941.05721875
transcript.pyannote[4343].end 25941.46221875
transcript.pyannote[4344].speaker SPEAKER_15
transcript.pyannote[4344].start 25942.67721875
transcript.pyannote[4344].end 25944.01034375
transcript.pyannote[4345].speaker SPEAKER_15
transcript.pyannote[4345].start 25944.31409375
transcript.pyannote[4345].end 25947.79034375
transcript.pyannote[4346].speaker SPEAKER_25
transcript.pyannote[4346].start 25948.12784375
transcript.pyannote[4346].end 25958.21909375
transcript.pyannote[4347].speaker SPEAKER_15
transcript.pyannote[4347].start 25957.64534375
transcript.pyannote[4347].end 25960.58159375
transcript.pyannote[4348].speaker SPEAKER_25
transcript.pyannote[4348].start 25960.58159375
transcript.pyannote[4348].end 25967.80409375
transcript.pyannote[4349].speaker SPEAKER_15
transcript.pyannote[4349].start 25963.34909375
transcript.pyannote[4349].end 25964.26034375
transcript.pyannote[4350].speaker SPEAKER_15
transcript.pyannote[4350].start 25967.14596875
transcript.pyannote[4350].end 25967.44971875
transcript.pyannote[4351].speaker SPEAKER_15
transcript.pyannote[4351].start 25968.02346875
transcript.pyannote[4351].end 25975.09409375
transcript.pyannote[4352].speaker SPEAKER_15
transcript.pyannote[4352].start 25975.24596875
transcript.pyannote[4352].end 25980.91596875
transcript.pyannote[4353].speaker SPEAKER_15
transcript.pyannote[4353].start 25980.94971875
transcript.pyannote[4353].end 25982.99159375
transcript.pyannote[4354].speaker SPEAKER_15
transcript.pyannote[4354].start 25983.43034375
transcript.pyannote[4354].end 25987.53096875
transcript.pyannote[4355].speaker SPEAKER_15
transcript.pyannote[4355].start 25987.91909375
transcript.pyannote[4355].end 25992.08721875
transcript.pyannote[4356].speaker SPEAKER_15
transcript.pyannote[4356].start 25992.30659375
transcript.pyannote[4356].end 25995.98534375
transcript.pyannote[4357].speaker SPEAKER_15
transcript.pyannote[4357].start 25996.67721875
transcript.pyannote[4357].end 26003.49471875
transcript.pyannote[4358].speaker SPEAKER_15
transcript.pyannote[4358].start 26003.79846875
transcript.pyannote[4358].end 26007.42659375
transcript.pyannote[4359].speaker SPEAKER_15
transcript.pyannote[4359].start 26008.27034375
transcript.pyannote[4359].end 26008.65846875
transcript.pyannote[4360].speaker SPEAKER_15
transcript.pyannote[4360].start 26009.41784375
transcript.pyannote[4360].end 26010.02534375
transcript.pyannote[4361].speaker SPEAKER_25
transcript.pyannote[4361].start 26010.61596875
transcript.pyannote[4361].end 26011.03784375
transcript.pyannote[4362].speaker SPEAKER_41
transcript.pyannote[4362].start 26011.03784375
transcript.pyannote[4362].end 26011.22346875
transcript.pyannote[4363].speaker SPEAKER_25
transcript.pyannote[4363].start 26011.22346875
transcript.pyannote[4363].end 26011.25721875
transcript.pyannote[4364].speaker SPEAKER_25
transcript.pyannote[4364].start 26011.59471875
transcript.pyannote[4364].end 26011.62846875
transcript.pyannote[4365].speaker SPEAKER_41
transcript.pyannote[4365].start 26011.62846875
transcript.pyannote[4365].end 26011.78034375
transcript.pyannote[4366].speaker SPEAKER_15
transcript.pyannote[4366].start 26011.78034375
transcript.pyannote[4366].end 26012.87721875
transcript.pyannote[4367].speaker SPEAKER_25
transcript.pyannote[4367].start 26013.16409375
transcript.pyannote[4367].end 26013.63659375
transcript.pyannote[4368].speaker SPEAKER_25
transcript.pyannote[4368].start 26013.80534375
transcript.pyannote[4368].end 26015.23971875
transcript.pyannote[4369].speaker SPEAKER_10
transcript.pyannote[4369].start 26014.00784375
transcript.pyannote[4369].end 26014.02471875
transcript.pyannote[4370].speaker SPEAKER_41
transcript.pyannote[4370].start 26014.02471875
transcript.pyannote[4370].end 26014.51409375
transcript.pyannote[4371].speaker SPEAKER_41
transcript.pyannote[4371].start 26016.04971875
transcript.pyannote[4371].end 26020.18409375
transcript.pyannote[4372].speaker SPEAKER_15
transcript.pyannote[4372].start 26021.34846875
transcript.pyannote[4372].end 26023.69409375
transcript.pyannote[4373].speaker SPEAKER_15
transcript.pyannote[4373].start 26025.36471875
transcript.pyannote[4373].end 26025.39846875
transcript.pyannote[4374].speaker SPEAKER_25
transcript.pyannote[4374].start 26025.39846875
transcript.pyannote[4374].end 26025.58409375
transcript.pyannote[4375].speaker SPEAKER_15
transcript.pyannote[4375].start 26025.58409375
transcript.pyannote[4375].end 26025.63471875
transcript.pyannote[4376].speaker SPEAKER_25
transcript.pyannote[4376].start 26025.63471875
transcript.pyannote[4376].end 26026.76534375
transcript.pyannote[4377].speaker SPEAKER_15
transcript.pyannote[4377].start 26025.66846875
transcript.pyannote[4377].end 26025.97221875
transcript.pyannote[4378].speaker SPEAKER_25
transcript.pyannote[4378].start 26027.40659375
transcript.pyannote[4378].end 26036.35034375
transcript.pyannote[4379].speaker SPEAKER_15
transcript.pyannote[4379].start 26036.90721875
transcript.pyannote[4379].end 26041.91909375
transcript.pyannote[4380].speaker SPEAKER_15
transcript.pyannote[4380].start 26043.30284375
transcript.pyannote[4380].end 26044.65284375
transcript.pyannote[4381].speaker SPEAKER_25
transcript.pyannote[4381].start 26044.26471875
transcript.pyannote[4381].end 26049.49596875
transcript.pyannote[4382].speaker SPEAKER_15
transcript.pyannote[4382].start 26045.04096875
transcript.pyannote[4382].end 26046.15471875
transcript.pyannote[4383].speaker SPEAKER_15
transcript.pyannote[4383].start 26049.85034375
transcript.pyannote[4383].end 26052.80346875
transcript.pyannote[4384].speaker SPEAKER_15
transcript.pyannote[4384].start 26052.87096875
transcript.pyannote[4384].end 26054.28846875
transcript.pyannote[4385].speaker SPEAKER_41
transcript.pyannote[4385].start 26053.03971875
transcript.pyannote[4385].end 26053.41096875
transcript.pyannote[4386].speaker SPEAKER_41
transcript.pyannote[4386].start 26053.84971875
transcript.pyannote[4386].end 26054.52471875
transcript.pyannote[4387].speaker SPEAKER_41
transcript.pyannote[4387].start 26055.63846875
transcript.pyannote[4387].end 26061.34221875
transcript.pyannote[4388].speaker SPEAKER_15
transcript.pyannote[4388].start 26060.66721875
transcript.pyannote[4388].end 26067.07971875
transcript.pyannote[4389].speaker SPEAKER_15
transcript.pyannote[4389].start 26068.37909375
transcript.pyannote[4389].end 26068.98659375
transcript.pyannote[4390].speaker SPEAKER_41
transcript.pyannote[4390].start 26068.46346875
transcript.pyannote[4390].end 26068.96971875
transcript.pyannote[4391].speaker SPEAKER_41
transcript.pyannote[4391].start 26069.56034375
transcript.pyannote[4391].end 26072.49659375
transcript.pyannote[4392].speaker SPEAKER_41
transcript.pyannote[4392].start 26073.34034375
transcript.pyannote[4392].end 26075.34846875
transcript.pyannote[4393].speaker SPEAKER_15
transcript.pyannote[4393].start 26074.25159375
transcript.pyannote[4393].end 26080.57971875
transcript.pyannote[4394].speaker SPEAKER_41
transcript.pyannote[4394].start 26078.77409375
transcript.pyannote[4394].end 26081.44034375
transcript.pyannote[4395].speaker SPEAKER_41
transcript.pyannote[4395].start 26081.79471875
transcript.pyannote[4395].end 26099.44596875
transcript.pyannote[4396].speaker SPEAKER_15
transcript.pyannote[4396].start 26083.61721875
transcript.pyannote[4396].end 26085.76034375
transcript.pyannote[4397].speaker SPEAKER_15
transcript.pyannote[4397].start 26096.44221875
transcript.pyannote[4397].end 26107.14096875
transcript.pyannote[4398].speaker SPEAKER_41
transcript.pyannote[4398].start 26107.24221875
transcript.pyannote[4398].end 26113.11471875
transcript.pyannote[4399].speaker SPEAKER_15
transcript.pyannote[4399].start 26108.57534375
transcript.pyannote[4399].end 26109.58784375
transcript.pyannote[4400].speaker SPEAKER_15
transcript.pyannote[4400].start 26113.36784375
transcript.pyannote[4400].end 26116.70909375
transcript.pyannote[4401].speaker SPEAKER_41
transcript.pyannote[4401].start 26115.88221875
transcript.pyannote[4401].end 26116.18596875
transcript.pyannote[4402].speaker SPEAKER_15
transcript.pyannote[4402].start 26116.91159375
transcript.pyannote[4402].end 26117.19846875
transcript.pyannote[4403].speaker SPEAKER_15
transcript.pyannote[4403].start 26118.70034375
transcript.pyannote[4403].end 26120.35409375
transcript.pyannote[4404].speaker SPEAKER_15
transcript.pyannote[4404].start 26123.15534375
transcript.pyannote[4404].end 26131.03596875
transcript.pyannote[4405].speaker SPEAKER_15
transcript.pyannote[4405].start 26131.17096875
transcript.pyannote[4405].end 26135.99721875
transcript.pyannote[4406].speaker SPEAKER_15
transcript.pyannote[4406].start 26137.12784375
transcript.pyannote[4406].end 26139.97971875
transcript.pyannote[4407].speaker SPEAKER_21
transcript.pyannote[4407].start 26141.16096875
transcript.pyannote[4407].end 26141.92034375
transcript.pyannote[4408].speaker SPEAKER_15
transcript.pyannote[4408].start 26142.32534375
transcript.pyannote[4408].end 26144.04659375
transcript.pyannote[4409].speaker SPEAKER_15
transcript.pyannote[4409].start 26144.08034375
transcript.pyannote[4409].end 26145.17721875
transcript.pyannote[4410].speaker SPEAKER_15
transcript.pyannote[4410].start 26146.18971875
transcript.pyannote[4410].end 26147.20221875
transcript.pyannote[4411].speaker SPEAKER_10
transcript.pyannote[4411].start 26147.20221875
transcript.pyannote[4411].end 26147.62409375
transcript.pyannote[4412].speaker SPEAKER_15
transcript.pyannote[4412].start 26147.62409375
transcript.pyannote[4412].end 26147.70846875
transcript.pyannote[4413].speaker SPEAKER_10
transcript.pyannote[4413].start 26147.70846875
transcript.pyannote[4413].end 26147.72534375
transcript.pyannote[4414].speaker SPEAKER_15
transcript.pyannote[4414].start 26147.72534375
transcript.pyannote[4414].end 26147.74221875
transcript.pyannote[4415].speaker SPEAKER_10
transcript.pyannote[4415].start 26148.21471875
transcript.pyannote[4415].end 26151.85971875
transcript.pyannote[4416].speaker SPEAKER_10
transcript.pyannote[4416].start 26152.23096875
transcript.pyannote[4416].end 26153.76659375
transcript.pyannote[4417].speaker SPEAKER_10
transcript.pyannote[4417].start 26154.35721875
transcript.pyannote[4417].end 26158.57596875
transcript.pyannote[4418].speaker SPEAKER_15
transcript.pyannote[4418].start 26158.89659375
transcript.pyannote[4418].end 26159.95971875
transcript.pyannote[4419].speaker SPEAKER_10
transcript.pyannote[4419].start 26159.70659375
transcript.pyannote[4419].end 26160.51659375
transcript.pyannote[4420].speaker SPEAKER_37
transcript.pyannote[4420].start 26160.51659375
transcript.pyannote[4420].end 26160.58409375
transcript.pyannote[4421].speaker SPEAKER_37
transcript.pyannote[4421].start 26161.36034375
transcript.pyannote[4421].end 26165.56221875
transcript.pyannote[4422].speaker SPEAKER_37
transcript.pyannote[4422].start 26168.70096875
transcript.pyannote[4422].end 26172.97034375
transcript.pyannote[4423].speaker SPEAKER_24
transcript.pyannote[4423].start 26188.81596875
transcript.pyannote[4423].end 26190.72284375
transcript.pyannote[4424].speaker SPEAKER_37
transcript.pyannote[4424].start 26190.82409375
transcript.pyannote[4424].end 26192.19096875
transcript.pyannote[4425].speaker SPEAKER_24
transcript.pyannote[4425].start 26191.33034375
transcript.pyannote[4425].end 26191.38096875
transcript.pyannote[4426].speaker SPEAKER_21
transcript.pyannote[4426].start 26198.90721875
transcript.pyannote[4426].end 26199.64971875
transcript.pyannote[4427].speaker SPEAKER_21
transcript.pyannote[4427].start 26200.40909375
transcript.pyannote[4427].end 26200.57784375
transcript.pyannote[4428].speaker SPEAKER_37
transcript.pyannote[4428].start 26200.88159375
transcript.pyannote[4428].end 26202.29909375
transcript.pyannote[4429].speaker SPEAKER_21
transcript.pyannote[4429].start 26203.15971875
transcript.pyannote[4429].end 26204.42534375
transcript.pyannote[4430].speaker SPEAKER_21
transcript.pyannote[4430].start 26204.47596875
transcript.pyannote[4430].end 26206.45034375
transcript.pyannote[4431].speaker SPEAKER_24
transcript.pyannote[4431].start 26204.57721875
transcript.pyannote[4431].end 26205.30284375
transcript.pyannote[4432].speaker SPEAKER_24
transcript.pyannote[4432].start 26206.45034375
transcript.pyannote[4432].end 26206.48409375
transcript.pyannote[4433].speaker SPEAKER_24
transcript.pyannote[4433].start 26206.65284375
transcript.pyannote[4433].end 26206.70346875
transcript.pyannote[4434].speaker SPEAKER_24
transcript.pyannote[4434].start 26207.12534375
transcript.pyannote[4434].end 26208.20534375
transcript.pyannote[4435].speaker SPEAKER_21
transcript.pyannote[4435].start 26208.76221875
transcript.pyannote[4435].end 26208.77909375
transcript.pyannote[4436].speaker SPEAKER_24
transcript.pyannote[4436].start 26208.77909375
transcript.pyannote[4436].end 26211.52971875
transcript.pyannote[4437].speaker SPEAKER_24
transcript.pyannote[4437].start 26212.23846875
transcript.pyannote[4437].end 26220.54096875
transcript.pyannote[4438].speaker SPEAKER_24
transcript.pyannote[4438].start 26221.06409375
transcript.pyannote[4438].end 26225.11409375
transcript.pyannote[4439].speaker SPEAKER_24
transcript.pyannote[4439].start 26225.78909375
transcript.pyannote[4439].end 26229.13034375
transcript.pyannote[4440].speaker SPEAKER_24
transcript.pyannote[4440].start 26230.17659375
transcript.pyannote[4440].end 26233.61909375
transcript.pyannote[4441].speaker SPEAKER_24
transcript.pyannote[4441].start 26234.19284375
transcript.pyannote[4441].end 26236.36971875
transcript.pyannote[4442].speaker SPEAKER_24
transcript.pyannote[4442].start 26236.94346875
transcript.pyannote[4442].end 26240.80784375
transcript.pyannote[4443].speaker SPEAKER_24
transcript.pyannote[4443].start 26241.44909375
transcript.pyannote[4443].end 26249.04284375
transcript.pyannote[4444].speaker SPEAKER_24
transcript.pyannote[4444].start 26249.63346875
transcript.pyannote[4444].end 26262.32346875
transcript.pyannote[4445].speaker SPEAKER_24
transcript.pyannote[4445].start 26262.79596875
transcript.pyannote[4445].end 26266.00221875
transcript.pyannote[4446].speaker SPEAKER_24
transcript.pyannote[4446].start 26266.57596875
transcript.pyannote[4446].end 26271.16596875
transcript.pyannote[4447].speaker SPEAKER_24
transcript.pyannote[4447].start 26271.62159375
transcript.pyannote[4447].end 26274.67596875
transcript.pyannote[4448].speaker SPEAKER_24
transcript.pyannote[4448].start 26275.26659375
transcript.pyannote[4448].end 26277.51096875
transcript.pyannote[4449].speaker SPEAKER_24
transcript.pyannote[4449].start 26278.08471875
transcript.pyannote[4449].end 26281.32471875
transcript.pyannote[4450].speaker SPEAKER_24
transcript.pyannote[4450].start 26281.76346875
transcript.pyannote[4450].end 26282.60721875
transcript.pyannote[4451].speaker SPEAKER_24
transcript.pyannote[4451].start 26283.40034375
transcript.pyannote[4451].end 26287.50096875
transcript.pyannote[4452].speaker SPEAKER_24
transcript.pyannote[4452].start 26288.10846875
transcript.pyannote[4452].end 26290.52159375
transcript.pyannote[4453].speaker SPEAKER_24
transcript.pyannote[4453].start 26290.87596875
transcript.pyannote[4453].end 26292.96846875
transcript.pyannote[4454].speaker SPEAKER_24
transcript.pyannote[4454].start 26293.40721875
transcript.pyannote[4454].end 26296.74846875
transcript.pyannote[4455].speaker SPEAKER_16
transcript.pyannote[4455].start 26293.60971875
transcript.pyannote[4455].end 26293.66034375
transcript.pyannote[4456].speaker SPEAKER_24
transcript.pyannote[4456].start 26297.15346875
transcript.pyannote[4456].end 26299.46534375
transcript.pyannote[4457].speaker SPEAKER_24
transcript.pyannote[4457].start 26299.90409375
transcript.pyannote[4457].end 26300.88284375
transcript.pyannote[4458].speaker SPEAKER_24
transcript.pyannote[4458].start 26301.27096875
transcript.pyannote[4458].end 26302.21596875
transcript.pyannote[4459].speaker SPEAKER_24
transcript.pyannote[4459].start 26302.43534375
transcript.pyannote[4459].end 26310.19784375
transcript.pyannote[4460].speaker SPEAKER_24
transcript.pyannote[4460].start 26310.67034375
transcript.pyannote[4460].end 26313.47159375
transcript.pyannote[4461].speaker SPEAKER_24
transcript.pyannote[4461].start 26313.89346875
transcript.pyannote[4461].end 26324.01846875
transcript.pyannote[4462].speaker SPEAKER_24
transcript.pyannote[4462].start 26324.22096875
transcript.pyannote[4462].end 26326.70159375
transcript.pyannote[4463].speaker SPEAKER_24
transcript.pyannote[4463].start 26326.85346875
transcript.pyannote[4463].end 26331.73034375
transcript.pyannote[4464].speaker SPEAKER_24
transcript.pyannote[4464].start 26332.11846875
transcript.pyannote[4464].end 26334.85221875
transcript.pyannote[4465].speaker SPEAKER_24
transcript.pyannote[4465].start 26335.40909375
transcript.pyannote[4465].end 26344.45409375
transcript.pyannote[4466].speaker SPEAKER_26
transcript.pyannote[4466].start 26344.77471875
transcript.pyannote[4466].end 26346.09096875
transcript.pyannote[4467].speaker SPEAKER_26
transcript.pyannote[4467].start 26346.86721875
transcript.pyannote[4467].end 26347.89659375
transcript.pyannote[4468].speaker SPEAKER_26
transcript.pyannote[4468].start 26349.65159375
transcript.pyannote[4468].end 26350.57971875
transcript.pyannote[4469].speaker SPEAKER_26
transcript.pyannote[4469].start 26351.00159375
transcript.pyannote[4469].end 26361.36284375
transcript.pyannote[4470].speaker SPEAKER_21
transcript.pyannote[4470].start 26353.63409375
transcript.pyannote[4470].end 26353.97159375
transcript.pyannote[4471].speaker SPEAKER_00
transcript.pyannote[4471].start 26353.97159375
transcript.pyannote[4471].end 26354.07284375
transcript.pyannote[4472].speaker SPEAKER_00
transcript.pyannote[4472].start 26357.00909375
transcript.pyannote[4472].end 26357.02596875
transcript.pyannote[4473].speaker SPEAKER_18
transcript.pyannote[4473].start 26357.02596875
transcript.pyannote[4473].end 26357.04284375
transcript.pyannote[4474].speaker SPEAKER_24
transcript.pyannote[4474].start 26357.04284375
transcript.pyannote[4474].end 26357.24534375
transcript.pyannote[4475].speaker SPEAKER_18
transcript.pyannote[4475].start 26357.24534375
transcript.pyannote[4475].end 26357.26221875
transcript.pyannote[4476].speaker SPEAKER_26
transcript.pyannote[4476].start 26361.61596875
transcript.pyannote[4476].end 26364.80534375
transcript.pyannote[4477].speaker SPEAKER_26
transcript.pyannote[4477].start 26364.92346875
transcript.pyannote[4477].end 26365.90221875
transcript.pyannote[4478].speaker SPEAKER_26
transcript.pyannote[4478].start 26366.05409375
transcript.pyannote[4478].end 26367.11721875
transcript.pyannote[4479].speaker SPEAKER_26
transcript.pyannote[4479].start 26367.57284375
transcript.pyannote[4479].end 26370.71159375
transcript.pyannote[4480].speaker SPEAKER_26
transcript.pyannote[4480].start 26370.94784375
transcript.pyannote[4480].end 26373.52971875
transcript.pyannote[4481].speaker SPEAKER_36
transcript.pyannote[4481].start 26371.06596875
transcript.pyannote[4481].end 26371.28534375
transcript.pyannote[4482].speaker SPEAKER_26
transcript.pyannote[4482].start 26373.76596875
transcript.pyannote[4482].end 26376.93846875
transcript.pyannote[4483].speaker SPEAKER_26
transcript.pyannote[4483].start 26377.27596875
transcript.pyannote[4483].end 26387.99159375
transcript.pyannote[4484].speaker SPEAKER_24
transcript.pyannote[4484].start 26377.79909375
transcript.pyannote[4484].end 26378.11971875
transcript.pyannote[4485].speaker SPEAKER_24
transcript.pyannote[4485].start 26384.83596875
transcript.pyannote[4485].end 26385.56159375
transcript.pyannote[4486].speaker SPEAKER_24
transcript.pyannote[4486].start 26387.50221875
transcript.pyannote[4486].end 26394.67409375
transcript.pyannote[4487].speaker SPEAKER_26
transcript.pyannote[4487].start 26394.67409375
transcript.pyannote[4487].end 26394.89346875
transcript.pyannote[4488].speaker SPEAKER_24
transcript.pyannote[4488].start 26394.89346875
transcript.pyannote[4488].end 26414.70471875
transcript.pyannote[4489].speaker SPEAKER_24
transcript.pyannote[4489].start 26414.95784375
transcript.pyannote[4489].end 26416.12221875
transcript.pyannote[4490].speaker SPEAKER_24
transcript.pyannote[4490].start 26416.54409375
transcript.pyannote[4490].end 26419.04159375
transcript.pyannote[4491].speaker SPEAKER_24
transcript.pyannote[4491].start 26419.59846875
transcript.pyannote[4491].end 26420.17221875
transcript.pyannote[4492].speaker SPEAKER_26
transcript.pyannote[4492].start 26419.68284375
transcript.pyannote[4492].end 26428.45784375
transcript.pyannote[4493].speaker SPEAKER_24
transcript.pyannote[4493].start 26422.90596875
transcript.pyannote[4493].end 26423.54721875
transcript.pyannote[4494].speaker SPEAKER_24
transcript.pyannote[4494].start 26424.34034375
transcript.pyannote[4494].end 26425.84221875
transcript.pyannote[4495].speaker SPEAKER_26
transcript.pyannote[4495].start 26429.58846875
transcript.pyannote[4495].end 26432.82846875
transcript.pyannote[4496].speaker SPEAKER_25
transcript.pyannote[4496].start 26429.80784375
transcript.pyannote[4496].end 26430.02721875
transcript.pyannote[4497].speaker SPEAKER_24
transcript.pyannote[4497].start 26430.02721875
transcript.pyannote[4497].end 26430.65159375
transcript.pyannote[4498].speaker SPEAKER_25
transcript.pyannote[4498].start 26430.65159375
transcript.pyannote[4498].end 26430.70221875
transcript.pyannote[4499].speaker SPEAKER_36
transcript.pyannote[4499].start 26430.70221875
transcript.pyannote[4499].end 26430.83721875
transcript.pyannote[4500].speaker SPEAKER_26
transcript.pyannote[4500].start 26432.84534375
transcript.pyannote[4500].end 26439.54471875
transcript.pyannote[4501].speaker SPEAKER_24
transcript.pyannote[4501].start 26437.38471875
transcript.pyannote[4501].end 26443.71284375
transcript.pyannote[4502].speaker SPEAKER_24
transcript.pyannote[4502].start 26444.26971875
transcript.pyannote[4502].end 26453.63534375
transcript.pyannote[4503].speaker SPEAKER_08
transcript.pyannote[4503].start 26454.09096875
transcript.pyannote[4503].end 26454.20909375
transcript.pyannote[4504].speaker SPEAKER_08
transcript.pyannote[4504].start 26454.37784375
transcript.pyannote[4504].end 26459.64284375
transcript.pyannote[4505].speaker SPEAKER_08
transcript.pyannote[4505].start 26459.92971875
transcript.pyannote[4505].end 26465.80221875
transcript.pyannote[4506].speaker SPEAKER_24
transcript.pyannote[4506].start 26464.53659375
transcript.pyannote[4506].end 26471.69159375
transcript.pyannote[4507].speaker SPEAKER_26
transcript.pyannote[4507].start 26470.25721875
transcript.pyannote[4507].end 26489.78159375
transcript.pyannote[4508].speaker SPEAKER_24
transcript.pyannote[4508].start 26475.47159375
transcript.pyannote[4508].end 26476.01159375
transcript.pyannote[4509].speaker SPEAKER_24
transcript.pyannote[4509].start 26477.80034375
transcript.pyannote[4509].end 26478.25596875
transcript.pyannote[4510].speaker SPEAKER_24
transcript.pyannote[4510].start 26479.47096875
transcript.pyannote[4510].end 26482.27221875
transcript.pyannote[4511].speaker SPEAKER_24
transcript.pyannote[4511].start 26484.68534375
transcript.pyannote[4511].end 26484.92159375
transcript.pyannote[4512].speaker SPEAKER_26
transcript.pyannote[4512].start 26490.15284375
transcript.pyannote[4512].end 26502.57284375
transcript.pyannote[4513].speaker SPEAKER_27
transcript.pyannote[4513].start 26491.97534375
transcript.pyannote[4513].end 26492.68409375
transcript.pyannote[4514].speaker SPEAKER_24
transcript.pyannote[4514].start 26499.67034375
transcript.pyannote[4514].end 26500.10909375
transcript.pyannote[4515].speaker SPEAKER_24
transcript.pyannote[4515].start 26501.57721875
transcript.pyannote[4515].end 26505.35721875
transcript.pyannote[4516].speaker SPEAKER_26
transcript.pyannote[4516].start 26505.35721875
transcript.pyannote[4516].end 26505.89721875
transcript.pyannote[4517].speaker SPEAKER_24
transcript.pyannote[4517].start 26505.89721875
transcript.pyannote[4517].end 26506.97721875
transcript.pyannote[4518].speaker SPEAKER_26
transcript.pyannote[4518].start 26505.94784375
transcript.pyannote[4518].end 26508.63096875
transcript.pyannote[4519].speaker SPEAKER_24
transcript.pyannote[4519].start 26507.66909375
transcript.pyannote[4519].end 26508.34409375
transcript.pyannote[4520].speaker SPEAKER_24
transcript.pyannote[4520].start 26508.63096875
transcript.pyannote[4520].end 26508.96846875
transcript.pyannote[4521].speaker SPEAKER_26
transcript.pyannote[4521].start 26508.96846875
transcript.pyannote[4521].end 26515.61721875
transcript.pyannote[4522].speaker SPEAKER_24
transcript.pyannote[4522].start 26514.65534375
transcript.pyannote[4522].end 26519.05971875
transcript.pyannote[4523].speaker SPEAKER_26
transcript.pyannote[4523].start 26517.87846875
transcript.pyannote[4523].end 26526.31596875
transcript.pyannote[4524].speaker SPEAKER_24
transcript.pyannote[4524].start 26519.86971875
transcript.pyannote[4524].end 26520.27471875
transcript.pyannote[4525].speaker SPEAKER_24
transcript.pyannote[4525].start 26520.78096875
transcript.pyannote[4525].end 26520.79784375
transcript.pyannote[4526].speaker SPEAKER_24
transcript.pyannote[4526].start 26526.31596875
transcript.pyannote[4526].end 26535.41159375
transcript.pyannote[4527].speaker SPEAKER_24
transcript.pyannote[4527].start 26536.00221875
transcript.pyannote[4527].end 26537.16659375
transcript.pyannote[4528].speaker SPEAKER_24
transcript.pyannote[4528].start 26537.67284375
transcript.pyannote[4528].end 26539.76534375
transcript.pyannote[4529].speaker SPEAKER_24
transcript.pyannote[4529].start 26540.64284375
transcript.pyannote[4529].end 26550.56534375
transcript.pyannote[4530].speaker SPEAKER_26
transcript.pyannote[4530].start 26548.27034375
transcript.pyannote[4530].end 26549.82284375
transcript.pyannote[4531].speaker SPEAKER_26
transcript.pyannote[4531].start 26549.85659375
transcript.pyannote[4531].end 26549.87346875
transcript.pyannote[4532].speaker SPEAKER_26
transcript.pyannote[4532].start 26549.95784375
transcript.pyannote[4532].end 26550.39659375
transcript.pyannote[4533].speaker SPEAKER_26
transcript.pyannote[4533].start 26550.56534375
transcript.pyannote[4533].end 26550.58221875
transcript.pyannote[4534].speaker SPEAKER_24
transcript.pyannote[4534].start 26550.58221875
transcript.pyannote[4534].end 26550.86909375
transcript.pyannote[4535].speaker SPEAKER_26
transcript.pyannote[4535].start 26550.86909375
transcript.pyannote[4535].end 26554.63221875
transcript.pyannote[4536].speaker SPEAKER_24
transcript.pyannote[4536].start 26554.63221875
transcript.pyannote[4536].end 26557.43346875
transcript.pyannote[4537].speaker SPEAKER_26
transcript.pyannote[4537].start 26555.30721875
transcript.pyannote[4537].end 26564.62221875
transcript.pyannote[4538].speaker SPEAKER_24
transcript.pyannote[4538].start 26558.93534375
transcript.pyannote[4538].end 26559.39096875
transcript.pyannote[4539].speaker SPEAKER_24
transcript.pyannote[4539].start 26565.65159375
transcript.pyannote[4539].end 26567.35596875
transcript.pyannote[4540].speaker SPEAKER_24
transcript.pyannote[4540].start 26568.19971875
transcript.pyannote[4540].end 26570.66346875
transcript.pyannote[4541].speaker SPEAKER_24
transcript.pyannote[4541].start 26571.06846875
transcript.pyannote[4541].end 26572.18221875
transcript.pyannote[4542].speaker SPEAKER_24
transcript.pyannote[4542].start 26572.63784375
transcript.pyannote[4542].end 26581.96971875
transcript.pyannote[4543].speaker SPEAKER_24
transcript.pyannote[4543].start 26582.81346875
transcript.pyannote[4543].end 26587.13346875
transcript.pyannote[4544].speaker SPEAKER_24
transcript.pyannote[4544].start 26587.75784375
transcript.pyannote[4544].end 26588.16284375
transcript.pyannote[4545].speaker SPEAKER_24
transcript.pyannote[4545].start 26588.66909375
transcript.pyannote[4545].end 26589.59721875
transcript.pyannote[4546].speaker SPEAKER_24
transcript.pyannote[4546].start 26590.01909375
transcript.pyannote[4546].end 26591.62221875
transcript.pyannote[4547].speaker SPEAKER_24
transcript.pyannote[4547].start 26592.17909375
transcript.pyannote[4547].end 26595.35159375
transcript.pyannote[4548].speaker SPEAKER_24
transcript.pyannote[4548].start 26596.04346875
transcript.pyannote[4548].end 26597.71409375
transcript.pyannote[4549].speaker SPEAKER_24
transcript.pyannote[4549].start 26598.11909375
transcript.pyannote[4549].end 26598.91221875
transcript.pyannote[4550].speaker SPEAKER_24
transcript.pyannote[4550].start 26599.09784375
transcript.pyannote[4550].end 26600.53221875
transcript.pyannote[4551].speaker SPEAKER_24
transcript.pyannote[4551].start 26601.76409375
transcript.pyannote[4551].end 26604.64971875
transcript.pyannote[4552].speaker SPEAKER_24
transcript.pyannote[4552].start 26605.91534375
transcript.pyannote[4552].end 26608.07534375
transcript.pyannote[4553].speaker SPEAKER_24
transcript.pyannote[4553].start 26608.27784375
transcript.pyannote[4553].end 26609.27346875
transcript.pyannote[4554].speaker SPEAKER_24
transcript.pyannote[4554].start 26610.89346875
transcript.pyannote[4554].end 26611.78784375
transcript.pyannote[4555].speaker SPEAKER_24
transcript.pyannote[4555].start 26612.95221875
transcript.pyannote[4555].end 26614.01534375
transcript.pyannote[4556].speaker SPEAKER_24
transcript.pyannote[4556].start 26614.42034375
transcript.pyannote[4556].end 26616.09096875
transcript.pyannote[4557].speaker SPEAKER_24
transcript.pyannote[4557].start 26616.56346875
transcript.pyannote[4557].end 26617.87971875
transcript.pyannote[4558].speaker SPEAKER_24
transcript.pyannote[4558].start 26618.35221875
transcript.pyannote[4558].end 26619.39846875
transcript.pyannote[4559].speaker SPEAKER_24
transcript.pyannote[4559].start 26620.07346875
transcript.pyannote[4559].end 26621.13659375
transcript.pyannote[4560].speaker SPEAKER_24
transcript.pyannote[4560].start 26621.15346875
transcript.pyannote[4560].end 26622.01409375
transcript.pyannote[4561].speaker SPEAKER_24
transcript.pyannote[4561].start 26623.33034375
transcript.pyannote[4561].end 26624.84909375
transcript.pyannote[4562].speaker SPEAKER_24
transcript.pyannote[4562].start 26625.64221875
transcript.pyannote[4562].end 26626.53659375
transcript.pyannote[4563].speaker SPEAKER_24
transcript.pyannote[4563].start 26626.95846875
transcript.pyannote[4563].end 26631.31221875
transcript.pyannote[4564].speaker SPEAKER_24
transcript.pyannote[4564].start 26632.62846875
transcript.pyannote[4564].end 26635.71659375
transcript.pyannote[4565].speaker SPEAKER_24
transcript.pyannote[4565].start 26635.90221875
transcript.pyannote[4565].end 26646.21284375
transcript.pyannote[4566].speaker SPEAKER_24
transcript.pyannote[4566].start 26646.53346875
transcript.pyannote[4566].end 26664.45471875
transcript.pyannote[4567].speaker SPEAKER_24
transcript.pyannote[4567].start 26664.64034375
transcript.pyannote[4567].end 26669.28096875
transcript.pyannote[4568].speaker SPEAKER_24
transcript.pyannote[4568].start 26669.48346875
transcript.pyannote[4568].end 26671.01909375
transcript.pyannote[4569].speaker SPEAKER_24
transcript.pyannote[4569].start 26671.08659375
transcript.pyannote[4569].end 26673.98909375
transcript.pyannote[4570].speaker SPEAKER_24
transcript.pyannote[4570].start 26674.90034375
transcript.pyannote[4570].end 26683.06784375
transcript.pyannote[4571].speaker SPEAKER_24
transcript.pyannote[4571].start 26683.32096875
transcript.pyannote[4571].end 26689.07534375
transcript.pyannote[4572].speaker SPEAKER_24
transcript.pyannote[4572].start 26689.66596875
transcript.pyannote[4572].end 26692.43346875
transcript.pyannote[4573].speaker SPEAKER_25
transcript.pyannote[4573].start 26694.13784375
transcript.pyannote[4573].end 26705.89971875
transcript.pyannote[4574].speaker SPEAKER_24
transcript.pyannote[4574].start 26699.53784375
transcript.pyannote[4574].end 26699.67284375
transcript.pyannote[4575].speaker SPEAKER_24
transcript.pyannote[4575].start 26705.93346875
transcript.pyannote[4575].end 26724.27659375
transcript.pyannote[4576].speaker SPEAKER_00
transcript.pyannote[4576].start 26716.41284375
transcript.pyannote[4576].end 26716.56471875
transcript.pyannote[4577].speaker SPEAKER_36
transcript.pyannote[4577].start 26716.56471875
transcript.pyannote[4577].end 26716.71659375
transcript.pyannote[4578].speaker SPEAKER_00
transcript.pyannote[4578].start 26716.71659375
transcript.pyannote[4578].end 26716.78409375
transcript.pyannote[4579].speaker SPEAKER_24
transcript.pyannote[4579].start 26724.74909375
transcript.pyannote[4579].end 26728.00596875
transcript.pyannote[4580].speaker SPEAKER_24
transcript.pyannote[4580].start 26728.56284375
transcript.pyannote[4580].end 26737.03409375
transcript.pyannote[4581].speaker SPEAKER_25
transcript.pyannote[4581].start 26737.03409375
transcript.pyannote[4581].end 26738.24909375
transcript.pyannote[4582].speaker SPEAKER_24
transcript.pyannote[4582].start 26737.81034375
transcript.pyannote[4582].end 26738.35034375
transcript.pyannote[4583].speaker SPEAKER_25
transcript.pyannote[4583].start 26738.35034375
transcript.pyannote[4583].end 26738.83971875
transcript.pyannote[4584].speaker SPEAKER_24
transcript.pyannote[4584].start 26738.56971875
transcript.pyannote[4584].end 26749.97721875
transcript.pyannote[4585].speaker SPEAKER_08
transcript.pyannote[4585].start 26749.97721875
transcript.pyannote[4585].end 26750.90534375
transcript.pyannote[4586].speaker SPEAKER_24
transcript.pyannote[4586].start 26750.90534375
transcript.pyannote[4586].end 26750.93909375
transcript.pyannote[4587].speaker SPEAKER_36
transcript.pyannote[4587].start 26750.93909375
transcript.pyannote[4587].end 26751.34409375
transcript.pyannote[4588].speaker SPEAKER_08
transcript.pyannote[4588].start 26751.10784375
transcript.pyannote[4588].end 26773.02846875
transcript.pyannote[4589].speaker SPEAKER_24
transcript.pyannote[4589].start 26773.02846875
transcript.pyannote[4589].end 26779.50846875
transcript.pyannote[4590].speaker SPEAKER_24
transcript.pyannote[4590].start 26779.77846875
transcript.pyannote[4590].end 26781.65159375
transcript.pyannote[4591].speaker SPEAKER_24
transcript.pyannote[4591].start 26781.82034375
transcript.pyannote[4591].end 26782.30971875
transcript.pyannote[4592].speaker SPEAKER_24
transcript.pyannote[4592].start 26782.51221875
transcript.pyannote[4592].end 26790.78096875
transcript.pyannote[4593].speaker SPEAKER_24
transcript.pyannote[4593].start 26791.20284375
transcript.pyannote[4593].end 26792.21534375
transcript.pyannote[4594].speaker SPEAKER_24
transcript.pyannote[4594].start 26792.60346875
transcript.pyannote[4594].end 26812.02659375
transcript.pyannote[4595].speaker SPEAKER_24
transcript.pyannote[4595].start 26812.56659375
transcript.pyannote[4595].end 26822.91096875
transcript.pyannote[4596].speaker SPEAKER_24
transcript.pyannote[4596].start 26823.21471875
transcript.pyannote[4596].end 26823.75471875
transcript.pyannote[4597].speaker SPEAKER_24
transcript.pyannote[4597].start 26824.37909375
transcript.pyannote[4597].end 26825.88096875
transcript.pyannote[4598].speaker SPEAKER_24
transcript.pyannote[4598].start 26826.13409375
transcript.pyannote[4598].end 26828.74971875
transcript.pyannote[4599].speaker SPEAKER_24
transcript.pyannote[4599].start 26829.30659375
transcript.pyannote[4599].end 26830.69034375
transcript.pyannote[4600].speaker SPEAKER_24
transcript.pyannote[4600].start 26831.12909375
transcript.pyannote[4600].end 26832.02346875
transcript.pyannote[4601].speaker SPEAKER_24
transcript.pyannote[4601].start 26832.36096875
transcript.pyannote[4601].end 26847.68346875
transcript.pyannote[4602].speaker SPEAKER_24
transcript.pyannote[4602].start 26848.35846875
transcript.pyannote[4602].end 26855.22659375
transcript.pyannote[4603].speaker SPEAKER_24
transcript.pyannote[4603].start 26855.96909375
transcript.pyannote[4603].end 26858.88846875
transcript.pyannote[4604].speaker SPEAKER_24
transcript.pyannote[4604].start 26859.73221875
transcript.pyannote[4604].end 26863.34346875
transcript.pyannote[4605].speaker SPEAKER_24
transcript.pyannote[4605].start 26863.44471875
transcript.pyannote[4605].end 26865.16596875
transcript.pyannote[4606].speaker SPEAKER_24
transcript.pyannote[4606].start 26865.87471875
transcript.pyannote[4606].end 26866.87034375
transcript.pyannote[4607].speaker SPEAKER_24
transcript.pyannote[4607].start 26867.64659375
transcript.pyannote[4607].end 26871.56159375
transcript.pyannote[4608].speaker SPEAKER_24
transcript.pyannote[4608].start 26871.81471875
transcript.pyannote[4608].end 26873.83971875
transcript.pyannote[4609].speaker SPEAKER_24
transcript.pyannote[4609].start 26873.97471875
transcript.pyannote[4609].end 26876.52284375
transcript.pyannote[4610].speaker SPEAKER_24
transcript.pyannote[4610].start 26877.36659375
transcript.pyannote[4610].end 26879.13846875
transcript.pyannote[4611].speaker SPEAKER_24
transcript.pyannote[4611].start 26880.15096875
transcript.pyannote[4611].end 26882.26034375
transcript.pyannote[4612].speaker SPEAKER_24
transcript.pyannote[4612].start 26882.85096875
transcript.pyannote[4612].end 26885.33159375
transcript.pyannote[4613].speaker SPEAKER_24
transcript.pyannote[4613].start 26885.90534375
transcript.pyannote[4613].end 26888.95971875
transcript.pyannote[4614].speaker SPEAKER_24
transcript.pyannote[4614].start 26889.58409375
transcript.pyannote[4614].end 26892.52034375
transcript.pyannote[4615].speaker SPEAKER_24
transcript.pyannote[4615].start 26893.17846875
transcript.pyannote[4615].end 26895.43971875
transcript.pyannote[4616].speaker SPEAKER_24
transcript.pyannote[4616].start 26896.28346875
transcript.pyannote[4616].end 26897.14409375
transcript.pyannote[4617].speaker SPEAKER_24
transcript.pyannote[4617].start 26897.86971875
transcript.pyannote[4617].end 26902.61159375
transcript.pyannote[4618].speaker SPEAKER_24
transcript.pyannote[4618].start 26903.45534375
transcript.pyannote[4618].end 26906.86409375
transcript.pyannote[4619].speaker SPEAKER_24
transcript.pyannote[4619].start 26907.20159375
transcript.pyannote[4619].end 26912.44971875
transcript.pyannote[4620].speaker SPEAKER_24
transcript.pyannote[4620].start 26912.97284375
transcript.pyannote[4620].end 26916.14534375
transcript.pyannote[4621].speaker SPEAKER_24
transcript.pyannote[4621].start 26916.95534375
transcript.pyannote[4621].end 26920.71846875
transcript.pyannote[4622].speaker SPEAKER_24
transcript.pyannote[4622].start 26921.07284375
transcript.pyannote[4622].end 26922.55784375
transcript.pyannote[4623].speaker SPEAKER_24
transcript.pyannote[4623].start 26923.41846875
transcript.pyannote[4623].end 26925.57846875
transcript.pyannote[4624].speaker SPEAKER_24
transcript.pyannote[4624].start 26926.06784375
transcript.pyannote[4624].end 26926.54034375
transcript.pyannote[4625].speaker SPEAKER_24
transcript.pyannote[4625].start 26926.82721875
transcript.pyannote[4625].end 26928.85221875
transcript.pyannote[4626].speaker SPEAKER_24
transcript.pyannote[4626].start 26929.22346875
transcript.pyannote[4626].end 26930.13471875
transcript.pyannote[4627].speaker SPEAKER_24
transcript.pyannote[4627].start 26930.84346875
transcript.pyannote[4627].end 26932.27784375
transcript.pyannote[4628].speaker SPEAKER_24
transcript.pyannote[4628].start 26933.25659375
transcript.pyannote[4628].end 26934.38721875
transcript.pyannote[4629].speaker SPEAKER_24
transcript.pyannote[4629].start 26935.01159375
transcript.pyannote[4629].end 26935.02846875
transcript.pyannote[4630].speaker SPEAKER_38
transcript.pyannote[4630].start 26935.02846875
transcript.pyannote[4630].end 26935.60221875
transcript.pyannote[4631].speaker SPEAKER_38
transcript.pyannote[4631].start 26936.17596875
transcript.pyannote[4631].end 26941.17096875
transcript.pyannote[4632].speaker SPEAKER_38
transcript.pyannote[4632].start 26941.37346875
transcript.pyannote[4632].end 26950.55346875
transcript.pyannote[4633].speaker SPEAKER_38
transcript.pyannote[4633].start 26950.89096875
transcript.pyannote[4633].end 26963.96909375
transcript.pyannote[4634].speaker SPEAKER_24
transcript.pyannote[4634].start 26956.24034375
transcript.pyannote[4634].end 26956.30784375
transcript.pyannote[4635].speaker SPEAKER_08
transcript.pyannote[4635].start 26956.30784375
transcript.pyannote[4635].end 26956.39221875
transcript.pyannote[4636].speaker SPEAKER_24
transcript.pyannote[4636].start 26956.39221875
transcript.pyannote[4636].end 26956.96596875
transcript.pyannote[4637].speaker SPEAKER_09
transcript.pyannote[4637].start 26956.96596875
transcript.pyannote[4637].end 26957.03346875
transcript.pyannote[4638].speaker SPEAKER_24
transcript.pyannote[4638].start 26957.03346875
transcript.pyannote[4638].end 26958.24846875
transcript.pyannote[4639].speaker SPEAKER_24
transcript.pyannote[4639].start 26959.00784375
transcript.pyannote[4639].end 26960.07096875
transcript.pyannote[4640].speaker SPEAKER_24
transcript.pyannote[4640].start 26960.71221875
transcript.pyannote[4640].end 26962.33221875
transcript.pyannote[4641].speaker SPEAKER_24
transcript.pyannote[4641].start 26963.96909375
transcript.pyannote[4641].end 26976.82784375
transcript.pyannote[4642].speaker SPEAKER_38
transcript.pyannote[4642].start 26964.08721875
transcript.pyannote[4642].end 26964.89721875
transcript.pyannote[4643].speaker SPEAKER_38
transcript.pyannote[4643].start 26966.38221875
transcript.pyannote[4643].end 26966.53409375
transcript.pyannote[4644].speaker SPEAKER_24
transcript.pyannote[4644].start 26976.89534375
transcript.pyannote[4644].end 26991.25596875
transcript.pyannote[4645].speaker SPEAKER_24
transcript.pyannote[4645].start 26991.54284375
transcript.pyannote[4645].end 26991.96471875
transcript.pyannote[4646].speaker SPEAKER_38
transcript.pyannote[4646].start 26991.96471875
transcript.pyannote[4646].end 26992.01534375
transcript.pyannote[4647].speaker SPEAKER_24
transcript.pyannote[4647].start 26992.01534375
transcript.pyannote[4647].end 26992.85909375
transcript.pyannote[4648].speaker SPEAKER_38
transcript.pyannote[4648].start 26992.85909375
transcript.pyannote[4648].end 26992.87596875
transcript.pyannote[4649].speaker SPEAKER_24
transcript.pyannote[4649].start 26992.87596875
transcript.pyannote[4649].end 26992.90971875
transcript.pyannote[4650].speaker SPEAKER_24
transcript.pyannote[4650].start 26993.55096875
transcript.pyannote[4650].end 26994.42846875
transcript.pyannote[4651].speaker SPEAKER_24
transcript.pyannote[4651].start 26994.86721875
transcript.pyannote[4651].end 26995.57596875
transcript.pyannote[4652].speaker SPEAKER_24
transcript.pyannote[4652].start 26996.28471875
transcript.pyannote[4652].end 26998.69784375
transcript.pyannote[4653].speaker SPEAKER_24
transcript.pyannote[4653].start 26999.17034375
transcript.pyannote[4653].end 27005.09346875
transcript.pyannote[4654].speaker SPEAKER_24
transcript.pyannote[4654].start 27005.71784375
transcript.pyannote[4654].end 27010.79721875
transcript.pyannote[4655].speaker SPEAKER_24
transcript.pyannote[4655].start 27010.99971875
transcript.pyannote[4655].end 27015.72471875
transcript.pyannote[4656].speaker SPEAKER_38
transcript.pyannote[4656].start 27015.72471875
transcript.pyannote[4656].end 27015.74159375
transcript.pyannote[4657].speaker SPEAKER_38
transcript.pyannote[4657].start 27016.04534375
transcript.pyannote[4657].end 27016.85534375
transcript.pyannote[4658].speaker SPEAKER_38
transcript.pyannote[4658].start 27016.99034375
transcript.pyannote[4658].end 27058.70534375
transcript.pyannote[4659].speaker SPEAKER_00
transcript.pyannote[4659].start 27022.76159375
transcript.pyannote[4659].end 27022.99784375
transcript.pyannote[4660].speaker SPEAKER_36
transcript.pyannote[4660].start 27041.27346875
transcript.pyannote[4660].end 27041.34096875
transcript.pyannote[4661].speaker SPEAKER_00
transcript.pyannote[4661].start 27046.06596875
transcript.pyannote[4661].end 27046.08284375
transcript.pyannote[4662].speaker SPEAKER_36
transcript.pyannote[4662].start 27046.08284375
transcript.pyannote[4662].end 27046.15034375
transcript.pyannote[4663].speaker SPEAKER_00
transcript.pyannote[4663].start 27046.15034375
transcript.pyannote[4663].end 27046.28534375
transcript.pyannote[4664].speaker SPEAKER_24
transcript.pyannote[4664].start 27056.32596875
transcript.pyannote[4664].end 27069.23534375
transcript.pyannote[4665].speaker SPEAKER_24
transcript.pyannote[4665].start 27069.55596875
transcript.pyannote[4665].end 27071.71596875
transcript.pyannote[4666].speaker SPEAKER_24
transcript.pyannote[4666].start 27072.40784375
transcript.pyannote[4666].end 27078.29721875
transcript.pyannote[4667].speaker SPEAKER_24
transcript.pyannote[4667].start 27078.76971875
transcript.pyannote[4667].end 27081.97596875
transcript.pyannote[4668].speaker SPEAKER_24
transcript.pyannote[4668].start 27082.46534375
transcript.pyannote[4668].end 27085.19909375
transcript.pyannote[4669].speaker SPEAKER_24
transcript.pyannote[4669].start 27085.72221875
transcript.pyannote[4669].end 27108.63846875
transcript.pyannote[4670].speaker SPEAKER_41
transcript.pyannote[4670].start 27109.29659375
transcript.pyannote[4670].end 27110.81534375
transcript.pyannote[4671].speaker SPEAKER_37
transcript.pyannote[4671].start 27125.39534375
transcript.pyannote[4671].end 27129.76596875
transcript.pyannote[4672].speaker SPEAKER_37
transcript.pyannote[4672].start 27145.34159375
transcript.pyannote[4672].end 27147.90659375
transcript.pyannote[4673].speaker SPEAKER_37
transcript.pyannote[4673].start 27148.17659375
transcript.pyannote[4673].end 27149.64471875
transcript.pyannote[4674].speaker SPEAKER_31
transcript.pyannote[4674].start 27158.08221875
transcript.pyannote[4674].end 27160.61346875
transcript.pyannote[4675].speaker SPEAKER_31
transcript.pyannote[4675].start 27161.00159375
transcript.pyannote[4675].end 27162.31784375
transcript.pyannote[4676].speaker SPEAKER_37
transcript.pyannote[4676].start 27162.84096875
transcript.pyannote[4676].end 27164.83221875
transcript.pyannote[4677].speaker SPEAKER_37
transcript.pyannote[4677].start 27165.45659375
transcript.pyannote[4677].end 27166.30034375
transcript.pyannote[4678].speaker SPEAKER_32
transcript.pyannote[4678].start 27175.15971875
transcript.pyannote[4678].end 27178.60221875
transcript.pyannote[4679].speaker SPEAKER_32
transcript.pyannote[4679].start 27179.66534375
transcript.pyannote[4679].end 27180.74534375
transcript.pyannote[4680].speaker SPEAKER_32
transcript.pyannote[4680].start 27181.03221875
transcript.pyannote[4680].end 27181.90971875
transcript.pyannote[4681].speaker SPEAKER_32
transcript.pyannote[4681].start 27182.80409375
transcript.pyannote[4681].end 27183.71534375
transcript.pyannote[4682].speaker SPEAKER_32
transcript.pyannote[4682].start 27184.69409375
transcript.pyannote[4682].end 27185.65596875
transcript.pyannote[4683].speaker SPEAKER_32
transcript.pyannote[4683].start 27186.34784375
transcript.pyannote[4683].end 27188.74409375
transcript.pyannote[4684].speaker SPEAKER_32
transcript.pyannote[4684].start 27189.43596875
transcript.pyannote[4684].end 27192.81096875
transcript.pyannote[4685].speaker SPEAKER_32
transcript.pyannote[4685].start 27193.50284375
transcript.pyannote[4685].end 27194.92034375
transcript.pyannote[4686].speaker SPEAKER_32
transcript.pyannote[4686].start 27196.03409375
transcript.pyannote[4686].end 27198.17721875
transcript.pyannote[4687].speaker SPEAKER_31
transcript.pyannote[4687].start 27198.17721875
transcript.pyannote[4687].end 27198.58221875
transcript.pyannote[4688].speaker SPEAKER_32
transcript.pyannote[4688].start 27198.58221875
transcript.pyannote[4688].end 27199.32471875
transcript.pyannote[4689].speaker SPEAKER_32
transcript.pyannote[4689].start 27199.96596875
transcript.pyannote[4689].end 27201.09659375
transcript.pyannote[4690].speaker SPEAKER_32
transcript.pyannote[4690].start 27202.76721875
transcript.pyannote[4690].end 27205.29846875
transcript.pyannote[4691].speaker SPEAKER_32
transcript.pyannote[4691].start 27206.49659375
transcript.pyannote[4691].end 27210.68159375
transcript.pyannote[4692].speaker SPEAKER_32
transcript.pyannote[4692].start 27212.85846875
transcript.pyannote[4692].end 27219.01784375
transcript.pyannote[4693].speaker SPEAKER_32
transcript.pyannote[4693].start 27219.97971875
transcript.pyannote[4693].end 27221.53221875
transcript.pyannote[4694].speaker SPEAKER_10
transcript.pyannote[4694].start 27220.06409375
transcript.pyannote[4694].end 27220.43534375
transcript.pyannote[4695].speaker SPEAKER_10
transcript.pyannote[4695].start 27220.78971875
transcript.pyannote[4695].end 27224.63721875
transcript.pyannote[4696].speaker SPEAKER_10
transcript.pyannote[4696].start 27224.99159375
transcript.pyannote[4696].end 27226.27409375
transcript.pyannote[4697].speaker SPEAKER_10
transcript.pyannote[4697].start 27226.93221875
transcript.pyannote[4697].end 27228.13034375
transcript.pyannote[4698].speaker SPEAKER_00
transcript.pyannote[4698].start 27227.01659375
transcript.pyannote[4698].end 27227.05034375
transcript.pyannote[4699].speaker SPEAKER_36
transcript.pyannote[4699].start 27227.05034375
transcript.pyannote[4699].end 27227.30346875
transcript.pyannote[4700].speaker SPEAKER_00
transcript.pyannote[4700].start 27227.30346875
transcript.pyannote[4700].end 27227.33721875
transcript.pyannote[4701].speaker SPEAKER_10
transcript.pyannote[4701].start 27228.28221875
transcript.pyannote[4701].end 27229.48034375
transcript.pyannote[4702].speaker SPEAKER_10
transcript.pyannote[4702].start 27229.93596875
transcript.pyannote[4702].end 27231.11721875
transcript.pyannote[4703].speaker SPEAKER_10
transcript.pyannote[4703].start 27231.60659375
transcript.pyannote[4703].end 27234.49221875
transcript.pyannote[4704].speaker SPEAKER_10
transcript.pyannote[4704].start 27234.76221875
transcript.pyannote[4704].end 27236.11221875
transcript.pyannote[4705].speaker SPEAKER_10
transcript.pyannote[4705].start 27236.63534375
transcript.pyannote[4705].end 27237.41159375
transcript.pyannote[4706].speaker SPEAKER_10
transcript.pyannote[4706].start 27237.93471875
transcript.pyannote[4706].end 27239.68971875
transcript.pyannote[4707].speaker SPEAKER_10
transcript.pyannote[4707].start 27239.92596875
transcript.pyannote[4707].end 27240.97221875
transcript.pyannote[4708].speaker SPEAKER_10
transcript.pyannote[4708].start 27241.32659375
transcript.pyannote[4708].end 27243.52034375
transcript.pyannote[4709].speaker SPEAKER_10
transcript.pyannote[4709].start 27244.41471875
transcript.pyannote[4709].end 27247.57034375
transcript.pyannote[4710].speaker SPEAKER_10
transcript.pyannote[4710].start 27248.16096875
transcript.pyannote[4710].end 27252.64971875
transcript.pyannote[4711].speaker SPEAKER_32
transcript.pyannote[4711].start 27251.08034375
transcript.pyannote[4711].end 27251.11409375
transcript.pyannote[4712].speaker SPEAKER_21
transcript.pyannote[4712].start 27251.11409375
transcript.pyannote[4712].end 27251.45159375
transcript.pyannote[4713].speaker SPEAKER_00
transcript.pyannote[4713].start 27251.45159375
transcript.pyannote[4713].end 27251.51909375
transcript.pyannote[4714].speaker SPEAKER_10
transcript.pyannote[4714].start 27253.05471875
transcript.pyannote[4714].end 27256.14284375
transcript.pyannote[4715].speaker SPEAKER_32
transcript.pyannote[4715].start 27256.73346875
transcript.pyannote[4715].end 27259.93971875
transcript.pyannote[4716].speaker SPEAKER_32
transcript.pyannote[4716].start 27260.47971875
transcript.pyannote[4716].end 27262.42034375
transcript.pyannote[4717].speaker SPEAKER_32
transcript.pyannote[4717].start 27263.11221875
transcript.pyannote[4717].end 27264.56346875
transcript.pyannote[4718].speaker SPEAKER_32
transcript.pyannote[4718].start 27264.95159375
transcript.pyannote[4718].end 27273.23721875
transcript.pyannote[4719].speaker SPEAKER_32
transcript.pyannote[4719].start 27273.25409375
transcript.pyannote[4719].end 27276.66284375
transcript.pyannote[4720].speaker SPEAKER_10
transcript.pyannote[4720].start 27277.16909375
transcript.pyannote[4720].end 27280.44284375
transcript.pyannote[4721].speaker SPEAKER_10
transcript.pyannote[4721].start 27280.66221875
transcript.pyannote[4721].end 27280.96596875
transcript.pyannote[4722].speaker SPEAKER_10
transcript.pyannote[4722].start 27281.47221875
transcript.pyannote[4722].end 27281.97846875
transcript.pyannote[4723].speaker SPEAKER_32
transcript.pyannote[4723].start 27283.22721875
transcript.pyannote[4723].end 27285.62346875
transcript.pyannote[4724].speaker SPEAKER_32
transcript.pyannote[4724].start 27285.92721875
transcript.pyannote[4724].end 27291.90096875
transcript.pyannote[4725].speaker SPEAKER_32
transcript.pyannote[4725].start 27292.55909375
transcript.pyannote[4725].end 27293.14971875
transcript.pyannote[4726].speaker SPEAKER_32
transcript.pyannote[4726].start 27293.92596875
transcript.pyannote[4726].end 27295.90034375
transcript.pyannote[4727].speaker SPEAKER_32
transcript.pyannote[4727].start 27296.17034375
transcript.pyannote[4727].end 27297.11534375
transcript.pyannote[4728].speaker SPEAKER_32
transcript.pyannote[4728].start 27297.43596875
transcript.pyannote[4728].end 27298.38096875
transcript.pyannote[4729].speaker SPEAKER_32
transcript.pyannote[4729].start 27298.90409375
transcript.pyannote[4729].end 27299.61284375
transcript.pyannote[4730].speaker SPEAKER_32
transcript.pyannote[4730].start 27299.88284375
transcript.pyannote[4730].end 27304.06784375
transcript.pyannote[4731].speaker SPEAKER_32
transcript.pyannote[4731].start 27304.89471875
transcript.pyannote[4731].end 27305.51909375
transcript.pyannote[4732].speaker SPEAKER_32
transcript.pyannote[4732].start 27306.17721875
transcript.pyannote[4732].end 27308.06721875
transcript.pyannote[4733].speaker SPEAKER_32
transcript.pyannote[4733].start 27309.82221875
transcript.pyannote[4733].end 27310.58159375
transcript.pyannote[4734].speaker SPEAKER_32
transcript.pyannote[4734].start 27311.13846875
transcript.pyannote[4734].end 27312.82596875
transcript.pyannote[4735].speaker SPEAKER_32
transcript.pyannote[4735].start 27313.70346875
transcript.pyannote[4735].end 27315.66096875
transcript.pyannote[4736].speaker SPEAKER_32
transcript.pyannote[4736].start 27316.63971875
transcript.pyannote[4736].end 27318.71534375
transcript.pyannote[4737].speaker SPEAKER_32
transcript.pyannote[4737].start 27319.27221875
transcript.pyannote[4737].end 27321.12846875
transcript.pyannote[4738].speaker SPEAKER_32
transcript.pyannote[4738].start 27321.88784375
transcript.pyannote[4738].end 27322.64721875
transcript.pyannote[4739].speaker SPEAKER_32
transcript.pyannote[4739].start 27323.92971875
transcript.pyannote[4739].end 27324.85784375
transcript.pyannote[4740].speaker SPEAKER_32
transcript.pyannote[4740].start 27325.21221875
transcript.pyannote[4740].end 27327.11909375
transcript.pyannote[4741].speaker SPEAKER_32
transcript.pyannote[4741].start 27327.74346875
transcript.pyannote[4741].end 27329.39721875
transcript.pyannote[4742].speaker SPEAKER_32
transcript.pyannote[4742].start 27331.43909375
transcript.pyannote[4742].end 27332.01284375
transcript.pyannote[4743].speaker SPEAKER_32
transcript.pyannote[4743].start 27332.33346875
transcript.pyannote[4743].end 27332.87346875
transcript.pyannote[4744].speaker SPEAKER_32
transcript.pyannote[4744].start 27333.31221875
transcript.pyannote[4744].end 27334.03784375
transcript.pyannote[4745].speaker SPEAKER_32
transcript.pyannote[4745].start 27334.64534375
transcript.pyannote[4745].end 27335.05034375
transcript.pyannote[4746].speaker SPEAKER_32
transcript.pyannote[4746].start 27335.74221875
transcript.pyannote[4746].end 27336.63659375
transcript.pyannote[4747].speaker SPEAKER_38
transcript.pyannote[4747].start 27336.88971875
transcript.pyannote[4747].end 27337.27784375
transcript.pyannote[4748].speaker SPEAKER_32
transcript.pyannote[4748].start 27337.69971875
transcript.pyannote[4748].end 27339.10034375
transcript.pyannote[4749].speaker SPEAKER_32
transcript.pyannote[4749].start 27340.51784375
transcript.pyannote[4749].end 27342.03659375
transcript.pyannote[4750].speaker SPEAKER_32
transcript.pyannote[4750].start 27343.13346875
transcript.pyannote[4750].end 27346.03596875
transcript.pyannote[4751].speaker SPEAKER_32
transcript.pyannote[4751].start 27346.37346875
transcript.pyannote[4751].end 27347.28471875
transcript.pyannote[4752].speaker SPEAKER_38
transcript.pyannote[4752].start 27346.49159375
transcript.pyannote[4752].end 27347.03159375
transcript.pyannote[4753].speaker SPEAKER_38
transcript.pyannote[4753].start 27347.28471875
transcript.pyannote[4753].end 27347.35221875
transcript.pyannote[4754].speaker SPEAKER_32
transcript.pyannote[4754].start 27347.35221875
transcript.pyannote[4754].end 27350.05221875
transcript.pyannote[4755].speaker SPEAKER_38
transcript.pyannote[4755].start 27350.05221875
transcript.pyannote[4755].end 27350.06909375
transcript.pyannote[4756].speaker SPEAKER_38
transcript.pyannote[4756].start 27350.22096875
transcript.pyannote[4756].end 27360.19409375
transcript.pyannote[4757].speaker SPEAKER_38
transcript.pyannote[4757].start 27360.58221875
transcript.pyannote[4757].end 27375.98909375
transcript.pyannote[4758].speaker SPEAKER_32
transcript.pyannote[4758].start 27375.93846875
transcript.pyannote[4758].end 27384.29159375
transcript.pyannote[4759].speaker SPEAKER_38
transcript.pyannote[4759].start 27384.29159375
transcript.pyannote[4759].end 27386.06346875
transcript.pyannote[4760].speaker SPEAKER_32
transcript.pyannote[4760].start 27386.06346875
transcript.pyannote[4760].end 27386.13096875
transcript.pyannote[4761].speaker SPEAKER_38
transcript.pyannote[4761].start 27386.13096875
transcript.pyannote[4761].end 27386.19846875
transcript.pyannote[4762].speaker SPEAKER_32
transcript.pyannote[4762].start 27386.19846875
transcript.pyannote[4762].end 27388.07159375
transcript.pyannote[4763].speaker SPEAKER_38
transcript.pyannote[4763].start 27387.66659375
transcript.pyannote[4763].end 27396.61034375
transcript.pyannote[4764].speaker SPEAKER_32
transcript.pyannote[4764].start 27397.65659375
transcript.pyannote[4764].end 27402.26346875
transcript.pyannote[4765].speaker SPEAKER_32
transcript.pyannote[4765].start 27402.78659375
transcript.pyannote[4765].end 27412.50659375
transcript.pyannote[4766].speaker SPEAKER_32
transcript.pyannote[4766].start 27413.51909375
transcript.pyannote[4766].end 27419.77971875
transcript.pyannote[4767].speaker SPEAKER_32
transcript.pyannote[4767].start 27420.28596875
transcript.pyannote[4767].end 27420.82596875
transcript.pyannote[4768].speaker SPEAKER_32
transcript.pyannote[4768].start 27420.91034375
transcript.pyannote[4768].end 27429.95534375
transcript.pyannote[4769].speaker SPEAKER_38
transcript.pyannote[4769].start 27430.66409375
transcript.pyannote[4769].end 27434.47784375
transcript.pyannote[4770].speaker SPEAKER_32
transcript.pyannote[4770].start 27433.80284375
transcript.pyannote[4770].end 27438.07221875
transcript.pyannote[4771].speaker SPEAKER_32
transcript.pyannote[4771].start 27438.29159375
transcript.pyannote[4771].end 27450.72846875
transcript.pyannote[4772].speaker SPEAKER_32
transcript.pyannote[4772].start 27451.55534375
transcript.pyannote[4772].end 27455.55471875
transcript.pyannote[4773].speaker SPEAKER_32
transcript.pyannote[4773].start 27456.16221875
transcript.pyannote[4773].end 27457.57971875
transcript.pyannote[4774].speaker SPEAKER_38
transcript.pyannote[4774].start 27457.95096875
transcript.pyannote[4774].end 27468.58221875
transcript.pyannote[4775].speaker SPEAKER_32
transcript.pyannote[4775].start 27467.99159375
transcript.pyannote[4775].end 27469.79721875
transcript.pyannote[4776].speaker SPEAKER_32
transcript.pyannote[4776].start 27470.16846875
transcript.pyannote[4776].end 27477.98159375
transcript.pyannote[4777].speaker SPEAKER_32
transcript.pyannote[4777].start 27478.70721875
transcript.pyannote[4777].end 27479.09534375
transcript.pyannote[4778].speaker SPEAKER_32
transcript.pyannote[4778].start 27479.51721875
transcript.pyannote[4778].end 27481.77846875
transcript.pyannote[4779].speaker SPEAKER_32
transcript.pyannote[4779].start 27481.96409375
transcript.pyannote[4779].end 27489.05159375
transcript.pyannote[4780].speaker SPEAKER_38
transcript.pyannote[4780].start 27489.32159375
transcript.pyannote[4780].end 27508.52534375
transcript.pyannote[4781].speaker SPEAKER_32
transcript.pyannote[4781].start 27507.68159375
transcript.pyannote[4781].end 27510.56721875
transcript.pyannote[4782].speaker SPEAKER_38
transcript.pyannote[4782].start 27510.56721875
transcript.pyannote[4782].end 27511.03971875
transcript.pyannote[4783].speaker SPEAKER_32
transcript.pyannote[4783].start 27511.03971875
transcript.pyannote[4783].end 27514.87034375
transcript.pyannote[4784].speaker SPEAKER_38
transcript.pyannote[4784].start 27511.07346875
transcript.pyannote[4784].end 27511.12409375
transcript.pyannote[4785].speaker SPEAKER_32
transcript.pyannote[4785].start 27515.35971875
transcript.pyannote[4785].end 27526.42971875
transcript.pyannote[4786].speaker SPEAKER_32
transcript.pyannote[4786].start 27526.68284375
transcript.pyannote[4786].end 27529.46721875
transcript.pyannote[4787].speaker SPEAKER_32
transcript.pyannote[4787].start 27529.70346875
transcript.pyannote[4787].end 27537.49971875
transcript.pyannote[4788].speaker SPEAKER_32
transcript.pyannote[4788].start 27537.71909375
transcript.pyannote[4788].end 27544.14846875
transcript.pyannote[4789].speaker SPEAKER_32
transcript.pyannote[4789].start 27545.09346875
transcript.pyannote[4789].end 27551.47221875
transcript.pyannote[4790].speaker SPEAKER_32
transcript.pyannote[4790].start 27551.94471875
transcript.pyannote[4790].end 27555.26909375
transcript.pyannote[4791].speaker SPEAKER_32
transcript.pyannote[4791].start 27555.89346875
transcript.pyannote[4791].end 27562.10346875
transcript.pyannote[4792].speaker SPEAKER_32
transcript.pyannote[4792].start 27562.54221875
transcript.pyannote[4792].end 27564.02721875
transcript.pyannote[4793].speaker SPEAKER_10
transcript.pyannote[4793].start 27562.60971875
transcript.pyannote[4793].end 27563.60534375
transcript.pyannote[4794].speaker SPEAKER_10
transcript.pyannote[4794].start 27564.02721875
transcript.pyannote[4794].end 27564.31409375
transcript.pyannote[4795].speaker SPEAKER_32
transcript.pyannote[4795].start 27564.31409375
transcript.pyannote[4795].end 27564.58409375
transcript.pyannote[4796].speaker SPEAKER_10
transcript.pyannote[4796].start 27564.58409375
transcript.pyannote[4796].end 27567.03096875
transcript.pyannote[4797].speaker SPEAKER_32
transcript.pyannote[4797].start 27564.90471875
transcript.pyannote[4797].end 27565.14096875
transcript.pyannote[4798].speaker SPEAKER_10
transcript.pyannote[4798].start 27567.19971875
transcript.pyannote[4798].end 27570.55784375
transcript.pyannote[4799].speaker SPEAKER_10
transcript.pyannote[4799].start 27570.94596875
transcript.pyannote[4799].end 27574.43909375
transcript.pyannote[4800].speaker SPEAKER_10
transcript.pyannote[4800].start 27574.70909375
transcript.pyannote[4800].end 27575.38409375
transcript.pyannote[4801].speaker SPEAKER_10
transcript.pyannote[4801].start 27575.56971875
transcript.pyannote[4801].end 27576.97034375
transcript.pyannote[4802].speaker SPEAKER_10
transcript.pyannote[4802].start 27577.27409375
transcript.pyannote[4802].end 27578.48909375
transcript.pyannote[4803].speaker SPEAKER_10
transcript.pyannote[4803].start 27578.84346875
transcript.pyannote[4803].end 27581.61096875
transcript.pyannote[4804].speaker SPEAKER_10
transcript.pyannote[4804].start 27581.72909375
transcript.pyannote[4804].end 27582.62346875
transcript.pyannote[4805].speaker SPEAKER_10
transcript.pyannote[4805].start 27582.80909375
transcript.pyannote[4805].end 27583.77096875
transcript.pyannote[4806].speaker SPEAKER_10
transcript.pyannote[4806].start 27584.32784375
transcript.pyannote[4806].end 27585.10409375
transcript.pyannote[4807].speaker SPEAKER_10
transcript.pyannote[4807].start 27585.59346875
transcript.pyannote[4807].end 27590.11596875
transcript.pyannote[4808].speaker SPEAKER_10
transcript.pyannote[4808].start 27590.55471875
transcript.pyannote[4808].end 27592.52909375
transcript.pyannote[4809].speaker SPEAKER_10
transcript.pyannote[4809].start 27592.76534375
transcript.pyannote[4809].end 27595.00971875
transcript.pyannote[4810].speaker SPEAKER_10
transcript.pyannote[4810].start 27595.19534375
transcript.pyannote[4810].end 27596.32596875
transcript.pyannote[4811].speaker SPEAKER_10
transcript.pyannote[4811].start 27596.62971875
transcript.pyannote[4811].end 27599.02596875
transcript.pyannote[4812].speaker SPEAKER_10
transcript.pyannote[4812].start 27599.34659375
transcript.pyannote[4812].end 27600.59534375
transcript.pyannote[4813].speaker SPEAKER_10
transcript.pyannote[4813].start 27600.79784375
transcript.pyannote[4813].end 27601.60784375
transcript.pyannote[4814].speaker SPEAKER_10
transcript.pyannote[4814].start 27601.94534375
transcript.pyannote[4814].end 27602.68784375
transcript.pyannote[4815].speaker SPEAKER_10
transcript.pyannote[4815].start 27603.02534375
transcript.pyannote[4815].end 27605.77596875
transcript.pyannote[4816].speaker SPEAKER_10
transcript.pyannote[4816].start 27606.06284375
transcript.pyannote[4816].end 27611.36159375
transcript.pyannote[4817].speaker SPEAKER_10
transcript.pyannote[4817].start 27611.68221875
transcript.pyannote[4817].end 27614.95596875
transcript.pyannote[4818].speaker SPEAKER_32
transcript.pyannote[4818].start 27615.66471875
transcript.pyannote[4818].end 27618.31409375
transcript.pyannote[4819].speaker SPEAKER_32
transcript.pyannote[4819].start 27618.55034375
transcript.pyannote[4819].end 27620.27159375
transcript.pyannote[4820].speaker SPEAKER_32
transcript.pyannote[4820].start 27620.50784375
transcript.pyannote[4820].end 27623.51159375
transcript.pyannote[4821].speaker SPEAKER_36
transcript.pyannote[4821].start 27623.59596875
transcript.pyannote[4821].end 27623.64659375
transcript.pyannote[4822].speaker SPEAKER_38
transcript.pyannote[4822].start 27623.64659375
transcript.pyannote[4822].end 27624.00096875
transcript.pyannote[4823].speaker SPEAKER_36
transcript.pyannote[4823].start 27624.00096875
transcript.pyannote[4823].end 27624.01784375
transcript.pyannote[4824].speaker SPEAKER_32
transcript.pyannote[4824].start 27624.00096875
transcript.pyannote[4824].end 27627.69659375
transcript.pyannote[4825].speaker SPEAKER_38
transcript.pyannote[4825].start 27628.20284375
transcript.pyannote[4825].end 27630.22784375
transcript.pyannote[4826].speaker SPEAKER_32
transcript.pyannote[4826].start 27629.99159375
transcript.pyannote[4826].end 27631.78034375
transcript.pyannote[4827].speaker SPEAKER_32
transcript.pyannote[4827].start 27632.21909375
transcript.pyannote[4827].end 27637.78784375
transcript.pyannote[4828].speaker SPEAKER_32
transcript.pyannote[4828].start 27638.02409375
transcript.pyannote[4828].end 27644.85846875
transcript.pyannote[4829].speaker SPEAKER_38
transcript.pyannote[4829].start 27643.99784375
transcript.pyannote[4829].end 27651.16971875
transcript.pyannote[4830].speaker SPEAKER_38
transcript.pyannote[4830].start 27651.43971875
transcript.pyannote[4830].end 27656.35034375
transcript.pyannote[4831].speaker SPEAKER_38
transcript.pyannote[4831].start 27656.67096875
transcript.pyannote[4831].end 27659.13471875
transcript.pyannote[4832].speaker SPEAKER_38
transcript.pyannote[4832].start 27659.43846875
transcript.pyannote[4832].end 27660.65346875
transcript.pyannote[4833].speaker SPEAKER_32
transcript.pyannote[4833].start 27660.34971875
transcript.pyannote[4833].end 27660.63659375
transcript.pyannote[4834].speaker SPEAKER_32
transcript.pyannote[4834].start 27660.65346875
transcript.pyannote[4834].end 27664.50096875
transcript.pyannote[4835].speaker SPEAKER_32
transcript.pyannote[4835].start 27664.65284375
transcript.pyannote[4835].end 27674.15346875
transcript.pyannote[4836].speaker SPEAKER_38
transcript.pyannote[4836].start 27674.08596875
transcript.pyannote[4836].end 27674.13659375
transcript.pyannote[4837].speaker SPEAKER_38
transcript.pyannote[4837].start 27674.15346875
transcript.pyannote[4837].end 27674.77784375
transcript.pyannote[4838].speaker SPEAKER_32
transcript.pyannote[4838].start 27674.40659375
transcript.pyannote[4838].end 27678.59159375
transcript.pyannote[4839].speaker SPEAKER_32
transcript.pyannote[4839].start 27679.78971875
transcript.pyannote[4839].end 27687.61971875
transcript.pyannote[4840].speaker SPEAKER_32
transcript.pyannote[4840].start 27688.17659375
transcript.pyannote[4840].end 27689.98221875
transcript.pyannote[4841].speaker SPEAKER_32
transcript.pyannote[4841].start 27690.48846875
transcript.pyannote[4841].end 27692.59784375
transcript.pyannote[4842].speaker SPEAKER_32
transcript.pyannote[4842].start 27693.03659375
transcript.pyannote[4842].end 27694.96034375
transcript.pyannote[4843].speaker SPEAKER_32
transcript.pyannote[4843].start 27695.55096875
transcript.pyannote[4843].end 27699.60096875
transcript.pyannote[4844].speaker SPEAKER_32
transcript.pyannote[4844].start 27700.81596875
transcript.pyannote[4844].end 27702.04784375
transcript.pyannote[4845].speaker SPEAKER_32
transcript.pyannote[4845].start 27702.65534375
transcript.pyannote[4845].end 27704.39346875
transcript.pyannote[4846].speaker SPEAKER_38
transcript.pyannote[4846].start 27704.39346875
transcript.pyannote[4846].end 27718.18034375
transcript.pyannote[4847].speaker SPEAKER_38
transcript.pyannote[4847].start 27718.50096875
transcript.pyannote[4847].end 27724.12034375
transcript.pyannote[4848].speaker SPEAKER_32
transcript.pyannote[4848].start 27723.74909375
transcript.pyannote[4848].end 27729.57096875
transcript.pyannote[4849].speaker SPEAKER_32
transcript.pyannote[4849].start 27730.54971875
transcript.pyannote[4849].end 27733.80659375
transcript.pyannote[4850].speaker SPEAKER_32
transcript.pyannote[4850].start 27735.34221875
transcript.pyannote[4850].end 27745.63596875
transcript.pyannote[4851].speaker SPEAKER_10
transcript.pyannote[4851].start 27746.02409375
transcript.pyannote[4851].end 27747.30659375
transcript.pyannote[4852].speaker SPEAKER_32
transcript.pyannote[4852].start 27748.97721875
transcript.pyannote[4852].end 27752.84159375
transcript.pyannote[4853].speaker SPEAKER_10
transcript.pyannote[4853].start 27748.99409375
transcript.pyannote[4853].end 27750.44534375
transcript.pyannote[4854].speaker SPEAKER_32
transcript.pyannote[4854].start 27752.92596875
transcript.pyannote[4854].end 27753.88784375
transcript.pyannote[4855].speaker SPEAKER_32
transcript.pyannote[4855].start 27753.95534375
transcript.pyannote[4855].end 27758.02221875
transcript.pyannote[4856].speaker SPEAKER_32
transcript.pyannote[4856].start 27758.29221875
transcript.pyannote[4856].end 27760.46909375
transcript.pyannote[4857].speaker SPEAKER_10
transcript.pyannote[4857].start 27759.96284375
transcript.pyannote[4857].end 27765.56534375
transcript.pyannote[4858].speaker SPEAKER_10
transcript.pyannote[4858].start 27766.10534375
transcript.pyannote[4858].end 27777.88409375
transcript.pyannote[4859].speaker SPEAKER_36
transcript.pyannote[4859].start 27768.53534375
transcript.pyannote[4859].end 27768.78846875
transcript.pyannote[4860].speaker SPEAKER_09
transcript.pyannote[4860].start 27768.78846875
transcript.pyannote[4860].end 27769.14284375
transcript.pyannote[4861].speaker SPEAKER_36
transcript.pyannote[4861].start 27769.14284375
transcript.pyannote[4861].end 27769.29471875
transcript.pyannote[4862].speaker SPEAKER_09
transcript.pyannote[4862].start 27769.29471875
transcript.pyannote[4862].end 27769.49721875
transcript.pyannote[4863].speaker SPEAKER_36
transcript.pyannote[4863].start 27769.49721875
transcript.pyannote[4863].end 27769.68284375
transcript.pyannote[4864].speaker SPEAKER_09
transcript.pyannote[4864].start 27769.68284375
transcript.pyannote[4864].end 27769.69971875
transcript.pyannote[4865].speaker SPEAKER_36
transcript.pyannote[4865].start 27769.69971875
transcript.pyannote[4865].end 27770.03721875
transcript.pyannote[4866].speaker SPEAKER_32
transcript.pyannote[4866].start 27770.03721875
transcript.pyannote[4866].end 27771.16784375
transcript.pyannote[4867].speaker SPEAKER_36
transcript.pyannote[4867].start 27771.16784375
transcript.pyannote[4867].end 27771.18471875
transcript.pyannote[4868].speaker SPEAKER_32
transcript.pyannote[4868].start 27776.11221875
transcript.pyannote[4868].end 27776.19659375
transcript.pyannote[4869].speaker SPEAKER_32
transcript.pyannote[4869].start 27776.51721875
transcript.pyannote[4869].end 27780.93846875
transcript.pyannote[4870].speaker SPEAKER_37
transcript.pyannote[4870].start 27782.28846875
transcript.pyannote[4870].end 27784.06034375
transcript.pyannote[4871].speaker SPEAKER_32
transcript.pyannote[4871].start 27782.33909375
transcript.pyannote[4871].end 27783.45284375
transcript.pyannote[4872].speaker SPEAKER_32
transcript.pyannote[4872].start 27783.58784375
transcript.pyannote[4872].end 27785.96721875
transcript.pyannote[4873].speaker SPEAKER_32
transcript.pyannote[4873].start 27786.79409375
transcript.pyannote[4873].end 27787.21596875
transcript.pyannote[4874].speaker SPEAKER_32
transcript.pyannote[4874].start 27787.28346875
transcript.pyannote[4874].end 27788.16096875
transcript.pyannote[4875].speaker SPEAKER_37
transcript.pyannote[4875].start 27788.11034375
transcript.pyannote[4875].end 27789.79784375
transcript.pyannote[4876].speaker SPEAKER_32
transcript.pyannote[4876].start 27791.23221875
transcript.pyannote[4876].end 27794.03346875
transcript.pyannote[4877].speaker SPEAKER_32
transcript.pyannote[4877].start 27794.30346875
transcript.pyannote[4877].end 27795.85596875
transcript.pyannote[4878].speaker SPEAKER_32
transcript.pyannote[4878].start 27795.99096875
transcript.pyannote[4878].end 27797.29034375
transcript.pyannote[4879].speaker SPEAKER_32
transcript.pyannote[4879].start 27797.44221875
transcript.pyannote[4879].end 27798.30284375
transcript.pyannote[4880].speaker SPEAKER_32
transcript.pyannote[4880].start 27798.91034375
transcript.pyannote[4880].end 27799.90596875
transcript.pyannote[4881].speaker SPEAKER_32
transcript.pyannote[4881].start 27799.97346875
transcript.pyannote[4881].end 27800.78346875
transcript.pyannote[4882].speaker SPEAKER_32
transcript.pyannote[4882].start 27801.23909375
transcript.pyannote[4882].end 27803.14596875
transcript.pyannote[4883].speaker SPEAKER_32
transcript.pyannote[4883].start 27803.66909375
transcript.pyannote[4883].end 27804.69846875
transcript.pyannote[4884].speaker SPEAKER_32
transcript.pyannote[4884].start 27805.79534375
transcript.pyannote[4884].end 27808.42784375
transcript.pyannote[4885].speaker SPEAKER_32
transcript.pyannote[4885].start 27808.78221875
transcript.pyannote[4885].end 27809.96346875
transcript.pyannote[4886].speaker SPEAKER_32
transcript.pyannote[4886].start 27810.62159375
transcript.pyannote[4886].end 27812.81534375
transcript.pyannote[4887].speaker SPEAKER_32
transcript.pyannote[4887].start 27813.13596875
transcript.pyannote[4887].end 27815.73471875
transcript.pyannote[4888].speaker SPEAKER_32
transcript.pyannote[4888].start 27816.02159375
transcript.pyannote[4888].end 27819.98721875
transcript.pyannote[4889].speaker SPEAKER_32
transcript.pyannote[4889].start 27820.22346875
transcript.pyannote[4889].end 27822.46784375
transcript.pyannote[4890].speaker SPEAKER_32
transcript.pyannote[4890].start 27823.14284375
transcript.pyannote[4890].end 27827.71596875
transcript.pyannote[4891].speaker SPEAKER_32
transcript.pyannote[4891].start 27828.34034375
transcript.pyannote[4891].end 27831.41159375
transcript.pyannote[4892].speaker SPEAKER_32
transcript.pyannote[4892].start 27831.46221875
transcript.pyannote[4892].end 27833.70659375
transcript.pyannote[4893].speaker SPEAKER_32
transcript.pyannote[4893].start 27834.17909375
transcript.pyannote[4893].end 27836.30534375
transcript.pyannote[4894].speaker SPEAKER_37
transcript.pyannote[4894].start 27836.89596875
transcript.pyannote[4894].end 27839.62971875
transcript.pyannote[4895].speaker SPEAKER_32
transcript.pyannote[4895].start 27836.91284375
transcript.pyannote[4895].end 27837.72284375
transcript.pyannote[4896].speaker SPEAKER_37
transcript.pyannote[4896].start 27839.89971875
transcript.pyannote[4896].end 27853.02846875
transcript.pyannote[4897].speaker SPEAKER_32
transcript.pyannote[4897].start 27847.05471875
transcript.pyannote[4897].end 27847.44284375
transcript.pyannote[4898].speaker SPEAKER_32
transcript.pyannote[4898].start 27847.67909375
transcript.pyannote[4898].end 27847.94909375
transcript.pyannote[4899].speaker SPEAKER_32
transcript.pyannote[4899].start 27848.11784375
transcript.pyannote[4899].end 27848.40471875
transcript.pyannote[4900].speaker SPEAKER_32
transcript.pyannote[4900].start 27850.59846875
transcript.pyannote[4900].end 27850.73346875
transcript.pyannote[4901].speaker SPEAKER_32
transcript.pyannote[4901].start 27851.98221875
transcript.pyannote[4901].end 27865.00971875
transcript.pyannote[4902].speaker SPEAKER_31
transcript.pyannote[4902].start 27853.02846875
transcript.pyannote[4902].end 27853.09596875
transcript.pyannote[4903].speaker SPEAKER_37
transcript.pyannote[4903].start 27853.09596875
transcript.pyannote[4903].end 27853.51784375
transcript.pyannote[4904].speaker SPEAKER_25
transcript.pyannote[4904].start 27865.31346875
transcript.pyannote[4904].end 27865.95471875
transcript.pyannote[4905].speaker SPEAKER_32
transcript.pyannote[4905].start 27867.45659375
transcript.pyannote[4905].end 27871.97909375
transcript.pyannote[4906].speaker SPEAKER_32
transcript.pyannote[4906].start 27872.16471875
transcript.pyannote[4906].end 27883.55534375
transcript.pyannote[4907].speaker SPEAKER_32
transcript.pyannote[4907].start 27883.89284375
transcript.pyannote[4907].end 27888.21284375
transcript.pyannote[4908].speaker SPEAKER_32
transcript.pyannote[4908].start 27888.73596875
transcript.pyannote[4908].end 27892.68471875
transcript.pyannote[4909].speaker SPEAKER_32
transcript.pyannote[4909].start 27893.57909375
transcript.pyannote[4909].end 27893.59596875
transcript.pyannote[4910].speaker SPEAKER_31
transcript.pyannote[4910].start 27893.59596875
transcript.pyannote[4910].end 27893.61284375
transcript.pyannote[4911].speaker SPEAKER_32
transcript.pyannote[4911].start 27893.61284375
transcript.pyannote[4911].end 27893.71409375
transcript.pyannote[4912].speaker SPEAKER_31
transcript.pyannote[4912].start 27893.71409375
transcript.pyannote[4912].end 27893.73096875
transcript.pyannote[4913].speaker SPEAKER_32
transcript.pyannote[4913].start 27893.73096875
transcript.pyannote[4913].end 27893.78159375
transcript.pyannote[4914].speaker SPEAKER_31
transcript.pyannote[4914].start 27893.78159375
transcript.pyannote[4914].end 27893.88284375
transcript.pyannote[4915].speaker SPEAKER_32
transcript.pyannote[4915].start 27893.88284375
transcript.pyannote[4915].end 27895.84034375
transcript.pyannote[4916].speaker SPEAKER_32
transcript.pyannote[4916].start 27896.58284375
transcript.pyannote[4916].end 27900.36284375
transcript.pyannote[4917].speaker SPEAKER_32
transcript.pyannote[4917].start 27900.85221875
transcript.pyannote[4917].end 27901.13909375
transcript.pyannote[4918].speaker SPEAKER_32
transcript.pyannote[4918].start 27901.47659375
transcript.pyannote[4918].end 27901.88159375
transcript.pyannote[4919].speaker SPEAKER_32
transcript.pyannote[4919].start 27902.28659375
transcript.pyannote[4919].end 27903.43409375
transcript.pyannote[4920].speaker SPEAKER_32
transcript.pyannote[4920].start 27903.88971875
transcript.pyannote[4920].end 27904.21034375
transcript.pyannote[4921].speaker SPEAKER_41
transcript.pyannote[4921].start 27905.59409375
transcript.pyannote[4921].end 27906.03284375
transcript.pyannote[4922].speaker SPEAKER_41
transcript.pyannote[4922].start 27907.14659375
transcript.pyannote[4922].end 27910.58909375
transcript.pyannote[4923].speaker SPEAKER_41
transcript.pyannote[4923].start 27911.95596875
transcript.pyannote[4923].end 27912.76596875
transcript.pyannote[4924].speaker SPEAKER_41
transcript.pyannote[4924].start 27913.62659375
transcript.pyannote[4924].end 27917.03534375
transcript.pyannote[4925].speaker SPEAKER_41
transcript.pyannote[4925].start 27917.22096875
transcript.pyannote[4925].end 27920.17409375
transcript.pyannote[4926].speaker SPEAKER_32
transcript.pyannote[4926].start 27921.65909375
transcript.pyannote[4926].end 27926.77221875
transcript.pyannote[4927].speaker SPEAKER_37
transcript.pyannote[4927].start 27927.04221875
transcript.pyannote[4927].end 27930.26534375
transcript.pyannote[4928].speaker SPEAKER_37
transcript.pyannote[4928].start 27931.59846875
transcript.pyannote[4928].end 27932.32409375
transcript.pyannote[4929].speaker SPEAKER_32
transcript.pyannote[4929].start 27932.96534375
transcript.pyannote[4929].end 27933.42096875
transcript.pyannote[4930].speaker SPEAKER_32
transcript.pyannote[4930].start 27934.14659375
transcript.pyannote[4930].end 27937.03221875
transcript.pyannote[4931].speaker SPEAKER_32
transcript.pyannote[4931].start 27938.46659375
transcript.pyannote[4931].end 27939.51284375
transcript.pyannote[4932].speaker SPEAKER_32
transcript.pyannote[4932].start 27939.64784375
transcript.pyannote[4932].end 27940.27221875
transcript.pyannote[4933].speaker SPEAKER_32
transcript.pyannote[4933].start 27940.91346875
transcript.pyannote[4933].end 27942.78659375
transcript.pyannote[4934].speaker SPEAKER_32
transcript.pyannote[4934].start 27943.61346875
transcript.pyannote[4934].end 27944.11971875
transcript.pyannote[4935].speaker SPEAKER_32
transcript.pyannote[4935].start 27944.32221875
transcript.pyannote[4935].end 27945.16596875
transcript.pyannote[4936].speaker SPEAKER_32
transcript.pyannote[4936].start 27945.57096875
transcript.pyannote[4936].end 27946.71846875
transcript.pyannote[4937].speaker SPEAKER_32
transcript.pyannote[4937].start 27947.29221875
transcript.pyannote[4937].end 27948.15284375
transcript.pyannote[4938].speaker SPEAKER_32
transcript.pyannote[4938].start 27948.50721875
transcript.pyannote[4938].end 27951.29159375
transcript.pyannote[4939].speaker SPEAKER_32
transcript.pyannote[4939].start 27951.67971875
transcript.pyannote[4939].end 27952.79346875
transcript.pyannote[4940].speaker SPEAKER_32
transcript.pyannote[4940].start 27953.14784375
transcript.pyannote[4940].end 27954.75096875
transcript.pyannote[4941].speaker SPEAKER_32
transcript.pyannote[4941].start 27955.10534375
transcript.pyannote[4941].end 27955.79721875
transcript.pyannote[4942].speaker SPEAKER_32
transcript.pyannote[4942].start 27956.79284375
transcript.pyannote[4942].end 27957.19784375
transcript.pyannote[4943].speaker SPEAKER_32
transcript.pyannote[4943].start 27958.86846875
transcript.pyannote[4943].end 27961.83846875
transcript.pyannote[4944].speaker SPEAKER_32
transcript.pyannote[4944].start 27962.37846875
transcript.pyannote[4944].end 27963.99846875
transcript.pyannote[4945].speaker SPEAKER_32
transcript.pyannote[4945].start 27964.30221875
transcript.pyannote[4945].end 27965.70284375
transcript.pyannote[4946].speaker SPEAKER_32
transcript.pyannote[4946].start 27966.05721875
transcript.pyannote[4946].end 27967.33971875
transcript.pyannote[4947].speaker SPEAKER_32
transcript.pyannote[4947].start 27968.33534375
transcript.pyannote[4947].end 27970.09034375
transcript.pyannote[4948].speaker SPEAKER_32
transcript.pyannote[4948].start 27971.08596875
transcript.pyannote[4948].end 27972.04784375
transcript.pyannote[4949].speaker SPEAKER_32
transcript.pyannote[4949].start 27972.58784375
transcript.pyannote[4949].end 27973.39784375
transcript.pyannote[4950].speaker SPEAKER_32
transcript.pyannote[4950].start 27974.57909375
transcript.pyannote[4950].end 27976.23284375
transcript.pyannote[4951].speaker SPEAKER_32
transcript.pyannote[4951].start 27976.89096875
transcript.pyannote[4951].end 27978.78096875
transcript.pyannote[4952].speaker SPEAKER_32
transcript.pyannote[4952].start 27979.11846875
transcript.pyannote[4952].end 27980.51909375
transcript.pyannote[4953].speaker SPEAKER_32
transcript.pyannote[4953].start 27980.99159375
transcript.pyannote[4953].end 27981.22784375
transcript.pyannote[4954].speaker SPEAKER_32
transcript.pyannote[4954].start 27981.31221875
transcript.pyannote[4954].end 27983.28659375
transcript.pyannote[4955].speaker SPEAKER_32
transcript.pyannote[4955].start 27983.57346875
transcript.pyannote[4955].end 27985.49721875
transcript.pyannote[4956].speaker SPEAKER_32
transcript.pyannote[4956].start 27986.08784375
transcript.pyannote[4956].end 27986.99909375
transcript.pyannote[4957].speaker SPEAKER_32
transcript.pyannote[4957].start 27987.30284375
transcript.pyannote[4957].end 27989.29409375
transcript.pyannote[4958].speaker SPEAKER_32
transcript.pyannote[4958].start 27989.95221875
transcript.pyannote[4958].end 27990.49221875
transcript.pyannote[4959].speaker SPEAKER_32
transcript.pyannote[4959].start 27990.74534375
transcript.pyannote[4959].end 27992.12909375
transcript.pyannote[4960].speaker SPEAKER_32
transcript.pyannote[4960].start 27992.33159375
transcript.pyannote[4960].end 27992.88846875
transcript.pyannote[4961].speaker SPEAKER_32
transcript.pyannote[4961].start 27993.05721875
transcript.pyannote[4961].end 27994.39034375
transcript.pyannote[4962].speaker SPEAKER_32
transcript.pyannote[4962].start 27995.06534375
transcript.pyannote[4962].end 27996.14534375
transcript.pyannote[4963].speaker SPEAKER_32
transcript.pyannote[4963].start 27996.41534375
transcript.pyannote[4963].end 27997.10721875
transcript.pyannote[4964].speaker SPEAKER_32
transcript.pyannote[4964].start 27997.22534375
transcript.pyannote[4964].end 28000.04346875
transcript.pyannote[4965].speaker SPEAKER_32
transcript.pyannote[4965].start 28000.58346875
transcript.pyannote[4965].end 28001.42721875
transcript.pyannote[4966].speaker SPEAKER_32
transcript.pyannote[4966].start 28001.71409375
transcript.pyannote[4966].end 28003.16534375
transcript.pyannote[4967].speaker SPEAKER_32
transcript.pyannote[4967].start 28003.90784375
transcript.pyannote[4967].end 28011.65346875
transcript.pyannote[4968].speaker SPEAKER_32
transcript.pyannote[4968].start 28011.97409375
transcript.pyannote[4968].end 28013.00346875
transcript.pyannote[4969].speaker SPEAKER_32
transcript.pyannote[4969].start 28013.54346875
transcript.pyannote[4969].end 28016.34471875
transcript.pyannote[4970].speaker SPEAKER_32
transcript.pyannote[4970].start 28016.47971875
transcript.pyannote[4970].end 28018.18409375
transcript.pyannote[4971].speaker SPEAKER_02
transcript.pyannote[4971].start 28019.38221875
transcript.pyannote[4971].end 28019.71971875
transcript.pyannote[4972].speaker SPEAKER_32
transcript.pyannote[4972].start 28019.71971875
transcript.pyannote[4972].end 28020.39471875
transcript.pyannote[4973].speaker SPEAKER_02
transcript.pyannote[4973].start 28019.73659375
transcript.pyannote[4973].end 28020.46221875
transcript.pyannote[4974].speaker SPEAKER_02
transcript.pyannote[4974].start 28020.73221875
transcript.pyannote[4974].end 28038.56909375
transcript.pyannote[4975].speaker SPEAKER_02
transcript.pyannote[4975].start 28038.75471875
transcript.pyannote[4975].end 28042.65284375
transcript.pyannote[4976].speaker SPEAKER_02
transcript.pyannote[4976].start 28043.19284375
transcript.pyannote[4976].end 28047.96846875
transcript.pyannote[4977].speaker SPEAKER_02
transcript.pyannote[4977].start 28048.01909375
transcript.pyannote[4977].end 28052.67659375
transcript.pyannote[4978].speaker SPEAKER_02
transcript.pyannote[4978].start 28052.84534375
transcript.pyannote[4978].end 28057.73909375
transcript.pyannote[4979].speaker SPEAKER_02
transcript.pyannote[4979].start 28057.95846875
transcript.pyannote[4979].end 28064.26971875
transcript.pyannote[4980].speaker SPEAKER_02
transcript.pyannote[4980].start 28064.75909375
transcript.pyannote[4980].end 28067.56034375
transcript.pyannote[4981].speaker SPEAKER_02
transcript.pyannote[4981].start 28067.66159375
transcript.pyannote[4981].end 28074.49596875
transcript.pyannote[4982].speaker SPEAKER_32
transcript.pyannote[4982].start 28074.49596875
transcript.pyannote[4982].end 28077.41534375
transcript.pyannote[4983].speaker SPEAKER_02
transcript.pyannote[4983].start 28077.41534375
transcript.pyannote[4983].end 28077.61784375
transcript.pyannote[4984].speaker SPEAKER_32
transcript.pyannote[4984].start 28077.61784375
transcript.pyannote[4984].end 28078.64721875
transcript.pyannote[4985].speaker SPEAKER_02
transcript.pyannote[4985].start 28078.27596875
transcript.pyannote[4985].end 28080.57096875
transcript.pyannote[4986].speaker SPEAKER_32
transcript.pyannote[4986].start 28079.37284375
transcript.pyannote[4986].end 28081.11096875
transcript.pyannote[4987].speaker SPEAKER_02
transcript.pyannote[4987].start 28081.68471875
transcript.pyannote[4987].end 28082.95034375
transcript.pyannote[4988].speaker SPEAKER_32
transcript.pyannote[4988].start 28081.71846875
transcript.pyannote[4988].end 28084.35096875
transcript.pyannote[4989].speaker SPEAKER_02
transcript.pyannote[4989].start 28084.90784375
transcript.pyannote[4989].end 28094.05409375
transcript.pyannote[4990].speaker SPEAKER_37
transcript.pyannote[4990].start 28103.85846875
transcript.pyannote[4990].end 28109.03909375
transcript.pyannote[4991].speaker SPEAKER_37
transcript.pyannote[4991].start 28122.03284375
transcript.pyannote[4991].end 28125.32346875
transcript.pyannote[4992].speaker SPEAKER_37
transcript.pyannote[4992].start 28125.93096875
transcript.pyannote[4992].end 28129.13721875
transcript.pyannote[4993].speaker SPEAKER_20
transcript.pyannote[4993].start 28136.84909375
transcript.pyannote[4993].end 28137.89534375
transcript.pyannote[4994].speaker SPEAKER_37
transcript.pyannote[4994].start 28138.30034375
transcript.pyannote[4994].end 28139.58284375
transcript.pyannote[4995].speaker SPEAKER_10
transcript.pyannote[4995].start 28152.12096875
transcript.pyannote[4995].end 28153.63971875
transcript.pyannote[4996].speaker SPEAKER_20
transcript.pyannote[4996].start 28154.16284375
transcript.pyannote[4996].end 28154.83784375
transcript.pyannote[4997].speaker SPEAKER_20
transcript.pyannote[4997].start 28155.25971875
transcript.pyannote[4997].end 28162.92096875
transcript.pyannote[4998].speaker SPEAKER_20
transcript.pyannote[4998].start 28163.32596875
transcript.pyannote[4998].end 28165.67159375
transcript.pyannote[4999].speaker SPEAKER_20
transcript.pyannote[4999].start 28166.12721875
transcript.pyannote[4999].end 28171.52721875
transcript.pyannote[5000].speaker SPEAKER_20
transcript.pyannote[5000].start 28171.79721875
transcript.pyannote[5000].end 28173.53534375
transcript.pyannote[5001].speaker SPEAKER_20
transcript.pyannote[5001].start 28173.75471875
transcript.pyannote[5001].end 28175.71221875
transcript.pyannote[5002].speaker SPEAKER_20
transcript.pyannote[5002].start 28175.94846875
transcript.pyannote[5002].end 28178.86784375
transcript.pyannote[5003].speaker SPEAKER_20
transcript.pyannote[5003].start 28179.18846875
transcript.pyannote[5003].end 28181.68596875
transcript.pyannote[5004].speaker SPEAKER_20
transcript.pyannote[5004].start 28182.81659375
transcript.pyannote[5004].end 28193.58284375
transcript.pyannote[5005].speaker SPEAKER_20
transcript.pyannote[5005].start 28193.61659375
transcript.pyannote[5005].end 28194.81471875
transcript.pyannote[5006].speaker SPEAKER_20
transcript.pyannote[5006].start 28195.05096875
transcript.pyannote[5006].end 28217.88284375
transcript.pyannote[5007].speaker SPEAKER_20
transcript.pyannote[5007].start 28218.16971875
transcript.pyannote[5007].end 28225.13909375
transcript.pyannote[5008].speaker SPEAKER_20
transcript.pyannote[5008].start 28225.64534375
transcript.pyannote[5008].end 28246.19909375
transcript.pyannote[5009].speaker SPEAKER_20
transcript.pyannote[5009].start 28246.26659375
transcript.pyannote[5009].end 28250.43471875
transcript.pyannote[5010].speaker SPEAKER_20
transcript.pyannote[5010].start 28250.77221875
transcript.pyannote[5010].end 28253.42159375
transcript.pyannote[5011].speaker SPEAKER_20
transcript.pyannote[5011].start 28253.72534375
transcript.pyannote[5011].end 28274.63346875
transcript.pyannote[5012].speaker SPEAKER_20
transcript.pyannote[5012].start 28275.22409375
transcript.pyannote[5012].end 28282.86846875
transcript.pyannote[5013].speaker SPEAKER_20
transcript.pyannote[5013].start 28283.10471875
transcript.pyannote[5013].end 28302.03846875
transcript.pyannote[5014].speaker SPEAKER_20
transcript.pyannote[5014].start 28302.61221875
transcript.pyannote[5014].end 28320.61784375
transcript.pyannote[5015].speaker SPEAKER_20
transcript.pyannote[5015].start 28320.92159375
transcript.pyannote[5015].end 28327.85721875
transcript.pyannote[5016].speaker SPEAKER_20
transcript.pyannote[5016].start 28328.43096875
transcript.pyannote[5016].end 28337.59409375
transcript.pyannote[5017].speaker SPEAKER_20
transcript.pyannote[5017].start 28337.76284375
transcript.pyannote[5017].end 28337.84721875
transcript.pyannote[5018].speaker SPEAKER_20
transcript.pyannote[5018].start 28338.06659375
transcript.pyannote[5018].end 28351.88721875
transcript.pyannote[5019].speaker SPEAKER_38
transcript.pyannote[5019].start 28351.88721875
transcript.pyannote[5019].end 28362.28221875
transcript.pyannote[5020].speaker SPEAKER_38
transcript.pyannote[5020].start 28362.50159375
transcript.pyannote[5020].end 28365.52221875
transcript.pyannote[5021].speaker SPEAKER_38
transcript.pyannote[5021].start 28365.67409375
transcript.pyannote[5021].end 28370.88846875
transcript.pyannote[5022].speaker SPEAKER_38
transcript.pyannote[5022].start 28371.17534375
transcript.pyannote[5022].end 28375.02284375
transcript.pyannote[5023].speaker SPEAKER_38
transcript.pyannote[5023].start 28375.07346875
transcript.pyannote[5023].end 28383.73034375
transcript.pyannote[5024].speaker SPEAKER_38
transcript.pyannote[5024].start 28383.96659375
transcript.pyannote[5024].end 28387.34159375
transcript.pyannote[5025].speaker SPEAKER_20
transcript.pyannote[5025].start 28386.43034375
transcript.pyannote[5025].end 28386.83534375
transcript.pyannote[5026].speaker SPEAKER_20
transcript.pyannote[5026].start 28387.45971875
transcript.pyannote[5026].end 28403.27159375
transcript.pyannote[5027].speaker SPEAKER_38
transcript.pyannote[5027].start 28391.02034375
transcript.pyannote[5027].end 28391.40846875
transcript.pyannote[5028].speaker SPEAKER_09
transcript.pyannote[5028].start 28391.40846875
transcript.pyannote[5028].end 28391.45909375
transcript.pyannote[5029].speaker SPEAKER_09
transcript.pyannote[5029].start 28391.98221875
transcript.pyannote[5029].end 28392.01596875
transcript.pyannote[5030].speaker SPEAKER_38
transcript.pyannote[5030].start 28392.01596875
transcript.pyannote[5030].end 28392.04971875
transcript.pyannote[5031].speaker SPEAKER_09
transcript.pyannote[5031].start 28392.04971875
transcript.pyannote[5031].end 28392.08346875
transcript.pyannote[5032].speaker SPEAKER_38
transcript.pyannote[5032].start 28392.08346875
transcript.pyannote[5032].end 28394.47971875
transcript.pyannote[5033].speaker SPEAKER_11
transcript.pyannote[5033].start 28401.43221875
transcript.pyannote[5033].end 28401.98909375
transcript.pyannote[5034].speaker SPEAKER_00
transcript.pyannote[5034].start 28401.98909375
transcript.pyannote[5034].end 28402.00596875
transcript.pyannote[5035].speaker SPEAKER_20
transcript.pyannote[5035].start 28403.60909375
transcript.pyannote[5035].end 28409.88659375
transcript.pyannote[5036].speaker SPEAKER_20
transcript.pyannote[5036].start 28410.02159375
transcript.pyannote[5036].end 28421.85096875
transcript.pyannote[5037].speaker SPEAKER_20
transcript.pyannote[5037].start 28422.27284375
transcript.pyannote[5037].end 28439.60346875
transcript.pyannote[5038].speaker SPEAKER_20
transcript.pyannote[5038].start 28440.12659375
transcript.pyannote[5038].end 28449.52596875
transcript.pyannote[5039].speaker SPEAKER_20
transcript.pyannote[5039].start 28450.11659375
transcript.pyannote[5039].end 28450.13346875
transcript.pyannote[5040].speaker SPEAKER_10
transcript.pyannote[5040].start 28450.13346875
transcript.pyannote[5040].end 28455.53346875
transcript.pyannote[5041].speaker SPEAKER_10
transcript.pyannote[5041].start 28456.74846875
transcript.pyannote[5041].end 28460.32596875
transcript.pyannote[5042].speaker SPEAKER_10
transcript.pyannote[5042].start 28460.61284375
transcript.pyannote[5042].end 28461.45659375
transcript.pyannote[5043].speaker SPEAKER_10
transcript.pyannote[5043].start 28461.89534375
transcript.pyannote[5043].end 28464.29159375
transcript.pyannote[5044].speaker SPEAKER_10
transcript.pyannote[5044].start 28464.79784375
transcript.pyannote[5044].end 28466.14784375
transcript.pyannote[5045].speaker SPEAKER_10
transcript.pyannote[5045].start 28466.41784375
transcript.pyannote[5045].end 28467.71721875
transcript.pyannote[5046].speaker SPEAKER_10
transcript.pyannote[5046].start 28468.02096875
transcript.pyannote[5046].end 28470.85596875
transcript.pyannote[5047].speaker SPEAKER_10
transcript.pyannote[5047].start 28471.00784375
transcript.pyannote[5047].end 28471.61534375
transcript.pyannote[5048].speaker SPEAKER_10
transcript.pyannote[5048].start 28471.78409375
transcript.pyannote[5048].end 28472.37471875
transcript.pyannote[5049].speaker SPEAKER_10
transcript.pyannote[5049].start 28472.88096875
transcript.pyannote[5049].end 28475.10846875
transcript.pyannote[5050].speaker SPEAKER_10
transcript.pyannote[5050].start 28475.31096875
transcript.pyannote[5050].end 28477.06596875
transcript.pyannote[5051].speaker SPEAKER_10
transcript.pyannote[5051].start 28477.58909375
transcript.pyannote[5051].end 28479.39471875
transcript.pyannote[5052].speaker SPEAKER_10
transcript.pyannote[5052].start 28479.59721875
transcript.pyannote[5052].end 28480.67721875
transcript.pyannote[5053].speaker SPEAKER_10
transcript.pyannote[5053].start 28481.63909375
transcript.pyannote[5053].end 28483.10721875
transcript.pyannote[5054].speaker SPEAKER_10
transcript.pyannote[5054].start 28483.22534375
transcript.pyannote[5054].end 28486.58346875
transcript.pyannote[5055].speaker SPEAKER_10
transcript.pyannote[5055].start 28487.10659375
transcript.pyannote[5055].end 28490.19471875
transcript.pyannote[5056].speaker SPEAKER_10
transcript.pyannote[5056].start 28490.59971875
transcript.pyannote[5056].end 28492.82721875
transcript.pyannote[5057].speaker SPEAKER_10
transcript.pyannote[5057].start 28492.94534375
transcript.pyannote[5057].end 28494.39659375
transcript.pyannote[5058].speaker SPEAKER_10
transcript.pyannote[5058].start 28494.76784375
transcript.pyannote[5058].end 28499.03721875
transcript.pyannote[5059].speaker SPEAKER_10
transcript.pyannote[5059].start 28499.10471875
transcript.pyannote[5059].end 28501.26471875
transcript.pyannote[5060].speaker SPEAKER_10
transcript.pyannote[5060].start 28501.58534375
transcript.pyannote[5060].end 28503.23909375
transcript.pyannote[5061].speaker SPEAKER_10
transcript.pyannote[5061].start 28503.84659375
transcript.pyannote[5061].end 28506.85034375
transcript.pyannote[5062].speaker SPEAKER_10
transcript.pyannote[5062].start 28507.42409375
transcript.pyannote[5062].end 28509.16221875
transcript.pyannote[5063].speaker SPEAKER_10
transcript.pyannote[5063].start 28509.55034375
transcript.pyannote[5063].end 28511.99721875
transcript.pyannote[5064].speaker SPEAKER_10
transcript.pyannote[5064].start 28512.46971875
transcript.pyannote[5064].end 28514.14034375
transcript.pyannote[5065].speaker SPEAKER_10
transcript.pyannote[5065].start 28514.91659375
transcript.pyannote[5065].end 28519.23659375
transcript.pyannote[5066].speaker SPEAKER_10
transcript.pyannote[5066].start 28519.52346875
transcript.pyannote[5066].end 28520.94096875
transcript.pyannote[5067].speaker SPEAKER_10
transcript.pyannote[5067].start 28521.10971875
transcript.pyannote[5067].end 28523.23596875
transcript.pyannote[5068].speaker SPEAKER_10
transcript.pyannote[5068].start 28523.69159375
transcript.pyannote[5068].end 28526.81346875
transcript.pyannote[5069].speaker SPEAKER_10
transcript.pyannote[5069].start 28527.01596875
transcript.pyannote[5069].end 28527.96096875
transcript.pyannote[5070].speaker SPEAKER_10
transcript.pyannote[5070].start 28528.34909375
transcript.pyannote[5070].end 28529.96909375
transcript.pyannote[5071].speaker SPEAKER_10
transcript.pyannote[5071].start 28530.23909375
transcript.pyannote[5071].end 28531.28534375
transcript.pyannote[5072].speaker SPEAKER_10
transcript.pyannote[5072].start 28531.50471875
transcript.pyannote[5072].end 28532.48346875
transcript.pyannote[5073].speaker SPEAKER_10
transcript.pyannote[5073].start 28532.51721875
transcript.pyannote[5073].end 28534.25534375
transcript.pyannote[5074].speaker SPEAKER_10
transcript.pyannote[5074].start 28534.37346875
transcript.pyannote[5074].end 28535.53784375
transcript.pyannote[5075].speaker SPEAKER_10
transcript.pyannote[5075].start 28535.90909375
transcript.pyannote[5075].end 28538.79471875
transcript.pyannote[5076].speaker SPEAKER_10
transcript.pyannote[5076].start 28539.55409375
transcript.pyannote[5076].end 28541.46096875
transcript.pyannote[5077].speaker SPEAKER_18
transcript.pyannote[5077].start 28539.60471875
transcript.pyannote[5077].end 28540.00971875
transcript.pyannote[5078].speaker SPEAKER_10
transcript.pyannote[5078].start 28541.59596875
transcript.pyannote[5078].end 28547.68784375
transcript.pyannote[5079].speaker SPEAKER_10
transcript.pyannote[5079].start 28548.05909375
transcript.pyannote[5079].end 28548.14346875
transcript.pyannote[5080].speaker SPEAKER_20
transcript.pyannote[5080].start 28548.14346875
transcript.pyannote[5080].end 28548.17721875
transcript.pyannote[5081].speaker SPEAKER_10
transcript.pyannote[5081].start 28548.17721875
transcript.pyannote[5081].end 28548.95346875
transcript.pyannote[5082].speaker SPEAKER_20
transcript.pyannote[5082].start 28548.95346875
transcript.pyannote[5082].end 28549.27409375
transcript.pyannote[5083].speaker SPEAKER_10
transcript.pyannote[5083].start 28549.27409375
transcript.pyannote[5083].end 28549.37534375
transcript.pyannote[5084].speaker SPEAKER_20
transcript.pyannote[5084].start 28549.37534375
transcript.pyannote[5084].end 28549.51034375
transcript.pyannote[5085].speaker SPEAKER_20
transcript.pyannote[5085].start 28549.56096875
transcript.pyannote[5085].end 28557.49221875
transcript.pyannote[5086].speaker SPEAKER_20
transcript.pyannote[5086].start 28557.66096875
transcript.pyannote[5086].end 28563.55034375
transcript.pyannote[5087].speaker SPEAKER_10
transcript.pyannote[5087].start 28560.00659375
transcript.pyannote[5087].end 28568.81534375
transcript.pyannote[5088].speaker SPEAKER_10
transcript.pyannote[5088].start 28569.28784375
transcript.pyannote[5088].end 28571.14409375
transcript.pyannote[5089].speaker SPEAKER_10
transcript.pyannote[5089].start 28571.58284375
transcript.pyannote[5089].end 28572.59534375
transcript.pyannote[5090].speaker SPEAKER_10
transcript.pyannote[5090].start 28573.03409375
transcript.pyannote[5090].end 28574.29971875
transcript.pyannote[5091].speaker SPEAKER_10
transcript.pyannote[5091].start 28574.45159375
transcript.pyannote[5091].end 28576.76346875
transcript.pyannote[5092].speaker SPEAKER_10
transcript.pyannote[5092].start 28576.99971875
transcript.pyannote[5092].end 28579.51409375
transcript.pyannote[5093].speaker SPEAKER_10
transcript.pyannote[5093].start 28579.69971875
transcript.pyannote[5093].end 28582.88909375
transcript.pyannote[5094].speaker SPEAKER_10
transcript.pyannote[5094].start 28583.15909375
transcript.pyannote[5094].end 28585.89284375
transcript.pyannote[5095].speaker SPEAKER_10
transcript.pyannote[5095].start 28586.26409375
transcript.pyannote[5095].end 28588.50846875
transcript.pyannote[5096].speaker SPEAKER_10
transcript.pyannote[5096].start 28588.72784375
transcript.pyannote[5096].end 28589.41971875
transcript.pyannote[5097].speaker SPEAKER_10
transcript.pyannote[5097].start 28589.80784375
transcript.pyannote[5097].end 28591.03971875
transcript.pyannote[5098].speaker SPEAKER_10
transcript.pyannote[5098].start 28591.76534375
transcript.pyannote[5098].end 28596.20346875
transcript.pyannote[5099].speaker SPEAKER_20
transcript.pyannote[5099].start 28596.30471875
transcript.pyannote[5099].end 28601.62034375
transcript.pyannote[5100].speaker SPEAKER_10
transcript.pyannote[5100].start 28596.43971875
transcript.pyannote[5100].end 28596.87846875
transcript.pyannote[5101].speaker SPEAKER_10
transcript.pyannote[5101].start 28601.09721875
transcript.pyannote[5101].end 28605.73784375
transcript.pyannote[5102].speaker SPEAKER_10
transcript.pyannote[5102].start 28605.97409375
transcript.pyannote[5102].end 28607.45909375
transcript.pyannote[5103].speaker SPEAKER_10
transcript.pyannote[5103].start 28607.74596875
transcript.pyannote[5103].end 28609.55159375
transcript.pyannote[5104].speaker SPEAKER_10
transcript.pyannote[5104].start 28610.00721875
transcript.pyannote[5104].end 28610.20971875
transcript.pyannote[5105].speaker SPEAKER_10
transcript.pyannote[5105].start 28610.47971875
transcript.pyannote[5105].end 28611.55971875
transcript.pyannote[5106].speaker SPEAKER_10
transcript.pyannote[5106].start 28611.77909375
transcript.pyannote[5106].end 28614.36096875
transcript.pyannote[5107].speaker SPEAKER_10
transcript.pyannote[5107].start 28614.69846875
transcript.pyannote[5107].end 28616.28471875
transcript.pyannote[5108].speaker SPEAKER_10
transcript.pyannote[5108].start 28616.65596875
transcript.pyannote[5108].end 28617.33096875
transcript.pyannote[5109].speaker SPEAKER_10
transcript.pyannote[5109].start 28617.46596875
transcript.pyannote[5109].end 28619.03534375
transcript.pyannote[5110].speaker SPEAKER_10
transcript.pyannote[5110].start 28619.18721875
transcript.pyannote[5110].end 28622.57909375
transcript.pyannote[5111].speaker SPEAKER_10
transcript.pyannote[5111].start 28622.91659375
transcript.pyannote[5111].end 28625.04284375
transcript.pyannote[5112].speaker SPEAKER_08
transcript.pyannote[5112].start 28626.07221875
transcript.pyannote[5112].end 28649.44409375
transcript.pyannote[5113].speaker SPEAKER_20
transcript.pyannote[5113].start 28647.43596875
transcript.pyannote[5113].end 28653.73034375
transcript.pyannote[5114].speaker SPEAKER_08
transcript.pyannote[5114].start 28650.45659375
transcript.pyannote[5114].end 28660.15971875
transcript.pyannote[5115].speaker SPEAKER_20
transcript.pyannote[5115].start 28658.21909375
transcript.pyannote[5115].end 28664.47971875
transcript.pyannote[5116].speaker SPEAKER_08
transcript.pyannote[5116].start 28661.39159375
transcript.pyannote[5116].end 28661.81346875
transcript.pyannote[5117].speaker SPEAKER_20
transcript.pyannote[5117].start 28665.05346875
transcript.pyannote[5117].end 28676.95034375
transcript.pyannote[5118].speaker SPEAKER_08
transcript.pyannote[5118].start 28675.75221875
transcript.pyannote[5118].end 28679.56596875
transcript.pyannote[5119].speaker SPEAKER_20
transcript.pyannote[5119].start 28677.92909375
transcript.pyannote[5119].end 28701.79034375
transcript.pyannote[5120].speaker SPEAKER_20
transcript.pyannote[5120].start 28702.02659375
transcript.pyannote[5120].end 28705.24971875
transcript.pyannote[5121].speaker SPEAKER_20
transcript.pyannote[5121].start 28706.22846875
transcript.pyannote[5121].end 28710.48096875
transcript.pyannote[5122].speaker SPEAKER_20
transcript.pyannote[5122].start 28710.64971875
transcript.pyannote[5122].end 28722.49596875
transcript.pyannote[5123].speaker SPEAKER_00
transcript.pyannote[5123].start 28710.97034375
transcript.pyannote[5123].end 28711.02096875
transcript.pyannote[5124].speaker SPEAKER_20
transcript.pyannote[5124].start 28723.35659375
transcript.pyannote[5124].end 28724.47034375
transcript.pyannote[5125].speaker SPEAKER_20
transcript.pyannote[5125].start 28724.72346875
transcript.pyannote[5125].end 28732.58721875
transcript.pyannote[5126].speaker SPEAKER_20
transcript.pyannote[5126].start 28732.67159375
transcript.pyannote[5126].end 28741.81784375
transcript.pyannote[5127].speaker SPEAKER_10
transcript.pyannote[5127].start 28741.85159375
transcript.pyannote[5127].end 28744.33221875
transcript.pyannote[5128].speaker SPEAKER_10
transcript.pyannote[5128].start 28744.73721875
transcript.pyannote[5128].end 28748.04471875
transcript.pyannote[5129].speaker SPEAKER_10
transcript.pyannote[5129].start 28748.31471875
transcript.pyannote[5129].end 28752.55034375
transcript.pyannote[5130].speaker SPEAKER_10
transcript.pyannote[5130].start 28752.80346875
transcript.pyannote[5130].end 28755.99284375
transcript.pyannote[5131].speaker SPEAKER_10
transcript.pyannote[5131].start 28756.88721875
transcript.pyannote[5131].end 28757.54534375
transcript.pyannote[5132].speaker SPEAKER_10
transcript.pyannote[5132].start 28758.74346875
transcript.pyannote[5132].end 28760.39721875
transcript.pyannote[5133].speaker SPEAKER_10
transcript.pyannote[5133].start 28760.80221875
transcript.pyannote[5133].end 28763.24909375
transcript.pyannote[5134].speaker SPEAKER_10
transcript.pyannote[5134].start 28763.46846875
transcript.pyannote[5134].end 28764.66659375
transcript.pyannote[5135].speaker SPEAKER_10
transcript.pyannote[5135].start 28764.83534375
transcript.pyannote[5135].end 28767.77159375
transcript.pyannote[5136].speaker SPEAKER_10
transcript.pyannote[5136].start 28768.19346875
transcript.pyannote[5136].end 28769.45909375
transcript.pyannote[5137].speaker SPEAKER_10
transcript.pyannote[5137].start 28769.89784375
transcript.pyannote[5137].end 28773.13784375
transcript.pyannote[5138].speaker SPEAKER_10
transcript.pyannote[5138].start 28774.01534375
transcript.pyannote[5138].end 28776.47909375
transcript.pyannote[5139].speaker SPEAKER_10
transcript.pyannote[5139].start 28776.88409375
transcript.pyannote[5139].end 28780.98471875
transcript.pyannote[5140].speaker SPEAKER_20
transcript.pyannote[5140].start 28777.76159375
transcript.pyannote[5140].end 28779.17909375
transcript.pyannote[5141].speaker SPEAKER_20
transcript.pyannote[5141].start 28780.98471875
transcript.pyannote[5141].end 28791.49784375
transcript.pyannote[5142].speaker SPEAKER_20
transcript.pyannote[5142].start 28792.00409375
transcript.pyannote[5142].end 28802.33159375
transcript.pyannote[5143].speaker SPEAKER_10
transcript.pyannote[5143].start 28800.64409375
transcript.pyannote[5143].end 28805.35221875
transcript.pyannote[5144].speaker SPEAKER_20
transcript.pyannote[5144].start 28803.27659375
transcript.pyannote[5144].end 28804.00221875
transcript.pyannote[5145].speaker SPEAKER_20
transcript.pyannote[5145].start 28804.86284375
transcript.pyannote[5145].end 28807.68096875
transcript.pyannote[5146].speaker SPEAKER_20
transcript.pyannote[5146].start 28808.25471875
transcript.pyannote[5146].end 28811.96721875
transcript.pyannote[5147].speaker SPEAKER_20
transcript.pyannote[5147].start 28812.35534375
transcript.pyannote[5147].end 28814.71784375
transcript.pyannote[5148].speaker SPEAKER_20
transcript.pyannote[5148].start 28814.85284375
transcript.pyannote[5148].end 28851.65721875
transcript.pyannote[5149].speaker SPEAKER_09
transcript.pyannote[5149].start 28830.76596875
transcript.pyannote[5149].end 28831.33971875
transcript.pyannote[5150].speaker SPEAKER_10
transcript.pyannote[5150].start 28852.83846875
transcript.pyannote[5150].end 28859.68971875
transcript.pyannote[5151].speaker SPEAKER_10
transcript.pyannote[5151].start 28859.87534375
transcript.pyannote[5151].end 28861.71471875
transcript.pyannote[5152].speaker SPEAKER_10
transcript.pyannote[5152].start 28861.96784375
transcript.pyannote[5152].end 28864.22909375
transcript.pyannote[5153].speaker SPEAKER_10
transcript.pyannote[5153].start 28864.39784375
transcript.pyannote[5153].end 28868.09346875
transcript.pyannote[5154].speaker SPEAKER_10
transcript.pyannote[5154].start 28868.56596875
transcript.pyannote[5154].end 28869.54471875
transcript.pyannote[5155].speaker SPEAKER_10
transcript.pyannote[5155].start 28870.13534375
transcript.pyannote[5155].end 28874.40471875
transcript.pyannote[5156].speaker SPEAKER_20
transcript.pyannote[5156].start 28874.52284375
transcript.pyannote[5156].end 28880.37846875
transcript.pyannote[5157].speaker SPEAKER_20
transcript.pyannote[5157].start 28880.96909375
transcript.pyannote[5157].end 28888.64721875
transcript.pyannote[5158].speaker SPEAKER_20
transcript.pyannote[5158].start 28888.98471875
transcript.pyannote[5158].end 28890.26721875
transcript.pyannote[5159].speaker SPEAKER_20
transcript.pyannote[5159].start 28890.55409375
transcript.pyannote[5159].end 28897.08471875
transcript.pyannote[5160].speaker SPEAKER_20
transcript.pyannote[5160].start 28897.70909375
transcript.pyannote[5160].end 28899.16034375
transcript.pyannote[5161].speaker SPEAKER_20
transcript.pyannote[5161].start 28899.48096875
transcript.pyannote[5161].end 28926.83534375
transcript.pyannote[5162].speaker SPEAKER_20
transcript.pyannote[5162].start 28927.45971875
transcript.pyannote[5162].end 28928.89409375
transcript.pyannote[5163].speaker SPEAKER_20
transcript.pyannote[5163].start 28929.01221875
transcript.pyannote[5163].end 28930.12596875
transcript.pyannote[5164].speaker SPEAKER_20
transcript.pyannote[5164].start 28930.36221875
transcript.pyannote[5164].end 28932.21846875
transcript.pyannote[5165].speaker SPEAKER_20
transcript.pyannote[5165].start 28932.91034375
transcript.pyannote[5165].end 28959.18471875
transcript.pyannote[5166].speaker SPEAKER_16
transcript.pyannote[5166].start 28960.02846875
transcript.pyannote[5166].end 28961.85096875
transcript.pyannote[5167].speaker SPEAKER_16
transcript.pyannote[5167].start 28962.03659375
transcript.pyannote[5167].end 28966.23846875
transcript.pyannote[5168].speaker SPEAKER_16
transcript.pyannote[5168].start 28966.40721875
transcript.pyannote[5168].end 28969.00596875
transcript.pyannote[5169].speaker SPEAKER_16
transcript.pyannote[5169].start 28969.37721875
transcript.pyannote[5169].end 28987.06221875
transcript.pyannote[5170].speaker SPEAKER_16
transcript.pyannote[5170].start 28987.45034375
transcript.pyannote[5170].end 29001.84471875
transcript.pyannote[5171].speaker SPEAKER_20
transcript.pyannote[5171].start 29001.38909375
transcript.pyannote[5171].end 29013.33659375
transcript.pyannote[5172].speaker SPEAKER_16
transcript.pyannote[5172].start 29002.73909375
transcript.pyannote[5172].end 29003.05971875
transcript.pyannote[5173].speaker SPEAKER_36
transcript.pyannote[5173].start 29010.41721875
transcript.pyannote[5173].end 29010.92346875
transcript.pyannote[5174].speaker SPEAKER_20
transcript.pyannote[5174].start 29013.75846875
transcript.pyannote[5174].end 29052.80721875
transcript.pyannote[5175].speaker SPEAKER_10
transcript.pyannote[5175].start 29053.00971875
transcript.pyannote[5175].end 29056.36784375
transcript.pyannote[5176].speaker SPEAKER_37
transcript.pyannote[5176].start 29061.37971875
transcript.pyannote[5176].end 29065.56471875
transcript.pyannote[5177].speaker SPEAKER_37
transcript.pyannote[5177].start 29066.05409375
transcript.pyannote[5177].end 29070.88034375
transcript.pyannote[5178].speaker SPEAKER_37
transcript.pyannote[5178].start 29071.25159375
transcript.pyannote[5178].end 29077.20846875
transcript.pyannote[5179].speaker SPEAKER_37
transcript.pyannote[5179].start 29078.62596875
transcript.pyannote[5179].end 29078.96346875
transcript.pyannote[5180].speaker SPEAKER_37
transcript.pyannote[5180].start 29080.21221875
transcript.pyannote[5180].end 29087.85659375
transcript.pyannote[5181].speaker SPEAKER_37
transcript.pyannote[5181].start 29692.90971875
transcript.pyannote[5181].end 29699.08596875
transcript.pyannote[5182].speaker SPEAKER_34
transcript.pyannote[5182].start 29705.41409375
transcript.pyannote[5182].end 29707.72596875
transcript.pyannote[5183].speaker SPEAKER_34
transcript.pyannote[5183].start 29708.19846875
transcript.pyannote[5183].end 29708.99159375
transcript.pyannote[5184].speaker SPEAKER_37
transcript.pyannote[5184].start 29709.68346875
transcript.pyannote[5184].end 29712.87284375
transcript.pyannote[5185].speaker SPEAKER_34
transcript.pyannote[5185].start 29725.27596875
transcript.pyannote[5185].end 29725.29284375
transcript.pyannote[5186].speaker SPEAKER_36
transcript.pyannote[5186].start 29725.29284375
transcript.pyannote[5186].end 29725.34346875
transcript.pyannote[5187].speaker SPEAKER_34
transcript.pyannote[5187].start 29725.34346875
transcript.pyannote[5187].end 29726.05221875
transcript.pyannote[5188].speaker SPEAKER_36
transcript.pyannote[5188].start 29725.37721875
transcript.pyannote[5188].end 29725.91721875
transcript.pyannote[5189].speaker SPEAKER_34
transcript.pyannote[5189].start 29727.06471875
transcript.pyannote[5189].end 29728.02659375
transcript.pyannote[5190].speaker SPEAKER_34
transcript.pyannote[5190].start 29728.14471875
transcript.pyannote[5190].end 29730.50721875
transcript.pyannote[5191].speaker SPEAKER_36
transcript.pyannote[5191].start 29728.22909375
transcript.pyannote[5191].end 29728.70159375
transcript.pyannote[5192].speaker SPEAKER_34
transcript.pyannote[5192].start 29731.06409375
transcript.pyannote[5192].end 29733.08909375
transcript.pyannote[5193].speaker SPEAKER_34
transcript.pyannote[5193].start 29733.71346875
transcript.pyannote[5193].end 29734.79346875
transcript.pyannote[5194].speaker SPEAKER_34
transcript.pyannote[5194].start 29734.97909375
transcript.pyannote[5194].end 29736.76784375
transcript.pyannote[5195].speaker SPEAKER_34
transcript.pyannote[5195].start 29737.20659375
transcript.pyannote[5195].end 29738.35409375
transcript.pyannote[5196].speaker SPEAKER_34
transcript.pyannote[5196].start 29738.60721875
transcript.pyannote[5196].end 29739.87284375
transcript.pyannote[5197].speaker SPEAKER_34
transcript.pyannote[5197].start 29740.34534375
transcript.pyannote[5197].end 29741.15534375
transcript.pyannote[5198].speaker SPEAKER_34
transcript.pyannote[5198].start 29741.91471875
transcript.pyannote[5198].end 29744.09159375
transcript.pyannote[5199].speaker SPEAKER_34
transcript.pyannote[5199].start 29744.49659375
transcript.pyannote[5199].end 29746.15034375
transcript.pyannote[5200].speaker SPEAKER_34
transcript.pyannote[5200].start 29746.87596875
transcript.pyannote[5200].end 29749.52534375
transcript.pyannote[5201].speaker SPEAKER_34
transcript.pyannote[5201].start 29749.72784375
transcript.pyannote[5201].end 29751.48284375
transcript.pyannote[5202].speaker SPEAKER_34
transcript.pyannote[5202].start 29752.02284375
transcript.pyannote[5202].end 29754.79034375
transcript.pyannote[5203].speaker SPEAKER_34
transcript.pyannote[5203].start 29755.68471875
transcript.pyannote[5203].end 29761.27034375
transcript.pyannote[5204].speaker SPEAKER_34
transcript.pyannote[5204].start 29761.79346875
transcript.pyannote[5204].end 29764.34159375
transcript.pyannote[5205].speaker SPEAKER_34
transcript.pyannote[5205].start 29765.13471875
transcript.pyannote[5205].end 29766.92346875
transcript.pyannote[5206].speaker SPEAKER_34
transcript.pyannote[5206].start 29767.31159375
transcript.pyannote[5206].end 29768.94846875
transcript.pyannote[5207].speaker SPEAKER_34
transcript.pyannote[5207].start 29769.47159375
transcript.pyannote[5207].end 29770.36596875
transcript.pyannote[5208].speaker SPEAKER_34
transcript.pyannote[5208].start 29770.88909375
transcript.pyannote[5208].end 29772.30659375
transcript.pyannote[5209].speaker SPEAKER_34
transcript.pyannote[5209].start 29772.69471875
transcript.pyannote[5209].end 29775.98534375
transcript.pyannote[5210].speaker SPEAKER_34
transcript.pyannote[5210].start 29776.52534375
transcript.pyannote[5210].end 29777.80784375
transcript.pyannote[5211].speaker SPEAKER_34
transcript.pyannote[5211].start 29778.28034375
transcript.pyannote[5211].end 29782.21221875
transcript.pyannote[5212].speaker SPEAKER_34
transcript.pyannote[5212].start 29782.97159375
transcript.pyannote[5212].end 29785.60409375
transcript.pyannote[5213].speaker SPEAKER_34
transcript.pyannote[5213].start 29785.80659375
transcript.pyannote[5213].end 29786.97096875
transcript.pyannote[5214].speaker SPEAKER_34
transcript.pyannote[5214].start 29787.42659375
transcript.pyannote[5214].end 29787.89909375
transcript.pyannote[5215].speaker SPEAKER_34
transcript.pyannote[5215].start 29788.57409375
transcript.pyannote[5215].end 29790.48096875
transcript.pyannote[5216].speaker SPEAKER_34
transcript.pyannote[5216].start 29791.15596875
transcript.pyannote[5216].end 29792.79284375
transcript.pyannote[5217].speaker SPEAKER_34
transcript.pyannote[5217].start 29793.19784375
transcript.pyannote[5217].end 29793.63659375
transcript.pyannote[5218].speaker SPEAKER_34
transcript.pyannote[5218].start 29793.94034375
transcript.pyannote[5218].end 29797.41659375
transcript.pyannote[5219].speaker SPEAKER_34
transcript.pyannote[5219].start 29797.60221875
transcript.pyannote[5219].end 29799.86346875
transcript.pyannote[5220].speaker SPEAKER_34
transcript.pyannote[5220].start 29800.23471875
transcript.pyannote[5220].end 29804.23409375
transcript.pyannote[5221].speaker SPEAKER_34
transcript.pyannote[5221].start 29804.74034375
transcript.pyannote[5221].end 29806.79909375
transcript.pyannote[5222].speaker SPEAKER_34
transcript.pyannote[5222].start 29807.17034375
transcript.pyannote[5222].end 29807.92971875
transcript.pyannote[5223].speaker SPEAKER_34
transcript.pyannote[5223].start 29808.85784375
transcript.pyannote[5223].end 29814.17346875
transcript.pyannote[5224].speaker SPEAKER_34
transcript.pyannote[5224].start 29814.30846875
transcript.pyannote[5224].end 29816.56971875
transcript.pyannote[5225].speaker SPEAKER_34
transcript.pyannote[5225].start 29816.94096875
transcript.pyannote[5225].end 29819.20221875
transcript.pyannote[5226].speaker SPEAKER_34
transcript.pyannote[5226].start 29819.59034375
transcript.pyannote[5226].end 29821.66596875
transcript.pyannote[5227].speaker SPEAKER_34
transcript.pyannote[5227].start 29821.96971875
transcript.pyannote[5227].end 29823.43784375
transcript.pyannote[5228].speaker SPEAKER_34
transcript.pyannote[5228].start 29823.75846875
transcript.pyannote[5228].end 29826.50909375
transcript.pyannote[5229].speaker SPEAKER_34
transcript.pyannote[5229].start 29827.01534375
transcript.pyannote[5229].end 29827.96034375
transcript.pyannote[5230].speaker SPEAKER_34
transcript.pyannote[5230].start 29828.11221875
transcript.pyannote[5230].end 29829.58034375
transcript.pyannote[5231].speaker SPEAKER_34
transcript.pyannote[5231].start 29830.03596875
transcript.pyannote[5231].end 29830.98096875
transcript.pyannote[5232].speaker SPEAKER_34
transcript.pyannote[5232].start 29831.36909375
transcript.pyannote[5232].end 29832.58409375
transcript.pyannote[5233].speaker SPEAKER_34
transcript.pyannote[5233].start 29832.93846875
transcript.pyannote[5233].end 29837.47784375
transcript.pyannote[5234].speaker SPEAKER_34
transcript.pyannote[5234].start 29837.79846875
transcript.pyannote[5234].end 29840.39721875
transcript.pyannote[5235].speaker SPEAKER_34
transcript.pyannote[5235].start 29840.65034375
transcript.pyannote[5235].end 29843.77221875
transcript.pyannote[5236].speaker SPEAKER_34
transcript.pyannote[5236].start 29844.10971875
transcript.pyannote[5236].end 29847.04596875
transcript.pyannote[5237].speaker SPEAKER_34
transcript.pyannote[5237].start 29847.31596875
transcript.pyannote[5237].end 29850.01596875
transcript.pyannote[5238].speaker SPEAKER_34
transcript.pyannote[5238].start 29850.45471875
transcript.pyannote[5238].end 29852.56409375
transcript.pyannote[5239].speaker SPEAKER_34
transcript.pyannote[5239].start 29853.13784375
transcript.pyannote[5239].end 29855.53409375
transcript.pyannote[5240].speaker SPEAKER_34
transcript.pyannote[5240].start 29855.65221875
transcript.pyannote[5240].end 29861.54159375
transcript.pyannote[5241].speaker SPEAKER_34
transcript.pyannote[5241].start 29862.04784375
transcript.pyannote[5241].end 29862.87471875
transcript.pyannote[5242].speaker SPEAKER_34
transcript.pyannote[5242].start 29863.33034375
transcript.pyannote[5242].end 29867.86971875
transcript.pyannote[5243].speaker SPEAKER_34
transcript.pyannote[5243].start 29868.08909375
transcript.pyannote[5243].end 29871.21096875
transcript.pyannote[5244].speaker SPEAKER_34
transcript.pyannote[5244].start 29871.56534375
transcript.pyannote[5244].end 29872.03784375
transcript.pyannote[5245].speaker SPEAKER_34
transcript.pyannote[5245].start 29872.32471875
transcript.pyannote[5245].end 29879.36159375
transcript.pyannote[5246].speaker SPEAKER_34
transcript.pyannote[5246].start 29879.69909375
transcript.pyannote[5246].end 29892.27096875
transcript.pyannote[5247].speaker SPEAKER_34
transcript.pyannote[5247].start 29892.37221875
transcript.pyannote[5247].end 29898.76784375
transcript.pyannote[5248].speaker SPEAKER_34
transcript.pyannote[5248].start 29899.15596875
transcript.pyannote[5248].end 29900.33721875
transcript.pyannote[5249].speaker SPEAKER_34
transcript.pyannote[5249].start 29900.77596875
transcript.pyannote[5249].end 29904.96096875
transcript.pyannote[5250].speaker SPEAKER_34
transcript.pyannote[5250].start 29905.33221875
transcript.pyannote[5250].end 29906.20971875
transcript.pyannote[5251].speaker SPEAKER_34
transcript.pyannote[5251].start 29906.81721875
transcript.pyannote[5251].end 29911.66034375
transcript.pyannote[5252].speaker SPEAKER_34
transcript.pyannote[5252].start 29911.82909375
transcript.pyannote[5252].end 29918.98409375
transcript.pyannote[5253].speaker SPEAKER_34
transcript.pyannote[5253].start 29919.35534375
transcript.pyannote[5253].end 29929.96971875
transcript.pyannote[5254].speaker SPEAKER_34
transcript.pyannote[5254].start 29930.27346875
transcript.pyannote[5254].end 29931.64034375
transcript.pyannote[5255].speaker SPEAKER_34
transcript.pyannote[5255].start 29931.82596875
transcript.pyannote[5255].end 29935.58909375
transcript.pyannote[5256].speaker SPEAKER_34
transcript.pyannote[5256].start 29935.80846875
transcript.pyannote[5256].end 29946.22034375
transcript.pyannote[5257].speaker SPEAKER_34
transcript.pyannote[5257].start 29946.64221875
transcript.pyannote[5257].end 29954.28659375
transcript.pyannote[5258].speaker SPEAKER_34
transcript.pyannote[5258].start 29954.52284375
transcript.pyannote[5258].end 29961.10409375
transcript.pyannote[5259].speaker SPEAKER_34
transcript.pyannote[5259].start 29961.79596875
transcript.pyannote[5259].end 29964.66471875
transcript.pyannote[5260].speaker SPEAKER_34
transcript.pyannote[5260].start 29964.98534375
transcript.pyannote[5260].end 29969.55846875
transcript.pyannote[5261].speaker SPEAKER_34
transcript.pyannote[5261].start 29969.74409375
transcript.pyannote[5261].end 29971.68471875
transcript.pyannote[5262].speaker SPEAKER_34
transcript.pyannote[5262].start 29972.14034375
transcript.pyannote[5262].end 29973.49034375
transcript.pyannote[5263].speaker SPEAKER_34
transcript.pyannote[5263].start 29973.72659375
transcript.pyannote[5263].end 29976.10596875
transcript.pyannote[5264].speaker SPEAKER_34
transcript.pyannote[5264].start 29976.46034375
transcript.pyannote[5264].end 29983.90221875
transcript.pyannote[5265].speaker SPEAKER_34
transcript.pyannote[5265].start 29984.34096875
transcript.pyannote[5265].end 29985.77534375
transcript.pyannote[5266].speaker SPEAKER_34
transcript.pyannote[5266].start 29986.06221875
transcript.pyannote[5266].end 29989.08284375
transcript.pyannote[5267].speaker SPEAKER_34
transcript.pyannote[5267].start 29989.48784375
transcript.pyannote[5267].end 29990.26409375
transcript.pyannote[5268].speaker SPEAKER_34
transcript.pyannote[5268].start 29990.82096875
transcript.pyannote[5268].end 29991.34409375
transcript.pyannote[5269].speaker SPEAKER_34
transcript.pyannote[5269].start 29992.28909375
transcript.pyannote[5269].end 30010.34534375
transcript.pyannote[5270].speaker SPEAKER_34
transcript.pyannote[5270].start 30010.76721875
transcript.pyannote[5270].end 30013.63596875
transcript.pyannote[5271].speaker SPEAKER_34
transcript.pyannote[5271].start 30013.85534375
transcript.pyannote[5271].end 30048.83721875
transcript.pyannote[5272].speaker SPEAKER_34
transcript.pyannote[5272].start 30049.12409375
transcript.pyannote[5272].end 30049.56284375
transcript.pyannote[5273].speaker SPEAKER_34
transcript.pyannote[5273].start 30049.76534375
transcript.pyannote[5273].end 30052.70159375
transcript.pyannote[5274].speaker SPEAKER_34
transcript.pyannote[5274].start 30052.95471875
transcript.pyannote[5274].end 30060.14346875
transcript.pyannote[5275].speaker SPEAKER_34
transcript.pyannote[5275].start 30060.16034375
transcript.pyannote[5275].end 30060.19409375
transcript.pyannote[5276].speaker SPEAKER_34
transcript.pyannote[5276].start 30060.43034375
transcript.pyannote[5276].end 30065.66159375
transcript.pyannote[5277].speaker SPEAKER_34
transcript.pyannote[5277].start 30065.88096875
transcript.pyannote[5277].end 30069.45846875
transcript.pyannote[5278].speaker SPEAKER_34
transcript.pyannote[5278].start 30069.93096875
transcript.pyannote[5278].end 30070.30221875
transcript.pyannote[5279].speaker SPEAKER_34
transcript.pyannote[5279].start 30070.47096875
transcript.pyannote[5279].end 30082.43534375
transcript.pyannote[5280].speaker SPEAKER_34
transcript.pyannote[5280].start 30082.80659375
transcript.pyannote[5280].end 30087.46409375
transcript.pyannote[5281].speaker SPEAKER_34
transcript.pyannote[5281].start 30087.91971875
transcript.pyannote[5281].end 30089.42159375
transcript.pyannote[5282].speaker SPEAKER_34
transcript.pyannote[5282].start 30089.99534375
transcript.pyannote[5282].end 30093.82596875
transcript.pyannote[5283].speaker SPEAKER_34
transcript.pyannote[5283].start 30094.11284375
transcript.pyannote[5283].end 30096.55971875
transcript.pyannote[5284].speaker SPEAKER_34
transcript.pyannote[5284].start 30096.72846875
transcript.pyannote[5284].end 30103.56284375
transcript.pyannote[5285].speaker SPEAKER_34
transcript.pyannote[5285].start 30104.00159375
transcript.pyannote[5285].end 30108.69284375
transcript.pyannote[5286].speaker SPEAKER_34
transcript.pyannote[5286].start 30108.91221875
transcript.pyannote[5286].end 30112.54034375
transcript.pyannote[5287].speaker SPEAKER_34
transcript.pyannote[5287].start 30112.75971875
transcript.pyannote[5287].end 30114.86909375
transcript.pyannote[5288].speaker SPEAKER_34
transcript.pyannote[5288].start 30114.98721875
transcript.pyannote[5288].end 30116.74221875
transcript.pyannote[5289].speaker SPEAKER_34
transcript.pyannote[5289].start 30117.01221875
transcript.pyannote[5289].end 30118.66596875
transcript.pyannote[5290].speaker SPEAKER_34
transcript.pyannote[5290].start 30118.91909375
transcript.pyannote[5290].end 30120.77534375
transcript.pyannote[5291].speaker SPEAKER_34
transcript.pyannote[5291].start 30120.91034375
transcript.pyannote[5291].end 30122.47971875
transcript.pyannote[5292].speaker SPEAKER_34
transcript.pyannote[5292].start 30122.85096875
transcript.pyannote[5292].end 30124.67346875
transcript.pyannote[5293].speaker SPEAKER_34
transcript.pyannote[5293].start 30125.21346875
transcript.pyannote[5293].end 30136.75596875
transcript.pyannote[5294].speaker SPEAKER_34
transcript.pyannote[5294].start 30137.12721875
transcript.pyannote[5294].end 30137.68409375
transcript.pyannote[5295].speaker SPEAKER_34
transcript.pyannote[5295].start 30138.19034375
transcript.pyannote[5295].end 30142.27409375
transcript.pyannote[5296].speaker SPEAKER_34
transcript.pyannote[5296].start 30142.88159375
transcript.pyannote[5296].end 30148.33221875
transcript.pyannote[5297].speaker SPEAKER_34
transcript.pyannote[5297].start 30148.60221875
transcript.pyannote[5297].end 30153.44534375
transcript.pyannote[5298].speaker SPEAKER_34
transcript.pyannote[5298].start 30153.85034375
transcript.pyannote[5298].end 30156.04409375
transcript.pyannote[5299].speaker SPEAKER_34
transcript.pyannote[5299].start 30156.29721875
transcript.pyannote[5299].end 30158.71034375
transcript.pyannote[5300].speaker SPEAKER_34
transcript.pyannote[5300].start 30158.87909375
transcript.pyannote[5300].end 30160.98846875
transcript.pyannote[5301].speaker SPEAKER_34
transcript.pyannote[5301].start 30161.86596875
transcript.pyannote[5301].end 30166.94534375
transcript.pyannote[5302].speaker SPEAKER_34
transcript.pyannote[5302].start 30167.19846875
transcript.pyannote[5302].end 30168.59909375
transcript.pyannote[5303].speaker SPEAKER_34
transcript.pyannote[5303].start 30169.00409375
transcript.pyannote[5303].end 30171.60284375
transcript.pyannote[5304].speaker SPEAKER_34
transcript.pyannote[5304].start 30171.63659375
transcript.pyannote[5304].end 30174.03284375
transcript.pyannote[5305].speaker SPEAKER_34
transcript.pyannote[5305].start 30174.42096875
transcript.pyannote[5305].end 30175.90596875
transcript.pyannote[5306].speaker SPEAKER_34
transcript.pyannote[5306].start 30176.37846875
transcript.pyannote[5306].end 30177.69471875
transcript.pyannote[5307].speaker SPEAKER_34
transcript.pyannote[5307].start 30178.18409375
transcript.pyannote[5307].end 30184.29284375
transcript.pyannote[5308].speaker SPEAKER_34
transcript.pyannote[5308].start 30184.57971875
transcript.pyannote[5308].end 30185.11971875
transcript.pyannote[5309].speaker SPEAKER_34
transcript.pyannote[5309].start 30185.32221875
transcript.pyannote[5309].end 30188.83221875
transcript.pyannote[5310].speaker SPEAKER_34
transcript.pyannote[5310].start 30189.05159375
transcript.pyannote[5310].end 30190.90784375
transcript.pyannote[5311].speaker SPEAKER_34
transcript.pyannote[5311].start 30191.04284375
transcript.pyannote[5311].end 30191.51534375
transcript.pyannote[5312].speaker SPEAKER_34
transcript.pyannote[5312].start 30192.05534375
transcript.pyannote[5312].end 30199.02471875
transcript.pyannote[5313].speaker SPEAKER_34
transcript.pyannote[5313].start 30199.07534375
transcript.pyannote[5313].end 30204.30659375
transcript.pyannote[5314].speaker SPEAKER_34
transcript.pyannote[5314].start 30204.67784375
transcript.pyannote[5314].end 30218.78534375
transcript.pyannote[5315].speaker SPEAKER_34
transcript.pyannote[5315].start 30219.51096875
transcript.pyannote[5315].end 30224.67471875
transcript.pyannote[5316].speaker SPEAKER_34
transcript.pyannote[5316].start 30224.84346875
transcript.pyannote[5316].end 30225.65346875
transcript.pyannote[5317].speaker SPEAKER_34
transcript.pyannote[5317].start 30225.88971875
transcript.pyannote[5317].end 30230.02409375
transcript.pyannote[5318].speaker SPEAKER_34
transcript.pyannote[5318].start 30230.81721875
transcript.pyannote[5318].end 30233.04471875
transcript.pyannote[5319].speaker SPEAKER_34
transcript.pyannote[5319].start 30233.21346875
transcript.pyannote[5319].end 30234.02346875
transcript.pyannote[5320].speaker SPEAKER_34
transcript.pyannote[5320].start 30234.25971875
transcript.pyannote[5320].end 30238.25909375
transcript.pyannote[5321].speaker SPEAKER_34
transcript.pyannote[5321].start 30238.57971875
transcript.pyannote[5321].end 30239.81159375
transcript.pyannote[5322].speaker SPEAKER_34
transcript.pyannote[5322].start 30240.33471875
transcript.pyannote[5322].end 30245.71784375
transcript.pyannote[5323].speaker SPEAKER_36
transcript.pyannote[5323].start 30245.71784375
transcript.pyannote[5323].end 30245.85284375
transcript.pyannote[5324].speaker SPEAKER_34
transcript.pyannote[5324].start 30246.24096875
transcript.pyannote[5324].end 30247.65846875
transcript.pyannote[5325].speaker SPEAKER_34
transcript.pyannote[5325].start 30247.86096875
transcript.pyannote[5325].end 30252.75471875
transcript.pyannote[5326].speaker SPEAKER_34
transcript.pyannote[5326].start 30253.05846875
transcript.pyannote[5326].end 30258.39096875
transcript.pyannote[5327].speaker SPEAKER_34
transcript.pyannote[5327].start 30258.96471875
transcript.pyannote[5327].end 30273.22409375
transcript.pyannote[5328].speaker SPEAKER_34
transcript.pyannote[5328].start 30273.57846875
transcript.pyannote[5328].end 30274.11846875
transcript.pyannote[5329].speaker SPEAKER_34
transcript.pyannote[5329].start 30274.62471875
transcript.pyannote[5329].end 30279.40034375
transcript.pyannote[5330].speaker SPEAKER_34
transcript.pyannote[5330].start 30279.61971875
transcript.pyannote[5330].end 30287.43284375
transcript.pyannote[5331].speaker SPEAKER_34
transcript.pyannote[5331].start 30287.65221875
transcript.pyannote[5331].end 30296.41034375
transcript.pyannote[5332].speaker SPEAKER_34
transcript.pyannote[5332].start 30296.71409375
transcript.pyannote[5332].end 30297.37221875
transcript.pyannote[5333].speaker SPEAKER_34
transcript.pyannote[5333].start 30297.55784375
transcript.pyannote[5333].end 30302.83971875
transcript.pyannote[5334].speaker SPEAKER_34
transcript.pyannote[5334].start 30303.29534375
transcript.pyannote[5334].end 30305.38784375
transcript.pyannote[5335].speaker SPEAKER_34
transcript.pyannote[5335].start 30305.52284375
transcript.pyannote[5335].end 30309.52221875
transcript.pyannote[5336].speaker SPEAKER_34
transcript.pyannote[5336].start 30310.01159375
transcript.pyannote[5336].end 30314.33159375
transcript.pyannote[5337].speaker SPEAKER_34
transcript.pyannote[5337].start 30314.77034375
transcript.pyannote[5337].end 30328.08471875
transcript.pyannote[5338].speaker SPEAKER_34
transcript.pyannote[5338].start 30328.33784375
transcript.pyannote[5338].end 30333.41721875
transcript.pyannote[5339].speaker SPEAKER_34
transcript.pyannote[5339].start 30333.72096875
transcript.pyannote[5339].end 30367.84221875
transcript.pyannote[5340].speaker SPEAKER_34
transcript.pyannote[5340].start 30367.92659375
transcript.pyannote[5340].end 30369.78284375
transcript.pyannote[5341].speaker SPEAKER_34
transcript.pyannote[5341].start 30370.20471875
transcript.pyannote[5341].end 30371.21721875
transcript.pyannote[5342].speaker SPEAKER_34
transcript.pyannote[5342].start 30371.28471875
transcript.pyannote[5342].end 30373.44471875
transcript.pyannote[5343].speaker SPEAKER_34
transcript.pyannote[5343].start 30373.93409375
transcript.pyannote[5343].end 30378.05159375
transcript.pyannote[5344].speaker SPEAKER_34
transcript.pyannote[5344].start 30378.65909375
transcript.pyannote[5344].end 30388.04159375
transcript.pyannote[5345].speaker SPEAKER_34
transcript.pyannote[5345].start 30388.10909375
transcript.pyannote[5345].end 30393.22221875
transcript.pyannote[5346].speaker SPEAKER_34
transcript.pyannote[5346].start 30393.47534375
transcript.pyannote[5346].end 30401.30534375
transcript.pyannote[5347].speaker SPEAKER_34
transcript.pyannote[5347].start 30401.77784375
transcript.pyannote[5347].end 30404.78159375
transcript.pyannote[5348].speaker SPEAKER_34
transcript.pyannote[5348].start 30404.93346875
transcript.pyannote[5348].end 30406.67159375
transcript.pyannote[5349].speaker SPEAKER_34
transcript.pyannote[5349].start 30407.02596875
transcript.pyannote[5349].end 30408.13971875
transcript.pyannote[5350].speaker SPEAKER_34
transcript.pyannote[5350].start 30408.81471875
transcript.pyannote[5350].end 30414.40034375
transcript.pyannote[5351].speaker SPEAKER_34
transcript.pyannote[5351].start 30414.68721875
transcript.pyannote[5351].end 30417.69096875
transcript.pyannote[5352].speaker SPEAKER_34
transcript.pyannote[5352].start 30417.74159375
transcript.pyannote[5352].end 30420.28971875
transcript.pyannote[5353].speaker SPEAKER_34
transcript.pyannote[5353].start 30420.64409375
transcript.pyannote[5353].end 30428.67659375
transcript.pyannote[5354].speaker SPEAKER_00
transcript.pyannote[5354].start 30421.25159375
transcript.pyannote[5354].end 30421.82534375
transcript.pyannote[5355].speaker SPEAKER_34
transcript.pyannote[5355].start 30428.99721875
transcript.pyannote[5355].end 30434.56596875
transcript.pyannote[5356].speaker SPEAKER_34
transcript.pyannote[5356].start 30435.13971875
transcript.pyannote[5356].end 30445.53471875
transcript.pyannote[5357].speaker SPEAKER_11
transcript.pyannote[5357].start 30445.66971875
transcript.pyannote[5357].end 30446.02409375
transcript.pyannote[5358].speaker SPEAKER_34
transcript.pyannote[5358].start 30446.22659375
transcript.pyannote[5358].end 30452.85846875
transcript.pyannote[5359].speaker SPEAKER_34
transcript.pyannote[5359].start 30453.31409375
transcript.pyannote[5359].end 30464.63721875
transcript.pyannote[5360].speaker SPEAKER_34
transcript.pyannote[5360].start 30464.85659375
transcript.pyannote[5360].end 30471.26909375
transcript.pyannote[5361].speaker SPEAKER_34
transcript.pyannote[5361].start 30471.58971875
transcript.pyannote[5361].end 30474.01971875
transcript.pyannote[5362].speaker SPEAKER_34
transcript.pyannote[5362].start 30475.23471875
transcript.pyannote[5362].end 30477.34409375
transcript.pyannote[5363].speaker SPEAKER_34
transcript.pyannote[5363].start 30477.81659375
transcript.pyannote[5363].end 30490.11846875
transcript.pyannote[5364].speaker SPEAKER_34
transcript.pyannote[5364].start 30490.38846875
transcript.pyannote[5364].end 30491.24909375
transcript.pyannote[5365].speaker SPEAKER_34
transcript.pyannote[5365].start 30491.53596875
transcript.pyannote[5365].end 30495.13034375
transcript.pyannote[5366].speaker SPEAKER_34
transcript.pyannote[5366].start 30495.67034375
transcript.pyannote[5366].end 30497.32409375
transcript.pyannote[5367].speaker SPEAKER_34
transcript.pyannote[5367].start 30497.71221875
transcript.pyannote[5367].end 30501.39096875
transcript.pyannote[5368].speaker SPEAKER_34
transcript.pyannote[5368].start 30501.67784375
transcript.pyannote[5368].end 30503.09534375
transcript.pyannote[5369].speaker SPEAKER_34
transcript.pyannote[5369].start 30503.66909375
transcript.pyannote[5369].end 30505.32284375
transcript.pyannote[5370].speaker SPEAKER_34
transcript.pyannote[5370].start 30505.62659375
transcript.pyannote[5370].end 30506.20034375
transcript.pyannote[5371].speaker SPEAKER_34
transcript.pyannote[5371].start 30506.74034375
transcript.pyannote[5371].end 30507.90471875
transcript.pyannote[5372].speaker SPEAKER_34
transcript.pyannote[5372].start 30508.22534375
transcript.pyannote[5372].end 30510.21659375
transcript.pyannote[5373].speaker SPEAKER_34
transcript.pyannote[5373].start 30510.46971875
transcript.pyannote[5373].end 30512.20784375
transcript.pyannote[5374].speaker SPEAKER_34
transcript.pyannote[5374].start 30512.54534375
transcript.pyannote[5374].end 30516.30846875
transcript.pyannote[5375].speaker SPEAKER_34
transcript.pyannote[5375].start 30516.66284375
transcript.pyannote[5375].end 30519.02534375
transcript.pyannote[5376].speaker SPEAKER_34
transcript.pyannote[5376].start 30519.34596875
transcript.pyannote[5376].end 30521.59034375
transcript.pyannote[5377].speaker SPEAKER_34
transcript.pyannote[5377].start 30522.34971875
transcript.pyannote[5377].end 30530.12909375
transcript.pyannote[5378].speaker SPEAKER_34
transcript.pyannote[5378].start 30530.26409375
transcript.pyannote[5378].end 30535.93409375
transcript.pyannote[5379].speaker SPEAKER_34
transcript.pyannote[5379].start 30536.03534375
transcript.pyannote[5379].end 30540.40596875
transcript.pyannote[5380].speaker SPEAKER_34
transcript.pyannote[5380].start 30540.69284375
transcript.pyannote[5380].end 30551.25659375
transcript.pyannote[5381].speaker SPEAKER_34
transcript.pyannote[5381].start 30551.64471875
transcript.pyannote[5381].end 30560.50409375
transcript.pyannote[5382].speaker SPEAKER_34
transcript.pyannote[5382].start 30560.55471875
transcript.pyannote[5382].end 30571.96221875
transcript.pyannote[5383].speaker SPEAKER_34
transcript.pyannote[5383].start 30572.60346875
transcript.pyannote[5383].end 30588.38159375
transcript.pyannote[5384].speaker SPEAKER_34
transcript.pyannote[5384].start 30589.29284375
transcript.pyannote[5384].end 30592.16159375
transcript.pyannote[5385].speaker SPEAKER_34
transcript.pyannote[5385].start 30592.26284375
transcript.pyannote[5385].end 30599.70471875
transcript.pyannote[5386].speaker SPEAKER_34
transcript.pyannote[5386].start 30600.02534375
transcript.pyannote[5386].end 30602.32034375
transcript.pyannote[5387].speaker SPEAKER_34
transcript.pyannote[5387].start 30602.53971875
transcript.pyannote[5387].end 30608.98596875
transcript.pyannote[5388].speaker SPEAKER_34
transcript.pyannote[5388].start 30609.18846875
transcript.pyannote[5388].end 30612.78284375
transcript.pyannote[5389].speaker SPEAKER_34
transcript.pyannote[5389].start 30612.96846875
transcript.pyannote[5389].end 30621.10221875
transcript.pyannote[5390].speaker SPEAKER_37
transcript.pyannote[5390].start 30622.24971875
transcript.pyannote[5390].end 30624.84846875
transcript.pyannote[5391].speaker SPEAKER_37
transcript.pyannote[5391].start 30625.10159375
transcript.pyannote[5391].end 30626.92409375
transcript.pyannote[5392].speaker SPEAKER_34
transcript.pyannote[5392].start 30625.18596875
transcript.pyannote[5392].end 30626.08034375
transcript.pyannote[5393].speaker SPEAKER_00
transcript.pyannote[5393].start 30626.08034375
transcript.pyannote[5393].end 30626.09721875
transcript.pyannote[5394].speaker SPEAKER_37
transcript.pyannote[5394].start 30629.72534375
transcript.pyannote[5394].end 30630.48471875
transcript.pyannote[5395].speaker SPEAKER_37
transcript.pyannote[5395].start 30640.50846875
transcript.pyannote[5395].end 30643.49534375
transcript.pyannote[5396].speaker SPEAKER_37
transcript.pyannote[5396].start 30643.95096875
transcript.pyannote[5396].end 30645.53721875
transcript.pyannote[5397].speaker SPEAKER_04
transcript.pyannote[5397].start 30649.26659375
transcript.pyannote[5397].end 30652.50659375
transcript.pyannote[5398].speaker SPEAKER_37
transcript.pyannote[5398].start 30652.27034375
transcript.pyannote[5398].end 30653.99159375
transcript.pyannote[5399].speaker SPEAKER_04
transcript.pyannote[5399].start 30665.26409375
transcript.pyannote[5399].end 30665.97284375
transcript.pyannote[5400].speaker SPEAKER_09
transcript.pyannote[5400].start 30665.85471875
transcript.pyannote[5400].end 30667.13721875
transcript.pyannote[5401].speaker SPEAKER_05
transcript.pyannote[5401].start 30665.97284375
transcript.pyannote[5401].end 30667.93034375
transcript.pyannote[5402].speaker SPEAKER_04
transcript.pyannote[5402].start 30667.93034375
transcript.pyannote[5402].end 30667.94721875
transcript.pyannote[5403].speaker SPEAKER_05
transcript.pyannote[5403].start 30668.13284375
transcript.pyannote[5403].end 30671.25471875
transcript.pyannote[5404].speaker SPEAKER_05
transcript.pyannote[5404].start 30671.86221875
transcript.pyannote[5404].end 30675.59159375
transcript.pyannote[5405].speaker SPEAKER_05
transcript.pyannote[5405].start 30676.03034375
transcript.pyannote[5405].end 30679.89471875
transcript.pyannote[5406].speaker SPEAKER_05
transcript.pyannote[5406].start 30679.92846875
transcript.pyannote[5406].end 30681.00846875
transcript.pyannote[5407].speaker SPEAKER_05
transcript.pyannote[5407].start 30681.37971875
transcript.pyannote[5407].end 30682.49346875
transcript.pyannote[5408].speaker SPEAKER_05
transcript.pyannote[5408].start 30683.05034375
transcript.pyannote[5408].end 30685.93596875
transcript.pyannote[5409].speaker SPEAKER_05
transcript.pyannote[5409].start 30686.52659375
transcript.pyannote[5409].end 30690.18846875
transcript.pyannote[5410].speaker SPEAKER_05
transcript.pyannote[5410].start 30690.45846875
transcript.pyannote[5410].end 30696.80346875
transcript.pyannote[5411].speaker SPEAKER_05
transcript.pyannote[5411].start 30697.22534375
transcript.pyannote[5411].end 30698.22096875
transcript.pyannote[5412].speaker SPEAKER_05
transcript.pyannote[5412].start 30698.79471875
transcript.pyannote[5412].end 30700.83659375
transcript.pyannote[5413].speaker SPEAKER_05
transcript.pyannote[5413].start 30701.29221875
transcript.pyannote[5413].end 30703.21596875
transcript.pyannote[5414].speaker SPEAKER_05
transcript.pyannote[5414].start 30703.82346875
transcript.pyannote[5414].end 30722.09909375
transcript.pyannote[5415].speaker SPEAKER_05
transcript.pyannote[5415].start 30722.26784375
transcript.pyannote[5415].end 30726.52034375
transcript.pyannote[5416].speaker SPEAKER_05
transcript.pyannote[5416].start 30726.97596875
transcript.pyannote[5416].end 30739.07534375
transcript.pyannote[5417].speaker SPEAKER_05
transcript.pyannote[5417].start 30739.71659375
transcript.pyannote[5417].end 30741.43784375
transcript.pyannote[5418].speaker SPEAKER_05
transcript.pyannote[5418].start 30742.28159375
transcript.pyannote[5418].end 30752.28846875
transcript.pyannote[5419].speaker SPEAKER_05
transcript.pyannote[5419].start 30752.91284375
transcript.pyannote[5419].end 30753.03096875
transcript.pyannote[5420].speaker SPEAKER_05
transcript.pyannote[5420].start 30753.08159375
transcript.pyannote[5420].end 30757.08096875
transcript.pyannote[5421].speaker SPEAKER_05
transcript.pyannote[5421].start 30757.58721875
transcript.pyannote[5421].end 30766.73346875
transcript.pyannote[5422].speaker SPEAKER_05
transcript.pyannote[5422].start 30767.18909375
transcript.pyannote[5422].end 30783.77721875
transcript.pyannote[5423].speaker SPEAKER_10
transcript.pyannote[5423].start 30784.40159375
transcript.pyannote[5423].end 30788.08034375
transcript.pyannote[5424].speaker SPEAKER_10
transcript.pyannote[5424].start 30788.31659375
transcript.pyannote[5424].end 30790.89846875
transcript.pyannote[5425].speaker SPEAKER_10
transcript.pyannote[5425].start 30791.11784375
transcript.pyannote[5425].end 30793.00784375
transcript.pyannote[5426].speaker SPEAKER_10
transcript.pyannote[5426].start 30793.51409375
transcript.pyannote[5426].end 30796.72034375
transcript.pyannote[5427].speaker SPEAKER_10
transcript.pyannote[5427].start 30796.97346875
transcript.pyannote[5427].end 30798.23909375
transcript.pyannote[5428].speaker SPEAKER_10
transcript.pyannote[5428].start 30798.54284375
transcript.pyannote[5428].end 30801.83346875
transcript.pyannote[5429].speaker SPEAKER_10
transcript.pyannote[5429].start 30802.18784375
transcript.pyannote[5429].end 30803.28471875
transcript.pyannote[5430].speaker SPEAKER_10
transcript.pyannote[5430].start 30804.61784375
transcript.pyannote[5430].end 30805.14096875
transcript.pyannote[5431].speaker SPEAKER_10
transcript.pyannote[5431].start 30805.46159375
transcript.pyannote[5431].end 30806.81159375
transcript.pyannote[5432].speaker SPEAKER_10
transcript.pyannote[5432].start 30807.08159375
transcript.pyannote[5432].end 30808.27971875
transcript.pyannote[5433].speaker SPEAKER_10
transcript.pyannote[5433].start 30808.70159375
transcript.pyannote[5433].end 30810.84471875
transcript.pyannote[5434].speaker SPEAKER_10
transcript.pyannote[5434].start 30811.21596875
transcript.pyannote[5434].end 30813.81471875
transcript.pyannote[5435].speaker SPEAKER_10
transcript.pyannote[5435].start 30813.96659375
transcript.pyannote[5435].end 30817.37534375
transcript.pyannote[5436].speaker SPEAKER_10
transcript.pyannote[5436].start 30817.52721875
transcript.pyannote[5436].end 30819.38346875
transcript.pyannote[5437].speaker SPEAKER_10
transcript.pyannote[5437].start 30819.72096875
transcript.pyannote[5437].end 30822.43784375
transcript.pyannote[5438].speaker SPEAKER_10
transcript.pyannote[5438].start 30822.75846875
transcript.pyannote[5438].end 30824.26034375
transcript.pyannote[5439].speaker SPEAKER_10
transcript.pyannote[5439].start 30824.44596875
transcript.pyannote[5439].end 30829.20471875
transcript.pyannote[5440].speaker SPEAKER_10
transcript.pyannote[5440].start 30829.49159375
transcript.pyannote[5440].end 30830.87534375
transcript.pyannote[5441].speaker SPEAKER_10
transcript.pyannote[5441].start 30830.99346875
transcript.pyannote[5441].end 30832.59659375
transcript.pyannote[5442].speaker SPEAKER_04
transcript.pyannote[5442].start 30832.78221875
transcript.pyannote[5442].end 30833.54159375
transcript.pyannote[5443].speaker SPEAKER_10
transcript.pyannote[5443].start 30833.65971875
transcript.pyannote[5443].end 30835.68471875
transcript.pyannote[5444].speaker SPEAKER_04
transcript.pyannote[5444].start 30834.95909375
transcript.pyannote[5444].end 30837.52409375
transcript.pyannote[5445].speaker SPEAKER_10
transcript.pyannote[5445].start 30836.42721875
transcript.pyannote[5445].end 30836.46096875
transcript.pyannote[5446].speaker SPEAKER_10
transcript.pyannote[5446].start 30837.25409375
transcript.pyannote[5446].end 30839.76846875
transcript.pyannote[5447].speaker SPEAKER_10
transcript.pyannote[5447].start 30839.85284375
transcript.pyannote[5447].end 30850.63596875
transcript.pyannote[5448].speaker SPEAKER_04
transcript.pyannote[5448].start 30842.11409375
transcript.pyannote[5448].end 30843.14346875
transcript.pyannote[5449].speaker SPEAKER_05
transcript.pyannote[5449].start 30849.82596875
transcript.pyannote[5449].end 30859.29284375
transcript.pyannote[5450].speaker SPEAKER_05
transcript.pyannote[5450].start 30859.79909375
transcript.pyannote[5450].end 30868.37159375
transcript.pyannote[5451].speaker SPEAKER_06
transcript.pyannote[5451].start 30860.52471875
transcript.pyannote[5451].end 30861.41909375
transcript.pyannote[5452].speaker SPEAKER_06
transcript.pyannote[5452].start 30865.08096875
transcript.pyannote[5452].end 30865.11471875
transcript.pyannote[5453].speaker SPEAKER_10
transcript.pyannote[5453].start 30865.11471875
transcript.pyannote[5453].end 30866.26221875
transcript.pyannote[5454].speaker SPEAKER_10
transcript.pyannote[5454].start 30866.97096875
transcript.pyannote[5454].end 30870.56534375
transcript.pyannote[5455].speaker SPEAKER_05
transcript.pyannote[5455].start 30869.99159375
transcript.pyannote[5455].end 30871.30784375
transcript.pyannote[5456].speaker SPEAKER_05
transcript.pyannote[5456].start 30871.72971875
transcript.pyannote[5456].end 30891.57471875
transcript.pyannote[5457].speaker SPEAKER_36
transcript.pyannote[5457].start 30887.40659375
transcript.pyannote[5457].end 30887.42346875
transcript.pyannote[5458].speaker SPEAKER_10
transcript.pyannote[5458].start 30887.42346875
transcript.pyannote[5458].end 30888.21659375
transcript.pyannote[5459].speaker SPEAKER_10
transcript.pyannote[5459].start 30888.65534375
transcript.pyannote[5459].end 30889.81971875
transcript.pyannote[5460].speaker SPEAKER_10
transcript.pyannote[5460].start 30891.18659375
transcript.pyannote[5460].end 30892.41846875
transcript.pyannote[5461].speaker SPEAKER_10
transcript.pyannote[5461].start 30892.89096875
transcript.pyannote[5461].end 30895.84409375
transcript.pyannote[5462].speaker SPEAKER_05
transcript.pyannote[5462].start 30896.35034375
transcript.pyannote[5462].end 30897.34596875
transcript.pyannote[5463].speaker SPEAKER_10
transcript.pyannote[5463].start 30897.29534375
transcript.pyannote[5463].end 30897.56534375
transcript.pyannote[5464].speaker SPEAKER_05
transcript.pyannote[5464].start 30897.61596875
transcript.pyannote[5464].end 30899.10096875
transcript.pyannote[5465].speaker SPEAKER_05
transcript.pyannote[5465].start 30899.28659375
transcript.pyannote[5465].end 30900.29909375
transcript.pyannote[5466].speaker SPEAKER_10
transcript.pyannote[5466].start 30900.24846875
transcript.pyannote[5466].end 30900.46784375
transcript.pyannote[5467].speaker SPEAKER_05
transcript.pyannote[5467].start 30900.55221875
transcript.pyannote[5467].end 30903.04971875
transcript.pyannote[5468].speaker SPEAKER_05
transcript.pyannote[5468].start 30903.08346875
transcript.pyannote[5468].end 30905.12534375
transcript.pyannote[5469].speaker SPEAKER_10
transcript.pyannote[5469].start 30904.28159375
transcript.pyannote[5469].end 30910.03596875
transcript.pyannote[5470].speaker SPEAKER_10
transcript.pyannote[5470].start 30910.17096875
transcript.pyannote[5470].end 30911.50409375
transcript.pyannote[5471].speaker SPEAKER_10
transcript.pyannote[5471].start 30911.60534375
transcript.pyannote[5471].end 30912.83721875
transcript.pyannote[5472].speaker SPEAKER_05
transcript.pyannote[5472].start 30911.75721875
transcript.pyannote[5472].end 30913.59659375
transcript.pyannote[5473].speaker SPEAKER_05
transcript.pyannote[5473].start 30914.00159375
transcript.pyannote[5473].end 30919.18221875
transcript.pyannote[5474].speaker SPEAKER_05
transcript.pyannote[5474].start 30919.53659375
transcript.pyannote[5474].end 30922.57409375
transcript.pyannote[5475].speaker SPEAKER_10
transcript.pyannote[5475].start 30920.71784375
transcript.pyannote[5475].end 30920.90346875
transcript.pyannote[5476].speaker SPEAKER_10
transcript.pyannote[5476].start 30922.45596875
transcript.pyannote[5476].end 30930.80909375
transcript.pyannote[5477].speaker SPEAKER_05
transcript.pyannote[5477].start 30930.92721875
transcript.pyannote[5477].end 30933.13784375
transcript.pyannote[5478].speaker SPEAKER_10
transcript.pyannote[5478].start 30931.07909375
transcript.pyannote[5478].end 30931.34909375
transcript.pyannote[5479].speaker SPEAKER_10
transcript.pyannote[5479].start 30933.13784375
transcript.pyannote[5479].end 30933.15471875
transcript.pyannote[5480].speaker SPEAKER_10
transcript.pyannote[5480].start 30933.54284375
transcript.pyannote[5480].end 30936.22596875
transcript.pyannote[5481].speaker SPEAKER_05
transcript.pyannote[5481].start 30936.58034375
transcript.pyannote[5481].end 30940.76534375
transcript.pyannote[5482].speaker SPEAKER_10
transcript.pyannote[5482].start 30940.14096875
transcript.pyannote[5482].end 30944.12346875
transcript.pyannote[5483].speaker SPEAKER_05
transcript.pyannote[5483].start 30944.69721875
transcript.pyannote[5483].end 30955.91909375
transcript.pyannote[5484].speaker SPEAKER_10
transcript.pyannote[5484].start 30946.92471875
transcript.pyannote[5484].end 30947.16096875
transcript.pyannote[5485].speaker SPEAKER_10
transcript.pyannote[5485].start 30951.09284375
transcript.pyannote[5485].end 30952.00409375
transcript.pyannote[5486].speaker SPEAKER_10
transcript.pyannote[5486].start 30954.61971875
transcript.pyannote[5486].end 30955.12596875
transcript.pyannote[5487].speaker SPEAKER_10
transcript.pyannote[5487].start 30955.95284375
transcript.pyannote[5487].end 30962.39909375
transcript.pyannote[5488].speaker SPEAKER_05
transcript.pyannote[5488].start 30961.82534375
transcript.pyannote[5488].end 30981.11346875
transcript.pyannote[5489].speaker SPEAKER_23
transcript.pyannote[5489].start 30973.48596875
transcript.pyannote[5489].end 30975.84846875
transcript.pyannote[5490].speaker SPEAKER_10
transcript.pyannote[5490].start 30975.84846875
transcript.pyannote[5490].end 30975.86534375
transcript.pyannote[5491].speaker SPEAKER_10
transcript.pyannote[5491].start 30981.11346875
transcript.pyannote[5491].end 30983.67846875
transcript.pyannote[5492].speaker SPEAKER_10
transcript.pyannote[5492].start 30984.35346875
transcript.pyannote[5492].end 30990.52971875
transcript.pyannote[5493].speaker SPEAKER_05
transcript.pyannote[5493].start 30989.31471875
transcript.pyannote[5493].end 30990.49596875
transcript.pyannote[5494].speaker SPEAKER_05
transcript.pyannote[5494].start 30990.52971875
transcript.pyannote[5494].end 30992.09909375
transcript.pyannote[5495].speaker SPEAKER_10
transcript.pyannote[5495].start 30992.09909375
transcript.pyannote[5495].end 30992.13284375
transcript.pyannote[5496].speaker SPEAKER_10
transcript.pyannote[5496].start 30992.40284375
transcript.pyannote[5496].end 30994.37721875
transcript.pyannote[5497].speaker SPEAKER_10
transcript.pyannote[5497].start 30994.78221875
transcript.pyannote[5497].end 31004.14784375
transcript.pyannote[5498].speaker SPEAKER_05
transcript.pyannote[5498].start 30994.83284375
transcript.pyannote[5498].end 30995.91284375
transcript.pyannote[5499].speaker SPEAKER_05
transcript.pyannote[5499].start 31002.59534375
transcript.pyannote[5499].end 31003.25346875
transcript.pyannote[5500].speaker SPEAKER_05
transcript.pyannote[5500].start 31004.63721875
transcript.pyannote[5500].end 31018.87971875
transcript.pyannote[5501].speaker SPEAKER_34
transcript.pyannote[5501].start 31012.14659375
transcript.pyannote[5501].end 31012.50096875
transcript.pyannote[5502].speaker SPEAKER_04
transcript.pyannote[5502].start 31012.50096875
transcript.pyannote[5502].end 31012.55159375
transcript.pyannote[5503].speaker SPEAKER_36
transcript.pyannote[5503].start 31012.55159375
transcript.pyannote[5503].end 31012.56846875
transcript.pyannote[5504].speaker SPEAKER_05
transcript.pyannote[5504].start 31019.31846875
transcript.pyannote[5504].end 31021.73159375
transcript.pyannote[5505].speaker SPEAKER_05
transcript.pyannote[5505].start 31021.88346875
transcript.pyannote[5505].end 31033.89846875
transcript.pyannote[5506].speaker SPEAKER_05
transcript.pyannote[5506].start 31034.21909375
transcript.pyannote[5506].end 31046.04846875
transcript.pyannote[5507].speaker SPEAKER_05
transcript.pyannote[5507].start 31046.14971875
transcript.pyannote[5507].end 31054.62096875
transcript.pyannote[5508].speaker SPEAKER_05
transcript.pyannote[5508].start 31055.09346875
transcript.pyannote[5508].end 31082.75159375
transcript.pyannote[5509].speaker SPEAKER_06
transcript.pyannote[5509].start 31066.31534375
transcript.pyannote[5509].end 31067.26034375
transcript.pyannote[5510].speaker SPEAKER_06
transcript.pyannote[5510].start 31072.81221875
transcript.pyannote[5510].end 31072.89659375
transcript.pyannote[5511].speaker SPEAKER_07
transcript.pyannote[5511].start 31072.89659375
transcript.pyannote[5511].end 31073.03159375
transcript.pyannote[5512].speaker SPEAKER_23
transcript.pyannote[5512].start 31073.03159375
transcript.pyannote[5512].end 31073.18346875
transcript.pyannote[5513].speaker SPEAKER_07
transcript.pyannote[5513].start 31073.18346875
transcript.pyannote[5513].end 31073.26784375
transcript.pyannote[5514].speaker SPEAKER_05
transcript.pyannote[5514].start 31083.96659375
transcript.pyannote[5514].end 31084.37159375
transcript.pyannote[5515].speaker SPEAKER_05
transcript.pyannote[5515].start 31084.75971875
transcript.pyannote[5515].end 31086.59909375
transcript.pyannote[5516].speaker SPEAKER_05
transcript.pyannote[5516].start 31087.02096875
transcript.pyannote[5516].end 31100.60534375
transcript.pyannote[5517].speaker SPEAKER_05
transcript.pyannote[5517].start 31100.84159375
transcript.pyannote[5517].end 31120.58534375
transcript.pyannote[5518].speaker SPEAKER_05
transcript.pyannote[5518].start 31121.47971875
transcript.pyannote[5518].end 31133.78159375
transcript.pyannote[5519].speaker SPEAKER_05
transcript.pyannote[5519].start 31133.86596875
transcript.pyannote[5519].end 31191.42659375
transcript.pyannote[5520].speaker SPEAKER_10
transcript.pyannote[5520].start 31191.83159375
transcript.pyannote[5520].end 31193.89034375
transcript.pyannote[5521].speaker SPEAKER_10
transcript.pyannote[5521].start 31193.94096875
transcript.pyannote[5521].end 31193.95784375
transcript.pyannote[5522].speaker SPEAKER_23
transcript.pyannote[5522].start 31193.95784375
transcript.pyannote[5522].end 31198.07534375
transcript.pyannote[5523].speaker SPEAKER_05
transcript.pyannote[5523].start 31196.18534375
transcript.pyannote[5523].end 31197.65346875
transcript.pyannote[5524].speaker SPEAKER_05
transcript.pyannote[5524].start 31198.07534375
transcript.pyannote[5524].end 31198.17659375
transcript.pyannote[5525].speaker SPEAKER_23
transcript.pyannote[5525].start 31198.17659375
transcript.pyannote[5525].end 31198.26096875
transcript.pyannote[5526].speaker SPEAKER_05
transcript.pyannote[5526].start 31198.26096875
transcript.pyannote[5526].end 31198.46346875
transcript.pyannote[5527].speaker SPEAKER_23
transcript.pyannote[5527].start 31198.46346875
transcript.pyannote[5527].end 31198.53096875
transcript.pyannote[5528].speaker SPEAKER_05
transcript.pyannote[5528].start 31198.53096875
transcript.pyannote[5528].end 31198.86846875
transcript.pyannote[5529].speaker SPEAKER_23
transcript.pyannote[5529].start 31198.86846875
transcript.pyannote[5529].end 31200.45471875
transcript.pyannote[5530].speaker SPEAKER_05
transcript.pyannote[5530].start 31198.88534375
transcript.pyannote[5530].end 31199.25659375
transcript.pyannote[5531].speaker SPEAKER_05
transcript.pyannote[5531].start 31199.40846875
transcript.pyannote[5531].end 31200.57284375
transcript.pyannote[5532].speaker SPEAKER_05
transcript.pyannote[5532].start 31200.89346875
transcript.pyannote[5532].end 31208.38596875
transcript.pyannote[5533].speaker SPEAKER_23
transcript.pyannote[5533].start 31203.17159375
transcript.pyannote[5533].end 31203.79596875
transcript.pyannote[5534].speaker SPEAKER_05
transcript.pyannote[5534].start 31208.74034375
transcript.pyannote[5534].end 31210.47846875
transcript.pyannote[5535].speaker SPEAKER_05
transcript.pyannote[5535].start 31210.84971875
transcript.pyannote[5535].end 31232.50034375
transcript.pyannote[5536].speaker SPEAKER_05
transcript.pyannote[5536].start 31233.56346875
transcript.pyannote[5536].end 31234.17096875
transcript.pyannote[5537].speaker SPEAKER_23
transcript.pyannote[5537].start 31234.44096875
transcript.pyannote[5537].end 31258.08284375
transcript.pyannote[5538].speaker SPEAKER_05
transcript.pyannote[5538].start 31245.47721875
transcript.pyannote[5538].end 31248.22784375
transcript.pyannote[5539].speaker SPEAKER_05
transcript.pyannote[5539].start 31255.04534375
transcript.pyannote[5539].end 31256.15909375
transcript.pyannote[5540].speaker SPEAKER_05
transcript.pyannote[5540].start 31256.63159375
transcript.pyannote[5540].end 31263.38159375
transcript.pyannote[5541].speaker SPEAKER_23
transcript.pyannote[5541].start 31261.67721875
transcript.pyannote[5541].end 31261.96409375
transcript.pyannote[5542].speaker SPEAKER_23
transcript.pyannote[5542].start 31262.94284375
transcript.pyannote[5542].end 31268.76471875
transcript.pyannote[5543].speaker SPEAKER_05
transcript.pyannote[5543].start 31264.05659375
transcript.pyannote[5543].end 31266.65534375
transcript.pyannote[5544].speaker SPEAKER_23
transcript.pyannote[5544].start 31269.03471875
transcript.pyannote[5544].end 31272.00471875
transcript.pyannote[5545].speaker SPEAKER_05
transcript.pyannote[5545].start 31270.92471875
transcript.pyannote[5545].end 31271.95409375
transcript.pyannote[5546].speaker SPEAKER_23
transcript.pyannote[5546].start 31272.46034375
transcript.pyannote[5546].end 31276.76346875
transcript.pyannote[5547].speaker SPEAKER_04
transcript.pyannote[5547].start 31274.16471875
transcript.pyannote[5547].end 31274.31659375
transcript.pyannote[5548].speaker SPEAKER_05
transcript.pyannote[5548].start 31274.31659375
transcript.pyannote[5548].end 31274.41784375
transcript.pyannote[5549].speaker SPEAKER_04
transcript.pyannote[5549].start 31274.41784375
transcript.pyannote[5549].end 31274.75534375
transcript.pyannote[5550].speaker SPEAKER_05
transcript.pyannote[5550].start 31274.75534375
transcript.pyannote[5550].end 31274.80596875
transcript.pyannote[5551].speaker SPEAKER_05
transcript.pyannote[5551].start 31275.49784375
transcript.pyannote[5551].end 31279.53096875
transcript.pyannote[5552].speaker SPEAKER_05
transcript.pyannote[5552].start 31280.12159375
transcript.pyannote[5552].end 31288.62659375
transcript.pyannote[5553].speaker SPEAKER_10
transcript.pyannote[5553].start 31289.43659375
transcript.pyannote[5553].end 31291.61346875
transcript.pyannote[5554].speaker SPEAKER_05
transcript.pyannote[5554].start 31291.93409375
transcript.pyannote[5554].end 31293.58784375
transcript.pyannote[5555].speaker SPEAKER_10
transcript.pyannote[5555].start 31292.96346875
transcript.pyannote[5555].end 31299.37596875
transcript.pyannote[5556].speaker SPEAKER_10
transcript.pyannote[5556].start 31299.79784375
transcript.pyannote[5556].end 31301.35034375
transcript.pyannote[5557].speaker SPEAKER_10
transcript.pyannote[5557].start 31301.63721875
transcript.pyannote[5557].end 31308.01596875
transcript.pyannote[5558].speaker SPEAKER_10
transcript.pyannote[5558].start 31308.15096875
transcript.pyannote[5558].end 31312.53846875
transcript.pyannote[5559].speaker SPEAKER_10
transcript.pyannote[5559].start 31313.23034375
transcript.pyannote[5559].end 31314.04034375
transcript.pyannote[5560].speaker SPEAKER_05
transcript.pyannote[5560].start 31313.68596875
transcript.pyannote[5560].end 31343.20034375
transcript.pyannote[5561].speaker SPEAKER_05
transcript.pyannote[5561].start 31343.53784375
transcript.pyannote[5561].end 31353.19034375
transcript.pyannote[5562].speaker SPEAKER_00
transcript.pyannote[5562].start 31346.76096875
transcript.pyannote[5562].end 31347.19971875
transcript.pyannote[5563].speaker SPEAKER_10
transcript.pyannote[5563].start 31352.14409375
transcript.pyannote[5563].end 31359.68721875
transcript.pyannote[5564].speaker SPEAKER_10
transcript.pyannote[5564].start 31359.97409375
transcript.pyannote[5564].end 31364.85096875
transcript.pyannote[5565].speaker SPEAKER_05
transcript.pyannote[5565].start 31362.91034375
transcript.pyannote[5565].end 31364.91846875
transcript.pyannote[5566].speaker SPEAKER_05
transcript.pyannote[5566].start 31365.00284375
transcript.pyannote[5566].end 31366.77471875
transcript.pyannote[5567].speaker SPEAKER_05
transcript.pyannote[5567].start 31366.90971875
transcript.pyannote[5567].end 31390.23096875
transcript.pyannote[5568].speaker SPEAKER_05
transcript.pyannote[5568].start 31390.36596875
transcript.pyannote[5568].end 31450.52534375
transcript.pyannote[5569].speaker SPEAKER_05
transcript.pyannote[5569].start 31450.87971875
transcript.pyannote[5569].end 31452.65159375
transcript.pyannote[5570].speaker SPEAKER_05
transcript.pyannote[5570].start 31452.82034375
transcript.pyannote[5570].end 31464.88596875
transcript.pyannote[5571].speaker SPEAKER_10
transcript.pyannote[5571].start 31465.78034375
transcript.pyannote[5571].end 31468.71659375
transcript.pyannote[5572].speaker SPEAKER_10
transcript.pyannote[5572].start 31468.91909375
transcript.pyannote[5572].end 31476.17534375
transcript.pyannote[5573].speaker SPEAKER_10
transcript.pyannote[5573].start 31476.46221875
transcript.pyannote[5573].end 31479.24659375
transcript.pyannote[5574].speaker SPEAKER_10
transcript.pyannote[5574].start 31479.58409375
transcript.pyannote[5574].end 31481.03534375
transcript.pyannote[5575].speaker SPEAKER_10
transcript.pyannote[5575].start 31482.18284375
transcript.pyannote[5575].end 31483.39784375
transcript.pyannote[5576].speaker SPEAKER_10
transcript.pyannote[5576].start 31483.80284375
transcript.pyannote[5576].end 31493.99534375
transcript.pyannote[5577].speaker SPEAKER_05
transcript.pyannote[5577].start 31492.27409375
transcript.pyannote[5577].end 31496.39159375
transcript.pyannote[5578].speaker SPEAKER_10
transcript.pyannote[5578].start 31495.58159375
transcript.pyannote[5578].end 31498.07909375
transcript.pyannote[5579].speaker SPEAKER_05
transcript.pyannote[5579].start 31498.39971875
transcript.pyannote[5579].end 31498.65284375
transcript.pyannote[5580].speaker SPEAKER_05
transcript.pyannote[5580].start 31499.12534375
transcript.pyannote[5580].end 31522.14284375
transcript.pyannote[5581].speaker SPEAKER_10
transcript.pyannote[5581].start 31500.40784375
transcript.pyannote[5581].end 31500.94784375
transcript.pyannote[5582].speaker SPEAKER_10
transcript.pyannote[5582].start 31500.99846875
transcript.pyannote[5582].end 31502.02784375
transcript.pyannote[5583].speaker SPEAKER_00
transcript.pyannote[5583].start 31517.53596875
transcript.pyannote[5583].end 31517.55284375
transcript.pyannote[5584].speaker SPEAKER_00
transcript.pyannote[5584].start 31517.58659375
transcript.pyannote[5584].end 31517.75534375
transcript.pyannote[5585].speaker SPEAKER_05
transcript.pyannote[5585].start 31522.37909375
transcript.pyannote[5585].end 31570.47284375
transcript.pyannote[5586].speaker SPEAKER_05
transcript.pyannote[5586].start 31573.83096875
transcript.pyannote[5586].end 31574.35409375
transcript.pyannote[5587].speaker SPEAKER_05
transcript.pyannote[5587].start 31575.97409375
transcript.pyannote[5587].end 31577.59409375
transcript.pyannote[5588].speaker SPEAKER_18
transcript.pyannote[5588].start 31577.76284375
transcript.pyannote[5588].end 31578.77534375
transcript.pyannote[5589].speaker SPEAKER_05
transcript.pyannote[5589].start 31578.77534375
transcript.pyannote[5589].end 31582.74096875
transcript.pyannote[5590].speaker SPEAKER_18
transcript.pyannote[5590].start 31578.87659375
transcript.pyannote[5590].end 31579.12971875
transcript.pyannote[5591].speaker SPEAKER_18
transcript.pyannote[5591].start 31579.73721875
transcript.pyannote[5591].end 31580.24346875
transcript.pyannote[5592].speaker SPEAKER_05
transcript.pyannote[5592].start 31582.97721875
transcript.pyannote[5592].end 31584.02346875
transcript.pyannote[5593].speaker SPEAKER_37
transcript.pyannote[5593].start 31588.88346875
transcript.pyannote[5593].end 31593.86159375
transcript.pyannote[5594].speaker SPEAKER_37
transcript.pyannote[5594].start 31605.26909375
transcript.pyannote[5594].end 31609.82534375
transcript.pyannote[5595].speaker SPEAKER_03
transcript.pyannote[5595].start 31614.41534375
transcript.pyannote[5595].end 31615.74846875
transcript.pyannote[5596].speaker SPEAKER_03
transcript.pyannote[5596].start 31616.06909375
transcript.pyannote[5596].end 31616.99721875
transcript.pyannote[5597].speaker SPEAKER_37
transcript.pyannote[5597].start 31617.57096875
transcript.pyannote[5597].end 31618.85346875
transcript.pyannote[5598].speaker SPEAKER_03
transcript.pyannote[5598].start 31627.30784375
transcript.pyannote[5598].end 31629.34971875
transcript.pyannote[5599].speaker SPEAKER_03
transcript.pyannote[5599].start 31630.14284375
transcript.pyannote[5599].end 31633.23096875
transcript.pyannote[5600].speaker SPEAKER_03
transcript.pyannote[5600].start 31633.90596875
transcript.pyannote[5600].end 31635.96471875
transcript.pyannote[5601].speaker SPEAKER_03
transcript.pyannote[5601].start 31636.82534375
transcript.pyannote[5601].end 31638.74909375
transcript.pyannote[5602].speaker SPEAKER_03
transcript.pyannote[5602].start 31639.39034375
transcript.pyannote[5602].end 31642.05659375
transcript.pyannote[5603].speaker SPEAKER_03
transcript.pyannote[5603].start 31642.54596875
transcript.pyannote[5603].end 31643.30534375
transcript.pyannote[5604].speaker SPEAKER_03
transcript.pyannote[5604].start 31643.77784375
transcript.pyannote[5604].end 31644.26721875
transcript.pyannote[5605].speaker SPEAKER_03
transcript.pyannote[5605].start 31644.52034375
transcript.pyannote[5605].end 31646.03909375
transcript.pyannote[5606].speaker SPEAKER_03
transcript.pyannote[5606].start 31646.27534375
transcript.pyannote[5606].end 31646.59596875
transcript.pyannote[5607].speaker SPEAKER_03
transcript.pyannote[5607].start 31647.08534375
transcript.pyannote[5607].end 31648.21596875
transcript.pyannote[5608].speaker SPEAKER_03
transcript.pyannote[5608].start 31648.73909375
transcript.pyannote[5608].end 31650.35909375
transcript.pyannote[5609].speaker SPEAKER_03
transcript.pyannote[5609].start 31651.05096875
transcript.pyannote[5609].end 31652.13096875
transcript.pyannote[5610].speaker SPEAKER_03
transcript.pyannote[5610].start 31652.50221875
transcript.pyannote[5610].end 31657.96971875
transcript.pyannote[5611].speaker SPEAKER_03
transcript.pyannote[5611].start 31658.47596875
transcript.pyannote[5611].end 31659.97784375
transcript.pyannote[5612].speaker SPEAKER_03
transcript.pyannote[5612].start 31660.36596875
transcript.pyannote[5612].end 31662.45846875
transcript.pyannote[5613].speaker SPEAKER_03
transcript.pyannote[5613].start 31662.67784375
transcript.pyannote[5613].end 31666.37346875
transcript.pyannote[5614].speaker SPEAKER_03
transcript.pyannote[5614].start 31666.54221875
transcript.pyannote[5614].end 31670.87909375
transcript.pyannote[5615].speaker SPEAKER_03
transcript.pyannote[5615].start 31671.08159375
transcript.pyannote[5615].end 31672.24596875
transcript.pyannote[5616].speaker SPEAKER_03
transcript.pyannote[5616].start 31672.41471875
transcript.pyannote[5616].end 31674.84471875
transcript.pyannote[5617].speaker SPEAKER_09
transcript.pyannote[5617].start 31675.01346875
transcript.pyannote[5617].end 31675.70534375
transcript.pyannote[5618].speaker SPEAKER_03
transcript.pyannote[5618].start 31675.04721875
transcript.pyannote[5618].end 31676.49846875
transcript.pyannote[5619].speaker SPEAKER_03
transcript.pyannote[5619].start 31677.03846875
transcript.pyannote[5619].end 31682.79284375
transcript.pyannote[5620].speaker SPEAKER_03
transcript.pyannote[5620].start 31683.18096875
transcript.pyannote[5620].end 31684.41284375
transcript.pyannote[5621].speaker SPEAKER_03
transcript.pyannote[5621].start 31684.90221875
transcript.pyannote[5621].end 31690.20096875
transcript.pyannote[5622].speaker SPEAKER_03
transcript.pyannote[5622].start 31691.14596875
transcript.pyannote[5622].end 31693.47471875
transcript.pyannote[5623].speaker SPEAKER_03
transcript.pyannote[5623].start 31693.81221875
transcript.pyannote[5623].end 31694.62221875
transcript.pyannote[5624].speaker SPEAKER_03
transcript.pyannote[5624].start 31695.12846875
transcript.pyannote[5624].end 31698.48659375
transcript.pyannote[5625].speaker SPEAKER_03
transcript.pyannote[5625].start 31699.17846875
transcript.pyannote[5625].end 31700.22471875
transcript.pyannote[5626].speaker SPEAKER_03
transcript.pyannote[5626].start 31700.47784375
transcript.pyannote[5626].end 31701.35534375
transcript.pyannote[5627].speaker SPEAKER_03
transcript.pyannote[5627].start 31701.82784375
transcript.pyannote[5627].end 31703.71784375
transcript.pyannote[5628].speaker SPEAKER_03
transcript.pyannote[5628].start 31704.40971875
transcript.pyannote[5628].end 31705.21971875
transcript.pyannote[5629].speaker SPEAKER_03
transcript.pyannote[5629].start 31705.42221875
transcript.pyannote[5629].end 31706.65409375
transcript.pyannote[5630].speaker SPEAKER_03
transcript.pyannote[5630].start 31706.95784375
transcript.pyannote[5630].end 31709.96159375
transcript.pyannote[5631].speaker SPEAKER_03
transcript.pyannote[5631].start 31710.67034375
transcript.pyannote[5631].end 31712.15534375
transcript.pyannote[5632].speaker SPEAKER_03
transcript.pyannote[5632].start 31712.56034375
transcript.pyannote[5632].end 31716.35721875
transcript.pyannote[5633].speaker SPEAKER_03
transcript.pyannote[5633].start 31716.76221875
transcript.pyannote[5633].end 31718.21346875
transcript.pyannote[5634].speaker SPEAKER_03
transcript.pyannote[5634].start 31718.82096875
transcript.pyannote[5634].end 31720.37346875
transcript.pyannote[5635].speaker SPEAKER_10
transcript.pyannote[5635].start 31721.28471875
transcript.pyannote[5635].end 31723.73159375
transcript.pyannote[5636].speaker SPEAKER_10
transcript.pyannote[5636].start 31723.96784375
transcript.pyannote[5636].end 31726.81971875
transcript.pyannote[5637].speaker SPEAKER_10
transcript.pyannote[5637].start 31727.27534375
transcript.pyannote[5637].end 31728.97971875
transcript.pyannote[5638].speaker SPEAKER_03
transcript.pyannote[5638].start 31727.74784375
transcript.pyannote[5638].end 31733.63721875
transcript.pyannote[5639].speaker SPEAKER_10
transcript.pyannote[5639].start 31729.62096875
transcript.pyannote[5639].end 31730.95409375
transcript.pyannote[5640].speaker SPEAKER_03
transcript.pyannote[5640].start 31734.02534375
transcript.pyannote[5640].end 31737.24846875
transcript.pyannote[5641].speaker SPEAKER_03
transcript.pyannote[5641].start 31737.60284375
transcript.pyannote[5641].end 31740.85971875
transcript.pyannote[5642].speaker SPEAKER_03
transcript.pyannote[5642].start 31741.26471875
transcript.pyannote[5642].end 31744.89284375
transcript.pyannote[5643].speaker SPEAKER_03
transcript.pyannote[5643].start 31745.11221875
transcript.pyannote[5643].end 31749.09471875
transcript.pyannote[5644].speaker SPEAKER_10
transcript.pyannote[5644].start 31750.36034375
transcript.pyannote[5644].end 31756.36784375
transcript.pyannote[5645].speaker SPEAKER_03
transcript.pyannote[5645].start 31756.36784375
transcript.pyannote[5645].end 31756.45221875
transcript.pyannote[5646].speaker SPEAKER_10
transcript.pyannote[5646].start 31756.45221875
transcript.pyannote[5646].end 31756.46909375
transcript.pyannote[5647].speaker SPEAKER_03
transcript.pyannote[5647].start 31756.46909375
transcript.pyannote[5647].end 31756.82346875
transcript.pyannote[5648].speaker SPEAKER_10
transcript.pyannote[5648].start 31756.82346875
transcript.pyannote[5648].end 31756.87409375
transcript.pyannote[5649].speaker SPEAKER_03
transcript.pyannote[5649].start 31756.87409375
transcript.pyannote[5649].end 31766.98221875
transcript.pyannote[5650].speaker SPEAKER_10
transcript.pyannote[5650].start 31767.64034375
transcript.pyannote[5650].end 31771.87596875
transcript.pyannote[5651].speaker SPEAKER_03
transcript.pyannote[5651].start 31770.52596875
transcript.pyannote[5651].end 31777.93409375
transcript.pyannote[5652].speaker SPEAKER_10
transcript.pyannote[5652].start 31777.93409375
transcript.pyannote[5652].end 31780.92096875
transcript.pyannote[5653].speaker SPEAKER_10
transcript.pyannote[5653].start 31781.22471875
transcript.pyannote[5653].end 31782.08534375
transcript.pyannote[5654].speaker SPEAKER_10
transcript.pyannote[5654].start 31782.28784375
transcript.pyannote[5654].end 31784.29596875
transcript.pyannote[5655].speaker SPEAKER_10
transcript.pyannote[5655].start 31784.59971875
transcript.pyannote[5655].end 31786.05096875
transcript.pyannote[5656].speaker SPEAKER_03
transcript.pyannote[5656].start 31786.05096875
transcript.pyannote[5656].end 31786.48971875
transcript.pyannote[5657].speaker SPEAKER_10
transcript.pyannote[5657].start 31786.91159375
transcript.pyannote[5657].end 31791.13034375
transcript.pyannote[5658].speaker SPEAKER_03
transcript.pyannote[5658].start 31791.29909375
transcript.pyannote[5658].end 31799.82096875
transcript.pyannote[5659].speaker SPEAKER_03
transcript.pyannote[5659].start 31799.93909375
transcript.pyannote[5659].end 31803.55034375
transcript.pyannote[5660].speaker SPEAKER_10
transcript.pyannote[5660].start 31802.85846875
transcript.pyannote[5660].end 31806.89159375
transcript.pyannote[5661].speaker SPEAKER_03
transcript.pyannote[5661].start 31805.98034375
transcript.pyannote[5661].end 31806.63846875
transcript.pyannote[5662].speaker SPEAKER_03
transcript.pyannote[5662].start 31806.65534375
transcript.pyannote[5662].end 31806.72284375
transcript.pyannote[5663].speaker SPEAKER_03
transcript.pyannote[5663].start 31806.97596875
transcript.pyannote[5663].end 31812.27471875
transcript.pyannote[5664].speaker SPEAKER_03
transcript.pyannote[5664].start 31812.91596875
transcript.pyannote[5664].end 31818.95721875
transcript.pyannote[5665].speaker SPEAKER_03
transcript.pyannote[5665].start 31819.29471875
transcript.pyannote[5665].end 31821.06659375
transcript.pyannote[5666].speaker SPEAKER_03
transcript.pyannote[5666].start 31821.64034375
transcript.pyannote[5666].end 31852.03221875
transcript.pyannote[5667].speaker SPEAKER_03
transcript.pyannote[5667].start 31852.42034375
transcript.pyannote[5667].end 31855.42409375
transcript.pyannote[5668].speaker SPEAKER_03
transcript.pyannote[5668].start 31855.54221875
transcript.pyannote[5668].end 31860.63846875
transcript.pyannote[5669].speaker SPEAKER_03
transcript.pyannote[5669].start 31860.92534375
transcript.pyannote[5669].end 31864.70534375
transcript.pyannote[5670].speaker SPEAKER_03
transcript.pyannote[5670].start 31865.41409375
transcript.pyannote[5670].end 31881.95159375
transcript.pyannote[5671].speaker SPEAKER_10
transcript.pyannote[5671].start 31883.23409375
transcript.pyannote[5671].end 31887.73971875
transcript.pyannote[5672].speaker SPEAKER_03
transcript.pyannote[5672].start 31888.04346875
transcript.pyannote[5672].end 31891.70534375
transcript.pyannote[5673].speaker SPEAKER_10
transcript.pyannote[5673].start 31888.11096875
transcript.pyannote[5673].end 31888.51596875
transcript.pyannote[5674].speaker SPEAKER_03
transcript.pyannote[5674].start 31891.94159375
transcript.pyannote[5674].end 31902.01596875
transcript.pyannote[5675].speaker SPEAKER_03
transcript.pyannote[5675].start 31902.23534375
transcript.pyannote[5675].end 31903.12971875
transcript.pyannote[5676].speaker SPEAKER_03
transcript.pyannote[5676].start 31903.70346875
transcript.pyannote[5676].end 31908.37784375
transcript.pyannote[5677].speaker SPEAKER_03
transcript.pyannote[5677].start 31908.61409375
transcript.pyannote[5677].end 31913.82846875
transcript.pyannote[5678].speaker SPEAKER_03
transcript.pyannote[5678].start 31914.94221875
transcript.pyannote[5678].end 31917.84471875
transcript.pyannote[5679].speaker SPEAKER_10
transcript.pyannote[5679].start 31915.75221875
transcript.pyannote[5679].end 31915.76909375
transcript.pyannote[5680].speaker SPEAKER_21
transcript.pyannote[5680].start 31915.76909375
transcript.pyannote[5680].end 31916.10659375
transcript.pyannote[5681].speaker SPEAKER_03
transcript.pyannote[5681].start 31918.38471875
transcript.pyannote[5681].end 31922.85659375
transcript.pyannote[5682].speaker SPEAKER_03
transcript.pyannote[5682].start 31923.59909375
transcript.pyannote[5682].end 31932.98159375
transcript.pyannote[5683].speaker SPEAKER_10
transcript.pyannote[5683].start 31935.41159375
transcript.pyannote[5683].end 31937.97659375
transcript.pyannote[5684].speaker SPEAKER_03
transcript.pyannote[5684].start 31937.21721875
transcript.pyannote[5684].end 31965.46596875
transcript.pyannote[5685].speaker SPEAKER_00
transcript.pyannote[5685].start 31947.83159375
transcript.pyannote[5685].end 31948.54034375
transcript.pyannote[5686].speaker SPEAKER_03
transcript.pyannote[5686].start 31965.92159375
transcript.pyannote[5686].end 31973.17784375
transcript.pyannote[5687].speaker SPEAKER_03
transcript.pyannote[5687].start 31973.80221875
transcript.pyannote[5687].end 31978.69596875
transcript.pyannote[5688].speaker SPEAKER_03
transcript.pyannote[5688].start 31979.11784375
transcript.pyannote[5688].end 31990.59284375
transcript.pyannote[5689].speaker SPEAKER_10
transcript.pyannote[5689].start 31990.99784375
transcript.pyannote[5689].end 31993.20846875
transcript.pyannote[5690].speaker SPEAKER_10
transcript.pyannote[5690].start 31993.39409375
transcript.pyannote[5690].end 31996.56659375
transcript.pyannote[5691].speaker SPEAKER_10
transcript.pyannote[5691].start 31997.27534375
transcript.pyannote[5691].end 31998.20346875
transcript.pyannote[5692].speaker SPEAKER_10
transcript.pyannote[5692].start 31998.35534375
transcript.pyannote[5692].end 31999.23284375
transcript.pyannote[5693].speaker SPEAKER_10
transcript.pyannote[5693].start 31999.51971875
transcript.pyannote[5693].end 32001.17346875
transcript.pyannote[5694].speaker SPEAKER_10
transcript.pyannote[5694].start 32001.52784375
transcript.pyannote[5694].end 32009.05409375
transcript.pyannote[5695].speaker SPEAKER_10
transcript.pyannote[5695].start 32009.32409375
transcript.pyannote[5695].end 32011.16346875
transcript.pyannote[5696].speaker SPEAKER_10
transcript.pyannote[5696].start 32011.61909375
transcript.pyannote[5696].end 32012.07471875
transcript.pyannote[5697].speaker SPEAKER_10
transcript.pyannote[5697].start 32012.39534375
transcript.pyannote[5697].end 32013.13784375
transcript.pyannote[5698].speaker SPEAKER_10
transcript.pyannote[5698].start 32013.42471875
transcript.pyannote[5698].end 32017.32284375
transcript.pyannote[5699].speaker SPEAKER_10
transcript.pyannote[5699].start 32017.59284375
transcript.pyannote[5699].end 32017.62659375
transcript.pyannote[5700].speaker SPEAKER_03
transcript.pyannote[5700].start 32017.62659375
transcript.pyannote[5700].end 32020.78221875
transcript.pyannote[5701].speaker SPEAKER_03
transcript.pyannote[5701].start 32021.10284375
transcript.pyannote[5701].end 32026.94159375
transcript.pyannote[5702].speaker SPEAKER_03
transcript.pyannote[5702].start 32027.34659375
transcript.pyannote[5702].end 32032.42596875
transcript.pyannote[5703].speaker SPEAKER_03
transcript.pyannote[5703].start 32032.78034375
transcript.pyannote[5703].end 32041.36971875
transcript.pyannote[5704].speaker SPEAKER_03
transcript.pyannote[5704].start 32041.69034375
transcript.pyannote[5704].end 32043.42846875
transcript.pyannote[5705].speaker SPEAKER_03
transcript.pyannote[5705].start 32043.61409375
transcript.pyannote[5705].end 32056.97909375
transcript.pyannote[5706].speaker SPEAKER_03
transcript.pyannote[5706].start 32057.28284375
transcript.pyannote[5706].end 32071.28909375
transcript.pyannote[5707].speaker SPEAKER_03
transcript.pyannote[5707].start 32072.08221875
transcript.pyannote[5707].end 32082.91596875
transcript.pyannote[5708].speaker SPEAKER_03
transcript.pyannote[5708].start 32083.10159375
transcript.pyannote[5708].end 32085.85221875
transcript.pyannote[5709].speaker SPEAKER_10
transcript.pyannote[5709].start 32086.34159375
transcript.pyannote[5709].end 32091.30284375
transcript.pyannote[5710].speaker SPEAKER_10
transcript.pyannote[5710].start 32091.42096875
transcript.pyannote[5710].end 32092.53471875
transcript.pyannote[5711].speaker SPEAKER_10
transcript.pyannote[5711].start 32092.95659375
transcript.pyannote[5711].end 32095.74096875
transcript.pyannote[5712].speaker SPEAKER_10
transcript.pyannote[5712].start 32096.07846875
transcript.pyannote[5712].end 32099.97659375
transcript.pyannote[5713].speaker SPEAKER_10
transcript.pyannote[5713].start 32100.12846875
transcript.pyannote[5713].end 32104.41471875
transcript.pyannote[5714].speaker SPEAKER_03
transcript.pyannote[5714].start 32102.71034375
transcript.pyannote[5714].end 32103.30096875
transcript.pyannote[5715].speaker SPEAKER_03
transcript.pyannote[5715].start 32103.87471875
transcript.pyannote[5715].end 32110.25346875
transcript.pyannote[5716].speaker SPEAKER_03
transcript.pyannote[5716].start 32110.43909375
transcript.pyannote[5716].end 32112.58221875
transcript.pyannote[5717].speaker SPEAKER_03
transcript.pyannote[5717].start 32113.66221875
transcript.pyannote[5717].end 32118.03284375
transcript.pyannote[5718].speaker SPEAKER_03
transcript.pyannote[5718].start 32118.42096875
transcript.pyannote[5718].end 32119.55159375
transcript.pyannote[5719].speaker SPEAKER_03
transcript.pyannote[5719].start 32120.07471875
transcript.pyannote[5719].end 32124.05721875
transcript.pyannote[5720].speaker SPEAKER_03
transcript.pyannote[5720].start 32124.27659375
transcript.pyannote[5720].end 32129.32221875
transcript.pyannote[5721].speaker SPEAKER_03
transcript.pyannote[5721].start 32129.71034375
transcript.pyannote[5721].end 32133.13596875
transcript.pyannote[5722].speaker SPEAKER_03
transcript.pyannote[5722].start 32133.40596875
transcript.pyannote[5722].end 32134.26659375
transcript.pyannote[5723].speaker SPEAKER_03
transcript.pyannote[5723].start 32134.80659375
transcript.pyannote[5723].end 32138.46846875
transcript.pyannote[5724].speaker SPEAKER_03
transcript.pyannote[5724].start 32139.34596875
transcript.pyannote[5724].end 32145.50534375
transcript.pyannote[5725].speaker SPEAKER_03
transcript.pyannote[5725].start 32146.06221875
transcript.pyannote[5725].end 32148.40784375
transcript.pyannote[5726].speaker SPEAKER_03
transcript.pyannote[5726].start 32149.08284375
transcript.pyannote[5726].end 32153.28471875
transcript.pyannote[5727].speaker SPEAKER_03
transcript.pyannote[5727].start 32153.72346875
transcript.pyannote[5727].end 32154.92159375
transcript.pyannote[5728].speaker SPEAKER_03
transcript.pyannote[5728].start 32155.32659375
transcript.pyannote[5728].end 32163.78096875
transcript.pyannote[5729].speaker SPEAKER_03
transcript.pyannote[5729].start 32163.96659375
transcript.pyannote[5729].end 32170.09221875
transcript.pyannote[5730].speaker SPEAKER_03
transcript.pyannote[5730].start 32170.29471875
transcript.pyannote[5730].end 32172.42096875
transcript.pyannote[5731].speaker SPEAKER_03
transcript.pyannote[5731].start 32172.45471875
transcript.pyannote[5731].end 32176.23471875
transcript.pyannote[5732].speaker SPEAKER_10
transcript.pyannote[5732].start 32176.99409375
transcript.pyannote[5732].end 32180.16659375
transcript.pyannote[5733].speaker SPEAKER_03
transcript.pyannote[5733].start 32177.02784375
transcript.pyannote[5733].end 32178.34409375
transcript.pyannote[5734].speaker SPEAKER_16
transcript.pyannote[5734].start 32178.34409375
transcript.pyannote[5734].end 32178.39471875
transcript.pyannote[5735].speaker SPEAKER_16
transcript.pyannote[5735].start 32179.81221875
transcript.pyannote[5735].end 32179.93034375
transcript.pyannote[5736].speaker SPEAKER_16
transcript.pyannote[5736].start 32180.41971875
transcript.pyannote[5736].end 32185.43159375
transcript.pyannote[5737].speaker SPEAKER_16
transcript.pyannote[5737].start 32186.10659375
transcript.pyannote[5737].end 32189.07659375
transcript.pyannote[5738].speaker SPEAKER_16
transcript.pyannote[5738].start 32189.59971875
transcript.pyannote[5738].end 32190.59534375
transcript.pyannote[5739].speaker SPEAKER_16
transcript.pyannote[5739].start 32190.62909375
transcript.pyannote[5739].end 32192.41784375
transcript.pyannote[5740].speaker SPEAKER_16
transcript.pyannote[5740].start 32192.92409375
transcript.pyannote[5740].end 32194.37534375
transcript.pyannote[5741].speaker SPEAKER_16
transcript.pyannote[5741].start 32194.83096875
transcript.pyannote[5741].end 32196.77159375
transcript.pyannote[5742].speaker SPEAKER_16
transcript.pyannote[5742].start 32197.21034375
transcript.pyannote[5742].end 32198.96534375
transcript.pyannote[5743].speaker SPEAKER_16
transcript.pyannote[5743].start 32199.43784375
transcript.pyannote[5743].end 32199.82596875
transcript.pyannote[5744].speaker SPEAKER_16
transcript.pyannote[5744].start 32199.92721875
transcript.pyannote[5744].end 32204.02784375
transcript.pyannote[5745].speaker SPEAKER_03
transcript.pyannote[5745].start 32202.44159375
transcript.pyannote[5745].end 32203.38659375
transcript.pyannote[5746].speaker SPEAKER_03
transcript.pyannote[5746].start 32204.02784375
transcript.pyannote[5746].end 32205.34409375
transcript.pyannote[5747].speaker SPEAKER_16
transcript.pyannote[5747].start 32204.09534375
transcript.pyannote[5747].end 32206.03596875
transcript.pyannote[5748].speaker SPEAKER_03
transcript.pyannote[5748].start 32206.03596875
transcript.pyannote[5748].end 32209.95096875
transcript.pyannote[5749].speaker SPEAKER_16
transcript.pyannote[5749].start 32207.03159375
transcript.pyannote[5749].end 32207.36909375
transcript.pyannote[5750].speaker SPEAKER_16
transcript.pyannote[5750].start 32207.77409375
transcript.pyannote[5750].end 32207.85846875
transcript.pyannote[5751].speaker SPEAKER_03
transcript.pyannote[5751].start 32210.49096875
transcript.pyannote[5751].end 32212.98846875
transcript.pyannote[5752].speaker SPEAKER_03
transcript.pyannote[5752].start 32213.39346875
transcript.pyannote[5752].end 32214.50721875
transcript.pyannote[5753].speaker SPEAKER_03
transcript.pyannote[5753].start 32214.97971875
transcript.pyannote[5753].end 32216.46471875
transcript.pyannote[5754].speaker SPEAKER_03
transcript.pyannote[5754].start 32217.08909375
transcript.pyannote[5754].end 32219.87346875
transcript.pyannote[5755].speaker SPEAKER_03
transcript.pyannote[5755].start 32219.90721875
transcript.pyannote[5755].end 32220.51471875
transcript.pyannote[5756].speaker SPEAKER_03
transcript.pyannote[5756].start 32221.27409375
transcript.pyannote[5756].end 32226.45471875
transcript.pyannote[5757].speaker SPEAKER_03
transcript.pyannote[5757].start 32227.06221875
transcript.pyannote[5757].end 32231.24721875
transcript.pyannote[5758].speaker SPEAKER_03
transcript.pyannote[5758].start 32232.07409375
transcript.pyannote[5758].end 32234.99346875
transcript.pyannote[5759].speaker SPEAKER_03
transcript.pyannote[5759].start 32235.33096875
transcript.pyannote[5759].end 32239.04346875
transcript.pyannote[5760].speaker SPEAKER_03
transcript.pyannote[5760].start 32239.41471875
transcript.pyannote[5760].end 32243.92034375
transcript.pyannote[5761].speaker SPEAKER_03
transcript.pyannote[5761].start 32244.86534375
transcript.pyannote[5761].end 32245.57409375
transcript.pyannote[5762].speaker SPEAKER_03
transcript.pyannote[5762].start 32245.99596875
transcript.pyannote[5762].end 32252.47596875
transcript.pyannote[5763].speaker SPEAKER_03
transcript.pyannote[5763].start 32253.15096875
transcript.pyannote[5763].end 32258.21346875
transcript.pyannote[5764].speaker SPEAKER_03
transcript.pyannote[5764].start 32259.02346875
transcript.pyannote[5764].end 32266.93784375
transcript.pyannote[5765].speaker SPEAKER_03
transcript.pyannote[5765].start 32267.51159375
transcript.pyannote[5765].end 32270.31284375
transcript.pyannote[5766].speaker SPEAKER_03
transcript.pyannote[5766].start 32270.59971875
transcript.pyannote[5766].end 32272.97909375
transcript.pyannote[5767].speaker SPEAKER_03
transcript.pyannote[5767].start 32273.38409375
transcript.pyannote[5767].end 32276.70846875
transcript.pyannote[5768].speaker SPEAKER_03
transcript.pyannote[5768].start 32276.94471875
transcript.pyannote[5768].end 32279.18909375
transcript.pyannote[5769].speaker SPEAKER_03
transcript.pyannote[5769].start 32279.37471875
transcript.pyannote[5769].end 32281.56846875
transcript.pyannote[5770].speaker SPEAKER_03
transcript.pyannote[5770].start 32281.65284375
transcript.pyannote[5770].end 32299.89471875
transcript.pyannote[5771].speaker SPEAKER_03
transcript.pyannote[5771].start 32300.50221875
transcript.pyannote[5771].end 32312.87159375
transcript.pyannote[5772].speaker SPEAKER_03
transcript.pyannote[5772].start 32313.15846875
transcript.pyannote[5772].end 32340.96846875
transcript.pyannote[5773].speaker SPEAKER_03
transcript.pyannote[5773].start 32341.30596875
transcript.pyannote[5773].end 32354.19846875
transcript.pyannote[5774].speaker SPEAKER_03
transcript.pyannote[5774].start 32354.92409375
transcript.pyannote[5774].end 32355.61596875
transcript.pyannote[5775].speaker SPEAKER_03
transcript.pyannote[5775].start 32356.39221875
transcript.pyannote[5775].end 32360.61096875
transcript.pyannote[5776].speaker SPEAKER_03
transcript.pyannote[5776].start 32361.03284375
transcript.pyannote[5776].end 32361.74159375
transcript.pyannote[5777].speaker SPEAKER_03
transcript.pyannote[5777].start 32361.91034375
transcript.pyannote[5777].end 32369.43659375
transcript.pyannote[5778].speaker SPEAKER_06
transcript.pyannote[5778].start 32365.33596875
transcript.pyannote[5778].end 32365.36971875
transcript.pyannote[5779].speaker SPEAKER_06
transcript.pyannote[5779].start 32365.55534375
transcript.pyannote[5779].end 32365.69034375
transcript.pyannote[5780].speaker SPEAKER_10
transcript.pyannote[5780].start 32365.69034375
transcript.pyannote[5780].end 32365.72409375
transcript.pyannote[5781].speaker SPEAKER_03
transcript.pyannote[5781].start 32369.84159375
transcript.pyannote[5781].end 32370.39846875
transcript.pyannote[5782].speaker SPEAKER_03
transcript.pyannote[5782].start 32370.65159375
transcript.pyannote[5782].end 32374.63409375
transcript.pyannote[5783].speaker SPEAKER_09
transcript.pyannote[5783].start 32374.27971875
transcript.pyannote[5783].end 32375.14034375
transcript.pyannote[5784].speaker SPEAKER_03
transcript.pyannote[5784].start 32375.14034375
transcript.pyannote[5784].end 32380.35471875
transcript.pyannote[5785].speaker SPEAKER_09
transcript.pyannote[5785].start 32379.17346875
transcript.pyannote[5785].end 32379.96659375
transcript.pyannote[5786].speaker SPEAKER_36
transcript.pyannote[5786].start 32379.96659375
transcript.pyannote[5786].end 32380.32096875
transcript.pyannote[5787].speaker SPEAKER_36
transcript.pyannote[5787].start 32380.35471875
transcript.pyannote[5787].end 32380.38846875
transcript.pyannote[5788].speaker SPEAKER_03
transcript.pyannote[5788].start 32380.38846875
transcript.pyannote[5788].end 32391.52596875
transcript.pyannote[5789].speaker SPEAKER_03
transcript.pyannote[5789].start 32391.64409375
transcript.pyannote[5789].end 32448.32721875
transcript.pyannote[5790].speaker SPEAKER_03
transcript.pyannote[5790].start 32448.56346875
transcript.pyannote[5790].end 32461.32096875
transcript.pyannote[5791].speaker SPEAKER_36
transcript.pyannote[5791].start 32461.72596875
transcript.pyannote[5791].end 32462.11409375
transcript.pyannote[5792].speaker SPEAKER_03
transcript.pyannote[5792].start 32462.18159375
transcript.pyannote[5792].end 32479.10721875
transcript.pyannote[5793].speaker SPEAKER_03
transcript.pyannote[5793].start 32479.61346875
transcript.pyannote[5793].end 32488.50659375
transcript.pyannote[5794].speaker SPEAKER_10
transcript.pyannote[5794].start 32488.79346875
transcript.pyannote[5794].end 32492.42159375
transcript.pyannote[5795].speaker SPEAKER_10
transcript.pyannote[5795].start 32492.60721875
transcript.pyannote[5795].end 32499.37409375
transcript.pyannote[5796].speaker SPEAKER_10
transcript.pyannote[5796].start 32499.55971875
transcript.pyannote[5796].end 32501.11221875
transcript.pyannote[5797].speaker SPEAKER_10
transcript.pyannote[5797].start 32501.17971875
transcript.pyannote[5797].end 32502.59721875
transcript.pyannote[5798].speaker SPEAKER_10
transcript.pyannote[5798].start 32502.88409375
transcript.pyannote[5798].end 32503.62659375
transcript.pyannote[5799].speaker SPEAKER_10
transcript.pyannote[5799].start 32503.98096875
transcript.pyannote[5799].end 32508.63846875
transcript.pyannote[5800].speaker SPEAKER_03
transcript.pyannote[5800].start 32508.95909375
transcript.pyannote[5800].end 32526.82971875
transcript.pyannote[5801].speaker SPEAKER_10
transcript.pyannote[5801].start 32512.43534375
transcript.pyannote[5801].end 32512.97534375
transcript.pyannote[5802].speaker SPEAKER_00
transcript.pyannote[5802].start 32517.39659375
transcript.pyannote[5802].end 32518.24034375
transcript.pyannote[5803].speaker SPEAKER_37
transcript.pyannote[5803].start 32526.82971875
transcript.pyannote[5803].end 32527.36971875
transcript.pyannote[5804].speaker SPEAKER_37
transcript.pyannote[5804].start 32527.84221875
transcript.pyannote[5804].end 32532.14534375
transcript.pyannote[5805].speaker SPEAKER_37
transcript.pyannote[5805].start 32534.71034375
transcript.pyannote[5805].end 32540.21159375
transcript.pyannote[5806].speaker SPEAKER_39
transcript.pyannote[5806].start 32545.83096875
transcript.pyannote[5806].end 32547.70409375
transcript.pyannote[5807].speaker SPEAKER_37
transcript.pyannote[5807].start 32547.78846875
transcript.pyannote[5807].end 32549.25659375
transcript.pyannote[5808].speaker SPEAKER_10
transcript.pyannote[5808].start 32558.55471875
transcript.pyannote[5808].end 32559.85409375
transcript.pyannote[5809].speaker SPEAKER_39
transcript.pyannote[5809].start 32560.07346875
transcript.pyannote[5809].end 32561.17034375
transcript.pyannote[5810].speaker SPEAKER_10
transcript.pyannote[5810].start 32562.63846875
transcript.pyannote[5810].end 32562.67221875
transcript.pyannote[5811].speaker SPEAKER_39
transcript.pyannote[5811].start 32562.67221875
transcript.pyannote[5811].end 32562.77346875
transcript.pyannote[5812].speaker SPEAKER_10
transcript.pyannote[5812].start 32562.77346875
transcript.pyannote[5812].end 32562.84096875
transcript.pyannote[5813].speaker SPEAKER_39
transcript.pyannote[5813].start 32562.84096875
transcript.pyannote[5813].end 32563.04346875
transcript.pyannote[5814].speaker SPEAKER_39
transcript.pyannote[5814].start 32563.39784375
transcript.pyannote[5814].end 32565.38909375
transcript.pyannote[5815].speaker SPEAKER_10
transcript.pyannote[5815].start 32565.30471875
transcript.pyannote[5815].end 32565.37221875
transcript.pyannote[5816].speaker SPEAKER_10
transcript.pyannote[5816].start 32565.38909375
transcript.pyannote[5816].end 32565.67596875
transcript.pyannote[5817].speaker SPEAKER_39
transcript.pyannote[5817].start 32565.67596875
transcript.pyannote[5817].end 32579.32784375
transcript.pyannote[5818].speaker SPEAKER_39
transcript.pyannote[5818].start 32579.91846875
transcript.pyannote[5818].end 32583.36096875
transcript.pyannote[5819].speaker SPEAKER_39
transcript.pyannote[5819].start 32583.68159375
transcript.pyannote[5819].end 32602.59846875
transcript.pyannote[5820].speaker SPEAKER_39
transcript.pyannote[5820].start 32602.83471875
transcript.pyannote[5820].end 32605.50096875
transcript.pyannote[5821].speaker SPEAKER_39
transcript.pyannote[5821].start 32605.85534375
transcript.pyannote[5821].end 32617.24596875
transcript.pyannote[5822].speaker SPEAKER_39
transcript.pyannote[5822].start 32617.80284375
transcript.pyannote[5822].end 32620.67159375
transcript.pyannote[5823].speaker SPEAKER_10
transcript.pyannote[5823].start 32621.31284375
transcript.pyannote[5823].end 32622.32534375
transcript.pyannote[5824].speaker SPEAKER_10
transcript.pyannote[5824].start 32622.81471875
transcript.pyannote[5824].end 32630.37471875
transcript.pyannote[5825].speaker SPEAKER_39
transcript.pyannote[5825].start 32629.56471875
transcript.pyannote[5825].end 32629.73346875
transcript.pyannote[5826].speaker SPEAKER_00
transcript.pyannote[5826].start 32629.73346875
transcript.pyannote[5826].end 32629.75034375
transcript.pyannote[5827].speaker SPEAKER_10
transcript.pyannote[5827].start 32630.69534375
transcript.pyannote[5827].end 32636.17971875
transcript.pyannote[5828].speaker SPEAKER_10
transcript.pyannote[5828].start 32636.48346875
transcript.pyannote[5828].end 32638.50846875
transcript.pyannote[5829].speaker SPEAKER_10
transcript.pyannote[5829].start 32638.94721875
transcript.pyannote[5829].end 32645.42721875
transcript.pyannote[5830].speaker SPEAKER_10
transcript.pyannote[5830].start 32645.64659375
transcript.pyannote[5830].end 32647.33409375
transcript.pyannote[5831].speaker SPEAKER_39
transcript.pyannote[5831].start 32645.71409375
transcript.pyannote[5831].end 32646.11909375
transcript.pyannote[5832].speaker SPEAKER_10
transcript.pyannote[5832].start 32647.57034375
transcript.pyannote[5832].end 32652.36284375
transcript.pyannote[5833].speaker SPEAKER_39
transcript.pyannote[5833].start 32652.49784375
transcript.pyannote[5833].end 32658.89346875
transcript.pyannote[5834].speaker SPEAKER_39
transcript.pyannote[5834].start 32659.24784375
transcript.pyannote[5834].end 32662.40346875
transcript.pyannote[5835].speaker SPEAKER_39
transcript.pyannote[5835].start 32662.77471875
transcript.pyannote[5835].end 32718.05721875
transcript.pyannote[5836].speaker SPEAKER_36
transcript.pyannote[5836].start 32714.85096875
transcript.pyannote[5836].end 32714.88471875
transcript.pyannote[5837].speaker SPEAKER_36
transcript.pyannote[5837].start 32715.00284375
transcript.pyannote[5837].end 32715.01971875
transcript.pyannote[5838].speaker SPEAKER_39
transcript.pyannote[5838].start 32718.19221875
transcript.pyannote[5838].end 32719.30596875
transcript.pyannote[5839].speaker SPEAKER_39
transcript.pyannote[5839].start 32719.60971875
transcript.pyannote[5839].end 32721.98909375
transcript.pyannote[5840].speaker SPEAKER_39
transcript.pyannote[5840].start 32723.25471875
transcript.pyannote[5840].end 32725.80284375
transcript.pyannote[5841].speaker SPEAKER_39
transcript.pyannote[5841].start 32726.44409375
transcript.pyannote[5841].end 32727.79409375
transcript.pyannote[5842].speaker SPEAKER_39
transcript.pyannote[5842].start 32728.03034375
transcript.pyannote[5842].end 32729.59971875
transcript.pyannote[5843].speaker SPEAKER_39
transcript.pyannote[5843].start 32730.08909375
transcript.pyannote[5843].end 32733.34596875
transcript.pyannote[5844].speaker SPEAKER_39
transcript.pyannote[5844].start 32733.88596875
transcript.pyannote[5844].end 32735.32034375
transcript.pyannote[5845].speaker SPEAKER_39
transcript.pyannote[5845].start 32735.55659375
transcript.pyannote[5845].end 32736.88971875
transcript.pyannote[5846].speaker SPEAKER_39
transcript.pyannote[5846].start 32738.37471875
transcript.pyannote[5846].end 32739.45471875
transcript.pyannote[5847].speaker SPEAKER_39
transcript.pyannote[5847].start 32739.97784375
transcript.pyannote[5847].end 32742.39096875
transcript.pyannote[5848].speaker SPEAKER_39
transcript.pyannote[5848].start 32742.89721875
transcript.pyannote[5848].end 32747.77409375
transcript.pyannote[5849].speaker SPEAKER_39
transcript.pyannote[5849].start 32748.24659375
transcript.pyannote[5849].end 32749.15784375
transcript.pyannote[5850].speaker SPEAKER_39
transcript.pyannote[5850].start 32749.68096875
transcript.pyannote[5850].end 32751.19971875
transcript.pyannote[5851].speaker SPEAKER_00
transcript.pyannote[5851].start 32749.83284375
transcript.pyannote[5851].end 32749.86659375
transcript.pyannote[5852].speaker SPEAKER_36
transcript.pyannote[5852].start 32749.86659375
transcript.pyannote[5852].end 32749.95096875
transcript.pyannote[5853].speaker SPEAKER_00
transcript.pyannote[5853].start 32749.95096875
transcript.pyannote[5853].end 32750.08596875
transcript.pyannote[5854].speaker SPEAKER_39
transcript.pyannote[5854].start 32751.36846875
transcript.pyannote[5854].end 32754.42284375
transcript.pyannote[5855].speaker SPEAKER_39
transcript.pyannote[5855].start 32754.82784375
transcript.pyannote[5855].end 32754.84471875
transcript.pyannote[5856].speaker SPEAKER_36
transcript.pyannote[5856].start 32754.84471875
transcript.pyannote[5856].end 32754.99659375
transcript.pyannote[5857].speaker SPEAKER_39
transcript.pyannote[5857].start 32754.99659375
transcript.pyannote[5857].end 32761.08846875
transcript.pyannote[5858].speaker SPEAKER_39
transcript.pyannote[5858].start 32762.40471875
transcript.pyannote[5858].end 32763.87284375
transcript.pyannote[5859].speaker SPEAKER_39
transcript.pyannote[5859].start 32764.66596875
transcript.pyannote[5859].end 32766.35346875
transcript.pyannote[5860].speaker SPEAKER_39
transcript.pyannote[5860].start 32766.69096875
transcript.pyannote[5860].end 32770.42034375
transcript.pyannote[5861].speaker SPEAKER_39
transcript.pyannote[5861].start 32770.99409375
transcript.pyannote[5861].end 32772.56346875
transcript.pyannote[5862].speaker SPEAKER_39
transcript.pyannote[5862].start 32773.52534375
transcript.pyannote[5862].end 32775.11159375
transcript.pyannote[5863].speaker SPEAKER_39
transcript.pyannote[5863].start 32775.56721875
transcript.pyannote[5863].end 32776.49534375
transcript.pyannote[5864].speaker SPEAKER_39
transcript.pyannote[5864].start 32777.05221875
transcript.pyannote[5864].end 32777.92971875
transcript.pyannote[5865].speaker SPEAKER_39
transcript.pyannote[5865].start 32778.28409375
transcript.pyannote[5865].end 32779.68471875
transcript.pyannote[5866].speaker SPEAKER_39
transcript.pyannote[5866].start 32780.35971875
transcript.pyannote[5866].end 32783.75159375
transcript.pyannote[5867].speaker SPEAKER_39
transcript.pyannote[5867].start 32784.08909375
transcript.pyannote[5867].end 32785.06784375
transcript.pyannote[5868].speaker SPEAKER_39
transcript.pyannote[5868].start 32785.21971875
transcript.pyannote[5868].end 32786.85659375
transcript.pyannote[5869].speaker SPEAKER_39
transcript.pyannote[5869].start 32787.00846875
transcript.pyannote[5869].end 32789.92784375
transcript.pyannote[5870].speaker SPEAKER_39
transcript.pyannote[5870].start 32790.04596875
transcript.pyannote[5870].end 32793.92721875
transcript.pyannote[5871].speaker SPEAKER_39
transcript.pyannote[5871].start 32794.53471875
transcript.pyannote[5871].end 32799.22596875
transcript.pyannote[5872].speaker SPEAKER_39
transcript.pyannote[5872].start 32799.73221875
transcript.pyannote[5872].end 32801.35221875
transcript.pyannote[5873].speaker SPEAKER_39
transcript.pyannote[5873].start 32802.09471875
transcript.pyannote[5873].end 32803.59659375
transcript.pyannote[5874].speaker SPEAKER_39
transcript.pyannote[5874].start 32803.96784375
transcript.pyannote[5874].end 32804.65971875
transcript.pyannote[5875].speaker SPEAKER_39
transcript.pyannote[5875].start 32805.35159375
transcript.pyannote[5875].end 32808.15284375
transcript.pyannote[5876].speaker SPEAKER_39
transcript.pyannote[5876].start 32808.45659375
transcript.pyannote[5876].end 32809.80659375
transcript.pyannote[5877].speaker SPEAKER_39
transcript.pyannote[5877].start 32810.32971875
transcript.pyannote[5877].end 32820.94409375
transcript.pyannote[5878].speaker SPEAKER_39
transcript.pyannote[5878].start 32821.19721875
transcript.pyannote[5878].end 32821.83846875
transcript.pyannote[5879].speaker SPEAKER_39
transcript.pyannote[5879].start 32821.99034375
transcript.pyannote[5879].end 32824.06596875
transcript.pyannote[5880].speaker SPEAKER_39
transcript.pyannote[5880].start 32824.65659375
transcript.pyannote[5880].end 32828.48721875
transcript.pyannote[5881].speaker SPEAKER_39
transcript.pyannote[5881].start 32828.68971875
transcript.pyannote[5881].end 32829.60096875
transcript.pyannote[5882].speaker SPEAKER_39
transcript.pyannote[5882].start 32830.25909375
transcript.pyannote[5882].end 32832.04784375
transcript.pyannote[5883].speaker SPEAKER_10
transcript.pyannote[5883].start 32832.68909375
transcript.pyannote[5883].end 32833.33034375
transcript.pyannote[5884].speaker SPEAKER_10
transcript.pyannote[5884].start 32833.70159375
transcript.pyannote[5884].end 32843.33721875
transcript.pyannote[5885].speaker SPEAKER_10
transcript.pyannote[5885].start 32843.40471875
transcript.pyannote[5885].end 32846.00346875
transcript.pyannote[5886].speaker SPEAKER_00
transcript.pyannote[5886].start 32843.77596875
transcript.pyannote[5886].end 32844.43409375
transcript.pyannote[5887].speaker SPEAKER_10
transcript.pyannote[5887].start 32846.42534375
transcript.pyannote[5887].end 32848.21409375
transcript.pyannote[5888].speaker SPEAKER_10
transcript.pyannote[5888].start 32848.80471875
transcript.pyannote[5888].end 32850.86346875
transcript.pyannote[5889].speaker SPEAKER_10
transcript.pyannote[5889].start 32851.20096875
transcript.pyannote[5889].end 32855.33534375
transcript.pyannote[5890].speaker SPEAKER_10
transcript.pyannote[5890].start 32855.47034375
transcript.pyannote[5890].end 32856.34784375
transcript.pyannote[5891].speaker SPEAKER_10
transcript.pyannote[5891].start 32857.05659375
transcript.pyannote[5891].end 32860.63409375
transcript.pyannote[5892].speaker SPEAKER_39
transcript.pyannote[5892].start 32860.63409375
transcript.pyannote[5892].end 32870.80971875
transcript.pyannote[5893].speaker SPEAKER_10
transcript.pyannote[5893].start 32862.22034375
transcript.pyannote[5893].end 32862.27096875
transcript.pyannote[5894].speaker SPEAKER_10
transcript.pyannote[5894].start 32862.37221875
transcript.pyannote[5894].end 32862.55784375
transcript.pyannote[5895].speaker SPEAKER_15
transcript.pyannote[5895].start 32862.55784375
transcript.pyannote[5895].end 32862.57471875
transcript.pyannote[5896].speaker SPEAKER_39
transcript.pyannote[5896].start 32871.23159375
transcript.pyannote[5896].end 32872.85159375
transcript.pyannote[5897].speaker SPEAKER_39
transcript.pyannote[5897].start 32873.15534375
transcript.pyannote[5897].end 32875.85534375
transcript.pyannote[5898].speaker SPEAKER_39
transcript.pyannote[5898].start 32876.12534375
transcript.pyannote[5898].end 32877.69471875
transcript.pyannote[5899].speaker SPEAKER_39
transcript.pyannote[5899].start 32878.09971875
transcript.pyannote[5899].end 32890.65471875
transcript.pyannote[5900].speaker SPEAKER_39
transcript.pyannote[5900].start 32890.78971875
transcript.pyannote[5900].end 32900.42534375
transcript.pyannote[5901].speaker SPEAKER_39
transcript.pyannote[5901].start 32901.11721875
transcript.pyannote[5901].end 32904.12096875
transcript.pyannote[5902].speaker SPEAKER_10
transcript.pyannote[5902].start 32902.85534375
transcript.pyannote[5902].end 32903.14221875
transcript.pyannote[5903].speaker SPEAKER_10
transcript.pyannote[5903].start 32904.00284375
transcript.pyannote[5903].end 32910.75284375
transcript.pyannote[5904].speaker SPEAKER_39
transcript.pyannote[5904].start 32911.00596875
transcript.pyannote[5904].end 32916.18659375
transcript.pyannote[5905].speaker SPEAKER_10
transcript.pyannote[5905].start 32916.45659375
transcript.pyannote[5905].end 32916.49034375
transcript.pyannote[5906].speaker SPEAKER_39
transcript.pyannote[5906].start 32916.49034375
transcript.pyannote[5906].end 32919.32534375
transcript.pyannote[5907].speaker SPEAKER_39
transcript.pyannote[5907].start 32919.52784375
transcript.pyannote[5907].end 32920.00034375
transcript.pyannote[5908].speaker SPEAKER_39
transcript.pyannote[5908].start 32920.32096875
transcript.pyannote[5908].end 32922.19409375
transcript.pyannote[5909].speaker SPEAKER_39
transcript.pyannote[5909].start 32922.51471875
transcript.pyannote[5909].end 32924.80971875
transcript.pyannote[5910].speaker SPEAKER_39
transcript.pyannote[5910].start 32925.23159375
transcript.pyannote[5910].end 32927.94846875
transcript.pyannote[5911].speaker SPEAKER_39
transcript.pyannote[5911].start 32928.43784375
transcript.pyannote[5911].end 32929.82159375
transcript.pyannote[5912].speaker SPEAKER_39
transcript.pyannote[5912].start 32930.56409375
transcript.pyannote[5912].end 32931.22221875
transcript.pyannote[5913].speaker SPEAKER_39
transcript.pyannote[5913].start 32931.59346875
transcript.pyannote[5913].end 32934.31034375
transcript.pyannote[5914].speaker SPEAKER_39
transcript.pyannote[5914].start 32934.83346875
transcript.pyannote[5914].end 32935.50846875
transcript.pyannote[5915].speaker SPEAKER_39
transcript.pyannote[5915].start 32936.14971875
transcript.pyannote[5915].end 32936.43659375
transcript.pyannote[5916].speaker SPEAKER_39
transcript.pyannote[5916].start 32936.92596875
transcript.pyannote[5916].end 32937.73596875
transcript.pyannote[5917].speaker SPEAKER_39
transcript.pyannote[5917].start 32938.49534375
transcript.pyannote[5917].end 32940.45284375
transcript.pyannote[5918].speaker SPEAKER_39
transcript.pyannote[5918].start 32941.12784375
transcript.pyannote[5918].end 32942.76471875
transcript.pyannote[5919].speaker SPEAKER_39
transcript.pyannote[5919].start 32943.57471875
transcript.pyannote[5919].end 32945.63346875
transcript.pyannote[5920].speaker SPEAKER_39
transcript.pyannote[5920].start 32946.07221875
transcript.pyannote[5920].end 32947.59096875
transcript.pyannote[5921].speaker SPEAKER_39
transcript.pyannote[5921].start 32948.23221875
transcript.pyannote[5921].end 32950.00409375
transcript.pyannote[5922].speaker SPEAKER_39
transcript.pyannote[5922].start 32950.37534375
transcript.pyannote[5922].end 32951.74221875
transcript.pyannote[5923].speaker SPEAKER_39
transcript.pyannote[5923].start 32952.33284375
transcript.pyannote[5923].end 32953.17659375
transcript.pyannote[5924].speaker SPEAKER_39
transcript.pyannote[5924].start 32954.13846875
transcript.pyannote[5924].end 32955.33659375
transcript.pyannote[5925].speaker SPEAKER_39
transcript.pyannote[5925].start 32956.07909375
transcript.pyannote[5925].end 32957.19284375
transcript.pyannote[5926].speaker SPEAKER_39
transcript.pyannote[5926].start 32957.53034375
transcript.pyannote[5926].end 32958.55971875
transcript.pyannote[5927].speaker SPEAKER_39
transcript.pyannote[5927].start 32959.06596875
transcript.pyannote[5927].end 32959.92659375
transcript.pyannote[5928].speaker SPEAKER_39
transcript.pyannote[5928].start 32960.11221875
transcript.pyannote[5928].end 32961.49596875
transcript.pyannote[5929].speaker SPEAKER_39
transcript.pyannote[5929].start 32961.86721875
transcript.pyannote[5929].end 32962.86284375
transcript.pyannote[5930].speaker SPEAKER_39
transcript.pyannote[5930].start 32963.36909375
transcript.pyannote[5930].end 32964.63471875
transcript.pyannote[5931].speaker SPEAKER_39
transcript.pyannote[5931].start 32965.05659375
transcript.pyannote[5931].end 32965.68096875
transcript.pyannote[5932].speaker SPEAKER_39
transcript.pyannote[5932].start 32966.28846875
transcript.pyannote[5932].end 32966.86221875
transcript.pyannote[5933].speaker SPEAKER_39
transcript.pyannote[5933].start 32967.43596875
transcript.pyannote[5933].end 32967.92534375
transcript.pyannote[5934].speaker SPEAKER_39
transcript.pyannote[5934].start 32968.11096875
transcript.pyannote[5934].end 32968.66784375
transcript.pyannote[5935].speaker SPEAKER_39
transcript.pyannote[5935].start 32971.40159375
transcript.pyannote[5935].end 32973.56159375
transcript.pyannote[5936].speaker SPEAKER_39
transcript.pyannote[5936].start 32973.73034375
transcript.pyannote[5936].end 32976.80159375
transcript.pyannote[5937].speaker SPEAKER_39
transcript.pyannote[5937].start 32976.88596875
transcript.pyannote[5937].end 32979.11346875
transcript.pyannote[5938].speaker SPEAKER_39
transcript.pyannote[5938].start 32979.97409375
transcript.pyannote[5938].end 32982.01596875
transcript.pyannote[5939].speaker SPEAKER_39
transcript.pyannote[5939].start 32982.38721875
transcript.pyannote[5939].end 32982.94409375
transcript.pyannote[5940].speaker SPEAKER_39
transcript.pyannote[5940].start 32983.92284375
transcript.pyannote[5940].end 32984.74971875
transcript.pyannote[5941].speaker SPEAKER_39
transcript.pyannote[5941].start 32985.32346875
transcript.pyannote[5941].end 32986.96034375
transcript.pyannote[5942].speaker SPEAKER_39
transcript.pyannote[5942].start 32987.19659375
transcript.pyannote[5942].end 32989.10346875
transcript.pyannote[5943].speaker SPEAKER_39
transcript.pyannote[5943].start 32989.74471875
transcript.pyannote[5943].end 32992.46159375
transcript.pyannote[5944].speaker SPEAKER_39
transcript.pyannote[5944].start 32992.91721875
transcript.pyannote[5944].end 32996.74784375
transcript.pyannote[5945].speaker SPEAKER_39
transcript.pyannote[5945].start 32997.62534375
transcript.pyannote[5945].end 33001.25346875
transcript.pyannote[5946].speaker SPEAKER_39
transcript.pyannote[5946].start 33001.42221875
transcript.pyannote[5946].end 33001.92846875
transcript.pyannote[5947].speaker SPEAKER_39
transcript.pyannote[5947].start 33002.53596875
transcript.pyannote[5947].end 33008.08784375
transcript.pyannote[5948].speaker SPEAKER_39
transcript.pyannote[5948].start 33008.50971875
transcript.pyannote[5948].end 33009.45471875
transcript.pyannote[5949].speaker SPEAKER_39
transcript.pyannote[5949].start 33009.57284375
transcript.pyannote[5949].end 33016.08659375
transcript.pyannote[5950].speaker SPEAKER_39
transcript.pyannote[5950].start 33016.52534375
transcript.pyannote[5950].end 33016.98096875
transcript.pyannote[5951].speaker SPEAKER_39
transcript.pyannote[5951].start 33017.08221875
transcript.pyannote[5951].end 33019.44471875
transcript.pyannote[5952].speaker SPEAKER_39
transcript.pyannote[5952].start 33021.04784375
transcript.pyannote[5952].end 33022.11096875
transcript.pyannote[5953].speaker SPEAKER_39
transcript.pyannote[5953].start 33022.58346875
transcript.pyannote[5953].end 33023.27534375
transcript.pyannote[5954].speaker SPEAKER_39
transcript.pyannote[5954].start 33024.43971875
transcript.pyannote[5954].end 33025.46909375
transcript.pyannote[5955].speaker SPEAKER_39
transcript.pyannote[5955].start 33025.85721875
transcript.pyannote[5955].end 33028.35471875
transcript.pyannote[5956].speaker SPEAKER_39
transcript.pyannote[5956].start 33028.64159375
transcript.pyannote[5956].end 33029.41784375
transcript.pyannote[5957].speaker SPEAKER_39
transcript.pyannote[5957].start 33030.05909375
transcript.pyannote[5957].end 33032.48909375
transcript.pyannote[5958].speaker SPEAKER_39
transcript.pyannote[5958].start 33032.55659375
transcript.pyannote[5958].end 33034.58159375
transcript.pyannote[5959].speaker SPEAKER_39
transcript.pyannote[5959].start 33034.96971875
transcript.pyannote[5959].end 33035.44221875
transcript.pyannote[5960].speaker SPEAKER_39
transcript.pyannote[5960].start 33036.47159375
transcript.pyannote[5960].end 33037.07909375
transcript.pyannote[5961].speaker SPEAKER_39
transcript.pyannote[5961].start 33037.39971875
transcript.pyannote[5961].end 33039.23909375
transcript.pyannote[5962].speaker SPEAKER_36
transcript.pyannote[5962].start 33039.93096875
transcript.pyannote[5962].end 33040.01534375
transcript.pyannote[5963].speaker SPEAKER_39
transcript.pyannote[5963].start 33040.01534375
transcript.pyannote[5963].end 33040.58909375
transcript.pyannote[5964].speaker SPEAKER_39
transcript.pyannote[5964].start 33040.97721875
transcript.pyannote[5964].end 33041.95596875
transcript.pyannote[5965].speaker SPEAKER_39
transcript.pyannote[5965].start 33042.51284375
transcript.pyannote[5965].end 33044.06534375
transcript.pyannote[5966].speaker SPEAKER_39
transcript.pyannote[5966].start 33045.12846875
transcript.pyannote[5966].end 33047.23784375
transcript.pyannote[5967].speaker SPEAKER_39
transcript.pyannote[5967].start 33047.96346875
transcript.pyannote[5967].end 33049.02659375
transcript.pyannote[5968].speaker SPEAKER_39
transcript.pyannote[5968].start 33049.34721875
transcript.pyannote[5968].end 33049.85346875
transcript.pyannote[5969].speaker SPEAKER_10
transcript.pyannote[5969].start 33050.91659375
transcript.pyannote[5969].end 33052.31721875
transcript.pyannote[5970].speaker SPEAKER_39
transcript.pyannote[5970].start 33051.32159375
transcript.pyannote[5970].end 33054.81471875
transcript.pyannote[5971].speaker SPEAKER_10
transcript.pyannote[5971].start 33053.83596875
transcript.pyannote[5971].end 33054.25784375
transcript.pyannote[5972].speaker SPEAKER_10
transcript.pyannote[5972].start 33055.18596875
transcript.pyannote[5972].end 33057.56534375
transcript.pyannote[5973].speaker SPEAKER_10
transcript.pyannote[5973].start 33057.63284375
transcript.pyannote[5973].end 33059.92784375
transcript.pyannote[5974].speaker SPEAKER_10
transcript.pyannote[5974].start 33060.21471875
transcript.pyannote[5974].end 33063.28596875
transcript.pyannote[5975].speaker SPEAKER_39
transcript.pyannote[5975].start 33063.97784375
transcript.pyannote[5975].end 33066.32346875
transcript.pyannote[5976].speaker SPEAKER_10
transcript.pyannote[5976].start 33066.52596875
transcript.pyannote[5976].end 33066.99846875
transcript.pyannote[5977].speaker SPEAKER_39
transcript.pyannote[5977].start 33067.09971875
transcript.pyannote[5977].end 33071.92596875
transcript.pyannote[5978].speaker SPEAKER_39
transcript.pyannote[5978].start 33072.51659375
transcript.pyannote[5978].end 33073.34346875
transcript.pyannote[5979].speaker SPEAKER_39
transcript.pyannote[5979].start 33073.54596875
transcript.pyannote[5979].end 33074.98034375
transcript.pyannote[5980].speaker SPEAKER_39
transcript.pyannote[5980].start 33075.09846875
transcript.pyannote[5980].end 33076.00971875
transcript.pyannote[5981].speaker SPEAKER_39
transcript.pyannote[5981].start 33076.27971875
transcript.pyannote[5981].end 33077.19096875
transcript.pyannote[5982].speaker SPEAKER_39
transcript.pyannote[5982].start 33078.79409375
transcript.pyannote[5982].end 33082.74284375
transcript.pyannote[5983].speaker SPEAKER_10
transcript.pyannote[5983].start 33079.03034375
transcript.pyannote[5983].end 33079.90784375
transcript.pyannote[5984].speaker SPEAKER_10
transcript.pyannote[5984].start 33082.03409375
transcript.pyannote[5984].end 33082.59096875
transcript.pyannote[5985].speaker SPEAKER_10
transcript.pyannote[5985].start 33082.74284375
transcript.pyannote[5985].end 33088.88534375
transcript.pyannote[5986].speaker SPEAKER_10
transcript.pyannote[5986].start 33089.34096875
transcript.pyannote[5986].end 33090.85971875
transcript.pyannote[5987].speaker SPEAKER_10
transcript.pyannote[5987].start 33091.31534375
transcript.pyannote[5987].end 33092.49659375
transcript.pyannote[5988].speaker SPEAKER_10
transcript.pyannote[5988].start 33092.81721875
transcript.pyannote[5988].end 33095.61846875
transcript.pyannote[5989].speaker SPEAKER_41
transcript.pyannote[5989].start 33095.66909375
transcript.pyannote[5989].end 33096.51284375
transcript.pyannote[5990].speaker SPEAKER_41
transcript.pyannote[5990].start 33097.01909375
transcript.pyannote[5990].end 33102.97596875
transcript.pyannote[5991].speaker SPEAKER_39
transcript.pyannote[5991].start 33098.03159375
transcript.pyannote[5991].end 33098.11596875
transcript.pyannote[5992].speaker SPEAKER_39
transcript.pyannote[5992].start 33100.41096875
transcript.pyannote[5992].end 33100.81596875
transcript.pyannote[5993].speaker SPEAKER_39
transcript.pyannote[5993].start 33101.50784375
transcript.pyannote[5993].end 33101.92971875
transcript.pyannote[5994].speaker SPEAKER_39
transcript.pyannote[5994].start 33103.12784375
transcript.pyannote[5994].end 33104.24159375
transcript.pyannote[5995].speaker SPEAKER_41
transcript.pyannote[5995].start 33103.85346875
transcript.pyannote[5995].end 33104.22471875
transcript.pyannote[5996].speaker SPEAKER_41
transcript.pyannote[5996].start 33104.24159375
transcript.pyannote[5996].end 33105.03471875
transcript.pyannote[5997].speaker SPEAKER_39
transcript.pyannote[5997].start 33105.03471875
transcript.pyannote[5997].end 33105.64221875
transcript.pyannote[5998].speaker SPEAKER_41
transcript.pyannote[5998].start 33105.64221875
transcript.pyannote[5998].end 33105.84471875
transcript.pyannote[5999].speaker SPEAKER_39
transcript.pyannote[5999].start 33105.84471875
transcript.pyannote[5999].end 33105.91221875
transcript.pyannote[6000].speaker SPEAKER_39
transcript.pyannote[6000].start 33106.19909375
transcript.pyannote[6000].end 33109.03409375
transcript.pyannote[6001].speaker SPEAKER_39
transcript.pyannote[6001].start 33109.52346875
transcript.pyannote[6001].end 33114.70409375
transcript.pyannote[6002].speaker SPEAKER_24
transcript.pyannote[6002].start 33114.77159375
transcript.pyannote[6002].end 33115.39596875
transcript.pyannote[6003].speaker SPEAKER_39
transcript.pyannote[6003].start 33115.29471875
transcript.pyannote[6003].end 33117.42096875
transcript.pyannote[6004].speaker SPEAKER_24
transcript.pyannote[6004].start 33117.42096875
transcript.pyannote[6004].end 33117.65721875
transcript.pyannote[6005].speaker SPEAKER_39
transcript.pyannote[6005].start 33117.65721875
transcript.pyannote[6005].end 33119.31096875
transcript.pyannote[6006].speaker SPEAKER_24
transcript.pyannote[6006].start 33117.75846875
transcript.pyannote[6006].end 33117.84284375
transcript.pyannote[6007].speaker SPEAKER_41
transcript.pyannote[6007].start 33117.84284375
transcript.pyannote[6007].end 33117.85971875
transcript.pyannote[6008].speaker SPEAKER_24
transcript.pyannote[6008].start 33117.85971875
transcript.pyannote[6008].end 33117.89346875
transcript.pyannote[6009].speaker SPEAKER_39
transcript.pyannote[6009].start 33119.68221875
transcript.pyannote[6009].end 33121.26846875
transcript.pyannote[6010].speaker SPEAKER_41
transcript.pyannote[6010].start 33121.47096875
transcript.pyannote[6010].end 33128.47409375
transcript.pyannote[6011].speaker SPEAKER_41
transcript.pyannote[6011].start 33128.50784375
transcript.pyannote[6011].end 33128.52471875
transcript.pyannote[6012].speaker SPEAKER_39
transcript.pyannote[6012].start 33128.52471875
transcript.pyannote[6012].end 33128.65971875
transcript.pyannote[6013].speaker SPEAKER_39
transcript.pyannote[6013].start 33128.84534375
transcript.pyannote[6013].end 33138.63284375
transcript.pyannote[6014].speaker SPEAKER_39
transcript.pyannote[6014].start 33138.76784375
transcript.pyannote[6014].end 33140.64096875
transcript.pyannote[6015].speaker SPEAKER_39
transcript.pyannote[6015].start 33140.80971875
transcript.pyannote[6015].end 33151.45784375
transcript.pyannote[6016].speaker SPEAKER_39
transcript.pyannote[6016].start 33151.64346875
transcript.pyannote[6016].end 33155.94659375
transcript.pyannote[6017].speaker SPEAKER_39
transcript.pyannote[6017].start 33156.16596875
transcript.pyannote[6017].end 33158.78159375
transcript.pyannote[6018].speaker SPEAKER_39
transcript.pyannote[6018].start 33159.74346875
transcript.pyannote[6018].end 33161.43096875
transcript.pyannote[6019].speaker SPEAKER_41
transcript.pyannote[6019].start 33160.72221875
transcript.pyannote[6019].end 33165.26159375
transcript.pyannote[6020].speaker SPEAKER_39
transcript.pyannote[6020].start 33165.86909375
transcript.pyannote[6020].end 33173.39534375
transcript.pyannote[6021].speaker SPEAKER_39
transcript.pyannote[6021].start 33173.96909375
transcript.pyannote[6021].end 33173.98596875
transcript.pyannote[6022].speaker SPEAKER_39
transcript.pyannote[6022].start 33174.25596875
transcript.pyannote[6022].end 33175.82534375
transcript.pyannote[6023].speaker SPEAKER_39
transcript.pyannote[6023].start 33176.16284375
transcript.pyannote[6023].end 33177.68159375
transcript.pyannote[6024].speaker SPEAKER_39
transcript.pyannote[6024].start 33177.71534375
transcript.pyannote[6024].end 33178.67721875
transcript.pyannote[6025].speaker SPEAKER_39
transcript.pyannote[6025].start 33179.43659375
transcript.pyannote[6025].end 33181.37721875
transcript.pyannote[6026].speaker SPEAKER_39
transcript.pyannote[6026].start 33181.95096875
transcript.pyannote[6026].end 33182.55846875
transcript.pyannote[6027].speaker SPEAKER_39
transcript.pyannote[6027].start 33182.86221875
transcript.pyannote[6027].end 33184.58346875
transcript.pyannote[6028].speaker SPEAKER_39
transcript.pyannote[6028].start 33184.68471875
transcript.pyannote[6028].end 33188.41409375
transcript.pyannote[6029].speaker SPEAKER_39
transcript.pyannote[6029].start 33188.83596875
transcript.pyannote[6029].end 33191.97471875
transcript.pyannote[6030].speaker SPEAKER_39
transcript.pyannote[6030].start 33192.26159375
transcript.pyannote[6030].end 33194.10096875
transcript.pyannote[6031].speaker SPEAKER_39
transcript.pyannote[6031].start 33196.24409375
transcript.pyannote[6031].end 33200.78346875
transcript.pyannote[6032].speaker SPEAKER_39
transcript.pyannote[6032].start 33200.96909375
transcript.pyannote[6032].end 33201.72846875
transcript.pyannote[6033].speaker SPEAKER_39
transcript.pyannote[6033].start 33202.55534375
transcript.pyannote[6033].end 33205.40721875
transcript.pyannote[6034].speaker SPEAKER_39
transcript.pyannote[6034].start 33205.52534375
transcript.pyannote[6034].end 33217.67534375
transcript.pyannote[6035].speaker SPEAKER_39
transcript.pyannote[6035].start 33217.99596875
transcript.pyannote[6035].end 33221.05034375
transcript.pyannote[6036].speaker SPEAKER_39
transcript.pyannote[6036].start 33221.43846875
transcript.pyannote[6036].end 33225.28596875
transcript.pyannote[6037].speaker SPEAKER_39
transcript.pyannote[6037].start 33225.60659375
transcript.pyannote[6037].end 33226.75409375
transcript.pyannote[6038].speaker SPEAKER_39
transcript.pyannote[6038].start 33227.10846875
transcript.pyannote[6038].end 33232.98096875
transcript.pyannote[6039].speaker SPEAKER_39
transcript.pyannote[6039].start 33233.31846875
transcript.pyannote[6039].end 33234.60096875
transcript.pyannote[6040].speaker SPEAKER_39
transcript.pyannote[6040].start 33234.71909375
transcript.pyannote[6040].end 33240.15284375
transcript.pyannote[6041].speaker SPEAKER_39
transcript.pyannote[6041].start 33240.65909375
transcript.pyannote[6041].end 33241.95846875
transcript.pyannote[6042].speaker SPEAKER_39
transcript.pyannote[6042].start 33242.29596875
transcript.pyannote[6042].end 33243.40971875
transcript.pyannote[6043].speaker SPEAKER_39
transcript.pyannote[6043].start 33243.67971875
transcript.pyannote[6043].end 33245.16471875
transcript.pyannote[6044].speaker SPEAKER_39
transcript.pyannote[6044].start 33245.33346875
transcript.pyannote[6044].end 33246.66659375
transcript.pyannote[6045].speaker SPEAKER_39
transcript.pyannote[6045].start 33247.07159375
transcript.pyannote[6045].end 33247.29096875
transcript.pyannote[6046].speaker SPEAKER_39
transcript.pyannote[6046].start 33247.66221875
transcript.pyannote[6046].end 33248.47221875
transcript.pyannote[6047].speaker SPEAKER_39
transcript.pyannote[6047].start 33248.69159375
transcript.pyannote[6047].end 33249.29909375
transcript.pyannote[6048].speaker SPEAKER_39
transcript.pyannote[6048].start 33249.67034375
transcript.pyannote[6048].end 33250.73346875
transcript.pyannote[6049].speaker SPEAKER_39
transcript.pyannote[6049].start 33251.22284375
transcript.pyannote[6049].end 33252.84284375
transcript.pyannote[6050].speaker SPEAKER_39
transcript.pyannote[6050].start 33253.26471875
transcript.pyannote[6050].end 33254.58096875
transcript.pyannote[6051].speaker SPEAKER_39
transcript.pyannote[6051].start 33254.96909375
transcript.pyannote[6051].end 33255.44159375
transcript.pyannote[6052].speaker SPEAKER_39
transcript.pyannote[6052].start 33255.91409375
transcript.pyannote[6052].end 33258.51284375
transcript.pyannote[6053].speaker SPEAKER_39
transcript.pyannote[6053].start 33258.78284375
transcript.pyannote[6053].end 33259.74471875
transcript.pyannote[6054].speaker SPEAKER_39
transcript.pyannote[6054].start 33260.26784375
transcript.pyannote[6054].end 33261.29721875
transcript.pyannote[6055].speaker SPEAKER_39
transcript.pyannote[6055].start 33261.51659375
transcript.pyannote[6055].end 33265.85346875
transcript.pyannote[6056].speaker SPEAKER_39
transcript.pyannote[6056].start 33266.07284375
transcript.pyannote[6056].end 33267.18659375
transcript.pyannote[6057].speaker SPEAKER_39
transcript.pyannote[6057].start 33267.33846875
transcript.pyannote[6057].end 33268.45221875
transcript.pyannote[6058].speaker SPEAKER_00
transcript.pyannote[6058].start 33267.67596875
transcript.pyannote[6058].end 33268.18221875
transcript.pyannote[6059].speaker SPEAKER_39
transcript.pyannote[6059].start 33268.99221875
transcript.pyannote[6059].end 33271.59096875
transcript.pyannote[6060].speaker SPEAKER_39
transcript.pyannote[6060].start 33271.79346875
transcript.pyannote[6060].end 33272.67096875
transcript.pyannote[6061].speaker SPEAKER_39
transcript.pyannote[6061].start 33273.51471875
transcript.pyannote[6061].end 33274.12221875
transcript.pyannote[6062].speaker SPEAKER_39
transcript.pyannote[6062].start 33274.37534375
transcript.pyannote[6062].end 33276.75471875
transcript.pyannote[6063].speaker SPEAKER_39
transcript.pyannote[6063].start 33276.88971875
transcript.pyannote[6063].end 33278.05409375
transcript.pyannote[6064].speaker SPEAKER_39
transcript.pyannote[6064].start 33278.93159375
transcript.pyannote[6064].end 33279.89346875
transcript.pyannote[6065].speaker SPEAKER_39
transcript.pyannote[6065].start 33280.19721875
transcript.pyannote[6065].end 33281.04096875
transcript.pyannote[6066].speaker SPEAKER_39
transcript.pyannote[6066].start 33281.32784375
transcript.pyannote[6066].end 33282.39096875
transcript.pyannote[6067].speaker SPEAKER_39
transcript.pyannote[6067].start 33282.67784375
transcript.pyannote[6067].end 33283.87596875
transcript.pyannote[6068].speaker SPEAKER_39
transcript.pyannote[6068].start 33284.44971875
transcript.pyannote[6068].end 33285.36096875
transcript.pyannote[6069].speaker SPEAKER_39
transcript.pyannote[6069].start 33285.66471875
transcript.pyannote[6069].end 33286.76159375
transcript.pyannote[6070].speaker SPEAKER_39
transcript.pyannote[6070].start 33286.94721875
transcript.pyannote[6070].end 33287.58846875
transcript.pyannote[6071].speaker SPEAKER_39
transcript.pyannote[6071].start 33287.70659375
transcript.pyannote[6071].end 33293.10659375
transcript.pyannote[6072].speaker SPEAKER_39
transcript.pyannote[6072].start 33293.17409375
transcript.pyannote[6072].end 33294.35534375
transcript.pyannote[6073].speaker SPEAKER_39
transcript.pyannote[6073].start 33294.94596875
transcript.pyannote[6073].end 33299.55284375
transcript.pyannote[6074].speaker SPEAKER_39
transcript.pyannote[6074].start 33300.10971875
transcript.pyannote[6074].end 33306.37034375
transcript.pyannote[6075].speaker SPEAKER_39
transcript.pyannote[6075].start 33306.65721875
transcript.pyannote[6075].end 33310.21784375
transcript.pyannote[6076].speaker SPEAKER_39
transcript.pyannote[6076].start 33310.53846875
transcript.pyannote[6076].end 33311.55096875
transcript.pyannote[6077].speaker SPEAKER_39
transcript.pyannote[6077].start 33312.36096875
transcript.pyannote[6077].end 33314.84159375
transcript.pyannote[6078].speaker SPEAKER_39
transcript.pyannote[6078].start 33315.22971875
transcript.pyannote[6078].end 33317.23784375
transcript.pyannote[6079].speaker SPEAKER_39
transcript.pyannote[6079].start 33317.49096875
transcript.pyannote[6079].end 33319.31346875
transcript.pyannote[6080].speaker SPEAKER_39
transcript.pyannote[6080].start 33319.61721875
transcript.pyannote[6080].end 33320.39346875
transcript.pyannote[6081].speaker SPEAKER_39
transcript.pyannote[6081].start 33320.54534375
transcript.pyannote[6081].end 33321.38909375
transcript.pyannote[6082].speaker SPEAKER_39
transcript.pyannote[6082].start 33323.83596875
transcript.pyannote[6082].end 33324.88221875
transcript.pyannote[6083].speaker SPEAKER_39
transcript.pyannote[6083].start 33326.23221875
transcript.pyannote[6083].end 33327.05909375
transcript.pyannote[6084].speaker SPEAKER_39
transcript.pyannote[6084].start 33327.14346875
transcript.pyannote[6084].end 33329.23596875
transcript.pyannote[6085].speaker SPEAKER_39
transcript.pyannote[6085].start 33329.86034375
transcript.pyannote[6085].end 33330.55221875
transcript.pyannote[6086].speaker SPEAKER_39
transcript.pyannote[6086].start 33330.95721875
transcript.pyannote[6086].end 33332.18909375
transcript.pyannote[6087].speaker SPEAKER_39
transcript.pyannote[6087].start 33332.47596875
transcript.pyannote[6087].end 33332.96534375
transcript.pyannote[6088].speaker SPEAKER_39
transcript.pyannote[6088].start 33333.20159375
transcript.pyannote[6088].end 33334.41659375
transcript.pyannote[6089].speaker SPEAKER_39
transcript.pyannote[6089].start 33334.77096875
transcript.pyannote[6089].end 33335.69909375
transcript.pyannote[6090].speaker SPEAKER_39
transcript.pyannote[6090].start 33335.85096875
transcript.pyannote[6090].end 33336.91409375
transcript.pyannote[6091].speaker SPEAKER_39
transcript.pyannote[6091].start 33339.27659375
transcript.pyannote[6091].end 33340.99784375
transcript.pyannote[6092].speaker SPEAKER_39
transcript.pyannote[6092].start 33341.35221875
transcript.pyannote[6092].end 33345.31784375
transcript.pyannote[6093].speaker SPEAKER_39
transcript.pyannote[6093].start 33345.95909375
transcript.pyannote[6093].end 33346.92096875
transcript.pyannote[6094].speaker SPEAKER_39
transcript.pyannote[6094].start 33347.56221875
transcript.pyannote[6094].end 33348.42284375
transcript.pyannote[6095].speaker SPEAKER_29
transcript.pyannote[6095].start 33348.92909375
transcript.pyannote[6095].end 33349.08096875
transcript.pyannote[6096].speaker SPEAKER_39
transcript.pyannote[6096].start 33349.08096875
transcript.pyannote[6096].end 33352.15221875
transcript.pyannote[6097].speaker SPEAKER_29
transcript.pyannote[6097].start 33349.09784375
transcript.pyannote[6097].end 33349.48596875
transcript.pyannote[6098].speaker SPEAKER_39
transcript.pyannote[6098].start 33352.97909375
transcript.pyannote[6098].end 33353.24909375
transcript.pyannote[6099].speaker SPEAKER_39
transcript.pyannote[6099].start 33353.56971875
transcript.pyannote[6099].end 33357.11346875
transcript.pyannote[6100].speaker SPEAKER_39
transcript.pyannote[6100].start 33357.70409375
transcript.pyannote[6100].end 33358.37909375
transcript.pyannote[6101].speaker SPEAKER_39
transcript.pyannote[6101].start 33358.63221875
transcript.pyannote[6101].end 33359.13846875
transcript.pyannote[6102].speaker SPEAKER_39
transcript.pyannote[6102].start 33359.22284375
transcript.pyannote[6102].end 33361.23096875
transcript.pyannote[6103].speaker SPEAKER_39
transcript.pyannote[6103].start 33362.29409375
transcript.pyannote[6103].end 33363.74534375
transcript.pyannote[6104].speaker SPEAKER_39
transcript.pyannote[6104].start 33364.89284375
transcript.pyannote[6104].end 33365.58471875
transcript.pyannote[6105].speaker SPEAKER_39
transcript.pyannote[6105].start 33365.93909375
transcript.pyannote[6105].end 33369.76971875
transcript.pyannote[6106].speaker SPEAKER_39
transcript.pyannote[6106].start 33369.80346875
transcript.pyannote[6106].end 33371.28846875
transcript.pyannote[6107].speaker SPEAKER_39
transcript.pyannote[6107].start 33371.74409375
transcript.pyannote[6107].end 33373.38096875
transcript.pyannote[6108].speaker SPEAKER_39
transcript.pyannote[6108].start 33373.85346875
transcript.pyannote[6108].end 33377.29596875
transcript.pyannote[6109].speaker SPEAKER_39
transcript.pyannote[6109].start 33377.59971875
transcript.pyannote[6109].end 33380.02971875
transcript.pyannote[6110].speaker SPEAKER_39
transcript.pyannote[6110].start 33380.90721875
transcript.pyannote[6110].end 33381.80159375
transcript.pyannote[6111].speaker SPEAKER_39
transcript.pyannote[6111].start 33382.30784375
transcript.pyannote[6111].end 33382.79721875
transcript.pyannote[6112].speaker SPEAKER_39
transcript.pyannote[6112].start 33383.08409375
transcript.pyannote[6112].end 33383.77596875
transcript.pyannote[6113].speaker SPEAKER_39
transcript.pyannote[6113].start 33384.88971875
transcript.pyannote[6113].end 33386.15534375
transcript.pyannote[6114].speaker SPEAKER_39
transcript.pyannote[6114].start 33386.42534375
transcript.pyannote[6114].end 33387.04971875
transcript.pyannote[6115].speaker SPEAKER_39
transcript.pyannote[6115].start 33387.15096875
transcript.pyannote[6115].end 33387.91034375
transcript.pyannote[6116].speaker SPEAKER_39
transcript.pyannote[6116].start 33388.82159375
transcript.pyannote[6116].end 33389.80034375
transcript.pyannote[6117].speaker SPEAKER_39
transcript.pyannote[6117].start 33390.23909375
transcript.pyannote[6117].end 33391.69034375
transcript.pyannote[6118].speaker SPEAKER_39
transcript.pyannote[6118].start 33393.19221875
transcript.pyannote[6118].end 33393.71534375
transcript.pyannote[6119].speaker SPEAKER_39
transcript.pyannote[6119].start 33393.98534375
transcript.pyannote[6119].end 33395.01471875
transcript.pyannote[6120].speaker SPEAKER_39
transcript.pyannote[6120].start 33395.23409375
transcript.pyannote[6120].end 33396.33096875
transcript.pyannote[6121].speaker SPEAKER_39
transcript.pyannote[6121].start 33398.55846875
transcript.pyannote[6121].end 33399.21659375
transcript.pyannote[6122].speaker SPEAKER_39
transcript.pyannote[6122].start 33400.90409375
transcript.pyannote[6122].end 33401.66346875
transcript.pyannote[6123].speaker SPEAKER_39
transcript.pyannote[6123].start 33402.54096875
transcript.pyannote[6123].end 33403.36784375
transcript.pyannote[6124].speaker SPEAKER_10
transcript.pyannote[6124].start 33405.78096875
transcript.pyannote[6124].end 33408.00846875
transcript.pyannote[6125].speaker SPEAKER_10
transcript.pyannote[6125].start 33408.26159375
transcript.pyannote[6125].end 33412.04159375
transcript.pyannote[6126].speaker SPEAKER_10
transcript.pyannote[6126].start 33412.27784375
transcript.pyannote[6126].end 33413.59409375
transcript.pyannote[6127].speaker SPEAKER_10
transcript.pyannote[6127].start 33413.89784375
transcript.pyannote[6127].end 33415.06221875
transcript.pyannote[6128].speaker SPEAKER_10
transcript.pyannote[6128].start 33415.24784375
transcript.pyannote[6128].end 33416.61471875
transcript.pyannote[6129].speaker SPEAKER_10
transcript.pyannote[6129].start 33417.34034375
transcript.pyannote[6129].end 33421.30596875
transcript.pyannote[6130].speaker SPEAKER_10
transcript.pyannote[6130].start 33421.50846875
transcript.pyannote[6130].end 33424.12409375
transcript.pyannote[6131].speaker SPEAKER_10
transcript.pyannote[6131].start 33424.24221875
transcript.pyannote[6131].end 33428.86596875
transcript.pyannote[6132].speaker SPEAKER_39
transcript.pyannote[6132].start 33428.86596875
transcript.pyannote[6132].end 33440.98221875
transcript.pyannote[6133].speaker SPEAKER_39
transcript.pyannote[6133].start 33441.15096875
transcript.pyannote[6133].end 33441.97784375
transcript.pyannote[6134].speaker SPEAKER_39
transcript.pyannote[6134].start 33442.60221875
transcript.pyannote[6134].end 33443.24346875
transcript.pyannote[6135].speaker SPEAKER_39
transcript.pyannote[6135].start 33443.69909375
transcript.pyannote[6135].end 33445.20096875
transcript.pyannote[6136].speaker SPEAKER_39
transcript.pyannote[6136].start 33445.60596875
transcript.pyannote[6136].end 33447.09096875
transcript.pyannote[6137].speaker SPEAKER_39
transcript.pyannote[6137].start 33447.58034375
transcript.pyannote[6137].end 33449.57159375
transcript.pyannote[6138].speaker SPEAKER_10
transcript.pyannote[6138].start 33447.96846875
transcript.pyannote[6138].end 33452.05221875
transcript.pyannote[6139].speaker SPEAKER_41
transcript.pyannote[6139].start 33451.05659375
transcript.pyannote[6139].end 33451.19159375
transcript.pyannote[6140].speaker SPEAKER_41
transcript.pyannote[6140].start 33451.73159375
transcript.pyannote[6140].end 33457.46909375
transcript.pyannote[6141].speaker SPEAKER_39
transcript.pyannote[6141].start 33457.46909375
transcript.pyannote[6141].end 33458.86971875
transcript.pyannote[6142].speaker SPEAKER_39
transcript.pyannote[6142].start 33458.97096875
transcript.pyannote[6142].end 33459.00471875
transcript.pyannote[6143].speaker SPEAKER_39
transcript.pyannote[6143].start 33459.19034375
transcript.pyannote[6143].end 33461.83971875
transcript.pyannote[6144].speaker SPEAKER_39
transcript.pyannote[6144].start 33462.05909375
transcript.pyannote[6144].end 33463.39221875
transcript.pyannote[6145].speaker SPEAKER_37
transcript.pyannote[6145].start 33473.28096875
transcript.pyannote[6145].end 33477.83721875
transcript.pyannote[6146].speaker SPEAKER_37
transcript.pyannote[6146].start 33480.36846875
transcript.pyannote[6146].end 33484.72221875
transcript.pyannote[6147].speaker SPEAKER_37
transcript.pyannote[6147].start 33485.14409375
transcript.pyannote[6147].end 33489.24471875
transcript.pyannote[6148].speaker SPEAKER_37
transcript.pyannote[6148].start 33490.17284375
transcript.pyannote[6148].end 33493.14284375
transcript.pyannote[6149].speaker SPEAKER_37
transcript.pyannote[6149].start 33493.46346875
transcript.pyannote[6149].end 33494.89784375
transcript.pyannote[6150].speaker SPEAKER_37
transcript.pyannote[6150].start 33495.18471875
transcript.pyannote[6150].end 33495.48846875
transcript.pyannote[6151].speaker SPEAKER_37
transcript.pyannote[6151].start 33496.14659375
transcript.pyannote[6151].end 33499.74096875
transcript.pyannote[6152].speaker SPEAKER_37
transcript.pyannote[6152].start 33500.23034375
transcript.pyannote[6152].end 33504.65159375
transcript.pyannote[6153].speaker SPEAKER_37
transcript.pyannote[6153].start 33505.30971875
transcript.pyannote[6153].end 33508.81971875
transcript.pyannote[6154].speaker SPEAKER_37
transcript.pyannote[6154].start 33509.37659375
transcript.pyannote[6154].end 33511.14846875
transcript.pyannote[6155].speaker SPEAKER_37
transcript.pyannote[6155].start 33511.38471875
transcript.pyannote[6155].end 33513.79784375
transcript.pyannote[6156].speaker SPEAKER_37
transcript.pyannote[6156].start 33513.96659375
transcript.pyannote[6156].end 33514.91159375
transcript.pyannote[6157].speaker SPEAKER_37
transcript.pyannote[6157].start 33515.31659375
transcript.pyannote[6157].end 33520.26096875
transcript.pyannote[6158].speaker SPEAKER_37
transcript.pyannote[6158].start 33521.89784375
transcript.pyannote[6158].end 33525.25596875
transcript.pyannote[6159].speaker SPEAKER_37
transcript.pyannote[6159].start 33525.57659375
transcript.pyannote[6159].end 33531.75284375
transcript.pyannote[6160].speaker SPEAKER_37
transcript.pyannote[6160].start 33532.07346875
transcript.pyannote[6160].end 33537.32159375
transcript.pyannote[6161].speaker SPEAKER_37
transcript.pyannote[6161].start 33537.86159375
transcript.pyannote[6161].end 33543.53159375
transcript.pyannote[6162].speaker SPEAKER_37
transcript.pyannote[6162].start 33544.02096875
transcript.pyannote[6162].end 33544.83096875
transcript.pyannote[6163].speaker SPEAKER_37
transcript.pyannote[6163].start 33544.91534375
transcript.pyannote[6163].end 33546.38346875
transcript.pyannote[6164].speaker SPEAKER_37
transcript.pyannote[6164].start 33547.05846875
transcript.pyannote[6164].end 33549.58971875
transcript.pyannote[6165].speaker SPEAKER_37
transcript.pyannote[6165].start 33550.04534375
transcript.pyannote[6165].end 33553.87596875
transcript.pyannote[6166].speaker SPEAKER_37
transcript.pyannote[6166].start 33554.53409375
transcript.pyannote[6166].end 33558.70221875
transcript.pyannote[6167].speaker SPEAKER_37
transcript.pyannote[6167].start 33558.80346875
transcript.pyannote[6167].end 33564.28784375
transcript.pyannote[6168].speaker SPEAKER_37
transcript.pyannote[6168].start 33564.65909375
transcript.pyannote[6168].end 33570.71721875
transcript.pyannote[6169].speaker SPEAKER_37
transcript.pyannote[6169].start 33570.98721875
transcript.pyannote[6169].end 33575.84721875
transcript.pyannote[6170].speaker SPEAKER_37
transcript.pyannote[6170].start 33576.38721875
transcript.pyannote[6170].end 33577.36596875
transcript.pyannote[6171].speaker SPEAKER_37
transcript.pyannote[6171].start 33578.22659375
transcript.pyannote[6171].end 33581.26409375
transcript.pyannote[6172].speaker SPEAKER_37
transcript.pyannote[6172].start 33581.50034375
transcript.pyannote[6172].end 33583.96409375
transcript.whisperx[0].start 1836.516
transcript.whisperx[0].end 1859.355
transcript.whisperx[0].text 好 報告委員會現在我們繼續開會李燕秀委員發表聲明對上週五的表決與國民黨團意見一致我們列入公報記錄報告委員會現在我們進行行政院院長提出丹納斯颱風及728豪雨災後復原重建專案報告並被質詢我們歡迎卓院長以及所有被詢的官員首先請行政院卓院長提出報告
transcript.whisperx[1].start 1869.122
transcript.whisperx[1].end 1889.536
transcript.whisperx[1].text 韓院長 江副院長 各位委員先進國人跟國會都非常關心戴納斯颱風以及其後728豪雨造成的國家人民各項的災損所以今天特別安排行政院前來做詳細的專案報告
transcript.whisperx[2].start 1892.381
transcript.whisperx[2].end 1913.2
transcript.whisperx[2].text 今年的7月6號丹納斯颱風挾著強風 豪雨 侵襲南台灣帶來17級的陣風也下了等於是過去莫拉克颱風等級的豪雨甚至超過高雄茂林地區山區的雨量
transcript.whisperx[3].start 1914.264
transcript.whisperx[3].end 1927.669
transcript.whisperx[3].text 中雨量超過3000毫米這是非常多的下雨量也等於是台灣一整年平均的雨量這個颱風跟728的豪雨造成的污損達到4萬3000多戶電線桿的毀損也有3500隻
transcript.whisperx[4].start 1937.006
transcript.whisperx[4].end 1950.851
transcript.whisperx[4].text 電力 通訊 農業水利設施 道路 交通都受到空前的一個破壞對民生及生活各種條件都造成相當大的衝擊這個期間 中央應變中心
transcript.whisperx[5].start 1955.92
transcript.whisperx[5].end 1979.639
transcript.whisperx[5].text 隨著成績而開設總統以及我本人也數次到達應變中心那我在這期間當中七月份到八月初一共到災區八次看到的真的是所有的災區民眾生活上非常的不方便財產的損失非常的大無論是居家 無論是他的產業無論是餘溫 無論是農產
transcript.whisperx[6].start 1983.208
transcript.whisperx[6].end 1992.151
transcript.whisperx[6].text 所以我們親自到嘉義台南高雄屏東彰化雲林高雄等地都進行了限地的瞭解
transcript.whisperx[7].start 1993.666
transcript.whisperx[7].end 2019.911
transcript.whisperx[7].text 所以我在第一時間我們就合定了丹納斯颱風災害協助的救助的專案事項包括它的復原衛助金依照房屋受損面積的不同給予5萬至10萬不等的復原衛助金而且也為了讓工班能夠迅速的經過媒合去修繕
transcript.whisperx[8].start 2022.65
transcript.whisperx[8].end 2034.408
transcript.whisperx[8].text 也定定的上工津貼一萬五到三萬不等同時也希望災區民眾跟營造的單位能夠加速的媒合也
transcript.whisperx[9].start 2035.714
transcript.whisperx[9].end 2061.665
transcript.whisperx[9].text 采用了媒合的奖励金原来到8月17以前希望大家尽快的媒合 尽快的签约 尽快的施工因为实在是数量非常的庞大现在主管工程会也提出希望把8月17的奖励金的期限延长到8月底我想这个也是基于事实之所需要然后我们又提出了丹娜斯台风以及728豪雨
transcript.whisperx[10].start 2063.537
transcript.whisperx[10].end 2077.955
transcript.whisperx[10].text 災後復原重建的特別條例目前這個條例經過行政院院會正送請大院在審議之中我也非常感謝韓院長跟大院委員幾乎是用最快的速度進覆二讀
transcript.whisperx[11].start 2078.616
transcript.whisperx[11].end 2101.388
transcript.whisperx[11].text 我也期待能夠用最快的速度我們予以通過之後行政院將具以編訂特別預算將所受到的傷害能夠用更及時的方式來加以修復能夠加以回復他的生活秩序那麼在丹拉斯颱風期間由內政部長劉時芳擔任中央應變中心指揮官他開了19次的工作會議
transcript.whisperx[12].start 2102.649
transcript.whisperx[12].end 2117.282
transcript.whisperx[12].text 7月8日的豪雨由經濟部郭智慧部長擔任指揮官他開了26次的工作會議每次的會議集結所有進駐單位詳細報告也提出方式最後做總結
transcript.whisperx[13].start 2118.721
transcript.whisperx[13].end 2135.592
transcript.whisperx[13].text 其中有數次總統跟我本人都到現場也一一感謝所有的在進駐的單位的人同時我們也數次跟受災地區的縣市首長進行視訊了解狀況期待能夠更進一步掌握情況提出解決的方式
transcript.whisperx[14].start 2136.858
transcript.whisperx[14].end 2148.378
transcript.whisperx[14].text 烏納丹奈斯颱風的災情確實非常的大他已經到7月18日我們統計總共有兩位國人喪失了生命708位受傷而且有
transcript.whisperx[15].start 2149.668
transcript.whisperx[15].end 2160.712
transcript.whisperx[15].text 淹水地區有210處國道與省道的災情有27處維生系統方面停水有7萬戶停電高達100萬戶基地台受損1322座市化停化12000戶農產的民間設施的損失高達32億元
transcript.whisperx[16].start 2175.183
transcript.whisperx[16].end 2199.459
transcript.whisperx[16].text 這都是非常高的目前已經一一在處理當中至於728豪雨的部分也造成了五位國人失去的生命五人失蹤 101人受傷三人失蹤 對不起 101人受傷淹水地區達到789處道路受損 有13條路線13段受到阻隔停水8712戶
transcript.whisperx[17].start 2202.506
transcript.whisperx[17].end 2229.324
transcript.whisperx[17].text 停電有57,655戶基地台受損高達69座市化停化也有904戶農損及民間設施的損失有3.8億雖然兩次颱風造成的損害不同但是因為它是連續性的複合型的所以等於是在第一次颱風之後再加上好雨而且是整整的一個月都讓中南部的國人
transcript.whisperx[18].start 2231.058
transcript.whisperx[18].end 2255.54
transcript.whisperx[18].text 身处在这样的环境底下我们对所有国人包括他失去了生命的家属受伤还有所有的财政的损失生活的不便我们都表达非常高的关心甚至我们表达非常多的歉意在任何的公共设施不足的情况底下让国人生活上蒙受这样的一个辛苦我们唯有往后继续来加强维护起来
transcript.whisperx[19].start 2256.977
transcript.whisperx[19].end 2277.73
transcript.whisperx[19].text 也因為看到這個複合性連續性的自災是相當的時間長程度嚴重因此我們在丹納斯颱風之後緊急的就剛剛說的未復原的未住金善工獎勵金跟媒合獎勵金之外我們盡量引進工班幫
transcript.whisperx[20].start 2279.731
transcript.whisperx[20].end 2296.46
transcript.whisperx[20].text 數萬戶的國人修繕他的房子但是因為工人人數實在有限而且物料緊急的集合也實在是短時間內很難一次完成但是經過我們的工程會各單位還是極力的來協助地方完成這個事情
transcript.whisperx[21].start 2297.02
transcript.whisperx[21].end 2324.822
transcript.whisperx[21].text 但是进行到一段程度之后又加上7月8的豪雨自灾因此我们认为有需要就在当地就已经发生的台风风灾以及7月8的豪雨成立一个前进指挥所因此在7月30号就正式的成立了云加南地区灾后复原的前进指挥所由工程会的陈金德主委担任指挥官由副主委以及我们的行政院顾问来担任副指挥官
transcript.whisperx[22].start 2325.871
transcript.whisperx[22].end 2352.744
transcript.whisperx[22].text 而很欣慰的他們在短時間內幾天內就發揮了相當大的效率不僅全國的營造業的工會全新的希望投入我們也把所有的政府部門部會裡面有關於工程在進行的各單位下去認養台南的17個行政區由每一個行政區的認養來加速推動那麼這個工作已經持續在進行這個就是我們所謂的技術資源團隊到
transcript.whisperx[23].start 2355.194
transcript.whisperx[23].end 2364.246
transcript.whisperx[23].text 7月30到8月11號為止我們有214個廠商願意投入這樣的一個資源工作同時我們已經有2036戶的
transcript.whisperx[24].start 2370.009
transcript.whisperx[24].end 2390.789
transcript.whisperx[24].text 受災國人他能夠登記要媒合營造業各個單位來將幫他修葬房屋的這個意願已經有2036戶同時有1917戶已經在安排媒合當中目前簽約的有200多戶施工中的有40幾戶已完工的也有36戶
transcript.whisperx[25].start 2392.39
transcript.whisperx[25].end 2417.595
transcript.whisperx[25].text 或許這個數字還是很少但是知道在那個惡劣的環境底下一邊施工一邊還在下大雨是非常難的同時我也要感謝包括各地方的包括台南的志工行善團以及民間的慈濟單位比如慈濟的師兄師姊們在第一時間也進到現場提供熱食幫助修繕房屋我們看到的是一個非常感動的景象
transcript.whisperx[26].start 2419.482
transcript.whisperx[26].end 2425.372
transcript.whisperx[26].text 那服務員的前進指揮所也成立了七個工作分組分別派員進駐 協助各個
transcript.whisperx[27].start 2428.11
transcript.whisperx[27].end 2449.983
transcript.whisperx[27].text 問題的推動跟解決那重要的事項有包括赴任陽剛剛說的任陽各鄉鎮市區媒合廠商來協助民宅的修繕還有能夠穩定這個屋頂修繕的材料跟它施工費用的價格這個是很重要的還是有一些
transcript.whisperx[28].start 2451.178
transcript.whisperx[28].end 2477.443
transcript.whisperx[28].text 原物料在波動當中那前進指揮所也用大量採購集體採購的方式來穩定這些材料跟施工費用的價格同時獎勵民眾在短的時間內能夠簽約來修繕同時我們對於這個石棉瓦也進行了未來會在特別條例當中進行相關重要的補助希望能夠免除它大家認為有環境污染上的這個恐懼跟憂慮
transcript.whisperx[29].start 2479.283
transcript.whisperx[29].end 2508.182
transcript.whisperx[29].text 另外对于畜牧业也希望在最短的时间内能够来协助他让他完成他的产业的恢复协助民众早日恢复家园除了各项的机关团点之外我们对民众的生活辅助我们的第一时间也包括租屋的补助包括淹水的救助住宅修缮以及农业救助等等也都提出了第一时间的比过去更多而且是更有实质内容帮助的一些新的措施
transcript.whisperx[30].start 2511.069
transcript.whisperx[30].end 2522.959
transcript.whisperx[30].text 我們甚至要求已經毀損的房屋能夠拆除那不論你是什麼樣的身份只要你願意在九月底能夠拆除拆除的費用由政府一律來吸收
transcript.whisperx[31].start 2523.891
transcript.whisperx[31].end 2544.688
transcript.whisperx[31].text 那對於修繕的費用我們也對於低收入中低收入戶以及一些生活上的經濟弱勢者中央不僅自己願意來投入全額的來負擔也有很多民間的營造廠商他們是自動自發的免費為中低及低收入戶的這些受災民眾來免費修繕
transcript.whisperx[32].start 2547.03
transcript.whisperx[32].end 2571.67
transcript.whisperx[32].text 這個我們表示非常大的感謝那這次丹納斯颱風的路徑非常的詭異甚至是百年來很難走這樣的路徑下來強風豪雨從西部登陸直接北上沒有經過中央山脈的阻隔因為因此台灣所受到的電力跟通訊系統造成了非常嚴重的損失我們也知道這個造成大家生活的不便
transcript.whisperx[33].start 2572.29
transcript.whisperx[33].end 2597.223
transcript.whisperx[33].text 我們也去到現場邀集三大電信業者希望他們能夠不僅自己趕快修復也採取相互之間能夠減輕費用之間的漫遊來增加之間的聯繫讓國人能夠在最短的時間內維護恢復最起碼的通訊的必要這個也都在做但是每個電線每個基地台架設很高的基地台高達30公尺
transcript.whisperx[34].start 2598.91
transcript.whisperx[34].end 2621.623
transcript.whisperx[34].text 毀壞之後臨時基地台高度不夠高角度不能夠完成的調整造成基地台臨時性回復之後很多的通訊還是在那種不能夠穩定的接收的狀況底下這個也是在技術上目前予以突破的未來我們要從事更多的安全韌性比方從微波從衛星方面以及行動
transcript.whisperx[35].start 2623.157
transcript.whisperx[35].end 2640.869
transcript.whisperx[35].text 行動車 行動機械車輛以及移動式的發電機等等更多樣的來充裕各方的設備希望災害不要來一旦再來我們有更充裕的更多的設備不僅三大業者要準備政府機關也要充分的來處理這些事情
transcript.whisperx[36].start 2641.97
transcript.whisperx[36].end 2669.579
transcript.whisperx[36].text 本院所擬定的復原重建特別條例剛剛說過拜託大院能夠儘速的能夠審議這其中我們從農業我們從電力跟電信系統我們從自來水從家園的恢復以及到水利設施從道路交通環境整理以及到社會跟產業的支持等等我們都做了相當深入的研析希望能夠有足夠的力量來撐住
transcript.whisperx[37].start 2671.8
transcript.whisperx[37].end 2686.753
transcript.whisperx[37].text 災區受損民眾的各項條件至於何謂災區在條例的第二條草案第二條明顯寫到受創地區的範圍是要由行政院來公告所以我們也請主管機關工程會能夠來實際上了解
transcript.whisperx[38].start 2687.851
transcript.whisperx[38].end 2712.341
transcript.whisperx[38].text 所有台灣各地區有實際上自災的地區都能夠用比較寬鬆的方式來認定將它納入到災區 納入災區之後未來就可以適用到特別條例特別預算當中對所有各面向的支持行政院未來將整合中央地方跟民間的力量全力的來完成災後的重建
transcript.whisperx[39].start 2713.786
transcript.whisperx[39].end 2730.911
transcript.whisperx[39].text 但是我相信面對這種極端氣候我們準備的速度再怎麼快都很難百分之百的掌握那這一次在大家共同的關心底下我也承認我們面對這樣強風好雨我們的韌性不足
transcript.whisperx[40].start 2732.093
transcript.whisperx[40].end 2760.898
transcript.whisperx[40].text 我們面對這樣的電力電訊的破壞情況底下我們修復的速度不足我們面對這種複合性連續性的災害底下我們去媒合整合的能力不足所以未來我們用更強韌的力量來面對用更快速的速度來回應來面對用更廣泛的支持力道來面對這行政院在這次累積之後我認為我應該對內要求做到這個
transcript.whisperx[41].start 2762.13
transcript.whisperx[41].end 2778.874
transcript.whisperx[41].text 就是用更強韌來面對各種災害用更廣泛的支持力道來面對各種災害以及用更快速的回應速度來面對各種災害我希望上天給我們這個考題我們跟國人共同來累積經驗而且
transcript.whisperx[42].start 2781.189
transcript.whisperx[42].end 2796.066
transcript.whisperx[42].text 很榮幸得到國會的支持跟策進在我們各項在速度各方面不及的地方很多的委員跟地方的議員都給我們很多很多的意見事實來導正各種的速度跟方向
transcript.whisperx[43].start 2796.787
transcript.whisperx[43].end 2813.347
transcript.whisperx[43].text 所以我認為未來行政院要做更安全的準備我們願意承擔未來的責任我們也願意為這一次所有的不足向國人表示最大的歉意但這個不是在口頭上我們願意用未來的行動來具體的回落
transcript.whisperx[44].start 2815.189
transcript.whisperx[44].end 2837.443
transcript.whisperx[44].text 國人跟所有社會關心的人士讓行政院能夠通過大院的特別條例制定特別預算之後我們更嚴謹有效率的執行來加速災區的恢復工作這是我現在心中最大的願望謝謝各位 謝謝好 非常感謝卓院長的報告
transcript.whisperx[45].start 2838.875
transcript.whisperx[45].end 2858.201
transcript.whisperx[45].text 現在我們進行委員諮詢每位委員詢答時間不超過15分鐘輪到諮詢的委員如果不在場我們視為棄權首先我們請鍾嘉斌委員諮詢傅坤祺委員請準備
transcript.whisperx[46].start 2872.483
transcript.whisperx[46].end 2892.342
transcript.whisperx[46].text 主席在場委員先進列席的政府機關上官員會長工作夥伴媒體接任女士先生有請我們卓院長以及農業部陳部長經濟部郭部長後面可能會包括了我們的交通部還有我們的財政部請準備麻煩請卓院長農業部經濟部備詢
transcript.whisperx[47].start 2906.569
transcript.whisperx[47].end 2933.232
transcript.whisperx[47].text 總務員好院長好兩位部長好請問院長您覺得這一次的颱風加好雨相較於2008年的莫拉克的風災的災害程度哪一個比較嚴重就降雨量而言尤其在許多的山區高雄山區降雨量都超過了莫拉克颱風的等級而且帶來的17級的強風也不可小覷而且災害時期也比較長
transcript.whisperx[48].start 2934.502
transcript.whisperx[48].end 2947.675
transcript.whisperx[48].text 更重要的是莫拉克是發生在幾天當中這個是集中風加上豪雨連續幾乎一整個月都曾經在這種風雨狀態之中那您知道嗎當年莫拉克風災在8月8號發生之後政府
transcript.whisperx[49].start 2948.157
transcript.whisperx[49].end 2964.363
transcript.whisperx[49].text 在不到20天內就通過了一個災後重建特別條例速度可謂相當的快但是現在距離7月的颱風到現在我們行政院才送來災後重建的特別條例您覺得速度上可以符合災民或社會的期望嗎
transcript.whisperx[50].start 2965.836
transcript.whisperx[50].end 2992.371
transcript.whisperx[50].text 是因為原來莫拉克颱風的風力跟雨勢是非常的強但是局限在幾個縣市我們認為由中央地方來合作中央應變中心來指揮調度應該可以面對那樣的一個狀況但是後來看到是污損特別的嚴重再加上修復過程當中雨還是不斷的下雖然到728是好雨但過程施工上是困難的所以我們到728之後才認為說
transcript.whisperx[51].start 2993.925
transcript.whisperx[51].end 3014.038
transcript.whisperx[51].text 成立一個前進指揮所而且馬上通過一個特別條例這個在時間上考慮我想我們會深刻的檢討我想站在災區災民的心聲救災是慢了點救災要快但是重建要穩當年的莫拉克風災救災很快但是重建的過程
transcript.whisperx[52].start 3014.69
transcript.whisperx[52].end 3042.679
transcript.whisperx[52].text 因為要切中需求以致於我們發現了一些後遺症我們希望這一次救災已經在亡羊補牢了但我們希望重建的特別條例能夠針對我們災區重建的需要來落實進行好不好好的 謝謝我們來看一下這次的0728的豪雨全台農損2.6億 貧農相當多我想在這之後我們馬上就提出對農業部希望對於天然災救助以及農業保險的賠付
transcript.whisperx[53].start 3044.259
transcript.whisperx[53].end 3061.646
transcript.whisperx[53].text 還有對農民的設施的損害進行補助是不是這樣那請問部長我們過去這些溫網式的補助平常是政府可以補助幾成我跟委員說明平常的時候我們對溫網式補助是五成那現在遇到特別情況呢
transcript.whisperx[54].start 3062.366
transcript.whisperx[54].end 3090.628
transcript.whisperx[54].text 我們現在已經拉到80%很好那麼強固型的溫網最高不超過980萬我跟院長報告一下其實溫網這種設施農業是農業不支持也是未來的趨勢使用設施農業我們可以少用農藥少用肥料而且比較能夠抗後性但是再強的設施遇到極大的風力還是會受損舉例來講一個青龍他回去耕作一甲地的強固型溫網他的設施要2000萬
transcript.whisperx[55].start 3092.136
transcript.whisperx[55].end 3107.777
transcript.whisperx[55].text 政府很幫忙給他補助五成補助一千萬他自己要去背一千萬的貸款結果這次損失了現在政府很慷慨說好那這次你重建我補助你八成他是不是還要負擔四成的貸款對不對
transcript.whisperx[56].start 3108.971
transcript.whisperx[56].end 3138.069
transcript.whisperx[56].text 還要負責嘛他前面的一千萬還沒有還後面還要再去舉債四百萬縱使政府補助他八成補助他一千六百萬他是不是很吃力部長你覺得我跟委員報告在這次的災害裡面一般我們過去都是用救助金去處理那這次比較特別的是救助金一定是不夠的所以我們用專案補助到八成那專案補助的經費下去不夠的時候我們用貸款的方式來協助對 部長你沒有回答我的問題我就講過了
transcript.whisperx[57].start 3138.969
transcript.whisperx[57].end 3160.095
transcript.whisperx[57].text 過去我對農業部多事之心像這樣的設施農業的投資很大超過一般農民能復課他可能要拿土地去抵押但是我們政府的補助再多他還是要去借款那連續的自災他沒有辦法能力去負擔所以我們希望說是不是不要用貸款的 用什麼用租的我舉例
transcript.whisperx[58].start 3162.455
transcript.whisperx[58].end 3178.759
transcript.whisperx[58].text 部長跟院長你聽一下 尤其是郭部長企業家兩千萬啦你叫我這個台四百萬 我前陣子一千萬沒行清你就算政府要幫忙 我也憂寒啦但是我們政府補助的這一千八百萬一家庭我們一家庭租金一年要兩百萬
transcript.whisperx[59].start 3182.182
transcript.whisperx[59].end 3196.515
transcript.whisperx[59].text 你叫農民負擔一半 負擔一百你偶像這一千六百萬你要補助 你可以補助一十六年啊可以補助一十六年 實際上是補助四個人 四年所以說你要補助他的八成 你換作租金 補貼一半
transcript.whisperx[60].start 3197.936
transcript.whisperx[60].end 3212.09
transcript.whisperx[60].text 而且就文房社的人來說我是合資我要出租我當然希望說你如果要定期嘛如果你如果要租金政府幫你補租我就不會煩惱什麼你如果要去嘛所以文房社的合資他就願意說我來去來祝福農民院長你覺得怎麼樣
transcript.whisperx[61].start 3217.551
transcript.whisperx[61].end 3238.134
transcript.whisperx[61].text 我覺得凡是能夠減輕農運民的負擔在產業上支持農業部持續一直推出他也提到過如果上一季下一季這個生產不能順利兩季的所有的這個補貼也是會持續來加碼的像類似這個也是一樣的意義我想部長講的用租的方式認為是一個可行所以部長可不可以趕快示範
transcript.whisperx[62].start 3238.775
transcript.whisperx[62].end 3262.927
transcript.whisperx[62].text 尤其是農信寶已經開始找一個廠商一個地點已經開始投入了你要不要支持我跟委員講這樣的一個以租代購的這種方式我們農業部絕對支持這個時間點是一個非常重要的就是說因為現在所有的溫室業者都在搶修現在的業者所以我們用示範的方式我們找適當的地點去來主持先支持 謝謝接下來下一個問題就是說這次我們經濟部長在這裡
transcript.whisperx[63].start 3267.461
transcript.whisperx[63].end 3294.55
transcript.whisperx[63].text 這一次雲嘉南的風力特別的高17級我們是不是電感倒一堆 沒錯嘛那相較之下那個光電廠的受損是不是大致完整相較於電感 倒了要復電 要復修很難但是光電廠基本上是大致完整的那就產生一個現象風雨過去了啦 日頭出來了啦光電板可以發電啦 電線不出去啦
transcript.whisperx[64].start 3295.407
transcript.whisperx[64].end 3313.004
transcript.whisperx[64].text 但是因為電網還沒修理好誰嘛 我的氣溫啦 我的洞口沒電啦 為什麼 因為我是接台電的電電網沒修理好 外面的電送不進來所以我的水車不會碰 我的汽油汽油浮起來 冰凍 我洞口裡面的汽油都噴了
transcript.whisperx[65].start 3319.942
transcript.whisperx[65].end 3337.439
transcript.whisperx[65].text 你覺得這個部分我跟郭委員有提出來我們希望未來我們農業的附近的這些光電能夠來支援農業你支不支持這個在現場我們有聽到看到這樣的現象所以我們想到說是不是可以用比較除能的方式或者是
transcript.whisperx[66].start 3338.864
transcript.whisperx[66].end 3367.273
transcript.whisperx[66].text 發動機的方式 將這個電能夠送出來讓它形成一個微電網的設置讓它能夠就這個餘溫的業者能夠就近來取得這個電業這個還要做一些銜接的工作這個問題需要經濟部跟農業部公園解決我講給部長聽人家說 人家熟悉在說小伙子要吃氣我在賣瓷碗的 我用的碗是破的 為什麼好的碗要賣給客人破的碗我自己拿來吃飯小伙子吃氣
transcript.whisperx[67].start 3368.629
transcript.whisperx[67].end 3391.605
transcript.whisperx[67].text 同樣的道理我們的光電在農村的地區因為綠電比較值錢我做的電廠一定是賣給台電至於我自己餘溫使用的我自己冷凍庫使用的我一定接台電的電所以過去我們的電網的設計沒有這樣的雙向機制所以我們的表後供電我們的雙向開關我們的儲能設施都要趕快來進行柏定你有同意嗎
transcript.whisperx[68].start 3393.031
transcript.whisperx[68].end 3416.492
transcript.whisperx[68].text 報告委員我想這個部分都是我們現在極力在改進的部分所以剛才院長有指示就是我們看災看完了回來以後院長有指示就是在這個地區都要形成一個智慧電網也就是說利用光電的部分然後發電然後就屬於它那個地區裡面來做一些備用
transcript.whisperx[69].start 3418.934
transcript.whisperx[69].end 3437.219
transcript.whisperx[69].text 有需要的時候他就可以馬上直流切換到交通關鍵是要儲能但是要告訴陳部長增加供應的韌性因為這個光電跟電網要一個儲能來做轉接高價的電我賣掉低價的電我拿來用好 那我現在跟你講在養殖場域的示範效果我們來看一下現在的法令
transcript.whisperx[70].start 3438.781
transcript.whisperx[70].end 3459.913
transcript.whisperx[70].text 農業設施農業用地上農業設施容許使用沒有包括儲能也就是說我現在的光電地區我這邊有洞口我這裡有水車但是我沒有放儲能我可以放柴油放電機但是我沒有放儲能有沒有辦法趕快農業部趕快調整這些法規我跟委員報告現在的儲能設施在農業用地已經有容許使用在45平方公尺以下是可以放的
transcript.whisperx[71].start 3460.213
transcript.whisperx[71].end 3480.604
transcript.whisperx[71].text 然後我要跟委員報告的一個重點說您剛才講的這樣子利用儲能 利用發電機這些智慧微電網的部分一個非常重要的前端的一個集團養殖所以我們現在也在啟動這樣的一個集團養殖的一個方式來搭配後面的儲能的供電系統好 謝謝陳部長接下來我請邱部長上來 衛福部經濟部長繼續 來
transcript.whisperx[72].start 3483.886
transcript.whisperx[72].end 3484.207
transcript.whisperx[72].text 那下一個呢
transcript.whisperx[73].start 3502.66
transcript.whisperx[73].end 3531.388
transcript.whisperx[73].text 這次衛務部有個示範計畫我很肯定他們在花蓮的鳳林這些地方他們用無人機在那些孤島消音交通專案的一些原住民地區他送藥過去但是這不是常態可是為了這個事情你要先把無人機的相關的法規處理好所以我這裡也要再請陳士凱部長要上來來處理國務長可以請回就是說像這樣的無人機送藥那個何部長後來有沒有派上用場花蓮有沒有這種無人機送藥
transcript.whisperx[74].start 3532.793
transcript.whisperx[74].end 3554.856
transcript.whisperx[74].text 花蓮啊沒有 最次的災後因為沒有需求所以沒有對 但是我們屏東的需要可是屏東不是事辦計畫他沒有辦法及時的去申請無人機的飛航這個計畫所以我要跟陳部長說目前我們銀行局訂的無人機的這些飛航計畫太繁文縛節不可能所以我要請衛福部未來的潛勢點先把它規劃好
transcript.whisperx[75].start 3556.052
transcript.whisperx[75].end 3580.075
transcript.whisperx[75].text 到時候一有需要馬上就可以派飛那我要請部長 院長指示部長未來我們無人機的這種送藥其實只要保公共意外責任險就好了公共意外責任險不用去搞到說還要底下的飛行路徑的地主同意柏中你知道我在說什麼是不是院長還指示他們把這個問題簡化在花蓮地區已經有事辦包括封兵
transcript.whisperx[76].start 3581.554
transcript.whisperx[76].end 3605.853
transcript.whisperx[76].text 豐兵跟秀琳對 秀琳秀琳跟豐兵兩個地區他有示範的點那既然有這樣點在試驗成功那應該迅速我要求你們兩部會合一下迅速在各個縣市都定點能夠有這樣的點出來他的一些責任保險的責任或是關於鑰匙法的責任就一律排除好 謝謝兩位部長請回我們接下來請我們台政部的部長莊部長時間暫停
transcript.whisperx[77].start 3620.984
transcript.whisperx[77].end 3645.823
transcript.whisperx[77].text 好 莊部長剛剛也跟您提問過了這是問關稅美國關稅很多台灣的出口業主要市場在美國但是我們台灣主要是來料加工因此我進口原料的時候要對台灣政府繳關稅而且我出口到美國的時候理論上我可以退但是大部分的業者未達金額或者手續繁瑣所以很多出口業者他並沒有把他進口原料的關稅要求政府退回來
transcript.whisperx[78].start 3646.701
transcript.whisperx[78].end 3659.658
transcript.whisperx[78].text 院長你覺得如果這一次像這些出口產業者因為他的主要市場在美國過去他跟我們台灣政府繳的這些進口關稅他沒有退的我們可不可以這次還給他幫助他來度過對美關稅的衝擊
transcript.whisperx[79].start 3662.568
transcript.whisperx[79].end 3690.358
transcript.whisperx[79].text 關稅的衝擊現在我們還在談判當中我想委員問的不是個案或是針對關稅是通案那我是認為說我們對於關稅新關稅貿易的秩序調整之後我們要幫助產業來快速的適應整個新的世界的官貿秩序那至於您說的這個通案請部長來說我想委員這樣的一個建議我們可以來主動查一下看看有沒有他可以退的關稅而目前還沒有退這個部分
transcript.whisperx[80].start 3691.058
transcript.whisperx[80].end 3711.207
transcript.whisperx[80].text 這個部分我們來做然後程序上我們也讓他簡化我來跟大家講 院長部長您看一下其實目前我國出口產業如果以美國為主要市場我們外銷品的沖退原料稅以貨品為基準也就是說我現在出口去美國的這批貨物當時他在進口的原料哪些是有跟我們台灣這種繳過關稅的
transcript.whisperx[81].start 3713.17
transcript.whisperx[81].end 3732.231
transcript.whisperx[81].text 我可以退但是要付一定金額而且你要證明比例所以對很多出口業者來講如果是中小企或傳產他不像是大型的業者他可以做得很清楚所以很多的出口業者他買了原料跟台灣政府繳了關稅他要出口到美國的時候他沒有辦法跟政府申請退稅
transcript.whisperx[82].start 3733.393
transcript.whisperx[82].end 3751.912
transcript.whisperx[82].text 這跟我們去觀光客去國外買觀光品退稅的那我們往下看那是不是說我們現在呢這些業者可不可以我們在一定年期內請院長指示財政部跟經濟部請經濟部去調查這些以美國為主要出口的中小企業
transcript.whisperx[83].start 3752.873
transcript.whisperx[83].end 3766.869
transcript.whisperx[83].text 他過去三年過去五年或甚至過去十年他有這種來料加工他進口原料有繳了進口的關稅甚至營業稅營業稅是有退的但是關稅一定要按照這個程序退
transcript.whisperx[84].start 3767.93
transcript.whisperx[84].end 3791.871
transcript.whisperx[84].text 累積下來他也貢獻了不少稅收給我們政府他現在要出口去美國了他可能七成的出口市場在美國可是美國關稅提高他壓力很重他要自己吸收可不可以請政府把過去他這三年或五年或十年你們制定辦法把他交給政府沒有退的這些稅呢來給他幫助他杜曉月院長部長可以支持嗎
transcript.whisperx[85].start 3793.213
transcript.whisperx[85].end 3816.968
transcript.whisperx[85].text 謝謝委員 我們絕對支持不讓國人有重複繳稅增加產業負擔這不是重複繳稅 這個是要幫助他重複繳稅或增加這個稅務負擔的各項的措施那如果成立委員剛剛所提到的過去幾年都沒有照目前這個方式來退出的話我想法律上的依據如何協助業者來請求這個部分再請我們要請
transcript.whisperx[86].start 3818.43
transcript.whisperx[86].end 3841.9
transcript.whisperx[86].text 行政院積極主動 其實政府的稅收以後只要業者債 債收就有他們現在渡難關 我們要全力支持 好不好好 謝謝鍾嘉賓委員謝謝卓院長 各部會首長的備詢 謝謝我們現在接下來登記第二位傅坤祺委員請質詢林國成委員請準備
transcript.whisperx[87].start 3871.931
transcript.whisperx[87].end 3897.907
transcript.whisperx[87].text 主席請卓院長麻煩再請卓院長備詢副委員好卓院長早我想這次丹納斯颱風對台灣所造成這麼大的一個重創此時此刻我們不只要好好的來檢討
transcript.whisperx[88].start 3899.451
transcript.whisperx[88].end 3928.207
transcript.whisperx[88].text 更要為未來台灣多災多雨的多天然災害的地方我們要怎麼樣能夠重新打造一個標準的SOP是我們應該痛定思痛好好的來檢討對剛剛院長公開表達此次風災行政院整體的救災能力不足應變能力不足任性能力不足
transcript.whisperx[89].start 3929.667
transcript.whisperx[89].end 3957.136
transcript.whisperx[89].text 我想本席深表同意但是我們不是只表達不足以後我們應該深自來檢討所以我想在這裡我們今天希望我們大家一起能夠為台灣未來的這種天然災害能夠打造一個比較完整的一個應變的一個體制標準的作業程序在這裡首先要請教一下
transcript.whisperx[90].start 3960.334
transcript.whisperx[90].end 3982.413
transcript.whisperx[90].text 這個院長在您這份報告裡面有寫雖然北極今天早上才看到這份報告您在7月8號去了嘉義11號去了南投彰化15號去了台南7月25號去了台南嘉義7月29號去了雲嘉南院長視察但那時是從7月6號就開始
transcript.whisperx[91].start 3986.547
transcript.whisperx[91].end 4010.614
transcript.whisperx[91].text 可以說是百年來南台灣最嚴重的災情從7月6號登陸院長7月8號 11號7月15號 25號 29號去了五次災區院長是不是陳如寧報告上面寫的你去了五次災區是嗎我7月5號
transcript.whisperx[92].start 4011.869
transcript.whisperx[92].end 4040.259
transcript.whisperx[92].text 我記得7月5號剛海警發布的時候我去了彰化跟雲林好 因為您的報告或者是彰化跟南投我再記一下您的報告我沒有看錯7月5號那天是沒有因為那是海警發布的當天我見到了兩位縣長都拜託他們能夠跟中央緊密的聯繫災情發生之後是8號 11號我是按照您的報告拜託您報告之後建議您
transcript.whisperx[93].start 4041.724
transcript.whisperx[93].end 4068.493
transcript.whisperx[93].text 建議你啦這麼大的一個災情院長整個月只去五次照說你應該進駐在災區帶著行政院所有的官員都要進去這空前的災難我想在行政院開會那時候了備一格我再請教一下那個院長什麼時候成立
transcript.whisperx[94].start 4069.936
transcript.whisperx[94].end 4081.701
transcript.whisperx[94].text 這麼大災情的前進指揮所什麼時候7月30號在728之後什麼時候7月28之後7月30號成立7月30號是什麼樣的情況成立的因為728在
transcript.whisperx[95].start 4083.544
transcript.whisperx[95].end 4104.332
transcript.whisperx[95].text 但是颱風之後 持續救災 修復房屋但是過程還是持續下雨那728帶來的好雨又超乎我們原來預料之外所以我去到災區看到那樣的狀況是災上又加上一次的災害所以我當場就宣布請我們的工程會陳進德政委來主持成立天氣指揮所
transcript.whisperx[96].start 4108.277
transcript.whisperx[96].end 4116.168
transcript.whisperx[96].text 而依照行政院所發布的新聞是7月31日成立前進指揮所
transcript.whisperx[97].start 4118.137
transcript.whisperx[97].end 4147.589
transcript.whisperx[97].text 那今天你的報告有寫7月30號30號在現場宣布我去到縣市的時候現場應該是台南我現場宣布我們要成立指揮所那隔天他就馬上正式成立而且開會7月30號本席查證了一下資料因為新聞發布是7月31但你的報告上寫7月30本席了解了一下新聞之後是7月30號賴總統在中常會宣布
transcript.whisperx[98].start 4149.261
transcript.whisperx[98].end 4177.8
transcript.whisperx[98].text 要成立前進指揮所我是早上就宣布的這個院長啊應該儘早成立前進指揮所7月6號的災情不管是7月30還是31只會這麼大的災情發生以後在7月30或31號前進成立指揮所本席在這裡跟院長商量一下
transcript.whisperx[99].start 4179.349
transcript.whisperx[99].end 4202.475
transcript.whisperx[99].text 有這種這麼龐大的天然災害 疾民所及苦民所苦行政院所有的體系跟團隊 早就應該進駐災區颱風離開就要進去 而不是等到7月31日甚至在黨務工作指導之後才來成立
transcript.whisperx[100].start 4204.38
transcript.whisperx[100].end 4228.169
transcript.whisperx[100].text 我想因為崑崎在災區擔任行政首長長達九年所以跟院長來商量一下萬一我們國內我們很不樂見萬一再有這種天然災害我們第一時間就要疾民所急苦民所苦要把整個行政院的能量通通帶到災區去
transcript.whisperx[101].start 4229.994
transcript.whisperx[101].end 4244.343
transcript.whisperx[101].text 不能延宕了20幾天才成立的前進指揮所另外我再請院長看一下這個影片賴總統去視察災區的影片我比較好奇來看一下
transcript.whisperx[102].start 4249.411
transcript.whisperx[102].end 4249.451
transcript.whisperx[102].text 請問一下
transcript.whisperx[103].start 4278.991
transcript.whisperx[103].end 4303.956
transcript.whisperx[103].text 有這麼多的災民一萬八千戶嘉義跟台南的災民沒有屋頂一萬八千戶這種情況之下賴總統到災區去告訴災民希望說國軍能夠對屋頂搶修的部分能夠來支持這樣的一個搶救的能量
transcript.whisperx[104].start 4305.202
transcript.whisperx[104].end 4324.952
transcript.whisperx[104].text 但是我們很遺憾的看到賴總統說國軍沒有辦法做這樣的一個任務必須要由社區自己發揮力量不能什麼事都靠國軍請問一下這個訊息是院長你跟總統報告的嗎報告委員
transcript.whisperx[105].start 4327.021
transcript.whisperx[105].end 4342.243
transcript.whisperx[105].text 颱風成立的時候中央應變中心都會成立所以中央是有持續關懷這是第一個那剛剛總統在總統這個說法是院長告訴他的嗎沒有 總統這段講話是我們現在是希望地方都能夠成立自主的防災社區有這樣的前提
transcript.whisperx[106].start 4343.684
transcript.whisperx[106].end 4371.954
transcript.whisperx[106].text 國軍在當時是在演習但總統也講到需要的時候國軍還是會進去況且在美式災區的一開始我都先請示總統需要的時候能不能請國軍來做支援總統從來沒有任何的猶豫從來就第一次主動的指示國軍要全力搶救 協助搶救我們今天是在檢討基本上總統這個說法這個民眾可能很難接受那我們
transcript.whisperx[107].start 4373.103
transcript.whisperx[107].end 4400.469
transcript.whisperx[107].text 避免以後這樣的一個混淆從金國先生時代到現在我們的國軍將士救災視同作戰院長可不可以未來當國內發生災情的時候我們的國軍就應該全力的投入救災不要再有其他任何理由可不可以
transcript.whisperx[108].start 4401.38
transcript.whisperx[108].end 4426.398
transcript.whisperx[108].text 這是一個必然的一個狀況跟要求我到每個災區我都會向當地的指揮官表達最大的謝意所以未來整個國防部也要履行救災視同作戰可以嗎可以好我們在檢討以後不要再發生這樣的一個以總統的高度跟民眾啊災區的民眾有發生不愉快的情況接下來就是這個災後
transcript.whisperx[109].start 4429.665
transcript.whisperx[109].end 4456.8
transcript.whisperx[109].text 重建的重點項目本席在這裡針對今天你提出來的報告希望 院長你提出了十個重點的項目本席希望對於倉儲農舍還有農業機具人民所受的損失行政院能夠大力的協助第二
transcript.whisperx[110].start 4458.887
transcript.whisperx[110].end 4487.166
transcript.whisperx[110].text 這個住宅的修繕院長能夠拿出最大的能量好的第三個還有農業的補助等等這三項是在你的十項裡面本席希望這三項能夠建局理局能夠盡快的完成可以嗎尤其是民宅的修繕可以盡快的把它完成嗎民宅修繕因為第一個數量很大再來我們現在已經有各部會跟營造的廠商
transcript.whisperx[111].start 4488.181
transcript.whisperx[111].end 4513.269
transcript.whisperx[111].text 進行認養17個行政區那目前的速度已經開始上了這個軌道過去一段時間確實是比較慢因為沒有這樣的一個認養的工作謝謝陳金德主委在率領的前進指揮所院長就不要再提前進指揮所了已經慢了二十幾天了請不要再提這個事好不好本席向院長來說明了解一下
transcript.whisperx[112].start 4515.233
transcript.whisperx[112].end 4537.826
transcript.whisperx[112].text 本席在7月19號就提出了對南台灣的整體的災後重建的條例希望行政院能夠盡快提出並在7月29號本黨正式來提案並在7月31號本席召集朝野協商三黨一致同意 簽字通過並在8月8號
transcript.whisperx[113].start 4543.157
transcript.whisperx[113].end 4569.202
transcript.whisperx[113].text 行政院所提出的條例雖然沒有經過程序委員會我們讓你近乎二十年那如果院長這兩天有空可以召集協商的話我們希望在這個本週五啊本週五能夠順利的三讀順利的三讀順利三讀以後就可以把實際的預算項目把它提進來不過本席也認為啊給院長做個參考就是
transcript.whisperx[114].start 4571.957
transcript.whisperx[114].end 4593.742
transcript.whisperx[114].text 您是行政最高體系的首長請問您有沒有召集全國的縣市一起來討論把各縣市救災的能量重建的能量一起大家來討論共同投入災區這不是一個點
transcript.whisperx[115].start 4595.097
transcript.whisperx[115].end 4609.768
transcript.whisperx[115].text 或是一個鄉鎮一個縣市的災難這是一個複合全面式的很多縣市的災難院長能不能積極來召集一下全國各縣市長一起災後重建大家同心協力我們在
transcript.whisperx[116].start 4611.789
transcript.whisperx[116].end 4625.805
transcript.whisperx[116].text 中央應變中心成立的過程當中我們一直跟地方保持聯繫而且曾經的政委數次南下跟各縣市來進行這種復原重建工作的會議院長 可以嗎可以 我們可以繼續來做那這一次啊
transcript.whisperx[117].start 4629.517
transcript.whisperx[117].end 4653.798
transcript.whisperx[117].text 我要特別希望院長把這一次的災難未來國家救災的能力能夠全面的提升有標準的作業程序各縣市都有各縣市的能量災民是不能等的大家共同來投入不分彼此立法院從去年2月1號到現在針對本案
transcript.whisperx[118].start 4655.356
transcript.whisperx[118].end 4682.696
transcript.whisperx[118].text 各黨同心協力都是支持卓院長希望盡快的把災區救災的任務能夠來完成在這裡也希望這個院長對於這一次鋪天蓋地的海上的路上的這些光電板污染我們整個環境美麗的寶島不是完全由這些光電板來覆蓋
transcript.whisperx[119].start 4684.443
transcript.whisperx[119].end 4707.218
transcript.whisperx[119].text 希望就能源政策的部分可以看看這個摧毀了台灣的美麗的這樣一個地景希望這個部分我們未來會再跟院長請教希望我們的能源政策做一個充分的一個討論還有希望院長我們大家都秉持善心善念對於好像五月天能夠在
transcript.whisperx[120].start 4709.033
transcript.whisperx[120].end 4735.792
transcript.whisperx[120].text 這個7月28號他主動的捐款來救助災民也希望適度的給這些社會善心人士給他們適度的保護不要受到一些側翼的這些攻擊這對國家形象是不好的那另外也希望說我們現在整個不只是救災災後重建的部分國民黨已經提出了國民黨的版行政院提出了560億國民黨提的是600億
transcript.whisperx[121].start 4738.55
transcript.whisperx[121].end 4767.38
transcript.whisperx[121].text 我們希望行政有更寬鬆的預算儘快的 尤其在工資尤其在重建的營建能量上有更大的資源相信就有更多的團隊進來協助畢竟1875沒有屋頂接下來你看明天颱風又進來這些災民到底要怎麼面對我們希望大家同心協力
transcript.whisperx[122].start 4769.079
transcript.whisperx[122].end 4793.268
transcript.whisperx[122].text 人幾幾 人逆幾逆我們一起來救助災民也希望院長這個普發一萬全民共享退稅的成果也希望院長盡快把預算送進立法院來我們會很樂意來審查也希望大家同心協力盡快把救災任務完成好 謝謝院長好 謝謝傅坤祺委員質詢謝謝卓院長 相關部會所長備詢 謝謝
transcript.whisperx[123].start 4799.568
transcript.whisperx[123].end 4804.072
transcript.whisperx[123].text 接下來我們請鄰國城委員子卿王定宇委員請準備
transcript.whisperx[124].start 4828.649
transcript.whisperx[124].end 4834.636
transcript.whisperx[124].text 好 謝謝院長請我們行政院卓院長麻煩再請卓院長備詢好 卓院長早
transcript.whisperx[125].start 4848.822
transcript.whisperx[125].end 4867.148
transcript.whisperx[125].text 說實在我們是很無奈 院長來到立法院 機會難得今天的主題當然是風災水災的專案報告但是我今天看完報紙以後 我心裡面很難過難過什麼 國際失禮 贏笑國際
transcript.whisperx[126].start 4875.1
transcript.whisperx[126].end 4902.34
transcript.whisperx[126].text 燕子啊 你這則新聞底下的人有沒有告訴你我們在前三天以前 約人家韓國我們要去徵向和平委員長 要接近我們當然這也是一個兩國的一個交流這是一件好事 那我就感覺到很奇怪為什麼我們臨時給人家取消讓人家來花文 來告訴我們
transcript.whisperx[127].start 4904.042
transcript.whisperx[127].end 4912.57
transcript.whisperx[127].text 中華民國的官員就是這樣外交禮節不足然後對於外交的這些
transcript.whisperx[128].start 4914.249
transcript.whisperx[128].end 4942.524
transcript.whisperx[128].text 是非常痛苦的難怪我們外交會這麼困境基本的理數不懂 院長真的 這跟你投訴一下我相信不是院長你要這樣做那我們回想起來最起碼的話外交也是總統的職權你在行政院的部分但是不管怎麼樣最起碼這些外交理數
transcript.whisperx[129].start 4944.597
transcript.whisperx[129].end 4952.681
transcript.whisperx[129].text 這麼快一點 我們要有嘛怎麼會約好人家 然後來取消一定 你今天這樣不好
transcript.whisperx[130].start 4954.933
transcript.whisperx[130].end 4977.518
transcript.whisperx[130].text 報告委員 我清楚這個事情的目前的狀況因為我們出訪的政委他是要去參加APEC會議所以才變動了這個時程 這是第一個第二個 我覺得我們應該迅速馬上透過外交的管道跟途徑來進行必要的措施來做充分的說明 取得諒解
transcript.whisperx[131].start 4978.198
transcript.whisperx[131].end 4999.888
transcript.whisperx[131].text 第三個 我也想請委員能夠理解任何外交的談判是非常辛苦的我們給外交部人共同的一個支持就是很辛苦 這個叫做什麼一定 你都不要說理由啦第一個就是規劃不完善做事情頭痛醫頭 腳痛醫腳跟阿培有什麼關係
transcript.whisperx[132].start 5001.243
transcript.whisperx[132].end 5013.315
transcript.whisperx[132].text 我說實在老早就規劃的東西外交的東西千萬千萬建議我們行政院建議我們總統府建議我們的外交部長
transcript.whisperx[133].start 5016.535
transcript.whisperx[133].end 5044.423
transcript.whisperx[133].text 講出來的話 約定的時間是國際裡面堅定的一個禮數所以外交真的 林委員時間暫停容許我提醒一下我們今天依照本院立法院職權刑事法第17條邀請行政院院長來報告丹納斯颱風災後復建專案報告所以要特別拜託林委員就針對我們報告的主旨提出質詢這個邀請立法跟行政大家互相尊重
transcript.whisperx[134].start 5045.407
transcript.whisperx[134].end 5071.935
transcript.whisperx[134].text 好嗎好 院長這個我只是跟你投訴不要移校國際這個這個真的非常重要這未來一定要不要私信於國際這是非常重要來 一六我們回歸今天的主題我說實在的風災啊 天災啊說實在的
transcript.whisperx[135].start 5074.5
transcript.whisperx[135].end 5088.256
transcript.whisperx[135].text 沒有人怪誰的問題但是我們人後我們行政業就要特別去做很簡單我們過去是三級政府有台灣省政府
transcript.whisperx[136].start 5089.244
transcript.whisperx[136].end 5110.159
transcript.whisperx[136].text 可是我們現在改為二級政府的時候地方政府就直接用新政院所以當然在這個部分會做起來沒有另外一道防線所以變成院長就很重要各部會就很重要所以一定要
transcript.whisperx[137].start 5110.999
transcript.whisperx[137].end 5135.479
transcript.whisperx[137].text 沒有人怪你們 現在問題是行政院的態度跟他的成效可以看得出來 這次的風災 這次的水災可以看得出來 我們現在政府根本無心救災欸 你聽嘛災民苦等了23年 剛才我們傅坤祺總召一直在講
transcript.whisperx[138].start 5136.704
transcript.whisperx[138].end 5160.402
transcript.whisperx[138].text 我們從第一天就下去 也都在做沒有苦等23天我跟妳講啦 第一個 到了想幫忙來的切滾心 那多可憐啊第二天 我們民眾黨 微薄之力量就進去煮東西給人家吃然後完全沒有 我們就進駐
transcript.whisperx[139].start 5162.698
transcript.whisperx[139].end 5187.379
transcript.whisperx[139].text 我把他們的心情轉述給你了解非常感謝大家的協助但是你們最偏遠的地區災害最嚴重的地方是我們民眾黨台南市黨部還有我辦公室的主任他們拿著東西拿著遺産去把他們接到宮廟沒有被拆的地方
transcript.whisperx[140].start 5188.88
transcript.whisperx[140].end 5218.14
transcript.whisperx[140].text 那是很可憐的到晚上的時候春秋不看黑菜很可憐的所以我是覺得今天我們來探討我沒有指責行政院但是未來極端氣候的過程當中我們如何做得更好如何不要讓老百姓置身自媚這是很重要的這是一個郵委的政府應該要做可是你看這次的風災跟水災
transcript.whisperx[141].start 5220.581
transcript.whisperx[141].end 5242.047
transcript.whisperx[141].text 確確實實在這個部分是不足的啊你的報告裡面也講啊那我們很同意啊不足的地方我們就要來加強有瑕疵的地方我們就來改進但是做不足的地方我們就應該如何來其實我們是不應該這樣我不曉得 院長你再迅速內政 外交 經濟
transcript.whisperx[142].start 5246.308
transcript.whisperx[142].end 5267.063
transcript.whisperx[142].text 外交歸外交 但是內政 經濟 農業等等東西是要在你身邊像我看到你下去行災 有一天你就做得很好老百姓就跟你講 我家裡面的電器你沒有辦法去解決 你就把經濟部長找來
transcript.whisperx[143].start 5267.944
transcript.whisperx[143].end 5283.089
transcript.whisperx[143].text 因為我們經濟部長可能人高馬大站在最後面但是他在幹嘛我不曉得可是在影片看到的你要他來解決這個事那問題在哪邊問題就其實災民
transcript.whisperx[144].start 5285.208
transcript.whisperx[144].end 5297.584
transcript.whisperx[144].text 天災他不會怪你但是仁厚 侍厚的態度很重要所以院長你去具備所長的這種安撫人心的動作
transcript.whisperx[145].start 5298.39
transcript.whisperx[145].end 5321.15
transcript.whisperx[145].text 最起碼你有做到這裡那賴總統當然我們就不講啊他愛怎麼講就怎麼講反正你也不敢管他跟你反應也沒有用那老百姓自己會覺得但是基本上卓院長在這個部分我們老百姓是覺得你最起碼是誠懇以對對問題解決問題最起碼
transcript.whisperx[146].start 5324.636
transcript.whisperx[146].end 5347.149
transcript.whisperx[146].text 安撫他們老百姓的人心報告委員 總統也好 部長也好跟我以及所有的同仁去到災區都是同樣的心情是啦好啦 你們滿意就好今天我們的目的是要把實情下情上黨是 我了解你們認為說你們現在救災是100分沒有 絕對要改進你們也可以認為是120分我說我們心情是一樣的老百姓我們會檢討 會改進
transcript.whisperx[147].start 5353.052
transcript.whisperx[147].end 5376.18
transcript.whisperx[147].text 一定 老百姓自有感觸你們自為滿足 那你們就自為滿足我沒有滿足 絕對沒有滿足對不對 你們還有人講你們救災是100分內所以這不這樣講啦一定 贏了一個寶庭說出來贏了一個兄弟說出來說實在 老百姓會非常痛心的
transcript.whisperx[148].start 5376.755
transcript.whisperx[148].end 5396.675
transcript.whisperx[148].text 怎麼會100分呢100分評分是應該要老百姓是應該要受災戶他們來評分啊你們怎麼 你自認為你100分老百姓認為40分啊所以這有差距我們今天不爭論時間有限我還是要呼籲我們 院長
transcript.whisperx[149].start 5397.745
transcript.whisperx[149].end 5412.819
transcript.whisperx[149].text 我從里長出生 我們很清楚我們地方有里幹事 我們有民政局我們有 怕是手 我們有消防單位一定救災系統完全沒有發揮
transcript.whisperx[150].start 5414.124
transcript.whisperx[150].end 5435.744
transcript.whisperx[150].text 我看了很可憐為什麼看了很可憐你知道我們台灣民眾黨我們黨部雖然力量少但是第二天進駐的時候人家老百姓覺得他們最需要的時候給他一點點泡麵煮泡麵給他吃他都非常高興他認為他是最需要
transcript.whisperx[151].start 5436.86
transcript.whisperx[151].end 5465.494
transcript.whisperx[151].text 你知道我們街下十個人有八個都在罵政府嗎不管是地方政府 中央政府都在罵政府嗎我們好像不是這國的我們二等 三等公民一定我是下情上達 讓你了解那你們如果繼續麻木不仁 那我不管但是民意代表本來就要把老百姓的需要跟老百姓提供讓你去做參考 讓你去做改進
transcript.whisperx[152].start 5466.468
transcript.whisperx[152].end 5481.961
transcript.whisperx[152].text 所以我是覺得這樣啦好與壞老百姓在做評斷受災戶在做評斷所以一定時間的關係雖然讓你講比較久但是我希望幫老百姓把下情上打
transcript.whisperx[153].start 5483.03
transcript.whisperx[153].end 5512.252
transcript.whisperx[153].text 讓你了解我完全聽進去了 謝謝委員救災緩慢物質短缺真的啦一定 人民是哀嚎的我還是要呼籲 院長是中華民國裡面最高行政院長最高行政院長是在替老百姓做事老百姓有這種哀嚎我建議我們卓院長你一定要去參佐老百姓
transcript.whisperx[154].start 5512.83
transcript.whisperx[154].end 5540.086
transcript.whisperx[154].text 他真正的名義是什麼另外一個我要跟院長來談的通信中斷 災期真的成為孤島一定 我第二天就去了我一直都一直所以在委員會我也曾經跟交通部我也曾經跟數位部跟NCC我都跟他們建議台灣可以漫遊的你們為什麼不漫遊
transcript.whisperx[155].start 5541.212
transcript.whisperx[155].end 5564.962
transcript.whisperx[155].text 台灣可以救災漫遊的 不要僵移法令技術是沒有問題的最後我們在委員會兩個主委跟部長他們也行政院指示這個救災 救災如同作戰所以法令太僵硬 沒有辦法去轉變就會變成這些事
transcript.whisperx[156].start 5565.407
transcript.whisperx[156].end 5585.007
transcript.whisperx[156].text 可是受災殃的是誰老百姓 我們台灣的老百姓所以一定 正經的啦 很可憐啦這個當然問題現在已經解決陳太祖偉跟黃部長他們也把這個本來可以做的為什麼要拖到
transcript.whisperx[157].start 5586.021
transcript.whisperx[157].end 5607.942
transcript.whisperx[157].text 快一個月才做所以一定 我要跟你講的就是我們有資源 但是沒有積極的態度就會變成受災央的是受災婦所以本來我們就可以做的為什麼不可以做請陳書偉答覆一下 不用答覆啦他這個已經發布了這過程當中是一直努力在完成
transcript.whisperx[158].start 5608.402
transcript.whisperx[158].end 5634.731
transcript.whisperx[158].text 包括三大業者都請到現場希望他們做什麼樣的工作分配都有在做 但是做得不夠快這是事實對啦 一定 我就跟你講過了你的報告 你的什麼給我們看你的這種承認動作慢這個我們也肯定你們有這種檢討的必要我今天跟你講的是把下情上打讓你了解老百姓的心態所以今天你來報告
transcript.whisperx[159].start 5636.141
transcript.whisperx[159].end 5659.017
transcript.whisperx[159].text 才有這個目的 帶回去給各部會 該做的下去做我還是要建議啦 院長 我們這個衛星公有化衛星車公有化 這個很重要據我了解 數位部也都固定有在補助三大電信公司但是這個部分 我要建議我們院長
transcript.whisperx[160].start 5659.918
transcript.whisperx[160].end 5684.736
transcript.whisperx[160].text 你要把它說救災養兵千日用在一時如果能夠補助它我們就有辦法去衛星車工有化雖然你來保管 剛剛有說過當然如果我需要的時候老百姓需要的時候我給你調動 要馬上調動這個部分我要建議我們
transcript.whisperx[161].start 5686.179
transcript.whisperx[161].end 5700.653
transcript.whisperx[161].text 這個院長要把它當成一個非常重要的不要成為沒水沒電沒人管也沒有信息這是老百姓心裡面會感覺到非常痛苦的
transcript.whisperx[162].start 5701.053
transcript.whisperx[162].end 5729.594
transcript.whisperx[162].text 房屋也被拆然後也寸步難行也沒有人關心他這是很重要的 院長我們倚重心長台灣民眾黨會自己去做這些事我們雖然微博之力量無法改變但是我拜託我們院長這個一定要最後太陽能因為這個應該要經濟部跟環境部要盡快去做啦因為這個那最後啊真的治水的問題啊
transcript.whisperx[163].start 5730.555
transcript.whisperx[163].end 5749.893
transcript.whisperx[163].text 我支持該預算該增加的要增加只要我們的財政紀律容許基本上台灣民眾黨會支持的啊救災的預算或者那個我們會用一個非常理性的態度我們會來做但是我最後我真的要呼籲
transcript.whisperx[164].start 5751.021
transcript.whisperx[164].end 5777.89
transcript.whisperx[164].text 大罷免 這已經過去所以我還是希望我們不要讓老百姓自生自滅一定 陳貴文 你的幾秒鐘拜託你會看完是怎樣我陳氏跟 希望跟委員跟大院共同來討論未來的特別條例跟特別預算如何讓他有充裕的經費能夠全面好 謝謝林國成委員的質詢也謝謝左院長 相關部會所長的備詢 謝謝
transcript.whisperx[165].start 5781.92
transcript.whisperx[165].end 5805.534
transcript.whisperx[165].text 接下來我們請王定宇委員質詢之後我們會休息10分鐘麻煩請王定宇委員質詢謝院長 麻煩卓院長麻煩再請卓院長備詢
transcript.whisperx[166].start 5817.096
transcript.whisperx[166].end 5831.262
transcript.whisperx[166].text 王委員好 辛苦了謝謝其實我有很多重要的題目要談不過剛剛聽了一下我其實有個感慨身為台南人任何人來幫我們哪怕只幫一個小時我們都充滿了感謝但是千萬不要以為
transcript.whisperx[167].start 5832.639
transcript.whisperx[167].end 5850.827
transcript.whisperx[167].text 你有幫忙 別人什麼都沒做你有來 別人就放在那邊自生自滅去貶抑當地的努力不會讓自己更偉大我們回到自己的 我們的題目這一次是一個危機120年來第一次有颱風從嘉義台南這個平原的地方衝上來
transcript.whisperx[168].start 5852.589
transcript.whisperx[168].end 5869.364
transcript.whisperx[168].text 120年來第一次考驗我們嘉南平原我們的糧倉更是現在的科技狼帶能不能有抗災的韌性所以我們希望這一次的救災不僅是救急更能夠從根本上去解決一些問題危機就是轉機
transcript.whisperx[169].start 5870.305
transcript.whisperx[169].end 5892.838
transcript.whisperx[169].text 透過這個災難的重建過程把國土抗災韌性把它提高我們現在都講韌性台灣我們之前遇到百年大旱還好八年八百億裡面有關不管是工業水井 浮流水 水庫峻深或者是幾個聯通管的接通才能夠讓我們經過兩年多幾乎沒什麼下雨的百年大旱
transcript.whisperx[170].start 5894.039
transcript.whisperx[170].end 5921.112
transcript.whisperx[170].text 我們其實沒有停水它最多是減壓供水所以平時做好基礎建設遇到災難的時候那個韌性發揮出來感覺不到政府的存在反而是一件好事所以我們這次題目很多那我們在現場不管是經濟部啦或者我們指揮官陳金德啦 政委等等其實都做了相當多的努力外界未必看得到那我現在要提出幾個項目我們可以一起來透過這幾個項目我們來檢視的第一個
transcript.whisperx[171].start 5924.094
transcript.whisperx[171].end 5945.315
transcript.whisperx[171].text 在食棉建材其实很多年前就已经列为我们一级的致癌的建材新的建物都不能用老旧的建物呢食棉呢它那个进到肺部里面要很多年以后才会导致肺病变这一次风灾到了把微屋子摧垮了
transcript.whisperx[172].start 5946.192
transcript.whisperx[172].end 5975.038
transcript.whisperx[172].text 那正在重建的過程當中能不能有一些誘因跟強過去就有誘因了啦但誘因存在那裡 大家不想換反正處大好好的房子在那裡就順順的就好透過這一次能不能加一點半強制加高鼓勵的方式把實棉建材從災後重建的過程當中能夠把它從嘉南平原把它掃掉我不知道院長對這個方面有沒有什麼樣的計畫跟遠景
transcript.whisperx[173].start 5976.809
transcript.whisperx[173].end 6002.926
transcript.whisperx[173].text 部長先說一下 保護委員的確失眠是一個很長久以來的問題我們台灣有二十幾萬棟的房子都有這個東西但是其實這個情況是這樣就是說如果他被破損但是他是破掉才會有問題如果好好的我們不用動他他對我們身體是沒有危害的所以我們是有編定計畫逐年的淘汰我現在講的是平時的時候你們就有編定計畫鼓勵替換
transcript.whisperx[174].start 6005.028
transcript.whisperx[174].end 6019.883
transcript.whisperx[174].text 現在遇到的是天災類似戰時然後現在這附近的房子石棉瓦被吹掉了我們剛好要把它重建可不可以盤點一下這個社區也許還有七八戶還有石棉屋頂要不要一起給它鼓勵說做廢棄 做一邊叫工比較便宜
transcript.whisperx[175].start 6024.066
transcript.whisperx[175].end 6046.296
transcript.whisperx[175].text 因為我也到地方去看過很多那最大麻煩是有很多譬如說台南 嘉義很多是好幾戶才共有那一戶所以他們產權他們要解決這個問題就很困難所以我們想辦法要解決我今天提這個問題是點出這個問題這是一個機會我們看到是天災的危機當然產權持分你若不要本業財產你若不要自己出新的你懂我意思嗎
transcript.whisperx[176].start 6047.136
transcript.whisperx[176].end 6073.295
transcript.whisperx[176].text 在建材的修繕上管理人 居住人他不會說牆壁上釘個釘子還要持份人蓋章所以在鼓勵的措施上我們這個社區既然有幾間石棉瓦工廠石棉瓦屋頂的老宅被摧垮了就是要重建了工要入賣 宅要入賣透過我們的民政體系統計一下還有七戶 六戶他們雖然房子沒有受損但是在那裡你永遠不知道他什麼時候會致癌
transcript.whisperx[177].start 6074.096
transcript.whisperx[177].end 6090.825
transcript.whisperx[177].text 那透過跟他溝通一下我給你帶新的好不好給你鼓勵 給你補足把這一個環境致癌物呢透過天災把它扭轉我樂見我也期待環境部可以往前push多做一點而不是看到困難就停下來那要等一陣子啦
transcript.whisperx[178].start 6091.385
transcript.whisperx[178].end 6098.069
transcript.whisperx[178].text 我了解我了解我了解委員的用意希望在這次的過程當中盡量把那些可能的致癌物少用不要用讓他未來不會讓他絕跡啊我們期待是就在把人從
transcript.whisperx[179].start 6113.823
transcript.whisperx[179].end 6135.514
transcript.whisperx[179].text 難以生活回到可以維持一般的生活但我們可以更進一步把他生活當中的不好的部分把它去除掉那這個就往前做的更多一點點我們看下面這個數據我請工程會來研究注意能不能在這個要做到相當的程度讓大家安心要不然這次你看石棉把吹下來連去清運都要帶防護衣
transcript.whisperx[180].start 6137.075
transcript.whisperx[180].end 6158.469
transcript.whisperx[180].text 那把它拿走之後對未來抗災的韌性其實也是提高的透過一點誘因 透過民政系統透過這個趨利去跟他講這概念說那是性感情啦現在看不到二十天後換你也沒得拖背那透過這個方式我給他多一點補助隔壁剛才吹倒了現在在修理這會大打的 多做一點
transcript.whisperx[181].start 6159.557
transcript.whisperx[181].end 6185.508
transcript.whisperx[181].text 人民會有感受的這片土地會有回饋的大概我們現在編了7.8億所以這個部分會全力來支援台南嘉義因為那邊的量大到大到可能駐北部人不理解其實這量相當大他已經列為一級致癌物那個量算重的 很多喔 很多那我現在來看一下我們這一次光台南市嘉義還有喔其實整個加起來是4萬多戶光台南市民宅的毀損觸定消去30804戶
transcript.whisperx[182].start 6188.709
transcript.whisperx[182].end 6208.21
transcript.whisperx[182].text 大家可以想像三萬零八百零四戶那個分佈的範圍然後呢這個丹納斯颱風吹完之後緊接著兩百毫米的大雨又接著來光台南三萬多戶齁出町如果要蓬佈一戶給你用五台就好了你知道要多少帆布
transcript.whisperx[183].start 6209.195
transcript.whisperx[183].end 6219.24
transcript.whisperx[183].text 然後那個狀況要去救災要去重建要去清運垃圾要處理人要處理產權要處理垃圾清運要復電要通信
transcript.whisperx[184].start 6219.949
transcript.whisperx[184].end 6240.841
transcript.whisperx[184].text 所以我還是那句話我剛才聽了一小段其他同仁的質詢真的 大家都來多做一點但是不要因為自己我去的時候旁邊沒人就也都沒有人在做其實基層的公務人員都很辛苦我們陳金德政委在現場指揮調度都知道那個其實沒命沒力大家不忍心自己的署名
transcript.whisperx[185].start 6242.122
transcript.whisperx[185].end 6262.956
transcript.whisperx[185].text 那這三萬多戶裡面呢大概我根據它的區域這17個區域還有它的坪數大概有個分類那這裡面難處在哪裡呢我們的復健通常是叫救急我讓你不流水就好但是在救急的時候這個禮拜搞不好又有個颱風要來啊對啊 然後
transcript.whisperx[186].start 6265.097
transcript.whisperx[186].end 6293.659
transcript.whisperx[186].text 可能有豪大雨啊 我又要救急我又希望這個臨時的救急的設施要能夠穩固抗災然後呢 這裡有很多紅色的家住在 住在北部土地的人哎喲 我們的人怎麼住在這種破落戶裡面好可憐喔 那個是標準的從北部天龍新帶看南部三合院 農村的風光那是有文化底蘊的甚至於三合院你去看那個黃坤湖國策顧問他到現在也住三合院啊
transcript.whisperx[187].start 6294.571
transcript.whisperx[187].end 6320.379
transcript.whisperx[187].text 三盡的三百億啊整個本手存手啊三合院有它的歷史的底蘊在農村地帶這種紅色處有它的美甚至有的是有文化資產保存的價值像我們台南的喜樹聚落是全台灣最大的三合院的聚落我很擔心說重建之後通通變鐵皮屋你懂我的意思嗎因為這很難啦這個我要跟院長跟政委跟部長講
transcript.whisperx[188].start 6325.099
transcript.whisperx[188].end 6341.971
transcript.whisperx[188].text 我來做的不一定好我只是說跟各位共同探討我又要救急希望它不會漏水趕快搭起來我又希望這個東西能夠很穩固下一個颱風來不會飛走然後呢地方這些老屋老宅它那個屋子那個屋子其實現在材料都沒了
transcript.whisperx[189].start 6343.035
transcript.whisperx[189].end 6352.828
transcript.whisperx[189].text 所以怎麼樣在材料 地貌 地景穩固跟緊急救急之間有它的困難度我是不是先請陳金德指揮官你有讀到這個困難點嗎這到底要怎麼處理
transcript.whisperx[190].start 6355.151
transcript.whisperx[190].end 6382.971
transcript.whisperx[190].text 因為這個三合院或是比較鄉下的老宅都是繼承很久就沒有繼承好幾代人60年 70年 80年那天總統去看那一戶98年的房子所以他很多人共有所以根本沒辦法改建因為沒有辦法改建所以就沒老沒老所以每個房子都已經很老舊了這是第一個那第二個有的是國有土地
transcript.whisperx[191].start 6383.431
transcript.whisperx[191].end 6405.211
transcript.whisperx[191].text 那國土利你如果說材料要重建就面臨重建的問題那為什麼有這麼多因為南部 嘉南平原很少碰到這麼大的風災120年來第一次 直接掃上來就是碰到這麼大的風災所以這一次問題才呈現出來有那麼多戶房子被掀掉那你如果說東部地區因為它經常面對颱風
transcript.whisperx[192].start 6407.392
transcript.whisperx[192].end 6431.17
transcript.whisperx[192].text 類似的房子都已經被吹掉很多東部經常面對災殃它的韌性會好一點關於這些瓦的問題那麼台南市這邊也有人建議說台南市政府的文化局應該成立一個類似屋瓦的銀行啦有的拆下來不用的就收集有的要用的就給他他們用這個方式政委 就指揮官這邊
transcript.whisperx[193].start 6433.413
transcript.whisperx[193].end 6436.866
transcript.whisperx[193].text 你這個建議方向是對的我剛才講難處就是你一手要救急
transcript.whisperx[194].start 6437.912
transcript.whisperx[194].end 6465.386
transcript.whisperx[194].text 直接把它搭起來一手要文化保存然後又希望這個東西能夠穩穩固固的抗災 抗震等等這個很難你剛才講是一個方向烏瓦銀行 古厝拆下來可以刷來這裡銀或者有一些規格比較好的現代的建材可以去取代舊的烏瓦至少風貌不要改變太多把規格訂好在重建的時候針對多少尼哥衣裳的老厝我被處理在修理的時候
transcript.whisperx[195].start 6466.647
transcript.whisperx[195].end 6489.956
transcript.whisperx[195].text 那個規格不一樣我補助給你多一點點只為了維持嘉南平原這一兩百年來農村的風貌這個我覺得可以多用一點點心多做一點讓在地人民感受一點真的不要風災之後轉播變鐵皮屋這個其實是一個問題那我剛才講的因為今天時間關係救急又要穩固其實是兩難
transcript.whisperx[196].start 6492.079
transcript.whisperx[196].end 6504.408
transcript.whisperx[196].text 我沒有去到現場的人很容易講風涼話我不希望是這樣的情形我舉帆布的例子我跟救災指揮官曾經的政委討論過我現在看到一個隱憂就是帆布
transcript.whisperx[197].start 6505.345
transcript.whisperx[197].end 6533.425
transcript.whisperx[197].text 帆布是不得不第一時間三萬幾間房子在漏水你不搭帆布你要叫那個老人在家裡淋雨嗎而且會漏電我那天去那邊被電到那個會漏電所以不得不要用去嫌棄帆布的人是不曉得他第一時間屋子在漏水屋漏偏逢連夜雨他只用帆布把它蓋起來可現在問題來了颱風今天進來這數萬片的帆布蓋在這些脆弱的屋子的頂上
transcript.whisperx[198].start 6535.162
transcript.whisperx[198].end 6563.722
transcript.whisperx[198].text 不用十六七級風九級以上一吹我們都可以想像會發生什麼事情這個防部綁著屋子 屋子本來就脆弱了綁得夠牢靠會不會像風防一樣把整個房子拔掉綁得不牢靠飛走不用多一萬片飛走我們所有的水路 水路 水門 排水道被這防部水往地數流往那邊集中的時候塞住了橋墩塞住了所以
transcript.whisperx[199].start 6565.113
transcript.whisperx[199].end 6574.258
transcript.whisperx[199].text 現在面對的是颱風即將進來這些帆布都是綁著甚至用磚頭壓在屋頂上這今天你要知道這個要怎麼辦
transcript.whisperx[200].start 6576.717
transcript.whisperx[200].end 6596.391
transcript.whisperx[200].text 報告委員 目前在進行的 媒合的很快目前安排媒合的已經有1917 完成確定210我們認為要迅速的把這個屋頂用類似其他的金屬板來鋪上去用浪板把它蓋起來浪板和彩色金屬板我們討論過這個數據 因為3萬多戶
transcript.whisperx[201].start 6600.895
transcript.whisperx[201].end 6616.918
transcript.whisperx[201].text 來報煤核的大概兩成有八成裡面大概有一大部分是因為要拆掉了他自己要處理了還有一部分是沒有來申報的啦縱使有煤核那兩成我們那天聽到的是兩個禮拜內完工嘛在拼兩個禮拜內完工嘛那我現在講的颱風是今天啊
transcript.whisperx[202].start 6618.314
transcript.whisperx[202].end 6642.211
transcript.whisperx[202].text 颱風的部分我們認為帆布不是長久之計如果颱風來了為了避免災民在第二次受到災損我們請台南市政府必要的時候應該做預防性的撤離我建議是這樣子如果預判颱風會進來會到那個位置帆布的部分要做適當的處理
transcript.whisperx[203].start 6644.585
transcript.whisperx[203].end 6669.142
transcript.whisperx[203].text 拿下來是一種處理綁緊是一種處理看那個房子的狀態人要做妥適的安置萬事不如人重要人要安置好跟委員報告今天這個楊柳颱風應該二級的中央應變中心二級已經開設了預計今天中午左右一級會開設我們已經透過中央應變中心要求地方政府全部的處理趕快把它安全上處置
transcript.whisperx[204].start 6669.782
transcript.whisperx[204].end 6685.378
transcript.whisperx[204].text 能夠讓他更穩固 人員要事先撤離我今天在大院質詢之後 傍晚之後我也會到應變中心再去實地了解當下立即會發生的事情我強調一次 帆布在糾結的時候是必要要做的可是面對連續的災難過來的時候
transcript.whisperx[205].start 6687.82
transcript.whisperx[205].end 6703.106
transcript.whisperx[205].text 這個帆布可能反而成為致災因子這個要妥善處理我最後提這一個其實很多點我先舉個例子當時蘇貞昌院長編了78億那還被人家罵被人家笑把平和公路141公里把它2200多支電桿地下化
transcript.whisperx[206].start 6704.332
transcript.whisperx[206].end 6721.563
transcript.whisperx[206].text 以前颱風一來那邊停電幾乎都是主供應電線被吹斷電線桿被吹倒如果有到北門地區會發現那個電桿是燃藥折斷所以透過這次復電重建台電能源的辛苦我們未來能不能啟動嘉南的主供應電線的全面地下化把他放在
transcript.whisperx[207].start 6735.182
transcript.whisperx[207].end 6747.281
transcript.whisperx[207].text 好 谢谢王定一委员质询谢谢卓院长 相关部会所长的备询谢谢官员可以现在我们休息十分钟之后我们请杨琼英委员质询现在休息
transcript.whisperx[208].start 7379.033
transcript.whisperx[208].end 7380.638
transcript.whisperx[208].text 我們現在繼續開會接下來請楊瓊英委員質詢張琦凱委員請準備
transcript.whisperx[209].start 7407.193
transcript.whisperx[209].end 7419.393
transcript.whisperx[209].text 敬愛的院會主席韓院長我們行政院卓院長所領軍的行政院團隊各位新聞界的朋友我們同仁 陽泉發言首先邀請院長麻煩再請卓院長備選
transcript.whisperx[210].start 7429.858
transcript.whisperx[210].end 7451.413
transcript.whisperx[210].text 陳委員好院長好 辛苦了我們首先要請教這一次當然是颱風在南部地區重創光電板飛來飛去的所以民眾很恐慌在這樣的情況之下目前還有多少的光電板還沒有清理
transcript.whisperx[211].start 7452.233
transcript.whisperx[211].end 7463.525
transcript.whisperx[211].text 甚至當時我們透過媒體也看到在餘溫或者是在滯洪池裡頭所以到目前為止我們還有多少光電板還沒有清楚 請說明
transcript.whisperx[212].start 7464.885
transcript.whisperx[212].end 7489.641
transcript.whisperx[212].text 報告委員在風災期間跟大雨之後我去到現場去嘉義我們看了幾處其中有些廠商他自己處理的很好我們都特別感謝他那我知道現在只有一個地方我們也開了罰單了也幫他租了台塘用地讓他臨時的堆放但是水面上的部分應該已經完畢就是堆放的那些部分他還沒有完全處理好
transcript.whisperx[213].start 7490.382
transcript.whisperx[213].end 7504.224
transcript.whisperx[213].text 還沒有處理好有這個例子我們現在又看到楊柳颱風又要來了在楊柳颱風又要來已經有預告了再來之前是不是可以完全的清除好
transcript.whisperx[214].start 7506.851
transcript.whisperx[214].end 7529.504
transcript.whisperx[214].text 報告委員其實目前就是有兩個廠昨天被我們各開罰了200萬因為他堆置在那個地方就是屬於事業廢棄物那我們有開罰他200萬各200萬本市不問你開罰的情況民眾要的是安心楊柳颱風要來你請院長本市要請問的楊柳颱風要來了你會不會在楊柳颱風來之前把他清除好
transcript.whisperx[215].start 7530.565
transcript.whisperx[215].end 7538.651
transcript.whisperx[215].text 楊柳颱風今天中午之後會發佈一級的應變中心成立那也發佈入境那在這個情況我要求
transcript.whisperx[216].start 7540.162
transcript.whisperx[216].end 7565.799
transcript.whisperx[216].text 環境部跟地方政府要去再次要求業者因為業者他本身處理的能力不足那這個屬於他的財產那我們也已經替他找了氣質廠希望在氣質的臨時對方的地方至少要讓那個地方是安全的院長您所說的業者的能力不足但是民眾是政府的所以你們要有責任怎麼樣剛剛您所說的本席具體要求在洋流颱風來之前要把它處理好
transcript.whisperx[217].start 7566.599
transcript.whisperx[217].end 7570.565
transcript.whisperx[217].text 您能不能保證未來不會有這樣的事情發生院長
transcript.whisperx[218].start 7572.879
transcript.whisperx[218].end 7598.809
transcript.whisperx[218].text 風災各有隨時都有可能但是今天跟今天一樣的錯誤本期不告訴你風災的問題本期告訴你是光電板這樣的處理未來不會有這種現象產生今天的錯誤我們極力把它避免掉極力避免 謝謝你接下來本期要跟你討論今天是我們災禍專報本期要請教請教院長你認為這一次中央在救災的工作上面你打幾分
transcript.whisperx[219].start 7599.79
transcript.whisperx[219].end 7618.465
transcript.whisperx[219].text 我不敢替自己打分數 我剛剛在報告當中說了我覺得我們那個強韌的 韌性的力量不足韌性的力量不足所以本期告訴你我們回應處理的速度也不夠快廣泛的支持也不夠多
transcript.whisperx[220].start 7621.071
transcript.whisperx[220].end 7649.307
transcript.whisperx[220].text 謝謝你的檢討 但是我認為院長還有總統 你應該多聽民眾的聲音一定要好好檢討第一個 應變不足資訊 災區的資訊非常的混亂第三個 欠缺統籌這是非常重要 近六成的民眾在媒體報導 他認為你們是不及格的所以因此本席要告訴你你們多久才前進指揮所七月三十號
transcript.whisperx[221].start 7650.083
transcript.whisperx[221].end 7673.201
transcript.whisperx[221].text 7月30號我們什麼時候發生颱風是7月6號二十幾天但是風災零七二八的豪雨之後才把第一次的風災的狀況又把它加劇了否則在當那次颱風之後地方政府跟中央持續就房屋的修繕是逐步的在展開所以你的冷靜應變能力不足北京告訴你2012年陳忠當院長的時候
transcript.whisperx[222].start 7676.01
transcript.whisperx[222].end 7679.438
transcript.whisperx[222].text 天秤颱風24號登陸陳中院長立即指示成立這個前進指揮所
transcript.whisperx[223].start 7684.042
transcript.whisperx[223].end 7707.533
transcript.whisperx[223].text 他是24號登陸當天就成立 只是成立你是24天之後才成立啊是24天才成立我們在中央應變中心一直跟地方保持最高的聯繫所有必須要的資源調度都全力的支援院長 我擔心的不是你什麼時候成立我擔心的是你的指揮所 你的應變能力 你的統籌能力到底是怎麼樣
transcript.whisperx[224].start 7708.717
transcript.whisperx[224].end 7732.996
transcript.whisperx[224].text 到底是怎么样所以本席在这边要告诉你也就是说我们在灾前的一个能力的一个统合以及灾后我们看到问题随时叙述万片的时候我们要怎么样应对去统筹这个才是最重要的了解你也认同这样子那你既然认同这样子本席要来请教你
transcript.whisperx[225].start 7735.038
transcript.whisperx[225].end 7762.232
transcript.whisperx[225].text 在這一次我們媒體報導看到我都覺得非常的汗顏台南人受訪說政府擺爛台南的里長說整個救災就像腦死一樣他說過去在救災的時候會有直升機啊會趕快來看災路線路障我們的資源要從哪一個路進來但是他們說他們村子棄天他被道路封鎖的棄天沒有人來看也沒有看到空中的救援
transcript.whisperx[226].start 7763.257
transcript.whisperx[226].end 7779.893
transcript.whisperx[226].text 空洞的救援在這樣的一個情況下說了一句話這個是里長說你等他里長說根本把我們台南人當什麼三級的難民報告委員地震的時候陸生機是可以出發的但是在這種風力雨勢之下我們要注意到安全
transcript.whisperx[227].start 7781.014
transcript.whisperx[227].end 7804.475
transcript.whisperx[227].text 聽聽民眾的聲音這是你台南的里長的聲音這是你台南里長的聲音如果你這樣在人民眼中看來第一個時間你就是麻木的第二個時間你就是遲緩的第三個時間你不反省嘛民眾里長已經這樣告訴你所以本席要具體跟你建議因為我們看到民眾告訴說我們的屋頂需要修總統說你自己爬
transcript.whisperx[228].start 7806.418
transcript.whisperx[228].end 7826.748
transcript.whisperx[228].text 斷訊總統告訴我們說立委有啊可是因為斷訊所以延誤就醫那個人走了我很難過還有我們的電力因為民生還有養護中心都是我們的人民都是我們的生命在這樣情況之下本席要請要告訴你不要把人命當兒戲
transcript.whisperx[229].start 7828.149
transcript.whisperx[229].end 7854.4
transcript.whisperx[229].text 不會 不可能 不可能好一個不可能 我們好好來檢討也就是說 你必須要好好的救災你必須要顧名聲 而不是就搞政治很多人質疑 在災害發生的時候 到現在到這個7月28 到你們前進指揮所的時候這段時間在做什麼人民高度質疑 在搞政治 不要這麼做人民的人命是最重要的 你認同嗎
transcript.whisperx[230].start 7856.546
transcript.whisperx[230].end 7873.224
transcript.whisperx[230].text 沒有這樣的行為我說這個期間我去到災區有八次總統去的次數也相當相當的多次數多少我沒有跟你討論我要謝謝所有基層搶修的人員我們要好好謝謝他們太辛苦了
transcript.whisperx[231].start 7873.624
transcript.whisperx[231].end 7899.8
transcript.whisperx[231].text 所以我告訴你 你們必須要好好去檢討分區應變的量能到底夠不夠我們不希望再發生 這樣荒腔醜白強韌的力量確實還不夠我們各種設備還是不足所以還要好好檢討 本期具體建議你們必須要學到的教訓要不破碗 你要怎麼做呢建立一正式的聯繫窗口很重要的不能無頭蒼蠅
transcript.whisperx[232].start 7901.26
transcript.whisperx[232].end 7929.176
transcript.whisperx[232].text 第一個你要讓資源要知道在哪裡去統合第二個你必須要HOP流程第三個你必須要做全面性的中央部會資源的一個整合這個才是你身為行政院長你必須要做的好好去檢討好不好好的 謝謝不要把人民當兒戲好不好不會的 謝謝不會 好一個不會我們繼續來討論今天還有一個很重要的議題
transcript.whisperx[233].start 7930.325
transcript.whisperx[233].end 7949.123
transcript.whisperx[233].text 也就是我們的農村台中我們英植玉米上面是溝打開下面發芽從來沒有見過的雷降雨 雷暴雨老天爺給我們的一個挑戰農民打開了之後他真的要暈倒了
transcript.whisperx[234].start 7950.222
transcript.whisperx[234].end 7969.04
transcript.whisperx[234].text 他所有的血汗都沒有血本無歸他還要收食產局南瓜掉在上面裂果了含水量太多裂果了掉下來還會有菌所以我們立即會刊所以我本期在這邊具體要求台中這一次的農損已經超過一億以上
transcript.whisperx[235].start 7970.424
transcript.whisperx[235].end 7997.947
transcript.whisperx[235].text 以農立國的台灣我們沒有理由不照顧我們的農民所以我要求具體在我們的重建災害條例裡頭特別條例一定要納入台中市全面的趕快看災全面的編列預算趕快給農民他們有一個願意再耕作的一個機會院長我拜託大院訴審特別條例我們來編訂特別預算什麼時候送來已經送來了
transcript.whisperx[236].start 7999.878
transcript.whisperx[236].end 8028.849
transcript.whisperx[236].text 我們一定會全力以赴我們一定會全力以赴大縣長已經非常大力的促成了大力的促成嘛條例我們自己也提啊全面的照顧我們的農民啊在審條例的過程或審預算的過程當中大院有任何意見只要跟行政院協商我們都願意來共同討論雙邊協商嘛但是我具體要求台中一定要納入在這個ZIP這個協助我跟委員報告台中一定要納入你給我一個回答就好了
transcript.whisperx[237].start 8030.13
transcript.whisperx[237].end 8043.461
transcript.whisperx[237].text 台中要全面納入對不對照顧我們的農民農損的部分天然災害救助跟專案補助不管特別災害特別條例的一個很清楚只要你超過兩成就可以盡情救助我們已經啟動了所以院長我們會全力的支持農民你們也要全力支持農民台中一定要納入
transcript.whisperx[238].start 8052.723
transcript.whisperx[238].end 8080.164
transcript.whisperx[238].text 來 總會經過主管機關依照條例的內容第二條主管機關來認定實際自災的災區一定要全面納入好 謝謝接下來本席要跟院長討論普發現金一萬塊今天雖然是我們災害條例但是民眾苦不堪言關稅問題 匯率問題所以本席要跟你討論的普發現金7月11日三途通過三途通過我們的耐性特別條例
transcript.whisperx[239].start 8081.249
transcript.whisperx[239].end 8107.904
transcript.whisperx[239].text 8月1號總統公告請問現在行政院的態度到底是怎麼回事行政院的態度是怎麼樣大院修訂的法律總統公告它就會生效生效了行政院要執行嗎那雖然我們認為規矩已經過了是 容許我說雖然我認為在制定的過程當中對於大幅增加稅出沒有來徵詢行政院這個違反憲法跟預算法的條例
transcript.whisperx[240].start 8108.504
transcript.whisperx[240].end 8123.099
transcript.whisperx[240].text 的規定但是總統公告之後我現在想的是我們如何跟立法院行政立法兩院尋求一個解決憲政紛爭的一個方式我們向朝這個方式來講那我也願意依照大家在
transcript.whisperx[241].start 8124.16
transcript.whisperx[241].end 8147.117
transcript.whisperx[241].text 討論過程當中最大照顧的方式讓最大最多數的人普遍受到更多的照顧同時我也希望能夠在產業支持方面能夠增加在電力系統民生系統維持上面能夠增加我們就整個這個韌性的特別條例內容稍作調整但總統公佈的部分既以生效他就會基本上不變
transcript.whisperx[242].start 8148.066
transcript.whisperx[242].end 8176.738
transcript.whisperx[242].text 基本上不變 你會編的預算嗎統統通過的我們就依照法律的精神跟規定但是我一定要尋求什麼時候編來我會尋求解決憲政紛爭的危機我們在媒體上面看到我會用最快的速度在媒體會最快的速度你在媒體讓我們看到說你又要有一個什麼特別調整的條例或者你要釋憲又要排富到底怎麼回事第一個我現在得到答案 你會編
transcript.whisperx[243].start 8177.998
transcript.whisperx[243].end 8189.443
transcript.whisperx[243].text 是不是什麼時候要編總統通過的生肖的法律我們就予以執行4年1.87兆的超徵稅本來就是還稅於民告訴行政院長告訴你新加坡發了兩萬韓國發了9300美國也準備要發600塊美金等於是一萬八
transcript.whisperx[244].start 8201.487
transcript.whisperx[244].end 8223.503
transcript.whisperx[244].text 這是一個非常合理振興經濟擴充內需很重要的所以您的前任行政院長也說過蘇貞昌說普發現金振興券是怎麼樣呢他說是全民共享經濟美麗的成果陳建仁院長也說他可以促進內需市場
transcript.whisperx[245].start 8226.158
transcript.whisperx[245].end 8240.858
transcript.whisperx[245].text 認為可以刺激消費我們現在物價這麼高苦民所苦啊 苦民所苦啊發現金一個人一萬讓我們緩解物價高的一個壓力這是非常合理的一個財政紀律的分配
transcript.whisperx[246].start 8242.126
transcript.whisperx[246].end 8260.892
transcript.whisperx[246].text 財政紀律就是讓行政院必須舉債來完成這個法律但現在我是想繼續即時舉債如果國人這麼期待 大院這麼要求總統也已經公布法律聲明即時舉債 可以舉債但是一定要合乎憲法的程序我在努力尋求來解決這個困難
transcript.whisperx[247].start 8262.412
transcript.whisperx[247].end 8278.274
transcript.whisperx[247].text 把憲法程序紛爭解決完之後我們就可以依照現在生效的法律你的之後請教依法我們的三讀通過的條例總統公告他是十月底他是十月底要發放你會不會在十月底以前發放請教
transcript.whisperx[248].start 8278.815
transcript.whisperx[248].end 8299.216
transcript.whisperx[248].text 依照財主單位過去的經驗是有困難的不要說過去兩個月過去是行政院主張要發所以提前做很多的作業現在是大院突然加了這個作業我們沒有辦法提前做很多的準備工作馬政府發了消費券蔡英文總統發了兩次的振興券現金普發
transcript.whisperx[249].start 8301.886
transcript.whisperx[249].end 8321.6
transcript.whisperx[249].text 他們都可以 新加坡可以 韓國可以 美國也預計要發為什麼只有賴總統跟你 卓魁 你到現在拖拖拉拉我們要討論就要盡到理性來討論第一個要實在本期再次請教 法律通過總統府公告的總統公告的是10月底發會不會如期發
transcript.whisperx[250].start 8322.501
transcript.whisperx[250].end 8334.006
transcript.whisperx[250].text 會不會我們會努力在條例修正跟預算編列之後我們訂定一個可以執行的時間當然條例預算通過之後越快執行對行政院是越好好謝謝楊瓊英委員的質詢也謝謝卓院長備詢接下來我們請張祺凱委員質詢徐富奎委員請準備
transcript.whisperx[251].start 8372.843
transcript.whisperx[251].end 8400.772
transcript.whisperx[251].text 謝謝院長 請院長張委員好院長你去年剛上任的時候那時候名利滿利度是高的那時候有五成多六成對不對昨天TBS最新民調已經跌破三成了
transcript.whisperx[252].start 8403.284
transcript.whisperx[252].end 8428.28
transcript.whisperx[252].text 賴總統正式跌破三層你們兩個都創歷史上的新低總統變成一個28%的總統這個問卷特別在問你對這次的風災救災滿不滿意五成八的民眾不滿意而且非常特別我很少看到這樣的民調高達43%的民眾直接講非常不滿意
transcript.whisperx[253].start 8431.417
transcript.whisperx[253].end 8452.564
transcript.whisperx[253].text 所有東西痛定思痛這次風災到底出了怎麼樣一個問題我從災區過來跟阿姨叫台南的鄉親這段時間很多時候他們有提出哀求跟請求包括總統都曾經面對災民災民提了三大的哀求後來都沒做
transcript.whisperx[254].start 8453.578
transcript.whisperx[254].end 8479.169
transcript.whisperx[254].text 屋頂要人幫忙蓋 國軍要過去通信都不通 都沒有做所以今天要痛定思痛特別現在颱風又進來了 中台又進來了我先問你一個最直接的今天已經好幾個立委都問過你這個事了中央的前進指揮所應該什麼時候設立我等於自己沒有理由發現那個太嚴重了所以我就一直在呼籲
transcript.whisperx[255].start 8480.796
transcript.whisperx[255].end 8505.864
transcript.whisperx[255].text 他第一個禮拜我在呼籲說趕快設立中央的前進指揮所指揮所一定是在災區嘛 對不對結果你的發言人還出來他竟然造謠說過去的政府從來沒有為了風災設置了中央層級的前進指揮所院長是這樣嗎
transcript.whisperx[256].start 8507.096
transcript.whisperx[256].end 8519.375
transcript.whisperx[256].text 我是跟發言人講說我們第一時間全力的處理是風災之間地方政府跟中央應變中心之間的協調工作那事實上是過去的經驗都一直做下來像去年我們三個風災
transcript.whisperx[257].start 8520.882
transcript.whisperx[257].end 8540.972
transcript.whisperx[257].text 三個颱風我們也是用中央指揮中指揮應變中心跟地方做充分的配合那也是在迅速的完成中央一定有中央緊急應變中心你現在要設立了可是如果災情很大的時候當然前進指揮所就要進來以前八八風災是這樣天平也是這樣這是嚴不嚴重
transcript.whisperx[258].start 8541.892
transcript.whisperx[258].end 8556.4
transcript.whisperx[258].text 你剛才講這是非常嚴重對不對是嚴重你們是在台北睡著了還是在搞大罷免我們沒有睡著你們不曉得台南跟嘉義那麼嚴重為什麼前進值為什麼可以晚那麼多天我在7月6號江總遲了24天台風入境發布的前一天我就去到彰化跟雲林
transcript.whisperx[259].start 8557.561
transcript.whisperx[259].end 8572.738
transcript.whisperx[259].text 那颱風之後再不影響救災情況之下交通可通我就去到了南部各地所以我們認為上去年有三個颱風我們也沒有設置我們用中央疫苗中心可以處理的很好但是因為是一個整個月連續性複合性的災害所以才在7月30號
transcript.whisperx[260].start 8574.179
transcript.whisperx[260].end 8600.598
transcript.whisperx[260].text 緊急成立的中央應變中心也謝謝陳靜德政委發揮了很高的效率馬上就把該做的事情再後續補上來那這一點我們以後會檢討那是不是請陳靜德政委來做評價聽我講先聽我講我們中華民國的防災體系是非常完整的包括我剛才講的什麼時候要成立什麼時候要成立前進指揮所我等一下會很明確跟你講我現在在問你的是
transcript.whisperx[261].start 8601.738
transcript.whisperx[261].end 8611.775
transcript.whisperx[261].text 你已經設在秘書地嗎你的發言人怎麼可以講說以前從來沒有設置過中央層級的前進指揮所呢要更正這個消息
transcript.whisperx[262].start 8613.899
transcript.whisperx[262].end 8637.575
transcript.whisperx[262].text 要不要更正這個消息報告委 我回答一句就好這個指揮所是災後復原指揮所所以當然是災後的復原至於災害的當下應變救災是中央應變中心那麼中央跟地方都是依照法律規定第一時間就成立所以我在說明的是這個指揮所是災後復原的指揮所
transcript.whisperx[263].start 8638.335
transcript.whisperx[263].end 8657.132
transcript.whisperx[263].text 當然是災後就在那時候都不趕快成立你現在在成立這個這個是復原指揮所應變中心有應變中心那個院長我現在要求你明確的更正你的發言人的講法他說以前這是第一次嗎我給你看好不好來天平颱風的時候民國101年8月24號你看上面講的
transcript.whisperx[264].start 8666.821
transcript.whisperx[264].end 8692.654
transcript.whisperx[264].text 當天颱風一登陸行政院長陳聰馬上指示中央災害應變中心指揮官內政部長李鴻元在什麼地方成立前進指揮所屏東啊為什麼要成立這個一定是在災區嘛最嚴重在台南在嘉義一定要指揮所在那裡嘛今天在討論的院長現在我要跟你講的我要跟你講這個非常重要
transcript.whisperx[265].start 8693.513
transcript.whisperx[265].end 8709.87
transcript.whisperx[265].text 因為你現在已經痛定思痛的討論我剛跟你講已經跌破三層了那麼多民眾不滿意結果你在檢討的時候連一個什麼時候設立前進指揮所都不可以講清楚我們希望以後的颱風不要再起我們希望以後颱風不要再起可是如果哪個地方一直有馬上有出現狀況
transcript.whisperx[266].start 8712.192
transcript.whisperx[266].end 8731.859
transcript.whisperx[266].text 我們會全力的檢討剛剛委員講過一句話我們的救災機制是非常完善的所以我們現在救災機制的完善的底下在災害一發生的時候我們就是用中央應變中心來指揮調度協助各縣市這長久以來已經一段時間都如此了去年我們也是這麼辦那今年是因為屋頂毀損太多
transcript.whisperx[267].start 8734.732
transcript.whisperx[267].end 8760.651
transcript.whisperx[267].text 電訊系統毀損太多 我們要復原所以成立了剛剛金德政委所說的復原的前進指揮所就是因為災情太嚴重你跟人家早一點就要下去啊你要動員所有各個部會的這個力量啊跟人家帶你們鄉親去什麼事情有看到你們中央的觀點下去嗎我沒有下去嗎你除了去了幾次你為什麼沒有一個前進指揮所在那邊可以一直幫忙
transcript.whisperx[268].start 8762.792
transcript.whisperx[268].end 8788.184
transcript.whisperx[268].text 我們絕對不是說不應該成立前進指揮所是我們現在的救災機制是由中央應變中心來主持救災災害發生的時候那因為現在復原了才有現在這個復原的前進指揮所我們會檢討這個機制或許以後任何一個颱風是不是都需要這麼做我們來檢討這個機制但是中央應變中心的功能還是存在的剛講天平這個設立完做了什麼事情
transcript.whisperx[269].start 8789.4
transcript.whisperx[269].end 8815.713
transcript.whisperx[269].text 中央的部會首長要進去多年來我們應變中心的機制是存在功能的國防部 一定你看國防部派陸軍的副司令跟第四作戰區的指揮官前進指揮所動員多少官兵 1500個內政部的消防署 社會司救助的救難的全部要進去啊
transcript.whisperx[270].start 8817.253
transcript.whisperx[270].end 8842.32
transcript.whisperx[270].text 我剛才講這個制度很健全嘛所以為什麼這次民眾這麼不滿笑你們或者罵你們說是中華民國有史以來最爛的救災政府該做的沒有做嘛我們要回到理性國防部始終都進駐在中央應變中心這個就是我們現在的救災機制我們必須在這個機制底下往下去發展所以你還沒有醒來嘛你還不曉得說如果有災害的時候要趕快有個前進指揮所在第一線嘛
transcript.whisperx[271].start 8842.793
transcript.whisperx[271].end 8868.213
transcript.whisperx[271].text 你在台北去看天下我不想跟委員好像辯論說我覺得有中央應變中心就不要前進指揮所絕對不是這個誤會我們是依照現在的救災機制那有特別的需要了復原的時候我們就成立了復原指揮所那這個機制是不是合理完善可以檢討但不要誤會我說我今天在這裡講的是因為我們有中央應變中心我就拒絕成立指揮所不是這個意思所以不要誤會我願意來檢討這個事情
transcript.whisperx[272].start 8870.746
transcript.whisperx[272].end 8889.494
transcript.whisperx[272].text 來 院長我再給你看一下88風災的時候馬上在第一時間就成立了前進指揮手他一定也是設在中南部那時候各國的救難隊都來要到哪邊報到到前進指揮手去報到如果像你這一次這個請問救難的人要到哪邊去報到
transcript.whisperx[273].start 8891.825
transcript.whisperx[273].end 8913.565
transcript.whisperx[273].text 現在金德剛剛下去你現在想一下你現在才下去你如果是在摘風災的第一個禮拜就在那裡我在提醒這件事情 要有一個痛定思動去想這個事情第二個颱風隨時可能再來好不好先講這個事情來第二個也是很嚴重的事情
transcript.whisperx[274].start 8917.386
transcript.whisperx[274].end 8943.866
transcript.whisperx[274].text 嘉義郊台南的鄉親苦難還在現在進行時的時候你們的行政院災害防救中心的主任竟然跑出國了哪一位委員說的是哪一位你們的王怡文 王主任啊我們災防辦的主任
transcript.whisperx[275].start 8945.9
transcript.whisperx[275].end 8973.28
transcript.whisperx[275].text 齁 災防辦公室的主任災防辦公室的主任嗎 你不知道這件事喔那一定是因為公務出去吧公務 那個是什麼時候 第一個颱風整個重建跟搶救 我會調查清楚你說那個柱 那個柱 要再幾十萬幾十萬斤的柱 又還沒用好誰還在防救的這個階段第二個 還下大雨了 開始下大雨了好 我會調查清楚你的行政 他的主任沒在那你設這個災防辦做什麼我會調查清楚
transcript.whisperx[276].start 8974.405
transcript.whisperx[276].end 8997.826
transcript.whisperx[276].text 我會調查清楚這還沒調查過所以你還不曉得這個事情因為內部的請假沒有經過到我不是部會首長級不會到我這裡我會調查清楚這個時間點如果你的主任照出來這個合適嗎因為他去參加APEC會議參加APEC會議
transcript.whisperx[277].start 9000.407
transcript.whisperx[277].end 9027.257
transcript.whisperx[277].text 參加國際的會議比較重要還是現在你這個辦公室成立不就是要防災跟救助嗎兩個非常重要 我一直跟你講颱風的後遺症 包括屋頂都還沒修好垃圾也沒有處理好滿目倉儀的時候人民最需要你們幫助的時候 這是一個點第二個 因為我繼續下雨他在這個當頭跑出去開會很痛刺的 他去開會談什麼題目
transcript.whisperx[278].start 9030.429
transcript.whisperx[278].end 9047.545
transcript.whisperx[278].text 針對丹納斯颱風的因應的這個經驗還在救災中 而且牛步化民間已經 民間都已經退騰了你不留下來好好救災你還跑出去開會 還講一個錯誤的失敗的一個救災的這個經驗院長好好追查清楚 追究責任
transcript.whisperx[279].start 9054.008
transcript.whisperx[279].end 9078.767
transcript.whisperx[279].text 現在我知道他去參加這EPIC會議講話的內容跟委員剛剛所說的他也許就是用這個內容出去交換更多的經驗回來那是不是能夠得到實質的效果我會請秘書長來了解有沒有把會議當中所獲得的資訊拿回來做更多的協助不只是他啦前一任的這個主任行政院摘黃辦的這個主任吳武泰
transcript.whisperx[280].start 9081.752
transcript.whisperx[280].end 9107.836
transcript.whisperx[280].text 他還涉及不當場所性騷擾還被監察院彈劾這個非常非常重要每天應該都要栓井螺絲釘特別是有風災有大雨的時候一個前離任的被監察院彈劾一個現任的風災還在重建當中還在搶救當中跑出去出去參加公務會議這個可以
transcript.whisperx[281].start 9109.157
transcript.whisperx[281].end 9127.443
transcript.whisperx[281].text 跟委員解釋那我們可以檢討這個時機是不是適合業長我再問你另外一個你都有下去勘栽勘栽應該是最了解前線的在第一線應該是鄉鎮市長對不對是你下去你有去把鄉鎮市長找來嗎
transcript.whisperx[282].start 9129.502
transcript.whisperx[282].end 9157.106
transcript.whisperx[282].text 有的我們在後面幾天的行程我特別交代我們不做媒體的公開我們也不做現場的特別的什麼講話儀式只進行現代的瞭解所以這個就沒有通知地方所有的民意代表跟地方的首長那個新莊新莊的這個致紅池上面就光電板毀壞你知道嗎 那個致紅池誰管的
transcript.whisperx[283].start 9161.854
transcript.whisperx[283].end 9185.945
transcript.whisperx[283].text 我知道當場那個鄉長有到現場來結果你去看管理單位的鄉長你都沒有通知還是後來我去找他的那天我們兩個去泡豬泡豬喝水喝到嚴重泡豬起床你還不通知你知道他那邊為什麼出現因為我一早就發放漂白水一些物資他才知道你要去你們連第一線就是因為他跟你檔級不一樣嗎可以這樣嗎
transcript.whisperx[284].start 9187.165
transcript.whisperx[284].end 9215.447
transcript.whisperx[284].text 我後來幾天的行程我都不想通知媒體跟通知地方首長因為我覺得大家在救災第一辛苦 第二怕影響他沒有很多事情要跟你反映啦來啦 我跟你講這個鄉長黃正哲他在鄉長那裡怎麼說他那時候後來本來要給你陳情書你來不及我後來我轉過去給你了他講了一段話你看一下他講了把我硬頂皮部會首長去真正要關心的是附近工業區的跟中小企業跟農漁民跟平民百姓
transcript.whisperx[285].start 9217.598
transcript.whisperx[285].end 9245.237
transcript.whisperx[285].text 經濟部長也去看光電板損壞的 你也去像隔台幾天 高業平總就在忙你們可以去看光電板損壞的可是為什麼不多一點時間去關心工業區去關心中小企業 關心農藝民 我可以把那天的行程拿出來給委員看我們不是去看這個點 是一整天排了很多這是其中的一點到兩個點看光電板只是兩個點而已其他的都是在看其他相關的我做個總結
transcript.whisperx[286].start 9246.878
transcript.whisperx[286].end 9271.744
transcript.whisperx[286].text 其實啦 這邊的風災牛步化造成了真的是對不起嘉義跟台南還有災區的這個民眾如果是在 災民已經跟總統當面哀求他提了三大哀求第一個 我防止屋頂被吹走了都有在修繕的請幫忙 請幫忙覆蓋總統 說我們要自己爬第二個 希望國軍來協助國軍有協助
transcript.whisperx[287].start 9274.92
transcript.whisperx[287].end 9290.567
transcript.whisperx[287].text 國進來協助嗎那第五天為什麼災民還必須講要國進來表示表示前面沒有嘛對不對後面有嗎我們第一天就請國進協助後面一直到大雨的時候才開始來嘛對不對你們中間中斷了多少時間這個災民已經越生再到了你們現在還不清楚
transcript.whisperx[288].start 9294.326
transcript.whisperx[288].end 9319.508
transcript.whisperx[288].text 通電不通 我跟你講 剛剛講這件事情 都是出了人命所以總統現在在當天馬上回禮 馬上一休一休 過世了通信不通沒有處理好 受傷了 電話打不出去 人類不是在那裡守來不及 人家不可以救出這個東西還有一個 因為停電了 在家裡有點大事 上次在那裡
transcript.whisperx[289].start 9334.529
transcript.whisperx[289].end 9339.131
transcript.whisperx[289].text 好 謝謝謝謝 謝謝張綺凱雯子昀謝謝 崇院長 相關部會首長的備詢 謝謝
transcript.whisperx[290].start 9357.554
transcript.whisperx[290].end 9383.054
transcript.whisperx[290].text 好 接下來我們請登記第七號徐富奎委員質詢張家俊委員請準備謝謝主席 我們有請左院長還有陳政委麻煩再請左院長 陳政委備詢
transcript.whisperx[291].start 9393.942
transcript.whisperx[291].end 9398.115
transcript.whisperx[291].text 徐院長好院長好 政委好大家辛苦了
transcript.whisperx[292].start 9399.051
transcript.whisperx[292].end 9427.14
transcript.whisperx[292].text 我想院長我印象很深刻去年我們也遭逢了好幾個颱風院長也有特別到屏東尤其是山陀爾颱風造成屏東一些農損還有特別是我們仿寮大莊的海堤破損在院長的指示下我當場也要求我們水利署在今年4月份我們已經把破損的海堤修補完成
transcript.whisperx[293].start 9428.4
transcript.whisperx[293].end 9443.028
transcript.whisperx[293].text 沿岸的離岸體的部分也加高加寬所以我想經過這一次的颱風我想我們的鄉親都很安心這點也是我特別要跟院長說明的院長過去因為我們
transcript.whisperx[294].start 9444.528
transcript.whisperx[294].end 9470.624
transcript.whisperx[294].text 中央我們有災害應變中心跟災防辦我們縣市政府也有成立指揮中心我們的公所當然我們飛六都也有鄉鎮公所的一個編制從中央到縣市政府到鄉鎮公所的一個針對災害的一個防救的一個整合的一個系統我想過去我們也演練了很多次也應對了很多次但是這一次當然我們還是有發現一些
transcript.whisperx[295].start 9473.585
transcript.whisperx[295].end 9499.999
transcript.whisperx[295].text 這個我們應該可以來做一個檢討當然我們是希望大家都沒有希望這個有天災的發生但是一旦造成的時候怎麼樣用最快的速度來處理這個災害的傷害讓我們的鄉親能夠早日重建家園我想這個目標應該是院長同意這個說法院長我想我們看一下我們隔壁的日本最近石泡沫
transcript.whisperx[296].start 9501.11
transcript.whisperx[296].end 9501.96
transcript.whisperx[296].text 是破茂的首相
transcript.whisperx[297].start 9502.486
transcript.whisperx[297].end 9530.602
transcript.whisperx[297].text 他宣佈在6月6號宣佈在2026年要成立一個防災廳應該是他也有感於這個我們現在極端氣候的一個影響那院長我知道當然我們目前我們各部會都有針對防災有一個因應的一個作為但是有沒有可能針對這樣的一個極端氣候像我們屏東上禮拜一禮拜就一年的候量啦非常的恐怖有沒有辦法針對這樣極端氣候我們未來成立一個防災部的一個專責單位來因應這樣的一個挑戰
transcript.whisperx[298].start 9531.73
transcript.whisperx[298].end 9550.723
transcript.whisperx[298].text 是 報告委員經過這麼多年來數次的不管是颱風 地震或是大型的災害我們累積的救災的經驗我們現在已經完整把它放在包括中央跟地方的應變中心跟所有的防救災機制裡面我們也訓練了很多的防災室也成立了很多的自主社區
transcript.whisperx[299].start 9551.764
transcript.whisperx[299].end 9562.684
transcript.whisperx[299].text 那這個是限制的如果現在真的因為應變這個極端氣候大家認為不足還有進一步的規劃行政院願意來做這樣的討論甚至我們請政委就
transcript.whisperx[300].start 9563.574
transcript.whisperx[300].end 9588.599
transcript.whisperx[300].text 這個前進指揮所現在的經驗跟中央應變中心之間的關係我們做這樣的討論未來把它形成一個更強韌堅固的防災體系謝謝委員提出這樣的國外有好的經驗我們當然願意來學習那政委就是最近您自己到雲嘉南救災的經驗覺得有哪邊部分是真的我們可以再強化的部分像屏東去年的風災那個土堤有破損
transcript.whisperx[301].start 9589.82
transcript.whisperx[301].end 9608.229
transcript.whisperx[301].text 這個是行政院會責成公共工程委員會開立專案接受各有災損公共設施的縣市政府提報經過審議之後使用特統會協助各縣市來把這個災損做好
transcript.whisperx[302].start 9608.989
transcript.whisperx[302].end 9634.498
transcript.whisperx[302].text 這一次因為是受損的戶數太多了比方說三四萬戶的民宅它的屋頂或者牆壁受損因為老舊房屋所以才特別來訂定特別條例特別預算來協助修復我剛才說的是前進指揮所是災後復原的前進指揮所進駐當地
transcript.whisperx[303].start 9635.838
transcript.whisperx[303].end 9651.608
transcript.whisperx[303].text 在風災後趕快來協助重建但是這一次因為颱風之後連續幾天都是西南氣流 都是大雨所以在那個情況之下說要去做屋頂等等都是相當困難
transcript.whisperx[304].start 9652.368
transcript.whisperx[304].end 9673.064
transcript.whisperx[304].text 還好是有很多志工或者是其他的團體去協助簡單的蓋一下帆布所以並不是說行政院指揮所設立太慢因為事實上每個風災在每個地方政府台南市、嘉峪市它自己就會成立一級的災防應變中心
transcript.whisperx[305].start 9673.624
transcript.whisperx[305].end 9703.304
transcript.whisperx[305].text 那這個災防應變中心裡面國軍同樣是在縣市政府的災防應變中心裡面本來就有協助說不會說有太慢的問題所以我們特別跟這個委員來報告如果說屏東的部分等這個特別條例通過之後那麼在依據受損的狀況我們就簽請院來核定做這個災區的宣告那就可以應用這個特別預算
transcript.whisperx[306].start 9704.264
transcript.whisperx[306].end 9722.015
transcript.whisperx[306].text 來進行相關的災損的復原我想這邊我也跟院長報告啦我們一定來進行特別條例啦因為我想我們要怎麼樣強迫我們整個防災的一個韌性我想特別條例我們一定還有多少做不到的地方我們希望藉由特別條例來強迫我們一個防災的一個需求
transcript.whisperx[307].start 9722.635
transcript.whisperx[307].end 9739.192
transcript.whisperx[307].text 那政委請問 院長那我想我還是要針對屏東的一些需求部分要給院長請命你也是我們鄉親的基台院長我想我們過去這個我們治水有八年八百億 六年六百億那在這十幾年的時候 屏東縣
transcript.whisperx[308].start 9740.173
transcript.whisperx[308].end 9756.967
transcript.whisperx[308].text 因為我們很積極在爭取這樣一個治山防火的預算所以我想經過這幾年我們看得出來我們不說完全沒問題但是這個淹水的問題已經大幅改善但是還是有一些地方仍顯不足比如說像是
transcript.whisperx[309].start 9757.808
transcript.whisperx[309].end 9775.457
transcript.whisperx[309].text 院長 我在意的部分那天我們去訪寮你也看到我們沿海離岸體很假因為這個都已經做了很久那個浪一打上來根本都沒有達到沒辦法達到一個防護的功能我當時我也要求我們水利署
transcript.whisperx[310].start 9776.104
transcript.whisperx[310].end 9792.619
transcript.whisperx[310].text 應該要全面檢視我們沿海地區的一個離岸體的一個設置甚至要加高加固但是目前只有看到這部分而已是不是因為經費用到的關係我想這部分院長應該要特別再交辦一下我想這個是海岸防衛韌性很重要的一環
transcript.whisperx[311].start 9793.78
transcript.whisperx[311].end 9811.972
transcript.whisperx[311].text 那第二個部分就是針對我們這個這個抽水機的部分因為我們有移動式的抽水機就是要因應這個不同的區域但是我們抽水機也免線很舊了有些需要汰換那還有一些固定式的抽水站那因為過去的設計的CMS量不夠大
transcript.whisperx[312].start 9812.512
transcript.whisperx[312].end 9832.649
transcript.whisperx[312].text 那我們也提出一個汰換的計畫但是因為卡到這個預算的問題院長這邊是不是可以承諾給水利署最大的支持這補充也在那我們正在優先處理離岸體跟抽水站抽水機的汰換問題好 謝謝委員從過年8年810 6年610到前瞻基礎建設我們確實改善了一些地區
transcript.whisperx[313].start 9833.59
transcript.whisperx[313].end 9850.39
transcript.whisperx[313].text 程度已經慢慢的在下降但沒有辦法全然改善所以今年我們系統性治水從淨流分擔 出流管制以及在地製洪三道策略來做希望水從河川出來的時候我們有第二道防線不要進到社區另外
transcript.whisperx[314].start 9851.191
transcript.whisperx[314].end 9874.791
transcript.whisperx[314].text 內水要能夠出去所以要加強這個抽排的能力抽水機 抽水站更加強到出海口讓內河能夠出去這個是今年該做的但是我們看到這樣子還有很多屬於末端的縣市館的甚至野溪大型的目前還沒有辦法整治所以經濟部水利署已經提出了一個四年一千億的縣市館河川改善計畫
transcript.whisperx[315].start 9875.934
transcript.whisperx[315].end 9897.738
transcript.whisperx[315].text 那個計畫我希望能夠補過去這一段時間做的工作的不足能夠把這些內水能夠排得出去抽水機抽水站能夠把它加強加多加大同時我們現在系統性治水能夠更有效率來執行那我希望達到的效率就是最小的淹水面積最快的退水時間最高的安全標準
transcript.whisperx[316].start 9898.833
transcript.whisperx[316].end 9920.499
transcript.whisperx[316].text 我剛剛舉的那個例子就是剛剛院長提的我們現在平原很多的水是滴到來滴三天啦 尤其山區下了兩千多公里的水那過去我們就發現到山區下來因為我們現在管轄的單位從上游 中游 下游都不一樣那我們過去因為各唱各的調
transcript.whisperx[317].start 9921.809
transcript.whisperx[317].end 9934.547
transcript.whisperx[317].text 這些上游有可能林務局也好或是這個水保署也好他們做了一部分中游有可能是我們中央管的河川甚至我們這個縣管的河川到下游有農田水利會的
transcript.whisperx[318].start 9937.49
transcript.whisperx[318].end 9965.921
transcript.whisperx[318].text 對 農水署還有縣政府的管理的一些甚至一些是鄉鎮公所那造成大家在整治計畫沒辦法做一個完整性的一個治理計畫這到一半 有的地方垮 有的地方黑根本達不到所謂一個防洪排洪的一個效果我真的覺得這個我們要痛病思痛院長 有沒有辦法做一個專責的一個集單位來列管這個案子真的把這樣的一個從山上到平原到除外口整個整治計畫能夠做一個完整的配套
transcript.whisperx[319].start 9966.701
transcript.whisperx[319].end 9983.95
transcript.whisperx[319].text 我們在水利署 經濟部水利署跟農業部的農水署都是這樣的專責機構那從七種性試水已經從這個源頭的山區的這個演習部分開始來整治那我剛剛提到的未來四年一千億的預算那是針對縣市館河川
transcript.whisperx[320].start 9985.931
transcript.whisperx[320].end 10008.001
transcript.whisperx[320].text 改善計畫我們過去做的比較中央管理的核酸縣市管理核酸都是縣市來做申請東方來補助我們希望這一次能夠用中央集體的力量把縣市管理核酸也一併把它改善納入整個系統性治水當中銜接過來希望能夠解決目前在遺留的這些問題院長我們最近也發現有一個很不錯的一個治理的計畫叫做治洪池
transcript.whisperx[321].start 10008.888
transcript.whisperx[321].end 10024.525
transcript.whisperx[321].text 在地滯洪因為我們發現因為我們的水量一下子沒辦法去把它阻擋直接會到我們的城鎮造成淹水問題如果我們在鄰近找一個比較寬闊的地方先做一個滯洪池再用稠水的部分把它處理掉
transcript.whisperx[322].start 10025.146
transcript.whisperx[322].end 10048.986
transcript.whisperx[322].text 那這個成效是非常非常的大那我們目前屏東也有好幾個自融池都已經做好了那也謝謝中央的支持但是我覺得我還是要再提一次大潮州人工湖的必要性這是尤其是對我們整個屏東這個是能夠續航水量也是達到一個防洪很重要的一個案子那這個案子因為一直在審理這部分人問請院長要支持這一定要做啦 這要重要啦
transcript.whisperx[323].start 10050.165
transcript.whisperx[323].end 10057.551
transcript.whisperx[323].text 好的 謝謝這個委員我們積極把它納入未來的計畫當中因為第一期已經完成了第二期真的院長上次我們去談過了 對 謝謝
transcript.whisperx[324].start 10060.348
transcript.whisperx[324].end 10085.266
transcript.whisperx[324].text 因為陳部長也來我接著就是要講農損的問題我知道你很緊張在處理這段時間我也一直跟你打電話有在聯繫一些事情但是我們現在還是有發現到這個谷泥我們山坨的時候速度很快但是近年我發現可能大家顧慮的層面比較多有時候在這個勘栽公告這個程序上面
transcript.whisperx[325].start 10086.007
transcript.whisperx[325].end 10113.076
transcript.whisperx[325].text 都會有比較多的考慮啦所以變成今天說到這個某一個鄉鎮單一作物這個鄉鎮有別的作物事實上這個作物是跨區的很多地方都沒有我們鄉親就在問說為什麼只有那一區有我整個怎麼會沒有我真的是建議說如果真的是災害是屬於大規模的農損應該是不是考慮用全區全品項的方式讓我們的這個基層的同仁也有一個遵循的依據
transcript.whisperx[326].start 10114.304
transcript.whisperx[326].end 10143.684
transcript.whisperx[326].text 部長你回答一下好不好我跟委員報告因為最主要是屏東最主要是大嶼的部分我們第一次做主動公告已經比過去的一般地方政府來至少省了七天左右我們在主動公告的時候會跟輕重緩急有關就是說靠近山區的部分我們會做第一波的公告然後頂多差一天或兩天才會延伸到平地有一些可能淹水的部分這個部分我想
transcript.whisperx[327].start 10144.364
transcript.whisperx[327].end 10159.893
transcript.whisperx[327].text 如果造成農民覺得說義務利益說有沒有開放那後續我們會再來改進但是全品項的開放可能要他的天氣的參數或者是他的災困的情況達到一定程度以後才會去用全品項來公告
transcript.whisperx[328].start 10161.818
transcript.whisperx[328].end 10180.215
transcript.whisperx[328].text 院長部長 我想我還是要提醒就是說因為我們現在有可能是不是單一的一個作物或單一個的時節我們現在很多叫做重複性甚至叫磁發性的一個災害這我們的同仁也很辛苦啦這個有時候民意代表常常要約我們相關的農政單位的同仁不是在會堪啦
transcript.whisperx[329].start 10180.635
transcript.whisperx[329].end 10200.275
transcript.whisperx[329].text 那大家又要做這個後續的一些行政作業的處理真的是對大家真的都很辛苦我是建議說大家能不能還是那個原則從寬從速從簡這個標準之下能夠去簡化一些流程讓鄉親能夠趕快去復耕趕快重建家園這個部分我想這個部分真的農業部還是要來做一下檢討啦
transcript.whisperx[330].start 10201.482
transcript.whisperx[330].end 10222.128
transcript.whisperx[330].text 尤其 伯定我也是要跟你提醒我們整個APP的那個下載真的太低了啦你要叫這些東北市都要用APP真的很困難啦然後第一線的鄉鎮公所他們都要等到我們上面確認之後才能夠開始去申報這個對農民也是很吃虧的一點啦能不能去整合這個平台 伯定
transcript.whisperx[331].start 10223.061
transcript.whisperx[331].end 10237.571
transcript.whisperx[331].text 我跟委員報告我們現在的平台就是說後續有一些我們包括我們主動用航照拍攝的那如果說它已經有一個很明確的災損我們放在後台所以我們現在跟後台的工作做借接
transcript.whisperx[332].start 10238.211
transcript.whisperx[332].end 10266.971
transcript.whisperx[332].text 那公所在申請的時候他有時候如果農民沒有辦法拿APP的相片的時候那我們也可以主動提供一些我們所掌握的資訊給他們那這樣的話就可以能夠加速他的一個審核能夠不到現場去能夠從照片上看得出來的話盡量去處理但是公所本身的同仁有時候會擔心沒去看他會緊張啦所以這個部分我們已經在法裡面規定了可以用科學的依據提供相關的災損的認定
transcript.whisperx[333].start 10269.943
transcript.whisperx[333].end 10298.879
transcript.whisperx[333].text 我想時間關係最後一個問題就針對台電的問題這一次風災我們看到電感受損非常嚴重剛剛看那個王定樂有特別提醒平二公路我們就是因為做了一個電纜地下化的一個工程所以恆春半島這幾次經過風災都沒有受到影響但是我們沿海鄉鎮包含這個容易受清洗颱風清洗的一些縣市我想電纜地下化一定是要刻不容緩要進行
transcript.whisperx[334].start 10324.764
transcript.whisperx[334].end 10324.784
transcript.whisperx[334].text 好 謝謝
transcript.whisperx[335].start 10329.414
transcript.whisperx[335].end 10353.899
transcript.whisperx[335].text 好 謝謝徐富奎委員的質詢謝謝卓院長 相關部會首長的備詢 謝謝卓院長喝口水吧你喝完水我就好接下來我們請張家俊委員質詢奈會委員請準備
transcript.whisperx[336].start 10359.83
transcript.whisperx[336].end 10362.24
transcript.whisperx[336].text 謝謝院長我強請卓院長麻煩再請卓院長
transcript.whisperx[337].start 10367.199
transcript.whisperx[337].end 10390.989
transcript.whisperx[337].text 主任長辛苦了那自己這一個多月來我想您也多次的到現場去看災業了解目前災區的一些需要那包括所有基層救災防災的人員的辛苦我想您都看在眼裡那我想給您看幾個照片你看這個是我們雲林林內平頂的路段
transcript.whisperx[338].start 10392.133
transcript.whisperx[338].end 10405.123
transcript.whisperx[338].text 有看到嗎是不是斷的這個肝殘寸斷Y7 扭8您覺得這是不是應該要緊急搶修呢是不是應該要有趕快做出變道絕對影響到
transcript.whisperx[339].start 10408.188
transcript.whisperx[339].end 10421.3
transcript.whisperx[339].text 人民的安全如果有產業的話也影響到產業的進出沒錯 所以這影響到了人民的安全還有他們的生計但是呢這些路段都在於八色鳥保護區
transcript.whisperx[340].start 10422.563
transcript.whisperx[340].end 10441.421
transcript.whisperx[340].text 所以依照野生動物保育法他必須要林業署同意他才可以施作他甚至都不允許他可以去做變道所以這些產業道路到現在為止都必須要公文往返您知道去年凱米颱風
transcript.whisperx[341].start 10443.274
transcript.whisperx[341].end 10459.943
transcript.whisperx[341].text 因為這個公文往返要好幾個月超過半年所以他都沒有辦法整治啊是不是可以拜託院長責成農業部林業署針對災後的搶修不要再往返這些公文了因為他不是新的開發區啊
transcript.whisperx[342].start 10461.204
transcript.whisperx[342].end 10480.094
transcript.whisperx[342].text 他不是說我要在這裡做一個重新的開發他只是為了要修路讓農民可以通過甚至住在山裡面的這些民眾能夠安全的回家是不是可以拜託卓院長責成他們說盡速的趕快不要再流程好幾個月你看這些災民怎麼辦呢
transcript.whisperx[343].start 10481.779
transcript.whisperx[343].end 10502.736
transcript.whisperx[343].text 請部長來說明跟協助我謝謝委員提供這樣的資訊我想林保署有關於林保署所挾的這些林產業道路的部分我一定會要求他們就是盡快的搶通如果都那邊有居民的話一定要先有變道行程這個部分我想我們回去再梳理如果禁訴大概是多久因為上一次你跟我禁訴也拖了好幾個禮拜
transcript.whisperx[344].start 10503.877
transcript.whisperx[344].end 10517.493
transcript.whisperx[344].text 不是 那不一樣的案例那是去年啊對 不一樣的案例對 不一樣的案例但是那也拖了好幾個禮拜甚至好幾個月委員 我想這個部分因為他們牽涉到後面的勘察以後還要規劃
transcript.whisperx[345].start 10518.834
transcript.whisperx[345].end 10545.105
transcript.whisperx[345].text 我的意思是說你要先給他變道嘛你要勘察你要規劃這個我都支持因為你要做一條安全的路嘛但是你不可能就讓他放著這樣子好幾個月我想先用變道的方式讓農民可以通然後後面路的部分照他們的進度去做規劃這個我想我回去再交代部長拜託你今天就要趕快下命令趕快讓他們去做變道否則這個繼續下去如果有農民又不小心掉下去
transcript.whisperx[346].start 10545.885
transcript.whisperx[346].end 10555.552
transcript.whisperx[346].text 如果不小心有任何的傷亡誰來負責呢可以嗎 院長對 這個我們可以來處理院長 你可以公開的指示農業部盡速的來完成這個嗎
transcript.whisperx[347].start 10557.089
transcript.whisperx[347].end 10583.444
transcript.whisperx[347].text 現在我想沈部長看到這個他一定會主動來處理這個事情那我會再跟部長好好的來研究如何加速來進行是 特別拜託院長那下一張下一張你看這個邊坡你知道站在那上面的時候像一個懸崖這是去年楷米颱風走山的樣子它上面在懸崖的最上方都是屋子那屋子是可能差幾十公分就要全部掉下來了
transcript.whisperx[348].start 10584.565
transcript.whisperx[348].end 10609.312
transcript.whisperx[348].text 到現在因為要走這個流程因為要走這個八色鳥保護區的流程然後還要做這個審查流程 工程流程到現在還沒有辦法做所以我也希望說不要明年的這個時候我還要再拿出這些照片來給院長看說沒辦法做那這些人民他們欲哭無淚啊
transcript.whisperx[349].start 10610.28
transcript.whisperx[349].end 10635.763
transcript.whisperx[349].text 我跟委員報告就是我們在做整個大規模崩塌的這個防治的時候大概我會說因為是保護區你保護區的開發限制應該是針對開發案啊你怎麼會針對災後搶修呢這是一個重點就是說你要自己內部要修改啊你不能去年跟你講你說你要改今年再跟你講你也說你要改到底什麼時候要改這是我第一次
transcript.whisperx[350].start 10637.467
transcript.whisperx[350].end 10640.177
transcript.whisperx[350].text 你上次來我辦公室我親自拿給你的
transcript.whisperx[351].start 10641.38
transcript.whisperx[351].end 10668.019
transcript.whisperx[351].text 你還跟我說好好好的確那個時候有幫忙但是已經比你的幫忙已經比本來的時候快了我沒有要在這裡跟你爭論這個我們的大規模崩塌我們不會因為保護區就比較慢我們會積極的做的確是比較慢因為沒有經過你知道那個根本地方政府公所他不敢去改變到因為林務署沒有同意沒有同意
transcript.whisperx[352].start 10668.96
transcript.whisperx[352].end 10677.202
transcript.whisperx[352].text 沒有廠商敢去做 你知道嗎所以這個是一個很大的問題院長 拜託您我不需要在這裡跟部長爭誰對誰錯問題是 災民他就沒有受到幫助嘛他就現在出入不安全嘛你現在是要在這裡跟我爭論你沒有責任嗎絕對不是這樣子我接下來要問的是水利問題
transcript.whisperx[353].start 10692.245
transcript.whisperx[353].end 10718.506
transcript.whisperx[353].text 我接下來想要跟院長反映一個我們雲林地方的問題就是我們大湖口溪淹水的情況非常嚴重這一次大湖口溪治理我想要呼籲就是不能夠頭痛醫頭 腳痛醫腳水利署其實是一個我非常敬重的單位他們很有專業 有經驗理應要通盤檢討結果今年的7月12號
transcript.whisperx[354].start 10719.847
transcript.whisperx[354].end 10741.254
transcript.whisperx[354].text 他們發了一個新聞稿 到現場去看到現場去看沾沾自喜的發文說花了12億加高提房結果不到半個月不到半個月就淹水了而且是本來沒有做沒淹水喔做完了之後大淹水喔您覺得這樣子能夠向居民交代嗎
transcript.whisperx[355].start 10743.519
transcript.whisperx[355].end 10767.707
transcript.whisperx[355].text 請部長說明是 報告委員 我想這個目前的這個我們雖然已經進度來到90幾個%但是還是最後的那個部分還沒有完成時間的部分但是我們在處理我們都一直在處理但是因為這個啟動的時間在過去那比較慢一點但是颱風這個時候來我們也只能努力
transcript.whisperx[356].start 10768.787
transcript.whisperx[356].end 10795.501
transcript.whisperx[356].text 我沒有說你們不努力說實在水利署是很努力但是我的意思是它這個是中央管河川這個大湖口溪是中央管河川它要花這12億它難道不用通盤檢討嗎它難道不用通盤檢討說它如果增高堤防它花了12億增高堤防它外水增高壓力增大它整個外水倒灌進去從這個湘涵
transcript.whisperx[357].start 10797.162
transcript.whisperx[357].end 10820.209
transcript.whisperx[357].text 倒灌進去市區結果沒有加高不淹水加高了之後外面壓力增大它整個回堵倒灌整個斗南市區都淹水這個南道水利署在想要加高的時候都沒有計算過說它外水加高的時候會增加多少壓力它必須建議說要做一個水閘門在這裡嘛為什麼不做通盤檢討呢
transcript.whisperx[358].start 10821.229
transcript.whisperx[358].end 10831.197
transcript.whisperx[358].text 怎麼會一下坐這裡然後出現問題再坐那裡呢是 報告委員我想我們都會通盤檢討過去的計畫事實證明他就是沒有通盤檢討才發生這個問題的嘛這個問題說實在蓋這個水閘門多少錢你知道嗎蓋這個水閘門可能幾百萬就做起來了
transcript.whisperx[359].start 10838.783
transcript.whisperx[359].end 10858.61
transcript.whisperx[359].text 可是因為水利署他沒有通盤檢討他花了12億加高了兩邊堤防很棒 這個我也感謝他們但是怎麼會在加高堤防的同時你不去想說你外面的壓力增高他有可能會倒灌舉一個例子五緯鎮蓋西安抽水站的時候
transcript.whisperx[360].start 10859.17
transcript.whisperx[360].end 10886.472
transcript.whisperx[360].text 它因為是用向下打出去的它也因為外水壓力過大本來沒有做那個抽水站都不淹水一做了之後整個河水倒灌湖尾鎮都淹水這是同樣的道理啊所以我現在要講的是說103年完成了這個湘寒到目前為止到今年為止從來都不曾發生過這樣子嚴重淹水的問題結果今年完成堤防加高之後
transcript.whisperx[361].start 10887.233
transcript.whisperx[361].end 10901.389
transcript.whisperx[361].text 就馬上倒灌淹水了這樣子的規劃不僅讓地方的民眾受苦而且還要地方政府額外去負擔經費這到底是誰的問題而且所有的工程計畫都要中央審核
transcript.whisperx[362].start 10902.21
transcript.whisperx[362].end 10927.217
transcript.whisperx[362].text 中央才是內行人啊所以要麻煩院長還有部長要責成相關的單位要通盤檢討之外還要有審慎的規劃這個不是說推給誰就行的不是說推給縣府推給公所就沒事了這個治水計畫還是要繼續就好像剛才院長講的我也很感動啊他覺得說要趕快再有一個新的治水的特別預算趕快來解決這些問題
transcript.whisperx[363].start 10928.697
transcript.whisperx[363].end 10948.897
transcript.whisperx[363].text 那我現在不是要究責任何人我是說我們要趕快解決問題是不是大家一起來解決問題包括內政部現在假設是內水排不出去的話如果這個加了水門那內水排不出去內水歸內政部管是不是可以在這旁邊加蓋一個簡易的抽水站
transcript.whisperx[364].start 10950.218
transcript.whisperx[364].end 10969.049
transcript.whisperx[364].text 讓他可以把內水抽出去這個部分是不是內政部長也可以關心一下這個設計當初的這個食雨量的設計沒有到實際發生的時候那個食雨量這麼大我跟你說他這個設計是夠的他今年沒有議題他加高了之後
transcript.whisperx[365].start 10970.188
transcript.whisperx[365].end 10989.158
transcript.whisperx[365].text 我現在的意思是說它的設計沒有問題它的問題出在於它沒有通盤檢討它沒有發現說它沒有發現你不要幫我們解釋降雨的那個量我跟你說它有符合它今年有符合它這個加了之後的確是
transcript.whisperx[366].start 10990.532
transcript.whisperx[366].end 11007.252
transcript.whisperx[366].text 外水沒有液體出來他做的沒有問題他做的問題是在於他沒有通盤檢討他沒有發現說他水壓加高會造成倒灌所以變成是你未來要做的你必須要通盤檢討要做下來所以我希望說院長 部長
transcript.whisperx[367].start 11008.613
transcript.whisperx[367].end 11025.428
transcript.whisperx[367].text 是不是可以責成這個水利署坐下來好好再做一個覆盤報告委員我要求水利署跟經濟部做三件事情委員是否同意第一個檢討這次為什麼會淹水的原因把它檢討出來這次為什麼淹水第二個
transcript.whisperx[368].start 11026.228
transcript.whisperx[368].end 11042.465
transcript.whisperx[368].text 馬上來解決這次淹水原因如果要增加閘門增加什麼事是馬上來做這個還有那個內水戳出去的那個第三個整個系統再來檢討一次當初做的這個加高提案雖然是很好那有沒有忽略了其他的地方或是哪裡不足我想三個層次來處理好不好
transcript.whisperx[369].start 11043.566
transcript.whisperx[369].end 11063.392
transcript.whisperx[369].text 好 拜託院長謝謝 院長你這樣子的態度我想我們所有的災民都會非常感謝你我們這個問題希望可以儘速的得到一個回應是不是看這個禮拜之內水利署可以盡快的到雲林來然後來解決這個問題我們請署長或是代理市長到現場再馬上看一次 謝謝這個問題我們會根據院長的指示馬上處理
transcript.whisperx[370].start 11068.853
transcript.whisperx[370].end 11096.983
transcript.whisperx[370].text 好 謝謝那我也再想要給院長看一下下一個PowerPoint就是這個PowerPoint其實這個出來的時候我真的嚇一跳行政院的第一個版本裡面這一次丹納斯颱風雲林受損那麼嚴重竟然第一個版本裡面區域沒有包含納入雲林線那經過本席提醒之後趕快用紅字再加上雲林線等縣市
transcript.whisperx[371].start 11097.583
transcript.whisperx[371].end 11116.313
transcript.whisperx[371].text 其實為什麼我會那麼緊張因為我們很擔心很擔心說假設你風災的災區範圍沒有寫到雲林縣到時候560億我們如果一毛都分不到怎麼辦呢所以院長我在這裡提醒您真的災民
transcript.whisperx[372].start 11117.654
transcript.whisperx[372].end 11138.453
transcript.whisperx[372].text 跟我一樣 我們都很煩惱的想說 你知道嗎我們也很不願意受災啊我們也很不願意受到這個農損結果一看到說行政院的那個災後特別條例近年不穩我們這樣陷到這麼嚴重你又親身去看你又 總統也親身去看是不是這個以後要
transcript.whisperx[373].start 11139.053
transcript.whisperx[373].end 11144.497
transcript.whisperx[373].text 特別提醒行政院要重視一下不然很煩惱我也繼續請問院長重建條例編了560億這筆預算會怎麼樣在農業水利交通社會復原等項目之間分配呢
transcript.whisperx[374].start 11156.778
transcript.whisperx[374].end 11169.75
transcript.whisperx[374].text 分配的數我們現在在核算當中就是出現561的總數那如果條例通過之後我們會另外送一個特別預算請大院來審議那個時候通過特別預算才會是具體執行的
transcript.whisperx[375].start 11171.141
transcript.whisperx[375].end 11189.415
transcript.whisperx[375].text 了解那雲林在這個農損農業損害中的這個佔比是全國的前段班喔大概算起來農業災損是排名全國第二那是否會以這個損失的比例作為一個資源分配的依據呢一定是以實際自災發生損害的受災情況來經過認定之後由農業部來彙整那經過
transcript.whisperx[376].start 11197.372
transcript.whisperx[376].end 11205.489
transcript.whisperx[376].text 整個特別預算的籌編來進行到裡面讓我會希望會達到一個最大的照顧最廣泛的照顧而且最實際的照顧
transcript.whisperx[377].start 11206.423
transcript.whisperx[377].end 11228.84
transcript.whisperx[377].text 這一點要特別拜託院長關於農業部的問題待會我再繼續提醒您因為我們也覺得受到不公平的待遇那我先針對這個預算分配幾點建議之後我們再來討論農業部的問題那就是有關於這個特別條例如果通過之後呢是不是農業救助跟其他的工程項目它是不一樣的
transcript.whisperx[378].start 11230.741
transcript.whisperx[378].end 11257.787
transcript.whisperx[378].text 農業復耕它是有黃金時期它是你這一週你下一週你這個節氣沒有種下去其實它的收成就影響了那會大幅的把它的產值品質都下降可不可以承諾有關於農業復耕的這個補助條例通過之後一週內甚至兩週內先撥款給農民因為復耕這件事情不是說他今天想種就可以種他必須照著那種節氣來種
transcript.whisperx[379].start 11260.299
transcript.whisperx[379].end 11273.099
transcript.whisperx[379].text 好 這個特別條例的裁員來自於舉債那我們要完成這個程序之後我一定要求各部會及時迅速的執行最快的時間在執行完畢表示政府對於
transcript.whisperx[380].start 11276.271
transcript.whisperx[380].end 11302.5
transcript.whisperx[380].text 他現在新的標準是什麼請問說他已經有標準產品所以比上面更加有標準
transcript.whisperx[381].start 11324.625
transcript.whisperx[381].end 11329.69
transcript.whisperx[381].text 好謝謝謝謝張家俊文 子馨謝謝卓院長還有各格院的備詢 謝謝
transcript.whisperx[382].start 11341.872
transcript.whisperx[382].end 11369.697
transcript.whisperx[382].text 好接下來我們請賴會員委員質詢謝榮介委員請準備好謝謝主席有請院長還有全境指揮所指揮官陳金德麻煩再請卓院長陳政委備選院長賴委員好辛苦你了謝謝指揮官委員好
transcript.whisperx[383].start 11372.028
transcript.whisperx[383].end 11388.575
transcript.whisperx[383].text 我想從7月8號一直到7月9號在台南15個行政區裡頭受創的非常嚴重這15個行政區本席有11個區是在我的選區裡頭
transcript.whisperx[384].start 11391.083
transcript.whisperx[384].end 11406.951
transcript.whisperx[384].text 7月9號我聽到了很多沿海區域的里長他們求救的一個電話我要趕過去早上8點多我要趕過去結果那個路是不通的因為電線桿前面的掉下來
transcript.whisperx[385].start 11408.422
transcript.whisperx[385].end 11432.931
transcript.whisperx[385].text 我在這裡要謝謝兩位也要謝謝我們所有在這一次搶災的所有行政單位因為有你們其實剛才我聽到很多就是外圍的委員在質問質問了很多是在這個災區發生的前四五天的一個狀況我覺得這個是非常非常的打壓我們
transcript.whisperx[386].start 11434.605
transcript.whisperx[386].end 11457.271
transcript.whisperx[386].text 我謝謝陳金德指揮官我跟著他開會我不會算那個次數了在市政府早上開會10點開會下午我們就是每一個區每一個區去跟里長座談謝謝院長你來了八次總統來了五次
transcript.whisperx[387].start 11458.078
transcript.whisperx[387].end 11487.027
transcript.whisperx[387].text 其實在這個過程裡頭我們一直在解決問題當我們面臨到了一個120年的這個強大的一個颱風它是真的從你的整個臉這樣子打過來在這次的過程當中我不知道為什麼我這邊有這麼多的一個災民我甚至我自己很自責我不知道我的選區裡頭為什麼有這麼多低收入戶跟中低收入戶有這麼多的一個老房子
transcript.whisperx[388].start 11488.127
transcript.whisperx[388].end 11509.897
transcript.whisperx[388].text 其實我們非常的痛可是這個不是我們可以跟大自然做抵抗的所以再一次謝謝你們可是也要針對了這個整個過程裡頭我們需要的一個協助那在後的一個重建條例特別條例那編了560億夠不夠本席認為是不夠的
transcript.whisperx[389].start 11513.098
transcript.whisperx[389].end 11536.56
transcript.whisperx[389].text 我從八場的一個座談會裡頭三場的一個現場其實這每一場座談會我是用我們財政委員會從中央再跟地方政府每一個都是局長台南市政府都是局長我們的一個對接然後我們充分的反映災民的一個心聲其實在這個整個座談會裡頭
transcript.whisperx[390].start 11538.161
transcript.whisperx[390].end 11548.776
transcript.whisperx[390].text 每一場都超過100個公務人員我們坐在那一邊搶災搶險不是站到第一線去
transcript.whisperx[391].start 11550.349
transcript.whisperx[391].end 11578.787
transcript.whisperx[391].text 這個唯一的一個標準而已我們必須要做很多內部的一個工作後勤的一個工作所以在這個過程裡頭我們去發現到就是很多的一個不足所以在這裡跟院長跟指揮官做一個災後重建紓困振興這我把它分為七大項這七大項裡頭我想普化現金還有就是黃紅的一個韌性通訊的一個韌性還有校舍老舊還有
transcript.whisperx[392].start 11579.507
transcript.whisperx[392].end 11591.352
transcript.whisperx[392].text 這個老屋還有老樹榮損的一個救助還有我們產業跟企業的一個支持跟三天的一個觀光的重建等一下我要請我們的農業部長還有我們的經濟部長
transcript.whisperx[393].start 11595.393
transcript.whisperx[393].end 11621.269
transcript.whisperx[393].text 跟著就是說在這裡頭我們在重建裡頭我們需要這兩個單位來協助我們院長我想重建的金會有限中低收入戶的普發現金我建議應該要加碼尤其是在我的選區裡頭才4700個這等於是增加了4700萬我希望就是說
transcript.whisperx[394].start 11622.588
transcript.whisperx[394].end 11643.207
transcript.whisperx[394].text 院長可以快速來協助我們這些在弱勢的一個災民普遍面臨到了三大的一個困境他的修繕的支出龐大他的生計中斷了他的災後負擔的風險變高了所以是不是有機會就是說在這個普化現金裡頭增加了這個加碼我們的中低收入戶
transcript.whisperx[395].start 11645.217
transcript.whisperx[395].end 11665.911
transcript.whisperx[395].text 每一個區域立委都是受到選民的一個支持那如果像我這個重災區中的重災我剛才跟經濟部長特別去了拜託一些我跟他私下那個拜託的事情他跟我講說不能只有給你啊還是要再給別人啊
transcript.whisperx[396].start 11666.803
transcript.whisperx[396].end 11689.895
transcript.whisperx[396].text 一個最嚴重的一個是在家戶病房的一個是普通病房的本座的錢都一樣這樣有道理當然也是沒道理啊那個家戶病房是隨時會掛掉的那一般病房也慢慢來有些是慢性病的啊怎麼會是一致性的我當然是不認同就是說院長
transcript.whisperx[397].start 11691.036
transcript.whisperx[397].end 11706.343
transcript.whisperx[397].text 不會是一致性的啊這個大家在這個颱風裡頭當然是颱風裡頭大家受創的情形是完全不一樣的我們的污點都掀掉了嘉義縣的房子都不見了怎麼會是一致的呢所以我覺得這個應該有一個標準
transcript.whisperx[398].start 11707.864
transcript.whisperx[398].end 11732.003
transcript.whisperx[398].text 因為你是最重要的一個縣長啊所以我在這裡請教農業部長就是說部長在我們台南沿海跟西北地區有很多農田是泡水然後溫王室溫王室它是倒塌的還有就是我們的漁溫這個潰堤這些情形那我們的農民需要很多的資金進入修繕跟護耕的一個洋溢那還有
transcript.whisperx[399].start 11732.543
transcript.whisperx[399].end 11757.617
transcript.whisperx[399].text 在普遍我們面臨到了就是說在區公所區公所就是懲判人員他對於整個榮損的一個補助的認知其實是有點錯亂的當然這個是一個滾動式的我們不可能就是說7月9號訂的標準跟7月29號的標準是一樣因為我們一直滾動性的在檢討在討論嘛那希望農業部跟地方加強協調跟整合
transcript.whisperx[400].start 11758.217
transcript.whisperx[400].end 11778.141
transcript.whisperx[400].text 我們把這個兩週內就是救助的一個撥款把它放下去有沒有機會還有再特別跟農業部長做一個要求我們北門農會沒有納進災禍補助那個專案的一個承辦窗口這個對我們北門人是非常不公平的來 部長
transcript.whisperx[401].start 11778.781
transcript.whisperx[401].end 11805.149
transcript.whisperx[401].text 我先回答剛才您講的那個北門農會的部分那是有關於漁業部分的受理單位那經過我們的就是跟各漁會協調他們是覺得說漁業部分還是由漁會來處理會比較適當那如果說北門農業願意做我想我們會再協調這個部分我想是以人家願意做你應該要給他納進來啊對不對這都是好事啊你這個時候已經虛擬了你還要給他檢查什麼要給你本錢
transcript.whisperx[402].start 11807.871
transcript.whisperx[402].end 11826.446
transcript.whisperx[402].text 這個我想每個漁會如果農會或漁會協助我們都會來處理因為他們北門的話我想他們願意如果願意的話漁會如果大家都一起努力第二個部分就是有關於救災的部分相對的我們現在也在協助公所怎麼樣去簡化的理工程
transcript.whisperx[403].start 11826.906
transcript.whisperx[403].end 11842.627
transcript.whisperx[403].text 那對於專案補助的話我們更不敢去麻煩公所我們由農會 漁會或者是我們本身農糧署的分署來做承辦窗口這樣的話會減少他們的一些人力什麼時候撥錢撥錢可能要根據
transcript.whisperx[404].start 11843.874
transcript.whisperx[404].end 11864.488
transcript.whisperx[404].text 那個公所本身 他的勘差完了以後報到縣府 縣府再提供給我我們三天之內一定播我想在這個地方政府要加速因為你炒火要炒前面你到三個月後 你再去本地的錢的時候我的農業修繕補助80%你不要讓大家每天說看得到吃不到了
transcript.whisperx[405].start 11866.829
transcript.whisperx[405].end 11889.606
transcript.whisperx[405].text 這是我們的一個困難還有我再跟農業部就是說 再做一個建議就是說我們農家綜合的一個貸款院長 我們每一個農民都可以借一筆40萬的錢這個叫做農家綜合貸款是不是有機會 就是說在第二批第二批就是說我們40加40
transcript.whisperx[406].start 11891.892
transcript.whisperx[406].end 11912.865
transcript.whisperx[406].text 有沒有機會我希望就是說我們的農會其實是聯合的一個陳情台南市農會跟我們11區的農會他們希望就是說我們農業部提供這樣子的一個協助我覺得合情合理農民在生活上以及在復耕上如果確實有這個需求農業部再來處理
transcript.whisperx[407].start 11914.005
transcript.whisperx[407].end 11930.873
transcript.whisperx[407].text 我想第一個 這個第二次的農家綜合貸款我們已經在研議但是我們另外會提出一個類似支持的這些短期的借貸是一個類似非常低的利率去處理它的條件可能會比農家綜合貸款還要好因為利息要省多少
transcript.whisperx[408].start 11933.322
transcript.whisperx[408].end 11958.823
transcript.whisperx[408].text 我跟你講部長你只要低於1.9這個就是有意思了我們現在規劃的一定是低於1.9好 低於1.9最好是無息我跟委員順便報告一下他們現在所有的貸款我們都同意他延緩兩年不管是本金還款或是貸款期那這樣的話就會縮減他們的一個金融的一個付款的壓力
transcript.whisperx[409].start 11959.861
transcript.whisperx[409].end 11986.694
transcript.whisperx[409].text 好 謝謝榮業部長那針對的就是說我在請教環境部部長你請回 院長這一次其實我們有一個重要的環境的議題就是實棉瓦實棉瓦其實讓我們整個場域你大概沒有辦法想像就是說這個實棉瓦在我們台南大概有多少的一個面積
transcript.whisperx[410].start 11987.974
transcript.whisperx[410].end 12004.781
transcript.whisperx[410].text 現在要整修大概是一萬五噸結果在我們台南就是一萬噸一萬噸是20個足球場的這麼大現在我們才清除不到一成
transcript.whisperx[411].start 12005.581
transcript.whisperx[411].end 12020.071
transcript.whisperx[411].text 所以這個嚴重的落後可是這個如果我們不處理的話這造成整個環境有毒的壓力是不是可以請院長支持環境部在專案補助7.9億再加碼因為7.9億做不了事情部長
transcript.whisperx[412].start 12027.416
transcript.whisperx[412].end 12055.381
transcript.whisperx[412].text 預算上它已經有所增加報告委員 因為那個7.91其實也是委員在第一個禮拜就提醒我的那我們也跟院長報告 院長非常的支持那現在來說的話有加快了 速度有加快那因為台南整個來說的話大概是10萬噸那這次毀了大概1萬噸左右那我們這1萬噸目前的量能是可以處理的院長 有沒有辦法跟我們承諾什麼時候把我們的石煤瓦全部清除掉有辦法給我們一個時間嗎
transcript.whisperx[413].start 12058.077
transcript.whisperx[413].end 12076.273
transcript.whisperx[413].text 報告委員 這個其實我們是可以速度很快尤其這個禮拜我們公司協力會有個實棉瓦地圖會出來那會加快這個速度然後當然保障這個民眾因為很多民眾不知道這個狀況我跟你講你如果三個月到六個月可以全部清完的話那實在是非常地了不起
transcript.whisperx[414].start 12076.753
transcript.whisperx[414].end 12100.171
transcript.whisperx[414].text 因為你大概沒有辦法想像我們這個地方就是存在了很多的一個石棉瓦就是鐵片英尊的建材它還存在了很多的老房子就是石棉瓦我們是不是靠這個時候可以就是一致性把它完成所以說院長如果三個月到六個月我們把台南的石棉瓦全部清除有沒有機會
transcript.whisperx[415].start 12104.024
transcript.whisperx[415].end 12116.388
transcript.whisperx[415].text 三個月針對現在已經破掉的有在住的民眾沒有問題但是有一些我發現台南很多我去看了很多都是沒有好幾個人沒有人住的或是產權很多人
transcript.whisperx[416].start 12117.728
transcript.whisperx[416].end 12131.865
transcript.whisperx[416].text 如果說我轉播給你聽完 我會說你有夠厲害你就是我們的菩薩了真的拜託你拜託我會來拍片 會來拍片我們跟經濟部跟數位部跟NCC來做一個探討為什麼在這一次的一個災損裡頭
transcript.whisperx[417].start 12133.587
transcript.whisperx[417].end 12162.706
transcript.whisperx[417].text 那前四天沒有電沒有環境部長你請回我要數位部跟NCC那這沒有電的時候把我們就是形塑成因為就是說當你嘉義縣經濟部長你要留下來啊你要留下來我有議題是跟你有相關的因為你的台電你的台電這一次被那個就是大家就是去講說台電那個在這個整個搶救的過程裡頭不利那為什麼不利
transcript.whisperx[418].start 12163.847
transcript.whisperx[418].end 12183.449
transcript.whisperx[418].text 院長你知道所有的電線都是黑色的對不對所有的電線不管就是說台客塔不管就是說中華電信不管是演傳地方電視台專播都是黑色的那個電線全部都是掛在台電的那個電線桿上面結果這一倒
transcript.whisperx[419].start 12183.809
transcript.whisperx[419].end 12211.494
transcript.whisperx[419].text 倒下去了以後3700根的電線桿倒下去了以後人家都說是中華電信就是中華電信也說台電所有的兇手都是台電那這台電這個在搶不眠不休的一個搶修的過程當中其實台電已經快速的恢復了恢復了這一個電力所以我要數位部跟NCC你們要去追究這幾個台客大跟那個演傳他們
transcript.whisperx[420].start 12213.614
transcript.whisperx[420].end 12229.127
transcript.whisperx[420].text 為什麼賺了錢他們不投資地下電網還有他們的光纖線網在他們的一個合約裡頭你給他們太寬鬆了結果你們就是一直在逼台電那台電所有做的事情
transcript.whisperx[421].start 12230.553
transcript.whisperx[421].end 12246.423
transcript.whisperx[421].text 結果大家都講說台電沒有做好其實這個要責任權限要把它那個就是權責要分就是要把它分好了這個沒有分好的話沒有道理你賺多少錢這個大概是
transcript.whisperx[422].start 12249.865
transcript.whisperx[422].end 12268.055
transcript.whisperx[422].text 我們會持續要求業者來攬經濟消化最後跟部長就是工業區的災損是不是可以比照那個農損的一個那個災損來辦理那個經理部長是 報告委員我想至於這個
transcript.whisperx[423].start 12281.718
transcript.whisperx[423].end 12292.184
transcript.whisperx[423].text 現在是7月15日
transcript.whisperx[424].start 12318.232
transcript.whisperx[424].end 12322.413
transcript.whisperx[424].text 好 謝謝那位委員發言謝謝卓院長 各部會所長的備詢 謝謝
transcript.whisperx[425].start 12325.891
transcript.whisperx[425].end 12330.633
transcript.whisperx[425].text 接下來我們請謝榮健委員發言結束之後我們會進行休息議長 我請道應議長
transcript.whisperx[426].start 12354.96
transcript.whisperx[426].end 12374.137
transcript.whisperx[426].text 好 麻煩再請卓院長備詢卓議員好 卓議長辛苦對你的辛苦 給你12萬分的傾聽但這是應該做的 應該辛苦的你沒打要叫誰打
transcript.whisperx[427].start 12382.475
transcript.whisperx[427].end 12399.164
transcript.whisperx[427].text 所以不管你做了怎樣 國防的責任 難免災民現在是什麼樣的心情就像鍋鍋一樣所以你的辛苦是應該的 但是辛苦要有代價 對不對
transcript.whisperx[428].start 12402.796
transcript.whisperx[428].end 12427.987
transcript.whisperx[428].text 譬如說你剛才在這裡報告 我坐在那裡跟你聽我是聽了有一點感動 因為你第一次避開 知道還到什麼錯誤嘛這叫做台獨政客啊 主人就有官獨出來結果不知道你的豬隊友有多少民進黨的黨團幹部在那裡 你在報告災民時 那年痛苦的心情竟然把你打破了
transcript.whisperx[429].start 12429.753
transcript.whisperx[429].end 12448.303
transcript.whisperx[429].text 我看你的個案 很多人啊對你的婆婆啊掌聲鼓勵我們在那裡站著 我要講好事我不知道你的團隊是 到底是什麼地方出問題我看你站在那裡 他們的婆婆啊 你啊 抱歉抱歉說到背 你也不敢笑對不對
transcript.whisperx[430].start 12450.862
transcript.whisperx[430].end 12476.197
transcript.whisperx[430].text 實在是 真是 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我 我
transcript.whisperx[431].start 12477.345
transcript.whisperx[431].end 12506.076
transcript.whisperx[431].text 過去的經驗 起立的態度 退縮的態度我可以跟你肯定你到7月30日 升立前陣子為首唉 我不要跟你說喔做鬼就搶沒硬菜湯了全球四人在立土機 你知道鬼的災民23天 他們是什麼樣的心情
transcript.whisperx[432].start 12507.336
transcript.whisperx[432].end 12530.56
transcript.whisperx[432].text 當然流氣 但是酒的不白 聽起來還流脾氣沒有對稱下誘 到底你的團隊是給你蒙蔽什麼就對了信息每天都沒有報 所以做生今天你民間的流量也沒有進來 因為大家感覺沒有很嚴重的狀況 你想第一禮拜
transcript.whisperx[433].start 12534.397
transcript.whisperx[433].end 12555.472
transcript.whisperx[433].text 到第一禮拜 台南市政府的省款 光看兩千多萬到阿扁 大家跑上營業 到你入企 這樣開始積極媒體比較淡薄薄的 我跟你們講 第一禮拜你知道媒體尤其是整棟議場的那三大媒體我實在是 說得很厲害
transcript.whisperx[434].start 12560.174
transcript.whisperx[434].end 12586.803
transcript.whisperx[434].text 一千五百篇的新聞報到裡面就有五十五篇報在庫了3%所以大家 因為都在拚大麻煩嘛所以大家會覺得說 改成台南自己不太嚴重啊所有來幫忙的人 我都感謝啦第一時間 我跟你說做環保阿伯有許意見我相信現在大家都理解
transcript.whisperx[435].start 12589.659
transcript.whisperx[435].end 12608.527
transcript.whisperx[435].text 沒多久沒辦法我就要這樣做有的蓬勃已經蓋三半了 你知道嗎那天天天蓋了這樣風吹來 搖來搖來那幾十個店就都破了所以外面落貨 裡面的落貨甩了就要再壓著 叫人家吐爆棚但是後天過 我可以跟你體諒就是說風太過 三天落兩天貨 三天落兩天貨
transcript.whisperx[436].start 12620.114
transcript.whisperx[436].end 12643.611
transcript.whisperx[436].text 沒有一個黨主席就用他的軟鋼在那個落後廳內講 聖母站在大廳我告訴你 這我了解你沒有這樣 民間的力量會比政府大所以我們一直不斷的活躍民間的力量進來我教授的伯伯還去把三間廳蓋住蓋住沒蓋住 放太久了
transcript.whisperx[437].start 12646.241
transcript.whisperx[437].end 12671.619
transcript.whisperx[437].text 這個民間的流氓一進來的時候 還有人跟我說什麼啊 你看那個蔣介石幹什麼的沒有按照這個公安來做我告訴你 我如果要按照公安來啦 大家扣範照考 才開始施工我問你們 黨經濟 政府委員我告訴你 到明年八月十五 你就做不好了救災 有急的所在啦不是說我們沒有重視公安啦
transcript.whisperx[438].start 12673.24
transcript.whisperx[438].end 12694.572
transcript.whisperx[438].text 這時候是要怎麼全體一體來面對嘛不是這樣嗎今年三月二十七在一月南西大地震之後這月二十七之後呢 到你三月二十七你來啟動到夏季 暖省 彩虹 救災的大延年在我們台南市
transcript.whisperx[439].start 12696.121
transcript.whisperx[439].end 12724.75
transcript.whisperx[439].text 不住的調動啊 好啦 修地安容啊 天災的安地啦包括種種的調泊不住所有的延年那天做到 大家也給你講什麼結果 鳳台來破功了 完全破功了我們也不可責 台南市政府這裡的人啊公訴 發出訴 市政府 各可責大家
transcript.whisperx[440].start 12725.936
transcript.whisperx[440].end 12751.009
transcript.whisperx[440].text 都在地上在拼命面對著這種極端的氣候我也不知道說你的經濟 因為你知不知道我們現在飲水的步驟要幾公分你知不知道五十公分以上 中央政府有夠多兩萬塊的步驟五十公分以上 中央政府有夠多兩萬塊的步驟其他五十公分都沒有啦
transcript.whisperx[441].start 12757.751
transcript.whisperx[441].end 12764.298
transcript.whisperx[441].text 來 你敢不知道這一棟是長了50公分這已經很多年的關 很多年喔是怎樣 當時是民國90年是怎樣的長50公分如果有去想過甘蔭的訓練應該很多人會知道聽到很辛苦啦
transcript.whisperx[442].start 12778.103
transcript.whisperx[442].end 12787.866
transcript.whisperx[442].text 你懂嗎 現在十公分二十公分 甲骨頭都胖了 冰箱都沾了現在跟以前不一樣 這日本時代的文化團了我告訴你日本時代大正六年 發生風災一直到較早二十年隆重 日本天皇有十八年中間有三十八次來救助台灣希望的五項
transcript.whisperx[443].start 12806.295
transcript.whisperx[443].end 12819.745
transcript.whisperx[443].text 檔胸的三顆 如果煮好呢 全灰的一顆 半灰的三十五斤喝水為什麼要等五十公分 因為日本時代 你們看過日本鎖匣嗎你大過嗎 我也大過了 來 日本鎖匣的榻榻米高達五十公分
transcript.whisperx[444].start 12831.513
transcript.whisperx[444].end 12836.998
transcript.whisperx[444].text 就是說陰水50公分 榻榻米就陰氣了 榻榻米對冬季時代 古時代是重要的資產啦不然榻榻米就沒得睡啦咱民國90年來 頂的時候 總要沿用這個文化 50公分
transcript.whisperx[445].start 12845.95
transcript.whisperx[445].end 12863.489
transcript.whisperx[445].text 我所有台南的鄉親台南這些立法委員大家去聽的時候為什麼要50公分啊當然你定30、25公分也有意見你定25公分也有意見這個50公分是對日本時代的精神安排這個榻榻米的管道用來因為我需要調整這個
transcript.whisperx[446].start 12865.373
transcript.whisperx[446].end 12877.247
transcript.whisperx[446].text 你如果靠在那一邊你如果做過民意代表 相信你再保衛你再管治政府所聽到的每一齣六篇音訊 大家就對這個50公分有意見你覺得如何
transcript.whisperx[447].start 12880.164
transcript.whisperx[447].end 12891.769
transcript.whisperx[447].text 這次也有民眾表示說他的淹水不到50公分那我們認為第一個是重寬那我記得上次颱風的時候我們研議說50公分以下重寬我知道啦因為這是在我們的辦法裡面啦你這裡沒有蓋就對了每次說我這次要重寬 後面沒要重寬
transcript.whisperx[448].start 12898.786
transcript.whisperx[448].end 12910.309
transcript.whisperx[448].text 我是說有經濟不好 我就針對這個地去修發這個沒有啦這可以先檢討 我們來處理上次九年風災也在說 國際公安醫學院是不是頂一個下線整個公安醫學院也給他補助 有這個循環這是在說的齁 災民啊我不要說冚災地立正地 我從來不會這樣啦你去看我所有的法文
transcript.whisperx[449].start 12926.769
transcript.whisperx[449].end 12954.627
transcript.whisperx[449].text 就是對中央政府、對地方政府傾聽再傾聽因為只有這樣傾聽把線的理論激發出來民間、人家大家看到人家有的團體就要來找我們說我會做什麼?德國可以給我們做什麼?不是我們...因為台南就掉不掉了嘛台南所有的鐵缸我問我那些鐵缸的朋友他說我要兩個...我們剛好...我們剛好要修理說兩件事
transcript.whisperx[450].start 12956.075
transcript.whisperx[450].end 12984.581
transcript.whisperx[450].text 你等2個半月 我這裡的頂端都2個半月以後啦所以第一時間我就呼籲我們一定要清掉其他外部頭 這裡的鐵缸裡面用電缸的 讓我們的蒸汁掉了鐵柱做 看起來很簡單啦 因為本來的鐵柱就對了那很簡單 我跟你講 我看你就把它做好了鐵缸蓋起來而已嘛 因為本來不是的
transcript.whisperx[451].start 12986.255
transcript.whisperx[451].end 13014.885
transcript.whisperx[451].text 他們是頭角鼠 他們是紅蝦鼠裡面的妹仔 角仔 軟的那些還不可以拚到補體體了你還不可以把牠牽起來很多問題啊我們知道 但是一般人不知道你們在救災地上的人遇到這些困難所以我呼籲 為什麼不斷的呼籲給民間的力量進來因為你的辦法裡面
transcript.whisperx[452].start 13016.089
transcript.whisperx[452].end 13039.7
transcript.whisperx[452].text 我要向你報告 你要接受的不是只有股民 農民 肥民而已你知不知道在這個財庫裡面有很多企業的工廠 出店也放棄了機械也淋浴了 泡水了 玩料也泡水了 芯片也泡水了
transcript.whisperx[453].start 13041.209
transcript.whisperx[453].end 13064.216
transcript.whisperx[453].text 他們的損失就不是一戶三十萬、二十萬他們的損失都七倍千萬、五六千萬、三、兩千萬你的條例裡面有針對企業手術者來處理企業的部分包括利息補貼、節能補貼、設備補貼跟動力補貼經濟部都有長年的預算在做這樣的補貼利息補貼的規劃跟預算在裡面所以我們這個最重要的就是利息補貼而已
transcript.whisperx[454].start 13067.285
transcript.whisperx[454].end 13076.236
transcript.whisperx[454].text 他的動力補貼跟他的節能補貼甚至有的是五百萬以上跟五百萬以下都有這麼高的波條就對了 損失的波條嘛
transcript.whisperx[455].start 13078.069
transcript.whisperx[455].end 13102.746
transcript.whisperx[455].text 是損失的補貼嗎他力氣補貼最高是五十萬啦節能補貼最高五百萬你說的動力補貼是怎樣是新興核電的補貼嗎補助動力設備動力設備可以到五百萬至千五萬新興動力的補貼報告委員我們大概補助機器設備每一家可以來到這個最高可以來到一千五百萬
transcript.whisperx[456].start 13103.973
transcript.whisperx[456].end 13117.598
transcript.whisperx[456].text 然後這個動力設備他就把這個書面給我一下書面給我一下來書面給我啦因為這企業大家說受損的很多人因為我請教你一個很嚴肅的問題太陽能的光電棒太陽能的光電棒到今天我給你提出我給你新聞
transcript.whisperx[457].start 13131.667
transcript.whisperx[457].end 13156.948
transcript.whisperx[457].text 就是說 這裡的公電房155,000平方公尺飛到四戒區沒有人要處理你說入這裡沒有人可以處理如果這樣 地方政府準備倒處理 來你們要不要一個合法 合法佔地的稀客改變合法給地方政府啦我告訴你們 整間不行但是救災調雷可以啊 緊急可以啊
transcript.whisperx[458].start 13159.366
transcript.whisperx[458].end 13179.773
transcript.whisperx[458].text 你不出這個行 地方政府就無法可依損啦我先去找地啊 暫時的收集場我告訴你 你可以找整塊地對不對 人家那邊大 那邊大片報告委員 那個92%已經全部回收了只剩下8%還對付在那個地方所以92%就好了 8%不用8%正在處理當中
transcript.whisperx[459].start 13184.275
transcript.whisperx[459].end 13202.293
transcript.whisperx[459].text 那個是地方的制裁你講這個我聽不下去啦你懂嗎藝術風態一般來明天早上後天那個風態來不會再出現就對了後天那個風態來不會再出現我是跟你講你一個許可解釋函給地方政府 地方政府可以替你一番他就有法可損啦那不是這樣
transcript.whisperx[460].start 13204.915
transcript.whisperx[460].end 13212.177
transcript.whisperx[460].text 這個已經做了 報告委員已經做了有啦 我們那個循環署早就已經發出去了這樣你了解沒有
transcript.whisperx[461].start 13225.981
transcript.whisperx[461].end 13230.994
transcript.whisperx[461].text 就是說 我要求你我怕你們受到 但是你們沒有下去
transcript.whisperx[462].start 13235.579
transcript.whisperx[462].end 13260.124
transcript.whisperx[462].text 這個出地的改水盒 佔地合法的改水盒你沒落去 地方政府不敢做啦請阿伯就盡快把這個程序完成這個我們那個第一個禮拜就有在處理這個事情這個事情 要比較積極啦 救災齁很急的啦 不能像死人那樣立頭雞啦 我跟你講真的啦 這災民大家都看不下去但是我們會繼續跟你鼓勵啦 我們會陪你走走啦謝謝 謝謝委員
transcript.whisperx[463].start 13264.668
transcript.whisperx[463].end 13274.285
transcript.whisperx[463].text 謝謝謝龍介委員的質詢謝謝卓院長 各部會所長的備詢也謝謝黃建斌委員 王玉敏委員陪同我們一起參與我們專案的討論那我們現在休息
transcript.whisperx[464].start 21633.134
transcript.whisperx[464].end 21658.72
transcript.whisperx[464].text 好 報告委員會 我們現在繼續開會進行專案報告諮詢首先請林郡縣委員諮詢王玉明委員請準備感謝主席本席邀請我們行政院卓院長麻煩請卓院長備詢
transcript.whisperx[465].start 21668.291
transcript.whisperx[465].end 21696.566
transcript.whisperx[465].text 林委員好院長好院長今天我們來討論這次的風災的各項我覺得我們應該要先虛心來檢討我大概分三個面向一個就是災前的預防災後的緊急應變還有災後的復原我舉幾個例子第一個就是說我們在災後緊急要回應的時候如果我們可以更
transcript.whisperx[466].start 21697.472
transcript.whisperx[466].end 21724.658
transcript.whisperx[466].text 了解一下民眾的需求如果我們可以更清楚的知道這個災民的需要這個減少民怨我給大家舉幾個例子後來我們都馬上改了我們都有改但是也讓民眾誤會甚至罵了好幾天例如第一個行政院剛公佈的補助一個門號補助災損就是比如說最多10萬
transcript.whisperx[467].start 21726.54
transcript.whisperx[467].end 21753.738
transcript.whisperx[467].text 後來我向認證部提出緊急質詢我說因為院長也到在區看過了我們有很多鄉下地方是三合院裡面是很多戶你不能以一個門號來做補助的標準那裡面可能住我就看過有住六戶的你應該是以戶數看他實際住幾戶你可以用水電單來證明他有實際居住的事實用戶數來做標準認證部是馬上有
transcript.whisperx[468].start 21756.861
transcript.whisperx[468].end 21776.696
transcript.whisperx[468].text 從善如流 他馬上有改但是我們也被罵了好幾天我舉這個當例子第二個 災民申請的表格那個很複雜一開始還要付什麼藤本還有什麼繳稅的單據災民說 我家就沒了我裡面喝大水你要再叫我去找這些表格後來我們當然也改了也造成了好幾天的一個混亂
transcript.whisperx[469].start 21786.482
transcript.whisperx[469].end 21810.689
transcript.whisperx[469].text 再來第三 在災難發生的時候還有一個很嚴重的 就是斷了通訊我想院長也很清楚 斷了通訊第一個 那些災民的家屬不了解狀況電話打不進去 災民他也沒辦法對外聯絡因為沒有網路 沒有電話這個是以現代社會來講 這個是很危險的
transcript.whisperx[470].start 21813.78
transcript.whisperx[470].end 21827.43
transcript.whisperx[470].text 後來中華電信最早恢復訊號網路還有電話因為它的基礎建設比較好這院長知道吧那我也曾經跟NCC質詢我說那你應該要開放國內的災難漫遊
transcript.whisperx[471].start 21831.189
transcript.whisperx[471].end 21848.71
transcript.whisperx[471].text 院長出國嘛我們出國我們的電話可以國際漫遊啊就是我們不管你在國內用哪家電信公司但是你到國外你就可以用當地的電信公司嘛我們有國際漫遊你出國一定會用到嘛但國內啊是沒有我們現在是沒有國內漫遊
transcript.whisperx[472].start 21850.17
transcript.whisperx[472].end 21879.059
transcript.whisperx[472].text 但是在特別狀況你應該要開放災難漫遊例如有像這種特殊情形的時候我用遠傳 我用台客大我不通 那我可以使用跳過來用中華電信然後NCC的陳代主委他馬上答應了他也馬上去協調中華電信也接受了後來也恢復了有幾個地方的那種災難漫遊是嗎 陳主委是這樣嗎對 就役足七谷跟布袋
transcript.whisperx[473].start 21881.246
transcript.whisperx[473].end 21908.65
transcript.whisperx[473].text 像這個我認為也是我們反應太慢我們8月7號才恢復災難漫遊颱風是7月7號成災啦7月6號來7月7號早上造成重大的災難拖了一個月我也以這個當例子啦雖然我們也很快的反應啦但這個我在NCC提出質詢以後他馬上去做那其實也許可以做得更早更快啦好 我再舉個例子
transcript.whisperx[474].start 21910.285
transcript.whisperx[474].end 21935.436
transcript.whisperx[474].text 好 那陳代主委可以回座我再舉個例子就是像農業部農業部也很快的回應到本席的一個訴求我說你的災民就農業的災難貸款可以免息其實你在第一時間公佈的時候你就應該就可以公佈如果是災民的需求我免除這樣的一個利息因為它利息才1.4%多
transcript.whisperx[475].start 21939.47
transcript.whisperx[475].end 21966.161
transcript.whisperx[475].text 我們的這個所謂的貸款補助的辦法其實是更動好幾次越更動當然條件越好其實我們如果做得到應該就一次到位這也用美國人講其實我覺得都沒必要的這幾點一定要做參考例如我們的救災從中央開設前進指揮所
transcript.whisperx[476].start 21967.721
transcript.whisperx[476].end 21992.297
transcript.whisperx[476].text 陳進德指揮官 陳進德政委就位以後我們對於人力和資源的調度效率就快很多了中央地方的合作就更快更緊密了那我給院長參考一下颱風是7月6號來嘛我剛剛說7月7號成災嘛7月28號來一個超級豪大雨院長有去看我們前進指揮所
transcript.whisperx[477].start 21993.345
transcript.whisperx[477].end 22022.258
transcript.whisperx[477].text 是豪大宇的第二天7月29才宣布7月30號才成立其實更嚴重的其實我們現在在做的是針對風災不是後來的雨災所以前進指揮所其實按照我們的災防法我們是有法源依據的早就應該要來設立了因為颱風造成的傷害其實現在很當時其實也很容易看出來那根本市政府就不可能遠超過地方政府
transcript.whisperx[478].start 22022.679
transcript.whisperx[478].end 22028.773
transcript.whisperx[478].text 所能處理的那中央就應該要快速的協調各部會甚至其他全國各地的資源
transcript.whisperx[479].start 22029.699
transcript.whisperx[479].end 22056.512
transcript.whisperx[479].text 像現在院長的指示之下我們現在把全國的公班都調到災區謝謝營造工會潛力的挺路那我們很多的公共建設也停下來能夠不影響的 不影響太大 停下來公班也進到災區裡面來協助修繕房屋這個做得很好 而且還補助咧你如果工程停了 你就先來台南救災工期不算 它原來工期不算這邊還有其他的鄉親 還有特別工程
transcript.whisperx[480].start 22058.093
transcript.whisperx[480].end 22074.092
transcript.whisperx[480].text 這樣這個很好啊那這個其實啊其實我們不應該拖一個月啦我個人在地方這個以我協助救災的這種感想因為當時確實中央地方聯絡起來非常的辛苦啦所以風災是7月7號大概就
transcript.whisperx[481].start 22076.381
transcript.whisperx[481].end 22100.8
transcript.whisperx[481].text 大家都知道那個災情的慘狀不應該拖了那麼久這是我個人一個建議院長一個參考我們如果第一時間更快的能夠設立這樣來協調中央地方資源的前進指揮所的話我想救災可以做得更好我現在還有一個建議在救災的時候有一個混亂的狀況其實包括連我們的基層公務人員
transcript.whisperx[482].start 22101.978
transcript.whisperx[482].end 22129.677
transcript.whisperx[482].text 也要搞混亂因為有太多各式各樣不同的補助辦法各部位都有他提出來他相對應的業務他媽怎麼樣來協助救災那個資訊可以說是非常多啦 眼花繚亂其實我們應該要設立一個一站式或一夜市的一個這一次針對這次風災的一個網站讓災民也可以知道我有什麼東西可以行政
transcript.whisperx[483].start 22131.206
transcript.whisperx[483].end 22155.666
transcript.whisperx[483].text 公務人員也可以知道因為這邊我告訴公務人員有一個時間的落差比如說我們中央推出一個補助我們要讓更多人知道 所以就做圖卡我現在有一個新的補助 圖卡網路就在傳很多人看到 災民看到就馬上跑到區公所區公所都拒收了 為什麼他沒收到公文有沒有這樣的時間落差
transcript.whisperx[484].start 22159.14
transcript.whisperx[484].end 22170.667
transcript.whisperx[484].text 還有就是補助的辦法有變動或者是補助有哪些坦白講有些基層公務人員這幾天業務非常繁雜他也搞不清楚如果我們有這樣的一夜市的網站
transcript.whisperx[485].start 22171.971
transcript.whisperx[485].end 22200.513
transcript.whisperx[485].text 而不是像現在 現在是各部會自己都說他公佈他自己的台南市政府的網站沒辦法 他都是一個連結你要了解經濟部補助哪些東西你去台南市的網站 你只能按那個連結去經濟部的那個地方看我們應該把它整合成一個一站式的網站讓公務員也好 災民也好 了解說我可以申請什麼現在辦法是什麼 有變化嗎這一點 我提出一個建議因為過去 莫乃光風災有設立
transcript.whisperx[486].start 22201.636
transcript.whisperx[486].end 22228.109
transcript.whisperx[486].text 包括我們頂邊的普發現金也是設立一個網站讓很多人都可以直接在網站上去完成申請補助的這樣的一個行政程序這點其實現在也可以給大家做一個參考那印度人好 謝謝委員建議我們速度加快這是必然要改進的地方另外就是現在都是從給
transcript.whisperx[487].start 22230.755
transcript.whisperx[487].end 22238.341
transcript.whisperx[487].text 設定的這些補助的措施項目來加以宣導或許該改個方向除了委員建立的一戰事之外就從
transcript.whisperx[488].start 22239.77
transcript.whisperx[488].end 22265.487
transcript.whisperx[488].text 身份來做說明如果我是一個災民我是一個農民我是一個漁民我是一個攤販我家裡受到了什麼樣的損失我已經受到什麼我從身份來告訴說你屬於這種身份你就可以看到你所有的什麼可以選擇適合你的我用這種身份來做說明所以院長你也是抓到重點啊你如果這樣一站式的網站是不是大家都方便對不對我災民我也可以自己查看我是什麼樣的需要政府可以幫忙什麼
transcript.whisperx[489].start 22267.288
transcript.whisperx[489].end 22284.586
transcript.whisperx[489].text 這個我們希望能夠改進再來現在我們的公班都到災區去了那災區現在有一個狀況就是如果有些災民的損害遠大於政府的慰問金那他有沒有辦法得到政府的財政上的資源
transcript.whisperx[490].start 22286.118
transcript.whisperx[490].end 22310.581
transcript.whisperx[490].text 比如說我是財民 我收你錢政府現在最多好像十萬加兩萬 最少補助十萬嘛如果你參加我的媒合 最後我有維管再給你補出兩萬 十二萬那如果假設我要收你個好幾十萬你像我剛才去那個浴室 我要看一個八十幾位老阿嬤她的浴室被吹走 她不能洗澡
transcript.whisperx[491].start 22311.767
transcript.whisperx[491].end 22340.669
transcript.whisperx[491].text 我幫他臨時搭一個簡易的類似像我們行軍野戰可以沐浴的場所他用不了多久他現在是可以洗澡了可以有浴室了但是一定要重建像這樣子的話有沒有辦法我們在特別條例裡面所匡列的預算裡面有沒有修補助的一個貸款甚至給予一些利息的補助請主委報告委員 就是針對符合
transcript.whisperx[492].start 22341.549
transcript.whisperx[492].end 22356.342
transcript.whisperx[492].text 請領災後就是復原衛助金的5萬跟10萬的那這個5萬10萬就是衛助跟復原那如果說在8月31號之前媒合完畢有這個簽約的還有一個簽約獎2萬上工獎勵金3萬
transcript.whisperx[493].start 22361.787
transcript.whisperx[493].end 22386.256
transcript.whisperx[493].text 那基本上大概做到這裡那如果是低收入戶 中低收入戶以及關懷戶 這個是有政府區域可是我說我需要五十萬啦 這樣有辦法救我錢嗎這可能沒辦法要不然你就應該協調地方政府啦因為確實有些善心人士一些企業也有一些善款的捐助啦
transcript.whisperx[494].start 22387.034
transcript.whisperx[494].end 22393.644
transcript.whisperx[494].text 有的低收入戶就是說企業去做的時候超過10萬的錢企業要鼓勵民間來認養
transcript.whisperx[495].start 22397.927
transcript.whisperx[495].end 22418.929
transcript.whisperx[495].text 一些邊緣戶啦有關懷戶就是包含脆弱的還有這個特殊記憶的謝謝啦 另外也跟院長建議啦我們要利用這次的颱風還有我們陳指揮官也是等於來跟我們檢驗我們的所謂國安的基礎設施
transcript.whisperx[496].start 22420.831
transcript.whisperx[496].end 22447.208
transcript.whisperx[496].text 其實這次颱風檢驗的結果我覺得非常脆弱我們的基礎建設有南北差距也有城鄉的差距我們應該要很謙虛的來檢討我們這次到底有什麼地方我們可以改善的例如我提到這次最嚴重是因為停電倒過來清氣停那條嘛當然沒辦法啊你等水為了停 也等電就等水嘛
transcript.whisperx[497].start 22449.073
transcript.whisperx[497].end 22461.135
transcript.whisperx[497].text 有的水要用抽水碼來抽甚至很多電信也斷了因為電話公司都走電話條所以有人在提到所謂的電纜或光纖的地下化
transcript.whisperx[498].start 22462.418
transcript.whisperx[498].end 22485.993
transcript.whisperx[498].text 那地下化不是全部啦不是唯一最好的解答啦因為淹水的地方你就不能做嘛但是啊 不會陰水的地方阻幹線通過的我認為應該要優先來地下化而且我很具體的 我很具體的請行政院要來做台17案 台19這些總統也去看 像印度你也去看就台19線
transcript.whisperx[499].start 22487.339
transcript.whisperx[499].end 22502.976
transcript.whisperx[499].text 還有17線 你看到這兩個這是省道啊在沿海地區最主要的南北幹道這從台南 雲嘉南都有通過的那最重要的電線桿都在這上面這面中道啦這面前面就在這因為它受風面非常大
transcript.whisperx[500].start 22503.973
transcript.whisperx[500].end 22520.799
transcript.whisperx[500].text 像這種台17 台19因為它不會淹水你記住設施淹漏去就好這可以先來做電纜地下化如果我們整個在講地下化那地下化要有優先順序然後也要看區域我認為像這種省道的區域應該是可以優先來
transcript.whisperx[501].start 22522.799
transcript.whisperx[501].end 22548.664
transcript.whisperx[501].text 協調台電還有交通部因為路是交通部管的來做這個地好不好另外啦 黑淹水地區跟地前下線地區我們如果能夠克服工程上的困難我們一定想辦法籌措經費逐年來加以改善因為我們發現有一些新的科技工具沒電嘛 怎麼辦後來電話來了民眾的手機也不能用家裡電器也不能充電這個大概有民間的企業提供的啦
transcript.whisperx[502].start 22549.808
transcript.whisperx[502].end 22572.591
transcript.whisperx[502].text 我就放在床頭的大廟前面 大家可以去那裡充電沒電 它這個充電的電源怎麼來它白天是吃太陽能 晚上是用氫能源 氫電池這種移動式的 像這種應該可以我們要檢討一下我們的國安的基礎設施的設備 器具引入一些新科技的東西
transcript.whisperx[503].start 22585.967
transcript.whisperx[503].end 22596.751
transcript.whisperx[503].text 好 謝謝林靜憲委員質詢謝謝 也謝謝卓院長 部會所長的備詢報應會現在下面一位王育民委員質詢本席在這裡報告
transcript.whisperx[504].start 22598.817
transcript.whisperx[504].end 22626.41
transcript.whisperx[504].text 我們今天請行政院院長來立法院專案來報告行政院是受立法院請託結果院裡面一個委員都沒有像這樣的一個狀態對行政院是非常非常不禮貌我再三呼籲黨團一定要敦請委員來參與我們今天專案報告王玉民委員上台質詢之後一個委員都沒有像這樣的狀態
transcript.whisperx[505].start 22628.494
transcript.whisperx[505].end 22639.687
transcript.whisperx[505].text 實在是太不像話本席現在呼籲休息宣布休息之後各黨團請敦請相關黨團的立法委員進入議場休息十分鐘
transcript.whisperx[506].start 23278.725
transcript.whisperx[506].end 23298.95
transcript.whisperx[506].text 謝謝張祺凱委員謝謝劉淑冰委員謝謝蔡宇宇委員謝謝鄭天才委員一起參與我們專案報告歡迎現在議場二樓旁聽的是來自於台北市博物館課程所有的朋友們我們掌聲歡迎接下來請王育明委員質詢蔡宇宇委員請準備
transcript.whisperx[507].start 23305.284
transcript.whisperx[507].end 23308.558
transcript.whisperx[507].text 謝謝院長 我們有請卓院長麻煩再請卓院長備選
transcript.whisperx[508].start 23318.837
transcript.whisperx[508].end 23344.324
transcript.whisperx[508].text 黃委員好院長好 院長救災工作你也辛苦了大家都辛苦 我也辛苦但是我看到其實有一群很辛苦的是更站在第一線救災的人員鄉鎮公所裡面的人員第一個我先幫他們發聲也請院長在救災告一段落之後一定要給第一線就是救災的不免不休救災這些人員給予必要的嘉獎跟獎勵
transcript.whisperx[509].start 23345.504
transcript.whisperx[509].end 23375.224
transcript.whisperx[509].text 我到嘉義縣的時候有的工作人員已經講到哭出來了就是那個工作人員完全沒有辦法回家然後是先生帶著小孩跑到公所來找他就是好幾天為了救災都沒有辦法回家我覺得這種真的在第一線最辛苦的人員或許院長去勘災的時候沒有看到但是這是真實在發生的我請你務必要關注到他們的身心的健康跟安全而且給予必要的獎勵這個可以嗎
transcript.whisperx[510].start 23376.225
transcript.whisperx[510].end 23384.2
transcript.whisperx[510].text 寬道村里長 我都跟他們說謝謝你不僅照顧自己 照顧你的里民 照顧你的村民要遭受很多的任勞任怨 他們真的是辛苦
transcript.whisperx[511].start 23384.636
transcript.whisperx[511].end 23410.622
transcript.whisperx[511].text 好 那接下來我們要來檢討的就是這次整個的災後的救災跟重建工作的確有讓人民不滿意的地方所以民調上面也顯示出來了現在包括雲嘉南的民眾是不滿意度都高於滿意度所以第一個我們應該要檢討的是為什麼這個前進指揮所設置的速度這麼的慢事實上按照災防法第13條第二項
transcript.whisperx[512].start 23411.542
transcript.whisperx[512].end 23430.527
transcript.whisperx[512].text 就是中央災害應變中心可以是災情的情況或者是需要你可以在地方的應變中心或適當地點成立前進的協調所很重要的是要整合救災資源而且要協助地方政府執行救災的事宜
transcript.whisperx[513].start 23431.287
transcript.whisperx[513].end 23453.904
transcript.whisperx[513].text 這件事情在災防法第二項講得非常的清楚但是這一次我要就教院長為什麼其實成立的時間是這麼的緩慢7月6號的風災到7月30號後來才成立了所謂的前進指揮所而且你們界定在是復原但是前面的救災期間真的是非常的需要而沒有設置
transcript.whisperx[514].start 23455.225
transcript.whisperx[514].end 23470.783
transcript.whisperx[514].text 我要問的是你們中央災害應變中心在開會討論的時候有沒有人去review這個第13條第二項或者是主動提出來說我們是不是應該要設置前進指揮所有沒有去討論到這個議題如果有我覺得不會這麼的慢
transcript.whisperx[515].start 23471.603
transcript.whisperx[515].end 23485.353
transcript.whisperx[515].text 我去參加的中央應變中心的工作會議以及所有的資料當中當初確實沒有討論到要不要何時成立因為中央應變中心跟地方政府的應變中心都做很充分的
transcript.whisperx[516].start 23486.161
transcript.whisperx[516].end 23507.649
transcript.whisperx[516].text 必要的一個對口而且隨時溝通中央也負擔起調度支援整個工作從7月6號颱風之後狀況是一直存在但是他並不是繼續在發生但是院長你必須承認一點你自己上午的報告有說有三不足整合的能力不足這個也是這次我看到
transcript.whisperx[517].start 23508.229
transcript.whisperx[517].end 23530.663
transcript.whisperx[517].text 中央最該發揮的是跨部會還有中央跟地方的整合協調能力但是在這一次的風災我看不到第一時間有一個人是站出來在這樣一個位置上面積極去協調負責的就像你7月30號之後你才指定了這個陳金德政務委員他擔任這個角色但是在7月30號之前坦白講
transcript.whisperx[518].start 23531.624
transcript.whisperx[518].end 23558.315
transcript.whisperx[518].text 我沒有看到這個人這個人好像也不是內政部部長照這樣來講內政部部長是災防法的主管機關應該是他擔負一個非常重要的角色在過去的救災的過程當中但是在這一次我們也沒有看到內政部部長的角色然後各部會是各行其事農業部只管他的農損經濟部就是管台電的電力就是大家是在各做各的
transcript.whisperx[519].start 23558.775
transcript.whisperx[519].end 23575.149
transcript.whisperx[519].text 所以我覺得缺乏了一條邊的指揮跟這一個靈魂人物讓你所有的救災工作其實就是慢了下來所以民眾的抱怨才會這麼的多我認為是真的應該要徹底的檢討我具體的建議這個院長未來
transcript.whisperx[520].start 23577.771
transcript.whisperx[520].end 23604.625
transcript.whisperx[520].text 我們還會有風災我們可能會有其他型態的災害我認為在中央災害應變中心你們都必須把這個要不要設前進指揮所列為你們重要的討論事項跟議案在災害一開始的時候就應該有這個議案而且大家應該要去問地方政府的意見問各部會的意見我覺得多了這樣的一個整合中心所有救災的效率
transcript.whisperx[521].start 23605.245
transcript.whisperx[521].end 23617.005
transcript.whisperx[521].text 都會加速很多就像你自己早上在回答的現在設了前進指揮所讓曾經的政委來擔任這個角色之後是不是比之前沒有這樣的角色的時候是更快的
transcript.whisperx[522].start 23617.406
transcript.whisperx[522].end 23644.381
transcript.whisperx[522].text 是我們現在必須做這樣的檢討但是颱風的中央應變中心的指揮官就是內政部長水災的中央那有在指揮嗎這次我看起來就沒有在指揮啊他都主持了16次的工作會議他有去跨部會的整個大家尋求嗎也有那為什麼給大家反應就是抱怨然後覺得速度慢然後沒有效率嗎我說分兩段風災是內政部當指揮官水災是經濟部當指揮官
transcript.whisperx[523].start 23646.022
transcript.whisperx[523].end 23658.253
transcript.whisperx[523].text 風災之後7月6號到28號之間狀況一直存在誰在當指揮官那個時候是內政部當指揮官但他沒有發揮功效因為都在跟地方做充分的溝通728之後
transcript.whisperx[524].start 23660.054
transcript.whisperx[524].end 23688.107
transcript.whisperx[524].text 突然間整個量大起來之後除了經濟部當指揮官之外院長不是728之後整個量大起來剛剛前一位質詢的是台南的區域立委林軍憲委員他也講這一次是風災造成的損害是最大的728是有淹水沒有錯但是他水潰的也壞所以最大的災害到目前為止還是風災所造成的那我就覺得前面的這個救災我們的速度其實是緩慢的
transcript.whisperx[525].start 23688.647
transcript.whisperx[525].end 23715.249
transcript.whisperx[525].text 所以一定要檢討好不好我們必須做這樣的檢討跟委員報告好 謝謝院長跟委員報告好從那個風災7月5號開始到風災結束之後內政部其實透過國土署透過相關的機構我們的人力已經直接介入包括部長直接調替代役的同仁直接進入現場去協助相關的情理市長我要告訴你的就是能量是不足的
transcript.whisperx[526].start 23715.729
transcript.whisperx[526].end 23742.768
transcript.whisperx[526].text 而且沒有把各部會統合起來看起來內政部沒有辦法辦到所以院長我也直接建議你未來其實你必須指定一位政委政委才可以跨部會去協調現在看起來如果比較大型的風災連內政部的量能都不足它不足以去交動其他部會的首長所以這個是我覺得從系統組織面應該要徹底檢討的下一個天然災害我們才有能力來因應這樣可以做到嗎
transcript.whisperx[527].start 23743.508
transcript.whisperx[527].end 23759.319
transcript.whisperx[527].text 我認為需要往這個方向來做檢討謝謝院長接下來在救災的過程當中我認為不可以偏重偏愛難的城市在這次救災當中我覺得很多的資源看起來給台南
transcript.whisperx[528].start 23760.22
transcript.whisperx[528].end 23781.179
transcript.whisperx[528].text 無論是你設了前進指揮中心或者是所有的政策第一時間好像都是以台南為優先我認為這樣的情況應該要去改善這一次的颱風是從嘉義布袋登陸的所以嘉義的影響也是非常的重大我認為在救災的過程當中都一樣重要
transcript.whisperx[529].start 23781.86
transcript.whisperx[529].end 23804.981
transcript.whisperx[529].text 不可以有偏廢因為包括你們去修繕加碼補助曾經的政務委員也都是進駐在台南然後剛剛你們提到的報告裡面你們協助去媒合的這些災後重建17區也都是以台南為主那我覺得嘉義有某種程度被忽略了我希望所有資源的比重都是一樣的這個可不可以做到
transcript.whisperx[530].start 23805.786
transcript.whisperx[530].end 23833.809
transcript.whisperx[530].text 報告委員我們不會有這樣的疏忽啦因為7月5號我就到了彰化跟南投而且颱風之後我第一站去的是嘉義市是我沒有說你的部分了你有到嘉義但是總統的部分賴總統的部分我們真的看到他多次就是前往台南關心當然他擔任過台南市長我們可以理解但是我想中央政府的要員你們在給予資源的時候或關愛的眼神
transcript.whisperx[531].start 23834.249
transcript.whisperx[531].end 23852.424
transcript.whisperx[531].text 就是我希望嘉義縣這次也重創我跟委員報告每一次在台南市政府的民治行政中心比較靠近嘉義開會的時候嘉義縣市的代表都有到場同時一起討論
transcript.whisperx[532].start 23853.525
transcript.whisperx[532].end 23874.596
transcript.whisperx[532].text 只是因為台南的建樹太多了我知道 但是嘉義也受損不少但是慢一個禮拜而已馬上現在已經進入沒合我希望下一次就是同步沒有慢的問題所有的條件都一樣對 不能有慢的問題應該要講究同步實施好不好不要慢一個禮拜的落差第三個我要討論的就是這一次大家一直在強調說應該要從寬來認定
transcript.whisperx[533].start 23877.697
transcript.whisperx[533].end 23895.044
transcript.whisperx[533].text 我真的具體建議既然我們已經要設特別條例了這次災區只要有受損就應該要獲得補助這次我去南下勘災的時候的確有一些農民也好 漁民也好他們的建物本身是沒有合法申請的
transcript.whisperx[534].start 23895.504
transcript.whisperx[534].end 23909.266
transcript.whisperx[534].text 或者是他沒有門牌號碼的但是在這次風災通通都受損了他可能是他建的一個公寮他可能是他設的一個工具室或者是他在漁邊蓋的一個小屋就是他的發電設備那這一些呢都沒有門牌號碼
transcript.whisperx[535].start 23910.908
transcript.whisperx[535].end 23939.965
transcript.whisperx[535].text 可能在政府的認定裡面它不在合法的土地上面但是我認為這個院長我希望這次所謂的從寬是通通都納入有損失就補助因為災民真的非常的辛苦我想你也到第一線去看他們真的是苦不堪言所以既然我們今天立法院也全力支持我們可以有個特別條例我認為從寬那就是有災損有受災就補助不要去認定它合法不合法這樣可以嗎
transcript.whisperx[536].start 23940.305
transcript.whisperx[536].end 23960.066
transcript.whisperx[536].text 我們認為本來就是這樣就是有實際居住不管這個房子是有沒有使用執照是偽章只要有實際居住那工具屋的部分呢那沒有實際居住是一半那工具屋的部分呢就是我講他放置器具的部分呢這一些呢他有一些是工料放置設備的可不可以
transcript.whisperx[537].start 23961.707
transcript.whisperx[537].end 23974.015
transcript.whisperx[537].text 你們再回去研究好不好有的人是房子在那裡他沒有實際居住他可能住台北有些人他就是拿來設置放工具而已我們個案來看
transcript.whisperx[538].start 23978.618
transcript.whisperx[538].end 24000.131
transcript.whisperx[538].text 你們全部去討論另外一點我想幫災民請求的就是這一次你的屋頂整個的維修以中低收入戶為主但是坦白講我必須講跟院長報告在嘉義縣沿海其實很多民眾他不見得是中低收入戶但他的生活其實也不好過而且有些年紀都很大了我親自看過
transcript.whisperx[539].start 24000.871
transcript.whisperx[539].end 24024.923
transcript.whisperx[539].text 它的整個屋頂掀飛之後它現在就是真的非常的克難用這個帆布然後外面下大雨裡面又下小雨上個禮拜一嘉義又下了一場大雨我實地現場看到就是外面大雨裡面小雨然後底下還積水就那個生活條件非常的克難跟辛苦所以我認為這一次所謂的重寬不是只有政府認定的中低收入戶
transcript.whisperx[540].start 24025.703
transcript.whisperx[540].end 24037.819
transcript.whisperx[540].text 其實可以給當地的縣府就是更大的一個權限如果他實際生活是需要的我認為我們政府有能力就是照顧我們的人民這個可不可以再去重寬放寬給予補助
transcript.whisperx[541].start 24039.946
transcript.whisperx[541].end 24064.802
transcript.whisperx[541].text 除了低收入戶跟中低收入戶之外呢會放寬到關懷戶就包括特殊際遇的家庭以及脆弱家庭這個是經社工評定而且鄉鎮公所或縣市政府有立案的那年紀很大的我覺得也需要不只是脆弱家庭好不好如果都是高齡者但他不是中低收入戶他已經沒有能力了基本上是會擴大關懷戶希望可以再繼續去幫忙
transcript.whisperx[542].start 24068.044
transcript.whisperx[542].end 24095.011
transcript.whisperx[542].text 第四個我要講的就是災民安置沒有到位就是這一次其實很多他都是靠投靠自己的親戚用自己很克難的在原來的老屋裡面躲一個房間是不會漏雨的繼續住但是過去在這種重大的災難當中政府有個責任是要協助災民安置的這一次地方政府他的量能跟資源都做得不夠到位中央也沒有給予補助我希望這一點應該要好好的去檢討
transcript.whisperx[543].start 24095.811
transcript.whisperx[543].end 24111.483
transcript.whisperx[543].text 因為未來還會有類似的災難過去我們看到921的地震莫拉克風災它在災民的安置部分都處理得蠻好的但這一次的好像就是放牛吃草就是沒有比較好的一個措施一個好的可以安置的地點
transcript.whisperx[544].start 24112.023
transcript.whisperx[544].end 24130.133
transcript.whisperx[544].text 我希望這一點可以檢討因為時間有限了這個部分你們就回去檢討最後我要講的是不要讓這一次的颱風風災過後造成第二次環境的災難我們可以看到在這一次的災損裡面光電板有11.4萬片石棉瓦有1.56萬噸
transcript.whisperx[545].start 24132.794
transcript.whisperx[545].end 24151.036
transcript.whisperx[545].text 我要問的是現在清除的進度那之前環境部說光電板都沒有問題結果現在堆置的光電板有流出紅色的油污我們問一下來那個內政部長可以先回去我們請環境部長這個紅色的油污是什麼院長你知道嗎你有看到這個新聞嗎
transcript.whisperx[546].start 24152.502
transcript.whisperx[546].end 24179.218
transcript.whisperx[546].text 現場看起來 事後調查應該是生鏽報告委員有兩個因為我們還在採驗水質 過幾天會出來一個是旁邊有生鏽的鐵板第二個可能是車子的油污車子的油污在那邊也有有可能這一個都造成環境的災度的污染然後石棉瓦的問題更嚴重因為它是致癌物這一個量這麼的大我就問 請具體回答什麼時候要清理完畢1.56萬噸
transcript.whisperx[547].start 24181.059
transcript.whisperx[547].end 24189.543
transcript.whisperx[547].text 包委員我們現在其實在包含台南跟嘉義都有快速的在處理當中那目前我們估計大概兩個月內可以全部清完從現在開始的兩個月內所以就是現在是八月
transcript.whisperx[548].start 24197.04
transcript.whisperx[548].end 24222.043
transcript.whisperx[548].text 15號對 應該在9月底之前9月底因為其實嘉義台南有很多無主我們會來檢視這個進度因為當地的居民很焦慮我也在未還委員會我也認為這個對於環境的危害是大的所以拜託這個部長跟院長這一塊的這個重建的速度我們其實是要上緊發跳因為不能讓一次的風災再造成環境的二次危害這個是我們不願意看到的 可以嗎
transcript.whisperx[549].start 24222.443
transcript.whisperx[549].end 24241.676
transcript.whisperx[549].text 好 一定我們照時間來做 謝謝好 謝謝王玉銘委員的質詢謝謝卓院長 相關部會所長的備詢 謝謝我們謝謝葛禄君委員 邱振軍委員 盧先英委員還有陳金威委員共同參與我們的專案報告接下來請蔡宇宇委員發言 邱振軍委員請準備
transcript.whisperx[550].start 24253.168
transcript.whisperx[550].end 24260.304
transcript.whisperx[550].text 好 謝謝院長那我們是不是有請卓院長以及我們陳政委麻煩再請卓院長 陳政委備詢
transcript.whisperx[551].start 24269.898
transcript.whisperx[551].end 24283.028
transcript.whisperx[551].text 蔡委員好 謝謝 辛苦了謝謝院長好 院長丹納斯颱風從布袋登陸登陸的地方就是布袋的新聞我自己的故鄉 我就是在那邊出生
transcript.whisperx[552].start 24283.717
transcript.whisperx[552].end 24307.324
transcript.whisperx[552].text 那丹納斯颱風就是沿著巴掌溪那十七級風加進來所以我們看到從布袋新聞它的變電所是特高壓電塔就倒殺機然後沿路沿著巴掌溪所以我們看到議場包括大廈啦包括幾樓啊沿路的電感可以說無一倖免全部的電感倒光光
transcript.whisperx[553].start 24308.543
transcript.whisperx[553].end 24322.76
transcript.whisperx[553].text 所以他再往外再拓出去這個十七西方的力量所以我們看到有藝族然後在旁邊錄潮然後在旁邊鋪紙甚至以南的台南七九 中軍八甲那些都是電話條的
transcript.whisperx[554].start 24323.761
transcript.whisperx[554].end 24341.546
transcript.whisperx[554].text 倒掉的一個重災區所以從這裡事實上已經可以看出說像這一種氣候的這樣的一個緊急的一個狀況然後十七急風進來的時候我們就看到了說哇 這個很多我們過去的基礎設施它的這個韌性的問題
transcript.whisperx[555].start 24343.446
transcript.whisperx[555].end 24372.188
transcript.whisperx[555].text 那這一次為什麼修復電的時間最長的到了第十天才復電這中間很多台電的人員非常辛苦我們就可以知道說整個電網的問題就在於說他要先修復主幹線主幹線之後才有分期限所以院長包括你第一時間就來布袋你就不會在新聞上再看那個特高壓電塔的一個修復的狀況但是我們如果在那個特高壓的一個電塔我們讓它地下化
transcript.whisperx[556].start 24374.875
transcript.whisperx[556].end 24386.541
transcript.whisperx[556].text 那些特高壓電塔是地下化的也許就不會有因為要先修理特高壓電塔才去修理那些主幹線甚至主幹線如果是地下化的
transcript.whisperx[557].start 24388.147
transcript.whisperx[557].end 24411.168
transcript.whisperx[557].text 這部分可以直接就是可以進入這些台電能源直接就是進入家戶去修理所以我們可以知道說整個我們要強化這樣的地方的基礎建設那這一次的特別條例也有所謂電網的一個強韌要怎麼樣電纜強韌那我認為應該從台電的特高壓以及他的主幹線
transcript.whisperx[558].start 24412.391
transcript.whisperx[558].end 24426.687
transcript.whisperx[558].text 這部分我們是不是就可以先來做給它地下化剩餘的部分再來試這個地方是會陰水還是不會陰水再來考慮要不要地下化是不是院長我們朝這樣來努力是 台電的品工工過去到現在的經驗
transcript.whisperx[559].start 24428.379
transcript.whisperx[559].end 24443.401
transcript.whisperx[559].text 義煙水跟地層下限地區要做地下電纜確實有它自行工程上的困難我們現在如果排除這些個地區之外能夠朝地下化去做的我們在克服工程技術各方面我們來籌措經費逐年來改善
transcript.whisperx[560].start 24444.162
transcript.whisperx[560].end 24466.019
transcript.whisperx[560].text 至於沒有辦法做到地下化的我曾經跟那個爬上屋電線桿上去施工的工程單位的人聊過他們認為他們也希望說比方說不要像現在一整排的電桿同樣的規模我們其中有幾根是特別強韌的讓它倒下來就是一節一節的不會全部整排都倒下來可能是5隻倒下來5隻其他都還在
transcript.whisperx[561].start 24466.539
transcript.whisperx[561].end 24495.314
transcript.whisperx[561].text 如果中間加一段一段的強化的韌性的電線感用比較好的鋼質把它撐起來的話或許可以救急非地下化工程所能夠達到的目標那這個都請台電目前在研究當中我想我們未來再增加電網韌性除了10年有5000億我們縮短到4年來執行之外我們在這次的特別條例跟風災特別條例跟韌性特別條例當中我們都希望可以給台電更多餘的這些經費讓他
transcript.whisperx[562].start 24496.494
transcript.whisperx[562].end 24521.284
transcript.whisperx[562].text 一方面搶修搶險一方面就近的這些韌性加強也在做適度的加強預算好 院長我們很樂見我們要朝這樣的調整強化整個電網的韌性但是我們也知道說過去在做電纜的一個地下化在預算的分配上面可能就是台電要負擔一半剩下一半是地方政府負擔但是我們在這一次知道說這一種
transcript.whisperx[563].start 24525.066
transcript.whisperx[563].end 24547.879
transcript.whisperx[563].text 全面的如果我們真的要去推主幹線的地下化第一地方政府能量負擔這個能量是不足的第二台電現在你叫他負擔事實上他的負擔是很重所以第一個我們用特別條例特別預算來協助這一塊第二個我認為這些主幹線通常是落在地方的公路總局
transcript.whisperx[564].start 24550.289
transcript.whisperx[564].end 24575.795
transcript.whisperx[564].text 包括台17産 台19産 甚至台3産這些心得是在向公路總局如果可以在這部分也負擔他們應該要有的一個相對應的一個責任的話我覺得適度也可以讓台電他們下降很多壓力那這部分你是不是也可以來參考一下我們這個建議是合理的我們往這個方向來做財政結構的這個分配那由中央因為電網
transcript.whisperx[565].start 24576.775
transcript.whisperx[565].end 24580.24
transcript.whisperx[565].text 它是一個國土韌性的問題中央該負比較多的責任
transcript.whisperx[566].start 24580.759
transcript.whisperx[566].end 24607.357
transcript.whisperx[566].text 好 那這部分就我們也是期待啦 為這個特別預算來改觀再來就是說丹納斯後啦 接下來就是強降雨啦所以在那裡 包括泰伯雷他曾經就是在三小時下降了400公里的雨量這個是非常的多 然後接下來整個造成了過去的防洪標準 他沒有辦法
transcript.whisperx[567].start 24608.158
transcript.whisperx[567].end 24624.917
transcript.whisperx[567].text 達到這次的強降雨然後造成很多議題甚至就蔓延的一個狀況所以我也希望說我們為這次的特別條例事實上我們嘉義有很多需要治水的地方是需要這次特別條例來做一個處理
transcript.whisperx[568].start 24625.698
transcript.whisperx[568].end 24642.327
transcript.whisperx[568].text 第一類就是我們的河巴蘇白水這個河巴蘇 院長你也有來看你有來我們浦住家阿含那邊的鄉親甚至我們知道有一個鄉親他流著眼淚然後跟院長說希望未來不要再淹水了但是我們知道這個河巴蘇白水
transcript.whisperx[569].start 24642.967
transcript.whisperx[569].end 24662.516
transcript.whisperx[569].text 事實上他的治理工程已經到達了百分之八十以上的治理但是看起來還是無法應應這樣的一個強降雨過去我們是用二十五年的防洪標準看起來不夠這部分可能需要加強那剩下的包括六角排水他也是用水如果加白水的話實際上他的地利壓不到五十%
transcript.whisperx[570].start 24663.937
transcript.whisperx[570].end 24689.097
transcript.whisperx[570].text 所以他還有後面還有很長一段這一段預算就需要很多如果說我們從過去的前瞻預算啊都只能治理一半的話我希望院長我們這次能不能再特別條例我們以及未來你所說的我們要再用一千萬一千億的特別預算4年一千億特別預算讓這個六角海水全段
transcript.whisperx[571].start 24690.747
transcript.whisperx[571].end 24709.485
transcript.whisperx[571].text 這幾年就可以直接讓他全段可以讓他完成不然你永遠是一段一段走上去你一段一段走上去你還是有一個問題就是說因為你上游的地方它的承載量一旦超出了它就會摸出來摸出來就會去那裡產產的這樣蔓延過去下游的村莊還是都種
transcript.whisperx[572].start 24711.717
transcript.whisperx[572].end 24740.104
transcript.whisperx[572].text 還是全部都會淹水所以這個淹水的問題我們真的是希望要加速過去都卡在說我們基於預算的考量逐年編列逐年編列現在每天風太大風太大就逐年還是要淹水所以這問題我們還是希望院長你能夠在我們包括哈巴蘇白水我們嘉義 六哈白水我們的南京大白這幾條比較重要的我們要都是我們
transcript.whisperx[573].start 24740.984
transcript.whisperx[573].end 24741.444
transcript.whisperx[573].text 我們可不可以這邊用比較
transcript.whisperx[574].start 24749.276
transcript.whisperx[574].end 24777.302
transcript.whisperx[574].text 一次到位的預算然後來解決這裡的淹水問題是的過去我們都比較著重在中央館河川中央館河川的整治率已經相當一個程度了那這一次的四年一千億就是明定他是在縣市館河川的改善計畫所以會進到剛剛委員所說那幾個縣市館的河川那過去縣市館河川他比較沒有自己的能力做那麼徹底的清淤或者整治的工程或者提案的加高
transcript.whisperx[575].start 24777.922
transcript.whisperx[575].end 24788.827
transcript.whisperx[575].text 甚至出海口的這個抽排的增加加強等等那我們希望透過這一次的四年千億的限時緩和專改善能夠把這個部分給它補強回來
transcript.whisperx[576].start 24790.389
transcript.whisperx[576].end 24819.099
transcript.whisperx[576].text 所以跟院長我剛剛有跟你報告的包括六角排水他可能還需要三十幾億你說南進排水全部都加起來我估計可能要再差五十幾億因為過去都是一段一段做所以現在可能預算規模很大那我們就如同院長剛說的我們逐年來編列的我們趕快在這個一千億的預算中然後來協助這一塊但是我要跟院長說從去年的開米事實上我們也看到說
transcript.whisperx[577].start 24819.899
transcript.whisperx[577].end 24841.983
transcript.whisperx[577].text 中央管的河川 輸菌的問題還是持續中去年凱米颱風後我們在第五河川分屬它輸菌了超過400萬方的土方輸菌了這些所以在今年的強降雨巴掌溪沒有溢流了巴掌溪有效果
transcript.whisperx[578].start 24842.435
transcript.whisperx[578].end 24861.255
transcript.whisperx[578].text 但是你看這個沙頂 沙頂落大河結果那些土石流又沿著上流又下來我們就看著說 哇 你看整個巴展溪內 整個上面的土都這樣流下來所以還是要持續要有輸進的一個需求
transcript.whisperx[579].start 24861.855
transcript.whisperx[579].end 24874.788
transcript.whisperx[579].text 所以是不是我們在這一次特別條例裡面它裡面沒有講到疏浚這塊那我自己我提一個對岸我希望可以把疏浚這一塊還是把它納入在我們這一次的災後重建的條例然後持續要有預算
transcript.whisperx[580].start 24877.312
transcript.whisperx[580].end 24897.359
transcript.whisperx[580].text 來做這個重要河川的一個輸進這部分可以嗎中央管河川的輸進我們在年度的公務預算當中就會有所編列那我再來檢討就這一次風災好雨之後優先應該整治地區我們會把它挑出來能夠及時來改善好謝謝院長那接下來再來講農業的問題農業的這次
transcript.whisperx[581].start 24903.203
transcript.whisperx[581].end 24926.602
transcript.whisperx[581].text 實際上想不到啦 這十七級風啦十七級風齁 差不多在我們嘉義我們泰國本來大概是很多青榮返鄉然後在那邊做溫王寺的一個耕作所以那邊的青榮很多都投入然後都做溫王寺那這次這個風這麼強縱使他用吸芯缸或者是他用R管的齁這樣的一個溫王寺都垂海去
transcript.whisperx[582].start 24928.735
transcript.whisperx[582].end 24953.817
transcript.whisperx[582].text 行政團隊也很棒啊 農業部長也是說好 我們要怎麼協助這些青龍讓他們恢復 迅速恢復他們的生產能量好 現在要恢復生產能量 我們說好 我們這個溫王寺補助八成補助八成 這個青龍大家都覺得這樣有感受到我們行政院的一個誠意但是因為災害有很多不同的樣態
transcript.whisperx[583].start 24954.938
transcript.whisperx[583].end 24980.783
transcript.whisperx[583].text 有的是我們是倒的 有的是沒倒沒倒的 他是胖子破了胖子破了 你就要整個換新結果我們就看到了說 你說胖子過去了胖子現在一分地 你要修理好差不多要三十五萬我們就是給他照以往的就是補助十萬一分地補助十萬
transcript.whisperx[584].start 24982.987
transcript.whisperx[584].end 25004.274
transcript.whisperx[584].text 結果就後來就產生了這樣的一個有感覺 會有感覺不講白的就是說如果我溫室是倒掉的倒掉的我補助八成我蓬勃吹去的 吹下去的我比較補助三十五萬 補助十萬 定於三成不夠所以他說乾脆我的溫室整個
transcript.whisperx[585].start 25006.479
transcript.whisperx[585].end 25026.108
transcript.whisperx[585].text 就直接把它夾掉他說它也是毀損 當然這樣不好這樣是不好 而且浪費預算所以我們想這一塊是不是我們在蓬勃上的這塊能不能做一個調整然後讓因為我們現在已經宣布了溫室導調補助八成結果它的蓬勃的部分是不是可以這部分來做一個調整一下
transcript.whisperx[586].start 25027.029
transcript.whisperx[586].end 25054.967
transcript.whisperx[586].text 我跟委員說明這件事情我也注意到了我們在處理溫室設施的部分重建的部分是八成沒問題樹架布的部分因為它是一個消耗性耗材我也去調查了現在所有的這些成本所以我現在正準備從原來的三分之一再往上調一些因為我覺得落差太大所以這個部分我們已經有在處理好 看能不能再調整一下
transcript.whisperx[587].start 25055.546
transcript.whisperx[587].end 25073.709
transcript.whisperx[587].text 那現在青龍 因為青龍要恢復他的工作事實上還是需要時間然後就是要文廣式的修繕可是文廣式的修繕大概有要做我們市的公司的那幾間他們也面臨到缺工的一個問題缺工 事實上他們現在需要工也真的沒有工
transcript.whisperx[588].start 25075.134
transcript.whisperx[588].end 25094.432
transcript.whisperx[588].text 所以有沒有可能在這段時間我們讓這些做溫廣式的他們可能會有工會讓他們工會一樣可以納入所謂的外展的一個制度這樣因為大特區外展他們可能就可以再去聘請一些移工然後來協助這段時間需要密集的來修繕這些溫廣式
transcript.whisperx[589].start 25095.717
transcript.whisperx[589].end 25112.326
transcript.whisperx[589].text 這部分有沒有辦法來協助我跟委員說明外展移工的部分在溫室的確現在的工班也很難處理我們也預估要全部把它重新修好至少要8到12個月會拉得很長所以我想我們會盡快的跟勞動部來協調不過
transcript.whisperx[590].start 25114.187
transcript.whisperx[590].end 25139.246
transcript.whisperx[590].text 引進外籍醫工那個可能必須時間會比較長至少要半年以後的事情所以我們現在就是我們也協調了溫室工會看他們彼此是不是可以做一些比較好的一個分工然後有一些是屬於協助工的部分我們會來幫他找一些比較臨時來做協助的這些人力來滿足他們的需求好
transcript.whisperx[591].start 25140.55
transcript.whisperx[591].end 25156.409
transcript.whisperx[591].text 最後一個議題就是因為我們現在正在講要加速復原可是加速復原的壓力在哪裡在基層 尤其是公所的公務人員但是我們從這一次知道可以很深的感受啦現在工程人員不夠
transcript.whisperx[592].start 25157.049
transcript.whisperx[592].end 25176.45
transcript.whisperx[592].text 工程人員不足 辦理發包的尤其是在公所這一塊公所他建設課的人以最高職等就到八職等所以他基本上是留不住人的他人都會跑到縣政府甚至是跑到中央政府中央政府職等比較高這個職等的一個差距已經造成公所留不住
transcript.whisperx[593].start 25178.865
transcript.whisperx[593].end 25205.123
transcript.whisperx[593].text 接下來就來一個整個的一個進步所以這個是不是院長你可以來檢討一下怎麼讓基層的三級政府可以留得住這樣一個公共的產業好不好你說的有真的家族最好你已經討論過六個跟非六個的整個都拉拉的進去那你現在其實重新再來六個對 那是六個跟非六個但是還沒有處理到產業政策因為產業政策的階段你要有辦法來
transcript.whisperx[594].start 25207.588
transcript.whisperx[594].end 25229.233
transcript.whisperx[594].text 好 謝謝蔡議員的質詢謝謝卓院長 各部會首長的備詢 謝謝好 接下來我們請邱正軍委員質詢郭國文委員請準備
transcript.whisperx[595].start 25244.745
transcript.whisperx[595].end 25248.229
transcript.whisperx[595].text 主席好 我們有請卓院長麻煩再請卓院長備詢
transcript.whisperx[596].start 25258.894
transcript.whisperx[596].end 25280.045
transcript.whisperx[596].text 所有人好 院長好這次我們院長辛苦了不管颱風刮在哪裡 好雨下在哪裡都是在我們的土地受難的都是我們的鄉親所以立法院這一次在支持特別條例的唯一理由就是加速救助不拖延我們這次特別條例編列了560億
transcript.whisperx[597].start 25282.148
transcript.whisperx[597].end 25293.301
transcript.whisperx[597].text 那政院版部分直接說明在災區是台南、高雄、嘉義、屏東另外就是台中、彰化、南投、雲林的部分地區吧所以部長這些地方會適用特別條例吧
transcript.whisperx[598].start 25297.791
transcript.whisperx[598].end 25312.57
transcript.whisperx[598].text 跟我們報告我們在條例草案的第二條寫下說本條例所定的災區因為丹納斯颱風及7228豪雨後受創的地區這個會由未來的主管機關來加以
transcript.whisperx[599].start 25313.271
transcript.whisperx[599].end 25332.516
transcript.whisperx[599].text 就實際自災情況認定之後有行政院來公告我現在要講的就是我們苗栗花蓮台東雖然當然這一次比較嚴重的是嘉義跟台南其實這些鄉鎮這些縣市也都有一些的災損的部分我們也希望說這個部分院長這邊能夠答應能夠把這幾個地區都列入將來由
transcript.whisperx[600].start 25339.39
transcript.whisperx[600].end 25358.71
transcript.whisperx[600].text 實際自災的情況由主管機關來認定之後只要他認定到符合到我們必須救助的這種範圍跟程度行政會就會來公告所謂的災區因為你當時8月2號說要到苗栗來勘災後來臨時取消當然我知道這個有其他地方比較嚴重所以我們也
transcript.whisperx[601].start 25359.651
transcript.whisperx[601].end 25380.027
transcript.whisperx[601].text 不敢佔用你太多時間但我還是希望院長要把苗栗的範圍納進去救助一定要到 人沒有到沒有關係我有誤會我那天並沒有到其他地方那天本來排定了地區但是因為還跟地方接觸過程當中沒有排得很順暢所以就沒有過去看災
transcript.whisperx[602].start 25381.216
transcript.whisperx[602].end 25388.42
transcript.whisperx[602].text 對 院長我跟您確認一下苗栗的報告一下苗栗的狀況就農業部8月5號的統計顯示這是苗栗風災的災損農損金有高達1000多萬元全台農損排名第六名
transcript.whisperx[603].start 25396.764
transcript.whisperx[603].end 25412.957
transcript.whisperx[603].text 那屏東台中高雄嘉義南投這是前五名都進了可是唯獨苗栗沒有進入但是當然我也要謝謝農業部農業部已經把這個我們苗栗的農損部分已經馬上做了處理每公頃是補助8萬元但我現在發現一個問題就是說
transcript.whisperx[604].start 25417.6
transcript.whisperx[604].end 25436.769
transcript.whisperx[604].text 我們這八萬元是補給我們農民之前的損失嘛 對不對這一年來的辛苦它已經就化為泡沫了那現在碰到一個問題就是說這些弱果跟一些還在殘留在樹上的這些果實它現在開始天氣放晴之後開始爛了開始臭了開始有這個病媒紋啊 長蟲了
transcript.whisperx[605].start 25442.272
transcript.whisperx[605].end 25460.272
transcript.whisperx[605].text 這部分我有請教過農業部也請教過環境部這兩個部會都沒有說沒有科目可以來補助院長你可不可以承諾把這個部分也納入清除的部分我想說農業廢棄物的清除的部分也納入這一次的特別條例裡面
transcript.whisperx[606].start 25461.182
transcript.whisperx[606].end 25480.171
transcript.whisperx[606].text 等一下請部長報告就算沒有納入災區就算他原來的災損以及後續的作為農業部還是有災損準備金等等可以來因應他只是沒有進到特別條例特別預算裡面因為他們沒有科目農業部跟環境部都沒有這個科目他們想幫忙也幫也幫不了你懂我意思嗎
transcript.whisperx[607].start 25480.931
transcript.whisperx[607].end 25505.46
transcript.whisperx[607].text 我跟委員報告像我舉個例子就像紅棗紅棗有的在樹上有的在已經掉到地上了我們也曾經問過一些紅棗的果農其實他們也不願意人家因為有些東西他們還可以做加工用如果說這些果園的清除他要把清除物移到他的果園固定的位置的話我們會跟環境部一起現在就是清除的問題
transcript.whisperx[608].start 25506.3
transcript.whisperx[608].end 25524.509
transcript.whisperx[608].text 他有些東西可以用沒有用但是我看到這一次的摘水他其實都已經八成以上不能用了你說要再篩成紅棗乾那幾乎不太可能那當然你有講到說農民不希望人家進去他的果園那現在就是他還是要請人去處理你給他這一公頃八萬塊剛好清理完了他就沒了
transcript.whisperx[609].start 25525.389
transcript.whisperx[609].end 25547.679
transcript.whisperx[609].text 我想要跟委員報告我們天然災害救助是一個救助的精神去協助它盡快的復耕您剛才講的果園的清除的部分有一些它如果必須的時候也許我們會透過一些農會的系統來個案的協助因為我們也問過非常多的果農他們自己也願意做加工你要怎麼協助 你直接講好了
transcript.whisperx[610].start 25547.959
transcript.whisperx[610].end 25574.205
transcript.whisperx[610].text 我舉個例子 我們之前在文旦的部分我們就號召了一些青龍有沒有他們可以來協助他 他如果真的需要我們可以來號召所以這個部分等於說類似社區自助的話我們要找誰 經費從哪裡來這個不需要特別的經費我們用號召的方式可以來處理一些如果真的需要 特別他年紀大的你講這樣我聽不太懂啊不是 我想有一些年輕的我號召那麼久沒有人啊
transcript.whisperx[611].start 25574.645
transcript.whisperx[611].end 25596.48
transcript.whisperx[611].text 不是 我要跟委員報告有些年紀大的人他比較困難的部分我們就會來協助有一些年紀輕的人他對於已經落下的這些果實我講真的是很籠統我希望你納入之後你要有一些其實費用不是很多 院長在這個560億裡面其實那個占比是非常非常小的
transcript.whisperx[612].start 25597.2
transcript.whisperx[612].end 25624.124
transcript.whisperx[612].text 那我希望你體現一下農民我不講苗栗這個其他地方也會發生其他的水梨 葡萄這些都會受到影響都會有同樣的問題發生是不是我們一定要納入當然你要符合規定符合這一次的這個封災特別條例的規定裡面你如果符合我們就給你協助這樣最好各位委員 即便是非災區部分在丹拉斯颱風受到災損的農損各方面
transcript.whisperx[613].start 25624.784
transcript.whisperx[613].end 25645.118
transcript.whisperx[613].text 工程會是有一個專案的他只要報到這個專案來我們又可以用特統的經費來予補助真的是沒有問題的可以嗎 你把清除的費用拿進去可以嗎工程會在針對丹納斯颱風有公告一個專案各縣市政府相關公共設施或相關的受損那麼可以向工程會來提出
transcript.whisperx[614].start 25645.678
transcript.whisperx[614].end 25661.255
transcript.whisperx[614].text 農業部分清除也有嗎經過審查之後會核定到時候就會有用統籌分配稅款來處理你不是用救災條例啊雖然沒有在這個條例裡面同時可以用專案來處理
transcript.whisperx[615].start 25662.898
transcript.whisperx[615].end 25691.769
transcript.whisperx[615].text 就是非災區也可以用這個專案來處理好啦 那希望說這個我剛剛講三個重點就是農業廢棄物的清除跟苗栗的納入還有我們苗栗縣還有一件事情就是我們泰安鄉62-1縣這728豪雨過後然後過了幾天發生攤方結果壓死了兩個我們苗栗的鄉親其實那一條路一直以來 去年我也有請我們交通部也下去考察過
transcript.whisperx[616].start 25693.812
transcript.whisperx[616].end 25707.541
transcript.whisperx[616].text 當時看的是62線所以那一條路其實一直以來都是非常危險希望我們院長也能夠盡快的來協助我們這個比較常常發生意外的這些地方來盡快做協助好嗎
transcript.whisperx[617].start 25708.613
transcript.whisperx[617].end 25722.623
transcript.whisperx[617].text 我會請交通部進一步了解之後我們試狀況來跟地方做溝通來解決問題那院長我再請問一下災後特別條例編列了560億那各部會佔這個估算的分配金額大概是多少
transcript.whisperx[618].start 25723.459
transcript.whisperx[618].end 25740.636
transcript.whisperx[618].text 有這樣分配嗎我們有十大項分成在各部份裡面我們有沒有這個重建計畫有沒有提出重建計畫十大項裡面就是有一些復原的工作包括自來水 水利 家園 農業電力跟電訊系統都有很多的相關的復原計畫
transcript.whisperx[619].start 25742.217
transcript.whisperx[619].end 25758.571
transcript.whisperx[619].text 都有 現在都已經做了這個什麼重建計畫也做了我們在條例通過之後我們會編特別預算那裡面的計畫就會更明確就會寫得更清楚會再通到大院來審議我們823的罷免行政院有沒有派人 派支援派部會去 這個系統去支援
transcript.whisperx[620].start 25760.252
transcript.whisperx[620].end 25778.621
transcript.whisperx[620].text 823的罷免案行政跟罷免從來沒有投入沒有嘛 那我們衛福部的次長為什麼頂著衛福部次長的頭銜公開跑去安撫這個罷團我要講這個意思是說他是行政的 他是政務官那現在救災比較重要怎麼還有時間去搞這個罷免呢院長你覺得勒你覺得他這樣合適嗎
transcript.whisperx[621].start 25788.971
transcript.whisperx[621].end 25811.067
transcript.whisperx[621].text 市長的行程我在進一步來瞭解我們還是以政務 以救災以政務的推動為主要其他的都不是在我們政務的範圍裡面因為現在才要開始救災希望你們一直認真下去因為重建這個路是非常漫長的當初我們院長你說剛剛講到說這個重建計畫大概這個通過之後你們就會送過來嗎
transcript.whisperx[622].start 25816.718
transcript.whisperx[622].end 25841.72
transcript.whisperx[622].text 特別預算一定要送到大院來審理那盡快啦 好不好好的 謝謝另外 我再請教我們這次颱風我們光電板的災損大量集中在六個案場包括永興的興溫製紅池力生能源的漁電共生雲豹能源的漁電共生還有另外三個泰商投資的製紅池的案場
transcript.whisperx[623].start 25842.813
transcript.whisperx[623].end 25862.947
transcript.whisperx[623].text 那這六個案場的這個災損量占了整體災害的大多數我的問題很簡單清完了之後我請教院長你打算讓它原地復活嗎對不起 你要讓它它如果受損嘛 對不對那現在重建之後你要再讓它原地復活嗎
transcript.whisperx[624].start 25864.247
transcript.whisperx[624].end 25879.317
transcript.whisperx[624].text 我到過兩個案場我們到過嘉義兩個案場去看有的業主他很積極在做這個善後的工作但有的業者就是比較慢我覺得對比較慢的業者如果他拿不出誠意出來我覺得我們沒有必要在公共政策上跟他做任何的配合
transcript.whisperx[625].start 25879.557
transcript.whisperx[625].end 25894.735
transcript.whisperx[625].text 部長我請問你就是說我們國際上災後的光電暗場都有測出受損的光電板可能釋放鉛跟鎘這些重金屬所以我們這一次的這些現場的土地我們需不需要再做檢測
transcript.whisperx[626].start 25895.837
transcript.whisperx[626].end 25914.636
transcript.whisperx[626].text 我們都兩個禮拜有監測一次那過去三次的數據裡面沒有任何我們災後都有監測目前沒有任何的重金屬的污染所以就不用再做檢查就對了我們會這一次的風災造成這麼大的影響我們未來有沒有要重新檢視抗災的強度
transcript.whisperx[627].start 25916.739
transcript.whisperx[627].end 25934.84
transcript.whisperx[627].text 因為我們有跟經濟部有提出我們建議針對大型的案場可能要來一個比較大的體檢例如說大型的可能有一兩百個那可能做一個體檢如果說他沒有安全疑慮例如說他的建築結構或是說他的清運防災等等如果沒有疑慮的話我們認為是可以放行的
transcript.whisperx[628].start 25935.771
transcript.whisperx[628].end 25946.87
transcript.whisperx[628].text 所以你認為說已經不需要再做換變我認為是要重新再做體檢因為我好那我再問你他現在在復原之後那下一個颱風來又再造成這個今天這種狀況怎麼辦
transcript.whisperx[629].start 25948.371
transcript.whisperx[629].end 25967.638
transcript.whisperx[629].text 基本上這一次其實就是只有在滯洪池上面其他的固定式的我們發現問題不大甚至有一些屋頂他們用太陽能這是他們的損失會包含在561里面嗎基本不會 那是他們自己要清運政府不用出一毛錢不會補助他嗎不會 完全不會完全沒有嗎完全沒有 請大家放心
transcript.whisperx[630].start 25968.078
transcript.whisperx[630].end 25995.821
transcript.whisperx[630].text 那我再來問就是雲報北門這個案場雲報能源跟恩富資本2022年底啟用說是全台最大的漁電共生這預估20年的收益將會200億也就是說每年10億那它當然它還是全台第一件的光儲合一的案場那經濟部能源署第一批結合光電儲能跟台電的標案就是配電的標案是全台第一件
transcript.whisperx[631].start 25996.724
transcript.whisperx[631].end 26012.338
transcript.whisperx[631].text 那我想質問一下這麼高規格高產值高話題的案場結果颱風未來幾萬片全部都變成六大重災區的那當時我們北門和七谷都有停電紀錄對吧 有嗎當那是颱風當天雲豹的案場現在我們應該都有在處理不是我是說當天那邊有停電嗎
transcript.whisperx[632].start 26025.393
transcript.whisperx[632].end 26054.203
transcript.whisperx[632].text 有沒有停電報告員停電嗎報告員其實那個我有現場看那個暗場其實那個暗場是固定式的它的災損沒有像這個餘溫的那個滯洪池的那麼嚴重所以它當時沒有在災後沒有周邊都沒有供過電它能不能供電它的儲能廠能不能供電基本上它的受損的情況沒有像新溫的那幾個那麼嚴重所以它的電還沒有也沒有在做使用對不對它儲能的電沒有用
transcript.whisperx[633].start 26055.697
transcript.whisperx[633].end 26071.991
transcript.whisperx[633].text 他的這個暗場因為不是在那個制宏池上面的他是在一般的這個土地上面我是說因為光電板已經翻了嘛對不對現在是停電嘛那他那個儲能廠到底有沒有發生作用有沒有供電他在那個地方儲能的話因為
transcript.whisperx[634].start 26073.373
transcript.whisperx[634].end 26090.535
transcript.whisperx[634].text 因為他那個儲能沒有辦法把電送出去照理電線桿倒了這些還是可以用啊不是他就馬上可以發揮作用嗎不是 他那個電要能夠送出去啊儲能的電要能夠送出去接台電所以我們 報告委員現在我們未來啊會在這個地區上面實施這個智慧電網
transcript.whisperx[635].start 26091.676
transcript.whisperx[635].end 26119.503
transcript.whisperx[635].text 也就是說在那個儲電的話就可以供給這個附近的這個我現在要講的就是這樣子就是說我們這個儲電廠當它發生狀況的時候就像這一次電感都倒了這個時候是不是能發揮作用讓附近的這個居民都有電用對 將來會這樣將來會就像委員剛才所指教的這個部分來處理因為這個不然你這個儲電廠就等於白做了不是嗎對 是再來最後一個
transcript.whisperx[636].start 26123.188
transcript.whisperx[636].end 26144.998
transcript.whisperx[636].text 我還是希望我們特別條例之前沒有法律效益在那邊拿著它是沒有辦法主張任何權益我希望院長能夠把內容加到我們條例裡面可以嗎哪一段的內容就是所有的 所有的寫清楚
transcript.whisperx[637].start 26146.563
transcript.whisperx[637].end 26164.795
transcript.whisperx[637].text 每一個補助的項目可以嗎我們會在特別預算當中清楚的把每一項都標示出來它有多少的預算的規模它裡面要怎麼執行都會向大院來提出做審議的好 謝謝院長謝謝 謝謝委員好 謝謝邱振軍委員質詢謝謝卓院長 相關部會所長備詢 謝謝接下來我們請郭國文委員質詢蘇清泉委員請準備
transcript.whisperx[638].start 26189.271
transcript.whisperx[638].end 26191.493
transcript.whisperx[638].text 謝謝主席 有請卓院長還有陳政委麻煩再請陳政委備詢
transcript.whisperx[639].start 26203.186
transcript.whisperx[639].end 26224.912
transcript.whisperx[639].text 郭委員好 謝謝總院長 國勢如馬 天災不斷面對難關我們一起度過本席其實在去年10月的時候選區當中的麻豆增穩地區受到台米颱風的影響 水災今年初的時候在南西的部分遇到地震
transcript.whisperx[640].start 26226.271
transcript.whisperx[640].end 26240.142
transcript.whisperx[640].text 到今年7月的時候又遇到風災當然是颱風所造成的其實120年來第一次的經驗我覺得到目前為止我們當然是颱風還沒有恢復結果明天又有新的颱風要來
transcript.whisperx[641].start 26241.519
transcript.whisperx[641].end 26266.03
transcript.whisperx[641].text 但現階段到這個尾聲的階段比較接近一個重建的階段是在於這個屋頂之前是蓋房不現在蓋屋頂政委這邊也清楚他也在緊急的進度但是我盡量從一個抓漏還有民怨可能會累積的地方來跟行政院這邊做討論第一個在一般戶的部分還有弱勢戶的部分現在在進度上是有所差別的
transcript.whisperx[642].start 26266.63
transcript.whisperx[642].end 26282.447
transcript.whisperx[642].text 大部分現在行政院下去所做的事情都是屬於一般婦的媒合一般婦媒合的這個機制當中還有一個上公津貼還有一個提早媒合的講不住但是對一般的民眾當中他已經自行修繕了他就覺得沒有
transcript.whisperx[643].start 26283.63
transcript.whisperx[643].end 26309.683
transcript.whisperx[643].text 這倒是給廠商還是給一般民眾這可能要陳政委說清楚另外一個部分是弱勢戶的部分弱勢戶的部分有自行修上完成也有包括是愛心團體幫他協助做完的但是還有一堆熬熬待補等待政府去協助他了但是整個公共工程緊急發包的方式雖然已經下放到地方可是地方到目前也都還沒有啟動
transcript.whisperx[644].start 26310.763
transcript.whisperx[644].end 26334.11
transcript.whisperx[644].text 也就是說前面這個一般戶的媒合太少但是後面的這個部分的速度太慢我想這恐怕會累積民怨的地方我想要跟陳政委跟院長講一下是不是不要有任何的差別待遇政府該給的一般戶的全部都有該給這個弱勢戶的譬如講我弱勢戶我已經自行舉借或者以自己的存款已經蓋了
transcript.whisperx[645].start 26335.751
transcript.whisperx[645].end 26345.484
transcript.whisperx[645].text 結果我已經蓋完之後我沒有收到你的媒合也沒有拿到你公家資源你是不是應該把相同的補助給我是不是這樣子 政委跟委員報告
transcript.whisperx[646].start 26349.69
transcript.whisperx[646].end 26377.857
transcript.whisperx[646].text 一般戶五萬十萬這個叫復原未租金上供津貼一萬五或三萬是給廠商的但是廠商總是你如果已經做好了當然你業主要有個證明有個合約或有個證明透過受災戶的證明這個錢是給廠商的每盒是兩萬塊保固是台南市政府負責或嘉義縣政府負責
transcript.whisperx[647].start 26378.977
transcript.whisperx[647].end 26406.256
transcript.whisperx[647].text 弱勢戶現在是全部有政府負責有政府負責的意思就是臺灣市政府去付然後行政會補貼那一天的指揮會議我特別去我也建議說弱勢戶要處理只是弱勢戶現在的定義範圍我們還沒有出來有就是說從200多到1500全面性的認定定義是一個第二個部分有些弱勢戶我重點弱勢戶他自己已經出資或借款已經蓋完了這個部分
transcript.whisperx[648].start 26407.236
transcript.whisperx[648].end 26427.352
transcript.whisperx[648].text 雖然它已經完成地方政府還有包括打去這個災防辦的地方大家都說這個已經蓋完就沒了就沒有補助了不應該是如此啊我就要確立一個平等的原則啦做市戶十萬五萬這個今天有 因為它沒有媒合當然不能領取這兩萬塊嘛
transcript.whisperx[649].start 26429.973
transcript.whisperx[649].end 26442.949
transcript.whisperx[649].text 那目前的狀況呢已經安排煤合中的1917戶完成簽的217戶那個數字我都知道我現在跟你不是在談數字不是談業績我現在跟你談公平性的問題
transcript.whisperx[650].start 26444.335
transcript.whisperx[650].end 26469.211
transcript.whisperx[650].text 就是重點是說我雖然沒有經過你政府的媒合但是我已經自行修繕了經過政府媒合你有補助給他我自己修繕我居然沒有拿到補助還是借款跟委員報告我們自行故供在9月底拆除的我們也會補助兩萬塊那相關的媒合工班我們也會全力來負責政府的補助所以要平等啦我意思是說要平等一般戶的部分自行或者是經過政府媒合的
transcript.whisperx[651].start 26469.591
transcript.whisperx[651].end 26489.339
transcript.whisperx[651].text 都應該要給他們就是我第一個現在就剩下我意思是說弱勢戶本來政府免費替他做嘛他現在已經自己出錢做了嘛是不是因為我們定義在後嘛我們犯規是在後面今天在指揮所那個顧問還在召集會議這個會跟台南市政府跟嘉義縣政府談出一個
transcript.whisperx[652].start 26490.359
transcript.whisperx[652].end 26513.073
transcript.whisperx[652].text 上限或時間如果這個上限跟時間談出來了將來說這個弱勢戶呢他有可能是工班已經現在是工班免費都替弱勢戶因為我們定義在後嘛我們範圍補助的對象是在後面他是在前面自行修復的那這一部分是不是容我來追溯最後來討論就是說上限確定了
transcript.whisperx[653].start 26514.054
transcript.whisperx[653].end 26539.552
transcript.whisperx[653].text 時間確定了那他是不是要有一些證明本席的建議就是對 要證明之後讓他結束他有證明 他有付款證明會有一些合約那我們應該到什麼程度那這個我們在討論中跟委員報告 也許我們阿三日啦 政委 我在講啦中央的善款3.5億啦地方也快1億了 4.5億了這個還有什麼還有什麼需要再討論的本席在這邊問你就是這個可能是民怨的地方
transcript.whisperx[654].start 26540.68
transcript.whisperx[654].end 26566.997
transcript.whisperx[654].text 要扁扁坎坷人你政府要不說要補助 我已經先做了後面你說政府要補助你後面你就要補助 政府要不補助 都有這個事情嘛還需要討論若師傅大概幾百戶啦現在已經故宮做了大概不多啦又不是沒有錢 不需要討論到哪裡去啊這個不會構成問題啦所以我們把上限跟時間定出來之後會針對委員關心的那特別來評估啦能錢解決的問題都是小問題啦
transcript.whisperx[655].start 26568.237
transcript.whisperx[655].end 26586.923
transcript.whisperx[655].text 好 接下來石棉瓦的問題石棉瓦的問題 我說在現階段的石棉瓦預估那一天環境部講說10萬噸但是至少回損有1萬噸為了避免二次傷害的情況底下現階段的石棉瓦以環境部在負責的內政部先慢點走
transcript.whisperx[656].start 26589.175
transcript.whisperx[656].end 26611.68
transcript.whisperx[656].text 董事長有你的業務現在你目前處理的是運的部分你要花兩個月的時間把它運可是重點運的前面是猜猜 現在民眾猜 現在人心惶惶人心惶惶 我給你看一張照片你後面一個照片 這兩個小孩子
transcript.whisperx[657].start 26613.001
transcript.whisperx[657].end 26631.159
transcript.whisperx[657].text 只有手套 沒有防霧鏡 沒有口罩更不要說還成衣他來處理石棉瓦你在看前面那張照片前面那張照片 你看鄉下地方這個整陶有三分之二的地方都是什麼 都是石棉瓦
transcript.whisperx[658].start 26632.837
transcript.whisperx[658].end 26660.641
transcript.whisperx[658].text 石棉瓦過去大部分都在中南部嘛我意思是說是不是把這個清的專案這7.8億之外前面要請院長能不能做個材質拆跟運不是拆它只有運它沒有清拆清拆應該是找農業部就是譬如講畜牧業占了很多地方是石棉瓦的或者是生活所需的需要拆的工班有的是那個內政部清是不是從清跟拆把它合併來做思考
transcript.whisperx[659].start 26662.383
transcript.whisperx[659].end 26673.821
transcript.whisperx[659].text 趁這個機會呢 化為機為轉機過往我們在推這個十面碗的時候都是被動的 就是你來跟我申報化被動為主動 趁這個機會有回水你只要報 我來幫你清
transcript.whisperx[660].start 26674.946
transcript.whisperx[660].end 26692.311
transcript.whisperx[660].text 我來幫你清理原因說一般的民眾他不會去買護目鏡N95口罩或者買防塵衣嘛按照勞動部的標準是要這樣子他怎麼可能一個小小的建築物然後做這麼大的功夫呢就乾脆由政府來協助從拆到運一併處理院長有沒有可能
transcript.whisperx[661].start 26694.372
transcript.whisperx[661].end 26712.183
transcript.whisperx[661].text 報告委員 其實差異的部分例如說一般的民宅是由國土署那邊來有便利經費你去申請就有那如果一般農畜設施農業部來那我們是負責清最後的去化在本席還沒有協調之前國土署連要帶N95口罩那些工班還不曉得還勞動就是協助的
transcript.whisperx[662].start 26712.583
transcript.whisperx[662].end 26726.049
transcript.whisperx[662].text 哪來的清的計畫你清的計畫預算在哪裡你現在應該趁這時候重建計畫當中把這個清除跟運的部分一併處理而且以你目前的狀況所有7.8億的清收專案當中
transcript.whisperx[663].start 26728.67
transcript.whisperx[663].end 26744.646
transcript.whisperx[663].text 基本上是補助給地方有7.8億一般的行情一噸大概是3萬8你這可以清到2萬噸之多對 差不多可以清到2萬噸之多所以這種情況底下你應該把擴大這個範圍由政府主動
transcript.whisperx[664].start 26746.027
transcript.whisperx[664].end 26771.878
transcript.whisperx[664].text 來協助趁這個機會化為機會轉機把這個石棉瓦一併來做處理跟委員報告我們在第一時間就已經跟環境部跟勞動部都討論好了我們其實也進入進去協助相關的清除包括說要協助第一線的工班怎麼樣子拆除這些相關的石棉瓦的工程以及後續的清除作業相關的經費的部分我們也非常感謝環境部也都給我們支持相關的經費也都會下去會一起來協助
transcript.whisperx[665].start 26773.238
transcript.whisperx[665].end 26790.406
transcript.whisperx[665].text 放在這7.8億當中那麻煩院長找個時間正式一個新聞稿都要公佈到現在民眾還不知道政府可以幫忙協助清如果可以協助清到運的話我覺得這對整個災區的話的重建會是一大的幫助另外一個部分我也跟院長說明一下
transcript.whisperx[666].start 26791.306
transcript.whisperx[666].end 26812.023
transcript.whisperx[666].text 就我的理解從這個生活的重建之後還後面還有生產的重建生產的重建的部分就是經濟部的部分經濟部以目前為止所提出來關於這個當然是颱風的專案跟728的這個水災的部分還是COPY0403的這個專案0403是地震所造成的
transcript.whisperx[667].start 26812.645
transcript.whisperx[667].end 26823.423
transcript.whisperx[667].text 可是後來的當然是颱風還有爆發728都是風災跟水災樣態不一樣產業型態也不一樣產業型態的部分它最多的機械補助只有1.5兆
transcript.whisperx[668].start 26824.557
transcript.whisperx[668].end 26847.368
transcript.whisperx[668].text 青青彩彩的也一台CNC那一台 他們對那一台不太多他10萬是可以做什麼這第一個要去考量範寬這個理賠的項目也要提高一定的金額不要停留在0403甚至工廠毀損之後他有可能需要租金補貼等等這個都需要處理
transcript.whisperx[669].start 26848.408
transcript.whisperx[669].end 26866.658
transcript.whisperx[669].text 回憶一樣不一樣了就是扛棒如果壞的話生財工具如果損失的話會多補助一萬我花了那麼多力氣去跑一個補助一萬的案子一萬塊基本上我要找那個吊車都很困難扛棒那是需要吊車的你一萬能做什麼
transcript.whisperx[670].start 26867.697
transcript.whisperx[670].end 26896.669
transcript.whisperx[670].text 就真的在賠償當中一萬真的沒有辦法做什麼服務業的問題也是面對這樣子所以我也請院長督促一下經濟部不要再copy0403啦這不一樣的案件啦 好不好還有在農業部的部分喔農業部的部分全品項說得很好但是事實上全品項的部分只有六項以至於很多民眾在等待要去勘查
transcript.whisperx[671].start 26897.895
transcript.whisperx[671].end 26922.046
transcript.whisperx[671].text 岸線非常的多到目前為止地方的執行率非常的低真的是難以消化所以我是不是跟農業部建議一下這個全品項免線攤的部分是不是有放大的可能兩種基準一種是農產品屬於長期的作物另外一種是它種植的面積是範圍很大的這一種都容易受到災損
transcript.whisperx[672].start 26923.504
transcript.whisperx[672].end 26932.101
transcript.whisperx[672].text 這種範圍當中 是不是可以把它放大以致於現在很多民眾去申請了都沒那麼多地方的能量沒有那麼多
transcript.whisperx[673].start 26933.354
transcript.whisperx[673].end 26955.429
transcript.whisperx[673].text 是不是考慮一下部長我跟委員報告全品項跟免現勘是兩件事情我們全品項已經公告了免現勘我們也針對台南地區我們也是一看再看就是它沒有辦法具有普遍性因為它的災害可能不同的地區是不一樣的一旦免現勘的話等於說你都不用勘災全部理賠
transcript.whisperx[674].start 26956.489
transcript.whisperx[674].end 26979.195
transcript.whisperx[674].text 所以我們現在六項最主要就是大眾的像玉米玉米這種高精作物的我們就照委員那時候的建議但是去申請理賠的非常的多但是問題是說你現在不要讓人家嗷嗷逮捕就是說是不是有放寬的可能性譬如講這範圍比較大你去評估一下譬如講竹筍或者香蕉香蕉都整片的
transcript.whisperx[675].start 26981.675
transcript.whisperx[675].end 27004.8
transcript.whisperx[675].text 熔岩 蓮子等等這些東西基本上它屬性是不一樣的去考量一下減少太多民眾期待過久所造成的抱怨 部長我了解你給我一個部分還有部長溫室網這次補助的層數調整得不錯但是我們上次在開記者會的時候有提到是不是在這次重建條例的時候來思考一下
transcript.whisperx[676].start 27005.941
transcript.whisperx[676].end 27015.578
transcript.whisperx[676].text 溫室網的部分因為它有一定程度的資本的門檻用已租放貸的方式來做處理把它納入重慶的思考有沒有可能
transcript.whisperx[677].start 27016.107
transcript.whisperx[677].end 27037.612
transcript.whisperx[677].text 我跟委員報告就是乙株代購的方式是一個非常好的構想而且是應該往這個方向去走但是現在因為溫室業者的工班全部在處理現在的溫室重建所以我們現在在規劃用專案的方式找到適當的地點特別是可能跟台南的地有因為地要沒有問題然後再看看
transcript.whisperx[678].start 27038.332
transcript.whisperx[678].end 27058.053
transcript.whisperx[678].text 業者願意進來蓋的時候我們用融資的方式來處理然後租給農民我們會用小規模的方式先來處理那等這一次的溫室全部他們重建以後後續他們就有資金跟比較有量能來做一些建設這樣的話才能夠往後往前走對 把它建構一個新的模式出來
transcript.whisperx[679].start 27059.094
transcript.whisperx[679].end 27086.174
transcript.whisperx[679].text 另外一個部分其實我跟院長說明一下過去以前我們在思考天然災害的孤島下流都停留在山區以土石流為主但這一次的孤島下流是發生在海邊今年7月份內政部所公布的指數可能會一直造成孤島的部分發生在哪裡發生的全部都在海邊都土石流台南連一個位置都沒有但是這一次海邊全部都是孤島完全都斷訊了
transcript.whisperx[680].start 27087.515
transcript.whisperx[680].end 27109.946
transcript.whisperx[680].text 所以這個部分是不是能夠在這個思維當中能夠經濟部建構微電網在海邊的部分還有包括通訊 儲能設施基本上以及目前農業部所說的漁電共生的部分不要一個單線的傳輸到台電而能夠跟社區共生的可能性是 報告委員
transcript.whisperx[681].start 27125.46
transcript.whisperx[681].end 27127.643
transcript.whisperx[681].text 好 謝謝郭國文委員資訊謝謝卓院長 相關部會首長的備詢 謝謝
transcript.whisperx[682].start 27145.37
transcript.whisperx[682].end 27162.017
transcript.whisperx[682].text 好 接下來我們請蘇清泉委員質詢陳冠廷委員請準備好 謝謝主席我們請卓院長還有農業部陳部長麻煩再請卓院長備詢農業部陳部長
transcript.whisperx[683].start 27175.188
transcript.whisperx[683].end 27193.673
transcript.whisperx[683].text 主委好 鳳太又來了 楊柳我今天在中島進行 各地旁邊一間發布海上颱風警報 陸上颱風警報也發布了這間你看這個島 這間台東 屏東 高雄 台南 還要下去
transcript.whisperx[684].start 27203.374
transcript.whisperx[684].end 27210.482
transcript.whisperx[684].text 啊 你的一萬塊我當時要發財再去 再去 楊卓英你給我回答說要不要想我媽啊
transcript.whisperx[685].start 27215.397
transcript.whisperx[685].end 27236.954
transcript.whisperx[685].text 一萬塊要發一萬塊的 要給誰擔保收費我們在強化韌性條例的特別條例當中總統已經公告了大約修正後的特別條例公告以後就會生效我們現在認為這個對於現在產業的支持或許還有調整的必要 也對於
transcript.whisperx[686].start 27238.415
transcript.whisperx[686].end 27258.874
transcript.whisperx[686].text 電網的民生系統維護還有增加的必要那對弱勢是不是要做多一層的考量那除了這些之外基本上它會維持原來在大院所通過的特別條例的內容我們在修正之後再通過之後我們再編訂特別預算去執行新加坡管理庫發發就發展韓國總統一上任
transcript.whisperx[687].start 27263.154
transcript.whisperx[687].end 27291.576
transcript.whisperx[687].text 不到一個月就發五千多塊到九千多塊大家都看在眼裡 大家遠近都血量的現在台灣沒有人 一定台灣沒有人 大家都很聰明下一張委員你必須知道我們這個是舉債來執行這項業務的下一張這一次農業部的表現很好我這一次再一次跟你肯定但是還是有一些問題要跟你報告
transcript.whisperx[688].start 27292.605
transcript.whisperx[688].end 27313.897
transcript.whisperx[688].text 第一個 你們農業部的補助 農損的計算你是用你補助的錢來做農業損失一定 你可能不知道這點可不可以說 鄉村的育兒包一公頃補助六萬多塊它就是一分錢補六千幾塊
transcript.whisperx[689].start 27316.77
transcript.whisperx[689].end 27344.391
transcript.whisperx[689].text 你來月包侯友修繩一分地可以修三十萬三十萬 你的水道水道你補助兩千多塊一分地兩千多塊金舟還在漲金舟多少 八千對不對 補償八萬一間地八萬 遠遠不足你就用他你補助的金額來算榮損
transcript.whisperx[690].start 27346.754
transcript.whisperx[690].end 27363.606
transcript.whisperx[690].text 事實上跟世紀上是差十倍以上我跟委員報告就是天然災救助本身的救助金的計算是用成本的精神的百分之二十去計算用百分之二十我覺得這個是絕對可以檢討我們現在也正在檢討
transcript.whisperx[691].start 27365.248
transcript.whisperx[691].end 27382.945
transcript.whisperx[691].text 剛才你講的是用產值產值的時候會跟當年的物價的波動有很大的關係那個東西變得沒有一致性的標準是很難去處理的沒有啦 第一個就是你的補助的金額都偏低所以那個要調整好不好 要調整好不好
transcript.whisperx[692].start 27384.346
transcript.whisperx[692].end 27412.275
transcript.whisperx[692].text 我們一年都提供你一次你一次的調整20塊 30塊什麼都可以我們會去看它現在目前的生產成本的20%上下那我剛才說的這20%是不是適當我們是可以來討論的你把農產品的農損下到這麼低你是要顯示什麼你給農民很失望的嘛你一塊地 一分地的金銷你給他補託八千塊那八千塊就買不掉就不夠啊
transcript.whisperx[693].start 27413.55
transcript.whisperx[693].end 27424.866
transcript.whisperx[693].text 一分多的香蕉總共要300多張我們家裡種香蕉的我小時候會去買香蕉的所以你說這樣一分多300多張香蕉還賣了什麼這樣你的身份到一個八千幾個你說幾天
transcript.whisperx[694].start 27430.731
transcript.whisperx[694].end 27442.585
transcript.whisperx[694].text 我講百分之二十的成本不是全部的成本成本的百分之二十這樣你說會做農損你也要農損說得比較高人們不會說你怎麼啊對不對你說這麼高要積這個管子九千萬這個管子七千萬實際上都十倍以上嘛農漁務的損失
transcript.whisperx[695].start 27451.904
transcript.whisperx[695].end 27477.803
transcript.whisperx[695].text 這麼大 農業相關人口三百萬人咧不要人家劍打好不好我跟委員報告 現在我們粗暴的部分是用成本大概是37.8億但是產值的損失可能是上百億大概四倍 三倍到四倍左右看到十倍都有好 那剛剛很多委員說 錢品向前方位我贊成 但是金額要提高嘛 好不好
transcript.whisperx[696].start 27478.752
transcript.whisperx[696].end 27485.801
transcript.whisperx[696].text 一定有 答應一下 逐年調一下要不然 再來你用溶損用這種步驟來做溶損這樣是不對 遠遠不足的
transcript.whisperx[697].start 27489.42
transcript.whisperx[697].end 27514.576
transcript.whisperx[697].text 我還是要跟委員報告這次的災損我們除了救助但我們知道救助進來遠遠不足農民要復耕的所以我們又加了這些專案的補助那補助下去以後還不夠的話我們又用貸款的方式特別是免息的貸款的部分來支持農民減輕農民的金融支持壓力我要去屏東看那個紅來728水災到底來岩山公路這樣密密冒冒 那看
transcript.whisperx[698].start 27516.997
transcript.whisperx[698].end 27543.087
transcript.whisperx[698].text 那邊跟農糧署說他本來就說叫鳳梨也補助所以我給他簽訂是簽訂在這裡啊 其他的不對 不對嘛要改選嘛 要改選嘛 對不對我那天去 威文會去加去看那些光電板啊 看那些蚵仔蚵仔餅一瓶我們蚵仔餅一瓶補助五百塊說叫那個布袋啦 叫那個香港素的人說要借白啊出去外面去 去上去那裡
transcript.whisperx[699].start 27545.505
transcript.whisperx[699].end 27554.336
transcript.whisperx[699].text 風影那麼大,如果再變白又變白,又有人瀆死,我們就叫做因公殉職,那就是很簡單的事情,空拍機拍一拍就好了,
transcript.whisperx[700].start 27555.896
transcript.whisperx[700].end 27580.74
transcript.whisperx[700].text 不要做那麼無聊的事情院長不要這樣糟蹋我們的公務人員看了真的很心疼跟委員報告委員對農民的關心或者公務員講話我們都非常感謝那也知道中央政府也一樣是站在照顧大眾的立場上來做所有的政府的推動今年我們通過如果這個特別條例通過我們編的特別預算560億是要舉債的
transcript.whisperx[701].start 27584.341
transcript.whisperx[701].end 27598.897
transcript.whisperx[701].text 另外我們在任性特別條例如果通過大院所通過的5450億我們還要舉債1000億明年的中央政府總預算我們要舉債更大的一個數目所以中央政府的財政已經陷入這種狀況我們還是願意從中間以補助
transcript.whisperx[702].start 27603.101
transcript.whisperx[702].end 27620.85
transcript.whisperx[702].text 照顧弱勢最大跟優先的原則來做但一再這樣一直加我們的舉債就會一直一直的增加這也是現在中央財政的問題但是每次我談這個從來沒有委員願意跟我對談這個問題還有一個就是農業的保險這也要給我們政府感謝就是說你們中央有補助保養費對中央政府有補助 農民自己出超過40%
transcript.whisperx[703].start 27628.252
transcript.whisperx[703].end 27643.297
transcript.whisperx[703].text 一箱大概平均就一箱而已一箱而已嘛 這樣很好啊你保養你還搞到外面的民間公司搞什麼互幫監控啦什麼的那些私營公司每天就有夠過分的要保養 要收收金金 要保養
transcript.whisperx[704].start 27643.897
transcript.whisperx[704].end 27667.898
transcript.whisperx[704].text GGYY 委員 你可能誤會農業的保險本身雖然是產務保險公司在做但是他們的核定跟他們的認定我們是由農金署這邊來協助的而且是用天氣參數只要風速或雨量到的時候就賠不會去限開我跟院長 請求一下我們農業部存在著照顧廣大農業民農業相關人口300萬人
transcript.whisperx[705].start 27671.261
transcript.whisperx[705].end 27699.37
transcript.whisperx[705].text 一年的產值差不多五千五千多億啦這很重要 這國家安定農業 糧食什麼都安全保養喔 自己農經濟 自己農業部可以去做你既然保育都你出這麼多啊你就自己做 自己照顧你的農民也這樣比較寬容的 寬大給他理賠給他民間公司啊你不搭歐北部 我看不下去耶然後你出那麼多錢你就把它收來自己做嘛
transcript.whisperx[706].start 27701.231
transcript.whisperx[706].end 27729.297
transcript.whisperx[706].text 這樣可以考慮嗎我已經講了十次了我領綱再去親自去跟委員說明我們現在產物保險公司跟農金屬有一個非常好的互動的機制跟檢查的機制不會像你說的就是說當理賠的時候產物保險公司一直在苛扣這個部分我想我們可以保證絕對沒有這種事情但是我想會後找個時間再跟委員報告這金光公司一年賺幾百億幾百億天天在那邊吹牛第一季賺幾百億第二季賺
transcript.whisperx[707].start 27730.695
transcript.whisperx[707].end 27744.589
transcript.whisperx[707].text 看他們敢賠錢 賠到這樣好 下一位這個我們的榮淳 榮水路我都有去屏東那邊去看所以在這裡跟大家報告這都要寬列預算來做你五百六十月不夠不夠就剩這麼多對不對這會增加舉債
transcript.whisperx[708].start 27749.734
transcript.whisperx[708].end 27765.351
transcript.whisperx[708].text 這五年銷售一兆五六千億我們認知的是這麼多錢你認知的說你都不夠這大家再來討論一下往年都花去的你們都不算你們都算收拿進來的錢這樣子不對啊
transcript.whisperx[709].start 27766.412
transcript.whisperx[709].end 27783.34
transcript.whisperx[709].text 但這已經我不需要討論這些事情啦我們政府舉債如果能夠照顧到大眾大家認為行政院該舉債 立法院也認為可以舉債我們用舉債的方式來指引那必須是大量的舉債環境部 環保 環境部長環境部 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保 環保
transcript.whisperx[710].start 27791.28
transcript.whisperx[710].end 27809.562
transcript.whisperx[710].text 今天早上美國前太平洋司令跟美國國防顧問說台灣一定要重啟閒置的核電廠這是美國說的 不是我說的他說我們的極端氣候我們的能源都是靠外面的這個是非常危險
transcript.whisperx[711].start 27810.666
transcript.whisperx[711].end 27825.313
transcript.whisperx[711].text 那我再一次跟你報告 我就在屏東屏東 河山 那四個 河川半島四個鄉庭他們做的民調 同意研議的有75%那全台灣的民調 同意的有70% 反對的18%
transcript.whisperx[712].start 27828.439
transcript.whisperx[712].end 27851.196
transcript.whisperx[712].text 所以不像你說的那樣我是覺得只有一個觀念就是要揮合家園這個神主牌是無聊的沒有意義的時間暫停所有人對不起 不好意思今天我們是邀行政院長就第17條職權刑事法請行政院長就當然是颱風專案報告拜託互相尊重 理性對話我們根據這個範疇好不好
transcript.whisperx[713].start 27853.278
transcript.whisperx[713].end 27865.704
transcript.whisperx[713].text 謝謝我要跟產業環境部說你們最近把寶樹 寶芽 寶龍在屏東光電板這個把他們停下來 把他們退回我要跟你肯定謝謝委員
transcript.whisperx[714].start 27867.492
transcript.whisperx[714].end 27887.556
transcript.whisperx[714].text 所以我們要做 河山場的土地面積高達500公頃你要過渡時期 將來要做SMR將來要做合融合 我們都非常贊成它的土地有夠大啦所以一定 大家都很清楚 大家都很聰明河山場的院長長 副長長都在那裡揣摩 洗衣機 體育還在那裡如果說那裡有危險 他跑就跑掉了他還在那裡所以這次這裡
transcript.whisperx[715].start 27897.457
transcript.whisperx[715].end 27920.053
transcript.whisperx[715].text 人事這樣亂來亂去 沒有意思啦部長 你幫你幫了人博定 你如果把那個遁親募齡費拿掉你看他會不會再支持你 真正的啊你遁親募齡費 所以他是看到遁親募齡費喔你把遁親募齡費拿掉 你看他要不要同意
transcript.whisperx[716].start 27921.884
transcript.whisperx[716].end 27950.58
transcript.whisperx[716].text 講這個沒什麼意思啦好 請郭部長請回來 我們請邱部長因為這個比較麻煩請衛福部備詢郭部長請回院長 這個是莫拉克颱風的時候這張圖這個是我們醫院把我們的醫師召回你看到沒有 整個灰灰的他們的車停在高速公路上我們拉貨櫃車去把他們載下來
transcript.whisperx[717].start 27951.738
transcript.whisperx[717].end 27976.029
transcript.whisperx[717].text 那貨櫃車裡面還有有爪啦 有爪咧爪 爪 給我算十公尺錢他也怕 喝水咧 這醫生這樣一年一年下來然後我們護理人員坐雙甲應賓車來他們當時是受災婦喔 他也來了喔這就是我們醫護人員靠海的所在
transcript.whisperx[718].start 27976.926
transcript.whisperx[718].end 28001.165
transcript.whisperx[718].text 他們的堅持跟之前也是一樣這間台南票這麼嚴重雲嘉南這麼嚴重請的人他們也是我們去堅守崗位所以我今天要跟院長特別說的就是我要感謝邱部長領導友方第一個 第二個健保也寬限嘛第三個就是醫療院所有受災的要趕快走想問一下這些醫護人員
transcript.whisperx[719].start 28003.916
transcript.whisperx[719].end 28017.795
transcript.whisperx[719].text 他們如果真的 讓他們幫忙嘛讓他們 如果是受災的時候那嚴重的時候 他們都在擔班擔主給他們一些鼓勵 可以嗎 副長這個列出來 全部給他們個人嘛醫療院所不會拿你一毛錢
transcript.whisperx[720].start 28021.011
transcript.whisperx[720].end 28048.537
transcript.whisperx[720].text 謝謝我們今年的健保經費比較充裕真的很感謝我們總統跟院長的幫忙特別是公務預算所以我們在點子鍋已經到達大家所期望的標準今天這個風災造成的傷害我們會在幾個部分來談第一個災民我們在健保補助部分負擔這個部分我們都給他充分的協助
transcript.whisperx[721].start 28049.264
transcript.whisperx[721].end 28063.696
transcript.whisperx[721].text 在醫院的各部分我們做全部災區的調查大概大家都能夠真的很感謝所有的醫療援手還有醫護團隊真的在風災的時候還是依然這樣在服務民眾而且是冒著可能自己家裡也是受災戶
transcript.whisperx[722].start 28064.917
transcript.whisperx[722].end 28092.008
transcript.whisperx[722].text 特別感謝 那醫院的這個部分我們都看他損傷的狀況是怎麼樣我們都會給予他幫忙然後診所是比較多的狀況比照COVID-19的時候 他們出來了那沒幾天嘛 補助隊那是要鼓勵 要不然這最後又跑掉一堆人委員報告一下 那個南區的分組健保的分組 自己都會共管會議去討論他們也願意來協助
transcript.whisperx[723].start 28103.891
transcript.whisperx[723].end 28107.876
transcript.whisperx[723].text 好 謝謝蘇慶泉委員質詢謝謝卓院長 各部相關部會首長的備詢 謝謝
transcript.whisperx[724].start 28122.076
transcript.whisperx[724].end 28139.032
transcript.whisperx[724].text 好 接下來我們請陳冠廷委員質詢陳冠廷委員質詢之後我們會休息十分鐘你好 我們請院長麻煩再請卓院長備詢
transcript.whisperx[725].start 28152.268
transcript.whisperx[725].end 28180.405
transcript.whisperx[725].text 陳薇好 謝謝 辛苦你了院長辛苦了院長剛才有提到這個政府的負債比率那我們稍微談一下負債比率因為這跟我們未來可能要舉在因應未來各個不同的氣候挑戰是有關的其實在一般的政府負債台灣是優於主要國家台灣目前是三成左右那得利於過去的稅務改革也是得利於過去的一些我們選擇用正確的方式用財政的手段去面對那相比之下美國是249
transcript.whisperx[726].start 28182.881
transcript.whisperx[726].end 28210.715
transcript.whisperx[726].text 美國是118% 日本是249%所以比較起來我們的負債比例是相對安全的所以如果未來面臨氣候的挑戰當我們該舉債來去面對的話我大地的支持政府特別是行政院能夠編相關的預算我們一起來面對這樣子的挑戰所以這一次行政院通過的單大式颱風跟728豪雨災後的重建的特別預算這個條例基本上我們就是用我們的預算去做對的事情
transcript.whisperx[727].start 28211.235
transcript.whisperx[727].end 28227.812
transcript.whisperx[727].text 所以把農業設施 現金救助還有貸款利息我看到都有納入重建的項目這個地方我是給予肯定的但是執行的細節的方面特別是我們嘉義地區剛才有提到有很多農作物高經濟作物它是受到嚴重的創傷
transcript.whisperx[728].start 28229.033
transcript.whisperx[728].end 28245.473
transcript.whisperx[728].text 所以這一次的嘉義災情它是史無前例所以條例裡面第四條第二項它有授權各中央機關來去訂定補助方法院長有多次提到我們是要重優、重寬跟重塑我就特別提到這個重優的部分這個原則
transcript.whisperx[729].start 28246.874
transcript.whisperx[729].end 28274.249
transcript.whisperx[729].text 農業部之前有來我們嘉義來勘栽部長也有提到其實這一次的多年生的作物我特別提到多年生的作物就是說因為很多的因為風災它是連根拔起也就是說像是嘉義的像茶 咖啡梅子 荔枝 龍眼還有樹葡萄等種類它是主幹它是主樹幹 主幹或者是根系是連根拔起所以它影響的不是一級
transcript.whisperx[730].start 28275.285
transcript.whisperx[730].end 28297.43
transcript.whisperx[730].text 它影響的是三到五年的收成而且這一次是颱風來之後又好雨好雨來之後又颱風去年也有颱風所以過去一年 今年到明年後年五年甚至是接下來六七年他們等於是全部都要在蒙受這個損失所以剛才有提到是產值跟成本成本的20%剛才部長有提到成本的20%
transcript.whisperx[731].start 28298.49
transcript.whisperx[731].end 28327.589
transcript.whisperx[731].text 我是很希望具體來說要考量到物價上漲還有多年生的這些作物的特性我是希望說能夠在納入這一次特別條例的考量的時候把它佐樣提升剛才提到的這一些我剛提到荔枝農園 茶 咖啡等等其實多品項的作物全部都面臨這樣子的問題包含香蕉也是部長上次來我們看到你來我們中譜的時候那墾頓農民是欲哭無淚就是因為說他們需要足夠的成本來去反映然後我們如果只是用
transcript.whisperx[732].start 28328.63
transcript.whisperx[732].end 28351.7
transcript.whisperx[732].text 過去的20%而不是考量到今年去年跟明年這種物價非常快速的上漲的狀況的話我認為民眾是沒有辦法感受到的包含損農也是我幾乎每到一個地方每一位農民朋友們都跟我們說他不僅是青農老農全部都有這樣子的問題是不是可以請部長剛才您說會好好的去來去做審視是不是可以給我們簡單一個回應謝謝委員的
transcript.whisperx[733].start 28353.921
transcript.whisperx[733].end 28374.697
transcript.whisperx[733].text 這樣子一個說明我想基本上我們農業部在做救災的時候就是一定要讓農民恢復信心能夠持續的在農業的經營這是我想我們最重最核心的一個價值所以我們在考慮這個農損的救助金因為農損的救助金在現在的法律都是用20的成本去計算每一年我們都調一次
transcript.whisperx[734].start 28375.317
transcript.whisperx[734].end 28403.084
transcript.whisperx[734].text 但是條是針對相關的成本而上升的那我現在在考慮的是說我要不要鎖住這個20這個20到底有沒有道理所以我會用專案的方式來解決這樣的一個問題謝謝部長 就是用專案的方式那請把我剛才提到的多年生的作物那直接是連根拔起所以說這20%是不是反映到的是今年的20%因為它是等於是三五年 十年等於是一個長期的影響這個再麻煩部長能夠把它納入考量
transcript.whisperx[735].start 28404.004
transcript.whisperx[735].end 28426.235
transcript.whisperx[735].text 院長再來就是跟針對這個山區的防災的整備特別是跟電力相關的我就不再贅述因為這次3000多根電線趕倒塌然後近百萬戶停電耗電的時間是非常長的我想提到這個山區的電網的部分針對山區的電網我想請教政府是不是有考慮推動微電網跟儲物能的機制
transcript.whisperx[736].start 28428.496
transcript.whisperx[736].end 28454.853
transcript.whisperx[736].text 那這些偏遠的社區它在主電網失效的時候至少在關鍵的基礎設施包含他們的當地的消防單位或者是這一個學校它能夠可以至少有一個微電網還有除電的機制讓他們能夠有機會在救助來之前能夠自己支出好 在答覆微電網我們的計畫之前容許給我一分鐘我談談我們的舉讚
transcript.whisperx[737].start 28456.809
transcript.whisperx[737].end 28480.478
transcript.whisperx[737].text 其實在去年520之前我跟總統在工作之前有個長談我們都認為我們要嚴守國家的財政紀律所以除了軍購等必要的預算之外我們希望能夠編正規的長年預算而不編特別預算我們也希望能夠降低國家舉債雖然我們現在還有餘裕的空間但是我們不是守成不變我們希望把
transcript.whisperx[738].start 28481.847
transcript.whisperx[738].end 28506.388
transcript.whisperx[738].text 舉在空間騰出來當國家有需要的時候我們有更多的力量來做所以今年的總預算我們雖然編了三兆以上但是有兩兆八百零九億它是新增的項目就是原來的預算當中我們是不允許隨意增加但新增項目是國家所需要所以新增的項目我們可以編進來但是不要在現有的無限給它膨脹
transcript.whisperx[739].start 28507.51
transcript.whisperx[739].end 28513.81
transcript.whisperx[739].text 是要壓低整個國家未來舉債的空間能夠讓它餘裕出來但是這一次我覺得有一點
transcript.whisperx[740].start 28514.963
transcript.whisperx[740].end 28538.628
transcript.whisperx[740].text 跟想法不一樣就是我們必須靠舉債來支應這個是特別條例靠舉債來支應包括發現金的這個方式但是這如果已經形成一種社會跟國會的期待跟要求我們只要改變我們的初衷但是我要說的是這跟原來我們在治理國家的方向上是截然不同的這是一個很大的心理的障礙但是我們願意把它突破
transcript.whisperx[741].start 28540.172
transcript.whisperx[741].end 28556.993
transcript.whisperx[741].text 舉債不舉債不是不做事是放在未來來做那現在如果已經到了這個時候我們就用舉債來幫助農民幫助國家這是因為去年院長你們選擇用嚴守財政機率所以我們才有餘裕來面對這次的挑戰所以這一次舉債是正確的
transcript.whisperx[742].start 28557.799
transcript.whisperx[742].end 28572.39
transcript.whisperx[742].text 未來局在 也是正確的如果要走 未來要去做修復我們的社區我認為這是正確的做法那剛剛委員所說的這個包括我們建制行動的通訊行動車還有建制移動式的發動機再來我們增加
transcript.whisperx[743].start 28573.07
transcript.whisperx[743].end 28590.864
transcript.whisperx[743].text 第二軌的這個高抗災性的基地台包括微波包括衛星等等都是未來我們在災區以及在增強韌性上面我們必須要去做的我也承認在這個過程當中我們在這次的韌性考驗上我們不足所以未來一定用比較大的
transcript.whisperx[744].start 28592.186
transcript.whisperx[744].end 28608.876
transcript.whisperx[744].text 這個政策跟財務的支持把這些部分給它迅速的強化起來院長我是說微電網就是說儲能就是社區比較偏遠的地方能夠有儲能的計畫微電網如果在一個地區裡面它有發電的設備 光電板但是因為停電它沒有辦法我們就用移動式的發電機
transcript.whisperx[745].start 28610.057
transcript.whisperx[745].end 28625.022
transcript.whisperx[745].text 跟這個銜接的方式讓他能夠提供給附近的業者能夠來使用那這個微電網的出現的建置能夠保持現在比較大型電網上安全上的不足的考量這個也是在相同的這個政策裡面來考量的
transcript.whisperx[746].start 28626.928
transcript.whisperx[746].end 28640.501
transcript.whisperx[746].text 報告委內政部這邊做一點補充就是說在院長的指示之下其實我們在相關的內政部的一些韌性計畫裡面我們也提了微電網社區的計畫也跟台電合作所以在未來我們會針對國內一百七十幾個抑制災的古島社區我們會協助他們評估
transcript.whisperx[747].start 28646.227
transcript.whisperx[747].end 28664.257
transcript.whisperx[747].text 是否進行相關的微電網設置微電網的設置特別是儲能的部分因為設置儲能還有一些小型的光電或者是小水利的系統協助社區一起來共同度過這樣的一個風險就是一之災的地方我特別要強調這個部分就是說因為道路
transcript.whisperx[748].start 28665.177
transcript.whisperx[748].end 28682.569
transcript.whisperx[748].text 要搶通之後那再來才會有電再來才會有訊號就是所謂的這個訊號所以我希望他們能夠自給自足的目的也是這樣子所以為什麼要有儲能也是希望有這樣子最基本它能夠我們會跟台電合作再麻煩一下還是麻煩就是說在我們山區有一個計畫就是說至少有幾個
transcript.whisperx[749].start 28683.55
transcript.whisperx[749].end 28704.275
transcript.whisperx[749].text 給自己一個數字好不好完成幾個數字那我們下次我們再特別是在我們梅山竹崎阿里山地區等到我們全部通過去的話他可能比較後期他們前期至少有能夠有微電網或者是儲能設備的話對他們會有一些很正面的幫助這個部分我們希望盡快盡速來麻煩那再來就是災民的安置那院長這一次的風災我看其實
transcript.whisperx[750].start 28706.294
transcript.whisperx[750].end 28722.19
transcript.whisperx[750].text 有很多年長的農民他不太願意到異地的收容所民間有提出一些其他的方案包含檢疫的住宅 臨時的住宅貨櫃屋 組合屋等等的就地安置的方向那我是不是可以請院長
transcript.whisperx[751].start 28723.55
transcript.whisperx[751].end 28741.606
transcript.whisperx[751].text 所以行政部門來考慮一下說是不是在災前我們就可以先完成一些開口契約的簽訂讓未來他們可以更快速更彈性的選擇他們的安置選項清單所以包含組合屋 會櫃屋等等都是一個方向不知道院長怎麼看
transcript.whisperx[752].start 28742.026
transcript.whisperx[752].end 28757.384
transcript.whisperx[752].text 跟委員報告 在颱風之後的幾天內我就向地方政府提出有沒有需求要用組合屋我們有找到一些能夠提供組合屋的業者跟原來有些設施的但地方的需求 告訴我們的需求第一個 依親的很多還有就是
transcript.whisperx[753].start 28758.846
transcript.whisperx[753].end 28772.896
transcript.whisperx[753].text 收容所收容的並不多就是組合物的需求並不高所以我們就沒有跟地方在座溝通說是不是一定要強制多這一項的選擇那現在想起來如果當初有一些組合物的構成的話也許在
transcript.whisperx[754].start 28774.279
transcript.whisperx[754].end 28800.081
transcript.whisperx[754].text 搶修屋頂的過程當中會讓災民更能夠得到生活上的便利這是我們是跟地方討論的結果因為每個地方其實狀況都不太一樣就是比方說我提到我們的社區有人這樣提出來願意協助那有社區的災民說他想要這樣做但他不代表台南地區也是想要這樣高雄地區也想這樣甚至是海區跟山區都不一樣所以我提出來不是說我一定是對的我是說有這個聲音那我們可以把它
transcript.whisperx[755].start 28800.681
transcript.whisperx[755].end 28822.203
transcript.whisperx[755].text 謝謝我們確實當時有討論到而且很深入的去了解地方的需求謝謝院長我希望未來可以把它納入這樣子的話我們可以從這次學到很多那我們下一次就可以快速的反應了解那再來就是說關於這個不出的申請當然有很多長者我知道我們現在有各個不同的世代有史以來最多世代生活在一起就是現在這個世代
transcript.whisperx[756].start 28822.563
transcript.whisperx[756].end 28851.455
transcript.whisperx[756].text 因為年齡我們的老齡化 高齡化 超高齡化所以是三四個不同世代的人同時出台這一切很多世代的還不見得熟悉用網路申請相關的機制所以院長是不是可以指示相關部會用主動訪視代為申請的機制比方說除了村里幹事之外包含讓這個招聘約聘室的專員來去主動協助落實的災民完成申請就是說我們的特別預算裡面是不是可以包含這個可能性
transcript.whisperx[757].start 28852.901
transcript.whisperx[757].end 28874.237
transcript.whisperx[757].text 我很謝謝包括基層的村里幹事他們做了很多類似的工作也有很多社區的志工做了很多類似的工作量能縱然有所不足未來我們如何在人力上再加以補充要讓這些比較年長者適應到現在的操縱的工具這個是我們在增進彼此中央跟人民之間溝通必要的一個考量我會為他們考量
transcript.whisperx[758].start 28874.537
transcript.whisperx[758].end 28886.874
transcript.whisperx[758].text 好 謝謝院長我趕快再繼續接下來問一下關於接下來的救災國防部我看這個相關的國防部災害防救辦法裡面有包含預置兵力的選項
transcript.whisperx[759].start 28889.383
transcript.whisperx[759].end 28899.976
transcript.whisperx[759].text 這一次我必須要提到這一點的原因是因為每一次的狀況不同我們是也可以請國防部的一起來共同來討論我們是不是可以預先因為這個選項裡面有包含預先將部隊進駐高風險抑制災的鄉鎮之外
transcript.whisperx[760].start 28905.503
transcript.whisperx[760].end 28931.783
transcript.whisperx[760].text 除了這個部分我想是不是預制一些相關的這些重機具裝備還有可能未來會真用的特別是提到這個是發電 通信還有災後的防疫這些我們都預先先準備好因為有些時候我上次也提到就是在跟對交通部的質詢的時候就是許多的開口企業的廠商他們是要負責把道路清清完之後台電才可以進入電信業者可以進入但是他們本身在第一時間
transcript.whisperx[761].start 28932.944
transcript.whisperx[761].end 28958.829
transcript.whisperx[761].text 要去執行這些清運工程的人本身就已經受困了那他們又沒有衛星電話因為他們沒有像國軍要那麼多的裝備所以第一時間把重要的主幹道讓這一些能夠第一線救災的人員至少能夠可以救災再去維護後面的復原就很重要所以這次是不是可以請國防部能夠預先把一些相關的機器裝備通訊等等的先預先準備好那等到地方通報的時候國防部就可以更快速的應處
transcript.whisperx[762].start 28960.477
transcript.whisperx[762].end 28986.812
transcript.whisperx[762].text 謝謝委員的指導我想國防部在救災的工作上來講有預置兵力也就是說颱風如果侵襲20小時之內我們的所有兵力就要預置再重要的像比如說土石流或是積水地區的話我們會提前36個小時佈置AV管就是陸戰隊兩棲登陸車這個通常來講都是宜蘭 花蓮或是蘇澳這個地區為居多
transcript.whisperx[763].start 28987.732
transcript.whisperx[763].end 29010.564
transcript.whisperx[763].text 至於說委員講的發電機也好還有通信的衛星電話也好國防部都是在所有的救災部隊裡面是標準配備所以在這個預置兵力上來講國防部會持續的來加強這樣方面的準備工作這次可能會從東部然後就直接從嘉義台南這邊除非我們可能馬上就遇到這樣的問題再麻煩國防部能夠盡快跟我們來協助一下
transcript.whisperx[764].start 29011.304
transcript.whisperx[764].end 29035.783
transcript.whisperx[764].text 接下來最後就是關於鄉鎮公所為什麼講到鄉鎮公所他們是第一線的人才他們第一線就要接災民的電話第一線就要處置負責補助等等的院長 目前鄉鎮公所的委任官的比例限制是35%縣市政府已經下降到25%公所的組密職等大概是8到9課長是7到8所以這樣的職等是讓天花板等於是讓年輕的公務人員如果選擇在第一線的話他看不到升遷的未來
transcript.whisperx[765].start 29036.603
transcript.whisperx[765].end 29056.122
transcript.whisperx[765].text 我是希望說能夠有機會的話讓相公所這一個層級因為他們必須要第一個地方去面對能夠檢討一下讓人事全面來檢討看看讓第一線做做多的人能夠得到相應的報酬這個部分再麻煩院長帶回去來討論一下好的 對基層人員的鼓勵不應該只是說口頭
transcript.whisperx[766].start 29062.169
transcript.whisperx[766].end 29087.249
transcript.whisperx[766].text 謝謝陳冠廷委員質詢謝謝卓院長 相關部會首長的備詢歡迎會現在在我們一場旁聽席上來自遙遠波羅的海拉脫維亞拉德比亞八位國會議員立定我們掌聲歡迎Welcome to Taiwan我們接下來休息我們再一次謝謝羅志強委員 王育民委員盧憲宜委員還有劉淑冰委員一起參與我們專討我們休息十分鐘 謝謝
transcript.whisperx[767].start 29692.952
transcript.whisperx[767].end 29711.891
transcript.whisperx[767].text 報告委員會現在我們繼續開會我們接下來請盧憲一委員發言林黛華委員請準備主席有請院長跟原民會主委麻煩請卓院長原住民委員會請備詢
transcript.whisperx[768].start 29725.487
transcript.whisperx[768].end 29740.822
transcript.whisperx[768].text 主委好主委好因為最近我們部落都在受禍季我相信主委非常辛苦然後我們不僅要有時候要前沿歡笑然後還要去看災形成非常的忙碌那昨天
transcript.whisperx[769].start 29742.146
transcript.whisperx[769].end 29769.958
transcript.whisperx[769].text 我們在參加山地門的收穫季的時候有人問我說這麼多災情你們為什麼還要辦收穫季還有什麼值得快樂的嗎那我心裡面是這樣想我沒有正面回答他其實身在這樣一個多風災的國家我們原住民在這邊生活了幾千年幾萬年可能已經非常習慣跟風災相處所以這一點風災可能不算什麼因為我們很會跟大自然和平相處
transcript.whisperx[770].start 29770.939
transcript.whisperx[770].end 29790.217
transcript.whisperx[770].text 那既然是這樣我們必須從每一次的風災裡面去學習經驗那這次很難得這麼16年來從莫拉克到現在有些地方看到一些契機為什麼要這麼說呢因為從莫拉克到現在沒有比
transcript.whisperx[771].start 29791.209
transcript.whisperx[771].end 29815.22
transcript.whisperx[771].text 最近這一次的這麼嚴重所以當那一次莫拉科有一些被遺忘的部落或者是災情總是被說已經沒有莫拉科重建條例這樣的法規綁住以後很多部落是疲於奔命也就是說他們完全是求助無門我們就等一下來看一下這幾個部落的現況
transcript.whisperx[772].start 29816.994
transcript.whisperx[772].end 29829.239
transcript.whisperx[772].text 那在這之前我們當然提出了一些版本然後在最近會協商不過我們先看一下這些道路的狀況那這幾天我大概繞了台灣一圈
transcript.whisperx[773].start 29830.1
transcript.whisperx[773].end 29849.823
transcript.whisperx[773].text 也去看了一些道路的狀況在選舉期間我有曾經在我的政見發表上面一直在跟大家說希望能夠縮動政府通往原鄉的道路是希望是國道層級的其實這麼多年下來我們當然還是沒有看到甚至台東連一條快速道路都沒有
transcript.whisperx[774].start 29850.684
transcript.whisperx[774].end 29871.861
transcript.whisperx[774].text 八個園鄉最近是在八八 國三其實也沒有到園鄉高雄市好不容易到了旗山它要延伸也沒有到也只到了離港美濃可是看見我們每一個部落的道路尤其是主要道路通往鄉公所的尤其是我們最近看到的那馬下 桃園 茂林
transcript.whisperx[775].start 29872.441
transcript.whisperx[775].end 29900.061
transcript.whisperx[775].text 其實你只要到可能連災區的地方都到不了因為就是沒有路可以到所以我們希望說這是一個契機的時候我們是不是可以把原鄉的道路來做一個盤點甚至是把聯絡道路也做個盤點不是把一些道路截邊就沒事了把一些道路變成線道就沒事了然後每次再找經費就是找不到我為什麼要講這個我講到寶山我們騰芝也就是二集團那裡
transcript.whisperx[776].start 29900.842
transcript.whisperx[776].end 29926.976
transcript.whisperx[776].text 也是一樣你要去這次要去看這也是沒有道路可以去那我們身在屏東縣我們我甚至去了山地門鄉的德文大社那邊那個路是只到了德文這一段你看到大社是沒有辦法過去的只能徒步而且是非常的陡峭所以現在的那個民生必需品是用接送的方式來送所以已經16年過去莫拉克過去可是我們的道路
transcript.whisperx[777].start 29927.456
transcript.whisperx[777].end 29946.017
transcript.whisperx[777].text 或者是說我們在修建的時候還是沒有按照我之前的理想就是說希望通往原鄉的道路是國道層級因為陳水扁總統曾經說過我們要建立國與國關係他希望尊重到原住民到這樣程度我們敢配他所說的話可是我們就是做不到
transcript.whisperx[778].start 29946.778
transcript.whisperx[778].end 29960.911
transcript.whisperx[778].text 所以每次我們在看災的時候會覺得很心疼那土板那天我有去7月31號剛好路過很幸運的是他們一個禮拜就通行了不過他有一個訴求希望主委能夠聽到就是說
transcript.whisperx[779].start 29962.052
transcript.whisperx[779].end 29988.91
transcript.whisperx[779].text 圖板希望它有一個道路是能夠通到愛國浦也就是說它不是只有那一條可以往台版然後再到大溪的那條路因為曾經在很多年以前它那條這次的崩塌的地方曾經有公車掉下去過造成死傷這麼多年它又發生了我們就知道說它會一而再再而上的發生所以我們就必須要想到一個替代道路所以在地的主任有告訴我們他們的計畫的時候其實要把它聽進去把它做好
transcript.whisperx[780].start 29992.335
transcript.whisperx[780].end 30018.17
transcript.whisperx[780].text 阿里山鄉的169線道就是明明以前鄉公所所在地達邦它只要水一大 巨石就會掉下來永遠都是那個區塊所以也就是說我們沒有把真正的癥結點解決的話它永遠就是在那邊發生嘛就像現在的我們桃園區的明巴陸橋一樣等一下我會再提然後就是我到阿里山鄉的時候鄉長有跟我說能不能就凱米颱風那個桑陀爾跟康瑞颱風去年呢
transcript.whisperx[781].start 30018.57
transcript.whisperx[781].end 30037.56
transcript.whisperx[781].text 它已經核定的可是還沒有施工的能不能把它就再補一些金額因為它災區又擴大了可是又不要再重複會刊你重複會刊浪費大家的時間因為大家都在急於重建可是有些災區它的施工還沒有開始做可是核定款項已經來了
transcript.whisperx[782].start 30038.3
transcript.whisperx[782].end 30059.889
transcript.whisperx[782].text 所以其實這個可以事半功倍給你們行政單位去參考一下是不是做這樣的改變會更好好不好附帶一點是昨天我有去看農損原住民地區農損比較特殊很多部落族人尤其老人家他們都是住在公寮他們沒有所謂的手機也聽不到部落的廣播
transcript.whisperx[783].start 30060.609
transcript.whisperx[783].end 30089.162
transcript.whisperx[783].text 或許鄉公所很積極想要知道說他們其實都可以提出災損的可是他們卻不知道所以我們要怎麼樣去讓族人知道呢其實我覺得就是有的時候可能要請鄉公所做一些操作雲端手機去操作去設定我這個農損是在哪裡拍到的直接上傳就好了也不要造成我們城邦人騎摩托車騎到非常遠的山路然後說不定海航危險可是這個事情卻就是做不到所以他們
transcript.whisperx[784].start 30090.506
transcript.whisperx[784].end 30108.395
transcript.whisperx[784].text 還壓個日期對原住民來講常常壓日期的時候會覺得他很像這是個天大的一個所謂的一個Warning他會覺得他做不到所以其實有很多方法其實可以我們可以去體諒老人家在部落的生活情境所以在做事情比如說在
transcript.whisperx[785].start 30109.035
transcript.whisperx[785].end 30136.468
transcript.whisperx[785].text 提報這些農損的時候要用原住民的方法然後訓練他們用科技的方法來做這樣的話會比較簡單可以嗎明明政府就是有他有想到說要做一些比如說昨天看的是那個就是一些山芋芋頭啊可是平常我們想不到的那些農損其實這次我們農業部說其實這些都可以報他們內心非常高興可是他們都沒有聽過這樣的消息
transcript.whisperx[786].start 30138.58
transcript.whisperx[786].end 30160.762
transcript.whisperx[786].text 講到道路這個部分我們來看莫拉克的伊拉號就是我們國川大橋還有花了很多年卻還是沒有錄的南橫的明巴路克橋明巴路克橋這個意思布農族的話是很諷刺的它的意思是新橋然後就引申它是一個希望之橋可是它從莫拉克到現在
transcript.whisperx[787].start 30161.923
transcript.whisperx[787].end 30190.585
transcript.whisperx[787].text 一直都沒有好過然後他花了非常多的經費我這邊盤點喔大概從最近這幾年就花了20.3億那我一直覺得說有人甚至會開玩笑在一般人聽起來會很公務人員會聽起來很刺耳就是說是不是要從這邊去拿很多錢然後這個小事故意沒有做好所以你當政府單位聽到這樣的一個話的時候你會不會覺得很慚愧明明這個
transcript.whisperx[788].start 30192.316
transcript.whisperx[788].end 30218.251
transcript.whisperx[788].text 伊拉這個橋六翼那次就完工到現在是安全無虞可是明巴陸橋這麼多年了然後我們在看它造橋的一個模式的時候其實主委你非常清楚我們那邊的就是它是架高就跟水不在一起可是明巴陸橋它就是架在水旁邊它怎麼可能會好呢所以它一而再再而三的被摧毀所以在施工的方法如果就一般原住民來說
transcript.whisperx[789].start 30219.794
transcript.whisperx[789].end 30245.14
transcript.whisperx[789].text 這個看起來很像很簡單可是為什麼政府就是做不到就是花了這麼多錢還是零然後這次這個風災這次雨下那麼大還是 橋還是不見了我們就先談到這裡我們講到我們一層孤島這個部分當然我之前很多委員都提到了不過我這邊要提的是無人機的部分其實我們在去年有針對我們就好有做實施操作
transcript.whisperx[790].start 30246.62
transcript.whisperx[790].end 30273.962
transcript.whisperx[790].text 給當地的族人說原來渦輪機三分鐘五分鐘就可以到達你可能一兩天才到的地方所以這次我們霧台鄉長可以那麼勇敢的射水而過其實當然是不建議可是就是因為需要才要這麼做然後加上我們桃園是用那個流籠去送東西我說已經2025年了我們還是回到以前的那個年代的時候我是覺得我們一點都沒有進步我們要非常的慚愧 好不好
transcript.whisperx[791].start 30274.682
transcript.whisperx[791].end 30295.724
transcript.whisperx[791].text 然後這個上面沒有寫到是水因為我到地方還是會看到說明明我是住在好山好水的地方可是颱風來的時候就是沒有這來水然後它的理由就是說水太濁了不然就是山泉水的水管斷掉那我們是不是應該要盤點當然我們在一層古島地區我們通訊這些
transcript.whisperx[792].start 30297.085
transcript.whisperx[792].end 30314.41
transcript.whisperx[792].text 可能之前都有講過可是這個水的部分其實你盤點的時候其實有幾個部落特別缺水的時候他應該是要先準備幾個消防水車在旁邊備用民生用水至少你可以洗澡 可以洗衣服然後其實我這樣看是高市 梁山還有東埔這幾個部落
transcript.whisperx[793].start 30316.519
transcript.whisperx[793].end 30333.196
transcript.whisperx[793].text 你可以想像梁山這麼大的村莊沒有水然後他們都是去汽車旅館或是附近的旅社洗澡他們已經到現在這個時候了還是在抱怨這樣的事情群組永遠都在講他們沒有水而且他們是我們馬家鄉單一聚落最大村
transcript.whisperx[794].start 30333.817
transcript.whisperx[794].end 30350.36
transcript.whisperx[794].text 所以要非常的同情他們現在的處境講到這裡我們講到穆拉克的我為什麼會說是契機呢就是有幾個部落他們看到這樣的時候馬上跟我聯絡說我們能不能就趕快就進入這個所謂的重建條例因為他們看到
transcript.whisperx[795].start 30351.22
transcript.whisperx[795].end 30377.4
transcript.whisperx[795].text 重建條例這個名字非常的興奮是不是有一個重建委會可以幫他們解決圈村的問題尤其是滿洲的巴搖關這幾個月從六月到八月他們已經撤村六次他們已經變成很像家人因為每次一撤村就是住在一個不是一個類似像一個避難所所以他們也沒有什麼隱私可言可是我認為這不是我們應該要解決問題的方法
transcript.whisperx[796].start 30378.697
transcript.whisperx[796].end 30400.832
transcript.whisperx[796].text 我知道最近很像屏東縣政府有努力希望利用租用土地的方法可是要希望他們社區變成社團法人然後去用一塊土地解決他們的問題不過如果就有重建委員會或者是說把他們納入為遷村必要的一個條件的話我覺得是可以適當解決這個問題我們就你那裡來說那時候是有400多戶嘛483戶政府32億民間22億共55億可是他們目前這個
transcript.whisperx[797].start 30409.057
transcript.whisperx[797].end 30434.291
transcript.whisperx[797].text 分水嶺大概100戶左右所需要的經費沒有那麼多雖然當然已經過了10多年可是我相信經費應該是夠的目前四穩也是這個問題紅葉當初在漠蘭地颱風的時候他們也因為戶數太少的問題也不列入所謂的千村的一個條件裡面所以其實這個時候原理會應該要去盤點說當初被這些
transcript.whisperx[798].start 30435.291
transcript.whisperx[798].end 30464.309
transcript.whisperx[798].text 受災的這些民眾應該還有哪些有全台還有幾戶可以就這一次來一併解決不要一再二三的求是無門可以嗎可以時間沒有很多了那我也有去芭瑤看我是7月23號去看結果他們房間房屋都歸裂然後教會都已經下線那個地方真的已經是沒有辦法住是迫在眉睫所以你再叫他們去撤退要撤到哪裡去
transcript.whisperx[799].start 30464.989
transcript.whisperx[799].end 30477.021
transcript.whisperx[799].text 所以我這是他們現在內心最大的一個訴求希望院長能夠聽得進去然後我這次我去了台二十縣南橫的立道端
transcript.whisperx[800].start 30477.847
transcript.whisperx[800].end 30504.753
transcript.whisperx[800].text 我去看他們的一個崩塌的地方然後因為他們非常擔心他們怕變成小林村第二所以有一個很大的山崩的地點在他們的部落的上方石頭打下來砸到快到村長的家所以我去看了後來我回到台北有召集我們相關單位來研究一下後來公路局給我的那個公路局給我的圖是這個中間的他的回答是說他非屬山崩地質敏感區
transcript.whisperx[801].start 30505.714
transcript.whisperx[801].end 30521.29
transcript.whisperx[801].text 然後呢 地質中心給我的答案是右邊這個它是屬於淺市區所以我是覺得說中央單位是很努力可是應該要常常做一些所謂的媒合去看看你們的資料你們這樣講的時候是不是有一致性
transcript.whisperx[802].start 30524.042
transcript.whisperx[802].end 30550.23
transcript.whisperx[802].text 公路局認為這個地方是安全無虞的按照他的專業來看這個山崩地沒有那麼大可是族人就是會害怕可是地調給我的資料他是屬於敏感區所以我是覺得這個部分我覺得那個爭議性就很大就是你要怎麼樣去安撫我們在地族人然後你要怎麼跟在地族人解釋這個事情所以我是覺得只要你看到這樣的部分的時候尤其是比較大聚落就是只要有人住的地方這種
transcript.whisperx[803].start 30552.151
transcript.whisperx[803].end 30571.53
transcript.whisperx[803].text 他說從108年開始他們就開始做地質調查其實應該相關都有這些資料其實說只要一旦發生的時候應該要立即告知在地的或者是當地的人我們中央單位曾經努力過的方向給公路局施工的一個參考所以我是覺得說
transcript.whisperx[804].start 30572.811
transcript.whisperx[804].end 30587.565
transcript.whisperx[804].text 國家是有在努力可是我總覺得不夠然後橫向連結也不夠然後我們一直要再回到穆拉克那個年代在討論這個事情20年要過去了結果我們還是停留在原地希望把這些事情
transcript.whisperx[805].start 30589.649
transcript.whisperx[805].end 30608.421
transcript.whisperx[805].text 講給我們院長聽 講給我們的主委聽你們能夠真正把我們主任先生聽到讓我們最後一張看一個照片也就是當時的立法委員也是現任總統到少年溪去勘查明巴陸橋這個地方的時候那個時候就是這個樣子現在比這個更慘
transcript.whisperx[806].start 30609.301
transcript.whisperx[806].end 30623.2
transcript.whisperx[806].text 我們要用這個照片來記取教訓然後不要是一而再再而三的執政可是卻換來的是這樣子的一個結果我希望大家都能夠繼續面對然後好好的檢討 謝謝好 謝謝盧憲英委員的質詢謝謝卓院長謝謝委員謝謝
transcript.whisperx[807].start 30640.54
transcript.whisperx[807].end 30653.372
transcript.whisperx[807].text 好 我們接下來請林黛華委員質詢羅志強委員請準備好 主席有請院長麻煩再請卓院長備詢
transcript.whisperx[808].start 30665.307
transcript.whisperx[808].end 30685.287
transcript.whisperx[808].text 院長 十一十也 匹一十也本席主張全面普發一萬元這一萬元對現在來講面對關稅衝擊的產業面對現在南部急需重建的每一個災民這是及時雨 這是救命前全面無條件的普發一萬塊
transcript.whisperx[809].start 30687.488
transcript.whisperx[809].end 30701.825
transcript.whisperx[809].text 兩個第一個總統已經核四了竟然已經同意了行政院長只有重憂 重塑 重減盡快的 趕快的 馬上的補發一萬塊因為總統同意了
transcript.whisperx[810].start 30703.874
transcript.whisperx[810].end 30726.296
transcript.whisperx[810].text 哪來的在10萬還在10月底前沒有辦法發哪來的憲法程序還沒有完備這些都可以繼續進行你的憲法程式你的憲法的程序可以做沒問題還是你可以全面普發馬上發您說要舉債他也只是不會是一個很複雜的一個程序呀
transcript.whisperx[811].start 30727.057
transcript.whisperx[811].end 30751.702
transcript.whisperx[811].text 但是你沒有現在全面普發一萬元的情況之下我現在的災區我相信院長你到過我高雄市我的南馬俠我的桃園我的茂林整個道路的中斷那現在你沒有在以及現在此時此刻你我在這當下路上颱風警報指爆的洋流颱風就要進來了
transcript.whisperx[812].start 30753.771
transcript.whisperx[812].end 30775.581
transcript.whisperx[812].text 災害的重建的腳步才剛要起步你這個時候還在告訴我們的人民好喔總統啊你已經要發一萬塊了我們慢慢等等到年底還會被發不曉得所以本席就請你救救台灣救救災民救救賴總統吧總統已經指示了也已經核准了
transcript.whisperx[813].start 30776.141
transcript.whisperx[813].end 30803.104
transcript.whisperx[813].text 你從優從速從簡不覺得這六個字聽起來很熟悉嗎院長你怎麼看全面普發一萬元我非常感謝我們歷任的政府將台灣的國家財政弄到現在是屬於健全的所以我們每年都會有多多少少的稅計剩餘那在今年編列預算的時候我們也朝這個方向謹守財政紀律當時我們認為錢就應該花在最需要的地方那現在我們看到
transcript.whisperx[814].start 30804.65
transcript.whisperx[814].end 30833.149
transcript.whisperx[814].text 台風跟728的豪雨造成遍地的國人這麼大的損傷再加上大院也已經提出了對任性條例的修正案的內容三讀通過總統公告也已經生效我剛剛已經說過這個內容基本不變雖然我還要處理的是把他憲政程序讓他能夠化解但這個不會影響接下來的時間我們用最快的速度所以什麼時候
transcript.whisperx[815].start 30833.729
transcript.whisperx[815].end 30858.558
transcript.whisperx[815].text 我們用最快的速度現在八月 所謂最快速度是什麼時候我們用最快的速度來提出一個任性特別條例的修正案內容就會把這個金額都把它補上來補上來之後我們就大院審議一通過我們馬上編特別預算你期待什麼時候可以普發如果你還經過大院我相信在我們韓院長的這個黨團協商之下一定很快 這是救命錢
transcript.whisperx[816].start 30859.958
transcript.whisperx[816].end 30887.737
transcript.whisperx[816].text 這是救命錢 我想說沒有各黨都會同意的事項所以你覺得最快是什麼時候我剛剛已經再度拜託過韓院長能夠像上週 十月底前可以嗎您說十月底以後不可能聽在人民的心裡八月了 你還告訴我的你一萬塊總統都已經要發了院長卻竟然說十月底前兩個月後沒有辦法收到然後楊柳颱風 紫豹直奔我東南
transcript.whisperx[817].start 30888.738
transcript.whisperx[817].end 30913.411
transcript.whisperx[817].text 直奔我南部 直奔我高雄我希望在這個會期當中就能把它解決這個會期啊 這個會期是什麼時候8月底啊 我有沒有聽錯 再講一次所以你這個是現在你已經才是喔預算就能把它解決那我們解決之後 我們據預算就下去編列編列就下去執行所以什麼時候能夠普發完成
transcript.whisperx[818].start 30914.091
transcript.whisperx[818].end 30936.097
transcript.whisperx[818].text 您預計什麼時候普發完成你只要講一個期限我相信韓院長絕對會因你這個程序所有的不分打敗馬上都會來協商完成現在說的是法制化完成從修正案特別條例的修正到特別預算的編列我們希望這個8月的會期就能夠完成就能夠收到普發一萬塊嗎完成之後去編列預算就馬上執行
transcript.whisperx[819].start 30936.653
transcript.whisperx[819].end 30943.811
transcript.whisperx[819].text 所以期待九月以前可以收到全面普發一萬元嗎九月以前不可能八月底才會完成法制化碼
transcript.whisperx[820].start 30945.115
transcript.whisperx[820].end 30971.537
transcript.whisperx[820].text 對 那沒有問題啊 即使八月底 九月一號就可以開始開議啊這個都是我們在黨團協商都可以處理的都可以特級專案來處理要主持一個行政機關 必須考慮到很多的作業程序這個是我們未來共同的經驗我們必須在這裡學習九月底前可以嗎 全面普發還是等到十月底以後你的剛才 我覺得這個如果你願意做調整你早上你說十月底以後 還不見得
transcript.whisperx[821].start 30972.498
transcript.whisperx[821].end 30983.17
transcript.whisperx[821].text 能夠普發 全面普發您現在願意加速重優 重灌 重減全面普發一萬塊所以您說個時間吧我早上講的話說您期待什麼時候
transcript.whisperx[822].start 30984.861
transcript.whisperx[822].end 31003.96
transcript.whisperx[822].text 我希望在法治化完成之後我馬上編預算一個月內完成普發嗎這個我們行政機關要作業的作業要很多種的選項讓大家有戶頭的沒戶頭的發現金的領現金的各種方式都顧慮到周全我會用最快的速度
transcript.whisperx[823].start 31004.707
transcript.whisperx[823].end 31032.952
transcript.whisperx[823].text 您是一院之長啊你一聲令下一個月完成普發所有的行政部門馬上就一個月完成普發啦我今天不是以我今天是以執政黨的立委來提醒你因為我知道民生是什麼今天我們在意的是三件事情啊我們在意的是我們的這個關稅我的這個匯率的大漲在意的可能是川習會可能的一個所帶來的民生跟產業的衝擊啊
transcript.whisperx[824].start 31034.352
transcript.whisperx[824].end 31054.337
transcript.whisperx[824].text 所以今天面對的災區的重建我講坦白 我剛才講得很客氣叫做還剛在起步現在整個是滿目倉儀包括我整個山區所以當總統都已經說核准的情況之下我們怎麼可以拖
transcript.whisperx[825].start 31055.177
transcript.whisperx[825].end 31081.764
transcript.whisperx[825].text 我看在我民進黨的這民調下滑我看到我們賴總統這樣的陸力的帶領我們國家我怎麼忍心我民進黨在這麼樣的一個團隊當中所以從優 從速 從寬是現在所有災民的心聲是所有現在產業的心聲等一下我也會講到為什麼現在如果我的救災的部分我直接進入下一個議題
transcript.whisperx[826].start 31084.022
transcript.whisperx[826].end 31105.18
transcript.whisperx[826].text 好我先直接進到這邊好了這邊我的債務這邊農業部也就是當時農委會2018年對莫拉克風災研究報告來看我政府在莫拉克風災總投入1385億的新台幣贈災他獲得了什麼在莫拉克之後的9年後所做的研究報告他會獲得1385億我這個編列1200億
transcript.whisperx[827].start 31109.384
transcript.whisperx[827].end 31119.332
transcript.whisperx[827].text 包括地方政府的投入1385億獲得的是什麼1811億元以上的產值創造以及民眾807億的所得效益以及增加21
transcript.whisperx[828].start 31123.149
transcript.whisperx[828].end 31142.688
transcript.whisperx[828].text 18,029個工作機會也就是我擴大災區 震災重建的支出會解決災民面對生活困境我們不是說五金嗎我們不是說現在的五金扣件受傷嗎我們的這個工具機會受傷嗎今天我沒有辦法外銷因為關稅的問題 因為匯率的問題
transcript.whisperx[829].start 31144.91
transcript.whisperx[829].end 31166.258
transcript.whisperx[829].text 好那今天我擴大內需在整個重建當中趕快所有營造工程不管對工對私的投入就會製造內需了再加上今天一萬塊會趕上我們是一個有溫度的政府是有靠山的政府所以今天全面補發一萬塊今天我站在執政黨立委的一個角色上
transcript.whisperx[830].start 31166.638
transcript.whisperx[830].end 31191.278
transcript.whisperx[830].text 我多麼希望讓人民可以感受到我們真的是一個有溫度有靠山的政府就在人民旁邊這樣的及時雨這樣的救命前能夠到我的災民每一戶的手上能夠讓我受受災的產業當中可以感受到這個政府是能夠在他身邊的是支持他的全面補發一萬塊九月底前完成能不能做到
transcript.whisperx[831].start 31192.058
transcript.whisperx[831].end 31203.548
transcript.whisperx[831].text 請部長答覆一下作業的期程跟委員報告 這是兩千百萬要 甘心的威嚇 你要講人民甘心的威嚇你如果再跟他說十幾歲之前或是之後跟十幾歲的人談不成
transcript.whisperx[832].start 31211.694
transcript.whisperx[832].end 31232.365
transcript.whisperx[832].text 你就說好總統已經核四了兩個月內你都做不到你怎麼我們怎麼可以下去的時候去指示好各部會你要重優重塑重檢你要馬上你的重優重塑重檢兩個月都做不到你怎麼可以要求各部會重優重塑重檢的補助馬上讓災民可以看得到收得到呢
transcript.whisperx[833].start 31233.575
transcript.whisperx[833].end 31249.641
transcript.whisperx[833].text 好部長是2300萬的一個假設要補發現金的話那這個部分的前置的作業是一定要把它做的週明那我們在發的時候一定會用最簡便的方式讓民眾可以用最方便我想您上次
transcript.whisperx[834].start 31250.702
transcript.whisperx[834].end 31271.502
transcript.whisperx[834].text 6000塊的補發 您那時候有感受到可是我們之前的前置作業要非常細密一個也不能夠重複部長沒關係 你就講一個時間全民在聽我也不再質詢你這個議題我就繼續我下面的議題那這個當然要看這個要看特別預算什麼時候完成特別預算的編列以及經過立法院的同意對 所以什麼時候
transcript.whisperx[835].start 31272.523
transcript.whisperx[835].end 31290.86
transcript.whisperx[835].text 要看什麼時候完成特別預算所以你還是不講嗎好那你覺得這樣人民聽得下去嗎好我們就繼續吧好我們來院長您對於這次的這個丹納斯颱風整個災損整個的總體損害金額是多少農損的部分丹納斯颱風有32億
transcript.whisperx[836].start 31292.014
transcript.whisperx[836].end 31311.42
transcript.whisperx[836].text 那其他整體阻礙啊房屋損害的部分那無法從金額來計算我們只能從建來協助大家從各方面的協助的各種新的措施包括復原未住金包括我們的上工津貼包括我們的媒合獎勵金等等我們只能從這個部分但這個跟實際上的損害來講它還是
transcript.whisperx[837].start 31314.201
transcript.whisperx[837].end 31341.661
transcript.whisperx[837].text 所以您的幕僚沒給你叫做整體損害金額所以你編了561到底能不能這個符合現在所有災民以及所有相關損失你今天編了9項喔所以你這561花在哪裡呢農業設施電力系統電信系統及有線電視傳播系統自來水瓦斯及燃氣家園公共設施水利設施道路及交通環境維生復原社會復原及產業促進
transcript.whisperx[838].start 31343.622
transcript.whisperx[838].end 31358.773
transcript.whisperx[838].text 九項這九項表示你要花下去你有這九項有損失嗎這九項的整個的整體損失是金額多少你不清楚好那不清楚這個將來就是在561的額度裡面一在送到大院的特別預算裡面就會詳列
transcript.whisperx[839].start 31360.074
transcript.whisperx[839].end 31373.952
transcript.whisperx[839].text 每個項目每筆預算如何執行絕對不是不清楚院長我這邊呈現560億是不夠的你說到榮損40億好那我來我認為現在的整體損失是不小於莫拉克將近2000億
transcript.whisperx[840].start 31376.395
transcript.whisperx[840].end 31398.913
transcript.whisperx[840].text 算起來是2000億喔我這次的雨量這是公視報導的公共電視報導的高雄茂林八町的降雨量將近2900毫米雨量是超過莫拉克風災的我用從受災面積這次是雲加南高頻莫拉克風災受損的面積是南投高頻而受災的戶數我就以停電戶數就好
transcript.whisperx[841].start 31400.074
transcript.whisperx[841].end 31425.737
transcript.whisperx[841].text 丹納斯是98萬的停電戶數莫拉克風災是89萬的停電戶數我現在98年這個表格莫拉克是98年的編列1200億我就不算通膨不算物價指數就現在的560億也僅佔莫拉克災後重建總預算的46%的弱我還不算通膨不算物價指數
transcript.whisperx[842].start 31426.798
transcript.whisperx[842].end 31449.705
transcript.whisperx[842].text 而這次的丹納斯是遠大於莫拉克颱風喔好那如果是這樣的話本席非常擔心我要提醒院長我今天是以非常沉重的執政黨的立委來跟你講我害怕會有一個災禍你這個再補下去因為資金不足嘛所以呢你會補助戶數不足
transcript.whisperx[843].start 31450.965
transcript.whisperx[843].end 31464.691
transcript.whisperx[843].text 不夠面積也不足百工百業恢復期會無限延長本席都可以預估另一波災後重建的民怨爆發所以您是不是有評估要提高救災經費的上限呢
transcript.whisperx[844].start 31465.799
transcript.whisperx[844].end 31480.9
transcript.whisperx[844].text 我們在特別條例的草案當中名列560億希望大院來審慮的時候依照這個來計算但是我也承認那個是在一兩週以前我們訂定出來的這個特別條例的金額如果真的有時評時據而且可以印證我們真的確實有需要
transcript.whisperx[845].start 31482.23
transcript.whisperx[845].end 31497.691
transcript.whisperx[845].text 在審議的過程當中我們進行憲法跟預算法相關的規定來跟行政院徵詢我們可以就上限來加以調整有必要的話我們看實際的狀況好來院長我這些但是我強調這個還是需要大量的舉債好
transcript.whisperx[846].start 31499.613
transcript.whisperx[846].end 31516.648
transcript.whisperx[846].text 舉債也沒問題啊你明年會有超收稅額啊你再補就好了啊這都不是問題啊是你知道怎麼去周轉它下面我所講啊是我真的看到這樣的條例8條跟莫拉克條例29條我心非常的寒
transcript.whisperx[847].start 31517.228
transcript.whisperx[847].end 31541.81
transcript.whisperx[847].text 怎么的喊法呢我这边要问您要不要采莫拉克条例的一些真的是温暖的措施税务减免莫拉克这边有提到我对于政府自政府灾民自政府跟民间领取的各项救助金慰问金临时工作今天是免病入综合所的总额课程税所得税的这个可以吗受债户的水费电费
transcript.whisperx[848].start 31542.41
transcript.whisperx[848].end 31570.268
transcript.whisperx[848].text 是得與減免的這可以嗎以及災區內的土地及建築物可以減免房屋稅及地價稅這可以嗎再來這個我們莫拉克風災的條例他說我們淹水達50戶以上的以一門牌一戶每戶10萬塊可以嗎我們的這個這個我們的這個莫拉克重建條例當中也提到貸款償還期限展延而且呢這展
transcript.whisperx[849].start 31588.941
transcript.whisperx[849].end 31591.383
transcript.whisperx[849].text 好 謝謝林大華委員的資訊謝謝卓院長跟相關部會首長的備詢 謝謝
transcript.whisperx[850].start 31605.319
transcript.whisperx[850].end 31632.369
transcript.whisperx[850].text 好 謝謝接下來我們請羅志強委員質詢劉建國委員請準備主席有請卓院長麻煩再請卓院長備詢羅院長好 謝謝卓院長好其實這段時間我在看到新聞畫面
transcript.whisperx[851].start 31633.973
transcript.whisperx[851].end 31649.721
transcript.whisperx[851].text 然後看到很多的災民在風災之後的大雨家園泡在水裡面然後那種叫天不應叫地不應的那種苦境我自己看其實是很難過的
transcript.whisperx[852].start 31651.224
transcript.whisperx[852].end 31669.777
transcript.whisperx[852].text 所以我想院長自己應該也會感同身受所以災民的痛苦我想應該都要把它放在心裡我也跟院長說因為看到這些情況所以後來我有決定從我最近新書的書款裡面有把它所得的部分撥出一百萬元
transcript.whisperx[853].start 31671.237
transcript.whisperx[853].end 31697.993
transcript.whisperx[853].text 來救助我們中南部的這個受災的民眾那我也希望說這份心傳達給卓院長我們大家一起把心都放在災民身上然後苦民所苦能夠全力的努力的來幫助災民重建家園解決他們的問題那接下來我想要可能先延續剛剛林黛化委員的他的質詢我在底下聽的其實是非常感動
transcript.whisperx[854].start 31699.224
transcript.whisperx[854].end 31719.652
transcript.whisperx[854].text 你知道現在災民家園受損實質上很多的一些恢復跟重建的工作都亟待進行所以在這個時候其實當初還稅漁民普發現金的一萬元其實就是一個及時雨這一點我不知道院長認不認同
transcript.whisperx[855].start 31721.328
transcript.whisperx[855].end 31747.923
transcript.whisperx[855].text 目前來看他確實有這樣的一個可能性的發展但是就摘明而言我們有其他更多的多項的補助那這個是普發給全民但總是就是一個plus嘛對不對那可是剛剛我是有點遺憾啦就是說我看剛剛林黛樺委員非常努力的想要問這個院長就是這個現金發放的時程顯然9月底覺得你們做不到嘛我聽到結論是這樣對不對
transcript.whisperx[856].start 31750.515
transcript.whisperx[856].end 31766.713
transcript.whisperx[856].text 我是認為如果法制化的完成能夠在這個會期完成那已經是很快了院長我現在是沒有要push你只是說先確定一些因為我相信所有的民眾是很關心這個題目就是說九月底如果不能完成的話十月底可以嗎
transcript.whisperx[857].start 31767.974
transcript.whisperx[857].end 31790.817
transcript.whisperx[857].text 在大院通過的修正的時間是十月底所以一萬塊不會打折扣吧就是一萬塊不發現金我說過總統公告的法律他就生效了基本上除了知識產業會增加關懷弱勢會增加民生系統電力維護會增加一些修復之外其他基本不變
transcript.whisperx[858].start 31791.657
transcript.whisperx[858].end 31812.105
transcript.whisperx[858].text 所以謝謝卓院長就是顯然給大家安心就是看起來你們的目標要放在10月底然後普發現金1萬元是不會打折扣的10月底要請財政部能夠加快速度當然就拜託財政部再加快速度因為災民其實真的是非常辛苦
transcript.whisperx[859].start 31813.165
transcript.whisperx[859].end 31839.45
transcript.whisperx[859].text 接下來我再問一下關於這次防災救災的整個的過程當中有些東西可能跟卓院長來就教一下我跟你講報告因為我自己在政府工作過以前的工作其實說實在話就是當遇到天災總統坐鎮災害指揮災害應變中心的時候我是會陪同在旁邊的如果他去勘災我也是在旁邊陪同的
transcript.whisperx[860].start 31840.27
transcript.whisperx[860].end 31864.073
transcript.whisperx[860].text 甚至後面的重建很多的一些管考 督導事實上我也是做幕僚工作的甚至一些重建的視察 重建完成的視察有時候也會陪同總統前往所以其實我在看整個我們台灣的災害的防救其實我自己是一路看在眼裡我有一些問題可能要請教一下我們的院長
transcript.whisperx[861].start 31865.638
transcript.whisperx[861].end 31880.949
transcript.whisperx[861].text 這句話國軍單位跟地方政府密切合作全力執行救災工作展現出國軍戰時能作戰平時能救災的效能隨時投入防救災工作請問院長你知道這句話誰講的嗎
transcript.whisperx[862].start 31883.368
transcript.whisperx[862].end 31902.801
transcript.whisperx[862].text 能夠直接講到關於國軍的指揮調動都應該是總統非常好這是蔡英文前總統說的那下一句話是國軍主動救災是安定民心的重要力量那政府已經將災害防救列入國軍的中心任務平日就
transcript.whisperx[863].start 31903.755
transcript.whisperx[863].end 31932.146
transcript.whisperx[863].text 完成災害防救的兵力部署隨時準備救援防止災難發生或阻止災難擴大這句話又是誰講的哪一位總統講的請委員來指教就是馬英九前總統這事實上也就在馬總統任內其實他已經訂下了一些政府防救災的準則我不知道院長知不知道從那時候政府防救災準則實在一直沿用到蔡英文總統了你知道有哪些核心的防救災準則嗎
transcript.whisperx[864].start 31935.838
transcript.whisperx[864].end 31953.331
transcript.whisperx[864].text 這個請委員來指教防災重於救災離災優於防災料敵從寬遇敵從嚴超前部署預制兵力隨時防救這是我們對於所謂的尤其是對於也包括國軍在內的防救災的作為的一個準則
transcript.whisperx[865].start 31954.321
transcript.whisperx[865].end 31972.735
transcript.whisperx[865].text 事實上從馬總統到蔡總統都是秉持這些準則尤其天災時候兩位總統都經常在國軍馳援災區的時候告訴國人救災勢同作戰這句話你聽過吧這幾乎是鐵律可是我就要很遺憾的說
transcript.whisperx[866].start 31974.211
transcript.whisperx[866].end 31996.399
transcript.whisperx[866].text 這鐵律到賴清德總統的時候是變更了嗎還是修正了嗎還是說今天改變了嗎為什麼這次風災跟豪雨我想要問一下政府有做到這個所謂的救災勢同作戰這個所謂的準則嗎沒有 沒有改變我跟委員講一段話去年第一個颱風來的時候我在中央應變中心
transcript.whisperx[867].start 31997.338
transcript.whisperx[867].end 32024.429
transcript.whisperx[867].text 那時候要調動國軍資源我只有那一次第一次我打個電話請示總統因為基於體制上我跟總統報告中央應變中心現在需要國軍調度能不能調動國軍總統說他已經指示了國軍投入救災而且以後有類似情況不必再請示就直接可以指揮調動非常好謝謝院長在旁邊輔佐總統提示他國軍救災投入的重要性
transcript.whisperx[868].start 32025.169
transcript.whisperx[868].end 32040.886
transcript.whisperx[868].text 但是我可能還是要提醒院長在民眾的觀感裡面看起來可能好像是另外一番場景那這是可能是包括賴總統 卓院長你們可能都要去思考一下為什麼民眾會產生另外一種有落差的場景感
transcript.whisperx[869].start 32041.827
transcript.whisperx[869].end 32070.004
transcript.whisperx[869].text 受災戶大概很多都七八十歲高齡他沒有能力體力靠自己清理家園所以當他拜託賴總統派國軍協助把家中的壞家具廢棄物搬到外頭結果賴總統竟然說國軍不能進入民房說社區要發揮力量社區有力量社區才比較安定如果什麼事情都需要國軍國軍真的沒空比方說漢光演習或者遇到那一天真正發生時該怎麼辦
transcript.whisperx[870].start 32072.148
transcript.whisperx[870].end 32085.721
transcript.whisperx[870].text 我想請教卓院長你也是等於是行政院政府官員實際上我想各種救災的工作你也有參與如果你是災民你聽到這句話你的感受是什麼
transcript.whisperx[871].start 32086.4
transcript.whisperx[871].end 32112.339
transcript.whisperx[871].text 我想跟我們報告一下這個背景我們一直在社區推動防災自主社區也相當有成效各個縣市都有相當數目來成立了那我們也在希望說這個能夠當作一個救災最基層的單位來協助村里長協視地方政府國軍當然要協助進去我相信啦 我相信政府一定是會很努力的投入整個的災害防救的工作但我要特別提醒一件事情
transcript.whisperx[872].start 32114.635
transcript.whisperx[872].end 32137.722
transcript.whisperx[872].text 過去國軍我們的核心工作準則就是救災視同作戰過去國軍在災害發生時就會陪伴在災民身邊可是當總統說國軍不能進入民防然後不要什麼事都需要國軍我說實在話啦我覺得院長你可能也不方便說什麼可以體諒你但是將心比心放在當時已經覺得
transcript.whisperx[873].start 32139.397
transcript.whisperx[873].end 32147.609
transcript.whisperx[873].text 好像沒有已經沒有辦法去找到什麼樣的幫助然後希望政府能夠施以援手的災民這些話聽在心裡其實會是很難過的
transcript.whisperx[874].start 32149.15
transcript.whisperx[874].end 32171.685
transcript.whisperx[874].text 所以這顯現兩件事情我覺得院長可能要再協助總統一下第一個就是什麼第一個就是可能要讓總統更熟悉從馬總統到蔡英文總統的所謂的我們國軍救災的核心任務第二個就是說實質上政府很努力工作但是也不要讓災民今天遇到這個狀況聽到這個感覺說真的我覺得是有點委屈災民
transcript.whisperx[875].start 32176.988
transcript.whisperx[875].end 32191.51
transcript.whisperx[875].text 那再來 另外一個總統指示 事實上來講我們救災的工作從以前到現在沒有變過所以我們第一時間投入到災區去我相信在北門的鄉親門
transcript.whisperx[876].start 32192.972
transcript.whisperx[876].end 32220.236
transcript.whisperx[876].text 都非常了解尤其台南市積大水的時候我們國軍接到命令我們直接到民宅裡面去把村民撤離大概五十幾個人家撤離我想這些工作從以前到現在沒有變過了解 我覺得了解因為說真的這些我都經歷過了我對國軍是非常感佩的這個是跟無庸置疑的接下來我想請教另外一個場景我看了其實也是不忍心就是
transcript.whisperx[877].start 32221.548
transcript.whisperx[877].end 32243.476
transcript.whisperx[877].text 災後家已經發生81歲老人家修屋頂不幸摔下身亡相隔兩天總統到旗鼓看災的時候有災民反應房屋漏水總統說沒關係 帆布那邊有然後年長災民已經講說不敢爬上去了結果總統回應 不敢爬上去沒有 我們自己爬
transcript.whisperx[878].start 32246.113
transcript.whisperx[878].end 32257.959
transcript.whisperx[878].text 也許總統的意思是別的意思我在這邊其實要提醒的一件事情就是說總統進到災區的時候我覺得身邊的官員們可能都要先提點他一下
transcript.whisperx[879].start 32259.076
transcript.whisperx[879].end 32283.11
transcript.whisperx[879].text 你在很多的表述過程當中你要稍微去想想看如果你是災民你聽到這些話你心中作何感想這個是我覺得在這邊我也是恺切的來提供我們卓院長一個參考當然我也必須講過去其實我們的剛你也講過了其實過去我們國軍參與著救災的過程當中實際上是非常積極的沒錯 對不對非常積極的
transcript.whisperx[880].start 32286.272
transcript.whisperx[880].end 32309.574
transcript.whisperx[880].text 甚至以前我們的賴總統他在要求國軍的時候我還看到很多資料2011年他還是台南市長的時候南馬都颱風來勢洶洶台南的麻豆文旦東山的龍眼都來不及採收當時的賴清德市長向中央災害應變中心反映
transcript.whisperx[881].start 32310.415
transcript.whisperx[881].end 32316.905
transcript.whisperx[881].text 那時候其實我也在輔佐總統馬總統就指示國防部立即處理也派出國軍協助採收
transcript.whisperx[882].start 32319.892
transcript.whisperx[882].end 32347.288
transcript.whisperx[882].text 2012年泰利颱風來襲那國軍八軍團投入大批的兵軍機械然後去支援台南救災賴總統也說台南因為豪雨海水倒灌水淹民宅所以他請國軍協助老弱婦孺及時撤離所以當時覺得我想賴總統在當市長的時候也是非常期待國軍能對我們在各地的災民來施以援手
transcript.whisperx[883].start 32348.088
transcript.whisperx[883].end 32373.897
transcript.whisperx[883].text 這個心情我希望賴總統能夠繼續保持最後其實有一件事情我想要請教一下就是說總統也一再強調這次的災害非常罕見風災導致已經有4萬戶的屋頂被刮走光台南就有17個行政區大概有3萬多戶行政院已經決定要發放污損的衛助金了
transcript.whisperx[884].start 32375.731
transcript.whisperx[884].end 32392.985
transcript.whisperx[884].text 但是他是依照損害面積發放對不對最高是10萬元可是我其實最近又有到中南部走那又有一些農民朋友說農損加上污損其實損失非常的慘重那也需要說今天
transcript.whisperx[885].start 32393.866
transcript.whisperx[885].end 32415.762
transcript.whisperx[885].text 更多的資金來應急他有提一個建議我覺得還不錯我想提供院長來做參考他說過去新冠疫情時候農業部他除了對農作物及農業設施提供貸款免息之外他依照當時特別條例的授權提供額外的農家綜合貸款一年免息的紓困
transcript.whisperx[886].start 32417.643
transcript.whisperx[886].end 32432.35
transcript.whisperx[886].text 讓農漁民用於家計消費所需的一些經費有些資金需求的農漁民他額度不受原紓困舊貸款餘額限制可以再申請一次最多40萬元的紓困貸款
transcript.whisperx[887].start 32433.59
transcript.whisperx[887].end 32460.712
transcript.whisperx[887].text 但這一次的農業部我看到提出的貸款展延免息措施好像不像疫情時對於農家綜合貸款提供額外的貸款跟免息額度這個貸款的一個狀況那這貸款我覺得可以來去讓受災的農漁民一方面用於家計所需當然也有包括說今天他有一些損害的一個復原那現在有了特別條例匡列了560億元的特別預算對不對
transcript.whisperx[888].start 32463.044
transcript.whisperx[888].end 32487.957
transcript.whisperx[888].text 所以有法源有資金那我是不是能夠拜託我們院長請農業部可不可以研議一下能不能比照上次疫情的做法提供類似的農家綜合貸款的額外貸款以及免息額度能夠讓有需要的受災農漁民給他更充裕的資金來用於房屋的修繕我不知道院長可不可以幫我把這個跟請農業部來研究最好來做到
transcript.whisperx[889].start 32489.217
transcript.whisperx[889].end 32508.394
transcript.whisperx[889].text 謝謝委員 我們在制定特別條例時候就請各部會就它業管業務所需要的經費做一個盤點那現在這個部分我們回去請農業部能夠把它考量是否已經納入或者是做什麼樣其他的編制在未來的特別預算裡面那看能不能容得下來
transcript.whisperx[890].start 32509.248
transcript.whisperx[890].end 32528.648
transcript.whisperx[890].text 非常謝謝院長就可能再拜託農業部如果可以方便的話就把相關的狀況能不能給我一些書面的資料後續怎麼做讓我們辦公室這邊也可以跟農民朋友來回應所以以上還是拜託因為颱風就要來了請院長繼續加油謝謝謝謝委員謝謝羅志強委員質詢謝謝卓院長 相關部會首長的備詢 謝謝
transcript.whisperx[891].start 32534.778
transcript.whisperx[891].end 32561.031
transcript.whisperx[891].text 我們接下來請今天口頭質詢最後一位劉建國委員請質詢好謝謝主席有請卓院長麻煩再請卓院長備詢劉院長好謝謝辛苦了院長你才辛苦
transcript.whisperx[892].start 32564.176
transcript.whisperx[892].end 32582.755
transcript.whisperx[892].text 陽有颱風又來了雲林地方政府已經二級開設在下午兩點左右的時候我想這個穿新台看起來還蠻嚴重的感覺當然我們還是希望損害降到最低也希望中南部的災情
transcript.whisperx[893].start 32583.909
transcript.whisperx[893].end 32607.468
transcript.whisperx[893].text 不要在水上加霜持續的擴大但是我們是衷心的這樣希望但是有時候天有不測之風雲我在這邊可以是不是可以具體跟院長建議今天針對這個特別條例當然是針對丹奈斯還有這個0728的豪雨是不是要一併考量到洋流可能這兩天就會造成了
transcript.whisperx[894].start 32608.067
transcript.whisperx[894].end 32620.397
transcript.whisperx[894].text 嚴重的這個傷害的時候一併去做這樣的一個思考折承相關單位是不是把這樣的內容換尾然後把它納入在這個特別條例的草案裡面可以嗎
transcript.whisperx[895].start 32621.377
transcript.whisperx[895].end 32647.034
transcript.whisperx[895].text 我基本上不反對因為我們在制定條例的時候就是說這個條例是丹拉斯颱風以及728豪雨隨後幾天所發生的那現在又來一個颱風在大院審查的過程當中認為如果我們有發生災害啦認為需要再把他納進來我想兩院再來做協商我想我們願意朝這個方式總之用最快的速度把需要的一些
transcript.whisperx[896].start 32648.274
transcript.whisperx[896].end 32676.811
transcript.whisperx[896].text 對災損的損害對民眾的照顧趕快把它弄出來這個是最快的速度好 謝謝院長的回覆因為總是擔心所以就未雨綢繆第二件事情是這樣要跟院長做一個討論因為面對這樣的極端氣候我想我也特別感謝院長在這個不到一年時間到了雲林總共前前後後三趟第一次是在去年的開美颱風之後第二次是在這個今年的
transcript.whisperx[897].start 32677.513
transcript.whisperx[897].end 32700.943
transcript.whisperx[897].text 當然是颱風來之前那最後一次 最近的最後一次就是這個豪雨的當下院長都來到雲林不到一年來到三次可見院長對整個雲林治水這樣的一個重視跟支持那我想雲林縣政府自己也公告就是說第八批次的前瞻治水經會加上災後復建然後再加上這個應急工程
transcript.whisperx[898].start 32701.743
transcript.whisperx[898].end 32721.199
transcript.whisperx[898].text 應該高達有60多億要給雲縣政府來做相關的治水的一些工程那在今年7月29號的時候 院長到了雲縣水林的新街這個排水 抽水站那個附近應該院長可以看到這個圖 照片 還有相關的簡報院長可以再回顧一下這個圖應該四層看過嘛 這個簡報檔
transcript.whisperx[899].start 32726.505
transcript.whisperx[899].end 32754.216
transcript.whisperx[899].text 最主要還是在講說因應極端氣候請持續挹注經費增加排水出外口 抽水量能如鳥松大排 千山大排 陽川大排等抽水站這個基本上當天水利署長的簡報裡面就已經有透過麥空說明已經核定了這是其一其二抽水量抽水量黃色的字請院長過目一下抽水量能要擴大
transcript.whisperx[900].start 32755.055
transcript.whisperx[900].end 32778.934
transcript.whisperx[900].text 那我們就知道這個事情就必須趕快趕快增設抽水站那總經費多少6500萬我們給了幾十億50億以上60億以上但是抽水站只佔了這幾十億的幾分之幾也就是6500萬還在當下的時候到底經費有沒有合沒有合還在這邊
transcript.whisperx[901].start 32780.424
transcript.whisperx[901].end 32809.529
transcript.whisperx[901].text 我也不曉得啦當天的情況院長都在現場都非常清楚那總是河了那即便像這樣的經費如果假設沒有進藻河那我們明明知道這樣一個不對稱的治水方式趕快來設這個抽水站增加抽水的量能降低淹水的風險其實中央經濟部水利署應該是可以跟地方政府趕快坐下來溝通
transcript.whisperx[902].start 32810.467
transcript.whisperx[902].end 32829.186
transcript.whisperx[902].text 有的你能做 你能趕快做嘛 會在中央給你支持嘛而且你第八 第四 再慢一點 但是前陣子有相關的一些經費也都持續的在核定 在支持嘛那佔整體的這個經費才多少 為什麼這6500萬沒有辦法還要經過一年 到現在還沒有花包
transcript.whisperx[903].start 32832.962
transcript.whisperx[903].end 32856.152
transcript.whisperx[903].text 經過一年謝謝委員提醒我們之前前幾天去過之後關了幾個大牌的抽水說是那個錢滯洪池的擴大等等我都只是經濟部水利署要嘛就放在這次的特別風災的特別條例當中將來特別預算要嘛就如果可以緩一下就放在明年以後的四年一千億的
transcript.whisperx[904].start 32857.717
transcript.whisperx[904].end 32872.43
transcript.whisperx[904].text 縣管河川的改善計畫這一定要把它納進去的這個已經合訂了這是去年的楷米颱風發生之後檢討出來的然後需要來做這相關的設施建置那我想說今天
transcript.whisperx[905].start 32873.251
transcript.whisperx[905].end 32900.202
transcript.whisperx[905].text 今天試射搓水站它並不是一個高技術的施工方式只要地點沒有土地的問題就像新街那個滯洪池它快要擴增可能有牽涉到土地的徵收我想那個可能有時間上的一些問題的一些考量還是一些狀況會發生這個我們都能夠理解但是如果說在出外口的地方在大排出外口的地方去設這個搓水站基本上如果沒有用地的問題而且經費也不是非常之大
transcript.whisperx[906].start 32902.089
transcript.whisperx[906].end 32927.522
transcript.whisperx[906].text 這個應該是可以趕快去做處理的嗎我請經濟部要求水利署計劃沒問題經會如何來編定趕快跟委員做一個很清楚的答覆這個已經有編定了也已經核定給地方政府了這是地方政府必須要去做的我請水利署馬上確定答案告訴委員他第二張的簡報也是那天院長有看到的你看這個鳥松溯水站堤外排水橄欖公尺約1200萬
transcript.whisperx[907].start 32930.623
transcript.whisperx[907].end 32955.161
transcript.whisperx[907].text 一千兩百萬又佔了整個中央合併給予先生的預算才多少錢但是卡在什麼原因水利署長當下也有做一個報告他在高灘地要做這個排水他覺得用相反的方式是不太對的啦他跟地方政府在做這樣的溝通但地方政府有時候有時候如果不聽還是考慮了很久
transcript.whisperx[908].start 32956.144
transcript.whisperx[908].end 32984.607
transcript.whisperx[908].text 造成這個地方沒有辦法趕快去把這樣的一個排水引流做好那又淹水的時候這個責任規則 歸咎於誰這是其二 其三 你再看這是行政工工程委員會的一個發函給運縣政府113年度7月的楷米颱風針對林內平頂崩塌處崩塌處要去做整個這個整治的工程
transcript.whisperx[909].start 32985.353
transcript.whisperx[909].end 33001.007
transcript.whisperx[909].text 然後前前後後的公文可以看這黃色的標誌考量所提非屬災害擴大範疇且原規劃之基本設計內容及工法應與調整應與調整再來這是公共工程委員會給地方政府的意見再來
transcript.whisperx[910].start 33002.588
transcript.whisperx[910].end 33021.784
transcript.whisperx[910].text 就審查意見 核實編列經費 且避免因行政程序延長審議期程最後 後續經貴府多次提報為水保署均退請貴府修正後再送 能迄今能謂獲至共識去年的開美颱風 到現在
transcript.whisperx[911].start 33024.5
transcript.whisperx[911].end 33048.088
transcript.whisperx[911].text 最終還是合了那可能還是依照公共工程委會給的意見包含經會 進展委已經合但是地方政府有意見所以就一來一往 一來一往又一年了這三件事情我是要提醒院長萬一在這個地方災害持續擴大危及到人民的生命產產健康的時候這個責任歸屬屬於誰
transcript.whisperx[912].start 33051.29
transcript.whisperx[912].end 33076.521
transcript.whisperx[912].text 有這樣的狀況 我舉這三個例子給院長做參考不要在這裡推卸任何的責任如果水利署或工程會認為這個公法是值得我們堅持的說服地方政府我們就去執行了對 但是遲遲就已經拖了一年了拖了一年不遲遲啊一下子我們遇到丹納斯一下子又遇到這個洋流颱風如果造成更大的傷害 更大的損害的時候責任歸屬是誰
transcript.whisperx[913].start 33078.8
transcript.whisperx[913].end 33099.927
transcript.whisperx[913].text 我請院長重視這個事情啦 重視這個事情凡是中央地方充分合作這是必要的那這一件事情如果經過一年的還沒有辦法去執行的話我現在是希望工程會或水利署依照我們的工法說服地方政府 該執行就執行報告委員 剛才你說之前的這兩個地方那個工廠是管護的啦 是啊管護的 不是水利署的
transcript.whisperx[914].start 33106.237
transcript.whisperx[914].end 33128.188
transcript.whisperx[914].text 我知道 我剛才說的一句話就是我們補償人啊我們補償人之後就對了他不想叫水利署建業的公司去做嘛所以到現在還沒發報嘛還發生災害的時候這個責任要算什麼嘛所以跟委員報告這個部分我也是要跟地方政府好好溝通一下
transcript.whisperx[915].start 33128.993
transcript.whisperx[915].end 33155.571
transcript.whisperx[915].text 所以那天議長出席以後去選舉的時候 我不知道你怎麼說中央跟地方去坐下去嘛速度比較密切嘛 大家坐下去好好說嘛但是如果是說 我們就決定給他啊我們也覺得他的想法是有問題的我們也提出意見 他不想照這些意見去施工 我們也會有意見啊到時候這個工廠因為這樣低端低端以後 遇到擁有颱風來的時候 還造成比較大的傷害這個政見的規則 要怎麼算啊
transcript.whisperx[916].start 33162.255
transcript.whisperx[916].end 33178.224
transcript.whisperx[916].text 謝謝委員 委員的指教我們可以這樣做我請院長 請部長 這個可能會要很清楚的有正式公務答覆我們像這樣的事情 我舉三個例子喔不是只有經濟部 水利署還有包含公務工程委員會 還有農業部喔
transcript.whisperx[917].start 33179.465
transcript.whisperx[917].end 33201.394
transcript.whisperx[917].text 有牽涉到這個狀況的情況之下這個責任到底歸咎於誰請院長跟部長可能要慎重這個事情這是其一嘛其二在去年開明台風之後也就是當年度的7月29號院長可以看到這個圖表字比較小啦但是院長應該可以看到那個台一線跟鐵路橋
transcript.whisperx[918].start 33202.608
transcript.whisperx[918].end 33219.203
transcript.whisperx[918].text 院長就是站在鐵路橋的下游大湖口七小的橋上106年你看整個大湖口七小的淹水它是以色塊整個流域幾乎都是很嚴重的淹水狀況但是到院長113年7月29號
transcript.whisperx[919].start 33221.505
transcript.whisperx[919].end 33250.618
transcript.whisperx[919].text 到這個地方去了解的情況之下它就是這一個縮小這個範圍就是大湖口溪橋的上游跟下游處整整這個色塊裡面是一延的地方那院長後來才是也積極的支持做這個相關的支持所以雙邊的體穩加高把保護標準再重新做盤算然後體穩加高之後你院長可以看到今年的728的豪雨
transcript.whisperx[920].start 33251.258
transcript.whisperx[920].end 33277.751
transcript.whisperx[920].text 那個澀塊完全不見了所以我感謝院長但是反而這地方不淹水的下游處不到一公里處有一個仁辰橋我們是站在大湖湖口溪橋上下游處有一個仁辰橋那個仁辰橋在豪雨來的時候尼西歐巴塔來的時候造成靠近這個橋附近的市區董南市區淹了三四百戶
transcript.whisperx[921].start 33278.973
transcript.whisperx[921].end 33306.889
transcript.whisperx[921].text 我有到現場看一看就覺得這不像淹水不像大湖口溪因為液體水位滿過堤防造成那個地方去淹水因為它的人口開持續的在冒泡冒水所以是屬於倒灌最終最終水域署也查出來了這也有相關的新聞報導院長可以參考一下斗蘭淹水真相大白水域署表示下水到沒裝這物沒裝什麼就是
transcript.whisperx[922].start 33308.089
transcript.whisperx[922].end 33336.659
transcript.whisperx[922].text 防止倒灌的自動水門還是逆止滑所以他的下水道被倒灌進去那下水道要裝這一個自動水門還有逆止滑是誰的責任是地方政府的責任所以議署和第五分署也沒有去責怪這個地方政府那地方政府第一個時間就說就是你們陽管河川大霍溪的水淹到我們這個地方來
transcript.whisperx[923].start 33339.332
transcript.whisperx[923].end 33363.565
transcript.whisperx[923].text 在那邊噴口水毫無意義把原因找出來那總算找到了吧就是這個樣子嘛也就是說去年主任長到大戶口溪橋的時候這個地方一樣有淹水那今年又淹了但是大戶口溪橋周遭沒有淹水結果這個大戶口溪橋的道觀要做淹水調查
transcript.whisperx[924].start 33364.966
transcript.whisperx[924].end 33391.177
transcript.whisperx[924].text 李英啊 李英是菸在他們市區應該是地方政府的權限他要去做菸水調查反而是經濟部水利署第五分署去做菸水調查才查出說這個仁城橋下既然沒有設自動水門導致河川暴漲大吳國溪小的溪水倒灌到他們下水道原地找出來之後 零七二爆到現在幾天了
transcript.whisperx[925].start 33393.397
transcript.whisperx[925].end 33402.639
transcript.whisperx[925].text 這一個水門到現在一樣沒有失色楊宇賀來了在化身淹水則論歸屬是誰
transcript.whisperx[926].start 33405.919
transcript.whisperx[926].end 33433.949
transcript.whisperx[926].text 委員我希望如果要解決這個問題那委員能不能扮演一個中間的橋樑趕快把地方政府跟我們中央水利單位再把它媒合在一起讓它進行討論地方該做可以做或者需要協助做的中央一定來協助趕快把這件事情完成才不會我們做了一段下一段又開始積水淹水讓我們所做的工程都徒勞無功因為我時間快到了所以那天院長在選的時候特別講說未來整個整治就是
transcript.whisperx[927].start 33434.409
transcript.whisperx[927].end 33463.018
transcript.whisperx[927].text 一個重新盤點然後把整個系統必須要很清楚但是在系統要盤整清楚之前他的責任他的歸屬應該要也非常清楚不然會發生這種事情不管你先核定了沒辦法施工直接跟地方政府再加強要求我們來跟地方政府來努力來做這方面的協商我們都不希望再淹水但是他確實有在改善在進步當中但是有些系統
transcript.whisperx[928].start 33473.293
transcript.whisperx[928].end 33488.858
transcript.whisperx[928].text 好 謝謝劉建國委員質詢謝謝卓院長 相關部會所長的備詢 謝謝報議會登記第22位黃建斌委員質詢書面提出請行政院書面答覆並列入紀錄刊登公報
transcript.whisperx[929].start 33490.222
transcript.whisperx[929].end 33504.472
transcript.whisperx[929].text 我們抱怨會本日排定質詢的委員均已質詢完畢我們現在做以下決定一 將各委員發言記錄及書面質詢函送行政院請就未答覆部分予以書面答覆二
transcript.whisperx[930].start 33505.353
transcript.whisperx[930].end 33520.013
transcript.whisperx[930].text 已提出之書面質詢尚未登在公報者一律補刊另外依照黨團共識下次議院會我們不再進行國事論壇以及不再處理臨時提案
transcript.whisperx[931].start 33521.943
transcript.whisperx[931].end 33546.147
transcript.whisperx[931].text 本院會今天在散會之前要做以下說明今天院會的議程是行政院應本院的要求來本院進行專案報告基於立法院行政院互相尊重的憲政原理行政院院長及相關部會首長既已經應邀列席本院院會備詢為表示尊重
transcript.whisperx[932].start 33547.108
transcript.whisperx[932].end 33575.417
transcript.whisperx[932].text 再一次要拜托各党团促请所属的委员踊跃出席院会以来了解行政院针对专案报告之施政情形用以监督及协助政府施政保障人民的权益最后要再一次感谢卓院长以及相关部会首长今天列席院会的答询在最后院会毅然坚持到最后的我们王毓民委员
transcript.whisperx[933].start 33576.617
transcript.whisperx[933].end 33583.568
transcript.whisperx[933].text 劉淑冰委員非常非常感謝各位委員的參與本次院會進行到此為止現在散會