iVOD / 17273

Field Value
IVOD_ID 17273
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17273
日期 2026-03-17
會議資料.會議代碼 院會-11-5-3
會議資料.會議代碼:str 第11屆第5會期第3次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 3
會議資料.種類 院會
會議資料.標題 第11屆第5會期第3次會議
影片種類 Full
開始時間 2026-03-17T08:33:05+08:00
結束時間 2026-03-17T16:48:00+08:00
影片長度 08:14:55
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a60998c5ea45f88d6ea89369ad1af0873de2157d0edf07c12ea6df8f022bb19e46d15ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-03-17T09:00:00+08:00
會議名稱 第11屆第5會期第3次會議(事由:一、討論事項:本院台灣民眾黨黨團,建請院會作成決議:「本院秉持國家安全優先、強力捍衛領土完整之原則,若美方發價書明文公布之拖式、標槍飛彈續購及M109A7自走砲等三項對美軍購案簽約期程屆至之前尚未完成相關預算之審議,茲授權行政院先行與美方簽署發價書(LOA),以保障國家戰略利益。行政院應於簽署後即刻向立法院提出完整相關武器交貨期程報告,回歸審議常軌,履行行政院於預算編列前後完整說明之義務,不得再以『國家安全』為名,規避民主審議與理性監督。」是否有當?請公決案等2案。(3月13日)二、同意權之行使事項:本院內政、司法及法制兩委員會報告審查行政院函送中央選舉委員會委員提名名單,游盈隆為委員並為主任委員,胡博硯為委員並為副主任委員,黃文玲、李禮仲、蘇嘉宏、蘇子喬及陳宗義均為委員,請同意案。(3月13日)三、對行政院院長提出施政方針及施政報告繼續質詢。(3月17日)四、3月13日上午9時至10時為國是論壇時間。)
委員名稱 完整會議
委員發言時間 08:33:05 - 16:48:00
transcript.pyannote[0].speaker SPEAKER_39
transcript.pyannote[0].start 1755.77346875
transcript.pyannote[0].end 1770.26909375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 1771.16346875
transcript.pyannote[1].end 1785.11909375
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 1785.35534375
transcript.pyannote[2].end 1787.70096875
transcript.pyannote[3].speaker SPEAKER_39
transcript.pyannote[3].start 1789.01721875
transcript.pyannote[3].end 1791.91971875
transcript.pyannote[4].speaker SPEAKER_18
transcript.pyannote[4].start 1809.79034375
transcript.pyannote[4].end 1812.22034375
transcript.pyannote[5].speaker SPEAKER_38
transcript.pyannote[5].start 1812.65909375
transcript.pyannote[5].end 1813.41846875
transcript.pyannote[6].speaker SPEAKER_18
transcript.pyannote[6].start 1812.69284375
transcript.pyannote[6].end 1814.05971875
transcript.pyannote[7].speaker SPEAKER_38
transcript.pyannote[7].start 1814.05971875
transcript.pyannote[7].end 1817.11409375
transcript.pyannote[8].speaker SPEAKER_18
transcript.pyannote[8].start 1815.00471875
transcript.pyannote[8].end 1815.30846875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 1828.03221875
transcript.pyannote[9].end 1828.77471875
transcript.pyannote[10].speaker SPEAKER_18
transcript.pyannote[10].start 1828.96034375
transcript.pyannote[10].end 1829.41596875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 1828.97721875
transcript.pyannote[11].end 1828.99409375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 1829.09534375
transcript.pyannote[12].end 1829.80409375
transcript.pyannote[13].speaker SPEAKER_18
transcript.pyannote[13].start 1830.20909375
transcript.pyannote[13].end 1831.40721875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 1831.17096875
transcript.pyannote[14].end 1831.50846875
transcript.pyannote[15].speaker SPEAKER_18
transcript.pyannote[15].start 1832.28471875
transcript.pyannote[15].end 1851.16784375
transcript.pyannote[16].speaker SPEAKER_18
transcript.pyannote[16].start 1851.60659375
transcript.pyannote[16].end 1854.12096875
transcript.pyannote[17].speaker SPEAKER_18
transcript.pyannote[17].start 1854.39096875
transcript.pyannote[17].end 1855.48784375
transcript.pyannote[18].speaker SPEAKER_08
transcript.pyannote[18].start 1856.26409375
transcript.pyannote[18].end 1857.93471875
transcript.pyannote[19].speaker SPEAKER_08
transcript.pyannote[19].start 1858.30596875
transcript.pyannote[19].end 1864.75221875
transcript.pyannote[20].speaker SPEAKER_08
transcript.pyannote[20].start 1864.92096875
transcript.pyannote[20].end 1866.60846875
transcript.pyannote[21].speaker SPEAKER_08
transcript.pyannote[21].start 1867.03034375
transcript.pyannote[21].end 1869.66284375
transcript.pyannote[22].speaker SPEAKER_08
transcript.pyannote[22].start 1869.86534375
transcript.pyannote[22].end 1871.31659375
transcript.pyannote[23].speaker SPEAKER_08
transcript.pyannote[23].start 1871.46846875
transcript.pyannote[23].end 1873.64534375
transcript.pyannote[24].speaker SPEAKER_08
transcript.pyannote[24].start 1874.03346875
transcript.pyannote[24].end 1874.47221875
transcript.pyannote[25].speaker SPEAKER_08
transcript.pyannote[25].start 1874.67471875
transcript.pyannote[25].end 1876.68284375
transcript.pyannote[26].speaker SPEAKER_08
transcript.pyannote[26].start 1876.96971875
transcript.pyannote[26].end 1878.47159375
transcript.pyannote[27].speaker SPEAKER_18
transcript.pyannote[27].start 1878.16784375
transcript.pyannote[27].end 1879.90596875
transcript.pyannote[28].speaker SPEAKER_08
transcript.pyannote[28].start 1880.20971875
transcript.pyannote[28].end 1881.49221875
transcript.pyannote[29].speaker SPEAKER_18
transcript.pyannote[29].start 1881.30659375
transcript.pyannote[29].end 1883.85471875
transcript.pyannote[30].speaker SPEAKER_18
transcript.pyannote[30].start 1884.42846875
transcript.pyannote[30].end 1885.25534375
transcript.pyannote[31].speaker SPEAKER_08
transcript.pyannote[31].start 1886.06534375
transcript.pyannote[31].end 1891.34721875
transcript.pyannote[32].speaker SPEAKER_08
transcript.pyannote[32].start 1891.80284375
transcript.pyannote[32].end 1892.22471875
transcript.pyannote[33].speaker SPEAKER_08
transcript.pyannote[33].start 1892.54534375
transcript.pyannote[33].end 1894.72221875
transcript.pyannote[34].speaker SPEAKER_18
transcript.pyannote[34].start 1894.89096875
transcript.pyannote[34].end 1895.22846875
transcript.pyannote[35].speaker SPEAKER_18
transcript.pyannote[35].start 1895.81909375
transcript.pyannote[35].end 1896.74721875
transcript.pyannote[36].speaker SPEAKER_18
transcript.pyannote[36].start 1897.16909375
transcript.pyannote[36].end 1900.71284375
transcript.pyannote[37].speaker SPEAKER_18
transcript.pyannote[37].start 1901.01659375
transcript.pyannote[37].end 1905.16784375
transcript.pyannote[38].speaker SPEAKER_33
transcript.pyannote[38].start 1904.99909375
transcript.pyannote[38].end 1905.47159375
transcript.pyannote[39].speaker SPEAKER_18
transcript.pyannote[39].start 1905.43784375
transcript.pyannote[39].end 1916.72721875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 1917.21659375
transcript.pyannote[40].end 1922.02596875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 1922.43096875
transcript.pyannote[41].end 1924.70909375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 1924.75971875
transcript.pyannote[42].end 1928.38784375
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 1928.67471875
transcript.pyannote[43].end 1935.15471875
transcript.pyannote[44].speaker SPEAKER_18
transcript.pyannote[44].start 1934.09159375
transcript.pyannote[44].end 1934.56409375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 1935.99846875
transcript.pyannote[45].end 1937.53409375
transcript.pyannote[46].speaker SPEAKER_18
transcript.pyannote[46].start 1936.01534375
transcript.pyannote[46].end 1937.29784375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 1937.82096875
transcript.pyannote[47].end 1941.78659375
transcript.pyannote[48].speaker SPEAKER_18
transcript.pyannote[48].start 1942.42784375
transcript.pyannote[48].end 1942.44471875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 1942.44471875
transcript.pyannote[49].end 1942.96784375
transcript.pyannote[50].speaker SPEAKER_18
transcript.pyannote[50].start 1942.96784375
transcript.pyannote[50].end 1943.27159375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 1943.27159375
transcript.pyannote[51].end 1943.32221875
transcript.pyannote[52].speaker SPEAKER_18
transcript.pyannote[52].start 1943.32221875
transcript.pyannote[52].end 1943.86221875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 1943.86221875
transcript.pyannote[53].end 1943.96346875
transcript.pyannote[54].speaker SPEAKER_18
transcript.pyannote[54].start 1943.96346875
transcript.pyannote[54].end 1944.52034375
transcript.pyannote[55].speaker SPEAKER_18
transcript.pyannote[55].start 1945.14471875
transcript.pyannote[55].end 1945.56659375
transcript.pyannote[56].speaker SPEAKER_18
transcript.pyannote[56].start 1946.39346875
transcript.pyannote[56].end 1966.81221875
transcript.pyannote[57].speaker SPEAKER_22
transcript.pyannote[57].start 1967.30159375
transcript.pyannote[57].end 1968.16221875
transcript.pyannote[58].speaker SPEAKER_18
transcript.pyannote[58].start 1967.63909375
transcript.pyannote[58].end 1970.05221875
transcript.pyannote[59].speaker SPEAKER_18
transcript.pyannote[59].start 1970.49096875
transcript.pyannote[59].end 1973.64659375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 1973.64659375
transcript.pyannote[60].end 1973.66346875
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 1974.15284375
transcript.pyannote[61].end 1980.10971875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 1980.43034375
transcript.pyannote[62].end 1981.35846875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 1982.01659375
transcript.pyannote[63].end 1986.84284375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 1987.51784375
transcript.pyannote[64].end 1988.96909375
transcript.pyannote[65].speaker SPEAKER_18
transcript.pyannote[65].start 1988.96909375
transcript.pyannote[65].end 1989.03659375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 1989.03659375
transcript.pyannote[66].end 1989.44159375
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 1989.76221875
transcript.pyannote[67].end 1989.96471875
transcript.pyannote[68].speaker SPEAKER_18
transcript.pyannote[68].start 1989.96471875
transcript.pyannote[68].end 1990.03221875
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 1990.03221875
transcript.pyannote[69].end 1993.69409375
transcript.pyannote[70].speaker SPEAKER_18
transcript.pyannote[70].start 1990.72409375
transcript.pyannote[70].end 1991.26409375
transcript.pyannote[71].speaker SPEAKER_18
transcript.pyannote[71].start 1991.48346875
transcript.pyannote[71].end 1992.04034375
transcript.pyannote[72].speaker SPEAKER_18
transcript.pyannote[72].start 1992.81659375
transcript.pyannote[72].end 1993.10346875
transcript.pyannote[73].speaker SPEAKER_18
transcript.pyannote[73].start 1993.69409375
transcript.pyannote[73].end 1993.79534375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 1993.79534375
transcript.pyannote[74].end 1994.31846875
transcript.pyannote[75].speaker SPEAKER_18
transcript.pyannote[75].start 1994.31846875
transcript.pyannote[75].end 1994.45346875
transcript.pyannote[76].speaker SPEAKER_18
transcript.pyannote[76].start 1995.36471875
transcript.pyannote[76].end 2005.01721875
transcript.pyannote[77].speaker SPEAKER_02
transcript.pyannote[77].start 2005.23659375
transcript.pyannote[77].end 2008.45971875
transcript.pyannote[78].speaker SPEAKER_18
transcript.pyannote[78].start 2007.24471875
transcript.pyannote[78].end 2010.90659375
transcript.pyannote[79].speaker SPEAKER_08
transcript.pyannote[79].start 2011.24409375
transcript.pyannote[79].end 2018.33159375
transcript.pyannote[80].speaker SPEAKER_18
transcript.pyannote[80].start 2011.37909375
transcript.pyannote[80].end 2012.89784375
transcript.pyannote[81].speaker SPEAKER_08
transcript.pyannote[81].start 2018.73659375
transcript.pyannote[81].end 2031.79784375
transcript.pyannote[82].speaker SPEAKER_09
transcript.pyannote[82].start 2021.60534375
transcript.pyannote[82].end 2021.63909375
transcript.pyannote[83].speaker SPEAKER_15
transcript.pyannote[83].start 2021.63909375
transcript.pyannote[83].end 2021.94284375
transcript.pyannote[84].speaker SPEAKER_09
transcript.pyannote[84].start 2021.94284375
transcript.pyannote[84].end 2021.97659375
transcript.pyannote[85].speaker SPEAKER_09
transcript.pyannote[85].start 2027.62971875
transcript.pyannote[85].end 2027.64659375
transcript.pyannote[86].speaker SPEAKER_18
transcript.pyannote[86].start 2027.64659375
transcript.pyannote[86].end 2028.03471875
transcript.pyannote[87].speaker SPEAKER_18
transcript.pyannote[87].start 2031.86534375
transcript.pyannote[87].end 2037.07971875
transcript.pyannote[88].speaker SPEAKER_18
transcript.pyannote[88].start 2037.13034375
transcript.pyannote[88].end 2039.49284375
transcript.pyannote[89].speaker SPEAKER_08
transcript.pyannote[89].start 2038.19346875
transcript.pyannote[89].end 2038.24409375
transcript.pyannote[90].speaker SPEAKER_33
transcript.pyannote[90].start 2038.24409375
transcript.pyannote[90].end 2038.75034375
transcript.pyannote[91].speaker SPEAKER_33
transcript.pyannote[91].start 2039.45909375
transcript.pyannote[91].end 2039.91471875
transcript.pyannote[92].speaker SPEAKER_18
transcript.pyannote[92].start 2039.93159375
transcript.pyannote[92].end 2046.54659375
transcript.pyannote[93].speaker SPEAKER_18
transcript.pyannote[93].start 2046.74909375
transcript.pyannote[93].end 2048.63909375
transcript.pyannote[94].speaker SPEAKER_33
transcript.pyannote[94].start 2048.79096875
transcript.pyannote[94].end 2049.11159375
transcript.pyannote[95].speaker SPEAKER_33
transcript.pyannote[95].start 2049.26346875
transcript.pyannote[95].end 2049.28034375
transcript.pyannote[96].speaker SPEAKER_18
transcript.pyannote[96].start 2049.28034375
transcript.pyannote[96].end 2063.37096875
transcript.pyannote[97].speaker SPEAKER_33
transcript.pyannote[97].start 2049.29721875
transcript.pyannote[97].end 2050.51221875
transcript.pyannote[98].speaker SPEAKER_18
transcript.pyannote[98].start 2064.82221875
transcript.pyannote[98].end 2069.22659375
transcript.pyannote[99].speaker SPEAKER_08
transcript.pyannote[99].start 2069.47971875
transcript.pyannote[99].end 2069.95221875
transcript.pyannote[100].speaker SPEAKER_08
transcript.pyannote[100].start 2070.10409375
transcript.pyannote[100].end 2079.65534375
transcript.pyannote[101].speaker SPEAKER_08
transcript.pyannote[101].start 2079.87471875
transcript.pyannote[101].end 2083.65471875
transcript.pyannote[102].speaker SPEAKER_18
transcript.pyannote[102].start 2081.84909375
transcript.pyannote[102].end 2083.58721875
transcript.pyannote[103].speaker SPEAKER_18
transcript.pyannote[103].start 2083.95846875
transcript.pyannote[103].end 2084.38034375
transcript.pyannote[104].speaker SPEAKER_18
transcript.pyannote[104].start 2084.83596875
transcript.pyannote[104].end 2086.15221875
transcript.pyannote[105].speaker SPEAKER_18
transcript.pyannote[105].start 2086.74284375
transcript.pyannote[105].end 2141.46846875
transcript.pyannote[106].speaker SPEAKER_33
transcript.pyannote[106].start 2095.95659375
transcript.pyannote[106].end 2096.04096875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 2140.67534375
transcript.pyannote[107].end 2142.71721875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 2142.78471875
transcript.pyannote[108].end 2153.70284375
transcript.pyannote[109].speaker SPEAKER_18
transcript.pyannote[109].start 2143.54409375
transcript.pyannote[109].end 2144.20221875
transcript.pyannote[110].speaker SPEAKER_18
transcript.pyannote[110].start 2145.36659375
transcript.pyannote[110].end 2146.15971875
transcript.pyannote[111].speaker SPEAKER_18
transcript.pyannote[111].start 2146.27784375
transcript.pyannote[111].end 2146.95284375
transcript.pyannote[112].speaker SPEAKER_18
transcript.pyannote[112].start 2148.31971875
transcript.pyannote[112].end 2150.19284375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 2154.10784375
transcript.pyannote[113].end 2155.96409375
transcript.pyannote[114].speaker SPEAKER_18
transcript.pyannote[114].start 2154.56346875
transcript.pyannote[114].end 2154.58034375
transcript.pyannote[115].speaker SPEAKER_18
transcript.pyannote[115].start 2155.96409375
transcript.pyannote[115].end 2159.01846875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 2157.98909375
transcript.pyannote[116].end 2171.48909375
transcript.pyannote[117].speaker SPEAKER_18
transcript.pyannote[117].start 2164.04721875
transcript.pyannote[117].end 2165.36346875
transcript.pyannote[118].speaker SPEAKER_18
transcript.pyannote[118].start 2165.90346875
transcript.pyannote[118].end 2166.64596875
transcript.pyannote[119].speaker SPEAKER_18
transcript.pyannote[119].start 2167.10159375
transcript.pyannote[119].end 2168.14784375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 2171.82659375
transcript.pyannote[120].end 2184.61784375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 2177.05784375
transcript.pyannote[121].end 2177.10846875
transcript.pyannote[122].speaker SPEAKER_33
transcript.pyannote[122].start 2177.10846875
transcript.pyannote[122].end 2177.12534375
transcript.pyannote[123].speaker SPEAKER_18
transcript.pyannote[123].start 2177.12534375
transcript.pyannote[123].end 2177.88471875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 2177.88471875
transcript.pyannote[124].end 2177.95221875
transcript.pyannote[125].speaker SPEAKER_18
transcript.pyannote[125].start 2182.20471875
transcript.pyannote[125].end 2182.23846875
transcript.pyannote[126].speaker SPEAKER_18
transcript.pyannote[126].start 2183.84159375
transcript.pyannote[126].end 2190.43971875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 2189.44409375
transcript.pyannote[127].end 2190.97971875
transcript.pyannote[128].speaker SPEAKER_18
transcript.pyannote[128].start 2191.06409375
transcript.pyannote[128].end 2192.78534375
transcript.pyannote[129].speaker SPEAKER_18
transcript.pyannote[129].start 2193.17346875
transcript.pyannote[129].end 2212.95096875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 2213.18721875
transcript.pyannote[130].end 2214.85784375
transcript.pyannote[131].speaker SPEAKER_18
transcript.pyannote[131].start 2215.56659375
transcript.pyannote[131].end 2218.26659375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 2215.80284375
transcript.pyannote[132].end 2216.39346875
transcript.pyannote[133].speaker SPEAKER_02
transcript.pyannote[133].start 2216.49471875
transcript.pyannote[133].end 2216.96721875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 2219.09346875
transcript.pyannote[134].end 2220.88221875
transcript.pyannote[135].speaker SPEAKER_18
transcript.pyannote[135].start 2219.54909375
transcript.pyannote[135].end 2229.21846875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 2229.21846875
transcript.pyannote[136].end 2229.52221875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 2229.79221875
transcript.pyannote[137].end 2238.97221875
transcript.pyannote[138].speaker SPEAKER_18
transcript.pyannote[138].start 2237.16659375
transcript.pyannote[138].end 2237.84159375
transcript.pyannote[139].speaker SPEAKER_18
transcript.pyannote[139].start 2238.97221875
transcript.pyannote[139].end 2247.44346875
transcript.pyannote[140].speaker SPEAKER_18
transcript.pyannote[140].start 2247.66284375
transcript.pyannote[140].end 2260.31909375
transcript.pyannote[141].speaker SPEAKER_18
transcript.pyannote[141].start 2260.90971875
transcript.pyannote[141].end 2272.30034375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 2270.42721875
transcript.pyannote[142].end 2270.71409375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 2272.30034375
transcript.pyannote[143].end 2272.43534375
transcript.pyannote[144].speaker SPEAKER_18
transcript.pyannote[144].start 2272.43534375
transcript.pyannote[144].end 2272.55346875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 2272.55346875
transcript.pyannote[145].end 2272.75596875
transcript.pyannote[146].speaker SPEAKER_18
transcript.pyannote[146].start 2272.75596875
transcript.pyannote[146].end 2272.82346875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 2272.82346875
transcript.pyannote[147].end 2272.85721875
transcript.pyannote[148].speaker SPEAKER_18
transcript.pyannote[148].start 2272.85721875
transcript.pyannote[148].end 2276.50221875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 2272.89096875
transcript.pyannote[149].end 2273.83596875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 2273.98784375
transcript.pyannote[150].end 2274.22409375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 2277.04221875
transcript.pyannote[151].end 2277.32909375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 2277.51471875
transcript.pyannote[152].end 2282.72909375
transcript.pyannote[153].speaker SPEAKER_18
transcript.pyannote[153].start 2281.07534375
transcript.pyannote[153].end 2300.22846875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 2300.80221875
transcript.pyannote[154].end 2321.86221875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 2306.84346875
transcript.pyannote[155].end 2306.86034375
transcript.pyannote[156].speaker SPEAKER_18
transcript.pyannote[156].start 2306.86034375
transcript.pyannote[156].end 2307.04596875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 2307.04596875
transcript.pyannote[157].end 2307.78846875
transcript.pyannote[158].speaker SPEAKER_18
transcript.pyannote[158].start 2307.78846875
transcript.pyannote[158].end 2307.88971875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 2307.88971875
transcript.pyannote[159].end 2308.29471875
transcript.pyannote[160].speaker SPEAKER_18
transcript.pyannote[160].start 2319.73596875
transcript.pyannote[160].end 2320.24221875
transcript.pyannote[161].speaker SPEAKER_18
transcript.pyannote[161].start 2321.08596875
transcript.pyannote[161].end 2322.77346875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 2322.77346875
transcript.pyannote[162].end 2322.92534375
transcript.pyannote[163].speaker SPEAKER_18
transcript.pyannote[163].start 2322.92534375
transcript.pyannote[163].end 2323.02659375
transcript.pyannote[164].speaker SPEAKER_18
transcript.pyannote[164].start 2323.24596875
transcript.pyannote[164].end 2341.52159375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 2334.14721875
transcript.pyannote[165].end 2334.97409375
transcript.pyannote[166].speaker SPEAKER_18
transcript.pyannote[166].start 2341.69034375
transcript.pyannote[166].end 2342.36534375
transcript.pyannote[167].speaker SPEAKER_18
transcript.pyannote[167].start 2342.93909375
transcript.pyannote[167].end 2344.54221875
transcript.pyannote[168].speaker SPEAKER_18
transcript.pyannote[168].start 2345.25096875
transcript.pyannote[168].end 2345.26784375
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 2345.26784375
transcript.pyannote[169].end 2347.12409375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 2347.47846875
transcript.pyannote[170].end 2355.49409375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 2355.78096875
transcript.pyannote[171].end 2364.64034375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 2365.24784375
transcript.pyannote[172].end 2367.96471875
transcript.pyannote[173].speaker SPEAKER_18
transcript.pyannote[173].start 2367.96471875
transcript.pyannote[173].end 2376.99284375
transcript.pyannote[174].speaker SPEAKER_18
transcript.pyannote[174].start 2377.46534375
transcript.pyannote[174].end 2380.46909375
transcript.pyannote[175].speaker SPEAKER_18
transcript.pyannote[175].start 2381.12721875
transcript.pyannote[175].end 2382.96659375
transcript.pyannote[176].speaker SPEAKER_18
transcript.pyannote[176].start 2383.37159375
transcript.pyannote[176].end 2394.62721875
transcript.pyannote[177].speaker SPEAKER_09
transcript.pyannote[177].start 2384.14784375
transcript.pyannote[177].end 2385.85221875
transcript.pyannote[178].speaker SPEAKER_09
transcript.pyannote[178].start 2386.37534375
transcript.pyannote[178].end 2387.80971875
transcript.pyannote[179].speaker SPEAKER_20
transcript.pyannote[179].start 2388.83909375
transcript.pyannote[179].end 2389.37909375
transcript.pyannote[180].speaker SPEAKER_18
transcript.pyannote[180].start 2394.67784375
transcript.pyannote[180].end 2396.61846875
transcript.pyannote[181].speaker SPEAKER_18
transcript.pyannote[181].start 2396.80409375
transcript.pyannote[181].end 2402.27159375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 2399.06534375
transcript.pyannote[182].end 2400.11159375
transcript.pyannote[183].speaker SPEAKER_18
transcript.pyannote[183].start 2402.52471875
transcript.pyannote[183].end 2404.81971875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 2403.36846875
transcript.pyannote[184].end 2406.96284375
transcript.pyannote[185].speaker SPEAKER_18
transcript.pyannote[185].start 2406.96284375
transcript.pyannote[185].end 2407.03034375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 2407.03034375
transcript.pyannote[186].end 2413.25721875
transcript.pyannote[187].speaker SPEAKER_18
transcript.pyannote[187].start 2408.63346875
transcript.pyannote[187].end 2409.44346875
transcript.pyannote[188].speaker SPEAKER_18
transcript.pyannote[188].start 2410.21971875
transcript.pyannote[188].end 2410.55721875
transcript.pyannote[189].speaker SPEAKER_18
transcript.pyannote[189].start 2411.09721875
transcript.pyannote[189].end 2412.10971875
transcript.pyannote[190].speaker SPEAKER_18
transcript.pyannote[190].start 2412.97034375
transcript.pyannote[190].end 2415.26534375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 2414.10096875
transcript.pyannote[191].end 2426.94284375
transcript.pyannote[192].speaker SPEAKER_18
transcript.pyannote[192].start 2426.94284375
transcript.pyannote[192].end 2443.10909375
transcript.pyannote[193].speaker SPEAKER_18
transcript.pyannote[193].start 2443.68284375
transcript.pyannote[193].end 2448.93096875
transcript.pyannote[194].speaker SPEAKER_18
transcript.pyannote[194].start 2448.99846875
transcript.pyannote[194].end 2451.09096875
transcript.pyannote[195].speaker SPEAKER_08
transcript.pyannote[195].start 2450.41596875
transcript.pyannote[195].end 2454.49971875
transcript.pyannote[196].speaker SPEAKER_08
transcript.pyannote[196].start 2455.05659375
transcript.pyannote[196].end 2459.44409375
transcript.pyannote[197].speaker SPEAKER_08
transcript.pyannote[197].start 2459.83221875
transcript.pyannote[197].end 2460.35534375
transcript.pyannote[198].speaker SPEAKER_08
transcript.pyannote[198].start 2460.72659375
transcript.pyannote[198].end 2464.84409375
transcript.pyannote[199].speaker SPEAKER_08
transcript.pyannote[199].start 2465.11409375
transcript.pyannote[199].end 2465.63721875
transcript.pyannote[200].speaker SPEAKER_08
transcript.pyannote[200].start 2466.12659375
transcript.pyannote[200].end 2466.78471875
transcript.pyannote[201].speaker SPEAKER_08
transcript.pyannote[201].start 2466.86909375
transcript.pyannote[201].end 2471.77971875
transcript.pyannote[202].speaker SPEAKER_18
transcript.pyannote[202].start 2470.07534375
transcript.pyannote[202].end 2475.15471875
transcript.pyannote[203].speaker SPEAKER_18
transcript.pyannote[203].start 2475.94784375
transcript.pyannote[203].end 2490.20721875
transcript.pyannote[204].speaker SPEAKER_18
transcript.pyannote[204].start 2490.62909375
transcript.pyannote[204].end 2492.80596875
transcript.pyannote[205].speaker SPEAKER_08
transcript.pyannote[205].start 2491.97909375
transcript.pyannote[205].end 2498.34096875
transcript.pyannote[206].speaker SPEAKER_18
transcript.pyannote[206].start 2495.21909375
transcript.pyannote[206].end 2495.59034375
transcript.pyannote[207].speaker SPEAKER_18
transcript.pyannote[207].start 2495.94471875
transcript.pyannote[207].end 2496.46784375
transcript.pyannote[208].speaker SPEAKER_18
transcript.pyannote[208].start 2497.49721875
transcript.pyannote[208].end 2498.07096875
transcript.pyannote[209].speaker SPEAKER_18
transcript.pyannote[209].start 2498.34096875
transcript.pyannote[209].end 2502.77909375
transcript.pyannote[210].speaker SPEAKER_18
transcript.pyannote[210].start 2503.57221875
transcript.pyannote[210].end 2516.65034375
transcript.pyannote[211].speaker SPEAKER_15
transcript.pyannote[211].start 2511.67221875
transcript.pyannote[211].end 2512.19534375
transcript.pyannote[212].speaker SPEAKER_18
transcript.pyannote[212].start 2519.01284375
transcript.pyannote[212].end 2527.99034375
transcript.pyannote[213].speaker SPEAKER_18
transcript.pyannote[213].start 2528.53034375
transcript.pyannote[213].end 2529.77909375
transcript.pyannote[214].speaker SPEAKER_18
transcript.pyannote[214].start 2529.99846875
transcript.pyannote[214].end 2530.65659375
transcript.pyannote[215].speaker SPEAKER_18
transcript.pyannote[215].start 2531.36534375
transcript.pyannote[215].end 2531.98971875
transcript.pyannote[216].speaker SPEAKER_18
transcript.pyannote[216].start 2532.42846875
transcript.pyannote[216].end 2533.08659375
transcript.pyannote[217].speaker SPEAKER_18
transcript.pyannote[217].start 2533.44096875
transcript.pyannote[217].end 2535.34784375
transcript.pyannote[218].speaker SPEAKER_18
transcript.pyannote[218].start 2535.55034375
transcript.pyannote[218].end 2537.55846875
transcript.pyannote[219].speaker SPEAKER_18
transcript.pyannote[219].start 2538.36846875
transcript.pyannote[219].end 2550.33284375
transcript.pyannote[220].speaker SPEAKER_18
transcript.pyannote[220].start 2550.34971875
transcript.pyannote[220].end 2551.31159375
transcript.pyannote[221].speaker SPEAKER_18
transcript.pyannote[221].start 2551.44659375
transcript.pyannote[221].end 2555.76659375
transcript.pyannote[222].speaker SPEAKER_18
transcript.pyannote[222].start 2556.39096875
transcript.pyannote[222].end 2557.97721875
transcript.pyannote[223].speaker SPEAKER_18
transcript.pyannote[223].start 2558.46659375
transcript.pyannote[223].end 2559.44534375
transcript.pyannote[224].speaker SPEAKER_18
transcript.pyannote[224].start 2560.23846875
transcript.pyannote[224].end 2561.23409375
transcript.pyannote[225].speaker SPEAKER_18
transcript.pyannote[225].start 2561.53784375
transcript.pyannote[225].end 2562.60096875
transcript.pyannote[226].speaker SPEAKER_18
transcript.pyannote[226].start 2563.37721875
transcript.pyannote[226].end 2573.28284375
transcript.pyannote[227].speaker SPEAKER_18
transcript.pyannote[227].start 2573.75534375
transcript.pyannote[227].end 2577.45096875
transcript.pyannote[228].speaker SPEAKER_18
transcript.pyannote[228].start 2578.14284375
transcript.pyannote[228].end 2581.92284375
transcript.pyannote[229].speaker SPEAKER_18
transcript.pyannote[229].start 2582.59784375
transcript.pyannote[229].end 2586.88409375
transcript.pyannote[230].speaker SPEAKER_18
transcript.pyannote[230].start 2587.22159375
transcript.pyannote[230].end 2589.16221875
transcript.pyannote[231].speaker SPEAKER_18
transcript.pyannote[231].start 2589.55034375
transcript.pyannote[231].end 2594.66346875
transcript.pyannote[232].speaker SPEAKER_33
transcript.pyannote[232].start 2594.59596875
transcript.pyannote[232].end 2595.25409375
transcript.pyannote[233].speaker SPEAKER_18
transcript.pyannote[233].start 2594.78159375
transcript.pyannote[233].end 2598.62909375
transcript.pyannote[234].speaker SPEAKER_18
transcript.pyannote[234].start 2598.96659375
transcript.pyannote[234].end 2608.55159375
transcript.pyannote[235].speaker SPEAKER_18
transcript.pyannote[235].start 2608.70346875
transcript.pyannote[235].end 2616.95534375
transcript.pyannote[236].speaker SPEAKER_18
transcript.pyannote[236].start 2617.19159375
transcript.pyannote[236].end 2627.23221875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 2618.76096875
transcript.pyannote[237].end 2620.16159375
transcript.pyannote[238].speaker SPEAKER_18
transcript.pyannote[238].start 2628.51471875
transcript.pyannote[238].end 2631.18096875
transcript.pyannote[239].speaker SPEAKER_18
transcript.pyannote[239].start 2631.73784375
transcript.pyannote[239].end 2634.42096875
transcript.pyannote[240].speaker SPEAKER_27
transcript.pyannote[240].start 2632.15971875
transcript.pyannote[240].end 2636.20971875
transcript.pyannote[241].speaker SPEAKER_18
transcript.pyannote[241].start 2636.14221875
transcript.pyannote[241].end 2647.34721875
transcript.pyannote[242].speaker SPEAKER_18
transcript.pyannote[242].start 2647.56659375
transcript.pyannote[242].end 2654.33346875
transcript.pyannote[243].speaker SPEAKER_18
transcript.pyannote[243].start 2655.71721875
transcript.pyannote[243].end 2656.24034375
transcript.pyannote[244].speaker SPEAKER_27
transcript.pyannote[244].start 2656.66221875
transcript.pyannote[244].end 2666.29784375
transcript.pyannote[245].speaker SPEAKER_27
transcript.pyannote[245].start 2666.68596875
transcript.pyannote[245].end 2673.33471875
transcript.pyannote[246].speaker SPEAKER_18
transcript.pyannote[246].start 2673.45284375
transcript.pyannote[246].end 2674.04346875
transcript.pyannote[247].speaker SPEAKER_27
transcript.pyannote[247].start 2673.73971875
transcript.pyannote[247].end 2673.99284375
transcript.pyannote[248].speaker SPEAKER_18
transcript.pyannote[248].start 2674.85346875
transcript.pyannote[248].end 2677.36784375
transcript.pyannote[249].speaker SPEAKER_18
transcript.pyannote[249].start 2677.50284375
transcript.pyannote[249].end 2694.79971875
transcript.pyannote[250].speaker SPEAKER_18
transcript.pyannote[250].start 2695.03596875
transcript.pyannote[250].end 2702.24159375
transcript.pyannote[251].speaker SPEAKER_18
transcript.pyannote[251].start 2702.37659375
transcript.pyannote[251].end 2705.44784375
transcript.pyannote[252].speaker SPEAKER_18
transcript.pyannote[252].start 2706.07221875
transcript.pyannote[252].end 2707.18596875
transcript.pyannote[253].speaker SPEAKER_18
transcript.pyannote[253].start 2708.65409375
transcript.pyannote[253].end 2709.05909375
transcript.pyannote[254].speaker SPEAKER_18
transcript.pyannote[254].start 2709.29534375
transcript.pyannote[254].end 2710.45971875
transcript.pyannote[255].speaker SPEAKER_18
transcript.pyannote[255].start 2711.79284375
transcript.pyannote[255].end 2718.61034375
transcript.pyannote[256].speaker SPEAKER_18
transcript.pyannote[256].start 2719.60596875
transcript.pyannote[256].end 2723.20034375
transcript.pyannote[257].speaker SPEAKER_18
transcript.pyannote[257].start 2723.65596875
transcript.pyannote[257].end 2728.38096875
transcript.pyannote[258].speaker SPEAKER_18
transcript.pyannote[258].start 2728.93784375
transcript.pyannote[258].end 2730.57471875
transcript.pyannote[259].speaker SPEAKER_18
transcript.pyannote[259].start 2730.96284375
transcript.pyannote[259].end 2734.23659375
transcript.pyannote[260].speaker SPEAKER_18
transcript.pyannote[260].start 2735.04659375
transcript.pyannote[260].end 2736.66659375
transcript.pyannote[261].speaker SPEAKER_27
transcript.pyannote[261].start 2736.78471875
transcript.pyannote[261].end 2747.51721875
transcript.pyannote[262].speaker SPEAKER_27
transcript.pyannote[262].start 2747.93909375
transcript.pyannote[262].end 2752.02284375
transcript.pyannote[263].speaker SPEAKER_14
transcript.pyannote[263].start 2751.24659375
transcript.pyannote[263].end 2751.92159375
transcript.pyannote[264].speaker SPEAKER_18
transcript.pyannote[264].start 2752.02284375
transcript.pyannote[264].end 2752.14096875
transcript.pyannote[265].speaker SPEAKER_27
transcript.pyannote[265].start 2752.14096875
transcript.pyannote[265].end 2752.25909375
transcript.pyannote[266].speaker SPEAKER_18
transcript.pyannote[266].start 2752.25909375
transcript.pyannote[266].end 2753.03534375
transcript.pyannote[267].speaker SPEAKER_09
transcript.pyannote[267].start 2753.22096875
transcript.pyannote[267].end 2753.23784375
transcript.pyannote[268].speaker SPEAKER_18
transcript.pyannote[268].start 2753.23784375
transcript.pyannote[268].end 2753.25471875
transcript.pyannote[269].speaker SPEAKER_27
transcript.pyannote[269].start 2753.25471875
transcript.pyannote[269].end 2766.46784375
transcript.pyannote[270].speaker SPEAKER_18
transcript.pyannote[270].start 2766.06284375
transcript.pyannote[270].end 2766.55221875
transcript.pyannote[271].speaker SPEAKER_18
transcript.pyannote[271].start 2767.02471875
transcript.pyannote[271].end 2770.88909375
transcript.pyannote[272].speaker SPEAKER_27
transcript.pyannote[272].start 2770.88909375
transcript.pyannote[272].end 2771.69909375
transcript.pyannote[273].speaker SPEAKER_18
transcript.pyannote[273].start 2771.69909375
transcript.pyannote[273].end 2812.03034375
transcript.pyannote[274].speaker SPEAKER_27
transcript.pyannote[274].start 2771.76659375
transcript.pyannote[274].end 2772.47534375
transcript.pyannote[275].speaker SPEAKER_27
transcript.pyannote[275].start 2773.04909375
transcript.pyannote[275].end 2773.48784375
transcript.pyannote[276].speaker SPEAKER_14
transcript.pyannote[276].start 2791.91534375
transcript.pyannote[276].end 2793.97409375
transcript.pyannote[277].speaker SPEAKER_26
transcript.pyannote[277].start 2793.97409375
transcript.pyannote[277].end 2794.48034375
transcript.pyannote[278].speaker SPEAKER_33
transcript.pyannote[278].start 2794.48034375
transcript.pyannote[278].end 2794.53096875
transcript.pyannote[279].speaker SPEAKER_33
transcript.pyannote[279].start 2796.89346875
transcript.pyannote[279].end 2798.02409375
transcript.pyannote[280].speaker SPEAKER_09
transcript.pyannote[280].start 2798.02409375
transcript.pyannote[280].end 2798.36159375
transcript.pyannote[281].speaker SPEAKER_33
transcript.pyannote[281].start 2801.55096875
transcript.pyannote[281].end 2801.58471875
transcript.pyannote[282].speaker SPEAKER_09
transcript.pyannote[282].start 2801.58471875
transcript.pyannote[282].end 2802.46221875
transcript.pyannote[283].speaker SPEAKER_09
transcript.pyannote[283].start 2803.44096875
transcript.pyannote[283].end 2803.77846875
transcript.pyannote[284].speaker SPEAKER_18
transcript.pyannote[284].start 2812.53659375
transcript.pyannote[284].end 2818.84784375
transcript.pyannote[285].speaker SPEAKER_18
transcript.pyannote[285].start 2819.15159375
transcript.pyannote[285].end 2821.12596875
transcript.pyannote[286].speaker SPEAKER_08
transcript.pyannote[286].start 2821.12596875
transcript.pyannote[286].end 2827.92659375
transcript.pyannote[287].speaker SPEAKER_13
transcript.pyannote[287].start 2826.59346875
transcript.pyannote[287].end 2826.61034375
transcript.pyannote[288].speaker SPEAKER_18
transcript.pyannote[288].start 2826.61034375
transcript.pyannote[288].end 2828.46659375
transcript.pyannote[289].speaker SPEAKER_08
transcript.pyannote[289].start 2828.11221875
transcript.pyannote[289].end 2831.58846875
transcript.pyannote[290].speaker SPEAKER_18
transcript.pyannote[290].start 2829.17534375
transcript.pyannote[290].end 2829.91784375
transcript.pyannote[291].speaker SPEAKER_18
transcript.pyannote[291].start 2830.55909375
transcript.pyannote[291].end 2833.19159375
transcript.pyannote[292].speaker SPEAKER_08
transcript.pyannote[292].start 2832.82034375
transcript.pyannote[292].end 2839.73909375
transcript.pyannote[293].speaker SPEAKER_08
transcript.pyannote[293].start 2840.27909375
transcript.pyannote[293].end 2848.64909375
transcript.pyannote[294].speaker SPEAKER_09
transcript.pyannote[294].start 2845.88159375
transcript.pyannote[294].end 2846.72534375
transcript.pyannote[295].speaker SPEAKER_09
transcript.pyannote[295].start 2848.64909375
transcript.pyannote[295].end 2852.34471875
transcript.pyannote[296].speaker SPEAKER_08
transcript.pyannote[296].start 2848.95284375
transcript.pyannote[296].end 2849.52659375
transcript.pyannote[297].speaker SPEAKER_08
transcript.pyannote[297].start 2849.93159375
transcript.pyannote[297].end 2858.97659375
transcript.pyannote[298].speaker SPEAKER_09
transcript.pyannote[298].start 2853.45846875
transcript.pyannote[298].end 2854.08284375
transcript.pyannote[299].speaker SPEAKER_27
transcript.pyannote[299].start 2858.97659375
transcript.pyannote[299].end 2884.30596875
transcript.pyannote[300].speaker SPEAKER_18
transcript.pyannote[300].start 2880.59346875
transcript.pyannote[300].end 2880.79596875
transcript.pyannote[301].speaker SPEAKER_18
transcript.pyannote[301].start 2882.28096875
transcript.pyannote[301].end 2882.73659375
transcript.pyannote[302].speaker SPEAKER_18
transcript.pyannote[302].start 2883.58034375
transcript.pyannote[302].end 2885.84159375
transcript.pyannote[303].speaker SPEAKER_18
transcript.pyannote[303].start 2886.48284375
transcript.pyannote[303].end 2895.00471875
transcript.pyannote[304].speaker SPEAKER_27
transcript.pyannote[304].start 2895.00471875
transcript.pyannote[304].end 2895.54471875
transcript.pyannote[305].speaker SPEAKER_18
transcript.pyannote[305].start 2895.69659375
transcript.pyannote[305].end 2910.96846875
transcript.pyannote[306].speaker SPEAKER_27
transcript.pyannote[306].start 2897.11409375
transcript.pyannote[306].end 2897.68784375
transcript.pyannote[307].speaker SPEAKER_18
transcript.pyannote[307].start 2911.55909375
transcript.pyannote[307].end 2914.39409375
transcript.pyannote[308].speaker SPEAKER_00
transcript.pyannote[308].start 2912.80784375
transcript.pyannote[308].end 2912.87534375
transcript.pyannote[309].speaker SPEAKER_33
transcript.pyannote[309].start 2912.87534375
transcript.pyannote[309].end 2912.97659375
transcript.pyannote[310].speaker SPEAKER_18
transcript.pyannote[310].start 2915.03534375
transcript.pyannote[310].end 2920.89096875
transcript.pyannote[311].speaker SPEAKER_18
transcript.pyannote[311].start 2921.51534375
transcript.pyannote[311].end 2924.80596875
transcript.pyannote[312].speaker SPEAKER_18
transcript.pyannote[312].start 2924.94096875
transcript.pyannote[312].end 2930.08784375
transcript.pyannote[313].speaker SPEAKER_18
transcript.pyannote[313].start 2930.77971875
transcript.pyannote[313].end 2944.00971875
transcript.pyannote[314].speaker SPEAKER_14
transcript.pyannote[314].start 2933.66534375
transcript.pyannote[314].end 2936.71971875
transcript.pyannote[315].speaker SPEAKER_27
transcript.pyannote[315].start 2944.00971875
transcript.pyannote[315].end 2954.97846875
transcript.pyannote[316].speaker SPEAKER_18
transcript.pyannote[316].start 2955.56909375
transcript.pyannote[316].end 2955.78846875
transcript.pyannote[317].speaker SPEAKER_18
transcript.pyannote[317].start 2956.22721875
transcript.pyannote[317].end 2965.50846875
transcript.pyannote[318].speaker SPEAKER_08
transcript.pyannote[318].start 2962.33596875
transcript.pyannote[318].end 2962.89284375
transcript.pyannote[319].speaker SPEAKER_08
transcript.pyannote[319].start 2963.68596875
transcript.pyannote[319].end 2963.71971875
transcript.pyannote[320].speaker SPEAKER_08
transcript.pyannote[320].start 2964.09096875
transcript.pyannote[320].end 2968.14096875
transcript.pyannote[321].speaker SPEAKER_18
transcript.pyannote[321].start 2966.20034375
transcript.pyannote[321].end 2969.82846875
transcript.pyannote[322].speaker SPEAKER_18
transcript.pyannote[322].start 2969.91284375
transcript.pyannote[322].end 2972.71409375
transcript.pyannote[323].speaker SPEAKER_18
transcript.pyannote[323].start 2972.84909375
transcript.pyannote[323].end 2979.58221875
transcript.pyannote[324].speaker SPEAKER_18
transcript.pyannote[324].start 2980.13909375
transcript.pyannote[324].end 3002.95409375
transcript.pyannote[325].speaker SPEAKER_27
transcript.pyannote[325].start 3002.95409375
transcript.pyannote[325].end 3012.69096875
transcript.pyannote[326].speaker SPEAKER_27
transcript.pyannote[326].start 3012.92721875
transcript.pyannote[326].end 3022.51221875
transcript.pyannote[327].speaker SPEAKER_27
transcript.pyannote[327].start 3022.54596875
transcript.pyannote[327].end 3033.10971875
transcript.pyannote[328].speaker SPEAKER_18
transcript.pyannote[328].start 3031.30409375
transcript.pyannote[328].end 3032.83971875
transcript.pyannote[329].speaker SPEAKER_18
transcript.pyannote[329].start 3033.10971875
transcript.pyannote[329].end 3034.13909375
transcript.pyannote[330].speaker SPEAKER_18
transcript.pyannote[330].start 3034.49346875
transcript.pyannote[330].end 3035.05034375
transcript.pyannote[331].speaker SPEAKER_18
transcript.pyannote[331].start 3035.50596875
transcript.pyannote[331].end 3036.90659375
transcript.pyannote[332].speaker SPEAKER_27
transcript.pyannote[332].start 3037.21034375
transcript.pyannote[332].end 3042.27284375
transcript.pyannote[333].speaker SPEAKER_18
transcript.pyannote[333].start 3041.14221875
transcript.pyannote[333].end 3047.41971875
transcript.pyannote[334].speaker SPEAKER_27
transcript.pyannote[334].start 3043.48784375
transcript.pyannote[334].end 3043.90971875
transcript.pyannote[335].speaker SPEAKER_27
transcript.pyannote[335].start 3048.44909375
transcript.pyannote[335].end 3067.50096875
transcript.pyannote[336].speaker SPEAKER_14
transcript.pyannote[336].start 3050.92971875
transcript.pyannote[336].end 3051.03096875
transcript.pyannote[337].speaker SPEAKER_30
transcript.pyannote[337].start 3051.03096875
transcript.pyannote[337].end 3051.73971875
transcript.pyannote[338].speaker SPEAKER_27
transcript.pyannote[338].start 3067.80471875
transcript.pyannote[338].end 3076.19159375
transcript.pyannote[339].speaker SPEAKER_09
transcript.pyannote[339].start 3071.46659375
transcript.pyannote[339].end 3071.53409375
transcript.pyannote[340].speaker SPEAKER_18
transcript.pyannote[340].start 3071.53409375
transcript.pyannote[340].end 3073.27221875
transcript.pyannote[341].speaker SPEAKER_18
transcript.pyannote[341].start 3076.47846875
transcript.pyannote[341].end 3076.84971875
transcript.pyannote[342].speaker SPEAKER_18
transcript.pyannote[342].start 3077.74409375
transcript.pyannote[342].end 3078.16596875
transcript.pyannote[343].speaker SPEAKER_18
transcript.pyannote[343].start 3078.77346875
transcript.pyannote[343].end 3085.92846875
transcript.pyannote[344].speaker SPEAKER_18
transcript.pyannote[344].start 3086.80596875
transcript.pyannote[344].end 3089.03346875
transcript.pyannote[345].speaker SPEAKER_18
transcript.pyannote[345].start 3089.13471875
transcript.pyannote[345].end 3094.07909375
transcript.pyannote[346].speaker SPEAKER_27
transcript.pyannote[346].start 3090.97409375
transcript.pyannote[346].end 3091.36221875
transcript.pyannote[347].speaker SPEAKER_00
transcript.pyannote[347].start 3091.36221875
transcript.pyannote[347].end 3091.39596875
transcript.pyannote[348].speaker SPEAKER_27
transcript.pyannote[348].start 3092.50971875
transcript.pyannote[348].end 3097.16721875
transcript.pyannote[349].speaker SPEAKER_18
transcript.pyannote[349].start 3095.95221875
transcript.pyannote[349].end 3097.97721875
transcript.pyannote[350].speaker SPEAKER_14
transcript.pyannote[350].start 3097.16721875
transcript.pyannote[350].end 3097.23471875
transcript.pyannote[351].speaker SPEAKER_14
transcript.pyannote[351].start 3097.40346875
transcript.pyannote[351].end 3097.43721875
transcript.pyannote[352].speaker SPEAKER_27
transcript.pyannote[352].start 3097.43721875
transcript.pyannote[352].end 3113.67096875
transcript.pyannote[353].speaker SPEAKER_14
transcript.pyannote[353].start 3097.97721875
transcript.pyannote[353].end 3098.31471875
transcript.pyannote[354].speaker SPEAKER_18
transcript.pyannote[354].start 3106.97159375
transcript.pyannote[354].end 3106.98846875
transcript.pyannote[355].speaker SPEAKER_14
transcript.pyannote[355].start 3106.98846875
transcript.pyannote[355].end 3107.03909375
transcript.pyannote[356].speaker SPEAKER_18
transcript.pyannote[356].start 3107.03909375
transcript.pyannote[356].end 3107.49471875
transcript.pyannote[357].speaker SPEAKER_14
transcript.pyannote[357].start 3107.49471875
transcript.pyannote[357].end 3107.91659375
transcript.pyannote[358].speaker SPEAKER_18
transcript.pyannote[358].start 3107.91659375
transcript.pyannote[358].end 3107.93346875
transcript.pyannote[359].speaker SPEAKER_14
transcript.pyannote[359].start 3107.93346875
transcript.pyannote[359].end 3107.96721875
transcript.pyannote[360].speaker SPEAKER_18
transcript.pyannote[360].start 3107.96721875
transcript.pyannote[360].end 3108.00096875
transcript.pyannote[361].speaker SPEAKER_14
transcript.pyannote[361].start 3108.00096875
transcript.pyannote[361].end 3108.69284375
transcript.pyannote[362].speaker SPEAKER_18
transcript.pyannote[362].start 3110.80221875
transcript.pyannote[362].end 3111.32534375
transcript.pyannote[363].speaker SPEAKER_18
transcript.pyannote[363].start 3112.30409375
transcript.pyannote[363].end 3112.57409375
transcript.pyannote[364].speaker SPEAKER_18
transcript.pyannote[364].start 3113.75534375
transcript.pyannote[364].end 3115.71284375
transcript.pyannote[365].speaker SPEAKER_18
transcript.pyannote[365].start 3116.10096875
transcript.pyannote[365].end 3116.97846875
transcript.pyannote[366].speaker SPEAKER_27
transcript.pyannote[366].start 3116.97846875
transcript.pyannote[366].end 3135.32159375
transcript.pyannote[367].speaker SPEAKER_18
transcript.pyannote[367].start 3118.51409375
transcript.pyannote[367].end 3119.15534375
transcript.pyannote[368].speaker SPEAKER_18
transcript.pyannote[368].start 3135.32159375
transcript.pyannote[368].end 3135.96284375
transcript.pyannote[369].speaker SPEAKER_27
transcript.pyannote[369].start 3135.96284375
transcript.pyannote[369].end 3136.03034375
transcript.pyannote[370].speaker SPEAKER_18
transcript.pyannote[370].start 3136.03034375
transcript.pyannote[370].end 3139.20284375
transcript.pyannote[371].speaker SPEAKER_18
transcript.pyannote[371].start 3140.29971875
transcript.pyannote[371].end 3142.34159375
transcript.pyannote[372].speaker SPEAKER_18
transcript.pyannote[372].start 3142.66221875
transcript.pyannote[372].end 3143.67471875
transcript.pyannote[373].speaker SPEAKER_18
transcript.pyannote[373].start 3144.19784375
transcript.pyannote[373].end 3148.01159375
transcript.pyannote[374].speaker SPEAKER_18
transcript.pyannote[374].start 3148.28159375
transcript.pyannote[374].end 3151.25159375
transcript.pyannote[375].speaker SPEAKER_18
transcript.pyannote[375].start 3151.60596875
transcript.pyannote[375].end 3152.78721875
transcript.pyannote[376].speaker SPEAKER_18
transcript.pyannote[376].start 3153.15846875
transcript.pyannote[376].end 3156.51659375
transcript.pyannote[377].speaker SPEAKER_18
transcript.pyannote[377].start 3156.68534375
transcript.pyannote[377].end 3167.58659375
transcript.pyannote[378].speaker SPEAKER_27
transcript.pyannote[378].start 3164.85284375
transcript.pyannote[378].end 3164.98784375
transcript.pyannote[379].speaker SPEAKER_27
transcript.pyannote[379].start 3165.30846875
transcript.pyannote[379].end 3166.62471875
transcript.pyannote[380].speaker SPEAKER_18
transcript.pyannote[380].start 3167.73846875
transcript.pyannote[380].end 3171.14721875
transcript.pyannote[381].speaker SPEAKER_18
transcript.pyannote[381].start 3176.53034375
transcript.pyannote[381].end 3176.85096875
transcript.pyannote[382].speaker SPEAKER_18
transcript.pyannote[382].start 3178.45409375
transcript.pyannote[382].end 3179.44971875
transcript.pyannote[383].speaker SPEAKER_18
transcript.pyannote[383].start 3179.75346875
transcript.pyannote[383].end 3181.89659375
transcript.pyannote[384].speaker SPEAKER_18
transcript.pyannote[384].start 3182.14971875
transcript.pyannote[384].end 3185.03534375
transcript.pyannote[385].speaker SPEAKER_18
transcript.pyannote[385].start 3185.23784375
transcript.pyannote[385].end 3195.14346875
transcript.pyannote[386].speaker SPEAKER_18
transcript.pyannote[386].start 3195.68346875
transcript.pyannote[386].end 3199.48034375
transcript.pyannote[387].speaker SPEAKER_18
transcript.pyannote[387].start 3199.66596875
transcript.pyannote[387].end 3220.27034375
transcript.pyannote[388].speaker SPEAKER_18
transcript.pyannote[388].start 3220.33784375
transcript.pyannote[388].end 3220.96221875
transcript.pyannote[389].speaker SPEAKER_18
transcript.pyannote[389].start 3221.55284375
transcript.pyannote[389].end 3229.39971875
transcript.pyannote[390].speaker SPEAKER_18
transcript.pyannote[390].start 3229.63596875
transcript.pyannote[390].end 3231.01971875
transcript.pyannote[391].speaker SPEAKER_18
transcript.pyannote[391].start 3231.42471875
transcript.pyannote[391].end 3237.65159375
transcript.pyannote[392].speaker SPEAKER_18
transcript.pyannote[392].start 3237.98909375
transcript.pyannote[392].end 3242.19096875
transcript.pyannote[393].speaker SPEAKER_29
transcript.pyannote[393].start 3243.22034375
transcript.pyannote[393].end 3244.57034375
transcript.pyannote[394].speaker SPEAKER_29
transcript.pyannote[394].start 3244.73909375
transcript.pyannote[394].end 3292.56284375
transcript.pyannote[395].speaker SPEAKER_18
transcript.pyannote[395].start 3291.95534375
transcript.pyannote[395].end 3293.15346875
transcript.pyannote[396].speaker SPEAKER_29
transcript.pyannote[396].start 3293.15346875
transcript.pyannote[396].end 3293.52471875
transcript.pyannote[397].speaker SPEAKER_18
transcript.pyannote[397].start 3293.72721875
transcript.pyannote[397].end 3298.41846875
transcript.pyannote[398].speaker SPEAKER_29
transcript.pyannote[398].start 3296.79846875
transcript.pyannote[398].end 3298.90784375
transcript.pyannote[399].speaker SPEAKER_18
transcript.pyannote[399].start 3298.77284375
transcript.pyannote[399].end 3304.08846875
transcript.pyannote[400].speaker SPEAKER_29
transcript.pyannote[400].start 3300.79784375
transcript.pyannote[400].end 3301.08471875
transcript.pyannote[401].speaker SPEAKER_29
transcript.pyannote[401].start 3303.10971875
transcript.pyannote[401].end 3304.30784375
transcript.pyannote[402].speaker SPEAKER_18
transcript.pyannote[402].start 3304.30784375
transcript.pyannote[402].end 3306.70409375
transcript.pyannote[403].speaker SPEAKER_18
transcript.pyannote[403].start 3306.94034375
transcript.pyannote[403].end 3325.65471875
transcript.pyannote[404].speaker SPEAKER_30
transcript.pyannote[404].start 3315.49596875
transcript.pyannote[404].end 3317.74034375
transcript.pyannote[405].speaker SPEAKER_31
transcript.pyannote[405].start 3317.74034375
transcript.pyannote[405].end 3317.75721875
transcript.pyannote[406].speaker SPEAKER_29
transcript.pyannote[406].start 3322.81971875
transcript.pyannote[406].end 3322.85346875
transcript.pyannote[407].speaker SPEAKER_29
transcript.pyannote[407].start 3324.97971875
transcript.pyannote[407].end 3332.06721875
transcript.pyannote[408].speaker SPEAKER_18
transcript.pyannote[408].start 3329.31659375
transcript.pyannote[408].end 3330.02534375
transcript.pyannote[409].speaker SPEAKER_08
transcript.pyannote[409].start 3330.02534375
transcript.pyannote[409].end 3330.09284375
transcript.pyannote[410].speaker SPEAKER_33
transcript.pyannote[410].start 3330.09284375
transcript.pyannote[410].end 3330.54846875
transcript.pyannote[411].speaker SPEAKER_08
transcript.pyannote[411].start 3330.54846875
transcript.pyannote[411].end 3342.68159375
transcript.pyannote[412].speaker SPEAKER_08
transcript.pyannote[412].start 3342.90096875
transcript.pyannote[412].end 3344.33534375
transcript.pyannote[413].speaker SPEAKER_08
transcript.pyannote[413].start 3344.60534375
transcript.pyannote[413].end 3346.17471875
transcript.pyannote[414].speaker SPEAKER_08
transcript.pyannote[414].start 3346.46159375
transcript.pyannote[414].end 3348.31784375
transcript.pyannote[415].speaker SPEAKER_08
transcript.pyannote[415].start 3348.50346875
transcript.pyannote[415].end 3348.75659375
transcript.pyannote[416].speaker SPEAKER_08
transcript.pyannote[416].start 3349.02659375
transcript.pyannote[416].end 3350.14034375
transcript.pyannote[417].speaker SPEAKER_08
transcript.pyannote[417].start 3350.41034375
transcript.pyannote[417].end 3352.70534375
transcript.pyannote[418].speaker SPEAKER_08
transcript.pyannote[418].start 3352.95846875
transcript.pyannote[418].end 3354.86534375
transcript.pyannote[419].speaker SPEAKER_08
transcript.pyannote[419].start 3355.01721875
transcript.pyannote[419].end 3357.17721875
transcript.pyannote[420].speaker SPEAKER_08
transcript.pyannote[420].start 3357.27846875
transcript.pyannote[420].end 3371.40284375
transcript.pyannote[421].speaker SPEAKER_08
transcript.pyannote[421].start 3371.62221875
transcript.pyannote[421].end 3372.85409375
transcript.pyannote[422].speaker SPEAKER_18
transcript.pyannote[422].start 3373.07346875
transcript.pyannote[422].end 3375.21659375
transcript.pyannote[423].speaker SPEAKER_18
transcript.pyannote[423].start 3375.73971875
transcript.pyannote[423].end 3376.31346875
transcript.pyannote[424].speaker SPEAKER_18
transcript.pyannote[424].start 3376.68471875
transcript.pyannote[424].end 3387.65346875
transcript.pyannote[425].speaker SPEAKER_18
transcript.pyannote[425].start 3387.95721875
transcript.pyannote[425].end 3390.80909375
transcript.pyannote[426].speaker SPEAKER_18
transcript.pyannote[426].start 3390.91034375
transcript.pyannote[426].end 3392.17596875
transcript.pyannote[427].speaker SPEAKER_18
transcript.pyannote[427].start 3392.81721875
transcript.pyannote[427].end 3394.57221875
transcript.pyannote[428].speaker SPEAKER_18
transcript.pyannote[428].start 3395.14596875
transcript.pyannote[428].end 3398.84159375
transcript.pyannote[429].speaker SPEAKER_18
transcript.pyannote[429].start 3399.65159375
transcript.pyannote[429].end 3411.16034375
transcript.pyannote[430].speaker SPEAKER_18
transcript.pyannote[430].start 3411.19409375
transcript.pyannote[430].end 3411.91971875
transcript.pyannote[431].speaker SPEAKER_18
transcript.pyannote[431].start 3412.71284375
transcript.pyannote[431].end 3447.07034375
transcript.pyannote[432].speaker SPEAKER_18
transcript.pyannote[432].start 3447.42471875
transcript.pyannote[432].end 3477.20909375
transcript.pyannote[433].speaker SPEAKER_29
transcript.pyannote[433].start 3477.74909375
transcript.pyannote[433].end 3509.69346875
transcript.pyannote[434].speaker SPEAKER_00
transcript.pyannote[434].start 3496.02471875
transcript.pyannote[434].end 3496.24409375
transcript.pyannote[435].speaker SPEAKER_29
transcript.pyannote[435].start 3510.14909375
transcript.pyannote[435].end 3517.86096875
transcript.pyannote[436].speaker SPEAKER_18
transcript.pyannote[436].start 3514.97534375
transcript.pyannote[436].end 3530.11221875
transcript.pyannote[437].speaker SPEAKER_18
transcript.pyannote[437].start 3533.72346875
transcript.pyannote[437].end 3534.19596875
transcript.pyannote[438].speaker SPEAKER_08
transcript.pyannote[438].start 3534.55034375
transcript.pyannote[438].end 3534.88784375
transcript.pyannote[439].speaker SPEAKER_18
transcript.pyannote[439].start 3535.83284375
transcript.pyannote[439].end 3538.39784375
transcript.pyannote[440].speaker SPEAKER_18
transcript.pyannote[440].start 3538.54971875
transcript.pyannote[440].end 3545.04659375
transcript.pyannote[441].speaker SPEAKER_18
transcript.pyannote[441].start 3545.46846875
transcript.pyannote[441].end 3549.70409375
transcript.pyannote[442].speaker SPEAKER_18
transcript.pyannote[442].start 3550.76721875
transcript.pyannote[442].end 3553.56846875
transcript.pyannote[443].speaker SPEAKER_18
transcript.pyannote[443].start 3554.49659375
transcript.pyannote[443].end 3557.34846875
transcript.pyannote[444].speaker SPEAKER_18
transcript.pyannote[444].start 3557.51721875
transcript.pyannote[444].end 3560.03159375
transcript.pyannote[445].speaker SPEAKER_18
transcript.pyannote[445].start 3560.43659375
transcript.pyannote[445].end 3565.22909375
transcript.pyannote[446].speaker SPEAKER_18
transcript.pyannote[446].start 3565.56659375
transcript.pyannote[446].end 3580.12971875
transcript.pyannote[447].speaker SPEAKER_18
transcript.pyannote[447].start 3580.29846875
transcript.pyannote[447].end 3596.22846875
transcript.pyannote[448].speaker SPEAKER_18
transcript.pyannote[448].start 3597.08909375
transcript.pyannote[448].end 3606.64034375
transcript.pyannote[449].speaker SPEAKER_18
transcript.pyannote[449].start 3607.09596875
transcript.pyannote[449].end 3618.13221875
transcript.pyannote[450].speaker SPEAKER_18
transcript.pyannote[450].start 3618.53721875
transcript.pyannote[450].end 3619.12784375
transcript.pyannote[451].speaker SPEAKER_18
transcript.pyannote[451].start 3619.24596875
transcript.pyannote[451].end 3622.11471875
transcript.pyannote[452].speaker SPEAKER_18
transcript.pyannote[452].start 3622.16534375
transcript.pyannote[452].end 3629.86034375
transcript.pyannote[453].speaker SPEAKER_18
transcript.pyannote[453].start 3630.43409375
transcript.pyannote[453].end 3632.23971875
transcript.pyannote[454].speaker SPEAKER_39
transcript.pyannote[454].start 3664.96034375
transcript.pyannote[454].end 3668.11596875
transcript.pyannote[455].speaker SPEAKER_14
transcript.pyannote[455].start 3668.82471875
transcript.pyannote[455].end 3669.02721875
transcript.pyannote[456].speaker SPEAKER_14
transcript.pyannote[456].start 3671.65971875
transcript.pyannote[456].end 3672.03096875
transcript.pyannote[457].speaker SPEAKER_18
transcript.pyannote[457].start 3672.87471875
transcript.pyannote[457].end 3672.89159375
transcript.pyannote[458].speaker SPEAKER_39
transcript.pyannote[458].start 3672.89159375
transcript.pyannote[458].end 3673.29659375
transcript.pyannote[459].speaker SPEAKER_18
transcript.pyannote[459].start 3674.34284375
transcript.pyannote[459].end 3674.42721875
transcript.pyannote[460].speaker SPEAKER_39
transcript.pyannote[460].start 3674.42721875
transcript.pyannote[460].end 3674.62971875
transcript.pyannote[461].speaker SPEAKER_18
transcript.pyannote[461].start 3674.62971875
transcript.pyannote[461].end 3674.76471875
transcript.pyannote[462].speaker SPEAKER_39
transcript.pyannote[462].start 3683.87721875
transcript.pyannote[462].end 3685.09221875
transcript.pyannote[463].speaker SPEAKER_39
transcript.pyannote[463].start 3686.72909375
transcript.pyannote[463].end 3692.07846875
transcript.pyannote[464].speaker SPEAKER_10
transcript.pyannote[464].start 3712.12596875
transcript.pyannote[464].end 3714.72471875
transcript.pyannote[465].speaker SPEAKER_39
transcript.pyannote[465].start 3714.99471875
transcript.pyannote[465].end 3716.68221875
transcript.pyannote[466].speaker SPEAKER_08
transcript.pyannote[466].start 3727.14471875
transcript.pyannote[466].end 3727.73534375
transcript.pyannote[467].speaker SPEAKER_10
transcript.pyannote[467].start 3727.98846875
transcript.pyannote[467].end 3728.91659375
transcript.pyannote[468].speaker SPEAKER_10
transcript.pyannote[468].start 3728.93346875
transcript.pyannote[468].end 3761.29971875
transcript.pyannote[469].speaker SPEAKER_10
transcript.pyannote[469].start 3762.41346875
transcript.pyannote[469].end 3768.33659375
transcript.pyannote[470].speaker SPEAKER_10
transcript.pyannote[470].start 3768.99471875
transcript.pyannote[470].end 3770.69909375
transcript.pyannote[471].speaker SPEAKER_10
transcript.pyannote[471].start 3771.27284375
transcript.pyannote[471].end 3771.94784375
transcript.pyannote[472].speaker SPEAKER_10
transcript.pyannote[472].start 3772.38659375
transcript.pyannote[472].end 3778.81596875
transcript.pyannote[473].speaker SPEAKER_10
transcript.pyannote[473].start 3779.08596875
transcript.pyannote[473].end 3782.96721875
transcript.pyannote[474].speaker SPEAKER_10
transcript.pyannote[474].start 3783.38909375
transcript.pyannote[474].end 3784.36784375
transcript.pyannote[475].speaker SPEAKER_10
transcript.pyannote[475].start 3784.97534375
transcript.pyannote[475].end 3787.55721875
transcript.pyannote[476].speaker SPEAKER_10
transcript.pyannote[476].start 3787.99596875
transcript.pyannote[476].end 3792.90659375
transcript.pyannote[477].speaker SPEAKER_10
transcript.pyannote[477].start 3793.15971875
transcript.pyannote[477].end 3803.55471875
transcript.pyannote[478].speaker SPEAKER_10
transcript.pyannote[478].start 3804.26346875
transcript.pyannote[478].end 3814.91159375
transcript.pyannote[479].speaker SPEAKER_10
transcript.pyannote[479].start 3815.50221875
transcript.pyannote[479].end 3820.69971875
transcript.pyannote[480].speaker SPEAKER_10
transcript.pyannote[480].start 3821.37471875
transcript.pyannote[480].end 3822.67409375
transcript.pyannote[481].speaker SPEAKER_10
transcript.pyannote[481].start 3822.80909375
transcript.pyannote[481].end 3827.65221875
transcript.pyannote[482].speaker SPEAKER_10
transcript.pyannote[482].start 3828.58034375
transcript.pyannote[482].end 3829.45784375
transcript.pyannote[483].speaker SPEAKER_10
transcript.pyannote[483].start 3829.86284375
transcript.pyannote[483].end 3831.24659375
transcript.pyannote[484].speaker SPEAKER_10
transcript.pyannote[484].start 3831.39846875
transcript.pyannote[484].end 3834.26721875
transcript.pyannote[485].speaker SPEAKER_10
transcript.pyannote[485].start 3834.58784375
transcript.pyannote[485].end 3835.07721875
transcript.pyannote[486].speaker SPEAKER_10
transcript.pyannote[486].start 3835.39784375
transcript.pyannote[486].end 3837.82784375
transcript.pyannote[487].speaker SPEAKER_34
transcript.pyannote[487].start 3843.22784375
transcript.pyannote[487].end 3844.84784375
transcript.pyannote[488].speaker SPEAKER_34
transcript.pyannote[488].start 3844.96596875
transcript.pyannote[488].end 3845.03346875
transcript.pyannote[489].speaker SPEAKER_34
transcript.pyannote[489].start 3846.78846875
transcript.pyannote[489].end 3857.23409375
transcript.pyannote[490].speaker SPEAKER_34
transcript.pyannote[490].start 3859.05659375
transcript.pyannote[490].end 3859.83284375
transcript.pyannote[491].speaker SPEAKER_36
transcript.pyannote[491].start 3861.67221875
transcript.pyannote[491].end 3865.36784375
transcript.pyannote[492].speaker SPEAKER_12
transcript.pyannote[492].start 3865.36784375
transcript.pyannote[492].end 3871.39221875
transcript.pyannote[493].speaker SPEAKER_12
transcript.pyannote[493].start 3871.52721875
transcript.pyannote[493].end 3872.65784375
transcript.pyannote[494].speaker SPEAKER_12
transcript.pyannote[494].start 3873.06284375
transcript.pyannote[494].end 3874.32846875
transcript.pyannote[495].speaker SPEAKER_14
transcript.pyannote[495].start 3875.05409375
transcript.pyannote[495].end 3879.98159375
transcript.pyannote[496].speaker SPEAKER_13
transcript.pyannote[496].start 3878.42909375
transcript.pyannote[496].end 3878.44596875
transcript.pyannote[497].speaker SPEAKER_05
transcript.pyannote[497].start 3879.98159375
transcript.pyannote[497].end 3880.03221875
transcript.pyannote[498].speaker SPEAKER_14
transcript.pyannote[498].start 3880.03221875
transcript.pyannote[498].end 3880.04909375
transcript.pyannote[499].speaker SPEAKER_14
transcript.pyannote[499].start 3880.08284375
transcript.pyannote[499].end 3880.09971875
transcript.pyannote[500].speaker SPEAKER_13
transcript.pyannote[500].start 3880.09971875
transcript.pyannote[500].end 3886.93409375
transcript.pyannote[501].speaker SPEAKER_14
transcript.pyannote[501].start 3880.21784375
transcript.pyannote[501].end 3880.60596875
transcript.pyannote[502].speaker SPEAKER_10
transcript.pyannote[502].start 3893.41409375
transcript.pyannote[502].end 3898.74659375
transcript.pyannote[503].speaker SPEAKER_10
transcript.pyannote[503].start 3899.40471875
transcript.pyannote[503].end 3906.79596875
transcript.pyannote[504].speaker SPEAKER_10
transcript.pyannote[504].start 3907.11659375
transcript.pyannote[504].end 3912.02721875
transcript.pyannote[505].speaker SPEAKER_10
transcript.pyannote[505].start 3912.63471875
transcript.pyannote[505].end 3921.27471875
transcript.pyannote[506].speaker SPEAKER_10
transcript.pyannote[506].start 3921.76409375
transcript.pyannote[506].end 3923.89034375
transcript.pyannote[507].speaker SPEAKER_10
transcript.pyannote[507].start 3924.17721875
transcript.pyannote[507].end 3927.36659375
transcript.pyannote[508].speaker SPEAKER_10
transcript.pyannote[508].start 3927.80534375
transcript.pyannote[508].end 3934.75784375
transcript.pyannote[509].speaker SPEAKER_10
transcript.pyannote[509].start 3935.24721875
transcript.pyannote[509].end 3938.31846875
transcript.pyannote[510].speaker SPEAKER_10
transcript.pyannote[510].start 3938.82471875
transcript.pyannote[510].end 3953.25284375
transcript.pyannote[511].speaker SPEAKER_10
transcript.pyannote[511].start 3953.38784375
transcript.pyannote[511].end 3956.76284375
transcript.pyannote[512].speaker SPEAKER_10
transcript.pyannote[512].start 3957.23534375
transcript.pyannote[512].end 3965.94284375
transcript.pyannote[513].speaker SPEAKER_10
transcript.pyannote[513].start 3966.53346875
transcript.pyannote[513].end 3969.31784375
transcript.pyannote[514].speaker SPEAKER_10
transcript.pyannote[514].start 3969.82409375
transcript.pyannote[514].end 3986.61471875
transcript.pyannote[515].speaker SPEAKER_08
transcript.pyannote[515].start 3987.62721875
transcript.pyannote[515].end 3988.43721875
transcript.pyannote[516].speaker SPEAKER_08
transcript.pyannote[516].start 3989.24721875
transcript.pyannote[516].end 3992.41971875
transcript.pyannote[517].speaker SPEAKER_08
transcript.pyannote[517].start 3993.16221875
transcript.pyannote[517].end 3996.45284375
transcript.pyannote[518].speaker SPEAKER_08
transcript.pyannote[518].start 3997.41471875
transcript.pyannote[518].end 3998.42721875
transcript.pyannote[519].speaker SPEAKER_08
transcript.pyannote[519].start 3998.96721875
transcript.pyannote[519].end 4000.89096875
transcript.pyannote[520].speaker SPEAKER_08
transcript.pyannote[520].start 4001.46471875
transcript.pyannote[520].end 4002.67971875
transcript.pyannote[521].speaker SPEAKER_08
transcript.pyannote[521].start 4003.18596875
transcript.pyannote[521].end 4005.81846875
transcript.pyannote[522].speaker SPEAKER_08
transcript.pyannote[522].start 4006.62846875
transcript.pyannote[522].end 4009.31159375
transcript.pyannote[523].speaker SPEAKER_08
transcript.pyannote[523].start 4009.80096875
transcript.pyannote[523].end 4011.01596875
transcript.pyannote[524].speaker SPEAKER_08
transcript.pyannote[524].start 4011.97784375
transcript.pyannote[524].end 4013.14221875
transcript.pyannote[525].speaker SPEAKER_08
transcript.pyannote[525].start 4013.44596875
transcript.pyannote[525].end 4015.69034375
transcript.pyannote[526].speaker SPEAKER_08
transcript.pyannote[526].start 4016.65221875
transcript.pyannote[526].end 4020.06096875
transcript.pyannote[527].speaker SPEAKER_08
transcript.pyannote[527].start 4021.25909375
transcript.pyannote[527].end 4023.99284375
transcript.pyannote[528].speaker SPEAKER_08
transcript.pyannote[528].start 4024.19534375
transcript.pyannote[528].end 4025.07284375
transcript.pyannote[529].speaker SPEAKER_08
transcript.pyannote[529].start 4025.66346875
transcript.pyannote[529].end 4029.08909375
transcript.pyannote[530].speaker SPEAKER_08
transcript.pyannote[530].start 4030.10159375
transcript.pyannote[530].end 4031.45159375
transcript.pyannote[531].speaker SPEAKER_08
transcript.pyannote[531].start 4032.66659375
transcript.pyannote[531].end 4034.60721875
transcript.pyannote[532].speaker SPEAKER_08
transcript.pyannote[532].start 4034.80971875
transcript.pyannote[532].end 4036.39596875
transcript.pyannote[533].speaker SPEAKER_08
transcript.pyannote[533].start 4036.83471875
transcript.pyannote[533].end 4038.33659375
transcript.pyannote[534].speaker SPEAKER_08
transcript.pyannote[534].start 4038.89346875
transcript.pyannote[534].end 4039.50096875
transcript.pyannote[535].speaker SPEAKER_08
transcript.pyannote[535].start 4039.75409375
transcript.pyannote[535].end 4040.42909375
transcript.pyannote[536].speaker SPEAKER_08
transcript.pyannote[536].start 4040.73284375
transcript.pyannote[536].end 4043.73659375
transcript.pyannote[537].speaker SPEAKER_08
transcript.pyannote[537].start 4044.27659375
transcript.pyannote[537].end 4045.64346875
transcript.pyannote[538].speaker SPEAKER_08
transcript.pyannote[538].start 4046.31846875
transcript.pyannote[538].end 4047.87096875
transcript.pyannote[539].speaker SPEAKER_08
transcript.pyannote[539].start 4048.54596875
transcript.pyannote[539].end 4049.72721875
transcript.pyannote[540].speaker SPEAKER_08
transcript.pyannote[540].start 4049.92971875
transcript.pyannote[540].end 4050.82409375
transcript.pyannote[541].speaker SPEAKER_08
transcript.pyannote[541].start 4050.99284375
transcript.pyannote[541].end 4052.17409375
transcript.pyannote[542].speaker SPEAKER_08
transcript.pyannote[542].start 4052.64659375
transcript.pyannote[542].end 4053.99659375
transcript.pyannote[543].speaker SPEAKER_08
transcript.pyannote[543].start 4054.92471875
transcript.pyannote[543].end 4057.00034375
transcript.pyannote[544].speaker SPEAKER_08
transcript.pyannote[544].start 4057.20284375
transcript.pyannote[544].end 4060.15596875
transcript.pyannote[545].speaker SPEAKER_08
transcript.pyannote[545].start 4060.57784375
transcript.pyannote[545].end 4061.43846875
transcript.pyannote[546].speaker SPEAKER_08
transcript.pyannote[546].start 4061.77596875
transcript.pyannote[546].end 4063.81784375
transcript.pyannote[547].speaker SPEAKER_08
transcript.pyannote[547].start 4064.32409375
transcript.pyannote[547].end 4065.37034375
transcript.pyannote[548].speaker SPEAKER_08
transcript.pyannote[548].start 4066.50096875
transcript.pyannote[548].end 4067.81721875
transcript.pyannote[549].speaker SPEAKER_08
transcript.pyannote[549].start 4068.40784375
transcript.pyannote[549].end 4071.12471875
transcript.pyannote[550].speaker SPEAKER_08
transcript.pyannote[550].start 4071.76596875
transcript.pyannote[550].end 4072.81221875
transcript.pyannote[551].speaker SPEAKER_08
transcript.pyannote[551].start 4073.13284375
transcript.pyannote[551].end 4075.19159375
transcript.pyannote[552].speaker SPEAKER_08
transcript.pyannote[552].start 4077.14909375
transcript.pyannote[552].end 4081.03034375
transcript.pyannote[553].speaker SPEAKER_08
transcript.pyannote[553].start 4081.36784375
transcript.pyannote[553].end 4082.53221875
transcript.pyannote[554].speaker SPEAKER_08
transcript.pyannote[554].start 4084.11846875
transcript.pyannote[554].end 4085.09721875
transcript.pyannote[555].speaker SPEAKER_08
transcript.pyannote[555].start 4085.67096875
transcript.pyannote[555].end 4086.41346875
transcript.pyannote[556].speaker SPEAKER_08
transcript.pyannote[556].start 4087.34159375
transcript.pyannote[556].end 4088.01659375
transcript.pyannote[557].speaker SPEAKER_08
transcript.pyannote[557].start 4088.79284375
transcript.pyannote[557].end 4090.17659375
transcript.pyannote[558].speaker SPEAKER_08
transcript.pyannote[558].start 4090.44659375
transcript.pyannote[558].end 4091.88096875
transcript.pyannote[559].speaker SPEAKER_08
transcript.pyannote[559].start 4092.11721875
transcript.pyannote[559].end 4094.98596875
transcript.pyannote[560].speaker SPEAKER_08
transcript.pyannote[560].start 4095.32346875
transcript.pyannote[560].end 4096.89284375
transcript.pyannote[561].speaker SPEAKER_08
transcript.pyannote[561].start 4098.73221875
transcript.pyannote[561].end 4099.47471875
transcript.pyannote[562].speaker SPEAKER_08
transcript.pyannote[562].start 4099.86284375
transcript.pyannote[562].end 4101.01034375
transcript.pyannote[563].speaker SPEAKER_08
transcript.pyannote[563].start 4101.61784375
transcript.pyannote[563].end 4103.45721875
transcript.pyannote[564].speaker SPEAKER_08
transcript.pyannote[564].start 4103.91284375
transcript.pyannote[564].end 4104.65534375
transcript.pyannote[565].speaker SPEAKER_08
transcript.pyannote[565].start 4105.04346875
transcript.pyannote[565].end 4106.44409375
transcript.pyannote[566].speaker SPEAKER_08
transcript.pyannote[566].start 4106.93346875
transcript.pyannote[566].end 4107.89534375
transcript.pyannote[567].speaker SPEAKER_08
transcript.pyannote[567].start 4108.19909375
transcript.pyannote[567].end 4108.84034375
transcript.pyannote[568].speaker SPEAKER_08
transcript.pyannote[568].start 4109.36346875
transcript.pyannote[568].end 4110.00471875
transcript.pyannote[569].speaker SPEAKER_08
transcript.pyannote[569].start 4110.47721875
transcript.pyannote[569].end 4111.30409375
transcript.pyannote[570].speaker SPEAKER_08
transcript.pyannote[570].start 4111.86096875
transcript.pyannote[570].end 4112.82284375
transcript.pyannote[571].speaker SPEAKER_08
transcript.pyannote[571].start 4113.32909375
transcript.pyannote[571].end 4114.35846875
transcript.pyannote[572].speaker SPEAKER_08
transcript.pyannote[572].start 4117.04159375
transcript.pyannote[572].end 4117.68284375
transcript.pyannote[573].speaker SPEAKER_08
transcript.pyannote[573].start 4117.80096875
transcript.pyannote[573].end 4119.52221875
transcript.pyannote[574].speaker SPEAKER_08
transcript.pyannote[574].start 4119.89346875
transcript.pyannote[574].end 4121.71596875
transcript.pyannote[575].speaker SPEAKER_08
transcript.pyannote[575].start 4122.59346875
transcript.pyannote[575].end 4123.94346875
transcript.pyannote[576].speaker SPEAKER_08
transcript.pyannote[576].start 4124.43284375
transcript.pyannote[576].end 4125.15846875
transcript.pyannote[577].speaker SPEAKER_08
transcript.pyannote[577].start 4125.54659375
transcript.pyannote[577].end 4126.59284375
transcript.pyannote[578].speaker SPEAKER_08
transcript.pyannote[578].start 4126.99784375
transcript.pyannote[578].end 4127.94284375
transcript.pyannote[579].speaker SPEAKER_08
transcript.pyannote[579].start 4128.24659375
transcript.pyannote[579].end 4130.25471875
transcript.pyannote[580].speaker SPEAKER_08
transcript.pyannote[580].start 4130.54159375
transcript.pyannote[580].end 4131.33471875
transcript.pyannote[581].speaker SPEAKER_08
transcript.pyannote[581].start 4131.65534375
transcript.pyannote[581].end 4132.81971875
transcript.pyannote[582].speaker SPEAKER_08
transcript.pyannote[582].start 4133.24159375
transcript.pyannote[582].end 4134.16971875
transcript.pyannote[583].speaker SPEAKER_08
transcript.pyannote[583].start 4134.96284375
transcript.pyannote[583].end 4135.92471875
transcript.pyannote[584].speaker SPEAKER_08
transcript.pyannote[584].start 4137.13971875
transcript.pyannote[584].end 4138.23659375
transcript.pyannote[585].speaker SPEAKER_08
transcript.pyannote[585].start 4138.91159375
transcript.pyannote[585].end 4140.12659375
transcript.pyannote[586].speaker SPEAKER_08
transcript.pyannote[586].start 4141.00409375
transcript.pyannote[586].end 4143.02909375
transcript.pyannote[587].speaker SPEAKER_08
transcript.pyannote[587].start 4143.60284375
transcript.pyannote[587].end 4145.00346875
transcript.pyannote[588].speaker SPEAKER_08
transcript.pyannote[588].start 4145.49284375
transcript.pyannote[588].end 4145.94846875
transcript.pyannote[589].speaker SPEAKER_08
transcript.pyannote[589].start 4146.77534375
transcript.pyannote[589].end 4149.71159375
transcript.pyannote[590].speaker SPEAKER_08
transcript.pyannote[590].start 4150.06596875
transcript.pyannote[590].end 4151.97284375
transcript.pyannote[591].speaker SPEAKER_08
transcript.pyannote[591].start 4152.36096875
transcript.pyannote[591].end 4153.94721875
transcript.pyannote[592].speaker SPEAKER_08
transcript.pyannote[592].start 4155.26346875
transcript.pyannote[592].end 4156.20846875
transcript.pyannote[593].speaker SPEAKER_08
transcript.pyannote[593].start 4157.35596875
transcript.pyannote[593].end 4158.14909375
transcript.pyannote[594].speaker SPEAKER_08
transcript.pyannote[594].start 4160.44409375
transcript.pyannote[594].end 4161.18659375
transcript.pyannote[595].speaker SPEAKER_08
transcript.pyannote[595].start 4161.86159375
transcript.pyannote[595].end 4163.39721875
transcript.pyannote[596].speaker SPEAKER_08
transcript.pyannote[596].start 4163.73471875
transcript.pyannote[596].end 4165.45596875
transcript.pyannote[597].speaker SPEAKER_08
transcript.pyannote[597].start 4166.38409375
transcript.pyannote[597].end 4167.86909375
transcript.pyannote[598].speaker SPEAKER_08
transcript.pyannote[598].start 4168.39221875
transcript.pyannote[598].end 4169.42159375
transcript.pyannote[599].speaker SPEAKER_08
transcript.pyannote[599].start 4169.55659375
transcript.pyannote[599].end 4170.80534375
transcript.pyannote[600].speaker SPEAKER_08
transcript.pyannote[600].start 4171.46346875
transcript.pyannote[600].end 4172.00346875
transcript.pyannote[601].speaker SPEAKER_08
transcript.pyannote[601].start 4172.50971875
transcript.pyannote[601].end 4173.11721875
transcript.pyannote[602].speaker SPEAKER_08
transcript.pyannote[602].start 4173.47159375
transcript.pyannote[602].end 4174.06221875
transcript.pyannote[603].speaker SPEAKER_08
transcript.pyannote[603].start 4174.77096875
transcript.pyannote[603].end 4176.32346875
transcript.pyannote[604].speaker SPEAKER_08
transcript.pyannote[604].start 4176.89721875
transcript.pyannote[604].end 4178.02784375
transcript.pyannote[605].speaker SPEAKER_08
transcript.pyannote[605].start 4179.36096875
transcript.pyannote[605].end 4180.22159375
transcript.pyannote[606].speaker SPEAKER_08
transcript.pyannote[606].start 4180.64346875
transcript.pyannote[606].end 4181.75721875
transcript.pyannote[607].speaker SPEAKER_08
transcript.pyannote[607].start 4182.58409375
transcript.pyannote[607].end 4184.81159375
transcript.pyannote[608].speaker SPEAKER_08
transcript.pyannote[608].start 4186.36409375
transcript.pyannote[608].end 4188.89534375
transcript.pyannote[609].speaker SPEAKER_08
transcript.pyannote[609].start 4189.30034375
transcript.pyannote[609].end 4190.14409375
transcript.pyannote[610].speaker SPEAKER_08
transcript.pyannote[610].start 4190.53221875
transcript.pyannote[610].end 4191.02159375
transcript.pyannote[611].speaker SPEAKER_08
transcript.pyannote[611].start 4191.54471875
transcript.pyannote[611].end 4192.47284375
transcript.pyannote[612].speaker SPEAKER_08
transcript.pyannote[612].start 4192.72596875
transcript.pyannote[612].end 4194.54846875
transcript.pyannote[613].speaker SPEAKER_08
transcript.pyannote[613].start 4194.75096875
transcript.pyannote[613].end 4195.74659375
transcript.pyannote[614].speaker SPEAKER_08
transcript.pyannote[614].start 4195.93221875
transcript.pyannote[614].end 4197.34971875
transcript.pyannote[615].speaker SPEAKER_08
transcript.pyannote[615].start 4197.82221875
transcript.pyannote[615].end 4198.78409375
transcript.pyannote[616].speaker SPEAKER_08
transcript.pyannote[616].start 4199.27346875
transcript.pyannote[616].end 4201.51784375
transcript.pyannote[617].speaker SPEAKER_08
transcript.pyannote[617].start 4202.42909375
transcript.pyannote[617].end 4203.32346875
transcript.pyannote[618].speaker SPEAKER_08
transcript.pyannote[618].start 4204.40346875
transcript.pyannote[618].end 4204.43721875
transcript.pyannote[619].speaker SPEAKER_09
transcript.pyannote[619].start 4204.43721875
transcript.pyannote[619].end 4205.43284375
transcript.pyannote[620].speaker SPEAKER_08
transcript.pyannote[620].start 4206.04034375
transcript.pyannote[620].end 4206.05721875
transcript.pyannote[621].speaker SPEAKER_09
transcript.pyannote[621].start 4206.05721875
transcript.pyannote[621].end 4207.18784375
transcript.pyannote[622].speaker SPEAKER_08
transcript.pyannote[622].start 4207.18784375
transcript.pyannote[622].end 4207.20471875
transcript.pyannote[623].speaker SPEAKER_10
transcript.pyannote[623].start 4208.90909375
transcript.pyannote[623].end 4210.22534375
transcript.pyannote[624].speaker SPEAKER_10
transcript.pyannote[624].start 4210.81596875
transcript.pyannote[624].end 4214.20784375
transcript.pyannote[625].speaker SPEAKER_10
transcript.pyannote[625].start 4214.71409375
transcript.pyannote[625].end 4217.76846875
transcript.pyannote[626].speaker SPEAKER_10
transcript.pyannote[626].start 4217.97096875
transcript.pyannote[626].end 4252.78409375
transcript.pyannote[627].speaker SPEAKER_10
transcript.pyannote[627].start 4252.83471875
transcript.pyannote[627].end 4256.88471875
transcript.pyannote[628].speaker SPEAKER_08
transcript.pyannote[628].start 4256.96909375
transcript.pyannote[628].end 4257.96471875
transcript.pyannote[629].speaker SPEAKER_08
transcript.pyannote[629].start 4258.30221875
transcript.pyannote[629].end 4262.26784375
transcript.pyannote[630].speaker SPEAKER_08
transcript.pyannote[630].start 4263.02721875
transcript.pyannote[630].end 4264.88346875
transcript.pyannote[631].speaker SPEAKER_08
transcript.pyannote[631].start 4265.18721875
transcript.pyannote[631].end 4267.88721875
transcript.pyannote[632].speaker SPEAKER_08
transcript.pyannote[632].start 4269.47346875
transcript.pyannote[632].end 4270.63784375
transcript.pyannote[633].speaker SPEAKER_08
transcript.pyannote[633].start 4271.41409375
transcript.pyannote[633].end 4272.05534375
transcript.pyannote[634].speaker SPEAKER_08
transcript.pyannote[634].start 4272.67971875
transcript.pyannote[634].end 4273.32096875
transcript.pyannote[635].speaker SPEAKER_08
transcript.pyannote[635].start 4273.55721875
transcript.pyannote[635].end 4274.24909375
transcript.pyannote[636].speaker SPEAKER_08
transcript.pyannote[636].start 4274.40096875
transcript.pyannote[636].end 4275.26159375
transcript.pyannote[637].speaker SPEAKER_08
transcript.pyannote[637].start 4275.54846875
transcript.pyannote[637].end 4276.03784375
transcript.pyannote[638].speaker SPEAKER_08
transcript.pyannote[638].start 4277.96159375
transcript.pyannote[638].end 4279.71659375
transcript.pyannote[639].speaker SPEAKER_08
transcript.pyannote[639].start 4280.34096875
transcript.pyannote[639].end 4281.91034375
transcript.pyannote[640].speaker SPEAKER_08
transcript.pyannote[640].start 4282.68659375
transcript.pyannote[640].end 4283.37846875
transcript.pyannote[641].speaker SPEAKER_08
transcript.pyannote[641].start 4283.91846875
transcript.pyannote[641].end 4286.04471875
transcript.pyannote[642].speaker SPEAKER_08
transcript.pyannote[642].start 4287.00659375
transcript.pyannote[642].end 4288.91346875
transcript.pyannote[643].speaker SPEAKER_08
transcript.pyannote[643].start 4289.67284375
transcript.pyannote[643].end 4290.36471875
transcript.pyannote[644].speaker SPEAKER_08
transcript.pyannote[644].start 4290.58409375
transcript.pyannote[644].end 4292.82846875
transcript.pyannote[645].speaker SPEAKER_08
transcript.pyannote[645].start 4293.89159375
transcript.pyannote[645].end 4295.69721875
transcript.pyannote[646].speaker SPEAKER_08
transcript.pyannote[646].start 4296.30471875
transcript.pyannote[646].end 4297.75596875
transcript.pyannote[647].speaker SPEAKER_08
transcript.pyannote[647].start 4297.97534375
transcript.pyannote[647].end 4299.69659375
transcript.pyannote[648].speaker SPEAKER_08
transcript.pyannote[648].start 4300.28721875
transcript.pyannote[648].end 4301.56971875
transcript.pyannote[649].speaker SPEAKER_08
transcript.pyannote[649].start 4301.87346875
transcript.pyannote[649].end 4303.27409375
transcript.pyannote[650].speaker SPEAKER_08
transcript.pyannote[650].start 4303.74659375
transcript.pyannote[650].end 4305.48471875
transcript.pyannote[651].speaker SPEAKER_08
transcript.pyannote[651].start 4305.55221875
transcript.pyannote[651].end 4308.50534375
transcript.pyannote[652].speaker SPEAKER_08
transcript.pyannote[652].start 4310.34471875
transcript.pyannote[652].end 4312.45409375
transcript.pyannote[653].speaker SPEAKER_08
transcript.pyannote[653].start 4312.90971875
transcript.pyannote[653].end 4314.25971875
transcript.pyannote[654].speaker SPEAKER_08
transcript.pyannote[654].start 4314.90096875
transcript.pyannote[654].end 4316.77409375
transcript.pyannote[655].speaker SPEAKER_08
transcript.pyannote[655].start 4317.07784375
transcript.pyannote[655].end 4318.27596875
transcript.pyannote[656].speaker SPEAKER_08
transcript.pyannote[656].start 4318.49534375
transcript.pyannote[656].end 4322.10659375
transcript.pyannote[657].speaker SPEAKER_10
transcript.pyannote[657].start 4323.15284375
transcript.pyannote[657].end 4324.50284375
transcript.pyannote[658].speaker SPEAKER_10
transcript.pyannote[658].start 4325.73471875
transcript.pyannote[658].end 4335.65721875
transcript.pyannote[659].speaker SPEAKER_10
transcript.pyannote[659].start 4336.61909375
transcript.pyannote[659].end 4350.47346875
transcript.pyannote[660].speaker SPEAKER_08
transcript.pyannote[660].start 4350.84471875
transcript.pyannote[660].end 4353.49409375
transcript.pyannote[661].speaker SPEAKER_08
transcript.pyannote[661].start 4354.32096875
transcript.pyannote[661].end 4356.49784375
transcript.pyannote[662].speaker SPEAKER_08
transcript.pyannote[662].start 4358.69159375
transcript.pyannote[662].end 4361.50971875
transcript.pyannote[663].speaker SPEAKER_08
transcript.pyannote[663].start 4362.16784375
transcript.pyannote[663].end 4362.70784375
transcript.pyannote[664].speaker SPEAKER_08
transcript.pyannote[664].start 4363.18034375
transcript.pyannote[664].end 4365.15471875
transcript.pyannote[665].speaker SPEAKER_08
transcript.pyannote[665].start 4366.31909375
transcript.pyannote[665].end 4368.52971875
transcript.pyannote[666].speaker SPEAKER_08
transcript.pyannote[666].start 4369.37346875
transcript.pyannote[666].end 4370.43659375
transcript.pyannote[667].speaker SPEAKER_08
transcript.pyannote[667].start 4370.72346875
transcript.pyannote[667].end 4371.38159375
transcript.pyannote[668].speaker SPEAKER_08
transcript.pyannote[668].start 4372.20846875
transcript.pyannote[668].end 4373.54159375
transcript.pyannote[669].speaker SPEAKER_08
transcript.pyannote[669].start 4374.23346875
transcript.pyannote[669].end 4375.00971875
transcript.pyannote[670].speaker SPEAKER_08
transcript.pyannote[670].start 4375.56659375
transcript.pyannote[670].end 4376.25846875
transcript.pyannote[671].speaker SPEAKER_08
transcript.pyannote[671].start 4376.79846875
transcript.pyannote[671].end 4378.31721875
transcript.pyannote[672].speaker SPEAKER_08
transcript.pyannote[672].start 4378.78971875
transcript.pyannote[672].end 4381.25346875
transcript.pyannote[673].speaker SPEAKER_08
transcript.pyannote[673].start 4381.54034375
transcript.pyannote[673].end 4382.87346875
transcript.pyannote[674].speaker SPEAKER_08
transcript.pyannote[674].start 4383.10971875
transcript.pyannote[674].end 4384.35846875
transcript.pyannote[675].speaker SPEAKER_10
transcript.pyannote[675].start 4385.11784375
transcript.pyannote[675].end 4385.45534375
transcript.pyannote[676].speaker SPEAKER_10
transcript.pyannote[676].start 4386.06284375
transcript.pyannote[676].end 4398.33096875
transcript.pyannote[677].speaker SPEAKER_10
transcript.pyannote[677].start 4398.58409375
transcript.pyannote[677].end 4413.26534375
transcript.pyannote[678].speaker SPEAKER_10
transcript.pyannote[678].start 4413.40034375
transcript.pyannote[678].end 4416.08346875
transcript.pyannote[679].speaker SPEAKER_10
transcript.pyannote[679].start 4416.40409375
transcript.pyannote[679].end 4437.21096875
transcript.pyannote[680].speaker SPEAKER_10
transcript.pyannote[680].start 4437.97034375
transcript.pyannote[680].end 4439.43846875
transcript.pyannote[681].speaker SPEAKER_10
transcript.pyannote[681].start 4439.80971875
transcript.pyannote[681].end 4443.06659375
transcript.pyannote[682].speaker SPEAKER_10
transcript.pyannote[682].start 4443.15096875
transcript.pyannote[682].end 4462.97909375
transcript.pyannote[683].speaker SPEAKER_10
transcript.pyannote[683].start 4463.65409375
transcript.pyannote[683].end 4483.71846875
transcript.pyannote[684].speaker SPEAKER_10
transcript.pyannote[684].start 4484.17409375
transcript.pyannote[684].end 4515.61221875
transcript.pyannote[685].speaker SPEAKER_10
transcript.pyannote[685].start 4516.05096875
transcript.pyannote[685].end 4520.69159375
transcript.pyannote[686].speaker SPEAKER_30
transcript.pyannote[686].start 4521.60284375
transcript.pyannote[686].end 4522.81784375
transcript.pyannote[687].speaker SPEAKER_30
transcript.pyannote[687].start 4522.88534375
transcript.pyannote[687].end 4528.45409375
transcript.pyannote[688].speaker SPEAKER_30
transcript.pyannote[688].start 4528.55534375
transcript.pyannote[688].end 4547.33721875
transcript.pyannote[689].speaker SPEAKER_30
transcript.pyannote[689].start 4547.74221875
transcript.pyannote[689].end 4549.56471875
transcript.pyannote[690].speaker SPEAKER_30
transcript.pyannote[690].start 4549.69971875
transcript.pyannote[690].end 4554.96471875
transcript.pyannote[691].speaker SPEAKER_30
transcript.pyannote[691].start 4555.42034375
transcript.pyannote[691].end 4558.40721875
transcript.pyannote[692].speaker SPEAKER_30
transcript.pyannote[692].start 4558.47471875
transcript.pyannote[692].end 4561.00596875
transcript.pyannote[693].speaker SPEAKER_30
transcript.pyannote[693].start 4561.42784375
transcript.pyannote[693].end 4562.92971875
transcript.pyannote[694].speaker SPEAKER_30
transcript.pyannote[694].start 4563.21659375
transcript.pyannote[694].end 4566.05159375
transcript.pyannote[695].speaker SPEAKER_30
transcript.pyannote[695].start 4566.47346875
transcript.pyannote[695].end 4568.04284375
transcript.pyannote[696].speaker SPEAKER_30
transcript.pyannote[696].start 4568.41409375
transcript.pyannote[696].end 4569.35909375
transcript.pyannote[697].speaker SPEAKER_30
transcript.pyannote[697].start 4569.57846875
transcript.pyannote[697].end 4570.75971875
transcript.pyannote[698].speaker SPEAKER_30
transcript.pyannote[698].start 4570.97909375
transcript.pyannote[698].end 4571.43471875
transcript.pyannote[699].speaker SPEAKER_30
transcript.pyannote[699].start 4571.55284375
transcript.pyannote[699].end 4576.95284375
transcript.pyannote[700].speaker SPEAKER_30
transcript.pyannote[700].start 4576.96971875
transcript.pyannote[700].end 4580.53034375
transcript.pyannote[701].speaker SPEAKER_30
transcript.pyannote[701].start 4580.74971875
transcript.pyannote[701].end 4589.42346875
transcript.pyannote[702].speaker SPEAKER_30
transcript.pyannote[702].start 4589.67659375
transcript.pyannote[702].end 4598.89034375
transcript.pyannote[703].speaker SPEAKER_30
transcript.pyannote[703].start 4598.99159375
transcript.pyannote[703].end 4604.03721875
transcript.pyannote[704].speaker SPEAKER_30
transcript.pyannote[704].start 4604.15534375
transcript.pyannote[704].end 4610.80409375
transcript.pyannote[705].speaker SPEAKER_30
transcript.pyannote[705].start 4610.90534375
transcript.pyannote[705].end 4618.44846875
transcript.pyannote[706].speaker SPEAKER_30
transcript.pyannote[706].start 4618.75221875
transcript.pyannote[706].end 4631.35784375
transcript.pyannote[707].speaker SPEAKER_33
transcript.pyannote[707].start 4642.71471875
transcript.pyannote[707].end 4642.78221875
transcript.pyannote[708].speaker SPEAKER_39
transcript.pyannote[708].start 4656.36659375
transcript.pyannote[708].end 4657.19346875
transcript.pyannote[709].speaker SPEAKER_39
transcript.pyannote[709].start 4658.96534375
transcript.pyannote[709].end 4664.78721875
transcript.pyannote[710].speaker SPEAKER_21
transcript.pyannote[710].start 4685.69534375
transcript.pyannote[710].end 4693.01909375
transcript.pyannote[711].speaker SPEAKER_39
transcript.pyannote[711].start 4693.42409375
transcript.pyannote[711].end 4697.62596875
transcript.pyannote[712].speaker SPEAKER_08
transcript.pyannote[712].start 4709.42159375
transcript.pyannote[712].end 4710.09659375
transcript.pyannote[713].speaker SPEAKER_21
transcript.pyannote[713].start 4710.19784375
transcript.pyannote[713].end 4712.10471875
transcript.pyannote[714].speaker SPEAKER_08
transcript.pyannote[714].start 4712.10471875
transcript.pyannote[714].end 4712.45909375
transcript.pyannote[715].speaker SPEAKER_21
transcript.pyannote[715].start 4712.32409375
transcript.pyannote[715].end 4745.28096875
transcript.pyannote[716].speaker SPEAKER_08
transcript.pyannote[716].start 4745.58471875
transcript.pyannote[716].end 4747.45784375
transcript.pyannote[717].speaker SPEAKER_08
transcript.pyannote[717].start 4747.84596875
transcript.pyannote[717].end 4751.52471875
transcript.pyannote[718].speaker SPEAKER_08
transcript.pyannote[718].start 4751.84534375
transcript.pyannote[718].end 4755.72659375
transcript.pyannote[719].speaker SPEAKER_08
transcript.pyannote[719].start 4756.01346875
transcript.pyannote[719].end 4757.16096875
transcript.pyannote[720].speaker SPEAKER_08
transcript.pyannote[720].start 4757.51534375
transcript.pyannote[720].end 4759.35471875
transcript.pyannote[721].speaker SPEAKER_08
transcript.pyannote[721].start 4759.82721875
transcript.pyannote[721].end 4761.49784375
transcript.pyannote[722].speaker SPEAKER_08
transcript.pyannote[722].start 4761.68346875
transcript.pyannote[722].end 4764.41721875
transcript.pyannote[723].speaker SPEAKER_08
transcript.pyannote[723].start 4764.58596875
transcript.pyannote[723].end 4765.78409375
transcript.pyannote[724].speaker SPEAKER_08
transcript.pyannote[724].start 4766.05409375
transcript.pyannote[724].end 4767.57284375
transcript.pyannote[725].speaker SPEAKER_08
transcript.pyannote[725].start 4767.80909375
transcript.pyannote[725].end 4771.57221875
transcript.pyannote[726].speaker SPEAKER_08
transcript.pyannote[726].start 4771.85909375
transcript.pyannote[726].end 4775.63909375
transcript.pyannote[727].speaker SPEAKER_08
transcript.pyannote[727].start 4775.82471875
transcript.pyannote[727].end 4785.22409375
transcript.pyannote[728].speaker SPEAKER_21
transcript.pyannote[728].start 4785.62909375
transcript.pyannote[728].end 4824.42471875
transcript.pyannote[729].speaker SPEAKER_21
transcript.pyannote[729].start 4824.69471875
transcript.pyannote[729].end 4859.64284375
transcript.pyannote[730].speaker SPEAKER_00
transcript.pyannote[730].start 4836.94596875
transcript.pyannote[730].end 4837.35096875
transcript.pyannote[731].speaker SPEAKER_37
transcript.pyannote[731].start 4860.72284375
transcript.pyannote[731].end 4869.76784375
transcript.pyannote[732].speaker SPEAKER_37
transcript.pyannote[732].start 4869.98721875
transcript.pyannote[732].end 4871.26971875
transcript.pyannote[733].speaker SPEAKER_37
transcript.pyannote[733].start 4871.65784375
transcript.pyannote[733].end 4872.34971875
transcript.pyannote[734].speaker SPEAKER_37
transcript.pyannote[734].start 4872.68721875
transcript.pyannote[734].end 4877.31096875
transcript.pyannote[735].speaker SPEAKER_37
transcript.pyannote[735].start 4877.59784375
transcript.pyannote[735].end 4879.57221875
transcript.pyannote[736].speaker SPEAKER_37
transcript.pyannote[736].start 4879.75784375
transcript.pyannote[736].end 4880.11221875
transcript.pyannote[737].speaker SPEAKER_37
transcript.pyannote[737].start 4880.71971875
transcript.pyannote[737].end 4880.97284375
transcript.pyannote[738].speaker SPEAKER_37
transcript.pyannote[738].start 4881.05721875
transcript.pyannote[738].end 4891.38471875
transcript.pyannote[739].speaker SPEAKER_21
transcript.pyannote[739].start 4890.42284375
transcript.pyannote[739].end 4919.12721875
transcript.pyannote[740].speaker SPEAKER_37
transcript.pyannote[740].start 4893.98346875
transcript.pyannote[740].end 4894.27034375
transcript.pyannote[741].speaker SPEAKER_21
transcript.pyannote[741].start 4919.31284375
transcript.pyannote[741].end 4932.15471875
transcript.pyannote[742].speaker SPEAKER_21
transcript.pyannote[742].start 4932.61034375
transcript.pyannote[742].end 4938.38159375
transcript.pyannote[743].speaker SPEAKER_37
transcript.pyannote[743].start 4938.61784375
transcript.pyannote[743].end 4951.98284375
transcript.pyannote[744].speaker SPEAKER_37
transcript.pyannote[744].start 4952.01659375
transcript.pyannote[744].end 4952.05034375
transcript.pyannote[745].speaker SPEAKER_37
transcript.pyannote[745].start 4952.08409375
transcript.pyannote[745].end 4953.43409375
transcript.pyannote[746].speaker SPEAKER_37
transcript.pyannote[746].start 4953.83909375
transcript.pyannote[746].end 4957.23096875
transcript.pyannote[747].speaker SPEAKER_37
transcript.pyannote[747].start 4957.77096875
transcript.pyannote[747].end 4959.12096875
transcript.pyannote[748].speaker SPEAKER_37
transcript.pyannote[748].start 4959.59346875
transcript.pyannote[748].end 4961.44971875
transcript.pyannote[749].speaker SPEAKER_37
transcript.pyannote[749].start 4961.88846875
transcript.pyannote[749].end 4963.30596875
transcript.pyannote[750].speaker SPEAKER_37
transcript.pyannote[750].start 4963.42409375
transcript.pyannote[750].end 4965.73596875
transcript.pyannote[751].speaker SPEAKER_37
transcript.pyannote[751].start 4966.03971875
transcript.pyannote[751].end 4968.08159375
transcript.pyannote[752].speaker SPEAKER_37
transcript.pyannote[752].start 4968.33471875
transcript.pyannote[752].end 4973.16096875
transcript.pyannote[753].speaker SPEAKER_21
transcript.pyannote[753].start 4973.39721875
transcript.pyannote[753].end 4973.66721875
transcript.pyannote[754].speaker SPEAKER_21
transcript.pyannote[754].start 4973.80221875
transcript.pyannote[754].end 5016.24284375
transcript.pyannote[755].speaker SPEAKER_37
transcript.pyannote[755].start 4976.68784375
transcript.pyannote[755].end 4979.13471875
transcript.pyannote[756].speaker SPEAKER_00
transcript.pyannote[756].start 5006.59034375
transcript.pyannote[756].end 5006.62409375
transcript.pyannote[757].speaker SPEAKER_20
transcript.pyannote[757].start 5006.62409375
transcript.pyannote[757].end 5007.01221875
transcript.pyannote[758].speaker SPEAKER_00
transcript.pyannote[758].start 5007.01221875
transcript.pyannote[758].end 5007.06284375
transcript.pyannote[759].speaker SPEAKER_21
transcript.pyannote[759].start 5016.42846875
transcript.pyannote[759].end 5018.65596875
transcript.pyannote[760].speaker SPEAKER_21
transcript.pyannote[760].start 5019.01034375
transcript.pyannote[760].end 5022.55409375
transcript.pyannote[761].speaker SPEAKER_20
transcript.pyannote[761].start 5024.07284375
transcript.pyannote[761].end 5026.45221875
transcript.pyannote[762].speaker SPEAKER_21
transcript.pyannote[762].start 5026.23284375
transcript.pyannote[762].end 5036.23971875
transcript.pyannote[763].speaker SPEAKER_20
transcript.pyannote[763].start 5036.57721875
transcript.pyannote[763].end 5036.71221875
transcript.pyannote[764].speaker SPEAKER_20
transcript.pyannote[764].start 5036.91471875
transcript.pyannote[764].end 5044.00221875
transcript.pyannote[765].speaker SPEAKER_21
transcript.pyannote[765].start 5044.27221875
transcript.pyannote[765].end 5044.44096875
transcript.pyannote[766].speaker SPEAKER_21
transcript.pyannote[766].start 5044.76159375
transcript.pyannote[766].end 5061.34971875
transcript.pyannote[767].speaker SPEAKER_21
transcript.pyannote[767].start 5061.72096875
transcript.pyannote[767].end 5062.49721875
transcript.pyannote[768].speaker SPEAKER_21
transcript.pyannote[768].start 5062.73346875
transcript.pyannote[768].end 5089.32846875
transcript.pyannote[769].speaker SPEAKER_21
transcript.pyannote[769].start 5089.61534375
transcript.pyannote[769].end 5101.36034375
transcript.pyannote[770].speaker SPEAKER_21
transcript.pyannote[770].start 5101.88346875
transcript.pyannote[770].end 5111.56971875
transcript.pyannote[771].speaker SPEAKER_21
transcript.pyannote[771].start 5112.09284375
transcript.pyannote[771].end 5123.75346875
transcript.pyannote[772].speaker SPEAKER_21
transcript.pyannote[772].start 5124.39471875
transcript.pyannote[772].end 5131.75221875
transcript.pyannote[773].speaker SPEAKER_21
transcript.pyannote[773].start 5132.32596875
transcript.pyannote[773].end 5144.02034375
transcript.pyannote[774].speaker SPEAKER_21
transcript.pyannote[774].start 5144.34096875
transcript.pyannote[774].end 5169.58596875
transcript.pyannote[775].speaker SPEAKER_21
transcript.pyannote[775].start 5170.09221875
transcript.pyannote[775].end 5191.69221875
transcript.pyannote[776].speaker SPEAKER_20
transcript.pyannote[776].start 5188.77284375
transcript.pyannote[776].end 5190.49409375
transcript.pyannote[777].speaker SPEAKER_20
transcript.pyannote[777].start 5191.69221875
transcript.pyannote[777].end 5191.94534375
transcript.pyannote[778].speaker SPEAKER_21
transcript.pyannote[778].start 5191.94534375
transcript.pyannote[778].end 5191.96221875
transcript.pyannote[779].speaker SPEAKER_20
transcript.pyannote[779].start 5191.96221875
transcript.pyannote[779].end 5209.22534375
transcript.pyannote[780].speaker SPEAKER_21
transcript.pyannote[780].start 5192.16471875
transcript.pyannote[780].end 5192.87346875
transcript.pyannote[781].speaker SPEAKER_21
transcript.pyannote[781].start 5197.96971875
transcript.pyannote[781].end 5199.97784375
transcript.pyannote[782].speaker SPEAKER_33
transcript.pyannote[782].start 5199.97784375
transcript.pyannote[782].end 5200.02846875
transcript.pyannote[783].speaker SPEAKER_22
transcript.pyannote[783].start 5200.02846875
transcript.pyannote[783].end 5209.66409375
transcript.pyannote[784].speaker SPEAKER_21
transcript.pyannote[784].start 5209.22534375
transcript.pyannote[784].end 5209.25909375
transcript.pyannote[785].speaker SPEAKER_20
transcript.pyannote[785].start 5209.25909375
transcript.pyannote[785].end 5209.27596875
transcript.pyannote[786].speaker SPEAKER_22
transcript.pyannote[786].start 5210.15346875
transcript.pyannote[786].end 5214.49034375
transcript.pyannote[787].speaker SPEAKER_21
transcript.pyannote[787].start 5213.59596875
transcript.pyannote[787].end 5228.58096875
transcript.pyannote[788].speaker SPEAKER_22
transcript.pyannote[788].start 5216.90346875
transcript.pyannote[788].end 5218.87784375
transcript.pyannote[789].speaker SPEAKER_22
transcript.pyannote[789].start 5221.03784375
transcript.pyannote[789].end 5222.67471875
transcript.pyannote[790].speaker SPEAKER_22
transcript.pyannote[790].start 5225.29034375
transcript.pyannote[790].end 5226.92721875
transcript.pyannote[791].speaker SPEAKER_22
transcript.pyannote[791].start 5228.58096875
transcript.pyannote[791].end 5237.96346875
transcript.pyannote[792].speaker SPEAKER_21
transcript.pyannote[792].start 5228.59784375
transcript.pyannote[792].end 5229.37409375
transcript.pyannote[793].speaker SPEAKER_21
transcript.pyannote[793].start 5231.61846875
transcript.pyannote[793].end 5234.04846875
transcript.pyannote[794].speaker SPEAKER_21
transcript.pyannote[794].start 5237.96346875
transcript.pyannote[794].end 5272.03409375
transcript.pyannote[795].speaker SPEAKER_22
transcript.pyannote[795].start 5244.03846875
transcript.pyannote[795].end 5244.54471875
transcript.pyannote[796].speaker SPEAKER_22
transcript.pyannote[796].start 5245.81034375
transcript.pyannote[796].end 5245.92846875
transcript.pyannote[797].speaker SPEAKER_22
transcript.pyannote[797].start 5263.59659375
transcript.pyannote[797].end 5269.36784375
transcript.pyannote[798].speaker SPEAKER_22
transcript.pyannote[798].start 5272.03409375
transcript.pyannote[798].end 5297.97096875
transcript.pyannote[799].speaker SPEAKER_21
transcript.pyannote[799].start 5273.92409375
transcript.pyannote[799].end 5276.74221875
transcript.pyannote[800].speaker SPEAKER_33
transcript.pyannote[800].start 5276.74221875
transcript.pyannote[800].end 5276.75909375
transcript.pyannote[801].speaker SPEAKER_21
transcript.pyannote[801].start 5283.79596875
transcript.pyannote[801].end 5285.29784375
transcript.pyannote[802].speaker SPEAKER_21
transcript.pyannote[802].start 5285.68596875
transcript.pyannote[802].end 5286.17534375
transcript.pyannote[803].speaker SPEAKER_21
transcript.pyannote[803].start 5297.97096875
transcript.pyannote[803].end 5300.02971875
transcript.pyannote[804].speaker SPEAKER_21
transcript.pyannote[804].start 5300.35034375
transcript.pyannote[804].end 5315.36909375
transcript.pyannote[805].speaker SPEAKER_20
transcript.pyannote[805].start 5307.01596875
transcript.pyannote[805].end 5309.96909375
transcript.pyannote[806].speaker SPEAKER_22
transcript.pyannote[806].start 5309.96909375
transcript.pyannote[806].end 5319.08159375
transcript.pyannote[807].speaker SPEAKER_21
transcript.pyannote[807].start 5315.75721875
transcript.pyannote[807].end 5320.49909375
transcript.pyannote[808].speaker SPEAKER_08
transcript.pyannote[808].start 5319.08159375
transcript.pyannote[808].end 5319.73971875
transcript.pyannote[809].speaker SPEAKER_21
transcript.pyannote[809].start 5320.70159375
transcript.pyannote[809].end 5322.91221875
transcript.pyannote[810].speaker SPEAKER_08
transcript.pyannote[810].start 5323.26659375
transcript.pyannote[810].end 5333.59409375
transcript.pyannote[811].speaker SPEAKER_21
transcript.pyannote[811].start 5323.63784375
transcript.pyannote[811].end 5324.11034375
transcript.pyannote[812].speaker SPEAKER_21
transcript.pyannote[812].start 5332.88534375
transcript.pyannote[812].end 5340.27659375
transcript.pyannote[813].speaker SPEAKER_21
transcript.pyannote[813].start 5340.81659375
transcript.pyannote[813].end 5361.03284375
transcript.pyannote[814].speaker SPEAKER_21
transcript.pyannote[814].start 5361.67409375
transcript.pyannote[814].end 5366.12909375
transcript.pyannote[815].speaker SPEAKER_21
transcript.pyannote[815].start 5366.43284375
transcript.pyannote[815].end 5376.52409375
transcript.pyannote[816].speaker SPEAKER_00
transcript.pyannote[816].start 5367.02346875
transcript.pyannote[816].end 5367.78284375
transcript.pyannote[817].speaker SPEAKER_08
transcript.pyannote[817].start 5368.60971875
transcript.pyannote[817].end 5368.71096875
transcript.pyannote[818].speaker SPEAKER_08
transcript.pyannote[818].start 5368.74471875
transcript.pyannote[818].end 5368.76159375
transcript.pyannote[819].speaker SPEAKER_08
transcript.pyannote[819].start 5368.79534375
transcript.pyannote[819].end 5368.84596875
transcript.pyannote[820].speaker SPEAKER_08
transcript.pyannote[820].start 5374.56659375
transcript.pyannote[820].end 5384.70846875
transcript.pyannote[821].speaker SPEAKER_21
transcript.pyannote[821].start 5376.59159375
transcript.pyannote[821].end 5377.09784375
transcript.pyannote[822].speaker SPEAKER_21
transcript.pyannote[822].start 5383.07159375
transcript.pyannote[822].end 5430.91221875
transcript.pyannote[823].speaker SPEAKER_08
transcript.pyannote[823].start 5386.36221875
transcript.pyannote[823].end 5388.97784375
transcript.pyannote[824].speaker SPEAKER_09
transcript.pyannote[824].start 5388.97784375
transcript.pyannote[824].end 5389.43346875
transcript.pyannote[825].speaker SPEAKER_09
transcript.pyannote[825].start 5391.76221875
transcript.pyannote[825].end 5392.84221875
transcript.pyannote[826].speaker SPEAKER_09
transcript.pyannote[826].start 5397.51659375
transcript.pyannote[826].end 5397.66846875
transcript.pyannote[827].speaker SPEAKER_09
transcript.pyannote[827].start 5398.17471875
transcript.pyannote[827].end 5399.57534375
transcript.pyannote[828].speaker SPEAKER_09
transcript.pyannote[828].start 5400.89159375
transcript.pyannote[828].end 5403.05159375
transcript.pyannote[829].speaker SPEAKER_09
transcript.pyannote[829].start 5410.05471875
transcript.pyannote[829].end 5414.72909375
transcript.pyannote[830].speaker SPEAKER_08
transcript.pyannote[830].start 5427.14909375
transcript.pyannote[830].end 5429.74784375
transcript.pyannote[831].speaker SPEAKER_21
transcript.pyannote[831].start 5431.36784375
transcript.pyannote[831].end 5465.47221875
transcript.pyannote[832].speaker SPEAKER_09
transcript.pyannote[832].start 5432.78534375
transcript.pyannote[832].end 5438.16846875
transcript.pyannote[833].speaker SPEAKER_09
transcript.pyannote[833].start 5446.70721875
transcript.pyannote[833].end 5448.74909375
transcript.pyannote[834].speaker SPEAKER_09
transcript.pyannote[834].start 5449.54221875
transcript.pyannote[834].end 5451.55034375
transcript.pyannote[835].speaker SPEAKER_09
transcript.pyannote[835].start 5452.49534375
transcript.pyannote[835].end 5454.31784375
transcript.pyannote[836].speaker SPEAKER_09
transcript.pyannote[836].start 5457.05159375
transcript.pyannote[836].end 5458.97534375
transcript.pyannote[837].speaker SPEAKER_00
transcript.pyannote[837].start 5458.97534375
transcript.pyannote[837].end 5459.02596875
transcript.pyannote[838].speaker SPEAKER_09
transcript.pyannote[838].start 5459.02596875
transcript.pyannote[838].end 5461.45596875
transcript.pyannote[839].speaker SPEAKER_21
transcript.pyannote[839].start 5465.89409375
transcript.pyannote[839].end 5508.67221875
transcript.pyannote[840].speaker SPEAKER_33
transcript.pyannote[840].start 5474.82096875
transcript.pyannote[840].end 5475.27659375
transcript.pyannote[841].speaker SPEAKER_21
transcript.pyannote[841].start 5509.04346875
transcript.pyannote[841].end 5571.86909375
transcript.pyannote[842].speaker SPEAKER_21
transcript.pyannote[842].start 5572.79721875
transcript.pyannote[842].end 5586.09471875
transcript.pyannote[843].speaker SPEAKER_21
transcript.pyannote[843].start 5586.73596875
transcript.pyannote[843].end 5587.91721875
transcript.pyannote[844].speaker SPEAKER_08
transcript.pyannote[844].start 5587.02284375
transcript.pyannote[844].end 5590.19534375
transcript.pyannote[845].speaker SPEAKER_08
transcript.pyannote[845].start 5590.58346875
transcript.pyannote[845].end 5591.62971875
transcript.pyannote[846].speaker SPEAKER_08
transcript.pyannote[846].start 5591.84909375
transcript.pyannote[846].end 5593.89096875
transcript.pyannote[847].speaker SPEAKER_08
transcript.pyannote[847].start 5594.09346875
transcript.pyannote[847].end 5595.22409375
transcript.pyannote[848].speaker SPEAKER_08
transcript.pyannote[848].start 5596.94534375
transcript.pyannote[848].end 5597.41784375
transcript.pyannote[849].speaker SPEAKER_21
transcript.pyannote[849].start 5597.08034375
transcript.pyannote[849].end 5603.66159375
transcript.pyannote[850].speaker SPEAKER_08
transcript.pyannote[850].start 5602.51409375
transcript.pyannote[850].end 5605.45034375
transcript.pyannote[851].speaker SPEAKER_21
transcript.pyannote[851].start 5605.68659375
transcript.pyannote[851].end 5607.34034375
transcript.pyannote[852].speaker SPEAKER_21
transcript.pyannote[852].start 5608.06596875
transcript.pyannote[852].end 5616.53721875
transcript.pyannote[853].speaker SPEAKER_08
transcript.pyannote[853].start 5608.79159375
transcript.pyannote[853].end 5611.77846875
transcript.pyannote[854].speaker SPEAKER_09
transcript.pyannote[854].start 5611.77846875
transcript.pyannote[854].end 5611.79534375
transcript.pyannote[855].speaker SPEAKER_08
transcript.pyannote[855].start 5614.12409375
transcript.pyannote[855].end 5614.34346875
transcript.pyannote[856].speaker SPEAKER_21
transcript.pyannote[856].start 5616.79034375
transcript.pyannote[856].end 5622.03846875
transcript.pyannote[857].speaker SPEAKER_08
transcript.pyannote[857].start 5616.87471875
transcript.pyannote[857].end 5617.81971875
transcript.pyannote[858].speaker SPEAKER_08
transcript.pyannote[858].start 5620.38471875
transcript.pyannote[858].end 5621.90346875
transcript.pyannote[859].speaker SPEAKER_08
transcript.pyannote[859].start 5622.03846875
transcript.pyannote[859].end 5622.12284375
transcript.pyannote[860].speaker SPEAKER_08
transcript.pyannote[860].start 5622.40971875
transcript.pyannote[860].end 5626.05471875
transcript.pyannote[861].speaker SPEAKER_21
transcript.pyannote[861].start 5624.83971875
transcript.pyannote[861].end 5661.03659375
transcript.pyannote[862].speaker SPEAKER_09
transcript.pyannote[862].start 5636.90534375
transcript.pyannote[862].end 5639.72346875
transcript.pyannote[863].speaker SPEAKER_22
transcript.pyannote[863].start 5647.51971875
transcript.pyannote[863].end 5647.89096875
transcript.pyannote[864].speaker SPEAKER_09
transcript.pyannote[864].start 5647.89096875
transcript.pyannote[864].end 5647.97534375
transcript.pyannote[865].speaker SPEAKER_22
transcript.pyannote[865].start 5647.97534375
transcript.pyannote[865].end 5648.04284375
transcript.pyannote[866].speaker SPEAKER_09
transcript.pyannote[866].start 5653.32471875
transcript.pyannote[866].end 5654.42159375
transcript.pyannote[867].speaker SPEAKER_09
transcript.pyannote[867].start 5656.24409375
transcript.pyannote[867].end 5656.27784375
transcript.pyannote[868].speaker SPEAKER_08
transcript.pyannote[868].start 5656.27784375
transcript.pyannote[868].end 5660.90159375
transcript.pyannote[869].speaker SPEAKER_08
transcript.pyannote[869].start 5661.03659375
transcript.pyannote[869].end 5670.36846875
transcript.pyannote[870].speaker SPEAKER_08
transcript.pyannote[870].start 5670.75659375
transcript.pyannote[870].end 5675.24534375
transcript.pyannote[871].speaker SPEAKER_21
transcript.pyannote[871].start 5674.16534375
transcript.pyannote[871].end 5833.41471875
transcript.pyannote[872].speaker SPEAKER_09
transcript.pyannote[872].start 5679.22784375
transcript.pyannote[872].end 5679.29534375
transcript.pyannote[873].speaker SPEAKER_08
transcript.pyannote[873].start 5679.29534375
transcript.pyannote[873].end 5679.97034375
transcript.pyannote[874].speaker SPEAKER_09
transcript.pyannote[874].start 5679.97034375
transcript.pyannote[874].end 5680.42596875
transcript.pyannote[875].speaker SPEAKER_09
transcript.pyannote[875].start 5682.45096875
transcript.pyannote[875].end 5685.65721875
transcript.pyannote[876].speaker SPEAKER_22
transcript.pyannote[876].start 5685.65721875
transcript.pyannote[876].end 5685.67409375
transcript.pyannote[877].speaker SPEAKER_15
transcript.pyannote[877].start 5689.31909375
transcript.pyannote[877].end 5689.35284375
transcript.pyannote[878].speaker SPEAKER_22
transcript.pyannote[878].start 5689.35284375
transcript.pyannote[878].end 5689.55534375
transcript.pyannote[879].speaker SPEAKER_15
transcript.pyannote[879].start 5689.55534375
transcript.pyannote[879].end 5691.17534375
transcript.pyannote[880].speaker SPEAKER_15
transcript.pyannote[880].start 5691.98534375
transcript.pyannote[880].end 5692.00221875
transcript.pyannote[881].speaker SPEAKER_09
transcript.pyannote[881].start 5692.00221875
transcript.pyannote[881].end 5692.77846875
transcript.pyannote[882].speaker SPEAKER_09
transcript.pyannote[882].start 5695.76534375
transcript.pyannote[882].end 5701.43534375
transcript.pyannote[883].speaker SPEAKER_22
transcript.pyannote[883].start 5701.43534375
transcript.pyannote[883].end 5701.48596875
transcript.pyannote[884].speaker SPEAKER_09
transcript.pyannote[884].start 5721.48284375
transcript.pyannote[884].end 5722.32659375
transcript.pyannote[885].speaker SPEAKER_09
transcript.pyannote[885].start 5724.95909375
transcript.pyannote[885].end 5727.13596875
transcript.pyannote[886].speaker SPEAKER_09
transcript.pyannote[886].start 5728.62096875
transcript.pyannote[886].end 5730.27471875
transcript.pyannote[887].speaker SPEAKER_00
transcript.pyannote[887].start 5757.02159375
transcript.pyannote[887].end 5757.03846875
transcript.pyannote[888].speaker SPEAKER_33
transcript.pyannote[888].start 5757.03846875
transcript.pyannote[888].end 5757.52784375
transcript.pyannote[889].speaker SPEAKER_08
transcript.pyannote[889].start 5833.81971875
transcript.pyannote[889].end 5838.15659375
transcript.pyannote[890].speaker SPEAKER_08
transcript.pyannote[890].start 5838.37596875
transcript.pyannote[890].end 5839.60784375
transcript.pyannote[891].speaker SPEAKER_08
transcript.pyannote[891].start 5839.77659375
transcript.pyannote[891].end 5840.53596875
transcript.pyannote[892].speaker SPEAKER_08
transcript.pyannote[892].start 5840.85659375
transcript.pyannote[892].end 5844.11346875
transcript.pyannote[893].speaker SPEAKER_08
transcript.pyannote[893].start 5844.70409375
transcript.pyannote[893].end 5846.59409375
transcript.pyannote[894].speaker SPEAKER_08
transcript.pyannote[894].start 5847.30284375
transcript.pyannote[894].end 5848.11284375
transcript.pyannote[895].speaker SPEAKER_21
transcript.pyannote[895].start 5847.31971875
transcript.pyannote[895].end 5884.34346875
transcript.pyannote[896].speaker SPEAKER_09
transcript.pyannote[896].start 5857.79909375
transcript.pyannote[896].end 5860.17846875
transcript.pyannote[897].speaker SPEAKER_33
transcript.pyannote[897].start 5872.76721875
transcript.pyannote[897].end 5872.96971875
transcript.pyannote[898].speaker SPEAKER_00
transcript.pyannote[898].start 5872.96971875
transcript.pyannote[898].end 5873.22284375
transcript.pyannote[899].speaker SPEAKER_08
transcript.pyannote[899].start 5884.29284375
transcript.pyannote[899].end 5887.44846875
transcript.pyannote[900].speaker SPEAKER_21
transcript.pyannote[900].start 5884.39409375
transcript.pyannote[900].end 5884.41096875
transcript.pyannote[901].speaker SPEAKER_21
transcript.pyannote[901].start 5884.42784375
transcript.pyannote[901].end 5884.49534375
transcript.pyannote[902].speaker SPEAKER_21
transcript.pyannote[902].start 5886.45284375
transcript.pyannote[902].end 5898.34971875
transcript.pyannote[903].speaker SPEAKER_08
transcript.pyannote[903].start 5889.08534375
transcript.pyannote[903].end 5890.51971875
transcript.pyannote[904].speaker SPEAKER_08
transcript.pyannote[904].start 5894.72159375
transcript.pyannote[904].end 5897.01659375
transcript.pyannote[905].speaker SPEAKER_08
transcript.pyannote[905].start 5897.92784375
transcript.pyannote[905].end 5901.06659375
transcript.pyannote[906].speaker SPEAKER_21
transcript.pyannote[906].start 5900.86409375
transcript.pyannote[906].end 5906.55096875
transcript.pyannote[907].speaker SPEAKER_08
transcript.pyannote[907].start 5904.54284375
transcript.pyannote[907].end 5907.71534375
transcript.pyannote[908].speaker SPEAKER_21
transcript.pyannote[908].start 5908.15409375
transcript.pyannote[908].end 5937.31409375
transcript.pyannote[909].speaker SPEAKER_08
transcript.pyannote[909].start 5910.17909375
transcript.pyannote[909].end 5910.51659375
transcript.pyannote[910].speaker SPEAKER_08
transcript.pyannote[910].start 5935.69409375
transcript.pyannote[910].end 5945.86971875
transcript.pyannote[911].speaker SPEAKER_21
transcript.pyannote[911].start 5937.60096875
transcript.pyannote[911].end 5939.35596875
transcript.pyannote[912].speaker SPEAKER_21
transcript.pyannote[912].start 5943.87846875
transcript.pyannote[912].end 5944.82346875
transcript.pyannote[913].speaker SPEAKER_21
transcript.pyannote[913].start 5945.38034375
transcript.pyannote[913].end 5959.82534375
transcript.pyannote[914].speaker SPEAKER_08
transcript.pyannote[914].start 5947.57409375
transcript.pyannote[914].end 5951.03346875
transcript.pyannote[915].speaker SPEAKER_09
transcript.pyannote[915].start 5951.03346875
transcript.pyannote[915].end 5951.70846875
transcript.pyannote[916].speaker SPEAKER_09
transcript.pyannote[916].start 5953.46346875
transcript.pyannote[916].end 5955.06659375
transcript.pyannote[917].speaker SPEAKER_21
transcript.pyannote[917].start 5960.73659375
transcript.pyannote[917].end 5978.21909375
transcript.pyannote[918].speaker SPEAKER_09
transcript.pyannote[918].start 5960.82096875
transcript.pyannote[918].end 5960.85471875
transcript.pyannote[919].speaker SPEAKER_15
transcript.pyannote[919].start 5960.85471875
transcript.pyannote[919].end 5960.87159375
transcript.pyannote[920].speaker SPEAKER_22
transcript.pyannote[920].start 5960.87159375
transcript.pyannote[920].end 5961.96846875
transcript.pyannote[921].speaker SPEAKER_09
transcript.pyannote[921].start 5972.85284375
transcript.pyannote[921].end 5985.03659375
transcript.pyannote[922].speaker SPEAKER_22
transcript.pyannote[922].start 5978.57346875
transcript.pyannote[922].end 5984.20971875
transcript.pyannote[923].speaker SPEAKER_22
transcript.pyannote[923].start 5984.31096875
transcript.pyannote[923].end 5989.96409375
transcript.pyannote[924].speaker SPEAKER_33
transcript.pyannote[924].start 5985.03659375
transcript.pyannote[924].end 5985.39096875
transcript.pyannote[925].speaker SPEAKER_09
transcript.pyannote[925].start 5985.39096875
transcript.pyannote[925].end 5985.42471875
transcript.pyannote[926].speaker SPEAKER_21
transcript.pyannote[926].start 5989.96409375
transcript.pyannote[926].end 6003.41346875
transcript.pyannote[927].speaker SPEAKER_09
transcript.pyannote[927].start 5996.49471875
transcript.pyannote[927].end 5998.03034375
transcript.pyannote[928].speaker SPEAKER_08
transcript.pyannote[928].start 5998.03034375
transcript.pyannote[928].end 6001.67534375
transcript.pyannote[929].speaker SPEAKER_08
transcript.pyannote[929].start 6002.04659375
transcript.pyannote[929].end 6002.06346875
transcript.pyannote[930].speaker SPEAKER_08
transcript.pyannote[930].start 6002.08034375
transcript.pyannote[930].end 6004.78034375
transcript.pyannote[931].speaker SPEAKER_15
transcript.pyannote[931].start 6003.41346875
transcript.pyannote[931].end 6003.46409375
transcript.pyannote[932].speaker SPEAKER_21
transcript.pyannote[932].start 6005.15159375
transcript.pyannote[932].end 6005.64096875
transcript.pyannote[933].speaker SPEAKER_08
transcript.pyannote[933].start 6005.74221875
transcript.pyannote[933].end 6009.10034375
transcript.pyannote[934].speaker SPEAKER_21
transcript.pyannote[934].start 6009.31971875
transcript.pyannote[934].end 6009.97784375
transcript.pyannote[935].speaker SPEAKER_33
transcript.pyannote[935].start 6009.97784375
transcript.pyannote[935].end 6010.04534375
transcript.pyannote[936].speaker SPEAKER_08
transcript.pyannote[936].start 6010.04534375
transcript.pyannote[936].end 6014.41596875
transcript.pyannote[937].speaker SPEAKER_33
transcript.pyannote[937].start 6011.02409375
transcript.pyannote[937].end 6012.03659375
transcript.pyannote[938].speaker SPEAKER_09
transcript.pyannote[938].start 6012.03659375
transcript.pyannote[938].end 6012.44159375
transcript.pyannote[939].speaker SPEAKER_09
transcript.pyannote[939].start 6012.82971875
transcript.pyannote[939].end 6013.94346875
transcript.pyannote[940].speaker SPEAKER_09
transcript.pyannote[940].start 6014.24721875
transcript.pyannote[940].end 6015.15846875
transcript.pyannote[941].speaker SPEAKER_22
transcript.pyannote[941].start 6014.41596875
transcript.pyannote[941].end 6014.60159375
transcript.pyannote[942].speaker SPEAKER_08
transcript.pyannote[942].start 6014.60159375
transcript.pyannote[942].end 6014.97284375
transcript.pyannote[943].speaker SPEAKER_22
transcript.pyannote[943].start 6014.97284375
transcript.pyannote[943].end 6060.92346875
transcript.pyannote[944].speaker SPEAKER_09
transcript.pyannote[944].start 6016.49159375
transcript.pyannote[944].end 6018.90471875
transcript.pyannote[945].speaker SPEAKER_09
transcript.pyannote[945].start 6041.14596875
transcript.pyannote[945].end 6047.64284375
transcript.pyannote[946].speaker SPEAKER_09
transcript.pyannote[946].start 6051.70971875
transcript.pyannote[946].end 6056.31659375
transcript.pyannote[947].speaker SPEAKER_09
transcript.pyannote[947].start 6059.30346875
transcript.pyannote[947].end 6060.29909375
transcript.pyannote[948].speaker SPEAKER_22
transcript.pyannote[948].start 6061.24409375
transcript.pyannote[948].end 6068.97284375
transcript.pyannote[949].speaker SPEAKER_21
transcript.pyannote[949].start 6068.97284375
transcript.pyannote[949].end 6073.02284375
transcript.pyannote[950].speaker SPEAKER_22
transcript.pyannote[950].start 6073.02284375
transcript.pyannote[950].end 6073.96784375
transcript.pyannote[951].speaker SPEAKER_21
transcript.pyannote[951].start 6073.96784375
transcript.pyannote[951].end 6079.03034375
transcript.pyannote[952].speaker SPEAKER_22
transcript.pyannote[952].start 6079.03034375
transcript.pyannote[952].end 6083.31659375
transcript.pyannote[953].speaker SPEAKER_22
transcript.pyannote[953].start 6083.53596875
transcript.pyannote[953].end 6096.05721875
transcript.pyannote[954].speaker SPEAKER_09
transcript.pyannote[954].start 6088.04159375
transcript.pyannote[954].end 6088.85159375
transcript.pyannote[955].speaker SPEAKER_00
transcript.pyannote[955].start 6088.85159375
transcript.pyannote[955].end 6088.93596875
transcript.pyannote[956].speaker SPEAKER_00
transcript.pyannote[956].start 6089.96534375
transcript.pyannote[956].end 6089.98221875
transcript.pyannote[957].speaker SPEAKER_21
transcript.pyannote[957].start 6089.98221875
transcript.pyannote[957].end 6089.99909375
transcript.pyannote[958].speaker SPEAKER_09
transcript.pyannote[958].start 6089.99909375
transcript.pyannote[958].end 6092.73284375
transcript.pyannote[959].speaker SPEAKER_14
transcript.pyannote[959].start 6092.73284375
transcript.pyannote[959].end 6093.17159375
transcript.pyannote[960].speaker SPEAKER_09
transcript.pyannote[960].start 6093.17159375
transcript.pyannote[960].end 6093.20534375
transcript.pyannote[961].speaker SPEAKER_22
transcript.pyannote[961].start 6096.22596875
transcript.pyannote[961].end 6099.44909375
transcript.pyannote[962].speaker SPEAKER_21
transcript.pyannote[962].start 6097.44096875
transcript.pyannote[962].end 6099.19596875
transcript.pyannote[963].speaker SPEAKER_09
transcript.pyannote[963].start 6099.19596875
transcript.pyannote[963].end 6099.41534375
transcript.pyannote[964].speaker SPEAKER_21
transcript.pyannote[964].start 6099.41534375
transcript.pyannote[964].end 6100.02284375
transcript.pyannote[965].speaker SPEAKER_21
transcript.pyannote[965].start 6100.79909375
transcript.pyannote[965].end 6101.45721875
transcript.pyannote[966].speaker SPEAKER_21
transcript.pyannote[966].start 6102.45284375
transcript.pyannote[966].end 6103.70159375
transcript.pyannote[967].speaker SPEAKER_21
transcript.pyannote[967].start 6104.78159375
transcript.pyannote[967].end 6107.02596875
transcript.pyannote[968].speaker SPEAKER_08
transcript.pyannote[968].start 6105.89534375
transcript.pyannote[968].end 6108.19034375
transcript.pyannote[969].speaker SPEAKER_21
transcript.pyannote[969].start 6107.49846875
transcript.pyannote[969].end 6109.86096875
transcript.pyannote[970].speaker SPEAKER_08
transcript.pyannote[970].start 6108.66284375
transcript.pyannote[970].end 6111.86909375
transcript.pyannote[971].speaker SPEAKER_21
transcript.pyannote[971].start 6111.02534375
transcript.pyannote[971].end 6112.24034375
transcript.pyannote[972].speaker SPEAKER_08
transcript.pyannote[972].start 6112.24034375
transcript.pyannote[972].end 6113.70846875
transcript.pyannote[973].speaker SPEAKER_21
transcript.pyannote[973].start 6113.18534375
transcript.pyannote[973].end 6132.99659375
transcript.pyannote[974].speaker SPEAKER_09
transcript.pyannote[974].start 6121.28534375
transcript.pyannote[974].end 6124.49159375
transcript.pyannote[975].speaker SPEAKER_21
transcript.pyannote[975].start 6133.41846875
transcript.pyannote[975].end 6135.35909375
transcript.pyannote[976].speaker SPEAKER_21
transcript.pyannote[976].start 6135.66284375
transcript.pyannote[976].end 6137.56971875
transcript.pyannote[977].speaker SPEAKER_21
transcript.pyannote[977].start 6138.19409375
transcript.pyannote[977].end 6140.03346875
transcript.pyannote[978].speaker SPEAKER_21
transcript.pyannote[978].start 6140.13471875
transcript.pyannote[978].end 6141.14721875
transcript.pyannote[979].speaker SPEAKER_21
transcript.pyannote[979].start 6141.40034375
transcript.pyannote[979].end 6148.62284375
transcript.pyannote[980].speaker SPEAKER_21
transcript.pyannote[980].start 6148.80846875
transcript.pyannote[980].end 6150.34409375
transcript.pyannote[981].speaker SPEAKER_21
transcript.pyannote[981].start 6151.23846875
transcript.pyannote[981].end 6158.89971875
transcript.pyannote[982].speaker SPEAKER_21
transcript.pyannote[982].start 6159.10221875
transcript.pyannote[982].end 6165.02534375
transcript.pyannote[983].speaker SPEAKER_21
transcript.pyannote[983].start 6165.53159375
transcript.pyannote[983].end 6168.78846875
transcript.pyannote[984].speaker SPEAKER_21
transcript.pyannote[984].start 6168.94034375
transcript.pyannote[984].end 6169.61534375
transcript.pyannote[985].speaker SPEAKER_21
transcript.pyannote[985].start 6170.25659375
transcript.pyannote[985].end 6177.31034375
transcript.pyannote[986].speaker SPEAKER_21
transcript.pyannote[986].start 6177.81659375
transcript.pyannote[986].end 6219.68346875
transcript.pyannote[987].speaker SPEAKER_21
transcript.pyannote[987].start 6220.15596875
transcript.pyannote[987].end 6235.22534375
transcript.pyannote[988].speaker SPEAKER_21
transcript.pyannote[988].start 6235.47846875
transcript.pyannote[988].end 6237.60471875
transcript.pyannote[989].speaker SPEAKER_21
transcript.pyannote[989].start 6238.04346875
transcript.pyannote[989].end 6271.97909375
transcript.pyannote[990].speaker SPEAKER_21
transcript.pyannote[990].start 6272.56971875
transcript.pyannote[990].end 6275.84346875
transcript.pyannote[991].speaker SPEAKER_21
transcript.pyannote[991].start 6276.95721875
transcript.pyannote[991].end 6283.25159375
transcript.pyannote[992].speaker SPEAKER_21
transcript.pyannote[992].start 6283.50471875
transcript.pyannote[992].end 6285.42846875
transcript.pyannote[993].speaker SPEAKER_21
transcript.pyannote[993].start 6285.64784375
transcript.pyannote[993].end 6286.79534375
transcript.pyannote[994].speaker SPEAKER_21
transcript.pyannote[994].start 6287.99346875
transcript.pyannote[994].end 6295.67159375
transcript.pyannote[995].speaker SPEAKER_21
transcript.pyannote[995].start 6296.16096875
transcript.pyannote[995].end 6305.49284375
transcript.pyannote[996].speaker SPEAKER_21
transcript.pyannote[996].start 6306.23534375
transcript.pyannote[996].end 6316.95096875
transcript.pyannote[997].speaker SPEAKER_21
transcript.pyannote[997].start 6317.54159375
transcript.pyannote[997].end 6326.94096875
transcript.pyannote[998].speaker SPEAKER_21
transcript.pyannote[998].start 6327.22784375
transcript.pyannote[998].end 6328.99971875
transcript.pyannote[999].speaker SPEAKER_21
transcript.pyannote[999].start 6329.30346875
transcript.pyannote[999].end 6342.93846875
transcript.pyannote[1000].speaker SPEAKER_21
transcript.pyannote[1000].start 6343.51221875
transcript.pyannote[1000].end 6360.13409375
transcript.pyannote[1001].speaker SPEAKER_32
transcript.pyannote[1001].start 6360.55596875
transcript.pyannote[1001].end 6394.89659375
transcript.pyannote[1002].speaker SPEAKER_32
transcript.pyannote[1002].start 6395.21721875
transcript.pyannote[1002].end 6456.97971875
transcript.pyannote[1003].speaker SPEAKER_33
transcript.pyannote[1003].start 6430.23284375
transcript.pyannote[1003].end 6431.54909375
transcript.pyannote[1004].speaker SPEAKER_33
transcript.pyannote[1004].start 6433.08471875
transcript.pyannote[1004].end 6435.02534375
transcript.pyannote[1005].speaker SPEAKER_22
transcript.pyannote[1005].start 6435.02534375
transcript.pyannote[1005].end 6436.71284375
transcript.pyannote[1006].speaker SPEAKER_14
transcript.pyannote[1006].start 6441.69096875
transcript.pyannote[1006].end 6442.23096875
transcript.pyannote[1007].speaker SPEAKER_09
transcript.pyannote[1007].start 6451.76534375
transcript.pyannote[1007].end 6459.96659375
transcript.pyannote[1008].speaker SPEAKER_22
transcript.pyannote[1008].start 6456.97971875
transcript.pyannote[1008].end 6457.03034375
transcript.pyannote[1009].speaker SPEAKER_14
transcript.pyannote[1009].start 6457.03034375
transcript.pyannote[1009].end 6461.09721875
transcript.pyannote[1010].speaker SPEAKER_22
transcript.pyannote[1010].start 6459.96659375
transcript.pyannote[1010].end 6461.02971875
transcript.pyannote[1011].speaker SPEAKER_21
transcript.pyannote[1011].start 6461.02971875
transcript.pyannote[1011].end 6476.97659375
transcript.pyannote[1012].speaker SPEAKER_22
transcript.pyannote[1012].start 6472.11659375
transcript.pyannote[1012].end 6483.01784375
transcript.pyannote[1013].speaker SPEAKER_33
transcript.pyannote[1013].start 6476.97659375
transcript.pyannote[1013].end 6477.39846875
transcript.pyannote[1014].speaker SPEAKER_21
transcript.pyannote[1014].start 6478.57971875
transcript.pyannote[1014].end 6478.61346875
transcript.pyannote[1015].speaker SPEAKER_33
transcript.pyannote[1015].start 6478.61346875
transcript.pyannote[1015].end 6483.15284375
transcript.pyannote[1016].speaker SPEAKER_22
transcript.pyannote[1016].start 6483.20346875
transcript.pyannote[1016].end 6486.96659375
transcript.pyannote[1017].speaker SPEAKER_33
transcript.pyannote[1017].start 6484.40159375
transcript.pyannote[1017].end 6484.57034375
transcript.pyannote[1018].speaker SPEAKER_21
transcript.pyannote[1018].start 6486.96659375
transcript.pyannote[1018].end 6504.48284375
transcript.pyannote[1019].speaker SPEAKER_09
transcript.pyannote[1019].start 6492.46784375
transcript.pyannote[1019].end 6497.14221875
transcript.pyannote[1020].speaker SPEAKER_09
transcript.pyannote[1020].start 6499.75784375
transcript.pyannote[1020].end 6507.03096875
transcript.pyannote[1021].speaker SPEAKER_22
transcript.pyannote[1021].start 6504.48284375
transcript.pyannote[1021].end 6505.02284375
transcript.pyannote[1022].speaker SPEAKER_21
transcript.pyannote[1022].start 6505.02284375
transcript.pyannote[1022].end 6505.96784375
transcript.pyannote[1023].speaker SPEAKER_22
transcript.pyannote[1023].start 6505.96784375
transcript.pyannote[1023].end 6507.33471875
transcript.pyannote[1024].speaker SPEAKER_21
transcript.pyannote[1024].start 6507.03096875
transcript.pyannote[1024].end 6507.87471875
transcript.pyannote[1025].speaker SPEAKER_09
transcript.pyannote[1025].start 6507.33471875
transcript.pyannote[1025].end 6507.35159375
transcript.pyannote[1026].speaker SPEAKER_22
transcript.pyannote[1026].start 6507.35159375
transcript.pyannote[1026].end 6514.54034375
transcript.pyannote[1027].speaker SPEAKER_09
transcript.pyannote[1027].start 6507.87471875
transcript.pyannote[1027].end 6509.73096875
transcript.pyannote[1028].speaker SPEAKER_21
transcript.pyannote[1028].start 6509.73096875
transcript.pyannote[1028].end 6509.84909375
transcript.pyannote[1029].speaker SPEAKER_39
transcript.pyannote[1029].start 6531.80346875
transcript.pyannote[1029].end 6534.21659375
transcript.pyannote[1030].speaker SPEAKER_39
transcript.pyannote[1030].start 6534.89159375
transcript.pyannote[1030].end 6536.08971875
transcript.pyannote[1031].speaker SPEAKER_39
transcript.pyannote[1031].start 6536.32596875
transcript.pyannote[1031].end 6537.18659375
transcript.pyannote[1032].speaker SPEAKER_39
transcript.pyannote[1032].start 6538.84034375
transcript.pyannote[1032].end 6543.05909375
transcript.pyannote[1033].speaker SPEAKER_39
transcript.pyannote[1033].start 7315.98471875
transcript.pyannote[1033].end 7321.08096875
transcript.pyannote[1034].speaker SPEAKER_13
transcript.pyannote[1034].start 7337.87159375
transcript.pyannote[1034].end 7340.06534375
transcript.pyannote[1035].speaker SPEAKER_39
transcript.pyannote[1035].start 7342.25909375
transcript.pyannote[1035].end 7343.23784375
transcript.pyannote[1036].speaker SPEAKER_13
transcript.pyannote[1036].start 7353.95346875
transcript.pyannote[1036].end 7354.96596875
transcript.pyannote[1037].speaker SPEAKER_20
transcript.pyannote[1037].start 7354.05471875
transcript.pyannote[1037].end 7354.08846875
transcript.pyannote[1038].speaker SPEAKER_08
transcript.pyannote[1038].start 7354.08846875
transcript.pyannote[1038].end 7354.81409375
transcript.pyannote[1039].speaker SPEAKER_13
transcript.pyannote[1039].start 7355.35409375
transcript.pyannote[1039].end 7355.80971875
transcript.pyannote[1040].speaker SPEAKER_13
transcript.pyannote[1040].start 7356.43409375
transcript.pyannote[1040].end 7361.88471875
transcript.pyannote[1041].speaker SPEAKER_13
transcript.pyannote[1041].start 7361.96909375
transcript.pyannote[1041].end 7365.66471875
transcript.pyannote[1042].speaker SPEAKER_13
transcript.pyannote[1042].start 7365.90096875
transcript.pyannote[1042].end 7368.28034375
transcript.pyannote[1043].speaker SPEAKER_13
transcript.pyannote[1043].start 7368.88784375
transcript.pyannote[1043].end 7377.17346875
transcript.pyannote[1044].speaker SPEAKER_13
transcript.pyannote[1044].start 7377.59534375
transcript.pyannote[1044].end 7382.52284375
transcript.pyannote[1045].speaker SPEAKER_13
transcript.pyannote[1045].start 7382.67471875
transcript.pyannote[1045].end 7383.56909375
transcript.pyannote[1046].speaker SPEAKER_13
transcript.pyannote[1046].start 7384.14284375
transcript.pyannote[1046].end 7387.31534375
transcript.pyannote[1047].speaker SPEAKER_13
transcript.pyannote[1047].start 7387.50096875
transcript.pyannote[1047].end 7400.17409375
transcript.pyannote[1048].speaker SPEAKER_13
transcript.pyannote[1048].start 7400.74784375
transcript.pyannote[1048].end 7405.79346875
transcript.pyannote[1049].speaker SPEAKER_13
transcript.pyannote[1049].start 7406.31659375
transcript.pyannote[1049].end 7408.12221875
transcript.pyannote[1050].speaker SPEAKER_13
transcript.pyannote[1050].start 7408.56096875
transcript.pyannote[1050].end 7411.27784375
transcript.pyannote[1051].speaker SPEAKER_13
transcript.pyannote[1051].start 7412.00346875
transcript.pyannote[1051].end 7413.62346875
transcript.pyannote[1052].speaker SPEAKER_13
transcript.pyannote[1052].start 7414.16346875
transcript.pyannote[1052].end 7416.01971875
transcript.pyannote[1053].speaker SPEAKER_13
transcript.pyannote[1053].start 7416.25596875
transcript.pyannote[1053].end 7418.68596875
transcript.pyannote[1054].speaker SPEAKER_13
transcript.pyannote[1054].start 7418.90534375
transcript.pyannote[1054].end 7420.13721875
transcript.pyannote[1055].speaker SPEAKER_13
transcript.pyannote[1055].start 7420.62659375
transcript.pyannote[1055].end 7422.48284375
transcript.pyannote[1056].speaker SPEAKER_13
transcript.pyannote[1056].start 7422.90471875
transcript.pyannote[1056].end 7424.59221875
transcript.pyannote[1057].speaker SPEAKER_13
transcript.pyannote[1057].start 7425.11534375
transcript.pyannote[1057].end 7427.89971875
transcript.pyannote[1058].speaker SPEAKER_13
transcript.pyannote[1058].start 7428.08534375
transcript.pyannote[1058].end 7434.12659375
transcript.pyannote[1059].speaker SPEAKER_13
transcript.pyannote[1059].start 7434.49784375
transcript.pyannote[1059].end 7447.10346875
transcript.pyannote[1060].speaker SPEAKER_13
transcript.pyannote[1060].start 7447.60971875
transcript.pyannote[1060].end 7449.97221875
transcript.pyannote[1061].speaker SPEAKER_13
transcript.pyannote[1061].start 7450.68096875
transcript.pyannote[1061].end 7454.10659375
transcript.pyannote[1062].speaker SPEAKER_13
transcript.pyannote[1062].start 7454.91659375
transcript.pyannote[1062].end 7455.47346875
transcript.pyannote[1063].speaker SPEAKER_13
transcript.pyannote[1063].start 7456.67159375
transcript.pyannote[1063].end 7458.78096875
transcript.pyannote[1064].speaker SPEAKER_13
transcript.pyannote[1064].start 7459.03409375
transcript.pyannote[1064].end 7459.37159375
transcript.pyannote[1065].speaker SPEAKER_13
transcript.pyannote[1065].start 7459.59096875
transcript.pyannote[1065].end 7460.11409375
transcript.pyannote[1066].speaker SPEAKER_13
transcript.pyannote[1066].start 7461.32909375
transcript.pyannote[1066].end 7462.35846875
transcript.pyannote[1067].speaker SPEAKER_13
transcript.pyannote[1067].start 7462.72971875
transcript.pyannote[1067].end 7463.28659375
transcript.pyannote[1068].speaker SPEAKER_13
transcript.pyannote[1068].start 7463.62409375
transcript.pyannote[1068].end 7464.65346875
transcript.pyannote[1069].speaker SPEAKER_13
transcript.pyannote[1069].start 7465.07534375
transcript.pyannote[1069].end 7467.60659375
transcript.pyannote[1070].speaker SPEAKER_13
transcript.pyannote[1070].start 7468.36596875
transcript.pyannote[1070].end 7468.82159375
transcript.pyannote[1071].speaker SPEAKER_13
transcript.pyannote[1071].start 7469.05784375
transcript.pyannote[1071].end 7470.08721875
transcript.pyannote[1072].speaker SPEAKER_13
transcript.pyannote[1072].start 7470.23909375
transcript.pyannote[1072].end 7470.61034375
transcript.pyannote[1073].speaker SPEAKER_13
transcript.pyannote[1073].start 7471.13346875
transcript.pyannote[1073].end 7473.19221875
transcript.pyannote[1074].speaker SPEAKER_13
transcript.pyannote[1074].start 7473.81659375
transcript.pyannote[1074].end 7474.39034375
transcript.pyannote[1075].speaker SPEAKER_13
transcript.pyannote[1075].start 7474.93034375
transcript.pyannote[1075].end 7475.48721875
transcript.pyannote[1076].speaker SPEAKER_13
transcript.pyannote[1076].start 7475.90909375
transcript.pyannote[1076].end 7479.67221875
transcript.pyannote[1077].speaker SPEAKER_13
transcript.pyannote[1077].start 7479.94221875
transcript.pyannote[1077].end 7481.05596875
transcript.pyannote[1078].speaker SPEAKER_08
transcript.pyannote[1078].start 7482.18659375
transcript.pyannote[1078].end 7483.78971875
transcript.pyannote[1079].speaker SPEAKER_08
transcript.pyannote[1079].start 7484.12721875
transcript.pyannote[1079].end 7484.73471875
transcript.pyannote[1080].speaker SPEAKER_13
transcript.pyannote[1080].start 7485.12284375
transcript.pyannote[1080].end 7485.19034375
transcript.pyannote[1081].speaker SPEAKER_08
transcript.pyannote[1081].start 7485.19034375
transcript.pyannote[1081].end 7486.08471875
transcript.pyannote[1082].speaker SPEAKER_08
transcript.pyannote[1082].start 7486.48971875
transcript.pyannote[1082].end 7487.82284375
transcript.pyannote[1083].speaker SPEAKER_08
transcript.pyannote[1083].start 7488.10971875
transcript.pyannote[1083].end 7489.42596875
transcript.pyannote[1084].speaker SPEAKER_13
transcript.pyannote[1084].start 7488.12659375
transcript.pyannote[1084].end 7488.14346875
transcript.pyannote[1085].speaker SPEAKER_15
transcript.pyannote[1085].start 7488.14346875
transcript.pyannote[1085].end 7488.56534375
transcript.pyannote[1086].speaker SPEAKER_15
transcript.pyannote[1086].start 7489.94909375
transcript.pyannote[1086].end 7490.03346875
transcript.pyannote[1087].speaker SPEAKER_08
transcript.pyannote[1087].start 7490.03346875
transcript.pyannote[1087].end 7490.20221875
transcript.pyannote[1088].speaker SPEAKER_08
transcript.pyannote[1088].start 7490.32034375
transcript.pyannote[1088].end 7492.22721875
transcript.pyannote[1089].speaker SPEAKER_08
transcript.pyannote[1089].start 7492.75034375
transcript.pyannote[1089].end 7494.48846875
transcript.pyannote[1090].speaker SPEAKER_08
transcript.pyannote[1090].start 7494.94409375
transcript.pyannote[1090].end 7495.31534375
transcript.pyannote[1091].speaker SPEAKER_08
transcript.pyannote[1091].start 7495.45034375
transcript.pyannote[1091].end 7496.63159375
transcript.pyannote[1092].speaker SPEAKER_08
transcript.pyannote[1092].start 7497.00284375
transcript.pyannote[1092].end 7498.11659375
transcript.pyannote[1093].speaker SPEAKER_08
transcript.pyannote[1093].start 7498.57221875
transcript.pyannote[1093].end 7500.52971875
transcript.pyannote[1094].speaker SPEAKER_08
transcript.pyannote[1094].start 7501.17096875
transcript.pyannote[1094].end 7501.72784375
transcript.pyannote[1095].speaker SPEAKER_08
transcript.pyannote[1095].start 7502.35221875
transcript.pyannote[1095].end 7503.80346875
transcript.pyannote[1096].speaker SPEAKER_08
transcript.pyannote[1096].start 7504.78221875
transcript.pyannote[1096].end 7505.62596875
transcript.pyannote[1097].speaker SPEAKER_08
transcript.pyannote[1097].start 7506.01409375
transcript.pyannote[1097].end 7507.22909375
transcript.pyannote[1098].speaker SPEAKER_08
transcript.pyannote[1098].start 7507.36409375
transcript.pyannote[1098].end 7512.12284375
transcript.pyannote[1099].speaker SPEAKER_08
transcript.pyannote[1099].start 7512.37596875
transcript.pyannote[1099].end 7514.18159375
transcript.pyannote[1100].speaker SPEAKER_08
transcript.pyannote[1100].start 7514.58659375
transcript.pyannote[1100].end 7515.41346875
transcript.pyannote[1101].speaker SPEAKER_08
transcript.pyannote[1101].start 7515.81846875
transcript.pyannote[1101].end 7517.42159375
transcript.pyannote[1102].speaker SPEAKER_08
transcript.pyannote[1102].start 7517.84346875
transcript.pyannote[1102].end 7519.34534375
transcript.pyannote[1103].speaker SPEAKER_08
transcript.pyannote[1103].start 7519.81784375
transcript.pyannote[1103].end 7521.03284375
transcript.pyannote[1104].speaker SPEAKER_08
transcript.pyannote[1104].start 7521.43784375
transcript.pyannote[1104].end 7521.77534375
transcript.pyannote[1105].speaker SPEAKER_08
transcript.pyannote[1105].start 7522.06221875
transcript.pyannote[1105].end 7523.26034375
transcript.pyannote[1106].speaker SPEAKER_08
transcript.pyannote[1106].start 7523.47971875
transcript.pyannote[1106].end 7523.93534375
transcript.pyannote[1107].speaker SPEAKER_08
transcript.pyannote[1107].start 7524.34034375
transcript.pyannote[1107].end 7526.78721875
transcript.pyannote[1108].speaker SPEAKER_08
transcript.pyannote[1108].start 7526.83784375
transcript.pyannote[1108].end 7528.66034375
transcript.pyannote[1109].speaker SPEAKER_08
transcript.pyannote[1109].start 7528.77846875
transcript.pyannote[1109].end 7530.53346875
transcript.pyannote[1110].speaker SPEAKER_08
transcript.pyannote[1110].start 7531.02284375
transcript.pyannote[1110].end 7532.35596875
transcript.pyannote[1111].speaker SPEAKER_13
transcript.pyannote[1111].start 7531.42784375
transcript.pyannote[1111].end 7533.97596875
transcript.pyannote[1112].speaker SPEAKER_08
transcript.pyannote[1112].start 7533.97596875
transcript.pyannote[1112].end 7534.02659375
transcript.pyannote[1113].speaker SPEAKER_13
transcript.pyannote[1113].start 7534.02659375
transcript.pyannote[1113].end 7534.16159375
transcript.pyannote[1114].speaker SPEAKER_08
transcript.pyannote[1114].start 7534.16159375
transcript.pyannote[1114].end 7534.88721875
transcript.pyannote[1115].speaker SPEAKER_13
transcript.pyannote[1115].start 7534.66784375
transcript.pyannote[1115].end 7536.54096875
transcript.pyannote[1116].speaker SPEAKER_13
transcript.pyannote[1116].start 7536.76034375
transcript.pyannote[1116].end 7538.39721875
transcript.pyannote[1117].speaker SPEAKER_13
transcript.pyannote[1117].start 7538.66721875
transcript.pyannote[1117].end 7540.28721875
transcript.pyannote[1118].speaker SPEAKER_13
transcript.pyannote[1118].start 7541.09721875
transcript.pyannote[1118].end 7542.58221875
transcript.pyannote[1119].speaker SPEAKER_08
transcript.pyannote[1119].start 7542.58221875
transcript.pyannote[1119].end 7547.35784375
transcript.pyannote[1120].speaker SPEAKER_13
transcript.pyannote[1120].start 7542.61596875
transcript.pyannote[1120].end 7542.66659375
transcript.pyannote[1121].speaker SPEAKER_13
transcript.pyannote[1121].start 7546.41284375
transcript.pyannote[1121].end 7550.12534375
transcript.pyannote[1122].speaker SPEAKER_13
transcript.pyannote[1122].start 7550.37846875
transcript.pyannote[1122].end 7555.76159375
transcript.pyannote[1123].speaker SPEAKER_13
transcript.pyannote[1123].start 7555.96409375
transcript.pyannote[1123].end 7558.64721875
transcript.pyannote[1124].speaker SPEAKER_13
transcript.pyannote[1124].start 7559.08596875
transcript.pyannote[1124].end 7564.72221875
transcript.pyannote[1125].speaker SPEAKER_13
transcript.pyannote[1125].start 7565.00909375
transcript.pyannote[1125].end 7565.93721875
transcript.pyannote[1126].speaker SPEAKER_13
transcript.pyannote[1126].start 7566.19034375
transcript.pyannote[1126].end 7567.30409375
transcript.pyannote[1127].speaker SPEAKER_13
transcript.pyannote[1127].start 7567.48971875
transcript.pyannote[1127].end 7568.67096875
transcript.pyannote[1128].speaker SPEAKER_13
transcript.pyannote[1128].start 7568.77221875
transcript.pyannote[1128].end 7571.65784375
transcript.pyannote[1129].speaker SPEAKER_13
transcript.pyannote[1129].start 7572.55221875
transcript.pyannote[1129].end 7573.44659375
transcript.pyannote[1130].speaker SPEAKER_13
transcript.pyannote[1130].start 7573.75034375
transcript.pyannote[1130].end 7574.57721875
transcript.pyannote[1131].speaker SPEAKER_13
transcript.pyannote[1131].start 7574.83034375
transcript.pyannote[1131].end 7576.24784375
transcript.pyannote[1132].speaker SPEAKER_13
transcript.pyannote[1132].start 7576.28159375
transcript.pyannote[1132].end 7582.49159375
transcript.pyannote[1133].speaker SPEAKER_13
transcript.pyannote[1133].start 7582.86284375
transcript.pyannote[1133].end 7589.56221875
transcript.pyannote[1134].speaker SPEAKER_13
transcript.pyannote[1134].start 7590.16971875
transcript.pyannote[1134].end 7591.09784375
transcript.pyannote[1135].speaker SPEAKER_13
transcript.pyannote[1135].start 7591.58721875
transcript.pyannote[1135].end 7592.70096875
transcript.pyannote[1136].speaker SPEAKER_13
transcript.pyannote[1136].start 7592.81909375
transcript.pyannote[1136].end 7595.14784375
transcript.pyannote[1137].speaker SPEAKER_13
transcript.pyannote[1137].start 7595.21534375
transcript.pyannote[1137].end 7597.76346875
transcript.pyannote[1138].speaker SPEAKER_13
transcript.pyannote[1138].start 7597.78034375
transcript.pyannote[1138].end 7599.75471875
transcript.pyannote[1139].speaker SPEAKER_13
transcript.pyannote[1139].start 7600.46346875
transcript.pyannote[1139].end 7601.54346875
transcript.pyannote[1140].speaker SPEAKER_13
transcript.pyannote[1140].start 7602.08346875
transcript.pyannote[1140].end 7605.39096875
transcript.pyannote[1141].speaker SPEAKER_13
transcript.pyannote[1141].start 7605.59346875
transcript.pyannote[1141].end 7608.19221875
transcript.pyannote[1142].speaker SPEAKER_13
transcript.pyannote[1142].start 7608.46221875
transcript.pyannote[1142].end 7610.55471875
transcript.pyannote[1143].speaker SPEAKER_13
transcript.pyannote[1143].start 7610.87534375
transcript.pyannote[1143].end 7612.47846875
transcript.pyannote[1144].speaker SPEAKER_13
transcript.pyannote[1144].start 7612.56284375
transcript.pyannote[1144].end 7613.71034375
transcript.pyannote[1145].speaker SPEAKER_13
transcript.pyannote[1145].start 7614.16596875
transcript.pyannote[1145].end 7617.49034375
transcript.pyannote[1146].speaker SPEAKER_13
transcript.pyannote[1146].start 7617.67596875
transcript.pyannote[1146].end 7618.82346875
transcript.pyannote[1147].speaker SPEAKER_13
transcript.pyannote[1147].start 7619.12721875
transcript.pyannote[1147].end 7620.20721875
transcript.pyannote[1148].speaker SPEAKER_13
transcript.pyannote[1148].start 7620.62909375
transcript.pyannote[1148].end 7622.08034375
transcript.pyannote[1149].speaker SPEAKER_13
transcript.pyannote[1149].start 7622.35034375
transcript.pyannote[1149].end 7622.78909375
transcript.pyannote[1150].speaker SPEAKER_13
transcript.pyannote[1150].start 7623.07596875
transcript.pyannote[1150].end 7627.00784375
transcript.pyannote[1151].speaker SPEAKER_08
transcript.pyannote[1151].start 7626.19784375
transcript.pyannote[1151].end 7632.84659375
transcript.pyannote[1152].speaker SPEAKER_08
transcript.pyannote[1152].start 7633.11659375
transcript.pyannote[1152].end 7635.17534375
transcript.pyannote[1153].speaker SPEAKER_08
transcript.pyannote[1153].start 7635.46221875
transcript.pyannote[1153].end 7639.71471875
transcript.pyannote[1154].speaker SPEAKER_08
transcript.pyannote[1154].start 7639.81596875
transcript.pyannote[1154].end 7641.14909375
transcript.pyannote[1155].speaker SPEAKER_08
transcript.pyannote[1155].start 7641.38534375
transcript.pyannote[1155].end 7647.27471875
transcript.pyannote[1156].speaker SPEAKER_13
transcript.pyannote[1156].start 7645.06409375
transcript.pyannote[1156].end 7650.90284375
transcript.pyannote[1157].speaker SPEAKER_13
transcript.pyannote[1157].start 7650.97034375
transcript.pyannote[1157].end 7661.87159375
transcript.pyannote[1158].speaker SPEAKER_33
transcript.pyannote[1158].start 7661.87159375
transcript.pyannote[1158].end 7662.09096875
transcript.pyannote[1159].speaker SPEAKER_13
transcript.pyannote[1159].start 7662.09096875
transcript.pyannote[1159].end 7664.20034375
transcript.pyannote[1160].speaker SPEAKER_13
transcript.pyannote[1160].start 7664.70659375
transcript.pyannote[1160].end 7665.97221875
transcript.pyannote[1161].speaker SPEAKER_13
transcript.pyannote[1161].start 7666.29284375
transcript.pyannote[1161].end 7667.71034375
transcript.pyannote[1162].speaker SPEAKER_13
transcript.pyannote[1162].start 7667.96346875
transcript.pyannote[1162].end 7670.24159375
transcript.pyannote[1163].speaker SPEAKER_13
transcript.pyannote[1163].start 7670.35971875
transcript.pyannote[1163].end 7672.48596875
transcript.pyannote[1164].speaker SPEAKER_13
transcript.pyannote[1164].start 7672.51971875
transcript.pyannote[1164].end 7674.00471875
transcript.pyannote[1165].speaker SPEAKER_13
transcript.pyannote[1165].start 7674.10596875
transcript.pyannote[1165].end 7679.23596875
transcript.pyannote[1166].speaker SPEAKER_13
transcript.pyannote[1166].start 7679.52284375
transcript.pyannote[1166].end 7681.42971875
transcript.pyannote[1167].speaker SPEAKER_13
transcript.pyannote[1167].start 7681.88534375
transcript.pyannote[1167].end 7684.02846875
transcript.pyannote[1168].speaker SPEAKER_13
transcript.pyannote[1168].start 7684.33221875
transcript.pyannote[1168].end 7685.09159375
transcript.pyannote[1169].speaker SPEAKER_13
transcript.pyannote[1169].start 7685.54721875
transcript.pyannote[1169].end 7686.86346875
transcript.pyannote[1170].speaker SPEAKER_13
transcript.pyannote[1170].start 7687.15034375
transcript.pyannote[1170].end 7689.73221875
transcript.pyannote[1171].speaker SPEAKER_13
transcript.pyannote[1171].start 7690.20471875
transcript.pyannote[1171].end 7692.29721875
transcript.pyannote[1172].speaker SPEAKER_13
transcript.pyannote[1172].start 7692.70221875
transcript.pyannote[1172].end 7695.46971875
transcript.pyannote[1173].speaker SPEAKER_13
transcript.pyannote[1173].start 7695.82409375
transcript.pyannote[1173].end 7698.89534375
transcript.pyannote[1174].speaker SPEAKER_13
transcript.pyannote[1174].start 7699.45221875
transcript.pyannote[1174].end 7700.22846875
transcript.pyannote[1175].speaker SPEAKER_13
transcript.pyannote[1175].start 7700.85284375
transcript.pyannote[1175].end 7705.54409375
transcript.pyannote[1176].speaker SPEAKER_13
transcript.pyannote[1176].start 7705.98284375
transcript.pyannote[1176].end 7709.05409375
transcript.pyannote[1177].speaker SPEAKER_13
transcript.pyannote[1177].start 7709.54346875
transcript.pyannote[1177].end 7712.29409375
transcript.pyannote[1178].speaker SPEAKER_13
transcript.pyannote[1178].start 7712.86784375
transcript.pyannote[1178].end 7714.08284375
transcript.pyannote[1179].speaker SPEAKER_13
transcript.pyannote[1179].start 7715.11221875
transcript.pyannote[1179].end 7716.58034375
transcript.pyannote[1180].speaker SPEAKER_13
transcript.pyannote[1180].start 7717.06971875
transcript.pyannote[1180].end 7722.41909375
transcript.pyannote[1181].speaker SPEAKER_13
transcript.pyannote[1181].start 7722.72284375
transcript.pyannote[1181].end 7724.37659375
transcript.pyannote[1182].speaker SPEAKER_13
transcript.pyannote[1182].start 7724.81534375
transcript.pyannote[1182].end 7727.02596875
transcript.pyannote[1183].speaker SPEAKER_13
transcript.pyannote[1183].start 7727.54909375
transcript.pyannote[1183].end 7729.42221875
transcript.pyannote[1184].speaker SPEAKER_13
transcript.pyannote[1184].start 7729.92846875
transcript.pyannote[1184].end 7732.79721875
transcript.pyannote[1185].speaker SPEAKER_13
transcript.pyannote[1185].start 7733.28659375
transcript.pyannote[1185].end 7734.38346875
transcript.pyannote[1186].speaker SPEAKER_13
transcript.pyannote[1186].start 7734.85596875
transcript.pyannote[1186].end 7740.08721875
transcript.pyannote[1187].speaker SPEAKER_13
transcript.pyannote[1187].start 7740.18846875
transcript.pyannote[1187].end 7742.75346875
transcript.pyannote[1188].speaker SPEAKER_13
transcript.pyannote[1188].start 7742.85471875
transcript.pyannote[1188].end 7747.46159375
transcript.pyannote[1189].speaker SPEAKER_13
transcript.pyannote[1189].start 7748.03534375
transcript.pyannote[1189].end 7749.77346875
transcript.pyannote[1190].speaker SPEAKER_13
transcript.pyannote[1190].start 7750.31346875
transcript.pyannote[1190].end 7751.12346875
transcript.pyannote[1191].speaker SPEAKER_13
transcript.pyannote[1191].start 7751.62971875
transcript.pyannote[1191].end 7755.79784375
transcript.pyannote[1192].speaker SPEAKER_13
transcript.pyannote[1192].start 7756.25346875
transcript.pyannote[1192].end 7758.34596875
transcript.pyannote[1193].speaker SPEAKER_13
transcript.pyannote[1193].start 7758.75096875
transcript.pyannote[1193].end 7762.90221875
transcript.pyannote[1194].speaker SPEAKER_13
transcript.pyannote[1194].start 7763.02034375
transcript.pyannote[1194].end 7765.73721875
transcript.pyannote[1195].speaker SPEAKER_13
transcript.pyannote[1195].start 7766.05784375
transcript.pyannote[1195].end 7768.53846875
transcript.pyannote[1196].speaker SPEAKER_13
transcript.pyannote[1196].start 7768.97721875
transcript.pyannote[1196].end 7771.22159375
transcript.pyannote[1197].speaker SPEAKER_29
transcript.pyannote[1197].start 7772.03159375
transcript.pyannote[1197].end 7782.79784375
transcript.pyannote[1198].speaker SPEAKER_15
transcript.pyannote[1198].start 7780.24971875
transcript.pyannote[1198].end 7785.80159375
transcript.pyannote[1199].speaker SPEAKER_29
transcript.pyannote[1199].start 7786.30784375
transcript.pyannote[1199].end 7790.23971875
transcript.pyannote[1200].speaker SPEAKER_29
transcript.pyannote[1200].start 7790.72909375
transcript.pyannote[1200].end 7795.97721875
transcript.pyannote[1201].speaker SPEAKER_15
transcript.pyannote[1201].start 7792.02846875
transcript.pyannote[1201].end 7792.12971875
transcript.pyannote[1202].speaker SPEAKER_15
transcript.pyannote[1202].start 7793.51346875
transcript.pyannote[1202].end 7793.71596875
transcript.pyannote[1203].speaker SPEAKER_29
transcript.pyannote[1203].start 7796.16284375
transcript.pyannote[1203].end 7809.46034375
transcript.pyannote[1204].speaker SPEAKER_33
transcript.pyannote[1204].start 7799.99346875
transcript.pyannote[1204].end 7800.38159375
transcript.pyannote[1205].speaker SPEAKER_29
transcript.pyannote[1205].start 7809.98346875
transcript.pyannote[1205].end 7812.02534375
transcript.pyannote[1206].speaker SPEAKER_29
transcript.pyannote[1206].start 7812.49784375
transcript.pyannote[1206].end 7814.01659375
transcript.pyannote[1207].speaker SPEAKER_29
transcript.pyannote[1207].start 7814.18534375
transcript.pyannote[1207].end 7815.46784375
transcript.pyannote[1208].speaker SPEAKER_29
transcript.pyannote[1208].start 7815.65346875
transcript.pyannote[1208].end 7825.60971875
transcript.pyannote[1209].speaker SPEAKER_13
transcript.pyannote[1209].start 7824.47909375
transcript.pyannote[1209].end 7830.97596875
transcript.pyannote[1210].speaker SPEAKER_13
transcript.pyannote[1210].start 7831.39784375
transcript.pyannote[1210].end 7840.86471875
transcript.pyannote[1211].speaker SPEAKER_29
transcript.pyannote[1211].start 7841.21909375
transcript.pyannote[1211].end 7848.98159375
transcript.pyannote[1212].speaker SPEAKER_13
transcript.pyannote[1212].start 7843.37909375
transcript.pyannote[1212].end 7843.39596875
transcript.pyannote[1213].speaker SPEAKER_14
transcript.pyannote[1213].start 7843.39596875
transcript.pyannote[1213].end 7845.23534375
transcript.pyannote[1214].speaker SPEAKER_29
transcript.pyannote[1214].start 7849.31909375
transcript.pyannote[1214].end 7851.88409375
transcript.pyannote[1215].speaker SPEAKER_13
transcript.pyannote[1215].start 7851.24284375
transcript.pyannote[1215].end 7851.76596875
transcript.pyannote[1216].speaker SPEAKER_13
transcript.pyannote[1216].start 7852.18784375
transcript.pyannote[1216].end 7853.77409375
transcript.pyannote[1217].speaker SPEAKER_13
transcript.pyannote[1217].start 7854.28034375
transcript.pyannote[1217].end 7857.55409375
transcript.pyannote[1218].speaker SPEAKER_13
transcript.pyannote[1218].start 7857.89159375
transcript.pyannote[1218].end 7866.12659375
transcript.pyannote[1219].speaker SPEAKER_13
transcript.pyannote[1219].start 7866.68346875
transcript.pyannote[1219].end 7870.02471875
transcript.pyannote[1220].speaker SPEAKER_13
transcript.pyannote[1220].start 7870.04159375
transcript.pyannote[1220].end 7872.70784375
transcript.pyannote[1221].speaker SPEAKER_13
transcript.pyannote[1221].start 7872.85971875
transcript.pyannote[1221].end 7874.24346875
transcript.pyannote[1222].speaker SPEAKER_13
transcript.pyannote[1222].start 7874.66534375
transcript.pyannote[1222].end 7876.21784375
transcript.pyannote[1223].speaker SPEAKER_13
transcript.pyannote[1223].start 7876.62284375
transcript.pyannote[1223].end 7878.74909375
transcript.pyannote[1224].speaker SPEAKER_13
transcript.pyannote[1224].start 7879.18784375
transcript.pyannote[1224].end 7880.33534375
transcript.pyannote[1225].speaker SPEAKER_13
transcript.pyannote[1225].start 7880.80784375
transcript.pyannote[1225].end 7882.42784375
transcript.pyannote[1226].speaker SPEAKER_13
transcript.pyannote[1226].start 7884.03096875
transcript.pyannote[1226].end 7885.22909375
transcript.pyannote[1227].speaker SPEAKER_13
transcript.pyannote[1227].start 7885.58346875
transcript.pyannote[1227].end 7887.20346875
transcript.pyannote[1228].speaker SPEAKER_13
transcript.pyannote[1228].start 7887.35534375
transcript.pyannote[1228].end 7890.02159375
transcript.pyannote[1229].speaker SPEAKER_13
transcript.pyannote[1229].start 7890.71346875
transcript.pyannote[1229].end 7894.39221875
transcript.pyannote[1230].speaker SPEAKER_13
transcript.pyannote[1230].start 7895.05034375
transcript.pyannote[1230].end 7899.77534375
transcript.pyannote[1231].speaker SPEAKER_13
transcript.pyannote[1231].start 7900.14659375
transcript.pyannote[1231].end 7901.80034375
transcript.pyannote[1232].speaker SPEAKER_13
transcript.pyannote[1232].start 7901.83409375
transcript.pyannote[1232].end 7903.36971875
transcript.pyannote[1233].speaker SPEAKER_13
transcript.pyannote[1233].start 7903.75784375
transcript.pyannote[1233].end 7905.73221875
transcript.pyannote[1234].speaker SPEAKER_13
transcript.pyannote[1234].start 7905.74909375
transcript.pyannote[1234].end 7907.33534375
transcript.pyannote[1235].speaker SPEAKER_13
transcript.pyannote[1235].start 7907.72346875
transcript.pyannote[1235].end 7909.02284375
transcript.pyannote[1236].speaker SPEAKER_13
transcript.pyannote[1236].start 7909.64721875
transcript.pyannote[1236].end 7910.44034375
transcript.pyannote[1237].speaker SPEAKER_13
transcript.pyannote[1237].start 7910.86221875
transcript.pyannote[1237].end 7914.20346875
transcript.pyannote[1238].speaker SPEAKER_13
transcript.pyannote[1238].start 7914.60846875
transcript.pyannote[1238].end 7915.68846875
transcript.pyannote[1239].speaker SPEAKER_13
transcript.pyannote[1239].start 7916.00909375
transcript.pyannote[1239].end 7918.05096875
transcript.pyannote[1240].speaker SPEAKER_13
transcript.pyannote[1240].start 7918.77659375
transcript.pyannote[1240].end 7922.20221875
transcript.pyannote[1241].speaker SPEAKER_13
transcript.pyannote[1241].start 7922.50596875
transcript.pyannote[1241].end 7926.82596875
transcript.pyannote[1242].speaker SPEAKER_13
transcript.pyannote[1242].start 7927.19721875
transcript.pyannote[1242].end 7929.54284375
transcript.pyannote[1243].speaker SPEAKER_13
transcript.pyannote[1243].start 7930.08284375
transcript.pyannote[1243].end 7931.12909375
transcript.pyannote[1244].speaker SPEAKER_13
transcript.pyannote[1244].start 7931.60159375
transcript.pyannote[1244].end 7932.56346875
transcript.pyannote[1245].speaker SPEAKER_13
transcript.pyannote[1245].start 7933.45784375
transcript.pyannote[1245].end 7936.56284375
transcript.pyannote[1246].speaker SPEAKER_13
transcript.pyannote[1246].start 7936.81596875
transcript.pyannote[1246].end 7938.38534375
transcript.pyannote[1247].speaker SPEAKER_13
transcript.pyannote[1247].start 7938.70596875
transcript.pyannote[1247].end 7939.90409375
transcript.pyannote[1248].speaker SPEAKER_13
transcript.pyannote[1248].start 7940.15721875
transcript.pyannote[1248].end 7941.18659375
transcript.pyannote[1249].speaker SPEAKER_13
transcript.pyannote[1249].start 7941.81096875
transcript.pyannote[1249].end 7943.44784375
transcript.pyannote[1250].speaker SPEAKER_13
transcript.pyannote[1250].start 7943.85284375
transcript.pyannote[1250].end 7944.71346875
transcript.pyannote[1251].speaker SPEAKER_13
transcript.pyannote[1251].start 7944.93284375
transcript.pyannote[1251].end 7947.02534375
transcript.pyannote[1252].speaker SPEAKER_13
transcript.pyannote[1252].start 7947.17721875
transcript.pyannote[1252].end 7950.56909375
transcript.pyannote[1253].speaker SPEAKER_13
transcript.pyannote[1253].start 7951.17659375
transcript.pyannote[1253].end 7952.54346875
transcript.pyannote[1254].speaker SPEAKER_13
transcript.pyannote[1254].start 7953.01596875
transcript.pyannote[1254].end 7953.94409375
transcript.pyannote[1255].speaker SPEAKER_13
transcript.pyannote[1255].start 7954.18034375
transcript.pyannote[1255].end 7957.15034375
transcript.pyannote[1256].speaker SPEAKER_13
transcript.pyannote[1256].start 7957.42034375
transcript.pyannote[1256].end 7958.26409375
transcript.pyannote[1257].speaker SPEAKER_13
transcript.pyannote[1257].start 7958.63534375
transcript.pyannote[1257].end 7959.85034375
transcript.pyannote[1258].speaker SPEAKER_13
transcript.pyannote[1258].start 7960.17096875
transcript.pyannote[1258].end 7963.24221875
transcript.pyannote[1259].speaker SPEAKER_13
transcript.pyannote[1259].start 7963.54596875
transcript.pyannote[1259].end 7966.66784375
transcript.pyannote[1260].speaker SPEAKER_13
transcript.pyannote[1260].start 7967.15721875
transcript.pyannote[1260].end 7969.60409375
transcript.pyannote[1261].speaker SPEAKER_13
transcript.pyannote[1261].start 7970.59971875
transcript.pyannote[1261].end 7972.30409375
transcript.pyannote[1262].speaker SPEAKER_13
transcript.pyannote[1262].start 7972.94534375
transcript.pyannote[1262].end 7974.12659375
transcript.pyannote[1263].speaker SPEAKER_13
transcript.pyannote[1263].start 7974.88596875
transcript.pyannote[1263].end 7976.18534375
transcript.pyannote[1264].speaker SPEAKER_13
transcript.pyannote[1264].start 7976.57346875
transcript.pyannote[1264].end 7977.45096875
transcript.pyannote[1265].speaker SPEAKER_13
transcript.pyannote[1265].start 7978.07534375
transcript.pyannote[1265].end 7982.59784375
transcript.pyannote[1266].speaker SPEAKER_13
transcript.pyannote[1266].start 7983.20534375
transcript.pyannote[1266].end 7985.55096875
transcript.pyannote[1267].speaker SPEAKER_13
transcript.pyannote[1267].start 7985.95596875
transcript.pyannote[1267].end 7989.38159375
transcript.pyannote[1268].speaker SPEAKER_13
transcript.pyannote[1268].start 7989.71909375
transcript.pyannote[1268].end 7991.84534375
transcript.pyannote[1269].speaker SPEAKER_13
transcript.pyannote[1269].start 7992.28409375
transcript.pyannote[1269].end 7993.41471875
transcript.pyannote[1270].speaker SPEAKER_13
transcript.pyannote[1270].start 7994.30909375
transcript.pyannote[1270].end 7995.38909375
transcript.pyannote[1271].speaker SPEAKER_13
transcript.pyannote[1271].start 7996.11471875
transcript.pyannote[1271].end 7999.08471875
transcript.pyannote[1272].speaker SPEAKER_13
transcript.pyannote[1272].start 7999.67534375
transcript.pyannote[1272].end 8002.47659375
transcript.pyannote[1273].speaker SPEAKER_13
transcript.pyannote[1273].start 8003.01659375
transcript.pyannote[1273].end 8005.24409375
transcript.pyannote[1274].speaker SPEAKER_13
transcript.pyannote[1274].start 8005.75034375
transcript.pyannote[1274].end 8007.10034375
transcript.pyannote[1275].speaker SPEAKER_13
transcript.pyannote[1275].start 8007.37034375
transcript.pyannote[1275].end 8008.21409375
transcript.pyannote[1276].speaker SPEAKER_13
transcript.pyannote[1276].start 8008.77096875
transcript.pyannote[1276].end 8009.51346875
transcript.pyannote[1277].speaker SPEAKER_13
transcript.pyannote[1277].start 8009.88471875
transcript.pyannote[1277].end 8010.61034375
transcript.pyannote[1278].speaker SPEAKER_13
transcript.pyannote[1278].start 8011.11659375
transcript.pyannote[1278].end 8011.62284375
transcript.pyannote[1279].speaker SPEAKER_13
transcript.pyannote[1279].start 8012.21346875
transcript.pyannote[1279].end 8014.42409375
transcript.pyannote[1280].speaker SPEAKER_13
transcript.pyannote[1280].start 8014.77846875
transcript.pyannote[1280].end 8016.02721875
transcript.pyannote[1281].speaker SPEAKER_13
transcript.pyannote[1281].start 8016.39846875
transcript.pyannote[1281].end 8019.09846875
transcript.pyannote[1282].speaker SPEAKER_13
transcript.pyannote[1282].start 8019.58784375
transcript.pyannote[1282].end 8023.35096875
transcript.pyannote[1283].speaker SPEAKER_13
transcript.pyannote[1283].start 8023.78971875
transcript.pyannote[1283].end 8027.04659375
transcript.pyannote[1284].speaker SPEAKER_13
transcript.pyannote[1284].start 8027.24909375
transcript.pyannote[1284].end 8028.48096875
transcript.pyannote[1285].speaker SPEAKER_13
transcript.pyannote[1285].start 8029.08846875
transcript.pyannote[1285].end 8029.88159375
transcript.pyannote[1286].speaker SPEAKER_13
transcript.pyannote[1286].start 8030.35409375
transcript.pyannote[1286].end 8032.10909375
transcript.pyannote[1287].speaker SPEAKER_13
transcript.pyannote[1287].start 8032.73346875
transcript.pyannote[1287].end 8034.01596875
transcript.pyannote[1288].speaker SPEAKER_13
transcript.pyannote[1288].start 8034.35346875
transcript.pyannote[1288].end 8036.09159375
transcript.pyannote[1289].speaker SPEAKER_13
transcript.pyannote[1289].start 8036.59784375
transcript.pyannote[1289].end 8037.64409375
transcript.pyannote[1290].speaker SPEAKER_13
transcript.pyannote[1290].start 8037.86346875
transcript.pyannote[1290].end 8039.44971875
transcript.pyannote[1291].speaker SPEAKER_13
transcript.pyannote[1291].start 8039.98971875
transcript.pyannote[1291].end 8041.30596875
transcript.pyannote[1292].speaker SPEAKER_13
transcript.pyannote[1292].start 8041.81221875
transcript.pyannote[1292].end 8045.40659375
transcript.pyannote[1293].speaker SPEAKER_13
transcript.pyannote[1293].start 8045.86221875
transcript.pyannote[1293].end 8046.87471875
transcript.pyannote[1294].speaker SPEAKER_13
transcript.pyannote[1294].start 8047.48221875
transcript.pyannote[1294].end 8049.27096875
transcript.pyannote[1295].speaker SPEAKER_13
transcript.pyannote[1295].start 8049.57471875
transcript.pyannote[1295].end 8055.10971875
transcript.pyannote[1296].speaker SPEAKER_13
transcript.pyannote[1296].start 8055.36284375
transcript.pyannote[1296].end 8061.03284375
transcript.pyannote[1297].speaker SPEAKER_29
transcript.pyannote[1297].start 8061.97784375
transcript.pyannote[1297].end 8069.33534375
transcript.pyannote[1298].speaker SPEAKER_13
transcript.pyannote[1298].start 8068.01909375
transcript.pyannote[1298].end 8068.40721875
transcript.pyannote[1299].speaker SPEAKER_32
transcript.pyannote[1299].start 8068.40721875
transcript.pyannote[1299].end 8068.47471875
transcript.pyannote[1300].speaker SPEAKER_29
transcript.pyannote[1300].start 8069.48721875
transcript.pyannote[1300].end 8073.03096875
transcript.pyannote[1301].speaker SPEAKER_29
transcript.pyannote[1301].start 8073.40221875
transcript.pyannote[1301].end 8078.32971875
transcript.pyannote[1302].speaker SPEAKER_14
transcript.pyannote[1302].start 8076.33846875
transcript.pyannote[1302].end 8078.98784375
transcript.pyannote[1303].speaker SPEAKER_29
transcript.pyannote[1303].start 8078.98784375
transcript.pyannote[1303].end 8079.51096875
transcript.pyannote[1304].speaker SPEAKER_14
transcript.pyannote[1304].start 8079.34221875
transcript.pyannote[1304].end 8081.55284375
transcript.pyannote[1305].speaker SPEAKER_14
transcript.pyannote[1305].start 8081.92409375
transcript.pyannote[1305].end 8083.34159375
transcript.pyannote[1306].speaker SPEAKER_29
transcript.pyannote[1306].start 8083.96596875
transcript.pyannote[1306].end 8092.25159375
transcript.pyannote[1307].speaker SPEAKER_14
transcript.pyannote[1307].start 8087.83034375
transcript.pyannote[1307].end 8087.88096875
transcript.pyannote[1308].speaker SPEAKER_13
transcript.pyannote[1308].start 8087.88096875
transcript.pyannote[1308].end 8094.00659375
transcript.pyannote[1309].speaker SPEAKER_14
transcript.pyannote[1309].start 8092.25159375
transcript.pyannote[1309].end 8092.28534375
transcript.pyannote[1310].speaker SPEAKER_13
transcript.pyannote[1310].start 8094.49596875
transcript.pyannote[1310].end 8096.45346875
transcript.pyannote[1311].speaker SPEAKER_13
transcript.pyannote[1311].start 8096.94284375
transcript.pyannote[1311].end 8098.09034375
transcript.pyannote[1312].speaker SPEAKER_13
transcript.pyannote[1312].start 8098.37721875
transcript.pyannote[1312].end 8100.58784375
transcript.pyannote[1313].speaker SPEAKER_13
transcript.pyannote[1313].start 8101.02659375
transcript.pyannote[1313].end 8102.84909375
transcript.pyannote[1314].speaker SPEAKER_13
transcript.pyannote[1314].start 8103.47346875
transcript.pyannote[1314].end 8105.36346875
transcript.pyannote[1315].speaker SPEAKER_13
transcript.pyannote[1315].start 8105.80221875
transcript.pyannote[1315].end 8107.01721875
transcript.pyannote[1316].speaker SPEAKER_13
transcript.pyannote[1316].start 8107.43909375
transcript.pyannote[1316].end 8107.92846875
transcript.pyannote[1317].speaker SPEAKER_13
transcript.pyannote[1317].start 8108.18159375
transcript.pyannote[1317].end 8111.11784375
transcript.pyannote[1318].speaker SPEAKER_13
transcript.pyannote[1318].start 8111.37096875
transcript.pyannote[1318].end 8115.85971875
transcript.pyannote[1319].speaker SPEAKER_13
transcript.pyannote[1319].start 8116.19721875
transcript.pyannote[1319].end 8118.05346875
transcript.pyannote[1320].speaker SPEAKER_13
transcript.pyannote[1320].start 8118.35721875
transcript.pyannote[1320].end 8120.55096875
transcript.pyannote[1321].speaker SPEAKER_13
transcript.pyannote[1321].start 8121.05721875
transcript.pyannote[1321].end 8122.45784375
transcript.pyannote[1322].speaker SPEAKER_13
transcript.pyannote[1322].start 8123.52096875
transcript.pyannote[1322].end 8124.12846875
transcript.pyannote[1323].speaker SPEAKER_13
transcript.pyannote[1323].start 8124.14534375
transcript.pyannote[1323].end 8125.54596875
transcript.pyannote[1324].speaker SPEAKER_13
transcript.pyannote[1324].start 8126.13659375
transcript.pyannote[1324].end 8127.90846875
transcript.pyannote[1325].speaker SPEAKER_13
transcript.pyannote[1325].start 8129.19096875
transcript.pyannote[1325].end 8130.13596875
transcript.pyannote[1326].speaker SPEAKER_13
transcript.pyannote[1326].start 8130.67596875
transcript.pyannote[1326].end 8132.97096875
transcript.pyannote[1327].speaker SPEAKER_13
transcript.pyannote[1327].start 8133.32534375
transcript.pyannote[1327].end 8136.26159375
transcript.pyannote[1328].speaker SPEAKER_13
transcript.pyannote[1328].start 8136.70034375
transcript.pyannote[1328].end 8138.32034375
transcript.pyannote[1329].speaker SPEAKER_13
transcript.pyannote[1329].start 8138.67471875
transcript.pyannote[1329].end 8139.78846875
transcript.pyannote[1330].speaker SPEAKER_13
transcript.pyannote[1330].start 8140.29471875
transcript.pyannote[1330].end 8142.25221875
transcript.pyannote[1331].speaker SPEAKER_13
transcript.pyannote[1331].start 8142.72471875
transcript.pyannote[1331].end 8144.51346875
transcript.pyannote[1332].speaker SPEAKER_13
transcript.pyannote[1332].start 8144.86784375
transcript.pyannote[1332].end 8146.82534375
transcript.pyannote[1333].speaker SPEAKER_13
transcript.pyannote[1333].start 8147.14596875
transcript.pyannote[1333].end 8149.08659375
transcript.pyannote[1334].speaker SPEAKER_13
transcript.pyannote[1334].start 8149.45784375
transcript.pyannote[1334].end 8154.06471875
transcript.pyannote[1335].speaker SPEAKER_13
transcript.pyannote[1335].start 8154.55409375
transcript.pyannote[1335].end 8155.76909375
transcript.pyannote[1336].speaker SPEAKER_13
transcript.pyannote[1336].start 8156.24159375
transcript.pyannote[1336].end 8156.76471875
transcript.pyannote[1337].speaker SPEAKER_13
transcript.pyannote[1337].start 8157.23721875
transcript.pyannote[1337].end 8157.97971875
transcript.pyannote[1338].speaker SPEAKER_13
transcript.pyannote[1338].start 8158.60409375
transcript.pyannote[1338].end 8160.32534375
transcript.pyannote[1339].speaker SPEAKER_13
transcript.pyannote[1339].start 8160.74721875
transcript.pyannote[1339].end 8162.75534375
transcript.pyannote[1340].speaker SPEAKER_13
transcript.pyannote[1340].start 8163.09284375
transcript.pyannote[1340].end 8167.81784375
transcript.pyannote[1341].speaker SPEAKER_13
transcript.pyannote[1341].start 8167.96971875
transcript.pyannote[1341].end 8170.06221875
transcript.pyannote[1342].speaker SPEAKER_13
transcript.pyannote[1342].start 8170.46721875
transcript.pyannote[1342].end 8172.03659375
transcript.pyannote[1343].speaker SPEAKER_13
transcript.pyannote[1343].start 8172.18846875
transcript.pyannote[1343].end 8174.06159375
transcript.pyannote[1344].speaker SPEAKER_13
transcript.pyannote[1344].start 8174.44971875
transcript.pyannote[1344].end 8176.42409375
transcript.pyannote[1345].speaker SPEAKER_13
transcript.pyannote[1345].start 8177.18346875
transcript.pyannote[1345].end 8184.57471875
transcript.pyannote[1346].speaker SPEAKER_13
transcript.pyannote[1346].start 8184.69284375
transcript.pyannote[1346].end 8190.68346875
transcript.pyannote[1347].speaker SPEAKER_13
transcript.pyannote[1347].start 8191.02096875
transcript.pyannote[1347].end 8191.84784375
transcript.pyannote[1348].speaker SPEAKER_13
transcript.pyannote[1348].start 8192.20221875
transcript.pyannote[1348].end 8197.83846875
transcript.pyannote[1349].speaker SPEAKER_08
transcript.pyannote[1349].start 8197.16346875
transcript.pyannote[1349].end 8201.66909375
transcript.pyannote[1350].speaker SPEAKER_13
transcript.pyannote[1350].start 8201.48346875
transcript.pyannote[1350].end 8201.63534375
transcript.pyannote[1351].speaker SPEAKER_13
transcript.pyannote[1351].start 8201.66909375
transcript.pyannote[1351].end 8201.82096875
transcript.pyannote[1352].speaker SPEAKER_08
transcript.pyannote[1352].start 8202.24284375
transcript.pyannote[1352].end 8204.41971875
transcript.pyannote[1353].speaker SPEAKER_08
transcript.pyannote[1353].start 8204.67284375
transcript.pyannote[1353].end 8205.09471875
transcript.pyannote[1354].speaker SPEAKER_08
transcript.pyannote[1354].start 8205.49971875
transcript.pyannote[1354].end 8207.57534375
transcript.pyannote[1355].speaker SPEAKER_08
transcript.pyannote[1355].start 8207.77784375
transcript.pyannote[1355].end 8210.37659375
transcript.pyannote[1356].speaker SPEAKER_36
transcript.pyannote[1356].start 8209.76909375
transcript.pyannote[1356].end 8210.03909375
transcript.pyannote[1357].speaker SPEAKER_08
transcript.pyannote[1357].start 8210.56221875
transcript.pyannote[1357].end 8211.38909375
transcript.pyannote[1358].speaker SPEAKER_08
transcript.pyannote[1358].start 8211.81096875
transcript.pyannote[1358].end 8217.80159375
transcript.pyannote[1359].speaker SPEAKER_13
transcript.pyannote[1359].start 8216.24909375
transcript.pyannote[1359].end 8216.41784375
transcript.pyannote[1360].speaker SPEAKER_13
transcript.pyannote[1360].start 8217.80159375
transcript.pyannote[1360].end 8217.93659375
transcript.pyannote[1361].speaker SPEAKER_08
transcript.pyannote[1361].start 8217.93659375
transcript.pyannote[1361].end 8217.98721875
transcript.pyannote[1362].speaker SPEAKER_13
transcript.pyannote[1362].start 8217.98721875
transcript.pyannote[1362].end 8218.13909375
transcript.pyannote[1363].speaker SPEAKER_08
transcript.pyannote[1363].start 8218.13909375
transcript.pyannote[1363].end 8219.16846875
transcript.pyannote[1364].speaker SPEAKER_13
transcript.pyannote[1364].start 8218.30784375
transcript.pyannote[1364].end 8222.03721875
transcript.pyannote[1365].speaker SPEAKER_08
transcript.pyannote[1365].start 8219.92784375
transcript.pyannote[1365].end 8224.04534375
transcript.pyannote[1366].speaker SPEAKER_07
transcript.pyannote[1366].start 8222.03721875
transcript.pyannote[1366].end 8222.08784375
transcript.pyannote[1367].speaker SPEAKER_07
transcript.pyannote[1367].start 8223.79221875
transcript.pyannote[1367].end 8224.18034375
transcript.pyannote[1368].speaker SPEAKER_13
transcript.pyannote[1368].start 8224.18034375
transcript.pyannote[1368].end 8224.31534375
transcript.pyannote[1369].speaker SPEAKER_07
transcript.pyannote[1369].start 8224.31534375
transcript.pyannote[1369].end 8224.34909375
transcript.pyannote[1370].speaker SPEAKER_13
transcript.pyannote[1370].start 8224.34909375
transcript.pyannote[1370].end 8224.39971875
transcript.pyannote[1371].speaker SPEAKER_07
transcript.pyannote[1371].start 8224.39971875
transcript.pyannote[1371].end 8224.46721875
transcript.pyannote[1372].speaker SPEAKER_08
transcript.pyannote[1372].start 8224.46721875
transcript.pyannote[1372].end 8224.75409375
transcript.pyannote[1373].speaker SPEAKER_07
transcript.pyannote[1373].start 8224.48409375
transcript.pyannote[1373].end 8226.76221875
transcript.pyannote[1374].speaker SPEAKER_08
transcript.pyannote[1374].start 8225.15909375
transcript.pyannote[1374].end 8227.03221875
transcript.pyannote[1375].speaker SPEAKER_07
transcript.pyannote[1375].start 8227.03221875
transcript.pyannote[1375].end 8238.35534375
transcript.pyannote[1376].speaker SPEAKER_14
transcript.pyannote[1376].start 8234.47409375
transcript.pyannote[1376].end 8234.92971875
transcript.pyannote[1377].speaker SPEAKER_03
transcript.pyannote[1377].start 8234.92971875
transcript.pyannote[1377].end 8234.94659375
transcript.pyannote[1378].speaker SPEAKER_07
transcript.pyannote[1378].start 8238.55784375
transcript.pyannote[1378].end 8241.29159375
transcript.pyannote[1379].speaker SPEAKER_13
transcript.pyannote[1379].start 8238.72659375
transcript.pyannote[1379].end 8239.30034375
transcript.pyannote[1380].speaker SPEAKER_13
transcript.pyannote[1380].start 8239.77284375
transcript.pyannote[1380].end 8241.74721875
transcript.pyannote[1381].speaker SPEAKER_13
transcript.pyannote[1381].start 8242.16909375
transcript.pyannote[1381].end 8243.80596875
transcript.pyannote[1382].speaker SPEAKER_07
transcript.pyannote[1382].start 8244.02534375
transcript.pyannote[1382].end 8257.44096875
transcript.pyannote[1383].speaker SPEAKER_13
transcript.pyannote[1383].start 8244.34596875
transcript.pyannote[1383].end 8246.65784375
transcript.pyannote[1384].speaker SPEAKER_13
transcript.pyannote[1384].start 8247.34971875
transcript.pyannote[1384].end 8247.80534375
transcript.pyannote[1385].speaker SPEAKER_13
transcript.pyannote[1385].start 8251.66971875
transcript.pyannote[1385].end 8251.97346875
transcript.pyannote[1386].speaker SPEAKER_13
transcript.pyannote[1386].start 8267.46471875
transcript.pyannote[1386].end 8270.36721875
transcript.pyannote[1387].speaker SPEAKER_16
transcript.pyannote[1387].start 8268.34221875
transcript.pyannote[1387].end 8268.39284375
transcript.pyannote[1388].speaker SPEAKER_13
transcript.pyannote[1388].start 8270.46846875
transcript.pyannote[1388].end 8272.86471875
transcript.pyannote[1389].speaker SPEAKER_39
transcript.pyannote[1389].start 8279.00721875
transcript.pyannote[1389].end 8282.77034375
transcript.pyannote[1390].speaker SPEAKER_39
transcript.pyannote[1390].start 8285.74034375
transcript.pyannote[1390].end 8292.87846875
transcript.pyannote[1391].speaker SPEAKER_39
transcript.pyannote[1391].start 8293.26659375
transcript.pyannote[1391].end 8294.51534375
transcript.pyannote[1392].speaker SPEAKER_39
transcript.pyannote[1392].start 8295.17346875
transcript.pyannote[1392].end 8296.38846875
transcript.pyannote[1393].speaker SPEAKER_39
transcript.pyannote[1393].start 8296.67534375
transcript.pyannote[1393].end 8303.49284375
transcript.pyannote[1394].speaker SPEAKER_39
transcript.pyannote[1394].start 8305.99034375
transcript.pyannote[1394].end 8311.39034375
transcript.pyannote[1395].speaker SPEAKER_39
transcript.pyannote[1395].start 8311.79534375
transcript.pyannote[1395].end 8312.04846875
transcript.pyannote[1396].speaker SPEAKER_39
transcript.pyannote[1396].start 8313.12846875
transcript.pyannote[1396].end 8313.68534375
transcript.pyannote[1397].speaker SPEAKER_05
transcript.pyannote[1397].start 8313.68534375
transcript.pyannote[1397].end 8313.70221875
transcript.pyannote[1398].speaker SPEAKER_05
transcript.pyannote[1398].start 8320.19909375
transcript.pyannote[1398].end 8323.75971875
transcript.pyannote[1399].speaker SPEAKER_05
transcript.pyannote[1399].start 8324.72159375
transcript.pyannote[1399].end 8325.88596875
transcript.pyannote[1400].speaker SPEAKER_39
transcript.pyannote[1400].start 8325.88596875
transcript.pyannote[1400].end 8325.90284375
transcript.pyannote[1401].speaker SPEAKER_05
transcript.pyannote[1401].start 8335.23471875
transcript.pyannote[1401].end 8339.50409375
transcript.pyannote[1402].speaker SPEAKER_08
transcript.pyannote[1402].start 8335.53846875
transcript.pyannote[1402].end 8336.23034375
transcript.pyannote[1403].speaker SPEAKER_08
transcript.pyannote[1403].start 8338.18784375
transcript.pyannote[1403].end 8338.54221875
transcript.pyannote[1404].speaker SPEAKER_05
transcript.pyannote[1404].start 8339.68971875
transcript.pyannote[1404].end 8339.70659375
transcript.pyannote[1405].speaker SPEAKER_08
transcript.pyannote[1405].start 8339.70659375
transcript.pyannote[1405].end 8340.04409375
transcript.pyannote[1406].speaker SPEAKER_05
transcript.pyannote[1406].start 8340.97221875
transcript.pyannote[1406].end 8344.58346875
transcript.pyannote[1407].speaker SPEAKER_05
transcript.pyannote[1407].start 8345.35971875
transcript.pyannote[1407].end 8347.16534375
transcript.pyannote[1408].speaker SPEAKER_05
transcript.pyannote[1408].start 8347.80659375
transcript.pyannote[1408].end 8349.91596875
transcript.pyannote[1409].speaker SPEAKER_05
transcript.pyannote[1409].start 8350.05096875
transcript.pyannote[1409].end 8352.83534375
transcript.pyannote[1410].speaker SPEAKER_05
transcript.pyannote[1410].start 8353.51034375
transcript.pyannote[1410].end 8357.91471875
transcript.pyannote[1411].speaker SPEAKER_05
transcript.pyannote[1411].start 8358.26909375
transcript.pyannote[1411].end 8359.99034375
transcript.pyannote[1412].speaker SPEAKER_05
transcript.pyannote[1412].start 8360.42909375
transcript.pyannote[1412].end 8363.31471875
transcript.pyannote[1413].speaker SPEAKER_05
transcript.pyannote[1413].start 8363.93909375
transcript.pyannote[1413].end 8368.15784375
transcript.pyannote[1414].speaker SPEAKER_05
transcript.pyannote[1414].start 8369.20409375
transcript.pyannote[1414].end 8370.94221875
transcript.pyannote[1415].speaker SPEAKER_05
transcript.pyannote[1415].start 8371.17846875
transcript.pyannote[1415].end 8372.68034375
transcript.pyannote[1416].speaker SPEAKER_05
transcript.pyannote[1416].start 8373.82784375
transcript.pyannote[1416].end 8375.32971875
transcript.pyannote[1417].speaker SPEAKER_05
transcript.pyannote[1417].start 8376.76409375
transcript.pyannote[1417].end 8378.62034375
transcript.pyannote[1418].speaker SPEAKER_05
transcript.pyannote[1418].start 8378.92409375
transcript.pyannote[1418].end 8380.29096875
transcript.pyannote[1419].speaker SPEAKER_05
transcript.pyannote[1419].start 8381.18534375
transcript.pyannote[1419].end 8383.98659375
transcript.pyannote[1420].speaker SPEAKER_05
transcript.pyannote[1420].start 8384.67846875
transcript.pyannote[1420].end 8385.62346875
transcript.pyannote[1421].speaker SPEAKER_05
transcript.pyannote[1421].start 8386.09596875
transcript.pyannote[1421].end 8386.26471875
transcript.pyannote[1422].speaker SPEAKER_33
transcript.pyannote[1422].start 8386.26471875
transcript.pyannote[1422].end 8386.28159375
transcript.pyannote[1423].speaker SPEAKER_05
transcript.pyannote[1423].start 8386.28159375
transcript.pyannote[1423].end 8387.34471875
transcript.pyannote[1424].speaker SPEAKER_05
transcript.pyannote[1424].start 8387.71596875
transcript.pyannote[1424].end 8391.54659375
transcript.pyannote[1425].speaker SPEAKER_05
transcript.pyannote[1425].start 8391.64784375
transcript.pyannote[1425].end 8392.54221875
transcript.pyannote[1426].speaker SPEAKER_05
transcript.pyannote[1426].start 8393.16659375
transcript.pyannote[1426].end 8398.80284375
transcript.pyannote[1427].speaker SPEAKER_05
transcript.pyannote[1427].start 8399.96721875
transcript.pyannote[1427].end 8400.74346875
transcript.pyannote[1428].speaker SPEAKER_05
transcript.pyannote[1428].start 8401.19909375
transcript.pyannote[1428].end 8402.81909375
transcript.pyannote[1429].speaker SPEAKER_05
transcript.pyannote[1429].start 8403.32534375
transcript.pyannote[1429].end 8404.35471875
transcript.pyannote[1430].speaker SPEAKER_05
transcript.pyannote[1430].start 8405.53596875
transcript.pyannote[1430].end 8408.35409375
transcript.pyannote[1431].speaker SPEAKER_05
transcript.pyannote[1431].start 8408.67471875
transcript.pyannote[1431].end 8409.63659375
transcript.pyannote[1432].speaker SPEAKER_05
transcript.pyannote[1432].start 8410.12596875
transcript.pyannote[1432].end 8412.50534375
transcript.pyannote[1433].speaker SPEAKER_05
transcript.pyannote[1433].start 8412.97784375
transcript.pyannote[1433].end 8415.72846875
transcript.pyannote[1434].speaker SPEAKER_05
transcript.pyannote[1434].start 8416.09971875
transcript.pyannote[1434].end 8417.07846875
transcript.pyannote[1435].speaker SPEAKER_05
transcript.pyannote[1435].start 8417.12909375
transcript.pyannote[1435].end 8417.90534375
transcript.pyannote[1436].speaker SPEAKER_05
transcript.pyannote[1436].start 8417.95596875
transcript.pyannote[1436].end 8420.33534375
transcript.pyannote[1437].speaker SPEAKER_05
transcript.pyannote[1437].start 8420.74034375
transcript.pyannote[1437].end 8421.02721875
transcript.pyannote[1438].speaker SPEAKER_05
transcript.pyannote[1438].start 8421.49971875
transcript.pyannote[1438].end 8425.31346875
transcript.pyannote[1439].speaker SPEAKER_05
transcript.pyannote[1439].start 8425.80284375
transcript.pyannote[1439].end 8426.25846875
transcript.pyannote[1440].speaker SPEAKER_05
transcript.pyannote[1440].start 8427.18659375
transcript.pyannote[1440].end 8428.70534375
transcript.pyannote[1441].speaker SPEAKER_05
transcript.pyannote[1441].start 8429.29596875
transcript.pyannote[1441].end 8430.98346875
transcript.pyannote[1442].speaker SPEAKER_05
transcript.pyannote[1442].start 8431.21971875
transcript.pyannote[1442].end 8434.44284375
transcript.pyannote[1443].speaker SPEAKER_05
transcript.pyannote[1443].start 8435.06721875
transcript.pyannote[1443].end 8440.28159375
transcript.pyannote[1444].speaker SPEAKER_05
transcript.pyannote[1444].start 8441.20971875
transcript.pyannote[1444].end 8446.96409375
transcript.pyannote[1445].speaker SPEAKER_05
transcript.pyannote[1445].start 8447.63909375
transcript.pyannote[1445].end 8450.72721875
transcript.pyannote[1446].speaker SPEAKER_05
transcript.pyannote[1446].start 8450.94659375
transcript.pyannote[1446].end 8453.78159375
transcript.pyannote[1447].speaker SPEAKER_05
transcript.pyannote[1447].start 8454.69284375
transcript.pyannote[1447].end 8460.70034375
transcript.pyannote[1448].speaker SPEAKER_05
transcript.pyannote[1448].start 8462.11784375
transcript.pyannote[1448].end 8465.99909375
transcript.pyannote[1449].speaker SPEAKER_05
transcript.pyannote[1449].start 8466.21846875
transcript.pyannote[1449].end 8467.82159375
transcript.pyannote[1450].speaker SPEAKER_05
transcript.pyannote[1450].start 8468.41221875
transcript.pyannote[1450].end 8470.50471875
transcript.pyannote[1451].speaker SPEAKER_05
transcript.pyannote[1451].start 8470.80846875
transcript.pyannote[1451].end 8472.04034375
transcript.pyannote[1452].speaker SPEAKER_05
transcript.pyannote[1452].start 8472.71534375
transcript.pyannote[1452].end 8475.97221875
transcript.pyannote[1453].speaker SPEAKER_05
transcript.pyannote[1453].start 8476.42784375
transcript.pyannote[1453].end 8487.37971875
transcript.pyannote[1454].speaker SPEAKER_05
transcript.pyannote[1454].start 8487.64971875
transcript.pyannote[1454].end 8489.80971875
transcript.pyannote[1455].speaker SPEAKER_05
transcript.pyannote[1455].start 8489.87721875
transcript.pyannote[1455].end 8491.41284375
transcript.pyannote[1456].speaker SPEAKER_05
transcript.pyannote[1456].start 8494.26471875
transcript.pyannote[1456].end 8495.49659375
transcript.pyannote[1457].speaker SPEAKER_05
transcript.pyannote[1457].start 8496.23909375
transcript.pyannote[1457].end 8497.94346875
transcript.pyannote[1458].speaker SPEAKER_05
transcript.pyannote[1458].start 8498.88846875
transcript.pyannote[1458].end 8500.64346875
transcript.pyannote[1459].speaker SPEAKER_05
transcript.pyannote[1459].start 8501.87534375
transcript.pyannote[1459].end 8505.48659375
transcript.pyannote[1460].speaker SPEAKER_05
transcript.pyannote[1460].start 8505.80721875
transcript.pyannote[1460].end 8507.34284375
transcript.pyannote[1461].speaker SPEAKER_05
transcript.pyannote[1461].start 8507.84909375
transcript.pyannote[1461].end 8508.94596875
transcript.pyannote[1462].speaker SPEAKER_05
transcript.pyannote[1462].start 8509.72221875
transcript.pyannote[1462].end 8509.94159375
transcript.pyannote[1463].speaker SPEAKER_05
transcript.pyannote[1463].start 8510.43096875
transcript.pyannote[1463].end 8512.16909375
transcript.pyannote[1464].speaker SPEAKER_08
transcript.pyannote[1464].start 8513.19846875
transcript.pyannote[1464].end 8515.18971875
transcript.pyannote[1465].speaker SPEAKER_08
transcript.pyannote[1465].start 8515.54409375
transcript.pyannote[1465].end 8517.46784375
transcript.pyannote[1466].speaker SPEAKER_08
transcript.pyannote[1466].start 8517.90659375
transcript.pyannote[1466].end 8519.81346875
transcript.pyannote[1467].speaker SPEAKER_08
transcript.pyannote[1467].start 8520.26909375
transcript.pyannote[1467].end 8522.24346875
transcript.pyannote[1468].speaker SPEAKER_08
transcript.pyannote[1468].start 8522.47971875
transcript.pyannote[1468].end 8523.66096875
transcript.pyannote[1469].speaker SPEAKER_08
transcript.pyannote[1469].start 8524.11659375
transcript.pyannote[1469].end 8525.04471875
transcript.pyannote[1470].speaker SPEAKER_08
transcript.pyannote[1470].start 8525.44971875
transcript.pyannote[1470].end 8527.47471875
transcript.pyannote[1471].speaker SPEAKER_08
transcript.pyannote[1471].start 8527.89659375
transcript.pyannote[1471].end 8528.90909375
transcript.pyannote[1472].speaker SPEAKER_08
transcript.pyannote[1472].start 8529.19596875
transcript.pyannote[1472].end 8532.19971875
transcript.pyannote[1473].speaker SPEAKER_08
transcript.pyannote[1473].start 8532.65534375
transcript.pyannote[1473].end 8539.48971875
transcript.pyannote[1474].speaker SPEAKER_05
transcript.pyannote[1474].start 8538.93284375
transcript.pyannote[1474].end 8542.40909375
transcript.pyannote[1475].speaker SPEAKER_05
transcript.pyannote[1475].start 8542.84784375
transcript.pyannote[1475].end 8544.80534375
transcript.pyannote[1476].speaker SPEAKER_05
transcript.pyannote[1476].start 8545.24409375
transcript.pyannote[1476].end 8547.57284375
transcript.pyannote[1477].speaker SPEAKER_05
transcript.pyannote[1477].start 8547.99471875
transcript.pyannote[1477].end 8549.07471875
transcript.pyannote[1478].speaker SPEAKER_05
transcript.pyannote[1478].start 8549.27721875
transcript.pyannote[1478].end 8550.39096875
transcript.pyannote[1479].speaker SPEAKER_05
transcript.pyannote[1479].start 8551.20096875
transcript.pyannote[1479].end 8553.59721875
transcript.pyannote[1480].speaker SPEAKER_05
transcript.pyannote[1480].start 8554.20471875
transcript.pyannote[1480].end 8555.82471875
transcript.pyannote[1481].speaker SPEAKER_05
transcript.pyannote[1481].start 8556.17909375
transcript.pyannote[1481].end 8557.32659375
transcript.pyannote[1482].speaker SPEAKER_05
transcript.pyannote[1482].start 8558.15346875
transcript.pyannote[1482].end 8559.18284375
transcript.pyannote[1483].speaker SPEAKER_05
transcript.pyannote[1483].start 8559.68909375
transcript.pyannote[1483].end 8564.05971875
transcript.pyannote[1484].speaker SPEAKER_05
transcript.pyannote[1484].start 8564.38034375
transcript.pyannote[1484].end 8565.39284375
transcript.pyannote[1485].speaker SPEAKER_05
transcript.pyannote[1485].start 8565.93284375
transcript.pyannote[1485].end 8567.75534375
transcript.pyannote[1486].speaker SPEAKER_00
transcript.pyannote[1486].start 8566.70909375
transcript.pyannote[1486].end 8566.74284375
transcript.pyannote[1487].speaker SPEAKER_00
transcript.pyannote[1487].start 8566.92846875
transcript.pyannote[1487].end 8566.99596875
transcript.pyannote[1488].speaker SPEAKER_08
transcript.pyannote[1488].start 8567.04659375
transcript.pyannote[1488].end 8567.28284375
transcript.pyannote[1489].speaker SPEAKER_05
transcript.pyannote[1489].start 8567.92409375
transcript.pyannote[1489].end 8576.07471875
transcript.pyannote[1490].speaker SPEAKER_31
transcript.pyannote[1490].start 8575.04534375
transcript.pyannote[1490].end 8575.66971875
transcript.pyannote[1491].speaker SPEAKER_08
transcript.pyannote[1491].start 8575.66971875
transcript.pyannote[1491].end 8575.70346875
transcript.pyannote[1492].speaker SPEAKER_31
transcript.pyannote[1492].start 8576.07471875
transcript.pyannote[1492].end 8582.43659375
transcript.pyannote[1493].speaker SPEAKER_31
transcript.pyannote[1493].start 8582.99346875
transcript.pyannote[1493].end 8588.35971875
transcript.pyannote[1494].speaker SPEAKER_31
transcript.pyannote[1494].start 8588.51159375
transcript.pyannote[1494].end 8591.71784375
transcript.pyannote[1495].speaker SPEAKER_05
transcript.pyannote[1495].start 8588.54534375
transcript.pyannote[1495].end 8594.45159375
transcript.pyannote[1496].speaker SPEAKER_31
transcript.pyannote[1496].start 8592.54471875
transcript.pyannote[1496].end 8599.96971875
transcript.pyannote[1497].speaker SPEAKER_05
transcript.pyannote[1497].start 8598.33284375
transcript.pyannote[1497].end 8609.38596875
transcript.pyannote[1498].speaker SPEAKER_31
transcript.pyannote[1498].start 8603.19284375
transcript.pyannote[1498].end 8620.28721875
transcript.pyannote[1499].speaker SPEAKER_05
transcript.pyannote[1499].start 8619.30846875
transcript.pyannote[1499].end 8622.14346875
transcript.pyannote[1500].speaker SPEAKER_05
transcript.pyannote[1500].start 8622.19409375
transcript.pyannote[1500].end 8624.79284375
transcript.pyannote[1501].speaker SPEAKER_05
transcript.pyannote[1501].start 8625.51846875
transcript.pyannote[1501].end 8631.20534375
transcript.pyannote[1502].speaker SPEAKER_05
transcript.pyannote[1502].start 8631.77909375
transcript.pyannote[1502].end 8634.58034375
transcript.pyannote[1503].speaker SPEAKER_00
transcript.pyannote[1503].start 8633.61846875
transcript.pyannote[1503].end 8633.63534375
transcript.pyannote[1504].speaker SPEAKER_05
transcript.pyannote[1504].start 8634.64784375
transcript.pyannote[1504].end 8636.08221875
transcript.pyannote[1505].speaker SPEAKER_05
transcript.pyannote[1505].start 8636.52096875
transcript.pyannote[1505].end 8639.06909375
transcript.pyannote[1506].speaker SPEAKER_05
transcript.pyannote[1506].start 8639.79471875
transcript.pyannote[1506].end 8640.31784375
transcript.pyannote[1507].speaker SPEAKER_05
transcript.pyannote[1507].start 8640.48659375
transcript.pyannote[1507].end 8642.44409375
transcript.pyannote[1508].speaker SPEAKER_05
transcript.pyannote[1508].start 8643.00096875
transcript.pyannote[1508].end 8647.23659375
transcript.pyannote[1509].speaker SPEAKER_05
transcript.pyannote[1509].start 8647.54034375
transcript.pyannote[1509].end 8649.12659375
transcript.pyannote[1510].speaker SPEAKER_05
transcript.pyannote[1510].start 8649.64971875
transcript.pyannote[1510].end 8651.06721875
transcript.pyannote[1511].speaker SPEAKER_05
transcript.pyannote[1511].start 8651.59034375
transcript.pyannote[1511].end 8654.47596875
transcript.pyannote[1512].speaker SPEAKER_05
transcript.pyannote[1512].start 8654.66159375
transcript.pyannote[1512].end 8657.76659375
transcript.pyannote[1513].speaker SPEAKER_05
transcript.pyannote[1513].start 8658.15471875
transcript.pyannote[1513].end 8663.20034375
transcript.pyannote[1514].speaker SPEAKER_00
transcript.pyannote[1514].start 8659.09971875
transcript.pyannote[1514].end 8659.72409375
transcript.pyannote[1515].speaker SPEAKER_05
transcript.pyannote[1515].start 8663.87534375
transcript.pyannote[1515].end 8664.87096875
transcript.pyannote[1516].speaker SPEAKER_05
transcript.pyannote[1516].start 8665.63034375
transcript.pyannote[1516].end 8667.99284375
transcript.pyannote[1517].speaker SPEAKER_05
transcript.pyannote[1517].start 8668.61721875
transcript.pyannote[1517].end 8670.38909375
transcript.pyannote[1518].speaker SPEAKER_05
transcript.pyannote[1518].start 8670.89534375
transcript.pyannote[1518].end 8671.99221875
transcript.pyannote[1519].speaker SPEAKER_05
transcript.pyannote[1519].start 8672.26221875
transcript.pyannote[1519].end 8673.98346875
transcript.pyannote[1520].speaker SPEAKER_05
transcript.pyannote[1520].start 8674.28721875
transcript.pyannote[1520].end 8677.91534375
transcript.pyannote[1521].speaker SPEAKER_05
transcript.pyannote[1521].start 8678.15159375
transcript.pyannote[1521].end 8678.65784375
transcript.pyannote[1522].speaker SPEAKER_33
transcript.pyannote[1522].start 8678.91096875
transcript.pyannote[1522].end 8679.04596875
transcript.pyannote[1523].speaker SPEAKER_05
transcript.pyannote[1523].start 8679.04596875
transcript.pyannote[1523].end 8679.06284375
transcript.pyannote[1524].speaker SPEAKER_05
transcript.pyannote[1524].start 8679.13034375
transcript.pyannote[1524].end 8681.83034375
transcript.pyannote[1525].speaker SPEAKER_05
transcript.pyannote[1525].start 8682.11721875
transcript.pyannote[1525].end 8683.88909375
transcript.pyannote[1526].speaker SPEAKER_05
transcript.pyannote[1526].start 8684.24346875
transcript.pyannote[1526].end 8688.24284375
transcript.pyannote[1527].speaker SPEAKER_05
transcript.pyannote[1527].start 8688.59721875
transcript.pyannote[1527].end 8690.23409375
transcript.pyannote[1528].speaker SPEAKER_05
transcript.pyannote[1528].start 8691.73596875
transcript.pyannote[1528].end 8695.02659375
transcript.pyannote[1529].speaker SPEAKER_05
transcript.pyannote[1529].start 8696.05596875
transcript.pyannote[1529].end 8698.50284375
transcript.pyannote[1530].speaker SPEAKER_05
transcript.pyannote[1530].start 8698.62096875
transcript.pyannote[1530].end 8699.07659375
transcript.pyannote[1531].speaker SPEAKER_05
transcript.pyannote[1531].start 8699.29596875
transcript.pyannote[1531].end 8700.94971875
transcript.pyannote[1532].speaker SPEAKER_08
transcript.pyannote[1532].start 8701.52346875
transcript.pyannote[1532].end 8706.90659375
transcript.pyannote[1533].speaker SPEAKER_08
transcript.pyannote[1533].start 8707.56471875
transcript.pyannote[1533].end 8709.94409375
transcript.pyannote[1534].speaker SPEAKER_05
transcript.pyannote[1534].start 8709.97784375
transcript.pyannote[1534].end 8715.42846875
transcript.pyannote[1535].speaker SPEAKER_05
transcript.pyannote[1535].start 8715.74909375
transcript.pyannote[1535].end 8716.40721875
transcript.pyannote[1536].speaker SPEAKER_05
transcript.pyannote[1536].start 8716.64346875
transcript.pyannote[1536].end 8718.97221875
transcript.pyannote[1537].speaker SPEAKER_08
transcript.pyannote[1537].start 8717.52096875
transcript.pyannote[1537].end 8717.95971875
transcript.pyannote[1538].speaker SPEAKER_08
transcript.pyannote[1538].start 8718.97221875
transcript.pyannote[1538].end 8719.63034375
transcript.pyannote[1539].speaker SPEAKER_08
transcript.pyannote[1539].start 8720.17034375
transcript.pyannote[1539].end 8726.17784375
transcript.pyannote[1540].speaker SPEAKER_05
transcript.pyannote[1540].start 8722.48221875
transcript.pyannote[1540].end 8724.82784375
transcript.pyannote[1541].speaker SPEAKER_05
transcript.pyannote[1541].start 8726.93721875
transcript.pyannote[1541].end 8730.34596875
transcript.pyannote[1542].speaker SPEAKER_05
transcript.pyannote[1542].start 8730.70034375
transcript.pyannote[1542].end 8733.31596875
transcript.pyannote[1543].speaker SPEAKER_05
transcript.pyannote[1543].start 8733.38346875
transcript.pyannote[1543].end 8735.47596875
transcript.pyannote[1544].speaker SPEAKER_05
transcript.pyannote[1544].start 8735.86409375
transcript.pyannote[1544].end 8736.82596875
transcript.pyannote[1545].speaker SPEAKER_05
transcript.pyannote[1545].start 8737.07909375
transcript.pyannote[1545].end 8737.39971875
transcript.pyannote[1546].speaker SPEAKER_05
transcript.pyannote[1546].start 8738.07471875
transcript.pyannote[1546].end 8739.59346875
transcript.pyannote[1547].speaker SPEAKER_08
transcript.pyannote[1547].start 8739.59346875
transcript.pyannote[1547].end 8739.62721875
transcript.pyannote[1548].speaker SPEAKER_05
transcript.pyannote[1548].start 8739.62721875
transcript.pyannote[1548].end 8739.93096875
transcript.pyannote[1549].speaker SPEAKER_08
transcript.pyannote[1549].start 8739.93096875
transcript.pyannote[1549].end 8740.28534375
transcript.pyannote[1550].speaker SPEAKER_08
transcript.pyannote[1550].start 8740.40346875
transcript.pyannote[1550].end 8747.72721875
transcript.pyannote[1551].speaker SPEAKER_05
transcript.pyannote[1551].start 8746.91721875
transcript.pyannote[1551].end 8749.90409375
transcript.pyannote[1552].speaker SPEAKER_05
transcript.pyannote[1552].start 8750.51159375
transcript.pyannote[1552].end 8752.92471875
transcript.pyannote[1553].speaker SPEAKER_05
transcript.pyannote[1553].start 8753.97096875
transcript.pyannote[1553].end 8756.19846875
transcript.pyannote[1554].speaker SPEAKER_05
transcript.pyannote[1554].start 8756.75534375
transcript.pyannote[1554].end 8758.96596875
transcript.pyannote[1555].speaker SPEAKER_05
transcript.pyannote[1555].start 8759.35409375
transcript.pyannote[1555].end 8760.90659375
transcript.pyannote[1556].speaker SPEAKER_05
transcript.pyannote[1556].start 8761.10909375
transcript.pyannote[1556].end 8763.13409375
transcript.pyannote[1557].speaker SPEAKER_05
transcript.pyannote[1557].start 8763.47159375
transcript.pyannote[1557].end 8764.38284375
transcript.pyannote[1558].speaker SPEAKER_05
transcript.pyannote[1558].start 8764.83846875
transcript.pyannote[1558].end 8766.37409375
transcript.pyannote[1559].speaker SPEAKER_05
transcript.pyannote[1559].start 8767.70721875
transcript.pyannote[1559].end 8769.07409375
transcript.pyannote[1560].speaker SPEAKER_05
transcript.pyannote[1560].start 8770.13721875
transcript.pyannote[1560].end 8773.47846875
transcript.pyannote[1561].speaker SPEAKER_05
transcript.pyannote[1561].start 8773.74846875
transcript.pyannote[1561].end 8776.12784375
transcript.pyannote[1562].speaker SPEAKER_05
transcript.pyannote[1562].start 8777.22471875
transcript.pyannote[1562].end 8778.86159375
transcript.pyannote[1563].speaker SPEAKER_05
transcript.pyannote[1563].start 8779.94159375
transcript.pyannote[1563].end 8780.73471875
transcript.pyannote[1564].speaker SPEAKER_05
transcript.pyannote[1564].start 8781.34221875
transcript.pyannote[1564].end 8782.01721875
transcript.pyannote[1565].speaker SPEAKER_05
transcript.pyannote[1565].start 8782.27034375
transcript.pyannote[1565].end 8784.02534375
transcript.pyannote[1566].speaker SPEAKER_05
transcript.pyannote[1566].start 8784.54846875
transcript.pyannote[1566].end 8786.48909375
transcript.pyannote[1567].speaker SPEAKER_05
transcript.pyannote[1567].start 8786.99534375
transcript.pyannote[1567].end 8789.74596875
transcript.pyannote[1568].speaker SPEAKER_05
transcript.pyannote[1568].start 8790.16784375
transcript.pyannote[1568].end 8790.43784375
transcript.pyannote[1569].speaker SPEAKER_05
transcript.pyannote[1569].start 8792.15909375
transcript.pyannote[1569].end 8792.56409375
transcript.pyannote[1570].speaker SPEAKER_05
transcript.pyannote[1570].start 8792.98596875
transcript.pyannote[1570].end 8793.88034375
transcript.pyannote[1571].speaker SPEAKER_05
transcript.pyannote[1571].start 8794.31909375
transcript.pyannote[1571].end 8795.48346875
transcript.pyannote[1572].speaker SPEAKER_05
transcript.pyannote[1572].start 8796.14159375
transcript.pyannote[1572].end 8797.00221875
transcript.pyannote[1573].speaker SPEAKER_05
transcript.pyannote[1573].start 8797.35659375
transcript.pyannote[1573].end 8799.90471875
transcript.pyannote[1574].speaker SPEAKER_05
transcript.pyannote[1574].start 8800.61346875
transcript.pyannote[1574].end 8800.90034375
transcript.pyannote[1575].speaker SPEAKER_05
transcript.pyannote[1575].start 8801.38971875
transcript.pyannote[1575].end 8805.45659375
transcript.pyannote[1576].speaker SPEAKER_05
transcript.pyannote[1576].start 8806.68846875
transcript.pyannote[1576].end 8808.15659375
transcript.pyannote[1577].speaker SPEAKER_05
transcript.pyannote[1577].start 8808.52784375
transcript.pyannote[1577].end 8812.98284375
transcript.pyannote[1578].speaker SPEAKER_05
transcript.pyannote[1578].start 8813.06721875
transcript.pyannote[1578].end 8816.64471875
transcript.pyannote[1579].speaker SPEAKER_05
transcript.pyannote[1579].start 8816.91471875
transcript.pyannote[1579].end 8818.06221875
transcript.pyannote[1580].speaker SPEAKER_05
transcript.pyannote[1580].start 8819.02409375
transcript.pyannote[1580].end 8821.74096875
transcript.pyannote[1581].speaker SPEAKER_05
transcript.pyannote[1581].start 8822.23034375
transcript.pyannote[1581].end 8825.13284375
transcript.pyannote[1582].speaker SPEAKER_05
transcript.pyannote[1582].start 8826.80346875
transcript.pyannote[1582].end 8829.09846875
transcript.pyannote[1583].speaker SPEAKER_05
transcript.pyannote[1583].start 8830.39784375
transcript.pyannote[1583].end 8835.52784375
transcript.pyannote[1584].speaker SPEAKER_05
transcript.pyannote[1584].start 8835.62909375
transcript.pyannote[1584].end 8837.65409375
transcript.pyannote[1585].speaker SPEAKER_05
transcript.pyannote[1585].start 8838.14346875
transcript.pyannote[1585].end 8840.26971875
transcript.pyannote[1586].speaker SPEAKER_05
transcript.pyannote[1586].start 8840.84346875
transcript.pyannote[1586].end 8844.26909375
transcript.pyannote[1587].speaker SPEAKER_05
transcript.pyannote[1587].start 8844.99471875
transcript.pyannote[1587].end 8846.47971875
transcript.pyannote[1588].speaker SPEAKER_05
transcript.pyannote[1588].start 8846.88471875
transcript.pyannote[1588].end 8848.80846875
transcript.pyannote[1589].speaker SPEAKER_05
transcript.pyannote[1589].start 8848.97721875
transcript.pyannote[1589].end 8851.44096875
transcript.pyannote[1590].speaker SPEAKER_05
transcript.pyannote[1590].start 8851.82909375
transcript.pyannote[1590].end 8854.19159375
transcript.pyannote[1591].speaker SPEAKER_05
transcript.pyannote[1591].start 8855.49096875
transcript.pyannote[1591].end 8856.21659375
transcript.pyannote[1592].speaker SPEAKER_05
transcript.pyannote[1592].start 8856.62159375
transcript.pyannote[1592].end 8859.84471875
transcript.pyannote[1593].speaker SPEAKER_05
transcript.pyannote[1593].start 8860.53659375
transcript.pyannote[1593].end 8861.46471875
transcript.pyannote[1594].speaker SPEAKER_05
transcript.pyannote[1594].start 8862.46034375
transcript.pyannote[1594].end 8863.82721875
transcript.pyannote[1595].speaker SPEAKER_05
transcript.pyannote[1595].start 8864.26596875
transcript.pyannote[1595].end 8866.42596875
transcript.pyannote[1596].speaker SPEAKER_05
transcript.pyannote[1596].start 8866.93221875
transcript.pyannote[1596].end 8869.02471875
transcript.pyannote[1597].speaker SPEAKER_05
transcript.pyannote[1597].start 8869.54784375
transcript.pyannote[1597].end 8871.11721875
transcript.pyannote[1598].speaker SPEAKER_05
transcript.pyannote[1598].start 8872.26471875
transcript.pyannote[1598].end 8873.02409375
transcript.pyannote[1599].speaker SPEAKER_05
transcript.pyannote[1599].start 8873.22659375
transcript.pyannote[1599].end 8875.58909375
transcript.pyannote[1600].speaker SPEAKER_05
transcript.pyannote[1600].start 8875.96034375
transcript.pyannote[1600].end 8876.34846875
transcript.pyannote[1601].speaker SPEAKER_05
transcript.pyannote[1601].start 8876.88846875
transcript.pyannote[1601].end 8880.56721875
transcript.pyannote[1602].speaker SPEAKER_05
transcript.pyannote[1602].start 8881.15784375
transcript.pyannote[1602].end 8881.93409375
transcript.pyannote[1603].speaker SPEAKER_05
transcript.pyannote[1603].start 8882.57534375
transcript.pyannote[1603].end 8883.67221875
transcript.pyannote[1604].speaker SPEAKER_05
transcript.pyannote[1604].start 8884.49909375
transcript.pyannote[1604].end 8885.52846875
transcript.pyannote[1605].speaker SPEAKER_05
transcript.pyannote[1605].start 8886.06846875
transcript.pyannote[1605].end 8888.56596875
transcript.pyannote[1606].speaker SPEAKER_05
transcript.pyannote[1606].start 8889.37596875
transcript.pyannote[1606].end 8893.32471875
transcript.pyannote[1607].speaker SPEAKER_05
transcript.pyannote[1607].start 8893.78034375
transcript.pyannote[1607].end 8897.07096875
transcript.pyannote[1608].speaker SPEAKER_05
transcript.pyannote[1608].start 8897.74596875
transcript.pyannote[1608].end 8898.43784375
transcript.pyannote[1609].speaker SPEAKER_05
transcript.pyannote[1609].start 8899.39971875
transcript.pyannote[1609].end 8900.17596875
transcript.pyannote[1610].speaker SPEAKER_05
transcript.pyannote[1610].start 8900.58096875
transcript.pyannote[1610].end 8903.58471875
transcript.pyannote[1611].speaker SPEAKER_05
transcript.pyannote[1611].start 8904.36096875
transcript.pyannote[1611].end 8908.24221875
transcript.pyannote[1612].speaker SPEAKER_05
transcript.pyannote[1612].start 8908.86659375
transcript.pyannote[1612].end 8909.37284375
transcript.pyannote[1613].speaker SPEAKER_05
transcript.pyannote[1613].start 8910.06471875
transcript.pyannote[1613].end 8911.33034375
transcript.pyannote[1614].speaker SPEAKER_05
transcript.pyannote[1614].start 8911.63409375
transcript.pyannote[1614].end 8916.54471875
transcript.pyannote[1615].speaker SPEAKER_05
transcript.pyannote[1615].start 8917.32096875
transcript.pyannote[1615].end 8918.83971875
transcript.pyannote[1616].speaker SPEAKER_05
transcript.pyannote[1616].start 8919.80159375
transcript.pyannote[1616].end 8920.03784375
transcript.pyannote[1617].speaker SPEAKER_05
transcript.pyannote[1617].start 8920.40909375
transcript.pyannote[1617].end 8922.01221875
transcript.pyannote[1618].speaker SPEAKER_05
transcript.pyannote[1618].start 8922.77159375
transcript.pyannote[1618].end 8923.96971875
transcript.pyannote[1619].speaker SPEAKER_05
transcript.pyannote[1619].start 8924.56034375
transcript.pyannote[1619].end 8926.65284375
transcript.pyannote[1620].speaker SPEAKER_05
transcript.pyannote[1620].start 8927.61471875
transcript.pyannote[1620].end 8929.60596875
transcript.pyannote[1621].speaker SPEAKER_05
transcript.pyannote[1621].start 8929.89284375
transcript.pyannote[1621].end 8930.48346875
transcript.pyannote[1622].speaker SPEAKER_05
transcript.pyannote[1622].start 8930.87159375
transcript.pyannote[1622].end 8933.75721875
transcript.pyannote[1623].speaker SPEAKER_05
transcript.pyannote[1623].start 8934.46596875
transcript.pyannote[1623].end 8935.37721875
transcript.pyannote[1624].speaker SPEAKER_05
transcript.pyannote[1624].start 8936.05221875
transcript.pyannote[1624].end 8939.12346875
transcript.pyannote[1625].speaker SPEAKER_05
transcript.pyannote[1625].start 8940.00096875
transcript.pyannote[1625].end 8943.03846875
transcript.pyannote[1626].speaker SPEAKER_05
transcript.pyannote[1626].start 8943.66284375
transcript.pyannote[1626].end 8946.04221875
transcript.pyannote[1627].speaker SPEAKER_05
transcript.pyannote[1627].start 8946.75096875
transcript.pyannote[1627].end 8952.31971875
transcript.pyannote[1628].speaker SPEAKER_05
transcript.pyannote[1628].start 8953.12971875
transcript.pyannote[1628].end 8954.42909375
transcript.pyannote[1629].speaker SPEAKER_05
transcript.pyannote[1629].start 8955.18846875
transcript.pyannote[1629].end 8957.51721875
transcript.pyannote[1630].speaker SPEAKER_05
transcript.pyannote[1630].start 8958.05721875
transcript.pyannote[1630].end 8960.33534375
transcript.pyannote[1631].speaker SPEAKER_05
transcript.pyannote[1631].start 8961.36471875
transcript.pyannote[1631].end 8963.28846875
transcript.pyannote[1632].speaker SPEAKER_05
transcript.pyannote[1632].start 8964.01409375
transcript.pyannote[1632].end 8965.02659375
transcript.pyannote[1633].speaker SPEAKER_05
transcript.pyannote[1633].start 8965.58346875
transcript.pyannote[1633].end 8966.08971875
transcript.pyannote[1634].speaker SPEAKER_05
transcript.pyannote[1634].start 8966.61284375
transcript.pyannote[1634].end 8967.18659375
transcript.pyannote[1635].speaker SPEAKER_05
transcript.pyannote[1635].start 8968.35096875
transcript.pyannote[1635].end 8970.08909375
transcript.pyannote[1636].speaker SPEAKER_05
transcript.pyannote[1636].start 8970.39284375
transcript.pyannote[1636].end 8973.34596875
transcript.pyannote[1637].speaker SPEAKER_05
transcript.pyannote[1637].start 8973.68346875
transcript.pyannote[1637].end 8975.21909375
transcript.pyannote[1638].speaker SPEAKER_05
transcript.pyannote[1638].start 8975.65784375
transcript.pyannote[1638].end 8977.59846875
transcript.pyannote[1639].speaker SPEAKER_05
transcript.pyannote[1639].start 8977.86846875
transcript.pyannote[1639].end 8979.60659375
transcript.pyannote[1640].speaker SPEAKER_05
transcript.pyannote[1640].start 8981.63159375
transcript.pyannote[1640].end 8982.37409375
transcript.pyannote[1641].speaker SPEAKER_05
transcript.pyannote[1641].start 8982.99846875
transcript.pyannote[1641].end 8983.84221875
transcript.pyannote[1642].speaker SPEAKER_05
transcript.pyannote[1642].start 8984.43284375
transcript.pyannote[1642].end 8986.55909375
transcript.pyannote[1643].speaker SPEAKER_05
transcript.pyannote[1643].start 8986.82909375
transcript.pyannote[1643].end 8990.32221875
transcript.pyannote[1644].speaker SPEAKER_05
transcript.pyannote[1644].start 8990.86221875
transcript.pyannote[1644].end 8991.55409375
transcript.pyannote[1645].speaker SPEAKER_05
transcript.pyannote[1645].start 8991.79034375
transcript.pyannote[1645].end 8992.93784375
transcript.pyannote[1646].speaker SPEAKER_05
transcript.pyannote[1646].start 8994.54096875
transcript.pyannote[1646].end 8996.00909375
transcript.pyannote[1647].speaker SPEAKER_05
transcript.pyannote[1647].start 8996.90346875
transcript.pyannote[1647].end 9000.59909375
transcript.pyannote[1648].speaker SPEAKER_05
transcript.pyannote[1648].start 9001.34159375
transcript.pyannote[1648].end 9002.13471875
transcript.pyannote[1649].speaker SPEAKER_05
transcript.pyannote[1649].start 9002.20221875
transcript.pyannote[1649].end 9002.69159375
transcript.pyannote[1650].speaker SPEAKER_05
transcript.pyannote[1650].start 9003.70409375
transcript.pyannote[1650].end 9004.78409375
transcript.pyannote[1651].speaker SPEAKER_05
transcript.pyannote[1651].start 9006.10034375
transcript.pyannote[1651].end 9007.51784375
transcript.pyannote[1652].speaker SPEAKER_05
transcript.pyannote[1652].start 9008.10846875
transcript.pyannote[1652].end 9009.47534375
transcript.pyannote[1653].speaker SPEAKER_05
transcript.pyannote[1653].start 9010.20096875
transcript.pyannote[1653].end 9013.74471875
transcript.pyannote[1654].speaker SPEAKER_05
transcript.pyannote[1654].start 9014.63909375
transcript.pyannote[1654].end 9015.19596875
transcript.pyannote[1655].speaker SPEAKER_05
transcript.pyannote[1655].start 9015.56721875
transcript.pyannote[1655].end 9016.49534375
transcript.pyannote[1656].speaker SPEAKER_05
transcript.pyannote[1656].start 9016.84971875
transcript.pyannote[1656].end 9017.54159375
transcript.pyannote[1657].speaker SPEAKER_05
transcript.pyannote[1657].start 9017.99721875
transcript.pyannote[1657].end 9020.76471875
transcript.pyannote[1658].speaker SPEAKER_05
transcript.pyannote[1658].start 9021.28784375
transcript.pyannote[1658].end 9022.28346875
transcript.pyannote[1659].speaker SPEAKER_05
transcript.pyannote[1659].start 9022.84034375
transcript.pyannote[1659].end 9023.41409375
transcript.pyannote[1660].speaker SPEAKER_05
transcript.pyannote[1660].start 9024.00471875
transcript.pyannote[1660].end 9026.35034375
transcript.pyannote[1661].speaker SPEAKER_05
transcript.pyannote[1661].start 9026.38409375
transcript.pyannote[1661].end 9027.05909375
transcript.pyannote[1662].speaker SPEAKER_05
transcript.pyannote[1662].start 9027.76784375
transcript.pyannote[1662].end 9030.53534375
transcript.pyannote[1663].speaker SPEAKER_05
transcript.pyannote[1663].start 9031.32846875
transcript.pyannote[1663].end 9031.66596875
transcript.pyannote[1664].speaker SPEAKER_05
transcript.pyannote[1664].start 9032.56034375
transcript.pyannote[1664].end 9033.40409375
transcript.pyannote[1665].speaker SPEAKER_08
transcript.pyannote[1665].start 9033.40409375
transcript.pyannote[1665].end 9033.57284375
transcript.pyannote[1666].speaker SPEAKER_05
transcript.pyannote[1666].start 9033.57284375
transcript.pyannote[1666].end 9033.65721875
transcript.pyannote[1667].speaker SPEAKER_08
transcript.pyannote[1667].start 9033.65721875
transcript.pyannote[1667].end 9033.77534375
transcript.pyannote[1668].speaker SPEAKER_20
transcript.pyannote[1668].start 9033.77534375
transcript.pyannote[1668].end 9042.46596875
transcript.pyannote[1669].speaker SPEAKER_20
transcript.pyannote[1669].start 9042.88784375
transcript.pyannote[1669].end 9046.31346875
transcript.pyannote[1670].speaker SPEAKER_20
transcript.pyannote[1670].start 9046.60034375
transcript.pyannote[1670].end 9070.81596875
transcript.pyannote[1671].speaker SPEAKER_20
transcript.pyannote[1671].start 9070.83284375
transcript.pyannote[1671].end 9070.91721875
transcript.pyannote[1672].speaker SPEAKER_20
transcript.pyannote[1672].start 9070.96784375
transcript.pyannote[1672].end 9073.88721875
transcript.pyannote[1673].speaker SPEAKER_20
transcript.pyannote[1673].start 9074.05596875
transcript.pyannote[1673].end 9078.22409375
transcript.pyannote[1674].speaker SPEAKER_20
transcript.pyannote[1674].start 9078.42659375
transcript.pyannote[1674].end 9083.33721875
transcript.pyannote[1675].speaker SPEAKER_20
transcript.pyannote[1675].start 9083.64096875
transcript.pyannote[1675].end 9085.76721875
transcript.pyannote[1676].speaker SPEAKER_20
transcript.pyannote[1676].start 9085.96971875
transcript.pyannote[1676].end 9087.62346875
transcript.pyannote[1677].speaker SPEAKER_20
transcript.pyannote[1677].start 9087.77534375
transcript.pyannote[1677].end 9090.94784375
transcript.pyannote[1678].speaker SPEAKER_20
transcript.pyannote[1678].start 9091.23471875
transcript.pyannote[1678].end 9107.29971875
transcript.pyannote[1679].speaker SPEAKER_20
transcript.pyannote[1679].start 9107.31659375
transcript.pyannote[1679].end 9112.05846875
transcript.pyannote[1680].speaker SPEAKER_20
transcript.pyannote[1680].start 9112.10909375
transcript.pyannote[1680].end 9120.12471875
transcript.pyannote[1681].speaker SPEAKER_05
transcript.pyannote[1681].start 9117.05346875
transcript.pyannote[1681].end 9117.57659375
transcript.pyannote[1682].speaker SPEAKER_05
transcript.pyannote[1682].start 9118.50471875
transcript.pyannote[1682].end 9120.20909375
transcript.pyannote[1683].speaker SPEAKER_05
transcript.pyannote[1683].start 9120.42846875
transcript.pyannote[1683].end 9122.13284375
transcript.pyannote[1684].speaker SPEAKER_05
transcript.pyannote[1684].start 9122.89221875
transcript.pyannote[1684].end 9123.90471875
transcript.pyannote[1685].speaker SPEAKER_05
transcript.pyannote[1685].start 9125.18721875
transcript.pyannote[1685].end 9127.48221875
transcript.pyannote[1686].speaker SPEAKER_05
transcript.pyannote[1686].start 9128.96721875
transcript.pyannote[1686].end 9131.21159375
transcript.pyannote[1687].speaker SPEAKER_05
transcript.pyannote[1687].start 9132.44346875
transcript.pyannote[1687].end 9134.41784375
transcript.pyannote[1688].speaker SPEAKER_05
transcript.pyannote[1688].start 9134.63721875
transcript.pyannote[1688].end 9138.41721875
transcript.pyannote[1689].speaker SPEAKER_05
transcript.pyannote[1689].start 9139.07534375
transcript.pyannote[1689].end 9140.57721875
transcript.pyannote[1690].speaker SPEAKER_05
transcript.pyannote[1690].start 9140.79659375
transcript.pyannote[1690].end 9141.20159375
transcript.pyannote[1691].speaker SPEAKER_05
transcript.pyannote[1691].start 9141.50534375
transcript.pyannote[1691].end 9142.61909375
transcript.pyannote[1692].speaker SPEAKER_05
transcript.pyannote[1692].start 9143.32784375
transcript.pyannote[1692].end 9144.79596875
transcript.pyannote[1693].speaker SPEAKER_05
transcript.pyannote[1693].start 9145.50471875
transcript.pyannote[1693].end 9146.88846875
transcript.pyannote[1694].speaker SPEAKER_05
transcript.pyannote[1694].start 9147.32721875
transcript.pyannote[1694].end 9150.11159375
transcript.pyannote[1695].speaker SPEAKER_05
transcript.pyannote[1695].start 9150.55034375
transcript.pyannote[1695].end 9151.32659375
transcript.pyannote[1696].speaker SPEAKER_05
transcript.pyannote[1696].start 9152.06909375
transcript.pyannote[1696].end 9153.18284375
transcript.pyannote[1697].speaker SPEAKER_05
transcript.pyannote[1697].start 9153.82409375
transcript.pyannote[1697].end 9155.20784375
transcript.pyannote[1698].speaker SPEAKER_05
transcript.pyannote[1698].start 9156.08534375
transcript.pyannote[1698].end 9156.70971875
transcript.pyannote[1699].speaker SPEAKER_05
transcript.pyannote[1699].start 9157.63784375
transcript.pyannote[1699].end 9158.59971875
transcript.pyannote[1700].speaker SPEAKER_05
transcript.pyannote[1700].start 9159.25784375
transcript.pyannote[1700].end 9160.60784375
transcript.pyannote[1701].speaker SPEAKER_05
transcript.pyannote[1701].start 9161.40096875
transcript.pyannote[1701].end 9163.17284375
transcript.pyannote[1702].speaker SPEAKER_05
transcript.pyannote[1702].start 9164.86034375
transcript.pyannote[1702].end 9169.01159375
transcript.pyannote[1703].speaker SPEAKER_20
transcript.pyannote[1703].start 9169.01159375
transcript.pyannote[1703].end 9173.26409375
transcript.pyannote[1704].speaker SPEAKER_20
transcript.pyannote[1704].start 9174.19221875
transcript.pyannote[1704].end 9182.54534375
transcript.pyannote[1705].speaker SPEAKER_20
transcript.pyannote[1705].start 9182.62971875
transcript.pyannote[1705].end 9191.92784375
transcript.pyannote[1706].speaker SPEAKER_05
transcript.pyannote[1706].start 9192.88971875
transcript.pyannote[1706].end 9193.53096875
transcript.pyannote[1707].speaker SPEAKER_05
transcript.pyannote[1707].start 9194.05409375
transcript.pyannote[1707].end 9194.47596875
transcript.pyannote[1708].speaker SPEAKER_05
transcript.pyannote[1708].start 9195.11721875
transcript.pyannote[1708].end 9196.38284375
transcript.pyannote[1709].speaker SPEAKER_05
transcript.pyannote[1709].start 9197.09159375
transcript.pyannote[1709].end 9198.76221875
transcript.pyannote[1710].speaker SPEAKER_05
transcript.pyannote[1710].start 9199.75784375
transcript.pyannote[1710].end 9204.97221875
transcript.pyannote[1711].speaker SPEAKER_05
transcript.pyannote[1711].start 9205.49534375
transcript.pyannote[1711].end 9207.41909375
transcript.pyannote[1712].speaker SPEAKER_05
transcript.pyannote[1712].start 9207.94221875
transcript.pyannote[1712].end 9209.64659375
transcript.pyannote[1713].speaker SPEAKER_05
transcript.pyannote[1713].start 9210.16971875
transcript.pyannote[1713].end 9211.75596875
transcript.pyannote[1714].speaker SPEAKER_05
transcript.pyannote[1714].start 9212.29596875
transcript.pyannote[1714].end 9215.06346875
transcript.pyannote[1715].speaker SPEAKER_05
transcript.pyannote[1715].start 9216.29534375
transcript.pyannote[1715].end 9218.10096875
transcript.pyannote[1716].speaker SPEAKER_05
transcript.pyannote[1716].start 9219.92346875
transcript.pyannote[1716].end 9221.54346875
transcript.pyannote[1717].speaker SPEAKER_05
transcript.pyannote[1717].start 9222.48846875
transcript.pyannote[1717].end 9222.80909375
transcript.pyannote[1718].speaker SPEAKER_05
transcript.pyannote[1718].start 9224.76659375
transcript.pyannote[1718].end 9225.67784375
transcript.pyannote[1719].speaker SPEAKER_05
transcript.pyannote[1719].start 9226.01534375
transcript.pyannote[1719].end 9226.60596875
transcript.pyannote[1720].speaker SPEAKER_05
transcript.pyannote[1720].start 9227.51721875
transcript.pyannote[1720].end 9227.88846875
transcript.pyannote[1721].speaker SPEAKER_05
transcript.pyannote[1721].start 9228.58034375
transcript.pyannote[1721].end 9232.39409375
transcript.pyannote[1722].speaker SPEAKER_05
transcript.pyannote[1722].start 9232.76534375
transcript.pyannote[1722].end 9233.52471875
transcript.pyannote[1723].speaker SPEAKER_05
transcript.pyannote[1723].start 9233.92971875
transcript.pyannote[1723].end 9235.29659375
transcript.pyannote[1724].speaker SPEAKER_05
transcript.pyannote[1724].start 9235.88721875
transcript.pyannote[1724].end 9237.52409375
transcript.pyannote[1725].speaker SPEAKER_05
transcript.pyannote[1725].start 9238.60409375
transcript.pyannote[1725].end 9240.42659375
transcript.pyannote[1726].speaker SPEAKER_05
transcript.pyannote[1726].start 9240.94971875
transcript.pyannote[1726].end 9241.79346875
transcript.pyannote[1727].speaker SPEAKER_05
transcript.pyannote[1727].start 9242.60346875
transcript.pyannote[1727].end 9243.44721875
transcript.pyannote[1728].speaker SPEAKER_05
transcript.pyannote[1728].start 9244.07159375
transcript.pyannote[1728].end 9245.67471875
transcript.pyannote[1729].speaker SPEAKER_05
transcript.pyannote[1729].start 9247.09221875
transcript.pyannote[1729].end 9250.78784375
transcript.pyannote[1730].speaker SPEAKER_05
transcript.pyannote[1730].start 9250.97346875
transcript.pyannote[1730].end 9253.58909375
transcript.pyannote[1731].speaker SPEAKER_05
transcript.pyannote[1731].start 9254.83784375
transcript.pyannote[1731].end 9255.58034375
transcript.pyannote[1732].speaker SPEAKER_05
transcript.pyannote[1732].start 9256.54221875
transcript.pyannote[1732].end 9259.24221875
transcript.pyannote[1733].speaker SPEAKER_05
transcript.pyannote[1733].start 9259.69784375
transcript.pyannote[1733].end 9262.71846875
transcript.pyannote[1734].speaker SPEAKER_05
transcript.pyannote[1734].start 9263.95034375
transcript.pyannote[1734].end 9266.09346875
transcript.pyannote[1735].speaker SPEAKER_05
transcript.pyannote[1735].start 9266.68409375
transcript.pyannote[1735].end 9270.88596875
transcript.pyannote[1736].speaker SPEAKER_05
transcript.pyannote[1736].start 9271.40909375
transcript.pyannote[1736].end 9271.84784375
transcript.pyannote[1737].speaker SPEAKER_05
transcript.pyannote[1737].start 9272.43846875
transcript.pyannote[1737].end 9273.72096875
transcript.pyannote[1738].speaker SPEAKER_05
transcript.pyannote[1738].start 9274.10909375
transcript.pyannote[1738].end 9275.61096875
transcript.pyannote[1739].speaker SPEAKER_05
transcript.pyannote[1739].start 9276.30284375
transcript.pyannote[1739].end 9278.17596875
transcript.pyannote[1740].speaker SPEAKER_05
transcript.pyannote[1740].start 9278.76659375
transcript.pyannote[1740].end 9281.85471875
transcript.pyannote[1741].speaker SPEAKER_05
transcript.pyannote[1741].start 9282.76596875
transcript.pyannote[1741].end 9284.23409375
transcript.pyannote[1742].speaker SPEAKER_05
transcript.pyannote[1742].start 9284.80784375
transcript.pyannote[1742].end 9285.04409375
transcript.pyannote[1743].speaker SPEAKER_05
transcript.pyannote[1743].start 9285.34784375
transcript.pyannote[1743].end 9288.18284375
transcript.pyannote[1744].speaker SPEAKER_05
transcript.pyannote[1744].start 9288.31784375
transcript.pyannote[1744].end 9289.00971875
transcript.pyannote[1745].speaker SPEAKER_05
transcript.pyannote[1745].start 9289.51596875
transcript.pyannote[1745].end 9290.81534375
transcript.pyannote[1746].speaker SPEAKER_05
transcript.pyannote[1746].start 9291.38909375
transcript.pyannote[1746].end 9292.80659375
transcript.pyannote[1747].speaker SPEAKER_05
transcript.pyannote[1747].start 9293.59971875
transcript.pyannote[1747].end 9295.91159375
transcript.pyannote[1748].speaker SPEAKER_05
transcript.pyannote[1748].start 9297.43034375
transcript.pyannote[1748].end 9298.27409375
transcript.pyannote[1749].speaker SPEAKER_05
transcript.pyannote[1749].start 9299.77596875
transcript.pyannote[1749].end 9300.21471875
transcript.pyannote[1750].speaker SPEAKER_05
transcript.pyannote[1750].start 9301.37909375
transcript.pyannote[1750].end 9306.84659375
transcript.pyannote[1751].speaker SPEAKER_05
transcript.pyannote[1751].start 9307.69034375
transcript.pyannote[1751].end 9308.70284375
transcript.pyannote[1752].speaker SPEAKER_05
transcript.pyannote[1752].start 9309.81659375
transcript.pyannote[1752].end 9312.92159375
transcript.pyannote[1753].speaker SPEAKER_05
transcript.pyannote[1753].start 9313.63034375
transcript.pyannote[1753].end 9314.72721875
transcript.pyannote[1754].speaker SPEAKER_05
transcript.pyannote[1754].start 9315.50346875
transcript.pyannote[1754].end 9316.92096875
transcript.pyannote[1755].speaker SPEAKER_05
transcript.pyannote[1755].start 9317.51159375
transcript.pyannote[1755].end 9319.51971875
transcript.pyannote[1756].speaker SPEAKER_05
transcript.pyannote[1756].start 9319.99221875
transcript.pyannote[1756].end 9321.79784375
transcript.pyannote[1757].speaker SPEAKER_05
transcript.pyannote[1757].start 9322.30409375
transcript.pyannote[1757].end 9324.31221875
transcript.pyannote[1758].speaker SPEAKER_05
transcript.pyannote[1758].start 9325.44284375
transcript.pyannote[1758].end 9326.06721875
transcript.pyannote[1759].speaker SPEAKER_05
transcript.pyannote[1759].start 9327.33284375
transcript.pyannote[1759].end 9328.54784375
transcript.pyannote[1760].speaker SPEAKER_05
transcript.pyannote[1760].start 9328.96971875
transcript.pyannote[1760].end 9330.64034375
transcript.pyannote[1761].speaker SPEAKER_05
transcript.pyannote[1761].start 9331.29846875
transcript.pyannote[1761].end 9332.78346875
transcript.pyannote[1762].speaker SPEAKER_05
transcript.pyannote[1762].start 9333.50909375
transcript.pyannote[1762].end 9334.36971875
transcript.pyannote[1763].speaker SPEAKER_05
transcript.pyannote[1763].start 9335.17971875
transcript.pyannote[1763].end 9335.73659375
transcript.pyannote[1764].speaker SPEAKER_05
transcript.pyannote[1764].start 9336.41159375
transcript.pyannote[1764].end 9337.72784375
transcript.pyannote[1765].speaker SPEAKER_05
transcript.pyannote[1765].start 9338.06534375
transcript.pyannote[1765].end 9338.92596875
transcript.pyannote[1766].speaker SPEAKER_05
transcript.pyannote[1766].start 9339.49971875
transcript.pyannote[1766].end 9342.31784375
transcript.pyannote[1767].speaker SPEAKER_05
transcript.pyannote[1767].start 9343.29659375
transcript.pyannote[1767].end 9345.18659375
transcript.pyannote[1768].speaker SPEAKER_05
transcript.pyannote[1768].start 9345.86159375
transcript.pyannote[1768].end 9346.26659375
transcript.pyannote[1769].speaker SPEAKER_05
transcript.pyannote[1769].start 9347.04284375
transcript.pyannote[1769].end 9351.48096875
transcript.pyannote[1770].speaker SPEAKER_05
transcript.pyannote[1770].start 9352.37534375
transcript.pyannote[1770].end 9352.84784375
transcript.pyannote[1771].speaker SPEAKER_05
transcript.pyannote[1771].start 9353.43846875
transcript.pyannote[1771].end 9354.78846875
transcript.pyannote[1772].speaker SPEAKER_05
transcript.pyannote[1772].start 9355.15971875
transcript.pyannote[1772].end 9357.25221875
transcript.pyannote[1773].speaker SPEAKER_05
transcript.pyannote[1773].start 9358.43346875
transcript.pyannote[1773].end 9363.25971875
transcript.pyannote[1774].speaker SPEAKER_05
transcript.pyannote[1774].start 9364.66034375
transcript.pyannote[1774].end 9367.03971875
transcript.pyannote[1775].speaker SPEAKER_05
transcript.pyannote[1775].start 9368.28846875
transcript.pyannote[1775].end 9371.83221875
transcript.pyannote[1776].speaker SPEAKER_05
transcript.pyannote[1776].start 9372.35534375
transcript.pyannote[1776].end 9373.31721875
transcript.pyannote[1777].speaker SPEAKER_05
transcript.pyannote[1777].start 9374.17784375
transcript.pyannote[1777].end 9375.27471875
transcript.pyannote[1778].speaker SPEAKER_05
transcript.pyannote[1778].start 9375.91596875
transcript.pyannote[1778].end 9377.11409375
transcript.pyannote[1779].speaker SPEAKER_05
transcript.pyannote[1779].start 9377.67096875
transcript.pyannote[1779].end 9378.59909375
transcript.pyannote[1780].speaker SPEAKER_05
transcript.pyannote[1780].start 9379.44284375
transcript.pyannote[1780].end 9380.89409375
transcript.pyannote[1781].speaker SPEAKER_05
transcript.pyannote[1781].start 9381.51846875
transcript.pyannote[1781].end 9382.21034375
transcript.pyannote[1782].speaker SPEAKER_05
transcript.pyannote[1782].start 9382.83471875
transcript.pyannote[1782].end 9384.97784375
transcript.pyannote[1783].speaker SPEAKER_05
transcript.pyannote[1783].start 9385.36596875
transcript.pyannote[1783].end 9386.47971875
transcript.pyannote[1784].speaker SPEAKER_05
transcript.pyannote[1784].start 9387.34034375
transcript.pyannote[1784].end 9388.94346875
transcript.pyannote[1785].speaker SPEAKER_05
transcript.pyannote[1785].start 9389.61846875
transcript.pyannote[1785].end 9396.14909375
transcript.pyannote[1786].speaker SPEAKER_08
transcript.pyannote[1786].start 9396.14909375
transcript.pyannote[1786].end 9396.55409375
transcript.pyannote[1787].speaker SPEAKER_05
transcript.pyannote[1787].start 9396.55409375
transcript.pyannote[1787].end 9396.58784375
transcript.pyannote[1788].speaker SPEAKER_05
transcript.pyannote[1788].start 9396.63846875
transcript.pyannote[1788].end 9399.08534375
transcript.pyannote[1789].speaker SPEAKER_05
transcript.pyannote[1789].start 9399.49034375
transcript.pyannote[1789].end 9401.02596875
transcript.pyannote[1790].speaker SPEAKER_05
transcript.pyannote[1790].start 9401.38034375
transcript.pyannote[1790].end 9403.89471875
transcript.pyannote[1791].speaker SPEAKER_05
transcript.pyannote[1791].start 9406.13909375
transcript.pyannote[1791].end 9406.84784375
transcript.pyannote[1792].speaker SPEAKER_05
transcript.pyannote[1792].start 9407.21909375
transcript.pyannote[1792].end 9407.62409375
transcript.pyannote[1793].speaker SPEAKER_05
transcript.pyannote[1793].start 9408.33284375
transcript.pyannote[1793].end 9412.53471875
transcript.pyannote[1794].speaker SPEAKER_05
transcript.pyannote[1794].start 9413.96909375
transcript.pyannote[1794].end 9414.45846875
transcript.pyannote[1795].speaker SPEAKER_05
transcript.pyannote[1795].start 9414.57659375
transcript.pyannote[1795].end 9414.99846875
transcript.pyannote[1796].speaker SPEAKER_08
transcript.pyannote[1796].start 9414.99846875
transcript.pyannote[1796].end 9415.01534375
transcript.pyannote[1797].speaker SPEAKER_08
transcript.pyannote[1797].start 9415.57221875
transcript.pyannote[1797].end 9418.47471875
transcript.pyannote[1798].speaker SPEAKER_08
transcript.pyannote[1798].start 9419.16659375
transcript.pyannote[1798].end 9428.00909375
transcript.pyannote[1799].speaker SPEAKER_05
transcript.pyannote[1799].start 9428.00909375
transcript.pyannote[1799].end 9431.18159375
transcript.pyannote[1800].speaker SPEAKER_08
transcript.pyannote[1800].start 9428.05971875
transcript.pyannote[1800].end 9428.09346875
transcript.pyannote[1801].speaker SPEAKER_05
transcript.pyannote[1801].start 9431.65409375
transcript.pyannote[1801].end 9436.24409375
transcript.pyannote[1802].speaker SPEAKER_05
transcript.pyannote[1802].start 9437.52659375
transcript.pyannote[1802].end 9438.57284375
transcript.pyannote[1803].speaker SPEAKER_05
transcript.pyannote[1803].start 9439.50096875
transcript.pyannote[1803].end 9441.23909375
transcript.pyannote[1804].speaker SPEAKER_05
transcript.pyannote[1804].start 9442.30221875
transcript.pyannote[1804].end 9448.05659375
transcript.pyannote[1805].speaker SPEAKER_06
transcript.pyannote[1805].start 9445.66034375
transcript.pyannote[1805].end 9454.97534375
transcript.pyannote[1806].speaker SPEAKER_05
transcript.pyannote[1806].start 9454.97534375
transcript.pyannote[1806].end 9458.14784375
transcript.pyannote[1807].speaker SPEAKER_06
transcript.pyannote[1807].start 9455.22846875
transcript.pyannote[1807].end 9456.49409375
transcript.pyannote[1808].speaker SPEAKER_05
transcript.pyannote[1808].start 9458.99159375
transcript.pyannote[1808].end 9460.78034375
transcript.pyannote[1809].speaker SPEAKER_05
transcript.pyannote[1809].start 9461.42159375
transcript.pyannote[1809].end 9463.19346875
transcript.pyannote[1810].speaker SPEAKER_05
transcript.pyannote[1810].start 9463.88534375
transcript.pyannote[1810].end 9466.38284375
transcript.pyannote[1811].speaker SPEAKER_05
transcript.pyannote[1811].start 9467.19284375
transcript.pyannote[1811].end 9469.43721875
transcript.pyannote[1812].speaker SPEAKER_08
transcript.pyannote[1812].start 9469.58909375
transcript.pyannote[1812].end 9474.36471875
transcript.pyannote[1813].speaker SPEAKER_08
transcript.pyannote[1813].start 9474.93846875
transcript.pyannote[1813].end 9477.95909375
transcript.pyannote[1814].speaker SPEAKER_08
transcript.pyannote[1814].start 9478.06034375
transcript.pyannote[1814].end 9482.41409375
transcript.pyannote[1815].speaker SPEAKER_05
transcript.pyannote[1815].start 9483.74721875
transcript.pyannote[1815].end 9485.02971875
transcript.pyannote[1816].speaker SPEAKER_05
transcript.pyannote[1816].start 9486.27846875
transcript.pyannote[1816].end 9487.13909375
transcript.pyannote[1817].speaker SPEAKER_05
transcript.pyannote[1817].start 9487.34159375
transcript.pyannote[1817].end 9490.04159375
transcript.pyannote[1818].speaker SPEAKER_05
transcript.pyannote[1818].start 9490.63221875
transcript.pyannote[1818].end 9492.62346875
transcript.pyannote[1819].speaker SPEAKER_05
transcript.pyannote[1819].start 9493.93971875
transcript.pyannote[1819].end 9496.79159375
transcript.pyannote[1820].speaker SPEAKER_05
transcript.pyannote[1820].start 9497.14596875
transcript.pyannote[1820].end 9497.75346875
transcript.pyannote[1821].speaker SPEAKER_05
transcript.pyannote[1821].start 9498.29346875
transcript.pyannote[1821].end 9498.34409375
transcript.pyannote[1822].speaker SPEAKER_05
transcript.pyannote[1822].start 9498.59721875
transcript.pyannote[1822].end 9500.89221875
transcript.pyannote[1823].speaker SPEAKER_05
transcript.pyannote[1823].start 9501.60096875
transcript.pyannote[1823].end 9503.45721875
transcript.pyannote[1824].speaker SPEAKER_05
transcript.pyannote[1824].start 9505.36409375
transcript.pyannote[1824].end 9506.02221875
transcript.pyannote[1825].speaker SPEAKER_05
transcript.pyannote[1825].start 9507.86159375
transcript.pyannote[1825].end 9508.90784375
transcript.pyannote[1826].speaker SPEAKER_05
transcript.pyannote[1826].start 9509.22846875
transcript.pyannote[1826].end 9510.24096875
transcript.pyannote[1827].speaker SPEAKER_05
transcript.pyannote[1827].start 9511.77659375
transcript.pyannote[1827].end 9513.66659375
transcript.pyannote[1828].speaker SPEAKER_05
transcript.pyannote[1828].start 9515.35409375
transcript.pyannote[1828].end 9516.29909375
transcript.pyannote[1829].speaker SPEAKER_05
transcript.pyannote[1829].start 9516.68721875
transcript.pyannote[1829].end 9518.25659375
transcript.pyannote[1830].speaker SPEAKER_05
transcript.pyannote[1830].start 9518.61096875
transcript.pyannote[1830].end 9521.42909375
transcript.pyannote[1831].speaker SPEAKER_05
transcript.pyannote[1831].start 9521.86784375
transcript.pyannote[1831].end 9524.97284375
transcript.pyannote[1832].speaker SPEAKER_05
transcript.pyannote[1832].start 9525.56346875
transcript.pyannote[1832].end 9527.28471875
transcript.pyannote[1833].speaker SPEAKER_05
transcript.pyannote[1833].start 9527.97659375
transcript.pyannote[1833].end 9528.88784375
transcript.pyannote[1834].speaker SPEAKER_05
transcript.pyannote[1834].start 9529.36034375
transcript.pyannote[1834].end 9530.40659375
transcript.pyannote[1835].speaker SPEAKER_05
transcript.pyannote[1835].start 9531.09846875
transcript.pyannote[1835].end 9532.26284375
transcript.pyannote[1836].speaker SPEAKER_05
transcript.pyannote[1836].start 9534.55784375
transcript.pyannote[1836].end 9536.56596875
transcript.pyannote[1837].speaker SPEAKER_05
transcript.pyannote[1837].start 9537.51096875
transcript.pyannote[1837].end 9538.23659375
transcript.pyannote[1838].speaker SPEAKER_05
transcript.pyannote[1838].start 9539.73846875
transcript.pyannote[1838].end 9540.02534375
transcript.pyannote[1839].speaker SPEAKER_05
transcript.pyannote[1839].start 9541.10534375
transcript.pyannote[1839].end 9541.91534375
transcript.pyannote[1840].speaker SPEAKER_05
transcript.pyannote[1840].start 9542.53971875
transcript.pyannote[1840].end 9544.19346875
transcript.pyannote[1841].speaker SPEAKER_05
transcript.pyannote[1841].start 9545.23971875
transcript.pyannote[1841].end 9546.04971875
transcript.pyannote[1842].speaker SPEAKER_05
transcript.pyannote[1842].start 9546.43784375
transcript.pyannote[1842].end 9546.85971875
transcript.pyannote[1843].speaker SPEAKER_05
transcript.pyannote[1843].start 9547.43346875
transcript.pyannote[1843].end 9547.93971875
transcript.pyannote[1844].speaker SPEAKER_05
transcript.pyannote[1844].start 9548.59784375
transcript.pyannote[1844].end 9549.30659375
transcript.pyannote[1845].speaker SPEAKER_05
transcript.pyannote[1845].start 9549.79596875
transcript.pyannote[1845].end 9551.07846875
transcript.pyannote[1846].speaker SPEAKER_05
transcript.pyannote[1846].start 9551.26409375
transcript.pyannote[1846].end 9552.24284375
transcript.pyannote[1847].speaker SPEAKER_05
transcript.pyannote[1847].start 9552.64784375
transcript.pyannote[1847].end 9553.69409375
transcript.pyannote[1848].speaker SPEAKER_05
transcript.pyannote[1848].start 9554.60534375
transcript.pyannote[1848].end 9556.86659375
transcript.pyannote[1849].speaker SPEAKER_05
transcript.pyannote[1849].start 9558.33471875
transcript.pyannote[1849].end 9560.78159375
transcript.pyannote[1850].speaker SPEAKER_05
transcript.pyannote[1850].start 9561.03471875
transcript.pyannote[1850].end 9562.67159375
transcript.pyannote[1851].speaker SPEAKER_05
transcript.pyannote[1851].start 9562.89096875
transcript.pyannote[1851].end 9564.62909375
transcript.pyannote[1852].speaker SPEAKER_05
transcript.pyannote[1852].start 9565.20284375
transcript.pyannote[1852].end 9566.46846875
transcript.pyannote[1853].speaker SPEAKER_05
transcript.pyannote[1853].start 9566.87346875
transcript.pyannote[1853].end 9567.81846875
transcript.pyannote[1854].speaker SPEAKER_05
transcript.pyannote[1854].start 9568.02096875
transcript.pyannote[1854].end 9568.83096875
transcript.pyannote[1855].speaker SPEAKER_05
transcript.pyannote[1855].start 9569.11784375
transcript.pyannote[1855].end 9569.92784375
transcript.pyannote[1856].speaker SPEAKER_05
transcript.pyannote[1856].start 9569.97846875
transcript.pyannote[1856].end 9571.27784375
transcript.pyannote[1857].speaker SPEAKER_05
transcript.pyannote[1857].start 9572.29034375
transcript.pyannote[1857].end 9575.10846875
transcript.pyannote[1858].speaker SPEAKER_05
transcript.pyannote[1858].start 9576.82971875
transcript.pyannote[1858].end 9578.26409375
transcript.pyannote[1859].speaker SPEAKER_05
transcript.pyannote[1859].start 9578.82096875
transcript.pyannote[1859].end 9580.15409375
transcript.pyannote[1860].speaker SPEAKER_05
transcript.pyannote[1860].start 9580.33971875
transcript.pyannote[1860].end 9581.52096875
transcript.pyannote[1861].speaker SPEAKER_05
transcript.pyannote[1861].start 9581.79096875
transcript.pyannote[1861].end 9582.88784375
transcript.pyannote[1862].speaker SPEAKER_05
transcript.pyannote[1862].start 9583.15784375
transcript.pyannote[1862].end 9584.47409375
transcript.pyannote[1863].speaker SPEAKER_05
transcript.pyannote[1863].start 9584.84534375
transcript.pyannote[1863].end 9585.79034375
transcript.pyannote[1864].speaker SPEAKER_05
transcript.pyannote[1864].start 9586.48221875
transcript.pyannote[1864].end 9587.29221875
transcript.pyannote[1865].speaker SPEAKER_05
transcript.pyannote[1865].start 9587.96721875
transcript.pyannote[1865].end 9590.11034375
transcript.pyannote[1866].speaker SPEAKER_05
transcript.pyannote[1866].start 9590.48159375
transcript.pyannote[1866].end 9591.52784375
transcript.pyannote[1867].speaker SPEAKER_05
transcript.pyannote[1867].start 9592.55721875
transcript.pyannote[1867].end 9595.10534375
transcript.pyannote[1868].speaker SPEAKER_05
transcript.pyannote[1868].start 9595.84784375
transcript.pyannote[1868].end 9598.00784375
transcript.pyannote[1869].speaker SPEAKER_05
transcript.pyannote[1869].start 9598.37909375
transcript.pyannote[1869].end 9599.12159375
transcript.pyannote[1870].speaker SPEAKER_05
transcript.pyannote[1870].start 9599.61096875
transcript.pyannote[1870].end 9601.46721875
transcript.pyannote[1871].speaker SPEAKER_05
transcript.pyannote[1871].start 9601.73721875
transcript.pyannote[1871].end 9603.03659375
transcript.pyannote[1872].speaker SPEAKER_05
transcript.pyannote[1872].start 9603.34034375
transcript.pyannote[1872].end 9605.41596875
transcript.pyannote[1873].speaker SPEAKER_05
transcript.pyannote[1873].start 9605.71971875
transcript.pyannote[1873].end 9606.46221875
transcript.pyannote[1874].speaker SPEAKER_05
transcript.pyannote[1874].start 9606.96846875
transcript.pyannote[1874].end 9609.21284375
transcript.pyannote[1875].speaker SPEAKER_05
transcript.pyannote[1875].start 9609.38159375
transcript.pyannote[1875].end 9609.98909375
transcript.pyannote[1876].speaker SPEAKER_05
transcript.pyannote[1876].start 9610.14096875
transcript.pyannote[1876].end 9612.58784375
transcript.pyannote[1877].speaker SPEAKER_05
transcript.pyannote[1877].start 9613.12784375
transcript.pyannote[1877].end 9615.01784375
transcript.pyannote[1878].speaker SPEAKER_05
transcript.pyannote[1878].start 9616.31721875
transcript.pyannote[1878].end 9617.14409375
transcript.pyannote[1879].speaker SPEAKER_05
transcript.pyannote[1879].start 9617.51534375
transcript.pyannote[1879].end 9619.74284375
transcript.pyannote[1880].speaker SPEAKER_05
transcript.pyannote[1880].start 9620.28284375
transcript.pyannote[1880].end 9623.72534375
transcript.pyannote[1881].speaker SPEAKER_05
transcript.pyannote[1881].start 9624.97409375
transcript.pyannote[1881].end 9626.12159375
transcript.pyannote[1882].speaker SPEAKER_05
transcript.pyannote[1882].start 9627.11721875
transcript.pyannote[1882].end 9628.34909375
transcript.pyannote[1883].speaker SPEAKER_05
transcript.pyannote[1883].start 9628.75409375
transcript.pyannote[1883].end 9629.68221875
transcript.pyannote[1884].speaker SPEAKER_05
transcript.pyannote[1884].start 9630.37409375
transcript.pyannote[1884].end 9632.11221875
transcript.pyannote[1885].speaker SPEAKER_05
transcript.pyannote[1885].start 9632.48346875
transcript.pyannote[1885].end 9633.24284375
transcript.pyannote[1886].speaker SPEAKER_05
transcript.pyannote[1886].start 9633.83346875
transcript.pyannote[1886].end 9634.06971875
transcript.pyannote[1887].speaker SPEAKER_05
transcript.pyannote[1887].start 9634.87971875
transcript.pyannote[1887].end 9636.85409375
transcript.pyannote[1888].speaker SPEAKER_05
transcript.pyannote[1888].start 9637.44471875
transcript.pyannote[1888].end 9638.81159375
transcript.pyannote[1889].speaker SPEAKER_05
transcript.pyannote[1889].start 9640.92096875
transcript.pyannote[1889].end 9642.45659375
transcript.pyannote[1890].speaker SPEAKER_05
transcript.pyannote[1890].start 9642.84471875
transcript.pyannote[1890].end 9645.17346875
transcript.pyannote[1891].speaker SPEAKER_05
transcript.pyannote[1891].start 9646.62471875
transcript.pyannote[1891].end 9649.34159375
transcript.pyannote[1892].speaker SPEAKER_05
transcript.pyannote[1892].start 9649.78034375
transcript.pyannote[1892].end 9652.26096875
transcript.pyannote[1893].speaker SPEAKER_05
transcript.pyannote[1893].start 9653.66159375
transcript.pyannote[1893].end 9654.74159375
transcript.pyannote[1894].speaker SPEAKER_05
transcript.pyannote[1894].start 9655.39971875
transcript.pyannote[1894].end 9657.13784375
transcript.pyannote[1895].speaker SPEAKER_05
transcript.pyannote[1895].start 9657.82971875
transcript.pyannote[1895].end 9660.10784375
transcript.pyannote[1896].speaker SPEAKER_05
transcript.pyannote[1896].start 9661.01909375
transcript.pyannote[1896].end 9662.89221875
transcript.pyannote[1897].speaker SPEAKER_05
transcript.pyannote[1897].start 9662.97659375
transcript.pyannote[1897].end 9664.05659375
transcript.pyannote[1898].speaker SPEAKER_05
transcript.pyannote[1898].start 9664.90034375
transcript.pyannote[1898].end 9668.41034375
transcript.pyannote[1899].speaker SPEAKER_05
transcript.pyannote[1899].start 9669.69284375
transcript.pyannote[1899].end 9670.67159375
transcript.pyannote[1900].speaker SPEAKER_05
transcript.pyannote[1900].start 9671.44784375
transcript.pyannote[1900].end 9672.19034375
transcript.pyannote[1901].speaker SPEAKER_05
transcript.pyannote[1901].start 9673.06784375
transcript.pyannote[1901].end 9673.77659375
transcript.pyannote[1902].speaker SPEAKER_05
transcript.pyannote[1902].start 9674.45159375
transcript.pyannote[1902].end 9675.88596875
transcript.pyannote[1903].speaker SPEAKER_05
transcript.pyannote[1903].start 9676.67909375
transcript.pyannote[1903].end 9677.72534375
transcript.pyannote[1904].speaker SPEAKER_05
transcript.pyannote[1904].start 9678.75471875
transcript.pyannote[1904].end 9679.42971875
transcript.pyannote[1905].speaker SPEAKER_05
transcript.pyannote[1905].start 9679.66596875
transcript.pyannote[1905].end 9680.83034375
transcript.pyannote[1906].speaker SPEAKER_05
transcript.pyannote[1906].start 9681.45471875
transcript.pyannote[1906].end 9682.45034375
transcript.pyannote[1907].speaker SPEAKER_05
transcript.pyannote[1907].start 9683.31096875
transcript.pyannote[1907].end 9685.67346875
transcript.pyannote[1908].speaker SPEAKER_05
transcript.pyannote[1908].start 9686.02784375
transcript.pyannote[1908].end 9687.74909375
transcript.pyannote[1909].speaker SPEAKER_05
transcript.pyannote[1909].start 9688.50846875
transcript.pyannote[1909].end 9689.41971875
transcript.pyannote[1910].speaker SPEAKER_05
transcript.pyannote[1910].start 9690.02721875
transcript.pyannote[1910].end 9690.56721875
transcript.pyannote[1911].speaker SPEAKER_05
transcript.pyannote[1911].start 9690.66846875
transcript.pyannote[1911].end 9691.64721875
transcript.pyannote[1912].speaker SPEAKER_05
transcript.pyannote[1912].start 9692.40659375
transcript.pyannote[1912].end 9695.64659375
transcript.pyannote[1913].speaker SPEAKER_05
transcript.pyannote[1913].start 9695.96721875
transcript.pyannote[1913].end 9696.77721875
transcript.pyannote[1914].speaker SPEAKER_05
transcript.pyannote[1914].start 9697.14846875
transcript.pyannote[1914].end 9697.90784375
transcript.pyannote[1915].speaker SPEAKER_05
transcript.pyannote[1915].start 9698.90346875
transcript.pyannote[1915].end 9699.57846875
transcript.pyannote[1916].speaker SPEAKER_05
transcript.pyannote[1916].start 9700.52346875
transcript.pyannote[1916].end 9703.49346875
transcript.pyannote[1917].speaker SPEAKER_05
transcript.pyannote[1917].start 9704.03346875
transcript.pyannote[1917].end 9705.88971875
transcript.pyannote[1918].speaker SPEAKER_06
transcript.pyannote[1918].start 9704.21909375
transcript.pyannote[1918].end 9718.02284375
transcript.pyannote[1919].speaker SPEAKER_05
transcript.pyannote[1919].start 9715.59284375
transcript.pyannote[1919].end 9717.70221875
transcript.pyannote[1920].speaker SPEAKER_05
transcript.pyannote[1920].start 9718.02284375
transcript.pyannote[1920].end 9718.61346875
transcript.pyannote[1921].speaker SPEAKER_06
transcript.pyannote[1921].start 9718.61346875
transcript.pyannote[1921].end 9718.68096875
transcript.pyannote[1922].speaker SPEAKER_05
transcript.pyannote[1922].start 9719.06909375
transcript.pyannote[1922].end 9722.27534375
transcript.pyannote[1923].speaker SPEAKER_06
transcript.pyannote[1923].start 9719.11971875
transcript.pyannote[1923].end 9719.77784375
transcript.pyannote[1924].speaker SPEAKER_06
transcript.pyannote[1924].start 9721.11096875
transcript.pyannote[1924].end 9721.33034375
transcript.pyannote[1925].speaker SPEAKER_00
transcript.pyannote[1925].start 9721.33034375
transcript.pyannote[1925].end 9721.34721875
transcript.pyannote[1926].speaker SPEAKER_05
transcript.pyannote[1926].start 9722.42721875
transcript.pyannote[1926].end 9726.67971875
transcript.pyannote[1927].speaker SPEAKER_00
transcript.pyannote[1927].start 9722.46096875
transcript.pyannote[1927].end 9722.47784375
transcript.pyannote[1928].speaker SPEAKER_06
transcript.pyannote[1928].start 9722.47784375
transcript.pyannote[1928].end 9722.74784375
transcript.pyannote[1929].speaker SPEAKER_00
transcript.pyannote[1929].start 9722.74784375
transcript.pyannote[1929].end 9722.78159375
transcript.pyannote[1930].speaker SPEAKER_05
transcript.pyannote[1930].start 9727.03409375
transcript.pyannote[1930].end 9728.72159375
transcript.pyannote[1931].speaker SPEAKER_05
transcript.pyannote[1931].start 9729.37971875
transcript.pyannote[1931].end 9732.55221875
transcript.pyannote[1932].speaker SPEAKER_05
transcript.pyannote[1932].start 9733.00784375
transcript.pyannote[1932].end 9733.80096875
transcript.pyannote[1933].speaker SPEAKER_05
transcript.pyannote[1933].start 9734.18909375
transcript.pyannote[1933].end 9735.01596875
transcript.pyannote[1934].speaker SPEAKER_05
transcript.pyannote[1934].start 9735.70784375
transcript.pyannote[1934].end 9739.75784375
transcript.pyannote[1935].speaker SPEAKER_05
transcript.pyannote[1935].start 9739.87596875
transcript.pyannote[1935].end 9740.71971875
transcript.pyannote[1936].speaker SPEAKER_05
transcript.pyannote[1936].start 9741.05721875
transcript.pyannote[1936].end 9745.17471875
transcript.pyannote[1937].speaker SPEAKER_06
transcript.pyannote[1937].start 9741.10784375
transcript.pyannote[1937].end 9745.42784375
transcript.pyannote[1938].speaker SPEAKER_05
transcript.pyannote[1938].start 9745.42784375
transcript.pyannote[1938].end 9746.44034375
transcript.pyannote[1939].speaker SPEAKER_06
transcript.pyannote[1939].start 9745.86659375
transcript.pyannote[1939].end 9746.94659375
transcript.pyannote[1940].speaker SPEAKER_05
transcript.pyannote[1940].start 9746.94659375
transcript.pyannote[1940].end 9748.12784375
transcript.pyannote[1941].speaker SPEAKER_06
transcript.pyannote[1941].start 9747.01409375
transcript.pyannote[1941].end 9748.07721875
transcript.pyannote[1942].speaker SPEAKER_05
transcript.pyannote[1942].start 9748.73534375
transcript.pyannote[1942].end 9750.67596875
transcript.pyannote[1943].speaker SPEAKER_05
transcript.pyannote[1943].start 9751.13159375
transcript.pyannote[1943].end 9752.31284375
transcript.pyannote[1944].speaker SPEAKER_05
transcript.pyannote[1944].start 9753.03846875
transcript.pyannote[1944].end 9753.83159375
transcript.pyannote[1945].speaker SPEAKER_05
transcript.pyannote[1945].start 9754.18596875
transcript.pyannote[1945].end 9756.48096875
transcript.pyannote[1946].speaker SPEAKER_05
transcript.pyannote[1946].start 9756.75096875
transcript.pyannote[1946].end 9757.76346875
transcript.pyannote[1947].speaker SPEAKER_05
transcript.pyannote[1947].start 9758.28659375
transcript.pyannote[1947].end 9760.59846875
transcript.pyannote[1948].speaker SPEAKER_05
transcript.pyannote[1948].start 9761.22284375
transcript.pyannote[1948].end 9762.43784375
transcript.pyannote[1949].speaker SPEAKER_05
transcript.pyannote[1949].start 9762.64034375
transcript.pyannote[1949].end 9763.88909375
transcript.pyannote[1950].speaker SPEAKER_05
transcript.pyannote[1950].start 9764.74971875
transcript.pyannote[1950].end 9765.42471875
transcript.pyannote[1951].speaker SPEAKER_05
transcript.pyannote[1951].start 9766.11659375
transcript.pyannote[1951].end 9768.59721875
transcript.pyannote[1952].speaker SPEAKER_05
transcript.pyannote[1952].start 9769.49159375
transcript.pyannote[1952].end 9771.55034375
transcript.pyannote[1953].speaker SPEAKER_05
transcript.pyannote[1953].start 9771.98909375
transcript.pyannote[1953].end 9774.77346875
transcript.pyannote[1954].speaker SPEAKER_05
transcript.pyannote[1954].start 9775.11096875
transcript.pyannote[1954].end 9775.70159375
transcript.pyannote[1955].speaker SPEAKER_05
transcript.pyannote[1955].start 9776.00534375
transcript.pyannote[1955].end 9776.61284375
transcript.pyannote[1956].speaker SPEAKER_05
transcript.pyannote[1956].start 9777.20346875
transcript.pyannote[1956].end 9778.01346875
transcript.pyannote[1957].speaker SPEAKER_05
transcript.pyannote[1957].start 9778.50284375
transcript.pyannote[1957].end 9780.24096875
transcript.pyannote[1958].speaker SPEAKER_05
transcript.pyannote[1958].start 9780.73034375
transcript.pyannote[1958].end 9782.77221875
transcript.pyannote[1959].speaker SPEAKER_05
transcript.pyannote[1959].start 9783.00846875
transcript.pyannote[1959].end 9787.31159375
transcript.pyannote[1960].speaker SPEAKER_06
transcript.pyannote[1960].start 9786.63659375
transcript.pyannote[1960].end 9795.58034375
transcript.pyannote[1961].speaker SPEAKER_05
transcript.pyannote[1961].start 9795.58034375
transcript.pyannote[1961].end 9805.13159375
transcript.pyannote[1962].speaker SPEAKER_06
transcript.pyannote[1962].start 9799.83284375
transcript.pyannote[1962].end 9800.23784375
transcript.pyannote[1963].speaker SPEAKER_05
transcript.pyannote[1963].start 9806.05971875
transcript.pyannote[1963].end 9808.74284375
transcript.pyannote[1964].speaker SPEAKER_06
transcript.pyannote[1964].start 9808.25346875
transcript.pyannote[1964].end 9820.57221875
transcript.pyannote[1965].speaker SPEAKER_05
transcript.pyannote[1965].start 9812.20221875
transcript.pyannote[1965].end 9813.26534375
transcript.pyannote[1966].speaker SPEAKER_05
transcript.pyannote[1966].start 9816.99471875
transcript.pyannote[1966].end 9819.45846875
transcript.pyannote[1967].speaker SPEAKER_05
transcript.pyannote[1967].start 9819.74534375
transcript.pyannote[1967].end 9821.39909375
transcript.pyannote[1968].speaker SPEAKER_05
transcript.pyannote[1968].start 9821.61846875
transcript.pyannote[1968].end 9823.00221875
transcript.pyannote[1969].speaker SPEAKER_05
transcript.pyannote[1969].start 9824.18346875
transcript.pyannote[1969].end 9827.05221875
transcript.pyannote[1970].speaker SPEAKER_05
transcript.pyannote[1970].start 9828.04784375
transcript.pyannote[1970].end 9833.90346875
transcript.pyannote[1971].speaker SPEAKER_05
transcript.pyannote[1971].start 9834.49409375
transcript.pyannote[1971].end 9835.57409375
transcript.pyannote[1972].speaker SPEAKER_05
transcript.pyannote[1972].start 9835.92846875
transcript.pyannote[1972].end 9837.49784375
transcript.pyannote[1973].speaker SPEAKER_05
transcript.pyannote[1973].start 9838.17284375
transcript.pyannote[1973].end 9840.70409375
transcript.pyannote[1974].speaker SPEAKER_05
transcript.pyannote[1974].start 9841.51409375
transcript.pyannote[1974].end 9843.13409375
transcript.pyannote[1975].speaker SPEAKER_00
transcript.pyannote[1975].start 9843.48846875
transcript.pyannote[1975].end 9843.74159375
transcript.pyannote[1976].speaker SPEAKER_05
transcript.pyannote[1976].start 9844.80471875
transcript.pyannote[1976].end 9848.56784375
transcript.pyannote[1977].speaker SPEAKER_00
transcript.pyannote[1977].start 9849.07409375
transcript.pyannote[1977].end 9849.34409375
transcript.pyannote[1978].speaker SPEAKER_05
transcript.pyannote[1978].start 9849.90096875
transcript.pyannote[1978].end 9853.10721875
transcript.pyannote[1979].speaker SPEAKER_05
transcript.pyannote[1979].start 9854.00159375
transcript.pyannote[1979].end 9855.53721875
transcript.pyannote[1980].speaker SPEAKER_05
transcript.pyannote[1980].start 9856.48221875
transcript.pyannote[1980].end 9857.41034375
transcript.pyannote[1981].speaker SPEAKER_05
transcript.pyannote[1981].start 9858.20346875
transcript.pyannote[1981].end 9860.73471875
transcript.pyannote[1982].speaker SPEAKER_05
transcript.pyannote[1982].start 9861.46034375
transcript.pyannote[1982].end 9862.81034375
transcript.pyannote[1983].speaker SPEAKER_05
transcript.pyannote[1983].start 9863.38409375
transcript.pyannote[1983].end 9867.41721875
transcript.pyannote[1984].speaker SPEAKER_05
transcript.pyannote[1984].start 9868.21034375
transcript.pyannote[1984].end 9869.64471875
transcript.pyannote[1985].speaker SPEAKER_05
transcript.pyannote[1985].start 9870.03284375
transcript.pyannote[1985].end 9871.04534375
transcript.pyannote[1986].speaker SPEAKER_05
transcript.pyannote[1986].start 9871.77096875
transcript.pyannote[1986].end 9872.54721875
transcript.pyannote[1987].speaker SPEAKER_05
transcript.pyannote[1987].start 9873.40784375
transcript.pyannote[1987].end 9876.25971875
transcript.pyannote[1988].speaker SPEAKER_05
transcript.pyannote[1988].start 9876.81659375
transcript.pyannote[1988].end 9878.28471875
transcript.pyannote[1989].speaker SPEAKER_05
transcript.pyannote[1989].start 9879.44909375
transcript.pyannote[1989].end 9882.23346875
transcript.pyannote[1990].speaker SPEAKER_05
transcript.pyannote[1990].start 9882.99284375
transcript.pyannote[1990].end 9885.76034375
transcript.pyannote[1991].speaker SPEAKER_05
transcript.pyannote[1991].start 9886.08096875
transcript.pyannote[1991].end 9887.32971875
transcript.pyannote[1992].speaker SPEAKER_05
transcript.pyannote[1992].start 9888.00471875
transcript.pyannote[1992].end 9890.92409375
transcript.pyannote[1993].speaker SPEAKER_05
transcript.pyannote[1993].start 9890.97471875
transcript.pyannote[1993].end 9895.63221875
transcript.pyannote[1994].speaker SPEAKER_05
transcript.pyannote[1994].start 9896.02034375
transcript.pyannote[1994].end 9896.40846875
transcript.pyannote[1995].speaker SPEAKER_05
transcript.pyannote[1995].start 9897.10034375
transcript.pyannote[1995].end 9900.47534375
transcript.pyannote[1996].speaker SPEAKER_05
transcript.pyannote[1996].start 9901.28534375
transcript.pyannote[1996].end 9902.95596875
transcript.pyannote[1997].speaker SPEAKER_05
transcript.pyannote[1997].start 9903.64784375
transcript.pyannote[1997].end 9904.89659375
transcript.pyannote[1998].speaker SPEAKER_05
transcript.pyannote[1998].start 9905.16659375
transcript.pyannote[1998].end 9905.79096875
transcript.pyannote[1999].speaker SPEAKER_05
transcript.pyannote[1999].start 9906.24659375
transcript.pyannote[1999].end 9907.95096875
transcript.pyannote[2000].speaker SPEAKER_05
transcript.pyannote[2000].start 9908.45721875
transcript.pyannote[2000].end 9911.19096875
transcript.pyannote[2001].speaker SPEAKER_05
transcript.pyannote[2001].start 9911.79846875
transcript.pyannote[2001].end 9913.16534375
transcript.pyannote[2002].speaker SPEAKER_05
transcript.pyannote[2002].start 9914.53221875
transcript.pyannote[2002].end 9916.37159375
transcript.pyannote[2003].speaker SPEAKER_05
transcript.pyannote[2003].start 9919.78034375
transcript.pyannote[2003].end 9920.64096875
transcript.pyannote[2004].speaker SPEAKER_05
transcript.pyannote[2004].start 9921.70409375
transcript.pyannote[2004].end 9925.04534375
transcript.pyannote[2005].speaker SPEAKER_05
transcript.pyannote[2005].start 9925.31534375
transcript.pyannote[2005].end 9927.66096875
transcript.pyannote[2006].speaker SPEAKER_05
transcript.pyannote[2006].start 9927.76221875
transcript.pyannote[2006].end 9928.25159375
transcript.pyannote[2007].speaker SPEAKER_05
transcript.pyannote[2007].start 9929.29784375
transcript.pyannote[2007].end 9930.12471875
transcript.pyannote[2008].speaker SPEAKER_05
transcript.pyannote[2008].start 9930.93471875
transcript.pyannote[2008].end 9932.36909375
transcript.pyannote[2009].speaker SPEAKER_05
transcript.pyannote[2009].start 9932.75721875
transcript.pyannote[2009].end 9939.45659375
transcript.pyannote[2010].speaker SPEAKER_05
transcript.pyannote[2010].start 9940.16534375
transcript.pyannote[2010].end 9944.01284375
transcript.pyannote[2011].speaker SPEAKER_05
transcript.pyannote[2011].start 9944.56971875
transcript.pyannote[2011].end 9947.33721875
transcript.pyannote[2012].speaker SPEAKER_05
transcript.pyannote[2012].start 9948.90659375
transcript.pyannote[2012].end 9950.35784375
transcript.pyannote[2013].speaker SPEAKER_05
transcript.pyannote[2013].start 9950.84721875
transcript.pyannote[2013].end 9952.07909375
transcript.pyannote[2014].speaker SPEAKER_05
transcript.pyannote[2014].start 9952.41659375
transcript.pyannote[2014].end 9953.64846875
transcript.pyannote[2015].speaker SPEAKER_05
transcript.pyannote[2015].start 9954.50909375
transcript.pyannote[2015].end 9954.84659375
transcript.pyannote[2016].speaker SPEAKER_05
transcript.pyannote[2016].start 9955.23471875
transcript.pyannote[2016].end 9955.70721875
transcript.pyannote[2017].speaker SPEAKER_05
transcript.pyannote[2017].start 9958.33971875
transcript.pyannote[2017].end 9960.14534375
transcript.pyannote[2018].speaker SPEAKER_05
transcript.pyannote[2018].start 9960.90471875
transcript.pyannote[2018].end 9963.16596875
transcript.pyannote[2019].speaker SPEAKER_00
transcript.pyannote[2019].start 9962.27159375
transcript.pyannote[2019].end 9962.76096875
transcript.pyannote[2020].speaker SPEAKER_05
transcript.pyannote[2020].start 9964.21221875
transcript.pyannote[2020].end 9964.87034375
transcript.pyannote[2021].speaker SPEAKER_05
transcript.pyannote[2021].start 9966.01784375
transcript.pyannote[2021].end 9967.92471875
transcript.pyannote[2022].speaker SPEAKER_05
transcript.pyannote[2022].start 9968.21159375
transcript.pyannote[2022].end 9969.47721875
transcript.pyannote[2023].speaker SPEAKER_05
transcript.pyannote[2023].start 9970.00034375
transcript.pyannote[2023].end 9970.81034375
transcript.pyannote[2024].speaker SPEAKER_05
transcript.pyannote[2024].start 9971.41784375
transcript.pyannote[2024].end 9972.41346875
transcript.pyannote[2025].speaker SPEAKER_05
transcript.pyannote[2025].start 9972.83534375
transcript.pyannote[2025].end 9973.84784375
transcript.pyannote[2026].speaker SPEAKER_05
transcript.pyannote[2026].start 9974.47221875
transcript.pyannote[2026].end 9977.69534375
transcript.pyannote[2027].speaker SPEAKER_05
transcript.pyannote[2027].start 9978.84284375
transcript.pyannote[2027].end 9981.00284375
transcript.pyannote[2028].speaker SPEAKER_05
transcript.pyannote[2028].start 9981.35721875
transcript.pyannote[2028].end 9982.36971875
transcript.pyannote[2029].speaker SPEAKER_05
transcript.pyannote[2029].start 9983.31471875
transcript.pyannote[2029].end 9987.44909375
transcript.pyannote[2030].speaker SPEAKER_05
transcript.pyannote[2030].start 9988.54596875
transcript.pyannote[2030].end 9989.76096875
transcript.pyannote[2031].speaker SPEAKER_05
transcript.pyannote[2031].start 9990.55409375
transcript.pyannote[2031].end 9991.73534375
transcript.pyannote[2032].speaker SPEAKER_05
transcript.pyannote[2032].start 9993.55784375
transcript.pyannote[2032].end 9996.86534375
transcript.pyannote[2033].speaker SPEAKER_05
transcript.pyannote[2033].start 9997.94534375
transcript.pyannote[2033].end 9999.68346875
transcript.pyannote[2034].speaker SPEAKER_05
transcript.pyannote[2034].start 10000.35846875
transcript.pyannote[2034].end 10000.83096875
transcript.pyannote[2035].speaker SPEAKER_05
transcript.pyannote[2035].start 10001.50596875
transcript.pyannote[2035].end 10003.10909375
transcript.pyannote[2036].speaker SPEAKER_05
transcript.pyannote[2036].start 10003.56471875
transcript.pyannote[2036].end 10006.99034375
transcript.pyannote[2037].speaker SPEAKER_05
transcript.pyannote[2037].start 10007.58096875
transcript.pyannote[2037].end 10008.39096875
transcript.pyannote[2038].speaker SPEAKER_05
transcript.pyannote[2038].start 10008.89721875
transcript.pyannote[2038].end 10010.31471875
transcript.pyannote[2039].speaker SPEAKER_05
transcript.pyannote[2039].start 10010.95596875
transcript.pyannote[2039].end 10011.74909375
transcript.pyannote[2040].speaker SPEAKER_05
transcript.pyannote[2040].start 10011.91784375
transcript.pyannote[2040].end 10012.94721875
transcript.pyannote[2041].speaker SPEAKER_05
transcript.pyannote[2041].start 10013.85846875
transcript.pyannote[2041].end 10014.09471875
transcript.pyannote[2042].speaker SPEAKER_05
transcript.pyannote[2042].start 10014.49971875
transcript.pyannote[2042].end 10015.15784375
transcript.pyannote[2043].speaker SPEAKER_05
transcript.pyannote[2043].start 10015.57971875
transcript.pyannote[2043].end 10017.62159375
transcript.pyannote[2044].speaker SPEAKER_05
transcript.pyannote[2044].start 10017.95909375
transcript.pyannote[2044].end 10021.51971875
transcript.pyannote[2045].speaker SPEAKER_05
transcript.pyannote[2045].start 10022.48159375
transcript.pyannote[2045].end 10024.84409375
transcript.pyannote[2046].speaker SPEAKER_05
transcript.pyannote[2046].start 10025.48534375
transcript.pyannote[2046].end 10027.64534375
transcript.pyannote[2047].speaker SPEAKER_05
transcript.pyannote[2047].start 10028.25284375
transcript.pyannote[2047].end 10029.29909375
transcript.pyannote[2048].speaker SPEAKER_05
transcript.pyannote[2048].start 10030.00784375
transcript.pyannote[2048].end 10031.49284375
transcript.pyannote[2049].speaker SPEAKER_05
transcript.pyannote[2049].start 10032.04971875
transcript.pyannote[2049].end 10034.04096875
transcript.pyannote[2050].speaker SPEAKER_05
transcript.pyannote[2050].start 10035.32346875
transcript.pyannote[2050].end 10041.01034375
transcript.pyannote[2051].speaker SPEAKER_05
transcript.pyannote[2051].start 10041.34784375
transcript.pyannote[2051].end 10045.81971875
transcript.pyannote[2052].speaker SPEAKER_05
transcript.pyannote[2052].start 10046.29221875
transcript.pyannote[2052].end 10046.95034375
transcript.pyannote[2053].speaker SPEAKER_05
transcript.pyannote[2053].start 10047.52409375
transcript.pyannote[2053].end 10050.27471875
transcript.pyannote[2054].speaker SPEAKER_05
transcript.pyannote[2054].start 10050.66284375
transcript.pyannote[2054].end 10052.11409375
transcript.pyannote[2055].speaker SPEAKER_05
transcript.pyannote[2055].start 10052.38409375
transcript.pyannote[2055].end 10054.10534375
transcript.pyannote[2056].speaker SPEAKER_05
transcript.pyannote[2056].start 10054.47659375
transcript.pyannote[2056].end 10055.45534375
transcript.pyannote[2057].speaker SPEAKER_05
transcript.pyannote[2057].start 10055.96159375
transcript.pyannote[2057].end 10057.90221875
transcript.pyannote[2058].speaker SPEAKER_05
transcript.pyannote[2058].start 10058.15534375
transcript.pyannote[2058].end 10059.38721875
transcript.pyannote[2059].speaker SPEAKER_05
transcript.pyannote[2059].start 10059.70784375
transcript.pyannote[2059].end 10066.60971875
transcript.pyannote[2060].speaker SPEAKER_08
transcript.pyannote[2060].start 10067.74034375
transcript.pyannote[2060].end 10068.97221875
transcript.pyannote[2061].speaker SPEAKER_05
transcript.pyannote[2061].start 10067.87534375
transcript.pyannote[2061].end 10068.48284375
transcript.pyannote[2062].speaker SPEAKER_05
transcript.pyannote[2062].start 10068.92159375
transcript.pyannote[2062].end 10069.20846875
transcript.pyannote[2063].speaker SPEAKER_06
transcript.pyannote[2063].start 10068.97221875
transcript.pyannote[2063].end 10069.00596875
transcript.pyannote[2064].speaker SPEAKER_08
transcript.pyannote[2064].start 10069.00596875
transcript.pyannote[2064].end 10069.02284375
transcript.pyannote[2065].speaker SPEAKER_06
transcript.pyannote[2065].start 10069.02284375
transcript.pyannote[2065].end 10069.07346875
transcript.pyannote[2066].speaker SPEAKER_08
transcript.pyannote[2066].start 10069.20846875
transcript.pyannote[2066].end 10069.27596875
transcript.pyannote[2067].speaker SPEAKER_05
transcript.pyannote[2067].start 10069.27596875
transcript.pyannote[2067].end 10073.95034375
transcript.pyannote[2068].speaker SPEAKER_08
transcript.pyannote[2068].start 10069.46159375
transcript.pyannote[2068].end 10069.57971875
transcript.pyannote[2069].speaker SPEAKER_06
transcript.pyannote[2069].start 10069.57971875
transcript.pyannote[2069].end 10071.28409375
transcript.pyannote[2070].speaker SPEAKER_06
transcript.pyannote[2070].start 10071.89159375
transcript.pyannote[2070].end 10072.27971875
transcript.pyannote[2071].speaker SPEAKER_06
transcript.pyannote[2071].start 10073.30909375
transcript.pyannote[2071].end 10073.49471875
transcript.pyannote[2072].speaker SPEAKER_05
transcript.pyannote[2072].start 10074.28784375
transcript.pyannote[2072].end 10075.26659375
transcript.pyannote[2073].speaker SPEAKER_05
transcript.pyannote[2073].start 10076.38034375
transcript.pyannote[2073].end 10079.38409375
transcript.pyannote[2074].speaker SPEAKER_05
transcript.pyannote[2074].start 10079.56971875
transcript.pyannote[2074].end 10083.02909375
transcript.pyannote[2075].speaker SPEAKER_05
transcript.pyannote[2075].start 10083.78846875
transcript.pyannote[2075].end 10084.32846875
transcript.pyannote[2076].speaker SPEAKER_05
transcript.pyannote[2076].start 10084.88534375
transcript.pyannote[2076].end 10089.42471875
transcript.pyannote[2077].speaker SPEAKER_05
transcript.pyannote[2077].start 10089.61034375
transcript.pyannote[2077].end 10092.27659375
transcript.pyannote[2078].speaker SPEAKER_05
transcript.pyannote[2078].start 10092.68159375
transcript.pyannote[2078].end 10095.22971875
transcript.pyannote[2079].speaker SPEAKER_05
transcript.pyannote[2079].start 10095.28034375
transcript.pyannote[2079].end 10099.39784375
transcript.pyannote[2080].speaker SPEAKER_05
transcript.pyannote[2080].start 10100.52846875
transcript.pyannote[2080].end 10102.45221875
transcript.pyannote[2081].speaker SPEAKER_05
transcript.pyannote[2081].start 10102.75596875
transcript.pyannote[2081].end 10107.64971875
transcript.pyannote[2082].speaker SPEAKER_05
transcript.pyannote[2082].start 10108.57784375
transcript.pyannote[2082].end 10114.63596875
transcript.pyannote[2083].speaker SPEAKER_05
transcript.pyannote[2083].start 10116.08721875
transcript.pyannote[2083].end 10120.54221875
transcript.pyannote[2084].speaker SPEAKER_05
transcript.pyannote[2084].start 10121.08221875
transcript.pyannote[2084].end 10121.77409375
transcript.pyannote[2085].speaker SPEAKER_05
transcript.pyannote[2085].start 10122.16221875
transcript.pyannote[2085].end 10122.60096875
transcript.pyannote[2086].speaker SPEAKER_05
transcript.pyannote[2086].start 10123.34346875
transcript.pyannote[2086].end 10126.98846875
transcript.pyannote[2087].speaker SPEAKER_05
transcript.pyannote[2087].start 10127.56221875
transcript.pyannote[2087].end 10128.08534375
transcript.pyannote[2088].speaker SPEAKER_05
transcript.pyannote[2088].start 10128.77721875
transcript.pyannote[2088].end 10131.03846875
transcript.pyannote[2089].speaker SPEAKER_05
transcript.pyannote[2089].start 10131.47721875
transcript.pyannote[2089].end 10132.28721875
transcript.pyannote[2090].speaker SPEAKER_05
transcript.pyannote[2090].start 10132.57409375
transcript.pyannote[2090].end 10132.87784375
transcript.pyannote[2091].speaker SPEAKER_05
transcript.pyannote[2091].start 10133.53596875
transcript.pyannote[2091].end 10134.88596875
transcript.pyannote[2092].speaker SPEAKER_05
transcript.pyannote[2092].start 10135.27409375
transcript.pyannote[2092].end 10136.10096875
transcript.pyannote[2093].speaker SPEAKER_05
transcript.pyannote[2093].start 10136.74221875
transcript.pyannote[2093].end 10139.49284375
transcript.pyannote[2094].speaker SPEAKER_39
transcript.pyannote[2094].start 10146.61409375
transcript.pyannote[2094].end 10147.03596875
transcript.pyannote[2095].speaker SPEAKER_39
transcript.pyannote[2095].start 10149.85409375
transcript.pyannote[2095].end 10151.76096875
transcript.pyannote[2096].speaker SPEAKER_39
transcript.pyannote[2096].start 10154.02221875
transcript.pyannote[2096].end 10159.57409375
transcript.pyannote[2097].speaker SPEAKER_39
transcript.pyannote[2097].start 10160.14784375
transcript.pyannote[2097].end 10168.65284375
transcript.pyannote[2098].speaker SPEAKER_39
transcript.pyannote[2098].start 10170.98159375
transcript.pyannote[2098].end 10171.63971875
transcript.pyannote[2099].speaker SPEAKER_19
transcript.pyannote[2099].start 10184.38034375
transcript.pyannote[2099].end 10185.79784375
transcript.pyannote[2100].speaker SPEAKER_19
transcript.pyannote[2100].start 10185.98346875
transcript.pyannote[2100].end 10191.34971875
transcript.pyannote[2101].speaker SPEAKER_19
transcript.pyannote[2101].start 10191.55221875
transcript.pyannote[2101].end 10197.54284375
transcript.pyannote[2102].speaker SPEAKER_39
transcript.pyannote[2102].start 10195.90596875
transcript.pyannote[2102].end 10196.46284375
transcript.pyannote[2103].speaker SPEAKER_19
transcript.pyannote[2103].start 10197.82971875
transcript.pyannote[2103].end 10198.90971875
transcript.pyannote[2104].speaker SPEAKER_39
transcript.pyannote[2104].start 10198.15034375
transcript.pyannote[2104].end 10198.74096875
transcript.pyannote[2105].speaker SPEAKER_39
transcript.pyannote[2105].start 10199.50034375
transcript.pyannote[2105].end 10204.90034375
transcript.pyannote[2106].speaker SPEAKER_19
transcript.pyannote[2106].start 10202.41971875
transcript.pyannote[2106].end 10203.17909375
transcript.pyannote[2107].speaker SPEAKER_19
transcript.pyannote[2107].start 10205.13659375
transcript.pyannote[2107].end 10206.31784375
transcript.pyannote[2108].speaker SPEAKER_39
transcript.pyannote[2108].start 10206.11534375
transcript.pyannote[2108].end 10210.72221875
transcript.pyannote[2109].speaker SPEAKER_19
transcript.pyannote[2109].start 10211.11034375
transcript.pyannote[2109].end 10213.16909375
transcript.pyannote[2110].speaker SPEAKER_39
transcript.pyannote[2110].start 10211.88659375
transcript.pyannote[2110].end 10212.84846875
transcript.pyannote[2111].speaker SPEAKER_19
transcript.pyannote[2111].start 10213.59096875
transcript.pyannote[2111].end 10215.10971875
transcript.pyannote[2112].speaker SPEAKER_39
transcript.pyannote[2112].start 10214.48534375
transcript.pyannote[2112].end 10215.37971875
transcript.pyannote[2113].speaker SPEAKER_19
transcript.pyannote[2113].start 10215.78471875
transcript.pyannote[2113].end 10216.10534375
transcript.pyannote[2114].speaker SPEAKER_39
transcript.pyannote[2114].start 10216.10534375
transcript.pyannote[2114].end 10216.98284375
transcript.pyannote[2115].speaker SPEAKER_19
transcript.pyannote[2115].start 10217.37096875
transcript.pyannote[2115].end 10219.80096875
transcript.pyannote[2116].speaker SPEAKER_39
transcript.pyannote[2116].start 10219.88534375
transcript.pyannote[2116].end 10222.41659375
transcript.pyannote[2117].speaker SPEAKER_19
transcript.pyannote[2117].start 10220.39159375
transcript.pyannote[2117].end 10220.72909375
transcript.pyannote[2118].speaker SPEAKER_33
transcript.pyannote[2118].start 10232.94659375
transcript.pyannote[2118].end 10233.68909375
transcript.pyannote[2119].speaker SPEAKER_19
transcript.pyannote[2119].start 10233.04784375
transcript.pyannote[2119].end 10233.46971875
transcript.pyannote[2120].speaker SPEAKER_19
transcript.pyannote[2120].start 10233.68909375
transcript.pyannote[2120].end 10242.78471875
transcript.pyannote[2121].speaker SPEAKER_19
transcript.pyannote[2121].start 10243.18971875
transcript.pyannote[2121].end 10245.36659375
transcript.pyannote[2122].speaker SPEAKER_19
transcript.pyannote[2122].start 10245.88971875
transcript.pyannote[2122].end 10250.27721875
transcript.pyannote[2123].speaker SPEAKER_19
transcript.pyannote[2123].start 10250.54721875
transcript.pyannote[2123].end 10254.07409375
transcript.pyannote[2124].speaker SPEAKER_19
transcript.pyannote[2124].start 10254.64784375
transcript.pyannote[2124].end 10255.82909375
transcript.pyannote[2125].speaker SPEAKER_19
transcript.pyannote[2125].start 10256.08221875
transcript.pyannote[2125].end 10259.72721875
transcript.pyannote[2126].speaker SPEAKER_19
transcript.pyannote[2126].start 10259.94659375
transcript.pyannote[2126].end 10274.03721875
transcript.pyannote[2127].speaker SPEAKER_19
transcript.pyannote[2127].start 10274.40846875
transcript.pyannote[2127].end 10279.72409375
transcript.pyannote[2128].speaker SPEAKER_19
transcript.pyannote[2128].start 10280.11221875
transcript.pyannote[2128].end 10280.65221875
transcript.pyannote[2129].speaker SPEAKER_19
transcript.pyannote[2129].start 10281.07409375
transcript.pyannote[2129].end 10287.38534375
transcript.pyannote[2130].speaker SPEAKER_19
transcript.pyannote[2130].start 10287.68909375
transcript.pyannote[2130].end 10330.11284375
transcript.pyannote[2131].speaker SPEAKER_19
transcript.pyannote[2131].start 10331.54721875
transcript.pyannote[2131].end 10332.49221875
transcript.pyannote[2132].speaker SPEAKER_19
transcript.pyannote[2132].start 10332.77909375
transcript.pyannote[2132].end 10337.20034375
transcript.pyannote[2133].speaker SPEAKER_19
transcript.pyannote[2133].start 10337.87534375
transcript.pyannote[2133].end 10340.50784375
transcript.pyannote[2134].speaker SPEAKER_27
transcript.pyannote[2134].start 10340.76096875
transcript.pyannote[2134].end 10345.55346875
transcript.pyannote[2135].speaker SPEAKER_27
transcript.pyannote[2135].start 10345.99221875
transcript.pyannote[2135].end 10351.30784375
transcript.pyannote[2136].speaker SPEAKER_27
transcript.pyannote[2136].start 10351.71284375
transcript.pyannote[2136].end 10352.57346875
transcript.pyannote[2137].speaker SPEAKER_27
transcript.pyannote[2137].start 10352.74221875
transcript.pyannote[2137].end 10360.47096875
transcript.pyannote[2138].speaker SPEAKER_27
transcript.pyannote[2138].start 10360.84221875
transcript.pyannote[2138].end 10364.55471875
transcript.pyannote[2139].speaker SPEAKER_27
transcript.pyannote[2139].start 10364.57159375
transcript.pyannote[2139].end 10366.61346875
transcript.pyannote[2140].speaker SPEAKER_27
transcript.pyannote[2140].start 10366.98471875
transcript.pyannote[2140].end 10370.91659375
transcript.pyannote[2141].speaker SPEAKER_27
transcript.pyannote[2141].start 10371.18659375
transcript.pyannote[2141].end 10374.03846875
transcript.pyannote[2142].speaker SPEAKER_27
transcript.pyannote[2142].start 10374.49409375
transcript.pyannote[2142].end 10379.23596875
transcript.pyannote[2143].speaker SPEAKER_27
transcript.pyannote[2143].start 10379.32034375
transcript.pyannote[2143].end 10379.74221875
transcript.pyannote[2144].speaker SPEAKER_27
transcript.pyannote[2144].start 10380.09659375
transcript.pyannote[2144].end 10380.77159375
transcript.pyannote[2145].speaker SPEAKER_27
transcript.pyannote[2145].start 10381.68284375
transcript.pyannote[2145].end 10384.09596875
transcript.pyannote[2146].speaker SPEAKER_27
transcript.pyannote[2146].start 10384.34909375
transcript.pyannote[2146].end 10397.17409375
transcript.pyannote[2147].speaker SPEAKER_19
transcript.pyannote[2147].start 10397.71409375
transcript.pyannote[2147].end 10412.05784375
transcript.pyannote[2148].speaker SPEAKER_27
transcript.pyannote[2148].start 10403.67096875
transcript.pyannote[2148].end 10404.12659375
transcript.pyannote[2149].speaker SPEAKER_00
transcript.pyannote[2149].start 10404.12659375
transcript.pyannote[2149].end 10404.16034375
transcript.pyannote[2150].speaker SPEAKER_19
transcript.pyannote[2150].start 10412.32784375
transcript.pyannote[2150].end 10417.35659375
transcript.pyannote[2151].speaker SPEAKER_19
transcript.pyannote[2151].start 10417.72784375
transcript.pyannote[2151].end 10434.02909375
transcript.pyannote[2152].speaker SPEAKER_19
transcript.pyannote[2152].start 10434.48471875
transcript.pyannote[2152].end 10436.77971875
transcript.pyannote[2153].speaker SPEAKER_19
transcript.pyannote[2153].start 10436.98221875
transcript.pyannote[2153].end 10447.03971875
transcript.pyannote[2154].speaker SPEAKER_19
transcript.pyannote[2154].start 10448.01846875
transcript.pyannote[2154].end 10455.64596875
transcript.pyannote[2155].speaker SPEAKER_19
transcript.pyannote[2155].start 10456.13534375
transcript.pyannote[2155].end 10456.77659375
transcript.pyannote[2156].speaker SPEAKER_19
transcript.pyannote[2156].start 10457.02971875
transcript.pyannote[2156].end 10459.35846875
transcript.pyannote[2157].speaker SPEAKER_19
transcript.pyannote[2157].start 10460.50596875
transcript.pyannote[2157].end 10461.51846875
transcript.pyannote[2158].speaker SPEAKER_27
transcript.pyannote[2158].start 10462.49721875
transcript.pyannote[2158].end 10465.24784375
transcript.pyannote[2159].speaker SPEAKER_27
transcript.pyannote[2159].start 10465.53471875
transcript.pyannote[2159].end 10477.58346875
transcript.pyannote[2160].speaker SPEAKER_27
transcript.pyannote[2160].start 10477.85346875
transcript.pyannote[2160].end 10486.57784375
transcript.pyannote[2161].speaker SPEAKER_27
transcript.pyannote[2161].start 10486.61159375
transcript.pyannote[2161].end 10495.80846875
transcript.pyannote[2162].speaker SPEAKER_27
transcript.pyannote[2162].start 10496.14596875
transcript.pyannote[2162].end 10498.59284375
transcript.pyannote[2163].speaker SPEAKER_27
transcript.pyannote[2163].start 10498.84596875
transcript.pyannote[2163].end 10499.40284375
transcript.pyannote[2164].speaker SPEAKER_27
transcript.pyannote[2164].start 10499.74034375
transcript.pyannote[2164].end 10526.25096875
transcript.pyannote[2165].speaker SPEAKER_27
transcript.pyannote[2165].start 10526.62221875
transcript.pyannote[2165].end 10530.67221875
transcript.pyannote[2166].speaker SPEAKER_19
transcript.pyannote[2166].start 10529.33909375
transcript.pyannote[2166].end 10536.73034375
transcript.pyannote[2167].speaker SPEAKER_19
transcript.pyannote[2167].start 10537.08471875
transcript.pyannote[2167].end 10558.48221875
transcript.pyannote[2168].speaker SPEAKER_19
transcript.pyannote[2168].start 10558.97159375
transcript.pyannote[2168].end 10574.59784375
transcript.pyannote[2169].speaker SPEAKER_19
transcript.pyannote[2169].start 10574.85096875
transcript.pyannote[2169].end 10589.76846875
transcript.pyannote[2170].speaker SPEAKER_19
transcript.pyannote[2170].start 10590.35909375
transcript.pyannote[2170].end 10603.97721875
transcript.pyannote[2171].speaker SPEAKER_19
transcript.pyannote[2171].start 10604.34846875
transcript.pyannote[2171].end 10613.03909375
transcript.pyannote[2172].speaker SPEAKER_19
transcript.pyannote[2172].start 10613.42721875
transcript.pyannote[2172].end 10618.64159375
transcript.pyannote[2173].speaker SPEAKER_19
transcript.pyannote[2173].start 10618.89471875
transcript.pyannote[2173].end 10625.35784375
transcript.pyannote[2174].speaker SPEAKER_19
transcript.pyannote[2174].start 10625.71221875
transcript.pyannote[2174].end 10650.51846875
transcript.pyannote[2175].speaker SPEAKER_33
transcript.pyannote[2175].start 10650.07971875
transcript.pyannote[2175].end 10650.61971875
transcript.pyannote[2176].speaker SPEAKER_19
transcript.pyannote[2176].start 10650.95721875
transcript.pyannote[2176].end 10655.47971875
transcript.pyannote[2177].speaker SPEAKER_33
transcript.pyannote[2177].start 10652.66159375
transcript.pyannote[2177].end 10653.13409375
transcript.pyannote[2178].speaker SPEAKER_19
transcript.pyannote[2178].start 10655.76659375
transcript.pyannote[2178].end 10672.82721875
transcript.pyannote[2179].speaker SPEAKER_08
transcript.pyannote[2179].start 10673.29971875
transcript.pyannote[2179].end 10677.09659375
transcript.pyannote[2180].speaker SPEAKER_08
transcript.pyannote[2180].start 10677.40034375
transcript.pyannote[2180].end 10678.24409375
transcript.pyannote[2181].speaker SPEAKER_08
transcript.pyannote[2181].start 10678.42971875
transcript.pyannote[2181].end 10680.43784375
transcript.pyannote[2182].speaker SPEAKER_08
transcript.pyannote[2182].start 10680.80909375
transcript.pyannote[2182].end 10684.08284375
transcript.pyannote[2183].speaker SPEAKER_08
transcript.pyannote[2183].start 10684.70721875
transcript.pyannote[2183].end 10687.86284375
transcript.pyannote[2184].speaker SPEAKER_08
transcript.pyannote[2184].start 10688.06534375
transcript.pyannote[2184].end 10688.55471875
transcript.pyannote[2185].speaker SPEAKER_08
transcript.pyannote[2185].start 10688.58846875
transcript.pyannote[2185].end 10690.24221875
transcript.pyannote[2186].speaker SPEAKER_08
transcript.pyannote[2186].start 10690.57971875
transcript.pyannote[2186].end 10691.99721875
transcript.pyannote[2187].speaker SPEAKER_08
transcript.pyannote[2187].start 10692.28409375
transcript.pyannote[2187].end 10694.79846875
transcript.pyannote[2188].speaker SPEAKER_09
transcript.pyannote[2188].start 10694.71409375
transcript.pyannote[2188].end 10694.74784375
transcript.pyannote[2189].speaker SPEAKER_09
transcript.pyannote[2189].start 10694.79846875
transcript.pyannote[2189].end 10694.93346875
transcript.pyannote[2190].speaker SPEAKER_08
transcript.pyannote[2190].start 10694.93346875
transcript.pyannote[2190].end 10697.36346875
transcript.pyannote[2191].speaker SPEAKER_08
transcript.pyannote[2191].start 10697.56596875
transcript.pyannote[2191].end 10698.37596875
transcript.pyannote[2192].speaker SPEAKER_08
transcript.pyannote[2192].start 10698.69659375
transcript.pyannote[2192].end 10700.29971875
transcript.pyannote[2193].speaker SPEAKER_08
transcript.pyannote[2193].start 10700.38409375
transcript.pyannote[2193].end 10702.69596875
transcript.pyannote[2194].speaker SPEAKER_08
transcript.pyannote[2194].start 10703.16846875
transcript.pyannote[2194].end 10706.32409375
transcript.pyannote[2195].speaker SPEAKER_08
transcript.pyannote[2195].start 10706.98221875
transcript.pyannote[2195].end 10708.73721875
transcript.pyannote[2196].speaker SPEAKER_08
transcript.pyannote[2196].start 10709.15909375
transcript.pyannote[2196].end 10713.15846875
transcript.pyannote[2197].speaker SPEAKER_08
transcript.pyannote[2197].start 10713.41159375
transcript.pyannote[2197].end 10713.93471875
transcript.pyannote[2198].speaker SPEAKER_08
transcript.pyannote[2198].start 10714.15409375
transcript.pyannote[2198].end 10714.69409375
transcript.pyannote[2199].speaker SPEAKER_08
transcript.pyannote[2199].start 10715.09909375
transcript.pyannote[2199].end 10716.82034375
transcript.pyannote[2200].speaker SPEAKER_08
transcript.pyannote[2200].start 10717.09034375
transcript.pyannote[2200].end 10720.00971875
transcript.pyannote[2201].speaker SPEAKER_08
transcript.pyannote[2201].start 10720.48221875
transcript.pyannote[2201].end 10723.57034375
transcript.pyannote[2202].speaker SPEAKER_08
transcript.pyannote[2202].start 10723.92471875
transcript.pyannote[2202].end 10726.37159375
transcript.pyannote[2203].speaker SPEAKER_08
transcript.pyannote[2203].start 10726.70909375
transcript.pyannote[2203].end 10727.67096875
transcript.pyannote[2204].speaker SPEAKER_08
transcript.pyannote[2204].start 10727.78909375
transcript.pyannote[2204].end 10729.74659375
transcript.pyannote[2205].speaker SPEAKER_08
transcript.pyannote[2205].start 10729.89846875
transcript.pyannote[2205].end 10733.22284375
transcript.pyannote[2206].speaker SPEAKER_08
transcript.pyannote[2206].start 10733.69534375
transcript.pyannote[2206].end 10740.19221875
transcript.pyannote[2207].speaker SPEAKER_27
transcript.pyannote[2207].start 10740.19221875
transcript.pyannote[2207].end 10740.20909375
transcript.pyannote[2208].speaker SPEAKER_19
transcript.pyannote[2208].start 10740.34409375
transcript.pyannote[2208].end 10742.41971875
transcript.pyannote[2209].speaker SPEAKER_27
transcript.pyannote[2209].start 10741.28909375
transcript.pyannote[2209].end 10741.39034375
transcript.pyannote[2210].speaker SPEAKER_08
transcript.pyannote[2210].start 10741.57596875
transcript.pyannote[2210].end 10741.60971875
transcript.pyannote[2211].speaker SPEAKER_27
transcript.pyannote[2211].start 10741.60971875
transcript.pyannote[2211].end 10741.62659375
transcript.pyannote[2212].speaker SPEAKER_08
transcript.pyannote[2212].start 10741.62659375
transcript.pyannote[2212].end 10741.94721875
transcript.pyannote[2213].speaker SPEAKER_27
transcript.pyannote[2213].start 10741.94721875
transcript.pyannote[2213].end 10749.57471875
transcript.pyannote[2214].speaker SPEAKER_19
transcript.pyannote[2214].start 10743.29721875
transcript.pyannote[2214].end 10743.63471875
transcript.pyannote[2215].speaker SPEAKER_27
transcript.pyannote[2215].start 10749.96284375
transcript.pyannote[2215].end 10767.81659375
transcript.pyannote[2216].speaker SPEAKER_27
transcript.pyannote[2216].start 10767.86721875
transcript.pyannote[2216].end 10770.16221875
transcript.pyannote[2217].speaker SPEAKER_27
transcript.pyannote[2217].start 10770.41534375
transcript.pyannote[2217].end 10773.92534375
transcript.pyannote[2218].speaker SPEAKER_27
transcript.pyannote[2218].start 10774.09409375
transcript.pyannote[2218].end 10776.50721875
transcript.pyannote[2219].speaker SPEAKER_27
transcript.pyannote[2219].start 10776.89534375
transcript.pyannote[2219].end 10777.90784375
transcript.pyannote[2220].speaker SPEAKER_27
transcript.pyannote[2220].start 10778.21159375
transcript.pyannote[2220].end 10781.68784375
transcript.pyannote[2221].speaker SPEAKER_27
transcript.pyannote[2221].start 10781.82284375
transcript.pyannote[2221].end 10788.52221875
transcript.pyannote[2222].speaker SPEAKER_19
transcript.pyannote[2222].start 10786.63221875
transcript.pyannote[2222].end 10813.34534375
transcript.pyannote[2223].speaker SPEAKER_19
transcript.pyannote[2223].start 10813.39596875
transcript.pyannote[2223].end 10814.96534375
transcript.pyannote[2224].speaker SPEAKER_19
transcript.pyannote[2224].start 10815.42096875
transcript.pyannote[2224].end 10824.92159375
transcript.pyannote[2225].speaker SPEAKER_19
transcript.pyannote[2225].start 10825.20846875
transcript.pyannote[2225].end 10827.75659375
transcript.pyannote[2226].speaker SPEAKER_19
transcript.pyannote[2226].start 10827.99284375
transcript.pyannote[2226].end 10838.32034375
transcript.pyannote[2227].speaker SPEAKER_19
transcript.pyannote[2227].start 10838.43846875
transcript.pyannote[2227].end 10860.94971875
transcript.pyannote[2228].speaker SPEAKER_19
transcript.pyannote[2228].start 10861.33784375
transcript.pyannote[2228].end 10889.63721875
transcript.pyannote[2229].speaker SPEAKER_19
transcript.pyannote[2229].start 10889.85659375
transcript.pyannote[2229].end 10899.10409375
transcript.pyannote[2230].speaker SPEAKER_19
transcript.pyannote[2230].start 10900.53846875
transcript.pyannote[2230].end 10926.22221875
transcript.pyannote[2231].speaker SPEAKER_19
transcript.pyannote[2231].start 10926.77909375
transcript.pyannote[2231].end 10938.20346875
transcript.pyannote[2232].speaker SPEAKER_19
transcript.pyannote[2232].start 10938.84471875
transcript.pyannote[2232].end 10943.55284375
transcript.pyannote[2233].speaker SPEAKER_19
transcript.pyannote[2233].start 10943.83971875
transcript.pyannote[2233].end 10977.65721875
transcript.pyannote[2234].speaker SPEAKER_19
transcript.pyannote[2234].start 10977.85971875
transcript.pyannote[2234].end 10992.89534375
transcript.pyannote[2235].speaker SPEAKER_19
transcript.pyannote[2235].start 10993.16534375
transcript.pyannote[2235].end 11030.23971875
transcript.pyannote[2236].speaker SPEAKER_19
transcript.pyannote[2236].start 11030.49284375
transcript.pyannote[2236].end 11034.50909375
transcript.pyannote[2237].speaker SPEAKER_19
transcript.pyannote[2237].start 11034.82971875
transcript.pyannote[2237].end 11039.52096875
transcript.pyannote[2238].speaker SPEAKER_19
transcript.pyannote[2238].start 11039.63909375
transcript.pyannote[2238].end 11043.25034375
transcript.pyannote[2239].speaker SPEAKER_19
transcript.pyannote[2239].start 11044.07721875
transcript.pyannote[2239].end 11044.51596875
transcript.pyannote[2240].speaker SPEAKER_19
transcript.pyannote[2240].start 11044.95471875
transcript.pyannote[2240].end 11046.28784375
transcript.pyannote[2241].speaker SPEAKER_19
transcript.pyannote[2241].start 11046.62534375
transcript.pyannote[2241].end 11053.81409375
transcript.pyannote[2242].speaker SPEAKER_19
transcript.pyannote[2242].start 11053.91534375
transcript.pyannote[2242].end 11056.26096875
transcript.pyannote[2243].speaker SPEAKER_19
transcript.pyannote[2243].start 11056.58159375
transcript.pyannote[2243].end 11059.19721875
transcript.pyannote[2244].speaker SPEAKER_19
transcript.pyannote[2244].start 11060.22659375
transcript.pyannote[2244].end 11061.72846875
transcript.pyannote[2245].speaker SPEAKER_19
transcript.pyannote[2245].start 11062.01534375
transcript.pyannote[2245].end 11072.49471875
transcript.pyannote[2246].speaker SPEAKER_00
transcript.pyannote[2246].start 11062.60596875
transcript.pyannote[2246].end 11063.04471875
transcript.pyannote[2247].speaker SPEAKER_23
transcript.pyannote[2247].start 11072.96721875
transcript.pyannote[2247].end 11076.08909375
transcript.pyannote[2248].speaker SPEAKER_23
transcript.pyannote[2248].start 11076.27471875
transcript.pyannote[2248].end 11079.37971875
transcript.pyannote[2249].speaker SPEAKER_19
transcript.pyannote[2249].start 11077.54034375
transcript.pyannote[2249].end 11078.11409375
transcript.pyannote[2250].speaker SPEAKER_00
transcript.pyannote[2250].start 11078.11409375
transcript.pyannote[2250].end 11078.21534375
transcript.pyannote[2251].speaker SPEAKER_23
transcript.pyannote[2251].start 11079.61596875
transcript.pyannote[2251].end 11089.75784375
transcript.pyannote[2252].speaker SPEAKER_19
transcript.pyannote[2252].start 11090.01096875
transcript.pyannote[2252].end 11090.43284375
transcript.pyannote[2253].speaker SPEAKER_19
transcript.pyannote[2253].start 11090.51721875
transcript.pyannote[2253].end 11113.16346875
transcript.pyannote[2254].speaker SPEAKER_19
transcript.pyannote[2254].start 11113.55159375
transcript.pyannote[2254].end 11125.83659375
transcript.pyannote[2255].speaker SPEAKER_23
transcript.pyannote[2255].start 11126.61284375
transcript.pyannote[2255].end 11130.19034375
transcript.pyannote[2256].speaker SPEAKER_23
transcript.pyannote[2256].start 11130.22409375
transcript.pyannote[2256].end 11133.27846875
transcript.pyannote[2257].speaker SPEAKER_23
transcript.pyannote[2257].start 11133.53159375
transcript.pyannote[2257].end 11137.58159375
transcript.pyannote[2258].speaker SPEAKER_39
transcript.pyannote[2258].start 11169.49221875
transcript.pyannote[2258].end 11170.50471875
transcript.pyannote[2259].speaker SPEAKER_39
transcript.pyannote[2259].start 11172.41159375
transcript.pyannote[2259].end 11174.43659375
transcript.pyannote[2260].speaker SPEAKER_39
transcript.pyannote[2260].start 11174.72346875
transcript.pyannote[2260].end 11186.01284375
transcript.pyannote[2261].speaker SPEAKER_26
transcript.pyannote[2261].start 21424.22721875
transcript.pyannote[2261].end 21426.65721875
transcript.pyannote[2262].speaker SPEAKER_26
transcript.pyannote[2262].start 21427.12971875
transcript.pyannote[2262].end 21429.42471875
transcript.pyannote[2263].speaker SPEAKER_26
transcript.pyannote[2263].start 21429.86346875
transcript.pyannote[2263].end 21433.79534375
transcript.pyannote[2264].speaker SPEAKER_26
transcript.pyannote[2264].start 21434.74034375
transcript.pyannote[2264].end 21435.82034375
transcript.pyannote[2265].speaker SPEAKER_04
transcript.pyannote[2265].start 21443.80221875
transcript.pyannote[2265].end 21446.28284375
transcript.pyannote[2266].speaker SPEAKER_04
transcript.pyannote[2266].start 21446.77221875
transcript.pyannote[2266].end 21449.13471875
transcript.pyannote[2267].speaker SPEAKER_26
transcript.pyannote[2267].start 21449.65784375
transcript.pyannote[2267].end 21451.73346875
transcript.pyannote[2268].speaker SPEAKER_26
transcript.pyannote[2268].start 21453.13409375
transcript.pyannote[2268].end 21454.45034375
transcript.pyannote[2269].speaker SPEAKER_26
transcript.pyannote[2269].start 21455.46284375
transcript.pyannote[2269].end 21456.03659375
transcript.pyannote[2270].speaker SPEAKER_04
transcript.pyannote[2270].start 21465.85784375
transcript.pyannote[2270].end 21467.83221875
transcript.pyannote[2271].speaker SPEAKER_04
transcript.pyannote[2271].start 21468.00096875
transcript.pyannote[2271].end 21468.03471875
transcript.pyannote[2272].speaker SPEAKER_04
transcript.pyannote[2272].start 21468.11909375
transcript.pyannote[2272].end 21471.98346875
transcript.pyannote[2273].speaker SPEAKER_33
transcript.pyannote[2273].start 21469.09784375
transcript.pyannote[2273].end 21469.62096875
transcript.pyannote[2274].speaker SPEAKER_04
transcript.pyannote[2274].start 21472.47284375
transcript.pyannote[2274].end 21474.05909375
transcript.pyannote[2275].speaker SPEAKER_04
transcript.pyannote[2275].start 21474.46409375
transcript.pyannote[2275].end 21476.91096875
transcript.pyannote[2276].speaker SPEAKER_04
transcript.pyannote[2276].start 21477.36659375
transcript.pyannote[2276].end 21479.15534375
transcript.pyannote[2277].speaker SPEAKER_04
transcript.pyannote[2277].start 21479.35784375
transcript.pyannote[2277].end 21486.02346875
transcript.pyannote[2278].speaker SPEAKER_04
transcript.pyannote[2278].start 21486.25971875
transcript.pyannote[2278].end 21490.24221875
transcript.pyannote[2279].speaker SPEAKER_04
transcript.pyannote[2279].start 21490.41096875
transcript.pyannote[2279].end 21491.86221875
transcript.pyannote[2280].speaker SPEAKER_04
transcript.pyannote[2280].start 21492.13221875
transcript.pyannote[2280].end 21493.73534375
transcript.pyannote[2281].speaker SPEAKER_04
transcript.pyannote[2281].start 21494.07284375
transcript.pyannote[2281].end 21497.61659375
transcript.pyannote[2282].speaker SPEAKER_04
transcript.pyannote[2282].start 21497.95409375
transcript.pyannote[2282].end 21500.78909375
transcript.pyannote[2283].speaker SPEAKER_04
transcript.pyannote[2283].start 21500.90721875
transcript.pyannote[2283].end 21508.19721875
transcript.pyannote[2284].speaker SPEAKER_04
transcript.pyannote[2284].start 21508.72034375
transcript.pyannote[2284].end 21510.89721875
transcript.pyannote[2285].speaker SPEAKER_04
transcript.pyannote[2285].start 21511.38659375
transcript.pyannote[2285].end 21517.51221875
transcript.pyannote[2286].speaker SPEAKER_04
transcript.pyannote[2286].start 21517.90034375
transcript.pyannote[2286].end 21529.45971875
transcript.pyannote[2287].speaker SPEAKER_04
transcript.pyannote[2287].start 21529.66221875
transcript.pyannote[2287].end 21530.64096875
transcript.pyannote[2288].speaker SPEAKER_04
transcript.pyannote[2288].start 21530.82659375
transcript.pyannote[2288].end 21535.68659375
transcript.pyannote[2289].speaker SPEAKER_04
transcript.pyannote[2289].start 21535.88909375
transcript.pyannote[2289].end 21543.29721875
transcript.pyannote[2290].speaker SPEAKER_04
transcript.pyannote[2290].start 21543.61784375
transcript.pyannote[2290].end 21544.51221875
transcript.pyannote[2291].speaker SPEAKER_04
transcript.pyannote[2291].start 21544.66409375
transcript.pyannote[2291].end 21556.83096875
transcript.pyannote[2292].speaker SPEAKER_04
transcript.pyannote[2292].start 21557.30346875
transcript.pyannote[2292].end 21557.69159375
transcript.pyannote[2293].speaker SPEAKER_04
transcript.pyannote[2293].start 21557.89409375
transcript.pyannote[2293].end 21565.82534375
transcript.pyannote[2294].speaker SPEAKER_04
transcript.pyannote[2294].start 21566.12909375
transcript.pyannote[2294].end 21573.60471875
transcript.pyannote[2295].speaker SPEAKER_07
transcript.pyannote[2295].start 21574.12784375
transcript.pyannote[2295].end 21598.71471875
transcript.pyannote[2296].speaker SPEAKER_07
transcript.pyannote[2296].start 21598.90034375
transcript.pyannote[2296].end 21611.75909375
transcript.pyannote[2297].speaker SPEAKER_04
transcript.pyannote[2297].start 21603.70971875
transcript.pyannote[2297].end 21604.97534375
transcript.pyannote[2298].speaker SPEAKER_00
transcript.pyannote[2298].start 21604.97534375
transcript.pyannote[2298].end 21605.97096875
transcript.pyannote[2299].speaker SPEAKER_07
transcript.pyannote[2299].start 21611.94471875
transcript.pyannote[2299].end 21613.96971875
transcript.pyannote[2300].speaker SPEAKER_07
transcript.pyannote[2300].start 21614.20596875
transcript.pyannote[2300].end 21617.42909375
transcript.pyannote[2301].speaker SPEAKER_07
transcript.pyannote[2301].start 21617.73284375
transcript.pyannote[2301].end 21624.46596875
transcript.pyannote[2302].speaker SPEAKER_07
transcript.pyannote[2302].start 21624.70221875
transcript.pyannote[2302].end 21630.30471875
transcript.pyannote[2303].speaker SPEAKER_04
transcript.pyannote[2303].start 21631.09784375
transcript.pyannote[2303].end 21640.58159375
transcript.pyannote[2304].speaker SPEAKER_04
transcript.pyannote[2304].start 21640.88534375
transcript.pyannote[2304].end 21641.93159375
transcript.pyannote[2305].speaker SPEAKER_04
transcript.pyannote[2305].start 21642.57284375
transcript.pyannote[2305].end 21674.48346875
transcript.pyannote[2306].speaker SPEAKER_33
transcript.pyannote[2306].start 21655.44846875
transcript.pyannote[2306].end 21655.54971875
transcript.pyannote[2307].speaker SPEAKER_00
transcript.pyannote[2307].start 21655.54971875
transcript.pyannote[2307].end 21655.61721875
transcript.pyannote[2308].speaker SPEAKER_33
transcript.pyannote[2308].start 21655.61721875
transcript.pyannote[2308].end 21655.68471875
transcript.pyannote[2309].speaker SPEAKER_00
transcript.pyannote[2309].start 21655.68471875
transcript.pyannote[2309].end 21655.73534375
transcript.pyannote[2310].speaker SPEAKER_07
transcript.pyannote[2310].start 21674.56784375
transcript.pyannote[2310].end 21679.10721875
transcript.pyannote[2311].speaker SPEAKER_04
transcript.pyannote[2311].start 21679.30971875
transcript.pyannote[2311].end 21683.17409375
transcript.pyannote[2312].speaker SPEAKER_07
transcript.pyannote[2312].start 21682.02659375
transcript.pyannote[2312].end 21682.97159375
transcript.pyannote[2313].speaker SPEAKER_07
transcript.pyannote[2313].start 21683.02221875
transcript.pyannote[2313].end 21683.08971875
transcript.pyannote[2314].speaker SPEAKER_07
transcript.pyannote[2314].start 21683.12346875
transcript.pyannote[2314].end 21683.54534375
transcript.pyannote[2315].speaker SPEAKER_04
transcript.pyannote[2315].start 21683.19096875
transcript.pyannote[2315].end 21690.91971875
transcript.pyannote[2316].speaker SPEAKER_07
transcript.pyannote[2316].start 21691.00409375
transcript.pyannote[2316].end 21696.03284375
transcript.pyannote[2317].speaker SPEAKER_07
transcript.pyannote[2317].start 21696.11721875
transcript.pyannote[2317].end 21696.53909375
transcript.pyannote[2318].speaker SPEAKER_07
transcript.pyannote[2318].start 21696.82596875
transcript.pyannote[2318].end 21698.15909375
transcript.pyannote[2319].speaker SPEAKER_07
transcript.pyannote[2319].start 21698.44596875
transcript.pyannote[2319].end 21701.28096875
transcript.pyannote[2320].speaker SPEAKER_07
transcript.pyannote[2320].start 21701.38221875
transcript.pyannote[2320].end 21704.01471875
transcript.pyannote[2321].speaker SPEAKER_07
transcript.pyannote[2321].start 21704.33534375
transcript.pyannote[2321].end 21708.82409375
transcript.pyannote[2322].speaker SPEAKER_07
transcript.pyannote[2322].start 21709.09409375
transcript.pyannote[2322].end 21728.14596875
transcript.pyannote[2323].speaker SPEAKER_00
transcript.pyannote[2323].start 21711.57471875
transcript.pyannote[2323].end 21711.77721875
transcript.pyannote[2324].speaker SPEAKER_33
transcript.pyannote[2324].start 21711.77721875
transcript.pyannote[2324].end 21711.79409375
transcript.pyannote[2325].speaker SPEAKER_00
transcript.pyannote[2325].start 21711.79409375
transcript.pyannote[2325].end 21711.87846875
transcript.pyannote[2326].speaker SPEAKER_04
transcript.pyannote[2326].start 21728.38221875
transcript.pyannote[2326].end 21745.61159375
transcript.pyannote[2327].speaker SPEAKER_00
transcript.pyannote[2327].start 21736.85346875
transcript.pyannote[2327].end 21737.14034375
transcript.pyannote[2328].speaker SPEAKER_03
transcript.pyannote[2328].start 21737.14034375
transcript.pyannote[2328].end 21737.37659375
transcript.pyannote[2329].speaker SPEAKER_00
transcript.pyannote[2329].start 21737.37659375
transcript.pyannote[2329].end 21737.44409375
transcript.pyannote[2330].speaker SPEAKER_07
transcript.pyannote[2330].start 21745.76346875
transcript.pyannote[2330].end 21754.62284375
transcript.pyannote[2331].speaker SPEAKER_07
transcript.pyannote[2331].start 21754.92659375
transcript.pyannote[2331].end 21758.14971875
transcript.pyannote[2332].speaker SPEAKER_07
transcript.pyannote[2332].start 21758.35221875
transcript.pyannote[2332].end 21772.12221875
transcript.pyannote[2333].speaker SPEAKER_07
transcript.pyannote[2333].start 21772.27409375
transcript.pyannote[2333].end 21777.48846875
transcript.pyannote[2334].speaker SPEAKER_04
transcript.pyannote[2334].start 21777.89346875
transcript.pyannote[2334].end 21789.87471875
transcript.pyannote[2335].speaker SPEAKER_07
transcript.pyannote[2335].start 21781.92659375
transcript.pyannote[2335].end 21782.26409375
transcript.pyannote[2336].speaker SPEAKER_00
transcript.pyannote[2336].start 21782.26409375
transcript.pyannote[2336].end 21782.38221875
transcript.pyannote[2337].speaker SPEAKER_07
transcript.pyannote[2337].start 21784.86284375
transcript.pyannote[2337].end 21785.47034375
transcript.pyannote[2338].speaker SPEAKER_00
transcript.pyannote[2338].start 21788.79471875
transcript.pyannote[2338].end 21789.21659375
transcript.pyannote[2339].speaker SPEAKER_04
transcript.pyannote[2339].start 21790.07721875
transcript.pyannote[2339].end 21796.70909375
transcript.pyannote[2340].speaker SPEAKER_04
transcript.pyannote[2340].start 21797.01284375
transcript.pyannote[2340].end 21798.32909375
transcript.pyannote[2341].speaker SPEAKER_04
transcript.pyannote[2341].start 21798.39659375
transcript.pyannote[2341].end 21806.36159375
transcript.pyannote[2342].speaker SPEAKER_07
transcript.pyannote[2342].start 21803.77971875
transcript.pyannote[2342].end 21803.83034375
transcript.pyannote[2343].speaker SPEAKER_07
transcript.pyannote[2343].start 21806.36159375
transcript.pyannote[2343].end 21817.71846875
transcript.pyannote[2344].speaker SPEAKER_07
transcript.pyannote[2344].start 21818.03909375
transcript.pyannote[2344].end 21830.42534375
transcript.pyannote[2345].speaker SPEAKER_07
transcript.pyannote[2345].start 21830.99909375
transcript.pyannote[2345].end 21834.72846875
transcript.pyannote[2346].speaker SPEAKER_04
transcript.pyannote[2346].start 21835.23471875
transcript.pyannote[2346].end 21867.95534375
transcript.pyannote[2347].speaker SPEAKER_05
transcript.pyannote[2347].start 21862.21784375
transcript.pyannote[2347].end 21862.62284375
transcript.pyannote[2348].speaker SPEAKER_07
transcript.pyannote[2348].start 21867.65159375
transcript.pyannote[2348].end 21869.15346875
transcript.pyannote[2349].speaker SPEAKER_04
transcript.pyannote[2349].start 21868.46159375
transcript.pyannote[2349].end 21870.63846875
transcript.pyannote[2350].speaker SPEAKER_07
transcript.pyannote[2350].start 21870.63846875
transcript.pyannote[2350].end 21871.76909375
transcript.pyannote[2351].speaker SPEAKER_26
transcript.pyannote[2351].start 21871.76909375
transcript.pyannote[2351].end 21871.80284375
transcript.pyannote[2352].speaker SPEAKER_04
transcript.pyannote[2352].start 21872.42721875
transcript.pyannote[2352].end 21874.01346875
transcript.pyannote[2353].speaker SPEAKER_26
transcript.pyannote[2353].start 21875.85284375
transcript.pyannote[2353].end 21877.16909375
transcript.pyannote[2354].speaker SPEAKER_04
transcript.pyannote[2354].start 21892.59284375
transcript.pyannote[2354].end 21892.64346875
transcript.pyannote[2355].speaker SPEAKER_27
transcript.pyannote[2355].start 21892.64346875
transcript.pyannote[2355].end 21893.18346875
transcript.pyannote[2356].speaker SPEAKER_04
transcript.pyannote[2356].start 21893.18346875
transcript.pyannote[2356].end 21903.96659375
transcript.pyannote[2357].speaker SPEAKER_04
transcript.pyannote[2357].start 21904.33784375
transcript.pyannote[2357].end 21907.42596875
transcript.pyannote[2358].speaker SPEAKER_04
transcript.pyannote[2358].start 21907.81409375
transcript.pyannote[2358].end 21913.26471875
transcript.pyannote[2359].speaker SPEAKER_04
transcript.pyannote[2359].start 21913.53471875
transcript.pyannote[2359].end 21916.60596875
transcript.pyannote[2360].speaker SPEAKER_27
transcript.pyannote[2360].start 21917.44971875
transcript.pyannote[2360].end 21919.00221875
transcript.pyannote[2361].speaker SPEAKER_27
transcript.pyannote[2361].start 21919.30596875
transcript.pyannote[2361].end 21924.08159375
transcript.pyannote[2362].speaker SPEAKER_27
transcript.pyannote[2362].start 21924.19971875
transcript.pyannote[2362].end 21929.88659375
transcript.pyannote[2363].speaker SPEAKER_27
transcript.pyannote[2363].start 21929.98784375
transcript.pyannote[2363].end 21931.69221875
transcript.pyannote[2364].speaker SPEAKER_27
transcript.pyannote[2364].start 21932.04659375
transcript.pyannote[2364].end 21933.90284375
transcript.pyannote[2365].speaker SPEAKER_27
transcript.pyannote[2365].start 21934.39221875
transcript.pyannote[2365].end 21937.22721875
transcript.pyannote[2366].speaker SPEAKER_27
transcript.pyannote[2366].start 21937.86846875
transcript.pyannote[2366].end 21940.01159375
transcript.pyannote[2367].speaker SPEAKER_27
transcript.pyannote[2367].start 21940.31534375
transcript.pyannote[2367].end 21942.89721875
transcript.pyannote[2368].speaker SPEAKER_27
transcript.pyannote[2368].start 21943.21784375
transcript.pyannote[2368].end 21946.13721875
transcript.pyannote[2369].speaker SPEAKER_27
transcript.pyannote[2369].start 21946.28909375
transcript.pyannote[2369].end 21948.85409375
transcript.pyannote[2370].speaker SPEAKER_27
transcript.pyannote[2370].start 21948.90471875
transcript.pyannote[2370].end 21950.72721875
transcript.pyannote[2371].speaker SPEAKER_04
transcript.pyannote[2371].start 21951.19971875
transcript.pyannote[2371].end 21951.30096875
transcript.pyannote[2372].speaker SPEAKER_04
transcript.pyannote[2372].start 21951.65534375
transcript.pyannote[2372].end 21977.84534375
transcript.pyannote[2373].speaker SPEAKER_00
transcript.pyannote[2373].start 21962.28659375
transcript.pyannote[2373].end 21962.77596875
transcript.pyannote[2374].speaker SPEAKER_06
transcript.pyannote[2374].start 21966.60659375
transcript.pyannote[2374].end 21967.07909375
transcript.pyannote[2375].speaker SPEAKER_06
transcript.pyannote[2375].start 21979.97159375
transcript.pyannote[2375].end 21985.94534375
transcript.pyannote[2376].speaker SPEAKER_04
transcript.pyannote[2376].start 21980.12346875
transcript.pyannote[2376].end 21980.37659375
transcript.pyannote[2377].speaker SPEAKER_06
transcript.pyannote[2377].start 21986.14784375
transcript.pyannote[2377].end 21993.03284375
transcript.pyannote[2378].speaker SPEAKER_04
transcript.pyannote[2378].start 21993.03284375
transcript.pyannote[2378].end 21993.30284375
transcript.pyannote[2379].speaker SPEAKER_06
transcript.pyannote[2379].start 21993.30284375
transcript.pyannote[2379].end 21993.43784375
transcript.pyannote[2380].speaker SPEAKER_06
transcript.pyannote[2380].start 21993.52221875
transcript.pyannote[2380].end 21993.58971875
transcript.pyannote[2381].speaker SPEAKER_04
transcript.pyannote[2381].start 21993.58971875
transcript.pyannote[2381].end 21993.89346875
transcript.pyannote[2382].speaker SPEAKER_06
transcript.pyannote[2382].start 21993.89346875
transcript.pyannote[2382].end 21993.97784375
transcript.pyannote[2383].speaker SPEAKER_04
transcript.pyannote[2383].start 21993.97784375
transcript.pyannote[2383].end 22018.02471875
transcript.pyannote[2384].speaker SPEAKER_04
transcript.pyannote[2384].start 22018.75034375
transcript.pyannote[2384].end 22039.11846875
transcript.pyannote[2385].speaker SPEAKER_06
transcript.pyannote[2385].start 22021.21409375
transcript.pyannote[2385].end 22021.38284375
transcript.pyannote[2386].speaker SPEAKER_06
transcript.pyannote[2386].start 22028.53784375
transcript.pyannote[2386].end 22028.90909375
transcript.pyannote[2387].speaker SPEAKER_04
transcript.pyannote[2387].start 22039.20284375
transcript.pyannote[2387].end 22039.67534375
transcript.pyannote[2388].speaker SPEAKER_08
transcript.pyannote[2388].start 22039.67534375
transcript.pyannote[2388].end 22043.26971875
transcript.pyannote[2389].speaker SPEAKER_04
transcript.pyannote[2389].start 22039.75971875
transcript.pyannote[2389].end 22040.23221875
transcript.pyannote[2390].speaker SPEAKER_08
transcript.pyannote[2390].start 22043.47221875
transcript.pyannote[2390].end 22053.71534375
transcript.pyannote[2391].speaker SPEAKER_08
transcript.pyannote[2391].start 22053.79971875
transcript.pyannote[2391].end 22058.57534375
transcript.pyannote[2392].speaker SPEAKER_15
transcript.pyannote[2392].start 22053.90096875
transcript.pyannote[2392].end 22054.20471875
transcript.pyannote[2393].speaker SPEAKER_08
transcript.pyannote[2393].start 22058.71034375
transcript.pyannote[2393].end 22063.43534375
transcript.pyannote[2394].speaker SPEAKER_08
transcript.pyannote[2394].start 22063.62096875
transcript.pyannote[2394].end 22065.00471875
transcript.pyannote[2395].speaker SPEAKER_08
transcript.pyannote[2395].start 22065.25784375
transcript.pyannote[2395].end 22066.57409375
transcript.pyannote[2396].speaker SPEAKER_08
transcript.pyannote[2396].start 22066.62471875
transcript.pyannote[2396].end 22068.24471875
transcript.pyannote[2397].speaker SPEAKER_08
transcript.pyannote[2397].start 22068.39659375
transcript.pyannote[2397].end 22070.74221875
transcript.pyannote[2398].speaker SPEAKER_08
transcript.pyannote[2398].start 22071.28221875
transcript.pyannote[2398].end 22073.40846875
transcript.pyannote[2399].speaker SPEAKER_08
transcript.pyannote[2399].start 22073.79659375
transcript.pyannote[2399].end 22084.00596875
transcript.pyannote[2400].speaker SPEAKER_04
transcript.pyannote[2400].start 22084.09034375
transcript.pyannote[2400].end 22093.47284375
transcript.pyannote[2401].speaker SPEAKER_04
transcript.pyannote[2401].start 22093.59096875
transcript.pyannote[2401].end 22100.15534375
transcript.pyannote[2402].speaker SPEAKER_04
transcript.pyannote[2402].start 22100.39159375
transcript.pyannote[2402].end 22103.96909375
transcript.pyannote[2403].speaker SPEAKER_04
transcript.pyannote[2403].start 22104.67784375
transcript.pyannote[2403].end 22104.69471875
transcript.pyannote[2404].speaker SPEAKER_27
transcript.pyannote[2404].start 22104.69471875
transcript.pyannote[2404].end 22109.47034375
transcript.pyannote[2405].speaker SPEAKER_27
transcript.pyannote[2405].start 22109.68971875
transcript.pyannote[2405].end 22111.20846875
transcript.pyannote[2406].speaker SPEAKER_27
transcript.pyannote[2406].start 22111.34346875
transcript.pyannote[2406].end 22112.42346875
transcript.pyannote[2407].speaker SPEAKER_27
transcript.pyannote[2407].start 22112.57534375
transcript.pyannote[2407].end 22115.47784375
transcript.pyannote[2408].speaker SPEAKER_27
transcript.pyannote[2408].start 22115.84909375
transcript.pyannote[2408].end 22118.70096875
transcript.pyannote[2409].speaker SPEAKER_27
transcript.pyannote[2409].start 22118.92034375
transcript.pyannote[2409].end 22126.00784375
transcript.pyannote[2410].speaker SPEAKER_04
transcript.pyannote[2410].start 22126.34534375
transcript.pyannote[2410].end 22126.61534375
transcript.pyannote[2411].speaker SPEAKER_04
transcript.pyannote[2411].start 22127.00346875
transcript.pyannote[2411].end 22129.11284375
transcript.pyannote[2412].speaker SPEAKER_04
transcript.pyannote[2412].start 22129.61909375
transcript.pyannote[2412].end 22130.17596875
transcript.pyannote[2413].speaker SPEAKER_04
transcript.pyannote[2413].start 22130.39534375
transcript.pyannote[2413].end 22131.39096875
transcript.pyannote[2414].speaker SPEAKER_26
transcript.pyannote[2414].start 22132.09971875
transcript.pyannote[2414].end 22133.09534375
transcript.pyannote[2415].speaker SPEAKER_04
transcript.pyannote[2415].start 22144.26659375
transcript.pyannote[2415].end 22156.02846875
transcript.pyannote[2416].speaker SPEAKER_33
transcript.pyannote[2416].start 22152.18096875
transcript.pyannote[2416].end 22152.61971875
transcript.pyannote[2417].speaker SPEAKER_33
transcript.pyannote[2417].start 22154.15534375
transcript.pyannote[2417].end 22154.56034375
transcript.pyannote[2418].speaker SPEAKER_04
transcript.pyannote[2418].start 22156.18034375
transcript.pyannote[2418].end 22159.43721875
transcript.pyannote[2419].speaker SPEAKER_04
transcript.pyannote[2419].start 22159.55534375
transcript.pyannote[2419].end 22160.34846875
transcript.pyannote[2420].speaker SPEAKER_04
transcript.pyannote[2420].start 22160.58471875
transcript.pyannote[2420].end 22167.14909375
transcript.pyannote[2421].speaker SPEAKER_04
transcript.pyannote[2421].start 22167.26721875
transcript.pyannote[2421].end 22172.71784375
transcript.pyannote[2422].speaker SPEAKER_29
transcript.pyannote[2422].start 22173.29159375
transcript.pyannote[2422].end 22196.59596875
transcript.pyannote[2423].speaker SPEAKER_04
transcript.pyannote[2423].start 22196.96721875
transcript.pyannote[2423].end 22203.29534375
transcript.pyannote[2424].speaker SPEAKER_29
transcript.pyannote[2424].start 22203.85221875
transcript.pyannote[2424].end 22220.08596875
transcript.pyannote[2425].speaker SPEAKER_00
transcript.pyannote[2425].start 22212.50909375
transcript.pyannote[2425].end 22212.69471875
transcript.pyannote[2426].speaker SPEAKER_29
transcript.pyannote[2426].start 22220.33909375
transcript.pyannote[2426].end 22226.04284375
transcript.pyannote[2427].speaker SPEAKER_04
transcript.pyannote[2427].start 22226.04284375
transcript.pyannote[2427].end 22235.13846875
transcript.pyannote[2428].speaker SPEAKER_29
transcript.pyannote[2428].start 22235.67846875
transcript.pyannote[2428].end 22254.66284375
transcript.pyannote[2429].speaker SPEAKER_04
transcript.pyannote[2429].start 22254.91596875
transcript.pyannote[2429].end 22261.44659375
transcript.pyannote[2430].speaker SPEAKER_04
transcript.pyannote[2430].start 22261.66596875
transcript.pyannote[2430].end 22265.61471875
transcript.pyannote[2431].speaker SPEAKER_04
transcript.pyannote[2431].start 22265.98596875
transcript.pyannote[2431].end 22268.21346875
transcript.pyannote[2432].speaker SPEAKER_26
transcript.pyannote[2432].start 22268.29784375
transcript.pyannote[2432].end 22268.95596875
transcript.pyannote[2433].speaker SPEAKER_04
transcript.pyannote[2433].start 22269.10784375
transcript.pyannote[2433].end 22270.60971875
transcript.pyannote[2434].speaker SPEAKER_26
transcript.pyannote[2434].start 22271.36909375
transcript.pyannote[2434].end 22272.65159375
transcript.pyannote[2435].speaker SPEAKER_04
transcript.pyannote[2435].start 22286.10096875
transcript.pyannote[2435].end 22291.26471875
transcript.pyannote[2436].speaker SPEAKER_04
transcript.pyannote[2436].start 22291.56846875
transcript.pyannote[2436].end 22293.28971875
transcript.pyannote[2437].speaker SPEAKER_04
transcript.pyannote[2437].start 22293.52596875
transcript.pyannote[2437].end 22295.88846875
transcript.pyannote[2438].speaker SPEAKER_04
transcript.pyannote[2438].start 22296.12471875
transcript.pyannote[2438].end 22299.24659375
transcript.pyannote[2439].speaker SPEAKER_25
transcript.pyannote[2439].start 22299.78659375
transcript.pyannote[2439].end 22307.81909375
transcript.pyannote[2440].speaker SPEAKER_25
transcript.pyannote[2440].start 22308.20721875
transcript.pyannote[2440].end 22321.03221875
transcript.pyannote[2441].speaker SPEAKER_04
transcript.pyannote[2441].start 22321.42034375
transcript.pyannote[2441].end 22337.97471875
transcript.pyannote[2442].speaker SPEAKER_04
transcript.pyannote[2442].start 22338.02534375
transcript.pyannote[2442].end 22357.92096875
transcript.pyannote[2443].speaker SPEAKER_06
transcript.pyannote[2443].start 22357.92096875
transcript.pyannote[2443].end 22357.93784375
transcript.pyannote[2444].speaker SPEAKER_04
transcript.pyannote[2444].start 22358.47784375
transcript.pyannote[2444].end 22358.96721875
transcript.pyannote[2445].speaker SPEAKER_06
transcript.pyannote[2445].start 22358.96721875
transcript.pyannote[2445].end 22361.83596875
transcript.pyannote[2446].speaker SPEAKER_06
transcript.pyannote[2446].start 22362.40971875
transcript.pyannote[2446].end 22366.02096875
transcript.pyannote[2447].speaker SPEAKER_06
transcript.pyannote[2447].start 22366.44284375
transcript.pyannote[2447].end 22368.87284375
transcript.pyannote[2448].speaker SPEAKER_06
transcript.pyannote[2448].start 22369.46346875
transcript.pyannote[2448].end 22370.62784375
transcript.pyannote[2449].speaker SPEAKER_06
transcript.pyannote[2449].start 22370.89784375
transcript.pyannote[2449].end 22374.00284375
transcript.pyannote[2450].speaker SPEAKER_06
transcript.pyannote[2450].start 22374.20534375
transcript.pyannote[2450].end 22377.07409375
transcript.pyannote[2451].speaker SPEAKER_06
transcript.pyannote[2451].start 22377.27659375
transcript.pyannote[2451].end 22377.81659375
transcript.pyannote[2452].speaker SPEAKER_06
transcript.pyannote[2452].start 22378.15409375
transcript.pyannote[2452].end 22382.62596875
transcript.pyannote[2453].speaker SPEAKER_06
transcript.pyannote[2453].start 22383.03096875
transcript.pyannote[2453].end 22386.00096875
transcript.pyannote[2454].speaker SPEAKER_06
transcript.pyannote[2454].start 22386.18659375
transcript.pyannote[2454].end 22389.05534375
transcript.pyannote[2455].speaker SPEAKER_06
transcript.pyannote[2455].start 22389.37596875
transcript.pyannote[2455].end 22391.99159375
transcript.pyannote[2456].speaker SPEAKER_04
transcript.pyannote[2456].start 22390.77659375
transcript.pyannote[2456].end 22396.00784375
transcript.pyannote[2457].speaker SPEAKER_04
transcript.pyannote[2457].start 22396.36221875
transcript.pyannote[2457].end 22427.66534375
transcript.pyannote[2458].speaker SPEAKER_04
transcript.pyannote[2458].start 22428.01971875
transcript.pyannote[2458].end 22441.62096875
transcript.pyannote[2459].speaker SPEAKER_04
transcript.pyannote[2459].start 22442.04284375
transcript.pyannote[2459].end 22455.37409375
transcript.pyannote[2460].speaker SPEAKER_04
transcript.pyannote[2460].start 22455.44159375
transcript.pyannote[2460].end 22482.94784375
transcript.pyannote[2461].speaker SPEAKER_04
transcript.pyannote[2461].start 22483.47096875
transcript.pyannote[2461].end 22483.87596875
transcript.pyannote[2462].speaker SPEAKER_06
transcript.pyannote[2462].start 22483.87596875
transcript.pyannote[2462].end 22483.89284375
transcript.pyannote[2463].speaker SPEAKER_04
transcript.pyannote[2463].start 22484.36534375
transcript.pyannote[2463].end 22484.65221875
transcript.pyannote[2464].speaker SPEAKER_06
transcript.pyannote[2464].start 22484.65221875
transcript.pyannote[2464].end 22486.27221875
transcript.pyannote[2465].speaker SPEAKER_04
transcript.pyannote[2465].start 22486.59284375
transcript.pyannote[2465].end 22486.60971875
transcript.pyannote[2466].speaker SPEAKER_06
transcript.pyannote[2466].start 22486.60971875
transcript.pyannote[2466].end 22495.84034375
transcript.pyannote[2467].speaker SPEAKER_06
transcript.pyannote[2467].start 22496.21159375
transcript.pyannote[2467].end 22508.22659375
transcript.pyannote[2468].speaker SPEAKER_00
transcript.pyannote[2468].start 22507.06221875
transcript.pyannote[2468].end 22507.16346875
transcript.pyannote[2469].speaker SPEAKER_00
transcript.pyannote[2469].start 22507.21409375
transcript.pyannote[2469].end 22507.41659375
transcript.pyannote[2470].speaker SPEAKER_06
transcript.pyannote[2470].start 22508.44596875
transcript.pyannote[2470].end 22516.96784375
transcript.pyannote[2471].speaker SPEAKER_00
transcript.pyannote[2471].start 22510.25159375
transcript.pyannote[2471].end 22510.58909375
transcript.pyannote[2472].speaker SPEAKER_04
transcript.pyannote[2472].start 22516.96784375
transcript.pyannote[2472].end 22517.05221875
transcript.pyannote[2473].speaker SPEAKER_06
transcript.pyannote[2473].start 22517.45721875
transcript.pyannote[2473].end 22517.50784375
transcript.pyannote[2474].speaker SPEAKER_04
transcript.pyannote[2474].start 22517.50784375
transcript.pyannote[2474].end 22524.19034375
transcript.pyannote[2475].speaker SPEAKER_33
transcript.pyannote[2475].start 22522.92471875
transcript.pyannote[2475].end 22523.41409375
transcript.pyannote[2476].speaker SPEAKER_04
transcript.pyannote[2476].start 22524.22409375
transcript.pyannote[2476].end 22524.30846875
transcript.pyannote[2477].speaker SPEAKER_04
transcript.pyannote[2477].start 22524.44346875
transcript.pyannote[2477].end 22553.18159375
transcript.pyannote[2478].speaker SPEAKER_04
transcript.pyannote[2478].start 22553.48534375
transcript.pyannote[2478].end 22555.61159375
transcript.pyannote[2479].speaker SPEAKER_04
transcript.pyannote[2479].start 22555.69596875
transcript.pyannote[2479].end 22557.77159375
transcript.pyannote[2480].speaker SPEAKER_04
transcript.pyannote[2480].start 22558.36221875
transcript.pyannote[2480].end 22558.95284375
transcript.pyannote[2481].speaker SPEAKER_04
transcript.pyannote[2481].start 22559.64471875
transcript.pyannote[2481].end 22561.56846875
transcript.pyannote[2482].speaker SPEAKER_04
transcript.pyannote[2482].start 22562.02409375
transcript.pyannote[2482].end 22562.96909375
transcript.pyannote[2483].speaker SPEAKER_26
transcript.pyannote[2483].start 22562.96909375
transcript.pyannote[2483].end 22563.18846875
transcript.pyannote[2484].speaker SPEAKER_26
transcript.pyannote[2484].start 22564.06596875
transcript.pyannote[2484].end 22564.82534375
transcript.pyannote[2485].speaker SPEAKER_04
transcript.pyannote[2485].start 22581.44721875
transcript.pyannote[2485].end 22601.59596875
transcript.pyannote[2486].speaker SPEAKER_00
transcript.pyannote[2486].start 22582.72971875
transcript.pyannote[2486].end 22583.94471875
transcript.pyannote[2487].speaker SPEAKER_04
transcript.pyannote[2487].start 22601.69721875
transcript.pyannote[2487].end 22621.99784375
transcript.pyannote[2488].speaker SPEAKER_35
transcript.pyannote[2488].start 22622.82471875
transcript.pyannote[2488].end 22627.98846875
transcript.pyannote[2489].speaker SPEAKER_35
transcript.pyannote[2489].start 22628.57909375
transcript.pyannote[2489].end 22630.23284375
transcript.pyannote[2490].speaker SPEAKER_35
transcript.pyannote[2490].start 22630.65471875
transcript.pyannote[2490].end 22633.74284375
transcript.pyannote[2491].speaker SPEAKER_35
transcript.pyannote[2491].start 22633.99596875
transcript.pyannote[2491].end 22636.89846875
transcript.pyannote[2492].speaker SPEAKER_35
transcript.pyannote[2492].start 22636.93221875
transcript.pyannote[2492].end 22637.75909375
transcript.pyannote[2493].speaker SPEAKER_35
transcript.pyannote[2493].start 22638.41721875
transcript.pyannote[2493].end 22639.61534375
transcript.pyannote[2494].speaker SPEAKER_35
transcript.pyannote[2494].start 22639.68284375
transcript.pyannote[2494].end 22641.48846875
transcript.pyannote[2495].speaker SPEAKER_35
transcript.pyannote[2495].start 22641.96096875
transcript.pyannote[2495].end 22644.96471875
transcript.pyannote[2496].speaker SPEAKER_35
transcript.pyannote[2496].start 22645.35284375
transcript.pyannote[2496].end 22645.97721875
transcript.pyannote[2497].speaker SPEAKER_35
transcript.pyannote[2497].start 22646.26409375
transcript.pyannote[2497].end 22648.30596875
transcript.pyannote[2498].speaker SPEAKER_35
transcript.pyannote[2498].start 22648.66034375
transcript.pyannote[2498].end 22651.54596875
transcript.pyannote[2499].speaker SPEAKER_35
transcript.pyannote[2499].start 22651.95096875
transcript.pyannote[2499].end 22653.53721875
transcript.pyannote[2500].speaker SPEAKER_35
transcript.pyannote[2500].start 22653.80721875
transcript.pyannote[2500].end 22655.68034375
transcript.pyannote[2501].speaker SPEAKER_35
transcript.pyannote[2501].start 22655.93346875
transcript.pyannote[2501].end 22659.78096875
transcript.pyannote[2502].speaker SPEAKER_35
transcript.pyannote[2502].start 22660.05096875
transcript.pyannote[2502].end 22661.83971875
transcript.pyannote[2503].speaker SPEAKER_35
transcript.pyannote[2503].start 22662.21096875
transcript.pyannote[2503].end 22663.54409375
transcript.pyannote[2504].speaker SPEAKER_35
transcript.pyannote[2504].start 22663.74659375
transcript.pyannote[2504].end 22665.60284375
transcript.pyannote[2505].speaker SPEAKER_35
transcript.pyannote[2505].start 22666.10909375
transcript.pyannote[2505].end 22666.78409375
transcript.pyannote[2506].speaker SPEAKER_04
transcript.pyannote[2506].start 22666.86846875
transcript.pyannote[2506].end 22672.31909375
transcript.pyannote[2507].speaker SPEAKER_04
transcript.pyannote[2507].start 22672.96034375
transcript.pyannote[2507].end 22674.04034375
transcript.pyannote[2508].speaker SPEAKER_04
transcript.pyannote[2508].start 22674.37784375
transcript.pyannote[2508].end 22680.13221875
transcript.pyannote[2509].speaker SPEAKER_35
transcript.pyannote[2509].start 22679.47409375
transcript.pyannote[2509].end 22683.03471875
transcript.pyannote[2510].speaker SPEAKER_35
transcript.pyannote[2510].start 22683.45659375
transcript.pyannote[2510].end 22685.32971875
transcript.pyannote[2511].speaker SPEAKER_35
transcript.pyannote[2511].start 22685.92034375
transcript.pyannote[2511].end 22692.58596875
transcript.pyannote[2512].speaker SPEAKER_04
transcript.pyannote[2512].start 22687.81034375
transcript.pyannote[2512].end 22687.96221875
transcript.pyannote[2513].speaker SPEAKER_04
transcript.pyannote[2513].start 22693.10909375
transcript.pyannote[2513].end 22708.24596875
transcript.pyannote[2514].speaker SPEAKER_04
transcript.pyannote[2514].start 22708.31346875
transcript.pyannote[2514].end 22718.20221875
transcript.pyannote[2515].speaker SPEAKER_35
transcript.pyannote[2515].start 22718.20221875
transcript.pyannote[2515].end 22718.23596875
transcript.pyannote[2516].speaker SPEAKER_04
transcript.pyannote[2516].start 22718.70846875
transcript.pyannote[2516].end 22718.74221875
transcript.pyannote[2517].speaker SPEAKER_35
transcript.pyannote[2517].start 22718.74221875
transcript.pyannote[2517].end 22720.56471875
transcript.pyannote[2518].speaker SPEAKER_35
transcript.pyannote[2518].start 22720.98659375
transcript.pyannote[2518].end 22724.53034375
transcript.pyannote[2519].speaker SPEAKER_35
transcript.pyannote[2519].start 22724.64846875
transcript.pyannote[2519].end 22726.42034375
transcript.pyannote[2520].speaker SPEAKER_35
transcript.pyannote[2520].start 22727.07846875
transcript.pyannote[2520].end 22727.17971875
transcript.pyannote[2521].speaker SPEAKER_35
transcript.pyannote[2521].start 22727.34846875
transcript.pyannote[2521].end 22728.51284375
transcript.pyannote[2522].speaker SPEAKER_35
transcript.pyannote[2522].start 22728.66471875
transcript.pyannote[2522].end 22730.95971875
transcript.pyannote[2523].speaker SPEAKER_35
transcript.pyannote[2523].start 22731.04409375
transcript.pyannote[2523].end 22732.47846875
transcript.pyannote[2524].speaker SPEAKER_35
transcript.pyannote[2524].start 22733.18721875
transcript.pyannote[2524].end 22735.26284375
transcript.pyannote[2525].speaker SPEAKER_35
transcript.pyannote[2525].start 22735.70159375
transcript.pyannote[2525].end 22736.05596875
transcript.pyannote[2526].speaker SPEAKER_35
transcript.pyannote[2526].start 22736.17409375
transcript.pyannote[2526].end 22737.97971875
transcript.pyannote[2527].speaker SPEAKER_33
transcript.pyannote[2527].start 22736.84909375
transcript.pyannote[2527].end 22738.23284375
transcript.pyannote[2528].speaker SPEAKER_35
transcript.pyannote[2528].start 22738.43534375
transcript.pyannote[2528].end 22740.24096875
transcript.pyannote[2529].speaker SPEAKER_35
transcript.pyannote[2529].start 22740.66284375
transcript.pyannote[2529].end 22744.45971875
transcript.pyannote[2530].speaker SPEAKER_04
transcript.pyannote[2530].start 22744.07159375
transcript.pyannote[2530].end 22746.77159375
transcript.pyannote[2531].speaker SPEAKER_35
transcript.pyannote[2531].start 22746.43409375
transcript.pyannote[2531].end 22751.86784375
transcript.pyannote[2532].speaker SPEAKER_35
transcript.pyannote[2532].start 22751.98596875
transcript.pyannote[2532].end 22752.39096875
transcript.pyannote[2533].speaker SPEAKER_35
transcript.pyannote[2533].start 22752.64409375
transcript.pyannote[2533].end 22754.33159375
transcript.pyannote[2534].speaker SPEAKER_35
transcript.pyannote[2534].start 22754.80409375
transcript.pyannote[2534].end 22757.48721875
transcript.pyannote[2535].speaker SPEAKER_35
transcript.pyannote[2535].start 22758.09471875
transcript.pyannote[2535].end 22762.60034375
transcript.pyannote[2536].speaker SPEAKER_35
transcript.pyannote[2536].start 22763.02221875
transcript.pyannote[2536].end 22763.05596875
transcript.pyannote[2537].speaker SPEAKER_04
transcript.pyannote[2537].start 22763.05596875
transcript.pyannote[2537].end 22763.14034375
transcript.pyannote[2538].speaker SPEAKER_35
transcript.pyannote[2538].start 22763.14034375
transcript.pyannote[2538].end 22763.19096875
transcript.pyannote[2539].speaker SPEAKER_04
transcript.pyannote[2539].start 22763.27534375
transcript.pyannote[2539].end 22770.70034375
transcript.pyannote[2540].speaker SPEAKER_35
transcript.pyannote[2540].start 22770.43034375
transcript.pyannote[2540].end 22774.46346875
transcript.pyannote[2541].speaker SPEAKER_35
transcript.pyannote[2541].start 22774.64909375
transcript.pyannote[2541].end 22775.56034375
transcript.pyannote[2542].speaker SPEAKER_35
transcript.pyannote[2542].start 22775.81346875
transcript.pyannote[2542].end 22777.66971875
transcript.pyannote[2543].speaker SPEAKER_35
transcript.pyannote[2543].start 22777.97346875
transcript.pyannote[2543].end 22780.99409375
transcript.pyannote[2544].speaker SPEAKER_35
transcript.pyannote[2544].start 22781.23034375
transcript.pyannote[2544].end 22784.30159375
transcript.pyannote[2545].speaker SPEAKER_04
transcript.pyannote[2545].start 22785.11159375
transcript.pyannote[2545].end 22785.16221875
transcript.pyannote[2546].speaker SPEAKER_04
transcript.pyannote[2546].start 22785.41534375
transcript.pyannote[2546].end 22803.99471875
transcript.pyannote[2547].speaker SPEAKER_35
transcript.pyannote[2547].start 22804.45034375
transcript.pyannote[2547].end 22805.41221875
transcript.pyannote[2548].speaker SPEAKER_35
transcript.pyannote[2548].start 22805.73284375
transcript.pyannote[2548].end 22815.45284375
transcript.pyannote[2549].speaker SPEAKER_35
transcript.pyannote[2549].start 22815.55409375
transcript.pyannote[2549].end 22817.42721875
transcript.pyannote[2550].speaker SPEAKER_35
transcript.pyannote[2550].start 22817.74784375
transcript.pyannote[2550].end 22821.00471875
transcript.pyannote[2551].speaker SPEAKER_35
transcript.pyannote[2551].start 22821.32534375
transcript.pyannote[2551].end 22823.46846875
transcript.pyannote[2552].speaker SPEAKER_35
transcript.pyannote[2552].start 22823.77221875
transcript.pyannote[2552].end 22824.75096875
transcript.pyannote[2553].speaker SPEAKER_35
transcript.pyannote[2553].start 22825.25721875
transcript.pyannote[2553].end 22826.79284375
transcript.pyannote[2554].speaker SPEAKER_35
transcript.pyannote[2554].start 22827.14721875
transcript.pyannote[2554].end 22828.44659375
transcript.pyannote[2555].speaker SPEAKER_35
transcript.pyannote[2555].start 22828.93596875
transcript.pyannote[2555].end 22830.15096875
transcript.pyannote[2556].speaker SPEAKER_35
transcript.pyannote[2556].start 22830.72471875
transcript.pyannote[2556].end 22835.85471875
transcript.pyannote[2557].speaker SPEAKER_35
transcript.pyannote[2557].start 22836.04034375
transcript.pyannote[2557].end 22838.57159375
transcript.pyannote[2558].speaker SPEAKER_35
transcript.pyannote[2558].start 22838.79096875
transcript.pyannote[2558].end 22841.74409375
transcript.pyannote[2559].speaker SPEAKER_35
transcript.pyannote[2559].start 22841.84534375
transcript.pyannote[2559].end 22844.93346875
transcript.pyannote[2560].speaker SPEAKER_35
transcript.pyannote[2560].start 22845.22034375
transcript.pyannote[2560].end 22847.83596875
transcript.pyannote[2561].speaker SPEAKER_35
transcript.pyannote[2561].start 22847.95409375
transcript.pyannote[2561].end 22852.03784375
transcript.pyannote[2562].speaker SPEAKER_04
transcript.pyannote[2562].start 22853.21909375
transcript.pyannote[2562].end 22853.38784375
transcript.pyannote[2563].speaker SPEAKER_04
transcript.pyannote[2563].start 22853.55659375
transcript.pyannote[2563].end 22862.31471875
transcript.pyannote[2564].speaker SPEAKER_35
transcript.pyannote[2564].start 22862.73659375
transcript.pyannote[2564].end 22869.48659375
transcript.pyannote[2565].speaker SPEAKER_35
transcript.pyannote[2565].start 22869.62159375
transcript.pyannote[2565].end 22884.01596875
transcript.pyannote[2566].speaker SPEAKER_35
transcript.pyannote[2566].start 22884.62346875
transcript.pyannote[2566].end 22885.82159375
transcript.pyannote[2567].speaker SPEAKER_35
transcript.pyannote[2567].start 22886.34471875
transcript.pyannote[2567].end 22892.33534375
transcript.pyannote[2568].speaker SPEAKER_35
transcript.pyannote[2568].start 22892.36909375
transcript.pyannote[2568].end 22894.56284375
transcript.pyannote[2569].speaker SPEAKER_04
transcript.pyannote[2569].start 22895.25471875
transcript.pyannote[2569].end 22914.23909375
transcript.pyannote[2570].speaker SPEAKER_35
transcript.pyannote[2570].start 22915.26846875
transcript.pyannote[2570].end 22928.21159375
transcript.pyannote[2571].speaker SPEAKER_04
transcript.pyannote[2571].start 22915.33596875
transcript.pyannote[2571].end 22915.47096875
transcript.pyannote[2572].speaker SPEAKER_35
transcript.pyannote[2572].start 22928.56596875
transcript.pyannote[2572].end 22929.47721875
transcript.pyannote[2573].speaker SPEAKER_35
transcript.pyannote[2573].start 22929.67971875
transcript.pyannote[2573].end 22937.81346875
transcript.pyannote[2574].speaker SPEAKER_35
transcript.pyannote[2574].start 22937.96534375
transcript.pyannote[2574].end 22939.14659375
transcript.pyannote[2575].speaker SPEAKER_35
transcript.pyannote[2575].start 22939.50096875
transcript.pyannote[2575].end 22939.99034375
transcript.pyannote[2576].speaker SPEAKER_35
transcript.pyannote[2576].start 22940.41221875
transcript.pyannote[2576].end 22942.28534375
transcript.pyannote[2577].speaker SPEAKER_35
transcript.pyannote[2577].start 22942.79159375
transcript.pyannote[2577].end 22952.68034375
transcript.pyannote[2578].speaker SPEAKER_35
transcript.pyannote[2578].start 22952.93346875
transcript.pyannote[2578].end 22955.88659375
transcript.pyannote[2579].speaker SPEAKER_35
transcript.pyannote[2579].start 22955.95409375
transcript.pyannote[2579].end 22958.08034375
transcript.pyannote[2580].speaker SPEAKER_35
transcript.pyannote[2580].start 22958.63721875
transcript.pyannote[2580].end 22961.53971875
transcript.pyannote[2581].speaker SPEAKER_35
transcript.pyannote[2581].start 22961.87721875
transcript.pyannote[2581].end 22967.02409375
transcript.pyannote[2582].speaker SPEAKER_06
transcript.pyannote[2582].start 22967.73284375
transcript.pyannote[2582].end 22968.30659375
transcript.pyannote[2583].speaker SPEAKER_06
transcript.pyannote[2583].start 22969.09971875
transcript.pyannote[2583].end 22969.11659375
transcript.pyannote[2584].speaker SPEAKER_35
transcript.pyannote[2584].start 22969.11659375
transcript.pyannote[2584].end 22969.13346875
transcript.pyannote[2585].speaker SPEAKER_06
transcript.pyannote[2585].start 22969.13346875
transcript.pyannote[2585].end 22971.46221875
transcript.pyannote[2586].speaker SPEAKER_06
transcript.pyannote[2586].start 22971.78284375
transcript.pyannote[2586].end 22974.82034375
transcript.pyannote[2587].speaker SPEAKER_06
transcript.pyannote[2587].start 22975.00596875
transcript.pyannote[2587].end 22977.94221875
transcript.pyannote[2588].speaker SPEAKER_06
transcript.pyannote[2588].start 22977.95909375
transcript.pyannote[2588].end 22978.02659375
transcript.pyannote[2589].speaker SPEAKER_06
transcript.pyannote[2589].start 22978.11096875
transcript.pyannote[2589].end 22981.63784375
transcript.pyannote[2590].speaker SPEAKER_06
transcript.pyannote[2590].start 22982.12721875
transcript.pyannote[2590].end 22984.47284375
transcript.pyannote[2591].speaker SPEAKER_06
transcript.pyannote[2591].start 22984.70909375
transcript.pyannote[2591].end 22987.62846875
transcript.pyannote[2592].speaker SPEAKER_06
transcript.pyannote[2592].start 22988.06721875
transcript.pyannote[2592].end 22990.53096875
transcript.pyannote[2593].speaker SPEAKER_06
transcript.pyannote[2593].start 22990.78409375
transcript.pyannote[2593].end 22991.69534375
transcript.pyannote[2594].speaker SPEAKER_06
transcript.pyannote[2594].start 22992.03284375
transcript.pyannote[2594].end 22998.69846875
transcript.pyannote[2595].speaker SPEAKER_06
transcript.pyannote[2595].start 22998.88409375
transcript.pyannote[2595].end 23000.89221875
transcript.pyannote[2596].speaker SPEAKER_06
transcript.pyannote[2596].start 23001.19596875
transcript.pyannote[2596].end 23004.94221875
transcript.pyannote[2597].speaker SPEAKER_04
transcript.pyannote[2597].start 23005.34721875
transcript.pyannote[2597].end 23014.25721875
transcript.pyannote[2598].speaker SPEAKER_04
transcript.pyannote[2598].start 23014.42596875
transcript.pyannote[2598].end 23020.68659375
transcript.pyannote[2599].speaker SPEAKER_04
transcript.pyannote[2599].start 23021.81721875
transcript.pyannote[2599].end 23027.62221875
transcript.pyannote[2600].speaker SPEAKER_04
transcript.pyannote[2600].start 23027.79096875
transcript.pyannote[2600].end 23033.86596875
transcript.pyannote[2601].speaker SPEAKER_04
transcript.pyannote[2601].start 23033.91659375
transcript.pyannote[2601].end 23038.28721875
transcript.pyannote[2602].speaker SPEAKER_04
transcript.pyannote[2602].start 23038.57409375
transcript.pyannote[2602].end 23049.30659375
transcript.pyannote[2603].speaker SPEAKER_04
transcript.pyannote[2603].start 23049.71159375
transcript.pyannote[2603].end 23050.20096875
transcript.pyannote[2604].speaker SPEAKER_04
transcript.pyannote[2604].start 23050.52159375
transcript.pyannote[2604].end 23051.44971875
transcript.pyannote[2605].speaker SPEAKER_04
transcript.pyannote[2605].start 23051.82096875
transcript.pyannote[2605].end 23053.74471875
transcript.pyannote[2606].speaker SPEAKER_04
transcript.pyannote[2606].start 23054.14971875
transcript.pyannote[2606].end 23054.74034375
transcript.pyannote[2607].speaker SPEAKER_04
transcript.pyannote[2607].start 23055.24659375
transcript.pyannote[2607].end 23062.09784375
transcript.pyannote[2608].speaker SPEAKER_06
transcript.pyannote[2608].start 23062.09784375
transcript.pyannote[2608].end 23062.14846875
transcript.pyannote[2609].speaker SPEAKER_04
transcript.pyannote[2609].start 23062.14846875
transcript.pyannote[2609].end 23062.16534375
transcript.pyannote[2610].speaker SPEAKER_06
transcript.pyannote[2610].start 23062.67159375
transcript.pyannote[2610].end 23062.70534375
transcript.pyannote[2611].speaker SPEAKER_04
transcript.pyannote[2611].start 23062.70534375
transcript.pyannote[2611].end 23062.97534375
transcript.pyannote[2612].speaker SPEAKER_06
transcript.pyannote[2612].start 23062.97534375
transcript.pyannote[2612].end 23068.88159375
transcript.pyannote[2613].speaker SPEAKER_06
transcript.pyannote[2613].start 23069.18534375
transcript.pyannote[2613].end 23074.09596875
transcript.pyannote[2614].speaker SPEAKER_06
transcript.pyannote[2614].start 23074.16346875
transcript.pyannote[2614].end 23075.22659375
transcript.pyannote[2615].speaker SPEAKER_06
transcript.pyannote[2615].start 23075.59784375
transcript.pyannote[2615].end 23081.26784375
transcript.pyannote[2616].speaker SPEAKER_06
transcript.pyannote[2616].start 23081.65596875
transcript.pyannote[2616].end 23104.23471875
transcript.pyannote[2617].speaker SPEAKER_06
transcript.pyannote[2617].start 23104.69034375
transcript.pyannote[2617].end 23108.01471875
transcript.pyannote[2618].speaker SPEAKER_06
transcript.pyannote[2618].start 23108.20034375
transcript.pyannote[2618].end 23108.80784375
transcript.pyannote[2619].speaker SPEAKER_06
transcript.pyannote[2619].start 23109.63471875
transcript.pyannote[2619].end 23111.35596875
transcript.pyannote[2620].speaker SPEAKER_06
transcript.pyannote[2620].start 23113.09409375
transcript.pyannote[2620].end 23113.22909375
transcript.pyannote[2621].speaker SPEAKER_04
transcript.pyannote[2621].start 23113.22909375
transcript.pyannote[2621].end 23113.43159375
transcript.pyannote[2622].speaker SPEAKER_06
transcript.pyannote[2622].start 23113.43159375
transcript.pyannote[2622].end 23115.03471875
transcript.pyannote[2623].speaker SPEAKER_04
transcript.pyannote[2623].start 23115.27096875
transcript.pyannote[2623].end 23115.74346875
transcript.pyannote[2624].speaker SPEAKER_04
transcript.pyannote[2624].start 23115.92909375
transcript.pyannote[2624].end 23115.99659375
transcript.pyannote[2625].speaker SPEAKER_06
transcript.pyannote[2625].start 23115.99659375
transcript.pyannote[2625].end 23119.06784375
transcript.pyannote[2626].speaker SPEAKER_04
transcript.pyannote[2626].start 23116.03034375
transcript.pyannote[2626].end 23116.60409375
transcript.pyannote[2627].speaker SPEAKER_04
transcript.pyannote[2627].start 23118.52784375
transcript.pyannote[2627].end 23129.05784375
transcript.pyannote[2628].speaker SPEAKER_04
transcript.pyannote[2628].start 23129.29409375
transcript.pyannote[2628].end 23131.80846875
transcript.pyannote[2629].speaker SPEAKER_04
transcript.pyannote[2629].start 23132.28096875
transcript.pyannote[2629].end 23134.57596875
transcript.pyannote[2630].speaker SPEAKER_04
transcript.pyannote[2630].start 23134.84596875
transcript.pyannote[2630].end 23135.52096875
transcript.pyannote[2631].speaker SPEAKER_04
transcript.pyannote[2631].start 23135.95971875
transcript.pyannote[2631].end 23139.31784375
transcript.pyannote[2632].speaker SPEAKER_06
transcript.pyannote[2632].start 23139.48659375
transcript.pyannote[2632].end 23143.33409375
transcript.pyannote[2633].speaker SPEAKER_08
transcript.pyannote[2633].start 23142.42284375
transcript.pyannote[2633].end 23143.84034375
transcript.pyannote[2634].speaker SPEAKER_04
transcript.pyannote[2634].start 23143.33409375
transcript.pyannote[2634].end 23144.34659375
transcript.pyannote[2635].speaker SPEAKER_06
transcript.pyannote[2635].start 23143.84034375
transcript.pyannote[2635].end 23143.87409375
transcript.pyannote[2636].speaker SPEAKER_08
transcript.pyannote[2636].start 23144.34659375
transcript.pyannote[2636].end 23149.57784375
transcript.pyannote[2637].speaker SPEAKER_04
transcript.pyannote[2637].start 23144.73471875
transcript.pyannote[2637].end 23144.97096875
transcript.pyannote[2638].speaker SPEAKER_06
transcript.pyannote[2638].start 23144.97096875
transcript.pyannote[2638].end 23145.46034375
transcript.pyannote[2639].speaker SPEAKER_08
transcript.pyannote[2639].start 23149.76346875
transcript.pyannote[2639].end 23151.85596875
transcript.pyannote[2640].speaker SPEAKER_08
transcript.pyannote[2640].start 23152.29471875
transcript.pyannote[2640].end 23154.87659375
transcript.pyannote[2641].speaker SPEAKER_08
transcript.pyannote[2641].start 23155.29846875
transcript.pyannote[2641].end 23158.16721875
transcript.pyannote[2642].speaker SPEAKER_08
transcript.pyannote[2642].start 23158.82534375
transcript.pyannote[2642].end 23161.18784375
transcript.pyannote[2643].speaker SPEAKER_08
transcript.pyannote[2643].start 23161.54221875
transcript.pyannote[2643].end 23164.00596875
transcript.pyannote[2644].speaker SPEAKER_08
transcript.pyannote[2644].start 23164.64721875
transcript.pyannote[2644].end 23166.72284375
transcript.pyannote[2645].speaker SPEAKER_08
transcript.pyannote[2645].start 23166.99284375
transcript.pyannote[2645].end 23169.60846875
transcript.pyannote[2646].speaker SPEAKER_08
transcript.pyannote[2646].start 23169.82784375
transcript.pyannote[2646].end 23172.00471875
transcript.pyannote[2647].speaker SPEAKER_08
transcript.pyannote[2647].start 23172.20721875
transcript.pyannote[2647].end 23175.27846875
transcript.pyannote[2648].speaker SPEAKER_08
transcript.pyannote[2648].start 23175.44721875
transcript.pyannote[2648].end 23178.11346875
transcript.pyannote[2649].speaker SPEAKER_08
transcript.pyannote[2649].start 23178.50159375
transcript.pyannote[2649].end 23180.02034375
transcript.pyannote[2650].speaker SPEAKER_08
transcript.pyannote[2650].start 23180.30721875
transcript.pyannote[2650].end 23184.30659375
transcript.pyannote[2651].speaker SPEAKER_08
transcript.pyannote[2651].start 23184.67784375
transcript.pyannote[2651].end 23193.60471875
transcript.pyannote[2652].speaker SPEAKER_04
transcript.pyannote[2652].start 23192.20409375
transcript.pyannote[2652].end 23192.52471875
transcript.pyannote[2653].speaker SPEAKER_04
transcript.pyannote[2653].start 23193.01409375
transcript.pyannote[2653].end 23198.85284375
transcript.pyannote[2654].speaker SPEAKER_08
transcript.pyannote[2654].start 23197.51971875
transcript.pyannote[2654].end 23198.48159375
transcript.pyannote[2655].speaker SPEAKER_08
transcript.pyannote[2655].start 23198.85284375
transcript.pyannote[2655].end 23199.78096875
transcript.pyannote[2656].speaker SPEAKER_04
transcript.pyannote[2656].start 23199.27471875
transcript.pyannote[2656].end 23208.80909375
transcript.pyannote[2657].speaker SPEAKER_08
transcript.pyannote[2657].start 23208.74159375
transcript.pyannote[2657].end 23213.29784375
transcript.pyannote[2658].speaker SPEAKER_08
transcript.pyannote[2658].start 23213.33159375
transcript.pyannote[2658].end 23216.99346875
transcript.pyannote[2659].speaker SPEAKER_08
transcript.pyannote[2659].start 23217.28034375
transcript.pyannote[2659].end 23221.11096875
transcript.pyannote[2660].speaker SPEAKER_04
transcript.pyannote[2660].start 23222.08971875
transcript.pyannote[2660].end 23225.88659375
transcript.pyannote[2661].speaker SPEAKER_08
transcript.pyannote[2661].start 23225.88659375
transcript.pyannote[2661].end 23226.27471875
transcript.pyannote[2662].speaker SPEAKER_04
transcript.pyannote[2662].start 23226.27471875
transcript.pyannote[2662].end 23235.43784375
transcript.pyannote[2663].speaker SPEAKER_04
transcript.pyannote[2663].start 23235.57284375
transcript.pyannote[2663].end 23238.27284375
transcript.pyannote[2664].speaker SPEAKER_04
transcript.pyannote[2664].start 23238.88034375
transcript.pyannote[2664].end 23238.94784375
transcript.pyannote[2665].speaker SPEAKER_08
transcript.pyannote[2665].start 23238.94784375
transcript.pyannote[2665].end 23241.83346875
transcript.pyannote[2666].speaker SPEAKER_04
transcript.pyannote[2666].start 23238.96471875
transcript.pyannote[2666].end 23239.40346875
transcript.pyannote[2667].speaker SPEAKER_08
transcript.pyannote[2667].start 23242.55909375
transcript.pyannote[2667].end 23245.44471875
transcript.pyannote[2668].speaker SPEAKER_08
transcript.pyannote[2668].start 23245.96784375
transcript.pyannote[2668].end 23247.38534375
transcript.pyannote[2669].speaker SPEAKER_08
transcript.pyannote[2669].start 23247.84096875
transcript.pyannote[2669].end 23251.73909375
transcript.pyannote[2670].speaker SPEAKER_08
transcript.pyannote[2670].start 23251.92471875
transcript.pyannote[2670].end 23256.17721875
transcript.pyannote[2671].speaker SPEAKER_08
transcript.pyannote[2671].start 23256.19409375
transcript.pyannote[2671].end 23257.99971875
transcript.pyannote[2672].speaker SPEAKER_26
transcript.pyannote[2672].start 23257.99971875
transcript.pyannote[2672].end 23258.01659375
transcript.pyannote[2673].speaker SPEAKER_08
transcript.pyannote[2673].start 23258.62409375
transcript.pyannote[2673].end 23258.64096875
transcript.pyannote[2674].speaker SPEAKER_04
transcript.pyannote[2674].start 23258.64096875
transcript.pyannote[2674].end 23259.92346875
transcript.pyannote[2675].speaker SPEAKER_08
transcript.pyannote[2675].start 23260.22721875
transcript.pyannote[2675].end 23260.27784375
transcript.pyannote[2676].speaker SPEAKER_04
transcript.pyannote[2676].start 23260.27784375
transcript.pyannote[2676].end 23260.36221875
transcript.pyannote[2677].speaker SPEAKER_08
transcript.pyannote[2677].start 23260.36221875
transcript.pyannote[2677].end 23260.54784375
transcript.pyannote[2678].speaker SPEAKER_04
transcript.pyannote[2678].start 23260.54784375
transcript.pyannote[2678].end 23261.27346875
transcript.pyannote[2679].speaker SPEAKER_26
transcript.pyannote[2679].start 23261.91471875
transcript.pyannote[2679].end 23266.40346875
transcript.pyannote[2680].speaker SPEAKER_26
transcript.pyannote[2680].start 23268.51284375
transcript.pyannote[2680].end 23275.63409375
transcript.pyannote[2681].speaker SPEAKER_26
transcript.pyannote[2681].start 23276.35971875
transcript.pyannote[2681].end 23276.66346875
transcript.pyannote[2682].speaker SPEAKER_26
transcript.pyannote[2682].start 23278.35096875
transcript.pyannote[2682].end 23281.52346875
transcript.pyannote[2683].speaker SPEAKER_24
transcript.pyannote[2683].start 23290.80471875
transcript.pyannote[2683].end 23292.88034375
transcript.pyannote[2684].speaker SPEAKER_26
transcript.pyannote[2684].start 23293.04909375
transcript.pyannote[2684].end 23294.44971875
transcript.pyannote[2685].speaker SPEAKER_24
transcript.pyannote[2685].start 23296.64346875
transcript.pyannote[2685].end 23300.42346875
transcript.pyannote[2686].speaker SPEAKER_08
transcript.pyannote[2686].start 23299.37721875
transcript.pyannote[2686].end 23299.39409375
transcript.pyannote[2687].speaker SPEAKER_26
transcript.pyannote[2687].start 23299.39409375
transcript.pyannote[2687].end 23300.37284375
transcript.pyannote[2688].speaker SPEAKER_08
transcript.pyannote[2688].start 23300.37284375
transcript.pyannote[2688].end 23300.62596875
transcript.pyannote[2689].speaker SPEAKER_08
transcript.pyannote[2689].start 23305.84034375
transcript.pyannote[2689].end 23306.38034375
transcript.pyannote[2690].speaker SPEAKER_24
transcript.pyannote[2690].start 23306.58284375
transcript.pyannote[2690].end 23308.23659375
transcript.pyannote[2691].speaker SPEAKER_24
transcript.pyannote[2691].start 23308.67534375
transcript.pyannote[2691].end 23309.48534375
transcript.pyannote[2692].speaker SPEAKER_08
transcript.pyannote[2692].start 23308.96221875
transcript.pyannote[2692].end 23309.33346875
transcript.pyannote[2693].speaker SPEAKER_24
transcript.pyannote[2693].start 23309.70471875
transcript.pyannote[2693].end 23319.77909375
transcript.pyannote[2694].speaker SPEAKER_02
transcript.pyannote[2694].start 23320.15034375
transcript.pyannote[2694].end 23321.43284375
transcript.pyannote[2695].speaker SPEAKER_02
transcript.pyannote[2695].start 23321.46659375
transcript.pyannote[2695].end 23321.48346875
transcript.pyannote[2696].speaker SPEAKER_24
transcript.pyannote[2696].start 23321.48346875
transcript.pyannote[2696].end 23322.96846875
transcript.pyannote[2697].speaker SPEAKER_02
transcript.pyannote[2697].start 23322.02346875
transcript.pyannote[2697].end 23331.35534375
transcript.pyannote[2698].speaker SPEAKER_24
transcript.pyannote[2698].start 23327.57534375
transcript.pyannote[2698].end 23327.87909375
transcript.pyannote[2699].speaker SPEAKER_02
transcript.pyannote[2699].start 23331.50721875
transcript.pyannote[2699].end 23333.90346875
transcript.pyannote[2700].speaker SPEAKER_24
transcript.pyannote[2700].start 23333.17784375
transcript.pyannote[2700].end 23346.34034375
transcript.pyannote[2701].speaker SPEAKER_02
transcript.pyannote[2701].start 23347.13346875
transcript.pyannote[2701].end 23352.56721875
transcript.pyannote[2702].speaker SPEAKER_24
transcript.pyannote[2702].start 23352.56721875
transcript.pyannote[2702].end 23358.03471875
transcript.pyannote[2703].speaker SPEAKER_24
transcript.pyannote[2703].start 23358.45659375
transcript.pyannote[2703].end 23360.41409375
transcript.pyannote[2704].speaker SPEAKER_24
transcript.pyannote[2704].start 23361.05534375
transcript.pyannote[2704].end 23361.81471875
transcript.pyannote[2705].speaker SPEAKER_02
transcript.pyannote[2705].start 23362.62471875
transcript.pyannote[2705].end 23363.14784375
transcript.pyannote[2706].speaker SPEAKER_02
transcript.pyannote[2706].start 23364.49784375
transcript.pyannote[2706].end 23364.51471875
transcript.pyannote[2707].speaker SPEAKER_24
transcript.pyannote[2707].start 23364.51471875
transcript.pyannote[2707].end 23368.15971875
transcript.pyannote[2708].speaker SPEAKER_02
transcript.pyannote[2708].start 23364.54846875
transcript.pyannote[2708].end 23365.62846875
transcript.pyannote[2709].speaker SPEAKER_24
transcript.pyannote[2709].start 23368.56471875
transcript.pyannote[2709].end 23387.32971875
transcript.pyannote[2710].speaker SPEAKER_02
transcript.pyannote[2710].start 23388.02159375
transcript.pyannote[2710].end 23398.58534375
transcript.pyannote[2711].speaker SPEAKER_02
transcript.pyannote[2711].start 23398.90596875
transcript.pyannote[2711].end 23400.45846875
transcript.pyannote[2712].speaker SPEAKER_24
transcript.pyannote[2712].start 23398.95659375
transcript.pyannote[2712].end 23421.02909375
transcript.pyannote[2713].speaker SPEAKER_02
transcript.pyannote[2713].start 23400.52596875
transcript.pyannote[2713].end 23400.71159375
transcript.pyannote[2714].speaker SPEAKER_24
transcript.pyannote[2714].start 23421.19784375
transcript.pyannote[2714].end 23423.49284375
transcript.pyannote[2715].speaker SPEAKER_08
transcript.pyannote[2715].start 23423.69534375
transcript.pyannote[2715].end 23426.69909375
transcript.pyannote[2716].speaker SPEAKER_08
transcript.pyannote[2716].start 23427.18846875
transcript.pyannote[2716].end 23428.69034375
transcript.pyannote[2717].speaker SPEAKER_24
transcript.pyannote[2717].start 23428.87596875
transcript.pyannote[2717].end 23430.96846875
transcript.pyannote[2718].speaker SPEAKER_08
transcript.pyannote[2718].start 23428.89284375
transcript.pyannote[2718].end 23431.84596875
transcript.pyannote[2719].speaker SPEAKER_24
transcript.pyannote[2719].start 23431.89659375
transcript.pyannote[2719].end 23452.29846875
transcript.pyannote[2720].speaker SPEAKER_08
transcript.pyannote[2720].start 23452.63596875
transcript.pyannote[2720].end 23454.13784375
transcript.pyannote[2721].speaker SPEAKER_08
transcript.pyannote[2721].start 23454.44159375
transcript.pyannote[2721].end 23455.16721875
transcript.pyannote[2722].speaker SPEAKER_08
transcript.pyannote[2722].start 23455.58909375
transcript.pyannote[2722].end 23463.68909375
transcript.pyannote[2723].speaker SPEAKER_24
transcript.pyannote[2723].start 23461.81596875
transcript.pyannote[2723].end 23487.83721875
transcript.pyannote[2724].speaker SPEAKER_09
transcript.pyannote[2724].start 23471.06346875
transcript.pyannote[2724].end 23471.35034375
transcript.pyannote[2725].speaker SPEAKER_00
transcript.pyannote[2725].start 23471.35034375
transcript.pyannote[2725].end 23471.48534375
transcript.pyannote[2726].speaker SPEAKER_08
transcript.pyannote[2726].start 23488.57971875
transcript.pyannote[2726].end 23496.74721875
transcript.pyannote[2727].speaker SPEAKER_24
transcript.pyannote[2727].start 23490.89159375
transcript.pyannote[2727].end 23491.49909375
transcript.pyannote[2728].speaker SPEAKER_24
transcript.pyannote[2728].start 23495.83596875
transcript.pyannote[2728].end 23512.82909375
transcript.pyannote[2729].speaker SPEAKER_08
transcript.pyannote[2729].start 23512.44096875
transcript.pyannote[2729].end 23523.62909375
transcript.pyannote[2730].speaker SPEAKER_24
transcript.pyannote[2730].start 23522.88659375
transcript.pyannote[2730].end 23535.44159375
transcript.pyannote[2731].speaker SPEAKER_08
transcript.pyannote[2731].start 23525.97471875
transcript.pyannote[2731].end 23526.37971875
transcript.pyannote[2732].speaker SPEAKER_08
transcript.pyannote[2732].start 23535.05346875
transcript.pyannote[2732].end 23544.84096875
transcript.pyannote[2733].speaker SPEAKER_08
transcript.pyannote[2733].start 23544.92534375
transcript.pyannote[2733].end 23548.28346875
transcript.pyannote[2734].speaker SPEAKER_24
transcript.pyannote[2734].start 23545.26284375
transcript.pyannote[2734].end 23546.93346875
transcript.pyannote[2735].speaker SPEAKER_24
transcript.pyannote[2735].start 23547.23721875
transcript.pyannote[2735].end 23578.30409375
transcript.pyannote[2736].speaker SPEAKER_02
transcript.pyannote[2736].start 23577.67971875
transcript.pyannote[2736].end 23578.21971875
transcript.pyannote[2737].speaker SPEAKER_02
transcript.pyannote[2737].start 23578.45596875
transcript.pyannote[2737].end 23585.30721875
transcript.pyannote[2738].speaker SPEAKER_24
transcript.pyannote[2738].start 23582.40471875
transcript.pyannote[2738].end 23598.19971875
transcript.pyannote[2739].speaker SPEAKER_02
transcript.pyannote[2739].start 23597.17034375
transcript.pyannote[2739].end 23605.91159375
transcript.pyannote[2740].speaker SPEAKER_24
transcript.pyannote[2740].start 23605.91159375
transcript.pyannote[2740].end 23678.81159375
transcript.pyannote[2741].speaker SPEAKER_00
transcript.pyannote[2741].start 23614.43346875
transcript.pyannote[2741].end 23614.83846875
transcript.pyannote[2742].speaker SPEAKER_24
transcript.pyannote[2742].start 23679.08159375
transcript.pyannote[2742].end 23680.19534375
transcript.pyannote[2743].speaker SPEAKER_08
transcript.pyannote[2743].start 23680.56659375
transcript.pyannote[2743].end 23681.81534375
transcript.pyannote[2744].speaker SPEAKER_08
transcript.pyannote[2744].start 23681.96721875
transcript.pyannote[2744].end 23687.31659375
transcript.pyannote[2745].speaker SPEAKER_24
transcript.pyannote[2745].start 23688.26159375
transcript.pyannote[2745].end 23702.31846875
transcript.pyannote[2746].speaker SPEAKER_24
transcript.pyannote[2746].start 23702.57159375
transcript.pyannote[2746].end 23714.38409375
transcript.pyannote[2747].speaker SPEAKER_08
transcript.pyannote[2747].start 23714.73846875
transcript.pyannote[2747].end 23717.15159375
transcript.pyannote[2748].speaker SPEAKER_08
transcript.pyannote[2748].start 23717.32034375
transcript.pyannote[2748].end 23719.49721875
transcript.pyannote[2749].speaker SPEAKER_08
transcript.pyannote[2749].start 23719.83471875
transcript.pyannote[2749].end 23720.71221875
transcript.pyannote[2750].speaker SPEAKER_08
transcript.pyannote[2750].start 23721.20159375
transcript.pyannote[2750].end 23724.12096875
transcript.pyannote[2751].speaker SPEAKER_08
transcript.pyannote[2751].start 23724.55971875
transcript.pyannote[2751].end 23727.22596875
transcript.pyannote[2752].speaker SPEAKER_24
transcript.pyannote[2752].start 23726.06159375
transcript.pyannote[2752].end 23731.44471875
transcript.pyannote[2753].speaker SPEAKER_08
transcript.pyannote[2753].start 23731.68096875
transcript.pyannote[2753].end 23736.37221875
transcript.pyannote[2754].speaker SPEAKER_24
transcript.pyannote[2754].start 23736.49034375
transcript.pyannote[2754].end 23737.03034375
transcript.pyannote[2755].speaker SPEAKER_02
transcript.pyannote[2755].start 23737.03034375
transcript.pyannote[2755].end 23737.33409375
transcript.pyannote[2756].speaker SPEAKER_08
transcript.pyannote[2756].start 23737.62096875
transcript.pyannote[2756].end 23737.89096875
transcript.pyannote[2757].speaker SPEAKER_02
transcript.pyannote[2757].start 23738.19471875
transcript.pyannote[2757].end 23739.69659375
transcript.pyannote[2758].speaker SPEAKER_02
transcript.pyannote[2758].start 23740.06784375
transcript.pyannote[2758].end 23748.26909375
transcript.pyannote[2759].speaker SPEAKER_24
transcript.pyannote[2759].start 23741.90721875
transcript.pyannote[2759].end 23742.02534375
transcript.pyannote[2760].speaker SPEAKER_24
transcript.pyannote[2760].start 23743.20659375
transcript.pyannote[2760].end 23743.62846875
transcript.pyannote[2761].speaker SPEAKER_24
transcript.pyannote[2761].start 23747.52659375
transcript.pyannote[2761].end 23775.18471875
transcript.pyannote[2762].speaker SPEAKER_02
transcript.pyannote[2762].start 23768.70471875
transcript.pyannote[2762].end 23769.39659375
transcript.pyannote[2763].speaker SPEAKER_02
transcript.pyannote[2763].start 23773.85159375
transcript.pyannote[2763].end 23777.42909375
transcript.pyannote[2764].speaker SPEAKER_24
transcript.pyannote[2764].start 23777.47971875
transcript.pyannote[2764].end 23799.61971875
transcript.pyannote[2765].speaker SPEAKER_24
transcript.pyannote[2765].start 23800.04159375
transcript.pyannote[2765].end 23813.77784375
transcript.pyannote[2766].speaker SPEAKER_02
transcript.pyannote[2766].start 23812.78221875
transcript.pyannote[2766].end 23814.89159375
transcript.pyannote[2767].speaker SPEAKER_24
transcript.pyannote[2767].start 23814.06471875
transcript.pyannote[2767].end 23858.19284375
transcript.pyannote[2768].speaker SPEAKER_02
transcript.pyannote[2768].start 23858.36159375
transcript.pyannote[2768].end 23860.01534375
transcript.pyannote[2769].speaker SPEAKER_02
transcript.pyannote[2769].start 23860.35284375
transcript.pyannote[2769].end 23861.06159375
transcript.pyannote[2770].speaker SPEAKER_02
transcript.pyannote[2770].start 23861.21346875
transcript.pyannote[2770].end 23865.92159375
transcript.pyannote[2771].speaker SPEAKER_24
transcript.pyannote[2771].start 23865.11159375
transcript.pyannote[2771].end 23865.43221875
transcript.pyannote[2772].speaker SPEAKER_02
transcript.pyannote[2772].start 23866.25909375
transcript.pyannote[2772].end 23869.09409375
transcript.pyannote[2773].speaker SPEAKER_24
transcript.pyannote[2773].start 23867.74409375
transcript.pyannote[2773].end 23891.74034375
transcript.pyannote[2774].speaker SPEAKER_00
transcript.pyannote[2774].start 23881.15971875
transcript.pyannote[2774].end 23881.17659375
transcript.pyannote[2775].speaker SPEAKER_33
transcript.pyannote[2775].start 23881.17659375
transcript.pyannote[2775].end 23881.63221875
transcript.pyannote[2776].speaker SPEAKER_02
transcript.pyannote[2776].start 23891.74034375
transcript.pyannote[2776].end 23891.80784375
transcript.pyannote[2777].speaker SPEAKER_24
transcript.pyannote[2777].start 23891.80784375
transcript.pyannote[2777].end 23895.28409375
transcript.pyannote[2778].speaker SPEAKER_02
transcript.pyannote[2778].start 23891.97659375
transcript.pyannote[2778].end 23892.97221875
transcript.pyannote[2779].speaker SPEAKER_02
transcript.pyannote[2779].start 23894.00159375
transcript.pyannote[2779].end 23902.42221875
transcript.pyannote[2780].speaker SPEAKER_24
transcript.pyannote[2780].start 23901.00471875
transcript.pyannote[2780].end 23905.18971875
transcript.pyannote[2781].speaker SPEAKER_02
transcript.pyannote[2781].start 23904.02534375
transcript.pyannote[2781].end 23910.08346875
transcript.pyannote[2782].speaker SPEAKER_24
transcript.pyannote[2782].start 23905.57784375
transcript.pyannote[2782].end 23905.72971875
transcript.pyannote[2783].speaker SPEAKER_24
transcript.pyannote[2783].start 23907.94034375
transcript.pyannote[2783].end 23927.97096875
transcript.pyannote[2784].speaker SPEAKER_22
transcript.pyannote[2784].start 23921.42346875
transcript.pyannote[2784].end 23922.90846875
transcript.pyannote[2785].speaker SPEAKER_08
transcript.pyannote[2785].start 23927.36346875
transcript.pyannote[2785].end 23927.66721875
transcript.pyannote[2786].speaker SPEAKER_20
transcript.pyannote[2786].start 23927.66721875
transcript.pyannote[2786].end 23927.70096875
transcript.pyannote[2787].speaker SPEAKER_08
transcript.pyannote[2787].start 23927.70096875
transcript.pyannote[2787].end 23927.81909375
transcript.pyannote[2788].speaker SPEAKER_08
transcript.pyannote[2788].start 23928.42659375
transcript.pyannote[2788].end 23930.31659375
transcript.pyannote[2789].speaker SPEAKER_24
transcript.pyannote[2789].start 23928.47721875
transcript.pyannote[2789].end 23929.00034375
transcript.pyannote[2790].speaker SPEAKER_08
transcript.pyannote[2790].start 23930.65409375
transcript.pyannote[2790].end 23933.16846875
transcript.pyannote[2791].speaker SPEAKER_08
transcript.pyannote[2791].start 23933.35409375
transcript.pyannote[2791].end 23935.96971875
transcript.pyannote[2792].speaker SPEAKER_08
transcript.pyannote[2792].start 23936.45909375
transcript.pyannote[2792].end 23937.25221875
transcript.pyannote[2793].speaker SPEAKER_08
transcript.pyannote[2793].start 23937.43784375
transcript.pyannote[2793].end 23944.54221875
transcript.pyannote[2794].speaker SPEAKER_18
transcript.pyannote[2794].start 23940.01971875
transcript.pyannote[2794].end 23940.03659375
transcript.pyannote[2795].speaker SPEAKER_24
transcript.pyannote[2795].start 23940.03659375
transcript.pyannote[2795].end 23941.36971875
transcript.pyannote[2796].speaker SPEAKER_24
transcript.pyannote[2796].start 23944.08659375
transcript.pyannote[2796].end 23971.84596875
transcript.pyannote[2797].speaker SPEAKER_00
transcript.pyannote[2797].start 23964.15096875
transcript.pyannote[2797].end 23964.18471875
transcript.pyannote[2798].speaker SPEAKER_33
transcript.pyannote[2798].start 23964.18471875
transcript.pyannote[2798].end 23964.37034375
transcript.pyannote[2799].speaker SPEAKER_00
transcript.pyannote[2799].start 23964.37034375
transcript.pyannote[2799].end 23964.53909375
transcript.pyannote[2800].speaker SPEAKER_33
transcript.pyannote[2800].start 23964.53909375
transcript.pyannote[2800].end 23965.02846875
transcript.pyannote[2801].speaker SPEAKER_02
transcript.pyannote[2801].start 23965.02846875
transcript.pyannote[2801].end 23966.73284375
transcript.pyannote[2802].speaker SPEAKER_02
transcript.pyannote[2802].start 23970.98534375
transcript.pyannote[2802].end 23976.18284375
transcript.pyannote[2803].speaker SPEAKER_24
transcript.pyannote[2803].start 23976.18284375
transcript.pyannote[2803].end 23987.50596875
transcript.pyannote[2804].speaker SPEAKER_02
transcript.pyannote[2804].start 23977.54971875
transcript.pyannote[2804].end 23977.95471875
transcript.pyannote[2805].speaker SPEAKER_02
transcript.pyannote[2805].start 23988.31596875
transcript.pyannote[2805].end 23990.99909375
transcript.pyannote[2806].speaker SPEAKER_24
transcript.pyannote[2806].start 23988.43409375
transcript.pyannote[2806].end 23988.90659375
transcript.pyannote[2807].speaker SPEAKER_24
transcript.pyannote[2807].start 23989.64909375
transcript.pyannote[2807].end 23993.86784375
transcript.pyannote[2808].speaker SPEAKER_08
transcript.pyannote[2808].start 23991.96096875
transcript.pyannote[2808].end 23995.40346875
transcript.pyannote[2809].speaker SPEAKER_24
transcript.pyannote[2809].start 23995.23471875
transcript.pyannote[2809].end 23996.46659375
transcript.pyannote[2810].speaker SPEAKER_08
transcript.pyannote[2810].start 23995.62284375
transcript.pyannote[2810].end 24001.30971875
transcript.pyannote[2811].speaker SPEAKER_24
transcript.pyannote[2811].start 23998.71096875
transcript.pyannote[2811].end 24009.46034375
transcript.pyannote[2812].speaker SPEAKER_08
transcript.pyannote[2812].start 24006.72659375
transcript.pyannote[2812].end 24006.76034375
transcript.pyannote[2813].speaker SPEAKER_02
transcript.pyannote[2813].start 24006.76034375
transcript.pyannote[2813].end 24009.84846875
transcript.pyannote[2814].speaker SPEAKER_02
transcript.pyannote[2814].start 24009.86534375
transcript.pyannote[2814].end 24009.88221875
transcript.pyannote[2815].speaker SPEAKER_24
transcript.pyannote[2815].start 24009.88221875
transcript.pyannote[2815].end 24106.35659375
transcript.pyannote[2816].speaker SPEAKER_02
transcript.pyannote[2816].start 24010.81034375
transcript.pyannote[2816].end 24011.33346875
transcript.pyannote[2817].speaker SPEAKER_02
transcript.pyannote[2817].start 24012.83534375
transcript.pyannote[2817].end 24013.25721875
transcript.pyannote[2818].speaker SPEAKER_33
transcript.pyannote[2818].start 24027.24659375
transcript.pyannote[2818].end 24027.56721875
transcript.pyannote[2819].speaker SPEAKER_02
transcript.pyannote[2819].start 24105.59721875
transcript.pyannote[2819].end 24109.44471875
transcript.pyannote[2820].speaker SPEAKER_02
transcript.pyannote[2820].start 24109.64721875
transcript.pyannote[2820].end 24111.14909375
transcript.pyannote[2821].speaker SPEAKER_02
transcript.pyannote[2821].start 24111.21659375
transcript.pyannote[2821].end 24113.03909375
transcript.pyannote[2822].speaker SPEAKER_02
transcript.pyannote[2822].start 24113.34284375
transcript.pyannote[2822].end 24116.80221875
transcript.pyannote[2823].speaker SPEAKER_02
transcript.pyannote[2823].start 24117.34221875
transcript.pyannote[2823].end 24120.04221875
transcript.pyannote[2824].speaker SPEAKER_02
transcript.pyannote[2824].start 24120.12659375
transcript.pyannote[2824].end 24120.14346875
transcript.pyannote[2825].speaker SPEAKER_24
transcript.pyannote[2825].start 24120.14346875
transcript.pyannote[2825].end 24120.16034375
transcript.pyannote[2826].speaker SPEAKER_02
transcript.pyannote[2826].start 24120.16034375
transcript.pyannote[2826].end 24120.17721875
transcript.pyannote[2827].speaker SPEAKER_24
transcript.pyannote[2827].start 24120.17721875
transcript.pyannote[2827].end 24152.13846875
transcript.pyannote[2828].speaker SPEAKER_02
transcript.pyannote[2828].start 24120.29534375
transcript.pyannote[2828].end 24120.75096875
transcript.pyannote[2829].speaker SPEAKER_24
transcript.pyannote[2829].start 24152.32409375
transcript.pyannote[2829].end 24155.51346875
transcript.pyannote[2830].speaker SPEAKER_02
transcript.pyannote[2830].start 24154.85534375
transcript.pyannote[2830].end 24159.27659375
transcript.pyannote[2831].speaker SPEAKER_24
transcript.pyannote[2831].start 24157.94346875
transcript.pyannote[2831].end 24158.43284375
transcript.pyannote[2832].speaker SPEAKER_24
transcript.pyannote[2832].start 24159.29346875
transcript.pyannote[2832].end 24173.51909375
transcript.pyannote[2833].speaker SPEAKER_02
transcript.pyannote[2833].start 24171.96659375
transcript.pyannote[2833].end 24177.02909375
transcript.pyannote[2834].speaker SPEAKER_24
transcript.pyannote[2834].start 24175.39221875
transcript.pyannote[2834].end 24191.99721875
transcript.pyannote[2835].speaker SPEAKER_08
transcript.pyannote[2835].start 24191.96346875
transcript.pyannote[2835].end 24199.27034375
transcript.pyannote[2836].speaker SPEAKER_09
transcript.pyannote[2836].start 24191.99721875
transcript.pyannote[2836].end 24192.31784375
transcript.pyannote[2837].speaker SPEAKER_24
transcript.pyannote[2837].start 24192.31784375
transcript.pyannote[2837].end 24192.60471875
transcript.pyannote[2838].speaker SPEAKER_24
transcript.pyannote[2838].start 24194.34284375
transcript.pyannote[2838].end 24194.57909375
transcript.pyannote[2839].speaker SPEAKER_08
transcript.pyannote[2839].start 24199.60784375
transcript.pyannote[2839].end 24202.17284375
transcript.pyannote[2840].speaker SPEAKER_08
transcript.pyannote[2840].start 24202.59471875
transcript.pyannote[2840].end 24205.17659375
transcript.pyannote[2841].speaker SPEAKER_08
transcript.pyannote[2841].start 24205.39596875
transcript.pyannote[2841].end 24207.21846875
transcript.pyannote[2842].speaker SPEAKER_08
transcript.pyannote[2842].start 24208.02846875
transcript.pyannote[2842].end 24211.03221875
transcript.pyannote[2843].speaker SPEAKER_08
transcript.pyannote[2843].start 24211.36971875
transcript.pyannote[2843].end 24213.61409375
transcript.pyannote[2844].speaker SPEAKER_24
transcript.pyannote[2844].start 24212.87159375
transcript.pyannote[2844].end 24218.96346875
transcript.pyannote[2845].speaker SPEAKER_08
transcript.pyannote[2845].start 24217.27596875
transcript.pyannote[2845].end 24231.70409375
transcript.pyannote[2846].speaker SPEAKER_24
transcript.pyannote[2846].start 24220.46534375
transcript.pyannote[2846].end 24223.30034375
transcript.pyannote[2847].speaker SPEAKER_09
transcript.pyannote[2847].start 24225.81471875
transcript.pyannote[2847].end 24225.83159375
transcript.pyannote[2848].speaker SPEAKER_24
transcript.pyannote[2848].start 24225.83159375
transcript.pyannote[2848].end 24226.96221875
transcript.pyannote[2849].speaker SPEAKER_09
transcript.pyannote[2849].start 24228.04221875
transcript.pyannote[2849].end 24228.05909375
transcript.pyannote[2850].speaker SPEAKER_24
transcript.pyannote[2850].start 24228.05909375
transcript.pyannote[2850].end 24264.03659375
transcript.pyannote[2851].speaker SPEAKER_02
transcript.pyannote[2851].start 24264.57659375
transcript.pyannote[2851].end 24270.73596875
transcript.pyannote[2852].speaker SPEAKER_24
transcript.pyannote[2852].start 24271.25909375
transcript.pyannote[2852].end 24308.67096875
transcript.pyannote[2853].speaker SPEAKER_24
transcript.pyannote[2853].start 24309.12659375
transcript.pyannote[2853].end 24318.39096875
transcript.pyannote[2854].speaker SPEAKER_09
transcript.pyannote[2854].start 24317.42909375
transcript.pyannote[2854].end 24317.49659375
transcript.pyannote[2855].speaker SPEAKER_26
transcript.pyannote[2855].start 24317.49659375
transcript.pyannote[2855].end 24317.56409375
transcript.pyannote[2856].speaker SPEAKER_09
transcript.pyannote[2856].start 24317.56409375
transcript.pyannote[2856].end 24317.96909375
transcript.pyannote[2857].speaker SPEAKER_26
transcript.pyannote[2857].start 24317.96909375
transcript.pyannote[2857].end 24318.01971875
transcript.pyannote[2858].speaker SPEAKER_09
transcript.pyannote[2858].start 24318.01971875
transcript.pyannote[2858].end 24318.10409375
transcript.pyannote[2859].speaker SPEAKER_26
transcript.pyannote[2859].start 24318.10409375
transcript.pyannote[2859].end 24318.15471875
transcript.pyannote[2860].speaker SPEAKER_24
transcript.pyannote[2860].start 24318.72846875
transcript.pyannote[2860].end 24320.82096875
transcript.pyannote[2861].speaker SPEAKER_26
transcript.pyannote[2861].start 24319.97721875
transcript.pyannote[2861].end 24321.29346875
transcript.pyannote[2862].speaker SPEAKER_24
transcript.pyannote[2862].start 24321.29346875
transcript.pyannote[2862].end 24321.74909375
transcript.pyannote[2863].speaker SPEAKER_24
transcript.pyannote[2863].start 24322.72784375
transcript.pyannote[2863].end 24324.48284375
transcript.pyannote[2864].speaker SPEAKER_24
transcript.pyannote[2864].start 24324.88784375
transcript.pyannote[2864].end 24354.65534375
transcript.pyannote[2865].speaker SPEAKER_24
transcript.pyannote[2865].start 24354.90846875
transcript.pyannote[2865].end 24368.91471875
transcript.pyannote[2866].speaker SPEAKER_24
transcript.pyannote[2866].start 24369.03284375
transcript.pyannote[2866].end 24386.48159375
transcript.pyannote[2867].speaker SPEAKER_24
transcript.pyannote[2867].start 24386.78534375
transcript.pyannote[2867].end 24392.42159375
transcript.pyannote[2868].speaker SPEAKER_24
transcript.pyannote[2868].start 24392.70846875
transcript.pyannote[2868].end 24402.59721875
transcript.pyannote[2869].speaker SPEAKER_24
transcript.pyannote[2869].start 24402.85034375
transcript.pyannote[2869].end 24410.37659375
transcript.pyannote[2870].speaker SPEAKER_24
transcript.pyannote[2870].start 24411.13596875
transcript.pyannote[2870].end 24425.10846875
transcript.pyannote[2871].speaker SPEAKER_25
transcript.pyannote[2871].start 24425.37846875
transcript.pyannote[2871].end 24443.67096875
transcript.pyannote[2872].speaker SPEAKER_24
transcript.pyannote[2872].start 24443.45159375
transcript.pyannote[2872].end 24458.36909375
transcript.pyannote[2873].speaker SPEAKER_24
transcript.pyannote[2873].start 24458.60534375
transcript.pyannote[2873].end 24465.25409375
transcript.pyannote[2874].speaker SPEAKER_24
transcript.pyannote[2874].start 24466.03034375
transcript.pyannote[2874].end 24484.67721875
transcript.pyannote[2875].speaker SPEAKER_24
transcript.pyannote[2875].start 24484.79534375
transcript.pyannote[2875].end 24506.63159375
transcript.pyannote[2876].speaker SPEAKER_08
transcript.pyannote[2876].start 24505.72034375
transcript.pyannote[2876].end 24506.22659375
transcript.pyannote[2877].speaker SPEAKER_08
transcript.pyannote[2877].start 24506.63159375
transcript.pyannote[2877].end 24510.88409375
transcript.pyannote[2878].speaker SPEAKER_08
transcript.pyannote[2878].start 24511.17096875
transcript.pyannote[2878].end 24514.78221875
transcript.pyannote[2879].speaker SPEAKER_08
transcript.pyannote[2879].start 24515.11971875
transcript.pyannote[2879].end 24516.23346875
transcript.pyannote[2880].speaker SPEAKER_08
transcript.pyannote[2880].start 24516.52034375
transcript.pyannote[2880].end 24523.87784375
transcript.pyannote[2881].speaker SPEAKER_08
transcript.pyannote[2881].start 24523.92846875
transcript.pyannote[2881].end 24523.94534375
transcript.pyannote[2882].speaker SPEAKER_24
transcript.pyannote[2882].start 24523.94534375
transcript.pyannote[2882].end 24525.51471875
transcript.pyannote[2883].speaker SPEAKER_08
transcript.pyannote[2883].start 24524.82284375
transcript.pyannote[2883].end 24532.04534375
transcript.pyannote[2884].speaker SPEAKER_24
transcript.pyannote[2884].start 24530.86409375
transcript.pyannote[2884].end 24531.45471875
transcript.pyannote[2885].speaker SPEAKER_24
transcript.pyannote[2885].start 24531.94409375
transcript.pyannote[2885].end 24540.06096875
transcript.pyannote[2886].speaker SPEAKER_24
transcript.pyannote[2886].start 24540.29721875
transcript.pyannote[2886].end 24561.37409375
transcript.pyannote[2887].speaker SPEAKER_26
transcript.pyannote[2887].start 24560.19284375
transcript.pyannote[2887].end 24560.80034375
transcript.pyannote[2888].speaker SPEAKER_26
transcript.pyannote[2888].start 24561.35721875
transcript.pyannote[2888].end 24566.04846875
transcript.pyannote[2889].speaker SPEAKER_24
transcript.pyannote[2889].start 24561.44159375
transcript.pyannote[2889].end 24561.64409375
transcript.pyannote[2890].speaker SPEAKER_24
transcript.pyannote[2890].start 24566.80784375
transcript.pyannote[2890].end 24567.07784375
transcript.pyannote[2891].speaker SPEAKER_31
transcript.pyannote[2891].start 24567.07784375
transcript.pyannote[2891].end 24567.09471875
transcript.pyannote[2892].speaker SPEAKER_26
transcript.pyannote[2892].start 24567.71909375
transcript.pyannote[2892].end 24572.03909375
transcript.pyannote[2893].speaker SPEAKER_26
transcript.pyannote[2893].start 24572.49471875
transcript.pyannote[2893].end 24577.70909375
transcript.pyannote[2894].speaker SPEAKER_24
transcript.pyannote[2894].start 24573.37221875
transcript.pyannote[2894].end 24576.44346875
transcript.pyannote[2895].speaker SPEAKER_24
transcript.pyannote[2895].start 24577.01721875
transcript.pyannote[2895].end 24581.06721875
transcript.pyannote[2896].speaker SPEAKER_26
transcript.pyannote[2896].start 24580.66221875
transcript.pyannote[2896].end 24582.16409375
transcript.pyannote[2897].speaker SPEAKER_24
transcript.pyannote[2897].start 24582.36659375
transcript.pyannote[2897].end 24583.96971875
transcript.pyannote[2898].speaker SPEAKER_26
transcript.pyannote[2898].start 24585.20159375
transcript.pyannote[2898].end 24587.24346875
transcript.pyannote[2899].speaker SPEAKER_24
transcript.pyannote[2899].start 24586.95659375
transcript.pyannote[2899].end 24589.06596875
transcript.pyannote[2900].speaker SPEAKER_26
transcript.pyannote[2900].start 24587.98596875
transcript.pyannote[2900].end 24589.80846875
transcript.pyannote[2901].speaker SPEAKER_26
transcript.pyannote[2901].start 24590.06159375
transcript.pyannote[2901].end 24590.43284375
transcript.pyannote[2902].speaker SPEAKER_26
transcript.pyannote[2902].start 24590.80409375
transcript.pyannote[2902].end 24593.80784375
transcript.pyannote[2903].speaker SPEAKER_24
transcript.pyannote[2903].start 24591.02346875
transcript.pyannote[2903].end 24591.90096875
transcript.pyannote[2904].speaker SPEAKER_24
transcript.pyannote[2904].start 24592.57596875
transcript.pyannote[2904].end 24593.08221875
transcript.pyannote[2905].speaker SPEAKER_24
transcript.pyannote[2905].start 24594.02721875
transcript.pyannote[2905].end 24596.17034375
transcript.pyannote[2906].speaker SPEAKER_26
transcript.pyannote[2906].start 24596.17034375
transcript.pyannote[2906].end 24602.81909375
transcript.pyannote[2907].speaker SPEAKER_24
transcript.pyannote[2907].start 24597.87471875
transcript.pyannote[2907].end 24597.99284375
transcript.pyannote[2908].speaker SPEAKER_24
transcript.pyannote[2908].start 24601.84034375
transcript.pyannote[2908].end 24602.41409375
transcript.pyannote[2909].speaker SPEAKER_24
transcript.pyannote[2909].start 24602.81909375
transcript.pyannote[2909].end 24604.64159375
transcript.pyannote[2910].speaker SPEAKER_26
transcript.pyannote[2910].start 24602.83596875
transcript.pyannote[2910].end 24602.93721875
transcript.pyannote[2911].speaker SPEAKER_26
transcript.pyannote[2911].start 24603.51096875
transcript.pyannote[2911].end 24603.64596875
transcript.pyannote[2912].speaker SPEAKER_26
transcript.pyannote[2912].start 24604.27034375
transcript.pyannote[2912].end 24605.14784375
transcript.pyannote[2913].speaker SPEAKER_24
transcript.pyannote[2913].start 24605.14784375
transcript.pyannote[2913].end 24605.56971875
transcript.pyannote[2914].speaker SPEAKER_24
transcript.pyannote[2914].start 24605.94096875
transcript.pyannote[2914].end 24649.79909375
transcript.pyannote[2915].speaker SPEAKER_24
transcript.pyannote[2915].start 24649.96784375
transcript.pyannote[2915].end 24682.62096875
transcript.pyannote[2916].speaker SPEAKER_08
transcript.pyannote[2916].start 24680.08971875
transcript.pyannote[2916].end 24680.96721875
transcript.pyannote[2917].speaker SPEAKER_08
transcript.pyannote[2917].start 24681.54096875
transcript.pyannote[2917].end 24685.55721875
transcript.pyannote[2918].speaker SPEAKER_24
transcript.pyannote[2918].start 24685.32096875
transcript.pyannote[2918].end 24686.26596875
transcript.pyannote[2919].speaker SPEAKER_08
transcript.pyannote[2919].start 24685.64159375
transcript.pyannote[2919].end 24686.82284375
transcript.pyannote[2920].speaker SPEAKER_08
transcript.pyannote[2920].start 24688.02096875
transcript.pyannote[2920].end 24689.18534375
transcript.pyannote[2921].speaker SPEAKER_08
transcript.pyannote[2921].start 24689.57346875
transcript.pyannote[2921].end 24690.53534375
transcript.pyannote[2922].speaker SPEAKER_08
transcript.pyannote[2922].start 24691.00784375
transcript.pyannote[2922].end 24693.31971875
transcript.pyannote[2923].speaker SPEAKER_08
transcript.pyannote[2923].start 24693.55596875
transcript.pyannote[2923].end 24697.20096875
transcript.pyannote[2924].speaker SPEAKER_24
transcript.pyannote[2924].start 24696.35721875
transcript.pyannote[2924].end 24704.57534375
transcript.pyannote[2925].speaker SPEAKER_08
transcript.pyannote[2925].start 24703.14096875
transcript.pyannote[2925].end 24709.24971875
transcript.pyannote[2926].speaker SPEAKER_24
transcript.pyannote[2926].start 24708.49034375
transcript.pyannote[2926].end 24709.03034375
transcript.pyannote[2927].speaker SPEAKER_08
transcript.pyannote[2927].start 24709.33409375
transcript.pyannote[2927].end 24709.40159375
transcript.pyannote[2928].speaker SPEAKER_24
transcript.pyannote[2928].start 24709.40159375
transcript.pyannote[2928].end 24709.43534375
transcript.pyannote[2929].speaker SPEAKER_08
transcript.pyannote[2929].start 24709.43534375
transcript.pyannote[2929].end 24709.45221875
transcript.pyannote[2930].speaker SPEAKER_24
transcript.pyannote[2930].start 24709.45221875
transcript.pyannote[2930].end 24709.46909375
transcript.pyannote[2931].speaker SPEAKER_08
transcript.pyannote[2931].start 24709.46909375
transcript.pyannote[2931].end 24711.00471875
transcript.pyannote[2932].speaker SPEAKER_24
transcript.pyannote[2932].start 24709.73909375
transcript.pyannote[2932].end 24736.43534375
transcript.pyannote[2933].speaker SPEAKER_24
transcript.pyannote[2933].start 24737.34659375
transcript.pyannote[2933].end 24746.59409375
transcript.pyannote[2934].speaker SPEAKER_08
transcript.pyannote[2934].start 24746.59409375
transcript.pyannote[2934].end 24746.71221875
transcript.pyannote[2935].speaker SPEAKER_25
transcript.pyannote[2935].start 24746.71221875
transcript.pyannote[2935].end 24746.84721875
transcript.pyannote[2936].speaker SPEAKER_08
transcript.pyannote[2936].start 24746.84721875
transcript.pyannote[2936].end 24747.38721875
transcript.pyannote[2937].speaker SPEAKER_25
transcript.pyannote[2937].start 24747.38721875
transcript.pyannote[2937].end 24761.76471875
transcript.pyannote[2938].speaker SPEAKER_08
transcript.pyannote[2938].start 24748.36596875
transcript.pyannote[2938].end 24748.39971875
transcript.pyannote[2939].speaker SPEAKER_08
transcript.pyannote[2939].start 24748.51784375
transcript.pyannote[2939].end 24748.55159375
transcript.pyannote[2940].speaker SPEAKER_24
transcript.pyannote[2940].start 24762.06846875
transcript.pyannote[2940].end 24771.29909375
transcript.pyannote[2941].speaker SPEAKER_24
transcript.pyannote[2941].start 24771.43409375
transcript.pyannote[2941].end 24782.25096875
transcript.pyannote[2942].speaker SPEAKER_08
transcript.pyannote[2942].start 24780.15846875
transcript.pyannote[2942].end 24784.95096875
transcript.pyannote[2943].speaker SPEAKER_24
transcript.pyannote[2943].start 24782.90909375
transcript.pyannote[2943].end 24783.14534375
transcript.pyannote[2944].speaker SPEAKER_24
transcript.pyannote[2944].start 24784.74846875
transcript.pyannote[2944].end 24785.49096875
transcript.pyannote[2945].speaker SPEAKER_08
transcript.pyannote[2945].start 24785.49096875
transcript.pyannote[2945].end 24790.41846875
transcript.pyannote[2946].speaker SPEAKER_24
transcript.pyannote[2946].start 24790.62096875
transcript.pyannote[2946].end 24795.14346875
transcript.pyannote[2947].speaker SPEAKER_24
transcript.pyannote[2947].start 24795.64971875
transcript.pyannote[2947].end 24800.20596875
transcript.pyannote[2948].speaker SPEAKER_24
transcript.pyannote[2948].start 24800.37471875
transcript.pyannote[2948].end 24808.98096875
transcript.pyannote[2949].speaker SPEAKER_08
transcript.pyannote[2949].start 24808.33971875
transcript.pyannote[2949].end 24811.61346875
transcript.pyannote[2950].speaker SPEAKER_24
transcript.pyannote[2950].start 24811.79909375
transcript.pyannote[2950].end 24813.13221875
transcript.pyannote[2951].speaker SPEAKER_08
transcript.pyannote[2951].start 24812.40659375
transcript.pyannote[2951].end 24817.72221875
transcript.pyannote[2952].speaker SPEAKER_24
transcript.pyannote[2952].start 24817.19909375
transcript.pyannote[2952].end 24819.96659375
transcript.pyannote[2953].speaker SPEAKER_08
transcript.pyannote[2953].start 24819.96659375
transcript.pyannote[2953].end 24823.51034375
transcript.pyannote[2954].speaker SPEAKER_25
transcript.pyannote[2954].start 24822.39659375
transcript.pyannote[2954].end 24831.00284375
transcript.pyannote[2955].speaker SPEAKER_24
transcript.pyannote[2955].start 24827.27346875
transcript.pyannote[2955].end 24828.11721875
transcript.pyannote[2956].speaker SPEAKER_24
transcript.pyannote[2956].start 24831.08721875
transcript.pyannote[2956].end 24839.01846875
transcript.pyannote[2957].speaker SPEAKER_27
transcript.pyannote[2957].start 24837.06096875
transcript.pyannote[2957].end 24838.37721875
transcript.pyannote[2958].speaker SPEAKER_27
transcript.pyannote[2958].start 24839.08596875
transcript.pyannote[2958].end 24856.45034375
transcript.pyannote[2959].speaker SPEAKER_18
transcript.pyannote[2959].start 24849.73409375
transcript.pyannote[2959].end 24850.03784375
transcript.pyannote[2960].speaker SPEAKER_24
transcript.pyannote[2960].start 24850.03784375
transcript.pyannote[2960].end 24850.79721875
transcript.pyannote[2961].speaker SPEAKER_18
transcript.pyannote[2961].start 24850.79721875
transcript.pyannote[2961].end 24850.84784375
transcript.pyannote[2962].speaker SPEAKER_24
transcript.pyannote[2962].start 24850.84784375
transcript.pyannote[2962].end 24850.91534375
transcript.pyannote[2963].speaker SPEAKER_18
transcript.pyannote[2963].start 24850.91534375
transcript.pyannote[2963].end 24850.96596875
transcript.pyannote[2964].speaker SPEAKER_24
transcript.pyannote[2964].start 24855.43784375
transcript.pyannote[2964].end 24875.08034375
transcript.pyannote[2965].speaker SPEAKER_27
transcript.pyannote[2965].start 24874.59096875
transcript.pyannote[2965].end 24884.26034375
transcript.pyannote[2966].speaker SPEAKER_24
transcript.pyannote[2966].start 24882.52221875
transcript.pyannote[2966].end 24882.55596875
transcript.pyannote[2967].speaker SPEAKER_24
transcript.pyannote[2967].start 24883.09596875
transcript.pyannote[2967].end 24904.05471875
transcript.pyannote[2968].speaker SPEAKER_08
transcript.pyannote[2968].start 24903.44721875
transcript.pyannote[2968].end 24904.03784375
transcript.pyannote[2969].speaker SPEAKER_08
transcript.pyannote[2969].start 24904.05471875
transcript.pyannote[2969].end 24909.08346875
transcript.pyannote[2970].speaker SPEAKER_08
transcript.pyannote[2970].start 24909.69096875
transcript.pyannote[2970].end 24911.64846875
transcript.pyannote[2971].speaker SPEAKER_24
transcript.pyannote[2971].start 24910.06221875
transcript.pyannote[2971].end 24911.47971875
transcript.pyannote[2972].speaker SPEAKER_24
transcript.pyannote[2972].start 24911.73284375
transcript.pyannote[2972].end 24921.03096875
transcript.pyannote[2973].speaker SPEAKER_24
transcript.pyannote[2973].start 24921.08159375
transcript.pyannote[2973].end 24924.20346875
transcript.pyannote[2974].speaker SPEAKER_24
transcript.pyannote[2974].start 24924.60846875
transcript.pyannote[2974].end 24965.05784375
transcript.pyannote[2975].speaker SPEAKER_02
transcript.pyannote[2975].start 24965.93534375
transcript.pyannote[2975].end 24967.16721875
transcript.pyannote[2976].speaker SPEAKER_02
transcript.pyannote[2976].start 24967.30221875
transcript.pyannote[2976].end 24968.07846875
transcript.pyannote[2977].speaker SPEAKER_24
transcript.pyannote[2977].start 24967.31909375
transcript.pyannote[2977].end 24968.17971875
transcript.pyannote[2978].speaker SPEAKER_02
transcript.pyannote[2978].start 24968.17971875
transcript.pyannote[2978].end 24968.55096875
transcript.pyannote[2979].speaker SPEAKER_02
transcript.pyannote[2979].start 24969.09096875
transcript.pyannote[2979].end 24969.37784375
transcript.pyannote[2980].speaker SPEAKER_02
transcript.pyannote[2980].start 24969.76596875
transcript.pyannote[2980].end 24971.68971875
transcript.pyannote[2981].speaker SPEAKER_24
transcript.pyannote[2981].start 24972.31409375
transcript.pyannote[2981].end 24976.00971875
transcript.pyannote[2982].speaker SPEAKER_02
transcript.pyannote[2982].start 24976.93784375
transcript.pyannote[2982].end 24978.79409375
transcript.pyannote[2983].speaker SPEAKER_02
transcript.pyannote[2983].start 24979.11471875
transcript.pyannote[2983].end 24979.13159375
transcript.pyannote[2984].speaker SPEAKER_24
transcript.pyannote[2984].start 24979.13159375
transcript.pyannote[2984].end 24980.11034375
transcript.pyannote[2985].speaker SPEAKER_02
transcript.pyannote[2985].start 24979.14846875
transcript.pyannote[2985].end 24984.76784375
transcript.pyannote[2986].speaker SPEAKER_24
transcript.pyannote[2986].start 24980.90346875
transcript.pyannote[2986].end 24981.74721875
transcript.pyannote[2987].speaker SPEAKER_24
transcript.pyannote[2987].start 24982.16909375
transcript.pyannote[2987].end 24983.58659375
transcript.pyannote[2988].speaker SPEAKER_24
transcript.pyannote[2988].start 24983.75534375
transcript.pyannote[2988].end 24984.16034375
transcript.pyannote[2989].speaker SPEAKER_33
transcript.pyannote[2989].start 24984.16034375
transcript.pyannote[2989].end 24984.54846875
transcript.pyannote[2990].speaker SPEAKER_24
transcript.pyannote[2990].start 24985.17284375
transcript.pyannote[2990].end 24989.03721875
transcript.pyannote[2991].speaker SPEAKER_02
transcript.pyannote[2991].start 24989.03721875
transcript.pyannote[2991].end 25003.00971875
transcript.pyannote[2992].speaker SPEAKER_24
transcript.pyannote[2992].start 25000.59659375
transcript.pyannote[2992].end 25011.16034375
transcript.pyannote[2993].speaker SPEAKER_02
transcript.pyannote[2993].start 25007.22846875
transcript.pyannote[2993].end 25008.66284375
transcript.pyannote[2994].speaker SPEAKER_02
transcript.pyannote[2994].start 25011.16034375
transcript.pyannote[2994].end 25024.71096875
transcript.pyannote[2995].speaker SPEAKER_24
transcript.pyannote[2995].start 25023.73221875
transcript.pyannote[2995].end 25024.42409375
transcript.pyannote[2996].speaker SPEAKER_24
transcript.pyannote[2996].start 25024.71096875
transcript.pyannote[2996].end 25055.01846875
transcript.pyannote[2997].speaker SPEAKER_02
transcript.pyannote[2997].start 25024.81221875
transcript.pyannote[2997].end 25025.13284375
transcript.pyannote[2998].speaker SPEAKER_02
transcript.pyannote[2998].start 25031.30909375
transcript.pyannote[2998].end 25032.01784375
transcript.pyannote[2999].speaker SPEAKER_02
transcript.pyannote[2999].start 25032.23721875
transcript.pyannote[2999].end 25032.28784375
transcript.pyannote[3000].speaker SPEAKER_33
transcript.pyannote[3000].start 25045.73721875
transcript.pyannote[3000].end 25046.19284375
transcript.pyannote[3001].speaker SPEAKER_02
transcript.pyannote[3001].start 25052.25096875
transcript.pyannote[3001].end 25052.82471875
transcript.pyannote[3002].speaker SPEAKER_02
transcript.pyannote[3002].start 25054.09034375
transcript.pyannote[3002].end 25065.61596875
transcript.pyannote[3003].speaker SPEAKER_24
transcript.pyannote[3003].start 25063.96221875
transcript.pyannote[3003].end 25068.72096875
transcript.pyannote[3004].speaker SPEAKER_02
transcript.pyannote[3004].start 25065.85221875
transcript.pyannote[3004].end 25065.86909375
transcript.pyannote[3005].speaker SPEAKER_02
transcript.pyannote[3005].start 25065.93659375
transcript.pyannote[3005].end 25065.97034375
transcript.pyannote[3006].speaker SPEAKER_02
transcript.pyannote[3006].start 25066.03784375
transcript.pyannote[3006].end 25072.50096875
transcript.pyannote[3007].speaker SPEAKER_24
transcript.pyannote[3007].start 25070.94846875
transcript.pyannote[3007].end 25077.76596875
transcript.pyannote[3008].speaker SPEAKER_02
transcript.pyannote[3008].start 25077.44534375
transcript.pyannote[3008].end 25079.68971875
transcript.pyannote[3009].speaker SPEAKER_24
transcript.pyannote[3009].start 25079.68971875
transcript.pyannote[3009].end 25082.38971875
transcript.pyannote[3010].speaker SPEAKER_24
transcript.pyannote[3010].start 25083.08159375
transcript.pyannote[3010].end 25083.62159375
transcript.pyannote[3011].speaker SPEAKER_08
transcript.pyannote[3011].start 25083.90846875
transcript.pyannote[3011].end 25087.33409375
transcript.pyannote[3012].speaker SPEAKER_24
transcript.pyannote[3012].start 25085.30909375
transcript.pyannote[3012].end 25104.37784375
transcript.pyannote[3013].speaker SPEAKER_24
transcript.pyannote[3013].start 25104.42846875
transcript.pyannote[3013].end 25113.22034375
transcript.pyannote[3014].speaker SPEAKER_24
transcript.pyannote[3014].start 25113.28784375
transcript.pyannote[3014].end 25117.43909375
transcript.pyannote[3015].speaker SPEAKER_02
transcript.pyannote[3015].start 25116.44346875
transcript.pyannote[3015].end 25119.58221875
transcript.pyannote[3016].speaker SPEAKER_24
transcript.pyannote[3016].start 25119.58221875
transcript.pyannote[3016].end 25128.40784375
transcript.pyannote[3017].speaker SPEAKER_02
transcript.pyannote[3017].start 25126.43346875
transcript.pyannote[3017].end 25133.14971875
transcript.pyannote[3018].speaker SPEAKER_24
transcript.pyannote[3018].start 25132.99784375
transcript.pyannote[3018].end 25143.15659375
transcript.pyannote[3019].speaker SPEAKER_02
transcript.pyannote[3019].start 25133.16659375
transcript.pyannote[3019].end 25134.06096875
transcript.pyannote[3020].speaker SPEAKER_24
transcript.pyannote[3020].start 25147.83096875
transcript.pyannote[3020].end 25149.43409375
transcript.pyannote[3021].speaker SPEAKER_24
transcript.pyannote[3021].start 25153.01159375
transcript.pyannote[3021].end 25154.81721875
transcript.pyannote[3022].speaker SPEAKER_26
transcript.pyannote[3022].start 25160.53784375
transcript.pyannote[3022].end 25164.38534375
transcript.pyannote[3023].speaker SPEAKER_26
transcript.pyannote[3023].start 25165.07721875
transcript.pyannote[3023].end 25168.97534375
transcript.pyannote[3024].speaker SPEAKER_26
transcript.pyannote[3024].start 25169.29596875
transcript.pyannote[3024].end 25172.60346875
transcript.pyannote[3025].speaker SPEAKER_26
transcript.pyannote[3025].start 25172.87346875
transcript.pyannote[3025].end 25174.89846875
transcript.pyannote[3026].speaker SPEAKER_28
transcript.pyannote[3026].start 25185.12471875
transcript.pyannote[3026].end 25187.57159375
transcript.pyannote[3027].speaker SPEAKER_26
transcript.pyannote[3027].start 25188.11159375
transcript.pyannote[3027].end 25189.52909375
transcript.pyannote[3028].speaker SPEAKER_28
transcript.pyannote[3028].start 25188.21284375
transcript.pyannote[3028].end 25189.00596875
transcript.pyannote[3029].speaker SPEAKER_28
transcript.pyannote[3029].start 25189.17471875
transcript.pyannote[3029].end 25190.82846875
transcript.pyannote[3030].speaker SPEAKER_26
transcript.pyannote[3030].start 25191.25034375
transcript.pyannote[3030].end 25192.07721875
transcript.pyannote[3031].speaker SPEAKER_26
transcript.pyannote[3031].start 25192.46534375
transcript.pyannote[3031].end 25192.53284375
transcript.pyannote[3032].speaker SPEAKER_28
transcript.pyannote[3032].start 25192.53284375
transcript.pyannote[3032].end 25193.00534375
transcript.pyannote[3033].speaker SPEAKER_28
transcript.pyannote[3033].start 25193.25846875
transcript.pyannote[3033].end 25194.40596875
transcript.pyannote[3034].speaker SPEAKER_28
transcript.pyannote[3034].start 25194.72659375
transcript.pyannote[3034].end 25194.84471875
transcript.pyannote[3035].speaker SPEAKER_28
transcript.pyannote[3035].start 25197.59534375
transcript.pyannote[3035].end 25198.15221875
transcript.pyannote[3036].speaker SPEAKER_28
transcript.pyannote[3036].start 25198.64159375
transcript.pyannote[3036].end 25200.07596875
transcript.pyannote[3037].speaker SPEAKER_28
transcript.pyannote[3037].start 25200.29534375
transcript.pyannote[3037].end 25200.63284375
transcript.pyannote[3038].speaker SPEAKER_28
transcript.pyannote[3038].start 25200.86909375
transcript.pyannote[3038].end 25202.03346875
transcript.pyannote[3039].speaker SPEAKER_28
transcript.pyannote[3039].start 25202.65784375
transcript.pyannote[3039].end 25205.34096875
transcript.pyannote[3040].speaker SPEAKER_28
transcript.pyannote[3040].start 25205.71221875
transcript.pyannote[3040].end 25206.72471875
transcript.pyannote[3041].speaker SPEAKER_28
transcript.pyannote[3041].start 25207.23096875
transcript.pyannote[3041].end 25208.46284375
transcript.pyannote[3042].speaker SPEAKER_28
transcript.pyannote[3042].start 25208.80034375
transcript.pyannote[3042].end 25211.26409375
transcript.pyannote[3043].speaker SPEAKER_28
transcript.pyannote[3043].start 25211.65221875
transcript.pyannote[3043].end 25212.34409375
transcript.pyannote[3044].speaker SPEAKER_28
transcript.pyannote[3044].start 25212.59721875
transcript.pyannote[3044].end 25213.32284375
transcript.pyannote[3045].speaker SPEAKER_28
transcript.pyannote[3045].start 25213.50846875
transcript.pyannote[3045].end 25214.04846875
transcript.pyannote[3046].speaker SPEAKER_28
transcript.pyannote[3046].start 25214.57159375
transcript.pyannote[3046].end 25216.05659375
transcript.pyannote[3047].speaker SPEAKER_28
transcript.pyannote[3047].start 25216.41096875
transcript.pyannote[3047].end 25219.68471875
transcript.pyannote[3048].speaker SPEAKER_28
transcript.pyannote[3048].start 25219.93784375
transcript.pyannote[3048].end 25221.13596875
transcript.pyannote[3049].speaker SPEAKER_08
transcript.pyannote[3049].start 25220.93346875
transcript.pyannote[3049].end 25224.07221875
transcript.pyannote[3050].speaker SPEAKER_28
transcript.pyannote[3050].start 25223.43096875
transcript.pyannote[3050].end 25227.71721875
transcript.pyannote[3051].speaker SPEAKER_28
transcript.pyannote[3051].start 25227.93659375
transcript.pyannote[3051].end 25229.43846875
transcript.pyannote[3052].speaker SPEAKER_28
transcript.pyannote[3052].start 25229.72534375
transcript.pyannote[3052].end 25231.04159375
transcript.pyannote[3053].speaker SPEAKER_28
transcript.pyannote[3053].start 25231.26096875
transcript.pyannote[3053].end 25232.18909375
transcript.pyannote[3054].speaker SPEAKER_28
transcript.pyannote[3054].start 25232.79659375
transcript.pyannote[3054].end 25234.33221875
transcript.pyannote[3055].speaker SPEAKER_28
transcript.pyannote[3055].start 25234.53471875
transcript.pyannote[3055].end 25235.51346875
transcript.pyannote[3056].speaker SPEAKER_28
transcript.pyannote[3056].start 25236.39096875
transcript.pyannote[3056].end 25237.58909375
transcript.pyannote[3057].speaker SPEAKER_28
transcript.pyannote[3057].start 25238.17971875
transcript.pyannote[3057].end 25239.00659375
transcript.pyannote[3058].speaker SPEAKER_28
transcript.pyannote[3058].start 25239.61409375
transcript.pyannote[3058].end 25240.37346875
transcript.pyannote[3059].speaker SPEAKER_08
transcript.pyannote[3059].start 25241.20034375
transcript.pyannote[3059].end 25241.85846875
transcript.pyannote[3060].speaker SPEAKER_08
transcript.pyannote[3060].start 25241.97659375
transcript.pyannote[3060].end 25243.51221875
transcript.pyannote[3061].speaker SPEAKER_08
transcript.pyannote[3061].start 25243.74846875
transcript.pyannote[3061].end 25246.49909375
transcript.pyannote[3062].speaker SPEAKER_08
transcript.pyannote[3062].start 25246.60034375
transcript.pyannote[3062].end 25250.76846875
transcript.pyannote[3063].speaker SPEAKER_08
transcript.pyannote[3063].start 25251.03846875
transcript.pyannote[3063].end 25254.17721875
transcript.pyannote[3064].speaker SPEAKER_28
transcript.pyannote[3064].start 25251.24096875
transcript.pyannote[3064].end 25251.37596875
transcript.pyannote[3065].speaker SPEAKER_28
transcript.pyannote[3065].start 25254.37971875
transcript.pyannote[3065].end 25257.68721875
transcript.pyannote[3066].speaker SPEAKER_28
transcript.pyannote[3066].start 25258.09221875
transcript.pyannote[3066].end 25260.69096875
transcript.pyannote[3067].speaker SPEAKER_28
transcript.pyannote[3067].start 25261.16346875
transcript.pyannote[3067].end 25262.56409375
transcript.pyannote[3068].speaker SPEAKER_28
transcript.pyannote[3068].start 25263.01971875
transcript.pyannote[3068].end 25265.39909375
transcript.pyannote[3069].speaker SPEAKER_28
transcript.pyannote[3069].start 25265.92221875
transcript.pyannote[3069].end 25269.31409375
transcript.pyannote[3070].speaker SPEAKER_28
transcript.pyannote[3070].start 25269.43221875
transcript.pyannote[3070].end 25270.20846875
transcript.pyannote[3071].speaker SPEAKER_28
transcript.pyannote[3071].start 25270.34346875
transcript.pyannote[3071].end 25274.62971875
transcript.pyannote[3072].speaker SPEAKER_28
transcript.pyannote[3072].start 25275.16971875
transcript.pyannote[3072].end 25290.42471875
transcript.pyannote[3073].speaker SPEAKER_28
transcript.pyannote[3073].start 25290.71159375
transcript.pyannote[3073].end 25292.23034375
transcript.pyannote[3074].speaker SPEAKER_28
transcript.pyannote[3074].start 25292.28096875
transcript.pyannote[3074].end 25295.50409375
transcript.pyannote[3075].speaker SPEAKER_28
transcript.pyannote[3075].start 25295.67284375
transcript.pyannote[3075].end 25296.22971875
transcript.pyannote[3076].speaker SPEAKER_28
transcript.pyannote[3076].start 25297.10721875
transcript.pyannote[3076].end 25297.59659375
transcript.pyannote[3077].speaker SPEAKER_28
transcript.pyannote[3077].start 25297.95096875
transcript.pyannote[3077].end 25299.28409375
transcript.pyannote[3078].speaker SPEAKER_28
transcript.pyannote[3078].start 25300.00971875
transcript.pyannote[3078].end 25302.15284375
transcript.pyannote[3079].speaker SPEAKER_28
transcript.pyannote[3079].start 25302.64221875
transcript.pyannote[3079].end 25303.06409375
transcript.pyannote[3080].speaker SPEAKER_28
transcript.pyannote[3080].start 25303.55346875
transcript.pyannote[3080].end 25303.90784375
transcript.pyannote[3081].speaker SPEAKER_28
transcript.pyannote[3081].start 25304.05971875
transcript.pyannote[3081].end 25306.20284375
transcript.pyannote[3082].speaker SPEAKER_28
transcript.pyannote[3082].start 25306.67534375
transcript.pyannote[3082].end 25307.82284375
transcript.pyannote[3083].speaker SPEAKER_28
transcript.pyannote[3083].start 25308.61596875
transcript.pyannote[3083].end 25312.10909375
transcript.pyannote[3084].speaker SPEAKER_28
transcript.pyannote[3084].start 25312.71659375
transcript.pyannote[3084].end 25313.59409375
transcript.pyannote[3085].speaker SPEAKER_28
transcript.pyannote[3085].start 25313.81346875
transcript.pyannote[3085].end 25314.30284375
transcript.pyannote[3086].speaker SPEAKER_28
transcript.pyannote[3086].start 25315.09596875
transcript.pyannote[3086].end 25318.85909375
transcript.pyannote[3087].speaker SPEAKER_28
transcript.pyannote[3087].start 25319.09534375
transcript.pyannote[3087].end 25324.49534375
transcript.pyannote[3088].speaker SPEAKER_28
transcript.pyannote[3088].start 25324.96784375
transcript.pyannote[3088].end 25332.66284375
transcript.pyannote[3089].speaker SPEAKER_28
transcript.pyannote[3089].start 25332.96659375
transcript.pyannote[3089].end 25334.80596875
transcript.pyannote[3090].speaker SPEAKER_28
transcript.pyannote[3090].start 25334.85659375
transcript.pyannote[3090].end 25335.76784375
transcript.pyannote[3091].speaker SPEAKER_28
transcript.pyannote[3091].start 25336.44284375
transcript.pyannote[3091].end 25352.03534375
transcript.pyannote[3092].speaker SPEAKER_28
transcript.pyannote[3092].start 25352.37284375
transcript.pyannote[3092].end 25359.89909375
transcript.pyannote[3093].speaker SPEAKER_28
transcript.pyannote[3093].start 25360.30409375
transcript.pyannote[3093].end 25375.05284375
transcript.pyannote[3094].speaker SPEAKER_28
transcript.pyannote[3094].start 25375.39034375
transcript.pyannote[3094].end 25380.38534375
transcript.pyannote[3095].speaker SPEAKER_28
transcript.pyannote[3095].start 25380.70596875
transcript.pyannote[3095].end 25383.03471875
transcript.pyannote[3096].speaker SPEAKER_28
transcript.pyannote[3096].start 25383.20346875
transcript.pyannote[3096].end 25385.22846875
transcript.pyannote[3097].speaker SPEAKER_28
transcript.pyannote[3097].start 25385.90346875
transcript.pyannote[3097].end 25386.73034375
transcript.pyannote[3098].speaker SPEAKER_28
transcript.pyannote[3098].start 25387.10159375
transcript.pyannote[3098].end 25387.62471875
transcript.pyannote[3099].speaker SPEAKER_28
transcript.pyannote[3099].start 25388.24909375
transcript.pyannote[3099].end 25389.95346875
transcript.pyannote[3100].speaker SPEAKER_28
transcript.pyannote[3100].start 25390.62846875
transcript.pyannote[3100].end 25395.65721875
transcript.pyannote[3101].speaker SPEAKER_28
transcript.pyannote[3101].start 25395.96096875
transcript.pyannote[3101].end 25398.39096875
transcript.pyannote[3102].speaker SPEAKER_28
transcript.pyannote[3102].start 25398.64409375
transcript.pyannote[3102].end 25402.20471875
transcript.pyannote[3103].speaker SPEAKER_28
transcript.pyannote[3103].start 25402.64346875
transcript.pyannote[3103].end 25403.99346875
transcript.pyannote[3104].speaker SPEAKER_28
transcript.pyannote[3104].start 25404.56721875
transcript.pyannote[3104].end 25405.17471875
transcript.pyannote[3105].speaker SPEAKER_28
transcript.pyannote[3105].start 25405.76534375
transcript.pyannote[3105].end 25408.54971875
transcript.pyannote[3106].speaker SPEAKER_28
transcript.pyannote[3106].start 25408.83659375
transcript.pyannote[3106].end 25409.98409375
transcript.pyannote[3107].speaker SPEAKER_28
transcript.pyannote[3107].start 25410.16971875
transcript.pyannote[3107].end 25411.77284375
transcript.pyannote[3108].speaker SPEAKER_28
transcript.pyannote[3108].start 25411.95846875
transcript.pyannote[3108].end 25416.64971875
transcript.pyannote[3109].speaker SPEAKER_28
transcript.pyannote[3109].start 25417.27409375
transcript.pyannote[3109].end 25418.05034375
transcript.pyannote[3110].speaker SPEAKER_28
transcript.pyannote[3110].start 25418.45534375
transcript.pyannote[3110].end 25419.53534375
transcript.pyannote[3111].speaker SPEAKER_28
transcript.pyannote[3111].start 25419.73784375
transcript.pyannote[3111].end 25420.63221875
transcript.pyannote[3112].speaker SPEAKER_28
transcript.pyannote[3112].start 25421.13846875
transcript.pyannote[3112].end 25422.60659375
transcript.pyannote[3113].speaker SPEAKER_28
transcript.pyannote[3113].start 25423.21409375
transcript.pyannote[3113].end 25432.10721875
transcript.pyannote[3114].speaker SPEAKER_28
transcript.pyannote[3114].start 25432.44471875
transcript.pyannote[3114].end 25434.60471875
transcript.pyannote[3115].speaker SPEAKER_28
transcript.pyannote[3115].start 25434.97596875
transcript.pyannote[3115].end 25440.79784375
transcript.pyannote[3116].speaker SPEAKER_28
transcript.pyannote[3116].start 25441.21971875
transcript.pyannote[3116].end 25441.64159375
transcript.pyannote[3117].speaker SPEAKER_28
transcript.pyannote[3117].start 25441.97909375
transcript.pyannote[3117].end 25443.63284375
transcript.pyannote[3118].speaker SPEAKER_28
transcript.pyannote[3118].start 25443.97034375
transcript.pyannote[3118].end 25445.48909375
transcript.pyannote[3119].speaker SPEAKER_28
transcript.pyannote[3119].start 25445.59034375
transcript.pyannote[3119].end 25446.24846875
transcript.pyannote[3120].speaker SPEAKER_28
transcript.pyannote[3120].start 25446.60284375
transcript.pyannote[3120].end 25447.86846875
transcript.pyannote[3121].speaker SPEAKER_08
transcript.pyannote[3121].start 25448.47596875
transcript.pyannote[3121].end 25451.02409375
transcript.pyannote[3122].speaker SPEAKER_08
transcript.pyannote[3122].start 25451.44596875
transcript.pyannote[3122].end 25452.49221875
transcript.pyannote[3123].speaker SPEAKER_08
transcript.pyannote[3123].start 25452.67784375
transcript.pyannote[3123].end 25454.09534375
transcript.pyannote[3124].speaker SPEAKER_08
transcript.pyannote[3124].start 25454.51721875
transcript.pyannote[3124].end 25455.71534375
transcript.pyannote[3125].speaker SPEAKER_08
transcript.pyannote[3125].start 25455.88409375
transcript.pyannote[3125].end 25457.84159375
transcript.pyannote[3126].speaker SPEAKER_08
transcript.pyannote[3126].start 25458.06096875
transcript.pyannote[3126].end 25458.80346875
transcript.pyannote[3127].speaker SPEAKER_08
transcript.pyannote[3127].start 25459.02284375
transcript.pyannote[3127].end 25460.81159375
transcript.pyannote[3128].speaker SPEAKER_08
transcript.pyannote[3128].start 25460.91284375
transcript.pyannote[3128].end 25461.99284375
transcript.pyannote[3129].speaker SPEAKER_08
transcript.pyannote[3129].start 25462.41471875
transcript.pyannote[3129].end 25463.12346875
transcript.pyannote[3130].speaker SPEAKER_08
transcript.pyannote[3130].start 25463.52846875
transcript.pyannote[3130].end 25465.97534375
transcript.pyannote[3131].speaker SPEAKER_08
transcript.pyannote[3131].start 25466.12721875
transcript.pyannote[3131].end 25468.37159375
transcript.pyannote[3132].speaker SPEAKER_08
transcript.pyannote[3132].start 25468.38846875
transcript.pyannote[3132].end 25469.72159375
transcript.pyannote[3133].speaker SPEAKER_08
transcript.pyannote[3133].start 25469.97471875
transcript.pyannote[3133].end 25471.74659375
transcript.pyannote[3134].speaker SPEAKER_08
transcript.pyannote[3134].start 25471.83096875
transcript.pyannote[3134].end 25472.59034375
transcript.pyannote[3135].speaker SPEAKER_08
transcript.pyannote[3135].start 25472.87721875
transcript.pyannote[3135].end 25473.67034375
transcript.pyannote[3136].speaker SPEAKER_08
transcript.pyannote[3136].start 25473.77159375
transcript.pyannote[3136].end 25474.88534375
transcript.pyannote[3137].speaker SPEAKER_08
transcript.pyannote[3137].start 25475.17221875
transcript.pyannote[3137].end 25477.72034375
transcript.pyannote[3138].speaker SPEAKER_08
transcript.pyannote[3138].start 25478.69909375
transcript.pyannote[3138].end 25479.27284375
transcript.pyannote[3139].speaker SPEAKER_08
transcript.pyannote[3139].start 25479.79596875
transcript.pyannote[3139].end 25483.01909375
transcript.pyannote[3140].speaker SPEAKER_08
transcript.pyannote[3140].start 25483.30596875
transcript.pyannote[3140].end 25484.08221875
transcript.pyannote[3141].speaker SPEAKER_08
transcript.pyannote[3141].start 25484.30159375
transcript.pyannote[3141].end 25494.39284375
transcript.pyannote[3142].speaker SPEAKER_28
transcript.pyannote[3142].start 25494.62909375
transcript.pyannote[3142].end 25499.28659375
transcript.pyannote[3143].speaker SPEAKER_08
transcript.pyannote[3143].start 25495.15221875
transcript.pyannote[3143].end 25495.70909375
transcript.pyannote[3144].speaker SPEAKER_28
transcript.pyannote[3144].start 25499.35409375
transcript.pyannote[3144].end 25500.23159375
transcript.pyannote[3145].speaker SPEAKER_28
transcript.pyannote[3145].start 25500.45096875
transcript.pyannote[3145].end 25502.39159375
transcript.pyannote[3146].speaker SPEAKER_36
transcript.pyannote[3146].start 25502.39159375
transcript.pyannote[3146].end 25502.69534375
transcript.pyannote[3147].speaker SPEAKER_36
transcript.pyannote[3147].start 25502.88096875
transcript.pyannote[3147].end 25507.18409375
transcript.pyannote[3148].speaker SPEAKER_36
transcript.pyannote[3148].start 25507.23471875
transcript.pyannote[3148].end 25508.87159375
transcript.pyannote[3149].speaker SPEAKER_36
transcript.pyannote[3149].start 25509.09096875
transcript.pyannote[3149].end 25512.71909375
transcript.pyannote[3150].speaker SPEAKER_36
transcript.pyannote[3150].start 25513.29284375
transcript.pyannote[3150].end 25513.81596875
transcript.pyannote[3151].speaker SPEAKER_36
transcript.pyannote[3151].start 25514.08596875
transcript.pyannote[3151].end 25516.81971875
transcript.pyannote[3152].speaker SPEAKER_36
transcript.pyannote[3152].start 25517.14034375
transcript.pyannote[3152].end 25523.18159375
transcript.pyannote[3153].speaker SPEAKER_36
transcript.pyannote[3153].start 25523.51909375
transcript.pyannote[3153].end 25530.33659375
transcript.pyannote[3154].speaker SPEAKER_36
transcript.pyannote[3154].start 25530.52221875
transcript.pyannote[3154].end 25535.09534375
transcript.pyannote[3155].speaker SPEAKER_36
transcript.pyannote[3155].start 25535.33159375
transcript.pyannote[3155].end 25540.52909375
transcript.pyannote[3156].speaker SPEAKER_36
transcript.pyannote[3156].start 25540.79909375
transcript.pyannote[3156].end 25552.40909375
transcript.pyannote[3157].speaker SPEAKER_36
transcript.pyannote[3157].start 25552.72971875
transcript.pyannote[3157].end 25553.55659375
transcript.pyannote[3158].speaker SPEAKER_36
transcript.pyannote[3158].start 25553.97846875
transcript.pyannote[3158].end 25557.85971875
transcript.pyannote[3159].speaker SPEAKER_36
transcript.pyannote[3159].start 25558.24784375
transcript.pyannote[3159].end 25561.85909375
transcript.pyannote[3160].speaker SPEAKER_36
transcript.pyannote[3160].start 25561.89284375
transcript.pyannote[3160].end 25568.03534375
transcript.pyannote[3161].speaker SPEAKER_36
transcript.pyannote[3161].start 25568.30534375
transcript.pyannote[3161].end 25569.84096875
transcript.pyannote[3162].speaker SPEAKER_36
transcript.pyannote[3162].start 25570.39784375
transcript.pyannote[3162].end 25570.83659375
transcript.pyannote[3163].speaker SPEAKER_36
transcript.pyannote[3163].start 25571.29221875
transcript.pyannote[3163].end 25583.96534375
transcript.pyannote[3164].speaker SPEAKER_28
transcript.pyannote[3164].start 25583.96534375
transcript.pyannote[3164].end 25591.60971875
transcript.pyannote[3165].speaker SPEAKER_28
transcript.pyannote[3165].start 25591.94721875
transcript.pyannote[3165].end 25594.02284375
transcript.pyannote[3166].speaker SPEAKER_28
transcript.pyannote[3166].start 25594.49534375
transcript.pyannote[3166].end 25595.76096875
transcript.pyannote[3167].speaker SPEAKER_28
transcript.pyannote[3167].start 25595.98034375
transcript.pyannote[3167].end 25597.17846875
transcript.pyannote[3168].speaker SPEAKER_28
transcript.pyannote[3168].start 25597.56659375
transcript.pyannote[3168].end 25598.29221875
transcript.pyannote[3169].speaker SPEAKER_08
transcript.pyannote[3169].start 25598.29221875
transcript.pyannote[3169].end 25600.57034375
transcript.pyannote[3170].speaker SPEAKER_08
transcript.pyannote[3170].start 25600.87409375
transcript.pyannote[3170].end 25611.57284375
transcript.pyannote[3171].speaker SPEAKER_28
transcript.pyannote[3171].start 25604.02971875
transcript.pyannote[3171].end 25604.82284375
transcript.pyannote[3172].speaker SPEAKER_28
transcript.pyannote[3172].start 25605.43034375
transcript.pyannote[3172].end 25605.63284375
transcript.pyannote[3173].speaker SPEAKER_33
transcript.pyannote[3173].start 25605.63284375
transcript.pyannote[3173].end 25605.70034375
transcript.pyannote[3174].speaker SPEAKER_28
transcript.pyannote[3174].start 25605.70034375
transcript.pyannote[3174].end 25605.71721875
transcript.pyannote[3175].speaker SPEAKER_33
transcript.pyannote[3175].start 25605.71721875
transcript.pyannote[3175].end 25605.75096875
transcript.pyannote[3176].speaker SPEAKER_33
transcript.pyannote[3176].start 25608.80534375
transcript.pyannote[3176].end 25609.36221875
transcript.pyannote[3177].speaker SPEAKER_00
transcript.pyannote[3177].start 25609.36221875
transcript.pyannote[3177].end 25609.39596875
transcript.pyannote[3178].speaker SPEAKER_08
transcript.pyannote[3178].start 25611.77534375
transcript.pyannote[3178].end 25615.48784375
transcript.pyannote[3179].speaker SPEAKER_08
transcript.pyannote[3179].start 25615.57221875
transcript.pyannote[3179].end 25618.59284375
transcript.pyannote[3180].speaker SPEAKER_08
transcript.pyannote[3180].start 25618.72784375
transcript.pyannote[3180].end 25619.68971875
transcript.pyannote[3181].speaker SPEAKER_08
transcript.pyannote[3181].start 25619.97659375
transcript.pyannote[3181].end 25620.49971875
transcript.pyannote[3182].speaker SPEAKER_08
transcript.pyannote[3182].start 25620.60096875
transcript.pyannote[3182].end 25622.28846875
transcript.pyannote[3183].speaker SPEAKER_08
transcript.pyannote[3183].start 25622.72721875
transcript.pyannote[3183].end 25625.51159375
transcript.pyannote[3184].speaker SPEAKER_08
transcript.pyannote[3184].start 25625.71409375
transcript.pyannote[3184].end 25629.44346875
transcript.pyannote[3185].speaker SPEAKER_28
transcript.pyannote[3185].start 25629.44346875
transcript.pyannote[3185].end 25643.70284375
transcript.pyannote[3186].speaker SPEAKER_37
transcript.pyannote[3186].start 25634.80971875
transcript.pyannote[3186].end 25635.18096875
transcript.pyannote[3187].speaker SPEAKER_08
transcript.pyannote[3187].start 25643.66909375
transcript.pyannote[3187].end 25648.19159375
transcript.pyannote[3188].speaker SPEAKER_28
transcript.pyannote[3188].start 25644.09096875
transcript.pyannote[3188].end 25644.41159375
transcript.pyannote[3189].speaker SPEAKER_28
transcript.pyannote[3189].start 25648.37721875
transcript.pyannote[3189].end 25651.19534375
transcript.pyannote[3190].speaker SPEAKER_28
transcript.pyannote[3190].start 25652.96721875
transcript.pyannote[3190].end 25658.36721875
transcript.pyannote[3191].speaker SPEAKER_28
transcript.pyannote[3191].start 25658.70471875
transcript.pyannote[3191].end 25659.24471875
transcript.pyannote[3192].speaker SPEAKER_28
transcript.pyannote[3192].start 25659.73409375
transcript.pyannote[3192].end 25660.25721875
transcript.pyannote[3193].speaker SPEAKER_28
transcript.pyannote[3193].start 25660.64534375
transcript.pyannote[3193].end 25661.75909375
transcript.pyannote[3194].speaker SPEAKER_28
transcript.pyannote[3194].start 25662.51846875
transcript.pyannote[3194].end 25664.99909375
transcript.pyannote[3195].speaker SPEAKER_28
transcript.pyannote[3195].start 25665.37034375
transcript.pyannote[3195].end 25670.88846875
transcript.pyannote[3196].speaker SPEAKER_28
transcript.pyannote[3196].start 25671.32721875
transcript.pyannote[3196].end 25672.57596875
transcript.pyannote[3197].speaker SPEAKER_28
transcript.pyannote[3197].start 25672.84596875
transcript.pyannote[3197].end 25674.29721875
transcript.pyannote[3198].speaker SPEAKER_28
transcript.pyannote[3198].start 25674.55034375
transcript.pyannote[3198].end 25675.90034375
transcript.pyannote[3199].speaker SPEAKER_28
transcript.pyannote[3199].start 25676.30534375
transcript.pyannote[3199].end 25681.70534375
transcript.pyannote[3200].speaker SPEAKER_28
transcript.pyannote[3200].start 25681.97534375
transcript.pyannote[3200].end 25705.87034375
transcript.pyannote[3201].speaker SPEAKER_28
transcript.pyannote[3201].start 25705.90409375
transcript.pyannote[3201].end 25713.05909375
transcript.pyannote[3202].speaker SPEAKER_28
transcript.pyannote[3202].start 25713.24471875
transcript.pyannote[3202].end 25716.68721875
transcript.pyannote[3203].speaker SPEAKER_28
transcript.pyannote[3203].start 25717.07534375
transcript.pyannote[3203].end 25722.99846875
transcript.pyannote[3204].speaker SPEAKER_28
transcript.pyannote[3204].start 25723.21784375
transcript.pyannote[3204].end 25725.44534375
transcript.pyannote[3205].speaker SPEAKER_28
transcript.pyannote[3205].start 25725.95159375
transcript.pyannote[3205].end 25729.36034375
transcript.pyannote[3206].speaker SPEAKER_28
transcript.pyannote[3206].start 25729.96784375
transcript.pyannote[3206].end 25731.26721875
transcript.pyannote[3207].speaker SPEAKER_28
transcript.pyannote[3207].start 25732.06034375
transcript.pyannote[3207].end 25739.43471875
transcript.pyannote[3208].speaker SPEAKER_28
transcript.pyannote[3208].start 25739.72159375
transcript.pyannote[3208].end 25740.73409375
transcript.pyannote[3209].speaker SPEAKER_28
transcript.pyannote[3209].start 25741.62846875
transcript.pyannote[3209].end 25743.14721875
transcript.pyannote[3210].speaker SPEAKER_28
transcript.pyannote[3210].start 25744.12596875
transcript.pyannote[3210].end 25745.66159375
transcript.pyannote[3211].speaker SPEAKER_28
transcript.pyannote[3211].start 25746.08346875
transcript.pyannote[3211].end 25747.43346875
transcript.pyannote[3212].speaker SPEAKER_28
transcript.pyannote[3212].start 25748.04096875
transcript.pyannote[3212].end 25748.81721875
transcript.pyannote[3213].speaker SPEAKER_28
transcript.pyannote[3213].start 25749.76221875
transcript.pyannote[3213].end 25750.97721875
transcript.pyannote[3214].speaker SPEAKER_28
transcript.pyannote[3214].start 25751.36534375
transcript.pyannote[3214].end 25752.14159375
transcript.pyannote[3215].speaker SPEAKER_28
transcript.pyannote[3215].start 25753.54221875
transcript.pyannote[3215].end 25754.20034375
transcript.pyannote[3216].speaker SPEAKER_27
transcript.pyannote[3216].start 25754.20034375
transcript.pyannote[3216].end 25754.23409375
transcript.pyannote[3217].speaker SPEAKER_28
transcript.pyannote[3217].start 25754.23409375
transcript.pyannote[3217].end 25754.25096875
transcript.pyannote[3218].speaker SPEAKER_27
transcript.pyannote[3218].start 25754.92596875
transcript.pyannote[3218].end 25754.95971875
transcript.pyannote[3219].speaker SPEAKER_28
transcript.pyannote[3219].start 25754.95971875
transcript.pyannote[3219].end 25754.97659375
transcript.pyannote[3220].speaker SPEAKER_27
transcript.pyannote[3220].start 25754.97659375
transcript.pyannote[3220].end 25757.05221875
transcript.pyannote[3221].speaker SPEAKER_28
transcript.pyannote[3221].start 25755.14534375
transcript.pyannote[3221].end 25755.71909375
transcript.pyannote[3222].speaker SPEAKER_27
transcript.pyannote[3222].start 25757.18721875
transcript.pyannote[3222].end 25757.20409375
transcript.pyannote[3223].speaker SPEAKER_28
transcript.pyannote[3223].start 25757.20409375
transcript.pyannote[3223].end 25758.19971875
transcript.pyannote[3224].speaker SPEAKER_28
transcript.pyannote[3224].start 25758.48659375
transcript.pyannote[3224].end 25760.86596875
transcript.pyannote[3225].speaker SPEAKER_28
transcript.pyannote[3225].start 25762.03034375
transcript.pyannote[3225].end 25762.38471875
transcript.pyannote[3226].speaker SPEAKER_28
transcript.pyannote[3226].start 25762.58721875
transcript.pyannote[3226].end 25765.60784375
transcript.pyannote[3227].speaker SPEAKER_27
transcript.pyannote[3227].start 25764.54471875
transcript.pyannote[3227].end 25768.07159375
transcript.pyannote[3228].speaker SPEAKER_28
transcript.pyannote[3228].start 25768.07159375
transcript.pyannote[3228].end 25768.25721875
transcript.pyannote[3229].speaker SPEAKER_27
transcript.pyannote[3229].start 25768.25721875
transcript.pyannote[3229].end 25768.35846875
transcript.pyannote[3230].speaker SPEAKER_28
transcript.pyannote[3230].start 25768.35846875
transcript.pyannote[3230].end 25768.37534375
transcript.pyannote[3231].speaker SPEAKER_28
transcript.pyannote[3231].start 25768.47659375
transcript.pyannote[3231].end 25769.97846875
transcript.pyannote[3232].speaker SPEAKER_28
transcript.pyannote[3232].start 25770.34971875
transcript.pyannote[3232].end 25772.50971875
transcript.pyannote[3233].speaker SPEAKER_28
transcript.pyannote[3233].start 25773.10034375
transcript.pyannote[3233].end 25774.80471875
transcript.pyannote[3234].speaker SPEAKER_28
transcript.pyannote[3234].start 25775.17596875
transcript.pyannote[3234].end 25776.94784375
transcript.pyannote[3235].speaker SPEAKER_28
transcript.pyannote[3235].start 25777.25159375
transcript.pyannote[3235].end 25779.42846875
transcript.pyannote[3236].speaker SPEAKER_28
transcript.pyannote[3236].start 25779.58034375
transcript.pyannote[3236].end 25780.72784375
transcript.pyannote[3237].speaker SPEAKER_28
transcript.pyannote[3237].start 25781.41971875
transcript.pyannote[3237].end 25781.67284375
transcript.pyannote[3238].speaker SPEAKER_28
transcript.pyannote[3238].start 25782.14534375
transcript.pyannote[3238].end 25782.71909375
transcript.pyannote[3239].speaker SPEAKER_28
transcript.pyannote[3239].start 25782.85409375
transcript.pyannote[3239].end 25784.59221875
transcript.pyannote[3240].speaker SPEAKER_28
transcript.pyannote[3240].start 25785.58784375
transcript.pyannote[3240].end 25786.29659375
transcript.pyannote[3241].speaker SPEAKER_28
transcript.pyannote[3241].start 25786.48221875
transcript.pyannote[3241].end 25787.22471875
transcript.pyannote[3242].speaker SPEAKER_28
transcript.pyannote[3242].start 25788.77721875
transcript.pyannote[3242].end 25789.48596875
transcript.pyannote[3243].speaker SPEAKER_28
transcript.pyannote[3243].start 25789.75596875
transcript.pyannote[3243].end 25790.22846875
transcript.pyannote[3244].speaker SPEAKER_28
transcript.pyannote[3244].start 25790.61659375
transcript.pyannote[3244].end 25791.00471875
transcript.pyannote[3245].speaker SPEAKER_28
transcript.pyannote[3245].start 25791.61221875
transcript.pyannote[3245].end 25793.08034375
transcript.pyannote[3246].speaker SPEAKER_28
transcript.pyannote[3246].start 25793.36721875
transcript.pyannote[3246].end 25793.90721875
transcript.pyannote[3247].speaker SPEAKER_28
transcript.pyannote[3247].start 25794.19409375
transcript.pyannote[3247].end 25795.02096875
transcript.pyannote[3248].speaker SPEAKER_28
transcript.pyannote[3248].start 25795.59471875
transcript.pyannote[3248].end 25797.11346875
transcript.pyannote[3249].speaker SPEAKER_28
transcript.pyannote[3249].start 25797.43409375
transcript.pyannote[3249].end 25798.00784375
transcript.pyannote[3250].speaker SPEAKER_28
transcript.pyannote[3250].start 25799.18909375
transcript.pyannote[3250].end 25799.98221875
transcript.pyannote[3251].speaker SPEAKER_28
transcript.pyannote[3251].start 25800.37034375
transcript.pyannote[3251].end 25801.12971875
transcript.pyannote[3252].speaker SPEAKER_28
transcript.pyannote[3252].start 25801.82159375
transcript.pyannote[3252].end 25802.85096875
transcript.pyannote[3253].speaker SPEAKER_28
transcript.pyannote[3253].start 25802.96909375
transcript.pyannote[3253].end 25804.87596875
transcript.pyannote[3254].speaker SPEAKER_28
transcript.pyannote[3254].start 25805.16284375
transcript.pyannote[3254].end 25805.43284375
transcript.pyannote[3255].speaker SPEAKER_28
transcript.pyannote[3255].start 25805.77034375
transcript.pyannote[3255].end 25806.41159375
transcript.pyannote[3256].speaker SPEAKER_28
transcript.pyannote[3256].start 25806.98534375
transcript.pyannote[3256].end 25808.11596875
transcript.pyannote[3257].speaker SPEAKER_28
transcript.pyannote[3257].start 25808.25096875
transcript.pyannote[3257].end 25809.33096875
transcript.pyannote[3258].speaker SPEAKER_28
transcript.pyannote[3258].start 25809.95534375
transcript.pyannote[3258].end 25811.55846875
transcript.pyannote[3259].speaker SPEAKER_28
transcript.pyannote[3259].start 25812.36846875
transcript.pyannote[3259].end 25813.78596875
transcript.pyannote[3260].speaker SPEAKER_28
transcript.pyannote[3260].start 25814.03909375
transcript.pyannote[3260].end 25814.95034375
transcript.pyannote[3261].speaker SPEAKER_28
transcript.pyannote[3261].start 25815.70971875
transcript.pyannote[3261].end 25816.46909375
transcript.pyannote[3262].speaker SPEAKER_28
transcript.pyannote[3262].start 25816.85721875
transcript.pyannote[3262].end 25818.56159375
transcript.pyannote[3263].speaker SPEAKER_28
transcript.pyannote[3263].start 25818.76409375
transcript.pyannote[3263].end 25819.59096875
transcript.pyannote[3264].speaker SPEAKER_28
transcript.pyannote[3264].start 25819.87784375
transcript.pyannote[3264].end 25820.50221875
transcript.pyannote[3265].speaker SPEAKER_28
transcript.pyannote[3265].start 25820.94096875
transcript.pyannote[3265].end 25821.91971875
transcript.pyannote[3266].speaker SPEAKER_28
transcript.pyannote[3266].start 25822.39221875
transcript.pyannote[3266].end 25823.28659375
transcript.pyannote[3267].speaker SPEAKER_28
transcript.pyannote[3267].start 25823.70846875
transcript.pyannote[3267].end 25824.23159375
transcript.pyannote[3268].speaker SPEAKER_28
transcript.pyannote[3268].start 25825.12596875
transcript.pyannote[3268].end 25825.68284375
transcript.pyannote[3269].speaker SPEAKER_28
transcript.pyannote[3269].start 25826.13846875
transcript.pyannote[3269].end 25827.92721875
transcript.pyannote[3270].speaker SPEAKER_28
transcript.pyannote[3270].start 25828.24784375
transcript.pyannote[3270].end 25828.83846875
transcript.pyannote[3271].speaker SPEAKER_28
transcript.pyannote[3271].start 25828.93971875
transcript.pyannote[3271].end 25829.71596875
transcript.pyannote[3272].speaker SPEAKER_28
transcript.pyannote[3272].start 25830.07034375
transcript.pyannote[3272].end 25831.06596875
transcript.pyannote[3273].speaker SPEAKER_28
transcript.pyannote[3273].start 25831.62284375
transcript.pyannote[3273].end 25832.38221875
transcript.pyannote[3274].speaker SPEAKER_28
transcript.pyannote[3274].start 25832.92221875
transcript.pyannote[3274].end 25834.64346875
transcript.pyannote[3275].speaker SPEAKER_28
transcript.pyannote[3275].start 25835.70659375
transcript.pyannote[3275].end 25836.98909375
transcript.pyannote[3276].speaker SPEAKER_28
transcript.pyannote[3276].start 25837.29284375
transcript.pyannote[3276].end 25838.71034375
transcript.pyannote[3277].speaker SPEAKER_28
transcript.pyannote[3277].start 25839.04784375
transcript.pyannote[3277].end 25844.46471875
transcript.pyannote[3278].speaker SPEAKER_28
transcript.pyannote[3278].start 25845.35909375
transcript.pyannote[3278].end 25847.21534375
transcript.pyannote[3279].speaker SPEAKER_28
transcript.pyannote[3279].start 25847.58659375
transcript.pyannote[3279].end 25848.61596875
transcript.pyannote[3280].speaker SPEAKER_28
transcript.pyannote[3280].start 25849.74659375
transcript.pyannote[3280].end 25850.77596875
transcript.pyannote[3281].speaker SPEAKER_28
transcript.pyannote[3281].start 25851.07971875
transcript.pyannote[3281].end 25852.42971875
transcript.pyannote[3282].speaker SPEAKER_28
transcript.pyannote[3282].start 25853.08784375
transcript.pyannote[3282].end 25853.83034375
transcript.pyannote[3283].speaker SPEAKER_28
transcript.pyannote[3283].start 25854.15096875
transcript.pyannote[3283].end 25855.07909375
transcript.pyannote[3284].speaker SPEAKER_28
transcript.pyannote[3284].start 25855.55159375
transcript.pyannote[3284].end 25856.81721875
transcript.pyannote[3285].speaker SPEAKER_28
transcript.pyannote[3285].start 25857.03659375
transcript.pyannote[3285].end 25857.91409375
transcript.pyannote[3286].speaker SPEAKER_28
transcript.pyannote[3286].start 25858.11659375
transcript.pyannote[3286].end 25858.99409375
transcript.pyannote[3287].speaker SPEAKER_28
transcript.pyannote[3287].start 25860.61409375
transcript.pyannote[3287].end 25867.36409375
transcript.pyannote[3288].speaker SPEAKER_28
transcript.pyannote[3288].start 25867.95471875
transcript.pyannote[3288].end 25869.00096875
transcript.pyannote[3289].speaker SPEAKER_28
transcript.pyannote[3289].start 25869.18659375
transcript.pyannote[3289].end 25870.09784375
transcript.pyannote[3290].speaker SPEAKER_28
transcript.pyannote[3290].start 25870.45221875
transcript.pyannote[3290].end 25872.56159375
transcript.pyannote[3291].speaker SPEAKER_28
transcript.pyannote[3291].start 25872.91596875
transcript.pyannote[3291].end 25873.74284375
transcript.pyannote[3292].speaker SPEAKER_28
transcript.pyannote[3292].start 25874.08034375
transcript.pyannote[3292].end 25875.07596875
transcript.pyannote[3293].speaker SPEAKER_28
transcript.pyannote[3293].start 25876.66221875
transcript.pyannote[3293].end 25878.38346875
transcript.pyannote[3294].speaker SPEAKER_28
transcript.pyannote[3294].start 25879.49721875
transcript.pyannote[3294].end 25879.75034375
transcript.pyannote[3295].speaker SPEAKER_28
transcript.pyannote[3295].start 25880.66159375
transcript.pyannote[3295].end 25881.80909375
transcript.pyannote[3296].speaker SPEAKER_28
transcript.pyannote[3296].start 25883.02409375
transcript.pyannote[3296].end 25883.91846875
transcript.pyannote[3297].speaker SPEAKER_28
transcript.pyannote[3297].start 25884.45846875
transcript.pyannote[3297].end 25886.98971875
transcript.pyannote[3298].speaker SPEAKER_28
transcript.pyannote[3298].start 25887.32721875
transcript.pyannote[3298].end 25888.89659375
transcript.pyannote[3299].speaker SPEAKER_28
transcript.pyannote[3299].start 25889.43659375
transcript.pyannote[3299].end 25890.58409375
transcript.pyannote[3300].speaker SPEAKER_28
transcript.pyannote[3300].start 25890.87096875
transcript.pyannote[3300].end 25892.33909375
transcript.pyannote[3301].speaker SPEAKER_28
transcript.pyannote[3301].start 25893.30096875
transcript.pyannote[3301].end 25894.06034375
transcript.pyannote[3302].speaker SPEAKER_28
transcript.pyannote[3302].start 25895.46096875
transcript.pyannote[3302].end 25896.05159375
transcript.pyannote[3303].speaker SPEAKER_28
transcript.pyannote[3303].start 25897.82346875
transcript.pyannote[3303].end 25898.78534375
transcript.pyannote[3304].speaker SPEAKER_28
transcript.pyannote[3304].start 25899.32534375
transcript.pyannote[3304].end 25900.01721875
transcript.pyannote[3305].speaker SPEAKER_28
transcript.pyannote[3305].start 25900.21971875
transcript.pyannote[3305].end 25901.33346875
transcript.pyannote[3306].speaker SPEAKER_28
transcript.pyannote[3306].start 25901.60346875
transcript.pyannote[3306].end 25902.02534375
transcript.pyannote[3307].speaker SPEAKER_28
transcript.pyannote[3307].start 25903.07159375
transcript.pyannote[3307].end 25903.84784375
transcript.pyannote[3308].speaker SPEAKER_28
transcript.pyannote[3308].start 25905.36659375
transcript.pyannote[3308].end 25905.83909375
transcript.pyannote[3309].speaker SPEAKER_28
transcript.pyannote[3309].start 25906.21034375
transcript.pyannote[3309].end 25907.27346875
transcript.pyannote[3310].speaker SPEAKER_28
transcript.pyannote[3310].start 25908.11721875
transcript.pyannote[3310].end 25909.36596875
transcript.pyannote[3311].speaker SPEAKER_28
transcript.pyannote[3311].start 25910.26034375
transcript.pyannote[3311].end 25911.22221875
transcript.pyannote[3312].speaker SPEAKER_28
transcript.pyannote[3312].start 25912.25159375
transcript.pyannote[3312].end 25913.04471875
transcript.pyannote[3313].speaker SPEAKER_28
transcript.pyannote[3313].start 25913.55096875
transcript.pyannote[3313].end 25914.52971875
transcript.pyannote[3314].speaker SPEAKER_28
transcript.pyannote[3314].start 25916.11596875
transcript.pyannote[3314].end 25917.73596875
transcript.pyannote[3315].speaker SPEAKER_28
transcript.pyannote[3315].start 25917.90471875
transcript.pyannote[3315].end 25918.98471875
transcript.pyannote[3316].speaker SPEAKER_28
transcript.pyannote[3316].start 25919.08596875
transcript.pyannote[3316].end 25920.52034375
transcript.pyannote[3317].speaker SPEAKER_28
transcript.pyannote[3317].start 25920.72284375
transcript.pyannote[3317].end 25922.00534375
transcript.pyannote[3318].speaker SPEAKER_28
transcript.pyannote[3318].start 25922.59596875
transcript.pyannote[3318].end 25923.99659375
transcript.pyannote[3319].speaker SPEAKER_28
transcript.pyannote[3319].start 25924.24971875
transcript.pyannote[3319].end 25925.44784375
transcript.pyannote[3320].speaker SPEAKER_28
transcript.pyannote[3320].start 25927.18596875
transcript.pyannote[3320].end 25928.16471875
transcript.pyannote[3321].speaker SPEAKER_28
transcript.pyannote[3321].start 25928.40096875
transcript.pyannote[3321].end 25929.49784375
transcript.pyannote[3322].speaker SPEAKER_28
transcript.pyannote[3322].start 25929.70034375
transcript.pyannote[3322].end 25930.81409375
transcript.pyannote[3323].speaker SPEAKER_28
transcript.pyannote[3323].start 25930.94909375
transcript.pyannote[3323].end 25931.99534375
transcript.pyannote[3324].speaker SPEAKER_28
transcript.pyannote[3324].start 25933.91909375
transcript.pyannote[3324].end 25935.69096875
transcript.pyannote[3325].speaker SPEAKER_28
transcript.pyannote[3325].start 25936.04534375
transcript.pyannote[3325].end 25937.10846875
transcript.pyannote[3326].speaker SPEAKER_28
transcript.pyannote[3326].start 25937.12534375
transcript.pyannote[3326].end 25938.47534375
transcript.pyannote[3327].speaker SPEAKER_28
transcript.pyannote[3327].start 25938.67784375
transcript.pyannote[3327].end 25939.97721875
transcript.pyannote[3328].speaker SPEAKER_28
transcript.pyannote[3328].start 25940.34846875
transcript.pyannote[3328].end 25941.14159375
transcript.pyannote[3329].speaker SPEAKER_28
transcript.pyannote[3329].start 25941.47909375
transcript.pyannote[3329].end 25942.54221875
transcript.pyannote[3330].speaker SPEAKER_28
transcript.pyannote[3330].start 25942.98096875
transcript.pyannote[3330].end 25943.67284375
transcript.pyannote[3331].speaker SPEAKER_28
transcript.pyannote[3331].start 25944.16221875
transcript.pyannote[3331].end 25944.98909375
transcript.pyannote[3332].speaker SPEAKER_28
transcript.pyannote[3332].start 25946.35596875
transcript.pyannote[3332].end 25947.50346875
transcript.pyannote[3333].speaker SPEAKER_27
transcript.pyannote[3333].start 25947.50346875
transcript.pyannote[3333].end 25947.53721875
transcript.pyannote[3334].speaker SPEAKER_28
transcript.pyannote[3334].start 25947.82409375
transcript.pyannote[3334].end 25947.97596875
transcript.pyannote[3335].speaker SPEAKER_27
transcript.pyannote[3335].start 25947.97596875
transcript.pyannote[3335].end 25948.49909375
transcript.pyannote[3336].speaker SPEAKER_33
transcript.pyannote[3336].start 25948.49909375
transcript.pyannote[3336].end 25949.19096875
transcript.pyannote[3337].speaker SPEAKER_27
transcript.pyannote[3337].start 25948.81971875
transcript.pyannote[3337].end 25953.39284375
transcript.pyannote[3338].speaker SPEAKER_27
transcript.pyannote[3338].start 25953.57846875
transcript.pyannote[3338].end 25960.66596875
transcript.pyannote[3339].speaker SPEAKER_27
transcript.pyannote[3339].start 25960.78409375
transcript.pyannote[3339].end 25961.71221875
transcript.pyannote[3340].speaker SPEAKER_27
transcript.pyannote[3340].start 25962.06659375
transcript.pyannote[3340].end 25963.29846875
transcript.pyannote[3341].speaker SPEAKER_27
transcript.pyannote[3341].start 25963.48409375
transcript.pyannote[3341].end 25966.89284375
transcript.pyannote[3342].speaker SPEAKER_27
transcript.pyannote[3342].start 25967.41596875
transcript.pyannote[3342].end 25970.82471875
transcript.pyannote[3343].speaker SPEAKER_27
transcript.pyannote[3343].start 25971.38159375
transcript.pyannote[3343].end 25972.78221875
transcript.pyannote[3344].speaker SPEAKER_27
transcript.pyannote[3344].start 25973.69346875
transcript.pyannote[3344].end 25975.71846875
transcript.pyannote[3345].speaker SPEAKER_27
transcript.pyannote[3345].start 25975.75221875
transcript.pyannote[3345].end 25983.32909375
transcript.pyannote[3346].speaker SPEAKER_27
transcript.pyannote[3346].start 25983.64971875
transcript.pyannote[3346].end 25986.02909375
transcript.pyannote[3347].speaker SPEAKER_27
transcript.pyannote[3347].start 25986.65346875
transcript.pyannote[3347].end 25989.55596875
transcript.pyannote[3348].speaker SPEAKER_27
transcript.pyannote[3348].start 25989.70784375
transcript.pyannote[3348].end 25991.04096875
transcript.pyannote[3349].speaker SPEAKER_27
transcript.pyannote[3349].start 25991.31096875
transcript.pyannote[3349].end 26015.12159375
transcript.pyannote[3350].speaker SPEAKER_27
transcript.pyannote[3350].start 26015.45909375
transcript.pyannote[3350].end 26018.37846875
transcript.pyannote[3351].speaker SPEAKER_27
transcript.pyannote[3351].start 26019.05346875
transcript.pyannote[3351].end 26026.63034375
transcript.pyannote[3352].speaker SPEAKER_27
transcript.pyannote[3352].start 26027.08596875
transcript.pyannote[3352].end 26029.38096875
transcript.pyannote[3353].speaker SPEAKER_27
transcript.pyannote[3353].start 26030.37659375
transcript.pyannote[3353].end 26037.51471875
transcript.pyannote[3354].speaker SPEAKER_27
transcript.pyannote[3354].start 26037.66659375
transcript.pyannote[3354].end 26038.39221875
transcript.pyannote[3355].speaker SPEAKER_28
transcript.pyannote[3355].start 26038.39221875
transcript.pyannote[3355].end 26040.75471875
transcript.pyannote[3356].speaker SPEAKER_28
transcript.pyannote[3356].start 26040.90659375
transcript.pyannote[3356].end 26042.03721875
transcript.pyannote[3357].speaker SPEAKER_28
transcript.pyannote[3357].start 26042.59409375
transcript.pyannote[3357].end 26044.53471875
transcript.pyannote[3358].speaker SPEAKER_28
transcript.pyannote[3358].start 26044.55159375
transcript.pyannote[3358].end 26046.89721875
transcript.pyannote[3359].speaker SPEAKER_28
transcript.pyannote[3359].start 26047.40346875
transcript.pyannote[3359].end 26048.93909375
transcript.pyannote[3360].speaker SPEAKER_28
transcript.pyannote[3360].start 26049.15846875
transcript.pyannote[3360].end 26052.61784375
transcript.pyannote[3361].speaker SPEAKER_28
transcript.pyannote[3361].start 26052.66846875
transcript.pyannote[3361].end 26058.81096875
transcript.pyannote[3362].speaker SPEAKER_28
transcript.pyannote[3362].start 26059.11471875
transcript.pyannote[3362].end 26060.07659375
transcript.pyannote[3363].speaker SPEAKER_28
transcript.pyannote[3363].start 26060.31284375
transcript.pyannote[3363].end 26061.59534375
transcript.pyannote[3364].speaker SPEAKER_28
transcript.pyannote[3364].start 26061.73034375
transcript.pyannote[3364].end 26064.56534375
transcript.pyannote[3365].speaker SPEAKER_27
transcript.pyannote[3365].start 26065.30784375
transcript.pyannote[3365].end 26065.34159375
transcript.pyannote[3366].speaker SPEAKER_28
transcript.pyannote[3366].start 26065.34159375
transcript.pyannote[3366].end 26065.71284375
transcript.pyannote[3367].speaker SPEAKER_27
transcript.pyannote[3367].start 26065.71284375
transcript.pyannote[3367].end 26076.10784375
transcript.pyannote[3368].speaker SPEAKER_27
transcript.pyannote[3368].start 26076.51284375
transcript.pyannote[3368].end 26089.89471875
transcript.pyannote[3369].speaker SPEAKER_28
transcript.pyannote[3369].start 26089.75971875
transcript.pyannote[3369].end 26099.58096875
transcript.pyannote[3370].speaker SPEAKER_28
transcript.pyannote[3370].start 26099.96909375
transcript.pyannote[3370].end 26103.98534375
transcript.pyannote[3371].speaker SPEAKER_28
transcript.pyannote[3371].start 26104.39034375
transcript.pyannote[3371].end 26105.13284375
transcript.pyannote[3372].speaker SPEAKER_28
transcript.pyannote[3372].start 26105.40284375
transcript.pyannote[3372].end 26105.99346875
transcript.pyannote[3373].speaker SPEAKER_28
transcript.pyannote[3373].start 26106.43221875
transcript.pyannote[3373].end 26106.95534375
transcript.pyannote[3374].speaker SPEAKER_28
transcript.pyannote[3374].start 26107.36034375
transcript.pyannote[3374].end 26107.37721875
transcript.pyannote[3375].speaker SPEAKER_28
transcript.pyannote[3375].start 26107.88346875
transcript.pyannote[3375].end 26108.42346875
transcript.pyannote[3376].speaker SPEAKER_28
transcript.pyannote[3376].start 26108.86221875
transcript.pyannote[3376].end 26109.26721875
transcript.pyannote[3377].speaker SPEAKER_28
transcript.pyannote[3377].start 26111.96721875
transcript.pyannote[3377].end 26113.63784375
transcript.pyannote[3378].speaker SPEAKER_28
transcript.pyannote[3378].start 26114.16096875
transcript.pyannote[3378].end 26116.11846875
transcript.pyannote[3379].speaker SPEAKER_28
transcript.pyannote[3379].start 26116.48971875
transcript.pyannote[3379].end 26117.68784375
transcript.pyannote[3380].speaker SPEAKER_27
transcript.pyannote[3380].start 26118.19409375
transcript.pyannote[3380].end 26128.92659375
transcript.pyannote[3381].speaker SPEAKER_27
transcript.pyannote[3381].start 26129.58471875
transcript.pyannote[3381].end 26131.96409375
transcript.pyannote[3382].speaker SPEAKER_28
transcript.pyannote[3382].start 26131.96409375
transcript.pyannote[3382].end 26132.87534375
transcript.pyannote[3383].speaker SPEAKER_27
transcript.pyannote[3383].start 26132.87534375
transcript.pyannote[3383].end 26132.97659375
transcript.pyannote[3384].speaker SPEAKER_28
transcript.pyannote[3384].start 26132.97659375
transcript.pyannote[3384].end 26132.99346875
transcript.pyannote[3385].speaker SPEAKER_27
transcript.pyannote[3385].start 26132.99346875
transcript.pyannote[3385].end 26133.02721875
transcript.pyannote[3386].speaker SPEAKER_28
transcript.pyannote[3386].start 26134.86659375
transcript.pyannote[3386].end 26136.62159375
transcript.pyannote[3387].speaker SPEAKER_28
transcript.pyannote[3387].start 26136.94221875
transcript.pyannote[3387].end 26139.16971875
transcript.pyannote[3388].speaker SPEAKER_28
transcript.pyannote[3388].start 26140.75596875
transcript.pyannote[3388].end 26144.33346875
transcript.pyannote[3389].speaker SPEAKER_28
transcript.pyannote[3389].start 26144.67096875
transcript.pyannote[3389].end 26156.78721875
transcript.pyannote[3390].speaker SPEAKER_14
transcript.pyannote[3390].start 26148.06284375
transcript.pyannote[3390].end 26148.97409375
transcript.pyannote[3391].speaker SPEAKER_27
transcript.pyannote[3391].start 26157.05721875
transcript.pyannote[3391].end 26158.03596875
transcript.pyannote[3392].speaker SPEAKER_26
transcript.pyannote[3392].start 26163.19971875
transcript.pyannote[3392].end 26167.24971875
transcript.pyannote[3393].speaker SPEAKER_26
transcript.pyannote[3393].start 26167.65471875
transcript.pyannote[3393].end 26175.63659375
transcript.pyannote[3394].speaker SPEAKER_26
transcript.pyannote[3394].start 26847.32909375
transcript.pyannote[3394].end 26853.72471875
transcript.pyannote[3395].speaker SPEAKER_01
transcript.pyannote[3395].start 26861.28471875
transcript.pyannote[3395].end 26862.49971875
transcript.pyannote[3396].speaker SPEAKER_26
transcript.pyannote[3396].start 26862.71909375
transcript.pyannote[3396].end 26864.20409375
transcript.pyannote[3397].speaker SPEAKER_11
transcript.pyannote[3397].start 26872.65846875
transcript.pyannote[3397].end 26883.69471875
transcript.pyannote[3398].speaker SPEAKER_10
transcript.pyannote[3398].start 26873.41784375
transcript.pyannote[3398].end 26874.17721875
transcript.pyannote[3399].speaker SPEAKER_11
transcript.pyannote[3399].start 26883.98159375
transcript.pyannote[3399].end 26889.70221875
transcript.pyannote[3400].speaker SPEAKER_11
transcript.pyannote[3400].start 26889.88784375
transcript.pyannote[3400].end 27014.69534375
transcript.pyannote[3401].speaker SPEAKER_11
transcript.pyannote[3401].start 27014.77971875
transcript.pyannote[3401].end 27017.41221875
transcript.pyannote[3402].speaker SPEAKER_11
transcript.pyannote[3402].start 27017.56409375
transcript.pyannote[3402].end 27118.40909375
transcript.pyannote[3403].speaker SPEAKER_11
transcript.pyannote[3403].start 27118.54409375
transcript.pyannote[3403].end 27218.64659375
transcript.pyannote[3404].speaker SPEAKER_11
transcript.pyannote[3404].start 27218.71409375
transcript.pyannote[3404].end 27243.92534375
transcript.pyannote[3405].speaker SPEAKER_11
transcript.pyannote[3405].start 27244.17846875
transcript.pyannote[3405].end 27281.26971875
transcript.pyannote[3406].speaker SPEAKER_11
transcript.pyannote[3406].start 27281.33721875
transcript.pyannote[3406].end 27330.86534375
transcript.pyannote[3407].speaker SPEAKER_11
transcript.pyannote[3407].start 27331.55721875
transcript.pyannote[3407].end 27399.66471875
transcript.pyannote[3408].speaker SPEAKER_11
transcript.pyannote[3408].start 27400.17096875
transcript.pyannote[3408].end 27425.41596875
transcript.pyannote[3409].speaker SPEAKER_11
transcript.pyannote[3409].start 27426.02346875
transcript.pyannote[3409].end 27430.02284375
transcript.pyannote[3410].speaker SPEAKER_11
transcript.pyannote[3410].start 27430.20846875
transcript.pyannote[3410].end 27457.30971875
transcript.pyannote[3411].speaker SPEAKER_11
transcript.pyannote[3411].start 27457.76534375
transcript.pyannote[3411].end 27465.32534375
transcript.pyannote[3412].speaker SPEAKER_11
transcript.pyannote[3412].start 27465.64596875
transcript.pyannote[3412].end 27484.49534375
transcript.pyannote[3413].speaker SPEAKER_08
transcript.pyannote[3413].start 27485.25471875
transcript.pyannote[3413].end 27492.64596875
transcript.pyannote[3414].speaker SPEAKER_08
transcript.pyannote[3414].start 27492.81471875
transcript.pyannote[3414].end 27496.20659375
transcript.pyannote[3415].speaker SPEAKER_08
transcript.pyannote[3415].start 27496.72971875
transcript.pyannote[3415].end 27500.50971875
transcript.pyannote[3416].speaker SPEAKER_08
transcript.pyannote[3416].start 27500.69534375
transcript.pyannote[3416].end 27501.18471875
transcript.pyannote[3417].speaker SPEAKER_08
transcript.pyannote[3417].start 27501.42096875
transcript.pyannote[3417].end 27506.92221875
transcript.pyannote[3418].speaker SPEAKER_08
transcript.pyannote[3418].start 27507.15846875
transcript.pyannote[3418].end 27513.38534375
transcript.pyannote[3419].speaker SPEAKER_11
transcript.pyannote[3419].start 27512.57534375
transcript.pyannote[3419].end 27514.93784375
transcript.pyannote[3420].speaker SPEAKER_08
transcript.pyannote[3420].start 27515.12346875
transcript.pyannote[3420].end 27515.39346875
transcript.pyannote[3421].speaker SPEAKER_33
transcript.pyannote[3421].start 27515.39346875
transcript.pyannote[3421].end 27515.41034375
transcript.pyannote[3422].speaker SPEAKER_11
transcript.pyannote[3422].start 27515.41034375
transcript.pyannote[3422].end 27544.03034375
transcript.pyannote[3423].speaker SPEAKER_11
transcript.pyannote[3423].start 27544.08096875
transcript.pyannote[3423].end 27557.39534375
transcript.pyannote[3424].speaker SPEAKER_11
transcript.pyannote[3424].start 27557.80034375
transcript.pyannote[3424].end 27571.82346875
transcript.pyannote[3425].speaker SPEAKER_11
transcript.pyannote[3425].start 27571.97534375
transcript.pyannote[3425].end 27574.01721875
transcript.pyannote[3426].speaker SPEAKER_08
transcript.pyannote[3426].start 27572.02596875
transcript.pyannote[3426].end 27576.90284375
transcript.pyannote[3427].speaker SPEAKER_08
transcript.pyannote[3427].start 27576.91971875
transcript.pyannote[3427].end 27580.63221875
transcript.pyannote[3428].speaker SPEAKER_08
transcript.pyannote[3428].start 27580.96971875
transcript.pyannote[3428].end 27586.85909375
transcript.pyannote[3429].speaker SPEAKER_08
transcript.pyannote[3429].start 27587.24721875
transcript.pyannote[3429].end 27587.65221875
transcript.pyannote[3430].speaker SPEAKER_08
transcript.pyannote[3430].start 27588.05721875
transcript.pyannote[3430].end 27596.86596875
transcript.pyannote[3431].speaker SPEAKER_11
transcript.pyannote[3431].start 27596.19096875
transcript.pyannote[3431].end 27598.19909375
transcript.pyannote[3432].speaker SPEAKER_08
transcript.pyannote[3432].start 27597.05159375
transcript.pyannote[3432].end 27597.70971875
transcript.pyannote[3433].speaker SPEAKER_08
transcript.pyannote[3433].start 27597.74346875
transcript.pyannote[3433].end 27601.15221875
transcript.pyannote[3434].speaker SPEAKER_08
transcript.pyannote[3434].start 27601.45596875
transcript.pyannote[3434].end 27603.24471875
transcript.pyannote[3435].speaker SPEAKER_08
transcript.pyannote[3435].start 27603.49784375
transcript.pyannote[3435].end 27604.91534375
transcript.pyannote[3436].speaker SPEAKER_08
transcript.pyannote[3436].start 27605.35409375
transcript.pyannote[3436].end 27607.21034375
transcript.pyannote[3437].speaker SPEAKER_08
transcript.pyannote[3437].start 27607.46346875
transcript.pyannote[3437].end 27609.11721875
transcript.pyannote[3438].speaker SPEAKER_08
transcript.pyannote[3438].start 27609.65721875
transcript.pyannote[3438].end 27611.27721875
transcript.pyannote[3439].speaker SPEAKER_08
transcript.pyannote[3439].start 27611.46284375
transcript.pyannote[3439].end 27615.61409375
transcript.pyannote[3440].speaker SPEAKER_11
transcript.pyannote[3440].start 27614.82096875
transcript.pyannote[3440].end 27622.48221875
transcript.pyannote[3441].speaker SPEAKER_08
transcript.pyannote[3441].start 27622.04346875
transcript.pyannote[3441].end 27623.83221875
transcript.pyannote[3442].speaker SPEAKER_11
transcript.pyannote[3442].start 27623.32596875
transcript.pyannote[3442].end 27629.11409375
transcript.pyannote[3443].speaker SPEAKER_08
transcript.pyannote[3443].start 27628.99596875
transcript.pyannote[3443].end 27635.35784375
transcript.pyannote[3444].speaker SPEAKER_11
transcript.pyannote[3444].start 27629.19846875
transcript.pyannote[3444].end 27630.61596875
transcript.pyannote[3445].speaker SPEAKER_11
transcript.pyannote[3445].start 27634.22721875
transcript.pyannote[3445].end 27634.75034375
transcript.pyannote[3446].speaker SPEAKER_08
transcript.pyannote[3446].start 27635.44221875
transcript.pyannote[3446].end 27635.64471875
transcript.pyannote[3447].speaker SPEAKER_11
transcript.pyannote[3447].start 27636.16784375
transcript.pyannote[3447].end 27642.86721875
transcript.pyannote[3448].speaker SPEAKER_11
transcript.pyannote[3448].start 27643.12034375
transcript.pyannote[3448].end 27654.49409375
transcript.pyannote[3449].speaker SPEAKER_11
transcript.pyannote[3449].start 27654.81471875
transcript.pyannote[3449].end 27673.41096875
transcript.pyannote[3450].speaker SPEAKER_11
transcript.pyannote[3450].start 27673.81596875
transcript.pyannote[3450].end 27678.79409375
transcript.pyannote[3451].speaker SPEAKER_11
transcript.pyannote[3451].start 27678.94596875
transcript.pyannote[3451].end 27683.29971875
transcript.pyannote[3452].speaker SPEAKER_08
transcript.pyannote[3452].start 27682.70909375
transcript.pyannote[3452].end 27688.44659375
transcript.pyannote[3453].speaker SPEAKER_11
transcript.pyannote[3453].start 27688.22721875
transcript.pyannote[3453].end 27695.24721875
transcript.pyannote[3454].speaker SPEAKER_11
transcript.pyannote[3454].start 27695.29784375
transcript.pyannote[3454].end 27701.94659375
transcript.pyannote[3455].speaker SPEAKER_08
transcript.pyannote[3455].start 27699.14534375
transcript.pyannote[3455].end 27700.27596875
transcript.pyannote[3456].speaker SPEAKER_08
transcript.pyannote[3456].start 27702.11534375
transcript.pyannote[3456].end 27706.01346875
transcript.pyannote[3457].speaker SPEAKER_11
transcript.pyannote[3457].start 27705.67596875
transcript.pyannote[3457].end 27708.32534375
transcript.pyannote[3458].speaker SPEAKER_11
transcript.pyannote[3458].start 27708.83159375
transcript.pyannote[3458].end 27744.55596875
transcript.pyannote[3459].speaker SPEAKER_08
transcript.pyannote[3459].start 27708.91596875
transcript.pyannote[3459].end 27709.38846875
transcript.pyannote[3460].speaker SPEAKER_11
transcript.pyannote[3460].start 27744.82596875
transcript.pyannote[3460].end 27751.23846875
transcript.pyannote[3461].speaker SPEAKER_08
transcript.pyannote[3461].start 27747.76221875
transcript.pyannote[3461].end 27749.07846875
transcript.pyannote[3462].speaker SPEAKER_08
transcript.pyannote[3462].start 27749.66909375
transcript.pyannote[3462].end 27755.49096875
transcript.pyannote[3463].speaker SPEAKER_11
transcript.pyannote[3463].start 27754.29284375
transcript.pyannote[3463].end 27778.18784375
transcript.pyannote[3464].speaker SPEAKER_26
transcript.pyannote[3464].start 27784.51596875
transcript.pyannote[3464].end 27788.88659375
transcript.pyannote[3465].speaker SPEAKER_26
transcript.pyannote[3465].start 27797.88096875
transcript.pyannote[3465].end 27802.04909375
transcript.pyannote[3466].speaker SPEAKER_17
transcript.pyannote[3466].start 27811.71846875
transcript.pyannote[3466].end 27820.20659375
transcript.pyannote[3467].speaker SPEAKER_26
transcript.pyannote[3467].start 27820.54409375
transcript.pyannote[3467].end 27821.92784375
transcript.pyannote[3468].speaker SPEAKER_08
transcript.pyannote[3468].start 27831.32721875
transcript.pyannote[3468].end 27831.86721875
transcript.pyannote[3469].speaker SPEAKER_17
transcript.pyannote[3469].start 27832.30596875
transcript.pyannote[3469].end 27832.91346875
transcript.pyannote[3470].speaker SPEAKER_17
transcript.pyannote[3470].start 27833.38596875
transcript.pyannote[3470].end 27849.38346875
transcript.pyannote[3471].speaker SPEAKER_17
transcript.pyannote[3471].start 27849.67034375
transcript.pyannote[3471].end 27867.97971875
transcript.pyannote[3472].speaker SPEAKER_17
transcript.pyannote[3472].start 27868.28346875
transcript.pyannote[3472].end 27870.94971875
transcript.pyannote[3473].speaker SPEAKER_17
transcript.pyannote[3473].start 27871.15221875
transcript.pyannote[3473].end 27932.02034375
transcript.pyannote[3474].speaker SPEAKER_17
transcript.pyannote[3474].start 27932.29034375
transcript.pyannote[3474].end 27950.07659375
transcript.pyannote[3475].speaker SPEAKER_17
transcript.pyannote[3475].start 27950.63346875
transcript.pyannote[3475].end 27999.45284375
transcript.pyannote[3476].speaker SPEAKER_17
transcript.pyannote[3476].start 27999.68909375
transcript.pyannote[3476].end 28000.38096875
transcript.pyannote[3477].speaker SPEAKER_08
transcript.pyannote[3477].start 28000.73534375
transcript.pyannote[3477].end 28003.62096875
transcript.pyannote[3478].speaker SPEAKER_08
transcript.pyannote[3478].start 28004.07659375
transcript.pyannote[3478].end 28005.07221875
transcript.pyannote[3479].speaker SPEAKER_08
transcript.pyannote[3479].start 28005.91596875
transcript.pyannote[3479].end 28016.10846875
transcript.pyannote[3480].speaker SPEAKER_15
transcript.pyannote[3480].start 28007.14784375
transcript.pyannote[3480].end 28007.18159375
transcript.pyannote[3481].speaker SPEAKER_33
transcript.pyannote[3481].start 28007.18159375
transcript.pyannote[3481].end 28007.50221875
transcript.pyannote[3482].speaker SPEAKER_15
transcript.pyannote[3482].start 28007.50221875
transcript.pyannote[3482].end 28007.51909375
transcript.pyannote[3483].speaker SPEAKER_15
transcript.pyannote[3483].start 28007.73846875
transcript.pyannote[3483].end 28007.75534375
transcript.pyannote[3484].speaker SPEAKER_17
transcript.pyannote[3484].start 28007.75534375
transcript.pyannote[3484].end 28007.97471875
transcript.pyannote[3485].speaker SPEAKER_33
transcript.pyannote[3485].start 28008.04221875
transcript.pyannote[3485].end 28009.66221875
transcript.pyannote[3486].speaker SPEAKER_17
transcript.pyannote[3486].start 28009.66221875
transcript.pyannote[3486].end 28009.76346875
transcript.pyannote[3487].speaker SPEAKER_08
transcript.pyannote[3487].start 28016.41221875
transcript.pyannote[3487].end 28016.98596875
transcript.pyannote[3488].speaker SPEAKER_08
transcript.pyannote[3488].start 28017.25596875
transcript.pyannote[3488].end 28018.84221875
transcript.pyannote[3489].speaker SPEAKER_08
transcript.pyannote[3489].start 28019.16284375
transcript.pyannote[3489].end 28024.03971875
transcript.pyannote[3490].speaker SPEAKER_08
transcript.pyannote[3490].start 28024.41096875
transcript.pyannote[3490].end 28025.05221875
transcript.pyannote[3491].speaker SPEAKER_08
transcript.pyannote[3491].start 28025.35596875
transcript.pyannote[3491].end 28025.92971875
transcript.pyannote[3492].speaker SPEAKER_08
transcript.pyannote[3492].start 28025.96346875
transcript.pyannote[3492].end 28028.03909375
transcript.pyannote[3493].speaker SPEAKER_08
transcript.pyannote[3493].start 28028.22471875
transcript.pyannote[3493].end 28029.47346875
transcript.pyannote[3494].speaker SPEAKER_08
transcript.pyannote[3494].start 28029.96284375
transcript.pyannote[3494].end 28032.03846875
transcript.pyannote[3495].speaker SPEAKER_08
transcript.pyannote[3495].start 28032.54471875
transcript.pyannote[3495].end 28033.91159375
transcript.pyannote[3496].speaker SPEAKER_08
transcript.pyannote[3496].start 28034.09721875
transcript.pyannote[3496].end 28035.56534375
transcript.pyannote[3497].speaker SPEAKER_08
transcript.pyannote[3497].start 28035.81846875
transcript.pyannote[3497].end 28037.45534375
transcript.pyannote[3498].speaker SPEAKER_08
transcript.pyannote[3498].start 28037.79284375
transcript.pyannote[3498].end 28038.26534375
transcript.pyannote[3499].speaker SPEAKER_08
transcript.pyannote[3499].start 28038.56909375
transcript.pyannote[3499].end 28041.03284375
transcript.pyannote[3500].speaker SPEAKER_08
transcript.pyannote[3500].start 28041.26909375
transcript.pyannote[3500].end 28041.97784375
transcript.pyannote[3501].speaker SPEAKER_15
transcript.pyannote[3501].start 28041.33659375
transcript.pyannote[3501].end 28041.85971875
transcript.pyannote[3502].speaker SPEAKER_08
transcript.pyannote[3502].start 28042.28159375
transcript.pyannote[3502].end 28045.30221875
transcript.pyannote[3503].speaker SPEAKER_15
transcript.pyannote[3503].start 28042.38284375
transcript.pyannote[3503].end 28043.12534375
transcript.pyannote[3504].speaker SPEAKER_08
transcript.pyannote[3504].start 28045.74096875
transcript.pyannote[3504].end 28049.48721875
transcript.pyannote[3505].speaker SPEAKER_08
transcript.pyannote[3505].start 28050.36471875
transcript.pyannote[3505].end 28054.12784375
transcript.pyannote[3506].speaker SPEAKER_08
transcript.pyannote[3506].start 28054.39784375
transcript.pyannote[3506].end 28055.61284375
transcript.pyannote[3507].speaker SPEAKER_08
transcript.pyannote[3507].start 28056.00096875
transcript.pyannote[3507].end 28060.86096875
transcript.pyannote[3508].speaker SPEAKER_08
transcript.pyannote[3508].start 28061.16471875
transcript.pyannote[3508].end 28062.10971875
transcript.pyannote[3509].speaker SPEAKER_08
transcript.pyannote[3509].start 28062.17721875
transcript.pyannote[3509].end 28062.80159375
transcript.pyannote[3510].speaker SPEAKER_08
transcript.pyannote[3510].start 28063.17284375
transcript.pyannote[3510].end 28063.83096875
transcript.pyannote[3511].speaker SPEAKER_08
transcript.pyannote[3511].start 28063.94909375
transcript.pyannote[3511].end 28065.73784375
transcript.pyannote[3512].speaker SPEAKER_08
transcript.pyannote[3512].start 28065.92346875
transcript.pyannote[3512].end 28066.64909375
transcript.pyannote[3513].speaker SPEAKER_08
transcript.pyannote[3513].start 28066.75034375
transcript.pyannote[3513].end 28067.32409375
transcript.pyannote[3514].speaker SPEAKER_08
transcript.pyannote[3514].start 28067.57721875
transcript.pyannote[3514].end 28069.01159375
transcript.pyannote[3515].speaker SPEAKER_08
transcript.pyannote[3515].start 28069.31534375
transcript.pyannote[3515].end 28076.11596875
transcript.pyannote[3516].speaker SPEAKER_08
transcript.pyannote[3516].start 28076.65596875
transcript.pyannote[3516].end 28079.11971875
transcript.pyannote[3517].speaker SPEAKER_08
transcript.pyannote[3517].start 28079.18721875
transcript.pyannote[3517].end 28080.89159375
transcript.pyannote[3518].speaker SPEAKER_08
transcript.pyannote[3518].start 28081.04346875
transcript.pyannote[3518].end 28083.89534375
transcript.pyannote[3519].speaker SPEAKER_08
transcript.pyannote[3519].start 28083.97971875
transcript.pyannote[3519].end 28086.88221875
transcript.pyannote[3520].speaker SPEAKER_08
transcript.pyannote[3520].start 28087.13534375
transcript.pyannote[3520].end 28091.26971875
transcript.pyannote[3521].speaker SPEAKER_08
transcript.pyannote[3521].start 28091.50596875
transcript.pyannote[3521].end 28094.02034375
transcript.pyannote[3522].speaker SPEAKER_08
transcript.pyannote[3522].start 28094.15534375
transcript.pyannote[3522].end 28096.77096875
transcript.pyannote[3523].speaker SPEAKER_17
transcript.pyannote[3523].start 28097.37846875
transcript.pyannote[3523].end 28100.41596875
transcript.pyannote[3524].speaker SPEAKER_17
transcript.pyannote[3524].start 28100.55096875
transcript.pyannote[3524].end 28167.13971875
transcript.pyannote[3525].speaker SPEAKER_08
transcript.pyannote[3525].start 28167.64596875
transcript.pyannote[3525].end 28169.60346875
transcript.pyannote[3526].speaker SPEAKER_08
transcript.pyannote[3526].start 28170.16034375
transcript.pyannote[3526].end 28171.98284375
transcript.pyannote[3527].speaker SPEAKER_08
transcript.pyannote[3527].start 28172.20221875
transcript.pyannote[3527].end 28173.70409375
transcript.pyannote[3528].speaker SPEAKER_08
transcript.pyannote[3528].start 28173.82221875
transcript.pyannote[3528].end 28176.31971875
transcript.pyannote[3529].speaker SPEAKER_08
transcript.pyannote[3529].start 28176.58971875
transcript.pyannote[3529].end 28179.84659375
transcript.pyannote[3530].speaker SPEAKER_08
transcript.pyannote[3530].start 28180.06596875
transcript.pyannote[3530].end 28185.41534375
transcript.pyannote[3531].speaker SPEAKER_17
transcript.pyannote[3531].start 28185.46596875
transcript.pyannote[3531].end 28195.97909375
transcript.pyannote[3532].speaker SPEAKER_08
transcript.pyannote[3532].start 28193.70096875
transcript.pyannote[3532].end 28201.02471875
transcript.pyannote[3533].speaker SPEAKER_17
transcript.pyannote[3533].start 28199.20221875
transcript.pyannote[3533].end 28211.89221875
transcript.pyannote[3534].speaker SPEAKER_08
transcript.pyannote[3534].start 28212.85409375
transcript.pyannote[3534].end 28218.22034375
transcript.pyannote[3535].speaker SPEAKER_17
transcript.pyannote[3535].start 28214.74409375
transcript.pyannote[3535].end 28222.99596875
transcript.pyannote[3536].speaker SPEAKER_08
transcript.pyannote[3536].start 28223.55284375
transcript.pyannote[3536].end 28223.72159375
transcript.pyannote[3537].speaker SPEAKER_17
transcript.pyannote[3537].start 28223.99159375
transcript.pyannote[3537].end 28228.14284375
transcript.pyannote[3538].speaker SPEAKER_08
transcript.pyannote[3538].start 28228.32846875
transcript.pyannote[3538].end 28229.84721875
transcript.pyannote[3539].speaker SPEAKER_17
transcript.pyannote[3539].start 28230.04971875
transcript.pyannote[3539].end 28233.01971875
transcript.pyannote[3540].speaker SPEAKER_08
transcript.pyannote[3540].start 28233.01971875
transcript.pyannote[3540].end 28233.77909375
transcript.pyannote[3541].speaker SPEAKER_17
transcript.pyannote[3541].start 28233.22221875
transcript.pyannote[3541].end 28235.02784375
transcript.pyannote[3542].speaker SPEAKER_08
transcript.pyannote[3542].start 28234.01534375
transcript.pyannote[3542].end 28236.83346875
transcript.pyannote[3543].speaker SPEAKER_08
transcript.pyannote[3543].start 28237.20471875
transcript.pyannote[3543].end 28241.01846875
transcript.pyannote[3544].speaker SPEAKER_17
transcript.pyannote[3544].start 28240.83284375
transcript.pyannote[3544].end 28240.95096875
transcript.pyannote[3545].speaker SPEAKER_17
transcript.pyannote[3545].start 28241.01846875
transcript.pyannote[3545].end 28243.26284375
transcript.pyannote[3546].speaker SPEAKER_17
transcript.pyannote[3546].start 28243.48221875
transcript.pyannote[3546].end 28245.01784375
transcript.pyannote[3547].speaker SPEAKER_17
transcript.pyannote[3547].start 28245.18659375
transcript.pyannote[3547].end 28246.51971875
transcript.pyannote[3548].speaker SPEAKER_17
transcript.pyannote[3548].start 28247.53221875
transcript.pyannote[3548].end 28250.99159375
transcript.pyannote[3549].speaker SPEAKER_17
transcript.pyannote[3549].start 28251.58221875
transcript.pyannote[3549].end 28254.34971875
transcript.pyannote[3550].speaker SPEAKER_17
transcript.pyannote[3550].start 28254.87284375
transcript.pyannote[3550].end 28269.18284375
transcript.pyannote[3551].speaker SPEAKER_17
transcript.pyannote[3551].start 28269.73971875
transcript.pyannote[3551].end 28272.74346875
transcript.pyannote[3552].speaker SPEAKER_17
transcript.pyannote[3552].start 28273.08096875
transcript.pyannote[3552].end 28273.73909375
transcript.pyannote[3553].speaker SPEAKER_17
transcript.pyannote[3553].start 28274.04284375
transcript.pyannote[3553].end 28275.12284375
transcript.pyannote[3554].speaker SPEAKER_17
transcript.pyannote[3554].start 28275.37596875
transcript.pyannote[3554].end 28276.87784375
transcript.pyannote[3555].speaker SPEAKER_17
transcript.pyannote[3555].start 28277.56971875
transcript.pyannote[3555].end 28277.58659375
transcript.pyannote[3556].speaker SPEAKER_08
transcript.pyannote[3556].start 28277.58659375
transcript.pyannote[3556].end 28278.07596875
transcript.pyannote[3557].speaker SPEAKER_08
transcript.pyannote[3557].start 28278.81846875
transcript.pyannote[3557].end 28284.40409375
transcript.pyannote[3558].speaker SPEAKER_17
transcript.pyannote[3558].start 28282.73346875
transcript.pyannote[3558].end 28284.37034375
transcript.pyannote[3559].speaker SPEAKER_17
transcript.pyannote[3559].start 28284.80909375
transcript.pyannote[3559].end 28290.34409375
transcript.pyannote[3560].speaker SPEAKER_17
transcript.pyannote[3560].start 28290.68159375
transcript.pyannote[3560].end 28293.95534375
transcript.pyannote[3561].speaker SPEAKER_08
transcript.pyannote[3561].start 28293.46596875
transcript.pyannote[3561].end 28293.92159375
transcript.pyannote[3562].speaker SPEAKER_08
transcript.pyannote[3562].start 28293.95534375
transcript.pyannote[3562].end 28297.58346875
transcript.pyannote[3563].speaker SPEAKER_17
transcript.pyannote[3563].start 28297.90409375
transcript.pyannote[3563].end 28331.72159375
transcript.pyannote[3564].speaker SPEAKER_33
transcript.pyannote[3564].start 28303.03409375
transcript.pyannote[3564].end 28303.52346875
transcript.pyannote[3565].speaker SPEAKER_08
transcript.pyannote[3565].start 28303.52346875
transcript.pyannote[3565].end 28303.59096875
transcript.pyannote[3566].speaker SPEAKER_08
transcript.pyannote[3566].start 28332.44721875
transcript.pyannote[3566].end 28337.77971875
transcript.pyannote[3567].speaker SPEAKER_08
transcript.pyannote[3567].start 28338.08346875
transcript.pyannote[3567].end 28340.86784375
transcript.pyannote[3568].speaker SPEAKER_08
transcript.pyannote[3568].start 28341.28971875
transcript.pyannote[3568].end 28343.12909375
transcript.pyannote[3569].speaker SPEAKER_08
transcript.pyannote[3569].start 28343.46659375
transcript.pyannote[3569].end 28344.12471875
transcript.pyannote[3570].speaker SPEAKER_08
transcript.pyannote[3570].start 28344.79971875
transcript.pyannote[3570].end 28348.88346875
transcript.pyannote[3571].speaker SPEAKER_17
transcript.pyannote[3571].start 28348.24221875
transcript.pyannote[3571].end 28348.29284375
transcript.pyannote[3572].speaker SPEAKER_17
transcript.pyannote[3572].start 28348.81596875
transcript.pyannote[3572].end 28373.28471875
transcript.pyannote[3573].speaker SPEAKER_17
transcript.pyannote[3573].start 28373.65596875
transcript.pyannote[3573].end 28384.27034375
transcript.pyannote[3574].speaker SPEAKER_08
transcript.pyannote[3574].start 28384.27034375
transcript.pyannote[3574].end 28389.65346875
transcript.pyannote[3575].speaker SPEAKER_17
transcript.pyannote[3575].start 28388.06721875
transcript.pyannote[3575].end 28388.43846875
transcript.pyannote[3576].speaker SPEAKER_17
transcript.pyannote[3576].start 28389.75471875
transcript.pyannote[3576].end 28396.96034375
transcript.pyannote[3577].speaker SPEAKER_17
transcript.pyannote[3577].start 28397.50034375
transcript.pyannote[3577].end 28399.22159375
transcript.pyannote[3578].speaker SPEAKER_02
transcript.pyannote[3578].start 28397.68596875
transcript.pyannote[3578].end 28411.27034375
transcript.pyannote[3579].speaker SPEAKER_17
transcript.pyannote[3579].start 28410.10596875
transcript.pyannote[3579].end 28426.03596875
transcript.pyannote[3580].speaker SPEAKER_17
transcript.pyannote[3580].start 28426.22159375
transcript.pyannote[3580].end 28427.99346875
transcript.pyannote[3581].speaker SPEAKER_08
transcript.pyannote[3581].start 28429.10721875
transcript.pyannote[3581].end 28431.31784375
transcript.pyannote[3582].speaker SPEAKER_17
transcript.pyannote[3582].start 28431.48659375
transcript.pyannote[3582].end 28433.30909375
transcript.pyannote[3583].speaker SPEAKER_17
transcript.pyannote[3583].start 28433.73096875
transcript.pyannote[3583].end 28434.76034375
transcript.pyannote[3584].speaker SPEAKER_17
transcript.pyannote[3584].start 28436.11034375
transcript.pyannote[3584].end 28440.12659375
transcript.pyannote[3585].speaker SPEAKER_17
transcript.pyannote[3585].start 28440.59909375
transcript.pyannote[3585].end 28443.94034375
transcript.pyannote[3586].speaker SPEAKER_17
transcript.pyannote[3586].start 28444.39596875
transcript.pyannote[3586].end 28445.54346875
transcript.pyannote[3587].speaker SPEAKER_17
transcript.pyannote[3587].start 28445.56034375
transcript.pyannote[3587].end 28446.58971875
transcript.pyannote[3588].speaker SPEAKER_17
transcript.pyannote[3588].start 28447.60221875
transcript.pyannote[3588].end 28449.64409375
transcript.pyannote[3589].speaker SPEAKER_17
transcript.pyannote[3589].start 28450.08284375
transcript.pyannote[3589].end 28466.56971875
transcript.pyannote[3590].speaker SPEAKER_17
transcript.pyannote[3590].start 28467.07596875
transcript.pyannote[3590].end 28474.56846875
transcript.pyannote[3591].speaker SPEAKER_17
transcript.pyannote[3591].start 28474.99034375
transcript.pyannote[3591].end 28481.30159375
transcript.pyannote[3592].speaker SPEAKER_17
transcript.pyannote[3592].start 28481.40284375
transcript.pyannote[3592].end 28484.15346875
transcript.pyannote[3593].speaker SPEAKER_17
transcript.pyannote[3593].start 28484.33909375
transcript.pyannote[3593].end 28500.30284375
transcript.pyannote[3594].speaker SPEAKER_17
transcript.pyannote[3594].start 28500.62346875
transcript.pyannote[3594].end 28503.47534375
transcript.pyannote[3595].speaker SPEAKER_17
transcript.pyannote[3595].start 28503.81284375
transcript.pyannote[3595].end 28506.29346875
transcript.pyannote[3596].speaker SPEAKER_17
transcript.pyannote[3596].start 28506.68159375
transcript.pyannote[3596].end 28529.09159375
transcript.pyannote[3597].speaker SPEAKER_17
transcript.pyannote[3597].start 28529.27721875
transcript.pyannote[3597].end 28530.20534375
transcript.pyannote[3598].speaker SPEAKER_17
transcript.pyannote[3598].start 28530.59346875
transcript.pyannote[3598].end 28540.58346875
transcript.pyannote[3599].speaker SPEAKER_33
transcript.pyannote[3599].start 28538.52471875
transcript.pyannote[3599].end 28541.35971875
transcript.pyannote[3600].speaker SPEAKER_17
transcript.pyannote[3600].start 28540.93784375
transcript.pyannote[3600].end 28553.23971875
transcript.pyannote[3601].speaker SPEAKER_33
transcript.pyannote[3601].start 28542.47346875
transcript.pyannote[3601].end 28542.65909375
transcript.pyannote[3602].speaker SPEAKER_17
transcript.pyannote[3602].start 28553.81346875
transcript.pyannote[3602].end 28554.43784375
transcript.pyannote[3603].speaker SPEAKER_02
transcript.pyannote[3603].start 28554.43784375
transcript.pyannote[3603].end 28554.50534375
transcript.pyannote[3604].speaker SPEAKER_17
transcript.pyannote[3604].start 28554.50534375
transcript.pyannote[3604].end 28554.92721875
transcript.pyannote[3605].speaker SPEAKER_02
transcript.pyannote[3605].start 28554.92721875
transcript.pyannote[3605].end 28554.97784375
transcript.pyannote[3606].speaker SPEAKER_02
transcript.pyannote[3606].start 28555.16346875
transcript.pyannote[3606].end 28573.38846875
transcript.pyannote[3607].speaker SPEAKER_15
transcript.pyannote[3607].start 28561.71096875
transcript.pyannote[3607].end 28561.77846875
transcript.pyannote[3608].speaker SPEAKER_02
transcript.pyannote[3608].start 28573.52346875
transcript.pyannote[3608].end 28576.15596875
transcript.pyannote[3609].speaker SPEAKER_02
transcript.pyannote[3609].start 28576.40909375
transcript.pyannote[3609].end 28579.68284375
transcript.pyannote[3610].speaker SPEAKER_02
transcript.pyannote[3610].start 28580.03721875
transcript.pyannote[3610].end 28580.94846875
transcript.pyannote[3611].speaker SPEAKER_02
transcript.pyannote[3611].start 28581.38721875
transcript.pyannote[3611].end 28583.47971875
transcript.pyannote[3612].speaker SPEAKER_02
transcript.pyannote[3612].start 28583.81721875
transcript.pyannote[3612].end 28598.27909375
transcript.pyannote[3613].speaker SPEAKER_02
transcript.pyannote[3613].start 28598.85284375
transcript.pyannote[3613].end 28603.02096875
transcript.pyannote[3614].speaker SPEAKER_02
transcript.pyannote[3614].start 28603.40909375
transcript.pyannote[3614].end 28605.16409375
transcript.pyannote[3615].speaker SPEAKER_17
transcript.pyannote[3615].start 28605.77159375
transcript.pyannote[3615].end 28605.85596875
transcript.pyannote[3616].speaker SPEAKER_02
transcript.pyannote[3616].start 28605.85596875
transcript.pyannote[3616].end 28605.95721875
transcript.pyannote[3617].speaker SPEAKER_17
transcript.pyannote[3617].start 28605.95721875
transcript.pyannote[3617].end 28606.19346875
transcript.pyannote[3618].speaker SPEAKER_02
transcript.pyannote[3618].start 28606.78409375
transcript.pyannote[3618].end 28607.69534375
transcript.pyannote[3619].speaker SPEAKER_17
transcript.pyannote[3619].start 28607.69534375
transcript.pyannote[3619].end 28607.76284375
transcript.pyannote[3620].speaker SPEAKER_02
transcript.pyannote[3620].start 28607.76284375
transcript.pyannote[3620].end 28607.79659375
transcript.pyannote[3621].speaker SPEAKER_17
transcript.pyannote[3621].start 28607.79659375
transcript.pyannote[3621].end 28608.25221875
transcript.pyannote[3622].speaker SPEAKER_17
transcript.pyannote[3622].start 28608.70784375
transcript.pyannote[3622].end 28610.91846875
transcript.pyannote[3623].speaker SPEAKER_17
transcript.pyannote[3623].start 28611.50909375
transcript.pyannote[3623].end 28615.17096875
transcript.pyannote[3624].speaker SPEAKER_17
transcript.pyannote[3624].start 28615.74471875
transcript.pyannote[3624].end 28632.70409375
transcript.pyannote[3625].speaker SPEAKER_17
transcript.pyannote[3625].start 28633.07534375
transcript.pyannote[3625].end 28642.76159375
transcript.pyannote[3626].speaker SPEAKER_02
transcript.pyannote[3626].start 28640.80409375
transcript.pyannote[3626].end 28651.01346875
transcript.pyannote[3627].speaker SPEAKER_17
transcript.pyannote[3627].start 28644.68534375
transcript.pyannote[3627].end 28645.07346875
transcript.pyannote[3628].speaker SPEAKER_17
transcript.pyannote[3628].start 28649.03909375
transcript.pyannote[3628].end 28649.62971875
transcript.pyannote[3629].speaker SPEAKER_02
transcript.pyannote[3629].start 28651.14846875
transcript.pyannote[3629].end 28651.48596875
transcript.pyannote[3630].speaker SPEAKER_17
transcript.pyannote[3630].start 28651.48596875
transcript.pyannote[3630].end 28651.58721875
transcript.pyannote[3631].speaker SPEAKER_02
transcript.pyannote[3631].start 28651.58721875
transcript.pyannote[3631].end 28651.80659375
transcript.pyannote[3632].speaker SPEAKER_02
transcript.pyannote[3632].start 28652.31284375
transcript.pyannote[3632].end 28652.32971875
transcript.pyannote[3633].speaker SPEAKER_17
transcript.pyannote[3633].start 28652.32971875
transcript.pyannote[3633].end 28654.70909375
transcript.pyannote[3634].speaker SPEAKER_17
transcript.pyannote[3634].start 28655.23221875
transcript.pyannote[3634].end 28662.65721875
transcript.pyannote[3635].speaker SPEAKER_17
transcript.pyannote[3635].start 28663.07909375
transcript.pyannote[3635].end 28664.41221875
transcript.pyannote[3636].speaker SPEAKER_33
transcript.pyannote[3636].start 28663.78784375
transcript.pyannote[3636].end 28664.05784375
transcript.pyannote[3637].speaker SPEAKER_17
transcript.pyannote[3637].start 28665.01971875
transcript.pyannote[3637].end 28667.19659375
transcript.pyannote[3638].speaker SPEAKER_33
transcript.pyannote[3638].start 28667.19659375
transcript.pyannote[3638].end 28667.90534375
transcript.pyannote[3639].speaker SPEAKER_17
transcript.pyannote[3639].start 28667.56784375
transcript.pyannote[3639].end 28671.73596875
transcript.pyannote[3640].speaker SPEAKER_17
transcript.pyannote[3640].start 28671.83721875
transcript.pyannote[3640].end 28680.12284375
transcript.pyannote[3641].speaker SPEAKER_16
transcript.pyannote[3641].start 28676.44409375
transcript.pyannote[3641].end 28677.15284375
transcript.pyannote[3642].speaker SPEAKER_17
transcript.pyannote[3642].start 28680.46034375
transcript.pyannote[3642].end 28689.23534375
transcript.pyannote[3643].speaker SPEAKER_17
transcript.pyannote[3643].start 28689.60659375
transcript.pyannote[3643].end 28693.69034375
transcript.pyannote[3644].speaker SPEAKER_17
transcript.pyannote[3644].start 28694.12909375
transcript.pyannote[3644].end 28696.05284375
transcript.pyannote[3645].speaker SPEAKER_17
transcript.pyannote[3645].start 28696.30596875
transcript.pyannote[3645].end 28702.81971875
transcript.pyannote[3646].speaker SPEAKER_17
transcript.pyannote[3646].start 28703.24159375
transcript.pyannote[3646].end 28705.55346875
transcript.pyannote[3647].speaker SPEAKER_17
transcript.pyannote[3647].start 28706.09346875
transcript.pyannote[3647].end 28707.91596875
transcript.pyannote[3648].speaker SPEAKER_17
transcript.pyannote[3648].start 28708.33784375
transcript.pyannote[3648].end 28723.81221875
transcript.pyannote[3649].speaker SPEAKER_17
transcript.pyannote[3649].start 28724.20034375
transcript.pyannote[3649].end 28727.35596875
transcript.pyannote[3650].speaker SPEAKER_17
transcript.pyannote[3650].start 28727.71034375
transcript.pyannote[3650].end 28729.83659375
transcript.pyannote[3651].speaker SPEAKER_17
transcript.pyannote[3651].start 28730.27534375
transcript.pyannote[3651].end 28740.61971875
transcript.pyannote[3652].speaker SPEAKER_02
transcript.pyannote[3652].start 28736.28284375
transcript.pyannote[3652].end 28737.54846875
transcript.pyannote[3653].speaker SPEAKER_02
transcript.pyannote[3653].start 28740.61971875
transcript.pyannote[3653].end 28750.62659375
transcript.pyannote[3654].speaker SPEAKER_17
transcript.pyannote[3654].start 28747.52159375
transcript.pyannote[3654].end 28747.89284375
transcript.pyannote[3655].speaker SPEAKER_02
transcript.pyannote[3655].start 28751.26784375
transcript.pyannote[3655].end 28752.97221875
transcript.pyannote[3656].speaker SPEAKER_17
transcript.pyannote[3656].start 28751.92596875
transcript.pyannote[3656].end 28752.90471875
transcript.pyannote[3657].speaker SPEAKER_02
transcript.pyannote[3657].start 28753.20846875
transcript.pyannote[3657].end 28753.37721875
transcript.pyannote[3658].speaker SPEAKER_17
transcript.pyannote[3658].start 28753.37721875
transcript.pyannote[3658].end 28756.04346875
transcript.pyannote[3659].speaker SPEAKER_02
transcript.pyannote[3659].start 28754.69346875
transcript.pyannote[3659].end 28755.75659375
transcript.pyannote[3660].speaker SPEAKER_33
transcript.pyannote[3660].start 28756.12784375
transcript.pyannote[3660].end 28756.22909375
transcript.pyannote[3661].speaker SPEAKER_17
transcript.pyannote[3661].start 28756.22909375
transcript.pyannote[3661].end 28765.52721875
transcript.pyannote[3662].speaker SPEAKER_33
transcript.pyannote[3662].start 28756.26284375
transcript.pyannote[3662].end 28756.31346875
transcript.pyannote[3663].speaker SPEAKER_02
transcript.pyannote[3663].start 28756.31346875
transcript.pyannote[3663].end 28756.54971875
transcript.pyannote[3664].speaker SPEAKER_02
transcript.pyannote[3664].start 28765.35846875
transcript.pyannote[3664].end 28765.39221875
transcript.pyannote[3665].speaker SPEAKER_02
transcript.pyannote[3665].start 28765.42596875
transcript.pyannote[3665].end 28769.27346875
transcript.pyannote[3666].speaker SPEAKER_17
transcript.pyannote[3666].start 28766.20221875
transcript.pyannote[3666].end 28766.21909375
transcript.pyannote[3667].speaker SPEAKER_17
transcript.pyannote[3667].start 28767.23159375
transcript.pyannote[3667].end 28769.23971875
transcript.pyannote[3668].speaker SPEAKER_17
transcript.pyannote[3668].start 28769.27346875
transcript.pyannote[3668].end 28769.34096875
transcript.pyannote[3669].speaker SPEAKER_17
transcript.pyannote[3669].start 28769.49284375
transcript.pyannote[3669].end 28771.04534375
transcript.pyannote[3670].speaker SPEAKER_02
transcript.pyannote[3670].start 28771.04534375
transcript.pyannote[3670].end 28771.72034375
transcript.pyannote[3671].speaker SPEAKER_17
transcript.pyannote[3671].start 28771.72034375
transcript.pyannote[3671].end 28776.73221875
transcript.pyannote[3672].speaker SPEAKER_17
transcript.pyannote[3672].start 28777.08659375
transcript.pyannote[3672].end 28783.60034375
transcript.pyannote[3673].speaker SPEAKER_33
transcript.pyannote[3673].start 28784.76471875
transcript.pyannote[3673].end 28784.78159375
transcript.pyannote[3674].speaker SPEAKER_17
transcript.pyannote[3674].start 28784.78159375
transcript.pyannote[3674].end 28786.08096875
transcript.pyannote[3675].speaker SPEAKER_02
transcript.pyannote[3675].start 28784.98409375
transcript.pyannote[3675].end 28797.94409375
transcript.pyannote[3676].speaker SPEAKER_17
transcript.pyannote[3676].start 28797.30284375
transcript.pyannote[3676].end 28797.69096875
transcript.pyannote[3677].speaker SPEAKER_17
transcript.pyannote[3677].start 28797.94409375
transcript.pyannote[3677].end 28805.84159375
transcript.pyannote[3678].speaker SPEAKER_02
transcript.pyannote[3678].start 28806.46596875
transcript.pyannote[3678].end 28808.96346875
transcript.pyannote[3679].speaker SPEAKER_17
transcript.pyannote[3679].start 28807.47846875
transcript.pyannote[3679].end 28807.88346875
transcript.pyannote[3680].speaker SPEAKER_33
transcript.pyannote[3680].start 28807.88346875
transcript.pyannote[3680].end 28807.90034375
transcript.pyannote[3681].speaker SPEAKER_02
transcript.pyannote[3681].start 28809.14909375
transcript.pyannote[3681].end 28810.87034375
transcript.pyannote[3682].speaker SPEAKER_02
transcript.pyannote[3682].start 28810.92096875
transcript.pyannote[3682].end 28816.96221875
transcript.pyannote[3683].speaker SPEAKER_17
transcript.pyannote[3683].start 28816.96221875
transcript.pyannote[3683].end 28843.38846875
transcript.pyannote[3684].speaker SPEAKER_16
transcript.pyannote[3684].start 28821.60284375
transcript.pyannote[3684].end 28822.10909375
transcript.pyannote[3685].speaker SPEAKER_16
transcript.pyannote[3685].start 28826.68221875
transcript.pyannote[3685].end 28827.91409375
transcript.pyannote[3686].speaker SPEAKER_16
transcript.pyannote[3686].start 28832.95971875
transcript.pyannote[3686].end 28833.80346875
transcript.pyannote[3687].speaker SPEAKER_17
transcript.pyannote[3687].start 28843.87784375
transcript.pyannote[3687].end 28888.86659375
transcript.pyannote[3688].speaker SPEAKER_17
transcript.pyannote[3688].start 28889.55846875
transcript.pyannote[3688].end 28891.51596875
transcript.pyannote[3689].speaker SPEAKER_17
transcript.pyannote[3689].start 28892.07284375
transcript.pyannote[3689].end 28893.28784375
transcript.pyannote[3690].speaker SPEAKER_09
transcript.pyannote[3690].start 28892.24159375
transcript.pyannote[3690].end 28892.96721875
transcript.pyannote[3691].speaker SPEAKER_18
transcript.pyannote[3691].start 28892.96721875
transcript.pyannote[3691].end 28892.98409375
transcript.pyannote[3692].speaker SPEAKER_00
transcript.pyannote[3692].start 28892.98409375
transcript.pyannote[3692].end 28893.05159375
transcript.pyannote[3693].speaker SPEAKER_17
transcript.pyannote[3693].start 28893.49034375
transcript.pyannote[3693].end 28895.58284375
transcript.pyannote[3694].speaker SPEAKER_17
transcript.pyannote[3694].start 28896.78096875
transcript.pyannote[3694].end 28897.96221875
transcript.pyannote[3695].speaker SPEAKER_17
transcript.pyannote[3695].start 28898.48534375
transcript.pyannote[3695].end 28905.65721875
transcript.pyannote[3696].speaker SPEAKER_17
transcript.pyannote[3696].start 28906.46721875
transcript.pyannote[3696].end 28907.02409375
transcript.pyannote[3697].speaker SPEAKER_02
transcript.pyannote[3697].start 28907.02409375
transcript.pyannote[3697].end 28915.12409375
transcript.pyannote[3698].speaker SPEAKER_17
transcript.pyannote[3698].start 28915.09034375
transcript.pyannote[3698].end 28921.75596875
transcript.pyannote[3699].speaker SPEAKER_17
transcript.pyannote[3699].start 28921.94159375
transcript.pyannote[3699].end 28925.36721875
transcript.pyannote[3700].speaker SPEAKER_17
transcript.pyannote[3700].start 28926.09284375
transcript.pyannote[3700].end 28964.04471875
transcript.pyannote[3701].speaker SPEAKER_02
transcript.pyannote[3701].start 28928.47221875
transcript.pyannote[3701].end 28928.48909375
transcript.pyannote[3702].speaker SPEAKER_14
transcript.pyannote[3702].start 28928.48909375
transcript.pyannote[3702].end 28929.07971875
transcript.pyannote[3703].speaker SPEAKER_17
transcript.pyannote[3703].start 28964.60159375
transcript.pyannote[3703].end 28971.55409375
transcript.pyannote[3704].speaker SPEAKER_02
transcript.pyannote[3704].start 28968.19596875
transcript.pyannote[3704].end 28968.88784375
transcript.pyannote[3705].speaker SPEAKER_02
transcript.pyannote[3705].start 28971.55409375
transcript.pyannote[3705].end 28977.98346875
transcript.pyannote[3706].speaker SPEAKER_17
transcript.pyannote[3706].start 28975.46909375
transcript.pyannote[3706].end 28978.75971875
transcript.pyannote[3707].speaker SPEAKER_17
transcript.pyannote[3707].start 28978.87784375
transcript.pyannote[3707].end 28982.47221875
transcript.pyannote[3708].speaker SPEAKER_17
transcript.pyannote[3708].start 28982.82659375
transcript.pyannote[3708].end 28987.34909375
transcript.pyannote[3709].speaker SPEAKER_17
transcript.pyannote[3709].start 28987.73721875
transcript.pyannote[3709].end 28995.17909375
transcript.pyannote[3710].speaker SPEAKER_17
transcript.pyannote[3710].start 28995.61784375
transcript.pyannote[3710].end 29002.65471875
transcript.pyannote[3711].speaker SPEAKER_17
transcript.pyannote[3711].start 29003.05971875
transcript.pyannote[3711].end 29007.27846875
transcript.pyannote[3712].speaker SPEAKER_17
transcript.pyannote[3712].start 29007.44721875
transcript.pyannote[3712].end 29016.77909375
transcript.pyannote[3713].speaker SPEAKER_14
transcript.pyannote[3713].start 29011.31159375
transcript.pyannote[3713].end 29011.96971875
transcript.pyannote[3714].speaker SPEAKER_00
transcript.pyannote[3714].start 29011.96971875
transcript.pyannote[3714].end 29012.47596875
transcript.pyannote[3715].speaker SPEAKER_00
transcript.pyannote[3715].start 29012.71221875
transcript.pyannote[3715].end 29013.03284375
transcript.pyannote[3716].speaker SPEAKER_16
transcript.pyannote[3716].start 29013.03284375
transcript.pyannote[3716].end 29014.95659375
transcript.pyannote[3717].speaker SPEAKER_17
transcript.pyannote[3717].start 29017.36971875
transcript.pyannote[3717].end 29017.82534375
transcript.pyannote[3718].speaker SPEAKER_17
transcript.pyannote[3718].start 29018.38221875
transcript.pyannote[3718].end 29020.03596875
transcript.pyannote[3719].speaker SPEAKER_17
transcript.pyannote[3719].start 29020.47471875
transcript.pyannote[3719].end 29023.46159375
transcript.pyannote[3720].speaker SPEAKER_17
transcript.pyannote[3720].start 29023.90034375
transcript.pyannote[3720].end 29036.03346875
transcript.pyannote[3721].speaker SPEAKER_17
transcript.pyannote[3721].start 29036.30346875
transcript.pyannote[3721].end 29038.58159375
transcript.pyannote[3722].speaker SPEAKER_17
transcript.pyannote[3722].start 29039.56034375
transcript.pyannote[3722].end 29041.87221875
transcript.pyannote[3723].speaker SPEAKER_17
transcript.pyannote[3723].start 29042.20971875
transcript.pyannote[3723].end 29043.17159375
transcript.pyannote[3724].speaker SPEAKER_08
transcript.pyannote[3724].start 29043.96471875
transcript.pyannote[3724].end 29050.54596875
transcript.pyannote[3725].speaker SPEAKER_17
transcript.pyannote[3725].start 29050.54596875
transcript.pyannote[3725].end 29053.88721875
transcript.pyannote[3726].speaker SPEAKER_08
transcript.pyannote[3726].start 29050.96784375
transcript.pyannote[3726].end 29052.03096875
transcript.pyannote[3727].speaker SPEAKER_08
transcript.pyannote[3727].start 29054.42721875
transcript.pyannote[3727].end 29055.32159375
transcript.pyannote[3728].speaker SPEAKER_17
transcript.pyannote[3728].start 29054.57909375
transcript.pyannote[3728].end 29058.37596875
transcript.pyannote[3729].speaker SPEAKER_08
transcript.pyannote[3729].start 29056.30034375
transcript.pyannote[3729].end 29057.66721875
transcript.pyannote[3730].speaker SPEAKER_08
transcript.pyannote[3730].start 29058.03846875
transcript.pyannote[3730].end 29061.63284375
transcript.pyannote[3731].speaker SPEAKER_17
transcript.pyannote[3731].start 29061.54846875
transcript.pyannote[3731].end 29064.87284375
transcript.pyannote[3732].speaker SPEAKER_08
transcript.pyannote[3732].start 29062.47659375
transcript.pyannote[3732].end 29062.91534375
transcript.pyannote[3733].speaker SPEAKER_08
transcript.pyannote[3733].start 29064.53534375
transcript.pyannote[3733].end 29072.85471875
transcript.pyannote[3734].speaker SPEAKER_17
transcript.pyannote[3734].start 29067.45471875
transcript.pyannote[3734].end 29067.82596875
transcript.pyannote[3735].speaker SPEAKER_08
transcript.pyannote[3735].start 29073.29346875
transcript.pyannote[3735].end 29082.86159375
transcript.pyannote[3736].speaker SPEAKER_17
transcript.pyannote[3736].start 29082.01784375
transcript.pyannote[3736].end 29088.64971875
transcript.pyannote[3737].speaker SPEAKER_08
transcript.pyannote[3737].start 29084.78534375
transcript.pyannote[3737].end 29085.42659375
transcript.pyannote[3738].speaker SPEAKER_17
transcript.pyannote[3738].start 29089.32471875
transcript.pyannote[3738].end 29100.39471875
transcript.pyannote[3739].speaker SPEAKER_17
transcript.pyannote[3739].start 29101.15409375
transcript.pyannote[3739].end 29101.81221875
transcript.pyannote[3740].speaker SPEAKER_02
transcript.pyannote[3740].start 29101.81221875
transcript.pyannote[3740].end 29103.51659375
transcript.pyannote[3741].speaker SPEAKER_17
transcript.pyannote[3741].start 29101.93034375
transcript.pyannote[3741].end 29105.42346875
transcript.pyannote[3742].speaker SPEAKER_02
transcript.pyannote[3742].start 29105.82846875
transcript.pyannote[3742].end 29110.09784375
transcript.pyannote[3743].speaker SPEAKER_02
transcript.pyannote[3743].start 29110.28346875
transcript.pyannote[3743].end 29112.78096875
transcript.pyannote[3744].speaker SPEAKER_02
transcript.pyannote[3744].start 29113.00034375
transcript.pyannote[3744].end 29116.81409375
transcript.pyannote[3745].speaker SPEAKER_17
transcript.pyannote[3745].start 29116.32471875
transcript.pyannote[3745].end 29124.12096875
transcript.pyannote[3746].speaker SPEAKER_02
transcript.pyannote[3746].start 29122.34909375
transcript.pyannote[3746].end 29122.36596875
transcript.pyannote[3747].speaker SPEAKER_33
transcript.pyannote[3747].start 29122.36596875
transcript.pyannote[3747].end 29124.03659375
transcript.pyannote[3748].speaker SPEAKER_08
transcript.pyannote[3748].start 29124.03659375
transcript.pyannote[3748].end 29124.23909375
transcript.pyannote[3749].speaker SPEAKER_17
transcript.pyannote[3749].start 29124.50909375
transcript.pyannote[3749].end 29127.96846875
transcript.pyannote[3750].speaker SPEAKER_17
transcript.pyannote[3750].start 29128.50846875
transcript.pyannote[3750].end 29129.97659375
transcript.pyannote[3751].speaker SPEAKER_08
transcript.pyannote[3751].start 29130.11159375
transcript.pyannote[3751].end 29131.37721875
transcript.pyannote[3752].speaker SPEAKER_17
transcript.pyannote[3752].start 29131.02284375
transcript.pyannote[3752].end 29134.34721875
transcript.pyannote[3753].speaker SPEAKER_08
transcript.pyannote[3753].start 29132.08596875
transcript.pyannote[3753].end 29145.90659375
transcript.pyannote[3754].speaker SPEAKER_17
transcript.pyannote[3754].start 29145.90659375
transcript.pyannote[3754].end 29146.51409375
transcript.pyannote[3755].speaker SPEAKER_17
transcript.pyannote[3755].start 29146.80096875
transcript.pyannote[3755].end 29154.96846875
transcript.pyannote[3756].speaker SPEAKER_08
transcript.pyannote[3756].start 29147.25659375
transcript.pyannote[3756].end 29148.84284375
transcript.pyannote[3757].speaker SPEAKER_16
transcript.pyannote[3757].start 29154.96846875
transcript.pyannote[3757].end 29155.06971875
transcript.pyannote[3758].speaker SPEAKER_17
transcript.pyannote[3758].start 29155.06971875
transcript.pyannote[3758].end 29161.51596875
transcript.pyannote[3759].speaker SPEAKER_16
transcript.pyannote[3759].start 29160.84096875
transcript.pyannote[3759].end 29161.21221875
transcript.pyannote[3760].speaker SPEAKER_17
transcript.pyannote[3760].start 29162.25846875
transcript.pyannote[3760].end 29166.08909375
transcript.pyannote[3761].speaker SPEAKER_17
transcript.pyannote[3761].start 29166.35909375
transcript.pyannote[3761].end 29179.18409375
transcript.pyannote[3762].speaker SPEAKER_08
transcript.pyannote[3762].start 29175.96096875
transcript.pyannote[3762].end 29178.98159375
transcript.pyannote[3763].speaker SPEAKER_08
transcript.pyannote[3763].start 29179.43721875
transcript.pyannote[3763].end 29182.03596875
transcript.pyannote[3764].speaker SPEAKER_08
transcript.pyannote[3764].start 29182.30596875
transcript.pyannote[3764].end 29183.58846875
transcript.pyannote[3765].speaker SPEAKER_08
transcript.pyannote[3765].start 29183.97659375
transcript.pyannote[3765].end 29187.33471875
transcript.pyannote[3766].speaker SPEAKER_08
transcript.pyannote[3766].start 29187.65534375
transcript.pyannote[3766].end 29188.36409375
transcript.pyannote[3767].speaker SPEAKER_08
transcript.pyannote[3767].start 29189.42721875
transcript.pyannote[3767].end 29192.49846875
transcript.pyannote[3768].speaker SPEAKER_17
transcript.pyannote[3768].start 29189.51159375
transcript.pyannote[3768].end 29191.51971875
transcript.pyannote[3769].speaker SPEAKER_17
transcript.pyannote[3769].start 29192.24534375
transcript.pyannote[3769].end 29210.38596875
transcript.pyannote[3770].speaker SPEAKER_08
transcript.pyannote[3770].start 29199.80534375
transcript.pyannote[3770].end 29200.51409375
transcript.pyannote[3771].speaker SPEAKER_20
transcript.pyannote[3771].start 29200.51409375
transcript.pyannote[3771].end 29200.53096875
transcript.pyannote[3772].speaker SPEAKER_09
transcript.pyannote[3772].start 29200.53096875
transcript.pyannote[3772].end 29200.56471875
transcript.pyannote[3773].speaker SPEAKER_09
transcript.pyannote[3773].start 29208.88409375
transcript.pyannote[3773].end 29209.40721875
transcript.pyannote[3774].speaker SPEAKER_08
transcript.pyannote[3774].start 29209.40721875
transcript.pyannote[3774].end 29209.42409375
transcript.pyannote[3775].speaker SPEAKER_09
transcript.pyannote[3775].start 29209.42409375
transcript.pyannote[3775].end 29209.45784375
transcript.pyannote[3776].speaker SPEAKER_08
transcript.pyannote[3776].start 29210.25096875
transcript.pyannote[3776].end 29210.31846875
transcript.pyannote[3777].speaker SPEAKER_09
transcript.pyannote[3777].start 29210.38596875
transcript.pyannote[3777].end 29210.43659375
transcript.pyannote[3778].speaker SPEAKER_08
transcript.pyannote[3778].start 29210.43659375
transcript.pyannote[3778].end 29210.52096875
transcript.pyannote[3779].speaker SPEAKER_09
transcript.pyannote[3779].start 29210.52096875
transcript.pyannote[3779].end 29210.55471875
transcript.pyannote[3780].speaker SPEAKER_17
transcript.pyannote[3780].start 29210.55471875
transcript.pyannote[3780].end 29213.71034375
transcript.pyannote[3781].speaker SPEAKER_09
transcript.pyannote[3781].start 29213.81159375
transcript.pyannote[3781].end 29214.16596875
transcript.pyannote[3782].speaker SPEAKER_17
transcript.pyannote[3782].start 29214.45284375
transcript.pyannote[3782].end 29217.86159375
transcript.pyannote[3783].speaker SPEAKER_17
transcript.pyannote[3783].start 29218.13159375
transcript.pyannote[3783].end 29221.69221875
transcript.pyannote[3784].speaker SPEAKER_17
transcript.pyannote[3784].start 29222.51909375
transcript.pyannote[3784].end 29224.13909375
transcript.pyannote[3785].speaker SPEAKER_08
transcript.pyannote[3785].start 29222.65409375
transcript.pyannote[3785].end 29228.17221875
transcript.pyannote[3786].speaker SPEAKER_17
transcript.pyannote[3786].start 29228.42534375
transcript.pyannote[3786].end 29233.26846875
transcript.pyannote[3787].speaker SPEAKER_08
transcript.pyannote[3787].start 29228.89784375
transcript.pyannote[3787].end 29230.87221875
transcript.pyannote[3788].speaker SPEAKER_17
transcript.pyannote[3788].start 29233.84221875
transcript.pyannote[3788].end 29244.25409375
transcript.pyannote[3789].speaker SPEAKER_17
transcript.pyannote[3789].start 29244.77721875
transcript.pyannote[3789].end 29252.03346875
transcript.pyannote[3790].speaker SPEAKER_02
transcript.pyannote[3790].start 29245.94159375
transcript.pyannote[3790].end 29250.53159375
transcript.pyannote[3791].speaker SPEAKER_17
transcript.pyannote[3791].start 29252.59034375
transcript.pyannote[3791].end 29259.88034375
transcript.pyannote[3792].speaker SPEAKER_17
transcript.pyannote[3792].start 29260.20096875
transcript.pyannote[3792].end 29270.56221875
transcript.pyannote[3793].speaker SPEAKER_11
transcript.pyannote[3793].start 29260.35284375
transcript.pyannote[3793].end 29260.97721875
transcript.pyannote[3794].speaker SPEAKER_11
transcript.pyannote[3794].start 29261.33159375
transcript.pyannote[3794].end 29262.02346875
transcript.pyannote[3795].speaker SPEAKER_02
transcript.pyannote[3795].start 29262.02346875
transcript.pyannote[3795].end 29262.64784375
transcript.pyannote[3796].speaker SPEAKER_11
transcript.pyannote[3796].start 29262.64784375
transcript.pyannote[3796].end 29263.03596875
transcript.pyannote[3797].speaker SPEAKER_02
transcript.pyannote[3797].start 29263.03596875
transcript.pyannote[3797].end 29263.50846875
transcript.pyannote[3798].speaker SPEAKER_11
transcript.pyannote[3798].start 29263.50846875
transcript.pyannote[3798].end 29263.57596875
transcript.pyannote[3799].speaker SPEAKER_02
transcript.pyannote[3799].start 29269.06034375
transcript.pyannote[3799].end 29274.07221875
transcript.pyannote[3800].speaker SPEAKER_17
transcript.pyannote[3800].start 29271.84471875
transcript.pyannote[3800].end 29272.63784375
transcript.pyannote[3801].speaker SPEAKER_17
transcript.pyannote[3801].start 29273.26221875
transcript.pyannote[3801].end 29273.71784375
transcript.pyannote[3802].speaker SPEAKER_17
transcript.pyannote[3802].start 29274.22409375
transcript.pyannote[3802].end 29276.40096875
transcript.pyannote[3803].speaker SPEAKER_17
transcript.pyannote[3803].start 29277.14346875
transcript.pyannote[3803].end 29279.35409375
transcript.pyannote[3804].speaker SPEAKER_17
transcript.pyannote[3804].start 29279.87721875
transcript.pyannote[3804].end 29283.48846875
transcript.pyannote[3805].speaker SPEAKER_17
transcript.pyannote[3805].start 29283.62346875
transcript.pyannote[3805].end 29285.05784375
transcript.pyannote[3806].speaker SPEAKER_17
transcript.pyannote[3806].start 29285.74971875
transcript.pyannote[3806].end 29288.90534375
transcript.pyannote[3807].speaker SPEAKER_17
transcript.pyannote[3807].start 29289.41159375
transcript.pyannote[3807].end 29290.82909375
transcript.pyannote[3808].speaker SPEAKER_17
transcript.pyannote[3808].start 29291.11596875
transcript.pyannote[3808].end 29291.30159375
transcript.pyannote[3809].speaker SPEAKER_17
transcript.pyannote[3809].start 29291.85846875
transcript.pyannote[3809].end 29293.84971875
transcript.pyannote[3810].speaker SPEAKER_17
transcript.pyannote[3810].start 29294.37284375
transcript.pyannote[3810].end 29295.14909375
transcript.pyannote[3811].speaker SPEAKER_17
transcript.pyannote[3811].start 29295.21659375
transcript.pyannote[3811].end 29302.25346875
transcript.pyannote[3812].speaker SPEAKER_00
transcript.pyannote[3812].start 29299.28346875
transcript.pyannote[3812].end 29299.75596875
transcript.pyannote[3813].speaker SPEAKER_00
transcript.pyannote[3813].start 29300.36346875
transcript.pyannote[3813].end 29300.86971875
transcript.pyannote[3814].speaker SPEAKER_17
transcript.pyannote[3814].start 29302.38846875
transcript.pyannote[3814].end 29305.20659375
transcript.pyannote[3815].speaker SPEAKER_17
transcript.pyannote[3815].start 29305.64534375
transcript.pyannote[3815].end 29307.80534375
transcript.pyannote[3816].speaker SPEAKER_17
transcript.pyannote[3816].start 29307.97409375
transcript.pyannote[3816].end 29310.67409375
transcript.pyannote[3817].speaker SPEAKER_17
transcript.pyannote[3817].start 29311.21409375
transcript.pyannote[3817].end 29312.10846875
transcript.pyannote[3818].speaker SPEAKER_17
transcript.pyannote[3818].start 29312.96909375
transcript.pyannote[3818].end 29313.88034375
transcript.pyannote[3819].speaker SPEAKER_17
transcript.pyannote[3819].start 29314.18409375
transcript.pyannote[3819].end 29315.63534375
transcript.pyannote[3820].speaker SPEAKER_17
transcript.pyannote[3820].start 29316.15846875
transcript.pyannote[3820].end 29318.33534375
transcript.pyannote[3821].speaker SPEAKER_17
transcript.pyannote[3821].start 29318.74034375
transcript.pyannote[3821].end 29321.22096875
transcript.pyannote[3822].speaker SPEAKER_17
transcript.pyannote[3822].start 29321.54159375
transcript.pyannote[3822].end 29324.10659375
transcript.pyannote[3823].speaker SPEAKER_17
transcript.pyannote[3823].start 29324.71409375
transcript.pyannote[3823].end 29325.22034375
transcript.pyannote[3824].speaker SPEAKER_17
transcript.pyannote[3824].start 29325.82784375
transcript.pyannote[3824].end 29326.46909375
transcript.pyannote[3825].speaker SPEAKER_17
transcript.pyannote[3825].start 29327.36346875
transcript.pyannote[3825].end 29327.95409375
transcript.pyannote[3826].speaker SPEAKER_17
transcript.pyannote[3826].start 29329.13534375
transcript.pyannote[3826].end 29329.89471875
transcript.pyannote[3827].speaker SPEAKER_08
transcript.pyannote[3827].start 29329.89471875
transcript.pyannote[3827].end 29330.01284375
transcript.pyannote[3828].speaker SPEAKER_08
transcript.pyannote[3828].start 29330.21534375
transcript.pyannote[3828].end 29331.76784375
transcript.pyannote[3829].speaker SPEAKER_08
transcript.pyannote[3829].start 29332.20659375
transcript.pyannote[3829].end 29334.50159375
transcript.pyannote[3830].speaker SPEAKER_08
transcript.pyannote[3830].start 29334.82221875
transcript.pyannote[3830].end 29337.26909375
transcript.pyannote[3831].speaker SPEAKER_08
transcript.pyannote[3831].start 29337.57284375
transcript.pyannote[3831].end 29339.61471875
transcript.pyannote[3832].speaker SPEAKER_08
transcript.pyannote[3832].start 29340.01971875
transcript.pyannote[3832].end 29344.82909375
transcript.pyannote[3833].speaker SPEAKER_08
transcript.pyannote[3833].start 29345.31846875
transcript.pyannote[3833].end 29348.35596875
transcript.pyannote[3834].speaker SPEAKER_08
transcript.pyannote[3834].start 29348.96346875
transcript.pyannote[3834].end 29357.36721875
transcript.pyannote[3835].speaker SPEAKER_17
transcript.pyannote[3835].start 29357.13096875
transcript.pyannote[3835].end 29364.38721875
transcript.pyannote[3836].speaker SPEAKER_17
transcript.pyannote[3836].start 29364.80909375
transcript.pyannote[3836].end 29369.68596875
transcript.pyannote[3837].speaker SPEAKER_17
transcript.pyannote[3837].start 29370.24284375
transcript.pyannote[3837].end 29375.45721875
transcript.pyannote[3838].speaker SPEAKER_17
transcript.pyannote[3838].start 29375.92971875
transcript.pyannote[3838].end 29379.52409375
transcript.pyannote[3839].speaker SPEAKER_00
transcript.pyannote[3839].start 29377.24596875
transcript.pyannote[3839].end 29378.39346875
transcript.pyannote[3840].speaker SPEAKER_09
transcript.pyannote[3840].start 29378.39346875
transcript.pyannote[3840].end 29379.27096875
transcript.pyannote[3841].speaker SPEAKER_00
transcript.pyannote[3841].start 29379.27096875
transcript.pyannote[3841].end 29379.45659375
transcript.pyannote[3842].speaker SPEAKER_17
transcript.pyannote[3842].start 29379.77721875
transcript.pyannote[3842].end 29383.21971875
transcript.pyannote[3843].speaker SPEAKER_00
transcript.pyannote[3843].start 29379.94596875
transcript.pyannote[3843].end 29381.02596875
transcript.pyannote[3844].speaker SPEAKER_33
transcript.pyannote[3844].start 29382.07221875
transcript.pyannote[3844].end 29382.34221875
transcript.pyannote[3845].speaker SPEAKER_00
transcript.pyannote[3845].start 29382.34221875
transcript.pyannote[3845].end 29382.44346875
transcript.pyannote[3846].speaker SPEAKER_17
transcript.pyannote[3846].start 29383.84409375
transcript.pyannote[3846].end 29392.93971875
transcript.pyannote[3847].speaker SPEAKER_17
transcript.pyannote[3847].start 29393.56409375
transcript.pyannote[3847].end 29400.39846875
transcript.pyannote[3848].speaker SPEAKER_17
transcript.pyannote[3848].start 29400.78659375
transcript.pyannote[3848].end 29402.22096875
transcript.pyannote[3849].speaker SPEAKER_08
transcript.pyannote[3849].start 29402.79471875
transcript.pyannote[3849].end 29403.79034375
transcript.pyannote[3850].speaker SPEAKER_17
transcript.pyannote[3850].start 29404.61721875
transcript.pyannote[3850].end 29405.35971875
transcript.pyannote[3851].speaker SPEAKER_08
transcript.pyannote[3851].start 29404.78596875
transcript.pyannote[3851].end 29409.39284375
transcript.pyannote[3852].speaker SPEAKER_02
transcript.pyannote[3852].start 29408.73471875
transcript.pyannote[3852].end 29408.78534375
transcript.pyannote[3853].speaker SPEAKER_17
transcript.pyannote[3853].start 29408.78534375
transcript.pyannote[3853].end 29408.80221875
transcript.pyannote[3854].speaker SPEAKER_02
transcript.pyannote[3854].start 29408.80221875
transcript.pyannote[3854].end 29412.34596875
transcript.pyannote[3855].speaker SPEAKER_17
transcript.pyannote[3855].start 29410.40534375
transcript.pyannote[3855].end 29412.71721875
transcript.pyannote[3856].speaker SPEAKER_17
transcript.pyannote[3856].start 29413.66221875
transcript.pyannote[3856].end 29415.60284375
transcript.pyannote[3857].speaker SPEAKER_17
transcript.pyannote[3857].start 29415.85596875
transcript.pyannote[3857].end 29417.64471875
transcript.pyannote[3858].speaker SPEAKER_17
transcript.pyannote[3858].start 29418.20159375
transcript.pyannote[3858].end 29424.37784375
transcript.pyannote[3859].speaker SPEAKER_14
transcript.pyannote[3859].start 29423.82096875
transcript.pyannote[3859].end 29424.36096875
transcript.pyannote[3860].speaker SPEAKER_14
transcript.pyannote[3860].start 29424.37784375
transcript.pyannote[3860].end 29424.54659375
transcript.pyannote[3861].speaker SPEAKER_17
transcript.pyannote[3861].start 29424.54659375
transcript.pyannote[3861].end 29447.71596875
transcript.pyannote[3862].speaker SPEAKER_14
transcript.pyannote[3862].start 29424.56346875
transcript.pyannote[3862].end 29425.20471875
transcript.pyannote[3863].speaker SPEAKER_14
transcript.pyannote[3863].start 29426.25096875
transcript.pyannote[3863].end 29427.85409375
transcript.pyannote[3864].speaker SPEAKER_09
transcript.pyannote[3864].start 29427.85409375
transcript.pyannote[3864].end 29427.97221875
transcript.pyannote[3865].speaker SPEAKER_17
transcript.pyannote[3865].start 29447.88471875
transcript.pyannote[3865].end 29449.87596875
transcript.pyannote[3866].speaker SPEAKER_08
transcript.pyannote[3866].start 29450.80409375
transcript.pyannote[3866].end 29451.85034375
transcript.pyannote[3867].speaker SPEAKER_17
transcript.pyannote[3867].start 29451.20909375
transcript.pyannote[3867].end 29455.10721875
transcript.pyannote[3868].speaker SPEAKER_08
transcript.pyannote[3868].start 29451.96846875
transcript.pyannote[3868].end 29452.64346875
transcript.pyannote[3869].speaker SPEAKER_08
transcript.pyannote[3869].start 29455.20846875
transcript.pyannote[3869].end 29460.33846875
transcript.pyannote[3870].speaker SPEAKER_08
transcript.pyannote[3870].start 29460.65909375
transcript.pyannote[3870].end 29467.18971875
transcript.pyannote[3871].speaker SPEAKER_17
transcript.pyannote[3871].start 29465.45159375
transcript.pyannote[3871].end 29467.07159375
transcript.pyannote[3872].speaker SPEAKER_17
transcript.pyannote[3872].start 29467.69596875
transcript.pyannote[3872].end 29468.30346875
transcript.pyannote[3873].speaker SPEAKER_02
transcript.pyannote[3873].start 29467.78034375
transcript.pyannote[3873].end 29468.33721875
transcript.pyannote[3874].speaker SPEAKER_17
transcript.pyannote[3874].start 29468.33721875
transcript.pyannote[3874].end 29468.43846875
transcript.pyannote[3875].speaker SPEAKER_02
transcript.pyannote[3875].start 29468.43846875
transcript.pyannote[3875].end 29468.50596875
transcript.pyannote[3876].speaker SPEAKER_17
transcript.pyannote[3876].start 29468.50596875
transcript.pyannote[3876].end 29471.84721875
transcript.pyannote[3877].speaker SPEAKER_02
transcript.pyannote[3877].start 29468.55659375
transcript.pyannote[3877].end 29469.40034375
transcript.pyannote[3878].speaker SPEAKER_02
transcript.pyannote[3878].start 29470.12596875
transcript.pyannote[3878].end 29470.78409375
transcript.pyannote[3879].speaker SPEAKER_17
transcript.pyannote[3879].start 29472.23534375
transcript.pyannote[3879].end 29480.04846875
transcript.pyannote[3880].speaker SPEAKER_02
transcript.pyannote[3880].start 29472.72471875
transcript.pyannote[3880].end 29473.83846875
transcript.pyannote[3881].speaker SPEAKER_08
transcript.pyannote[3881].start 29473.83846875
transcript.pyannote[3881].end 29473.97346875
transcript.pyannote[3882].speaker SPEAKER_02
transcript.pyannote[3882].start 29473.97346875
transcript.pyannote[3882].end 29474.36159375
transcript.pyannote[3883].speaker SPEAKER_08
transcript.pyannote[3883].start 29474.36159375
transcript.pyannote[3883].end 29474.46284375
transcript.pyannote[3884].speaker SPEAKER_09
transcript.pyannote[3884].start 29475.35721875
transcript.pyannote[3884].end 29475.37409375
transcript.pyannote[3885].speaker SPEAKER_08
transcript.pyannote[3885].start 29475.37409375
transcript.pyannote[3885].end 29478.27659375
transcript.pyannote[3886].speaker SPEAKER_08
transcript.pyannote[3886].start 29480.25096875
transcript.pyannote[3886].end 29487.77721875
transcript.pyannote[3887].speaker SPEAKER_17
transcript.pyannote[3887].start 29487.08534375
transcript.pyannote[3887].end 29488.85721875
transcript.pyannote[3888].speaker SPEAKER_08
transcript.pyannote[3888].start 29488.23284375
transcript.pyannote[3888].end 29489.90346875
transcript.pyannote[3889].speaker SPEAKER_17
transcript.pyannote[3889].start 29489.48159375
transcript.pyannote[3889].end 29503.75784375
transcript.pyannote[3890].speaker SPEAKER_17
transcript.pyannote[3890].start 29504.31471875
transcript.pyannote[3890].end 29504.41596875
transcript.pyannote[3891].speaker SPEAKER_08
transcript.pyannote[3891].start 29504.41596875
transcript.pyannote[3891].end 29504.48346875
transcript.pyannote[3892].speaker SPEAKER_17
transcript.pyannote[3892].start 29504.48346875
transcript.pyannote[3892].end 29504.50034375
transcript.pyannote[3893].speaker SPEAKER_08
transcript.pyannote[3893].start 29504.50034375
transcript.pyannote[3893].end 29515.90784375
transcript.pyannote[3894].speaker SPEAKER_22
transcript.pyannote[3894].start 29513.03909375
transcript.pyannote[3894].end 29519.18159375
transcript.pyannote[3895].speaker SPEAKER_08
transcript.pyannote[3895].start 29516.56596875
transcript.pyannote[3895].end 29523.95721875
transcript.pyannote[3896].speaker SPEAKER_17
transcript.pyannote[3896].start 29522.86034375
transcript.pyannote[3896].end 29523.41721875
transcript.pyannote[3897].speaker SPEAKER_17
transcript.pyannote[3897].start 29524.21034375
transcript.pyannote[3897].end 29527.80471875
transcript.pyannote[3898].speaker SPEAKER_08
transcript.pyannote[3898].start 29528.61471875
transcript.pyannote[3898].end 29540.17409375
transcript.pyannote[3899].speaker SPEAKER_17
transcript.pyannote[3899].start 29528.68221875
transcript.pyannote[3899].end 29531.95596875
transcript.pyannote[3900].speaker SPEAKER_16
transcript.pyannote[3900].start 29531.95596875
transcript.pyannote[3900].end 29531.97284375
transcript.pyannote[3901].speaker SPEAKER_17
transcript.pyannote[3901].start 29539.63409375
transcript.pyannote[3901].end 29546.60346875
transcript.pyannote[3902].speaker SPEAKER_08
transcript.pyannote[3902].start 29543.39721875
transcript.pyannote[3902].end 29545.30409375
transcript.pyannote[3903].speaker SPEAKER_08
transcript.pyannote[3903].start 29545.60784375
transcript.pyannote[3903].end 29551.14284375
transcript.pyannote[3904].speaker SPEAKER_17
transcript.pyannote[3904].start 29549.75909375
transcript.pyannote[3904].end 29567.89971875
transcript.pyannote[3905].speaker SPEAKER_17
transcript.pyannote[3905].start 29568.79409375
transcript.pyannote[3905].end 29571.79784375
transcript.pyannote[3906].speaker SPEAKER_17
transcript.pyannote[3906].start 29572.05096875
transcript.pyannote[3906].end 29572.86096875
transcript.pyannote[3907].speaker SPEAKER_17
transcript.pyannote[3907].start 29573.29971875
transcript.pyannote[3907].end 29574.22784375
transcript.pyannote[3908].speaker SPEAKER_02
transcript.pyannote[3908].start 29573.97471875
transcript.pyannote[3908].end 29574.98721875
transcript.pyannote[3909].speaker SPEAKER_17
transcript.pyannote[3909].start 29574.56534375
transcript.pyannote[3909].end 29577.94034375
transcript.pyannote[3910].speaker SPEAKER_17
transcript.pyannote[3910].start 29578.64909375
transcript.pyannote[3910].end 29579.98221875
transcript.pyannote[3911].speaker SPEAKER_02
transcript.pyannote[3911].start 29579.98221875
transcript.pyannote[3911].end 29580.03284375
transcript.pyannote[3912].speaker SPEAKER_17
transcript.pyannote[3912].start 29580.03284375
transcript.pyannote[3912].end 29580.04971875
transcript.pyannote[3913].speaker SPEAKER_02
transcript.pyannote[3913].start 29580.04971875
transcript.pyannote[3913].end 29580.97784375
transcript.pyannote[3914].speaker SPEAKER_17
transcript.pyannote[3914].start 29580.97784375
transcript.pyannote[3914].end 29590.52909375
transcript.pyannote[3915].speaker SPEAKER_02
transcript.pyannote[3915].start 29585.50034375
transcript.pyannote[3915].end 29586.17534375
transcript.pyannote[3916].speaker SPEAKER_02
transcript.pyannote[3916].start 29587.39034375
transcript.pyannote[3916].end 29588.53784375
transcript.pyannote[3917].speaker SPEAKER_17
transcript.pyannote[3917].start 29590.56284375
transcript.pyannote[3917].end 29592.38534375
transcript.pyannote[3918].speaker SPEAKER_17
transcript.pyannote[3918].start 29592.70596875
transcript.pyannote[3918].end 29601.90284375
transcript.pyannote[3919].speaker SPEAKER_17
transcript.pyannote[3919].start 29602.25721875
transcript.pyannote[3919].end 29613.20909375
transcript.pyannote[3920].speaker SPEAKER_02
transcript.pyannote[3920].start 29609.68221875
transcript.pyannote[3920].end 29610.17159375
transcript.pyannote[3921].speaker SPEAKER_02
transcript.pyannote[3921].start 29611.52159375
transcript.pyannote[3921].end 29615.38596875
transcript.pyannote[3922].speaker SPEAKER_17
transcript.pyannote[3922].start 29614.82909375
transcript.pyannote[3922].end 29617.63034375
transcript.pyannote[3923].speaker SPEAKER_17
transcript.pyannote[3923].start 29617.93409375
transcript.pyannote[3923].end 29636.58096875
transcript.pyannote[3924].speaker SPEAKER_26
transcript.pyannote[3924].start 29639.24721875
transcript.pyannote[3924].end 29644.09034375
transcript.pyannote[3925].speaker SPEAKER_26
transcript.pyannote[3925].start 29645.55846875
transcript.pyannote[3925].end 29651.93721875
transcript.pyannote[3926].speaker SPEAKER_26
transcript.pyannote[3926].start 29652.74721875
transcript.pyannote[3926].end 29662.04534375
transcript.whisperx[0].start 1755.796
transcript.whisperx[0].end 1769.348
transcript.whisperx[0].text 法院會現在繼續開會對行政院院長施政方針及施政報告繼續質詢在進行質詢之前先請秘書長報告部會首長請假請醒
transcript.whisperx[1].start 1771.226
transcript.whisperx[1].end 1771.486
transcript.whisperx[1].text 報告完畢現在請呂委員育嶺質詢
transcript.whisperx[2].start 1810.504
transcript.whisperx[2].end 1813.587
transcript.whisperx[2].text 謝謝主席,請卓院長及經濟部的貝許議員好早安院長、部長
transcript.whisperx[3].start 1832.318
transcript.whisperx[3].end 1855.374
transcript.whisperx[3].text 美國的關稅從去年延燒到現在最新的消息是說美方寄出了301條款要來審查並且要具體的納入了16個國家台灣也在裡面所以要請教院長跟部長你們知道我方是不是會被美國這個通知有接到通知了嗎那內容是什麼他調查的內容
transcript.whisperx[4].start 1856.271
transcript.whisperx[4].end 1883.077
transcript.whisperx[4].text 好 跟委員說明美方已經對外有說明過包括60個國家包括台灣中華民國台灣在內是要接受301的調查其中應該是兩個主要的調查一個就是有沒有因為產量過剩有一個有沒有因為強迫勞動等等那麼現在調查還沒有開始正式調查還沒有開始所以接到美方的通知了對 我們知道有這個訊息知道了那也知道哪些相關產業會被調查調查的對象
transcript.whisperx[5].start 1886.708
transcript.whisperx[5].end 1900.566
transcript.whisperx[5].text 調查的產業有相當多有電子啦 自行車 汽車零組件啦還有好幾項 這個都在調查範圍當中是 院長 部長本席會之後我們提出來就是因為我們之前有去談了ART
transcript.whisperx[6].start 1901.127
transcript.whisperx[6].end 1914.099
transcript.whisperx[6].text 對不對 ART是一個貿易 台美的貿易協定但是現在他們又寄出了301條款301是屬於貿易法 法律會在上面所以如果這兩項在談的時候那這樣子的話會301條款說了算 對不對因為他現在301關心的一些項目剛剛提到有關於強迫勞動的相關議題
transcript.whisperx[7].start 1924.955
transcript.whisperx[7].end 1943.963
transcript.whisperx[7].text 基本上在ART裡面也有涵蓋這些項目這個部分事實上我們跟美方大概都已經談定了將來可能是所以ART算嗎在ART的項目裡面有涵蓋這些項目所以我們ART談的算不算算啊所以部長
transcript.whisperx[8].start 1946.431
transcript.whisperx[8].end 1972.764
transcript.whisperx[8].text 因為現在他們是說301條款是授權美方可以用高關稅做一個制裁的工具如果可以調查出來說他們貿易逆差或者是我們政府的補助等等的情形如果影響他們的整個貿易逆差的話他們就會用制裁的方式無上限的用高關稅所以這兩個是可以同樣成立ART跟301同樣成立還是301說了算
transcript.whisperx[9].start 1974.432
transcript.whisperx[9].end 1986.266
transcript.whisperx[9].text 所以我們現在跟美方持續的有在聯繫當中我們就就是希望可以在ART的基礎上維持那個ART的結論
transcript.whisperx[10].start 1987.574
transcript.whisperx[10].end 2004.502
transcript.whisperx[10].text 那301還是要調查我們啊調查他不一定會成立或者是會有新的措施不可以用不一定所以產業都非常的緊張擔心他們就成為了調查的對象如果這個貿易有逆差的情形他們就可以用無上限的高關稅
transcript.whisperx[11].start 2005.422
transcript.whisperx[11].end 2031.569
transcript.whisperx[11].text 所以我們盡量爭取維持所以這法律跟這個協定是哪個會在上面如果是二選一的話我剛剛跟委員報告過60個國家他要展開這一波的調查目前調查還沒有正式展開所以我們是準備好當然要準備好用我們簽署的ART的內容其中牽涉到301的部分我們堅持用ART的內容來維護我們最佳的待遇
transcript.whisperx[12].start 2031.929
transcript.whisperx[12].end 2044.878
transcript.whisperx[12].text 院長 部長去年我們在談的時候他們宣布的時候一開始是什麼32%後來是20%到最後的話我們今年的時候我們在談ART的時候他又計數了15%但是現在的話是10% 10加N
transcript.whisperx[13].start 2049.381
transcript.whisperx[13].end 2062.736
transcript.whisperx[13].text 所以現在的話他們一直在談301 301所以我們希望301條款在這邊那你們這麼有信心對ART這麼有信心的話請你們未來我們要談ART的時候一定要把這個
transcript.whisperx[14].start 2065.347
transcript.whisperx[14].end 2083.423
transcript.whisperx[14].text 把我們ART組談定的這個豁免權放到301裡面可不可以當然國會跟整個社會對我們的談判已經初步表示是願意給你支持的話那我們對外力道會更強我們爭取維護國家利益的力道就會更強所以我們談判代表一定要把
transcript.whisperx[15].start 2084.864
transcript.whisperx[15].end 2105.286
transcript.whisperx[15].text 因為有最惠國ART裡面有最惠國最優惠國對不對我們把最優惠國放進去ART這個豁免權裡面我們大家才能夠穩定才能夠放心我們產業才可以繼續充斥也可以緩衝緩和一下對不對那在ART裡面本席也去調閱有看到一個情形
transcript.whisperx[16].start 2106.347
transcript.whisperx[16].end 2122.336
transcript.whisperx[16].text 就是說我們有編列一些預算在這個預算裡面我們希望說我們能夠對於產業的各方面去執行去關心去看看他們的整個調查的情形在我們的任性的特別預算裡面我們編列了
transcript.whisperx[17].start 2125.698
transcript.whisperx[17].end 2137.708
transcript.whisperx[17].text 5447億裡面經費我們經濟部裡面就有460億的經費本部跟四個署但是我看到這個資料裡面我們有除了產發署跟我們中小企業署
transcript.whisperx[18].start 2138.228
transcript.whisperx[18].end 2149.804
transcript.whisperx[18].text 他們有在執行其他的都沒有執行每一個都有執行這資料都是你們給我的那個都有執行他的貿易署他是一年一併核定
transcript.whisperx[19].start 2154.29
transcript.whisperx[19].end 2170.142
transcript.whisperx[19].text 我們編列的預算這個114年我講114年的不是全部的預算就是按時來他三月多的時候他會一次核定核定完以後就是一年所以是每個暑冬期執行執行的期是怎麼樣對都已經在執行而且我們每一個禮拜都在開那個檢討報告
transcript.whisperx[20].start 2172.163
transcript.whisperx[20].end 2189.832
transcript.whisperx[20].text 現在總共大概有申請的案子大概有三四千件的案子進來那我們合訂的已經合訂的是超過大概一千七百多件已經在執行每一個署都通通在執行所以這四個署都是必要的不是產發就是商發所以還是貿易署這些都很重要我們PLS預算有一項
transcript.whisperx[21].start 2193.274
transcript.whisperx[21].end 2217.264
transcript.whisperx[21].text 本席要提出來就是我們貿易所編列6850萬特別有在114年已經預算給你們的有1350萬希望說我們要研究美國經貿動向對我國的影響盡量持續的跟美國智庫這邊討論跟溝通這是114年都沒有在執行這個他是要招標的現在在招標 預算是114年
transcript.whisperx[22].start 2219.572
transcript.whisperx[22].end 2241.371
transcript.whisperx[22].text 每一年都有這個預算所以動作太慢了你們慢半拍產業就需要我們政府的支持你們慢半拍我們怎麼樣救產業怎麼樣挺產業呢那個產業的部分就是廠商的部分那個都已經在執行但是因為跟智庫合作的部分可能還要招標的程序好 趕快做產業希望我們政府去支持他
transcript.whisperx[23].start 2242.452
transcript.whisperx[23].end 2260.064
transcript.whisperx[23].text 政府沒有在做我們桃園都在做我這張圖表給大家看一下我們桃園做的我們深度在我們本地的40個企業裡面去深度訪談我們通過知道這個產業他們需要的什麼尤其針對於他們的外部壓力跟我們內部的衝擊跟未來因應的整個策略
transcript.whisperx[24].start 2261.205
transcript.whisperx[24].end 2274.673
transcript.whisperx[24].text 這了解之後的話我們再配合我們的任性的特別預算去支持產業產業才能穩定的發展所以部長加快腳步好不好關心了解產業尤其是我們這個高關稅變來變成到現在的石家恩
transcript.whisperx[25].start 2278.174
transcript.whisperx[25].end 2296.46
transcript.whisperx[25].text 產業競爭力輔導團也一直在執行當中那趕快做我們支持產業那剛剛特別有提到就是說在這個ART裡面有提到一個整車進口關稅未來會調降到零關稅我們國產汽車的衝擊我們有沒有評估出來對我們產業的影響是在哪裡
transcript.whisperx[26].start 2300.874
transcript.whisperx[26].end 2322.757
transcript.whisperx[26].text 有就是評估起來的話一些相關的產業的話當然這個是用模型推估的整車的部分那一般估計起來可能會影響到大概40億台幣左右所以我們也編列了大概30億匡列出來準備因為現在還沒開始實施部長本席要提醒你一件事情
transcript.whisperx[27].start 2323.337
transcript.whisperx[27].end 2344.439
transcript.whisperx[27].text 你知道我們整個整車的有6家整車廠2700餘家的零組件到維修廠的整個產業鏈是非常完整他們整個產業可以造出7000億的產值你用30億去支撐7000億你看看這支撐的力道夠不夠呢
transcript.whisperx[28].start 2345.607
transcript.whisperx[28].end 2364.293
transcript.whisperx[28].text 我們評估過啦因為比如說零組件您剛才提到零組件公司的話他不僅是幫整車廠來做之外他還可以出口那事實上我們去美國出口來講的話是最優惠的是15%是在232裡面是比其他的國家25都還要來的低這是我們
transcript.whisperx[29].start 2365.507
transcript.whisperx[29].end 2379.98
transcript.whisperx[29].text 談到了這個優惠的關稅出來部長 院長現在產業有具體的建議因為你未來你這個降到零關稅大概在三年來執行逐漸下降對不對那產業界有個建議就是說我們的貨物稅
transcript.whisperx[30].start 2381.181
transcript.whisperx[30].end 2406.868
transcript.whisperx[30].text 可不可以比例式的下降我們貨物稅大概15%到30%貨物稅已經先調了先降了我們去研究也一樣要調降給予國產車世界各國對於國產車都有在保障不要說保障說支持所以我們也對我們的國產車要去支持讓他們有這個競爭力可以緩和他們的衝擊可不可以我們貨物稅已經先調降了但是它不能內外有別不過
transcript.whisperx[31].start 2407.668
transcript.whisperx[31].end 2414.173
transcript.whisperx[31].text 因為我們雇用稅是用定額所以我們用5加2的方式是定額的 定額減少定額減少對於低價車 平價車來講比較有優勢因為你高價車跟低價車減的稅是一樣的所以我說是比例的你們去研究怎麼樣比例的要不然我們民眾說我們台灣只有一個制度去保護我們國產車
transcript.whisperx[32].start 2434.269
transcript.whisperx[32].end 2454.368
transcript.whisperx[32].text 就是高關稅所以民眾就要用很高的價格去買車子所以這個跟同樣的比例我提到是比例我沒有說全部好不好所以這塊請你們去研議給我們的整車的股產車大家有信心一點第一個進口降關稅有利於消費者
transcript.whisperx[33].start 2455.109
transcript.whisperx[33].end 2473.934
transcript.whisperx[33].text 但對於產業我們已經提出了30億的車型天下的這樣的計畫那對於國內汽車的售價我們在去年嘛去年就降了這個貨物稅那麼再加上他的太久換薪等等一部車可以降到10萬元本席提的是因為我們三年會逐漸把17.5%的
transcript.whisperx[34].start 2476.214
transcript.whisperx[34].end 2501.544
transcript.whisperx[34].text 進口關稅逐年歸零所以我們的貨物稅在保護我們國產車你也可以想出別的方法有產業是說在貨物稅就可以調價比例性的調價請你們去研議好不好給他們有信心政府非常關心挺我們的產業我們持續關注所有的變化再來進行必要的檢討一定要注意這個貨物稅因為我們貨物稅也是蠻高的15到30%
transcript.whisperx[35].start 2503.812
transcript.whisperx[35].end 2527.346
transcript.whisperx[35].text 接下來本席希望說我們對於我們目前營銷的關稅問題我們要去看各產業需要幫忙的我們要快速的去幫忙接下來本席要提的就是這個我講的因為你們已經公告要去執行了就是我們廚餘養豬全面轉型黑毛豬的產業前途茫茫
transcript.whisperx[36].start 2528.598
transcript.whisperx[36].end 2555.03
transcript.whisperx[36].text 本席為什麼要這麼說我們的農業部陳部長我們在委員會已經討論很久了公布了要全面廚餘要禁用廚餘去養豬但是為什麼會用廚餘養豬大部分都是養黑毛豬養黑毛豬的地點大概在屏東跟桃園尤其我們為什麼要用廚餘養豬的情形部長你也在這邊 院長
transcript.whisperx[37].start 2556.411
transcript.whisperx[37].end 2576.945
transcript.whisperx[37].text 我跟你報告因為成本問題黑毛豬牠們的飼養期是12個月到15個月比白豬多了一倍的時間白豬可能6個月就可以了所以成本這麼高所以除以也是他們是減低他們成本的問題
transcript.whisperx[38].start 2578.84
transcript.whisperx[38].end 2595.064
transcript.whisperx[38].text 最重要還有因為廚餘他們會弄熱來吃黑豬吃了熱的廚餘之後的話他們會比較肥長得比較快長得比較大而且口感品質也會比較好這個前身我一定要讓院長你了解為什麼養黑豬的養豬戶這麼
transcript.whisperx[39].start 2599.825
transcript.whisperx[39].end 2627.134
transcript.whisperx[39].text 緊張未來他們是不是自生自滅未來生計在哪裡所以一再要本席再次再次的跟我們院長跟部長再來提出來那現在我們農業部也聽到我們的反應了也很努力那我們的蓄產所也研發出了五種的飼料這個飼料給黑毛豬吃的這個飼料給他們可以來用那很多的補助飼料的補助是到今年年底
transcript.whisperx[40].start 2628.73
transcript.whisperx[40].end 2655.893
transcript.whisperx[40].text 飼料補助是不是不漲是不是到今年年底所以本席在第一個請求的是我們轉型的補助是到今年年底對對今年年底那本席的意思是說可不可以因為黑毛豬的飼養期剛剛提到12到15個月白豬是6個月這個所以他們的飼料的補助可不可以用常態性請去研究不要在這邊拒絕我可以嗎可以嗎
transcript.whisperx[41].start 2656.884
transcript.whisperx[41].end 2673.854
transcript.whisperx[41].text 我想基本上我們到年底的話是轉型的一個協助而不是飼料補助飼料補助純粹因為非洲豬的飼料補助已經是到去年的12月底就結束了所以從今年開始都是在轉型的相關的這些補助
transcript.whisperx[42].start 2674.901
transcript.whisperx[42].end 2702.026
transcript.whisperx[42].text 今年為什麼會是還有一年就是因為家戶的廚餘是去年就全面禁止了今年還有四月的廚餘緩衝這一年那所有要用廚餘養豬的人他們要做什麼事情他們要裝GPS的車子去載運他們要有監視器去監視他們真主的狀況都做了花了這麼多錢就這一年為了這一年要養豬要廚餘養豬所以他們做了
transcript.whisperx[43].start 2702.526
transcript.whisperx[43].end 2718.38
transcript.whisperx[43].text 但是今年年底之後所有設備都要拆除部長 本期再提醒你廢料 植物性的廢料是可以飼養的 豬的對不對植物性的廢料還是要珍珠啊
transcript.whisperx[44].start 2719.856
transcript.whisperx[44].end 2733.817
transcript.whisperx[44].text 還是要蒸煮那為什麼要把這些所有的設備拆除掉呢你可以給它去蒸煮嘛剛剛前提 粉絲也提到了要煮熱你植物性的肥料可以用它如果去煮熱高溫殺菌不是更好嗎
transcript.whisperx[45].start 2735.4
transcript.whisperx[45].end 2756.156
transcript.whisperx[45].text 讓豬的腸胃會更好嗎我跟委員報告現在植物性的廢料跟禽類的下腳料的部分我們會輔導轉型成一個有規格有品規的一個循環再利用的一個飼料它不是像過去就是蒸煮完了以後就出來我知道 我是說這個機器設備不要叫他們強迫拆煮沒有
transcript.whisperx[46].start 2756.556
transcript.whisperx[46].end 2774.136
transcript.whisperx[46].text 基本上在個別的養豬戶就是要拆除因為個別的養豬戶從過去的經驗你只要讓牠珍珠長在那邊的時候牠就有可能...部長你有沒有去看看養豬戶為什麼這麼堅持牠要這個珍珠我另外...未來我們會跟日本學習日本的
transcript.whisperx[47].start 2775.117
transcript.whisperx[47].end 2799.482
transcript.whisperx[47].text 那個除以飼料化除以飼料化之後以後跟那個廢料那個植物廢料的話廢紮的話去整個去蒸煮還是要蒸煮啊攪拌還是要蒸煮所以剛剛強調熱食熱食所以請研議部長你不要再拒絕了我們委員會討論過了我現在是請問院長本席都提出來看看整個過程你都聽到了可不可以去研議
transcript.whisperx[48].start 2800.522
transcript.whisperx[48].end 2818.678
transcript.whisperx[48].text 給他們不用去拆除他的設備他們有監視器喔有監視器看他們使用的情形喔未來的植物廢紮或者是我們仿效日本的這個飼魚飼料化成為這個塊狀化也是要去攪拌去蒸煮它才會融化的
transcript.whisperx[49].start 2819.258
transcript.whisperx[49].end 2839.189
transcript.whisperx[49].text 所以請我們再去研議好不好我們用一年的時間跟業者來商討一年內來處於禁用我知道你們要不要轉型大家討論出來這也是一個趨勢產業養豬戶已經提出來了所以我們現在可以補助的盡量補助可以輔導的就全面輔導希望在明年就可以轉換成把這個
transcript.whisperx[50].start 2840.851
transcript.whisperx[50].end 2857.912
transcript.whisperx[50].text 這個共同珍珠中心總貫成這個肥料的再利用循環利用的飼料中心所以這個就是我們的政策那現在 政策我知道你要保護萬一那個非收施婚再發生啦屏東的養殊場轉型得不錯台中跟桃園我們會全力再下去輔導
transcript.whisperx[51].start 2858.513
transcript.whisperx[51].end 2885.44
transcript.whisperx[51].text 我跟委員報告現在435場的廚藝養豬戶有將近一半的養豬的頭數是已經轉型了特別是彰化以南的幾乎都是用植物性的料圓跟禽類下甲料所以我想我們會針對桃園地區我們會更加力道去輔導他讓他的原來的使用的植物的部分用場外的這些工具你要講數據我先講一下你聽我講
transcript.whisperx[52].start 2886.539
transcript.whisperx[52].end 2912.999
transcript.whisperx[52].text 全國有435家的取得廚餘再利用的許可養豬場有192家已經申請了轉型為飼料的養豬另外243家則是安裝了真主設備的監控系統他們在廚餘也有安裝GPS在兩大前提之下他可以緩衝在今年可以繼續用廚餘來養豬所以
transcript.whisperx[53].start 2915.08
transcript.whisperx[53].end 2929.879
transcript.whisperx[53].text 部長我剛剛前提講的你們都沒有用心去了解他今年裝下這些設備就是為了會繼續可以給豬吃熱食所以有監視器GPS所以請你們可以去研議好不好
transcript.whisperx[54].start 2930.834
transcript.whisperx[54].end 2954.779
transcript.whisperx[54].text 我再提 棄言語 不要在這邊拒絕這是養豬戶提出來的不要讓我們養豬戶的產業無法永續經營黑毛豬是我們台灣本土的產業希望他們能夠繼續的生存他們生計的問題我跟委員報告我們一定會盡全力的協助我們的養豬戶來做轉型那轉型過程中一定會跟養豬戶找到一個最好的一個方法
transcript.whisperx[55].start 2955.558
transcript.whisperx[55].end 2972.46
transcript.whisperx[55].text 好 請研議最好的方法希望養生戶他們能夠度過這個轉型期好不好 這轉型期你們就繼續關心怎麼樣再去輔導政府跟業者要共同來協助那既然你們要輔導他們 這最關鍵今年是轉型期 現在是三月底了
transcript.whisperx[56].start 2972.961
transcript.whisperx[56].end 2996.001
transcript.whisperx[56].text 你們說要參照日本廚藝飼料化的經驗讓我們的黑朝向堆肥化、能源化跟飼料轉型所以日本的廚藝就有分類回收瀝乾再粉碎再做乾燥去除了雜質等四項工程把廚藝加工之後的話成為塊狀作為飼料這些設備請問
transcript.whisperx[57].start 3000.385
transcript.whisperx[57].end 3029.344
transcript.whisperx[57].text 做了嗎規劃了嗎什麼時候做好我跟委員報告現在目前全台灣的原來的共同政府中心只有一家是在苗栗的全順那現在目前有九家在做申請那在申請原來是希望變成共同政府中心那現在我們立我們現在正在跟他們在談是不是可以轉型為循環飼料的一個工廠就是類似日本的eco feed的部分那裡面的相關的設備跟設施如果他們願意做的話政府會來協助
transcript.whisperx[58].start 3030.986
transcript.whisperx[58].end 3047.222
transcript.whisperx[58].text 來做共同的限制設備有了有了嗎什麼時候開始執行去做沒有我們現在正在跟他們在談就是剛才說的那個短中長期的計畫做出來啊什麼時候可以提供第一線黑豬的養豬戶可以使用
transcript.whisperx[59].start 3049.815
transcript.whisperx[59].end 3076.749
transcript.whisperx[59].text 我跟委員報告我們在苗栗的全順的部分我們會優先來做輔導我們的目標是大概在七八月的時候就能夠有真正的循環再利用飼料去來提供那現在的部分是透過我們敘事所的飼料配方的改良讓養豬的期間不需要到一年半可能可以在大概一年到九個月的時間能夠縮短甚至於豬的品系我們也會去做改良所以
transcript.whisperx[60].start 3077.782
transcript.whisperx[60].end 3085.231
transcript.whisperx[60].text 部長今年緩衝期明年全面禁止用廚餘你現在要仿效日本的飼料廚餘化
transcript.whisperx[61].start 3086.86
transcript.whisperx[61].end 3113.409
transcript.whisperx[61].text 我一直問你什麼時候可以給黑豬養豬戶使用你明天全面要禁止了啊你現在就要提供出來啊我跟委員報告黑豬不是只吃你沒有期限的話養豬戶怎麼去使用呢土黑豬不是只有吃這個循環在利用的飼料它一般的飼料或者飼料配方改良的配方都可以當作飼料所以它只是多一種選擇趕快做我們已經在努力在協助業者一起來做
transcript.whisperx[62].start 3113.829
transcript.whisperx[62].end 3135.803
transcript.whisperx[62].text 所以這都有規劃一家夠嗎一家工廠夠嗎一家是不夠的我們希望還有其他的包括屏東地區苗栗的地區然後我們也在跟桃園市政府合作是在桃園市那邊是不是有相關的這些原來的環保公司他可以來做這樣子的一個工廠這個我們一直積極在處理本席在這邊為什麼說要你趕快加強來處理做因為
transcript.whisperx[63].start 3140.339
transcript.whisperx[63].end 3161.027
transcript.whisperx[63].text 你現在都是事業廚餘才有大量的家庭廚餘呢家戶的廚餘呢你叫我們瀝乾之後就丟到垃圾裡面去到時候到焚化爐燒焚化爐很容易出問題的這都要分類啊可是做落實分類又有點困難因為已經瀝乾了所以這些必須趕快把廚餘飼料化才能解決廚餘的問題也可以讓廚餘做循環經濟
transcript.whisperx[64].start 3164.028
transcript.whisperx[64].end 3170.138
transcript.whisperx[64].text 好不好謝謝委員的關心我想我們會努力好謝謝部長接下來本席要請教的就是觀光產業來
transcript.whisperx[65].start 3178.476
transcript.whisperx[65].end 3197.371
transcript.whisperx[65].text 因為現在疫情之後我們的觀光產業真的是非常非常的低迷據我們觀光署的資料裡面說2025年我們出國的人有1894萬人創了歷史新高但相反的來台灣的觀光人只有857萬人
transcript.whisperx[66].start 3199.773
transcript.whisperx[66].end 3213.342
transcript.whisperx[66].text 那這整個逆差將近有1037萬人如果說我們用人均的消費來看的話出國的消費我們抓到大概4萬塊他們大概創造光光的產值是3437億然後到台灣的
transcript.whisperx[67].start 3216.344
transcript.whisperx[67].end 3242.041
transcript.whisperx[67].text 來消費的話我們抓五萬五千的話他們消費大概是出國的人消費五萬五千的話他大概是一兆零五百億這樣子的觀光逆差的話大概就七千億所以我們的因應措施是什麼尤其是我們賴清德總統特別提到觀光國家隊那你們對於人才對產業對商品項目你們輔導的情形如何
transcript.whisperx[68].start 3243.26
transcript.whisperx[68].end 3271.603
transcript.whisperx[68].text 先講現況先跟委員報告您所關心的這個觀光的議題其實台灣的觀光逆差從民國78年就開始到現在差不多37年的時間到38年的時間那因為台灣是一個外貿型的國家所以其實大家出國的頻繁的次數相當的高那另外台灣的經濟的狀況成長的快速的時候出國的人數也會增加我們有看過這30幾年來的這個比例看起來是只要經濟狀況好那出國的人數就會多
transcript.whisperx[69].start 3271.963
transcript.whisperx[69].end 3293.295
transcript.whisperx[69].text 那跟委員報告確實我們這幾年的觀光人數連續三年到四年之間我們其實都是很穩定的在成長前年成長了一百多萬人我說的是國外來到台灣的旅客那去年成長了差不多八九十萬人也是不少那我們希望每一年都能夠穩步的成長不過有一個好的現象是所以部長
transcript.whisperx[70].start 3293.975
transcript.whisperx[70].end 3313.725
transcript.whisperx[70].text 國人愛出國啦那國外的觀光客又不進來這種情形我們要了解要找出關鍵的原因關鍵的原因是什麼你可以找出來是不是我們的觀光景點不夠有特色或是我們的觀光景點的特別的地方又非常重複性很高這些也是個問題
transcript.whisperx[71].start 3314.786
transcript.whisperx[71].end 3330.028
transcript.whisperx[71].text 這個都往去突破了包括文化 人文底蘊這些或有深度旅遊的部分你們都要去創造出來要有所改變特色是很重要的深度旅遊也是我們目前正在推廣的希望把那個遊程更有深度化
transcript.whisperx[72].start 3331.93
transcript.whisperx[72].end 3343.534
transcript.whisperx[72].text 幾項具體的工作跟委員報告我們今年一整年的中央政府總預算當中要實現我們的市政計畫就是發展觀光推升觀光我們要發展會展經濟國際會議經濟國際體育賽事跟演唱會另外我們在北回之巔
transcript.whisperx[73].start 3349.076
transcript.whisperx[73].end 3374.533
transcript.whisperx[73].text 南部的北回之巔以及微笑南彎我們都有具體的計畫我們現在全力搶修花蓮太魯閣讓它成為再度能夠引起觀光話題的一個地方接著呢阿里山還有鐵道文化另外我們也注重文化的觀光包括你們這個桃園鄧宇賢的紀念館中照鎮的文學生活館等等文化把它放進來好 都有在做但是
transcript.whisperx[74].start 3375.794
transcript.whisperx[74].end 3392.067
transcript.whisperx[74].text 加強我們不管怎麼做就是讓觀光客進來啦好不好因為台灣人又愛出國但原因關鍵的你們沒有發現到一個問題這是產業跟我講的還有所有民眾的反應最有感覺的反應就是住宿費住宿費太高了
transcript.whisperx[75].start 3392.858
transcript.whisperx[75].end 3411.685
transcript.whisperx[75].text 你看從疫情到現在我們的住宿費調高了將近百分之二十這部分的話我們也知道你們努力鼓勵國人平日去旅遊會補助一千、兩千雖然說還沒公告但你們還是要趕快去推動但是
transcript.whisperx[76].start 3413.145
transcript.whisperx[76].end 3430.438
transcript.whisperx[76].text 這個會不會變相又讓旅遊那個住旅宿業的人他有沒有變相的加價這些都要去關心那我們最重要是希望說我們政府對於這個旅宿業的部分要給他們做一個評定有一個審核要給他一個標準為什麼這麼說呢因為我們知道說他們要給觀光局
transcript.whisperx[77].start 3435.342
transcript.whisperx[77].end 3452.714
transcript.whisperx[77].text 給他們公安署給他們備查他們這個制定住房費的標準嘛普通房跟我們高級房或者是房間的這個住宿標準的價格你們有是備查制備查制的管理方面是比較沒有比較權利性的去控管
transcript.whisperx[78].start 3453.314
transcript.whisperx[78].end 3477.012
transcript.whisperx[78].text 所以他們會在假日就像你們剛剛院長講的有活動的時候或者是有假日的時候就會把原來是五千塊的住宿費變成一萬塊兩萬塊有這種情形反而你不能去約束他因為他只是備查而已這方面你們有沒有要做一個修正或者做研議對這個方面去加強管理讓我們旅宿業的住宿費價格能夠有個標準性的審核
transcript.whisperx[79].start 3477.87
transcript.whisperx[79].end 3496.43
transcript.whisperx[79].text 像委員報告確實我們在疫情的時候房價非常便宜那是因為疫情的需求比較低那這幾年確實他們有開始調回來所以大家感受上會比較高那去年整體的房價的成長的比例是只有0.8%左右那所以其實成長的比例並不高那我們現在也正在努力
transcript.whisperx[80].start 3497.09
transcript.whisperx[80].end 3526.29
transcript.whisperx[80].text 協助業者把這個成本盡量降低包含人力的部分包含其他的成本我們盡量協助他降低看房價能不能降低那另外我們有請觀光署有成立一個平價的旅宿的專業在網路上面我們整體2000家有優惠的旅宿那另外還有一些平價的旅宿我們提供給一般的旅客如果你想要最便宜的你講得這樣子表示你有用心去深度了解這些觀光的困難最重要住宿房間費太貴了好 謝謝你 加強努力 好不好
transcript.whisperx[81].start 3526.69
transcript.whisperx[81].end 3553.341
transcript.whisperx[81].text 好 接下來請回接下來我想問國防部院長 是君愛民 民進軍國防有任何需要在地方有什麼配合要演習的民眾都非常的配合那因為在我的地方龍潭的林雲崗這個靶場噪音非常大
transcript.whisperx[82].start 3555.3
transcript.whisperx[82].end 3579.05
transcript.whisperx[82].text 這個問題我們一直都有反應但是反應的話就沒有下文所以今天才會在這邊跟院長來報告也請部長來關心因為這個打靶場非常吵以前民眾都忍耐忍耐那我這個打靶場比較特別離這個靶場非常的近所以他們一直反應沒有辦法後來我們去現場會刊的時候又找我們那個
transcript.whisperx[83].start 3580.911
transcript.whisperx[83].end 3595.552
transcript.whisperx[83].text 六軍團的參謀長還有我們的司令部都有到現場我們只在門口外就聽到靶場聲音非常非常的大所以我們也要求他們做一些隔音設備那預算都有編下去也都在做但是我們現在是說
transcript.whisperx[84].start 3597.134
transcript.whisperx[84].end 3617.85
transcript.whisperx[84].text 民眾很細心有去規劃去了解他每天打靶一年365天打靶時間超過200天從早上8點到晚上的9點院長你可以想像就是整天在你家裡門口放鞭炮一樣這麼大聲但是我們就需要說要怎麼去管理就是我們最重要有一個法規面就是我們可以把
transcript.whisperx[85].start 3619.391
transcript.whisperx[85].end 3632.146
transcript.whisperx[85].text 這個木鱗廢我們變木鱗廢的話他可以給他比較接近的人可以裝氣密窗喔但是這木鱗廢裡面我一把這個清兵器的這個木鱗廢給排除在外
transcript.whisperx[86].start 3665.485
transcript.whisperx[86].end 3672.988
transcript.whisperx[86].text 請部長書面再回給李委員好不好
transcript.whisperx[87].start 3683.915
transcript.whisperx[87].end 3691.164
transcript.whisperx[87].text 好 謝謝好 謝謝李委員 謝謝左院長下一位請林楚英委員質詢
transcript.whisperx[88].start 3712.622
transcript.whisperx[88].end 3716.166
transcript.whisperx[88].text 謝謝主席 主席有請卓永泰卓院長請卓院長備詢林委員好
transcript.whisperx[89].start 3729.461
transcript.whisperx[89].end 3746.586
transcript.whisperx[89].text 在這個詢答開始之前呢首先我要先在你面前也肯定昨天在內政委員會當中劉世芳部長在委員會當中的表現他完全就展現了行政團隊守法合法依法行政的表現
transcript.whisperx[90].start 3747.446
transcript.whisperx[90].end 3761.108
transcript.whisperx[90].text 李貞秀女士她的資格不是透過立法院的協商說她能當立委就當立委那如果是這樣的話台灣還需要選舉嗎台灣所有的立法委員通通只要藍白合一覺得OK就好
transcript.whisperx[91].start 3762.595
transcript.whisperx[91].end 3783.563
transcript.whisperx[91].text 韓國瑜院長想要用朝野協商的方式來放水但是我肯定行政團隊對於雙重國籍有質疑的人必須要在此之前排除他成為立法委員這樣一個部分所以我予以肯定但是我現在比較擔心的是上個星期五我們在這裡
transcript.whisperx[92].start 3785.023
transcript.whisperx[92].end 3800.728
transcript.whisperx[92].text 的中選會人士的投票當中發生了就是民進黨所提名的完全被在野黨封殺我非常擔心這個過程其實是一個幫李貞秀女士洗白的一個詐騙集團的行為為什麼我會這樣講呢
transcript.whisperx[93].start 3804.309
transcript.whisperx[93].end 3826.578
transcript.whisperx[93].text 我們看到的是其實我相信行政團隊包括之前張東海秘書長也曾經為了中選會的人士去進行拜會當時不論是國民黨又或者是民眾黨都肯定這一次的提名我是來自於媒體這個有畫面有真相我就剪輯了一下當時
transcript.whisperx[94].start 3828.855
transcript.whisperx[94].end 3837.547
transcript.whisperx[94].text 張端涵秘書長到黨其他在野黨黨團拜會的畫面來讓大家看一下也讓院長來回憶一下
transcript.whisperx[95].start 3843.531
transcript.whisperx[95].end 3856.42
transcript.whisperx[95].text 這次中選會的委員被提名人在立法院是佟玉全我希望這是一個朝野合作的開始幾位委員被提名的請到立法院國民黨台上把我們親自表達歡迎
transcript.whisperx[96].start 3861.544
transcript.whisperx[96].end 3867.748
transcript.whisperx[96].text 中選會的提名人選是不是一個好的範疇?我們NCC委員的提名比照中選會的模式,你覺得會不會比較有機會?
transcript.whisperx[97].start 3893.442
transcript.whisperx[97].end 3921.035
transcript.whisperx[97].text 我想這個結果跟這個結局完全是出乎意料之外的看到了藍白的真面目這是我手上整理的一疊資料包括剛剛院長你也看到了傅寬琦說這是朝野合作的開始羅志強予以肯定這是好的開始民眾黨的黃國昌前立委也說公事公辦理性負責態度來審查甚至於陳青龍都說要求NCC人士要比較中選會人士
transcript.whisperx[98].start 3921.815
transcript.whisperx[98].end 3938
transcript.whisperx[98].text 我就問院長這不就是一個詐騙集團前面先跟你講好話後面呢完全推翻過去自己的講法全面的封殺否決了民進黨的提案人媒體適用說這可能是朝野
transcript.whisperx[99].start 3938.88
transcript.whisperx[99].end 3965.441
transcript.whisperx[99].text 合作互信的崩壞但是我要點出來的問題這是未來當李貞秀李女士這種不具資格沒有能力連質詢都還要黨團助理在旁邊咬耳朵的傀儡就馬上透過中選會來洗白嗎所以中選會成為李貞秀洗白組織嗎因為你看到的是民眾黨提名的通過國民黨的提名通過
transcript.whisperx[100].start 3966.602
transcript.whisperx[100].end 3996.342
transcript.whisperx[100].text 所以中選會成為白藍機關嗎未來我們在乎的包括有爭議的法案不再急投票公投綁大選這個白藍機關是不是也要一一來洗白所以院長你怎麼來看接下來他們是不是用一個詐騙的方式透過民主的方式不斷的傷害台灣的民主謝謝委員這件事是我現在心中極大極大的遺憾我必須在這裡跟委員跟所有的國人說明清楚
transcript.whisperx[101].start 3997.475
transcript.whisperx[101].end 4019.707
transcript.whisperx[101].text 去年九月我主動向韓院長表達中選會的提名是不是採用政黨推薦的方式韓院長當時也非常的允諾也允諾要協助但是在九月初我再次跟他提起第二次的時候韓院長跟我說國民黨正值黨主席的改選
transcript.whisperx[102].start 4021.288
transcript.whisperx[102].end 4049.533
transcript.whisperx[102].text 他們的討論希望改選之後再來討論這個事情我記得黨主席的改選應該是10月18號左右吧我跟韓院長說好這個事情提名我已經慢了我已經向國會表達歉意但現在到10月18號還會演我已認了有任何的責難我都認了我都不會講出這一段但10月18號以後我們希望能夠用政黨比例政黨推薦的方式
transcript.whisperx[103].start 4050.337
transcript.whisperx[103].end 4074.557
transcript.whisperx[103].text 來組成這個被推薦人的名單韓院長也說好所以我在10月28號行政院正式函文給三個黨團有中國國民黨民主進步黨以及台灣民眾黨希望他們能夠依照所有的規定表格來推薦優秀事任的人選10月28號正式的函給三個黨團
transcript.whisperx[104].start 4077.179
transcript.whisperx[104].end 4102.79
transcript.whisperx[104].text 中國國民黨跟台灣民眾黨在11月4號也分別回韓特別推薦了不同的人選也回來了所以我們隨後就整理所有的人選包括跟民主進步黨黨團談所的人選就一併送出幾個人選上個禮拜二就在後面的小房間我特別再跟韓連長講一次
transcript.whisperx[105].start 4104.196
transcript.whisperx[105].end 4114.146
transcript.whisperx[105].text 這個名單是三個黨團推薦全部送出來的我希望能夠全部的通過讓中選會正常運作上個禮拜五表決之前當下我再度電話跟韓院長表達
transcript.whisperx[106].start 4122.625
transcript.whisperx[106].end 4145.717
transcript.whisperx[106].text 我聽到媒體的報導說國民黨只要通過幾位對民進對行政院提出的幾個人選要不予同意我說這樣做下來我無法交代我會變成罪人可是事實變成如此把一個獨立機關變成只有中國國民黨推薦的跟台灣民進黨推薦的以及
transcript.whisperx[107].start 4146.806
transcript.whisperx[107].end 4157.899
transcript.whisperx[107].text 民主進步黨行政院提出的四個人選當中只挑一個他們能夠接受的讓其他三個全部落選談何誠信如何合作這種事情發生在國會殿堂裡面是對國會極大的侮辱
transcript.whisperx[108].start 4166.414
transcript.whisperx[108].end 4184.475
transcript.whisperx[108].text 但現在事實已成如此如果讓它形成加上原來的市會八位現在的委員們其中有一半是藍白推薦把獨立機關變成藍白機關而且違背當初所有的承諾
transcript.whisperx[109].start 4186.394
transcript.whisperx[109].end 4202.983
transcript.whisperx[109].text NCC投票之後我也非常的生氣 但是沒有看奈何後來委員都跟我說 如果你知道中選會就不會 NCC都不過了結果中選會還是不過現在又在談 希望總統府監察委員也要這樣做還要上當嗎 還能上當嗎 還要繼續上當嗎
transcript.whisperx[110].start 4208.916
transcript.whisperx[110].end 4234.712
transcript.whisperx[110].text 好 所以院長其實本席也希望透過今天的質詢我們把整體的事件做一個還原但是確實接下來政治講求的是誠信如果說今天跟在野黨無法再做誠信的朝野合作的時候其實整個國家只是無法解決問題而所有面對的狀況只會民主崩壞
transcript.whisperx[111].start 4235.612
transcript.whisperx[111].end 4262.171
transcript.whisperx[111].text 所以包括現在他們可能透過可以開會的中選會包括我們擔憂的不在即投票又或者是公投綁大選等等這種影響到台灣民主制度的部分現在只能靠行政團隊要依法行政那麼這個部分確實會影響到台灣的民主政治我要表達兩點張東華秘書長帶著所有的被提名人到各黨團去拜訪的時候
transcript.whisperx[112].start 4263.055
transcript.whisperx[112].end 4285.955
transcript.whisperx[112].text 以及私下任何的電話的聯繫都對我們的提名名單表示極大的肯定到時候結果是如此這變成用一種話術來告訴我們提了中國國民黨跟台灣民眾黨要的人提出來之後只同意這些而且第二點我們在接受這些推薦名單的時候
transcript.whisperx[113].start 4287.048
transcript.whisperx[113].end 4308.322
transcript.whisperx[113].text 中國國民黨跟台灣民主黨推薦的人行政院沒有去問他們任何的政治立場沒有問他們任何的政治表態就因為是兩個黨人推薦我們就其中把他送出來結果在審查的時候我聽到的我看到的是用這幾個委員並不支持不在即投票的理由就把他刷掉
transcript.whisperx[114].start 4310.787
transcript.whisperx[114].end 4332.291
transcript.whisperx[114].text 這還能讓中選會成為一個獨立的機關嗎這是政治凌駕獨立機關以前在這裡批評行政院的事情今天立法院藍白黨團全部照幹所以面對這樣的一個已經看似存在選舉公正性存疑的這樣的一個獨立機關本席就像我開場講的我擔憂的是中選會成為
transcript.whisperx[115].start 4336.67
transcript.whisperx[115].end 4363.629
transcript.whisperx[115].text 李貞秀女士的洗白機關更成為爭議法案的洗白機關那麼這就是一個白藍機關那麼對於整體的國家民主的發展會造成非常大的疑慮我點出來也希望接下來行政院我要再向韓院長 江副院長表達一次行政院會再送一次三個人的名單被落選的三個人我們會再送一次三個人的名單我希望中國國民黨 台灣民眾黨
transcript.whisperx[116].start 4366.383
transcript.whisperx[116].end 4385.16
transcript.whisperx[116].text 身為一個在國會殿堂有席次的政治團體不能言而無信人民在看歷史在看如果我再送出三個名單這三個名單就代表行政院補送三個名單我願意補足程序讓你們補足誠信好
transcript.whisperx[117].start 4386.104
transcript.whisperx[117].end 4412.756
transcript.whisperx[117].text 本席也非常期待喔這個最重要的是中選會還是要還給中選會公正獨立性人民對於選舉跟台灣的民主制度才會相信跟信任好接下來呢我要來看的是這個藍白在這一次的中選會當中讓我們看到了詐騙之數的詐數喔那麼無獨有偶的跟中國對於台灣的滲透的詐數一模一樣那就是用AI的假訊息現在不斷的在
transcript.whisperx[118].start 4413.556
transcript.whisperx[118].end 4434.736
transcript.whisperx[118].text 干擾台灣的選舉行為包括台灣跟日本當中現在都受到中國的輿論假訊息的影響其中中國會透過指導資訊公司或者是公關公司或者是水軍等等來針對我們現在的日常生活來進行影響那麼我們看到的是台灣國內的異常帳號
transcript.whisperx[119].start 4438.021
transcript.whisperx[119].end 4462.55
transcript.whisperx[119].text 年增1.7萬那麼我們的爭議訊息是年增15.5萬則所以整體來說我想國安局的這個報告非常明顯的點出的就是這個手法越來越精細尤其是透過AI製圖又或者是AI的造假我們來看下一張我全面的收羅了包括在外交方面有說我們
transcript.whisperx[120].start 4464.303
transcript.whisperx[120].end 4483.27
transcript.whisperx[120].text 氣台胞不顧在經濟方面有說會斷氣但是今天都已經是3月17號了完全沒有這回事在交通方面連高鐵都會有來騙長者來誘導高年級的高年資齡的族群那麼至於像生活的方面就會有聊天
transcript.whisperx[121].start 4484.19
transcript.whisperx[121].end 4511.979
transcript.whisperx[121].text APP是來自於中國然後騙取你的個資我要強調的是中國的認知作戰已經是全方位的滲透撕裂台灣對於台灣族群之間的不信任對於行政單位的不信任那麼對於這樣的全面全方位滲透尤其是AI又加入請問行政團隊有什麼有具體的方式嗎當我們在面對打仗我們會有一個跨部會的作為
transcript.whisperx[122].start 4512.799
transcript.whisperx[122].end 4520.344
transcript.whisperx[122].text 而我們現在看到的這個中國的認知戰已經是跨部會的時候那麼我們行政團隊有什麼作為
transcript.whisperx[123].start 4522.041
transcript.whisperx[123].end 4546.898
transcript.whisperx[123].text 謝謝林委員的關心有關於來自於中國大陸排山倒海還有鋪天蓋地這種AI深微的短影片還有機器人製造的假帳號加上中共所操作的錄製APP可以說都來影響我們自由民主憲政的運作甚至剛剛委員說的從日常從借選
transcript.whisperx[124].start 4547.799
transcript.whisperx[124].end 4567.902
transcript.whisperx[124].text 大量的影響我們的認知那我們如何面對這些嚴重的認知作戰我們有四個重點第一個就是我們行政部門要通力合作包括像我們陸委會像我們速發部針對這個假訊息對我們影響我們最重要的就是要立刻的給他揭露
transcript.whisperx[125].start 4568.682
transcript.whisperx[125].end 4594.882
transcript.whisperx[125].text 這個揭露是當下最重要的當然這有一定的難度特別是溯源調查的時候需要各部會一起努力這第一個第二個許多的網路平台都是跨國企業像Google、Meta、Line這必須要透過國際合作來降低假訊息的氾濫那第三個當然我們提出了很多法律工具像我們國安法、社會法
transcript.whisperx[126].start 4595.942
transcript.whisperx[126].end 4624.519
transcript.whisperx[126].text 針對這個危害我們國家安全跟社會安定的這個假資訊特別是您剛提到這些樣態我們需要有好的法律工具那這些立法都已經送到立法院來我們希望朝野都能夠支持最後就是我們要進行整個社會的大量的試讀教育試讀網路安全 資安安全以及試讀中國大陸跟兩岸關係避免受到這些假訊息的影響
transcript.whisperx[127].start 4625.219
transcript.whisperx[127].end 4631.065
transcript.whisperx[127].text 台灣要建立自己的民主防衛機制讓社會更有韌性我們才能阻擋
transcript.whisperx[128].start 4656.411
transcript.whisperx[128].end 4663.283
transcript.whisperx[128].text 好 謝謝謝謝林委員 謝謝卓院長下一位請馬文君馬委員質詢
transcript.whisperx[129].start 4686.67
transcript.whisperx[129].end 4696.509
transcript.whisperx[129].text 謝謝主席 麻煩請卓院長 請外交部部長 請內政部部長卓院長還有外交部部長 內政部部長請備詢
transcript.whisperx[130].start 4709.594
transcript.whisperx[130].end 4737.502
transcript.whisperx[130].text 馬文好院長好 部長好今天我們就幾個議題我們希望跟院長還有我們幾個部會來做探討的就是說現在其實在很多的霸凌的面向上面不管是在校園的霸凌也好職場的霸凌也好或者各個場域的霸凌現在其實還是充斥在我們的周遭我們也常常看到很多相關的訊息
transcript.whisperx[131].start 4738.362
transcript.whisperx[131].end 4745.051
transcript.whisperx[131].text 那院長不曉得對於霸凌有什麼樣的一個看法或者有什麼樣的因應之道
transcript.whisperx[132].start 4745.666
transcript.whisperx[132].end 4774.946
transcript.whisperx[132].text 是謝謝委員的提醒我們是從過去我們有部會發生過嚴重的這種事端之後我們從內部跟外部都做了相關的一些必要的這個防範的措施申訴的管道讓他更暢通申訴的層級也讓他提高甚至引進外部的力量來對這些案件做有效的一個最後的一個裁判讓所有被申訴人能夠在被保護的狀態底下勇於說出自己不公平被對待的這樣的過程
transcript.whisperx[133].start 4775.947
transcript.whisperx[133].end 4784.846
transcript.whisperx[133].text 那麼也因為有更專業的心理的智商的問題讓他能夠事後得到這樣的一個心理的五福位這個我們都全面在各個部會裡面全面展開
transcript.whisperx[134].start 4785.717
transcript.whisperx[134].end 4814.913
transcript.whisperx[134].text 所以其實我們在很多職場的霸凌上面就是說包括總是被貶義被批評或者像不公平的一個待遇刻意的排擠孤立等等包括勞動部其實大概也做了很多的一個宣傳職場的冷暴力被同意刻意的疏遠排擠貶低批評羞辱惡意的操弄等等其實這個就是職場的冷暴力這個也是霸凌那我們很希望其實他
transcript.whisperx[135].start 4816.234
transcript.whisperx[135].end 4841.315
transcript.whisperx[135].text 應該在我們這個自由民主的國家這麼重視人權的一個國家我們應該要好好的守住這樣子的一個它的一個大方向尤其我們應該要守住這樣子的一個照顧就是每一個人都應該被照顧所以接下來我想要請教我們的外交部長我們現在我們過去像丹麥他給我們
transcript.whisperx[136].start 4842.616
transcript.whisperx[136].end 4870.388
transcript.whisperx[136].text 就是在居留證上面他從台灣本來你的那個國籍他可以寫台灣現在變成中國他從2024年3月一直到現在2026年3月已經長達兩年的時間那他有沒有改變我們在持續交涉中那我們也對應的降低丹麥駐台代表跟他們這個辦事處的一些
transcript.whisperx[137].start 4871.824
transcript.whisperx[137].end 4885.519
transcript.whisperx[137].text 特權另外我們也協調了包括G7在內的歐洲國家協助希望丹麥依照歐盟國家對我們的這個交往的一個標準來進行
transcript.whisperx[138].start 4887.458
transcript.whisperx[138].end 4912.589
transcript.whisperx[138].text 但是他們因為有特定的人的立場沒關係就是目前其實我們還在交涉中嘛對不對那另外就是在近期發生的就是韓國韓國跟我們其實來往非常密切我們國人到韓國旅遊的啦我們的貿易的經貿的往來啦各方面其實還包括很多的競賽等等其實韓國可能也是我們可能會選擇去的一個很重要的一個國家
transcript.whisperx[139].start 4913.149
transcript.whisperx[139].end 4938.093
transcript.whisperx[139].text 可是他近期在他的那個簽證電子簽證上面也要求可能在國籍上面是寫中國台灣那目前我們的因應作為是叫國人盡量是填寫那個文書就是可能用書面的所以在這個部分我們又做了什麼樣的一個努力現在韓國有做調整改變了嗎
transcript.whisperx[140].start 4939.123
transcript.whisperx[140].end 4965.539
transcript.whisperx[140].text 報告委員本來韓國是2月1號開始要全面電子化這些路徑的表格那經過我們交涉他們還是維持紙本跟電子化並行可是我們相對應也對南韓我們現在稱為南韓他在台灣的這些登錄包括戶籍資料就以南韓稱之另外涉及到對等我們也已經做好準備經過國安會還有我們跟內政部
transcript.whisperx[141].start 4967.608
transcript.whisperx[141].end 4989.423
transcript.whisperx[141].text 這個移民署等的協調我們也有配套的做法總之外交就是秉持對等尊嚴對 部長可是我們還是沒有辦法改變現狀嘛先暫時停止它繼續惡化我知道 你說在國內我們稱它南韓可是它所有在全世界各地其實大家稱呼它是不會改變的那就這個部分我們也希望其實就國際現狀我們很理解
transcript.whisperx[142].start 4991.624
transcript.whisperx[142].end 5007.377
transcript.whisperx[142].text 所以我們也能夠支持我們所有的外交的努力然後在還不能改變現狀的情況之下我們希望給大家機會然後你有更多的空間時間然後更強力的去表達我們自己的訴求
transcript.whisperx[143].start 5008.158
transcript.whisperx[143].end 5022.299
transcript.whisperx[143].text 那接下來我想要請教我們的內政部 劉部長我想請教一下如果說我們中華民國的國人我們已經有身份證存在的我們到底要怎麼樣去看待他
transcript.whisperx[144].start 5024.161
transcript.whisperx[144].end 5043.6
transcript.whisperx[144].text 你是說到韓國去的事情還是不是就是如果說我們中華民國的國人任何一個國民我們要應該怎麼樣去對待不管他來自哪裡如果他有中華民國身份證的話那當然他是等同於我們中華民國所有的權利義務都包含在內
transcript.whisperx[145].start 5044.841
transcript.whisperx[145].end 5061.764
transcript.whisperx[145].text 那我想要請教一下因為現在大家最近這段時間包括剛剛有委員關切到就我們現在有一位委員其實他的身份到現在還是雖然我們在行政團隊對他不予認同
transcript.whisperx[146].start 5062.885
transcript.whisperx[146].end 5077.941
transcript.whisperx[146].text 甚至剛剛我講的這些冷暴力或者像各種這樣子的批評羞辱我覺得已經讓大家在我們在地方上我們聽到很多的聲音因為它不應該發生在我們國家裡面
transcript.whisperx[147].start 5079.262
transcript.whisperx[147].end 5100.873
transcript.whisperx[147].text 今天任何一個他已經在這裡生活了三十幾年即使他過去有在中國大陸出生的那剛剛我們提到的包括外交處境你現在的現況我們請國家之力你都沒有辦法去改變一個國家說把我們的那個名稱把它改回來
transcript.whisperx[148].start 5101.954
transcript.whisperx[148].end 5122.885
transcript.whisperx[148].text 今天我們如果有辦法你今天是一個行政團隊你今天如果它是非常不恰當或者它就是違法的你直接把它停掉當你還沒有辦法做到這樣的時候我們希望尊重每一個人因為那樣子的被對待今天雖然我出生在台灣我也很會說台語
transcript.whisperx[149].start 5124.466
transcript.whisperx[149].end 5143.701
transcript.whisperx[149].text 我也一直愛台灣可是我們一直被貶義說你親中賣台那些我們也把它吞下來這個是沒有辦法被別人貼標籤的可是當今天有一個人他現在還有這樣的身份你們這樣的對待我覺得已經超過了如果可能
transcript.whisperx[150].start 5144.441
transcript.whisperx[150].end 5160.971
transcript.whisperx[150].text 既然行政團隊你可以釋憲你可以不附屬你可以去解釋包括我們的預算接下來等一下要談的你都可以在幾天前你的解釋是違憲跟違法可是現在又可以同意他
transcript.whisperx[151].start 5161.531
transcript.whisperx[151].end 5177.616
transcript.whisperx[151].text 去做這樣的實施所以我想看我們怎麼樣去解釋這個事情今天三位站在這裡我們只希望給予人基本的尊重今天如果他不行你們就直接說他不行直接找出一條法律
transcript.whisperx[152].start 5178.576
transcript.whisperx[152].end 5197.051
transcript.whisperx[152].text 就讓他離開他今天可以站在國會殿堂表示他還有這樣的資格請尊重每一個人每一個中華民國所有的國人這是我們想要講的我想要表達的我們按照國籍法第一個中華民國國民他有參政權
transcript.whisperx[153].start 5197.992
transcript.whisperx[153].end 5200.373
transcript.whisperx[153].text 部長我沒有要跟你討論法因為部長我沒有要跟你討論法今天如果他有雙重國籍他不行你就讓他馬上離開
transcript.whisperx[154].start 5213.619
transcript.whisperx[154].end 5231.025
transcript.whisperx[154].text 這是我說 我現在要講的是這個部分如果還沒有要去處理這一部分你要去處理這一部分那如果還不是的時候我們希望你尊重每一個人身為人就必須要被尊重這是中華民國存在最大的價值
transcript.whisperx[155].start 5234.346
transcript.whisperx[155].end 5250.957
transcript.whisperx[155].text 是一個尊重人的國家過去民主進步黨也是這樣犧牲的啊我們希望你們去注重這一塊你要怎麼處理它我們沒有意見你今天如果它是違法了你就好好的處理可是不要用這種態度不要用這種對待我覺得這是
transcript.whisperx[156].start 5252.438
transcript.whisperx[156].end 5281.583
transcript.whisperx[156].text 很不人道而且真的很傷人今天我身為女性今天我身為我們一個人這樣的尊嚴我們覺得這樣子真的是很大的羞辱所以在這裡我們這不是他自己決定的啊你中選會之前你審查過啊你大法官也監視過啊你這邊沒有做到的時候你讓他一個人去承擔他有辦法去中華人民共和國去拿那一份資料嗎
transcript.whisperx[157].start 5282.683
transcript.whisperx[157].end 5299.67
transcript.whisperx[157].text 我剛剛提到的你請國家之力你都沒有辦法讓一個國家去改變我們的稱呼你叫一個陸配一個中華人民共和國出生的一個女性你去拿這樣的資料如果真的拿不到你們明知道拿不到
transcript.whisperx[158].start 5300.45
transcript.whisperx[158].end 5312.956
transcript.whisperx[158].text 妳要求他做這樣的事,如果他不行,妳這個不行,妳去處理這個部分嘛這是我今天要提出來,剛才我們很心平氣和地講到這樣,我們目前還想要尊重雙重國籍不能利益地道委員接下來我想要請教院長請回
transcript.whisperx[159].start 5323.3
transcript.whisperx[159].end 5338.994
transcript.whisperx[159].text 好 我要講一句話你談的這件事情跟人跟性別都無關它只是跟國家有關跟法律有關我們遵守就是國家的法律我們的法律現在我們接下來所說的新興計畫也是法律院長
transcript.whisperx[160].start 5340.876
transcript.whisperx[160].end 5360.295
transcript.whisperx[160].text 我們的法律其實有很多的解釋是看你怎麼解釋你先從尊重然後再去執行你的法律你要執行法律我們沒有意見我們也尊重我們國家的法律應該怎麼走應該怎麼做我們都非常尊重可是當你還是的時候我們希望這是基本的人權
transcript.whisperx[161].start 5362.136
transcript.whisperx[161].end 5382.472
transcript.whisperx[161].text 應該要尊重身為人應該被好好的對待你喜不喜歡是另外一回事你法律是另外一回事今天今天有一個違法的人去在職場工作的時候你即使不喜歡他即使他有其他的我們歡迎所有的人來加入中華民國這個大行列但是你要在這裡從政必須要
transcript.whisperx[162].start 5382.992
transcript.whisperx[162].end 5410.042
transcript.whisperx[162].text 具備合法的要件你處理這個部分嘛你處理這個部分嘛今天所有的行政權所有的法律的解釋權所有的權限都在你們手上的時候你應該去做的是這個部分應該去做的是這個部分而不是去貶義因為他這三十幾年來他沒有在這裡犯過法他沒有做過為非作歹的事情我們希望尊重的是這樣
transcript.whisperx[163].start 5411.862
transcript.whisperx[163].end 5429.828
transcript.whisperx[163].text 院長我們講到的是這個部分如果是這樣那我們剛才還要求我們也可以這樣要求說你自己都講得那麼大聲我們編了那麼多的預算你應該跟其他的國家講說我們就是中華民國你應該不可以包括寫中國我們跟立法院都講不通了我就跟哪一個國家講你如果兩萬
transcript.whisperx[164].start 5431.448
transcript.whisperx[164].end 5451.128
transcript.whisperx[164].text 那是你的問題欸是立法院的問題我去外國講不通我們在立法院都講不通你要我去跟國外講那是你的問題如果今天你對其他的國家你也做不到我就說你以一個國家之力你都沒有辦法做到所以立法院是比外國還外國的啊立法院獨立在中華民國之外嗎
transcript.whisperx[165].start 5452.789
transcript.whisperx[165].end 5468.6
transcript.whisperx[165].text 院長身為院長你不用跟我講這個那是你們去討論的你沒有好好講院長今天院長的職務是你我現在提出這樣的建議你聽不聽你們可以自己去做選擇
transcript.whisperx[166].start 5469.58
transcript.whisperx[166].end 5484.3
transcript.whisperx[166].text 今天在這一塊土地上面我們希望每一個人都受到尊重你應該依法辦理我們尊重可是請尊重每一個人這是我要強調的接下來我想要請教新興計畫的部分
transcript.whisperx[167].start 5485.001
transcript.whisperx[167].end 5507.64
transcript.whisperx[167].text 新型計畫我們目前在上個禮拜立法院有通過718億38項的這個部分大概就民生類的TPAS或者生育補助治水防洪等等我們同意行政院先行動之之前行政院發言人其實他也強力的表示
transcript.whisperx[168].start 5509.221
transcript.whisperx[168].end 5522.829
transcript.whisperx[168].text 這個是違反預算法51條既違憲又違法而且史無前例可是主計長已經說了其實他已經把這些公文大概也發出去了就是說根據預算法第54條
transcript.whisperx[169].start 5524.37
transcript.whisperx[169].end 5541.558
transcript.whisperx[169].text 我們是可以先行動之就這樣子我們從現在跟剛剛對照就法律看你怎麼解釋那我們還是尊重如果說這是必要的我們還是希望可以去動之相關的預算不僅可以照顧我們年輕人
transcript.whisperx[170].start 5542.478
transcript.whisperx[170].end 5571.057
transcript.whisperx[170].text 它在我們現在少子化的狀況上面既然有這樣的政策我們支持那另外在治山防洪治水防洪的這個部分因為台灣現在又快到了雨季那大概也很容易發生這樣的災害我們也同意希望這些預算可以先通過先行動之尤其是對於百萬人可能會用到的這些交通的這些相關的補助我們也同意那就這些我們現在
transcript.whisperx[171].start 5572.858
transcript.whisperx[171].end 5591.436
transcript.whisperx[171].text 如果就我們剛剛的說明跟解釋我們之前說不行那現在又可以那他的考量或者他的轉彎的那個他的用意到底是什麼也謝謝委員提到剛剛說718億這個是必要的那其他的98%我認為也是必要的
transcript.whisperx[172].start 5597.377
transcript.whisperx[172].end 5617.774
transcript.whisperx[172].text 沒關係你認為必要 那你應該要說服大家是不是他哪一個部分必要我們有機會來這裡說服嗎 連副委都不副委那個跟副委沒有關係院長那跟什麼有關係 請你告訴我 我如果來這裡說服我告訴你最大的那個癥結點就是軍人加薪還有錦囂的他們所得替代率
transcript.whisperx[173].start 5622.458
transcript.whisperx[173].end 5634.674
transcript.whisperx[173].text 合憲我們就編而且追加回來那你剛剛那個你也可以先釋憲啊先不附屬啊因為你剛剛你們在上個禮拜你說這是違憲然後又違法可是這個你們現在就馬上做了為什麼那你剛剛提到的那些
transcript.whisperx[174].start 5639.56
transcript.whisperx[174].end 5658.636
transcript.whisperx[174].text 照顧軍人接下來我們等一下還會提到我們的國防預算當你沒有人沒有優秀的人才沒有足夠的人力的時候我們邊界比偏低的時候你要多多的預算都是騙人的因為你沒有相關的人院長你如果在這裡講法我們剛剛也是要把它提過來
transcript.whisperx[175].start 5661.158
transcript.whisperx[175].end 5679.687
transcript.whisperx[175].text 法律的是用行政機關來解釋剛剛你說的軍人跟警消的那個問題那不是那個法律本身的問題是他違背預算法違背憲法立法院來替行政院編列預算的問題這才是違憲的問題他沒有特別編列預算他建議你這樣你可以編那你之前之前我們的
transcript.whisperx[176].start 5683.489
transcript.whisperx[176].end 5705.182
transcript.whisperx[176].text 原住民的反法條例你也過了那時候你們也說違憲違法所以我說你現在法律是由你們去做解釋的所以我們現在可以去體會的我們現在認為去體會的就是你可以去解釋憲法或法律嘛
transcript.whisperx[177].start 5706.543
transcript.whisperx[177].end 5725.982
transcript.whisperx[177].text 到底是不是這樣因為反正我們現在都是一直在進行當中我們現在提出來大概就是這個狀況今天如果可以讓我們做這樣這麼大的一個轉變不然你說違憲那你也可以去送解釋那你現在沒有辦法送的時候你還沒有的時候它就還沒有成立
transcript.whisperx[178].start 5729.064
transcript.whisperx[178].end 5747.45
transcript.whisperx[178].text 當你還沒有被解釋的時候它就還沒有成立所以這一點我們也請院長要明白這一點那接下來我想要請教的是我們現在連續兩年我們通過的總預算都非常的高幾乎都達到近三兆甚至都超過三兆雖然今年的我們還沒有審議剛剛您說為什麼還沒有
transcript.whisperx[179].start 5750.211
transcript.whisperx[179].end 5774.303
transcript.whisperx[179].text 其實主要原因就是這樣我們希望我們照顧到所有的預算其實好好的照顧到每一個部分那我們在預算編列的這麼多的情況之下其實地方常常面臨到很大的一個困境或問題就是我們在申請補助的時候一般可能有一些社團甚至社區或者有一些地方的團體
transcript.whisperx[180].start 5775.644
transcript.whisperx[180].end 5792.502
transcript.whisperx[180].text 或者像一些民間的一個協會等等其實他們要申請補助或者地方政府要申請補助的時候其實現在都比較困難因為我們中央大概也常常會說我們的經費不足或者你的整個計畫書的內容不夠明確內容不夠好
transcript.whisperx[181].start 5795.064
transcript.whisperx[181].end 5820.269
transcript.whisperx[181].text 然後我們不知道你的效益在哪裡甚至連兩萬十萬常常都拿不到補助那地方政府就更不用說了比如說我們有很多的治山防洪的計畫過去我們有很多的濃水路尤其像我們南投縣多山多水尤其河川多那像上一次在花蓮因為一個破口其實它整個堤防只要一破掉它造成的損害就非常的大
transcript.whisperx[182].start 5820.769
transcript.whisperx[182].end 5846.419
transcript.whisperx[182].text 可是我們現在如果要及時去做這些可能在很多建設上面的一些申請補助的時候其實都很困難那院長就這個部分您的看法是什麼我們未來四年編了1000億協助縣市館河川改善這個委員應該知道了那這筆錢就是你剛剛認為有必要的那718億當中所以預算通過了我們才能用
transcript.whisperx[183].start 5847.672
transcript.whisperx[183].end 5873.922
transcript.whisperx[183].text 做這麼簡單院長不是您錯了因為過去沒有特別沒有編列這些新興計劃的時候我們每年我們相關的預算都有因為我不是第一年到所以我們現在過去就是已經有這麼多的錢可是他現在不容易補助那現在很多的補助他需要很多甚至每個補助的計劃書動輒都要一整本然後寫很多然後才常常拿不到
transcript.whisperx[184].start 5874.542
transcript.whisperx[184].end 5896.41
transcript.whisperx[184].text 那就這些部分我們也希望我們中央可以去體恤我們有很多的地方的單位其實他需要這些相關的一些挹注其實縣市館河川本來就是縣市政府要去這個不是河川而已啦包括我們有些地方他可能產業沒有我講很多嘛我說還有社區啦還有協會啊很多協會比如說他產業只要不是全國性的協會也是地方政府該協助不是嗎
transcript.whisperx[185].start 5901.792
transcript.whisperx[185].end 5926.81
transcript.whisperx[185].text 有很多的協會中央一直都有現在還有那個沒有搞清楚的問題因為現在的預算他就是可以補助院長我們現在要提到的是當你在對於有很多重大建設或產業發展或產業觀光促進活動的時候我們看不到很多的政績可是我們看到你不斷的一直在這裡
transcript.whisperx[186].start 5927.931
transcript.whisperx[186].end 5936.994
transcript.whisperx[186].text 其實跟我們對嗆沒有用我們要的是希望大家可以做更好更多的這些建設讓台灣更好讓我們所有的安定我們有沒有提出六區的產業生活圈
transcript.whisperx[187].start 5943.757
transcript.whisperx[187].end 5949.364
transcript.whisperx[187].text 我們有提出AI新十大建設如果沒有這些新興的計畫你就不會做事了嗎?光光我們看到這些你們不是沒有預算欸
transcript.whisperx[188].start 5961.385
transcript.whisperx[188].end 5979.392
transcript.whisperx[188].text 海運90期我們的總預算只有一兆八千多億到了現在賴清德政府已經高達三兆的預算去年就已經差不多是這樣的規模你說你沒有預算不能做事這是騙人的這是欺人的你在欺騙所有的國人那你去年的錢都花到
transcript.whisperx[189].start 5985.375
transcript.whisperx[189].end 6008.693
transcript.whisperx[189].text 你去年都花到哪裡去你去年已經編這麼高的預算我們現在還要再提出來今年我們所有的很多的預算包括你的總預算都已經非常高馬委員希望我們一年編一兆的預算嗎馬委員你希望我們一年編一兆的預算是不是你說什麼你說我們現在應該跟馬政府一樣一兆的預算嗎
transcript.whisperx[190].start 6010.097
transcript.whisperx[190].end 6028.148
transcript.whisperx[190].text 你剛剛不是這樣講嗎馬政府一照做很多事情我們現在三照沒有做事情不要扭曲我的說法我說馬政府實施我說馬政府實施編列總預算一照八千多億你現在已經高達近三照你說你沒有預算來執行我說的是你說錯了
transcript.whisperx[191].start 6029.068
transcript.whisperx[191].end 6041.804
transcript.whisperx[191].text 我要告訴你也是這個我剛剛從來沒有說過你應該編一照八千億或者一照你說錯了今天身為院長如果是來這裡談判的你沒有資格置在這個位置我們代表人民我們希望可以表達台灣的聲音
transcript.whisperx[192].start 6047.791
transcript.whisperx[192].end 6075.628
transcript.whisperx[192].text 你今天是金融不足的,你是想要照顧台灣?你是認為中華民國沒有特別三兆的預算嗎?三兆的預算你好好的去編列你有通過嗎?如果我剛剛講到一個癥結點今天軍人你都不願意照顧只說你要過三兆你只要你要的錢你有照顧軍人嗎?你有照顧警消嗎?現在這些缺人缺得非常嚴重為什麼?
transcript.whisperx[193].start 6076.428
transcript.whisperx[193].end 6094.131
transcript.whisperx[193].text 你去問看看為什麼有些軍人還願意勉強留下來因為他們認為有這一份家籍因為他們的生活需要因為他們現在在為國家保護國家去年一直連我們對軍人加薪了171億171億給誰軍人你現在我們說的是所有你說你錯了哪些軍人
transcript.whisperx[194].start 6104.847
transcript.whisperx[194].end 6132.542
transcript.whisperx[194].text 院長你說一下我們對很多的戰鬥部隊都加急了哪些軍人哪些戰鬥部隊書面我們講過很多次了維修的辛不辛苦再請部長講一下維修的辛不辛苦我們通過的不是那一部分院長你今天如果不願意照顧軍人我剛剛說的不見得都是戰鬥部隊為什麼沒有照顧軍人你現在就是沒有照顧軍人我們通過的法律希望你們可以確實的執行現在我們要再提出來的
transcript.whisperx[195].start 6133.502
transcript.whisperx[195].end 6150.131
transcript.whisperx[195].text 我們在今年近年國防預算不斷的升高馬政府時期是三千億蔡政府大概最後一年大概也將近六千億現在賴政府已經高達九千四百九十五億而且在去年底
transcript.whisperx[196].start 6151.294
transcript.whisperx[196].end 6160.676
transcript.whisperx[196].text 也就是在幾個月前你們還通過了因應國際情勢強化經濟社會及民生國安任性特別預算5447億這個部分在國防就佔了1110多億你現在又編一兆2500億我們
transcript.whisperx[197].start 6170.319
transcript.whisperx[197].end 6194.123
transcript.whisperx[197].text 部長之前其實也有提到啦部長其實您在擔任國防部長之前你是在國安會大小軍團你都參與過我們的國防預算你也都經歷過很多我們軍購不是第一年才產生才有軍購的這個部分過去我們在沒有特別預算的情況之下我們每年的軍購不管你是買魚殺飛彈、飆槍飛彈、刺針飛彈、拖勢飛彈或者包括我們的魚雷
transcript.whisperx[198].start 6198.744
transcript.whisperx[198].end 6219.184
transcript.whisperx[198].text 各種武器裝備還有包括我們的戰車我們都是編列相關的預算因應那時候的預算規模就是我剛剛講的有3000億有6000億你現在高達9000多億你跟我們說你不夠然後你又編了1100多億你去年編了1100多億裡面你有看到那是要做什麼嗎
transcript.whisperx[199].start 6220.265
transcript.whisperx[199].end 6237.252
transcript.whisperx[199].text 你包括廁所包括買桌子椅子包括買很多平板電腦都編在特別預算裡面你現在的一兆2500億我剛剛提到有很多地方要申請經費的時候寫了一大本的規劃書拿不到半毛的補助款
transcript.whisperx[200].start 6238.112
transcript.whisperx[200].end 6254.933
transcript.whisperx[200].text 今天你編一照2500億的時候剛開始如果不是後來部長這邊有開了一個機密會議你們甚至連內容我們通通不知道然後你就認為說一照2500億全部通通要通過就像部長講的我們支持國防過去
transcript.whisperx[201].start 6255.613
transcript.whisperx[201].end 6271.407
transcript.whisperx[201].text 部長在國安會期間有任何的軍購案是被凍結或者被刪減嗎沒有其中有一次有凍結的部分只有魚雷MK48MK48從107年建案到現在現在115年了長達8年的時間現在一枚都沒有來
transcript.whisperx[202].start 6277.437
transcript.whisperx[202].end 6304.967
transcript.whisperx[202].text 說非常重要可是還連一枚都沒有來你們在要經費的時候都跟我們說非常的重要可是當他沒有來的時候我們說F16不是我們拿這個來消遣我們的行政單位F16是我們的主力戰機F16V現在到今年是特別預算的結束年今年最後一年現在已經3月了12月底就結束了我們的
transcript.whisperx[203].start 6306.997
transcript.whisperx[203].end 6328.629
transcript.whisperx[203].text 這個到底要怎麼處置他可以來嗎66架2500億的特別預算他如果沒有來對我們戰力會造成什麼影響有對國人做過交代嗎我們現在要買的是什麼東西你們做過清楚的交代嗎除了現在美方提供的發價書明確出來以外我們過去也有軍購啊我們可以用機密預算
transcript.whisperx[204].start 6329.609
transcript.whisperx[204].end 6347.174
transcript.whisperx[204].text 當你提供需求的時候我想這個部長非常清楚他之前在國安會當你提出需求以後我們提出他們會提供報價單報價單以後他們經過很多的程序以後同意以後會給我們發價數我們才公開出來這個我們都理解
transcript.whisperx[205].start 6347.794
transcript.whisperx[205].end 6359.892
transcript.whisperx[205].text 所以有一些如果是軍購的部分我們會知道他應該要什麼樣的流程可是當你一照2500億你到底編什麼到現在都講得不清不楚的情況之下你們說我們一定要編到底為什麼
transcript.whisperx[206].start 6360.849
transcript.whisperx[206].end 6390.309
transcript.whisperx[206].text 跟委員簡短的報告好 第一點我想國軍去年的邊線比都有提升流營率也提升 那麼志願役的人數也增加我想這有功於這一個有可以歸功於我們去年的這個戰鬥部隊等等的五項加解大幅增加 這是第一點說明 第二點我想一照2500億現在是在調例 調例如果沒有護委根本沒有在委員會有案子沒有在委員會有案子 我們還特必
transcript.whisperx[207].start 6391.189
transcript.whisperx[207].end 6406.682
transcript.whisperx[207].text 還沒有互違之前我們就來做機密專報其實理論上來講應該要經過互違我們才有可能去做專報啊所以一照2500年代是條例先要審查審查的時候我們會去做這個專報專報來說明整個條例它所編制的各個的項目
transcript.whisperx[208].start 6412.387
transcript.whisperx[208].end 6435.082
transcript.whisperx[208].text 之後條例通過以後我們還要送預算交給大院審查預算通過之後委員應該也知道是等預算通過之後美方的發價書才會過來啊對不對 這整個建案的程序其實是要我們先跟美方有一個初步的願意公售的意願之後我們要編預算 編預算才有發價書啊這是第二點
transcript.whisperx[209].start 6437.103
transcript.whisperx[209].end 6455.657
transcript.whisperx[209].text 第三點我想相關的這些我們跟美方所籌購的這些項目確實像你講的F16它有遲延的狀況MK48有遲延的狀況但是不因為我們有這些遲延的狀況我們就不需要再講持續的強化我們的戰力持續強化我們的戰力是一個最重要的事情
transcript.whisperx[210].start 6462.182
transcript.whisperx[210].end 6479.695
transcript.whisperx[210].text 今天這些延宕我們就不部署其他武器裝備這是錯的我們所有的武器裝備我剛剛講了這個已經延宕好幾年可是我們每年還是通過很多的預算所以你講的是錯的但是你剛剛講到一個重點你說我們的流盈率你說我們的流盈率
transcript.whisperx[211].start 6483.297
transcript.whisperx[211].end 6502.924
transcript.whisperx[211].text 今天我有意見 當這個部分你餘累都還沒來 潛艦都還沒有測試過了以後我們為什麼有預算 你到今年我們是前年通過的院長你可以知道這個部分你這個部分你只會耍嘴皮子而已你今天沒有民運體育 今天如果部長 今天如果
transcript.whisperx[212].start 6505.885
transcript.whisperx[212].end 6532.278
transcript.whisperx[212].text 不需要持續的增加我們的防衛人權跟我們的戰力啊你說有戰鬥加急如果這個可以有影響流營率好 謝謝 謝謝馬委員
transcript.whisperx[213].start 6534.946
transcript.whisperx[213].end 6541.11
transcript.whisperx[213].text 好 謝謝卓院長 報告院會休息十分鐘 休息之後繼續進行質詢 現在休息
transcript.whisperx[214].start 7316.041
transcript.whisperx[214].end 7318.383
transcript.whisperx[214].text 包園會現在繼續開會我們請王委員美會質詢主席南加院長左院長備詢
transcript.whisperx[215].start 7354.133
transcript.whisperx[215].end 7367.882
transcript.whisperx[215].text 委員長 委員長本學要先跟你談到一個才華法的問題在這裡本學有做一個才華法在83年的四個月前有修正獵養護衛再來83年的12月20日我們在歡迎三頭通過再來84年的3月21日總統公佈才華法
transcript.whisperx[216].start 7384.213
transcript.whisperx[216].end 7409.342
transcript.whisperx[216].text 再來在一百十四年的財務利益與其他業務的通過 但是在這裏面我們有修正理導的公司的問題後在一百十四年12月13日才發放公布我們追溯於一百十四年三月利益的生效在這個規定裏面 院長本事要跟你談到的就是
transcript.whisperx[217].start 7412.324
transcript.whisperx[217].end 7421.182
transcript.whisperx[217].text 總共一句話就是中央跟地方的錢要怎麼去分配才是重要在這個過程裡面
transcript.whisperx[218].start 7423.001
transcript.whisperx[218].end 7439.953
transcript.whisperx[218].text 我們的應用度 如果分配不好的時候會有很多應用度像社會福利也好 照顧老人 照顧孩子這是非常多的應用在這個過程裡面 在本省所了解 找資料的時候在84年12月3日公佈的時候
transcript.whisperx[219].start 7450.734
transcript.whisperx[219].end 7467.076
transcript.whisperx[219].text 一百十五年中央合格二期的通酬分配款是一百十八月第一天通酬分配款的時候
transcript.whisperx[220].start 7468.473
transcript.whisperx[220].end 7477.455
transcript.whisperx[220].text 因為這幾本的財劃法的修正中央統籌分配稅款減少了4000多億所以這個錢就跑到地方去了分來地方就比較多錢
transcript.whisperx[221].start 7495.634
transcript.whisperx[221].end 7513.862
transcript.whisperx[221].text 所以中央在一般性的補助跟計劃性補助做調整現在財務法規定說一般性補助不能夠少於前一個年度的2,501億所以如果再減一大堆再維持計劃性補助再維持中央根本就變不出這個有存
transcript.whisperx[222].start 7521.525
transcript.whisperx[222].end 7532.414
transcript.whisperx[222].text 所以就種一些物資可以調整做一般性補助或維持2500公額這是不定義的在化所以院長你所說的就是不定義所以一般的補助有時候在地方會必定當
transcript.whisperx[223].start 7541.261
transcript.whisperx[223].end 7547.59
transcript.whisperx[223].text 還那麼久?是不是這樣?現在我們為什麼要跟你談到這?因為地方的風風雨雨,說中央沒有支持,自己支持啦!該因為不來這次上海
transcript.whisperx[224].start 7559.205
transcript.whisperx[224].end 7571.497
transcript.whisperx[224].text 是國家 要不然我身為嘉義市的民意代表我認為嘉義市的建設還需要中央的配合啦
transcript.whisperx[225].start 7572.588
transcript.whisperx[225].end 7590.658
transcript.whisperx[225].text 加錢啦所以說 站在那一點不管是站在坐或坐的時候院長本事要跟你談到的就是說物資都去的 什麼東西都去的包括我們要補助給貝斯我們也去的 是不是這樣所以在這個過程當中本事要跟你談到的就是說未來加日期
transcript.whisperx[226].start 7600.524
transcript.whisperx[226].end 7614.811
transcript.whisperx[226].text 拜託院長就是要用心給家綺再好好地 雖然家綺的生活會很好但我們要好好地 別人說我們要做好道德沒有這回事
transcript.whisperx[227].start 7619.253
transcript.whisperx[227].end 7634.961
transcript.whisperx[227].text 一定好 還要更好啦在這兩天本身要跟你談到的所以我一句話跟委員拜託 就是說委員如果能夠支持行政院院版的裁判法那中間分配又比較公平
transcript.whisperx[228].start 7635.521
transcript.whisperx[228].end 7663.751
transcript.whisperx[228].text 對地方 不管是統籌 還是其他的計畫性補助 能夠恢復就恢復但是這個分配 沒有國管局 管局查太多這是千萬台灣 拜託千萬來支持雖然我是省委及議區的民運代表但是作為中華民國 台灣的立委都希望每一個管局 都可以在中央的分配 公平跟公正
transcript.whisperx[229].start 7664.775
transcript.whisperx[229].end 7681.151
transcript.whisperx[229].text 因為有的人 因為一天嘛 有的人分到這麼多 我覺得這不公平啦所以我們 未來的事情 我們一定要做得公平 公正啦在這兩天 第二天就是總議選 還沒過
transcript.whisperx[230].start 7685.635
transcript.whisperx[230].end 7713.329
transcript.whisperx[230].text 但是在我們的社會成長的時候有過這個新興的條例裡面有三十八項都共是七八十八億的來賓但是我們現在你也知道我是來自嘉義市嘉義市的建設你也有看到有機鐵路高架在正當
transcript.whisperx[231].start 7715.508
transcript.whisperx[231].end 7723.552
transcript.whisperx[231].text 補助20億,在今年中間要補助27億,要到40億要不然在這個過程,沒有人能夠討稅還要補助人家,因為你如果錢沒有來
transcript.whisperx[232].start 7733.758
transcript.whisperx[232].end 7746.414
transcript.whisperx[232].text 對健身、免犯派、對地方的應用就更大了是不是越南還是北京,回到未來的經濟體力更強今年要保守
transcript.whisperx[233].start 7750.659
transcript.whisperx[233].end 7765.331
transcript.whisperx[233].text 40億 要如何能夠自己一國軍來完成因為已經延誕2年了這個中台的建設 如果一直辦一直辦對這個社區認真 這樣是沒有公平的請來補充還是院長你會答謝
transcript.whisperx[234].start 7772.079
transcript.whisperx[234].end 7782.955
transcript.whisperx[234].text 用委員來報告啦,其實我們今年的議程跟目前為止還沒審查通過啦今年其實我們現在...我現在要問你問說假日期的債務高價的保障要怎麼處理?
transcript.whisperx[235].start 7786.525
transcript.whisperx[235].end 7798.553
transcript.whisperx[235].text 委員報告 開始我們很擔心啦這個議程我們都有編 不是沒有編該開的錢都有編 但是議程還沒過我們今年 現在鐵路高計劃正在開錢的高峰期今年要開比較多錢比去年上面的資料也有看出來今年要開比較多 但是議程還沒過我們很歡樂 今年四月至六月差不多到那個時間 我們的錢就開完了
transcript.whisperx[236].start 7812.563
transcript.whisperx[236].end 7834.048
transcript.whisperx[236].text 後面我們的土建跟電機工程跟其他的間接工程都會影響到這個部分我是很歡樂所以要拜託我們立法院可以趕快跟他算金通過我也希望這個建設可以趕快通過這樣不然你說的就是跟他的今年補助40億如果不去在這個過程當中一定延宕最緊要三年如果像你這樣說的時候還會延宕更久喔
transcript.whisperx[237].start 7841.549
transcript.whisperx[237].end 7864.337
transcript.whisperx[237].text 這點我們是很高興,因為我們的醫生可以用到六月最高用到六月,後面就沒錢了所以要拜託我們李煥英今天要跟醫生同歸我覺得醫生我們也是要認真因為我覺得每一棟都一樣,我相信每一棟都需要這個醫生去建設他的雇傭
transcript.whisperx[238].start 7866.798
transcript.whisperx[238].end 7877.781
transcript.whisperx[238].text 市民對他的價值和價值都一樣不說實在的 你如果不對他們的建設 算你要幹什麼啦在這個規定 本市要跟你說一下我們的溝通在本市所掛的這個溝通對一個社區來說是非常重要因為市民是他們家人
transcript.whisperx[239].start 7895.22
transcript.whisperx[239].end 7908.827
transcript.whisperx[239].text 的消費城市 也是觀光的好地方我們的觀光署也有統計一年有270萬人住在嘉義市尤其19年84年的時候有670萬人
transcript.whisperx[240].start 7918.857
transcript.whisperx[240].end 7924.401
transcript.whisperx[240].text 正經出出入入在高鐵的在這個過程當中我們有沒有拿去省下一天有萬倍的在高鐵的在本縣
transcript.whisperx[241].start 7933.756
transcript.whisperx[241].end 7948.243
transcript.whisperx[241].text 在那裡的拜託 在那裡的情緒在這個過程 我們的台鐵也聽到了我們的情緒的聲音所以有普悠瑪一定在加2.7加2.10
transcript.whisperx[242].start 7951.504
transcript.whisperx[242].end 7975.845
transcript.whisperx[242].text 再多幾個房子來回這是給一個觀光的社區方便和好地方但是本身房子還是房子就是高鐵的日夜車里開機車回的地方我們的安房也好快車也好煮蝦炒
transcript.whisperx[243].start 7976.656
transcript.whisperx[243].end 7992.393
transcript.whisperx[243].text 到現在 每隔一半 本市每天可以坐到六點五十七分來到台北開會 每隔一半而已是不是業障加補貼 你有看到嗎
transcript.whisperx[244].start 7994.355
transcript.whisperx[244].end 8000.944
transcript.whisperx[244].text 嘉義的發展 嘉義台積電 阿滴亞社區 這些都在嘉義站為何嘉義站都沒有快車 尤其本縣
transcript.whisperx[245].start 8011.198
transcript.whisperx[245].end 8035.609
transcript.whisperx[245].text 看在澳天在台中的澳基盤又來台南租賃又說唯一就是沒天隔離站在這個隔離站是不是保證還是業障可以承諾未來可以給的地方有的人網路說
transcript.whisperx[246].start 8036.964
transcript.whisperx[246].end 8053.158
transcript.whisperx[246].text 僱傭人可以到台北看演唱會 暗示還有暗車站回來給他的僱傭我也認為家裡有水準 所以也要有暗車可以坐在家裡站是不是有這個規定 請補充院長回答
transcript.whisperx[247].start 8063.233
transcript.whisperx[247].end 8075.704
transcript.whisperx[247].text 跟委員報告我們今年八月會有新的車會進來明年就會開始上線我們希望能夠增加整體高鐵的運量那委員在講的沒有錯嘉義站是成長非常快的一個站
transcript.whisperx[248].start 8078.627
transcript.whisperx[248].end 8097.698
transcript.whisperx[248].text 那沒有進步的人還去辦,這樣對自己未來新車進來,我們會優先考慮加一站的增班優先考慮,沒有優先考慮啦一定要做啦,議長你看新座這麼多人,尤其是以前,也沒有台積電也沒有什麼你看自己的發展,是大家都有看到的所有的運動
transcript.whisperx[249].start 8108.304
transcript.whisperx[249].end 8115.212
transcript.whisperx[249].text 要趕緊去處理,讓家裡的溝通更好,他的社區一定會更加進步在這個過程當中,我想跟院長說我們家裡有附加醫院,在這個過程當中
transcript.whisperx[250].start 8129.246
transcript.whisperx[250].end 8151.464
transcript.whisperx[250].text 我認為包括補充也很好包括我們的業障也很好但是我們有看到家裡的老人的成長在這三四年本來是65歲有4萬5千人到今年已經成長到5萬2千人所以補充業障我認為
transcript.whisperx[251].start 8158.67
transcript.whisperx[251].end 8175.647
transcript.whisperx[251].text 我們的布加醫院有需要過程去檢出長照回來給它建設因為在這幾天的時候本身有去看到它的旁邊的天才庭它也有給予的茅廂
transcript.whisperx[252].start 8177.228
transcript.whisperx[252].end 8179.449
transcript.whisperx[252].text 新的車廂就是要加強運量
transcript.whisperx[253].start 8205.555
transcript.whisperx[253].end 8226.226
transcript.whisperx[253].text 不夠的地方 優先要保護下去家裡我們來慎重考量 慎重考量現在一樣住宿的機構如果地方已經輸給金管欠一堆 也要把他加進去因為家裡不是我們經營啦家裡是需求量跟使用力怎麼樣請部長來說明好 來謝謝委員的關心家裡實際上我們今天的長照的資源還夠
transcript.whisperx[254].start 8235.411
transcript.whisperx[254].end 8237.914
transcript.whisperx[254].text 但是當然是因為我們的老化的速度比較快
transcript.whisperx[255].start 8280.39
transcript.whisperx[255].end 8295.743
transcript.whisperx[255].text 好,謝謝,謝謝王委員,謝謝卓院長下一位我們要請鄭天才委員質詢當時八號院會現在在一場二樓
transcript.whisperx[256].start 8297.186
transcript.whisperx[256].end 8317.522
transcript.whisperx[256].text 貴賓席的是芝加哥大學的師生參訪團我們在此掌聲歡迎他們We welcome the students and faculty from the University of Chicago.
transcript.whisperx[257].start 8317.522
transcript.whisperx[257].end 8325.609
transcript.whisperx[257].text Welcome.謝謝蔣副院長有請卓院長請卓院長背書
transcript.whisperx[258].start 8335.45
transcript.whisperx[258].end 8362.035
transcript.whisperx[258].text 院長好來喔來喔辛苦了不會我們今天先談原住民族的教育原住民的保障升學保障從民國五十幾年就開始了今天所呈現出來是71年教育部早期是台灣省政府教育廳在辦民國五十幾年就開始了
transcript.whisperx[259].start 8363.991
transcript.whisperx[259].end 8392.273
transcript.whisperx[259].text 就我們就讀大專報考就讀大專校宴降低入期標準百分之二十五不限名額不限名額在民國九十一年的時候民國九十一年的時候教育部修正了這個辦法特別明定只限外加名額限百分之一委員者外加名額
transcript.whisperx[260].start 8393.637
transcript.whisperx[260].end 8410.266
transcript.whisperx[260].text 之前是沒有外加只要降低入企標準25%就入企然後在95年的時候又做了修正以外加2%為限然後102年做了修正建議修正後來是
transcript.whisperx[261].start 8418.44
transcript.whisperx[261].end 8430.787
transcript.whisperx[261].text 專案調高部分的科系5%外加5%部分的科系而已在這樣的一個前提之下我們看我們原住民
transcript.whisperx[262].start 8431.348
transcript.whisperx[262].end 8456.693
transcript.whisperx[262].text 就讀大專校園的學生的出債協力前果如果我們107斜年度前果是85.8%到113斜年度前果已經高達94.35%但是原住民跟非原住民的落差原住民一直維持在百分之五十幾而落差的差距從107斜年度的31.9%
transcript.whisperx[263].start 8462.165
transcript.whisperx[263].end 8491.207
transcript.whisperx[263].text 已經增加到36.85%這個落差一直增加從過去國民政府時代民國五十幾年我們原住民的過去的歷任的立法委員或是主任委員或是部會所相關的這些審議員很多的這個都是因為有這個降低入企25%才有機會去念大寫所以在這樣一個前提之下
transcript.whisperx[264].start 8494.295
transcript.whisperx[264].end 8512.029
transcript.whisperx[264].text 就請行政院這個能夠督促教育部能夠把它調高為現在是專案調高部分的科系5%現在就全部改為外加5%部長是不是可以趕快修正
transcript.whisperx[265].start 8513.557
transcript.whisperx[265].end 8542.003
transcript.whisperx[265].text 報告委員都是國家的國民在教育平權的理念之下我們當然希望能夠教育更多的下一代的青年人讓他能夠為國家多做更多的服務跟貢獻那現在也是一個少子化的時代那目前到底這個數字呈現出來是怎麼樣我們先來了解我們了解之後我們再來看看是否有更好的一個空間請部長來說明現在原住民就學的比例我已經諮詢部長很多次了
transcript.whisperx[266].start 8542.924
transcript.whisperx[266].end 8558.966
transcript.whisperx[266].text 就按照刚才这个院长所答复的就请教育部事实上如果我们从这个比例来看真的是落差很大这是第一个第二少子女化
transcript.whisperx[267].start 8559.721
transcript.whisperx[267].end 8573.866
transcript.whisperx[267].text 很多的大學生大學很多的大專校院大學其實是名額都沒有招滿所以這個部分是真的是可以可以去調整就請教一步是不是一個月之內能夠
transcript.whisperx[268].start 8575.747
transcript.whisperx[268].end 8585.696
transcript.whisperx[268].text 現況說明一下我們現在以今年115選年度來看我們這一個各個管道原住民外加的名額已經有8286名
transcript.whisperx[269].start 8590.2
transcript.whisperx[269].end 8614.749
transcript.whisperx[269].text 你的書面報告都已經給我了重點是有書面資料我都拿到了上次我諮詢之後你書面也給我了重點是在於你的落差是越來越大像土木啊或者有許多的一些農業或者科技的一些我們也逐步的在
transcript.whisperx[270].start 8615.602
transcript.whisperx[270].end 8640.584
transcript.whisperx[270].text 尋求跟這個大學的合作看開專班來協助那個都有我知道我那個我都清楚我們接下來看這個跟我們的能夠考上了好不容易考上了能不能繼續就學就跟這個這個學雜費的減免也有關係這個學雜費的減免也是在民國五十幾年就開始了然後這個減免應該要調高
transcript.whisperx[271].start 8643.315
transcript.whisperx[271].end 8666.711
transcript.whisperx[271].text 這事實上原住民族教育法也規定應該要減免這個協雜費然後如果我們看這個112年開始行政院針對私立的大專校的協雜費減免了少繳了3.5萬但是這個對原住民毫無授意如果我們看這個教育部所定的這個減免辦法
transcript.whisperx[272].start 8670.087
transcript.whisperx[272].end 8694.87
transcript.whisperx[272].text 從107年1月11號修正到現在已經8年一個月了院長 部長已經8年一個月都沒有調整所以從物價指數各方面來看也應該要調整這可以趕快調整嗎今年的預算來不及 明年的預算是不是可以來得及
transcript.whisperx[273].start 8696.124
transcript.whisperx[273].end 8700.291
transcript.whisperx[273].text 我們就以明年的預算來開始趕快去修正這個辦法
transcript.whisperx[274].start 8701.847
transcript.whisperx[274].end 8725.4
transcript.whisperx[274].text 委員你應該知道我們對於市立大學的學生3.5萬的補助這應該是任何身份都能夠享受得到的沒有 原住民因為本來就繳得比較少所以完全沒有收益 這樣了解嗎完全沒有收益是 我們是分擔 減輕所有人的負擔但是對原住民而言 完全沒有收益並沒有這樣子增加負擔
transcript.whisperx[275].start 8726.997
transcript.whisperx[275].end 8755.093
transcript.whisperx[275].text 所以如果就單從原住民來看107年1月到現在也該調整了好不好趕快調整再請部長去研究看看我們已經有新的制度了那新的制度跟過去的制度怎麼樣來使用上對原住民朋友107年到現在真的很久了接下來那就請部長請回座這個內政部跟這個園民會
transcript.whisperx[276].start 8756.826
transcript.whisperx[276].end 8783.987
transcript.whisperx[276].text 原住民族專屬的社會住宅我再讓院長還有部長還有園民會來回顧一下民國八十一年台灣省政府就興建了原住民國宅總共花了一億五千多萬這個是原住民國宅八十四年內政部台灣省政府跟台北縣政府
transcript.whisperx[277].start 8784.828
transcript.whisperx[277].end 8805.246
transcript.whisperx[277].text 花了兩億一千多萬原住民的中正經店的國宅在88年民國88年中央人民會編列了四億九千多萬設置了這個汐止花東新村的原住民的住宅
transcript.whisperx[278].start 8807.072
transcript.whisperx[278].end 8828.761
transcript.whisperx[278].text 民國91年蘇貞昌當台北縣縣長的時候也跟中央人民會我那時候是副組委也是協助編列了2億8千多萬的經費在三峽的原住民文化部落這個是當時的一個現在的照片
transcript.whisperx[279].start 8831.418
transcript.whisperx[279].end 8859.067
transcript.whisperx[279].text 我刚刚讲的都是还没有原住民族基本法的时候还没有住宅法的时候原住民族基本法第十六条规定政府应策定原住民族的住宅政策第28条也规定对都会区的原住民要保障他安居安居的一个这个权利住宅法住宅法第二条第四项105年
transcript.whisperx[280].start 8860.878
transcript.whisperx[280].end 8883.48
transcript.whisperx[280].text 12月修正目的事业主管机关因事原住民主教育及语言文化的需要为什么会提到教育语言文化因为我们在都会期如果上机的话你要说相关的这些课程都是教育的提升有它的困难集中在一个
transcript.whisperx[281].start 8884.577
transcript.whisperx[281].end 8909.153
transcript.whisperx[281].text 社會住宅的話集中在一個國小集中在一個國中各方面的這些教育的提升都會有幫助所以才會有住宅法第二條第四項的一個規定所以要新辦專攻原住民族的社會住宅這個法例從105年到現在也很多年了但是
transcript.whisperx[282].start 8910.134
transcript.whisperx[282].end 8938.975
transcript.whisperx[282].text 我雖然106年諮詢過內政部當時內政部說可以用內政部的住宅基金但是這麼多年了之後我們看原住民的在都會區的住宅的自由率的落差高達27%到30%落差很大尤其是我們的原住民的都會區的人口
transcript.whisperx[283].start 8940.066
transcript.whisperx[283].end 8966.958
transcript.whisperx[283].text 已經占全臺灣原住民的人口占了2.63%所以有52.63%在都會區有設戶籍的如果加上沒有設戶籍戶籍還在原鄉的所以平常居住在都會區的高達70%以上所以這些住宅
transcript.whisperx[284].start 8968.396
transcript.whisperx[284].end 8995.719
transcript.whisperx[284].text 尤其是在成都的住宅如果有社會住宅的話會更好對原住民的教育、語言、文化的傳承都會有很大的幫助台中市、新北市、桃園市政府曾經提出三個社會住宅專攻原住民的社會住宅但是內政府說沒有錢園民會也說沒有錢
transcript.whisperx[285].start 8996.943
transcript.whisperx[285].end 9013.671
transcript.whisperx[285].text 我們本來很希望移民會的綜合發展基金也可以來使用移民會也說沒有錢所以這個部分住宅法已經修正九年三個月了現在連一個原住民族的社會住宅都沒有
transcript.whisperx[286].start 9014.687
transcript.whisperx[286].end 9030.375
transcript.whisperx[286].text 要跟延期法之前政府都可以主動編列這麼多的經費是不是內政部 人民會是不是請行政院院長 督促督導他們這個提供相關的這些資源
transcript.whisperx[287].start 9032.954
transcript.whisperx[287].end 9052.74
transcript.whisperx[287].text 請劉部長來答覆謝謝院長謝謝鄭委員的關心我先跟鄭委員講一下住宅法的主管機關當然是內政部但是我們所興建的社會住宅是只租不賣跟剛剛委員所提到說原住民在都會地區裡面自有住宅比率是不一樣的
transcript.whisperx[288].start 9053.18
transcript.whisperx[288].end 9067.607
transcript.whisperx[288].text 完全不一樣的不是自由住宅這第一個現在我們根據如果是園民會他是目的事業主管機關他跟地方政府有達成共識需要來興辦前期的規劃的話我們在經費上面可以補助
transcript.whisperx[289].start 9071.149
transcript.whisperx[289].end 9090.397
transcript.whisperx[289].text 那另外一個也跟委員報告一下現在行政院通過的百萬戶租屋家庭的這個計畫裡面有三種包括原住民身份的人都可以來申請一個是租金補貼一個是包租代管這是民宅那另外一個就是社會住宅那您剛剛也看到了社會住宅從
transcript.whisperx[290].start 9091.457
transcript.whisperx[290].end 9119.815
transcript.whisperx[290].text 土地開始取得到真正建構完成通常都要8年到10年以上的時間所以對於目前比較需求社會住宅的人我們會鼓勵他從這個地方政府開始去申請剛剛我說的這三項補助租金補貼也可以包租代管也可以社會住宅當然也可以那目前在新北聚落裡面所需要的這個社宅的比例中央是三分之二地方是三分之一
transcript.whisperx[291].start 9120.535
transcript.whisperx[291].end 9142.443
transcript.whisperx[291].text 你講的那些我都知道尤其是租屋補助是我開創的我在園民會當副主委的時候跟當時的尤哈尼主委跟當時的行政院張俊雄院長提出租屋補助開辦的政策
transcript.whisperx[292].start 9143.436
transcript.whisperx[292].end 9163.091
transcript.whisperx[292].text 是從原住民開始後來才擴大到由內政部來主管擴大到不分族群那個我都很清楚我們現在談的是說法例既然明定住宅法明定已經九年三個多月了
transcript.whisperx[293].start 9164.895
transcript.whisperx[293].end 9194.148
transcript.whisperx[293].text 要興建 要興辦原住民族的專攻那是根據原住民族的教育法不是根據住宅法住宅法裡面規定的目的事業主管機關包括其他的部會如果有需求譬如說交通部 經濟部也可以這樣子來興建那我們站在住宅法上面是會協助包括在規劃的階段 籌備的階段或者是都市計畫要通過的階段都可以來協助那個 部長
transcript.whisperx[294].start 9195.405
transcript.whisperx[294].end 9221.34
transcript.whisperx[294].text 這個是住宅法第二條的第四項住宅法的第二條的第四項不是原住民主基本法好 這個議題還是要請院長那個會後能夠跟請這個內政部跟人民會還是要法律既然制定了而且這個制定的時候
transcript.whisperx[295].start 9224.81
transcript.whisperx[295].end 9251.159
transcript.whisperx[295].text 民進黨在立法院是多數是支持的所以這個部分請趕快來去處理這個部長請回座接下來原住民族綜合發展基金這個很重要如果有這個基金如果能夠維持這個基金剛才講的那些問題經費來源都不是問題
transcript.whisperx[296].start 9254.895
transcript.whisperx[296].end 9283.377
transcript.whisperx[296].text 好我們看原住民族基本法第18條規定要設原住民族綜合發展基金早期叫經濟事業發展基金是我在台灣省政府擔任原住民行政局副局長的時候應省議員的要求開始設了這個基金當初的目標就是100億精神之後立法委員繼續督促人民會要設這個
transcript.whisperx[297].start 9285.484
transcript.whisperx[297].end 9309.497
transcript.whisperx[297].text 所以原住民族綜合發展基金曾經高達結算數是多少呢117億7千多萬元然後因為違法挪用了中央政府違法挪用作為禁法補償之用總共違法挪用到53億多將近54億
transcript.whisperx[298].start 9314.003
transcript.whisperx[298].end 9342.109
transcript.whisperx[298].text 將近54億在這樣的一個情形之下這個結算數113年已經是累積短數68億8千多萬在這個我們立法院在第九屆第二會期第九屆第二會期做了一個結議當時民進黨在立法院是絕對多數也同意也支持這個提案
transcript.whisperx[299].start 9343.342
transcript.whisperx[299].end 9362.119
transcript.whisperx[299].text 原住民族綜合發展基金這個用在禁法補償是有違預算法及延期法而且這個決議特別提到以行政院應發款應發款這被挪用的53億將近54億這個經費如果能夠有的話
transcript.whisperx[300].start 9368.842
transcript.whisperx[300].end 9393.301
transcript.whisperx[300].text 剛講的 等一下我會接機包括後面我要講的包括住宅這新辦就有這個經費來去支應所以這個部分這個院長因為這個部分不是延民會所可以決定的預算的編列要不要增加這個公務預算來去撥補
transcript.whisperx[301].start 9395.626
transcript.whisperx[301].end 9412.218
transcript.whisperx[301].text 這個基金是行政院的前者院長是不是可以依立法院的決議發還被挪用的54億左右的經費我記得鄭委員在過去也提過這個問題
transcript.whisperx[302].start 9419.212
transcript.whisperx[302].end 9440.044
transcript.whisperx[302].text 那當初我們說這個綜合發展基金的用途如何目前有沒有發生在財務使用上的一些急迫性需求請園民會來說先做說那個這個園民會的曾志偉他已經跟我說明過很多次了事實上真的是沒有這個經費
transcript.whisperx[303].start 9442.423
transcript.whisperx[303].end 9462.88
transcript.whisperx[303].text 在運用上是真的是差很多會逐年把這個經費會補過只是說沒有辦法一下子補這麼多了會逐年都有就是說還給我們那就要請這個主委多多多多的向院長跟主計長來報告來拜託
transcript.whisperx[304].start 9467.25
transcript.whisperx[304].end 9496.617
transcript.whisperx[304].text 多撥補一點會多撥補一點對法定的基金我認為一定先維持在用途上不發生困難第二我們看國家的財政狀況如何逐年來達到法定基金的法定條件有這個基金剛講的專屬援助民主的社會住宅就會有很大的幫助我剛要講為什麼住宅法會這樣子定
transcript.whisperx[305].start 9497.185
transcript.whisperx[305].end 9515.94
transcript.whisperx[305].text 他的除了一般的安基之外最重要的就是为了教育为了教育我说个故事我刚提到了租屋补助是怎么来的是因为
transcript.whisperx[306].start 9516.772
transcript.whisperx[306].end 9545.815
transcript.whisperx[306].text 我常常在度會期拜訪我們的鄉親我從省府一直到中央服務的時候去拜訪我們的鄉親我們的鄉親因為沒有辦法租適當的房子就租一小間一家大大小小住在一起就一間晚上父母親在那邊看電視孩子在
transcript.whisperx[307].start 9546.482
transcript.whisperx[307].end 9574.916
transcript.whisperx[307].text 住在旁邊做功課還真的做功課嗎一直看電視一直聽電視對教育已經到都會期了我們過去講原住民族教育的問題過去在偏鄉是因為相關的這些資源有限已經到都會期了結果仍然沒有辦法提升原住民族的教育所以我才會提出租屋佈住
transcript.whisperx[308].start 9576.877
transcript.whisperx[308].end 9594.965
transcript.whisperx[308].text 租屋補助是這樣來的當初跟這個當時的經濟經建會當時叫經建會審查的時候做了說明也跟行政院做了說明之後很快就通過了有這個租屋補助是這樣是跟教育
transcript.whisperx[309].start 9596.422
transcript.whisperx[309].end 9623.592
transcript.whisperx[309].text 現在的話就跟以炎無患都能夠所以能夠有這個基金可以做很多事情而不是說主委我們不要這個說我現在能做多少就好所以我們要有更好的何況法律已經明定專屬的這個原住民的社會住宅會也會包括到下面原住民保留地的貸款
transcript.whisperx[310].start 9624.974
transcript.whisperx[310].end 9649.89
transcript.whisperx[310].text 你看我們這個貸款當然要謝謝主委積極的去協調相關的機關銀行信用保證作業要點定出來了現在開始實施了但是如果我們以跟其他的房貸的利率比較的話借款人 原住民保留地的借款人負擔2.72%
transcript.whisperx[311].start 9653.7
transcript.whisperx[311].end 9682.007
transcript.whisperx[311].text 人民會補貼1.28%總共4%要給銀行現在是三家銀行對不對對 4%那一般的銀行都是2%多 1%多的你看這個比較差那麼多如果我們綜合發展基金更有經費的話不一定要補貼這個利息我們用保證
transcript.whisperx[312].start 9683.365
transcript.whisperx[312].end 9712.211
transcript.whisperx[312].text 如果萬一我們的鄉親沒有還這個貸款原住民保留地拍賣只能原住民買但是如果有這個綜合發展基金跟銀行說跟土銀說我保證錢不還那他的利率自然就會降低所以這個部分都有關係因為我們這次的信用貸款的利率已經比一般的銀行要稍微低了
transcript.whisperx[313].start 9712.782
transcript.whisperx[313].end 9739.201
transcript.whisperx[313].text 那麼我還是好不容易就說我們希望原住民保留地能夠有這個價值可以去貸款主委我沒有否定這個政策很好這過去曾經有過我當副主委的時候也曾經有過是中斷了很長的時間陳水扁當總統 詹仲雄當院長的時候我們提出過也實施過但後來因為其他因素我就不多說了然後就中斷
transcript.whisperx[314].start 9740.26
transcript.whisperx[314].end 9768.463
transcript.whisperx[314].text 現在你讓他能夠恢復很好這個也是停了很久了啦現在我們要趕快來做行政院必須要給你更好的而且是依法依法原住民族基本法第18條有這個法例然後也曾經高達100多億的綜合發展基金我們把它弄回來還回來還回來之後自然你就可以
transcript.whisperx[315].start 9769.554
transcript.whisperx[315].end 9776.414
transcript.whisperx[315].text 可以更善用这个基金包括我们原住民的相关的这些住宅或是
transcript.whisperx[316].start 9777.39
transcript.whisperx[316].end 9804.881
transcript.whisperx[316].text 這些貸款甚至其他的創業貸款都會更好會更好對原住民族而言是更有幫助好不好 加油但是這個貸款其實是真的是目前來講以前沒有做過我們現在來做我相信這一定更能夠照顧我們原住民的族人至少目前的因為基金有限了所以目前的這個利率是比以前對我們原住民
transcript.whisperx[317].start 9806.141
transcript.whisperx[317].end 9826.688
transcript.whisperx[317].text 包括園民會來講都是負擔比較重的一個委員報告也希望我們的族人能夠自己我們一起提升自己的壽性條件這畢竟是貸款不是補助啦對對我知道這個我要特別跟族人特別這樣報告好 時間的關係了議題很多好 原住民自治及屠海法
transcript.whisperx[318].start 9829.238
transcript.whisperx[318].end 9856.855
transcript.whisperx[318].text 這個上一次質詢卓院長的時候在去年的10月31號質詢卓院長請行政院遵守中華民國的憲法 徵修條文然後陳水扁總統以原住民族陳水扁總統代表中華民國政府以原住民族簽訂的協定也就是條約然後原住民族基本法然後蔡總統
transcript.whisperx[319].start 9858.434
transcript.whisperx[319].end 9878.106
transcript.whisperx[319].text 向原住民族的承諾就是加快腳步將原住民族自治法及土海法送到立法院來審議行政院也曾經在105年承諾在105年的12月底以前會將土海法送到立法院
transcript.whisperx[320].start 9879.502
transcript.whisperx[320].end 9900.012
transcript.whisperx[320].text 上次質詢的時候特別請院長能夠在12月以前提出這兩個草案而現在這兩個草案都沒有當然諸位院長還會說以前送來都幾進幾出這個不能成為一個因為我上次有講
transcript.whisperx[321].start 9901.374
transcript.whisperx[321].end 9929.948
transcript.whisperx[321].text 上次送的都很晚都已經立法院要會期要這個屆期快要到了才送來曾經有一次真正在立法院有審查好 我先談在110年3月12號我質詢朱正昌前院長的時候他說我會分流立法分流立法
transcript.whisperx[322].start 9930.97
transcript.whisperx[322].end 9953.362
transcript.whisperx[322].text 我現在給院長給政務委員可以請指派政務委員來去研議跟相關部會行政院曾經在103年12月18號送了原住民主自治的暫行條例會有這個暫行條例是當時的考試院院長當時的考試院院長
transcript.whisperx[323].start 9961.024
transcript.whisperx[323].end 9988.977
transcript.whisperx[323].text 名字一下子講不起來這個他跟這個姚家文姚家文考試院院長他跟當時的孫大川擔任主任委員的時候所提的建議他提的建議是什麼呢原住民族要自治可以但是不要影響到相關尤其是花蓮台東的縣不要造成廢縣
transcript.whisperx[324].start 9990.655
transcript.whisperx[324].end 10012.734
transcript.whisperx[324].text 所以他提出了像国家公园区域的概念国家公园这样的一个区域所以行政院 人民会行政院同意就送了这个自治战刑条例在地法院审查了非常多次委员会还有朝野协商
transcript.whisperx[325].start 10014.586
transcript.whisperx[325].end 10033.708
transcript.whisperx[325].text 基本上完成協商那是很可惜沒有三讀通過可以現在可以再拿來討論他的一個逐期自治政府他不影響原來地方自治的事項華聯縣政府台東縣政府屏東縣政府的自治不影響
transcript.whisperx[326].start 10035.353
transcript.whisperx[326].end 10057.619
transcript.whisperx[326].text 他就針對傳統社會服務民族教育文化及語言自然保育原住民族土地及自然資源的管理事業經營及管理這個部分所以這個部分因為時間的關係就請這個也很複雜就請院長是不是指派政務員召集相關的部會來討論當時的草案
transcript.whisperx[327].start 10059.795
transcript.whisperx[327].end 10082.651
transcript.whisperx[327].text 怎麼樣包括立法院當時協商的一些條文的一個建議可以嗎我們會整理先請原委員把他整理出來我們整理出來跟院長報告好不好好接下來這個原住民族重大的歷史事件這個要跟院長特別來說明
transcript.whisperx[328].start 10084.955
transcript.whisperx[328].end 10107.471
transcript.whisperx[328].text 蔡總統在105年8月1號特別提到400年來每一個曾經來到台灣的政權透過武力征伐、土地掠奪強烈侵害了原住民族既有的權利總統府所設的歷史正義與轉型正義委員會的設置要點也特別提到
transcript.whisperx[329].start 10108.632
transcript.whisperx[329].end 10130.869
transcript.whisperx[329].text 要對原住民族以原住民受的侵害要立法賠償立法賠償這個原住民族重大歷史間各族群都有我們原住民族各族群都有曾經這個已經有這樣完全已經都有完全完成調查了這個當初也召開了一個發表會總統府
transcript.whisperx[330].start 10133.624
transcript.whisperx[330].end 10157.417
transcript.whisperx[330].text 行政院的政務委員、教育部、國使館都來參加好謝謝政委員好謝謝政委員,謝謝卓院長下一位我們請代會員委員質詢
transcript.whisperx[331].start 10160.199
transcript.whisperx[331].end 10171.292
transcript.whisperx[331].text 高院會現在在議場二樓旁聽席的是東吳大學政治系的同學在此熱烈的歡迎他們Welcome
transcript.whisperx[332].start 10184.434
transcript.whisperx[332].end 10198.421
transcript.whisperx[332].text 好 謝謝主席有請院長先暫時休息一下我第一題請副院長跟農業部長來跟我共同探討台灣的一個農業在未來
transcript.whisperx[333].start 10199.548
transcript.whisperx[333].end 10222.115
transcript.whisperx[333].text 不好意思 因為副院長現在總諮詢他不上台備詢副院長在總諮詢沒有 屹立沒有 只有在專案的時候好 那就院長 還有農業部長部長還有誰部長跟那個 那就院長左院長就先不要休息
transcript.whisperx[334].start 10234.813
transcript.whisperx[334].end 10253.507
transcript.whisperx[334].text 謝謝院長跟部長我想今天針對的就是農業在這一次的一個談判的議題還有未來農業的一個展望跟院長跟部長做一個探討因為本席來自於農業選區農業的一個議題跟我生活上是息息相關
transcript.whisperx[335].start 10255.268
transcript.whisperx[335].end 10267.762
transcript.whisperx[335].text 在台灣這一次對美談判 其實我們農業的一個四大目標的一個達標其實這都給我們很大的一個鼓勵跟興奮可是這個針對於外銷 外銷更有利 國產有確保
transcript.whisperx[336].start 10274.549
transcript.whisperx[336].end 10291.882
transcript.whisperx[336].text 事實上這四大目標的一個達證是不是真正的符合農民的一個需求那目標是不是就是談判前的一個設定還是談判以後的一個包裝這個四大目標如何的一個奠定還有為什麼是這四項
transcript.whisperx[337].start 10293.183
transcript.whisperx[337].end 10313.033
transcript.whisperx[337].text 那當然就是說這整個談判的過程裡頭我想也要跟那個副院長感謝就是我們整個談判的一個團隊其實整體而言就是說這個談判的過程裡頭我們對於農業的一個保護事實上是已經做到非常非常的好
transcript.whisperx[338].start 10313.593
transcript.whisperx[338].end 10328.688
transcript.whisperx[338].text 可是其實15%的關稅他還在15%的關稅還在就講說我們的蝴蝶蘭蝴蝶蘭本來是沒有關稅的消美是沒有關稅的好那現在這個不管是這個15%還是
transcript.whisperx[339].start 10332.885
transcript.whisperx[339].end 10351.078
transcript.whisperx[339].text 這個12%那外銷的關稅對內的一個發展這個是不是請部長來做一個說明好不好我跟委員說明就是在台美的對等關稅基本上我們在談判的時候我們所處的態度當初的態度就是說第一個要確保糧食安全
transcript.whisperx[340].start 10351.818
transcript.whisperx[340].end 10380.464
transcript.whisperx[340].text 第二個就是讓我們的外銷維持競爭力那第三個就是要確保農民的權益還有產業領域發展那有關於確保競爭力的部分就是我們在談的時候希望說有一些項目能夠豁免那所謂的豁免對等關稅的話就是回到它的原來的MFN那像蝴蝶籃類的話它原來就是零所以類似這樣子的話我們去爭取以後有更多的這樣的一個豁免的項目那我們在
transcript.whisperx[341].start 10381.941
transcript.whisperx[341].end 10395.735
transcript.whisperx[341].text 這個案的內容雖然說現在還沒有完全定案但是就內容來講事實上是對農業來講是一個新的機會跟一個新的契機讓我們能夠有更強的外銷的一個競爭力
transcript.whisperx[342].start 10397.776
transcript.whisperx[342].end 10416.988
transcript.whisperx[342].text 好 部長 我想就是說一個新的一個契機我們當然知道貿易的一個談判其實這是屬於非常的機密就是說事前我們也不能洩漏的太多可是這個有很大的一個困難存在那在這麼多的一個困難裡頭我們不能把底線洩漏出來
transcript.whisperx[343].start 10417.788
transcript.whisperx[343].end 10446.435
transcript.whisperx[343].text 可是如果像目前為止我們看到了這個15%的一個關稅我們其實是擔心的因為擔心什麼擔心就是說台灣的農業的一個競爭他其實面臨到一個轉型上的一個困難那這個困難該怎麼辦那我想在這裡請教部長就是說針對的就是說在這一次蝴蝶蘭還有就是我們的茶葉那用什麼樣
transcript.whisperx[344].start 10448.312
transcript.whisperx[344].end 10461.321
transcript.whisperx[344].text 現在應該談完了是不是可以講就是說下一個下一個我們在農業談判的一個國家到底是哪一個國家會是日本嗎我想知道
transcript.whisperx[345].start 10463.06
transcript.whisperx[345].end 10485.932
transcript.whisperx[345].text 我跟第一個跟委員報告就是說台美的對等關稅談判我們有一個階段就是ART的這個階段那現在美方正在確認它的一個相關的這些法律本身的一個條文的適合性那我們不會針對這個部分去把它推翻因為我剛才說了它是一個新的契機而且是一個很好的一個結果
transcript.whisperx[346].start 10486.892
transcript.whisperx[346].end 10515.971
transcript.whisperx[346].text 那第二個部分就是說現在目前的10家MFN本身是對美國對全球性的所以我們的立足點是平等的那立足點平等對台灣也是有利的那以本來的32%或20%的時候那荷蘭以胡鐵蘭講荷蘭是我們的對手他只有15%我們20%反而是沒有利的所以比起去年今年現在臨時性的10家MFN其實是對台灣有利的
transcript.whisperx[347].start 10516.351
transcript.whisperx[347].end 10535.796
transcript.whisperx[347].text 那第三個部分就是除了美國市長以外我們還會持續的開拓其他的市場那開拓其他的市場的關稅的談判就沒有像台美之間用整體性的訊談可能是一項一項談我跟你講這樣的一個用蝴蝶蘭的一個比較說法荷蘭20%然後台灣15%
transcript.whisperx[348].start 10537.476
transcript.whisperx[348].end 10562.836
transcript.whisperx[348].text 這個我聽不下去因為台灣本來是零的所以就是說在這一次的談判過程因為我們無一倖免我們無一倖免當然就是說在談判的過程裡頭是非常好的可是在所有的蝴蝶蘭的產業裡頭我們怎麼樣去補貼它這個是我們真正的要面臨到的一個問題然後我們必須要非常具體的去回復這一些廠商
transcript.whisperx[349].start 10563.576
transcript.whisperx[349].end 10588.898
transcript.whisperx[349].text 因為你知道在整個這個蝴蝶蘭的一個產業裡頭它面臨到了一個非常大非常大的一個困難因為我們沒有拿出一個具體的方法來所以相對的我現在也是要再跟院長就是再做一個請教就是說我們是不是有積極進行就是爭取進入到那個CPTTP的這一個自由貿易的組織裡頭
transcript.whisperx[350].start 10590.419
transcript.whisperx[350].end 10612.366
transcript.whisperx[350].text 如果是有的話其實我也是擔心的為什麼這個對於我們台灣的一個農業他變成就是說我們是很大的一個負擔因為我們出口的少進口的多那我的米我的稻米呢我的稻米在日本跟越南米他們不斷的精進的過程裡頭我們拿什麼去跟人家競爭
transcript.whisperx[351].start 10613.486
transcript.whisperx[351].end 10639.743
transcript.whisperx[351].text 拿什麼去跟人家競爭這個是非常重要的還有我們最大的困難在哪裡我們的虱目魚我們的養殖儀類這個是日本的一個強項萬一我們很積極的我們的談判的一個對手國跟我們要求就是我們也要適當的一個開放的時候那我們要開放什麼產業這個都是一個我們非常需要就是好好的去思維的一個議題
transcript.whisperx[352].start 10641.064
transcript.whisperx[352].end 10664.857
transcript.whisperx[352].text 那還有就是說 西木葉的衝擊是最大其實我們的豬 院長我比較不擔心因為我們台灣豬 他那個肉乾是進口的豬沒有辦法取代的可是相對的我們的雞啦我們的雞其實這個也是一個很嚴重的一個問題還有我們的公糧制度我們可能會被迫要去調整那我們有沒有準備好
transcript.whisperx[353].start 10665.305
transcript.whisperx[353].end 10672.639
transcript.whisperx[353].text 那這個是一個我想就是要在這個過程裡頭跟大家做不斷的一個提醒
transcript.whisperx[354].start 10673.336
transcript.whisperx[354].end 10702.708
transcript.whisperx[354].text 好 各位先做兩段的報告第一個是原來在談判過程當中在ART的內容我們爭取到與副院長的談判團隊爭取到美國是用IPA的這個條文給我們專屬的豁免包括蝴蝶男在內專屬豁免那現在因為經過美國最高法院的判決這個被推翻掉美國正在尋找其他的法律途徑所以他用新的122的這個條款所以這個專屬豁免就被取消掉了
transcript.whisperx[355].start 10703.248
transcript.whisperx[355].end 10719.217
transcript.whisperx[355].text 所以剛剛就是委員所說的本來是0現在變成10%在競爭力上比過去還不好所以現在我們跟美國談判最重要的原則就是我們希望極力爭取那麼也聽到美國有善意的回應我們能夠以原來的ART所談的內容
transcript.whisperx[356].start 10720.578
transcript.whisperx[356].end 10747.928
transcript.whisperx[356].text 所得到的這種相對的最佳的一些待遇我們作為未來再繼續後續在美國調整法律途徑以及後續其他法律調查的基礎希望維持在R的這個最有利的地位上面那這個我們雙方都有相當的默契當然要辛苦努力那我們正在朝這個方向來進行好 謝謝院長我只補充一件事情就是您剛才說的胡連安我們原來是零那事實上我們的競爭對手當時也是零
transcript.whisperx[357].start 10750.029
transcript.whisperx[357].end 10773.527
transcript.whisperx[357].text 那現在是10%他們也是10%所以在我們的競爭的立足點是一次的只是沒有錯增加了10%的關稅是對業者是一個負擔所以我們還是在我們的任性條例裡面的180億的這個額度之內我們還是盡量的協助業者這第一個說明第二個說明您剛才提的就是還有其他的國家譬如CPTPP本身的一個談判
transcript.whisperx[358].start 10774.227
transcript.whisperx[358].end 10801.939
transcript.whisperx[358].text 那其實在談判的過程中我們本身一定不會說全部都零關稅因為每一個國家談判的時候都有他必須要去守護著糧食安全的部分所以後續我想我們會來非常清楚補貼再補貼補助再補助所有的農業尤其是在現有的國際情勢這麼緊張其實所有的農業都是國安都是國安的一個農業
transcript.whisperx[359].start 10803.16
transcript.whisperx[359].end 10830.8
transcript.whisperx[359].text 所以我希望就是說可以再更多的補貼再更多的補助那我們現在就是說要再跟院長講到了特別講到了就是產業轉型的農業產業轉型的一個十字路尤其是養豬產業養豬產業其實我們台灣一年吃掉了700萬頭的豬那平均一天吃掉2萬頭這個是不是台灣人很會吃其實是
transcript.whisperx[360].start 10832.693
transcript.whisperx[360].end 10857.701
transcript.whisperx[360].text 臺灣豬站著我們日常生活裡頭我們非常重要的是一個食材那年產大概886億大概佔我們農林畜牧總值20%以上這是一個非常大的產業其實在這裡今天特別要跟院長來做一個探討的就是說其實時代一直在進步科技產業也一直就是在轉型
transcript.whisperx[361].start 10858.681
transcript.whisperx[361].end 10887.382
transcript.whisperx[361].text 那所有的畜牧產業其實也導入了就是一個智慧的一個養殖還有土地的成本這麼高那事實上就是說我們不希望就是每一次每一次的一個理容都是因為重大的事件發生了以後我們跟告訴他說你這個是那個所以你不能繼續吃我們是不是有一個比較好的方式就是說我們可以一先的來就是
transcript.whisperx[362].start 10887.862
transcript.whisperx[362].end 10898.832
transcript.whisperx[362].text 特別提醒他們就是說如果你們是老龍了你們沒有辦法是有一個產業規模化的時候你們應該先退場那在這裡我想要跟
transcript.whisperx[363].start 10900.578
transcript.whisperx[363].end 10925.972
transcript.whisperx[363].text 跟部長做一個部長跟院長做一個探討就是說轉型跟退場的機制有沒有辦法變形我們參考荷蘭跟德國國外的這一些資料裡頭尤其荷蘭是在歐洲畜牧蜜土最高的一個地方那他們其實通常是用什麼樣的一個方式你看到他們的一個預算也是跟我們農業部的預算差不多
transcript.whisperx[364].start 10926.832
transcript.whisperx[364].end 10950.423
transcript.whisperx[364].text 大概都是1800億可是在這個荷蘭它的離幕它有編了一個大概超過63億台幣的一個定期的一個預算預算就是說我要讓這些畜牧產業還是小規模的畜牧產業這些老農可以是以一個有尊嚴的退場
transcript.whisperx[365].start 10951.263
transcript.whisperx[365].end 10972.671
transcript.whisperx[365].text 那我想說這個是非常重要的就是也跟那個院長做一個提醒不要是每一次每一次我們的離幕政策都是一個重大事件不管是87年那個我們的口蹄疫發生還是我們97年97年的時候澎湖縣政府因為我們為了要把它
transcript.whisperx[366].start 10973.271
transcript.whisperx[366].end 10999.333
transcript.whisperx[366].text 那個發展為就是觀光跟虎島的一個有機的一個地方所以我們讓他整個就是養豬的產業畜牧的產業整個離開我想是不是應該就是說時代的變遷小型的牧場跟老龍沒有辦法符合現行的一個產業能量的時候成本沒有辦法再增加而不是出事了在虎島這個是也是跟
transcript.whisperx[367].start 11000.594
transcript.whisperx[367].end 11016.969
transcript.whisperx[367].text 院長做一個提醒這個是我們期待的還有針對的就是AI產業部長你請回我想邀請國科會跟經濟部部長針對的就是大南方大南方新矽谷的計畫
transcript.whisperx[368].start 11019.171
transcript.whisperx[368].end 11041.669
transcript.whisperx[368].text 那個院長做一個探討就是說如果我們用這個AI教護黃仁興在今年一頁在達沃斯的一個世界經濟的論壇裡頭他提出了就是說把AI的一個產業分成就是一個五成的蛋糕最上層的這個應用層其實就是我的機器人產業最重要最重要的一個實現的一個場域
transcript.whisperx[369].start 11044.127
transcript.whisperx[369].end 11070.466
transcript.whisperx[369].text 那我在這裡要跟院長做一個報告到目前為止我的六甲產業園區機器人產業園區看不到人也看不到錢所有的都移到了就是我們的那個砂輪所以這個是不是可以請那個國科會主委回答我為什麼問題會是這個樣子喊了這麼久了結果沒人沒錢結果又選團這麼好
transcript.whisperx[370].start 11073.258
transcript.whisperx[370].end 11089.371
transcript.whisperx[370].text 六甲已經啟動了現在公園院人人已經在增加當中但是我們的那個新的計劃機器人的計劃今年啟動但我們也希望說立法院趕快省這個預算讓我們的新的這個機器人的方案能夠盡快推動
transcript.whisperx[371].start 11090.051
transcript.whisperx[371].end 11109.779
transcript.whisperx[371].text 好那主委我跟你講當然也是卡在預算卡在預算也不是特別就是卡我這一條這個整個就是在野黨的卡預算已經是讓國家陷入一個這個非常混亂的一個狀況那我在這裡特別那個就是請教主委
transcript.whisperx[372].start 11110.319
transcript.whisperx[372].end 11137.291
transcript.whisperx[372].text 如果就是說我們機器人的產業如果我們是用100億的政府100億的投資那民間會多少的投資這個可以產生多少的一個產能我想聽聽看主委你怎麼樣規劃這一個產業他的KPY在哪裡智慧機器人產業就是因為要發展AIAI將來不是只有在電腦在手機上使用而是我們在各種各樣的行業服務型的機器
transcript.whisperx[373].start 11169.545
transcript.whisperx[373].end 11169.565
transcript.whisperx[373].text 好 謝謝
transcript.whisperx[374].start 11172.895
transcript.whisperx[374].end 11183.1
transcript.whisperx[374].text 謝謝王委員 謝謝卓院長報告院會上午質詢到此為止另外依協商結論本次會議不處理臨時提案下午2點30分繼續開會進行質詢現在休息
transcript.whisperx[375].start 12188.469
transcript.whisperx[375].end 12188.551
transcript.whisperx[375].text 谢谢大家
transcript.whisperx[376].start 17879.558
transcript.whisperx[376].end 17879.944
transcript.whisperx[376].text 由 Amara.org 社群提供的字幕
transcript.whisperx[377].start 21424.469
transcript.whisperx[377].end 21451.54
transcript.whisperx[377].text 卓院長 政府院長 各位午安我們現在繼續開會進行諮詢下面我們請盧憲一委員請諮詢柯政委員請準備院長有請行政院長衛福部長及原住民委員會主委請卓院長衛福部長原住民
transcript.whisperx[378].start 21453.186
transcript.whisperx[378].end 21482.222
transcript.whisperx[378].text 主委原住民委員會主委備詢主委好好 院長好那首先我先謝謝大概3月初的時候我有去原住民委員會針對我們PRIDE年底要在桃園市舉辦我跟原住民行政局的局長一起拜會我們
transcript.whisperx[379].start 21482.842
transcript.whisperx[379].end 21499.855
transcript.whisperx[379].text 原住民主委希望能夠支持這項會議在年底的舉行也就是泛太平洋地區的醫師的聯合大會那也希望衛福部可以支持我在隔了兩天以後我跟外交部的人員也跟原住民醫學會的理事長有做一個視訊會議
transcript.whisperx[380].start 21501.098
transcript.whisperx[380].end 21517.059
transcript.whisperx[380].text 希望他的補助能夠比照上一屆的在澳洲舉行的那個金額那也希望我們市部長能夠支持這項會議講到這個一個契機就是說這次我們要辦這個世界原住民醫學的大會在台灣
transcript.whisperx[381].start 21517.964
transcript.whisperx[381].end 21542.995
transcript.whisperx[381].text 可是看到我們現在治理我們原住民主健康的一個單位還是在我們所謂的科級的一個層次也就是在我們的護理及健康照護師這樣一個底下的一個規格那可以看到你要跨部會的一個整合比如說我們現在要拜會人民會我們要拜會外交部要拜會一些相關的閣員的時候是不是如果一個科的層級確實是沒有辦法來處理這樣的一個事情
transcript.whisperx[382].start 21544.196
transcript.whisperx[382].end 21556.512
transcript.whisperx[382].text 我們就平均裡面來看我們現在是6.98歲根據澳洲的研究是每10年大概會縮減一年不過按照我們國人的努力我相信這個進度會更快一點
transcript.whisperx[383].start 21558.104
transcript.whisperx[383].end 21572.522
transcript.whisperx[383].text 當然我們要處理的問題就是原鄉醫療巡迴服務健康處健文化健康站這些種種的一些問題我相信我們醫護人員真的是非常的辛苦那我想請問部長這方面有沒有一個時間表給我
transcript.whisperx[384].start 21574.795
transcript.whisperx[384].end 21602.024
transcript.whisperx[384].text 跟委員說明 確實如剛剛委員提到的過去原民大概跟我們的平均餘命相差大概是10歲左右在103年的時候那到113年的時候我們已經縮短到7歲所以我們確實在過去這幾年有努力的在縮短這間的差距那當然在因應著這個少子女化跟這個
transcript.whisperx[385].start 21603.12
transcript.whisperx[385].end 21629.074
transcript.whisperx[385].text 高齡化的社會我們在做這個主改那在這個組織改造的過程當中也會做內部的任務的調整那麼原本我們的這個護理及健康照護師裡面的也有這個專門負責3D理導科那未來我們會去強化在這個援助民族健康的部分的這個責任跟任務所以請您放心我們會來強化
transcript.whisperx[386].start 21631.278
transcript.whisperx[386].end 21641.731
transcript.whisperx[386].text 對 那常常會有人說就說可能是不是原住民族已經被涵蓋在各項的一些福利裡面比如說兒少、長照這些那我是希望說講清楚就是說
transcript.whisperx[387].start 21642.628
transcript.whisperx[387].end 21669.564
transcript.whisperx[387].text 就算說這些都涵蓋了可是我們的特殊需求還是沒有被處理所以才會有這些健康不平等的現象產生所以我還是希望有一個時間表希望在這個會期至少可以達到一個師的規格然後希望在近幾個月看看部裡面能不能有一個期程就是說就往署的方向來規劃當然裡面可能要解決的就是一些法源這些組織要怎麼弄一些員惡預算要怎麼整合這些部分
transcript.whisperx[388].start 21669.943
transcript.whisperx[388].end 21697.545
transcript.whisperx[388].text 我相信邊走邊看我是覺得說應該可以朝這個制度來走可以嗎好我們來朝這個方向提升這個他的這個專責的程度現在我們還有一些研究單位在國衛院可是國衛院今天沒有來那我知道他今年的預算是2500萬我想知道這2500萬是以後是固定有還是每年還是要去跟爭取呢這個是基本額度啦就是我們會建立這個原住民族健康的資料庫還有他也會有這個
transcript.whisperx[389].start 21698.936
transcript.whisperx[389].end 21727.496
transcript.whisperx[389].text 納入原住民族相關的專家或者是代表有一些計畫就是原住民族健康議題的計畫的身體像今年我們就有合訂六個計畫除了資料庫的建立這個大概每年都會持續的維護跟擴充另外就是針對議題性的跟學者專家來合作提升原住民族相關的研究跟轉譯
transcript.whisperx[390].start 21728.424
transcript.whisperx[390].end 21748.625
transcript.whisperx[390].text 因為我知道專門的研究人員像只有一名那我想知道說這個研究題目誰要決定這個判讀是如何解讀然後政策是誰要來做一個所謂的一個拍板定案那我是覺得原住民委員會的這個角色在哪裡好 跟委員說明在我們這個原住
transcript.whisperx[391].start 21749.11
transcript.whisperx[391].end 21776.937
transcript.whisperx[391].text 民族健康委員會我們在部裡面有設一個原住民族健康委員會委員會下面就設了四個組中間有一組就是調查研究組還有一個叫做中長城計畫組所以現在我們正在擬定下一期的中長城計畫所以也都會先經過這個原住民族健康委員會政策之一會這下面先討論之後才會提出來那研究的題目也是一樣會在這個會裡面先去討論
transcript.whisperx[392].start 21778.09
transcript.whisperx[392].end 21805.52
transcript.whisperx[392].text 我們常常被人家詬病就是我們常常我們的所檢查的項目跟一般漢民族跟我們的主流社會是一樣的可是明明我們的疾病形態跟基因形態本來就不同所以這些原住民族的健康資料庫有沒有真正進入決策這個部分然後做事實的修正或者說癌症的篩檢有沒有事實的導入應該是更貼近原住民的需求這個我希望部長跟原民會這邊能夠可以做一個連結
transcript.whisperx[393].start 21806.44
transcript.whisperx[393].end 21834.138
transcript.whisperx[393].text 有有有 這個我們有連結舉個例來講我們在做幽門螺旋菌篩檢我們就發現在原民部落的代菌率比較高所以我們一開始的這個前驅試驗前驅試驗就是在原鄉開始推動那今年我們是擴大到全部的各鄉鎮所以這個就是我們當時候一開始就發現有這個差異性所以我們就會把它提為這個優先的這個示範或者是推動對象
transcript.whisperx[394].start 21835.447
transcript.whisperx[394].end 21857.015
transcript.whisperx[394].text 不知道從什麼時候開始尿酸檢查就不再列入為全民健檢的一個項目可是大家都知道原住民族的尿酸值本來就比較高可是沒有這項檢測以後醫師還要特別再去找一個項目去勾選這樣會浪費時間我是覺得說就原住民地區應該就普遍要篩檢我們的尿酸值到底有多高
transcript.whisperx[395].start 21857.535
transcript.whisperx[395].end 21873.409
transcript.whisperx[395].text 那所以我剛才所說的比如說資料研究政策預算四散分離啦所以我還是希望說把我們的成績可以提高我們在做溝通的時候會比較容易 可以嗎好 我們來努力 微博部長請回好 謝謝何言下面我們請農業部長麻煩請農業部長備選
transcript.whisperx[396].start 21893.788
transcript.whisperx[396].end 21916.375
transcript.whisperx[396].text 針對台美的對等貿易協定我知道國家做了很多努力可是就偏向來說我想知道農業部的一些態度就是說我們有沒有單獨盤點比如說我們原鄉的農場蔬果高山茶、咖啡、紅莉、小米、樹豆部落加工等等我覺得有沒有一個獨立的窗口在做這樣的事情
transcript.whisperx[397].start 21917.609
transcript.whisperx[397].end 21936.986
transcript.whisperx[397].text 我跟委員報告就是原鄉本身的這些作物通常都是很具有特色的這些作物那這些作物我想我們都一直持續的在輔導我們成立了一個原住民的一個技術栽培的一個輔導團隊那這個團隊本身針對不管是紅藜或是小米或是你剛才講的這些
transcript.whisperx[398].start 21938.207
transcript.whisperx[398].end 21950.402
transcript.whisperx[398].text 總統的地方特色作物我們都希望種了以後後面要有通路所以我們一直媒合了這些原住民特色的產品而且給他一些品牌的特色然後銷到後面的市場
transcript.whisperx[399].start 21951.721
transcript.whisperx[399].end 21976.617
transcript.whisperx[399].text 那就原民會這邊我知道我們有原住民族農產消極價值輔導計畫還有我們所謂的原住民族經濟永續發展計畫對不對那我知道個人是補助20萬那如果是團體的話是補助200萬那是最高對那我想知道說這樣這個國際變遷這些計畫裡面有沒有哪一條是可以處理我們這次的貿易衝擊有沒有可以直接處理我們偏鄉的一個運輸的補貼
transcript.whisperx[400].start 21980.014
transcript.whisperx[400].end 22001.107
transcript.whisperx[400].text 印書的補貼我們這個主要是在補助就是說你有一些機器比如合作社需要一些機器他要買一些機器而且是比較適合我們原鄉的一些機器我們有這樣的補助我知道所以我說這些計畫裡面我看看了一個大概是有低碳示範產業推升創新成長這些包裝設計
transcript.whisperx[401].start 22003.769
transcript.whisperx[401].end 22017.735
transcript.whisperx[401].text 如果沒有做貿易衝擊防護,也就是說沒有作物保護,也沒有偏鄉運輸補貼的話,我覺得這次的衝擊沒有真正落實到安全網這樣的一個概念。
transcript.whisperx[402].start 22018.94
transcript.whisperx[402].end 22038.054
transcript.whisperx[402].text 這我們可以考慮把它加進去所以我希望能夠做到兩件事情就是修正我們原住民族永續發展計畫跟農產運輸加值輔導計畫的補助指標第二個就是把貿易衝擊防護及偏鄉運輸補貼正式納入這樣的話就可以跟農業部共同提出原鄉產業的衝擊評估不過委員跟委員報告原鄉的這些農產品
transcript.whisperx[403].start 22043.658
transcript.whisperx[403].end 22069.614
transcript.whisperx[403].text 在他的這個生產的品項當中外銷的比例並不是頂高所以我們認為衝擊不是頂大但是農業部還是有相關的整個支持的措施但會影響比較大的可能都是旅遊文化這一類的民間消費所以對於交通的部分我們在原鄉也有幸福巴士幸福小巴的這些現有的措施可以來補助一些關於旅遊上面在或者是從業的司機
transcript.whisperx[404].start 22072.015
transcript.whisperx[404].end 22092.906
transcript.whisperx[404].text 這個運輸業者他們在這個油價差額上面的一些補貼那這個都是有的只是說農業本身應該沒有那麼大的衝擊但是旅遊文化其他相關的消費我們還是會有一些補助的措施對我們因為我們相對比較小以示弱勢所以我常常會講說這樣的話他有沒有資格去申請那個300億的所謂我們的農安基金啊那這樣的話
transcript.whisperx[405].start 22093.766
transcript.whisperx[405].end 22103.739
transcript.whisperx[405].text 是不是有沒有一個獨立的審查標準原鄉的傳統作業的什麼類別有沒有數據可以證明說有些名單上面真的可以對原住民原鄉有利
transcript.whisperx[406].start 22105.067
transcript.whisperx[406].end 22132.748
transcript.whisperx[406].text 我跟委員報告現在農安基金300億並沒有正式的啟動會等到整個台美的關稅很確定的以後但是在特別預算裡面有我們有180億的這個基金那這個部分針對主要外銷的部分那您剛才講的原民的部分如果有一部分是有牽涉到外銷的部分那就可以用這樣的方式來協助好那謝謝那我們請農業部長請回那請交通部長請交通部長
transcript.whisperx[407].start 22144.669
transcript.whisperx[407].end 22171.674
transcript.whisperx[407].text 部長好我們現在大概就是在偏鄉的話就是有幸福巴士偏鄉MARS這些彈性的預約服務所以涵蓋率已經到95%以上雖然我們感覺現在是進步很多我還是想要知道說我們人要移動農產品也要移動是不是我們這個冷凍鏈或者是說我們的人到得了醫院這些規劃裡面有沒有在你的這個進程的一個計畫裡面
transcript.whisperx[408].start 22173.479
transcript.whisperx[408].end 22196.044
transcript.whisperx[408].text 像委員報告交通部負責的是民眾的移動包含剛剛院長所說的觀光客的移動這個部分我們會有一些計畫包含幸福巴士在內我們偏鄉也確實很多的小朋友跟老人家透過幸福巴士獲得很好的公共運輸的服務這個部分我們的補貼都有但是對於冷鏈的部分目前不在交通部的業務範圍裡面
transcript.whisperx[409].start 22197.028
transcript.whisperx[409].end 22226.009
transcript.whisperx[409].text 那我有一個構想叫客貨供載還有什麼我們就醫的這些交通車是我們目前有在討論這個方向就是說因為有時候只有載人上面還有一些空間那如果有需要載貨的話這個目前也在我們檢討的範圍裡面我們希望能夠靠客貨供載讓整個車輛的運用的這個效率可以更高那可以有更多的車輛願意到偏鄉去不管是載人或者是載貨這方面的協助我們是會來做的
transcript.whisperx[410].start 22226.59
transcript.whisperx[410].end 22234.959
transcript.whisperx[410].text 因為這方面是最困難的也是最不符合經濟效應的如果說你又把它推回地方政府的話我相信這個又會石沉大海
transcript.whisperx[411].start 22235.868
transcript.whisperx[411].end 22261.165
transcript.whisperx[411].text 其實幸福巴士這個案子呢地方政府是主管單位但是補助的部份交通部會來補助那目前我們也希望地方政府可以朝向客戶供載的這個方向如果在這個民眾搭車的過程當中能夠安全獲得保障我們希望能夠朝向這個方向那我們也會積極來跟地方政府來溝通好 那我就希望是原鄉偏鄉有車可以坐然後農產品可以走得出去病人到得了醫院
transcript.whisperx[412].start 22261.738
transcript.whisperx[412].end 22266.845
transcript.whisperx[412].text 然後我們的物流成本不至於壓垮我們的本地的產業這樣謝謝請回有請我們環境部長麻煩請環境部長備詢
transcript.whisperx[413].start 22286.241
transcript.whisperx[413].end 22298.952
transcript.whisperx[413].text 部長好最近去了環境部一趟就是針對我們返山的崩電案那知道有重啟那個出省的一個補正再省的一個問題那我想知道你目前的態度是怎麼樣
transcript.whisperx[414].start 22300.038
transcript.whisperx[414].end 22320.849
transcript.whisperx[414].text 包委員現在如果說這個風電離岸風機陸域風機離居民的住宅500公尺以內那一定要環評那我們現在的態度是如果是跟民眾有關那當然一定會嚴格把關所以這個目前來說的話還在審核當中所以我們現在基本上也會幫屏東的民眾等於是關注這個事情
transcript.whisperx[415].start 22321.485
transcript.whisperx[415].end 22337.552
transcript.whisperx[415].text 我先肯定環評委員他這次是有注意到就是說應該是不是有部落的智商同意啊那鳥類生態的調查是不是有一些落差針對一些低頻噪音一些什麼遜影效應對鄰近民眾跟學校的一些影響我當初我有去參加他們的一個說明
transcript.whisperx[416].start 22338.853
transcript.whisperx[416].end 22357.403
transcript.whisperx[416].text 我們還是覺得說部落同意這個部分的形式上是不是太過簡單所以我一直希望原民會能不能訂定一個標準你什麼時候要去介入因為通常這種關係部落誰來召集程序要做到什麼程度我覺得你要說服當地的民眾
transcript.whisperx[417].start 22358.504
transcript.whisperx[417].end 22368.551
transcript.whisperx[417].text 我們會裡面我們已經明確的要求這個開發單位他應該要依原住民主基本法第21條的相關規定那必須要辦理諮商同意的程序
transcript.whisperx[418].start 22369.537
transcript.whisperx[418].end 22388.755
transcript.whisperx[418].text 那我們知道這個範圍應該就是指的獅子鄉的風鈴部落跟他上面的那個單路對 那這兩個部落是關西部落就必須要跟他們就是要開部落會議要取得就是希望來諮商同意這個我們有明確啦
transcript.whisperx[419].start 22389.575
transcript.whisperx[419].end 22414.394
transcript.whisperx[419].text 有明確的要求這個公司我希望反三封電案它是一個很重要的契機因為它剛好是在漢元的一個生活領域裡面它有獅子鄉 有反三鄉所以如果把這件事情處理好或者說可以做以後類似像這樣的一個案件的一個所謂的指標那如果真的以後確實有興建的話你們到底是做了哪些努力我覺得這個方面也讓國人知道如果就針對傳統領域這樣的重大開發
transcript.whisperx[420].start 22416.776
transcript.whisperx[420].end 22431.797
transcript.whisperx[420].text 你確實讓每一個在地的生活的族人理解這個國家要綠電要怎麼樣國家的發展可是對他們的生活的影響的層面要達到最低這些前前後後要做的努力我相信那個環境不可以做把關
transcript.whisperx[421].start 22433.199
transcript.whisperx[421].end 22455.055
transcript.whisperx[421].text 還有一個就是他們風港溪種植西瓜60年的這個案件現在屏東縣政府大概也做了一些初步的一個裁釋可是在相關的網頁上面沒有看到所謂的裁罰跟查處結果跟改善清單所以我希望行政院能夠責成屏東縣政府能夠對風港溪的查處有一些
transcript.whisperx[422].start 22456.495
transcript.whisperx[422].end 22482.424
transcript.whisperx[422].text 時程表或者說退場的一個機制第二就是說如果確實他沒有辦法遲遲未做改善的話他總不能一直讓那個地區的民眾一直在享受那樣子的一個蒼蠅跟惡臭嘛能不能依照地方制度法第76條來啟動後續監督或是代行的程序第三個在國有登記完成之後國產所對戰友的清償補償金騰空返還以司法處處理時間表也要一併公開
transcript.whisperx[423].start 22484.604
transcript.whisperx[423].end 22510.211
transcript.whisperx[423].text 這個我們會裡面跟縣府的 屏東縣政府的延命處我們一直有在處理這個事情也很明確的就是告知我們公所有一些部分該停就是停所以我們並沒有說這個事情我們會一直來協助解決那個地方這個西瓜的那個部分當然有一些地也不是原住民保留地那應該是這個國有災難期的土地一樣
transcript.whisperx[424].start 22511.191
transcript.whisperx[424].end 22539.383
transcript.whisperx[424].text 縣政府也是會一併來一起處理希望不要造成我們的族人很大的困擾如果確實要出租的話他應該就部落傳統領域的話應該還是要取得部落同意的參與最後就是我還是希望原居法能夠長出制度的牙齒因為我們一直在講原居法第21條結果每次遇到這種開發案的時候地方政府或者是主管單位就是三推四推
transcript.whisperx[425].start 22540.123
transcript.whisperx[425].end 22564.426
transcript.whisperx[425].text 一直在拖延然後邊開會邊補正然後一直很像在騙主任那個把戲不斷的上演我希望園民會能夠站在這個主管機關的角色來確實把這件事情做好會我們會跟縣政府全力來配合協助好謝謝我們環境部長好謝謝第四個請公共工程委會主委請公共工程委陳主委備選
transcript.whisperx[426].start 22581.499
transcript.whisperx[426].end 22600.834
transcript.whisperx[426].text 好 主委好我們這次馬太案的重建就是中央變了300億的特別預算嘛那我們之前有講到一個名利村的教訓就是說其實他們明明地方政府都已經有在警示希望能夠趕快處理那個潰堤的風險不過它還是發生了所以我認為
transcript.whisperx[427].start 22601.855
transcript.whisperx[427].end 22629.593
transcript.whisperx[427].text 我希望這個工程會跟水利署能不能提出地方市井納入中央評估的一個具體SOP也就是說你地方通報之後中央多久會看誰來判斷何時補正最後誰拍板負責拍板因為名利村的這個教訓已經很清楚沒有把在地的知識放進去的專業可能就是盲目的專業報告委員名利村原來那裡有一段是沒有堤防但是因為井林比較有一個小山
transcript.whisperx[428].start 22630.817
transcript.whisperx[428].end 22648.823
transcript.whisperx[428].text 所以在鳳凰颱風的時候水有溢過去所以透過排水然後進入名利村不過那部分現在提防已經做好了而且做得相當高那至於整個撤離市井的部分相關機關包括農衛部會委託幾個大學在模擬
transcript.whisperx[429].start 22652.474
transcript.whisperx[429].end 22676.554
transcript.whisperx[429].text 當有一些指標比方說這個氣候啊下雨量啊有些指標到達某種警示程度的時候就要啟動撤離的這些動作這個都有持續在進行中對那我希望主委能夠把我們地方市警納入中央的一個SOP好不好地方市警地方市警以後你要納入中央的一個
transcript.whisperx[430].start 22677.255
transcript.whisperx[430].end 22692.477
transcript.whisperx[430].text 評估的一個時間表有 它這個相關學術單位都有在模擬這個要撤離的相關的這個指標不過整個撤離的工作還是屬於地方政府要撤離的
transcript.whisperx[431].start 22693.103
transcript.whisperx[431].end 22717.922
transcript.whisperx[431].text 我看了1月14號有一個工程機制第11502-00024這個函向立法院提出書面報告也就是行政院在公告災區範圍的時候有把秀林鄉跟濁瀉鄉納入災害認定的範圍這是遲來的正義不過納入災區以後我想知道這兩項的實質重建的資源在哪裡是從現有的270億執行額度去運資還是要動用到保留額度
transcript.whisperx[432].start 22719.984
transcript.whisperx[432].end 22738.984
transcript.whisperx[432].text 271裡面都已經有各部會他有提出計畫來那麼這裡涵蓋了光復鄉還有鳳林還有萬榮那麼都有包括在內所以我們秀林跟濁西沒有秀林鄉跟濁西鄉沒有嗎秀林鄉
transcript.whisperx[433].start 22740.711
transcript.whisperx[433].end 22754.107
transcript.whisperx[433].text 跟馬太岸 這是馬太岸的特別預算沒有包括秀林鄉你們有公告的災區範圍那災區它有可能就是比方說鳳凰颱風或其他颱風公告為災區嘛有工程會來審的一個災區受損的
transcript.whisperx[434].start 22758.132
transcript.whisperx[434].end 22784.139
transcript.whisperx[434].text 工程這個是由中央統籌分配稅款來支應的不是用特別預算因為這兩個所兩個相關所他們想知道他們自己可以動之多少他們被納入是不是只上作業而不是這個他們應該透過摘損要透過縣政府來報到工程會工程會會跟相關主管部會那麼現場去看那麼到底需要多少錢那麼就會由中央統籌分配稅款來核定
transcript.whisperx[435].start 22785.475
transcript.whisperx[435].end 22803.464
transcript.whisperx[435].text 就是根據他們12月23的一個光復鄉的說明會他們我們大概歸納一些民眾的意見就是說第一個土地安置的決策要程序要多久是要去哪裡申訴他條件是什麼所謂土地安置就是說我們的徵收啊一地一地一地復耕永久安置這些問題
transcript.whisperx[436].start 22804.52
transcript.whisperx[436].end 22821.527
transcript.whisperx[436].text 中基屋那麼已經有進駐了目前有41戶那麼原民的部分原民會已經在發在招標會在另外再興建這個中基屋至於徵收土地的部分呢農業部已經在當地辦過說明會大約有160幾公頃會由這個農業部來架構那麼這個架構
transcript.whisperx[437].start 22829.373
transcript.whisperx[437].end 22851.804
transcript.whisperx[437].text 之後上面的房屋也會補償至於有的民眾表示他希望以地異地要繼續耕種我們事後也會尋找相關台廠的農地開始用租的或以地異地讓希望繼續耕種的農民有耕種的地方
transcript.whisperx[438].start 22853.64
transcript.whisperx[438].end 22867.023
transcript.whisperx[438].text 我想知道一些農商損 設備補助 租金跟金融支持合了幾件有沒有被推薦 推薦的原因是什麼單一窗口在哪裡這個相關的補助有經濟部 有農業部農部大概針對農損經濟部的部分是針對生產器具
transcript.whisperx[439].start 22874.525
transcript.whisperx[439].end 22894.188
transcript.whisperx[439].text 那交通我們現在的汽車機車都有這個報費的補助所以都按照相關的法規來辦理所以有單一窗口都有單一窗口而且我們是到目前為止還有一個工作站在光復火車站旁邊隨時會受理民眾的申請
transcript.whisperx[440].start 22895.873
transcript.whisperx[440].end 22913.2
transcript.whisperx[440].text 就針對原民會這邊原住民的程序保障的一個補正表就是說哪些項目涉及原住民族部落哪些工程有沒有根據原住民族基本法第21條來啟動諮商統一哪些已經有開始還是沒有開始由誰來負責
transcript.whisperx[441].start 22915.805
transcript.whisperx[441].end 22938.725
transcript.whisperx[441].text 當然會依這個相關法律啦那諮商的部分是涉及開發的時候那因為目前我們還沒有說要取得土地去開發啦所以還沒有這個諮商啦但是呢因為這個是災後的重建跟復原那麼如果按災防法的話那麼可以
transcript.whisperx[442].start 22940.706
transcript.whisperx[442].end 22966.055
transcript.whisperx[442].text 這個算是臨時的措施可以不適用相關法律包括區域計劃法 環評法 甚至園民法這個都可以排除不過目前我們並不是要進行開發行為只是災後復原重建所以目前園民的部落都有代表可以參加我們擴大匯報所以所有的聲音意見都會反映在中央的協調匯報
transcript.whisperx[443].start 22969.166
transcript.whisperx[443].end 22995.502
transcript.whisperx[443].text 除了這個特別在研閩會的部分就是有關修善這個住宅期間臨時安置的處所我們有10戶大概在信息之前就可以入住就可以完工還有在舊的東富國小那邊我們也在改善這個短期收容安置所也預計在4月30號就會完工那特別在研閩會這裡我們也有編列4.6億的特別預算
transcript.whisperx[444].start 22996.042
transcript.whisperx[444].end 23018.137
transcript.whisperx[444].text 我們主要的工作是在做家園的重建還有基礎設施還有產業的復原我們現在都在執行當中那我是希望可以讓災民看懂安置補助風險跟程序不然會有很多感覺會是一個黑箱作業好不好讓災民知道確實掌握資訊謝謝工程會主委請回
transcript.whisperx[445].start 23021.989
transcript.whisperx[445].end 23050.81
transcript.whisperx[445].text 最後就是建法補償的問題那建法補償的問題就是我們針對它因為它不是社會福利可是它列入動產這是一個雙重的懲罰我們認為說所有應該不要把這個這筆錢當作是當作是一個砍掉弱勢家庭社福資格的刀那我相信我們的本意不是這樣結果到最後來的韓式比如說像衛福部的一個韓式是列入動產
transcript.whisperx[446].start 23051.874
transcript.whisperx[446].end 23074.91
transcript.whisperx[446].text 那結果列入動產的時候在社會救助資格審核的時候就會因為這樣就被排除在外我想知道主委的態度我想這個當然站在族人的立場我們不希望說這個進化補償變成是這樣子的一個會讓我們的族人喪失了中低收入戶的這個資格那在
transcript.whisperx[447].start 23076.06
transcript.whisperx[447].end 23103.614
transcript.whisperx[447].text 這個慶年底我們就邀請國務部、衛生福利部還有財政部等相關的部會就這個部分我們來進行研商那我們也把中低收入這些名單這個名冊我們也送給衛生福利部請他來勾結那後續評估政策檢討還有法規四次的依據都會依據這個我們一定會站在就是說不希望這樣的一個這個精華補償反而造成族人的困擾
transcript.whisperx[448].start 23104.741
transcript.whisperx[448].end 23110.413
transcript.whisperx[448].text 那當然有一個方法就是如果不多不是很多其實你如果你的帳戶你趕快領出來
transcript.whisperx[449].start 23113.1
transcript.whisperx[449].end 23135.097
transcript.whisperx[449].text 我都是這樣跟族人講的你不要一直放在裡面放在裡面錢也不會變多多少所以這也是跨部會的矛盾因為衛福部的一個函式就上面寫就是考量計法補償非經常性收入非屬社會救助性質一列於家庭財產之動產那我是覺得你這樣子的話你再申請這些
transcript.whisperx[450].start 23136.004
transcript.whisperx[450].end 23157.729
transcript.whisperx[450].text 我們的社會救助的話就沒有辦法被列入這個我們會注意因為這個我們特別注意這個跟委員說明可以設定一個門檻我們當然希望省過全國的弱勢的經濟弱勢朋友們的夥伴們國人們都能夠得到十足的照顧但是禁法補償它基本上它要有土地那土地已經列為個人家庭的不動產
transcript.whisperx[451].start 23158.909
transcript.whisperx[451].end 23184.273
transcript.whisperx[451].text 所以淨化補償因而產生的這些補償費用就視為是家庭財產的一部分那為了要全國的公平性而言那如果因為有這個土地這麼大的土地又拿到了相當的淨化補償那麼他已經不屬於社會經濟上的弱勢那政府就不需要重複的支援但如果同樣的情況之下他在領取淨化補償之後他仍然達到這個標準那當然無庸置疑
transcript.whisperx[452].start 23184.753
transcript.whisperx[452].end 23203.463
transcript.whisperx[452].text 但是我們這個一定要看個案來做處理那基本上要衡量全國這種公平性 衡平性的原則這個請委員能夠理解當然知道 只是說我是覺得應該設一個門檻會比較可以門檻都有的是嗎都有我看很多人來辦公室求救的就是說他們明明就是
transcript.whisperx[453].start 23204.363
transcript.whisperx[453].end 23220.928
transcript.whisperx[453].text 沒有領的很多結果就沒有辦法再申請我們的中間低收入貨幣價值他如果還沒有達到那個標準當然無庸置疑他仍然是屬於經濟上的弱勢那如果他有比較大的土地也達到了比較多的補償那是不是政府就應該把這樣的力量去幫助那些更需要幫助的人
transcript.whisperx[454].start 23222.148
transcript.whisperx[454].end 23238.022
transcript.whisperx[454].text 那我今天帶的這個牌子叫做請不要繞過原住民原住民是最好客的常常希望你到家裡來坐坐可是看到國家常常面對我們的政策的時候就會繞過去的時候這種感覺會很心酸我相信主委能夠體會我所說的意思
transcript.whisperx[455].start 23239.202
transcript.whisperx[455].end 23262.937
transcript.whisperx[455].text 原住民在國內現在你看我們這次的Team Taiwan棒球隊裡面有16個原住民他是國家重要的資產在各個領域上面都有非常傑出的表現而且現在大家也願意跟大家以原住民朋友來作為更好的夥伴來相處這個是非常好的一個文化進步好 我們一起為原住民努力謝謝 謝謝委員好 謝謝盧憲毅委員質詢謝謝卓院長 各相關部會首長備詢 謝謝
transcript.whisperx[456].start 23268.647
transcript.whisperx[456].end 23281.234
transcript.whisperx[456].text 歡迎我們一場二樓旁聽的來自台北市中輪高中葉家欣老師帶領的所有同學我們掌聲歡迎大家接下來請柯志恩委員質詢 劉建國委員請準備好 謝謝韓院長 我們再請卓院長麻煩再請卓院長備詢
transcript.whisperx[457].start 23296.687
transcript.whisperx[457].end 23300.449
transcript.whisperx[457].text 我想我們應該還是要請經濟部長也請經濟部長謝謝各位好院長好部長好我想這個中東戰爭大家最擔心當然就是有能源供應的問題那目前為止是不是我們在3月跟4月有關於天然氣的調度問題目前為止我們應該不用太擔心吧
transcript.whisperx[458].start 23320.368
transcript.whisperx[458].end 23346.039
transcript.whisperx[458].text 對 已經都解決了你都解決了 五月也是嗎五月份正在 五月份因為有八條船會原來會經過橫浦市海峽那現在我們大概升下五艘現在還持續在那個還在持續 但到四月底之前這個我們是國人不用太擔心的嘛現在比較大的問題就是來自於因為你要用現貨來調度所以說這個成本會增加可以告訴我們跟一般比起來這個成本增加多少嗎
transcript.whisperx[459].start 23347.476
transcript.whisperx[459].end 23360.175
transcript.whisperx[459].text 平均大概一艘船可能會到8億到10億之間8億到10億之間那這樣的部分裡面是不是也要由我們中油來做這樣子的是不是要由中油來吸收這個經費
transcript.whisperx[460].start 23364.934
transcript.whisperx[460].end 23392.013
transcript.whisperx[460].text 為什麼要這樣問部長原因很簡單因為中油好不容易今年由虧轉盈還可以盈餘的八十多億那這樣一補起來這個中油又要變成連七年都要虧損但是如果說沒有中油來吸收的話它會轉嫁到人民身上這整個通膨可能跟世界性一樣都會造成一大損失所以我們要問是不是到最後都是由中油來吸收我們大概事實上是以穩定物價為主這個部分
transcript.whisperx[461].start 23392.574
transcript.whisperx[461].end 23395.075
transcript.whisperx[461].text 那當然就是說如果要反映價格的部分的話
transcript.whisperx[462].start 23396.091
transcript.whisperx[462].end 23422.82
transcript.whisperx[462].text 民眾是保障民眾當然保障民眾很重要不過我就說從這個部分裡面我們就可以知道機載電力是非常重要的所以我們要回到我們最根本的一個能源問題我想這個非核家園這個部分大家已經講走了非常多的路了那我想請問一下院長非核家園到目前為止我們連SMR這個新核能終於出現了符合社會世界的一個趨勢這個改變是不是來自於美國的壓力
transcript.whisperx[463].start 23423.9
transcript.whisperx[463].end 23452.035
transcript.whisperx[463].text 那並非在去年的5月17號和三長二號集會之後我們就進入到一個沒有核能的時代不是因為為什麼要特別這樣子問其實因為過去長期的你們擁抱著這樣子的一個神主牌突然之間冒出這個新的核能這個部分所以中間一個轉折的關鍵點到底在什麼我們很想了解目前是走上一個正規我們給予肯定但是這個轉節點到底突然之間就變成這樣讓我們有點措手不及
transcript.whisperx[464].start 23452.677
transcript.whisperx[464].end 23475.593
transcript.whisperx[464].text 就法律面而言是核管法修正之後我們對於核能電廠是不是能夠重新啟用這個新的時程上的實現實際上你所提出的三個前提過去也是這樣講可是你這個三個前提當中的話你有沒有社會共識有沒有回歸安全每個人都這樣講但是過去在蔡政府時代的時候還是抱著這樣子的一個神主牌
transcript.whisperx[465].start 23476.013
transcript.whisperx[465].end 23487.618
transcript.whisperx[465].text 现在目前来说我们就论事好了那我想请问一下院长目前来说的话你是不是要把这个行政院的非核家园推动小组是不是因为要再重启核二核三然后要解散
transcript.whisperx[466].start 23488.955
transcript.whisperx[466].end 23515.663
transcript.whisperx[466].text 並沒有要解散哪一個小組就像核三廠它除役之後它所有的人我們還是希望台電能把他留下來這是組織上面的問題那還好如果是這樣子的話那原能會從二級單位被降為三級單位現在由核安委員會來那因為要配合這個新的還有包括安全是否有機會把它變成二級單位再重新回到二級單位當中原能會現在重要的是它的功能能不能發揮
transcript.whisperx[467].start 23516.703
transcript.whisperx[467].end 23544.36
transcript.whisperx[467].text 在台電送出再運轉計畫以及提出自主安全檢查一定要說經過原能會做最終的成果但是你如果把三級變成二級的話你要因應未來的核能的趨勢的話他的人力他的經費他的各方面會因為這樣就增加比較符合現在的趨勢所以組織調整上面有沒有可能把它變成二級這個原因是原能會他還是收網羅所有的專家來處理這樣的問題第二個是我們現在二級機關目前來講是沒有什麼一個空位
transcript.whisperx[468].start 23545.3
transcript.whisperx[468].end 23551.684
transcript.whisperx[468].text 来让它升级我觉得这个部分还是要有非常多的调整为什么要这样
transcript.whisperx[469].start 23576.24
transcript.whisperx[469].end 23600.128
transcript.whisperx[469].text 廚藝計畫還要不要繼續進行還是你核後端不管你要延幾年之後你還是得要廚藝所以你錢還是要準備你現在已經要做運轉那這八十億我還要不要再花我這八十億還要不要再花你現在是廚藝計畫花了八十億那你現在要重新運轉那是否廚藝的計畫就可以暫時緩和然後我們來進行所謂的新的運轉計畫他不一定是這樣你發一度的核電的話
transcript.whisperx[470].start 23601.528
transcript.whisperx[470].end 23627.405
transcript.whisperx[470].text 你要提撥一部分出來當做核貨後端的基金了解啊但不需要到這麼多錢嗎這跟你上次預期的不一樣所以我才說突然之間有一個這樣新的一個計劃出現了我們在去年的時候我在教文我們本來就對核安會來做質詢那時候我們不預期突然之間在SMR我們那時候講老半天會突然到目前為止好像開始在推動一切都往這個方向來走
transcript.whisperx[471].start 23627.765
transcript.whisperx[471].end 23645.758
transcript.whisperx[471].text 所以我才说以前我们讨论是厨艺现在我们讨论是在运转中间是牵涉到经费的问题嘛对不对然后呢最重要是我要问一下院长过去蔡政府的时候曾经对我们核能对于我们能源的配比有20 30跟50这样的计划虽然到2026年的时候呢目前来说
transcript.whisperx[472].start 23646.198
transcript.whisperx[472].end 23671.353
transcript.whisperx[472].text 火力發電占比已經達到81.3完全就是已經符合你當初所設定的規定那目前為止呢再生能源的缺口還缺的差不多是7.3的一個缺口嘛那我們在這二個談判當中呢我們也承諾在我們在2025到2029的時候我們要促進採購美國的天然氣還有相關的電力大概700億美金嘛那這樣是不是我們要多增加我們對天然氣的這樣依賴
transcript.whisperx[473].start 23673.294
transcript.whisperx[473].end 23686.333
transcript.whisperx[473].text 所以蔡政府提出的是20 30 50那請問賴政府所提出的部分配比會是多少我們會把天然氣的部分再跟他調整現在我們希望今年2026年就能夠達到20%
transcript.whisperx[474].start 23688.291
transcript.whisperx[474].end 23714.202
transcript.whisperx[474].text 天然氣達到20%目前有啊你現在我現在說火力全開火力佔比已經81.3了燃煤26.6然後呢燃氣是53.3了所以你目前為止整個火力來說已經81.3我現在只問如果核能加進來你這整個的配比會是如何我們過去朗朗上口20 30 50那現在你組這個地方他的配比會是多少可不可以讓我們有一個這樣子一個概念
transcript.whisperx[475].start 23714.773
transcript.whisperx[475].end 23733.343
transcript.whisperx[475].text 因為核能的再運轉目前還是在一個程序進行當中誰都不知道有沒有可能全部都再運轉因為他還要提出自主安全檢查所以說在2027、在2028的預估我們目前都還沒有做這樣子一個估算就對了我們還是依照原來的現在20、30會調整 50是不變
transcript.whisperx[476].start 23736.553
transcript.whisperx[476].end 23754.646
transcript.whisperx[476].text 什麼時候調整調整的比例是多少等到自主安全檢查如果真的通過然後可以重新運轉的時候這個目標我們當然會做適度的調整核的部分可能也要增加進去的所以很清楚讓我們大家知道能源的配比是如何
transcript.whisperx[477].start 23755.066
transcript.whisperx[477].end 23777.206
transcript.whisperx[477].text 好那我們回到還是那個問題就是我們高雄的興達電廠嘛對不對因為那個這個部長你也特別提到如果說這個戰爭如果繼續拉長的話我們4月可能就要啟動燃煤備用機組的意思就是說我們可能就有可能火力就要全開了對不對目前不會目前不會好我們也希望3月4月我剛才講的已經都調度完成
transcript.whisperx[478].start 23777.666
transcript.whisperx[478].end 23799.374
transcript.whisperx[478].text 調度完成但是我還是要特別為我們高雄來問一下我們高雄市六都溫室氣體的這個排放是第一名第一名新達電廠說實在是我們高雄人的一個夢魘雖然說2023年的時候我們廚藝是一號機二號機去年大概是三號機但是我們都被轉成緊急備用的機主雖然民間的團體都希望
transcript.whisperx[479].start 23800.414
transcript.whisperx[479].end 23813.389
transcript.whisperx[479].text 不要是備用他希望是永久除役最主要為什麼要問這個問題因為我們在去年的時候不是在停電時間我們一號二號機也是偷偷開機都還不是在固定的時間沒有偷偷
transcript.whisperx[480].start 23815.311
transcript.whisperx[480].end 23843.252
transcript.whisperx[480].text 經濟部長特別告訴我們是你是要試驗啦要來例行的點火試驗啦但是你也不能否認我們一號機的時候在去年也曾經發生爆炸的一個事故那我要為我們的居民特別是我們這個北高雄居民說他長期就是忍受了這樣子的一個所謂的空污啊你說要換新的啊現在你再給我們一個舊的盤子又要拿起來燒然後那地方最不平的是台電都告訴他這東西是廚藝啊所以我們沒有回饋金也沒有補償金
transcript.whisperx[481].start 23844.093
transcript.whisperx[481].end 23865.732
transcript.whisperx[481].text 所以居民就會說 你都廚藝的 可是你還是緊急備用我要吸的不好的空氣 我又沒有錢可以領這對居民來說 其實會有很多的怨言連城市長也要求台電也要重新來做個評估不知道你同不同意是 巴偶委員 所以因為事實上 尤其是最近幾年高雄的這個產業發展非常熱絡 我想您也知道
transcript.whisperx[482].start 23866.312
transcript.whisperx[482].end 23881.966
transcript.whisperx[482].text 所以他的確用電量是正常的對啦 但是每個美司都說我們AI需要用電 VIA就要用電但是重點是你們那時候台電本來有二期的更新改建計畫要新增兩部新的燃料燃氣機組這不錯對不對但是現在又告訴我們要陸續這個舊的要陸續汰換但是現在又出現了說五部舊燃料機組要到2037年
transcript.whisperx[483].start 23893.256
transcript.whisperx[483].end 23907.632
transcript.whisperx[483].text 2037才會除疫嘛2023年它有更新了整個組件所以它的排放污染物已經下降滿多還是在那個地方11年最主要是有很多氣的話是對於稀有度排放比較少
transcript.whisperx[484].start 23908.212
transcript.whisperx[484].end 23927.772
transcript.whisperx[484].text 對啦 但是我告訴你 我們的居民會反對 因為你的救濟署的運轉超過25年然後呢 他們都說 你每次都跟我們講說 AI AI 他們都在哀啊對不對 他們都在哀啊然後最重要的原因是說 你研議11年 你有沒有公然違反這個對於環評的一個承諾呢 有沒有
transcript.whisperx[485].start 23928.913
transcript.whisperx[485].end 23945.787
transcript.whisperx[485].text 報告委員這個一號機新的一號機跟新的二三號機有的一樣一號機他已經開始在已經上線了那新的二三號機我們也開始要接受調度所有其他的那只是當作一個緊急備用的而已所以我就說啊因為你
transcript.whisperx[486].start 23946.247
transcript.whisperx[486].end 23975.206
transcript.whisperx[486].text 告訴大家說要延你就去延這個部分裡面對大家所認知的以為馬上就有新的然後又要延對居民來說其實很難接受所以他們開始很勾引的相信你會先見後猜啊他們以為只要忍到2026年就可以退場了你現在突然一句話說為了AI他要重新來所以他會擔心髒空氣沒有辦法讓他們能夠認真做嘛我們會有關於這個所謂污染物會總量管制
transcript.whisperx[487].start 23976.607
transcript.whisperx[487].end 23987.316
transcript.whisperx[487].text 所以說部長我們就是希望你能夠公開承諾給我們一個拆除的一個計畫然後呢要落實廚藝透明監督合理的補償這合理吧
transcript.whisperx[488].start 23988.356
transcript.whisperx[488].end 24001.14
transcript.whisperx[488].text 所以我們就按照這個來做所以你要讓居民放心新的機組會先上來舊的機組就讓他有一定的時間給我們一個採除計畫院長給我們一個採除計畫一個時程時間湧出來大家比較放心這樣可以嗎這個很合理嘛對不對
transcript.whisperx[489].start 24010.203
transcript.whisperx[489].end 24026.909
transcript.whisperx[489].text 這個可以嗎 給我們一個採除計畫 像台中一樣嘛不要到時候 等到2020 又要說要11年大家看這個數字是很敏感你後面講了說有換到新的什麼 這都不足以補償該補償的我還是要替我們北高雄的 我們沿岸的居民說一聲啦這樣可以嗎
transcript.whisperx[490].start 24027.689
transcript.whisperx[490].end 24051.454
transcript.whisperx[490].text 回饋金可以的就是這樣子來我們還是一句話回到我們的中油中油負債現在是破兆院長這都不是我講這都是審計部的一個報告因為現在的負債太多已經到113年的時候已經到一兆兩千了他現在已經被很多的這個負債比已經超過92%了所以連買原油都要付現買原油都要付現然後我們還要編千億我們要去擴充我們的產能
transcript.whisperx[491].start 24056.175
transcript.whisperx[491].end 24072.058
transcript.whisperx[491].text 所以当然了又开始有人就会提出来了这也是审计部的计划审计部告诉我们我们林源呢因为新四清洗湾林盆嘛对吧他说他现在目前是处在土壤液化高前市区而且院长还有这个部长你们看一下啊
transcript.whisperx[492].start 24072.478
transcript.whisperx[492].end 24098.284
transcript.whisperx[492].text 目前來說最重要是全球的產能過剩那這個部分裡面過剩的危機要到119年都還是過剩而且我們碳排的共識的一個落差這個到審計部的計畫當中你們過去說你要做這樣的一個事情因為你預計碳排會增加93.3萬噸那你們過去說你們核定前要跟我們高雄市政府的達成碳排的共識
transcript.whisperx[493].start 24099.104
transcript.whisperx[493].end 24104.347
transcript.whisperx[493].text 我們的承諾就是說雖然他的這個乙烯的這個預計量增加但是整個排放量因為新四星不會增加
transcript.whisperx[494].start 24117.675
transcript.whisperx[494].end 24141.756
transcript.whisperx[494].text 雖然它的量是用最新的技術嘛現在最新的技術也不過把你93.3現在降到70萬嘛對不對把它降到70萬嘛但是重點還是有很多特別提到因為你堅持擴產到你堅持擴產這個引擎的產能全球過剩但是中油目前為止還是希望把60萬噸變成100萬噸那你這樣產生出來的只能做一些塑膠或者能夠做到一些比較
transcript.whisperx[495].start 24142.256
transcript.whisperx[495].end 24158.746
transcript.whisperx[495].text 大家比較關切就是你有沒有辦法像中鋼一樣能夠做高質化的這樣的一個處理這是我們希望能夠在產業上面來做這樣一個部分中鋼目前為止都往這方面去做努力升級這個是一定要做的事情我們是持續在做
transcript.whisperx[496].start 24159.366
transcript.whisperx[496].end 24173.005
transcript.whisperx[496].text 那我們當然希望你不要毛利每次都做那些毛利很少的我們也希望能夠把它練成像實驗室等級啊論客來賣的啊然後呢也高純度的半導體的這個專用的這個化學物質啊這才符合我們所謂高級化的一個目標嘛
transcript.whisperx[497].start 24176.289
transcript.whisperx[497].end 24201.19
transcript.whisperx[497].text 但是還是一句話我們現在的共識跟高雄市政府的共識目前是達到了嗎所以我們現在可以讓我們新四清目前為止這個部分到114年的時候4月還沒有共識現在有共識了嗎我們有跟高雄市政府在談過將來如何提升他的新的效能這個也是一個進步我想跟委員報告我們很感謝國營事業的單位
transcript.whisperx[498].start 24202.631
transcript.whisperx[498].end 24222.649
transcript.whisperx[498].text 中油台電以及台水長期都接受很多的政策的必須把這個價錢都壓得很低尤其最次的這個中油 純然是戰爭的關係是啦 我就說嘛 它本來是有80億的盈餘現在目前為止又因為這樣 又沒有辦法了嘛所以將來我們如何在這個財務上協助這個是必要的 另外
transcript.whisperx[499].start 24223.45
transcript.whisperx[499].end 24245.809
transcript.whisperx[499].text 我們的產能我們必須要我們自主韌性國內要夠我們家裡要公道院長這個大家都無庸置疑我現在所提出來的質疑並不是說你不能弄新四期你必須要說服環團說服我們的李明還有說服非常多的一個單位最主要是碳排的這個層面來說還有包括中永有沒有他的財務狀況有沒有辦法再承接起
transcript.whisperx[500].start 24246.209
transcript.whisperx[500].end 24263.661
transcript.whisperx[500].text 目前你的新的技術而所造成的一個所謂效能的影響我覺得這次才是我們共同一個對這樣的方向而且如果新四輕可以這樣子對我們的碳排可以降低的話那我們就要請問為什麼不從新三輕來做一個示範作用為什麼從新四輕開始為什麼不從新三輕開始也來做這樣的事情呢部長
transcript.whisperx[501].start 24264.742
transcript.whisperx[501].end 24288.359
transcript.whisperx[501].text 因為四清的部分它已經營運到期了當初再來講所以它有一些更新的需要所以我現在說碳排的部分裡面你不用等到新四清其實新三清的部分裡面你可以考慮來做這樣一個處理主委也是你院長你剛所那個目標我們大家都毋庸置疑都會我們地方也很感謝這些台這些國營的單位但是我還是要提到了一個能源政策的走得遠走得長
transcript.whisperx[502].start 24289.139
transcript.whisperx[502].end 24308.25
transcript.whisperx[502].text 我們希望我們像用科學數據來做而不像過去一樣永遠都是說不通的院長我下次給你一個肯定你終於可以扭轉這個部分讓我們走向跟世界的趨勢是一樣的但是有關於中油有關於碳排的問題有關於他的財務黑洞的問題這點是我們都要特別指出來的
transcript.whisperx[503].start 24309.19
transcript.whisperx[503].end 24332.799
transcript.whisperx[503].text 了解吧好接下來我要進入這個土方之亂了我不曉得土方之亂有誰可以來協助我們院長來做這樣的一個回應啊來我們的內政部長跟我們的環境部謝謝我想我們這個土方的部分啊這個2026年我們這個土方之亂我想是全國性的一個問題啊當然是個美濃大峽谷的我們有一些被倒採然後回填這個廢棄物的問題內政部
transcript.whisperx[504].start 24335.06
transcript.whisperx[504].end 24354.26
transcript.whisperx[504].text 已经强制要求要用GPS还有包括电子连单这个部分内政部已经非常积极在做但是无可否认我们目前为止有关于这个处理的产量能还是不足的然后呢轻易的成本也是暴涨这是存在的一个事实那我想这个部分来说的话
transcript.whisperx[505].start 24354.981
transcript.whisperx[505].end 24376.662
transcript.whisperx[505].text 因為這個土方真的不是最近才開始長期的都是現在我們都聽到非常多的一個抱怨了我想請問一下目前來說剩餘營建剩餘土石方的處理的方案已經超過30年了定位不是很清楚也不是法律未接然後呢政策來說會不會協調我記得去年3月
transcript.whisperx[506].start 24378.003
transcript.whisperx[506].end 24402.238
transcript.whisperx[506].text 去年3月18号的时候监察院曾经做过这样一个纠正那请问院长目前为止我们做的方式是什么我还是先把它讲完因为那个时候被纠正的时候国土署有回应他说环境部要把这个废青法纳入要来做这样一个全国性的一个修法那我请问现在的这个废青法有修正吗目前为止
transcript.whisperx[507].start 24402.938
transcript.whisperx[507].end 24424.745
transcript.whisperx[507].text 而且那時候國土署說環境部要修那環境部有修嗎而且我也非常清楚的非常贊同某種程度環境部長有說你要推這個循環經濟推動法你認為不是每個東西都是垃圾好好的處理也可以變成是一個好的一個部分請問這兩個最重要的法你們有做任何的處理嗎
transcript.whisperx[508].start 24425.821
transcript.whisperx[508].end 24443.127
transcript.whisperx[508].text 好報告委員所有的這個土石方我們台灣幾十年來從來沒有認真的處理那這一次我們是認真的去面對這個事情那這個法律的部分呢我們其實經過的努力已經在行政院內部已經開過差不多到最後一個階段了我們的確也在進行修正當中
transcript.whisperx[509].start 24443.527
transcript.whisperx[509].end 24465.013
transcript.whisperx[509].text 所以说从过去到现在我还是必须要说你看你那时候被纠正说内政环保法务三大部长大动作的开记者会啊去年5月1727号说你要有四大政策来去面对啊但是呢不好意思去年也同样的同一年12月底你们全部开完大政在会议之后12月底的时候呢
transcript.whisperx[510].start 24466.153
transcript.whisperx[510].end 24483.774
transcript.whisperx[510].text 又再被一次的告訴大家做的還不夠然後你看院長你也可以看一下目前為止就像剛剛環境部長所提到的這麼久以來難得你們三位部長全部站在一起的可是問題到現在到今年此時此刻還是一樣土方的問題還是存在廢棄物的問題還是存在
transcript.whisperx[511].start 24485.155
transcript.whisperx[511].end 24505.112
transcript.whisperx[511].text 營建的這個單位裡面叫得不得了然後呢到底這個問題目前為止該怎麼辦你不覺得應該有個跨部會的單位來好好把這些問題處理好嗎而且部長你剛所承諾那兩大修法目前也還是看不到什麼時候推出來每個委員都有提出他們的修正版本可是我們還是沒有看到行政院的對岸啊這什麼時候可以來告訴我們
transcript.whisperx[512].start 24505.812
transcript.whisperx[512].end 24530.027
transcript.whisperx[512].text 該怎麼樣來解決其實你如果了解也能夠知道我們現在每個州每週所對於土方開的會議你就會知道它已經有具體的方向了包括它的最終去處包括它的戰事場 土事場以及包括我們現在在一個行政區裡面的異地戰事三個方式同時在進行港區會有港區的這個最終去處港區台北港等等也會有它的戰事場
transcript.whisperx[513].start 24530.968
transcript.whisperx[513].end 24549.307
transcript.whisperx[513].text 這個都有辦法在做我就是符合你剛所說的我非常的關注我也知道你們在做哪一些事情好的現在問題又來了我們是不是也可以請農業部長其實這個時候也應該站出來了你們這個協調老半天喔然後內政部的這個國土署今年宣布要擴增農地改良來做一個土方的這個區方嘛
transcript.whisperx[514].start 24549.767
transcript.whisperx[514].end 24565.72
transcript.whisperx[514].text 然後這個時候呢有很多民間團體就開始非常的反彈因為他們都認為2021年農委會那時候就完全禁止任何的土方進到我們這個農地啊因為他認為時間暫停一下吧各位我想農業部長要備詢外業部長請回好嗎什麼
transcript.whisperx[515].start 24567.765
transcript.whisperx[515].end 24588.314
transcript.whisperx[515].text 就是農業部長現在被尋你問到農業部的事情農業部長被尋可不可以請劉部長回去可以反正農業部長內政部劉部長請回謝謝那我們就請環境部還是要在環境部部長請回對內政部長內政部長是留下來準備內政部長可以農業部請回
transcript.whisperx[516].start 24591.883
transcript.whisperx[516].end 24602.553
transcript.whisperx[516].text 謝謝農業部長請備詢時間繼續好我不曉得這個臺子只能站三個人硬體的建築這樣而且畫面不能像小學生一樣回去到領導課不會的畫面不好看謝謝謝謝訓導長我們尊重好不好好謝謝
transcript.whisperx[517].start 24606.276
transcript.whisperx[517].end 24630.485
transcript.whisperx[517].text 來我們就是就像院長你所提到我們每一次都非常的關切我剛提到的農地改良內政部國土署已經提出了農地改良這樣一個問題了但是每一次都被卡在這個部分農業部當然過去在2021當然不是這個部長上任之前之前就在農委會的時候就有這樣的條例嘛一個施行條例裡面幾乎是把我們B3跟B4的這個去化的一個途徑全部封死了
transcript.whisperx[518].start 24631.065
transcript.whisperx[518].end 24644.823
transcript.whisperx[518].text 這就是為什麼目前為止院長處理老半天可是這個問題裡面如果沒有辦法去做一個處理的話這個問題還是卡在那個地方而且你剛剛所提到的這個叫填海以高雄港為例的話同樣來回應剛剛院長的問題我們目前要規劃收容這個南部的廢土
transcript.whisperx[519].start 24650.109
transcript.whisperx[519].end 24679.669
transcript.whisperx[519].text 这个工程来说可是目前来说我们要进入二阶段的一个评估因为我们考虑到填海里面有些海洋很害怕当中会造成一个环境上的污染我们的南科如果一个评估要21个月你现在要进入第二个第二期的一个环境评估的话你说这个填海造陆我们现在几乎没有空间可以来放置这个多余的土方光是在去花的部分里面卡在农业部的一个条例当中就让很多事情没有办法来做彻底的解决院长
transcript.whisperx[520].start 24680.129
transcript.whisperx[520].end 24708.949
transcript.whisperx[520].text 我很關切啊 但是沒辦法啦填海造陸啊 填海造陸還不是一個最終的處理方法那我們今天就是調查全國的土地可以開始做的就是要進入環評 就儘早進入環評我們為的是國土的保育為的是很多土地的利用所以你這個高雄港的部分可不可以用專案的方法來處理你如果用這個方法來就是不知道等到什麼時候所以我還有一個戰智場戰智場先行啟用其他的戰智場在還沒有完全可以
transcript.whisperx[521].start 24709.789
transcript.whisperx[521].end 24736.239
transcript.whisperx[521].text 最終去化的時候為什麼請農業部長過來裡面就是因為一個細則幾乎把所有大家所可能考慮到的去化的一個途徑一個條例幾乎就把它堵死了當然我們也同意民團當中也很擔心現在大家地方裡面就是太多的法規細則沒有很清楚所以說當沒有很清楚又這麼東西都要拿去堆置的時候院長我告訴你法規不夠清楚
transcript.whisperx[522].start 24737.439
transcript.whisperx[522].end 24761.54
transcript.whisperx[522].text 很多時候你就會看到大家就是會違法然後呢地方政府也只能用加重處罰的方法問題還是沒有辦法解決我們已經在進行當中另外一個委員你剛才說到循環經濟現在有很多房子都好好拆好好拆就沒有廢棄物所以我們鼓勵好好拆那當然好好拆這是一個每一個人都要做的事情也希望委員可以支持
transcript.whisperx[523].start 24762.4
transcript.whisperx[523].end 24790.175
transcript.whisperx[523].text 我現在只是希望院長你根本找一個政委你好好把這個部分裡面調我剛說有被堵死的然後有被混淆的還有很多的法律不清楚的知道你們在做但是顯然目前遇到一些卡關那這些卡關讓現在此時此刻開始其實還是有很多土方的問題還是沒有辦法解決我們遇到很多的卡關說真的所以我們一一一直在克服當時也該管現在3月到5月就會比較十足的進展5月份會有一些土地會釋放出來
transcript.whisperx[524].start 24790.92
transcript.whisperx[524].end 24811.426
transcript.whisperx[524].text 五月會不會是處計釋放出來然後我們高雄港年我們剛說也是在你們整個範圍當中專案的方法如果完全照過去的環評的方法真的沒有辦法解決燃煤之急去化的系統還有我們放置的這個部分五月部分院長你說嘛可以得到比較多的一個解散嗎五月三月會有一部分五月就會有更多的土地可以來使用
transcript.whisperx[525].start 24811.826
transcript.whisperx[525].end 24814.73
transcript.whisperx[525].text 其實去年的時候六都都有來承諾要一起來做這個事情我們中央很努力也希望地方政府也要努力來配合
transcript.whisperx[526].start 24831.109
transcript.whisperx[526].end 24846.665
transcript.whisperx[526].text 我覺得那個法規弄清楚B3 B4這個到底有沒有辦法再回填回去光是這個部分把它規範清楚就好農花條例裡面相關的規範其實農地的土壤改良是因為農地的需要不能是因為為了處理
transcript.whisperx[527].start 24848.767
transcript.whisperx[527].end 24876.446
transcript.whisperx[527].text 這個土石而開放農地所以我們在跟環境部在討論的時候就有很詳細的這樣的一個規範部長我知道我們開過很多公聽會農業部都要派代表他光是頒出你們這個條例來就大家就閉嘴了因為你們這個法規如果不解除的話其實後面非常多的方式是沒有辦法來做的你們的職員都非常盡忠職守可是也讓很多的討論就會遇到卡關這點我還是必須要指出來我跟委員報告其實在
transcript.whisperx[528].start 24877.307
transcript.whisperx[528].end 24903.528
transcript.whisperx[528].text 院裡面包括院長主持的相關的部位就是為了解決這樣的一個法規要適合的部分很需要跨單位的部分所以我們就因應期待建築業還有包括很多的民團都在因應期待你們可以弄一個更標準更規範的方法讓大家有個依循的目標這樣比較好做對不對所以院長已經說五月的時候可以讓這個整個問題的解決稍微看到更大的進展這樣沒錯吧
transcript.whisperx[529].start 24904.389
transcript.whisperx[529].end 24923.826
transcript.whisperx[529].text 內政部跟其他工會還有這個產業也都進行當面的溝通五月好不好 院長我們就看到這個五月因為目前這些問題還存在農業部長可以請回座最後我要問到一個還是幫我們高雄的羅思業院長你上次去的時候
transcript.whisperx[530].start 24925.948
transcript.whisperx[530].end 24942.325
transcript.whisperx[530].text 你已經去了好幾次了 我知道經濟部長 我們工部長你從秘書長到部長都還是一樣都到我們高雄跟羅思業對不對第一次去的時候我也在現場人家說是秘書長 現在是部長但是不好意思問題還是不一樣你看我們樓我們上次有非常多人來陳請嘛
transcript.whisperx[531].start 24943.726
transcript.whisperx[531].end 24971.486
transcript.whisperx[531].text 他說呢 面臨十二年最大的一個寒冬現在是坐視修山我想部長跟院長都很了解我們螺絲當初你們在說我們是我們高雄之光等等之類的沒有問題但是他們遇到這麼大的寒冬的時候呢他們希望能夠爭取232條款的豁免有沒有機會 有沒有辦法脫鉤目前談的這樣的條件有沒有機會阿的已經談定了談定 然後呢現在已經談定了 所以說是
transcript.whisperx[532].start 24972.389
transcript.whisperx[532].end 24986.215
transcript.whisperx[532].text 所以我們現在螺絲業的關稅要被扣多少%就是232一般規定怎麼樣多少%就是50%全世界都一樣就是很難嗎那你這樣50%來說的話對他們來說真的是我們跟扣件業的業者也談過當然他們也需要很大的幫忙不過
transcript.whisperx[533].start 24994.631
transcript.whisperx[533].end 25010.78
transcript.whisperx[533].text 現在都希望他們升級轉型就是專業性的這個扣件他的價錢就會每個人都知道的專業的扣件我們也在做升級但是目前為止已經得一半了可能已經倒了不知道到哪裡去的這算是環境部長可以先回座的謝謝不好意思彭部長
transcript.whisperx[534].start 25011.44
transcript.whisperx[534].end 25031.397
transcript.whisperx[534].text 現在比較好了今年相對於去年來講我們現在放了所謂的這個減班休息的人數已經剩下三千八百多人相對於去年的八千多人已經少了非常多了其實我說實在的這個每個不要說是我啦我們所有高雄的立委上來就是會非常關切這樣的問題我們還是會持續關心
transcript.whisperx[535].start 25032.358
transcript.whisperx[535].end 25056.31
transcript.whisperx[535].text 承受非常多螺絲業的一個關心啦然後呢你那時候下去的時候2月9號你下去的時候你還要特別告訴大家說未來因為我們現在的關稅談定之後你有餘力能夠來處理我們螺絲業的一個問題你的說法好像把它放在下一個階段來處理你好像螺絲業覺得是適合的傳統產業你們都把高科技放在第一第一來去做不是你誤解了就是
transcript.whisperx[536].start 25056.59
transcript.whisperx[536].end 25081.895
transcript.whisperx[536].text 那時候我們ART談完了已經談完了以後因為其他的產業有些降到15%有些降到25%那你為什麼不把它當成第一個產業你為什麼不把它當第一項手的部分來一起談呢我們會把其他的資源移多一點給扣建業那你當初為什麼不把它當所以你還是把它放在後面你為什麼不在當它主流談定的時候把它納入的項目來談呢那它本來就是第一位啊 第一順位啊第一順位還談到我們現在的螺絲葉還被扣這麼多
transcript.whisperx[537].start 25083.275
transcript.whisperx[537].end 25104.654
transcript.whisperx[537].text 對不對我們目前為止你也做出了非常多所謂補助的方式嘛對不對你那時候提出了460億的這樣一個補助的方法但是不好意思我們還是可以看下面因為時間快到了我還是給部長跟院長看一下目前來說你可以看得出來後面那一個階段你看
transcript.whisperx[538].start 25105.414
transcript.whisperx[538].end 25132.584
transcript.whisperx[538].text 執行率你看目前為止我們所執行的方式461看起來是非常的好但是預算執行率目前不到三成所以我們就在想你到底是門檻太高還是你的行政流程太緩慢因為我們那個執行的時間是兩年多沒 還是一樣啊大家都因應較苦很多人講說你會不會在這個門檻還有行政的流程上面是否給人家現在能夠我們通過的比例來申請跟通過的比例是超過百分之六十到七十
transcript.whisperx[539].start 25133.044
transcript.whisperx[539].end 25142.369
transcript.whisperx[539].text 可是你整個執行來說我現在只是反映我們所有業者的一個聲音好不好你那時候提出的計畫當中你還要提出它的研發計畫提到什麼計畫很多人覺得這個整個的門檻
transcript.whisperx[540].start 25160.555
transcript.whisperx[540].end 25187.201
transcript.whisperx[540].text 好 謝謝柯子仁委員質詢謝謝 卓院長相關部會所長備詢 謝謝我們下面劉建國委員質詢之後將會休息十分鐘十分鐘之後請林黛樺委員準備我們現在請劉建國委員請質詢好 謝謝主席有請卓院長
transcript.whisperx[541].start 25188.211
transcript.whisperx[541].end 25214.961
transcript.whisperx[541].text 麻煩再請卓院長背書 勞動部紅部長交通部 勞動部 勞動部紅部長交通部一定會請他啦稍安勿躁 好 謝謝好 劉永豪院長辛苦了也跟院長加油成功的一趟這個外交運動 運動之旅非常的讓大家這個
transcript.whisperx[542].start 25216.656
transcript.whisperx[542].end 25240.269
transcript.whisperx[542].text 肯定跟欣喜若狂不過你這幾天特別的辛苦高興的是那場球賽贏了大家都很高興因為外交運動都有一些有所斬獲那我們就要回到內政了我早上有聽到院長有特別提到中選會會再提名三席這人選有確定了嗎中選會的委員早上的時候
transcript.whisperx[543].start 25241.223
transcript.whisperx[543].end 25265.095
transcript.whisperx[543].text 我是希望我們在提名出來的人都能夠經過立法院的同意要維持過去那種大家互相合作的誠信所以人選我們會再重新做各方的考量所以人選還未確定好謝謝那我現在中選會完之後來討論這個洪部長跟院長的得證就是在
transcript.whisperx[544].start 25266.528
transcript.whisperx[544].end 25274.336
transcript.whisperx[544].text 也是在這個執行台曾經問過院長台灣孩兒的出生率持續一直在下降中
transcript.whisperx[545].start 25275.236
transcript.whisperx[545].end 25301.764
transcript.whisperx[545].text 那我記得院長曾經跟我講說應該113年不會跌破13萬大關不過去年就剩下10萬出今年有媒體已經非常悲觀的在看待因為我們有單月二月創下單月跌至7000人以下這個紀錄所以可能今年會跌破10萬這個真的我們要趕快想盡辦法
transcript.whisperx[546].start 25304.879
transcript.whisperx[546].end 25313.112
transcript.whisperx[546].text 來看如何做應應然後我想這些令人擔憂的數據院長可以看一下我們必須
transcript.whisperx[547].start 25315.151
transcript.whisperx[547].end 25340.02
transcript.whisperx[547].text 也要從這個角度去思考說我們還有什麼樣的一個相關的一些辦法跟配套的措施可以讓這個出生率再往上提升我在這邊有看到一個還蠻不錯的一個方式、一個方法也就是院長跟部長的這個德政約定假是從過去必須請一個月那我們跟他改為可以換官到一日來申請為單位
transcript.whisperx[548].start 25341.67
transcript.whisperx[548].end 25350.4
transcript.whisperx[548].text 也因此近兩個月這個男性的申請比例比過去全年的27.8%大幅增加44.3%增加16.5個百分點然後同時女性的申請也從72.2%減少為55.6%少了將近16.6%差不多啦
transcript.whisperx[549].start 25363.804
transcript.whisperx[549].end 25389.579
transcript.whisperx[549].text 男性的增加跟女性的這樣的降低基本上是打平那也顯示出說這樣的家庭的分擔的效果明顯出現照顧孩子的壓力不會只有壓在這個女性的身上但是這個是現代社會中非常有指標意義的一件事情那我想既然這一個方向是正確
transcript.whisperx[550].start 25392.007
transcript.whisperx[550].end 25416.281
transcript.whisperx[550].text 這樣的一個指標有顯著的意義的存在的情況之下是不是原本我們是在育嬰價的適用條件為只以未滿三歲我們能不能把這樣的任期再擴大就從一個月我們換款單位一日可以申請現在未滿三歲我們能不能提高到六歲那我這麼講是有所本因為我們一直很多政策都是零到六歲零到六歲
transcript.whisperx[551].start 25417.318
transcript.whisperx[551].end 25439.778
transcript.whisperx[551].text 我們很少或是0到2歲3到6歲我們很少未滿3歲那如果今天這是一個得證這樣的一個方向可以減少更多的女性的照顧兒童的壓力的情況之下那提高到3歲的練級因為你看幼稚園可能會停課停班種種的一些突發的狀況產生
transcript.whisperx[552].start 25441.323
transcript.whisperx[552].end 25447.616
transcript.whisperx[552].text 所以如果可以提高到這個六歲我不知道院長怎麼看待這件事情能不能來做相關的研議
transcript.whisperx[553].start 25448.51
transcript.whisperx[553].end 25476.904
transcript.whisperx[553].text 很感謝委員肯定這個政策的推動那也真的他符合了一些年輕爸爸媽媽的需求我們不希望把家庭照顧或者小孩的照顧落在單一性別的身上所以他有平均化那當初這個勞動部在提出這個政策的時候有經過各方的分析考量跟很多數據的整理所以提出第一個階段現在是從0到3歲那至於說要不要把它放大我想我們還要再觀察因為這個牽扯到
transcript.whisperx[554].start 25478.807
transcript.whisperx[554].end 25499.991
transcript.whisperx[554].text 企業主勞工還有代理人這多方面的三角關係我們能不能全面的來提供到整個尤其是比較小型的這個企業單位他更需要在人力上調配上的一個需求那這個部分還請勞動部還繼續再研究好我是不是請部長來回應一下也讓院長可以知道這個可行性應該是
transcript.whisperx[555].start 25500.506
transcript.whisperx[555].end 25516.364
transcript.whisperx[555].text 應該是可以照這個方向來走吧謝謝委員的肯定那的確我們從這個以日傾雲流亭從1月2月數據來看的話確實成效是很不錯的那男性申請的比例也大幅的增加
transcript.whisperx[556].start 25517.225
transcript.whisperx[556].end 25534.58
transcript.whisperx[556].text 那過去之所以會是在三歲以內其實一個原因是因為我們的法規要求願留人家在三歲所以確實在這個成效很好的結果出來以後我們也聽到蠻多三到六歲的這個家長來反應那三到六歲其實也有很有這樣的需求
transcript.whisperx[557].start 25535.461
transcript.whisperx[557].end 25553.188
transcript.whisperx[557].text 那所以我們的確也是在現在0到3歲的經驗之下因為蠻多企業也願意支持所以我在這邊可以跟委員說也謝謝委員的提醒那我想我們是願意來研議跟草擬來把這個單日申請育嬰留庭的這樣子的彈性的措施來提到
transcript.whisperx[558].start 25554.348
transcript.whisperx[558].end 25570.627
transcript.whisperx[558].text 這個至少6歲我想我們願意來做這樣的草擬那的確這個做法其實也需要一些相關的配套那我們也會要來綜合其實目前這段時間很多爸爸媽媽申請的一些經驗那我自己是希望說如果
transcript.whisperx[559].start 25571.368
transcript.whisperx[559].end 25596.963
transcript.whisperx[559].text 看能不能在下半年來把這樣子的修法的草案來提出因為如果要到拉高到60歲以上的話那這其實是會需要相關的法規需要來修訂的好 院長有聽到部長講的啦剛剛院長的顧忌的幾個面向嘛那最起碼有一個面向企業很多是可以支持的那我們就可以朝這個方向來走院長可以答應來 儘早來做研議吧
transcript.whisperx[560].start 25597.805
transcript.whisperx[560].end 25625.291
transcript.whisperx[560].text 應該是可以吧因為這個政策的實施勞動部還是跟企業端做了相當多的溝通也了解勞工的意願我們也編了一併的預算獎勵金在支持企業讓企業能夠樂於勞工來行使這樣的一個權利或是這樣的一個請假的制度所以我們如果延伸的話第一個是法律上第二個是面對這三角關係企業端勞工以及他未來可能找到職務代理人
transcript.whisperx[561].start 25625.831
transcript.whisperx[561].end 25649.497
transcript.whisperx[561].text 那我們可不可以有更充裕的經費來支持這個都要我們再來考量對啦我主要是說這樣的一個政策基本上它是有效益的它是有意義的那是不是可以馬上院長在這個當下可以答應我就是進入研議然後是不是下半年我們就可以來實施就這樣而已嘛對我們會全面來檢視目前實施的成效研議如何讓它更優化OK好謝謝院長謝謝部長部長請回
transcript.whisperx[562].start 25652.998
transcript.whisperx[562].end 25679.358
transcript.whisperx[562].text 我第二件事情要跟院長特別提到這件事情菜價、蒜價我從蒜價先提起去雲林縣是雲林縣大蒜種植面積最大的縣市它產量也是最多的我在這邊有看到農糧署有份資料還特別的在做這樣的一個宣導農糧署表示目前大蒜
transcript.whisperx[563].start 25680.083
transcript.whisperx[563].end 25693.377
transcript.whisperx[563].text 這是3月12號的部長也看一下目前稻莊已經陸續採收上市因氣候平順晴朗有力蒜瓣充實發育整體品質優良 蒜香濃郁 鮮辣鮮明喜愛國產蒜頭獨特風味之消費者可以把握當令時節踴躍雪枸
transcript.whisperx[564].start 25703.326
transcript.whisperx[564].end 25717.953
transcript.whisperx[564].text 也請農友採收使妥善,施算乾燥作業農友採收妥善,施算乾燥作業這是第一項第二項,國產大蒜已經在115年3月上旬陸續採收3月下旬進入盛產期
transcript.whisperx[565].start 25725.984
transcript.whisperx[565].end 25735.012
transcript.whisperx[565].text 本年預估採收面積55470公頃然後較合理的生產面積是5300公頃,增約4%這是農糧數的資料市長跟議長看了一下,你們可能懷疑我們的資料我們今年所剩的面積就是5萬
transcript.whisperx[566].start 25753.65
transcript.whisperx[566].end 25760.314
transcript.whisperx[566].text 四千多五千五百三十四公頃的款對所以我們一百十五對照一百十四給五百公頃
transcript.whisperx[567].start 25773.254
transcript.whisperx[567].end 25796.239
transcript.whisperx[567].text 給五百公斤,三年五萬四千七百多公斤,對照一百十四年四萬七千公斤,所以給重金,要給六千八百公斤,六千八百公斤你給花公斤,又花大金,要給一萬一千大金,
transcript.whisperx[568].start 25799.249
transcript.whisperx[568].end 25819.969
transcript.whisperx[568].text 所以介紹會崩壞啦介紹會不好嘛,我相信你都聽到這些消息啦好,介紹不好,農業部要做處理,行政要做處理我加這個問題一定要處理,這個時間倒不是政靠一直進來政靠的農到現在不知道,統計有多少農但是這幾天還在進來,我們每天農業部跟關稅總局不搭調
transcript.whisperx[569].start 25825.168
transcript.whisperx[569].end 25843.353
transcript.whisperx[569].text 不大調,以前沒打勁,又剛不是有那種進口算,甘討的就對了以白咱台灣,這也造成黃毅上的破口啊這個絕對造成黃毅破口然後114年度,院長可以再看一下114年度進口進來,一萬九千多噸對照113,因為我現在沒有15,對照113
transcript.whisperx[570].start 25849.773
transcript.whisperx[570].end 25871.791
transcript.whisperx[570].text 一萬三千多噸,又多了六千多噸六千多噸,發動了大金,又一萬一千多噸一萬一千,大金就對了所以,所以,特殊,人們想分頭甩身,介紹就回來,進口來衝擊啊這高雷農民,你愛去賺錢啦,我怕去韓國打就對了啦啊,多少農民,有辦法處理這件事所以農民怕,農民煩惱啊
transcript.whisperx[571].start 25880.712
transcript.whisperx[571].end 25906.786
transcript.whisperx[571].text 不可以在外面維修他的影響,是他的身體、他的膏質,是大人和小人的問題但是中國的山羊,多了這麼多,不是多了4%多了這麼多那一天部長到日本去,我有聽到社長在這邊打血很好,就是要來面對怎麼嘛,不可以給他7塊
transcript.whisperx[572].start 25908.254
transcript.whisperx[572].end 25923.1
transcript.whisperx[572].text 27塊的金額是什麼?是十年前的金額?還是什麼的金額?為什麼是說它是7塊?地料代幣賠料到現在民進黨之前以後,有看過這個代幣賠料,什麼東西都去呢?農業都去,人工都去,沒錢沒去就對了為什麼你說它是7塊?為什麼你說它是8塊?為什麼你說它是9塊?為什麼你說它是30塊?
transcript.whisperx[573].start 25934.096
transcript.whisperx[573].end 25938.919
transcript.whisperx[573].text 現在要再給政靠的,在這個時間,明早說本土選現在在採取,現在要再給政靠的,他賣這麼多
transcript.whisperx[574].start 25946.357
transcript.whisperx[574].end 25967.622
transcript.whisperx[574].text 一定知道嗎?一定要知道嗎?要怎麼處理?我跟委員報告一下第一點就是說我們今年的面積有增加我們的山羊也有增加不過我們今年在修行的時候有一些病害的部分所以產量又下修了一點這第一個但是山羊是鐵鍋這是屬實第二點就是說感謝委員針對這個蒜頭本身的產業的分析非常透徹啦我跟你報告就是說
transcript.whisperx[575].start 25973.752
transcript.whisperx[575].end 25985.89
transcript.whisperx[575].text 我們不會保價收購這是我的立場就是我們不會去啟動任何的一個保價收購因為保價收購是讓台灣農業退步的一個象徵但是我們一定會確保農民的收益
transcript.whisperx[576].start 25987.494
transcript.whisperx[576].end 26005.185
transcript.whisperx[576].text 你剛才說的說你7%、8%、9%、30%我們要怎麼去處理第一點就是說我們要確認這個希望去穩定的這個價格一定不能比進口價還高因為你如果比進口價多你又鼓勵進口又更多了所以我們會精算以現在來說
transcript.whisperx[577].start 26006.306
transcript.whisperx[577].end 26029.011
transcript.whisperx[577].text 我們工賺對美國進來是一千三百塊美金換算成我們的私算大概是28.6塊大概是28.6塊所以28.6塊應該是一個參考的一個價格在那邊但是我剛才說的我不用保價的時候我又希望說我們去協助一些
transcript.whisperx[578].start 26030.507
transcript.whisperx[578].end 26041.83
transcript.whisperx[578].text 這些合作的市場去收購的時候,他又不是收了以後馬上釋放出市場因為他媽想放去市場不好嘛,那就不好因為我時間出一分鐘啦,所以你是將來嘛你將來這個當面團體,將來這個都蓋什麼,我們配合你做什麼嘛
transcript.whisperx[579].start 26047.432
transcript.whisperx[579].end 26062.044
transcript.whisperx[579].text 但是你要立即啟動嘛,馬上來做嘛,我們不要拖累你只要你有動作,穩定、健康,這原本就是政府這件產銷調節,也是政府幫你補改做的事嘛所以今天開會結束後,我希望你可以立即馬上來做這件事
transcript.whisperx[580].start 26065.939
transcript.whisperx[580].end 26091.431
transcript.whisperx[580].text 這絕對同意 廖議員我明天就會來處理這個事情不是說要確保我們農民的收益後期我們也希望這個蒜頭不是說修理了以後不要再放出去像委員一時說的說我們後面也要做一些冰存、凍存的部分來協助讓它的蒜頭慢慢的放出去這樣接下來才會穩定以後比較多人來倒三缸嘛
transcript.whisperx[581].start 26093.092
transcript.whisperx[581].end 26097.575
transcript.whisperx[581].text 放鬆有什麼用?雖然沒有要100%啦雖然我們身份高20%、30%其實是可以過的我們會去交代嘛對不對?不打緊,這個保安先給我們比較處理這個你看,棉菜,假的
transcript.whisperx[582].start 26112.151
transcript.whisperx[582].end 26128.008
transcript.whisperx[582].text 為什麼不趕快啟動標準,然後啟動一定價格的機制部長,這可以做到嗎?就是像蒜蓉花生這一類型,我們會介紹但是因為蔬菜,等於是短期液態,一定在一缸的溫度
transcript.whisperx[583].start 26129.645
transcript.whisperx[583].end 26156.102
transcript.whisperx[583].text 但是因為一輪的時候我們會看資訊跟通訊網站通訊網站跟委員來做不是 我們很多產銷口其實我們有很多穩定的在市場的時候我們會給你價格能夠讓他們合理的對 我拜託我拜託院長特別重視這件事情好不好然後部長可能就是今天就是密集行動包含算價包含包含這個差價我們都應該馬上來應驗啦
transcript.whisperx[584].start 26163.225
transcript.whisperx[584].end 26174.788
transcript.whisperx[584].text 好 謝謝劉建國委員質詢 謝謝卓院長 相關部會首長貝琴 謝謝我們休息十分鐘 謝謝我們柯政委員 林倩琪委員以及林黛華委員陪同我們一起施政總質詢 謝謝我們現在休息
transcript.whisperx[585].start 26847.366
transcript.whisperx[585].end 26863.519
transcript.whisperx[585].text 好 報告委員會 我們繼續開會接下來請林黛華委員質詢楊瓊英文請準備好 有請卓院長麻煩再請卓院長備詢
transcript.whisperx[586].start 26872.694
transcript.whisperx[586].end 26887.391
transcript.whisperx[586].text 好 卓院長今天本席跟你討論少子化年輕人為什麼不敢生最有最強的病癮藥是什麼三個 高房價低所得以及債務失貸好 我們來看這個台灣出生率全球倒數第三
transcript.whisperx[587].start 26888.432
transcript.whisperx[587].end 26914.624
transcript.whisperx[587].text 亞洲倒數第二回歸10年前2016年出生人口還有20萬到現在10年後2025年出生人口剩10萬也就是說這10年來我們的少子化政策徹底失敗好我們來看台灣的出生率全球倒數第三亞洲倒數第二這個政府如何投入資源呢在8年前2018年7月推動的少子化對策計畫中央編列了1200億
transcript.whisperx[588].start 26915.905
transcript.whisperx[588].end 26935.246
transcript.whisperx[588].text 如果再加上地方政府的預算總共達這8年來5099.77億我們的現況是什麼在今年的一二月的出生率慘不忍睹誰說的衛福部時務長說的院長我為什麼政府花了這麼多錢為什麼年輕人還是不敢生
transcript.whisperx[589].start 26935.746
transcript.whisperx[589].end 26962.042
transcript.whisperx[589].text 本期觀點高房價高負債低可支配所得未來的不確定而讓我們的成家決策一再的延後如果把少子化只是當成育兒跟家庭價值的問題是看錯了病照好我們來看少子化的現象重整所有官方民間的為什麼不願意年輕人不願走入婚姻生兒孕的原因無外乎高房價實質所得太低高福養弊
transcript.whisperx[590].start 26962.822
transcript.whisperx[590].end 26978.978
transcript.whisperx[590].text 好 我們來看一一的解剖這些現況高負債 教育部自己講說學生既有的學貸金融年增中心也講出了信貸 車貸等負債還要面對高房價所帶來的房貸壓力學貸 信貸 車貸 房貸等交叉負債現代年輕人也難成了債務世代
transcript.whisperx[591].start 26983.662
transcript.whisperx[591].end 27011.563
transcript.whisperx[591].text 顯示現在的年輕人不是不想成家而是先背著學貸再背信貸再背車貸最後還要面對一間動輒千萬的房子好我們來看高福養餅這個是我們年輕人的心聲是無奈的心聲我既然上有老我何必還要生小孩何必下有老來看的這張圖是國發會所提供的失衡的人口監控我們看三個年段2024年在
transcript.whisperx[592].start 27013.004
transcript.whisperx[592].end 27021.37
transcript.whisperx[592].text 前年我們的每100名有工作能力的人口要撫養44.7我們30年後再往右看2059年的時候總撫養比超過100代表依賴人口將超過
transcript.whisperx[593].start 27030.737
transcript.whisperx[593].end 27045.833
transcript.whisperx[593].text 工作人口再往45年後2070年潛在的撫養比已經降到1也就是一名青壯年要撫養一名老人好這是國發會的資料我把它做了解讀好我們來看高房貸
transcript.whisperx[594].start 27046.734
transcript.whisperx[594].end 27071.765
transcript.whisperx[594].text 現在的混亂的房貸融資政策使年輕人更加的不安三個新金安現貸令跟租金補貼新金安利益良善但是卻造成了房屋交易量的過熱在六都當中趁勢達到月增11.3%年增26.1%看到現貸令也就是這樣的交易過熱的情況逼著中央銀行下了第七波的現貸令
transcript.whisperx[595].start 27072.665
transcript.whisperx[595].end 27092.277
transcript.whisperx[595].text 而呢讓這個部分的區域的成交量可以下到10%甚至20%好我們來看這個政策的矛盾新金安跟現代令的造成衝突新金安滿足了買房的剛性均衡推高了房價而迫使了央行推出了第七波的現代令讓房市快速的緊縮
transcript.whisperx[596].start 27093.197
transcript.whisperx[596].end 27116.608
transcript.whisperx[596].text 也就是年輕人是高價入市買了高價的產品房屋流動性停滯會造成什麼的隱憂一房屋流動性太低房屋可能變成負資產而且這個是正在進行是新金安的催促下年輕人急切的入市購置房屋現代零下所以一年前我購買的房屋1200萬貸款1000萬
transcript.whisperx[597].start 27118.709
transcript.whisperx[597].end 27123.87
transcript.whisperx[597].text 房價下跌18%這個是現有的房價下跌最慘的狀況18%如果以18%來房屋警說我的現值從1200萬變成984萬我借多少錢借1萬塊所以這個帳面付資產就呈現了我的房屋資產984我的房屋債務是1000萬這不是危言聳聽是高槓桿購屋者最新遇到的風險
transcript.whisperx[598].start 27146.454
transcript.whisperx[598].end 27168.614
transcript.whisperx[598].text 院長你忍心看見我們進入新清安政策的年輕人75%的年輕人這是你們的數據75%的45歲以下的年輕人是進入到新清安的40歲以下是75%所以是有這樣的一個用意但是你忍心看我們新清安政策的年輕人擁有的房子竟然變成負資產嗎
transcript.whisperx[599].start 27170.476
transcript.whisperx[599].end 27192.485
transcript.whisperx[599].text 新型案的引用二 低可支配所的困境買完了房貸之後根本沒有預生小孩我就以高雄市本身的必要生活費來做加加減減平均經常性的薪資叫47884萬元這個看在我們全台灣的年輕人的心裡叫做政府在騙我好 那也沒關係就47884
transcript.whisperx[600].start 27194.486
transcript.whisperx[600].end 27218.097
transcript.whisperx[600].text 我減掉新金安五年後的寬限期一年一個月是要繳兩萬五我再扣掉我高雄市必要的生活費一萬六千零四十塊我可支配的所得剩多少五千塊那年輕人剩下可支配所得五千塊現在的物價指數一個月五千塊能做什麼我不能生病 不能社交 不能校慶更嚴重的是我不能生小孩
transcript.whisperx[601].start 27218.897
transcript.whisperx[601].end 27243.269
transcript.whisperx[601].text 好我們講到從去年到今年政府用了極大的力量在講說軍購這本心也認同但國防軍購用兆元的規模8年1.25億的防衛韌性那也應該用同樣的國安等級重新檢討少子化的政策把資源打在年輕人的痛點什麼叫年輕人的痛點高房價高負債高扶養比
transcript.whisperx[602].start 27244.75
transcript.whisperx[602].end 27259.709
transcript.whisperx[602].text 等等武器我可以三年五年生產完成少子化可是要永續經營少子化不僅是社福資助的問題也是國防勞動照護經濟財政的共同基礎未來如果我們再不比
transcript.whisperx[603].start 27260.51
transcript.whisperx[603].end 27274.766
transcript.whisperx[603].text 我們現在國防部的軍備採購還比他更重的一個資源跟政策的大大的調整的話可能未來連操作修理武器的人維修武器的人都沒有了
transcript.whisperx[604].start 27275.287
transcript.whisperx[604].end 27296.375
transcript.whisperx[604].text 好我們看青年居住政策不能只有購屋補貼這是現在我們政府的政務就是購屋補貼看看新加坡他們除了購屋債也有公共租賃與過渡性的租住安排也把結婚生子直接連到住宅的優先權看看西方國家維也納這邊也有受管制可負擔可預期的租住體系
transcript.whisperx[605].start 27296.875
transcript.whisperx[605].end 27320.994
transcript.whisperx[605].text 中的長期生活國內的住宅政策設宅期限是6年到12年我就算住進設宅馬上生小孩我的小孩從1歲到6歲到了12歲正在念書花錢卻又要面臨搬遷的壓力這就是現在設宅有期限的窘境好 租金補貼杯水車薪好 我覺得這個地方政府的政策是可以
transcript.whisperx[606].start 27321.454
transcript.whisperx[606].end 27348.702
transcript.whisperx[606].text 除了新清安之外我覺得地方政府桃園市政府的平價宅的轉為分配宅這件事情是可以借進的他建商捐贈而且回來民眾也要轉售的話也只能轉售給政府這是現在桃園市政府可負責住宅正在事辦一坪20萬超誘人信託機制讓換屋也有出入所以地方政府他增加容積率作為獎勵這個中央政府也在做
transcript.whisperx[607].start 27349.142
transcript.whisperx[607].end 27373.496
transcript.whisperx[607].text 但是由建商捐贈一定比例作為可負擔住宅作為青年購屋重點是轉售時只能回賣給政府所以在這邊我也具體的請行政院評估自定容積獎勵政策由建商捐贈轉售時只能賣回政府作為分配宅如果這個案子有得到行政院的認同事辦計畫歡迎到我高雄市來
transcript.whisperx[608].start 27374.256
transcript.whisperx[608].end 27398.81
transcript.whisperx[608].text 我們最後這一頁請院長你直求對決讓年輕人終身住安心住把居住政策從購物補貼升級成人身安定方案有四個建議第一個延長社宅的租用期限由最長的6到12年延長為18到24年為什麼說18年就算我住進去馬上生小孩18歲剛好高三畢業
transcript.whisperx[609].start 27400.852
transcript.whisperx[609].end 27423.788
transcript.whisperx[609].text 要買房子也可以的不用讓他面臨那個孩子長那麼大18歲前我還要面臨搬遷的困擾24年這個12年啦延伸24年是針對我的最需要照顧的這些低收入的住戶給他延長20年建議方案二跟三二的部分獎勵青年婚配建立平價婚債的容積獎勵提供終身處
transcript.whisperx[610].start 27426.29
transcript.whisperx[610].end 27453.906
transcript.whisperx[610].text 這樣的平價宅我可以終身租給你我也可以讓你買得起如果你生了第二胎第三胎我優先讓你換租跟換購到較大面積的平價婚配宅以自己青年的成家生育建議三改善年輕人的撫養比我要照顧老又要照顧小我這麼高的撫養比解決育兒跟撫老的問題鼓勵三代同堂如果真有民眾三代同堂民眾提出
transcript.whisperx[611].start 27454.326
transcript.whisperx[611].end 27483.966
transcript.whisperx[611].text 我就提出設定99年的地上屋的設定99年的租用較大面積設宅及優先購買較大面積的平價宅的宅配來解決我這麼高的老年化的社會建議是顏理新清安五年利息補貼期滿後的因應方案對貸款人的影響跟財務評估顏理新的壽性機制以維持年輕人的生活條件院長您針對這樣的具體建議有什麼
transcript.whisperx[612].start 27485.267
transcript.whisperx[612].end 27503.818
transcript.whisperx[612].text 好 謝謝委員很清楚的說明了這個少子女化的原因跟解決的方式同樣的我們也清楚像上個世紀末我們的人口開始出生率開始往下降所以現在會生育的青年人人數就是一直在往下降也是雙重的這種因素造成的
transcript.whisperx[613].start 27504.338
transcript.whisperx[613].end 27526.269
transcript.whisperx[613].text 那當然現在整個氛圍不婚比例也相當高所以我們一直希望能夠讓年輕人多多的結婚我常常說我很少參加過極端結婚我覺得政府有用心 非常用心可是我覺得應該要陽性如果在兩年後 2028年後我們的十年少子化的對應政策就期滿了已經要嚴厲 現在也要開始嚴厲
transcript.whisperx[614].start 27527.79
transcript.whisperx[614].end 27555.637
transcript.whisperx[614].text 要不要有第二階段我認為第二階段要大大的揚氣不要再大量補貼你的利息了因為證明沒有用而且你要面對痛點剛才講的高房價高扶養比高負債包括可低可支配所得這件事情這才是年輕人你要年輕人的選票如果你能夠解決他這四個問題讓他好好的生活在台灣我覺得這比我們
transcript.whisperx[615].start 27557.837
transcript.whisperx[615].end 27586.705
transcript.whisperx[615].text 不好意思 如果這兩個硬要選擇先解決我國內這個問題比你一再的講說我的這個軍公案多好 多重要可是你完全忽略我年輕人現在痛在哪裡現在連痛在這邊啊所以在委員提的這個終身朱安心柱之前我們現在其實也有幾大政策比如說鼓勵大家結婚減精育兒的負擔 這個都做了另外就是希望建立一個友善的職場包括剛剛上個委員所提的
transcript.whisperx[616].start 27589.187
transcript.whisperx[616].end 27608.481
transcript.whisperx[616].text 育嬰留職的部分另外就是支持育兒家庭的穩定居住政策這個也有了還有就是強化孕婦這個是前面的後面可能要建立這一段現在我們還有一個想法就從一個人的生育、教育、養育給他切三段如果在生育這個階段
transcript.whisperx[617].start 27609.682
transcript.whisperx[617].end 27634.757
transcript.whisperx[617].text 我們用更多的資源下去鼓勵大家小孩子出來之後政府就能夠承接現在我們的所有的政府民間的資料顯示第一個高房價才是最高的備孕藥最高房價你沒解決他住的問題他就是不想生啊我們有支持婚育家庭的居住的穩定政策這裡我們有處理到這一點
transcript.whisperx[618].start 27636.218
transcript.whisperx[618].end 27653.346
transcript.whisperx[618].text 你調到那一頁那個我們人民的痛點新金安的那個來下一頁好這個好這個這個不是我講的這是所有你們的研究報告高房價實質所得太低高撫養比高把這個實質所得太低當中有的就是高負債
transcript.whisperx[619].start 27654.947
transcript.whisperx[619].end 27681.882
transcript.whisperx[619].text 所以高房價實質所得太低高撫養比才是人民的痛點當然你講到友善職場這是對的可是他不是實質會讓我年輕人真的不生的最大因素啊所以今天的在看到我的建議的二三四院長沒關係這個其實動者牽一髮而動全身這個您願不願納入這個您的第二你們現在有沒有第二階段的少子化的研議了
transcript.whisperx[620].start 27683.482
transcript.whisperx[620].end 27699.889
transcript.whisperx[620].text 一直在做很多相關的政策,多元進行,不單只是對房價部分而已所以對於這個少子化的部分,就是2028年截止往後我們這個少子化的這個政策從2018年到2028年結束之後就沒有了是嗎?當然還有沒有一個統整性嗎?
transcript.whisperx[621].start 27702.29
transcript.whisperx[621].end 27727.191
transcript.whisperx[621].text 當然還有我們這個有政委的層級也在主持相關的會議好 那院長是不是您現在就正式啟動我們第二階段的少子化的因應專案因為這是由國發會主導然後你要主著你現在要交代哪一個政委他就必須很嚴肅包括未來我會針對一些減稅到我們財政部這邊我會繼續再加碼包括我的年輕婦女如果你講到育兒
transcript.whisperx[622].start 27728.912
transcript.whisperx[622].end 27747.893
transcript.whisperx[622].text 這個不是我今天的重點但是如果你講的話我只要生育一胎我是不是要減免這個女性的所得稅我減免了第二胎我又減免她多少稅如果我減免她生第三胎我就減免她多少稅甚至可以高達減免她60%到70%的所得稅她的個人所得
transcript.whisperx[623].start 27750.015
transcript.whisperx[623].end 27778.196
transcript.whisperx[623].text 這都是納入裡面 實質獎勵跟降低負擔兩個方向都可以從此來選對 所以院長這其實是整套我只是今天針對房屋住宅就是人民的痛點高房價 高負債然後高扶養比等等可知低資配所得跟你來救教其實這才是我今天少子化最重要的原因所以今天的這邊所有的一到四是不是納入你第二
transcript.whisperx[624].start 27784.551
transcript.whisperx[624].end 27800.286
transcript.whisperx[624].text 好 謝謝林鄧花委員質詢 謝謝卓院長 相關部會首長備詢 謝謝好 接下來我們今天最後一位質詢委員 楊春瑩委員請質詢
transcript.whisperx[625].start 27812.115
transcript.whisperx[625].end 27821.422
transcript.whisperx[625].text 謝謝院委主席 韓院長我們行政院卓院長所領軍的團隊 各位同仁兄弟的朋友楊瓊發言 首先邀請卓院長麻煩再請卓院長備選楊委員好
transcript.whisperx[626].start 27833.435
transcript.whisperx[626].end 27844.6
transcript.whisperx[626].text 主計總署在2月份公布了最新的經濟預測將今年的經濟成長由原先的3.5%大幅提升了4.17%換句話說公布的答案是7.71%
transcript.whisperx[627].start 27849.742
transcript.whisperx[627].end 27867.75
transcript.whisperx[627].text 那隨著中東的戰事升溫國際油價劇烈的波動石油下游的這個石化業下游的原物料比如說PE PPC這些的成本上升了那一開始會衝擊到什麼呢基本的在市場上的手搖飲網購的這個包材等
transcript.whisperx[628].start 27871.412
transcript.whisperx[628].end 27885.197
transcript.whisperx[628].text 這是實際上民生最直接影響到的物價那我看到在我們的經濟部你們現在目前的方向基礎是建立在穩定通膨的假設上以這個基礎
transcript.whisperx[629].start 27887.258
transcript.whisperx[629].end 27902.367
transcript.whisperx[629].text 但是如果油價每漲10%我們的GPI就會提升大概是0.20%在這樣的情況之下對於穩定物價小組的具體應變措施以及針對我們整個中小企業
transcript.whisperx[630].start 27902.947
transcript.whisperx[630].end 27926.712
transcript.whisperx[630].text 所做到的這個衝擊我們的協助方案協助預算那我看到目前我們有大方向但細節的部分還沒有也就是我們缺乏了壓力測試的一個配套措施所以在這邊我們只要請教也就是說如果我們7.71%我們建立的是在和平跟低油價的這個假設上
transcript.whisperx[631].start 27928.672
transcript.whisperx[631].end 27949.828
transcript.whisperx[631].text 但是一旦现在我们看到很多的不确定性战火延烧不知道到什么时候的这个情况之下产业的扶植是我们在基层上面非常关注的一个焦点所以怎么样能够帮助在因为战争原有调整包括了包产
transcript.whisperx[632].start 27950.709
transcript.whisperx[632].end 27963.705
transcript.whisperx[632].text 油耗成本來提升那這些的微型的企業我們要怎麼樣去協助他所以本席首先要請教也就是我們最近要召開的這個電價審議委員會最近要召開
transcript.whisperx[633].start 27967.009
transcript.whisperx[633].end 27988.875
transcript.whisperx[633].text 那經濟成本經濟成長如果依照我們二月份所宣布的當然這個方向是在和平低優價的情況但是我們現在面臨到的是不一樣的這個情況所以在通膨跟戰爭物價波動這個我們看到是有這個影像已經在提升那所以本期要請教
transcript.whisperx[634].start 27989.355
transcript.whisperx[634].end 28000.011
transcript.whisperx[634].text 短期內是不是應該電價要動漲來協助我們這些產業請教尤其是微型電也微型的這個產業請教院長好 謝謝楊委員國際情勢持續緊張可能還要持續
transcript.whisperx[635].start 28006.754
transcript.whisperx[635].end 28031.916
transcript.whisperx[635].text 一個相當的時段那麼國際情勢所造成的經濟的變化因素我們最怕的是什麼最怕就是我們對這個因素掌握不清楚如果是因為戰爭單一的因素我們是可以看到這個可能的影響我們可以做很多的分析的目前就是這個狀況所以針對能源你看從由的上禮拜到這個禮拜政府採取雙平反的方式
transcript.whisperx[636].start 28032.591
transcript.whisperx[636].end 28048.49
transcript.whisperx[636].text 也啟動了專案的平衡方式讓它能夠由政府來吸收為的也就是讓民生能夠穩定下來這個回答非常好大宗物資我們把它延長延長貨稅的時間把它延長讓大家能夠進口的
transcript.whisperx[637].start 28051.038
transcript.whisperx[637].end 28078.621
transcript.whisperx[637].text 接近我們的關稅能夠穩定下來這個我們要把它延長時間到9月所以種種的措施做下來我們期待在這個期段當中就能夠看到國際趨勢改變我們就有能力來調整那目前主計總數所預計的這個數字當然是一個目標本來就是一個很高的目標那現在這個變化還在進行當中我們是極力在這個目標底下用盡所有的方法來穩定民生來穩定物價
transcript.whisperx[638].start 28079.981
transcript.whisperx[638].end 28094.79
transcript.whisperx[638].text 來因應國際情勢至於您說的電價因為一直是電價的這個審議委員會在主導在決定我們只希望他能看到目前社會的現象國際的局勢能夠跟政府採取這樣的一個立場由電價審議委員會來做最終的討論
transcript.whisperx[639].start 28097.418
transcript.whisperx[639].end 28122.979
transcript.whisperx[639].text 非常謝謝院長你的回答你說希望電價選議委員會朝著政府現在所做的黃小玉的部分我們原本是到3月底的減稅那現在已經延長半年也就是9月那換句話說政府有看到我們不知道國際情勢的變化而且是非常的嚴峻持續的嚴峻所以在這樣的情況之下本席還是回歸到
transcript.whisperx[640].start 28123.8
transcript.whisperx[640].end 28129.827
transcript.whisperx[640].text 因為電是一個根本產業最重要的必要條件的根本因子所以在這樣的情況之下您剛才所說的本席都非常的贊成因為你知道
transcript.whisperx[641].start 28146.084
transcript.whisperx[641].end 28166.961
transcript.whisperx[641].text 我們面對到國際的情勢勢必一定會受到波及物價如果我們政府沒有控管的時候沒有協助的時候那一定會通膨所以再一次請教剛剛你回答很好說希望水利委員會跟你的立場是一樣也就是協助也就是動漲是不是如此
transcript.whisperx[642].start 28167.674
transcript.whisperx[642].end 28185.258
transcript.whisperx[642].text 我們希望以民生穩定來跟全國的人民來度過現在這個狀況那電價審議委員會都是這方面的專家我們通常是不去做任何指導性講話等等在希望他們能夠看到這個現象我認為他們的關心跟我們的關心應該會是一致的
transcript.whisperx[643].start 28185.518
transcript.whisperx[643].end 28211.533
transcript.whisperx[643].text 所以一致的你的立場也希望在這個時間點應該是要動漲讓我們的民生絕對物價不可以再同盤是不是如此朝這個方向這是行政院現在在說所有穩定物價最高的原則最高的原則也就是在目前大家看到這個議題也這個現象要協助要穩定物價所以這一次的電價一定要動漲朝這個方向是嗎
transcript.whisperx[644].start 28212.915
transcript.whisperx[644].end 28229.288
transcript.whisperx[644].text 最後的結論還是有電價審理委員會來表達所以在行政院長你高度的這個立場裡頭這個方向也就是要平穩物價嘛是不是平穩物價對所以首先就是要動長我們的電價是嗎這兩個字我不宜在這裡講
transcript.whisperx[645].start 28230.097
transcript.whisperx[645].end 28246.436
transcript.whisperx[645].text 不可以在這邊講 但是你的方向是如此是不是你不能做決定 但是你可以有一個方向我當然希望國人的生活都能在這個時間點能夠比較平穩安定的度過平穩安定就是動場我希望沈議員會聽到統裝瓦斯的部分
transcript.whisperx[646].start 28247.911
transcript.whisperx[646].end 28276.732
transcript.whisperx[646].text 當時我們一直喊統裝瓦斯是民生第一線所以我也要謝謝也就是現在是到三月底統裝瓦斯動長是到三月底請教今天已經三月十七號現在兩個禮拜的時間就要到了剛剛我們首先講的連電我們都要動長平穩物價那請教我請求也就是為我們的民生來請求也就是這個統裝瓦斯我務必一定要再延
transcript.whisperx[647].start 28277.712
transcript.whisperx[647].end 28297.224
transcript.whisperx[647].text 請教院長大原則也是如此剛剛說的如此我們一方面要觀察整個國際局勢的變化我們現在宣布的我們之前要求的也就是你們宣布的是三月底統中瓦斯動場會不會再延長動場到下一季一方面要再觀察國際局勢的變化但是我們秉持的原則是一樣的
transcript.whisperx[648].start 28297.952
transcript.whisperx[648].end 28315.153
transcript.whisperx[648].text 品質的原則是一樣難得的一樣非常好都是為民生所以因此也就是在我們的統裝瓦斯的部分因為剛剛你已經說到國際情勢的一個嚴峻而不可抗拒的一個形態所以如果這一些的形態持續在增加的時候院長
transcript.whisperx[649].start 28315.854
transcript.whisperx[649].end 28331.332
transcript.whisperx[649].text 是不是我們的統裝瓦斯是在每一個家庭都需要用到在小吃店都需要用到的這是直接決定要不要通漲要不要通本的一個問題那是不是我們應當三月底之後統裝瓦斯仍舊再延一季請教
transcript.whisperx[650].start 28332.529
transcript.whisperx[650].end 28356.113
transcript.whisperx[650].text 如果說國際局勢持續的緊張但我們一方面也要考慮到中油在這一兩週之內已經吸收了很大的財務的負擔我們要考慮到未來財務負擔如何但這個還是要擺在民生經濟安定之後的考量先考慮社會謝謝你一句民生安定也就是我們行政院的物價平穩的這個小組裡頭的最重要的精髓
transcript.whisperx[651].start 28356.733
transcript.whisperx[651].end 28373.031
transcript.whisperx[651].text 所以我再一次強調也再一次要求跟拜託統裝瓦斯是針對第一線物價是不是會通膨的關鍵決勝者所以一定要在三月底之後再延長我現在首先率先要求再延長一季
transcript.whisperx[652].start 28373.732
transcript.whisperx[652].end 28396.774
transcript.whisperx[652].text 因為你的黃小玉都延長半年本席就要求你依照現況依照現況條件因子不可抗拒是存在的所以必須要延長一季坦白跟委員說很多委員都向我表達這樣的意思我請部長好好的去研究好所以你是同意這個方向嗎我們希望因為剩下兩個禮拜趕快告訴我們民眾讓大家的安心
transcript.whisperx[653].start 28398.095
transcript.whisperx[653].end 28418.767
transcript.whisperx[653].text 統裝瓦斯的動漲再延長一季中油的部分我們當然盡量往物價平穩的方向來設計但是統裝瓦斯還是有台塑我們也跟他來做協商看看但是不敢台塑的部分你率先動作來做我謝謝我們的統裝瓦斯在3月底之後還是動漲至少先延到一季的時間
transcript.whisperx[654].start 28420.608
transcript.whisperx[654].end 28446.506
transcript.whisperx[654].text 謝謝讓我們全國的民眾都能安心知道政府有在做事情知道我們是在為民生這個非常重要院長是不是很多委員都表達同樣的意見我們都聽到了所以你會朝這個方向因為剩下兩個禮拜好 謝謝你的點頭我謝謝你接下來我們來談AI148億的先進研發預算裡頭如果沒有電就沒有AI了
transcript.whisperx[655].start 28448.903
transcript.whisperx[655].end 28466.201
transcript.whisperx[655].text 電是最重要的所以我們希望來台灣國際的廠來台灣設立AMD等來台灣設立研發中心要推動的兩奈米以下的製程那這些尖端的研發每一項都是吃電的怪獸
transcript.whisperx[656].start 28467.122
transcript.whisperx[656].end 28483.814
transcript.whisperx[656].text 它電力要很多所以我們要有所做準備所以經濟部的要請教我們的電力基礎真的可以撐起這樣子的一個高產值跟高後能的研發夢嗎我希望政府要做得到而且務必要做得到
transcript.whisperx[657].start 28484.814
transcript.whisperx[657].end 28497.098
transcript.whisperx[657].text 經濟部一邊要推動的領航企業的深耕計畫來輔助外商來談 非常好但是另外一方面又要對我們本土的產業說電力供應吃緊 說要漲電價這個我們本土的傳統產業是受不了的
transcript.whisperx[658].start 28503.96
transcript.whisperx[658].end 28528.691
transcript.whisperx[658].text 所以在這樣的情況之下本席要請教我們預估的148億的投入你們的KPI指數也就是會有多少的企業界會來進駐那你有沒有去評估因為你有一個數字148億出來了部長所以你一定有評估有多少人要進駐有多少人要進駐你的需求量的電力的需求到底是什麼國際廠
transcript.whisperx[659].start 28531.332
transcript.whisperx[659].end 28553.057
transcript.whisperx[659].text 國際廠都有嚴格的百分之百的R1他們的一個承諾 對不對R100的承諾 綠電100所以在這樣的情況之下本席要請教 我們要考慮我們希望都能夠進來但是我方的準備到底是怎麼樣不要因為我們的電力不足而讓人家再轉向這是本席不希望看到的
transcript.whisperx[660].start 28554.077
transcript.whisperx[660].end 28580.684
transcript.whisperx[660].text 請教院長對如果是資料中心的話那當然要有一些算力作為基礎當然那我們當然是希望就是說電的發電量供應現在看起來至少到目前來講是比較沒有但是電網的部分因為他很多如果你要放在比較人口的密集的地方因為他的這個算力需要比較大的這個電量基礎要到
transcript.whisperx[661].start 28581.428
transcript.whisperx[661].end 28604.751
transcript.whisperx[661].text 要蓋比較高壓的電這樣的話可能就要有些準備時間所以我們希望說你如果要蓋算力中心的話儘早讓我們知道然後要準備這些電網但是我們還是希望說如果這些算力中心電力中心可以比較靠近電廠的話我覺得那個是比較好的一個方式不用拉很多的電線到比較人口密集區去
transcript.whisperx[662].start 28605.831
transcript.whisperx[662].end 28630.033
transcript.whisperx[662].text 部長你有計劃但是你的回答不是很成熟因為你既然每一分錢都是人民的納稅錢你既然有提出了一個148億你絕對有你的KPI院長要多少廠商進駐你的電力要多少你這個務必一定要有配套不然你的148億怎麼出來的所以針對這一點
transcript.whisperx[663].start 28631.414
transcript.whisperx[663].end 28644.82
transcript.whisperx[663].text 本期具體要求你把它計算好因為本期不希望人家來投資結果說我們的電力不足要轉向轉到日本轉到新加坡這不是我們所願的當然是研發是研發的補助不是設電力中心不對 你不要亂講話
transcript.whisperx[664].start 28655.405
transcript.whisperx[664].end 28669.901
transcript.whisperx[664].text 對不對你們有這個前途要去補助這些你的配套要怎麼做請你詳細把你的規劃剛才本席特別說的這兩點請你書面資料給本席我們希望能夠台灣有國際的場能夠進來
transcript.whisperx[665].start 28672.264
transcript.whisperx[665].end 28689.061
transcript.whisperx[665].text 這樣子才是我們台灣越來越進步跟世界接軌所以你把書面資料給本席接下來本席要跟您討論的是在我們整個產業研發跟能源供應的方面我提出了三點第一個你研發電力的一個配套剛剛本席所說的
transcript.whisperx[666].start 28689.702
transcript.whisperx[666].end 28704.458
transcript.whisperx[666].text 我希望你一周之內經濟部你可以給本席因為你一定會有他的配套也就是目前我們預估在AI數據當中我們預估的新增的電力到底是要多少還有我們對應的這個區塊他要怎麼樣穩定的計畫
transcript.whisperx[667].start 28708.562
transcript.whisperx[667].end 28727.168
transcript.whisperx[667].text 這一點是非常重要國際在場要進來人家也要聽到我們到底有沒有這個能耐我覺得我們要自己把我們自己的條件告訴人家然後讓人家可以進來這一點是非常重要第二個綠電優先供應的這個排序我們知道國際的研發中心他在綠電的要求
transcript.whisperx[668].start 28727.788
transcript.whisperx[668].end 28750.538
transcript.whisperx[668].text 那麼所以我要請教經濟部你會不會確保大廠吃飽我中小企業尤其我們中部地區我中小企業為了餓死啊你這個排擠效應要怎麼安排不會因為我們有區隔開來就是台電自己開發的這些電廠就是綠能電廠是有一部分的比例是留給中小企業用的
transcript.whisperx[669].start 28751.991
transcript.whisperx[669].end 28776.622
transcript.whisperx[669].text 你要去攀點因為我們中小企業韌性非常強院長我們不管怎麼樣我們還是咬緊牙根撐住所以政府必須要責任要全力協助他們不能犧牲這些中小企業你要承諾喔不能犧牲我們的中小企業承諾好接下來第三個韌性電網的這個部分就剛剛本席所說的
transcript.whisperx[670].start 28777.182
transcript.whisperx[670].end 28805.614
transcript.whisperx[670].text 你們在這個部分你的智慧電網跟存能設備存能技術有沒有包括在這裡面這兩項你有沒有包括如果是大的韌性計畫十年五千億那個不是這個計畫它是一個比較有點像高速公路直接到工業園區然後跟民生用電把它區開所以你就是沒有嘛所以本席告訴你你應該要運用AI來優化我們自己的電力調度的韌性
transcript.whisperx[671].start 28807.074
transcript.whisperx[671].end 28825.648
transcript.whisperx[671].text 這個會有啊台電已經開始在做了所以他的這個電源現在的這個控制就是他的控制室基本上都已經導入AI的系統你把你們現在預計要怎麼做請書面資料給本席那本家要告訴經濟部的也就是研發的經費他不是空中羅格
transcript.whisperx[672].start 28826.729
transcript.whisperx[672].end 28842.81
transcript.whisperx[672].text 本席認為我們也不能只有當一個研發的這個善台同志因為能源是全世界非常重要比照國安的議題在運作在佈建在規劃所以呢我們應該要當能源的這個守門員
transcript.whisperx[673].start 28843.931
transcript.whisperx[673].end 28865.108
transcript.whisperx[673].text 能源的守門員怎麼樣去分配我們現有以及預計應該有的這些能源非常的重要因為只有解決能源的焦慮我們的產業才能夠真正的蓬勃發展所以針對剛剛以上本席所要的資料也請在這個時間之內給本席接下來本席要跟你院長討論的也就是最近
transcript.whisperx[674].start 28866.108
transcript.whisperx[674].end 28895.408
transcript.whisperx[674].text 你們也提出了這個新核能技術我覺得我非常的贊同因為我們長期在經濟委員會我們一直在討論一直在討論那提出了你們提出了更務實跟更開放的這個態度呢這是一個正確的方向是一個正確的方向我當然當過這個民意代表在我們的產業界最怕的是什麼他不怕的是政策的轉向他最怕的是什麼他最怕的是電看得到吃不到
transcript.whisperx[675].start 28896.81
transcript.whisperx[675].end 28905.107
transcript.whisperx[675].text 因為這個是源頭所以在這樣的情況之下工商時報他也特別說了他特別說了 社論他說停滯性的通膨壓力
transcript.whisperx[676].start 28906.499
transcript.whisperx[676].end 28925.12
transcript.whisperx[676].text 停滯性的通本壓力不會啦我們現在的物價上漲率還不到2%經濟的成長剛剛提到可能超過7%我也希望是如此但是那些都是在低油價以及和平平和的立場所以部長你要回答議題的時候請你要
transcript.whisperx[677].start 28926.161
transcript.whisperx[677].end 28953.334
transcript.whisperx[677].text 要納入我們目前的樣態接下來本期要跟您討論的是因為停滯性的通膨的壓力它背後反映的是企業界對於穩定且具備有競爭力的電價它是極度的焦慮所以剛剛本期才一直跟院長在討論希望這一次的電價一定要動漲的這個原因我們也朝著這個方向
transcript.whisperx[678].start 28953.954
transcript.whisperx[678].end 28974.914
transcript.whisperx[678].text 所以本期繼續要跟你討論也就是說我們能源轉型如果它只有一個願景但是它沒有工程時程表如果沒有工程時程表那這個不確定性可以說是經濟最大的一個緊張跟危險所有的發電的設計都有一個時程表
transcript.whisperx[679].start 28975.655
transcript.whisperx[679].end 29001.377
transcript.whisperx[679].text 好 所以你有一個時間表我繼續跟你討論我們現在的核電廠在利用核三廠一號機是在2020年的7月已經這個停機二號機是在去年2025年5月份的停機那麼根據核能的專家他去評估核電廠如果可以成功的研議他每一度的電成本大概是1.1到1.5塊
transcript.whisperx[680].start 29003.158
transcript.whisperx[680].end 29017.467
transcript.whisperx[680].text 比遠低於燃氣發電的多少 3.5塊以上喔 還以上 燃氣以上所以院長台電預計 我們在經濟委員會一直討論也一直希望速度加快院長
transcript.whisperx[681].start 29018.428
transcript.whisperx[681].end 29042.336
transcript.whisperx[681].text 台電預計在這個月底他要提出了再運轉計畫所以本市要請教在確保安全無虞的這個情況之下那麼行政院你是不是跟何安會有做過討論希望他在整個簡化行政程序審查這個程序 簡化這個時間點有沒有討論過
transcript.whisperx[682].start 29043.988
transcript.whisperx[682].end 29070.1
transcript.whisperx[682].text 台電提出再一轉計畫之後他已經先前有一個自主安全檢查這個都要經過核安會的審定但是因為檢查是OK的才會在3月底要送嘛所以你整個的審查程序是不是要討論可以怎麼樣去簡化程序就算再簡化安全也不能被檢查所以本期第一個議題就是安全無虞所以安全的問題我們就交給核安會他就是一個獨立的機關讓他從程序問題上
transcript.whisperx[683].start 29070.94
transcript.whisperx[683].end 29081.627
transcript.whisperx[683].text 全面做安全的把關那這個我們是希望台電能夠做充分的準備提出的再運轉計畫或是之前做的自主安全檢查都能夠經得起
transcript.whisperx[684].start 29101.2
transcript.whisperx[684].end 29127.102
transcript.whisperx[684].text 在安全無虞的時間因為你也知道那要幾年的時間啊河岸為了審查它是並行的再運轉計畫是一部分還有我們的自主安全檢查是一部分那自主安全檢查我們會跟原廠西屋公司自主安全檢查又是另外一個議題部長你不要岔開議題所以本席請教我們預計什麼時候可以看到河山廠重新併網
transcript.whisperx[685].start 29128.985
transcript.whisperx[685].end 29145.585
transcript.whisperx[685].text KPI是什麼時候?自主安全檢查台電已經跟CU公司簽訂MOU也開始啟動但是無論是自主安全檢查或是再運轉計畫我們也要知道說裡面所有需要更換的設備更新調整都能夠沒有問題
transcript.whisperx[686].start 29147.106
transcript.whisperx[686].end 29161.207
transcript.whisperx[686].text 這個就是在本席剛剛議題中的安全無語的前提之下四個字已經告訴你了安全無語的前提之下所以本席也希望我們大家好不容易有一個理念這個都一樣也就是
transcript.whisperx[687].start 29163.129
transcript.whisperx[687].end 29187.903
transcript.whisperx[687].text 這個河山廠的這個部分要怎麼樣重新能夠去併網然後來幫助我們平衡目前的這個結構性的通膨壓力我想這個是一個很重要的一個里程我們希望能夠達成成功部長剛剛有講過了即使我們現在對於現在的用電並沒有大的疑慮但是我告訴委員最不想讓全國缺電的是誰是台電
transcript.whisperx[688].start 29189.448
transcript.whisperx[688].end 29213.017
transcript.whisperx[688].text 他可以發電他一定會照程序院長你現在身為一個院長行政院你所做的事情不是今天不是這個月不是下個月你可以告訴我們的你的能源三月無綠四月也無綠五月你可以買更高的櫃更高的能源這是你告訴我們的本席倒備如流你不是你是一個行政院長
transcript.whisperx[689].start 29214.618
transcript.whisperx[689].end 29221.033
transcript.whisperx[689].text 對不對 你怎麼可以說我現在無率我請問你五月份你買高的貴的能源會不會漲價
transcript.whisperx[690].start 29222.82
transcript.whisperx[690].end 29242.2
transcript.whisperx[690].text 我們產業很緊張耶我剛剛是說部長跟大家都說過我們現在供電是穩定的所以你這個穩定我希望能夠呈現接下來我請教院長跟部長童子賢董事長他之前公開的呼籲了他說昂貴的電價對民眾是不公平的
transcript.whisperx[691].start 29244.822
transcript.whisperx[691].end 29270.111
transcript.whisperx[691].text 昂貴的電價對我們就是不公平的這一句話點出了什麼呢經濟上的能源正義經濟上的能源正義 請你聽清楚高科技產業他有能力去買更貴他多少都可以全部買來我們現在產業就是如此可是我一般的深斗小民我沒有辦法去買這個高的電所以我一直拜託要動漲所以好
transcript.whisperx[692].start 29274.292
transcript.whisperx[692].end 29288.405
transcript.whisperx[692].text 所以我要為台中說一句話台中的民意代表楊瓊怡我必須要加碼的提醒我們的院長一個沉痛的不公平也就是健康上的能源正義
transcript.whisperx[693].start 29289.486
transcript.whisperx[693].end 29311.892
transcript.whisperx[693].text 健康上的人員正義所以請經濟部跟台電如果我們的河山廠運轉並往成功不管是未來我們引進了所謂的SMR說小型的那都好就是來補充我們的機載電力在這樣的一個情況之下每增加一度的
transcript.whisperx[694].start 29313.052
transcript.whisperx[694].end 29327.704
transcript.whisperx[694].text 零碳電力都要優先來用來實質處理中火的燃煤之主給台中市民一個明確的無煤的時刻表請在院長
transcript.whisperx[695].start 29329.265
transcript.whisperx[695].end 29348.167
transcript.whisperx[695].text 請教院長在台中火力發電廠我們曾經跟台電到現場看過也看過很多次會建一拆一的方式他的目標是在2034年那我希望他提前到2032年就能夠做有效的管制那目前希望他
transcript.whisperx[696].start 29348.988
transcript.whisperx[696].end 29369.236
transcript.whisperx[696].text 也新的燃氣機組的工程能夠順利進行這個也需要台中市政府跟各位民意代表共同來支持台電現在進行是ING當中所以本席要請教也就是核商場運轉之後因為你有曾經說過如果電力不夠要啟動燃煤機組我們很緊張
transcript.whisperx[697].start 29370.336
transcript.whisperx[697].end 29382.423
transcript.whisperx[697].text 所以我要為了我們整個健康上的能源正義我要發聲所以我很請教也就是說你未來你充分的這個這個積載電力是夠的的時候是在執行的時候你增加的每一度
transcript.whisperx[698].start 29394.07
transcript.whisperx[698].end 29420.788
transcript.whisperx[698].text 零碳電力 你要優先優先來用在實質廚藝 藍美機組院長你可以承諾嗎是 藍美機組重新備用的啟動用它是一個最終的不得已的手段我們最先淘汰的的確就是藍美機組院長我聽到你這個我真的請你針對本席的提問因為我們就是很緊張你說如果不夠我一定把你火力全開你燒下去
transcript.whisperx[699].start 29421.869
transcript.whisperx[699].end 29449.406
transcript.whisperx[699].text 我們很緊張我們的健康所以我才會跟你講一個原則問題院長你請聽清楚本期沒有跟你討論這個問題也就是如果你在河山廠之後你的電力機載它開始運轉的時候你每一個淨零碳排的零碳電力的時候那你應該把這些優先來太救燃煤機組這個原則你可以答應啊
transcript.whisperx[700].start 29451.514
transcript.whisperx[700].end 29473.909
transcript.whisperx[700].text 這個才是真正照顧我們的健康的能源正義啊各個電廠燃煤機組的拆除或是太久都會按照原來的時程我們盡量把它提前但是不是突然間要全部把燃煤機組都把它拆掉你講這個不成熟的回答因為你之前沒有河山廠的問題所以用煤量會降下來
transcript.whisperx[701].start 29475.43
transcript.whisperx[701].end 29502.885
transcript.whisperx[701].text 何山長何時要重啟所以我本席告訴你的是一個原則的問題何山長哪一天可以重啟重新再運轉這都是一個尚未知的日子不是尚未知的問題喔我不能在這裡跟一個話一個本席沒有跟你承諾沒有要求你承諾什麼時候回答喔什麼時間點喔本席是說如果我們現在好不容易已經朝著這個軌道在走了嘛我們希望能夠成功嘛那成功之後你應該應許
transcript.whisperx[702].start 29504.947
transcript.whisperx[702].end 29527.408
transcript.whisperx[702].text 我們同意委員就是所有包括台中火力發電廠在內燃煤機組我們按計畫來把它拆除按計畫拆除是現在的計畫但是加注其他的因子你必須要調整嘛如果我們有新的能源供應的時候我們當然會調整計畫可以往前推就是實質廚藝中火的燃煤機組
transcript.whisperx[703].start 29528.715
transcript.whisperx[703].end 29549.686
transcript.whisperx[703].text 如果有充裕的其他新的計畫的時候有其他新的能源供應的時候我們當然有能力來調整這個計畫那現在我不能說我會調整到什麼時候有能力來調整這個計畫也就是同意優先來退出產業基礎我就希望他調到2032這個是我們可以做得到的
transcript.whisperx[704].start 29551.027
transcript.whisperx[704].end 29575.841
transcript.whisperx[704].text 你還可以再提早啦因為我們現在全力支持這個燃氣燃氣現在進度超前嘛這個我們一分一秒每一個我們都在監督啦對不對就是我們中部地區健康的問題啊我也要謝謝你啦同意也就是說我們每增加的每一度這個零碳的電力你優先來汰除這個優先來汰除這個這個南美的機組中國的南美機組
transcript.whisperx[705].start 29581.442
transcript.whisperx[705].end 29601.513
transcript.whisperx[705].text 會減煤降煤而且你速度要比現在還要快這才是重點所以我就要告訴院長我們不能接受說你電費漲了那剝奪我們的荷包但是空屋卻沒有少而剝奪我們的健康這是我在我們中部地區裡頭我們非常的希望你的
transcript.whisperx[706].start 29602.934
transcript.whisperx[706].end 29620.992
transcript.whisperx[706].text 電網更新跟空屋的一個房子你要並行因為這攸關了每一位在台中的母親她關心的她的孩子的一個呼吸權每一年都有改善的一個呼吸權這個非常的重要所以我要告訴你說高經濟不能犧牲好空氣
transcript.whisperx[707].start 29621.773
transcript.whisperx[707].end 29635.08
transcript.whisperx[707].text 而且拼金鈴你也不能剝奪我們的老百姓我希望剛剛我們共同所討論的也就是太除中火的藍莓基礎在金鈴店的這個部分可以優先來處理
transcript.whisperx[708].start 29645.595
transcript.whisperx[708].end 29660.877
transcript.whisperx[708].text 不過因為我們本日排定的質詢委員均已經質詢完畢謝謝左院長、政府院長各位列席的部會首長現在我們做以下決定下次會議繼續進行施政方針及施政報告之質詢再次謝謝柯志恩委員陪同我們一起參與施政總質詢現在散會