iVOD / 15734

Field Value
IVOD_ID 15734
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/15734
日期 2024-03-18
會議資料.會議代碼 委員會-11-1-15-7
會議資料.會議代碼:str 第11屆第1會期內政委員會第7次全體委員會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 7
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第1會期內政委員會第7次全體委員會議
影片種類 Full
開始時間 2024-03-18T08:31:37+08:00
結束時間 2024-03-18T13:11:00+08:00
影片長度 04:39:23
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/eeffa975d6a1e3ea3e43fff42b9abd610a73ccf8a48a70923be8d109af184be4dd65e936c79acf265ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-03-18T09:00:00+08:00
會議名稱 立法院第11屆第1會期內政委員會第7次全體委員會議(事由:邀請內政部部長率同所屬列席報告業務概況,並備質詢。【3月18日及20日二天一次會】)
委員名稱 完整會議
委員發言時間 08:31:37 - 13:11:00
transcript.pyannote[0].speaker SPEAKER_22
transcript.pyannote[0].start 1714.51409375
transcript.pyannote[0].end 1717.66971875
transcript.pyannote[1].speaker SPEAKER_15
transcript.pyannote[1].start 1718.39534375
transcript.pyannote[1].end 1721.73659375
transcript.pyannote[2].speaker SPEAKER_22
transcript.pyannote[2].start 1722.34409375
transcript.pyannote[2].end 1726.96784375
transcript.pyannote[3].speaker SPEAKER_15
transcript.pyannote[3].start 1728.36846875
transcript.pyannote[3].end 1738.71284375
transcript.pyannote[4].speaker SPEAKER_15
transcript.pyannote[4].start 1739.13471875
transcript.pyannote[4].end 1748.07846875
transcript.pyannote[5].speaker SPEAKER_15
transcript.pyannote[5].start 1748.58471875
transcript.pyannote[5].end 1752.16221875
transcript.pyannote[6].speaker SPEAKER_15
transcript.pyannote[6].start 1752.38159375
transcript.pyannote[6].end 1755.53721875
transcript.pyannote[7].speaker SPEAKER_15
transcript.pyannote[7].start 1755.77346875
transcript.pyannote[7].end 1757.46096875
transcript.pyannote[8].speaker SPEAKER_15
transcript.pyannote[8].start 1758.13596875
transcript.pyannote[8].end 1768.64909375
transcript.pyannote[9].speaker SPEAKER_15
transcript.pyannote[9].start 1768.98659375
transcript.pyannote[9].end 1772.56409375
transcript.pyannote[10].speaker SPEAKER_15
transcript.pyannote[10].start 1772.76659375
transcript.pyannote[10].end 1777.49159375
transcript.pyannote[11].speaker SPEAKER_15
transcript.pyannote[11].start 1777.66034375
transcript.pyannote[11].end 1781.47409375
transcript.pyannote[12].speaker SPEAKER_15
transcript.pyannote[12].start 1781.55846875
transcript.pyannote[12].end 1783.46534375
transcript.pyannote[13].speaker SPEAKER_15
transcript.pyannote[13].start 1783.83659375
transcript.pyannote[13].end 1787.41409375
transcript.pyannote[14].speaker SPEAKER_15
transcript.pyannote[14].start 1787.59971875
transcript.pyannote[14].end 1792.10534375
transcript.pyannote[15].speaker SPEAKER_15
transcript.pyannote[15].start 1792.52721875
transcript.pyannote[15].end 1796.98221875
transcript.pyannote[16].speaker SPEAKER_15
transcript.pyannote[16].start 1797.37034375
transcript.pyannote[16].end 1799.36159375
transcript.pyannote[17].speaker SPEAKER_15
transcript.pyannote[17].start 1799.58096875
transcript.pyannote[17].end 1803.61409375
transcript.pyannote[18].speaker SPEAKER_15
transcript.pyannote[18].start 1804.10346875
transcript.pyannote[18].end 1806.06096875
transcript.pyannote[19].speaker SPEAKER_15
transcript.pyannote[19].start 1806.11159375
transcript.pyannote[19].end 1812.11909375
transcript.pyannote[20].speaker SPEAKER_15
transcript.pyannote[20].start 1812.87846875
transcript.pyannote[20].end 1817.48534375
transcript.pyannote[21].speaker SPEAKER_15
transcript.pyannote[21].start 1817.75534375
transcript.pyannote[21].end 1823.99909375
transcript.pyannote[22].speaker SPEAKER_15
transcript.pyannote[22].start 1824.47159375
transcript.pyannote[22].end 1829.78721875
transcript.pyannote[23].speaker SPEAKER_15
transcript.pyannote[23].start 1830.25971875
transcript.pyannote[23].end 1834.71471875
transcript.pyannote[24].speaker SPEAKER_15
transcript.pyannote[24].start 1834.98471875
transcript.pyannote[24].end 1837.83659375
transcript.pyannote[25].speaker SPEAKER_15
transcript.pyannote[25].start 1838.02221875
transcript.pyannote[25].end 1840.70534375
transcript.pyannote[26].speaker SPEAKER_15
transcript.pyannote[26].start 1841.12721875
transcript.pyannote[26].end 1843.84409375
transcript.pyannote[27].speaker SPEAKER_15
transcript.pyannote[27].start 1844.06346875
transcript.pyannote[27].end 1844.38409375
transcript.pyannote[28].speaker SPEAKER_15
transcript.pyannote[28].start 1844.50221875
transcript.pyannote[28].end 1848.67034375
transcript.pyannote[29].speaker SPEAKER_15
transcript.pyannote[29].start 1848.82221875
transcript.pyannote[29].end 1852.07909375
transcript.pyannote[30].speaker SPEAKER_15
transcript.pyannote[30].start 1852.39971875
transcript.pyannote[30].end 1852.80471875
transcript.pyannote[31].speaker SPEAKER_15
transcript.pyannote[31].start 1853.10846875
transcript.pyannote[31].end 1860.75284375
transcript.pyannote[32].speaker SPEAKER_22
transcript.pyannote[32].start 1861.54596875
transcript.pyannote[32].end 1866.50721875
transcript.pyannote[33].speaker SPEAKER_22
transcript.pyannote[33].start 1867.85721875
transcript.pyannote[33].end 1868.76846875
transcript.pyannote[34].speaker SPEAKER_22
transcript.pyannote[34].start 1870.60784375
transcript.pyannote[34].end 1871.24909375
transcript.pyannote[35].speaker SPEAKER_22
transcript.pyannote[35].start 1871.55284375
transcript.pyannote[35].end 1875.51846875
transcript.pyannote[36].speaker SPEAKER_22
transcript.pyannote[36].start 1876.17659375
transcript.pyannote[36].end 1879.41659375
transcript.pyannote[37].speaker SPEAKER_15
transcript.pyannote[37].start 1879.41659375
transcript.pyannote[37].end 1879.45034375
transcript.pyannote[38].speaker SPEAKER_22
transcript.pyannote[38].start 1880.02409375
transcript.pyannote[38].end 1880.04096875
transcript.pyannote[39].speaker SPEAKER_15
transcript.pyannote[39].start 1880.04096875
transcript.pyannote[39].end 1885.54221875
transcript.pyannote[40].speaker SPEAKER_22
transcript.pyannote[40].start 1885.54221875
transcript.pyannote[40].end 1885.59284375
transcript.pyannote[41].speaker SPEAKER_22
transcript.pyannote[41].start 1888.12409375
transcript.pyannote[41].end 1893.54096875
transcript.pyannote[42].speaker SPEAKER_22
transcript.pyannote[42].start 1896.08909375
transcript.pyannote[42].end 1900.22346875
transcript.pyannote[43].speaker SPEAKER_22
transcript.pyannote[43].start 1901.69159375
transcript.pyannote[43].end 1903.02471875
transcript.pyannote[44].speaker SPEAKER_22
transcript.pyannote[44].start 1904.93159375
transcript.pyannote[44].end 1914.66846875
transcript.pyannote[45].speaker SPEAKER_22
transcript.pyannote[45].start 1915.57971875
transcript.pyannote[45].end 1916.08596875
transcript.pyannote[46].speaker SPEAKER_22
transcript.pyannote[46].start 1918.41471875
transcript.pyannote[46].end 1920.72659375
transcript.pyannote[47].speaker SPEAKER_22
transcript.pyannote[47].start 1922.63346875
transcript.pyannote[47].end 1925.06346875
transcript.pyannote[48].speaker SPEAKER_22
transcript.pyannote[48].start 1926.95346875
transcript.pyannote[48].end 1928.96159375
transcript.pyannote[49].speaker SPEAKER_22
transcript.pyannote[49].start 1930.81784375
transcript.pyannote[49].end 1934.19284375
transcript.pyannote[50].speaker SPEAKER_22
transcript.pyannote[50].start 1936.16721875
transcript.pyannote[50].end 1939.45784375
transcript.pyannote[51].speaker SPEAKER_22
transcript.pyannote[51].start 1941.41534375
transcript.pyannote[51].end 1943.65971875
transcript.pyannote[52].speaker SPEAKER_22
transcript.pyannote[52].start 1945.48221875
transcript.pyannote[52].end 1947.94596875
transcript.pyannote[53].speaker SPEAKER_22
transcript.pyannote[53].start 1949.75159375
transcript.pyannote[53].end 1952.16471875
transcript.pyannote[54].speaker SPEAKER_22
transcript.pyannote[54].start 1953.78471875
transcript.pyannote[54].end 1955.96159375
transcript.pyannote[55].speaker SPEAKER_22
transcript.pyannote[55].start 1958.05409375
transcript.pyannote[55].end 1960.34909375
transcript.pyannote[56].speaker SPEAKER_22
transcript.pyannote[56].start 1962.03659375
transcript.pyannote[56].end 1964.56784375
transcript.pyannote[57].speaker SPEAKER_22
transcript.pyannote[57].start 1966.86284375
transcript.pyannote[57].end 1969.17471875
transcript.pyannote[58].speaker SPEAKER_22
transcript.pyannote[58].start 1971.01409375
transcript.pyannote[58].end 1973.49471875
transcript.pyannote[59].speaker SPEAKER_22
transcript.pyannote[59].start 1975.23284375
transcript.pyannote[59].end 1977.66284375
transcript.pyannote[60].speaker SPEAKER_22
transcript.pyannote[60].start 1979.48534375
transcript.pyannote[60].end 1982.40471875
transcript.pyannote[61].speaker SPEAKER_22
transcript.pyannote[61].start 1985.08784375
transcript.pyannote[61].end 1988.56409375
transcript.pyannote[62].speaker SPEAKER_22
transcript.pyannote[62].start 1989.94784375
transcript.pyannote[62].end 1991.26409375
transcript.pyannote[63].speaker SPEAKER_22
transcript.pyannote[63].start 1991.43284375
transcript.pyannote[63].end 1994.43659375
transcript.pyannote[64].speaker SPEAKER_22
transcript.pyannote[64].start 1997.71034375
transcript.pyannote[64].end 2000.61284375
transcript.pyannote[65].speaker SPEAKER_22
transcript.pyannote[65].start 2002.97534375
transcript.pyannote[65].end 2006.51909375
transcript.pyannote[66].speaker SPEAKER_22
transcript.pyannote[66].start 2008.47659375
transcript.pyannote[66].end 2011.58159375
transcript.pyannote[67].speaker SPEAKER_22
transcript.pyannote[67].start 2013.45471875
transcript.pyannote[67].end 2016.94784375
transcript.pyannote[68].speaker SPEAKER_22
transcript.pyannote[68].start 2019.32721875
transcript.pyannote[68].end 2022.24659375
transcript.pyannote[69].speaker SPEAKER_22
transcript.pyannote[69].start 2024.32221875
transcript.pyannote[69].end 2027.10659375
transcript.pyannote[70].speaker SPEAKER_22
transcript.pyannote[70].start 2029.01346875
transcript.pyannote[70].end 2032.06784375
transcript.pyannote[71].speaker SPEAKER_22
transcript.pyannote[71].start 2034.16034375
transcript.pyannote[71].end 2037.29909375
transcript.pyannote[72].speaker SPEAKER_22
transcript.pyannote[72].start 2039.39159375
transcript.pyannote[72].end 2042.24346875
transcript.pyannote[73].speaker SPEAKER_22
transcript.pyannote[73].start 2044.30221875
transcript.pyannote[73].end 2046.86721875
transcript.pyannote[74].speaker SPEAKER_22
transcript.pyannote[74].start 2049.24659375
transcript.pyannote[74].end 2052.13221875
transcript.pyannote[75].speaker SPEAKER_22
transcript.pyannote[75].start 2053.92096875
transcript.pyannote[75].end 2056.78971875
transcript.pyannote[76].speaker SPEAKER_22
transcript.pyannote[76].start 2059.18596875
transcript.pyannote[76].end 2061.21096875
transcript.pyannote[77].speaker SPEAKER_22
transcript.pyannote[77].start 2063.21909375
transcript.pyannote[77].end 2064.38346875
transcript.pyannote[78].speaker SPEAKER_22
transcript.pyannote[78].start 2064.56909375
transcript.pyannote[78].end 2065.71659375
transcript.pyannote[79].speaker SPEAKER_22
transcript.pyannote[79].start 2067.91034375
transcript.pyannote[79].end 2071.77471875
transcript.pyannote[80].speaker SPEAKER_22
transcript.pyannote[80].start 2073.71534375
transcript.pyannote[80].end 2076.34784375
transcript.pyannote[81].speaker SPEAKER_22
transcript.pyannote[81].start 2078.72721875
transcript.pyannote[81].end 2081.25846875
transcript.pyannote[82].speaker SPEAKER_22
transcript.pyannote[82].start 2084.11034375
transcript.pyannote[82].end 2086.47284375
transcript.pyannote[83].speaker SPEAKER_22
transcript.pyannote[83].start 2088.88596875
transcript.pyannote[83].end 2092.39596875
transcript.pyannote[84].speaker SPEAKER_22
transcript.pyannote[84].start 2094.18471875
transcript.pyannote[84].end 2108.19096875
transcript.pyannote[85].speaker SPEAKER_22
transcript.pyannote[85].start 2108.89971875
transcript.pyannote[85].end 2111.83596875
transcript.pyannote[86].speaker SPEAKER_22
transcript.pyannote[86].start 2112.17346875
transcript.pyannote[86].end 2114.92409375
transcript.pyannote[87].speaker SPEAKER_22
transcript.pyannote[87].start 2115.85221875
transcript.pyannote[87].end 2116.45971875
transcript.pyannote[88].speaker SPEAKER_22
transcript.pyannote[88].start 2116.83096875
transcript.pyannote[88].end 2117.55659375
transcript.pyannote[89].speaker SPEAKER_22
transcript.pyannote[89].start 2118.02909375
transcript.pyannote[89].end 2121.38721875
transcript.pyannote[90].speaker SPEAKER_22
transcript.pyannote[90].start 2121.91034375
transcript.pyannote[90].end 2124.62721875
transcript.pyannote[91].speaker SPEAKER_22
transcript.pyannote[91].start 2124.96471875
transcript.pyannote[91].end 2132.20409375
transcript.pyannote[92].speaker SPEAKER_22
transcript.pyannote[92].start 2133.06471875
transcript.pyannote[92].end 2134.21221875
transcript.pyannote[93].speaker SPEAKER_22
transcript.pyannote[93].start 2135.10659375
transcript.pyannote[93].end 2139.37596875
transcript.pyannote[94].speaker SPEAKER_28
transcript.pyannote[94].start 2139.74721875
transcript.pyannote[94].end 2144.08409375
transcript.pyannote[95].speaker SPEAKER_22
transcript.pyannote[95].start 2140.96221875
transcript.pyannote[95].end 2147.22284375
transcript.pyannote[96].speaker SPEAKER_28
transcript.pyannote[96].start 2147.22284375
transcript.pyannote[96].end 2148.50534375
transcript.pyannote[97].speaker SPEAKER_22
transcript.pyannote[97].start 2148.55596875
transcript.pyannote[97].end 2155.79534375
transcript.pyannote[98].speaker SPEAKER_22
transcript.pyannote[98].start 2157.68534375
transcript.pyannote[98].end 2163.23721875
transcript.pyannote[99].speaker SPEAKER_24
transcript.pyannote[99].start 2170.15596875
transcript.pyannote[99].end 2171.91096875
transcript.pyannote[100].speaker SPEAKER_24
transcript.pyannote[100].start 2172.60284375
transcript.pyannote[100].end 2176.06221875
transcript.pyannote[101].speaker SPEAKER_24
transcript.pyannote[101].start 2176.51784375
transcript.pyannote[101].end 2185.02284375
transcript.pyannote[102].speaker SPEAKER_24
transcript.pyannote[102].start 2186.57534375
transcript.pyannote[102].end 2195.06346875
transcript.pyannote[103].speaker SPEAKER_24
transcript.pyannote[103].start 2195.50221875
transcript.pyannote[103].end 2197.99971875
transcript.pyannote[104].speaker SPEAKER_24
transcript.pyannote[104].start 2198.38784375
transcript.pyannote[104].end 2200.96971875
transcript.pyannote[105].speaker SPEAKER_24
transcript.pyannote[105].start 2201.62784375
transcript.pyannote[105].end 2208.02346875
transcript.pyannote[106].speaker SPEAKER_24
transcript.pyannote[106].start 2208.46221875
transcript.pyannote[106].end 2212.03971875
transcript.pyannote[107].speaker SPEAKER_24
transcript.pyannote[107].start 2212.41096875
transcript.pyannote[107].end 2214.45284375
transcript.pyannote[108].speaker SPEAKER_24
transcript.pyannote[108].start 2214.77346875
transcript.pyannote[108].end 2216.89971875
transcript.pyannote[109].speaker SPEAKER_24
transcript.pyannote[109].start 2217.74346875
transcript.pyannote[109].end 2222.33346875
transcript.pyannote[110].speaker SPEAKER_24
transcript.pyannote[110].start 2222.62034375
transcript.pyannote[110].end 2225.33721875
transcript.pyannote[111].speaker SPEAKER_24
transcript.pyannote[111].start 2225.69159375
transcript.pyannote[111].end 2231.90159375
transcript.pyannote[112].speaker SPEAKER_24
transcript.pyannote[112].start 2232.79596875
transcript.pyannote[112].end 2235.61409375
transcript.pyannote[113].speaker SPEAKER_24
transcript.pyannote[113].start 2236.03596875
transcript.pyannote[113].end 2238.21284375
transcript.pyannote[114].speaker SPEAKER_24
transcript.pyannote[114].start 2239.19159375
transcript.pyannote[114].end 2247.73034375
transcript.pyannote[115].speaker SPEAKER_24
transcript.pyannote[115].start 2248.23659375
transcript.pyannote[115].end 2250.68346875
transcript.pyannote[116].speaker SPEAKER_24
transcript.pyannote[116].start 2251.07159375
transcript.pyannote[116].end 2251.74659375
transcript.pyannote[117].speaker SPEAKER_24
transcript.pyannote[117].start 2251.98284375
transcript.pyannote[117].end 2253.77159375
transcript.pyannote[118].speaker SPEAKER_24
transcript.pyannote[118].start 2253.97409375
transcript.pyannote[118].end 2257.06221875
transcript.pyannote[119].speaker SPEAKER_24
transcript.pyannote[119].start 2257.97346875
transcript.pyannote[119].end 2260.01534375
transcript.pyannote[120].speaker SPEAKER_24
transcript.pyannote[120].start 2260.18409375
transcript.pyannote[120].end 2264.89221875
transcript.pyannote[121].speaker SPEAKER_24
transcript.pyannote[121].start 2265.06096875
transcript.pyannote[121].end 2274.94971875
transcript.pyannote[122].speaker SPEAKER_24
transcript.pyannote[122].start 2275.67534375
transcript.pyannote[122].end 2278.54409375
transcript.pyannote[123].speaker SPEAKER_24
transcript.pyannote[123].start 2278.81409375
transcript.pyannote[123].end 2282.10471875
transcript.pyannote[124].speaker SPEAKER_24
transcript.pyannote[124].start 2282.57721875
transcript.pyannote[124].end 2282.89784375
transcript.pyannote[125].speaker SPEAKER_24
transcript.pyannote[125].start 2283.21846875
transcript.pyannote[125].end 2288.33159375
transcript.pyannote[126].speaker SPEAKER_24
transcript.pyannote[126].start 2288.68596875
transcript.pyannote[126].end 2293.83284375
transcript.pyannote[127].speaker SPEAKER_24
transcript.pyannote[127].start 2294.17034375
transcript.pyannote[127].end 2300.59971875
transcript.pyannote[128].speaker SPEAKER_24
transcript.pyannote[128].start 2304.17721875
transcript.pyannote[128].end 2306.11784375
transcript.pyannote[129].speaker SPEAKER_24
transcript.pyannote[129].start 2306.40471875
transcript.pyannote[129].end 2313.42471875
transcript.pyannote[130].speaker SPEAKER_24
transcript.pyannote[130].start 2313.84659375
transcript.pyannote[130].end 2317.44096875
transcript.pyannote[131].speaker SPEAKER_24
transcript.pyannote[131].start 2317.67721875
transcript.pyannote[131].end 2319.87096875
transcript.pyannote[132].speaker SPEAKER_24
transcript.pyannote[132].start 2320.27596875
transcript.pyannote[132].end 2324.03909375
transcript.pyannote[133].speaker SPEAKER_24
transcript.pyannote[133].start 2324.98409375
transcript.pyannote[133].end 2328.05534375
transcript.pyannote[134].speaker SPEAKER_24
transcript.pyannote[134].start 2328.22409375
transcript.pyannote[134].end 2332.22346875
transcript.pyannote[135].speaker SPEAKER_24
transcript.pyannote[135].start 2332.52721875
transcript.pyannote[135].end 2335.69971875
transcript.pyannote[136].speaker SPEAKER_24
transcript.pyannote[136].start 2335.86846875
transcript.pyannote[136].end 2336.74596875
transcript.pyannote[137].speaker SPEAKER_24
transcript.pyannote[137].start 2337.06659375
transcript.pyannote[137].end 2338.28159375
transcript.pyannote[138].speaker SPEAKER_24
transcript.pyannote[138].start 2338.63596875
transcript.pyannote[138].end 2345.06534375
transcript.pyannote[139].speaker SPEAKER_24
transcript.pyannote[139].start 2345.63909375
transcript.pyannote[139].end 2351.79846875
transcript.pyannote[140].speaker SPEAKER_24
transcript.pyannote[140].start 2352.23721875
transcript.pyannote[140].end 2354.24534375
transcript.pyannote[141].speaker SPEAKER_24
transcript.pyannote[141].start 2354.98784375
transcript.pyannote[141].end 2360.52284375
transcript.pyannote[142].speaker SPEAKER_24
transcript.pyannote[142].start 2360.60721875
transcript.pyannote[142].end 2361.58596875
transcript.pyannote[143].speaker SPEAKER_24
transcript.pyannote[143].start 2362.00784375
transcript.pyannote[143].end 2367.45846875
transcript.pyannote[144].speaker SPEAKER_24
transcript.pyannote[144].start 2368.13346875
transcript.pyannote[144].end 2373.02721875
transcript.pyannote[145].speaker SPEAKER_24
transcript.pyannote[145].start 2373.44909375
transcript.pyannote[145].end 2375.40659375
transcript.pyannote[146].speaker SPEAKER_24
transcript.pyannote[146].start 2375.89596875
transcript.pyannote[146].end 2380.06409375
transcript.pyannote[147].speaker SPEAKER_24
transcript.pyannote[147].start 2380.84034375
transcript.pyannote[147].end 2382.42659375
transcript.pyannote[148].speaker SPEAKER_24
transcript.pyannote[148].start 2383.21971875
transcript.pyannote[148].end 2390.66159375
transcript.pyannote[149].speaker SPEAKER_24
transcript.pyannote[149].start 2390.69534375
transcript.pyannote[149].end 2397.31034375
transcript.pyannote[150].speaker SPEAKER_24
transcript.pyannote[150].start 2399.65596875
transcript.pyannote[150].end 2410.03409375
transcript.pyannote[151].speaker SPEAKER_24
transcript.pyannote[151].start 2410.38846875
transcript.pyannote[151].end 2413.86471875
transcript.pyannote[152].speaker SPEAKER_24
transcript.pyannote[152].start 2414.23596875
transcript.pyannote[152].end 2418.52221875
transcript.pyannote[153].speaker SPEAKER_24
transcript.pyannote[153].start 2418.79221875
transcript.pyannote[153].end 2423.16284375
transcript.pyannote[154].speaker SPEAKER_24
transcript.pyannote[154].start 2423.36534375
transcript.pyannote[154].end 2430.63846875
transcript.pyannote[155].speaker SPEAKER_24
transcript.pyannote[155].start 2431.02659375
transcript.pyannote[155].end 2435.85284375
transcript.pyannote[156].speaker SPEAKER_24
transcript.pyannote[156].start 2436.05534375
transcript.pyannote[156].end 2438.04659375
transcript.pyannote[157].speaker SPEAKER_24
transcript.pyannote[157].start 2440.29096875
transcript.pyannote[157].end 2440.91534375
transcript.pyannote[158].speaker SPEAKER_24
transcript.pyannote[158].start 2441.47221875
transcript.pyannote[158].end 2458.09409375
transcript.pyannote[159].speaker SPEAKER_24
transcript.pyannote[159].start 2458.38096875
transcript.pyannote[159].end 2461.92471875
transcript.pyannote[160].speaker SPEAKER_24
transcript.pyannote[160].start 2462.75159375
transcript.pyannote[160].end 2473.39971875
transcript.pyannote[161].speaker SPEAKER_24
transcript.pyannote[161].start 2475.25596875
transcript.pyannote[161].end 2476.11659375
transcript.pyannote[162].speaker SPEAKER_24
transcript.pyannote[162].start 2477.58471875
transcript.pyannote[162].end 2478.52971875
transcript.pyannote[163].speaker SPEAKER_24
transcript.pyannote[163].start 2478.76596875
transcript.pyannote[163].end 2479.39034375
transcript.pyannote[164].speaker SPEAKER_24
transcript.pyannote[164].start 2481.17909375
transcript.pyannote[164].end 2493.29534375
transcript.pyannote[165].speaker SPEAKER_24
transcript.pyannote[165].start 2493.86909375
transcript.pyannote[165].end 2499.43784375
transcript.pyannote[166].speaker SPEAKER_24
transcript.pyannote[166].start 2499.92721875
transcript.pyannote[166].end 2508.02721875
transcript.pyannote[167].speaker SPEAKER_24
transcript.pyannote[167].start 2508.58409375
transcript.pyannote[167].end 2539.85346875
transcript.pyannote[168].speaker SPEAKER_24
transcript.pyannote[168].start 2540.83221875
transcript.pyannote[168].end 2558.38221875
transcript.pyannote[169].speaker SPEAKER_24
transcript.pyannote[169].start 2558.58471875
transcript.pyannote[169].end 2568.65909375
transcript.pyannote[170].speaker SPEAKER_24
transcript.pyannote[170].start 2569.26659375
transcript.pyannote[170].end 2585.41596875
transcript.pyannote[171].speaker SPEAKER_24
transcript.pyannote[171].start 2585.68596875
transcript.pyannote[171].end 2591.00159375
transcript.pyannote[172].speaker SPEAKER_24
transcript.pyannote[172].start 2591.47409375
transcript.pyannote[172].end 2592.26721875
transcript.pyannote[173].speaker SPEAKER_24
transcript.pyannote[173].start 2592.67221875
transcript.pyannote[173].end 2597.90346875
transcript.pyannote[174].speaker SPEAKER_24
transcript.pyannote[174].start 2598.29159375
transcript.pyannote[174].end 2604.18096875
transcript.pyannote[175].speaker SPEAKER_24
transcript.pyannote[175].start 2604.33284375
transcript.pyannote[175].end 2622.42284375
transcript.pyannote[176].speaker SPEAKER_24
transcript.pyannote[176].start 2622.76034375
transcript.pyannote[176].end 2629.12221875
transcript.pyannote[177].speaker SPEAKER_24
transcript.pyannote[177].start 2629.56096875
transcript.pyannote[177].end 2632.66596875
transcript.pyannote[178].speaker SPEAKER_22
transcript.pyannote[178].start 2635.26471875
transcript.pyannote[178].end 2642.28471875
transcript.pyannote[179].speaker SPEAKER_18
transcript.pyannote[179].start 2648.12346875
transcript.pyannote[179].end 2650.38471875
transcript.pyannote[180].speaker SPEAKER_22
transcript.pyannote[180].start 2650.63784375
transcript.pyannote[180].end 2651.39721875
transcript.pyannote[181].speaker SPEAKER_27
transcript.pyannote[181].start 2658.36659375
transcript.pyannote[181].end 2658.83909375
transcript.pyannote[182].speaker SPEAKER_20
transcript.pyannote[182].start 2658.83909375
transcript.pyannote[182].end 2668.03596875
transcript.pyannote[183].speaker SPEAKER_18
transcript.pyannote[183].start 2668.03596875
transcript.pyannote[183].end 2669.97659375
transcript.pyannote[184].speaker SPEAKER_20
transcript.pyannote[184].start 2669.97659375
transcript.pyannote[184].end 2670.02721875
transcript.pyannote[185].speaker SPEAKER_18
transcript.pyannote[185].start 2670.02721875
transcript.pyannote[185].end 2674.97159375
transcript.pyannote[186].speaker SPEAKER_20
transcript.pyannote[186].start 2674.97159375
transcript.pyannote[186].end 2701.34721875
transcript.pyannote[187].speaker SPEAKER_23
transcript.pyannote[187].start 2681.90721875
transcript.pyannote[187].end 2682.24471875
transcript.pyannote[188].speaker SPEAKER_20
transcript.pyannote[188].start 2701.56659375
transcript.pyannote[188].end 2701.60034375
transcript.pyannote[189].speaker SPEAKER_28
transcript.pyannote[189].start 2701.60034375
transcript.pyannote[189].end 2701.70159375
transcript.pyannote[190].speaker SPEAKER_20
transcript.pyannote[190].start 2701.70159375
transcript.pyannote[190].end 2711.05034375
transcript.pyannote[191].speaker SPEAKER_28
transcript.pyannote[191].start 2701.71846875
transcript.pyannote[191].end 2702.74784375
transcript.pyannote[192].speaker SPEAKER_20
transcript.pyannote[192].start 2711.33721875
transcript.pyannote[192].end 2711.40471875
transcript.pyannote[193].speaker SPEAKER_18
transcript.pyannote[193].start 2711.40471875
transcript.pyannote[193].end 2712.19784375
transcript.pyannote[194].speaker SPEAKER_20
transcript.pyannote[194].start 2712.19784375
transcript.pyannote[194].end 2712.21471875
transcript.pyannote[195].speaker SPEAKER_18
transcript.pyannote[195].start 2713.66596875
transcript.pyannote[195].end 2714.00346875
transcript.pyannote[196].speaker SPEAKER_20
transcript.pyannote[196].start 2714.00346875
transcript.pyannote[196].end 2714.02034375
transcript.pyannote[197].speaker SPEAKER_18
transcript.pyannote[197].start 2714.34096875
transcript.pyannote[197].end 2715.31971875
transcript.pyannote[198].speaker SPEAKER_20
transcript.pyannote[198].start 2715.31971875
transcript.pyannote[198].end 2715.33659375
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 2715.97784375
transcript.pyannote[199].end 2716.02846875
transcript.pyannote[200].speaker SPEAKER_20
transcript.pyannote[200].start 2716.02846875
transcript.pyannote[200].end 2716.28159375
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 2716.28159375
transcript.pyannote[201].end 2716.36596875
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 2718.18846875
transcript.pyannote[202].end 2721.96846875
transcript.pyannote[203].speaker SPEAKER_20
transcript.pyannote[203].start 2721.96846875
transcript.pyannote[203].end 2725.68096875
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 2726.47409375
transcript.pyannote[204].end 2726.89596875
transcript.pyannote[205].speaker SPEAKER_20
transcript.pyannote[205].start 2726.89596875
transcript.pyannote[205].end 2728.21221875
transcript.pyannote[206].speaker SPEAKER_20
transcript.pyannote[206].start 2728.46534375
transcript.pyannote[206].end 2733.74721875
transcript.pyannote[207].speaker SPEAKER_20
transcript.pyannote[207].start 2733.96659375
transcript.pyannote[207].end 2735.01284375
transcript.pyannote[208].speaker SPEAKER_20
transcript.pyannote[208].start 2736.61596875
transcript.pyannote[208].end 2738.57346875
transcript.pyannote[209].speaker SPEAKER_20
transcript.pyannote[209].start 2738.72534375
transcript.pyannote[209].end 2755.33034375
transcript.pyannote[210].speaker SPEAKER_20
transcript.pyannote[210].start 2755.78596875
transcript.pyannote[210].end 2757.57471875
transcript.pyannote[211].speaker SPEAKER_20
transcript.pyannote[211].start 2758.65471875
transcript.pyannote[211].end 2758.97534375
transcript.pyannote[212].speaker SPEAKER_20
transcript.pyannote[212].start 2759.63346875
transcript.pyannote[212].end 2761.52346875
transcript.pyannote[213].speaker SPEAKER_20
transcript.pyannote[213].start 2761.77659375
transcript.pyannote[213].end 2762.43471875
transcript.pyannote[214].speaker SPEAKER_20
transcript.pyannote[214].start 2763.16034375
transcript.pyannote[214].end 2783.37659375
transcript.pyannote[215].speaker SPEAKER_20
transcript.pyannote[215].start 2783.81534375
transcript.pyannote[215].end 2791.00409375
transcript.pyannote[216].speaker SPEAKER_20
transcript.pyannote[216].start 2791.62846875
transcript.pyannote[216].end 2792.43846875
transcript.pyannote[217].speaker SPEAKER_20
transcript.pyannote[217].start 2792.94471875
transcript.pyannote[217].end 2794.48034375
transcript.pyannote[218].speaker SPEAKER_20
transcript.pyannote[218].start 2797.68659375
transcript.pyannote[218].end 2797.85534375
transcript.pyannote[219].speaker SPEAKER_04
transcript.pyannote[219].start 2800.55534375
transcript.pyannote[219].end 2813.12721875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 2802.09096875
transcript.pyannote[220].end 2802.10784375
transcript.pyannote[221].speaker SPEAKER_27
transcript.pyannote[221].start 2802.10784375
transcript.pyannote[221].end 2802.19221875
transcript.pyannote[222].speaker SPEAKER_28
transcript.pyannote[222].start 2802.19221875
transcript.pyannote[222].end 2802.44534375
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 2802.44534375
transcript.pyannote[223].end 2802.54659375
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 2807.96346875
transcript.pyannote[224].end 2808.33471875
transcript.pyannote[225].speaker SPEAKER_27
transcript.pyannote[225].start 2808.33471875
transcript.pyannote[225].end 2808.36846875
transcript.pyannote[226].speaker SPEAKER_20
transcript.pyannote[226].start 2810.27534375
transcript.pyannote[226].end 2810.66346875
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 2811.22034375
transcript.pyannote[227].end 2811.28784375
transcript.pyannote[228].speaker SPEAKER_20
transcript.pyannote[228].start 2811.28784375
transcript.pyannote[228].end 2812.24971875
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 2813.21159375
transcript.pyannote[229].end 2816.60346875
transcript.pyannote[230].speaker SPEAKER_20
transcript.pyannote[230].start 2816.60346875
transcript.pyannote[230].end 2876.56034375
transcript.pyannote[231].speaker SPEAKER_20
transcript.pyannote[231].start 2877.21846875
transcript.pyannote[231].end 2878.28159375
transcript.pyannote[232].speaker SPEAKER_20
transcript.pyannote[232].start 2879.78346875
transcript.pyannote[232].end 2897.73846875
transcript.pyannote[233].speaker SPEAKER_20
transcript.pyannote[233].start 2898.14346875
transcript.pyannote[233].end 2935.57221875
transcript.pyannote[234].speaker SPEAKER_20
transcript.pyannote[234].start 2936.19659375
transcript.pyannote[234].end 2951.02971875
transcript.pyannote[235].speaker SPEAKER_24
transcript.pyannote[235].start 2951.02971875
transcript.pyannote[235].end 2970.35159375
transcript.pyannote[236].speaker SPEAKER_20
transcript.pyannote[236].start 2969.33909375
transcript.pyannote[236].end 2979.19409375
transcript.pyannote[237].speaker SPEAKER_24
transcript.pyannote[237].start 2980.15596875
transcript.pyannote[237].end 2980.84784375
transcript.pyannote[238].speaker SPEAKER_20
transcript.pyannote[238].start 2980.91534375
transcript.pyannote[238].end 2985.58971875
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 2984.35784375
transcript.pyannote[239].end 2986.29846875
transcript.pyannote[240].speaker SPEAKER_20
transcript.pyannote[240].start 2985.87659375
transcript.pyannote[240].end 3049.25909375
transcript.pyannote[241].speaker SPEAKER_24
transcript.pyannote[241].start 3049.25909375
transcript.pyannote[241].end 3049.29284375
transcript.pyannote[242].speaker SPEAKER_20
transcript.pyannote[242].start 3049.29284375
transcript.pyannote[242].end 3050.38971875
transcript.pyannote[243].speaker SPEAKER_24
transcript.pyannote[243].start 3049.30971875
transcript.pyannote[243].end 3054.92909375
transcript.pyannote[244].speaker SPEAKER_20
transcript.pyannote[244].start 3054.92909375
transcript.pyannote[244].end 3076.22534375
transcript.pyannote[245].speaker SPEAKER_24
transcript.pyannote[245].start 3076.52909375
transcript.pyannote[245].end 3078.68909375
transcript.pyannote[246].speaker SPEAKER_20
transcript.pyannote[246].start 3078.68909375
transcript.pyannote[246].end 3082.75596875
transcript.pyannote[247].speaker SPEAKER_24
transcript.pyannote[247].start 3082.31721875
transcript.pyannote[247].end 3082.38471875
transcript.pyannote[248].speaker SPEAKER_27
transcript.pyannote[248].start 3082.38471875
transcript.pyannote[248].end 3082.40159375
transcript.pyannote[249].speaker SPEAKER_24
transcript.pyannote[249].start 3082.40159375
transcript.pyannote[249].end 3082.67159375
transcript.pyannote[250].speaker SPEAKER_24
transcript.pyannote[250].start 3082.75596875
transcript.pyannote[250].end 3083.22846875
transcript.pyannote[251].speaker SPEAKER_27
transcript.pyannote[251].start 3083.22846875
transcript.pyannote[251].end 3083.26221875
transcript.pyannote[252].speaker SPEAKER_20
transcript.pyannote[252].start 3083.26221875
transcript.pyannote[252].end 3111.88221875
transcript.pyannote[253].speaker SPEAKER_20
transcript.pyannote[253].start 3112.48971875
transcript.pyannote[253].end 3114.05909375
transcript.pyannote[254].speaker SPEAKER_24
transcript.pyannote[254].start 3114.48096875
transcript.pyannote[254].end 3116.97846875
transcript.pyannote[255].speaker SPEAKER_20
transcript.pyannote[255].start 3116.91096875
transcript.pyannote[255].end 3131.05221875
transcript.pyannote[256].speaker SPEAKER_24
transcript.pyannote[256].start 3131.05221875
transcript.pyannote[256].end 3135.35534375
transcript.pyannote[257].speaker SPEAKER_20
transcript.pyannote[257].start 3134.19096875
transcript.pyannote[257].end 3134.64659375
transcript.pyannote[258].speaker SPEAKER_20
transcript.pyannote[258].start 3135.06846875
transcript.pyannote[258].end 3207.66471875
transcript.pyannote[259].speaker SPEAKER_24
transcript.pyannote[259].start 3208.00221875
transcript.pyannote[259].end 3208.79534375
transcript.pyannote[260].speaker SPEAKER_22
transcript.pyannote[260].start 3210.90471875
transcript.pyannote[260].end 3217.43534375
transcript.pyannote[261].speaker SPEAKER_22
transcript.pyannote[261].start 3217.75596875
transcript.pyannote[261].end 3220.91159375
transcript.pyannote[262].speaker SPEAKER_29
transcript.pyannote[262].start 3222.16034375
transcript.pyannote[262].end 3222.19409375
transcript.pyannote[263].speaker SPEAKER_28
transcript.pyannote[263].start 3222.19409375
transcript.pyannote[263].end 3222.41346875
transcript.pyannote[264].speaker SPEAKER_29
transcript.pyannote[264].start 3222.41346875
transcript.pyannote[264].end 3222.46409375
transcript.pyannote[265].speaker SPEAKER_03
transcript.pyannote[265].start 3229.55159375
transcript.pyannote[265].end 3230.83409375
transcript.pyannote[266].speaker SPEAKER_22
transcript.pyannote[266].start 3231.52596875
transcript.pyannote[266].end 3232.36971875
transcript.pyannote[267].speaker SPEAKER_03
transcript.pyannote[267].start 3238.32659375
transcript.pyannote[267].end 3239.77784375
transcript.pyannote[268].speaker SPEAKER_03
transcript.pyannote[268].start 3240.43596875
transcript.pyannote[268].end 3241.11096875
transcript.pyannote[269].speaker SPEAKER_03
transcript.pyannote[269].start 3241.46534375
transcript.pyannote[269].end 3242.66346875
transcript.pyannote[270].speaker SPEAKER_03
transcript.pyannote[270].start 3243.23721875
transcript.pyannote[270].end 3270.57471875
transcript.pyannote[271].speaker SPEAKER_24
transcript.pyannote[271].start 3270.82784375
transcript.pyannote[271].end 3273.59534375
transcript.pyannote[272].speaker SPEAKER_24
transcript.pyannote[272].start 3274.77659375
transcript.pyannote[272].end 3274.79346875
transcript.pyannote[273].speaker SPEAKER_13
transcript.pyannote[273].start 3274.79346875
transcript.pyannote[273].end 3277.37534375
transcript.pyannote[274].speaker SPEAKER_13
transcript.pyannote[274].start 3277.45971875
transcript.pyannote[274].end 3285.52596875
transcript.pyannote[275].speaker SPEAKER_13
transcript.pyannote[275].start 3285.72846875
transcript.pyannote[275].end 3323.24159375
transcript.pyannote[276].speaker SPEAKER_03
transcript.pyannote[276].start 3323.24159375
transcript.pyannote[276].end 3323.29221875
transcript.pyannote[277].speaker SPEAKER_13
transcript.pyannote[277].start 3323.29221875
transcript.pyannote[277].end 3323.47784375
transcript.pyannote[278].speaker SPEAKER_03
transcript.pyannote[278].start 3323.47784375
transcript.pyannote[278].end 3323.57909375
transcript.pyannote[279].speaker SPEAKER_03
transcript.pyannote[279].start 3323.93346875
transcript.pyannote[279].end 3339.03659375
transcript.pyannote[280].speaker SPEAKER_13
transcript.pyannote[280].start 3325.58721875
transcript.pyannote[280].end 3325.99221875
transcript.pyannote[281].speaker SPEAKER_28
transcript.pyannote[281].start 3325.99221875
transcript.pyannote[281].end 3326.11034375
transcript.pyannote[282].speaker SPEAKER_28
transcript.pyannote[282].start 3339.28971875
transcript.pyannote[282].end 3339.42471875
transcript.pyannote[283].speaker SPEAKER_03
transcript.pyannote[283].start 3339.42471875
transcript.pyannote[283].end 3348.92534375
transcript.pyannote[284].speaker SPEAKER_03
transcript.pyannote[284].start 3350.61284375
transcript.pyannote[284].end 3357.97034375
transcript.pyannote[285].speaker SPEAKER_13
transcript.pyannote[285].start 3357.97034375
transcript.pyannote[285].end 3362.74596875
transcript.pyannote[286].speaker SPEAKER_13
transcript.pyannote[286].start 3362.93159375
transcript.pyannote[286].end 3367.18409375
transcript.pyannote[287].speaker SPEAKER_13
transcript.pyannote[287].start 3367.57221875
transcript.pyannote[287].end 3369.32721875
transcript.pyannote[288].speaker SPEAKER_13
transcript.pyannote[288].start 3369.54659375
transcript.pyannote[288].end 3374.45721875
transcript.pyannote[289].speaker SPEAKER_13
transcript.pyannote[289].start 3375.03096875
transcript.pyannote[289].end 3384.88596875
transcript.pyannote[290].speaker SPEAKER_28
transcript.pyannote[290].start 3384.75096875
transcript.pyannote[290].end 3385.08846875
transcript.pyannote[291].speaker SPEAKER_13
transcript.pyannote[291].start 3384.98721875
transcript.pyannote[291].end 3396.78284375
transcript.pyannote[292].speaker SPEAKER_13
transcript.pyannote[292].start 3396.83346875
transcript.pyannote[292].end 3423.96846875
transcript.pyannote[293].speaker SPEAKER_03
transcript.pyannote[293].start 3422.43284375
transcript.pyannote[293].end 3423.02346875
transcript.pyannote[294].speaker SPEAKER_03
transcript.pyannote[294].start 3423.58034375
transcript.pyannote[294].end 3423.90096875
transcript.pyannote[295].speaker SPEAKER_03
transcript.pyannote[295].start 3423.96846875
transcript.pyannote[295].end 3427.88346875
transcript.pyannote[296].speaker SPEAKER_13
transcript.pyannote[296].start 3426.21284375
transcript.pyannote[296].end 3426.83721875
transcript.pyannote[297].speaker SPEAKER_13
transcript.pyannote[297].start 3427.88346875
transcript.pyannote[297].end 3428.27159375
transcript.pyannote[298].speaker SPEAKER_03
transcript.pyannote[298].start 3427.91721875
transcript.pyannote[298].end 3428.18721875
transcript.pyannote[299].speaker SPEAKER_03
transcript.pyannote[299].start 3428.27159375
transcript.pyannote[299].end 3431.54534375
transcript.pyannote[300].speaker SPEAKER_13
transcript.pyannote[300].start 3429.03096875
transcript.pyannote[300].end 3441.80534375
transcript.pyannote[301].speaker SPEAKER_03
transcript.pyannote[301].start 3441.80534375
transcript.pyannote[301].end 3441.82221875
transcript.pyannote[302].speaker SPEAKER_03
transcript.pyannote[302].start 3442.21034375
transcript.pyannote[302].end 3446.81721875
transcript.pyannote[303].speaker SPEAKER_03
transcript.pyannote[303].start 3447.34034375
transcript.pyannote[303].end 3449.36534375
transcript.pyannote[304].speaker SPEAKER_28
transcript.pyannote[304].start 3449.36534375
transcript.pyannote[304].end 3449.78721875
transcript.pyannote[305].speaker SPEAKER_03
transcript.pyannote[305].start 3449.78721875
transcript.pyannote[305].end 3457.80284375
transcript.pyannote[306].speaker SPEAKER_03
transcript.pyannote[306].start 3458.51159375
transcript.pyannote[306].end 3510.58784375
transcript.pyannote[307].speaker SPEAKER_28
transcript.pyannote[307].start 3468.14721875
transcript.pyannote[307].end 3468.21471875
transcript.pyannote[308].speaker SPEAKER_13
transcript.pyannote[308].start 3468.21471875
transcript.pyannote[308].end 3468.26534375
transcript.pyannote[309].speaker SPEAKER_28
transcript.pyannote[309].start 3468.26534375
transcript.pyannote[309].end 3468.28221875
transcript.pyannote[310].speaker SPEAKER_13
transcript.pyannote[310].start 3468.28221875
transcript.pyannote[310].end 3468.61971875
transcript.pyannote[311].speaker SPEAKER_13
transcript.pyannote[311].start 3470.84721875
transcript.pyannote[311].end 3471.25221875
transcript.pyannote[312].speaker SPEAKER_13
transcript.pyannote[312].start 3475.31909375
transcript.pyannote[312].end 3477.17534375
transcript.pyannote[313].speaker SPEAKER_13
transcript.pyannote[313].start 3483.28409375
transcript.pyannote[313].end 3483.75659375
transcript.pyannote[314].speaker SPEAKER_13
transcript.pyannote[314].start 3485.20784375
transcript.pyannote[314].end 3486.16971875
transcript.pyannote[315].speaker SPEAKER_28
transcript.pyannote[315].start 3506.74034375
transcript.pyannote[315].end 3506.75721875
transcript.pyannote[316].speaker SPEAKER_24
transcript.pyannote[316].start 3506.75721875
transcript.pyannote[316].end 3507.85409375
transcript.pyannote[317].speaker SPEAKER_03
transcript.pyannote[317].start 3510.95909375
transcript.pyannote[317].end 3513.32159375
transcript.pyannote[318].speaker SPEAKER_03
transcript.pyannote[318].start 3513.87846875
transcript.pyannote[318].end 3514.45221875
transcript.pyannote[319].speaker SPEAKER_24
transcript.pyannote[319].start 3514.45221875
transcript.pyannote[319].end 3514.51971875
transcript.pyannote[320].speaker SPEAKER_03
transcript.pyannote[320].start 3515.51534375
transcript.pyannote[320].end 3515.53221875
transcript.pyannote[321].speaker SPEAKER_24
transcript.pyannote[321].start 3515.53221875
transcript.pyannote[321].end 3557.16284375
transcript.pyannote[322].speaker SPEAKER_03
transcript.pyannote[322].start 3557.16284375
transcript.pyannote[322].end 3566.64659375
transcript.pyannote[323].speaker SPEAKER_03
transcript.pyannote[323].start 3567.37221875
transcript.pyannote[323].end 3572.94096875
transcript.pyannote[324].speaker SPEAKER_24
transcript.pyannote[324].start 3572.94096875
transcript.pyannote[324].end 3574.08846875
transcript.pyannote[325].speaker SPEAKER_03
transcript.pyannote[325].start 3573.81846875
transcript.pyannote[325].end 3575.21909375
transcript.pyannote[326].speaker SPEAKER_03
transcript.pyannote[326].start 3575.65784375
transcript.pyannote[326].end 3578.94846875
transcript.pyannote[327].speaker SPEAKER_03
transcript.pyannote[327].start 3579.18471875
transcript.pyannote[327].end 3592.36409375
transcript.pyannote[328].speaker SPEAKER_24
transcript.pyannote[328].start 3592.36409375
transcript.pyannote[328].end 3621.65909375
transcript.pyannote[329].speaker SPEAKER_24
transcript.pyannote[329].start 3621.81096875
transcript.pyannote[329].end 3621.82784375
transcript.pyannote[330].speaker SPEAKER_03
transcript.pyannote[330].start 3621.82784375
transcript.pyannote[330].end 3622.90784375
transcript.pyannote[331].speaker SPEAKER_03
transcript.pyannote[331].start 3623.26221875
transcript.pyannote[331].end 3624.44346875
transcript.pyannote[332].speaker SPEAKER_03
transcript.pyannote[332].start 3625.08471875
transcript.pyannote[332].end 3625.89471875
transcript.pyannote[333].speaker SPEAKER_03
transcript.pyannote[333].start 3626.19846875
transcript.pyannote[333].end 3644.13659375
transcript.pyannote[334].speaker SPEAKER_00
transcript.pyannote[334].start 3631.90221875
transcript.pyannote[334].end 3631.98659375
transcript.pyannote[335].speaker SPEAKER_03
transcript.pyannote[335].start 3644.52471875
transcript.pyannote[335].end 3666.95159375
transcript.pyannote[336].speaker SPEAKER_03
transcript.pyannote[336].start 3666.96846875
transcript.pyannote[336].end 3687.70784375
transcript.pyannote[337].speaker SPEAKER_03
transcript.pyannote[337].start 3688.66971875
transcript.pyannote[337].end 3691.06596875
transcript.pyannote[338].speaker SPEAKER_03
transcript.pyannote[338].start 3691.31909375
transcript.pyannote[338].end 3697.47846875
transcript.pyannote[339].speaker SPEAKER_03
transcript.pyannote[339].start 3698.17034375
transcript.pyannote[339].end 3699.40221875
transcript.pyannote[340].speaker SPEAKER_24
transcript.pyannote[340].start 3698.35596875
transcript.pyannote[340].end 3698.55846875
transcript.pyannote[341].speaker SPEAKER_24
transcript.pyannote[341].start 3699.68909375
transcript.pyannote[341].end 3705.47721875
transcript.pyannote[342].speaker SPEAKER_24
transcript.pyannote[342].start 3705.66284375
transcript.pyannote[342].end 3709.84784375
transcript.pyannote[343].speaker SPEAKER_24
transcript.pyannote[343].start 3709.98284375
transcript.pyannote[343].end 3713.03721875
transcript.pyannote[344].speaker SPEAKER_03
transcript.pyannote[344].start 3713.03721875
transcript.pyannote[344].end 3714.06659375
transcript.pyannote[345].speaker SPEAKER_03
transcript.pyannote[345].start 3714.60659375
transcript.pyannote[345].end 3714.82596875
transcript.pyannote[346].speaker SPEAKER_12
transcript.pyannote[346].start 3715.58534375
transcript.pyannote[346].end 3756.96284375
transcript.pyannote[347].speaker SPEAKER_03
transcript.pyannote[347].start 3756.96284375
transcript.pyannote[347].end 3757.09784375
transcript.pyannote[348].speaker SPEAKER_12
transcript.pyannote[348].start 3757.78971875
transcript.pyannote[348].end 3757.80659375
transcript.pyannote[349].speaker SPEAKER_03
transcript.pyannote[349].start 3757.80659375
transcript.pyannote[349].end 3770.39534375
transcript.pyannote[350].speaker SPEAKER_03
transcript.pyannote[350].start 3770.80034375
transcript.pyannote[350].end 3781.78596875
transcript.pyannote[351].speaker SPEAKER_03
transcript.pyannote[351].start 3782.08971875
transcript.pyannote[351].end 3782.76471875
transcript.pyannote[352].speaker SPEAKER_03
transcript.pyannote[352].start 3782.96721875
transcript.pyannote[352].end 3784.55346875
transcript.pyannote[353].speaker SPEAKER_22
transcript.pyannote[353].start 3784.03034375
transcript.pyannote[353].end 3786.59534375
transcript.pyannote[354].speaker SPEAKER_22
transcript.pyannote[354].start 3788.45159375
transcript.pyannote[354].end 3794.00346875
transcript.pyannote[355].speaker SPEAKER_19
transcript.pyannote[355].start 3804.98909375
transcript.pyannote[355].end 3807.94221875
transcript.pyannote[356].speaker SPEAKER_22
transcript.pyannote[356].start 3808.21221875
transcript.pyannote[356].end 3809.03909375
transcript.pyannote[357].speaker SPEAKER_27
transcript.pyannote[357].start 3814.70909375
transcript.pyannote[357].end 3815.04659375
transcript.pyannote[358].speaker SPEAKER_19
transcript.pyannote[358].start 3814.84409375
transcript.pyannote[358].end 3843.98721875
transcript.pyannote[359].speaker SPEAKER_27
transcript.pyannote[359].start 3817.93221875
transcript.pyannote[359].end 3818.35409375
transcript.pyannote[360].speaker SPEAKER_19
transcript.pyannote[360].start 3844.51034375
transcript.pyannote[360].end 3853.08284375
transcript.pyannote[361].speaker SPEAKER_19
transcript.pyannote[361].start 3853.45409375
transcript.pyannote[361].end 3896.04659375
transcript.pyannote[362].speaker SPEAKER_19
transcript.pyannote[362].start 3896.33346875
transcript.pyannote[362].end 3898.18971875
transcript.pyannote[363].speaker SPEAKER_24
transcript.pyannote[363].start 3901.19346875
transcript.pyannote[363].end 3916.33034375
transcript.pyannote[364].speaker SPEAKER_19
transcript.pyannote[364].start 3916.26284375
transcript.pyannote[364].end 3922.42221875
transcript.pyannote[365].speaker SPEAKER_24
transcript.pyannote[365].start 3923.51909375
transcript.pyannote[365].end 3929.88096875
transcript.pyannote[366].speaker SPEAKER_19
transcript.pyannote[366].start 3929.93159375
transcript.pyannote[366].end 3936.14159375
transcript.pyannote[367].speaker SPEAKER_19
transcript.pyannote[367].start 3936.44534375
transcript.pyannote[367].end 3938.67284375
transcript.pyannote[368].speaker SPEAKER_19
transcript.pyannote[368].start 3939.93846875
transcript.pyannote[368].end 3956.15534375
transcript.pyannote[369].speaker SPEAKER_24
transcript.pyannote[369].start 3946.35096875
transcript.pyannote[369].end 3946.82346875
transcript.pyannote[370].speaker SPEAKER_19
transcript.pyannote[370].start 3956.66159375
transcript.pyannote[370].end 3964.84596875
transcript.pyannote[371].speaker SPEAKER_19
transcript.pyannote[371].start 3964.93034375
transcript.pyannote[371].end 3965.03159375
transcript.pyannote[372].speaker SPEAKER_19
transcript.pyannote[372].start 3965.08221875
transcript.pyannote[372].end 3967.59659375
transcript.pyannote[373].speaker SPEAKER_19
transcript.pyannote[373].start 3968.27159375
transcript.pyannote[373].end 3970.95471875
transcript.pyannote[374].speaker SPEAKER_19
transcript.pyannote[374].start 3972.84471875
transcript.pyannote[374].end 3973.03034375
transcript.pyannote[375].speaker SPEAKER_24
transcript.pyannote[375].start 3973.03034375
transcript.pyannote[375].end 3990.20909375
transcript.pyannote[376].speaker SPEAKER_19
transcript.pyannote[376].start 3988.84221875
transcript.pyannote[376].end 3994.86659375
transcript.pyannote[377].speaker SPEAKER_24
transcript.pyannote[377].start 3994.86659375
transcript.pyannote[377].end 3994.93409375
transcript.pyannote[378].speaker SPEAKER_19
transcript.pyannote[378].start 3994.93409375
transcript.pyannote[378].end 3994.96784375
transcript.pyannote[379].speaker SPEAKER_24
transcript.pyannote[379].start 3994.96784375
transcript.pyannote[379].end 3997.98846875
transcript.pyannote[380].speaker SPEAKER_19
transcript.pyannote[380].start 3997.98846875
transcript.pyannote[380].end 3998.62971875
transcript.pyannote[381].speaker SPEAKER_24
transcript.pyannote[381].start 3998.00534375
transcript.pyannote[381].end 3998.61284375
transcript.pyannote[382].speaker SPEAKER_24
transcript.pyannote[382].start 3998.62971875
transcript.pyannote[382].end 3998.68034375
transcript.pyannote[383].speaker SPEAKER_19
transcript.pyannote[383].start 3998.68034375
transcript.pyannote[383].end 3998.76471875
transcript.pyannote[384].speaker SPEAKER_19
transcript.pyannote[384].start 3998.91659375
transcript.pyannote[384].end 4039.45034375
transcript.pyannote[385].speaker SPEAKER_19
transcript.pyannote[385].start 4039.92284375
transcript.pyannote[385].end 4042.84221875
transcript.pyannote[386].speaker SPEAKER_24
transcript.pyannote[386].start 4043.60159375
transcript.pyannote[386].end 4052.81534375
transcript.pyannote[387].speaker SPEAKER_27
transcript.pyannote[387].start 4051.66784375
transcript.pyannote[387].end 4055.14409375
transcript.pyannote[388].speaker SPEAKER_24
transcript.pyannote[388].start 4054.60409375
transcript.pyannote[388].end 4065.75846875
transcript.pyannote[389].speaker SPEAKER_19
transcript.pyannote[389].start 4064.61096875
transcript.pyannote[389].end 4075.73159375
transcript.pyannote[390].speaker SPEAKER_24
transcript.pyannote[390].start 4075.73159375
transcript.pyannote[390].end 4076.03534375
transcript.pyannote[391].speaker SPEAKER_19
transcript.pyannote[391].start 4076.03534375
transcript.pyannote[391].end 4076.96346875
transcript.pyannote[392].speaker SPEAKER_24
transcript.pyannote[392].start 4076.96346875
transcript.pyannote[392].end 4077.03096875
transcript.pyannote[393].speaker SPEAKER_19
transcript.pyannote[393].start 4077.03096875
transcript.pyannote[393].end 4077.90846875
transcript.pyannote[394].speaker SPEAKER_24
transcript.pyannote[394].start 4077.90846875
transcript.pyannote[394].end 4094.04096875
transcript.pyannote[395].speaker SPEAKER_19
transcript.pyannote[395].start 4092.30284375
transcript.pyannote[395].end 4118.96534375
transcript.pyannote[396].speaker SPEAKER_24
transcript.pyannote[396].start 4118.96534375
transcript.pyannote[396].end 4124.12909375
transcript.pyannote[397].speaker SPEAKER_19
transcript.pyannote[397].start 4124.24721875
transcript.pyannote[397].end 4159.95471875
transcript.pyannote[398].speaker SPEAKER_24
transcript.pyannote[398].start 4127.70659375
transcript.pyannote[398].end 4129.46159375
transcript.pyannote[399].speaker SPEAKER_27
transcript.pyannote[399].start 4129.46159375
transcript.pyannote[399].end 4129.51221875
transcript.pyannote[400].speaker SPEAKER_27
transcript.pyannote[400].start 4134.69284375
transcript.pyannote[400].end 4137.02159375
transcript.pyannote[401].speaker SPEAKER_27
transcript.pyannote[401].start 4138.15221875
transcript.pyannote[401].end 4138.89471875
transcript.pyannote[402].speaker SPEAKER_20
transcript.pyannote[402].start 4146.38721875
transcript.pyannote[402].end 4150.52159375
transcript.pyannote[403].speaker SPEAKER_19
transcript.pyannote[403].start 4160.19096875
transcript.pyannote[403].end 4161.92909375
transcript.pyannote[404].speaker SPEAKER_24
transcript.pyannote[404].start 4162.04721875
transcript.pyannote[404].end 4168.61159375
transcript.pyannote[405].speaker SPEAKER_19
transcript.pyannote[405].start 4167.36284375
transcript.pyannote[405].end 4169.65784375
transcript.pyannote[406].speaker SPEAKER_19
transcript.pyannote[406].start 4169.82659375
transcript.pyannote[406].end 4174.95659375
transcript.pyannote[407].speaker SPEAKER_24
transcript.pyannote[407].start 4174.95659375
transcript.pyannote[407].end 4183.51221875
transcript.pyannote[408].speaker SPEAKER_19
transcript.pyannote[408].start 4177.62284375
transcript.pyannote[408].end 4180.94721875
transcript.pyannote[409].speaker SPEAKER_19
transcript.pyannote[409].start 4181.43659375
transcript.pyannote[409].end 4199.83034375
transcript.pyannote[410].speaker SPEAKER_24
transcript.pyannote[410].start 4197.61971875
transcript.pyannote[410].end 4201.48409375
transcript.pyannote[411].speaker SPEAKER_19
transcript.pyannote[411].start 4201.38284375
transcript.pyannote[411].end 4216.38471875
transcript.pyannote[412].speaker SPEAKER_19
transcript.pyannote[412].start 4216.65471875
transcript.pyannote[412].end 4217.83596875
transcript.pyannote[413].speaker SPEAKER_19
transcript.pyannote[413].start 4218.00471875
transcript.pyannote[413].end 4225.69971875
transcript.pyannote[414].speaker SPEAKER_19
transcript.pyannote[414].start 4226.00346875
transcript.pyannote[414].end 4232.38221875
transcript.pyannote[415].speaker SPEAKER_24
transcript.pyannote[415].start 4232.38221875
transcript.pyannote[415].end 4232.48346875
transcript.pyannote[416].speaker SPEAKER_24
transcript.pyannote[416].start 4232.56784375
transcript.pyannote[416].end 4255.19721875
transcript.pyannote[417].speaker SPEAKER_19
transcript.pyannote[417].start 4252.98659375
transcript.pyannote[417].end 4269.86159375
transcript.pyannote[418].speaker SPEAKER_24
transcript.pyannote[418].start 4269.86159375
transcript.pyannote[418].end 4269.91221875
transcript.pyannote[419].speaker SPEAKER_19
transcript.pyannote[419].start 4269.91221875
transcript.pyannote[419].end 4270.68846875
transcript.pyannote[420].speaker SPEAKER_19
transcript.pyannote[420].start 4271.07659375
transcript.pyannote[420].end 4271.78534375
transcript.pyannote[421].speaker SPEAKER_22
transcript.pyannote[421].start 4272.35909375
transcript.pyannote[421].end 4276.05471875
transcript.pyannote[422].speaker SPEAKER_22
transcript.pyannote[422].start 4277.01659375
transcript.pyannote[422].end 4288.45784375
transcript.pyannote[423].speaker SPEAKER_17
transcript.pyannote[423].start 4288.45784375
transcript.pyannote[423].end 4291.34346875
transcript.pyannote[424].speaker SPEAKER_22
transcript.pyannote[424].start 4288.49159375
transcript.pyannote[424].end 4288.79534375
transcript.pyannote[425].speaker SPEAKER_17
transcript.pyannote[425].start 4292.23784375
transcript.pyannote[425].end 4292.62596875
transcript.pyannote[426].speaker SPEAKER_22
transcript.pyannote[426].start 4292.62596875
transcript.pyannote[426].end 4292.92971875
transcript.pyannote[427].speaker SPEAKER_17
transcript.pyannote[427].start 4292.92971875
transcript.pyannote[427].end 4292.96346875
transcript.pyannote[428].speaker SPEAKER_22
transcript.pyannote[428].start 4292.96346875
transcript.pyannote[428].end 4293.21659375
transcript.pyannote[429].speaker SPEAKER_33
transcript.pyannote[429].start 4297.36784375
transcript.pyannote[429].end 4297.55346875
transcript.pyannote[430].speaker SPEAKER_33
transcript.pyannote[430].start 4298.44784375
transcript.pyannote[430].end 4298.46471875
transcript.pyannote[431].speaker SPEAKER_17
transcript.pyannote[431].start 4298.46471875
transcript.pyannote[431].end 4313.38221875
transcript.pyannote[432].speaker SPEAKER_33
transcript.pyannote[432].start 4298.61659375
transcript.pyannote[432].end 4299.32534375
transcript.pyannote[433].speaker SPEAKER_28
transcript.pyannote[433].start 4307.64471875
transcript.pyannote[433].end 4308.10034375
transcript.pyannote[434].speaker SPEAKER_17
transcript.pyannote[434].start 4313.82096875
transcript.pyannote[434].end 4315.30596875
transcript.pyannote[435].speaker SPEAKER_17
transcript.pyannote[435].start 4315.84596875
transcript.pyannote[435].end 4320.01409375
transcript.pyannote[436].speaker SPEAKER_17
transcript.pyannote[436].start 4320.55409375
transcript.pyannote[436].end 4324.09784375
transcript.pyannote[437].speaker SPEAKER_17
transcript.pyannote[437].start 4324.84034375
transcript.pyannote[437].end 4327.86096875
transcript.pyannote[438].speaker SPEAKER_17
transcript.pyannote[438].start 4328.23221875
transcript.pyannote[438].end 4333.98659375
transcript.pyannote[439].speaker SPEAKER_17
transcript.pyannote[439].start 4334.15534375
transcript.pyannote[439].end 4340.28096875
transcript.pyannote[440].speaker SPEAKER_24
transcript.pyannote[440].start 4339.87596875
transcript.pyannote[440].end 4371.01034375
transcript.pyannote[441].speaker SPEAKER_17
transcript.pyannote[441].start 4345.46159375
transcript.pyannote[441].end 4345.51221875
transcript.pyannote[442].speaker SPEAKER_17
transcript.pyannote[442].start 4367.02784375
transcript.pyannote[442].end 4367.65221875
transcript.pyannote[443].speaker SPEAKER_17
transcript.pyannote[443].start 4370.20034375
transcript.pyannote[443].end 4374.63846875
transcript.pyannote[444].speaker SPEAKER_17
transcript.pyannote[444].start 4375.26284375
transcript.pyannote[444].end 4377.01784375
transcript.pyannote[445].speaker SPEAKER_27
transcript.pyannote[445].start 4378.28346875
transcript.pyannote[445].end 4378.99221875
transcript.pyannote[446].speaker SPEAKER_17
transcript.pyannote[446].start 4378.41846875
transcript.pyannote[446].end 4388.17221875
transcript.pyannote[447].speaker SPEAKER_24
transcript.pyannote[447].start 4387.90221875
transcript.pyannote[447].end 4404.20346875
transcript.pyannote[448].speaker SPEAKER_17
transcript.pyannote[448].start 4393.55534375
transcript.pyannote[448].end 4394.82096875
transcript.pyannote[449].speaker SPEAKER_26
transcript.pyannote[449].start 4394.82096875
transcript.pyannote[449].end 4394.92221875
transcript.pyannote[450].speaker SPEAKER_17
transcript.pyannote[450].start 4404.00096875
transcript.pyannote[450].end 4410.58221875
transcript.pyannote[451].speaker SPEAKER_24
transcript.pyannote[451].start 4408.47284375
transcript.pyannote[451].end 4409.29971875
transcript.pyannote[452].speaker SPEAKER_24
transcript.pyannote[452].start 4409.92409375
transcript.pyannote[452].end 4414.00784375
transcript.pyannote[453].speaker SPEAKER_17
transcript.pyannote[453].start 4412.99534375
transcript.pyannote[453].end 4416.20159375
transcript.pyannote[454].speaker SPEAKER_17
transcript.pyannote[454].start 4416.40409375
transcript.pyannote[454].end 4421.19659375
transcript.pyannote[455].speaker SPEAKER_17
transcript.pyannote[455].start 4421.51721875
transcript.pyannote[455].end 4422.09096875
transcript.pyannote[456].speaker SPEAKER_17
transcript.pyannote[456].start 4423.05284375
transcript.pyannote[456].end 4426.91721875
transcript.pyannote[457].speaker SPEAKER_17
transcript.pyannote[457].start 4427.33909375
transcript.pyannote[457].end 4430.76471875
transcript.pyannote[458].speaker SPEAKER_17
transcript.pyannote[458].start 4431.05159375
transcript.pyannote[458].end 4433.59971875
transcript.pyannote[459].speaker SPEAKER_17
transcript.pyannote[459].start 4433.93721875
transcript.pyannote[459].end 4439.87721875
transcript.pyannote[460].speaker SPEAKER_17
transcript.pyannote[460].start 4440.07971875
transcript.pyannote[460].end 4444.14659375
transcript.pyannote[461].speaker SPEAKER_17
transcript.pyannote[461].start 4444.39971875
transcript.pyannote[461].end 4448.60159375
transcript.pyannote[462].speaker SPEAKER_17
transcript.pyannote[462].start 4448.98971875
transcript.pyannote[462].end 4450.12034375
transcript.pyannote[463].speaker SPEAKER_24
transcript.pyannote[463].start 4449.68159375
transcript.pyannote[463].end 4452.41534375
transcript.pyannote[464].speaker SPEAKER_17
transcript.pyannote[464].start 4451.79096875
transcript.pyannote[464].end 4460.29596875
transcript.pyannote[465].speaker SPEAKER_17
transcript.pyannote[465].start 4460.39721875
transcript.pyannote[465].end 4461.91596875
transcript.pyannote[466].speaker SPEAKER_24
transcript.pyannote[466].start 4460.48159375
transcript.pyannote[466].end 4461.08909375
transcript.pyannote[467].speaker SPEAKER_24
transcript.pyannote[467].start 4462.37159375
transcript.pyannote[467].end 4477.15409375
transcript.pyannote[468].speaker SPEAKER_27
transcript.pyannote[468].start 4475.02784375
transcript.pyannote[468].end 4475.97284375
transcript.pyannote[469].speaker SPEAKER_27
transcript.pyannote[469].start 4476.51284375
transcript.pyannote[469].end 4477.17096875
transcript.pyannote[470].speaker SPEAKER_24
transcript.pyannote[470].start 4477.17096875
transcript.pyannote[470].end 4478.41971875
transcript.pyannote[471].speaker SPEAKER_27
transcript.pyannote[471].start 4478.41971875
transcript.pyannote[471].end 4478.57159375
transcript.pyannote[472].speaker SPEAKER_24
transcript.pyannote[472].start 4478.57159375
transcript.pyannote[472].end 4478.97659375
transcript.pyannote[473].speaker SPEAKER_27
transcript.pyannote[473].start 4478.97659375
transcript.pyannote[473].end 4482.08159375
transcript.pyannote[474].speaker SPEAKER_17
transcript.pyannote[474].start 4481.82846875
transcript.pyannote[474].end 4487.07659375
transcript.pyannote[475].speaker SPEAKER_17
transcript.pyannote[475].start 4487.43096875
transcript.pyannote[475].end 4492.34159375
transcript.pyannote[476].speaker SPEAKER_17
transcript.pyannote[476].start 4492.96596875
transcript.pyannote[476].end 4498.02846875
transcript.pyannote[477].speaker SPEAKER_17
transcript.pyannote[477].start 4498.28159375
transcript.pyannote[477].end 4501.31909375
transcript.pyannote[478].speaker SPEAKER_17
transcript.pyannote[478].start 4501.57221875
transcript.pyannote[478].end 4503.71534375
transcript.pyannote[479].speaker SPEAKER_17
transcript.pyannote[479].start 4503.78284375
transcript.pyannote[479].end 4506.36471875
transcript.pyannote[480].speaker SPEAKER_17
transcript.pyannote[480].start 4506.49971875
transcript.pyannote[480].end 4508.35596875
transcript.pyannote[481].speaker SPEAKER_17
transcript.pyannote[481].start 4508.49096875
transcript.pyannote[481].end 4510.44846875
transcript.pyannote[482].speaker SPEAKER_17
transcript.pyannote[482].start 4510.83659375
transcript.pyannote[482].end 4512.32159375
transcript.pyannote[483].speaker SPEAKER_17
transcript.pyannote[483].start 4513.11471875
transcript.pyannote[483].end 4514.66721875
transcript.pyannote[484].speaker SPEAKER_17
transcript.pyannote[484].start 4515.07221875
transcript.pyannote[484].end 4516.33784375
transcript.pyannote[485].speaker SPEAKER_17
transcript.pyannote[485].start 4516.65846875
transcript.pyannote[485].end 4518.37971875
transcript.pyannote[486].speaker SPEAKER_17
transcript.pyannote[486].start 4518.83534375
transcript.pyannote[486].end 4519.99971875
transcript.pyannote[487].speaker SPEAKER_17
transcript.pyannote[487].start 4520.37096875
transcript.pyannote[487].end 4523.25659375
transcript.pyannote[488].speaker SPEAKER_17
transcript.pyannote[488].start 4523.72909375
transcript.pyannote[488].end 4524.57284375
transcript.pyannote[489].speaker SPEAKER_17
transcript.pyannote[489].start 4525.19721875
transcript.pyannote[489].end 4526.76659375
transcript.pyannote[490].speaker SPEAKER_17
transcript.pyannote[490].start 4527.77909375
transcript.pyannote[490].end 4529.04471875
transcript.pyannote[491].speaker SPEAKER_17
transcript.pyannote[491].start 4529.58471875
transcript.pyannote[491].end 4530.74909375
transcript.pyannote[492].speaker SPEAKER_17
transcript.pyannote[492].start 4531.54221875
transcript.pyannote[492].end 4533.22971875
transcript.pyannote[493].speaker SPEAKER_17
transcript.pyannote[493].start 4533.48284375
transcript.pyannote[493].end 4534.68096875
transcript.pyannote[494].speaker SPEAKER_17
transcript.pyannote[494].start 4535.33909375
transcript.pyannote[494].end 4537.46534375
transcript.pyannote[495].speaker SPEAKER_17
transcript.pyannote[495].start 4538.84909375
transcript.pyannote[495].end 4540.57034375
transcript.pyannote[496].speaker SPEAKER_17
transcript.pyannote[496].start 4540.78971875
transcript.pyannote[496].end 4543.03409375
transcript.pyannote[497].speaker SPEAKER_17
transcript.pyannote[497].start 4543.43909375
transcript.pyannote[497].end 4544.24909375
transcript.pyannote[498].speaker SPEAKER_17
transcript.pyannote[498].start 4544.77221875
transcript.pyannote[498].end 4545.91971875
transcript.pyannote[499].speaker SPEAKER_17
transcript.pyannote[499].start 4546.12221875
transcript.pyannote[499].end 4547.47221875
transcript.pyannote[500].speaker SPEAKER_17
transcript.pyannote[500].start 4547.59034375
transcript.pyannote[500].end 4549.12596875
transcript.pyannote[501].speaker SPEAKER_17
transcript.pyannote[501].start 4549.37909375
transcript.pyannote[501].end 4550.44221875
transcript.pyannote[502].speaker SPEAKER_17
transcript.pyannote[502].start 4550.69534375
transcript.pyannote[502].end 4552.07909375
transcript.pyannote[503].speaker SPEAKER_17
transcript.pyannote[503].start 4552.51784375
transcript.pyannote[503].end 4553.64846875
transcript.pyannote[504].speaker SPEAKER_17
transcript.pyannote[504].start 4554.81284375
transcript.pyannote[504].end 4556.92221875
transcript.pyannote[505].speaker SPEAKER_17
transcript.pyannote[505].start 4557.46221875
transcript.pyannote[505].end 4558.76159375
transcript.pyannote[506].speaker SPEAKER_17
transcript.pyannote[506].start 4559.16659375
transcript.pyannote[506].end 4560.16221875
transcript.pyannote[507].speaker SPEAKER_17
transcript.pyannote[507].start 4561.02284375
transcript.pyannote[507].end 4568.48159375
transcript.pyannote[508].speaker SPEAKER_17
transcript.pyannote[508].start 4569.34221875
transcript.pyannote[508].end 4571.35034375
transcript.pyannote[509].speaker SPEAKER_17
transcript.pyannote[509].start 4571.46846875
transcript.pyannote[509].end 4574.30346875
transcript.pyannote[510].speaker SPEAKER_24
transcript.pyannote[510].start 4575.21471875
transcript.pyannote[510].end 4577.54346875
transcript.pyannote[511].speaker SPEAKER_24
transcript.pyannote[511].start 4577.77971875
transcript.pyannote[511].end 4578.31971875
transcript.pyannote[512].speaker SPEAKER_24
transcript.pyannote[512].start 4579.12971875
transcript.pyannote[512].end 4582.55534375
transcript.pyannote[513].speaker SPEAKER_24
transcript.pyannote[513].start 4583.09534375
transcript.pyannote[513].end 4585.77846875
transcript.pyannote[514].speaker SPEAKER_28
transcript.pyannote[514].start 4586.01471875
transcript.pyannote[514].end 4586.45346875
transcript.pyannote[515].speaker SPEAKER_24
transcript.pyannote[515].start 4586.45346875
transcript.pyannote[515].end 4588.90034375
transcript.pyannote[516].speaker SPEAKER_24
transcript.pyannote[516].start 4589.01846875
transcript.pyannote[516].end 4593.92909375
transcript.pyannote[517].speaker SPEAKER_17
transcript.pyannote[517].start 4593.82784375
transcript.pyannote[517].end 4599.76784375
transcript.pyannote[518].speaker SPEAKER_24
transcript.pyannote[518].start 4594.19909375
transcript.pyannote[518].end 4595.29596875
transcript.pyannote[519].speaker SPEAKER_17
transcript.pyannote[519].start 4599.78471875
transcript.pyannote[519].end 4599.97034375
transcript.pyannote[520].speaker SPEAKER_28
transcript.pyannote[520].start 4599.88596875
transcript.pyannote[520].end 4600.03784375
transcript.pyannote[521].speaker SPEAKER_17
transcript.pyannote[521].start 4600.03784375
transcript.pyannote[521].end 4603.39596875
transcript.pyannote[522].speaker SPEAKER_28
transcript.pyannote[522].start 4600.05471875
transcript.pyannote[522].end 4600.71284375
transcript.pyannote[523].speaker SPEAKER_24
transcript.pyannote[523].start 4600.71284375
transcript.pyannote[523].end 4600.74659375
transcript.pyannote[524].speaker SPEAKER_17
transcript.pyannote[524].start 4603.96971875
transcript.pyannote[524].end 4607.34471875
transcript.pyannote[525].speaker SPEAKER_17
transcript.pyannote[525].start 4607.85096875
transcript.pyannote[525].end 4609.80846875
transcript.pyannote[526].speaker SPEAKER_28
transcript.pyannote[526].start 4610.29784375
transcript.pyannote[526].end 4611.36096875
transcript.pyannote[527].speaker SPEAKER_17
transcript.pyannote[527].start 4610.48346875
transcript.pyannote[527].end 4611.83346875
transcript.pyannote[528].speaker SPEAKER_17
transcript.pyannote[528].start 4611.96846875
transcript.pyannote[528].end 4613.80784375
transcript.pyannote[529].speaker SPEAKER_17
transcript.pyannote[529].start 4614.09471875
transcript.pyannote[529].end 4618.22909375
transcript.pyannote[530].speaker SPEAKER_17
transcript.pyannote[530].start 4618.58346875
transcript.pyannote[530].end 4624.32096875
transcript.pyannote[531].speaker SPEAKER_17
transcript.pyannote[531].start 4624.74284375
transcript.pyannote[531].end 4625.50221875
transcript.pyannote[532].speaker SPEAKER_17
transcript.pyannote[532].start 4626.07596875
transcript.pyannote[532].end 4626.71721875
transcript.pyannote[533].speaker SPEAKER_17
transcript.pyannote[533].start 4627.47659375
transcript.pyannote[533].end 4635.89721875
transcript.pyannote[534].speaker SPEAKER_24
transcript.pyannote[534].start 4632.55596875
transcript.pyannote[534].end 4632.58971875
transcript.pyannote[535].speaker SPEAKER_27
transcript.pyannote[535].start 4632.58971875
transcript.pyannote[535].end 4633.02846875
transcript.pyannote[536].speaker SPEAKER_24
transcript.pyannote[536].start 4633.02846875
transcript.pyannote[536].end 4636.09971875
transcript.pyannote[537].speaker SPEAKER_17
transcript.pyannote[537].start 4636.04909375
transcript.pyannote[537].end 4638.64784375
transcript.pyannote[538].speaker SPEAKER_24
transcript.pyannote[538].start 4636.13346875
transcript.pyannote[538].end 4637.88846875
transcript.pyannote[539].speaker SPEAKER_24
transcript.pyannote[539].start 4638.64784375
transcript.pyannote[539].end 4639.39034375
transcript.pyannote[540].speaker SPEAKER_24
transcript.pyannote[540].start 4640.01471875
transcript.pyannote[540].end 4664.24721875
transcript.pyannote[541].speaker SPEAKER_17
transcript.pyannote[541].start 4661.71596875
transcript.pyannote[541].end 4661.93534375
transcript.pyannote[542].speaker SPEAKER_17
transcript.pyannote[542].start 4663.45409375
transcript.pyannote[542].end 4665.15846875
transcript.pyannote[543].speaker SPEAKER_17
transcript.pyannote[543].start 4665.42846875
transcript.pyannote[543].end 4667.52096875
transcript.pyannote[544].speaker SPEAKER_17
transcript.pyannote[544].start 4668.16221875
transcript.pyannote[544].end 4669.22534375
transcript.pyannote[545].speaker SPEAKER_17
transcript.pyannote[545].start 4669.51221875
transcript.pyannote[545].end 4674.72659375
transcript.pyannote[546].speaker SPEAKER_17
transcript.pyannote[546].start 4675.35096875
transcript.pyannote[546].end 4677.25784375
transcript.pyannote[547].speaker SPEAKER_24
transcript.pyannote[547].start 4675.89096875
transcript.pyannote[547].end 4680.61596875
transcript.pyannote[548].speaker SPEAKER_17
transcript.pyannote[548].start 4678.40534375
transcript.pyannote[548].end 4678.86096875
transcript.pyannote[549].speaker SPEAKER_17
transcript.pyannote[549].start 4680.54846875
transcript.pyannote[549].end 4680.56534375
transcript.pyannote[550].speaker SPEAKER_17
transcript.pyannote[550].start 4680.61596875
transcript.pyannote[550].end 4680.90284375
transcript.pyannote[551].speaker SPEAKER_24
transcript.pyannote[551].start 4681.20659375
transcript.pyannote[551].end 4693.22159375
transcript.pyannote[552].speaker SPEAKER_17
transcript.pyannote[552].start 4691.01096875
transcript.pyannote[552].end 4696.71471875
transcript.pyannote[553].speaker SPEAKER_20
transcript.pyannote[553].start 4693.22159375
transcript.pyannote[553].end 4693.23846875
transcript.pyannote[554].speaker SPEAKER_17
transcript.pyannote[554].start 4697.05221875
transcript.pyannote[554].end 4722.44909375
transcript.pyannote[555].speaker SPEAKER_00
transcript.pyannote[555].start 4701.05159375
transcript.pyannote[555].end 4701.06846875
transcript.pyannote[556].speaker SPEAKER_28
transcript.pyannote[556].start 4701.06846875
transcript.pyannote[556].end 4701.10221875
transcript.pyannote[557].speaker SPEAKER_20
transcript.pyannote[557].start 4701.10221875
transcript.pyannote[557].end 4701.65909375
transcript.pyannote[558].speaker SPEAKER_28
transcript.pyannote[558].start 4701.65909375
transcript.pyannote[558].end 4701.67596875
transcript.pyannote[559].speaker SPEAKER_28
transcript.pyannote[559].start 4704.57846875
transcript.pyannote[559].end 4705.05096875
transcript.pyannote[560].speaker SPEAKER_27
transcript.pyannote[560].start 4715.54721875
transcript.pyannote[560].end 4716.76221875
transcript.pyannote[561].speaker SPEAKER_27
transcript.pyannote[561].start 4721.47034375
transcript.pyannote[561].end 4722.33096875
transcript.pyannote[562].speaker SPEAKER_24
transcript.pyannote[562].start 4722.33096875
transcript.pyannote[562].end 4722.34784375
transcript.pyannote[563].speaker SPEAKER_17
transcript.pyannote[563].start 4722.76971875
transcript.pyannote[563].end 4725.38534375
transcript.pyannote[564].speaker SPEAKER_24
transcript.pyannote[564].start 4725.35159375
transcript.pyannote[564].end 4739.77971875
transcript.pyannote[565].speaker SPEAKER_17
transcript.pyannote[565].start 4726.04346875
transcript.pyannote[565].end 4726.58346875
transcript.pyannote[566].speaker SPEAKER_17
transcript.pyannote[566].start 4729.03034375
transcript.pyannote[566].end 4729.53659375
transcript.pyannote[567].speaker SPEAKER_34
transcript.pyannote[567].start 4736.42159375
transcript.pyannote[567].end 4736.43846875
transcript.pyannote[568].speaker SPEAKER_17
transcript.pyannote[568].start 4736.43846875
transcript.pyannote[568].end 4740.55596875
transcript.pyannote[569].speaker SPEAKER_17
transcript.pyannote[569].start 4740.97784375
transcript.pyannote[569].end 4741.99034375
transcript.pyannote[570].speaker SPEAKER_17
transcript.pyannote[570].start 4742.47971875
transcript.pyannote[570].end 4744.35284375
transcript.pyannote[571].speaker SPEAKER_13
transcript.pyannote[571].start 4743.98159375
transcript.pyannote[571].end 4744.31909375
transcript.pyannote[572].speaker SPEAKER_13
transcript.pyannote[572].start 4744.35284375
transcript.pyannote[572].end 4744.67346875
transcript.pyannote[573].speaker SPEAKER_17
transcript.pyannote[573].start 4744.67346875
transcript.pyannote[573].end 4744.89284375
transcript.pyannote[574].speaker SPEAKER_13
transcript.pyannote[574].start 4744.74096875
transcript.pyannote[574].end 4744.77471875
transcript.pyannote[575].speaker SPEAKER_13
transcript.pyannote[575].start 4744.89284375
transcript.pyannote[575].end 4745.11221875
transcript.pyannote[576].speaker SPEAKER_17
transcript.pyannote[576].start 4745.26409375
transcript.pyannote[576].end 4747.03596875
transcript.pyannote[577].speaker SPEAKER_17
transcript.pyannote[577].start 4747.40721875
transcript.pyannote[577].end 4748.65596875
transcript.pyannote[578].speaker SPEAKER_17
transcript.pyannote[578].start 4749.44909375
transcript.pyannote[578].end 4749.93846875
transcript.pyannote[579].speaker SPEAKER_13
transcript.pyannote[579].start 4750.59659375
transcript.pyannote[579].end 4751.45721875
transcript.pyannote[580].speaker SPEAKER_17
transcript.pyannote[580].start 4751.45721875
transcript.pyannote[580].end 4756.24971875
transcript.pyannote[581].speaker SPEAKER_17
transcript.pyannote[581].start 4756.60409375
transcript.pyannote[581].end 4757.51534375
transcript.pyannote[582].speaker SPEAKER_17
transcript.pyannote[582].start 4758.71346875
transcript.pyannote[582].end 4761.81846875
transcript.pyannote[583].speaker SPEAKER_17
transcript.pyannote[583].start 4761.93659375
transcript.pyannote[583].end 4764.73784375
transcript.pyannote[584].speaker SPEAKER_17
transcript.pyannote[584].start 4765.07534375
transcript.pyannote[584].end 4766.37471875
transcript.pyannote[585].speaker SPEAKER_17
transcript.pyannote[585].start 4766.62784375
transcript.pyannote[585].end 4772.31471875
transcript.pyannote[586].speaker SPEAKER_17
transcript.pyannote[586].start 4772.92221875
transcript.pyannote[586].end 4774.32284375
transcript.pyannote[587].speaker SPEAKER_17
transcript.pyannote[587].start 4774.76159375
transcript.pyannote[587].end 4775.35221875
transcript.pyannote[588].speaker SPEAKER_17
transcript.pyannote[588].start 4775.65596875
transcript.pyannote[588].end 4778.27159375
transcript.pyannote[589].speaker SPEAKER_17
transcript.pyannote[589].start 4778.86221875
transcript.pyannote[589].end 4794.04971875
transcript.pyannote[590].speaker SPEAKER_17
transcript.pyannote[590].start 4794.10034375
transcript.pyannote[590].end 4799.34846875
transcript.pyannote[591].speaker SPEAKER_17
transcript.pyannote[591].start 4799.60159375
transcript.pyannote[591].end 4811.86971875
transcript.pyannote[592].speaker SPEAKER_17
transcript.pyannote[592].start 4812.56159375
transcript.pyannote[592].end 4820.96534375
transcript.pyannote[593].speaker SPEAKER_19
transcript.pyannote[593].start 4820.96534375
transcript.pyannote[593].end 4820.98221875
transcript.pyannote[594].speaker SPEAKER_19
transcript.pyannote[594].start 4821.53909375
transcript.pyannote[594].end 4824.50909375
transcript.pyannote[595].speaker SPEAKER_19
transcript.pyannote[595].start 4824.76221875
transcript.pyannote[595].end 4828.60971875
transcript.pyannote[596].speaker SPEAKER_19
transcript.pyannote[596].start 4835.24159375
transcript.pyannote[596].end 4837.53659375
transcript.pyannote[597].speaker SPEAKER_19
transcript.pyannote[597].start 4837.72221875
transcript.pyannote[597].end 4839.64596875
transcript.pyannote[598].speaker SPEAKER_22
transcript.pyannote[598].start 4842.19409375
transcript.pyannote[598].end 4843.22346875
transcript.pyannote[599].speaker SPEAKER_22
transcript.pyannote[599].start 4843.91534375
transcript.pyannote[599].end 4851.76221875
transcript.pyannote[600].speaker SPEAKER_19
transcript.pyannote[600].start 4844.67471875
transcript.pyannote[600].end 4845.41721875
transcript.pyannote[601].speaker SPEAKER_22
transcript.pyannote[601].start 4852.13346875
transcript.pyannote[601].end 4855.13721875
transcript.pyannote[602].speaker SPEAKER_22
transcript.pyannote[602].start 4855.33971875
transcript.pyannote[602].end 4858.93409375
transcript.pyannote[603].speaker SPEAKER_22
transcript.pyannote[603].start 4859.33909375
transcript.pyannote[603].end 4875.77534375
transcript.pyannote[604].speaker SPEAKER_24
transcript.pyannote[604].start 4876.72034375
transcript.pyannote[604].end 4877.80034375
transcript.pyannote[605].speaker SPEAKER_22
transcript.pyannote[605].start 4877.59784375
transcript.pyannote[605].end 4881.63096875
transcript.pyannote[606].speaker SPEAKER_22
transcript.pyannote[606].start 4881.85034375
transcript.pyannote[606].end 4886.94659375
transcript.pyannote[607].speaker SPEAKER_28
transcript.pyannote[607].start 4886.94659375
transcript.pyannote[607].end 4887.35159375
transcript.pyannote[608].speaker SPEAKER_22
transcript.pyannote[608].start 4887.11534375
transcript.pyannote[608].end 4924.34159375
transcript.pyannote[609].speaker SPEAKER_22
transcript.pyannote[609].start 4924.45971875
transcript.pyannote[609].end 4943.12346875
transcript.pyannote[610].speaker SPEAKER_24
transcript.pyannote[610].start 4944.01784375
transcript.pyannote[610].end 4944.70971875
transcript.pyannote[611].speaker SPEAKER_24
transcript.pyannote[611].start 4944.91221875
transcript.pyannote[611].end 4954.81784375
transcript.pyannote[612].speaker SPEAKER_22
transcript.pyannote[612].start 4954.73346875
transcript.pyannote[612].end 4975.96221875
transcript.pyannote[613].speaker SPEAKER_24
transcript.pyannote[613].start 4958.29409375
transcript.pyannote[613].end 4958.64846875
transcript.pyannote[614].speaker SPEAKER_22
transcript.pyannote[614].start 4976.35034375
transcript.pyannote[614].end 5008.96971875
transcript.pyannote[615].speaker SPEAKER_16
transcript.pyannote[615].start 5008.96971875
transcript.pyannote[615].end 5018.03159375
transcript.pyannote[616].speaker SPEAKER_22
transcript.pyannote[616].start 5018.03159375
transcript.pyannote[616].end 5024.32596875
transcript.pyannote[617].speaker SPEAKER_24
transcript.pyannote[617].start 5026.35096875
transcript.pyannote[617].end 5028.98346875
transcript.pyannote[618].speaker SPEAKER_22
transcript.pyannote[618].start 5028.81471875
transcript.pyannote[618].end 5030.29971875
transcript.pyannote[619].speaker SPEAKER_24
transcript.pyannote[619].start 5030.68784375
transcript.pyannote[619].end 5033.92784375
transcript.pyannote[620].speaker SPEAKER_24
transcript.pyannote[620].start 5034.07971875
transcript.pyannote[620].end 5058.91971875
transcript.pyannote[621].speaker SPEAKER_28
transcript.pyannote[621].start 5057.35034375
transcript.pyannote[621].end 5058.53159375
transcript.pyannote[622].speaker SPEAKER_24
transcript.pyannote[622].start 5059.17284375
transcript.pyannote[622].end 5061.09659375
transcript.pyannote[623].speaker SPEAKER_28
transcript.pyannote[623].start 5060.99534375
transcript.pyannote[623].end 5061.31596875
transcript.pyannote[624].speaker SPEAKER_24
transcript.pyannote[624].start 5061.28221875
transcript.pyannote[624].end 5070.63096875
transcript.pyannote[625].speaker SPEAKER_28
transcript.pyannote[625].start 5062.37909375
transcript.pyannote[625].end 5062.73346875
transcript.pyannote[626].speaker SPEAKER_28
transcript.pyannote[626].start 5063.59409375
transcript.pyannote[626].end 5064.04971875
transcript.pyannote[627].speaker SPEAKER_22
transcript.pyannote[627].start 5070.32721875
transcript.pyannote[627].end 5079.97971875
transcript.pyannote[628].speaker SPEAKER_24
transcript.pyannote[628].start 5078.61284375
transcript.pyannote[628].end 5079.03471875
transcript.pyannote[629].speaker SPEAKER_24
transcript.pyannote[629].start 5079.47346875
transcript.pyannote[629].end 5084.78909375
transcript.pyannote[630].speaker SPEAKER_22
transcript.pyannote[630].start 5082.39284375
transcript.pyannote[630].end 5132.78159375
transcript.pyannote[631].speaker SPEAKER_24
transcript.pyannote[631].start 5085.27846875
transcript.pyannote[631].end 5085.98721875
transcript.pyannote[632].speaker SPEAKER_22
transcript.pyannote[632].start 5134.70534375
transcript.pyannote[632].end 5135.58284375
transcript.pyannote[633].speaker SPEAKER_24
transcript.pyannote[633].start 5136.56159375
transcript.pyannote[633].end 5155.81596875
transcript.pyannote[634].speaker SPEAKER_22
transcript.pyannote[634].start 5141.67471875
transcript.pyannote[634].end 5143.12596875
transcript.pyannote[635].speaker SPEAKER_00
transcript.pyannote[635].start 5145.84284375
transcript.pyannote[635].end 5146.02846875
transcript.pyannote[636].speaker SPEAKER_28
transcript.pyannote[636].start 5146.02846875
transcript.pyannote[636].end 5146.33221875
transcript.pyannote[637].speaker SPEAKER_00
transcript.pyannote[637].start 5146.33221875
transcript.pyannote[637].end 5146.34909375
transcript.pyannote[638].speaker SPEAKER_00
transcript.pyannote[638].start 5148.64409375
transcript.pyannote[638].end 5148.67784375
transcript.pyannote[639].speaker SPEAKER_28
transcript.pyannote[639].start 5148.67784375
transcript.pyannote[639].end 5148.69471875
transcript.pyannote[640].speaker SPEAKER_22
transcript.pyannote[640].start 5148.69471875
transcript.pyannote[640].end 5150.16284375
transcript.pyannote[641].speaker SPEAKER_22
transcript.pyannote[641].start 5152.52534375
transcript.pyannote[641].end 5153.26784375
transcript.pyannote[642].speaker SPEAKER_22
transcript.pyannote[642].start 5155.02284375
transcript.pyannote[642].end 5157.25034375
transcript.pyannote[643].speaker SPEAKER_24
transcript.pyannote[643].start 5157.04784375
transcript.pyannote[643].end 5160.79409375
transcript.pyannote[644].speaker SPEAKER_22
transcript.pyannote[644].start 5160.79409375
transcript.pyannote[644].end 5163.73034375
transcript.pyannote[645].speaker SPEAKER_24
transcript.pyannote[645].start 5163.69659375
transcript.pyannote[645].end 5164.96221875
transcript.pyannote[646].speaker SPEAKER_22
transcript.pyannote[646].start 5163.93284375
transcript.pyannote[646].end 5164.50659375
transcript.pyannote[647].speaker SPEAKER_22
transcript.pyannote[647].start 5164.96221875
transcript.pyannote[647].end 5196.53534375
transcript.pyannote[648].speaker SPEAKER_24
transcript.pyannote[648].start 5196.61971875
transcript.pyannote[648].end 5238.63846875
transcript.pyannote[649].speaker SPEAKER_26
transcript.pyannote[649].start 5219.23221875
transcript.pyannote[649].end 5219.36721875
transcript.pyannote[650].speaker SPEAKER_14
transcript.pyannote[650].start 5219.36721875
transcript.pyannote[650].end 5219.63721875
transcript.pyannote[651].speaker SPEAKER_25
transcript.pyannote[651].start 5225.84721875
transcript.pyannote[651].end 5225.94846875
transcript.pyannote[652].speaker SPEAKER_25
transcript.pyannote[652].start 5229.03659375
transcript.pyannote[652].end 5229.89721875
transcript.pyannote[653].speaker SPEAKER_24
transcript.pyannote[653].start 5238.72284375
transcript.pyannote[653].end 5238.73971875
transcript.pyannote[654].speaker SPEAKER_24
transcript.pyannote[654].start 5239.09409375
transcript.pyannote[654].end 5246.63721875
transcript.pyannote[655].speaker SPEAKER_22
transcript.pyannote[655].start 5246.82284375
transcript.pyannote[655].end 5288.80784375
transcript.pyannote[656].speaker SPEAKER_00
transcript.pyannote[656].start 5259.98534375
transcript.pyannote[656].end 5260.45784375
transcript.pyannote[657].speaker SPEAKER_23
transcript.pyannote[657].start 5280.40409375
transcript.pyannote[657].end 5280.42096875
transcript.pyannote[658].speaker SPEAKER_27
transcript.pyannote[658].start 5280.42096875
transcript.pyannote[658].end 5281.55159375
transcript.pyannote[659].speaker SPEAKER_24
transcript.pyannote[659].start 5288.65596875
transcript.pyannote[659].end 5297.39721875
transcript.pyannote[660].speaker SPEAKER_22
transcript.pyannote[660].start 5296.46909375
transcript.pyannote[660].end 5352.84846875
transcript.pyannote[661].speaker SPEAKER_24
transcript.pyannote[661].start 5303.43846875
transcript.pyannote[661].end 5303.47221875
transcript.pyannote[662].speaker SPEAKER_28
transcript.pyannote[662].start 5303.47221875
transcript.pyannote[662].end 5303.89409375
transcript.pyannote[663].speaker SPEAKER_24
transcript.pyannote[663].start 5353.67534375
transcript.pyannote[663].end 5368.94721875
transcript.pyannote[664].speaker SPEAKER_22
transcript.pyannote[664].start 5359.86846875
transcript.pyannote[664].end 5360.96534375
transcript.pyannote[665].speaker SPEAKER_16
transcript.pyannote[665].start 5360.96534375
transcript.pyannote[665].end 5361.03284375
transcript.pyannote[666].speaker SPEAKER_22
transcript.pyannote[666].start 5361.03284375
transcript.pyannote[666].end 5361.64034375
transcript.pyannote[667].speaker SPEAKER_16
transcript.pyannote[667].start 5361.64034375
transcript.pyannote[667].end 5361.67409375
transcript.pyannote[668].speaker SPEAKER_16
transcript.pyannote[668].start 5362.82159375
transcript.pyannote[668].end 5362.85534375
transcript.pyannote[669].speaker SPEAKER_22
transcript.pyannote[669].start 5367.32721875
transcript.pyannote[669].end 5367.61409375
transcript.pyannote[670].speaker SPEAKER_22
transcript.pyannote[670].start 5368.84596875
transcript.pyannote[670].end 5397.34784375
transcript.pyannote[671].speaker SPEAKER_22
transcript.pyannote[671].start 5398.22534375
transcript.pyannote[671].end 5420.80409375
transcript.pyannote[672].speaker SPEAKER_00
transcript.pyannote[672].start 5398.49534375
transcript.pyannote[672].end 5398.57971875
transcript.pyannote[673].speaker SPEAKER_00
transcript.pyannote[673].start 5398.68096875
transcript.pyannote[673].end 5398.71471875
transcript.pyannote[674].speaker SPEAKER_27
transcript.pyannote[674].start 5398.71471875
transcript.pyannote[674].end 5399.79471875
transcript.pyannote[675].speaker SPEAKER_00
transcript.pyannote[675].start 5399.79471875
transcript.pyannote[675].end 5400.70596875
transcript.pyannote[676].speaker SPEAKER_27
transcript.pyannote[676].start 5420.80409375
transcript.pyannote[676].end 5421.37784375
transcript.pyannote[677].speaker SPEAKER_22
transcript.pyannote[677].start 5421.34409375
transcript.pyannote[677].end 5475.41159375
transcript.pyannote[678].speaker SPEAKER_24
transcript.pyannote[678].start 5474.31471875
transcript.pyannote[678].end 5482.44846875
transcript.pyannote[679].speaker SPEAKER_22
transcript.pyannote[679].start 5475.56346875
transcript.pyannote[679].end 5475.58034375
transcript.pyannote[680].speaker SPEAKER_22
transcript.pyannote[680].start 5478.22971875
transcript.pyannote[680].end 5478.56721875
transcript.pyannote[681].speaker SPEAKER_22
transcript.pyannote[681].start 5481.63846875
transcript.pyannote[681].end 5495.57721875
transcript.pyannote[682].speaker SPEAKER_24
transcript.pyannote[682].start 5483.73096875
transcript.pyannote[682].end 5484.05159375
transcript.pyannote[683].speaker SPEAKER_28
transcript.pyannote[683].start 5495.57721875
transcript.pyannote[683].end 5495.83034375
transcript.pyannote[684].speaker SPEAKER_22
transcript.pyannote[684].start 5495.83034375
transcript.pyannote[684].end 5507.03534375
transcript.pyannote[685].speaker SPEAKER_28
transcript.pyannote[685].start 5495.91471875
transcript.pyannote[685].end 5495.96534375
transcript.pyannote[686].speaker SPEAKER_28
transcript.pyannote[686].start 5496.77534375
transcript.pyannote[686].end 5496.79221875
transcript.pyannote[687].speaker SPEAKER_19
transcript.pyannote[687].start 5503.59284375
transcript.pyannote[687].end 5503.60971875
transcript.pyannote[688].speaker SPEAKER_18
transcript.pyannote[688].start 5503.60971875
transcript.pyannote[688].end 5504.40284375
transcript.pyannote[689].speaker SPEAKER_19
transcript.pyannote[689].start 5504.40284375
transcript.pyannote[689].end 5504.47034375
transcript.pyannote[690].speaker SPEAKER_19
transcript.pyannote[690].start 5507.03534375
transcript.pyannote[690].end 5507.15346875
transcript.pyannote[691].speaker SPEAKER_22
transcript.pyannote[691].start 5507.15346875
transcript.pyannote[691].end 5508.85784375
transcript.pyannote[692].speaker SPEAKER_19
transcript.pyannote[692].start 5507.20409375
transcript.pyannote[692].end 5508.84096875
transcript.pyannote[693].speaker SPEAKER_19
transcript.pyannote[693].start 5508.85784375
transcript.pyannote[693].end 5514.91596875
transcript.pyannote[694].speaker SPEAKER_22
transcript.pyannote[694].start 5520.72096875
transcript.pyannote[694].end 5520.87284375
transcript.pyannote[695].speaker SPEAKER_22
transcript.pyannote[695].start 5520.97409375
transcript.pyannote[695].end 5521.02471875
transcript.pyannote[696].speaker SPEAKER_26
transcript.pyannote[696].start 5529.34409375
transcript.pyannote[696].end 5531.70659375
transcript.pyannote[697].speaker SPEAKER_22
transcript.pyannote[697].start 5531.84159375
transcript.pyannote[697].end 5533.30971875
transcript.pyannote[698].speaker SPEAKER_26
transcript.pyannote[698].start 5539.24971875
transcript.pyannote[698].end 5540.14409375
transcript.pyannote[699].speaker SPEAKER_26
transcript.pyannote[699].start 5540.65034375
transcript.pyannote[699].end 5541.34221875
transcript.pyannote[700].speaker SPEAKER_26
transcript.pyannote[700].start 5542.06784375
transcript.pyannote[700].end 5544.83534375
transcript.pyannote[701].speaker SPEAKER_28
transcript.pyannote[701].start 5544.83534375
transcript.pyannote[701].end 5545.29096875
transcript.pyannote[702].speaker SPEAKER_26
transcript.pyannote[702].start 5545.39221875
transcript.pyannote[702].end 5558.58846875
transcript.pyannote[703].speaker SPEAKER_26
transcript.pyannote[703].start 5559.12846875
transcript.pyannote[703].end 5559.53346875
transcript.pyannote[704].speaker SPEAKER_26
transcript.pyannote[704].start 5559.78659375
transcript.pyannote[704].end 5562.75659375
transcript.pyannote[705].speaker SPEAKER_26
transcript.pyannote[705].start 5563.11096875
transcript.pyannote[705].end 5568.03846875
transcript.pyannote[706].speaker SPEAKER_26
transcript.pyannote[706].start 5568.64596875
transcript.pyannote[706].end 5568.91596875
transcript.pyannote[707].speaker SPEAKER_26
transcript.pyannote[707].start 5569.38846875
transcript.pyannote[707].end 5569.87784375
transcript.pyannote[708].speaker SPEAKER_26
transcript.pyannote[708].start 5569.89471875
transcript.pyannote[708].end 5573.94471875
transcript.pyannote[709].speaker SPEAKER_26
transcript.pyannote[709].start 5574.94034375
transcript.pyannote[709].end 5580.71159375
transcript.pyannote[710].speaker SPEAKER_26
transcript.pyannote[710].start 5580.86346875
transcript.pyannote[710].end 5585.48721875
transcript.pyannote[711].speaker SPEAKER_26
transcript.pyannote[711].start 5585.97659375
transcript.pyannote[711].end 5586.85409375
transcript.pyannote[712].speaker SPEAKER_26
transcript.pyannote[712].start 5586.98909375
transcript.pyannote[712].end 5591.57909375
transcript.pyannote[713].speaker SPEAKER_26
transcript.pyannote[713].start 5592.33846875
transcript.pyannote[713].end 5594.38034375
transcript.pyannote[714].speaker SPEAKER_26
transcript.pyannote[714].start 5594.88659375
transcript.pyannote[714].end 5598.59909375
transcript.pyannote[715].speaker SPEAKER_24
transcript.pyannote[715].start 5600.08409375
transcript.pyannote[715].end 5607.88034375
transcript.pyannote[716].speaker SPEAKER_26
transcript.pyannote[716].start 5607.88034375
transcript.pyannote[716].end 5607.89721875
transcript.pyannote[717].speaker SPEAKER_24
transcript.pyannote[717].start 5608.40346875
transcript.pyannote[717].end 5608.97721875
transcript.pyannote[718].speaker SPEAKER_26
transcript.pyannote[718].start 5608.97721875
transcript.pyannote[718].end 5633.02409375
transcript.pyannote[719].speaker SPEAKER_24
transcript.pyannote[719].start 5625.05909375
transcript.pyannote[719].end 5625.49784375
transcript.pyannote[720].speaker SPEAKER_24
transcript.pyannote[720].start 5633.02409375
transcript.pyannote[720].end 5652.24471875
transcript.pyannote[721].speaker SPEAKER_26
transcript.pyannote[721].start 5650.74284375
transcript.pyannote[721].end 5652.02534375
transcript.pyannote[722].speaker SPEAKER_26
transcript.pyannote[722].start 5652.24471875
transcript.pyannote[722].end 5653.91534375
transcript.pyannote[723].speaker SPEAKER_24
transcript.pyannote[723].start 5654.48909375
transcript.pyannote[723].end 5662.97721875
transcript.pyannote[724].speaker SPEAKER_26
transcript.pyannote[724].start 5654.55659375
transcript.pyannote[724].end 5655.40034375
transcript.pyannote[725].speaker SPEAKER_26
transcript.pyannote[725].start 5662.97721875
transcript.pyannote[725].end 5665.93034375
transcript.pyannote[726].speaker SPEAKER_26
transcript.pyannote[726].start 5666.50409375
transcript.pyannote[726].end 5669.37284375
transcript.pyannote[727].speaker SPEAKER_26
transcript.pyannote[727].start 5669.62596875
transcript.pyannote[727].end 5675.85284375
transcript.pyannote[728].speaker SPEAKER_26
transcript.pyannote[728].start 5676.54471875
transcript.pyannote[728].end 5680.98284375
transcript.pyannote[729].speaker SPEAKER_24
transcript.pyannote[729].start 5680.98284375
transcript.pyannote[729].end 5681.01659375
transcript.pyannote[730].speaker SPEAKER_26
transcript.pyannote[730].start 5681.74221875
transcript.pyannote[730].end 5684.22284375
transcript.pyannote[731].speaker SPEAKER_24
transcript.pyannote[731].start 5686.38284375
transcript.pyannote[731].end 5686.39971875
transcript.pyannote[732].speaker SPEAKER_26
transcript.pyannote[732].start 5686.39971875
transcript.pyannote[732].end 5689.65659375
transcript.pyannote[733].speaker SPEAKER_26
transcript.pyannote[733].start 5689.77471875
transcript.pyannote[733].end 5690.66909375
transcript.pyannote[734].speaker SPEAKER_26
transcript.pyannote[734].start 5690.88846875
transcript.pyannote[734].end 5692.81221875
transcript.pyannote[735].speaker SPEAKER_24
transcript.pyannote[735].start 5692.81221875
transcript.pyannote[735].end 5692.82909375
transcript.pyannote[736].speaker SPEAKER_26
transcript.pyannote[736].start 5694.38159375
transcript.pyannote[736].end 5694.39846875
transcript.pyannote[737].speaker SPEAKER_24
transcript.pyannote[737].start 5694.39846875
transcript.pyannote[737].end 5695.02284375
transcript.pyannote[738].speaker SPEAKER_24
transcript.pyannote[738].start 5695.27596875
transcript.pyannote[738].end 5714.68221875
transcript.pyannote[739].speaker SPEAKER_26
transcript.pyannote[739].start 5712.87659375
transcript.pyannote[739].end 5714.49659375
transcript.pyannote[740].speaker SPEAKER_26
transcript.pyannote[740].start 5714.68221875
transcript.pyannote[740].end 5714.88471875
transcript.pyannote[741].speaker SPEAKER_24
transcript.pyannote[741].start 5714.88471875
transcript.pyannote[741].end 5715.03659375
transcript.pyannote[742].speaker SPEAKER_26
transcript.pyannote[742].start 5715.03659375
transcript.pyannote[742].end 5719.74471875
transcript.pyannote[743].speaker SPEAKER_24
transcript.pyannote[743].start 5720.35221875
transcript.pyannote[743].end 5723.30534375
transcript.pyannote[744].speaker SPEAKER_26
transcript.pyannote[744].start 5723.64284375
transcript.pyannote[744].end 5724.21659375
transcript.pyannote[745].speaker SPEAKER_24
transcript.pyannote[745].start 5724.21659375
transcript.pyannote[745].end 5724.25034375
transcript.pyannote[746].speaker SPEAKER_26
transcript.pyannote[746].start 5724.25034375
transcript.pyannote[746].end 5724.31784375
transcript.pyannote[747].speaker SPEAKER_24
transcript.pyannote[747].start 5724.31784375
transcript.pyannote[747].end 5724.46971875
transcript.pyannote[748].speaker SPEAKER_26
transcript.pyannote[748].start 5724.46971875
transcript.pyannote[748].end 5728.28346875
transcript.pyannote[749].speaker SPEAKER_24
transcript.pyannote[749].start 5724.48659375
transcript.pyannote[749].end 5726.20784375
transcript.pyannote[750].speaker SPEAKER_24
transcript.pyannote[750].start 5726.68034375
transcript.pyannote[750].end 5728.78971875
transcript.pyannote[751].speaker SPEAKER_26
transcript.pyannote[751].start 5728.65471875
transcript.pyannote[751].end 5728.70534375
transcript.pyannote[752].speaker SPEAKER_26
transcript.pyannote[752].start 5728.72221875
transcript.pyannote[752].end 5733.16034375
transcript.pyannote[753].speaker SPEAKER_26
transcript.pyannote[753].start 5733.37971875
transcript.pyannote[753].end 5736.29909375
transcript.pyannote[754].speaker SPEAKER_26
transcript.pyannote[754].start 5736.36659375
transcript.pyannote[754].end 5738.35784375
transcript.pyannote[755].speaker SPEAKER_26
transcript.pyannote[755].start 5741.02409375
transcript.pyannote[755].end 5747.45346875
transcript.pyannote[756].speaker SPEAKER_26
transcript.pyannote[756].start 5747.60534375
transcript.pyannote[756].end 5754.20346875
transcript.pyannote[757].speaker SPEAKER_26
transcript.pyannote[757].start 5754.99659375
transcript.pyannote[757].end 5758.10159375
transcript.pyannote[758].speaker SPEAKER_26
transcript.pyannote[758].start 5758.27034375
transcript.pyannote[758].end 5761.13909375
transcript.pyannote[759].speaker SPEAKER_26
transcript.pyannote[759].start 5761.51034375
transcript.pyannote[759].end 5767.38284375
transcript.pyannote[760].speaker SPEAKER_24
transcript.pyannote[760].start 5767.38284375
transcript.pyannote[760].end 5767.39971875
transcript.pyannote[761].speaker SPEAKER_24
transcript.pyannote[761].start 5770.48784375
transcript.pyannote[761].end 5779.63409375
transcript.pyannote[762].speaker SPEAKER_24
transcript.pyannote[762].start 5779.83659375
transcript.pyannote[762].end 5782.13159375
transcript.pyannote[763].speaker SPEAKER_26
transcript.pyannote[763].start 5782.57034375
transcript.pyannote[763].end 5782.58721875
transcript.pyannote[764].speaker SPEAKER_24
transcript.pyannote[764].start 5782.58721875
transcript.pyannote[764].end 5789.92784375
transcript.pyannote[765].speaker SPEAKER_24
transcript.pyannote[765].start 5790.51846875
transcript.pyannote[765].end 5799.31034375
transcript.pyannote[766].speaker SPEAKER_24
transcript.pyannote[766].start 5800.55909375
transcript.pyannote[766].end 5802.97221875
transcript.pyannote[767].speaker SPEAKER_26
transcript.pyannote[767].start 5802.97221875
transcript.pyannote[767].end 5803.05659375
transcript.pyannote[768].speaker SPEAKER_26
transcript.pyannote[768].start 5804.89596875
transcript.pyannote[768].end 5806.12784375
transcript.pyannote[769].speaker SPEAKER_26
transcript.pyannote[769].start 5806.44846875
transcript.pyannote[769].end 5811.03846875
transcript.pyannote[770].speaker SPEAKER_26
transcript.pyannote[770].start 5811.34221875
transcript.pyannote[770].end 5815.84784375
transcript.pyannote[771].speaker SPEAKER_06
transcript.pyannote[771].start 5816.55659375
transcript.pyannote[771].end 5816.65784375
transcript.pyannote[772].speaker SPEAKER_26
transcript.pyannote[772].start 5816.65784375
transcript.pyannote[772].end 5816.97846875
transcript.pyannote[773].speaker SPEAKER_06
transcript.pyannote[773].start 5816.97846875
transcript.pyannote[773].end 5817.18096875
transcript.pyannote[774].speaker SPEAKER_16
transcript.pyannote[774].start 5818.04159375
transcript.pyannote[774].end 5819.10471875
transcript.pyannote[775].speaker SPEAKER_06
transcript.pyannote[775].start 5820.96096875
transcript.pyannote[775].end 5820.99471875
transcript.pyannote[776].speaker SPEAKER_26
transcript.pyannote[776].start 5820.99471875
transcript.pyannote[776].end 5821.39971875
transcript.pyannote[777].speaker SPEAKER_26
transcript.pyannote[777].start 5824.84221875
transcript.pyannote[777].end 5825.29784375
transcript.pyannote[778].speaker SPEAKER_26
transcript.pyannote[778].start 5825.43284375
transcript.pyannote[778].end 5831.42346875
transcript.pyannote[779].speaker SPEAKER_26
transcript.pyannote[779].start 5831.64284375
transcript.pyannote[779].end 5832.62159375
transcript.pyannote[780].speaker SPEAKER_26
transcript.pyannote[780].start 5832.94221875
transcript.pyannote[780].end 5834.91659375
transcript.pyannote[781].speaker SPEAKER_06
transcript.pyannote[781].start 5834.91659375
transcript.pyannote[781].end 5835.05159375
transcript.pyannote[782].speaker SPEAKER_06
transcript.pyannote[782].start 5835.11909375
transcript.pyannote[782].end 5837.54909375
transcript.pyannote[783].speaker SPEAKER_26
transcript.pyannote[783].start 5837.54909375
transcript.pyannote[783].end 5837.59971875
transcript.pyannote[784].speaker SPEAKER_26
transcript.pyannote[784].start 5838.62909375
transcript.pyannote[784].end 5843.40471875
transcript.pyannote[785].speaker SPEAKER_26
transcript.pyannote[785].start 5843.70846875
transcript.pyannote[785].end 5844.78846875
transcript.pyannote[786].speaker SPEAKER_26
transcript.pyannote[786].start 5844.87284375
transcript.pyannote[786].end 5846.57721875
transcript.pyannote[787].speaker SPEAKER_26
transcript.pyannote[787].start 5846.91471875
transcript.pyannote[787].end 5849.47971875
transcript.pyannote[788].speaker SPEAKER_26
transcript.pyannote[788].start 5849.91846875
transcript.pyannote[788].end 5851.74096875
transcript.pyannote[789].speaker SPEAKER_26
transcript.pyannote[789].start 5851.80846875
transcript.pyannote[789].end 5856.04409375
transcript.pyannote[790].speaker SPEAKER_26
transcript.pyannote[790].start 5856.29721875
transcript.pyannote[790].end 5858.91284375
transcript.pyannote[791].speaker SPEAKER_26
transcript.pyannote[791].start 5859.11534375
transcript.pyannote[791].end 5860.02659375
transcript.pyannote[792].speaker SPEAKER_26
transcript.pyannote[792].start 5860.09409375
transcript.pyannote[792].end 5865.13971875
transcript.pyannote[793].speaker SPEAKER_26
transcript.pyannote[793].start 5865.40971875
transcript.pyannote[793].end 5866.10159375
transcript.pyannote[794].speaker SPEAKER_26
transcript.pyannote[794].start 5868.61596875
transcript.pyannote[794].end 5869.83096875
transcript.pyannote[795].speaker SPEAKER_26
transcript.pyannote[795].start 5869.91534375
transcript.pyannote[795].end 5872.75034375
transcript.pyannote[796].speaker SPEAKER_26
transcript.pyannote[796].start 5872.96971875
transcript.pyannote[796].end 5874.25221875
transcript.pyannote[797].speaker SPEAKER_26
transcript.pyannote[797].start 5875.38284375
transcript.pyannote[797].end 5876.98596875
transcript.pyannote[798].speaker SPEAKER_26
transcript.pyannote[798].start 5877.35721875
transcript.pyannote[798].end 5877.76221875
transcript.pyannote[799].speaker SPEAKER_26
transcript.pyannote[799].start 5878.20096875
transcript.pyannote[799].end 5881.03596875
transcript.pyannote[800].speaker SPEAKER_06
transcript.pyannote[800].start 5881.03596875
transcript.pyannote[800].end 5881.64346875
transcript.pyannote[801].speaker SPEAKER_06
transcript.pyannote[801].start 5881.96409375
transcript.pyannote[801].end 5887.04346875
transcript.pyannote[802].speaker SPEAKER_06
transcript.pyannote[802].start 5887.29659375
transcript.pyannote[802].end 5888.81534375
transcript.pyannote[803].speaker SPEAKER_06
transcript.pyannote[803].start 5889.16971875
transcript.pyannote[803].end 5898.41721875
transcript.pyannote[804].speaker SPEAKER_06
transcript.pyannote[804].start 5899.15971875
transcript.pyannote[804].end 5924.10096875
transcript.pyannote[805].speaker SPEAKER_26
transcript.pyannote[805].start 5924.43846875
transcript.pyannote[805].end 5924.70846875
transcript.pyannote[806].speaker SPEAKER_06
transcript.pyannote[806].start 5924.70846875
transcript.pyannote[806].end 5924.74221875
transcript.pyannote[807].speaker SPEAKER_26
transcript.pyannote[807].start 5925.21471875
transcript.pyannote[807].end 5927.20596875
transcript.pyannote[808].speaker SPEAKER_26
transcript.pyannote[808].start 5927.47596875
transcript.pyannote[808].end 5927.99909375
transcript.pyannote[809].speaker SPEAKER_26
transcript.pyannote[809].start 5928.42096875
transcript.pyannote[809].end 5929.01159375
transcript.pyannote[810].speaker SPEAKER_26
transcript.pyannote[810].start 5929.60221875
transcript.pyannote[810].end 5933.93909375
transcript.pyannote[811].speaker SPEAKER_26
transcript.pyannote[811].start 5934.20909375
transcript.pyannote[811].end 5936.31846875
transcript.pyannote[812].speaker SPEAKER_26
transcript.pyannote[812].start 5936.55471875
transcript.pyannote[812].end 5937.04409375
transcript.pyannote[813].speaker SPEAKER_26
transcript.pyannote[813].start 5937.21284375
transcript.pyannote[813].end 5939.96346875
transcript.pyannote[814].speaker SPEAKER_26
transcript.pyannote[814].start 5940.23346875
transcript.pyannote[814].end 5941.29659375
transcript.pyannote[815].speaker SPEAKER_26
transcript.pyannote[815].start 5941.56659375
transcript.pyannote[815].end 5946.32534375
transcript.pyannote[816].speaker SPEAKER_26
transcript.pyannote[816].start 5946.47721875
transcript.pyannote[816].end 5948.40096875
transcript.pyannote[817].speaker SPEAKER_26
transcript.pyannote[817].start 5952.19784375
transcript.pyannote[817].end 5955.64034375
transcript.pyannote[818].speaker SPEAKER_26
transcript.pyannote[818].start 5956.21409375
transcript.pyannote[818].end 5960.82096875
transcript.pyannote[819].speaker SPEAKER_26
transcript.pyannote[819].start 5961.46221875
transcript.pyannote[819].end 5969.56221875
transcript.pyannote[820].speaker SPEAKER_26
transcript.pyannote[820].start 5969.83221875
transcript.pyannote[820].end 5977.15596875
transcript.pyannote[821].speaker SPEAKER_26
transcript.pyannote[821].start 5977.66221875
transcript.pyannote[821].end 5979.07971875
transcript.pyannote[822].speaker SPEAKER_26
transcript.pyannote[822].start 5979.65346875
transcript.pyannote[822].end 5984.53034375
transcript.pyannote[823].speaker SPEAKER_26
transcript.pyannote[823].start 5984.69909375
transcript.pyannote[823].end 5989.03596875
transcript.pyannote[824].speaker SPEAKER_26
transcript.pyannote[824].start 5990.36909375
transcript.pyannote[824].end 5990.68971875
transcript.pyannote[825].speaker SPEAKER_26
transcript.pyannote[825].start 5991.29721875
transcript.pyannote[825].end 5992.39409375
transcript.pyannote[826].speaker SPEAKER_26
transcript.pyannote[826].start 5992.81596875
transcript.pyannote[826].end 5993.06909375
transcript.pyannote[827].speaker SPEAKER_26
transcript.pyannote[827].start 5993.47409375
transcript.pyannote[827].end 5993.94659375
transcript.pyannote[828].speaker SPEAKER_26
transcript.pyannote[828].start 5994.46971875
transcript.pyannote[828].end 5994.58784375
transcript.pyannote[829].speaker SPEAKER_13
transcript.pyannote[829].start 5994.58784375
transcript.pyannote[829].end 5994.62159375
transcript.pyannote[830].speaker SPEAKER_22
transcript.pyannote[830].start 5994.79034375
transcript.pyannote[830].end 5997.79409375
transcript.pyannote[831].speaker SPEAKER_13
transcript.pyannote[831].start 5996.96721875
transcript.pyannote[831].end 5997.30471875
transcript.pyannote[832].speaker SPEAKER_22
transcript.pyannote[832].start 5999.04284375
transcript.pyannote[832].end 6000.08909375
transcript.pyannote[833].speaker SPEAKER_13
transcript.pyannote[833].start 5999.26221875
transcript.pyannote[833].end 5999.63346875
transcript.pyannote[834].speaker SPEAKER_13
transcript.pyannote[834].start 6000.08909375
transcript.pyannote[834].end 6024.60846875
transcript.pyannote[835].speaker SPEAKER_13
transcript.pyannote[835].start 6024.92909375
transcript.pyannote[835].end 6027.30846875
transcript.pyannote[836].speaker SPEAKER_13
transcript.pyannote[836].start 6027.66284375
transcript.pyannote[836].end 6030.49784375
transcript.pyannote[837].speaker SPEAKER_13
transcript.pyannote[837].start 6030.76784375
transcript.pyannote[837].end 6031.79721875
transcript.pyannote[838].speaker SPEAKER_13
transcript.pyannote[838].start 6032.16846875
transcript.pyannote[838].end 6034.07534375
transcript.pyannote[839].speaker SPEAKER_26
transcript.pyannote[839].start 6034.07534375
transcript.pyannote[839].end 6035.05409375
transcript.pyannote[840].speaker SPEAKER_26
transcript.pyannote[840].start 6035.35784375
transcript.pyannote[840].end 6036.30284375
transcript.pyannote[841].speaker SPEAKER_22
transcript.pyannote[841].start 6036.70784375
transcript.pyannote[841].end 6039.52596875
transcript.pyannote[842].speaker SPEAKER_26
transcript.pyannote[842].start 6038.09159375
transcript.pyannote[842].end 6039.67784375
transcript.pyannote[843].speaker SPEAKER_22
transcript.pyannote[843].start 6039.67784375
transcript.pyannote[843].end 6050.27534375
transcript.pyannote[844].speaker SPEAKER_26
transcript.pyannote[844].start 6039.72846875
transcript.pyannote[844].end 6039.81284375
transcript.pyannote[845].speaker SPEAKER_17
transcript.pyannote[845].start 6080.21159375
transcript.pyannote[845].end 6080.46471875
transcript.pyannote[846].speaker SPEAKER_17
transcript.pyannote[846].start 6080.54909375
transcript.pyannote[846].end 6081.03846875
transcript.pyannote[847].speaker SPEAKER_28
transcript.pyannote[847].start 6082.32096875
transcript.pyannote[847].end 6082.48971875
transcript.pyannote[848].speaker SPEAKER_17
transcript.pyannote[848].start 6082.48971875
transcript.pyannote[848].end 6082.67534375
transcript.pyannote[849].speaker SPEAKER_28
transcript.pyannote[849].start 6083.55284375
transcript.pyannote[849].end 6084.34596875
transcript.pyannote[850].speaker SPEAKER_28
transcript.pyannote[850].start 6085.08846875
transcript.pyannote[850].end 6085.40909375
transcript.pyannote[851].speaker SPEAKER_28
transcript.pyannote[851].start 6089.98221875
transcript.pyannote[851].end 6090.75846875
transcript.pyannote[852].speaker SPEAKER_29
transcript.pyannote[852].start 6105.06846875
transcript.pyannote[852].end 6105.82784375
transcript.pyannote[853].speaker SPEAKER_29
transcript.pyannote[853].start 6129.58784375
transcript.pyannote[853].end 6130.02659375
transcript.pyannote[854].speaker SPEAKER_29
transcript.pyannote[854].start 6142.96971875
transcript.pyannote[854].end 6143.03721875
transcript.pyannote[855].speaker SPEAKER_29
transcript.pyannote[855].start 6143.15534375
transcript.pyannote[855].end 6143.22284375
transcript.pyannote[856].speaker SPEAKER_29
transcript.pyannote[856].start 6161.97096875
transcript.pyannote[856].end 6162.88221875
transcript.pyannote[857].speaker SPEAKER_29
transcript.pyannote[857].start 6162.96659375
transcript.pyannote[857].end 6163.00034375
transcript.pyannote[858].speaker SPEAKER_22
transcript.pyannote[858].start 6163.96221875
transcript.pyannote[858].end 6164.01284375
transcript.pyannote[859].speaker SPEAKER_29
transcript.pyannote[859].start 6164.01284375
transcript.pyannote[859].end 6164.02971875
transcript.pyannote[860].speaker SPEAKER_22
transcript.pyannote[860].start 6164.02971875
transcript.pyannote[860].end 6167.03346875
transcript.pyannote[861].speaker SPEAKER_29
transcript.pyannote[861].start 6167.03346875
transcript.pyannote[861].end 6175.87596875
transcript.pyannote[862].speaker SPEAKER_22
transcript.pyannote[862].start 6171.82596875
transcript.pyannote[862].end 6171.84284375
transcript.pyannote[863].speaker SPEAKER_20
transcript.pyannote[863].start 6171.84284375
transcript.pyannote[863].end 6172.61909375
transcript.pyannote[864].speaker SPEAKER_20
transcript.pyannote[864].start 6172.85534375
transcript.pyannote[864].end 6173.00721875
transcript.pyannote[865].speaker SPEAKER_20
transcript.pyannote[865].start 6173.04096875
transcript.pyannote[865].end 6173.31096875
transcript.pyannote[866].speaker SPEAKER_20
transcript.pyannote[866].start 6173.46284375
transcript.pyannote[866].end 6173.80034375
transcript.pyannote[867].speaker SPEAKER_29
transcript.pyannote[867].start 6176.68596875
transcript.pyannote[867].end 6176.90534375
transcript.pyannote[868].speaker SPEAKER_29
transcript.pyannote[868].start 6176.92221875
transcript.pyannote[868].end 6176.97284375
transcript.pyannote[869].speaker SPEAKER_20
transcript.pyannote[869].start 6176.97284375
transcript.pyannote[869].end 6177.10784375
transcript.pyannote[870].speaker SPEAKER_29
transcript.pyannote[870].start 6177.10784375
transcript.pyannote[870].end 6177.73221875
transcript.pyannote[871].speaker SPEAKER_20
transcript.pyannote[871].start 6177.73221875
transcript.pyannote[871].end 6177.96846875
transcript.pyannote[872].speaker SPEAKER_29
transcript.pyannote[872].start 6177.96846875
transcript.pyannote[872].end 6179.03159375
transcript.pyannote[873].speaker SPEAKER_29
transcript.pyannote[873].start 6180.97221875
transcript.pyannote[873].end 6181.02284375
transcript.pyannote[874].speaker SPEAKER_29
transcript.pyannote[874].start 6181.73159375
transcript.pyannote[874].end 6181.93409375
transcript.pyannote[875].speaker SPEAKER_29
transcript.pyannote[875].start 6181.96784375
transcript.pyannote[875].end 6182.03534375
transcript.pyannote[876].speaker SPEAKER_29
transcript.pyannote[876].start 6182.76096875
transcript.pyannote[876].end 6182.81159375
transcript.pyannote[877].speaker SPEAKER_29
transcript.pyannote[877].start 6182.99721875
transcript.pyannote[877].end 6183.13221875
transcript.pyannote[878].speaker SPEAKER_29
transcript.pyannote[878].start 6183.65534375
transcript.pyannote[878].end 6183.92534375
transcript.pyannote[879].speaker SPEAKER_28
transcript.pyannote[879].start 6191.43471875
transcript.pyannote[879].end 6192.02534375
transcript.pyannote[880].speaker SPEAKER_28
transcript.pyannote[880].start 6192.12659375
transcript.pyannote[880].end 6192.49784375
transcript.pyannote[881].speaker SPEAKER_29
transcript.pyannote[881].start 6192.97034375
transcript.pyannote[881].end 6193.03784375
transcript.pyannote[882].speaker SPEAKER_29
transcript.pyannote[882].start 6193.96596875
transcript.pyannote[882].end 6194.92784375
transcript.pyannote[883].speaker SPEAKER_29
transcript.pyannote[883].start 6194.97846875
transcript.pyannote[883].end 6195.13034375
transcript.pyannote[884].speaker SPEAKER_28
transcript.pyannote[884].start 6196.24409375
transcript.pyannote[884].end 6196.66596875
transcript.pyannote[885].speaker SPEAKER_29
transcript.pyannote[885].start 6196.66596875
transcript.pyannote[885].end 6196.69971875
transcript.pyannote[886].speaker SPEAKER_29
transcript.pyannote[886].start 6197.59409375
transcript.pyannote[886].end 6202.92659375
transcript.pyannote[887].speaker SPEAKER_29
transcript.pyannote[887].start 6202.94346875
transcript.pyannote[887].end 6210.18284375
transcript.pyannote[888].speaker SPEAKER_28
transcript.pyannote[888].start 6203.21346875
transcript.pyannote[888].end 6206.97659375
transcript.pyannote[889].speaker SPEAKER_15
transcript.pyannote[889].start 6206.97659375
transcript.pyannote[889].end 6207.01034375
transcript.pyannote[890].speaker SPEAKER_15
transcript.pyannote[890].start 6207.85409375
transcript.pyannote[890].end 6207.93846875
transcript.pyannote[891].speaker SPEAKER_28
transcript.pyannote[891].start 6207.93846875
transcript.pyannote[891].end 6207.97221875
transcript.pyannote[892].speaker SPEAKER_15
transcript.pyannote[892].start 6207.97221875
transcript.pyannote[892].end 6208.00596875
transcript.pyannote[893].speaker SPEAKER_28
transcript.pyannote[893].start 6208.00596875
transcript.pyannote[893].end 6209.92971875
transcript.pyannote[894].speaker SPEAKER_15
transcript.pyannote[894].start 6210.18284375
transcript.pyannote[894].end 6210.28409375
transcript.pyannote[895].speaker SPEAKER_29
transcript.pyannote[895].start 6210.28409375
transcript.pyannote[895].end 6210.62159375
transcript.pyannote[896].speaker SPEAKER_15
transcript.pyannote[896].start 6210.62159375
transcript.pyannote[896].end 6210.97596875
transcript.pyannote[897].speaker SPEAKER_29
transcript.pyannote[897].start 6210.97596875
transcript.pyannote[897].end 6211.31346875
transcript.pyannote[898].speaker SPEAKER_29
transcript.pyannote[898].start 6211.66784375
transcript.pyannote[898].end 6212.03909375
transcript.pyannote[899].speaker SPEAKER_20
transcript.pyannote[899].start 6211.88721875
transcript.pyannote[899].end 6211.92096875
transcript.pyannote[900].speaker SPEAKER_28
transcript.pyannote[900].start 6211.92096875
transcript.pyannote[900].end 6212.47784375
transcript.pyannote[901].speaker SPEAKER_20
transcript.pyannote[901].start 6212.03909375
transcript.pyannote[901].end 6213.55784375
transcript.pyannote[902].speaker SPEAKER_29
transcript.pyannote[902].start 6213.55784375
transcript.pyannote[902].end 6213.84471875
transcript.pyannote[903].speaker SPEAKER_20
transcript.pyannote[903].start 6213.84471875
transcript.pyannote[903].end 6214.70534375
transcript.pyannote[904].speaker SPEAKER_29
transcript.pyannote[904].start 6214.70534375
transcript.pyannote[904].end 6214.80659375
transcript.pyannote[905].speaker SPEAKER_28
transcript.pyannote[905].start 6214.80659375
transcript.pyannote[905].end 6214.84034375
transcript.pyannote[906].speaker SPEAKER_29
transcript.pyannote[906].start 6220.96596875
transcript.pyannote[906].end 6221.03346875
transcript.pyannote[907].speaker SPEAKER_29
transcript.pyannote[907].start 6238.97159375
transcript.pyannote[907].end 6239.37659375
transcript.pyannote[908].speaker SPEAKER_29
transcript.pyannote[908].start 6243.88221875
transcript.pyannote[908].end 6243.93284375
transcript.pyannote[909].speaker SPEAKER_29
transcript.pyannote[909].start 6243.96659375
transcript.pyannote[909].end 6244.03409375
transcript.pyannote[910].speaker SPEAKER_29
transcript.pyannote[910].start 6365.39909375
transcript.pyannote[910].end 6365.41596875
transcript.pyannote[911].speaker SPEAKER_29
transcript.pyannote[911].start 6365.46659375
transcript.pyannote[911].end 6365.53409375
transcript.pyannote[912].speaker SPEAKER_13
transcript.pyannote[912].start 6365.53409375
transcript.pyannote[912].end 6365.88846875
transcript.pyannote[913].speaker SPEAKER_00
transcript.pyannote[913].start 6404.17784375
transcript.pyannote[913].end 6404.53221875
transcript.pyannote[914].speaker SPEAKER_17
transcript.pyannote[914].start 6520.96971875
transcript.pyannote[914].end 6521.08784375
transcript.pyannote[915].speaker SPEAKER_17
transcript.pyannote[915].start 6522.80909375
transcript.pyannote[915].end 6524.71596875
transcript.pyannote[916].speaker SPEAKER_17
transcript.pyannote[916].start 6526.53846875
transcript.pyannote[916].end 6526.87596875
transcript.pyannote[917].speaker SPEAKER_17
transcript.pyannote[917].start 6526.97721875
transcript.pyannote[917].end 6527.02784375
transcript.pyannote[918].speaker SPEAKER_17
transcript.pyannote[918].start 6527.97284375
transcript.pyannote[918].end 6528.02346875
transcript.pyannote[919].speaker SPEAKER_17
transcript.pyannote[919].start 6528.31034375
transcript.pyannote[919].end 6528.32721875
transcript.pyannote[920].speaker SPEAKER_17
transcript.pyannote[920].start 6528.37784375
transcript.pyannote[920].end 6528.47909375
transcript.pyannote[921].speaker SPEAKER_28
transcript.pyannote[921].start 6537.74346875
transcript.pyannote[921].end 6537.79409375
transcript.pyannote[922].speaker SPEAKER_28
transcript.pyannote[922].start 6537.82784375
transcript.pyannote[922].end 6537.84471875
transcript.pyannote[923].speaker SPEAKER_28
transcript.pyannote[923].start 6539.86971875
transcript.pyannote[923].end 6541.94534375
transcript.pyannote[924].speaker SPEAKER_28
transcript.pyannote[924].start 6541.96221875
transcript.pyannote[924].end 6542.02971875
transcript.pyannote[925].speaker SPEAKER_28
transcript.pyannote[925].start 6542.97471875
transcript.pyannote[925].end 6543.02534375
transcript.pyannote[926].speaker SPEAKER_28
transcript.pyannote[926].start 6551.96909375
transcript.pyannote[926].end 6552.67784375
transcript.pyannote[927].speaker SPEAKER_28
transcript.pyannote[927].start 6552.96471875
transcript.pyannote[927].end 6553.03221875
transcript.pyannote[928].speaker SPEAKER_27
transcript.pyannote[928].start 6553.03221875
transcript.pyannote[928].end 6562.65096875
transcript.pyannote[929].speaker SPEAKER_28
transcript.pyannote[929].start 6576.53909375
transcript.pyannote[929].end 6577.78784375
transcript.pyannote[930].speaker SPEAKER_28
transcript.pyannote[930].start 6613.34346875
transcript.pyannote[930].end 6613.79909375
transcript.pyannote[931].speaker SPEAKER_22
transcript.pyannote[931].start 6626.62409375
transcript.pyannote[931].end 6632.71596875
transcript.pyannote[932].speaker SPEAKER_20
transcript.pyannote[932].start 6641.05221875
transcript.pyannote[932].end 6642.72284375
transcript.pyannote[933].speaker SPEAKER_20
transcript.pyannote[933].start 6642.97596875
transcript.pyannote[933].end 6647.63346875
transcript.pyannote[934].speaker SPEAKER_22
transcript.pyannote[934].start 6647.63346875
transcript.pyannote[934].end 6647.65034375
transcript.pyannote[935].speaker SPEAKER_24
transcript.pyannote[935].start 6654.13034375
transcript.pyannote[935].end 6654.95721875
transcript.pyannote[936].speaker SPEAKER_20
transcript.pyannote[936].start 6654.95721875
transcript.pyannote[936].end 6655.10909375
transcript.pyannote[937].speaker SPEAKER_20
transcript.pyannote[937].start 6655.66596875
transcript.pyannote[937].end 6668.64284375
transcript.pyannote[938].speaker SPEAKER_24
transcript.pyannote[938].start 6660.86346875
transcript.pyannote[938].end 6661.55534375
transcript.pyannote[939].speaker SPEAKER_24
transcript.pyannote[939].start 6668.86221875
transcript.pyannote[939].end 6673.14846875
transcript.pyannote[940].speaker SPEAKER_20
transcript.pyannote[940].start 6671.52846875
transcript.pyannote[940].end 6674.70096875
transcript.pyannote[941].speaker SPEAKER_24
transcript.pyannote[941].start 6674.54909375
transcript.pyannote[941].end 6675.05534375
transcript.pyannote[942].speaker SPEAKER_20
transcript.pyannote[942].start 6675.05534375
transcript.pyannote[942].end 6679.05471875
transcript.pyannote[943].speaker SPEAKER_24
transcript.pyannote[943].start 6675.07221875
transcript.pyannote[943].end 6675.12284375
transcript.pyannote[944].speaker SPEAKER_20
transcript.pyannote[944].start 6679.15596875
transcript.pyannote[944].end 6680.62409375
transcript.pyannote[945].speaker SPEAKER_20
transcript.pyannote[945].start 6681.28221875
transcript.pyannote[945].end 6682.96971875
transcript.pyannote[946].speaker SPEAKER_24
transcript.pyannote[946].start 6681.34971875
transcript.pyannote[946].end 6681.95721875
transcript.pyannote[947].speaker SPEAKER_24
transcript.pyannote[947].start 6682.96971875
transcript.pyannote[947].end 6701.71784375
transcript.pyannote[948].speaker SPEAKER_24
transcript.pyannote[948].start 6702.13971875
transcript.pyannote[948].end 6713.95221875
transcript.pyannote[949].speaker SPEAKER_20
transcript.pyannote[949].start 6712.26471875
transcript.pyannote[949].end 6713.96909375
transcript.pyannote[950].speaker SPEAKER_24
transcript.pyannote[950].start 6713.96909375
transcript.pyannote[950].end 6714.03659375
transcript.pyannote[951].speaker SPEAKER_20
transcript.pyannote[951].start 6714.03659375
transcript.pyannote[951].end 6715.15034375
transcript.pyannote[952].speaker SPEAKER_24
transcript.pyannote[952].start 6715.15034375
transcript.pyannote[952].end 6717.41159375
transcript.pyannote[953].speaker SPEAKER_20
transcript.pyannote[953].start 6717.41159375
transcript.pyannote[953].end 6732.17721875
transcript.pyannote[954].speaker SPEAKER_24
transcript.pyannote[954].start 6717.46221875
transcript.pyannote[954].end 6719.62221875
transcript.pyannote[955].speaker SPEAKER_24
transcript.pyannote[955].start 6726.35534375
transcript.pyannote[955].end 6729.07221875
transcript.pyannote[956].speaker SPEAKER_24
transcript.pyannote[956].start 6731.23221875
transcript.pyannote[956].end 6738.77534375
transcript.pyannote[957].speaker SPEAKER_20
transcript.pyannote[957].start 6734.28659375
transcript.pyannote[957].end 6747.63471875
transcript.pyannote[958].speaker SPEAKER_24
transcript.pyannote[958].start 6748.47846875
transcript.pyannote[958].end 6753.27096875
transcript.pyannote[959].speaker SPEAKER_20
transcript.pyannote[959].start 6750.87471875
transcript.pyannote[959].end 6754.16534375
transcript.pyannote[960].speaker SPEAKER_24
transcript.pyannote[960].start 6754.19909375
transcript.pyannote[960].end 6757.79346875
transcript.pyannote[961].speaker SPEAKER_20
transcript.pyannote[961].start 6757.38846875
transcript.pyannote[961].end 6785.77221875
transcript.pyannote[962].speaker SPEAKER_20
transcript.pyannote[962].start 6786.14346875
transcript.pyannote[962].end 6796.38659375
transcript.pyannote[963].speaker SPEAKER_33
transcript.pyannote[963].start 6794.29409375
transcript.pyannote[963].end 6795.34034375
transcript.pyannote[964].speaker SPEAKER_20
transcript.pyannote[964].start 6796.84221875
transcript.pyannote[964].end 6831.87471875
transcript.pyannote[965].speaker SPEAKER_20
transcript.pyannote[965].start 6832.21221875
transcript.pyannote[965].end 6870.13034375
transcript.pyannote[966].speaker SPEAKER_20
transcript.pyannote[966].start 6870.23159375
transcript.pyannote[966].end 6884.44034375
transcript.pyannote[967].speaker SPEAKER_27
transcript.pyannote[967].start 6884.44034375
transcript.pyannote[967].end 6885.72284375
transcript.pyannote[968].speaker SPEAKER_20
transcript.pyannote[968].start 6885.36846875
transcript.pyannote[968].end 6916.03034375
transcript.pyannote[969].speaker SPEAKER_17
transcript.pyannote[969].start 6911.18721875
transcript.pyannote[969].end 6911.89596875
transcript.pyannote[970].speaker SPEAKER_24
transcript.pyannote[970].start 6913.04346875
transcript.pyannote[970].end 6913.56659375
transcript.pyannote[971].speaker SPEAKER_24
transcript.pyannote[971].start 6915.94596875
transcript.pyannote[971].end 6931.70721875
transcript.pyannote[972].speaker SPEAKER_20
transcript.pyannote[972].start 6928.11284375
transcript.pyannote[972].end 6941.49471875
transcript.pyannote[973].speaker SPEAKER_13
transcript.pyannote[973].start 6935.09909375
transcript.pyannote[973].end 6935.14971875
transcript.pyannote[974].speaker SPEAKER_24
transcript.pyannote[974].start 6935.14971875
transcript.pyannote[974].end 6935.18346875
transcript.pyannote[975].speaker SPEAKER_27
transcript.pyannote[975].start 6935.18346875
transcript.pyannote[975].end 6935.63909375
transcript.pyannote[976].speaker SPEAKER_24
transcript.pyannote[976].start 6935.63909375
transcript.pyannote[976].end 6935.65596875
transcript.pyannote[977].speaker SPEAKER_27
transcript.pyannote[977].start 6935.65596875
transcript.pyannote[977].end 6935.68971875
transcript.pyannote[978].speaker SPEAKER_13
transcript.pyannote[978].start 6935.68971875
transcript.pyannote[978].end 6935.70659375
transcript.pyannote[979].speaker SPEAKER_13
transcript.pyannote[979].start 6940.09409375
transcript.pyannote[979].end 6945.73034375
transcript.pyannote[980].speaker SPEAKER_20
transcript.pyannote[980].start 6942.33846875
transcript.pyannote[980].end 6966.23346875
transcript.pyannote[981].speaker SPEAKER_20
transcript.pyannote[981].start 6967.02659375
transcript.pyannote[981].end 6972.32534375
transcript.pyannote[982].speaker SPEAKER_24
transcript.pyannote[982].start 6972.27471875
transcript.pyannote[982].end 6975.44721875
transcript.pyannote[983].speaker SPEAKER_20
transcript.pyannote[983].start 6976.44284375
transcript.pyannote[983].end 6977.72534375
transcript.pyannote[984].speaker SPEAKER_24
transcript.pyannote[984].start 6976.98284375
transcript.pyannote[984].end 6978.06284375
transcript.pyannote[985].speaker SPEAKER_20
transcript.pyannote[985].start 6977.99534375
transcript.pyannote[985].end 6992.18721875
transcript.pyannote[986].speaker SPEAKER_27
transcript.pyannote[986].start 6978.06284375
transcript.pyannote[986].end 6978.07971875
transcript.pyannote[987].speaker SPEAKER_22
transcript.pyannote[987].start 6988.52534375
transcript.pyannote[987].end 6988.54221875
transcript.pyannote[988].speaker SPEAKER_28
transcript.pyannote[988].start 6988.54221875
transcript.pyannote[988].end 6988.96409375
transcript.pyannote[989].speaker SPEAKER_22
transcript.pyannote[989].start 6988.96409375
transcript.pyannote[989].end 6989.70659375
transcript.pyannote[990].speaker SPEAKER_20
transcript.pyannote[990].start 6994.90409375
transcript.pyannote[990].end 6995.32596875
transcript.pyannote[991].speaker SPEAKER_20
transcript.pyannote[991].start 6995.84909375
transcript.pyannote[991].end 6996.84471875
transcript.pyannote[992].speaker SPEAKER_20
transcript.pyannote[992].start 6997.57034375
transcript.pyannote[992].end 7069.60971875
transcript.pyannote[993].speaker SPEAKER_20
transcript.pyannote[993].start 7070.47034375
transcript.pyannote[993].end 7078.24971875
transcript.pyannote[994].speaker SPEAKER_20
transcript.pyannote[994].start 7078.53659375
transcript.pyannote[994].end 7110.68346875
transcript.pyannote[995].speaker SPEAKER_24
transcript.pyannote[995].start 7111.22346875
transcript.pyannote[995].end 7119.37409375
transcript.pyannote[996].speaker SPEAKER_20
transcript.pyannote[996].start 7116.64034375
transcript.pyannote[996].end 7122.96846875
transcript.pyannote[997].speaker SPEAKER_24
transcript.pyannote[997].start 7122.96846875
transcript.pyannote[997].end 7128.35159375
transcript.pyannote[998].speaker SPEAKER_20
transcript.pyannote[998].start 7128.53721875
transcript.pyannote[998].end 7165.76346875
transcript.pyannote[999].speaker SPEAKER_24
transcript.pyannote[999].start 7129.76909375
transcript.pyannote[999].end 7129.98846875
transcript.pyannote[1000].speaker SPEAKER_04
transcript.pyannote[1000].start 7168.15971875
transcript.pyannote[1000].end 7181.71034375
transcript.pyannote[1001].speaker SPEAKER_00
transcript.pyannote[1001].start 7175.29784375
transcript.pyannote[1001].end 7175.31471875
transcript.pyannote[1002].speaker SPEAKER_20
transcript.pyannote[1002].start 7175.31471875
transcript.pyannote[1002].end 7175.77034375
transcript.pyannote[1003].speaker SPEAKER_00
transcript.pyannote[1003].start 7175.77034375
transcript.pyannote[1003].end 7176.02346875
transcript.pyannote[1004].speaker SPEAKER_17
transcript.pyannote[1004].start 7176.02346875
transcript.pyannote[1004].end 7183.54971875
transcript.pyannote[1005].speaker SPEAKER_04
transcript.pyannote[1005].start 7182.36846875
transcript.pyannote[1005].end 7198.29846875
transcript.pyannote[1006].speaker SPEAKER_20
transcript.pyannote[1006].start 7193.55659375
transcript.pyannote[1006].end 7195.15971875
transcript.pyannote[1007].speaker SPEAKER_20
transcript.pyannote[1007].start 7195.98659375
transcript.pyannote[1007].end 7214.02596875
transcript.pyannote[1008].speaker SPEAKER_04
transcript.pyannote[1008].start 7201.01534375
transcript.pyannote[1008].end 7201.33596875
transcript.pyannote[1009].speaker SPEAKER_04
transcript.pyannote[1009].start 7209.21659375
transcript.pyannote[1009].end 7214.19471875
transcript.pyannote[1010].speaker SPEAKER_04
transcript.pyannote[1010].start 7214.56596875
transcript.pyannote[1010].end 7221.90659375
transcript.pyannote[1011].speaker SPEAKER_04
transcript.pyannote[1011].start 7223.05409375
transcript.pyannote[1011].end 7242.32534375
transcript.pyannote[1012].speaker SPEAKER_00
transcript.pyannote[1012].start 7227.61034375
transcript.pyannote[1012].end 7227.91409375
transcript.pyannote[1013].speaker SPEAKER_22
transcript.pyannote[1013].start 7238.76471875
transcript.pyannote[1013].end 7239.99659375
transcript.pyannote[1014].speaker SPEAKER_20
transcript.pyannote[1014].start 7239.99659375
transcript.pyannote[1014].end 7240.03034375
transcript.pyannote[1015].speaker SPEAKER_22
transcript.pyannote[1015].start 7240.03034375
transcript.pyannote[1015].end 7250.76284375
transcript.pyannote[1016].speaker SPEAKER_28
transcript.pyannote[1016].start 7244.06346875
transcript.pyannote[1016].end 7244.08034375
transcript.pyannote[1017].speaker SPEAKER_04
transcript.pyannote[1017].start 7244.08034375
transcript.pyannote[1017].end 7244.45159375
transcript.pyannote[1018].speaker SPEAKER_28
transcript.pyannote[1018].start 7244.45159375
transcript.pyannote[1018].end 7244.51909375
transcript.pyannote[1019].speaker SPEAKER_28
transcript.pyannote[1019].start 7247.65784375
transcript.pyannote[1019].end 7247.74221875
transcript.pyannote[1020].speaker SPEAKER_22
transcript.pyannote[1020].start 7250.93159375
transcript.pyannote[1020].end 7257.10784375
transcript.pyannote[1021].speaker SPEAKER_23
transcript.pyannote[1021].start 7252.73721875
transcript.pyannote[1021].end 7252.75409375
transcript.pyannote[1022].speaker SPEAKER_28
transcript.pyannote[1022].start 7252.75409375
transcript.pyannote[1022].end 7252.97346875
transcript.pyannote[1023].speaker SPEAKER_23
transcript.pyannote[1023].start 7252.97346875
transcript.pyannote[1023].end 7253.14221875
transcript.pyannote[1024].speaker SPEAKER_20
transcript.pyannote[1024].start 7253.14221875
transcript.pyannote[1024].end 7253.15909375
transcript.pyannote[1025].speaker SPEAKER_23
transcript.pyannote[1025].start 7256.56784375
transcript.pyannote[1025].end 7256.75346875
transcript.pyannote[1026].speaker SPEAKER_23
transcript.pyannote[1026].start 7257.10784375
transcript.pyannote[1026].end 7257.12471875
transcript.pyannote[1027].speaker SPEAKER_22
transcript.pyannote[1027].start 7257.12471875
transcript.pyannote[1027].end 7264.75221875
transcript.pyannote[1028].speaker SPEAKER_23
transcript.pyannote[1028].start 7257.44534375
transcript.pyannote[1028].end 7257.47909375
transcript.pyannote[1029].speaker SPEAKER_04
transcript.pyannote[1029].start 7257.47909375
transcript.pyannote[1029].end 7258.39034375
transcript.pyannote[1030].speaker SPEAKER_26
transcript.pyannote[1030].start 7258.39034375
transcript.pyannote[1030].end 7258.42409375
transcript.pyannote[1031].speaker SPEAKER_04
transcript.pyannote[1031].start 7264.48221875
transcript.pyannote[1031].end 7267.11471875
transcript.pyannote[1032].speaker SPEAKER_22
transcript.pyannote[1032].start 7265.81534375
transcript.pyannote[1032].end 7267.78971875
transcript.pyannote[1033].speaker SPEAKER_04
transcript.pyannote[1033].start 7267.23284375
transcript.pyannote[1033].end 7273.29096875
transcript.pyannote[1034].speaker SPEAKER_22
transcript.pyannote[1034].start 7268.80221875
transcript.pyannote[1034].end 7274.82659375
transcript.pyannote[1035].speaker SPEAKER_28
transcript.pyannote[1035].start 7273.29096875
transcript.pyannote[1035].end 7273.34159375
transcript.pyannote[1036].speaker SPEAKER_28
transcript.pyannote[1036].start 7274.55659375
transcript.pyannote[1036].end 7274.75909375
transcript.pyannote[1037].speaker SPEAKER_04
transcript.pyannote[1037].start 7274.82659375
transcript.pyannote[1037].end 7274.84346875
transcript.pyannote[1038].speaker SPEAKER_28
transcript.pyannote[1038].start 7274.84346875
transcript.pyannote[1038].end 7274.86034375
transcript.pyannote[1039].speaker SPEAKER_04
transcript.pyannote[1039].start 7274.86034375
transcript.pyannote[1039].end 7274.96159375
transcript.pyannote[1040].speaker SPEAKER_22
transcript.pyannote[1040].start 7274.96159375
transcript.pyannote[1040].end 7298.65409375
transcript.pyannote[1041].speaker SPEAKER_27
transcript.pyannote[1041].start 7289.99721875
transcript.pyannote[1041].end 7290.03096875
transcript.pyannote[1042].speaker SPEAKER_23
transcript.pyannote[1042].start 7290.03096875
transcript.pyannote[1042].end 7290.90846875
transcript.pyannote[1043].speaker SPEAKER_23
transcript.pyannote[1043].start 7291.38096875
transcript.pyannote[1043].end 7292.56221875
transcript.pyannote[1044].speaker SPEAKER_23
transcript.pyannote[1044].start 7293.23721875
transcript.pyannote[1044].end 7293.30471875
transcript.pyannote[1045].speaker SPEAKER_28
transcript.pyannote[1045].start 7293.30471875
transcript.pyannote[1045].end 7294.51971875
transcript.pyannote[1046].speaker SPEAKER_23
transcript.pyannote[1046].start 7294.51971875
transcript.pyannote[1046].end 7294.53659375
transcript.pyannote[1047].speaker SPEAKER_22
transcript.pyannote[1047].start 7298.89034375
transcript.pyannote[1047].end 7301.70846875
transcript.pyannote[1048].speaker SPEAKER_16
transcript.pyannote[1048].start 7312.25534375
transcript.pyannote[1048].end 7314.11159375
transcript.pyannote[1049].speaker SPEAKER_16
transcript.pyannote[1049].start 7315.10721875
transcript.pyannote[1049].end 7315.91721875
transcript.pyannote[1050].speaker SPEAKER_27
transcript.pyannote[1050].start 7320.01784375
transcript.pyannote[1050].end 7320.81096875
transcript.pyannote[1051].speaker SPEAKER_16
transcript.pyannote[1051].start 7320.81096875
transcript.pyannote[1051].end 7409.72534375
transcript.pyannote[1052].speaker SPEAKER_16
transcript.pyannote[1052].start 7410.02909375
transcript.pyannote[1052].end 7443.49221875
transcript.pyannote[1053].speaker SPEAKER_24
transcript.pyannote[1053].start 7444.92659375
transcript.pyannote[1053].end 7465.31159375
transcript.pyannote[1054].speaker SPEAKER_00
transcript.pyannote[1054].start 7456.45221875
transcript.pyannote[1054].end 7456.89096875
transcript.pyannote[1055].speaker SPEAKER_28
transcript.pyannote[1055].start 7463.37096875
transcript.pyannote[1055].end 7463.82659375
transcript.pyannote[1056].speaker SPEAKER_24
transcript.pyannote[1056].start 7465.39596875
transcript.pyannote[1056].end 7483.62096875
transcript.pyannote[1057].speaker SPEAKER_24
transcript.pyannote[1057].start 7484.02596875
transcript.pyannote[1057].end 7535.71409375
transcript.pyannote[1058].speaker SPEAKER_28
transcript.pyannote[1058].start 7490.52284375
transcript.pyannote[1058].end 7490.97846875
transcript.pyannote[1059].speaker SPEAKER_00
transcript.pyannote[1059].start 7490.97846875
transcript.pyannote[1059].end 7490.99534375
transcript.pyannote[1060].speaker SPEAKER_00
transcript.pyannote[1060].start 7495.33221875
transcript.pyannote[1060].end 7496.22659375
transcript.pyannote[1061].speaker SPEAKER_28
transcript.pyannote[1061].start 7496.22659375
transcript.pyannote[1061].end 7497.39096875
transcript.pyannote[1062].speaker SPEAKER_00
transcript.pyannote[1062].start 7497.39096875
transcript.pyannote[1062].end 7497.47534375
transcript.pyannote[1063].speaker SPEAKER_00
transcript.pyannote[1063].start 7499.19659375
transcript.pyannote[1063].end 7499.29784375
transcript.pyannote[1064].speaker SPEAKER_28
transcript.pyannote[1064].start 7499.29784375
transcript.pyannote[1064].end 7499.36534375
transcript.pyannote[1065].speaker SPEAKER_00
transcript.pyannote[1065].start 7522.87221875
transcript.pyannote[1065].end 7523.90159375
transcript.pyannote[1066].speaker SPEAKER_16
transcript.pyannote[1066].start 7529.25096875
transcript.pyannote[1066].end 7529.26784375
transcript.pyannote[1067].speaker SPEAKER_16
transcript.pyannote[1067].start 7535.71409375
transcript.pyannote[1067].end 7550.53034375
transcript.pyannote[1068].speaker SPEAKER_24
transcript.pyannote[1068].start 7550.53034375
transcript.pyannote[1068].end 7556.14971875
transcript.pyannote[1069].speaker SPEAKER_16
transcript.pyannote[1069].start 7550.96909375
transcript.pyannote[1069].end 7552.06596875
transcript.pyannote[1070].speaker SPEAKER_16
transcript.pyannote[1070].start 7553.01096875
transcript.pyannote[1070].end 7554.46221875
transcript.pyannote[1071].speaker SPEAKER_16
transcript.pyannote[1071].start 7556.14971875
transcript.pyannote[1071].end 7679.16846875
transcript.pyannote[1072].speaker SPEAKER_16
transcript.pyannote[1072].start 7679.20221875
transcript.pyannote[1072].end 7679.25284375
transcript.pyannote[1073].speaker SPEAKER_24
transcript.pyannote[1073].start 7679.25284375
transcript.pyannote[1073].end 7733.53971875
transcript.pyannote[1074].speaker SPEAKER_16
transcript.pyannote[1074].start 7679.43846875
transcript.pyannote[1074].end 7679.48909375
transcript.pyannote[1075].speaker SPEAKER_16
transcript.pyannote[1075].start 7682.02034375
transcript.pyannote[1075].end 7682.32409375
transcript.pyannote[1076].speaker SPEAKER_16
transcript.pyannote[1076].start 7732.72971875
transcript.pyannote[1076].end 7733.20221875
transcript.pyannote[1077].speaker SPEAKER_16
transcript.pyannote[1077].start 7733.53971875
transcript.pyannote[1077].end 7780.13159375
transcript.pyannote[1078].speaker SPEAKER_00
transcript.pyannote[1078].start 7750.12784375
transcript.pyannote[1078].end 7750.53284375
transcript.pyannote[1079].speaker SPEAKER_28
transcript.pyannote[1079].start 7753.19909375
transcript.pyannote[1079].end 7753.87409375
transcript.pyannote[1080].speaker SPEAKER_04
transcript.pyannote[1080].start 7781.04284375
transcript.pyannote[1080].end 7781.49846875
transcript.pyannote[1081].speaker SPEAKER_04
transcript.pyannote[1081].start 7781.88659375
transcript.pyannote[1081].end 7787.43846875
transcript.pyannote[1082].speaker SPEAKER_16
transcript.pyannote[1082].start 7787.43846875
transcript.pyannote[1082].end 7787.48909375
transcript.pyannote[1083].speaker SPEAKER_04
transcript.pyannote[1083].start 7787.48909375
transcript.pyannote[1083].end 7787.50596875
transcript.pyannote[1084].speaker SPEAKER_16
transcript.pyannote[1084].start 7787.50596875
transcript.pyannote[1084].end 7787.52284375
transcript.pyannote[1085].speaker SPEAKER_04
transcript.pyannote[1085].start 7787.52284375
transcript.pyannote[1085].end 7787.62409375
transcript.pyannote[1086].speaker SPEAKER_16
transcript.pyannote[1086].start 7787.62409375
transcript.pyannote[1086].end 7787.67471875
transcript.pyannote[1087].speaker SPEAKER_04
transcript.pyannote[1087].start 7787.67471875
transcript.pyannote[1087].end 7787.80971875
transcript.pyannote[1088].speaker SPEAKER_16
transcript.pyannote[1088].start 7787.80971875
transcript.pyannote[1088].end 7787.84346875
transcript.pyannote[1089].speaker SPEAKER_04
transcript.pyannote[1089].start 7787.84346875
transcript.pyannote[1089].end 7787.87721875
transcript.pyannote[1090].speaker SPEAKER_16
transcript.pyannote[1090].start 7787.87721875
transcript.pyannote[1090].end 7787.96159375
transcript.pyannote[1091].speaker SPEAKER_04
transcript.pyannote[1091].start 7787.96159375
transcript.pyannote[1091].end 7787.97846875
transcript.pyannote[1092].speaker SPEAKER_16
transcript.pyannote[1092].start 7787.97846875
transcript.pyannote[1092].end 7787.99534375
transcript.pyannote[1093].speaker SPEAKER_04
transcript.pyannote[1093].start 7787.99534375
transcript.pyannote[1093].end 7788.01221875
transcript.pyannote[1094].speaker SPEAKER_16
transcript.pyannote[1094].start 7788.01221875
transcript.pyannote[1094].end 7788.09659375
transcript.pyannote[1095].speaker SPEAKER_04
transcript.pyannote[1095].start 7788.09659375
transcript.pyannote[1095].end 7788.11346875
transcript.pyannote[1096].speaker SPEAKER_16
transcript.pyannote[1096].start 7788.11346875
transcript.pyannote[1096].end 7788.13034375
transcript.pyannote[1097].speaker SPEAKER_04
transcript.pyannote[1097].start 7788.13034375
transcript.pyannote[1097].end 7788.18096875
transcript.pyannote[1098].speaker SPEAKER_16
transcript.pyannote[1098].start 7788.18096875
transcript.pyannote[1098].end 7788.21471875
transcript.pyannote[1099].speaker SPEAKER_04
transcript.pyannote[1099].start 7788.21471875
transcript.pyannote[1099].end 7796.88846875
transcript.pyannote[1100].speaker SPEAKER_16
transcript.pyannote[1100].start 7795.84221875
transcript.pyannote[1100].end 7802.79471875
transcript.pyannote[1101].speaker SPEAKER_04
transcript.pyannote[1101].start 7797.34409375
transcript.pyannote[1101].end 7798.13721875
transcript.pyannote[1102].speaker SPEAKER_04
transcript.pyannote[1102].start 7798.59284375
transcript.pyannote[1102].end 7801.73159375
transcript.pyannote[1103].speaker SPEAKER_04
transcript.pyannote[1103].start 7803.63846875
transcript.pyannote[1103].end 7810.50659375
transcript.pyannote[1104].speaker SPEAKER_04
transcript.pyannote[1104].start 7810.64159375
transcript.pyannote[1104].end 7810.74284375
transcript.pyannote[1105].speaker SPEAKER_16
transcript.pyannote[1105].start 7810.74284375
transcript.pyannote[1105].end 7812.75096875
transcript.pyannote[1106].speaker SPEAKER_04
transcript.pyannote[1106].start 7813.20659375
transcript.pyannote[1106].end 7818.82596875
transcript.pyannote[1107].speaker SPEAKER_16
transcript.pyannote[1107].start 7817.81346875
transcript.pyannote[1107].end 7831.11096875
transcript.pyannote[1108].speaker SPEAKER_04
transcript.pyannote[1108].start 7831.11096875
transcript.pyannote[1108].end 7838.53596875
transcript.pyannote[1109].speaker SPEAKER_22
transcript.pyannote[1109].start 7839.46409375
transcript.pyannote[1109].end 7840.20659375
transcript.pyannote[1110].speaker SPEAKER_22
transcript.pyannote[1110].start 7840.72971875
transcript.pyannote[1110].end 7845.47159375
transcript.pyannote[1111].speaker SPEAKER_22
transcript.pyannote[1111].start 7846.07909375
transcript.pyannote[1111].end 7848.82971875
transcript.pyannote[1112].speaker SPEAKER_28
transcript.pyannote[1112].start 7850.50034375
transcript.pyannote[1112].end 7850.83784375
transcript.pyannote[1113].speaker SPEAKER_32
transcript.pyannote[1113].start 7856.74409375
transcript.pyannote[1113].end 7857.92534375
transcript.pyannote[1114].speaker SPEAKER_32
transcript.pyannote[1114].start 7858.21221875
transcript.pyannote[1114].end 7859.25846875
transcript.pyannote[1115].speaker SPEAKER_22
transcript.pyannote[1115].start 7859.98409375
transcript.pyannote[1115].end 7860.82784375
transcript.pyannote[1116].speaker SPEAKER_32
transcript.pyannote[1116].start 7865.58659375
transcript.pyannote[1116].end 7866.32909375
transcript.pyannote[1117].speaker SPEAKER_32
transcript.pyannote[1117].start 7866.75096875
transcript.pyannote[1117].end 7877.78721875
transcript.pyannote[1118].speaker SPEAKER_24
transcript.pyannote[1118].start 7877.78721875
transcript.pyannote[1118].end 7878.05721875
transcript.pyannote[1119].speaker SPEAKER_32
transcript.pyannote[1119].start 7878.05721875
transcript.pyannote[1119].end 7878.12471875
transcript.pyannote[1120].speaker SPEAKER_32
transcript.pyannote[1120].start 7878.42846875
transcript.pyannote[1120].end 7878.78284375
transcript.pyannote[1121].speaker SPEAKER_32
transcript.pyannote[1121].start 7878.91784375
transcript.pyannote[1121].end 7922.21909375
transcript.pyannote[1122].speaker SPEAKER_32
transcript.pyannote[1122].start 7922.70846875
transcript.pyannote[1122].end 7924.68284375
transcript.pyannote[1123].speaker SPEAKER_32
transcript.pyannote[1123].start 7927.38284375
transcript.pyannote[1123].end 7929.61034375
transcript.pyannote[1124].speaker SPEAKER_24
transcript.pyannote[1124].start 7929.61034375
transcript.pyannote[1124].end 7935.28034375
transcript.pyannote[1125].speaker SPEAKER_32
transcript.pyannote[1125].start 7931.65221875
transcript.pyannote[1125].end 7933.03596875
transcript.pyannote[1126].speaker SPEAKER_06
transcript.pyannote[1126].start 7933.03596875
transcript.pyannote[1126].end 7940.10659375
transcript.pyannote[1127].speaker SPEAKER_32
transcript.pyannote[1127].start 7935.28034375
transcript.pyannote[1127].end 7935.29721875
transcript.pyannote[1128].speaker SPEAKER_32
transcript.pyannote[1128].start 7940.68034375
transcript.pyannote[1128].end 7940.73096875
transcript.pyannote[1129].speaker SPEAKER_06
transcript.pyannote[1129].start 7940.73096875
transcript.pyannote[1129].end 7940.84909375
transcript.pyannote[1130].speaker SPEAKER_32
transcript.pyannote[1130].start 7940.84909375
transcript.pyannote[1130].end 7940.86596875
transcript.pyannote[1131].speaker SPEAKER_06
transcript.pyannote[1131].start 7940.86596875
transcript.pyannote[1131].end 7941.05159375
transcript.pyannote[1132].speaker SPEAKER_32
transcript.pyannote[1132].start 7941.05159375
transcript.pyannote[1132].end 7955.47971875
transcript.pyannote[1133].speaker SPEAKER_06
transcript.pyannote[1133].start 7941.25409375
transcript.pyannote[1133].end 7942.60409375
transcript.pyannote[1134].speaker SPEAKER_06
transcript.pyannote[1134].start 7955.47971875
transcript.pyannote[1134].end 7955.49659375
transcript.pyannote[1135].speaker SPEAKER_06
transcript.pyannote[1135].start 7956.22221875
transcript.pyannote[1135].end 7969.45221875
transcript.pyannote[1136].speaker SPEAKER_32
transcript.pyannote[1136].start 7966.73534375
transcript.pyannote[1136].end 8011.11659375
transcript.pyannote[1137].speaker SPEAKER_32
transcript.pyannote[1137].start 8011.38659375
transcript.pyannote[1137].end 8016.93846875
transcript.pyannote[1138].speaker SPEAKER_26
transcript.pyannote[1138].start 8018.72721875
transcript.pyannote[1138].end 8019.45284375
transcript.pyannote[1139].speaker SPEAKER_32
transcript.pyannote[1139].start 8019.45284375
transcript.pyannote[1139].end 8036.20971875
transcript.pyannote[1140].speaker SPEAKER_32
transcript.pyannote[1140].start 8036.54721875
transcript.pyannote[1140].end 8051.26221875
transcript.pyannote[1141].speaker SPEAKER_32
transcript.pyannote[1141].start 8051.59971875
transcript.pyannote[1141].end 8080.38846875
transcript.pyannote[1142].speaker SPEAKER_32
transcript.pyannote[1142].start 8080.94534375
transcript.pyannote[1142].end 8112.78846875
transcript.pyannote[1143].speaker SPEAKER_24
transcript.pyannote[1143].start 8113.24409375
transcript.pyannote[1143].end 8124.51659375
transcript.pyannote[1144].speaker SPEAKER_06
transcript.pyannote[1144].start 8124.95534375
transcript.pyannote[1144].end 8125.57971875
transcript.pyannote[1145].speaker SPEAKER_06
transcript.pyannote[1145].start 8126.10284375
transcript.pyannote[1145].end 8179.84971875
transcript.pyannote[1146].speaker SPEAKER_00
transcript.pyannote[1146].start 8139.65346875
transcript.pyannote[1146].end 8139.72096875
transcript.pyannote[1147].speaker SPEAKER_00
transcript.pyannote[1147].start 8141.18909375
transcript.pyannote[1147].end 8141.34096875
transcript.pyannote[1148].speaker SPEAKER_32
transcript.pyannote[1148].start 8179.84971875
transcript.pyannote[1148].end 8204.52096875
transcript.pyannote[1149].speaker SPEAKER_32
transcript.pyannote[1149].start 8204.84159375
transcript.pyannote[1149].end 8205.85409375
transcript.pyannote[1150].speaker SPEAKER_32
transcript.pyannote[1150].start 8206.15784375
transcript.pyannote[1150].end 8221.26096875
transcript.pyannote[1151].speaker SPEAKER_28
transcript.pyannote[1151].start 8221.14284375
transcript.pyannote[1151].end 8221.51409375
transcript.pyannote[1152].speaker SPEAKER_32
transcript.pyannote[1152].start 8221.42971875
transcript.pyannote[1152].end 8223.03284375
transcript.pyannote[1153].speaker SPEAKER_32
transcript.pyannote[1153].start 8223.80909375
transcript.pyannote[1153].end 8228.56784375
transcript.pyannote[1154].speaker SPEAKER_32
transcript.pyannote[1154].start 8228.97284375
transcript.pyannote[1154].end 8256.31034375
transcript.pyannote[1155].speaker SPEAKER_32
transcript.pyannote[1155].start 8256.58034375
transcript.pyannote[1155].end 8267.68409375
transcript.pyannote[1156].speaker SPEAKER_32
transcript.pyannote[1156].start 8267.85284375
transcript.pyannote[1156].end 8268.57846875
transcript.pyannote[1157].speaker SPEAKER_32
transcript.pyannote[1157].start 8268.91596875
transcript.pyannote[1157].end 8269.37159375
transcript.pyannote[1158].speaker SPEAKER_32
transcript.pyannote[1158].start 8270.02971875
transcript.pyannote[1158].end 8271.10971875
transcript.pyannote[1159].speaker SPEAKER_32
transcript.pyannote[1159].start 8271.54846875
transcript.pyannote[1159].end 8312.09909375
transcript.pyannote[1160].speaker SPEAKER_22
transcript.pyannote[1160].start 8314.20846875
transcript.pyannote[1160].end 8316.04784375
transcript.pyannote[1161].speaker SPEAKER_24
transcript.pyannote[1161].start 8317.26284375
transcript.pyannote[1161].end 8317.27971875
transcript.pyannote[1162].speaker SPEAKER_06
transcript.pyannote[1162].start 8317.27971875
transcript.pyannote[1162].end 8317.41471875
transcript.pyannote[1163].speaker SPEAKER_24
transcript.pyannote[1163].start 8317.41471875
transcript.pyannote[1163].end 8317.80284375
transcript.pyannote[1164].speaker SPEAKER_06
transcript.pyannote[1164].start 8317.80284375
transcript.pyannote[1164].end 8317.85346875
transcript.pyannote[1165].speaker SPEAKER_24
transcript.pyannote[1165].start 8317.85346875
transcript.pyannote[1165].end 8318.03909375
transcript.pyannote[1166].speaker SPEAKER_06
transcript.pyannote[1166].start 8318.03909375
transcript.pyannote[1166].end 8318.64659375
transcript.pyannote[1167].speaker SPEAKER_24
transcript.pyannote[1167].start 8318.64659375
transcript.pyannote[1167].end 8318.66346875
transcript.pyannote[1168].speaker SPEAKER_06
transcript.pyannote[1168].start 8319.28784375
transcript.pyannote[1168].end 8335.28534375
transcript.pyannote[1169].speaker SPEAKER_32
transcript.pyannote[1169].start 8334.50909375
transcript.pyannote[1169].end 8341.96784375
transcript.pyannote[1170].speaker SPEAKER_06
transcript.pyannote[1170].start 8338.71096875
transcript.pyannote[1170].end 8351.24909375
transcript.pyannote[1171].speaker SPEAKER_32
transcript.pyannote[1171].start 8344.27971875
transcript.pyannote[1171].end 8345.35971875
transcript.pyannote[1172].speaker SPEAKER_32
transcript.pyannote[1172].start 8351.56971875
transcript.pyannote[1172].end 8360.05784375
transcript.pyannote[1173].speaker SPEAKER_06
transcript.pyannote[1173].start 8360.05784375
transcript.pyannote[1173].end 8367.80346875
transcript.pyannote[1174].speaker SPEAKER_32
transcript.pyannote[1174].start 8366.94284375
transcript.pyannote[1174].end 8389.15034375
transcript.pyannote[1175].speaker SPEAKER_24
transcript.pyannote[1175].start 8389.26846875
transcript.pyannote[1175].end 8389.87596875
transcript.pyannote[1176].speaker SPEAKER_24
transcript.pyannote[1176].start 8390.63534375
transcript.pyannote[1176].end 8398.90409375
transcript.pyannote[1177].speaker SPEAKER_24
transcript.pyannote[1177].start 8399.07284375
transcript.pyannote[1177].end 8399.08971875
transcript.pyannote[1178].speaker SPEAKER_32
transcript.pyannote[1178].start 8399.08971875
transcript.pyannote[1178].end 8403.30846875
transcript.pyannote[1179].speaker SPEAKER_24
transcript.pyannote[1179].start 8402.14409375
transcript.pyannote[1179].end 8407.47659375
transcript.pyannote[1180].speaker SPEAKER_32
transcript.pyannote[1180].start 8404.97909375
transcript.pyannote[1180].end 8417.48346875
transcript.pyannote[1181].speaker SPEAKER_24
transcript.pyannote[1181].start 8413.09596875
transcript.pyannote[1181].end 8413.39971875
transcript.pyannote[1182].speaker SPEAKER_24
transcript.pyannote[1182].start 8413.46721875
transcript.pyannote[1182].end 8413.50096875
transcript.pyannote[1183].speaker SPEAKER_24
transcript.pyannote[1183].start 8413.53471875
transcript.pyannote[1183].end 8413.97346875
transcript.pyannote[1184].speaker SPEAKER_24
transcript.pyannote[1184].start 8416.69034375
transcript.pyannote[1184].end 8416.79159375
transcript.pyannote[1185].speaker SPEAKER_22
transcript.pyannote[1185].start 8417.19659375
transcript.pyannote[1185].end 8419.49159375
transcript.pyannote[1186].speaker SPEAKER_22
transcript.pyannote[1186].start 8419.72784375
transcript.pyannote[1186].end 8431.23659375
transcript.pyannote[1187].speaker SPEAKER_22
transcript.pyannote[1187].start 8431.48971875
transcript.pyannote[1187].end 8445.83346875
transcript.pyannote[1188].speaker SPEAKER_22
transcript.pyannote[1188].start 8445.88409375
transcript.pyannote[1188].end 8448.34784375
transcript.pyannote[1189].speaker SPEAKER_11
transcript.pyannote[1189].start 8458.87784375
transcript.pyannote[1189].end 8464.09221875
transcript.pyannote[1190].speaker SPEAKER_22
transcript.pyannote[1190].start 8464.56471875
transcript.pyannote[1190].end 8465.71221875
transcript.pyannote[1191].speaker SPEAKER_11
transcript.pyannote[1191].start 8470.90971875
transcript.pyannote[1191].end 8559.65534375
transcript.pyannote[1192].speaker SPEAKER_11
transcript.pyannote[1192].start 8559.89159375
transcript.pyannote[1192].end 8568.39659375
transcript.pyannote[1193].speaker SPEAKER_11
transcript.pyannote[1193].start 8569.27409375
transcript.pyannote[1193].end 8573.32409375
transcript.pyannote[1194].speaker SPEAKER_24
transcript.pyannote[1194].start 8573.32409375
transcript.pyannote[1194].end 8606.97284375
transcript.pyannote[1195].speaker SPEAKER_11
transcript.pyannote[1195].start 8606.97284375
transcript.pyannote[1195].end 8625.38346875
transcript.pyannote[1196].speaker SPEAKER_11
transcript.pyannote[1196].start 8625.67034375
transcript.pyannote[1196].end 8662.55909375
transcript.pyannote[1197].speaker SPEAKER_13
transcript.pyannote[1197].start 8666.96346875
transcript.pyannote[1197].end 8671.09784375
transcript.pyannote[1198].speaker SPEAKER_13
transcript.pyannote[1198].start 8671.40159375
transcript.pyannote[1198].end 8703.93659375
transcript.pyannote[1199].speaker SPEAKER_13
transcript.pyannote[1199].start 8704.25721875
transcript.pyannote[1199].end 8716.18784375
transcript.pyannote[1200].speaker SPEAKER_11
transcript.pyannote[1200].start 8712.49221875
transcript.pyannote[1200].end 8713.16721875
transcript.pyannote[1201].speaker SPEAKER_11
transcript.pyannote[1201].start 8714.56784375
transcript.pyannote[1201].end 8728.89471875
transcript.pyannote[1202].speaker SPEAKER_13
transcript.pyannote[1202].start 8717.20034375
transcript.pyannote[1202].end 8717.97659375
transcript.pyannote[1203].speaker SPEAKER_11
transcript.pyannote[1203].start 8729.63721875
transcript.pyannote[1203].end 8804.25846875
transcript.pyannote[1204].speaker SPEAKER_13
transcript.pyannote[1204].start 8804.27534375
transcript.pyannote[1204].end 8826.39846875
transcript.pyannote[1205].speaker SPEAKER_13
transcript.pyannote[1205].start 8826.60096875
transcript.pyannote[1205].end 8831.74784375
transcript.pyannote[1206].speaker SPEAKER_26
transcript.pyannote[1206].start 8829.55409375
transcript.pyannote[1206].end 8830.19534375
transcript.pyannote[1207].speaker SPEAKER_14
transcript.pyannote[1207].start 8830.19534375
transcript.pyannote[1207].end 8830.22909375
transcript.pyannote[1208].speaker SPEAKER_13
transcript.pyannote[1208].start 8832.28784375
transcript.pyannote[1208].end 8836.72596875
transcript.pyannote[1209].speaker SPEAKER_11
transcript.pyannote[1209].start 8836.92846875
transcript.pyannote[1209].end 8843.45909375
transcript.pyannote[1210].speaker SPEAKER_13
transcript.pyannote[1210].start 8841.92346875
transcript.pyannote[1210].end 8864.18159375
transcript.pyannote[1211].speaker SPEAKER_13
transcript.pyannote[1211].start 8864.43471875
transcript.pyannote[1211].end 8866.03784375
transcript.pyannote[1212].speaker SPEAKER_24
transcript.pyannote[1212].start 8864.55284375
transcript.pyannote[1212].end 8872.18034375
transcript.pyannote[1213].speaker SPEAKER_24
transcript.pyannote[1213].start 8872.55159375
transcript.pyannote[1213].end 8898.25221875
transcript.pyannote[1214].speaker SPEAKER_24
transcript.pyannote[1214].start 8898.57284375
transcript.pyannote[1214].end 8908.59659375
transcript.pyannote[1215].speaker SPEAKER_11
transcript.pyannote[1215].start 8907.93846875
transcript.pyannote[1215].end 8908.52909375
transcript.pyannote[1216].speaker SPEAKER_11
transcript.pyannote[1216].start 8908.59659375
transcript.pyannote[1216].end 8908.61346875
transcript.pyannote[1217].speaker SPEAKER_24
transcript.pyannote[1217].start 8908.61346875
transcript.pyannote[1217].end 8908.63034375
transcript.pyannote[1218].speaker SPEAKER_11
transcript.pyannote[1218].start 8908.63034375
transcript.pyannote[1218].end 8945.60346875
transcript.pyannote[1219].speaker SPEAKER_11
transcript.pyannote[1219].start 8945.97471875
transcript.pyannote[1219].end 8950.42971875
transcript.pyannote[1220].speaker SPEAKER_24
transcript.pyannote[1220].start 8952.82596875
transcript.pyannote[1220].end 8953.07909375
transcript.pyannote[1221].speaker SPEAKER_24
transcript.pyannote[1221].start 8953.29846875
transcript.pyannote[1221].end 8962.02284375
transcript.pyannote[1222].speaker SPEAKER_24
transcript.pyannote[1222].start 8962.51221875
transcript.pyannote[1222].end 8969.05971875
transcript.pyannote[1223].speaker SPEAKER_24
transcript.pyannote[1223].start 8969.81909375
transcript.pyannote[1223].end 8987.55471875
transcript.pyannote[1224].speaker SPEAKER_11
transcript.pyannote[1224].start 8979.25221875
transcript.pyannote[1224].end 8979.53909375
transcript.pyannote[1225].speaker SPEAKER_24
transcript.pyannote[1225].start 8988.55034375
transcript.pyannote[1225].end 8988.97221875
transcript.pyannote[1226].speaker SPEAKER_11
transcript.pyannote[1226].start 8988.97221875
transcript.pyannote[1226].end 9003.51846875
transcript.pyannote[1227].speaker SPEAKER_12
transcript.pyannote[1227].start 9005.61096875
transcript.pyannote[1227].end 9016.39409375
transcript.pyannote[1228].speaker SPEAKER_12
transcript.pyannote[1228].start 9016.69784375
transcript.pyannote[1228].end 9025.18596875
transcript.pyannote[1229].speaker SPEAKER_12
transcript.pyannote[1229].start 9025.45596875
transcript.pyannote[1229].end 9037.79159375
transcript.pyannote[1230].speaker SPEAKER_12
transcript.pyannote[1230].start 9038.31471875
transcript.pyannote[1230].end 9040.42409375
transcript.pyannote[1231].speaker SPEAKER_11
transcript.pyannote[1231].start 9041.11596875
transcript.pyannote[1231].end 9044.18721875
transcript.pyannote[1232].speaker SPEAKER_22
transcript.pyannote[1232].start 9044.38971875
transcript.pyannote[1232].end 9048.00096875
transcript.pyannote[1233].speaker SPEAKER_22
transcript.pyannote[1233].start 9048.70971875
transcript.pyannote[1233].end 9051.29159375
transcript.pyannote[1234].speaker SPEAKER_34
transcript.pyannote[1234].start 9058.78409375
transcript.pyannote[1234].end 9060.96096875
transcript.pyannote[1235].speaker SPEAKER_22
transcript.pyannote[1235].start 9061.39971875
transcript.pyannote[1235].end 9062.53034375
transcript.pyannote[1236].speaker SPEAKER_34
transcript.pyannote[1236].start 9067.06971875
transcript.pyannote[1236].end 9068.33534375
transcript.pyannote[1237].speaker SPEAKER_27
transcript.pyannote[1237].start 9067.91346875
transcript.pyannote[1237].end 9067.94721875
transcript.pyannote[1238].speaker SPEAKER_34
transcript.pyannote[1238].start 9068.89221875
transcript.pyannote[1238].end 9075.25409375
transcript.pyannote[1239].speaker SPEAKER_24
transcript.pyannote[1239].start 9075.79409375
transcript.pyannote[1239].end 9076.46909375
transcript.pyannote[1240].speaker SPEAKER_24
transcript.pyannote[1240].start 9077.26221875
transcript.pyannote[1240].end 9080.35034375
transcript.pyannote[1241].speaker SPEAKER_34
transcript.pyannote[1241].start 9079.23659375
transcript.pyannote[1241].end 9079.37159375
transcript.pyannote[1242].speaker SPEAKER_34
transcript.pyannote[1242].start 9079.62471875
transcript.pyannote[1242].end 9086.29034375
transcript.pyannote[1243].speaker SPEAKER_24
transcript.pyannote[1243].start 9081.43034375
transcript.pyannote[1243].end 9082.15596875
transcript.pyannote[1244].speaker SPEAKER_34
transcript.pyannote[1244].start 9086.64471875
transcript.pyannote[1244].end 9100.19534375
transcript.pyannote[1245].speaker SPEAKER_34
transcript.pyannote[1245].start 9100.48221875
transcript.pyannote[1245].end 9101.25846875
transcript.pyannote[1246].speaker SPEAKER_34
transcript.pyannote[1246].start 9101.78159375
transcript.pyannote[1246].end 9105.42659375
transcript.pyannote[1247].speaker SPEAKER_24
transcript.pyannote[1247].start 9108.29534375
transcript.pyannote[1247].end 9112.51409375
transcript.pyannote[1248].speaker SPEAKER_34
transcript.pyannote[1248].start 9112.56471875
transcript.pyannote[1248].end 9117.84659375
transcript.pyannote[1249].speaker SPEAKER_24
transcript.pyannote[1249].start 9118.09971875
transcript.pyannote[1249].end 9122.03159375
transcript.pyannote[1250].speaker SPEAKER_34
transcript.pyannote[1250].start 9122.35221875
transcript.pyannote[1250].end 9126.48659375
transcript.pyannote[1251].speaker SPEAKER_34
transcript.pyannote[1251].start 9127.02659375
transcript.pyannote[1251].end 9129.00096875
transcript.pyannote[1252].speaker SPEAKER_24
transcript.pyannote[1252].start 9127.38096875
transcript.pyannote[1252].end 9127.73534375
transcript.pyannote[1253].speaker SPEAKER_24
transcript.pyannote[1253].start 9128.81534375
transcript.pyannote[1253].end 9136.91534375
transcript.pyannote[1254].speaker SPEAKER_34
transcript.pyannote[1254].start 9135.93659375
transcript.pyannote[1254].end 9136.40909375
transcript.pyannote[1255].speaker SPEAKER_34
transcript.pyannote[1255].start 9136.91534375
transcript.pyannote[1255].end 9139.19346875
transcript.pyannote[1256].speaker SPEAKER_34
transcript.pyannote[1256].start 9139.48034375
transcript.pyannote[1256].end 9215.97471875
transcript.pyannote[1257].speaker SPEAKER_34
transcript.pyannote[1257].start 9216.27846875
transcript.pyannote[1257].end 9220.42971875
transcript.pyannote[1258].speaker SPEAKER_34
transcript.pyannote[1258].start 9220.51409375
transcript.pyannote[1258].end 9226.13346875
transcript.pyannote[1259].speaker SPEAKER_34
transcript.pyannote[1259].start 9226.74096875
transcript.pyannote[1259].end 9228.76596875
transcript.pyannote[1260].speaker SPEAKER_34
transcript.pyannote[1260].start 9229.27221875
transcript.pyannote[1260].end 9254.48346875
transcript.pyannote[1261].speaker SPEAKER_34
transcript.pyannote[1261].start 9255.10784375
transcript.pyannote[1261].end 9257.11596875
transcript.pyannote[1262].speaker SPEAKER_34
transcript.pyannote[1262].start 9257.63909375
transcript.pyannote[1262].end 9285.07784375
transcript.pyannote[1263].speaker SPEAKER_24
transcript.pyannote[1263].start 9284.74034375
transcript.pyannote[1263].end 9291.38909375
transcript.pyannote[1264].speaker SPEAKER_24
transcript.pyannote[1264].start 9291.49034375
transcript.pyannote[1264].end 9294.66284375
transcript.pyannote[1265].speaker SPEAKER_24
transcript.pyannote[1265].start 9294.73034375
transcript.pyannote[1265].end 9333.61034375
transcript.pyannote[1266].speaker SPEAKER_25
transcript.pyannote[1266].start 9311.79096875
transcript.pyannote[1266].end 9311.97659375
transcript.pyannote[1267].speaker SPEAKER_00
transcript.pyannote[1267].start 9311.97659375
transcript.pyannote[1267].end 9312.11159375
transcript.pyannote[1268].speaker SPEAKER_28
transcript.pyannote[1268].start 9318.05159375
transcript.pyannote[1268].end 9318.06846875
transcript.pyannote[1269].speaker SPEAKER_27
transcript.pyannote[1269].start 9318.06846875
transcript.pyannote[1269].end 9318.45659375
transcript.pyannote[1270].speaker SPEAKER_28
transcript.pyannote[1270].start 9318.45659375
transcript.pyannote[1270].end 9318.47346875
transcript.pyannote[1271].speaker SPEAKER_00
transcript.pyannote[1271].start 9318.47346875
transcript.pyannote[1271].end 9318.50721875
transcript.pyannote[1272].speaker SPEAKER_34
transcript.pyannote[1272].start 9333.76221875
transcript.pyannote[1272].end 9363.64784375
transcript.pyannote[1273].speaker SPEAKER_34
transcript.pyannote[1273].start 9364.20471875
transcript.pyannote[1273].end 9376.03409375
transcript.pyannote[1274].speaker SPEAKER_24
transcript.pyannote[1274].start 9376.62471875
transcript.pyannote[1274].end 9389.73659375
transcript.pyannote[1275].speaker SPEAKER_34
transcript.pyannote[1275].start 9388.13346875
transcript.pyannote[1275].end 9388.35284375
transcript.pyannote[1276].speaker SPEAKER_34
transcript.pyannote[1276].start 9388.60596875
transcript.pyannote[1276].end 9431.73846875
transcript.pyannote[1277].speaker SPEAKER_13
transcript.pyannote[1277].start 9399.38909375
transcript.pyannote[1277].end 9400.23284375
transcript.pyannote[1278].speaker SPEAKER_34
transcript.pyannote[1278].start 9432.21096875
transcript.pyannote[1278].end 9435.38346875
transcript.pyannote[1279].speaker SPEAKER_34
transcript.pyannote[1279].start 9435.87284375
transcript.pyannote[1279].end 9438.62346875
transcript.pyannote[1280].speaker SPEAKER_34
transcript.pyannote[1280].start 9438.96096875
transcript.pyannote[1280].end 9440.09159375
transcript.pyannote[1281].speaker SPEAKER_34
transcript.pyannote[1281].start 9440.68221875
transcript.pyannote[1281].end 9464.69534375
transcript.pyannote[1282].speaker SPEAKER_34
transcript.pyannote[1282].start 9465.15096875
transcript.pyannote[1282].end 9471.76596875
transcript.pyannote[1283].speaker SPEAKER_34
transcript.pyannote[1283].start 9472.06971875
transcript.pyannote[1283].end 9485.11409375
transcript.pyannote[1284].speaker SPEAKER_34
transcript.pyannote[1284].start 9485.62034375
transcript.pyannote[1284].end 9495.49221875
transcript.pyannote[1285].speaker SPEAKER_34
transcript.pyannote[1285].start 9496.53846875
transcript.pyannote[1285].end 9496.97721875
transcript.pyannote[1286].speaker SPEAKER_27
transcript.pyannote[1286].start 9496.97721875
transcript.pyannote[1286].end 9497.02784375
transcript.pyannote[1287].speaker SPEAKER_34
transcript.pyannote[1287].start 9497.02784375
transcript.pyannote[1287].end 9498.22596875
transcript.pyannote[1288].speaker SPEAKER_34
transcript.pyannote[1288].start 9498.47909375
transcript.pyannote[1288].end 9503.59221875
transcript.pyannote[1289].speaker SPEAKER_27
transcript.pyannote[1289].start 9499.50846875
transcript.pyannote[1289].end 9499.96409375
transcript.pyannote[1290].speaker SPEAKER_24
transcript.pyannote[1290].start 9499.96409375
transcript.pyannote[1290].end 9500.48721875
transcript.pyannote[1291].speaker SPEAKER_24
transcript.pyannote[1291].start 9500.55471875
transcript.pyannote[1291].end 9501.01034375
transcript.pyannote[1292].speaker SPEAKER_28
transcript.pyannote[1292].start 9501.01034375
transcript.pyannote[1292].end 9501.02721875
transcript.pyannote[1293].speaker SPEAKER_24
transcript.pyannote[1293].start 9501.02721875
transcript.pyannote[1293].end 9501.04409375
transcript.pyannote[1294].speaker SPEAKER_28
transcript.pyannote[1294].start 9501.04409375
transcript.pyannote[1294].end 9501.06096875
transcript.pyannote[1295].speaker SPEAKER_34
transcript.pyannote[1295].start 9503.92971875
transcript.pyannote[1295].end 9504.31784375
transcript.pyannote[1296].speaker SPEAKER_34
transcript.pyannote[1296].start 9504.75659375
transcript.pyannote[1296].end 9504.89159375
transcript.pyannote[1297].speaker SPEAKER_28
transcript.pyannote[1297].start 9504.89159375
transcript.pyannote[1297].end 9505.04346875
transcript.pyannote[1298].speaker SPEAKER_24
transcript.pyannote[1298].start 9505.04346875
transcript.pyannote[1298].end 9505.14471875
transcript.pyannote[1299].speaker SPEAKER_28
transcript.pyannote[1299].start 9505.14471875
transcript.pyannote[1299].end 9505.16159375
transcript.pyannote[1300].speaker SPEAKER_24
transcript.pyannote[1300].start 9505.16159375
transcript.pyannote[1300].end 9505.22909375
transcript.pyannote[1301].speaker SPEAKER_24
transcript.pyannote[1301].start 9506.19096875
transcript.pyannote[1301].end 9508.85721875
transcript.pyannote[1302].speaker SPEAKER_34
transcript.pyannote[1302].start 9508.11471875
transcript.pyannote[1302].end 9508.58721875
transcript.pyannote[1303].speaker SPEAKER_34
transcript.pyannote[1303].start 9508.85721875
transcript.pyannote[1303].end 9508.90784375
transcript.pyannote[1304].speaker SPEAKER_24
transcript.pyannote[1304].start 9508.90784375
transcript.pyannote[1304].end 9523.57221875
transcript.pyannote[1305].speaker SPEAKER_34
transcript.pyannote[1305].start 9522.62721875
transcript.pyannote[1305].end 9523.96034375
transcript.pyannote[1306].speaker SPEAKER_24
transcript.pyannote[1306].start 9523.96034375
transcript.pyannote[1306].end 9553.01909375
transcript.pyannote[1307].speaker SPEAKER_34
transcript.pyannote[1307].start 9531.04784375
transcript.pyannote[1307].end 9532.87034375
transcript.pyannote[1308].speaker SPEAKER_34
transcript.pyannote[1308].start 9548.22659375
transcript.pyannote[1308].end 9549.98159375
transcript.pyannote[1309].speaker SPEAKER_34
transcript.pyannote[1309].start 9551.88846875
transcript.pyannote[1309].end 9582.02721875
transcript.pyannote[1310].speaker SPEAKER_24
transcript.pyannote[1310].start 9582.02721875
transcript.pyannote[1310].end 9594.63284375
transcript.pyannote[1311].speaker SPEAKER_34
transcript.pyannote[1311].start 9582.09471875
transcript.pyannote[1311].end 9584.50784375
transcript.pyannote[1312].speaker SPEAKER_34
transcript.pyannote[1312].start 9594.37971875
transcript.pyannote[1312].end 9611.03534375
transcript.pyannote[1313].speaker SPEAKER_24
transcript.pyannote[1313].start 9611.03534375
transcript.pyannote[1313].end 9612.38534375
transcript.pyannote[1314].speaker SPEAKER_34
transcript.pyannote[1314].start 9612.38534375
transcript.pyannote[1314].end 9614.25846875
transcript.pyannote[1315].speaker SPEAKER_24
transcript.pyannote[1315].start 9613.61721875
transcript.pyannote[1315].end 9613.97159375
transcript.pyannote[1316].speaker SPEAKER_24
transcript.pyannote[1316].start 9614.25846875
transcript.pyannote[1316].end 9614.27534375
transcript.pyannote[1317].speaker SPEAKER_34
transcript.pyannote[1317].start 9614.27534375
transcript.pyannote[1317].end 9614.29221875
transcript.pyannote[1318].speaker SPEAKER_22
transcript.pyannote[1318].start 9616.38471875
transcript.pyannote[1318].end 9620.55284375
transcript.pyannote[1319].speaker SPEAKER_22
transcript.pyannote[1319].start 9620.62034375
transcript.pyannote[1319].end 9629.90159375
transcript.pyannote[1320].speaker SPEAKER_22
transcript.pyannote[1320].start 9630.15471875
transcript.pyannote[1320].end 9634.23846875
transcript.pyannote[1321].speaker SPEAKER_22
transcript.pyannote[1321].start 9634.45784375
transcript.pyannote[1321].end 9635.84159375
transcript.pyannote[1322].speaker SPEAKER_22
transcript.pyannote[1322].start 9636.90471875
transcript.pyannote[1322].end 9639.73971875
transcript.pyannote[1323].speaker SPEAKER_28
transcript.pyannote[1323].start 9642.96284375
transcript.pyannote[1323].end 9643.03034375
transcript.pyannote[1324].speaker SPEAKER_28
transcript.pyannote[1324].start 9643.58721875
transcript.pyannote[1324].end 9644.19471875
transcript.pyannote[1325].speaker SPEAKER_28
transcript.pyannote[1325].start 9644.97096875
transcript.pyannote[1325].end 9645.03846875
transcript.pyannote[1326].speaker SPEAKER_01
transcript.pyannote[1326].start 9647.48534375
transcript.pyannote[1326].end 9655.45034375
transcript.pyannote[1327].speaker SPEAKER_22
transcript.pyannote[1327].start 9654.64034375
transcript.pyannote[1327].end 9658.47096875
transcript.pyannote[1328].speaker SPEAKER_01
transcript.pyannote[1328].start 9656.54721875
transcript.pyannote[1328].end 9657.01971875
transcript.pyannote[1329].speaker SPEAKER_07
transcript.pyannote[1329].start 9659.16284375
transcript.pyannote[1329].end 9659.82096875
transcript.pyannote[1330].speaker SPEAKER_07
transcript.pyannote[1330].start 9659.88846875
transcript.pyannote[1330].end 9662.03159375
transcript.pyannote[1331].speaker SPEAKER_07
transcript.pyannote[1331].start 9662.33534375
transcript.pyannote[1331].end 9663.55034375
transcript.pyannote[1332].speaker SPEAKER_07
transcript.pyannote[1332].start 9664.42784375
transcript.pyannote[1332].end 9666.08159375
transcript.pyannote[1333].speaker SPEAKER_24
transcript.pyannote[1333].start 9666.70596875
transcript.pyannote[1333].end 9670.14846875
transcript.pyannote[1334].speaker SPEAKER_07
transcript.pyannote[1334].start 9668.25846875
transcript.pyannote[1334].end 9668.37659375
transcript.pyannote[1335].speaker SPEAKER_07
transcript.pyannote[1335].start 9670.14846875
transcript.pyannote[1335].end 9671.04284375
transcript.pyannote[1336].speaker SPEAKER_24
transcript.pyannote[1336].start 9671.24534375
transcript.pyannote[1336].end 9671.58284375
transcript.pyannote[1337].speaker SPEAKER_07
transcript.pyannote[1337].start 9671.58284375
transcript.pyannote[1337].end 9679.12596875
transcript.pyannote[1338].speaker SPEAKER_24
transcript.pyannote[1338].start 9678.67034375
transcript.pyannote[1338].end 9679.56471875
transcript.pyannote[1339].speaker SPEAKER_07
transcript.pyannote[1339].start 9679.64909375
transcript.pyannote[1339].end 9684.99846875
transcript.pyannote[1340].speaker SPEAKER_07
transcript.pyannote[1340].start 9685.57221875
transcript.pyannote[1340].end 9690.63471875
transcript.pyannote[1341].speaker SPEAKER_04
transcript.pyannote[1341].start 9688.05284375
transcript.pyannote[1341].end 9689.13284375
transcript.pyannote[1342].speaker SPEAKER_07
transcript.pyannote[1342].start 9690.92159375
transcript.pyannote[1342].end 9693.38534375
transcript.pyannote[1343].speaker SPEAKER_04
transcript.pyannote[1343].start 9693.38534375
transcript.pyannote[1343].end 9693.40221875
transcript.pyannote[1344].speaker SPEAKER_04
transcript.pyannote[1344].start 9693.80721875
transcript.pyannote[1344].end 9698.44784375
transcript.pyannote[1345].speaker SPEAKER_07
transcript.pyannote[1345].start 9697.41846875
transcript.pyannote[1345].end 9699.22409375
transcript.pyannote[1346].speaker SPEAKER_04
transcript.pyannote[1346].start 9698.59971875
transcript.pyannote[1346].end 9704.53971875
transcript.pyannote[1347].speaker SPEAKER_04
transcript.pyannote[1347].start 9704.55659375
transcript.pyannote[1347].end 9704.57346875
transcript.pyannote[1348].speaker SPEAKER_07
transcript.pyannote[1348].start 9704.57346875
transcript.pyannote[1348].end 9708.38721875
transcript.pyannote[1349].speaker SPEAKER_04
transcript.pyannote[1349].start 9709.51784375
transcript.pyannote[1349].end 9709.66971875
transcript.pyannote[1350].speaker SPEAKER_07
transcript.pyannote[1350].start 9709.90596875
transcript.pyannote[1350].end 9713.70284375
transcript.pyannote[1351].speaker SPEAKER_04
transcript.pyannote[1351].start 9713.75346875
transcript.pyannote[1351].end 9717.38159375
transcript.pyannote[1352].speaker SPEAKER_07
transcript.pyannote[1352].start 9715.13721875
transcript.pyannote[1352].end 9715.98096875
transcript.pyannote[1353].speaker SPEAKER_04
transcript.pyannote[1353].start 9718.05659375
transcript.pyannote[1353].end 9718.73159375
transcript.pyannote[1354].speaker SPEAKER_04
transcript.pyannote[1354].start 9719.10284375
transcript.pyannote[1354].end 9719.55846875
transcript.pyannote[1355].speaker SPEAKER_07
transcript.pyannote[1355].start 9719.45721875
transcript.pyannote[1355].end 9720.85784375
transcript.pyannote[1356].speaker SPEAKER_07
transcript.pyannote[1356].start 9721.46534375
transcript.pyannote[1356].end 9727.77659375
transcript.pyannote[1357].speaker SPEAKER_07
transcript.pyannote[1357].start 9728.31659375
transcript.pyannote[1357].end 9731.16846875
transcript.pyannote[1358].speaker SPEAKER_07
transcript.pyannote[1358].start 9731.57346875
transcript.pyannote[1358].end 9736.87221875
transcript.pyannote[1359].speaker SPEAKER_07
transcript.pyannote[1359].start 9737.22659375
transcript.pyannote[1359].end 9738.35721875
transcript.pyannote[1360].speaker SPEAKER_07
transcript.pyannote[1360].start 9738.94784375
transcript.pyannote[1360].end 9742.72784375
transcript.pyannote[1361].speaker SPEAKER_07
transcript.pyannote[1361].start 9743.21721875
transcript.pyannote[1361].end 9782.65409375
transcript.pyannote[1362].speaker SPEAKER_00
transcript.pyannote[1362].start 9750.69284375
transcript.pyannote[1362].end 9752.00909375
transcript.pyannote[1363].speaker SPEAKER_07
transcript.pyannote[1363].start 9782.68784375
transcript.pyannote[1363].end 9782.70471875
transcript.pyannote[1364].speaker SPEAKER_04
transcript.pyannote[1364].start 9782.70471875
transcript.pyannote[1364].end 9782.94096875
transcript.pyannote[1365].speaker SPEAKER_07
transcript.pyannote[1365].start 9782.94096875
transcript.pyannote[1365].end 9783.02534375
transcript.pyannote[1366].speaker SPEAKER_04
transcript.pyannote[1366].start 9783.02534375
transcript.pyannote[1366].end 9790.41659375
transcript.pyannote[1367].speaker SPEAKER_07
transcript.pyannote[1367].start 9789.57284375
transcript.pyannote[1367].end 9791.71596875
transcript.pyannote[1368].speaker SPEAKER_04
transcript.pyannote[1368].start 9791.14221875
transcript.pyannote[1368].end 9797.47034375
transcript.pyannote[1369].speaker SPEAKER_07
transcript.pyannote[1369].start 9794.11221875
transcript.pyannote[1369].end 9795.09096875
transcript.pyannote[1370].speaker SPEAKER_07
transcript.pyannote[1370].start 9797.55471875
transcript.pyannote[1370].end 9799.68096875
transcript.pyannote[1371].speaker SPEAKER_07
transcript.pyannote[1371].start 9799.83284375
transcript.pyannote[1371].end 9812.08409375
transcript.pyannote[1372].speaker SPEAKER_07
transcript.pyannote[1372].start 9812.84346875
transcript.pyannote[1372].end 9815.88096875
transcript.pyannote[1373].speaker SPEAKER_07
transcript.pyannote[1373].start 9816.23534375
transcript.pyannote[1373].end 9828.23346875
transcript.pyannote[1374].speaker SPEAKER_07
transcript.pyannote[1374].start 9828.89159375
transcript.pyannote[1374].end 9830.47784375
transcript.pyannote[1375].speaker SPEAKER_07
transcript.pyannote[1375].start 9831.11909375
transcript.pyannote[1375].end 9834.56159375
transcript.pyannote[1376].speaker SPEAKER_07
transcript.pyannote[1376].start 9835.18596875
transcript.pyannote[1376].end 9836.43471875
transcript.pyannote[1377].speaker SPEAKER_07
transcript.pyannote[1377].start 9836.94096875
transcript.pyannote[1377].end 9837.61596875
transcript.pyannote[1378].speaker SPEAKER_07
transcript.pyannote[1378].start 9838.45971875
transcript.pyannote[1378].end 9840.78846875
transcript.pyannote[1379].speaker SPEAKER_07
transcript.pyannote[1379].start 9841.53096875
transcript.pyannote[1379].end 9842.71221875
transcript.pyannote[1380].speaker SPEAKER_07
transcript.pyannote[1380].start 9843.16784375
transcript.pyannote[1380].end 9862.16909375
transcript.pyannote[1381].speaker SPEAKER_07
transcript.pyannote[1381].start 9862.45596875
transcript.pyannote[1381].end 9865.24034375
transcript.pyannote[1382].speaker SPEAKER_07
transcript.pyannote[1382].start 9865.59471875
transcript.pyannote[1382].end 9868.75034375
transcript.pyannote[1383].speaker SPEAKER_07
transcript.pyannote[1383].start 9869.22284375
transcript.pyannote[1383].end 9869.83034375
transcript.pyannote[1384].speaker SPEAKER_07
transcript.pyannote[1384].start 9870.50534375
transcript.pyannote[1384].end 9872.07471875
transcript.pyannote[1385].speaker SPEAKER_07
transcript.pyannote[1385].start 9872.36159375
transcript.pyannote[1385].end 9875.88846875
transcript.pyannote[1386].speaker SPEAKER_07
transcript.pyannote[1386].start 9876.12471875
transcript.pyannote[1386].end 9877.74471875
transcript.pyannote[1387].speaker SPEAKER_07
transcript.pyannote[1387].start 9878.30159375
transcript.pyannote[1387].end 9878.60534375
transcript.pyannote[1388].speaker SPEAKER_07
transcript.pyannote[1388].start 9878.90909375
transcript.pyannote[1388].end 9879.19596875
transcript.pyannote[1389].speaker SPEAKER_07
transcript.pyannote[1389].start 9879.66846875
transcript.pyannote[1389].end 9881.32221875
transcript.pyannote[1390].speaker SPEAKER_07
transcript.pyannote[1390].start 9881.72721875
transcript.pyannote[1390].end 9883.58346875
transcript.pyannote[1391].speaker SPEAKER_07
transcript.pyannote[1391].start 9884.98409375
transcript.pyannote[1391].end 9888.93284375
transcript.pyannote[1392].speaker SPEAKER_07
transcript.pyannote[1392].start 9889.54034375
transcript.pyannote[1392].end 9894.40034375
transcript.pyannote[1393].speaker SPEAKER_07
transcript.pyannote[1393].start 9894.51846875
transcript.pyannote[1393].end 9901.80846875
transcript.pyannote[1394].speaker SPEAKER_07
transcript.pyannote[1394].start 9902.23034375
transcript.pyannote[1394].end 9904.37346875
transcript.pyannote[1395].speaker SPEAKER_07
transcript.pyannote[1395].start 9904.94721875
transcript.pyannote[1395].end 9909.21659375
transcript.pyannote[1396].speaker SPEAKER_07
transcript.pyannote[1396].start 9909.55409375
transcript.pyannote[1396].end 9910.00971875
transcript.pyannote[1397].speaker SPEAKER_07
transcript.pyannote[1397].start 9910.31346875
transcript.pyannote[1397].end 9911.07284375
transcript.pyannote[1398].speaker SPEAKER_07
transcript.pyannote[1398].start 9911.54534375
transcript.pyannote[1398].end 9912.99659375
transcript.pyannote[1399].speaker SPEAKER_07
transcript.pyannote[1399].start 9913.43534375
transcript.pyannote[1399].end 9914.09346875
transcript.pyannote[1400].speaker SPEAKER_07
transcript.pyannote[1400].start 9914.65034375
transcript.pyannote[1400].end 9917.77221875
transcript.pyannote[1401].speaker SPEAKER_07
transcript.pyannote[1401].start 9918.07596875
transcript.pyannote[1401].end 9919.34159375
transcript.pyannote[1402].speaker SPEAKER_07
transcript.pyannote[1402].start 9919.78034375
transcript.pyannote[1402].end 9920.53971875
transcript.pyannote[1403].speaker SPEAKER_07
transcript.pyannote[1403].start 9920.96159375
transcript.pyannote[1403].end 9925.58534375
transcript.pyannote[1404].speaker SPEAKER_07
transcript.pyannote[1404].start 9925.82159375
transcript.pyannote[1404].end 9933.71909375
transcript.pyannote[1405].speaker SPEAKER_07
transcript.pyannote[1405].start 9934.12409375
transcript.pyannote[1405].end 9937.44846875
transcript.pyannote[1406].speaker SPEAKER_07
transcript.pyannote[1406].start 9937.80284375
transcript.pyannote[1406].end 9944.77221875
transcript.pyannote[1407].speaker SPEAKER_07
transcript.pyannote[1407].start 9945.09284375
transcript.pyannote[1407].end 9959.08221875
transcript.pyannote[1408].speaker SPEAKER_07
transcript.pyannote[1408].start 9961.37721875
transcript.pyannote[1408].end 9962.69346875
transcript.pyannote[1409].speaker SPEAKER_24
transcript.pyannote[1409].start 9962.18721875
transcript.pyannote[1409].end 9987.63471875
transcript.pyannote[1410].speaker SPEAKER_24
transcript.pyannote[1410].start 9987.93846875
transcript.pyannote[1410].end 9989.65971875
transcript.pyannote[1411].speaker SPEAKER_07
transcript.pyannote[1411].start 9989.74409375
transcript.pyannote[1411].end 9995.54909375
transcript.pyannote[1412].speaker SPEAKER_07
transcript.pyannote[1412].start 9995.80221875
transcript.pyannote[1412].end 9998.70471875
transcript.pyannote[1413].speaker SPEAKER_07
transcript.pyannote[1413].start 9998.97471875
transcript.pyannote[1413].end 10008.20534375
transcript.pyannote[1414].speaker SPEAKER_07
transcript.pyannote[1414].start 10008.35721875
transcript.pyannote[1414].end 10020.55784375
transcript.pyannote[1415].speaker SPEAKER_07
transcript.pyannote[1415].start 10021.08096875
transcript.pyannote[1415].end 10030.95284375
transcript.pyannote[1416].speaker SPEAKER_07
transcript.pyannote[1416].start 10031.40846875
transcript.pyannote[1416].end 10032.01596875
transcript.pyannote[1417].speaker SPEAKER_07
transcript.pyannote[1417].start 10032.48846875
transcript.pyannote[1417].end 10060.82159375
transcript.pyannote[1418].speaker SPEAKER_07
transcript.pyannote[1418].start 10061.46284375
transcript.pyannote[1418].end 10062.54284375
transcript.pyannote[1419].speaker SPEAKER_07
transcript.pyannote[1419].start 10062.88034375
transcript.pyannote[1419].end 10065.85034375
transcript.pyannote[1420].speaker SPEAKER_07
transcript.pyannote[1420].start 10066.27221875
transcript.pyannote[1420].end 10067.31846875
transcript.pyannote[1421].speaker SPEAKER_07
transcript.pyannote[1421].start 10068.26346875
transcript.pyannote[1421].end 10068.93846875
transcript.pyannote[1422].speaker SPEAKER_07
transcript.pyannote[1422].start 10069.78221875
transcript.pyannote[1422].end 10071.18284375
transcript.pyannote[1423].speaker SPEAKER_07
transcript.pyannote[1423].start 10071.43596875
transcript.pyannote[1423].end 10073.37659375
transcript.pyannote[1424].speaker SPEAKER_07
transcript.pyannote[1424].start 10073.46096875
transcript.pyannote[1424].end 10093.37346875
transcript.pyannote[1425].speaker SPEAKER_07
transcript.pyannote[1425].start 10094.01471875
transcript.pyannote[1425].end 10101.59159375
transcript.pyannote[1426].speaker SPEAKER_07
transcript.pyannote[1426].start 10101.81096875
transcript.pyannote[1426].end 10105.28721875
transcript.pyannote[1427].speaker SPEAKER_07
transcript.pyannote[1427].start 10105.75971875
transcript.pyannote[1427].end 10106.21534375
transcript.pyannote[1428].speaker SPEAKER_07
transcript.pyannote[1428].start 10106.45159375
transcript.pyannote[1428].end 10107.07596875
transcript.pyannote[1429].speaker SPEAKER_07
transcript.pyannote[1429].start 10107.56534375
transcript.pyannote[1429].end 10113.18471875
transcript.pyannote[1430].speaker SPEAKER_07
transcript.pyannote[1430].start 10113.52221875
transcript.pyannote[1430].end 10114.04534375
transcript.pyannote[1431].speaker SPEAKER_07
transcript.pyannote[1431].start 10114.51784375
transcript.pyannote[1431].end 10126.07721875
transcript.pyannote[1432].speaker SPEAKER_07
transcript.pyannote[1432].start 10126.19534375
transcript.pyannote[1432].end 10140.87659375
transcript.pyannote[1433].speaker SPEAKER_07
transcript.pyannote[1433].start 10140.97784375
transcript.pyannote[1433].end 10141.02846875
transcript.pyannote[1434].speaker SPEAKER_13
transcript.pyannote[1434].start 10141.02846875
transcript.pyannote[1434].end 10141.93971875
transcript.pyannote[1435].speaker SPEAKER_13
transcript.pyannote[1435].start 10142.63159375
transcript.pyannote[1435].end 10153.83659375
transcript.pyannote[1436].speaker SPEAKER_07
transcript.pyannote[1436].start 10153.44846875
transcript.pyannote[1436].end 10153.49909375
transcript.pyannote[1437].speaker SPEAKER_07
transcript.pyannote[1437].start 10153.53284375
transcript.pyannote[1437].end 10155.94596875
transcript.pyannote[1438].speaker SPEAKER_13
transcript.pyannote[1438].start 10155.40596875
transcript.pyannote[1438].end 10157.02596875
transcript.pyannote[1439].speaker SPEAKER_07
transcript.pyannote[1439].start 10157.02596875
transcript.pyannote[1439].end 10166.10471875
transcript.pyannote[1440].speaker SPEAKER_13
transcript.pyannote[1440].start 10157.49846875
transcript.pyannote[1440].end 10158.79784375
transcript.pyannote[1441].speaker SPEAKER_13
transcript.pyannote[1441].start 10162.25721875
transcript.pyannote[1441].end 10163.45534375
transcript.pyannote[1442].speaker SPEAKER_13
transcript.pyannote[1442].start 10164.46784375
transcript.pyannote[1442].end 10165.73346875
transcript.pyannote[1443].speaker SPEAKER_13
transcript.pyannote[1443].start 10166.10471875
transcript.pyannote[1443].end 10169.02409375
transcript.pyannote[1444].speaker SPEAKER_07
transcript.pyannote[1444].start 10168.28159375
transcript.pyannote[1444].end 10168.83846875
transcript.pyannote[1445].speaker SPEAKER_07
transcript.pyannote[1445].start 10169.02409375
transcript.pyannote[1445].end 10169.29409375
transcript.pyannote[1446].speaker SPEAKER_13
transcript.pyannote[1446].start 10169.29409375
transcript.pyannote[1446].end 10171.18409375
transcript.pyannote[1447].speaker SPEAKER_07
transcript.pyannote[1447].start 10169.42909375
transcript.pyannote[1447].end 10179.04784375
transcript.pyannote[1448].speaker SPEAKER_32
transcript.pyannote[1448].start 10177.49534375
transcript.pyannote[1448].end 10177.96784375
transcript.pyannote[1449].speaker SPEAKER_28
transcript.pyannote[1449].start 10177.96784375
transcript.pyannote[1449].end 10178.22096875
transcript.pyannote[1450].speaker SPEAKER_00
transcript.pyannote[1450].start 10178.22096875
transcript.pyannote[1450].end 10178.28846875
transcript.pyannote[1451].speaker SPEAKER_22
transcript.pyannote[1451].start 10179.70596875
transcript.pyannote[1451].end 10183.92471875
transcript.pyannote[1452].speaker SPEAKER_22
transcript.pyannote[1452].start 10184.80221875
transcript.pyannote[1452].end 10188.80159375
transcript.pyannote[1453].speaker SPEAKER_20
transcript.pyannote[1453].start 10197.03659375
transcript.pyannote[1453].end 10198.18409375
transcript.pyannote[1454].speaker SPEAKER_20
transcript.pyannote[1454].start 10198.97721875
transcript.pyannote[1454].end 10199.28096875
transcript.pyannote[1455].speaker SPEAKER_22
transcript.pyannote[1455].start 10199.28096875
transcript.pyannote[1455].end 10199.29784375
transcript.pyannote[1456].speaker SPEAKER_09
transcript.pyannote[1456].start 10199.90534375
transcript.pyannote[1456].end 10200.34409375
transcript.pyannote[1457].speaker SPEAKER_09
transcript.pyannote[1457].start 10201.28909375
transcript.pyannote[1457].end 10202.30159375
transcript.pyannote[1458].speaker SPEAKER_22
transcript.pyannote[1458].start 10203.02721875
transcript.pyannote[1458].end 10204.19159375
transcript.pyannote[1459].speaker SPEAKER_09
transcript.pyannote[1459].start 10203.76971875
transcript.pyannote[1459].end 10203.92159375
transcript.pyannote[1460].speaker SPEAKER_10
transcript.pyannote[1460].start 10203.92159375
transcript.pyannote[1460].end 10205.89596875
transcript.pyannote[1461].speaker SPEAKER_22
transcript.pyannote[1461].start 10204.98471875
transcript.pyannote[1461].end 10205.00159375
transcript.pyannote[1462].speaker SPEAKER_22
transcript.pyannote[1462].start 10205.08596875
transcript.pyannote[1462].end 10205.15346875
transcript.pyannote[1463].speaker SPEAKER_10
transcript.pyannote[1463].start 10206.09846875
transcript.pyannote[1463].end 10209.01784375
transcript.pyannote[1464].speaker SPEAKER_22
transcript.pyannote[1464].start 10207.48221875
transcript.pyannote[1464].end 10207.80284375
transcript.pyannote[1465].speaker SPEAKER_10
transcript.pyannote[1465].start 10209.57471875
transcript.pyannote[1465].end 10212.44346875
transcript.pyannote[1466].speaker SPEAKER_31
transcript.pyannote[1466].start 10212.44346875
transcript.pyannote[1466].end 10212.66284375
transcript.pyannote[1467].speaker SPEAKER_10
transcript.pyannote[1467].start 10212.66284375
transcript.pyannote[1467].end 10215.61596875
transcript.pyannote[1468].speaker SPEAKER_31
transcript.pyannote[1468].start 10212.67971875
transcript.pyannote[1468].end 10212.71346875
transcript.pyannote[1469].speaker SPEAKER_31
transcript.pyannote[1469].start 10214.26596875
transcript.pyannote[1469].end 10214.56971875
transcript.pyannote[1470].speaker SPEAKER_31
transcript.pyannote[1470].start 10215.61596875
transcript.pyannote[1470].end 10215.86909375
transcript.pyannote[1471].speaker SPEAKER_10
transcript.pyannote[1471].start 10216.24034375
transcript.pyannote[1471].end 10217.23596875
transcript.pyannote[1472].speaker SPEAKER_10
transcript.pyannote[1472].start 10217.77596875
transcript.pyannote[1472].end 10218.95721875
transcript.pyannote[1473].speaker SPEAKER_10
transcript.pyannote[1473].start 10219.24409375
transcript.pyannote[1473].end 10222.19721875
transcript.pyannote[1474].speaker SPEAKER_10
transcript.pyannote[1474].start 10222.50096875
transcript.pyannote[1474].end 10225.99409375
transcript.pyannote[1475].speaker SPEAKER_22
transcript.pyannote[1475].start 10225.97721875
transcript.pyannote[1475].end 10237.04721875
transcript.pyannote[1476].speaker SPEAKER_22
transcript.pyannote[1476].start 10237.65471875
transcript.pyannote[1476].end 10240.35471875
transcript.pyannote[1477].speaker SPEAKER_17
transcript.pyannote[1477].start 10240.35471875
transcript.pyannote[1477].end 10241.58659375
transcript.pyannote[1478].speaker SPEAKER_22
transcript.pyannote[1478].start 10240.65846875
transcript.pyannote[1478].end 10241.41784375
transcript.pyannote[1479].speaker SPEAKER_22
transcript.pyannote[1479].start 10241.60346875
transcript.pyannote[1479].end 10242.93659375
transcript.pyannote[1480].speaker SPEAKER_22
transcript.pyannote[1480].start 10243.17284375
transcript.pyannote[1480].end 10248.97784375
transcript.pyannote[1481].speaker SPEAKER_15
transcript.pyannote[1481].start 10248.97784375
transcript.pyannote[1481].end 10249.26471875
transcript.pyannote[1482].speaker SPEAKER_22
transcript.pyannote[1482].start 10250.22659375
transcript.pyannote[1482].end 10250.24346875
transcript.pyannote[1483].speaker SPEAKER_15
transcript.pyannote[1483].start 10250.24346875
transcript.pyannote[1483].end 10251.82971875
transcript.pyannote[1484].speaker SPEAKER_15
transcript.pyannote[1484].start 10251.91409375
transcript.pyannote[1484].end 10267.82721875
transcript.pyannote[1485].speaker SPEAKER_15
transcript.pyannote[1485].start 10268.21534375
transcript.pyannote[1485].end 10279.43721875
transcript.pyannote[1486].speaker SPEAKER_15
transcript.pyannote[1486].start 10280.09534375
transcript.pyannote[1486].end 10302.62346875
transcript.pyannote[1487].speaker SPEAKER_15
transcript.pyannote[1487].start 10302.82596875
transcript.pyannote[1487].end 10304.39534375
transcript.pyannote[1488].speaker SPEAKER_15
transcript.pyannote[1488].start 10304.81721875
transcript.pyannote[1488].end 10312.84971875
transcript.pyannote[1489].speaker SPEAKER_15
transcript.pyannote[1489].start 10313.55846875
transcript.pyannote[1489].end 10331.27721875
transcript.pyannote[1490].speaker SPEAKER_15
transcript.pyannote[1490].start 10331.36159375
transcript.pyannote[1490].end 10335.15846875
transcript.pyannote[1491].speaker SPEAKER_15
transcript.pyannote[1491].start 10335.49596875
transcript.pyannote[1491].end 10339.07346875
transcript.pyannote[1492].speaker SPEAKER_15
transcript.pyannote[1492].start 10339.44471875
transcript.pyannote[1492].end 10340.45721875
transcript.pyannote[1493].speaker SPEAKER_15
transcript.pyannote[1493].start 10341.52034375
transcript.pyannote[1493].end 10351.27409375
transcript.pyannote[1494].speaker SPEAKER_15
transcript.pyannote[1494].start 10351.45971875
transcript.pyannote[1494].end 10358.07471875
transcript.pyannote[1495].speaker SPEAKER_15
transcript.pyannote[1495].start 10358.47971875
transcript.pyannote[1495].end 10371.72659375
transcript.pyannote[1496].speaker SPEAKER_15
transcript.pyannote[1496].start 10372.38471875
transcript.pyannote[1496].end 10381.41284375
transcript.pyannote[1497].speaker SPEAKER_15
transcript.pyannote[1497].start 10381.46346875
transcript.pyannote[1497].end 10385.05784375
transcript.pyannote[1498].speaker SPEAKER_15
transcript.pyannote[1498].start 10385.22659375
transcript.pyannote[1498].end 10396.83659375
transcript.pyannote[1499].speaker SPEAKER_15
transcript.pyannote[1499].start 10397.00534375
transcript.pyannote[1499].end 10402.18596875
transcript.pyannote[1500].speaker SPEAKER_15
transcript.pyannote[1500].start 10402.40534375
transcript.pyannote[1500].end 10403.63721875
transcript.pyannote[1501].speaker SPEAKER_15
transcript.pyannote[1501].start 10403.90721875
transcript.pyannote[1501].end 10406.84346875
transcript.pyannote[1502].speaker SPEAKER_15
transcript.pyannote[1502].start 10407.14721875
transcript.pyannote[1502].end 10408.44659375
transcript.pyannote[1503].speaker SPEAKER_15
transcript.pyannote[1503].start 10408.64909375
transcript.pyannote[1503].end 10411.02846875
transcript.pyannote[1504].speaker SPEAKER_15
transcript.pyannote[1504].start 10411.14659375
transcript.pyannote[1504].end 10415.29784375
transcript.pyannote[1505].speaker SPEAKER_15
transcript.pyannote[1505].start 10415.93909375
transcript.pyannote[1505].end 10419.01034375
transcript.pyannote[1506].speaker SPEAKER_15
transcript.pyannote[1506].start 10419.22971875
transcript.pyannote[1506].end 10421.25471875
transcript.pyannote[1507].speaker SPEAKER_15
transcript.pyannote[1507].start 10421.37284375
transcript.pyannote[1507].end 10429.69221875
transcript.pyannote[1508].speaker SPEAKER_15
transcript.pyannote[1508].start 10429.94534375
transcript.pyannote[1508].end 10431.98721875
transcript.pyannote[1509].speaker SPEAKER_15
transcript.pyannote[1509].start 10432.05471875
transcript.pyannote[1509].end 10437.40409375
transcript.pyannote[1510].speaker SPEAKER_15
transcript.pyannote[1510].start 10437.48846875
transcript.pyannote[1510].end 10443.56346875
transcript.pyannote[1511].speaker SPEAKER_15
transcript.pyannote[1511].start 10443.79971875
transcript.pyannote[1511].end 10456.65846875
transcript.pyannote[1512].speaker SPEAKER_15
transcript.pyannote[1512].start 10457.08034375
transcript.pyannote[1512].end 10459.71284375
transcript.pyannote[1513].speaker SPEAKER_15
transcript.pyannote[1513].start 10460.45534375
transcript.pyannote[1513].end 10461.01221875
transcript.pyannote[1514].speaker SPEAKER_15
transcript.pyannote[1514].start 10461.56909375
transcript.pyannote[1514].end 10464.45471875
transcript.pyannote[1515].speaker SPEAKER_15
transcript.pyannote[1515].start 10464.75846875
transcript.pyannote[1515].end 10478.68034375
transcript.pyannote[1516].speaker SPEAKER_15
transcript.pyannote[1516].start 10479.00096875
transcript.pyannote[1516].end 10482.29159375
transcript.pyannote[1517].speaker SPEAKER_15
transcript.pyannote[1517].start 10482.40971875
transcript.pyannote[1517].end 10484.58659375
transcript.pyannote[1518].speaker SPEAKER_15
transcript.pyannote[1518].start 10484.92409375
transcript.pyannote[1518].end 10493.05784375
transcript.pyannote[1519].speaker SPEAKER_15
transcript.pyannote[1519].start 10493.37846875
transcript.pyannote[1519].end 10494.96471875
transcript.pyannote[1520].speaker SPEAKER_15
transcript.pyannote[1520].start 10495.18409375
transcript.pyannote[1520].end 10496.04471875
transcript.pyannote[1521].speaker SPEAKER_15
transcript.pyannote[1521].start 10496.39909375
transcript.pyannote[1521].end 10498.44096875
transcript.pyannote[1522].speaker SPEAKER_15
transcript.pyannote[1522].start 10499.95971875
transcript.pyannote[1522].end 10500.58409375
transcript.pyannote[1523].speaker SPEAKER_15
transcript.pyannote[1523].start 10500.97221875
transcript.pyannote[1523].end 10512.68346875
transcript.pyannote[1524].speaker SPEAKER_15
transcript.pyannote[1524].start 10513.00409375
transcript.pyannote[1524].end 10515.99096875
transcript.pyannote[1525].speaker SPEAKER_15
transcript.pyannote[1525].start 10516.19346875
transcript.pyannote[1525].end 10519.31534375
transcript.pyannote[1526].speaker SPEAKER_15
transcript.pyannote[1526].start 10519.50096875
transcript.pyannote[1526].end 10523.90534375
transcript.pyannote[1527].speaker SPEAKER_15
transcript.pyannote[1527].start 10524.17534375
transcript.pyannote[1527].end 10526.08221875
transcript.pyannote[1528].speaker SPEAKER_15
transcript.pyannote[1528].start 10526.28471875
transcript.pyannote[1528].end 10528.54596875
transcript.pyannote[1529].speaker SPEAKER_15
transcript.pyannote[1529].start 10528.84971875
transcript.pyannote[1529].end 10530.03096875
transcript.pyannote[1530].speaker SPEAKER_15
transcript.pyannote[1530].start 10530.60471875
transcript.pyannote[1530].end 10535.48159375
transcript.pyannote[1531].speaker SPEAKER_15
transcript.pyannote[1531].start 10535.71784375
transcript.pyannote[1531].end 10541.38784375
transcript.pyannote[1532].speaker SPEAKER_15
transcript.pyannote[1532].start 10541.43846875
transcript.pyannote[1532].end 10542.63659375
transcript.pyannote[1533].speaker SPEAKER_15
transcript.pyannote[1533].start 10543.34534375
transcript.pyannote[1533].end 10545.23534375
transcript.pyannote[1534].speaker SPEAKER_15
transcript.pyannote[1534].start 10546.38284375
transcript.pyannote[1534].end 10551.17534375
transcript.pyannote[1535].speaker SPEAKER_15
transcript.pyannote[1535].start 10551.29346875
transcript.pyannote[1535].end 10555.14096875
transcript.pyannote[1536].speaker SPEAKER_15
transcript.pyannote[1536].start 10555.17471875
transcript.pyannote[1536].end 10562.56596875
transcript.pyannote[1537].speaker SPEAKER_15
transcript.pyannote[1537].start 10562.83596875
transcript.pyannote[1537].end 10573.53471875
transcript.pyannote[1538].speaker SPEAKER_15
transcript.pyannote[1538].start 10573.61909375
transcript.pyannote[1538].end 10591.06784375
transcript.pyannote[1539].speaker SPEAKER_15
transcript.pyannote[1539].start 10591.25346875
transcript.pyannote[1539].end 10593.90284375
transcript.pyannote[1540].speaker SPEAKER_22
transcript.pyannote[1540].start 10595.82659375
transcript.pyannote[1540].end 10596.31596875
transcript.pyannote[1541].speaker SPEAKER_22
transcript.pyannote[1541].start 10596.63659375
transcript.pyannote[1541].end 10606.27221875
transcript.pyannote[1542].speaker SPEAKER_22
transcript.pyannote[1542].start 10606.44096875
transcript.pyannote[1542].end 10611.13221875
transcript.pyannote[1543].speaker SPEAKER_22
transcript.pyannote[1543].start 10611.25034375
transcript.pyannote[1543].end 10631.26409375
transcript.pyannote[1544].speaker SPEAKER_22
transcript.pyannote[1544].start 10631.70284375
transcript.pyannote[1544].end 10636.88346875
transcript.pyannote[1545].speaker SPEAKER_22
transcript.pyannote[1545].start 10637.25471875
transcript.pyannote[1545].end 10642.03034375
transcript.pyannote[1546].speaker SPEAKER_22
transcript.pyannote[1546].start 10642.41846875
transcript.pyannote[1546].end 10647.27846875
transcript.pyannote[1547].speaker SPEAKER_22
transcript.pyannote[1547].start 10647.41346875
transcript.pyannote[1547].end 10663.93409375
transcript.pyannote[1548].speaker SPEAKER_28
transcript.pyannote[1548].start 10671.25784375
transcript.pyannote[1548].end 10672.15221875
transcript.pyannote[1549].speaker SPEAKER_31
transcript.pyannote[1549].start 10671.57846875
transcript.pyannote[1549].end 10674.31221875
transcript.pyannote[1550].speaker SPEAKER_28
transcript.pyannote[1550].start 10672.54034375
transcript.pyannote[1550].end 10672.55721875
transcript.pyannote[1551].speaker SPEAKER_28
transcript.pyannote[1551].start 10672.59096875
transcript.pyannote[1551].end 10673.56971875
transcript.pyannote[1552].speaker SPEAKER_23
transcript.pyannote[1552].start 10674.31221875
transcript.pyannote[1552].end 10674.41346875
transcript.pyannote[1553].speaker SPEAKER_31
transcript.pyannote[1553].start 10674.41346875
transcript.pyannote[1553].end 10678.95284375
transcript.pyannote[1554].speaker SPEAKER_23
transcript.pyannote[1554].start 10674.71721875
transcript.pyannote[1554].end 10675.89846875
transcript.pyannote[1555].speaker SPEAKER_15
transcript.pyannote[1555].start 10680.33659375
transcript.pyannote[1555].end 10681.93971875
transcript.pyannote[1556].speaker SPEAKER_15
transcript.pyannote[1556].start 10682.07471875
transcript.pyannote[1556].end 10690.27596875
transcript.pyannote[1557].speaker SPEAKER_23
transcript.pyannote[1557].start 10691.92971875
transcript.pyannote[1557].end 10692.95909375
transcript.pyannote[1558].speaker SPEAKER_15
transcript.pyannote[1558].start 10692.95909375
transcript.pyannote[1558].end 10695.69284375
transcript.pyannote[1559].speaker SPEAKER_15
transcript.pyannote[1559].start 10697.75159375
transcript.pyannote[1559].end 10710.12096875
transcript.pyannote[1560].speaker SPEAKER_22
transcript.pyannote[1560].start 10710.12096875
transcript.pyannote[1560].end 10710.13784375
transcript.pyannote[1561].speaker SPEAKER_22
transcript.pyannote[1561].start 10711.01534375
transcript.pyannote[1561].end 10715.06534375
transcript.pyannote[1562].speaker SPEAKER_33
transcript.pyannote[1562].start 10715.52096875
transcript.pyannote[1562].end 10715.60534375
transcript.pyannote[1563].speaker SPEAKER_33
transcript.pyannote[1563].start 10715.72346875
transcript.pyannote[1563].end 10718.22096875
transcript.pyannote[1564].speaker SPEAKER_22
transcript.pyannote[1564].start 10718.22096875
transcript.pyannote[1564].end 10723.41846875
transcript.pyannote[1565].speaker SPEAKER_33
transcript.pyannote[1565].start 10718.23784375
transcript.pyannote[1565].end 10718.54159375
transcript.pyannote[1566].speaker SPEAKER_22
transcript.pyannote[1566].start 10723.90784375
transcript.pyannote[1566].end 10725.07221875
transcript.pyannote[1567].speaker SPEAKER_22
transcript.pyannote[1567].start 10725.74721875
transcript.pyannote[1567].end 10726.65846875
transcript.pyannote[1568].speaker SPEAKER_22
transcript.pyannote[1568].start 10727.48534375
transcript.pyannote[1568].end 10728.75096875
transcript.pyannote[1569].speaker SPEAKER_15
transcript.pyannote[1569].start 10728.75096875
transcript.pyannote[1569].end 10728.78471875
transcript.pyannote[1570].speaker SPEAKER_15
transcript.pyannote[1570].start 10729.51034375
transcript.pyannote[1570].end 10745.03534375
transcript.pyannote[1571].speaker SPEAKER_15
transcript.pyannote[1571].start 10745.27159375
transcript.pyannote[1571].end 10750.55346875
transcript.pyannote[1572].speaker SPEAKER_15
transcript.pyannote[1572].start 10750.82346875
transcript.pyannote[1572].end 10751.93721875
transcript.pyannote[1573].speaker SPEAKER_15
transcript.pyannote[1573].start 10752.44346875
transcript.pyannote[1573].end 10756.39221875
transcript.pyannote[1574].speaker SPEAKER_15
transcript.pyannote[1574].start 10757.23596875
transcript.pyannote[1574].end 10760.02034375
transcript.pyannote[1575].speaker SPEAKER_15
transcript.pyannote[1575].start 10760.77971875
transcript.pyannote[1575].end 10762.02846875
transcript.pyannote[1576].speaker SPEAKER_22
transcript.pyannote[1576].start 10762.02846875
transcript.pyannote[1576].end 10764.01971875
transcript.pyannote[1577].speaker SPEAKER_22
transcript.pyannote[1577].start 10765.33596875
transcript.pyannote[1577].end 10766.07846875
transcript.pyannote[1578].speaker SPEAKER_22
transcript.pyannote[1578].start 10767.76596875
transcript.pyannote[1578].end 10771.30971875
transcript.pyannote[1579].speaker SPEAKER_15
transcript.pyannote[1579].start 10771.30971875
transcript.pyannote[1579].end 10771.36034375
transcript.pyannote[1580].speaker SPEAKER_22
transcript.pyannote[1580].start 10772.22096875
transcript.pyannote[1580].end 10772.96346875
transcript.pyannote[1581].speaker SPEAKER_15
transcript.pyannote[1581].start 10772.96346875
transcript.pyannote[1581].end 10791.79596875
transcript.pyannote[1582].speaker SPEAKER_22
transcript.pyannote[1582].start 10794.95159375
transcript.pyannote[1582].end 10797.11159375
transcript.pyannote[1583].speaker SPEAKER_22
transcript.pyannote[1583].start 10799.87909375
transcript.pyannote[1583].end 10804.18221875
transcript.pyannote[1584].speaker SPEAKER_28
transcript.pyannote[1584].start 10804.18221875
transcript.pyannote[1584].end 10804.30034375
transcript.pyannote[1585].speaker SPEAKER_22
transcript.pyannote[1585].start 10804.30034375
transcript.pyannote[1585].end 10809.26159375
transcript.pyannote[1586].speaker SPEAKER_22
transcript.pyannote[1586].start 10809.43034375
transcript.pyannote[1586].end 10811.77596875
transcript.pyannote[1587].speaker SPEAKER_22
transcript.pyannote[1587].start 10812.01221875
transcript.pyannote[1587].end 10814.69534375
transcript.pyannote[1588].speaker SPEAKER_22
transcript.pyannote[1588].start 10815.13409375
transcript.pyannote[1588].end 10816.66971875
transcript.pyannote[1589].speaker SPEAKER_22
transcript.pyannote[1589].start 10817.63159375
transcript.pyannote[1589].end 10821.52971875
transcript.pyannote[1590].speaker SPEAKER_22
transcript.pyannote[1590].start 10822.18784375
transcript.pyannote[1590].end 10823.14971875
transcript.pyannote[1591].speaker SPEAKER_22
transcript.pyannote[1591].start 10823.43659375
transcript.pyannote[1591].end 10824.12846875
transcript.pyannote[1592].speaker SPEAKER_22
transcript.pyannote[1592].start 10825.90034375
transcript.pyannote[1592].end 10828.93784375
transcript.pyannote[1593].speaker SPEAKER_22
transcript.pyannote[1593].start 10829.68034375
transcript.pyannote[1593].end 10833.27471875
transcript.pyannote[1594].speaker SPEAKER_22
transcript.pyannote[1594].start 10833.96659375
transcript.pyannote[1594].end 10837.20659375
transcript.pyannote[1595].speaker SPEAKER_09
transcript.pyannote[1595].start 10838.25284375
transcript.pyannote[1595].end 10839.16409375
transcript.pyannote[1596].speaker SPEAKER_22
transcript.pyannote[1596].start 10840.14284375
transcript.pyannote[1596].end 10840.39596875
transcript.pyannote[1597].speaker SPEAKER_09
transcript.pyannote[1597].start 10840.39596875
transcript.pyannote[1597].end 10842.25221875
transcript.pyannote[1598].speaker SPEAKER_22
transcript.pyannote[1598].start 10842.37034375
transcript.pyannote[1598].end 10843.58534375
transcript.pyannote[1599].speaker SPEAKER_22
transcript.pyannote[1599].start 10845.39096875
transcript.pyannote[1599].end 10848.14159375
transcript.pyannote[1600].speaker SPEAKER_22
transcript.pyannote[1600].start 10848.68159375
transcript.pyannote[1600].end 10849.17096875
transcript.pyannote[1601].speaker SPEAKER_30
transcript.pyannote[1601].start 10852.69784375
transcript.pyannote[1601].end 10853.25471875
transcript.pyannote[1602].speaker SPEAKER_30
transcript.pyannote[1602].start 10854.48659375
transcript.pyannote[1602].end 10861.28721875
transcript.pyannote[1603].speaker SPEAKER_30
transcript.pyannote[1603].start 10861.75971875
transcript.pyannote[1603].end 10863.80159375
transcript.pyannote[1604].speaker SPEAKER_30
transcript.pyannote[1604].start 10864.18971875
transcript.pyannote[1604].end 10889.99159375
transcript.pyannote[1605].speaker SPEAKER_30
transcript.pyannote[1605].start 10890.61596875
transcript.pyannote[1605].end 10901.53409375
transcript.pyannote[1606].speaker SPEAKER_30
transcript.pyannote[1606].start 10901.82096875
transcript.pyannote[1606].end 10911.76034375
transcript.pyannote[1607].speaker SPEAKER_22
transcript.pyannote[1607].start 10913.27909375
transcript.pyannote[1607].end 10915.03409375
transcript.pyannote[1608].speaker SPEAKER_20
transcript.pyannote[1608].start 10915.03409375
transcript.pyannote[1608].end 10915.13534375
transcript.pyannote[1609].speaker SPEAKER_22
transcript.pyannote[1609].start 10915.13534375
transcript.pyannote[1609].end 10917.21096875
transcript.pyannote[1610].speaker SPEAKER_20
transcript.pyannote[1610].start 10915.18596875
transcript.pyannote[1610].end 10915.21971875
transcript.pyannote[1611].speaker SPEAKER_30
transcript.pyannote[1611].start 10915.21971875
transcript.pyannote[1611].end 10915.37159375
transcript.pyannote[1612].speaker SPEAKER_20
transcript.pyannote[1612].start 10915.37159375
transcript.pyannote[1612].end 10915.40534375
transcript.pyannote[1613].speaker SPEAKER_30
transcript.pyannote[1613].start 10915.40534375
transcript.pyannote[1613].end 10915.42221875
transcript.pyannote[1614].speaker SPEAKER_20
transcript.pyannote[1614].start 10915.42221875
transcript.pyannote[1614].end 10915.82721875
transcript.pyannote[1615].speaker SPEAKER_20
transcript.pyannote[1615].start 10916.01284375
transcript.pyannote[1615].end 10922.86409375
transcript.pyannote[1616].speaker SPEAKER_28
transcript.pyannote[1616].start 10919.82659375
transcript.pyannote[1616].end 10919.84346875
transcript.pyannote[1617].speaker SPEAKER_22
transcript.pyannote[1617].start 10919.84346875
transcript.pyannote[1617].end 10919.89409375
transcript.pyannote[1618].speaker SPEAKER_28
transcript.pyannote[1618].start 10919.89409375
transcript.pyannote[1618].end 10919.91096875
transcript.pyannote[1619].speaker SPEAKER_20
transcript.pyannote[1619].start 10923.55596875
transcript.pyannote[1619].end 10927.80846875
transcript.pyannote[1620].speaker SPEAKER_22
transcript.pyannote[1620].start 10925.96909375
transcript.pyannote[1620].end 10926.72846875
transcript.pyannote[1621].speaker SPEAKER_22
transcript.pyannote[1621].start 10927.80846875
transcript.pyannote[1621].end 10927.89284375
transcript.pyannote[1622].speaker SPEAKER_20
transcript.pyannote[1622].start 10927.89284375
transcript.pyannote[1622].end 10927.97721875
transcript.pyannote[1623].speaker SPEAKER_22
transcript.pyannote[1623].start 10927.97721875
transcript.pyannote[1623].end 10932.31409375
transcript.pyannote[1624].speaker SPEAKER_22
transcript.pyannote[1624].start 10932.73596875
transcript.pyannote[1624].end 10941.54471875
transcript.pyannote[1625].speaker SPEAKER_22
transcript.pyannote[1625].start 10941.78096875
transcript.pyannote[1625].end 10948.46346875
transcript.pyannote[1626].speaker SPEAKER_09
transcript.pyannote[1626].start 10948.22721875
transcript.pyannote[1626].end 10948.24409375
transcript.pyannote[1627].speaker SPEAKER_10
transcript.pyannote[1627].start 10948.24409375
transcript.pyannote[1627].end 10951.45034375
transcript.pyannote[1628].speaker SPEAKER_22
transcript.pyannote[1628].start 10949.72909375
transcript.pyannote[1628].end 10950.58971875
transcript.pyannote[1629].speaker SPEAKER_22
transcript.pyannote[1629].start 10950.77534375
transcript.pyannote[1629].end 10952.31096875
transcript.pyannote[1630].speaker SPEAKER_10
transcript.pyannote[1630].start 10952.07471875
transcript.pyannote[1630].end 10958.28471875
transcript.pyannote[1631].speaker SPEAKER_10
transcript.pyannote[1631].start 10958.70659375
transcript.pyannote[1631].end 10967.46471875
transcript.pyannote[1632].speaker SPEAKER_10
transcript.pyannote[1632].start 10968.83159375
transcript.pyannote[1632].end 10998.16034375
transcript.pyannote[1633].speaker SPEAKER_10
transcript.pyannote[1633].start 10998.37971875
transcript.pyannote[1633].end 11002.19346875
transcript.pyannote[1634].speaker SPEAKER_10
transcript.pyannote[1634].start 11002.21034375
transcript.pyannote[1634].end 11004.57284375
transcript.pyannote[1635].speaker SPEAKER_10
transcript.pyannote[1635].start 11004.97784375
transcript.pyannote[1635].end 11017.76909375
transcript.pyannote[1636].speaker SPEAKER_22
transcript.pyannote[1636].start 11018.25846875
transcript.pyannote[1636].end 11024.63721875
transcript.pyannote[1637].speaker SPEAKER_27
transcript.pyannote[1637].start 11018.76471875
transcript.pyannote[1637].end 11019.23721875
transcript.pyannote[1638].speaker SPEAKER_22
transcript.pyannote[1638].start 11025.07596875
transcript.pyannote[1638].end 11028.90659375
transcript.pyannote[1639].speaker SPEAKER_22
transcript.pyannote[1639].start 11029.26096875
transcript.pyannote[1639].end 11047.03034375
transcript.pyannote[1640].speaker SPEAKER_22
transcript.pyannote[1640].start 11047.63784375
transcript.pyannote[1640].end 11050.15221875
transcript.pyannote[1641].speaker SPEAKER_22
transcript.pyannote[1641].start 11050.38846875
transcript.pyannote[1641].end 11076.89909375
transcript.pyannote[1642].speaker SPEAKER_22
transcript.pyannote[1642].start 11077.57409375
transcript.pyannote[1642].end 11086.01159375
transcript.pyannote[1643].speaker SPEAKER_22
transcript.pyannote[1643].start 11086.73721875
transcript.pyannote[1643].end 11091.32721875
transcript.pyannote[1644].speaker SPEAKER_10
transcript.pyannote[1644].start 11089.01534375
transcript.pyannote[1644].end 11107.37534375
transcript.pyannote[1645].speaker SPEAKER_20
transcript.pyannote[1645].start 11104.33784375
transcript.pyannote[1645].end 11107.40909375
transcript.pyannote[1646].speaker SPEAKER_20
transcript.pyannote[1646].start 11107.59471875
transcript.pyannote[1646].end 11143.89284375
transcript.pyannote[1647].speaker SPEAKER_28
transcript.pyannote[1647].start 11109.38346875
transcript.pyannote[1647].end 11109.88971875
transcript.pyannote[1648].speaker SPEAKER_22
transcript.pyannote[1648].start 11143.70721875
transcript.pyannote[1648].end 11152.80284375
transcript.pyannote[1649].speaker SPEAKER_22
transcript.pyannote[1649].start 11152.90409375
transcript.pyannote[1649].end 11155.82346875
transcript.pyannote[1650].speaker SPEAKER_22
transcript.pyannote[1650].start 11156.11034375
transcript.pyannote[1650].end 11161.17284375
transcript.pyannote[1651].speaker SPEAKER_22
transcript.pyannote[1651].start 11161.44284375
transcript.pyannote[1651].end 11164.53096875
transcript.pyannote[1652].speaker SPEAKER_22
transcript.pyannote[1652].start 11164.66596875
transcript.pyannote[1652].end 11170.28534375
transcript.pyannote[1653].speaker SPEAKER_22
transcript.pyannote[1653].start 11172.54659375
transcript.pyannote[1653].end 11172.93471875
transcript.pyannote[1654].speaker SPEAKER_22
transcript.pyannote[1654].start 11174.79096875
transcript.pyannote[1654].end 11175.21284375
transcript.pyannote[1655].speaker SPEAKER_22
transcript.pyannote[1655].start 11175.70221875
transcript.pyannote[1655].end 11182.84034375
transcript.pyannote[1656].speaker SPEAKER_22
transcript.pyannote[1656].start 11186.01284375
transcript.pyannote[1656].end 11191.09221875
transcript.pyannote[1657].speaker SPEAKER_22
transcript.pyannote[1657].start 11191.75034375
transcript.pyannote[1657].end 11200.87971875
transcript.pyannote[1658].speaker SPEAKER_22
transcript.pyannote[1658].start 11201.62221875
transcript.pyannote[1658].end 11207.34284375
transcript.pyannote[1659].speaker SPEAKER_22
transcript.pyannote[1659].start 11207.66346875
transcript.pyannote[1659].end 11209.31721875
transcript.pyannote[1660].speaker SPEAKER_22
transcript.pyannote[1660].start 11211.10596875
transcript.pyannote[1660].end 11213.31659375
transcript.pyannote[1661].speaker SPEAKER_22
transcript.pyannote[1661].start 11214.24471875
transcript.pyannote[1661].end 11216.69159375
transcript.pyannote[1662].speaker SPEAKER_22
transcript.pyannote[1662].start 11217.45096875
transcript.pyannote[1662].end 11219.37471875
transcript.pyannote[1663].speaker SPEAKER_04
transcript.pyannote[1663].start 11221.23096875
transcript.pyannote[1663].end 11246.15534375
transcript.pyannote[1664].speaker SPEAKER_22
transcript.pyannote[1664].start 11247.20159375
transcript.pyannote[1664].end 11253.58034375
transcript.pyannote[1665].speaker SPEAKER_04
transcript.pyannote[1665].start 11251.47096875
transcript.pyannote[1665].end 11251.48784375
transcript.pyannote[1666].speaker SPEAKER_20
transcript.pyannote[1666].start 11251.48784375
transcript.pyannote[1666].end 11262.96284375
transcript.pyannote[1667].speaker SPEAKER_22
transcript.pyannote[1667].start 11259.90846875
transcript.pyannote[1667].end 11262.69284375
transcript.pyannote[1668].speaker SPEAKER_22
transcript.pyannote[1668].start 11262.94596875
transcript.pyannote[1668].end 11268.90284375
transcript.pyannote[1669].speaker SPEAKER_20
transcript.pyannote[1669].start 11262.97971875
transcript.pyannote[1669].end 11263.08096875
transcript.pyannote[1670].speaker SPEAKER_22
transcript.pyannote[1670].start 11269.29096875
transcript.pyannote[1670].end 11274.96096875
transcript.pyannote[1671].speaker SPEAKER_22
transcript.pyannote[1671].start 11275.29846875
transcript.pyannote[1671].end 11282.18346875
transcript.pyannote[1672].speaker SPEAKER_22
transcript.pyannote[1672].start 11282.33534375
transcript.pyannote[1672].end 11283.02721875
transcript.pyannote[1673].speaker SPEAKER_22
transcript.pyannote[1673].start 11283.31409375
transcript.pyannote[1673].end 11284.49534375
transcript.pyannote[1674].speaker SPEAKER_28
transcript.pyannote[1674].start 11283.43221875
transcript.pyannote[1674].end 11285.59221875
transcript.pyannote[1675].speaker SPEAKER_22
transcript.pyannote[1675].start 11285.49096875
transcript.pyannote[1675].end 11293.10159375
transcript.pyannote[1676].speaker SPEAKER_04
transcript.pyannote[1676].start 11293.01721875
transcript.pyannote[1676].end 11293.08471875
transcript.pyannote[1677].speaker SPEAKER_04
transcript.pyannote[1677].start 11293.10159375
transcript.pyannote[1677].end 11293.30409375
transcript.pyannote[1678].speaker SPEAKER_22
transcript.pyannote[1678].start 11293.30409375
transcript.pyannote[1678].end 11293.32096875
transcript.pyannote[1679].speaker SPEAKER_04
transcript.pyannote[1679].start 11293.32096875
transcript.pyannote[1679].end 11293.33784375
transcript.pyannote[1680].speaker SPEAKER_22
transcript.pyannote[1680].start 11293.33784375
transcript.pyannote[1680].end 11294.82284375
transcript.pyannote[1681].speaker SPEAKER_04
transcript.pyannote[1681].start 11293.38846875
transcript.pyannote[1681].end 11296.20659375
transcript.pyannote[1682].speaker SPEAKER_22
transcript.pyannote[1682].start 11295.90284375
transcript.pyannote[1682].end 11296.94909375
transcript.pyannote[1683].speaker SPEAKER_04
transcript.pyannote[1683].start 11296.27409375
transcript.pyannote[1683].end 11305.43721875
transcript.pyannote[1684].speaker SPEAKER_22
transcript.pyannote[1684].start 11299.39596875
transcript.pyannote[1684].end 11300.07096875
transcript.pyannote[1685].speaker SPEAKER_22
transcript.pyannote[1685].start 11304.91409375
transcript.pyannote[1685].end 11314.66784375
transcript.pyannote[1686].speaker SPEAKER_04
transcript.pyannote[1686].start 11308.50846875
transcript.pyannote[1686].end 11311.15784375
transcript.pyannote[1687].speaker SPEAKER_00
transcript.pyannote[1687].start 11311.15784375
transcript.pyannote[1687].end 11311.17471875
transcript.pyannote[1688].speaker SPEAKER_22
transcript.pyannote[1688].start 11314.97159375
transcript.pyannote[1688].end 11321.73846875
transcript.pyannote[1689].speaker SPEAKER_22
transcript.pyannote[1689].start 11322.05909375
transcript.pyannote[1689].end 11326.07534375
transcript.pyannote[1690].speaker SPEAKER_04
transcript.pyannote[1690].start 11322.17721875
transcript.pyannote[1690].end 11322.29534375
transcript.pyannote[1691].speaker SPEAKER_04
transcript.pyannote[1691].start 11322.36284375
transcript.pyannote[1691].end 11322.49784375
transcript.pyannote[1692].speaker SPEAKER_04
transcript.pyannote[1692].start 11325.70409375
transcript.pyannote[1692].end 11337.93846875
transcript.pyannote[1693].speaker SPEAKER_22
transcript.pyannote[1693].start 11337.87096875
transcript.pyannote[1693].end 11345.68409375
transcript.pyannote[1694].speaker SPEAKER_22
transcript.pyannote[1694].start 11346.03846875
transcript.pyannote[1694].end 11348.89034375
transcript.pyannote[1695].speaker SPEAKER_22
transcript.pyannote[1695].start 11349.37971875
transcript.pyannote[1695].end 11352.13034375
transcript.pyannote[1696].speaker SPEAKER_24
transcript.pyannote[1696].start 11354.86409375
transcript.pyannote[1696].end 11357.80034375
transcript.pyannote[1697].speaker SPEAKER_24
transcript.pyannote[1697].start 11358.39096875
transcript.pyannote[1697].end 11363.18346875
transcript.pyannote[1698].speaker SPEAKER_24
transcript.pyannote[1698].start 11363.60534375
transcript.pyannote[1698].end 11370.38909375
transcript.pyannote[1699].speaker SPEAKER_22
transcript.pyannote[1699].start 11369.57909375
transcript.pyannote[1699].end 11379.77159375
transcript.pyannote[1700].speaker SPEAKER_22
transcript.pyannote[1700].start 11380.91909375
transcript.pyannote[1700].end 11381.37471875
transcript.pyannote[1701].speaker SPEAKER_22
transcript.pyannote[1701].start 11383.14659375
transcript.pyannote[1701].end 11383.56846875
transcript.pyannote[1702].speaker SPEAKER_22
transcript.pyannote[1702].start 11384.39534375
transcript.pyannote[1702].end 11391.02721875
transcript.pyannote[1703].speaker SPEAKER_22
transcript.pyannote[1703].start 11392.10721875
transcript.pyannote[1703].end 11392.46159375
transcript.pyannote[1704].speaker SPEAKER_22
transcript.pyannote[1704].start 11392.91721875
transcript.pyannote[1704].end 11394.43596875
transcript.pyannote[1705].speaker SPEAKER_28
transcript.pyannote[1705].start 11394.55409375
transcript.pyannote[1705].end 11394.84096875
transcript.pyannote[1706].speaker SPEAKER_22
transcript.pyannote[1706].start 11395.00971875
transcript.pyannote[1706].end 11405.86034375
transcript.pyannote[1707].speaker SPEAKER_20
transcript.pyannote[1707].start 11398.75596875
transcript.pyannote[1707].end 11398.95846875
transcript.pyannote[1708].speaker SPEAKER_20
transcript.pyannote[1708].start 11403.71721875
transcript.pyannote[1708].end 11403.78471875
transcript.pyannote[1709].speaker SPEAKER_33
transcript.pyannote[1709].start 11403.78471875
transcript.pyannote[1709].end 11405.15159375
transcript.pyannote[1710].speaker SPEAKER_33
transcript.pyannote[1710].start 11405.18534375
transcript.pyannote[1710].end 11405.21909375
transcript.pyannote[1711].speaker SPEAKER_22
transcript.pyannote[1711].start 11406.23159375
transcript.pyannote[1711].end 11408.00346875
transcript.pyannote[1712].speaker SPEAKER_33
transcript.pyannote[1712].start 11408.00346875
transcript.pyannote[1712].end 11408.20596875
transcript.pyannote[1713].speaker SPEAKER_22
transcript.pyannote[1713].start 11408.20596875
transcript.pyannote[1713].end 11408.22284375
transcript.pyannote[1714].speaker SPEAKER_33
transcript.pyannote[1714].start 11409.65721875
transcript.pyannote[1714].end 11420.99721875
transcript.pyannote[1715].speaker SPEAKER_22
transcript.pyannote[1715].start 11420.77784375
transcript.pyannote[1715].end 11425.67159375
transcript.pyannote[1716].speaker SPEAKER_22
transcript.pyannote[1716].start 11426.95409375
transcript.pyannote[1716].end 11433.06284375
transcript.pyannote[1717].speaker SPEAKER_30
transcript.pyannote[1717].start 11440.16721875
transcript.pyannote[1717].end 11461.83471875
transcript.pyannote[1718].speaker SPEAKER_30
transcript.pyannote[1718].start 11462.27346875
transcript.pyannote[1718].end 11478.62534375
transcript.pyannote[1719].speaker SPEAKER_30
transcript.pyannote[1719].start 11479.68846875
transcript.pyannote[1719].end 11481.15659375
transcript.pyannote[1720].speaker SPEAKER_30
transcript.pyannote[1720].start 11482.40534375
transcript.pyannote[1720].end 11498.90909375
transcript.pyannote[1721].speaker SPEAKER_30
transcript.pyannote[1721].start 11499.46596875
transcript.pyannote[1721].end 11505.67596875
transcript.pyannote[1722].speaker SPEAKER_22
transcript.pyannote[1722].start 11505.99659375
transcript.pyannote[1722].end 11535.94971875
transcript.pyannote[1723].speaker SPEAKER_22
transcript.pyannote[1723].start 11536.40534375
transcript.pyannote[1723].end 11550.61409375
transcript.pyannote[1724].speaker SPEAKER_22
transcript.pyannote[1724].start 11550.86721875
transcript.pyannote[1724].end 11552.41971875
transcript.pyannote[1725].speaker SPEAKER_19
transcript.pyannote[1725].start 11552.41971875
transcript.pyannote[1725].end 11552.43659375
transcript.pyannote[1726].speaker SPEAKER_19
transcript.pyannote[1726].start 11552.70659375
transcript.pyannote[1726].end 11562.71346875
transcript.pyannote[1727].speaker SPEAKER_19
transcript.pyannote[1727].start 11562.86534375
transcript.pyannote[1727].end 11578.69409375
transcript.pyannote[1728].speaker SPEAKER_00
transcript.pyannote[1728].start 11567.33721875
transcript.pyannote[1728].end 11567.42159375
transcript.pyannote[1729].speaker SPEAKER_23
transcript.pyannote[1729].start 11567.42159375
transcript.pyannote[1729].end 11567.50596875
transcript.pyannote[1730].speaker SPEAKER_00
transcript.pyannote[1730].start 11567.50596875
transcript.pyannote[1730].end 11567.53971875
transcript.pyannote[1731].speaker SPEAKER_22
transcript.pyannote[1731].start 11579.20034375
transcript.pyannote[1731].end 11579.25096875
transcript.pyannote[1732].speaker SPEAKER_19
transcript.pyannote[1732].start 11579.25096875
transcript.pyannote[1732].end 11579.30159375
transcript.pyannote[1733].speaker SPEAKER_22
transcript.pyannote[1733].start 11579.30159375
transcript.pyannote[1733].end 11579.31846875
transcript.pyannote[1734].speaker SPEAKER_19
transcript.pyannote[1734].start 11579.31846875
transcript.pyannote[1734].end 11579.45346875
transcript.pyannote[1735].speaker SPEAKER_22
transcript.pyannote[1735].start 11579.45346875
transcript.pyannote[1735].end 11579.58846875
transcript.pyannote[1736].speaker SPEAKER_22
transcript.pyannote[1736].start 11579.79096875
transcript.pyannote[1736].end 11588.43096875
transcript.pyannote[1737].speaker SPEAKER_10
transcript.pyannote[1737].start 11588.66721875
transcript.pyannote[1737].end 11592.64971875
transcript.pyannote[1738].speaker SPEAKER_22
transcript.pyannote[1738].start 11589.78096875
transcript.pyannote[1738].end 11590.28721875
transcript.pyannote[1739].speaker SPEAKER_10
transcript.pyannote[1739].start 11593.08846875
transcript.pyannote[1739].end 11594.13471875
transcript.pyannote[1740].speaker SPEAKER_10
transcript.pyannote[1740].start 11594.43846875
transcript.pyannote[1740].end 11595.90659375
transcript.pyannote[1741].speaker SPEAKER_10
transcript.pyannote[1741].start 11597.12159375
transcript.pyannote[1741].end 11599.88909375
transcript.pyannote[1742].speaker SPEAKER_10
transcript.pyannote[1742].start 11600.32784375
transcript.pyannote[1742].end 11607.65159375
transcript.pyannote[1743].speaker SPEAKER_10
transcript.pyannote[1743].start 11607.76971875
transcript.pyannote[1743].end 11609.91284375
transcript.pyannote[1744].speaker SPEAKER_10
transcript.pyannote[1744].start 11610.38534375
transcript.pyannote[1744].end 11613.25409375
transcript.pyannote[1745].speaker SPEAKER_10
transcript.pyannote[1745].start 11614.21596875
transcript.pyannote[1745].end 11614.77284375
transcript.pyannote[1746].speaker SPEAKER_10
transcript.pyannote[1746].start 11616.07221875
transcript.pyannote[1746].end 11626.16346875
transcript.pyannote[1747].speaker SPEAKER_10
transcript.pyannote[1747].start 11626.55159375
transcript.pyannote[1747].end 11630.73659375
transcript.pyannote[1748].speaker SPEAKER_10
transcript.pyannote[1748].start 11631.12471875
transcript.pyannote[1748].end 11654.04096875
transcript.pyannote[1749].speaker SPEAKER_10
transcript.pyannote[1749].start 11654.44596875
transcript.pyannote[1749].end 11654.76659375
transcript.pyannote[1750].speaker SPEAKER_10
transcript.pyannote[1750].start 11655.18846875
transcript.pyannote[1750].end 11662.27596875
transcript.pyannote[1751].speaker SPEAKER_10
transcript.pyannote[1751].start 11662.76534375
transcript.pyannote[1751].end 11671.77659375
transcript.pyannote[1752].speaker SPEAKER_10
transcript.pyannote[1752].start 11672.21534375
transcript.pyannote[1752].end 11692.71846875
transcript.pyannote[1753].speaker SPEAKER_10
transcript.pyannote[1753].start 11693.12346875
transcript.pyannote[1753].end 11693.73096875
transcript.pyannote[1754].speaker SPEAKER_10
transcript.pyannote[1754].start 11694.13596875
transcript.pyannote[1754].end 11702.94471875
transcript.pyannote[1755].speaker SPEAKER_22
transcript.pyannote[1755].start 11703.31596875
transcript.pyannote[1755].end 11704.02471875
transcript.pyannote[1756].speaker SPEAKER_19
transcript.pyannote[1756].start 11704.02471875
transcript.pyannote[1756].end 11721.03471875
transcript.pyannote[1757].speaker SPEAKER_19
transcript.pyannote[1757].start 11721.82784375
transcript.pyannote[1757].end 11737.26846875
transcript.pyannote[1758].speaker SPEAKER_22
transcript.pyannote[1758].start 11722.78971875
transcript.pyannote[1758].end 11723.97096875
transcript.pyannote[1759].speaker SPEAKER_15
transcript.pyannote[1759].start 11723.97096875
transcript.pyannote[1759].end 11723.98784375
transcript.pyannote[1760].speaker SPEAKER_22
transcript.pyannote[1760].start 11737.31909375
transcript.pyannote[1760].end 11737.75784375
transcript.pyannote[1761].speaker SPEAKER_22
transcript.pyannote[1761].start 11738.88846875
transcript.pyannote[1761].end 11747.20784375
transcript.pyannote[1762].speaker SPEAKER_30
transcript.pyannote[1762].start 11749.31721875
transcript.pyannote[1762].end 11751.49409375
transcript.pyannote[1763].speaker SPEAKER_30
transcript.pyannote[1763].start 11751.88221875
transcript.pyannote[1763].end 11759.30721875
transcript.pyannote[1764].speaker SPEAKER_30
transcript.pyannote[1764].start 11760.15096875
transcript.pyannote[1764].end 11769.04409375
transcript.pyannote[1765].speaker SPEAKER_30
transcript.pyannote[1765].start 11769.19596875
transcript.pyannote[1765].end 11769.80346875
transcript.pyannote[1766].speaker SPEAKER_30
transcript.pyannote[1766].start 11770.27596875
transcript.pyannote[1766].end 11777.75159375
transcript.pyannote[1767].speaker SPEAKER_22
transcript.pyannote[1767].start 11777.29596875
transcript.pyannote[1767].end 11783.16846875
transcript.pyannote[1768].speaker SPEAKER_30
transcript.pyannote[1768].start 11778.86534375
transcript.pyannote[1768].end 11779.59096875
transcript.pyannote[1769].speaker SPEAKER_30
transcript.pyannote[1769].start 11781.70034375
transcript.pyannote[1769].end 11783.13471875
transcript.pyannote[1770].speaker SPEAKER_30
transcript.pyannote[1770].start 11783.15159375
transcript.pyannote[1770].end 11783.16846875
transcript.pyannote[1771].speaker SPEAKER_27
transcript.pyannote[1771].start 11783.16846875
transcript.pyannote[1771].end 11783.21909375
transcript.pyannote[1772].speaker SPEAKER_30
transcript.pyannote[1772].start 11783.21909375
transcript.pyannote[1772].end 11800.06034375
transcript.pyannote[1773].speaker SPEAKER_22
transcript.pyannote[1773].start 11783.26971875
transcript.pyannote[1773].end 11783.30346875
transcript.pyannote[1774].speaker SPEAKER_27
transcript.pyannote[1774].start 11783.30346875
transcript.pyannote[1774].end 11783.33721875
transcript.pyannote[1775].speaker SPEAKER_22
transcript.pyannote[1775].start 11783.33721875
transcript.pyannote[1775].end 11783.40471875
transcript.pyannote[1776].speaker SPEAKER_27
transcript.pyannote[1776].start 11783.40471875
transcript.pyannote[1776].end 11784.04596875
transcript.pyannote[1777].speaker SPEAKER_30
transcript.pyannote[1777].start 11800.49909375
transcript.pyannote[1777].end 11801.24159375
transcript.pyannote[1778].speaker SPEAKER_30
transcript.pyannote[1778].start 11801.88284375
transcript.pyannote[1778].end 11807.13096875
transcript.pyannote[1779].speaker SPEAKER_22
transcript.pyannote[1779].start 11805.81471875
transcript.pyannote[1779].end 11828.24159375
transcript.pyannote[1780].speaker SPEAKER_22
transcript.pyannote[1780].start 11830.57034375
transcript.pyannote[1780].end 11834.45159375
transcript.pyannote[1781].speaker SPEAKER_24
transcript.pyannote[1781].start 11833.74284375
transcript.pyannote[1781].end 11848.17096875
transcript.pyannote[1782].speaker SPEAKER_22
transcript.pyannote[1782].start 11848.15409375
transcript.pyannote[1782].end 11853.99284375
transcript.pyannote[1783].speaker SPEAKER_22
transcript.pyannote[1783].start 11854.11096875
transcript.pyannote[1783].end 11861.58659375
transcript.pyannote[1784].speaker SPEAKER_22
transcript.pyannote[1784].start 11861.97471875
transcript.pyannote[1784].end 11863.59471875
transcript.pyannote[1785].speaker SPEAKER_10
transcript.pyannote[1785].start 11864.25284375
transcript.pyannote[1785].end 11864.69159375
transcript.pyannote[1786].speaker SPEAKER_22
transcript.pyannote[1786].start 11864.79284375
transcript.pyannote[1786].end 11865.11346875
transcript.pyannote[1787].speaker SPEAKER_10
transcript.pyannote[1787].start 11865.95721875
transcript.pyannote[1787].end 11867.13846875
transcript.pyannote[1788].speaker SPEAKER_22
transcript.pyannote[1788].start 11867.13846875
transcript.pyannote[1788].end 11867.45909375
transcript.pyannote[1789].speaker SPEAKER_10
transcript.pyannote[1789].start 11867.72909375
transcript.pyannote[1789].end 11879.71034375
transcript.pyannote[1790].speaker SPEAKER_09
transcript.pyannote[1790].start 11870.69909375
transcript.pyannote[1790].end 11870.71596875
transcript.pyannote[1791].speaker SPEAKER_22
transcript.pyannote[1791].start 11870.71596875
transcript.pyannote[1791].end 11871.13784375
transcript.pyannote[1792].speaker SPEAKER_22
transcript.pyannote[1792].start 11874.10784375
transcript.pyannote[1792].end 11875.42409375
transcript.pyannote[1793].speaker SPEAKER_10
transcript.pyannote[1793].start 11880.30096875
transcript.pyannote[1793].end 11881.24596875
transcript.pyannote[1794].speaker SPEAKER_22
transcript.pyannote[1794].start 11881.24596875
transcript.pyannote[1794].end 11881.26284375
transcript.pyannote[1795].speaker SPEAKER_10
transcript.pyannote[1795].start 11881.92096875
transcript.pyannote[1795].end 11883.03471875
transcript.pyannote[1796].speaker SPEAKER_22
transcript.pyannote[1796].start 11883.03471875
transcript.pyannote[1796].end 11893.09221875
transcript.pyannote[1797].speaker SPEAKER_22
transcript.pyannote[1797].start 11894.89784375
transcript.pyannote[1797].end 11895.91034375
transcript.pyannote[1798].speaker SPEAKER_22
transcript.pyannote[1798].start 11896.28159375
transcript.pyannote[1798].end 11898.66096875
transcript.pyannote[1799].speaker SPEAKER_10
transcript.pyannote[1799].start 11902.84596875
transcript.pyannote[1799].end 11904.97221875
transcript.pyannote[1800].speaker SPEAKER_10
transcript.pyannote[1800].start 11905.34346875
transcript.pyannote[1800].end 11911.57034375
transcript.pyannote[1801].speaker SPEAKER_28
transcript.pyannote[1801].start 11909.78159375
transcript.pyannote[1801].end 11909.83221875
transcript.pyannote[1802].speaker SPEAKER_16
transcript.pyannote[1802].start 11909.83221875
transcript.pyannote[1802].end 11910.00096875
transcript.pyannote[1803].speaker SPEAKER_10
transcript.pyannote[1803].start 11911.73909375
transcript.pyannote[1803].end 11912.44784375
transcript.pyannote[1804].speaker SPEAKER_10
transcript.pyannote[1804].start 11912.65034375
transcript.pyannote[1804].end 11915.33346875
transcript.pyannote[1805].speaker SPEAKER_22
transcript.pyannote[1805].start 11915.13096875
transcript.pyannote[1805].end 11917.69596875
transcript.pyannote[1806].speaker SPEAKER_10
transcript.pyannote[1806].start 11917.32471875
transcript.pyannote[1806].end 11938.33409375
transcript.pyannote[1807].speaker SPEAKER_22
transcript.pyannote[1807].start 11919.90659375
transcript.pyannote[1807].end 11920.21034375
transcript.pyannote[1808].speaker SPEAKER_22
transcript.pyannote[1808].start 11921.07096875
transcript.pyannote[1808].end 11924.26034375
transcript.pyannote[1809].speaker SPEAKER_15
transcript.pyannote[1809].start 11924.26034375
transcript.pyannote[1809].end 11924.31096875
transcript.pyannote[1810].speaker SPEAKER_10
transcript.pyannote[1810].start 11939.11034375
transcript.pyannote[1810].end 11942.72159375
transcript.pyannote[1811].speaker SPEAKER_19
transcript.pyannote[1811].start 11940.69659375
transcript.pyannote[1811].end 11956.98096875
transcript.pyannote[1812].speaker SPEAKER_22
transcript.pyannote[1812].start 11943.80159375
transcript.pyannote[1812].end 11943.90284375
transcript.pyannote[1813].speaker SPEAKER_10
transcript.pyannote[1813].start 11943.90284375
transcript.pyannote[1813].end 11943.95346875
transcript.pyannote[1814].speaker SPEAKER_22
transcript.pyannote[1814].start 11943.95346875
transcript.pyannote[1814].end 11943.97034375
transcript.pyannote[1815].speaker SPEAKER_19
transcript.pyannote[1815].start 11957.97659375
transcript.pyannote[1815].end 11958.97221875
transcript.pyannote[1816].speaker SPEAKER_22
transcript.pyannote[1816].start 11958.97221875
transcript.pyannote[1816].end 11979.40784375
transcript.pyannote[1817].speaker SPEAKER_22
transcript.pyannote[1817].start 11979.81284375
transcript.pyannote[1817].end 11985.93846875
transcript.pyannote[1818].speaker SPEAKER_28
transcript.pyannote[1818].start 11982.25971875
transcript.pyannote[1818].end 11982.46221875
transcript.pyannote[1819].speaker SPEAKER_33
transcript.pyannote[1819].start 11982.46221875
transcript.pyannote[1819].end 11982.74909375
transcript.pyannote[1820].speaker SPEAKER_33
transcript.pyannote[1820].start 11983.25534375
transcript.pyannote[1820].end 11983.62659375
transcript.pyannote[1821].speaker SPEAKER_33
transcript.pyannote[1821].start 11985.02721875
transcript.pyannote[1821].end 11985.07784375
transcript.pyannote[1822].speaker SPEAKER_33
transcript.pyannote[1822].start 11985.93846875
transcript.pyannote[1822].end 11996.63721875
transcript.pyannote[1823].speaker SPEAKER_22
transcript.pyannote[1823].start 11995.70909375
transcript.pyannote[1823].end 11996.02971875
transcript.pyannote[1824].speaker SPEAKER_22
transcript.pyannote[1824].start 11996.63721875
transcript.pyannote[1824].end 12003.72471875
transcript.pyannote[1825].speaker SPEAKER_33
transcript.pyannote[1825].start 11996.75534375
transcript.pyannote[1825].end 11997.02534375
transcript.pyannote[1826].speaker SPEAKER_22
transcript.pyannote[1826].start 12004.36596875
transcript.pyannote[1826].end 12011.65596875
transcript.pyannote[1827].speaker SPEAKER_33
transcript.pyannote[1827].start 12012.87096875
transcript.pyannote[1827].end 12013.47846875
transcript.pyannote[1828].speaker SPEAKER_33
transcript.pyannote[1828].start 12013.93409375
transcript.pyannote[1828].end 12016.71846875
transcript.pyannote[1829].speaker SPEAKER_22
transcript.pyannote[1829].start 12017.91659375
transcript.pyannote[1829].end 12017.93346875
transcript.pyannote[1830].speaker SPEAKER_33
transcript.pyannote[1830].start 12017.93346875
transcript.pyannote[1830].end 12017.96721875
transcript.pyannote[1831].speaker SPEAKER_22
transcript.pyannote[1831].start 12017.96721875
transcript.pyannote[1831].end 12018.03471875
transcript.pyannote[1832].speaker SPEAKER_33
transcript.pyannote[1832].start 12018.03471875
transcript.pyannote[1832].end 12033.39096875
transcript.pyannote[1833].speaker SPEAKER_22
transcript.pyannote[1833].start 12018.18659375
transcript.pyannote[1833].end 12018.91221875
transcript.pyannote[1834].speaker SPEAKER_22
transcript.pyannote[1834].start 12033.39096875
transcript.pyannote[1834].end 12033.40784375
transcript.pyannote[1835].speaker SPEAKER_33
transcript.pyannote[1835].start 12033.40784375
transcript.pyannote[1835].end 12033.42471875
transcript.pyannote[1836].speaker SPEAKER_22
transcript.pyannote[1836].start 12033.42471875
transcript.pyannote[1836].end 12041.03534375
transcript.pyannote[1837].speaker SPEAKER_33
transcript.pyannote[1837].start 12038.16659375
transcript.pyannote[1837].end 12038.55471875
transcript.pyannote[1838].speaker SPEAKER_33
transcript.pyannote[1838].start 12040.51221875
transcript.pyannote[1838].end 12045.01784375
transcript.pyannote[1839].speaker SPEAKER_22
transcript.pyannote[1839].start 12046.67159375
transcript.pyannote[1839].end 12048.84846875
transcript.pyannote[1840].speaker SPEAKER_33
transcript.pyannote[1840].start 12047.11034375
transcript.pyannote[1840].end 12048.86534375
transcript.pyannote[1841].speaker SPEAKER_33
transcript.pyannote[1841].start 12049.35471875
transcript.pyannote[1841].end 12049.59096875
transcript.pyannote[1842].speaker SPEAKER_22
transcript.pyannote[1842].start 12050.04659375
transcript.pyannote[1842].end 12050.35034375
transcript.pyannote[1843].speaker SPEAKER_33
transcript.pyannote[1843].start 12050.46846875
transcript.pyannote[1843].end 12050.77221875
transcript.pyannote[1844].speaker SPEAKER_22
transcript.pyannote[1844].start 12050.85659375
transcript.pyannote[1844].end 12051.34596875
transcript.pyannote[1845].speaker SPEAKER_22
transcript.pyannote[1845].start 12052.00409375
transcript.pyannote[1845].end 12052.30784375
transcript.pyannote[1846].speaker SPEAKER_22
transcript.pyannote[1846].start 12052.84784375
transcript.pyannote[1846].end 12058.92284375
transcript.pyannote[1847].speaker SPEAKER_03
transcript.pyannote[1847].start 12057.33659375
transcript.pyannote[1847].end 12057.87659375
transcript.pyannote[1848].speaker SPEAKER_22
transcript.pyannote[1848].start 12059.10846875
transcript.pyannote[1848].end 12059.91846875
transcript.pyannote[1849].speaker SPEAKER_22
transcript.pyannote[1849].start 12060.28971875
transcript.pyannote[1849].end 12060.30659375
transcript.pyannote[1850].speaker SPEAKER_03
transcript.pyannote[1850].start 12060.30659375
transcript.pyannote[1850].end 12063.71534375
transcript.pyannote[1851].speaker SPEAKER_22
transcript.pyannote[1851].start 12060.74534375
transcript.pyannote[1851].end 12063.10784375
transcript.pyannote[1852].speaker SPEAKER_22
transcript.pyannote[1852].start 12063.47909375
transcript.pyannote[1852].end 12064.23846875
transcript.pyannote[1853].speaker SPEAKER_03
transcript.pyannote[1853].start 12064.08659375
transcript.pyannote[1853].end 12068.38971875
transcript.pyannote[1854].speaker SPEAKER_22
transcript.pyannote[1854].start 12064.54221875
transcript.pyannote[1854].end 12065.03159375
transcript.pyannote[1855].speaker SPEAKER_23
transcript.pyannote[1855].start 12065.03159375
transcript.pyannote[1855].end 12065.04846875
transcript.pyannote[1856].speaker SPEAKER_22
transcript.pyannote[1856].start 12066.61784375
transcript.pyannote[1856].end 12066.66846875
transcript.pyannote[1857].speaker SPEAKER_23
transcript.pyannote[1857].start 12066.66846875
transcript.pyannote[1857].end 12066.76971875
transcript.pyannote[1858].speaker SPEAKER_22
transcript.pyannote[1858].start 12066.76971875
transcript.pyannote[1858].end 12066.80346875
transcript.pyannote[1859].speaker SPEAKER_23
transcript.pyannote[1859].start 12068.11971875
transcript.pyannote[1859].end 12068.37284375
transcript.pyannote[1860].speaker SPEAKER_23
transcript.pyannote[1860].start 12068.38971875
transcript.pyannote[1860].end 12068.42346875
transcript.pyannote[1861].speaker SPEAKER_03
transcript.pyannote[1861].start 12068.42346875
transcript.pyannote[1861].end 12068.96346875
transcript.pyannote[1862].speaker SPEAKER_03
transcript.pyannote[1862].start 12069.94221875
transcript.pyannote[1862].end 12076.54034375
transcript.pyannote[1863].speaker SPEAKER_03
transcript.pyannote[1863].start 12077.23221875
transcript.pyannote[1863].end 12078.07596875
transcript.pyannote[1864].speaker SPEAKER_22
transcript.pyannote[1864].start 12078.37971875
transcript.pyannote[1864].end 12078.80159375
transcript.pyannote[1865].speaker SPEAKER_03
transcript.pyannote[1865].start 12078.75096875
transcript.pyannote[1865].end 12080.57346875
transcript.pyannote[1866].speaker SPEAKER_22
transcript.pyannote[1866].start 12080.01659375
transcript.pyannote[1866].end 12081.94034375
transcript.pyannote[1867].speaker SPEAKER_03
transcript.pyannote[1867].start 12081.63659375
transcript.pyannote[1867].end 12084.42096875
transcript.pyannote[1868].speaker SPEAKER_03
transcript.pyannote[1868].start 12084.69096875
transcript.pyannote[1868].end 12099.27096875
transcript.pyannote[1869].speaker SPEAKER_03
transcript.pyannote[1869].start 12099.96284375
transcript.pyannote[1869].end 12101.17784375
transcript.pyannote[1870].speaker SPEAKER_22
transcript.pyannote[1870].start 12101.05971875
transcript.pyannote[1870].end 12104.75534375
transcript.pyannote[1871].speaker SPEAKER_03
transcript.pyannote[1871].start 12103.72596875
transcript.pyannote[1871].end 12107.43846875
transcript.pyannote[1872].speaker SPEAKER_22
transcript.pyannote[1872].start 12105.02534375
transcript.pyannote[1872].end 12105.14346875
transcript.pyannote[1873].speaker SPEAKER_22
transcript.pyannote[1873].start 12105.63284375
transcript.pyannote[1873].end 12114.15471875
transcript.pyannote[1874].speaker SPEAKER_22
transcript.pyannote[1874].start 12114.52596875
transcript.pyannote[1874].end 12134.48909375
transcript.pyannote[1875].speaker SPEAKER_22
transcript.pyannote[1875].start 12135.21471875
transcript.pyannote[1875].end 12135.55221875
transcript.pyannote[1876].speaker SPEAKER_22
transcript.pyannote[1876].start 12136.76721875
transcript.pyannote[1876].end 12138.79221875
transcript.pyannote[1877].speaker SPEAKER_22
transcript.pyannote[1877].start 12139.83846875
transcript.pyannote[1877].end 12148.41096875
transcript.pyannote[1878].speaker SPEAKER_28
transcript.pyannote[1878].start 12140.34471875
transcript.pyannote[1878].end 12140.69909375
transcript.pyannote[1879].speaker SPEAKER_22
transcript.pyannote[1879].start 12148.86659375
transcript.pyannote[1879].end 12162.70409375
transcript.pyannote[1880].speaker SPEAKER_22
transcript.pyannote[1880].start 12164.93159375
transcript.pyannote[1880].end 12166.28159375
transcript.pyannote[1881].speaker SPEAKER_22
transcript.pyannote[1881].start 12167.61471875
transcript.pyannote[1881].end 12168.81284375
transcript.pyannote[1882].speaker SPEAKER_13
transcript.pyannote[1882].start 12168.81284375
transcript.pyannote[1882].end 12172.62659375
transcript.pyannote[1883].speaker SPEAKER_13
transcript.pyannote[1883].start 12172.98096875
transcript.pyannote[1883].end 12174.51659375
transcript.pyannote[1884].speaker SPEAKER_13
transcript.pyannote[1884].start 12174.78659375
transcript.pyannote[1884].end 12185.13096875
transcript.pyannote[1885].speaker SPEAKER_13
transcript.pyannote[1885].start 12185.56971875
transcript.pyannote[1885].end 12188.87721875
transcript.pyannote[1886].speaker SPEAKER_28
transcript.pyannote[1886].start 12187.03784375
transcript.pyannote[1886].end 12187.10534375
transcript.pyannote[1887].speaker SPEAKER_25
transcript.pyannote[1887].start 12187.10534375
transcript.pyannote[1887].end 12187.12221875
transcript.pyannote[1888].speaker SPEAKER_28
transcript.pyannote[1888].start 12187.12221875
transcript.pyannote[1888].end 12187.18971875
transcript.pyannote[1889].speaker SPEAKER_25
transcript.pyannote[1889].start 12187.18971875
transcript.pyannote[1889].end 12187.35846875
transcript.pyannote[1890].speaker SPEAKER_28
transcript.pyannote[1890].start 12187.35846875
transcript.pyannote[1890].end 12187.45971875
transcript.pyannote[1891].speaker SPEAKER_13
transcript.pyannote[1891].start 12189.41721875
transcript.pyannote[1891].end 12190.04159375
transcript.pyannote[1892].speaker SPEAKER_13
transcript.pyannote[1892].start 12191.29034375
transcript.pyannote[1892].end 12226.06971875
transcript.pyannote[1893].speaker SPEAKER_22
transcript.pyannote[1893].start 12226.69409375
transcript.pyannote[1893].end 12230.69346875
transcript.pyannote[1894].speaker SPEAKER_13
transcript.pyannote[1894].start 12230.82846875
transcript.pyannote[1894].end 12230.84534375
transcript.pyannote[1895].speaker SPEAKER_32
transcript.pyannote[1895].start 12230.84534375
transcript.pyannote[1895].end 12235.78971875
transcript.pyannote[1896].speaker SPEAKER_22
transcript.pyannote[1896].start 12235.41846875
transcript.pyannote[1896].end 12242.77596875
transcript.pyannote[1897].speaker SPEAKER_32
transcript.pyannote[1897].start 12237.30846875
transcript.pyannote[1897].end 12240.09284375
transcript.pyannote[1898].speaker SPEAKER_32
transcript.pyannote[1898].start 12241.10534375
transcript.pyannote[1898].end 12248.10846875
transcript.pyannote[1899].speaker SPEAKER_32
transcript.pyannote[1899].start 12248.53034375
transcript.pyannote[1899].end 12272.49284375
transcript.pyannote[1900].speaker SPEAKER_32
transcript.pyannote[1900].start 12272.96534375
transcript.pyannote[1900].end 12273.82596875
transcript.pyannote[1901].speaker SPEAKER_32
transcript.pyannote[1901].start 12274.14659375
transcript.pyannote[1901].end 12276.52596875
transcript.pyannote[1902].speaker SPEAKER_13
transcript.pyannote[1902].start 12277.01534375
transcript.pyannote[1902].end 12281.63909375
transcript.pyannote[1903].speaker SPEAKER_32
transcript.pyannote[1903].start 12280.44096875
transcript.pyannote[1903].end 12284.99721875
transcript.pyannote[1904].speaker SPEAKER_13
transcript.pyannote[1904].start 12283.74846875
transcript.pyannote[1904].end 12293.38409375
transcript.pyannote[1905].speaker SPEAKER_32
transcript.pyannote[1905].start 12291.24096875
transcript.pyannote[1905].end 12298.93596875
transcript.pyannote[1906].speaker SPEAKER_32
transcript.pyannote[1906].start 12299.07096875
transcript.pyannote[1906].end 12300.42096875
transcript.pyannote[1907].speaker SPEAKER_10
transcript.pyannote[1907].start 12300.42096875
transcript.pyannote[1907].end 12302.07471875
transcript.pyannote[1908].speaker SPEAKER_10
transcript.pyannote[1908].start 12302.58096875
transcript.pyannote[1908].end 12305.14596875
transcript.pyannote[1909].speaker SPEAKER_10
transcript.pyannote[1909].start 12305.53409375
transcript.pyannote[1909].end 12307.06971875
transcript.pyannote[1910].speaker SPEAKER_10
transcript.pyannote[1910].start 12307.32284375
transcript.pyannote[1910].end 12310.20846875
transcript.pyannote[1911].speaker SPEAKER_10
transcript.pyannote[1911].start 12310.49534375
transcript.pyannote[1911].end 12347.11409375
transcript.pyannote[1912].speaker SPEAKER_10
transcript.pyannote[1912].start 12347.56971875
transcript.pyannote[1912].end 12353.08784375
transcript.pyannote[1913].speaker SPEAKER_10
transcript.pyannote[1913].start 12353.44221875
transcript.pyannote[1913].end 12360.31034375
transcript.pyannote[1914].speaker SPEAKER_10
transcript.pyannote[1914].start 12361.10346875
transcript.pyannote[1914].end 12367.27971875
transcript.pyannote[1915].speaker SPEAKER_10
transcript.pyannote[1915].start 12367.43159375
transcript.pyannote[1915].end 12386.77034375
transcript.pyannote[1916].speaker SPEAKER_10
transcript.pyannote[1916].start 12387.88409375
transcript.pyannote[1916].end 12408.55596875
transcript.pyannote[1917].speaker SPEAKER_22
transcript.pyannote[1917].start 12408.06659375
transcript.pyannote[1917].end 12415.99784375
transcript.pyannote[1918].speaker SPEAKER_22
transcript.pyannote[1918].start 12416.18346875
transcript.pyannote[1918].end 12427.86096875
transcript.pyannote[1919].speaker SPEAKER_22
transcript.pyannote[1919].start 12427.97909375
transcript.pyannote[1919].end 12436.02846875
transcript.pyannote[1920].speaker SPEAKER_22
transcript.pyannote[1920].start 12436.45034375
transcript.pyannote[1920].end 12450.72659375
transcript.pyannote[1921].speaker SPEAKER_22
transcript.pyannote[1921].start 12450.97971875
transcript.pyannote[1921].end 12465.96471875
transcript.pyannote[1922].speaker SPEAKER_29
transcript.pyannote[1922].start 12474.03096875
transcript.pyannote[1922].end 12474.08159375
transcript.pyannote[1923].speaker SPEAKER_29
transcript.pyannote[1923].start 12474.14909375
transcript.pyannote[1923].end 12474.36846875
transcript.pyannote[1924].speaker SPEAKER_29
transcript.pyannote[1924].start 12476.61284375
transcript.pyannote[1924].end 12477.94596875
transcript.pyannote[1925].speaker SPEAKER_29
transcript.pyannote[1925].start 12488.96534375
transcript.pyannote[1925].end 12490.78784375
transcript.pyannote[1926].speaker SPEAKER_29
transcript.pyannote[1926].start 12490.83846875
transcript.pyannote[1926].end 12496.32284375
transcript.pyannote[1927].speaker SPEAKER_29
transcript.pyannote[1927].start 12496.91346875
transcript.pyannote[1927].end 12497.87534375
transcript.pyannote[1928].speaker SPEAKER_29
transcript.pyannote[1928].start 12498.11159375
transcript.pyannote[1928].end 12505.03034375
transcript.pyannote[1929].speaker SPEAKER_00
transcript.pyannote[1929].start 12502.97159375
transcript.pyannote[1929].end 12503.17409375
transcript.pyannote[1930].speaker SPEAKER_29
transcript.pyannote[1930].start 12512.08409375
transcript.pyannote[1930].end 12512.86034375
transcript.pyannote[1931].speaker SPEAKER_29
transcript.pyannote[1931].start 12512.97846875
transcript.pyannote[1931].end 12513.43409375
transcript.pyannote[1932].speaker SPEAKER_29
transcript.pyannote[1932].start 12514.83471875
transcript.pyannote[1932].end 12514.90221875
transcript.pyannote[1933].speaker SPEAKER_29
transcript.pyannote[1933].start 12514.96971875
transcript.pyannote[1933].end 12519.67784375
transcript.pyannote[1934].speaker SPEAKER_29
transcript.pyannote[1934].start 12519.91409375
transcript.pyannote[1934].end 12521.44971875
transcript.pyannote[1935].speaker SPEAKER_29
transcript.pyannote[1935].start 12521.87159375
transcript.pyannote[1935].end 12523.64346875
transcript.pyannote[1936].speaker SPEAKER_29
transcript.pyannote[1936].start 12523.81221875
transcript.pyannote[1936].end 12527.87909375
transcript.pyannote[1937].speaker SPEAKER_29
transcript.pyannote[1937].start 12528.16596875
transcript.pyannote[1937].end 12528.97596875
transcript.pyannote[1938].speaker SPEAKER_23
transcript.pyannote[1938].start 12528.50346875
transcript.pyannote[1938].end 12530.56221875
transcript.pyannote[1939].speaker SPEAKER_29
transcript.pyannote[1939].start 12529.02659375
transcript.pyannote[1939].end 12529.87034375
transcript.pyannote[1940].speaker SPEAKER_23
transcript.pyannote[1940].start 12531.08534375
transcript.pyannote[1940].end 12531.32159375
transcript.pyannote[1941].speaker SPEAKER_29
transcript.pyannote[1941].start 12531.32159375
transcript.pyannote[1941].end 12531.97971875
transcript.pyannote[1942].speaker SPEAKER_29
transcript.pyannote[1942].start 12532.60409375
transcript.pyannote[1942].end 12536.36721875
transcript.pyannote[1943].speaker SPEAKER_28
transcript.pyannote[1943].start 12533.09346875
transcript.pyannote[1943].end 12533.65034375
transcript.pyannote[1944].speaker SPEAKER_28
transcript.pyannote[1944].start 12535.42221875
transcript.pyannote[1944].end 12535.97909375
transcript.pyannote[1945].speaker SPEAKER_29
transcript.pyannote[1945].start 12537.53159375
transcript.pyannote[1945].end 12538.88159375
transcript.pyannote[1946].speaker SPEAKER_29
transcript.pyannote[1946].start 12542.67846875
transcript.pyannote[1946].end 12546.62721875
transcript.pyannote[1947].speaker SPEAKER_29
transcript.pyannote[1947].start 12546.96471875
transcript.pyannote[1947].end 12552.24659375
transcript.pyannote[1948].speaker SPEAKER_16
transcript.pyannote[1948].start 12552.04409375
transcript.pyannote[1948].end 12553.25909375
transcript.pyannote[1949].speaker SPEAKER_29
transcript.pyannote[1949].start 12553.05659375
transcript.pyannote[1949].end 12554.82846875
transcript.pyannote[1950].speaker SPEAKER_23
transcript.pyannote[1950].start 12553.25909375
transcript.pyannote[1950].end 12553.57971875
transcript.pyannote[1951].speaker SPEAKER_23
transcript.pyannote[1951].start 12554.82846875
transcript.pyannote[1951].end 12554.87909375
transcript.pyannote[1952].speaker SPEAKER_28
transcript.pyannote[1952].start 12555.92534375
transcript.pyannote[1952].end 12556.85346875
transcript.pyannote[1953].speaker SPEAKER_29
transcript.pyannote[1953].start 12556.60034375
transcript.pyannote[1953].end 12557.74784375
transcript.pyannote[1954].speaker SPEAKER_28
transcript.pyannote[1954].start 12557.64659375
transcript.pyannote[1954].end 12557.71409375
transcript.pyannote[1955].speaker SPEAKER_28
transcript.pyannote[1955].start 12557.74784375
transcript.pyannote[1955].end 12558.23721875
transcript.pyannote[1956].speaker SPEAKER_29
transcript.pyannote[1956].start 12578.14971875
transcript.pyannote[1956].end 12578.77409375
transcript.pyannote[1957].speaker SPEAKER_29
transcript.pyannote[1957].start 12578.87534375
transcript.pyannote[1957].end 12579.04409375
transcript.pyannote[1958].speaker SPEAKER_29
transcript.pyannote[1958].start 12579.98909375
transcript.pyannote[1958].end 12580.02284375
transcript.pyannote[1959].speaker SPEAKER_29
transcript.pyannote[1959].start 12580.96784375
transcript.pyannote[1959].end 12581.05221875
transcript.pyannote[1960].speaker SPEAKER_29
transcript.pyannote[1960].start 12581.06909375
transcript.pyannote[1960].end 12581.65971875
transcript.pyannote[1961].speaker SPEAKER_29
transcript.pyannote[1961].start 12584.57909375
transcript.pyannote[1961].end 12584.68034375
transcript.pyannote[1962].speaker SPEAKER_29
transcript.pyannote[1962].start 12605.97659375
transcript.pyannote[1962].end 12606.85409375
transcript.pyannote[1963].speaker SPEAKER_29
transcript.pyannote[1963].start 12606.97221875
transcript.pyannote[1963].end 12608.42346875
transcript.pyannote[1964].speaker SPEAKER_29
transcript.pyannote[1964].start 12608.54159375
transcript.pyannote[1964].end 12611.57909375
transcript.pyannote[1965].speaker SPEAKER_17
transcript.pyannote[1965].start 12612.22034375
transcript.pyannote[1965].end 12613.45221875
transcript.pyannote[1966].speaker SPEAKER_29
transcript.pyannote[1966].start 12613.45221875
transcript.pyannote[1966].end 12614.59971875
transcript.pyannote[1967].speaker SPEAKER_17
transcript.pyannote[1967].start 12614.92034375
transcript.pyannote[1967].end 12616.06784375
transcript.pyannote[1968].speaker SPEAKER_29
transcript.pyannote[1968].start 12616.32096875
transcript.pyannote[1968].end 12617.94096875
transcript.pyannote[1969].speaker SPEAKER_17
transcript.pyannote[1969].start 12618.41346875
transcript.pyannote[1969].end 12619.15596875
transcript.pyannote[1970].speaker SPEAKER_29
transcript.pyannote[1970].start 12619.15596875
transcript.pyannote[1970].end 12620.59034375
transcript.pyannote[1971].speaker SPEAKER_17
transcript.pyannote[1971].start 12619.17284375
transcript.pyannote[1971].end 12619.29096875
transcript.pyannote[1972].speaker SPEAKER_27
transcript.pyannote[1972].start 12619.29096875
transcript.pyannote[1972].end 12619.61159375
transcript.pyannote[1973].speaker SPEAKER_17
transcript.pyannote[1973].start 12619.61159375
transcript.pyannote[1973].end 12619.93221875
transcript.pyannote[1974].speaker SPEAKER_27
transcript.pyannote[1974].start 12619.93221875
transcript.pyannote[1974].end 12620.70846875
transcript.pyannote[1975].speaker SPEAKER_17
transcript.pyannote[1975].start 12620.70846875
transcript.pyannote[1975].end 12620.74221875
transcript.pyannote[1976].speaker SPEAKER_29
transcript.pyannote[1976].start 12620.74221875
transcript.pyannote[1976].end 12620.92784375
transcript.pyannote[1977].speaker SPEAKER_27
transcript.pyannote[1977].start 12620.74221875
transcript.pyannote[1977].end 12622.73346875
transcript.pyannote[1978].speaker SPEAKER_29
transcript.pyannote[1978].start 12620.94471875
transcript.pyannote[1978].end 12621.18096875
transcript.pyannote[1979].speaker SPEAKER_29
transcript.pyannote[1979].start 12622.73346875
transcript.pyannote[1979].end 12623.10471875
transcript.pyannote[1980].speaker SPEAKER_10
transcript.pyannote[1980].start 12623.10471875
transcript.pyannote[1980].end 12630.86721875
transcript.pyannote[1981].speaker SPEAKER_27
transcript.pyannote[1981].start 12624.11721875
transcript.pyannote[1981].end 12626.68221875
transcript.pyannote[1982].speaker SPEAKER_09
transcript.pyannote[1982].start 12626.68221875
transcript.pyannote[1982].end 12626.69909375
transcript.pyannote[1983].speaker SPEAKER_10
transcript.pyannote[1983].start 12631.44096875
transcript.pyannote[1983].end 12631.84596875
transcript.pyannote[1984].speaker SPEAKER_10
transcript.pyannote[1984].start 12631.86284375
transcript.pyannote[1984].end 12632.08221875
transcript.pyannote[1985].speaker SPEAKER_29
transcript.pyannote[1985].start 12634.84971875
transcript.pyannote[1985].end 12636.18284375
transcript.pyannote[1986].speaker SPEAKER_29
transcript.pyannote[1986].start 12636.62159375
transcript.pyannote[1986].end 12637.33034375
transcript.pyannote[1987].speaker SPEAKER_29
transcript.pyannote[1987].start 12637.97159375
transcript.pyannote[1987].end 12638.03909375
transcript.pyannote[1988].speaker SPEAKER_29
transcript.pyannote[1988].start 12639.74346875
transcript.pyannote[1988].end 12639.87846875
transcript.pyannote[1989].speaker SPEAKER_29
transcript.pyannote[1989].start 12649.41284375
transcript.pyannote[1989].end 12652.45034375
transcript.pyannote[1990].speaker SPEAKER_29
transcript.pyannote[1990].start 12652.85534375
transcript.pyannote[1990].end 12656.46659375
transcript.pyannote[1991].speaker SPEAKER_29
transcript.pyannote[1991].start 12666.45659375
transcript.pyannote[1991].end 12670.91159375
transcript.pyannote[1992].speaker SPEAKER_29
transcript.pyannote[1992].start 12670.96221875
transcript.pyannote[1992].end 12671.02971875
transcript.pyannote[1993].speaker SPEAKER_29
transcript.pyannote[1993].start 12671.60346875
transcript.pyannote[1993].end 12673.54409375
transcript.pyannote[1994].speaker SPEAKER_05
transcript.pyannote[1994].start 12673.54409375
transcript.pyannote[1994].end 12673.96596875
transcript.pyannote[1995].speaker SPEAKER_29
transcript.pyannote[1995].start 12673.96596875
transcript.pyannote[1995].end 12674.38784375
transcript.pyannote[1996].speaker SPEAKER_29
transcript.pyannote[1996].start 12674.74221875
transcript.pyannote[1996].end 12674.86034375
transcript.pyannote[1997].speaker SPEAKER_29
transcript.pyannote[1997].start 12675.04596875
transcript.pyannote[1997].end 12675.06284375
transcript.pyannote[1998].speaker SPEAKER_29
transcript.pyannote[1998].start 12675.13034375
transcript.pyannote[1998].end 12675.97409375
transcript.pyannote[1999].speaker SPEAKER_29
transcript.pyannote[1999].start 12676.56471875
transcript.pyannote[1999].end 12677.03721875
transcript.pyannote[2000].speaker SPEAKER_29
transcript.pyannote[2000].start 12677.05409375
transcript.pyannote[2000].end 12677.35784375
transcript.pyannote[2001].speaker SPEAKER_29
transcript.pyannote[2001].start 12683.97284375
transcript.pyannote[2001].end 12684.02346875
transcript.pyannote[2002].speaker SPEAKER_29
transcript.pyannote[2002].start 12684.78284375
transcript.pyannote[2002].end 12684.93471875
transcript.pyannote[2003].speaker SPEAKER_29
transcript.pyannote[2003].start 12684.96846875
transcript.pyannote[2003].end 12685.03596875
transcript.pyannote[2004].speaker SPEAKER_29
transcript.pyannote[2004].start 12685.96409375
transcript.pyannote[2004].end 12686.23409375
transcript.pyannote[2005].speaker SPEAKER_29
transcript.pyannote[2005].start 12686.26784375
transcript.pyannote[2005].end 12686.28471875
transcript.pyannote[2006].speaker SPEAKER_29
transcript.pyannote[2006].start 12686.30159375
transcript.pyannote[2006].end 12686.36909375
transcript.pyannote[2007].speaker SPEAKER_29
transcript.pyannote[2007].start 12686.97659375
transcript.pyannote[2007].end 12687.02721875
transcript.pyannote[2008].speaker SPEAKER_28
transcript.pyannote[2008].start 12687.22971875
transcript.pyannote[2008].end 12688.02284375
transcript.pyannote[2009].speaker SPEAKER_28
transcript.pyannote[2009].start 12689.17034375
transcript.pyannote[2009].end 12690.72284375
transcript.pyannote[2010].speaker SPEAKER_28
transcript.pyannote[2010].start 12696.13971875
transcript.pyannote[2010].end 12696.22409375
transcript.pyannote[2011].speaker SPEAKER_29
transcript.pyannote[2011].start 12710.70284375
transcript.pyannote[2011].end 12713.50409375
transcript.pyannote[2012].speaker SPEAKER_33
transcript.pyannote[2012].start 12714.04409375
transcript.pyannote[2012].end 12714.92159375
transcript.pyannote[2013].speaker SPEAKER_29
transcript.pyannote[2013].start 12717.95909375
transcript.pyannote[2013].end 12718.53284375
transcript.pyannote[2014].speaker SPEAKER_29
transcript.pyannote[2014].start 12719.74784375
transcript.pyannote[2014].end 12720.57471875
transcript.pyannote[2015].speaker SPEAKER_29
transcript.pyannote[2015].start 12727.96596875
transcript.pyannote[2015].end 12727.99971875
transcript.pyannote[2016].speaker SPEAKER_29
transcript.pyannote[2016].start 12741.48284375
transcript.pyannote[2016].end 12742.19159375
transcript.pyannote[2017].speaker SPEAKER_28
transcript.pyannote[2017].start 12747.99659375
transcript.pyannote[2017].end 12748.06409375
transcript.pyannote[2018].speaker SPEAKER_22
transcript.pyannote[2018].start 12758.99909375
transcript.pyannote[2018].end 12764.44971875
transcript.pyannote[2019].speaker SPEAKER_22
transcript.pyannote[2019].start 12764.53409375
transcript.pyannote[2019].end 12768.68534375
transcript.pyannote[2020].speaker SPEAKER_10
transcript.pyannote[2020].start 12773.44409375
transcript.pyannote[2020].end 12781.03784375
transcript.pyannote[2021].speaker SPEAKER_22
transcript.pyannote[2021].start 12780.75096875
transcript.pyannote[2021].end 12781.94909375
transcript.pyannote[2022].speaker SPEAKER_10
transcript.pyannote[2022].start 12785.50971875
transcript.pyannote[2022].end 12786.37034375
transcript.pyannote[2023].speaker SPEAKER_10
transcript.pyannote[2023].start 12786.70784375
transcript.pyannote[2023].end 12789.74534375
transcript.pyannote[2024].speaker SPEAKER_10
transcript.pyannote[2024].start 12790.13346875
transcript.pyannote[2024].end 12861.95346875
transcript.pyannote[2025].speaker SPEAKER_10
transcript.pyannote[2025].start 12861.97034375
transcript.pyannote[2025].end 12862.00409375
transcript.pyannote[2026].speaker SPEAKER_10
transcript.pyannote[2026].start 12862.13909375
transcript.pyannote[2026].end 12882.49034375
transcript.pyannote[2027].speaker SPEAKER_10
transcript.pyannote[2027].start 12882.92909375
transcript.pyannote[2027].end 12888.22784375
transcript.pyannote[2028].speaker SPEAKER_10
transcript.pyannote[2028].start 12888.29534375
transcript.pyannote[2028].end 12901.69409375
transcript.pyannote[2029].speaker SPEAKER_10
transcript.pyannote[2029].start 12902.20034375
transcript.pyannote[2029].end 12903.38159375
transcript.pyannote[2030].speaker SPEAKER_10
transcript.pyannote[2030].start 12903.92159375
transcript.pyannote[2030].end 12904.36034375
transcript.pyannote[2031].speaker SPEAKER_10
transcript.pyannote[2031].start 12904.81596875
transcript.pyannote[2031].end 12906.11534375
transcript.pyannote[2032].speaker SPEAKER_10
transcript.pyannote[2032].start 12906.79034375
transcript.pyannote[2032].end 12907.76909375
transcript.pyannote[2033].speaker SPEAKER_10
transcript.pyannote[2033].start 12908.46096875
transcript.pyannote[2033].end 12939.88221875
transcript.pyannote[2034].speaker SPEAKER_10
transcript.pyannote[2034].start 12940.21971875
transcript.pyannote[2034].end 12945.29909375
transcript.pyannote[2035].speaker SPEAKER_10
transcript.pyannote[2035].start 12946.26096875
transcript.pyannote[2035].end 12947.71221875
transcript.pyannote[2036].speaker SPEAKER_24
transcript.pyannote[2036].start 12949.46721875
transcript.pyannote[2036].end 12967.18596875
transcript.pyannote[2037].speaker SPEAKER_10
transcript.pyannote[2037].start 12967.10159375
transcript.pyannote[2037].end 12987.01409375
transcript.pyannote[2038].speaker SPEAKER_24
transcript.pyannote[2038].start 12968.53596875
transcript.pyannote[2038].end 12968.97471875
transcript.pyannote[2039].speaker SPEAKER_24
transcript.pyannote[2039].start 12969.04221875
transcript.pyannote[2039].end 12970.13909375
transcript.pyannote[2040].speaker SPEAKER_24
transcript.pyannote[2040].start 12987.68909375
transcript.pyannote[2040].end 12999.38346875
transcript.pyannote[2041].speaker SPEAKER_10
transcript.pyannote[2041].start 12988.43159375
transcript.pyannote[2041].end 12989.96721875
transcript.pyannote[2042].speaker SPEAKER_10
transcript.pyannote[2042].start 12999.38346875
transcript.pyannote[2042].end 12999.40034375
transcript.pyannote[2043].speaker SPEAKER_10
transcript.pyannote[2043].start 13000.10909375
transcript.pyannote[2043].end 13007.02784375
transcript.pyannote[2044].speaker SPEAKER_24
transcript.pyannote[2044].start 13007.02784375
transcript.pyannote[2044].end 13007.36534375
transcript.pyannote[2045].speaker SPEAKER_10
transcript.pyannote[2045].start 13007.36534375
transcript.pyannote[2045].end 13007.68596875
transcript.pyannote[2046].speaker SPEAKER_24
transcript.pyannote[2046].start 13007.68596875
transcript.pyannote[2046].end 13017.05159375
transcript.pyannote[2047].speaker SPEAKER_24
transcript.pyannote[2047].start 13017.08534375
transcript.pyannote[2047].end 13019.51534375
transcript.pyannote[2048].speaker SPEAKER_10
transcript.pyannote[2048].start 13018.41846875
transcript.pyannote[2048].end 13028.47596875
transcript.pyannote[2049].speaker SPEAKER_24
transcript.pyannote[2049].start 13028.47596875
transcript.pyannote[2049].end 13042.26284375
transcript.pyannote[2050].speaker SPEAKER_24
transcript.pyannote[2050].start 13043.59596875
transcript.pyannote[2050].end 13046.78534375
transcript.pyannote[2051].speaker SPEAKER_10
transcript.pyannote[2051].start 13045.65471875
transcript.pyannote[2051].end 13051.88159375
transcript.pyannote[2052].speaker SPEAKER_24
transcript.pyannote[2052].start 13051.88159375
transcript.pyannote[2052].end 13051.94909375
transcript.pyannote[2053].speaker SPEAKER_10
transcript.pyannote[2053].start 13051.94909375
transcript.pyannote[2053].end 13058.15909375
transcript.pyannote[2054].speaker SPEAKER_24
transcript.pyannote[2054].start 13051.99971875
transcript.pyannote[2054].end 13052.25284375
transcript.pyannote[2055].speaker SPEAKER_24
transcript.pyannote[2055].start 13057.16346875
transcript.pyannote[2055].end 13060.01534375
transcript.pyannote[2056].speaker SPEAKER_10
transcript.pyannote[2056].start 13060.01534375
transcript.pyannote[2056].end 13070.59596875
transcript.pyannote[2057].speaker SPEAKER_24
transcript.pyannote[2057].start 13060.03221875
transcript.pyannote[2057].end 13061.19659375
transcript.pyannote[2058].speaker SPEAKER_10
transcript.pyannote[2058].start 13071.03471875
transcript.pyannote[2058].end 13072.63784375
transcript.pyannote[2059].speaker SPEAKER_10
transcript.pyannote[2059].start 13072.78971875
transcript.pyannote[2059].end 13078.64534375
transcript.pyannote[2060].speaker SPEAKER_10
transcript.pyannote[2060].start 13079.33721875
transcript.pyannote[2060].end 13081.51409375
transcript.pyannote[2061].speaker SPEAKER_10
transcript.pyannote[2061].start 13082.03721875
transcript.pyannote[2061].end 13094.81159375
transcript.pyannote[2062].speaker SPEAKER_10
transcript.pyannote[2062].start 13095.77346875
transcript.pyannote[2062].end 13120.42784375
transcript.pyannote[2063].speaker SPEAKER_10
transcript.pyannote[2063].start 13120.61346875
transcript.pyannote[2063].end 13140.05346875
transcript.pyannote[2064].speaker SPEAKER_10
transcript.pyannote[2064].start 13140.34034375
transcript.pyannote[2064].end 13143.98534375
transcript.pyannote[2065].speaker SPEAKER_10
transcript.pyannote[2065].start 13144.49159375
transcript.pyannote[2065].end 13145.01471875
transcript.pyannote[2066].speaker SPEAKER_10
transcript.pyannote[2066].start 13145.95971875
transcript.pyannote[2066].end 13146.38159375
transcript.pyannote[2067].speaker SPEAKER_10
transcript.pyannote[2067].start 13146.68534375
transcript.pyannote[2067].end 13149.87471875
transcript.pyannote[2068].speaker SPEAKER_10
transcript.pyannote[2068].start 13149.92534375
transcript.pyannote[2068].end 13158.09284375
transcript.pyannote[2069].speaker SPEAKER_10
transcript.pyannote[2069].start 13158.39659375
transcript.pyannote[2069].end 13161.78846875
transcript.pyannote[2070].speaker SPEAKER_10
transcript.pyannote[2070].start 13162.05846875
transcript.pyannote[2070].end 13168.36971875
transcript.pyannote[2071].speaker SPEAKER_10
transcript.pyannote[2071].start 13168.58909375
transcript.pyannote[2071].end 13169.82096875
transcript.pyannote[2072].speaker SPEAKER_10
transcript.pyannote[2072].start 13170.59721875
transcript.pyannote[2072].end 13176.70596875
transcript.pyannote[2073].speaker SPEAKER_10
transcript.pyannote[2073].start 13176.82409375
transcript.pyannote[2073].end 13177.71846875
transcript.pyannote[2074].speaker SPEAKER_10
transcript.pyannote[2074].start 13178.07284375
transcript.pyannote[2074].end 13178.91659375
transcript.pyannote[2075].speaker SPEAKER_10
transcript.pyannote[2075].start 13179.06846875
transcript.pyannote[2075].end 13180.55346875
transcript.pyannote[2076].speaker SPEAKER_10
transcript.pyannote[2076].start 13180.89096875
transcript.pyannote[2076].end 13181.56596875
transcript.pyannote[2077].speaker SPEAKER_10
transcript.pyannote[2077].start 13183.33784375
transcript.pyannote[2077].end 13185.90284375
transcript.pyannote[2078].speaker SPEAKER_10
transcript.pyannote[2078].start 13186.24034375
transcript.pyannote[2078].end 13208.14409375
transcript.pyannote[2079].speaker SPEAKER_10
transcript.pyannote[2079].start 13208.46471875
transcript.pyannote[2079].end 13209.22409375
transcript.pyannote[2080].speaker SPEAKER_10
transcript.pyannote[2080].start 13209.64596875
transcript.pyannote[2080].end 13212.76784375
transcript.pyannote[2081].speaker SPEAKER_04
transcript.pyannote[2081].start 13214.42159375
transcript.pyannote[2081].end 13260.15284375
transcript.pyannote[2082].speaker SPEAKER_22
transcript.pyannote[2082].start 13259.15721875
transcript.pyannote[2082].end 13264.47284375
transcript.pyannote[2083].speaker SPEAKER_04
transcript.pyannote[2083].start 13262.34659375
transcript.pyannote[2083].end 13262.58284375
transcript.pyannote[2084].speaker SPEAKER_04
transcript.pyannote[2084].start 13263.00471875
transcript.pyannote[2084].end 13263.07221875
transcript.pyannote[2085].speaker SPEAKER_10
transcript.pyannote[2085].start 13263.07221875
transcript.pyannote[2085].end 13273.87221875
transcript.pyannote[2086].speaker SPEAKER_04
transcript.pyannote[2086].start 13264.62471875
transcript.pyannote[2086].end 13264.77659375
transcript.pyannote[2087].speaker SPEAKER_22
transcript.pyannote[2087].start 13273.36596875
transcript.pyannote[2087].end 13273.53471875
transcript.pyannote[2088].speaker SPEAKER_22
transcript.pyannote[2088].start 13273.92284375
transcript.pyannote[2088].end 13286.79846875
transcript.pyannote[2089].speaker SPEAKER_14
transcript.pyannote[2089].start 13296.65346875
transcript.pyannote[2089].end 13297.39596875
transcript.pyannote[2090].speaker SPEAKER_22
transcript.pyannote[2090].start 13298.50971875
transcript.pyannote[2090].end 13299.40409375
transcript.pyannote[2091].speaker SPEAKER_14
transcript.pyannote[2091].start 13304.17971875
transcript.pyannote[2091].end 13304.95596875
transcript.pyannote[2092].speaker SPEAKER_14
transcript.pyannote[2092].start 13305.46221875
transcript.pyannote[2092].end 13308.44909375
transcript.pyannote[2093].speaker SPEAKER_14
transcript.pyannote[2093].start 13309.03971875
transcript.pyannote[2093].end 13311.28409375
transcript.pyannote[2094].speaker SPEAKER_14
transcript.pyannote[2094].start 13311.57096875
transcript.pyannote[2094].end 13312.58346875
transcript.pyannote[2095].speaker SPEAKER_14
transcript.pyannote[2095].start 13313.14034375
transcript.pyannote[2095].end 13315.58721875
transcript.pyannote[2096].speaker SPEAKER_14
transcript.pyannote[2096].start 13316.11034375
transcript.pyannote[2096].end 13317.42659375
transcript.pyannote[2097].speaker SPEAKER_14
transcript.pyannote[2097].start 13317.74721875
transcript.pyannote[2097].end 13318.10159375
transcript.pyannote[2098].speaker SPEAKER_14
transcript.pyannote[2098].start 13318.43909375
transcript.pyannote[2098].end 13319.46846875
transcript.pyannote[2099].speaker SPEAKER_24
transcript.pyannote[2099].start 13320.02534375
transcript.pyannote[2099].end 13321.05471875
transcript.pyannote[2100].speaker SPEAKER_14
transcript.pyannote[2100].start 13321.05471875
transcript.pyannote[2100].end 13323.34971875
transcript.pyannote[2101].speaker SPEAKER_24
transcript.pyannote[2101].start 13321.08846875
transcript.pyannote[2101].end 13321.32471875
transcript.pyannote[2102].speaker SPEAKER_14
transcript.pyannote[2102].start 13324.61534375
transcript.pyannote[2102].end 13329.39096875
transcript.pyannote[2103].speaker SPEAKER_14
transcript.pyannote[2103].start 13329.61034375
transcript.pyannote[2103].end 13333.55909375
transcript.pyannote[2104].speaker SPEAKER_14
transcript.pyannote[2104].start 13334.11596875
transcript.pyannote[2104].end 13336.29284375
transcript.pyannote[2105].speaker SPEAKER_14
transcript.pyannote[2105].start 13336.41096875
transcript.pyannote[2105].end 13338.03096875
transcript.pyannote[2106].speaker SPEAKER_14
transcript.pyannote[2106].start 13338.41909375
transcript.pyannote[2106].end 13338.79034375
transcript.pyannote[2107].speaker SPEAKER_14
transcript.pyannote[2107].start 13338.90846875
transcript.pyannote[2107].end 13343.51534375
transcript.pyannote[2108].speaker SPEAKER_14
transcript.pyannote[2108].start 13343.92034375
transcript.pyannote[2108].end 13346.99159375
transcript.pyannote[2109].speaker SPEAKER_14
transcript.pyannote[2109].start 13347.71721875
transcript.pyannote[2109].end 13361.74034375
transcript.pyannote[2110].speaker SPEAKER_14
transcript.pyannote[2110].start 13362.48284375
transcript.pyannote[2110].end 13367.86596875
transcript.pyannote[2111].speaker SPEAKER_14
transcript.pyannote[2111].start 13368.01784375
transcript.pyannote[2111].end 13368.94596875
transcript.pyannote[2112].speaker SPEAKER_14
transcript.pyannote[2112].start 13369.53659375
transcript.pyannote[2112].end 13370.59971875
transcript.pyannote[2113].speaker SPEAKER_24
transcript.pyannote[2113].start 13372.82721875
transcript.pyannote[2113].end 13375.54409375
transcript.pyannote[2114].speaker SPEAKER_24
transcript.pyannote[2114].start 13376.13471875
transcript.pyannote[2114].end 13378.96971875
transcript.pyannote[2115].speaker SPEAKER_14
transcript.pyannote[2115].start 13378.96971875
transcript.pyannote[2115].end 13381.04534375
transcript.pyannote[2116].speaker SPEAKER_14
transcript.pyannote[2116].start 13382.09159375
transcript.pyannote[2116].end 13384.13346875
transcript.pyannote[2117].speaker SPEAKER_14
transcript.pyannote[2117].start 13384.48784375
transcript.pyannote[2117].end 13384.96034375
transcript.pyannote[2118].speaker SPEAKER_14
transcript.pyannote[2118].start 13385.92221875
transcript.pyannote[2118].end 13391.35596875
transcript.pyannote[2119].speaker SPEAKER_14
transcript.pyannote[2119].start 13391.91284375
transcript.pyannote[2119].end 13400.18159375
transcript.pyannote[2120].speaker SPEAKER_14
transcript.pyannote[2120].start 13400.45159375
transcript.pyannote[2120].end 13405.73346875
transcript.pyannote[2121].speaker SPEAKER_14
transcript.pyannote[2121].start 13406.45909375
transcript.pyannote[2121].end 13408.06221875
transcript.pyannote[2122].speaker SPEAKER_14
transcript.pyannote[2122].start 13408.41659375
transcript.pyannote[2122].end 13423.13159375
transcript.pyannote[2123].speaker SPEAKER_14
transcript.pyannote[2123].start 13423.63784375
transcript.pyannote[2123].end 13425.15659375
transcript.pyannote[2124].speaker SPEAKER_14
transcript.pyannote[2124].start 13425.51096875
transcript.pyannote[2124].end 13426.08471875
transcript.pyannote[2125].speaker SPEAKER_24
transcript.pyannote[2125].start 13428.49784375
transcript.pyannote[2125].end 13430.06721875
transcript.pyannote[2126].speaker SPEAKER_14
transcript.pyannote[2126].start 13430.23596875
transcript.pyannote[2126].end 13430.53971875
transcript.pyannote[2127].speaker SPEAKER_14
transcript.pyannote[2127].start 13431.06284375
transcript.pyannote[2127].end 13438.97721875
transcript.pyannote[2128].speaker SPEAKER_14
transcript.pyannote[2128].start 13439.61846875
transcript.pyannote[2128].end 13443.01034375
transcript.pyannote[2129].speaker SPEAKER_14
transcript.pyannote[2129].start 13444.10721875
transcript.pyannote[2129].end 13466.12909375
transcript.pyannote[2130].speaker SPEAKER_14
transcript.pyannote[2130].start 13466.48346875
transcript.pyannote[2130].end 13468.03596875
transcript.pyannote[2131].speaker SPEAKER_14
transcript.pyannote[2131].start 13468.05284375
transcript.pyannote[2131].end 13472.23784375
transcript.pyannote[2132].speaker SPEAKER_14
transcript.pyannote[2132].start 13473.40221875
transcript.pyannote[2132].end 13477.13159375
transcript.pyannote[2133].speaker SPEAKER_14
transcript.pyannote[2133].start 13477.50284375
transcript.pyannote[2133].end 13484.67471875
transcript.pyannote[2134].speaker SPEAKER_24
transcript.pyannote[2134].start 13486.48034375
transcript.pyannote[2134].end 13497.75284375
transcript.pyannote[2135].speaker SPEAKER_24
transcript.pyannote[2135].start 13497.78659375
transcript.pyannote[2135].end 13512.06284375
transcript.pyannote[2136].speaker SPEAKER_24
transcript.pyannote[2136].start 13512.43409375
transcript.pyannote[2136].end 13522.17096875
transcript.pyannote[2137].speaker SPEAKER_24
transcript.pyannote[2137].start 13522.69409375
transcript.pyannote[2137].end 13536.24471875
transcript.pyannote[2138].speaker SPEAKER_14
transcript.pyannote[2138].start 13535.94096875
transcript.pyannote[2138].end 13540.64909375
transcript.pyannote[2139].speaker SPEAKER_14
transcript.pyannote[2139].start 13541.22284375
transcript.pyannote[2139].end 13565.91096875
transcript.pyannote[2140].speaker SPEAKER_14
transcript.pyannote[2140].start 13566.48471875
transcript.pyannote[2140].end 13568.34096875
transcript.pyannote[2141].speaker SPEAKER_14
transcript.pyannote[2141].start 13568.96534375
transcript.pyannote[2141].end 13584.77721875
transcript.pyannote[2142].speaker SPEAKER_24
transcript.pyannote[2142].start 13584.77721875
transcript.pyannote[2142].end 13599.01971875
transcript.pyannote[2143].speaker SPEAKER_14
transcript.pyannote[2143].start 13599.01971875
transcript.pyannote[2143].end 13601.39909375
transcript.pyannote[2144].speaker SPEAKER_24
transcript.pyannote[2144].start 13600.80846875
transcript.pyannote[2144].end 13602.51284375
transcript.pyannote[2145].speaker SPEAKER_14
transcript.pyannote[2145].start 13602.51284375
transcript.pyannote[2145].end 13605.44909375
transcript.pyannote[2146].speaker SPEAKER_14
transcript.pyannote[2146].start 13605.95534375
transcript.pyannote[2146].end 13607.37284375
transcript.pyannote[2147].speaker SPEAKER_14
transcript.pyannote[2147].start 13607.94659375
transcript.pyannote[2147].end 13609.06034375
transcript.pyannote[2148].speaker SPEAKER_14
transcript.pyannote[2148].start 13609.27971875
transcript.pyannote[2148].end 13612.46909375
transcript.pyannote[2149].speaker SPEAKER_14
transcript.pyannote[2149].start 13612.87409375
transcript.pyannote[2149].end 13617.66659375
transcript.pyannote[2150].speaker SPEAKER_14
transcript.pyannote[2150].start 13618.02096875
transcript.pyannote[2150].end 13620.02909375
transcript.pyannote[2151].speaker SPEAKER_14
transcript.pyannote[2151].start 13621.36221875
transcript.pyannote[2151].end 13638.60846875
transcript.pyannote[2152].speaker SPEAKER_14
transcript.pyannote[2152].start 13638.91221875
transcript.pyannote[2152].end 13641.84846875
transcript.pyannote[2153].speaker SPEAKER_24
transcript.pyannote[2153].start 13642.92846875
transcript.pyannote[2153].end 13646.11784375
transcript.pyannote[2154].speaker SPEAKER_14
transcript.pyannote[2154].start 13645.98284375
transcript.pyannote[2154].end 13663.27971875
transcript.pyannote[2155].speaker SPEAKER_14
transcript.pyannote[2155].start 13663.36409375
transcript.pyannote[2155].end 13666.13159375
transcript.pyannote[2156].speaker SPEAKER_14
transcript.pyannote[2156].start 13666.62096875
transcript.pyannote[2156].end 13672.49346875
transcript.pyannote[2157].speaker SPEAKER_22
transcript.pyannote[2157].start 13673.13471875
transcript.pyannote[2157].end 13675.29471875
transcript.pyannote[2158].speaker SPEAKER_22
transcript.pyannote[2158].start 13675.61534375
transcript.pyannote[2158].end 13677.89346875
transcript.pyannote[2159].speaker SPEAKER_22
transcript.pyannote[2159].start 13678.46721875
transcript.pyannote[2159].end 13680.47534375
transcript.pyannote[2160].speaker SPEAKER_22
transcript.pyannote[2160].start 13681.96034375
transcript.pyannote[2160].end 13682.98971875
transcript.pyannote[2161].speaker SPEAKER_22
transcript.pyannote[2161].start 13683.49596875
transcript.pyannote[2161].end 13684.67721875
transcript.pyannote[2162].speaker SPEAKER_22
transcript.pyannote[2162].start 13685.06534375
transcript.pyannote[2162].end 13687.02284375
transcript.pyannote[2163].speaker SPEAKER_22
transcript.pyannote[2163].start 13689.33471875
transcript.pyannote[2163].end 13691.39346875
transcript.pyannote[2164].speaker SPEAKER_28
transcript.pyannote[2164].start 13691.96721875
transcript.pyannote[2164].end 13692.01784375
transcript.pyannote[2165].speaker SPEAKER_28
transcript.pyannote[2165].start 13692.03471875
transcript.pyannote[2165].end 13692.06846875
transcript.pyannote[2166].speaker SPEAKER_22
transcript.pyannote[2166].start 13692.06846875
transcript.pyannote[2166].end 13693.26659375
transcript.pyannote[2167].speaker SPEAKER_22
transcript.pyannote[2167].start 13693.97534375
transcript.pyannote[2167].end 13697.01284375
transcript.pyannote[2168].speaker SPEAKER_00
transcript.pyannote[2168].start 13704.15096875
transcript.pyannote[2168].end 13704.33659375
transcript.pyannote[2169].speaker SPEAKER_00
transcript.pyannote[2169].start 13704.97784375
transcript.pyannote[2169].end 13707.25596875
transcript.pyannote[2170].speaker SPEAKER_00
transcript.pyannote[2170].start 13708.69034375
transcript.pyannote[2170].end 13709.21346875
transcript.pyannote[2171].speaker SPEAKER_08
transcript.pyannote[2171].start 13709.21346875
transcript.pyannote[2171].end 13715.71034375
transcript.pyannote[2172].speaker SPEAKER_00
transcript.pyannote[2172].start 13709.24721875
transcript.pyannote[2172].end 13709.53409375
transcript.pyannote[2173].speaker SPEAKER_22
transcript.pyannote[2173].start 13714.34346875
transcript.pyannote[2173].end 13718.76471875
transcript.pyannote[2174].speaker SPEAKER_27
transcript.pyannote[2174].start 13721.93721875
transcript.pyannote[2174].end 13723.72596875
transcript.pyannote[2175].speaker SPEAKER_22
transcript.pyannote[2175].start 13724.16471875
transcript.pyannote[2175].end 13725.04221875
transcript.pyannote[2176].speaker SPEAKER_27
transcript.pyannote[2176].start 13729.56471875
transcript.pyannote[2176].end 13731.57284375
transcript.pyannote[2177].speaker SPEAKER_27
transcript.pyannote[2177].start 13732.12971875
transcript.pyannote[2177].end 13735.03221875
transcript.pyannote[2178].speaker SPEAKER_08
transcript.pyannote[2178].start 13735.03221875
transcript.pyannote[2178].end 13735.74096875
transcript.pyannote[2179].speaker SPEAKER_27
transcript.pyannote[2179].start 13735.74096875
transcript.pyannote[2179].end 13735.75784375
transcript.pyannote[2180].speaker SPEAKER_08
transcript.pyannote[2180].start 13735.75784375
transcript.pyannote[2180].end 13735.79159375
transcript.pyannote[2181].speaker SPEAKER_27
transcript.pyannote[2181].start 13736.24721875
transcript.pyannote[2181].end 13736.26409375
transcript.pyannote[2182].speaker SPEAKER_08
transcript.pyannote[2182].start 13736.26409375
transcript.pyannote[2182].end 13737.71534375
transcript.pyannote[2183].speaker SPEAKER_08
transcript.pyannote[2183].start 13737.90096875
transcript.pyannote[2183].end 13738.50846875
transcript.pyannote[2184].speaker SPEAKER_08
transcript.pyannote[2184].start 13739.01471875
transcript.pyannote[2184].end 13741.88346875
transcript.pyannote[2185].speaker SPEAKER_08
transcript.pyannote[2185].start 13742.52471875
transcript.pyannote[2185].end 13744.46534375
transcript.pyannote[2186].speaker SPEAKER_08
transcript.pyannote[2186].start 13744.90409375
transcript.pyannote[2186].end 13745.88284375
transcript.pyannote[2187].speaker SPEAKER_08
transcript.pyannote[2187].start 13746.50721875
transcript.pyannote[2187].end 13747.11471875
transcript.pyannote[2188].speaker SPEAKER_08
transcript.pyannote[2188].start 13747.41846875
transcript.pyannote[2188].end 13748.83596875
transcript.pyannote[2189].speaker SPEAKER_08
transcript.pyannote[2189].start 13749.42659375
transcript.pyannote[2189].end 13751.95784375
transcript.pyannote[2190].speaker SPEAKER_08
transcript.pyannote[2190].start 13753.74659375
transcript.pyannote[2190].end 13754.57346875
transcript.pyannote[2191].speaker SPEAKER_08
transcript.pyannote[2191].start 13755.88971875
transcript.pyannote[2191].end 13756.71659375
transcript.pyannote[2192].speaker SPEAKER_08
transcript.pyannote[2192].start 13757.37471875
transcript.pyannote[2192].end 13759.12971875
transcript.pyannote[2193].speaker SPEAKER_08
transcript.pyannote[2193].start 13759.33221875
transcript.pyannote[2193].end 13760.07471875
transcript.pyannote[2194].speaker SPEAKER_08
transcript.pyannote[2194].start 13762.33596875
transcript.pyannote[2194].end 13763.02784375
transcript.pyannote[2195].speaker SPEAKER_08
transcript.pyannote[2195].start 13764.58034375
transcript.pyannote[2195].end 13765.37346875
transcript.pyannote[2196].speaker SPEAKER_24
transcript.pyannote[2196].start 13765.93034375
transcript.pyannote[2196].end 13768.17471875
transcript.pyannote[2197].speaker SPEAKER_08
transcript.pyannote[2197].start 13767.22971875
transcript.pyannote[2197].end 13771.06034375
transcript.pyannote[2198].speaker SPEAKER_08
transcript.pyannote[2198].start 13772.07284375
transcript.pyannote[2198].end 13773.03471875
transcript.pyannote[2199].speaker SPEAKER_22
transcript.pyannote[2199].start 13773.03471875
transcript.pyannote[2199].end 13775.16096875
transcript.pyannote[2200].speaker SPEAKER_08
transcript.pyannote[2200].start 13774.16534375
transcript.pyannote[2200].end 13774.33409375
transcript.pyannote[2201].speaker SPEAKER_28
transcript.pyannote[2201].start 13774.33409375
transcript.pyannote[2201].end 13774.57034375
transcript.pyannote[2202].speaker SPEAKER_24
transcript.pyannote[2202].start 13774.57034375
transcript.pyannote[2202].end 13774.73909375
transcript.pyannote[2203].speaker SPEAKER_08
transcript.pyannote[2203].start 13774.73909375
transcript.pyannote[2203].end 13774.87409375
transcript.pyannote[2204].speaker SPEAKER_24
transcript.pyannote[2204].start 13777.37159375
transcript.pyannote[2204].end 13780.61159375
transcript.pyannote[2205].speaker SPEAKER_24
transcript.pyannote[2205].start 13781.48909375
transcript.pyannote[2205].end 13782.06284375
transcript.pyannote[2206].speaker SPEAKER_24
transcript.pyannote[2206].start 13782.16409375
transcript.pyannote[2206].end 13789.77471875
transcript.pyannote[2207].speaker SPEAKER_08
transcript.pyannote[2207].start 13789.45409375
transcript.pyannote[2207].end 13792.57596875
transcript.pyannote[2208].speaker SPEAKER_08
transcript.pyannote[2208].start 13793.31846875
transcript.pyannote[2208].end 13795.51221875
transcript.pyannote[2209].speaker SPEAKER_08
transcript.pyannote[2209].start 13796.11971875
transcript.pyannote[2209].end 13797.16596875
transcript.pyannote[2210].speaker SPEAKER_08
transcript.pyannote[2210].start 13798.38096875
transcript.pyannote[2210].end 13798.88721875
transcript.pyannote[2211].speaker SPEAKER_08
transcript.pyannote[2211].start 13799.14034375
transcript.pyannote[2211].end 13803.86534375
transcript.pyannote[2212].speaker SPEAKER_08
transcript.pyannote[2212].start 13804.60784375
transcript.pyannote[2212].end 13806.70034375
transcript.pyannote[2213].speaker SPEAKER_28
transcript.pyannote[2213].start 13806.70034375
transcript.pyannote[2213].end 13806.90284375
transcript.pyannote[2214].speaker SPEAKER_08
transcript.pyannote[2214].start 13806.98721875
transcript.pyannote[2214].end 13808.45534375
transcript.pyannote[2215].speaker SPEAKER_08
transcript.pyannote[2215].start 13808.75909375
transcript.pyannote[2215].end 13812.03284375
transcript.pyannote[2216].speaker SPEAKER_27
transcript.pyannote[2216].start 13815.44159375
transcript.pyannote[2216].end 13815.45846875
transcript.pyannote[2217].speaker SPEAKER_24
transcript.pyannote[2217].start 13815.45846875
transcript.pyannote[2217].end 13817.01096875
transcript.pyannote[2218].speaker SPEAKER_08
transcript.pyannote[2218].start 13816.26846875
transcript.pyannote[2218].end 13816.28534375
transcript.pyannote[2219].speaker SPEAKER_22
transcript.pyannote[2219].start 13816.28534375
transcript.pyannote[2219].end 13817.90534375
transcript.pyannote[2220].speaker SPEAKER_24
transcript.pyannote[2220].start 13817.90534375
transcript.pyannote[2220].end 13824.62159375
transcript.pyannote[2221].speaker SPEAKER_08
transcript.pyannote[2221].start 13824.62159375
transcript.pyannote[2221].end 13826.71409375
transcript.pyannote[2222].speaker SPEAKER_08
transcript.pyannote[2222].start 13828.09784375
transcript.pyannote[2222].end 13829.83596875
transcript.pyannote[2223].speaker SPEAKER_08
transcript.pyannote[2223].start 13831.10159375
transcript.pyannote[2223].end 13836.97409375
transcript.pyannote[2224].speaker SPEAKER_24
transcript.pyannote[2224].start 13838.37471875
transcript.pyannote[2224].end 13839.11721875
transcript.pyannote[2225].speaker SPEAKER_24
transcript.pyannote[2225].start 13839.94409375
transcript.pyannote[2225].end 13850.18721875
transcript.pyannote[2226].speaker SPEAKER_08
transcript.pyannote[2226].start 13849.05659375
transcript.pyannote[2226].end 13850.32221875
transcript.pyannote[2227].speaker SPEAKER_08
transcript.pyannote[2227].start 13850.62596875
transcript.pyannote[2227].end 13854.84471875
transcript.pyannote[2228].speaker SPEAKER_08
transcript.pyannote[2228].start 13855.28346875
transcript.pyannote[2228].end 13856.46471875
transcript.pyannote[2229].speaker SPEAKER_08
transcript.pyannote[2229].start 13858.23659375
transcript.pyannote[2229].end 13863.97409375
transcript.pyannote[2230].speaker SPEAKER_08
transcript.pyannote[2230].start 13866.31971875
transcript.pyannote[2230].end 13867.02846875
transcript.pyannote[2231].speaker SPEAKER_24
transcript.pyannote[2231].start 13867.02846875
transcript.pyannote[2231].end 13867.12971875
transcript.pyannote[2232].speaker SPEAKER_08
transcript.pyannote[2232].start 13867.12971875
transcript.pyannote[2232].end 13867.21409375
transcript.pyannote[2233].speaker SPEAKER_24
transcript.pyannote[2233].start 13867.21409375
transcript.pyannote[2233].end 13867.24784375
transcript.pyannote[2234].speaker SPEAKER_24
transcript.pyannote[2234].start 13868.12534375
transcript.pyannote[2234].end 13875.26346875
transcript.pyannote[2235].speaker SPEAKER_08
transcript.pyannote[2235].start 13874.90909375
transcript.pyannote[2235].end 13875.82034375
transcript.pyannote[2236].speaker SPEAKER_24
transcript.pyannote[2236].start 13875.82034375
transcript.pyannote[2236].end 13886.65409375
transcript.pyannote[2237].speaker SPEAKER_00
transcript.pyannote[2237].start 13885.87784375
transcript.pyannote[2237].end 13887.76784375
transcript.pyannote[2238].speaker SPEAKER_24
transcript.pyannote[2238].start 13887.19409375
transcript.pyannote[2238].end 13904.37284375
transcript.pyannote[2239].speaker SPEAKER_08
transcript.pyannote[2239].start 13895.47971875
transcript.pyannote[2239].end 13896.67784375
transcript.pyannote[2240].speaker SPEAKER_08
transcript.pyannote[2240].start 13903.37721875
transcript.pyannote[2240].end 13906.41471875
transcript.pyannote[2241].speaker SPEAKER_24
transcript.pyannote[2241].start 13906.70159375
transcript.pyannote[2241].end 13914.19409375
transcript.pyannote[2242].speaker SPEAKER_08
transcript.pyannote[2242].start 13911.73034375
transcript.pyannote[2242].end 13917.33284375
transcript.pyannote[2243].speaker SPEAKER_24
transcript.pyannote[2243].start 13917.33284375
transcript.pyannote[2243].end 13919.34096875
transcript.pyannote[2244].speaker SPEAKER_08
transcript.pyannote[2244].start 13919.54346875
transcript.pyannote[2244].end 13924.55534375
transcript.pyannote[2245].speaker SPEAKER_24
transcript.pyannote[2245].start 13920.75846875
transcript.pyannote[2245].end 13921.63596875
transcript.pyannote[2246].speaker SPEAKER_08
transcript.pyannote[2246].start 13925.21346875
transcript.pyannote[2246].end 13934.56221875
transcript.pyannote[2247].speaker SPEAKER_24
transcript.pyannote[2247].start 13933.70159375
transcript.pyannote[2247].end 13942.44284375
transcript.pyannote[2248].speaker SPEAKER_22
transcript.pyannote[2248].start 13934.56221875
transcript.pyannote[2248].end 13934.62971875
transcript.pyannote[2249].speaker SPEAKER_08
transcript.pyannote[2249].start 13940.65409375
transcript.pyannote[2249].end 13941.37971875
transcript.pyannote[2250].speaker SPEAKER_08
transcript.pyannote[2250].start 13941.81846875
transcript.pyannote[2250].end 13944.48471875
transcript.pyannote[2251].speaker SPEAKER_08
transcript.pyannote[2251].start 13944.65346875
transcript.pyannote[2251].end 13947.23534375
transcript.pyannote[2252].speaker SPEAKER_08
transcript.pyannote[2252].start 13947.37034375
transcript.pyannote[2252].end 13950.03659375
transcript.pyannote[2253].speaker SPEAKER_24
transcript.pyannote[2253].start 13950.03659375
transcript.pyannote[2253].end 13956.24659375
transcript.pyannote[2254].speaker SPEAKER_08
transcript.pyannote[2254].start 13953.76596875
transcript.pyannote[2254].end 13954.98096875
transcript.pyannote[2255].speaker SPEAKER_08
transcript.pyannote[2255].start 13955.36909375
transcript.pyannote[2255].end 13955.47034375
transcript.pyannote[2256].speaker SPEAKER_08
transcript.pyannote[2256].start 13956.07784375
transcript.pyannote[2256].end 13958.10284375
transcript.pyannote[2257].speaker SPEAKER_24
transcript.pyannote[2257].start 13958.15346875
transcript.pyannote[2257].end 13963.50284375
transcript.pyannote[2258].speaker SPEAKER_08
transcript.pyannote[2258].start 13963.58721875
transcript.pyannote[2258].end 13966.10159375
transcript.pyannote[2259].speaker SPEAKER_24
transcript.pyannote[2259].start 13964.31284375
transcript.pyannote[2259].end 13966.60784375
transcript.pyannote[2260].speaker SPEAKER_08
transcript.pyannote[2260].start 13966.48971875
transcript.pyannote[2260].end 13968.31221875
transcript.pyannote[2261].speaker SPEAKER_24
transcript.pyannote[2261].start 13968.70034375
transcript.pyannote[2261].end 13971.41721875
transcript.pyannote[2262].speaker SPEAKER_08
transcript.pyannote[2262].start 13971.61971875
transcript.pyannote[2262].end 13974.18471875
transcript.pyannote[2263].speaker SPEAKER_08
transcript.pyannote[2263].start 13974.67409375
transcript.pyannote[2263].end 13975.31534375
transcript.pyannote[2264].speaker SPEAKER_08
transcript.pyannote[2264].start 13975.95659375
transcript.pyannote[2264].end 13978.01534375
transcript.pyannote[2265].speaker SPEAKER_08
transcript.pyannote[2265].start 13978.31909375
transcript.pyannote[2265].end 13980.24284375
transcript.pyannote[2266].speaker SPEAKER_08
transcript.pyannote[2266].start 13980.68159375
transcript.pyannote[2266].end 13981.93034375
transcript.pyannote[2267].speaker SPEAKER_08
transcript.pyannote[2267].start 13982.75721875
transcript.pyannote[2267].end 13983.31409375
transcript.pyannote[2268].speaker SPEAKER_08
transcript.pyannote[2268].start 13983.66846875
transcript.pyannote[2268].end 13988.93346875
transcript.pyannote[2269].speaker SPEAKER_08
transcript.pyannote[2269].start 13989.15284375
transcript.pyannote[2269].end 13990.68846875
transcript.pyannote[2270].speaker SPEAKER_08
transcript.pyannote[2270].start 13991.19471875
transcript.pyannote[2270].end 13991.90346875
transcript.pyannote[2271].speaker SPEAKER_08
transcript.pyannote[2271].start 13992.54471875
transcript.pyannote[2271].end 13993.81034375
transcript.pyannote[2272].speaker SPEAKER_08
transcript.pyannote[2272].start 13994.19846875
transcript.pyannote[2272].end 13995.58221875
transcript.pyannote[2273].speaker SPEAKER_24
transcript.pyannote[2273].start 13996.98284375
transcript.pyannote[2273].end 13999.91909375
transcript.pyannote[2274].speaker SPEAKER_24
transcript.pyannote[2274].start 13999.95284375
transcript.pyannote[2274].end 14000.05409375
transcript.pyannote[2275].speaker SPEAKER_24
transcript.pyannote[2275].start 14000.12159375
transcript.pyannote[2275].end 14008.05284375
transcript.pyannote[2276].speaker SPEAKER_08
transcript.pyannote[2276].start 14008.50846875
transcript.pyannote[2276].end 14008.98096875
transcript.pyannote[2277].speaker SPEAKER_08
transcript.pyannote[2277].start 14009.48721875
transcript.pyannote[2277].end 14016.40596875
transcript.pyannote[2278].speaker SPEAKER_24
transcript.pyannote[2278].start 14016.50721875
transcript.pyannote[2278].end 14017.03034375
transcript.pyannote[2279].speaker SPEAKER_08
transcript.pyannote[2279].start 14018.73471875
transcript.pyannote[2279].end 14019.19034375
transcript.pyannote[2280].speaker SPEAKER_24
transcript.pyannote[2280].start 14019.19034375
transcript.pyannote[2280].end 14021.73846875
transcript.pyannote[2281].speaker SPEAKER_24
transcript.pyannote[2281].start 14021.78909375
transcript.pyannote[2281].end 14024.92784375
transcript.pyannote[2282].speaker SPEAKER_08
transcript.pyannote[2282].start 14024.60721875
transcript.pyannote[2282].end 14025.65346875
transcript.pyannote[2283].speaker SPEAKER_24
transcript.pyannote[2283].start 14025.33284375
transcript.pyannote[2283].end 14028.50534375
transcript.pyannote[2284].speaker SPEAKER_08
transcript.pyannote[2284].start 14027.49284375
transcript.pyannote[2284].end 14028.65721875
transcript.pyannote[2285].speaker SPEAKER_08
transcript.pyannote[2285].start 14028.97784375
transcript.pyannote[2285].end 14030.14221875
transcript.pyannote[2286].speaker SPEAKER_08
transcript.pyannote[2286].start 14030.37846875
transcript.pyannote[2286].end 14036.20034375
transcript.pyannote[2287].speaker SPEAKER_24
transcript.pyannote[2287].start 14032.21784375
transcript.pyannote[2287].end 14032.90971875
transcript.pyannote[2288].speaker SPEAKER_24
transcript.pyannote[2288].start 14033.75346875
transcript.pyannote[2288].end 14034.10784375
transcript.pyannote[2289].speaker SPEAKER_24
transcript.pyannote[2289].start 14035.49159375
transcript.pyannote[2289].end 14038.46159375
transcript.pyannote[2290].speaker SPEAKER_08
transcript.pyannote[2290].start 14038.17471875
transcript.pyannote[2290].end 14039.81159375
transcript.pyannote[2291].speaker SPEAKER_08
transcript.pyannote[2291].start 14039.98034375
transcript.pyannote[2291].end 14041.90409375
transcript.pyannote[2292].speaker SPEAKER_08
transcript.pyannote[2292].start 14042.51159375
transcript.pyannote[2292].end 14049.10971875
transcript.pyannote[2293].speaker SPEAKER_27
transcript.pyannote[2293].start 14048.36721875
transcript.pyannote[2293].end 14049.41346875
transcript.pyannote[2294].speaker SPEAKER_24
transcript.pyannote[2294].start 14049.41346875
transcript.pyannote[2294].end 14049.46409375
transcript.pyannote[2295].speaker SPEAKER_08
transcript.pyannote[2295].start 14049.56534375
transcript.pyannote[2295].end 14053.39596875
transcript.pyannote[2296].speaker SPEAKER_08
transcript.pyannote[2296].start 14053.68284375
transcript.pyannote[2296].end 14059.30221875
transcript.pyannote[2297].speaker SPEAKER_24
transcript.pyannote[2297].start 14059.11659375
transcript.pyannote[2297].end 14063.82471875
transcript.pyannote[2298].speaker SPEAKER_08
transcript.pyannote[2298].start 14064.61784375
transcript.pyannote[2298].end 14068.02659375
transcript.pyannote[2299].speaker SPEAKER_24
transcript.pyannote[2299].start 14067.75659375
transcript.pyannote[2299].end 14076.16034375
transcript.pyannote[2300].speaker SPEAKER_00
transcript.pyannote[2300].start 14076.16034375
transcript.pyannote[2300].end 14076.27846875
transcript.pyannote[2301].speaker SPEAKER_24
transcript.pyannote[2301].start 14076.27846875
transcript.pyannote[2301].end 14076.37971875
transcript.pyannote[2302].speaker SPEAKER_00
transcript.pyannote[2302].start 14076.37971875
transcript.pyannote[2302].end 14076.43034375
transcript.pyannote[2303].speaker SPEAKER_24
transcript.pyannote[2303].start 14076.43034375
transcript.pyannote[2303].end 14076.46409375
transcript.pyannote[2304].speaker SPEAKER_00
transcript.pyannote[2304].start 14076.46409375
transcript.pyannote[2304].end 14080.32846875
transcript.pyannote[2305].speaker SPEAKER_24
transcript.pyannote[2305].start 14076.48096875
transcript.pyannote[2305].end 14076.73409375
transcript.pyannote[2306].speaker SPEAKER_24
transcript.pyannote[2306].start 14081.10471875
transcript.pyannote[2306].end 14085.54284375
transcript.pyannote[2307].speaker SPEAKER_24
transcript.pyannote[2307].start 14085.79596875
transcript.pyannote[2307].end 14089.18784375
transcript.pyannote[2308].speaker SPEAKER_08
transcript.pyannote[2308].start 14089.87971875
transcript.pyannote[2308].end 14091.33096875
transcript.pyannote[2309].speaker SPEAKER_08
transcript.pyannote[2309].start 14091.56721875
transcript.pyannote[2309].end 14091.60096875
transcript.pyannote[2310].speaker SPEAKER_24
transcript.pyannote[2310].start 14091.60096875
transcript.pyannote[2310].end 14092.66409375
transcript.pyannote[2311].speaker SPEAKER_08
transcript.pyannote[2311].start 14092.39409375
transcript.pyannote[2311].end 14092.81596875
transcript.pyannote[2312].speaker SPEAKER_24
transcript.pyannote[2312].start 14092.81596875
transcript.pyannote[2312].end 14095.19534375
transcript.pyannote[2313].speaker SPEAKER_08
transcript.pyannote[2313].start 14093.20409375
transcript.pyannote[2313].end 14098.97534375
transcript.pyannote[2314].speaker SPEAKER_08
transcript.pyannote[2314].start 14099.04284375
transcript.pyannote[2314].end 14101.77659375
transcript.pyannote[2315].speaker SPEAKER_24
transcript.pyannote[2315].start 14101.81034375
transcript.pyannote[2315].end 14102.65409375
transcript.pyannote[2316].speaker SPEAKER_24
transcript.pyannote[2316].start 14103.37971875
transcript.pyannote[2316].end 14109.21846875
transcript.pyannote[2317].speaker SPEAKER_08
transcript.pyannote[2317].start 14109.58971875
transcript.pyannote[2317].end 14110.63596875
transcript.pyannote[2318].speaker SPEAKER_08
transcript.pyannote[2318].start 14111.46284375
transcript.pyannote[2318].end 14113.03221875
transcript.pyannote[2319].speaker SPEAKER_24
transcript.pyannote[2319].start 14113.48784375
transcript.pyannote[2319].end 14118.17909375
transcript.pyannote[2320].speaker SPEAKER_08
transcript.pyannote[2320].start 14117.77409375
transcript.pyannote[2320].end 14119.37721875
transcript.pyannote[2321].speaker SPEAKER_27
transcript.pyannote[2321].start 14118.17909375
transcript.pyannote[2321].end 14118.33096875
transcript.pyannote[2322].speaker SPEAKER_27
transcript.pyannote[2322].start 14118.66846875
transcript.pyannote[2322].end 14118.78659375
transcript.pyannote[2323].speaker SPEAKER_24
transcript.pyannote[2323].start 14118.78659375
transcript.pyannote[2323].end 14119.20846875
transcript.pyannote[2324].speaker SPEAKER_27
transcript.pyannote[2324].start 14119.37721875
transcript.pyannote[2324].end 14119.51221875
transcript.pyannote[2325].speaker SPEAKER_24
transcript.pyannote[2325].start 14119.51221875
transcript.pyannote[2325].end 14119.59659375
transcript.pyannote[2326].speaker SPEAKER_27
transcript.pyannote[2326].start 14119.59659375
transcript.pyannote[2326].end 14121.13221875
transcript.pyannote[2327].speaker SPEAKER_08
transcript.pyannote[2327].start 14120.67659375
transcript.pyannote[2327].end 14121.65534375
transcript.pyannote[2328].speaker SPEAKER_24
transcript.pyannote[2328].start 14121.13221875
transcript.pyannote[2328].end 14121.14909375
transcript.pyannote[2329].speaker SPEAKER_08
transcript.pyannote[2329].start 14122.11096875
transcript.pyannote[2329].end 14127.03846875
transcript.pyannote[2330].speaker SPEAKER_22
transcript.pyannote[2330].start 14127.03846875
transcript.pyannote[2330].end 14140.11659375
transcript.pyannote[2331].speaker SPEAKER_28
transcript.pyannote[2331].start 14131.76346875
transcript.pyannote[2331].end 14133.63659375
transcript.pyannote[2332].speaker SPEAKER_00
transcript.pyannote[2332].start 14138.66534375
transcript.pyannote[2332].end 14139.03659375
transcript.pyannote[2333].speaker SPEAKER_28
transcript.pyannote[2333].start 14139.03659375
transcript.pyannote[2333].end 14139.34034375
transcript.pyannote[2334].speaker SPEAKER_00
transcript.pyannote[2334].start 14139.34034375
transcript.pyannote[2334].end 14139.45846875
transcript.pyannote[2335].speaker SPEAKER_22
transcript.pyannote[2335].start 14140.20096875
transcript.pyannote[2335].end 14143.00221875
transcript.pyannote[2336].speaker SPEAKER_02
transcript.pyannote[2336].start 14151.69284375
transcript.pyannote[2336].end 14159.79284375
transcript.pyannote[2337].speaker SPEAKER_02
transcript.pyannote[2337].start 14161.04159375
transcript.pyannote[2337].end 14161.93596875
transcript.pyannote[2338].speaker SPEAKER_02
transcript.pyannote[2338].start 14162.98221875
transcript.pyannote[2338].end 14166.79596875
transcript.pyannote[2339].speaker SPEAKER_22
transcript.pyannote[2339].start 14164.46721875
transcript.pyannote[2339].end 14166.03659375
transcript.pyannote[2340].speaker SPEAKER_02
transcript.pyannote[2340].start 14166.98159375
transcript.pyannote[2340].end 14167.57221875
transcript.pyannote[2341].speaker SPEAKER_02
transcript.pyannote[2341].start 14172.73596875
transcript.pyannote[2341].end 14183.82284375
transcript.pyannote[2342].speaker SPEAKER_02
transcript.pyannote[2342].start 14184.12659375
transcript.pyannote[2342].end 14202.26721875
transcript.pyannote[2343].speaker SPEAKER_24
transcript.pyannote[2343].start 14203.12784375
transcript.pyannote[2343].end 14205.16971875
transcript.pyannote[2344].speaker SPEAKER_22
transcript.pyannote[2344].start 14205.38909375
transcript.pyannote[2344].end 14206.95846875
transcript.pyannote[2345].speaker SPEAKER_24
transcript.pyannote[2345].start 14207.36346875
transcript.pyannote[2345].end 14224.12034375
transcript.pyannote[2346].speaker SPEAKER_02
transcript.pyannote[2346].start 14224.30596875
transcript.pyannote[2346].end 14229.84096875
transcript.pyannote[2347].speaker SPEAKER_02
transcript.pyannote[2347].start 14230.43159375
transcript.pyannote[2347].end 14232.30471875
transcript.pyannote[2348].speaker SPEAKER_24
transcript.pyannote[2348].start 14232.69284375
transcript.pyannote[2348].end 14237.16471875
transcript.pyannote[2349].speaker SPEAKER_02
transcript.pyannote[2349].start 14237.82284375
transcript.pyannote[2349].end 14246.32784375
transcript.pyannote[2350].speaker SPEAKER_24
transcript.pyannote[2350].start 14240.79284375
transcript.pyannote[2350].end 14242.24409375
transcript.pyannote[2351].speaker SPEAKER_24
transcript.pyannote[2351].start 14245.39971875
transcript.pyannote[2351].end 14250.95159375
transcript.pyannote[2352].speaker SPEAKER_02
transcript.pyannote[2352].start 14251.01909375
transcript.pyannote[2352].end 14252.16659375
transcript.pyannote[2353].speaker SPEAKER_02
transcript.pyannote[2353].start 14253.04409375
transcript.pyannote[2353].end 14258.10659375
transcript.pyannote[2354].speaker SPEAKER_02
transcript.pyannote[2354].start 14258.37659375
transcript.pyannote[2354].end 14267.75909375
transcript.pyannote[2355].speaker SPEAKER_22
transcript.pyannote[2355].start 14267.11784375
transcript.pyannote[2355].end 14267.69159375
transcript.pyannote[2356].speaker SPEAKER_22
transcript.pyannote[2356].start 14268.36659375
transcript.pyannote[2356].end 14270.99909375
transcript.pyannote[2357].speaker SPEAKER_02
transcript.pyannote[2357].start 14271.33659375
transcript.pyannote[2357].end 14271.79221875
transcript.pyannote[2358].speaker SPEAKER_02
transcript.pyannote[2358].start 14271.84284375
transcript.pyannote[2358].end 14272.63596875
transcript.pyannote[2359].speaker SPEAKER_02
transcript.pyannote[2359].start 14272.68659375
transcript.pyannote[2359].end 14275.28534375
transcript.pyannote[2360].speaker SPEAKER_13
transcript.pyannote[2360].start 14275.28534375
transcript.pyannote[2360].end 14308.03971875
transcript.pyannote[2361].speaker SPEAKER_02
transcript.pyannote[2361].start 14309.55846875
transcript.pyannote[2361].end 14326.04534375
transcript.pyannote[2362].speaker SPEAKER_28
transcript.pyannote[2362].start 14316.57846875
transcript.pyannote[2362].end 14316.98346875
transcript.pyannote[2363].speaker SPEAKER_27
transcript.pyannote[2363].start 14316.98346875
transcript.pyannote[2363].end 14317.01721875
transcript.pyannote[2364].speaker SPEAKER_28
transcript.pyannote[2364].start 14318.63721875
transcript.pyannote[2364].end 14318.89034375
transcript.pyannote[2365].speaker SPEAKER_13
transcript.pyannote[2365].start 14322.58596875
transcript.pyannote[2365].end 14323.27784375
transcript.pyannote[2366].speaker SPEAKER_13
transcript.pyannote[2366].start 14325.15096875
transcript.pyannote[2366].end 14332.82909375
transcript.pyannote[2367].speaker SPEAKER_13
transcript.pyannote[2367].start 14332.89659375
transcript.pyannote[2367].end 14343.94971875
transcript.pyannote[2368].speaker SPEAKER_02
transcript.pyannote[2368].start 14344.70909375
transcript.pyannote[2368].end 14353.53471875
transcript.pyannote[2369].speaker SPEAKER_02
transcript.pyannote[2369].start 14353.63596875
transcript.pyannote[2369].end 14355.79596875
transcript.pyannote[2370].speaker SPEAKER_02
transcript.pyannote[2370].start 14356.11659375
transcript.pyannote[2370].end 14360.97659375
transcript.pyannote[2371].speaker SPEAKER_02
transcript.pyannote[2371].start 14361.12846875
transcript.pyannote[2371].end 14365.02659375
transcript.pyannote[2372].speaker SPEAKER_02
transcript.pyannote[2372].start 14365.29659375
transcript.pyannote[2372].end 14368.08096875
transcript.pyannote[2373].speaker SPEAKER_02
transcript.pyannote[2373].start 14368.28346875
transcript.pyannote[2373].end 14372.06346875
transcript.pyannote[2374].speaker SPEAKER_02
transcript.pyannote[2374].start 14372.29971875
transcript.pyannote[2374].end 14375.43846875
transcript.pyannote[2375].speaker SPEAKER_02
transcript.pyannote[2375].start 14375.82659375
transcript.pyannote[2375].end 14376.75471875
transcript.pyannote[2376].speaker SPEAKER_02
transcript.pyannote[2376].start 14377.29471875
transcript.pyannote[2376].end 14378.40846875
transcript.pyannote[2377].speaker SPEAKER_13
transcript.pyannote[2377].start 14378.40846875
transcript.pyannote[2377].end 14396.04284375
transcript.pyannote[2378].speaker SPEAKER_13
transcript.pyannote[2378].start 14396.46471875
transcript.pyannote[2378].end 14404.90221875
transcript.pyannote[2379].speaker SPEAKER_13
transcript.pyannote[2379].start 14405.13846875
transcript.pyannote[2379].end 14423.41409375
transcript.pyannote[2380].speaker SPEAKER_13
transcript.pyannote[2380].start 14423.66721875
transcript.pyannote[2380].end 14424.15659375
transcript.pyannote[2381].speaker SPEAKER_13
transcript.pyannote[2381].start 14424.44346875
transcript.pyannote[2381].end 14431.00784375
transcript.pyannote[2382].speaker SPEAKER_02
transcript.pyannote[2382].start 14431.75034375
transcript.pyannote[2382].end 14432.13846875
transcript.pyannote[2383].speaker SPEAKER_02
transcript.pyannote[2383].start 14432.96534375
transcript.pyannote[2383].end 14434.60221875
transcript.pyannote[2384].speaker SPEAKER_02
transcript.pyannote[2384].start 14434.97346875
transcript.pyannote[2384].end 14436.28971875
transcript.pyannote[2385].speaker SPEAKER_02
transcript.pyannote[2385].start 14436.47534375
transcript.pyannote[2385].end 14439.17534375
transcript.pyannote[2386].speaker SPEAKER_02
transcript.pyannote[2386].start 14439.73221875
transcript.pyannote[2386].end 14443.22534375
transcript.pyannote[2387].speaker SPEAKER_13
transcript.pyannote[2387].start 14442.43221875
transcript.pyannote[2387].end 14443.05659375
transcript.pyannote[2388].speaker SPEAKER_02
transcript.pyannote[2388].start 14443.41096875
transcript.pyannote[2388].end 14446.11096875
transcript.pyannote[2389].speaker SPEAKER_02
transcript.pyannote[2389].start 14446.33034375
transcript.pyannote[2389].end 14446.70159375
transcript.pyannote[2390].speaker SPEAKER_02
transcript.pyannote[2390].start 14447.07284375
transcript.pyannote[2390].end 14456.20221875
transcript.pyannote[2391].speaker SPEAKER_13
transcript.pyannote[2391].start 14456.20221875
transcript.pyannote[2391].end 14466.10784375
transcript.pyannote[2392].speaker SPEAKER_02
transcript.pyannote[2392].start 14456.92784375
transcript.pyannote[2392].end 14457.58596875
transcript.pyannote[2393].speaker SPEAKER_13
transcript.pyannote[2393].start 14466.51284375
transcript.pyannote[2393].end 14468.03159375
transcript.pyannote[2394].speaker SPEAKER_02
transcript.pyannote[2394].start 14468.03159375
transcript.pyannote[2394].end 14468.06534375
transcript.pyannote[2395].speaker SPEAKER_13
transcript.pyannote[2395].start 14468.06534375
transcript.pyannote[2395].end 14468.09909375
transcript.pyannote[2396].speaker SPEAKER_02
transcript.pyannote[2396].start 14468.09909375
transcript.pyannote[2396].end 14468.13284375
transcript.pyannote[2397].speaker SPEAKER_13
transcript.pyannote[2397].start 14468.43659375
transcript.pyannote[2397].end 14468.77409375
transcript.pyannote[2398].speaker SPEAKER_02
transcript.pyannote[2398].start 14469.21284375
transcript.pyannote[2398].end 14470.71471875
transcript.pyannote[2399].speaker SPEAKER_02
transcript.pyannote[2399].start 14471.03534375
transcript.pyannote[2399].end 14503.78971875
transcript.pyannote[2400].speaker SPEAKER_02
transcript.pyannote[2400].start 14504.14409375
transcript.pyannote[2400].end 14504.97096875
transcript.pyannote[2401].speaker SPEAKER_02
transcript.pyannote[2401].start 14505.39284375
transcript.pyannote[2401].end 14508.71721875
transcript.pyannote[2402].speaker SPEAKER_13
transcript.pyannote[2402].start 14508.71721875
transcript.pyannote[2402].end 14510.55659375
transcript.pyannote[2403].speaker SPEAKER_13
transcript.pyannote[2403].start 14510.67471875
transcript.pyannote[2403].end 14523.34784375
transcript.pyannote[2404].speaker SPEAKER_13
transcript.pyannote[2404].start 14523.63471875
transcript.pyannote[2404].end 14543.34471875
transcript.pyannote[2405].speaker SPEAKER_02
transcript.pyannote[2405].start 14543.91846875
transcript.pyannote[2405].end 14548.49159375
transcript.pyannote[2406].speaker SPEAKER_02
transcript.pyannote[2406].start 14548.77846875
transcript.pyannote[2406].end 14552.81159375
transcript.pyannote[2407].speaker SPEAKER_02
transcript.pyannote[2407].start 14553.08159375
transcript.pyannote[2407].end 14557.08096875
transcript.pyannote[2408].speaker SPEAKER_02
transcript.pyannote[2408].start 14557.48596875
transcript.pyannote[2408].end 14564.79284375
transcript.pyannote[2409].speaker SPEAKER_04
transcript.pyannote[2409].start 14561.38409375
transcript.pyannote[2409].end 14561.62034375
transcript.pyannote[2410].speaker SPEAKER_04
transcript.pyannote[2410].start 14563.03784375
transcript.pyannote[2410].end 14563.08846875
transcript.pyannote[2411].speaker SPEAKER_22
transcript.pyannote[2411].start 14565.31596875
transcript.pyannote[2411].end 14567.30721875
transcript.pyannote[2412].speaker SPEAKER_02
transcript.pyannote[2412].start 14570.76659375
transcript.pyannote[2412].end 14570.78346875
transcript.pyannote[2413].speaker SPEAKER_04
transcript.pyannote[2413].start 14570.78346875
transcript.pyannote[2413].end 14571.12096875
transcript.pyannote[2414].speaker SPEAKER_02
transcript.pyannote[2414].start 14571.12096875
transcript.pyannote[2414].end 14589.68346875
transcript.pyannote[2415].speaker SPEAKER_02
transcript.pyannote[2415].start 14590.02096875
transcript.pyannote[2415].end 14591.13471875
transcript.pyannote[2416].speaker SPEAKER_02
transcript.pyannote[2416].start 14591.43846875
transcript.pyannote[2416].end 14593.53096875
transcript.pyannote[2417].speaker SPEAKER_02
transcript.pyannote[2417].start 14594.47596875
transcript.pyannote[2417].end 14605.36034375
transcript.pyannote[2418].speaker SPEAKER_02
transcript.pyannote[2418].start 14605.71471875
transcript.pyannote[2418].end 14607.70596875
transcript.pyannote[2419].speaker SPEAKER_02
transcript.pyannote[2419].start 14608.26284375
transcript.pyannote[2419].end 14619.02909375
transcript.pyannote[2420].speaker SPEAKER_04
transcript.pyannote[2420].start 14619.68721875
transcript.pyannote[2420].end 14673.50159375
transcript.pyannote[2421].speaker SPEAKER_02
transcript.pyannote[2421].start 14623.58534375
transcript.pyannote[2421].end 14624.12534375
transcript.pyannote[2422].speaker SPEAKER_02
transcript.pyannote[2422].start 14624.46284375
transcript.pyannote[2422].end 14624.69909375
transcript.pyannote[2423].speaker SPEAKER_00
transcript.pyannote[2423].start 14636.03909375
transcript.pyannote[2423].end 14636.34284375
transcript.pyannote[2424].speaker SPEAKER_00
transcript.pyannote[2424].start 14657.74034375
transcript.pyannote[2424].end 14657.95971875
transcript.pyannote[2425].speaker SPEAKER_02
transcript.pyannote[2425].start 14673.50159375
transcript.pyannote[2425].end 14673.55221875
transcript.pyannote[2426].speaker SPEAKER_04
transcript.pyannote[2426].start 14674.21034375
transcript.pyannote[2426].end 14674.24409375
transcript.pyannote[2427].speaker SPEAKER_02
transcript.pyannote[2427].start 14674.24409375
transcript.pyannote[2427].end 14690.14034375
transcript.pyannote[2428].speaker SPEAKER_02
transcript.pyannote[2428].start 14690.25846875
transcript.pyannote[2428].end 14692.16534375
transcript.pyannote[2429].speaker SPEAKER_22
transcript.pyannote[2429].start 14692.55346875
transcript.pyannote[2429].end 14696.41784375
transcript.pyannote[2430].speaker SPEAKER_02
transcript.pyannote[2430].start 14695.01721875
transcript.pyannote[2430].end 14695.52346875
transcript.pyannote[2431].speaker SPEAKER_22
transcript.pyannote[2431].start 14696.87346875
transcript.pyannote[2431].end 14699.50596875
transcript.pyannote[2432].speaker SPEAKER_25
transcript.pyannote[2432].start 14709.76596875
transcript.pyannote[2432].end 14709.93471875
transcript.pyannote[2433].speaker SPEAKER_25
transcript.pyannote[2433].start 14712.85409375
transcript.pyannote[2433].end 14715.36846875
transcript.pyannote[2434].speaker SPEAKER_22
transcript.pyannote[2434].start 14715.53721875
transcript.pyannote[2434].end 14716.83659375
transcript.pyannote[2435].speaker SPEAKER_25
transcript.pyannote[2435].start 14721.17346875
transcript.pyannote[2435].end 14723.28284375
transcript.pyannote[2436].speaker SPEAKER_25
transcript.pyannote[2436].start 14723.99159375
transcript.pyannote[2436].end 14724.66659375
transcript.pyannote[2437].speaker SPEAKER_25
transcript.pyannote[2437].start 14724.98721875
transcript.pyannote[2437].end 14725.61159375
transcript.pyannote[2438].speaker SPEAKER_25
transcript.pyannote[2438].start 14725.99971875
transcript.pyannote[2438].end 14726.64096875
transcript.pyannote[2439].speaker SPEAKER_25
transcript.pyannote[2439].start 14727.23159375
transcript.pyannote[2439].end 14732.09159375
transcript.pyannote[2440].speaker SPEAKER_25
transcript.pyannote[2440].start 14732.68221875
transcript.pyannote[2440].end 14735.97284375
transcript.pyannote[2441].speaker SPEAKER_25
transcript.pyannote[2441].start 14737.18784375
transcript.pyannote[2441].end 14738.16659375
transcript.pyannote[2442].speaker SPEAKER_25
transcript.pyannote[2442].start 14738.53784375
transcript.pyannote[2442].end 14739.28034375
transcript.pyannote[2443].speaker SPEAKER_25
transcript.pyannote[2443].start 14739.97221875
transcript.pyannote[2443].end 14740.51221875
transcript.pyannote[2444].speaker SPEAKER_25
transcript.pyannote[2444].start 14741.13659375
transcript.pyannote[2444].end 14741.99721875
transcript.pyannote[2445].speaker SPEAKER_25
transcript.pyannote[2445].start 14742.67221875
transcript.pyannote[2445].end 14744.73096875
transcript.pyannote[2446].speaker SPEAKER_25
transcript.pyannote[2446].start 14745.55784375
transcript.pyannote[2446].end 14747.58284375
transcript.pyannote[2447].speaker SPEAKER_25
transcript.pyannote[2447].start 14748.07221875
transcript.pyannote[2447].end 14749.91159375
transcript.pyannote[2448].speaker SPEAKER_25
transcript.pyannote[2448].start 14750.09721875
transcript.pyannote[2448].end 14757.52221875
transcript.pyannote[2449].speaker SPEAKER_25
transcript.pyannote[2449].start 14759.46284375
transcript.pyannote[2449].end 14760.03659375
transcript.pyannote[2450].speaker SPEAKER_25
transcript.pyannote[2450].start 14760.49221875
transcript.pyannote[2450].end 14761.67346875
transcript.pyannote[2451].speaker SPEAKER_25
transcript.pyannote[2451].start 14762.73659375
transcript.pyannote[2451].end 14764.10346875
transcript.pyannote[2452].speaker SPEAKER_25
transcript.pyannote[2452].start 14764.57596875
transcript.pyannote[2452].end 14765.75721875
transcript.pyannote[2453].speaker SPEAKER_25
transcript.pyannote[2453].start 14766.95534375
transcript.pyannote[2453].end 14767.44471875
transcript.pyannote[2454].speaker SPEAKER_25
transcript.pyannote[2454].start 14767.66409375
transcript.pyannote[2454].end 14769.03096875
transcript.pyannote[2455].speaker SPEAKER_25
transcript.pyannote[2455].start 14770.06034375
transcript.pyannote[2455].end 14771.47784375
transcript.pyannote[2456].speaker SPEAKER_25
transcript.pyannote[2456].start 14772.33846875
transcript.pyannote[2456].end 14773.58721875
transcript.pyannote[2457].speaker SPEAKER_25
transcript.pyannote[2457].start 14773.90784375
transcript.pyannote[2457].end 14774.86971875
transcript.pyannote[2458].speaker SPEAKER_25
transcript.pyannote[2458].start 14776.03409375
transcript.pyannote[2458].end 14777.51909375
transcript.pyannote[2459].speaker SPEAKER_25
transcript.pyannote[2459].start 14778.17721875
transcript.pyannote[2459].end 14779.29096875
transcript.pyannote[2460].speaker SPEAKER_25
transcript.pyannote[2460].start 14780.05034375
transcript.pyannote[2460].end 14781.68721875
transcript.pyannote[2461].speaker SPEAKER_25
transcript.pyannote[2461].start 14782.56471875
transcript.pyannote[2461].end 14784.31971875
transcript.pyannote[2462].speaker SPEAKER_25
transcript.pyannote[2462].start 14784.85971875
transcript.pyannote[2462].end 14785.99034375
transcript.pyannote[2463].speaker SPEAKER_25
transcript.pyannote[2463].start 14786.49659375
transcript.pyannote[2463].end 14787.89721875
transcript.pyannote[2464].speaker SPEAKER_25
transcript.pyannote[2464].start 14788.97721875
transcript.pyannote[2464].end 14792.77409375
transcript.pyannote[2465].speaker SPEAKER_25
transcript.pyannote[2465].start 14793.19596875
transcript.pyannote[2465].end 14794.22534375
transcript.pyannote[2466].speaker SPEAKER_25
transcript.pyannote[2466].start 14794.66409375
transcript.pyannote[2466].end 14795.45721875
transcript.pyannote[2467].speaker SPEAKER_25
transcript.pyannote[2467].start 14795.71034375
transcript.pyannote[2467].end 14797.70159375
transcript.pyannote[2468].speaker SPEAKER_25
transcript.pyannote[2468].start 14798.86596875
transcript.pyannote[2468].end 14799.84471875
transcript.pyannote[2469].speaker SPEAKER_25
transcript.pyannote[2469].start 14800.31721875
transcript.pyannote[2469].end 14801.41409375
transcript.pyannote[2470].speaker SPEAKER_25
transcript.pyannote[2470].start 14802.66284375
transcript.pyannote[2470].end 14803.69221875
transcript.pyannote[2471].speaker SPEAKER_25
transcript.pyannote[2471].start 14804.75534375
transcript.pyannote[2471].end 14806.27409375
transcript.pyannote[2472].speaker SPEAKER_25
transcript.pyannote[2472].start 14806.37534375
transcript.pyannote[2472].end 14807.40471875
transcript.pyannote[2473].speaker SPEAKER_25
transcript.pyannote[2473].start 14808.13034375
transcript.pyannote[2473].end 14809.48034375
transcript.pyannote[2474].speaker SPEAKER_25
transcript.pyannote[2474].start 14810.23971875
transcript.pyannote[2474].end 14811.57284375
transcript.pyannote[2475].speaker SPEAKER_25
transcript.pyannote[2475].start 14812.04534375
transcript.pyannote[2475].end 14813.64846875
transcript.pyannote[2476].speaker SPEAKER_25
transcript.pyannote[2476].start 14814.32346875
transcript.pyannote[2476].end 14815.53846875
transcript.pyannote[2477].speaker SPEAKER_25
transcript.pyannote[2477].start 14816.31471875
transcript.pyannote[2477].end 14816.58471875
transcript.pyannote[2478].speaker SPEAKER_25
transcript.pyannote[2478].start 14817.39471875
transcript.pyannote[2478].end 14818.33971875
transcript.pyannote[2479].speaker SPEAKER_25
transcript.pyannote[2479].start 14818.81221875
transcript.pyannote[2479].end 14819.25096875
transcript.pyannote[2480].speaker SPEAKER_25
transcript.pyannote[2480].start 14819.97659375
transcript.pyannote[2480].end 14821.47846875
transcript.pyannote[2481].speaker SPEAKER_25
transcript.pyannote[2481].start 14822.25471875
transcript.pyannote[2481].end 14822.87909375
transcript.pyannote[2482].speaker SPEAKER_25
transcript.pyannote[2482].start 14822.96346875
transcript.pyannote[2482].end 14824.56659375
transcript.pyannote[2483].speaker SPEAKER_25
transcript.pyannote[2483].start 14824.75221875
transcript.pyannote[2483].end 14826.08534375
transcript.pyannote[2484].speaker SPEAKER_25
transcript.pyannote[2484].start 14826.42284375
transcript.pyannote[2484].end 14827.63784375
transcript.pyannote[2485].speaker SPEAKER_25
transcript.pyannote[2485].start 14828.12721875
transcript.pyannote[2485].end 14832.66659375
transcript.pyannote[2486].speaker SPEAKER_25
transcript.pyannote[2486].start 14833.30784375
transcript.pyannote[2486].end 14834.60721875
transcript.pyannote[2487].speaker SPEAKER_25
transcript.pyannote[2487].start 14835.94034375
transcript.pyannote[2487].end 14838.37034375
transcript.pyannote[2488].speaker SPEAKER_25
transcript.pyannote[2488].start 14838.52221875
transcript.pyannote[2488].end 14839.02846875
transcript.pyannote[2489].speaker SPEAKER_25
transcript.pyannote[2489].start 14839.38284375
transcript.pyannote[2489].end 14844.85034375
transcript.pyannote[2490].speaker SPEAKER_25
transcript.pyannote[2490].start 14845.60971875
transcript.pyannote[2490].end 14845.91346875
transcript.pyannote[2491].speaker SPEAKER_25
transcript.pyannote[2491].start 14846.35221875
transcript.pyannote[2491].end 14847.70221875
transcript.pyannote[2492].speaker SPEAKER_25
transcript.pyannote[2492].start 14847.98909375
transcript.pyannote[2492].end 14848.83284375
transcript.pyannote[2493].speaker SPEAKER_25
transcript.pyannote[2493].start 14848.93409375
transcript.pyannote[2493].end 14849.98034375
transcript.pyannote[2494].speaker SPEAKER_25
transcript.pyannote[2494].start 14850.63846875
transcript.pyannote[2494].end 14854.13159375
transcript.pyannote[2495].speaker SPEAKER_25
transcript.pyannote[2495].start 14855.29596875
transcript.pyannote[2495].end 14856.61221875
transcript.pyannote[2496].speaker SPEAKER_25
transcript.pyannote[2496].start 14857.03409375
transcript.pyannote[2496].end 14861.25284375
transcript.pyannote[2497].speaker SPEAKER_25
transcript.pyannote[2497].start 14861.59034375
transcript.pyannote[2497].end 14862.63659375
transcript.pyannote[2498].speaker SPEAKER_25
transcript.pyannote[2498].start 14864.69534375
transcript.pyannote[2498].end 14866.77096875
transcript.pyannote[2499].speaker SPEAKER_25
transcript.pyannote[2499].start 14867.10846875
transcript.pyannote[2499].end 14868.96471875
transcript.pyannote[2500].speaker SPEAKER_25
transcript.pyannote[2500].start 14869.65659375
transcript.pyannote[2500].end 14872.30596875
transcript.pyannote[2501].speaker SPEAKER_25
transcript.pyannote[2501].start 14873.06534375
transcript.pyannote[2501].end 14881.67159375
transcript.pyannote[2502].speaker SPEAKER_25
transcript.pyannote[2502].start 14882.76846875
transcript.pyannote[2502].end 14884.27034375
transcript.pyannote[2503].speaker SPEAKER_25
transcript.pyannote[2503].start 14884.74284375
transcript.pyannote[2503].end 14886.04221875
transcript.pyannote[2504].speaker SPEAKER_25
transcript.pyannote[2504].start 14886.64971875
transcript.pyannote[2504].end 14886.97034375
transcript.pyannote[2505].speaker SPEAKER_25
transcript.pyannote[2505].start 14888.30346875
transcript.pyannote[2505].end 14892.52221875
transcript.pyannote[2506].speaker SPEAKER_25
transcript.pyannote[2506].start 14894.04096875
transcript.pyannote[2506].end 14894.74971875
transcript.pyannote[2507].speaker SPEAKER_25
transcript.pyannote[2507].start 14895.01971875
transcript.pyannote[2507].end 14899.10346875
transcript.pyannote[2508].speaker SPEAKER_25
transcript.pyannote[2508].start 14900.03159375
transcript.pyannote[2508].end 14900.77409375
transcript.pyannote[2509].speaker SPEAKER_25
transcript.pyannote[2509].start 14901.38159375
transcript.pyannote[2509].end 14903.06909375
transcript.pyannote[2510].speaker SPEAKER_25
transcript.pyannote[2510].start 14903.49096875
transcript.pyannote[2510].end 14906.29221875
transcript.pyannote[2511].speaker SPEAKER_25
transcript.pyannote[2511].start 14907.33846875
transcript.pyannote[2511].end 14908.03034375
transcript.pyannote[2512].speaker SPEAKER_25
transcript.pyannote[2512].start 14908.80659375
transcript.pyannote[2512].end 14909.43096875
transcript.pyannote[2513].speaker SPEAKER_25
transcript.pyannote[2513].start 14909.76846875
transcript.pyannote[2513].end 14919.79221875
transcript.pyannote[2514].speaker SPEAKER_25
transcript.pyannote[2514].start 14920.16346875
transcript.pyannote[2514].end 14932.80284375
transcript.pyannote[2515].speaker SPEAKER_25
transcript.pyannote[2515].start 14933.10659375
transcript.pyannote[2515].end 14936.38034375
transcript.pyannote[2516].speaker SPEAKER_25
transcript.pyannote[2516].start 14937.03846875
transcript.pyannote[2516].end 14938.10159375
transcript.pyannote[2517].speaker SPEAKER_25
transcript.pyannote[2517].start 14938.94534375
transcript.pyannote[2517].end 14942.35409375
transcript.pyannote[2518].speaker SPEAKER_25
transcript.pyannote[2518].start 14942.43846875
transcript.pyannote[2518].end 14943.65346875
transcript.pyannote[2519].speaker SPEAKER_25
transcript.pyannote[2519].start 14944.51409375
transcript.pyannote[2519].end 14948.56409375
transcript.pyannote[2520].speaker SPEAKER_25
transcript.pyannote[2520].start 14949.12096875
transcript.pyannote[2520].end 14950.08284375
transcript.pyannote[2521].speaker SPEAKER_25
transcript.pyannote[2521].start 14950.60596875
transcript.pyannote[2521].end 14952.04034375
transcript.pyannote[2522].speaker SPEAKER_25
transcript.pyannote[2522].start 14952.88409375
transcript.pyannote[2522].end 14953.22159375
transcript.pyannote[2523].speaker SPEAKER_25
transcript.pyannote[2523].start 14953.54221875
transcript.pyannote[2523].end 14955.09471875
transcript.pyannote[2524].speaker SPEAKER_25
transcript.pyannote[2524].start 14955.78659375
transcript.pyannote[2524].end 14957.57534375
transcript.pyannote[2525].speaker SPEAKER_25
transcript.pyannote[2525].start 14958.26721875
transcript.pyannote[2525].end 14958.63846875
transcript.pyannote[2526].speaker SPEAKER_25
transcript.pyannote[2526].start 14960.25846875
transcript.pyannote[2526].end 14961.62534375
transcript.pyannote[2527].speaker SPEAKER_25
transcript.pyannote[2527].start 14961.77721875
transcript.pyannote[2527].end 14962.77284375
transcript.pyannote[2528].speaker SPEAKER_24
transcript.pyannote[2528].start 14965.23659375
transcript.pyannote[2528].end 14966.55284375
transcript.pyannote[2529].speaker SPEAKER_24
transcript.pyannote[2529].start 14966.99159375
transcript.pyannote[2529].end 14975.58096875
transcript.pyannote[2530].speaker SPEAKER_24
transcript.pyannote[2530].start 14975.78346875
transcript.pyannote[2530].end 15012.84096875
transcript.pyannote[2531].speaker SPEAKER_25
transcript.pyannote[2531].start 15008.48721875
transcript.pyannote[2531].end 15012.97596875
transcript.pyannote[2532].speaker SPEAKER_25
transcript.pyannote[2532].start 15013.75221875
transcript.pyannote[2532].end 15015.60846875
transcript.pyannote[2533].speaker SPEAKER_25
transcript.pyannote[2533].start 15015.84471875
transcript.pyannote[2533].end 15023.03346875
transcript.pyannote[2534].speaker SPEAKER_25
transcript.pyannote[2534].start 15023.48909375
transcript.pyannote[2534].end 15024.38346875
transcript.pyannote[2535].speaker SPEAKER_25
transcript.pyannote[2535].start 15024.82221875
transcript.pyannote[2535].end 15025.69971875
transcript.pyannote[2536].speaker SPEAKER_25
transcript.pyannote[2536].start 15027.04971875
transcript.pyannote[2536].end 15028.02846875
transcript.pyannote[2537].speaker SPEAKER_25
transcript.pyannote[2537].start 15028.61909375
transcript.pyannote[2537].end 15029.78346875
transcript.pyannote[2538].speaker SPEAKER_25
transcript.pyannote[2538].start 15030.54284375
transcript.pyannote[2538].end 15031.40346875
transcript.pyannote[2539].speaker SPEAKER_25
transcript.pyannote[2539].start 15031.67346875
transcript.pyannote[2539].end 15032.23034375
transcript.pyannote[2540].speaker SPEAKER_25
transcript.pyannote[2540].start 15032.60159375
transcript.pyannote[2540].end 15033.37784375
transcript.pyannote[2541].speaker SPEAKER_25
transcript.pyannote[2541].start 15033.73221875
transcript.pyannote[2541].end 15035.23409375
transcript.pyannote[2542].speaker SPEAKER_25
transcript.pyannote[2542].start 15035.48721875
transcript.pyannote[2542].end 15036.31409375
transcript.pyannote[2543].speaker SPEAKER_25
transcript.pyannote[2543].start 15038.15346875
transcript.pyannote[2543].end 15040.26284375
transcript.pyannote[2544].speaker SPEAKER_25
transcript.pyannote[2544].start 15040.92096875
transcript.pyannote[2544].end 15042.37221875
transcript.pyannote[2545].speaker SPEAKER_25
transcript.pyannote[2545].start 15043.16534375
transcript.pyannote[2545].end 15044.16096875
transcript.pyannote[2546].speaker SPEAKER_25
transcript.pyannote[2546].start 15044.93721875
transcript.pyannote[2546].end 15046.16909375
transcript.pyannote[2547].speaker SPEAKER_25
transcript.pyannote[2547].start 15047.92409375
transcript.pyannote[2547].end 15048.91971875
transcript.pyannote[2548].speaker SPEAKER_25
transcript.pyannote[2548].start 15049.07159375
transcript.pyannote[2548].end 15050.60721875
transcript.pyannote[2549].speaker SPEAKER_25
transcript.pyannote[2549].start 15052.10909375
transcript.pyannote[2549].end 15053.67846875
transcript.pyannote[2550].speaker SPEAKER_25
transcript.pyannote[2550].start 15054.21846875
transcript.pyannote[2550].end 15055.48409375
transcript.pyannote[2551].speaker SPEAKER_25
transcript.pyannote[2551].start 15056.91846875
transcript.pyannote[2551].end 15066.23346875
transcript.pyannote[2552].speaker SPEAKER_25
transcript.pyannote[2552].start 15066.50346875
transcript.pyannote[2552].end 15068.54534375
transcript.pyannote[2553].speaker SPEAKER_25
transcript.pyannote[2553].start 15068.95034375
transcript.pyannote[2553].end 15069.64221875
transcript.pyannote[2554].speaker SPEAKER_25
transcript.pyannote[2554].start 15070.65471875
transcript.pyannote[2554].end 15073.15221875
transcript.pyannote[2555].speaker SPEAKER_25
transcript.pyannote[2555].start 15074.40096875
transcript.pyannote[2555].end 15078.65346875
transcript.pyannote[2556].speaker SPEAKER_25
transcript.pyannote[2556].start 15079.93596875
transcript.pyannote[2556].end 15080.30721875
transcript.pyannote[2557].speaker SPEAKER_25
transcript.pyannote[2557].start 15082.34909375
transcript.pyannote[2557].end 15083.56409375
transcript.pyannote[2558].speaker SPEAKER_25
transcript.pyannote[2558].start 15084.76221875
transcript.pyannote[2558].end 15085.16721875
transcript.pyannote[2559].speaker SPEAKER_25
transcript.pyannote[2559].start 15086.29784375
transcript.pyannote[2559].end 15089.04846875
transcript.pyannote[2560].speaker SPEAKER_25
transcript.pyannote[2560].start 15090.68534375
transcript.pyannote[2560].end 15090.97221875
transcript.pyannote[2561].speaker SPEAKER_30
transcript.pyannote[2561].start 15090.97221875
transcript.pyannote[2561].end 15091.02284375
transcript.pyannote[2562].speaker SPEAKER_25
transcript.pyannote[2562].start 15091.02284375
transcript.pyannote[2562].end 15091.05659375
transcript.pyannote[2563].speaker SPEAKER_30
transcript.pyannote[2563].start 15091.05659375
transcript.pyannote[2563].end 15091.32659375
transcript.pyannote[2564].speaker SPEAKER_22
transcript.pyannote[2564].start 15091.25909375
transcript.pyannote[2564].end 15095.51159375
transcript.pyannote[2565].speaker SPEAKER_25
transcript.pyannote[2565].start 15091.32659375
transcript.pyannote[2565].end 15091.34346875
transcript.pyannote[2566].speaker SPEAKER_30
transcript.pyannote[2566].start 15091.34346875
transcript.pyannote[2566].end 15091.56284375
transcript.pyannote[2567].speaker SPEAKER_25
transcript.pyannote[2567].start 15091.56284375
transcript.pyannote[2567].end 15092.45721875
transcript.pyannote[2568].speaker SPEAKER_25
transcript.pyannote[2568].start 15094.43159375
transcript.pyannote[2568].end 15098.80221875
transcript.pyannote[2569].speaker SPEAKER_25
transcript.pyannote[2569].start 15099.29159375
transcript.pyannote[2569].end 15100.10159375
transcript.pyannote[2570].speaker SPEAKER_25
transcript.pyannote[2570].start 15100.67534375
transcript.pyannote[2570].end 15101.45159375
transcript.pyannote[2571].speaker SPEAKER_25
transcript.pyannote[2571].start 15102.05909375
transcript.pyannote[2571].end 15104.40471875
transcript.pyannote[2572].speaker SPEAKER_25
transcript.pyannote[2572].start 15104.59034375
transcript.pyannote[2572].end 15108.33659375
transcript.pyannote[2573].speaker SPEAKER_25
transcript.pyannote[2573].start 15108.60659375
transcript.pyannote[2573].end 15113.63534375
transcript.pyannote[2574].speaker SPEAKER_25
transcript.pyannote[2574].start 15114.14159375
transcript.pyannote[2574].end 15115.18784375
transcript.pyannote[2575].speaker SPEAKER_25
transcript.pyannote[2575].start 15115.96409375
transcript.pyannote[2575].end 15117.46596875
transcript.pyannote[2576].speaker SPEAKER_25
transcript.pyannote[2576].start 15117.90471875
transcript.pyannote[2576].end 15119.60909375
transcript.pyannote[2577].speaker SPEAKER_25
transcript.pyannote[2577].start 15120.03096875
transcript.pyannote[2577].end 15123.18659375
transcript.pyannote[2578].speaker SPEAKER_25
transcript.pyannote[2578].start 15123.42284375
transcript.pyannote[2578].end 15123.97971875
transcript.pyannote[2579].speaker SPEAKER_25
transcript.pyannote[2579].start 15124.03034375
transcript.pyannote[2579].end 15124.06409375
transcript.pyannote[2580].speaker SPEAKER_24
transcript.pyannote[2580].start 15124.06409375
transcript.pyannote[2580].end 15124.72221875
transcript.pyannote[2581].speaker SPEAKER_25
transcript.pyannote[2581].start 15124.72221875
transcript.pyannote[2581].end 15126.44346875
transcript.pyannote[2582].speaker SPEAKER_25
transcript.pyannote[2582].start 15126.56159375
transcript.pyannote[2582].end 15127.54034375
transcript.pyannote[2583].speaker SPEAKER_24
transcript.pyannote[2583].start 15127.54034375
transcript.pyannote[2583].end 15127.64159375
transcript.pyannote[2584].speaker SPEAKER_24
transcript.pyannote[2584].start 15127.72596875
transcript.pyannote[2584].end 15127.86096875
transcript.pyannote[2585].speaker SPEAKER_25
transcript.pyannote[2585].start 15127.86096875
transcript.pyannote[2585].end 15129.19409375
transcript.pyannote[2586].speaker SPEAKER_24
transcript.pyannote[2586].start 15129.19409375
transcript.pyannote[2586].end 15129.21096875
transcript.pyannote[2587].speaker SPEAKER_25
transcript.pyannote[2587].start 15129.48096875
transcript.pyannote[2587].end 15130.22346875
transcript.pyannote[2588].speaker SPEAKER_22
transcript.pyannote[2588].start 15129.71721875
transcript.pyannote[2588].end 15153.57846875
transcript.pyannote[2589].speaker SPEAKER_24
transcript.pyannote[2589].start 15130.22346875
transcript.pyannote[2589].end 15130.24034375
transcript.pyannote[2590].speaker SPEAKER_31
transcript.pyannote[2590].start 15162.97784375
transcript.pyannote[2590].end 15166.13346875
transcript.pyannote[2591].speaker SPEAKER_27
transcript.pyannote[2591].start 15169.93034375
transcript.pyannote[2591].end 15170.65596875
transcript.pyannote[2592].speaker SPEAKER_31
transcript.pyannote[2592].start 15170.80784375
transcript.pyannote[2592].end 15170.85846875
transcript.pyannote[2593].speaker SPEAKER_21
transcript.pyannote[2593].start 15170.85846875
transcript.pyannote[2593].end 15176.15721875
transcript.pyannote[2594].speaker SPEAKER_21
transcript.pyannote[2594].start 15176.61284375
transcript.pyannote[2594].end 15213.18096875
transcript.pyannote[2595].speaker SPEAKER_21
transcript.pyannote[2595].start 15213.60284375
transcript.pyannote[2595].end 15214.69971875
transcript.pyannote[2596].speaker SPEAKER_21
transcript.pyannote[2596].start 15215.05409375
transcript.pyannote[2596].end 15220.40346875
transcript.pyannote[2597].speaker SPEAKER_21
transcript.pyannote[2597].start 15220.82534375
transcript.pyannote[2597].end 15222.59721875
transcript.pyannote[2598].speaker SPEAKER_21
transcript.pyannote[2598].start 15222.73221875
transcript.pyannote[2598].end 15232.03034375
transcript.pyannote[2599].speaker SPEAKER_21
transcript.pyannote[2599].start 15232.21596875
transcript.pyannote[2599].end 15233.32971875
transcript.pyannote[2600].speaker SPEAKER_21
transcript.pyannote[2600].start 15234.02159375
transcript.pyannote[2600].end 15235.99596875
transcript.pyannote[2601].speaker SPEAKER_21
transcript.pyannote[2601].start 15236.43471875
transcript.pyannote[2601].end 15280.22534375
transcript.pyannote[2602].speaker SPEAKER_21
transcript.pyannote[2602].start 15280.54596875
transcript.pyannote[2602].end 15289.45596875
transcript.pyannote[2603].speaker SPEAKER_24
transcript.pyannote[2603].start 15292.10534375
transcript.pyannote[2603].end 15294.46784375
transcript.pyannote[2604].speaker SPEAKER_04
transcript.pyannote[2604].start 15294.07971875
transcript.pyannote[2604].end 15294.41721875
transcript.pyannote[2605].speaker SPEAKER_04
transcript.pyannote[2605].start 15294.46784375
transcript.pyannote[2605].end 15294.50159375
transcript.pyannote[2606].speaker SPEAKER_04
transcript.pyannote[2606].start 15295.44659375
transcript.pyannote[2606].end 15309.09846875
transcript.pyannote[2607].speaker SPEAKER_28
transcript.pyannote[2607].start 15299.71596875
transcript.pyannote[2607].end 15299.78346875
transcript.pyannote[2608].speaker SPEAKER_28
transcript.pyannote[2608].start 15303.12471875
transcript.pyannote[2608].end 15303.24284375
transcript.pyannote[2609].speaker SPEAKER_21
transcript.pyannote[2609].start 15303.24284375
transcript.pyannote[2609].end 15303.41159375
transcript.pyannote[2610].speaker SPEAKER_28
transcript.pyannote[2610].start 15303.41159375
transcript.pyannote[2610].end 15303.44534375
transcript.pyannote[2611].speaker SPEAKER_21
transcript.pyannote[2611].start 15306.85409375
transcript.pyannote[2611].end 15307.25909375
transcript.pyannote[2612].speaker SPEAKER_21
transcript.pyannote[2612].start 15308.17034375
transcript.pyannote[2612].end 15354.22221875
transcript.pyannote[2613].speaker SPEAKER_21
transcript.pyannote[2613].start 15355.01534375
transcript.pyannote[2613].end 15356.82096875
transcript.pyannote[2614].speaker SPEAKER_21
transcript.pyannote[2614].start 15356.92221875
transcript.pyannote[2614].end 15359.21721875
transcript.pyannote[2615].speaker SPEAKER_04
transcript.pyannote[2615].start 15365.71409375
transcript.pyannote[2615].end 15372.44721875
transcript.pyannote[2616].speaker SPEAKER_21
transcript.pyannote[2616].start 15370.60784375
transcript.pyannote[2616].end 15370.84409375
transcript.pyannote[2617].speaker SPEAKER_21
transcript.pyannote[2617].start 15372.66659375
transcript.pyannote[2617].end 15374.06721875
transcript.pyannote[2618].speaker SPEAKER_21
transcript.pyannote[2618].start 15374.23596875
transcript.pyannote[2618].end 15374.38784375
transcript.pyannote[2619].speaker SPEAKER_04
transcript.pyannote[2619].start 15375.36659375
transcript.pyannote[2619].end 15379.11284375
transcript.pyannote[2620].speaker SPEAKER_23
transcript.pyannote[2620].start 15378.97784375
transcript.pyannote[2620].end 15386.25096875
transcript.pyannote[2621].speaker SPEAKER_23
transcript.pyannote[2621].start 15386.50409375
transcript.pyannote[2621].end 15387.93846875
transcript.pyannote[2622].speaker SPEAKER_21
transcript.pyannote[2622].start 15388.24221875
transcript.pyannote[2622].end 15391.21221875
transcript.pyannote[2623].speaker SPEAKER_23
transcript.pyannote[2623].start 15389.94659375
transcript.pyannote[2623].end 15390.16596875
transcript.pyannote[2624].speaker SPEAKER_23
transcript.pyannote[2624].start 15391.33034375
transcript.pyannote[2624].end 15398.08034375
transcript.pyannote[2625].speaker SPEAKER_21
transcript.pyannote[2625].start 15397.33784375
transcript.pyannote[2625].end 15405.20159375
transcript.pyannote[2626].speaker SPEAKER_23
transcript.pyannote[2626].start 15398.36721875
transcript.pyannote[2626].end 15401.06721875
transcript.pyannote[2627].speaker SPEAKER_21
transcript.pyannote[2627].start 15405.53909375
transcript.pyannote[2627].end 15408.88034375
transcript.pyannote[2628].speaker SPEAKER_21
transcript.pyannote[2628].start 15409.23471875
transcript.pyannote[2628].end 15473.66346875
transcript.pyannote[2629].speaker SPEAKER_21
transcript.pyannote[2629].start 15475.41846875
transcript.pyannote[2629].end 15522.55034375
transcript.pyannote[2630].speaker SPEAKER_04
transcript.pyannote[2630].start 15523.73159375
transcript.pyannote[2630].end 15523.95096875
transcript.pyannote[2631].speaker SPEAKER_24
transcript.pyannote[2631].start 15524.49096875
transcript.pyannote[2631].end 15526.65096875
transcript.pyannote[2632].speaker SPEAKER_04
transcript.pyannote[2632].start 15526.48221875
transcript.pyannote[2632].end 15526.53284375
transcript.pyannote[2633].speaker SPEAKER_04
transcript.pyannote[2633].start 15526.65096875
transcript.pyannote[2633].end 15526.68471875
transcript.pyannote[2634].speaker SPEAKER_24
transcript.pyannote[2634].start 15526.68471875
transcript.pyannote[2634].end 15526.70159375
transcript.pyannote[2635].speaker SPEAKER_04
transcript.pyannote[2635].start 15526.70159375
transcript.pyannote[2635].end 15526.73534375
transcript.pyannote[2636].speaker SPEAKER_04
transcript.pyannote[2636].start 15527.32596875
transcript.pyannote[2636].end 15538.69971875
transcript.pyannote[2637].speaker SPEAKER_21
transcript.pyannote[2637].start 15537.09659375
transcript.pyannote[2637].end 15539.25659375
transcript.pyannote[2638].speaker SPEAKER_04
transcript.pyannote[2638].start 15539.25659375
transcript.pyannote[2638].end 15548.90909375
transcript.pyannote[2639].speaker SPEAKER_21
transcript.pyannote[2639].start 15541.51784375
transcript.pyannote[2639].end 15542.04096875
transcript.pyannote[2640].speaker SPEAKER_21
transcript.pyannote[2640].start 15542.61471875
transcript.pyannote[2640].end 15542.90159375
transcript.pyannote[2641].speaker SPEAKER_21
transcript.pyannote[2641].start 15547.28909375
transcript.pyannote[2641].end 15580.87034375
transcript.pyannote[2642].speaker SPEAKER_24
transcript.pyannote[2642].start 15580.22909375
transcript.pyannote[2642].end 15587.04659375
transcript.pyannote[2643].speaker SPEAKER_21
transcript.pyannote[2643].start 15586.38846875
transcript.pyannote[2643].end 15602.85846875
transcript.pyannote[2644].speaker SPEAKER_22
transcript.pyannote[2644].start 15603.41534375
transcript.pyannote[2644].end 15644.16846875
transcript.pyannote[2645].speaker SPEAKER_21
transcript.pyannote[2645].start 15603.44909375
transcript.pyannote[2645].end 15603.70221875
transcript.pyannote[2646].speaker SPEAKER_21
transcript.pyannote[2646].start 15604.39409375
transcript.pyannote[2646].end 15605.55846875
transcript.pyannote[2647].speaker SPEAKER_21
transcript.pyannote[2647].start 15605.84534375
transcript.pyannote[2647].end 15607.95471875
transcript.pyannote[2648].speaker SPEAKER_21
transcript.pyannote[2648].start 15609.37221875
transcript.pyannote[2648].end 15609.82784375
transcript.pyannote[2649].speaker SPEAKER_31
transcript.pyannote[2649].start 15611.02596875
transcript.pyannote[2649].end 15611.49846875
transcript.pyannote[2650].speaker SPEAKER_21
transcript.pyannote[2650].start 15641.94096875
transcript.pyannote[2650].end 15643.12221875
transcript.pyannote[2651].speaker SPEAKER_21
transcript.pyannote[2651].start 15643.69596875
transcript.pyannote[2651].end 15646.64909375
transcript.pyannote[2652].speaker SPEAKER_22
transcript.pyannote[2652].start 15647.44221875
transcript.pyannote[2652].end 15650.86784375
transcript.pyannote[2653].speaker SPEAKER_21
transcript.pyannote[2653].start 15650.10846875
transcript.pyannote[2653].end 15654.39471875
transcript.pyannote[2654].speaker SPEAKER_22
transcript.pyannote[2654].start 15651.55971875
transcript.pyannote[2654].end 15652.33596875
transcript.pyannote[2655].speaker SPEAKER_22
transcript.pyannote[2655].start 15654.39471875
transcript.pyannote[2655].end 15663.08534375
transcript.pyannote[2656].speaker SPEAKER_21
transcript.pyannote[2656].start 15654.41159375
transcript.pyannote[2656].end 15654.90096875
transcript.pyannote[2657].speaker SPEAKER_21
transcript.pyannote[2657].start 15658.24221875
transcript.pyannote[2657].end 15659.50784375
transcript.pyannote[2658].speaker SPEAKER_21
transcript.pyannote[2658].start 15660.92534375
transcript.pyannote[2658].end 15663.45659375
transcript.pyannote[2659].speaker SPEAKER_22
transcript.pyannote[2659].start 15664.63784375
transcript.pyannote[2659].end 15665.31284375
transcript.pyannote[2660].speaker SPEAKER_22
transcript.pyannote[2660].start 15665.41409375
transcript.pyannote[2660].end 15665.80221875
transcript.pyannote[2661].speaker SPEAKER_21
transcript.pyannote[2661].start 15665.80221875
transcript.pyannote[2661].end 15668.62034375
transcript.pyannote[2662].speaker SPEAKER_22
transcript.pyannote[2662].start 15670.12221875
transcript.pyannote[2662].end 15676.70346875
transcript.pyannote[2663].speaker SPEAKER_21
transcript.pyannote[2663].start 15675.30284375
transcript.pyannote[2663].end 15681.02346875
transcript.pyannote[2664].speaker SPEAKER_22
transcript.pyannote[2664].start 15679.26846875
transcript.pyannote[2664].end 15679.31909375
transcript.pyannote[2665].speaker SPEAKER_04
transcript.pyannote[2665].start 15679.31909375
transcript.pyannote[2665].end 15680.31471875
transcript.pyannote[2666].speaker SPEAKER_04
transcript.pyannote[2666].start 15681.02346875
transcript.pyannote[2666].end 15685.91721875
transcript.pyannote[2667].speaker SPEAKER_21
transcript.pyannote[2667].start 15685.44471875
transcript.pyannote[2667].end 15687.40221875
transcript.pyannote[2668].speaker SPEAKER_04
transcript.pyannote[2668].start 15687.84096875
transcript.pyannote[2668].end 15688.85346875
transcript.pyannote[2669].speaker SPEAKER_04
transcript.pyannote[2669].start 15689.54534375
transcript.pyannote[2669].end 15691.11471875
transcript.pyannote[2670].speaker SPEAKER_21
transcript.pyannote[2670].start 15690.89534375
transcript.pyannote[2670].end 15700.21034375
transcript.pyannote[2671].speaker SPEAKER_04
transcript.pyannote[2671].start 15691.18221875
transcript.pyannote[2671].end 15691.48596875
transcript.pyannote[2672].speaker SPEAKER_04
transcript.pyannote[2672].start 15693.56159375
transcript.pyannote[2672].end 15693.88221875
transcript.pyannote[2673].speaker SPEAKER_04
transcript.pyannote[2673].start 15694.32096875
transcript.pyannote[2673].end 15695.14784375
transcript.pyannote[2674].speaker SPEAKER_21
transcript.pyannote[2674].start 15701.34096875
transcript.pyannote[2674].end 15704.02409375
transcript.pyannote[2675].speaker SPEAKER_22
transcript.pyannote[2675].start 15701.37471875
transcript.pyannote[2675].end 15704.51346875
transcript.pyannote[2676].speaker SPEAKER_31
transcript.pyannote[2676].start 15704.02409375
transcript.pyannote[2676].end 15704.53034375
transcript.pyannote[2677].speaker SPEAKER_22
transcript.pyannote[2677].start 15704.53034375
transcript.pyannote[2677].end 15704.54721875
transcript.pyannote[2678].speaker SPEAKER_21
transcript.pyannote[2678].start 15704.54721875
transcript.pyannote[2678].end 15704.59784375
transcript.pyannote[2679].speaker SPEAKER_22
transcript.pyannote[2679].start 15704.59784375
transcript.pyannote[2679].end 15705.12096875
transcript.pyannote[2680].speaker SPEAKER_31
transcript.pyannote[2680].start 15705.12096875
transcript.pyannote[2680].end 15705.20534375
transcript.pyannote[2681].speaker SPEAKER_22
transcript.pyannote[2681].start 15705.42471875
transcript.pyannote[2681].end 15705.44159375
transcript.pyannote[2682].speaker SPEAKER_31
transcript.pyannote[2682].start 15705.44159375
transcript.pyannote[2682].end 15705.45846875
transcript.pyannote[2683].speaker SPEAKER_22
transcript.pyannote[2683].start 15705.45846875
transcript.pyannote[2683].end 15705.84659375
transcript.pyannote[2684].speaker SPEAKER_31
transcript.pyannote[2684].start 15705.84659375
transcript.pyannote[2684].end 15705.86346875
transcript.pyannote[2685].speaker SPEAKER_21
transcript.pyannote[2685].start 15705.86346875
transcript.pyannote[2685].end 15705.89721875
transcript.pyannote[2686].speaker SPEAKER_22
transcript.pyannote[2686].start 15705.89721875
transcript.pyannote[2686].end 15718.38471875
transcript.pyannote[2687].speaker SPEAKER_31
transcript.pyannote[2687].start 15707.17971875
transcript.pyannote[2687].end 15707.48346875
transcript.pyannote[2688].speaker SPEAKER_31
transcript.pyannote[2688].start 15708.47909375
transcript.pyannote[2688].end 15709.22159375
transcript.pyannote[2689].speaker SPEAKER_31
transcript.pyannote[2689].start 15710.77409375
transcript.pyannote[2689].end 15711.01034375
transcript.pyannote[2690].speaker SPEAKER_24
transcript.pyannote[2690].start 15715.36409375
transcript.pyannote[2690].end 15720.29159375
transcript.pyannote[2691].speaker SPEAKER_22
transcript.pyannote[2691].start 15719.39721875
transcript.pyannote[2691].end 15719.48159375
transcript.pyannote[2692].speaker SPEAKER_22
transcript.pyannote[2692].start 15719.73471875
transcript.pyannote[2692].end 15728.50971875
transcript.pyannote[2693].speaker SPEAKER_28
transcript.pyannote[2693].start 15720.29159375
transcript.pyannote[2693].end 15720.96659375
transcript.pyannote[2694].speaker SPEAKER_24
transcript.pyannote[2694].start 15720.96659375
transcript.pyannote[2694].end 15722.67096875
transcript.pyannote[2695].speaker SPEAKER_28
transcript.pyannote[2695].start 15722.67096875
transcript.pyannote[2695].end 15722.80596875
transcript.pyannote[2696].speaker SPEAKER_24
transcript.pyannote[2696].start 15722.80596875
transcript.pyannote[2696].end 15723.29534375
transcript.pyannote[2697].speaker SPEAKER_14
transcript.pyannote[2697].start 15723.29534375
transcript.pyannote[2697].end 15724.15596875
transcript.pyannote[2698].speaker SPEAKER_28
transcript.pyannote[2698].start 15724.15596875
transcript.pyannote[2698].end 15724.17284375
transcript.pyannote[2699].speaker SPEAKER_18
transcript.pyannote[2699].start 15733.96034375
transcript.pyannote[2699].end 15735.12471875
transcript.pyannote[2700].speaker SPEAKER_18
transcript.pyannote[2700].start 15735.66471875
transcript.pyannote[2700].end 15736.12034375
transcript.pyannote[2701].speaker SPEAKER_18
transcript.pyannote[2701].start 15736.91346875
transcript.pyannote[2701].end 15737.87534375
transcript.pyannote[2702].speaker SPEAKER_27
transcript.pyannote[2702].start 15742.48221875
transcript.pyannote[2702].end 15742.58346875
transcript.pyannote[2703].speaker SPEAKER_18
transcript.pyannote[2703].start 15742.58346875
transcript.pyannote[2703].end 15742.60034375
transcript.pyannote[2704].speaker SPEAKER_27
transcript.pyannote[2704].start 15742.60034375
transcript.pyannote[2704].end 15743.25846875
transcript.pyannote[2705].speaker SPEAKER_18
transcript.pyannote[2705].start 15743.78159375
transcript.pyannote[2705].end 15759.20534375
transcript.pyannote[2706].speaker SPEAKER_18
transcript.pyannote[2706].start 15759.77909375
transcript.pyannote[2706].end 15764.01471875
transcript.pyannote[2707].speaker SPEAKER_18
transcript.pyannote[2707].start 15764.48721875
transcript.pyannote[2707].end 15768.73971875
transcript.pyannote[2708].speaker SPEAKER_18
transcript.pyannote[2708].start 15769.17846875
transcript.pyannote[2708].end 15772.48596875
transcript.pyannote[2709].speaker SPEAKER_18
transcript.pyannote[2709].start 15772.89096875
transcript.pyannote[2709].end 15775.69221875
transcript.pyannote[2710].speaker SPEAKER_18
transcript.pyannote[2710].start 15776.11409375
transcript.pyannote[2710].end 15777.09284375
transcript.pyannote[2711].speaker SPEAKER_18
transcript.pyannote[2711].start 15778.02096875
transcript.pyannote[2711].end 15778.72971875
transcript.pyannote[2712].speaker SPEAKER_18
transcript.pyannote[2712].start 15779.47221875
transcript.pyannote[2712].end 15779.92784375
transcript.pyannote[2713].speaker SPEAKER_18
transcript.pyannote[2713].start 15780.31596875
transcript.pyannote[2713].end 15784.06221875
transcript.pyannote[2714].speaker SPEAKER_18
transcript.pyannote[2714].start 15784.80471875
transcript.pyannote[2714].end 15788.51721875
transcript.pyannote[2715].speaker SPEAKER_18
transcript.pyannote[2715].start 15788.71971875
transcript.pyannote[2715].end 15789.52971875
transcript.pyannote[2716].speaker SPEAKER_18
transcript.pyannote[2716].start 15789.93471875
transcript.pyannote[2716].end 15792.02721875
transcript.pyannote[2717].speaker SPEAKER_18
transcript.pyannote[2717].start 15792.78659375
transcript.pyannote[2717].end 15793.59659375
transcript.pyannote[2718].speaker SPEAKER_18
transcript.pyannote[2718].start 15793.84971875
transcript.pyannote[2718].end 15794.91284375
transcript.pyannote[2719].speaker SPEAKER_18
transcript.pyannote[2719].start 15795.58784375
transcript.pyannote[2719].end 15797.69721875
transcript.pyannote[2720].speaker SPEAKER_18
transcript.pyannote[2720].start 15797.89971875
transcript.pyannote[2720].end 15799.41846875
transcript.pyannote[2721].speaker SPEAKER_18
transcript.pyannote[2721].start 15799.67159375
transcript.pyannote[2721].end 15802.33784375
transcript.pyannote[2722].speaker SPEAKER_18
transcript.pyannote[2722].start 15802.54034375
transcript.pyannote[2722].end 15804.26159375
transcript.pyannote[2723].speaker SPEAKER_24
transcript.pyannote[2723].start 15806.60721875
transcript.pyannote[2723].end 15832.05471875
transcript.pyannote[2724].speaker SPEAKER_28
transcript.pyannote[2724].start 15811.23096875
transcript.pyannote[2724].end 15812.74971875
transcript.pyannote[2725].speaker SPEAKER_18
transcript.pyannote[2725].start 15831.59909375
transcript.pyannote[2725].end 15835.88534375
transcript.pyannote[2726].speaker SPEAKER_24
transcript.pyannote[2726].start 15832.22346875
transcript.pyannote[2726].end 15832.62846875
transcript.pyannote[2727].speaker SPEAKER_24
transcript.pyannote[2727].start 15836.18909375
transcript.pyannote[2727].end 15838.41659375
transcript.pyannote[2728].speaker SPEAKER_18
transcript.pyannote[2728].start 15837.77534375
transcript.pyannote[2728].end 15839.51346875
transcript.pyannote[2729].speaker SPEAKER_24
transcript.pyannote[2729].start 15839.51346875
transcript.pyannote[2729].end 15855.67971875
transcript.pyannote[2730].speaker SPEAKER_18
transcript.pyannote[2730].start 15845.40284375
transcript.pyannote[2730].end 15845.77409375
transcript.pyannote[2731].speaker SPEAKER_27
transcript.pyannote[2731].start 15845.77409375
transcript.pyannote[2731].end 15846.49971875
transcript.pyannote[2732].speaker SPEAKER_18
transcript.pyannote[2732].start 15846.49971875
transcript.pyannote[2732].end 15846.55034375
transcript.pyannote[2733].speaker SPEAKER_18
transcript.pyannote[2733].start 15854.63346875
transcript.pyannote[2733].end 15868.36971875
transcript.pyannote[2734].speaker SPEAKER_24
transcript.pyannote[2734].start 15857.36721875
transcript.pyannote[2734].end 15857.80596875
transcript.pyannote[2735].speaker SPEAKER_00
transcript.pyannote[2735].start 15865.87221875
transcript.pyannote[2735].end 15866.09159375
transcript.pyannote[2736].speaker SPEAKER_09
transcript.pyannote[2736].start 15866.09159375
transcript.pyannote[2736].end 15866.36159375
transcript.pyannote[2737].speaker SPEAKER_28
transcript.pyannote[2737].start 15866.36159375
transcript.pyannote[2737].end 15866.42909375
transcript.pyannote[2738].speaker SPEAKER_00
transcript.pyannote[2738].start 15866.42909375
transcript.pyannote[2738].end 15866.51346875
transcript.pyannote[2739].speaker SPEAKER_18
transcript.pyannote[2739].start 15868.40346875
transcript.pyannote[2739].end 15870.61409375
transcript.pyannote[2740].speaker SPEAKER_18
transcript.pyannote[2740].start 15870.91784375
transcript.pyannote[2740].end 15875.84534375
transcript.pyannote[2741].speaker SPEAKER_24
transcript.pyannote[2741].start 15875.84534375
transcript.pyannote[2741].end 15894.45846875
transcript.pyannote[2742].speaker SPEAKER_18
transcript.pyannote[2742].start 15894.37409375
transcript.pyannote[2742].end 15895.87596875
transcript.pyannote[2743].speaker SPEAKER_18
transcript.pyannote[2743].start 15896.04471875
transcript.pyannote[2743].end 15904.90409375
transcript.pyannote[2744].speaker SPEAKER_18
transcript.pyannote[2744].start 15905.14034375
transcript.pyannote[2744].end 15911.21534375
transcript.pyannote[2745].speaker SPEAKER_24
transcript.pyannote[2745].start 15911.21534375
transcript.pyannote[2745].end 15913.37534375
transcript.pyannote[2746].speaker SPEAKER_18
transcript.pyannote[2746].start 15913.07159375
transcript.pyannote[2746].end 15919.73721875
transcript.pyannote[2747].speaker SPEAKER_24
transcript.pyannote[2747].start 15919.82159375
transcript.pyannote[2747].end 15931.88721875
transcript.pyannote[2748].speaker SPEAKER_18
transcript.pyannote[2748].start 15926.63909375
transcript.pyannote[2748].end 15927.16221875
transcript.pyannote[2749].speaker SPEAKER_18
transcript.pyannote[2749].start 15932.17409375
transcript.pyannote[2749].end 15945.48846875
transcript.pyannote[2750].speaker SPEAKER_08
transcript.pyannote[2750].start 15945.89346875
transcript.pyannote[2750].end 15946.18034375
transcript.pyannote[2751].speaker SPEAKER_18
transcript.pyannote[2751].start 15946.18034375
transcript.pyannote[2751].end 15948.22221875
transcript.pyannote[2752].speaker SPEAKER_08
transcript.pyannote[2752].start 15946.21409375
transcript.pyannote[2752].end 15947.59784375
transcript.pyannote[2753].speaker SPEAKER_18
transcript.pyannote[2753].start 15948.59346875
transcript.pyannote[2753].end 15951.91784375
transcript.pyannote[2754].speaker SPEAKER_18
transcript.pyannote[2754].start 15951.98534375
transcript.pyannote[2754].end 15952.00221875
transcript.pyannote[2755].speaker SPEAKER_27
transcript.pyannote[2755].start 15952.00221875
transcript.pyannote[2755].end 15952.91346875
transcript.pyannote[2756].speaker SPEAKER_18
transcript.pyannote[2756].start 15952.91346875
transcript.pyannote[2756].end 15954.90471875
transcript.pyannote[2757].speaker SPEAKER_18
transcript.pyannote[2757].start 15955.20846875
transcript.pyannote[2757].end 15977.50034375
transcript.pyannote[2758].speaker SPEAKER_18
transcript.pyannote[2758].start 15978.19221875
transcript.pyannote[2758].end 15980.50409375
transcript.pyannote[2759].speaker SPEAKER_18
transcript.pyannote[2759].start 15981.95534375
transcript.pyannote[2759].end 15986.96721875
transcript.pyannote[2760].speaker SPEAKER_24
transcript.pyannote[2760].start 15986.96721875
transcript.pyannote[2760].end 15992.14784375
transcript.pyannote[2761].speaker SPEAKER_18
transcript.pyannote[2761].start 15991.21971875
transcript.pyannote[2761].end 15994.64534375
transcript.pyannote[2762].speaker SPEAKER_24
transcript.pyannote[2762].start 15994.64534375
transcript.pyannote[2762].end 16002.25596875
transcript.pyannote[2763].speaker SPEAKER_18
transcript.pyannote[2763].start 16000.46721875
transcript.pyannote[2763].end 16003.23471875
transcript.pyannote[2764].speaker SPEAKER_24
transcript.pyannote[2764].start 16002.27284375
transcript.pyannote[2764].end 16002.39096875
transcript.pyannote[2765].speaker SPEAKER_24
transcript.pyannote[2765].start 16002.44159375
transcript.pyannote[2765].end 16003.42034375
transcript.pyannote[2766].speaker SPEAKER_18
transcript.pyannote[2766].start 16003.42034375
transcript.pyannote[2766].end 16007.70659375
transcript.pyannote[2767].speaker SPEAKER_24
transcript.pyannote[2767].start 16003.45409375
transcript.pyannote[2767].end 16004.28096875
transcript.pyannote[2768].speaker SPEAKER_24
transcript.pyannote[2768].start 16007.70659375
transcript.pyannote[2768].end 16008.93846875
transcript.pyannote[2769].speaker SPEAKER_18
transcript.pyannote[2769].start 16008.49971875
transcript.pyannote[2769].end 16010.42346875
transcript.pyannote[2770].speaker SPEAKER_18
transcript.pyannote[2770].start 16010.84534375
transcript.pyannote[2770].end 16012.19534375
transcript.pyannote[2771].speaker SPEAKER_24
transcript.pyannote[2771].start 16012.19534375
transcript.pyannote[2771].end 16012.22909375
transcript.pyannote[2772].speaker SPEAKER_24
transcript.pyannote[2772].start 16012.51596875
transcript.pyannote[2772].end 16014.99659375
transcript.pyannote[2773].speaker SPEAKER_18
transcript.pyannote[2773].start 16013.73096875
transcript.pyannote[2773].end 16015.09784375
transcript.pyannote[2774].speaker SPEAKER_24
transcript.pyannote[2774].start 16015.09784375
transcript.pyannote[2774].end 16015.11471875
transcript.pyannote[2775].speaker SPEAKER_18
transcript.pyannote[2775].start 16015.11471875
transcript.pyannote[2775].end 16015.45221875
transcript.pyannote[2776].speaker SPEAKER_24
transcript.pyannote[2776].start 16015.45221875
transcript.pyannote[2776].end 16018.60784375
transcript.pyannote[2777].speaker SPEAKER_18
transcript.pyannote[2777].start 16018.27034375
transcript.pyannote[2777].end 16019.97471875
transcript.pyannote[2778].speaker SPEAKER_24
transcript.pyannote[2778].start 16019.77221875
transcript.pyannote[2778].end 16034.75721875
transcript.pyannote[2779].speaker SPEAKER_18
transcript.pyannote[2779].start 16033.77846875
transcript.pyannote[2779].end 16036.10721875
transcript.pyannote[2780].speaker SPEAKER_18
transcript.pyannote[2780].start 16037.11971875
transcript.pyannote[2780].end 16043.97096875
transcript.pyannote[2781].speaker SPEAKER_24
transcript.pyannote[2781].start 16043.97096875
transcript.pyannote[2781].end 16046.51909375
transcript.pyannote[2782].speaker SPEAKER_18
transcript.pyannote[2782].start 16045.84409375
transcript.pyannote[2782].end 16050.13034375
transcript.pyannote[2783].speaker SPEAKER_27
transcript.pyannote[2783].start 16046.51909375
transcript.pyannote[2783].end 16046.53596875
transcript.pyannote[2784].speaker SPEAKER_24
transcript.pyannote[2784].start 16050.13034375
transcript.pyannote[2784].end 16050.14721875
transcript.pyannote[2785].speaker SPEAKER_18
transcript.pyannote[2785].start 16050.14721875
transcript.pyannote[2785].end 16050.21471875
transcript.pyannote[2786].speaker SPEAKER_24
transcript.pyannote[2786].start 16050.21471875
transcript.pyannote[2786].end 16050.36659375
transcript.pyannote[2787].speaker SPEAKER_18
transcript.pyannote[2787].start 16050.36659375
transcript.pyannote[2787].end 16050.45096875
transcript.pyannote[2788].speaker SPEAKER_24
transcript.pyannote[2788].start 16050.45096875
transcript.pyannote[2788].end 16050.50159375
transcript.pyannote[2789].speaker SPEAKER_18
transcript.pyannote[2789].start 16050.50159375
transcript.pyannote[2789].end 16050.88971875
transcript.pyannote[2790].speaker SPEAKER_24
transcript.pyannote[2790].start 16050.88971875
transcript.pyannote[2790].end 16065.52034375
transcript.pyannote[2791].speaker SPEAKER_18
transcript.pyannote[2791].start 16052.10471875
transcript.pyannote[2791].end 16052.13846875
transcript.pyannote[2792].speaker SPEAKER_28
transcript.pyannote[2792].start 16052.13846875
transcript.pyannote[2792].end 16052.66159375
transcript.pyannote[2793].speaker SPEAKER_18
transcript.pyannote[2793].start 16052.66159375
transcript.pyannote[2793].end 16052.74596875
transcript.pyannote[2794].speaker SPEAKER_18
transcript.pyannote[2794].start 16058.38221875
transcript.pyannote[2794].end 16058.53409375
transcript.pyannote[2795].speaker SPEAKER_18
transcript.pyannote[2795].start 16063.96784375
transcript.pyannote[2795].end 16067.96721875
transcript.pyannote[2796].speaker SPEAKER_24
transcript.pyannote[2796].start 16066.14471875
transcript.pyannote[2796].end 16068.32159375
transcript.pyannote[2797].speaker SPEAKER_34
transcript.pyannote[2797].start 16067.96721875
transcript.pyannote[2797].end 16068.45659375
transcript.pyannote[2798].speaker SPEAKER_24
transcript.pyannote[2798].start 16068.69284375
transcript.pyannote[2798].end 16069.35096875
transcript.pyannote[2799].speaker SPEAKER_24
transcript.pyannote[2799].start 16069.51971875
transcript.pyannote[2799].end 16079.25659375
transcript.pyannote[2800].speaker SPEAKER_18
transcript.pyannote[2800].start 16079.44221875
transcript.pyannote[2800].end 16084.65659375
transcript.pyannote[2801].speaker SPEAKER_18
transcript.pyannote[2801].start 16084.90971875
transcript.pyannote[2801].end 16086.12471875
transcript.pyannote[2802].speaker SPEAKER_18
transcript.pyannote[2802].start 16086.49596875
transcript.pyannote[2802].end 16088.38596875
transcript.pyannote[2803].speaker SPEAKER_18
transcript.pyannote[2803].start 16089.11159375
transcript.pyannote[2803].end 16093.02659375
transcript.pyannote[2804].speaker SPEAKER_24
transcript.pyannote[2804].start 16091.33909375
transcript.pyannote[2804].end 16091.84534375
transcript.pyannote[2805].speaker SPEAKER_24
transcript.pyannote[2805].start 16093.02659375
transcript.pyannote[2805].end 16109.71596875
transcript.pyannote[2806].speaker SPEAKER_18
transcript.pyannote[2806].start 16109.17596875
transcript.pyannote[2806].end 16119.35159375
transcript.pyannote[2807].speaker SPEAKER_24
transcript.pyannote[2807].start 16116.78659375
transcript.pyannote[2807].end 16117.20846875
transcript.pyannote[2808].speaker SPEAKER_24
transcript.pyannote[2808].start 16118.42346875
transcript.pyannote[2808].end 16118.82846875
transcript.pyannote[2809].speaker SPEAKER_24
transcript.pyannote[2809].start 16119.35159375
transcript.pyannote[2809].end 16121.76471875
transcript.pyannote[2810].speaker SPEAKER_22
transcript.pyannote[2810].start 16122.03471875
transcript.pyannote[2810].end 16136.54721875
transcript.pyannote[2811].speaker SPEAKER_22
transcript.pyannote[2811].start 16136.88471875
transcript.pyannote[2811].end 16142.63909375
transcript.pyannote[2812].speaker SPEAKER_22
transcript.pyannote[2812].start 16142.75721875
transcript.pyannote[2812].end 16148.49471875
transcript.pyannote[2813].speaker SPEAKER_22
transcript.pyannote[2813].start 16148.73096875
transcript.pyannote[2813].end 16154.21534375
transcript.pyannote[2814].speaker SPEAKER_22
transcript.pyannote[2814].start 16154.40096875
transcript.pyannote[2814].end 16157.37096875
transcript.pyannote[2815].speaker SPEAKER_22
transcript.pyannote[2815].start 16157.53971875
transcript.pyannote[2815].end 16163.41221875
transcript.pyannote[2816].speaker SPEAKER_22
transcript.pyannote[2816].start 16163.69909375
transcript.pyannote[2816].end 16166.58471875
transcript.pyannote[2817].speaker SPEAKER_22
transcript.pyannote[2817].start 16166.87159375
transcript.pyannote[2817].end 16173.45284375
transcript.pyannote[2818].speaker SPEAKER_22
transcript.pyannote[2818].start 16173.65534375
transcript.pyannote[2818].end 16180.01721875
transcript.pyannote[2819].speaker SPEAKER_05
transcript.pyannote[2819].start 16187.50971875
transcript.pyannote[2819].end 16189.41659375
transcript.pyannote[2820].speaker SPEAKER_05
transcript.pyannote[2820].start 16190.02409375
transcript.pyannote[2820].end 16191.44159375
transcript.pyannote[2821].speaker SPEAKER_22
transcript.pyannote[2821].start 16191.44159375
transcript.pyannote[2821].end 16192.08284375
transcript.pyannote[2822].speaker SPEAKER_05
transcript.pyannote[2822].start 16193.16284375
transcript.pyannote[2822].end 16193.88846875
transcript.pyannote[2823].speaker SPEAKER_24
transcript.pyannote[2823].start 16196.63909375
transcript.pyannote[2823].end 16197.24659375
transcript.pyannote[2824].speaker SPEAKER_05
transcript.pyannote[2824].start 16197.33096875
transcript.pyannote[2824].end 16197.83721875
transcript.pyannote[2825].speaker SPEAKER_05
transcript.pyannote[2825].start 16198.10721875
transcript.pyannote[2825].end 16199.69346875
transcript.pyannote[2826].speaker SPEAKER_24
transcript.pyannote[2826].start 16199.69346875
transcript.pyannote[2826].end 16199.79471875
transcript.pyannote[2827].speaker SPEAKER_05
transcript.pyannote[2827].start 16199.79471875
transcript.pyannote[2827].end 16199.81159375
transcript.pyannote[2828].speaker SPEAKER_05
transcript.pyannote[2828].start 16200.09846875
transcript.pyannote[2828].end 16201.34721875
transcript.pyannote[2829].speaker SPEAKER_05
transcript.pyannote[2829].start 16201.78596875
transcript.pyannote[2829].end 16202.35971875
transcript.pyannote[2830].speaker SPEAKER_05
transcript.pyannote[2830].start 16202.56221875
transcript.pyannote[2830].end 16203.54096875
transcript.pyannote[2831].speaker SPEAKER_05
transcript.pyannote[2831].start 16204.18221875
transcript.pyannote[2831].end 16207.75971875
transcript.pyannote[2832].speaker SPEAKER_05
transcript.pyannote[2832].start 16207.81034375
transcript.pyannote[2832].end 16208.82284375
transcript.pyannote[2833].speaker SPEAKER_05
transcript.pyannote[2833].start 16209.51471875
transcript.pyannote[2833].end 16212.67034375
transcript.pyannote[2834].speaker SPEAKER_05
transcript.pyannote[2834].start 16213.17659375
transcript.pyannote[2834].end 16216.78784375
transcript.pyannote[2835].speaker SPEAKER_05
transcript.pyannote[2835].start 16217.17596875
transcript.pyannote[2835].end 16219.52159375
transcript.pyannote[2836].speaker SPEAKER_05
transcript.pyannote[2836].start 16219.67346875
transcript.pyannote[2836].end 16221.10784375
transcript.pyannote[2837].speaker SPEAKER_05
transcript.pyannote[2837].start 16221.56346875
transcript.pyannote[2837].end 16228.81971875
transcript.pyannote[2838].speaker SPEAKER_05
transcript.pyannote[2838].start 16229.39346875
transcript.pyannote[2838].end 16230.54096875
transcript.pyannote[2839].speaker SPEAKER_05
transcript.pyannote[2839].start 16231.04721875
transcript.pyannote[2839].end 16234.82721875
transcript.pyannote[2840].speaker SPEAKER_05
transcript.pyannote[2840].start 16235.01284375
transcript.pyannote[2840].end 16235.73846875
transcript.pyannote[2841].speaker SPEAKER_05
transcript.pyannote[2841].start 16236.64971875
transcript.pyannote[2841].end 16238.92784375
transcript.pyannote[2842].speaker SPEAKER_05
transcript.pyannote[2842].start 16239.46784375
transcript.pyannote[2842].end 16241.05409375
transcript.pyannote[2843].speaker SPEAKER_05
transcript.pyannote[2843].start 16241.52659375
transcript.pyannote[2843].end 16247.95596875
transcript.pyannote[2844].speaker SPEAKER_05
transcript.pyannote[2844].start 16248.88409375
transcript.pyannote[2844].end 16249.62659375
transcript.pyannote[2845].speaker SPEAKER_05
transcript.pyannote[2845].start 16250.53784375
transcript.pyannote[2845].end 16254.28409375
transcript.pyannote[2846].speaker SPEAKER_05
transcript.pyannote[2846].start 16254.97596875
transcript.pyannote[2846].end 16256.39346875
transcript.pyannote[2847].speaker SPEAKER_05
transcript.pyannote[2847].start 16257.22034375
transcript.pyannote[2847].end 16258.65471875
transcript.pyannote[2848].speaker SPEAKER_05
transcript.pyannote[2848].start 16259.38034375
transcript.pyannote[2848].end 16261.57409375
transcript.pyannote[2849].speaker SPEAKER_05
transcript.pyannote[2849].start 16261.87784375
transcript.pyannote[2849].end 16263.81846875
transcript.pyannote[2850].speaker SPEAKER_05
transcript.pyannote[2850].start 16264.96596875
transcript.pyannote[2850].end 16267.36221875
transcript.pyannote[2851].speaker SPEAKER_05
transcript.pyannote[2851].start 16268.27346875
transcript.pyannote[2851].end 16269.62346875
transcript.pyannote[2852].speaker SPEAKER_05
transcript.pyannote[2852].start 16270.72034375
transcript.pyannote[2852].end 16271.68221875
transcript.pyannote[2853].speaker SPEAKER_05
transcript.pyannote[2853].start 16272.91409375
transcript.pyannote[2853].end 16275.56346875
transcript.pyannote[2854].speaker SPEAKER_05
transcript.pyannote[2854].start 16275.81659375
transcript.pyannote[2854].end 16290.16034375
transcript.pyannote[2855].speaker SPEAKER_05
transcript.pyannote[2855].start 16290.81846875
transcript.pyannote[2855].end 16295.07096875
transcript.pyannote[2856].speaker SPEAKER_05
transcript.pyannote[2856].start 16295.61096875
transcript.pyannote[2856].end 16296.23534375
transcript.pyannote[2857].speaker SPEAKER_05
transcript.pyannote[2857].start 16297.09596875
transcript.pyannote[2857].end 16298.59784375
transcript.pyannote[2858].speaker SPEAKER_05
transcript.pyannote[2858].start 16299.28971875
transcript.pyannote[2858].end 16300.92659375
transcript.pyannote[2859].speaker SPEAKER_05
transcript.pyannote[2859].start 16301.56784375
transcript.pyannote[2859].end 16302.58034375
transcript.pyannote[2860].speaker SPEAKER_05
transcript.pyannote[2860].start 16303.35659375
transcript.pyannote[2860].end 16315.92846875
transcript.pyannote[2861].speaker SPEAKER_05
transcript.pyannote[2861].start 16316.50221875
transcript.pyannote[2861].end 16319.59034375
transcript.pyannote[2862].speaker SPEAKER_05
transcript.pyannote[2862].start 16319.79284375
transcript.pyannote[2862].end 16320.87284375
transcript.pyannote[2863].speaker SPEAKER_05
transcript.pyannote[2863].start 16321.54784375
transcript.pyannote[2863].end 16323.03284375
transcript.pyannote[2864].speaker SPEAKER_05
transcript.pyannote[2864].start 16324.31534375
transcript.pyannote[2864].end 16324.51784375
transcript.pyannote[2865].speaker SPEAKER_05
transcript.pyannote[2865].start 16324.90596875
transcript.pyannote[2865].end 16327.92659375
transcript.pyannote[2866].speaker SPEAKER_05
transcript.pyannote[2866].start 16328.78721875
transcript.pyannote[2866].end 16330.33971875
transcript.pyannote[2867].speaker SPEAKER_05
transcript.pyannote[2867].start 16330.89659375
transcript.pyannote[2867].end 16344.63284375
transcript.pyannote[2868].speaker SPEAKER_05
transcript.pyannote[2868].start 16345.27409375
transcript.pyannote[2868].end 16349.47596875
transcript.pyannote[2869].speaker SPEAKER_05
transcript.pyannote[2869].start 16350.08346875
transcript.pyannote[2869].end 16351.88909375
transcript.pyannote[2870].speaker SPEAKER_05
transcript.pyannote[2870].start 16352.17596875
transcript.pyannote[2870].end 16354.45409375
transcript.pyannote[2871].speaker SPEAKER_05
transcript.pyannote[2871].start 16355.17971875
transcript.pyannote[2871].end 16357.23846875
transcript.pyannote[2872].speaker SPEAKER_05
transcript.pyannote[2872].start 16357.66034375
transcript.pyannote[2872].end 16358.75721875
transcript.pyannote[2873].speaker SPEAKER_05
transcript.pyannote[2873].start 16358.95971875
transcript.pyannote[2873].end 16361.25471875
transcript.pyannote[2874].speaker SPEAKER_05
transcript.pyannote[2874].start 16362.38534375
transcript.pyannote[2874].end 16364.20784375
transcript.pyannote[2875].speaker SPEAKER_05
transcript.pyannote[2875].start 16364.37659375
transcript.pyannote[2875].end 16366.24971875
transcript.pyannote[2876].speaker SPEAKER_05
transcript.pyannote[2876].start 16367.07659375
transcript.pyannote[2876].end 16372.17284375
transcript.pyannote[2877].speaker SPEAKER_05
transcript.pyannote[2877].start 16372.44284375
transcript.pyannote[2877].end 16378.11284375
transcript.pyannote[2878].speaker SPEAKER_05
transcript.pyannote[2878].start 16378.82159375
transcript.pyannote[2878].end 16384.93034375
transcript.pyannote[2879].speaker SPEAKER_05
transcript.pyannote[2879].start 16385.40284375
transcript.pyannote[2879].end 16386.06096875
transcript.pyannote[2880].speaker SPEAKER_05
transcript.pyannote[2880].start 16386.44909375
transcript.pyannote[2880].end 16387.78221875
transcript.pyannote[2881].speaker SPEAKER_05
transcript.pyannote[2881].start 16388.37284375
transcript.pyannote[2881].end 16389.50346875
transcript.pyannote[2882].speaker SPEAKER_05
transcript.pyannote[2882].start 16390.60034375
transcript.pyannote[2882].end 16392.01784375
transcript.pyannote[2883].speaker SPEAKER_05
transcript.pyannote[2883].start 16392.64221875
transcript.pyannote[2883].end 16394.53221875
transcript.pyannote[2884].speaker SPEAKER_05
transcript.pyannote[2884].start 16395.15659375
transcript.pyannote[2884].end 16395.69659375
transcript.pyannote[2885].speaker SPEAKER_05
transcript.pyannote[2885].start 16396.03409375
transcript.pyannote[2885].end 16396.79346875
transcript.pyannote[2886].speaker SPEAKER_05
transcript.pyannote[2886].start 16397.95784375
transcript.pyannote[2886].end 16398.61596875
transcript.pyannote[2887].speaker SPEAKER_05
transcript.pyannote[2887].start 16400.96159375
transcript.pyannote[2887].end 16402.68284375
transcript.pyannote[2888].speaker SPEAKER_05
transcript.pyannote[2888].start 16402.85159375
transcript.pyannote[2888].end 16403.98221875
transcript.pyannote[2889].speaker SPEAKER_05
transcript.pyannote[2889].start 16404.23534375
transcript.pyannote[2889].end 16405.97346875
transcript.pyannote[2890].speaker SPEAKER_05
transcript.pyannote[2890].start 16406.90159375
transcript.pyannote[2890].end 16414.86659375
transcript.pyannote[2891].speaker SPEAKER_05
transcript.pyannote[2891].start 16415.50784375
transcript.pyannote[2891].end 16417.22909375
transcript.pyannote[2892].speaker SPEAKER_05
transcript.pyannote[2892].start 16418.29221875
transcript.pyannote[2892].end 16418.73096875
transcript.pyannote[2893].speaker SPEAKER_05
transcript.pyannote[2893].start 16418.93346875
transcript.pyannote[2893].end 16428.40034375
transcript.pyannote[2894].speaker SPEAKER_05
transcript.pyannote[2894].start 16428.75471875
transcript.pyannote[2894].end 16429.68284375
transcript.pyannote[2895].speaker SPEAKER_24
transcript.pyannote[2895].start 16430.30721875
transcript.pyannote[2895].end 16447.14846875
transcript.pyannote[2896].speaker SPEAKER_24
transcript.pyannote[2896].start 16447.60409375
transcript.pyannote[2896].end 16463.38221875
transcript.pyannote[2897].speaker SPEAKER_24
transcript.pyannote[2897].start 16463.50034375
transcript.pyannote[2897].end 16494.75284375
transcript.pyannote[2898].speaker SPEAKER_05
transcript.pyannote[2898].start 16492.94721875
transcript.pyannote[2898].end 16498.22909375
transcript.pyannote[2899].speaker SPEAKER_05
transcript.pyannote[2899].start 16498.54971875
transcript.pyannote[2899].end 16501.45221875
transcript.pyannote[2900].speaker SPEAKER_05
transcript.pyannote[2900].start 16501.67159375
transcript.pyannote[2900].end 16504.18596875
transcript.pyannote[2901].speaker SPEAKER_05
transcript.pyannote[2901].start 16504.33784375
transcript.pyannote[2901].end 16504.91159375
transcript.pyannote[2902].speaker SPEAKER_05
transcript.pyannote[2902].start 16505.16471875
transcript.pyannote[2902].end 16505.62034375
transcript.pyannote[2903].speaker SPEAKER_05
transcript.pyannote[2903].start 16505.82284375
transcript.pyannote[2903].end 16508.62409375
transcript.pyannote[2904].speaker SPEAKER_13
transcript.pyannote[2904].start 16508.35409375
transcript.pyannote[2904].end 16508.92784375
transcript.pyannote[2905].speaker SPEAKER_05
transcript.pyannote[2905].start 16509.09659375
transcript.pyannote[2905].end 16511.69534375
transcript.pyannote[2906].speaker SPEAKER_05
transcript.pyannote[2906].start 16511.94846875
transcript.pyannote[2906].end 16515.20534375
transcript.pyannote[2907].speaker SPEAKER_05
transcript.pyannote[2907].start 16515.42471875
transcript.pyannote[2907].end 16518.27659375
transcript.pyannote[2908].speaker SPEAKER_05
transcript.pyannote[2908].start 16518.64784375
transcript.pyannote[2908].end 16520.09909375
transcript.pyannote[2909].speaker SPEAKER_05
transcript.pyannote[2909].start 16520.45346875
transcript.pyannote[2909].end 16521.12846875
transcript.pyannote[2910].speaker SPEAKER_05
transcript.pyannote[2910].start 16521.76971875
transcript.pyannote[2910].end 16522.44471875
transcript.pyannote[2911].speaker SPEAKER_05
transcript.pyannote[2911].start 16522.68096875
transcript.pyannote[2911].end 16527.08534375
transcript.pyannote[2912].speaker SPEAKER_05
transcript.pyannote[2912].start 16527.64221875
transcript.pyannote[2912].end 16533.58221875
transcript.pyannote[2913].speaker SPEAKER_05
transcript.pyannote[2913].start 16533.83534375
transcript.pyannote[2913].end 16535.37096875
transcript.pyannote[2914].speaker SPEAKER_05
transcript.pyannote[2914].start 16535.75909375
transcript.pyannote[2914].end 16537.51409375
transcript.pyannote[2915].speaker SPEAKER_05
transcript.pyannote[2915].start 16538.25659375
transcript.pyannote[2915].end 16539.40409375
transcript.pyannote[2916].speaker SPEAKER_05
transcript.pyannote[2916].start 16540.23096875
transcript.pyannote[2916].end 16557.00471875
transcript.pyannote[2917].speaker SPEAKER_27
transcript.pyannote[2917].start 16551.67221875
transcript.pyannote[2917].end 16555.14846875
transcript.pyannote[2918].speaker SPEAKER_00
transcript.pyannote[2918].start 16555.14846875
transcript.pyannote[2918].end 16555.18221875
transcript.pyannote[2919].speaker SPEAKER_05
transcript.pyannote[2919].start 16557.35909375
transcript.pyannote[2919].end 16566.16784375
transcript.pyannote[2920].speaker SPEAKER_05
transcript.pyannote[2920].start 16566.62346875
transcript.pyannote[2920].end 16570.72409375
transcript.pyannote[2921].speaker SPEAKER_05
transcript.pyannote[2921].start 16571.50034375
transcript.pyannote[2921].end 16577.15346875
transcript.pyannote[2922].speaker SPEAKER_05
transcript.pyannote[2922].start 16577.44034375
transcript.pyannote[2922].end 16583.59971875
transcript.pyannote[2923].speaker SPEAKER_05
transcript.pyannote[2923].start 16584.52784375
transcript.pyannote[2923].end 16623.35721875
transcript.pyannote[2924].speaker SPEAKER_05
transcript.pyannote[2924].start 16623.74534375
transcript.pyannote[2924].end 16632.41909375
transcript.pyannote[2925].speaker SPEAKER_05
transcript.pyannote[2925].start 16633.12784375
transcript.pyannote[2925].end 16637.76846875
transcript.pyannote[2926].speaker SPEAKER_05
transcript.pyannote[2926].start 16638.13971875
transcript.pyannote[2926].end 16639.06784375
transcript.pyannote[2927].speaker SPEAKER_05
transcript.pyannote[2927].start 16639.48971875
transcript.pyannote[2927].end 16639.97909375
transcript.pyannote[2928].speaker SPEAKER_05
transcript.pyannote[2928].start 16640.40096875
transcript.pyannote[2928].end 16641.66659375
transcript.pyannote[2929].speaker SPEAKER_05
transcript.pyannote[2929].start 16641.83534375
transcript.pyannote[2929].end 16642.62846875
transcript.pyannote[2930].speaker SPEAKER_05
transcript.pyannote[2930].start 16642.88159375
transcript.pyannote[2930].end 16652.41596875
transcript.pyannote[2931].speaker SPEAKER_22
transcript.pyannote[2931].start 16650.88034375
transcript.pyannote[2931].end 16650.93096875
transcript.pyannote[2932].speaker SPEAKER_27
transcript.pyannote[2932].start 16650.93096875
transcript.pyannote[2932].end 16651.03221875
transcript.pyannote[2933].speaker SPEAKER_22
transcript.pyannote[2933].start 16651.03221875
transcript.pyannote[2933].end 16651.09971875
transcript.pyannote[2934].speaker SPEAKER_27
transcript.pyannote[2934].start 16651.09971875
transcript.pyannote[2934].end 16651.23471875
transcript.pyannote[2935].speaker SPEAKER_22
transcript.pyannote[2935].start 16651.23471875
transcript.pyannote[2935].end 16651.30221875
transcript.pyannote[2936].speaker SPEAKER_27
transcript.pyannote[2936].start 16651.30221875
transcript.pyannote[2936].end 16651.96034375
transcript.pyannote[2937].speaker SPEAKER_22
transcript.pyannote[2937].start 16651.96034375
transcript.pyannote[2937].end 16655.94284375
transcript.pyannote[2938].speaker SPEAKER_22
transcript.pyannote[2938].start 16658.05221875
transcript.pyannote[2938].end 16663.63784375
transcript.pyannote[2939].speaker SPEAKER_22
transcript.pyannote[2939].start 16663.78971875
transcript.pyannote[2939].end 16670.72534375
transcript.pyannote[2940].speaker SPEAKER_22
transcript.pyannote[2940].start 16671.06284375
transcript.pyannote[2940].end 16677.54284375
transcript.pyannote[2941].speaker SPEAKER_22
transcript.pyannote[2941].start 16677.89721875
transcript.pyannote[2941].end 16684.29284375
transcript.pyannote[2942].speaker SPEAKER_29
transcript.pyannote[2942].start 16699.48034375
transcript.pyannote[2942].end 16700.84721875
transcript.whisperx[0].start 1714.574
transcript.whisperx[0].end 1725.867
transcript.whisperx[0].text 我們現在開會請主任秘書報告出席人數報告委員會出席委員13人以主法定人數我們現在開會進行報告事項請宣讀上一次的會議議事錄
transcript.whisperx[1].start 1728.43
transcript.whisperx[1].end 1756.205
transcript.whisperx[1].text 立法院第11屆第1會期內政委員會第6次全體委員會議議事錄時間113年3月13日星期三上午9時1分至12時48分地點紅樓202會議室出席委員蔓玉珍委員等11人列席委員羅志強委員等17人請假委員李博義委員等3人列席官員海洋委員會主任委員管碧玲及相關人員農業部漁業署署長張志聖及相關人員主席吳釗棋委員齊銘
transcript.whisperx[2].start 1758.286
transcript.whisperx[2].end 1774.971
transcript.whisperx[2].text 報告事項一宣讀上次會議議事錄決定確定二處理113年度中央政府總預算有關海洋委員會及所屬預算凍結書面報告案及二案一海洋委員會含為113年度中央政府總預算決議檢送該會決議一海洋業務運算凍結50萬元書面報告請查照案二海洋委員會含為113年度中央政府總預算決議
transcript.whisperx[3].start 1781.713
transcript.whisperx[3].end 1803.275
transcript.whisperx[3].text 解送海洋保育署決議因海洋保育業務預算凍結50萬元書面報告請查照案。決定以上二案書面報告均已送達,預算得以動之擬據報告提報院會。3.邀請海洋委員會主任委員率同所屬列席報告業務概況.並備質詢。包括事項與討論事項和並詢答。委員楊瓊英說明提案要指海洋委員會主任委員管碧玲報告。
transcript.whisperx[4].start 1804.156
transcript.whisperx[4].end 1823.713
transcript.whisperx[4].text 委員蔓玉珍等14人質詢.分別由海洋委員會主任委員.管弊鄰居相關人員.及農業部漁業署署長張志聖答覆說明決定一登記發言委員除不在場者外其餘均已發言完畢.詢答結束二委員蘇巧慧.高金素梅丁學忠及陳冠廷等4人所提書面質詢列入記錄看登工報
transcript.whisperx[5].start 1824.554
transcript.whisperx[5].end 1848.394
transcript.whisperx[5].text łec 3 住院質詢及未及答覆部分請相關機關於一周內另以書面答覆並複製本會討論事項一審查海洋委員會涵為113年度中央政府總預算決議檢送海巡署及所屬決議一海巡業務預算凍結50萬元書面報告請查照案決議本案同意動之擬據報告提報院會二海洋保育法草案一審查行政院涵清審議海洋保育法草案
transcript.whisperx[6].start 1848.914
transcript.whisperx[6].end 1866.38
transcript.whisperx[6].text 而審查委員楊瓊英等20人離去海洋保育法草案案。決議海洋保育法草案等二案均另定期繼續審查。條文及修正動議均與宣讀完畢。請問各位委員上一次的會議意思錄有沒有錯誤或者是遺漏的地方?請問一下。
transcript.whisperx[7].start 1870.623
transcript.whisperx[7].end 1885.332
transcript.whisperx[7].text 好那麼如果我們確定的話我們就是意思錄確定繼續進行本日議程報告事項請宣讀邀請內政部部長率同所屬列席報告業務概況並備質詢宣讀完畢好我們現在介紹一下在場的委員我們在場的委員有王美媛委員蘇巧慧委員早黃婕委員
transcript.whisperx[8].start 1901.772
transcript.whisperx[8].end 1928.493
transcript.whisperx[8].text 李博義委員現在我們再繼續介紹一下在場的列席官員今天列席的官員有我們內政部林祐昌部長民政司鄭英宏代理司長護政司陳子和代理司長地政司王全基司長
transcript.whisperx[9].start 1930.848
transcript.whisperx[9].end 1950.04
transcript.whisperx[9].text 合作及人民團體司林福來司長。宗教及理智司林清奇司長。議政司沈哲芳司長。綜合規劃司王明正司長。資訊服務司黃國鈺司長。秘書處施明次處長。人事處林翠玲處長。
transcript.whisperx[10].start 1962.113
transcript.whisperx[10].end 1972.022
transcript.whisperx[10].text 政分處歐建智處長會計處徐守國處長統計處饒智堅處長法治處鄭信偉處長國土管理署吳興修署長陳香芳分署分署長林秉勛
transcript.whisperx[11].start 1991.738
transcript.whisperx[11].end 2009.891
transcript.whisperx[11].text 國家公園署署長陳茂春肯定國家公園管理處處長陳勤龍玉山國家公園管理處處長盧淑飛陽明山國家公園管理處處長楊茉琳泰魯閣國家公園管理處處長楊金珍
transcript.whisperx[12].start 2019.403
transcript.whisperx[12].end 2045.364
transcript.whisperx[12].text 學霸國家公園管理處處長林文和基門國家公園管理處處長鄭瑞昌海洋國家公園管理處處長徐昭良台江國家公園管理處處長謝偉松國家資產公園管理處處長張登文土地重化工程處處長林慶林
transcript.whisperx[13].start 2049.578
transcript.whisperx[13].end 2075.91
transcript.whisperx[13].text 國土策會中心主任鄭采棠建築研究所所長王榮進警政署署長黃明昭督察室主任嚴旺盛刑事警察局副局長黃任聰中央警察大學校長楊元明
transcript.whisperx[14].start 2078.789
transcript.whisperx[14].end 2089.739
transcript.whisperx[14].text 消防署署長 蕭煥章移民署署長 鍾景坤空中勤務總隊總隊長 景延淵
transcript.whisperx[15].start 2094.907
transcript.whisperx[15].end 2096.628
transcript.whisperx[15].text 6分鐘必要的時候延長兩分鐘然後非本會委員
transcript.whisperx[16].start 2117.071
transcript.whisperx[16].end 2144.28
transcript.whisperx[16].text 6分鐘然後上午10點30分我們截止發言登記臨時提案截止提出的時間是10點在本會委員會詢答結束之後我們來處理臨時提案請問各位委員有沒有意見好謝謝委員會現在我們就進行詢答請登記第一位的舒巧慧不好意思還有後面
transcript.whisperx[17].start 2149.148
transcript.whisperx[17].end 2161.615
transcript.whisperx[17].text 好,我們現在請部會來做業務報告我們林部長您大概想要幾分鐘?好,給你五分鐘時間好不好?好,我們給五分鐘部長時間讓他做業務報告
transcript.whisperx[18].start 2170.368
transcript.whisperx[18].end 2184.629
transcript.whisperx[18].text 主席各位委員先進今天曾邀來報告內政部業務概況深感榮幸在各位的桌上有完整的一個書面報告以下請就口頭做重點的一個說明
transcript.whisperx[19].start 2186.601
transcript.whisperx[19].end 2200.339
transcript.whisperx[19].text 我想在疫情之後本部透過專案的方式照顧中低新房貸主並且協助教育部門提供大專院校學生住宿補助等不同的福利措施減輕民眾及青年學子的經濟壓力
transcript.whisperx[20].start 2201.661
transcript.whisperx[20].end 2204.224
transcript.whisperx[20].text 另外與國安團隊針對今年總統副總統以及立委選舉加強安全維護即查獲會選選舉賭盤境外勢力借選網路假訊息等案件總計有937件來確保整個選舉平安平穩平順的完成
transcript.whisperx[21].start 2222.745
transcript.whisperx[21].end 2236.898
transcript.whisperx[21].text 另外面對國際情勢的快速變動本部也廣納各界的一個意見來持續進行各項的政策措施以下僅就三大面向跟各位委員先進來做說明
transcript.whisperx[22].start 2239.249
transcript.whisperx[22].end 2256.615
transcript.whisperx[22].text 首先感謝大院委員先進支持槍砲彈藥刀械管制條例在今年的1月3日修正公佈完備槍砲彈藥管制的措施加重公然開槍刑罰二指非法改造槍枝跑竄
transcript.whisperx[23].start 2258.135
transcript.whisperx[23].end 2272.204
transcript.whisperx[23].text 並且來維護社會的治安此外為了防堵詐欺的犯罪擴大公司協力與民間共同推動金流防護網等各項防詐措施在去年全班詐欺犯罪破獲306,280件
transcript.whisperx[24].start 2275.726
transcript.whisperx[24].end 2300.359
transcript.whisperx[24].text 本部將持續與各部會來合作來全力打擊黑金毒槍炸等等的這些犯罪的樣態來讓國人安心讓民眾安定的生活要為了打擊人口犯疫份子並且強化被害人的保護服務我們在今年1月1日修正通過了人口
transcript.whisperx[25].start 2304.335
transcript.whisperx[25].end 2321.809
transcript.whisperx[25].text 我們通過了人口翻譯防治法此外為防範國人遭誘騙到國外﹐定定的國人與海外遭人口翻譯及其他被害或被迫從事犯罪之反國保護專案工作指引﹐截至今年3月3日為止協處被害的國人總計有356人
transcript.whisperx[26].start 2325.052
transcript.whisperx[26].end 2353.651
transcript.whisperx[26].text 此外另一方面為了提升全社會防疫能力.結合各地方政府警察機關辦理民力多元招募工作.並就協情民力來爭取協情費用.增添裝備等福利另外也在民防的長年訓練中來融入競賽活動.以利推動民防團隊的招募任務在防救災的部分本部為了提升企業重視場區安全及風險管理研修消防法等相關規定
transcript.whisperx[27].start 2355.052
transcript.whisperx[27].end 2379.659
transcript.whisperx[27].text 加強規範業者落實設備維護與安全管理責任及其行則.並精進吹哨者獎勵機制以強化企業自主防災能力此外為了進一步升職企業災害防救的意識結合ESG精神規劃推動職場消防安全SDGS
transcript.whisperx[28].start 2380.899
transcript.whisperx[28].end 2397.049
transcript.whisperx[28].text 接入實務建議指南來協助大型企業將防災、減災、安全事項納入永續報告書引領企業投入防護安全工作以深化企業永續治理的文化
transcript.whisperx[29].start 2399.69
transcript.whisperx[29].end 2416.976
transcript.whisperx[29].text 另外也非常感謝大院委員鼎力支持住宅法.在去年12月6日修正公佈.來鼓勵更多房東投入公寓出租人的行列.並且同時擴大了育兒家庭居住的保障.那截至今年2月底為止已經合訂租金補貼約是3萬戶.
transcript.whisperx[30].start 2419.097
transcript.whisperx[30].end 2420.358
transcript.whisperx[30].text 總體的社會住宅措施﹚
transcript.whisperx[31].start 2442.139
transcript.whisperx[31].end 2461.128
transcript.whisperx[31].text 為了呼應淨零碳排的政策引導建築淨零轉型我們在去年7月份實施建築能效評估及標示制度並且在社會住宅及公辦都跟建築全面來導入新建住宅能效標示一級截至今年2月底為止通過認可的既有25件
transcript.whisperx[32].start 2462.936
transcript.whisperx[32].end 2473.225
transcript.whisperx[32].text 並且與地方政府來合辦22場的說明會.來擴散公有建築能效評估的範例.共同朝向淨零永續的目標來邁進此外在主席好謝謝
transcript.whisperx[33].start 2481.486
transcript.whisperx[33].end 2499.009
transcript.whisperx[33].text 此外在通行環節上面本部也積極落實行政院的措施然後來推動以人為本的新交通文化那同時也推動行人交通安全設施條例的立法透過與中央和地方系統性的中長期改善計劃來落實道安的目標
transcript.whisperx[34].start 2500.691
transcript.whisperx[34].end 2529.127
transcript.whisperx[34].text 這個條例的草案已經經行政院在今年3月7日含送大院審議也懇請各位委員能夠大力的支持在深化民主方面我們凝聚了禁止酷刑及其他殘忍不人道或有入人格之待遇或處罰公約及其認責議定書的施行法草案將聯合國禁止酷刑公約國內法化來接軌國際另外入出國籍移民法已經採二階段來施行
transcript.whisperx[35].start 2529.767
transcript.whisperx[35].end 2539.636
transcript.whisperx[35].text 那在有關於民眾福祉部分鬆綁停居留強化婚姻移民家庭團聚權等規範已經在今年的1月份優先上路來施行
transcript.whisperx[36].start 2540.888
transcript.whisperx[36].end 2567.807
transcript.whisperx[36].text 而在於強化人流安全管理相關處罰及收容新制的部分:也在今年3月正式來施行本部將會繼續的來辦理相關的教育訓練增進基層執法的專業打造友善的移民還有攬財的環境此外在民間組織育成上面我們在去年內政部組織法通過成立合作事業及人民團體司
transcript.whisperx[37].start 2569.626
transcript.whisperx[37].end 2590.776
transcript.whisperx[37].text 我們也在去年完成合作事業推動地方創生輔導事辦計劃.提供育成輔導的多元協助除外本部目前也在行政院的一個指示之下結合各相關部會成立主管部門的合作事業推廣專案小組來共同營造有利合作事業發展的環境
transcript.whisperx[38].start 2591.576
transcript.whisperx[38].end 2608.448
transcript.whisperx[38].text 最後,在協助宗教團體發展部分,我們在去年12月召開宗教事務諮詢委員會議,瞭解各教團的實際需求,並且已經定型頒布獎補助的規定,來協助地方政府加速輔導宗教團體
transcript.whisperx[39].start 2609.469
transcript.whisperx[39].end 2631.978
transcript.whisperx[39].text 保全不動產權.至目前照3月12日為止已經有559家宗教團體申請總計有3127筆不動產權歸屬的審論那最後感謝大任在上會期通過多項攸關人民權益還有本部組織改造的相關法案以上報告敬請各位委員先進指教謝謝
transcript.whisperx[40].start 2635.339
transcript.whisperx[40].end 2642.285
transcript.whisperx[40].text 好非常謝謝部長在這邊的業務報告我們繼續就開始我們的詢答我們請第一位舒巧惠委員好謝謝主席我們請林耀昌林部長有請林部長
transcript.whisperx[41].start 2658.413
transcript.whisperx[41].end 2681.391
transcript.whisperx[41].text 你好部長好部長今天是首次在內政部內政委員會這邊跟您做請教那也想要問一下您剛剛在這個口頭報告當然說了很多但我想要請教的是書面報告你說的也就口頭報告你沒有說到我想請教書面報告說到你提到了這個警政業務當中其實有一項是保護婦幼人身安全沒有錯吧是
transcript.whisperx[42].start 2682.412
transcript.whisperx[42].end 2711.732
transcript.whisperx[42].text 在第28月有提到嘛那在這裡面你有說到在112年也就是去年度我們通報的兒少保護案件有15808件脆弱家庭呢有5566件這個脆弱家庭應該是只涵蓋在兒少保護案裡面嘛對不對這裡的用語是這樣好那我就直接請教你請問我們之前日前在講的這個重大的兒女案件也就是凱凱案哪有沒有在這裡面
transcript.whisperx[43].start 2713.813
transcript.whisperx[43].end 2714.814
transcript.whisperx[43].text 創業家庭通報有哪些要件?
transcript.whisperx[44].start 2736.95
transcript.whisperx[44].end 2762.198
transcript.whisperx[44].text 應該按照法規規定的話其實他有一定的規定嘛對不對其實是欸我們看下一頁好不好對啊我們根據兒少全法的話錯落家庭有一定的定義那本件就我們現在從新聞上面列舉得知的部長你現在看法規這本件算不算錯落家庭算吧
transcript.whisperx[45].start 2763.188
transcript.whisperx[45].end 2790.841
transcript.whisperx[45].text 因為如果以本件我們從假設啦我們假設這個新聞報導的都是確定的的話那麼第一個嘛這個他很有可能他的父親父親的這個部分因為就是有在服役服刑的狀況嘛然後母親的狀況以及祖母家庭經濟狀況都符合這脆弱家庭這裡面的這三項八項裡面有三項是符合的啊
transcript.whisperx[46].start 2791.661
transcript.whisperx[46].end 2811.599
transcript.whisperx[46].text 不是這樣嗎?那為什麼會沒有通報呢?警政部門的通報在勤務中有發現比如說戶口查查或執勤的時候發現要通報給主管機關這個主管機關是地方來講是社會局
transcript.whisperx[47].start 2816.744
transcript.whisperx[47].end 2844.634
transcript.whisperx[47].text 是 所以在這個地方我們這個額略的案件其實現在已經有兩大主管部門嘛一個等於是內政部這邊在警政知道的這狀況之下其實你們是知悉嘛或者是受到通報的時候你們等於是有點被動接受當然你們在訪查的時候在任何狀況下看到的時候其實你們根據額少權法你們也是義務通報人之一啦之一其實根據這個額少權法有非常多的義務通報人那你們只是之一
transcript.whisperx[48].start 2845.915
transcript.whisperx[48].end 2861.989
transcript.whisperx[48].text 所以現在的主管單位其實是衛福部這邊的社政單位吧我的理解是這樣應該沒有錯嘛對不對可是就你們的了解就你現在判讀法規我剛剛請你判讀的是依照這個法規而照全法來講這個案件本身應該是脆弱交替應該沒有問題嘛對不對好
transcript.whisperx[49].start 2866.633
transcript.whisperx[49].end 2875.857
transcript.whisperx[49].text 可是我們再根據後面的狀況來看的話其實脆弱家庭當社政單位窒息之後其實也會通知回內政部對嗎這句話對嗎
transcript.whisperx[50].start 2879.824
transcript.whisperx[50].end 2896.353
transcript.whisperx[50].text 因為你們其實也有欸你們其實每年在內政部每年在行政院提報的施政計畫當中也公佈在內政部的網站施政計畫當中會說為了保護婦幼兒上安全落實脆弱家庭通報其實也在內政部我是請內部長
transcript.whisperx[51].start 2898.214
transcript.whisperx[51].end 2916.501
transcript.whisperx[51].text 也在你們的部門有啊所以意思是說脆弱家庭並不是你們主動發掘瞭解知道了之後可是其實應該回到你們這邊要跟警政單位有溝通啊為什麼呢因為脆弱家庭的要提供我現在就是看到這個嘛這個脆弱家庭之兒童及少年通報諧詢及資料收集處理利用辦法
transcript.whisperx[52].start 2923.244
transcript.whisperx[52].end 2948.403
transcript.whisperx[52].text 當然他是在這個衛福部的社會及家庭目下面他是根據兒少全法規定的可是他在這個根據下面的定義以及哪一些單位對這些脆弱家庭需要有照護等等其實警政單位也有相當多的事情是需要跟脆弱家庭需要能夠有互動要提供幫助的不是這樣嗎
transcript.whisperx[53].start 2949.684
transcript.whisperx[53].end 2977.921
transcript.whisperx[53].text 通報回來是合理的啊我跟委員報告我們警政單位通報回到我們這邊一個聯繫主要就是我們警察是提供比如說他在有人身安全保護上面需要那至於那個個案以及家庭的一個支持這部分應該是回歸到其實部長我今天要請教你的就是通報的部分啦通報的部分好那我現在問你如果民眾發現有逆遏事件的話他是打110還是113
transcript.whisperx[54].start 2980.977
transcript.whisperx[54].end 3006.579
transcript.whisperx[54].text 按照政府的規定現在最希望是打113啦對不對但是邀要動也可以接啦只是他又要通報回社政系統嘛對不對好我今天為什麼跟您請教這個其實因為我上一屆四年都在未還我們處理社政系統很多但是我必須說我們看到社會的真實面向上面就是大家發現有這種案件的時候第一個想到的還是打電話給警察啦
transcript.whisperx[55].start 3007.259
transcript.whisperx[55].end 3031.4
transcript.whisperx[55].text 老實講就是這樣啦第一線還是打電話給警察好那他就會變成剛剛說未報案的有報案的那有報案的警察接到了之後緊急的他會立即聯繫社工然後做後面評估然後如果要馬上出動其實也是要拜託警政系統的警察然後他就變成是一個重大案件等等就下去了嘛那要不急的話警政單位接到了通報之後也是要做成記錄並且通報社政單位然後讓社政去處理
transcript.whisperx[56].start 3034.102
transcript.whisperx[56].end 3054.445
transcript.whisperx[56].text 後面如果又有需要再回過頭來又是到警政所以可見呢這樣的一個兒女愛的案件裡面其實社政跟警政是密不可分的啊我這句話部長你同意嗎社政跟警政對兒女愛就是密不可分的是當然沒錯嘛因為剛剛在講我們最重要的就是要提供人身的一個安全的保護
transcript.whisperx[57].start 3055.466
transcript.whisperx[57].end 3074.258
transcript.whisperx[57].text 是在第一你會在接收通報的時候出現第二在遇有緊急狀況的時候你必須協同社工一起去嘛第三甚至是在事後在必要的時候你在收集案件證據等等的時候資料選取的資料協處的時候警政也會發生也會發揮非常大的功能這點也沒錯吧
transcript.whisperx[58].start 3076.779
transcript.whisperx[58].end 3098.328
transcript.whisperx[58].text 如果有需要修正的部分有需要修正的部分嗎?當它變成重大案件需要修正的時候了?對,會來協助好,那可是其實在本件啊據我們在網路上面看到有一個是有一個網友他說我這個犯案件啊我知道可能是本件相關的額內的哭聲影片他打電話到110告知了此事那得到的回覆是什麼?
transcript.whisperx[59].start 3099.008
transcript.whisperx[59].end 3111.222
transcript.whisperx[59].text 他是這樣說的啦我不知道是不是真實但是網友得到的回覆是請你將此案件送到地檢署長首長信箱到時候如果需要影片會再跟他聯繫你覺得這個打法對嗎
transcript.whisperx[60].start 3114.906
transcript.whisperx[60].end 3137.676
transcript.whisperx[60].text 我想這個是明顯不妥的可能不妥吧應該是不妥吧因為警政機關就有一段文字他說請民眾勇於發揮雞婆好鄰居關鍵不忍假的角色發現需要的弱勢錯誤家庭及恩怨案件可以適時通報110和113所以你剛剛的那個資料可以提供給我們可以一步查證好我要說的是這樣子其實我覺得這個
transcript.whisperx[61].start 3138.837
transcript.whisperx[61].end 3141.939
transcript.whisperx[61].text 我今天在這裡的時候我其實是想跟警政署和內政部警政署這邊說其實警察同仁真的非常辛苦
transcript.whisperx[62].start 3161.488
transcript.whisperx[62].end 3181.101
transcript.whisperx[62].text 因為我們上一屆在未來的時候深深知道所有的人所有案件都丟到警察這邊去而且你看他剛剛有三個階段其實你們也已經做了很多所以我主張的是如果有做的警政機關應該要把警察做的拿出來告訴大家其實我們做了這麼多你的辛苦要讓國民知道
transcript.whisperx[63].start 3181.701
transcript.whisperx[63].end 3207.07
transcript.whisperx[63].text 但如果像剛剛這個萬一真的是有落高企有做得不夠好當然應該改進這樣兩邊合起來我覺得額內案件才能夠有被處理完善的部分啦那當然我本來還想要講到組織阿等等之類的不過主席已經站起來那我們就留著我們未來再繼續討論我認為額內的部分其實確實兩邊的銜接是最重要的部分這一點跟平常糾結啦好謝謝委員
transcript.whisperx[64].start 3210.936
transcript.whisperx[64].end 3211.056
transcript.whisperx[64].text 有請部長
transcript.whisperx[65].start 3238.562
transcript.whisperx[65].end 3256.395
transcript.whisperx[65].text 委員長部長在去年也是這個場合我有跟部長我們有討論過這個涉宅輪候制是否應區分六都及非六都然後未來是不是要擴大適用輪候制向部長請教
transcript.whisperx[66].start 3258.576
transcript.whisperx[66].end 3271.841
transcript.whisperx[66].text 那時候部長有回答說應該做一個適當的區分畢竟六都的需求也不太一樣我不知道這一段時間我們有沒有做了一些檢討或什麼是 謝謝我請吳署長先做說明
transcript.whisperx[67].start 3275.548
transcript.whisperx[67].end 3276.509
transcript.whisperx[67].text 北北及桃宜
transcript.whisperx[68].start 3290.947
transcript.whisperx[68].end 3307.927
transcript.whisperx[68].text
transcript.whisperx[69].start 3308.808
transcript.whisperx[69].end 3322.818
transcript.whisperx[69].text 續續討或是逐逐秒他也會設立一個生活圈以此類推把全台灣劃分成6個大的生活圈來做處理那這樣的話涉宰的分部會更能夠掌握實際大家通勤跟居住的一個行為的需要
transcript.whisperx[70].start 3324.219
transcript.whisperx[70].end 3347.676
transcript.whisperx[70].text 所以有在做檢討啦齁好那另外啊齁我們這個啊這個租屋優化的這個齁雖然這個問題沒有說很明顯啦齁但我不知道這個署長你是不是知道啊齁我們之前我們都跟我們那個房客說啊齁我們不用啊齁跟房東講我們就可以直接處理齁對不對但欸
transcript.whisperx[71].start 3350.683
transcript.whisperx[71].end 3373.974
transcript.whisperx[71].text 有些房東沒有繳納房屋稅或什麼被全數退回的這個我們要怎麼處理跟委員報告那個是在111年的確我們第一次開始推的時候沒有到很精準沒有到很精準那所以當時那時候也還沒有講就是不用經過房東同意但是後來發現有一些是因為他的房屋沒有稅籍
transcript.whisperx[72].start 3375.394
transcript.whisperx[72].end 3392.719
transcript.whisperx[72].text 或實際上沒有做就是說實際上他的分區不是做居住在使用的那所以這個部分大概全國有大概有180幾件那這一些我們後來因為當時的規定的確是怕說有這個幽靈戶口的做法所以當時規定的比較嚴格
transcript.whisperx[73].start 3393.839
transcript.whisperx[73].end 3411.63
transcript.whisperx[73].text 我們在112年開始就把這個條件更放寬只要實際上有居住行為也涵蓋現在的所謂的違建頂加通通都列進去所以在112年這些案子就沒有再發生了所以更為保證我們有中間有再做一些改進
transcript.whisperx[74].start 3412.83
transcript.whisperx[74].end 3440.659
transcript.whisperx[74].text 所以這一百八十幾件其實沒有問題了吧沒有就是照一百一十一年的規定他還是要退回但是他如果一百一十二年申請再來補稅那就沒有問題我的意思是說他如果同樣的條件他在一百一十二年一百一十三年之後重新申請就沒有問題啦對而且上次也提到就是說這些就是已經這個房屋稅的就是稅籍有沒有還有這個也不得作為查稅的依據所以也不會再出現這個一個狀況
transcript.whisperx[75].start 3442.299
transcript.whisperx[75].end 3457.281
transcript.whisperx[75].text 重點就是沒有問題了啦 對不對沒有問題的話喔要跟大家講啊我們現在這邊討論沒有但很多年輕人不知道啊就是這個有問題造成他不敢申請
transcript.whisperx[76].start 3458.944
transcript.whisperx[76].end 3474.421
transcript.whisperx[76].text 我今天問你就是我遇到好幾個例子人家問我們服務組阿這樣到底可不可以申請阿所以我是覺得啦這樣沒有問題我們應該就大聲講吧在你們的網站問什麼阿讓人家知道讓年輕人知道年輕人不一定看新聞當然又看你們網站阿
transcript.whisperx[77].start 3474.941
transcript.whisperx[77].end 3476.582
transcript.whisperx[77].text 我覺得這一部分可能是要讓大家要去了解好不好
transcript.whisperx[78].start 3493.951
transcript.whisperx[78].end 3505.234
transcript.whisperx[78].text 另外部長,你前一陣子就有說我們這個改革方案公設比可以降到25、30%了,這個部長你覺得這個可以解決所有的問題了嗎?
transcript.whisperx[79].start 3515.8
transcript.whisperx[79].end 3530.95
transcript.whisperx[79].text 這一部分這兩個措施因為我們最主要是兩個措施第一個是這個車道的車位的專有登記還有這個車道的負擔的部分另外就是在這個免計容積的部分做一些變革
transcript.whisperx[80].start 3532.071
transcript.whisperx[80].end 3554.504
transcript.whisperx[80].text 那這個大概可以大幅的去改善就是可以增加民眾在實際購物時候所買得的這個實際的一個評數但你說他能不能解決所有的問題因為所有問題也許包括房價等等他當然不可能解決所有問題但是他會解決這個所謂增加時評這個民眾很關心的這個問題
transcript.whisperx[81].start 3557.566
transcript.whisperx[81].end 3561.797
transcript.whisperx[81].text 我知道部長其實時間的關係我擔心的一個就是說如果這個會不會造成這個
transcript.whisperx[82].start 3567.478
transcript.whisperx[82].end 3591.958
transcript.whisperx[82].text 你要比較多的食品或什麼造成這個等於單品的售價會提高實際上並不會關於物價的調漲這個我跟你講建商會不會這樣子我們可能要預先預防建商可能有一百種理由他就會提高這個我只要提醒這個我覺得這個很有可能發生我們要及早預防
transcript.whisperx[83].start 3592.679
transcript.whisperx[83].end 3621.469
transcript.whisperx[83].text 我跟委員報告其實我們最近都有跟不動產界還有業者來做一些溝通跟討論基本上大家在瞭解之後是可以理解那也知道說這樣子可以避免有一些不肖的建商在過去會用所謂的慣需品或者說車道兩賣的這個狀況所以他會讓整個的一個制度更加的一個公平我跟這位委員提到的這個部分我們會特別注意
transcript.whisperx[84].start 3621.829
transcript.whisperx[84].end 3643.46
transcript.whisperx[84].text 好 謝謝另外這個上個禮拜大家都在關注這個那個幼童凱凱的事件我在這邊要跟部長說一下就是說其實我們業務裡面新住民是我們的業務新住民相對的來說有很多他也是社會的弱勢
transcript.whisperx[85].start 3645.06
transcript.whisperx[85].end 3661.507
transcript.whisperx[85].text 那像這種情況我覺得也有可能會發生因為你的新住民其實的離婚啊什麼的情況也很多那就變成單親變成什麼的那他們的第二代我們的新二代也有可能會遇到這些問題
transcript.whisperx[86].start 3662.607
transcript.whisperx[86].end 3690.768
transcript.whisperx[86].text 我在這邊我是要提醒部長跟我們署長對於這個問題已經發生了我們應該馬上就要內政部我們應該要有我們的規範我們的措施我們要去預防這件事情在新住民的小孩子身上發生我在這邊不知道部長你跟我的看法有沒有一致我想這部分是毋庸置疑的
transcript.whisperx[87].start 3691.748
transcript.whisperx[87].end 3713.7
transcript.whisperx[87].text 那我們有沒有馬上去開會去檢討說有哪些要趕快去做的哪些要去補強的你可以請署長回答其實這個事情一發生之後院裡面就有這個邀請相關的一個部會做相關的精進的一個討論細節的部分我請署長簡單做說明署長我就要說對於新住民的部分我說這一塊
transcript.whisperx[88].start 3715.912
transcript.whisperx[88].end 3733.55
transcript.whisperx[88].text 對於新住民的這個部分因為有可能有這個脆弱的這個屬性的這個家庭那因為我們有這個基金的部分是有在補助各縣市都有設立新住民家庭服務中心那我們的各縣市的服務站也都有聘請專業的
transcript.whisperx[89].start 3735.031
transcript.whisperx[89].end 3735.852
transcript.whisperx[89].text 我只有一句話啦
transcript.whisperx[90].start 3757.845
transcript.whisperx[90].end 3758.045
transcript.whisperx[90].text 非常謝謝張宏祿委員的質詢 謝謝
transcript.whisperx[91].start 3788.796
transcript.whisperx[91].end 3792.338
transcript.whisperx[91].text 謝謝部長謝謝組長謝謝繼續我們請徐宇貞委員來質詢主席請我們林佑昌部長有請林部長
transcript.whisperx[92].start 3817.005
transcript.whisperx[92].end 3837.774
transcript.whisperx[92].text 部長我想請教你在107年12月底的時候當時的行政院長也就是現在的總統當選人賴清德開始推動智慧政府的發展藍圖那內政部也在108年的1月31號提報數位身份證換發的計劃同年的6月呢行政院通過4年總經費48.9億元的計劃那依據內政部112年度的決算報告來看
transcript.whisperx[93].start 3844.757
transcript.whisperx[93].end 3847.919
transcript.whisperx[93].text 內政部新市徵認證換發的計劃109年到112年累積編列的預算數為8億6504萬8千元那截至112年指呢累計執行數為7億1223萬7千元另外我可以查到的還有在
transcript.whisperx[94].start 3863.346
transcript.whisperx[94].end 3886.812
transcript.whisperx[94].text 一百零九年度中央硬製廠也編列了四億一千八百零四萬五千元所以兩者合計呢總計是十一億三千零二十八萬兩千元那今年一月初呢公共工程委員會也跟數位生產的代表廠商完成了仲裁的協議同意二點八億元的和解如果再加上這筆和解金的話
transcript.whisperx[95].start 3887.372
transcript.whisperx[95].end 3897.726
transcript.whisperx[95].text 我們為了數位身份證要支出的經費是14億1028萬元本席要請教林部長本席算這個數字正不正確
transcript.whisperx[96].start 3901.449
transcript.whisperx[96].end 3921.837
transcript.whisperx[96].text 因為這邊是執行數我想執行數就是已經執行出去的那我們大概有幾個部分一個是投入的這個廠房還有設備另外有一些耗材然後另外還有每年的一個維護的費用所以說我剛剛提了依您的決算報告的14億的這個部分的數字是正確的喔
transcript.whisperx[97].start 3923.517
transcript.whisperx[97].end 3937.082
transcript.whisperx[97].text 我們部的部分是7億多我想這個決算的部分應該是確定的好你們部是7億多那因為要執行這個計畫中央運製廠編列了4億多也不算在這個計畫當中嗎
transcript.whisperx[98].start 3940.24
transcript.whisperx[98].end 3967.319
transcript.whisperx[98].text 應該是算吧我想整個支出的經費就是14億我請那個民政司那好等一下我想等一下再一起說明部長您在接受媒體的時候有說賠償2.8億已經是最好的結果您的說詞是不是要誤導民眾認為我們只支出了為了這個做錯誤的政策支出2.8億那這是最好的結果嗎那如果
transcript.whisperx[99].start 3968.742
transcript.whisperx[99].end 3970.587
transcript.whisperx[99].text 這個是最好的結果那最壞的結果是什麼
transcript.whisperx[100].start 3972.861
transcript.whisperx[100].end 3973.901
transcript.whisperx[100].text 會不會再增加經費呢?會不會再增加經費呢?會不會再增加經費呢?
transcript.whisperx[101].start 3998.986
transcript.whisperx[101].end 4023.057
transcript.whisperx[101].text 您知道嗎?其實我認識很多的年輕人他們現在工作之後面對低薪、高物價、高房價所以他到了月底的時候幾乎就沒有辦法正常的三餐的支出要不然就吃泡麵要不然一天只吃一餐那你說2.8億已經是最好的結果我覺得這樣對我們一般的老百姓跟一般的民眾真的是一個很不負責任的講法
transcript.whisperx[102].start 4023.857
transcript.whisperx[102].end 4038.207
transcript.whisperx[102].text 那我覺得以這個部分來說我還看到你們在內政部113年度預算編列了支付新式身份證印製設備暫停執行之必要費用還要6375萬9千元請問一下部長這個是什麼樣的一個狀況
transcript.whisperx[103].start 4043.772
transcript.whisperx[103].end 4055.281
transcript.whisperx[103].text 我想這是我們未來這個我們未來要支付就是可以支付的一個費用但他並不一定是暫停執行之必要的費用因為這些最低的費用因為這些
transcript.whisperx[104].start 4060.304
transcript.whisperx[104].end 4065.99
transcript.whisperx[104].text 這些機器你還是必須要維護,你還必須要讓它維持是良好的一個狀態。沒有終止是暫停。
transcript.whisperx[105].start 4076.179
transcript.whisperx[105].end 4093.213
transcript.whisperx[105].text 那請問什麼時候會再恢復?這個就是因為當初這個案子有兩個決議第一個就是要成立一個專責獨立的一個機關第二個就是我們要有一個各自的一個專法這個暫停之後會到什麼時候會再度執行?
transcript.whisperx[106].start 4097.236
transcript.whisperx[106].end 4104.538
transcript.whisperx[106].text 請問到時候那些設備還可以用嗎?你現在每年花6,375萬在維護這些設備到時候也許你是5年之後才會再執行而到時候也沒有辦法這些設備沒有辦法再用了那你這每年還要花那麼多錢的去維護這些可能未來根本用不到的設備請問這樣是不是也是在浪費我們的功能?我要跟你報告如果是計畫重新啟用的話這些機器跟設備還有耗材它一定可以用
transcript.whisperx[107].start 4124.284
transcript.whisperx[107].end 4131.129
transcript.whisperx[107].text 部長我覺得喔你是為了在掩護喔我這個賴清德總統他之前在擔任行政院長的一個說法在這邊感覺上面是為了保住自己的官位所以刻意說賠償2.8億元已經是最好的結果而沒有講出實際上政府已經支付的費用我剛剛已經提到了
transcript.whisperx[108].start 4148.963
transcript.whisperx[108].end 4155.83
transcript.whisperx[108].text 在決算報告我已經幫你算出來了我們到目前為止已經為了這個錯誤的政策實際支付已經超過14億元所以部長你要不要為這個事情做道歉呢所以你覺得為了這個事情
transcript.whisperx[109].start 4169.944
transcript.whisperx[109].end 4179.575
transcript.whisperx[109].text 因為做了錯誤的政策而浪費了公帑14億元你們覺得不用道歉嗎?委員這是一個這是一個延續性的政策我覺得這個是非常適合的一個做法本期希望針對這個政策你們一定要提出道歉
transcript.whisperx[110].start 4186.062
transcript.whisperx[110].end 4194.193
transcript.whisperx[110].text 本席也認為其實你為了要掩護自己這種錯誤的政策故意誤導民眾這個2.8億元只是賠償這樣的金額我覺得真的已經是非常失質了我們在之前其實都已經說明過了
transcript.whisperx[111].start 4201.602
transcript.whisperx[111].end 4224.749
transcript.whisperx[111].text 另外我還要再問您的就是說現在有許多年輕人連男女朋友都不敢交只想當一個躺平族那年輕人的流行語是不婚不生快樂一生請問林部長有聽過嗎年輕人不婚不生對未來可以說是非常的非常對我們國家可以說是非常的痛苦的但是現在的年輕人他們有一個三部政策就是不生小孩不買房子
transcript.whisperx[112].start 4226.309
transcript.whisperx[112].end 4245.495
transcript.whisperx[112].text 還有不結婚請問內政部有什麼策略可以改善這年輕人的三不政策嗎?謝謝委員的詮詢整個的一個這個政策主責是在國發會那我們內政部可以負責的部分或者是主責的部分是在社會住宅的一個提供
transcript.whisperx[113].start 4246.175
transcript.whisperx[113].end 4268.846
transcript.whisperx[113].text 所以剛剛報告的裡面也有提到直接興建社會住宅或者是包住代管或者是提供租金的補助都是現在正在提供的我想這時間可能不夠讓我在這邊聽您回答所以是不是會後可以請內政部針對您剛剛講的社會住宅或是抑制房價這相關的對策跟做法的資料提供給委員會好嗎是沒有問題好謝謝好謝謝委員
transcript.whisperx[114].start 4272.401
transcript.whisperx[114].end 4292.636
transcript.whisperx[114].text 好,非常謝謝徐域臻委員的質詢。謝謝部長。謝謝。好,我們繼續請王美惠委員質詢。我們待會在黃建斌委員質詢結束之後呢,我們休息五分鐘,讓大家這個上一下洗手間。好,謝謝。主席,謝謝。我們請保定。好,有請部長。
transcript.whisperx[115].start 4298.513
transcript.whisperx[115].end 4308.639
transcript.whisperx[115].text 主席,我們要先探討的就是剛才有說到數位新聞局的問題。我們是在中央會議也有說出治安的環節。在這裏面,我們是最了解在馬英九總統做的時候
transcript.whisperx[116].start 4320.566
transcript.whisperx[116].end 4323.608
transcript.whisperx[116].text 已經要做新聞局的事務委員:但議員在裡面也是很鼓勵大家都願意來做這個問題:是怎樣到現在的時候 有人說要暫停:是甚麼原因 來部長你回答一下
transcript.whisperx[117].start 4339.977
transcript.whisperx[117].end 4356.669
transcript.whisperx[117].text 我認為最主要是社會對資訊安全的事情有更高的要求因為以前你提到的社會身份證也是自衛國家的一個象徵不過未來社會上會有不同的原因
transcript.whisperx[118].start 4360.032
transcript.whisperx[118].end 4361.453
transcript.whisperx[118].text 主席在這裏請教在這個規定當中應該不可以落下
transcript.whisperx[119].start 4379.606
transcript.whisperx[119].end 4388.432
transcript.whisperx[119].text 這個過程從你吃到現在,不要說什麼人吃到,從你臨部長吃到現在,你不要去奴隸這件事嗎?是,委員報告,因為這個會議的展出是你先進來的,我吃的時候最主要就是你處理,如何將這個我們要補充的經驗,讓它越來越好
transcript.whisperx[120].start 4404.062
transcript.whisperx[120].end 4411.51
transcript.whisperx[120].text 這樣就是你吃的時候已經想說要暫停了啦我吃的時候正確一定是暫停啦暫停嘛齁在這裡我先跟你講的就是說暫停的當中議員委員我也有說治安是最重要的因為
transcript.whisperx[121].start 4423.563
transcript.whisperx[121].end 4437.326
transcript.whisperx[121].text 在最近這幾天的時候:有一些我們的主流:外社的時候:有說是你們後勤的問題:在這裏面本身要跟你提議的:就是說跟你請教的:在我們全台灣中央有什麼人有發動:在你們的後勤的主流:在你的單位沒有來
transcript.whisperx[122].start 4449.068
transcript.whisperx[122].end 4456.975
transcript.whisperx[122].text 你回答一下委員你說第二天的...第二天的單位有所有全台灣的補正的資料有第二天的單位有這個資料嗎?就是這個問題啦我們補正會議的系統是除了我們中央之外全國連線第二天的每一年我們中央有70多個機關及單位都有齁
transcript.whisperx[123].start 4476.852
transcript.whisperx[123].end 4484.722
transcript.whisperx[123].text 因為內政部偷這個資料要用去做其他的一個加值的運用因為部長我是要怎麼來請教這個因為當局一來打架也好 詐騙集團也好 打豬的片也好 都是因為
transcript.whisperx[124].start 4493.032
transcript.whisperx[124].end 4496.355
transcript.whisperx[124].text 有主流、個人的主流:卡定位也好:傳證信也好:包括本席現在的所居來賓:還說競議你:求到你可貸款三百萬:我今天來一個月:跟幾百塊我理性而已::到現在還說有喔:
transcript.whisperx[125].start 4513.311
transcript.whisperx[125].end 4522.515
transcript.whisperx[125].text 結果你來想想,我們的資料是如何經常有,再來第二點,不要說民意代表留意什麼人多大,最近你看這樣強迫的定位也好,郵政也好,你們的作為是什麼,讓社會說實在亂糙糙啦
transcript.whisperx[126].start 4539.165
transcript.whisperx[126].end 4545.67
transcript.whisperx[126].text 身為一個執政黨的.是應該愛辣事處理好.理解如何.在剛才的報告.跟本席所了解.你看你們的詐騙集團的.看配多少.在這兩天.四五十月.你奉陪的.公社的署長.
transcript.whisperx[127].start 4561.075
transcript.whisperx[127].end 4562.556
transcript.whisperx[127].text 你剛才聽部長說的說啊有知道這裡三萬五千隻、三萬六千隻有負責,負責是要如何?
transcript.whisperx[128].start 4562.556
transcript.whisperx[128].end 4562.837
transcript.whisperx[128].text 如果一一退回來還要緊嗎?
transcript.whisperx[129].start 4575.53
transcript.whisperx[129].end 4590.219
transcript.whisperx[129].text 委員你說得正確,我們內政部警察最主要是這個騙人騙這個詐騙,但是更重要的是源頭的管理,就是說因為現在都是科技嘛,都是無國界、無差別的公職。對阿,以前都說要科技用就好,要保安,還是要做什麼,還可以那麼大位,結果每次都看起來,每天都很了解,
transcript.whisperx[130].start 4604.408
transcript.whisperx[130].end 4613.174
transcript.whisperx[130].text 講實在,你若在街上接到白色來聽證﹖有的是到處去奉陪你﹖有的是退休﹖想說我們來到處借﹖有的人說趕快不要貪心就好了﹖就不會去奉陪你了﹖什麼人不想說我們多少錢賺一個錢﹖還強加我們的生活﹖我知道這是﹖
transcript.whisperx[131].start 4627.803
transcript.whisperx[131].end 4629.985
transcript.whisperx[131].text 內政部的立定就是高利貸的認證項目
transcript.whisperx[132].start 4644.033
transcript.whisperx[132].end 4667.358
transcript.whisperx[132].text 阿不要怕說他這個好像被詐騙了:然後被笑因為齁這就跟咱們你放在COVID-19一樣你丟這個這個武漢肺炎丟這個肺炎這個你就要知道說現在傳染的途徑是什麼所以我們非常歡迎說民眾歡迎出來這樣才可以靠譜說其他的人不去示範我叫我本來就在這裡要說白色紅皮理論不
transcript.whisperx[133].start 4668.378
transcript.whisperx[133].end 4679.347
transcript.whisperx[133].text 昨年的時候這部分已經改善了。第一就是你銀行端就炸掉了。第二就是你圈存,就是說你如果可以叫詐騙集碼回出去了,我們可以在國分金裡面轉移回出的錢來幫你綁住。要跟你講這個就是說,白色鎖定金來付不出的。
transcript.whisperx[134].start 4697.202
transcript.whisperx[134].end 4702.607
transcript.whisperx[134].text 是完全是無法討討回來有你們說的 他說我們是要解決問題啦 是只要可以找回來 是你們本來就是要做的 只是在明年有無討回來 是要怎樣去協助他們才重要啦 我如果要聽你說真的會討討回來 我今天不用站在這裡跟你說啦 是要說
transcript.whisperx[135].start 4725.011
transcript.whisperx[135].end 4725.151
transcript.whisperx[135].text 國土委書長來,關鍵
transcript.whisperx[136].start 4750.626
transcript.whisperx[136].end 4757.189
transcript.whisperx[136].text 市長本來要說你們的租金這個問題亂糟糟 跟補助人 跟補助人現在又說你們的規格不符合 你們要再想辦法 尤其你們的美意 最後會說 你們如果可以過 你們必須穿過身穿的可以過 我可以過 以後補助到
transcript.whisperx[137].start 4775.779
transcript.whisperx[137].end 4784.106
transcript.whisperx[137].text 我本席在當會期也要說 交易宣判就是要由那時候開始上去 我知道你們很認真 但是在很認真的當中 當中你們審核不對的 一天限制 還要叫人退給你們 我覺得實在審核這個機制 要趕快去處理
transcript.whisperx[138].start 4799.739
transcript.whisperx[138].end 4802.28
transcript.whisperx[138].text 謝謝王美暉委員的質詢 謝謝部長接下來請高金素美召集委員質詢
transcript.whisperx[139].start 4835.67
transcript.whisperx[139].end 4858.729
transcript.whisperx[139].text 謝謝我們今天主席,有請林部長。請林創部長,謝謝。部長早安。您看一下我今天的POINT上面有寫,蕭總統他在2016年他曾經向原住民道歉。他提過台灣號稱是多元文化的社會,但是一直到今天原住民族的健康、教育、
transcript.whisperx[140].start 4859.75
transcript.whisperx[140].end 4875.352
transcript.whisperx[140].text 經濟生活政治參與還有許多層面的指標仍然跟非原住民族存在著落差我非常贊同蔡總統對於原住民現況的這樣子的描述而這些落差呢就必須要各部會一起來努力來彌補你同意嗎
transcript.whisperx[141].start 4876.935
transcript.whisperx[141].end 4895.062
transcript.whisperx[141].text 我完全同意好尤其在內政部是第一大部裡面有關於內政的問題原住民族的問題非常多所以我要好幾個問題今天要就教你第一個議題就是目前地方制度法第33條的條文僅僅對於平地原住民有明確的參政權的保障
transcript.whisperx[142].start 4895.862
transcript.whisperx[142].end 4923.279
transcript.whisperx[142].text 每1500個人至少有一席的平地原住民的議員或者是明代的席次然而3地原住民卻沒有保障然後以部長你熟悉的基隆市為主基隆市3地原住民目前有1541人了他們被迫只能投給不熟悉原住民需求的漢人的議員候選人這種間接剝奪3地原住民參政權的制度您是不是認為應該修法
transcript.whisperx[143].start 4924.58
transcript.whisperx[143].end 4941.69
transcript.whisperx[143].text 我的調查再稍微講一下目前有3個縣市跟9個鄉鎮市區是有類似的情況我也已經提案要修法了是不是請部長我們一起來支持維護山地原住民在都會區的權益您同意嗎
transcript.whisperx[144].start 4944.242
transcript.whisperx[144].end 4966.821
transcript.whisperx[144].text 跟委員報告這個我們已經現在正在研議那也有一些方向那基本上我們是朝正面的一個態度來看待非常好這是一個非常好的消息我也有提案要修法我們一起來努力另外我要幫各村里長發聲尤其是在原住民地區的還有偏鄉的村里長
transcript.whisperx[145].start 4967.922
transcript.whisperx[145].end 4987.961
transcript.whisperx[145].text 您知道嗎臺灣最大的村是花蓮縣秀林鄉的富士村看一下地圖它的面積有529平方公里然後最大的里是在高雄市桃園區的梅山里它的面積有434平方公里而部長您曾經服務過的基隆市它的面積只有132.8平方公里這是我們說的
transcript.whisperx[146].start 4991.084
transcript.whisperx[146].end 5020.452
transcript.whisperx[146].text ﹚議員﹚
transcript.whisperx[147].start 5020.652
transcript.whisperx[147].end 5024.059
transcript.whisperx[147].text 還有油價非常的飆升你覺得對待他們公平嗎現在我想現況當然是不盡公平那我們應該怎麼來努力
transcript.whisperx[148].start 5030.891
transcript.whisperx[148].end 5058.248
transcript.whisperx[148].text 跟委員報告我想這一個問題這個我知道委員很關心那也有很多包括地方的民意代表跟立法委員也都不斷的一個倡議那我上任之後其實針對這個事情也做了深入的一個研究跟探討那我們基本上覺得應該是要思考一個符合現況需求的否則因為通常這些原住民鄉我們原民的部落
transcript.whisperx[149].start 5059.989
transcript.whisperx[149].end 5065.352
transcript.whisperx[149].text 好,一個月之內我們是不是能夠來提出一些最符合這些公平的一些這個修法也好或者是建議也好,我們來改善好不好?好,一個月之內,我們再加緊腳步,謝謝
transcript.whisperx[150].start 5086.363
transcript.whisperx[150].end 5103.453
transcript.whisperx[150].text 第三個議題我還提到的是原住民的冰葬設施的問題我們看到冰葬管理科有一個111年到114年的冰葬設施量能的提升計劃他到明年就要結束了但是實際山地鄉仍然有許多的問題需要處理
transcript.whisperx[151].start 5104.153
transcript.whisperx[151].end 5131.741
transcript.whisperx[151].text 比如海拔1500公尺以上或者是在水源保護區裡面的冰藏設施他必須要有環評還有水保法規的限制因此呢我們在山地鄉裡面有非常多的鄉公所沒有辦法趕在114年提報計劃您的這個書面報告裡面我也看到了其實在原鄉只有大概十幾個鄉公所完成了這個計劃請問一下部長您可以承諾冰藏設施量能提升計劃可以延續來辦理嗎
transcript.whisperx[152].start 5134.724
transcript.whisperx[152].end 5155.832
transcript.whisperx[152].text 可以嗎部長委員這一個案子其實陳女剛才說這個到明年時間就到了那也的確還有許多的原鄉沒有這個平常的一個設施我想這一個部分我們會來跟院來做討論希望能夠做適當的一個延長那另外就是另外就是經費的部分來做一些爭取
transcript.whisperx[153].start 5160.834
transcript.whisperx[153].end 5189.845
transcript.whisperx[153].text 一個月之內也提出一些相關的報告好不好好謝謝您好第4個議題就是國家公園向山致敬的政策您跟我提到原住民部落會更進一步的合作跟這個國家公園我們當然支持藉由這個計畫讓非原住民能夠更理解也更尊重然後也能夠推展原住民的文化並且持續跟在地的部落來合作但是我請教部長為什麼目前這個計畫只有11個部落要合作
transcript.whisperx[154].start 5190.385
transcript.whisperx[154].end 5213.892
transcript.whisperx[154].text 然後你們所謂的具發展潛力的部落群.你們是什麼樣的一個定義跟概念請問部長好跟委員報告因為我們住主要因為在整個的一個我們中央的山派其實有相關不同的部會在這個主管對那我們內政部的國家公營署是其中的一個而已所以這個當然是由我們內政部來做這樣的倡議來跨部會的合作
transcript.whisperx[155].start 5216.373
transcript.whisperx[155].end 5236.264
transcript.whisperx[155].text 包括林茂淑﹑觀光局等等所以我們的11個基本上是以我們高山型3個國家公園的主要的露出口的部落來做一個基礎另外跟其他的部會包括教育部、園民會等等
transcript.whisperx[156].start 5236.644
transcript.whisperx[156].end 5245.891
transcript.whisperx[156].text 大家來做比對跟討論找出目前大家初步有共識的11個當然未來也有可能比11個還多
transcript.whisperx[157].start 5246.857
transcript.whisperx[157].end 5273.263
transcript.whisperx[157].text 好很好也就是說我本來要具體建議但是聽部長這麼說我覺得我們兩個是可以有一些溝通跟交流的我們的概念蠻像的比如說園民會他有一個部落清理型他其實有非常多相關合作了比如說林務署他也合作過社區林業計劃的經驗所以您剛剛談到園民會然後林務署還有教育部我們怎麼樣可以跟幾個部會一起合作的意思對吧對
transcript.whisperx[158].start 5273.783
transcript.whisperx[158].end 5296.498
transcript.whisperx[158].text 那必須要通盤檢討來看從地圖上面來看哪幾個部落是可以納入計劃的對嗎?是不是我們也可以請部落他主動來提他覺得是跟這個這個您的這個所謂的具體的建議很好他可以主動參與可以嗎?是當然可以那不過這是因為這11個是因為我們是內政部我們國家公園是我們主管但其他的部分不是我們主管
transcript.whisperx[159].start 5297.139
transcript.whisperx[159].end 5308.651
transcript.whisperx[159].text 我會由我的辦公室來邀請各個部會然後一起來提出共同的平台可以吧好謝謝再來就是防救災的業務了我們看到行政院有一個6.6億的專案來補助計劃你們要協助各縣市購買救災機器人還有無人機請問部長這些資源有多少會投入到原鄉部落
transcript.whisperx[160].start 5318.641
transcript.whisperx[160].end 5318.881
transcript.whisperx[160].text 我以前有提過
transcript.whisperx[161].start 5334.17
transcript.whisperx[161].end 5352.288
transcript.whisperx[161].text 提升山地鄉消防救災的效能計劃總共編列了三年的中程計劃這的確解決了一些原鄉消防和救災效能不足的問題很可惜這個計劃已經終止了是不是可以再思考一下這個是不是在提出適合部落的防救災效能的整合計劃
transcript.whisperx[162].start 5354.2
transcript.whisperx[162].end 5366.471
transcript.whisperx[162].text 無人機及救災機器人最主要是針對人口比較群聚的地方臺東縣的部分有配置各4部原廂的部分是另外一個課題我請蕭署長來做補充
transcript.whisperx[163].start 5369.013
transcript.whisperx[163].end 5397.068
transcript.whisperx[163].text 因為今天時間不夠了是不是請蕭處長你們可以思考一下有很多原住民的兄弟是軍警退伍的這些人士有很多的量能來可以協助救災防災的所以是不是我們可以跟部分的年輕人來結合一下然後也在一個月之內我們提供一下來盤點一下數據然後包括你們消防署警政署裡面的一些計劃量能的提升這些東西把它整合在一起可以嗎
transcript.whisperx[164].start 5400.136
transcript.whisperx[164].end 5420.476
transcript.whisperx[164].text 最後我要聊到的就是在3個禮拜四傳送11年的王光祿獵人案他歷經有罪定驗4至80號的解釋然後蔡總統又特赦一直到現在無罪確定這是原住民狩獵權力的一大勝利知道相信部長應該知道吧
transcript.whisperx[165].start 5421.396
transcript.whisperx[165].end 5449.531
transcript.whisperx[165].text 我們的最高法院更進一步定下了兩大原則第一個是自製獵槍應該包括他自己用自製他用在這個標準底下是容許自製獵槍不限規格只要是族人自己製造或者是族人使用他們製造的槍枝都屬於自製獵槍這是最高法院的裁定第二個是只要是基於原基法第19條的原因狩獵就不受野保法的限制
transcript.whisperx[166].start 5450.151
transcript.whisperx[166].end 5475.088
transcript.whisperx[166].text 部長在列槍規範的議題上面我開過了三次的協調會最高法院的判決他有支持我的立場所以未來原住民在愚民自治列槍愚槍許可管理辦法的這個辦法裡面是不是繼續以族人自治並且用安全性的前提之下朝雙軌制的方案來定立規範可以嗎因為你現在是單軌制
transcript.whisperx[167].start 5475.888
transcript.whisperx[167].end 5490.763
transcript.whisperx[167].text 我們警政署也同意這樣的一個方向不過安全的部分還是很重要這部分是由國防部在負責了解我已經開了三次的協調會了警政署、內政部、委員會我們以這個大法官的解釋之下還有安全的使用規範之下希望這個辦法能夠雙軌而不是只有一軌好嗎好謝謝你
transcript.whisperx[168].start 5496.909
transcript.whisperx[168].end 5497.369
transcript.whisperx[168].text 接下來有請黃建斌委員發言
transcript.whisperx[169].start 5529.626
transcript.whisperx[169].end 5533.269
transcript.whisperx[169].text 主席早安主席我們有請內政部部長好有請林部長市委員好部長好部長其實本席跟內政部有很深的淵源我本席曾經擔任過最基層的村立幹事所以我是村幹事出身我對大概我們基層在推行不管是政策或是社會救助上其實或是第一線有對地方的一定的了解
transcript.whisperx[170].start 5559.208
transcript.whisperx[170].end 5573.443
transcript.whisperx[170].text 那常常在講村里幹事啊大概就僅是有猜對地方的熟悉度可是我有一項他可能沒辦法講就是新進人員這件事情因為我們的管小朋友多進了一個新的戶口我們不太了解他的過去
transcript.whisperx[171].start 5574.98
transcript.whisperx[171].end 5598.397
transcript.whisperx[171].text 所以這在掌握上會比較缺乏一點點的那個正確性但是我們講這個就提到我們在看內政部長的那個報告提到說主要今年內政部有出過這種全國姓名統計分析專書這個專書是作為目的應該是作為我們我國這個姓名制度的改善依據嗎是不是
transcript.whisperx[172].start 5600.8
transcript.whisperx[172].end 5625.332
transcript.whisperx[172].text 也是但也不是因為這個是一個例行的工作我們是依法然後做相關的一個彙整跟公佈部長本是建議內政部是我們全國天下第一大部他掌管全國重要的業務應該更著重在不管是我們的都市計畫的推動基礎建設甚至警消人員的服務這邊應該是要更加強而不是在做這樣的事情那這兩個並不衝突
transcript.whisperx[173].start 5627.133
transcript.whisperx[173].end 5651.689
transcript.whisperx[173].text 因為我也覺得很納悶啊我們統計加好跟數分差點低比這件事對我們未來推動有什麼差別我已經跟你報告了因為那個就是我們因為台灣的戶籍的系統是全世界輔助全球的所以他的資訊非常的完整他等於就是一個大的資料庫所以我們依法就是說就這些大的資料庫的一個內容做一個統計上的一個數字我們要出農民地嗎?
transcript.whisperx[174].start 5655.591
transcript.whisperx[174].end 5675.517
transcript.whisperx[174].text 委員這兩件事情因為那個就是大數據那個就是每年我們都要例行要做而且也是歷年都這樣公布謝謝部長部長為什麼本期會提到姓名這件事情其實像我們最近涉案件裡面發生的就是如果本期要請問如果因為改名的話你們在搜尋上是不是在第一線的人員會有一點困擾
transcript.whisperx[175].start 5676.584
transcript.whisperx[175].end 5692.755
transcript.whisperx[175].text 我們一直改掉之後未來他如果曾經犯過一些需要搜尋他比較困難比如說是什麼目的如果以針對第一時間的第一線執行的村里幹事來講他對村里新金人院的掌握度啊
transcript.whisperx[176].start 5695.538
transcript.whisperx[176].end 5718.49
transcript.whisperx[176].text 當然如果他他沒有比如說如果今天是我們警察的話可能狀況不太一樣那那個村議長他拿到的是我們戶政的這個名冊所以當然他就是現在登記最新的一個名字所以跟警察在查案在辦的時候說所以警察在查案第一時間他如果看到名字他會馬上連結嗎還是要必須調查嗎對不對
transcript.whisperx[177].start 5719.991
transcript.whisperx[177].end 5726.297
transcript.whisperx[177].text 依照我們姓名條第15條第2項的規定罪犯在服刑完後的3年內有權利更改姓名
transcript.whisperx[178].start 5741.075
transcript.whisperx[178].end 5766.768
transcript.whisperx[178].text 不想給更生人一個重新的機會本期會支持本事業維持更生人的權利但是像我們最近發生這個虐殺兒童這重大事件的刑案不強大殺人之間本是堅決反對他們的革命在這邊本期強烈建議內政部應該盡速的修改我們姓名條例相關的法律條款並且採取實質的行動來回應我們社會的期待跟關切以上是這個問題
transcript.whisperx[179].start 5770.669
transcript.whisperx[179].end 5799.101
transcript.whisperx[179].text 我想這個尊重委員的這個意見不過如果要修法的話那個可能要有更多的一個討論所以本席要久的一個月內趕快把這些東西提供給我們本委員會知道因為這個事情是很嚴重委員你希望我們提供的是什麼你們的因應措施啊你們做修法這一塊啊剛剛在提到說這個可能要有更多的討論那我們目前行政院或者是內政部我們並沒有這樣的提案
transcript.whisperx[180].start 5800.572
transcript.whisperx[180].end 5821.425
transcript.whisperx[180].text 蕭處長
transcript.whisperx[181].start 5826.735
transcript.whisperx[181].end 5841.93
transcript.whisperx[181].text 蘇長以台東縣目前的預算你扣掉人事成本之後大概還剩多少錢在執行業務上抱歉我沒有掌握到地方政府這邊的一個裁員蘇長台東縣是全台灣第三大的縣市
transcript.whisperx[182].start 5847.754
transcript.whisperx[182].end 5864.302
transcript.whisperx[182].text 臺中縣政府現在目前的統計大概是411人平均一個人就要守護8.5平方公里的面積那特別是現在不管在救護上還是就在火災救護甚至其他的都會需要仰賴我們的消防人員那這邊
transcript.whisperx[183].start 5868.873
transcript.whisperx[183].end 5873.463
transcript.whisperx[183].text 長期的人力不足很容易導致我們臺中消防工作越來越大然後人力運動頻繁
transcript.whisperx[184].start 5875.438
transcript.whisperx[184].end 5898.071
transcript.whisperx[184].text 那這邊本席要要求在我們臺東縣政府是不是能夠圖更多的人力跟資源是感謝委員關心目前我們正在努力的就是擴充我們基層同仁的訓練那訓練人量我們今年預計在明年會遭受一千位所以只要臺東縣政府提出人力需求
transcript.whisperx[185].start 5899.211
transcript.whisperx[185].end 5923.58
transcript.whisperx[185].text 我們可以來全部來協助臺東縣來協助這方面人的擴充當然臺東縣事實上他對逸銷跟民力掌握得非常好我想委員對於臺東非常了解我們對臺東逸銷民力救援團隊我們的全力來跟他們做協助那同時花東基金這個部分我們投注很多的經費包包括特種經費的運作這個會合我可以跟詳細跟委員做一個報告
transcript.whisperx[186].start 5925.902
transcript.whisperx[186].end 5946.001
transcript.whisperx[186].text 謝謝署長的承諾我想臺灣一個國家不能因為區域性發展不同而有不同的待遇不能因為貧窮限制偏鄉的發展我想這個我們沒有知道這個地方需要更多人也希望我們消防部會我們警政署我們消防署能夠趕快投入來協助我們地方的人力那這邊也謝謝我們署長的承諾謝謝署長感謝委員
transcript.whisperx[187].start 5952.233
transcript.whisperx[187].end 5954.756
transcript.whisperx[187].text 台中縣目前有的社會住宅是海濱豪室、寶山豪室、仁豪豪室總戶數是485戶
transcript.whisperx[188].start 5970.075
transcript.whisperx[188].end 5970.815
transcript.whisperx[188].text 國土管理署署長吳署長
transcript.whisperx[189].start 6000.317
transcript.whisperx[189].end 6023.366
transcript.whisperx[189].text 感謝因為我們當然在第一階段臺東設定的目標是300戶那所以現在3處當然是夠那我想大概委員的建議就是我們會再列到第二階段我們現在已經在進入第二階段的一個總體評估那會再考慮在不管是透過現在的還是包租代管那這我們都會整體再來檢討看看還有沒有增加的可能性因為臺東畢竟服務員
transcript.whisperx[190].start 6025.327
transcript.whisperx[190].end 6025.508
transcript.whisperx[190].text 休息5分鐘繼續開會謝謝
transcript.whisperx[191].start 6060.582
transcript.whisperx[191].end 6061.462
transcript.whisperx[191].text 委員會主席
transcript.whisperx[192].start 6063.626
transcript.whisperx[192].end 6087.602
transcript.whisperx[192].text 議員會議員會議員會議
transcript.whisperx[193].start 6087.602
transcript.whisperx[193].end 6102.278
transcript.whisperx[193].text 議員會議員會議
transcript.whisperx[194].start 6103.772
transcript.whisperx[194].end 6104.152
transcript.whisperx[194].text 委員會主席
transcript.whisperx[195].start 6140.111
transcript.whisperx[195].end 6162.892
transcript.whisperx[195].text 議員議員議員議員
transcript.whisperx[196].start 6163.797
transcript.whisperx[196].end 6187.176
transcript.whisperx[196].text 議員議員議員議員
transcript.whisperx[197].start 6189.117
transcript.whisperx[197].end 6192.2
transcript.whisperx[197].text 委員會委員會委員會
transcript.whisperx[198].start 6216.439
transcript.whisperx[198].end 6216.759
transcript.whisperx[198].text 委員會主席
transcript.whisperx[199].start 6233.44
transcript.whisperx[199].end 6235.541
transcript.whisperx[199].text 委員會委員會委員會
transcript.whisperx[200].start 6260.62
transcript.whisperx[200].end 6265.969
transcript.whisperx[200].text 委員會委員會委員會
transcript.whisperx[201].start 6275.367
transcript.whisperx[201].end 6305.367
transcript.whisperx[201].text 議員會議員會議
transcript.whisperx[202].start 6305.367
transcript.whisperx[202].end 6335.247
transcript.whisperx[202].text 議員會議員會議員會議員會議
transcript.whisperx[203].start 6335.247
transcript.whisperx[203].end 6353.899
transcript.whisperx[203].text 議員會議員會議
transcript.whisperx[204].start 6360.912
transcript.whisperx[204].end 6365.638
transcript.whisperx[204].text 委員會委員會委員會
transcript.whisperx[205].start 6385.725
transcript.whisperx[205].end 6405.312
transcript.whisperx[205].text 委員會主席委員會主席
transcript.whisperx[206].start 6421.476
transcript.whisperx[206].end 6443.695
transcript.whisperx[206].text 議員會議員會議員會議
transcript.whisperx[207].start 6446.527
transcript.whisperx[207].end 6472.705
transcript.whisperx[207].text 議員議員議員議員
transcript.whisperx[208].start 6475.145
transcript.whisperx[208].end 6496.954
transcript.whisperx[208].text 議員議員議員議員
transcript.whisperx[209].start 6501.323
transcript.whisperx[209].end 6522.602
transcript.whisperx[209].text 議員會議員會議
transcript.whisperx[210].start 6522.602
transcript.whisperx[210].end 6539.701
transcript.whisperx[210].text 議員會議員議員會議
transcript.whisperx[211].start 6539.701
transcript.whisperx[211].end 6558.131
transcript.whisperx[211].text 議員議員議員議員
transcript.whisperx[212].start 6558.131
transcript.whisperx[212].end 6575.282
transcript.whisperx[212].text 議員會議員會議員會議
transcript.whisperx[213].start 6576.763
transcript.whisperx[213].end 6592.91
transcript.whisperx[213].text 委員會主席委員會主席
transcript.whisperx[214].start 6597.312
transcript.whisperx[214].end 6614.531
transcript.whisperx[214].text 議員會議員會議
transcript.whisperx[215].start 6626.687
transcript.whisperx[215].end 6627.308
transcript.whisperx[215].text 徐欣盈委員
transcript.whisperx[216].start 6654.324
transcript.whisperx[216].end 6680.424
transcript.whisperx[216].text 委員長部長剛剛徐宇貞委員有詢問到數位身份證的問題那本席要再次確認所以現在我們內政部是決定不推了還是您說的暫緩不是內政部決定這個是行政院的政策暫緩內政部是執行單位那現在是暫緩暫緩的過程有沒有任何的努力
transcript.whisperx[217].start 6681.688
transcript.whisperx[217].end 6708.005
transcript.whisperx[217].text 你暫緩就回家睡覺去了嗎?暫緩的過程當然有做努力剛剛提到有兩個部分這是在院的層級第一個是專責的單位第二個是這個各支法當然這個是其他部會所主責那我們的部分就是在已經既有的這個結果之下比如說剛剛在講要進行補償的我們要進行協調另外就是
transcript.whisperx[218].start 6708.745
transcript.whisperx[218].end 6731.015
transcript.whisperx[218].text 已經採購的相關的一個機器設備還有包括我們一直花每年花6000多萬在維護嘛對不對那個是必須要確保它對的既然必須要確保而且部長你也知道每年這樣花費那過去又已經花了十幾億這樣子在進行沒有十幾億也將近10億嘛那所以在這種情況下
transcript.whisperx[219].start 6732.256
transcript.whisperx[219].end 6747.364
transcript.whisperx[219].text 因為那個中央印製廠那部分其實是應該要扣掉因為那個是我們委員會的重複刪因為再怎麼樣數位身份證也是在內政部那部長您知道現在世界各國有多少國家已經在用數位身份證了嗎你知不知道
transcript.whisperx[220].start 6749.754
transcript.whisperx[220].end 6753.618
transcript.whisperx[220].text 內政部的報告就寫82%目前已經有使用數位身份證晶片的國家就有82%預計到2021年底
transcript.whisperx[221].start 6771.394
transcript.whisperx[221].end 6771.894
transcript.whisperx[221].text 等下我先講
transcript.whisperx[222].start 6797.683
transcript.whisperx[222].end 6817.594
transcript.whisperx[222].text 民眾有疑慮台灣的科技不輸人我們是科技出身台灣的科技不輸人為什麼世界各國都可以用了我們台灣不行這就表示我們台灣的政府現在的執政黨就是無能然後這個執政無能浪費公帑
transcript.whisperx[223].start 6819.055
transcript.whisperx[223].end 6839.088
transcript.whisperx[223].text 現在又沒有任何期程你內政部長講不出來我們接下來我們暫停暫緩有餘率暫緩可以我們應該加速啊我們應該加速我在科技上我們來讓民眾可以認同還有我們科技我們在資安上來加強世界各國做得到
transcript.whisperx[224].start 6839.628
transcript.whisperx[224].end 6868.118
transcript.whisperx[224].text 台灣政府做不到這就是一個大笑話所以本席希望我們內政部竟然是尤其護政司這個身份證就是護政司我們應該要盡快的您在行政院院會也要提出來甚至行政院每給期程你都應該要給出期程你都應該要求我們要有期程現在暫停了那麼久怎麼可能每年我還一直在養機器
transcript.whisperx[225].start 6869.258
transcript.whisperx[225].end 6884.202
transcript.whisperx[225].text 等你到你真正要用的時候我機器又要重新開換了因為又過了現在已經過那麼多年了所以我們對這件事非常在意那我們全民對於這樣的一個花費沒有成果也非常在意
transcript.whisperx[226].start 6885.743
transcript.whisperx[226].end 6909.697
transcript.whisperx[226].text 你可以先向全國人民道歉你欠全國人民一個道歉這個不管你的賠償給這個中央印製局到底合不合理或者是你過去的花費有任何的理由我們現在花了那麼多錢都沒有這個成果而且還一直拖延我們希望今天質詢之後那可以加速進行
transcript.whisperx[227].start 6910.638
transcript.whisperx[227].end 6928.911
transcript.whisperx[227].text 世界各國可以我們臺灣一定可以臺灣的科技一定領先全世界謝謝委員謝謝你的指教不過這個資訊上可能有一些落差第一個剛剛在講82%它並不是全部都是數位身份證它是數位證件包括像這個數位晶片
transcript.whisperx[228].start 6932.353
transcript.whisperx[228].end 6932.714
transcript.whisperx[228].text 政府﹗
transcript.whisperx[229].start 6954.335
transcript.whisperx[229].end 6955.736
transcript.whisperx[229].text 我們部已經出去現在正在國發會
transcript.whisperx[230].start 6978.123
transcript.whisperx[230].end 6990.588
transcript.whisperx[230].text 現在在行政院所以你內政部得出去好我們希望可以盡快看到那再來就是本席想請署長請這個警政署長請警政署長請警政署長好
transcript.whisperx[231].start 6995.902
transcript.whisperx[231].end 7019.504
transcript.whisperx[231].text 部長、署長我想請教兩位你們知不知道我們縣市的基層警員有多重身份部長您還做過市長基隆市長我們現在的基層警員非常的辛苦他們多重身份他要取締噪音的汽機車列入縣校檢討所以我們的警察呢成為了
transcript.whisperx[232].start 7020.164
transcript.whisperx[232].end 7035.77
transcript.whisperx[232].text 環保的稽查人員環保局的稽查人員這第一個第二個天氣冷要宣導防範寒流天氣熱要宣導那個小心中暑所以還要跟民眾合照宣導期還要每天回報建樹
transcript.whisperx[233].start 7036.79
transcript.whisperx[233].end 7050.654
transcript.whisperx[233].text 所以我們警察也成為了衛生局的員工再來春節期間還要發放救濟物資給弱勢家庭所以我們的警察也成為了社會局的員工再來我們的警察還要勘查防空避難所還成了公務局的員工
transcript.whisperx[234].start 7060.037
transcript.whisperx[234].end 7068.999
transcript.whisperx[234].text 派出所還成為司法文書掛號性的免費存放地所以我們的警察還要變成郵局的員工
transcript.whisperx[235].start 7070.509
transcript.whisperx[235].end 7092.051
transcript.whisperx[235].text 部長、署長警力有限但是非警勤務是無限你們造成非警勤務無限我們的警察應該是要維護治安打擊犯罪還有維護我們的交通秩序為什麼他們有那麼多重身份我們上級單位不僅沒有替我們警察
transcript.whisperx[236].start 7093.012
transcript.whisperx[236].end 7110.201
transcript.whisperx[236].text 提取他們的辛勞爭取福利還增加這麼多非本業的工作所以可不可以請警政署回去盤點所有派出所的非警勤務提出具體的改進作為一個月內送本院內政委員會
transcript.whisperx[237].start 7112.175
transcript.whisperx[237].end 7128.047
transcript.whisperx[237].text 委員其實這也是回應民意的期待 很多民意代表反映 所以警察才有這麼多工作所以您知道嘛 所以是不是可以回去檢討 而且一個月內送給我們內政委員會是當然沒有問題 不過這裡面委員列的其實也有一些是法定的我們的工作
transcript.whisperx[238].start 7129.548
transcript.whisperx[238].end 7153.361
transcript.whisperx[238].text 最後因為本席今天也有提案我們海巡不好意思接下來也是警察警政署我們海巡跟警察車牌辨識系統的借街建制主席我最後一題這個借街好像海巡署提出因為我們查緝販毒你從港口查到陸地
transcript.whisperx[239].start 7154.321
transcript.whisperx[239].end 7165.501
transcript.whisperx[239].text 那到了市區我們要借接這個車牌辨識系統好像警政署一個海巡署一個警政署署長為難署長那這個情況是怎麼回事
transcript.whisperx[240].start 7168.326
transcript.whisperx[240].end 7178.593
transcript.whisperx[240].text 我現在就是要跟海巡署借街的情況為什麼我們警政署有意見大家共同打極犯罪所以我們請海巡署在請函給那個主管機關做函式如果函式沒有問題就是各自沒有問題的話那本席就說了
transcript.whisperx[241].start 7198.528
transcript.whisperx[241].end 7220.947
transcript.whisperx[241].text 這個韓市從去年的10月向李警政署正式申請一直都還沒有得到回覆到上個禮拜五傍晚本席這邊關切各支法的主管現在國發會要國發會他們解釋說OK沒問題那就可以來後續推動
transcript.whisperx[242].start 7223.12
transcript.whisperx[242].end 7249.251
transcript.whisperx[242].text 所以你們警政署完全可以配合這個還有一個問題我補充一下因為這個建制是縣市政府警察局所建制的所以還要在縣市政府這邊這一關在普遍同意以後這個問題就沒有問題了那你們警政署就應該整合啊我覺得委員的質詢是有道理的我覺得署長跟其他的國發會也好地方政府也好你們應該趕快嫁接起來
transcript.whisperx[243].start 7251.092
transcript.whisperx[243].end 7270.828
transcript.whisperx[243].text 因為我們海巡弟兄我很多其實都是軍警退過去的照理說你們是一家人啊對不對所以呢你必須要有這個剛剛委員有他有一個臨時提案他希望一個月之內你們可以趕快處理吧好不好你不要各施其職啦竟然警政署原則同意我知道程序上的一個流程要完成請聽主席講完
transcript.whisperx[244].start 7274.991
transcript.whisperx[244].end 7275.051
transcript.whisperx[244].text 繼續我們請黃婕委員來質詢謝謝
transcript.whisperx[245].start 7312.261
transcript.whisperx[245].end 7313.802
transcript.whisperx[245].text 好是主席我們請內政部長請您部長
transcript.whisperx[246].start 7321.705
transcript.whisperx[246].end 7334.624
transcript.whisperx[246].text 首先我想請教這個社會住宅的部分因為其實我身邊有非常多的跟我年紀差不多的青年朋友大家都非常關心現在到底社會住宅蓋的怎麼樣我們到底居住權的落實如何
transcript.whisperx[247].start 7338.63
transcript.whisperx[247].end 7350.765
transcript.whisperx[247].text 從2016一六年其實當時的秀宅大概只有七千兩百戶但是到了二零二三年現在已經快十二萬戶了當然加上準備要興建的總共二十萬戶其實是漲了非常非常多倍
transcript.whisperx[248].start 7351.706
transcript.whisperx[248].end 7375.015
transcript.whisperx[248].text 我非常肯定在我們這8年裡面做收購住宅做得非常用心其實過去我們也修了住宅法2016年馬上上任之後就修住宅法讓中央能夠開始協助地方來做這些住宅的興建包括土地的取得包括照顧弱勢等等後續其實也修了平均地權條例然後擴大租金的補助
transcript.whisperx[249].start 7376.876
transcript.whisperx[249].end 7404.111
transcript.whisperx[249].text 來修正這個租賃的專法以及房地和一稅還有實價登錄2.0等等那這其實是我們過去這8年在這些居住正義上面的努力我要先予以肯定那只是說現在社宅蓋得越來越多啊大家就會討論說那這個租金怎麼樣那入住的條件怎麼樣所以我也希望跟部長來討論這些更細節更具體的部分讓青年朋友知道說接下來我想要申請
transcript.whisperx[250].start 7404.631
transcript.whisperx[250].end 7408.753
transcript.whisperx[250].text 內政部的租金其實是用市價打八折的方式那其實沒有更細的去訂定所謂的分級收費制度可是我知道內政部的上個月其實跟各縣市有開會
transcript.whisperx[251].start 7427.74
transcript.whisperx[251].end 7442.749
transcript.whisperx[251].text 就是說我們還是要用維持這個市價打八折的方式那其實現在台灣有一些縣市有開始進行到這個分級收費的制度我想要請教的是我們內政部有考慮要做嗎?如果沒有是為什麼?
transcript.whisperx[252].start 7445.746
transcript.whisperx[252].end 7463.094
transcript.whisperx[252].text 謝謝委員的指教目前有用所謂所得收入來分級資物金的大概有三個城市第一個是臺北跟桃園另外新北的話是在上個月他們才要開始做
transcript.whisperx[253].start 7465.555
transcript.whisperx[253].end 7490.229
transcript.whisperx[253].text 不過在這個執行這幾年執行的過程裡面其實也發現了一些問題就是包括比如說在臺北市他的一個實際上運用社宅的這個民眾大概有73%他的所得是在這個中低收入戶或者低收入戶以下但是實際上有這個中低收入戶或者低收入戶身份的只有15%這個落差非常的大
transcript.whisperx[254].start 7490.91
transcript.whisperx[254].end 7506.132
transcript.whisperx[254].text 所以這個是一個蠻大的一個問題也就是說資源會有一些挫折我們目前有新的一個方案就是因為大家關心的是說新的社宅出來之後哇那到時候用新的住進去算會不會更高
transcript.whisperx[255].start 7506.553
transcript.whisperx[255].end 7535.431
transcript.whisperx[255].text 這一點請大家放心因為我們未來新的方案是會新的設宅但是用10年中古屋的這個租金來計算的基準然後另外再加打折那另外打折的折數也比之前在進一步增加還低另外是原本5折的部分會降低到4.5折到3折所以會比之前的租金的一個這個水準還要再更降低這一點請大家放心
transcript.whisperx[256].start 7535.751
transcript.whisperx[256].end 7555.892
transcript.whisperx[256].text 好謝謝部長這就是我想要知道的很感謝現在我們內政部願意再進行這個分級收費的調整啦因為大家真的蠻擔心說如果是照過去這種市價打八折的方式大家不一定能夠負擔得起對因為大家擔心說現在新房子會用新的價錢沒有我們是用10年中古屋來算
transcript.whisperx[257].start 7556.552
transcript.whisperx[257].end 7573.864
transcript.whisperx[257].text 謝謝部長那其實這個因為其實現在大家在說這個其實你剛剛提到那種方案說就是他雖然是用這個低收入戶的身份去報的但是其實他實際上他的收入並不是低收入戶那就是這個落差其實就是一種會有所謂的假窮人出現啦我知道內政部的擔憂可是因為其實現在所得稅的資料我知道你們看這個所得稅資料裡面是可能會用因為他的
transcript.whisperx[258].start 7584.712
transcript.whisperx[258].end 7609.711
transcript.whisperx[258].text 實行業務所得利息收入或者是租賃所得或是產產交易所得的討論的情況導致說這個稅務沒有辦法實質反映他的收入嘛那其實我想要講的是其實有其他的例子例如說長照特別扣除額跟房屋的支出的特別扣除額他都有20%以下的門檻也就是說其實其他的例子來看這個你們還是有辦法去盡量的
transcript.whisperx[259].start 7610.491
transcript.whisperx[259].end 7626.552
transcript.whisperx[259].text 獲得所謂的真的需要協助的這個對象那因為其實社宅他的目的就是說我們的租金補貼要依據他的負擔能力訂定額度所以我希望的是接下來新的這個方案真的有辦法去照顧到能夠照顧到的人
transcript.whisperx[260].start 7628.114
transcript.whisperx[260].end 7651.03
transcript.whisperx[260].text 因為其實我看了一下就是以臺北這個名人社宅的例子這個因見不遠啊臺北名人社宅真的讓人覺得這是一個沒有辦法符合當初我們社宅精神的一個設計因為裡面我看到說他其實若是假設我們的收入一戶他可能低收入只有兩萬多左右可是如果我們國際的可負擔租金的
transcript.whisperx[261].start 7651.71
transcript.whisperx[261].end 7678.566
transcript.whisperx[261].text 的所得比只有30%那其實他的這個負擔所得比是50%到70%也就是說對於弱勢來說他是完全沒有辦法支付的所以我希望說這樣的情況不會在我們中央的社宅裡面出現然後這個更細的分級制度裡面也一定要來訂定所以新的這個方案也希望接下來我們內政部趕快公告然後讓大家知道說我們是真的有辦法去符合這個照顧到弱勢的
transcript.whisperx[262].start 7679.946
transcript.whisperx[262].end 7700.933
transcript.whisperx[262].text 我用20秒跟你回復一下,第一個我非常贊成你剛剛在講的可負擔的這個精神,所以我們在這個新的方案的時候其實將這個負擔率從原本的30%降到20%,所以我們是朝這個方向在努力,當然因為台灣推動社會主義的時間說實在還短,所以我們需要
transcript.whisperx[263].start 7701.613
transcript.whisperx[263].end 7705.474
transcript.whisperx[263].text 獲得的資料確實有很大的問題第三就是所謂的低薪青年還有邊緣戶的一個照顧這部分可能另外要來思考所謂的貧窮線的一個調整
transcript.whisperx[264].start 7722.381
transcript.whisperx[264].end 7751.582
transcript.whisperx[264].text 那這部分需要更大的一個討論跟共識基本上站在我們的部門的角度我們是支持應該要做一些貧窮切的一個調整的一個方向好 謝謝部長其實剛剛說到那個稅制的部分你們可以用其他的社福減核的方式就是說去查他的存款、股票、不動產這些其實都可以用更細的查核方式去減核他是不是符合這個條件好 謝謝部長那居住正義我們一起努力那接下來我們請警政署長
transcript.whisperx[265].start 7752.102
transcript.whisperx[265].end 7779.744
transcript.whisperx[265].text 最後一點時間我想要問一下好因為其實這個基隆的警察衝到NET這件事情從2月1號到現在已經快兩個月了可是基隆的警察還是沒有出來說個清楚我覺得我們警政署在這邊是不是可以給大家清楚的報告據說假設現在警察接到一個報案說房東說有一個租客他的租約到期還沒有搬走那警察到現場去溝通協調但是租客沒有搬走請問警察可以直接對我們而入嗎
transcript.whisperx[266].start 7781.976
transcript.whisperx[266].end 7787.282
transcript.whisperx[266].text 可以嗎?那請問基隆的警察是不是這樣做了?他說他去協助交通處嗎?可以這樣子嗎?他的協助是透盲而入嗎?他第一個去打開門
transcript.whisperx[267].start 7803.999
transcript.whisperx[267].end 7829.629
transcript.whisperx[267].text 他們給我的資料是說不是他們去打開的是由市政府的聘請的所將來打開的這種說法你可以接受嗎署長當然這個後來有提告那檢察官那邊再做一個偵查我覺得署長這邊也要有一個態度不是說讓他們進入自己的司法程序產權建議是一回事但是警察的職權也是一回事我覺得署長在這邊要予以嚴正的譴責並且檢討好嗎好
transcript.whisperx[268].start 7832.19
transcript.whisperx[268].end 7844.213
transcript.whisperx[268].text 這個我們其實協助我們奠定一個原則要立定這個原則來依照這個原則來出情好謝謝好非常謝謝黃姐委員的質詢謝謝也謝謝部長跟署長謝謝繼續我們請牛許廷委員質詢好謝謝主席這個部長有請有請林部長
transcript.whisperx[269].start 7866.81
transcript.whisperx[269].end 7891.571
transcript.whisperx[269].text 部長早安今天這個內政天下第一大部事情很多但沒關係我們今天主要講消防的題目其他的部分我們會用書面的方式再希望內政部好好提供資料這樣可以嗎好那就開始吧今天是318很多人會講這是學運的十週年但是這同時也是美孚倉儲大火的兩週年兩年前的此刻這把大火還在熊熊燃燒
transcript.whisperx[270].start 7892.892
transcript.whisperx[270].end 7893.373
transcript.whisperx[270].text 消防弟兄
transcript.whisperx[271].start 7922.772
transcript.whisperx[271].end 7924.473
transcript.whisperx[271].text 事實上就是整個場所裡面可以燃燒的總量
transcript.whisperx[272].start 7941.155
transcript.whisperx[272].end 7951.266
transcript.whisperx[272].text 對,可以燃燒的,可燃物完全燃燒釋放的熱能嘛,換言之就是易燃,其實簡單來說大概就是易燃程度啦那署長知不知道,就是這個相較於工廠倉儲的火載量大概是一般工廠的幾倍?
transcript.whisperx[273].start 7956.392
transcript.whisperx[273].end 7985.362
transcript.whisperx[273].text 跟委員報告倉儲市場可以放很多東西必須要看放了什麼東西來做處理我想委員關心就是說這裏面設備的一個強化的情形沒錯這個我們等一下再問我先回答這個相較於工廠倉儲的活宅量是工廠的4倍到5倍所以它其實是遙遙領先所以說大家針對我們都講消防消防我們待會會講消防弟兄的這個福利的問題但是我覺得重點是防治防治的東西如果做得好
transcript.whisperx[274].start 7985.922
transcript.whisperx[274].end 8009.933
transcript.whisperx[274].text 相對來講已在救災的成本等等其實就會降下來很多我相信這才是政府需要達成的目的那既然倉儲是活載量的第一名那本期就非常希望針對這件事情來好好來探討那除了活載量之外啊這個我想這一點部長應該就可以回答了從你也做過地方的縣市首長對於產業什麼你也算是了解對不對那這個倉儲物流其實是零售業的所謂的成本單位
transcript.whisperx[275].start 8010.813
transcript.whisperx[275].end 8035.944
transcript.whisperx[275].text 那以部長的認識啦 這個臺灣大部分的倉儲是自有的多還是出租的多?出租的多 絕對是出租的多嘛 對不對那既然它是一個成本單位又是出租的多 其實會造成什麼樣的問題 其實就是我既然蓋這個倉儲不管它是合法的也好違章的也好 我就要降低我的成本簡單快速的去做出租 產業端也會希望我是用一個相對低廉的成本可以拿到
transcript.whisperx[276].start 8036.644
transcript.whisperx[276].end 8036.664
transcript.whisperx[276].text 委員會議員
transcript.whisperx[277].start 8051.718
transcript.whisperx[277].end 8079.878
transcript.whisperx[277].text 自動灑水系統的問題當初最早的時候剛開始有自動灑水的觀念有法規的時候做了韓式但這個韓式其實相對寬鬆你可能站在產業這邊來解釋說我們要有自動堆置的我才要做灑水系統我有一個高度10公尺高我才要做灑水系統結果這個叫上有政策下有對策這相對來講這些產業就是好我就不要做自動的堆置的設施或者是說我就把這個高度我就設定成9米8
transcript.whisperx[278].start 8081.239
transcript.whisperx[278].end 8103.404
transcript.whisperx[278].text 剛剛好就會規避這樣子的一個狀況所以才導致了美孚這場大火的發生即便他過去兩年但我們不追蹤這東西永遠不會改變那好玩的是這場大火發生之後當然大家就檢討檢討之後我們就要現在內政部就取消了這個韓式的適用範圍現在要重研處理那重研處理的時候當然也衍生了很多的問題我們現在就簡單問一下既然都發生這樣的事情了
transcript.whisperx[279].start 8103.684
transcript.whisperx[279].end 8123.897
transcript.whisperx[279].text 我們是不是要針對這樣子相關的消防法規有更清楚的界定而不是只是用含釋的方式去讓大家有解釋的空間部長你覺得你的看法如何我想當然所以其實我們也做了相關的檢討那倉儲的部分預計是在今年上半年會提出工廠的部分在今年下半年至於細節的部分我請蕭主任來做補充
transcript.whisperx[280].start 8125.017
transcript.whisperx[280].end 8144.279
transcript.whisperx[280].text 你還補充嗎?是,感謝委員這個問題就是委員提到的怎麼強化倉儲跟工廠的安全那這個部分在原來的消防設置標準裡面規範的情形並沒有縝密到這麼大的水的負載量所以最近我們整個在檢討
transcript.whisperx[281].start 8146.24
transcript.whisperx[281].end 8169.425
transcript.whisperx[281].text 倉儲部長提到今天上半年會把倉儲裡面怎麼強化它自動滅火系統燒水系統的量這上半年要處理也就即使既有的我們有什麼方法透過科技的方法或者施工的方法來強化它安全這是第一點那另外對工廠的部分我們在下半年會把工廠的部分怎麼做強化那目前也跟經濟部來做強化怎麼輔導協助補助
transcript.whisperx[282].start 8172.265
transcript.whisperx[282].end 8175.146
transcript.whisperx[282].text 剛剛署長已經有講就是灑水包含不只是設施設施的規範還有水量因為美孚大火之後的加熱孚大火那就是水量的問題
transcript.whisperx[283].start 8188.47
transcript.whisperx[283].end 8188.49
transcript.whisperx[283].text 拜訪議員
transcript.whisperx[284].start 8204.941
transcript.whisperx[284].end 8222.271
transcript.whisperx[284].text 第一個規則剛性一點嚴格一點明確一點不要有解釋的空間然後及早界定然後標準不能太低確定的就好好的去執行也許你要給倉促業者一點時間去適應但是該貫徹要貫徹好不好我們至少往這個方向對焦可以嗎好謝謝署長再來我要講一下這個
transcript.whisperx[285].start 8223.912
transcript.whisperx[285].end 8240.006
transcript.whisperx[285].text 消防員的待遇的問題這叫做職務加擠要加成之給我們剛剛有講美孚大火這案子累死我桃園的打火弟兄事實上我桃園打火弟兄一向就是在全國裡面勤務量相對高的一群因為我們是產業重鎮
transcript.whisperx[286].start 8241.167
transcript.whisperx[286].end 8265.996
transcript.whisperx[286].text 那產業重鎮的時候我們當然希望可以給這群辛苦的打火器弟兄更好的待遇所以按照現在的規定我們可以各自家市政府得市所屬消防單位消防情務危險程度自籌經費依下列規定加成加幾新北市台北市可以加一倍也就是從8435加一倍變成16870桃園台中台南高雄可以加7成變成14340那但是
transcript.whisperx[287].start 8270.718
transcript.whisperx[287].end 8284.287
transcript.whisperx[287].text 這個問題是這樣加這樣子的幅度我們認為是違德不足嘛既然要加就加到位加有感所以不只是桃園啦現在新北要 台北要 桃園要我們希望乾脆加好就加好加滿直接加1.5倍也就是直接加到這個21088元啦
transcript.whisperx[288].start 8286.929
transcript.whisperx[288].end 8287.209
transcript.whisperx[288].text 來 請部長說明還是署長
transcript.whisperx[289].start 8317.387
transcript.whisperx[289].end 8337.55
transcript.whisperx[289].text 我請署長做說明是感謝委員垂選桃園市這個部分的爭取我們也針對他的問題他還補充他的一個理由跟說明那同時我們爭取其他六都的意見那最近意見大概回來我們會把整體的意見反映給憲政院來做整個的一個處置就本期的了解現在桃園臺北新北都送上去了嗎
transcript.whisperx[290].start 8337.91
transcript.whisperx[290].end 8351.082
transcript.whisperx[290].text 還有哪些 六都一起檢討是不是南山都還沒有進來南山都的意見我們會遵守他的意見以後你們有沒有抓一個時間表應該最近我們就可以報到議員裡面來做一個踢爆
transcript.whisperx[291].start 8351.853
transcript.whisperx[291].end 8376.404
transcript.whisperx[291].text 這個事情一樣我會後你要把那個詳細的時間表你知道我們知道嘛因為桃園的地方是很希望趕快給桃園的弟兄多好一點的待遇嘛你跟委員報告事實上六度以外還有非六度的問題啦所以這個部分可能會增添了考量跟委員報告這我理解嘛所以我講嘛如果說這筆錢由中央來出對不對那你要全部收集啊綜合判斷綜合考量那就那沒辦法可是既然是縣市自籌的那其實沒有什麼好拖時間的嘛對不對
transcript.whisperx[292].start 8377.905
transcript.whisperx[292].end 8398.559
transcript.whisperx[292].text 所以是不是針對這件事情為什麼卡關預計什麼時候可以有個明確的結果大概的你們額度跟你們決定額度的理由是什麼是不是會後請這個消防組跟內政部提供一個完整的說明好不好我跟委員一句話就好其實最主要的倒不一定在我們這邊齁其實那個採組的單位他們有一些考量
transcript.whisperx[293].start 8399.127
transcript.whisperx[293].end 8415.738
transcript.whisperx[293].text 好沒關係嘛我剛剛講嘛就是說時間表跟可能的考量因為我們負責溝通我們再把資料再送給委員好不好那就麻煩部長了好不好我們希望就是說消防弟兄的權益要重視還有防治的部分要加強今天口頭時間有限我們先談消防好沒有問題那其他的部分我們用書面質詢再請部裡好好回覆可以嗎
transcript.whisperx[294].start 8416.018
transcript.whisperx[294].end 8416.619
transcript.whisperx[294].text 好謝謝好謝謝辛苦了
transcript.whisperx[295].start 8442.217
transcript.whisperx[295].end 8446.5
transcript.whisperx[295].text 主席好各位官員各位委員大家早安大家好是不是請那個部長好我們有請您部長
transcript.whisperx[296].start 8470.976
transcript.whisperx[296].end 8496.926
transcript.whisperx[296].text 市委員好部長早首先要跟你請問一下因為本身我的選區在新北市中和那新北市中和本身他這個地區比較特別他居住了大概40萬的人口在新北市的人數是佔了400萬人口的十分之一而他土地算是非常的小大概佔了新北市整體的土地大概只有百分之一的面積所以是地狹人叢的一個環境
transcript.whisperx[297].start 8499.087
transcript.whisperx[297].end 8522.142
transcript.whisperx[297].text
transcript.whisperx[298].start 8522.542
transcript.whisperx[298].end 8551.726
transcript.whisperx[298].text 第3期的污水下水道接管也要跟部長報告中間已經經過了20年所以很多綜合的鄉親苦不堪言我還記得我小時候我家人都叫我說不要開後門家裡都有後門開了以後那個環境非常的不乾淨然後造成很多的環境衛生或是一些疾病傳染一些問題想這邊請教部長的問題就是說現在我們第3期的污水下水道
transcript.whisperx[299].start 8551.986
transcript.whisperx[299].end 8552.146
transcript.whisperx[299].text 司法部長
transcript.whisperx[300].start 8569.344
transcript.whisperx[300].end 8569.905
transcript.whisperx[300].text 新北市政府正進行
transcript.whisperx[301].start 8583.798
transcript.whisperx[301].end 8604.276
transcript.whisperx[301].text 所以這個期程是新北市政府自己定的那我們中央的部分如果新北市政府依據相關的一個進度需要中央的一個配合款的部分我們就是依進度跟比例來這個來撥付來支持所以這個期程的部分可能要新北市努力一點然後我們會來協助
transcript.whisperx[302].start 8606.057
transcript.whisperx[302].end 8606.217
transcript.whisperx[302].text 主席
transcript.whisperx[303].start 8625.606
transcript.whisperx[303].end 8625.746
transcript.whisperx[303].text 立法院第11屆第1會議
transcript.whisperx[304].start 8648.016
transcript.whisperx[304].end 8662.345
transcript.whisperx[304].text 施作的範圍這麼的奇特是不是中央可以跟地方政府大家協調一下不是說中央政府只出錢然後不去管說地方政府他是如何來去推動因為總不能出錢當冤大頭吧那是不是請部長還是誰可以來回答一下
transcript.whisperx[305].start 8667.194
transcript.whisperx[305].end 8687.839
transcript.whisperx[305].text 感謝委員因為其實我們各起的這個大概都會跟幹線幹線支線的一個分佈狀況還有他那個住戶的分佈密度去做一個推計那所以我想新北市政府可能會這樣做大概會依循這幾個原則那所以他可能把它做一個按照這個住戶的密度還有接管的戶數
transcript.whisperx[306].start 8688.439
transcript.whisperx[306].end 8713.848
transcript.whisperx[306].text 議員會議
transcript.whisperx[307].start 8713.888
transcript.whisperx[307].end 8715.991
transcript.whisperx[307].text 中和第三期第一期的標案跟第三標其實我認為他是可以把它結合在一起的
transcript.whisperx[308].start 8729.873
transcript.whisperx[308].end 8756.273
transcript.whisperx[308].text 因為我們綜合的男視角其實人口非常的密集啊所以我認為做這個污水下水道的CP值會很高所以第一期跟第三期是因為把整個結合在一起來做的話可以讓我們男視角相信可能不要等到五年甚至十年以後才有辦法做這個污水下水道的接管所以我這邊是拜託說第一期跟第三期的部分第一標的部分長的樣子很像打斧頭樣子很奇怪
transcript.whisperx[309].start 8757.054
transcript.whisperx[309].end 8782.019
transcript.whisperx[309].text 所以這邊要拜託部長這邊來協助一下這個也是我們中和市民的心聲當時在我剛跟大家報告在20年前其實在做這個第一期的工程的時候其實當時因為我想不知道為什麼很多的住戶因為他當聽到說家裡要拆房子的時候他們就非常的反彈所以造成了一個叫做沒有辦法實際去施行叫做管線阻礙的一個問題那現在
transcript.whisperx[310].start 8785.16
transcript.whisperx[310].end 8803.952
transcript.whisperx[310].text 已經實施到第三期了第一期其實還有一些鄉親他是沒有做屋水下人要接管的那這個部分中要跟地方要如何去合作來去讓一些過去已經未來不知道如何可以做接管的一些鄉親有一個他的生活環境可以變得更好的方式
transcript.whisperx[311].start 8804.732
transcript.whisperx[311].end 8831.434
transcript.whisperx[311].text 好謝謝委員因為一般來講就是說在我們補助給地方政府的下水道經費裡面我們是請地方政府按照期程來推那其實過程當中或多或少有些民眾當時可能觀念上沒有辦法突破或是執行上有困難他不願意配合接管那事實上在地方政府他會有零星的所謂的一個開口工程那這個大概一般都會由地方政府來執行也就是說他可能每年自己有一些
transcript.whisperx[312].start 8832.435
transcript.whisperx[312].end 8860.505
transcript.whisperx[312].text 有一些開口小型的開口合約因為那個每年的戶數都很少那你們這邊有沒有辦法跟地方政府去了解一下他現在有沒有需要中央來去做協助這我們可以來跟新北市政府了解看看因為正常來講我知道他們自己有開口合約在每年在處理那這個部分可能我們也會把委員的意思轉達給他了解就是說請他能夠積極針對綜合一期二期的部分那有民眾需要用戶接管的這個部分再請他
transcript.whisperx[313].start 8861.586
transcript.whisperx[313].end 8862.287
transcript.whisperx[313].text 開口合約不能主動來洽來洽辦
transcript.whisperx[314].start 8872.788
transcript.whisperx[314].end 8872.928
transcript.whisperx[314].text 委員會議委員會議
transcript.whisperx[315].start 8898.881
transcript.whisperx[315].end 8925.153
transcript.whisperx[315].text 新北市政府來瞭解看是不是有這樣的機會那也可以請委員也可以這個跟市政府這邊來反映我們雙管齊下好謝謝部長那因為時間的關係我來趕快請教一下我關於也是我們選區的一個比較特別的事情就是說因為本身我是在中和中和有一個人非常知名叫華新街他是居住了非常多這個緬甸的華僑很多東南亞的新住民那一直以來其實不管這個
transcript.whisperx[316].start 8926.454
transcript.whisperx[316].end 8950.16
transcript.whisperx[316].text 不管我相信不分黨派不分顏色都對我們臺灣的新住民非常的重視那想請教有關這個部長這邊我們中央的部分是不是有定期來跟這個新住民的議題來做開會那我們有沒有想說要來成立一個新住民委員會那現在如果有的話現在的這個這個時程大概處理到進度大概是如何
transcript.whisperx[317].start 8953.433
transcript.whisperx[317].end 8968.898
transcript.whisperx[317].text 委員那個在行政院的部分有新住民的協調會報這個是在院的層級所以在院的層級開了會議做成的決議各相關部會他就必須依會議的決議下去這個執行跟推動那另外在部的部分也有
transcript.whisperx[318].start 8970.118
transcript.whisperx[318].end 8984.972
transcript.whisperx[318].text 我們當然會希望能夠加強對新住民權益的一個照顧那其實我們也在跟這個院來爭取更多的一個人力跟這個經費支援那有打算要成立新住民委員會嗎?這個不是我的層級可以回答 這個屬於這個院的層級
transcript.whisperx[319].start 8988.695
transcript.whisperx[319].end 9003.32
transcript.whisperx[319].text 那是不是請移民署長來分享一下說比如說我舉例一下就過去到現在而言比如說像我們在地有一些知名的活動那中央的部分有沒有一些協助的幫忙的地方
transcript.whisperx[320].start 9005.886
transcript.whisperx[320].end 9024.762
transcript.whisperx[320].text 跟委員報告在地方的各項活動我們新住民發展基金其實是可以接受申請的那過去的在每年裡面我們都會在地方的各項有關新住民的照顧服務的一些措施
transcript.whisperx[321].start 9026.184
transcript.whisperx[321].end 9043.098
transcript.whisperx[321].text 我們都接受包括中央政府地方政府甚至NGO團體只要他提計劃來我們都會經過我們基金管理會審查以後就會做部分的一些補助好謝謝署長那我今天就到這邊謝謝非常謝謝張主任委員質詢謝謝部長謝謝署長謝謝繼續我們請丁學忠委員質詢
transcript.whisperx[322].start 9059.003
transcript.whisperx[322].end 9062.264
transcript.whisperx[322].text 財務委員我請副長有請林部長副長好副長請問你知道這個憑詐管理條例第21條之一的內容嗎
transcript.whisperx[323].start 9077.397
transcript.whisperx[323].end 9079.598
transcript.whisperx[323].text 這個條例已經實施了17年請問部長有了解各縣市都有執行這個條例嗎?
transcript.whisperx[324].start 9108.542
transcript.whisperx[324].end 9121.498
transcript.whisperx[324].text 他依法的話他就是必須這個提供免費的使用有齁有執行齁是你覺得這個制度是不是很好我想這個既然立法就是大家的一個共識
transcript.whisperx[325].start 9122.786
transcript.whisperx[325].end 9144.473
transcript.whisperx[325].text 有收到那個各縣市的政府反映反映這個政策我想目前實施的狀況應該沒有聽到特別聲音如果委員有聽到相關的意見的話可以反映給我們都受到很多的好評防護這個低收入戶這個大家都很認同是謝謝對啊
transcript.whisperx[326].start 9145.353
transcript.whisperx[326].end 9149.634
transcript.whisperx[326].text 我們全國的低收入戶總共差不多有14萬戶27萬7千多人當我們這個條例通過以後有這些14萬戶27萬多人都有受益如果沒有問題我覺得我們在跑基層的時候時常遇到一些人影
transcript.whisperx[327].start 9171.078
transcript.whisperx[327].end 9173.121
transcript.whisperx[327].text 雖然他的條件他沒有辦法申請低收入戶但是事實證明我們在基層也詢問過地方鄰里一些長輩一些村里長了解一些這個一些一些我們這個人民他們
transcript.whisperx[328].start 9190.862
transcript.whisperx[328].end 9207.696
transcript.whisperx[328].text 一生活方式了解也有其中一部分因為這個條例愛無法申請這個低收入戶他只有可以申請這個中低收入戶因為我們比較我們雲林縣有大部分是比較農村的一個一個鄉鎮他們的收益大部分都是務農來的一些可能是比較長輩
transcript.whisperx[329].start 9220.666
transcript.whisperx[329].end 9244.113
transcript.whisperx[329].text 他們只會列入這個中低收入戶我們運營縣有一個月事慈善會這個月事慈善會針對我們這個低收入戶以及中低收入戶這個艱苦人他們只要有需求他們都會全力協助他們也是集合集結一些攤販大家一起
transcript.whisperx[330].start 9246.934
transcript.whisperx[330].end 9270.957
transcript.whisperx[330].text 共同來做這個公益有聽到他們在反映其實一些中低收入戶他們的的這個收益跟跟一些生活條件其實也是跟那個低收入戶一樣只是礙於這個條例的部分沒有辦法申請到低收入戶我再建議是不是
transcript.whisperx[331].start 9271.697
transcript.whisperx[331].end 9294.217
transcript.whisperx[331].text 我們也把中低收入戶也納入這個21條之一內容一樣免費來使用各縣市的這個殯葬設施這個副長你的看法謝謝委員這個在之前也有人提議過不過沒有形成共識最主要就是這個會增加地方政府很大的財政負擔
transcript.whisperx[332].start 9295.278
transcript.whisperx[332].end 9317.834
transcript.whisperx[332].text 地方政府財政狀況不一所以意見也很多那第二個是因為中低收跟低收它有一個就是我們外部部有一個很清楚的一個界定那另外甚至還有包括像邊緣戶的部分所以現在這部分的一些需求都是由NGO或者明天團體或者善心人士
transcript.whisperx[333].start 9318.775
transcript.whisperx[333].end 9333.372
transcript.whisperx[333].text 來提供這一些公益善心的一個照顧委員的這個建議充滿善心我想我們這個也知道委員的一個意見不過這個是不是還進一步擬聚公司因為這個畢竟需要修法
transcript.whisperx[334].start 9335.353
transcript.whisperx[334].end 9356.186
transcript.whisperx[334].text 對,這個我是覺得啦其他縣市我不知道以我們雲林縣來看我們剛剛我說的一些沒有犯法符合到低收入戶這個中低收入戶的一些資格一些人民也很多在我們中低收入戶在全國是有10萬戶28萬人有28萬人
transcript.whisperx[335].start 9360.729
transcript.whisperx[335].end 9373.719
transcript.whisperx[335].text 如果我們部長可以大家一起共同來協助我們這些中低收入戶我覺得可以確實的幫助到我們這些比較貧窮窮苦的一些人民
transcript.whisperx[336].start 9377.281
transcript.whisperx[336].end 9390.608
transcript.whisperx[336].text 我想政府都希望能夠照顧這個更多的人那剛剛委員的這個意見我們會來盡量的整合各縣市政府大家的這個不同的意見這個部分我們也會經過正式提案先讓我們部長先了解一下
transcript.whisperx[337].start 9400.513
transcript.whisperx[337].end 9425.272
transcript.whisperx[337].text 對阿阿如果內容有什麼問題可以大致大家協議一下齁阿盡量來幫助我們這個中低收入戶因為這個在基層阿我是基層的民意代表出身齁真的很了解基層真的那個辛苦人很多是真的齁阿這個部分再麻煩一下部長齁阿剛剛有在說到我們這個
transcript.whisperx[338].start 9430.036
transcript.whisperx[338].end 9451.073
transcript.whisperx[338].text 我也是雲林縣預銷副大隊長我覺得我們雲林縣消防弟兄大家都是很認真除了警消預銷他們配合在災害發生的時候
transcript.whisperx[339].start 9451.653
transcript.whisperx[339].end 9477.655
transcript.whisperx[339].text 他們都非常積極衝鋒陷陣闖入災區在拯救我們人民我要請教那個部長因為我們警消的部分已經是列為公務人員公務人員在疫消的部分各位疫消人員他們都是士農工商的群組大家組成的一個團體大家會共同為我們消防的部分
transcript.whisperx[340].start 9478.976
transcript.whisperx[340].end 9493.867
transcript.whisperx[340].text 同行協力來協助我們減銷來做救災的部分我要請問說他們目前他們沒有那個薪資也沒有什麼對他們人身有法上的這個機制嗎?你是說基金?機制對他們人身安全法上的機制
transcript.whisperx[341].start 9506.245
transcript.whisperx[341].end 9523.095
transcript.whisperx[341].text 保險是有的,不過委員跟你報告我們目前正在思考擬定我們疫消的整體災防能力的提升所以未來現在疫消其實是做得還蠻不錯的,你也是副大隊長
transcript.whisperx[342].start 9524.376
transcript.whisperx[342].end 9546.244
transcript.whisperx[342].text 我們未來就是希望逸霄能夠接受的訓練要比照錦霄他們都有訓練現在的訓練其實還不是百分之百未來如果是百分之百比照錦霄的話未來甚至是可以給一個正式的認證
transcript.whisperx[343].start 9547.785
transcript.whisperx[343].end 9570.343
transcript.whisperx[343].text 那他等於就是具備性國外消防系會有消防人員的資格?我很多次都到火場現場去看他們救災的狀況其實以他們的專業已經不遜於我們的警消人員他們的勇氣衝入火海的勇氣也不遜於一般人
transcript.whisperx[344].start 9571.664
transcript.whisperx[344].end 9593.688
transcript.whisperx[344].text 是不是對我們預銷未來的一些服務力安全的一個機制還有我相信裝備上我相信內政部這邊已經處理到很到位了是的現在我們正在整體規劃一個預銷的整體量能還有他專業能力的提升的一個中程計劃包括裝備的部分
transcript.whisperx[345].start 9594.489
transcript.whisperx[345].end 9610.724
transcript.whisperx[345].text 大部分我們義消都有辦一些聯誼他們聯誼都是由那個顧問自己籌措經費來協助的我也希望我們內政部也編列一些預算給我們義消人員當作是一個鼓勵這樣好不好我們整體來考量好就麻煩副長謝謝
transcript.whisperx[346].start 9616.411
transcript.whisperx[346].end 9639.418
transcript.whisperx[346].text 好,非常謝謝丁雪忠委員的質詢也謝謝部長跟署長繼續我們請李博益委員質詢因為這個吳祁銘召委跟莊惠雄委員兩個交換所以呢我們請博益委員質詢結束之後呢我們處理臨時提案好幹事長你休息一下我看你很喘好謝謝請李博益委員
transcript.whisperx[347].start 9647.984
transcript.whisperx[347].end 9663.522
transcript.whisperx[347].text 謝謝我們請內政部林部長還有請接下來請警政署那警政署的議題之後再請國土管理署我們請部長以及兩位署長一起上台謝謝部長我們有聯絡方式嘛你有沒有我的email
transcript.whisperx[348].start 9670.496
transcript.whisperx[348].end 9684.102
transcript.whisperx[348].text 禮拜六禮拜六我收到的來你的家庭地址我已經調查清楚請你在Facebook公開發帖會退出民進黨7天內退黨否則你全家會成為刀下亡魂來署長黃署長
transcript.whisperx[349].start 9685.689
transcript.whisperx[349].end 9708.143
transcript.whisperx[349].text 相關類似的這些恐嚇的郵件請問本會的立委有多少位收到了還有多少位沒有收到目前警政署所受理的委員的部分這一件還沒受理啦當天我就覺得太多了目前已經有15件16人昨天黃婕委員在花蓮演講算不算
transcript.whisperx[350].start 9709.96
transcript.whisperx[350].end 9738.008
transcript.whisperx[350].text 昨天黃婕委員在花蓮演講那算不算也是在恐嚇委員是也有受理啦黃婕委員這件有受理那署長我請問你齁我們當然都知道這些是恐嚇我們當然也都覺得這可能都來自境外但是我們希望警政署可以在第一時間有一個很清楚的說明而不是說啊這個我們要調查他的來源啊那等等的我們也有家人欸
transcript.whisperx[351].start 9738.988
transcript.whisperx[351].end 9756.511
transcript.whisperx[351].text 我不報案不代表我的家人不會害怕所以說你要趕快讓我們所有社會大眾可以很快很清楚的了解這些相關的內容到底是怎樣來 署長可不可以趕快做一個明確的說明不是在這裡說明
transcript.whisperx[352].start 9757.472
transcript.whisperx[352].end 9781.99
transcript.whisperx[352].text 未來遇到相關類似的案件的話我們要怎麼樣處理因為我在選舉期間我也不斷的整整一個月都被恐嚇啊整整一個月這個恐嚇信件還跟我對話欸所以我們要怎麼樣趕快讓社會大眾知道這個案件知道這類型的案件知道我們警政署怎麼樣因應讓社會大眾知道來之境外他們的目的是什麼就是認知作戰來署長
transcript.whisperx[353].start 9783.191
transcript.whisperx[353].end 9811.38
transcript.whisperx[353].text 這個我們可以來這樣做就是說如果偵查出來是在境外或者是哪一個國家跳板偵查出來要多久會知道在境外這個一般大概幾個小時就可以幾個小時好到底他的IP是在哪個國家落點好謝謝署長署長您請回內政部其實掌管非常的多那我想要先就這個現在最夯的住宅的問題那我的選區左營男子迎接到
transcript.whisperx[354].start 9812.881
transcript.whisperx[354].end 9840.279
transcript.whisperx[354].text 明年這個台積電就要進駐那台積電進駐之後一千五百個以上的工程師加上周邊的這些就業產業會有非常大量的人口移入目前在這個月 署長 這個月喔高雄臨近左營兩區的預售屋 超過一千戶你知道嗎 都是三天clean 三天完銷
transcript.whisperx[355].start 9841.787
transcript.whisperx[355].end 9869.538
transcript.whisperx[355].text 臨近左營的兩個這個預售都是3天完銷住宅需求非常的大那所以呢 高雄市跟我們住屋中心合作在左營跟楠梓就有4個加上仁武就有4個這個社宅的興建但是社宅的興建跟台積電的這個建廠社宅興建完成跟台積電的這個設廠其實搭不起來
transcript.whisperx[356].start 9870.738
transcript.whisperx[356].end 9888.82
transcript.whisperx[356].text 也就是說短期內會有大量的住宅的需求所以你看到這些預售屋飆漲不只飆漲預售屋也是很快的速度內就去化我們會需要很大量的租金補貼等等的
transcript.whisperx[357].start 9889.625
transcript.whisperx[357].end 9900.662
transcript.whisperx[357].text 目前我們從內政部的報告裡面去年度開始申請租金補貼的這些戶數全台灣一共43萬戶那這43萬戶裡面
transcript.whisperx[358].start 9904.989
transcript.whisperx[358].end 9933.504
transcript.whisperx[358].text 我想有很多是沒有辦法出來申請的這原因包含什麼?原因包含害怕如果申請之後房東就可能我就要請你離開不要租了那這些人要住哪裡?我當然知道我們內政部也有對這個房東有祭出罰則如果你因為這樣拒絕房客來申請可能可以罰3到30萬等但是房客最害怕的
transcript.whisperx[359].start 9934.204
transcript.whisperx[359].end 9956.984
transcript.whisperx[359].text 房東被罰錢他不怕房客最害怕的是他真的被趕出去如果在這段時間真的被趕出去我希望我們國土署這邊我們內政部這邊好好來演繹這個問題讓所有的租客可以安心的來申請租屋補貼來 署長相關的安置的內容你可不可以先來回應
transcript.whisperx[360].start 9961.583
transcript.whisperx[360].end 9989.318
transcript.whisperx[360].text 非常謝謝委員的指教那我們現在在我們已經在跟法服中心建立一個法律諮詢服務的一個平台我們預計在今年的上半年基本上把它建置完畢那下半年的時候可以上路這個就是可以提供這個不管是房東還是房客如果他有遇到這樣糾紛的時候可以採取一個法律保障的一個作為
transcript.whisperx[361].start 9989.798
transcript.whisperx[361].end 10007.69
transcript.whisperx[361].text 沒有沒有糾紛啊這也不是法律保障部長這個很清楚就是說如果房客去來跟縣市政府申請租屋補貼租屋補貼之後他如果3個月內被房東掃地出門政府要有什麼措施來安置這個被掃地出門的他是被你鼓勵嘛
transcript.whisperx[362].start 10008.57
transcript.whisperx[362].end 10008.65
transcript.whisperx[362].text 最後﹗
transcript.whisperx[363].start 10032.603
transcript.whisperx[363].end 10060.208
transcript.whisperx[363].text 去年12月內政部通過推動住宅成果提升社會住宅用地的經濟措施裏面希望在2025到2032你還是設到明年開始縣市政府的這個勢力重劃底費地可以提撥5%來作為社宅的用地目前所有這些底費地的標售都超過他的成本我建議內政部
transcript.whisperx[364].start 10061.528
transcript.whisperx[364].end 10068.457
transcript.whisperx[364].text 台中市政府如果要再拿出來飆售的時候 內政部你去飆你去飆
transcript.whisperx[365].start 10070.047
transcript.whisperx[365].end 10093.13
transcript.whisperx[365].text 來作為社會住宅人民會站在內政部這一邊還是站在市場這一邊我想希望這個國土署也就這一方面來做一個表態我來不及讓你回答因為還有一個地方的議題希望國土署這邊趕快來處理就是高雄橋頭科學園區目前設置的進度他緊接著台積電之後
transcript.whisperx[366].start 10094.071
transcript.whisperx[366].end 10113.677
transcript.whisperx[366].text 那目前他從這個計畫大陸的開闢跟廠商選址是同一個時段也就是現在其實廠商選址之外廠商其實可以進去開始建廠為什麼都還沒有進去因為進不去所以我希望國務署跟高雄市政府這邊可以趕快的來配合讓廠商可以進去選址之外呢他
transcript.whisperx[367].start 10114.617
transcript.whisperx[367].end 10114.637
transcript.whisperx[367].text 來 署長
transcript.whisperx[368].start 10143.154
transcript.whisperx[368].end 10164.993
transcript.whisperx[368].text 首先是我們在明年提的這個計畫裡面是直接會針對地方政府他如果土地是可以專案讓售給中央的話那我們直接來協商沒有啦我的意思是說你直接去跟他標啦因為我們大概現在還不能但是專案讓售的話我們當然是希望拿成本來標嘛對不對這樣才對真正的市民是有利的啊不是已經重劃之後的價錢啊對啊
transcript.whisperx[369].start 10166.454
transcript.whisperx[369].end 10166.934
transcript.whisperx[369].text 我們現在處理臨時提案總共有7案請宣讀
transcript.whisperx[370].start 10201.943
transcript.whisperx[370].end 10225.844
transcript.whisperx[370].text 主席請教一下主席也宣告了10點以後10點以前截止那現在變成7案了本來不是只有4案嗎那是不是也另外3案是不是我看那個內容裏面可能大家再討論一下是不是今天先處理前面這4案
transcript.whisperx[371].start 10226.224
transcript.whisperx[371].end 10247.733
transcript.whisperx[371].text 是這樣子剛剛那個提案來的時候因為只有3分鐘嘛那我也接受了然後以後我有交代議事處人員未來這個各黨團如果在3分鐘內提出來的我們也都接受好不好好啦不好意思好謝謝您謝謝好我們先謝謝我們以後都比照辦理感謝來我們現在來選獨立案
transcript.whisperx[372].start 10250.867
transcript.whisperx[372].end 10279.188
transcript.whisperx[372].text 臨時提案第一案有鑒於內政部於數位身份證推動過程中為針對社會諸多疑慮如資安問題數據隱私效益不明顯等等進行政策溝通且帶墮訂定專法先招標再開會使專家淪為橡皮圖章前見種種使立法院朝野一致沒有委員支持該案導致巨額賠償費用原提案要求內政部對全案提出檢討與未來政策方向報告於一個月內送本月內政委員會提案人委員徐新寧等三人
transcript.whisperx[373].start 10280.131
transcript.whisperx[373].end 10298.986
transcript.whisperx[373].text 第二案有鑒於執法機關應共同合作打擊不法查海巡署於112年10月12日向內政部警政署申請借鑒測量辨識系統內政部警政署於同年12月29日以涉及各資法請海巡署盡洽各資法主管機關事宜後再行評估審酌借鑒海巡署業於113年1月11日涵發個人資料保護委員會籌備出函式至至今5個月人為
transcript.whisperx[374].start 10304.87
transcript.whisperx[374].end 10316.364
transcript.whisperx[374].text 完成系統借接原提案要求內政部對全案提出檢討報告於一個月內送本月內政委員會提案人委員徐新穎等3人第三案建於台東縣面積3,515.25平方公里占台灣面積9.78%是台灣第三大縣
transcript.whisperx[375].start 10323.172
transcript.whisperx[375].end 10338.345
transcript.whisperx[375].text 就臺東縣113年度附屬單位預算臺東縣消防人員預算緣額僅411人平均一個人負責守護8.5平方公里參照臺東縣消防局2023年救災防護及其他案件類統計火災救護及載送等相關案件總計近26700
transcript.whisperx[376].start 10342.792
transcript.whisperx[376].end 10357.889
transcript.whisperx[376].text 719在加上臺東幅員遼闊以及城鄉社區距離較長長期人力不足下導致臺東消防救護工作壓力極大因此人員異動頻繁據臺東縣政府推估臺東縣需要之消防人力約738人仍有372人的巨大缺口
transcript.whisperx[377].start 10358.71
transcript.whisperx[377].end 10371.487
transcript.whisperx[377].text 黃建斌委員提案要求內政部於一個月內就協助增加臺東縣消防人力與設備資源擬具相關規劃案以維護臺東縣消防環境與人民生命財產安全提案人委員黃建斌等3人
transcript.whisperx[378].start 10372.423
transcript.whisperx[378].end 10387.234
transcript.whisperx[378].text 第4案建於數位身分證換發政策失當契約暫停執行衍生增加費用與內政部在規劃案及管理專法尚未完成前及就章將案件發包給廠商印製驗證建制系統最終因政府政策不透明評估小組輪圍相比圖章學者專家名帶抗議專業被踐踏以及資安及隱私權被侵害風險未解相關運算被本院凍結最後計劃被行政院終止
transcript.whisperx[379].start 10398.942
transcript.whisperx[379].end 10412.916
transcript.whisperx[379].text 得標廠商域履約卻因計劃中止而被暫停執行.因而向政府求償.審計部對此亦含請行政院研謀妥善處理之策.緊速確立新式身份證混發政策.以降低契約暫停執行所產生之不經濟支出
transcript.whisperx[380].start 10415.999
transcript.whisperx[380].end 10424.146
transcript.whisperx[380].text 今年本院委員已多次對此問題提出質詢:內政部期間無法說明清楚政府因內政部數位身分證換發政策適當所購買機器設備系統建置硬製材料及賠償金衍生支出費用超過14億元現已全部轉嫁由人民承擔:內政部推動數位身分證換發政策為施情節明確
transcript.whisperx[381].start 10436.095
transcript.whisperx[381].end 10459.447
transcript.whisperx[381].text 不思改進.意隱瞞.為查明數位身分證換發政策違失情況.自一立法院職權行使法第45條第一項規定.提案建請立法院內政委員會.針對數位身分證換發政策及預算執行違失一案.成立調閱專案小組.謹速釐清真相.追究相關事質人員責任.以善盡國會監督職責.提案人委員徐玉珍等3人
transcript.whisperx[382].start 10460.492
transcript.whisperx[382].end 10484.423
transcript.whisperx[382].text 第5案 林口隱世園區社區規劃中央不願重視地方強烈反彈無視林口在社宅數占比已是全國相當高比例之地區且對於周遭國民教育學校都已額滿更違反目前土地使用分區管理不公住宅使用之法令規定對於隱世園區中部分遭廠商欺標之土地難恨評估變更為社會住宅
transcript.whisperx[383].start 10484.983
transcript.whisperx[383].end 10498.186
transcript.whisperx[383].text 原此提案要求內政部兩個月內與地方政府進行溝通重視林口鄉親希望維持原本發展影視園區之目標與願景積極重視地方需求與在地就業提案人委員牛許廷等5人
transcript.whisperx[384].start 10499.997
transcript.whisperx[384].end 10523.057
transcript.whisperx[384].text 第6案關於淡水淡海新市鎮之交通規劃建設因應淡江大橋2025年通車前交通評估及區域改善在2023年內政委員會考察時提出配合淡海新市鎮二期之計劃道路公路總局也確定規劃淡海新市鎮二期從沙崙路北沿40米寬之計劃道路緩解未來淡江大橋通車後產生於淡水端之龐大車流
transcript.whisperx[385].start 10524.278
transcript.whisperx[385].end 10544.955
transcript.whisperx[385].text 考量地方對交通之需求該工程已確定系統建設之計劃其相關單位按規劃之進度加速辦理推動工程進行目標完善區域交通建設原提案要求內政部一個月內完成經費補助審核作業並提出進度之書面報告回覆提案委員提案人委員牛旭亭等5人
transcript.whisperx[386].start 10546.411
transcript.whisperx[386].end 10560.278
transcript.whisperx[386].text 第7案 林口特定區計劃保護區面積佔約11000多公頃目前保護區系一都市計劃法桃園市施行細則與都市計劃法新北市施行細則規定管理相關保護區檢討調整今101內政部4月24日都市計劃委員會第778次會議中決議關於林口特定區保護區開發許可要點之通盤檢討及內容妥適性詳細與檢視後暫行辦理
transcript.whisperx[387].start 10574.084
transcript.whisperx[387].end 10593.496
transcript.whisperx[387].text 為進度延宕及地方鄉親積極關心.使有加速推進之必要.原此關於林口特定計劃保護區提案要求內政部兩個月內邀及新北桃園市府督促提出通盤檢討及內容妥適性評估作為整體計劃的開展.並與地方鄉親舉辦座談說明提案人委員牛許廷等5人宣讀完畢
transcript.whisperx[388].start 10595.828
transcript.whisperx[388].end 10624.284
transcript.whisperx[388].text 好 周委在這邊提醒一下在場的官員還有委員們因為我在9點開會的時候我就已經說了我們的臨時提案是到10點然後呢今天國民黨團有幾個案子是10點03分進入的那麼我跟議事委員交代未來各黨團在10點03分前我們收到的臨時提案我們按照規則大家都一樣所以這是一併來處理第二件事情就是
transcript.whisperx[389].start 10625.024
transcript.whisperx[389].end 10638.319
transcript.whisperx[389].text 提案委員還有這個相關的各部會的這個協調有一些文字的部分本席希望在召開這個臨時提案之前趕快處理好不好因為我已經有蠻長時間給你們去跟各提案委員來
transcript.whisperx[390].start 10643.644
transcript.whisperx[390].end 10662.961
transcript.whisperx[390].text 來交流溝通是不是可以做一些文字上的修正可以修正的我們就不要浪費太多的時間在這邊在大家一起討論如果不能修正的部分我們就來處理好不好目前第三案第6案第7案有一些文字修正那麼提案委員也同意了所以我們先處理這三案請宣讀謝謝
transcript.whisperx[391].start 10680.382
transcript.whisperx[391].end 10695.391
transcript.whisperx[391].text 第三案倒數第四行期待內政部統一協調增加縣市消防人力部分而這些文字修改為黃建兵這些文字刪除對好
transcript.whisperx[392].start 10702.302
transcript.whisperx[392].end 10709.466
transcript.whisperx[392].text 第三案倒數第4行期待內政部統一協調增加縣市消防人力刪除現在我們再來處理第6案
transcript.whisperx[393].start 10715.841
transcript.whisperx[393].end 10719.142
transcript.whisperx[393].text 第6案第三行道路的道修正文字
transcript.whisperx[394].start 10735.706
transcript.whisperx[394].end 10763.324
transcript.whisperx[394].text 第二段文字修正委考量地方對交通之需求該工程已確定系統建設之計劃其相關單位按規劃之進度加速辦理推動工程進行目標完善區域交通建設原提案要求內政部一個月內提出進度之書面報告含經費並列及開闢方式回覆提案委員好以上修正文字提案委員沒有沒有問題吧
transcript.whisperx[395].start 10765.516
transcript.whisperx[395].end 10786.326
transcript.whisperx[395].text 夢凱委員好沒問題好沒問題我們就按照修正文字通過好第7案第7案第二段修正委員此關於林口特定計劃保護區提案內政部一個月內督促新北桃園市府緊速提出通盤檢討及內容妥適性評估作為整體計劃的開展並與地方鄉親舉辦座談說明
transcript.whisperx[396].start 10795.661
transcript.whisperx[396].end 10821.182
transcript.whisperx[396].text 請內政部一個月內這個也都念完了是不是好請問一下這個修正文字沒問題吧可以好我們就按照修正文字通過我們現在回來來處理第一案請宣讀一下已經剛宣讀了都宣讀過了那第一案這個提案委員好像你堅持這個部分嗎然後我們的這個相關單位這樣子的問題來第一案
transcript.whisperx[397].start 10825.933
transcript.whisperx[397].end 10847.651
transcript.whisperx[397].text 你們有什麼意見?你跟這個提案委員溝通了嗎?我剛剛給你們大概9點到現在已經有3個小時溝通了。所以如果溝通還不接受的話,那麼我們就表決好不好?可不可以說明一下?請他說明一下,我們沒有聽到啊。好,來請說明一下。拿麥克風好嗎?麻煩你站到上面來。謝謝。
transcript.whisperx[398].start 10854.769
transcript.whisperx[398].end 10873.876
transcript.whisperx[398].text 這部分因為要使一些文字更明確我們是建議修正說原則上我們會提供相關的政策報告的資料那裡面有些文字因為跟現實跟實際上有一點不符所以我們是建議稍微做一下修正比如說第三行
transcript.whisperx[399].start 10874.696
transcript.whisperx[399].end 10889.314
transcript.whisperx[399].text 前階種種使立法院朝野一致沒有委員支持該案導致巨額賠償費用這幾個文字因為這個案子有關花花西市身份這計畫曾經提過立法院而且院裡面也通過那個
transcript.whisperx[400].start 10891.336
transcript.whisperx[400].end 10911.572
transcript.whisperx[400].text 預算而且這個巨額的賠償也還沒有確定這是一個補償不是賠償的費用所以我們建議說是把這幾個字把它刪掉就是前階總統使立法委員朝野一致沒有委員支持該案導致巨額賠償等費用這幾個字把它刪除掉
transcript.whisperx[401].start 10913.906
transcript.whisperx[401].end 10932.064
transcript.whisperx[401].text 請問新委員這個前面這幾個字報告主席前兩分鐘突然拿給我看那我是覺得這個不用改啦就是照這樣內政委員會其他委員也覺得好的是這樣子剛剛稍微我必須要譴責一下你們啦
transcript.whisperx[402].start 10933.846
transcript.whisperx[402].end 10947.283
transcript.whisperx[402].text 從9點我們已經拿到了這個臨時提案一直到今天要處理現在11點33分了在當中你們都沒有跟提案委員來溝通嗎那所以如果沒有溝通的話那本席就覺得這個案來表決來同意第一案的請舉手
transcript.whisperx[403].start 10948.044
transcript.whisperx[403].end 10948.845
transcript.whisperx[403].text 剛才那個官員你是 不好意思
transcript.whisperx[404].start 10969.568
transcript.whisperx[404].end 10997.993
transcript.whisperx[404].text 互證師的代理事長互證師喔他如果說照他所言就是說前階總總使立法院朝野一致沒有委員支持該案那如果這些不是事實的話我們來表決這個一個前提不是的也好奇怪啊那我是支持那個徐委員要求內政部啊來提出整個檢討跟未來政策方向的一個報告那我們中間這個字就變成說是不是也文字來稍微做一個修正啦
transcript.whisperx[405].start 10998.473
transcript.whisperx[405].end 11017.695
transcript.whisperx[405].text 那大家可以來支持你說要求整個內政部對這整個權衛未來該怎麼辦來做出一個報告這個是非常合理的但是如果說在護證實際上所講的就是說也沒有說什麼朝野一致沒有委員來支持該案這個就可能是不是我們通過這樣的文字也不同
transcript.whisperx[406].start 11018.854
transcript.whisperx[406].end 11046.485
transcript.whisperx[406].text 我現在來做一個我們不要浪費太多的時間好不好因為我剛剛一直在講護政司有三個小時請你們去跟委員溝通重視這些文字如剛剛我們的莊瑞雄幹事長所提的但是你沒有覺得我們的行政官員實在是太不重視這個部分了我已經提過在哪一個委員質詢結束之後我要處理臨時提案所以今天我覺得這個例子不可以再開
transcript.whisperx[407].start 11047.685
transcript.whisperx[407].end 11076.099
transcript.whisperx[407].text 我就表決好不好請幹事長理解因為每一個委員會裡面必須要有他的一些些的這個交流溝通的模式那我覺得今天已經有3個小時請行政單位去跟委員而且我必須要說明喔在我還沒有處理臨時提案的時候我一直請議事人員交代議事人員今天的臨時提案請跟行政單位跟委員趕快溝通一直到剛剛
transcript.whisperx[408].start 11077.88
transcript.whisperx[408].end 11085.447
transcript.whisperx[408].text 這個徐新英委員說3分鐘前才跟他溝通你如果你今天做召委你覺得你今天這樣子的一個才是你是不是覺得被踐踏
transcript.whisperx[409].start 11086.889
transcript.whisperx[409].end 11087.269
transcript.whisperx[409].text 主席主席
transcript.whisperx[410].start 11109.856
transcript.whisperx[410].end 11129.149
transcript.whisperx[410].text 這個案確實朝野一致就是這個案後來到現在都沒執行就是暫緩所以我就我了解莊委員你那時候你也沒支持啊所以這個我們這樣寫沒有錯朝野一致對這個案就大家都不支持所以這個案才會停下來啊到現在還
transcript.whisperx[411].start 11130.79
transcript.whisperx[411].end 11131.351
transcript.whisperx[411].text 我非常尊重各委員
transcript.whisperx[412].start 11153.126
transcript.whisperx[412].end 11169.749
transcript.whisperx[412].text 我也尊重各行政單位你們在三個小時當中都不去處理這樣子的一個文字溝通我要給你們譴責所以呢我們就表決來第一案我們來表決同意徐欣櫻委員所提出的這個臨時提案請舉手謝謝幾位好我們是本委員會裡面的來表決1234566席同意來不同意的請舉手謝謝
transcript.whisperx[413].start 11186.038
transcript.whisperx[413].end 11213.039
transcript.whisperx[413].text 一二三四五六六席同樣的那按照立法院職權行使法如果大家有意見的話那麼就是主席可以來做最後的決定所以主席也同意這個臨時提案謝謝我們第二個處理第二個臨時提案對現在的表決是7比6所以這個第一案我們就讓他表決通過謝謝來臨時提案第二案這個文字來說明一下
transcript.whisperx[414].start 11214.298
transcript.whisperx[414].end 11216.422
transcript.whisperx[414].text 我們的行政單位來說明一下請署長來說明一下
transcript.whisperx[415].start 11221.666
transcript.whisperx[415].end 11245.877
transcript.whisperx[415].text 早安各位委員大家好我想臨時提案第二案我們是建議倒數第一行的對前案提出檢討報告能不能改為進度報告因為這是去年的10月12號提出來的而且是涉及到很多行政部門還有縣市端的協調聯繫我們是不是改為進度做一個說明以上
transcript.whisperx[416].start 11247.47
transcript.whisperx[416].end 11274.026
transcript.whisperx[416].text 蘇長你們是什麼時候跟徐新英委員去溝通的也是3分鐘之前嗎沒有早一點但是我有跟大家提說就是檢討報告因為這個就是有問題所以我要請你們檢討嘛就這樣好 檢討裡面可以喊進度報告沒問題剛徐新英委員在做質詢的時候本席也聽得非常的清楚啦蘇長的確這的確我覺得你這個辨識系統界階的部分你們應該禁書而且好像有一段時間沒有處理了
transcript.whisperx[417].start 11275.367
transcript.whisperx[417].end 11302.444
transcript.whisperx[417].text 然後其實呢只要你們能夠再跟其他的行政單位來協調合作其實就可以盡早好不好好所以呢這個好是那呃那個新委員進度報告你還是堅持檢討報告對吧好那檢討報告那我們還是一樣就尊重提案委員是不是可以補充好你補充因為這個有涉及到國話會啦因為國話會的部分我了解對那我們還要再去跟他們
transcript.whisperx[418].start 11303.224
transcript.whisperx[418].end 11304.985
transcript.whisperx[418].text 解釋他們的見解以後
transcript.whisperx[419].start 11333.524
transcript.whisperx[419].end 11351.873
transcript.whisperx[419].text 所以這個全部規則在我這邊檢討是涉及到行政部門沒關係啦你就把這件事情給扛起來嘛好不好因為我剛剛講過海巡署有非常多的警務人員好不好可以嗎好那我們就來部長你還有什麼說明補充一下
transcript.whisperx[420].start 11355.121
transcript.whisperx[420].end 11379.311
transcript.whisperx[420].text 我非常尊重委員的意見不過因為涉及的是國發會國發會是行政院的目標單位那因為這個是它是主管機關我們必須尊重所以這一點也必須特別報告請委員這樣子我們一些文字修正心您看就是說是不是提案要求內政部跟其他的部會來提出進度的檢討報告好不好可以嗎可以嗎
transcript.whisperx[421].start 11384.597
transcript.whisperx[421].end 11407.993
transcript.whisperx[421].text 進度也放裡面我們才比較能夠要求他們提出進度的檢討報告對啊進度的檢討報告可以嗎過程的檢討報告我覺得過程就不要了啦我們就請這個反正您是今天提出吧我們也尊重您就從今天開始我們來請他們提出檢討進度報告好不好可以吧好來來再念一下好
transcript.whisperx[422].start 11411.247
transcript.whisperx[422].end 11432.634
transcript.whisperx[422].text 修正文字最後一段原提案要求內政部與相關部會提出進度檢討報告與一個月內送本會內政委員會這樣可以了吧署長好吧好謝謝您好現在我們來處理第4案第4案這個請問一下有沒有部分要說明好也是代理市長
transcript.whisperx[423].start 11440.462
transcript.whisperx[423].end 11456.261
transcript.whisperx[423].text 主席各位委員這個案子我們是先有個徐委員這邊有稍微說明一下也有跟辦公室的主任來溝通一下那目前比較有共識的部分是計劃終止的部分改成計劃暫緩因為整個計劃還沒有
transcript.whisperx[424].start 11459.204
transcript.whisperx[424].end 11477.304
transcript.whisperx[424].text 沒有終止是暫緩那第二個部分是補償金那個不是損害的補償他是他是一個他不是賠償金他是一個補償金所以2461011行裡面那個補賠償金就改成補償金那比較
transcript.whisperx[425].start 11482.435
transcript.whisperx[425].end 11505.405
transcript.whisperx[425].text 比較有跟委員沒有一致的部分是委員是希望說他還是希望能夠成立一個調查小組來調查相關的資料那我們是希望說能夠在一個月內提供數位身份證換發政策及預算執行的書片報告給內政委員會一個月內那這一部分是比較沒有共識的部分以上
transcript.whisperx[426].start 11506.015
transcript.whisperx[426].end 11522.862
transcript.whisperx[426].text 好謝謝大理司長我們看一下246第7行的卻因為計劃中止那個中止呢徐委員是同用暫緩兩個字然後接著下來就是機器設備系統建築印製材料以及那個補償金的部分
transcript.whisperx[427].start 11523.962
transcript.whisperx[427].end 11552.048
transcript.whisperx[427].text 賠償金的部分他同意列為補償金然後這兩個的文字是同意這樣修正然後到了後來就是之一立法院執權行事法第45條第一項規定提案建請立法院內政委員會針對數位身份證換發政策及預算執行維持議案成立調閱小組調閱專案小組徐委員提案委員是堅持要成立調閱小組那你們是有意見的對不對好請問一下徐委員
transcript.whisperx[428].start 11553.168
transcript.whisperx[428].end 11578.354
transcript.whisperx[428].text 本席堅持要成立調閱專案小組因為其實在這過程中就像剛我在質詢的時候我從決算報告中看出來我們其實目前已經已經花了14億多但是呢內政部卻只用2.8億這邊來告訴大家這是這樣子的一個賠償金所以我認為這個部分應該是要有這個專業的這個專案的調閱小組才能夠把這個事情釐清
transcript.whisperx[429].start 11581.415
transcript.whisperx[429].end 11595.434
transcript.whisperx[429].text 提案委員堅持用要有成立調閱專業小組我們是不是也來表決一下請問一下民進黨的幹事長我跟主席還有跟在場所有委員來報告一下這個案子其實
transcript.whisperx[430].start 11597.145
transcript.whisperx[430].end 11613.031
transcript.whisperx[430].text 第8屆的時候我就跟主席我們在這個地方當初整個從2013年針對國民身份證跟治安人憑證結合開始去做研究他的第8屆第9屆然後到了20我看一下在
transcript.whisperx[431].start 11616.187
transcript.whisperx[431].end 11629.974
transcript.whisperx[431].text 行政院他去在110年他的會議裡面暫緩整個數位身份證的一個換發以後我記得在我們在2021年朝野協商的時候是把整筆的預算來做一個封存
transcript.whisperx[432].start 11631.235
transcript.whisperx[432].end 11653.93
transcript.whisperx[432].text 那你現在如果說你說要調一小組基於立法院我們說其實我們過去也都有這個先例我阻擋不了我對這種事情監督行政部門的沒有那麼堅持本來就立法院就發揮監督的一個功能可是還是會碰到一個問題就是說你如果說你像比如說你衍生文字裡面有沒有可能把
transcript.whisperx[433].start 11655.251
transcript.whisperx[433].end 11667.567
transcript.whisperx[433].text 不是我我最不擔心的就是我們整個委員會裡面做出的我們表決完我們表決那個前提事實是那個事實怎麼是用表決的呢就讓他們適度的說明你所謂到底是多少你說的好你跟那個徐委員要的是調閱小組啦
transcript.whisperx[434].start 11672.313
transcript.whisperx[434].end 11678.56
transcript.whisperx[434].text 我只是覺得也合理啦但重點就是說你那個訴議要跟我清楚啦你那個他如果寫錯了你們也要跟他溝通好啊正確的數字講一下我相信徐委員也不會堅持說哇你的兩頁他跟你說你的14頁14頁你不來個提醒請他趕快修正一下才對所以那個數字我反而會覺得說
transcript.whisperx[435].start 11693.437
transcript.whisperx[435].end 11718.973
transcript.whisperx[435].text 這個在朝野政黨之間本來跟行政部門大家去溝通把文字弄得更精確這是好事啦稍後我再次做這樣的一個提醒啦好 謝謝莊委員長我們請徐委員主席我想剛剛莊委員這邊所提到的數字我是依據我們這個內政部的決算報告裡面所計算出來要我這邊一筆一筆的嗎 唸出來嗎
transcript.whisperx[436].start 11723.764
transcript.whisperx[436].end 11739.869
transcript.whisperx[436].text 總共就是我得到的資料就是14億超過14億所以我想這個我是有所本的所以我還是堅持既然在這邊說不清楚我覺得我們就是成立吊約專案小組來讓他們講清楚好謝謝門會委員我們請行政部門來稍微說明一下對比14億的部分
transcript.whisperx[437].start 11749.632
transcript.whisperx[437].end 11759.003
transcript.whisperx[437].text 跟委員報告齁這個徐委員提到這14億裡面其實是沒有那麼多啦裡面有重複計算的部分我跟我委員一一報告齁第一個
transcript.whisperx[438].start 11761.126
transcript.whisperx[438].end 11780.904
transcript.whisperx[438].text 這個費用裡面第一個是我們跟中央印製廠契約的部分我們跟中央印製廠契約的部分是以他印製每一張多少錢來支付比如說一張可能是一百八兩百塊這個是按照期間快速一點好不好因為剛剛徐委師有所本他是從這個決算書裡面看到的
transcript.whisperx[439].start 11784.847
transcript.whisperx[439].end 11800.696
transcript.whisperx[439].text 中印跟他的委託廠商東元之間的賠償費用是2.8億這個是買材料的費用那第三個部分是中印為了要執行美印自我的數位身份證他自己去整修廠房跟購買設備這一部分是大概3點
transcript.whisperx[440].start 11801.937
transcript.whisperx[440].end 11802.117
transcript.whisperx[440].text 第4案請問民進黨委員
transcript.whisperx[441].start 11830.609
transcript.whisperx[441].end 11847.823
transcript.whisperx[441].text 好我們的尊重部長來請您快一點快速的來說一下我們代理市場在講的太複雜簡單來講委員剛剛提到的是決算嘛那個是沒有錯數字沒有錯不過中央印製廠的決算數是我們內政部撥給他的所以那一部分是重複計算大概是這樣子
transcript.whisperx[442].start 11848.343
transcript.whisperx[442].end 11850.485
transcript.whisperx[442].text 請問一下民進黨的委員 內政委員會委員 我們是不是可以來處理這案了
transcript.whisperx[443].start 11866.002
transcript.whisperx[443].end 11892.64
transcript.whisperx[443].text 我是不是這樣建議大家一起來同意文字做修正你覺得文字應該怎麼修正看你們內政部這邊可不可以再提一下其實我們看到有一些文字修正的部分他都已經有修正了請問一下莊委員你對哪一個文字還有意見
transcript.whisperx[444].start 11894.926
transcript.whisperx[444].end 11898.424
transcript.whisperx[444].text 你有什麼意見?有沒有提出一下你的很好的見解?
transcript.whisperx[445].start 11902.881
transcript.whisperx[445].end 11928.557
transcript.whisperx[445].text 稍微問了我不敢不回答啦不敢不回答我尊重大家就是說我們這個整個臨時提案裏面其實也不用去放進去太多好像是你是說數字嗎費用的數字嗎數字你那個解釋完了我可以接受因為我們立法院這個地方還有哪裏還有哪裏您覺得像譬如說犯法政策委屍情節明確不屍改進刻意隱瞞
transcript.whisperx[446].start 11930.318
transcript.whisperx[446].end 11955.925
transcript.whisperx[446].text 這個聽起來就怪怪的啦我們要去調查他既然要調查他就先不用去審判他啦為審先判的那種感覺我們請提案委員來是不是接受莊委員的建議不接受因為其實針對這部分我們確實感受到的就是有刻意隱瞞之嫌所以為什麼要希望能夠成立釣魚的專案小組就是希望能夠把這部分的疑慮釐清
transcript.whisperx[447].start 11958.029
transcript.whisperx[447].end 11982.468
transcript.whisperx[447].text 好這樣子好不好我們把那個為師拿掉好不好換發政策請換發這個這個為師情節明確那我也同意剛剛那個因為我們還沒有釣魚小組我們的確不能夠為審先判我們成立了釣魚小組之後呢我們才可以瞭解一下他們是不是有為師的情節這一點我倒是同意莊瑞雄幹事長的提議好不好可以嗎請問學員我們在這邊文字修進好我們請議事人員來幫我們想一下如果有成立的話這個
transcript.whisperx[448].start 11987.672
transcript.whisperx[448].end 11994.415
transcript.whisperx[448].text 理事長第4案修正文字
transcript.whisperx[449].start 12017.952
transcript.whisperx[449].end 12043.307
transcript.whisperx[449].text 提案建請立法院內政委員會針對數位身分證換發政策及預算執行議案成立調閱小組競速釐清真相追究相關私職人員責任以善盡國會監督還有前面這個身分證換發政策為師情節明確這個為師情節明確把它拿掉內政部推動數位身分證換發政策
transcript.whisperx[450].start 12046.701
transcript.whisperx[450].end 12047.602
transcript.whisperx[450].text 不思改進 刻意隱瞞
transcript.whisperx[451].start 12070.018
transcript.whisperx[451].end 12098.905
transcript.whisperx[451].text 你臨時提案的第一個我們這個第4案那個賠償改成補償了對但我們第一案賠償金變成補償金那第一案還是賠償費用這樣我們的內政部我們內委會我們兩個案子的這個用詞不一樣我是不是爭取徐委員徐信義委員的同意我們第一案也是把賠償變成補償這樣我們內政委員會我們出去的才有一致
transcript.whisperx[452].start 12101.141
transcript.whisperx[452].end 12126.932
transcript.whisperx[452].text 我們剛剛臨時提案是已經通過了但是我也尊重委員但是我今天要再提的就是呢我們的行政單位並沒有在3個小時之內去找徐委員溝通所以呢剛剛昭偉才會就給他們一些懲罰希望他們以後尊重一下昭偉在這邊所說的每一句話請他們提醒他們所以剛剛的這個建議我還是來這個
transcript.whisperx[453].start 12129.813
transcript.whisperx[453].end 12130.395
transcript.whisperx[453].text 新英委員
transcript.whisperx[454].start 12140.769
transcript.whisperx[454].end 12141.77
transcript.whisperx[454].text 第5案有沒有文字修正?
transcript.whisperx[455].start 12167.659
transcript.whisperx[455].end 12167.899
transcript.whisperx[455].text 來請說明署長
transcript.whisperx[456].start 12191.508
transcript.whisperx[456].end 12216.337
transcript.whisperx[456].text 人家有一個意見那其實我想我們在過程當中因為現在評估還沒有一個結果我們評估有一個結果其實都會跟地方政府去溝通所以這種有關其中的一些文字是不是可以因為我們有跟委員溝通他有一部分文字還是不同意修正但是我覺得站在對國有土地的一個管理跟規劃以及長期因為新北歐是社宅缺口最大的地方
transcript.whisperx[457].start 12217.037
transcript.whisperx[457].end 12225.91
transcript.whisperx[457].text 那是不是可以讓我們可以在評估的時候評估以後來跟地方溝通我想這一點我們是會尊重但是有些文字我們還是希望修正
transcript.whisperx[458].start 12226.755
transcript.whisperx[458].end 12250.26
transcript.whisperx[458].text 好我們也請提案的牛許廷委員來做一些這個回應這個是這個孟凱委員有特別跟我講啦齁因為這個狀他會這樣子用這樣你不是共同提案人嗎因為是我們主席領導所以縱使這個黃孟凱委員不在牛許廷委員在好謝謝這個原因是這樣因為我想部裡面應該也清楚林口鄉親有抗爭有連署所以作為民意代表如果沒有辦法用
transcript.whisperx[459].start 12251.56
transcript.whisperx[459].end 12276.277
transcript.whisperx[459].text 這個你也沒辦法讓孟凱委員跟林口的鄉親交代啦所以希望這一部分部裡面是不是多多擔待那這個臨時提案的總體的意旨關鍵其實還是希望中央跟地方進行完善的溝通啦所以我覺得文字修正與否不影響這個提案的意旨啦是不是就趕快那我就特別再多講一句如果真的溝通的結果林口不要對不對那來跪山我來幫你溝好不好你的社宅進度也可以照常推動
transcript.whisperx[460].start 12278.518
transcript.whisperx[460].end 12301.253
transcript.whisperx[460].text 這是國有地那剛好位置在林口事實上就是那邊的鄉親有抗爭所以我了解所以我的意思說因為我們本來程序上就在做評估其實不要不需要用到蠻橫這種字眼因為國有土地本來在交給我們因為他剛剛有講是很堅持啦那堅持後沒有尊重他啦好不好因為畢竟那是在林口的事情嘛好不好所以希望部裡面擔待一下好來我們請政務員
transcript.whisperx[461].start 12302.614
transcript.whisperx[461].end 12319.187
transcript.whisperx[461].text 跟主席還有跟國務委員報告這個在新北市這個才你看總統大選才選完才多久而已新北市確實是在整個社宅的部分缺口是最大的各個政黨在選總統的時候都是信誓旦旦要多花錢多花錢那
transcript.whisperx[462].start 12321.849
transcript.whisperx[462].end 12327.772
transcript.whisperx[462].text 我是比較難想像雖然我們不是在屬於領口這樣的一個選區可是整個社會住宅的建制希望再繼續增加這是各黨大家都希望一致的政府而且在內政委員會我們一直要求內政部要求國土署每個人來修理每個人的進度都上過班還要趕快找像我都一直要拜託
transcript.whisperx[463].start 12347.942
transcript.whisperx[463].end 12374.507
transcript.whisperx[463].text 拜託你們一直再去找那怎麼會據說這個剛好是那個廠商棄標的國有土地然後你去把它做平均變更為社會住宅會變成是蠻橫的評估評估也還沒出來搞不好評估出來新北市政府是很開心的也不一定阿中央出錢阿又企劃你住在這除非你告訴我說林口這個地方完全真的都不需要社會住宅所以是不是阿
transcript.whisperx[464].start 12374.887
transcript.whisperx[464].end 12381.099
transcript.whisperx[464].text 就像剛剛劉永遠所提到的部分就是你的意旨是希望再去溝通那既然是這樣子的話這種比較情緒性的真的不要啦這個說什麼那蠻橫評估我也不知道不然該溫柔評估
transcript.whisperx[465].start 12387.93
transcript.whisperx[465].end 12389.231
transcript.whisperx[465].text 謝謝莊惠琼委員的提醒稍微這樣子提這個意見雖然這個劉雪婷委員聽一下不好意思
transcript.whisperx[466].start 12416.371
transcript.whisperx[466].end 12416.591
transcript.whisperx[466].text 蘇長你同意嗎?好
transcript.whisperx[467].start 12436.528
transcript.whisperx[467].end 12465.262
transcript.whisperx[467].text OK大家同意的話我們就用這個蠻橫這兩個字拿掉當然最重要的是兩個月之內要跟地方政府進行溝通好嗎第5案我們這個文字用進行大家同意嗎好我們就臨時提案第5案通過然後第6案第6第7都已經同意了嗎好的非常謝謝大家我們的臨時提案7案都處理完畢了我們先休息3分鐘然後待會再進行我們的質詢謝謝好不好謝謝大家謝謝
transcript.whisperx[468].start 12468.019
transcript.whisperx[468].end 12468.363
transcript.whisperx[468].text 委員會主席
transcript.whisperx[469].start 12474.394
transcript.whisperx[469].end 12498.063
transcript.whisperx[469].text 議員會議員會議員會議
transcript.whisperx[470].start 12498.063
transcript.whisperx[470].end 12510.725
transcript.whisperx[470].text 議員會議員會議議員會議
transcript.whisperx[471].start 12512.807
transcript.whisperx[471].end 12532.329
transcript.whisperx[471].text 議員議員議員議員
transcript.whisperx[472].start 12532.789
transcript.whisperx[472].end 12533.21
transcript.whisperx[472].text 委員會主席
transcript.whisperx[473].start 12555.333
transcript.whisperx[473].end 12577.671
transcript.whisperx[473].text 議員議員議員議員
transcript.whisperx[474].start 12577.711
transcript.whisperx[474].end 12578.071
transcript.whisperx[474].text 委員會主席
transcript.whisperx[475].start 12596.237
transcript.whisperx[475].end 12611.954
transcript.whisperx[475].text 議員會議員會議員會議
transcript.whisperx[476].start 12616.86
transcript.whisperx[476].end 12617.761
transcript.whisperx[476].text 委員會主席
transcript.whisperx[477].start 12634.496
transcript.whisperx[477].end 12634.736
transcript.whisperx[477].text 委員會主席
transcript.whisperx[478].start 12659.684
transcript.whisperx[478].end 12660.124
transcript.whisperx[478].text 委員會主席
transcript.whisperx[479].start 12683.507
transcript.whisperx[479].end 12708.729
transcript.whisperx[479].text 議員會議員會議員會議
transcript.whisperx[480].start 12710.589
transcript.whisperx[480].end 12736.049
transcript.whisperx[480].text 議員議員議員議員
transcript.whisperx[481].start 12739.827
transcript.whisperx[481].end 12741.029
transcript.whisperx[481].text 委員會委員會委員會
transcript.whisperx[482].start 12759.322
transcript.whisperx[482].end 12766.689
transcript.whisperx[482].text 我們現在繼續開會 我們中午就不休息繼續我們的質詢現在我們請莊瑞雄委員質詢 謝謝謝謝主席 有請我們內政部林部長有請林部長我們警政署黃署長
transcript.whisperx[483].start 12785.54
transcript.whisperx[483].end 12786.02
transcript.whisperx[483].text 目前公務機關不管是聘用人員 約戶人員
transcript.whisperx[484].start 12810.53
transcript.whisperx[484].end 12825.748
transcript.whisperx[484].text 公務人員一樣並不適用勞動基準法而是屬於公法上的契約的關係因此沒有辦法去適用說五一勞動節的一個放假本席來舉兩個例子比如說一個單位裡面同時有公務人員有業聘人員還有派遣性質的臨時人員但在勞動節
transcript.whisperx[485].start 12828.351
transcript.whisperx[485].end 12848.686
transcript.whisperx[485].text 一個單位裡面有些人可以放有些人不能放這個大家都很清楚那另外就是中央跟地方公職啊你自己看二萬一就好了啊很多助理啊這些幕僚啊適用勞基法但基本上都是配合著公家單位還有公職人員的一個工作的一個作息啊所以大部分其實我的了解啊也都沒幫啦那也有人啊
transcript.whisperx[486].start 12849.787
transcript.whisperx[486].end 12855.253
transcript.whisperx[486].text 也沒有人會刻意去注意到這一群很辛苦為這個社會國家在付出的一個群體這被勞動節給遺忘了本身還記得我去年在被這一題去年在被大眾討論的時候人總的回應是說
transcript.whisperx[487].start 12867.685
transcript.whisperx[487].end 12881.791
transcript.whisperx[487].text 要交由內政部去研議因為你們是紀念日跟節日實施辦法的一個主管機關你們的回應更有意思當時委員提案要把這個辦法升為法的位階你們尊重立法院最終的一個決議
transcript.whisperx[488].start 12883.112
transcript.whisperx[488].end 12901.121
transcript.whisperx[488].text 其實這個問題單純是公務員員要不要放應該是人總就能夠決定並來匯給你們但經過一連串這樣討論下來非常大的困難就出在教職人員的一個部分大家很清楚就老師放學生沒放怎麼辦早年兒童節只有兒童放假但兒童放假
transcript.whisperx[489].start 12906.804
transcript.whisperx[489].end 12907.044
transcript.whisperx[489].text 所以兩個問題請教部長
transcript.whisperx[490].start 12933.265
transcript.whisperx[490].end 12935.949
transcript.whisperx[490].text 是否認同比照兒童節模式的可能目前全年休假日已經滿了部長先前受訪也講說需要有配套配套是什麼先請教
transcript.whisperx[491].start 12949.945
transcript.whisperx[491].end 12967.119
transcript.whisperx[491].text 委員其實你非常清楚這一個問題還有方向大概是怎麼樣不過你剛剛提到的那個課題的話基本上現在在思考應該是朝向一個正面肯定的方向在前提
transcript.whisperx[492].start 12967.819
transcript.whisperx[492].end 12968.64
transcript.whisperx[492].text 方向明確樂觀其成
transcript.whisperx[493].start 12987.811
transcript.whisperx[493].end 13015.013
transcript.whisperx[493].text 是的,但是因為這個涉及這個因為我們雖然是主管機關那法當然我們要修不過這還是這個涉及的是全國的這個事務不是方向明確你說方向明確樂觀其成但問題就是又沒有答案那我問你五月一號可不可以試用我想應該最近這個院會有整體最近應該就會有一個答案
transcript.whisperx[494].start 13016.054
transcript.whisperx[494].end 13016.335
transcript.whisperx[494].text 5月1日試用沒問題
transcript.whisperx[495].start 13043.656
transcript.whisperx[495].end 13065.46
transcript.whisperx[495].text 我沒有辦法幫院做這樣子的一個報告你這個意思是說方向明朗啦樂觀其成這樣對吧我想我們是正面的方向來看其實正面就是大膽就講有什麼關係胸脯就把它拍下去接下來要來請教我們不能漸越先感謝啦希望5月1號我們內政委員會這樣的一個建議以後啊因為這個其實這個長年的老問題嘛那可以解決這樣的一個問題是好事啦
transcript.whisperx[496].start 13071.201
transcript.whisperx[496].end 13075.342
transcript.whisperx[496].text 另外我要請教就是說根梢法實行快兩年我們何時去啟動修法檢討的一個評估我請教署長的就是說我們2021年11月根梢
transcript.whisperx[497].start 13096.238
transcript.whisperx[497].end 13119.563
transcript.whisperx[497].text 根梢法三讀通過以後我們在2022年的6月實行將根梢行為明確去入罪並導入書面的一個告誡保護令跟刑事訴訟三道防線那被人報案以後警政單位的開立書面告誡給行為人然後明確告知說你違法兩年內再犯被害可以向法院來民事庭的申請保護令如果再違反保護令的話可以刑責
transcript.whisperx[498].start 13120.063
transcript.whisperx[498].end 13134.314
transcript.whisperx[498].text 好了那你跟稍法施行到今年兩當啦從111年6月到今年1月底你們總共受理了4000高霸44間開立的書面告誡3480件違反書面告誡315件從這個數據可以看得出來現行開立的書面告誡雖然是一紙行政命令但是呢確實達到主後的一個效果但本席的問題是說我們
transcript.whisperx[499].start 13146.762
transcript.whisperx[499].end 13168.861
transcript.whisperx[499].text 這個法還有很多可以去努力改善的一個空間我來舉例我今天去理事法法治委員會有講過韓國那個主播主那個企鵝妹來台灣全程在直播在環島的時候粉絲開始在對對到他沒有人有人去報案後後來他跟社會規定書面來告誡開立告誡以後是在保護令面前宣誓說我警方已經介入了但是這有一個問題
transcript.whisperx[500].start 13170.766
transcript.whisperx[500].end 13181.122
transcript.whisperx[500].text 他們還一直洗洗洗在這段時間如果申請保護令合法這段時間保護令還沒出來以前如何去保護北韓人的安全這第一個第二個喔
transcript.whisperx[501].start 13183.379
transcript.whisperx[501].end 13203.832
transcript.whisperx[501].text 稍後我馬上結束第二個很大的問題就是說我們其實其實我們有做出我們有做出決議我們有做出決議就是說我們去年內政委員會還質詢完以後警政署這邊很快就召開一個諮詢小組跟相關研討會跟商法通過立法院三讀通過以後我們通過附帶決議是說內政部必須要三年內去檢視現行法令我們也需要調整我要請問警政署你們現在的規劃如何請一併回答
transcript.whisperx[502].start 13215.166
transcript.whisperx[502].end 13236.948
transcript.whisperx[502].text 首先第一點就是如果他有再被根燒的話其實警方可以協助他做一個保護的工作就可以這樣子來執行第二個問題就是說有沒有到今年底要啟動修法我們大概根據專家學者以及協助研討會的一個提出來這段時間執行的內容大概有一個問題就是
transcript.whisperx[503].start 13238.809
transcript.whisperx[503].end 13264.045
transcript.whisperx[503].text 這個警察跟檢察官一直前來申請保護鏈的部分大概法官很多都不同意所以希望把它入法也就修在那個根梢法母法裡面來入法那第二個問題就是相對人處理機制這塊這塊可能還要跟衛福部再做一個討論比較細緻的討論來入法才有辦法來推動所以等於說他還有其他的部會要一起協同來處理的是嗎那這不要開玩笑因為
transcript.whisperx[504].start 13264.966
transcript.whisperx[504].end 13265.166
transcript.whisperx[504].text 繼續我們請紅森漢委員來質詢謝謝
transcript.whisperx[505].start 13297.11
transcript.whisperx[505].end 13321.637
transcript.whisperx[505].text 請部長也請林部長來 委員好部長我時間不多我很快速的跟你請教其實現在我們在租賃市場上面很多房東超收租客的電價來賺差價部長你知不知道這個現象我們知道有一個現象來看下面這張表
transcript.whisperx[506].start 13324.656
transcript.whisperx[506].end 13346.496
transcript.whisperx[506].text 那你看一下我舉這個為例房東一層如果各層五間套房兩個月收一次電費五間套房如果大概用兩千度這是合理的度數為例的話在台電的電費單上面可能大概是他會被收台電會跟這個房東收八千塊算下來的話這是下月哦平均一度電大概四塊出頭一點點
transcript.whisperx[507].start 13347.777
transcript.whisperx[507].end 13357.241
transcript.whisperx[507].text 但現在如果房東平均一度電收5.5塊5.5塊可能已經很客氣囉現在我們看到6塊6.5塊都有喔如果收5.5塊的話這一期房東可以賺3000塊如果他是收7.69塊的話一期房東可以賺差價7000多塊部長你覺得合理嗎
transcript.whisperx[508].start 13372.865
transcript.whisperx[508].end 13383.832
transcript.whisperx[508].text 我想這個當然很明顯的不合理部長現在我們看到這個狀況我們非常非常憂心我其實自己也是租屋主我過去也是長期被超收電費
transcript.whisperx[509].start 13386.233
transcript.whisperx[509].end 13405.182
transcript.whisperx[509].text 現在我其實已經質詢了包括經濟部包括我也跟內政部講過我們已經都談過很多次現在台電其實已經成立了租屋電價透明專區已經把這個透明專區建立起來了這是台電的動作快於內政部的地方可是不然我跟你說現在按照我們的規定
transcript.whisperx[510].start 13406.543
transcript.whisperx[510].end 13425.718
transcript.whisperx[510].text 只要在夏季每個房東還是可以收到7.69塊分夏季還是可以收到6.03塊簡單來說我們還是認為房東超收3塊左右的電費是合法的部長這是我們現在的規定部長就我們的規定合不合理
transcript.whisperx[511].start 13428.67
transcript.whisperx[511].end 13441.391
transcript.whisperx[511].text 我想這個當然也不合理好不然我要提醒其實我們的電價其實是國家或我們國營事業來做一定的成本的吸收跟補貼出來的結果房東居然拿這個補貼來賺差價
transcript.whisperx[512].start 13444.141
transcript.whisperx[512].end 13472.103
transcript.whisperx[512].text 今天如果我們國家要在電費上面給一定的優惠照理來說我們的優惠是給房客而不應該反而是被相對權力比較大的房東給拿去反而現在是房客在受害喔是年輕人的房客在受害尤其是住在這些出租套房裡面的年輕人在受害喔所以部長我跟你報告從去年4月到去年11月內政部開了兩次的會但目前幾乎沒有下文
transcript.whisperx[513].start 13473.442
transcript.whisperx[513].end 13484.251
transcript.whisperx[513].text 我不斷的追包括從上個禮拜在追目前都沒有下文我們的內政部還是允許房東超收一度店3塊多以上的店價部長你覺得接下來該怎麼辦
transcript.whisperx[514].start 13486.659
transcript.whisperx[514].end 13510.028
transcript.whisperx[514].text 委員我對您報告一下這個在上個禮拜我有親自針對這個問題召開會議那我們大概幾個方向第一個是租屋的公共設施電費已經有向臺電申請分算者這部分沒有問題那現在有問題的是租屋的公共設施電費沒有申請分算或者是申請電表的獨立電表這部分有問題因為那
transcript.whisperx[515].start 13512.769
transcript.whisperx[515].end 13540.448
transcript.whisperx[515].text 這部分我們現在打算把它放在這個定型化契約裡面去律定另外就是如果今天這個租屋者就是說房東沒有去在針對公共設施去分設這個電表的話我們有一個方向就是說這一部分應該是由公共設施的這一部分的電費由房工來負擔部長之前內政部給我的回答都是因為房客可能也不知道平均電價是多少
transcript.whisperx[516].start 13541.269
transcript.whisperx[516].end 13565.498
transcript.whisperx[516].text 但現在在台電其實已經設立了這個透明化專區以後其實按照台電的程序他們是可以查得到自己的平均電價的所以現在缺的靈門一角是內政部應該在我們的租賃契約應記載跟不得記載事項上面明確規定房東不得超收超過平均每度平均電價這樣子的規定就應該規定上去而不是再用現在的每度電還可以收到7.69下月收到7.69
transcript.whisperx[517].start 13568.899
transcript.whisperx[517].end 13569.84
transcript.whisperx[517].text 謝謝委員指教那個我上禮拜親自開會然後也做了一些方向上的
transcript.whisperx[518].start 13591.416
transcript.whisperx[518].end 13620.099
transcript.whisperx[518].text 確認跟支持那最近應該是最近這一兩個禮拜我們會再開一次會然後就應該可以收點訂單部長所以一個月內可以完成這件事我想一個月內沒問題部長我要給你看一下下一張我們是現在最擔心的現在台電可能因應成本會來調整電價房東居然又在抄收上再抄收然後租客認為不合理政府又無法可罰最後明月回到政府其實這變成是一個loop
transcript.whisperx[519].start 13621.794
transcript.whisperx[519].end 13641.492
transcript.whisperx[519].text 這變成是一個loop我們希望我們接下來在內政部的動作上面就可以阻斷這個不當的循環不要再讓超收這種不正義的事情發生部長你現在也很重視 我知道你很重視建築的節能你可以想像今天假如一個房東他一度電他可以超收3塊你覺得這個房東希望房客多用電還是少用電
transcript.whisperx[520].start 13643.158
transcript.whisperx[520].end 13643.318
transcript.whisperx[520].text 拜託,沒有問題
transcript.whisperx[521].start 13673.458
transcript.whisperx[521].end 13673.618
transcript.whisperx[521].text 黃國昌委員質詢
transcript.whisperx[522].start 13710.51
transcript.whisperx[522].end 13714.773
transcript.whisperx[522].text 謝謝主席麻煩有請部長我有請林部長
transcript.whisperx[523].start 13729.768
transcript.whisperx[523].end 13749.972
transcript.whisperx[523].text 陳委員你好部長好2008年的時候蔡總統在自由廣場跟台灣社會道歉說那個時候上一次民進黨執政的時候推極有法的修正不利跟社會道歉現在已經是2024年了請問蔡總統莊嚴的承諾什麼時候要兌現?集會遊行法
transcript.whisperx[524].start 13755.99
transcript.whisperx[524].end 13759.893
transcript.whisperx[524].text 什麼時候要兌現他改革的承諾請教部長請教部長請教部長請部長回答這個是內政部主管的業務請部長回答我們請部長說明回答一下謝謝我想結合法的部分我們
transcript.whisperx[525].start 13781.536
transcript.whisperx[525].end 13796.914
transcript.whisperx[525].text 在我們也會再跟相關因為這個其實你也知道這個其實也牽扯到相關蠻複雜的問題牽扯到什麼複雜的問題這是你們的政治承諾啊跳跳到現在2024年欸什麼時候要修正
transcript.whisperx[526].start 13798.427
transcript.whisperx[526].end 13826.12
transcript.whisperx[526].text 部長你還記不記得你以前在當民主進步黨副秘書長的時候你對於極有法的評價是什麼你是不是曾經說過現行的極有法有違憲之餘請部長暫停時間請部長回應跟委員報告這一個案子因為之前有送到立法院不過藉其不續審又推回來了第9屆的時候這個是蔡英文跳票的解釋嗎
transcript.whisperx[527].start 13828.137
transcript.whisperx[527].end 13856.174
transcript.whisperx[527].text 這是蔡英文票票的解釋嗎我在請教你啊你在當民主進步黨副秘書長的時候是不是認為極有法有違憲之餘我想集會遊行的部分當然我們應該隨著民主政治的一個進步來做改善我想這一點方向是所以做了什麼改善現在我的問題很具體嘛民進黨執政8年做了什麼改善這個是你當初
transcript.whisperx[528].start 13858.311
transcript.whisperx[528].end 13885.902
transcript.whisperx[528].text 在當副秘書長的時候集會遊行法違憲應廢除你還記得嗎你還記不記得我想這一部分在這邊說明一下倒不是像委員說的這樣子因為這一部分我們的確是在相關我跟妳報告一下因為在之前相關的一個會議我們其實是有進行不過在之前疫情的確是緩了一下暫停
transcript.whisperx[529].start 13887.363
transcript.whisperx[529].end 13888.364
transcript.whisperx[529].text 所以拖了8年以後法案還在內政部繞嗎?
transcript.whisperx[530].start 13906.898
transcript.whisperx[530].end 13924.196
transcript.whisperx[530].text 是有在進行,因為剛剛在講3年的疫情期間的確是暫停相關的一個事情3年的疫情期間跟休期會遊行法到底有什麼關係啊?因為會議沒有辦法召開嘛可以拖拖成這樣?本月那個時候前4年內政委員會都停擺喔?
transcript.whisperx[531].start 13925.277
transcript.whisperx[531].end 13941.549
transcript.whisperx[531].text 不好意思我那四年因為人不在立法院我想請教一下昭文這四年我們內政委員會有停擺嗎沒有停擺我們繼續開會的你在扯什麼啊沒有沒有委員那個時候像疫情的嚴重時間你也知道那個沒有沒有相關的一個召集會議今天你站在這裡
transcript.whisperx[532].start 13943.51
transcript.whisperx[532].end 13956.859
transcript.whisperx[532].text 告訴大家蔡英文跳票的理由是因為疫情大家聽得下去聽不下去我們接受檢驗請委員不要這樣子貼標籤我剛剛已經說過了哪裡講錯請你指教嘛我剛剛已經說過了我們在今年的六月份我們會送部會議來進行審查沒有關係嘛所以是有進度的繼續拖嘛繼續混嘛
transcript.whisperx[533].start 13968.906
transcript.whisperx[533].end 13993.298
transcript.whisperx[533].text 委員你講話可以小聲一點我都聽得到好來沒有關係我們繼續看當初你在當基隆市市長的時候人家要去申請國門廣場結果被你喝斥了說齁哇這種為了搞選舉不擇手段國門廣場不可以舉辦政治性的活動講的是正正有詞阿結果呢去年選舉的時候這場活動在哪裡舉辦的
transcript.whisperx[534].start 13997.157
transcript.whisperx[534].end 14016.582
transcript.whisperx[534].text 委員我跟您報告第一個在我執政時期包括我們的市民廣場還有所有的廣場我們不准舉行相關的一個政治活動這樣的態度跟立場是一致的對嘛所以呢所以不換你執政的時候人家開放了你就高高興興的跑到國門廣場去做政治聚會喔委員
transcript.whisperx[535].start 14018.903
transcript.whisperx[535].end 14028.387
transcript.whisperx[535].text 新的市長他要開放這個廣場那就是依照相關的規定去申請了KPK主席也在那個地方來舉辦了我們把它定位成是一個市民活動的廣場蔡英文那時候說什麼把街頭還給人民啊
transcript.whisperx[536].start 14042.552
transcript.whisperx[536].end 14063.593
transcript.whisperx[536].text 只有在自由的街頭我們才有自由的社會啊這是我們民主進步黨的責任啊你自己在當市長的時候國門廣場搞政治戒嚴別人開放的時候馬上喜滋滋的去那邊搞政治活動我有說錯嗎委員我們沒有搞政治戒嚴請不要這樣子亂貼標籤啊這一點我完全不接受
transcript.whisperx[537].start 14064.673
transcript.whisperx[537].end 14073.295
transcript.whisperx[537].text 我們廣場在你市長任內的時候不是不能舉辦政治活動嗎?我們所有的市民的開放空間回歸給市民舉辦相關的活動所以按照你這樣講這個不是回歸給市民舉辦活動我們舉辦一般性的活動但是現在他們不做這樣的決定嗎?我們尊重現在的市政府
transcript.whisperx[538].start 14090.266
transcript.whisperx[538].end 14093.568
transcript.whisperx[538].text 委員 請瞭解整個金融市當時的狀態 這一點你剛剛講的這個指控我完全不接受 謝謝
transcript.whisperx[539].start 14111.499
transcript.whisperx[539].end 14116.201
transcript.whisperx[539].text 你先不接受是你的事啊我尊重委員說話不過也請委員那我還是自己主管違憲嗎現在自己當部長對自己主管的法規違憲毫無作為啊
transcript.whisperx[540].start 14127.765
transcript.whisperx[540].end 14128.466
transcript.whisperx[540].text 無期名召委質詢
transcript.whisperx[541].start 14151.735
transcript.whisperx[541].end 14152.676
transcript.whisperx[541].text 國土管理署署長
transcript.whisperx[542].start 14172.776
transcript.whisperx[542].end 14201.371
transcript.whisperx[542].text 好部長早上大家都在談論四位身份證的造反那四位身份證這是在過去啦也不是你任內啦在那個治安的風險以及隱私的保護那目前已經停止了那廠商的球場2.8億是不是請我們副政司來做說明嗎這還是還是部長你來做說明
transcript.whisperx[543].start 14203.134
transcript.whisperx[543].end 14203.494
transcript.whisperx[543].text 4.8億還有2.8億的補償那加起來
transcript.whisperx[544].start 14233.153
transcript.whisperx[544].end 14248.716
transcript.whisperx[544].text 7點幾億嗎?對,這是我們在預算執行的部分,決算的部分因為這一定要說明,早上10幾億,所以有重複的計算包括我們支付給中央印製廠的經費
transcript.whisperx[545].start 14253.443
transcript.whisperx[545].end 14254.484
transcript.whisperx[545].text 請部長休息,我們請署長,謝謝
transcript.whisperx[546].start 14272.103
transcript.whisperx[546].end 14294.898
transcript.whisperx[546].text 市長現在我們整個社宅的推動現在進步怎樣跟委員報告其實現在都符合我們原來設定的目標那我們在目前截止直接興建已經到了9萬5千多戶那今年在目前的這個開標也都非常順利我想今年直接興建也沒有問題那包租代管
transcript.whisperx[547].start 14296.099
transcript.whisperx[547].end 14305.909
transcript.whisperx[547].text 應該會超出我們原來的預期因為包租貸款成長率很高那租金補貼目前的申請數也已經遠超過50萬戶那所以今年要達標這個租金補貼50萬也沒有問題那
transcript.whisperx[548].start 14310.7
transcript.whisperx[548].end 14340.226
transcript.whisperx[548].text 租金貸款現在你說現在已經已經有超標了那整個包租貸款那你整個國債20萬戶那包含包租貸款那有沒有有沒有辦法今年就可以達標跟委員報告就是直接興建的9萬5以後我們目前跟地方政府到今年截止各個案的這個開標都非常的順利所以在今年應該把說可以把如期的達成這些案件的一個
transcript.whisperx[549].start 14340.936
transcript.whisperx[549].end 14341.761
transcript.whisperx[549].text 一個一個開標跟開工來興建
transcript.whisperx[550].start 14344.721
transcript.whisperx[550].end 14352.963
transcript.whisperx[550].text 好,這樣很好,因為怎麼樣這是大家都很關心的我們的蔡總統過去所有大贏的20萬戶那8年會達成這個目標那未來我也在這向署長來拜託因為在土城三峽這邊的年輕人的國債需求量還是很大未來在這邊要如何推動
transcript.whisperx[551].start 14372.108
transcript.whisperx[551].end 14396.049
transcript.whisperx[551].text 議員.
transcript.whisperx[552].start 14396.949
transcript.whisperx[552].end 14397.069
transcript.whisperx[552].text 內政部部長
transcript.whisperx[553].start 14424.656
transcript.whisperx[553].end 14449.754
transcript.whisperx[553].text 國路管理署跟住戶中心一定會聯手跟地方政府合作一起再把社宅的數量持續的擴大好的因為你剛才所說的我們的土層我們要顧這四地重劃這裡面有一塊那個社宅還有一塊就是幾光四村幾光四村是國防部我們早期也有規劃這邊要來蓋社宅
transcript.whisperx[554].start 14452.156
transcript.whisperx[554].end 14467.3
transcript.whisperx[554].text 那我請問吉光市村這個案子你有了解嗎?有有,它現在就是道路的部分還有跟市府這邊在協調,那我們其實進度都持續在辦理中,那個沒有什麼問題。這個國產路有問題吧?沒有。沒有問題啦。對對。好。
transcript.whisperx[555].start 14471.892
transcript.whisperx[555].end 14472.892
transcript.whisperx[555].text 3月18日及20日二天一次會議
transcript.whisperx[556].start 14487.757
transcript.whisperx[556].end 14488.257
transcript.whisperx[556].text 跟委員報告就是
transcript.whisperx[557].start 14510.894
transcript.whisperx[557].end 14528.491
transcript.whisperx[557].text 只要接下來有去亂徵收勢力重劃的案子我們都會優先在會跟地方政府來協商優先來劃那除非他真的真的在規劃上沒有辦法配合我們會也跟他協商優先用專案讓售把他這個不管是抵費地或是
transcript.whisperx[558].start 14529.051
transcript.whisperx[558].end 14529.311
transcript.whisperx[558].text :新北市政府
transcript.whisperx[559].start 14544.972
transcript.whisperx[559].end 14545.572
transcript.whisperx[559].text 主席主席
transcript.whisperx[560].start 14571.614
transcript.whisperx[560].end 14574.775
transcript.whisperx[560].text 市長現在詐騙集團打詐是政府最積極要來出題所以現在已經把我們說在我們的私費身份證的延續就是因為有這個智慧
transcript.whisperx[561].start 14594.52
transcript.whisperx[561].end 14595.02
transcript.whisperx[561].text 委員會主席
transcript.whisperx[562].start 14620.408
transcript.whisperx[562].end 14635.363
transcript.whisperx[562].text 謝謝委員剛剛委員可能提到的是大概個資外洩的問題導致我們被民眾被詐騙那這個大概這種類型大概解除分局付款那種手法是比較多比方說我們去購物完了以後就接到電話
transcript.whisperx[563].start 14636.224
transcript.whisperx[563].end 14636.244
transcript.whisperx[563].text 拜訪議員
transcript.whisperx[564].start 14653.904
transcript.whisperx[564].end 14673.337
transcript.whisperx[564].text 這個部分還有就是政府的一個簡信有政府同意碼的一個簡信發送的部分那速發部也是已經建置了透過公開的公的那個發布那個簡信來這個比較有公信力很多配套措施都一直在推動進行中
transcript.whisperx[565].start 14674.378
transcript.whisperx[565].end 14675.219
transcript.whisperx[565].text 非常感謝齊明昭委的質詢謝謝署長謝謝繼續我們請鄭天才委員質詢
transcript.whisperx[566].start 14713.233
transcript.whisperx[566].end 14738.873
transcript.whisperx[566].text 主席有請部長我們有請林部長部長好辛苦了部長要跟你談不再起投票希望能夠從原住民族的立法委員實施不再起投票我們看這個今年
transcript.whisperx[567].start 14740.011
transcript.whisperx[567].end 14767.168
transcript.whisperx[567].text 印尼在臺灣實施不再起投票在今年的2月14日印尼的這個外勞在我們來說外勞印尼的移工在臺灣實施不再起投票這個你看這個地址這個下面的地址是花蓮瑞穗鄉我的媽媽89歲
transcript.whisperx[568].start 14770.137
transcript.whisperx[568].end 14797.064
transcript.whisperx[568].text 照顧我媽媽的勞工外勞是印尼的他在台灣已經投票兩次了在台灣已經投票兩次了那今年2月14日印尼的總統大選還有國會議員這個他的勞工我的外勞我家的外勞的勞工8個月前來到台灣因為切工所以他進來了
transcript.whisperx[569].start 14798.902
transcript.whisperx[569].end 14799.122
transcript.whisperx[569].text 議員提供
transcript.whisperx[570].start 14822.301
transcript.whisperx[570].end 14831.73
transcript.whisperx[570].text 印尼在台灣實施不再舉投票103年就開始了103年108年113年已經三次了所以這個部分我們真的是我們自稱為民主法治國家連在台灣我們都沒有辦法實施
transcript.whisperx[571].start 14846.626
transcript.whisperx[571].end 14862.449
transcript.whisperx[571].text 所以這個真的是印尼幅然遼闊他們的移工到臺灣都可以直接就實施所以這個部分這個部長真的是要我們就先從最簡單的為什麼援助民主我們非常這個臺灣很小要跟印尼比我們真的很小但是我們卻沒有辦法做到
transcript.whisperx[572].start 14874.181
transcript.whisperx[572].end 14898.615
transcript.whisperx[572].text 尤其是原住民的立委的選區台澎金嘛每個地方都有投票所最容易實施的對不對最容易實施的我就不曉得為什麼我們要跑到這麼遠的地方去投票所以我們的投票率你看看原住民的立法委員跟非原住民的投票率的差距這麼大
transcript.whisperx[573].start 14900.083
transcript.whisperx[573].end 14900.243
transcript.whisperx[573].text 本席:
transcript.whisperx[574].start 14909.114
transcript.whisperx[574].end 14936.043
transcript.whisperx[574].text 這個也提出公職委員選舉罷免法第17條的修正草案針對原住民的立法委員先實施這個我也提出總統副總統罷免法第13條的修正草案也是針對原住民的立法委員先實施不再舉投票確實沒辦法做到本席在第一次提案是105年了106年
transcript.whisperx[575].start 14940.229
transcript.whisperx[575].end 14958.565
transcript.whisperx[575].text 12月7日內政委員會審查通過108年3月11日完成草野協商很遺憾的沒有完成三讀我上一屆也提了這一次又提了這一屆又提部長可不可以先實施這是最容易的非常謝謝委員
transcript.whisperx[576].start 14967.746
transcript.whisperx[576].end 14981.841
transcript.whisperx[576].text 大概這些都演繹過我們因為國情的狀況真的還是不太一樣那第一個是現在如果比如說是中央的選舉的話那如果要這樣子做的話大概會有76種的選票
transcript.whisperx[577].start 14984.384
transcript.whisperx[577].end 15012.131
transcript.whisperx[577].text 也就是區議會第三種然後政黨還有山地跟平地原住民所以加起來會有76種選票這個在實際的選務上面會有執行上的一個困難那所以政策上面還是希望說我們從那一致性的比如說公投的這種公投案的部分來顯現那至於選舉的部分你還要再看或許推動的一個狀況
transcript.whisperx[578].start 15013.786
transcript.whisperx[578].end 15038.191
transcript.whisperx[578].text 我強調的是原住民的立法委員先實施不再起投票就跟你剛才講的完全無關喔好我們就講總統選舉台澎金馬對不對原住民的選舉立法委員喔也是台澎金馬有什麼困難中選會從上一屆我質詢中選會
transcript.whisperx[579].start 15043.203
transcript.whisperx[579].end 15068.266
transcript.whisperx[579].text 他們都說完全沒有問題在作業上完全沒有問題在作業上完全沒有問題所以這個可以做的講了剛剛的理由人家從國外來到台灣都可以實施我們只不過是在台灣而且在限收在限收到原住民的立法委員的選舉
transcript.whisperx[580].start 15070.694
transcript.whisperx[580].end 15088.341
transcript.whisperx[580].text 公選會都說完全沒有困難但是每次都說因為這個法律不是我主管是內政部可以嗎因為我們都有提案請這個召委能夠安排
transcript.whisperx[581].start 15090.912
transcript.whisperx[581].end 15114.853
transcript.whisperx[581].text 希望部長能夠也認為樂觀其成宗教團體以自然的名義登記不動產處理戰刑條例這個已經這個法例當初審查了所以我主持的但是很多都沒有辦法這個被接受所以現在已經實施一段時間了請內政部把目前
transcript.whisperx[582].start 15116.307
transcript.whisperx[582].end 15140.817
transcript.whisperx[582].text 實施的結果目前這個條例實施的結果提個書面資料給我可以嗎好沒有問題好多久可以一個月內好一個月好謝謝非常謝謝我們的部長的回應也謝謝鄭天才委員的質詢一個月之內送到除了這個政委員辦公室之外也給我們其他的原住民立法委員好謝謝
transcript.whisperx[583].start 15143.138
transcript.whisperx[583].end 15151.082
transcript.whisperx[583].text 王洪威委員質詢王洪威委員不在張雅玲張雅玲張雅玲委員質詢張雅玲不在繼續請吳麗華委員質詢謝謝主席有請部長有請林部長
transcript.whisperx[584].start 15170.183
transcript.whisperx[584].end 15198.287
transcript.whisperx[584].text 委員好部長好首先感謝因為過去我們都非常的關心就是原住民地區現在我們看到警察越來越少所以我們也希望外面的原住民級的警察呢也有機會依照他的意願反擊服務反向服務那謝謝在上一週我看到內政部的回函有針對這個部分讓我們知道說有去修訂修改辦法了
transcript.whisperx[585].start 15198.687
transcript.whisperx[585].end 15200.548
transcript.whisperx[585].text 未來我們的原鄉反擊會變得更順暢在這邊謝謝但是除了反擊服務我們也是要去看還有沒有可以做的事情過去質詢我一直關心
transcript.whisperx[586].start 15213.678
transcript.whisperx[586].end 15231.149
transcript.whisperx[586].text 原住民把我們的警察當作是一個大家很願意投入的職業曾經高峰期都高達原住民在我們的整個警察裡面高達有7、8%可是您看一下光是這10年
transcript.whisperx[587].start 15234.051
transcript.whisperx[587].end 15260.107
transcript.whisperx[587].text 因為進入的管道窄了加上大量的退休光是這10年就從4.2%一直下降到2點多已經不到3%那這個現象我們就想說開源節流嘛那是不是能夠開一些門我們就希望說警政署可不可以去增加原住民的一個警察考科那非常謝謝部長也非常謝謝署長
transcript.whisperx[588].start 15261.888
transcript.whisperx[588].end 15285.032
transcript.whisperx[588].text 從之前我們這個質詢的過程當中我們發現你們都是支持的、肯定的、積極的那考選部那邊也是這樣的可是警政署是說希望在一般警察的內科去增設原住民行政類可是我現在就是想要問一下部長跟署長關於你們這個意見目前辦理的進度你們知不知道考選部的意見
transcript.whisperx[589].start 15292.453
transcript.whisperx[589].end 15308.204
transcript.whisperx[589].text 這部分我先請黃淑蘭教授說明跟委員報告那考選部的意見是說在希望在警察特考裡面來來辦理對他不希望說在行政的體系的部分來增加的警察好對
transcript.whisperx[590].start 15309.866
transcript.whisperx[590].end 15312.589
transcript.whisperx[590].text 人民的意見是不一樣的但是也是很支持那他的理由是什麼他說若是人民特考的精神
transcript.whisperx[591].start 15326.606
transcript.whisperx[591].end 15353.785
transcript.whisperx[591].text 所以要在原住民族特考裏面增加行政警察類科取代警政署提出的意見也就是說在警察特考中加入原住民族行政的考科因為他說依照新增類科處理要點的規定他說不可以在同一個考試中新增同樣職務的類科那我想要請教一下部長或署長如果按照考選部的這個方案
transcript.whisperx[592].start 15355.066
transcript.whisperx[592].end 15358.77
transcript.whisperx[592].text 因為這個是他們支持的方案 那請問警政署這邊會碰到什麼問題?為什麼會有問題?
transcript.whisperx[593].start 15376.629
transcript.whisperx[593].end 15377.991
transcript.whisperx[593].text 有很嚴重嗎?不能夠解決嗎?
transcript.whisperx[594].start 15392.012
transcript.whisperx[594].end 15408.323
transcript.whisperx[594].text 對,因為他影響到原住民同仁的權益,所以我們還是要跟考選部這邊,現在目前在積極溝通所以你們還在積極溝通?是是是,因為考選部的總會會了我一開始找警政署來問的時候,其實你們是說因為原民特考不是國家考試啦
transcript.whisperx[595].start 15409.524
transcript.whisperx[595].end 15436.8
transcript.whisperx[595].text 說最好是國家考試你們才能夠轉嫌但是我現在要講的就是說依照我們的公務人員考試法他有特別提到就是會因應特殊機關像是身心障礙者援助民族之就業權益可以比照前項考試舉行12345等類科的特種考試其實這個就是我們援助民族特考的授權的母法我們是從公務人員法這邊授權的
transcript.whisperx[596].start 15438.361
transcript.whisperx[596].end 15457.069
transcript.whisperx[596].text 現在我們來看一下如果說修正警察人員人事條例施行細則他就修了這個第4條所以就有了這樣的一個說只依公務人員考試所舉行的高考普考初考還有特種考試之警察人員考試及格
transcript.whisperx[597].start 15457.589
transcript.whisperx[597].end 15473.448
transcript.whisperx[597].text 所以在這個地方我們就發現他的一個解釋就不一樣了啦所以我是在想說這個部分麻煩因為你們剛剛有提到你們也跟考選部已經在積極溝通嘛是不是可以在兩週內提出一個方向
transcript.whisperx[598].start 15478.543
transcript.whisperx[598].end 15493.212
transcript.whisperx[598].text 另外一個我想問一下因為在今天的內政部的業報當中有看到未落實司法院的這個803號解釋推動原住民漁民自製獵槍漁槍的許可及管理辦法的立法工作
transcript.whisperx[599].start 15493.692
transcript.whisperx[599].end 15514.704
transcript.whisperx[599].text 然後112年5月起辦理了8場分區座談收集各界意見以提升自製列槍的安全性那我也要特別先感謝因為部長署長謝謝之前我們說要求你們再重新去辦分區座談你們也都做到而且我記得不是8場而已你們還加了1場應該是再加宜蘭8加1 9場那我現在要問說請問你們現在在收集意見嗎阿有沒有那些需要再修的
transcript.whisperx[600].start 15524.91
transcript.whisperx[600].end 15545.742
transcript.whisperx[600].text 這個我請黃署長說明謝謝委員我想我們在收集意見的時候也有提到說是不是自治列槍的部分也要那邊到我們辦法裡面這是你們收集到的意見嗎基本上還有委員的支持有一個提醒是這一方面可以那我們基本上我們也是同意雙國制
transcript.whisperx[601].start 15546.562
transcript.whisperx[601].end 15547.103
transcript.whisperx[601].text 再加上最高法院的判決
transcript.whisperx[602].start 15561.516
transcript.whisperx[602].end 15579.512
transcript.whisperx[602].text 照理說槍砲彈藥刀械管制條例這個也要修進去所以我也想知道你們重新公告有沒有包含這些內容還有包括那個自製獵槍的部分那我想因為時間的關係我在另外提那個書面的也希望你們可以到辦公室來討論可以嗎
transcript.whisperx[603].start 15581.313
transcript.whisperx[603].end 15591.122
transcript.whisperx[603].text 人民會會在3月份會再開會就安全的部分跟國安部一起做的我也希望人民會它其實有一個原住民族司法諮詢委員會我是希望說這個部分未來針對非知識列槍定定的這一些諮詢跟確認的機制其實都可以善用人民會的這個原住民族司法諮詢委員會好不好
transcript.whisperx[604].start 15603.496
transcript.whisperx[604].end 15608.339
transcript.whisperx[604].text 我開了三次的協調會也把國防部納注進來了那麼在我們的這個魚槍獵槍自製的範圍裡面第一原住民的自製已經可以雙軌制了以前警政署可能只有單軌就是進口的這些零件做成了一把槍之後原住民才可以買它
transcript.whisperx[605].start 15627.651
transcript.whisperx[605].end 15646.396
transcript.whisperx[605].text 但是現在因為我三次開了協調會現在國防部也進來了警政署也進來了原民會也進來了國防部會將對槍砲彈藥條例裡面五個合格的這些零組件把它變成原住民可以自製那我就想知道國內的廠商也可以製作了吼
transcript.whisperx[606].start 15647.715
transcript.whisperx[606].end 15652.438
transcript.whisperx[606].text 只要符合那個規格國內廠商也可以製作﹖是嗎﹖署長部長﹖那國內廠商如果符合規格也可以製作嗎
transcript.whisperx[607].start 15670.165
transcript.whisperx[607].end 15671.006
transcript.whisperx[607].text 國內廠商也可以製作嗎?所以國內廠商也可以來製作?
transcript.whisperx[608].start 15687.824
transcript.whisperx[608].end 15688.605
transcript.whisperx[608].text 對,因為如果是按照這個邏輯只要符合規格原住民也可以製作嘛對不對
transcript.whisperx[609].start 15701.411
transcript.whisperx[609].end 15701.791
transcript.whisperx[609].text 繼續我們請黃珊珊委員來質詢謝謝
transcript.whisperx[610].start 15746.384
transcript.whisperx[610].end 15758.992
transcript.whisperx[610].text 臺北市送到內政部有兩個很重大的議案然後到現在從我在臺北市副市長卸任到現在內政部都還沒有什麼進展主要有一個可能部長也清楚的是大灣北段
transcript.whisperx[611].start 15759.973
transcript.whisperx[611].end 15783.756
transcript.whisperx[611].text 當然北戴安送到內政部他在105年被監察院糾正然後臺北市政府已經按照相關的都市計劃並相關的要求做一些相關的規劃那也送到內政部整整快5年了5年的時間我認為對的決定要做不對的決定也要做不做決定是不對的
transcript.whisperx[612].start 15784.847
transcript.whisperx[612].end 15804.069
transcript.whisperx[612].text 也就是拖了5年這5年我知道中央跟地方一直有來來往往我也曾經拜訪過前任的徐國勇部長所以我想問一下到底現在整個大灣北段中央的意見是什麼還有未來的類似的狀況能不能夠再避免
transcript.whisperx[613].start 15806.796
transcript.whisperx[613].end 15831.955
transcript.whisperx[613].text 非常謝謝委員的關心我上任之後其實也針對這個案子做了一些了解目前的一個進度是這樣子我們這個內政部給市政府幾點建議第一個就是請市政府依照建物使用的執照時間次序第二個是違規使用與否還有第三是變更之後使用項目還有強度第五是房價你認為這些問題需要討論五年嗎
transcript.whisperx[614].start 15836.218
transcript.whisperx[614].end 15840.841
transcript.whisperx[614].text 所以問題是在哪呢?我同意他是一個前無古人的案例必須要定出一些原則如果中央有很多的意見應該定出一個規範
transcript.whisperx[615].start 15863.137
transcript.whisperx[615].end 15888.449
transcript.whisperx[615].text 一個以後不要再發生的防備的措施然後這個案子部長你覺得要怎麼解決是按照台北市的方案去計算金額還是直接把他們拆光光當然都不是第一個是我們也提了一些建議那目前台北市回的是指六項裡面其中一項就是空地的部分他們有同意那我們希望就是說其實可以針對其他
transcript.whisperx[616].start 15889.109
transcript.whisperx[616].end 15910.78
transcript.whisperx[616].text 他們不同一個五項應該還有空間這樣子會比較符合公平的一個原則所以部長很簡單需要有什麼問題一次講清楚不用這樣再來揮揮手如果一個民眾他這樣等了五年他也不知道他的房子將來怎麼辦我覺得這樣是不對的無論如何一個政府不可以放在那邊150年然後沒有任何進展
transcript.whisperx[617].start 15911.44
transcript.whisperx[617].end 15931.101
transcript.whisperx[617].text 委員講這句話我非常同意是不是可以在您的不管您有沒有留任在520之前應該有個初步的方案了吧我非常希望所以比如說像之前我們在處理社子島的時候我也是直接跟蔣市長直接溝通是的大彎段的這一個部分我們也打算這樣子來做
transcript.whisperx[618].start 15932.202
transcript.whisperx[618].end 15945.334
transcript.whisperx[618].text 好,重點是時間趕快做決定如果有要什麼補資料每一次都是補一點補一點二月五月十月各補充一個資料我看了這個東西就覺得我們內政部不應該是這樣的效能啊
transcript.whisperx[619].start 15946.376
transcript.whisperx[619].end 15946.917
transcript.whisperx[619].text 立法院內政部部長
transcript.whisperx[620].start 15967.429
transcript.whisperx[620].end 15977.183
transcript.whisperx[620].text 三月八號說部長把公文退回所以我到三月十八號今天還調不到任何涉及到相關進度的資料這是怎麼回事?是部長不想給我公文嗎?倒不是
transcript.whisperx[621].start 15982.128
transcript.whisperx[621].end 16010.108
transcript.whisperx[621].text 為什麼說部長把官員退回說我要再等呢 時間 抱歉委員我跟您報告一下因為最主要是因為我們都要看新聞才能知道內政部的訊息嗎倒不是 跟委員報告一下因為我跟蔣市長碰面是一個非常重大的一個改變所以我們很關心我們才需要知道內容啊 是如果這個內容我們都不清楚的話怎麼 這不是很重大嗎是當然重大 那應該要讓委員知道吧 是
transcript.whisperx[622].start 16010.868
transcript.whisperx[622].end 16035.67
transcript.whisperx[622].text 你到了18天的資料很抱歉我會請迪恩斯這邊趕快給你送過去所以現在的進度如何了現在的進度就是我跟蔣市長大概基本上有共識因為之前的大的都市計畫還有交通的問題基本上方向是值得要檢討那這蔣市長也同意那另外就是他的時程有沒有時程
transcript.whisperx[623].start 16037.128
transcript.whisperx[623].end 16046.915
transcript.whisperx[623].text 不要說同意,那時程怎麼樣?對,有兩個問題嘛,第一個他5%的社宅能不能做到裡面?他不需要,因為他的負擔已經超過50%,在那一天我們有溝通所以你不留社宅?
transcript.whisperx[624].start 16059.623
transcript.whisperx[624].end 16087.488
transcript.whisperx[624].text 不是,它裡面有那個就是要遷移的專用的那個是當地安置的對,那是安置的我們不強加,不要求臺北市要在裡面再多增加設宅這一點我們是可以同意的因為它的負擔已經超過50%第二個部分就是安置戶現在最擔心的就是這些人的安置還有所謂的替儲我只需要知道內政部有沒有規劃的時程
transcript.whisperx[625].start 16089.364
transcript.whisperx[625].end 16116.875
transcript.whisperx[625].text 提供時程。我想所有的居民都在等。臺北的最後發展也是這一塊。我也很希望能夠盡快讓他訂案。不過委員我跟您報告一下他有兩個問題。第一個最重要的是交通的問題必須要先訂案。所以我在這個禮拜我也會去拜訪侯友宜市長把這部分再把他。部長這些事情大家都很關心。所以把相關的進度都一一的跟我們做說明。給我一份完整的書面報告而不是這樣
transcript.whisperx[626].start 16117.515
transcript.whisperx[626].end 16121.136
transcript.whisperx[626].text 繼續我們請陳雪生陳雪生陳雪生委員不在林俊憲林俊憲林俊憲委員不在蘇清泉蘇清泉蘇清泉委員不在林德福林德福林德福委員不在
transcript.whisperx[627].start 16143.212
transcript.whisperx[627].end 16169.862
transcript.whisperx[627].text 謝依鳳 謝依鳳 謝依鳳委員不在游浩 游浩 游浩委員不在鍾嘉斌 鍾嘉斌 鍾嘉斌委員不在羅明才 羅明才 羅明才委員不在傅坤祺 傅坤祺 傅坤祺委員不在陳俊宇 陳俊宇 陳俊宇委員不在何新淳 何新淳 何新淳委員不在林思敏 林思敏 林思敏委員不在鄭振前 鄭振前 鄭振前委員不在
transcript.whisperx[628].start 16170.923
transcript.whisperx[628].end 16176.327
transcript.whisperx[628].text 紅夢凱 紅夢凱 紅夢凱委員不在羅廷偉 羅廷偉 羅廷偉委員不在繼續請王世堅委員質詢謝謝主席我請內政部林部長好 有請林部長謝謝主席
transcript.whisperx[629].start 16198.175
transcript.whisperx[629].end 16210.974
transcript.whisperx[629].text 部長兩個問題啦一個設施的開發第二個大灣北段我先說最近我看你們內政部的一些表現作為我覺得你們好像有點數饅頭的心態啦
transcript.whisperx[630].start 16213.497
transcript.whisperx[630].end 16234.403
transcript.whisperx[630].text 好像大家等著照畢業照的所以那些回答都蠻敷衍的啦比方說我現在先談社址島的開發我想社址島開發我相信部長也有相當的用心力但是整體給我們社會大眾尤其社址島居民的感覺覺得
transcript.whisperx[631].start 16236.704
transcript.whisperx[631].end 16263.661
transcript.whisperx[631].text 你們都是原地踏步沒有任何的進展我相信設施島你去看過就曉得那是幾乎已經到了不人道的對待啦設施島過了晚上八點像個鬼島一樣啦沒什麼公共建設衛生下水道沒有連一個基本的不要說醫院連一個診所都沒有
transcript.whisperx[632].start 16265.014
transcript.whisperx[632].end 16269.44
transcript.whisperx[632].text 路燈愛亮不亮亮一邊沒有任何的地標惡臭不堪
transcript.whisperx[633].start 16273.047
transcript.whisperx[633].end 16294.937
transcript.whisperx[633].text 攝氏島的居民忍受了70年好不容易30年前開始提到要開發政府先是問肚子餓了你要吃中餐還是西餐牛排好不好義大利麵好不好還是吃刺身麵問了30年問到現在還是回到原點肚子餓了你要吃什麼拜託
transcript.whisperx[634].start 16297.128
transcript.whisperx[634].end 16320.679
transcript.whisperx[634].text 你先給碗白飯吧總可以吧不是嗎這樣子欺負人那麼現在各項的民意調查97.5%的社址島居民都贊成要開發而且我們贊成的這個案是已經經過十幾二十年跟市政府的會商這叫社址島生態開發
transcript.whisperx[635].start 16325.026
transcript.whisperx[635].end 16349.278
transcript.whisperx[635].text 深海設施島的計畫可以滿足包括我們設施島居民也滿足環保團體的要求也滿足全體市民對設施島這樣兩岸流域難得的我們可以促進成為一個水岸城市這是共同的一個看法嘛結果送進來內政部三拖兩不拖就拖了三年多
transcript.whisperx[636].start 16350.534
transcript.whisperx[636].end 16377.387
transcript.whisperx[636].text 拖了三年多每次都大概大家耐性都耐不住就稍微問一下那內政部從先前幾年下來每次每拖了一年大家問就回一張文回個文簡簡單單五六十個字就打發掉意思就是說當地還有不同的意見那還要找各界再來研議
transcript.whisperx[637].start 16379.385
transcript.whisperx[637].end 16398.439
transcript.whisperx[637].text 隨隨便便搞了一年多回一個五六十個字拜託一天寫一個字也不用拖一年啊結果這樣三拖兩不拖就搞了三年多啦所以我認為部長我希望在你卸任之前以你的專業以我們大家對你的理解
transcript.whisperx[638].start 16407.163
transcript.whisperx[638].end 16429.563
transcript.whisperx[638].text 過去你在各項職務上面你的優良表現我相信你可以給社子島的開發做一個更精確的一個回覆跟判斷第一點現在就可以答應開發不是嗎現在就可以馬上進行不是嗎第二點現在在主腦在推研的還有什麼理由你的看法呢
transcript.whisperx[639].start 16430.333
transcript.whisperx[639].end 16446.112
transcript.whisperx[639].text 好,非常謝謝委員的指教我非常的贊成社子島的民眾應該要有更好的一個生活所以這個案子我也非常重視所以我上任之後我自己親自我開了不下10次的專案會議就是要去釐清這個問題
transcript.whisperx[640].start 16448.175
transcript.whisperx[640].end 16464.814
transcript.whisperx[640].text 我們非常希望臺北市政府其實有一個東西必須要確定也就是我那天跟蔣市長碰面的時候特別提到進到社子島的這個輕軌的系統臺北市必須要確定而且騎乘必須要出來
transcript.whisperx[641].start 16465.555
transcript.whisperx[641].end 16465.575
transcript.whisperx[641].text 吳蔣英
transcript.whisperx[642].start 16494.783
transcript.whisperx[642].end 16519.757
transcript.whisperx[642].text 秦桂計劃秦桂計劃要確定秦桂這是很好這我相信對設施到未來那在居住在使用上面確實這個會很大的幫助他是不要的他是不要的你有所不知的就是說臺北市現在光是北環東環南環光這三段啊因為這三年疫情那物價
transcript.whisperx[643].start 16521.838
transcript.whisperx[643].end 16525.824
transcript.whisperx[643].text 工資大幅上漲關於這3條我們現在差了就440億
transcript.whisperx[644].start 16527.731
transcript.whisperx[644].end 16556.766
transcript.whisperx[644].text 這是另外一個問題是我們市政府要來跟中央來請求補助的地方所以啊這個社址島的輕軌我用三個字啦台灣話講我們該預留這個軌道這個路線下來嘛但是不能以這個條件來框住社址島那時間有限我再跟你提一下大灣北段大灣北段那也是一個很離譜的事情
transcript.whisperx[645].start 16558.026
transcript.whisperx[645].end 16578.119
transcript.whisperx[645].text 人民有免於恐懼的自由住在大灣北段這1895每天成王成孔為什麼就怕市府來分區使用不當分區使用不符合他們會開罰這開罰6萬元一次可以連續罰第二次也是再6萬第三次除了罰金還要斷水斷電
transcript.whisperx[646].start 16584.992
transcript.whisperx[646].end 16600.153
transcript.whisperx[646].text 當北段絕大多數的居民窮一生之力難得買了這麼一戶房子要安家立業的結果要被這樣子所謂的使用分區不服而這個使用分區不服是建商導致的
transcript.whisperx[647].start 16600.794
transcript.whisperx[647].end 16612.862
transcript.whisperx[647].text 如果使用分區不符要導正回來過去就應該這一筆貸金回饋金就應該由建商來繳我們政府應該要的是要去要這些建商這十幾家建商蓋的這1890戶結果現在這1890戶透過市府透過議會說我們願意自己繳也算了一個金額
transcript.whisperx[648].start 16623.749
transcript.whisperx[648].end 16649.686
transcript.whisperx[648].text 一品算47,500送來內政部也是一拖拖三年不好意思霍主席因為難得有機會抱怨一下所以我跟部長講一下部長好不好這兩個案子我認為都刻不容緩迫不及待應該要趕快做一個明確的裁釋才對依你的專業我相信你可以做得到
transcript.whisperx[649].start 16650.467
transcript.whisperx[649].end 16651.45
transcript.whisperx[649].text 謝謝王思江委員的質詢,也謝謝部長的回應,謝謝
transcript.whisperx[650].start 16658.103
transcript.whisperx[650].end 16683.514
transcript.whisperx[650].text 登記發言委員除拜不在場之外:其餘都已經發言完畢了:詢答結束委員蔓玉珍、牛許廷、陳冠廷、林俊憲所提的書面質詢列入記錄刊登公報。書面質詢和未及答覆的部分請相關單位於一周之內以書面答覆並且複製本會本日的議程處理完畢我們現在休息3月20日繼續開會大家辛苦了謝謝
transcript.whisperx[651].start 16689.701
transcript.whisperx[651].end 16691.702
transcript.whisperx[651].text 委員會主席委員會主席