iVOD / 16316

Field Value
IVOD_ID 16316
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16316
日期 2024-11-28
會議資料.會議代碼 委員會-11-2-20-10
會議資料.會議代碼:str 第11屆第2會期財政委員會第10次全體委員會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 10
會議資料.種類 委員會
會議資料.委員會代碼[0] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第11屆第2會期財政委員會第10次全體委員會議
影片種類 Full
開始時間 2024-11-28T08:31:16+08:00
結束時間 2024-11-28T14:12:00+08:00
影片長度 05:40:44
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528e0909407a1db8a6676c0396a52a667796b104c5adbfed68f7606957e2af2ea92f5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-11-28T09:00:00+08:00
會議名稱 立法院第11屆第2會期財政委員會第10次全體委員會議(事由:一、邀請行政院主計總處陳主計長淑姿、審計部陳審計長瑞敏率所屬單位主管列席業務報告,並備質詢。 二、審查中華民國114年度中央政府總預算案有關主計總處暨審計部、審計部臺北市審計處、審計部新北市審計處、審計部桃園市審計處、審計部臺中市審計處、審計部臺南市審計處、審計部高雄市審計處部分。(詢答及處理) 三、審查中華民國114年度中央政府總預算案有關直轄市及縣市政府。調整軍公教人員待遇準備。災害準備金。第二預備金。(詢答及處理) 【預算提案截止時間:11月26日(二)中午12時】 【11月25日及28日二天一次會】)
委員名稱 完整會議
委員發言時間 08:31:16 - 14:12:00
transcript.pyannote[0].speaker SPEAKER_31
transcript.pyannote[0].start 148.54784375
transcript.pyannote[0].end 151.09596875
transcript.pyannote[1].speaker SPEAKER_26
transcript.pyannote[1].start 1725.95534375
transcript.pyannote[1].end 1732.03034375
transcript.pyannote[2].speaker SPEAKER_36
transcript.pyannote[2].start 1732.57034375
transcript.pyannote[2].end 1735.47284375
transcript.pyannote[3].speaker SPEAKER_36
transcript.pyannote[3].start 1735.82721875
transcript.pyannote[3].end 1740.21471875
transcript.pyannote[4].speaker SPEAKER_36
transcript.pyannote[4].start 1740.94034375
transcript.pyannote[4].end 1741.93596875
transcript.pyannote[5].speaker SPEAKER_36
transcript.pyannote[5].start 1742.08784375
transcript.pyannote[5].end 1761.66284375
transcript.pyannote[6].speaker SPEAKER_36
transcript.pyannote[6].start 1762.15221875
transcript.pyannote[6].end 1764.61596875
transcript.pyannote[7].speaker SPEAKER_36
transcript.pyannote[7].start 1765.67909375
transcript.pyannote[7].end 1769.57721875
transcript.pyannote[8].speaker SPEAKER_26
transcript.pyannote[8].start 1770.77534375
transcript.pyannote[8].end 1778.28471875
transcript.pyannote[9].speaker SPEAKER_26
transcript.pyannote[9].start 1781.20409375
transcript.pyannote[9].end 1785.77721875
transcript.pyannote[10].speaker SPEAKER_26
transcript.pyannote[10].start 1786.06409375
transcript.pyannote[10].end 1792.99971875
transcript.pyannote[11].speaker SPEAKER_26
transcript.pyannote[11].start 1794.48471875
transcript.pyannote[11].end 1796.52659375
transcript.pyannote[12].speaker SPEAKER_26
transcript.pyannote[12].start 1796.99909375
transcript.pyannote[12].end 1797.87659375
transcript.pyannote[13].speaker SPEAKER_26
transcript.pyannote[13].start 1799.68221875
transcript.pyannote[13].end 1801.79159375
transcript.pyannote[14].speaker SPEAKER_26
transcript.pyannote[14].start 1803.83346875
transcript.pyannote[14].end 1806.28034375
transcript.pyannote[15].speaker SPEAKER_26
transcript.pyannote[15].start 1808.69346875
transcript.pyannote[15].end 1809.92534375
transcript.pyannote[16].speaker SPEAKER_26
transcript.pyannote[16].start 1810.29659375
transcript.pyannote[16].end 1811.08971875
transcript.pyannote[17].speaker SPEAKER_26
transcript.pyannote[17].start 1813.35096875
transcript.pyannote[17].end 1815.19034375
transcript.pyannote[18].speaker SPEAKER_26
transcript.pyannote[18].start 1817.58659375
transcript.pyannote[18].end 1819.57784375
transcript.pyannote[19].speaker SPEAKER_26
transcript.pyannote[19].start 1822.05846875
transcript.pyannote[19].end 1824.01596875
transcript.pyannote[20].speaker SPEAKER_26
transcript.pyannote[20].start 1826.27721875
transcript.pyannote[20].end 1828.21784375
transcript.pyannote[21].speaker SPEAKER_26
transcript.pyannote[21].start 1830.61409375
transcript.pyannote[21].end 1833.82034375
transcript.pyannote[22].speaker SPEAKER_26
transcript.pyannote[22].start 1836.18284375
transcript.pyannote[22].end 1837.75221875
transcript.pyannote[23].speaker SPEAKER_26
transcript.pyannote[23].start 1840.14846875
transcript.pyannote[23].end 1840.78971875
transcript.pyannote[24].speaker SPEAKER_26
transcript.pyannote[24].start 1840.92471875
transcript.pyannote[24].end 1843.89471875
transcript.pyannote[25].speaker SPEAKER_26
transcript.pyannote[25].start 1846.24034375
transcript.pyannote[25].end 1847.86034375
transcript.pyannote[26].speaker SPEAKER_26
transcript.pyannote[26].start 1850.25659375
transcript.pyannote[26].end 1851.75846875
transcript.pyannote[27].speaker SPEAKER_26
transcript.pyannote[27].start 1854.07034375
transcript.pyannote[27].end 1858.23846875
transcript.pyannote[28].speaker SPEAKER_26
transcript.pyannote[28].start 1859.99346875
transcript.pyannote[28].end 1862.52471875
transcript.pyannote[29].speaker SPEAKER_26
transcript.pyannote[29].start 1863.97596875
transcript.pyannote[29].end 1865.96721875
transcript.pyannote[30].speaker SPEAKER_26
transcript.pyannote[30].start 1867.78971875
transcript.pyannote[30].end 1870.67534375
transcript.pyannote[31].speaker SPEAKER_26
transcript.pyannote[31].start 1873.47659375
transcript.pyannote[31].end 1875.09659375
transcript.pyannote[32].speaker SPEAKER_26
transcript.pyannote[32].start 1875.63659375
transcript.pyannote[32].end 1876.34534375
transcript.pyannote[33].speaker SPEAKER_26
transcript.pyannote[33].start 1878.70784375
transcript.pyannote[33].end 1880.14221875
transcript.pyannote[34].speaker SPEAKER_26
transcript.pyannote[34].start 1882.15034375
transcript.pyannote[34].end 1883.85471875
transcript.pyannote[35].speaker SPEAKER_26
transcript.pyannote[35].start 1886.26784375
transcript.pyannote[35].end 1889.08596875
transcript.pyannote[36].speaker SPEAKER_26
transcript.pyannote[36].start 1891.16159375
transcript.pyannote[36].end 1893.65909375
transcript.pyannote[37].speaker SPEAKER_26
transcript.pyannote[37].start 1895.98784375
transcript.pyannote[37].end 1897.74284375
transcript.pyannote[38].speaker SPEAKER_26
transcript.pyannote[38].start 1900.15596875
transcript.pyannote[38].end 1905.33659375
transcript.pyannote[39].speaker SPEAKER_26
transcript.pyannote[39].start 1906.06221875
transcript.pyannote[39].end 1909.89284375
transcript.pyannote[40].speaker SPEAKER_26
transcript.pyannote[40].start 1910.44971875
transcript.pyannote[40].end 1917.23346875
transcript.pyannote[41].speaker SPEAKER_26
transcript.pyannote[41].start 1919.46096875
transcript.pyannote[41].end 1923.19034375
transcript.pyannote[42].speaker SPEAKER_26
transcript.pyannote[42].start 1925.63721875
transcript.pyannote[42].end 1927.47659375
transcript.pyannote[43].speaker SPEAKER_26
transcript.pyannote[43].start 1930.90221875
transcript.pyannote[43].end 1934.14221875
transcript.pyannote[44].speaker SPEAKER_26
transcript.pyannote[44].start 1936.21784375
transcript.pyannote[44].end 1937.82096875
transcript.pyannote[45].speaker SPEAKER_26
transcript.pyannote[45].start 1939.74471875
transcript.pyannote[45].end 1941.44909375
transcript.pyannote[46].speaker SPEAKER_26
transcript.pyannote[46].start 1943.25471875
transcript.pyannote[46].end 1944.77346875
transcript.pyannote[47].speaker SPEAKER_26
transcript.pyannote[47].start 1947.81096875
transcript.pyannote[47].end 1951.43909375
transcript.pyannote[48].speaker SPEAKER_26
transcript.pyannote[48].start 1953.64971875
transcript.pyannote[48].end 1958.72909375
transcript.pyannote[49].speaker SPEAKER_26
transcript.pyannote[49].start 1959.38721875
transcript.pyannote[49].end 1965.17534375
transcript.pyannote[50].speaker SPEAKER_26
transcript.pyannote[50].start 1968.58409375
transcript.pyannote[50].end 1971.62159375
transcript.pyannote[51].speaker SPEAKER_26
transcript.pyannote[51].start 1973.57909375
transcript.pyannote[51].end 1975.53659375
transcript.pyannote[52].speaker SPEAKER_26
transcript.pyannote[52].start 1976.93721875
transcript.pyannote[52].end 1978.38846875
transcript.pyannote[53].speaker SPEAKER_26
transcript.pyannote[53].start 1980.48096875
transcript.pyannote[53].end 1982.94471875
transcript.pyannote[54].speaker SPEAKER_26
transcript.pyannote[54].start 1985.62784375
transcript.pyannote[54].end 1987.70346875
transcript.pyannote[55].speaker SPEAKER_26
transcript.pyannote[55].start 1989.59346875
transcript.pyannote[55].end 1991.90534375
transcript.pyannote[56].speaker SPEAKER_26
transcript.pyannote[56].start 1994.14971875
transcript.pyannote[56].end 1995.49971875
transcript.pyannote[57].speaker SPEAKER_26
transcript.pyannote[57].start 1997.59221875
transcript.pyannote[57].end 1999.27971875
transcript.pyannote[58].speaker SPEAKER_26
transcript.pyannote[58].start 2001.03471875
transcript.pyannote[58].end 2002.67159375
transcript.pyannote[59].speaker SPEAKER_26
transcript.pyannote[59].start 2004.57846875
transcript.pyannote[59].end 2006.31659375
transcript.pyannote[60].speaker SPEAKER_26
transcript.pyannote[60].start 2008.13909375
transcript.pyannote[60].end 2010.02909375
transcript.pyannote[61].speaker SPEAKER_26
transcript.pyannote[61].start 2011.64909375
transcript.pyannote[61].end 2013.21846875
transcript.pyannote[62].speaker SPEAKER_26
transcript.pyannote[62].start 2014.70346875
transcript.pyannote[62].end 2016.49221875
transcript.pyannote[63].speaker SPEAKER_26
transcript.pyannote[63].start 2018.02784375
transcript.pyannote[63].end 2019.54659375
transcript.pyannote[64].speaker SPEAKER_26
transcript.pyannote[64].start 2021.20034375
transcript.pyannote[64].end 2023.34346875
transcript.pyannote[65].speaker SPEAKER_26
transcript.pyannote[65].start 2024.71034375
transcript.pyannote[65].end 2026.36409375
transcript.pyannote[66].speaker SPEAKER_26
transcript.pyannote[66].start 2028.05159375
transcript.pyannote[66].end 2029.53659375
transcript.pyannote[67].speaker SPEAKER_26
transcript.pyannote[67].start 2030.78534375
transcript.pyannote[67].end 2032.28721875
transcript.pyannote[68].speaker SPEAKER_26
transcript.pyannote[68].start 2033.70471875
transcript.pyannote[68].end 2035.12221875
transcript.pyannote[69].speaker SPEAKER_26
transcript.pyannote[69].start 2036.75909375
transcript.pyannote[69].end 2038.49721875
transcript.pyannote[70].speaker SPEAKER_26
transcript.pyannote[70].start 2039.91471875
transcript.pyannote[70].end 2043.10409375
transcript.pyannote[71].speaker SPEAKER_26
transcript.pyannote[71].start 2045.66909375
transcript.pyannote[71].end 2046.32721875
transcript.pyannote[72].speaker SPEAKER_26
transcript.pyannote[72].start 2046.58034375
transcript.pyannote[72].end 2050.84971875
transcript.pyannote[73].speaker SPEAKER_26
transcript.pyannote[73].start 2053.24596875
transcript.pyannote[73].end 2054.19096875
transcript.pyannote[74].speaker SPEAKER_26
transcript.pyannote[74].start 2057.14409375
transcript.pyannote[74].end 2060.70471875
transcript.pyannote[75].speaker SPEAKER_26
transcript.pyannote[75].start 2061.10971875
transcript.pyannote[75].end 2076.14534375
transcript.pyannote[76].speaker SPEAKER_26
transcript.pyannote[76].start 2076.76971875
transcript.pyannote[76].end 2079.25034375
transcript.pyannote[77].speaker SPEAKER_26
transcript.pyannote[77].start 2079.30096875
transcript.pyannote[77].end 2082.84471875
transcript.pyannote[78].speaker SPEAKER_26
transcript.pyannote[78].start 2083.68846875
transcript.pyannote[78].end 2087.09721875
transcript.pyannote[79].speaker SPEAKER_26
transcript.pyannote[79].start 2087.14784375
transcript.pyannote[79].end 2089.69596875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 2095.65284375
transcript.pyannote[80].end 2117.03346875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 2117.52284375
transcript.pyannote[81].end 2126.51721875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 2126.93909375
transcript.pyannote[82].end 2144.96159375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 2145.53534375
transcript.pyannote[83].end 2155.18784375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 2156.75721875
transcript.pyannote[84].end 2161.04346875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 2161.34721875
transcript.pyannote[85].end 2165.21159375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 2165.71784375
transcript.pyannote[86].end 2166.67971875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 2167.16909375
transcript.pyannote[87].end 2170.98284375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 2171.53971875
transcript.pyannote[88].end 2180.65221875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 2181.44534375
transcript.pyannote[89].end 2185.54596875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 2185.84971875
transcript.pyannote[90].end 2188.97159375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 2189.39346875
transcript.pyannote[91].end 2196.29534375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 2197.40909375
transcript.pyannote[92].end 2199.28221875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 2199.78846875
transcript.pyannote[93].end 2208.66471875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 2209.22159375
transcript.pyannote[94].end 2213.11971875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 2213.71034375
transcript.pyannote[95].end 2219.43096875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 2219.97096875
transcript.pyannote[96].end 2222.65409375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 2223.02534375
transcript.pyannote[97].end 2225.72534375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 2225.84346875
transcript.pyannote[98].end 2228.40846875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 2228.89784375
transcript.pyannote[99].end 2237.94284375
transcript.pyannote[100].speaker SPEAKER_26
transcript.pyannote[100].start 2238.31409375
transcript.pyannote[100].end 2242.19534375
transcript.pyannote[101].speaker SPEAKER_26
transcript.pyannote[101].start 2244.72659375
transcript.pyannote[101].end 2251.91534375
transcript.pyannote[102].speaker SPEAKER_30
transcript.pyannote[102].start 2260.21784375
transcript.pyannote[102].end 2348.99721875
transcript.pyannote[103].speaker SPEAKER_30
transcript.pyannote[103].start 2349.04784375
transcript.pyannote[103].end 2379.27096875
transcript.pyannote[104].speaker SPEAKER_30
transcript.pyannote[104].start 2380.08096875
transcript.pyannote[104].end 2397.59721875
transcript.pyannote[105].speaker SPEAKER_30
transcript.pyannote[105].start 2397.86721875
transcript.pyannote[105].end 2399.21721875
transcript.pyannote[106].speaker SPEAKER_30
transcript.pyannote[106].start 2399.67284375
transcript.pyannote[106].end 2429.37284375
transcript.pyannote[107].speaker SPEAKER_30
transcript.pyannote[107].start 2430.31784375
transcript.pyannote[107].end 2435.04284375
transcript.pyannote[108].speaker SPEAKER_30
transcript.pyannote[108].start 2435.21159375
transcript.pyannote[108].end 2557.08284375
transcript.pyannote[109].speaker SPEAKER_30
transcript.pyannote[109].start 2560.81221875
transcript.pyannote[109].end 2621.15721875
transcript.pyannote[110].speaker SPEAKER_30
transcript.pyannote[110].start 2622.94596875
transcript.pyannote[110].end 2640.44534375
transcript.pyannote[111].speaker SPEAKER_30
transcript.pyannote[111].start 2640.61409375
transcript.pyannote[111].end 2677.08096875
transcript.pyannote[112].speaker SPEAKER_30
transcript.pyannote[112].start 2678.70096875
transcript.pyannote[112].end 2772.18846875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 2742.52221875
transcript.pyannote[113].end 2742.99471875
transcript.pyannote[114].speaker SPEAKER_30
transcript.pyannote[114].start 2772.42471875
transcript.pyannote[114].end 2794.27784375
transcript.pyannote[115].speaker SPEAKER_30
transcript.pyannote[115].start 2795.00346875
transcript.pyannote[115].end 2823.26909375
transcript.pyannote[116].speaker SPEAKER_30
transcript.pyannote[116].start 2826.91409375
transcript.pyannote[116].end 2878.65284375
transcript.pyannote[117].speaker SPEAKER_30
transcript.pyannote[117].start 2879.34471875
transcript.pyannote[117].end 2880.32346875
transcript.pyannote[118].speaker SPEAKER_30
transcript.pyannote[118].start 2881.72409375
transcript.pyannote[118].end 2882.21346875
transcript.pyannote[119].speaker SPEAKER_30
transcript.pyannote[119].start 2882.44971875
transcript.pyannote[119].end 2901.28221875
transcript.pyannote[120].speaker SPEAKER_30
transcript.pyannote[120].start 2901.65346875
transcript.pyannote[120].end 2904.53909375
transcript.pyannote[121].speaker SPEAKER_30
transcript.pyannote[121].start 2905.19721875
transcript.pyannote[121].end 2929.02471875
transcript.pyannote[122].speaker SPEAKER_26
transcript.pyannote[122].start 2928.11346875
transcript.pyannote[122].end 2935.67346875
transcript.pyannote[123].speaker SPEAKER_30
transcript.pyannote[123].start 2930.69534375
transcript.pyannote[123].end 2931.04971875
transcript.pyannote[124].speaker SPEAKER_26
transcript.pyannote[124].start 2937.74909375
transcript.pyannote[124].end 2940.02721875
transcript.pyannote[125].speaker SPEAKER_30
transcript.pyannote[125].start 2940.02721875
transcript.pyannote[125].end 2940.65159375
transcript.pyannote[126].speaker SPEAKER_26
transcript.pyannote[126].start 2940.65159375
transcript.pyannote[126].end 2940.66846875
transcript.pyannote[127].speaker SPEAKER_30
transcript.pyannote[127].start 2940.66846875
transcript.pyannote[127].end 2940.73596875
transcript.pyannote[128].speaker SPEAKER_26
transcript.pyannote[128].start 2940.85409375
transcript.pyannote[128].end 2941.22534375
transcript.pyannote[129].speaker SPEAKER_30
transcript.pyannote[129].start 2942.13659375
transcript.pyannote[129].end 2965.96409375
transcript.pyannote[130].speaker SPEAKER_30
transcript.pyannote[130].start 2966.48721875
transcript.pyannote[130].end 2986.85534375
transcript.pyannote[131].speaker SPEAKER_30
transcript.pyannote[131].start 2987.91846875
transcript.pyannote[131].end 2990.98971875
transcript.pyannote[132].speaker SPEAKER_30
transcript.pyannote[132].start 2991.22596875
transcript.pyannote[132].end 2994.12846875
transcript.pyannote[133].speaker SPEAKER_30
transcript.pyannote[133].start 2994.58409375
transcript.pyannote[133].end 3012.65721875
transcript.pyannote[134].speaker SPEAKER_30
transcript.pyannote[134].start 3013.21409375
transcript.pyannote[134].end 3029.97096875
transcript.pyannote[135].speaker SPEAKER_26
transcript.pyannote[135].start 3029.97096875
transcript.pyannote[135].end 3037.51409375
transcript.pyannote[136].speaker SPEAKER_26
transcript.pyannote[136].start 3043.62284375
transcript.pyannote[136].end 3047.77409375
transcript.pyannote[137].speaker SPEAKER_15
transcript.pyannote[137].start 3049.79909375
transcript.pyannote[137].end 3073.59284375
transcript.pyannote[138].speaker SPEAKER_15
transcript.pyannote[138].start 3074.23409375
transcript.pyannote[138].end 3113.31659375
transcript.pyannote[139].speaker SPEAKER_15
transcript.pyannote[139].start 3114.59909375
transcript.pyannote[139].end 3116.97846875
transcript.pyannote[140].speaker SPEAKER_15
transcript.pyannote[140].start 3117.16409375
transcript.pyannote[140].end 3118.58159375
transcript.pyannote[141].speaker SPEAKER_15
transcript.pyannote[141].start 3119.13846875
transcript.pyannote[141].end 3122.73284375
transcript.pyannote[142].speaker SPEAKER_15
transcript.pyannote[142].start 3122.78346875
transcript.pyannote[142].end 3130.20846875
transcript.pyannote[143].speaker SPEAKER_15
transcript.pyannote[143].start 3134.17409375
transcript.pyannote[143].end 3136.30034375
transcript.pyannote[144].speaker SPEAKER_15
transcript.pyannote[144].start 3136.45221875
transcript.pyannote[144].end 3137.39721875
transcript.pyannote[145].speaker SPEAKER_15
transcript.pyannote[145].start 3137.61659375
transcript.pyannote[145].end 3139.28721875
transcript.pyannote[146].speaker SPEAKER_15
transcript.pyannote[146].start 3139.67534375
transcript.pyannote[146].end 3176.02409375
transcript.pyannote[147].speaker SPEAKER_15
transcript.pyannote[147].start 3176.39534375
transcript.pyannote[147].end 3183.11159375
transcript.pyannote[148].speaker SPEAKER_15
transcript.pyannote[148].start 3184.42784375
transcript.pyannote[148].end 3191.02596875
transcript.pyannote[149].speaker SPEAKER_15
transcript.pyannote[149].start 3191.16096875
transcript.pyannote[149].end 3191.39721875
transcript.pyannote[150].speaker SPEAKER_15
transcript.pyannote[150].start 3191.75159375
transcript.pyannote[150].end 3233.88846875
transcript.pyannote[151].speaker SPEAKER_15
transcript.pyannote[151].start 3234.07409375
transcript.pyannote[151].end 3240.06471875
transcript.pyannote[152].speaker SPEAKER_15
transcript.pyannote[152].start 3240.28409375
transcript.pyannote[152].end 3254.15534375
transcript.pyannote[153].speaker SPEAKER_15
transcript.pyannote[153].start 3254.61096875
transcript.pyannote[153].end 3264.61784375
transcript.pyannote[154].speaker SPEAKER_15
transcript.pyannote[154].start 3266.05221875
transcript.pyannote[154].end 3271.89096875
transcript.pyannote[155].speaker SPEAKER_15
transcript.pyannote[155].start 3276.39659375
transcript.pyannote[155].end 3278.77596875
transcript.pyannote[156].speaker SPEAKER_15
transcript.pyannote[156].start 3278.94471875
transcript.pyannote[156].end 3280.14284375
transcript.pyannote[157].speaker SPEAKER_15
transcript.pyannote[157].start 3280.39596875
transcript.pyannote[157].end 3286.03221875
transcript.pyannote[158].speaker SPEAKER_15
transcript.pyannote[158].start 3287.02784375
transcript.pyannote[158].end 3294.55409375
transcript.pyannote[159].speaker SPEAKER_15
transcript.pyannote[159].start 3294.89159375
transcript.pyannote[159].end 3305.40471875
transcript.pyannote[160].speaker SPEAKER_15
transcript.pyannote[160].start 3307.88534375
transcript.pyannote[160].end 3335.39159375
transcript.pyannote[161].speaker SPEAKER_15
transcript.pyannote[161].start 3336.13409375
transcript.pyannote[161].end 3339.49221875
transcript.pyannote[162].speaker SPEAKER_15
transcript.pyannote[162].start 3340.13346875
transcript.pyannote[162].end 3363.16784375
transcript.pyannote[163].speaker SPEAKER_15
transcript.pyannote[163].start 3363.74159375
transcript.pyannote[163].end 3395.23034375
transcript.pyannote[164].speaker SPEAKER_15
transcript.pyannote[164].start 3396.63096875
transcript.pyannote[164].end 3398.60534375
transcript.pyannote[165].speaker SPEAKER_15
transcript.pyannote[165].start 3398.97659375
transcript.pyannote[165].end 3416.07096875
transcript.pyannote[166].speaker SPEAKER_26
transcript.pyannote[166].start 3416.66159375
transcript.pyannote[166].end 3421.16721875
transcript.pyannote[167].speaker SPEAKER_26
transcript.pyannote[167].start 3421.67346875
transcript.pyannote[167].end 3425.97659375
transcript.pyannote[168].speaker SPEAKER_26
transcript.pyannote[168].start 3426.29721875
transcript.pyannote[168].end 3428.03534375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 3426.39846875
transcript.pyannote[169].end 3426.87096875
transcript.pyannote[170].speaker SPEAKER_26
transcript.pyannote[170].start 3428.33909375
transcript.pyannote[170].end 3431.34284375
transcript.pyannote[171].speaker SPEAKER_26
transcript.pyannote[171].start 3431.84909375
transcript.pyannote[171].end 3441.11346875
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 3448.87596875
transcript.pyannote[172].end 3450.39471875
transcript.pyannote[173].speaker SPEAKER_26
transcript.pyannote[173].start 3450.56346875
transcript.pyannote[173].end 3450.96846875
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 3451.00221875
transcript.pyannote[174].end 3454.68096875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 3455.11971875
transcript.pyannote[175].end 3456.21659375
transcript.pyannote[176].speaker SPEAKER_26
transcript.pyannote[176].start 3456.68909375
transcript.pyannote[176].end 3457.78596875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 3456.99284375
transcript.pyannote[177].end 3458.03909375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 3458.10659375
transcript.pyannote[178].end 3459.54096875
transcript.pyannote[179].speaker SPEAKER_26
transcript.pyannote[179].start 3459.65909375
transcript.pyannote[179].end 3460.58721875
transcript.pyannote[180].speaker SPEAKER_26
transcript.pyannote[180].start 3467.53971875
transcript.pyannote[180].end 3467.55659375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 3467.55659375
transcript.pyannote[181].end 3468.23159375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 3468.34971875
transcript.pyannote[182].end 3495.60284375
transcript.pyannote[183].speaker SPEAKER_29
transcript.pyannote[183].start 3469.31159375
transcript.pyannote[183].end 3469.95284375
transcript.pyannote[184].speaker SPEAKER_30
transcript.pyannote[184].start 3469.95284375
transcript.pyannote[184].end 3469.96971875
transcript.pyannote[185].speaker SPEAKER_29
transcript.pyannote[185].start 3469.96971875
transcript.pyannote[185].end 3470.02034375
transcript.pyannote[186].speaker SPEAKER_30
transcript.pyannote[186].start 3470.02034375
transcript.pyannote[186].end 3470.03721875
transcript.pyannote[187].speaker SPEAKER_29
transcript.pyannote[187].start 3474.69471875
transcript.pyannote[187].end 3474.74534375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 3496.00784375
transcript.pyannote[188].end 3500.71596875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 3500.86784375
transcript.pyannote[189].end 3502.63971875
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 3502.96034375
transcript.pyannote[190].end 3511.17846875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 3511.34721875
transcript.pyannote[191].end 3515.02596875
transcript.pyannote[192].speaker SPEAKER_30
transcript.pyannote[192].start 3515.46471875
transcript.pyannote[192].end 3544.16909375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 3543.64596875
transcript.pyannote[193].end 3556.65659375
transcript.pyannote[194].speaker SPEAKER_30
transcript.pyannote[194].start 3544.62471875
transcript.pyannote[194].end 3545.02971875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 3556.80846875
transcript.pyannote[195].end 3576.09659375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 3576.94034375
transcript.pyannote[196].end 3577.73346875
transcript.pyannote[197].speaker SPEAKER_30
transcript.pyannote[197].start 3577.95284375
transcript.pyannote[197].end 3588.83721875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 3587.99346875
transcript.pyannote[198].end 3590.10284375
transcript.pyannote[199].speaker SPEAKER_30
transcript.pyannote[199].start 3590.33909375
transcript.pyannote[199].end 3595.28346875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 3594.82784375
transcript.pyannote[200].end 3596.71784375
transcript.pyannote[201].speaker SPEAKER_30
transcript.pyannote[201].start 3596.31284375
transcript.pyannote[201].end 3604.31159375
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 3598.81034375
transcript.pyannote[202].end 3599.36721875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 3604.37909375
transcript.pyannote[203].end 3609.30659375
transcript.pyannote[204].speaker SPEAKER_30
transcript.pyannote[204].start 3605.08784375
transcript.pyannote[204].end 3605.37471875
transcript.pyannote[205].speaker SPEAKER_31
transcript.pyannote[205].start 3609.30659375
transcript.pyannote[205].end 3609.32346875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 3609.32346875
transcript.pyannote[206].end 3609.34034375
transcript.pyannote[207].speaker SPEAKER_30
transcript.pyannote[207].start 3609.34034375
transcript.pyannote[207].end 3609.59346875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 3609.59346875
transcript.pyannote[208].end 3619.04346875
transcript.pyannote[209].speaker SPEAKER_31
transcript.pyannote[209].start 3609.62721875
transcript.pyannote[209].end 3609.64409375
transcript.pyannote[210].speaker SPEAKER_30
transcript.pyannote[210].start 3619.22909375
transcript.pyannote[210].end 3630.46784375
transcript.pyannote[211].speaker SPEAKER_30
transcript.pyannote[211].start 3630.67034375
transcript.pyannote[211].end 3648.99659375
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 3648.99659375
transcript.pyannote[212].end 3658.27784375
transcript.pyannote[213].speaker SPEAKER_30
transcript.pyannote[213].start 3649.53659375
transcript.pyannote[213].end 3650.32971875
transcript.pyannote[214].speaker SPEAKER_30
transcript.pyannote[214].start 3650.75159375
transcript.pyannote[214].end 3650.83596875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 3658.63221875
transcript.pyannote[215].end 3661.28159375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 3661.68659375
transcript.pyannote[216].end 3667.69409375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 3667.86284375
transcript.pyannote[217].end 3671.35596875
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 3671.64284375
transcript.pyannote[218].end 3698.38971875
transcript.pyannote[219].speaker SPEAKER_30
transcript.pyannote[219].start 3698.79471875
transcript.pyannote[219].end 3726.85784375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 3707.95784375
transcript.pyannote[220].end 3708.54846875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 3726.31784375
transcript.pyannote[221].end 3727.19534375
transcript.pyannote[222].speaker SPEAKER_30
transcript.pyannote[222].start 3726.87471875
transcript.pyannote[222].end 3726.90846875
transcript.pyannote[223].speaker SPEAKER_30
transcript.pyannote[223].start 3727.19534375
transcript.pyannote[223].end 3727.61721875
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 3727.70159375
transcript.pyannote[224].end 3741.35346875
transcript.pyannote[225].speaker SPEAKER_30
transcript.pyannote[225].start 3742.01159375
transcript.pyannote[225].end 3782.37659375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 3782.49471875
transcript.pyannote[226].end 3783.06846875
transcript.pyannote[227].speaker SPEAKER_30
transcript.pyannote[227].start 3783.06846875
transcript.pyannote[227].end 3783.47346875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 3783.47346875
transcript.pyannote[228].end 3784.18221875
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 3784.95846875
transcript.pyannote[229].end 3785.53221875
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 3786.54471875
transcript.pyannote[230].end 3793.85159375
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 3793.93596875
transcript.pyannote[231].end 3798.37409375
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 3798.50909375
transcript.pyannote[232].end 3805.49534375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 3805.76534375
transcript.pyannote[233].end 3807.08159375
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 3807.67221875
transcript.pyannote[234].end 3816.56534375
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 3816.86909375
transcript.pyannote[235].end 3820.58159375
transcript.pyannote[236].speaker SPEAKER_30
transcript.pyannote[236].start 3821.29034375
transcript.pyannote[236].end 3827.48346875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 3821.39159375
transcript.pyannote[237].end 3822.01596875
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 3824.78346875
transcript.pyannote[238].end 3825.40784375
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 3826.89284375
transcript.pyannote[239].end 3829.74471875
transcript.pyannote[240].speaker SPEAKER_30
transcript.pyannote[240].start 3830.99346875
transcript.pyannote[240].end 3841.77659375
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 3841.91159375
transcript.pyannote[241].end 3855.88409375
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 3856.42409375
transcript.pyannote[242].end 3858.06096875
transcript.pyannote[243].speaker SPEAKER_30
transcript.pyannote[243].start 3858.65159375
transcript.pyannote[243].end 3872.23596875
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 3865.31721875
transcript.pyannote[244].end 3867.25784375
transcript.pyannote[245].speaker SPEAKER_21
transcript.pyannote[245].start 3867.25784375
transcript.pyannote[245].end 3867.27471875
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 3868.69221875
transcript.pyannote[246].end 3869.43471875
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 3870.48096875
transcript.pyannote[247].end 3871.67909375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 3871.98284375
transcript.pyannote[248].end 3872.89409375
transcript.pyannote[249].speaker SPEAKER_00
transcript.pyannote[249].start 3872.96159375
transcript.pyannote[249].end 3898.47659375
transcript.pyannote[250].speaker SPEAKER_30
transcript.pyannote[250].start 3876.52221875
transcript.pyannote[250].end 3876.55596875
transcript.pyannote[251].speaker SPEAKER_30
transcript.pyannote[251].start 3876.64034375
transcript.pyannote[251].end 3876.65721875
transcript.pyannote[252].speaker SPEAKER_30
transcript.pyannote[252].start 3897.86909375
transcript.pyannote[252].end 3903.42096875
transcript.pyannote[253].speaker SPEAKER_30
transcript.pyannote[253].start 3903.87659375
transcript.pyannote[253].end 3919.36784375
transcript.pyannote[254].speaker SPEAKER_00
transcript.pyannote[254].start 3919.09784375
transcript.pyannote[254].end 3932.46284375
transcript.pyannote[255].speaker SPEAKER_30
transcript.pyannote[255].start 3932.63159375
transcript.pyannote[255].end 3941.82846875
transcript.pyannote[256].speaker SPEAKER_00
transcript.pyannote[256].start 3941.96346875
transcript.pyannote[256].end 3974.76846875
transcript.pyannote[257].speaker SPEAKER_30
transcript.pyannote[257].start 3947.12721875
transcript.pyannote[257].end 3947.59971875
transcript.pyannote[258].speaker SPEAKER_00
transcript.pyannote[258].start 3975.35909375
transcript.pyannote[258].end 3978.07596875
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 3978.63284375
transcript.pyannote[259].end 3979.30784375
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 3981.50159375
transcript.pyannote[260].end 3982.44659375
transcript.pyannote[261].speaker SPEAKER_30
transcript.pyannote[261].start 3982.44659375
transcript.pyannote[261].end 3986.42909375
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 3983.44221875
transcript.pyannote[262].end 3984.04971875
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 3986.31096875
transcript.pyannote[263].end 3996.36846875
transcript.pyannote[264].speaker SPEAKER_30
transcript.pyannote[264].start 3996.65534375
transcript.pyannote[264].end 4001.00909375
transcript.pyannote[265].speaker SPEAKER_00
transcript.pyannote[265].start 4000.40159375
transcript.pyannote[265].end 4002.37596875
transcript.pyannote[266].speaker SPEAKER_30
transcript.pyannote[266].start 4002.37596875
transcript.pyannote[266].end 4028.44784375
transcript.pyannote[267].speaker SPEAKER_00
transcript.pyannote[267].start 4026.92909375
transcript.pyannote[267].end 4027.58721875
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 4028.49846875
transcript.pyannote[268].end 4050.01409375
transcript.pyannote[269].speaker SPEAKER_00
transcript.pyannote[269].start 4050.52034375
transcript.pyannote[269].end 4060.44284375
transcript.pyannote[270].speaker SPEAKER_30
transcript.pyannote[270].start 4060.84784375
transcript.pyannote[270].end 4074.38159375
transcript.pyannote[271].speaker SPEAKER_00
transcript.pyannote[271].start 4074.65159375
transcript.pyannote[271].end 4084.81034375
transcript.pyannote[272].speaker SPEAKER_00
transcript.pyannote[272].start 4085.08034375
transcript.pyannote[272].end 4085.82284375
transcript.pyannote[273].speaker SPEAKER_30
transcript.pyannote[273].start 4086.21096875
transcript.pyannote[273].end 4088.86034375
transcript.pyannote[274].speaker SPEAKER_30
transcript.pyannote[274].start 4088.97846875
transcript.pyannote[274].end 4095.99846875
transcript.pyannote[275].speaker SPEAKER_00
transcript.pyannote[275].start 4095.45846875
transcript.pyannote[275].end 4123.48784375
transcript.pyannote[276].speaker SPEAKER_30
transcript.pyannote[276].start 4096.79159375
transcript.pyannote[276].end 4097.28096875
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 4124.12909375
transcript.pyannote[277].end 4125.81659375
transcript.pyannote[278].speaker SPEAKER_00
transcript.pyannote[278].start 4126.25534375
transcript.pyannote[278].end 4140.51471875
transcript.pyannote[279].speaker SPEAKER_30
transcript.pyannote[279].start 4141.00409375
transcript.pyannote[279].end 4151.43284375
transcript.pyannote[280].speaker SPEAKER_30
transcript.pyannote[280].start 4152.10784375
transcript.pyannote[280].end 4158.48659375
transcript.pyannote[281].speaker SPEAKER_00
transcript.pyannote[281].start 4158.21659375
transcript.pyannote[281].end 4169.03346875
transcript.pyannote[282].speaker SPEAKER_30
transcript.pyannote[282].start 4169.52284375
transcript.pyannote[282].end 4181.16659375
transcript.pyannote[283].speaker SPEAKER_00
transcript.pyannote[283].start 4180.91346875
transcript.pyannote[283].end 4182.85409375
transcript.pyannote[284].speaker SPEAKER_30
transcript.pyannote[284].start 4181.90909375
transcript.pyannote[284].end 4181.99346875
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 4183.19159375
transcript.pyannote[285].end 4203.22221875
transcript.pyannote[286].speaker SPEAKER_26
transcript.pyannote[286].start 4199.56034375
transcript.pyannote[286].end 4200.23534375
transcript.pyannote[287].speaker SPEAKER_26
transcript.pyannote[287].start 4201.80471875
transcript.pyannote[287].end 4206.24284375
transcript.pyannote[288].speaker SPEAKER_19
transcript.pyannote[288].start 4221.02534375
transcript.pyannote[288].end 4223.57346875
transcript.pyannote[289].speaker SPEAKER_26
transcript.pyannote[289].start 4223.86034375
transcript.pyannote[289].end 4225.98659375
transcript.pyannote[290].speaker SPEAKER_26
transcript.pyannote[290].start 4231.25159375
transcript.pyannote[290].end 4231.89284375
transcript.pyannote[291].speaker SPEAKER_19
transcript.pyannote[291].start 4237.36034375
transcript.pyannote[291].end 4239.09846875
transcript.pyannote[292].speaker SPEAKER_19
transcript.pyannote[292].start 4239.40221875
transcript.pyannote[292].end 4241.78159375
transcript.pyannote[293].speaker SPEAKER_19
transcript.pyannote[293].start 4241.89971875
transcript.pyannote[293].end 4242.97971875
transcript.pyannote[294].speaker SPEAKER_19
transcript.pyannote[294].start 4243.72221875
transcript.pyannote[294].end 4249.66221875
transcript.pyannote[295].speaker SPEAKER_19
transcript.pyannote[295].start 4250.33721875
transcript.pyannote[295].end 4251.72096875
transcript.pyannote[296].speaker SPEAKER_19
transcript.pyannote[296].start 4252.04159375
transcript.pyannote[296].end 4252.96971875
transcript.pyannote[297].speaker SPEAKER_01
transcript.pyannote[297].start 4253.23971875
transcript.pyannote[297].end 4253.83034375
transcript.pyannote[298].speaker SPEAKER_19
transcript.pyannote[298].start 4253.74596875
transcript.pyannote[298].end 4255.29846875
transcript.pyannote[299].speaker SPEAKER_01
transcript.pyannote[299].start 4255.58534375
transcript.pyannote[299].end 4256.78346875
transcript.pyannote[300].speaker SPEAKER_19
transcript.pyannote[300].start 4256.90159375
transcript.pyannote[300].end 4259.14596875
transcript.pyannote[301].speaker SPEAKER_01
transcript.pyannote[301].start 4259.38221875
transcript.pyannote[301].end 4263.82034375
transcript.pyannote[302].speaker SPEAKER_36
transcript.pyannote[302].start 4264.22534375
transcript.pyannote[302].end 4264.32659375
transcript.pyannote[303].speaker SPEAKER_01
transcript.pyannote[303].start 4264.32659375
transcript.pyannote[303].end 4267.09409375
transcript.pyannote[304].speaker SPEAKER_36
transcript.pyannote[304].start 4267.09409375
transcript.pyannote[304].end 4267.14471875
transcript.pyannote[305].speaker SPEAKER_01
transcript.pyannote[305].start 4267.14471875
transcript.pyannote[305].end 4269.32159375
transcript.pyannote[306].speaker SPEAKER_01
transcript.pyannote[306].start 4270.87409375
transcript.pyannote[306].end 4270.97534375
transcript.pyannote[307].speaker SPEAKER_19
transcript.pyannote[307].start 4270.97534375
transcript.pyannote[307].end 4271.17784375
transcript.pyannote[308].speaker SPEAKER_01
transcript.pyannote[308].start 4271.17784375
transcript.pyannote[308].end 4271.36346875
transcript.pyannote[309].speaker SPEAKER_19
transcript.pyannote[309].start 4271.36346875
transcript.pyannote[309].end 4271.65034375
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 4271.65034375
transcript.pyannote[310].end 4272.96659375
transcript.pyannote[311].speaker SPEAKER_19
transcript.pyannote[311].start 4271.83596875
transcript.pyannote[311].end 4272.24096875
transcript.pyannote[312].speaker SPEAKER_19
transcript.pyannote[312].start 4272.96659375
transcript.pyannote[312].end 4274.02971875
transcript.pyannote[313].speaker SPEAKER_01
transcript.pyannote[313].start 4274.02971875
transcript.pyannote[313].end 4276.05471875
transcript.pyannote[314].speaker SPEAKER_19
transcript.pyannote[314].start 4276.05471875
transcript.pyannote[314].end 4276.07159375
transcript.pyannote[315].speaker SPEAKER_19
transcript.pyannote[315].start 4276.67909375
transcript.pyannote[315].end 4278.97409375
transcript.pyannote[316].speaker SPEAKER_01
transcript.pyannote[316].start 4279.07534375
transcript.pyannote[316].end 4286.95596875
transcript.pyannote[317].speaker SPEAKER_19
transcript.pyannote[317].start 4286.95596875
transcript.pyannote[317].end 4288.35659375
transcript.pyannote[318].speaker SPEAKER_19
transcript.pyannote[318].start 4288.71096875
transcript.pyannote[318].end 4290.21284375
transcript.pyannote[319].speaker SPEAKER_19
transcript.pyannote[319].start 4290.92159375
transcript.pyannote[319].end 4292.11971875
transcript.pyannote[320].speaker SPEAKER_01
transcript.pyannote[320].start 4292.89596875
transcript.pyannote[320].end 4294.31346875
transcript.pyannote[321].speaker SPEAKER_01
transcript.pyannote[321].start 4295.02221875
transcript.pyannote[321].end 4295.03909375
transcript.pyannote[322].speaker SPEAKER_19
transcript.pyannote[322].start 4295.03909375
transcript.pyannote[322].end 4296.13596875
transcript.pyannote[323].speaker SPEAKER_01
transcript.pyannote[323].start 4295.05596875
transcript.pyannote[323].end 4299.15659375
transcript.pyannote[324].speaker SPEAKER_19
transcript.pyannote[324].start 4296.49034375
transcript.pyannote[324].end 4300.03409375
transcript.pyannote[325].speaker SPEAKER_19
transcript.pyannote[325].start 4300.60784375
transcript.pyannote[325].end 4304.52284375
transcript.pyannote[326].speaker SPEAKER_19
transcript.pyannote[326].start 4305.48471875
transcript.pyannote[326].end 4307.07096875
transcript.pyannote[327].speaker SPEAKER_19
transcript.pyannote[327].start 4307.47596875
transcript.pyannote[327].end 4310.54721875
transcript.pyannote[328].speaker SPEAKER_19
transcript.pyannote[328].start 4311.03659375
transcript.pyannote[328].end 4319.40659375
transcript.pyannote[329].speaker SPEAKER_19
transcript.pyannote[329].start 4319.94659375
transcript.pyannote[329].end 4329.64971875
transcript.pyannote[330].speaker SPEAKER_17
transcript.pyannote[330].start 4329.80159375
transcript.pyannote[330].end 4329.81846875
transcript.pyannote[331].speaker SPEAKER_19
transcript.pyannote[331].start 4329.81846875
transcript.pyannote[331].end 4331.79284375
transcript.pyannote[332].speaker SPEAKER_19
transcript.pyannote[332].start 4333.37909375
transcript.pyannote[332].end 4334.83034375
transcript.pyannote[333].speaker SPEAKER_19
transcript.pyannote[333].start 4336.14659375
transcript.pyannote[333].end 4338.45846875
transcript.pyannote[334].speaker SPEAKER_19
transcript.pyannote[334].start 4339.50471875
transcript.pyannote[334].end 4345.76534375
transcript.pyannote[335].speaker SPEAKER_19
transcript.pyannote[335].start 4348.06034375
transcript.pyannote[335].end 4349.37659375
transcript.pyannote[336].speaker SPEAKER_35
transcript.pyannote[336].start 4349.98409375
transcript.pyannote[336].end 4350.49034375
transcript.pyannote[337].speaker SPEAKER_19
transcript.pyannote[337].start 4350.59159375
transcript.pyannote[337].end 4351.77284375
transcript.pyannote[338].speaker SPEAKER_19
transcript.pyannote[338].start 4352.27909375
transcript.pyannote[338].end 4354.16909375
transcript.pyannote[339].speaker SPEAKER_19
transcript.pyannote[339].start 4354.96221875
transcript.pyannote[339].end 4356.27846875
transcript.pyannote[340].speaker SPEAKER_19
transcript.pyannote[340].start 4357.00409375
transcript.pyannote[340].end 4358.99534375
transcript.pyannote[341].speaker SPEAKER_19
transcript.pyannote[341].start 4359.77159375
transcript.pyannote[341].end 4361.20596875
transcript.pyannote[342].speaker SPEAKER_19
transcript.pyannote[342].start 4361.64471875
transcript.pyannote[342].end 4363.45034375
transcript.pyannote[343].speaker SPEAKER_01
transcript.pyannote[343].start 4364.68221875
transcript.pyannote[343].end 4367.02784375
transcript.pyannote[344].speaker SPEAKER_01
transcript.pyannote[344].start 4367.38221875
transcript.pyannote[344].end 4369.77846875
transcript.pyannote[345].speaker SPEAKER_19
transcript.pyannote[345].start 4367.82096875
transcript.pyannote[345].end 4368.27659375
transcript.pyannote[346].speaker SPEAKER_19
transcript.pyannote[346].start 4368.52971875
transcript.pyannote[346].end 4371.61784375
transcript.pyannote[347].speaker SPEAKER_01
transcript.pyannote[347].start 4371.61784375
transcript.pyannote[347].end 4371.78659375
transcript.pyannote[348].speaker SPEAKER_19
transcript.pyannote[348].start 4371.78659375
transcript.pyannote[348].end 4372.00596875
transcript.pyannote[349].speaker SPEAKER_19
transcript.pyannote[349].start 4373.86221875
transcript.pyannote[349].end 4374.45284375
transcript.pyannote[350].speaker SPEAKER_19
transcript.pyannote[350].start 4379.93721875
transcript.pyannote[350].end 4380.08909375
transcript.pyannote[351].speaker SPEAKER_35
transcript.pyannote[351].start 4380.08909375
transcript.pyannote[351].end 4380.19034375
transcript.pyannote[352].speaker SPEAKER_19
transcript.pyannote[352].start 4380.19034375
transcript.pyannote[352].end 4381.92846875
transcript.pyannote[353].speaker SPEAKER_19
transcript.pyannote[353].start 4381.96221875
transcript.pyannote[353].end 4382.99159375
transcript.pyannote[354].speaker SPEAKER_19
transcript.pyannote[354].start 4383.36284375
transcript.pyannote[354].end 4384.13909375
transcript.pyannote[355].speaker SPEAKER_19
transcript.pyannote[355].start 4384.56096875
transcript.pyannote[355].end 4384.93221875
transcript.pyannote[356].speaker SPEAKER_19
transcript.pyannote[356].start 4385.48909375
transcript.pyannote[356].end 4386.29909375
transcript.pyannote[357].speaker SPEAKER_19
transcript.pyannote[357].start 4387.19346875
transcript.pyannote[357].end 4389.31971875
transcript.pyannote[358].speaker SPEAKER_19
transcript.pyannote[358].start 4389.67409375
transcript.pyannote[358].end 4391.20971875
transcript.pyannote[359].speaker SPEAKER_19
transcript.pyannote[359].start 4391.71596875
transcript.pyannote[359].end 4392.18846875
transcript.pyannote[360].speaker SPEAKER_19
transcript.pyannote[360].start 4392.74534375
transcript.pyannote[360].end 4393.77471875
transcript.pyannote[361].speaker SPEAKER_19
transcript.pyannote[361].start 4394.29784375
transcript.pyannote[361].end 4394.93909375
transcript.pyannote[362].speaker SPEAKER_19
transcript.pyannote[362].start 4395.10784375
transcript.pyannote[362].end 4397.95971875
transcript.pyannote[363].speaker SPEAKER_19
transcript.pyannote[363].start 4398.43221875
transcript.pyannote[363].end 4398.82034375
transcript.pyannote[364].speaker SPEAKER_19
transcript.pyannote[364].start 4399.27596875
transcript.pyannote[364].end 4399.90034375
transcript.pyannote[365].speaker SPEAKER_19
transcript.pyannote[365].start 4400.54159375
transcript.pyannote[365].end 4401.85784375
transcript.pyannote[366].speaker SPEAKER_19
transcript.pyannote[366].start 4402.90409375
transcript.pyannote[366].end 4404.13596875
transcript.pyannote[367].speaker SPEAKER_19
transcript.pyannote[367].start 4404.62534375
transcript.pyannote[367].end 4405.87409375
transcript.pyannote[368].speaker SPEAKER_19
transcript.pyannote[368].start 4406.31284375
transcript.pyannote[368].end 4408.28721875
transcript.pyannote[369].speaker SPEAKER_19
transcript.pyannote[369].start 4408.91159375
transcript.pyannote[369].end 4411.88159375
transcript.pyannote[370].speaker SPEAKER_19
transcript.pyannote[370].start 4412.74221875
transcript.pyannote[370].end 4414.64909375
transcript.pyannote[371].speaker SPEAKER_30
transcript.pyannote[371].start 4415.44221875
transcript.pyannote[371].end 4448.98971875
transcript.pyannote[372].speaker SPEAKER_19
transcript.pyannote[372].start 4417.93971875
transcript.pyannote[372].end 4418.29409375
transcript.pyannote[373].speaker SPEAKER_19
transcript.pyannote[373].start 4448.41596875
transcript.pyannote[373].end 4455.16596875
transcript.pyannote[374].speaker SPEAKER_30
transcript.pyannote[374].start 4449.04034375
transcript.pyannote[374].end 4449.46221875
transcript.pyannote[375].speaker SPEAKER_30
transcript.pyannote[375].start 4450.49159375
transcript.pyannote[375].end 4450.57596875
transcript.pyannote[376].speaker SPEAKER_31
transcript.pyannote[376].start 4450.57596875
transcript.pyannote[376].end 4450.64346875
transcript.pyannote[377].speaker SPEAKER_30
transcript.pyannote[377].start 4450.64346875
transcript.pyannote[377].end 4450.72784375
transcript.pyannote[378].speaker SPEAKER_19
transcript.pyannote[378].start 4455.89159375
transcript.pyannote[378].end 4456.97159375
transcript.pyannote[379].speaker SPEAKER_19
transcript.pyannote[379].start 4457.39346875
transcript.pyannote[379].end 4458.10221875
transcript.pyannote[380].speaker SPEAKER_19
transcript.pyannote[380].start 4458.43971875
transcript.pyannote[380].end 4459.35096875
transcript.pyannote[381].speaker SPEAKER_19
transcript.pyannote[381].start 4459.94159375
transcript.pyannote[381].end 4462.23659375
transcript.pyannote[382].speaker SPEAKER_31
transcript.pyannote[382].start 4462.33784375
transcript.pyannote[382].end 4462.81034375
transcript.pyannote[383].speaker SPEAKER_19
transcript.pyannote[383].start 4463.06346875
transcript.pyannote[383].end 4464.48096875
transcript.pyannote[384].speaker SPEAKER_19
transcript.pyannote[384].start 4465.07159375
transcript.pyannote[384].end 4466.91096875
transcript.pyannote[385].speaker SPEAKER_19
transcript.pyannote[385].start 4467.29909375
transcript.pyannote[385].end 4471.09596875
transcript.pyannote[386].speaker SPEAKER_19
transcript.pyannote[386].start 4471.75409375
transcript.pyannote[386].end 4474.55534375
transcript.pyannote[387].speaker SPEAKER_19
transcript.pyannote[387].start 4475.04471875
transcript.pyannote[387].end 4476.56346875
transcript.pyannote[388].speaker SPEAKER_19
transcript.pyannote[388].start 4477.60971875
transcript.pyannote[388].end 4477.96409375
transcript.pyannote[389].speaker SPEAKER_19
transcript.pyannote[389].start 4478.52096875
transcript.pyannote[389].end 4481.11971875
transcript.pyannote[390].speaker SPEAKER_19
transcript.pyannote[390].start 4481.50784375
transcript.pyannote[390].end 4482.41909375
transcript.pyannote[391].speaker SPEAKER_19
transcript.pyannote[391].start 4482.87471875
transcript.pyannote[391].end 4484.08971875
transcript.pyannote[392].speaker SPEAKER_19
transcript.pyannote[392].start 4484.57909375
transcript.pyannote[392].end 4485.25409375
transcript.pyannote[393].speaker SPEAKER_19
transcript.pyannote[393].start 4485.79409375
transcript.pyannote[393].end 4487.02596875
transcript.pyannote[394].speaker SPEAKER_19
transcript.pyannote[394].start 4487.41409375
transcript.pyannote[394].end 4489.30409375
transcript.pyannote[395].speaker SPEAKER_19
transcript.pyannote[395].start 4490.13096875
transcript.pyannote[395].end 4491.59909375
transcript.pyannote[396].speaker SPEAKER_19
transcript.pyannote[396].start 4492.00409375
transcript.pyannote[396].end 4492.81409375
transcript.pyannote[397].speaker SPEAKER_35
transcript.pyannote[397].start 4493.13471875
transcript.pyannote[397].end 4493.64096875
transcript.pyannote[398].speaker SPEAKER_19
transcript.pyannote[398].start 4493.80971875
transcript.pyannote[398].end 4495.44659375
transcript.pyannote[399].speaker SPEAKER_19
transcript.pyannote[399].start 4496.07096875
transcript.pyannote[399].end 4497.67409375
transcript.pyannote[400].speaker SPEAKER_19
transcript.pyannote[400].start 4497.97784375
transcript.pyannote[400].end 4499.31096875
transcript.pyannote[401].speaker SPEAKER_19
transcript.pyannote[401].start 4499.54721875
transcript.pyannote[401].end 4500.67784375
transcript.pyannote[402].speaker SPEAKER_30
transcript.pyannote[402].start 4501.11659375
transcript.pyannote[402].end 4530.85034375
transcript.pyannote[403].speaker SPEAKER_19
transcript.pyannote[403].start 4529.87159375
transcript.pyannote[403].end 4536.03096875
transcript.pyannote[404].speaker SPEAKER_30
transcript.pyannote[404].start 4531.77846875
transcript.pyannote[404].end 4532.16659375
transcript.pyannote[405].speaker SPEAKER_19
transcript.pyannote[405].start 4536.06471875
transcript.pyannote[405].end 4537.39784375
transcript.pyannote[406].speaker SPEAKER_19
transcript.pyannote[406].start 4537.76909375
transcript.pyannote[406].end 4539.32159375
transcript.pyannote[407].speaker SPEAKER_35
transcript.pyannote[407].start 4539.28784375
transcript.pyannote[407].end 4539.84471875
transcript.pyannote[408].speaker SPEAKER_19
transcript.pyannote[408].start 4539.79409375
transcript.pyannote[408].end 4542.57846875
transcript.pyannote[409].speaker SPEAKER_35
transcript.pyannote[409].start 4541.54909375
transcript.pyannote[409].end 4541.98784375
transcript.pyannote[410].speaker SPEAKER_19
transcript.pyannote[410].start 4542.76409375
transcript.pyannote[410].end 4543.91159375
transcript.pyannote[411].speaker SPEAKER_19
transcript.pyannote[411].start 4544.45159375
transcript.pyannote[411].end 4544.78909375
transcript.pyannote[412].speaker SPEAKER_19
transcript.pyannote[412].start 4545.43034375
transcript.pyannote[412].end 4548.88971875
transcript.pyannote[413].speaker SPEAKER_35
transcript.pyannote[413].start 4549.02471875
transcript.pyannote[413].end 4549.49721875
transcript.pyannote[414].speaker SPEAKER_19
transcript.pyannote[414].start 4549.59846875
transcript.pyannote[414].end 4550.00346875
transcript.pyannote[415].speaker SPEAKER_19
transcript.pyannote[415].start 4550.17221875
transcript.pyannote[415].end 4551.23534375
transcript.pyannote[416].speaker SPEAKER_19
transcript.pyannote[416].start 4551.55596875
transcript.pyannote[416].end 4554.18846875
transcript.pyannote[417].speaker SPEAKER_19
transcript.pyannote[417].start 4554.30659375
transcript.pyannote[417].end 4554.98159375
transcript.pyannote[418].speaker SPEAKER_19
transcript.pyannote[418].start 4555.43721875
transcript.pyannote[418].end 4558.25534375
transcript.pyannote[419].speaker SPEAKER_19
transcript.pyannote[419].start 4559.04846875
transcript.pyannote[419].end 4560.73596875
transcript.pyannote[420].speaker SPEAKER_26
transcript.pyannote[420].start 4560.70221875
transcript.pyannote[420].end 4561.42784375
transcript.pyannote[421].speaker SPEAKER_19
transcript.pyannote[421].start 4561.56284375
transcript.pyannote[421].end 4563.03096875
transcript.pyannote[422].speaker SPEAKER_26
transcript.pyannote[422].start 4563.95909375
transcript.pyannote[422].end 4564.93784375
transcript.pyannote[423].speaker SPEAKER_15
transcript.pyannote[423].start 4571.45159375
transcript.pyannote[423].end 4572.02534375
transcript.pyannote[424].speaker SPEAKER_19
transcript.pyannote[424].start 4572.75096875
transcript.pyannote[424].end 4574.60721875
transcript.pyannote[425].speaker SPEAKER_19
transcript.pyannote[425].start 4574.91096875
transcript.pyannote[425].end 4578.82596875
transcript.pyannote[426].speaker SPEAKER_15
transcript.pyannote[426].start 4579.09596875
transcript.pyannote[426].end 4581.20534375
transcript.pyannote[427].speaker SPEAKER_19
transcript.pyannote[427].start 4581.20534375
transcript.pyannote[427].end 4588.61346875
transcript.pyannote[428].speaker SPEAKER_19
transcript.pyannote[428].start 4588.95096875
transcript.pyannote[428].end 4589.52471875
transcript.pyannote[429].speaker SPEAKER_19
transcript.pyannote[429].start 4589.74409375
transcript.pyannote[429].end 4590.75659375
transcript.pyannote[430].speaker SPEAKER_31
transcript.pyannote[430].start 4590.90846875
transcript.pyannote[430].end 4591.26284375
transcript.pyannote[431].speaker SPEAKER_19
transcript.pyannote[431].start 4591.61721875
transcript.pyannote[431].end 4593.32159375
transcript.pyannote[432].speaker SPEAKER_19
transcript.pyannote[432].start 4594.99221875
transcript.pyannote[432].end 4596.25784375
transcript.pyannote[433].speaker SPEAKER_19
transcript.pyannote[433].start 4596.78096875
transcript.pyannote[433].end 4597.86096875
transcript.pyannote[434].speaker SPEAKER_19
transcript.pyannote[434].start 4598.56971875
transcript.pyannote[434].end 4600.35846875
transcript.pyannote[435].speaker SPEAKER_31
transcript.pyannote[435].start 4600.35846875
transcript.pyannote[435].end 4600.47659375
transcript.pyannote[436].speaker SPEAKER_19
transcript.pyannote[436].start 4600.40909375
transcript.pyannote[436].end 4605.52221875
transcript.pyannote[437].speaker SPEAKER_36
transcript.pyannote[437].start 4600.47659375
transcript.pyannote[437].end 4600.54409375
transcript.pyannote[438].speaker SPEAKER_31
transcript.pyannote[438].start 4600.54409375
transcript.pyannote[438].end 4600.56096875
transcript.pyannote[439].speaker SPEAKER_19
transcript.pyannote[439].start 4606.41659375
transcript.pyannote[439].end 4612.08659375
transcript.pyannote[440].speaker SPEAKER_19
transcript.pyannote[440].start 4612.74471875
transcript.pyannote[440].end 4615.93409375
transcript.pyannote[441].speaker SPEAKER_19
transcript.pyannote[441].start 4616.57534375
transcript.pyannote[441].end 4618.34721875
transcript.pyannote[442].speaker SPEAKER_15
transcript.pyannote[442].start 4619.22471875
transcript.pyannote[442].end 4631.05409375
transcript.pyannote[443].speaker SPEAKER_15
transcript.pyannote[443].start 4631.39159375
transcript.pyannote[443].end 4639.28909375
transcript.pyannote[444].speaker SPEAKER_35
transcript.pyannote[444].start 4631.40846875
transcript.pyannote[444].end 4631.91471875
transcript.pyannote[445].speaker SPEAKER_14
transcript.pyannote[445].start 4631.91471875
transcript.pyannote[445].end 4631.94846875
transcript.pyannote[446].speaker SPEAKER_15
transcript.pyannote[446].start 4639.76159375
transcript.pyannote[446].end 4641.66846875
transcript.pyannote[447].speaker SPEAKER_19
transcript.pyannote[447].start 4641.66846875
transcript.pyannote[447].end 4645.27971875
transcript.pyannote[448].speaker SPEAKER_19
transcript.pyannote[448].start 4645.87034375
transcript.pyannote[448].end 4648.19909375
transcript.pyannote[449].speaker SPEAKER_15
transcript.pyannote[449].start 4646.47784375
transcript.pyannote[449].end 4647.03471875
transcript.pyannote[450].speaker SPEAKER_19
transcript.pyannote[450].start 4648.58721875
transcript.pyannote[450].end 4648.60409375
transcript.pyannote[451].speaker SPEAKER_15
transcript.pyannote[451].start 4648.60409375
transcript.pyannote[451].end 4660.82159375
transcript.pyannote[452].speaker SPEAKER_15
transcript.pyannote[452].start 4661.61471875
transcript.pyannote[452].end 4661.63159375
transcript.pyannote[453].speaker SPEAKER_19
transcript.pyannote[453].start 4661.63159375
transcript.pyannote[453].end 4673.20784375
transcript.pyannote[454].speaker SPEAKER_19
transcript.pyannote[454].start 4673.59596875
transcript.pyannote[454].end 4675.97534375
transcript.pyannote[455].speaker SPEAKER_15
transcript.pyannote[455].start 4675.97534375
transcript.pyannote[455].end 4687.02846875
transcript.pyannote[456].speaker SPEAKER_19
transcript.pyannote[456].start 4684.24409375
transcript.pyannote[456].end 4685.12159375
transcript.pyannote[457].speaker SPEAKER_19
transcript.pyannote[457].start 4687.02846875
transcript.pyannote[457].end 4696.68096875
transcript.pyannote[458].speaker SPEAKER_15
transcript.pyannote[458].start 4696.68096875
transcript.pyannote[458].end 4706.65409375
transcript.pyannote[459].speaker SPEAKER_19
transcript.pyannote[459].start 4706.83971875
transcript.pyannote[459].end 4710.09659375
transcript.pyannote[460].speaker SPEAKER_15
transcript.pyannote[460].start 4708.27409375
transcript.pyannote[460].end 4718.26409375
transcript.pyannote[461].speaker SPEAKER_19
transcript.pyannote[461].start 4718.34846875
transcript.pyannote[461].end 4728.96284375
transcript.pyannote[462].speaker SPEAKER_15
transcript.pyannote[462].start 4728.96284375
transcript.pyannote[462].end 4744.04909375
transcript.pyannote[463].speaker SPEAKER_19
transcript.pyannote[463].start 4744.55534375
transcript.pyannote[463].end 4755.96284375
transcript.pyannote[464].speaker SPEAKER_00
transcript.pyannote[464].start 4751.17034375
transcript.pyannote[464].end 4751.18721875
transcript.pyannote[465].speaker SPEAKER_35
transcript.pyannote[465].start 4751.18721875
transcript.pyannote[465].end 4751.27159375
transcript.pyannote[466].speaker SPEAKER_15
transcript.pyannote[466].start 4751.27159375
transcript.pyannote[466].end 4751.38971875
transcript.pyannote[467].speaker SPEAKER_15
transcript.pyannote[467].start 4755.96284375
transcript.pyannote[467].end 4756.77284375
transcript.pyannote[468].speaker SPEAKER_15
transcript.pyannote[468].start 4757.29596875
transcript.pyannote[468].end 4766.64471875
transcript.pyannote[469].speaker SPEAKER_19
transcript.pyannote[469].start 4766.86409375
transcript.pyannote[469].end 4776.80346875
transcript.pyannote[470].speaker SPEAKER_15
transcript.pyannote[470].start 4776.80346875
transcript.pyannote[470].end 4798.80846875
transcript.pyannote[471].speaker SPEAKER_19
transcript.pyannote[471].start 4798.35284375
transcript.pyannote[471].end 4814.14784375
transcript.pyannote[472].speaker SPEAKER_19
transcript.pyannote[472].start 4814.80596875
transcript.pyannote[472].end 4822.97346875
transcript.pyannote[473].speaker SPEAKER_15
transcript.pyannote[473].start 4822.97346875
transcript.pyannote[473].end 4823.29409375
transcript.pyannote[474].speaker SPEAKER_19
transcript.pyannote[474].start 4823.29409375
transcript.pyannote[474].end 4823.31096875
transcript.pyannote[475].speaker SPEAKER_19
transcript.pyannote[475].start 4824.30659375
transcript.pyannote[475].end 4829.11596875
transcript.pyannote[476].speaker SPEAKER_15
transcript.pyannote[476].start 4824.50909375
transcript.pyannote[476].end 4824.61034375
transcript.pyannote[477].speaker SPEAKER_15
transcript.pyannote[477].start 4826.31471875
transcript.pyannote[477].end 4829.23409375
transcript.pyannote[478].speaker SPEAKER_19
transcript.pyannote[478].start 4829.23409375
transcript.pyannote[478].end 4829.97659375
transcript.pyannote[479].speaker SPEAKER_15
transcript.pyannote[479].start 4829.97659375
transcript.pyannote[479].end 4830.02721875
transcript.pyannote[480].speaker SPEAKER_19
transcript.pyannote[480].start 4830.02721875
transcript.pyannote[480].end 4830.24659375
transcript.pyannote[481].speaker SPEAKER_15
transcript.pyannote[481].start 4830.24659375
transcript.pyannote[481].end 4832.81159375
transcript.pyannote[482].speaker SPEAKER_19
transcript.pyannote[482].start 4833.21659375
transcript.pyannote[482].end 4833.23346875
transcript.pyannote[483].speaker SPEAKER_26
transcript.pyannote[483].start 4833.23346875
transcript.pyannote[483].end 4834.75221875
transcript.pyannote[484].speaker SPEAKER_15
transcript.pyannote[484].start 4834.75221875
transcript.pyannote[484].end 4835.51159375
transcript.pyannote[485].speaker SPEAKER_26
transcript.pyannote[485].start 4834.78596875
transcript.pyannote[485].end 4835.20784375
transcript.pyannote[486].speaker SPEAKER_26
transcript.pyannote[486].start 4837.18221875
transcript.pyannote[486].end 4841.72159375
transcript.pyannote[487].speaker SPEAKER_04
transcript.pyannote[487].start 4859.38971875
transcript.pyannote[487].end 4860.92534375
transcript.pyannote[488].speaker SPEAKER_26
transcript.pyannote[488].start 4860.92534375
transcript.pyannote[488].end 4861.00971875
transcript.pyannote[489].speaker SPEAKER_04
transcript.pyannote[489].start 4861.65096875
transcript.pyannote[489].end 4861.66784375
transcript.pyannote[490].speaker SPEAKER_26
transcript.pyannote[490].start 4861.66784375
transcript.pyannote[490].end 4862.42721875
transcript.pyannote[491].speaker SPEAKER_26
transcript.pyannote[491].start 4862.76471875
transcript.pyannote[491].end 4863.67596875
transcript.pyannote[492].speaker SPEAKER_26
transcript.pyannote[492].start 4864.92471875
transcript.pyannote[492].end 4865.54909375
transcript.pyannote[493].speaker SPEAKER_26
transcript.pyannote[493].start 4871.50596875
transcript.pyannote[493].end 4871.53971875
transcript.pyannote[494].speaker SPEAKER_04
transcript.pyannote[494].start 4871.53971875
transcript.pyannote[494].end 4871.65784375
transcript.pyannote[495].speaker SPEAKER_26
transcript.pyannote[495].start 4871.65784375
transcript.pyannote[495].end 4871.97846875
transcript.pyannote[496].speaker SPEAKER_04
transcript.pyannote[496].start 4871.97846875
transcript.pyannote[496].end 4872.14721875
transcript.pyannote[497].speaker SPEAKER_29
transcript.pyannote[497].start 4873.48034375
transcript.pyannote[497].end 4873.49721875
transcript.pyannote[498].speaker SPEAKER_04
transcript.pyannote[498].start 4873.49721875
transcript.pyannote[498].end 4874.30721875
transcript.pyannote[499].speaker SPEAKER_04
transcript.pyannote[499].start 4875.38721875
transcript.pyannote[499].end 4877.46284375
transcript.pyannote[500].speaker SPEAKER_04
transcript.pyannote[500].start 4877.85096875
transcript.pyannote[500].end 4879.65659375
transcript.pyannote[501].speaker SPEAKER_04
transcript.pyannote[501].start 4880.38221875
transcript.pyannote[501].end 4883.21721875
transcript.pyannote[502].speaker SPEAKER_04
transcript.pyannote[502].start 4883.45346875
transcript.pyannote[502].end 4884.87096875
transcript.pyannote[503].speaker SPEAKER_04
transcript.pyannote[503].start 4885.24221875
transcript.pyannote[503].end 4886.92971875
transcript.pyannote[504].speaker SPEAKER_04
transcript.pyannote[504].start 4887.19971875
transcript.pyannote[504].end 4889.54534375
transcript.pyannote[505].speaker SPEAKER_04
transcript.pyannote[505].start 4889.69721875
transcript.pyannote[505].end 4891.67159375
transcript.pyannote[506].speaker SPEAKER_04
transcript.pyannote[506].start 4893.49409375
transcript.pyannote[506].end 4894.45596875
transcript.pyannote[507].speaker SPEAKER_04
transcript.pyannote[507].start 4895.48534375
transcript.pyannote[507].end 4897.54409375
transcript.pyannote[508].speaker SPEAKER_04
transcript.pyannote[508].start 4898.06721875
transcript.pyannote[508].end 4900.29471875
transcript.pyannote[509].speaker SPEAKER_04
transcript.pyannote[509].start 4900.61534375
transcript.pyannote[509].end 4907.53409375
transcript.pyannote[510].speaker SPEAKER_04
transcript.pyannote[510].start 4907.61846875
transcript.pyannote[510].end 4909.55909375
transcript.pyannote[511].speaker SPEAKER_30
transcript.pyannote[511].start 4910.40284375
transcript.pyannote[511].end 4913.30534375
transcript.pyannote[512].speaker SPEAKER_04
transcript.pyannote[512].start 4912.34346875
transcript.pyannote[512].end 4913.52471875
transcript.pyannote[513].speaker SPEAKER_30
transcript.pyannote[513].start 4914.19971875
transcript.pyannote[513].end 4916.56221875
transcript.pyannote[514].speaker SPEAKER_04
transcript.pyannote[514].start 4915.95471875
transcript.pyannote[514].end 4918.97534375
transcript.pyannote[515].speaker SPEAKER_30
transcript.pyannote[515].start 4918.97534375
transcript.pyannote[515].end 4919.02596875
transcript.pyannote[516].speaker SPEAKER_04
transcript.pyannote[516].start 4919.02596875
transcript.pyannote[516].end 4919.04284375
transcript.pyannote[517].speaker SPEAKER_30
transcript.pyannote[517].start 4919.61659375
transcript.pyannote[517].end 4932.99846875
transcript.pyannote[518].speaker SPEAKER_04
transcript.pyannote[518].start 4932.40784375
transcript.pyannote[518].end 4934.53409375
transcript.pyannote[519].speaker SPEAKER_30
transcript.pyannote[519].start 4935.31034375
transcript.pyannote[519].end 4944.11909375
transcript.pyannote[520].speaker SPEAKER_04
transcript.pyannote[520].start 4941.67221875
transcript.pyannote[520].end 4945.55346875
transcript.pyannote[521].speaker SPEAKER_04
transcript.pyannote[521].start 4946.04284375
transcript.pyannote[521].end 4951.39221875
transcript.pyannote[522].speaker SPEAKER_04
transcript.pyannote[522].start 4951.89846875
transcript.pyannote[522].end 4954.27784375
transcript.pyannote[523].speaker SPEAKER_30
transcript.pyannote[523].start 4953.87284375
transcript.pyannote[523].end 4958.20971875
transcript.pyannote[524].speaker SPEAKER_04
transcript.pyannote[524].start 4958.20971875
transcript.pyannote[524].end 4960.26846875
transcript.pyannote[525].speaker SPEAKER_30
transcript.pyannote[525].start 4962.68159375
transcript.pyannote[525].end 4967.42346875
transcript.pyannote[526].speaker SPEAKER_04
transcript.pyannote[526].start 4966.37721875
transcript.pyannote[526].end 4970.39346875
transcript.pyannote[527].speaker SPEAKER_04
transcript.pyannote[527].start 4971.32159375
transcript.pyannote[527].end 4972.68846875
transcript.pyannote[528].speaker SPEAKER_04
transcript.pyannote[528].start 4973.70096875
transcript.pyannote[528].end 4976.95784375
transcript.pyannote[529].speaker SPEAKER_04
transcript.pyannote[529].start 4977.97034375
transcript.pyannote[529].end 4980.29909375
transcript.pyannote[530].speaker SPEAKER_04
transcript.pyannote[530].start 4981.61534375
transcript.pyannote[530].end 4983.06659375
transcript.pyannote[531].speaker SPEAKER_04
transcript.pyannote[531].start 4983.80909375
transcript.pyannote[531].end 4985.68221875
transcript.pyannote[532].speaker SPEAKER_04
transcript.pyannote[532].start 4986.01971875
transcript.pyannote[532].end 4986.49221875
transcript.pyannote[533].speaker SPEAKER_04
transcript.pyannote[533].start 4986.94784375
transcript.pyannote[533].end 4989.86721875
transcript.pyannote[534].speaker SPEAKER_04
transcript.pyannote[534].start 4990.91346875
transcript.pyannote[534].end 4993.15784375
transcript.pyannote[535].speaker SPEAKER_04
transcript.pyannote[535].start 4994.01846875
transcript.pyannote[535].end 4996.36409375
transcript.pyannote[536].speaker SPEAKER_04
transcript.pyannote[536].start 4997.17409375
transcript.pyannote[536].end 4998.49034375
transcript.pyannote[537].speaker SPEAKER_04
transcript.pyannote[537].start 5000.17784375
transcript.pyannote[537].end 5001.34221875
transcript.pyannote[538].speaker SPEAKER_04
transcript.pyannote[538].start 5001.88221875
transcript.pyannote[538].end 5002.79346875
transcript.pyannote[539].speaker SPEAKER_04
transcript.pyannote[539].start 5004.09284375
transcript.pyannote[539].end 5006.91096875
transcript.pyannote[540].speaker SPEAKER_04
transcript.pyannote[540].start 5007.50159375
transcript.pyannote[540].end 5009.02034375
transcript.pyannote[541].speaker SPEAKER_04
transcript.pyannote[541].start 5010.35346875
transcript.pyannote[541].end 5012.66534375
transcript.pyannote[542].speaker SPEAKER_04
transcript.pyannote[542].start 5016.52971875
transcript.pyannote[542].end 5017.81221875
transcript.pyannote[543].speaker SPEAKER_04
transcript.pyannote[543].start 5018.03159375
transcript.pyannote[543].end 5027.04284375
transcript.pyannote[544].speaker SPEAKER_04
transcript.pyannote[544].start 5028.05534375
transcript.pyannote[544].end 5030.31659375
transcript.pyannote[545].speaker SPEAKER_04
transcript.pyannote[545].start 5030.78909375
transcript.pyannote[545].end 5033.01659375
transcript.pyannote[546].speaker SPEAKER_04
transcript.pyannote[546].start 5033.82659375
transcript.pyannote[546].end 5035.14284375
transcript.pyannote[547].speaker SPEAKER_04
transcript.pyannote[547].start 5036.02034375
transcript.pyannote[547].end 5036.98221875
transcript.pyannote[548].speaker SPEAKER_04
transcript.pyannote[548].start 5038.04534375
transcript.pyannote[548].end 5039.07471875
transcript.pyannote[549].speaker SPEAKER_30
transcript.pyannote[549].start 5040.47534375
transcript.pyannote[549].end 5053.30034375
transcript.pyannote[550].speaker SPEAKER_04
transcript.pyannote[550].start 5050.63409375
transcript.pyannote[550].end 5051.49471875
transcript.pyannote[551].speaker SPEAKER_30
transcript.pyannote[551].start 5053.75596875
transcript.pyannote[551].end 5068.18409375
transcript.pyannote[552].speaker SPEAKER_04
transcript.pyannote[552].start 5059.17284375
transcript.pyannote[552].end 5059.83096875
transcript.pyannote[553].speaker SPEAKER_04
transcript.pyannote[553].start 5066.58096875
transcript.pyannote[553].end 5068.11659375
transcript.pyannote[554].speaker SPEAKER_04
transcript.pyannote[554].start 5068.18409375
transcript.pyannote[554].end 5068.20096875
transcript.pyannote[555].speaker SPEAKER_30
transcript.pyannote[555].start 5068.20096875
transcript.pyannote[555].end 5068.28534375
transcript.pyannote[556].speaker SPEAKER_04
transcript.pyannote[556].start 5068.28534375
transcript.pyannote[556].end 5068.30221875
transcript.pyannote[557].speaker SPEAKER_30
transcript.pyannote[557].start 5068.82534375
transcript.pyannote[557].end 5069.93909375
transcript.pyannote[558].speaker SPEAKER_30
transcript.pyannote[558].start 5070.14159375
transcript.pyannote[558].end 5072.92596875
transcript.pyannote[559].speaker SPEAKER_04
transcript.pyannote[559].start 5070.58034375
transcript.pyannote[559].end 5072.28471875
transcript.pyannote[560].speaker SPEAKER_04
transcript.pyannote[560].start 5072.65596875
transcript.pyannote[560].end 5072.75721875
transcript.pyannote[561].speaker SPEAKER_30
transcript.pyannote[561].start 5073.39846875
transcript.pyannote[561].end 5079.74346875
transcript.pyannote[562].speaker SPEAKER_04
transcript.pyannote[562].start 5079.67596875
transcript.pyannote[562].end 5085.27846875
transcript.pyannote[563].speaker SPEAKER_30
transcript.pyannote[563].start 5080.55346875
transcript.pyannote[563].end 5081.00909375
transcript.pyannote[564].speaker SPEAKER_30
transcript.pyannote[564].start 5082.78096875
transcript.pyannote[564].end 5090.52659375
transcript.pyannote[565].speaker SPEAKER_04
transcript.pyannote[565].start 5090.59409375
transcript.pyannote[565].end 5095.53846875
transcript.pyannote[566].speaker SPEAKER_30
transcript.pyannote[566].start 5095.77471875
transcript.pyannote[566].end 5095.97721875
transcript.pyannote[567].speaker SPEAKER_26
transcript.pyannote[567].start 5095.97721875
transcript.pyannote[567].end 5097.59721875
transcript.pyannote[568].speaker SPEAKER_04
transcript.pyannote[568].start 5096.17971875
transcript.pyannote[568].end 5097.61409375
transcript.pyannote[569].speaker SPEAKER_15
transcript.pyannote[569].start 5103.58784375
transcript.pyannote[569].end 5103.60471875
transcript.pyannote[570].speaker SPEAKER_04
transcript.pyannote[570].start 5103.60471875
transcript.pyannote[570].end 5104.12784375
transcript.pyannote[571].speaker SPEAKER_04
transcript.pyannote[571].start 5105.44409375
transcript.pyannote[571].end 5108.56596875
transcript.pyannote[572].speaker SPEAKER_04
transcript.pyannote[572].start 5111.63721875
transcript.pyannote[572].end 5112.53159375
transcript.pyannote[573].speaker SPEAKER_04
transcript.pyannote[573].start 5113.57784375
transcript.pyannote[573].end 5117.39159375
transcript.pyannote[574].speaker SPEAKER_30
transcript.pyannote[574].start 5117.76284375
transcript.pyannote[574].end 5118.11721875
transcript.pyannote[575].speaker SPEAKER_04
transcript.pyannote[575].start 5118.31971875
transcript.pyannote[575].end 5119.73721875
transcript.pyannote[576].speaker SPEAKER_04
transcript.pyannote[576].start 5120.36159375
transcript.pyannote[576].end 5123.82096875
transcript.pyannote[577].speaker SPEAKER_30
transcript.pyannote[577].start 5124.41159375
transcript.pyannote[577].end 5124.76596875
transcript.pyannote[578].speaker SPEAKER_04
transcript.pyannote[578].start 5125.60971875
transcript.pyannote[578].end 5127.06096875
transcript.pyannote[579].speaker SPEAKER_04
transcript.pyannote[579].start 5127.19596875
transcript.pyannote[579].end 5128.86659375
transcript.pyannote[580].speaker SPEAKER_30
transcript.pyannote[580].start 5129.27159375
transcript.pyannote[580].end 5129.59221875
transcript.pyannote[581].speaker SPEAKER_04
transcript.pyannote[581].start 5129.86221875
transcript.pyannote[581].end 5130.38534375
transcript.pyannote[582].speaker SPEAKER_04
transcript.pyannote[582].start 5131.19534375
transcript.pyannote[582].end 5134.60409375
transcript.pyannote[583].speaker SPEAKER_04
transcript.pyannote[583].start 5135.39721875
transcript.pyannote[583].end 5138.40096875
transcript.pyannote[584].speaker SPEAKER_04
transcript.pyannote[584].start 5138.73846875
transcript.pyannote[584].end 5141.43846875
transcript.pyannote[585].speaker SPEAKER_04
transcript.pyannote[585].start 5142.04596875
transcript.pyannote[585].end 5143.88534375
transcript.pyannote[586].speaker SPEAKER_04
transcript.pyannote[586].start 5144.42534375
transcript.pyannote[586].end 5145.62346875
transcript.pyannote[587].speaker SPEAKER_04
transcript.pyannote[587].start 5146.24784375
transcript.pyannote[587].end 5147.20971875
transcript.pyannote[588].speaker SPEAKER_04
transcript.pyannote[588].start 5147.47971875
transcript.pyannote[588].end 5150.65221875
transcript.pyannote[589].speaker SPEAKER_04
transcript.pyannote[589].start 5151.32721875
transcript.pyannote[589].end 5153.08221875
transcript.pyannote[590].speaker SPEAKER_04
transcript.pyannote[590].start 5153.97659375
transcript.pyannote[590].end 5154.93846875
transcript.pyannote[591].speaker SPEAKER_04
transcript.pyannote[591].start 5155.15784375
transcript.pyannote[591].end 5160.01784375
transcript.pyannote[592].speaker SPEAKER_04
transcript.pyannote[592].start 5160.76034375
transcript.pyannote[592].end 5162.78534375
transcript.pyannote[593].speaker SPEAKER_04
transcript.pyannote[593].start 5163.91596875
transcript.pyannote[593].end 5165.21534375
transcript.pyannote[594].speaker SPEAKER_04
transcript.pyannote[594].start 5166.27846875
transcript.pyannote[594].end 5166.88596875
transcript.pyannote[595].speaker SPEAKER_04
transcript.pyannote[595].start 5167.40909375
transcript.pyannote[595].end 5168.86034375
transcript.pyannote[596].speaker SPEAKER_04
transcript.pyannote[596].start 5169.51846875
transcript.pyannote[596].end 5171.29034375
transcript.pyannote[597].speaker SPEAKER_04
transcript.pyannote[597].start 5171.67846875
transcript.pyannote[597].end 5173.11284375
transcript.pyannote[598].speaker SPEAKER_04
transcript.pyannote[598].start 5174.78346875
transcript.pyannote[598].end 5175.82971875
transcript.pyannote[599].speaker SPEAKER_04
transcript.pyannote[599].start 5176.03221875
transcript.pyannote[599].end 5177.85471875
transcript.pyannote[600].speaker SPEAKER_30
transcript.pyannote[600].start 5178.86721875
transcript.pyannote[600].end 5182.68096875
transcript.pyannote[601].speaker SPEAKER_30
transcript.pyannote[601].start 5182.76534375
transcript.pyannote[601].end 5191.89471875
transcript.pyannote[602].speaker SPEAKER_04
transcript.pyannote[602].start 5191.82721875
transcript.pyannote[602].end 5201.24346875
transcript.pyannote[603].speaker SPEAKER_30
transcript.pyannote[603].start 5191.91159375
transcript.pyannote[603].end 5191.94534375
transcript.pyannote[604].speaker SPEAKER_30
transcript.pyannote[604].start 5191.96221875
transcript.pyannote[604].end 5192.01284375
transcript.pyannote[605].speaker SPEAKER_04
transcript.pyannote[605].start 5201.59784375
transcript.pyannote[605].end 5206.15409375
transcript.pyannote[606].speaker SPEAKER_04
transcript.pyannote[606].start 5206.81221875
transcript.pyannote[606].end 5208.09471875
transcript.pyannote[607].speaker SPEAKER_04
transcript.pyannote[607].start 5208.98909375
transcript.pyannote[607].end 5215.13159375
transcript.pyannote[608].speaker SPEAKER_04
transcript.pyannote[608].start 5215.70534375
transcript.pyannote[608].end 5216.56596875
transcript.pyannote[609].speaker SPEAKER_30
transcript.pyannote[609].start 5216.56596875
transcript.pyannote[609].end 5216.58284375
transcript.pyannote[610].speaker SPEAKER_30
transcript.pyannote[610].start 5217.24096875
transcript.pyannote[610].end 5226.31971875
transcript.pyannote[611].speaker SPEAKER_04
transcript.pyannote[611].start 5224.76721875
transcript.pyannote[611].end 5228.56409375
transcript.pyannote[612].speaker SPEAKER_30
transcript.pyannote[612].start 5226.74159375
transcript.pyannote[612].end 5227.28159375
transcript.pyannote[613].speaker SPEAKER_30
transcript.pyannote[613].start 5228.02409375
transcript.pyannote[613].end 5228.09159375
transcript.pyannote[614].speaker SPEAKER_30
transcript.pyannote[614].start 5228.56409375
transcript.pyannote[614].end 5237.11971875
transcript.pyannote[615].speaker SPEAKER_04
transcript.pyannote[615].start 5228.86784375
transcript.pyannote[615].end 5229.94784375
transcript.pyannote[616].speaker SPEAKER_04
transcript.pyannote[616].start 5232.76596875
transcript.pyannote[616].end 5234.85846875
transcript.pyannote[617].speaker SPEAKER_04
transcript.pyannote[617].start 5235.21284375
transcript.pyannote[617].end 5237.22096875
transcript.pyannote[618].speaker SPEAKER_04
transcript.pyannote[618].start 5237.55846875
transcript.pyannote[618].end 5242.85721875
transcript.pyannote[619].speaker SPEAKER_30
transcript.pyannote[619].start 5243.12721875
transcript.pyannote[619].end 5244.35909375
transcript.pyannote[620].speaker SPEAKER_04
transcript.pyannote[620].start 5243.26221875
transcript.pyannote[620].end 5244.44346875
transcript.pyannote[621].speaker SPEAKER_30
transcript.pyannote[621].start 5244.98346875
transcript.pyannote[621].end 5245.92846875
transcript.pyannote[622].speaker SPEAKER_04
transcript.pyannote[622].start 5245.38846875
transcript.pyannote[622].end 5249.06721875
transcript.pyannote[623].speaker SPEAKER_04
transcript.pyannote[623].start 5249.33721875
transcript.pyannote[623].end 5249.69159375
transcript.pyannote[624].speaker SPEAKER_04
transcript.pyannote[624].start 5250.38346875
transcript.pyannote[624].end 5252.62784375
transcript.pyannote[625].speaker SPEAKER_15
transcript.pyannote[625].start 5254.29846875
transcript.pyannote[625].end 5254.92284375
transcript.pyannote[626].speaker SPEAKER_04
transcript.pyannote[626].start 5255.83409375
transcript.pyannote[626].end 5256.88034375
transcript.pyannote[627].speaker SPEAKER_15
transcript.pyannote[627].start 5257.28534375
transcript.pyannote[627].end 5257.55534375
transcript.pyannote[628].speaker SPEAKER_04
transcript.pyannote[628].start 5257.47096875
transcript.pyannote[628].end 5257.48784375
transcript.pyannote[629].speaker SPEAKER_31
transcript.pyannote[629].start 5257.48784375
transcript.pyannote[629].end 5257.50471875
transcript.pyannote[630].speaker SPEAKER_04
transcript.pyannote[630].start 5257.50471875
transcript.pyannote[630].end 5257.97721875
transcript.pyannote[631].speaker SPEAKER_15
transcript.pyannote[631].start 5257.97721875
transcript.pyannote[631].end 5259.00659375
transcript.pyannote[632].speaker SPEAKER_15
transcript.pyannote[632].start 5259.58034375
transcript.pyannote[632].end 5262.92159375
transcript.pyannote[633].speaker SPEAKER_15
transcript.pyannote[633].start 5263.20846875
transcript.pyannote[633].end 5282.61471875
transcript.pyannote[634].speaker SPEAKER_04
transcript.pyannote[634].start 5264.77784375
transcript.pyannote[634].end 5265.67221875
transcript.pyannote[635].speaker SPEAKER_15
transcript.pyannote[635].start 5283.64409375
transcript.pyannote[635].end 5285.02784375
transcript.pyannote[636].speaker SPEAKER_04
transcript.pyannote[636].start 5285.02784375
transcript.pyannote[636].end 5286.02346875
transcript.pyannote[637].speaker SPEAKER_04
transcript.pyannote[637].start 5286.31034375
transcript.pyannote[637].end 5290.96784375
transcript.pyannote[638].speaker SPEAKER_15
transcript.pyannote[638].start 5290.96784375
transcript.pyannote[638].end 5291.64284375
transcript.pyannote[639].speaker SPEAKER_15
transcript.pyannote[639].start 5292.25034375
transcript.pyannote[639].end 5300.35034375
transcript.pyannote[640].speaker SPEAKER_15
transcript.pyannote[640].start 5300.70471875
transcript.pyannote[640].end 5313.02346875
transcript.pyannote[641].speaker SPEAKER_04
transcript.pyannote[641].start 5313.02346875
transcript.pyannote[641].end 5318.96346875
transcript.pyannote[642].speaker SPEAKER_15
transcript.pyannote[642].start 5318.96346875
transcript.pyannote[642].end 5331.21471875
transcript.pyannote[643].speaker SPEAKER_15
transcript.pyannote[643].start 5331.50159375
transcript.pyannote[643].end 5333.03721875
transcript.pyannote[644].speaker SPEAKER_31
transcript.pyannote[644].start 5331.67034375
transcript.pyannote[644].end 5332.36221875
transcript.pyannote[645].speaker SPEAKER_04
transcript.pyannote[645].start 5333.03721875
transcript.pyannote[645].end 5335.82159375
transcript.pyannote[646].speaker SPEAKER_04
transcript.pyannote[646].start 5336.14221875
transcript.pyannote[646].end 5336.88471875
transcript.pyannote[647].speaker SPEAKER_04
transcript.pyannote[647].start 5337.07034375
transcript.pyannote[647].end 5340.44534375
transcript.pyannote[648].speaker SPEAKER_15
transcript.pyannote[648].start 5338.82534375
transcript.pyannote[648].end 5340.22596875
transcript.pyannote[649].speaker SPEAKER_15
transcript.pyannote[649].start 5340.44534375
transcript.pyannote[649].end 5357.97846875
transcript.pyannote[650].speaker SPEAKER_31
transcript.pyannote[650].start 5356.07159375
transcript.pyannote[650].end 5357.18534375
transcript.pyannote[651].speaker SPEAKER_31
transcript.pyannote[651].start 5357.60721875
transcript.pyannote[651].end 5357.91096875
transcript.pyannote[652].speaker SPEAKER_31
transcript.pyannote[652].start 5357.92784375
transcript.pyannote[652].end 5357.94471875
transcript.pyannote[653].speaker SPEAKER_31
transcript.pyannote[653].start 5357.97846875
transcript.pyannote[653].end 5358.26534375
transcript.pyannote[654].speaker SPEAKER_15
transcript.pyannote[654].start 5358.43409375
transcript.pyannote[654].end 5361.38721875
transcript.pyannote[655].speaker SPEAKER_15
transcript.pyannote[655].start 5362.51784375
transcript.pyannote[655].end 5366.23034375
transcript.pyannote[656].speaker SPEAKER_04
transcript.pyannote[656].start 5363.56409375
transcript.pyannote[656].end 5364.00284375
transcript.pyannote[657].speaker SPEAKER_15
transcript.pyannote[657].start 5366.73659375
transcript.pyannote[657].end 5380.03409375
transcript.pyannote[658].speaker SPEAKER_04
transcript.pyannote[658].start 5367.56346875
transcript.pyannote[658].end 5368.30596875
transcript.pyannote[659].speaker SPEAKER_04
transcript.pyannote[659].start 5368.59284375
transcript.pyannote[659].end 5370.76971875
transcript.pyannote[660].speaker SPEAKER_04
transcript.pyannote[660].start 5372.91284375
transcript.pyannote[660].end 5373.23346875
transcript.pyannote[661].speaker SPEAKER_04
transcript.pyannote[661].start 5375.69721875
transcript.pyannote[661].end 5377.94159375
transcript.pyannote[662].speaker SPEAKER_15
transcript.pyannote[662].start 5380.25346875
transcript.pyannote[662].end 5380.28721875
transcript.pyannote[663].speaker SPEAKER_04
transcript.pyannote[663].start 5380.28721875
transcript.pyannote[663].end 5382.32909375
transcript.pyannote[664].speaker SPEAKER_15
transcript.pyannote[664].start 5380.37159375
transcript.pyannote[664].end 5382.05909375
transcript.pyannote[665].speaker SPEAKER_15
transcript.pyannote[665].start 5382.32909375
transcript.pyannote[665].end 5384.57346875
transcript.pyannote[666].speaker SPEAKER_04
transcript.pyannote[666].start 5382.58221875
transcript.pyannote[666].end 5386.80096875
transcript.pyannote[667].speaker SPEAKER_15
transcript.pyannote[667].start 5384.59034375
transcript.pyannote[667].end 5384.87721875
transcript.pyannote[668].speaker SPEAKER_15
transcript.pyannote[668].start 5386.80096875
transcript.pyannote[668].end 5387.56034375
transcript.pyannote[669].speaker SPEAKER_15
transcript.pyannote[669].start 5387.77971875
transcript.pyannote[669].end 5388.23534375
transcript.pyannote[670].speaker SPEAKER_15
transcript.pyannote[670].start 5388.92721875
transcript.pyannote[670].end 5395.69409375
transcript.pyannote[671].speaker SPEAKER_04
transcript.pyannote[671].start 5395.32284375
transcript.pyannote[671].end 5397.61784375
transcript.pyannote[672].speaker SPEAKER_15
transcript.pyannote[672].start 5397.61784375
transcript.pyannote[672].end 5397.85409375
transcript.pyannote[673].speaker SPEAKER_04
transcript.pyannote[673].start 5397.85409375
transcript.pyannote[673].end 5398.96784375
transcript.pyannote[674].speaker SPEAKER_15
transcript.pyannote[674].start 5398.96784375
transcript.pyannote[674].end 5399.11971875
transcript.pyannote[675].speaker SPEAKER_04
transcript.pyannote[675].start 5399.11971875
transcript.pyannote[675].end 5399.96346875
transcript.pyannote[676].speaker SPEAKER_15
transcript.pyannote[676].start 5399.96346875
transcript.pyannote[676].end 5407.27034375
transcript.pyannote[677].speaker SPEAKER_15
transcript.pyannote[677].start 5408.33346875
transcript.pyannote[677].end 5408.87346875
transcript.pyannote[678].speaker SPEAKER_15
transcript.pyannote[678].start 5408.95784375
transcript.pyannote[678].end 5410.03784375
transcript.pyannote[679].speaker SPEAKER_04
transcript.pyannote[679].start 5410.03784375
transcript.pyannote[679].end 5410.74659375
transcript.pyannote[680].speaker SPEAKER_15
transcript.pyannote[680].start 5410.74659375
transcript.pyannote[680].end 5410.78034375
transcript.pyannote[681].speaker SPEAKER_15
transcript.pyannote[681].start 5411.01659375
transcript.pyannote[681].end 5411.06721875
transcript.pyannote[682].speaker SPEAKER_04
transcript.pyannote[682].start 5411.06721875
transcript.pyannote[682].end 5413.00784375
transcript.pyannote[683].speaker SPEAKER_04
transcript.pyannote[683].start 5413.29471875
transcript.pyannote[683].end 5413.64909375
transcript.pyannote[684].speaker SPEAKER_04
transcript.pyannote[684].start 5414.05409375
transcript.pyannote[684].end 5414.99909375
transcript.pyannote[685].speaker SPEAKER_04
transcript.pyannote[685].start 5415.26909375
transcript.pyannote[685].end 5415.57284375
transcript.pyannote[686].speaker SPEAKER_04
transcript.pyannote[686].start 5415.91034375
transcript.pyannote[686].end 5418.40784375
transcript.pyannote[687].speaker SPEAKER_31
transcript.pyannote[687].start 5418.62721875
transcript.pyannote[687].end 5418.96471875
transcript.pyannote[688].speaker SPEAKER_04
transcript.pyannote[688].start 5419.60596875
transcript.pyannote[688].end 5420.53409375
transcript.pyannote[689].speaker SPEAKER_04
transcript.pyannote[689].start 5420.95596875
transcript.pyannote[689].end 5422.08659375
transcript.pyannote[690].speaker SPEAKER_04
transcript.pyannote[690].start 5422.98096875
transcript.pyannote[690].end 5423.70659375
transcript.pyannote[691].speaker SPEAKER_04
transcript.pyannote[691].start 5424.34784375
transcript.pyannote[691].end 5425.36034375
transcript.pyannote[692].speaker SPEAKER_04
transcript.pyannote[692].start 5425.84971875
transcript.pyannote[692].end 5428.02659375
transcript.pyannote[693].speaker SPEAKER_04
transcript.pyannote[693].start 5429.08971875
transcript.pyannote[693].end 5430.79409375
transcript.pyannote[694].speaker SPEAKER_04
transcript.pyannote[694].start 5430.96284375
transcript.pyannote[694].end 5432.31284375
transcript.pyannote[695].speaker SPEAKER_04
transcript.pyannote[695].start 5433.13971875
transcript.pyannote[695].end 5435.58659375
transcript.pyannote[696].speaker SPEAKER_04
transcript.pyannote[696].start 5436.00846875
transcript.pyannote[696].end 5438.70846875
transcript.pyannote[697].speaker SPEAKER_04
transcript.pyannote[697].start 5439.55221875
transcript.pyannote[697].end 5440.24409375
transcript.pyannote[698].speaker SPEAKER_04
transcript.pyannote[698].start 5440.51409375
transcript.pyannote[698].end 5441.37471875
transcript.pyannote[699].speaker SPEAKER_04
transcript.pyannote[699].start 5442.94409375
transcript.pyannote[699].end 5443.55159375
transcript.pyannote[700].speaker SPEAKER_04
transcript.pyannote[700].start 5445.15471875
transcript.pyannote[700].end 5446.53846875
transcript.pyannote[701].speaker SPEAKER_04
transcript.pyannote[701].start 5447.95596875
transcript.pyannote[701].end 5448.39471875
transcript.pyannote[702].speaker SPEAKER_04
transcript.pyannote[702].start 5448.78284375
transcript.pyannote[702].end 5449.49159375
transcript.pyannote[703].speaker SPEAKER_04
transcript.pyannote[703].start 5449.79534375
transcript.pyannote[703].end 5450.47034375
transcript.pyannote[704].speaker SPEAKER_04
transcript.pyannote[704].start 5450.74034375
transcript.pyannote[704].end 5453.62596875
transcript.pyannote[705].speaker SPEAKER_04
transcript.pyannote[705].start 5454.82409375
transcript.pyannote[705].end 5456.44409375
transcript.pyannote[706].speaker SPEAKER_04
transcript.pyannote[706].start 5456.76471875
transcript.pyannote[706].end 5457.74346875
transcript.pyannote[707].speaker SPEAKER_04
transcript.pyannote[707].start 5458.18221875
transcript.pyannote[707].end 5458.97534375
transcript.pyannote[708].speaker SPEAKER_04
transcript.pyannote[708].start 5459.53221875
transcript.pyannote[708].end 5461.87784375
transcript.pyannote[709].speaker SPEAKER_04
transcript.pyannote[709].start 5462.31659375
transcript.pyannote[709].end 5464.27409375
transcript.pyannote[710].speaker SPEAKER_04
transcript.pyannote[710].start 5465.30346875
transcript.pyannote[710].end 5466.06284375
transcript.pyannote[711].speaker SPEAKER_04
transcript.pyannote[711].start 5467.68284375
transcript.pyannote[711].end 5468.71221875
transcript.pyannote[712].speaker SPEAKER_04
transcript.pyannote[712].start 5469.97784375
transcript.pyannote[712].end 5472.27284375
transcript.pyannote[713].speaker SPEAKER_04
transcript.pyannote[713].start 5472.61034375
transcript.pyannote[713].end 5473.74096875
transcript.pyannote[714].speaker SPEAKER_04
transcript.pyannote[714].start 5474.26409375
transcript.pyannote[714].end 5475.46221875
transcript.pyannote[715].speaker SPEAKER_04
transcript.pyannote[715].start 5475.66471875
transcript.pyannote[715].end 5476.66034375
transcript.pyannote[716].speaker SPEAKER_15
transcript.pyannote[716].start 5477.23409375
transcript.pyannote[716].end 5478.98909375
transcript.pyannote[717].speaker SPEAKER_15
transcript.pyannote[717].start 5479.29284375
transcript.pyannote[717].end 5481.28409375
transcript.pyannote[718].speaker SPEAKER_15
transcript.pyannote[718].start 5482.29659375
transcript.pyannote[718].end 5488.72596875
transcript.pyannote[719].speaker SPEAKER_15
transcript.pyannote[719].start 5489.51909375
transcript.pyannote[719].end 5489.65409375
transcript.pyannote[720].speaker SPEAKER_15
transcript.pyannote[720].start 5490.16034375
transcript.pyannote[720].end 5497.87221875
transcript.pyannote[721].speaker SPEAKER_04
transcript.pyannote[721].start 5493.31596875
transcript.pyannote[721].end 5502.25971875
transcript.pyannote[722].speaker SPEAKER_04
transcript.pyannote[722].start 5502.41159375
transcript.pyannote[722].end 5503.30596875
transcript.pyannote[723].speaker SPEAKER_15
transcript.pyannote[723].start 5503.30596875
transcript.pyannote[723].end 5503.32284375
transcript.pyannote[724].speaker SPEAKER_04
transcript.pyannote[724].start 5503.93034375
transcript.pyannote[724].end 5503.94721875
transcript.pyannote[725].speaker SPEAKER_15
transcript.pyannote[725].start 5503.94721875
transcript.pyannote[725].end 5504.63909375
transcript.pyannote[726].speaker SPEAKER_15
transcript.pyannote[726].start 5505.55034375
transcript.pyannote[726].end 5542.03409375
transcript.pyannote[727].speaker SPEAKER_04
transcript.pyannote[727].start 5532.34784375
transcript.pyannote[727].end 5533.37721875
transcript.pyannote[728].speaker SPEAKER_04
transcript.pyannote[728].start 5533.66409375
transcript.pyannote[728].end 5534.86221875
transcript.pyannote[729].speaker SPEAKER_04
transcript.pyannote[729].start 5537.10659375
transcript.pyannote[729].end 5538.60846875
transcript.pyannote[730].speaker SPEAKER_04
transcript.pyannote[730].start 5539.50284375
transcript.pyannote[730].end 5539.97534375
transcript.pyannote[731].speaker SPEAKER_04
transcript.pyannote[731].start 5542.03409375
transcript.pyannote[731].end 5542.70909375
transcript.pyannote[732].speaker SPEAKER_15
transcript.pyannote[732].start 5542.70909375
transcript.pyannote[732].end 5561.00159375
transcript.pyannote[733].speaker SPEAKER_04
transcript.pyannote[733].start 5543.11409375
transcript.pyannote[733].end 5543.14784375
transcript.pyannote[734].speaker SPEAKER_04
transcript.pyannote[734].start 5559.82034375
transcript.pyannote[734].end 5573.23596875
transcript.pyannote[735].speaker SPEAKER_15
transcript.pyannote[735].start 5561.13659375
transcript.pyannote[735].end 5561.33909375
transcript.pyannote[736].speaker SPEAKER_04
transcript.pyannote[736].start 5573.52284375
transcript.pyannote[736].end 5574.85596875
transcript.pyannote[737].speaker SPEAKER_04
transcript.pyannote[737].start 5575.53096875
transcript.pyannote[737].end 5577.26909375
transcript.pyannote[738].speaker SPEAKER_04
transcript.pyannote[738].start 5577.64034375
transcript.pyannote[738].end 5585.13284375
transcript.pyannote[739].speaker SPEAKER_15
transcript.pyannote[739].start 5584.45784375
transcript.pyannote[739].end 5585.20034375
transcript.pyannote[740].speaker SPEAKER_04
transcript.pyannote[740].start 5585.20034375
transcript.pyannote[740].end 5585.31846875
transcript.pyannote[741].speaker SPEAKER_15
transcript.pyannote[741].start 5585.31846875
transcript.pyannote[741].end 5585.35221875
transcript.pyannote[742].speaker SPEAKER_04
transcript.pyannote[742].start 5585.35221875
transcript.pyannote[742].end 5585.41971875
transcript.pyannote[743].speaker SPEAKER_15
transcript.pyannote[743].start 5585.41971875
transcript.pyannote[743].end 5587.49534375
transcript.pyannote[744].speaker SPEAKER_04
transcript.pyannote[744].start 5585.48721875
transcript.pyannote[744].end 5585.50409375
transcript.pyannote[745].speaker SPEAKER_04
transcript.pyannote[745].start 5585.63909375
transcript.pyannote[745].end 5586.66846875
transcript.pyannote[746].speaker SPEAKER_04
transcript.pyannote[746].start 5587.49534375
transcript.pyannote[746].end 5587.56284375
transcript.pyannote[747].speaker SPEAKER_04
transcript.pyannote[747].start 5587.63034375
transcript.pyannote[747].end 5598.59909375
transcript.pyannote[748].speaker SPEAKER_15
transcript.pyannote[748].start 5588.79471875
transcript.pyannote[748].end 5588.86221875
transcript.pyannote[749].speaker SPEAKER_15
transcript.pyannote[749].start 5592.50721875
transcript.pyannote[749].end 5593.06409375
transcript.pyannote[750].speaker SPEAKER_15
transcript.pyannote[750].start 5595.69659375
transcript.pyannote[750].end 5598.56534375
transcript.pyannote[751].speaker SPEAKER_15
transcript.pyannote[751].start 5598.59909375
transcript.pyannote[751].end 5600.65784375
transcript.pyannote[752].speaker SPEAKER_04
transcript.pyannote[752].start 5599.88159375
transcript.pyannote[752].end 5599.96596875
transcript.pyannote[753].speaker SPEAKER_04
transcript.pyannote[753].start 5600.65784375
transcript.pyannote[753].end 5600.70846875
transcript.pyannote[754].speaker SPEAKER_15
transcript.pyannote[754].start 5600.70846875
transcript.pyannote[754].end 5602.00784375
transcript.pyannote[755].speaker SPEAKER_15
transcript.pyannote[755].start 5602.34534375
transcript.pyannote[755].end 5604.92721875
transcript.pyannote[756].speaker SPEAKER_15
transcript.pyannote[756].start 5605.16346875
transcript.pyannote[756].end 5607.47534375
transcript.pyannote[757].speaker SPEAKER_26
transcript.pyannote[757].start 5608.15034375
transcript.pyannote[757].end 5611.52534375
transcript.pyannote[758].speaker SPEAKER_15
transcript.pyannote[758].start 5608.96034375
transcript.pyannote[758].end 5609.28096875
transcript.pyannote[759].speaker SPEAKER_15
transcript.pyannote[759].start 5610.10784375
transcript.pyannote[759].end 5610.12471875
transcript.pyannote[760].speaker SPEAKER_04
transcript.pyannote[760].start 5610.12471875
transcript.pyannote[760].end 5620.58721875
transcript.pyannote[761].speaker SPEAKER_15
transcript.pyannote[761].start 5618.88284375
transcript.pyannote[761].end 5619.49034375
transcript.pyannote[762].speaker SPEAKER_15
transcript.pyannote[762].start 5619.86159375
transcript.pyannote[762].end 5625.86909375
transcript.pyannote[763].speaker SPEAKER_26
transcript.pyannote[763].start 5625.49784375
transcript.pyannote[763].end 5631.47159375
transcript.pyannote[764].speaker SPEAKER_10
transcript.pyannote[764].start 5643.43596875
transcript.pyannote[764].end 5644.26284375
transcript.pyannote[765].speaker SPEAKER_10
transcript.pyannote[765].start 5644.53284375
transcript.pyannote[765].end 5646.22034375
transcript.pyannote[766].speaker SPEAKER_26
transcript.pyannote[766].start 5646.52409375
transcript.pyannote[766].end 5646.91221875
transcript.pyannote[767].speaker SPEAKER_26
transcript.pyannote[767].start 5647.33409375
transcript.pyannote[767].end 5649.59534375
transcript.pyannote[768].speaker SPEAKER_26
transcript.pyannote[768].start 5652.73409375
transcript.pyannote[768].end 5653.29096875
transcript.pyannote[769].speaker SPEAKER_26
transcript.pyannote[769].start 5654.30346875
transcript.pyannote[769].end 5654.94471875
transcript.pyannote[770].speaker SPEAKER_10
transcript.pyannote[770].start 5656.27784375
transcript.pyannote[770].end 5674.70534375
transcript.pyannote[771].speaker SPEAKER_31
transcript.pyannote[771].start 5674.31721875
transcript.pyannote[771].end 5675.02596875
transcript.pyannote[772].speaker SPEAKER_10
transcript.pyannote[772].start 5675.02596875
transcript.pyannote[772].end 5679.44721875
transcript.pyannote[773].speaker SPEAKER_10
transcript.pyannote[773].start 5680.34159375
transcript.pyannote[773].end 5682.14721875
transcript.pyannote[774].speaker SPEAKER_10
transcript.pyannote[774].start 5682.29909375
transcript.pyannote[774].end 5683.02471875
transcript.pyannote[775].speaker SPEAKER_10
transcript.pyannote[775].start 5683.63221875
transcript.pyannote[775].end 5691.56346875
transcript.pyannote[776].speaker SPEAKER_30
transcript.pyannote[776].start 5692.13721875
transcript.pyannote[776].end 5704.52346875
transcript.pyannote[777].speaker SPEAKER_10
transcript.pyannote[777].start 5695.90034375
transcript.pyannote[777].end 5696.32221875
transcript.pyannote[778].speaker SPEAKER_10
transcript.pyannote[778].start 5703.83159375
transcript.pyannote[778].end 5720.53784375
transcript.pyannote[779].speaker SPEAKER_10
transcript.pyannote[779].start 5720.80784375
transcript.pyannote[779].end 5759.56971875
transcript.pyannote[780].speaker SPEAKER_00
transcript.pyannote[780].start 5727.92909375
transcript.pyannote[780].end 5728.03034375
transcript.pyannote[781].speaker SPEAKER_31
transcript.pyannote[781].start 5728.03034375
transcript.pyannote[781].end 5728.08096875
transcript.pyannote[782].speaker SPEAKER_31
transcript.pyannote[782].start 5728.13159375
transcript.pyannote[782].end 5728.14846875
transcript.pyannote[783].speaker SPEAKER_00
transcript.pyannote[783].start 5728.19909375
transcript.pyannote[783].end 5728.33409375
transcript.pyannote[784].speaker SPEAKER_31
transcript.pyannote[784].start 5728.33409375
transcript.pyannote[784].end 5728.36784375
transcript.pyannote[785].speaker SPEAKER_31
transcript.pyannote[785].start 5738.69534375
transcript.pyannote[785].end 5738.96534375
transcript.pyannote[786].speaker SPEAKER_00
transcript.pyannote[786].start 5738.96534375
transcript.pyannote[786].end 5739.97784375
transcript.pyannote[787].speaker SPEAKER_00
transcript.pyannote[787].start 5745.96846875
transcript.pyannote[787].end 5746.00221875
transcript.pyannote[788].speaker SPEAKER_36
transcript.pyannote[788].start 5746.00221875
transcript.pyannote[788].end 5746.17096875
transcript.pyannote[789].speaker SPEAKER_00
transcript.pyannote[789].start 5746.17096875
transcript.pyannote[789].end 5746.45784375
transcript.pyannote[790].speaker SPEAKER_31
transcript.pyannote[790].start 5751.18284375
transcript.pyannote[790].end 5751.90846875
transcript.pyannote[791].speaker SPEAKER_31
transcript.pyannote[791].start 5757.20721875
transcript.pyannote[791].end 5757.69659375
transcript.pyannote[792].speaker SPEAKER_31
transcript.pyannote[792].start 5759.43471875
transcript.pyannote[792].end 5759.92409375
transcript.pyannote[793].speaker SPEAKER_31
transcript.pyannote[793].start 5761.74659375
transcript.pyannote[793].end 5763.14721875
transcript.pyannote[794].speaker SPEAKER_10
transcript.pyannote[794].start 5761.83096875
transcript.pyannote[794].end 5780.07284375
transcript.pyannote[795].speaker SPEAKER_10
transcript.pyannote[795].start 5780.61284375
transcript.pyannote[795].end 5781.45659375
transcript.pyannote[796].speaker SPEAKER_10
transcript.pyannote[796].start 5782.11471875
transcript.pyannote[796].end 5786.28284375
transcript.pyannote[797].speaker SPEAKER_10
transcript.pyannote[797].start 5787.04221875
transcript.pyannote[797].end 5788.64534375
transcript.pyannote[798].speaker SPEAKER_10
transcript.pyannote[798].start 5789.21909375
transcript.pyannote[798].end 5790.73784375
transcript.pyannote[799].speaker SPEAKER_15
transcript.pyannote[799].start 5790.97409375
transcript.pyannote[799].end 5791.56471875
transcript.pyannote[800].speaker SPEAKER_15
transcript.pyannote[800].start 5791.91909375
transcript.pyannote[800].end 5792.59409375
transcript.pyannote[801].speaker SPEAKER_15
transcript.pyannote[801].start 5793.03284375
transcript.pyannote[801].end 5807.52846875
transcript.pyannote[802].speaker SPEAKER_00
transcript.pyannote[802].start 5801.60534375
transcript.pyannote[802].end 5801.95971875
transcript.pyannote[803].speaker SPEAKER_15
transcript.pyannote[803].start 5807.83221875
transcript.pyannote[803].end 5810.02596875
transcript.pyannote[804].speaker SPEAKER_15
transcript.pyannote[804].start 5810.22846875
transcript.pyannote[804].end 5818.96971875
transcript.pyannote[805].speaker SPEAKER_15
transcript.pyannote[805].start 5819.32409375
transcript.pyannote[805].end 5821.97346875
transcript.pyannote[806].speaker SPEAKER_10
transcript.pyannote[806].start 5821.97346875
transcript.pyannote[806].end 5824.70721875
transcript.pyannote[807].speaker SPEAKER_10
transcript.pyannote[807].start 5825.01096875
transcript.pyannote[807].end 5828.30159375
transcript.pyannote[808].speaker SPEAKER_10
transcript.pyannote[808].start 5828.89221875
transcript.pyannote[808].end 5832.04784375
transcript.pyannote[809].speaker SPEAKER_10
transcript.pyannote[809].start 5832.77346875
transcript.pyannote[809].end 5834.62971875
transcript.pyannote[810].speaker SPEAKER_10
transcript.pyannote[810].start 5835.47346875
transcript.pyannote[810].end 5842.13909375
transcript.pyannote[811].speaker SPEAKER_10
transcript.pyannote[811].start 5842.52721875
transcript.pyannote[811].end 5845.59846875
transcript.pyannote[812].speaker SPEAKER_10
transcript.pyannote[812].start 5845.88534375
transcript.pyannote[812].end 5849.22659375
transcript.pyannote[813].speaker SPEAKER_10
transcript.pyannote[813].start 5849.64846875
transcript.pyannote[813].end 5855.55471875
transcript.pyannote[814].speaker SPEAKER_10
transcript.pyannote[814].start 5855.72346875
transcript.pyannote[814].end 5863.31721875
transcript.pyannote[815].speaker SPEAKER_10
transcript.pyannote[815].start 5864.12721875
transcript.pyannote[815].end 5871.58596875
transcript.pyannote[816].speaker SPEAKER_10
transcript.pyannote[816].start 5872.32846875
transcript.pyannote[816].end 5878.03221875
transcript.pyannote[817].speaker SPEAKER_10
transcript.pyannote[817].start 5878.67346875
transcript.pyannote[817].end 5884.51221875
transcript.pyannote[818].speaker SPEAKER_10
transcript.pyannote[818].start 5884.61346875
transcript.pyannote[818].end 5886.25034375
transcript.pyannote[819].speaker SPEAKER_05
transcript.pyannote[819].start 5884.78221875
transcript.pyannote[819].end 5885.57534375
transcript.pyannote[820].speaker SPEAKER_10
transcript.pyannote[820].start 5886.79034375
transcript.pyannote[820].end 5889.30471875
transcript.pyannote[821].speaker SPEAKER_10
transcript.pyannote[821].start 5889.64221875
transcript.pyannote[821].end 5890.65471875
transcript.pyannote[822].speaker SPEAKER_10
transcript.pyannote[822].start 5891.48159375
transcript.pyannote[822].end 5891.92034375
transcript.pyannote[823].speaker SPEAKER_10
transcript.pyannote[823].start 5892.94971875
transcript.pyannote[823].end 5894.29971875
transcript.pyannote[824].speaker SPEAKER_10
transcript.pyannote[824].start 5894.63721875
transcript.pyannote[824].end 5900.47596875
transcript.pyannote[825].speaker SPEAKER_15
transcript.pyannote[825].start 5899.02471875
transcript.pyannote[825].end 5904.55971875
transcript.pyannote[826].speaker SPEAKER_10
transcript.pyannote[826].start 5904.17159375
transcript.pyannote[826].end 5904.91409375
transcript.pyannote[827].speaker SPEAKER_15
transcript.pyannote[827].start 5904.91409375
transcript.pyannote[827].end 5904.94784375
transcript.pyannote[828].speaker SPEAKER_10
transcript.pyannote[828].start 5904.94784375
transcript.pyannote[828].end 5904.99846875
transcript.pyannote[829].speaker SPEAKER_15
transcript.pyannote[829].start 5904.99846875
transcript.pyannote[829].end 5905.25159375
transcript.pyannote[830].speaker SPEAKER_10
transcript.pyannote[830].start 5905.25159375
transcript.pyannote[830].end 5905.40346875
transcript.pyannote[831].speaker SPEAKER_15
transcript.pyannote[831].start 5905.40346875
transcript.pyannote[831].end 5905.52159375
transcript.pyannote[832].speaker SPEAKER_10
transcript.pyannote[832].start 5905.52159375
transcript.pyannote[832].end 5905.55534375
transcript.pyannote[833].speaker SPEAKER_15
transcript.pyannote[833].start 5905.55534375
transcript.pyannote[833].end 5905.67346875
transcript.pyannote[834].speaker SPEAKER_10
transcript.pyannote[834].start 5905.67346875
transcript.pyannote[834].end 5905.72409375
transcript.pyannote[835].speaker SPEAKER_15
transcript.pyannote[835].start 5905.72409375
transcript.pyannote[835].end 5905.82534375
transcript.pyannote[836].speaker SPEAKER_10
transcript.pyannote[836].start 5905.82534375
transcript.pyannote[836].end 5964.09471875
transcript.pyannote[837].speaker SPEAKER_10
transcript.pyannote[837].start 5964.53346875
transcript.pyannote[837].end 5965.66409375
transcript.pyannote[838].speaker SPEAKER_10
transcript.pyannote[838].start 5966.11971875
transcript.pyannote[838].end 5966.62596875
transcript.pyannote[839].speaker SPEAKER_10
transcript.pyannote[839].start 5966.79471875
transcript.pyannote[839].end 5973.52784375
transcript.pyannote[840].speaker SPEAKER_10
transcript.pyannote[840].start 5973.74721875
transcript.pyannote[840].end 5974.94534375
transcript.pyannote[841].speaker SPEAKER_10
transcript.pyannote[841].start 5975.38409375
transcript.pyannote[841].end 5976.16034375
transcript.pyannote[842].speaker SPEAKER_10
transcript.pyannote[842].start 5976.49784375
transcript.pyannote[842].end 5983.50096875
transcript.pyannote[843].speaker SPEAKER_10
transcript.pyannote[843].start 5984.09159375
transcript.pyannote[843].end 5984.44596875
transcript.pyannote[844].speaker SPEAKER_10
transcript.pyannote[844].start 5985.39096875
transcript.pyannote[844].end 5986.96034375
transcript.pyannote[845].speaker SPEAKER_10
transcript.pyannote[845].start 5987.68596875
transcript.pyannote[845].end 6000.54471875
transcript.pyannote[846].speaker SPEAKER_15
transcript.pyannote[846].start 6001.30409375
transcript.pyannote[846].end 6003.39659375
transcript.pyannote[847].speaker SPEAKER_15
transcript.pyannote[847].start 6003.86909375
transcript.pyannote[847].end 6006.33284375
transcript.pyannote[848].speaker SPEAKER_15
transcript.pyannote[848].start 6007.34534375
transcript.pyannote[848].end 6012.57659375
transcript.pyannote[849].speaker SPEAKER_15
transcript.pyannote[849].start 6013.08284375
transcript.pyannote[849].end 6013.84221875
transcript.pyannote[850].speaker SPEAKER_15
transcript.pyannote[850].start 6014.43284375
transcript.pyannote[850].end 6021.57096875
transcript.pyannote[851].speaker SPEAKER_31
transcript.pyannote[851].start 6017.97659375
transcript.pyannote[851].end 6017.99346875
transcript.pyannote[852].speaker SPEAKER_07
transcript.pyannote[852].start 6017.99346875
transcript.pyannote[852].end 6019.34346875
transcript.pyannote[853].speaker SPEAKER_07
transcript.pyannote[853].start 6019.51221875
transcript.pyannote[853].end 6020.79471875
transcript.pyannote[854].speaker SPEAKER_15
transcript.pyannote[854].start 6022.38096875
transcript.pyannote[854].end 6025.04721875
transcript.pyannote[855].speaker SPEAKER_15
transcript.pyannote[855].start 6025.46909375
transcript.pyannote[855].end 6026.22846875
transcript.pyannote[856].speaker SPEAKER_10
transcript.pyannote[856].start 6025.57034375
transcript.pyannote[856].end 6025.72221875
transcript.pyannote[857].speaker SPEAKER_02
transcript.pyannote[857].start 6025.72221875
transcript.pyannote[857].end 6025.89096875
transcript.pyannote[858].speaker SPEAKER_10
transcript.pyannote[858].start 6025.89096875
transcript.pyannote[858].end 6026.05971875
transcript.pyannote[859].speaker SPEAKER_15
transcript.pyannote[859].start 6026.27909375
transcript.pyannote[859].end 6028.64159375
transcript.pyannote[860].speaker SPEAKER_10
transcript.pyannote[860].start 6027.59534375
transcript.pyannote[860].end 6028.70909375
transcript.pyannote[861].speaker SPEAKER_15
transcript.pyannote[861].start 6028.70909375
transcript.pyannote[861].end 6028.72596875
transcript.pyannote[862].speaker SPEAKER_15
transcript.pyannote[862].start 6028.96221875
transcript.pyannote[862].end 6032.47221875
transcript.pyannote[863].speaker SPEAKER_10
transcript.pyannote[863].start 6029.41784375
transcript.pyannote[863].end 6034.54784375
transcript.pyannote[864].speaker SPEAKER_15
transcript.pyannote[864].start 6032.50596875
transcript.pyannote[864].end 6032.74221875
transcript.pyannote[865].speaker SPEAKER_15
transcript.pyannote[865].start 6034.54784375
transcript.pyannote[865].end 6037.18034375
transcript.pyannote[866].speaker SPEAKER_10
transcript.pyannote[866].start 6037.18034375
transcript.pyannote[866].end 6038.02409375
transcript.pyannote[867].speaker SPEAKER_15
transcript.pyannote[867].start 6037.23096875
transcript.pyannote[867].end 6037.97346875
transcript.pyannote[868].speaker SPEAKER_15
transcript.pyannote[868].start 6038.02409375
transcript.pyannote[868].end 6038.96909375
transcript.pyannote[869].speaker SPEAKER_10
transcript.pyannote[869].start 6038.96909375
transcript.pyannote[869].end 6041.41596875
transcript.pyannote[870].speaker SPEAKER_15
transcript.pyannote[870].start 6039.17159375
transcript.pyannote[870].end 6039.69471875
transcript.pyannote[871].speaker SPEAKER_10
transcript.pyannote[871].start 6042.88409375
transcript.pyannote[871].end 6045.31409375
transcript.pyannote[872].speaker SPEAKER_10
transcript.pyannote[872].start 6045.46596875
transcript.pyannote[872].end 6045.85409375
transcript.pyannote[873].speaker SPEAKER_15
transcript.pyannote[873].start 6045.53346875
transcript.pyannote[873].end 6046.00596875
transcript.pyannote[874].speaker SPEAKER_10
transcript.pyannote[874].start 6046.00596875
transcript.pyannote[874].end 6046.84971875
transcript.pyannote[875].speaker SPEAKER_10
transcript.pyannote[875].start 6047.08596875
transcript.pyannote[875].end 6047.38971875
transcript.pyannote[876].speaker SPEAKER_10
transcript.pyannote[876].start 6047.72721875
transcript.pyannote[876].end 6058.13909375
transcript.pyannote[877].speaker SPEAKER_15
transcript.pyannote[877].start 6050.71409375
transcript.pyannote[877].end 6052.04721875
transcript.pyannote[878].speaker SPEAKER_15
transcript.pyannote[878].start 6053.90346875
transcript.pyannote[878].end 6054.29159375
transcript.pyannote[879].speaker SPEAKER_10
transcript.pyannote[879].start 6059.35409375
transcript.pyannote[879].end 6060.02909375
transcript.pyannote[880].speaker SPEAKER_15
transcript.pyannote[880].start 6059.64096875
transcript.pyannote[880].end 6059.77596875
transcript.pyannote[881].speaker SPEAKER_15
transcript.pyannote[881].start 6060.02909375
transcript.pyannote[881].end 6060.23159375
transcript.pyannote[882].speaker SPEAKER_10
transcript.pyannote[882].start 6060.23159375
transcript.pyannote[882].end 6060.43409375
transcript.pyannote[883].speaker SPEAKER_15
transcript.pyannote[883].start 6060.43409375
transcript.pyannote[883].end 6060.56909375
transcript.pyannote[884].speaker SPEAKER_10
transcript.pyannote[884].start 6060.56909375
transcript.pyannote[884].end 6073.61346875
transcript.pyannote[885].speaker SPEAKER_15
transcript.pyannote[885].start 6060.63659375
transcript.pyannote[885].end 6061.61534375
transcript.pyannote[886].speaker SPEAKER_15
transcript.pyannote[886].start 6066.34034375
transcript.pyannote[886].end 6067.01534375
transcript.pyannote[887].speaker SPEAKER_26
transcript.pyannote[887].start 6076.14471875
transcript.pyannote[887].end 6077.22471875
transcript.pyannote[888].speaker SPEAKER_10
transcript.pyannote[888].start 6077.98409375
transcript.pyannote[888].end 6078.33846875
transcript.pyannote[889].speaker SPEAKER_10
transcript.pyannote[889].start 6078.35534375
transcript.pyannote[889].end 6080.04284375
transcript.pyannote[890].speaker SPEAKER_10
transcript.pyannote[890].start 6080.19471875
transcript.pyannote[890].end 6082.40534375
transcript.pyannote[891].speaker SPEAKER_26
transcript.pyannote[891].start 6080.22846875
transcript.pyannote[891].end 6080.63346875
transcript.pyannote[892].speaker SPEAKER_10
transcript.pyannote[892].start 6083.29971875
transcript.pyannote[892].end 6088.17659375
transcript.pyannote[893].speaker SPEAKER_10
transcript.pyannote[893].start 6088.90221875
transcript.pyannote[893].end 6089.27346875
transcript.pyannote[894].speaker SPEAKER_10
transcript.pyannote[894].start 6089.69534375
transcript.pyannote[894].end 6091.70346875
transcript.pyannote[895].speaker SPEAKER_10
transcript.pyannote[895].start 6092.02409375
transcript.pyannote[895].end 6092.31096875
transcript.pyannote[896].speaker SPEAKER_30
transcript.pyannote[896].start 6093.96471875
transcript.pyannote[896].end 6104.10659375
transcript.pyannote[897].speaker SPEAKER_10
transcript.pyannote[897].start 6103.21221875
transcript.pyannote[897].end 6105.23721875
transcript.pyannote[898].speaker SPEAKER_30
transcript.pyannote[898].start 6104.51159375
transcript.pyannote[898].end 6109.77659375
transcript.pyannote[899].speaker SPEAKER_10
transcript.pyannote[899].start 6107.59971875
transcript.pyannote[899].end 6107.65034375
transcript.pyannote[900].speaker SPEAKER_10
transcript.pyannote[900].start 6108.12284375
transcript.pyannote[900].end 6108.22409375
transcript.pyannote[901].speaker SPEAKER_10
transcript.pyannote[901].start 6109.25346875
transcript.pyannote[901].end 6127.05659375
transcript.pyannote[902].speaker SPEAKER_30
transcript.pyannote[902].start 6117.38721875
transcript.pyannote[902].end 6117.57284375
transcript.pyannote[903].speaker SPEAKER_31
transcript.pyannote[903].start 6117.57284375
transcript.pyannote[903].end 6117.70784375
transcript.pyannote[904].speaker SPEAKER_00
transcript.pyannote[904].start 6117.70784375
transcript.pyannote[904].end 6117.72471875
transcript.pyannote[905].speaker SPEAKER_10
transcript.pyannote[905].start 6127.32659375
transcript.pyannote[905].end 6128.74409375
transcript.pyannote[906].speaker SPEAKER_30
transcript.pyannote[906].start 6129.41909375
transcript.pyannote[906].end 6130.31346875
transcript.pyannote[907].speaker SPEAKER_10
transcript.pyannote[907].start 6130.36409375
transcript.pyannote[907].end 6137.82284375
transcript.pyannote[908].speaker SPEAKER_30
transcript.pyannote[908].start 6135.84846875
transcript.pyannote[908].end 6138.53159375
transcript.pyannote[909].speaker SPEAKER_10
transcript.pyannote[909].start 6138.49784375
transcript.pyannote[909].end 6138.93659375
transcript.pyannote[910].speaker SPEAKER_30
transcript.pyannote[910].start 6138.58221875
transcript.pyannote[910].end 6138.61596875
transcript.pyannote[911].speaker SPEAKER_30
transcript.pyannote[911].start 6139.00409375
transcript.pyannote[911].end 6139.37534375
transcript.pyannote[912].speaker SPEAKER_10
transcript.pyannote[912].start 6139.34159375
transcript.pyannote[912].end 6141.06284375
transcript.pyannote[913].speaker SPEAKER_10
transcript.pyannote[913].start 6141.58596875
transcript.pyannote[913].end 6142.22721875
transcript.pyannote[914].speaker SPEAKER_10
transcript.pyannote[914].start 6142.76721875
transcript.pyannote[914].end 6145.11284375
transcript.pyannote[915].speaker SPEAKER_30
transcript.pyannote[915].start 6144.94409375
transcript.pyannote[915].end 6145.36596875
transcript.pyannote[916].speaker SPEAKER_10
transcript.pyannote[916].start 6145.36596875
transcript.pyannote[916].end 6147.42471875
transcript.pyannote[917].speaker SPEAKER_30
transcript.pyannote[917].start 6147.42471875
transcript.pyannote[917].end 6148.69034375
transcript.pyannote[918].speaker SPEAKER_10
transcript.pyannote[918].start 6148.50471875
transcript.pyannote[918].end 6149.78721875
transcript.pyannote[919].speaker SPEAKER_30
transcript.pyannote[919].start 6149.55096875
transcript.pyannote[919].end 6149.92221875
transcript.pyannote[920].speaker SPEAKER_10
transcript.pyannote[920].start 6149.92221875
transcript.pyannote[920].end 6159.08534375
transcript.pyannote[921].speaker SPEAKER_31
transcript.pyannote[921].start 6159.10221875
transcript.pyannote[921].end 6159.57471875
transcript.pyannote[922].speaker SPEAKER_10
transcript.pyannote[922].start 6159.86159375
transcript.pyannote[922].end 6167.26971875
transcript.pyannote[923].speaker SPEAKER_30
transcript.pyannote[923].start 6166.99971875
transcript.pyannote[923].end 6168.78846875
transcript.pyannote[924].speaker SPEAKER_10
transcript.pyannote[924].start 6167.97846875
transcript.pyannote[924].end 6173.39534375
transcript.pyannote[925].speaker SPEAKER_30
transcript.pyannote[925].start 6173.51346875
transcript.pyannote[925].end 6183.68909375
transcript.pyannote[926].speaker SPEAKER_10
transcript.pyannote[926].start 6173.59784375
transcript.pyannote[926].end 6173.95221875
transcript.pyannote[927].speaker SPEAKER_10
transcript.pyannote[927].start 6181.24221875
transcript.pyannote[927].end 6182.27159375
transcript.pyannote[928].speaker SPEAKER_10
transcript.pyannote[928].start 6183.46971875
transcript.pyannote[928].end 6185.39346875
transcript.pyannote[929].speaker SPEAKER_10
transcript.pyannote[929].start 6185.42721875
transcript.pyannote[929].end 6185.46096875
transcript.pyannote[930].speaker SPEAKER_30
transcript.pyannote[930].start 6185.46096875
transcript.pyannote[930].end 6185.81534375
transcript.pyannote[931].speaker SPEAKER_10
transcript.pyannote[931].start 6185.81534375
transcript.pyannote[931].end 6199.60221875
transcript.pyannote[932].speaker SPEAKER_30
transcript.pyannote[932].start 6199.38284375
transcript.pyannote[932].end 6216.64596875
transcript.pyannote[933].speaker SPEAKER_10
transcript.pyannote[933].start 6203.36534375
transcript.pyannote[933].end 6203.82096875
transcript.pyannote[934].speaker SPEAKER_10
transcript.pyannote[934].start 6207.07784375
transcript.pyannote[934].end 6214.01346875
transcript.pyannote[935].speaker SPEAKER_10
transcript.pyannote[935].start 6215.19471875
transcript.pyannote[935].end 6229.42034375
transcript.pyannote[936].speaker SPEAKER_30
transcript.pyannote[936].start 6219.39659375
transcript.pyannote[936].end 6220.45971875
transcript.pyannote[937].speaker SPEAKER_31
transcript.pyannote[937].start 6222.94034375
transcript.pyannote[937].end 6223.46346875
transcript.pyannote[938].speaker SPEAKER_00
transcript.pyannote[938].start 6227.78346875
transcript.pyannote[938].end 6227.81721875
transcript.pyannote[939].speaker SPEAKER_31
transcript.pyannote[939].start 6227.81721875
transcript.pyannote[939].end 6227.83409375
transcript.pyannote[940].speaker SPEAKER_06
transcript.pyannote[940].start 6227.83409375
transcript.pyannote[940].end 6228.34034375
transcript.pyannote[941].speaker SPEAKER_10
transcript.pyannote[941].start 6229.72409375
transcript.pyannote[941].end 6238.73534375
transcript.pyannote[942].speaker SPEAKER_10
transcript.pyannote[942].start 6239.61284375
transcript.pyannote[942].end 6240.45659375
transcript.pyannote[943].speaker SPEAKER_35
transcript.pyannote[943].start 6239.69721875
transcript.pyannote[943].end 6240.42284375
transcript.pyannote[944].speaker SPEAKER_10
transcript.pyannote[944].start 6241.14846875
transcript.pyannote[944].end 6241.63784375
transcript.pyannote[945].speaker SPEAKER_10
transcript.pyannote[945].start 6242.05971875
transcript.pyannote[945].end 6246.44721875
transcript.pyannote[946].speaker SPEAKER_10
transcript.pyannote[946].start 6247.24034375
transcript.pyannote[946].end 6247.78034375
transcript.pyannote[947].speaker SPEAKER_10
transcript.pyannote[947].start 6248.47221875
transcript.pyannote[947].end 6249.65346875
transcript.pyannote[948].speaker SPEAKER_10
transcript.pyannote[948].start 6250.09221875
transcript.pyannote[948].end 6250.64909375
transcript.pyannote[949].speaker SPEAKER_10
transcript.pyannote[949].start 6250.83471875
transcript.pyannote[949].end 6253.36596875
transcript.pyannote[950].speaker SPEAKER_10
transcript.pyannote[950].start 6253.95659375
transcript.pyannote[950].end 6254.44596875
transcript.pyannote[951].speaker SPEAKER_10
transcript.pyannote[951].start 6255.76221875
transcript.pyannote[951].end 6258.46221875
transcript.pyannote[952].speaker SPEAKER_10
transcript.pyannote[952].start 6259.22159375
transcript.pyannote[952].end 6262.73159375
transcript.pyannote[953].speaker SPEAKER_10
transcript.pyannote[953].start 6263.23784375
transcript.pyannote[953].end 6264.84096875
transcript.pyannote[954].speaker SPEAKER_10
transcript.pyannote[954].start 6265.65096875
transcript.pyannote[954].end 6266.03909375
transcript.pyannote[955].speaker SPEAKER_31
transcript.pyannote[955].start 6266.34284375
transcript.pyannote[955].end 6266.83221875
transcript.pyannote[956].speaker SPEAKER_10
transcript.pyannote[956].start 6266.89971875
transcript.pyannote[956].end 6268.68846875
transcript.pyannote[957].speaker SPEAKER_31
transcript.pyannote[957].start 6268.75596875
transcript.pyannote[957].end 6269.24534375
transcript.pyannote[958].speaker SPEAKER_10
transcript.pyannote[958].start 6269.44784375
transcript.pyannote[958].end 6277.19346875
transcript.pyannote[959].speaker SPEAKER_30
transcript.pyannote[959].start 6277.59846875
transcript.pyannote[959].end 6278.00346875
transcript.pyannote[960].speaker SPEAKER_10
transcript.pyannote[960].start 6277.91909375
transcript.pyannote[960].end 6279.16784375
transcript.pyannote[961].speaker SPEAKER_30
transcript.pyannote[961].start 6279.55596875
transcript.pyannote[961].end 6283.77471875
transcript.pyannote[962].speaker SPEAKER_10
transcript.pyannote[962].start 6283.80846875
transcript.pyannote[962].end 6289.30971875
transcript.pyannote[963].speaker SPEAKER_30
transcript.pyannote[963].start 6285.44534375
transcript.pyannote[963].end 6286.59284375
transcript.pyannote[964].speaker SPEAKER_30
transcript.pyannote[964].start 6291.21659375
transcript.pyannote[964].end 6293.20784375
transcript.pyannote[965].speaker SPEAKER_10
transcript.pyannote[965].start 6291.46971875
transcript.pyannote[965].end 6291.92534375
transcript.pyannote[966].speaker SPEAKER_10
transcript.pyannote[966].start 6293.20784375
transcript.pyannote[966].end 6294.27096875
transcript.pyannote[967].speaker SPEAKER_30
transcript.pyannote[967].start 6293.83221875
transcript.pyannote[967].end 6293.93346875
transcript.pyannote[968].speaker SPEAKER_10
transcript.pyannote[968].start 6294.47346875
transcript.pyannote[968].end 6295.68846875
transcript.pyannote[969].speaker SPEAKER_06
transcript.pyannote[969].start 6294.69284375
transcript.pyannote[969].end 6294.92909375
transcript.pyannote[970].speaker SPEAKER_10
transcript.pyannote[970].start 6295.89096875
transcript.pyannote[970].end 6297.59534375
transcript.pyannote[971].speaker SPEAKER_30
transcript.pyannote[971].start 6297.27471875
transcript.pyannote[971].end 6316.73159375
transcript.pyannote[972].speaker SPEAKER_10
transcript.pyannote[972].start 6304.48034375
transcript.pyannote[972].end 6304.81784375
transcript.pyannote[973].speaker SPEAKER_31
transcript.pyannote[973].start 6304.81784375
transcript.pyannote[973].end 6304.86846875
transcript.pyannote[974].speaker SPEAKER_00
transcript.pyannote[974].start 6304.86846875
transcript.pyannote[974].end 6304.88534375
transcript.pyannote[975].speaker SPEAKER_10
transcript.pyannote[975].start 6312.02346875
transcript.pyannote[975].end 6312.36096875
transcript.pyannote[976].speaker SPEAKER_10
transcript.pyannote[976].start 6315.68534375
transcript.pyannote[976].end 6335.00721875
transcript.pyannote[977].speaker SPEAKER_30
transcript.pyannote[977].start 6335.22659375
transcript.pyannote[977].end 6336.23909375
transcript.pyannote[978].speaker SPEAKER_10
transcript.pyannote[978].start 6335.61471875
transcript.pyannote[978].end 6337.28534375
transcript.pyannote[979].speaker SPEAKER_30
transcript.pyannote[979].start 6337.45409375
transcript.pyannote[979].end 6343.79909375
transcript.pyannote[980].speaker SPEAKER_10
transcript.pyannote[980].start 6339.10784375
transcript.pyannote[980].end 6340.42409375
transcript.pyannote[981].speaker SPEAKER_10
transcript.pyannote[981].start 6341.40284375
transcript.pyannote[981].end 6357.99096875
transcript.pyannote[982].speaker SPEAKER_30
transcript.pyannote[982].start 6344.47409375
transcript.pyannote[982].end 6345.01409375
transcript.pyannote[983].speaker SPEAKER_30
transcript.pyannote[983].start 6347.41034375
transcript.pyannote[983].end 6347.51159375
transcript.pyannote[984].speaker SPEAKER_31
transcript.pyannote[984].start 6347.51159375
transcript.pyannote[984].end 6347.71409375
transcript.pyannote[985].speaker SPEAKER_30
transcript.pyannote[985].start 6347.71409375
transcript.pyannote[985].end 6347.74784375
transcript.pyannote[986].speaker SPEAKER_31
transcript.pyannote[986].start 6358.14284375
transcript.pyannote[986].end 6358.19346875
transcript.pyannote[987].speaker SPEAKER_08
transcript.pyannote[987].start 6358.19346875
transcript.pyannote[987].end 6358.21034375
transcript.pyannote[988].speaker SPEAKER_31
transcript.pyannote[988].start 6358.21034375
transcript.pyannote[988].end 6358.49721875
transcript.pyannote[989].speaker SPEAKER_10
transcript.pyannote[989].start 6358.49721875
transcript.pyannote[989].end 6367.42409375
transcript.pyannote[990].speaker SPEAKER_31
transcript.pyannote[990].start 6358.51409375
transcript.pyannote[990].end 6358.54784375
transcript.pyannote[991].speaker SPEAKER_31
transcript.pyannote[991].start 6367.08659375
transcript.pyannote[991].end 6369.06096875
transcript.pyannote[992].speaker SPEAKER_10
transcript.pyannote[992].start 6367.91346875
transcript.pyannote[992].end 6368.60534375
transcript.pyannote[993].speaker SPEAKER_10
transcript.pyannote[993].start 6368.67284375
transcript.pyannote[993].end 6404.70096875
transcript.pyannote[994].speaker SPEAKER_31
transcript.pyannote[994].start 6371.25471875
transcript.pyannote[994].end 6371.65971875
transcript.pyannote[995].speaker SPEAKER_31
transcript.pyannote[995].start 6386.59409375
transcript.pyannote[995].end 6387.03284375
transcript.pyannote[996].speaker SPEAKER_00
transcript.pyannote[996].start 6387.03284375
transcript.pyannote[996].end 6387.11721875
transcript.pyannote[997].speaker SPEAKER_06
transcript.pyannote[997].start 6399.94221875
transcript.pyannote[997].end 6400.38096875
transcript.pyannote[998].speaker SPEAKER_10
transcript.pyannote[998].start 6405.00471875
transcript.pyannote[998].end 6407.46846875
transcript.pyannote[999].speaker SPEAKER_10
transcript.pyannote[999].start 6407.67096875
transcript.pyannote[999].end 6409.96596875
transcript.pyannote[1000].speaker SPEAKER_26
transcript.pyannote[1000].start 6409.20659375
transcript.pyannote[1000].end 6413.79659375
transcript.pyannote[1001].speaker SPEAKER_14
transcript.pyannote[1001].start 6426.87471875
transcript.pyannote[1001].end 6430.99221875
transcript.pyannote[1002].speaker SPEAKER_14
transcript.pyannote[1002].start 6431.85284375
transcript.pyannote[1002].end 6432.88221875
transcript.pyannote[1003].speaker SPEAKER_14
transcript.pyannote[1003].start 6433.05096875
transcript.pyannote[1003].end 6433.62471875
transcript.pyannote[1004].speaker SPEAKER_14
transcript.pyannote[1004].start 6434.28284375
transcript.pyannote[1004].end 6434.78909375
transcript.pyannote[1005].speaker SPEAKER_14
transcript.pyannote[1005].start 6434.95784375
transcript.pyannote[1005].end 6435.91971875
transcript.pyannote[1006].speaker SPEAKER_14
transcript.pyannote[1006].start 6439.64909375
transcript.pyannote[1006].end 6441.26909375
transcript.pyannote[1007].speaker SPEAKER_14
transcript.pyannote[1007].start 6441.58971875
transcript.pyannote[1007].end 6441.96096875
transcript.pyannote[1008].speaker SPEAKER_14
transcript.pyannote[1008].start 6442.87221875
transcript.pyannote[1008].end 6453.25034375
transcript.pyannote[1009].speaker SPEAKER_00
transcript.pyannote[1009].start 6447.47909375
transcript.pyannote[1009].end 6447.49596875
transcript.pyannote[1010].speaker SPEAKER_31
transcript.pyannote[1010].start 6447.49596875
transcript.pyannote[1010].end 6447.90096875
transcript.pyannote[1011].speaker SPEAKER_35
transcript.pyannote[1011].start 6450.11159375
transcript.pyannote[1011].end 6450.65159375
transcript.pyannote[1012].speaker SPEAKER_14
transcript.pyannote[1012].start 6453.73971875
transcript.pyannote[1012].end 6456.23721875
transcript.pyannote[1013].speaker SPEAKER_35
transcript.pyannote[1013].start 6453.75659375
transcript.pyannote[1013].end 6454.12784375
transcript.pyannote[1014].speaker SPEAKER_35
transcript.pyannote[1014].start 6456.70971875
transcript.pyannote[1014].end 6457.16534375
transcript.pyannote[1015].speaker SPEAKER_14
transcript.pyannote[1015].start 6457.16534375
transcript.pyannote[1015].end 6458.39721875
transcript.pyannote[1016].speaker SPEAKER_14
transcript.pyannote[1016].start 6458.53221875
transcript.pyannote[1016].end 6462.48096875
transcript.pyannote[1017].speaker SPEAKER_14
transcript.pyannote[1017].start 6462.86909375
transcript.pyannote[1017].end 6464.40471875
transcript.pyannote[1018].speaker SPEAKER_14
transcript.pyannote[1018].start 6464.84346875
transcript.pyannote[1018].end 6467.50971875
transcript.pyannote[1019].speaker SPEAKER_31
transcript.pyannote[1019].start 6468.10034375
transcript.pyannote[1019].end 6468.11721875
transcript.pyannote[1020].speaker SPEAKER_14
transcript.pyannote[1020].start 6468.11721875
transcript.pyannote[1020].end 6470.68221875
transcript.pyannote[1021].speaker SPEAKER_14
transcript.pyannote[1021].start 6471.17159375
transcript.pyannote[1021].end 6471.99846875
transcript.pyannote[1022].speaker SPEAKER_14
transcript.pyannote[1022].start 6472.53846875
transcript.pyannote[1022].end 6474.42846875
transcript.pyannote[1023].speaker SPEAKER_14
transcript.pyannote[1023].start 6474.58034375
transcript.pyannote[1023].end 6480.03096875
transcript.pyannote[1024].speaker SPEAKER_14
transcript.pyannote[1024].start 6480.46971875
transcript.pyannote[1024].end 6481.16159375
transcript.pyannote[1025].speaker SPEAKER_14
transcript.pyannote[1025].start 6481.70159375
transcript.pyannote[1025].end 6484.53659375
transcript.pyannote[1026].speaker SPEAKER_14
transcript.pyannote[1026].start 6484.94159375
transcript.pyannote[1026].end 6487.10159375
transcript.pyannote[1027].speaker SPEAKER_14
transcript.pyannote[1027].start 6487.50659375
transcript.pyannote[1027].end 6493.00784375
transcript.pyannote[1028].speaker SPEAKER_14
transcript.pyannote[1028].start 6493.44659375
transcript.pyannote[1028].end 6543.31221875
transcript.pyannote[1029].speaker SPEAKER_16
transcript.pyannote[1029].start 6517.37534375
transcript.pyannote[1029].end 6517.72971875
transcript.pyannote[1030].speaker SPEAKER_16
transcript.pyannote[1030].start 6521.42534375
transcript.pyannote[1030].end 6521.81346875
transcript.pyannote[1031].speaker SPEAKER_31
transcript.pyannote[1031].start 6528.41159375
transcript.pyannote[1031].end 6528.46221875
transcript.pyannote[1032].speaker SPEAKER_31
transcript.pyannote[1032].start 6528.68159375
transcript.pyannote[1032].end 6528.85034375
transcript.pyannote[1033].speaker SPEAKER_14
transcript.pyannote[1033].start 6543.97034375
transcript.pyannote[1033].end 6544.62846875
transcript.pyannote[1034].speaker SPEAKER_14
transcript.pyannote[1034].start 6544.83096875
transcript.pyannote[1034].end 6547.64909375
transcript.pyannote[1035].speaker SPEAKER_31
transcript.pyannote[1035].start 6547.83471875
transcript.pyannote[1035].end 6548.40846875
transcript.pyannote[1036].speaker SPEAKER_14
transcript.pyannote[1036].start 6548.08784375
transcript.pyannote[1036].end 6548.66159375
transcript.pyannote[1037].speaker SPEAKER_14
transcript.pyannote[1037].start 6549.04971875
transcript.pyannote[1037].end 6551.05784375
transcript.pyannote[1038].speaker SPEAKER_14
transcript.pyannote[1038].start 6551.66534375
transcript.pyannote[1038].end 6560.00159375
transcript.pyannote[1039].speaker SPEAKER_31
transcript.pyannote[1039].start 6559.96784375
transcript.pyannote[1039].end 6560.25471875
transcript.pyannote[1040].speaker SPEAKER_14
transcript.pyannote[1040].start 6560.84534375
transcript.pyannote[1040].end 6566.75159375
transcript.pyannote[1041].speaker SPEAKER_14
transcript.pyannote[1041].start 6567.19034375
transcript.pyannote[1041].end 6575.30721875
transcript.pyannote[1042].speaker SPEAKER_14
transcript.pyannote[1042].start 6575.54346875
transcript.pyannote[1042].end 6576.21846875
transcript.pyannote[1043].speaker SPEAKER_14
transcript.pyannote[1043].start 6576.58971875
transcript.pyannote[1043].end 6578.51346875
transcript.pyannote[1044].speaker SPEAKER_14
transcript.pyannote[1044].start 6579.03659375
transcript.pyannote[1044].end 6580.21784375
transcript.pyannote[1045].speaker SPEAKER_14
transcript.pyannote[1045].start 6580.60596875
transcript.pyannote[1045].end 6580.87596875
transcript.pyannote[1046].speaker SPEAKER_14
transcript.pyannote[1046].start 6581.23034375
transcript.pyannote[1046].end 6585.28034375
transcript.pyannote[1047].speaker SPEAKER_14
transcript.pyannote[1047].start 6586.15784375
transcript.pyannote[1047].end 6587.50784375
transcript.pyannote[1048].speaker SPEAKER_14
transcript.pyannote[1048].start 6587.98034375
transcript.pyannote[1048].end 6590.46096875
transcript.pyannote[1049].speaker SPEAKER_14
transcript.pyannote[1049].start 6590.71409375
transcript.pyannote[1049].end 6592.73909375
transcript.pyannote[1050].speaker SPEAKER_14
transcript.pyannote[1050].start 6593.17784375
transcript.pyannote[1050].end 6594.24096875
transcript.pyannote[1051].speaker SPEAKER_14
transcript.pyannote[1051].start 6594.67971875
transcript.pyannote[1051].end 6597.02534375
transcript.pyannote[1052].speaker SPEAKER_14
transcript.pyannote[1052].start 6597.85221875
transcript.pyannote[1052].end 6598.49346875
transcript.pyannote[1053].speaker SPEAKER_14
transcript.pyannote[1053].start 6598.74659375
transcript.pyannote[1053].end 6600.34971875
transcript.pyannote[1054].speaker SPEAKER_14
transcript.pyannote[1054].start 6600.48471875
transcript.pyannote[1054].end 6601.66596875
transcript.pyannote[1055].speaker SPEAKER_14
transcript.pyannote[1055].start 6601.86846875
transcript.pyannote[1055].end 6603.50534375
transcript.pyannote[1056].speaker SPEAKER_14
transcript.pyannote[1056].start 6603.80909375
transcript.pyannote[1056].end 6604.51784375
transcript.pyannote[1057].speaker SPEAKER_14
transcript.pyannote[1057].start 6604.95659375
transcript.pyannote[1057].end 6609.34409375
transcript.pyannote[1058].speaker SPEAKER_14
transcript.pyannote[1058].start 6609.63096875
transcript.pyannote[1058].end 6613.74846875
transcript.pyannote[1059].speaker SPEAKER_14
transcript.pyannote[1059].start 6614.22096875
transcript.pyannote[1059].end 6615.63846875
transcript.pyannote[1060].speaker SPEAKER_14
transcript.pyannote[1060].start 6616.07721875
transcript.pyannote[1060].end 6622.18596875
transcript.pyannote[1061].speaker SPEAKER_14
transcript.pyannote[1061].start 6622.55721875
transcript.pyannote[1061].end 6630.50534375
transcript.pyannote[1062].speaker SPEAKER_14
transcript.pyannote[1062].start 6630.58971875
transcript.pyannote[1062].end 6631.78784375
transcript.pyannote[1063].speaker SPEAKER_14
transcript.pyannote[1063].start 6632.31096875
transcript.pyannote[1063].end 6636.98534375
transcript.pyannote[1064].speaker SPEAKER_30
transcript.pyannote[1064].start 6637.27221875
transcript.pyannote[1064].end 6698.05596875
transcript.pyannote[1065].speaker SPEAKER_14
transcript.pyannote[1065].start 6638.55471875
transcript.pyannote[1065].end 6638.94284375
transcript.pyannote[1066].speaker SPEAKER_14
transcript.pyannote[1066].start 6697.75221875
transcript.pyannote[1066].end 6701.29596875
transcript.pyannote[1067].speaker SPEAKER_14
transcript.pyannote[1067].start 6701.54909375
transcript.pyannote[1067].end 6702.93284375
transcript.pyannote[1068].speaker SPEAKER_30
transcript.pyannote[1068].start 6703.11846875
transcript.pyannote[1068].end 6703.13534375
transcript.pyannote[1069].speaker SPEAKER_35
transcript.pyannote[1069].start 6703.13534375
transcript.pyannote[1069].end 6703.54034375
transcript.pyannote[1070].speaker SPEAKER_14
transcript.pyannote[1070].start 6703.79346875
transcript.pyannote[1070].end 6708.72096875
transcript.pyannote[1071].speaker SPEAKER_14
transcript.pyannote[1071].start 6709.19346875
transcript.pyannote[1071].end 6711.97784375
transcript.pyannote[1072].speaker SPEAKER_13
transcript.pyannote[1072].start 6711.94409375
transcript.pyannote[1072].end 6712.29846875
transcript.pyannote[1073].speaker SPEAKER_14
transcript.pyannote[1073].start 6712.26471875
transcript.pyannote[1073].end 6716.41596875
transcript.pyannote[1074].speaker SPEAKER_31
transcript.pyannote[1074].start 6712.29846875
transcript.pyannote[1074].end 6712.33221875
transcript.pyannote[1075].speaker SPEAKER_14
transcript.pyannote[1075].start 6716.87159375
transcript.pyannote[1075].end 6718.79534375
transcript.pyannote[1076].speaker SPEAKER_14
transcript.pyannote[1076].start 6719.09909375
transcript.pyannote[1076].end 6722.15346875
transcript.pyannote[1077].speaker SPEAKER_14
transcript.pyannote[1077].start 6722.28846875
transcript.pyannote[1077].end 6724.92096875
transcript.pyannote[1078].speaker SPEAKER_14
transcript.pyannote[1078].start 6725.22471875
transcript.pyannote[1078].end 6726.50721875
transcript.pyannote[1079].speaker SPEAKER_14
transcript.pyannote[1079].start 6726.60846875
transcript.pyannote[1079].end 6727.72221875
transcript.pyannote[1080].speaker SPEAKER_14
transcript.pyannote[1080].start 6729.32534375
transcript.pyannote[1080].end 6736.64909375
transcript.pyannote[1081].speaker SPEAKER_14
transcript.pyannote[1081].start 6736.98659375
transcript.pyannote[1081].end 6740.47971875
transcript.pyannote[1082].speaker SPEAKER_14
transcript.pyannote[1082].start 6741.07034375
transcript.pyannote[1082].end 6745.66034375
transcript.pyannote[1083].speaker SPEAKER_30
transcript.pyannote[1083].start 6745.99784375
transcript.pyannote[1083].end 6763.86846875
transcript.pyannote[1084].speaker SPEAKER_00
transcript.pyannote[1084].start 6754.80659375
transcript.pyannote[1084].end 6754.82346875
transcript.pyannote[1085].speaker SPEAKER_14
transcript.pyannote[1085].start 6754.82346875
transcript.pyannote[1085].end 6754.97534375
transcript.pyannote[1086].speaker SPEAKER_00
transcript.pyannote[1086].start 6754.97534375
transcript.pyannote[1086].end 6755.07659375
transcript.pyannote[1087].speaker SPEAKER_14
transcript.pyannote[1087].start 6755.07659375
transcript.pyannote[1087].end 6756.19034375
transcript.pyannote[1088].speaker SPEAKER_14
transcript.pyannote[1088].start 6761.08409375
transcript.pyannote[1088].end 6764.88096875
transcript.pyannote[1089].speaker SPEAKER_30
transcript.pyannote[1089].start 6764.50971875
transcript.pyannote[1089].end 6768.89721875
transcript.pyannote[1090].speaker SPEAKER_14
transcript.pyannote[1090].start 6765.65721875
transcript.pyannote[1090].end 6766.07909375
transcript.pyannote[1091].speaker SPEAKER_14
transcript.pyannote[1091].start 6768.49221875
transcript.pyannote[1091].end 6770.23034375
transcript.pyannote[1092].speaker SPEAKER_30
transcript.pyannote[1092].start 6770.28096875
transcript.pyannote[1092].end 6784.70909375
transcript.pyannote[1093].speaker SPEAKER_14
transcript.pyannote[1093].start 6783.64596875
transcript.pyannote[1093].end 6785.99159375
transcript.pyannote[1094].speaker SPEAKER_30
transcript.pyannote[1094].start 6786.05909375
transcript.pyannote[1094].end 6788.79284375
transcript.pyannote[1095].speaker SPEAKER_14
transcript.pyannote[1095].start 6787.13909375
transcript.pyannote[1095].end 6794.42909375
transcript.pyannote[1096].speaker SPEAKER_30
transcript.pyannote[1096].start 6794.37846875
transcript.pyannote[1096].end 6796.74096875
transcript.pyannote[1097].speaker SPEAKER_14
transcript.pyannote[1097].start 6796.03221875
transcript.pyannote[1097].end 6797.53409375
transcript.pyannote[1098].speaker SPEAKER_30
transcript.pyannote[1098].start 6796.79159375
transcript.pyannote[1098].end 6801.36471875
transcript.pyannote[1099].speaker SPEAKER_14
transcript.pyannote[1099].start 6798.52971875
transcript.pyannote[1099].end 6798.86721875
transcript.pyannote[1100].speaker SPEAKER_14
transcript.pyannote[1100].start 6800.26784375
transcript.pyannote[1100].end 6802.78221875
transcript.pyannote[1101].speaker SPEAKER_14
transcript.pyannote[1101].start 6802.83284375
transcript.pyannote[1101].end 6809.54909375
transcript.pyannote[1102].speaker SPEAKER_14
transcript.pyannote[1102].start 6810.20721875
transcript.pyannote[1102].end 6813.70034375
transcript.pyannote[1103].speaker SPEAKER_14
transcript.pyannote[1103].start 6813.78471875
transcript.pyannote[1103].end 6826.25534375
transcript.pyannote[1104].speaker SPEAKER_31
transcript.pyannote[1104].start 6822.08721875
transcript.pyannote[1104].end 6822.40784375
transcript.pyannote[1105].speaker SPEAKER_14
transcript.pyannote[1105].start 6826.45784375
transcript.pyannote[1105].end 6829.57971875
transcript.pyannote[1106].speaker SPEAKER_14
transcript.pyannote[1106].start 6830.10284375
transcript.pyannote[1106].end 6831.79034375
transcript.pyannote[1107].speaker SPEAKER_14
transcript.pyannote[1107].start 6832.19534375
transcript.pyannote[1107].end 6834.77721875
transcript.pyannote[1108].speaker SPEAKER_14
transcript.pyannote[1108].start 6835.43534375
transcript.pyannote[1108].end 6835.67159375
transcript.pyannote[1109].speaker SPEAKER_14
transcript.pyannote[1109].start 6837.27471875
transcript.pyannote[1109].end 6838.33784375
transcript.pyannote[1110].speaker SPEAKER_06
transcript.pyannote[1110].start 6838.33784375
transcript.pyannote[1110].end 6838.59096875
transcript.pyannote[1111].speaker SPEAKER_14
transcript.pyannote[1111].start 6838.59096875
transcript.pyannote[1111].end 6841.17284375
transcript.pyannote[1112].speaker SPEAKER_30
transcript.pyannote[1112].start 6839.77221875
transcript.pyannote[1112].end 6842.60721875
transcript.pyannote[1113].speaker SPEAKER_14
transcript.pyannote[1113].start 6842.84346875
transcript.pyannote[1113].end 6844.31159375
transcript.pyannote[1114].speaker SPEAKER_30
transcript.pyannote[1114].start 6843.14721875
transcript.pyannote[1114].end 6848.53034375
transcript.pyannote[1115].speaker SPEAKER_14
transcript.pyannote[1115].start 6846.96096875
transcript.pyannote[1115].end 6847.24784375
transcript.pyannote[1116].speaker SPEAKER_14
transcript.pyannote[1116].start 6848.19284375
transcript.pyannote[1116].end 6860.68034375
transcript.pyannote[1117].speaker SPEAKER_30
transcript.pyannote[1117].start 6855.53346875
transcript.pyannote[1117].end 6855.92159375
transcript.pyannote[1118].speaker SPEAKER_00
transcript.pyannote[1118].start 6855.92159375
transcript.pyannote[1118].end 6856.05659375
transcript.pyannote[1119].speaker SPEAKER_14
transcript.pyannote[1119].start 6861.45659375
transcript.pyannote[1119].end 6869.11784375
transcript.pyannote[1120].speaker SPEAKER_31
transcript.pyannote[1120].start 6864.07221875
transcript.pyannote[1120].end 6864.54471875
transcript.pyannote[1121].speaker SPEAKER_31
transcript.pyannote[1121].start 6867.17721875
transcript.pyannote[1121].end 6867.80159375
transcript.pyannote[1122].speaker SPEAKER_14
transcript.pyannote[1122].start 6869.35409375
transcript.pyannote[1122].end 6871.26096875
transcript.pyannote[1123].speaker SPEAKER_14
transcript.pyannote[1123].start 6871.59846875
transcript.pyannote[1123].end 6873.84284375
transcript.pyannote[1124].speaker SPEAKER_14
transcript.pyannote[1124].start 6874.33221875
transcript.pyannote[1124].end 6884.42346875
transcript.pyannote[1125].speaker SPEAKER_14
transcript.pyannote[1125].start 6885.28409375
transcript.pyannote[1125].end 6893.50221875
transcript.pyannote[1126].speaker SPEAKER_14
transcript.pyannote[1126].start 6894.22784375
transcript.pyannote[1126].end 6897.50159375
transcript.pyannote[1127].speaker SPEAKER_14
transcript.pyannote[1127].start 6897.80534375
transcript.pyannote[1127].end 6898.05846875
transcript.pyannote[1128].speaker SPEAKER_17
transcript.pyannote[1128].start 6898.05846875
transcript.pyannote[1128].end 6898.07534375
transcript.pyannote[1129].speaker SPEAKER_14
transcript.pyannote[1129].start 6898.64909375
transcript.pyannote[1129].end 6899.30721875
transcript.pyannote[1130].speaker SPEAKER_14
transcript.pyannote[1130].start 6899.81346875
transcript.pyannote[1130].end 6901.34909375
transcript.pyannote[1131].speaker SPEAKER_14
transcript.pyannote[1131].start 6902.15909375
transcript.pyannote[1131].end 6905.82096875
transcript.pyannote[1132].speaker SPEAKER_14
transcript.pyannote[1132].start 6906.34409375
transcript.pyannote[1132].end 6914.66346875
transcript.pyannote[1133].speaker SPEAKER_14
transcript.pyannote[1133].start 6915.03471875
transcript.pyannote[1133].end 6924.24846875
transcript.pyannote[1134].speaker SPEAKER_14
transcript.pyannote[1134].start 6924.63659375
transcript.pyannote[1134].end 6928.55159375
transcript.pyannote[1135].speaker SPEAKER_14
transcript.pyannote[1135].start 6929.10846875
transcript.pyannote[1135].end 6937.34346875
transcript.pyannote[1136].speaker SPEAKER_14
transcript.pyannote[1136].start 6937.76534375
transcript.pyannote[1136].end 6938.99721875
transcript.pyannote[1137].speaker SPEAKER_30
transcript.pyannote[1137].start 6938.03534375
transcript.pyannote[1137].end 6938.27159375
transcript.pyannote[1138].speaker SPEAKER_30
transcript.pyannote[1138].start 6939.36846875
transcript.pyannote[1138].end 6965.65971875
transcript.pyannote[1139].speaker SPEAKER_14
transcript.pyannote[1139].start 6965.81159375
transcript.pyannote[1139].end 6967.60034375
transcript.pyannote[1140].speaker SPEAKER_30
transcript.pyannote[1140].start 6967.60034375
transcript.pyannote[1140].end 6973.16909375
transcript.pyannote[1141].speaker SPEAKER_14
transcript.pyannote[1141].start 6971.61659375
transcript.pyannote[1141].end 6972.46034375
transcript.pyannote[1142].speaker SPEAKER_14
transcript.pyannote[1142].start 6973.47284375
transcript.pyannote[1142].end 6978.21471875
transcript.pyannote[1143].speaker SPEAKER_30
transcript.pyannote[1143].start 6974.89034375
transcript.pyannote[1143].end 6976.88159375
transcript.pyannote[1144].speaker SPEAKER_30
transcript.pyannote[1144].start 6979.24409375
transcript.pyannote[1144].end 6982.61909375
transcript.pyannote[1145].speaker SPEAKER_14
transcript.pyannote[1145].start 6981.33659375
transcript.pyannote[1145].end 6981.77534375
transcript.pyannote[1146].speaker SPEAKER_14
transcript.pyannote[1146].start 6982.21409375
transcript.pyannote[1146].end 6988.67721875
transcript.pyannote[1147].speaker SPEAKER_14
transcript.pyannote[1147].start 6989.41971875
transcript.pyannote[1147].end 6994.75221875
transcript.pyannote[1148].speaker SPEAKER_14
transcript.pyannote[1148].start 6995.10659375
transcript.pyannote[1148].end 6999.74721875
transcript.pyannote[1149].speaker SPEAKER_14
transcript.pyannote[1149].start 7000.08471875
transcript.pyannote[1149].end 7001.08034375
transcript.pyannote[1150].speaker SPEAKER_14
transcript.pyannote[1150].start 7001.56971875
transcript.pyannote[1150].end 7004.08409375
transcript.pyannote[1151].speaker SPEAKER_14
transcript.pyannote[1151].start 7004.25284375
transcript.pyannote[1151].end 7005.48471875
transcript.pyannote[1152].speaker SPEAKER_14
transcript.pyannote[1152].start 7006.07534375
transcript.pyannote[1152].end 7010.05784375
transcript.pyannote[1153].speaker SPEAKER_14
transcript.pyannote[1153].start 7010.78346875
transcript.pyannote[1153].end 7015.10346875
transcript.pyannote[1154].speaker SPEAKER_14
transcript.pyannote[1154].start 7015.32284375
transcript.pyannote[1154].end 7023.35534375
transcript.pyannote[1155].speaker SPEAKER_14
transcript.pyannote[1155].start 7023.67596875
transcript.pyannote[1155].end 7033.09221875
transcript.pyannote[1156].speaker SPEAKER_14
transcript.pyannote[1156].start 7033.42971875
transcript.pyannote[1156].end 7037.27721875
transcript.pyannote[1157].speaker SPEAKER_14
transcript.pyannote[1157].start 7037.73284375
transcript.pyannote[1157].end 7048.85346875
transcript.pyannote[1158].speaker SPEAKER_14
transcript.pyannote[1158].start 7049.15721875
transcript.pyannote[1158].end 7049.78159375
transcript.pyannote[1159].speaker SPEAKER_14
transcript.pyannote[1159].start 7050.25409375
transcript.pyannote[1159].end 7050.94596875
transcript.pyannote[1160].speaker SPEAKER_14
transcript.pyannote[1160].start 7051.13159375
transcript.pyannote[1160].end 7051.75596875
transcript.pyannote[1161].speaker SPEAKER_14
transcript.pyannote[1161].start 7052.29596875
transcript.pyannote[1161].end 7053.76409375
transcript.pyannote[1162].speaker SPEAKER_14
transcript.pyannote[1162].start 7054.10159375
transcript.pyannote[1162].end 7056.93659375
transcript.pyannote[1163].speaker SPEAKER_14
transcript.pyannote[1163].start 7057.22346875
transcript.pyannote[1163].end 7057.86471875
transcript.pyannote[1164].speaker SPEAKER_14
transcript.pyannote[1164].start 7058.28659375
transcript.pyannote[1164].end 7058.96159375
transcript.pyannote[1165].speaker SPEAKER_14
transcript.pyannote[1165].start 7059.43409375
transcript.pyannote[1165].end 7062.48846875
transcript.pyannote[1166].speaker SPEAKER_14
transcript.pyannote[1166].start 7063.24784375
transcript.pyannote[1166].end 7064.46284375
transcript.pyannote[1167].speaker SPEAKER_30
transcript.pyannote[1167].start 7064.93534375
transcript.pyannote[1167].end 7091.59784375
transcript.pyannote[1168].speaker SPEAKER_29
transcript.pyannote[1168].start 7073.44034375
transcript.pyannote[1168].end 7074.26721875
transcript.pyannote[1169].speaker SPEAKER_14
transcript.pyannote[1169].start 7089.04971875
transcript.pyannote[1169].end 7116.28596875
transcript.pyannote[1170].speaker SPEAKER_26
transcript.pyannote[1170].start 7114.42971875
transcript.pyannote[1170].end 7114.81784375
transcript.pyannote[1171].speaker SPEAKER_26
transcript.pyannote[1171].start 7115.03721875
transcript.pyannote[1171].end 7115.32409375
transcript.pyannote[1172].speaker SPEAKER_26
transcript.pyannote[1172].start 7116.67409375
transcript.pyannote[1172].end 7120.52159375
transcript.pyannote[1173].speaker SPEAKER_26
transcript.pyannote[1173].start 7125.73596875
transcript.pyannote[1173].end 7136.16471875
transcript.pyannote[1174].speaker SPEAKER_00
transcript.pyannote[1174].start 7132.73909375
transcript.pyannote[1174].end 7132.95846875
transcript.pyannote[1175].speaker SPEAKER_31
transcript.pyannote[1175].start 7132.95846875
transcript.pyannote[1175].end 7132.97534375
transcript.pyannote[1176].speaker SPEAKER_00
transcript.pyannote[1176].start 7132.97534375
transcript.pyannote[1176].end 7133.02596875
transcript.pyannote[1177].speaker SPEAKER_31
transcript.pyannote[1177].start 7133.02596875
transcript.pyannote[1177].end 7133.32971875
transcript.pyannote[1178].speaker SPEAKER_00
transcript.pyannote[1178].start 7133.32971875
transcript.pyannote[1178].end 7133.44784375
transcript.pyannote[1179].speaker SPEAKER_26
transcript.pyannote[1179].start 7140.19784375
transcript.pyannote[1179].end 7141.02471875
transcript.pyannote[1180].speaker SPEAKER_22
transcript.pyannote[1180].start 7141.02471875
transcript.pyannote[1180].end 7141.83471875
transcript.pyannote[1181].speaker SPEAKER_26
transcript.pyannote[1181].start 7141.83471875
transcript.pyannote[1181].end 7141.85159375
transcript.pyannote[1182].speaker SPEAKER_22
transcript.pyannote[1182].start 7142.45909375
transcript.pyannote[1182].end 7143.23534375
transcript.pyannote[1183].speaker SPEAKER_26
transcript.pyannote[1183].start 7142.57721875
transcript.pyannote[1183].end 7142.59409375
transcript.pyannote[1184].speaker SPEAKER_31
transcript.pyannote[1184].start 7142.59409375
transcript.pyannote[1184].end 7142.96534375
transcript.pyannote[1185].speaker SPEAKER_15
transcript.pyannote[1185].start 7142.96534375
transcript.pyannote[1185].end 7143.16784375
transcript.pyannote[1186].speaker SPEAKER_22
transcript.pyannote[1186].start 7143.77534375
transcript.pyannote[1186].end 7149.27659375
transcript.pyannote[1187].speaker SPEAKER_31
transcript.pyannote[1187].start 7149.27659375
transcript.pyannote[1187].end 7149.56346875
transcript.pyannote[1188].speaker SPEAKER_22
transcript.pyannote[1188].start 7149.56346875
transcript.pyannote[1188].end 7162.38846875
transcript.pyannote[1189].speaker SPEAKER_22
transcript.pyannote[1189].start 7162.74284375
transcript.pyannote[1189].end 7169.64471875
transcript.pyannote[1190].speaker SPEAKER_22
transcript.pyannote[1190].start 7170.13409375
transcript.pyannote[1190].end 7171.04534375
transcript.pyannote[1191].speaker SPEAKER_22
transcript.pyannote[1191].start 7171.51784375
transcript.pyannote[1191].end 7176.39471875
transcript.pyannote[1192].speaker SPEAKER_22
transcript.pyannote[1192].start 7176.42846875
transcript.pyannote[1192].end 7188.71346875
transcript.pyannote[1193].speaker SPEAKER_22
transcript.pyannote[1193].start 7188.86534375
transcript.pyannote[1193].end 7191.19409375
transcript.pyannote[1194].speaker SPEAKER_22
transcript.pyannote[1194].start 7191.39659375
transcript.pyannote[1194].end 7197.87659375
transcript.pyannote[1195].speaker SPEAKER_22
transcript.pyannote[1195].start 7197.96096875
transcript.pyannote[1195].end 7199.51346875
transcript.pyannote[1196].speaker SPEAKER_22
transcript.pyannote[1196].start 7200.30659375
transcript.pyannote[1196].end 7206.98909375
transcript.pyannote[1197].speaker SPEAKER_31
transcript.pyannote[1197].start 7204.15409375
transcript.pyannote[1197].end 7206.16221875
transcript.pyannote[1198].speaker SPEAKER_31
transcript.pyannote[1198].start 7206.98909375
transcript.pyannote[1198].end 7207.93409375
transcript.pyannote[1199].speaker SPEAKER_22
transcript.pyannote[1199].start 7207.27596875
transcript.pyannote[1199].end 7208.62596875
transcript.pyannote[1200].speaker SPEAKER_31
transcript.pyannote[1200].start 7208.32221875
transcript.pyannote[1200].end 7209.14909375
transcript.pyannote[1201].speaker SPEAKER_22
transcript.pyannote[1201].start 7209.13221875
transcript.pyannote[1201].end 7220.91096875
transcript.pyannote[1202].speaker SPEAKER_22
transcript.pyannote[1202].start 7221.14721875
transcript.pyannote[1202].end 7229.48346875
transcript.pyannote[1203].speaker SPEAKER_15
transcript.pyannote[1203].start 7222.15971875
transcript.pyannote[1203].end 7223.96534375
transcript.pyannote[1204].speaker SPEAKER_11
transcript.pyannote[1204].start 7223.96534375
transcript.pyannote[1204].end 7224.28596875
transcript.pyannote[1205].speaker SPEAKER_00
transcript.pyannote[1205].start 7224.28596875
transcript.pyannote[1205].end 7224.40409375
transcript.pyannote[1206].speaker SPEAKER_31
transcript.pyannote[1206].start 7225.24784375
transcript.pyannote[1206].end 7225.26471875
transcript.pyannote[1207].speaker SPEAKER_11
transcript.pyannote[1207].start 7225.26471875
transcript.pyannote[1207].end 7225.90596875
transcript.pyannote[1208].speaker SPEAKER_22
transcript.pyannote[1208].start 7229.82096875
transcript.pyannote[1208].end 7231.32284375
transcript.pyannote[1209].speaker SPEAKER_15
transcript.pyannote[1209].start 7229.87159375
transcript.pyannote[1209].end 7229.95596875
transcript.pyannote[1210].speaker SPEAKER_11
transcript.pyannote[1210].start 7229.95596875
transcript.pyannote[1210].end 7230.02346875
transcript.pyannote[1211].speaker SPEAKER_15
transcript.pyannote[1211].start 7230.02346875
transcript.pyannote[1211].end 7230.10784375
transcript.pyannote[1212].speaker SPEAKER_11
transcript.pyannote[1212].start 7230.10784375
transcript.pyannote[1212].end 7230.12471875
transcript.pyannote[1213].speaker SPEAKER_22
transcript.pyannote[1213].start 7231.99784375
transcript.pyannote[1213].end 7232.97659375
transcript.pyannote[1214].speaker SPEAKER_15
transcript.pyannote[1214].start 7232.18346875
transcript.pyannote[1214].end 7232.57159375
transcript.pyannote[1215].speaker SPEAKER_15
transcript.pyannote[1215].start 7232.97659375
transcript.pyannote[1215].end 7233.02721875
transcript.pyannote[1216].speaker SPEAKER_22
transcript.pyannote[1216].start 7233.02721875
transcript.pyannote[1216].end 7233.97221875
transcript.pyannote[1217].speaker SPEAKER_15
transcript.pyannote[1217].start 7233.97221875
transcript.pyannote[1217].end 7234.02284375
transcript.pyannote[1218].speaker SPEAKER_22
transcript.pyannote[1218].start 7234.02284375
transcript.pyannote[1218].end 7234.96784375
transcript.pyannote[1219].speaker SPEAKER_15
transcript.pyannote[1219].start 7234.96784375
transcript.pyannote[1219].end 7235.03534375
transcript.pyannote[1220].speaker SPEAKER_22
transcript.pyannote[1220].start 7235.03534375
transcript.pyannote[1220].end 7235.96346875
transcript.pyannote[1221].speaker SPEAKER_15
transcript.pyannote[1221].start 7235.96346875
transcript.pyannote[1221].end 7236.03096875
transcript.pyannote[1222].speaker SPEAKER_22
transcript.pyannote[1222].start 7236.03096875
transcript.pyannote[1222].end 7236.97596875
transcript.pyannote[1223].speaker SPEAKER_15
transcript.pyannote[1223].start 7236.97596875
transcript.pyannote[1223].end 7237.02659375
transcript.pyannote[1224].speaker SPEAKER_22
transcript.pyannote[1224].start 7237.02659375
transcript.pyannote[1224].end 7240.99221875
transcript.pyannote[1225].speaker SPEAKER_31
transcript.pyannote[1225].start 7240.60409375
transcript.pyannote[1225].end 7241.29596875
transcript.pyannote[1226].speaker SPEAKER_22
transcript.pyannote[1226].start 7241.09346875
transcript.pyannote[1226].end 7246.81409375
transcript.pyannote[1227].speaker SPEAKER_15
transcript.pyannote[1227].start 7241.29596875
transcript.pyannote[1227].end 7241.32971875
transcript.pyannote[1228].speaker SPEAKER_22
transcript.pyannote[1228].start 7247.45534375
transcript.pyannote[1228].end 7260.97221875
transcript.pyannote[1229].speaker SPEAKER_31
transcript.pyannote[1229].start 7260.97221875
transcript.pyannote[1229].end 7261.00596875
transcript.pyannote[1230].speaker SPEAKER_22
transcript.pyannote[1230].start 7261.00596875
transcript.pyannote[1230].end 7263.30096875
transcript.pyannote[1231].speaker SPEAKER_31
transcript.pyannote[1231].start 7261.03971875
transcript.pyannote[1231].end 7261.14096875
transcript.pyannote[1232].speaker SPEAKER_22
transcript.pyannote[1232].start 7263.77346875
transcript.pyannote[1232].end 7267.53659375
transcript.pyannote[1233].speaker SPEAKER_22
transcript.pyannote[1233].start 7268.92034375
transcript.pyannote[1233].end 7270.03409375
transcript.pyannote[1234].speaker SPEAKER_22
transcript.pyannote[1234].start 7270.32096875
transcript.pyannote[1234].end 7274.13471875
transcript.pyannote[1235].speaker SPEAKER_22
transcript.pyannote[1235].start 7274.18534375
transcript.pyannote[1235].end 7282.58909375
transcript.pyannote[1236].speaker SPEAKER_22
transcript.pyannote[1236].start 7282.72409375
transcript.pyannote[1236].end 7285.01909375
transcript.pyannote[1237].speaker SPEAKER_22
transcript.pyannote[1237].start 7285.30596875
transcript.pyannote[1237].end 7288.95096875
transcript.pyannote[1238].speaker SPEAKER_22
transcript.pyannote[1238].start 7289.32221875
transcript.pyannote[1238].end 7289.67659375
transcript.pyannote[1239].speaker SPEAKER_22
transcript.pyannote[1239].start 7290.52034375
transcript.pyannote[1239].end 7295.76846875
transcript.pyannote[1240].speaker SPEAKER_22
transcript.pyannote[1240].start 7296.12284375
transcript.pyannote[1240].end 7300.84784375
transcript.pyannote[1241].speaker SPEAKER_22
transcript.pyannote[1241].start 7300.94909375
transcript.pyannote[1241].end 7301.45534375
transcript.pyannote[1242].speaker SPEAKER_22
transcript.pyannote[1242].start 7301.67471875
transcript.pyannote[1242].end 7306.66971875
transcript.pyannote[1243].speaker SPEAKER_22
transcript.pyannote[1243].start 7307.42909375
transcript.pyannote[1243].end 7310.85471875
transcript.pyannote[1244].speaker SPEAKER_22
transcript.pyannote[1244].start 7311.39471875
transcript.pyannote[1244].end 7318.06034375
transcript.pyannote[1245].speaker SPEAKER_22
transcript.pyannote[1245].start 7319.49471875
transcript.pyannote[1245].end 7320.11909375
transcript.pyannote[1246].speaker SPEAKER_22
transcript.pyannote[1246].start 7320.81096875
transcript.pyannote[1246].end 7322.14409375
transcript.pyannote[1247].speaker SPEAKER_22
transcript.pyannote[1247].start 7322.59971875
transcript.pyannote[1247].end 7325.23221875
transcript.pyannote[1248].speaker SPEAKER_22
transcript.pyannote[1248].start 7325.92409375
transcript.pyannote[1248].end 7328.53971875
transcript.pyannote[1249].speaker SPEAKER_22
transcript.pyannote[1249].start 7328.70846875
transcript.pyannote[1249].end 7329.73784375
transcript.pyannote[1250].speaker SPEAKER_22
transcript.pyannote[1250].start 7330.24409375
transcript.pyannote[1250].end 7333.14659375
transcript.pyannote[1251].speaker SPEAKER_22
transcript.pyannote[1251].start 7333.23096875
transcript.pyannote[1251].end 7335.74534375
transcript.pyannote[1252].speaker SPEAKER_15
transcript.pyannote[1252].start 7335.74534375
transcript.pyannote[1252].end 7335.76221875
transcript.pyannote[1253].speaker SPEAKER_22
transcript.pyannote[1253].start 7336.42034375
transcript.pyannote[1253].end 7336.97721875
transcript.pyannote[1254].speaker SPEAKER_15
transcript.pyannote[1254].start 7336.97721875
transcript.pyannote[1254].end 7339.37346875
transcript.pyannote[1255].speaker SPEAKER_15
transcript.pyannote[1255].start 7339.79534375
transcript.pyannote[1255].end 7340.94284375
transcript.pyannote[1256].speaker SPEAKER_15
transcript.pyannote[1256].start 7341.55034375
transcript.pyannote[1256].end 7343.44034375
transcript.pyannote[1257].speaker SPEAKER_15
transcript.pyannote[1257].start 7343.77784375
transcript.pyannote[1257].end 7344.87471875
transcript.pyannote[1258].speaker SPEAKER_15
transcript.pyannote[1258].start 7345.33034375
transcript.pyannote[1258].end 7346.59596875
transcript.pyannote[1259].speaker SPEAKER_15
transcript.pyannote[1259].start 7347.03471875
transcript.pyannote[1259].end 7349.02596875
transcript.pyannote[1260].speaker SPEAKER_15
transcript.pyannote[1260].start 7349.49846875
transcript.pyannote[1260].end 7352.58659375
transcript.pyannote[1261].speaker SPEAKER_15
transcript.pyannote[1261].start 7352.97471875
transcript.pyannote[1261].end 7356.77159375
transcript.pyannote[1262].speaker SPEAKER_15
transcript.pyannote[1262].start 7357.93596875
transcript.pyannote[1262].end 7362.03659375
transcript.pyannote[1263].speaker SPEAKER_22
transcript.pyannote[1263].start 7358.07096875
transcript.pyannote[1263].end 7358.50971875
transcript.pyannote[1264].speaker SPEAKER_22
transcript.pyannote[1264].start 7359.25221875
transcript.pyannote[1264].end 7359.58971875
transcript.pyannote[1265].speaker SPEAKER_22
transcript.pyannote[1265].start 7359.97784375
transcript.pyannote[1265].end 7361.36159375
transcript.pyannote[1266].speaker SPEAKER_22
transcript.pyannote[1266].start 7362.03659375
transcript.pyannote[1266].end 7371.18284375
transcript.pyannote[1267].speaker SPEAKER_15
transcript.pyannote[1267].start 7366.08659375
transcript.pyannote[1267].end 7367.58846875
transcript.pyannote[1268].speaker SPEAKER_15
transcript.pyannote[1268].start 7368.95534375
transcript.pyannote[1268].end 7378.23659375
transcript.pyannote[1269].speaker SPEAKER_15
transcript.pyannote[1269].start 7378.77659375
transcript.pyannote[1269].end 7387.97346875
transcript.pyannote[1270].speaker SPEAKER_32
transcript.pyannote[1270].start 7380.32909375
transcript.pyannote[1270].end 7381.03784375
transcript.pyannote[1271].speaker SPEAKER_22
transcript.pyannote[1271].start 7381.03784375
transcript.pyannote[1271].end 7382.18534375
transcript.pyannote[1272].speaker SPEAKER_22
transcript.pyannote[1272].start 7386.55596875
transcript.pyannote[1272].end 7396.47846875
transcript.pyannote[1273].speaker SPEAKER_15
transcript.pyannote[1273].start 7391.33159375
transcript.pyannote[1273].end 7392.32721875
transcript.pyannote[1274].speaker SPEAKER_15
transcript.pyannote[1274].start 7394.92596875
transcript.pyannote[1274].end 7412.27346875
transcript.pyannote[1275].speaker SPEAKER_04
transcript.pyannote[1275].start 7402.19909375
transcript.pyannote[1275].end 7403.24534375
transcript.pyannote[1276].speaker SPEAKER_04
transcript.pyannote[1276].start 7404.71346875
transcript.pyannote[1276].end 7406.06346875
transcript.pyannote[1277].speaker SPEAKER_04
transcript.pyannote[1277].start 7408.94909375
transcript.pyannote[1277].end 7408.99971875
transcript.pyannote[1278].speaker SPEAKER_22
transcript.pyannote[1278].start 7408.99971875
transcript.pyannote[1278].end 7409.01659375
transcript.pyannote[1279].speaker SPEAKER_04
transcript.pyannote[1279].start 7409.01659375
transcript.pyannote[1279].end 7409.75909375
transcript.pyannote[1280].speaker SPEAKER_22
transcript.pyannote[1280].start 7409.75909375
transcript.pyannote[1280].end 7413.97784375
transcript.pyannote[1281].speaker SPEAKER_15
transcript.pyannote[1281].start 7413.10034375
transcript.pyannote[1281].end 7432.97909375
transcript.pyannote[1282].speaker SPEAKER_22
transcript.pyannote[1282].start 7414.02846875
transcript.pyannote[1282].end 7414.29846875
transcript.pyannote[1283].speaker SPEAKER_22
transcript.pyannote[1283].start 7414.36596875
transcript.pyannote[1283].end 7414.38284375
transcript.pyannote[1284].speaker SPEAKER_22
transcript.pyannote[1284].start 7425.43596875
transcript.pyannote[1284].end 7428.30471875
transcript.pyannote[1285].speaker SPEAKER_22
transcript.pyannote[1285].start 7431.59534375
transcript.pyannote[1285].end 7432.94534375
transcript.pyannote[1286].speaker SPEAKER_15
transcript.pyannote[1286].start 7433.33346875
transcript.pyannote[1286].end 7434.97034375
transcript.pyannote[1287].speaker SPEAKER_22
transcript.pyannote[1287].start 7433.75534375
transcript.pyannote[1287].end 7436.43846875
transcript.pyannote[1288].speaker SPEAKER_03
transcript.pyannote[1288].start 7434.97034375
transcript.pyannote[1288].end 7435.64534375
transcript.pyannote[1289].speaker SPEAKER_15
transcript.pyannote[1289].start 7435.64534375
transcript.pyannote[1289].end 7435.81409375
transcript.pyannote[1290].speaker SPEAKER_03
transcript.pyannote[1290].start 7435.81409375
transcript.pyannote[1290].end 7436.10096875
transcript.pyannote[1291].speaker SPEAKER_15
transcript.pyannote[1291].start 7436.10096875
transcript.pyannote[1291].end 7436.13471875
transcript.pyannote[1292].speaker SPEAKER_22
transcript.pyannote[1292].start 7437.11346875
transcript.pyannote[1292].end 7438.37909375
transcript.pyannote[1293].speaker SPEAKER_22
transcript.pyannote[1293].start 7439.86409375
transcript.pyannote[1293].end 7440.52221875
transcript.pyannote[1294].speaker SPEAKER_26
transcript.pyannote[1294].start 7440.52221875
transcript.pyannote[1294].end 7440.57284375
transcript.pyannote[1295].speaker SPEAKER_22
transcript.pyannote[1295].start 7440.80909375
transcript.pyannote[1295].end 7440.97784375
transcript.pyannote[1296].speaker SPEAKER_26
transcript.pyannote[1296].start 7440.97784375
transcript.pyannote[1296].end 7441.07909375
transcript.pyannote[1297].speaker SPEAKER_26
transcript.pyannote[1297].start 7443.30659375
transcript.pyannote[1297].end 7447.12034375
transcript.pyannote[1298].speaker SPEAKER_08
transcript.pyannote[1298].start 7451.01846875
transcript.pyannote[1298].end 7451.47409375
transcript.pyannote[1299].speaker SPEAKER_08
transcript.pyannote[1299].start 7451.62596875
transcript.pyannote[1299].end 7451.64284375
transcript.pyannote[1300].speaker SPEAKER_22
transcript.pyannote[1300].start 7451.64284375
transcript.pyannote[1300].end 7451.87909375
transcript.pyannote[1301].speaker SPEAKER_22
transcript.pyannote[1301].start 7452.67221875
transcript.pyannote[1301].end 7453.48221875
transcript.pyannote[1302].speaker SPEAKER_22
transcript.pyannote[1302].start 7453.88721875
transcript.pyannote[1302].end 7456.03034375
transcript.pyannote[1303].speaker SPEAKER_22
transcript.pyannote[1303].start 7456.46909375
transcript.pyannote[1303].end 7458.52784375
transcript.pyannote[1304].speaker SPEAKER_22
transcript.pyannote[1304].start 7458.89909375
transcript.pyannote[1304].end 7460.33346875
transcript.pyannote[1305].speaker SPEAKER_08
transcript.pyannote[1305].start 7462.62846875
transcript.pyannote[1305].end 7468.29846875
transcript.pyannote[1306].speaker SPEAKER_22
transcript.pyannote[1306].start 7468.09596875
transcript.pyannote[1306].end 7471.84221875
transcript.pyannote[1307].speaker SPEAKER_08
transcript.pyannote[1307].start 7469.80034375
transcript.pyannote[1307].end 7469.95221875
transcript.pyannote[1308].speaker SPEAKER_08
transcript.pyannote[1308].start 7471.84221875
transcript.pyannote[1308].end 7472.98971875
transcript.pyannote[1309].speaker SPEAKER_22
transcript.pyannote[1309].start 7472.68596875
transcript.pyannote[1309].end 7475.43659375
transcript.pyannote[1310].speaker SPEAKER_08
transcript.pyannote[1310].start 7475.60534375
transcript.pyannote[1310].end 7480.48221875
transcript.pyannote[1311].speaker SPEAKER_22
transcript.pyannote[1311].start 7480.27971875
transcript.pyannote[1311].end 7480.97159375
transcript.pyannote[1312].speaker SPEAKER_08
transcript.pyannote[1312].start 7481.35971875
transcript.pyannote[1312].end 7483.89096875
transcript.pyannote[1313].speaker SPEAKER_08
transcript.pyannote[1313].start 7484.19471875
transcript.pyannote[1313].end 7485.98346875
transcript.pyannote[1314].speaker SPEAKER_22
transcript.pyannote[1314].start 7485.98346875
transcript.pyannote[1314].end 7486.70909375
transcript.pyannote[1315].speaker SPEAKER_08
transcript.pyannote[1315].start 7487.46846875
transcript.pyannote[1315].end 7492.73346875
transcript.pyannote[1316].speaker SPEAKER_22
transcript.pyannote[1316].start 7491.63659375
transcript.pyannote[1316].end 7494.40409375
transcript.pyannote[1317].speaker SPEAKER_08
transcript.pyannote[1317].start 7493.40846875
transcript.pyannote[1317].end 7493.52659375
transcript.pyannote[1318].speaker SPEAKER_08
transcript.pyannote[1318].start 7494.40409375
transcript.pyannote[1318].end 7496.36159375
transcript.pyannote[1319].speaker SPEAKER_22
transcript.pyannote[1319].start 7496.12534375
transcript.pyannote[1319].end 7500.66471875
transcript.pyannote[1320].speaker SPEAKER_15
transcript.pyannote[1320].start 7496.36159375
transcript.pyannote[1320].end 7496.37846875
transcript.pyannote[1321].speaker SPEAKER_15
transcript.pyannote[1321].start 7501.66034375
transcript.pyannote[1321].end 7512.81471875
transcript.pyannote[1322].speaker SPEAKER_22
transcript.pyannote[1322].start 7504.73159375
transcript.pyannote[1322].end 7505.84534375
transcript.pyannote[1323].speaker SPEAKER_22
transcript.pyannote[1323].start 7512.25784375
transcript.pyannote[1323].end 7512.98346875
transcript.pyannote[1324].speaker SPEAKER_15
transcript.pyannote[1324].start 7512.98346875
transcript.pyannote[1324].end 7513.01721875
transcript.pyannote[1325].speaker SPEAKER_22
transcript.pyannote[1325].start 7513.01721875
transcript.pyannote[1325].end 7513.08471875
transcript.pyannote[1326].speaker SPEAKER_15
transcript.pyannote[1326].start 7513.08471875
transcript.pyannote[1326].end 7513.11846875
transcript.pyannote[1327].speaker SPEAKER_22
transcript.pyannote[1327].start 7513.11846875
transcript.pyannote[1327].end 7513.15221875
transcript.pyannote[1328].speaker SPEAKER_15
transcript.pyannote[1328].start 7513.15221875
transcript.pyannote[1328].end 7513.35471875
transcript.pyannote[1329].speaker SPEAKER_22
transcript.pyannote[1329].start 7513.35471875
transcript.pyannote[1329].end 7518.97409375
transcript.pyannote[1330].speaker SPEAKER_15
transcript.pyannote[1330].start 7514.13096875
transcript.pyannote[1330].end 7517.48909375
transcript.pyannote[1331].speaker SPEAKER_15
transcript.pyannote[1331].start 7518.97409375
transcript.pyannote[1331].end 7530.55034375
transcript.pyannote[1332].speaker SPEAKER_22
transcript.pyannote[1332].start 7519.24409375
transcript.pyannote[1332].end 7519.46346875
transcript.pyannote[1333].speaker SPEAKER_22
transcript.pyannote[1333].start 7524.91409375
transcript.pyannote[1333].end 7526.19659375
transcript.pyannote[1334].speaker SPEAKER_22
transcript.pyannote[1334].start 7530.55034375
transcript.pyannote[1334].end 7535.37659375
transcript.pyannote[1335].speaker SPEAKER_15
transcript.pyannote[1335].start 7530.58409375
transcript.pyannote[1335].end 7531.25909375
transcript.pyannote[1336].speaker SPEAKER_22
transcript.pyannote[1336].start 7535.41034375
transcript.pyannote[1336].end 7538.21159375
transcript.pyannote[1337].speaker SPEAKER_22
transcript.pyannote[1337].start 7538.46471875
transcript.pyannote[1337].end 7538.75159375
transcript.pyannote[1338].speaker SPEAKER_22
transcript.pyannote[1338].start 7539.40971875
transcript.pyannote[1338].end 7542.26159375
transcript.pyannote[1339].speaker SPEAKER_22
transcript.pyannote[1339].start 7542.46409375
transcript.pyannote[1339].end 7542.68346875
transcript.pyannote[1340].speaker SPEAKER_22
transcript.pyannote[1340].start 7543.17284375
transcript.pyannote[1340].end 7544.60721875
transcript.pyannote[1341].speaker SPEAKER_22
transcript.pyannote[1341].start 7544.97846875
transcript.pyannote[1341].end 7551.01971875
transcript.pyannote[1342].speaker SPEAKER_00
transcript.pyannote[1342].start 7548.96096875
transcript.pyannote[1342].end 7548.99471875
transcript.pyannote[1343].speaker SPEAKER_25
transcript.pyannote[1343].start 7548.99471875
transcript.pyannote[1343].end 7549.97346875
transcript.pyannote[1344].speaker SPEAKER_00
transcript.pyannote[1344].start 7549.97346875
transcript.pyannote[1344].end 7550.10846875
transcript.pyannote[1345].speaker SPEAKER_22
transcript.pyannote[1345].start 7551.89721875
transcript.pyannote[1345].end 7575.62346875
transcript.pyannote[1346].speaker SPEAKER_31
transcript.pyannote[1346].start 7559.30534375
transcript.pyannote[1346].end 7562.76471875
transcript.pyannote[1347].speaker SPEAKER_26
transcript.pyannote[1347].start 7564.06409375
transcript.pyannote[1347].end 7564.72221875
transcript.pyannote[1348].speaker SPEAKER_26
transcript.pyannote[1348].start 7569.36284375
transcript.pyannote[1348].end 7570.59471875
transcript.pyannote[1349].speaker SPEAKER_26
transcript.pyannote[1349].start 7571.28659375
transcript.pyannote[1349].end 7575.20159375
transcript.pyannote[1350].speaker SPEAKER_22
transcript.pyannote[1350].start 7576.14659375
transcript.pyannote[1350].end 7577.09159375
transcript.pyannote[1351].speaker SPEAKER_22
transcript.pyannote[1351].start 7577.69909375
transcript.pyannote[1351].end 7580.85471875
transcript.pyannote[1352].speaker SPEAKER_22
transcript.pyannote[1352].start 7582.08659375
transcript.pyannote[1352].end 7583.53784375
transcript.pyannote[1353].speaker SPEAKER_22
transcript.pyannote[1353].start 7584.02721875
transcript.pyannote[1353].end 7586.59221875
transcript.pyannote[1354].speaker SPEAKER_04
transcript.pyannote[1354].start 7584.55034375
transcript.pyannote[1354].end 7585.02284375
transcript.pyannote[1355].speaker SPEAKER_03
transcript.pyannote[1355].start 7585.02284375
transcript.pyannote[1355].end 7586.35596875
transcript.pyannote[1356].speaker SPEAKER_22
transcript.pyannote[1356].start 7587.75659375
transcript.pyannote[1356].end 7588.17846875
transcript.pyannote[1357].speaker SPEAKER_22
transcript.pyannote[1357].start 7588.38096875
transcript.pyannote[1357].end 7596.90284375
transcript.pyannote[1358].speaker SPEAKER_03
transcript.pyannote[1358].start 7593.47721875
transcript.pyannote[1358].end 7594.06784375
transcript.pyannote[1359].speaker SPEAKER_31
transcript.pyannote[1359].start 7595.41784375
transcript.pyannote[1359].end 7595.56971875
transcript.pyannote[1360].speaker SPEAKER_22
transcript.pyannote[1360].start 7597.35846875
transcript.pyannote[1360].end 7611.33096875
transcript.pyannote[1361].speaker SPEAKER_22
transcript.pyannote[1361].start 7612.03971875
transcript.pyannote[1361].end 7616.17409375
transcript.pyannote[1362].speaker SPEAKER_22
transcript.pyannote[1362].start 7616.34284375
transcript.pyannote[1362].end 7621.30409375
transcript.pyannote[1363].speaker SPEAKER_22
transcript.pyannote[1363].start 7621.42221875
transcript.pyannote[1363].end 7621.43909375
transcript.pyannote[1364].speaker SPEAKER_30
transcript.pyannote[1364].start 7621.43909375
transcript.pyannote[1364].end 7627.88534375
transcript.pyannote[1365].speaker SPEAKER_22
transcript.pyannote[1365].start 7627.88534375
transcript.pyannote[1365].end 7632.13784375
transcript.pyannote[1366].speaker SPEAKER_30
transcript.pyannote[1366].start 7632.23909375
transcript.pyannote[1366].end 7642.31346875
transcript.pyannote[1367].speaker SPEAKER_22
transcript.pyannote[1367].start 7635.19221875
transcript.pyannote[1367].end 7636.67721875
transcript.pyannote[1368].speaker SPEAKER_22
transcript.pyannote[1368].start 7641.53721875
transcript.pyannote[1368].end 7643.81534375
transcript.pyannote[1369].speaker SPEAKER_30
transcript.pyannote[1369].start 7644.13596875
transcript.pyannote[1369].end 7645.92471875
transcript.pyannote[1370].speaker SPEAKER_22
transcript.pyannote[1370].start 7646.19471875
transcript.pyannote[1370].end 7650.27846875
transcript.pyannote[1371].speaker SPEAKER_30
transcript.pyannote[1371].start 7650.27846875
transcript.pyannote[1371].end 7656.87659375
transcript.pyannote[1372].speaker SPEAKER_30
transcript.pyannote[1372].start 7657.48409375
transcript.pyannote[1372].end 7658.15909375
transcript.pyannote[1373].speaker SPEAKER_22
transcript.pyannote[1373].start 7657.78784375
transcript.pyannote[1373].end 7661.29784375
transcript.pyannote[1374].speaker SPEAKER_22
transcript.pyannote[1374].start 7661.66909375
transcript.pyannote[1374].end 7670.00534375
transcript.pyannote[1375].speaker SPEAKER_30
transcript.pyannote[1375].start 7666.41096875
transcript.pyannote[1375].end 7666.93409375
transcript.pyannote[1376].speaker SPEAKER_30
transcript.pyannote[1376].start 7669.14471875
transcript.pyannote[1376].end 7669.21221875
transcript.pyannote[1377].speaker SPEAKER_30
transcript.pyannote[1377].start 7669.66784375
transcript.pyannote[1377].end 7670.03909375
transcript.pyannote[1378].speaker SPEAKER_22
transcript.pyannote[1378].start 7670.03909375
transcript.pyannote[1378].end 7670.15721875
transcript.pyannote[1379].speaker SPEAKER_30
transcript.pyannote[1379].start 7670.10659375
transcript.pyannote[1379].end 7670.24159375
transcript.pyannote[1380].speaker SPEAKER_22
transcript.pyannote[1380].start 7670.24159375
transcript.pyannote[1380].end 7671.60846875
transcript.pyannote[1381].speaker SPEAKER_30
transcript.pyannote[1381].start 7670.56221875
transcript.pyannote[1381].end 7671.62534375
transcript.pyannote[1382].speaker SPEAKER_22
transcript.pyannote[1382].start 7671.62534375
transcript.pyannote[1382].end 7673.29596875
transcript.pyannote[1383].speaker SPEAKER_30
transcript.pyannote[1383].start 7672.82346875
transcript.pyannote[1383].end 7686.03659375
transcript.pyannote[1384].speaker SPEAKER_22
transcript.pyannote[1384].start 7684.34909375
transcript.pyannote[1384].end 7684.46721875
transcript.pyannote[1385].speaker SPEAKER_32
transcript.pyannote[1385].start 7684.46721875
transcript.pyannote[1385].end 7684.97346875
transcript.pyannote[1386].speaker SPEAKER_22
transcript.pyannote[1386].start 7684.97346875
transcript.pyannote[1386].end 7684.99034375
transcript.pyannote[1387].speaker SPEAKER_22
transcript.pyannote[1387].start 7686.03659375
transcript.pyannote[1387].end 7690.06971875
transcript.pyannote[1388].speaker SPEAKER_30
transcript.pyannote[1388].start 7687.74096875
transcript.pyannote[1388].end 7691.18346875
transcript.pyannote[1389].speaker SPEAKER_22
transcript.pyannote[1389].start 7690.27221875
transcript.pyannote[1389].end 7698.87846875
transcript.pyannote[1390].speaker SPEAKER_30
transcript.pyannote[1390].start 7692.90471875
transcript.pyannote[1390].end 7693.14096875
transcript.pyannote[1391].speaker SPEAKER_30
transcript.pyannote[1391].start 7693.15784375
transcript.pyannote[1391].end 7693.34346875
transcript.pyannote[1392].speaker SPEAKER_30
transcript.pyannote[1392].start 7693.36034375
transcript.pyannote[1392].end 7693.37721875
transcript.pyannote[1393].speaker SPEAKER_30
transcript.pyannote[1393].start 7694.99721875
transcript.pyannote[1393].end 7695.04784375
transcript.pyannote[1394].speaker SPEAKER_31
transcript.pyannote[1394].start 7695.04784375
transcript.pyannote[1394].end 7697.03909375
transcript.pyannote[1395].speaker SPEAKER_31
transcript.pyannote[1395].start 7698.79409375
transcript.pyannote[1395].end 7699.77284375
transcript.pyannote[1396].speaker SPEAKER_22
transcript.pyannote[1396].start 7699.13159375
transcript.pyannote[1396].end 7699.73909375
transcript.pyannote[1397].speaker SPEAKER_22
transcript.pyannote[1397].start 7699.77284375
transcript.pyannote[1397].end 7718.06534375
transcript.pyannote[1398].speaker SPEAKER_31
transcript.pyannote[1398].start 7704.27846875
transcript.pyannote[1398].end 7704.88596875
transcript.pyannote[1399].speaker SPEAKER_30
transcript.pyannote[1399].start 7718.53784375
transcript.pyannote[1399].end 7731.83534375
transcript.pyannote[1400].speaker SPEAKER_22
transcript.pyannote[1400].start 7729.21971875
transcript.pyannote[1400].end 7746.63471875
transcript.pyannote[1401].speaker SPEAKER_22
transcript.pyannote[1401].start 7746.90471875
transcript.pyannote[1401].end 7752.06846875
transcript.pyannote[1402].speaker SPEAKER_22
transcript.pyannote[1402].start 7752.50721875
transcript.pyannote[1402].end 7756.81034375
transcript.pyannote[1403].speaker SPEAKER_22
transcript.pyannote[1403].start 7757.16471875
transcript.pyannote[1403].end 7758.44721875
transcript.pyannote[1404].speaker SPEAKER_30
transcript.pyannote[1404].start 7757.90721875
transcript.pyannote[1404].end 7758.64971875
transcript.pyannote[1405].speaker SPEAKER_22
transcript.pyannote[1405].start 7758.64971875
transcript.pyannote[1405].end 7758.97034375
transcript.pyannote[1406].speaker SPEAKER_30
transcript.pyannote[1406].start 7758.97034375
transcript.pyannote[1406].end 7759.30784375
transcript.pyannote[1407].speaker SPEAKER_22
transcript.pyannote[1407].start 7759.30784375
transcript.pyannote[1407].end 7759.32471875
transcript.pyannote[1408].speaker SPEAKER_22
transcript.pyannote[1408].start 7759.51034375
transcript.pyannote[1408].end 7759.52721875
transcript.pyannote[1409].speaker SPEAKER_30
transcript.pyannote[1409].start 7759.52721875
transcript.pyannote[1409].end 7764.79221875
transcript.pyannote[1410].speaker SPEAKER_30
transcript.pyannote[1410].start 7765.28159375
transcript.pyannote[1410].end 7769.31471875
transcript.pyannote[1411].speaker SPEAKER_22
transcript.pyannote[1411].start 7768.90971875
transcript.pyannote[1411].end 7781.58284375
transcript.pyannote[1412].speaker SPEAKER_22
transcript.pyannote[1412].start 7781.80221875
transcript.pyannote[1412].end 7787.69159375
transcript.pyannote[1413].speaker SPEAKER_22
transcript.pyannote[1413].start 7787.99534375
transcript.pyannote[1413].end 7790.50971875
transcript.pyannote[1414].speaker SPEAKER_22
transcript.pyannote[1414].start 7790.81346875
transcript.pyannote[1414].end 7791.48846875
transcript.pyannote[1415].speaker SPEAKER_30
transcript.pyannote[1415].start 7791.87659375
transcript.pyannote[1415].end 7794.35721875
transcript.pyannote[1416].speaker SPEAKER_22
transcript.pyannote[1416].start 7792.83846875
transcript.pyannote[1416].end 7793.27721875
transcript.pyannote[1417].speaker SPEAKER_22
transcript.pyannote[1417].start 7793.85096875
transcript.pyannote[1417].end 7798.05284375
transcript.pyannote[1418].speaker SPEAKER_30
transcript.pyannote[1418].start 7796.50034375
transcript.pyannote[1418].end 7796.88846875
transcript.pyannote[1419].speaker SPEAKER_30
transcript.pyannote[1419].start 7798.05284375
transcript.pyannote[1419].end 7808.12721875
transcript.pyannote[1420].speaker SPEAKER_22
transcript.pyannote[1420].start 7803.55409375
transcript.pyannote[1420].end 7804.76909375
transcript.pyannote[1421].speaker SPEAKER_22
transcript.pyannote[1421].start 7806.97971875
transcript.pyannote[1421].end 7813.81409375
transcript.pyannote[1422].speaker SPEAKER_30
transcript.pyannote[1422].start 7812.02534375
transcript.pyannote[1422].end 7812.31221875
transcript.pyannote[1423].speaker SPEAKER_30
transcript.pyannote[1423].start 7813.49346875
transcript.pyannote[1423].end 7814.05034375
transcript.pyannote[1424].speaker SPEAKER_22
transcript.pyannote[1424].start 7813.83096875
transcript.pyannote[1424].end 7815.95721875
transcript.pyannote[1425].speaker SPEAKER_30
transcript.pyannote[1425].start 7814.15159375
transcript.pyannote[1425].end 7818.31971875
transcript.pyannote[1426].speaker SPEAKER_26
transcript.pyannote[1426].start 7815.95721875
transcript.pyannote[1426].end 7816.02471875
transcript.pyannote[1427].speaker SPEAKER_22
transcript.pyannote[1427].start 7817.00346875
transcript.pyannote[1427].end 7817.03721875
transcript.pyannote[1428].speaker SPEAKER_26
transcript.pyannote[1428].start 7817.03721875
transcript.pyannote[1428].end 7818.30284375
transcript.pyannote[1429].speaker SPEAKER_26
transcript.pyannote[1429].start 7819.70346875
transcript.pyannote[1429].end 7823.41596875
transcript.pyannote[1430].speaker SPEAKER_20
transcript.pyannote[1430].start 7832.12346875
transcript.pyannote[1430].end 7834.03034375
transcript.pyannote[1431].speaker SPEAKER_26
transcript.pyannote[1431].start 7834.03034375
transcript.pyannote[1431].end 7834.60409375
transcript.pyannote[1432].speaker SPEAKER_26
transcript.pyannote[1432].start 7834.90784375
transcript.pyannote[1432].end 7835.81909375
transcript.pyannote[1433].speaker SPEAKER_26
transcript.pyannote[1433].start 7836.91596875
transcript.pyannote[1433].end 7838.14784375
transcript.pyannote[1434].speaker SPEAKER_26
transcript.pyannote[1434].start 7839.00846875
transcript.pyannote[1434].end 7839.70034375
transcript.pyannote[1435].speaker SPEAKER_26
transcript.pyannote[1435].start 7840.10534375
transcript.pyannote[1435].end 7841.33721875
transcript.pyannote[1436].speaker SPEAKER_20
transcript.pyannote[1436].start 7846.48409375
transcript.pyannote[1436].end 7847.76659375
transcript.pyannote[1437].speaker SPEAKER_20
transcript.pyannote[1437].start 7848.13784375
transcript.pyannote[1437].end 7850.26409375
transcript.pyannote[1438].speaker SPEAKER_20
transcript.pyannote[1438].start 7850.43284375
transcript.pyannote[1438].end 7854.66846875
transcript.pyannote[1439].speaker SPEAKER_20
transcript.pyannote[1439].start 7854.97221875
transcript.pyannote[1439].end 7857.95909375
transcript.pyannote[1440].speaker SPEAKER_20
transcript.pyannote[1440].start 7858.09409375
transcript.pyannote[1440].end 7866.39659375
transcript.pyannote[1441].speaker SPEAKER_20
transcript.pyannote[1441].start 7866.95346875
transcript.pyannote[1441].end 7874.41221875
transcript.pyannote[1442].speaker SPEAKER_20
transcript.pyannote[1442].start 7874.80034375
transcript.pyannote[1442].end 7879.42409375
transcript.pyannote[1443].speaker SPEAKER_20
transcript.pyannote[1443].start 7879.91346875
transcript.pyannote[1443].end 7881.85409375
transcript.pyannote[1444].speaker SPEAKER_20
transcript.pyannote[1444].start 7882.17471875
transcript.pyannote[1444].end 7890.30846875
transcript.pyannote[1445].speaker SPEAKER_20
transcript.pyannote[1445].start 7891.00034375
transcript.pyannote[1445].end 7892.31659375
transcript.pyannote[1446].speaker SPEAKER_20
transcript.pyannote[1446].start 7892.97471875
transcript.pyannote[1446].end 7894.30784375
transcript.pyannote[1447].speaker SPEAKER_20
transcript.pyannote[1447].start 7894.74659375
transcript.pyannote[1447].end 7896.95721875
transcript.pyannote[1448].speaker SPEAKER_20
transcript.pyannote[1448].start 7897.86846875
transcript.pyannote[1448].end 7900.04534375
transcript.pyannote[1449].speaker SPEAKER_20
transcript.pyannote[1449].start 7901.12534375
transcript.pyannote[1449].end 7903.79159375
transcript.pyannote[1450].speaker SPEAKER_20
transcript.pyannote[1450].start 7904.11221875
transcript.pyannote[1450].end 7914.16971875
transcript.pyannote[1451].speaker SPEAKER_20
transcript.pyannote[1451].start 7915.11471875
transcript.pyannote[1451].end 7919.21534375
transcript.pyannote[1452].speaker SPEAKER_20
transcript.pyannote[1452].start 7919.56971875
transcript.pyannote[1452].end 7921.67909375
transcript.pyannote[1453].speaker SPEAKER_20
transcript.pyannote[1453].start 7922.32034375
transcript.pyannote[1453].end 7922.94471875
transcript.pyannote[1454].speaker SPEAKER_20
transcript.pyannote[1454].start 7923.72096875
transcript.pyannote[1454].end 7924.73346875
transcript.pyannote[1455].speaker SPEAKER_20
transcript.pyannote[1455].start 7924.95284375
transcript.pyannote[1455].end 7927.97346875
transcript.pyannote[1456].speaker SPEAKER_20
transcript.pyannote[1456].start 7928.74971875
transcript.pyannote[1456].end 7929.52596875
transcript.pyannote[1457].speaker SPEAKER_20
transcript.pyannote[1457].start 7930.25159375
transcript.pyannote[1457].end 7931.41596875
transcript.pyannote[1458].speaker SPEAKER_20
transcript.pyannote[1458].start 7931.65221875
transcript.pyannote[1458].end 7932.05721875
transcript.pyannote[1459].speaker SPEAKER_20
transcript.pyannote[1459].start 7932.63096875
transcript.pyannote[1459].end 7938.77346875
transcript.pyannote[1460].speaker SPEAKER_20
transcript.pyannote[1460].start 7939.39784375
transcript.pyannote[1460].end 7940.44409375
transcript.pyannote[1461].speaker SPEAKER_20
transcript.pyannote[1461].start 7940.88284375
transcript.pyannote[1461].end 7943.09346875
transcript.pyannote[1462].speaker SPEAKER_20
transcript.pyannote[1462].start 7943.63346875
transcript.pyannote[1462].end 7944.94971875
transcript.pyannote[1463].speaker SPEAKER_20
transcript.pyannote[1463].start 7945.82721875
transcript.pyannote[1463].end 7950.07971875
transcript.pyannote[1464].speaker SPEAKER_20
transcript.pyannote[1464].start 7950.60284375
transcript.pyannote[1464].end 7953.74159375
transcript.pyannote[1465].speaker SPEAKER_20
transcript.pyannote[1465].start 7954.31534375
transcript.pyannote[1465].end 7955.85096875
transcript.pyannote[1466].speaker SPEAKER_20
transcript.pyannote[1466].start 7956.22221875
transcript.pyannote[1466].end 7957.03221875
transcript.pyannote[1467].speaker SPEAKER_20
transcript.pyannote[1467].start 7957.23471875
transcript.pyannote[1467].end 7958.39909375
transcript.pyannote[1468].speaker SPEAKER_20
transcript.pyannote[1468].start 7958.77034375
transcript.pyannote[1468].end 7963.93409375
transcript.pyannote[1469].speaker SPEAKER_20
transcript.pyannote[1469].start 7964.37284375
transcript.pyannote[1469].end 7967.25846875
transcript.pyannote[1470].speaker SPEAKER_20
transcript.pyannote[1470].start 7968.20346875
transcript.pyannote[1470].end 7969.60409375
transcript.pyannote[1471].speaker SPEAKER_20
transcript.pyannote[1471].start 7970.00909375
transcript.pyannote[1471].end 7980.04971875
transcript.pyannote[1472].speaker SPEAKER_20
transcript.pyannote[1472].start 7980.99471875
transcript.pyannote[1472].end 7981.70346875
transcript.pyannote[1473].speaker SPEAKER_20
transcript.pyannote[1473].start 7981.88909375
transcript.pyannote[1473].end 7984.67346875
transcript.pyannote[1474].speaker SPEAKER_20
transcript.pyannote[1474].start 7985.39909375
transcript.pyannote[1474].end 7987.55909375
transcript.pyannote[1475].speaker SPEAKER_20
transcript.pyannote[1475].start 7988.06534375
transcript.pyannote[1475].end 7999.10159375
transcript.pyannote[1476].speaker SPEAKER_20
transcript.pyannote[1476].start 7999.64159375
transcript.pyannote[1476].end 8002.71284375
transcript.pyannote[1477].speaker SPEAKER_20
transcript.pyannote[1477].start 8003.08409375
transcript.pyannote[1477].end 8006.03721875
transcript.pyannote[1478].speaker SPEAKER_20
transcript.pyannote[1478].start 8006.50971875
transcript.pyannote[1478].end 8010.67784375
transcript.pyannote[1479].speaker SPEAKER_20
transcript.pyannote[1479].start 8011.01534375
transcript.pyannote[1479].end 8016.41534375
transcript.pyannote[1480].speaker SPEAKER_20
transcript.pyannote[1480].start 8017.83284375
transcript.pyannote[1480].end 8020.12784375
transcript.pyannote[1481].speaker SPEAKER_20
transcript.pyannote[1481].start 8020.66784375
transcript.pyannote[1481].end 8021.66346875
transcript.pyannote[1482].speaker SPEAKER_20
transcript.pyannote[1482].start 8022.40596875
transcript.pyannote[1482].end 8023.68846875
transcript.pyannote[1483].speaker SPEAKER_20
transcript.pyannote[1483].start 8024.00909375
transcript.pyannote[1483].end 8025.79784375
transcript.pyannote[1484].speaker SPEAKER_20
transcript.pyannote[1484].start 8026.82721875
transcript.pyannote[1484].end 8032.31159375
transcript.pyannote[1485].speaker SPEAKER_20
transcript.pyannote[1485].start 8032.71659375
transcript.pyannote[1485].end 8034.03284375
transcript.pyannote[1486].speaker SPEAKER_20
transcript.pyannote[1486].start 8034.77534375
transcript.pyannote[1486].end 8035.82159375
transcript.pyannote[1487].speaker SPEAKER_20
transcript.pyannote[1487].start 8036.64846875
transcript.pyannote[1487].end 8037.86346875
transcript.pyannote[1488].speaker SPEAKER_20
transcript.pyannote[1488].start 8038.43721875
transcript.pyannote[1488].end 8039.66909375
transcript.pyannote[1489].speaker SPEAKER_20
transcript.pyannote[1489].start 8040.31034375
transcript.pyannote[1489].end 8049.06846875
transcript.pyannote[1490].speaker SPEAKER_20
transcript.pyannote[1490].start 8051.39721875
transcript.pyannote[1490].end 8055.16034375
transcript.pyannote[1491].speaker SPEAKER_20
transcript.pyannote[1491].start 8055.31221875
transcript.pyannote[1491].end 8066.51721875
transcript.pyannote[1492].speaker SPEAKER_20
transcript.pyannote[1492].start 8067.74909375
transcript.pyannote[1492].end 8070.29721875
transcript.pyannote[1493].speaker SPEAKER_20
transcript.pyannote[1493].start 8070.39846875
transcript.pyannote[1493].end 8074.12784375
transcript.pyannote[1494].speaker SPEAKER_20
transcript.pyannote[1494].start 8074.83659375
transcript.pyannote[1494].end 8075.49471875
transcript.pyannote[1495].speaker SPEAKER_20
transcript.pyannote[1495].start 8075.88284375
transcript.pyannote[1495].end 8078.19471875
transcript.pyannote[1496].speaker SPEAKER_20
transcript.pyannote[1496].start 8079.00471875
transcript.pyannote[1496].end 8079.84846875
transcript.pyannote[1497].speaker SPEAKER_20
transcript.pyannote[1497].start 8080.11846875
transcript.pyannote[1497].end 8084.35409375
transcript.pyannote[1498].speaker SPEAKER_20
transcript.pyannote[1498].start 8085.16409375
transcript.pyannote[1498].end 8087.62784375
transcript.pyannote[1499].speaker SPEAKER_20
transcript.pyannote[1499].start 8088.15096875
transcript.pyannote[1499].end 8089.38284375
transcript.pyannote[1500].speaker SPEAKER_20
transcript.pyannote[1500].start 8089.97346875
transcript.pyannote[1500].end 8090.66534375
transcript.pyannote[1501].speaker SPEAKER_20
transcript.pyannote[1501].start 8090.90159375
transcript.pyannote[1501].end 8092.52159375
transcript.pyannote[1502].speaker SPEAKER_20
transcript.pyannote[1502].start 8093.07846875
transcript.pyannote[1502].end 8095.40721875
transcript.pyannote[1503].speaker SPEAKER_20
transcript.pyannote[1503].start 8097.04409375
transcript.pyannote[1503].end 8100.03096875
transcript.pyannote[1504].speaker SPEAKER_20
transcript.pyannote[1504].start 8101.02659375
transcript.pyannote[1504].end 8104.03034375
transcript.pyannote[1505].speaker SPEAKER_20
transcript.pyannote[1505].start 8104.50284375
transcript.pyannote[1505].end 8105.02596875
transcript.pyannote[1506].speaker SPEAKER_20
transcript.pyannote[1506].start 8105.63346875
transcript.pyannote[1506].end 8108.04659375
transcript.pyannote[1507].speaker SPEAKER_20
transcript.pyannote[1507].start 8109.34596875
transcript.pyannote[1507].end 8109.83534375
transcript.pyannote[1508].speaker SPEAKER_20
transcript.pyannote[1508].start 8110.76346875
transcript.pyannote[1508].end 8112.80534375
transcript.pyannote[1509].speaker SPEAKER_20
transcript.pyannote[1509].start 8113.12596875
transcript.pyannote[1509].end 8120.14596875
transcript.pyannote[1510].speaker SPEAKER_20
transcript.pyannote[1510].start 8120.33159375
transcript.pyannote[1510].end 8126.62596875
transcript.pyannote[1511].speaker SPEAKER_20
transcript.pyannote[1511].start 8127.63846875
transcript.pyannote[1511].end 8129.24159375
transcript.pyannote[1512].speaker SPEAKER_20
transcript.pyannote[1512].start 8130.38909375
transcript.pyannote[1512].end 8132.54909375
transcript.pyannote[1513].speaker SPEAKER_20
transcript.pyannote[1513].start 8132.97096875
transcript.pyannote[1513].end 8134.96221875
transcript.pyannote[1514].speaker SPEAKER_20
transcript.pyannote[1514].start 8136.12659375
transcript.pyannote[1514].end 8138.28659375
transcript.pyannote[1515].speaker SPEAKER_20
transcript.pyannote[1515].start 8139.68721875
transcript.pyannote[1515].end 8140.64909375
transcript.pyannote[1516].speaker SPEAKER_20
transcript.pyannote[1516].start 8141.27346875
transcript.pyannote[1516].end 8142.47159375
transcript.pyannote[1517].speaker SPEAKER_20
transcript.pyannote[1517].start 8142.89346875
transcript.pyannote[1517].end 8146.04909375
transcript.pyannote[1518].speaker SPEAKER_20
transcript.pyannote[1518].start 8146.58909375
transcript.pyannote[1518].end 8148.73221875
transcript.pyannote[1519].speaker SPEAKER_30
transcript.pyannote[1519].start 8150.30159375
transcript.pyannote[1519].end 8152.93409375
transcript.pyannote[1520].speaker SPEAKER_20
transcript.pyannote[1520].start 8154.67221875
transcript.pyannote[1520].end 8155.75221875
transcript.pyannote[1521].speaker SPEAKER_30
transcript.pyannote[1521].start 8155.11096875
transcript.pyannote[1521].end 8156.96721875
transcript.pyannote[1522].speaker SPEAKER_20
transcript.pyannote[1522].start 8156.46096875
transcript.pyannote[1522].end 8161.91159375
transcript.pyannote[1523].speaker SPEAKER_30
transcript.pyannote[1523].start 8157.45659375
transcript.pyannote[1523].end 8157.89534375
transcript.pyannote[1524].speaker SPEAKER_30
transcript.pyannote[1524].start 8161.82721875
transcript.pyannote[1524].end 8161.89471875
transcript.pyannote[1525].speaker SPEAKER_30
transcript.pyannote[1525].start 8161.91159375
transcript.pyannote[1525].end 8162.11409375
transcript.pyannote[1526].speaker SPEAKER_20
transcript.pyannote[1526].start 8162.11409375
transcript.pyannote[1526].end 8168.49284375
transcript.pyannote[1527].speaker SPEAKER_20
transcript.pyannote[1527].start 8168.88096875
transcript.pyannote[1527].end 8169.53909375
transcript.pyannote[1528].speaker SPEAKER_20
transcript.pyannote[1528].start 8169.74159375
transcript.pyannote[1528].end 8170.83846875
transcript.pyannote[1529].speaker SPEAKER_20
transcript.pyannote[1529].start 8171.91846875
transcript.pyannote[1529].end 8183.79846875
transcript.pyannote[1530].speaker SPEAKER_20
transcript.pyannote[1530].start 8184.27096875
transcript.pyannote[1530].end 8185.87409375
transcript.pyannote[1531].speaker SPEAKER_20
transcript.pyannote[1531].start 8186.41409375
transcript.pyannote[1531].end 8187.08909375
transcript.pyannote[1532].speaker SPEAKER_20
transcript.pyannote[1532].start 8188.03409375
transcript.pyannote[1532].end 8197.90596875
transcript.pyannote[1533].speaker SPEAKER_20
transcript.pyannote[1533].start 8198.96909375
transcript.pyannote[1533].end 8203.03596875
transcript.pyannote[1534].speaker SPEAKER_20
transcript.pyannote[1534].start 8203.66034375
transcript.pyannote[1534].end 8209.51596875
transcript.pyannote[1535].speaker SPEAKER_20
transcript.pyannote[1535].start 8209.88721875
transcript.pyannote[1535].end 8211.16971875
transcript.pyannote[1536].speaker SPEAKER_20
transcript.pyannote[1536].start 8211.37221875
transcript.pyannote[1536].end 8212.62096875
transcript.pyannote[1537].speaker SPEAKER_20
transcript.pyannote[1537].start 8213.29596875
transcript.pyannote[1537].end 8214.47721875
transcript.pyannote[1538].speaker SPEAKER_20
transcript.pyannote[1538].start 8215.18596875
transcript.pyannote[1538].end 8216.58659375
transcript.pyannote[1539].speaker SPEAKER_20
transcript.pyannote[1539].start 8216.97471875
transcript.pyannote[1539].end 8218.67909375
transcript.pyannote[1540].speaker SPEAKER_20
transcript.pyannote[1540].start 8220.07971875
transcript.pyannote[1540].end 8220.97409375
transcript.pyannote[1541].speaker SPEAKER_30
transcript.pyannote[1541].start 8220.97409375
transcript.pyannote[1541].end 8221.69971875
transcript.pyannote[1542].speaker SPEAKER_34
transcript.pyannote[1542].start 8221.69971875
transcript.pyannote[1542].end 8222.25659375
transcript.pyannote[1543].speaker SPEAKER_30
transcript.pyannote[1543].start 8222.67846875
transcript.pyannote[1543].end 8229.63096875
transcript.pyannote[1544].speaker SPEAKER_20
transcript.pyannote[1544].start 8229.63096875
transcript.pyannote[1544].end 8229.64784375
transcript.pyannote[1545].speaker SPEAKER_30
transcript.pyannote[1545].start 8229.64784375
transcript.pyannote[1545].end 8230.39034375
transcript.pyannote[1546].speaker SPEAKER_20
transcript.pyannote[1546].start 8229.68159375
transcript.pyannote[1546].end 8249.72909375
transcript.pyannote[1547].speaker SPEAKER_30
transcript.pyannote[1547].start 8231.14971875
transcript.pyannote[1547].end 8232.34784375
transcript.pyannote[1548].speaker SPEAKER_20
transcript.pyannote[1548].start 8250.11721875
transcript.pyannote[1548].end 8275.53096875
transcript.pyannote[1549].speaker SPEAKER_20
transcript.pyannote[1549].start 8275.86846875
transcript.pyannote[1549].end 8277.80909375
transcript.pyannote[1550].speaker SPEAKER_30
transcript.pyannote[1550].start 8278.26471875
transcript.pyannote[1550].end 8305.83846875
transcript.pyannote[1551].speaker SPEAKER_20
transcript.pyannote[1551].start 8292.96284375
transcript.pyannote[1551].end 8294.97096875
transcript.pyannote[1552].speaker SPEAKER_20
transcript.pyannote[1552].start 8304.37034375
transcript.pyannote[1552].end 8305.34909375
transcript.pyannote[1553].speaker SPEAKER_20
transcript.pyannote[1553].start 8305.68659375
transcript.pyannote[1553].end 8305.82159375
transcript.pyannote[1554].speaker SPEAKER_20
transcript.pyannote[1554].start 8305.83846875
transcript.pyannote[1554].end 8310.88409375
transcript.pyannote[1555].speaker SPEAKER_20
transcript.pyannote[1555].start 8311.20471875
transcript.pyannote[1555].end 8329.22721875
transcript.pyannote[1556].speaker SPEAKER_20
transcript.pyannote[1556].start 8330.02034375
transcript.pyannote[1556].end 8332.36596875
transcript.pyannote[1557].speaker SPEAKER_20
transcript.pyannote[1557].start 8333.19284375
transcript.pyannote[1557].end 8348.43096875
transcript.pyannote[1558].speaker SPEAKER_20
transcript.pyannote[1558].start 8348.80221875
transcript.pyannote[1558].end 8351.97471875
transcript.pyannote[1559].speaker SPEAKER_20
transcript.pyannote[1559].start 8352.32909375
transcript.pyannote[1559].end 8354.16846875
transcript.pyannote[1560].speaker SPEAKER_20
transcript.pyannote[1560].start 8354.74221875
transcript.pyannote[1560].end 8356.10909375
transcript.pyannote[1561].speaker SPEAKER_20
transcript.pyannote[1561].start 8356.83471875
transcript.pyannote[1561].end 8357.49284375
transcript.pyannote[1562].speaker SPEAKER_20
transcript.pyannote[1562].start 8358.23534375
transcript.pyannote[1562].end 8360.59784375
transcript.pyannote[1563].speaker SPEAKER_20
transcript.pyannote[1563].start 8361.18846875
transcript.pyannote[1563].end 8362.79159375
transcript.pyannote[1564].speaker SPEAKER_20
transcript.pyannote[1564].start 8363.34846875
transcript.pyannote[1564].end 8363.63534375
transcript.pyannote[1565].speaker SPEAKER_20
transcript.pyannote[1565].start 8364.10784375
transcript.pyannote[1565].end 8367.02721875
transcript.pyannote[1566].speaker SPEAKER_20
transcript.pyannote[1566].start 8368.00596875
transcript.pyannote[1566].end 8373.01784375
transcript.pyannote[1567].speaker SPEAKER_30
transcript.pyannote[1567].start 8374.04721875
transcript.pyannote[1567].end 8400.25409375
transcript.pyannote[1568].speaker SPEAKER_20
transcript.pyannote[1568].start 8383.37909375
transcript.pyannote[1568].end 8384.34096875
transcript.pyannote[1569].speaker SPEAKER_30
transcript.pyannote[1569].start 8400.55784375
transcript.pyannote[1569].end 8402.26221875
transcript.pyannote[1570].speaker SPEAKER_02
transcript.pyannote[1570].start 8402.26221875
transcript.pyannote[1570].end 8402.71784375
transcript.pyannote[1571].speaker SPEAKER_30
transcript.pyannote[1571].start 8402.97096875
transcript.pyannote[1571].end 8404.20284375
transcript.pyannote[1572].speaker SPEAKER_30
transcript.pyannote[1572].start 8404.86096875
transcript.pyannote[1572].end 8406.04221875
transcript.pyannote[1573].speaker SPEAKER_20
transcript.pyannote[1573].start 8406.04221875
transcript.pyannote[1573].end 8406.12659375
transcript.pyannote[1574].speaker SPEAKER_30
transcript.pyannote[1574].start 8406.12659375
transcript.pyannote[1574].end 8420.97659375
transcript.pyannote[1575].speaker SPEAKER_20
transcript.pyannote[1575].start 8420.97659375
transcript.pyannote[1575].end 8429.31284375
transcript.pyannote[1576].speaker SPEAKER_30
transcript.pyannote[1576].start 8422.17471875
transcript.pyannote[1576].end 8424.01409375
transcript.pyannote[1577].speaker SPEAKER_30
transcript.pyannote[1577].start 8429.21159375
transcript.pyannote[1577].end 8433.05909375
transcript.pyannote[1578].speaker SPEAKER_20
transcript.pyannote[1578].start 8429.73471875
transcript.pyannote[1578].end 8429.75159375
transcript.pyannote[1579].speaker SPEAKER_20
transcript.pyannote[1579].start 8431.52346875
transcript.pyannote[1579].end 8441.98596875
transcript.pyannote[1580].speaker SPEAKER_30
transcript.pyannote[1580].start 8438.00346875
transcript.pyannote[1580].end 8439.50534375
transcript.pyannote[1581].speaker SPEAKER_00
transcript.pyannote[1581].start 8439.50534375
transcript.pyannote[1581].end 8439.53909375
transcript.pyannote[1582].speaker SPEAKER_20
transcript.pyannote[1582].start 8448.85409375
transcript.pyannote[1582].end 8450.32221875
transcript.pyannote[1583].speaker SPEAKER_15
transcript.pyannote[1583].start 8451.11534375
transcript.pyannote[1583].end 8451.79034375
transcript.pyannote[1584].speaker SPEAKER_20
transcript.pyannote[1584].start 8452.26284375
transcript.pyannote[1584].end 8512.01721875
transcript.pyannote[1585].speaker SPEAKER_20
transcript.pyannote[1585].start 8512.35471875
transcript.pyannote[1585].end 8513.50221875
transcript.pyannote[1586].speaker SPEAKER_15
transcript.pyannote[1586].start 8512.75971875
transcript.pyannote[1586].end 8514.19409375
transcript.pyannote[1587].speaker SPEAKER_20
transcript.pyannote[1587].start 8514.19409375
transcript.pyannote[1587].end 8526.31034375
transcript.pyannote[1588].speaker SPEAKER_31
transcript.pyannote[1588].start 8526.31034375
transcript.pyannote[1588].end 8526.71534375
transcript.pyannote[1589].speaker SPEAKER_20
transcript.pyannote[1589].start 8526.81659375
transcript.pyannote[1589].end 8529.14534375
transcript.pyannote[1590].speaker SPEAKER_26
transcript.pyannote[1590].start 8526.86721875
transcript.pyannote[1590].end 8532.26721875
transcript.pyannote[1591].speaker SPEAKER_31
transcript.pyannote[1591].start 8529.14534375
transcript.pyannote[1591].end 8530.10721875
transcript.pyannote[1592].speaker SPEAKER_15
transcript.pyannote[1592].start 8530.10721875
transcript.pyannote[1592].end 8530.19159375
transcript.pyannote[1593].speaker SPEAKER_37
transcript.pyannote[1593].start 8540.51909375
transcript.pyannote[1593].end 8541.97034375
transcript.pyannote[1594].speaker SPEAKER_37
transcript.pyannote[1594].start 8542.29096875
transcript.pyannote[1594].end 8550.00284375
transcript.pyannote[1595].speaker SPEAKER_26
transcript.pyannote[1595].start 8550.27284375
transcript.pyannote[1595].end 8551.53846875
transcript.pyannote[1596].speaker SPEAKER_26
transcript.pyannote[1596].start 8552.21346875
transcript.pyannote[1596].end 8552.85471875
transcript.pyannote[1597].speaker SPEAKER_37
transcript.pyannote[1597].start 8553.31034375
transcript.pyannote[1597].end 8554.45784375
transcript.pyannote[1598].speaker SPEAKER_37
transcript.pyannote[1598].start 8554.74471875
transcript.pyannote[1598].end 8555.35221875
transcript.pyannote[1599].speaker SPEAKER_37
transcript.pyannote[1599].start 8555.52096875
transcript.pyannote[1599].end 8557.27596875
transcript.pyannote[1600].speaker SPEAKER_37
transcript.pyannote[1600].start 8557.49534375
transcript.pyannote[1600].end 8565.56159375
transcript.pyannote[1601].speaker SPEAKER_37
transcript.pyannote[1601].start 8565.96659375
transcript.pyannote[1601].end 8571.82221875
transcript.pyannote[1602].speaker SPEAKER_37
transcript.pyannote[1602].start 8571.90659375
transcript.pyannote[1602].end 8587.04346875
transcript.pyannote[1603].speaker SPEAKER_37
transcript.pyannote[1603].start 8587.34721875
transcript.pyannote[1603].end 8631.28971875
transcript.pyannote[1604].speaker SPEAKER_37
transcript.pyannote[1604].start 8631.84659375
transcript.pyannote[1604].end 8633.43284375
transcript.pyannote[1605].speaker SPEAKER_30
transcript.pyannote[1605].start 8633.92221875
transcript.pyannote[1605].end 8640.55409375
transcript.pyannote[1606].speaker SPEAKER_37
transcript.pyannote[1606].start 8639.11971875
transcript.pyannote[1606].end 8639.82846875
transcript.pyannote[1607].speaker SPEAKER_37
transcript.pyannote[1607].start 8640.63846875
transcript.pyannote[1607].end 8644.43534375
transcript.pyannote[1608].speaker SPEAKER_37
transcript.pyannote[1608].start 8644.73909375
transcript.pyannote[1608].end 8646.67971875
transcript.pyannote[1609].speaker SPEAKER_37
transcript.pyannote[1609].start 8646.74721875
transcript.pyannote[1609].end 8648.18159375
transcript.pyannote[1610].speaker SPEAKER_37
transcript.pyannote[1610].start 8648.67096875
transcript.pyannote[1610].end 8657.39534375
transcript.pyannote[1611].speaker SPEAKER_30
transcript.pyannote[1611].start 8658.12096875
transcript.pyannote[1611].end 8691.92159375
transcript.pyannote[1612].speaker SPEAKER_00
transcript.pyannote[1612].start 8666.81159375
transcript.pyannote[1612].end 8666.89596875
transcript.pyannote[1613].speaker SPEAKER_31
transcript.pyannote[1613].start 8666.89596875
transcript.pyannote[1613].end 8666.99721875
transcript.pyannote[1614].speaker SPEAKER_00
transcript.pyannote[1614].start 8666.99721875
transcript.pyannote[1614].end 8667.13221875
transcript.pyannote[1615].speaker SPEAKER_37
transcript.pyannote[1615].start 8691.92159375
transcript.pyannote[1615].end 8696.91659375
transcript.pyannote[1616].speaker SPEAKER_30
transcript.pyannote[1616].start 8694.09846875
transcript.pyannote[1616].end 8694.30096875
transcript.pyannote[1617].speaker SPEAKER_37
transcript.pyannote[1617].start 8697.28784375
transcript.pyannote[1617].end 8698.65471875
transcript.pyannote[1618].speaker SPEAKER_31
transcript.pyannote[1618].start 8698.75596875
transcript.pyannote[1618].end 8699.00909375
transcript.pyannote[1619].speaker SPEAKER_37
transcript.pyannote[1619].start 8699.71784375
transcript.pyannote[1619].end 8700.02159375
transcript.pyannote[1620].speaker SPEAKER_37
transcript.pyannote[1620].start 8700.49409375
transcript.pyannote[1620].end 8702.85659375
transcript.pyannote[1621].speaker SPEAKER_37
transcript.pyannote[1621].start 8703.58221875
transcript.pyannote[1621].end 8706.65346875
transcript.pyannote[1622].speaker SPEAKER_37
transcript.pyannote[1622].start 8707.12596875
transcript.pyannote[1622].end 8709.99471875
transcript.pyannote[1623].speaker SPEAKER_37
transcript.pyannote[1623].start 8710.66971875
transcript.pyannote[1623].end 8713.79159375
transcript.pyannote[1624].speaker SPEAKER_37
transcript.pyannote[1624].start 8713.90971875
transcript.pyannote[1624].end 8723.93346875
transcript.pyannote[1625].speaker SPEAKER_30
transcript.pyannote[1625].start 8724.54096875
transcript.pyannote[1625].end 8726.56596875
transcript.pyannote[1626].speaker SPEAKER_37
transcript.pyannote[1626].start 8726.02596875
transcript.pyannote[1626].end 8727.98346875
transcript.pyannote[1627].speaker SPEAKER_30
transcript.pyannote[1627].start 8728.11846875
transcript.pyannote[1627].end 8732.92784375
transcript.pyannote[1628].speaker SPEAKER_37
transcript.pyannote[1628].start 8732.64096875
transcript.pyannote[1628].end 8738.27721875
transcript.pyannote[1629].speaker SPEAKER_37
transcript.pyannote[1629].start 8738.59784375
transcript.pyannote[1629].end 8741.56784375
transcript.pyannote[1630].speaker SPEAKER_37
transcript.pyannote[1630].start 8742.09096875
transcript.pyannote[1630].end 8748.79034375
transcript.pyannote[1631].speaker SPEAKER_30
transcript.pyannote[1631].start 8748.95909375
transcript.pyannote[1631].end 8762.96534375
transcript.pyannote[1632].speaker SPEAKER_37
transcript.pyannote[1632].start 8753.54909375
transcript.pyannote[1632].end 8753.83596875
transcript.pyannote[1633].speaker SPEAKER_30
transcript.pyannote[1633].start 8763.55596875
transcript.pyannote[1633].end 8776.98846875
transcript.pyannote[1634].speaker SPEAKER_31
transcript.pyannote[1634].start 8765.41221875
transcript.pyannote[1634].end 8765.76659375
transcript.pyannote[1635].speaker SPEAKER_30
transcript.pyannote[1635].start 8777.07284375
transcript.pyannote[1635].end 8785.29096875
transcript.pyannote[1636].speaker SPEAKER_37
transcript.pyannote[1636].start 8784.90284375
transcript.pyannote[1636].end 8786.13471875
transcript.pyannote[1637].speaker SPEAKER_30
transcript.pyannote[1637].start 8785.98284375
transcript.pyannote[1637].end 8786.43846875
transcript.pyannote[1638].speaker SPEAKER_37
transcript.pyannote[1638].start 8786.62409375
transcript.pyannote[1638].end 8790.30284375
transcript.pyannote[1639].speaker SPEAKER_37
transcript.pyannote[1639].start 8790.64034375
transcript.pyannote[1639].end 8791.90596875
transcript.pyannote[1640].speaker SPEAKER_37
transcript.pyannote[1640].start 8792.32784375
transcript.pyannote[1640].end 8797.71096875
transcript.pyannote[1641].speaker SPEAKER_30
transcript.pyannote[1641].start 8797.96409375
transcript.pyannote[1641].end 8797.98096875
transcript.pyannote[1642].speaker SPEAKER_31
transcript.pyannote[1642].start 8797.98096875
transcript.pyannote[1642].end 8798.11596875
transcript.pyannote[1643].speaker SPEAKER_37
transcript.pyannote[1643].start 8798.11596875
transcript.pyannote[1643].end 8805.03471875
transcript.pyannote[1644].speaker SPEAKER_30
transcript.pyannote[1644].start 8805.03471875
transcript.pyannote[1644].end 8805.72659375
transcript.pyannote[1645].speaker SPEAKER_37
transcript.pyannote[1645].start 8805.72659375
transcript.pyannote[1645].end 8808.42659375
transcript.pyannote[1646].speaker SPEAKER_30
transcript.pyannote[1646].start 8808.71346875
transcript.pyannote[1646].end 8840.45534375
transcript.pyannote[1647].speaker SPEAKER_37
transcript.pyannote[1647].start 8812.12221875
transcript.pyannote[1647].end 8812.51034375
transcript.pyannote[1648].speaker SPEAKER_37
transcript.pyannote[1648].start 8836.33784375
transcript.pyannote[1648].end 8836.55721875
transcript.pyannote[1649].speaker SPEAKER_37
transcript.pyannote[1649].start 8839.98284375
transcript.pyannote[1649].end 8877.68159375
transcript.pyannote[1650].speaker SPEAKER_30
transcript.pyannote[1650].start 8844.77534375
transcript.pyannote[1650].end 8845.18034375
transcript.pyannote[1651].speaker SPEAKER_37
transcript.pyannote[1651].start 8878.71096875
transcript.pyannote[1651].end 8896.44659375
transcript.pyannote[1652].speaker SPEAKER_37
transcript.pyannote[1652].start 8896.80096875
transcript.pyannote[1652].end 8899.63596875
transcript.pyannote[1653].speaker SPEAKER_37
transcript.pyannote[1653].start 8899.78784375
transcript.pyannote[1653].end 8921.77596875
transcript.pyannote[1654].speaker SPEAKER_37
transcript.pyannote[1654].start 8922.23159375
transcript.pyannote[1654].end 8925.53909375
transcript.pyannote[1655].speaker SPEAKER_30
transcript.pyannote[1655].start 8926.29846875
transcript.pyannote[1655].end 8950.71659375
transcript.pyannote[1656].speaker SPEAKER_23
transcript.pyannote[1656].start 8934.14534375
transcript.pyannote[1656].end 8934.31409375
transcript.pyannote[1657].speaker SPEAKER_37
transcript.pyannote[1657].start 8950.27784375
transcript.pyannote[1657].end 8965.29659375
transcript.pyannote[1658].speaker SPEAKER_30
transcript.pyannote[1658].start 8965.04346875
transcript.pyannote[1658].end 8977.93596875
transcript.pyannote[1659].speaker SPEAKER_37
transcript.pyannote[1659].start 8966.79846875
transcript.pyannote[1659].end 8967.15284375
transcript.pyannote[1660].speaker SPEAKER_37
transcript.pyannote[1660].start 8968.84034375
transcript.pyannote[1660].end 8969.14409375
transcript.pyannote[1661].speaker SPEAKER_37
transcript.pyannote[1661].start 8978.07096875
transcript.pyannote[1661].end 8985.39471875
transcript.pyannote[1662].speaker SPEAKER_30
transcript.pyannote[1662].start 8984.98971875
transcript.pyannote[1662].end 8985.46221875
transcript.pyannote[1663].speaker SPEAKER_37
transcript.pyannote[1663].start 8985.44534375
transcript.pyannote[1663].end 8989.37721875
transcript.pyannote[1664].speaker SPEAKER_30
transcript.pyannote[1664].start 8989.66409375
transcript.pyannote[1664].end 8990.74409375
transcript.pyannote[1665].speaker SPEAKER_37
transcript.pyannote[1665].start 8990.11971875
transcript.pyannote[1665].end 8994.76034375
transcript.pyannote[1666].speaker SPEAKER_18
transcript.pyannote[1666].start 8994.64221875
transcript.pyannote[1666].end 8994.67596875
transcript.pyannote[1667].speaker SPEAKER_30
transcript.pyannote[1667].start 8994.67596875
transcript.pyannote[1667].end 8994.96284375
transcript.pyannote[1668].speaker SPEAKER_18
transcript.pyannote[1668].start 8994.96284375
transcript.pyannote[1668].end 8995.04721875
transcript.pyannote[1669].speaker SPEAKER_37
transcript.pyannote[1669].start 8995.40159375
transcript.pyannote[1669].end 8996.93721875
transcript.pyannote[1670].speaker SPEAKER_37
transcript.pyannote[1670].start 8997.13971875
transcript.pyannote[1670].end 9009.05346875
transcript.pyannote[1671].speaker SPEAKER_37
transcript.pyannote[1671].start 9009.44159375
transcript.pyannote[1671].end 9024.03846875
transcript.pyannote[1672].speaker SPEAKER_37
transcript.pyannote[1672].start 9024.05534375
transcript.pyannote[1672].end 9030.78846875
transcript.pyannote[1673].speaker SPEAKER_37
transcript.pyannote[1673].start 9031.39596875
transcript.pyannote[1673].end 9036.76221875
transcript.pyannote[1674].speaker SPEAKER_15
transcript.pyannote[1674].start 9039.86721875
transcript.pyannote[1674].end 9040.98096875
transcript.pyannote[1675].speaker SPEAKER_15
transcript.pyannote[1675].start 9041.16659375
transcript.pyannote[1675].end 9043.47846875
transcript.pyannote[1676].speaker SPEAKER_15
transcript.pyannote[1676].start 9043.68096875
transcript.pyannote[1676].end 9065.11221875
transcript.pyannote[1677].speaker SPEAKER_15
transcript.pyannote[1677].start 9065.46659375
transcript.pyannote[1677].end 9066.25971875
transcript.pyannote[1678].speaker SPEAKER_15
transcript.pyannote[1678].start 9066.46221875
transcript.pyannote[1678].end 9073.53284375
transcript.pyannote[1679].speaker SPEAKER_31
transcript.pyannote[1679].start 9073.53284375
transcript.pyannote[1679].end 9073.61721875
transcript.pyannote[1680].speaker SPEAKER_15
transcript.pyannote[1680].start 9073.61721875
transcript.pyannote[1680].end 9099.31784375
transcript.pyannote[1681].speaker SPEAKER_35
transcript.pyannote[1681].start 9083.20221875
transcript.pyannote[1681].end 9083.23596875
transcript.pyannote[1682].speaker SPEAKER_31
transcript.pyannote[1682].start 9083.23596875
transcript.pyannote[1682].end 9083.30346875
transcript.pyannote[1683].speaker SPEAKER_35
transcript.pyannote[1683].start 9083.30346875
transcript.pyannote[1683].end 9083.37096875
transcript.pyannote[1684].speaker SPEAKER_31
transcript.pyannote[1684].start 9083.37096875
transcript.pyannote[1684].end 9083.40471875
transcript.pyannote[1685].speaker SPEAKER_15
transcript.pyannote[1685].start 9099.65534375
transcript.pyannote[1685].end 9107.21534375
transcript.pyannote[1686].speaker SPEAKER_31
transcript.pyannote[1686].start 9107.18159375
transcript.pyannote[1686].end 9107.48534375
transcript.pyannote[1687].speaker SPEAKER_15
transcript.pyannote[1687].start 9107.38409375
transcript.pyannote[1687].end 9112.44659375
transcript.pyannote[1688].speaker SPEAKER_31
transcript.pyannote[1688].start 9112.44659375
transcript.pyannote[1688].end 9112.48034375
transcript.pyannote[1689].speaker SPEAKER_15
transcript.pyannote[1689].start 9112.48034375
transcript.pyannote[1689].end 9130.14846875
transcript.pyannote[1690].speaker SPEAKER_31
transcript.pyannote[1690].start 9112.53096875
transcript.pyannote[1690].end 9112.64909375
transcript.pyannote[1691].speaker SPEAKER_15
transcript.pyannote[1691].start 9130.75596875
transcript.pyannote[1691].end 9134.97471875
transcript.pyannote[1692].speaker SPEAKER_15
transcript.pyannote[1692].start 9135.22784375
transcript.pyannote[1692].end 9141.50534375
transcript.pyannote[1693].speaker SPEAKER_37
transcript.pyannote[1693].start 9140.77971875
transcript.pyannote[1693].end 9146.01096875
transcript.pyannote[1694].speaker SPEAKER_15
transcript.pyannote[1694].start 9142.29846875
transcript.pyannote[1694].end 9142.95659375
transcript.pyannote[1695].speaker SPEAKER_37
transcript.pyannote[1695].start 9146.34846875
transcript.pyannote[1695].end 9147.58034375
transcript.pyannote[1696].speaker SPEAKER_15
transcript.pyannote[1696].start 9147.58034375
transcript.pyannote[1696].end 9147.63096875
transcript.pyannote[1697].speaker SPEAKER_37
transcript.pyannote[1697].start 9147.71534375
transcript.pyannote[1697].end 9149.45346875
transcript.pyannote[1698].speaker SPEAKER_15
transcript.pyannote[1698].start 9149.23409375
transcript.pyannote[1698].end 9149.40284375
transcript.pyannote[1699].speaker SPEAKER_15
transcript.pyannote[1699].start 9149.45346875
transcript.pyannote[1699].end 9159.03846875
transcript.pyannote[1700].speaker SPEAKER_37
transcript.pyannote[1700].start 9159.03846875
transcript.pyannote[1700].end 9159.05534375
transcript.pyannote[1701].speaker SPEAKER_15
transcript.pyannote[1701].start 9159.57846875
transcript.pyannote[1701].end 9159.59534375
transcript.pyannote[1702].speaker SPEAKER_37
transcript.pyannote[1702].start 9159.59534375
transcript.pyannote[1702].end 9163.35846875
transcript.pyannote[1703].speaker SPEAKER_37
transcript.pyannote[1703].start 9163.76346875
transcript.pyannote[1703].end 9164.84346875
transcript.pyannote[1704].speaker SPEAKER_37
transcript.pyannote[1704].start 9165.48471875
transcript.pyannote[1704].end 9168.28596875
transcript.pyannote[1705].speaker SPEAKER_37
transcript.pyannote[1705].start 9168.64034375
transcript.pyannote[1705].end 9184.41846875
transcript.pyannote[1706].speaker SPEAKER_30
transcript.pyannote[1706].start 9184.84034375
transcript.pyannote[1706].end 9197.68221875
transcript.pyannote[1707].speaker SPEAKER_37
transcript.pyannote[1707].start 9197.39534375
transcript.pyannote[1707].end 9197.85096875
transcript.pyannote[1708].speaker SPEAKER_30
transcript.pyannote[1708].start 9197.73284375
transcript.pyannote[1708].end 9200.17971875
transcript.pyannote[1709].speaker SPEAKER_37
transcript.pyannote[1709].start 9200.17971875
transcript.pyannote[1709].end 9201.42846875
transcript.pyannote[1710].speaker SPEAKER_30
transcript.pyannote[1710].start 9200.19659375
transcript.pyannote[1710].end 9200.21346875
transcript.pyannote[1711].speaker SPEAKER_30
transcript.pyannote[1711].start 9201.83346875
transcript.pyannote[1711].end 9203.16659375
transcript.pyannote[1712].speaker SPEAKER_37
transcript.pyannote[1712].start 9203.33534375
transcript.pyannote[1712].end 9210.92909375
transcript.pyannote[1713].speaker SPEAKER_37
transcript.pyannote[1713].start 9211.40159375
transcript.pyannote[1713].end 9214.11846875
transcript.pyannote[1714].speaker SPEAKER_37
transcript.pyannote[1714].start 9214.50659375
transcript.pyannote[1714].end 9217.91534375
transcript.pyannote[1715].speaker SPEAKER_30
transcript.pyannote[1715].start 9217.47659375
transcript.pyannote[1715].end 9221.98221875
transcript.pyannote[1716].speaker SPEAKER_37
transcript.pyannote[1716].start 9219.33284375
transcript.pyannote[1716].end 9219.83909375
transcript.pyannote[1717].speaker SPEAKER_37
transcript.pyannote[1717].start 9221.84721875
transcript.pyannote[1717].end 9225.61034375
transcript.pyannote[1718].speaker SPEAKER_30
transcript.pyannote[1718].start 9224.37846875
transcript.pyannote[1718].end 9226.94346875
transcript.pyannote[1719].speaker SPEAKER_37
transcript.pyannote[1719].start 9226.99409375
transcript.pyannote[1719].end 9229.77846875
transcript.pyannote[1720].speaker SPEAKER_26
transcript.pyannote[1720].start 9230.41971875
transcript.pyannote[1720].end 9233.74409375
transcript.pyannote[1721].speaker SPEAKER_12
transcript.pyannote[1721].start 9244.10534375
transcript.pyannote[1721].end 9246.23159375
transcript.pyannote[1722].speaker SPEAKER_26
transcript.pyannote[1722].start 9246.46784375
transcript.pyannote[1722].end 9247.63221875
transcript.pyannote[1723].speaker SPEAKER_12
transcript.pyannote[1723].start 9251.76659375
transcript.pyannote[1723].end 9258.39846875
transcript.pyannote[1724].speaker SPEAKER_27
transcript.pyannote[1724].start 9258.39846875
transcript.pyannote[1724].end 9258.82034375
transcript.pyannote[1725].speaker SPEAKER_12
transcript.pyannote[1725].start 9258.78659375
transcript.pyannote[1725].end 9262.16159375
transcript.pyannote[1726].speaker SPEAKER_27
transcript.pyannote[1726].start 9261.90846875
transcript.pyannote[1726].end 9262.41471875
transcript.pyannote[1727].speaker SPEAKER_12
transcript.pyannote[1727].start 9262.29659375
transcript.pyannote[1727].end 9266.41409375
transcript.pyannote[1728].speaker SPEAKER_12
transcript.pyannote[1728].start 9266.46471875
transcript.pyannote[1728].end 9268.54034375
transcript.pyannote[1729].speaker SPEAKER_12
transcript.pyannote[1729].start 9269.06346875
transcript.pyannote[1729].end 9273.16409375
transcript.pyannote[1730].speaker SPEAKER_12
transcript.pyannote[1730].start 9273.19784375
transcript.pyannote[1730].end 9276.33659375
transcript.pyannote[1731].speaker SPEAKER_12
transcript.pyannote[1731].start 9276.84284375
transcript.pyannote[1731].end 9279.93096875
transcript.pyannote[1732].speaker SPEAKER_12
transcript.pyannote[1732].start 9280.21784375
transcript.pyannote[1732].end 9284.65596875
transcript.pyannote[1733].speaker SPEAKER_12
transcript.pyannote[1733].start 9285.11159375
transcript.pyannote[1733].end 9285.38159375
transcript.pyannote[1734].speaker SPEAKER_12
transcript.pyannote[1734].start 9285.60096875
transcript.pyannote[1734].end 9287.18721875
transcript.pyannote[1735].speaker SPEAKER_12
transcript.pyannote[1735].start 9287.54159375
transcript.pyannote[1735].end 9289.16159375
transcript.pyannote[1736].speaker SPEAKER_12
transcript.pyannote[1736].start 9289.33034375
transcript.pyannote[1736].end 9290.68034375
transcript.pyannote[1737].speaker SPEAKER_12
transcript.pyannote[1737].start 9291.08534375
transcript.pyannote[1737].end 9292.57034375
transcript.pyannote[1738].speaker SPEAKER_12
transcript.pyannote[1738].start 9292.78971875
transcript.pyannote[1738].end 9299.75909375
transcript.pyannote[1739].speaker SPEAKER_12
transcript.pyannote[1739].start 9300.63659375
transcript.pyannote[1739].end 9302.00346875
transcript.pyannote[1740].speaker SPEAKER_12
transcript.pyannote[1740].start 9302.44221875
transcript.pyannote[1740].end 9303.55596875
transcript.pyannote[1741].speaker SPEAKER_12
transcript.pyannote[1741].start 9304.18034375
transcript.pyannote[1741].end 9304.83846875
transcript.pyannote[1742].speaker SPEAKER_12
transcript.pyannote[1742].start 9305.42909375
transcript.pyannote[1742].end 9306.55971875
transcript.pyannote[1743].speaker SPEAKER_12
transcript.pyannote[1743].start 9307.52159375
transcript.pyannote[1743].end 9309.00659375
transcript.pyannote[1744].speaker SPEAKER_12
transcript.pyannote[1744].start 9309.34409375
transcript.pyannote[1744].end 9310.47471875
transcript.pyannote[1745].speaker SPEAKER_12
transcript.pyannote[1745].start 9311.18346875
transcript.pyannote[1745].end 9312.44909375
transcript.pyannote[1746].speaker SPEAKER_12
transcript.pyannote[1746].start 9312.88784375
transcript.pyannote[1746].end 9314.00159375
transcript.pyannote[1747].speaker SPEAKER_12
transcript.pyannote[1747].start 9314.77784375
transcript.pyannote[1747].end 9332.36159375
transcript.pyannote[1748].speaker SPEAKER_12
transcript.pyannote[1748].start 9333.67784375
transcript.pyannote[1748].end 9339.07784375
transcript.pyannote[1749].speaker SPEAKER_12
transcript.pyannote[1749].start 9339.39846875
transcript.pyannote[1749].end 9341.71034375
transcript.pyannote[1750].speaker SPEAKER_12
transcript.pyannote[1750].start 9342.52034375
transcript.pyannote[1750].end 9343.66784375
transcript.pyannote[1751].speaker SPEAKER_12
transcript.pyannote[1751].start 9344.12346875
transcript.pyannote[1751].end 9346.40159375
transcript.pyannote[1752].speaker SPEAKER_12
transcript.pyannote[1752].start 9347.09346875
transcript.pyannote[1752].end 9351.66659375
transcript.pyannote[1753].speaker SPEAKER_12
transcript.pyannote[1753].start 9352.54409375
transcript.pyannote[1753].end 9361.70721875
transcript.pyannote[1754].speaker SPEAKER_12
transcript.pyannote[1754].start 9362.34846875
transcript.pyannote[1754].end 9370.58346875
transcript.pyannote[1755].speaker SPEAKER_12
transcript.pyannote[1755].start 9371.27534375
transcript.pyannote[1755].end 9372.52409375
transcript.pyannote[1756].speaker SPEAKER_12
transcript.pyannote[1756].start 9372.65909375
transcript.pyannote[1756].end 9375.96659375
transcript.pyannote[1757].speaker SPEAKER_12
transcript.pyannote[1757].start 9376.45596875
transcript.pyannote[1757].end 9378.27846875
transcript.pyannote[1758].speaker SPEAKER_12
transcript.pyannote[1758].start 9378.75096875
transcript.pyannote[1758].end 9380.80971875
transcript.pyannote[1759].speaker SPEAKER_12
transcript.pyannote[1759].start 9381.16409375
transcript.pyannote[1759].end 9383.12159375
transcript.pyannote[1760].speaker SPEAKER_12
transcript.pyannote[1760].start 9383.35784375
transcript.pyannote[1760].end 9384.72471875
transcript.pyannote[1761].speaker SPEAKER_12
transcript.pyannote[1761].start 9385.29846875
transcript.pyannote[1761].end 9387.59346875
transcript.pyannote[1762].speaker SPEAKER_12
transcript.pyannote[1762].start 9388.33596875
transcript.pyannote[1762].end 9390.36096875
transcript.pyannote[1763].speaker SPEAKER_12
transcript.pyannote[1763].start 9390.86721875
transcript.pyannote[1763].end 9392.25096875
transcript.pyannote[1764].speaker SPEAKER_12
transcript.pyannote[1764].start 9392.53784375
transcript.pyannote[1764].end 9394.36034375
transcript.pyannote[1765].speaker SPEAKER_12
transcript.pyannote[1765].start 9394.81596875
transcript.pyannote[1765].end 9395.77784375
transcript.pyannote[1766].speaker SPEAKER_12
transcript.pyannote[1766].start 9396.21659375
transcript.pyannote[1766].end 9399.89534375
transcript.pyannote[1767].speaker SPEAKER_12
transcript.pyannote[1767].start 9401.16096875
transcript.pyannote[1767].end 9404.38409375
transcript.pyannote[1768].speaker SPEAKER_12
transcript.pyannote[1768].start 9404.51909375
transcript.pyannote[1768].end 9406.27409375
transcript.pyannote[1769].speaker SPEAKER_12
transcript.pyannote[1769].start 9406.67909375
transcript.pyannote[1769].end 9407.10096875
transcript.pyannote[1770].speaker SPEAKER_12
transcript.pyannote[1770].start 9407.45534375
transcript.pyannote[1770].end 9411.40409375
transcript.pyannote[1771].speaker SPEAKER_12
transcript.pyannote[1771].start 9412.01159375
transcript.pyannote[1771].end 9423.01409375
transcript.pyannote[1772].speaker SPEAKER_12
transcript.pyannote[1772].start 9423.63846875
transcript.pyannote[1772].end 9426.49034375
transcript.pyannote[1773].speaker SPEAKER_12
transcript.pyannote[1773].start 9427.04721875
transcript.pyannote[1773].end 9428.61659375
transcript.pyannote[1774].speaker SPEAKER_12
transcript.pyannote[1774].start 9428.78534375
transcript.pyannote[1774].end 9431.35034375
transcript.pyannote[1775].speaker SPEAKER_12
transcript.pyannote[1775].start 9431.51909375
transcript.pyannote[1775].end 9434.70846875
transcript.pyannote[1776].speaker SPEAKER_30
transcript.pyannote[1776].start 9435.04596875
transcript.pyannote[1776].end 9480.33846875
transcript.pyannote[1777].speaker SPEAKER_12
transcript.pyannote[1777].start 9440.27721875
transcript.pyannote[1777].end 9440.80034375
transcript.pyannote[1778].speaker SPEAKER_29
transcript.pyannote[1778].start 9447.93846875
transcript.pyannote[1778].end 9448.39409375
transcript.pyannote[1779].speaker SPEAKER_31
transcript.pyannote[1779].start 9461.20221875
transcript.pyannote[1779].end 9461.50596875
transcript.pyannote[1780].speaker SPEAKER_12
transcript.pyannote[1780].start 9479.78159375
transcript.pyannote[1780].end 9482.71784375
transcript.pyannote[1781].speaker SPEAKER_30
transcript.pyannote[1781].start 9482.71784375
transcript.pyannote[1781].end 9483.10596875
transcript.pyannote[1782].speaker SPEAKER_12
transcript.pyannote[1782].start 9483.37596875
transcript.pyannote[1782].end 9489.48471875
transcript.pyannote[1783].speaker SPEAKER_35
transcript.pyannote[1783].start 9489.48471875
transcript.pyannote[1783].end 9489.73784375
transcript.pyannote[1784].speaker SPEAKER_12
transcript.pyannote[1784].start 9490.14284375
transcript.pyannote[1784].end 9492.65721875
transcript.pyannote[1785].speaker SPEAKER_12
transcript.pyannote[1785].start 9493.18034375
transcript.pyannote[1785].end 9493.87221875
transcript.pyannote[1786].speaker SPEAKER_12
transcript.pyannote[1786].start 9494.26034375
transcript.pyannote[1786].end 9494.81721875
transcript.pyannote[1787].speaker SPEAKER_12
transcript.pyannote[1787].start 9495.03659375
transcript.pyannote[1787].end 9498.52971875
transcript.pyannote[1788].speaker SPEAKER_30
transcript.pyannote[1788].start 9500.04846875
transcript.pyannote[1788].end 9517.02471875
transcript.pyannote[1789].speaker SPEAKER_29
transcript.pyannote[1789].start 9509.14409375
transcript.pyannote[1789].end 9510.71346875
transcript.pyannote[1790].speaker SPEAKER_12
transcript.pyannote[1790].start 9517.02471875
transcript.pyannote[1790].end 9520.46721875
transcript.pyannote[1791].speaker SPEAKER_32
transcript.pyannote[1791].start 9519.40409375
transcript.pyannote[1791].end 9519.84284375
transcript.pyannote[1792].speaker SPEAKER_30
transcript.pyannote[1792].start 9519.84284375
transcript.pyannote[1792].end 9519.91034375
transcript.pyannote[1793].speaker SPEAKER_12
transcript.pyannote[1793].start 9520.70346875
transcript.pyannote[1793].end 9523.77471875
transcript.pyannote[1794].speaker SPEAKER_12
transcript.pyannote[1794].start 9524.36534375
transcript.pyannote[1794].end 9527.52096875
transcript.pyannote[1795].speaker SPEAKER_30
transcript.pyannote[1795].start 9527.67284375
transcript.pyannote[1795].end 9528.29721875
transcript.pyannote[1796].speaker SPEAKER_12
transcript.pyannote[1796].start 9528.29721875
transcript.pyannote[1796].end 9533.81534375
transcript.pyannote[1797].speaker SPEAKER_30
transcript.pyannote[1797].start 9531.40221875
transcript.pyannote[1797].end 9531.92534375
transcript.pyannote[1798].speaker SPEAKER_12
transcript.pyannote[1798].start 9534.15284375
transcript.pyannote[1798].end 9534.67596875
transcript.pyannote[1799].speaker SPEAKER_12
transcript.pyannote[1799].start 9534.82784375
transcript.pyannote[1799].end 9544.90221875
transcript.pyannote[1800].speaker SPEAKER_12
transcript.pyannote[1800].start 9545.76284375
transcript.pyannote[1800].end 9548.68221875
transcript.pyannote[1801].speaker SPEAKER_30
transcript.pyannote[1801].start 9549.23909375
transcript.pyannote[1801].end 9576.42471875
transcript.pyannote[1802].speaker SPEAKER_12
transcript.pyannote[1802].start 9576.71159375
transcript.pyannote[1802].end 9584.57534375
transcript.pyannote[1803].speaker SPEAKER_31
transcript.pyannote[1803].start 9585.04784375
transcript.pyannote[1803].end 9585.45284375
transcript.pyannote[1804].speaker SPEAKER_12
transcript.pyannote[1804].start 9585.68909375
transcript.pyannote[1804].end 9595.57784375
transcript.pyannote[1805].speaker SPEAKER_30
transcript.pyannote[1805].start 9595.94909375
transcript.pyannote[1805].end 9596.52284375
transcript.pyannote[1806].speaker SPEAKER_12
transcript.pyannote[1806].start 9596.16846875
transcript.pyannote[1806].end 9597.46784375
transcript.pyannote[1807].speaker SPEAKER_30
transcript.pyannote[1807].start 9597.23159375
transcript.pyannote[1807].end 9597.97409375
transcript.pyannote[1808].speaker SPEAKER_12
transcript.pyannote[1808].start 9597.73784375
transcript.pyannote[1808].end 9605.36534375
transcript.pyannote[1809].speaker SPEAKER_30
transcript.pyannote[1809].start 9605.36534375
transcript.pyannote[1809].end 9607.87971875
transcript.pyannote[1810].speaker SPEAKER_12
transcript.pyannote[1810].start 9606.86721875
transcript.pyannote[1810].end 9612.21659375
transcript.pyannote[1811].speaker SPEAKER_30
transcript.pyannote[1811].start 9612.87471875
transcript.pyannote[1811].end 9616.48596875
transcript.pyannote[1812].speaker SPEAKER_30
transcript.pyannote[1812].start 9617.26221875
transcript.pyannote[1812].end 9622.78034375
transcript.pyannote[1813].speaker SPEAKER_12
transcript.pyannote[1813].start 9622.78034375
transcript.pyannote[1813].end 9624.97409375
transcript.pyannote[1814].speaker SPEAKER_30
transcript.pyannote[1814].start 9624.97409375
transcript.pyannote[1814].end 9625.64909375
transcript.pyannote[1815].speaker SPEAKER_12
transcript.pyannote[1815].start 9625.54784375
transcript.pyannote[1815].end 9626.96534375
transcript.pyannote[1816].speaker SPEAKER_30
transcript.pyannote[1816].start 9626.67846875
transcript.pyannote[1816].end 9627.08346875
transcript.pyannote[1817].speaker SPEAKER_12
transcript.pyannote[1817].start 9627.08346875
transcript.pyannote[1817].end 9630.50909375
transcript.pyannote[1818].speaker SPEAKER_30
transcript.pyannote[1818].start 9630.37409375
transcript.pyannote[1818].end 9630.84659375
transcript.pyannote[1819].speaker SPEAKER_12
transcript.pyannote[1819].start 9630.72846875
transcript.pyannote[1819].end 9635.04846875
transcript.pyannote[1820].speaker SPEAKER_30
transcript.pyannote[1820].start 9632.56784375
transcript.pyannote[1820].end 9633.64784375
transcript.pyannote[1821].speaker SPEAKER_30
transcript.pyannote[1821].start 9634.98096875
transcript.pyannote[1821].end 9635.94284375
transcript.pyannote[1822].speaker SPEAKER_12
transcript.pyannote[1822].start 9635.67284375
transcript.pyannote[1822].end 9637.29284375
transcript.pyannote[1823].speaker SPEAKER_30
transcript.pyannote[1823].start 9637.19159375
transcript.pyannote[1823].end 9637.66409375
transcript.pyannote[1824].speaker SPEAKER_12
transcript.pyannote[1824].start 9637.74846875
transcript.pyannote[1824].end 9653.27346875
transcript.pyannote[1825].speaker SPEAKER_30
transcript.pyannote[1825].start 9653.47596875
transcript.pyannote[1825].end 9667.73534375
transcript.pyannote[1826].speaker SPEAKER_12
transcript.pyannote[1826].start 9667.71846875
transcript.pyannote[1826].end 9668.07284375
transcript.pyannote[1827].speaker SPEAKER_30
transcript.pyannote[1827].start 9668.14034375
transcript.pyannote[1827].end 9668.39346875
transcript.pyannote[1828].speaker SPEAKER_12
transcript.pyannote[1828].start 9668.71409375
transcript.pyannote[1828].end 9669.86159375
transcript.pyannote[1829].speaker SPEAKER_12
transcript.pyannote[1829].start 9670.16534375
transcript.pyannote[1829].end 9671.66721875
transcript.pyannote[1830].speaker SPEAKER_12
transcript.pyannote[1830].start 9671.83596875
transcript.pyannote[1830].end 9672.32534375
transcript.pyannote[1831].speaker SPEAKER_12
transcript.pyannote[1831].start 9673.43909375
transcript.pyannote[1831].end 9685.48784375
transcript.pyannote[1832].speaker SPEAKER_12
transcript.pyannote[1832].start 9686.29784375
transcript.pyannote[1832].end 9688.89659375
transcript.pyannote[1833].speaker SPEAKER_30
transcript.pyannote[1833].start 9688.89659375
transcript.pyannote[1833].end 9698.81909375
transcript.pyannote[1834].speaker SPEAKER_12
transcript.pyannote[1834].start 9698.88659375
transcript.pyannote[1834].end 9700.72596875
transcript.pyannote[1835].speaker SPEAKER_30
transcript.pyannote[1835].start 9701.85659375
transcript.pyannote[1835].end 9704.37096875
transcript.pyannote[1836].speaker SPEAKER_12
transcript.pyannote[1836].start 9703.94909375
transcript.pyannote[1836].end 9705.09659375
transcript.pyannote[1837].speaker SPEAKER_25
transcript.pyannote[1837].start 9707.52659375
transcript.pyannote[1837].end 9708.01596875
transcript.pyannote[1838].speaker SPEAKER_30
transcript.pyannote[1838].start 9708.01596875
transcript.pyannote[1838].end 9708.11721875
transcript.pyannote[1839].speaker SPEAKER_25
transcript.pyannote[1839].start 9708.11721875
transcript.pyannote[1839].end 9710.24346875
transcript.pyannote[1840].speaker SPEAKER_30
transcript.pyannote[1840].start 9710.56409375
transcript.pyannote[1840].end 9723.45659375
transcript.pyannote[1841].speaker SPEAKER_12
transcript.pyannote[1841].start 9722.66346875
transcript.pyannote[1841].end 9730.78034375
transcript.pyannote[1842].speaker SPEAKER_30
transcript.pyannote[1842].start 9726.81471875
transcript.pyannote[1842].end 9727.16909375
transcript.pyannote[1843].speaker SPEAKER_31
transcript.pyannote[1843].start 9727.16909375
transcript.pyannote[1843].end 9727.21971875
transcript.pyannote[1844].speaker SPEAKER_30
transcript.pyannote[1844].start 9728.73846875
transcript.pyannote[1844].end 9729.22784375
transcript.pyannote[1845].speaker SPEAKER_31
transcript.pyannote[1845].start 9729.22784375
transcript.pyannote[1845].end 9729.24471875
transcript.pyannote[1846].speaker SPEAKER_30
transcript.pyannote[1846].start 9731.59034375
transcript.pyannote[1846].end 9741.12471875
transcript.pyannote[1847].speaker SPEAKER_12
transcript.pyannote[1847].start 9740.61846875
transcript.pyannote[1847].end 9744.34784375
transcript.pyannote[1848].speaker SPEAKER_12
transcript.pyannote[1848].start 9745.37721875
transcript.pyannote[1848].end 9748.19534375
transcript.pyannote[1849].speaker SPEAKER_12
transcript.pyannote[1849].start 9748.66784375
transcript.pyannote[1849].end 9750.65909375
transcript.pyannote[1850].speaker SPEAKER_30
transcript.pyannote[1850].start 9751.60409375
transcript.pyannote[1850].end 9753.49409375
transcript.pyannote[1851].speaker SPEAKER_12
transcript.pyannote[1851].start 9753.49409375
transcript.pyannote[1851].end 9755.51909375
transcript.pyannote[1852].speaker SPEAKER_30
transcript.pyannote[1852].start 9753.51096875
transcript.pyannote[1852].end 9753.64596875
transcript.pyannote[1853].speaker SPEAKER_12
transcript.pyannote[1853].start 9755.80596875
transcript.pyannote[1853].end 9759.01221875
transcript.pyannote[1854].speaker SPEAKER_12
transcript.pyannote[1854].start 9759.36659375
transcript.pyannote[1854].end 9762.18471875
transcript.pyannote[1855].speaker SPEAKER_12
transcript.pyannote[1855].start 9762.57284375
transcript.pyannote[1855].end 9769.32284375
transcript.pyannote[1856].speaker SPEAKER_30
transcript.pyannote[1856].start 9770.08221875
transcript.pyannote[1856].end 9776.57909375
transcript.pyannote[1857].speaker SPEAKER_12
transcript.pyannote[1857].start 9775.38096875
transcript.pyannote[1857].end 9776.19096875
transcript.pyannote[1858].speaker SPEAKER_12
transcript.pyannote[1858].start 9776.96721875
transcript.pyannote[1858].end 9781.69221875
transcript.pyannote[1859].speaker SPEAKER_30
transcript.pyannote[1859].start 9781.70909375
transcript.pyannote[1859].end 9782.16471875
transcript.pyannote[1860].speaker SPEAKER_12
transcript.pyannote[1860].start 9782.18159375
transcript.pyannote[1860].end 9786.75471875
transcript.pyannote[1861].speaker SPEAKER_30
transcript.pyannote[1861].start 9786.72096875
transcript.pyannote[1861].end 9786.73784375
transcript.pyannote[1862].speaker SPEAKER_30
transcript.pyannote[1862].start 9786.75471875
transcript.pyannote[1862].end 9787.19346875
transcript.pyannote[1863].speaker SPEAKER_12
transcript.pyannote[1863].start 9788.13846875
transcript.pyannote[1863].end 9790.21409375
transcript.pyannote[1864].speaker SPEAKER_12
transcript.pyannote[1864].start 9790.55159375
transcript.pyannote[1864].end 9793.96034375
transcript.pyannote[1865].speaker SPEAKER_12
transcript.pyannote[1865].start 9794.75346875
transcript.pyannote[1865].end 9796.60971875
transcript.pyannote[1866].speaker SPEAKER_12
transcript.pyannote[1866].start 9798.09471875
transcript.pyannote[1866].end 9800.54159375
transcript.pyannote[1867].speaker SPEAKER_12
transcript.pyannote[1867].start 9800.86221875
transcript.pyannote[1867].end 9802.16159375
transcript.pyannote[1868].speaker SPEAKER_12
transcript.pyannote[1868].start 9803.14034375
transcript.pyannote[1868].end 9804.72659375
transcript.pyannote[1869].speaker SPEAKER_12
transcript.pyannote[1869].start 9805.33409375
transcript.pyannote[1869].end 9806.83596875
transcript.pyannote[1870].speaker SPEAKER_12
transcript.pyannote[1870].start 9807.12284375
transcript.pyannote[1870].end 9808.23659375
transcript.pyannote[1871].speaker SPEAKER_12
transcript.pyannote[1871].start 9808.37159375
transcript.pyannote[1871].end 9809.56971875
transcript.pyannote[1872].speaker SPEAKER_12
transcript.pyannote[1872].start 9809.73846875
transcript.pyannote[1872].end 9811.45971875
transcript.pyannote[1873].speaker SPEAKER_30
transcript.pyannote[1873].start 9812.06721875
transcript.pyannote[1873].end 9839.60721875
transcript.pyannote[1874].speaker SPEAKER_12
transcript.pyannote[1874].start 9829.26284375
transcript.pyannote[1874].end 9829.63409375
transcript.pyannote[1875].speaker SPEAKER_12
transcript.pyannote[1875].start 9838.84784375
transcript.pyannote[1875].end 9843.25221875
transcript.pyannote[1876].speaker SPEAKER_12
transcript.pyannote[1876].start 9843.75846875
transcript.pyannote[1876].end 9848.63534375
transcript.pyannote[1877].speaker SPEAKER_12
transcript.pyannote[1877].start 9849.10784375
transcript.pyannote[1877].end 9849.12471875
transcript.pyannote[1878].speaker SPEAKER_30
transcript.pyannote[1878].start 9849.12471875
transcript.pyannote[1878].end 9849.85034375
transcript.pyannote[1879].speaker SPEAKER_12
transcript.pyannote[1879].start 9849.85034375
transcript.pyannote[1879].end 9849.96846875
transcript.pyannote[1880].speaker SPEAKER_30
transcript.pyannote[1880].start 9849.96846875
transcript.pyannote[1880].end 9859.87409375
transcript.pyannote[1881].speaker SPEAKER_12
transcript.pyannote[1881].start 9851.72346875
transcript.pyannote[1881].end 9851.97659375
transcript.pyannote[1882].speaker SPEAKER_12
transcript.pyannote[1882].start 9853.64721875
transcript.pyannote[1882].end 9854.30534375
transcript.pyannote[1883].speaker SPEAKER_12
transcript.pyannote[1883].start 9859.87409375
transcript.pyannote[1883].end 9865.56096875
transcript.pyannote[1884].speaker SPEAKER_12
transcript.pyannote[1884].start 9866.06721875
transcript.pyannote[1884].end 9867.60284375
transcript.pyannote[1885].speaker SPEAKER_12
transcript.pyannote[1885].start 9868.15971875
transcript.pyannote[1885].end 9875.61846875
transcript.pyannote[1886].speaker SPEAKER_12
transcript.pyannote[1886].start 9876.04034375
transcript.pyannote[1886].end 9876.86721875
transcript.pyannote[1887].speaker SPEAKER_12
transcript.pyannote[1887].start 9877.12034375
transcript.pyannote[1887].end 9878.65596875
transcript.pyannote[1888].speaker SPEAKER_12
transcript.pyannote[1888].start 9879.09471875
transcript.pyannote[1888].end 9879.58409375
transcript.pyannote[1889].speaker SPEAKER_12
transcript.pyannote[1889].start 9880.25909375
transcript.pyannote[1889].end 9889.42221875
transcript.pyannote[1890].speaker SPEAKER_12
transcript.pyannote[1890].start 9889.86096875
transcript.pyannote[1890].end 9893.77596875
transcript.pyannote[1891].speaker SPEAKER_12
transcript.pyannote[1891].start 9894.11346875
transcript.pyannote[1891].end 9898.09596875
transcript.pyannote[1892].speaker SPEAKER_30
transcript.pyannote[1892].start 9899.15909375
transcript.pyannote[1892].end 9914.27909375
transcript.pyannote[1893].speaker SPEAKER_12
transcript.pyannote[1893].start 9913.36784375
transcript.pyannote[1893].end 9918.16034375
transcript.pyannote[1894].speaker SPEAKER_12
transcript.pyannote[1894].start 9918.24471875
transcript.pyannote[1894].end 9918.78471875
transcript.pyannote[1895].speaker SPEAKER_12
transcript.pyannote[1895].start 9918.83534375
transcript.pyannote[1895].end 9919.51034375
transcript.pyannote[1896].speaker SPEAKER_12
transcript.pyannote[1896].start 9919.93221875
transcript.pyannote[1896].end 9921.31596875
transcript.pyannote[1897].speaker SPEAKER_12
transcript.pyannote[1897].start 9921.60284375
transcript.pyannote[1897].end 9922.76721875
transcript.pyannote[1898].speaker SPEAKER_12
transcript.pyannote[1898].start 9922.85159375
transcript.pyannote[1898].end 9929.38221875
transcript.pyannote[1899].speaker SPEAKER_31
transcript.pyannote[1899].start 9929.38221875
transcript.pyannote[1899].end 9929.80409375
transcript.pyannote[1900].speaker SPEAKER_12
transcript.pyannote[1900].start 9929.90534375
transcript.pyannote[1900].end 9932.41971875
transcript.pyannote[1901].speaker SPEAKER_12
transcript.pyannote[1901].start 9932.60534375
transcript.pyannote[1901].end 9933.98909375
transcript.pyannote[1902].speaker SPEAKER_12
transcript.pyannote[1902].start 9934.59659375
transcript.pyannote[1902].end 9935.86221875
transcript.pyannote[1903].speaker SPEAKER_12
transcript.pyannote[1903].start 9936.36846875
transcript.pyannote[1903].end 9937.56659375
transcript.pyannote[1904].speaker SPEAKER_12
transcript.pyannote[1904].start 9937.76909375
transcript.pyannote[1904].end 9940.03034375
transcript.pyannote[1905].speaker SPEAKER_12
transcript.pyannote[1905].start 9940.30034375
transcript.pyannote[1905].end 9942.89909375
transcript.pyannote[1906].speaker SPEAKER_12
transcript.pyannote[1906].start 9943.15221875
transcript.pyannote[1906].end 9950.30721875
transcript.pyannote[1907].speaker SPEAKER_12
transcript.pyannote[1907].start 9950.44221875
transcript.pyannote[1907].end 9965.22471875
transcript.pyannote[1908].speaker SPEAKER_30
transcript.pyannote[1908].start 9965.22471875
transcript.pyannote[1908].end 9965.78159375
transcript.pyannote[1909].speaker SPEAKER_12
transcript.pyannote[1909].start 9965.68034375
transcript.pyannote[1909].end 9970.64159375
transcript.pyannote[1910].speaker SPEAKER_30
transcript.pyannote[1910].start 9970.48971875
transcript.pyannote[1910].end 9971.67096875
transcript.pyannote[1911].speaker SPEAKER_12
transcript.pyannote[1911].start 9971.38409375
transcript.pyannote[1911].end 9972.97034375
transcript.pyannote[1912].speaker SPEAKER_26
transcript.pyannote[1912].start 9971.67096875
transcript.pyannote[1912].end 9971.68784375
transcript.pyannote[1913].speaker SPEAKER_26
transcript.pyannote[1913].start 9972.56534375
transcript.pyannote[1913].end 9972.58221875
transcript.pyannote[1914].speaker SPEAKER_30
transcript.pyannote[1914].start 9972.58221875
transcript.pyannote[1914].end 9973.56096875
transcript.pyannote[1915].speaker SPEAKER_26
transcript.pyannote[1915].start 9972.97034375
transcript.pyannote[1915].end 9977.47596875
transcript.pyannote[1916].speaker SPEAKER_26
transcript.pyannote[1916].start 9989.98034375
transcript.pyannote[1916].end 9990.01409375
transcript.pyannote[1917].speaker SPEAKER_26
transcript.pyannote[1917].start 9990.14909375
transcript.pyannote[1917].end 9990.21659375
transcript.pyannote[1918].speaker SPEAKER_26
transcript.pyannote[1918].start 9990.23346875
transcript.pyannote[1918].end 9990.25034375
transcript.pyannote[1919].speaker SPEAKER_13
transcript.pyannote[1919].start 9990.25034375
transcript.pyannote[1919].end 9992.07284375
transcript.pyannote[1920].speaker SPEAKER_26
transcript.pyannote[1920].start 9992.30909375
transcript.pyannote[1920].end 9992.62971875
transcript.pyannote[1921].speaker SPEAKER_26
transcript.pyannote[1921].start 9992.66346875
transcript.pyannote[1921].end 9993.67596875
transcript.pyannote[1922].speaker SPEAKER_26
transcript.pyannote[1922].start 9997.79346875
transcript.pyannote[1922].end 9997.81034375
transcript.pyannote[1923].speaker SPEAKER_13
transcript.pyannote[1923].start 9997.81034375
transcript.pyannote[1923].end 9998.38409375
transcript.pyannote[1924].speaker SPEAKER_13
transcript.pyannote[1924].start 9999.56534375
transcript.pyannote[1924].end 10006.29846875
transcript.pyannote[1925].speaker SPEAKER_35
transcript.pyannote[1925].start 10001.42159375
transcript.pyannote[1925].end 10002.19784375
transcript.pyannote[1926].speaker SPEAKER_35
transcript.pyannote[1926].start 10004.17221875
transcript.pyannote[1926].end 10005.16784375
transcript.pyannote[1927].speaker SPEAKER_35
transcript.pyannote[1927].start 10006.50096875
transcript.pyannote[1927].end 10006.88909375
transcript.pyannote[1928].speaker SPEAKER_13
transcript.pyannote[1928].start 10008.01971875
transcript.pyannote[1928].end 10010.11221875
transcript.pyannote[1929].speaker SPEAKER_13
transcript.pyannote[1929].start 10011.56346875
transcript.pyannote[1929].end 10013.38596875
transcript.pyannote[1930].speaker SPEAKER_13
transcript.pyannote[1930].start 10013.95971875
transcript.pyannote[1930].end 10016.52471875
transcript.pyannote[1931].speaker SPEAKER_13
transcript.pyannote[1931].start 10016.89596875
transcript.pyannote[1931].end 10024.28721875
transcript.pyannote[1932].speaker SPEAKER_13
transcript.pyannote[1932].start 10025.31659375
transcript.pyannote[1932].end 10027.89846875
transcript.pyannote[1933].speaker SPEAKER_35
transcript.pyannote[1933].start 10027.83096875
transcript.pyannote[1933].end 10028.15159375
transcript.pyannote[1934].speaker SPEAKER_13
transcript.pyannote[1934].start 10028.55659375
transcript.pyannote[1934].end 10030.22721875
transcript.pyannote[1935].speaker SPEAKER_35
transcript.pyannote[1935].start 10030.46346875
transcript.pyannote[1935].end 10030.54784375
transcript.pyannote[1936].speaker SPEAKER_13
transcript.pyannote[1936].start 10030.54784375
transcript.pyannote[1936].end 10031.50971875
transcript.pyannote[1937].speaker SPEAKER_13
transcript.pyannote[1937].start 10032.52221875
transcript.pyannote[1937].end 10033.92284375
transcript.pyannote[1938].speaker SPEAKER_13
transcript.pyannote[1938].start 10035.32346875
transcript.pyannote[1938].end 10037.83784375
transcript.pyannote[1939].speaker SPEAKER_35
transcript.pyannote[1939].start 10038.46221875
transcript.pyannote[1939].end 10038.56346875
transcript.pyannote[1940].speaker SPEAKER_13
transcript.pyannote[1940].start 10038.56346875
transcript.pyannote[1940].end 10039.84596875
transcript.pyannote[1941].speaker SPEAKER_35
transcript.pyannote[1941].start 10039.94721875
transcript.pyannote[1941].end 10040.03159375
transcript.pyannote[1942].speaker SPEAKER_27
transcript.pyannote[1942].start 10040.03159375
transcript.pyannote[1942].end 10040.90909375
transcript.pyannote[1943].speaker SPEAKER_13
transcript.pyannote[1943].start 10040.53784375
transcript.pyannote[1943].end 10041.95534375
transcript.pyannote[1944].speaker SPEAKER_35
transcript.pyannote[1944].start 10040.90909375
transcript.pyannote[1944].end 10041.04409375
transcript.pyannote[1945].speaker SPEAKER_13
transcript.pyannote[1945].start 10042.61346875
transcript.pyannote[1945].end 10043.60909375
transcript.pyannote[1946].speaker SPEAKER_13
transcript.pyannote[1946].start 10045.17846875
transcript.pyannote[1946].end 10046.41034375
transcript.pyannote[1947].speaker SPEAKER_13
transcript.pyannote[1947].start 10046.79846875
transcript.pyannote[1947].end 10048.13159375
transcript.pyannote[1948].speaker SPEAKER_13
transcript.pyannote[1948].start 10049.04284375
transcript.pyannote[1948].end 10053.10971875
transcript.pyannote[1949].speaker SPEAKER_13
transcript.pyannote[1949].start 10053.85221875
transcript.pyannote[1949].end 10054.25721875
transcript.pyannote[1950].speaker SPEAKER_13
transcript.pyannote[1950].start 10054.86471875
transcript.pyannote[1950].end 10058.20596875
transcript.pyannote[1951].speaker SPEAKER_13
transcript.pyannote[1951].start 10058.71221875
transcript.pyannote[1951].end 10062.52596875
transcript.pyannote[1952].speaker SPEAKER_13
transcript.pyannote[1952].start 10063.50471875
transcript.pyannote[1952].end 10065.85034375
transcript.pyannote[1953].speaker SPEAKER_13
transcript.pyannote[1953].start 10066.99784375
transcript.pyannote[1953].end 10069.81596875
transcript.pyannote[1954].speaker SPEAKER_13
transcript.pyannote[1954].start 10070.69346875
transcript.pyannote[1954].end 10072.65096875
transcript.pyannote[1955].speaker SPEAKER_13
transcript.pyannote[1955].start 10073.39346875
transcript.pyannote[1955].end 10075.16534375
transcript.pyannote[1956].speaker SPEAKER_35
transcript.pyannote[1956].start 10075.28346875
transcript.pyannote[1956].end 10075.70534375
transcript.pyannote[1957].speaker SPEAKER_13
transcript.pyannote[1957].start 10076.07659375
transcript.pyannote[1957].end 10081.59471875
transcript.pyannote[1958].speaker SPEAKER_13
transcript.pyannote[1958].start 10082.20221875
transcript.pyannote[1958].end 10085.15534375
transcript.pyannote[1959].speaker SPEAKER_13
transcript.pyannote[1959].start 10085.67846875
transcript.pyannote[1959].end 10086.62346875
transcript.pyannote[1960].speaker SPEAKER_13
transcript.pyannote[1960].start 10086.97784375
transcript.pyannote[1960].end 10088.86784375
transcript.pyannote[1961].speaker SPEAKER_13
transcript.pyannote[1961].start 10089.45846875
transcript.pyannote[1961].end 10092.51284375
transcript.pyannote[1962].speaker SPEAKER_13
transcript.pyannote[1962].start 10093.06971875
transcript.pyannote[1962].end 10093.55909375
transcript.pyannote[1963].speaker SPEAKER_13
transcript.pyannote[1963].start 10094.57159375
transcript.pyannote[1963].end 10095.19596875
transcript.pyannote[1964].speaker SPEAKER_13
transcript.pyannote[1964].start 10095.38159375
transcript.pyannote[1964].end 10097.49096875
transcript.pyannote[1965].speaker SPEAKER_13
transcript.pyannote[1965].start 10098.58784375
transcript.pyannote[1965].end 10111.14284375
transcript.pyannote[1966].speaker SPEAKER_13
transcript.pyannote[1966].start 10111.39596875
transcript.pyannote[1966].end 10113.08346875
transcript.pyannote[1967].speaker SPEAKER_13
transcript.pyannote[1967].start 10113.42096875
transcript.pyannote[1967].end 10114.70346875
transcript.pyannote[1968].speaker SPEAKER_13
transcript.pyannote[1968].start 10115.76659375
transcript.pyannote[1968].end 10116.55971875
transcript.pyannote[1969].speaker SPEAKER_13
transcript.pyannote[1969].start 10117.18409375
transcript.pyannote[1969].end 10117.67346875
transcript.pyannote[1970].speaker SPEAKER_13
transcript.pyannote[1970].start 10118.97284375
transcript.pyannote[1970].end 10119.73221875
transcript.pyannote[1971].speaker SPEAKER_13
transcript.pyannote[1971].start 10119.83346875
transcript.pyannote[1971].end 10120.86284375
transcript.pyannote[1972].speaker SPEAKER_13
transcript.pyannote[1972].start 10120.96409375
transcript.pyannote[1972].end 10120.99784375
transcript.pyannote[1973].speaker SPEAKER_13
transcript.pyannote[1973].start 10121.28471875
transcript.pyannote[1973].end 10125.90846875
transcript.pyannote[1974].speaker SPEAKER_13
transcript.pyannote[1974].start 10126.21221875
transcript.pyannote[1974].end 10129.63784375
transcript.pyannote[1975].speaker SPEAKER_13
transcript.pyannote[1975].start 10130.12721875
transcript.pyannote[1975].end 10130.51534375
transcript.pyannote[1976].speaker SPEAKER_13
transcript.pyannote[1976].start 10131.71346875
transcript.pyannote[1976].end 10133.65409375
transcript.pyannote[1977].speaker SPEAKER_13
transcript.pyannote[1977].start 10135.05471875
transcript.pyannote[1977].end 10135.59471875
transcript.pyannote[1978].speaker SPEAKER_13
transcript.pyannote[1978].start 10136.18534375
transcript.pyannote[1978].end 10136.82659375
transcript.pyannote[1979].speaker SPEAKER_13
transcript.pyannote[1979].start 10137.60284375
transcript.pyannote[1979].end 10138.61534375
transcript.pyannote[1980].speaker SPEAKER_13
transcript.pyannote[1980].start 10139.35784375
transcript.pyannote[1980].end 10140.04971875
transcript.pyannote[1981].speaker SPEAKER_13
transcript.pyannote[1981].start 10140.23534375
transcript.pyannote[1981].end 10142.14221875
transcript.pyannote[1982].speaker SPEAKER_13
transcript.pyannote[1982].start 10142.34471875
transcript.pyannote[1982].end 10144.94346875
transcript.pyannote[1983].speaker SPEAKER_13
transcript.pyannote[1983].start 10145.61846875
transcript.pyannote[1983].end 10146.37784375
transcript.pyannote[1984].speaker SPEAKER_13
transcript.pyannote[1984].start 10146.69846875
transcript.pyannote[1984].end 10152.62159375
transcript.pyannote[1985].speaker SPEAKER_13
transcript.pyannote[1985].start 10153.06034375
transcript.pyannote[1985].end 10153.26284375
transcript.pyannote[1986].speaker SPEAKER_13
transcript.pyannote[1986].start 10153.60034375
transcript.pyannote[1986].end 10157.38034375
transcript.pyannote[1987].speaker SPEAKER_13
transcript.pyannote[1987].start 10157.90346875
transcript.pyannote[1987].end 10159.10159375
transcript.pyannote[1988].speaker SPEAKER_13
transcript.pyannote[1988].start 10159.82721875
transcript.pyannote[1988].end 10170.74534375
transcript.pyannote[1989].speaker SPEAKER_13
transcript.pyannote[1989].start 10171.60596875
transcript.pyannote[1989].end 10175.77409375
transcript.pyannote[1990].speaker SPEAKER_13
transcript.pyannote[1990].start 10175.94284375
transcript.pyannote[1990].end 10176.95534375
transcript.pyannote[1991].speaker SPEAKER_13
transcript.pyannote[1991].start 10178.40659375
transcript.pyannote[1991].end 10179.55409375
transcript.pyannote[1992].speaker SPEAKER_13
transcript.pyannote[1992].start 10180.09409375
transcript.pyannote[1992].end 10182.89534375
transcript.pyannote[1993].speaker SPEAKER_13
transcript.pyannote[1993].start 10183.40159375
transcript.pyannote[1993].end 10184.75159375
transcript.pyannote[1994].speaker SPEAKER_13
transcript.pyannote[1994].start 10186.06784375
transcript.pyannote[1994].end 10187.65409375
transcript.pyannote[1995].speaker SPEAKER_13
transcript.pyannote[1995].start 10188.53159375
transcript.pyannote[1995].end 10194.10034375
transcript.pyannote[1996].speaker SPEAKER_13
transcript.pyannote[1996].start 10194.33659375
transcript.pyannote[1996].end 10194.75846875
transcript.pyannote[1997].speaker SPEAKER_13
transcript.pyannote[1997].start 10195.63596875
transcript.pyannote[1997].end 10198.99409375
transcript.pyannote[1998].speaker SPEAKER_13
transcript.pyannote[1998].start 10199.55096875
transcript.pyannote[1998].end 10201.27221875
transcript.pyannote[1999].speaker SPEAKER_13
transcript.pyannote[1999].start 10201.45784375
transcript.pyannote[1999].end 10203.02721875
transcript.pyannote[2000].speaker SPEAKER_13
transcript.pyannote[2000].start 10203.87096875
transcript.pyannote[2000].end 10205.18721875
transcript.pyannote[2001].speaker SPEAKER_13
transcript.pyannote[2001].start 10205.62596875
transcript.pyannote[2001].end 10207.21221875
transcript.pyannote[2002].speaker SPEAKER_13
transcript.pyannote[2002].start 10207.65096875
transcript.pyannote[2002].end 10211.83596875
transcript.pyannote[2003].speaker SPEAKER_13
transcript.pyannote[2003].start 10212.10596875
transcript.pyannote[2003].end 10212.79784375
transcript.pyannote[2004].speaker SPEAKER_13
transcript.pyannote[2004].start 10213.70909375
transcript.pyannote[2004].end 10215.05909375
transcript.pyannote[2005].speaker SPEAKER_13
transcript.pyannote[2005].start 10215.51471875
transcript.pyannote[2005].end 10216.02096875
transcript.pyannote[2006].speaker SPEAKER_13
transcript.pyannote[2006].start 10217.11784375
transcript.pyannote[2006].end 10217.91096875
transcript.pyannote[2007].speaker SPEAKER_13
transcript.pyannote[2007].start 10218.16409375
transcript.pyannote[2007].end 10219.10909375
transcript.pyannote[2008].speaker SPEAKER_13
transcript.pyannote[2008].start 10220.05409375
transcript.pyannote[2008].end 10223.27721875
transcript.pyannote[2009].speaker SPEAKER_13
transcript.pyannote[2009].start 10224.03659375
transcript.pyannote[2009].end 10235.56221875
transcript.pyannote[2010].speaker SPEAKER_13
transcript.pyannote[2010].start 10235.95034375
transcript.pyannote[2010].end 10239.35909375
transcript.pyannote[2011].speaker SPEAKER_13
transcript.pyannote[2011].start 10240.28721875
transcript.pyannote[2011].end 10240.62471875
transcript.pyannote[2012].speaker SPEAKER_13
transcript.pyannote[2012].start 10241.02971875
transcript.pyannote[2012].end 10242.95346875
transcript.pyannote[2013].speaker SPEAKER_13
transcript.pyannote[2013].start 10243.30784375
transcript.pyannote[2013].end 10244.15159375
transcript.pyannote[2014].speaker SPEAKER_13
transcript.pyannote[2014].start 10244.86034375
transcript.pyannote[2014].end 10256.52096875
transcript.pyannote[2015].speaker SPEAKER_13
transcript.pyannote[2015].start 10257.02721875
transcript.pyannote[2015].end 10257.88784375
transcript.pyannote[2016].speaker SPEAKER_13
transcript.pyannote[2016].start 10258.41096875
transcript.pyannote[2016].end 10259.40659375
transcript.pyannote[2017].speaker SPEAKER_13
transcript.pyannote[2017].start 10260.18284375
transcript.pyannote[2017].end 10263.35534375
transcript.pyannote[2018].speaker SPEAKER_13
transcript.pyannote[2018].start 10264.21596875
transcript.pyannote[2018].end 10265.75159375
transcript.pyannote[2019].speaker SPEAKER_13
transcript.pyannote[2019].start 10266.10596875
transcript.pyannote[2019].end 10273.04159375
transcript.pyannote[2020].speaker SPEAKER_13
transcript.pyannote[2020].start 10273.81784375
transcript.pyannote[2020].end 10278.20534375
transcript.pyannote[2021].speaker SPEAKER_13
transcript.pyannote[2021].start 10279.79159375
transcript.pyannote[2021].end 10284.73596875
transcript.pyannote[2022].speaker SPEAKER_13
transcript.pyannote[2022].start 10286.13659375
transcript.pyannote[2022].end 10286.92971875
transcript.pyannote[2023].speaker SPEAKER_13
transcript.pyannote[2023].start 10286.99721875
transcript.pyannote[2023].end 10290.38909375
transcript.pyannote[2024].speaker SPEAKER_13
transcript.pyannote[2024].start 10291.31721875
transcript.pyannote[2024].end 10291.67159375
transcript.pyannote[2025].speaker SPEAKER_13
transcript.pyannote[2025].start 10291.92471875
transcript.pyannote[2025].end 10293.27471875
transcript.pyannote[2026].speaker SPEAKER_13
transcript.pyannote[2026].start 10293.76409375
transcript.pyannote[2026].end 10295.01284375
transcript.pyannote[2027].speaker SPEAKER_13
transcript.pyannote[2027].start 10295.97471875
transcript.pyannote[2027].end 10307.17971875
transcript.pyannote[2028].speaker SPEAKER_13
transcript.pyannote[2028].start 10307.80409375
transcript.pyannote[2028].end 10310.52096875
transcript.pyannote[2029].speaker SPEAKER_13
transcript.pyannote[2029].start 10310.68971875
transcript.pyannote[2029].end 10318.41846875
transcript.pyannote[2030].speaker SPEAKER_13
transcript.pyannote[2030].start 10319.44784375
transcript.pyannote[2030].end 10322.46846875
transcript.pyannote[2031].speaker SPEAKER_13
transcript.pyannote[2031].start 10322.65409375
transcript.pyannote[2031].end 10338.26346875
transcript.pyannote[2032].speaker SPEAKER_13
transcript.pyannote[2032].start 10339.42784375
transcript.pyannote[2032].end 10340.06909375
transcript.pyannote[2033].speaker SPEAKER_13
transcript.pyannote[2033].start 10340.82846875
transcript.pyannote[2033].end 10347.19034375
transcript.pyannote[2034].speaker SPEAKER_13
transcript.pyannote[2034].start 10347.56159375
transcript.pyannote[2034].end 10349.51909375
transcript.pyannote[2035].speaker SPEAKER_13
transcript.pyannote[2035].start 10349.92409375
transcript.pyannote[2035].end 10359.00284375
transcript.pyannote[2036].speaker SPEAKER_13
transcript.pyannote[2036].start 10359.93096875
transcript.pyannote[2036].end 10364.18346875
transcript.pyannote[2037].speaker SPEAKER_13
transcript.pyannote[2037].start 10365.07784375
transcript.pyannote[2037].end 10365.61784375
transcript.pyannote[2038].speaker SPEAKER_13
transcript.pyannote[2038].start 10367.01846875
transcript.pyannote[2038].end 10368.09846875
transcript.pyannote[2039].speaker SPEAKER_13
transcript.pyannote[2039].start 10368.60471875
transcript.pyannote[2039].end 10369.71846875
transcript.pyannote[2040].speaker SPEAKER_13
transcript.pyannote[2040].start 10370.20784375
transcript.pyannote[2040].end 10375.65846875
transcript.pyannote[2041].speaker SPEAKER_13
transcript.pyannote[2041].start 10376.13096875
transcript.pyannote[2041].end 10378.74659375
transcript.pyannote[2042].speaker SPEAKER_13
transcript.pyannote[2042].start 10379.53971875
transcript.pyannote[2042].end 10381.21034375
transcript.pyannote[2043].speaker SPEAKER_13
transcript.pyannote[2043].start 10381.96971875
transcript.pyannote[2043].end 10389.83346875
transcript.pyannote[2044].speaker SPEAKER_31
transcript.pyannote[2044].start 10390.52534375
transcript.pyannote[2044].end 10390.54221875
transcript.pyannote[2045].speaker SPEAKER_27
transcript.pyannote[2045].start 10390.54221875
transcript.pyannote[2045].end 10391.06534375
transcript.pyannote[2046].speaker SPEAKER_13
transcript.pyannote[2046].start 10391.50409375
transcript.pyannote[2046].end 10393.52909375
transcript.pyannote[2047].speaker SPEAKER_13
transcript.pyannote[2047].start 10393.90034375
transcript.pyannote[2047].end 10398.50721875
transcript.pyannote[2048].speaker SPEAKER_13
transcript.pyannote[2048].start 10398.92909375
transcript.pyannote[2048].end 10402.45596875
transcript.pyannote[2049].speaker SPEAKER_13
transcript.pyannote[2049].start 10403.18159375
transcript.pyannote[2049].end 10404.05909375
transcript.pyannote[2050].speaker SPEAKER_13
transcript.pyannote[2050].start 10404.81846875
transcript.pyannote[2050].end 10408.41284375
transcript.pyannote[2051].speaker SPEAKER_13
transcript.pyannote[2051].start 10409.07096875
transcript.pyannote[2051].end 10413.39096875
transcript.pyannote[2052].speaker SPEAKER_13
transcript.pyannote[2052].start 10414.18409375
transcript.pyannote[2052].end 10424.35971875
transcript.pyannote[2053].speaker SPEAKER_13
transcript.pyannote[2053].start 10424.96721875
transcript.pyannote[2053].end 10428.19034375
transcript.pyannote[2054].speaker SPEAKER_30
transcript.pyannote[2054].start 10428.34221875
transcript.pyannote[2054].end 10466.37846875
transcript.pyannote[2055].speaker SPEAKER_13
transcript.pyannote[2055].start 10467.71159375
transcript.pyannote[2055].end 10478.22471875
transcript.pyannote[2056].speaker SPEAKER_30
transcript.pyannote[2056].start 10470.73221875
transcript.pyannote[2056].end 10472.16659375
transcript.pyannote[2057].speaker SPEAKER_30
transcript.pyannote[2057].start 10472.55471875
transcript.pyannote[2057].end 10473.56721875
transcript.pyannote[2058].speaker SPEAKER_31
transcript.pyannote[2058].start 10473.56721875
transcript.pyannote[2058].end 10473.61784375
transcript.pyannote[2059].speaker SPEAKER_13
transcript.pyannote[2059].start 10478.71409375
transcript.pyannote[2059].end 10480.19909375
transcript.pyannote[2060].speaker SPEAKER_31
transcript.pyannote[2060].start 10480.65471875
transcript.pyannote[2060].end 10481.36346875
transcript.pyannote[2061].speaker SPEAKER_13
transcript.pyannote[2061].start 10480.78971875
transcript.pyannote[2061].end 10480.84034375
transcript.pyannote[2062].speaker SPEAKER_13
transcript.pyannote[2062].start 10481.09346875
transcript.pyannote[2062].end 10491.70784375
transcript.pyannote[2063].speaker SPEAKER_30
transcript.pyannote[2063].start 10491.55596875
transcript.pyannote[2063].end 10492.36596875
transcript.pyannote[2064].speaker SPEAKER_13
transcript.pyannote[2064].start 10491.96096875
transcript.pyannote[2064].end 10493.95221875
transcript.pyannote[2065].speaker SPEAKER_30
transcript.pyannote[2065].start 10493.31096875
transcript.pyannote[2065].end 10499.43659375
transcript.pyannote[2066].speaker SPEAKER_13
transcript.pyannote[2066].start 10498.05284375
transcript.pyannote[2066].end 10510.89471875
transcript.pyannote[2067].speaker SPEAKER_31
transcript.pyannote[2067].start 10506.54096875
transcript.pyannote[2067].end 10507.33409375
transcript.pyannote[2068].speaker SPEAKER_31
transcript.pyannote[2068].start 10510.86096875
transcript.pyannote[2068].end 10510.87784375
transcript.pyannote[2069].speaker SPEAKER_31
transcript.pyannote[2069].start 10510.89471875
transcript.pyannote[2069].end 10511.24909375
transcript.pyannote[2070].speaker SPEAKER_13
transcript.pyannote[2070].start 10511.24909375
transcript.pyannote[2070].end 10513.64534375
transcript.pyannote[2071].speaker SPEAKER_31
transcript.pyannote[2071].start 10513.51034375
transcript.pyannote[2071].end 10514.23596875
transcript.pyannote[2072].speaker SPEAKER_13
transcript.pyannote[2072].start 10513.81409375
transcript.pyannote[2072].end 10517.02034375
transcript.pyannote[2073].speaker SPEAKER_13
transcript.pyannote[2073].start 10517.57721875
transcript.pyannote[2073].end 10520.17596875
transcript.pyannote[2074].speaker SPEAKER_13
transcript.pyannote[2074].start 10521.74534375
transcript.pyannote[2074].end 10522.25159375
transcript.pyannote[2075].speaker SPEAKER_13
transcript.pyannote[2075].start 10522.79159375
transcript.pyannote[2075].end 10545.13409375
transcript.pyannote[2076].speaker SPEAKER_00
transcript.pyannote[2076].start 10528.88346875
transcript.pyannote[2076].end 10529.05221875
transcript.pyannote[2077].speaker SPEAKER_06
transcript.pyannote[2077].start 10529.05221875
transcript.pyannote[2077].end 10529.15346875
transcript.pyannote[2078].speaker SPEAKER_00
transcript.pyannote[2078].start 10529.15346875
transcript.pyannote[2078].end 10529.22096875
transcript.pyannote[2079].speaker SPEAKER_13
transcript.pyannote[2079].start 10545.53909375
transcript.pyannote[2079].end 10569.61971875
transcript.pyannote[2080].speaker SPEAKER_13
transcript.pyannote[2080].start 10570.64909375
transcript.pyannote[2080].end 10575.59346875
transcript.pyannote[2081].speaker SPEAKER_13
transcript.pyannote[2081].start 10576.48784375
transcript.pyannote[2081].end 10588.31721875
transcript.pyannote[2082].speaker SPEAKER_13
transcript.pyannote[2082].start 10588.51971875
transcript.pyannote[2082].end 10590.03846875
transcript.pyannote[2083].speaker SPEAKER_13
transcript.pyannote[2083].start 10590.61221875
transcript.pyannote[2083].end 10591.50659375
transcript.pyannote[2084].speaker SPEAKER_13
transcript.pyannote[2084].start 10591.89471875
transcript.pyannote[2084].end 10607.14971875
transcript.pyannote[2085].speaker SPEAKER_13
transcript.pyannote[2085].start 10608.48284375
transcript.pyannote[2085].end 10610.71034375
transcript.pyannote[2086].speaker SPEAKER_13
transcript.pyannote[2086].start 10611.19971875
transcript.pyannote[2086].end 10617.00471875
transcript.pyannote[2087].speaker SPEAKER_13
transcript.pyannote[2087].start 10617.67971875
transcript.pyannote[2087].end 10617.81471875
transcript.pyannote[2088].speaker SPEAKER_13
transcript.pyannote[2088].start 10617.89909375
transcript.pyannote[2088].end 10623.90659375
transcript.pyannote[2089].speaker SPEAKER_30
transcript.pyannote[2089].start 10620.81846875
transcript.pyannote[2089].end 10621.49346875
transcript.pyannote[2090].speaker SPEAKER_30
transcript.pyannote[2090].start 10622.57346875
transcript.pyannote[2090].end 10638.75659375
transcript.pyannote[2091].speaker SPEAKER_13
transcript.pyannote[2091].start 10637.99721875
transcript.pyannote[2091].end 10644.47721875
transcript.pyannote[2092].speaker SPEAKER_30
transcript.pyannote[2092].start 10644.27471875
transcript.pyannote[2092].end 10650.92346875
transcript.pyannote[2093].speaker SPEAKER_13
transcript.pyannote[2093].start 10648.35846875
transcript.pyannote[2093].end 10650.04596875
transcript.pyannote[2094].speaker SPEAKER_13
transcript.pyannote[2094].start 10650.24846875
transcript.pyannote[2094].end 10655.14221875
transcript.pyannote[2095].speaker SPEAKER_30
transcript.pyannote[2095].start 10654.56846875
transcript.pyannote[2095].end 10655.59784375
transcript.pyannote[2096].speaker SPEAKER_13
transcript.pyannote[2096].start 10655.56409375
transcript.pyannote[2096].end 10660.89659375
transcript.pyannote[2097].speaker SPEAKER_30
transcript.pyannote[2097].start 10660.89659375
transcript.pyannote[2097].end 10675.12221875
transcript.pyannote[2098].speaker SPEAKER_30
transcript.pyannote[2098].start 10675.40909375
transcript.pyannote[2098].end 10675.64534375
transcript.pyannote[2099].speaker SPEAKER_31
transcript.pyannote[2099].start 10675.64534375
transcript.pyannote[2099].end 10675.83096875
transcript.pyannote[2100].speaker SPEAKER_13
transcript.pyannote[2100].start 10675.96596875
transcript.pyannote[2100].end 10680.99471875
transcript.pyannote[2101].speaker SPEAKER_30
transcript.pyannote[2101].start 10679.37471875
transcript.pyannote[2101].end 10682.53034375
transcript.pyannote[2102].speaker SPEAKER_30
transcript.pyannote[2102].start 10682.90159375
transcript.pyannote[2102].end 10683.81284375
transcript.pyannote[2103].speaker SPEAKER_13
transcript.pyannote[2103].start 10683.40784375
transcript.pyannote[2103].end 10718.03534375
transcript.pyannote[2104].speaker SPEAKER_30
transcript.pyannote[2104].start 10688.08221875
transcript.pyannote[2104].end 10688.36909375
transcript.pyannote[2105].speaker SPEAKER_30
transcript.pyannote[2105].start 10713.76596875
transcript.pyannote[2105].end 10716.41534375
transcript.pyannote[2106].speaker SPEAKER_13
transcript.pyannote[2106].start 10719.06471875
transcript.pyannote[2106].end 10726.05096875
transcript.pyannote[2107].speaker SPEAKER_29
transcript.pyannote[2107].start 10722.67596875
transcript.pyannote[2107].end 10722.69284375
transcript.pyannote[2108].speaker SPEAKER_33
transcript.pyannote[2108].start 10722.69284375
transcript.pyannote[2108].end 10722.70971875
transcript.pyannote[2109].speaker SPEAKER_26
transcript.pyannote[2109].start 10722.70971875
transcript.pyannote[2109].end 10724.17784375
transcript.pyannote[2110].speaker SPEAKER_13
transcript.pyannote[2110].start 10726.65846875
transcript.pyannote[2110].end 10728.02534375
transcript.pyannote[2111].speaker SPEAKER_26
transcript.pyannote[2111].start 10727.70471875
transcript.pyannote[2111].end 10728.51471875
transcript.pyannote[2112].speaker SPEAKER_31
transcript.pyannote[2112].start 10728.02534375
transcript.pyannote[2112].end 10729.37534375
transcript.pyannote[2113].speaker SPEAKER_13
transcript.pyannote[2113].start 10729.37534375
transcript.pyannote[2113].end 10729.39221875
transcript.pyannote[2114].speaker SPEAKER_26
transcript.pyannote[2114].start 10729.44284375
transcript.pyannote[2114].end 10733.72909375
transcript.pyannote[2115].speaker SPEAKER_07
transcript.pyannote[2115].start 10743.16221875
transcript.pyannote[2115].end 10746.16596875
transcript.pyannote[2116].speaker SPEAKER_07
transcript.pyannote[2116].start 10746.77346875
transcript.pyannote[2116].end 10747.34721875
transcript.pyannote[2117].speaker SPEAKER_26
transcript.pyannote[2117].start 10748.35971875
transcript.pyannote[2117].end 10749.22034375
transcript.pyannote[2118].speaker SPEAKER_07
transcript.pyannote[2118].start 10753.50659375
transcript.pyannote[2118].end 10754.13096875
transcript.pyannote[2119].speaker SPEAKER_29
transcript.pyannote[2119].start 10754.13096875
transcript.pyannote[2119].end 10754.60346875
transcript.pyannote[2120].speaker SPEAKER_07
transcript.pyannote[2120].start 10754.77221875
transcript.pyannote[2120].end 10755.12659375
transcript.pyannote[2121].speaker SPEAKER_07
transcript.pyannote[2121].start 10755.86909375
transcript.pyannote[2121].end 10756.30784375
transcript.pyannote[2122].speaker SPEAKER_07
transcript.pyannote[2122].start 10757.05034375
transcript.pyannote[2122].end 10759.00784375
transcript.pyannote[2123].speaker SPEAKER_07
transcript.pyannote[2123].start 10759.54784375
transcript.pyannote[2123].end 10760.71221875
transcript.pyannote[2124].speaker SPEAKER_07
transcript.pyannote[2124].start 10761.48846875
transcript.pyannote[2124].end 10762.99034375
transcript.pyannote[2125].speaker SPEAKER_07
transcript.pyannote[2125].start 10763.46284375
transcript.pyannote[2125].end 10769.25096875
transcript.pyannote[2126].speaker SPEAKER_07
transcript.pyannote[2126].start 10770.01034375
transcript.pyannote[2126].end 10774.70159375
transcript.pyannote[2127].speaker SPEAKER_07
transcript.pyannote[2127].start 10775.07284375
transcript.pyannote[2127].end 10778.44784375
transcript.pyannote[2128].speaker SPEAKER_30
transcript.pyannote[2128].start 10780.81034375
transcript.pyannote[2128].end 10782.43034375
transcript.pyannote[2129].speaker SPEAKER_07
transcript.pyannote[2129].start 10782.73409375
transcript.pyannote[2129].end 10782.86909375
transcript.pyannote[2130].speaker SPEAKER_30
transcript.pyannote[2130].start 10783.67909375
transcript.pyannote[2130].end 10788.42096875
transcript.pyannote[2131].speaker SPEAKER_07
transcript.pyannote[2131].start 10788.42096875
transcript.pyannote[2131].end 10788.84284375
transcript.pyannote[2132].speaker SPEAKER_07
transcript.pyannote[2132].start 10789.01159375
transcript.pyannote[2132].end 10790.22659375
transcript.pyannote[2133].speaker SPEAKER_07
transcript.pyannote[2133].start 10790.36159375
transcript.pyannote[2133].end 10792.33596875
transcript.pyannote[2134].speaker SPEAKER_07
transcript.pyannote[2134].start 10793.01096875
transcript.pyannote[2134].end 10793.61846875
transcript.pyannote[2135].speaker SPEAKER_07
transcript.pyannote[2135].start 10794.07409375
transcript.pyannote[2135].end 10794.63096875
transcript.pyannote[2136].speaker SPEAKER_07
transcript.pyannote[2136].start 10795.28909375
transcript.pyannote[2136].end 10796.03159375
transcript.pyannote[2137].speaker SPEAKER_07
transcript.pyannote[2137].start 10796.95971875
transcript.pyannote[2137].end 10797.68534375
transcript.pyannote[2138].speaker SPEAKER_07
transcript.pyannote[2138].start 10798.22534375
transcript.pyannote[2138].end 10798.79909375
transcript.pyannote[2139].speaker SPEAKER_07
transcript.pyannote[2139].start 10799.03534375
transcript.pyannote[2139].end 10799.82846875
transcript.pyannote[2140].speaker SPEAKER_07
transcript.pyannote[2140].start 10800.36846875
transcript.pyannote[2140].end 10800.97596875
transcript.pyannote[2141].speaker SPEAKER_07
transcript.pyannote[2141].start 10801.56659375
transcript.pyannote[2141].end 10802.76471875
transcript.pyannote[2142].speaker SPEAKER_07
transcript.pyannote[2142].start 10803.25409375
transcript.pyannote[2142].end 10804.53659375
transcript.pyannote[2143].speaker SPEAKER_07
transcript.pyannote[2143].start 10804.82346875
transcript.pyannote[2143].end 10805.56596875
transcript.pyannote[2144].speaker SPEAKER_07
transcript.pyannote[2144].start 10805.85284375
transcript.pyannote[2144].end 10815.84284375
transcript.pyannote[2145].speaker SPEAKER_07
transcript.pyannote[2145].start 10816.12971875
transcript.pyannote[2145].end 10818.05346875
transcript.pyannote[2146].speaker SPEAKER_07
transcript.pyannote[2146].start 10818.93096875
transcript.pyannote[2146].end 10819.52159375
transcript.pyannote[2147].speaker SPEAKER_07
transcript.pyannote[2147].start 10819.85909375
transcript.pyannote[2147].end 10821.47909375
transcript.pyannote[2148].speaker SPEAKER_07
transcript.pyannote[2148].start 10821.64784375
transcript.pyannote[2148].end 10822.52534375
transcript.pyannote[2149].speaker SPEAKER_07
transcript.pyannote[2149].start 10823.41971875
transcript.pyannote[2149].end 10825.37721875
transcript.pyannote[2150].speaker SPEAKER_07
transcript.pyannote[2150].start 10826.60909375
transcript.pyannote[2150].end 10827.53721875
transcript.pyannote[2151].speaker SPEAKER_07
transcript.pyannote[2151].start 10828.83659375
transcript.pyannote[2151].end 10829.54534375
transcript.pyannote[2152].speaker SPEAKER_07
transcript.pyannote[2152].start 10829.79846875
transcript.pyannote[2152].end 10830.25409375
transcript.pyannote[2153].speaker SPEAKER_07
transcript.pyannote[2153].start 10830.96284375
transcript.pyannote[2153].end 10831.92471875
transcript.pyannote[2154].speaker SPEAKER_07
transcript.pyannote[2154].start 10832.19471875
transcript.pyannote[2154].end 10833.96659375
transcript.pyannote[2155].speaker SPEAKER_30
transcript.pyannote[2155].start 10834.87784375
transcript.pyannote[2155].end 10839.16409375
transcript.pyannote[2156].speaker SPEAKER_07
transcript.pyannote[2156].start 10839.61971875
transcript.pyannote[2156].end 10840.46346875
transcript.pyannote[2157].speaker SPEAKER_07
transcript.pyannote[2157].start 10841.25659375
transcript.pyannote[2157].end 10842.69096875
transcript.pyannote[2158].speaker SPEAKER_30
transcript.pyannote[2158].start 10843.58534375
transcript.pyannote[2158].end 10846.15034375
transcript.pyannote[2159].speaker SPEAKER_30
transcript.pyannote[2159].start 10846.38659375
transcript.pyannote[2159].end 10858.04721875
transcript.pyannote[2160].speaker SPEAKER_07
transcript.pyannote[2160].start 10857.54096875
transcript.pyannote[2160].end 10859.56596875
transcript.pyannote[2161].speaker SPEAKER_07
transcript.pyannote[2161].start 10860.13971875
transcript.pyannote[2161].end 10861.67534375
transcript.pyannote[2162].speaker SPEAKER_07
transcript.pyannote[2162].start 10862.01284375
transcript.pyannote[2162].end 10863.32909375
transcript.pyannote[2163].speaker SPEAKER_07
transcript.pyannote[2163].start 10863.51471875
transcript.pyannote[2163].end 10864.51034375
transcript.pyannote[2164].speaker SPEAKER_07
transcript.pyannote[2164].start 10865.32034375
transcript.pyannote[2164].end 10866.01221875
transcript.pyannote[2165].speaker SPEAKER_07
transcript.pyannote[2165].start 10866.97409375
transcript.pyannote[2165].end 10867.98659375
transcript.pyannote[2166].speaker SPEAKER_07
transcript.pyannote[2166].start 10868.27346875
transcript.pyannote[2166].end 10869.26909375
transcript.pyannote[2167].speaker SPEAKER_07
transcript.pyannote[2167].start 10870.26471875
transcript.pyannote[2167].end 10871.05784375
transcript.pyannote[2168].speaker SPEAKER_07
transcript.pyannote[2168].start 10871.69909375
transcript.pyannote[2168].end 10874.06159375
transcript.pyannote[2169].speaker SPEAKER_07
transcript.pyannote[2169].start 10875.29346875
transcript.pyannote[2169].end 10875.86721875
transcript.pyannote[2170].speaker SPEAKER_07
transcript.pyannote[2170].start 10876.13721875
transcript.pyannote[2170].end 10877.30159375
transcript.pyannote[2171].speaker SPEAKER_35
transcript.pyannote[2171].start 10877.47034375
transcript.pyannote[2171].end 10877.82471875
transcript.pyannote[2172].speaker SPEAKER_07
transcript.pyannote[2172].start 10878.12846875
transcript.pyannote[2172].end 10878.58409375
transcript.pyannote[2173].speaker SPEAKER_07
transcript.pyannote[2173].start 10878.93846875
transcript.pyannote[2173].end 10879.78221875
transcript.pyannote[2174].speaker SPEAKER_07
transcript.pyannote[2174].start 10880.13659375
transcript.pyannote[2174].end 10880.62596875
transcript.pyannote[2175].speaker SPEAKER_07
transcript.pyannote[2175].start 10881.26721875
transcript.pyannote[2175].end 10882.58346875
transcript.pyannote[2176].speaker SPEAKER_07
transcript.pyannote[2176].start 10882.98846875
transcript.pyannote[2176].end 10884.00096875
transcript.pyannote[2177].speaker SPEAKER_35
transcript.pyannote[2177].start 10884.16971875
transcript.pyannote[2177].end 10884.52409375
transcript.pyannote[2178].speaker SPEAKER_07
transcript.pyannote[2178].start 10885.51971875
transcript.pyannote[2178].end 10886.54909375
transcript.pyannote[2179].speaker SPEAKER_07
transcript.pyannote[2179].start 10886.80221875
transcript.pyannote[2179].end 10888.05096875
transcript.pyannote[2180].speaker SPEAKER_07
transcript.pyannote[2180].start 10889.40096875
transcript.pyannote[2180].end 10890.24471875
transcript.pyannote[2181].speaker SPEAKER_07
transcript.pyannote[2181].start 10891.13909375
transcript.pyannote[2181].end 10891.49346875
transcript.pyannote[2182].speaker SPEAKER_07
transcript.pyannote[2182].start 10892.03346875
transcript.pyannote[2182].end 10892.91096875
transcript.pyannote[2183].speaker SPEAKER_07
transcript.pyannote[2183].start 10893.29909375
transcript.pyannote[2183].end 10895.12159375
transcript.pyannote[2184].speaker SPEAKER_07
transcript.pyannote[2184].start 10895.52659375
transcript.pyannote[2184].end 10897.04534375
transcript.pyannote[2185].speaker SPEAKER_07
transcript.pyannote[2185].start 10897.97346875
transcript.pyannote[2185].end 10898.74971875
transcript.pyannote[2186].speaker SPEAKER_30
transcript.pyannote[2186].start 10899.76221875
transcript.pyannote[2186].end 10900.79159375
transcript.pyannote[2187].speaker SPEAKER_30
transcript.pyannote[2187].start 10901.02784375
transcript.pyannote[2187].end 10902.09096875
transcript.pyannote[2188].speaker SPEAKER_30
transcript.pyannote[2188].start 10902.32721875
transcript.pyannote[2188].end 10902.78284375
transcript.pyannote[2189].speaker SPEAKER_30
transcript.pyannote[2189].start 10903.06971875
transcript.pyannote[2189].end 10904.57159375
transcript.pyannote[2190].speaker SPEAKER_35
transcript.pyannote[2190].start 10903.20471875
transcript.pyannote[2190].end 10903.67721875
transcript.pyannote[2191].speaker SPEAKER_35
transcript.pyannote[2191].start 10903.96409375
transcript.pyannote[2191].end 10904.25096875
transcript.pyannote[2192].speaker SPEAKER_30
transcript.pyannote[2192].start 10904.99346875
transcript.pyannote[2192].end 10905.01034375
transcript.pyannote[2193].speaker SPEAKER_35
transcript.pyannote[2193].start 10905.01034375
transcript.pyannote[2193].end 10905.02721875
transcript.pyannote[2194].speaker SPEAKER_30
transcript.pyannote[2194].start 10905.02721875
transcript.pyannote[2194].end 10905.41534375
transcript.pyannote[2195].speaker SPEAKER_35
transcript.pyannote[2195].start 10905.36471875
transcript.pyannote[2195].end 10907.03534375
transcript.pyannote[2196].speaker SPEAKER_35
transcript.pyannote[2196].start 10907.67659375
transcript.pyannote[2196].end 10907.69346875
transcript.pyannote[2197].speaker SPEAKER_07
transcript.pyannote[2197].start 10907.69346875
transcript.pyannote[2197].end 10908.38534375
transcript.pyannote[2198].speaker SPEAKER_30
transcript.pyannote[2198].start 10908.65534375
transcript.pyannote[2198].end 10909.76909375
transcript.pyannote[2199].speaker SPEAKER_07
transcript.pyannote[2199].start 10909.76909375
transcript.pyannote[2199].end 10909.78596875
transcript.pyannote[2200].speaker SPEAKER_07
transcript.pyannote[2200].start 10909.80284375
transcript.pyannote[2200].end 10910.15721875
transcript.pyannote[2201].speaker SPEAKER_30
transcript.pyannote[2201].start 10910.08971875
transcript.pyannote[2201].end 10910.88284375
transcript.pyannote[2202].speaker SPEAKER_07
transcript.pyannote[2202].start 10910.95034375
transcript.pyannote[2202].end 10916.40096875
transcript.pyannote[2203].speaker SPEAKER_30
transcript.pyannote[2203].start 10915.03409375
transcript.pyannote[2203].end 10915.91159375
transcript.pyannote[2204].speaker SPEAKER_07
transcript.pyannote[2204].start 10916.97471875
transcript.pyannote[2204].end 10917.29534375
transcript.pyannote[2205].speaker SPEAKER_07
transcript.pyannote[2205].start 10917.48096875
transcript.pyannote[2205].end 10918.72971875
transcript.pyannote[2206].speaker SPEAKER_07
transcript.pyannote[2206].start 10919.48909375
transcript.pyannote[2206].end 10920.36659375
transcript.pyannote[2207].speaker SPEAKER_07
transcript.pyannote[2207].start 10921.58159375
transcript.pyannote[2207].end 10922.64471875
transcript.pyannote[2208].speaker SPEAKER_07
transcript.pyannote[2208].start 10923.20159375
transcript.pyannote[2208].end 10923.65721875
transcript.pyannote[2209].speaker SPEAKER_07
transcript.pyannote[2209].start 10924.21409375
transcript.pyannote[2209].end 10924.78784375
transcript.pyannote[2210].speaker SPEAKER_07
transcript.pyannote[2210].start 10925.26034375
transcript.pyannote[2210].end 10926.01971875
transcript.pyannote[2211].speaker SPEAKER_07
transcript.pyannote[2211].start 10926.50909375
transcript.pyannote[2211].end 10927.87596875
transcript.pyannote[2212].speaker SPEAKER_07
transcript.pyannote[2212].start 10928.65221875
transcript.pyannote[2212].end 10929.00659375
transcript.pyannote[2213].speaker SPEAKER_07
transcript.pyannote[2213].start 10929.04034375
transcript.pyannote[2213].end 10929.64784375
transcript.pyannote[2214].speaker SPEAKER_07
transcript.pyannote[2214].start 10931.16659375
transcript.pyannote[2214].end 10932.19596875
transcript.pyannote[2215].speaker SPEAKER_28
transcript.pyannote[2215].start 10933.46159375
transcript.pyannote[2215].end 10933.47846875
transcript.pyannote[2216].speaker SPEAKER_31
transcript.pyannote[2216].start 10933.47846875
transcript.pyannote[2216].end 10933.49534375
transcript.pyannote[2217].speaker SPEAKER_30
transcript.pyannote[2217].start 10933.49534375
transcript.pyannote[2217].end 10933.64721875
transcript.pyannote[2218].speaker SPEAKER_07
transcript.pyannote[2218].start 10934.38971875
transcript.pyannote[2218].end 10934.94659375
transcript.pyannote[2219].speaker SPEAKER_07
transcript.pyannote[2219].start 10935.90846875
transcript.pyannote[2219].end 10937.20784375
transcript.pyannote[2220].speaker SPEAKER_07
transcript.pyannote[2220].start 10937.61284375
transcript.pyannote[2220].end 10938.42284375
transcript.pyannote[2221].speaker SPEAKER_30
transcript.pyannote[2221].start 10939.41846875
transcript.pyannote[2221].end 10940.14409375
transcript.pyannote[2222].speaker SPEAKER_07
transcript.pyannote[2222].start 10940.32971875
transcript.pyannote[2222].end 10941.73034375
transcript.pyannote[2223].speaker SPEAKER_07
transcript.pyannote[2223].start 10942.28721875
transcript.pyannote[2223].end 10943.13096875
transcript.pyannote[2224].speaker SPEAKER_07
transcript.pyannote[2224].start 10943.63721875
transcript.pyannote[2224].end 10944.83534375
transcript.pyannote[2225].speaker SPEAKER_30
transcript.pyannote[2225].start 10947.28221875
transcript.pyannote[2225].end 10971.26159375
transcript.pyannote[2226].speaker SPEAKER_07
transcript.pyannote[2226].start 10971.26159375
transcript.pyannote[2226].end 10976.64471875
transcript.pyannote[2227].speaker SPEAKER_30
transcript.pyannote[2227].start 10971.91971875
transcript.pyannote[2227].end 10972.44284375
transcript.pyannote[2228].speaker SPEAKER_07
transcript.pyannote[2228].start 10977.37034375
transcript.pyannote[2228].end 10978.43346875
transcript.pyannote[2229].speaker SPEAKER_07
transcript.pyannote[2229].start 10978.66971875
transcript.pyannote[2229].end 10981.45409375
transcript.pyannote[2230].speaker SPEAKER_07
transcript.pyannote[2230].start 10981.97721875
transcript.pyannote[2230].end 10983.64784375
transcript.pyannote[2231].speaker SPEAKER_07
transcript.pyannote[2231].start 10984.57596875
transcript.pyannote[2231].end 10985.92596875
transcript.pyannote[2232].speaker SPEAKER_07
transcript.pyannote[2232].start 10986.56721875
transcript.pyannote[2232].end 10987.79909375
transcript.pyannote[2233].speaker SPEAKER_07
transcript.pyannote[2233].start 10988.42346875
transcript.pyannote[2233].end 10992.16971875
transcript.pyannote[2234].speaker SPEAKER_07
transcript.pyannote[2234].start 10992.54096875
transcript.pyannote[2234].end 10993.97534375
transcript.pyannote[2235].speaker SPEAKER_07
transcript.pyannote[2235].start 10995.24096875
transcript.pyannote[2235].end 10996.38846875
transcript.pyannote[2236].speaker SPEAKER_30
transcript.pyannote[2236].start 10997.89034375
transcript.pyannote[2236].end 11007.61034375
transcript.pyannote[2237].speaker SPEAKER_07
transcript.pyannote[2237].start 11000.32034375
transcript.pyannote[2237].end 11001.48471875
transcript.pyannote[2238].speaker SPEAKER_07
transcript.pyannote[2238].start 11007.99846875
transcript.pyannote[2238].end 11010.47909375
transcript.pyannote[2239].speaker SPEAKER_30
transcript.pyannote[2239].start 11011.15409375
transcript.pyannote[2239].end 11013.34784375
transcript.pyannote[2240].speaker SPEAKER_34
transcript.pyannote[2240].start 11013.34784375
transcript.pyannote[2240].end 11017.16159375
transcript.pyannote[2241].speaker SPEAKER_30
transcript.pyannote[2241].start 11018.02221875
transcript.pyannote[2241].end 11021.88659375
transcript.pyannote[2242].speaker SPEAKER_07
transcript.pyannote[2242].start 11021.88659375
transcript.pyannote[2242].end 11024.75534375
transcript.pyannote[2243].speaker SPEAKER_07
transcript.pyannote[2243].start 11025.29534375
transcript.pyannote[2243].end 11026.32471875
transcript.pyannote[2244].speaker SPEAKER_07
transcript.pyannote[2244].start 11027.64096875
transcript.pyannote[2244].end 11029.88534375
transcript.pyannote[2245].speaker SPEAKER_07
transcript.pyannote[2245].start 11031.52221875
transcript.pyannote[2245].end 11032.45034375
transcript.pyannote[2246].speaker SPEAKER_07
transcript.pyannote[2246].start 11033.17596875
transcript.pyannote[2246].end 11035.04909375
transcript.pyannote[2247].speaker SPEAKER_07
transcript.pyannote[2247].start 11035.85909375
transcript.pyannote[2247].end 11037.02346875
transcript.pyannote[2248].speaker SPEAKER_20
transcript.pyannote[2248].start 11035.85909375
transcript.pyannote[2248].end 11038.18784375
transcript.pyannote[2249].speaker SPEAKER_07
transcript.pyannote[2249].start 11037.22596875
transcript.pyannote[2249].end 11038.49159375
transcript.pyannote[2250].speaker SPEAKER_07
transcript.pyannote[2250].start 11038.55909375
transcript.pyannote[2250].end 11039.72346875
transcript.pyannote[2251].speaker SPEAKER_07
transcript.pyannote[2251].start 11040.21284375
transcript.pyannote[2251].end 11041.27596875
transcript.pyannote[2252].speaker SPEAKER_07
transcript.pyannote[2252].start 11041.30971875
transcript.pyannote[2252].end 11042.86221875
transcript.pyannote[2253].speaker SPEAKER_07
transcript.pyannote[2253].start 11043.63846875
transcript.pyannote[2253].end 11044.51596875
transcript.pyannote[2254].speaker SPEAKER_07
transcript.pyannote[2254].start 11045.12346875
transcript.pyannote[2254].end 11049.93284375
transcript.pyannote[2255].speaker SPEAKER_07
transcript.pyannote[2255].start 11050.92846875
transcript.pyannote[2255].end 11051.78909375
transcript.pyannote[2256].speaker SPEAKER_07
transcript.pyannote[2256].start 11052.05909375
transcript.pyannote[2256].end 11053.29096875
transcript.pyannote[2257].speaker SPEAKER_07
transcript.pyannote[2257].start 11053.83096875
transcript.pyannote[2257].end 11054.30346875
transcript.pyannote[2258].speaker SPEAKER_07
transcript.pyannote[2258].start 11055.87284375
transcript.pyannote[2258].end 11057.05409375
transcript.pyannote[2259].speaker SPEAKER_07
transcript.pyannote[2259].start 11058.08346875
transcript.pyannote[2259].end 11058.97784375
transcript.pyannote[2260].speaker SPEAKER_07
transcript.pyannote[2260].start 11059.68659375
transcript.pyannote[2260].end 11061.50909375
transcript.pyannote[2261].speaker SPEAKER_30
transcript.pyannote[2261].start 11062.80846875
transcript.pyannote[2261].end 11066.77409375
transcript.pyannote[2262].speaker SPEAKER_07
transcript.pyannote[2262].start 11067.29721875
transcript.pyannote[2262].end 11068.15784375
transcript.pyannote[2263].speaker SPEAKER_30
transcript.pyannote[2263].start 11067.76971875
transcript.pyannote[2263].end 11070.46971875
transcript.pyannote[2264].speaker SPEAKER_07
transcript.pyannote[2264].start 11069.06909375
transcript.pyannote[2264].end 11073.10221875
transcript.pyannote[2265].speaker SPEAKER_07
transcript.pyannote[2265].start 11074.97534375
transcript.pyannote[2265].end 11075.73471875
transcript.pyannote[2266].speaker SPEAKER_07
transcript.pyannote[2266].start 11076.34221875
transcript.pyannote[2266].end 11078.24909375
transcript.pyannote[2267].speaker SPEAKER_07
transcript.pyannote[2267].start 11079.10971875
transcript.pyannote[2267].end 11081.77596875
transcript.pyannote[2268].speaker SPEAKER_07
transcript.pyannote[2268].start 11082.53534375
transcript.pyannote[2268].end 11083.83471875
transcript.pyannote[2269].speaker SPEAKER_07
transcript.pyannote[2269].start 11085.11721875
transcript.pyannote[2269].end 11085.64034375
transcript.pyannote[2270].speaker SPEAKER_07
transcript.pyannote[2270].start 11085.97784375
transcript.pyannote[2270].end 11086.75409375
transcript.pyannote[2271].speaker SPEAKER_07
transcript.pyannote[2271].start 11086.85534375
transcript.pyannote[2271].end 11088.00284375
transcript.pyannote[2272].speaker SPEAKER_30
transcript.pyannote[2272].start 11088.77909375
transcript.pyannote[2272].end 11090.77034375
transcript.pyannote[2273].speaker SPEAKER_07
transcript.pyannote[2273].start 11092.47471875
transcript.pyannote[2273].end 11092.99784375
transcript.pyannote[2274].speaker SPEAKER_07
transcript.pyannote[2274].start 11094.01034375
transcript.pyannote[2274].end 11094.49971875
transcript.pyannote[2275].speaker SPEAKER_30
transcript.pyannote[2275].start 11094.63471875
transcript.pyannote[2275].end 11094.66846875
transcript.pyannote[2276].speaker SPEAKER_35
transcript.pyannote[2276].start 11094.66846875
transcript.pyannote[2276].end 11094.92159375
transcript.pyannote[2277].speaker SPEAKER_07
transcript.pyannote[2277].start 11095.76534375
transcript.pyannote[2277].end 11096.37284375
transcript.pyannote[2278].speaker SPEAKER_07
transcript.pyannote[2278].start 11097.09846875
transcript.pyannote[2278].end 11098.14471875
transcript.pyannote[2279].speaker SPEAKER_35
transcript.pyannote[2279].start 11098.24596875
transcript.pyannote[2279].end 11098.34721875
transcript.pyannote[2280].speaker SPEAKER_31
transcript.pyannote[2280].start 11098.34721875
transcript.pyannote[2280].end 11098.58346875
transcript.pyannote[2281].speaker SPEAKER_07
transcript.pyannote[2281].start 11099.46096875
transcript.pyannote[2281].end 11101.65471875
transcript.pyannote[2282].speaker SPEAKER_07
transcript.pyannote[2282].start 11102.38034375
transcript.pyannote[2282].end 11103.29159375
transcript.pyannote[2283].speaker SPEAKER_07
transcript.pyannote[2283].start 11103.86534375
transcript.pyannote[2283].end 11105.19846875
transcript.pyannote[2284].speaker SPEAKER_07
transcript.pyannote[2284].start 11105.63721875
transcript.pyannote[2284].end 11108.72534375
transcript.pyannote[2285].speaker SPEAKER_07
transcript.pyannote[2285].start 11109.99096875
transcript.pyannote[2285].end 11111.49284375
transcript.pyannote[2286].speaker SPEAKER_07
transcript.pyannote[2286].start 11111.77971875
transcript.pyannote[2286].end 11113.19721875
transcript.pyannote[2287].speaker SPEAKER_35
transcript.pyannote[2287].start 11113.21409375
transcript.pyannote[2287].end 11113.58534375
transcript.pyannote[2288].speaker SPEAKER_07
transcript.pyannote[2288].start 11114.29409375
transcript.pyannote[2288].end 11114.78346875
transcript.pyannote[2289].speaker SPEAKER_07
transcript.pyannote[2289].start 11115.35721875
transcript.pyannote[2289].end 11116.92659375
transcript.pyannote[2290].speaker SPEAKER_07
transcript.pyannote[2290].start 11118.73221875
transcript.pyannote[2290].end 11120.03159375
transcript.pyannote[2291].speaker SPEAKER_07
transcript.pyannote[2291].start 11120.55471875
transcript.pyannote[2291].end 11122.12409375
transcript.pyannote[2292].speaker SPEAKER_07
transcript.pyannote[2292].start 11122.81596875
transcript.pyannote[2292].end 11124.92534375
transcript.pyannote[2293].speaker SPEAKER_07
transcript.pyannote[2293].start 11125.24596875
transcript.pyannote[2293].end 11127.13596875
transcript.pyannote[2294].speaker SPEAKER_07
transcript.pyannote[2294].start 11128.63784375
transcript.pyannote[2294].end 11129.66721875
transcript.pyannote[2295].speaker SPEAKER_07
transcript.pyannote[2295].start 11131.28721875
transcript.pyannote[2295].end 11133.26159375
transcript.pyannote[2296].speaker SPEAKER_07
transcript.pyannote[2296].start 11134.89846875
transcript.pyannote[2296].end 11135.84346875
transcript.pyannote[2297].speaker SPEAKER_07
transcript.pyannote[2297].start 11136.61971875
transcript.pyannote[2297].end 11137.10909375
transcript.pyannote[2298].speaker SPEAKER_07
transcript.pyannote[2298].start 11137.24409375
transcript.pyannote[2298].end 11138.52659375
transcript.pyannote[2299].speaker SPEAKER_35
transcript.pyannote[2299].start 11138.66159375
transcript.pyannote[2299].end 11139.16784375
transcript.pyannote[2300].speaker SPEAKER_07
transcript.pyannote[2300].start 11139.96096875
transcript.pyannote[2300].end 11140.48409375
transcript.pyannote[2301].speaker SPEAKER_35
transcript.pyannote[2301].start 11140.70346875
transcript.pyannote[2301].end 11140.72034375
transcript.pyannote[2302].speaker SPEAKER_29
transcript.pyannote[2302].start 11140.72034375
transcript.pyannote[2302].end 11140.99034375
transcript.pyannote[2303].speaker SPEAKER_07
transcript.pyannote[2303].start 11141.46284375
transcript.pyannote[2303].end 11142.66096875
transcript.pyannote[2304].speaker SPEAKER_29
transcript.pyannote[2304].start 11143.63971875
transcript.pyannote[2304].end 11143.65659375
transcript.pyannote[2305].speaker SPEAKER_30
transcript.pyannote[2305].start 11143.65659375
transcript.pyannote[2305].end 11144.06159375
transcript.pyannote[2306].speaker SPEAKER_07
transcript.pyannote[2306].start 11144.85471875
transcript.pyannote[2306].end 11145.44534375
transcript.pyannote[2307].speaker SPEAKER_07
transcript.pyannote[2307].start 11146.33971875
transcript.pyannote[2307].end 11148.71909375
transcript.pyannote[2308].speaker SPEAKER_30
transcript.pyannote[2308].start 11149.81596875
transcript.pyannote[2308].end 11151.14909375
transcript.pyannote[2309].speaker SPEAKER_07
transcript.pyannote[2309].start 11152.48221875
transcript.pyannote[2309].end 11154.00096875
transcript.pyannote[2310].speaker SPEAKER_07
transcript.pyannote[2310].start 11155.77284375
transcript.pyannote[2310].end 11156.27909375
transcript.pyannote[2311].speaker SPEAKER_07
transcript.pyannote[2311].start 11157.51096875
transcript.pyannote[2311].end 11159.28284375
transcript.pyannote[2312].speaker SPEAKER_07
transcript.pyannote[2312].start 11159.65409375
transcript.pyannote[2312].end 11160.29534375
transcript.pyannote[2313].speaker SPEAKER_07
transcript.pyannote[2313].start 11161.34159375
transcript.pyannote[2313].end 11162.59034375
transcript.pyannote[2314].speaker SPEAKER_07
transcript.pyannote[2314].start 11163.33284375
transcript.pyannote[2314].end 11163.99096875
transcript.pyannote[2315].speaker SPEAKER_07
transcript.pyannote[2315].start 11165.15534375
transcript.pyannote[2315].end 11166.62346875
transcript.pyannote[2316].speaker SPEAKER_07
transcript.pyannote[2316].start 11169.15471875
transcript.pyannote[2316].end 11170.67346875
transcript.pyannote[2317].speaker SPEAKER_07
transcript.pyannote[2317].start 11172.24284375
transcript.pyannote[2317].end 11172.93471875
transcript.pyannote[2318].speaker SPEAKER_07
transcript.pyannote[2318].start 11173.05284375
transcript.pyannote[2318].end 11174.11596875
transcript.pyannote[2319].speaker SPEAKER_07
transcript.pyannote[2319].start 11176.27596875
transcript.pyannote[2319].end 11177.11971875
transcript.pyannote[2320].speaker SPEAKER_07
transcript.pyannote[2320].start 11179.56659375
transcript.pyannote[2320].end 11180.10659375
transcript.pyannote[2321].speaker SPEAKER_07
transcript.pyannote[2321].start 11180.86596875
transcript.pyannote[2321].end 11181.35534375
transcript.pyannote[2322].speaker SPEAKER_07
transcript.pyannote[2322].start 11181.69284375
transcript.pyannote[2322].end 11182.70534375
transcript.pyannote[2323].speaker SPEAKER_07
transcript.pyannote[2323].start 11183.61659375
transcript.pyannote[2323].end 11185.13534375
transcript.pyannote[2324].speaker SPEAKER_07
transcript.pyannote[2324].start 11186.77221875
transcript.pyannote[2324].end 11189.48909375
transcript.pyannote[2325].speaker SPEAKER_07
transcript.pyannote[2325].start 11190.33284375
transcript.pyannote[2325].end 11192.32409375
transcript.pyannote[2326].speaker SPEAKER_07
transcript.pyannote[2326].start 11193.31971875
transcript.pyannote[2326].end 11193.87659375
transcript.pyannote[2327].speaker SPEAKER_07
transcript.pyannote[2327].start 11194.66971875
transcript.pyannote[2327].end 11197.38659375
transcript.pyannote[2328].speaker SPEAKER_07
transcript.pyannote[2328].start 11197.55534375
transcript.pyannote[2328].end 11199.68159375
transcript.pyannote[2329].speaker SPEAKER_07
transcript.pyannote[2329].start 11200.32284375
transcript.pyannote[2329].end 11201.94284375
transcript.pyannote[2330].speaker SPEAKER_07
transcript.pyannote[2330].start 11202.97221875
transcript.pyannote[2330].end 11203.95096875
transcript.pyannote[2331].speaker SPEAKER_07
transcript.pyannote[2331].start 11204.86221875
transcript.pyannote[2331].end 11205.68909375
transcript.pyannote[2332].speaker SPEAKER_07
transcript.pyannote[2332].start 11206.36409375
transcript.pyannote[2332].end 11207.08971875
transcript.pyannote[2333].speaker SPEAKER_07
transcript.pyannote[2333].start 11207.54534375
transcript.pyannote[2333].end 11208.43971875
transcript.pyannote[2334].speaker SPEAKER_07
transcript.pyannote[2334].start 11209.90784375
transcript.pyannote[2334].end 11210.56596875
transcript.pyannote[2335].speaker SPEAKER_07
transcript.pyannote[2335].start 11211.62909375
transcript.pyannote[2335].end 11212.47284375
transcript.pyannote[2336].speaker SPEAKER_30
transcript.pyannote[2336].start 11213.87346875
transcript.pyannote[2336].end 11216.10096875
transcript.pyannote[2337].speaker SPEAKER_30
transcript.pyannote[2337].start 11216.32034375
transcript.pyannote[2337].end 11216.42159375
transcript.pyannote[2338].speaker SPEAKER_07
transcript.pyannote[2338].start 11216.42159375
transcript.pyannote[2338].end 11217.29909375
transcript.pyannote[2339].speaker SPEAKER_07
transcript.pyannote[2339].start 11219.59409375
transcript.pyannote[2339].end 11220.06659375
transcript.pyannote[2340].speaker SPEAKER_07
transcript.pyannote[2340].start 11221.28159375
transcript.pyannote[2340].end 11221.88909375
transcript.pyannote[2341].speaker SPEAKER_07
transcript.pyannote[2341].start 11222.46284375
transcript.pyannote[2341].end 11223.10409375
transcript.pyannote[2342].speaker SPEAKER_07
transcript.pyannote[2342].start 11224.16721875
transcript.pyannote[2342].end 11225.36534375
transcript.pyannote[2343].speaker SPEAKER_07
transcript.pyannote[2343].start 11226.04034375
transcript.pyannote[2343].end 11227.33971875
transcript.pyannote[2344].speaker SPEAKER_07
transcript.pyannote[2344].start 11228.08221875
transcript.pyannote[2344].end 11229.44909375
transcript.pyannote[2345].speaker SPEAKER_07
transcript.pyannote[2345].start 11229.80346875
transcript.pyannote[2345].end 11231.32221875
transcript.pyannote[2346].speaker SPEAKER_07
transcript.pyannote[2346].start 11232.46971875
transcript.pyannote[2346].end 11235.45659375
transcript.pyannote[2347].speaker SPEAKER_07
transcript.pyannote[2347].start 11236.01346875
transcript.pyannote[2347].end 11237.07659375
transcript.pyannote[2348].speaker SPEAKER_07
transcript.pyannote[2348].start 11238.29159375
transcript.pyannote[2348].end 11239.03409375
transcript.pyannote[2349].speaker SPEAKER_07
transcript.pyannote[2349].start 11239.99596875
transcript.pyannote[2349].end 11240.45159375
transcript.pyannote[2350].speaker SPEAKER_07
transcript.pyannote[2350].start 11240.97471875
transcript.pyannote[2350].end 11241.68346875
transcript.pyannote[2351].speaker SPEAKER_07
transcript.pyannote[2351].start 11243.28659375
transcript.pyannote[2351].end 11244.24846875
transcript.pyannote[2352].speaker SPEAKER_07
transcript.pyannote[2352].start 11244.50159375
transcript.pyannote[2352].end 11245.07534375
transcript.pyannote[2353].speaker SPEAKER_07
transcript.pyannote[2353].start 11245.95284375
transcript.pyannote[2353].end 11246.42534375
transcript.pyannote[2354].speaker SPEAKER_07
transcript.pyannote[2354].start 11247.21846875
transcript.pyannote[2354].end 11248.12971875
transcript.pyannote[2355].speaker SPEAKER_07
transcript.pyannote[2355].start 11248.85534375
transcript.pyannote[2355].end 11250.99846875
transcript.pyannote[2356].speaker SPEAKER_07
transcript.pyannote[2356].start 11252.68596875
transcript.pyannote[2356].end 11253.85034375
transcript.pyannote[2357].speaker SPEAKER_07
transcript.pyannote[2357].start 11255.41971875
transcript.pyannote[2357].end 11257.90034375
transcript.pyannote[2358].speaker SPEAKER_31
transcript.pyannote[2358].start 11258.05221875
transcript.pyannote[2358].end 11258.08596875
transcript.pyannote[2359].speaker SPEAKER_35
transcript.pyannote[2359].start 11258.08596875
transcript.pyannote[2359].end 11258.10284375
transcript.pyannote[2360].speaker SPEAKER_31
transcript.pyannote[2360].start 11258.10284375
transcript.pyannote[2360].end 11258.37284375
transcript.pyannote[2361].speaker SPEAKER_07
transcript.pyannote[2361].start 11258.76096875
transcript.pyannote[2361].end 11259.13221875
transcript.pyannote[2362].speaker SPEAKER_07
transcript.pyannote[2362].start 11259.80721875
transcript.pyannote[2362].end 11260.95471875
transcript.pyannote[2363].speaker SPEAKER_07
transcript.pyannote[2363].start 11261.41034375
transcript.pyannote[2363].end 11262.65909375
transcript.pyannote[2364].speaker SPEAKER_07
transcript.pyannote[2364].start 11263.60409375
transcript.pyannote[2364].end 11264.56596875
transcript.pyannote[2365].speaker SPEAKER_07
transcript.pyannote[2365].start 11264.83596875
transcript.pyannote[2365].end 11266.28721875
transcript.pyannote[2366].speaker SPEAKER_07
transcript.pyannote[2366].start 11266.64159375
transcript.pyannote[2366].end 11267.51909375
transcript.pyannote[2367].speaker SPEAKER_07
transcript.pyannote[2367].start 11268.56534375
transcript.pyannote[2367].end 11270.52284375
transcript.pyannote[2368].speaker SPEAKER_07
transcript.pyannote[2368].start 11271.14721875
transcript.pyannote[2368].end 11273.03721875
transcript.pyannote[2369].speaker SPEAKER_07
transcript.pyannote[2369].start 11273.62784375
transcript.pyannote[2369].end 11274.89346875
transcript.pyannote[2370].speaker SPEAKER_07
transcript.pyannote[2370].start 11275.63596875
transcript.pyannote[2370].end 11276.56409375
transcript.pyannote[2371].speaker SPEAKER_07
transcript.pyannote[2371].start 11276.98596875
transcript.pyannote[2371].end 11277.52596875
transcript.pyannote[2372].speaker SPEAKER_07
transcript.pyannote[2372].start 11277.82971875
transcript.pyannote[2372].end 11279.75346875
transcript.pyannote[2373].speaker SPEAKER_07
transcript.pyannote[2373].start 11280.58034375
transcript.pyannote[2373].end 11281.91346875
transcript.pyannote[2374].speaker SPEAKER_07
transcript.pyannote[2374].start 11282.60534375
transcript.pyannote[2374].end 11283.41534375
transcript.pyannote[2375].speaker SPEAKER_07
transcript.pyannote[2375].start 11284.03971875
transcript.pyannote[2375].end 11285.40659375
transcript.pyannote[2376].speaker SPEAKER_07
transcript.pyannote[2376].start 11285.96346875
transcript.pyannote[2376].end 11287.21221875
transcript.pyannote[2377].speaker SPEAKER_07
transcript.pyannote[2377].start 11288.68034375
transcript.pyannote[2377].end 11289.28784375
transcript.pyannote[2378].speaker SPEAKER_07
transcript.pyannote[2378].start 11289.92909375
transcript.pyannote[2378].end 11290.58721875
transcript.pyannote[2379].speaker SPEAKER_07
transcript.pyannote[2379].start 11291.43096875
transcript.pyannote[2379].end 11293.82721875
transcript.pyannote[2380].speaker SPEAKER_30
transcript.pyannote[2380].start 11294.97471875
transcript.pyannote[2380].end 11298.21471875
transcript.pyannote[2381].speaker SPEAKER_07
transcript.pyannote[2381].start 11298.19784375
transcript.pyannote[2381].end 11298.88971875
transcript.pyannote[2382].speaker SPEAKER_07
transcript.pyannote[2382].start 11299.64909375
transcript.pyannote[2382].end 11300.93159375
transcript.pyannote[2383].speaker SPEAKER_07
transcript.pyannote[2383].start 11302.09596875
transcript.pyannote[2383].end 11302.73721875
transcript.pyannote[2384].speaker SPEAKER_07
transcript.pyannote[2384].start 11303.58096875
transcript.pyannote[2384].end 11304.86346875
transcript.pyannote[2385].speaker SPEAKER_07
transcript.pyannote[2385].start 11306.21346875
transcript.pyannote[2385].end 11307.49596875
transcript.pyannote[2386].speaker SPEAKER_30
transcript.pyannote[2386].start 11309.01471875
transcript.pyannote[2386].end 11309.82471875
transcript.pyannote[2387].speaker SPEAKER_07
transcript.pyannote[2387].start 11310.04409375
transcript.pyannote[2387].end 11311.36034375
transcript.pyannote[2388].speaker SPEAKER_07
transcript.pyannote[2388].start 11313.38534375
transcript.pyannote[2388].end 11314.80284375
transcript.pyannote[2389].speaker SPEAKER_07
transcript.pyannote[2389].start 11314.93784375
transcript.pyannote[2389].end 11315.88284375
transcript.pyannote[2390].speaker SPEAKER_07
transcript.pyannote[2390].start 11317.31721875
transcript.pyannote[2390].end 11318.17784375
transcript.pyannote[2391].speaker SPEAKER_07
transcript.pyannote[2391].start 11319.40971875
transcript.pyannote[2391].end 11321.24909375
transcript.pyannote[2392].speaker SPEAKER_07
transcript.pyannote[2392].start 11322.12659375
transcript.pyannote[2392].end 11324.10096875
transcript.pyannote[2393].speaker SPEAKER_07
transcript.pyannote[2393].start 11327.30721875
transcript.pyannote[2393].end 11328.91034375
transcript.pyannote[2394].speaker SPEAKER_34
transcript.pyannote[2394].start 11327.35784375
transcript.pyannote[2394].end 11328.57284375
transcript.pyannote[2395].speaker SPEAKER_34
transcript.pyannote[2395].start 11329.19721875
transcript.pyannote[2395].end 11329.48409375
transcript.pyannote[2396].speaker SPEAKER_07
transcript.pyannote[2396].start 11329.48409375
transcript.pyannote[2396].end 11330.27721875
transcript.pyannote[2397].speaker SPEAKER_07
transcript.pyannote[2397].start 11330.90159375
transcript.pyannote[2397].end 11331.69471875
transcript.pyannote[2398].speaker SPEAKER_07
transcript.pyannote[2398].start 11332.20096875
transcript.pyannote[2398].end 11334.17534375
transcript.pyannote[2399].speaker SPEAKER_07
transcript.pyannote[2399].start 11334.85034375
transcript.pyannote[2399].end 11336.30159375
transcript.pyannote[2400].speaker SPEAKER_07
transcript.pyannote[2400].start 11336.63909375
transcript.pyannote[2400].end 11340.41909375
transcript.pyannote[2401].speaker SPEAKER_07
transcript.pyannote[2401].start 11340.73971875
transcript.pyannote[2401].end 11341.90409375
transcript.pyannote[2402].speaker SPEAKER_07
transcript.pyannote[2402].start 11343.94596875
transcript.pyannote[2402].end 11345.14409375
transcript.pyannote[2403].speaker SPEAKER_07
transcript.pyannote[2403].start 11345.41409375
transcript.pyannote[2403].end 11346.79784375
transcript.pyannote[2404].speaker SPEAKER_07
transcript.pyannote[2404].start 11347.38846875
transcript.pyannote[2404].end 11349.24471875
transcript.pyannote[2405].speaker SPEAKER_30
transcript.pyannote[2405].start 11349.81846875
transcript.pyannote[2405].end 11351.94471875
transcript.pyannote[2406].speaker SPEAKER_30
transcript.pyannote[2406].start 11352.60284375
transcript.pyannote[2406].end 11353.66596875
transcript.pyannote[2407].speaker SPEAKER_07
transcript.pyannote[2407].start 11352.77159375
transcript.pyannote[2407].end 11355.99471875
transcript.pyannote[2408].speaker SPEAKER_07
transcript.pyannote[2408].start 11356.34909375
transcript.pyannote[2408].end 11357.76659375
transcript.pyannote[2409].speaker SPEAKER_07
transcript.pyannote[2409].start 11358.44159375
transcript.pyannote[2409].end 11359.42034375
transcript.pyannote[2410].speaker SPEAKER_07
transcript.pyannote[2410].start 11359.97721875
transcript.pyannote[2410].end 11363.95971875
transcript.pyannote[2411].speaker SPEAKER_07
transcript.pyannote[2411].start 11364.73596875
transcript.pyannote[2411].end 11367.36846875
transcript.pyannote[2412].speaker SPEAKER_07
transcript.pyannote[2412].start 11368.24596875
transcript.pyannote[2412].end 11369.30909375
transcript.pyannote[2413].speaker SPEAKER_07
transcript.pyannote[2413].start 11371.19909375
transcript.pyannote[2413].end 11372.24534375
transcript.pyannote[2414].speaker SPEAKER_07
transcript.pyannote[2414].start 11372.36346875
transcript.pyannote[2414].end 11374.16909375
transcript.pyannote[2415].speaker SPEAKER_07
transcript.pyannote[2415].start 11374.74284375
transcript.pyannote[2415].end 11376.90284375
transcript.pyannote[2416].speaker SPEAKER_07
transcript.pyannote[2416].start 11377.20659375
transcript.pyannote[2416].end 11378.05034375
transcript.pyannote[2417].speaker SPEAKER_07
transcript.pyannote[2417].start 11378.55659375
transcript.pyannote[2417].end 11381.10471875
transcript.pyannote[2418].speaker SPEAKER_07
transcript.pyannote[2418].start 11382.01596875
transcript.pyannote[2418].end 11383.16346875
transcript.pyannote[2419].speaker SPEAKER_30
transcript.pyannote[2419].start 11384.76659375
transcript.pyannote[2419].end 11388.12471875
transcript.pyannote[2420].speaker SPEAKER_07
transcript.pyannote[2420].start 11388.00659375
transcript.pyannote[2420].end 11390.68971875
transcript.pyannote[2421].speaker SPEAKER_30
transcript.pyannote[2421].start 11391.83721875
transcript.pyannote[2421].end 11396.71409375
transcript.pyannote[2422].speaker SPEAKER_07
transcript.pyannote[2422].start 11394.90846875
transcript.pyannote[2422].end 11396.76471875
transcript.pyannote[2423].speaker SPEAKER_07
transcript.pyannote[2423].start 11397.25409375
transcript.pyannote[2423].end 11399.11034375
transcript.pyannote[2424].speaker SPEAKER_07
transcript.pyannote[2424].start 11399.39721875
transcript.pyannote[2424].end 11400.51096875
transcript.pyannote[2425].speaker SPEAKER_07
transcript.pyannote[2425].start 11404.08846875
transcript.pyannote[2425].end 11406.97409375
transcript.pyannote[2426].speaker SPEAKER_07
transcript.pyannote[2426].start 11407.93596875
transcript.pyannote[2426].end 11410.07909375
transcript.pyannote[2427].speaker SPEAKER_07
transcript.pyannote[2427].start 11410.65284375
transcript.pyannote[2427].end 11411.02409375
transcript.pyannote[2428].speaker SPEAKER_07
transcript.pyannote[2428].start 11411.66534375
transcript.pyannote[2428].end 11413.75784375
transcript.pyannote[2429].speaker SPEAKER_07
transcript.pyannote[2429].start 11415.66471875
transcript.pyannote[2429].end 11417.94284375
transcript.pyannote[2430].speaker SPEAKER_07
transcript.pyannote[2430].start 11418.95534375
transcript.pyannote[2430].end 11420.87909375
transcript.pyannote[2431].speaker SPEAKER_07
transcript.pyannote[2431].start 11421.41909375
transcript.pyannote[2431].end 11422.41471875
transcript.pyannote[2432].speaker SPEAKER_07
transcript.pyannote[2432].start 11422.68471875
transcript.pyannote[2432].end 11423.20784375
transcript.pyannote[2433].speaker SPEAKER_07
transcript.pyannote[2433].start 11424.00096875
transcript.pyannote[2433].end 11424.76034375
transcript.pyannote[2434].speaker SPEAKER_07
transcript.pyannote[2434].start 11425.08096875
transcript.pyannote[2434].end 11428.97909375
transcript.pyannote[2435].speaker SPEAKER_07
transcript.pyannote[2435].start 11429.23221875
transcript.pyannote[2435].end 11430.14346875
transcript.pyannote[2436].speaker SPEAKER_07
transcript.pyannote[2436].start 11430.80159375
transcript.pyannote[2436].end 11432.15159375
transcript.pyannote[2437].speaker SPEAKER_07
transcript.pyannote[2437].start 11433.24846875
transcript.pyannote[2437].end 11433.77159375
transcript.pyannote[2438].speaker SPEAKER_07
transcript.pyannote[2438].start 11434.85159375
transcript.pyannote[2438].end 11436.65721875
transcript.pyannote[2439].speaker SPEAKER_07
transcript.pyannote[2439].start 11436.74159375
transcript.pyannote[2439].end 11439.82971875
transcript.pyannote[2440].speaker SPEAKER_31
transcript.pyannote[2440].start 11439.82971875
transcript.pyannote[2440].end 11439.96471875
transcript.pyannote[2441].speaker SPEAKER_26
transcript.pyannote[2441].start 11439.96471875
transcript.pyannote[2441].end 11444.21721875
transcript.pyannote[2442].speaker SPEAKER_31
transcript.pyannote[2442].start 11440.01534375
transcript.pyannote[2442].end 11440.94346875
transcript.pyannote[2443].speaker SPEAKER_31
transcript.pyannote[2443].start 11444.21721875
transcript.pyannote[2443].end 11444.26784375
transcript.pyannote[2444].speaker SPEAKER_05
transcript.pyannote[2444].start 11455.00034375
transcript.pyannote[2444].end 11456.68784375
transcript.pyannote[2445].speaker SPEAKER_05
transcript.pyannote[2445].start 11456.82284375
transcript.pyannote[2445].end 11458.42596875
transcript.pyannote[2446].speaker SPEAKER_26
transcript.pyannote[2446].start 11460.31596875
transcript.pyannote[2446].end 11462.22284375
transcript.pyannote[2447].speaker SPEAKER_26
transcript.pyannote[2447].start 11466.66096875
transcript.pyannote[2447].end 11466.96471875
transcript.pyannote[2448].speaker SPEAKER_29
transcript.pyannote[2448].start 11466.96471875
transcript.pyannote[2448].end 11467.30221875
transcript.pyannote[2449].speaker SPEAKER_15
transcript.pyannote[2449].start 11468.07846875
transcript.pyannote[2449].end 11468.55096875
transcript.pyannote[2450].speaker SPEAKER_05
transcript.pyannote[2450].start 11470.55909375
transcript.pyannote[2450].end 11471.35221875
transcript.pyannote[2451].speaker SPEAKER_05
transcript.pyannote[2451].start 11472.24659375
transcript.pyannote[2451].end 11474.55846875
transcript.pyannote[2452].speaker SPEAKER_05
transcript.pyannote[2452].start 11474.98034375
transcript.pyannote[2452].end 11476.65096875
transcript.pyannote[2453].speaker SPEAKER_05
transcript.pyannote[2453].start 11477.52846875
transcript.pyannote[2453].end 11483.16471875
transcript.pyannote[2454].speaker SPEAKER_05
transcript.pyannote[2454].start 11483.85659375
transcript.pyannote[2454].end 11485.64534375
transcript.pyannote[2455].speaker SPEAKER_05
transcript.pyannote[2455].start 11486.28659375
transcript.pyannote[2455].end 11487.41721875
transcript.pyannote[2456].speaker SPEAKER_05
transcript.pyannote[2456].start 11488.10909375
transcript.pyannote[2456].end 11490.60659375
transcript.pyannote[2457].speaker SPEAKER_05
transcript.pyannote[2457].start 11491.33221875
transcript.pyannote[2457].end 11495.90534375
transcript.pyannote[2458].speaker SPEAKER_05
transcript.pyannote[2458].start 11496.51284375
transcript.pyannote[2458].end 11499.31409375
transcript.pyannote[2459].speaker SPEAKER_05
transcript.pyannote[2459].start 11500.03971875
transcript.pyannote[2459].end 11502.19971875
transcript.pyannote[2460].speaker SPEAKER_05
transcript.pyannote[2460].start 11502.73971875
transcript.pyannote[2460].end 11510.55284375
transcript.pyannote[2461].speaker SPEAKER_05
transcript.pyannote[2461].start 11510.97471875
transcript.pyannote[2461].end 11515.61534375
transcript.pyannote[2462].speaker SPEAKER_05
transcript.pyannote[2462].start 11516.15534375
transcript.pyannote[2462].end 11520.89721875
transcript.pyannote[2463].speaker SPEAKER_05
transcript.pyannote[2463].start 11521.38659375
transcript.pyannote[2463].end 11523.37784375
transcript.pyannote[2464].speaker SPEAKER_05
transcript.pyannote[2464].start 11523.96846875
transcript.pyannote[2464].end 11525.84159375
transcript.pyannote[2465].speaker SPEAKER_05
transcript.pyannote[2465].start 11526.29721875
transcript.pyannote[2465].end 11528.64284375
transcript.pyannote[2466].speaker SPEAKER_05
transcript.pyannote[2466].start 11529.06471875
transcript.pyannote[2466].end 11530.16159375
transcript.pyannote[2467].speaker SPEAKER_05
transcript.pyannote[2467].start 11530.80284375
transcript.pyannote[2467].end 11531.44409375
transcript.pyannote[2468].speaker SPEAKER_05
transcript.pyannote[2468].start 11532.38909375
transcript.pyannote[2468].end 11533.35096875
transcript.pyannote[2469].speaker SPEAKER_05
transcript.pyannote[2469].start 11534.11034375
transcript.pyannote[2469].end 11535.13971875
transcript.pyannote[2470].speaker SPEAKER_05
transcript.pyannote[2470].start 11535.64596875
transcript.pyannote[2470].end 11536.94534375
transcript.pyannote[2471].speaker SPEAKER_05
transcript.pyannote[2471].start 11536.96221875
transcript.pyannote[2471].end 11542.36221875
transcript.pyannote[2472].speaker SPEAKER_05
transcript.pyannote[2472].start 11543.17221875
transcript.pyannote[2472].end 11547.18846875
transcript.pyannote[2473].speaker SPEAKER_05
transcript.pyannote[2473].start 11547.40784375
transcript.pyannote[2473].end 11550.39471875
transcript.pyannote[2474].speaker SPEAKER_05
transcript.pyannote[2474].start 11550.58034375
transcript.pyannote[2474].end 11552.03159375
transcript.pyannote[2475].speaker SPEAKER_05
transcript.pyannote[2475].start 11552.55471875
transcript.pyannote[2475].end 11553.97221875
transcript.pyannote[2476].speaker SPEAKER_05
transcript.pyannote[2476].start 11554.41096875
transcript.pyannote[2476].end 11556.23346875
transcript.pyannote[2477].speaker SPEAKER_05
transcript.pyannote[2477].start 11556.60471875
transcript.pyannote[2477].end 11557.29659375
transcript.pyannote[2478].speaker SPEAKER_05
transcript.pyannote[2478].start 11558.15721875
transcript.pyannote[2478].end 11559.18659375
transcript.pyannote[2479].speaker SPEAKER_05
transcript.pyannote[2479].start 11559.45659375
transcript.pyannote[2479].end 11560.28346875
transcript.pyannote[2480].speaker SPEAKER_05
transcript.pyannote[2480].start 11560.67159375
transcript.pyannote[2480].end 11562.46034375
transcript.pyannote[2481].speaker SPEAKER_05
transcript.pyannote[2481].start 11562.64596875
transcript.pyannote[2481].end 11568.04596875
transcript.pyannote[2482].speaker SPEAKER_05
transcript.pyannote[2482].start 11568.67034375
transcript.pyannote[2482].end 11569.58159375
transcript.pyannote[2483].speaker SPEAKER_05
transcript.pyannote[2483].start 11570.30721875
transcript.pyannote[2483].end 11571.94409375
transcript.pyannote[2484].speaker SPEAKER_05
transcript.pyannote[2484].start 11572.92284375
transcript.pyannote[2484].end 11573.29409375
transcript.pyannote[2485].speaker SPEAKER_05
transcript.pyannote[2485].start 11573.74971875
transcript.pyannote[2485].end 11586.74346875
transcript.pyannote[2486].speaker SPEAKER_05
transcript.pyannote[2486].start 11587.33409375
transcript.pyannote[2486].end 11588.78534375
transcript.pyannote[2487].speaker SPEAKER_05
transcript.pyannote[2487].start 11588.93721875
transcript.pyannote[2487].end 11595.01221875
transcript.pyannote[2488].speaker SPEAKER_05
transcript.pyannote[2488].start 11595.83909375
transcript.pyannote[2488].end 11600.26034375
transcript.pyannote[2489].speaker SPEAKER_05
transcript.pyannote[2489].start 11600.93534375
transcript.pyannote[2489].end 11606.30159375
transcript.pyannote[2490].speaker SPEAKER_05
transcript.pyannote[2490].start 11607.58409375
transcript.pyannote[2490].end 11609.06909375
transcript.pyannote[2491].speaker SPEAKER_05
transcript.pyannote[2491].start 11610.11534375
transcript.pyannote[2491].end 11611.16159375
transcript.pyannote[2492].speaker SPEAKER_05
transcript.pyannote[2492].start 11611.71846875
transcript.pyannote[2492].end 11612.61284375
transcript.pyannote[2493].speaker SPEAKER_05
transcript.pyannote[2493].start 11613.20346875
transcript.pyannote[2493].end 11614.38471875
transcript.pyannote[2494].speaker SPEAKER_05
transcript.pyannote[2494].start 11614.65471875
transcript.pyannote[2494].end 11615.54909375
transcript.pyannote[2495].speaker SPEAKER_05
transcript.pyannote[2495].start 11616.39284375
transcript.pyannote[2495].end 11619.12659375
transcript.pyannote[2496].speaker SPEAKER_05
transcript.pyannote[2496].start 11621.20221875
transcript.pyannote[2496].end 11624.03721875
transcript.pyannote[2497].speaker SPEAKER_05
transcript.pyannote[2497].start 11624.89784375
transcript.pyannote[2497].end 11636.87909375
transcript.pyannote[2498].speaker SPEAKER_05
transcript.pyannote[2498].start 11637.28409375
transcript.pyannote[2498].end 11637.87471875
transcript.pyannote[2499].speaker SPEAKER_05
transcript.pyannote[2499].start 11638.60034375
transcript.pyannote[2499].end 11640.20346875
transcript.pyannote[2500].speaker SPEAKER_05
transcript.pyannote[2500].start 11640.54096875
transcript.pyannote[2500].end 11642.07659375
transcript.pyannote[2501].speaker SPEAKER_05
transcript.pyannote[2501].start 11642.92034375
transcript.pyannote[2501].end 11643.40971875
transcript.pyannote[2502].speaker SPEAKER_05
transcript.pyannote[2502].start 11644.10159375
transcript.pyannote[2502].end 11645.87346875
transcript.pyannote[2503].speaker SPEAKER_05
transcript.pyannote[2503].start 11646.78471875
transcript.pyannote[2503].end 11650.24409375
transcript.pyannote[2504].speaker SPEAKER_05
transcript.pyannote[2504].start 11650.80096875
transcript.pyannote[2504].end 11655.59346875
transcript.pyannote[2505].speaker SPEAKER_05
transcript.pyannote[2505].start 11656.77471875
transcript.pyannote[2505].end 11656.97721875
transcript.pyannote[2506].speaker SPEAKER_15
transcript.pyannote[2506].start 11656.97721875
transcript.pyannote[2506].end 11668.55346875
transcript.pyannote[2507].speaker SPEAKER_05
transcript.pyannote[2507].start 11664.33471875
transcript.pyannote[2507].end 11665.87034375
transcript.pyannote[2508].speaker SPEAKER_15
transcript.pyannote[2508].start 11669.14409375
transcript.pyannote[2508].end 11676.68721875
transcript.pyannote[2509].speaker SPEAKER_15
transcript.pyannote[2509].start 11677.61534375
transcript.pyannote[2509].end 11679.01596875
transcript.pyannote[2510].speaker SPEAKER_15
transcript.pyannote[2510].start 11679.48846875
transcript.pyannote[2510].end 11681.02409375
transcript.pyannote[2511].speaker SPEAKER_05
transcript.pyannote[2511].start 11679.67409375
transcript.pyannote[2511].end 11680.18034375
transcript.pyannote[2512].speaker SPEAKER_09
transcript.pyannote[2512].start 11680.18034375
transcript.pyannote[2512].end 11680.24784375
transcript.pyannote[2513].speaker SPEAKER_05
transcript.pyannote[2513].start 11680.24784375
transcript.pyannote[2513].end 11680.31534375
transcript.pyannote[2514].speaker SPEAKER_05
transcript.pyannote[2514].start 11681.02409375
transcript.pyannote[2514].end 11682.07034375
transcript.pyannote[2515].speaker SPEAKER_15
transcript.pyannote[2515].start 11681.09159375
transcript.pyannote[2515].end 11681.96909375
transcript.pyannote[2516].speaker SPEAKER_09
transcript.pyannote[2516].start 11681.96909375
transcript.pyannote[2516].end 11682.49221875
transcript.pyannote[2517].speaker SPEAKER_15
transcript.pyannote[2517].start 11682.07034375
transcript.pyannote[2517].end 11682.08721875
transcript.pyannote[2518].speaker SPEAKER_05
transcript.pyannote[2518].start 11682.93096875
transcript.pyannote[2518].end 11684.11221875
transcript.pyannote[2519].speaker SPEAKER_05
transcript.pyannote[2519].start 11684.95596875
transcript.pyannote[2519].end 11686.40721875
transcript.pyannote[2520].speaker SPEAKER_05
transcript.pyannote[2520].start 11686.94721875
transcript.pyannote[2520].end 11688.29721875
transcript.pyannote[2521].speaker SPEAKER_05
transcript.pyannote[2521].start 11688.90471875
transcript.pyannote[2521].end 11690.28846875
transcript.pyannote[2522].speaker SPEAKER_05
transcript.pyannote[2522].start 11691.03096875
transcript.pyannote[2522].end 11694.25409375
transcript.pyannote[2523].speaker SPEAKER_05
transcript.pyannote[2523].start 11694.87846875
transcript.pyannote[2523].end 11696.05971875
transcript.pyannote[2524].speaker SPEAKER_05
transcript.pyannote[2524].start 11696.58284375
transcript.pyannote[2524].end 11700.63284375
transcript.pyannote[2525].speaker SPEAKER_05
transcript.pyannote[2525].start 11701.62846875
transcript.pyannote[2525].end 11702.82659375
transcript.pyannote[2526].speaker SPEAKER_05
transcript.pyannote[2526].start 11703.28221875
transcript.pyannote[2526].end 11704.78409375
transcript.pyannote[2527].speaker SPEAKER_05
transcript.pyannote[2527].start 11705.18909375
transcript.pyannote[2527].end 11707.55159375
transcript.pyannote[2528].speaker SPEAKER_05
transcript.pyannote[2528].start 11707.92284375
transcript.pyannote[2528].end 11711.77034375
transcript.pyannote[2529].speaker SPEAKER_05
transcript.pyannote[2529].start 11712.71534375
transcript.pyannote[2529].end 11722.53659375
transcript.pyannote[2530].speaker SPEAKER_05
transcript.pyannote[2530].start 11722.90784375
transcript.pyannote[2530].end 11731.93596875
transcript.pyannote[2531].speaker SPEAKER_05
transcript.pyannote[2531].start 11732.17221875
transcript.pyannote[2531].end 11736.32346875
transcript.pyannote[2532].speaker SPEAKER_05
transcript.pyannote[2532].start 11736.69471875
transcript.pyannote[2532].end 11739.02346875
transcript.pyannote[2533].speaker SPEAKER_05
transcript.pyannote[2533].start 11739.31034375
transcript.pyannote[2533].end 11743.37721875
transcript.pyannote[2534].speaker SPEAKER_05
transcript.pyannote[2534].start 11743.86659375
transcript.pyannote[2534].end 11744.76096875
transcript.pyannote[2535].speaker SPEAKER_05
transcript.pyannote[2535].start 11745.79034375
transcript.pyannote[2535].end 11746.46534375
transcript.pyannote[2536].speaker SPEAKER_05
transcript.pyannote[2536].start 11747.14034375
transcript.pyannote[2536].end 11748.94596875
transcript.pyannote[2537].speaker SPEAKER_05
transcript.pyannote[2537].start 11749.80659375
transcript.pyannote[2537].end 11751.62909375
transcript.pyannote[2538].speaker SPEAKER_05
transcript.pyannote[2538].start 11752.10159375
transcript.pyannote[2538].end 11754.14346875
transcript.pyannote[2539].speaker SPEAKER_05
transcript.pyannote[2539].start 11754.83534375
transcript.pyannote[2539].end 11755.61159375
transcript.pyannote[2540].speaker SPEAKER_05
transcript.pyannote[2540].start 11756.65784375
transcript.pyannote[2540].end 11759.42534375
transcript.pyannote[2541].speaker SPEAKER_05
transcript.pyannote[2541].start 11759.76284375
transcript.pyannote[2541].end 11761.19721875
transcript.pyannote[2542].speaker SPEAKER_05
transcript.pyannote[2542].start 11761.34909375
transcript.pyannote[2542].end 11765.17971875
transcript.pyannote[2543].speaker SPEAKER_05
transcript.pyannote[2543].start 11765.98971875
transcript.pyannote[2543].end 11767.66034375
transcript.pyannote[2544].speaker SPEAKER_05
transcript.pyannote[2544].start 11769.02721875
transcript.pyannote[2544].end 11771.15346875
transcript.pyannote[2545].speaker SPEAKER_05
transcript.pyannote[2545].start 11771.77784375
transcript.pyannote[2545].end 11773.97159375
transcript.pyannote[2546].speaker SPEAKER_05
transcript.pyannote[2546].start 11774.84909375
transcript.pyannote[2546].end 11776.97534375
transcript.pyannote[2547].speaker SPEAKER_05
transcript.pyannote[2547].start 11777.19471875
transcript.pyannote[2547].end 11779.50659375
transcript.pyannote[2548].speaker SPEAKER_05
transcript.pyannote[2548].start 11779.72596875
transcript.pyannote[2548].end 11781.58221875
transcript.pyannote[2549].speaker SPEAKER_15
transcript.pyannote[2549].start 11782.78034375
transcript.pyannote[2549].end 11783.37096875
transcript.pyannote[2550].speaker SPEAKER_15
transcript.pyannote[2550].start 11783.82659375
transcript.pyannote[2550].end 11789.02409375
transcript.pyannote[2551].speaker SPEAKER_05
transcript.pyannote[2551].start 11789.02409375
transcript.pyannote[2551].end 11789.22659375
transcript.pyannote[2552].speaker SPEAKER_15
transcript.pyannote[2552].start 11789.22659375
transcript.pyannote[2552].end 11789.29409375
transcript.pyannote[2553].speaker SPEAKER_05
transcript.pyannote[2553].start 11789.29409375
transcript.pyannote[2553].end 11789.34471875
transcript.pyannote[2554].speaker SPEAKER_15
transcript.pyannote[2554].start 11789.66534375
transcript.pyannote[2554].end 11789.69909375
transcript.pyannote[2555].speaker SPEAKER_05
transcript.pyannote[2555].start 11789.69909375
transcript.pyannote[2555].end 11794.13721875
transcript.pyannote[2556].speaker SPEAKER_15
transcript.pyannote[2556].start 11793.12471875
transcript.pyannote[2556].end 11794.59284375
transcript.pyannote[2557].speaker SPEAKER_05
transcript.pyannote[2557].start 11794.72784375
transcript.pyannote[2557].end 11795.72346875
transcript.pyannote[2558].speaker SPEAKER_05
transcript.pyannote[2558].start 11796.49971875
transcript.pyannote[2558].end 11797.63034375
transcript.pyannote[2559].speaker SPEAKER_05
transcript.pyannote[2559].start 11798.74409375
transcript.pyannote[2559].end 11802.23721875
transcript.pyannote[2560].speaker SPEAKER_05
transcript.pyannote[2560].start 11802.92909375
transcript.pyannote[2560].end 11804.73471875
transcript.pyannote[2561].speaker SPEAKER_05
transcript.pyannote[2561].start 11805.19034375
transcript.pyannote[2561].end 11806.28721875
transcript.pyannote[2562].speaker SPEAKER_05
transcript.pyannote[2562].start 11806.86096875
transcript.pyannote[2562].end 11808.24471875
transcript.pyannote[2563].speaker SPEAKER_05
transcript.pyannote[2563].start 11808.97034375
transcript.pyannote[2563].end 11810.11784375
transcript.pyannote[2564].speaker SPEAKER_05
transcript.pyannote[2564].start 11810.35409375
transcript.pyannote[2564].end 11811.68721875
transcript.pyannote[2565].speaker SPEAKER_05
transcript.pyannote[2565].start 11812.21034375
transcript.pyannote[2565].end 11814.47159375
transcript.pyannote[2566].speaker SPEAKER_05
transcript.pyannote[2566].start 11815.28159375
transcript.pyannote[2566].end 11818.60596875
transcript.pyannote[2567].speaker SPEAKER_05
transcript.pyannote[2567].start 11818.99409375
transcript.pyannote[2567].end 11822.52096875
transcript.pyannote[2568].speaker SPEAKER_05
transcript.pyannote[2568].start 11823.01034375
transcript.pyannote[2568].end 11839.04159375
transcript.pyannote[2569].speaker SPEAKER_05
transcript.pyannote[2569].start 11839.71659375
transcript.pyannote[2569].end 11841.06659375
transcript.pyannote[2570].speaker SPEAKER_05
transcript.pyannote[2570].start 11841.62346875
transcript.pyannote[2570].end 11842.82159375
transcript.pyannote[2571].speaker SPEAKER_05
transcript.pyannote[2571].start 11843.12534375
transcript.pyannote[2571].end 11844.12096875
transcript.pyannote[2572].speaker SPEAKER_05
transcript.pyannote[2572].start 11844.32346875
transcript.pyannote[2572].end 11851.76534375
transcript.pyannote[2573].speaker SPEAKER_05
transcript.pyannote[2573].start 11851.90034375
transcript.pyannote[2573].end 11853.97596875
transcript.pyannote[2574].speaker SPEAKER_15
transcript.pyannote[2574].start 11853.97596875
transcript.pyannote[2574].end 11862.02534375
transcript.pyannote[2575].speaker SPEAKER_05
transcript.pyannote[2575].start 11862.02534375
transcript.pyannote[2575].end 11862.98721875
transcript.pyannote[2576].speaker SPEAKER_15
transcript.pyannote[2576].start 11863.52721875
transcript.pyannote[2576].end 11863.56096875
transcript.pyannote[2577].speaker SPEAKER_05
transcript.pyannote[2577].start 11863.56096875
transcript.pyannote[2577].end 11866.02471875
transcript.pyannote[2578].speaker SPEAKER_05
transcript.pyannote[2578].start 11866.53096875
transcript.pyannote[2578].end 11870.61471875
transcript.pyannote[2579].speaker SPEAKER_05
transcript.pyannote[2579].start 11871.40784375
transcript.pyannote[2579].end 11874.31034375
transcript.pyannote[2580].speaker SPEAKER_05
transcript.pyannote[2580].start 11874.54659375
transcript.pyannote[2580].end 11876.03159375
transcript.pyannote[2581].speaker SPEAKER_05
transcript.pyannote[2581].start 11876.60534375
transcript.pyannote[2581].end 11877.73596875
transcript.pyannote[2582].speaker SPEAKER_05
transcript.pyannote[2582].start 11878.24221875
transcript.pyannote[2582].end 11879.69346875
transcript.pyannote[2583].speaker SPEAKER_05
transcript.pyannote[2583].start 11880.21659375
transcript.pyannote[2583].end 11881.07721875
transcript.pyannote[2584].speaker SPEAKER_05
transcript.pyannote[2584].start 11881.41471875
transcript.pyannote[2584].end 11882.39346875
transcript.pyannote[2585].speaker SPEAKER_05
transcript.pyannote[2585].start 11882.89971875
transcript.pyannote[2585].end 11885.09346875
transcript.pyannote[2586].speaker SPEAKER_05
transcript.pyannote[2586].start 11885.46471875
transcript.pyannote[2586].end 11889.48096875
transcript.pyannote[2587].speaker SPEAKER_05
transcript.pyannote[2587].start 11890.76346875
transcript.pyannote[2587].end 11897.19284375
transcript.pyannote[2588].speaker SPEAKER_05
transcript.pyannote[2588].start 11897.73284375
transcript.pyannote[2588].end 11900.88846875
transcript.pyannote[2589].speaker SPEAKER_05
transcript.pyannote[2589].start 11901.49596875
transcript.pyannote[2589].end 11903.58846875
transcript.pyannote[2590].speaker SPEAKER_05
transcript.pyannote[2590].start 11903.90909375
transcript.pyannote[2590].end 11906.76096875
transcript.pyannote[2591].speaker SPEAKER_05
transcript.pyannote[2591].start 11907.45284375
transcript.pyannote[2591].end 11912.11034375
transcript.pyannote[2592].speaker SPEAKER_05
transcript.pyannote[2592].start 11912.63346875
transcript.pyannote[2592].end 11914.27034375
transcript.pyannote[2593].speaker SPEAKER_05
transcript.pyannote[2593].start 11914.64159375
transcript.pyannote[2593].end 11915.94096875
transcript.pyannote[2594].speaker SPEAKER_05
transcript.pyannote[2594].start 11916.24471875
transcript.pyannote[2594].end 11918.80971875
transcript.pyannote[2595].speaker SPEAKER_05
transcript.pyannote[2595].start 11919.34971875
transcript.pyannote[2595].end 11922.28596875
transcript.pyannote[2596].speaker SPEAKER_05
transcript.pyannote[2596].start 11922.53909375
transcript.pyannote[2596].end 11925.27284375
transcript.pyannote[2597].speaker SPEAKER_05
transcript.pyannote[2597].start 11926.26846875
transcript.pyannote[2597].end 11927.01096875
transcript.pyannote[2598].speaker SPEAKER_05
transcript.pyannote[2598].start 11927.80409375
transcript.pyannote[2598].end 11933.28846875
transcript.pyannote[2599].speaker SPEAKER_05
transcript.pyannote[2599].start 11934.01409375
transcript.pyannote[2599].end 11936.34284375
transcript.pyannote[2600].speaker SPEAKER_05
transcript.pyannote[2600].start 11936.91659375
transcript.pyannote[2600].end 11938.67159375
transcript.pyannote[2601].speaker SPEAKER_05
transcript.pyannote[2601].start 11939.19471875
transcript.pyannote[2601].end 11942.51909375
transcript.pyannote[2602].speaker SPEAKER_05
transcript.pyannote[2602].start 11942.83971875
transcript.pyannote[2602].end 11943.61596875
transcript.pyannote[2603].speaker SPEAKER_05
transcript.pyannote[2603].start 11943.78471875
transcript.pyannote[2603].end 11945.35409375
transcript.pyannote[2604].speaker SPEAKER_05
transcript.pyannote[2604].start 11945.43846875
transcript.pyannote[2604].end 11950.58534375
transcript.pyannote[2605].speaker SPEAKER_05
transcript.pyannote[2605].start 11950.85534375
transcript.pyannote[2605].end 11953.25159375
transcript.pyannote[2606].speaker SPEAKER_05
transcript.pyannote[2606].start 11953.70721875
transcript.pyannote[2606].end 11955.46221875
transcript.pyannote[2607].speaker SPEAKER_05
transcript.pyannote[2607].start 11956.39034375
transcript.pyannote[2607].end 11957.04846875
transcript.pyannote[2608].speaker SPEAKER_05
transcript.pyannote[2608].start 11957.84159375
transcript.pyannote[2608].end 11957.97659375
transcript.pyannote[2609].speaker SPEAKER_15
transcript.pyannote[2609].start 11957.97659375
transcript.pyannote[2609].end 11964.82784375
transcript.pyannote[2610].speaker SPEAKER_15
transcript.pyannote[2610].start 11965.68846875
transcript.pyannote[2610].end 11967.76409375
transcript.pyannote[2611].speaker SPEAKER_15
transcript.pyannote[2611].start 11968.69221875
transcript.pyannote[2611].end 11974.02471875
transcript.pyannote[2612].speaker SPEAKER_05
transcript.pyannote[2612].start 11974.02471875
transcript.pyannote[2612].end 11974.81784375
transcript.pyannote[2613].speaker SPEAKER_15
transcript.pyannote[2613].start 11974.81784375
transcript.pyannote[2613].end 11974.95284375
transcript.pyannote[2614].speaker SPEAKER_05
transcript.pyannote[2614].start 11974.95284375
transcript.pyannote[2614].end 11976.94409375
transcript.pyannote[2615].speaker SPEAKER_05
transcript.pyannote[2615].start 11977.14659375
transcript.pyannote[2615].end 11979.10409375
transcript.pyannote[2616].speaker SPEAKER_05
transcript.pyannote[2616].start 11980.03221875
transcript.pyannote[2616].end 11981.48346875
transcript.pyannote[2617].speaker SPEAKER_05
transcript.pyannote[2617].start 11982.47909375
transcript.pyannote[2617].end 11986.20846875
transcript.pyannote[2618].speaker SPEAKER_05
transcript.pyannote[2618].start 11987.27159375
transcript.pyannote[2618].end 11988.99284375
transcript.pyannote[2619].speaker SPEAKER_05
transcript.pyannote[2619].start 11989.39784375
transcript.pyannote[2619].end 11991.76034375
transcript.pyannote[2620].speaker SPEAKER_05
transcript.pyannote[2620].start 11993.63346875
transcript.pyannote[2620].end 11996.14784375
transcript.pyannote[2621].speaker SPEAKER_30
transcript.pyannote[2621].start 11997.21096875
transcript.pyannote[2621].end 12005.56409375
transcript.pyannote[2622].speaker SPEAKER_05
transcript.pyannote[2622].start 12004.41659375
transcript.pyannote[2622].end 12005.96909375
transcript.pyannote[2623].speaker SPEAKER_30
transcript.pyannote[2623].start 12005.80034375
transcript.pyannote[2623].end 12005.86784375
transcript.pyannote[2624].speaker SPEAKER_30
transcript.pyannote[2624].start 12005.96909375
transcript.pyannote[2624].end 12007.13346875
transcript.pyannote[2625].speaker SPEAKER_05
transcript.pyannote[2625].start 12007.21784375
transcript.pyannote[2625].end 12009.37784375
transcript.pyannote[2626].speaker SPEAKER_30
transcript.pyannote[2626].start 12009.02346875
transcript.pyannote[2626].end 12012.12846875
transcript.pyannote[2627].speaker SPEAKER_05
transcript.pyannote[2627].start 12012.51659375
transcript.pyannote[2627].end 12013.44471875
transcript.pyannote[2628].speaker SPEAKER_07
transcript.pyannote[2628].start 12013.44471875
transcript.pyannote[2628].end 12013.71471875
transcript.pyannote[2629].speaker SPEAKER_05
transcript.pyannote[2629].start 12013.71471875
transcript.pyannote[2629].end 12013.96784375
transcript.pyannote[2630].speaker SPEAKER_07
transcript.pyannote[2630].start 12013.90034375
transcript.pyannote[2630].end 12014.22096875
transcript.pyannote[2631].speaker SPEAKER_30
transcript.pyannote[2631].start 12013.96784375
transcript.pyannote[2631].end 12014.94659375
transcript.pyannote[2632].speaker SPEAKER_05
transcript.pyannote[2632].start 12015.48659375
transcript.pyannote[2632].end 12015.58784375
transcript.pyannote[2633].speaker SPEAKER_07
transcript.pyannote[2633].start 12015.58784375
transcript.pyannote[2633].end 12015.60471875
transcript.pyannote[2634].speaker SPEAKER_07
transcript.pyannote[2634].start 12015.63846875
transcript.pyannote[2634].end 12016.07721875
transcript.pyannote[2635].speaker SPEAKER_07
transcript.pyannote[2635].start 12018.55784375
transcript.pyannote[2635].end 12025.07159375
transcript.pyannote[2636].speaker SPEAKER_33
transcript.pyannote[2636].start 12033.39096875
transcript.pyannote[2636].end 12041.47409375
transcript.pyannote[2637].speaker SPEAKER_07
transcript.pyannote[2637].start 12039.93846875
transcript.pyannote[2637].end 12041.77784375
transcript.pyannote[2638].speaker SPEAKER_07
transcript.pyannote[2638].start 12042.08159375
transcript.pyannote[2638].end 12043.12784375
transcript.pyannote[2639].speaker SPEAKER_33
transcript.pyannote[2639].start 12048.19034375
transcript.pyannote[2639].end 12048.79784375
transcript.pyannote[2640].speaker SPEAKER_33
transcript.pyannote[2640].start 12049.47284375
transcript.pyannote[2640].end 12050.18159375
transcript.pyannote[2641].speaker SPEAKER_33
transcript.pyannote[2641].start 12051.46409375
transcript.pyannote[2641].end 12052.18971875
transcript.pyannote[2642].speaker SPEAKER_33
transcript.pyannote[2642].start 12054.48471875
transcript.pyannote[2642].end 12056.47596875
transcript.pyannote[2643].speaker SPEAKER_07
transcript.pyannote[2643].start 12055.27784375
transcript.pyannote[2643].end 12055.86846875
transcript.pyannote[2644].speaker SPEAKER_07
transcript.pyannote[2644].start 12056.96534375
transcript.pyannote[2644].end 12059.05784375
transcript.pyannote[2645].speaker SPEAKER_33
transcript.pyannote[2645].start 12059.85096875
transcript.pyannote[2645].end 12063.09096875
transcript.pyannote[2646].speaker SPEAKER_33
transcript.pyannote[2646].start 12063.46221875
transcript.pyannote[2646].end 12134.40471875
transcript.pyannote[2647].speaker SPEAKER_33
transcript.pyannote[2647].start 12134.70846875
transcript.pyannote[2647].end 12150.19971875
transcript.pyannote[2648].speaker SPEAKER_33
transcript.pyannote[2648].start 12150.60471875
transcript.pyannote[2648].end 12195.88034375
transcript.pyannote[2649].speaker SPEAKER_15
transcript.pyannote[2649].start 12194.14221875
transcript.pyannote[2649].end 12195.69471875
transcript.pyannote[2650].speaker SPEAKER_15
transcript.pyannote[2650].start 12195.88034375
transcript.pyannote[2650].end 12198.17534375
transcript.pyannote[2651].speaker SPEAKER_15
transcript.pyannote[2651].start 12198.83346875
transcript.pyannote[2651].end 12199.28909375
transcript.pyannote[2652].speaker SPEAKER_15
transcript.pyannote[2652].start 12200.57159375
transcript.pyannote[2652].end 12204.03096875
transcript.pyannote[2653].speaker SPEAKER_15
transcript.pyannote[2653].start 12204.57096875
transcript.pyannote[2653].end 12206.69721875
transcript.pyannote[2654].speaker SPEAKER_15
transcript.pyannote[2654].start 12207.37221875
transcript.pyannote[2654].end 12208.68846875
transcript.pyannote[2655].speaker SPEAKER_33
transcript.pyannote[2655].start 12208.03034375
transcript.pyannote[2655].end 12216.97409375
transcript.pyannote[2656].speaker SPEAKER_15
transcript.pyannote[2656].start 12209.88659375
transcript.pyannote[2656].end 12210.37596875
transcript.pyannote[2657].speaker SPEAKER_15
transcript.pyannote[2657].start 12210.79784375
transcript.pyannote[2657].end 12211.10159375
transcript.pyannote[2658].speaker SPEAKER_15
transcript.pyannote[2658].start 12213.86909375
transcript.pyannote[2658].end 12215.57346875
transcript.pyannote[2659].speaker SPEAKER_33
transcript.pyannote[2659].start 12217.21034375
transcript.pyannote[2659].end 12223.97721875
transcript.pyannote[2660].speaker SPEAKER_15
transcript.pyannote[2660].start 12217.29471875
transcript.pyannote[2660].end 12217.54784375
transcript.pyannote[2661].speaker SPEAKER_15
transcript.pyannote[2661].start 12221.42909375
transcript.pyannote[2661].end 12222.01971875
transcript.pyannote[2662].speaker SPEAKER_15
transcript.pyannote[2662].start 12223.97721875
transcript.pyannote[2662].end 12224.12909375
transcript.pyannote[2663].speaker SPEAKER_15
transcript.pyannote[2663].start 12224.73659375
transcript.pyannote[2663].end 12227.47034375
transcript.pyannote[2664].speaker SPEAKER_15
transcript.pyannote[2664].start 12227.84159375
transcript.pyannote[2664].end 12235.03034375
transcript.pyannote[2665].speaker SPEAKER_33
transcript.pyannote[2665].start 12235.03034375
transcript.pyannote[2665].end 12235.38471875
transcript.pyannote[2666].speaker SPEAKER_15
transcript.pyannote[2666].start 12235.06409375
transcript.pyannote[2666].end 12235.21596875
transcript.pyannote[2667].speaker SPEAKER_15
transcript.pyannote[2667].start 12235.38471875
transcript.pyannote[2667].end 12236.02596875
transcript.pyannote[2668].speaker SPEAKER_33
transcript.pyannote[2668].start 12236.02596875
transcript.pyannote[2668].end 12247.02846875
transcript.pyannote[2669].speaker SPEAKER_15
transcript.pyannote[2669].start 12237.69659375
transcript.pyannote[2669].end 12238.62471875
transcript.pyannote[2670].speaker SPEAKER_15
transcript.pyannote[2670].start 12239.83971875
transcript.pyannote[2670].end 12239.90721875
transcript.pyannote[2671].speaker SPEAKER_04
transcript.pyannote[2671].start 12239.90721875
transcript.pyannote[2671].end 12239.95784375
transcript.pyannote[2672].speaker SPEAKER_15
transcript.pyannote[2672].start 12239.95784375
transcript.pyannote[2672].end 12239.99159375
transcript.pyannote[2673].speaker SPEAKER_04
transcript.pyannote[2673].start 12239.99159375
transcript.pyannote[2673].end 12240.04221875
transcript.pyannote[2674].speaker SPEAKER_15
transcript.pyannote[2674].start 12240.04221875
transcript.pyannote[2674].end 12240.12659375
transcript.pyannote[2675].speaker SPEAKER_15
transcript.pyannote[2675].start 12242.82659375
transcript.pyannote[2675].end 12244.54784375
transcript.pyannote[2676].speaker SPEAKER_15
transcript.pyannote[2676].start 12247.02846875
transcript.pyannote[2676].end 12250.75784375
transcript.pyannote[2677].speaker SPEAKER_33
transcript.pyannote[2677].start 12247.16346875
transcript.pyannote[2677].end 12248.81721875
transcript.pyannote[2678].speaker SPEAKER_33
transcript.pyannote[2678].start 12250.26846875
transcript.pyannote[2678].end 12265.20284375
transcript.pyannote[2679].speaker SPEAKER_15
transcript.pyannote[2679].start 12252.39471875
transcript.pyannote[2679].end 12253.03596875
transcript.pyannote[2680].speaker SPEAKER_15
transcript.pyannote[2680].start 12257.89596875
transcript.pyannote[2680].end 12259.53284375
transcript.pyannote[2681].speaker SPEAKER_15
transcript.pyannote[2681].start 12263.90346875
transcript.pyannote[2681].end 12272.05409375
transcript.pyannote[2682].speaker SPEAKER_33
transcript.pyannote[2682].start 12265.23659375
transcript.pyannote[2682].end 12266.51909375
transcript.pyannote[2683].speaker SPEAKER_33
transcript.pyannote[2683].start 12266.65409375
transcript.pyannote[2683].end 12267.63284375
transcript.pyannote[2684].speaker SPEAKER_15
transcript.pyannote[2684].start 12272.42534375
transcript.pyannote[2684].end 12275.10846875
transcript.pyannote[2685].speaker SPEAKER_15
transcript.pyannote[2685].start 12275.63159375
transcript.pyannote[2685].end 12282.76971875
transcript.pyannote[2686].speaker SPEAKER_33
transcript.pyannote[2686].start 12275.74971875
transcript.pyannote[2686].end 12277.70721875
transcript.pyannote[2687].speaker SPEAKER_33
transcript.pyannote[2687].start 12278.19659375
transcript.pyannote[2687].end 12280.67721875
transcript.pyannote[2688].speaker SPEAKER_33
transcript.pyannote[2688].start 12282.76971875
transcript.pyannote[2688].end 12292.97909375
transcript.pyannote[2689].speaker SPEAKER_15
transcript.pyannote[2689].start 12283.81596875
transcript.pyannote[2689].end 12286.22909375
transcript.pyannote[2690].speaker SPEAKER_15
transcript.pyannote[2690].start 12287.02221875
transcript.pyannote[2690].end 12287.22471875
transcript.pyannote[2691].speaker SPEAKER_15
transcript.pyannote[2691].start 12287.76471875
transcript.pyannote[2691].end 12288.65909375
transcript.pyannote[2692].speaker SPEAKER_15
transcript.pyannote[2692].start 12291.13971875
transcript.pyannote[2692].end 12291.30846875
transcript.pyannote[2693].speaker SPEAKER_35
transcript.pyannote[2693].start 12291.30846875
transcript.pyannote[2693].end 12291.35909375
transcript.pyannote[2694].speaker SPEAKER_15
transcript.pyannote[2694].start 12292.55721875
transcript.pyannote[2694].end 12301.24784375
transcript.pyannote[2695].speaker SPEAKER_33
transcript.pyannote[2695].start 12294.29534375
transcript.pyannote[2695].end 12295.44284375
transcript.pyannote[2696].speaker SPEAKER_15
transcript.pyannote[2696].start 12302.74971875
transcript.pyannote[2696].end 12304.03221875
transcript.pyannote[2697].speaker SPEAKER_33
transcript.pyannote[2697].start 12304.03221875
transcript.pyannote[2697].end 12306.93471875
transcript.pyannote[2698].speaker SPEAKER_31
transcript.pyannote[2698].start 12305.48346875
transcript.pyannote[2698].end 12307.32284375
transcript.pyannote[2699].speaker SPEAKER_15
transcript.pyannote[2699].start 12307.42409375
transcript.pyannote[2699].end 12307.44096875
transcript.pyannote[2700].speaker SPEAKER_31
transcript.pyannote[2700].start 12307.44096875
transcript.pyannote[2700].end 12307.49159375
transcript.pyannote[2701].speaker SPEAKER_33
transcript.pyannote[2701].start 12307.49159375
transcript.pyannote[2701].end 12310.96784375
transcript.pyannote[2702].speaker SPEAKER_15
transcript.pyannote[2702].start 12310.96784375
transcript.pyannote[2702].end 12323.77596875
transcript.pyannote[2703].speaker SPEAKER_33
transcript.pyannote[2703].start 12322.79721875
transcript.pyannote[2703].end 12323.38784375
transcript.pyannote[2704].speaker SPEAKER_33
transcript.pyannote[2704].start 12323.77596875
transcript.pyannote[2704].end 12351.24846875
transcript.pyannote[2705].speaker SPEAKER_15
transcript.pyannote[2705].start 12327.37034375
transcript.pyannote[2705].end 12327.40409375
transcript.pyannote[2706].speaker SPEAKER_15
transcript.pyannote[2706].start 12330.54284375
transcript.pyannote[2706].end 12330.67784375
transcript.pyannote[2707].speaker SPEAKER_31
transcript.pyannote[2707].start 12334.03596875
transcript.pyannote[2707].end 12335.08221875
transcript.pyannote[2708].speaker SPEAKER_15
transcript.pyannote[2708].start 12335.63909375
transcript.pyannote[2708].end 12335.74034375
transcript.pyannote[2709].speaker SPEAKER_31
transcript.pyannote[2709].start 12335.74034375
transcript.pyannote[2709].end 12336.33096875
transcript.pyannote[2710].speaker SPEAKER_15
transcript.pyannote[2710].start 12336.33096875
transcript.pyannote[2710].end 12336.36471875
transcript.pyannote[2711].speaker SPEAKER_31
transcript.pyannote[2711].start 12338.79471875
transcript.pyannote[2711].end 12338.94659375
transcript.pyannote[2712].speaker SPEAKER_14
transcript.pyannote[2712].start 12338.94659375
transcript.pyannote[2712].end 12339.25034375
transcript.pyannote[2713].speaker SPEAKER_31
transcript.pyannote[2713].start 12339.25034375
transcript.pyannote[2713].end 12339.48659375
transcript.pyannote[2714].speaker SPEAKER_14
transcript.pyannote[2714].start 12339.48659375
transcript.pyannote[2714].end 12339.55409375
transcript.pyannote[2715].speaker SPEAKER_14
transcript.pyannote[2715].start 12342.03471875
transcript.pyannote[2715].end 12342.57471875
transcript.pyannote[2716].speaker SPEAKER_14
transcript.pyannote[2716].start 12344.71784375
transcript.pyannote[2716].end 12344.97096875
transcript.pyannote[2717].speaker SPEAKER_35
transcript.pyannote[2717].start 12344.97096875
transcript.pyannote[2717].end 12344.98784375
transcript.pyannote[2718].speaker SPEAKER_15
transcript.pyannote[2718].start 12349.74659375
transcript.pyannote[2718].end 12351.26534375
transcript.pyannote[2719].speaker SPEAKER_33
transcript.pyannote[2719].start 12351.26534375
transcript.pyannote[2719].end 12351.82221875
transcript.pyannote[2720].speaker SPEAKER_15
transcript.pyannote[2720].start 12351.82221875
transcript.pyannote[2720].end 12351.90659375
transcript.pyannote[2721].speaker SPEAKER_33
transcript.pyannote[2721].start 12351.90659375
transcript.pyannote[2721].end 12351.97409375
transcript.pyannote[2722].speaker SPEAKER_15
transcript.pyannote[2722].start 12351.97409375
transcript.pyannote[2722].end 12356.86784375
transcript.pyannote[2723].speaker SPEAKER_15
transcript.pyannote[2723].start 12357.12096875
transcript.pyannote[2723].end 12360.36096875
transcript.pyannote[2724].speaker SPEAKER_33
transcript.pyannote[2724].start 12358.35284375
transcript.pyannote[2724].end 12359.97284375
transcript.pyannote[2725].speaker SPEAKER_15
transcript.pyannote[2725].start 12360.44534375
transcript.pyannote[2725].end 12365.08596875
transcript.pyannote[2726].speaker SPEAKER_33
transcript.pyannote[2726].start 12364.41096875
transcript.pyannote[2726].end 12415.03596875
transcript.pyannote[2727].speaker SPEAKER_15
transcript.pyannote[2727].start 12365.40659375
transcript.pyannote[2727].end 12365.86221875
transcript.pyannote[2728].speaker SPEAKER_15
transcript.pyannote[2728].start 12371.75159375
transcript.pyannote[2728].end 12371.98784375
transcript.pyannote[2729].speaker SPEAKER_35
transcript.pyannote[2729].start 12371.98784375
transcript.pyannote[2729].end 12372.05534375
transcript.pyannote[2730].speaker SPEAKER_15
transcript.pyannote[2730].start 12372.05534375
transcript.pyannote[2730].end 12372.27471875
transcript.pyannote[2731].speaker SPEAKER_35
transcript.pyannote[2731].start 12372.27471875
transcript.pyannote[2731].end 12372.40971875
transcript.pyannote[2732].speaker SPEAKER_15
transcript.pyannote[2732].start 12372.40971875
transcript.pyannote[2732].end 12372.42659375
transcript.pyannote[2733].speaker SPEAKER_35
transcript.pyannote[2733].start 12372.42659375
transcript.pyannote[2733].end 12372.46034375
transcript.pyannote[2734].speaker SPEAKER_35
transcript.pyannote[2734].start 12374.14784375
transcript.pyannote[2734].end 12375.24471875
transcript.pyannote[2735].speaker SPEAKER_31
transcript.pyannote[2735].start 12385.42034375
transcript.pyannote[2735].end 12385.72409375
transcript.pyannote[2736].speaker SPEAKER_31
transcript.pyannote[2736].start 12389.06534375
transcript.pyannote[2736].end 12389.52096875
transcript.pyannote[2737].speaker SPEAKER_08
transcript.pyannote[2737].start 12391.19159375
transcript.pyannote[2737].end 12391.64721875
transcript.pyannote[2738].speaker SPEAKER_08
transcript.pyannote[2738].start 12392.05221875
transcript.pyannote[2738].end 12392.10284375
transcript.pyannote[2739].speaker SPEAKER_08
transcript.pyannote[2739].start 12392.94659375
transcript.pyannote[2739].end 12393.11534375
transcript.pyannote[2740].speaker SPEAKER_15
transcript.pyannote[2740].start 12396.49034375
transcript.pyannote[2740].end 12397.46909375
transcript.pyannote[2741].speaker SPEAKER_15
transcript.pyannote[2741].start 12399.24096875
transcript.pyannote[2741].end 12399.25784375
transcript.pyannote[2742].speaker SPEAKER_08
transcript.pyannote[2742].start 12399.25784375
transcript.pyannote[2742].end 12399.27471875
transcript.pyannote[2743].speaker SPEAKER_15
transcript.pyannote[2743].start 12399.27471875
transcript.pyannote[2743].end 12400.48971875
transcript.pyannote[2744].speaker SPEAKER_15
transcript.pyannote[2744].start 12400.52346875
transcript.pyannote[2744].end 12400.54034375
transcript.pyannote[2745].speaker SPEAKER_15
transcript.pyannote[2745].start 12400.57409375
transcript.pyannote[2745].end 12400.96221875
transcript.pyannote[2746].speaker SPEAKER_33
transcript.pyannote[2746].start 12415.06971875
transcript.pyannote[2746].end 12415.15409375
transcript.pyannote[2747].speaker SPEAKER_31
transcript.pyannote[2747].start 12415.15409375
transcript.pyannote[2747].end 12415.20471875
transcript.pyannote[2748].speaker SPEAKER_33
transcript.pyannote[2748].start 12415.20471875
transcript.pyannote[2748].end 12417.87096875
transcript.pyannote[2749].speaker SPEAKER_31
transcript.pyannote[2749].start 12415.22159375
transcript.pyannote[2749].end 12415.47471875
transcript.pyannote[2750].speaker SPEAKER_33
transcript.pyannote[2750].start 12418.19159375
transcript.pyannote[2750].end 12421.88721875
transcript.pyannote[2751].speaker SPEAKER_33
transcript.pyannote[2751].start 12422.74784375
transcript.pyannote[2751].end 12429.31221875
transcript.pyannote[2752].speaker SPEAKER_33
transcript.pyannote[2752].start 12429.75096875
transcript.pyannote[2752].end 12433.22721875
transcript.pyannote[2753].speaker SPEAKER_33
transcript.pyannote[2753].start 12433.51409375
transcript.pyannote[2753].end 12434.69534375
transcript.pyannote[2754].speaker SPEAKER_33
transcript.pyannote[2754].start 12435.03284375
transcript.pyannote[2754].end 12436.63596875
transcript.pyannote[2755].speaker SPEAKER_33
transcript.pyannote[2755].start 12437.27721875
transcript.pyannote[2755].end 12437.73284375
transcript.pyannote[2756].speaker SPEAKER_30
transcript.pyannote[2756].start 12438.30659375
transcript.pyannote[2756].end 12445.78221875
transcript.pyannote[2757].speaker SPEAKER_33
transcript.pyannote[2757].start 12440.43284375
transcript.pyannote[2757].end 12440.88846875
transcript.pyannote[2758].speaker SPEAKER_33
transcript.pyannote[2758].start 12442.45784375
transcript.pyannote[2758].end 12443.11596875
transcript.pyannote[2759].speaker SPEAKER_33
transcript.pyannote[2759].start 12444.26346875
transcript.pyannote[2759].end 12444.39846875
transcript.pyannote[2760].speaker SPEAKER_33
transcript.pyannote[2760].start 12445.91721875
transcript.pyannote[2760].end 12453.46034375
transcript.pyannote[2761].speaker SPEAKER_30
transcript.pyannote[2761].start 12454.06784375
transcript.pyannote[2761].end 12473.03534375
transcript.pyannote[2762].speaker SPEAKER_33
transcript.pyannote[2762].start 12455.19846875
transcript.pyannote[2762].end 12455.23221875
transcript.pyannote[2763].speaker SPEAKER_00
transcript.pyannote[2763].start 12463.58534375
transcript.pyannote[2763].end 12464.04096875
transcript.pyannote[2764].speaker SPEAKER_33
transcript.pyannote[2764].start 12471.75284375
transcript.pyannote[2764].end 12472.17471875
transcript.pyannote[2765].speaker SPEAKER_33
transcript.pyannote[2765].start 12473.03534375
transcript.pyannote[2765].end 12473.42346875
transcript.pyannote[2766].speaker SPEAKER_30
transcript.pyannote[2766].start 12473.42346875
transcript.pyannote[2766].end 12474.92534375
transcript.pyannote[2767].speaker SPEAKER_33
transcript.pyannote[2767].start 12473.45721875
transcript.pyannote[2767].end 12492.17159375
transcript.pyannote[2768].speaker SPEAKER_31
transcript.pyannote[2768].start 12489.50534375
transcript.pyannote[2768].end 12489.55596875
transcript.pyannote[2769].speaker SPEAKER_31
transcript.pyannote[2769].start 12489.57284375
transcript.pyannote[2769].end 12489.58971875
transcript.pyannote[2770].speaker SPEAKER_30
transcript.pyannote[2770].start 12489.58971875
transcript.pyannote[2770].end 12493.18409375
transcript.pyannote[2771].speaker SPEAKER_33
transcript.pyannote[2771].start 12493.18409375
transcript.pyannote[2771].end 12502.76909375
transcript.pyannote[2772].speaker SPEAKER_30
transcript.pyannote[2772].start 12493.21784375
transcript.pyannote[2772].end 12494.09534375
transcript.pyannote[2773].speaker SPEAKER_30
transcript.pyannote[2773].start 12498.31409375
transcript.pyannote[2773].end 12498.83721875
transcript.pyannote[2774].speaker SPEAKER_31
transcript.pyannote[2774].start 12498.83721875
transcript.pyannote[2774].end 12498.93846875
transcript.pyannote[2775].speaker SPEAKER_33
transcript.pyannote[2775].start 12503.68034375
transcript.pyannote[2775].end 12508.47284375
transcript.pyannote[2776].speaker SPEAKER_33
transcript.pyannote[2776].start 12509.36721875
transcript.pyannote[2776].end 12511.05471875
transcript.pyannote[2777].speaker SPEAKER_33
transcript.pyannote[2777].start 12511.62846875
transcript.pyannote[2777].end 12513.19784375
transcript.pyannote[2778].speaker SPEAKER_33
transcript.pyannote[2778].start 12513.85596875
transcript.pyannote[2778].end 12515.47596875
transcript.pyannote[2779].speaker SPEAKER_30
transcript.pyannote[2779].start 12515.47596875
transcript.pyannote[2779].end 12515.50971875
transcript.pyannote[2780].speaker SPEAKER_33
transcript.pyannote[2780].start 12516.47159375
transcript.pyannote[2780].end 12516.48846875
transcript.pyannote[2781].speaker SPEAKER_30
transcript.pyannote[2781].start 12516.48846875
transcript.pyannote[2781].end 12528.03096875
transcript.pyannote[2782].speaker SPEAKER_33
transcript.pyannote[2782].start 12523.74471875
transcript.pyannote[2782].end 12523.81221875
transcript.pyannote[2783].speaker SPEAKER_33
transcript.pyannote[2783].start 12523.87971875
transcript.pyannote[2783].end 12523.91346875
transcript.pyannote[2784].speaker SPEAKER_33
transcript.pyannote[2784].start 12524.30159375
transcript.pyannote[2784].end 12526.05659375
transcript.pyannote[2785].speaker SPEAKER_31
transcript.pyannote[2785].start 12527.81159375
transcript.pyannote[2785].end 12527.82846875
transcript.pyannote[2786].speaker SPEAKER_33
transcript.pyannote[2786].start 12527.82846875
transcript.pyannote[2786].end 12531.32159375
transcript.pyannote[2787].speaker SPEAKER_33
transcript.pyannote[2787].start 12532.24971875
transcript.pyannote[2787].end 12533.95409375
transcript.pyannote[2788].speaker SPEAKER_33
transcript.pyannote[2788].start 12534.74721875
transcript.pyannote[2788].end 12538.40909375
transcript.pyannote[2789].speaker SPEAKER_02
transcript.pyannote[2789].start 12538.69596875
transcript.pyannote[2789].end 12539.48909375
transcript.pyannote[2790].speaker SPEAKER_33
transcript.pyannote[2790].start 12539.03346875
transcript.pyannote[2790].end 12539.38784375
transcript.pyannote[2791].speaker SPEAKER_33
transcript.pyannote[2791].start 12539.48909375
transcript.pyannote[2791].end 12540.06284375
transcript.pyannote[2792].speaker SPEAKER_02
transcript.pyannote[2792].start 12540.06284375
transcript.pyannote[2792].end 12540.56909375
transcript.pyannote[2793].speaker SPEAKER_33
transcript.pyannote[2793].start 12540.56909375
transcript.pyannote[2793].end 12540.60284375
transcript.pyannote[2794].speaker SPEAKER_02
transcript.pyannote[2794].start 12540.90659375
transcript.pyannote[2794].end 12542.88096875
transcript.pyannote[2795].speaker SPEAKER_32
transcript.pyannote[2795].start 12543.35346875
transcript.pyannote[2795].end 12546.12096875
transcript.pyannote[2796].speaker SPEAKER_32
transcript.pyannote[2796].start 12547.60596875
transcript.pyannote[2796].end 12549.04034375
transcript.pyannote[2797].speaker SPEAKER_07
transcript.pyannote[2797].start 12549.74909375
transcript.pyannote[2797].end 12550.64346875
transcript.pyannote[2798].speaker SPEAKER_32
transcript.pyannote[2798].start 12550.74471875
transcript.pyannote[2798].end 12552.41534375
transcript.pyannote[2799].speaker SPEAKER_07
transcript.pyannote[2799].start 12550.77846875
transcript.pyannote[2799].end 12552.38159375
transcript.pyannote[2800].speaker SPEAKER_07
transcript.pyannote[2800].start 12552.78659375
transcript.pyannote[2800].end 12554.96346875
transcript.pyannote[2801].speaker SPEAKER_31
transcript.pyannote[2801].start 12553.71471875
transcript.pyannote[2801].end 12553.84971875
transcript.pyannote[2802].speaker SPEAKER_14
transcript.pyannote[2802].start 12553.84971875
transcript.pyannote[2802].end 12554.03534375
transcript.pyannote[2803].speaker SPEAKER_10
transcript.pyannote[2803].start 12554.03534375
transcript.pyannote[2803].end 12554.92971875
transcript.pyannote[2804].speaker SPEAKER_14
transcript.pyannote[2804].start 12554.92971875
transcript.pyannote[2804].end 12555.04784375
transcript.pyannote[2805].speaker SPEAKER_10
transcript.pyannote[2805].start 12554.96346875
transcript.pyannote[2805].end 12555.03096875
transcript.pyannote[2806].speaker SPEAKER_07
transcript.pyannote[2806].start 12555.03096875
transcript.pyannote[2806].end 12555.14909375
transcript.pyannote[2807].speaker SPEAKER_10
transcript.pyannote[2807].start 12555.04784375
transcript.pyannote[2807].end 12555.95909375
transcript.pyannote[2808].speaker SPEAKER_07
transcript.pyannote[2808].start 12555.95909375
transcript.pyannote[2808].end 12555.97596875
transcript.pyannote[2809].speaker SPEAKER_02
transcript.pyannote[2809].start 12555.97596875
transcript.pyannote[2809].end 12555.99284375
transcript.pyannote[2810].speaker SPEAKER_32
transcript.pyannote[2810].start 12555.99284375
transcript.pyannote[2810].end 12556.04346875
transcript.pyannote[2811].speaker SPEAKER_33
transcript.pyannote[2811].start 12556.04346875
transcript.pyannote[2811].end 12563.08034375
transcript.pyannote[2812].speaker SPEAKER_07
transcript.pyannote[2812].start 12563.26596875
transcript.pyannote[2812].end 12564.59909375
transcript.pyannote[2813].speaker SPEAKER_07
transcript.pyannote[2813].start 12565.62846875
transcript.pyannote[2813].end 12567.82221875
transcript.pyannote[2814].speaker SPEAKER_26
transcript.pyannote[2814].start 12572.95221875
transcript.pyannote[2814].end 12575.38221875
transcript.pyannote[2815].speaker SPEAKER_07
transcript.pyannote[2815].start 12576.14159375
transcript.pyannote[2815].end 12577.30596875
transcript.pyannote[2816].speaker SPEAKER_26
transcript.pyannote[2816].start 12581.18721875
transcript.pyannote[2816].end 12581.72721875
transcript.pyannote[2817].speaker SPEAKER_26
transcript.pyannote[2817].start 12581.96346875
transcript.pyannote[2817].end 12588.57846875
transcript.pyannote[2818].speaker SPEAKER_28
transcript.pyannote[2818].start 12588.57846875
transcript.pyannote[2818].end 12588.98346875
transcript.pyannote[2819].speaker SPEAKER_26
transcript.pyannote[2819].start 12589.42221875
transcript.pyannote[2819].end 12602.29784375
transcript.pyannote[2820].speaker SPEAKER_26
transcript.pyannote[2820].start 12603.02346875
transcript.pyannote[2820].end 12622.83471875
transcript.pyannote[2821].speaker SPEAKER_26
transcript.pyannote[2821].start 12623.35784375
transcript.pyannote[2821].end 12647.42159375
transcript.pyannote[2822].speaker SPEAKER_26
transcript.pyannote[2822].start 12647.72534375
transcript.pyannote[2822].end 12648.48471875
transcript.pyannote[2823].speaker SPEAKER_26
transcript.pyannote[2823].start 12649.05846875
transcript.pyannote[2823].end 12649.17659375
transcript.pyannote[2824].speaker SPEAKER_30
transcript.pyannote[2824].start 12649.17659375
transcript.pyannote[2824].end 12649.64909375
transcript.pyannote[2825].speaker SPEAKER_26
transcript.pyannote[2825].start 12649.64909375
transcript.pyannote[2825].end 12649.66596875
transcript.pyannote[2826].speaker SPEAKER_30
transcript.pyannote[2826].start 12650.22284375
transcript.pyannote[2826].end 12693.79409375
transcript.pyannote[2827].speaker SPEAKER_31
transcript.pyannote[2827].start 12656.70284375
transcript.pyannote[2827].end 12657.05721875
transcript.pyannote[2828].speaker SPEAKER_22
transcript.pyannote[2828].start 12657.05721875
transcript.pyannote[2828].end 12657.07409375
transcript.pyannote[2829].speaker SPEAKER_00
transcript.pyannote[2829].start 12657.07409375
transcript.pyannote[2829].end 12657.09096875
transcript.pyannote[2830].speaker SPEAKER_00
transcript.pyannote[2830].start 12661.09034375
transcript.pyannote[2830].end 12661.63034375
transcript.pyannote[2831].speaker SPEAKER_00
transcript.pyannote[2831].start 12664.56659375
transcript.pyannote[2831].end 12664.95471875
transcript.pyannote[2832].speaker SPEAKER_26
transcript.pyannote[2832].start 12692.25846875
transcript.pyannote[2832].end 12793.54221875
transcript.pyannote[2833].speaker SPEAKER_30
transcript.pyannote[2833].start 12698.01284375
transcript.pyannote[2833].end 12698.35034375
transcript.pyannote[2834].speaker SPEAKER_30
transcript.pyannote[2834].start 12699.86909375
transcript.pyannote[2834].end 12699.97034375
transcript.pyannote[2835].speaker SPEAKER_26
transcript.pyannote[2835].start 12793.81221875
transcript.pyannote[2835].end 12801.01784375
transcript.pyannote[2836].speaker SPEAKER_30
transcript.pyannote[2836].start 12801.50721875
transcript.pyannote[2836].end 12831.35909375
transcript.pyannote[2837].speaker SPEAKER_26
transcript.pyannote[2837].start 12804.54471875
transcript.pyannote[2837].end 12807.05909375
transcript.pyannote[2838].speaker SPEAKER_26
transcript.pyannote[2838].start 12812.86409375
transcript.pyannote[2838].end 12812.88096875
transcript.pyannote[2839].speaker SPEAKER_20
transcript.pyannote[2839].start 12812.88096875
transcript.pyannote[2839].end 12813.25221875
transcript.pyannote[2840].speaker SPEAKER_00
transcript.pyannote[2840].start 12819.73221875
transcript.pyannote[2840].end 12820.22159375
transcript.pyannote[2841].speaker SPEAKER_00
transcript.pyannote[2841].start 12825.03096875
transcript.pyannote[2841].end 12825.50346875
transcript.pyannote[2842].speaker SPEAKER_30
transcript.pyannote[2842].start 12831.62909375
transcript.pyannote[2842].end 12844.84221875
transcript.pyannote[2843].speaker SPEAKER_26
transcript.pyannote[2843].start 12843.10409375
transcript.pyannote[2843].end 12843.64409375
transcript.pyannote[2844].speaker SPEAKER_26
transcript.pyannote[2844].start 12844.57221875
transcript.pyannote[2844].end 12912.47721875
transcript.pyannote[2845].speaker SPEAKER_30
transcript.pyannote[2845].start 12848.08221875
transcript.pyannote[2845].end 12848.11596875
transcript.pyannote[2846].speaker SPEAKER_26
transcript.pyannote[2846].start 12913.48971875
transcript.pyannote[2846].end 12915.70034375
transcript.pyannote[2847].speaker SPEAKER_26
transcript.pyannote[2847].start 12916.61159375
transcript.pyannote[2847].end 12923.93534375
transcript.pyannote[2848].speaker SPEAKER_26
transcript.pyannote[2848].start 12924.32346875
transcript.pyannote[2848].end 12925.08284375
transcript.pyannote[2849].speaker SPEAKER_26
transcript.pyannote[2849].start 12925.82534375
transcript.pyannote[2849].end 12926.33159375
transcript.pyannote[2850].speaker SPEAKER_26
transcript.pyannote[2850].start 12926.87159375
transcript.pyannote[2850].end 12927.59721875
transcript.pyannote[2851].speaker SPEAKER_26
transcript.pyannote[2851].start 12927.66471875
transcript.pyannote[2851].end 12928.69409375
transcript.pyannote[2852].speaker SPEAKER_26
transcript.pyannote[2852].start 12929.13284375
transcript.pyannote[2852].end 12955.93034375
transcript.pyannote[2853].speaker SPEAKER_30
transcript.pyannote[2853].start 12956.47034375
transcript.pyannote[2853].end 12994.42221875
transcript.pyannote[2854].speaker SPEAKER_26
transcript.pyannote[2854].start 12964.68846875
transcript.pyannote[2854].end 12964.77284375
transcript.pyannote[2855].speaker SPEAKER_28
transcript.pyannote[2855].start 12964.77284375
transcript.pyannote[2855].end 12964.97534375
transcript.pyannote[2856].speaker SPEAKER_29
transcript.pyannote[2856].start 12964.97534375
transcript.pyannote[2856].end 12965.05971875
transcript.pyannote[2857].speaker SPEAKER_28
transcript.pyannote[2857].start 12965.05971875
transcript.pyannote[2857].end 12965.14409375
transcript.pyannote[2858].speaker SPEAKER_29
transcript.pyannote[2858].start 12966.96659375
transcript.pyannote[2858].end 12970.08846875
transcript.pyannote[2859].speaker SPEAKER_00
transcript.pyannote[2859].start 12971.87721875
transcript.pyannote[2859].end 12971.96159375
transcript.pyannote[2860].speaker SPEAKER_00
transcript.pyannote[2860].start 12977.02409375
transcript.pyannote[2860].end 12978.42471875
transcript.pyannote[2861].speaker SPEAKER_00
transcript.pyannote[2861].start 12979.94346875
transcript.pyannote[2861].end 12980.02784375
transcript.pyannote[2862].speaker SPEAKER_21
transcript.pyannote[2862].start 12980.02784375
transcript.pyannote[2862].end 12980.77034375
transcript.pyannote[2863].speaker SPEAKER_00
transcript.pyannote[2863].start 12980.77034375
transcript.pyannote[2863].end 12980.80409375
transcript.pyannote[2864].speaker SPEAKER_26
transcript.pyannote[2864].start 12992.88659375
transcript.pyannote[2864].end 12993.74721875
transcript.pyannote[2865].speaker SPEAKER_26
transcript.pyannote[2865].start 12993.91596875
transcript.pyannote[2865].end 13013.06909375
transcript.pyannote[2866].speaker SPEAKER_26
transcript.pyannote[2866].start 13013.47409375
transcript.pyannote[2866].end 13014.57096875
transcript.pyannote[2867].speaker SPEAKER_30
transcript.pyannote[2867].start 13014.94221875
transcript.pyannote[2867].end 13027.86846875
transcript.pyannote[2868].speaker SPEAKER_26
transcript.pyannote[2868].start 13026.97409375
transcript.pyannote[2868].end 13031.98596875
transcript.pyannote[2869].speaker SPEAKER_26
transcript.pyannote[2869].start 13032.32346875
transcript.pyannote[2869].end 13069.44846875
transcript.pyannote[2870].speaker SPEAKER_26
transcript.pyannote[2870].start 13069.83659375
transcript.pyannote[2870].end 13115.31471875
transcript.pyannote[2871].speaker SPEAKER_30
transcript.pyannote[2871].start 13115.98971875
transcript.pyannote[2871].end 13144.18784375
transcript.pyannote[2872].speaker SPEAKER_26
transcript.pyannote[2872].start 13116.00659375
transcript.pyannote[2872].end 13116.95159375
transcript.pyannote[2873].speaker SPEAKER_26
transcript.pyannote[2873].start 13143.15846875
transcript.pyannote[2873].end 13152.28784375
transcript.pyannote[2874].speaker SPEAKER_30
transcript.pyannote[2874].start 13150.12784375
transcript.pyannote[2874].end 13150.34721875
transcript.pyannote[2875].speaker SPEAKER_30
transcript.pyannote[2875].start 13152.57471875
transcript.pyannote[2875].end 13157.62034375
transcript.pyannote[2876].speaker SPEAKER_26
transcript.pyannote[2876].start 13157.24909375
transcript.pyannote[2876].end 13163.00346875
transcript.pyannote[2877].speaker SPEAKER_30
transcript.pyannote[2877].start 13163.44221875
transcript.pyannote[2877].end 13168.92659375
transcript.pyannote[2878].speaker SPEAKER_26
transcript.pyannote[2878].start 13167.35721875
transcript.pyannote[2878].end 13171.52534375
transcript.pyannote[2879].speaker SPEAKER_30
transcript.pyannote[2879].start 13170.17534375
transcript.pyannote[2879].end 13178.86596875
transcript.pyannote[2880].speaker SPEAKER_26
transcript.pyannote[2880].start 13178.17409375
transcript.pyannote[2880].end 13179.06846875
transcript.pyannote[2881].speaker SPEAKER_26
transcript.pyannote[2881].start 13179.43971875
transcript.pyannote[2881].end 13205.42721875
transcript.pyannote[2882].speaker SPEAKER_26
transcript.pyannote[2882].start 13206.01784375
transcript.pyannote[2882].end 13214.62409375
transcript.pyannote[2883].speaker SPEAKER_30
transcript.pyannote[2883].start 13215.02909375
transcript.pyannote[2883].end 13225.20471875
transcript.pyannote[2884].speaker SPEAKER_26
transcript.pyannote[2884].start 13218.69096875
transcript.pyannote[2884].end 13219.53471875
transcript.pyannote[2885].speaker SPEAKER_26
transcript.pyannote[2885].start 13221.34034375
transcript.pyannote[2885].end 13229.77784375
transcript.pyannote[2886].speaker SPEAKER_30
transcript.pyannote[2886].start 13228.17471875
transcript.pyannote[2886].end 13233.13596875
transcript.pyannote[2887].speaker SPEAKER_26
transcript.pyannote[2887].start 13230.58784375
transcript.pyannote[2887].end 13231.11096875
transcript.pyannote[2888].speaker SPEAKER_26
transcript.pyannote[2888].start 13233.32159375
transcript.pyannote[2888].end 13235.36346875
transcript.pyannote[2889].speaker SPEAKER_30
transcript.pyannote[2889].start 13235.02596875
transcript.pyannote[2889].end 13241.47221875
transcript.pyannote[2890].speaker SPEAKER_26
transcript.pyannote[2890].start 13236.27471875
transcript.pyannote[2890].end 13236.93284375
transcript.pyannote[2891].speaker SPEAKER_26
transcript.pyannote[2891].start 13238.56971875
transcript.pyannote[2891].end 13239.68346875
transcript.pyannote[2892].speaker SPEAKER_26
transcript.pyannote[2892].start 13241.53971875
transcript.pyannote[2892].end 13247.90159375
transcript.pyannote[2893].speaker SPEAKER_30
transcript.pyannote[2893].start 13248.20534375
transcript.pyannote[2893].end 13258.11096875
transcript.pyannote[2894].speaker SPEAKER_26
transcript.pyannote[2894].start 13257.92534375
transcript.pyannote[2894].end 13260.03471875
transcript.pyannote[2895].speaker SPEAKER_30
transcript.pyannote[2895].start 13260.54096875
transcript.pyannote[2895].end 13265.26596875
transcript.pyannote[2896].speaker SPEAKER_26
transcript.pyannote[2896].start 13261.08096875
transcript.pyannote[2896].end 13262.53221875
transcript.pyannote[2897].speaker SPEAKER_26
transcript.pyannote[2897].start 13264.65846875
transcript.pyannote[2897].end 13294.57784375
transcript.pyannote[2898].speaker SPEAKER_26
transcript.pyannote[2898].start 13294.86471875
transcript.pyannote[2898].end 13297.04159375
transcript.pyannote[2899].speaker SPEAKER_26
transcript.pyannote[2899].start 13297.81784375
transcript.pyannote[2899].end 13299.04971875
transcript.pyannote[2900].speaker SPEAKER_30
transcript.pyannote[2900].start 13297.83471875
transcript.pyannote[2900].end 13298.86409375
transcript.pyannote[2901].speaker SPEAKER_30
transcript.pyannote[2901].start 13299.21846875
transcript.pyannote[2901].end 13304.65221875
transcript.pyannote[2902].speaker SPEAKER_26
transcript.pyannote[2902].start 13303.06596875
transcript.pyannote[2902].end 13303.58909375
transcript.pyannote[2903].speaker SPEAKER_26
transcript.pyannote[2903].start 13304.34846875
transcript.pyannote[2903].end 13331.07846875
transcript.pyannote[2904].speaker SPEAKER_31
transcript.pyannote[2904].start 13322.13471875
transcript.pyannote[2904].end 13323.09659375
transcript.pyannote[2905].speaker SPEAKER_30
transcript.pyannote[2905].start 13330.04909375
transcript.pyannote[2905].end 13336.64721875
transcript.pyannote[2906].speaker SPEAKER_26
transcript.pyannote[2906].start 13336.03971875
transcript.pyannote[2906].end 13339.87034375
transcript.pyannote[2907].speaker SPEAKER_30
transcript.pyannote[2907].start 13340.61284375
transcript.pyannote[2907].end 13346.33346875
transcript.pyannote[2908].speaker SPEAKER_26
transcript.pyannote[2908].start 13342.87409375
transcript.pyannote[2908].end 13343.86971875
transcript.pyannote[2909].speaker SPEAKER_26
transcript.pyannote[2909].start 13344.40971875
transcript.pyannote[2909].end 13344.83159375
transcript.pyannote[2910].speaker SPEAKER_26
transcript.pyannote[2910].start 13345.91159375
transcript.pyannote[2910].end 13349.67471875
transcript.pyannote[2911].speaker SPEAKER_30
transcript.pyannote[2911].start 13347.43034375
transcript.pyannote[2911].end 13350.75471875
transcript.pyannote[2912].speaker SPEAKER_26
transcript.pyannote[2912].start 13350.19784375
transcript.pyannote[2912].end 13354.46721875
transcript.pyannote[2913].speaker SPEAKER_30
transcript.pyannote[2913].start 13351.80096875
transcript.pyannote[2913].end 13352.34096875
transcript.pyannote[2914].speaker SPEAKER_07
transcript.pyannote[2914].start 13354.92284375
transcript.pyannote[2914].end 13355.53034375
transcript.pyannote[2915].speaker SPEAKER_07
transcript.pyannote[2915].start 13359.49596875
transcript.pyannote[2915].end 13363.02284375
transcript.pyannote[2916].speaker SPEAKER_23
transcript.pyannote[2916].start 13367.84909375
transcript.pyannote[2916].end 13371.22409375
transcript.pyannote[2917].speaker SPEAKER_07
transcript.pyannote[2917].start 13371.71346875
transcript.pyannote[2917].end 13372.96221875
transcript.pyannote[2918].speaker SPEAKER_07
transcript.pyannote[2918].start 13373.41784375
transcript.pyannote[2918].end 13374.54846875
transcript.pyannote[2919].speaker SPEAKER_23
transcript.pyannote[2919].start 13379.08784375
transcript.pyannote[2919].end 13380.35346875
transcript.pyannote[2920].speaker SPEAKER_23
transcript.pyannote[2920].start 13380.84284375
transcript.pyannote[2920].end 13387.66034375
transcript.pyannote[2921].speaker SPEAKER_23
transcript.pyannote[2921].start 13388.52096875
transcript.pyannote[2921].end 13478.63346875
transcript.pyannote[2922].speaker SPEAKER_23
transcript.pyannote[2922].start 13479.22409375
transcript.pyannote[2922].end 13548.00659375
transcript.pyannote[2923].speaker SPEAKER_23
transcript.pyannote[2923].start 13549.08659375
transcript.pyannote[2923].end 13549.77846875
transcript.pyannote[2924].speaker SPEAKER_23
transcript.pyannote[2924].start 13550.70659375
transcript.pyannote[2924].end 13559.66721875
transcript.pyannote[2925].speaker SPEAKER_23
transcript.pyannote[2925].start 13560.81471875
transcript.pyannote[2925].end 13561.77659375
transcript.pyannote[2926].speaker SPEAKER_23
transcript.pyannote[2926].start 13562.70471875
transcript.pyannote[2926].end 13576.10346875
transcript.pyannote[2927].speaker SPEAKER_23
transcript.pyannote[2927].start 13577.55471875
transcript.pyannote[2927].end 13595.15534375
transcript.pyannote[2928].speaker SPEAKER_23
transcript.pyannote[2928].start 13596.45471875
transcript.pyannote[2928].end 13621.27784375
transcript.pyannote[2929].speaker SPEAKER_23
transcript.pyannote[2929].start 13621.96971875
transcript.pyannote[2929].end 13623.06659375
transcript.pyannote[2930].speaker SPEAKER_23
transcript.pyannote[2930].start 13623.69096875
transcript.pyannote[2930].end 13624.72034375
transcript.pyannote[2931].speaker SPEAKER_23
transcript.pyannote[2931].start 13625.32784375
transcript.pyannote[2931].end 13649.02034375
transcript.pyannote[2932].speaker SPEAKER_30
transcript.pyannote[2932].start 13649.05409375
transcript.pyannote[2932].end 13651.80471875
transcript.pyannote[2933].speaker SPEAKER_23
transcript.pyannote[2933].start 13651.38284375
transcript.pyannote[2933].end 13656.73221875
transcript.pyannote[2934].speaker SPEAKER_30
transcript.pyannote[2934].start 13656.59721875
transcript.pyannote[2934].end 13656.68159375
transcript.pyannote[2935].speaker SPEAKER_30
transcript.pyannote[2935].start 13656.73221875
transcript.pyannote[2935].end 13656.93471875
transcript.pyannote[2936].speaker SPEAKER_26
transcript.pyannote[2936].start 13658.97659375
transcript.pyannote[2936].end 13663.12784375
transcript.pyannote[2937].speaker SPEAKER_11
transcript.pyannote[2937].start 13668.98346875
transcript.pyannote[2937].end 13670.89034375
transcript.pyannote[2938].speaker SPEAKER_26
transcript.pyannote[2938].start 13671.26159375
transcript.pyannote[2938].end 13672.20659375
transcript.pyannote[2939].speaker SPEAKER_11
transcript.pyannote[2939].start 13679.14221875
transcript.pyannote[2939].end 13680.15471875
transcript.pyannote[2940].speaker SPEAKER_31
transcript.pyannote[2940].start 13680.15471875
transcript.pyannote[2940].end 13680.17159375
transcript.pyannote[2941].speaker SPEAKER_11
transcript.pyannote[2941].start 13680.17159375
transcript.pyannote[2941].end 13687.20846875
transcript.pyannote[2942].speaker SPEAKER_31
transcript.pyannote[2942].start 13680.18846875
transcript.pyannote[2942].end 13680.47534375
transcript.pyannote[2943].speaker SPEAKER_11
transcript.pyannote[2943].start 13687.24221875
transcript.pyannote[2943].end 13694.95409375
transcript.pyannote[2944].speaker SPEAKER_11
transcript.pyannote[2944].start 13695.52784375
transcript.pyannote[2944].end 13702.02471875
transcript.pyannote[2945].speaker SPEAKER_31
transcript.pyannote[2945].start 13701.60284375
transcript.pyannote[2945].end 13701.61971875
transcript.pyannote[2946].speaker SPEAKER_15
transcript.pyannote[2946].start 13701.61971875
transcript.pyannote[2946].end 13701.95721875
transcript.pyannote[2947].speaker SPEAKER_15
transcript.pyannote[2947].start 13702.02471875
transcript.pyannote[2947].end 13702.22721875
transcript.pyannote[2948].speaker SPEAKER_11
transcript.pyannote[2948].start 13702.22721875
transcript.pyannote[2948].end 13703.03721875
transcript.pyannote[2949].speaker SPEAKER_15
transcript.pyannote[2949].start 13703.03721875
transcript.pyannote[2949].end 13703.44221875
transcript.pyannote[2950].speaker SPEAKER_11
transcript.pyannote[2950].start 13703.44221875
transcript.pyannote[2950].end 13711.00221875
transcript.pyannote[2951].speaker SPEAKER_15
transcript.pyannote[2951].start 13703.45909375
transcript.pyannote[2951].end 13704.52221875
transcript.pyannote[2952].speaker SPEAKER_11
transcript.pyannote[2952].start 13711.33971875
transcript.pyannote[2952].end 13712.18346875
transcript.pyannote[2953].speaker SPEAKER_11
transcript.pyannote[2953].start 13712.33534375
transcript.pyannote[2953].end 13714.02284375
transcript.pyannote[2954].speaker SPEAKER_15
transcript.pyannote[2954].start 13714.02284375
transcript.pyannote[2954].end 13715.00159375
transcript.pyannote[2955].speaker SPEAKER_15
transcript.pyannote[2955].start 13715.96346875
transcript.pyannote[2955].end 13723.96221875
transcript.pyannote[2956].speaker SPEAKER_11
transcript.pyannote[2956].start 13723.96221875
transcript.pyannote[2956].end 13728.33284375
transcript.pyannote[2957].speaker SPEAKER_11
transcript.pyannote[2957].start 13728.43409375
transcript.pyannote[2957].end 13736.90534375
transcript.pyannote[2958].speaker SPEAKER_15
transcript.pyannote[2958].start 13736.90534375
transcript.pyannote[2958].end 13737.32721875
transcript.pyannote[2959].speaker SPEAKER_11
transcript.pyannote[2959].start 13737.32721875
transcript.pyannote[2959].end 13741.20846875
transcript.pyannote[2960].speaker SPEAKER_15
transcript.pyannote[2960].start 13737.37784375
transcript.pyannote[2960].end 13737.86721875
transcript.pyannote[2961].speaker SPEAKER_11
transcript.pyannote[2961].start 13741.39409375
transcript.pyannote[2961].end 13743.03096875
transcript.pyannote[2962].speaker SPEAKER_15
transcript.pyannote[2962].start 13743.03096875
transcript.pyannote[2962].end 13748.97096875
transcript.pyannote[2963].speaker SPEAKER_11
transcript.pyannote[2963].start 13748.97096875
transcript.pyannote[2963].end 13749.25784375
transcript.pyannote[2964].speaker SPEAKER_15
transcript.pyannote[2964].start 13749.74721875
transcript.pyannote[2964].end 13749.76409375
transcript.pyannote[2965].speaker SPEAKER_11
transcript.pyannote[2965].start 13749.76409375
transcript.pyannote[2965].end 13766.65596875
transcript.pyannote[2966].speaker SPEAKER_11
transcript.pyannote[2966].start 13766.89221875
transcript.pyannote[2966].end 13767.53346875
transcript.pyannote[2967].speaker SPEAKER_11
transcript.pyannote[2967].start 13768.32659375
transcript.pyannote[2967].end 13768.84971875
transcript.pyannote[2968].speaker SPEAKER_11
transcript.pyannote[2968].start 13769.50784375
transcript.pyannote[2968].end 13770.13221875
transcript.pyannote[2969].speaker SPEAKER_11
transcript.pyannote[2969].start 13770.55409375
transcript.pyannote[2969].end 13771.85346875
transcript.pyannote[2970].speaker SPEAKER_11
transcript.pyannote[2970].start 13773.25409375
transcript.pyannote[2970].end 13775.78534375
transcript.pyannote[2971].speaker SPEAKER_11
transcript.pyannote[2971].start 13777.37159375
transcript.pyannote[2971].end 13812.57284375
transcript.pyannote[2972].speaker SPEAKER_15
transcript.pyannote[2972].start 13782.70409375
transcript.pyannote[2972].end 13782.99096875
transcript.pyannote[2973].speaker SPEAKER_15
transcript.pyannote[2973].start 13784.40846875
transcript.pyannote[2973].end 13784.79659375
transcript.pyannote[2974].speaker SPEAKER_15
transcript.pyannote[2974].start 13786.21409375
transcript.pyannote[2974].end 13786.58534375
transcript.pyannote[2975].speaker SPEAKER_15
transcript.pyannote[2975].start 13788.03659375
transcript.pyannote[2975].end 13791.79971875
transcript.pyannote[2976].speaker SPEAKER_15
transcript.pyannote[2976].start 13791.81659375
transcript.pyannote[2976].end 13792.69409375
transcript.pyannote[2977].speaker SPEAKER_00
transcript.pyannote[2977].start 13805.16471875
transcript.pyannote[2977].end 13805.55284375
transcript.pyannote[2978].speaker SPEAKER_00
transcript.pyannote[2978].start 13806.98721875
transcript.pyannote[2978].end 13807.76346875
transcript.pyannote[2979].speaker SPEAKER_11
transcript.pyannote[2979].start 13813.01159375
transcript.pyannote[2979].end 13818.90096875
transcript.pyannote[2980].speaker SPEAKER_11
transcript.pyannote[2980].start 13819.28909375
transcript.pyannote[2980].end 13819.30596875
transcript.pyannote[2981].speaker SPEAKER_15
transcript.pyannote[2981].start 13819.30596875
transcript.pyannote[2981].end 13831.10159375
transcript.pyannote[2982].speaker SPEAKER_11
transcript.pyannote[2982].start 13822.25909375
transcript.pyannote[2982].end 13823.38971875
transcript.pyannote[2983].speaker SPEAKER_11
transcript.pyannote[2983].start 13826.37659375
transcript.pyannote[2983].end 13827.06846875
transcript.pyannote[2984].speaker SPEAKER_11
transcript.pyannote[2984].start 13831.10159375
transcript.pyannote[2984].end 13845.17534375
transcript.pyannote[2985].speaker SPEAKER_15
transcript.pyannote[2985].start 13831.13534375
transcript.pyannote[2985].end 13831.62471875
transcript.pyannote[2986].speaker SPEAKER_11
transcript.pyannote[2986].start 13845.51284375
transcript.pyannote[2986].end 13846.64346875
transcript.pyannote[2987].speaker SPEAKER_11
transcript.pyannote[2987].start 13848.01034375
transcript.pyannote[2987].end 13850.67659375
transcript.pyannote[2988].speaker SPEAKER_11
transcript.pyannote[2988].start 13851.90846875
transcript.pyannote[2988].end 13864.02471875
transcript.pyannote[2989].speaker SPEAKER_15
transcript.pyannote[2989].start 13861.66221875
transcript.pyannote[2989].end 13862.28659375
transcript.pyannote[2990].speaker SPEAKER_15
transcript.pyannote[2990].start 13864.02471875
transcript.pyannote[2990].end 13864.34534375
transcript.pyannote[2991].speaker SPEAKER_11
transcript.pyannote[2991].start 13864.34534375
transcript.pyannote[2991].end 13864.48034375
transcript.pyannote[2992].speaker SPEAKER_15
transcript.pyannote[2992].start 13864.48034375
transcript.pyannote[2992].end 13865.00346875
transcript.pyannote[2993].speaker SPEAKER_11
transcript.pyannote[2993].start 13865.00346875
transcript.pyannote[2993].end 13869.88034375
transcript.pyannote[2994].speaker SPEAKER_15
transcript.pyannote[2994].start 13866.30284375
transcript.pyannote[2994].end 13866.96096875
transcript.pyannote[2995].speaker SPEAKER_11
transcript.pyannote[2995].start 13870.20096875
transcript.pyannote[2995].end 13872.02346875
transcript.pyannote[2996].speaker SPEAKER_15
transcript.pyannote[2996].start 13872.02346875
transcript.pyannote[2996].end 13876.34346875
transcript.pyannote[2997].speaker SPEAKER_11
transcript.pyannote[2997].start 13876.34346875
transcript.pyannote[2997].end 13878.41909375
transcript.pyannote[2998].speaker SPEAKER_15
transcript.pyannote[2998].start 13876.37721875
transcript.pyannote[2998].end 13879.43159375
transcript.pyannote[2999].speaker SPEAKER_11
transcript.pyannote[2999].start 13878.48659375
transcript.pyannote[2999].end 13884.54471875
transcript.pyannote[3000].speaker SPEAKER_11
transcript.pyannote[3000].start 13884.96659375
transcript.pyannote[3000].end 13886.31659375
transcript.pyannote[3001].speaker SPEAKER_11
transcript.pyannote[3001].start 13886.40096875
transcript.pyannote[3001].end 13890.70409375
transcript.pyannote[3002].speaker SPEAKER_15
transcript.pyannote[3002].start 13889.15159375
transcript.pyannote[3002].end 13890.83909375
transcript.pyannote[3003].speaker SPEAKER_15
transcript.pyannote[3003].start 13890.95721875
transcript.pyannote[3003].end 13891.26096875
transcript.pyannote[3004].speaker SPEAKER_15
transcript.pyannote[3004].start 13891.27784375
transcript.pyannote[3004].end 13891.39596875
transcript.pyannote[3005].speaker SPEAKER_11
transcript.pyannote[3005].start 13891.39596875
transcript.pyannote[3005].end 13891.44659375
transcript.pyannote[3006].speaker SPEAKER_15
transcript.pyannote[3006].start 13891.44659375
transcript.pyannote[3006].end 13893.53909375
transcript.pyannote[3007].speaker SPEAKER_15
transcript.pyannote[3007].start 13894.07909375
transcript.pyannote[3007].end 13894.75409375
transcript.pyannote[3008].speaker SPEAKER_11
transcript.pyannote[3008].start 13894.75409375
transcript.pyannote[3008].end 13894.77096875
transcript.pyannote[3009].speaker SPEAKER_15
transcript.pyannote[3009].start 13894.77096875
transcript.pyannote[3009].end 13894.83846875
transcript.pyannote[3010].speaker SPEAKER_11
transcript.pyannote[3010].start 13895.22659375
transcript.pyannote[3010].end 13896.30659375
transcript.pyannote[3011].speaker SPEAKER_15
transcript.pyannote[3011].start 13895.44596875
transcript.pyannote[3011].end 13896.34034375
transcript.pyannote[3012].speaker SPEAKER_31
transcript.pyannote[3012].start 13896.34034375
transcript.pyannote[3012].end 13896.66096875
transcript.pyannote[3013].speaker SPEAKER_15
transcript.pyannote[3013].start 13896.84659375
transcript.pyannote[3013].end 13899.96846875
transcript.pyannote[3014].speaker SPEAKER_11
transcript.pyannote[3014].start 13898.46659375
transcript.pyannote[3014].end 13899.12471875
transcript.pyannote[3015].speaker SPEAKER_11
transcript.pyannote[3015].start 13899.96846875
transcript.pyannote[3015].end 13903.02284375
transcript.pyannote[3016].speaker SPEAKER_15
transcript.pyannote[3016].start 13903.02284375
transcript.pyannote[3016].end 13905.97596875
transcript.pyannote[3017].speaker SPEAKER_11
transcript.pyannote[3017].start 13905.97596875
transcript.pyannote[3017].end 13906.02659375
transcript.pyannote[3018].speaker SPEAKER_15
transcript.pyannote[3018].start 13906.02659375
transcript.pyannote[3018].end 13906.06034375
transcript.pyannote[3019].speaker SPEAKER_11
transcript.pyannote[3019].start 13906.06034375
transcript.pyannote[3019].end 13906.14471875
transcript.pyannote[3020].speaker SPEAKER_15
transcript.pyannote[3020].start 13906.14471875
transcript.pyannote[3020].end 13908.67596875
transcript.pyannote[3021].speaker SPEAKER_11
transcript.pyannote[3021].start 13906.24596875
transcript.pyannote[3021].end 13906.92096875
transcript.pyannote[3022].speaker SPEAKER_11
transcript.pyannote[3022].start 13907.56221875
transcript.pyannote[3022].end 13944.87284375
transcript.pyannote[3023].speaker SPEAKER_15
transcript.pyannote[3023].start 13912.06784375
transcript.pyannote[3023].end 13913.78909375
transcript.pyannote[3024].speaker SPEAKER_15
transcript.pyannote[3024].start 13914.49784375
transcript.pyannote[3024].end 13914.68346875
transcript.pyannote[3025].speaker SPEAKER_11
transcript.pyannote[3025].start 13946.34096875
transcript.pyannote[3025].end 13956.92159375
transcript.pyannote[3026].speaker SPEAKER_11
transcript.pyannote[3026].start 13957.52909375
transcript.pyannote[3026].end 13958.67659375
transcript.pyannote[3027].speaker SPEAKER_11
transcript.pyannote[3027].start 13959.36846875
transcript.pyannote[3027].end 13964.51534375
transcript.pyannote[3028].speaker SPEAKER_11
transcript.pyannote[3028].start 13964.92034375
transcript.pyannote[3028].end 13966.72596875
transcript.pyannote[3029].speaker SPEAKER_11
transcript.pyannote[3029].start 13967.21534375
transcript.pyannote[3029].end 13967.95784375
transcript.pyannote[3030].speaker SPEAKER_11
transcript.pyannote[3030].start 13969.35846875
transcript.pyannote[3030].end 13971.34971875
transcript.pyannote[3031].speaker SPEAKER_11
transcript.pyannote[3031].start 13972.04159375
transcript.pyannote[3031].end 13972.75034375
transcript.pyannote[3032].speaker SPEAKER_11
transcript.pyannote[3032].start 13973.39159375
transcript.pyannote[3032].end 13987.53284375
transcript.pyannote[3033].speaker SPEAKER_11
transcript.pyannote[3033].start 13987.71846875
transcript.pyannote[3033].end 14001.30284375
transcript.pyannote[3034].speaker SPEAKER_11
transcript.pyannote[3034].start 14001.77534375
transcript.pyannote[3034].end 14003.04096875
transcript.pyannote[3035].speaker SPEAKER_11
transcript.pyannote[3035].start 14003.05784375
transcript.pyannote[3035].end 14005.97721875
transcript.pyannote[3036].speaker SPEAKER_11
transcript.pyannote[3036].start 14007.39471875
transcript.pyannote[3036].end 14023.25721875
transcript.pyannote[3037].speaker SPEAKER_11
transcript.pyannote[3037].start 14023.61159375
transcript.pyannote[3037].end 14024.42159375
transcript.pyannote[3038].speaker SPEAKER_11
transcript.pyannote[3038].start 14025.65346875
transcript.pyannote[3038].end 14025.67034375
transcript.pyannote[3039].speaker SPEAKER_15
transcript.pyannote[3039].start 14025.67034375
transcript.pyannote[3039].end 14026.27784375
transcript.pyannote[3040].speaker SPEAKER_15
transcript.pyannote[3040].start 14026.85159375
transcript.pyannote[3040].end 14028.50534375
transcript.pyannote[3041].speaker SPEAKER_15
transcript.pyannote[3041].start 14029.02846875
transcript.pyannote[3041].end 14029.63596875
transcript.pyannote[3042].speaker SPEAKER_15
transcript.pyannote[3042].start 14029.93971875
transcript.pyannote[3042].end 14030.66534375
transcript.pyannote[3043].speaker SPEAKER_15
transcript.pyannote[3043].start 14030.95221875
transcript.pyannote[3043].end 14031.57659375
transcript.pyannote[3044].speaker SPEAKER_15
transcript.pyannote[3044].start 14031.93096875
transcript.pyannote[3044].end 14032.72409375
transcript.pyannote[3045].speaker SPEAKER_15
transcript.pyannote[3045].start 14033.28096875
transcript.pyannote[3045].end 14033.61846875
transcript.pyannote[3046].speaker SPEAKER_15
transcript.pyannote[3046].start 14033.88846875
transcript.pyannote[3046].end 14035.82909375
transcript.pyannote[3047].speaker SPEAKER_15
transcript.pyannote[3047].start 14036.11596875
transcript.pyannote[3047].end 14043.96284375
transcript.pyannote[3048].speaker SPEAKER_11
transcript.pyannote[3048].start 14043.08534375
transcript.pyannote[3048].end 14043.22034375
transcript.pyannote[3049].speaker SPEAKER_11
transcript.pyannote[3049].start 14043.96284375
transcript.pyannote[3049].end 14044.65471875
transcript.pyannote[3050].speaker SPEAKER_15
transcript.pyannote[3050].start 14045.24534375
transcript.pyannote[3050].end 14045.26221875
transcript.pyannote[3051].speaker SPEAKER_11
transcript.pyannote[3051].start 14045.26221875
transcript.pyannote[3051].end 14085.71159375
transcript.pyannote[3052].speaker SPEAKER_00
transcript.pyannote[3052].start 14051.06721875
transcript.pyannote[3052].end 14052.53534375
transcript.pyannote[3053].speaker SPEAKER_26
transcript.pyannote[3053].start 14082.25221875
transcript.pyannote[3053].end 14086.75784375
transcript.pyannote[3054].speaker SPEAKER_11
transcript.pyannote[3054].start 14086.08284375
transcript.pyannote[3054].end 14088.58034375
transcript.pyannote[3055].speaker SPEAKER_26
transcript.pyannote[3055].start 14088.07409375
transcript.pyannote[3055].end 14095.85346875
transcript.pyannote[3056].speaker SPEAKER_11
transcript.pyannote[3056].start 14091.06096875
transcript.pyannote[3056].end 14094.35159375
transcript.pyannote[3057].speaker SPEAKER_26
transcript.pyannote[3057].start 14096.17409375
transcript.pyannote[3057].end 14096.24159375
transcript.pyannote[3058].speaker SPEAKER_11
transcript.pyannote[3058].start 14096.24159375
transcript.pyannote[3058].end 14104.49346875
transcript.pyannote[3059].speaker SPEAKER_26
transcript.pyannote[3059].start 14096.27534375
transcript.pyannote[3059].end 14096.86596875
transcript.pyannote[3060].speaker SPEAKER_26
transcript.pyannote[3060].start 14098.45221875
transcript.pyannote[3060].end 14100.52784375
transcript.pyannote[3061].speaker SPEAKER_26
transcript.pyannote[3061].start 14104.67909375
transcript.pyannote[3061].end 14108.12159375
transcript.pyannote[3062].speaker SPEAKER_09
transcript.pyannote[3062].start 14124.49034375
transcript.pyannote[3062].end 14126.68409375
transcript.pyannote[3063].speaker SPEAKER_26
transcript.pyannote[3063].start 14126.92034375
transcript.pyannote[3063].end 14129.06346875
transcript.pyannote[3064].speaker SPEAKER_09
transcript.pyannote[3064].start 14127.20721875
transcript.pyannote[3064].end 14128.11846875
transcript.pyannote[3065].speaker SPEAKER_26
transcript.pyannote[3065].start 14133.33284375
transcript.pyannote[3065].end 14134.48034375
transcript.pyannote[3066].speaker SPEAKER_09
transcript.pyannote[3066].start 14139.22221875
transcript.pyannote[3066].end 14140.48784375
transcript.pyannote[3067].speaker SPEAKER_09
transcript.pyannote[3067].start 14140.94346875
transcript.pyannote[3067].end 14149.33034375
transcript.pyannote[3068].speaker SPEAKER_09
transcript.pyannote[3068].start 14149.58346875
transcript.pyannote[3068].end 14151.74346875
transcript.pyannote[3069].speaker SPEAKER_09
transcript.pyannote[3069].start 14152.11471875
transcript.pyannote[3069].end 14153.49846875
transcript.pyannote[3070].speaker SPEAKER_09
transcript.pyannote[3070].start 14153.78534375
transcript.pyannote[3070].end 14155.57409375
transcript.pyannote[3071].speaker SPEAKER_09
transcript.pyannote[3071].start 14156.18159375
transcript.pyannote[3071].end 14160.87284375
transcript.pyannote[3072].speaker SPEAKER_09
transcript.pyannote[3072].start 14161.17659375
transcript.pyannote[3072].end 14172.02721875
transcript.pyannote[3073].speaker SPEAKER_09
transcript.pyannote[3073].start 14172.06096875
transcript.pyannote[3073].end 14191.56846875
transcript.pyannote[3074].speaker SPEAKER_09
transcript.pyannote[3074].start 14191.61909375
transcript.pyannote[3074].end 14192.37846875
transcript.pyannote[3075].speaker SPEAKER_09
transcript.pyannote[3075].start 14192.95221875
transcript.pyannote[3075].end 14194.33596875
transcript.pyannote[3076].speaker SPEAKER_09
transcript.pyannote[3076].start 14194.82534375
transcript.pyannote[3076].end 14197.22159375
transcript.pyannote[3077].speaker SPEAKER_08
transcript.pyannote[3077].start 14199.01034375
transcript.pyannote[3077].end 14209.79346875
transcript.pyannote[3078].speaker SPEAKER_08
transcript.pyannote[3078].start 14210.43471875
transcript.pyannote[3078].end 14211.02534375
transcript.pyannote[3079].speaker SPEAKER_09
transcript.pyannote[3079].start 14211.02534375
transcript.pyannote[3079].end 14222.43284375
transcript.pyannote[3080].speaker SPEAKER_08
transcript.pyannote[3080].start 14215.34534375
transcript.pyannote[3080].end 14216.07096875
transcript.pyannote[3081].speaker SPEAKER_09
transcript.pyannote[3081].start 14224.17096875
transcript.pyannote[3081].end 14224.55909375
transcript.pyannote[3082].speaker SPEAKER_09
transcript.pyannote[3082].start 14225.31846875
transcript.pyannote[3082].end 14226.97221875
transcript.pyannote[3083].speaker SPEAKER_08
transcript.pyannote[3083].start 14226.97221875
transcript.pyannote[3083].end 14227.00596875
transcript.pyannote[3084].speaker SPEAKER_08
transcript.pyannote[3084].start 14227.36034375
transcript.pyannote[3084].end 14237.13096875
transcript.pyannote[3085].speaker SPEAKER_09
transcript.pyannote[3085].start 14230.00971875
transcript.pyannote[3085].end 14230.73534375
transcript.pyannote[3086].speaker SPEAKER_00
transcript.pyannote[3086].start 14230.73534375
transcript.pyannote[3086].end 14230.87034375
transcript.pyannote[3087].speaker SPEAKER_09
transcript.pyannote[3087].start 14231.56221875
transcript.pyannote[3087].end 14231.91659375
transcript.pyannote[3088].speaker SPEAKER_09
transcript.pyannote[3088].start 14236.35471875
transcript.pyannote[3088].end 14241.97409375
transcript.pyannote[3089].speaker SPEAKER_08
transcript.pyannote[3089].start 14241.97409375
transcript.pyannote[3089].end 14242.10909375
transcript.pyannote[3090].speaker SPEAKER_09
transcript.pyannote[3090].start 14242.10909375
transcript.pyannote[3090].end 14242.39596875
transcript.pyannote[3091].speaker SPEAKER_08
transcript.pyannote[3091].start 14242.39596875
transcript.pyannote[3091].end 14242.54784375
transcript.pyannote[3092].speaker SPEAKER_09
transcript.pyannote[3092].start 14242.54784375
transcript.pyannote[3092].end 14242.80096875
transcript.pyannote[3093].speaker SPEAKER_08
transcript.pyannote[3093].start 14242.80096875
transcript.pyannote[3093].end 14243.69534375
transcript.pyannote[3094].speaker SPEAKER_09
transcript.pyannote[3094].start 14243.69534375
transcript.pyannote[3094].end 14243.94846875
transcript.pyannote[3095].speaker SPEAKER_08
transcript.pyannote[3095].start 14243.94846875
transcript.pyannote[3095].end 14251.96409375
transcript.pyannote[3096].speaker SPEAKER_09
transcript.pyannote[3096].start 14245.75409375
transcript.pyannote[3096].end 14246.96909375
transcript.pyannote[3097].speaker SPEAKER_09
transcript.pyannote[3097].start 14247.45846875
transcript.pyannote[3097].end 14248.84221875
transcript.pyannote[3098].speaker SPEAKER_09
transcript.pyannote[3098].start 14250.09096875
transcript.pyannote[3098].end 14251.28909375
transcript.pyannote[3099].speaker SPEAKER_09
transcript.pyannote[3099].start 14251.96409375
transcript.pyannote[3099].end 14254.93409375
transcript.pyannote[3100].speaker SPEAKER_08
transcript.pyannote[3100].start 14254.93409375
transcript.pyannote[3100].end 14254.95096875
transcript.pyannote[3101].speaker SPEAKER_09
transcript.pyannote[3101].start 14254.95096875
transcript.pyannote[3101].end 14256.14909375
transcript.pyannote[3102].speaker SPEAKER_08
transcript.pyannote[3102].start 14254.96784375
transcript.pyannote[3102].end 14257.95471875
transcript.pyannote[3103].speaker SPEAKER_09
transcript.pyannote[3103].start 14257.75221875
transcript.pyannote[3103].end 14264.09721875
transcript.pyannote[3104].speaker SPEAKER_09
transcript.pyannote[3104].start 14264.23221875
transcript.pyannote[3104].end 14266.07159375
transcript.pyannote[3105].speaker SPEAKER_08
transcript.pyannote[3105].start 14264.28284375
transcript.pyannote[3105].end 14267.01659375
transcript.pyannote[3106].speaker SPEAKER_09
transcript.pyannote[3106].start 14266.15596875
transcript.pyannote[3106].end 14266.64534375
transcript.pyannote[3107].speaker SPEAKER_08
transcript.pyannote[3107].start 14268.06284375
transcript.pyannote[3107].end 14270.25659375
transcript.pyannote[3108].speaker SPEAKER_09
transcript.pyannote[3108].start 14270.25659375
transcript.pyannote[3108].end 14280.31409375
transcript.pyannote[3109].speaker SPEAKER_08
transcript.pyannote[3109].start 14270.27346875
transcript.pyannote[3109].end 14273.90159375
transcript.pyannote[3110].speaker SPEAKER_09
transcript.pyannote[3110].start 14280.49971875
transcript.pyannote[3110].end 14291.97471875
transcript.pyannote[3111].speaker SPEAKER_08
transcript.pyannote[3111].start 14291.97471875
transcript.pyannote[3111].end 14298.75846875
transcript.pyannote[3112].speaker SPEAKER_09
transcript.pyannote[3112].start 14297.45909375
transcript.pyannote[3112].end 14316.96659375
transcript.pyannote[3113].speaker SPEAKER_09
transcript.pyannote[3113].start 14317.13534375
transcript.pyannote[3113].end 14319.09284375
transcript.pyannote[3114].speaker SPEAKER_09
transcript.pyannote[3114].start 14319.54846875
transcript.pyannote[3114].end 14320.81409375
transcript.pyannote[3115].speaker SPEAKER_09
transcript.pyannote[3115].start 14322.07971875
transcript.pyannote[3115].end 14325.97784375
transcript.pyannote[3116].speaker SPEAKER_08
transcript.pyannote[3116].start 14325.97784375
transcript.pyannote[3116].end 14327.12534375
transcript.pyannote[3117].speaker SPEAKER_09
transcript.pyannote[3117].start 14327.12534375
transcript.pyannote[3117].end 14335.37721875
transcript.pyannote[3118].speaker SPEAKER_08
transcript.pyannote[3118].start 14327.15909375
transcript.pyannote[3118].end 14327.36159375
transcript.pyannote[3119].speaker SPEAKER_08
transcript.pyannote[3119].start 14332.76159375
transcript.pyannote[3119].end 14333.03159375
transcript.pyannote[3120].speaker SPEAKER_09
transcript.pyannote[3120].start 14336.03534375
transcript.pyannote[3120].end 14338.34721875
transcript.pyannote[3121].speaker SPEAKER_09
transcript.pyannote[3121].start 14338.92096875
transcript.pyannote[3121].end 14342.02596875
transcript.pyannote[3122].speaker SPEAKER_08
transcript.pyannote[3122].start 14342.02596875
transcript.pyannote[3122].end 14342.56596875
transcript.pyannote[3123].speaker SPEAKER_09
transcript.pyannote[3123].start 14342.04284375
transcript.pyannote[3123].end 14342.51534375
transcript.pyannote[3124].speaker SPEAKER_09
transcript.pyannote[3124].start 14342.56596875
transcript.pyannote[3124].end 14342.97096875
transcript.pyannote[3125].speaker SPEAKER_08
transcript.pyannote[3125].start 14342.97096875
transcript.pyannote[3125].end 14344.25346875
transcript.pyannote[3126].speaker SPEAKER_09
transcript.pyannote[3126].start 14343.12284375
transcript.pyannote[3126].end 14343.13971875
transcript.pyannote[3127].speaker SPEAKER_09
transcript.pyannote[3127].start 14344.06784375
transcript.pyannote[3127].end 14345.94096875
transcript.pyannote[3128].speaker SPEAKER_09
transcript.pyannote[3128].start 14345.97471875
transcript.pyannote[3128].end 14354.47971875
transcript.pyannote[3129].speaker SPEAKER_08
transcript.pyannote[3129].start 14354.81721875
transcript.pyannote[3129].end 14356.75784375
transcript.pyannote[3130].speaker SPEAKER_09
transcript.pyannote[3130].start 14356.75784375
transcript.pyannote[3130].end 14356.77471875
transcript.pyannote[3131].speaker SPEAKER_08
transcript.pyannote[3131].start 14356.77471875
transcript.pyannote[3131].end 14356.80846875
transcript.pyannote[3132].speaker SPEAKER_09
transcript.pyannote[3132].start 14356.80846875
transcript.pyannote[3132].end 14357.46659375
transcript.pyannote[3133].speaker SPEAKER_09
transcript.pyannote[3133].start 14358.04034375
transcript.pyannote[3133].end 14358.47909375
transcript.pyannote[3134].speaker SPEAKER_08
transcript.pyannote[3134].start 14358.47909375
transcript.pyannote[3134].end 14358.64784375
transcript.pyannote[3135].speaker SPEAKER_09
transcript.pyannote[3135].start 14358.64784375
transcript.pyannote[3135].end 14358.79971875
transcript.pyannote[3136].speaker SPEAKER_08
transcript.pyannote[3136].start 14358.79971875
transcript.pyannote[3136].end 14358.81659375
transcript.pyannote[3137].speaker SPEAKER_09
transcript.pyannote[3137].start 14358.81659375
transcript.pyannote[3137].end 14358.96846875
transcript.pyannote[3138].speaker SPEAKER_08
transcript.pyannote[3138].start 14358.96846875
transcript.pyannote[3138].end 14364.77346875
transcript.pyannote[3139].speaker SPEAKER_09
transcript.pyannote[3139].start 14364.57096875
transcript.pyannote[3139].end 14364.65534375
transcript.pyannote[3140].speaker SPEAKER_09
transcript.pyannote[3140].start 14364.67221875
transcript.pyannote[3140].end 14364.73971875
transcript.pyannote[3141].speaker SPEAKER_09
transcript.pyannote[3141].start 14364.77346875
transcript.pyannote[3141].end 14366.08971875
transcript.pyannote[3142].speaker SPEAKER_08
transcript.pyannote[3142].start 14365.06034375
transcript.pyannote[3142].end 14365.22909375
transcript.pyannote[3143].speaker SPEAKER_08
transcript.pyannote[3143].start 14366.08971875
transcript.pyannote[3143].end 14366.14034375
transcript.pyannote[3144].speaker SPEAKER_08
transcript.pyannote[3144].start 14366.29221875
transcript.pyannote[3144].end 14366.84909375
transcript.pyannote[3145].speaker SPEAKER_08
transcript.pyannote[3145].start 14366.98409375
transcript.pyannote[3145].end 14368.21596875
transcript.pyannote[3146].speaker SPEAKER_09
transcript.pyannote[3146].start 14367.96284375
transcript.pyannote[3146].end 14379.10034375
transcript.pyannote[3147].speaker SPEAKER_09
transcript.pyannote[3147].start 14379.28596875
transcript.pyannote[3147].end 14380.60221875
transcript.pyannote[3148].speaker SPEAKER_26
transcript.pyannote[3148].start 14382.32346875
transcript.pyannote[3148].end 14383.18409375
transcript.pyannote[3149].speaker SPEAKER_09
transcript.pyannote[3149].start 14384.75346875
transcript.pyannote[3149].end 14386.94721875
transcript.pyannote[3150].speaker SPEAKER_09
transcript.pyannote[3150].start 14388.60096875
transcript.pyannote[3150].end 14389.09034375
transcript.pyannote[3151].speaker SPEAKER_09
transcript.pyannote[3151].start 14389.51221875
transcript.pyannote[3151].end 14390.33909375
transcript.pyannote[3152].speaker SPEAKER_09
transcript.pyannote[3152].start 14390.49096875
transcript.pyannote[3152].end 14396.66721875
transcript.pyannote[3153].speaker SPEAKER_09
transcript.pyannote[3153].start 14396.98784375
transcript.pyannote[3153].end 14399.50221875
transcript.pyannote[3154].speaker SPEAKER_09
transcript.pyannote[3154].start 14400.43034375
transcript.pyannote[3154].end 14404.61534375
transcript.pyannote[3155].speaker SPEAKER_09
transcript.pyannote[3155].start 14405.03721875
transcript.pyannote[3155].end 14405.74596875
transcript.pyannote[3156].speaker SPEAKER_09
transcript.pyannote[3156].start 14406.48846875
transcript.pyannote[3156].end 14410.42034375
transcript.pyannote[3157].speaker SPEAKER_09
transcript.pyannote[3157].start 14411.39909375
transcript.pyannote[3157].end 14411.80409375
transcript.pyannote[3158].speaker SPEAKER_09
transcript.pyannote[3158].start 14412.27659375
transcript.pyannote[3158].end 14414.75721875
transcript.pyannote[3159].speaker SPEAKER_30
transcript.pyannote[3159].start 14415.41534375
transcript.pyannote[3159].end 14417.96346875
transcript.pyannote[3160].speaker SPEAKER_09
transcript.pyannote[3160].start 14417.37284375
transcript.pyannote[3160].end 14418.36846875
transcript.pyannote[3161].speaker SPEAKER_09
transcript.pyannote[3161].start 14418.73971875
transcript.pyannote[3161].end 14420.07284375
transcript.pyannote[3162].speaker SPEAKER_09
transcript.pyannote[3162].start 14420.27534375
transcript.pyannote[3162].end 14422.21596875
transcript.pyannote[3163].speaker SPEAKER_09
transcript.pyannote[3163].start 14422.89096875
transcript.pyannote[3163].end 14424.83159375
transcript.pyannote[3164].speaker SPEAKER_09
transcript.pyannote[3164].start 14424.98346875
transcript.pyannote[3164].end 14428.12221875
transcript.pyannote[3165].speaker SPEAKER_09
transcript.pyannote[3165].start 14428.37534375
transcript.pyannote[3165].end 14429.70846875
transcript.pyannote[3166].speaker SPEAKER_30
transcript.pyannote[3166].start 14430.55221875
transcript.pyannote[3166].end 14439.34409375
transcript.pyannote[3167].speaker SPEAKER_29
transcript.pyannote[3167].start 14438.55096875
transcript.pyannote[3167].end 14438.56784375
transcript.pyannote[3168].speaker SPEAKER_09
transcript.pyannote[3168].start 14438.56784375
transcript.pyannote[3168].end 14438.95596875
transcript.pyannote[3169].speaker SPEAKER_29
transcript.pyannote[3169].start 14438.95596875
transcript.pyannote[3169].end 14439.07409375
transcript.pyannote[3170].speaker SPEAKER_30
transcript.pyannote[3170].start 14439.49596875
transcript.pyannote[3170].end 14445.62159375
transcript.pyannote[3171].speaker SPEAKER_09
transcript.pyannote[3171].start 14444.92971875
transcript.pyannote[3171].end 14448.62534375
transcript.pyannote[3172].speaker SPEAKER_30
transcript.pyannote[3172].start 14447.64659375
transcript.pyannote[3172].end 14451.73034375
transcript.pyannote[3173].speaker SPEAKER_09
transcript.pyannote[3173].start 14449.40159375
transcript.pyannote[3173].end 14449.72221875
transcript.pyannote[3174].speaker SPEAKER_09
transcript.pyannote[3174].start 14450.58284375
transcript.pyannote[3174].end 14452.99596875
transcript.pyannote[3175].speaker SPEAKER_30
transcript.pyannote[3175].start 14451.96659375
transcript.pyannote[3175].end 14457.38346875
transcript.pyannote[3176].speaker SPEAKER_09
transcript.pyannote[3176].start 14454.75096875
transcript.pyannote[3176].end 14463.35721875
transcript.pyannote[3177].speaker SPEAKER_30
transcript.pyannote[3177].start 14461.65284375
transcript.pyannote[3177].end 14463.00284375
transcript.pyannote[3178].speaker SPEAKER_09
transcript.pyannote[3178].start 14464.11659375
transcript.pyannote[3178].end 14464.74096875
transcript.pyannote[3179].speaker SPEAKER_09
transcript.pyannote[3179].start 14465.16284375
transcript.pyannote[3179].end 14466.91784375
transcript.pyannote[3180].speaker SPEAKER_09
transcript.pyannote[3180].start 14467.33971875
transcript.pyannote[3180].end 14469.07784375
transcript.pyannote[3181].speaker SPEAKER_09
transcript.pyannote[3181].start 14469.16221875
transcript.pyannote[3181].end 14471.57534375
transcript.pyannote[3182].speaker SPEAKER_09
transcript.pyannote[3182].start 14471.91284375
transcript.pyannote[3182].end 14472.50346875
transcript.pyannote[3183].speaker SPEAKER_09
transcript.pyannote[3183].start 14473.58346875
transcript.pyannote[3183].end 14474.27534375
transcript.pyannote[3184].speaker SPEAKER_30
transcript.pyannote[3184].start 14474.76471875
transcript.pyannote[3184].end 14477.16096875
transcript.pyannote[3185].speaker SPEAKER_09
transcript.pyannote[3185].start 14477.04284375
transcript.pyannote[3185].end 14498.15346875
transcript.pyannote[3186].speaker SPEAKER_30
transcript.pyannote[3186].start 14498.67659375
transcript.pyannote[3186].end 14500.07721875
transcript.pyannote[3187].speaker SPEAKER_09
transcript.pyannote[3187].start 14499.41909375
transcript.pyannote[3187].end 14512.49721875
transcript.pyannote[3188].speaker SPEAKER_09
transcript.pyannote[3188].start 14513.00346875
transcript.pyannote[3188].end 14519.14596875
transcript.pyannote[3189].speaker SPEAKER_06
transcript.pyannote[3189].start 14514.70784375
transcript.pyannote[3189].end 14514.72471875
transcript.pyannote[3190].speaker SPEAKER_26
transcript.pyannote[3190].start 14514.72471875
transcript.pyannote[3190].end 14516.22659375
transcript.pyannote[3191].speaker SPEAKER_26
transcript.pyannote[3191].start 14517.66096875
transcript.pyannote[3191].end 14524.19159375
transcript.pyannote[3192].speaker SPEAKER_09
transcript.pyannote[3192].start 14520.74909375
transcript.pyannote[3192].end 14533.20284375
transcript.pyannote[3193].speaker SPEAKER_30
transcript.pyannote[3193].start 14534.48534375
transcript.pyannote[3193].end 14540.30721875
transcript.pyannote[3194].speaker SPEAKER_09
transcript.pyannote[3194].start 14540.20596875
transcript.pyannote[3194].end 14543.71596875
transcript.pyannote[3195].speaker SPEAKER_26
transcript.pyannote[3195].start 14543.71596875
transcript.pyannote[3195].end 14556.74346875
transcript.pyannote[3196].speaker SPEAKER_21
transcript.pyannote[3196].start 14565.06284375
transcript.pyannote[3196].end 14569.80471875
transcript.pyannote[3197].speaker SPEAKER_26
transcript.pyannote[3197].start 14570.04096875
transcript.pyannote[3197].end 14574.29346875
transcript.pyannote[3198].speaker SPEAKER_26
transcript.pyannote[3198].start 14575.39034375
transcript.pyannote[3198].end 14576.16659375
transcript.pyannote[3199].speaker SPEAKER_21
transcript.pyannote[3199].start 14576.16659375
transcript.pyannote[3199].end 14576.18346875
transcript.pyannote[3200].speaker SPEAKER_15
transcript.pyannote[3200].start 14579.13659375
transcript.pyannote[3200].end 14579.92971875
transcript.pyannote[3201].speaker SPEAKER_21
transcript.pyannote[3201].start 14581.43159375
transcript.pyannote[3201].end 14585.54909375
transcript.pyannote[3202].speaker SPEAKER_15
transcript.pyannote[3202].start 14582.34284375
transcript.pyannote[3202].end 14582.93346875
transcript.pyannote[3203].speaker SPEAKER_21
transcript.pyannote[3203].start 14585.93721875
transcript.pyannote[3203].end 14592.28221875
transcript.pyannote[3204].speaker SPEAKER_21
transcript.pyannote[3204].start 14592.36659375
transcript.pyannote[3204].end 14598.82971875
transcript.pyannote[3205].speaker SPEAKER_21
transcript.pyannote[3205].start 14599.25159375
transcript.pyannote[3205].end 14599.72409375
transcript.pyannote[3206].speaker SPEAKER_21
transcript.pyannote[3206].start 14601.31034375
transcript.pyannote[3206].end 14605.56284375
transcript.pyannote[3207].speaker SPEAKER_08
transcript.pyannote[3207].start 14606.20409375
transcript.pyannote[3207].end 14613.39284375
transcript.pyannote[3208].speaker SPEAKER_21
transcript.pyannote[3208].start 14610.43971875
transcript.pyannote[3208].end 14611.87409375
transcript.pyannote[3209].speaker SPEAKER_21
transcript.pyannote[3209].start 14613.25784375
transcript.pyannote[3209].end 14615.46846875
transcript.pyannote[3210].speaker SPEAKER_08
transcript.pyannote[3210].start 14615.94096875
transcript.pyannote[3210].end 14618.94471875
transcript.pyannote[3211].speaker SPEAKER_21
transcript.pyannote[3211].start 14618.69159375
transcript.pyannote[3211].end 14627.63534375
transcript.pyannote[3212].speaker SPEAKER_21
transcript.pyannote[3212].start 14628.42846875
transcript.pyannote[3212].end 14630.87534375
transcript.pyannote[3213].speaker SPEAKER_08
transcript.pyannote[3213].start 14631.39846875
transcript.pyannote[3213].end 14635.21221875
transcript.pyannote[3214].speaker SPEAKER_21
transcript.pyannote[3214].start 14633.76096875
transcript.pyannote[3214].end 14635.07721875
transcript.pyannote[3215].speaker SPEAKER_21
transcript.pyannote[3215].start 14635.75221875
transcript.pyannote[3215].end 14638.55346875
transcript.pyannote[3216].speaker SPEAKER_08
transcript.pyannote[3216].start 14638.28346875
transcript.pyannote[3216].end 14643.76784375
transcript.pyannote[3217].speaker SPEAKER_21
transcript.pyannote[3217].start 14643.02534375
transcript.pyannote[3217].end 14645.25284375
transcript.pyannote[3218].speaker SPEAKER_21
transcript.pyannote[3218].start 14645.94471875
transcript.pyannote[3218].end 14666.98784375
transcript.pyannote[3219].speaker SPEAKER_21
transcript.pyannote[3219].start 14667.49409375
transcript.pyannote[3219].end 14668.30409375
transcript.pyannote[3220].speaker SPEAKER_21
transcript.pyannote[3220].start 14668.91159375
transcript.pyannote[3220].end 14673.56909375
transcript.pyannote[3221].speaker SPEAKER_21
transcript.pyannote[3221].start 14674.00784375
transcript.pyannote[3221].end 14681.31471875
transcript.pyannote[3222].speaker SPEAKER_21
transcript.pyannote[3222].start 14682.42846875
transcript.pyannote[3222].end 14683.33971875
transcript.pyannote[3223].speaker SPEAKER_08
transcript.pyannote[3223].start 14684.33534375
transcript.pyannote[3223].end 14684.36909375
transcript.pyannote[3224].speaker SPEAKER_21
transcript.pyannote[3224].start 14684.36909375
transcript.pyannote[3224].end 14686.12409375
transcript.pyannote[3225].speaker SPEAKER_08
transcript.pyannote[3225].start 14684.38596875
transcript.pyannote[3225].end 14688.45284375
transcript.pyannote[3226].speaker SPEAKER_21
transcript.pyannote[3226].start 14688.45284375
transcript.pyannote[3226].end 14698.39221875
transcript.pyannote[3227].speaker SPEAKER_21
transcript.pyannote[3227].start 14698.96596875
transcript.pyannote[3227].end 14700.01221875
transcript.pyannote[3228].speaker SPEAKER_21
transcript.pyannote[3228].start 14700.31596875
transcript.pyannote[3228].end 14700.80534375
transcript.pyannote[3229].speaker SPEAKER_08
transcript.pyannote[3229].start 14700.80534375
transcript.pyannote[3229].end 14704.36596875
transcript.pyannote[3230].speaker SPEAKER_21
transcript.pyannote[3230].start 14703.40409375
transcript.pyannote[3230].end 14707.13346875
transcript.pyannote[3231].speaker SPEAKER_21
transcript.pyannote[3231].start 14708.50034375
transcript.pyannote[3231].end 14709.44534375
transcript.pyannote[3232].speaker SPEAKER_21
transcript.pyannote[3232].start 14710.20471875
transcript.pyannote[3232].end 14719.63784375
transcript.pyannote[3233].speaker SPEAKER_21
transcript.pyannote[3233].start 14719.95846875
transcript.pyannote[3233].end 14726.65784375
transcript.pyannote[3234].speaker SPEAKER_21
transcript.pyannote[3234].start 14726.84346875
transcript.pyannote[3234].end 14737.35659375
transcript.pyannote[3235].speaker SPEAKER_15
transcript.pyannote[3235].start 14731.46721875
transcript.pyannote[3235].end 14732.19284375
transcript.pyannote[3236].speaker SPEAKER_15
transcript.pyannote[3236].start 14737.35659375
transcript.pyannote[3236].end 14738.97659375
transcript.pyannote[3237].speaker SPEAKER_21
transcript.pyannote[3237].start 14739.16221875
transcript.pyannote[3237].end 14751.68346875
transcript.pyannote[3238].speaker SPEAKER_21
transcript.pyannote[3238].start 14752.22346875
transcript.pyannote[3238].end 14752.89846875
transcript.pyannote[3239].speaker SPEAKER_21
transcript.pyannote[3239].start 14753.53971875
transcript.pyannote[3239].end 14755.83471875
transcript.pyannote[3240].speaker SPEAKER_21
transcript.pyannote[3240].start 14756.08784375
transcript.pyannote[3240].end 14756.99909375
transcript.pyannote[3241].speaker SPEAKER_21
transcript.pyannote[3241].start 14757.80909375
transcript.pyannote[3241].end 14758.53471875
transcript.pyannote[3242].speaker SPEAKER_21
transcript.pyannote[3242].start 14759.04096875
transcript.pyannote[3242].end 14765.68971875
transcript.pyannote[3243].speaker SPEAKER_21
transcript.pyannote[3243].start 14765.99346875
transcript.pyannote[3243].end 14769.89159375
transcript.pyannote[3244].speaker SPEAKER_21
transcript.pyannote[3244].start 14770.06034375
transcript.pyannote[3244].end 14770.97159375
transcript.pyannote[3245].speaker SPEAKER_21
transcript.pyannote[3245].start 14771.47784375
transcript.pyannote[3245].end 14773.23284375
transcript.pyannote[3246].speaker SPEAKER_21
transcript.pyannote[3246].start 14773.68846875
transcript.pyannote[3246].end 14775.22409375
transcript.pyannote[3247].speaker SPEAKER_21
transcript.pyannote[3247].start 14775.24096875
transcript.pyannote[3247].end 14783.74596875
transcript.pyannote[3248].speaker SPEAKER_31
transcript.pyannote[3248].start 14775.42659375
transcript.pyannote[3248].end 14775.44346875
transcript.pyannote[3249].speaker SPEAKER_31
transcript.pyannote[3249].start 14781.38346875
transcript.pyannote[3249].end 14781.73784375
transcript.pyannote[3250].speaker SPEAKER_31
transcript.pyannote[3250].start 14783.12159375
transcript.pyannote[3250].end 14785.07909375
transcript.pyannote[3251].speaker SPEAKER_21
transcript.pyannote[3251].start 14784.30284375
transcript.pyannote[3251].end 14790.51284375
transcript.pyannote[3252].speaker SPEAKER_31
transcript.pyannote[3252].start 14785.23096875
transcript.pyannote[3252].end 14785.65284375
transcript.pyannote[3253].speaker SPEAKER_21
transcript.pyannote[3253].start 14791.22159375
transcript.pyannote[3253].end 14800.14846875
transcript.pyannote[3254].speaker SPEAKER_30
transcript.pyannote[3254].start 14800.92471875
transcript.pyannote[3254].end 14806.54409375
transcript.pyannote[3255].speaker SPEAKER_21
transcript.pyannote[3255].start 14805.86909375
transcript.pyannote[3255].end 14811.28596875
transcript.pyannote[3256].speaker SPEAKER_21
transcript.pyannote[3256].start 14811.53909375
transcript.pyannote[3256].end 14814.39096875
transcript.pyannote[3257].speaker SPEAKER_27
transcript.pyannote[3257].start 14814.28971875
transcript.pyannote[3257].end 14814.34034375
transcript.pyannote[3258].speaker SPEAKER_31
transcript.pyannote[3258].start 14814.34034375
transcript.pyannote[3258].end 14814.76221875
transcript.pyannote[3259].speaker SPEAKER_21
transcript.pyannote[3259].start 14814.91409375
transcript.pyannote[3259].end 14817.54659375
transcript.pyannote[3260].speaker SPEAKER_31
transcript.pyannote[3260].start 14817.54659375
transcript.pyannote[3260].end 14818.00221875
transcript.pyannote[3261].speaker SPEAKER_21
transcript.pyannote[3261].start 14818.00221875
transcript.pyannote[3261].end 14831.78909375
transcript.pyannote[3262].speaker SPEAKER_31
transcript.pyannote[3262].start 14818.82909375
transcript.pyannote[3262].end 14819.04846875
transcript.pyannote[3263].speaker SPEAKER_31
transcript.pyannote[3263].start 14819.06534375
transcript.pyannote[3263].end 14819.14971875
transcript.pyannote[3264].speaker SPEAKER_21
transcript.pyannote[3264].start 14832.43034375
transcript.pyannote[3264].end 14836.68284375
transcript.pyannote[3265].speaker SPEAKER_21
transcript.pyannote[3265].start 14836.86846875
transcript.pyannote[3265].end 14837.50971875
transcript.pyannote[3266].speaker SPEAKER_31
transcript.pyannote[3266].start 14837.64471875
transcript.pyannote[3266].end 14838.25221875
transcript.pyannote[3267].speaker SPEAKER_21
transcript.pyannote[3267].start 14837.74596875
transcript.pyannote[3267].end 14838.74159375
transcript.pyannote[3268].speaker SPEAKER_21
transcript.pyannote[3268].start 14839.12971875
transcript.pyannote[3268].end 14839.66971875
transcript.pyannote[3269].speaker SPEAKER_21
transcript.pyannote[3269].start 14840.00721875
transcript.pyannote[3269].end 14840.78346875
transcript.pyannote[3270].speaker SPEAKER_21
transcript.pyannote[3270].start 14841.82971875
transcript.pyannote[3270].end 14842.84221875
transcript.pyannote[3271].speaker SPEAKER_31
transcript.pyannote[3271].start 14842.89284375
transcript.pyannote[3271].end 14843.36534375
transcript.pyannote[3272].speaker SPEAKER_21
transcript.pyannote[3272].start 14843.31471875
transcript.pyannote[3272].end 14844.49596875
transcript.pyannote[3273].speaker SPEAKER_21
transcript.pyannote[3273].start 14844.54659375
transcript.pyannote[3273].end 14844.61409375
transcript.pyannote[3274].speaker SPEAKER_21
transcript.pyannote[3274].start 14844.63096875
transcript.pyannote[3274].end 14849.03534375
transcript.pyannote[3275].speaker SPEAKER_30
transcript.pyannote[3275].start 14848.32659375
transcript.pyannote[3275].end 14850.60471875
transcript.pyannote[3276].speaker SPEAKER_21
transcript.pyannote[3276].start 14850.18284375
transcript.pyannote[3276].end 14852.68034375
transcript.pyannote[3277].speaker SPEAKER_21
transcript.pyannote[3277].start 14853.33846875
transcript.pyannote[3277].end 14857.91159375
transcript.pyannote[3278].speaker SPEAKER_21
transcript.pyannote[3278].start 14858.08034375
transcript.pyannote[3278].end 14860.83096875
transcript.pyannote[3279].speaker SPEAKER_21
transcript.pyannote[3279].start 14861.01659375
transcript.pyannote[3279].end 14861.89409375
transcript.pyannote[3280].speaker SPEAKER_21
transcript.pyannote[3280].start 14862.33284375
transcript.pyannote[3280].end 14863.90221875
transcript.pyannote[3281].speaker SPEAKER_21
transcript.pyannote[3281].start 14865.04971875
transcript.pyannote[3281].end 14866.70346875
transcript.pyannote[3282].speaker SPEAKER_08
transcript.pyannote[3282].start 14865.21846875
transcript.pyannote[3282].end 14866.02846875
transcript.pyannote[3283].speaker SPEAKER_21
transcript.pyannote[3283].start 14866.85534375
transcript.pyannote[3283].end 14872.74471875
transcript.pyannote[3284].speaker SPEAKER_21
transcript.pyannote[3284].start 14873.18346875
transcript.pyannote[3284].end 14873.58846875
transcript.pyannote[3285].speaker SPEAKER_08
transcript.pyannote[3285].start 14873.58846875
transcript.pyannote[3285].end 14874.22971875
transcript.pyannote[3286].speaker SPEAKER_21
transcript.pyannote[3286].start 14874.65159375
transcript.pyannote[3286].end 14876.22096875
transcript.pyannote[3287].speaker SPEAKER_21
transcript.pyannote[3287].start 14877.16596875
transcript.pyannote[3287].end 14879.52846875
transcript.pyannote[3288].speaker SPEAKER_21
transcript.pyannote[3288].start 14881.13159375
transcript.pyannote[3288].end 14882.61659375
transcript.pyannote[3289].speaker SPEAKER_21
transcript.pyannote[3289].start 14883.56159375
transcript.pyannote[3289].end 14888.48909375
transcript.pyannote[3290].speaker SPEAKER_21
transcript.pyannote[3290].start 14889.45096875
transcript.pyannote[3290].end 14893.73721875
transcript.pyannote[3291].speaker SPEAKER_21
transcript.pyannote[3291].start 14893.93971875
transcript.pyannote[3291].end 14896.72409375
transcript.pyannote[3292].speaker SPEAKER_21
transcript.pyannote[3292].start 14897.14596875
transcript.pyannote[3292].end 14898.68159375
transcript.pyannote[3293].speaker SPEAKER_21
transcript.pyannote[3293].start 14899.32284375
transcript.pyannote[3293].end 14902.61346875
transcript.pyannote[3294].speaker SPEAKER_21
transcript.pyannote[3294].start 14903.05221875
transcript.pyannote[3294].end 14904.90846875
transcript.pyannote[3295].speaker SPEAKER_21
transcript.pyannote[3295].start 14905.48221875
transcript.pyannote[3295].end 14914.51034375
transcript.pyannote[3296].speaker SPEAKER_31
transcript.pyannote[3296].start 14912.97471875
transcript.pyannote[3296].end 14913.22784375
transcript.pyannote[3297].speaker SPEAKER_32
transcript.pyannote[3297].start 14913.22784375
transcript.pyannote[3297].end 14913.24471875
transcript.pyannote[3298].speaker SPEAKER_21
transcript.pyannote[3298].start 14914.89846875
transcript.pyannote[3298].end 14926.10346875
transcript.pyannote[3299].speaker SPEAKER_21
transcript.pyannote[3299].start 14926.66034375
transcript.pyannote[3299].end 14943.02909375
transcript.pyannote[3300].speaker SPEAKER_21
transcript.pyannote[3300].start 14943.07971875
transcript.pyannote[3300].end 14945.67846875
transcript.pyannote[3301].speaker SPEAKER_21
transcript.pyannote[3301].start 14946.01596875
transcript.pyannote[3301].end 14948.71596875
transcript.pyannote[3302].speaker SPEAKER_21
transcript.pyannote[3302].start 14949.10409375
transcript.pyannote[3302].end 14949.66096875
transcript.pyannote[3303].speaker SPEAKER_21
transcript.pyannote[3303].start 14949.88034375
transcript.pyannote[3303].end 14955.29721875
transcript.pyannote[3304].speaker SPEAKER_21
transcript.pyannote[3304].start 14955.76971875
transcript.pyannote[3304].end 14957.99721875
transcript.pyannote[3305].speaker SPEAKER_21
transcript.pyannote[3305].start 14958.55409375
transcript.pyannote[3305].end 14968.05471875
transcript.pyannote[3306].speaker SPEAKER_30
transcript.pyannote[3306].start 14968.57784375
transcript.pyannote[3306].end 14977.38659375
transcript.pyannote[3307].speaker SPEAKER_21
transcript.pyannote[3307].start 14974.39971875
transcript.pyannote[3307].end 14974.75409375
transcript.pyannote[3308].speaker SPEAKER_21
transcript.pyannote[3308].start 14976.25596875
transcript.pyannote[3308].end 14976.55971875
transcript.pyannote[3309].speaker SPEAKER_21
transcript.pyannote[3309].start 14977.06596875
transcript.pyannote[3309].end 14980.57596875
transcript.pyannote[3310].speaker SPEAKER_30
transcript.pyannote[3310].start 14979.59721875
transcript.pyannote[3310].end 14981.99346875
transcript.pyannote[3311].speaker SPEAKER_21
transcript.pyannote[3311].start 14981.20034375
transcript.pyannote[3311].end 15005.80409375
transcript.pyannote[3312].speaker SPEAKER_35
transcript.pyannote[3312].start 15002.32784375
transcript.pyannote[3312].end 15002.61471875
transcript.pyannote[3313].speaker SPEAKER_30
transcript.pyannote[3313].start 15002.61471875
transcript.pyannote[3313].end 15002.93534375
transcript.pyannote[3314].speaker SPEAKER_00
transcript.pyannote[3314].start 15002.93534375
transcript.pyannote[3314].end 15002.98596875
transcript.pyannote[3315].speaker SPEAKER_21
transcript.pyannote[3315].start 15006.41159375
transcript.pyannote[3315].end 15011.00159375
transcript.pyannote[3316].speaker SPEAKER_30
transcript.pyannote[3316].start 15011.57534375
transcript.pyannote[3316].end 15014.30909375
transcript.pyannote[3317].speaker SPEAKER_21
transcript.pyannote[3317].start 15014.30909375
transcript.pyannote[3317].end 15017.51534375
transcript.pyannote[3318].speaker SPEAKER_30
transcript.pyannote[3318].start 15015.23721875
transcript.pyannote[3318].end 15015.42284375
transcript.pyannote[3319].speaker SPEAKER_30
transcript.pyannote[3319].start 15016.89096875
transcript.pyannote[3319].end 15020.46846875
transcript.pyannote[3320].speaker SPEAKER_21
transcript.pyannote[3320].start 15019.69221875
transcript.pyannote[3320].end 15029.00721875
transcript.pyannote[3321].speaker SPEAKER_21
transcript.pyannote[3321].start 15029.32784375
transcript.pyannote[3321].end 15030.34034375
transcript.pyannote[3322].speaker SPEAKER_21
transcript.pyannote[3322].start 15031.58909375
transcript.pyannote[3322].end 15037.17471875
transcript.pyannote[3323].speaker SPEAKER_21
transcript.pyannote[3323].start 15037.27596875
transcript.pyannote[3323].end 15038.15346875
transcript.pyannote[3324].speaker SPEAKER_21
transcript.pyannote[3324].start 15038.25471875
transcript.pyannote[3324].end 15040.78596875
transcript.pyannote[3325].speaker SPEAKER_31
transcript.pyannote[3325].start 15040.93784375
transcript.pyannote[3325].end 15041.78159375
transcript.pyannote[3326].speaker SPEAKER_21
transcript.pyannote[3326].start 15042.01784375
transcript.pyannote[3326].end 15057.07034375
transcript.pyannote[3327].speaker SPEAKER_35
transcript.pyannote[3327].start 15044.38034375
transcript.pyannote[3327].end 15044.76846875
transcript.pyannote[3328].speaker SPEAKER_31
transcript.pyannote[3328].start 15050.32034375
transcript.pyannote[3328].end 15050.37096875
transcript.pyannote[3329].speaker SPEAKER_21
transcript.pyannote[3329].start 15057.82971875
transcript.pyannote[3329].end 15060.37784375
transcript.pyannote[3330].speaker SPEAKER_30
transcript.pyannote[3330].start 15060.85034375
transcript.pyannote[3330].end 15069.15284375
transcript.pyannote[3331].speaker SPEAKER_21
transcript.pyannote[3331].start 15068.00534375
transcript.pyannote[3331].end 15070.18221875
transcript.pyannote[3332].speaker SPEAKER_30
transcript.pyannote[3332].start 15070.18221875
transcript.pyannote[3332].end 15070.40159375
transcript.pyannote[3333].speaker SPEAKER_21
transcript.pyannote[3333].start 15070.43534375
transcript.pyannote[3333].end 15075.05909375
transcript.pyannote[3334].speaker SPEAKER_21
transcript.pyannote[3334].start 15075.53159375
transcript.pyannote[3334].end 15086.92221875
transcript.pyannote[3335].speaker SPEAKER_21
transcript.pyannote[3335].start 15087.31034375
transcript.pyannote[3335].end 15091.44471875
transcript.pyannote[3336].speaker SPEAKER_21
transcript.pyannote[3336].start 15091.68096875
transcript.pyannote[3336].end 15096.40596875
transcript.pyannote[3337].speaker SPEAKER_21
transcript.pyannote[3337].start 15096.69284375
transcript.pyannote[3337].end 15100.64159375
transcript.pyannote[3338].speaker SPEAKER_21
transcript.pyannote[3338].start 15100.79346875
transcript.pyannote[3338].end 15102.05909375
transcript.pyannote[3339].speaker SPEAKER_21
transcript.pyannote[3339].start 15102.73409375
transcript.pyannote[3339].end 15103.78034375
transcript.pyannote[3340].speaker SPEAKER_21
transcript.pyannote[3340].start 15104.50596875
transcript.pyannote[3340].end 15105.61971875
transcript.pyannote[3341].speaker SPEAKER_21
transcript.pyannote[3341].start 15106.12596875
transcript.pyannote[3341].end 15115.06971875
transcript.pyannote[3342].speaker SPEAKER_30
transcript.pyannote[3342].start 15115.93034375
transcript.pyannote[3342].end 15120.67221875
transcript.pyannote[3343].speaker SPEAKER_21
transcript.pyannote[3343].start 15119.94659375
transcript.pyannote[3343].end 15128.43471875
transcript.pyannote[3344].speaker SPEAKER_21
transcript.pyannote[3344].start 15128.83971875
transcript.pyannote[3344].end 15141.44534375
transcript.pyannote[3345].speaker SPEAKER_21
transcript.pyannote[3345].start 15141.76596875
transcript.pyannote[3345].end 15152.17784375
transcript.pyannote[3346].speaker SPEAKER_31
transcript.pyannote[3346].start 15141.91784375
transcript.pyannote[3346].end 15141.93471875
transcript.pyannote[3347].speaker SPEAKER_31
transcript.pyannote[3347].start 15141.96846875
transcript.pyannote[3347].end 15142.00221875
transcript.pyannote[3348].speaker SPEAKER_21
transcript.pyannote[3348].start 15152.58284375
transcript.pyannote[3348].end 15154.79346875
transcript.pyannote[3349].speaker SPEAKER_21
transcript.pyannote[3349].start 15154.92846875
transcript.pyannote[3349].end 15161.03721875
transcript.pyannote[3350].speaker SPEAKER_21
transcript.pyannote[3350].start 15161.18909375
transcript.pyannote[3350].end 15166.79159375
transcript.pyannote[3351].speaker SPEAKER_21
transcript.pyannote[3351].start 15167.29784375
transcript.pyannote[3351].end 15171.29721875
transcript.pyannote[3352].speaker SPEAKER_21
transcript.pyannote[3352].start 15171.43221875
transcript.pyannote[3352].end 15171.93846875
transcript.pyannote[3353].speaker SPEAKER_21
transcript.pyannote[3353].start 15172.10721875
transcript.pyannote[3353].end 15172.14096875
transcript.pyannote[3354].speaker SPEAKER_29
transcript.pyannote[3354].start 15172.14096875
transcript.pyannote[3354].end 15172.47846875
transcript.pyannote[3355].speaker SPEAKER_31
transcript.pyannote[3355].start 15172.47846875
transcript.pyannote[3355].end 15172.56284375
transcript.pyannote[3356].speaker SPEAKER_21
transcript.pyannote[3356].start 15172.90034375
transcript.pyannote[3356].end 15188.93159375
transcript.pyannote[3357].speaker SPEAKER_29
transcript.pyannote[3357].start 15174.21659375
transcript.pyannote[3357].end 15174.23346875
transcript.pyannote[3358].speaker SPEAKER_31
transcript.pyannote[3358].start 15174.23346875
transcript.pyannote[3358].end 15175.83659375
transcript.pyannote[3359].speaker SPEAKER_30
transcript.pyannote[3359].start 15175.83659375
transcript.pyannote[3359].end 15176.03909375
transcript.pyannote[3360].speaker SPEAKER_31
transcript.pyannote[3360].start 15176.03909375
transcript.pyannote[3360].end 15177.18659375
transcript.pyannote[3361].speaker SPEAKER_30
transcript.pyannote[3361].start 15177.18659375
transcript.pyannote[3361].end 15177.20346875
transcript.pyannote[3362].speaker SPEAKER_31
transcript.pyannote[3362].start 15177.20346875
transcript.pyannote[3362].end 15177.28784375
transcript.pyannote[3363].speaker SPEAKER_30
transcript.pyannote[3363].start 15177.28784375
transcript.pyannote[3363].end 15177.32159375
transcript.pyannote[3364].speaker SPEAKER_31
transcript.pyannote[3364].start 15189.11721875
transcript.pyannote[3364].end 15189.43784375
transcript.pyannote[3365].speaker SPEAKER_21
transcript.pyannote[3365].start 15189.45471875
transcript.pyannote[3365].end 15191.00721875
transcript.pyannote[3366].speaker SPEAKER_21
transcript.pyannote[3366].start 15191.34471875
transcript.pyannote[3366].end 15192.32346875
transcript.pyannote[3367].speaker SPEAKER_21
transcript.pyannote[3367].start 15192.66096875
transcript.pyannote[3367].end 15194.09534375
transcript.pyannote[3368].speaker SPEAKER_21
transcript.pyannote[3368].start 15195.12471875
transcript.pyannote[3368].end 15203.79846875
transcript.pyannote[3369].speaker SPEAKER_21
transcript.pyannote[3369].start 15204.03471875
transcript.pyannote[3369].end 15206.29596875
transcript.pyannote[3370].speaker SPEAKER_31
transcript.pyannote[3370].start 15206.39721875
transcript.pyannote[3370].end 15206.92034375
transcript.pyannote[3371].speaker SPEAKER_21
transcript.pyannote[3371].start 15206.81909375
transcript.pyannote[3371].end 15209.29971875
transcript.pyannote[3372].speaker SPEAKER_31
transcript.pyannote[3372].start 15209.19846875
transcript.pyannote[3372].end 15209.94096875
transcript.pyannote[3373].speaker SPEAKER_21
transcript.pyannote[3373].start 15209.55284375
transcript.pyannote[3373].end 15217.09596875
transcript.pyannote[3374].speaker SPEAKER_21
transcript.pyannote[3374].start 15217.88909375
transcript.pyannote[3374].end 15219.54284375
transcript.pyannote[3375].speaker SPEAKER_21
transcript.pyannote[3375].start 15220.11659375
transcript.pyannote[3375].end 15220.40346875
transcript.pyannote[3376].speaker SPEAKER_21
transcript.pyannote[3376].start 15220.62284375
transcript.pyannote[3376].end 15226.91721875
transcript.pyannote[3377].speaker SPEAKER_31
transcript.pyannote[3377].start 15226.91721875
transcript.pyannote[3377].end 15227.20409375
transcript.pyannote[3378].speaker SPEAKER_21
transcript.pyannote[3378].start 15227.20409375
transcript.pyannote[3378].end 15227.91284375
transcript.pyannote[3379].speaker SPEAKER_31
transcript.pyannote[3379].start 15227.84534375
transcript.pyannote[3379].end 15228.09846875
transcript.pyannote[3380].speaker SPEAKER_21
transcript.pyannote[3380].start 15228.01409375
transcript.pyannote[3380].end 15240.31596875
transcript.pyannote[3381].speaker SPEAKER_21
transcript.pyannote[3381].start 15240.53534375
transcript.pyannote[3381].end 15241.19346875
transcript.pyannote[3382].speaker SPEAKER_15
transcript.pyannote[3382].start 15241.19346875
transcript.pyannote[3382].end 15242.02034375
transcript.pyannote[3383].speaker SPEAKER_21
transcript.pyannote[3383].start 15242.02034375
transcript.pyannote[3383].end 15242.50971875
transcript.pyannote[3384].speaker SPEAKER_26
transcript.pyannote[3384].start 15243.30284375
transcript.pyannote[3384].end 15252.85409375
transcript.pyannote[3385].speaker SPEAKER_26
transcript.pyannote[3385].start 15253.07346875
transcript.pyannote[3385].end 15270.80909375
transcript.pyannote[3386].speaker SPEAKER_26
transcript.pyannote[3386].start 15271.04534375
transcript.pyannote[3386].end 15279.55034375
transcript.pyannote[3387].speaker SPEAKER_26
transcript.pyannote[3387].start 15280.09034375
transcript.pyannote[3387].end 15287.73471875
transcript.pyannote[3388].speaker SPEAKER_26
transcript.pyannote[3388].start 15288.57846875
transcript.pyannote[3388].end 15321.38346875
transcript.pyannote[3389].speaker SPEAKER_26
transcript.pyannote[3389].start 15321.78846875
transcript.pyannote[3389].end 15322.48034375
transcript.pyannote[3390].speaker SPEAKER_26
transcript.pyannote[3390].start 15322.54784375
transcript.pyannote[3390].end 15324.74159375
transcript.pyannote[3391].speaker SPEAKER_26
transcript.pyannote[3391].start 15325.92284375
transcript.pyannote[3391].end 15328.36971875
transcript.pyannote[3392].speaker SPEAKER_36
transcript.pyannote[3392].start 15330.63096875
transcript.pyannote[3392].end 15371.18159375
transcript.pyannote[3393].speaker SPEAKER_36
transcript.pyannote[3393].start 15371.75534375
transcript.pyannote[3393].end 15395.36346875
transcript.pyannote[3394].speaker SPEAKER_36
transcript.pyannote[3394].start 15395.59971875
transcript.pyannote[3394].end 15413.90909375
transcript.pyannote[3395].speaker SPEAKER_36
transcript.pyannote[3395].start 15414.46596875
transcript.pyannote[3395].end 15421.90784375
transcript.pyannote[3396].speaker SPEAKER_36
transcript.pyannote[3396].start 15422.48159375
transcript.pyannote[3396].end 15424.59096875
transcript.pyannote[3397].speaker SPEAKER_36
transcript.pyannote[3397].start 15425.41784375
transcript.pyannote[3397].end 15458.47596875
transcript.pyannote[3398].speaker SPEAKER_36
transcript.pyannote[3398].start 15458.76284375
transcript.pyannote[3398].end 15462.30659375
transcript.pyannote[3399].speaker SPEAKER_36
transcript.pyannote[3399].start 15462.96471875
transcript.pyannote[3399].end 15471.06471875
transcript.pyannote[3400].speaker SPEAKER_36
transcript.pyannote[3400].start 15471.08159375
transcript.pyannote[3400].end 15494.08221875
transcript.pyannote[3401].speaker SPEAKER_36
transcript.pyannote[3401].start 15494.75721875
transcript.pyannote[3401].end 15537.56909375
transcript.pyannote[3402].speaker SPEAKER_36
transcript.pyannote[3402].start 15538.59846875
transcript.pyannote[3402].end 15549.90471875
transcript.pyannote[3403].speaker SPEAKER_36
transcript.pyannote[3403].start 15550.25909375
transcript.pyannote[3403].end 15607.41471875
transcript.pyannote[3404].speaker SPEAKER_36
transcript.pyannote[3404].start 15607.93784375
transcript.pyannote[3404].end 15619.26096875
transcript.pyannote[3405].speaker SPEAKER_36
transcript.pyannote[3405].start 15619.78409375
transcript.pyannote[3405].end 15638.09346875
transcript.pyannote[3406].speaker SPEAKER_36
transcript.pyannote[3406].start 15640.00034375
transcript.pyannote[3406].end 15692.83596875
transcript.pyannote[3407].speaker SPEAKER_36
transcript.pyannote[3407].start 15692.90346875
transcript.pyannote[3407].end 15694.13534375
transcript.pyannote[3408].speaker SPEAKER_36
transcript.pyannote[3408].start 15694.37159375
transcript.pyannote[3408].end 15710.01471875
transcript.pyannote[3409].speaker SPEAKER_36
transcript.pyannote[3409].start 15711.22971875
transcript.pyannote[3409].end 15712.19159375
transcript.pyannote[3410].speaker SPEAKER_36
transcript.pyannote[3410].start 15712.81596875
transcript.pyannote[3410].end 15714.01409375
transcript.pyannote[3411].speaker SPEAKER_36
transcript.pyannote[3411].start 15714.25034375
transcript.pyannote[3411].end 15716.20784375
transcript.pyannote[3412].speaker SPEAKER_36
transcript.pyannote[3412].start 15716.69721875
transcript.pyannote[3412].end 15740.22096875
transcript.pyannote[3413].speaker SPEAKER_36
transcript.pyannote[3413].start 15740.52471875
transcript.pyannote[3413].end 15744.64221875
transcript.pyannote[3414].speaker SPEAKER_36
transcript.pyannote[3414].start 15745.48596875
transcript.pyannote[3414].end 15749.56971875
transcript.pyannote[3415].speaker SPEAKER_36
transcript.pyannote[3415].start 15750.31221875
transcript.pyannote[3415].end 15753.68721875
transcript.pyannote[3416].speaker SPEAKER_36
transcript.pyannote[3416].start 15754.37909375
transcript.pyannote[3416].end 15756.35346875
transcript.pyannote[3417].speaker SPEAKER_36
transcript.pyannote[3417].start 15757.06221875
transcript.pyannote[3417].end 15762.49596875
transcript.pyannote[3418].speaker SPEAKER_36
transcript.pyannote[3418].start 15762.66471875
transcript.pyannote[3418].end 15763.59284375
transcript.pyannote[3419].speaker SPEAKER_36
transcript.pyannote[3419].start 15764.08221875
transcript.pyannote[3419].end 15769.14471875
transcript.pyannote[3420].speaker SPEAKER_36
transcript.pyannote[3420].start 15769.90409375
transcript.pyannote[3420].end 15796.61721875
transcript.pyannote[3421].speaker SPEAKER_36
transcript.pyannote[3421].start 15797.20784375
transcript.pyannote[3421].end 15817.66034375
transcript.pyannote[3422].speaker SPEAKER_36
transcript.pyannote[3422].start 15818.50409375
transcript.pyannote[3422].end 15820.49534375
transcript.pyannote[3423].speaker SPEAKER_36
transcript.pyannote[3423].start 15821.03534375
transcript.pyannote[3423].end 15824.57909375
transcript.pyannote[3424].speaker SPEAKER_36
transcript.pyannote[3424].start 15824.96721875
transcript.pyannote[3424].end 15857.95784375
transcript.pyannote[3425].speaker SPEAKER_36
transcript.pyannote[3425].start 15858.73409375
transcript.pyannote[3425].end 15863.79659375
transcript.pyannote[3426].speaker SPEAKER_36
transcript.pyannote[3426].start 15864.38721875
transcript.pyannote[3426].end 15876.75659375
transcript.pyannote[3427].speaker SPEAKER_36
transcript.pyannote[3427].start 15877.26284375
transcript.pyannote[3427].end 15898.25534375
transcript.pyannote[3428].speaker SPEAKER_36
transcript.pyannote[3428].start 15898.76159375
transcript.pyannote[3428].end 15906.74346875
transcript.pyannote[3429].speaker SPEAKER_36
transcript.pyannote[3429].start 15909.05534375
transcript.pyannote[3429].end 15912.75096875
transcript.pyannote[3430].speaker SPEAKER_36
transcript.pyannote[3430].start 15913.37534375
transcript.pyannote[3430].end 15927.17909375
transcript.pyannote[3431].speaker SPEAKER_36
transcript.pyannote[3431].start 15927.75284375
transcript.pyannote[3431].end 15954.38159375
transcript.pyannote[3432].speaker SPEAKER_36
transcript.pyannote[3432].start 15954.88784375
transcript.pyannote[3432].end 15958.34721875
transcript.pyannote[3433].speaker SPEAKER_36
transcript.pyannote[3433].start 15958.70159375
transcript.pyannote[3433].end 15997.98659375
transcript.pyannote[3434].speaker SPEAKER_36
transcript.pyannote[3434].start 15998.88096875
transcript.pyannote[3434].end 16004.58471875
transcript.pyannote[3435].speaker SPEAKER_36
transcript.pyannote[3435].start 16005.02346875
transcript.pyannote[3435].end 16017.57846875
transcript.pyannote[3436].speaker SPEAKER_36
transcript.pyannote[3436].start 16018.15221875
transcript.pyannote[3436].end 16018.91159375
transcript.pyannote[3437].speaker SPEAKER_36
transcript.pyannote[3437].start 16019.24909375
transcript.pyannote[3437].end 16020.12659375
transcript.pyannote[3438].speaker SPEAKER_36
transcript.pyannote[3438].start 16021.18971875
transcript.pyannote[3438].end 16023.87284375
transcript.pyannote[3439].speaker SPEAKER_36
transcript.pyannote[3439].start 16024.21034375
transcript.pyannote[3439].end 16033.62659375
transcript.pyannote[3440].speaker SPEAKER_36
transcript.pyannote[3440].start 16034.48721875
transcript.pyannote[3440].end 16039.98846875
transcript.pyannote[3441].speaker SPEAKER_36
transcript.pyannote[3441].start 16040.32596875
transcript.pyannote[3441].end 16045.79346875
transcript.pyannote[3442].speaker SPEAKER_36
transcript.pyannote[3442].start 16045.92846875
transcript.pyannote[3442].end 16068.94596875
transcript.pyannote[3443].speaker SPEAKER_36
transcript.pyannote[3443].start 16069.48596875
transcript.pyannote[3443].end 16070.93721875
transcript.pyannote[3444].speaker SPEAKER_36
transcript.pyannote[3444].start 16071.17346875
transcript.pyannote[3444].end 16072.89471875
transcript.pyannote[3445].speaker SPEAKER_36
transcript.pyannote[3445].start 16073.43471875
transcript.pyannote[3445].end 16078.02471875
transcript.pyannote[3446].speaker SPEAKER_36
transcript.pyannote[3446].start 16078.22721875
transcript.pyannote[3446].end 16106.05409375
transcript.pyannote[3447].speaker SPEAKER_36
transcript.pyannote[3447].start 16106.52659375
transcript.pyannote[3447].end 16110.37409375
transcript.pyannote[3448].speaker SPEAKER_36
transcript.pyannote[3448].start 16111.36971875
transcript.pyannote[3448].end 16116.26346875
transcript.pyannote[3449].speaker SPEAKER_36
transcript.pyannote[3449].start 16116.55034375
transcript.pyannote[3449].end 16120.21221875
transcript.pyannote[3450].speaker SPEAKER_36
transcript.pyannote[3450].start 16120.60034375
transcript.pyannote[3450].end 16128.10971875
transcript.pyannote[3451].speaker SPEAKER_36
transcript.pyannote[3451].start 16128.78471875
transcript.pyannote[3451].end 16160.12159375
transcript.pyannote[3452].speaker SPEAKER_36
transcript.pyannote[3452].start 16160.17221875
transcript.pyannote[3452].end 16164.50909375
transcript.pyannote[3453].speaker SPEAKER_36
transcript.pyannote[3453].start 16164.72846875
transcript.pyannote[3453].end 16172.59221875
transcript.pyannote[3454].speaker SPEAKER_36
transcript.pyannote[3454].start 16173.53721875
transcript.pyannote[3454].end 16173.95909375
transcript.pyannote[3455].speaker SPEAKER_36
transcript.pyannote[3455].start 16174.58346875
transcript.pyannote[3455].end 16178.56596875
transcript.pyannote[3456].speaker SPEAKER_36
transcript.pyannote[3456].start 16178.86971875
transcript.pyannote[3456].end 16185.50159375
transcript.pyannote[3457].speaker SPEAKER_36
transcript.pyannote[3457].start 16185.94034375
transcript.pyannote[3457].end 16188.67409375
transcript.pyannote[3458].speaker SPEAKER_36
transcript.pyannote[3458].start 16188.85971875
transcript.pyannote[3458].end 16201.83659375
transcript.pyannote[3459].speaker SPEAKER_36
transcript.pyannote[3459].start 16202.35971875
transcript.pyannote[3459].end 16219.70721875
transcript.pyannote[3460].speaker SPEAKER_36
transcript.pyannote[3460].start 16219.75784375
transcript.pyannote[3460].end 16220.53409375
transcript.pyannote[3461].speaker SPEAKER_36
transcript.pyannote[3461].start 16221.14159375
transcript.pyannote[3461].end 16226.67659375
transcript.pyannote[3462].speaker SPEAKER_36
transcript.pyannote[3462].start 16226.77784375
transcript.pyannote[3462].end 16232.66721875
transcript.pyannote[3463].speaker SPEAKER_36
transcript.pyannote[3463].start 16232.98784375
transcript.pyannote[3463].end 16239.31596875
transcript.pyannote[3464].speaker SPEAKER_36
transcript.pyannote[3464].start 16239.65346875
transcript.pyannote[3464].end 16241.74596875
transcript.pyannote[3465].speaker SPEAKER_36
transcript.pyannote[3465].start 16242.55596875
transcript.pyannote[3465].end 16249.30596875
transcript.pyannote[3466].speaker SPEAKER_36
transcript.pyannote[3466].start 16249.52534375
transcript.pyannote[3466].end 16260.17346875
transcript.pyannote[3467].speaker SPEAKER_36
transcript.pyannote[3467].start 16260.54471875
transcript.pyannote[3467].end 16264.30784375
transcript.pyannote[3468].speaker SPEAKER_36
transcript.pyannote[3468].start 16264.69596875
transcript.pyannote[3468].end 16272.67784375
transcript.pyannote[3469].speaker SPEAKER_36
transcript.pyannote[3469].start 16273.13346875
transcript.pyannote[3469].end 16299.98159375
transcript.pyannote[3470].speaker SPEAKER_36
transcript.pyannote[3470].start 16300.52159375
transcript.pyannote[3470].end 16306.51221875
transcript.pyannote[3471].speaker SPEAKER_36
transcript.pyannote[3471].start 16306.98471875
transcript.pyannote[3471].end 16309.31346875
transcript.pyannote[3472].speaker SPEAKER_36
transcript.pyannote[3472].start 16309.58346875
transcript.pyannote[3472].end 16310.02221875
transcript.pyannote[3473].speaker SPEAKER_36
transcript.pyannote[3473].start 16310.93346875
transcript.pyannote[3473].end 16347.46784375
transcript.pyannote[3474].speaker SPEAKER_36
transcript.pyannote[3474].start 16347.50159375
transcript.pyannote[3474].end 16349.72909375
transcript.pyannote[3475].speaker SPEAKER_26
transcript.pyannote[3475].start 16353.27284375
transcript.pyannote[3475].end 16354.26846875
transcript.pyannote[3476].speaker SPEAKER_26
transcript.pyannote[3476].start 16355.56784375
transcript.pyannote[3476].end 16361.23784375
transcript.pyannote[3477].speaker SPEAKER_26
transcript.pyannote[3477].start 17188.77096875
transcript.pyannote[3477].end 17191.36971875
transcript.pyannote[3478].speaker SPEAKER_26
transcript.pyannote[3478].start 17192.01096875
transcript.pyannote[3478].end 17192.31471875
transcript.pyannote[3479].speaker SPEAKER_26
transcript.pyannote[3479].start 17192.75346875
transcript.pyannote[3479].end 17193.47909375
transcript.pyannote[3480].speaker SPEAKER_26
transcript.pyannote[3480].start 17193.66471875
transcript.pyannote[3480].end 17195.68971875
transcript.pyannote[3481].speaker SPEAKER_26
transcript.pyannote[3481].start 17195.95971875
transcript.pyannote[3481].end 17197.41096875
transcript.pyannote[3482].speaker SPEAKER_23
transcript.pyannote[3482].start 17205.17346875
transcript.pyannote[3482].end 17211.21471875
transcript.pyannote[3483].speaker SPEAKER_31
transcript.pyannote[3483].start 17207.31659375
transcript.pyannote[3483].end 17207.43471875
transcript.pyannote[3484].speaker SPEAKER_23
transcript.pyannote[3484].start 17211.82221875
transcript.pyannote[3484].end 17213.03721875
transcript.pyannote[3485].speaker SPEAKER_26
transcript.pyannote[3485].start 17218.42034375
transcript.pyannote[3485].end 17235.71721875
transcript.pyannote[3486].speaker SPEAKER_26
transcript.pyannote[3486].start 17237.60721875
transcript.pyannote[3486].end 17241.79221875
transcript.pyannote[3487].speaker SPEAKER_26
transcript.pyannote[3487].start 17242.83846875
transcript.pyannote[3487].end 17244.94784375
transcript.pyannote[3488].speaker SPEAKER_17
transcript.pyannote[3488].start 17245.28534375
transcript.pyannote[3488].end 17246.24721875
transcript.pyannote[3489].speaker SPEAKER_17
transcript.pyannote[3489].start 17247.98534375
transcript.pyannote[3489].end 17248.32284375
transcript.pyannote[3490].speaker SPEAKER_26
transcript.pyannote[3490].start 17248.17096875
transcript.pyannote[3490].end 17252.30534375
transcript.pyannote[3491].speaker SPEAKER_26
transcript.pyannote[3491].start 17253.13221875
transcript.pyannote[3491].end 17255.00534375
transcript.pyannote[3492].speaker SPEAKER_31
transcript.pyannote[3492].start 17255.00534375
transcript.pyannote[3492].end 17255.51159375
transcript.pyannote[3493].speaker SPEAKER_31
transcript.pyannote[3493].start 17255.69721875
transcript.pyannote[3493].end 17255.88284375
transcript.pyannote[3494].speaker SPEAKER_26
transcript.pyannote[3494].start 17255.83221875
transcript.pyannote[3494].end 17257.03034375
transcript.pyannote[3495].speaker SPEAKER_31
transcript.pyannote[3495].start 17255.89971875
transcript.pyannote[3495].end 17255.95034375
transcript.pyannote[3496].speaker SPEAKER_26
transcript.pyannote[3496].start 17257.73909375
transcript.pyannote[3496].end 17258.71784375
transcript.pyannote[3497].speaker SPEAKER_26
transcript.pyannote[3497].start 17262.71721875
transcript.pyannote[3497].end 17262.75096875
transcript.pyannote[3498].speaker SPEAKER_23
transcript.pyannote[3498].start 17262.75096875
transcript.pyannote[3498].end 17270.93534375
transcript.pyannote[3499].speaker SPEAKER_26
transcript.pyannote[3499].start 17269.82159375
transcript.pyannote[3499].end 17275.62659375
transcript.pyannote[3500].speaker SPEAKER_18
transcript.pyannote[3500].start 17277.97221875
transcript.pyannote[3500].end 17278.64721875
transcript.pyannote[3501].speaker SPEAKER_18
transcript.pyannote[3501].start 17278.74846875
transcript.pyannote[3501].end 17278.86659375
transcript.pyannote[3502].speaker SPEAKER_18
transcript.pyannote[3502].start 17278.96784375
transcript.pyannote[3502].end 17279.17034375
transcript.pyannote[3503].speaker SPEAKER_26
transcript.pyannote[3503].start 17279.17034375
transcript.pyannote[3503].end 17279.18721875
transcript.pyannote[3504].speaker SPEAKER_23
transcript.pyannote[3504].start 17279.18721875
transcript.pyannote[3504].end 17280.80721875
transcript.pyannote[3505].speaker SPEAKER_18
transcript.pyannote[3505].start 17281.04346875
transcript.pyannote[3505].end 17283.49034375
transcript.pyannote[3506].speaker SPEAKER_18
transcript.pyannote[3506].start 17283.82784375
transcript.pyannote[3506].end 17285.22846875
transcript.pyannote[3507].speaker SPEAKER_26
transcript.pyannote[3507].start 17286.56159375
transcript.pyannote[3507].end 17288.92409375
transcript.pyannote[3508].speaker SPEAKER_26
transcript.pyannote[3508].start 17292.73784375
transcript.pyannote[3508].end 17293.02471875
transcript.pyannote[3509].speaker SPEAKER_19
transcript.pyannote[3509].start 17293.02471875
transcript.pyannote[3509].end 17294.99909375
transcript.pyannote[3510].speaker SPEAKER_19
transcript.pyannote[3510].start 17296.53471875
transcript.pyannote[3510].end 17298.94784375
transcript.pyannote[3511].speaker SPEAKER_19
transcript.pyannote[3511].start 17301.10784375
transcript.pyannote[3511].end 17302.96409375
transcript.pyannote[3512].speaker SPEAKER_26
transcript.pyannote[3512].start 17302.96409375
transcript.pyannote[3512].end 17303.94284375
transcript.pyannote[3513].speaker SPEAKER_25
transcript.pyannote[3513].start 17306.96346875
transcript.pyannote[3513].end 17307.03096875
transcript.pyannote[3514].speaker SPEAKER_25
transcript.pyannote[3514].start 17307.31784375
transcript.pyannote[3514].end 17309.00534375
transcript.pyannote[3515].speaker SPEAKER_25
transcript.pyannote[3515].start 17309.54534375
transcript.pyannote[3515].end 17309.57909375
transcript.pyannote[3516].speaker SPEAKER_26
transcript.pyannote[3516].start 17309.57909375
transcript.pyannote[3516].end 17311.26659375
transcript.pyannote[3517].speaker SPEAKER_25
transcript.pyannote[3517].start 17309.61284375
transcript.pyannote[3517].end 17310.13596875
transcript.pyannote[3518].speaker SPEAKER_25
transcript.pyannote[3518].start 17310.43971875
transcript.pyannote[3518].end 17311.24971875
transcript.pyannote[3519].speaker SPEAKER_25
transcript.pyannote[3519].start 17311.26659375
transcript.pyannote[3519].end 17312.32971875
transcript.pyannote[3520].speaker SPEAKER_27
transcript.pyannote[3520].start 17312.32971875
transcript.pyannote[3520].end 17312.75159375
transcript.pyannote[3521].speaker SPEAKER_25
transcript.pyannote[3521].start 17312.75159375
transcript.pyannote[3521].end 17312.88659375
transcript.pyannote[3522].speaker SPEAKER_27
transcript.pyannote[3522].start 17312.88659375
transcript.pyannote[3522].end 17313.49409375
transcript.pyannote[3523].speaker SPEAKER_26
transcript.pyannote[3523].start 17312.90346875
transcript.pyannote[3523].end 17314.62471875
transcript.pyannote[3524].speaker SPEAKER_27
transcript.pyannote[3524].start 17314.64159375
transcript.pyannote[3524].end 17332.79909375
transcript.pyannote[3525].speaker SPEAKER_26
transcript.pyannote[3525].start 17316.44721875
transcript.pyannote[3525].end 17317.02096875
transcript.pyannote[3526].speaker SPEAKER_26
transcript.pyannote[3526].start 17322.47159375
transcript.pyannote[3526].end 17322.97784375
transcript.pyannote[3527].speaker SPEAKER_00
transcript.pyannote[3527].start 17325.57659375
transcript.pyannote[3527].end 17325.74534375
transcript.pyannote[3528].speaker SPEAKER_32
transcript.pyannote[3528].start 17331.01034375
transcript.pyannote[3528].end 17331.46596875
transcript.pyannote[3529].speaker SPEAKER_26
transcript.pyannote[3529].start 17331.46596875
transcript.pyannote[3529].end 17331.48284375
transcript.pyannote[3530].speaker SPEAKER_32
transcript.pyannote[3530].start 17331.48284375
transcript.pyannote[3530].end 17331.51659375
transcript.pyannote[3531].speaker SPEAKER_26
transcript.pyannote[3531].start 17333.03534375
transcript.pyannote[3531].end 17334.04784375
transcript.pyannote[3532].speaker SPEAKER_32
transcript.pyannote[3532].start 17333.11971875
transcript.pyannote[3532].end 17333.96346875
transcript.pyannote[3533].speaker SPEAKER_18
transcript.pyannote[3533].start 17333.96346875
transcript.pyannote[3533].end 17337.96284375
transcript.pyannote[3534].speaker SPEAKER_26
transcript.pyannote[3534].start 17335.90409375
transcript.pyannote[3534].end 17340.17346875
transcript.pyannote[3535].speaker SPEAKER_18
transcript.pyannote[3535].start 17338.30034375
transcript.pyannote[3535].end 17338.33409375
transcript.pyannote[3536].speaker SPEAKER_18
transcript.pyannote[3536].start 17338.36784375
transcript.pyannote[3536].end 17340.03846875
transcript.pyannote[3537].speaker SPEAKER_17
transcript.pyannote[3537].start 17340.03846875
transcript.pyannote[3537].end 17341.08471875
transcript.pyannote[3538].speaker SPEAKER_26
transcript.pyannote[3538].start 17340.51096875
transcript.pyannote[3538].end 17348.88096875
transcript.pyannote[3539].speaker SPEAKER_18
transcript.pyannote[3539].start 17341.08471875
transcript.pyannote[3539].end 17341.21971875
transcript.pyannote[3540].speaker SPEAKER_26
transcript.pyannote[3540].start 17349.58971875
transcript.pyannote[3540].end 17352.61034375
transcript.pyannote[3541].speaker SPEAKER_26
transcript.pyannote[3541].start 17354.71971875
transcript.pyannote[3541].end 17365.92471875
transcript.pyannote[3542].speaker SPEAKER_26
transcript.pyannote[3542].start 17366.49846875
transcript.pyannote[3542].end 17369.08034375
transcript.pyannote[3543].speaker SPEAKER_27
transcript.pyannote[3543].start 17369.08034375
transcript.pyannote[3543].end 17369.56971875
transcript.pyannote[3544].speaker SPEAKER_26
transcript.pyannote[3544].start 17369.56971875
transcript.pyannote[3544].end 17369.67096875
transcript.pyannote[3545].speaker SPEAKER_27
transcript.pyannote[3545].start 17369.67096875
transcript.pyannote[3545].end 17369.94096875
transcript.pyannote[3546].speaker SPEAKER_26
transcript.pyannote[3546].start 17369.94096875
transcript.pyannote[3546].end 17373.88971875
transcript.pyannote[3547].speaker SPEAKER_27
transcript.pyannote[3547].start 17370.07596875
transcript.pyannote[3547].end 17370.76784375
transcript.pyannote[3548].speaker SPEAKER_27
transcript.pyannote[3548].start 17372.75909375
transcript.pyannote[3548].end 17376.15096875
transcript.pyannote[3549].speaker SPEAKER_27
transcript.pyannote[3549].start 17376.38721875
transcript.pyannote[3549].end 17376.77534375
transcript.pyannote[3550].speaker SPEAKER_26
transcript.pyannote[3550].start 17376.42096875
transcript.pyannote[3550].end 17389.02659375
transcript.pyannote[3551].speaker SPEAKER_27
transcript.pyannote[3551].start 17385.43221875
transcript.pyannote[3551].end 17392.30034375
transcript.pyannote[3552].speaker SPEAKER_25
transcript.pyannote[3552].start 17391.13596875
transcript.pyannote[3552].end 17391.81096875
transcript.pyannote[3553].speaker SPEAKER_26
transcript.pyannote[3553].start 17391.81096875
transcript.pyannote[3553].end 17395.40534375
transcript.pyannote[3554].speaker SPEAKER_25
transcript.pyannote[3554].start 17394.71346875
transcript.pyannote[3554].end 17394.86534375
transcript.pyannote[3555].speaker SPEAKER_32
transcript.pyannote[3555].start 17394.86534375
transcript.pyannote[3555].end 17394.98346875
transcript.pyannote[3556].speaker SPEAKER_25
transcript.pyannote[3556].start 17394.98346875
transcript.pyannote[3556].end 17401.61534375
transcript.pyannote[3557].speaker SPEAKER_32
transcript.pyannote[3557].start 17396.08034375
transcript.pyannote[3557].end 17396.78909375
transcript.pyannote[3558].speaker SPEAKER_32
transcript.pyannote[3558].start 17400.68721875
transcript.pyannote[3558].end 17401.46346875
transcript.pyannote[3559].speaker SPEAKER_18
transcript.pyannote[3559].start 17401.61534375
transcript.pyannote[3559].end 17401.86846875
transcript.pyannote[3560].speaker SPEAKER_32
transcript.pyannote[3560].start 17401.86846875
transcript.pyannote[3560].end 17402.03721875
transcript.pyannote[3561].speaker SPEAKER_26
transcript.pyannote[3561].start 17401.98659375
transcript.pyannote[3561].end 17405.34471875
transcript.pyannote[3562].speaker SPEAKER_25
transcript.pyannote[3562].start 17402.03721875
transcript.pyannote[3562].end 17402.07096875
transcript.pyannote[3563].speaker SPEAKER_32
transcript.pyannote[3563].start 17402.07096875
transcript.pyannote[3563].end 17402.12159375
transcript.pyannote[3564].speaker SPEAKER_26
transcript.pyannote[3564].start 17407.53846875
transcript.pyannote[3564].end 17410.81221875
transcript.pyannote[3565].speaker SPEAKER_26
transcript.pyannote[3565].start 17411.30159375
transcript.pyannote[3565].end 17416.04346875
transcript.pyannote[3566].speaker SPEAKER_26
transcript.pyannote[3566].start 17416.54971875
transcript.pyannote[3566].end 17417.39346875
transcript.pyannote[3567].speaker SPEAKER_26
transcript.pyannote[3567].start 17418.20346875
transcript.pyannote[3567].end 17418.89534375
transcript.pyannote[3568].speaker SPEAKER_18
transcript.pyannote[3568].start 17418.47346875
transcript.pyannote[3568].end 17419.19909375
transcript.pyannote[3569].speaker SPEAKER_26
transcript.pyannote[3569].start 17419.19909375
transcript.pyannote[3569].end 17420.80221875
transcript.pyannote[3570].speaker SPEAKER_18
transcript.pyannote[3570].start 17419.23284375
transcript.pyannote[3570].end 17419.28346875
transcript.pyannote[3571].speaker SPEAKER_18
transcript.pyannote[3571].start 17420.48159375
transcript.pyannote[3571].end 17421.03846875
transcript.pyannote[3572].speaker SPEAKER_26
transcript.pyannote[3572].start 17421.34221875
transcript.pyannote[3572].end 17422.11846875
transcript.pyannote[3573].speaker SPEAKER_18
transcript.pyannote[3573].start 17422.57409375
transcript.pyannote[3573].end 17424.59909375
transcript.pyannote[3574].speaker SPEAKER_19
transcript.pyannote[3574].start 17426.62409375
transcript.pyannote[3574].end 17433.39096875
transcript.pyannote[3575].speaker SPEAKER_19
transcript.pyannote[3575].start 17433.94784375
transcript.pyannote[3575].end 17435.87159375
transcript.pyannote[3576].speaker SPEAKER_19
transcript.pyannote[3576].start 17436.39471875
transcript.pyannote[3576].end 17436.85034375
transcript.pyannote[3577].speaker SPEAKER_19
transcript.pyannote[3577].start 17438.20034375
transcript.pyannote[3577].end 17438.65596875
transcript.pyannote[3578].speaker SPEAKER_19
transcript.pyannote[3578].start 17438.94284375
transcript.pyannote[3578].end 17443.04346875
transcript.pyannote[3579].speaker SPEAKER_19
transcript.pyannote[3579].start 17444.25846875
transcript.pyannote[3579].end 17447.02596875
transcript.pyannote[3580].speaker SPEAKER_26
transcript.pyannote[3580].start 17451.05909375
transcript.pyannote[3580].end 17454.43409375
transcript.pyannote[3581].speaker SPEAKER_30
transcript.pyannote[3581].start 17455.46346875
transcript.pyannote[3581].end 17455.48034375
transcript.pyannote[3582].speaker SPEAKER_31
transcript.pyannote[3582].start 17455.48034375
transcript.pyannote[3582].end 17457.15096875
transcript.pyannote[3583].speaker SPEAKER_26
transcript.pyannote[3583].start 17457.72471875
transcript.pyannote[3583].end 17457.74159375
transcript.pyannote[3584].speaker SPEAKER_29
transcript.pyannote[3584].start 17457.74159375
transcript.pyannote[3584].end 17464.64346875
transcript.pyannote[3585].speaker SPEAKER_19
transcript.pyannote[3585].start 17464.25534375
transcript.pyannote[3585].end 17464.55909375
transcript.pyannote[3586].speaker SPEAKER_19
transcript.pyannote[3586].start 17464.64346875
transcript.pyannote[3586].end 17464.76159375
transcript.pyannote[3587].speaker SPEAKER_19
transcript.pyannote[3587].start 17465.16659375
transcript.pyannote[3587].end 17468.96346875
transcript.pyannote[3588].speaker SPEAKER_18
transcript.pyannote[3588].start 17468.96346875
transcript.pyannote[3588].end 17469.01409375
transcript.pyannote[3589].speaker SPEAKER_29
transcript.pyannote[3589].start 17469.16596875
transcript.pyannote[3589].end 17474.71784375
transcript.pyannote[3590].speaker SPEAKER_23
transcript.pyannote[3590].start 17472.16971875
transcript.pyannote[3590].end 17472.97971875
transcript.pyannote[3591].speaker SPEAKER_29
transcript.pyannote[3591].start 17475.39284375
transcript.pyannote[3591].end 17476.96221875
transcript.pyannote[3592].speaker SPEAKER_26
transcript.pyannote[3592].start 17476.96221875
transcript.pyannote[3592].end 17478.05909375
transcript.pyannote[3593].speaker SPEAKER_26
transcript.pyannote[3593].start 17478.09284375
transcript.pyannote[3593].end 17487.59346875
transcript.pyannote[3594].speaker SPEAKER_18
transcript.pyannote[3594].start 17488.01534375
transcript.pyannote[3594].end 17493.28034375
transcript.pyannote[3595].speaker SPEAKER_18
transcript.pyannote[3595].start 17493.56721875
transcript.pyannote[3595].end 17494.02284375
transcript.pyannote[3596].speaker SPEAKER_19
transcript.pyannote[3596].start 17493.60096875
transcript.pyannote[3596].end 17494.02284375
transcript.pyannote[3597].speaker SPEAKER_26
transcript.pyannote[3597].start 17494.02284375
transcript.pyannote[3597].end 17494.03971875
transcript.pyannote[3598].speaker SPEAKER_31
transcript.pyannote[3598].start 17494.02284375
transcript.pyannote[3598].end 17496.31784375
transcript.pyannote[3599].speaker SPEAKER_18
transcript.pyannote[3599].start 17494.03971875
transcript.pyannote[3599].end 17494.12409375
transcript.pyannote[3600].speaker SPEAKER_26
transcript.pyannote[3600].start 17494.12409375
transcript.pyannote[3600].end 17494.27596875
transcript.pyannote[3601].speaker SPEAKER_18
transcript.pyannote[3601].start 17494.27596875
transcript.pyannote[3601].end 17495.03534375
transcript.pyannote[3602].speaker SPEAKER_26
transcript.pyannote[3602].start 17495.03534375
transcript.pyannote[3602].end 17496.14909375
transcript.pyannote[3603].speaker SPEAKER_31
transcript.pyannote[3603].start 17496.38534375
transcript.pyannote[3603].end 17496.99284375
transcript.pyannote[3604].speaker SPEAKER_26
transcript.pyannote[3604].start 17500.14846875
transcript.pyannote[3604].end 17503.45596875
transcript.pyannote[3605].speaker SPEAKER_26
transcript.pyannote[3605].start 17503.94534375
transcript.pyannote[3605].end 17505.34596875
transcript.pyannote[3606].speaker SPEAKER_26
transcript.pyannote[3606].start 17506.57784375
transcript.pyannote[3606].end 17513.74971875
transcript.pyannote[3607].speaker SPEAKER_17
transcript.pyannote[3607].start 17513.86784375
transcript.pyannote[3607].end 17520.11159375
transcript.pyannote[3608].speaker SPEAKER_17
transcript.pyannote[3608].start 17521.61346875
transcript.pyannote[3608].end 17524.34721875
transcript.pyannote[3609].speaker SPEAKER_26
transcript.pyannote[3609].start 17521.84971875
transcript.pyannote[3609].end 17524.49909375
transcript.pyannote[3610].speaker SPEAKER_26
transcript.pyannote[3610].start 17524.51596875
transcript.pyannote[3610].end 17525.42721875
transcript.pyannote[3611].speaker SPEAKER_26
transcript.pyannote[3611].start 17526.05159375
transcript.pyannote[3611].end 17526.45659375
transcript.pyannote[3612].speaker SPEAKER_26
transcript.pyannote[3612].start 17526.94596875
transcript.pyannote[3612].end 17527.58721875
transcript.pyannote[3613].speaker SPEAKER_26
transcript.pyannote[3613].start 17527.92471875
transcript.pyannote[3613].end 17530.03409375
transcript.pyannote[3614].speaker SPEAKER_17
transcript.pyannote[3614].start 17530.75971875
transcript.pyannote[3614].end 17532.51471875
transcript.pyannote[3615].speaker SPEAKER_17
transcript.pyannote[3615].start 17534.01659375
transcript.pyannote[3615].end 17534.03346875
transcript.pyannote[3616].speaker SPEAKER_19
transcript.pyannote[3616].start 17534.03346875
transcript.pyannote[3616].end 17534.06721875
transcript.pyannote[3617].speaker SPEAKER_17
transcript.pyannote[3617].start 17534.06721875
transcript.pyannote[3617].end 17534.97846875
transcript.pyannote[3618].speaker SPEAKER_19
transcript.pyannote[3618].start 17534.18534375
transcript.pyannote[3618].end 17534.77596875
transcript.pyannote[3619].speaker SPEAKER_19
transcript.pyannote[3619].start 17534.97846875
transcript.pyannote[3619].end 17547.16221875
transcript.pyannote[3620].speaker SPEAKER_17
transcript.pyannote[3620].start 17541.34034375
transcript.pyannote[3620].end 17543.09534375
transcript.pyannote[3621].speaker SPEAKER_17
transcript.pyannote[3621].start 17544.42846875
transcript.pyannote[3621].end 17545.96409375
transcript.pyannote[3622].speaker SPEAKER_17
transcript.pyannote[3622].start 17546.58846875
transcript.pyannote[3622].end 17546.62221875
transcript.pyannote[3623].speaker SPEAKER_26
transcript.pyannote[3623].start 17546.62221875
transcript.pyannote[3623].end 17547.14534375
transcript.pyannote[3624].speaker SPEAKER_31
transcript.pyannote[3624].start 17547.14534375
transcript.pyannote[3624].end 17547.41534375
transcript.pyannote[3625].speaker SPEAKER_17
transcript.pyannote[3625].start 17547.41534375
transcript.pyannote[3625].end 17547.48284375
transcript.pyannote[3626].speaker SPEAKER_26
transcript.pyannote[3626].start 17548.66409375
transcript.pyannote[3626].end 17560.99971875
transcript.pyannote[3627].speaker SPEAKER_21
transcript.pyannote[3627].start 17560.99971875
transcript.pyannote[3627].end 17561.06721875
transcript.pyannote[3628].speaker SPEAKER_26
transcript.pyannote[3628].start 17561.62409375
transcript.pyannote[3628].end 17561.67471875
transcript.pyannote[3629].speaker SPEAKER_21
transcript.pyannote[3629].start 17561.67471875
transcript.pyannote[3629].end 17564.40846875
transcript.pyannote[3630].speaker SPEAKER_21
transcript.pyannote[3630].start 17565.26909375
transcript.pyannote[3630].end 17571.46221875
transcript.pyannote[3631].speaker SPEAKER_22
transcript.pyannote[3631].start 17572.33971875
transcript.pyannote[3631].end 17572.35659375
transcript.pyannote[3632].speaker SPEAKER_26
transcript.pyannote[3632].start 17572.35659375
transcript.pyannote[3632].end 17576.33909375
transcript.pyannote[3633].speaker SPEAKER_23
transcript.pyannote[3633].start 17573.41971875
transcript.pyannote[3633].end 17573.45346875
transcript.pyannote[3634].speaker SPEAKER_21
transcript.pyannote[3634].start 17573.45346875
transcript.pyannote[3634].end 17574.31409375
transcript.pyannote[3635].speaker SPEAKER_21
transcript.pyannote[3635].start 17575.66409375
transcript.pyannote[3635].end 17576.03534375
transcript.pyannote[3636].speaker SPEAKER_18
transcript.pyannote[3636].start 17576.03534375
transcript.pyannote[3636].end 17577.11534375
transcript.pyannote[3637].speaker SPEAKER_26
transcript.pyannote[3637].start 17577.36846875
transcript.pyannote[3637].end 17597.78721875
transcript.pyannote[3638].speaker SPEAKER_26
transcript.pyannote[3638].start 17598.22596875
transcript.pyannote[3638].end 17602.02284375
transcript.pyannote[3639].speaker SPEAKER_04
transcript.pyannote[3639].start 17602.02284375
transcript.pyannote[3639].end 17603.81159375
transcript.pyannote[3640].speaker SPEAKER_26
transcript.pyannote[3640].start 17603.81159375
transcript.pyannote[3640].end 17605.02659375
transcript.pyannote[3641].speaker SPEAKER_04
transcript.pyannote[3641].start 17603.84534375
transcript.pyannote[3641].end 17604.26721875
transcript.pyannote[3642].speaker SPEAKER_23
transcript.pyannote[3642].start 17604.26721875
transcript.pyannote[3642].end 17604.33471875
transcript.pyannote[3643].speaker SPEAKER_23
transcript.pyannote[3643].start 17605.02659375
transcript.pyannote[3643].end 17610.96659375
transcript.pyannote[3644].speaker SPEAKER_26
transcript.pyannote[3644].start 17610.96659375
transcript.pyannote[3644].end 17618.66159375
transcript.pyannote[3645].speaker SPEAKER_23
transcript.pyannote[3645].start 17611.99596875
transcript.pyannote[3645].end 17612.51909375
transcript.pyannote[3646].speaker SPEAKER_23
transcript.pyannote[3646].start 17614.20659375
transcript.pyannote[3646].end 17614.74659375
transcript.pyannote[3647].speaker SPEAKER_28
transcript.pyannote[3647].start 17618.27346875
transcript.pyannote[3647].end 17618.59409375
transcript.pyannote[3648].speaker SPEAKER_28
transcript.pyannote[3648].start 17618.66159375
transcript.pyannote[3648].end 17618.72909375
transcript.pyannote[3649].speaker SPEAKER_26
transcript.pyannote[3649].start 17622.66096875
transcript.pyannote[3649].end 17623.08284375
transcript.pyannote[3650].speaker SPEAKER_26
transcript.pyannote[3650].start 17623.26846875
transcript.pyannote[3650].end 17639.09721875
transcript.pyannote[3651].speaker SPEAKER_29
transcript.pyannote[3651].start 17634.06846875
transcript.pyannote[3651].end 17634.94596875
transcript.pyannote[3652].speaker SPEAKER_29
transcript.pyannote[3652].start 17636.38034375
transcript.pyannote[3652].end 17636.63346875
transcript.pyannote[3653].speaker SPEAKER_29
transcript.pyannote[3653].start 17636.66721875
transcript.pyannote[3653].end 17636.90346875
transcript.pyannote[3654].speaker SPEAKER_26
transcript.pyannote[3654].start 17641.45971875
transcript.pyannote[3654].end 17643.56909375
transcript.pyannote[3655].speaker SPEAKER_26
transcript.pyannote[3655].start 17644.46346875
transcript.pyannote[3655].end 17650.40346875
transcript.pyannote[3656].speaker SPEAKER_26
transcript.pyannote[3656].start 17651.87159375
transcript.pyannote[3656].end 17653.22159375
transcript.pyannote[3657].speaker SPEAKER_13
transcript.pyannote[3657].start 17653.22159375
transcript.pyannote[3657].end 17653.28909375
transcript.pyannote[3658].speaker SPEAKER_13
transcript.pyannote[3658].start 17653.71096875
transcript.pyannote[3658].end 17657.38971875
transcript.pyannote[3659].speaker SPEAKER_13
transcript.pyannote[3659].start 17657.91284375
transcript.pyannote[3659].end 17664.02159375
transcript.pyannote[3660].speaker SPEAKER_26
transcript.pyannote[3660].start 17664.49409375
transcript.pyannote[3660].end 17664.51096875
transcript.pyannote[3661].speaker SPEAKER_13
transcript.pyannote[3661].start 17664.51096875
transcript.pyannote[3661].end 17664.86534375
transcript.pyannote[3662].speaker SPEAKER_26
transcript.pyannote[3662].start 17664.86534375
transcript.pyannote[3662].end 17664.89909375
transcript.pyannote[3663].speaker SPEAKER_26
transcript.pyannote[3663].start 17665.23659375
transcript.pyannote[3663].end 17666.45159375
transcript.pyannote[3664].speaker SPEAKER_26
transcript.pyannote[3664].start 17666.97471875
transcript.pyannote[3664].end 17669.37096875
transcript.pyannote[3665].speaker SPEAKER_26
transcript.pyannote[3665].start 17669.47221875
transcript.pyannote[3665].end 17670.45096875
transcript.pyannote[3666].speaker SPEAKER_24
transcript.pyannote[3666].start 17669.86034375
transcript.pyannote[3666].end 17669.89409375
transcript.pyannote[3667].speaker SPEAKER_13
transcript.pyannote[3667].start 17669.89409375
transcript.pyannote[3667].end 17670.87284375
transcript.pyannote[3668].speaker SPEAKER_26
transcript.pyannote[3668].start 17671.17659375
transcript.pyannote[3668].end 17671.24409375
transcript.pyannote[3669].speaker SPEAKER_13
transcript.pyannote[3669].start 17671.24409375
transcript.pyannote[3669].end 17671.58159375
transcript.pyannote[3670].speaker SPEAKER_26
transcript.pyannote[3670].start 17671.58159375
transcript.pyannote[3670].end 17671.96971875
transcript.pyannote[3671].speaker SPEAKER_13
transcript.pyannote[3671].start 17671.96971875
transcript.pyannote[3671].end 17672.20596875
transcript.pyannote[3672].speaker SPEAKER_24
transcript.pyannote[3672].start 17672.20596875
transcript.pyannote[3672].end 17682.95534375
transcript.pyannote[3673].speaker SPEAKER_13
transcript.pyannote[3673].start 17675.37846875
transcript.pyannote[3673].end 17676.25596875
transcript.pyannote[3674].speaker SPEAKER_24
transcript.pyannote[3674].start 17683.61346875
transcript.pyannote[3674].end 17686.51596875
transcript.pyannote[3675].speaker SPEAKER_31
transcript.pyannote[3675].start 17686.04346875
transcript.pyannote[3675].end 17687.96721875
transcript.pyannote[3676].speaker SPEAKER_24
transcript.pyannote[3676].start 17687.64659375
transcript.pyannote[3676].end 17688.96284375
transcript.pyannote[3677].speaker SPEAKER_26
transcript.pyannote[3677].start 17687.96721875
transcript.pyannote[3677].end 17688.03471875
transcript.pyannote[3678].speaker SPEAKER_26
transcript.pyannote[3678].start 17688.50721875
transcript.pyannote[3678].end 17698.17659375
transcript.pyannote[3679].speaker SPEAKER_24
transcript.pyannote[3679].start 17689.43534375
transcript.pyannote[3679].end 17689.97534375
transcript.pyannote[3680].speaker SPEAKER_31
transcript.pyannote[3680].start 17690.02596875
transcript.pyannote[3680].end 17690.90346875
transcript.pyannote[3681].speaker SPEAKER_26
transcript.pyannote[3681].start 17698.56471875
transcript.pyannote[3681].end 17701.53471875
transcript.pyannote[3682].speaker SPEAKER_26
transcript.pyannote[3682].start 17702.68221875
transcript.pyannote[3682].end 17712.58784375
transcript.pyannote[3683].speaker SPEAKER_26
transcript.pyannote[3683].start 17712.92534375
transcript.pyannote[3683].end 17727.60659375
transcript.pyannote[3684].speaker SPEAKER_28
transcript.pyannote[3684].start 17728.04534375
transcript.pyannote[3684].end 17728.06221875
transcript.pyannote[3685].speaker SPEAKER_26
transcript.pyannote[3685].start 17728.06221875
transcript.pyannote[3685].end 17728.23096875
transcript.pyannote[3686].speaker SPEAKER_28
transcript.pyannote[3686].start 17728.23096875
transcript.pyannote[3686].end 17728.38284375
transcript.pyannote[3687].speaker SPEAKER_26
transcript.pyannote[3687].start 17728.68659375
transcript.pyannote[3687].end 17731.42034375
transcript.pyannote[3688].speaker SPEAKER_26
transcript.pyannote[3688].start 17732.51721875
transcript.pyannote[3688].end 17732.53409375
transcript.pyannote[3689].speaker SPEAKER_03
transcript.pyannote[3689].start 17732.53409375
transcript.pyannote[3689].end 17739.65534375
transcript.pyannote[3690].speaker SPEAKER_03
transcript.pyannote[3690].start 17739.92534375
transcript.pyannote[3690].end 17744.44784375
transcript.pyannote[3691].speaker SPEAKER_26
transcript.pyannote[3691].start 17739.99284375
transcript.pyannote[3691].end 17740.85346875
transcript.pyannote[3692].speaker SPEAKER_26
transcript.pyannote[3692].start 17745.46034375
transcript.pyannote[3692].end 17746.94534375
transcript.pyannote[3693].speaker SPEAKER_26
transcript.pyannote[3693].start 17747.85659375
transcript.pyannote[3693].end 17752.63221875
transcript.pyannote[3694].speaker SPEAKER_26
transcript.pyannote[3694].start 17753.69534375
transcript.pyannote[3694].end 17763.19596875
transcript.pyannote[3695].speaker SPEAKER_03
transcript.pyannote[3695].start 17762.63909375
transcript.pyannote[3695].end 17767.02659375
transcript.pyannote[3696].speaker SPEAKER_03
transcript.pyannote[3696].start 17767.34721875
transcript.pyannote[3696].end 17767.63409375
transcript.pyannote[3697].speaker SPEAKER_19
transcript.pyannote[3697].start 17767.38096875
transcript.pyannote[3697].end 17772.96659375
transcript.pyannote[3698].speaker SPEAKER_03
transcript.pyannote[3698].start 17768.93346875
transcript.pyannote[3698].end 17770.62096875
transcript.pyannote[3699].speaker SPEAKER_03
transcript.pyannote[3699].start 17771.71784375
transcript.pyannote[3699].end 17777.96159375
transcript.pyannote[3700].speaker SPEAKER_26
transcript.pyannote[3700].start 17776.10534375
transcript.pyannote[3700].end 17776.57784375
transcript.pyannote[3701].speaker SPEAKER_26
transcript.pyannote[3701].start 17776.83096875
transcript.pyannote[3701].end 17780.00346875
transcript.pyannote[3702].speaker SPEAKER_03
transcript.pyannote[3702].start 17779.85159375
transcript.pyannote[3702].end 17780.27346875
transcript.pyannote[3703].speaker SPEAKER_26
transcript.pyannote[3703].start 17780.18909375
transcript.pyannote[3703].end 17794.12784375
transcript.pyannote[3704].speaker SPEAKER_26
transcript.pyannote[3704].start 17795.22471875
transcript.pyannote[3704].end 17799.32534375
transcript.pyannote[3705].speaker SPEAKER_03
transcript.pyannote[3705].start 17798.88659375
transcript.pyannote[3705].end 17798.97096875
transcript.pyannote[3706].speaker SPEAKER_03
transcript.pyannote[3706].start 17799.02159375
transcript.pyannote[3706].end 17807.61096875
transcript.pyannote[3707].speaker SPEAKER_18
transcript.pyannote[3707].start 17807.61096875
transcript.pyannote[3707].end 17815.82909375
transcript.pyannote[3708].speaker SPEAKER_03
transcript.pyannote[3708].start 17807.69534375
transcript.pyannote[3708].end 17807.79659375
transcript.pyannote[3709].speaker SPEAKER_26
transcript.pyannote[3709].start 17808.43784375
transcript.pyannote[3709].end 17808.55596875
transcript.pyannote[3710].speaker SPEAKER_03
transcript.pyannote[3710].start 17810.46284375
transcript.pyannote[3710].end 17811.37409375
transcript.pyannote[3711].speaker SPEAKER_26
transcript.pyannote[3711].start 17814.32721875
transcript.pyannote[3711].end 17829.31221875
transcript.pyannote[3712].speaker SPEAKER_27
transcript.pyannote[3712].start 17815.82909375
transcript.pyannote[3712].end 17815.86284375
transcript.pyannote[3713].speaker SPEAKER_27
transcript.pyannote[3713].start 17815.87971875
transcript.pyannote[3713].end 17815.96409375
transcript.pyannote[3714].speaker SPEAKER_26
transcript.pyannote[3714].start 17829.73409375
transcript.pyannote[3714].end 17835.06659375
transcript.pyannote[3715].speaker SPEAKER_19
transcript.pyannote[3715].start 17837.49659375
transcript.pyannote[3715].end 17837.51346875
transcript.pyannote[3716].speaker SPEAKER_16
transcript.pyannote[3716].start 17837.51346875
transcript.pyannote[3716].end 17838.30659375
transcript.pyannote[3717].speaker SPEAKER_19
transcript.pyannote[3717].start 17838.30659375
transcript.pyannote[3717].end 17844.02721875
transcript.pyannote[3718].speaker SPEAKER_18
transcript.pyannote[3718].start 17841.07409375
transcript.pyannote[3718].end 17845.52909375
transcript.pyannote[3719].speaker SPEAKER_26
transcript.pyannote[3719].start 17844.02721875
transcript.pyannote[3719].end 17844.19596875
transcript.pyannote[3720].speaker SPEAKER_19
transcript.pyannote[3720].start 17844.19596875
transcript.pyannote[3720].end 17844.34784375
transcript.pyannote[3721].speaker SPEAKER_26
transcript.pyannote[3721].start 17844.34784375
transcript.pyannote[3721].end 17844.36471875
transcript.pyannote[3722].speaker SPEAKER_17
transcript.pyannote[3722].start 17844.36471875
transcript.pyannote[3722].end 17844.49971875
transcript.pyannote[3723].speaker SPEAKER_19
transcript.pyannote[3723].start 17844.49971875
transcript.pyannote[3723].end 17844.58409375
transcript.pyannote[3724].speaker SPEAKER_26
transcript.pyannote[3724].start 17847.62159375
transcript.pyannote[3724].end 17858.80971875
transcript.pyannote[3725].speaker SPEAKER_04
transcript.pyannote[3725].start 17856.63284375
transcript.pyannote[3725].end 17856.76784375
transcript.pyannote[3726].speaker SPEAKER_04
transcript.pyannote[3726].start 17857.40909375
transcript.pyannote[3726].end 17860.02471875
transcript.pyannote[3727].speaker SPEAKER_04
transcript.pyannote[3727].start 17860.39596875
transcript.pyannote[3727].end 17862.99471875
transcript.pyannote[3728].speaker SPEAKER_04
transcript.pyannote[3728].start 17863.48409375
transcript.pyannote[3728].end 17865.81284375
transcript.pyannote[3729].speaker SPEAKER_18
transcript.pyannote[3729].start 17866.69034375
transcript.pyannote[3729].end 17869.08659375
transcript.pyannote[3730].speaker SPEAKER_04
transcript.pyannote[3730].start 17866.97721875
transcript.pyannote[3730].end 17867.09534375
transcript.pyannote[3731].speaker SPEAKER_26
transcript.pyannote[3731].start 17867.09534375
transcript.pyannote[3731].end 17867.38221875
transcript.pyannote[3732].speaker SPEAKER_03
transcript.pyannote[3732].start 17869.20471875
transcript.pyannote[3732].end 17869.50846875
transcript.pyannote[3733].speaker SPEAKER_18
transcript.pyannote[3733].start 17869.69409375
transcript.pyannote[3733].end 17871.68534375
transcript.pyannote[3734].speaker SPEAKER_03
transcript.pyannote[3734].start 17869.81221875
transcript.pyannote[3734].end 17870.16659375
transcript.pyannote[3735].speaker SPEAKER_03
transcript.pyannote[3735].start 17870.35221875
transcript.pyannote[3735].end 17870.36909375
transcript.pyannote[3736].speaker SPEAKER_03
transcript.pyannote[3736].start 17870.40284375
transcript.pyannote[3736].end 17876.10659375
transcript.pyannote[3737].speaker SPEAKER_19
transcript.pyannote[3737].start 17879.05971875
transcript.pyannote[3737].end 17882.18159375
transcript.pyannote[3738].speaker SPEAKER_18
transcript.pyannote[3738].start 17882.18159375
transcript.pyannote[3738].end 17882.19846875
transcript.pyannote[3739].speaker SPEAKER_19
transcript.pyannote[3739].start 17882.73846875
transcript.pyannote[3739].end 17884.96596875
transcript.pyannote[3740].speaker SPEAKER_18
transcript.pyannote[3740].start 17884.96596875
transcript.pyannote[3740].end 17886.13034375
transcript.pyannote[3741].speaker SPEAKER_19
transcript.pyannote[3741].start 17885.32034375
transcript.pyannote[3741].end 17885.50596875
transcript.pyannote[3742].speaker SPEAKER_26
transcript.pyannote[3742].start 17885.50596875
transcript.pyannote[3742].end 17885.77596875
transcript.pyannote[3743].speaker SPEAKER_19
transcript.pyannote[3743].start 17885.77596875
transcript.pyannote[3743].end 17885.91096875
transcript.pyannote[3744].speaker SPEAKER_03
transcript.pyannote[3744].start 17886.63659375
transcript.pyannote[3744].end 17890.07909375
transcript.pyannote[3745].speaker SPEAKER_26
transcript.pyannote[3745].start 17886.68721875
transcript.pyannote[3745].end 17886.70409375
transcript.pyannote[3746].speaker SPEAKER_19
transcript.pyannote[3746].start 17886.70409375
transcript.pyannote[3746].end 17886.75471875
transcript.pyannote[3747].speaker SPEAKER_18
transcript.pyannote[3747].start 17886.75471875
transcript.pyannote[3747].end 17887.15971875
transcript.pyannote[3748].speaker SPEAKER_26
transcript.pyannote[3748].start 17887.15971875
transcript.pyannote[3748].end 17887.46346875
transcript.pyannote[3749].speaker SPEAKER_26
transcript.pyannote[3749].start 17890.07909375
transcript.pyannote[3749].end 17891.81721875
transcript.pyannote[3750].speaker SPEAKER_26
transcript.pyannote[3750].start 17892.67784375
transcript.pyannote[3750].end 17899.49534375
transcript.pyannote[3751].speaker SPEAKER_26
transcript.pyannote[3751].start 17900.18721875
transcript.pyannote[3751].end 17905.43534375
transcript.pyannote[3752].speaker SPEAKER_03
transcript.pyannote[3752].start 17901.33471875
transcript.pyannote[3752].end 17902.78596875
transcript.pyannote[3753].speaker SPEAKER_03
transcript.pyannote[3753].start 17905.50284375
transcript.pyannote[3753].end 17909.65409375
transcript.pyannote[3754].speaker SPEAKER_26
transcript.pyannote[3754].start 17905.99221875
transcript.pyannote[3754].end 17906.70096875
transcript.pyannote[3755].speaker SPEAKER_03
transcript.pyannote[3755].start 17909.80596875
transcript.pyannote[3755].end 17909.83971875
transcript.pyannote[3756].speaker SPEAKER_19
transcript.pyannote[3756].start 17909.83971875
transcript.pyannote[3756].end 17910.17721875
transcript.pyannote[3757].speaker SPEAKER_30
transcript.pyannote[3757].start 17910.12659375
transcript.pyannote[3757].end 17911.03784375
transcript.pyannote[3758].speaker SPEAKER_03
transcript.pyannote[3758].start 17910.17721875
transcript.pyannote[3758].end 17910.70034375
transcript.pyannote[3759].speaker SPEAKER_19
transcript.pyannote[3759].start 17910.70034375
transcript.pyannote[3759].end 17910.86909375
transcript.pyannote[3760].speaker SPEAKER_03
transcript.pyannote[3760].start 17910.86909375
transcript.pyannote[3760].end 17911.02096875
transcript.pyannote[3761].speaker SPEAKER_19
transcript.pyannote[3761].start 17911.02096875
transcript.pyannote[3761].end 17911.76346875
transcript.pyannote[3762].speaker SPEAKER_31
transcript.pyannote[3762].start 17911.03784375
transcript.pyannote[3762].end 17911.22346875
transcript.pyannote[3763].speaker SPEAKER_31
transcript.pyannote[3763].start 17911.32471875
transcript.pyannote[3763].end 17911.44284375
transcript.pyannote[3764].speaker SPEAKER_31
transcript.pyannote[3764].start 17911.76346875
transcript.pyannote[3764].end 17911.81409375
transcript.pyannote[3765].speaker SPEAKER_19
transcript.pyannote[3765].start 17911.81409375
transcript.pyannote[3765].end 17917.19721875
transcript.pyannote[3766].speaker SPEAKER_28
transcript.pyannote[3766].start 17917.12971875
transcript.pyannote[3766].end 17917.16346875
transcript.pyannote[3767].speaker SPEAKER_31
transcript.pyannote[3767].start 17917.16346875
transcript.pyannote[3767].end 17917.60221875
transcript.pyannote[3768].speaker SPEAKER_19
transcript.pyannote[3768].start 17918.27721875
transcript.pyannote[3768].end 17921.53409375
transcript.pyannote[3769].speaker SPEAKER_28
transcript.pyannote[3769].start 17921.53409375
transcript.pyannote[3769].end 17932.80659375
transcript.pyannote[3770].speaker SPEAKER_19
transcript.pyannote[3770].start 17925.60096875
transcript.pyannote[3770].end 17925.92159375
transcript.pyannote[3771].speaker SPEAKER_26
transcript.pyannote[3771].start 17930.03909375
transcript.pyannote[3771].end 17930.51159375
transcript.pyannote[3772].speaker SPEAKER_26
transcript.pyannote[3772].start 17932.80659375
transcript.pyannote[3772].end 17949.96846875
transcript.pyannote[3773].speaker SPEAKER_19
transcript.pyannote[3773].start 17949.96846875
transcript.pyannote[3773].end 17952.56721875
transcript.pyannote[3774].speaker SPEAKER_19
transcript.pyannote[3774].start 17953.69784375
transcript.pyannote[3774].end 17955.55409375
transcript.pyannote[3775].speaker SPEAKER_19
transcript.pyannote[3775].start 17955.77346875
transcript.pyannote[3775].end 17957.17409375
transcript.pyannote[3776].speaker SPEAKER_19
transcript.pyannote[3776].start 17958.03471875
transcript.pyannote[3776].end 17961.61221875
transcript.pyannote[3777].speaker SPEAKER_19
transcript.pyannote[3777].start 17961.83159375
transcript.pyannote[3777].end 17965.79721875
transcript.pyannote[3778].speaker SPEAKER_19
transcript.pyannote[3778].start 17967.16409375
transcript.pyannote[3778].end 17969.94846875
transcript.pyannote[3779].speaker SPEAKER_21
transcript.pyannote[3779].start 17974.30221875
transcript.pyannote[3779].end 17983.97159375
transcript.pyannote[3780].speaker SPEAKER_19
transcript.pyannote[3780].start 17976.66471875
transcript.pyannote[3780].end 17976.96846875
transcript.pyannote[3781].speaker SPEAKER_26
transcript.pyannote[3781].start 17982.40221875
transcript.pyannote[3781].end 17982.68909375
transcript.pyannote[3782].speaker SPEAKER_26
transcript.pyannote[3782].start 17983.97159375
transcript.pyannote[3782].end 17994.58596875
transcript.pyannote[3783].speaker SPEAKER_00
transcript.pyannote[3783].start 17991.41346875
transcript.pyannote[3783].end 17991.64971875
transcript.pyannote[3784].speaker SPEAKER_21
transcript.pyannote[3784].start 17991.64971875
transcript.pyannote[3784].end 17991.97034375
transcript.pyannote[3785].speaker SPEAKER_00
transcript.pyannote[3785].start 17991.97034375
transcript.pyannote[3785].end 17992.78034375
transcript.pyannote[3786].speaker SPEAKER_26
transcript.pyannote[3786].start 17994.99096875
transcript.pyannote[3786].end 17997.97784375
transcript.pyannote[3787].speaker SPEAKER_18
transcript.pyannote[3787].start 17996.74596875
transcript.pyannote[3787].end 17997.94409375
transcript.pyannote[3788].speaker SPEAKER_26
transcript.pyannote[3788].start 17998.77096875
transcript.pyannote[3788].end 18001.48784375
transcript.pyannote[3789].speaker SPEAKER_26
transcript.pyannote[3789].start 18002.31471875
transcript.pyannote[3789].end 18010.11096875
transcript.pyannote[3790].speaker SPEAKER_03
transcript.pyannote[3790].start 18010.75221875
transcript.pyannote[3790].end 18012.91221875
transcript.pyannote[3791].speaker SPEAKER_26
transcript.pyannote[3791].start 18012.91221875
transcript.pyannote[3791].end 18018.31221875
transcript.pyannote[3792].speaker SPEAKER_26
transcript.pyannote[3792].start 18018.54846875
transcript.pyannote[3792].end 18020.10096875
transcript.pyannote[3793].speaker SPEAKER_26
transcript.pyannote[3793].start 18021.31596875
transcript.pyannote[3793].end 18021.33284375
transcript.pyannote[3794].speaker SPEAKER_03
transcript.pyannote[3794].start 18021.33284375
transcript.pyannote[3794].end 18030.15846875
transcript.pyannote[3795].speaker SPEAKER_26
transcript.pyannote[3795].start 18026.15909375
transcript.pyannote[3795].end 18027.18846875
transcript.pyannote[3796].speaker SPEAKER_26
transcript.pyannote[3796].start 18029.77034375
transcript.pyannote[3796].end 18031.06971875
transcript.pyannote[3797].speaker SPEAKER_03
transcript.pyannote[3797].start 18031.35659375
transcript.pyannote[3797].end 18033.78659375
transcript.pyannote[3798].speaker SPEAKER_03
transcript.pyannote[3798].start 18033.90471875
transcript.pyannote[3798].end 18034.07346875
transcript.pyannote[3799].speaker SPEAKER_26
transcript.pyannote[3799].start 18034.68096875
transcript.pyannote[3799].end 18035.13659375
transcript.pyannote[3800].speaker SPEAKER_26
transcript.pyannote[3800].start 18043.67534375
transcript.pyannote[3800].end 18045.46409375
transcript.pyannote[3801].speaker SPEAKER_26
transcript.pyannote[3801].start 18046.81409375
transcript.pyannote[3801].end 18050.84721875
transcript.pyannote[3802].speaker SPEAKER_26
transcript.pyannote[3802].start 18051.72471875
transcript.pyannote[3802].end 18055.52159375
transcript.pyannote[3803].speaker SPEAKER_26
transcript.pyannote[3803].start 18056.19659375
transcript.pyannote[3803].end 18058.30596875
transcript.pyannote[3804].speaker SPEAKER_26
transcript.pyannote[3804].start 18058.60971875
transcript.pyannote[3804].end 18059.89221875
transcript.pyannote[3805].speaker SPEAKER_28
transcript.pyannote[3805].start 18060.26346875
transcript.pyannote[3805].end 18062.76096875
transcript.pyannote[3806].speaker SPEAKER_26
transcript.pyannote[3806].start 18063.57096875
transcript.pyannote[3806].end 18069.15659375
transcript.pyannote[3807].speaker SPEAKER_26
transcript.pyannote[3807].start 18069.94971875
transcript.pyannote[3807].end 18073.32471875
transcript.pyannote[3808].speaker SPEAKER_28
transcript.pyannote[3808].start 18073.32471875
transcript.pyannote[3808].end 18073.37534375
transcript.pyannote[3809].speaker SPEAKER_28
transcript.pyannote[3809].start 18073.67909375
transcript.pyannote[3809].end 18076.95284375
transcript.pyannote[3810].speaker SPEAKER_26
transcript.pyannote[3810].start 18074.53971875
transcript.pyannote[3810].end 18075.97409375
transcript.pyannote[3811].speaker SPEAKER_26
transcript.pyannote[3811].start 18077.69534375
transcript.pyannote[3811].end 18080.44596875
transcript.pyannote[3812].speaker SPEAKER_04
transcript.pyannote[3812].start 18079.55159375
transcript.pyannote[3812].end 18079.66971875
transcript.pyannote[3813].speaker SPEAKER_04
transcript.pyannote[3813].start 18079.93971875
transcript.pyannote[3813].end 18079.99034375
transcript.pyannote[3814].speaker SPEAKER_28
transcript.pyannote[3814].start 18079.99034375
transcript.pyannote[3814].end 18080.02409375
transcript.pyannote[3815].speaker SPEAKER_18
transcript.pyannote[3815].start 18080.05784375
transcript.pyannote[3815].end 18082.48784375
transcript.pyannote[3816].speaker SPEAKER_26
transcript.pyannote[3816].start 18080.46284375
transcript.pyannote[3816].end 18080.96909375
transcript.pyannote[3817].speaker SPEAKER_04
transcript.pyannote[3817].start 18081.99846875
transcript.pyannote[3817].end 18082.16721875
transcript.pyannote[3818].speaker SPEAKER_26
transcript.pyannote[3818].start 18082.16721875
transcript.pyannote[3818].end 18082.18409375
transcript.pyannote[3819].speaker SPEAKER_04
transcript.pyannote[3819].start 18082.48784375
transcript.pyannote[3819].end 18082.85909375
transcript.pyannote[3820].speaker SPEAKER_26
transcript.pyannote[3820].start 18082.85909375
transcript.pyannote[3820].end 18082.89284375
transcript.pyannote[3821].speaker SPEAKER_04
transcript.pyannote[3821].start 18083.61846875
transcript.pyannote[3821].end 18086.09909375
transcript.pyannote[3822].speaker SPEAKER_04
transcript.pyannote[3822].start 18086.50409375
transcript.pyannote[3822].end 18088.32659375
transcript.pyannote[3823].speaker SPEAKER_04
transcript.pyannote[3823].start 18088.69784375
transcript.pyannote[3823].end 18089.38971875
transcript.pyannote[3824].speaker SPEAKER_26
transcript.pyannote[3824].start 18089.38971875
transcript.pyannote[3824].end 18089.40659375
transcript.pyannote[3825].speaker SPEAKER_26
transcript.pyannote[3825].start 18089.72721875
transcript.pyannote[3825].end 18095.21159375
transcript.pyannote[3826].speaker SPEAKER_31
transcript.pyannote[3826].start 18094.73909375
transcript.pyannote[3826].end 18094.75596875
transcript.pyannote[3827].speaker SPEAKER_18
transcript.pyannote[3827].start 18094.75596875
transcript.pyannote[3827].end 18095.46471875
transcript.pyannote[3828].speaker SPEAKER_26
transcript.pyannote[3828].start 18095.51534375
transcript.pyannote[3828].end 18095.93721875
transcript.pyannote[3829].speaker SPEAKER_18
transcript.pyannote[3829].start 18095.93721875
transcript.pyannote[3829].end 18102.53534375
transcript.pyannote[3830].speaker SPEAKER_26
transcript.pyannote[3830].start 18098.01284375
transcript.pyannote[3830].end 18098.97471875
transcript.pyannote[3831].speaker SPEAKER_26
transcript.pyannote[3831].start 18102.53534375
transcript.pyannote[3831].end 18109.84221875
transcript.pyannote[3832].speaker SPEAKER_26
transcript.pyannote[3832].start 18110.71971875
transcript.pyannote[3832].end 18111.27659375
transcript.pyannote[3833].speaker SPEAKER_26
transcript.pyannote[3833].start 18112.13721875
transcript.pyannote[3833].end 18113.62221875
transcript.pyannote[3834].speaker SPEAKER_31
transcript.pyannote[3834].start 18113.95971875
transcript.pyannote[3834].end 18114.21284375
transcript.pyannote[3835].speaker SPEAKER_26
transcript.pyannote[3835].start 18114.73596875
transcript.pyannote[3835].end 18116.40659375
transcript.pyannote[3836].speaker SPEAKER_26
transcript.pyannote[3836].start 18116.65971875
transcript.pyannote[3836].end 18118.60034375
transcript.pyannote[3837].speaker SPEAKER_26
transcript.pyannote[3837].start 18119.27534375
transcript.pyannote[3837].end 18120.91221875
transcript.pyannote[3838].speaker SPEAKER_26
transcript.pyannote[3838].start 18121.72221875
transcript.pyannote[3838].end 18123.93284375
transcript.pyannote[3839].speaker SPEAKER_26
transcript.pyannote[3839].start 18124.20284375
transcript.pyannote[3839].end 18124.77659375
transcript.pyannote[3840].speaker SPEAKER_04
transcript.pyannote[3840].start 18124.64159375
transcript.pyannote[3840].end 18124.84409375
transcript.pyannote[3841].speaker SPEAKER_26
transcript.pyannote[3841].start 18124.84409375
transcript.pyannote[3841].end 18125.99159375
transcript.pyannote[3842].speaker SPEAKER_26
transcript.pyannote[3842].start 18126.83534375
transcript.pyannote[3842].end 18128.05034375
transcript.pyannote[3843].speaker SPEAKER_04
transcript.pyannote[3843].start 18128.53971875
transcript.pyannote[3843].end 18129.06284375
transcript.pyannote[3844].speaker SPEAKER_26
transcript.pyannote[3844].start 18129.06284375
transcript.pyannote[3844].end 18129.43409375
transcript.pyannote[3845].speaker SPEAKER_26
transcript.pyannote[3845].start 18132.06659375
transcript.pyannote[3845].end 18134.47971875
transcript.pyannote[3846].speaker SPEAKER_26
transcript.pyannote[3846].start 18134.59784375
transcript.pyannote[3846].end 18134.96909375
transcript.pyannote[3847].speaker SPEAKER_26
transcript.pyannote[3847].start 18136.74096875
transcript.pyannote[3847].end 18144.50346875
transcript.pyannote[3848].speaker SPEAKER_26
transcript.pyannote[3848].start 18144.92534375
transcript.pyannote[3848].end 18145.75221875
transcript.pyannote[3849].speaker SPEAKER_26
transcript.pyannote[3849].start 18147.45659375
transcript.pyannote[3849].end 18155.25284375
transcript.pyannote[3850].speaker SPEAKER_26
transcript.pyannote[3850].start 18155.53971875
transcript.pyannote[3850].end 18173.08971875
transcript.pyannote[3851].speaker SPEAKER_25
transcript.pyannote[3851].start 18167.92596875
transcript.pyannote[3851].end 18167.95971875
transcript.pyannote[3852].speaker SPEAKER_31
transcript.pyannote[3852].start 18167.95971875
transcript.pyannote[3852].end 18169.24221875
transcript.pyannote[3853].speaker SPEAKER_31
transcript.pyannote[3853].start 18169.37721875
transcript.pyannote[3853].end 18171.45284375
transcript.pyannote[3854].speaker SPEAKER_31
transcript.pyannote[3854].start 18173.29221875
transcript.pyannote[3854].end 18173.59596875
transcript.pyannote[3855].speaker SPEAKER_26
transcript.pyannote[3855].start 18174.40596875
transcript.pyannote[3855].end 18178.52346875
transcript.pyannote[3856].speaker SPEAKER_19
transcript.pyannote[3856].start 18178.30409375
transcript.pyannote[3856].end 18179.26596875
transcript.pyannote[3857].speaker SPEAKER_26
transcript.pyannote[3857].start 18179.26596875
transcript.pyannote[3857].end 18179.62034375
transcript.pyannote[3858].speaker SPEAKER_19
transcript.pyannote[3858].start 18179.28284375
transcript.pyannote[3858].end 18179.53596875
transcript.pyannote[3859].speaker SPEAKER_19
transcript.pyannote[3859].start 18179.95784375
transcript.pyannote[3859].end 18181.24034375
transcript.pyannote[3860].speaker SPEAKER_26
transcript.pyannote[3860].start 18181.40909375
transcript.pyannote[3860].end 18186.97784375
transcript.pyannote[3861].speaker SPEAKER_19
transcript.pyannote[3861].start 18182.37096875
transcript.pyannote[3861].end 18183.58596875
transcript.pyannote[3862].speaker SPEAKER_04
transcript.pyannote[3862].start 18183.58596875
transcript.pyannote[3862].end 18183.63659375
transcript.pyannote[3863].speaker SPEAKER_19
transcript.pyannote[3863].start 18183.63659375
transcript.pyannote[3863].end 18183.70409375
transcript.pyannote[3864].speaker SPEAKER_04
transcript.pyannote[3864].start 18183.70409375
transcript.pyannote[3864].end 18184.64909375
transcript.pyannote[3865].speaker SPEAKER_04
transcript.pyannote[3865].start 18184.69971875
transcript.pyannote[3865].end 18184.83471875
transcript.pyannote[3866].speaker SPEAKER_19
transcript.pyannote[3866].start 18184.83471875
transcript.pyannote[3866].end 18184.93596875
transcript.pyannote[3867].speaker SPEAKER_04
transcript.pyannote[3867].start 18186.28596875
transcript.pyannote[3867].end 18188.41221875
transcript.pyannote[3868].speaker SPEAKER_04
transcript.pyannote[3868].start 18188.96909375
transcript.pyannote[3868].end 18190.03221875
transcript.pyannote[3869].speaker SPEAKER_25
transcript.pyannote[3869].start 18190.52159375
transcript.pyannote[3869].end 18194.03159375
transcript.pyannote[3870].speaker SPEAKER_04
transcript.pyannote[3870].start 18194.03159375
transcript.pyannote[3870].end 18196.05659375
transcript.pyannote[3871].speaker SPEAKER_04
transcript.pyannote[3871].start 18196.51221875
transcript.pyannote[3871].end 18198.38534375
transcript.pyannote[3872].speaker SPEAKER_04
transcript.pyannote[3872].start 18198.50346875
transcript.pyannote[3872].end 18200.81534375
transcript.pyannote[3873].speaker SPEAKER_26
transcript.pyannote[3873].start 18200.83221875
transcript.pyannote[3873].end 18210.99096875
transcript.pyannote[3874].speaker SPEAKER_04
transcript.pyannote[3874].start 18204.27471875
transcript.pyannote[3874].end 18204.76409375
transcript.pyannote[3875].speaker SPEAKER_27
transcript.pyannote[3875].start 18205.84409375
transcript.pyannote[3875].end 18205.87784375
transcript.pyannote[3876].speaker SPEAKER_25
transcript.pyannote[3876].start 18205.87784375
transcript.pyannote[3876].end 18206.02971875
transcript.pyannote[3877].speaker SPEAKER_31
transcript.pyannote[3877].start 18206.02971875
transcript.pyannote[3877].end 18207.73409375
transcript.pyannote[3878].speaker SPEAKER_31
transcript.pyannote[3878].start 18208.13909375
transcript.pyannote[3878].end 18209.10096875
transcript.pyannote[3879].speaker SPEAKER_31
transcript.pyannote[3879].start 18210.14721875
transcript.pyannote[3879].end 18211.46346875
transcript.pyannote[3880].speaker SPEAKER_26
transcript.pyannote[3880].start 18211.46346875
transcript.pyannote[3880].end 18212.61096875
transcript.pyannote[3881].speaker SPEAKER_26
transcript.pyannote[3881].start 18212.83034375
transcript.pyannote[3881].end 18217.79159375
transcript.pyannote[3882].speaker SPEAKER_31
transcript.pyannote[3882].start 18215.22659375
transcript.pyannote[3882].end 18219.29346875
transcript.pyannote[3883].speaker SPEAKER_26
transcript.pyannote[3883].start 18219.04034375
transcript.pyannote[3883].end 18220.03596875
transcript.pyannote[3884].speaker SPEAKER_25
transcript.pyannote[3884].start 18219.29346875
transcript.pyannote[3884].end 18219.51284375
transcript.pyannote[3885].speaker SPEAKER_25
transcript.pyannote[3885].start 18220.03596875
transcript.pyannote[3885].end 18232.55721875
transcript.pyannote[3886].speaker SPEAKER_31
transcript.pyannote[3886].start 18232.75971875
transcript.pyannote[3886].end 18236.72534375
transcript.pyannote[3887].speaker SPEAKER_25
transcript.pyannote[3887].start 18234.76784375
transcript.pyannote[3887].end 18234.80159375
transcript.pyannote[3888].speaker SPEAKER_26
transcript.pyannote[3888].start 18234.80159375
transcript.pyannote[3888].end 18237.50159375
transcript.pyannote[3889].speaker SPEAKER_26
transcript.pyannote[3889].start 18238.31159375
transcript.pyannote[3889].end 18242.12534375
transcript.pyannote[3890].speaker SPEAKER_26
transcript.pyannote[3890].start 18242.66534375
transcript.pyannote[3890].end 18243.07034375
transcript.pyannote[3891].speaker SPEAKER_17
transcript.pyannote[3891].start 18243.37409375
transcript.pyannote[3891].end 18244.16721875
transcript.pyannote[3892].speaker SPEAKER_26
transcript.pyannote[3892].start 18244.33596875
transcript.pyannote[3892].end 18244.35284375
transcript.pyannote[3893].speaker SPEAKER_25
transcript.pyannote[3893].start 18244.35284375
transcript.pyannote[3893].end 18248.89221875
transcript.pyannote[3894].speaker SPEAKER_25
transcript.pyannote[3894].start 18249.16221875
transcript.pyannote[3894].end 18252.03096875
transcript.pyannote[3895].speaker SPEAKER_26
transcript.pyannote[3895].start 18251.18721875
transcript.pyannote[3895].end 18251.96346875
transcript.pyannote[3896].speaker SPEAKER_30
transcript.pyannote[3896].start 18251.96346875
transcript.pyannote[3896].end 18252.23346875
transcript.pyannote[3897].speaker SPEAKER_26
transcript.pyannote[3897].start 18252.03096875
transcript.pyannote[3897].end 18252.04784375
transcript.pyannote[3898].speaker SPEAKER_25
transcript.pyannote[3898].start 18252.04784375
transcript.pyannote[3898].end 18252.35159375
transcript.pyannote[3899].speaker SPEAKER_26
transcript.pyannote[3899].start 18252.23346875
transcript.pyannote[3899].end 18252.26721875
transcript.pyannote[3900].speaker SPEAKER_30
transcript.pyannote[3900].start 18252.26721875
transcript.pyannote[3900].end 18252.31784375
transcript.pyannote[3901].speaker SPEAKER_30
transcript.pyannote[3901].start 18252.35159375
transcript.pyannote[3901].end 18256.30034375
transcript.pyannote[3902].speaker SPEAKER_26
transcript.pyannote[3902].start 18253.17846875
transcript.pyannote[3902].end 18254.93346875
transcript.pyannote[3903].speaker SPEAKER_26
transcript.pyannote[3903].start 18256.30034375
transcript.pyannote[3903].end 18260.65409375
transcript.pyannote[3904].speaker SPEAKER_25
transcript.pyannote[3904].start 18258.54471875
transcript.pyannote[3904].end 18258.56159375
transcript.pyannote[3905].speaker SPEAKER_30
transcript.pyannote[3905].start 18258.56159375
transcript.pyannote[3905].end 18258.78096875
transcript.pyannote[3906].speaker SPEAKER_25
transcript.pyannote[3906].start 18258.78096875
transcript.pyannote[3906].end 18261.00846875
transcript.pyannote[3907].speaker SPEAKER_30
transcript.pyannote[3907].start 18261.00846875
transcript.pyannote[3907].end 18261.14346875
transcript.pyannote[3908].speaker SPEAKER_25
transcript.pyannote[3908].start 18261.14346875
transcript.pyannote[3908].end 18263.21909375
transcript.pyannote[3909].speaker SPEAKER_26
transcript.pyannote[3909].start 18261.27846875
transcript.pyannote[3909].end 18270.84659375
transcript.pyannote[3910].speaker SPEAKER_25
transcript.pyannote[3910].start 18267.74159375
transcript.pyannote[3910].end 18268.36596875
transcript.pyannote[3911].speaker SPEAKER_25
transcript.pyannote[3911].start 18269.36159375
transcript.pyannote[3911].end 18269.58096875
transcript.pyannote[3912].speaker SPEAKER_25
transcript.pyannote[3912].start 18270.03659375
transcript.pyannote[3912].end 18271.55534375
transcript.pyannote[3913].speaker SPEAKER_26
transcript.pyannote[3913].start 18271.92659375
transcript.pyannote[3913].end 18276.02721875
transcript.pyannote[3914].speaker SPEAKER_25
transcript.pyannote[3914].start 18272.80409375
transcript.pyannote[3914].end 18273.22596875
transcript.pyannote[3915].speaker SPEAKER_29
transcript.pyannote[3915].start 18273.22596875
transcript.pyannote[3915].end 18273.24284375
transcript.pyannote[3916].speaker SPEAKER_26
transcript.pyannote[3916].start 18278.87909375
transcript.pyannote[3916].end 18283.03034375
transcript.pyannote[3917].speaker SPEAKER_25
transcript.pyannote[3917].start 18283.03034375
transcript.pyannote[3917].end 18293.23971875
transcript.pyannote[3918].speaker SPEAKER_28
transcript.pyannote[3918].start 18286.50659375
transcript.pyannote[3918].end 18286.64159375
transcript.pyannote[3919].speaker SPEAKER_28
transcript.pyannote[3919].start 18293.23971875
transcript.pyannote[3919].end 18294.37034375
transcript.pyannote[3920].speaker SPEAKER_25
transcript.pyannote[3920].start 18293.79659375
transcript.pyannote[3920].end 18297.32346875
transcript.pyannote[3921].speaker SPEAKER_26
transcript.pyannote[3921].start 18297.66096875
transcript.pyannote[3921].end 18300.14159375
transcript.pyannote[3922].speaker SPEAKER_26
transcript.pyannote[3922].start 18301.12034375
transcript.pyannote[3922].end 18310.24971875
transcript.pyannote[3923].speaker SPEAKER_28
transcript.pyannote[3923].start 18303.14534375
transcript.pyannote[3923].end 18304.49534375
transcript.pyannote[3924].speaker SPEAKER_28
transcript.pyannote[3924].start 18305.45721875
transcript.pyannote[3924].end 18305.49096875
transcript.pyannote[3925].speaker SPEAKER_28
transcript.pyannote[3925].start 18305.55846875
transcript.pyannote[3925].end 18306.82409375
transcript.pyannote[3926].speaker SPEAKER_28
transcript.pyannote[3926].start 18307.75221875
transcript.pyannote[3926].end 18308.32596875
transcript.pyannote[3927].speaker SPEAKER_28
transcript.pyannote[3927].start 18310.26659375
transcript.pyannote[3927].end 18311.73471875
transcript.pyannote[3928].speaker SPEAKER_26
transcript.pyannote[3928].start 18311.65034375
transcript.pyannote[3928].end 18315.83534375
transcript.pyannote[3929].speaker SPEAKER_26
transcript.pyannote[3929].start 18316.39221875
transcript.pyannote[3929].end 18321.47159375
transcript.pyannote[3930].speaker SPEAKER_26
transcript.pyannote[3930].start 18321.75846875
transcript.pyannote[3930].end 18324.64409375
transcript.pyannote[3931].speaker SPEAKER_26
transcript.pyannote[3931].start 18324.76221875
transcript.pyannote[3931].end 18328.71096875
transcript.pyannote[3932].speaker SPEAKER_19
transcript.pyannote[3932].start 18328.12034375
transcript.pyannote[3932].end 18331.02284375
transcript.pyannote[3933].speaker SPEAKER_18
transcript.pyannote[3933].start 18331.02284375
transcript.pyannote[3933].end 18336.52409375
transcript.pyannote[3934].speaker SPEAKER_19
transcript.pyannote[3934].start 18332.33909375
transcript.pyannote[3934].end 18332.35596875
transcript.pyannote[3935].speaker SPEAKER_26
transcript.pyannote[3935].start 18332.35596875
transcript.pyannote[3935].end 18332.98034375
transcript.pyannote[3936].speaker SPEAKER_19
transcript.pyannote[3936].start 18332.98034375
transcript.pyannote[3936].end 18334.63409375
transcript.pyannote[3937].speaker SPEAKER_18
transcript.pyannote[3937].start 18336.92909375
transcript.pyannote[3937].end 18342.97034375
transcript.pyannote[3938].speaker SPEAKER_19
transcript.pyannote[3938].start 18337.03034375
transcript.pyannote[3938].end 18337.09784375
transcript.pyannote[3939].speaker SPEAKER_31
transcript.pyannote[3939].start 18337.09784375
transcript.pyannote[3939].end 18337.87409375
transcript.pyannote[3940].speaker SPEAKER_19
transcript.pyannote[3940].start 18337.87409375
transcript.pyannote[3940].end 18337.97534375
transcript.pyannote[3941].speaker SPEAKER_31
transcript.pyannote[3941].start 18338.39721875
transcript.pyannote[3941].end 18338.49846875
transcript.pyannote[3942].speaker SPEAKER_31
transcript.pyannote[3942].start 18339.15659375
transcript.pyannote[3942].end 18339.27471875
transcript.pyannote[3943].speaker SPEAKER_25
transcript.pyannote[3943].start 18339.27471875
transcript.pyannote[3943].end 18339.69659375
transcript.pyannote[3944].speaker SPEAKER_31
transcript.pyannote[3944].start 18339.69659375
transcript.pyannote[3944].end 18339.96659375
transcript.pyannote[3945].speaker SPEAKER_25
transcript.pyannote[3945].start 18339.96659375
transcript.pyannote[3945].end 18347.07096875
transcript.pyannote[3946].speaker SPEAKER_26
transcript.pyannote[3946].start 18342.97034375
transcript.pyannote[3946].end 18343.10534375
transcript.pyannote[3947].speaker SPEAKER_18
transcript.pyannote[3947].start 18343.10534375
transcript.pyannote[3947].end 18343.32471875
transcript.pyannote[3948].speaker SPEAKER_26
transcript.pyannote[3948].start 18347.07096875
transcript.pyannote[3948].end 18360.04784375
transcript.pyannote[3949].speaker SPEAKER_25
transcript.pyannote[3949].start 18353.23034375
transcript.pyannote[3949].end 18353.97284375
transcript.pyannote[3950].speaker SPEAKER_24
transcript.pyannote[3950].start 18353.97284375
transcript.pyannote[3950].end 18354.02346875
transcript.pyannote[3951].speaker SPEAKER_25
transcript.pyannote[3951].start 18354.02346875
transcript.pyannote[3951].end 18354.96846875
transcript.pyannote[3952].speaker SPEAKER_24
transcript.pyannote[3952].start 18354.96846875
transcript.pyannote[3952].end 18355.30596875
transcript.pyannote[3953].speaker SPEAKER_00
transcript.pyannote[3953].start 18358.29284375
transcript.pyannote[3953].end 18358.30971875
transcript.pyannote[3954].speaker SPEAKER_18
transcript.pyannote[3954].start 18358.30971875
transcript.pyannote[3954].end 18358.51221875
transcript.pyannote[3955].speaker SPEAKER_25
transcript.pyannote[3955].start 18358.51221875
transcript.pyannote[3955].end 18358.96784375
transcript.pyannote[3956].speaker SPEAKER_18
transcript.pyannote[3956].start 18358.96784375
transcript.pyannote[3956].end 18359.05221875
transcript.pyannote[3957].speaker SPEAKER_00
transcript.pyannote[3957].start 18359.05221875
transcript.pyannote[3957].end 18359.08596875
transcript.pyannote[3958].speaker SPEAKER_00
transcript.pyannote[3958].start 18359.47409375
transcript.pyannote[3958].end 18359.52471875
transcript.pyannote[3959].speaker SPEAKER_25
transcript.pyannote[3959].start 18359.52471875
transcript.pyannote[3959].end 18359.57534375
transcript.pyannote[3960].speaker SPEAKER_18
transcript.pyannote[3960].start 18359.57534375
transcript.pyannote[3960].end 18359.76096875
transcript.pyannote[3961].speaker SPEAKER_00
transcript.pyannote[3961].start 18359.76096875
transcript.pyannote[3961].end 18359.82846875
transcript.pyannote[3962].speaker SPEAKER_26
transcript.pyannote[3962].start 18361.49909375
transcript.pyannote[3962].end 18363.03471875
transcript.pyannote[3963].speaker SPEAKER_18
transcript.pyannote[3963].start 18361.58346875
transcript.pyannote[3963].end 18361.81971875
transcript.pyannote[3964].speaker SPEAKER_25
transcript.pyannote[3964].start 18361.81971875
transcript.pyannote[3964].end 18361.85346875
transcript.pyannote[3965].speaker SPEAKER_25
transcript.pyannote[3965].start 18363.03471875
transcript.pyannote[3965].end 18363.67596875
transcript.pyannote[3966].speaker SPEAKER_26
transcript.pyannote[3966].start 18363.08534375
transcript.pyannote[3966].end 18364.14846875
transcript.pyannote[3967].speaker SPEAKER_19
transcript.pyannote[3967].start 18363.67596875
transcript.pyannote[3967].end 18364.03034375
transcript.pyannote[3968].speaker SPEAKER_25
transcript.pyannote[3968].start 18364.03034375
transcript.pyannote[3968].end 18366.08909375
transcript.pyannote[3969].speaker SPEAKER_26
transcript.pyannote[3969].start 18364.43534375
transcript.pyannote[3969].end 18364.57034375
transcript.pyannote[3970].speaker SPEAKER_19
transcript.pyannote[3970].start 18364.57034375
transcript.pyannote[3970].end 18368.58659375
transcript.pyannote[3971].speaker SPEAKER_25
transcript.pyannote[3971].start 18367.91159375
transcript.pyannote[3971].end 18371.08409375
transcript.pyannote[3972].speaker SPEAKER_26
transcript.pyannote[3972].start 18371.08409375
transcript.pyannote[3972].end 18372.02909375
transcript.pyannote[3973].speaker SPEAKER_26
transcript.pyannote[3973].start 18372.77159375
transcript.pyannote[3973].end 18373.75034375
transcript.pyannote[3974].speaker SPEAKER_25
transcript.pyannote[3974].start 18373.75034375
transcript.pyannote[3974].end 18373.76721875
transcript.pyannote[3975].speaker SPEAKER_26
transcript.pyannote[3975].start 18374.32409375
transcript.pyannote[3975].end 18375.45471875
transcript.pyannote[3976].speaker SPEAKER_28
transcript.pyannote[3976].start 18377.22659375
transcript.pyannote[3976].end 18377.80034375
transcript.pyannote[3977].speaker SPEAKER_28
transcript.pyannote[3977].start 18378.22221875
transcript.pyannote[3977].end 18380.78721875
transcript.pyannote[3978].speaker SPEAKER_25
transcript.pyannote[3978].start 18382.17096875
transcript.pyannote[3978].end 18386.25471875
transcript.pyannote[3979].speaker SPEAKER_28
transcript.pyannote[3979].start 18386.27159375
transcript.pyannote[3979].end 18387.11534375
transcript.pyannote[3980].speaker SPEAKER_18
transcript.pyannote[3980].start 18387.11534375
transcript.pyannote[3980].end 18391.03034375
transcript.pyannote[3981].speaker SPEAKER_28
transcript.pyannote[3981].start 18387.25034375
transcript.pyannote[3981].end 18387.92534375
transcript.pyannote[3982].speaker SPEAKER_28
transcript.pyannote[3982].start 18388.39784375
transcript.pyannote[3982].end 18388.87034375
transcript.pyannote[3983].speaker SPEAKER_18
transcript.pyannote[3983].start 18391.18221875
transcript.pyannote[3983].end 18393.96659375
transcript.pyannote[3984].speaker SPEAKER_19
transcript.pyannote[3984].start 18393.96659375
transcript.pyannote[3984].end 18393.98346875
transcript.pyannote[3985].speaker SPEAKER_18
transcript.pyannote[3985].start 18393.98346875
transcript.pyannote[3985].end 18394.32096875
transcript.pyannote[3986].speaker SPEAKER_19
transcript.pyannote[3986].start 18394.32096875
transcript.pyannote[3986].end 18396.07596875
transcript.pyannote[3987].speaker SPEAKER_19
transcript.pyannote[3987].start 18396.64971875
transcript.pyannote[3987].end 18398.03346875
transcript.pyannote[3988].speaker SPEAKER_27
transcript.pyannote[3988].start 18397.49346875
transcript.pyannote[3988].end 18397.51034375
transcript.pyannote[3989].speaker SPEAKER_27
transcript.pyannote[3989].start 18397.56096875
transcript.pyannote[3989].end 18397.57784375
transcript.pyannote[3990].speaker SPEAKER_27
transcript.pyannote[3990].start 18397.61159375
transcript.pyannote[3990].end 18397.67909375
transcript.pyannote[3991].speaker SPEAKER_27
transcript.pyannote[3991].start 18399.09659375
transcript.pyannote[3991].end 18403.43346875
transcript.pyannote[3992].speaker SPEAKER_27
transcript.pyannote[3992].start 18404.29409375
transcript.pyannote[3992].end 18404.32784375
transcript.pyannote[3993].speaker SPEAKER_31
transcript.pyannote[3993].start 18404.32784375
transcript.pyannote[3993].end 18405.67784375
transcript.pyannote[3994].speaker SPEAKER_04
transcript.pyannote[3994].start 18405.67784375
transcript.pyannote[3994].end 18405.71159375
transcript.pyannote[3995].speaker SPEAKER_31
transcript.pyannote[3995].start 18405.71159375
transcript.pyannote[3995].end 18405.77909375
transcript.pyannote[3996].speaker SPEAKER_04
transcript.pyannote[3996].start 18405.77909375
transcript.pyannote[3996].end 18411.11159375
transcript.pyannote[3997].speaker SPEAKER_04
transcript.pyannote[3997].start 18411.46596875
transcript.pyannote[3997].end 18413.37284375
transcript.pyannote[3998].speaker SPEAKER_18
transcript.pyannote[3998].start 18415.17846875
transcript.pyannote[3998].end 18423.95346875
transcript.pyannote[3999].speaker SPEAKER_25
transcript.pyannote[3999].start 18415.48221875
transcript.pyannote[3999].end 18415.51596875
transcript.pyannote[4000].speaker SPEAKER_04
transcript.pyannote[4000].start 18415.51596875
transcript.pyannote[4000].end 18416.69721875
transcript.pyannote[4001].speaker SPEAKER_25
transcript.pyannote[4001].start 18416.69721875
transcript.pyannote[4001].end 18416.74784375
transcript.pyannote[4002].speaker SPEAKER_26
transcript.pyannote[4002].start 18427.61534375
transcript.pyannote[4002].end 18428.86409375
transcript.pyannote[4003].speaker SPEAKER_26
transcript.pyannote[4003].start 18428.93159375
transcript.pyannote[4003].end 18429.91034375
transcript.pyannote[4004].speaker SPEAKER_26
transcript.pyannote[4004].start 18431.20971875
transcript.pyannote[4004].end 18441.99284375
transcript.pyannote[4005].speaker SPEAKER_25
transcript.pyannote[4005].start 18431.37846875
transcript.pyannote[4005].end 18431.59784375
transcript.pyannote[4006].speaker SPEAKER_25
transcript.pyannote[4006].start 18439.24221875
transcript.pyannote[4006].end 18439.49534375
transcript.pyannote[4007].speaker SPEAKER_18
transcript.pyannote[4007].start 18439.49534375
transcript.pyannote[4007].end 18440.60909375
transcript.pyannote[4008].speaker SPEAKER_25
transcript.pyannote[4008].start 18440.60909375
transcript.pyannote[4008].end 18440.96346875
transcript.pyannote[4009].speaker SPEAKER_31
transcript.pyannote[4009].start 18440.96346875
transcript.pyannote[4009].end 18441.09846875
transcript.pyannote[4010].speaker SPEAKER_26
transcript.pyannote[4010].start 18442.75221875
transcript.pyannote[4010].end 18456.89346875
transcript.pyannote[4011].speaker SPEAKER_25
transcript.pyannote[4011].start 18443.81534375
transcript.pyannote[4011].end 18443.88284375
transcript.pyannote[4012].speaker SPEAKER_18
transcript.pyannote[4012].start 18443.88284375
transcript.pyannote[4012].end 18444.06846875
transcript.pyannote[4013].speaker SPEAKER_26
transcript.pyannote[4013].start 18457.12971875
transcript.pyannote[4013].end 18463.66034375
transcript.pyannote[4014].speaker SPEAKER_31
transcript.pyannote[4014].start 18458.78346875
transcript.pyannote[4014].end 18459.12096875
transcript.pyannote[4015].speaker SPEAKER_25
transcript.pyannote[4015].start 18461.26409375
transcript.pyannote[4015].end 18461.34846875
transcript.pyannote[4016].speaker SPEAKER_12
transcript.pyannote[4016].start 18461.34846875
transcript.pyannote[4016].end 18462.96846875
transcript.pyannote[4017].speaker SPEAKER_00
transcript.pyannote[4017].start 18462.96846875
transcript.pyannote[4017].end 18463.05284375
transcript.pyannote[4018].speaker SPEAKER_26
transcript.pyannote[4018].start 18464.28471875
transcript.pyannote[4018].end 18471.16971875
transcript.pyannote[4019].speaker SPEAKER_26
transcript.pyannote[4019].start 18473.38034375
transcript.pyannote[4019].end 18474.74721875
transcript.pyannote[4020].speaker SPEAKER_26
transcript.pyannote[4020].start 18474.94971875
transcript.pyannote[4020].end 18476.11409375
transcript.pyannote[4021].speaker SPEAKER_26
transcript.pyannote[4021].start 18478.12221875
transcript.pyannote[4021].end 18487.82534375
transcript.pyannote[4022].speaker SPEAKER_28
transcript.pyannote[4022].start 18487.82534375
transcript.pyannote[4022].end 18488.09534375
transcript.pyannote[4023].speaker SPEAKER_26
transcript.pyannote[4023].start 18488.75346875
transcript.pyannote[4023].end 18495.80721875
transcript.pyannote[4024].speaker SPEAKER_26
transcript.pyannote[4024].start 18496.71846875
transcript.pyannote[4024].end 18506.65784375
transcript.pyannote[4025].speaker SPEAKER_29
transcript.pyannote[4025].start 18506.65784375
transcript.pyannote[4025].end 18506.67471875
transcript.pyannote[4026].speaker SPEAKER_26
transcript.pyannote[4026].start 18506.67471875
transcript.pyannote[4026].end 18506.72534375
transcript.pyannote[4027].speaker SPEAKER_18
transcript.pyannote[4027].start 18507.97409375
transcript.pyannote[4027].end 18508.02471875
transcript.pyannote[4028].speaker SPEAKER_18
transcript.pyannote[4028].start 18508.09221875
transcript.pyannote[4028].end 18508.19346875
transcript.pyannote[4029].speaker SPEAKER_26
transcript.pyannote[4029].start 18508.58159375
transcript.pyannote[4029].end 18509.91471875
transcript.pyannote[4030].speaker SPEAKER_18
transcript.pyannote[4030].start 18509.91471875
transcript.pyannote[4030].end 18511.83846875
transcript.pyannote[4031].speaker SPEAKER_26
transcript.pyannote[4031].start 18509.93159375
transcript.pyannote[4031].end 18510.65721875
transcript.pyannote[4032].speaker SPEAKER_18
transcript.pyannote[4032].start 18511.95659375
transcript.pyannote[4032].end 18512.04096875
transcript.pyannote[4033].speaker SPEAKER_26
transcript.pyannote[4033].start 18512.04096875
transcript.pyannote[4033].end 18512.74971875
transcript.pyannote[4034].speaker SPEAKER_18
transcript.pyannote[4034].start 18512.05784375
transcript.pyannote[4034].end 18512.31096875
transcript.pyannote[4035].speaker SPEAKER_18
transcript.pyannote[4035].start 18512.74971875
transcript.pyannote[4035].end 18513.03659375
transcript.pyannote[4036].speaker SPEAKER_18
transcript.pyannote[4036].start 18513.13784375
transcript.pyannote[4036].end 18513.86346875
transcript.pyannote[4037].speaker SPEAKER_26
transcript.pyannote[4037].start 18514.26846875
transcript.pyannote[4037].end 18516.12471875
transcript.pyannote[4038].speaker SPEAKER_18
transcript.pyannote[4038].start 18515.24721875
transcript.pyannote[4038].end 18515.56784375
transcript.pyannote[4039].speaker SPEAKER_26
transcript.pyannote[4039].start 18516.34409375
transcript.pyannote[4039].end 18516.78284375
transcript.pyannote[4040].speaker SPEAKER_06
transcript.pyannote[4040].start 18516.78284375
transcript.pyannote[4040].end 18516.85034375
transcript.pyannote[4041].speaker SPEAKER_26
transcript.pyannote[4041].start 18516.85034375
transcript.pyannote[4041].end 18521.32221875
transcript.pyannote[4042].speaker SPEAKER_18
transcript.pyannote[4042].start 18517.32284375
transcript.pyannote[4042].end 18517.62659375
transcript.pyannote[4043].speaker SPEAKER_06
transcript.pyannote[4043].start 18517.62659375
transcript.pyannote[4043].end 18517.86284375
transcript.pyannote[4044].speaker SPEAKER_18
transcript.pyannote[4044].start 18517.86284375
transcript.pyannote[4044].end 18517.91346875
transcript.pyannote[4045].speaker SPEAKER_32
transcript.pyannote[4045].start 18517.91346875
transcript.pyannote[4045].end 18517.98096875
transcript.pyannote[4046].speaker SPEAKER_26
transcript.pyannote[4046].start 18524.59596875
transcript.pyannote[4046].end 18531.16034375
transcript.pyannote[4047].speaker SPEAKER_26
transcript.pyannote[4047].start 18532.05471875
transcript.pyannote[4047].end 18536.25659375
transcript.pyannote[4048].speaker SPEAKER_26
transcript.pyannote[4048].start 18536.67846875
transcript.pyannote[4048].end 18538.85534375
transcript.pyannote[4049].speaker SPEAKER_13
transcript.pyannote[4049].start 18541.75784375
transcript.pyannote[4049].end 18596.60159375
transcript.pyannote[4050].speaker SPEAKER_13
transcript.pyannote[4050].start 18596.88846875
transcript.pyannote[4050].end 18597.86721875
transcript.pyannote[4051].speaker SPEAKER_26
transcript.pyannote[4051].start 18598.47471875
transcript.pyannote[4051].end 18600.66846875
transcript.pyannote[4052].speaker SPEAKER_19
transcript.pyannote[4052].start 18602.11971875
transcript.pyannote[4052].end 18602.64284375
transcript.pyannote[4053].speaker SPEAKER_19
transcript.pyannote[4053].start 18603.26721875
transcript.pyannote[4053].end 18608.04284375
transcript.pyannote[4054].speaker SPEAKER_19
transcript.pyannote[4054].start 18608.58284375
transcript.pyannote[4054].end 18609.19034375
transcript.pyannote[4055].speaker SPEAKER_19
transcript.pyannote[4055].start 18609.69659375
transcript.pyannote[4055].end 18618.28596875
transcript.pyannote[4056].speaker SPEAKER_19
transcript.pyannote[4056].start 18618.60659375
transcript.pyannote[4056].end 18621.23909375
transcript.pyannote[4057].speaker SPEAKER_19
transcript.pyannote[4057].start 18621.76221875
transcript.pyannote[4057].end 18623.65221875
transcript.pyannote[4058].speaker SPEAKER_13
transcript.pyannote[4058].start 18624.74909375
transcript.pyannote[4058].end 18625.39034375
transcript.pyannote[4059].speaker SPEAKER_19
transcript.pyannote[4059].start 18626.48721875
transcript.pyannote[4059].end 18628.63034375
transcript.pyannote[4060].speaker SPEAKER_19
transcript.pyannote[4060].start 18629.72721875
transcript.pyannote[4060].end 18630.63846875
transcript.pyannote[4061].speaker SPEAKER_36
transcript.pyannote[4061].start 18630.63846875
transcript.pyannote[4061].end 18630.82409375
transcript.pyannote[4062].speaker SPEAKER_36
transcript.pyannote[4062].start 18632.39346875
transcript.pyannote[4062].end 18632.78159375
transcript.pyannote[4063].speaker SPEAKER_19
transcript.pyannote[4063].start 18632.78159375
transcript.pyannote[4063].end 18635.66721875
transcript.pyannote[4064].speaker SPEAKER_19
transcript.pyannote[4064].start 18635.80221875
transcript.pyannote[4064].end 18638.23221875
transcript.pyannote[4065].speaker SPEAKER_13
transcript.pyannote[4065].start 18637.45596875
transcript.pyannote[4065].end 18637.70909375
transcript.pyannote[4066].speaker SPEAKER_36
transcript.pyannote[4066].start 18637.70909375
transcript.pyannote[4066].end 18637.75971875
transcript.pyannote[4067].speaker SPEAKER_13
transcript.pyannote[4067].start 18637.75971875
transcript.pyannote[4067].end 18637.84409375
transcript.pyannote[4068].speaker SPEAKER_19
transcript.pyannote[4068].start 18640.69596875
transcript.pyannote[4068].end 18640.71284375
transcript.pyannote[4069].speaker SPEAKER_13
transcript.pyannote[4069].start 18640.71284375
transcript.pyannote[4069].end 18645.53909375
transcript.pyannote[4070].speaker SPEAKER_13
transcript.pyannote[4070].start 18645.85971875
transcript.pyannote[4070].end 18649.35284375
transcript.pyannote[4071].speaker SPEAKER_26
transcript.pyannote[4071].start 18649.84221875
transcript.pyannote[4071].end 18657.90846875
transcript.pyannote[4072].speaker SPEAKER_18
transcript.pyannote[4072].start 18654.87096875
transcript.pyannote[4072].end 18655.84971875
transcript.pyannote[4073].speaker SPEAKER_18
transcript.pyannote[4073].start 18656.52471875
transcript.pyannote[4073].end 18661.70534375
transcript.pyannote[4074].speaker SPEAKER_13
transcript.pyannote[4074].start 18657.90846875
transcript.pyannote[4074].end 18657.92534375
transcript.pyannote[4075].speaker SPEAKER_13
transcript.pyannote[4075].start 18662.11034375
transcript.pyannote[4075].end 18670.46346875
transcript.pyannote[4076].speaker SPEAKER_26
transcript.pyannote[4076].start 18667.91534375
transcript.pyannote[4076].end 18668.96159375
transcript.pyannote[4077].speaker SPEAKER_26
transcript.pyannote[4077].start 18671.69534375
transcript.pyannote[4077].end 18674.02409375
transcript.pyannote[4078].speaker SPEAKER_26
transcript.pyannote[4078].start 18675.25596875
transcript.pyannote[4078].end 18684.94221875
transcript.pyannote[4079].speaker SPEAKER_26
transcript.pyannote[4079].start 18685.51596875
transcript.pyannote[4079].end 18687.23721875
transcript.pyannote[4080].speaker SPEAKER_26
transcript.pyannote[4080].start 18687.86159375
transcript.pyannote[4080].end 18689.41409375
transcript.pyannote[4081].speaker SPEAKER_26
transcript.pyannote[4081].start 18690.13971875
transcript.pyannote[4081].end 18691.00034375
transcript.pyannote[4082].speaker SPEAKER_26
transcript.pyannote[4082].start 18691.57409375
transcript.pyannote[4082].end 18694.10534375
transcript.pyannote[4083].speaker SPEAKER_26
transcript.pyannote[4083].start 18694.37534375
transcript.pyannote[4083].end 18695.84346875
transcript.pyannote[4084].speaker SPEAKER_26
transcript.pyannote[4084].start 18698.07096875
transcript.pyannote[4084].end 18698.66159375
transcript.pyannote[4085].speaker SPEAKER_21
transcript.pyannote[4085].start 18700.61909375
transcript.pyannote[4085].end 18700.63596875
transcript.pyannote[4086].speaker SPEAKER_26
transcript.pyannote[4086].start 18700.63596875
transcript.pyannote[4086].end 18700.97346875
transcript.pyannote[4087].speaker SPEAKER_21
transcript.pyannote[4087].start 18700.97346875
transcript.pyannote[4087].end 18701.02409375
transcript.pyannote[4088].speaker SPEAKER_26
transcript.pyannote[4088].start 18701.02409375
transcript.pyannote[4088].end 18703.20096875
transcript.pyannote[4089].speaker SPEAKER_21
transcript.pyannote[4089].start 18703.20096875
transcript.pyannote[4089].end 18703.21784375
transcript.pyannote[4090].speaker SPEAKER_21
transcript.pyannote[4090].start 18703.31909375
transcript.pyannote[4090].end 18703.96034375
transcript.pyannote[4091].speaker SPEAKER_26
transcript.pyannote[4091].start 18703.96034375
transcript.pyannote[4091].end 18704.34846875
transcript.pyannote[4092].speaker SPEAKER_21
transcript.pyannote[4092].start 18704.34846875
transcript.pyannote[4092].end 18704.53409375
transcript.pyannote[4093].speaker SPEAKER_26
transcript.pyannote[4093].start 18704.53409375
transcript.pyannote[4093].end 18704.56784375
transcript.pyannote[4094].speaker SPEAKER_31
transcript.pyannote[4094].start 18704.56784375
transcript.pyannote[4094].end 18704.63534375
transcript.pyannote[4095].speaker SPEAKER_26
transcript.pyannote[4095].start 18704.63534375
transcript.pyannote[4095].end 18704.78721875
transcript.pyannote[4096].speaker SPEAKER_25
transcript.pyannote[4096].start 18704.97284375
transcript.pyannote[4096].end 18705.02346875
transcript.pyannote[4097].speaker SPEAKER_21
transcript.pyannote[4097].start 18705.14159375
transcript.pyannote[4097].end 18705.39471875
transcript.pyannote[4098].speaker SPEAKER_26
transcript.pyannote[4098].start 18705.39471875
transcript.pyannote[4098].end 18706.81221875
transcript.pyannote[4099].speaker SPEAKER_26
transcript.pyannote[4099].start 18708.75284375
transcript.pyannote[4099].end 18714.08534375
transcript.pyannote[4100].speaker SPEAKER_26
transcript.pyannote[4100].start 18715.04721875
transcript.pyannote[4100].end 18719.09721875
transcript.pyannote[4101].speaker SPEAKER_26
transcript.pyannote[4101].start 18719.53596875
transcript.pyannote[4101].end 18720.32909375
transcript.pyannote[4102].speaker SPEAKER_31
transcript.pyannote[4102].start 18720.32909375
transcript.pyannote[4102].end 18720.70034375
transcript.pyannote[4103].speaker SPEAKER_26
transcript.pyannote[4103].start 18721.44284375
transcript.pyannote[4103].end 18722.97846875
transcript.pyannote[4104].speaker SPEAKER_34
transcript.pyannote[4104].start 18722.97846875
transcript.pyannote[4104].end 18722.99534375
transcript.pyannote[4105].speaker SPEAKER_34
transcript.pyannote[4105].start 18723.53534375
transcript.pyannote[4105].end 18742.85721875
transcript.pyannote[4106].speaker SPEAKER_04
transcript.pyannote[4106].start 18741.33846875
transcript.pyannote[4106].end 18753.20159375
transcript.pyannote[4107].speaker SPEAKER_34
transcript.pyannote[4107].start 18748.02096875
transcript.pyannote[4107].end 18748.84784375
transcript.pyannote[4108].speaker SPEAKER_34
transcript.pyannote[4108].start 18751.91909375
transcript.pyannote[4108].end 18752.27346875
transcript.pyannote[4109].speaker SPEAKER_04
transcript.pyannote[4109].start 18753.55596875
transcript.pyannote[4109].end 18757.52159375
transcript.pyannote[4110].speaker SPEAKER_34
transcript.pyannote[4110].start 18754.07909375
transcript.pyannote[4110].end 18758.97284375
transcript.pyannote[4111].speaker SPEAKER_04
transcript.pyannote[4111].start 18758.43284375
transcript.pyannote[4111].end 18759.02346875
transcript.pyannote[4112].speaker SPEAKER_34
transcript.pyannote[4112].start 18759.02346875
transcript.pyannote[4112].end 18761.11596875
transcript.pyannote[4113].speaker SPEAKER_04
transcript.pyannote[4113].start 18759.88409375
transcript.pyannote[4113].end 18761.77409375
transcript.pyannote[4114].speaker SPEAKER_34
transcript.pyannote[4114].start 18761.77409375
transcript.pyannote[4114].end 18762.01034375
transcript.pyannote[4115].speaker SPEAKER_04
transcript.pyannote[4115].start 18762.01034375
transcript.pyannote[4115].end 18763.44471875
transcript.pyannote[4116].speaker SPEAKER_34
transcript.pyannote[4116].start 18762.31409375
transcript.pyannote[4116].end 18772.57409375
transcript.pyannote[4117].speaker SPEAKER_04
transcript.pyannote[4117].start 18764.86221875
transcript.pyannote[4117].end 18764.91284375
transcript.pyannote[4118].speaker SPEAKER_31
transcript.pyannote[4118].start 18766.73534375
transcript.pyannote[4118].end 18766.76909375
transcript.pyannote[4119].speaker SPEAKER_04
transcript.pyannote[4119].start 18766.76909375
transcript.pyannote[4119].end 18767.86596875
transcript.pyannote[4120].speaker SPEAKER_31
transcript.pyannote[4120].start 18767.86596875
transcript.pyannote[4120].end 18768.03471875
transcript.pyannote[4121].speaker SPEAKER_04
transcript.pyannote[4121].start 18768.03471875
transcript.pyannote[4121].end 18768.11909375
transcript.pyannote[4122].speaker SPEAKER_31
transcript.pyannote[4122].start 18768.11909375
transcript.pyannote[4122].end 18768.18659375
transcript.pyannote[4123].speaker SPEAKER_04
transcript.pyannote[4123].start 18768.18659375
transcript.pyannote[4123].end 18770.97096875
transcript.pyannote[4124].speaker SPEAKER_04
transcript.pyannote[4124].start 18771.03846875
transcript.pyannote[4124].end 18772.65846875
transcript.pyannote[4125].speaker SPEAKER_31
transcript.pyannote[4125].start 18772.57409375
transcript.pyannote[4125].end 18772.60784375
transcript.pyannote[4126].speaker SPEAKER_31
transcript.pyannote[4126].start 18772.65846875
transcript.pyannote[4126].end 18772.77659375
transcript.pyannote[4127].speaker SPEAKER_34
transcript.pyannote[4127].start 18772.77659375
transcript.pyannote[4127].end 18773.02971875
transcript.pyannote[4128].speaker SPEAKER_03
transcript.pyannote[4128].start 18773.02971875
transcript.pyannote[4128].end 18773.13096875
transcript.pyannote[4129].speaker SPEAKER_34
transcript.pyannote[4129].start 18773.13096875
transcript.pyannote[4129].end 18773.97471875
transcript.pyannote[4130].speaker SPEAKER_03
transcript.pyannote[4130].start 18773.97471875
transcript.pyannote[4130].end 18775.03784375
transcript.pyannote[4131].speaker SPEAKER_04
transcript.pyannote[4131].start 18774.98721875
transcript.pyannote[4131].end 18782.96909375
transcript.pyannote[4132].speaker SPEAKER_19
transcript.pyannote[4132].start 18775.03784375
transcript.pyannote[4132].end 18776.30346875
transcript.pyannote[4133].speaker SPEAKER_03
transcript.pyannote[4133].start 18776.30346875
transcript.pyannote[4133].end 18776.37096875
transcript.pyannote[4134].speaker SPEAKER_19
transcript.pyannote[4134].start 18776.37096875
transcript.pyannote[4134].end 18776.48909375
transcript.pyannote[4135].speaker SPEAKER_03
transcript.pyannote[4135].start 18776.48909375
transcript.pyannote[4135].end 18776.60721875
transcript.pyannote[4136].speaker SPEAKER_19
transcript.pyannote[4136].start 18776.60721875
transcript.pyannote[4136].end 18776.74221875
transcript.pyannote[4137].speaker SPEAKER_03
transcript.pyannote[4137].start 18776.74221875
transcript.pyannote[4137].end 18776.82659375
transcript.pyannote[4138].speaker SPEAKER_19
transcript.pyannote[4138].start 18776.82659375
transcript.pyannote[4138].end 18776.84346875
transcript.pyannote[4139].speaker SPEAKER_03
transcript.pyannote[4139].start 18776.84346875
transcript.pyannote[4139].end 18776.87721875
transcript.pyannote[4140].speaker SPEAKER_19
transcript.pyannote[4140].start 18776.87721875
transcript.pyannote[4140].end 18776.91096875
transcript.pyannote[4141].speaker SPEAKER_36
transcript.pyannote[4141].start 18776.91096875
transcript.pyannote[4141].end 18776.92784375
transcript.pyannote[4142].speaker SPEAKER_26
transcript.pyannote[4142].start 18780.55596875
transcript.pyannote[4142].end 18780.96096875
transcript.pyannote[4143].speaker SPEAKER_19
transcript.pyannote[4143].start 18780.96096875
transcript.pyannote[4143].end 18780.99471875
transcript.pyannote[4144].speaker SPEAKER_26
transcript.pyannote[4144].start 18780.99471875
transcript.pyannote[4144].end 18781.11284375
transcript.pyannote[4145].speaker SPEAKER_19
transcript.pyannote[4145].start 18781.11284375
transcript.pyannote[4145].end 18781.68659375
transcript.pyannote[4146].speaker SPEAKER_19
transcript.pyannote[4146].start 18781.85534375
transcript.pyannote[4146].end 18782.19284375
transcript.pyannote[4147].speaker SPEAKER_26
transcript.pyannote[4147].start 18782.96909375
transcript.pyannote[4147].end 18783.77909375
transcript.pyannote[4148].speaker SPEAKER_19
transcript.pyannote[4148].start 18783.22221875
transcript.pyannote[4148].end 18786.00659375
transcript.pyannote[4149].speaker SPEAKER_26
transcript.pyannote[4149].start 18784.16721875
transcript.pyannote[4149].end 18794.88284375
transcript.pyannote[4150].speaker SPEAKER_34
transcript.pyannote[4150].start 18794.88284375
transcript.pyannote[4150].end 18794.91659375
transcript.pyannote[4151].speaker SPEAKER_26
transcript.pyannote[4151].start 18794.91659375
transcript.pyannote[4151].end 18794.96721875
transcript.pyannote[4152].speaker SPEAKER_34
transcript.pyannote[4152].start 18794.96721875
transcript.pyannote[4152].end 18795.76034375
transcript.pyannote[4153].speaker SPEAKER_26
transcript.pyannote[4153].start 18795.47346875
transcript.pyannote[4153].end 18800.38409375
transcript.pyannote[4154].speaker SPEAKER_26
transcript.pyannote[4154].start 18802.39221875
transcript.pyannote[4154].end 18805.12596875
transcript.pyannote[4155].speaker SPEAKER_17
transcript.pyannote[4155].start 18804.85596875
transcript.pyannote[4155].end 18806.72909375
transcript.pyannote[4156].speaker SPEAKER_26
transcript.pyannote[4156].start 18805.91909375
transcript.pyannote[4156].end 18808.02846875
transcript.pyannote[4157].speaker SPEAKER_04
transcript.pyannote[4157].start 18808.02846875
transcript.pyannote[4157].end 18817.17471875
transcript.pyannote[4158].speaker SPEAKER_34
transcript.pyannote[4158].start 18817.17471875
transcript.pyannote[4158].end 18819.43596875
transcript.pyannote[4159].speaker SPEAKER_04
transcript.pyannote[4159].start 18817.46159375
transcript.pyannote[4159].end 18817.52909375
transcript.pyannote[4160].speaker SPEAKER_26
transcript.pyannote[4160].start 18819.62159375
transcript.pyannote[4160].end 18821.24159375
transcript.pyannote[4161].speaker SPEAKER_26
transcript.pyannote[4161].start 18821.47784375
transcript.pyannote[4161].end 18825.64596875
transcript.pyannote[4162].speaker SPEAKER_26
transcript.pyannote[4162].start 18826.70909375
transcript.pyannote[4162].end 18834.58971875
transcript.pyannote[4163].speaker SPEAKER_26
transcript.pyannote[4163].start 18835.93971875
transcript.pyannote[4163].end 18838.72409375
transcript.pyannote[4164].speaker SPEAKER_17
transcript.pyannote[4164].start 18837.05346875
transcript.pyannote[4164].end 18837.10409375
transcript.pyannote[4165].speaker SPEAKER_34
transcript.pyannote[4165].start 18837.18846875
transcript.pyannote[4165].end 18845.98034375
transcript.pyannote[4166].speaker SPEAKER_17
transcript.pyannote[4166].start 18838.72409375
transcript.pyannote[4166].end 18838.84221875
transcript.pyannote[4167].speaker SPEAKER_26
transcript.pyannote[4167].start 18838.84221875
transcript.pyannote[4167].end 18839.19659375
transcript.pyannote[4168].speaker SPEAKER_18
transcript.pyannote[4168].start 18846.58784375
transcript.pyannote[4168].end 18848.73096875
transcript.pyannote[4169].speaker SPEAKER_34
transcript.pyannote[4169].start 18847.44846875
transcript.pyannote[4169].end 18848.98409375
transcript.pyannote[4170].speaker SPEAKER_18
transcript.pyannote[4170].start 18848.78159375
transcript.pyannote[4170].end 18848.81534375
transcript.pyannote[4171].speaker SPEAKER_18
transcript.pyannote[4171].start 18848.98409375
transcript.pyannote[4171].end 18849.01784375
transcript.pyannote[4172].speaker SPEAKER_34
transcript.pyannote[4172].start 18849.01784375
transcript.pyannote[4172].end 18849.03471875
transcript.pyannote[4173].speaker SPEAKER_26
transcript.pyannote[4173].start 18849.03471875
transcript.pyannote[4173].end 18858.40034375
transcript.pyannote[4174].speaker SPEAKER_31
transcript.pyannote[4174].start 18858.06284375
transcript.pyannote[4174].end 18861.67409375
transcript.pyannote[4175].speaker SPEAKER_17
transcript.pyannote[4175].start 18861.25221875
transcript.pyannote[4175].end 18861.26909375
transcript.pyannote[4176].speaker SPEAKER_26
transcript.pyannote[4176].start 18861.26909375
transcript.pyannote[4176].end 18864.07034375
transcript.pyannote[4177].speaker SPEAKER_17
transcript.pyannote[4177].start 18861.67409375
transcript.pyannote[4177].end 18865.97721875
transcript.pyannote[4178].speaker SPEAKER_26
transcript.pyannote[4178].start 18865.35284375
transcript.pyannote[4178].end 18867.12471875
transcript.pyannote[4179].speaker SPEAKER_17
transcript.pyannote[4179].start 18866.41596875
transcript.pyannote[4179].end 18869.65596875
transcript.pyannote[4180].speaker SPEAKER_26
transcript.pyannote[4180].start 18869.52096875
transcript.pyannote[4180].end 18874.41471875
transcript.pyannote[4181].speaker SPEAKER_34
transcript.pyannote[4181].start 18874.41471875
transcript.pyannote[4181].end 18874.51596875
transcript.pyannote[4182].speaker SPEAKER_26
transcript.pyannote[4182].start 18874.51596875
transcript.pyannote[4182].end 18874.58346875
transcript.pyannote[4183].speaker SPEAKER_34
transcript.pyannote[4183].start 18874.58346875
transcript.pyannote[4183].end 18874.66784375
transcript.pyannote[4184].speaker SPEAKER_26
transcript.pyannote[4184].start 18874.66784375
transcript.pyannote[4184].end 18874.98846875
transcript.pyannote[4185].speaker SPEAKER_34
transcript.pyannote[4185].start 18874.98846875
transcript.pyannote[4185].end 18875.02221875
transcript.pyannote[4186].speaker SPEAKER_26
transcript.pyannote[4186].start 18875.02221875
transcript.pyannote[4186].end 18875.07284375
transcript.pyannote[4187].speaker SPEAKER_34
transcript.pyannote[4187].start 18875.07284375
transcript.pyannote[4187].end 18875.08971875
transcript.pyannote[4188].speaker SPEAKER_26
transcript.pyannote[4188].start 18875.08971875
transcript.pyannote[4188].end 18875.10659375
transcript.pyannote[4189].speaker SPEAKER_26
transcript.pyannote[4189].start 18875.19096875
transcript.pyannote[4189].end 18877.03034375
transcript.pyannote[4190].speaker SPEAKER_12
transcript.pyannote[4190].start 18877.03034375
transcript.pyannote[4190].end 18879.47721875
transcript.pyannote[4191].speaker SPEAKER_26
transcript.pyannote[4191].start 18877.11471875
transcript.pyannote[4191].end 18877.23284375
transcript.pyannote[4192].speaker SPEAKER_26
transcript.pyannote[4192].start 18877.51971875
transcript.pyannote[4192].end 18877.97534375
transcript.pyannote[4193].speaker SPEAKER_34
transcript.pyannote[4193].start 18877.97534375
transcript.pyannote[4193].end 18878.09346875
transcript.pyannote[4194].speaker SPEAKER_26
transcript.pyannote[4194].start 18878.09346875
transcript.pyannote[4194].end 18878.24534375
transcript.pyannote[4195].speaker SPEAKER_34
transcript.pyannote[4195].start 18878.24534375
transcript.pyannote[4195].end 18878.51534375
transcript.pyannote[4196].speaker SPEAKER_26
transcript.pyannote[4196].start 18878.51534375
transcript.pyannote[4196].end 18878.68409375
transcript.pyannote[4197].speaker SPEAKER_26
transcript.pyannote[4197].start 18879.47721875
transcript.pyannote[4197].end 18879.89909375
transcript.pyannote[4198].speaker SPEAKER_12
transcript.pyannote[4198].start 18879.89909375
transcript.pyannote[4198].end 18885.95721875
transcript.pyannote[4199].speaker SPEAKER_26
transcript.pyannote[4199].start 18883.69596875
transcript.pyannote[4199].end 18884.57346875
transcript.pyannote[4200].speaker SPEAKER_26
transcript.pyannote[4200].start 18885.40034375
transcript.pyannote[4200].end 18885.88971875
transcript.pyannote[4201].speaker SPEAKER_26
transcript.pyannote[4201].start 18890.04096875
transcript.pyannote[4201].end 18895.84596875
transcript.pyannote[4202].speaker SPEAKER_26
transcript.pyannote[4202].start 18896.11596875
transcript.pyannote[4202].end 18901.02659375
transcript.pyannote[4203].speaker SPEAKER_25
transcript.pyannote[4203].start 18901.02659375
transcript.pyannote[4203].end 18919.97721875
transcript.pyannote[4204].speaker SPEAKER_26
transcript.pyannote[4204].start 18919.97721875
transcript.pyannote[4204].end 18927.21659375
transcript.pyannote[4205].speaker SPEAKER_25
transcript.pyannote[4205].start 18927.21659375
transcript.pyannote[4205].end 18927.23346875
transcript.pyannote[4206].speaker SPEAKER_26
transcript.pyannote[4206].start 18928.09409375
transcript.pyannote[4206].end 18928.11096875
transcript.pyannote[4207].speaker SPEAKER_25
transcript.pyannote[4207].start 18928.11096875
transcript.pyannote[4207].end 18938.45534375
transcript.pyannote[4208].speaker SPEAKER_26
transcript.pyannote[4208].start 18934.59096875
transcript.pyannote[4208].end 18936.34596875
transcript.pyannote[4209].speaker SPEAKER_25
transcript.pyannote[4209].start 18938.99534375
transcript.pyannote[4209].end 18947.43284375
transcript.pyannote[4210].speaker SPEAKER_26
transcript.pyannote[4210].start 18944.71596875
transcript.pyannote[4210].end 18945.25596875
transcript.pyannote[4211].speaker SPEAKER_26
transcript.pyannote[4211].start 18945.50909375
transcript.pyannote[4211].end 18945.67784375
transcript.pyannote[4212].speaker SPEAKER_13
transcript.pyannote[4212].start 18945.67784375
transcript.pyannote[4212].end 18945.91409375
transcript.pyannote[4213].speaker SPEAKER_26
transcript.pyannote[4213].start 18945.91409375
transcript.pyannote[4213].end 18945.96471875
transcript.pyannote[4214].speaker SPEAKER_13
transcript.pyannote[4214].start 18945.96471875
transcript.pyannote[4214].end 18946.03221875
transcript.pyannote[4215].speaker SPEAKER_26
transcript.pyannote[4215].start 18946.03221875
transcript.pyannote[4215].end 18946.21784375
transcript.pyannote[4216].speaker SPEAKER_13
transcript.pyannote[4216].start 18946.21784375
transcript.pyannote[4216].end 18948.61409375
transcript.pyannote[4217].speaker SPEAKER_25
transcript.pyannote[4217].start 18948.32721875
transcript.pyannote[4217].end 18949.15409375
transcript.pyannote[4218].speaker SPEAKER_26
transcript.pyannote[4218].start 18948.61409375
transcript.pyannote[4218].end 18948.96846875
transcript.pyannote[4219].speaker SPEAKER_13
transcript.pyannote[4219].start 18948.96846875
transcript.pyannote[4219].end 18949.03596875
transcript.pyannote[4220].speaker SPEAKER_26
transcript.pyannote[4220].start 18949.03596875
transcript.pyannote[4220].end 18951.63471875
transcript.pyannote[4221].speaker SPEAKER_13
transcript.pyannote[4221].start 18949.15409375
transcript.pyannote[4221].end 18951.68534375
transcript.pyannote[4222].speaker SPEAKER_26
transcript.pyannote[4222].start 18951.68534375
transcript.pyannote[4222].end 18976.42409375
transcript.pyannote[4223].speaker SPEAKER_13
transcript.pyannote[4223].start 18951.92159375
transcript.pyannote[4223].end 18952.30971875
transcript.pyannote[4224].speaker SPEAKER_13
transcript.pyannote[4224].start 18953.15346875
transcript.pyannote[4224].end 18953.52471875
transcript.pyannote[4225].speaker SPEAKER_04
transcript.pyannote[4225].start 18958.04721875
transcript.pyannote[4225].end 18958.30034375
transcript.pyannote[4226].speaker SPEAKER_00
transcript.pyannote[4226].start 18958.30034375
transcript.pyannote[4226].end 18958.31721875
transcript.pyannote[4227].speaker SPEAKER_25
transcript.pyannote[4227].start 18967.66596875
transcript.pyannote[4227].end 18968.74596875
transcript.pyannote[4228].speaker SPEAKER_26
transcript.pyannote[4228].start 18977.87534375
transcript.pyannote[4228].end 18979.44471875
transcript.pyannote[4229].speaker SPEAKER_21
transcript.pyannote[4229].start 18977.90909375
transcript.pyannote[4229].end 18983.19096875
transcript.pyannote[4230].speaker SPEAKER_21
transcript.pyannote[4230].start 18983.44409375
transcript.pyannote[4230].end 18985.24971875
transcript.pyannote[4231].speaker SPEAKER_26
transcript.pyannote[4231].start 18985.24971875
transcript.pyannote[4231].end 18986.88659375
transcript.pyannote[4232].speaker SPEAKER_21
transcript.pyannote[4232].start 18988.50659375
transcript.pyannote[4232].end 18988.67534375
transcript.pyannote[4233].speaker SPEAKER_35
transcript.pyannote[4233].start 18988.67534375
transcript.pyannote[4233].end 18988.69221875
transcript.pyannote[4234].speaker SPEAKER_21
transcript.pyannote[4234].start 18988.69221875
transcript.pyannote[4234].end 18988.74284375
transcript.pyannote[4235].speaker SPEAKER_35
transcript.pyannote[4235].start 18988.74284375
transcript.pyannote[4235].end 18990.24471875
transcript.pyannote[4236].speaker SPEAKER_35
transcript.pyannote[4236].start 18990.43034375
transcript.pyannote[4236].end 19004.47034375
transcript.pyannote[4237].speaker SPEAKER_21
transcript.pyannote[4237].start 18990.70034375
transcript.pyannote[4237].end 18990.71721875
transcript.pyannote[4238].speaker SPEAKER_26
transcript.pyannote[4238].start 18990.71721875
transcript.pyannote[4238].end 18991.52721875
transcript.pyannote[4239].speaker SPEAKER_26
transcript.pyannote[4239].start 19004.53784375
transcript.pyannote[4239].end 19009.87034375
transcript.pyannote[4240].speaker SPEAKER_26
transcript.pyannote[4240].start 19010.25846875
transcript.pyannote[4240].end 19016.75534375
transcript.pyannote[4241].speaker SPEAKER_26
transcript.pyannote[4241].start 19017.64971875
transcript.pyannote[4241].end 19022.29034375
transcript.pyannote[4242].speaker SPEAKER_18
transcript.pyannote[4242].start 19022.07096875
transcript.pyannote[4242].end 19024.16346875
transcript.pyannote[4243].speaker SPEAKER_26
transcript.pyannote[4243].start 19024.53471875
transcript.pyannote[4243].end 19026.99846875
transcript.pyannote[4244].speaker SPEAKER_26
transcript.pyannote[4244].start 19027.90971875
transcript.pyannote[4244].end 19029.88409375
transcript.pyannote[4245].speaker SPEAKER_26
transcript.pyannote[4245].start 19030.22159375
transcript.pyannote[4245].end 19031.33534375
transcript.pyannote[4246].speaker SPEAKER_26
transcript.pyannote[4246].start 19032.80346875
transcript.pyannote[4246].end 19033.19159375
transcript.pyannote[4247].speaker SPEAKER_26
transcript.pyannote[4247].start 19033.64721875
transcript.pyannote[4247].end 19034.57534375
transcript.pyannote[4248].speaker SPEAKER_26
transcript.pyannote[4248].start 19035.08159375
transcript.pyannote[4248].end 19036.07721875
transcript.pyannote[4249].speaker SPEAKER_26
transcript.pyannote[4249].start 19037.71409375
transcript.pyannote[4249].end 19040.36346875
transcript.pyannote[4250].speaker SPEAKER_34
transcript.pyannote[4250].start 19040.61659375
transcript.pyannote[4250].end 19040.73471875
transcript.pyannote[4251].speaker SPEAKER_34
transcript.pyannote[4251].start 19040.75159375
transcript.pyannote[4251].end 19041.88221875
transcript.pyannote[4252].speaker SPEAKER_18
transcript.pyannote[4252].start 19041.88221875
transcript.pyannote[4252].end 19041.91596875
transcript.pyannote[4253].speaker SPEAKER_18
transcript.pyannote[4253].start 19041.96659375
transcript.pyannote[4253].end 19044.49784375
transcript.pyannote[4254].speaker SPEAKER_18
transcript.pyannote[4254].start 19044.54846875
transcript.pyannote[4254].end 19046.15159375
transcript.pyannote[4255].speaker SPEAKER_18
transcript.pyannote[4255].start 19046.18534375
transcript.pyannote[4255].end 19046.26971875
transcript.pyannote[4256].speaker SPEAKER_25
transcript.pyannote[4256].start 19046.26971875
transcript.pyannote[4256].end 19057.40721875
transcript.pyannote[4257].speaker SPEAKER_18
transcript.pyannote[4257].start 19047.73784375
transcript.pyannote[4257].end 19051.23096875
transcript.pyannote[4258].speaker SPEAKER_25
transcript.pyannote[4258].start 19057.60971875
transcript.pyannote[4258].end 19057.74471875
transcript.pyannote[4259].speaker SPEAKER_26
transcript.pyannote[4259].start 19057.67721875
transcript.pyannote[4259].end 19063.68471875
transcript.pyannote[4260].speaker SPEAKER_26
transcript.pyannote[4260].start 19064.47784375
transcript.pyannote[4260].end 19070.09721875
transcript.pyannote[4261].speaker SPEAKER_26
transcript.pyannote[4261].start 19071.27846875
transcript.pyannote[4261].end 19071.61596875
transcript.pyannote[4262].speaker SPEAKER_26
transcript.pyannote[4262].start 19071.95346875
transcript.pyannote[4262].end 19072.51034375
transcript.pyannote[4263].speaker SPEAKER_26
transcript.pyannote[4263].start 19074.41721875
transcript.pyannote[4263].end 19076.84721875
transcript.pyannote[4264].speaker SPEAKER_26
transcript.pyannote[4264].start 19078.29846875
transcript.pyannote[4264].end 19083.63096875
transcript.pyannote[4265].speaker SPEAKER_26
transcript.pyannote[4265].start 19083.86721875
transcript.pyannote[4265].end 19085.90909375
transcript.pyannote[4266].speaker SPEAKER_26
transcript.pyannote[4266].start 19086.48284375
transcript.pyannote[4266].end 19087.17471875
transcript.pyannote[4267].speaker SPEAKER_25
transcript.pyannote[4267].start 19087.17471875
transcript.pyannote[4267].end 19087.22534375
transcript.pyannote[4268].speaker SPEAKER_26
transcript.pyannote[4268].start 19087.22534375
transcript.pyannote[4268].end 19087.46159375
transcript.pyannote[4269].speaker SPEAKER_25
transcript.pyannote[4269].start 19087.46159375
transcript.pyannote[4269].end 19087.51221875
transcript.pyannote[4270].speaker SPEAKER_26
transcript.pyannote[4270].start 19087.51221875
transcript.pyannote[4270].end 19087.61346875
transcript.pyannote[4271].speaker SPEAKER_25
transcript.pyannote[4271].start 19087.61346875
transcript.pyannote[4271].end 19094.97096875
transcript.pyannote[4272].speaker SPEAKER_26
transcript.pyannote[4272].start 19094.97096875
transcript.pyannote[4272].end 19110.17534375
transcript.pyannote[4273].speaker SPEAKER_13
transcript.pyannote[4273].start 19109.38221875
transcript.pyannote[4273].end 19109.61846875
transcript.pyannote[4274].speaker SPEAKER_13
transcript.pyannote[4274].start 19110.17534375
transcript.pyannote[4274].end 19112.31846875
transcript.pyannote[4275].speaker SPEAKER_13
transcript.pyannote[4275].start 19112.92596875
transcript.pyannote[4275].end 19121.02596875
transcript.pyannote[4276].speaker SPEAKER_13
transcript.pyannote[4276].start 19121.46471875
transcript.pyannote[4276].end 19124.56971875
transcript.pyannote[4277].speaker SPEAKER_13
transcript.pyannote[4277].start 19125.02534375
transcript.pyannote[4277].end 19127.32034375
transcript.pyannote[4278].speaker SPEAKER_13
transcript.pyannote[4278].start 19127.74221875
transcript.pyannote[4278].end 19175.02596875
transcript.pyannote[4279].speaker SPEAKER_13
transcript.pyannote[4279].start 19175.05971875
transcript.pyannote[4279].end 19187.32784375
transcript.pyannote[4280].speaker SPEAKER_13
transcript.pyannote[4280].start 19187.42909375
transcript.pyannote[4280].end 19187.44596875
transcript.pyannote[4281].speaker SPEAKER_31
transcript.pyannote[4281].start 19187.44596875
transcript.pyannote[4281].end 19189.80846875
transcript.pyannote[4282].speaker SPEAKER_13
transcript.pyannote[4282].start 19187.71596875
transcript.pyannote[4282].end 19190.68596875
transcript.pyannote[4283].speaker SPEAKER_04
transcript.pyannote[4283].start 19189.80846875
transcript.pyannote[4283].end 19190.82096875
transcript.pyannote[4284].speaker SPEAKER_04
transcript.pyannote[4284].start 19191.20909375
transcript.pyannote[4284].end 19192.86284375
transcript.pyannote[4285].speaker SPEAKER_13
transcript.pyannote[4285].start 19191.31034375
transcript.pyannote[4285].end 19191.63096875
transcript.pyannote[4286].speaker SPEAKER_04
transcript.pyannote[4286].start 19193.28471875
transcript.pyannote[4286].end 19203.10596875
transcript.pyannote[4287].speaker SPEAKER_04
transcript.pyannote[4287].start 19203.54471875
transcript.pyannote[4287].end 19205.97471875
transcript.pyannote[4288].speaker SPEAKER_18
transcript.pyannote[4288].start 19206.34596875
transcript.pyannote[4288].end 19206.36284375
transcript.pyannote[4289].speaker SPEAKER_25
transcript.pyannote[4289].start 19206.36284375
transcript.pyannote[4289].end 19206.44721875
transcript.pyannote[4290].speaker SPEAKER_18
transcript.pyannote[4290].start 19206.44721875
transcript.pyannote[4290].end 19206.48096875
transcript.pyannote[4291].speaker SPEAKER_18
transcript.pyannote[4291].start 19206.53159375
transcript.pyannote[4291].end 19206.58221875
transcript.pyannote[4292].speaker SPEAKER_04
transcript.pyannote[4292].start 19206.58221875
transcript.pyannote[4292].end 19208.37096875
transcript.pyannote[4293].speaker SPEAKER_25
transcript.pyannote[4293].start 19206.61596875
transcript.pyannote[4293].end 19206.66659375
transcript.pyannote[4294].speaker SPEAKER_18
transcript.pyannote[4294].start 19206.66659375
transcript.pyannote[4294].end 19206.68346875
transcript.pyannote[4295].speaker SPEAKER_25
transcript.pyannote[4295].start 19206.68346875
transcript.pyannote[4295].end 19207.44284375
transcript.pyannote[4296].speaker SPEAKER_25
transcript.pyannote[4296].start 19207.72971875
transcript.pyannote[4296].end 19211.23971875
transcript.pyannote[4297].speaker SPEAKER_18
transcript.pyannote[4297].start 19208.37096875
transcript.pyannote[4297].end 19208.42159375
transcript.pyannote[4298].speaker SPEAKER_18
transcript.pyannote[4298].start 19208.82659375
transcript.pyannote[4298].end 19208.87721875
transcript.pyannote[4299].speaker SPEAKER_04
transcript.pyannote[4299].start 19208.87721875
transcript.pyannote[4299].end 19211.17221875
transcript.pyannote[4300].speaker SPEAKER_18
transcript.pyannote[4300].start 19211.17221875
transcript.pyannote[4300].end 19211.47596875
transcript.pyannote[4301].speaker SPEAKER_25
transcript.pyannote[4301].start 19211.47596875
transcript.pyannote[4301].end 19239.18471875
transcript.pyannote[4302].speaker SPEAKER_18
transcript.pyannote[4302].start 19211.50971875
transcript.pyannote[4302].end 19211.57721875
transcript.pyannote[4303].speaker SPEAKER_04
transcript.pyannote[4303].start 19211.57721875
transcript.pyannote[4303].end 19214.14221875
transcript.pyannote[4304].speaker SPEAKER_04
transcript.pyannote[4304].start 19214.53034375
transcript.pyannote[4304].end 19215.77909375
transcript.pyannote[4305].speaker SPEAKER_04
transcript.pyannote[4305].start 19237.29471875
transcript.pyannote[4305].end 19252.49909375
transcript.pyannote[4306].speaker SPEAKER_25
transcript.pyannote[4306].start 19240.92284375
transcript.pyannote[4306].end 19242.03659375
transcript.pyannote[4307].speaker SPEAKER_26
transcript.pyannote[4307].start 19246.25534375
transcript.pyannote[4307].end 19247.72346875
transcript.pyannote[4308].speaker SPEAKER_26
transcript.pyannote[4308].start 19250.64284375
transcript.pyannote[4308].end 19254.47346875
transcript.pyannote[4309].speaker SPEAKER_04
transcript.pyannote[4309].start 19253.57909375
transcript.pyannote[4309].end 19253.68034375
transcript.pyannote[4310].speaker SPEAKER_04
transcript.pyannote[4310].start 19254.47346875
transcript.pyannote[4310].end 19254.59159375
transcript.pyannote[4311].speaker SPEAKER_04
transcript.pyannote[4311].start 19254.70971875
transcript.pyannote[4311].end 19254.72659375
transcript.pyannote[4312].speaker SPEAKER_26
transcript.pyannote[4312].start 19254.72659375
transcript.pyannote[4312].end 19255.89096875
transcript.pyannote[4313].speaker SPEAKER_04
transcript.pyannote[4313].start 19254.76034375
transcript.pyannote[4313].end 19257.37596875
transcript.pyannote[4314].speaker SPEAKER_26
transcript.pyannote[4314].start 19256.75159375
transcript.pyannote[4314].end 19257.47721875
transcript.pyannote[4315].speaker SPEAKER_04
transcript.pyannote[4315].start 19257.47721875
transcript.pyannote[4315].end 19261.79721875
transcript.pyannote[4316].speaker SPEAKER_26
transcript.pyannote[4316].start 19261.10534375
transcript.pyannote[4316].end 19261.49346875
transcript.pyannote[4317].speaker SPEAKER_04
transcript.pyannote[4317].start 19261.96596875
transcript.pyannote[4317].end 19264.56471875
transcript.pyannote[4318].speaker SPEAKER_13
transcript.pyannote[4318].start 19262.20221875
transcript.pyannote[4318].end 19262.91096875
transcript.pyannote[4319].speaker SPEAKER_26
transcript.pyannote[4319].start 19262.91096875
transcript.pyannote[4319].end 19263.02909375
transcript.pyannote[4320].speaker SPEAKER_26
transcript.pyannote[4320].start 19264.56471875
transcript.pyannote[4320].end 19264.85159375
transcript.pyannote[4321].speaker SPEAKER_04
transcript.pyannote[4321].start 19264.85159375
transcript.pyannote[4321].end 19264.96971875
transcript.pyannote[4322].speaker SPEAKER_26
transcript.pyannote[4322].start 19264.96971875
transcript.pyannote[4322].end 19265.25659375
transcript.pyannote[4323].speaker SPEAKER_26
transcript.pyannote[4323].start 19265.50971875
transcript.pyannote[4323].end 19267.04534375
transcript.pyannote[4324].speaker SPEAKER_13
transcript.pyannote[4324].start 19267.78784375
transcript.pyannote[4324].end 19275.22971875
transcript.pyannote[4325].speaker SPEAKER_26
transcript.pyannote[4325].start 19270.85909375
transcript.pyannote[4325].end 19277.44034375
transcript.pyannote[4326].speaker SPEAKER_04
transcript.pyannote[4326].start 19275.22971875
transcript.pyannote[4326].end 19275.28034375
transcript.pyannote[4327].speaker SPEAKER_04
transcript.pyannote[4327].start 19276.37721875
transcript.pyannote[4327].end 19277.37284375
transcript.pyannote[4328].speaker SPEAKER_04
transcript.pyannote[4328].start 19277.44034375
transcript.pyannote[4328].end 19278.03096875
transcript.pyannote[4329].speaker SPEAKER_26
transcript.pyannote[4329].start 19278.03096875
transcript.pyannote[4329].end 19282.08096875
transcript.pyannote[4330].speaker SPEAKER_04
transcript.pyannote[4330].start 19279.61721875
transcript.pyannote[4330].end 19280.03909375
transcript.pyannote[4331].speaker SPEAKER_19
transcript.pyannote[4331].start 19280.03909375
transcript.pyannote[4331].end 19280.32596875
transcript.pyannote[4332].speaker SPEAKER_04
transcript.pyannote[4332].start 19280.59596875
transcript.pyannote[4332].end 19280.66346875
transcript.pyannote[4333].speaker SPEAKER_19
transcript.pyannote[4333].start 19280.66346875
transcript.pyannote[4333].end 19280.68034375
transcript.pyannote[4334].speaker SPEAKER_04
transcript.pyannote[4334].start 19280.68034375
transcript.pyannote[4334].end 19280.78159375
transcript.pyannote[4335].speaker SPEAKER_19
transcript.pyannote[4335].start 19282.08096875
transcript.pyannote[4335].end 19283.14409375
transcript.pyannote[4336].speaker SPEAKER_26
transcript.pyannote[4336].start 19283.14409375
transcript.pyannote[4336].end 19285.72596875
transcript.pyannote[4337].speaker SPEAKER_19
transcript.pyannote[4337].start 19283.29596875
transcript.pyannote[4337].end 19294.61909375
transcript.pyannote[4338].speaker SPEAKER_26
transcript.pyannote[4338].start 19288.81409375
transcript.pyannote[4338].end 19288.99971875
transcript.pyannote[4339].speaker SPEAKER_31
transcript.pyannote[4339].start 19288.99971875
transcript.pyannote[4339].end 19289.28659375
transcript.pyannote[4340].speaker SPEAKER_26
transcript.pyannote[4340].start 19289.28659375
transcript.pyannote[4340].end 19289.53971875
transcript.pyannote[4341].speaker SPEAKER_31
transcript.pyannote[4341].start 19291.96971875
transcript.pyannote[4341].end 19292.23971875
transcript.pyannote[4342].speaker SPEAKER_32
transcript.pyannote[4342].start 19292.23971875
transcript.pyannote[4342].end 19292.37471875
transcript.pyannote[4343].speaker SPEAKER_31
transcript.pyannote[4343].start 19296.23909375
transcript.pyannote[4343].end 19296.40784375
transcript.pyannote[4344].speaker SPEAKER_31
transcript.pyannote[4344].start 19296.50909375
transcript.pyannote[4344].end 19296.67784375
transcript.pyannote[4345].speaker SPEAKER_31
transcript.pyannote[4345].start 19296.72846875
transcript.pyannote[4345].end 19296.76221875
transcript.pyannote[4346].speaker SPEAKER_19
transcript.pyannote[4346].start 19297.72409375
transcript.pyannote[4346].end 19298.02784375
transcript.pyannote[4347].speaker SPEAKER_26
transcript.pyannote[4347].start 19298.02784375
transcript.pyannote[4347].end 19298.53409375
transcript.pyannote[4348].speaker SPEAKER_19
transcript.pyannote[4348].start 19298.53409375
transcript.pyannote[4348].end 19298.55096875
transcript.pyannote[4349].speaker SPEAKER_10
transcript.pyannote[4349].start 19298.97284375
transcript.pyannote[4349].end 19300.64346875
transcript.pyannote[4350].speaker SPEAKER_26
transcript.pyannote[4350].start 19300.98096875
transcript.pyannote[4350].end 19302.02721875
transcript.pyannote[4351].speaker SPEAKER_26
transcript.pyannote[4351].start 19302.16221875
transcript.pyannote[4351].end 19302.60096875
transcript.pyannote[4352].speaker SPEAKER_26
transcript.pyannote[4352].start 19304.05221875
transcript.pyannote[4352].end 19304.99721875
transcript.pyannote[4353].speaker SPEAKER_13
transcript.pyannote[4353].start 19304.35596875
transcript.pyannote[4353].end 19304.74409375
transcript.pyannote[4354].speaker SPEAKER_10
transcript.pyannote[4354].start 19304.74409375
transcript.pyannote[4354].end 19304.76096875
transcript.pyannote[4355].speaker SPEAKER_26
transcript.pyannote[4355].start 19305.16596875
transcript.pyannote[4355].end 19321.92284375
transcript.pyannote[4356].speaker SPEAKER_00
transcript.pyannote[4356].start 19305.79034375
transcript.pyannote[4356].end 19305.80721875
transcript.pyannote[4357].speaker SPEAKER_10
transcript.pyannote[4357].start 19305.80721875
transcript.pyannote[4357].end 19307.71409375
transcript.pyannote[4358].speaker SPEAKER_00
transcript.pyannote[4358].start 19307.71409375
transcript.pyannote[4358].end 19307.73096875
transcript.pyannote[4359].speaker SPEAKER_26
transcript.pyannote[4359].start 19322.83409375
transcript.pyannote[4359].end 19328.30159375
transcript.pyannote[4360].speaker SPEAKER_31
transcript.pyannote[4360].start 19328.30159375
transcript.pyannote[4360].end 19328.97659375
transcript.pyannote[4361].speaker SPEAKER_26
transcript.pyannote[4361].start 19328.97659375
transcript.pyannote[4361].end 19332.33471875
transcript.pyannote[4362].speaker SPEAKER_31
transcript.pyannote[4362].start 19328.99346875
transcript.pyannote[4362].end 19331.96346875
transcript.pyannote[4363].speaker SPEAKER_03
transcript.pyannote[4363].start 19331.96346875
transcript.pyannote[4363].end 19332.30096875
transcript.pyannote[4364].speaker SPEAKER_17
transcript.pyannote[4364].start 19333.21221875
transcript.pyannote[4364].end 19335.00096875
transcript.pyannote[4365].speaker SPEAKER_26
transcript.pyannote[4365].start 19334.84909375
transcript.pyannote[4365].end 19334.86596875
transcript.pyannote[4366].speaker SPEAKER_03
transcript.pyannote[4366].start 19334.86596875
transcript.pyannote[4366].end 19334.91659375
transcript.pyannote[4367].speaker SPEAKER_26
transcript.pyannote[4367].start 19334.91659375
transcript.pyannote[4367].end 19335.77721875
transcript.pyannote[4368].speaker SPEAKER_03
transcript.pyannote[4368].start 19335.00096875
transcript.pyannote[4368].end 19335.79409375
transcript.pyannote[4369].speaker SPEAKER_26
transcript.pyannote[4369].start 19335.79409375
transcript.pyannote[4369].end 19336.21596875
transcript.pyannote[4370].speaker SPEAKER_03
transcript.pyannote[4370].start 19336.21596875
transcript.pyannote[4370].end 19342.96596875
transcript.pyannote[4371].speaker SPEAKER_03
transcript.pyannote[4371].start 19343.08409375
transcript.pyannote[4371].end 19343.10096875
transcript.pyannote[4372].speaker SPEAKER_26
transcript.pyannote[4372].start 19343.10096875
transcript.pyannote[4372].end 19347.87659375
transcript.pyannote[4373].speaker SPEAKER_03
transcript.pyannote[4373].start 19344.73784375
transcript.pyannote[4373].end 19345.10909375
transcript.pyannote[4374].speaker SPEAKER_26
transcript.pyannote[4374].start 19348.18034375
transcript.pyannote[4374].end 19351.62284375
transcript.pyannote[4375].speaker SPEAKER_04
transcript.pyannote[4375].start 19352.75346875
transcript.pyannote[4375].end 19354.81221875
transcript.pyannote[4376].speaker SPEAKER_04
transcript.pyannote[4376].start 19355.35221875
transcript.pyannote[4376].end 19355.94284375
transcript.pyannote[4377].speaker SPEAKER_04
transcript.pyannote[4377].start 19356.22971875
transcript.pyannote[4377].end 19365.34221875
transcript.pyannote[4378].speaker SPEAKER_04
transcript.pyannote[4378].start 19365.47721875
transcript.pyannote[4378].end 19367.67096875
transcript.pyannote[4379].speaker SPEAKER_04
transcript.pyannote[4379].start 19368.61596875
transcript.pyannote[4379].end 19370.37096875
transcript.pyannote[4380].speaker SPEAKER_04
transcript.pyannote[4380].start 19370.60721875
transcript.pyannote[4380].end 19373.34096875
transcript.pyannote[4381].speaker SPEAKER_03
transcript.pyannote[4381].start 19373.93159375
transcript.pyannote[4381].end 19380.49596875
transcript.pyannote[4382].speaker SPEAKER_03
transcript.pyannote[4382].start 19381.13721875
transcript.pyannote[4382].end 19398.78846875
transcript.pyannote[4383].speaker SPEAKER_31
transcript.pyannote[4383].start 19388.12346875
transcript.pyannote[4383].end 19389.54096875
transcript.pyannote[4384].speaker SPEAKER_26
transcript.pyannote[4384].start 19399.12596875
transcript.pyannote[4384].end 19404.76221875
transcript.pyannote[4385].speaker SPEAKER_26
transcript.pyannote[4385].start 19405.03221875
transcript.pyannote[4385].end 19405.09971875
transcript.pyannote[4386].speaker SPEAKER_03
transcript.pyannote[4386].start 19405.09971875
transcript.pyannote[4386].end 19406.39909375
transcript.pyannote[4387].speaker SPEAKER_26
transcript.pyannote[4387].start 19406.55096875
transcript.pyannote[4387].end 19409.18346875
transcript.pyannote[4388].speaker SPEAKER_03
transcript.pyannote[4388].start 19409.18346875
transcript.pyannote[4388].end 19409.36909375
transcript.pyannote[4389].speaker SPEAKER_26
transcript.pyannote[4389].start 19409.36909375
transcript.pyannote[4389].end 19411.46159375
transcript.pyannote[4390].speaker SPEAKER_28
transcript.pyannote[4390].start 19411.46159375
transcript.pyannote[4390].end 19411.49534375
transcript.pyannote[4391].speaker SPEAKER_31
transcript.pyannote[4391].start 19411.49534375
transcript.pyannote[4391].end 19412.86221875
transcript.pyannote[4392].speaker SPEAKER_28
transcript.pyannote[4392].start 19412.91284375
transcript.pyannote[4392].end 19412.92971875
transcript.pyannote[4393].speaker SPEAKER_26
transcript.pyannote[4393].start 19412.92971875
transcript.pyannote[4393].end 19416.06846875
transcript.pyannote[4394].speaker SPEAKER_28
transcript.pyannote[4394].start 19417.68846875
transcript.pyannote[4394].end 19418.90346875
transcript.pyannote[4395].speaker SPEAKER_26
transcript.pyannote[4395].start 19418.63346875
transcript.pyannote[4395].end 19426.02471875
transcript.pyannote[4396].speaker SPEAKER_28
transcript.pyannote[4396].start 19420.77659375
transcript.pyannote[4396].end 19421.50221875
transcript.pyannote[4397].speaker SPEAKER_25
transcript.pyannote[4397].start 19424.79284375
transcript.pyannote[4397].end 19425.77159375
transcript.pyannote[4398].speaker SPEAKER_25
transcript.pyannote[4398].start 19426.02471875
transcript.pyannote[4398].end 19431.96471875
transcript.pyannote[4399].speaker SPEAKER_26
transcript.pyannote[4399].start 19426.98659375
transcript.pyannote[4399].end 19427.88096875
transcript.pyannote[4400].speaker SPEAKER_26
transcript.pyannote[4400].start 19428.89346875
transcript.pyannote[4400].end 19429.26471875
transcript.pyannote[4401].speaker SPEAKER_26
transcript.pyannote[4401].start 19429.28159375
transcript.pyannote[4401].end 19429.34909375
transcript.pyannote[4402].speaker SPEAKER_18
transcript.pyannote[4402].start 19429.34909375
transcript.pyannote[4402].end 19430.36159375
transcript.pyannote[4403].speaker SPEAKER_26
transcript.pyannote[4403].start 19430.36159375
transcript.pyannote[4403].end 19430.96909375
transcript.pyannote[4404].speaker SPEAKER_18
transcript.pyannote[4404].start 19430.96909375
transcript.pyannote[4404].end 19431.03659375
transcript.pyannote[4405].speaker SPEAKER_26
transcript.pyannote[4405].start 19431.03659375
transcript.pyannote[4405].end 19431.28971875
transcript.pyannote[4406].speaker SPEAKER_26
transcript.pyannote[4406].start 19431.96471875
transcript.pyannote[4406].end 19441.58346875
transcript.pyannote[4407].speaker SPEAKER_26
transcript.pyannote[4407].start 19442.41034375
transcript.pyannote[4407].end 19454.37471875
transcript.pyannote[4408].speaker SPEAKER_33
transcript.pyannote[4408].start 19449.78471875
transcript.pyannote[4408].end 19450.25721875
transcript.pyannote[4409].speaker SPEAKER_26
transcript.pyannote[4409].start 19455.03284375
transcript.pyannote[4409].end 19455.45471875
transcript.pyannote[4410].speaker SPEAKER_26
transcript.pyannote[4410].start 19457.31096875
transcript.pyannote[4410].end 19457.32784375
transcript.pyannote[4411].speaker SPEAKER_25
transcript.pyannote[4411].start 19457.32784375
transcript.pyannote[4411].end 19457.44596875
transcript.pyannote[4412].speaker SPEAKER_26
transcript.pyannote[4412].start 19457.44596875
transcript.pyannote[4412].end 19458.03659375
transcript.pyannote[4413].speaker SPEAKER_25
transcript.pyannote[4413].start 19458.03659375
transcript.pyannote[4413].end 19459.15034375
transcript.pyannote[4414].speaker SPEAKER_25
transcript.pyannote[4414].start 19459.60596875
transcript.pyannote[4414].end 19463.04846875
transcript.pyannote[4415].speaker SPEAKER_26
transcript.pyannote[4415].start 19459.69034375
transcript.pyannote[4415].end 19460.24721875
transcript.pyannote[4416].speaker SPEAKER_25
transcript.pyannote[4416].start 19464.14534375
transcript.pyannote[4416].end 19464.16221875
transcript.pyannote[4417].speaker SPEAKER_26
transcript.pyannote[4417].start 19464.16221875
transcript.pyannote[4417].end 19473.47721875
transcript.pyannote[4418].speaker SPEAKER_26
transcript.pyannote[4418].start 19474.01721875
transcript.pyannote[4418].end 19474.38846875
transcript.pyannote[4419].speaker SPEAKER_31
transcript.pyannote[4419].start 19474.38846875
transcript.pyannote[4419].end 19475.82284375
transcript.pyannote[4420].speaker SPEAKER_26
transcript.pyannote[4420].start 19474.81034375
transcript.pyannote[4420].end 19477.72971875
transcript.pyannote[4421].speaker SPEAKER_03
transcript.pyannote[4421].start 19477.93221875
transcript.pyannote[4421].end 19480.98659375
transcript.pyannote[4422].speaker SPEAKER_03
transcript.pyannote[4422].start 19481.39159375
transcript.pyannote[4422].end 19481.74596875
transcript.pyannote[4423].speaker SPEAKER_26
transcript.pyannote[4423].start 19482.15096875
transcript.pyannote[4423].end 19484.02409375
transcript.pyannote[4424].speaker SPEAKER_03
transcript.pyannote[4424].start 19484.02409375
transcript.pyannote[4424].end 19484.04096875
transcript.pyannote[4425].speaker SPEAKER_26
transcript.pyannote[4425].start 19484.04096875
transcript.pyannote[4425].end 19484.07471875
transcript.pyannote[4426].speaker SPEAKER_03
transcript.pyannote[4426].start 19484.07471875
transcript.pyannote[4426].end 19486.28534375
transcript.pyannote[4427].speaker SPEAKER_03
transcript.pyannote[4427].start 19487.41596875
transcript.pyannote[4427].end 19491.71909375
transcript.pyannote[4428].speaker SPEAKER_17
transcript.pyannote[4428].start 19488.37784375
transcript.pyannote[4428].end 19488.41159375
transcript.pyannote[4429].speaker SPEAKER_26
transcript.pyannote[4429].start 19488.41159375
transcript.pyannote[4429].end 19488.42846875
transcript.pyannote[4430].speaker SPEAKER_17
transcript.pyannote[4430].start 19488.42846875
transcript.pyannote[4430].end 19488.46221875
transcript.pyannote[4431].speaker SPEAKER_26
transcript.pyannote[4431].start 19488.46221875
transcript.pyannote[4431].end 19488.96846875
transcript.pyannote[4432].speaker SPEAKER_17
transcript.pyannote[4432].start 19488.96846875
transcript.pyannote[4432].end 19489.03596875
transcript.pyannote[4433].speaker SPEAKER_26
transcript.pyannote[4433].start 19489.03596875
transcript.pyannote[4433].end 19489.96409375
transcript.pyannote[4434].speaker SPEAKER_17
transcript.pyannote[4434].start 19489.96409375
transcript.pyannote[4434].end 19490.03159375
transcript.pyannote[4435].speaker SPEAKER_26
transcript.pyannote[4435].start 19490.03159375
transcript.pyannote[4435].end 19490.97659375
transcript.pyannote[4436].speaker SPEAKER_17
transcript.pyannote[4436].start 19490.97659375
transcript.pyannote[4436].end 19491.01034375
transcript.pyannote[4437].speaker SPEAKER_26
transcript.pyannote[4437].start 19492.44471875
transcript.pyannote[4437].end 19492.47846875
transcript.pyannote[4438].speaker SPEAKER_03
transcript.pyannote[4438].start 19492.47846875
transcript.pyannote[4438].end 19493.84534375
transcript.pyannote[4439].speaker SPEAKER_26
transcript.pyannote[4439].start 19492.52909375
transcript.pyannote[4439].end 19493.00159375
transcript.pyannote[4440].speaker SPEAKER_18
transcript.pyannote[4440].start 19493.00159375
transcript.pyannote[4440].end 19493.13659375
transcript.pyannote[4441].speaker SPEAKER_26
transcript.pyannote[4441].start 19493.13659375
transcript.pyannote[4441].end 19494.18284375
transcript.pyannote[4442].speaker SPEAKER_03
transcript.pyannote[4442].start 19493.86221875
transcript.pyannote[4442].end 19493.96346875
transcript.pyannote[4443].speaker SPEAKER_03
transcript.pyannote[4443].start 19493.98034375
transcript.pyannote[4443].end 19493.99721875
transcript.pyannote[4444].speaker SPEAKER_18
transcript.pyannote[4444].start 19494.73971875
transcript.pyannote[4444].end 19496.25846875
transcript.pyannote[4445].speaker SPEAKER_18
transcript.pyannote[4445].start 19496.37659375
transcript.pyannote[4445].end 19496.98409375
transcript.pyannote[4446].speaker SPEAKER_26
transcript.pyannote[4446].start 19496.44409375
transcript.pyannote[4446].end 19502.72159375
transcript.pyannote[4447].speaker SPEAKER_30
transcript.pyannote[4447].start 19503.48096875
transcript.pyannote[4447].end 19504.84784375
transcript.pyannote[4448].speaker SPEAKER_26
transcript.pyannote[4448].start 19505.23596875
transcript.pyannote[4448].end 19507.04159375
transcript.pyannote[4449].speaker SPEAKER_26
transcript.pyannote[4449].start 19507.71659375
transcript.pyannote[4449].end 19514.51721875
transcript.pyannote[4450].speaker SPEAKER_27
transcript.pyannote[4450].start 19515.56346875
transcript.pyannote[4450].end 19519.27596875
transcript.pyannote[4451].speaker SPEAKER_30
transcript.pyannote[4451].start 19519.27596875
transcript.pyannote[4451].end 19526.76846875
transcript.pyannote[4452].speaker SPEAKER_27
transcript.pyannote[4452].start 19519.34346875
transcript.pyannote[4452].end 19521.25034375
transcript.pyannote[4453].speaker SPEAKER_27
transcript.pyannote[4453].start 19521.73971875
transcript.pyannote[4453].end 19522.71846875
transcript.pyannote[4454].speaker SPEAKER_27
transcript.pyannote[4454].start 19522.80284375
transcript.pyannote[4454].end 19523.51159375
transcript.pyannote[4455].speaker SPEAKER_01
transcript.pyannote[4455].start 19526.02596875
transcript.pyannote[4455].end 19528.03409375
transcript.pyannote[4456].speaker SPEAKER_30
transcript.pyannote[4456].start 19527.56159375
transcript.pyannote[4456].end 19530.44721875
transcript.pyannote[4457].speaker SPEAKER_25
transcript.pyannote[4457].start 19529.11409375
transcript.pyannote[4457].end 19529.60346875
transcript.pyannote[4458].speaker SPEAKER_30
transcript.pyannote[4458].start 19531.59471875
transcript.pyannote[4458].end 19531.69596875
transcript.pyannote[4459].speaker SPEAKER_01
transcript.pyannote[4459].start 19531.69596875
transcript.pyannote[4459].end 19533.02909375
transcript.pyannote[4460].speaker SPEAKER_26
transcript.pyannote[4460].start 19542.96846875
transcript.pyannote[4460].end 19555.11846875
transcript.pyannote[4461].speaker SPEAKER_31
transcript.pyannote[4461].start 19554.89909375
transcript.pyannote[4461].end 19555.21971875
transcript.pyannote[4462].speaker SPEAKER_26
transcript.pyannote[4462].start 19555.20284375
transcript.pyannote[4462].end 19558.34159375
transcript.pyannote[4463].speaker SPEAKER_26
transcript.pyannote[4463].start 19558.96596875
transcript.pyannote[4463].end 19562.62784375
transcript.pyannote[4464].speaker SPEAKER_26
transcript.pyannote[4464].start 19563.23534375
transcript.pyannote[4464].end 19563.65721875
transcript.pyannote[4465].speaker SPEAKER_26
transcript.pyannote[4465].start 19564.45034375
transcript.pyannote[4465].end 19581.81471875
transcript.pyannote[4466].speaker SPEAKER_16
transcript.pyannote[4466].start 19578.74346875
transcript.pyannote[4466].end 19582.75971875
transcript.pyannote[4467].speaker SPEAKER_26
transcript.pyannote[4467].start 19582.91159375
transcript.pyannote[4467].end 19586.26971875
transcript.pyannote[4468].speaker SPEAKER_26
transcript.pyannote[4468].start 19587.60284375
transcript.pyannote[4468].end 19588.56471875
transcript.pyannote[4469].speaker SPEAKER_26
transcript.pyannote[4469].start 19589.93159375
transcript.pyannote[4469].end 19590.58971875
transcript.pyannote[4470].speaker SPEAKER_26
transcript.pyannote[4470].start 19594.04909375
transcript.pyannote[4470].end 19599.78659375
transcript.pyannote[4471].speaker SPEAKER_26
transcript.pyannote[4471].start 19600.83284375
transcript.pyannote[4471].end 19602.46971875
transcript.pyannote[4472].speaker SPEAKER_26
transcript.pyannote[4472].start 19603.19534375
transcript.pyannote[4472].end 19603.51596875
transcript.pyannote[4473].speaker SPEAKER_26
transcript.pyannote[4473].start 19603.92096875
transcript.pyannote[4473].end 19606.97534375
transcript.pyannote[4474].speaker SPEAKER_16
transcript.pyannote[4474].start 19606.97534375
transcript.pyannote[4474].end 19608.24096875
transcript.pyannote[4475].speaker SPEAKER_16
transcript.pyannote[4475].start 19608.61221875
transcript.pyannote[4475].end 19611.91971875
transcript.pyannote[4476].speaker SPEAKER_10
transcript.pyannote[4476].start 19609.08471875
transcript.pyannote[4476].end 19609.16909375
transcript.pyannote[4477].speaker SPEAKER_16
transcript.pyannote[4477].start 19611.98721875
transcript.pyannote[4477].end 19612.00409375
transcript.pyannote[4478].speaker SPEAKER_26
transcript.pyannote[4478].start 19612.00409375
transcript.pyannote[4478].end 19612.03784375
transcript.pyannote[4479].speaker SPEAKER_16
transcript.pyannote[4479].start 19612.03784375
transcript.pyannote[4479].end 19612.08846875
transcript.pyannote[4480].speaker SPEAKER_26
transcript.pyannote[4480].start 19612.08846875
transcript.pyannote[4480].end 19613.11784375
transcript.pyannote[4481].speaker SPEAKER_16
transcript.pyannote[4481].start 19613.11784375
transcript.pyannote[4481].end 19613.13471875
transcript.pyannote[4482].speaker SPEAKER_26
transcript.pyannote[4482].start 19613.13471875
transcript.pyannote[4482].end 19613.30346875
transcript.pyannote[4483].speaker SPEAKER_16
transcript.pyannote[4483].start 19613.30346875
transcript.pyannote[4483].end 19614.50159375
transcript.pyannote[4484].speaker SPEAKER_26
transcript.pyannote[4484].start 19613.38784375
transcript.pyannote[4484].end 19613.92784375
transcript.pyannote[4485].speaker SPEAKER_10
transcript.pyannote[4485].start 19613.92784375
transcript.pyannote[4485].end 19615.61534375
transcript.pyannote[4486].speaker SPEAKER_16
transcript.pyannote[4486].start 19615.61534375
transcript.pyannote[4486].end 19620.98159375
transcript.pyannote[4487].speaker SPEAKER_10
transcript.pyannote[4487].start 19616.96534375
transcript.pyannote[4487].end 19618.56846875
transcript.pyannote[4488].speaker SPEAKER_28
transcript.pyannote[4488].start 19620.66096875
transcript.pyannote[4488].end 19622.70284375
transcript.pyannote[4489].speaker SPEAKER_28
transcript.pyannote[4489].start 19622.88846875
transcript.pyannote[4489].end 19622.90534375
transcript.pyannote[4490].speaker SPEAKER_16
transcript.pyannote[4490].start 19622.90534375
transcript.pyannote[4490].end 19623.37784375
transcript.pyannote[4491].speaker SPEAKER_28
transcript.pyannote[4491].start 19623.00659375
transcript.pyannote[4491].end 19623.51284375
transcript.pyannote[4492].speaker SPEAKER_16
transcript.pyannote[4492].start 19623.51284375
transcript.pyannote[4492].end 19624.37346875
transcript.pyannote[4493].speaker SPEAKER_26
transcript.pyannote[4493].start 19624.37346875
transcript.pyannote[4493].end 19624.40721875
transcript.pyannote[4494].speaker SPEAKER_16
transcript.pyannote[4494].start 19624.40721875
transcript.pyannote[4494].end 19624.44096875
transcript.pyannote[4495].speaker SPEAKER_26
transcript.pyannote[4495].start 19624.44096875
transcript.pyannote[4495].end 19626.46596875
transcript.pyannote[4496].speaker SPEAKER_28
transcript.pyannote[4496].start 19626.11159375
transcript.pyannote[4496].end 19627.52909375
transcript.pyannote[4497].speaker SPEAKER_26
transcript.pyannote[4497].start 19627.52909375
transcript.pyannote[4497].end 19628.03534375
transcript.pyannote[4498].speaker SPEAKER_28
transcript.pyannote[4498].start 19627.56284375
transcript.pyannote[4498].end 19627.59659375
transcript.pyannote[4499].speaker SPEAKER_26
transcript.pyannote[4499].start 19630.44846875
transcript.pyannote[4499].end 19636.75971875
transcript.pyannote[4500].speaker SPEAKER_28
transcript.pyannote[4500].start 19636.03409375
transcript.pyannote[4500].end 19642.53096875
transcript.pyannote[4501].speaker SPEAKER_26
transcript.pyannote[4501].start 19637.63721875
transcript.pyannote[4501].end 19638.09284375
transcript.pyannote[4502].speaker SPEAKER_26
transcript.pyannote[4502].start 19640.99534375
transcript.pyannote[4502].end 19641.58596875
transcript.pyannote[4503].speaker SPEAKER_26
transcript.pyannote[4503].start 19641.82221875
transcript.pyannote[4503].end 19643.98221875
transcript.pyannote[4504].speaker SPEAKER_28
transcript.pyannote[4504].start 19645.63596875
transcript.pyannote[4504].end 19645.93971875
transcript.pyannote[4505].speaker SPEAKER_28
transcript.pyannote[4505].start 19646.88471875
transcript.pyannote[4505].end 19646.91846875
transcript.pyannote[4506].speaker SPEAKER_26
transcript.pyannote[4506].start 19646.91846875
transcript.pyannote[4506].end 19648.33596875
transcript.pyannote[4507].speaker SPEAKER_28
transcript.pyannote[4507].start 19647.98159375
transcript.pyannote[4507].end 19648.75784375
transcript.pyannote[4508].speaker SPEAKER_26
transcript.pyannote[4508].start 19648.75784375
transcript.pyannote[4508].end 19661.54909375
transcript.pyannote[4509].speaker SPEAKER_25
transcript.pyannote[4509].start 19653.12846875
transcript.pyannote[4509].end 19653.28034375
transcript.pyannote[4510].speaker SPEAKER_25
transcript.pyannote[4510].start 19656.33471875
transcript.pyannote[4510].end 19657.60034375
transcript.pyannote[4511].speaker SPEAKER_00
transcript.pyannote[4511].start 19657.60034375
transcript.pyannote[4511].end 19657.65096875
transcript.pyannote[4512].speaker SPEAKER_00
transcript.pyannote[4512].start 19658.47784375
transcript.pyannote[4512].end 19659.77721875
transcript.pyannote[4513].speaker SPEAKER_26
transcript.pyannote[4513].start 19662.02159375
transcript.pyannote[4513].end 19668.90659375
transcript.pyannote[4514].speaker SPEAKER_28
transcript.pyannote[4514].start 19665.61596875
transcript.pyannote[4514].end 19665.64971875
transcript.pyannote[4515].speaker SPEAKER_25
transcript.pyannote[4515].start 19665.64971875
transcript.pyannote[4515].end 19666.45971875
transcript.pyannote[4516].speaker SPEAKER_26
transcript.pyannote[4516].start 19670.59409375
transcript.pyannote[4516].end 19687.14846875
transcript.pyannote[4517].speaker SPEAKER_31
transcript.pyannote[4517].start 19675.03221875
transcript.pyannote[4517].end 19675.11659375
transcript.pyannote[4518].speaker SPEAKER_28
transcript.pyannote[4518].start 19685.73096875
transcript.pyannote[4518].end 19686.25409375
transcript.pyannote[4519].speaker SPEAKER_31
transcript.pyannote[4519].start 19686.25409375
transcript.pyannote[4519].end 19686.30471875
transcript.pyannote[4520].speaker SPEAKER_28
transcript.pyannote[4520].start 19686.30471875
transcript.pyannote[4520].end 19686.60846875
transcript.pyannote[4521].speaker SPEAKER_28
transcript.pyannote[4521].start 19686.84471875
transcript.pyannote[4521].end 19687.13159375
transcript.pyannote[4522].speaker SPEAKER_31
transcript.pyannote[4522].start 19687.14846875
transcript.pyannote[4522].end 19687.43534375
transcript.pyannote[4523].speaker SPEAKER_28
transcript.pyannote[4523].start 19687.43534375
transcript.pyannote[4523].end 19688.02596875
transcript.pyannote[4524].speaker SPEAKER_31
transcript.pyannote[4524].start 19688.02596875
transcript.pyannote[4524].end 19688.34659375
transcript.pyannote[4525].speaker SPEAKER_28
transcript.pyannote[4525].start 19688.34659375
transcript.pyannote[4525].end 19689.46034375
transcript.pyannote[4526].speaker SPEAKER_28
transcript.pyannote[4526].start 19689.93284375
transcript.pyannote[4526].end 19689.94971875
transcript.pyannote[4527].speaker SPEAKER_26
transcript.pyannote[4527].start 19689.94971875
transcript.pyannote[4527].end 19696.78409375
transcript.pyannote[4528].speaker SPEAKER_29
transcript.pyannote[4528].start 19694.42159375
transcript.pyannote[4528].end 19694.92784375
transcript.pyannote[4529].speaker SPEAKER_26
transcript.pyannote[4529].start 19697.61096875
transcript.pyannote[4529].end 19703.06159375
transcript.pyannote[4530].speaker SPEAKER_26
transcript.pyannote[4530].start 19704.17534375
transcript.pyannote[4530].end 19713.74346875
transcript.pyannote[4531].speaker SPEAKER_10
transcript.pyannote[4531].start 19713.74346875
transcript.pyannote[4531].end 19715.65034375
transcript.pyannote[4532].speaker SPEAKER_26
transcript.pyannote[4532].start 19714.50284375
transcript.pyannote[4532].end 19715.21159375
transcript.pyannote[4533].speaker SPEAKER_26
transcript.pyannote[4533].start 19715.58284375
transcript.pyannote[4533].end 19715.59971875
transcript.pyannote[4534].speaker SPEAKER_26
transcript.pyannote[4534].start 19715.61659375
transcript.pyannote[4534].end 19718.77221875
transcript.pyannote[4535].speaker SPEAKER_26
transcript.pyannote[4535].start 19719.17721875
transcript.pyannote[4535].end 19729.92659375
transcript.pyannote[4536].speaker SPEAKER_26
transcript.pyannote[4536].start 19731.04034375
transcript.pyannote[4536].end 19748.28659375
transcript.pyannote[4537].speaker SPEAKER_31
transcript.pyannote[4537].start 19736.77784375
transcript.pyannote[4537].end 19737.16596875
transcript.pyannote[4538].speaker SPEAKER_27
transcript.pyannote[4538].start 19737.16596875
transcript.pyannote[4538].end 19737.19971875
transcript.pyannote[4539].speaker SPEAKER_27
transcript.pyannote[4539].start 19741.68846875
transcript.pyannote[4539].end 19743.10596875
transcript.pyannote[4540].speaker SPEAKER_28
transcript.pyannote[4540].start 19743.10596875
transcript.pyannote[4540].end 19743.17346875
transcript.pyannote[4541].speaker SPEAKER_10
transcript.pyannote[4541].start 19743.17346875
transcript.pyannote[4541].end 19743.34221875
transcript.pyannote[4542].speaker SPEAKER_10
transcript.pyannote[4542].start 19746.44721875
transcript.pyannote[4542].end 19747.27409375
transcript.pyannote[4543].speaker SPEAKER_10
transcript.pyannote[4543].start 19747.91534375
transcript.pyannote[4543].end 19752.55596875
transcript.pyannote[4544].speaker SPEAKER_26
transcript.pyannote[4544].start 19748.96159375
transcript.pyannote[4544].end 19752.91034375
transcript.pyannote[4545].speaker SPEAKER_10
transcript.pyannote[4545].start 19753.18034375
transcript.pyannote[4545].end 19760.68971875
transcript.pyannote[4546].speaker SPEAKER_10
transcript.pyannote[4546].start 19761.04409375
transcript.pyannote[4546].end 19770.13971875
transcript.pyannote[4547].speaker SPEAKER_06
transcript.pyannote[4547].start 19764.70596875
transcript.pyannote[4547].end 19764.73971875
transcript.pyannote[4548].speaker SPEAKER_16
transcript.pyannote[4548].start 19769.05971875
transcript.pyannote[4548].end 19769.93721875
transcript.pyannote[4549].speaker SPEAKER_16
transcript.pyannote[4549].start 19770.13971875
transcript.pyannote[4549].end 19770.17346875
transcript.pyannote[4550].speaker SPEAKER_10
transcript.pyannote[4550].start 19770.56159375
transcript.pyannote[4550].end 19772.08034375
transcript.pyannote[4551].speaker SPEAKER_10
transcript.pyannote[4551].start 19772.50221875
transcript.pyannote[4551].end 19773.53159375
transcript.pyannote[4552].speaker SPEAKER_16
transcript.pyannote[4552].start 19773.85221875
transcript.pyannote[4552].end 19775.08409375
transcript.pyannote[4553].speaker SPEAKER_16
transcript.pyannote[4553].start 19775.72534375
transcript.pyannote[4553].end 19776.85596875
transcript.pyannote[4554].speaker SPEAKER_10
transcript.pyannote[4554].start 19776.85596875
transcript.pyannote[4554].end 19780.36596875
transcript.pyannote[4555].speaker SPEAKER_16
transcript.pyannote[4555].start 19778.49284375
transcript.pyannote[4555].end 19779.31971875
transcript.pyannote[4556].speaker SPEAKER_16
transcript.pyannote[4556].start 19780.48409375
transcript.pyannote[4556].end 19782.08721875
transcript.pyannote[4557].speaker SPEAKER_10
transcript.pyannote[4557].start 19781.80034375
transcript.pyannote[4557].end 19787.08221875
transcript.pyannote[4558].speaker SPEAKER_16
transcript.pyannote[4558].start 19782.20534375
transcript.pyannote[4558].end 19783.50471875
transcript.pyannote[4559].speaker SPEAKER_16
transcript.pyannote[4559].start 19787.08221875
transcript.pyannote[4559].end 19791.43596875
transcript.pyannote[4560].speaker SPEAKER_10
transcript.pyannote[4560].start 19789.00596875
transcript.pyannote[4560].end 19792.73534375
transcript.pyannote[4561].speaker SPEAKER_16
transcript.pyannote[4561].start 19792.17846875
transcript.pyannote[4561].end 19792.31346875
transcript.pyannote[4562].speaker SPEAKER_16
transcript.pyannote[4562].start 19793.89971875
transcript.pyannote[4562].end 19794.77721875
transcript.pyannote[4563].speaker SPEAKER_16
transcript.pyannote[4563].start 19795.03034375
transcript.pyannote[4563].end 19796.41409375
transcript.pyannote[4564].speaker SPEAKER_10
transcript.pyannote[4564].start 19796.51534375
transcript.pyannote[4564].end 19797.13971875
transcript.pyannote[4565].speaker SPEAKER_10
transcript.pyannote[4565].start 19797.29159375
transcript.pyannote[4565].end 19803.19784375
transcript.pyannote[4566].speaker SPEAKER_10
transcript.pyannote[4566].start 19805.03721875
transcript.pyannote[4566].end 19810.13346875
transcript.pyannote[4567].speaker SPEAKER_16
transcript.pyannote[4567].start 19810.33596875
transcript.pyannote[4567].end 19824.02159375
transcript.pyannote[4568].speaker SPEAKER_10
transcript.pyannote[4568].start 19812.58034375
transcript.pyannote[4568].end 19812.88409375
transcript.pyannote[4569].speaker SPEAKER_10
transcript.pyannote[4569].start 19820.51159375
transcript.pyannote[4569].end 19832.17221875
transcript.pyannote[4570].speaker SPEAKER_16
transcript.pyannote[4570].start 19831.12596875
transcript.pyannote[4570].end 19831.24409375
transcript.pyannote[4571].speaker SPEAKER_16
transcript.pyannote[4571].start 19831.61534375
transcript.pyannote[4571].end 19836.47534375
transcript.pyannote[4572].speaker SPEAKER_10
transcript.pyannote[4572].start 19835.51346875
transcript.pyannote[4572].end 19838.19659375
transcript.pyannote[4573].speaker SPEAKER_16
transcript.pyannote[4573].start 19837.04909375
transcript.pyannote[4573].end 19838.82096875
transcript.pyannote[4574].speaker SPEAKER_10
transcript.pyannote[4574].start 19838.41596875
transcript.pyannote[4574].end 19843.79909375
transcript.pyannote[4575].speaker SPEAKER_16
transcript.pyannote[4575].start 19840.77846875
transcript.pyannote[4575].end 19841.08221875
transcript.pyannote[4576].speaker SPEAKER_10
transcript.pyannote[4576].start 19844.64284375
transcript.pyannote[4576].end 19845.18284375
transcript.pyannote[4577].speaker SPEAKER_16
transcript.pyannote[4577].start 19845.52034375
transcript.pyannote[4577].end 19845.77346875
transcript.pyannote[4578].speaker SPEAKER_10
transcript.pyannote[4578].start 19845.77346875
transcript.pyannote[4578].end 19849.03034375
transcript.pyannote[4579].speaker SPEAKER_10
transcript.pyannote[4579].start 19849.16534375
transcript.pyannote[4579].end 19850.17784375
transcript.pyannote[4580].speaker SPEAKER_16
transcript.pyannote[4580].start 19849.68846875
transcript.pyannote[4580].end 19849.75596875
transcript.pyannote[4581].speaker SPEAKER_26
transcript.pyannote[4581].start 19849.75596875
transcript.pyannote[4581].end 19850.90346875
transcript.pyannote[4582].speaker SPEAKER_26
transcript.pyannote[4582].start 19851.66284375
transcript.pyannote[4582].end 19854.75096875
transcript.pyannote[4583].speaker SPEAKER_26
transcript.pyannote[4583].start 19855.10534375
transcript.pyannote[4583].end 19876.85721875
transcript.pyannote[4584].speaker SPEAKER_28
transcript.pyannote[4584].start 19876.60409375
transcript.pyannote[4584].end 19877.76846875
transcript.pyannote[4585].speaker SPEAKER_26
transcript.pyannote[4585].start 19877.39721875
transcript.pyannote[4585].end 19885.54784375
transcript.pyannote[4586].speaker SPEAKER_31
transcript.pyannote[4586].start 19884.14721875
transcript.pyannote[4586].end 19886.91471875
transcript.pyannote[4587].speaker SPEAKER_31
transcript.pyannote[4587].start 19887.20159375
transcript.pyannote[4587].end 19887.21846875
transcript.pyannote[4588].speaker SPEAKER_26
transcript.pyannote[4588].start 19887.21846875
transcript.pyannote[4588].end 19893.49596875
transcript.pyannote[4589].speaker SPEAKER_31
transcript.pyannote[4589].start 19888.24784375
transcript.pyannote[4589].end 19888.66971875
transcript.pyannote[4590].speaker SPEAKER_26
transcript.pyannote[4590].start 19893.58034375
transcript.pyannote[4590].end 19901.30909375
transcript.pyannote[4591].speaker SPEAKER_26
transcript.pyannote[4591].start 19901.71409375
transcript.pyannote[4591].end 19903.06409375
transcript.pyannote[4592].speaker SPEAKER_26
transcript.pyannote[4592].start 19903.72221875
transcript.pyannote[4592].end 19907.46846875
transcript.pyannote[4593].speaker SPEAKER_26
transcript.pyannote[4593].start 19908.07596875
transcript.pyannote[4593].end 19918.47096875
transcript.pyannote[4594].speaker SPEAKER_31
transcript.pyannote[4594].start 19909.44284375
transcript.pyannote[4594].end 19909.91534375
transcript.pyannote[4595].speaker SPEAKER_26
transcript.pyannote[4595].start 19918.72409375
transcript.pyannote[4595].end 19921.27221875
transcript.pyannote[4596].speaker SPEAKER_26
transcript.pyannote[4596].start 19921.62659375
transcript.pyannote[4596].end 19929.08534375
transcript.pyannote[4597].speaker SPEAKER_26
transcript.pyannote[4597].start 19930.13159375
transcript.pyannote[4597].end 19932.44346875
transcript.pyannote[4598].speaker SPEAKER_15
transcript.pyannote[4598].start 19933.42221875
transcript.pyannote[4598].end 19938.87284375
transcript.pyannote[4599].speaker SPEAKER_26
transcript.pyannote[4599].start 19934.62034375
transcript.pyannote[4599].end 19935.63284375
transcript.pyannote[4600].speaker SPEAKER_26
transcript.pyannote[4600].start 19936.54409375
transcript.pyannote[4600].end 19937.80971875
transcript.pyannote[4601].speaker SPEAKER_26
transcript.pyannote[4601].start 19938.73784375
transcript.pyannote[4601].end 19939.41284375
transcript.pyannote[4602].speaker SPEAKER_27
transcript.pyannote[4602].start 19938.87284375
transcript.pyannote[4602].end 19938.88971875
transcript.pyannote[4603].speaker SPEAKER_26
transcript.pyannote[4603].start 19941.62346875
transcript.pyannote[4603].end 19943.86784375
transcript.pyannote[4604].speaker SPEAKER_27
transcript.pyannote[4604].start 19943.74971875
transcript.pyannote[4604].end 19944.76221875
transcript.pyannote[4605].speaker SPEAKER_26
transcript.pyannote[4605].start 19944.76221875
transcript.pyannote[4605].end 19946.14596875
transcript.pyannote[4606].speaker SPEAKER_27
transcript.pyannote[4606].start 19944.84659375
transcript.pyannote[4606].end 19945.28534375
transcript.pyannote[4607].speaker SPEAKER_10
transcript.pyannote[4607].start 19945.28534375
transcript.pyannote[4607].end 19945.36971875
transcript.pyannote[4608].speaker SPEAKER_27
transcript.pyannote[4608].start 19945.36971875
transcript.pyannote[4608].end 19945.97721875
transcript.pyannote[4609].speaker SPEAKER_31
transcript.pyannote[4609].start 19945.97721875
transcript.pyannote[4609].end 19945.99409375
transcript.pyannote[4610].speaker SPEAKER_31
transcript.pyannote[4610].start 19946.14596875
transcript.pyannote[4610].end 19946.70284375
transcript.pyannote[4611].speaker SPEAKER_26
transcript.pyannote[4611].start 19946.70284375
transcript.pyannote[4611].end 19948.96409375
transcript.pyannote[4612].speaker SPEAKER_31
transcript.pyannote[4612].start 19946.78721875
transcript.pyannote[4612].end 19947.02346875
transcript.pyannote[4613].speaker SPEAKER_10
transcript.pyannote[4613].start 19947.02346875
transcript.pyannote[4613].end 19947.07409375
transcript.pyannote[4614].speaker SPEAKER_31
transcript.pyannote[4614].start 19947.66471875
transcript.pyannote[4614].end 19947.76596875
transcript.pyannote[4615].speaker SPEAKER_10
transcript.pyannote[4615].start 19947.76596875
transcript.pyannote[4615].end 19948.57596875
transcript.pyannote[4616].speaker SPEAKER_15
transcript.pyannote[4616].start 19948.57596875
transcript.pyannote[4616].end 19948.84596875
transcript.pyannote[4617].speaker SPEAKER_10
transcript.pyannote[4617].start 19948.84596875
transcript.pyannote[4617].end 19955.84909375
transcript.pyannote[4618].speaker SPEAKER_15
transcript.pyannote[4618].start 19948.96409375
transcript.pyannote[4618].end 19949.89221875
transcript.pyannote[4619].speaker SPEAKER_28
transcript.pyannote[4619].start 19952.10284375
transcript.pyannote[4619].end 19952.92971875
transcript.pyannote[4620].speaker SPEAKER_28
transcript.pyannote[4620].start 19956.08534375
transcript.pyannote[4620].end 19958.29596875
transcript.pyannote[4621].speaker SPEAKER_10
transcript.pyannote[4621].start 19956.77721875
transcript.pyannote[4621].end 19958.02596875
transcript.pyannote[4622].speaker SPEAKER_15
transcript.pyannote[4622].start 19958.02596875
transcript.pyannote[4622].end 19958.53221875
transcript.pyannote[4623].speaker SPEAKER_10
transcript.pyannote[4623].start 19958.29596875
transcript.pyannote[4623].end 19958.36346875
transcript.pyannote[4624].speaker SPEAKER_15
transcript.pyannote[4624].start 19958.68409375
transcript.pyannote[4624].end 19962.76784375
transcript.pyannote[4625].speaker SPEAKER_06
transcript.pyannote[4625].start 19962.12659375
transcript.pyannote[4625].end 19962.75096875
transcript.pyannote[4626].speaker SPEAKER_06
transcript.pyannote[4626].start 19962.76784375
transcript.pyannote[4626].end 19969.21409375
transcript.pyannote[4627].speaker SPEAKER_15
transcript.pyannote[4627].start 19965.34971875
transcript.pyannote[4627].end 19969.39971875
transcript.pyannote[4628].speaker SPEAKER_06
transcript.pyannote[4628].start 19969.39971875
transcript.pyannote[4628].end 19969.97346875
transcript.pyannote[4629].speaker SPEAKER_15
transcript.pyannote[4629].start 19969.97346875
transcript.pyannote[4629].end 19971.42471875
transcript.pyannote[4630].speaker SPEAKER_06
transcript.pyannote[4630].start 19970.90159375
transcript.pyannote[4630].end 19971.25596875
transcript.pyannote[4631].speaker SPEAKER_06
transcript.pyannote[4631].start 19972.99409375
transcript.pyannote[4631].end 19973.24721875
transcript.pyannote[4632].speaker SPEAKER_06
transcript.pyannote[4632].start 19973.41596875
transcript.pyannote[4632].end 19974.39471875
transcript.pyannote[4633].speaker SPEAKER_06
transcript.pyannote[4633].start 19974.91784375
transcript.pyannote[4633].end 19976.09909375
transcript.pyannote[4634].speaker SPEAKER_06
transcript.pyannote[4634].start 19976.18346875
transcript.pyannote[4634].end 19976.65596875
transcript.pyannote[4635].speaker SPEAKER_31
transcript.pyannote[4635].start 19976.65596875
transcript.pyannote[4635].end 19976.79096875
transcript.pyannote[4636].speaker SPEAKER_31
transcript.pyannote[4636].start 19976.97659375
transcript.pyannote[4636].end 19977.01034375
transcript.pyannote[4637].speaker SPEAKER_06
transcript.pyannote[4637].start 19977.73596875
transcript.pyannote[4637].end 19981.78596875
transcript.pyannote[4638].speaker SPEAKER_31
transcript.pyannote[4638].start 19979.79471875
transcript.pyannote[4638].end 19980.52034375
transcript.pyannote[4639].speaker SPEAKER_31
transcript.pyannote[4639].start 19981.19534375
transcript.pyannote[4639].end 19981.53284375
transcript.pyannote[4640].speaker SPEAKER_31
transcript.pyannote[4640].start 19981.78596875
transcript.pyannote[4640].end 19981.81971875
transcript.pyannote[4641].speaker SPEAKER_06
transcript.pyannote[4641].start 19982.07284375
transcript.pyannote[4641].end 19987.40534375
transcript.pyannote[4642].speaker SPEAKER_06
transcript.pyannote[4642].start 19987.92846875
transcript.pyannote[4642].end 19988.97471875
transcript.pyannote[4643].speaker SPEAKER_06
transcript.pyannote[4643].start 19989.85221875
transcript.pyannote[4643].end 19991.67471875
transcript.pyannote[4644].speaker SPEAKER_06
transcript.pyannote[4644].start 19992.26534375
transcript.pyannote[4644].end 19996.88909375
transcript.pyannote[4645].speaker SPEAKER_04
transcript.pyannote[4645].start 19995.96096875
transcript.pyannote[4645].end 19996.29846875
transcript.pyannote[4646].speaker SPEAKER_15
transcript.pyannote[4646].start 19996.29846875
transcript.pyannote[4646].end 19997.02409375
transcript.pyannote[4647].speaker SPEAKER_04
transcript.pyannote[4647].start 19996.88909375
transcript.pyannote[4647].end 19996.93971875
transcript.pyannote[4648].speaker SPEAKER_04
transcript.pyannote[4648].start 19997.02409375
transcript.pyannote[4648].end 19997.69909375
transcript.pyannote[4649].speaker SPEAKER_15
transcript.pyannote[4649].start 19997.07471875
transcript.pyannote[4649].end 19998.03659375
transcript.pyannote[4650].speaker SPEAKER_06
transcript.pyannote[4650].start 19997.69909375
transcript.pyannote[4650].end 19999.30221875
transcript.pyannote[4651].speaker SPEAKER_04
transcript.pyannote[4651].start 19998.03659375
transcript.pyannote[4651].end 19998.18846875
transcript.pyannote[4652].speaker SPEAKER_15
transcript.pyannote[4652].start 19998.18846875
transcript.pyannote[4652].end 19998.34034375
transcript.pyannote[4653].speaker SPEAKER_04
transcript.pyannote[4653].start 19998.34034375
transcript.pyannote[4653].end 19998.44159375
transcript.pyannote[4654].speaker SPEAKER_15
transcript.pyannote[4654].start 19998.44159375
transcript.pyannote[4654].end 19998.47534375
transcript.pyannote[4655].speaker SPEAKER_04
transcript.pyannote[4655].start 19998.47534375
transcript.pyannote[4655].end 19998.72846875
transcript.pyannote[4656].speaker SPEAKER_15
transcript.pyannote[4656].start 19998.72846875
transcript.pyannote[4656].end 19998.93096875
transcript.pyannote[4657].speaker SPEAKER_04
transcript.pyannote[4657].start 19998.93096875
transcript.pyannote[4657].end 19998.96471875
transcript.pyannote[4658].speaker SPEAKER_15
transcript.pyannote[4658].start 19998.96471875
transcript.pyannote[4658].end 19999.03221875
transcript.pyannote[4659].speaker SPEAKER_04
transcript.pyannote[4659].start 19999.03221875
transcript.pyannote[4659].end 19999.42034375
transcript.pyannote[4660].speaker SPEAKER_04
transcript.pyannote[4660].start 20000.36534375
transcript.pyannote[4660].end 20001.07409375
transcript.pyannote[4661].speaker SPEAKER_15
transcript.pyannote[4661].start 20001.41159375
transcript.pyannote[4661].end 20003.90909375
transcript.pyannote[4662].speaker SPEAKER_04
transcript.pyannote[4662].start 20004.21284375
transcript.pyannote[4662].end 20005.20846875
transcript.pyannote[4663].speaker SPEAKER_10
transcript.pyannote[4663].start 20018.80971875
transcript.pyannote[4663].end 20019.31596875
transcript.pyannote[4664].speaker SPEAKER_10
transcript.pyannote[4664].start 20019.63659375
transcript.pyannote[4664].end 20021.47596875
transcript.pyannote[4665].speaker SPEAKER_31
transcript.pyannote[4665].start 20022.25221875
transcript.pyannote[4665].end 20022.35346875
transcript.pyannote[4666].speaker SPEAKER_10
transcript.pyannote[4666].start 20022.35346875
transcript.pyannote[4666].end 20023.58534375
transcript.pyannote[4667].speaker SPEAKER_31
transcript.pyannote[4667].start 20022.40409375
transcript.pyannote[4667].end 20022.47159375
transcript.pyannote[4668].speaker SPEAKER_31
transcript.pyannote[4668].start 20022.53909375
transcript.pyannote[4668].end 20022.57284375
transcript.pyannote[4669].speaker SPEAKER_31
transcript.pyannote[4669].start 20022.70784375
transcript.pyannote[4669].end 20023.04534375
transcript.pyannote[4670].speaker SPEAKER_01
transcript.pyannote[4670].start 20023.58534375
transcript.pyannote[4670].end 20023.61909375
transcript.pyannote[4671].speaker SPEAKER_10
transcript.pyannote[4671].start 20024.27721875
transcript.pyannote[4671].end 20024.29409375
transcript.pyannote[4672].speaker SPEAKER_31
transcript.pyannote[4672].start 20024.29409375
transcript.pyannote[4672].end 20027.24721875
transcript.pyannote[4673].speaker SPEAKER_01
transcript.pyannote[4673].start 20024.64846875
transcript.pyannote[4673].end 20024.88471875
transcript.pyannote[4674].speaker SPEAKER_01
transcript.pyannote[4674].start 20025.25596875
transcript.pyannote[4674].end 20031.71909375
transcript.pyannote[4675].speaker SPEAKER_27
transcript.pyannote[4675].start 20027.24721875
transcript.pyannote[4675].end 20027.34846875
transcript.pyannote[4676].speaker SPEAKER_10
transcript.pyannote[4676].start 20027.34846875
transcript.pyannote[4676].end 20027.38221875
transcript.pyannote[4677].speaker SPEAKER_31
transcript.pyannote[4677].start 20028.24284375
transcript.pyannote[4677].end 20028.25971875
transcript.pyannote[4678].speaker SPEAKER_27
transcript.pyannote[4678].start 20028.25971875
transcript.pyannote[4678].end 20029.79534375
transcript.pyannote[4679].speaker SPEAKER_31
transcript.pyannote[4679].start 20029.79534375
transcript.pyannote[4679].end 20030.03159375
transcript.pyannote[4680].speaker SPEAKER_27
transcript.pyannote[4680].start 20030.03159375
transcript.pyannote[4680].end 20030.06534375
transcript.pyannote[4681].speaker SPEAKER_31
transcript.pyannote[4681].start 20030.06534375
transcript.pyannote[4681].end 20030.14971875
transcript.pyannote[4682].speaker SPEAKER_27
transcript.pyannote[4682].start 20030.14971875
transcript.pyannote[4682].end 20031.02721875
transcript.pyannote[4683].speaker SPEAKER_10
transcript.pyannote[4683].start 20031.02721875
transcript.pyannote[4683].end 20031.12846875
transcript.pyannote[4684].speaker SPEAKER_10
transcript.pyannote[4684].start 20031.58409375
transcript.pyannote[4684].end 20031.65159375
transcript.pyannote[4685].speaker SPEAKER_27
transcript.pyannote[4685].start 20031.65159375
transcript.pyannote[4685].end 20032.96784375
transcript.pyannote[4686].speaker SPEAKER_10
transcript.pyannote[4686].start 20032.27596875
transcript.pyannote[4686].end 20034.57096875
transcript.pyannote[4687].speaker SPEAKER_31
transcript.pyannote[4687].start 20034.57096875
transcript.pyannote[4687].end 20034.77346875
transcript.pyannote[4688].speaker SPEAKER_10
transcript.pyannote[4688].start 20037.99659375
transcript.pyannote[4688].end 20039.71784375
transcript.pyannote[4689].speaker SPEAKER_37
transcript.pyannote[4689].start 20040.84846875
transcript.pyannote[4689].end 20041.21971875
transcript.pyannote[4690].speaker SPEAKER_37
transcript.pyannote[4690].start 20041.67534375
transcript.pyannote[4690].end 20044.71284375
transcript.pyannote[4691].speaker SPEAKER_10
transcript.pyannote[4691].start 20044.07159375
transcript.pyannote[4691].end 20044.13909375
transcript.pyannote[4692].speaker SPEAKER_06
transcript.pyannote[4692].start 20044.13909375
transcript.pyannote[4692].end 20044.69596875
transcript.pyannote[4693].speaker SPEAKER_06
transcript.pyannote[4693].start 20044.71284375
transcript.pyannote[4693].end 20045.75909375
transcript.pyannote[4694].speaker SPEAKER_37
transcript.pyannote[4694].start 20045.75909375
transcript.pyannote[4694].end 20047.31159375
transcript.pyannote[4695].speaker SPEAKER_06
transcript.pyannote[4695].start 20045.82659375
transcript.pyannote[4695].end 20046.31596875
transcript.pyannote[4696].speaker SPEAKER_06
transcript.pyannote[4696].start 20047.31159375
transcript.pyannote[4696].end 20048.77971875
transcript.pyannote[4697].speaker SPEAKER_37
transcript.pyannote[4697].start 20048.77971875
transcript.pyannote[4697].end 20051.14221875
transcript.pyannote[4698].speaker SPEAKER_06
transcript.pyannote[4698].start 20049.04971875
transcript.pyannote[4698].end 20049.97784375
transcript.pyannote[4699].speaker SPEAKER_37
transcript.pyannote[4699].start 20053.45409375
transcript.pyannote[4699].end 20053.96034375
transcript.pyannote[4700].speaker SPEAKER_37
transcript.pyannote[4700].start 20054.34846875
transcript.pyannote[4700].end 20055.44534375
transcript.pyannote[4701].speaker SPEAKER_26
transcript.pyannote[4701].start 20057.31846875
transcript.pyannote[4701].end 20060.23784375
transcript.pyannote[4702].speaker SPEAKER_26
transcript.pyannote[4702].start 20061.08159375
transcript.pyannote[4702].end 20063.98409375
transcript.pyannote[4703].speaker SPEAKER_26
transcript.pyannote[4703].start 20064.60846875
transcript.pyannote[4703].end 20065.67159375
transcript.pyannote[4704].speaker SPEAKER_26
transcript.pyannote[4704].start 20066.11034375
transcript.pyannote[4704].end 20066.12721875
transcript.pyannote[4705].speaker SPEAKER_36
transcript.pyannote[4705].start 20066.12721875
transcript.pyannote[4705].end 20068.72596875
transcript.pyannote[4706].speaker SPEAKER_36
transcript.pyannote[4706].start 20069.90721875
transcript.pyannote[4706].end 20071.00409375
transcript.pyannote[4707].speaker SPEAKER_36
transcript.pyannote[4707].start 20071.64534375
transcript.pyannote[4707].end 20075.45909375
transcript.pyannote[4708].speaker SPEAKER_36
transcript.pyannote[4708].start 20076.89346875
transcript.pyannote[4708].end 20077.92284375
transcript.pyannote[4709].speaker SPEAKER_36
transcript.pyannote[4709].start 20079.59346875
transcript.pyannote[4709].end 20081.24721875
transcript.pyannote[4710].speaker SPEAKER_36
transcript.pyannote[4710].start 20081.85471875
transcript.pyannote[4710].end 20083.40721875
transcript.pyannote[4711].speaker SPEAKER_36
transcript.pyannote[4711].start 20083.66034375
transcript.pyannote[4711].end 20087.00159375
transcript.pyannote[4712].speaker SPEAKER_36
transcript.pyannote[4712].start 20087.62596875
transcript.pyannote[4712].end 20090.71409375
transcript.pyannote[4713].speaker SPEAKER_36
transcript.pyannote[4713].start 20092.23284375
transcript.pyannote[4713].end 20095.16909375
transcript.pyannote[4714].speaker SPEAKER_36
transcript.pyannote[4714].start 20096.11409375
transcript.pyannote[4714].end 20097.78471875
transcript.pyannote[4715].speaker SPEAKER_36
transcript.pyannote[4715].start 20098.45971875
transcript.pyannote[4715].end 20099.82659375
transcript.pyannote[4716].speaker SPEAKER_36
transcript.pyannote[4716].start 20100.23159375
transcript.pyannote[4716].end 20100.73784375
transcript.pyannote[4717].speaker SPEAKER_36
transcript.pyannote[4717].start 20101.46346875
transcript.pyannote[4717].end 20105.51346875
transcript.pyannote[4718].speaker SPEAKER_31
transcript.pyannote[4718].start 20106.07034375
transcript.pyannote[4718].end 20108.04471875
transcript.pyannote[4719].speaker SPEAKER_36
transcript.pyannote[4719].start 20108.09534375
transcript.pyannote[4719].end 20110.79534375
transcript.pyannote[4720].speaker SPEAKER_36
transcript.pyannote[4720].start 20111.43659375
transcript.pyannote[4720].end 20116.36409375
transcript.pyannote[4721].speaker SPEAKER_36
transcript.pyannote[4721].start 20116.81971875
transcript.pyannote[4721].end 20120.19471875
transcript.pyannote[4722].speaker SPEAKER_36
transcript.pyannote[4722].start 20120.58284375
transcript.pyannote[4722].end 20123.63721875
transcript.pyannote[4723].speaker SPEAKER_36
transcript.pyannote[4723].start 20124.59909375
transcript.pyannote[4723].end 20126.47221875
transcript.pyannote[4724].speaker SPEAKER_36
transcript.pyannote[4724].start 20126.72534375
transcript.pyannote[4724].end 20128.44659375
transcript.pyannote[4725].speaker SPEAKER_36
transcript.pyannote[4725].start 20129.29034375
transcript.pyannote[4725].end 20133.62721875
transcript.pyannote[4726].speaker SPEAKER_36
transcript.pyannote[4726].start 20135.16284375
transcript.pyannote[4726].end 20136.09096875
transcript.pyannote[4727].speaker SPEAKER_36
transcript.pyannote[4727].start 20136.51284375
transcript.pyannote[4727].end 20137.96409375
transcript.pyannote[4728].speaker SPEAKER_36
transcript.pyannote[4728].start 20138.50409375
transcript.pyannote[4728].end 20140.73159375
transcript.pyannote[4729].speaker SPEAKER_36
transcript.pyannote[4729].start 20141.18721875
transcript.pyannote[4729].end 20142.84096875
transcript.pyannote[4730].speaker SPEAKER_36
transcript.pyannote[4730].start 20144.15721875
transcript.pyannote[4730].end 20145.97971875
transcript.pyannote[4731].speaker SPEAKER_36
transcript.pyannote[4731].start 20146.72221875
transcript.pyannote[4731].end 20149.62471875
transcript.pyannote[4732].speaker SPEAKER_36
transcript.pyannote[4732].start 20150.38409375
transcript.pyannote[4732].end 20152.24034375
transcript.pyannote[4733].speaker SPEAKER_36
transcript.pyannote[4733].start 20152.64534375
transcript.pyannote[4733].end 20154.51846875
transcript.pyannote[4734].speaker SPEAKER_36
transcript.pyannote[4734].start 20154.97409375
transcript.pyannote[4734].end 20161.82534375
transcript.pyannote[4735].speaker SPEAKER_36
transcript.pyannote[4735].start 20164.47471875
transcript.pyannote[4735].end 20165.87534375
transcript.pyannote[4736].speaker SPEAKER_36
transcript.pyannote[4736].start 20166.28034375
transcript.pyannote[4736].end 20168.60909375
transcript.pyannote[4737].speaker SPEAKER_36
transcript.pyannote[4737].start 20169.03096875
transcript.pyannote[4737].end 20170.87034375
transcript.pyannote[4738].speaker SPEAKER_36
transcript.pyannote[4738].start 20171.37659375
transcript.pyannote[4738].end 20179.98284375
transcript.pyannote[4739].speaker SPEAKER_36
transcript.pyannote[4739].start 20180.55659375
transcript.pyannote[4739].end 20183.76284375
transcript.pyannote[4740].speaker SPEAKER_36
transcript.pyannote[4740].start 20184.84284375
transcript.pyannote[4740].end 20187.23909375
transcript.pyannote[4741].speaker SPEAKER_36
transcript.pyannote[4741].start 20187.89721875
transcript.pyannote[4741].end 20188.30221875
transcript.pyannote[4742].speaker SPEAKER_36
transcript.pyannote[4742].start 20189.01096875
transcript.pyannote[4742].end 20189.26409375
transcript.pyannote[4743].speaker SPEAKER_36
transcript.pyannote[4743].start 20189.68596875
transcript.pyannote[4743].end 20190.95159375
transcript.pyannote[4744].speaker SPEAKER_36
transcript.pyannote[4744].start 20191.57596875
transcript.pyannote[4744].end 20191.62659375
transcript.pyannote[4745].speaker SPEAKER_36
transcript.pyannote[4745].start 20192.84159375
transcript.pyannote[4745].end 20193.58409375
transcript.pyannote[4746].speaker SPEAKER_36
transcript.pyannote[4746].start 20194.07346875
transcript.pyannote[4746].end 20198.76471875
transcript.pyannote[4747].speaker SPEAKER_36
transcript.pyannote[4747].start 20199.06846875
transcript.pyannote[4747].end 20200.92471875
transcript.pyannote[4748].speaker SPEAKER_36
transcript.pyannote[4748].start 20201.68409375
transcript.pyannote[4748].end 20203.32096875
transcript.pyannote[4749].speaker SPEAKER_36
transcript.pyannote[4749].start 20204.45159375
transcript.pyannote[4749].end 20205.91971875
transcript.pyannote[4750].speaker SPEAKER_36
transcript.pyannote[4750].start 20206.59471875
transcript.pyannote[4750].end 20208.13034375
transcript.pyannote[4751].speaker SPEAKER_36
transcript.pyannote[4751].start 20208.88971875
transcript.pyannote[4751].end 20209.54784375
transcript.pyannote[4752].speaker SPEAKER_36
transcript.pyannote[4752].start 20210.00346875
transcript.pyannote[4752].end 20212.53471875
transcript.pyannote[4753].speaker SPEAKER_36
transcript.pyannote[4753].start 20212.70346875
transcript.pyannote[4753].end 20213.86784375
transcript.pyannote[4754].speaker SPEAKER_36
transcript.pyannote[4754].start 20214.57659375
transcript.pyannote[4754].end 20217.52971875
transcript.pyannote[4755].speaker SPEAKER_36
transcript.pyannote[4755].start 20219.06534375
transcript.pyannote[4755].end 20221.00596875
transcript.pyannote[4756].speaker SPEAKER_36
transcript.pyannote[4756].start 20221.03971875
transcript.pyannote[4756].end 20222.33909375
transcript.pyannote[4757].speaker SPEAKER_36
transcript.pyannote[4757].start 20222.60909375
transcript.pyannote[4757].end 20227.08096875
transcript.pyannote[4758].speaker SPEAKER_36
transcript.pyannote[4758].start 20227.16534375
transcript.pyannote[4758].end 20228.93721875
transcript.pyannote[4759].speaker SPEAKER_36
transcript.pyannote[4759].start 20229.40971875
transcript.pyannote[4759].end 20230.96221875
transcript.pyannote[4760].speaker SPEAKER_36
transcript.pyannote[4760].start 20232.00846875
transcript.pyannote[4760].end 20232.36284375
transcript.pyannote[4761].speaker SPEAKER_36
transcript.pyannote[4761].start 20233.12221875
transcript.pyannote[4761].end 20234.21909375
transcript.pyannote[4762].speaker SPEAKER_36
transcript.pyannote[4762].start 20235.36659375
transcript.pyannote[4762].end 20235.43409375
transcript.pyannote[4763].speaker SPEAKER_36
transcript.pyannote[4763].start 20235.50159375
transcript.pyannote[4763].end 20235.55221875
transcript.pyannote[4764].speaker SPEAKER_36
transcript.pyannote[4764].start 20236.19346875
transcript.pyannote[4764].end 20238.47159375
transcript.pyannote[4765].speaker SPEAKER_36
transcript.pyannote[4765].start 20239.31534375
transcript.pyannote[4765].end 20241.12096875
transcript.pyannote[4766].speaker SPEAKER_36
transcript.pyannote[4766].start 20241.59346875
transcript.pyannote[4766].end 20244.96846875
transcript.pyannote[4767].speaker SPEAKER_36
transcript.pyannote[4767].start 20246.95971875
transcript.pyannote[4767].end 20248.37721875
transcript.pyannote[4768].speaker SPEAKER_36
transcript.pyannote[4768].start 20249.17034375
transcript.pyannote[4768].end 20256.15659375
transcript.pyannote[4769].speaker SPEAKER_36
transcript.pyannote[4769].start 20256.71346875
transcript.pyannote[4769].end 20258.04659375
transcript.pyannote[4770].speaker SPEAKER_36
transcript.pyannote[4770].start 20258.90721875
transcript.pyannote[4770].end 20262.53534375
transcript.pyannote[4771].speaker SPEAKER_36
transcript.pyannote[4771].start 20263.02471875
transcript.pyannote[4771].end 20264.50971875
transcript.pyannote[4772].speaker SPEAKER_36
transcript.pyannote[4772].start 20265.25221875
transcript.pyannote[4772].end 20267.05784375
transcript.pyannote[4773].speaker SPEAKER_36
transcript.pyannote[4773].start 20267.34471875
transcript.pyannote[4773].end 20268.30659375
transcript.pyannote[4774].speaker SPEAKER_36
transcript.pyannote[4774].start 20268.72846875
transcript.pyannote[4774].end 20270.26409375
transcript.pyannote[4775].speaker SPEAKER_36
transcript.pyannote[4775].start 20270.87159375
transcript.pyannote[4775].end 20272.30596875
transcript.pyannote[4776].speaker SPEAKER_36
transcript.pyannote[4776].start 20272.93034375
transcript.pyannote[4776].end 20274.48284375
transcript.pyannote[4777].speaker SPEAKER_36
transcript.pyannote[4777].start 20274.90471875
transcript.pyannote[4777].end 20276.44034375
transcript.pyannote[4778].speaker SPEAKER_36
transcript.pyannote[4778].start 20277.18284375
transcript.pyannote[4778].end 20278.63409375
transcript.pyannote[4779].speaker SPEAKER_36
transcript.pyannote[4779].start 20278.98846875
transcript.pyannote[4779].end 20280.42284375
transcript.pyannote[4780].speaker SPEAKER_36
transcript.pyannote[4780].start 20280.91221875
transcript.pyannote[4780].end 20282.86971875
transcript.pyannote[4781].speaker SPEAKER_36
transcript.pyannote[4781].start 20283.30846875
transcript.pyannote[4781].end 20285.09721875
transcript.pyannote[4782].speaker SPEAKER_36
transcript.pyannote[4782].start 20285.55284375
transcript.pyannote[4782].end 20287.27409375
transcript.pyannote[4783].speaker SPEAKER_36
transcript.pyannote[4783].start 20288.84346875
transcript.pyannote[4783].end 20289.18096875
transcript.pyannote[4784].speaker SPEAKER_36
transcript.pyannote[4784].start 20289.24846875
transcript.pyannote[4784].end 20289.94034375
transcript.pyannote[4785].speaker SPEAKER_36
transcript.pyannote[4785].start 20291.59409375
transcript.pyannote[4785].end 20293.39971875
transcript.pyannote[4786].speaker SPEAKER_36
transcript.pyannote[4786].start 20294.39534375
transcript.pyannote[4786].end 20295.13784375
transcript.pyannote[4787].speaker SPEAKER_36
transcript.pyannote[4787].start 20295.91409375
transcript.pyannote[4787].end 20297.78721875
transcript.pyannote[4788].speaker SPEAKER_26
transcript.pyannote[4788].start 20296.84221875
transcript.pyannote[4788].end 20297.02784375
transcript.pyannote[4789].speaker SPEAKER_26
transcript.pyannote[4789].start 20298.58034375
transcript.pyannote[4789].end 20299.37346875
transcript.pyannote[4790].speaker SPEAKER_26
transcript.pyannote[4790].start 20300.21721875
transcript.pyannote[4790].end 20300.47034375
transcript.pyannote[4791].speaker SPEAKER_36
transcript.pyannote[4791].start 20300.47034375
transcript.pyannote[4791].end 20301.71909375
transcript.pyannote[4792].speaker SPEAKER_26
transcript.pyannote[4792].start 20300.48721875
transcript.pyannote[4792].end 20300.53784375
transcript.pyannote[4793].speaker SPEAKER_26
transcript.pyannote[4793].start 20301.56721875
transcript.pyannote[4793].end 20301.70221875
transcript.pyannote[4794].speaker SPEAKER_26
transcript.pyannote[4794].start 20301.71909375
transcript.pyannote[4794].end 20301.83721875
transcript.pyannote[4795].speaker SPEAKER_36
transcript.pyannote[4795].start 20302.63034375
transcript.pyannote[4795].end 20303.25471875
transcript.pyannote[4796].speaker SPEAKER_36
transcript.pyannote[4796].start 20303.52471875
transcript.pyannote[4796].end 20304.25034375
transcript.pyannote[4797].speaker SPEAKER_36
transcript.pyannote[4797].start 20304.82409375
transcript.pyannote[4797].end 20306.25846875
transcript.pyannote[4798].speaker SPEAKER_36
transcript.pyannote[4798].start 20307.42284375
transcript.pyannote[4798].end 20308.16534375
transcript.pyannote[4799].speaker SPEAKER_36
transcript.pyannote[4799].start 20308.63784375
transcript.pyannote[4799].end 20313.91971875
transcript.pyannote[4800].speaker SPEAKER_36
transcript.pyannote[4800].start 20315.10096875
transcript.pyannote[4800].end 20316.65346875
transcript.pyannote[4801].speaker SPEAKER_26
transcript.pyannote[4801].start 20316.65346875
transcript.pyannote[4801].end 20320.19721875
transcript.pyannote[4802].speaker SPEAKER_26
transcript.pyannote[4802].start 20320.43346875
transcript.pyannote[4802].end 20325.73221875
transcript.pyannote[4803].speaker SPEAKER_26
transcript.pyannote[4803].start 20326.25534375
transcript.pyannote[4803].end 20333.30909375
transcript.pyannote[4804].speaker SPEAKER_26
transcript.pyannote[4804].start 20333.86596875
transcript.pyannote[4804].end 20343.99096875
transcript.pyannote[4805].speaker SPEAKER_26
transcript.pyannote[4805].start 20344.44659375
transcript.pyannote[4805].end 20352.24284375
transcript.pyannote[4806].speaker SPEAKER_26
transcript.pyannote[4806].start 20352.37784375
transcript.pyannote[4806].end 20358.89159375
transcript.pyannote[4807].speaker SPEAKER_26
transcript.pyannote[4807].start 20361.16971875
transcript.pyannote[4807].end 20364.02159375
transcript.pyannote[4808].speaker SPEAKER_26
transcript.pyannote[4808].start 20364.10596875
transcript.pyannote[4808].end 20365.11846875
transcript.pyannote[4809].speaker SPEAKER_26
transcript.pyannote[4809].start 20366.19846875
transcript.pyannote[4809].end 20376.15471875
transcript.pyannote[4810].speaker SPEAKER_26
transcript.pyannote[4810].start 20376.69471875
transcript.pyannote[4810].end 20406.17534375
transcript.pyannote[4811].speaker SPEAKER_18
transcript.pyannote[4811].start 20408.97659375
transcript.pyannote[4811].end 20409.07784375
transcript.pyannote[4812].speaker SPEAKER_18
transcript.pyannote[4812].start 20410.02284375
transcript.pyannote[4812].end 20413.97159375
transcript.pyannote[4813].speaker SPEAKER_10
transcript.pyannote[4813].start 20412.82409375
transcript.pyannote[4813].end 20418.15659375
transcript.pyannote[4814].speaker SPEAKER_02
transcript.pyannote[4814].start 20413.97159375
transcript.pyannote[4814].end 20418.03846875
transcript.pyannote[4815].speaker SPEAKER_15
transcript.pyannote[4815].start 20418.03846875
transcript.pyannote[4815].end 20418.22409375
transcript.pyannote[4816].speaker SPEAKER_02
transcript.pyannote[4816].start 20418.15659375
transcript.pyannote[4816].end 20418.76409375
transcript.pyannote[4817].speaker SPEAKER_10
transcript.pyannote[4817].start 20418.22409375
transcript.pyannote[4817].end 20418.29159375
transcript.pyannote[4818].speaker SPEAKER_15
transcript.pyannote[4818].start 20418.76409375
transcript.pyannote[4818].end 20418.94971875
transcript.pyannote[4819].speaker SPEAKER_31
transcript.pyannote[4819].start 20420.23221875
transcript.pyannote[4819].end 20420.24909375
transcript.pyannote[4820].speaker SPEAKER_02
transcript.pyannote[4820].start 20420.24909375
transcript.pyannote[4820].end 20420.97471875
transcript.pyannote[4821].speaker SPEAKER_15
transcript.pyannote[4821].start 20420.26596875
transcript.pyannote[4821].end 20426.96534375
transcript.pyannote[4822].speaker SPEAKER_31
transcript.pyannote[4822].start 20420.97471875
transcript.pyannote[4822].end 20421.97034375
transcript.pyannote[4823].speaker SPEAKER_37
transcript.pyannote[4823].start 20426.96534375
transcript.pyannote[4823].end 20435.48721875
transcript.pyannote[4824].speaker SPEAKER_31
transcript.pyannote[4824].start 20431.75784375
transcript.pyannote[4824].end 20432.55096875
transcript.pyannote[4825].speaker SPEAKER_31
transcript.pyannote[4825].start 20434.13721875
transcript.pyannote[4825].end 20435.53784375
transcript.whisperx[0].start 148.632
transcript.whisperx[0].end 149.073
transcript.whisperx[0].text 審計部審計部
transcript.whisperx[1].start 1726.207
transcript.whisperx[1].end 1738.924
transcript.whisperx[1].text 主席在這裡宣布現在繼續開會請議事人員先讀今日的議程邀請行政院主計總處陳主計長淑姿、審計部陳審計長瑞敏率所屬單位主管列席業務報告.並備質詢。
transcript.whisperx[2].start 1741.17
transcript.whisperx[2].end 1747.614
transcript.whisperx[2].text 審計部台南市審計處、審計部高雄市審計處部分二、審查中華民國114年度中央政府總預算案有關直轄市及縣市政府調整軍工教育人員待遇準備、災害準備金、地位備金先斷筆。
transcript.whisperx[3].start 1771.912
transcript.whisperx[3].end 1795.393
transcript.whisperx[3].text 首先我先介紹現在在場的委員吳秉瑞委員接著我們介紹議會的政府官員首先先介紹行政院常務副秘書長李國新李副秘書長歡迎我們的主計總處主計長陳淑姿
transcript.whisperx[4].start 1799.721
transcript.whisperx[4].end 1810.425
transcript.whisperx[4].text 我們的主秘徐雅玲綜合規劃處李處長公共預算處許處長基金預算處黃處長會計結算處許處長綜合統計處蔡處長國事普查處潘處長
transcript.whisperx[5].start 1832.018
transcript.whisperx[5].end 1855.196
transcript.whisperx[5].text 主計執行處吳處長、人事處許處長、秘書室楊主任、針鋒室陳主任、主計處詹主任接著我們介紹審計部我們的審計長陳審計長陳瑞敏
transcript.whisperx[6].start 1860.186
transcript.whisperx[6].end 1888.444
transcript.whisperx[6].text 還有我們的副審計長李順寶我們的主秘詹美玲我們第一廳的副廳長陳建仲那我們的第二廳陳廳長第三廳周廳長第四廳洪廳長第五廳我們的林建志林廳長
transcript.whisperx[7].start 1891.223
transcript.whisperx[7].end 1904.573
transcript.whisperx[7].text 第6廳我們的葉廳長我們的副審事王主任接著介紹我們的農研會執行秘書溫執行秘書葉研會然後再來介紹我們的訓委會張執行秘書
transcript.whisperx[8].start 1919.6
transcript.whisperx[8].end 1944.491
transcript.whisperx[8].text 還有我們的關鍵會林執行秘書我們的資訊處邱處長接著介紹我們總務處蕭處長人事室黃主任會計室王主任政風室李主任
transcript.whisperx[9].start 1947.847
transcript.whisperx[9].end 1961.636
transcript.whisperx[9].text 接著介紹我們教榮處我們的李處長那我們的交建處李處長李新理處長接著介紹臺北市審計處我們的張茲權張處長新北市審計處張處長桃園市張處長
transcript.whisperx[10].start 1977.171
transcript.whisperx[10].end 2006.03
transcript.whisperx[10].text 臺中市吳處長臺南市審計處陳處長高雄我們的林處長基隆審計室朱主任宜蘭陸主任新竹縣黃主任新竹市劉主任苗栗縣郭主任
transcript.whisperx[11].start 2008.406
transcript.whisperx[11].end 2034.87
transcript.whisperx[11].text 張化縣謝主任南投縣楊主任雲林縣王主任嘉義縣陳主任嘉義市魏主任屏東縣李主任花蓮縣劉主任台東縣邱主任澎湖縣莊主任
transcript.whisperx[12].start 2036.861
transcript.whisperx[12].end 2040.144
transcript.whisperx[12].text 金銘憲、楊主任財政部國庫屬陳署長人事行政總處副人事長
transcript.whisperx[13].start 2057.179
transcript.whisperx[13].end 2082.634
transcript.whisperx[13].text 本日會議安排一、行政院主計總處及審計部進行業務報告二、審查中華民國114年度中央政府總預算案有關行政院主計總處、審計部及所屬單位直轄市及縣轄市政府調整經公教人員待遇的準備、災害準備金、第二準備金的預算案
transcript.whisperx[14].start 2083.755
transcript.whisperx[14].end 2089.009
transcript.whisperx[14].text 首先我們先請行政院李國興、常秘報告預算案的一個內容
transcript.whisperx[15].start 2095.974
transcript.whisperx[15].end 2116.776
transcript.whisperx[15].text 主席、各位委員、女士、先生今天應邀列席貴委員會並就14年度中央政府總預算案中有關直轄市及縣市一般性補助款災害準備金、第二預備金及調整軍公教人員待遇準備等預算編列情形提出報告自感榮幸謹簡要說明如下
transcript.whisperx[16].start 2117.597
transcript.whisperx[16].end 2144.646
transcript.whisperx[16].text 一、四年度中央對地方財源協助根據一、中央對直轄市補助辦法規定編列一般性補助款予以挹注總共編列了2501億元較一、三年度增加了199億元約增加8.6%以上補助款都是依各直轄市及縣市、人口數、土地面積、學生人數等指標以公式化來加以分配
transcript.whisperx[17].start 2145.606
transcript.whisperx[17].end 2153.714
transcript.whisperx[17].text 均由前述的財源譯注後各職轄市及縣市政府獲配的財源均符合地方制度法第87條之3的規定
transcript.whisperx[18].start 2156.786
transcript.whisperx[18].end 2178.746
transcript.whisperx[18].text 一、災害防救法第57條規定實施該法災害防救的經費由各級政府按鎖定應辦事項依法編列預算一、四年度考量臺灣因未處地震帶及受極端氣候影響各種災害停船且規模逐漸擴大為了及時因應緊急災害之需增編30億元總共編列50億元
transcript.whisperx[19].start 2181.616
transcript.whisperx[19].end 2195.216
transcript.whisperx[19].text 預算法第22條規定第二預備金在總預算中設定之其數額是財政情形決定之經衡酌第二預備金最近3年實際動資的情形14年度編列第二預備金80億元
transcript.whisperx[20].start 2197.452
transcript.whisperx[20].end 2212.322
transcript.whisperx[20].text 考量經濟成長率等各項財經指標都朝正向發展且一三年度稅收情況良好經橫著政府整體財政負擔一四年度軍公教員工待遇適度調整3%
transcript.whisperx[21].start 2213.723
transcript.whisperx[21].end 2241.698
transcript.whisperx[21].text 那中央政府1、4年度調整軍工業人員待遇準備科目編列99億元如果連同補助大學、校院、部立醫院等待遇調整所需經費供需編列122億元那以上編列情形敬請各位委員鼎力支持使各項政務能夠順利推動謝謝並祝各位委員健康愉快好 謝謝那再補充介紹林德虎委員
transcript.whisperx[22].start 2246.557
transcript.whisperx[22].end 2248.659
transcript.whisperx[22].text 請行政院主計總處陳主計長進行業務報告及預算案內容的報告
transcript.whisperx[23].start 2262.157
transcript.whisperx[23].end 2277.288
transcript.whisperx[23].text 主席、各位委員、李士吉先生今天應邀列席貴委員會報告本總處的業務概況還有114年度總預算案編列的情形之感榮幸本總處負責政府的預算、會計決算
transcript.whisperx[24].start 2279.55
transcript.whisperx[24].end 2302.191
transcript.whisperx[24].text 統計調查和主計資訊等所以以下只就重要的一個業務概況和114年度的一個施政計畫重點來提出說明請各位委員指教主計業務辦理的一個概況的部分第一個主要是預算的業務編制完成114年度總預算案送給貴位來審議
transcript.whisperx[25].start 2303.772
transcript.whisperx[25].end 2323.654
transcript.whisperx[25].text 那114年度總預算的籌編過程我們是兼顧國家發展需要和財政穩健的前提下預請行政院的施政方針然後將資源配置於均衡臺灣基礎建設等那所以我們在8月底能夠會編完成送貴院來一個審議
transcript.whisperx[26].start 2325.996
transcript.whisperx[26].end 2347.888
transcript.whisperx[26].text 一百一十四年度中央總預算案稅入編三兆一千五百三十四億元稅出編三兆一千三百二十五億元稅入稅出相抵剩餘兩百零九億支應債務還本一千四百一十五億必須融資調度一千兩百零六億所以舉借債務七百零六月和移用以前年度稅金剩餘五百億予以彌平
transcript.whisperx[27].start 2350.95
transcript.whisperx[27].end 2364.62
transcript.whisperx[27].text 二、編制114年度中央總預算附屬單位預算的部分一、114年度中央總預算附屬單位預算重計表領營業和會議營業的部分總計編列總收入7兆2595億、總支出6兆9848億、淨利2747億及繳庫2270億
transcript.whisperx[28].start 2374.207
transcript.whisperx[28].end 2393.716
transcript.whisperx[28].text 70億所以也是在8月30隨同中央總預算案送大院來審議那我們第三個是編制完成中央前瞻基礎建設第五期特別預算案送請大院來審議前瞻基礎建設特別預算在109年同意編列8400億元期程至114年度總
transcript.whisperx[29].start 2399.779
transcript.whisperx[29].end 2408.162
transcript.whisperx[29].text 一至四期總經費是7,697億以上與703億在編列所以第五期特別預算我們是實施期整114年度稅出總共編列703億包括軌道建設57億、水環境建設218億等所有需的財源全部用舉債來支應也是在本年8月30送請大院來審議
transcript.whisperx[30].start 2426.949
transcript.whisperx[30].end 2450.268
transcript.whisperx[30].text 那詳細的表1、表2請參考表1、表2、表3請參考那在會計決算業務的部分那我們在本年4月30有關那個112年度中央總決算戶屬單位決算總計表中間查驗轉行政部那經審計部於今年的一個7月29完成審定
transcript.whisperx[31].start 2451.329
transcript.whisperx[31].end 2454.792
transcript.whisperx[31].text 深化機關內部控制自我監督機制協助機關強化內部控制監督各項工作實際辦理各相關的教育訓練宣導相關的
transcript.whisperx[32].start 2468.623
transcript.whisperx[32].end 2487.359
transcript.whisperx[32].text 官列、最新的官列和實務的一個做法那在統計調查業務方面我們辦理國民所得一個統計我們在今年的10月31公佈最新的國民所得統計那第三季的經濟成長是3.97那主要是人工智慧AI應用和智通產品
transcript.whisperx[33].start 2487.839
transcript.whisperx[33].end 2489.72
transcript.whisperx[33].text 審計部臺北市審計處、審計部新北市審計處、審計部新北市審計處、審計部新北市
transcript.whisperx[34].start 2507.028
transcript.whisperx[34].end 2509.129
transcript.whisperx[34].text 委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會委員會
transcript.whisperx[35].start 2530.62
transcript.whisperx[35].end 2555.58
transcript.whisperx[35].text 那告一八月預測的3.9那我們在一月二十九將最新的情勢來做更新的一個預測那經濟成長的概換表示請參閱那辦理物價統計的部分那我們是按月實際查價統計那一百一十三年一到十月的消費者物價指數比一百一十二年同期漲2.9那以食物類上漲3.6為最大
transcript.whisperx[36].start 2561.014
transcript.whisperx[36].end 2578.764
transcript.whisperx[36].text 生產者物價指數113年1到4月PPI比112年通期漲1.23,下列相關表格請參閱。辦理人力供需各項抽樣調查,會掌握就業、失業薪資和人力供需資訊等。
transcript.whisperx[37].start 2581.545
transcript.whisperx[37].end 2589.929
transcript.whisperx[37].text 按月辦理人力資源調查和收穫員工薪資調查提供最新的一個勞動市場共新的資訊那113年10月就業人數有1160比112年10月增加5.1失業人數是40.8萬
transcript.whisperx[38].start 2597.133
transcript.whisperx[38].end 2618.712
transcript.whisperx[38].text 年減3千人、失業率是3.4、年降0.03那119年度工業和服務業全體受雇員工薪資每人經常性薪資是46,364比112年同期增加2.72那總薪資平均也增加4.11那經常性的薪資重位數是37,195
transcript.whisperx[39].start 2622.981
transcript.whisperx[39].end 2639.971
transcript.whisperx[39].text 那相關的表格請參閱那辦理基本國事調查的部分那我們完成110年工業和服務業普查報告、課證編制業別和市縣別的一個報告並研擬114年度農林漁牧普查一個構想案方案
transcript.whisperx[40].start 2641.271
transcript.whisperx[40].end 2655.857
transcript.whisperx[40].text 辦理家庭收支調查部或我們按年辦理家庭收支調查並以致俱進透過各部會統計資料精進相關的一個資料品質那112年調查結果每戶可支配所得
transcript.whisperx[41].start 2656.437
transcript.whisperx[41].end 2664.424
transcript.whisperx[41].text 分五組來觀察可知配所最高20和最低20所得差距6.12比111年減0.03經理敘述是0.339比110年度也是微減0.003那這個部分政府的一轉之初所得倍數將達1.37
transcript.whisperx[42].start 2679.232
transcript.whisperx[42].end 2686.235
transcript.whisperx[42].text 如果以每人來觀察每人可知備所的差距的一個倍數是112年是3.81比111年度減0.13那主計諮詢業務的部分是辦理中央和相關地方的預算會計諮詢的業務
transcript.whisperx[43].start 2696.478
transcript.whisperx[43].end 2702.86
transcript.whisperx[43].text 所以我們會將中央和地方相關預算編制、預算執行、會計處理這些的會編業務來做支援的一個整合然後有一個中央政府稅基會計資訊管理系統相關的一個系統
transcript.whisperx[44].start 2714.043
transcript.whisperx[44].end 2738.901
transcript.whisperx[44].text 來做一個徵修推廣和維運管理然後協助各機關完成114年度總預算案附屬單位預算和112年度總決算等相關的一個編制那我們第二個是辦理統計普查資料庫倉儲和開放的業務那我們主要是為推動資料治理確保機敏資料安全所以我們建置主計資料倉儲系統落實資料盤點和分級等一個業務
transcript.whisperx[45].start 2743.544
transcript.whisperx[45].end 2761.143
transcript.whisperx[45].text 一百一三年已過期間的預算執行是一百一三年稅率預算一百三十八萬執行累計時收入是一百四十二萬四千比分配數增加四十二萬六稅數預算數的部分是十三億五千六百一十四萬兩千元
transcript.whisperx[46].start 2761.884
transcript.whisperx[46].end 2787.01
transcript.whisperx[46].text 那截至10月底指分配數10億4千餘萬元累計支付10億350萬7千元那114年度的重要施政計畫重點稅基和會計業務還是一樣強化中程計劃預算制度促進資源有效運用提升支出效率維護財政機率等那配合施政重點我們參佐國外經濟情勢和過去時機未來市場的預估來
transcript.whisperx[47].start 2790.252
transcript.whisperx[47].end 2793.962
transcript.whisperx[47].text 要合編115年中央總預算案附屬單位預算
transcript.whisperx[48].start 2795.723
transcript.whisperx[48].end 2816.268
transcript.whisperx[48].text 及重計表加強各種基金的財務控管然後我們也關注政府會計的一個發展趨勢適時研修我國政府會計決算的相關的規制第四個我們也輔導機關去深化內部集合等監督的業務那在統計和普查抽樣調查業務的部分我們繼續編佈各項物價統計社會保障支出統計國民所得統計等
transcript.whisperx[49].start 2827.12
transcript.whisperx[49].end 2845.051
transcript.whisperx[49].text 在研擬115年工業和物業普查構想的一個方案並辦理114年農林普查、試驗調查、人口和住宅普查方法的一個研析在主計諮詢業務方面我們持續推動中央地方共用稅計、會計諮詢系統協助各級政府、公務機關、特種機關如期編制115年度總預算案
transcript.whisperx[50].start 2850.874
transcript.whisperx[50].end 2859.257
transcript.whisperx[50].text 那114年度預算的編列情形稅入還是114年度本處稅率稅入編列138萬8千元以113年度同那稅出的部分是編列14億6643萬1千元比去年增加1億1028萬主要是辦理農林漁業補查和試驗調查還有相關的一個調薪跟業務計劃和經費分數如下那請參閱
transcript.whisperx[51].start 2881.766
transcript.whisperx[51].end 2904.284
transcript.whisperx[51].text 那大院第11屆委員會主辦的一個事項大院第11屆第一議會期委員會第三次和第14次全體委員會議員就本總處業務報告所提諮詢均與會後答覆則共持一項均與答覆貴委員會及相關委員在案以上為本處近期工作推展情形
transcript.whisperx[52].start 2905.285
transcript.whisperx[52].end 2934.202
transcript.whisperx[52].text 之後將持續推進主計業務、換會主計人員決策工旅以協助推動各項業務再來我繼續報告就是有關114年度直轄市和縣市一般補助災害準備金、第二預備金和調整軍公交人員待遇準備的一個情形報告那第一個就是110年度我想主計長是先簡單扼要的一個報告好不好好
transcript.whisperx[53].start 2935.243
transcript.whisperx[53].end 2938.045
transcript.whisperx[53].text 法定人數不足
transcript.whisperx[54].start 2942.199
transcript.whisperx[54].end 2960.554
transcript.whisperx[54].text 那這個部分就是說114年度編列直轄市和縣市一般補助2501災害准備金50億第二億備金80億及調整軍工匠人員大役99億那這個部分我們分數如下第一個直轄市一般性補助款編列2501比去年增加199億約8.6
transcript.whisperx[55].start 2967.76
transcript.whisperx[55].end 2974.985
transcript.whisperx[55].text 請參閱。主要項目有教育補助659億、基本設施補助483億、社會福利補助617億、其他基本支出補助222億、平衡預算補助520億、那預注以後各縣市貨幣財源均比100以前的改制前的增加
transcript.whisperx[56].start 2988.267
transcript.whisperx[56].end 3009.758
transcript.whisperx[56].text 災害准備金部分我們依規定編列今年編列50億比去年增加30億第二預備金的部分我們今年編列80億比去年增加6億軍公教調整待遇的部分總共是編列99億這個部分有分為
transcript.whisperx[57].start 3013.861
transcript.whisperx[57].end 3032.435
transcript.whisperx[57].text 統籌的科目是99億那縣市就是補助大專院校有23億那所以這個部分補助縣市的部分是90億還有特別統籌支應10億地方負擔50億那以上的一個報告敬請各位委員指教和支持謝謝好謝謝我們接著請審計部陳審計長進行業務及預算內容的報告
transcript.whisperx[58].start 3043.666
transcript.whisperx[58].end 3046.911
transcript.whisperx[58].text 那個審計長那個二要的報告好謝謝
transcript.whisperx[59].start 3049.844
transcript.whisperx[59].end 3073.245
transcript.whisperx[59].text 主席、各位委員、女士、先生今天應邀列席貴委員會報告審計部業務概況及114年度預算案編列情形注感榮幸本部依法掌理政府及首屬機關財務之審計多年來承蒙大院委員的支持與鼓勵各項審計工作均能按照計畫執行藉此
transcript.whisperx[60].start 3074.326
transcript.whisperx[60].end 3084.378
transcript.whisperx[60].text 竟表由衷的感謝113年度依法審核中央和地方7950個機關單位收支金額兩兆以延遲執行之將審計業務、辦理概況及114年度預算編列情形檢要報告如此
transcript.whisperx[61].start 3093.589
transcript.whisperx[61].end 3113.064
transcript.whisperx[61].text 一、審計業務辦理概況一、完成112年度總結算及特別結算之審核一、112年度中央政府總結算及附屬單位結算及重計表中央政府嚴重特殊傳染性肺炎防治及紓困振興特別結算本部以依法
transcript.whisperx[62].start 3114.656
transcript.whisperx[62].end 3127.527
transcript.whisperx[62].text 依憲法第105條規定期限完成審核。祝各縣市政府年度總預算一經各地方審計處事在法定期限內完成審核。提出重要審核意見2397項。
transcript.whisperx[63].start 3134.212
transcript.whisperx[63].end 3157.82
transcript.whisperx[63].text 二、完成113年度中央總預算半年結算之查核本部以依依結算法第26條之一規定期限完成查核並於113年9月27日提出半年結算查核報告於大院且各主轄市政府半年結算已經本部各地方
transcript.whisperx[64].start 3159.28
transcript.whisperx[64].end 3169.424
transcript.whisperx[64].text 審計處在法定期限內完成查核提出重要查核意見63項三、審計綜合績效113年度各項審計業務執行結果截至10月底子審核各機關112年度結算依法修正稅率收入結算增累14億元減累11億元
transcript.whisperx[65].start 3184.485
transcript.whisperx[65].end 3208.395
transcript.whisperx[65].text 依法修正稅出、租出決算暨增列28億元、減列44億元二、績效性審計考核各機關之績效報告監察案者53案提出重要建議改善意見於各機關者共計280項任何有可能提升效能增進公共利益提出建議意見923項提出議警性意見224項
transcript.whisperx[66].start 3214.517
transcript.whisperx[66].end 3233.277
transcript.whisperx[66].text 三、稽查財務上次維修、報請監察案處理者10案、移送司法機關遵辦者6案、通知各機關查明處分者111案。四、更系優化審核報告編報架構及報導方式,除系深化、發展重要施政議題的查核專章。
transcript.whisperx[67].start 3234.438
transcript.whisperx[67].end 3256.957
transcript.whisperx[67].text 二、推動審核報告、過列結算審定表的電子化。三、專章後編行政機關優良實務案例的推廣擴散情形。五、積極推動數位審計的發展與應用,除息建構、雲端資料中心、應用人工智慧AI技術、應用新興資通信科技。
transcript.whisperx[68].start 3263.142
transcript.whisperx[68].end 3276.472
transcript.whisperx[68].text 護族、世衛審計人力六、更系推展公民差異審計強化諸行專家協助徵詢民眾意見近3年度已完成專家諸行計4,478次公開徵詢民眾意見建設計91件
transcript.whisperx[69].start 3287.082
transcript.whisperx[69].end 3294.265
transcript.whisperx[69].text 二、透過網站主動提供審計資訊。第三年發布1689個重要審計資訊。七、年度施政計劃及預算執行進行。110年度施政計劃既有22項重要計劃項目均按一定規劃辦理。
transcript.whisperx[70].start 3307.912
transcript.whisperx[70].end 3335.135
transcript.whisperx[70].text 二、本部及所屬113年度預算執行情形本部及所屬113年度稅出預算截至10月底值累計分配14億億元累計支付13億億元佔分配次的94%二、114年度施政計畫重點六、實監督一、履行財務課則、強化洞察、增進公共利益、邁向前瞻、順化助理縱效
transcript.whisperx[71].start 3336.598
transcript.whisperx[71].end 3361.896
transcript.whisperx[71].text 四、創新思維進行承得導向。三、114年度預算案編列情形稅入部分本部及所屬114年度稅入預算共編列251萬元。二、稅出部分本部及所屬114年度稅期預算案共編列18億元。按各機關單位預算分數如下,審計部的單位預算編列13億元。
transcript.whisperx[72].start 3364.158
transcript.whisperx[72].end 3367.041
transcript.whisperx[72].text 臺北市審計處單位預算編列8457萬元新北市審計處單位預算編列7043萬元臺北市審計處單位預算編列6647萬元臺中市審計處單位預算編列7399萬元
transcript.whisperx[73].start 3385.442
transcript.whisperx[73].end 3388.104
transcript.whisperx[73].text 審計部臺南審計處單位預算編列6912萬億元、高雄市審計處單位預算編列8335萬元
transcript.whisperx[74].start 3397.087
transcript.whisperx[74].end 3415.397
transcript.whisperx[74].text 審計工作的主要目的在於促使政府健全財務秩序、匡正財務紀律、增進財務效能以協助國家良善助理本部當初期加強推動各項審計業務以善計審計職責以上報告僅請主席、各位委員、理事、先生、主教謝謝
transcript.whisperx[75].start 3417.018
transcript.whisperx[75].end 3439.971
transcript.whisperx[75].text 好,謝謝沈記長,現在開始詢答先作以下的先告每位出席的委員花言時間是8分鐘,必要的時候得以延長2分鐘每位列席的委員花言時間是4分鐘那今天上午10點,那個截止花言登記現在依登記的一個順序,請登記第一位的林德虎委員質詢
transcript.whisperx[76].start 3448.945
transcript.whisperx[76].end 3448.965
transcript.whisperx[76].text 陳審計長陳主計長
transcript.whisperx[77].start 3467.594
transcript.whisperx[77].end 3490.529
transcript.whisperx[77].text 委員好主席長你好主席長我想最近有媒體報導由於AI熱潮加持出口表現優於預期那明年成長的展望有機會從8月那時候預估3.26%上修但是川普宣布將在明年1月20號上任後對墨西哥課徵25%關稅那恐會重創高度集中
transcript.whisperx[78].start 3496.673
transcript.whisperx[78].end 3514.876
transcript.whisperx[78].text 當地的臺灣AI的這些伺服器的供應鏈那我請問主計長這個主計總處的經濟成長預估是不是有評估過川普關稅避雷政策對臺灣影響下最後所呈現的數字有沒有
transcript.whisperx[79].start 3515.803
transcript.whisperx[79].end 3530.199
transcript.whisperx[79].text 因為我們初步的評估就是這個部分的影響大概會在2026以後才會比較有展現出來所以初期的部分初估以目前來講我們8月份預估是經濟成長113年是3.9但是可能
transcript.whisperx[80].start 3534.624
transcript.whisperx[80].end 3561.132
transcript.whisperx[80].text 以第四季的狀況如果維持的話以前三季的表現狀況我們大概應該是有望來能夠再往上提升因為亞洲開放銀行9月下旬曾經指出臺灣出口成長都集中在AI相關的產品再加上地緣政治的風險恐怕會對出口及成長造成下行的風險
transcript.whisperx[81].start 3564.534
transcript.whisperx[81].end 3575.561
transcript.whisperx[81].text 請問主計長國內目前是不是除了AI相關產業有成長的前景外其餘產業是不是都面臨停滯而且負成長
transcript.whisperx[82].start 3576.994
transcript.whisperx[82].end 3603.817
transcript.whisperx[82].text 是不是這樣子?沒有,因為目前第一個就是說在投資的一個成長方面我們也是很好了那再來就是消費的部分也是至少成長也不錯那你認為其他產業都還不錯是吧?以目前來講它的狀況是一直逐漸在復甦當中復甦當中?那其他產業?船廠也是這樣也有一直逐漸尤其投資的一個部分它都有成長很顯著的一個成長
transcript.whisperx[83].start 3604.417
transcript.whisperx[83].end 3623.386
transcript.whisperx[83].text 因為其他產業的競爭力如果沒有辦法同時提升那對國內貧富差距的改善、薪資結構的合理化未來的情況是不是會變得更困難?會不會?因為以我們目前薪資的一個預估加上我們現在這裡從政府帶頭
transcript.whisperx[84].start 3626.545
transcript.whisperx[84].end 3648.459
transcript.whisperx[84].text 我們是把那個相關的一個約僱人員相關那個受僱員工的一個相關的一個薪資比如說承攬契約的我們都逐漸調到除了基本薪工資調整之外我們也調到了三萬一所以整個帶頭來帶領企業把薪資來整個提升所以原則上應該不會因為我們一到九月都是成長的
transcript.whisperx[85].start 3649.88
transcript.whisperx[85].end 3659.093
transcript.whisperx[85].text 主計長因為媒體報導主計總處在今年4月公布國人家庭財富分配的調查報告因為兩個關鍵數字的增減印證一直以來多數人的憂心
transcript.whisperx[86].start 3665.242
transcript.whisperx[86].end 3665.602
transcript.whisperx[86].text 委員會主席
transcript.whisperx[87].start 3682.057
transcript.whisperx[87].end 3698.039
transcript.whisperx[87].text 那有幾個問題我想請教主計長請問主計長對於中產階級的形式和實質你認為應該數十年不變還是必須隨著時代社會的改變而有所變化你的看法
transcript.whisperx[88].start 3698.817
transcript.whisperx[88].end 3726.638
transcript.whisperx[88].text 我再跟委員報告就是我們那個國戶調查那個部分30年的調查的方法和現在的調查的方法是不一樣兩個數據你用來比較那這是因為比較的基礎不一樣所以兩個導致結果那另外一個就是所謂講到的所謂的集體係數的一個問題那是一般這種一個差距我們跟外國一些相關的比較我們也不是最高的那你認為
transcript.whisperx[89].start 3727.819
transcript.whisperx[89].end 3738.643
transcript.whisperx[89].text 你認為30年前跟30年後這個整個就是30年前的中產階級跟30年後現在的中產階級你認為有哪些狀況的差異呢?
transcript.whisperx[90].start 3742.079
transcript.whisperx[90].end 3770.368
transcript.whisperx[90].text 因為這個部分像我們比如說我們現在都是用實際用資料庫的一個數據去做整合嘛那所以相當的數據就會比較精準那這以前30年度做調查的一個基礎他可能在調查的過程中很多的數字是比較粗略的那所以這兩個是不可同日而已但是你這種的一個差距那是一個自由經濟發展必然的一個趨勢也是一定是有相關的一個這樣的一個結果啦
transcript.whisperx[91].start 3772.209
transcript.whisperx[91].end 3782.773
transcript.whisperx[91].text 所以也是必須再來加上我們一些將來一些房產的一些相關的一個成長這部分也是必然會有一些的一個差距主計長因為那個
transcript.whisperx[92].start 3786.938
transcript.whisperx[92].end 3795.622
transcript.whisperx[92].text 從疫情開始到結束直到現在因為整個經濟情況的惡劣中產階級面臨緩貧的這種現象而主計總處今年的國人家庭財富分配調查報告也讓外界對過國
transcript.whisperx[93].start 3808.669
transcript.whisperx[93].end 3815.034
transcript.whisperx[93].text 國內出現中產階級緩貧現象的一些質疑請問主計長你認為臺灣社會有沒有中產階級緩貧的這種趨勢?因為目前來看其實並不是那麼的明顯如果有你認為這主要的原因是什麼?
transcript.whisperx[94].start 3831.052
transcript.whisperx[94].end 3856.867
transcript.whisperx[94].text 那這個部分我們也是要去做進一步的研究和探討然後相關的一個如果需要有相關的一個政策來因應這我們也會提出來建議因為如果要是沒有那為什麼臺灣30年貧富差距會拉大而且所謂中產階級收入支出的能力沒有辦法因為各種物價成長的能力也跟著增加現在是這種問題
transcript.whisperx[95].start 3858.937
transcript.whisperx[95].end 3872.409
transcript.whisperx[95].text 事實上如果說薪資的一個成長的部分即使我們薪資的成長是已經高過物價但是有高過物價嗎?有,一到九月的部分成長有高過物價因為中國經濟出現中產反貧的現象中產階級或許和臺灣經濟不能相提並論但是臺灣社會貧富差距
transcript.whisperx[96].start 3884.419
transcript.whisperx[96].end 3901.913
transcript.whisperx[96].text 讓中產階級實質的收支能力可以說是30年啦!瘦身有成啦!那我請問主計長你認為臺灣貧富差距有沒有縮小的可能?有沒有辦法?事實上我們是以我們家庭收支在調查我們這個
transcript.whisperx[97].start 3903.974
transcript.whisperx[97].end 3931.533
transcript.whisperx[97].text 譬如說以五等位來分的話這中間的差距是在縮短然後我們也有透過一些相關的一個福利政策所以我們會讓這些移轉的支出來輔助說讓我們這些的一個差距能夠再縮短那你認為未來會不會越來越大換句話說就是算沒有緩貧是不是有可能這個因為貧富差距過大讓中產階級逐漸的消失會不會這種狀況
transcript.whisperx[98].start 3933.034
transcript.whisperx[98].end 3961.494
transcript.whisperx[98].text 應該也不至於但是現在我們政策的部分我們可以針對這個部分來做一個加強讓它不會有發生這樣的一個現象主計長因為中產階級的憂心是如何拉高薪資是絕對的關鍵那因為家庭財富的堆疊薪資所得絕對是重要的成分30年來貧富差距拉大是事實那中產階級整個收支萎縮也是事實
transcript.whisperx[99].start 3962.535
transcript.whisperx[99].end 3976.001
transcript.whisperx[99].text 那多數中產階級薪資所得停職更是事實對於中產階級薪資所得成長的停職這個收支能力萎縮的現況我請問主計長你認為這種狀況是不是不可逆
transcript.whisperx[100].start 3981.556
transcript.whisperx[100].end 3996.112
transcript.whisperx[100].text 是不是不可逆?應該也不會啦,這個也是我們努力的一個方向那如果是,那是不是可以宣告中產階級消失?如果不是,那請問政府解荒到底是要怎麼做?
transcript.whisperx[101].start 3996.713
transcript.whisperx[101].end 4009.62
transcript.whisperx[101].text 所以政府都帶頭在調薪所以本身只有調薪一途就對了那還有一個相關的一個就是本身因為其實我們薪資的一個結構主要是因為我們的產業的結構不一樣現在都投資在
transcript.whisperx[102].start 4012.141
transcript.whisperx[102].end 4027.85
transcript.whisperx[102].text 資本的一個投資所以在薪資的方面佔比就會比較偏低那這個部分呢因為也是時事所趨啦但是這個部分我們也是盡量能夠說希望能夠鼓勵各產業能夠來提高相關的一個薪資這幾個部分都有在討論
transcript.whisperx[103].start 4028.59
transcript.whisperx[103].end 4049.565
transcript.whisperx[103].text 因為面對薪資結構的問題國安會主委劉靜清表示光是拉抬基本工資改變不了結構就本席了解政府目前所採取創造並培養更多高薪就業機會透過增加的稅收來加強社會福利來補足、附加
transcript.whisperx[104].start 4050.886
transcript.whisperx[104].end 4074.228
transcript.whisperx[104].text 價值、低競爭力的這些產業負擔那我請問主計長這種節償補短的做法你認為是治標還是治本因為這種是要有一個鼓勵啦鼓勵產業所以一般國化會他會有一個相關的補助補助產業他或者是相關的補助薪水來提高一些員工的薪水我覺得這部分也是可行的
transcript.whisperx[105].start 4074.69
transcript.whisperx[105].end 4085.646
transcript.whisperx[105].text 那長遠來看如果只能治標沒有辦法一籠聚籠那請問這種捕破網的做法是不是只能繼續下去依您看法
transcript.whisperx[106].start 4086.577
transcript.whisperx[106].end 4104.748
transcript.whisperx[106].text 原則上我們就是在現有的一個裁員下我們盡量能夠做到讓這個部分能夠盡量來改善這個部分這樣齁 主計長我最後一個問題齁臺南市議員執行提到感嘆吃不起臺南一顆高麗菜210塊喔
transcript.whisperx[107].start 4107.149
transcript.whisperx[107].end 4122.061
transcript.whisperx[107].text 據本席了解,似乎癥結在於品種但是價格決定更是取決於市場國內這幾年的物價波動的狀況從原產地到終端零售似乎不時有爭議的狀況
transcript.whisperx[108].start 4124.758
transcript.whisperx[108].end 4139.97
transcript.whisperx[108].text 那像這幾年蛋價、菜價的異常價格的頻傳那請問主計長你認為問題是出在哪裡是供需的私人還是供給銷售部透明你認為呢?
transcript.whisperx[109].start 4141.084
transcript.whisperx[109].end 4168.814
transcript.whisperx[109].text 因為供需的部分其實主要是受到颱風的影響或者一些那個災害的影響所以會有一些比較偏高但是經過過後以後大部分都回復到原來那這個部分可見我們在供需上其實是沒有問題的那你認為像行政院穩定物價小組對解決這些異常物價的事件到底能不能事先有一個預防或者是只能夠收拾善後
transcript.whisperx[110].start 4169.811
transcript.whisperx[110].end 4181.262
transcript.whisperx[110].text 因為他都事先會做一些的一個調整包括油價的部分這個部分都會進行討論然後提出相關的一個對策所以這個部分也是一直都在進行中那個主計長因為你原來
transcript.whisperx[111].start 4184.765
transcript.whisperx[111].end 4184.805
transcript.whisperx[111].text 吳炳瑞委員質詢
transcript.whisperx[112].start 4221.052
transcript.whisperx[112].end 4221.572
transcript.whisperx[112].text 財政部國務署陳署長
transcript.whisperx[113].start 4237.386
transcript.whisperx[113].end 4265.209
transcript.whisperx[113].text 委員好我看了你們今天財政部的報告那裡面有寫到最近五年就是108年度到112年度整體地方政府財政收支決算審定數都有剩餘是總數剩餘嗎總數剩餘有沒有個別縣市比較特別的應該有一兩個縣市是減少金門跟桃園是減少
transcript.whisperx[114].start 4265.988
transcript.whisperx[114].end 4291.672
transcript.whisperx[114].text 是虧損什麼是有那個短處總數是剩餘總數是剩餘那怎麼樣的縣市會短處金門跟桃園金門的財政狀況這麼好他也在短處他可能因為金門、桃園大概都是近幾年他們一些公共建設支出項目比較多金門的公共建設還是金門的社會福利高於其他的縣市這個
transcript.whisperx[115].start 4295.069
transcript.whisperx[115].end 4296.431
transcript.whisperx[115].text 因為統計的數字是整體的這五年來有119億到608億元之間的這個
transcript.whisperx[116].start 4305.8
transcript.whisperx[116].end 4317.224
transcript.whisperx[116].text 這個剩餘另外整體地方政府財政的比例由103年103年其實是10年11年前然後到112年就整個10年間它的占比從5.56%的負債降到3.69%所以得出結論說地方財政狀況已有改善那我就要問一個問題每一年都剩餘
transcript.whisperx[117].start 4336.172
transcript.whisperx[117].end 4362.934
transcript.whisperx[117].text 那如果沒有說要多做什麼事啊從中央要多撥要現在他們那個財政收支劃分法一口氣要拿那麼多錢去啊是要幹什麼啊就已經剩餘了啊是啊就已經有錢了啊啊有錢了還要多拿六千多下去啊每一個管理局分分的如果你事權沒有下放光拿這個錢去是要幹什麼如果目前的事權沒有改變的話
transcript.whisperx[118].start 4365.264
transcript.whisperx[118].end 4370.968
transcript.whisperx[118].text 目前大概就是去降低他的我想說這個應該有政務官來回答請主計長主計長你剛有聽到政府年來平均的總體
transcript.whisperx[119].start 4387.233
transcript.whisperx[119].end 4414.44
transcript.whisperx[119].text 有100多億到600多億之間的盈餘當然這麼多的縣市少數因為公共建設支出比較多一兩個縣市有minus其他都是plus連續五年都這樣那我剛剛那個問題如果你事權沒有下放現在依照統籌分配稅款的這些版本要多拿6000多億去是要幹什麼
transcript.whisperx[120].start 4415.532
transcript.whisperx[120].end 4432.659
transcript.whisperx[120].text 是,這個部分我再補充說明一下這個部分如果說6000多億分下去因為它又指定說補助一般縣市2501又要維持那這樣子就有將近9000多億要下放到地方那這個部分我們會談到的就是說其實這樣總數會達到21%
transcript.whisperx[121].start 4436.441
transcript.whisperx[121].end 4454.998
transcript.whisperx[121].text 財源21會移到地方去但是我們相對的其實當初當初裡面有11%是屬於省政府的業務那事前並沒有相對跟著移走所以這個部分就會影響到很大所以你聽清楚我的問題再回答嘛我就去說過去的5年每一年的地方的政府
transcript.whisperx[122].start 4456.699
transcript.whisperx[122].end 4476.106
transcript.whisperx[122].text 財政總數從119億到648億那長期的債務也從5.56%降到3.69個百分點也降了很多了等於是降到五分之二了剩下原來的五分之三了財政狀況一直在好轉
transcript.whisperx[123].start 4477.659
transcript.whisperx[123].end 4500.547
transcript.whisperx[123].text 那我舉個例子某個縣市今年連續5年財政都是正的結算之後都是正的這個時候如果市權不增加突然之間要給他很多錢那他要怎麼辦我也不知道這個政府要怎麼辦啊因為市權如果沒有增加他拿到那麼多錢他要花到哪裡去啊
transcript.whisperx[124].start 4501.398
transcript.whisperx[124].end 4529.241
transcript.whisperx[124].text 因為以我們來出估就是如果說他用我們統籌統籌分配稅和一般縣市補助下去他自己自有的財源都不用用他自己的財源就會多出來那多出來這個部分沒有相關的事權下去去分配那包括全民健保還有包括老農津貼這相關的經費現在都是中央但是這涉及到修正相關的一個法規這個包括那個地質法包括那個
transcript.whisperx[125].start 4529.921
transcript.whisperx[125].end 4558.022
transcript.whisperx[125].text 所以我一再在這邊講說錢跟權事跟要做的事跟你要用的錢要整體考量而不是光只有考慮於錢那事情大家沒有分配那這個時候你突然之間增加那麼多錢你也不知道要怎麼用啊因為我們這個不是說我可以把它拿到銀行去存那個概念不能夠用個人的理財來看一個政府
transcript.whisperx[126].start 4559.316
transcript.whisperx[126].end 4560.577
transcript.whisperx[126].text 好 那先請妳回座是 謝謝來 請陳審計長好 審計長委員好
transcript.whisperx[127].start 4572.813
transcript.whisperx[127].end 4592.981
transcript.whisperx[127].text 我看你的那個結算報告各個縣市的財政狀況最糟糕的還是苗栗縣對縣市來講對啦縣市啦他不但這個長期就一年以上的非自償債務所謂的我們現在講的償債是207億他甚至為了要去
transcript.whisperx[128].start 4595.291
transcript.whisperx[128].end 4614.938
transcript.whisperx[128].text 復合那個規範一年以下的就是未滿一年的這個債務所謂的短債它有143億事實上短債這麼多它是匪夷所思的因為它的短債就比它的幾乎要跟它一年之間的縣政府的預算要相同那現在總統常債短債加起來350億這樣算是財政有改善了嗎
transcript.whisperx[129].start 4619.704
transcript.whisperx[129].end 4647.882
transcript.whisperx[129].text 他最慘的時候最低迷的時候是400多億所以400幾億差不多102年的400是改善了一些但是進度很慢而且離目標還很遠是不是離目標還很遠離那個要行政院的財政控管還有一段距離行政院控管他的財政那你們審計部對這樣的事情有什麼樣的看法到底什麼時候他才能夠正常
transcript.whisperx[130].start 4648.649
transcript.whisperx[130].end 4677.537
transcript.whisperx[130].text 因為像處理這個我以前像這種有時候都出來的特別統籌會不會可以稅款下去的時候有時候中央有時候要主定他還債中央指引還債會員他就會很窮他就跟你講說我年中獎金發不出來我什麼東西讓不出來公關工程的那個到期款我都付不出來等於我們要支付轉給我們行政專案還替他付
transcript.whisperx[131].start 4678.337
transcript.whisperx[131].end 4706.043
transcript.whisperx[131].text 那個特別統籌的時候是另外增加出來的有時候財政狀況好的時候像說稅收增加的時候實際收入數比預算數增加很多的時候類似我們今年其實每一年的年底這幾年都一樣都還會有一條特別的錢給這些縣市政府這個時候你建議要強制他還債這個錢因為他有欠人擔保債還有超過那個法定債限所以像這種的就要給他還債
transcript.whisperx[132].start 4706.883
transcript.whisperx[132].end 4728.794
transcript.whisperx[132].text 那這有沒有法律的依據?這個行政院下公示的時候就要早期啊我們就像那個健保欠債的時候我們下公示說先玩健保好那我相信主計長在這邊他也有聽到這個建議當然這是審計部的意見再來也不是只有我們苗栗市的宜蘭縣的財政任務看起來也很不行
transcript.whisperx[133].start 4729.914
transcript.whisperx[133].end 4747.457
transcript.whisperx[133].text 他已經從管住現在已經我們的審計處有通知他說你有現金你有負債你把它還了後來現在他已經脫離這個債限管住可是你知道嗎他一年以上的這個資產債務的餘額他現在償債就是109億短債還有70億總共183億遠超過他一年的預算
transcript.whisperx[134].start 4757.329
transcript.whisperx[134].end 4758.17
transcript.whisperx[134].text 這個我們還在繼續管控讓我們的宜蘭縣審計處看到有機會的時候就要它還債
transcript.whisperx[135].start 4766.912
transcript.whisperx[135].end 4791.867
transcript.whisperx[135].text 那我在這邊很多年都一直跟你講苗栗縣它非正式編制員工的那一些約聘、雇還有工友、技工什麼東西用太多那個部分的管控怎麼樣呢那個是現在1000多人有增加100多人但是我們查了以後是因為它是都是增加社工人力社會安全網的人力我們這是中央主定它要增加所以相對
transcript.whisperx[136].start 4792.968
transcript.whisperx[136].end 4813.985
transcript.whisperx[136].text 中央要下去的時候可能要叫他一併檢討也不要說一下子增加這麼多當然啦當然這個是要慢慢檢討但是以前就是已經提了非常多年了他以前就一再的被指出他這個你剛剛講說中央要他加的那個不算在這個編制內那個算是他合法的編制內的喔我講的是合法編制外的還一大堆啊一千多人
transcript.whisperx[137].start 4815.113
transcript.whisperx[137].end 4829.043
transcript.whisperx[137].text 所以這些部隊也拜託你們審計單位也要注意這個事情啊要不斷的提醒他差不多每人都給他審計意見給他審計意見他如果不參考也沒有用請監察院來調查一下我們會把這個案子呈報監察院好謝謝你齁加油齁好謝謝好謝謝秉瑞委員接著我們請賴世保委員質詢
transcript.whisperx[138].start 4859.46
transcript.whisperx[138].end 4860.641
transcript.whisperx[138].text 有請主計長主計長委員好主計長委員好
transcript.whisperx[139].start 4876.385
transcript.whisperx[139].end 4890.895
transcript.whisperx[139].text 這個針對美國的總總統川普說要針對十大的進口國都賺美國很多錢包括最多的墨西哥、中國大陸、加拿大、德國等等臺灣在裡面
transcript.whisperx[140].start 4893.527
transcript.whisperx[140].end 4918.882
transcript.whisperx[140].text 科的關稅現在一般來講科10%到25%一般估算對臺灣可能會科10%臺灣目前大概科3%左右要加到10%這個對GDP會不會有影響它是會有影響但是問題對我們會不會有影響會有影響但是問題你們有沒有估算過它如果科10%有多少
transcript.whisperx[141].start 4920.217
transcript.whisperx[141].end 4932.313
transcript.whisperx[141].text 這個部分目前還沒有因為大概他影響數會產生在影響會在115年來顯現那這個部分到時候我們也會進行估算相關的一個估算現在還沒有估算對臺灣是利多還利空
transcript.whisperx[142].start 4936.238
transcript.whisperx[142].end 4960.72
transcript.whisperx[142].text 應該都有啦兼併啦不是說一次都是利空或者是利多這樣子還是應該...可是我們的其他官員都說是其他官員都說是利多咧說啊都靠別人的所以台灣不會靠到轉單給我們絕對是利多影響的層面目前還必須要再觀察啦會不會有全程、全球的同盟
transcript.whisperx[143].start 4963.349
transcript.whisperx[143].end 4989.431
transcript.whisperx[143].text 呃這個部分也是應該要看後面他一個整個的你是說1997年亞洲金融風暴怎麼產生的嗎?泰國豬開始大幅貶值貶了50%亞洲的貨幣全部近鄉相貶產生亞洲金融風暴現在看起來會有這個味道喔因為中國大陸已經說了如果美國真的真的課
transcript.whisperx[144].start 4990.959
transcript.whisperx[144].end 5012.439
transcript.whisperx[144].text 不要多20%以上的關稅他們GDP會減少一趴中國大陸他們就用貶值啊人民幣貶值來跟你對付各國都會你扣我關稅我就貶給你看讓我的東西相對便宜你幫我加關稅嘛我就貶給你看
transcript.whisperx[145].start 5017.045
transcript.whisperx[145].end 5034.363
transcript.whisperx[145].text 所以這邊是全球會競相的貶他的貨幣以至於你可以看喔從川普當選到現在幾乎美金獨搶道理在這裡我很擔心啊各國的貨幣競相的銷貶臺幣最近也在貶啊臺幣在貶啊這個你擔不擔心啊
transcript.whisperx[146].start 5040.709
transcript.whisperx[146].end 5067.605
transcript.whisperx[146].text 我們還是應該要有積極作為啦而不是說在那邊擔心當然我們必須要事先有些相關的防範的措施那然後再看你認為今年GDP可以到多少今年GDP因為我們今年GDP大概初估當初在8月時候初估是3.9啦現在呢因為狀況現在不錯所以會往上修但是我們目前在大概應該明後天會做一個花佈所以應該今年會超過4%
transcript.whisperx[147].start 5071.027
transcript.whisperx[147].end 5084.956
transcript.whisperx[147].text 超過4%今年CPI呢?CPI目前因為我們大概預估是2.19到2.17左右2.1 因為超過楊金榮總裁的百分之二目前來講因為幾個颱風連續來影響是有一點在蔬果方面我們來看請那個審計長一起上來好不好主計長先不要離開
transcript.whisperx[148].start 5103.615
transcript.whisperx[148].end 5124.506
transcript.whisperx[148].text 委員好審計長不然那個主計長一起先問主計長是請問你啊勞動部你有沒有主計室的主任有沒有有有主計條片勞發署有沒有主計處的主任有沒有有
transcript.whisperx[149].start 5125.746
transcript.whisperx[149].end 5152.276
transcript.whisperx[149].text 每分署有沒有主計處的主任有沒有?有!好!每分署每個月3萬塊電費為了謝宜柔她就這樣整個漂亮漂亮漂亮這樣電費一共要開3萬你們的主計主任是幹什麼的啊?為什麼給他用呢?我們的主計各個單位的主計主任等於是擺設了首長要怎麼用就怎麼用
transcript.whisperx[150].start 5154.177
transcript.whisperx[150].end 5172.688
transcript.whisperx[150].text 離得不離你們:而且拉發署還用安定基金400萬去辦演唱會替徐明初辦演唱會啊你們的主任是幹什麼的啊?執辦的啊?你們的主任啥事也不做這個錢要經過主計是同意耶主計長啊,要經過主計是同意耶
transcript.whisperx[151].start 5179.228
transcript.whisperx[151].end 5207.95
transcript.whisperx[151].text 一般電費來講的話啦你們都不管喔不是因為它是業務單位提出來核銷嘛那我們就一個內部審核就它一個內容進行審查還有包括有審查嗎根本沒有審查啊這是現在的主計派各個單位的主計是形同虛設讓各個單位的首長予取予求目前是這個樣子啊
transcript.whisperx[152].start 5209.065
transcript.whisperx[152].end 5235.848
transcript.whisperx[152].text 他可以用4百萬辦演唱會而且挪用了勞動基金請問可以挪用勞動基金嗎?可以嗎?這個部分就是因為他勞動基金他本身也有編列啦編列媒體的一個宣傳會啦那是媒體宣傳喔許民村的演唱會是媒體宣傳喔這麼偉大喔這個部分因為他本身當初這一個在現在被剪掉調查了啊你們是是我們還沒做調查結果你們的主計
transcript.whisperx[153].start 5237.689
transcript.whisperx[153].end 5251.896
transcript.whisperx[153].text 主計、主計長啊你要去整頓一下各單位的主計是形同虛設啊是等於不好啊我們會加獎加獎行政單位的首長要怎麼用就怎麼用你們坑都不敢坑一聲來請教審計長好委員好
transcript.whisperx[154].start 5255.871
transcript.whisperx[154].end 5281.96
transcript.whisperx[154].text 我就請教你啊毛暴鼠用了400萬用暗定基金可不可以?可不可以用對不對?我們在查我們在瞭解什麼時候可以出來?因為這個我們已經函行給他差不多因為函行他要看他的資料來以後我們會分析、會研究、會做一個速達的處理
transcript.whisperx[155].start 5283.686
transcript.whisperx[155].end 5309.788
transcript.whisperx[155].text 一個北府署的署長他的裡面的弄了一些水水的這樣一個月3萬的電費你們可以接受嗎?這個我們還沒就完全了解因為我們公文已經去了資料還沒來所以我大概一般什麼時候可以出來?差不多一個月內會出來一個月會的話現在檢調已經介入調查了我們會檢日如果有那個我們會訂送檢調處理
transcript.whisperx[156].start 5312.51
transcript.whisperx[156].end 5335.327
transcript.whisperx[156].text 你自己審計長做這麼久了你覺得可以動用安地基金來辦演唱會嗎?可以嗎?剛剛我有做這個了解他是在救安基金底下有一個科目叫促進國民就業裡面用一個普遍科目有一個政令宣導所以許民春去辦演唱會就政令宣導
transcript.whisperx[157].start 5336.207
transcript.whisperx[157].end 5340.871
transcript.whisperx[157].text 臺北市審計處、審計部新北市審計處、審計部新北市審計處、審計部新北市審計處
transcript.whisperx[158].start 5363.044
transcript.whisperx[158].end 5364.365
transcript.whisperx[158].text 臺北市審計處、審計部新北市審計處、審計部新北市
transcript.whisperx[159].start 5380.602
transcript.whisperx[159].end 5406.834
transcript.whisperx[159].text 還是掛羊頭賣狗咧以假借正義宣導行個人的演唱會之事這個因為沒有我們給他的公示他還沒有給我們答案這個全民關注一個月太久了兩個禮拜可以吧兩個禮拜可以吧因為審計的查核有一定的促進啦你也不能因為我們也是希望勿忘勿重
transcript.whisperx[160].start 5408.596
transcript.whisperx[160].end 5412.379
transcript.whisperx[160].text 主計長請回答,審計部你對臺電的決算,寫了40頁40信上,批評臺電你的決算報告比如說,我這樣幾個,第一個,離電風電成效未如預期第二個,大潭電號電廠7號機
transcript.whisperx[161].start 5433.191
transcript.whisperx[161].end 5452.583
transcript.whisperx[161].text 基礎發電低於目標,總共這樣一兩三十公尺,列了比較重要的。然後呢,你可以看喔,我們累積的虧損,當年料啊,洗腦啊,這個有啦,進行順利累積虧損,
transcript.whisperx[162].start 5455.124
transcript.whisperx[162].end 5480.54
transcript.whisperx[162].text 這樣的情況審計部你對於臺電我們已經前後給幾千億了大概給前面加一加到給五千億了吧還一直虧無比鬥啊他現在又要一千億的追加預算一千億的一個增資你的態度怎麼樣我們是希望臺電要強化他整個的體質
transcript.whisperx[163].start 5482.495
transcript.whisperx[163].end 5500.007
transcript.whisperx[163].text 改善所以剛剛那個因為能源對我們很重要所以那個主要進度落後我們都提醒所以我們那裡面的一些族群進度落後的我時間到了我要你簡短回答你答應不答應在這個時候再給他兩千億啦剛剛說這樣啦答應不答應
transcript.whisperx[164].start 5505.595
transcript.whisperx[164].end 5533.672
transcript.whisperx[164].text 因為我們是希望他的體質健全以後也要他進行整個財務改善因為多多少少他有一些不經濟輸出像駐船會我們一查他那個一年我們可以替他省掉十幾億什麼會?那個印美的在那裡等候印美配?配十幾億?
transcript.whisperx[165].start 5535.913
transcript.whisperx[165].end 5550.339
transcript.whisperx[165].text 在頒令的時候我們說所以你的意思就是他沒有做好成本控制之前不應該給他這個錢我們是希望他我們是如果能夠兼顧他的整個需要希望他能夠改善他的體制
transcript.whisperx[166].start 5550.879
transcript.whisperx[166].end 5571.403
transcript.whisperx[166].text 改善體質什麼樣體質就是它每一個多多少少都會有一些省失所以我們是有希望報出損失損失最大的就是8年來核電平均貢獻2400億它不要用核電最大的問題在這個地方在這個之前沒有解決之前不能夠給它2000億而且我再講一遍
transcript.whisperx[167].start 5575.584
transcript.whisperx[167].end 5604.087
transcript.whisperx[167].text 他都說他可以借錢啊臺電可以借錢他借的很多喔他借很多我知道借1.6億了再多不愁歷史很少十幾億而已借幾十幾億兩百多億兩百多億他都查過了借一那真的是全部兩百多億啦借一千億才要十幾億而已啦對不對那個是這樣對啦十幾億而已啦所以借錢借錢可以解決嗎我們希望不要用借錢解決問題
transcript.whisperx[168].start 5605.228
transcript.whisperx[168].end 5626.183
transcript.whisperx[168].text 那你要問老百姓的錢,我們不同意啊好,謝謝,謝謝賴司法委員這個沈記長好好盯著臺電,你對臺電你對他的平價40月的缺失這樣的缺失還敢要兩千億有種心腸希望我們,因為能源對我們很重要不能夠再拿那麼多錢啊好,謝謝,謝謝賴司法委員接著請郭國文委員質詢
transcript.whisperx[169].start 5643.622
transcript.whisperx[169].end 5645.806
transcript.whisperx[169].text 現在主席有請主計長跟審計長主計長跟審計長審計長委員好
transcript.whisperx[170].start 5656.731
transcript.whisperx[170].end 5679.16
transcript.whisperx[170].text 主席長前兩天主計總處有公開一個記者會有就是說我們這一個薪資的差距指標這個中位數的部分呢2023年的部分已經降到4.05倍也就是說2012年以來降低的新低嘛對不對某個程度就是說我們貧富差距似乎啊已經有
transcript.whisperx[171].start 5680.722
transcript.whisperx[171].end 5691.422
transcript.whisperx[171].text 緩和改善當然我是覺得個人一直認為這個薪資的指標這個非常的重要你有沒有信心將來在2024之後低於這一個市啊
transcript.whisperx[172].start 5692.216
transcript.whisperx[172].end 5720.708
transcript.whisperx[172].text 事實上這個貧富的一個差距我們也一直都有在努力所以有很多的移轉支出也是讓他的一個一個差距在縮小那所以目前我們都是從縮小的一個狀態來因為本席是要就較於您的是部分因為前天就是卓院長有提到所謂的二上一下一平衡的數據經濟成長上人均GDP上然後呢失業率下然後GPI一平
transcript.whisperx[173].start 5720.868
transcript.whisperx[173].end 5729.372
transcript.whisperx[173].text 中華民國11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政
transcript.whisperx[174].start 5739.377
transcript.whisperx[174].end 5758.928
transcript.whisperx[174].text 主計總處能不能把這個列為你們今天來統計最重要的5個指標好不好第一個就要跟主計長說明了這個有些相關指標其實是非常重要也讓院長知道一下還有一個貧富差距指標是重要的麻煩做一個轉達主計長你稍作休息一下我問一下審計長
transcript.whisperx[175].start 5764.139
transcript.whisperx[175].end 5785.249
transcript.whisperx[175].text 審議長本期就效於您最近的政府機關不論是中央跟地方都收到許許多多霸凌的事件特別本期在開完記者會之後就收到很多檢舉特別是公部門我問你一下審計部門當中到底有沒有察覺這個問題
transcript.whisperx[176].start 5787.096
transcript.whisperx[176].end 5798.907
transcript.whisperx[176].text 您有沒有做過類似的這個這個調查報告有沒有這個我們向委員坦白一下因為這個和財務上的關聯性不是那麼強所以我們要查核的數項還蠻多的但是
transcript.whisperx[177].start 5808.936
transcript.whisperx[177].end 5831.628
transcript.whisperx[177].text 今天發現這一個可能我們也會可能因為這個好像還蠻普遍的所以我們會來就這一個進行專案調查專案調查對我還沒問你你就知道我要問什麼了你算很聰明有時候財務上沒有關係財跟人有關聯這是人的問題對不對
transcript.whisperx[178].start 5835.926
transcript.whisperx[178].end 5863.101
transcript.whisperx[178].text 財跟預算事情人、財、市這三件事情都有關聯啊人要依財去執行事情啊不是嗎那人出了問題的時候跟你有沒有審計有沒有關聯以這樣的看法就是應該有關聯更何況啊你知道嗎人事總處啊你要先去做一個審計調查啦人事總處居然啊公布一個所謂的反霸凌的這個行政規範公布完之後就跟他沒事了
transcript.whisperx[179].start 5864.235
transcript.whisperx[179].end 5890.433
transcript.whisperx[179].text 任何一個單位有沒有做這一個那個人事指引相關的指引都沒有他都不曉得一問三不知記者會現場還跟法務部互踢皮球真的是醜態百出啊所以我是覺得審計長你應該要把這個列入一個很重要的重點什麼時候要提出報告你不會半年之後才提出吧還是一年之後
transcript.whisperx[180].start 5893.144
transcript.whisperx[180].end 5900.394
transcript.whisperx[180].text 二、審查中華民國11屆第12會期財政委員會第11屆第12會期財政委員會第12會期財政委員會第12會期財政委員會第12會期財政委員會第12會期財政委員會第12會期財政委員會第12會期財政委員會第12會期財政委員會第12會期財政委員會第12會期財政委員會
transcript.whisperx[181].start 5908.024
transcript.whisperx[181].end 5925.161
transcript.whisperx[181].text 心態、文化各種方面要切入另外一個部分跟你也有相關你知道最近的整個霸凌事件也有人講說可能是跟人力上有關聯就是人力分配不足那我就牽扯到總原額法
transcript.whisperx[182].start 5925.882
transcript.whisperx[182].end 5945.531
transcript.whisperx[182].text 我們那個總原額法的部分是在2000年的時候通過但是25年前的產物扣除掉這一個有一次從17萬3降到16萬9的部分然後呢你又增加了司法人力1100的部分然後你又把公立醫院去除掉大概目前要控管的人數大概是14萬
transcript.whisperx[183].start 5947.872
transcript.whisperx[183].end 5962.959
transcript.whisperx[183].text 14萬的情況人事總部要控制14萬可是這個總額原法是在25年前那時候流行這個小政府的這個說法的情況底下所訂定的可是這幾年以來啊凡事都希望政府多做一點
transcript.whisperx[184].start 5965.041
transcript.whisperx[184].end 5983.162
transcript.whisperx[184].text 業務新增或者是虛擬世界的所造成的對實體世界的一些衝擊的業務也增加很多這種情況底下結果控管人額卻不斷的外包控管人額卻不斷的這個委外的情況底下這業務沒有少
transcript.whisperx[185].start 5985.418
transcript.whisperx[185].end 5987.78
transcript.whisperx[185].text 委員這個是一個要務實面對的一個問題對現在好像總研的法是16萬人左右但是
transcript.whisperx[186].start 6015.306
transcript.whisperx[186].end 6039.362
transcript.whisperx[186].text 實際也控制在十幾萬、十三萬人但是他的臨時人員有六萬人加起來就超過二十萬人那一種言而法在控制什麼在控制什麼所以他臨時人員加就往這邊走所以我的想法
transcript.whisperx[187].start 6042.912
transcript.whisperx[187].end 6057.771
transcript.whisperx[187].text 那要不要好好檢討?要不要好好檢討嘛?好,我們會去查。好,那又要叫你寫報告了是不是?對,但是啊,我要多久?要不到人。要多久?要多久?你要寫那個可以執行的報告,你要不要寫痛不癢的啊?我不會!
transcript.whisperx[188].start 6059.672
transcript.whisperx[188].end 6086.008
transcript.whisperx[188].text 我們出來都是...如果你寫的都不痛不癢那審計就不是在審計了你知道嗎對 我們會...好不好我們會記住以告好好好 那我再請主計長下來一下你稍微休息一下主計長時間先暫停一下主計長好 時間暫停來 來來來 那個主計長另外一個部分你知道那個...那個國民黨的這個財法法的部分讓我們經費都要大砍
transcript.whisperx[189].start 6088.936
transcript.whisperx[189].end 6091.33
transcript.whisperx[189].text 你看這邊哪一個最有可能被砍的
transcript.whisperx[190].start 6094.005
transcript.whisperx[190].end 6120.46
transcript.whisperx[190].text 因為我們現在目前也不知道說整個的一個需求要等到115年如果說實際在審查的時候才看那原則上因為你要未以籌謀啊是是是所以我們原則上現在有初步也跟各部會來我覺得讓你看一下體育經費好了你看我們這次臺灣隊12強拿到世界冠軍情收的經費都起了很大的作用那個明年我們體育署編了44億那還有28億的國家體育建設
transcript.whisperx[191].start 6123.902
transcript.whisperx[191].end 6126.571
transcript.whisperx[191].text 那如果照這個財法法通過的話那我們還會有這麼多錢嗎?
transcript.whisperx[192].start 6129.482
transcript.whisperx[192].end 6158.762
transcript.whisperx[192].text 要對半砍要對半砍對如果按照國民黨這個版本的話體育補助都對半砍的話那我們還有機會拿到冠軍嗎?搞不好連這個這些球員的獎金都要對半喔原來700萬要變350嘛原則上都是這樣都會對半嘛所以球員獎金就會對半嘛所以說這個知識體大臺灣將來有沒有拿到冠軍啊跟這個預算有直接的關聯性嘛對不對
transcript.whisperx[193].start 6161.503
transcript.whisperx[193].end 6184.61
transcript.whisperx[193].text 我就教你這個問題你們要點出來這個問題點很大有人在做禍國殃民的這個法案的時候你們真的要慎重遲遲的提醒因為這樣子的一個版本大概可能將來我們在預算編列是有很大的一個困難因為等於說大部分都要對半減但是有一些相關很重要的部分剛剛的說體育建設
transcript.whisperx[194].start 6186.33
transcript.whisperx[194].end 6192.593
transcript.whisperx[194].text 體育建設28億、剩下14億、體育署14億變12億、體育發展那球員的獎金7千萬就變成3千5嘛而且相對的一個市權也沒有移轉像原來老人基金貼包括全民健保1074億市權沒有移轉老人基金貼還有這個國立高中職、老人基金貼、健保
transcript.whisperx[195].start 6214.104
transcript.whisperx[195].end 6238.455
transcript.whisperx[195].text 都是我們在附帶的都是大問題好那我就看一下嘛你剛剛講的我就幫你做表做好了是財務複習嘛今審後都是中央嘛公共建設也是中央嘛老農津貼嘛還有直接補助縣市政府的是這頭有個問題點我必須說預算法第91條的時候大幅增加稅出稅入的時候要先爭取行政院的意見他們要先問你們的意見
transcript.whisperx[196].start 6239.833
transcript.whisperx[196].end 6264.289
transcript.whisperx[196].text 這是第一個嘛第二個如果萬一問題出現的時候是不是應該提案修正對不對這有沒有不曉得預算來源在哪裡還有預算法除了91條之外還有一個很重要以後如果真的給地方比較多的錢那地方的這個預算怎麼編怎麼用現在沒有直接的法令規範
transcript.whisperx[197].start 6265.677
transcript.whisperx[197].end 6289.128
transcript.whisperx[197].text 有沒有沒有現在是用預算法而已對不對是可是預算法第96條的時候有一個地方政府預算應以法律定之現在有這個法律嗎沒有有一個地方他現在目前就只有一個地方制度法還有那個地方制度法是要修這長期本席的主當是不是也應該制定一個地方預算法
transcript.whisperx[198].start 6297.988
transcript.whisperx[198].end 6315.382
transcript.whisperx[198].text 對目前我們是這樣子因為這個相關的預算的一個籌編的部分它是在地制法裡面有規範但是其他的部分我們在總預算中央總預算籌編的時候會對地方做一些的規範但是事實上是真的沒有在法律上做一個大臉的規範
transcript.whisperx[199].start 6316.823
transcript.whisperx[199].end 6334.634
transcript.whisperx[199].text 如果毫無節制的任由他去使用這些預算的話那財政機率會更加的敗壞不是嗎所以我就問你嘛就96條的部分如果萬一有這個趨勢一直走下去的話畢竟立法院的生態就這樣子是不是應該制定一個地方預算法嗎
transcript.whisperx[200].start 6335.959
transcript.whisperx[200].end 6357.77
transcript.whisperx[200].text 多層次的規範嘛你們思考一下好不好你們思考一下評估一下兩個禮拜給本席一個答覆應該用透過地方預算法根據預算法96條的部分來訂定來做一個規範規範地方政府預算怎麼用怎麼編可不可以
transcript.whisperx[201].start 6359.151
transcript.whisperx[201].end 6385.848
transcript.whisperx[201].text 兩個禮拜你這個如果沒有編的話我現在想齁這個禍國殃民的法案齁如果通過的話真的後患無窮啊主席長我建議你最好要編啊因為地方制度法老師說齁什麼時候修法也不清楚他們就只是想要搶錢而已可是地方預算法如果讓他們毫無理智的通過地方預算法照至少一個一個規範因為以前的預算規範是在行政部門的內部監督嘛
transcript.whisperx[202].start 6388.39
transcript.whisperx[202].end 6388.41
transcript.whisperx[202].text 沿寬橫維園諮詢
transcript.whisperx[203].start 6427.149
transcript.whisperx[203].end 6431.937
transcript.whisperx[203].text 主席、各位歷史觀點大家早。主席有請主計處陳主計長。好,主計長。
transcript.whisperx[204].start 6439.673
transcript.whisperx[204].end 6467.346
transcript.whisperx[204].text 委員好主計長明年中央政府總預算稅數編列3.13兆占比最重的是社福支出8310億比今年增加413億社福是我們最不可缺的一環我們都希望民眾生活可以過得更好每個人也都希望能夠享有政府提供的社會福利
transcript.whisperx[205].start 6468.747
transcript.whisperx[205].end 6484.079
transcript.whisperx[205].text 本席的選區面積很大大概260平方公里臺北市270平方公里所以我們的選區內人口部分區域快速成長有些是平盤
transcript.whisperx[206].start 6485
transcript.whisperx[206].end 6510.464
transcript.whisperx[206].text 那整個海線的人口增加是一個很大的幅度但是因為人口增加所以也衍生出一些迫在眉睫的問題除了高齡化之外就是少子化的部分那在長照政策方面根據臺中市政府113年度長照2.0整合型計畫的報告中那一國中學區以日照的這樣子的一個達成情形
transcript.whisperx[207].start 6511.504
transcript.whisperx[207].end 6538.675
transcript.whisperx[207].text 龍井烏日大概是66.7%沙鹿的部分是75%跟市區來相比市區大概都百分之百了都達成了所以顯然是入後很多我剛剛提到這個行政區都是人口快速成長的地方所以希望未來主計處能夠多幫忙我們會積極地來爭取相關的這些預算來擴建製造中心避免量能不足
transcript.whisperx[208].start 6540.056
transcript.whisperx[208].end 6558.654
transcript.whisperx[208].text 讓這個民眾能夠得到更好的一個長照的服務那這個部分要請主計處要多幫忙那另外治水的相關部分前瞻預算第5期703億全數以這個舉借債務支應那其中水環境的部分218億
transcript.whisperx[209].start 6561.156
transcript.whisperx[209].end 6582.3
transcript.whisperx[209].text 南部地區因為我們颱風侵襲的原因所以造成的災害比較嚴重導致常常要預支挪用救災的部分然後變成說中部地區我們的這些預防性的水利工程沒有預算可以進行就以我選區裡面來講這個臺中海線的南山節水溝
transcript.whisperx[210].start 6586.201
transcript.whisperx[210].end 6613.306
transcript.whisperx[210].text 一、二期工程已經完成那最重要的第三期工程到現在都沒有著落那這個部分我要請這個主計處這邊因為水利署常常要求地方這個要地方政府來先行帶電但是因為會不會說電力電就變成自掏腰包變成說有借無還所以本席要請主計長多留意預算模樣的情況
transcript.whisperx[211].start 6614.606
transcript.whisperx[211].end 6636.547
transcript.whisperx[211].text 預算農用的情況在這種極端氣候的影響之下全臺各地都經常的發生這種突發性豪大雨所以尤其我們海線地區這個第四低窪如果碰到漲潮、極端氣候影響再加上水利工程沒有完善這種情況那如果一發生這種災害是很難想像的
transcript.whisperx[212].start 6637.412
transcript.whisperx[212].end 6661.372
transcript.whisperx[212].text 是,我也跟委員說明一下,因為剛剛委員所談到的就是有墊戶的一個情形事實上我們去了解,它不是,它是應該,一線是應該要配合的一個配合款只是說因為前瞻預算的一個案子如果沒有通過的話,這個部分的配合款可能就是沒有辦法就是要叫他先行來做預算的一個編列
transcript.whisperx[213].start 6662.514
transcript.whisperx[213].end 6673.867
transcript.whisperx[213].text 再來就是有關災害的一個部分我們一般都是針對復建工程都會先撥10%然後還有救助和緊急搶救的部分都會在核定的經費營業5%甚至於會看緊急的情形會有6%、7%
transcript.whisperx[214].start 6678.112
transcript.whisperx[214].end 6702.426
transcript.whisperx[214].text 百分之八的一個做調整那資金的調度我們也會看地方如果有困難就會預先來做預註所以像花蓮的一個地震、震災我們都先預借給他3億元那像莫蘭地颱風的時候也借給高雄3億元所以一般縣市如果有困難在中央這部分他都會先行預註主計長那我再請教就是青年失業率的問題
transcript.whisperx[215].start 6703.867
transcript.whisperx[215].end 6720.16
transcript.whisperx[215].text 今年是九年級就是90年次以後出生的第一開始進入職場的時間但是他迎來的卻是一個屢創新高的青年失業率根據你們主計處資料這個今年1到10月20到24歲青年失業率高達11.69%11.69%他是所有
transcript.whisperx[216].start 6729.403
transcript.whisperx[216].end 6745.408
transcript.whisperx[216].text 是所有年齡層中失業率最高的跟45到64歲中高齡的失業率2.15%相比差了5.43倍那你認為是什麼原因導致這些青少年找不到工作可不可以先說一下
transcript.whisperx[217].start 6746.255
transcript.whisperx[217].end 6765.161
transcript.whisperx[217].text 我要跟委員報告一下因為事實上我們用青年的一個失業率是15到29歲那剛剛委員講的是指20到24歲的部分所以它是11點多但是它已經從13點多降到11點多有比較好就對了11點多是有比較好就對了對所以逐步在降這個部分那當然因為那11點6點你滿意嗎
transcript.whisperx[218].start 6770.322
transcript.whisperx[218].end 6785.567
transcript.whisperx[218].text 不是,這個部分我們當然是要盡力來做改善那這個部分是因為他是出入職場所以他很多都是怎樣他對他的薪資不滿意對他工作的職位不滿意所以他會異動率就會比較高所以你的解釋就是說因為他
transcript.whisperx[219].start 6786.307
transcript.whisperx[219].end 6809.201
transcript.whisperx[219].text 這就是目前的狀況第一次投入職場所以對於他的這個就業環境不滿意所以才會導致高失業率是這樣子嗎就業的職類別就業職類別包括他的薪資他不滿意所以我們會做調查做這個分析我想這個我們我國的高等教育普及度很高那青少年都應該具備
transcript.whisperx[220].start 6810.302
transcript.whisperx[220].end 6818.385
transcript.whisperx[220].text 二、審查中華民國11屆第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11
transcript.whisperx[221].start 6837.331
transcript.whisperx[221].end 6857.699
transcript.whisperx[221].text 還有沒有其他原因?沒有,就是因為就業別的關係因為它不穩定,它一直換工作不穩定換工作?對對,就是這個部分因為我們調查分析的兩樣主要原因就是我認為我們要去思考怎麼樣鼓勵企業能夠提供更好的就業環境就業條件,這樣子能夠讓年輕人他們能夠剛出社會的這些新鮮人
transcript.whisperx[222].start 6861.54
transcript.whisperx[222].end 6877.595
transcript.whisperx[222].text 能給他們更多的機會來進入這個社會來做一個學習跟培養相關的實力這樣才能夠讓我們國家這個更有創造力那好那我再請教明年1月1日最低薪資從27470調升到28590那從時薪從183元調到190元
transcript.whisperx[223].start 6885.462
transcript.whisperx[223].end 6888.404
transcript.whisperx[223].text 民務薪資調漲不等於實質薪資漲今年公布的一個數據
transcript.whisperx[224].start 6902.693
transcript.whisperx[224].end 6913.259
transcript.whisperx[224].text 這個去年經常性薪資45496那實質經常性薪資是41334實質經常性薪資又降低了0.05%連續三年為負數那實質總薪資的值也減少了1.04%是七年來首度負成長我要請教主計長用專業角度去預測一下
transcript.whisperx[225].start 6929.447
transcript.whisperx[225].end 6945.358
transcript.whisperx[225].text 你認為今年實質總薪資、實質經常性總薪資相較於去年是會上升還是會負成長的狀態?那判斷的依據是什麼?報告委員,事實上今年113年1到9月我們的經常性薪資平均是連增2.72
transcript.whisperx[226].start 6947.58
transcript.whisperx[226].end 6972.743
transcript.whisperx[226].text 那個我們的一個CPI去比,事實上是正成長並不是說,像委員說的是負成長那目前的部分,我們經常性薪資也都是正常成長的一個方向來走而且是逐年在成長,連我們的中位數也都是成長那為什麼我手上的資料是負的呢?是是,我們在補充資料,那是去年的,我們在補充資料今年一到九年,全部是正成長
transcript.whisperx[227].start 6973.55
transcript.whisperx[227].end 6983.617
transcript.whisperx[227].text 所以今年是會上升就對了嗎?那我手上這個卻是負的啊,負成長啊那是1、2年的部分,那我們會補100年我來再講一下啦,我們雖然每一年都在調高基本薪資
transcript.whisperx[228].start 6989.451
transcript.whisperx[228].end 7004.918
transcript.whisperx[228].text 也代表著物價不斷的上漲現在物價通膨大家都很感受那國人的加薪加班費還有獎金這個調漲的幅度根本趕不上通膨的速度那對於一些領高於基本薪資的勞工來講這個調漲對他們毫無作用但是
transcript.whisperx[229].start 7010.831
transcript.whisperx[229].end 7032.799
transcript.whisperx[229].text 他的副作用來的就是這些物價的上漲那包括每一次像是外食費、蛋價、菜價這些漲幅大家都有看到五塊、十塊這些東西都高於這個薪資的增幅所以最後有可能出現說本身薪水沒有調漲但是物價都上來了
transcript.whisperx[230].start 7033.479
transcript.whisperx[230].end 7034.459
transcript.whisperx[230].text 委員會委員會委員會委員會委員會委員會委員會委員會
transcript.whisperx[231].start 7063.326
transcript.whisperx[231].end 7088.592
transcript.whisperx[231].text 受害了怎麼辦跟委員報告就是剛剛如委員所提去年的部分事實上是等於是說他薪資的成長沒有比通膨還要高但是今年一到九月他薪資的成長都高於通膨通膨的一個那個所以他本身薪資是呈現成長而且以行政院來講他也是帶頭來所以我們今年就是把所有的受僱的
transcript.whisperx[232].start 7089.292
transcript.whisperx[232].end 7115.099
transcript.whisperx[232].text 一個相關的一個限制調到3萬1你講的都是數字但是我講的是感受確實是現在螺旋上漲就是整個菜價物價螺旋上漲薪資停滯這個是現況所以我們不是不要去美化數字我們要的是說實質的想出什麼樣的辦法來協助大家來協助能夠擁有一個更好的生活品質然後找到一個更好的解決方案好不好是好主席長
transcript.whisperx[233].start 7116.817
transcript.whisperx[233].end 7116.977
transcript.whisperx[233].text 謝謝審計長還有金門縣的審計主任
transcript.whisperx[234].start 7140.456
transcript.whisperx[234].end 7161.444
transcript.whisperx[234].text 楊大洋主任沈議長我是請金門縣主任在這裡但是我想你也很了解我們金門的這個情形那你知道我們金門這個剛剛我聽到有委員在評論說金門好像是說很多吳評會員是說金門有很多什麼剩餘什麼什麼還是怎麼樣還為什麼還要多要錢
transcript.whisperx[235].start 7163.986
transcript.whisperx[235].end 7187.896
transcript.whisperx[235].text 我想讓這邊讓大家再更了解一下金門縣的財政情形你知道金門縣去年金門曾經有爭取到一個停車場的補助費用有一個停車場大概十幾億的補助公務總局給我們前兩年爭取到補助費用要做兩個停車場一個在金城國中一個在中正國校的地下室要做兩個停車場
transcript.whisperx[236].start 7189.036
transcript.whisperx[236].end 7199.25
transcript.whisperx[236].text 可是因為我們必須要有自籌款但是我們先生覺得我們因為財政開始變成困難所以我們就把這個9億、11億的費用退回給公路總計,您知道這件事嗎?
transcript.whisperx[237].start 7202.818
transcript.whisperx[237].end 7220.411
transcript.whisperx[237].text 審議長知道嗎?知道你知道嗎?知道楊主任知道嗎?知道是不是確實有這件事情?對所以我們怎麼會不想做事?或是我們怎麼會剩很多錢不想做呢?我們現在是因為不夠錢那審議長你知道金門的稅率一年多少錢嗎?
transcript.whisperx[238].start 7221.312
transcript.whisperx[238].end 7246.586
transcript.whisperx[238].text 一百多萬一百多億一百一到一百三嘛那你知道這個其中金門縣政府自己出了多少錢嗎金門縣啊自籌多少你知道嗎我們的一百多億裡頭我們自籌一年自己出多少錢自籌百分之四十四十四十五十我們一年都自籌四十五十億換句話說我們的錢很多應該在全國排名是前幾名吧
transcript.whisperx[239].start 7247.526
transcript.whisperx[239].end 7265.832
transcript.whisperx[239].text 致酬的部分排名應該是在前幾名嗎?在前面的一定是在前幾名我們當然現在是沒有負債也是因為我們都懂得怎麼結尊開支但是我們的確是財源越來越困難所以我們現在才會有一些沒有辦法做的事情我想請問主計長
transcript.whisperx[240].start 7268.956
transcript.whisperx[240].end 7289.478
transcript.whisperx[240].text 我先把審計問完好了來 審計長 那個審計的人力分配我先請教啊 主委長等一下喔審計的人力分配問題我想跟你們請教齁這個你們的工作包括監督預算啊 審定決算啊齁 這個齁那 你看你們的人力分配 你看嘉義澎湖金門齁 的這個人事齁 人力齁 你看
transcript.whisperx[241].start 7291.561
transcript.whisperx[241].end 7317.418
transcript.whisperx[241].text 15個人澎湖13個人你看監督的預算數加一室500多億澎湖縣400多億金門縣700多億719億您看一下我們金門縣的人力你看我們的金門縣審計室的人力只有13個人我們省的這個預算監督的預算比澎湖比加一多很多啊意思是說我們在金門審計人力呢平均監督的預算數
transcript.whisperx[242].start 7319.537
transcript.whisperx[242].end 7319.777
transcript.whisperx[242].text 委員會委員會委員會委員會
transcript.whisperx[243].start 7336.425
transcript.whisperx[243].end 7356.051
transcript.whisperx[243].text 謝謝委員你講到我都痛處我那個人力啊每個縣市都十幾個人是不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不不
transcript.whisperx[244].start 7358.198
transcript.whisperx[244].end 7377.587
transcript.whisperx[244].text 所以我們現在社會上啟齊沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做還是怎樣沒有人要做
transcript.whisperx[245].start 7378.929
transcript.whisperx[245].end 7395.616
transcript.whisperx[245].text 人事總署人事總署不願意就對了是嗎他有總委員法限制啊所以他給我的每個人都會想要所以你們能力研究不足嘛那你就不擔心人事總署不擔心那個審計單位發生因為可能會公務人員過牢啊這也算霸凌啊人事總署不擔心嗎
transcript.whisperx[246].start 7396.956
transcript.whisperx[246].end 7414.172
transcript.whisperx[246].text 他因為有總額落法的問題所以我會體諒他那你體諒他我們沒有辦法體諒你因為我們金門縣緣的太少一般都是希望審計人員最少二號沒有沒有我們的審計人員最少你過去研究一下我們金門縣為什麼太少我是這樣啦這個我已經向人事總署因為大院有做決議希望我們能夠增加額度給我們那我已經去了兩次公文
transcript.whisperx[247].start 7423.48
transcript.whisperx[247].end 7435.584
transcript.whisperx[247].text 我會再去第三處看看還有沒有再開個專會來解決這個問題阿如果沒有的話人事總署有來阿副人事長請上來一下暫停一下請他上來有在這裡喔來人事行政總署副人事長
transcript.whisperx[248].start 7451.038
transcript.whisperx[248].end 7460.071
transcript.whisperx[248].text 委員好部委員市長來請問一下萬一發生過勞致死這算801種你們不用考慮這個情形嗎
transcript.whisperx[249].start 7462.897
transcript.whisperx[249].end 7486.496
transcript.whisperx[249].text 這個人力怎麼應用、如何管理各機關也要一點責任去投資分配你意思是說審計室的那個人力用得太浪費是不是?是沒有啦,老實說是沒有,那為什麼立法院做的決議你們不做呢?有啊,那那個審計部有邀請證號,他有報告然後呢?那當然我們會有一些想要釐清的事情會請做多久勒?
transcript.whisperx[250].start 7487.486
transcript.whisperx[250].end 7500.529
transcript.whisperx[250].text 那就如果有要審計部釐清了那看審計部的回應的水準審計部沒有辦法釐清是吧審計部在那裡沒辦法釐清喔有啦他們會會那這公文已經去多久為什麼要去三次呢政府平行部門之間要這麼辛苦喔
transcript.whisperx[251].start 7501.884
transcript.whisperx[251].end 7518.8
transcript.whisperx[251].text 這樣啦,因為我也諒解...我知道你不敢為難他啦,來他那個總研合法他要控管啦,所以剛剛有委員要希望喔,調整總研合法應該怎麼做你們來告訴我們嘛,可以嗎,我們立法院會有做的決議我們會希望不要再有這樣的情形發生嘛,好嗎
transcript.whisperx[252].start 7519.701
transcript.whisperx[252].end 7520.041
transcript.whisperx[252].text 主席主席主席
transcript.whisperx[253].start 7543.274
transcript.whisperx[253].end 7545.416
transcript.whisperx[253].text 所以針對這個審計長在這裡針對這個金門的這個部分吼我們的確沒有你知道我們金門的確好主席掌聲
transcript.whisperx[254].start 7552.003
transcript.whisperx[254].end 7572.748
transcript.whisperx[254].text 我們金門的確也有我們金門的確也有說甚至我們有餘力的時候我們也是幫助金門醫院嘛補餘力了對不對我們也補助金門醫院補助金門大學即便我們財政困難看在這些也是金門人在那邊念書金門人在那邊就醫我們還補助中央單位即便我們短處自己很多東西都做不了主計總處主任秘書上來主計長上廁所嘛洗手間那都是你問我啦
transcript.whisperx[255].start 7576.169
transcript.whisperx[255].end 7585.026
transcript.whisperx[255].text 不然這樣子我問你啊你先主計對好可以問你也可以來來主計長呃他等我等他我等他我等他
transcript.whisperx[256].start 7588.98
transcript.whisperx[256].end 7609.352
transcript.whisperx[256].text 你知道這個離島我們有要求在公共建設部要加三層嘛沒問題嘛但是為什麼請問一下我們都離島都不會跟別的縣子比我們都跟離島比你看一下澎湖金門連江同樣是離島縣為什麼我們的人口我們人口比澎湖還多我們14萬他10萬我們的這個
transcript.whisperx[257].start 7612.094
transcript.whisperx[257].end 7620.163
transcript.whisperx[257].text 我們的土地差不多,比它還大為什麼每一年的補助款都豐富這麼多?都少豐富這麼多?我想請問主計長
transcript.whisperx[258].start 7621.802
transcript.whisperx[258].end 7641.597
transcript.whisperx[258].text 我要跟委員說明因為在他是沒有收支差短本身我們會設置不是為什麼我們是差不多大的縣市而且我們都是離島是但是有一點我要特別跟委員報告因為我們自籌財源比較多不是你的低收入戶的人口我們會在差不多你只有我們125戶他199戶
transcript.whisperx[259].start 7644.179
transcript.whisperx[259].end 7664.63
transcript.whisperx[259].text 沒有你只有他們的兩層沒有啦你注意看一下我們中地收入我們125他199對這個部分我們有算了齁就這個部分就是有關社會福利支出的一個部分為什麼差距是4倍我們的賭注差4倍為什麼我們跟澎湖你看人口各方差不多我派比他多人
transcript.whisperx[260].start 7665.31
transcript.whisperx[260].end 7669.113
transcript.whisperx[260].text 但我們中間收入戶比較少因為這個部分就是低收入戶的相關的我們125戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶戶�
transcript.whisperx[261].start 7695.635
transcript.whisperx[261].end 7717.193
transcript.whisperx[261].text 你把資料提供給我因為我們的人口和那個都比他多嘛是是是是地方的這個公務人員調薪的部分114年軍公交要調3%嘛明年開始啦88年以來第25年來第二次調薪啦連續首度連續第二次那我們這幾年你知道稅入和稅出我們也越來越辛苦了為什麼我們金門縣還是只是補助50%
transcript.whisperx[262].start 7718.598
transcript.whisperx[262].end 7741.269
transcript.whisperx[262].text 因為我們現在目前就是針對比照113年度條新的一個原則就是它基本收入差短有差短的縣市補助50%沒有差短錢的補助意思就是說別的縣市因為比較沒有努力自籌財源我們很努力沒有差短我們省錢然後努力賺錢所以你來處罰我們那我們就是要自己出更多的錢
transcript.whisperx[263].start 7742.409
transcript.whisperx[263].end 7763.116
transcript.whisperx[263].text 你不鼓勵這種很自己說我們盡量省錢不能做10億沒有因為我們籌不出3億10億的錢我們就不要了對不對我們就不要這個停車場你不鼓勵這種好學生努力向上的學生你就逼大家擺亂嗎所以委員你的一個一般補助的一個成長是比
transcript.whisperx[264].start 7765.637
transcript.whisperx[264].end 7791.203
transcript.whisperx[264].text 在排名是第三的是成長比澎湖還要高那還是跟不上吧我們什麼東西都要自己金門縣什麼東西都要自己出比較多沒錯吧自籌款也要比較多補助款又要比人家少然後接著我們還努力的除了自己的縣內的機構以後我們還努力的看中央單位縣立醫院、金門大學、國立單位我們還要幫忙他們
transcript.whisperx[265].start 7791.923
transcript.whisperx[265].end 7815.636
transcript.whisperx[265].text 所以一般縣市補助的部分我們這麼的努力也跟中央一起的協力卻給我們這麼少的補助款主要是在調劑營需啦所以這個部分如果說自有財源比較高的部分在懲罰好學生喔好學生有獎勵喔沒有啊你看我比那個還少這個部分你整個來幫我們我們這個討論很多次了好好的來檢討好不好我們的財力分析方面檢討謝謝委員長
transcript.whisperx[266].start 7819.755
transcript.whisperx[266].end 7821.337
transcript.whisperx[266].text 王紅薇委員主席主席、主計長副秘書長
transcript.whisperx[267].start 7846.533
transcript.whisperx[267].end 7866.08
transcript.whisperx[267].text 委員好主計長和副秘書長好上次我在這邊特別提到因為我們一直在討論財劃法那麼事實上中央對地方財劃法因為它是這個統籌款的部分有公式但是補助款的部分就是中央分配給地方
transcript.whisperx[268].start 7867.38
transcript.whisperx[268].end 7888.398
transcript.whisperx[268].text 當時我就在質疑以我們六都來說每一次的歷年一般補助款都是臺南市拔得頭籌第一名在六都裡面臺南市還很不服氣我看到有一些綠媒還說他打臉我他用一些他自己的表格
transcript.whisperx[269].start 7889.119
transcript.whisperx[269].end 7913.489
transcript.whisperx[269].text 好那我今天就再一次的用我們今天行政院主計處所做的報告我們今天討論中央補助款對不對中央補助款一般補助款裡面你們的報告第14頁這個是你們明年度對直轄市及縣市一般性補助款的編列情形表大家如果有的話可以拿來看
transcript.whisperx[270].start 7915.148
transcript.whisperx[270].end 7930.898
transcript.whisperx[270].text 可以再次的看到我們如果拿六都來講的話我們如果拿六都來說那麼我看一下最少的是我們桃園市
transcript.whisperx[271].start 7932.637
transcript.whisperx[271].end 7935.319
transcript.whisperx[271].text 桃園市75億、桃園市114年度是75億、桃園市190億、桃園市189億
transcript.whisperx[272].start 7950.683
transcript.whisperx[272].end 7979.803
transcript.whisperx[272].text 所以我們如果拿六都來做比較的話確實臺南市今年呢掉到第二名但是如果看歷年我今天就用這個表格這個在主計處的網站也通通都有臺南市過去歷年都是六都裡面第一名可是大家看到我今天表格一定覺得很奇怪啊欸王宏偉你說什麼臺南第一名他說第二名啊對不對你剛剛說今年這個高雄是第一名高雄也是第二名啊
transcript.whisperx[273].start 7981.038
transcript.whisperx[273].end 8010.048
transcript.whisperx[273].text 因為我很仔細的看你們的補助款我發現一個非常特殊的狀況也就是通常我們一般性的補助款可能用人口、面積或者是它所負擔的一些相關的業務確實六都它分配的比較多一些但是其實我們有一個隱藏性的第七都神秘第七都後來我看了以後我確實有點冤枉台南市
transcript.whisperx[274].start 8011.124
transcript.whisperx[274].end 8025.831
transcript.whisperx[274].text 因為在歷年你們一般性補助從110年一直到明年你們一般性補助款最多的不是六都任何一個都市而是屏東縣政府
transcript.whisperx[275].start 8026.874
transcript.whisperx[275].end 8048.906
transcript.whisperx[275].text 你看到今年還可以拿到192億比高雄比台南都要高所以我想請問請問主計長請問行政院一般性補助款我想各縣市都有很多業務剛才比如說像金門啊他們想想做一些事情啊因為沒有錢最後把那個配合款也通通都退掉了
transcript.whisperx[276].start 8051.411
transcript.whisperx[276].end 8077.485
transcript.whisperx[276].text 平東他不是人口最多他也不是面積最多他也不是財政自籌的能力最差都不是啊為什麼年年一般性補助款平東都可以拿第一名什麼原因過去常常講說哇這個中央政府啊都是重北輕南有嗎如果我們看一般性補助款來說
transcript.whisperx[277].start 8079.079
transcript.whisperx[277].end 8106.689
transcript.whisperx[277].text 例年六都裡面臺南市、高雄市絕對可以分在一、二名結果我沒想到屏東更厲害屏東可以拿第一名所以你們這些的補助款難道不是重慮清懶嗎我直接整理了五年的資料給你看所以也因為我的時間有限因為我待會還有很多要問請行政院主計處給我一個
transcript.whisperx[278].start 8109.62
transcript.whisperx[278].end 8138.058
transcript.whisperx[278].text 報告請問你們一般性補助款的分配的標準到底是什麼為什麼出現這樣長期的不平衡長期的傾斜那請問一下屏東縣他如何傲視全國年年可以拿第一我不解這有神秘的公式嗎好請你給我一個書面資料好接下來因為我們要審查的太多來下一頁
transcript.whisperx[279].start 8140.122
transcript.whisperx[279].end 8151.758
transcript.whisperx[279].text 請問一下我們今年的二倍金行政院二倍金今年的到目前為止使用多少目前是使用45億
transcript.whisperx[280].start 8154.704
transcript.whisperx[280].end 8157.787
transcript.whisperx[280].text 剩下45億目前45億剩下45億剩下45億所以因為你們報告是說第4頁來大家都可以看到第4頁說動之了26億然後呢
transcript.whisperx[281].start 8171.974
transcript.whisperx[281].end 8197.07
transcript.whisperx[281].text 今年度編列的是74億所以如果只剩45億事實上動資29億所以今年的動資金額非常的少因為這個大概過去因為編的比較高後來也是按照它實質的來做這個合理的調整但是明年度你們二倍金又把它提高到80億
transcript.whisperx[282].start 8199.042
transcript.whisperx[282].end 8217.695
transcript.whisperx[282].text 如果今年度全部到今年已經今年都快過完了一個半月都不到你們也不過動用了29億因為你這個報告其實有誤差29億的話那你明年度你要編到80億要增加6億為什麼跟委員報告
transcript.whisperx[283].start 8222.728
transcript.whisperx[283].end 8248.854
transcript.whisperx[283].text 因為我們現在就是說除了我們災損金以往是編20億那今年提高到50億對這個我沒有什麼意見因為災損金老實講我一直在問你們我們今年災損因為今年災損比較嚴重應該照理講是嚴重可是到現在為止你也沒有給我說今年到底災損動用了多少好那你如果基於說現在有一些這個可能的這個氣候
transcript.whisperx[284].start 8250.394
transcript.whisperx[284].end 8269.382
transcript.whisperx[284].text 異常的狀況或者是說你對我們治水預算的成果不具信心很擔心到時候又來到處淹水所以呢你今年的就是明年的災害准金你把它變50億其實增加了1.5倍嘛從21變50億但是我這個不會去有什麼意見啦因為這個有災害才會用
transcript.whisperx[285].start 8275.925
transcript.whisperx[285].end 8303.907
transcript.whisperx[285].text 那我請問你二倍金憋那麼多幹嘛?我再跟委員報告那你今年用那麼少?像我今年開明颱風就100多億啦那現在三駝耳的這一個部分它有一部分的榮損還沒有報來那我們的一個災損金在113年才20億那是根本不夠對啊你已經增加到50億了所以我們今年光是災害就將近200多億200多億的一個災損那這一個部分第二億倍金也是依註所以目前還有45億左右相關的榮損
transcript.whisperx[286].start 8305.788
transcript.whisperx[286].end 8328.003
transcript.whisperx[286].text 我就知道你會這樣想你知道嗎其實在我們的預算法裡面只要有災損的時候我們任何科目都可以移作災損金對不對我們很多科目是不准隨便亂挪用的但是你們其實被我們內政委員會去抓到了亂挪用什麼資本門拿去做經常門這個帳回來再算
transcript.whisperx[287].start 8330.103
transcript.whisperx[287].end 8354.002
transcript.whisperx[287].text 摘准金你提高我沒有什麼意見但是呢摘准金我剛講其實只要發展比如你今年200億你全部加起來摘准金二倍金也沒有200億啊你就說你沒有錢了嗎不會啊你還是可以去挪用其他的科目嘛對不對你知道為什麼我覺得你們二倍金這樣提高沒有道理第一個今年度這麼少動資的那麼少
transcript.whisperx[288].start 8356.912
transcript.whisperx[288].end 8372.768
transcript.whisperx[288].text 然後你明年一下提高了6億我就覺得沒有什麼道理啦好那因為我的時間還有限我還是要請問你另外調整軍公教人員待遇準備為什麼要減少那麼多
transcript.whisperx[289].start 8374.076
transcript.whisperx[289].end 8400.689
transcript.whisperx[289].text 第一個就是減少的部分主要是那個退休人員的部分那退休人員的部分他是五年調整一次五年檢討一次然後他是必須要看整個物價不是砍而是說他能調整的部分必須五年調整一次然後他做檢討然後而且必須要看物價超過百分之五以上才可以調所以他是裡面有規範所以這個部分就是針對退休人員的部分不是砍是他沒有調這個部分
transcript.whisperx[290].start 8403.711
transcript.whisperx[290].end 8428.591
transcript.whisperx[290].text 條件沒有成就因為他必須要說他的消費者物價指數必須累計達到政府5%以上這個部分才可以調整那第二個就是每四年要檢討一次所以他有兩個條件這兩個條件這個部分請你再給我比較詳細的好不好因為我看今年就是明年度是在減少的非常少我還以為我們的人員大幅的減少勒
transcript.whisperx[291].start 8429.312
transcript.whisperx[291].end 8429.812
transcript.whisperx[291].text 主席主席主席
transcript.whisperx[292].start 8452.732
transcript.whisperx[292].end 8470.383
transcript.whisperx[292].text 審議長好你們的預算基本上我不會做什麼樣的調整但是我要講的就是其實我要褒獎一下我們審計部我真的覺得我們現在的審計部大概是我們
transcript.whisperx[293].start 8471.263
transcript.whisperx[293].end 8496.263
transcript.whisperx[293].text 就是政府裡面的良心有關於在一些預算、財務過去你們確實也抓出很多包含前瞻前瞻問題太多了留下一大堆的文字館還有一些國防前瞻特別預算的舉債太高我認為審計部也都有盡到職責所以預算的部分我不會調整但是我想在我們
transcript.whisperx[294].start 8497.063
transcript.whisperx[294].end 8511.745
transcript.whisperx[294].text 這些有關於這些財政支出所以預算那請審計部等於過去的這樣的一個原則和態度不要因為有什麼壓力然後呢就開始這個畏首畏尾的好不好
transcript.whisperx[295].start 8512.446
transcript.whisperx[295].end 8515.609
transcript.whisperx[295].text 審計部都到最後花光光了以後你們再去找問題但是我們還是要把問題找出來好不好好謝謝王洪瑞委員接著請李昆城委員質詢
transcript.whisperx[296].start 8541.36
transcript.whisperx[296].end 8549.745
transcript.whisperx[296].text 謝謝主席我們先請主計長那如果等一下有談到審計部的部分再請這個審計長隨時stand by好請主計長委員好
transcript.whisperx[297].start 8553.937
transcript.whisperx[297].end 8564.691
transcript.whisperx[297].text 主計長最近因為臺灣的棒球拿到世界冠軍所以大家又開始重視體育然後重視體育的預算其實我看我們這個政府不論是編在體育署的體育的經費
transcript.whisperx[298].start 8572.08
transcript.whisperx[298].end 8598.201
transcript.whisperx[298].text 或是說編在我們這一個運動發展基金裡面的這些經費其實對於我們的不論是球員或是我們這個全民運動或是說各級學校的這個軟硬體設施的這個補助呢其實我認為到目前為止都還做得不錯那當然也是還是可以有再加強的部分那我先請教一下這個我看了一下這一個體育署的這個預算
transcript.whisperx[299].start 8600.363
transcript.whisperx[299].end 8613.781
transcript.whisperx[299].text 這個明年度有關於這個推展全民運動等等的預算合計有大概有41億這個是114年的預算但是我是要請教一下主計長
transcript.whisperx[300].start 8615.663
transcript.whisperx[300].end 8637.596
transcript.whisperx[300].text 這個萬一這個財劃法按照國民黨版本通過之後那當然它是效果是在115年那如果就114年我們這個體育署的這個相關的運動的補助的話41億這個未來會不會受到影響我們原則上是全部如果要減的話應該是減半就減半
transcript.whisperx[301].start 8641.234
transcript.whisperx[301].end 8657.163
transcript.whisperx[301].text 就是說如果按照國民黨版本通過之後中央沒有這麼多的錢再來補助地方那所以說比如說114年的這個運動補助總共有41億所以未來有可能補助只能減半
transcript.whisperx[302].start 8658.308
transcript.whisperx[302].end 8669.26
transcript.whisperx[302].text 因為我以今年1143兆1來看的話一法律義務就1兆8嘛那減到一法律義務之後剩下一兆3那一兆3的部分我要減到6612億減掉之後我只剩下6500億左右
transcript.whisperx[303].start 8674.206
transcript.whisperx[303].end 8701.878
transcript.whisperx[303].text 所以這個部我一定是減半所以一般我就列出來一般就是說我基本需求的部分包括國防預算包括0到6歲的一個相關的一個補助包括我們體育的一個運動相關的一個都是以目前來講全部減半才有辦法符合這個需求這樣子因為被挖走了一半以上了嘛那所以說未來對於地方的補助大概也只能剩下一半那我在這個看這個
transcript.whisperx[304].start 8703.775
transcript.whisperx[304].end 8723.824
transcript.whisperx[304].text 資料這個或許這個你們有最新的資料如果按照國民黨的版本通過之後這個會不會發生說這個縣市他的預算的本來的預算的數這個會這個就是我們給他補助比他們本來他們自己縣市的這個年度預算還要多啊
transcript.whisperx[305].start 8725.028
transcript.whisperx[305].end 8745.155
transcript.whisperx[305].text 有多少?你們有算出來了嗎?應該大概有14到15個縣市它是超過就是說未來按照國民黨版本通過之後他們本來他們自己的稅出我們給他補助就是財務法通過之後給地方的補助會超過他們原來的這個縣市的這個政府的這個稅出就對了
transcript.whisperx[306].start 8748.996
transcript.whisperx[306].end 8769.873
transcript.whisperx[306].text 因為目前的版本是說我對縣市的補助要維持上年度的額度如果這樣子來維持的話那我一般縣市補助還包括統籌分配稅下去就有將近有15個地方它超過它的需求所以它剩下自由財源都是剩下的是這樣子等於是說
transcript.whisperx[307].start 8770.573
transcript.whisperx[307].end 8771.054
transcript.whisperx[307].text 我舉個例
transcript.whisperx[308].start 8786.873
transcript.whisperx[308].end 8792.68
transcript.whisperx[308].text 廉江縣本來年度預算是44億但是按照國民黨的版本撥給他們的補助會有69億超過他們的稅出預算25億以後會發生這種情況縣市高達15個那些多出來的錢要怎麼去用
transcript.whisperx[309].start 8809.017
transcript.whisperx[309].end 8836.133
transcript.whisperx[309].text 對所以現在就是說市權沒有相對的調整這是不公平因為原來省的業務的部分他說所謂15%的部分其實縣市的部分只有4.3%那11%的部分是屬於省的業務但是你現在撥出去的高達21%將近21%所以這個部分省的業務沒有市權沒有移回去包括全民健保包括老龍津貼通通還是中央在負擔
transcript.whisperx[310].start 8836.673
transcript.whisperx[310].end 8863.662
transcript.whisperx[310].text 所以這個部分對中央來講也是一個很大的一個負擔就是我們之前也談了好久就是錢跟權要一起來談所以就像主計長所講的有15個縣市我們給他未來的這個統籌分配款或是什麼補助款下去之後會比他原來的這個縣市政府的預算稅數還要多那現在也不知道說多了那些錢未來會做什麼那我們就很怕會
transcript.whisperx[311].start 8864.642
transcript.whisperx[311].end 8864.802
transcript.whisperx[311].text 委員會委員會委員會
transcript.whisperx[312].start 8879.733
transcript.whisperx[312].end 8895.945
transcript.whisperx[312].text 這個資訊來看有很多都是非法定社福但是這個涉及到當然有一些縣市政府他們覺得說我自己有錢我願意多給一些社會福利但這個不是我們法定的社福支出所以未來這種情況
transcript.whisperx[313].start 8896.866
transcript.whisperx[313].end 8925.216
transcript.whisperx[313].text 因為你多了這麼多錢嘛要嘛就兩種嘛非法定社福支出一定會增加福利大放售那是不是符合需求那就是要去做討論另外一個就是說地方的沒有必要的這個像文資館這種硬體的設備也有可能會增加因為你多了這麼多錢你不去執行的話變成你的執行率不高不好對啊那就是說就會發生這種事情了是不是
transcript.whisperx[314].start 8926.325
transcript.whisperx[314].end 8953.929
transcript.whisperx[314].text 那再跟委員報告其實我們有一部分的前瞻PEW軌道建設的一些經費將近有4000多億一直也還沒有編上去那這個部分也會嚴重影響到那其實這個部分影響的比較多的就是整個六都因為它大部分都是跨域的所以一般它的一個軌道的建設也受到很大重大的影響因為到時候中央完全沒有能力來負擔這些啊對啊像我新北我現在三重有個北環要接台北
transcript.whisperx[315].start 8954.609
transcript.whisperx[315].end 8977.746
transcript.whisperx[315].text 最後會接到士林、內湖那邊去我也不曉得說以後我看前瞻是有在補助啦那未來中央還有這個能力做補助嗎?因為他還沒有編完的部分全部前瞻已經結束了所以將來是要納到總預算裡面去編列那這個部分已經沒有能力去編列所以必須一定是這個部分就要修正一個補助的比率
transcript.whisperx[316].start 8978.406
transcript.whisperx[316].end 8994.511
transcript.whisperx[316].text 因為其實我上次有問過就是說你本來是財劃法沒有通過之前我們有一定的補助比率但是你如果說按照國民黨的財劃法通過之後你補助比率就修正啊因為你沒有這麼多錢啊你想要補助你都沒有這麼多錢可以補助啊
transcript.whisperx[317].start 8997.296
transcript.whisperx[317].end 9016.726
transcript.whisperx[317].text 日前監察院秘書長李巨毅備詢時表示,就112年度而言,審計部總共提出1760項地方政府的財政問題,包括非社福法定支出、法定社福支出、文資管等
transcript.whisperx[318].start 9018.487
transcript.whisperx[318].end 9036.343
transcript.whisperx[318].text 然後監察院就會挑其中嚴重的案子再給予調查那我這個就要請教這個審計長這1760項的地方財政問題主要是哪些東西哪些內容是有共通的現象嗎這個你們有去查出來嗎好委員謝謝
transcript.whisperx[319].start 9041.4
transcript.whisperx[319].end 9046.003
transcript.whisperx[319].text 我們這1760項大概我們都有一個規定內部審核的問題有110項計劃預算族型的問題有1116項財務管理的事情有184項產銷營運有79項採購作業有165項事務管理有106項
transcript.whisperx[320].start 9065.835
transcript.whisperx[320].end 9082.205
transcript.whisperx[320].text 大概我們都共通性的都有像那個公共債務的比例以法定債限的問題剛剛委員有講到新增後扣增非法定社福的問題像112年度就增加了63例
transcript.whisperx[321].start 9083.426
transcript.whisperx[321].end 9098.015
transcript.whisperx[321].text 那被主計總處就扣減補助款2億這個大概我們都這方面我們都有一些查或者送監察案或者移送檢料那以後財劃法通過之後這種現象會不會更嚴重
transcript.whisperx[322].start 9100.317
transcript.whisperx[322].end 9119.853
transcript.whisperx[322].text 這可能要好好的中央和地方的財政還有剛剛委員講的市和錢還有主計長憂心的因為他要把這個總預算編好所以一向那個一般性他因為一般性補助款和計劃型補助款就佔了因為地方
transcript.whisperx[323].start 9121.654
transcript.whisperx[323].end 9129.699
transcript.whisperx[323].text 最近都是靠計劃性補助款和統籌分配稅款向114年度就移域下去如果不能動
transcript.whisperx[324].start 9130.814
transcript.whisperx[324].end 9158.167
transcript.whisperx[324].text 主計長就會相當跟這個這一本總預算明年的總預算編的話他是錢會編不出來沒有地方再給地方那你這邊的問題有可能是說那地方拿到這些錢之後有可能會亂用這變成是你那邊的問題對這個方面如果錢下去我們會加強力道我們反正你只要動用國家資源我們一定會加強來查核
transcript.whisperx[325].start 9159.628
transcript.whisperx[325].end 9167.555
transcript.whisperx[325].text 主計長,今年度的經濟成長率,八月預測是3.9,全年是3.26,這是八月份預測的。現在有沒有最新的資料,今年度全年的經濟成長率大概是多少?
transcript.whisperx[326].start 9185.249
transcript.whisperx[326].end 9201.086
transcript.whisperx[326].text 目前大概應該會再往上提升因為第三季他的表現很好所以整個前三季的一個是百分之五點多那我們本來初步第四季是差不多一點多那整個平均起來應該有望再往上提升就是會破四就對了
transcript.whisperx[327].start 9202.368
transcript.whisperx[327].end 9228.848
transcript.whisperx[327].text 嚴則上應該會因為我昨天在一個場合有聽總統在講他對於這個經濟成長很有信心他說有望年度的經濟成長會破市這個資訊應該是你有給他吧不然總統也不會說這個自己講出來吧因為我們明後天才要公布這個數字我們不方便在這裡說但是看起來是這個趨勢是朝上的有機會破市就對了趨勢是朝上謝謝主席
transcript.whisperx[328].start 9230.815
transcript.whisperx[328].end 9231.636
transcript.whisperx[328].text 吳立華議員主席主席
transcript.whisperx[329].start 9251.789
transcript.whisperx[329].end 9268.138
transcript.whisperx[329].text 委員好主計長您好這個預算會期進法補償是一個非常熱門討論的議題可能過去沒有人知道什麼是進法補償除了一些原住民朋友
transcript.whisperx[330].start 9269.119
transcript.whisperx[330].end 9269.88
transcript.whisperx[330].text 委員會主席
transcript.whisperx[331].start 9285.64
transcript.whisperx[331].end 9306.191
transcript.whisperx[331].text 但是大家也很好就是可以有機會好好的上一課到底什麼是基金什麼是禁法補償但是在這個當中我還是要強烈的去表達在這個過程我們看不到原民會他作為一個
transcript.whisperx[332].start 9307.574
transcript.whisperx[332].end 9331.831
transcript.whisperx[332].text 目的事業主管機關又或者是我們基金的主計總處去有強而有力很及時的去能夠做出清楚的回應我覺得這個部分我在這一次看到是需要來好好加強的所以我今天我也要在這個地方就是請教一下
transcript.whisperx[333].start 9333.995
transcript.whisperx[333].end 9348.085
transcript.whisperx[333].text 因為在11月25號內政委員會原民會的預算審查中有委員提到這樣的一段話我們的政府105年有撥基金以後106到114年都沒有撥給
transcript.whisperx[334].start 9352.634
transcript.whisperx[334].end 9370.268
transcript.whisperx[334].text 所以我們在談禁法補償不能使用基金來發是因為我們看到基金已經短處67.66億因此禁法補償全部要由公務預算來編列如果就這段話來看我們來看一個表格
transcript.whisperx[335].start 9371.571
transcript.whisperx[335].end 9398.001
transcript.whisperx[335].text 這個表格是我跟主計總處所資的確實我們看一下在增撥基金這個地方從開始有重發基金97年度一直到105年度我們可以看到以下106之後是撥補基金是空白的以至於我們可以聽得到說106到114都沒有撥
transcript.whisperx[336].start 9401.229
transcript.whisperx[336].end 9425.505
transcript.whisperx[336].text 所以我們進發補償不能使用基金發是因為已經短處了可是我們看它的另外一列另外一行有補助收入從97年度一直到113年度每一年都有補助收入到基金所以我想請教主計長
transcript.whisperx[337].start 9427.473
transcript.whisperx[337].end 9434.458
transcript.whisperx[337].text 這個增波基金為什麼到105之後就沒有什麼原因請你說明
transcript.whisperx[338].start 9435.334
transcript.whisperx[338].end 9460.271
transcript.whisperx[338].text 因為當初是有說要到擴大規模逐年編到100億是那所以我們就撥到100億到105年就撥了100億然後這整個讓基金讓他去做運作是然後他運用那如果將來運用結果是剩下譬如說有不足的部分像很多的基金我們也都是這樣的一個狀況那我們在逐年再去做撥補啦再做撥補
transcript.whisperx[339].start 9461.873
transcript.whisperx[339].end 9481.814
transcript.whisperx[339].text 所以現在如果說以那個淨化補償的一個部分就是會剛剛有一個補償補助收入的一個部分那我們就透過補助收入這樣子的一個方式來做淨化補償的一個金額的一個所以他也是透過基金來轉發這樣子淨化補償所以我整理一下主計長您說的是
transcript.whisperx[340].start 9483.436
transcript.whisperx[340].end 9491.107
transcript.whisperx[340].text 因為原住民族綜合發展基金預定水位是100億所以撥補到105年度的時候已經滿100億的水位我看到這邊是140億
transcript.whisperx[341].start 9500.343
transcript.whisperx[341].end 9521.208
transcript.whisperx[341].text 對,那個部分我們原則上是這樣子啦到105年累積增撥基金的部分是100億就是有達到100億吧對,然後我們後來又有陸陸續續那個部分都是屬於那個補助收入的部分那我再整理一下您的話也就是說增撥撥補滿100億之後
transcript.whisperx[342].start 9524.429
transcript.whisperx[342].end 9540.814
transcript.whisperx[342].text 我們還是可以繼續用補助收入是的好那累計到現在是199億是那我再請教一下齁那當我們說進法補償不能用基金發是因為基金已經短處67.66億我想請主計長你說明一下這個短處67.66億是什麼意思
transcript.whisperx[343].start 9549.278
transcript.whisperx[343].end 9574.076
transcript.whisperx[343].text 一般就是說我們當年度的一個收入和支出如果收支不能相抵它就會出現當年度會有短促的現象那這種就會累總到基金的一個餘額去那因為我們基金餘額總共是100億所以目前來講的話它是67億但是整個基金總數它還有剩餘還有30幾億的一個餘額所以如果要付淨華補償是夠的是足夠支應的
transcript.whisperx[344].start 9576.758
transcript.whisperx[344].end 9577.921
transcript.whisperx[344].text 所謂的短處67.66億是指當年度的收跟入
transcript.whisperx[345].start 9586.717
transcript.whisperx[345].end 9607.315
transcript.whisperx[345].text 以我們原民會的基金的使用大部分是拿去做貸款的發放絕大部分所以他每一年度發去做貸款的很多但是收回來的很少是這個意思嗎請問我們原民會的貸款預放比現在已經來到多少
transcript.whisperx[346].start 9613.553
transcript.whisperx[346].end 9636.995
transcript.whisperx[346].text 已經有降低了以往是比較已經降低到本來是12.8現在已經降低到6.55了所以我們其實逐年在改善已經在改善了嘛我知道的是曾經高達到20嘛現在已經逐年逐年去年十幾今年已經6.7嗎6.55那改善得非常好啊
transcript.whisperx[347].start 9638.417
transcript.whisperx[347].end 9652.538
transcript.whisperx[347].text 那這個部分我還是要請主計長說明那如果我們提到你剛剛已經解釋什麼叫做短處就是當年度的收根入那會因為基金短處就無法辦理這個基金的業務了嗎?
transcript.whisperx[348].start 9653.719
transcript.whisperx[348].end 9671.078
transcript.whisperx[348].text 因為你要看累積啦所以累積我本身當初播100億的一個基金的總額嘛那累積它目前67的一個短數它每一年會逐漸累積然後這樣子相抵之後我還有三十幾億啊那再請教現在我們很高興
transcript.whisperx[349].start 9673.713
transcript.whisperx[349].end 9700.112
transcript.whisperx[349].text 過去是公務加基金那大家不滿意全數以後用公務預算編我們也很高興但是請教一下主計長全部用公務預算編那最終也是要回到基金去發嗎是是所以因為就是因為這樣我們以往都是透過基金來發放然後都是當作補助收入撥到基金去然後由基金整個發放那可以不回到基金發嗎
transcript.whisperx[350].start 9701.892
transcript.whisperx[350].end 9730.174
transcript.whisperx[350].text 也是可以啦 也是可以啦那會有什麼影響現在就是這樣子啦 譬如說因為如果說它本身每一年面積會有一些增減那你如果在基金裡面它的彈性比較大但是在公共預算裡面它的彈性比較小所以您的意思是說基金的好處是有彈性而且可以隨時撥補而且可以拿去投資
transcript.whisperx[351].start 9731.858
transcript.whisperx[351].end 9750.165
transcript.whisperx[351].text 投資到沒有啦因為他這裡面就是幾個幾個就是一個就是淨華補償嘛那一個就是一個貸款的一個部分所以我們的重發基金這些錢還沒有撥補進來的時候補助進來的時候其實並沒有拿去做投資
transcript.whisperx[352].start 9751.673
transcript.whisperx[352].end 9768.916
transcript.whisperx[352].text 目前沒有做投資那再請教一下喔那如果說我們的重發基金他有很多使用的項目我們再發這個進法補償金他會去影響其他既有的其他的項目嗎
transcript.whisperx[353].start 9770.448
transcript.whisperx[353].end 9795.94
transcript.whisperx[353].text 應該不會啊,他不會因為年度的短促因為他基金現在還有一個所以基金他有單獨的一個補助收入的來源他做他的事他不會去影響原來基金那些要做的事情不會好,那我就要問啦那我們自從有了財政紀律法之後他有提到第7條
transcript.whisperx[354].start 9798.131
transcript.whisperx[354].end 9811.251
transcript.whisperx[354].text 不得增訂固定經費額度或比率保障那對於這個部分不曉得我們之前的花東基金、離島基金他們目前的狀況如何
transcript.whisperx[355].start 9812.43
transcript.whisperx[355].end 9840.385
transcript.whisperx[355].text 他們現在以前都是有限定說要到金額多少但是每一年他逐漸都會使用掉會基金逐漸減少那但是我們每一年都依照實際的需求去做編列而沒有說像給他撥補一定的額度說要多少因為這樣子的話我是有點浪費公家的一個裁員因為為什麼因為我要去擠債他的利息是比那個還要高所以我這個部分所以主計長您的意思是說
transcript.whisperx[356].start 9841.425
transcript.whisperx[356].end 9848.03
transcript.whisperx[356].text 有了財政紀律法之後這個花東離島基金它也是用補助收入的方式進來
transcript.whisperx[357].start 9849.498
transcript.whisperx[357].end 9877.855
transcript.whisperx[357].text 我們一般都是編列也不一定說是補助收入啦就是循預算程序循預算程序來撥補那撥補讓他去做運用是這樣子好那我在這邊最後就是停留因為很多人說短處的原因就是淨法補償因為發放淨法補償所以導致重發基金短處所以呢我們不應該
transcript.whisperx[358].start 9879.216
transcript.whisperx[358].end 9892.905
transcript.whisperx[358].text 去投獲我們的基金來發放淨法補償那現在我們看到有一個主決議就是要求分三年去把這個短處的67.66億補回來了那我不曉得說主計長您對這樣的一個看法
transcript.whisperx[359].start 9899.246
transcript.whisperx[359].end 9901.987
transcript.whisperx[359].text 總而言之我只是要提醒我們的主計總處
transcript.whisperx[360].start 9918.451
transcript.whisperx[360].end 9919.132
transcript.whisperx[360].text 委員會主席
transcript.whisperx[361].start 9934.848
transcript.whisperx[361].end 9949.925
transcript.whisperx[361].text 這麼了解基金所以我們很希望我們站在質詢台上也好或者是我們在做政策的說明也好我們應該要能夠撥亂反正提供正確的訊息給予解決的方向
transcript.whisperx[362].start 9950.566
transcript.whisperx[362].end 9971.852
transcript.whisperx[362].text 那我們的目的其實並無二致我們都是希望解決問題但是在這個當中我希望我們的主計總處能夠好好的發揮我們這個導政的角色那主計長可以嗎是我希望未來站在第一線上我們都要做好這個角色好謝謝主計長謝謝主席謝謝接著我們請王世堅委員那個質詢
transcript.whisperx[363].start 9990.369
transcript.whisperx[363].end 9993.25
transcript.whisperx[363].text 主席主席主席主席主席主席
transcript.whisperx[364].start 10011.618
transcript.whisperx[364].end 10030.737
transcript.whisperx[364].text 不管是中央總預算的合編、特種基金的合編以及會計決算業務那各種統計業務等等就是以詳實最重要不能失真啦簡單講主計處
transcript.whisperx[365].start 10035.362
transcript.whisperx[365].end 10061.935
transcript.whisperx[365].text 不是政府的化妝師這一句話你要記下來也就是說如果你統計的這些數字失真的話而且跟民間的感受全然不符的話那人民就會覺得說主計長你在幫政府化妝啊擦胭脂抹粉我們
transcript.whisperx[366].start 10063.547
transcript.whisperx[366].end 10088.352
transcript.whisperx[366].text 任何一個政黨尤其現在民進黨的執政不需要任何化妝師我們是光明磊落的漢子該怎麼樣你要表達嘛社會真實的情況你要表達所以我列出幾個數字你看看齁光是消費者物價指數CPI啦那麼跟消費者信心指數
transcript.whisperx[367].start 10089.557
transcript.whisperx[367].end 10117.281
transcript.whisperx[367].text 那很清楚這一年多來尤其啊這半年物價指數是繼續上升那麼信心指數是下降消費者信心指數當然包括大家投資股票家庭經濟狀況、國內經濟景氣、就業機會、購買耐久財等等這些這幾個指標通通下滑通通下滑那
transcript.whisperx[368].start 10119.065
transcript.whisperx[368].end 10144.69
transcript.whisperx[368].text 消費這個CPI這個物價指數這個已經達到通貨膨脹的警戒線啦已經達到警戒線了那另外我要跟你提到的就是說這個房租房租的指數那房租指數啊這是嚴重失真啊
transcript.whisperx[369].start 10145.68
transcript.whisperx[369].end 10158.476
transcript.whisperx[369].text 怎麼講呢上一任的主計長我就跟他提到這個問題他說好回去他查查看民間調查的房租的漲幅跟我們
transcript.whisperx[370].start 10159.898
transcript.whisperx[370].end 10187.391
transcript.whisperx[370].text 主計處調查差了5.5倍之多啦那民間的你看民間他用的方式喔臺大經濟的碩士李祖福先生他發表一篇論文他去研究這個關於租金的那個漲幅他研究的他是去調查他是去調查595租屋
transcript.whisperx[371].start 10189.305
transcript.whisperx[371].end 10198.511
transcript.whisperx[371].text 595租屋網站裡面所列的107萬筆這107萬筆的調查下來它的租金漲價指數是高達3.56到3.58而同一個時期我們主計總處我們調查的竟然竟然0.64而已那
transcript.whisperx[372].start 10218.526
transcript.whisperx[372].end 10237.322
transcript.whisperx[372].text 這個臺北市臺北市政府今年的6月他又查了他查的他是以實價登錄實價登錄這個臺北市區住宅案件為基礎實價登錄去查的租金的漲幅也是年增率高達5.83
transcript.whisperx[373].start 10240.339
transcript.whisperx[373].end 10263.262
transcript.whisperx[373].text 那同樣那個時期我們調查的主計處你所調查公布出來你沒有針對六都個別城市但是你調查的所謂北區那這跟臺北市比較接近是竟然只有2.222.22這個指數等於不到一半之多啦你們調查的
transcript.whisperx[374].start 10264.261
transcript.whisperx[374].end 10277.344
transcript.whisperx[374].text 那更扯的是那有更多我們中央單位也查的提供給你們的像內政部內政部提供給你們是30萬筆耶天啊不是3萬筆5萬筆他提供30萬筆包租代管那麼主計總處你們查的是1350筆那誰比較有代表性
transcript.whisperx[375].start 10293.997
transcript.whisperx[375].end 10317.79
transcript.whisperx[375].text 這很清楚啦這沒辦法去說服民眾說啊主計處我1350筆下去計算的會強過你內政部提供的30萬筆這不可能的事情嘛所以民間慢慢的會覺得說主計處的統計失真那主計處你統計失真這差別在哪裡因為
transcript.whisperx[376].start 10319.485
transcript.whisperx[376].end 10338.061
transcript.whisperx[376].text 你代表的是我們整個中央政府該去詳實調查的部分你調查出來的資料是要給中央政府來作為施政推動各項政策的最重要的參考所以如果你施政這一方面政府的威信蕩然無存
transcript.whisperx[377].start 10339.465
transcript.whisperx[377].end 10365.302
transcript.whisperx[377].text 二方面我們應該研擬怎麼樣的對策那這些對策的前提是錯誤的數字這怎麼會有好的對策不是這樣嗎所以要面對真實把真實找出來我剛剛提到人類政部他光包出貸款這30萬筆那你們為什麼為什麼不好好去做研究那
transcript.whisperx[378].start 10367.116
transcript.whisperx[378].end 10389.505
transcript.whisperx[378].text 你們更新你們調查的數字每年都大概更新大概100戶左右所以你樣本數少那樣本也不合時去更新當然你出來的數字跟民間的就會差很多所以主計長你的看法
transcript.whisperx[379].start 10390.575
transcript.whisperx[379].end 10392.817
transcript.whisperx[379].text 法定人數不足
transcript.whisperx[380].start 10404.821
transcript.whisperx[380].end 10405.662
transcript.whisperx[380].text 等於就是低估了
transcript.whisperx[381].start 10425.037
transcript.whisperx[381].end 10440.203
transcript.whisperx[381].text 整個物價上漲率嗎?不是這樣嗎?報告委員因為以我們來講我們的一個調查是屬於基本資料一個調查那重點是說剛剛談到的北市的比較偏高的部分它有一部分是屬於營業的一個租金
transcript.whisperx[382].start 10440.723
transcript.whisperx[382].end 10465.973
transcript.whisperx[382].text 那一、二的租金它就會比較偏高但是一般家庭的住戶的租金就會比較低那所以我們一般我們跟內政部的調查的數字內政部的調查也是2點多跟我們大部分是接近那我們這個部分是最基礎的資料那如果有一些針對業務性它要做的一個調查的部分會有各部會的一個統計的部分來做調查那所以這個部分也特別跟委員來做一個說明
transcript.whisperx[383].start 10467.776
transcript.whisperx[383].end 10483.39
transcript.whisperx[383].text 你這一個部分你私下來做一些補充說明我了解到的是內政部的資料你們說這個房屋規格不宜但是30萬筆好過你才取樣1350筆而且這1350筆你還是每年只更新100筆的資料
transcript.whisperx[384].start 10492.238
transcript.whisperx[384].end 10518.004
transcript.whisperx[384].text 這差距太大了那調查目的也不一樣我們也特別再跟委員你來報告這樣子因為實際我們國家我們租屋的人口數高達300萬人所以你區區的你只抽1350戶那這當然沒有代表性啊300萬的國民租屋你抽1350戶
transcript.whisperx[385].start 10523.407
transcript.whisperx[385].end 10544.798
transcript.whisperx[385].text 這個任何人來評估都認為這個不夠這個差距太遠了吧所以現在小市民的感受就是這幾年的房租上漲的壓力房租隨著房價這樣飆升房租也跟著形成我們小市民很大的一個生活壓力而
transcript.whisperx[386].start 10545.658
transcript.whisperx[386].end 10569.175
transcript.whisperx[386].text 政府對此束手無策束手無策照說應該要根據詳實的資料來詳列如何解決的方式才對所以我最後跟你提這一點只有審計處人家他們有去查到他看法我跟他看法完全一致審計部他建議恢復改善所得分配專案小組
transcript.whisperx[387].start 10570.797
transcript.whisperx[387].end 10578.103
transcript.whisperx[387].text 他建議他積極的建議我在第一次質詢上個會決說我就認為說應該把這個小組應該恢復為什麼因為這個小組恢復他可以落實來執行協調各部會督導各部會針對
transcript.whisperx[388].start 10592.718
transcript.whisperx[388].end 10614.595
transcript.whisperx[388].text 針對改善所得那應該做的哪一些計畫你總要有個總協調人嘛所以我認為改善所得分配的專案小組一定要出來因為現在我們收入後端20%的收入跟前端20%的收入差了66.9倍
transcript.whisperx[389].start 10618.723
transcript.whisperx[389].end 10619.584
transcript.whisperx[389].text 三十年前的16.8倍不準
transcript.whisperx[390].start 10642.522
transcript.whisperx[390].end 10649.185
transcript.whisperx[390].text 現在的66.9倍很準因為資料本身是比較簡單一點那就這一句就夠了就66.9倍是準的嘛那主計長你認為我們國民收入
transcript.whisperx[391].start 10657.549
transcript.whisperx[391].end 10672.944
transcript.whisperx[391].text 相差66.9倍你認為對嗎這是指有包括財產的部分所以今年大部分把財產納進來的部分就是屬於它有一些實價登錄的部分價格有進來所以這個部分有資料有收集所以這把財產納進來才會有這麼高是這樣
transcript.whisperx[392].start 10675.947
transcript.whisperx[392].end 10680.568
transcript.whisperx[392].text 財產納進是以資本財去賺的收入我認為你應該遵照審計部做的建議要求以及本席我相信還有其他立委都會跟你要求就是說我們應該恢復這個
transcript.whisperx[393].start 10699.155
transcript.whisperx[393].end 10717.573
transcript.whisperx[393].text 改善所得分配小組這樣子的一個專案小組應該恢復讓他詳實落實去督導各部會針對改善所得這個部分做詳實的計畫這樣才對謝謝委員指教我們會檢討來評估最後一句你好好的回去
transcript.whisperx[394].start 10719.127
transcript.whisperx[394].end 10732.917
transcript.whisperx[394].text 把審計部的很多項建議好好看一看有感覺上審計部比你們用功多、認真多謝謝謝謝事件委員接著請羅民財委員質詢主席、各位委員、主席、各位委員請主計長
transcript.whisperx[395].start 10748.65
transcript.whisperx[395].end 10762.766
transcript.whisperx[395].text 請主計長陳主計長委員好你好的確國內的貧富懸殊啊越來越大那一葉知秋啊
transcript.whisperx[396].start 10763.547
transcript.whisperx[396].end 10782.4
transcript.whisperx[396].text 我們看到美國總統的選舉很多人說拜登為什麼這一方面會輸川普會上主計長你覺得最大的意涵在哪裡?主要是通貨膨脹物價有漲太多其實就是美國的美國夢
transcript.whisperx[397].start 10793.252
transcript.whisperx[397].end 10822.142
transcript.whisperx[397].text 現在已經消失了過去美國追求的就是財富的自由他們追求的就是大概都生活在相同的理念以及所有的環境或者是你的生活、車輛等等有車有房這個都是大家通通都有但是結構一直在改變就是因為
transcript.whisperx[398].start 10823.819
transcript.whisperx[398].end 10842.432
transcript.whisperx[398].text 貧富懸殊越來越大臺灣現在最有錢跟沒有資產的這個相差的比例是多少?他目前基尼西數啊他是差倍66.966倍啊這個差距大不大?
transcript.whisperx[399].start 10843.629
transcript.whisperx[399].end 10870.551
transcript.whisperx[399].text 以目前來講因為我們也跟其他外國來比事實上也不算最高的但是這是自由經濟發展的一個必然的一個成果所以這個部分我們也盡量要來做如果你說的自由經濟發展最後的終點是貧富懸殊越來越大甚至是100倍是1000倍那主計長
transcript.whisperx[400].start 10871.755
transcript.whisperx[400].end 10896.881
transcript.whisperx[400].text 那你這樣的一個自由經濟發展一定要趕快來做調整不然社會的動盪社會的不穩定馬上就出現就好比說現在物價飆漲房價高漲那主計長我請問你租房子的租屋族大概有多少人?
transcript.whisperx[401].start 10900.081
transcript.whisperx[401].end 10906.563
transcript.whisperx[401].text 幾百萬戶?一百萬戶三百萬的人,這些年輕人比較多數在租房子這個認證念書畢業以後為了工作在雙北、在六都工作就要租房子
transcript.whisperx[402].start 10928.697
transcript.whisperx[402].end 10944.656
transcript.whisperx[402].text 那主計長房價有沒有飆漲有最近房價有沒有比較往下掉目前是有啦有吧齁往下掉主計長我請問你那為什麼房租沒有掉
transcript.whisperx[403].start 10947.355
transcript.whisperx[403].end 10976.227
transcript.whisperx[403].text 其實房租的部分我再補充說明一下因為我們統計調查的結果整個在需求上面有需要租屋的需求我們統計調查的數字大概87萬左右那所以我們本身最近在做一個有一些租屋補貼的一些政策那這一個部分目前大概也都是超過60萬以上的一個補助是這樣子對 但是覺得很奇怪打房不是政府說打房已經見效了嗎
transcript.whisperx[404].start 10977.421
transcript.whisperx[404].end 10996.016
transcript.whisperx[404].text 成效出現房價開始緩或是跌那你房租應該要降啊不然你沒有想辦法看有什麼策略讓300萬的租屋族他住得起他生活得起心智都沒漲啊
transcript.whisperx[405].start 10997.97
transcript.whisperx[405].end 11025.762
transcript.whisperx[405].text 薪資是有漲喔,薪資是有漲一到九月的薪資它整個一個實質如果扣除通膨它實際是成長的好,你說薪資有漲,漲幾%這個部分它扣除通膨明目超過2%實質也在一點多%就是明目有超過2%啦,實質也一點多%這樣子啦你就漲那個一點多%不痛不癢
transcript.whisperx[406].start 11027.694
transcript.whisperx[406].end 11056.724
transcript.whisperx[406].text 就算你漲個你說的2%所有的民眾感覺是難過的啊因為你薪資漲1%漲2%抵不過我吃的那個雞腿便當抵不過我每天工作中午晚上吃的排骨便當啊排骨台那個排骨便當1000一個便當也才
transcript.whisperx[407].start 11058.1
transcript.whisperx[407].end 11083.662
transcript.whisperx[407].text 六、七十塊現在一個排骨便當要多少錢排骨便當的話火車站附近就是一百塊一百塊喔?阿雞腿便當一百二十塊阿本來六十塊漲一百塊漲四十塊欸主計長阿超過去六七十趴捏然後你說薪資成長才兩趴跟你講三趴好了
transcript.whisperx[408].start 11086.012
transcript.whisperx[408].end 11113.392
transcript.whisperx[408].text 遠遠追不上物價的飆漲這個是扣除物價的成長總之啊是主計長是很多官員來這邊啊是鐵打的政府、流水的官啊流來流去反正我就在這邊待個兩年、三年時間到下台一鞠躬沒什麼事可是國家的發展是要永續的啊是
transcript.whisperx[409].start 11114.329
transcript.whisperx[409].end 11142.586
transcript.whisperx[409].text 拜託啊,貧富懸殊要怎麼樣縮短它的差距不是要叫大家貧喔你們政府就要想方法讓大家全部都富起來時代在變政府很多官員的心態一直沒有調整沒有與時俱進是主計長是你有沒有買比特幣沒有
transcript.whisperx[410].start 11144.892
transcript.whisperx[410].end 11173.538
transcript.whisperx[410].text 你沒有啊政府有沒有鼓勵大家買比特幣一般也是不鼓勵啦從頭到尾都反對啊所以我舉例的這個新興的產業因為政府的阻止政府的不輔導讓很多年輕人啊少掉致富的機會
transcript.whisperx[411].start 11179.754
transcript.whisperx[411].end 11201.712
transcript.whisperx[411].text 虛擬貨幣這些交易或這次成長老扣扣都不知道啦最有機會接觸的就是這些年輕人政府又全盤的封殺主計長如果政府從10年前就開始給予適當的空間合法合規的輔導主計長你知道
transcript.whisperx[412].start 11205.229
transcript.whisperx[412].end 11230.172
transcript.whisperx[412].text 這10年來 虛擬貨幣、比特幣的成長成長了幾倍?因為有時候高風險高報酬啦成長了幾倍?主計長成長了1萬倍換言之10年前你如果讓這些年輕人他去接觸他有機會可以賺到錢
transcript.whisperx[413].start 11232.64
transcript.whisperx[413].end 11257.25
transcript.whisperx[413].text 結果你封殺了這些年輕的機會造成了過去在整個結構裡面富者橫富、貧者越貧所以你就拉開不斷的拉開了財富的差距我們就要說政府要用新的思維
transcript.whisperx[414].start 11259.864
transcript.whisperx[414].end 11287.066
transcript.whisperx[414].text 來多想一些辦法來鼓勵年輕人讓年輕人活在臺灣是有希望的讓未來社會的結構不要產生矛盾是要更和諧的這個才是你們每年編預算的一個重要的宗旨最後再問一個問題軍公教人員待遇的問題是我最關心的
transcript.whisperx[415].start 11288.732
transcript.whisperx[415].end 11317.684
transcript.whisperx[415].text 我希望每一年政府稅收都超徵今年超徵多少這個部分目前大概應該是三千多億吧三千多億本席一直主張每一個人發紅包一萬塊你們已經開始做了沒這個部分一個幾萬塊大家都會心存感激謝謝政府謝謝主計長
transcript.whisperx[416].start 11319.468
transcript.whisperx[416].end 11348.53
transcript.whisperx[416].text 你與其把錢亂亂花倒不如拿一萬塊讓大家花放在自己的口袋更安心更安全而不是每一次你們來立法院拿著五張紙就叫所有的立委說台電缺錢你要撥補一千億趕快趕快通過不要吧不要做這個該做的你要做所以說超增就還稅於民啊
transcript.whisperx[417].start 11349.878
transcript.whisperx[417].end 11368.705
transcript.whisperx[417].text 我們優先來還債還債可以部分的還啦然後你那個有一些不該花的一些軍購買了半天東西也沒到買的有的還沒過期的買的還被中間的前客A了一筆那個都很大條欸
transcript.whisperx[418].start 11371.223
transcript.whisperx[418].end 11400.268
transcript.whisperx[418].text 我希望主計長你多好好思考一下像臺電你一直要一千億那請問臺電有沒有做到開源節流現在核四做不做這個部分我們會請臺電來做檢討現在核四已經停掉嘛那核四做不做這個部分也必須要他們來做一些檢討之後你就算做不做你知道那個核四廠那個地有多大
transcript.whisperx[419].start 11404.11
transcript.whisperx[419].end 11433.599
transcript.whisperx[419].text 已經閒置在那邊多久?不信你問審計長一些土地閒置在那邊那一些老舊設備又不提升開園沒做、節流也沒做唯一想的就是趕快要錢要錢這樣的心態我們怎麼樣願意把一千億就隨便你們說了五張紙的報告我們就通過讓你們拿一千億去用拜託啊
transcript.whisperx[420].start 11435.115
transcript.whisperx[420].end 11441.216
transcript.whisperx[420].text 錢要花在刀口上省一點用這是民脂民膏啊拜託謝謝謝謝民財委員接著請黃國昌委員質詢謝謝主席麻煩請找主計長跟審計長主計長跟審計長
transcript.whisperx[421].start 11466.741
transcript.whisperx[421].end 11495.271
transcript.whisperx[421].text 委員好兩位好最近這段時間在審預算也發生了很多的事情我們回去最基礎的教科書告訴我們財政是國家肅政之母我們建立了預算的制度、會計的制度、決算的制度最後到審計就是希望看好人民的荷包、錢不要亂花
transcript.whisperx[422].start 11496.601
transcript.whisperx[422].end 11514.662
transcript.whisperx[422].text 延續著上一次質詢的主題我最近陷入了迷惘我陷入了迷惘是說從預算到會計到決算到最後的審計我們有做到這件事嗎我們到底要怎麼做才可以防止政府機關
transcript.whisperx[423].start 11516.664
transcript.whisperx[423].end 11539.373
transcript.whisperx[423].text 隨便亂花人民的錢胡搞瞎搞整個制度有沒有辦法追究責任我上次跟主計長報告如果在我們現行的制度之下一切合法對不起啊我很難接受為什麼這樣講我上次講的啊是園民會的主委花145萬出個人成果專刊結果
transcript.whisperx[424].start 11543.26
transcript.whisperx[424].end 11571.71
transcript.whisperx[424].text 主計總處說預算經費的使用要符合計畫內容一開始預算書根本沒寫這個東西啊沒寫又怎麼樣我愛花就花我就是要這樣花結果我去調資料才知道從其他的項目隨便撥來給他個人出寫真集這件事情啊審計部你們那個專案的審計做了沒有
transcript.whisperx[425].start 11574.031
transcript.whisperx[425].end 11599.992
transcript.whisperx[425].text 結果什麼時候會出來今天會送給委員今天送給我嘛除了這件事情以外接下來還有主要請審計長我可以老實跟審計長講過去這一兩年審計部是少有的政府機關在民間社會得到肯定審計部是少有的政府機關在民間社會得到肯定
transcript.whisperx[426].start 11600.97
transcript.whisperx[426].end 11623.301
transcript.whisperx[426].text 我今年在處理監察院的預算的時候你們到時候看我預算提案就知道監察院我是大砍我唯一支持的只有審計部因為你們有在做你們的工作但我必須要跟審計長講的事情是可能你們在做這些工作的時候再認真
transcript.whisperx[427].start 11625.163
transcript.whisperx[427].end 11645.676
transcript.whisperx[427].text 還是有你們沒有辦法處理的問題啊因為監督政府機關預算的執行審核財務收支考核財務效能全部都是你們審計部的責任嘛對好來看一下一個分署長的辦公室啊
transcript.whisperx[428].start 11646.843
transcript.whisperx[428].end 11655.364
transcript.whisperx[428].text 可以裝潢成這個樣子花145萬啊花145萬啊審計部知不知道這是什麼向下支出的
transcript.whisperx[429].start 11657.48
transcript.whisperx[429].end 11681.915
transcript.whisperx[429].text 這個因為在他的一般行政裡面啊救安基金的一般行政裡面我們正在整個在瞭解審計部有在瞭解嗎有出公函給他了需要多久我們原則上啊一個月裡面把這個事情啊弄清楚一個月我們沒那麼久啦兩星期好不好那我們的會加油啦盡量有照片加油啦錢這樣花喔
transcript.whisperx[430].start 11685.334
transcript.whisperx[430].end 11711.514
transcript.whisperx[430].text 錢可以這樣花一個分署長搞成這個樣子我們現在在財務責任上完全不控管是不是更離譜的是我可能要拜託審計長納入你們審計的項目之一我找了半天這到底是什麼標案結果標案的名稱寫得很漂亮叫做新莊本部空間美化整修工程
transcript.whisperx[431].start 11712.759
transcript.whisperx[431].end 11731.152
transcript.whisperx[431].text 一般的人看了新莊本部空間美化整修工程會覺得說啊這個是在美化整個勞動分署的辦公空間光看這個標案根本不知道原來在美化的是什麼分署長的辦公室來再請審計長看一下右手邊
transcript.whisperx[432].start 11732.513
transcript.whisperx[432].end 11755.41
transcript.whisperx[432].text 這個是最有力標最有力標的評選委員會評選委員會的名單五個人我每一個人的資歷全部看完了以後現在在職的工作都是在北分署要不然在祕書室要不然在訓練科要不然在諮詢服務科如果啊
transcript.whisperx[433].start 11756.684
transcript.whisperx[433].end 11780.049
transcript.whisperx[433].text 我機關首長裝潢自己的辦公室用罪有利標搞來評選委員會全部的評選委員五個都是我自己的屬下那你乾脆不要設評選委員會嘛分署長愛挑誰就挑誰啊但政府採購法有規定啊那政府採購法規定的用武如何可以這樣幹嗎?審計長
transcript.whisperx[434].start 11783.895
transcript.whisperx[434].end 11797.254
transcript.whisperx[434].text 政府採購法有政府採購法的規定我們會了解是不是符合政府採購法好這個一併列入審計的項目當中已經列進去了然後最後一個這個更奇怪
transcript.whisperx[435].start 11798.786
transcript.whisperx[435].end 11813.52
transcript.whisperx[435].text 我今天去跟勞動部調的說明今天才回給我他承認兩件事第一個本來的預算根本沒有編這個項目本來的預算喔沒有編這個項目那本來的預算沒有編這個項目
transcript.whisperx[436].start 11815.322
transcript.whisperx[436].end 11838.681
transcript.whisperx[436].text 那奇怪了許民村是花什麼錢去開演唱會結果找了半天是從就業安定基金來那問題是什麼就業安定基金這裡面的名目是什麼名目是媒體宣導的費用媒體宣導的費用大家都會想說是在宣導什麼是在宣導有關於跟就業安定有關係的宣導片嗎
transcript.whisperx[437].start 11839.778
transcript.whisperx[437].end 11864.863
transcript.whisperx[437].text 不管是對僱主還是對勞工的宣導片結果這宣導片啊可以包裝成拿來辦演唱會啊審計長你會不會覺得很離譜我們查到我們初步了解和委員了解的一樣我們也正在整個在喊醒那個整個勞動部我希望審計部在做審計的時候
transcript.whisperx[438].start 11866.581
transcript.whisperx[438].end 11888.607
transcript.whisperx[438].text 一定要給全體的公務機關一個清楚的訊息預算立法院審議通過以後不准掛羊頭賣狗肉這就是典型的掛羊頭賣狗肉因為我把這個標案最後的驗收報告調來看最後的驗收報告講的是什麼他拍了幾隻騙子
transcript.whisperx[439].start 11890.796
transcript.whisperx[439].end 11910.159
transcript.whisperx[439].text 拍了幾支片子那拍了幾支片子符合什麼?符合這個媒體宣導,名目上是這樣嘛實際上是什麼?實際上是在高雄的衛武營在那邊辦演唱會所以我希望喔,審計長這一次可以說是引發全國人民的怒火
transcript.whisperx[440].start 11910.819
transcript.whisperx[440].end 11932.841
transcript.whisperx[440].text 也引導大家重新的再去思考我們的預算制度我們的決算制度我們的審計到底有沒有辦法杜絕這樣子的狀況如果沒有辦法杜絕這樣子的狀況的話我不知道我們立法委員這個會期在審預算到底在審什麼東西審了半天又怎麼樣
transcript.whisperx[441].start 11934.262
transcript.whisperx[441].end 11955.191
transcript.whisperx[441].text 審了半天你跟我說我這筆錢要去推廣勞工政策結果最後花的時候拿去辦演唱會如果我們國家的制度對於這種胡搞瞎搞最後的結論是一切合法謝謝指教我必須要誠懇的跟審計長報告這件事情人民不會接受
transcript.whisperx[442].start 11957.918
transcript.whisperx[442].end 11985.455
transcript.whisperx[442].text 主要查到沒有依照預算規定或是違反相關法令我們會做檢略的動作會做檢略錢是不是會追回來我們會檢略完以後會依照整個檢調查核的結果來追討希望這次審計部再繳出一張成績單讓臺灣社會看看我們國家公務部門裡面還是有人在負責把關的
transcript.whisperx[443].start 11987.315
transcript.whisperx[443].end 12013.073
transcript.whisperx[443].text 可以嗎?可以好最後一個問題來請教一下主計長是淨法補償的追加預算什麼時候要送來?這個部分因為我們必須要等到那個明年他是在9月要發放那我們會在之前在下一個會期所以這個會期不會處理?是不會到下個會期才會處理就對了是114年度的追加預算OK好謝謝是謝謝好謝謝
transcript.whisperx[444].start 12018.581
transcript.whisperx[444].end 12023.685
transcript.whisperx[444].text 好,我們繼續詢談,已經12點了,繼續詢談完畢接著請楊瓊英、楊委員謝主席,楊瓊發言,我們請行政院主計處審計部一併上來因為時間的關係,謝謝陳主計長、陳審計長
transcript.whisperx[445].start 12048.226
transcript.whisperx[445].end 12055.595
transcript.whisperx[445].text 委員好行政院行政院我們就請一併官方討論李國新常務副秘書長
transcript.whisperx[446].start 12059.892
transcript.whisperx[446].end 12065.394
transcript.whisperx[446].text 審計部114年度的預算當中,中央政府審計的工作項下,國外旅費的這個部分我們來做討論。您所編列的預算是496萬6千元,那113年你是增加了72萬7,它的增幅是17.15%,
transcript.whisperx[447].start 12083.882
transcript.whisperx[447].end 12087.163
transcript.whisperx[447].text 審計部在105年到114年出國所編列預算跟執行的成效105年到109年連續5年大概都維持在308萬4千元110年度稍微減一點點是306萬1千元
transcript.whisperx[448].start 12110.269
transcript.whisperx[448].end 12134.115
transcript.whisperx[448].text 111年跟112年COVID-19的關係所以當然就是你減到執行是134萬跟175萬左右但是在114年當中你是增加將近要到500萬在這樣的情況之下如果比疫情前你拼命的預算是成長六成
transcript.whisperx[449].start 12134.815
transcript.whisperx[449].end 12136.756
transcript.whisperx[449].text 行政院所屬各級機關應供派員出國案件編審要點規範本院各機關及基金
transcript.whisperx[450].start 12150.746
transcript.whisperx[450].end 12164.936
transcript.whisperx[450].text 因公派員出國都必須依照本院所定的年度預算籌編原則以及編制、概算、因行、註意事項有關規定所以在通盤檢討的審慎編制你年度派員出國的計畫跟編列
transcript.whisperx[451].start 12172
transcript.whisperx[451].end 12197.846
transcript.whisperx[451].text 國外旅費請問審計長你比COVID-19之前你的成長預算是六成應該要遵循原則控管整個預算讓我們的預算能夠達到一個有效能所以請教你增加的這個部分是什麼呢?你的基本加入的元素是什麼?關心到這個問題第一個
transcript.whisperx[452].start 12200.809
transcript.whisperx[452].end 12223.283
transcript.whisperx[452].text 現在我們派駐在國外,像經過的問題,我們通通要派人去查。來,慢慢講沒關係。你說你會成長比COVID-19之前達六成,你的新政策是不是?新政策以往都沒有在看?有看,有在看。那為什麼預算差那麼多呢?
transcript.whisperx[453].start 12224.924
transcript.whisperx[453].end 12226.747
transcript.whisperx[453].text 請針對本期的提問剛剛花了兩分鐘跟你講你的背景所以針對問題提問
transcript.whisperx[454].start 12242.407
transcript.whisperx[454].end 12248.872
transcript.whisperx[454].text 你剛剛所說的,派駐在外地的,你們通通都要去看,會增加預算,是不是?是抽查還是通通都要去看?因為這個工作是原本你的每一年例行在做,除了COVID-19的時間之外對不對?
transcript.whisperx[455].start 12260.942
transcript.whisperx[455].end 12267.591
transcript.whisperx[455].text 所以並不是新增的嘛這是本來的預算本來的加強加強第一個加強第二個第二個我們OECD裡面有一個損棄聯盟這個是國安會要我們參加
transcript.whisperx[456].start 12277.021
transcript.whisperx[456].end 12300.83
transcript.whisperx[456].text 新的元素是不是?國安會要叫你們明年去參加是明年要去參加嗎?以往沒有?是新的東西是不是?我們就是要去討論增加六成的原因是什麼?要讓國人知道你們的辛苦嗎?第三個是什麼呢?因為我們審計的工作要入役推展所以我要派人去學習
transcript.whisperx[457].start 12302.759
transcript.whisperx[457].end 12322.83
transcript.whisperx[457].text 日益推展那以往都沒有日益推展以往都沒有派人去學習嗎所以你講的第三點並不是新的嘛是原本就有的啊對但是因為有聯繫上一些國外的專家或者國外的政府單位的人那所以我們還是會派人去講所以我們差不多審計長
transcript.whisperx[458].start 12323.891
transcript.whisperx[458].end 12351.521
transcript.whisperx[458].text 因為我們在這裡回答都有錄音錄影所以我們是在討論在疫情前你的出國預算是增加了六成的原因是什麼我們在這裡來答詢主要的目的是要讓你能夠去說明但是依照你剛剛所說的三項裡頭只有第二項是新的其他都是一樣的這個本分工作那你回答一個說要加強
transcript.whisperx[459].start 12352.821
transcript.whisperx[459].end 12377.075
transcript.whisperx[459].text 現在的機票也貴了現在的機票國外的機票也貴了現在的機票很貴會貴到六成因為多種因素匯總起來的增加你這樣子好了你把你增加在疫情前你增加的六成你們預計要怎麼做你順利資料給本席因為在這裡不能隨便答
transcript.whisperx[460].start 12378.035
transcript.whisperx[460].end 12399.904
transcript.whisperx[460].text 您現在所說的三項裡頭只有一項是新的其他的都是您的本業工作本來就已經有在做所以我們也希望錢要花在刀口上必要的我們全力支持必要的不能胡亂讓我們的納稅錢有所爭議所以我希望您把您增加的內項目給本席多久時間給本席
transcript.whisperx[461].start 12403.045
transcript.whisperx[461].end 12406.066
transcript.whisperx[461].text 多久時間給本席?一個禮拜最後一個議題行政院跟我們的主計長我們每一年超增稅收請問已經幾年都超增?
transcript.whisperx[462].start 12422.913
transcript.whisperx[462].end 12437.326
transcript.whisperx[462].text 因為每一年在立法院在立法院都說你們要去做整體性的一個檢討某一個政府變成預算跟最後實際上差距很大今年大概會超增多少主計長
transcript.whisperx[463].start 12438.61
transcript.whisperx[463].end 12441.771
transcript.whisperx[463].text 三千八百億左右目前我們大概預估是如此但是每一年每一年都會再超增
transcript.whisperx[464].start 12455.596
transcript.whisperx[464].end 12481.724
transcript.whisperx[464].text 連續三年都超增是,從110年到現在都是有超增啦所以我們114年度的時候我們也請稅率有增加這個部分就是說它達到那個我們原來的預定、預估的部分請它再加強這方面你們也發覺到這個問題嘛每一年累計將近10年到超增那這個問題出在哪裡?是你們以後的不準還是你們的超減部署不準
transcript.whisperx[465].start 12482.604
transcript.whisperx[465].end 12508.311
transcript.whisperx[465].text 這個都不是一個政府應當有的每一年都在調整所以您也警惕到了也請他們要再重新去審視所以114年有調整了所以114年調整所以行政院在這邊我非常的支持我們羅敏財委員所說的這一切都來自人民的納稅錢3800億在今年度一個人發一萬是最公平的
transcript.whisperx[466].start 12509.42
transcript.whisperx[466].end 12525.594
transcript.whisperx[466].text 最公平的2300萬人還有剩下很多所以這個是最公平的所以你贊同吧 行政院報告委員你這些支出還是必須要透過預算的一個程序當然啊 原則上是希望優先來還債優先還債你現在終於講了要優先還債可是人民苦
transcript.whisperx[467].start 12532.341
transcript.whisperx[467].end 12542.183
transcript.whisperx[467].text 所以行政院你的看法呢?最不支持將我們超收的一個人發一萬現金促進經濟消費目前我們的方向是優先還債
transcript.whisperx[468].start 12543.593
transcript.whisperx[468].end 12567.39
transcript.whisperx[468].text 優先還債要不要考慮發現金促進經濟消費要不要 要不要 行政院現在的時機點沒有這個考慮沒有這個考慮 拿回這個功課好好去討論好不好我們希望能夠發現金 刺激消費好不好好 贊成 謝謝下一個請代會員賴昭偉
transcript.whisperx[469].start 12573.326
transcript.whisperx[469].end 12574.873
transcript.whisperx[469].text 謝謝主席請那個主計長請陳主計長
transcript.whisperx[470].start 12581.229
transcript.whisperx[470].end 12601.88
transcript.whisperx[470].text 主計長委員好是辛苦今天就是針對那個進入到第一頁針對的就是我們主計總處2025年的施政計畫跟主計長做一些探討因為你們編列的一般補助款還有就是
transcript.whisperx[471].start 12603.401
transcript.whisperx[471].end 12622.59
transcript.whisperx[471].text 第二點的統計調查業務我想主計長在這裡2025年的一般事務性的一個補助款那事實上這些補助款就是說如果我們用那個調整地方的一個財政的營需還有提升地方財政的一個自主
transcript.whisperx[472].start 12623.47
transcript.whisperx[472].end 12647.932
transcript.whisperx[472].text 那現在我們就是編列了一般性的一個補助2501億相較2024年度增加了199億大概增加了8.6%那我想你這一些補助款你大概是會用在哪些就是用在縣市的一個限職人員的待遇調整經費以外你還會用在哪些那個
transcript.whisperx[473].start 12649.193
transcript.whisperx[473].end 12672.62
transcript.whisperx[473].text 方面我要跟委員報告的就是說一般性補助款其實必須要跟統籌分配稅款一起來談統籌分配稅款它是比較著重在直轄市然後一般性的補助款它比較著重在縣市所以它主要的一個項目主要是補助基本財政收支差短如果縣市它基本財政收支有差短我們這個優先補助
transcript.whisperx[474].start 12674.22
transcript.whisperx[474].end 12693.129
transcript.whisperx[474].text 第二、在定額補助的部分我們會針對教育、針對社福、針對基本設施這些去做涉算比如說它有一低收入戶的人口或者這些有一些什麼基本設施或者公共設施的一個面積去做深算那這樣子的部分我們會做一個分配
transcript.whisperx[475].start 12694.049
transcript.whisperx[475].end 12717.277
transcript.whisperx[475].text 我們就納進來統籌分配稅收我們跟補助的稅收我們一起來談那我們從這一張圖表裡頭我們可以去看到了就是說縣市政府的重要的指標的一個查詢那我們看到2023年個直轄市跟縣市的一個補助跟協助的一個收入
transcript.whisperx[476].start 12720.238
transcript.whisperx[476].end 12734.531
transcript.whisperx[476].text 這裏頭顯然很明顯我們看得到了就是說臺北市他其實在統籌分配的稅收裏頭他拿到了很多那相對的在臺南他拿的就是少
transcript.whisperx[477].start 12735.912
transcript.whisperx[477].end 12740.193
transcript.whisperx[477].text 統籌分配稅收款造成長期區域不均,從臺北市650億到台南331億,差距非常大
transcript.whisperx[478].start 12755.658
transcript.whisperx[478].end 12756.318
transcript.whisperx[478].text 委員會委員會委員會委員會委員會委員會委員會
transcript.whisperx[479].start 12785.35
transcript.whisperx[479].end 12785.63
transcript.whisperx[479].text 委員會主席委員會主席
transcript.whisperx[480].start 12801.567
transcript.whisperx[480].end 12819.155
transcript.whisperx[480].text 我們原則上是希望能夠均衡對,當然均衡是非常重要對,那個比較短處的一些縣市我們會給予一些的一個協助和補助那這個部分當然你就是說因為一般統籌分配稅款它主要是著重在稅收的一個分層
transcript.whisperx[481].start 12819.795
transcript.whisperx[481].end 12843.894
transcript.whisperx[481].text 那所以相對的一些直轄市或臺北市這些會分得比較多那所以在一般性補助款的部分我們希望能夠做彌補那所以這個部分我們就會針對其他一些做測算甚至於差短會給予補助那這個部分也是做一個調整那目前其實我們都是有維持一定的成長都比往年每一年都要有一個成長的比率所以都有成長
transcript.whisperx[482].start 12845.054
transcript.whisperx[482].end 12861.242
transcript.whisperx[482].text 主席,來自臺南,你應該非常了解本席的一個選區,如果我的選區的龍水路沒有中央的預註款的話,這個其實就是這個農民的生活落差,還有就是他們
transcript.whisperx[483].start 12862.142
transcript.whisperx[483].end 12884.901
transcript.whisperx[483].text 最主要他們的就是尤其像我那個在白河東山這個山上啊他們有很多就是農產品他們即使收成了一年一收不管是我們的橄欖還是我們的這些橘子柳丁他如果農路是不順的話他甚至就是有都都這個價錢也會變得很差所以我們也希望就是說
transcript.whisperx[484].start 12887.262
transcript.whisperx[484].end 12911.777
transcript.whisperx[484].text 財務支援的一個挹注那對於就是基礎建設的一個幫忙跟公共建設的一個建立這個對我們來講是有一個很大的差別那還有我們偏鄉的小學偏鄉的小學還有醫療設備這個補助所以我今天在這裡跟你探討了就是說好統籌分配的一個稅法它如果就是說我們
transcript.whisperx[485].start 12913.547
transcript.whisperx[485].end 12914.368
transcript.whisperx[485].text 委員會主席
transcript.whisperx[486].start 12925.888
transcript.whisperx[486].end 12926.949
transcript.whisperx[486].text 主席
transcript.whisperx[487].start 12956.789
transcript.whisperx[487].end 12968.105
transcript.whisperx[487].text 這個部分我們也特別注意到剛剛也有委員也有指教這部分那這個部分因為一般地方的預算都是在地方制度法裡面來提那除此之外呢是透過中央預算編列去做補足是這樣
transcript.whisperx[488].start 12971.77
transcript.whisperx[488].end 12993.076
transcript.whisperx[488].text 那現在是不是要再用另外一個預算法地方一個預算法來做一個另外那你又在準備嗎我們會再研究研究那這個重點是說我們因為目前提出來的版本才畫好的修改就是只把財源劃分給地方但是向外的市權沒有跟著去做調整所以這樣呢結果會造成地方會變成負債支出負債
transcript.whisperx[489].start 12994.276
transcript.whisperx[489].end 13012.155
transcript.whisperx[489].text 你當然可以看到很大的一個問題你來自於臺南我就講臺南的高中職到目前為止只因為差別就是十億的這十幾億而已結果我們高中職我們到現在臺南市政府還不敢把他那邊進來
transcript.whisperx[490].start 13013.556
transcript.whisperx[490].end 13030.493
transcript.whisperx[490].text 那怎麼辦呢?因為你臺南的財力事實上沒有辦法再去負擔所以當初這個部我們一直沒有承接國立高中職所以他一直還是留在中央那其他六都的部分都已經退回去了所以你現在當了主計長了應該幫臺南市想想辦法十幾億啊
transcript.whisperx[491].start 13032.995
transcript.whisperx[491].end 13033.476
transcript.whisperx[491].text 委員會主席
transcript.whisperx[492].start 13050.763
transcript.whisperx[492].end 13051.484
transcript.whisperx[492].text 主席主席主席
transcript.whisperx[493].start 13069.935
transcript.whisperx[493].end 13089.268
transcript.whisperx[493].text 不管是出口還是進口的商品都讓我們看到在2025年它的經濟是會下修的顯然我們再從下一頁裡頭我們再來看到主計總處也預測今年的經濟成長率是3.90預測就是說我們的2025年經濟成長率是3.26
transcript.whisperx[494].start 13097.433
transcript.whisperx[494].end 13112.759
transcript.whisperx[494].text 其實我們從這個數字裡頭都知道就是明年會稍微下降一點還有就是說美國總統川普回鍋的這一些嚴肅都會導致於就是說明年經濟到底成長是會上調還是會下調
transcript.whisperx[495].start 13116.192
transcript.whisperx[495].end 13142.154
transcript.whisperx[495].text 這個部分因為如果以113年度來講的話因為前三季的成果是很亮麗所以這個部分我們本來在8月的時候預估是3.9那應該是會往上調那2025年的一個部分我們初估是3.26那這個部分呢因為2025它是不是受到美國川普總統這個一個回鍋的一個影響這個部分我們還是要評估因為我們必須它對於
transcript.whisperx[496].start 13142.734
transcript.whisperx[496].end 13144.956
transcript.whisperx[496].text 關稅相關的一個作證但是目前我們是認為真正影響會在2026不會在2025上會在2026而不是在2025那你認為2026是會下調
transcript.whisperx[497].start 13163.756
transcript.whisperx[497].end 13164.116
transcript.whisperx[497].text 委員會主席
transcript.whisperx[498].start 13179.602
transcript.whisperx[498].end 13205.16
transcript.whisperx[498].text 天氣變冷了所以大家愛吃火鍋那吃了火鍋大家需要有很多的一個蛋用的蛋量增加了那從這個蛋價的一個物價裡頭創了四年最低那最近就是主計總處有沒有關心到這個情形那你知道現在的蛋價就是我們不講說就是那個在末端的就是說
transcript.whisperx[499].start 13206.562
transcript.whisperx[499].end 13232.184
transcript.whisperx[499].text 在這個大賣場裡頭每公斤每台斤應該是每台斤大概是多少錢你知道嗎?因為一般一盒這樣差不多60塊啦那如果60塊又100塊那它有不同的品質、有不同的價錢嘛我就知道因為你都會上那個超市所以這一點要...對,但是我也有在雜貨店買雜貨店一般說一斤才30幾塊
transcript.whisperx[500].start 13233.585
transcript.whisperx[500].end 13247.687
transcript.whisperx[500].text 現在臺北還有雜貨店嗎?有有有,我們市裡那邊就是很多都是雜貨店,然後它一斤才30幾塊一斤才30幾塊,那這一個單價的一個波動,你有沒有什麼比較好的一個因應的方式?
transcript.whisperx[501].start 13248.217
transcript.whisperx[501].end 13264.497
transcript.whisperx[501].text 議員議員議員
transcript.whisperx[502].start 13264.737
transcript.whisperx[502].end 13265.338
transcript.whisperx[502].text 請你密切注意這個問題
transcript.whisperx[503].start 13295.438
transcript.whisperx[503].end 13316.216
transcript.whisperx[503].text 後續的評估會不會再延?這個很重要喔這個部分它是物價小組每一次都有在做評對然後在做決定會不會再延?因為顯然1月20號如果川普那個上台的話我想這個整個那個全世界的經濟會做很大的一個波動那你這一個
transcript.whisperx[504].start 13317.277
transcript.whisperx[504].end 13332.785
transcript.whisperx[504].text 這一個就是這一個會延不會延其實是關係到很大的一個營物料的一個我們市場的一個問題你看我們所有那個我們的畜牧業我們都需要養障就是那個小麥所以你也沒有把握他會不會延還是你可以透露一點
transcript.whisperx[505].start 13340.68
transcript.whisperx[505].end 13340.96
transcript.whisperx[505].text 現在的質詢請陳培瑜陳委員
transcript.whisperx[506].start 13369.236
transcript.whisperx[506].end 13387.064
transcript.whisperx[506].text 有請主計長、審計長陳主計長、陳審計長瑞敏好,我想我們就快速時間有限了我想請問一下主計長你知不知道我們去泰國一張機票多少錢?
transcript.whisperx[507].start 13388.701
transcript.whisperx[507].end 13415.994
transcript.whisperx[507].text 沒關係好啦我跟你說我們要考大家體育署呢今年補助出國儀訓的部分來看學校新南向大概是一萬塊到一萬二這個很合理跟我們去所有網站上看差不多來看下一張那可是呢2024年體育單項協會儀訓參賽部分泰國大概是一萬三到兩萬四比起剛剛那個學校新南向多一點點但可能是因為各個運動項目的不同也還在合理範圍好我們來看下一張可是我們發現喔足球、足協
transcript.whisperx[508].start 13417.494
transcript.whisperx[508].end 13439.405
transcript.whisperx[508].text 他們到泰國一張變3萬塊、日俄島變3萬3,完全不合理甚至在12場棒球賽之前,其實去日本用這樣的價格其實可以買到商務艙那我想要問一下依照政府採購法,如果人政府的補助都是要經過招標可是臺灣足球基層質疑的是為什麼足協買的機票都這麼貴下一張,而且重點是政府都會買單那他們就招標公告就出去了
transcript.whisperx[509].start 13446.408
transcript.whisperx[509].end 13474.035
transcript.whisperx[509].text 那以後我們來看一下這是足協的問題嗎還是我們來看一下別的協會來下一張橄欖球協會呢他們就知道他們的標案當中就知道要訂定每個人上線新台幣一萬八千元整那也就是說同樣都是單項協會同樣都接受體育署的補助那體育署呢就讓足協去跟旅行社直接用市場行情的三倍去採購所以呢我們才會收到這麼這麼多這麼多的陳情齁我看到主計長你一直皺眉頭你一直想說怎麼會這樣
transcript.whisperx[510].start 13476.115
transcript.whisperx[510].end 13504.703
transcript.whisperx[510].text 好這是買機票的部分有問題來下一張足球比賽的轉播到底要花多少錢我也不要考您了來下一張體育組給我們的資料裡面呢在改選前跟108跟12以後2022年以前不管是五人制、十一人制足學的轉播補助申請金額大概都跟市場相符可是2023年以後從一場30萬變成了130萬那我想要問一下這樣的補助到底是怎麼
transcript.whisperx[511].start 13505.203
transcript.whisperx[511].end 13515.733
transcript.whisperx[511].text 通過審查那我們的主計跟審計單位到底對於轉播或是我剛剛講的求那個機票的事情我們到底有沒有審核的能力呢我們來看一下他們就給了我們這邊一張發票轉播費用從30萬變成120萬他們說的理由是我們多了一個電視平台的上架多了4個OTT
transcript.whisperx[512].start 13523.661
transcript.whisperx[512].end 13547.737
transcript.whisperx[512].text 我們來看一下這四個OTT是哪些是Harmony Media、歡樂看、Line TV跟4G線上影視這是多的然後再多了一個有線電視台可是我們有問過業界的行情像這樣子了不起多30萬四個平台加一個電視台就可以搞定為什麼體育署就這樣相信足協的說法我們要怎麼樣讓球迷相信政府真的對於預算的使用有把關的能力我們來看下一張這麼多
transcript.whisperx[513].start 13550.765
transcript.whisperx[513].end 13574.583
transcript.whisperx[513].text 一、二十的賽事轉播三天六個場次一樣給我們看到發票一張就三百萬體育署說有招標沒問題可是我們來看一下招標的委員會我認為有問題其中有四個委員是內部委員是足協內部委員那還有兩個一個是2018年足協的秘書長他也有相關的爭議只剩下一個外部的委員我們認為這樣的審查其實非常的有問題再來
transcript.whisperx[514].start 13577.628
transcript.whisperx[514].end 13593.841
transcript.whisperx[514].text 行政單位的膨脹失控的部分我們來再跟主計長報告一下在4月份跟審計部討論我們有提醒你們111年體育署6年足球計畫它以參賽補助吸引非足球隊伍報名換隊費造成決算超支一億的問題再來
transcript.whisperx[515].start 13596.503
transcript.whisperx[515].end 13620.929
transcript.whisperx[515].text 大型賽事的問題到今年9月底體育署在國際體育交流的部分預算3億9千萬執行已經到了6億4千萬超支了2億5千萬導致今年下半年很多隊伍要出國都被擋住說沒有錢主計審計你們真的可以接受這種說法嗎?到底這個用錢的方法沒有問題嗎?甚至他們還公佈去年喔體育署還公佈國際賽事補助單項協會如果有盈餘不用繳回
transcript.whisperx[516].start 13622.229
transcript.whisperx[516].end 13648.627
transcript.whisperx[516].text 這樣真的可以嗎?最後時間我們要求主計審計要全面查查相關狀況不要讓政府這些資源尤其在各個單項協會跟體育署之間的關係是這麼多錯綜複雜我們看不懂我們怎麼追都追不到資料我們一再一再質詢所以我今天必須要把這個題目送到主計跟審計面前希望你們為國人為臺灣的政府預算把關這邊可以快速回應一下一個月內提供給我們相關調查報告跟改善機制
transcript.whisperx[517].start 13649.287
transcript.whisperx[517].end 13656.514
transcript.whisperx[517].text 是,是,這我們來檢討,我們也來採訪好,那我們相關資料會再跟主計長某大公司這個約,好不好?好,是好,謝謝,謝謝好,謝謝佩儀委員,接著請洪孟凱委員質詢來,主席謝謝,麻煩請審計長好,審計長
transcript.whisperx[518].start 13680.302
transcript.whisperx[518].end 13694.591
transcript.whisperx[518].text 來審計長我快速的來了解一下現在大家有講是說這個前勞動部長他辦所謂的性別平等法20週年的演唱會那是用這個所謂的勞動安定就業安定基金
transcript.whisperx[519].start 13696.013
transcript.whisperx[519].end 13714.615
transcript.whisperx[519].text 確實嘛對不對那你上午有答詢的時候講是說這個就業安定基金裡面有政令宣導的部分是不是來我想請教一下就業安定基金它是有法條喔第5條裡面本基金用途如下12款的用途哪一款裡面寫到政令宣導
transcript.whisperx[520].start 13716.705
transcript.whisperx[520].end 13738.645
transcript.whisperx[520].text 他是放在促進國民就業的計畫那裡邊有拉出來一個促進國民就業也就是第二個嘛加強實施職業訓練或是就業資訊的事項或者是加強實施就業安定跟就業促進的事項你用這樣子的邏輯去幫他講說這是政令宣導
transcript.whisperx[521].start 13742.048
transcript.whisperx[521].end 13767.305
transcript.whisperx[521].text 我想請教一下他的科目他在預算書裡面就列有政令宣導這樣的科目會不會太牽強了一點因為就業基金就業安定基金他是有法條法條第5條裡面本基金用途12款的部分有權益基金的支出有管理跟總務的支出有其他用途的支出但就沒有所謂的政令宣導啊那還有
transcript.whisperx[522].start 13769.517
transcript.whisperx[522].end 13775.16
transcript.whisperx[522].text 審計長我想請教姑女的願望跟性別平等的政令宣導有什麼關係
transcript.whisperx[523].start 13777.781
transcript.whisperx[523].end 13803.543
transcript.whisperx[523].text 我的心裡只有你沒有他委員就這樣齁跟政令宣導有什麼關係這現在我們正在查我只是說你有沒有看過那個演唱會的影片有也有看過那你的感想是什麼中華民國人民的納稅錢我們站在審計單位的立場可以這樣子花嗎我們會整個瞭解以後會提出報告
transcript.whisperx[524].start 13804.464
transcript.whisperx[524].end 13818.619
transcript.whisperx[524].text 會提出報告,你今天上午有講一個月嘛,對不對?那本席有在看到,也有媒體報導講是說這個北分署長他的辦公室裝潢145萬,說也是用就業安定基金來支出,是不是真的?
transcript.whisperx[525].start 13819.352
transcript.whisperx[525].end 13846.451
transcript.whisperx[525].text 目前瞭解是這樣但是我們還是要也是用就業安定基金瞭解的情形是會不會太過腐爛阿所以我們會整個成盤那這樣子過去到現在人家講說就業安定基金變成勞動部的小金庫原來不是傳言是事實阿我要裝潢可以用就業安定基金我要辦演唱會滿足自己的慾望可以用就業安定基金我是要選一個孤女的願望
transcript.whisperx[526].start 13848.032
transcript.whisperx[526].end 13868.941
transcript.whisperx[526].text 大家互相幫助一下、打破壞一下那這跟政令宣...然後我們還要動用到我們的審計長在委員會裡面質詢的時候、答詢的時候還要幫他圓這個是政令宣導他是...我們初步了解是...來,所以一個月一個月會不會太久?其實說實在話
transcript.whisperx[527].start 13870.922
transcript.whisperx[527].end 13893.251
transcript.whisperx[527].text 審計長這都已經核銷了嗎?因為這個整個政績啊我們的審計有審計的一個對那這都已經核銷啦那那核銷你所以是不是可以再加快速度我覺得這個國人真的沒有辦法接受呢而且我們還要審明年的預算如果說這樣的話我就覺得說我們審計部門沒有研究的把關我們盡量來快一點
transcript.whisperx[528].start 13894.131
transcript.whisperx[528].end 13912.75
transcript.whisperx[528].text 可以多快?兩個禮拜是不是?連核銷的部分連那個145萬的裝潢費啊我們都因為這個總是要有一些程序所以一個月內的報告是連他那時候核銷到底用什麼樣的科目什麼樣的名目都會出來
transcript.whisperx[529].start 13916.594
transcript.whisperx[529].end 13945.054
transcript.whisperx[529].text 審計長我再給你看一下你看一下這個是刑事警察局給本席整理的資料打詐國人都很重視詐騙國人都很重視我也看到了你們今天審計的資料裡面有特別講是說打詐專案我們來做一個確認跟審計嘛對不對對就是說過去政府部門要人給人要錢給錢就是要打詐對你看一下以你那麼數字敏感的程度喔你看一下有沒有一個money
transcript.whisperx[530].start 13946.462
transcript.whisperx[530].end 13951.065
transcript.whisperx[530].text 108年到112年發生的件數都是2萬多件到3萬件損失的財損40幾億、50幾億、70幾億、80幾億逐年增加但突然間到113年1月到10月變成7萬多件274億的財損
transcript.whisperx[531].start 13969.437
transcript.whisperx[531].end 13987.058
transcript.whisperx[531].text 有很多人就跟我們講啊就說委員啊基層的公務同仁基層的警務同仁跟我們講啊委員啊你都被人騙了政府很厲害的都會美化數字啊所以之前一年可能台灣被詐騙的數字是百億以上啊
transcript.whisperx[532].start 13987.859
transcript.whisperx[532].end 14005.596
transcript.whisperx[532].text 根本不是我們現在報出來的四五十億啊那結果過去這幾年財損都是四五十億然後發生件數都是兩三萬件今年突然變成是七萬多件我想應該不會是今年的兩種可能嘛一個就是說今年詐騙集團突然變特別厲害
transcript.whisperx[533].start 14007.475
transcript.whisperx[533].end 14019.039
transcript.whisperx[533].text 所以說詐騙特別多一個就是過去的數字都美化了過去的數字都隱匿了過去的數字都沒有如實的登記所以說才會變成是突然間從112年的3萬多件變113年的7萬多件翻了進一整倍委員這詐欺是國民的痛對
transcript.whisperx[534].start 14032
transcript.whisperx[534].end 14048.429
transcript.whisperx[534].text 今年還是會加強專案調查所以我們也會出一個專案調查報告我剛剛也希望這個是慢慢的審計長本席提出來你是要督促這些單位不要美化數字
transcript.whisperx[535].start 14049.409
transcript.whisperx[535].end 14075.567
transcript.whisperx[535].text 我今天為什麼會在這邊特別提出來就是說你要了解的是你今天的年度報告裡面也有講到是說督促我們所有政府部門的打仗但如果說過去這幾次全部都是隱匿的建樹或是隱匿的財損那我們就跟我們的財主單位報換句話以神龍永料我預算都用完了我們就是這樣子結果才發現說過去這幾年根本就是美化數字根本就是美化相關的一個建樹
transcript.whisperx[536].start 14076.428
transcript.whisperx[536].end 14094.882
transcript.whisperx[536].text 那我們財主單位不知道我們國人也被蒙在鼓裡那這樣不是很嚴重嗎?從這個數字看政府已經正式變做出了問題所以代表說過去是沒有面對過去都悶在圖裡面當駝鳥審計長本席要求的是審計單位要多出我們的單位不能有隱匿數字、美化數字、造假數字
transcript.whisperx[537].start 14104.67
transcript.whisperx[537].end 14133.74
transcript.whisperx[537].text 好那接著請葉延芝委員質詢主席好,麻煩請人事行政總局人事行政總處副人事長
transcript.whisperx[538].start 14139.426
transcript.whisperx[538].end 14154.817
transcript.whisperx[538].text 副院長你好剛剛有那個勞動部內部的員工爆料新任的勞動部長在這個11月30號跟12月1號每天早上9點鐘到第一天是到5點然後第二天是到4點
transcript.whisperx[539].start 14156.959
transcript.whisperx[539].end 14174.471
transcript.whisperx[539].text 連續兩天都要求同仁來跟他做業務報告那裡面有的同仁是連續兩天要上班包括陳次長名人還有綜合規劃司的同仁連續兩天都要上班那這個內部員工就很不高興就說勞動
transcript.whisperx[540].start 14176.713
transcript.whisperx[540].end 14196.955
transcript.whisperx[540].text 不一天到晚跟其他企業宣傳說HR不能七天上班可是他們卻必須要犧牲休假的時間然後假日連續兩天來上班這是剛剛勞動部的人講的我想請教一下副理事長在公家機關公務人員是可以這樣子連續上班的嗎
transcript.whisperx[541].start 14199.442
transcript.whisperx[541].end 14222.177
transcript.whisperx[541].text 當然原則上我們是週休二日但是如果有特殊的需要工勤務上的需要、業務上的需要是來加班可以報加班所以在法令上連續上七天班在公務人員這個部分是OK的有特殊的情形、特殊情形那一般的企業可不可以特殊情形連續上七天班可以嗎
transcript.whisperx[542].start 14224.192
transcript.whisperx[542].end 14251.246
transcript.whisperx[542].text 可以嗎一般企業對可以嗎那一般企業他如果說特殊情形就不用一例一休雇主請他特別出來那當然就是按勞基法的規定所以一般企業是可以在特殊情況之下連續上七天班你剛剛的意思我沒有聽錯吧就是說他如果是因為被雇主特別要求出來就可以是不是看有沒有適合就可以我不曉得有沒有適合勞基法婦人是
transcript.whisperx[543].start 14252.107
transcript.whisperx[543].end 14266.769
transcript.whisperx[543].text 委員長居然講了一個跟勞基法完全完全相反的如果符合勞基法規定才可以那我就問你嘛我就問一般企業可不可以勞工連續上企業班可不可以這問題很難回答嗎可不可以可不可以
transcript.whisperx[544].start 14268.123
transcript.whisperx[544].end 14289.154
transcript.whisperx[544].text 一般當然勞工的話他也要有休閒不可以嘛不可以嘛一般勞工勞動部跟一般的企業講說勞工不可以連續上七天班但是勞動部勞動部他叫別人不能這樣做但是他現在在內部要求他們員工可能假日通通都要上班要上七天班人事長說可以
transcript.whisperx[545].start 14289.734
transcript.whisperx[545].end 14318.66
transcript.whisperx[545].text 人事長剛剛講說只要特殊需求就可以所以因為我們服務如果是公務人員他服務的公共事務他有特殊的需要所以OK的嘛OK的嘛所以勞動所以那這樣子因為剛剛勞動部特別啊那個員工還說啊他們被下封口令說他們的勞動部的長官要求他們不能對外宣傳那如果按照副人事長的講法這是OK的啊這個因為是服務公眾嘛所以你們又不是一般的勞工你連續上期天班有什麼好講的
transcript.whisperx[546].start 14319.6
transcript.whisperx[546].end 14338.111
transcript.whisperx[546].text 那幹嘛要下封口令啊我現在不管是不是特別原因嘛反正現在就是說有上班嘛那你的意思是說OK嘛因為特殊原因OK嘛那為什麼要下封口令為什麼要下封口令你覺得你揣測一下
transcript.whisperx[547].start 14339.291
transcript.whisperx[547].end 14356.557
transcript.whisperx[547].text 幹麻怕人家知道就無從去揣測所以我是覺得部長的這個您的宣誓啦感覺上好像公務人員假日上班你也不覺得有怎麼樣你是覺得OK的啦那靜情形才可以啦
transcript.whisperx[548].start 14358.098
transcript.whisperx[548].end 14380.111
transcript.whisperx[548].text 那一般企業可不可以特殊情形然後找勞工連續上企業辦可不可以一般企業可不可以那看他符不符合勞基法的相關規定那符不符合嘛符不符合所以我就你不知道我們那個人事行政總署的官員居然連勞基法的規定不知道雖然不是你主管業務但是你是管公務人員的那你連勞工的相關規定都不曉得我真的是蠻訝異的那接下來請主計長請主計長
transcript.whisperx[549].start 14384.793
transcript.whisperx[549].end 14409.576
transcript.whisperx[549].text 主計長跟審計長一起好了,因為我節省時間委員好主計長,那個,還是勞動部的問題啊那個前勞動部長挪用了就業安定基金然後去辦演唱會,花了365萬那剛剛審計長有說會調查嘛,會調查我就問啦,請問一下一般的機關在使用預算的時候,要不要審計蓋章
transcript.whisperx[550].start 14411.428
transcript.whisperx[550].end 14438.385
transcript.whisperx[550].text 要不要?要不要主計蓋章?對不起,要不要主計蓋章?要不要?呃,他會有請購的一個程序你需不需要蓋章?回答問題就好,需要嘛齁那合宵的時候要不要主計蓋章?要那如果說到時候調查出來,許民春這個東西是不應該的那主計,主計要負什麼責任?這個部分因為我們必須要看第一個他提出來的時候他是寫舉辦性別工作平等相關的一個規範
transcript.whisperx[551].start 14439.816
transcript.whisperx[551].end 14466.55
transcript.whisperx[551].text 他在請購的時候經過那個主計他就認為他要辦這個業務是OK的所以他如果有欺騙主計的行為所以他當事人要對他的事實做負責那主計就是你是隨便蓋章喔不是他是就程序的一個程序蓋章而已嘛但是實際上大家期待主計是要審核嘛不是說只是程序上蓋章而已嘛另外一個我問一下那個謝怡榮前分署長
transcript.whisperx[552].start 14467.369
transcript.whisperx[552].end 14472.212
transcript.whisperx[552].text 他挪用了一百多萬就要你進行去裝潢他的辦公室可以嗎?主計可以嗎?
transcript.whisperx[553].start 14475.11
transcript.whisperx[553].end 14502.877
transcript.whisperx[553].text 這個部分也必須要看因為當初他...不是 這就不可以啊我跟你講今天根據勞發署自己的說法說救安基金可以為了要提供服務必要可以去裝潢辦公室但是要符合比例原則啊所以當時主計在看的時候你就會發現說哇 你拿一百多萬去裝潢辦公室有這個必要嗎就不應該蓋章啊那時候怎麼會就蓋了咧所以這個部分然後勞動部的次長說非常不妥當
transcript.whisperx[554].start 14503.757
transcript.whisperx[554].end 14532.497
transcript.whisperx[554].text 那非常不可放,結果呢?還不是一樣讓他去做。請問一下,假設部長要裝到辦公室,要不要張到次長那邊?不知道,看他們內部的審核的成績嗎?但是主計一定會嘛。我現在問完了,我再一句話就好。第一個就是申請的時候要蓋章,核銷要蓋章。那你都沒有發現說,他這個是非常不符合比例原則嗎?
transcript.whisperx[555].start 14534.574
transcript.whisperx[555].end 14555.78
transcript.whisperx[555].text 因為這個部分我們也是要查一下他實際的狀況是怎麼樣才有辦法跟委員來報告的好那請你查一下好不好稍微那個才試一下好那就是我想在這裡那個主計長盡速盡速那個查核的資料送給那個葉言之委員好謝謝謝謝葉言之那接著請黃珊珊委員諮詢
transcript.whisperx[556].start 14565.223
transcript.whisperx[556].end 14570.087
transcript.whisperx[556].text 現在主席我想請主計長、人事總處還有審計長主計長、審計長還有我們人事總處副人事長委員好委員好
transcript.whisperx[557].start 14581.539
transcript.whisperx[557].end 14605.425
transcript.whisperx[557].text 是,三位好我想剛剛大家都在問喔勞動部的這個勞動發展署前署長他所做的這些所謂的霸凌還有可能不符合預算程序的這些行為我想問一下霸凌的主管機關是人事總處是嗎?歐務委員有關霸凌的處理是應該人事總處來管理嗎?
transcript.whisperx[558].start 14606.603
transcript.whisperx[558].end 14630.409
transcript.whisperx[558].text 我們總是為了希望各機關建立友善的環境所以有定一個指引但是沒有強制力是嗎所以要求各機關能夠按指引來做所以現在你有沒有辦法掌握全臺灣的公務機關霸凌的案件有多少還是要等到這個行政院長他說7天之內要處理你才會知道有人在列管嗎 有人在關心嗎
transcript.whisperx[559].start 14631.671
transcript.whisperx[559].end 14647.491
transcript.whisperx[559].text 我們最近有去調查有去統計所以平常沒有人管理平常人事總處有沒有管理這方面的案件我會在各個我們的市當場有先跟我們的人事機構宣導要去重視這個結論就是沒在管啦你在宣導而已我現在就講因為
transcript.whisperx[560].start 14648.852
transcript.whisperx[560].end 14666.088
transcript.whisperx[560].text 院長說的話所以現在所有的立法委員都接到很多的霸凌的投訴我這邊就有一個警政署所屬單位的投訴他是正式提出申訴而且正式開過調查委員會但是機關裡面很清楚我們有個規定是得請專家學者
transcript.whisperx[561].start 14668.99
transcript.whisperx[561].end 14683.16
transcript.whisperx[561].text 這個機關全部的調查委員都是內部人完全沒有任何的外部人員所以類似的案件人事總處你只能定職營但是你沒有做列管也沒有做改革對嗎你都不知道嘛
transcript.whisperx[562].start 14684.52
transcript.whisperx[562].end 14699.468
transcript.whisperx[562].text 你完全沒有統計資料嗎所以今天我在這邊就是希望人事總處應該扛起這個責任至少要做列管至少要去追蹤至少要去考核而不是等到院長在行政院會講話這樣子很丟臉啊好嗎統計管理考核最重要是追蹤來審計長
transcript.whisperx[563].start 14709.087
transcript.whisperx[563].end 14726.337
transcript.whisperx[563].text 剛剛講的除了勞動部的這個事情之外其實全國的霸凌案件你們雖然是審計單位你認為有沒有必要針對這個部分包括他剛剛講的這些預算的濫刑使用進行專案的審計包括霸凌案件
transcript.whisperx[564].start 14727.297
transcript.whisperx[564].end 14728.198
transcript.whisperx[564].text 主席主席主席
transcript.whisperx[565].start 14753.593
transcript.whisperx[565].end 14756.641
transcript.whisperx[565].text 剛剛說的主計處是政府的
transcript.whisperx[566].start 14757.847
transcript.whisperx[566].end 14783.298
transcript.whisperx[566].text 管家婆、審計部是政府的防腐劑那人事總處其實是公務員的守護神你們這三個單位要確保這個政府他是公平的他的同仁在裡面工作是受到保護的最重要的是不要讓任何人可以上下其手而不經過所有的制度這是三位很重要的責任
transcript.whisperx[567].start 14784.679
transcript.whisperx[567].end 14799.914
transcript.whisperx[567].text 主計長剛剛講的如果審計部是管後面那你前面剛剛很多委員說的前面的主計人員在相關預算的使用上面我們應該付出什麼樣的責任還是就是閉著眼睛蓋章
transcript.whisperx[568].start 14801.007
transcript.whisperx[568].end 14817.132
transcript.whisperx[568].text 其實原則上我們在進行內部審核的時候是要就整個所以主計處的頭人他是主計一條邊其實他就應該扮演在機關裡面說實話的那個人他應該說清楚這個不宜
transcript.whisperx[569].start 14818.152
transcript.whisperx[569].end 14840.504
transcript.whisperx[569].text 不可以我在臺北市的時候我們的主計長常常就是在做剎車皮所以我希望主計處除了剛剛講的審計要去做專案審查你的主計也要通令全國的主計同仁發現類似這樣不合邏輯的預算執行可能都要先舉手甚至要提告甚至要
transcript.whisperx[570].start 14842.433
transcript.whisperx[570].end 14861.512
transcript.whisperx[570].text 報出來。不要等到什麼民眾爆料,我們現在都靠爆料在過日子啊,好嗎?所以人事總處的副人事長,剛剛講的,現在你應該建立一個機制,怎麼樣把霸凌成為人事總處去列管各機關相關執行公務,當公務員的保護神啊?
transcript.whisperx[571].start 14866.981
transcript.whisperx[571].end 14887.893
transcript.whisperx[571].text 不能只是宣導你只有只是宣導然後最後是行政院長出來講我覺得這樣人事總處很失職好嗎好 謝謝接下來我想副人事長可以請回然後我請審計長審計長知道我們之前財政部發生了一件事情就是我們弄了一個雲端電子發票的獎
transcript.whisperx[572].start 14889.505
transcript.whisperx[572].end 14915.552
transcript.whisperx[572].text 抽獎然後有四個人在三波抽獎重大獎然後造成大家認為財政部的公信力受損你有注意到這件事嗎?有這個案子審計部要不要也去做一個專案審計啊?這個我們會瞭解這個我相信啦公務員也不會因為區區的獎品故意拿他的指牙開玩笑但是他的機制的確出了問題現在的問題就在於主計長我這邊也要請教齁
transcript.whisperx[573].start 14917.172
transcript.whisperx[573].end 14933.651
transcript.whisperx[573].text 臺北不要說臺北全臺灣我們都在推所謂的電子發票財政部這麼認真努力用力的推電子發票還鬧出了這個大烏龍電子發票在臺灣所有的國人到113年9月使用載具儲存的已經高達58%將近六成
transcript.whisperx[574].start 14936.594
transcript.whisperx[574].end 14951.369
transcript.whisperx[574].text 臺北市的市民更高達7成也就是使用雲端發票的載具的民眾已經非常多了那推廣電子發票也是重要的國策那現在重點是要結合電子帳務包括商家包括政府
transcript.whisperx[575].start 14952.269
transcript.whisperx[575].end 14967.534
transcript.whisperx[575].text 稅務申報、經費支持而且最重要是它不會被偽造現在的問題就在於你有關政府部門使用電子發票或者是要求電子核銷的比例在我看來還是太慢了主計長你自己認為勒?
transcript.whisperx[576].start 14968.635
transcript.whisperx[576].end 14994.933
transcript.whisperx[576].text 因為我要跟委員報告就是使用電子發票這個部分的業務是財政部是在推動是那我們是負責整個結報系統可是你是負責結算嘛報帳嘛報帳的部分這個在財政中心在105年就已經拜訪過臺北市臺北市在109年電子核銷的比例已經高達99%也就是說由政府來帶頭要求廠商或者是跟有電子發票的廠商做相關的採購這個已經成為政府帶動
transcript.whisperx[577].start 14998.896
transcript.whisperx[577].end 15010.455
transcript.whisperx[577].text 所謂電子發票實用的很重要的里程碑99%你其他的機關現在做到多少?中央政府的機關有沒有在推?有沒有比例?有沒有KPI?
transcript.whisperx[578].start 15011.618
transcript.whisperx[578].end 15029.874
transcript.whisperx[578].text 目前我們是達到26%26%到99%還有很遠很遠的距離所以我們也是在努力一個政府不能夠有三套事情財政部拼命在推可是我們政府部門沒有把這個當成重要的採購的條件你知道我們
transcript.whisperx[579].start 15031.636
transcript.whisperx[579].end 15060.12
transcript.whisperx[579].text 我們的考察主計總處你們在105年考察新加坡的時候人家新加坡不知道民國幾年前就已經是全部電子發票了這個是你們考察自己的報告寫的啊所以主計長您信任主計長這個要不要成為你重要的政策推廣之一啊第二個主計總處在今年5月29號到財委會業務報告說這個是未來數位化政府的趨勢請問你要不要定出一個具體的方向
transcript.whisperx[580].start 15061.519
transcript.whisperx[580].end 15090.074
transcript.whisperx[580].text 因為本身主要是搭配財政部的電子發票主計處要有自己的立場你全部的核銷都要求電子發票的話財政部會輕鬆很多如果我們今天相關的機關出去買東西希望它有電子發票很多的商家會慢慢轉型過來我們要的是以公代私公部門開始引領我相信很多的商家臺北市為什麼能夠推廣
transcript.whisperx[581].start 15090.874
transcript.whisperx[581].end 15110.73
transcript.whisperx[581].text 因為後來很多的商家都主動說我要申請電子發票因為這樣子我可以做到公部門的相關賣個便當也可以有電子發票的話他就比較容易被選到這是以公代私我是今天希望主計長你訂出一個未來的目標多久達到50%多久達到80%多久達到90%
transcript.whisperx[582].start 15116.027
transcript.whisperx[582].end 15141.438
transcript.whisperx[582].text 所以我們這個部分我們進來再研究說看是要怎樣不要再研究了啦這個是政府的政策啦好不好你訂出一個相關的時程表至少要努力達到50%中央政府到現在為止沒有都加入第二個你做了一個平台也很少目前使用狀況也不好第三個就是大家沒有把這個當成一個KPI你如果頒個獎喔就會很多人往上走啦
transcript.whisperx[583].start 15141.998
transcript.whisperx[583].end 15171.028
transcript.whisperx[583].text 主計處最喜歡頒獎嘛對不對頒獎之後地方政府就會跟著跑過來爭取所以其實是你們要不要定出這個方向數位化政府不是說假的數位化政府要自己先做起如果數位化政府是我們賴總統或卓院長的重要政策我希望主計長在這個月底我希望有個初步的未來一年、兩年、三年你的目標值然後給地方政府定出相關的獎勵方案
transcript.whisperx[584].start 15172.969
transcript.whisperx[584].end 15193.718
transcript.whisperx[584].text 一個月之內給我一個答案好嗎不能沒有方向如果臺北市可以做到99%我相信六都一定做得到只是時程我們不要給公務員太大的壓力但是要往這個方向走不要讓財政部一個人在做啦他拼命在做頒獎在做抽獎公部門沒有人理他
transcript.whisperx[585].start 15195.178
transcript.whisperx[585].end 15215.873
transcript.whisperx[585].text 公務門的發票還是一樣用原始的方法每天在那邊貼來貼去那個很容易出錯嘛而且可能做假嘛所以電子發票是一個很好的方法數位國家不要說空話好嗎來審計部我也希望你把電子核銷成為你們在審計上面其實你們會不會比較輕鬆嘛
transcript.whisperx[586].start 15217.952
transcript.whisperx[586].end 15241.264
transcript.whisperx[586].text 如果有電子發票系統的話對會很輕鬆很多吧對 謝謝不用一個一個查核嘛不用看年天每一張單據嘛好不好好我想這個部分就請兩位訂出臺灣數位化政府有關電子核銷使用電子發票的未來的計畫時程表跟你要達到的KPI然後跟地方政府好好的溝通好嗎好 謝謝謝謝
transcript.whisperx[587].start 15245.327
transcript.whisperx[587].end 15263.303
transcript.whisperx[587].text 主計和審計在一個月內提出這樣的計畫給黃森山委員鄭天才、鄭天才、鄭天才委員不在林楚英、林楚英、林楚英委員不在何新淳、何新淳、何新淳委員不在
transcript.whisperx[588].start 15264.183
transcript.whisperx[588].end 15286.573
transcript.whisperx[588].text 蘇清泉、蘇清泉、蘇清泉委員不在鄭振泉、鄭振泉、鄭振泉委員不在那主席在這裡宣告今日登記花園的委員均已詢答完畢現在進行討論事項跟臨時提案的處理那依請醫事人員先讀今日審查預算案的審查項目那預算的提案共84案
transcript.whisperx[589].start 15288.632
transcript.whisperx[589].end 15293.416
transcript.whisperx[589].text 議計宣讀時間是20分鐘宣讀完畢以後議計是13點15分我們要進行協商沒有相關提案的機關列席代表
transcript.whisperx[590].start 15305.427
transcript.whisperx[590].end 15322.773
transcript.whisperx[590].text 都可以先行離開但是行政院、財政部、人事總處人事總處要預留一位同仁在現場可以諮詢協商那其他的同仁可以在現場用餐那我們現在請議事人員先讀
transcript.whisperx[591].start 15330.7
transcript.whisperx[591].end 15349.93
transcript.whisperx[591].text 宣讀審查項目114年度中央政府總預算案行政院主計總處稅務部分第二款罰款及賠償收入第六項主計總處無劣數第一幕罰金、罰還及貸金無劣數第二幕沒錄及沒收財務無劣數第三幕賠償收入無劣數第三款規費收入
transcript.whisperx[592].start 15350.37
transcript.whisperx[592].end 15370.831
transcript.whisperx[592].text 第五項主計總處九萬七千元第一幕使用規約收入九萬七千元第四款財產收入第七項主計總處三十九萬六千元第一幕財產支息二十六萬六千元第二幕廢借物資售價十三萬元第七款其他收入第七項主計總處八十九萬五千元第一幕雜項收入八十九萬五千元
transcript.whisperx[593].start 15371.852
transcript.whisperx[593].end 15384.379
transcript.whisperx[593].text 行政院主計總處說出部分第二款行政院主管第二項主計總處14億6643萬1千元第一幕一般行政914174萬3千元第二幕中央總預算合編及執行531萬4千元第三幕特種基金預算合編及執行266萬1千元第四幕會計及決算業務
transcript.whisperx[594].start 15395.786
transcript.whisperx[594].end 15396.587
transcript.whisperx[594].text 審計部及所屬稅率部分
transcript.whisperx[595].start 15425.462
transcript.whisperx[595].end 15447.827
transcript.whisperx[595].text 第二款﹐罰款及賠償收入第六十三項﹐審計部無劣數第一幕﹐賠償收入無劣數第六十四項﹐審計部臺北市審計處無劣數第一幕﹐賠償收入無劣數第六十五項﹐審計部高雄市審計處無劣數第一幕﹐賠償收入無劣數第四款﹐財產收入第六十九項﹐審計部123萬3千元第一幕﹐財產資期108萬5千元第二幕﹐廢舊物資售價
transcript.whisperx[596].start 15452.668
transcript.whisperx[596].end 15475.98
transcript.whisperx[596].text 14萬8千元。第七十項,審計部臺北市審計處3萬2千元。第一幕財產支息1萬2千元。第二幕廢借物資售價2萬元。第七十一項,審計部新北市審計處1萬2千元。第一幕財產支息1萬1千元。第二幕廢借物資售價1千元。第七十二項,審計部桃園市審計處5千元。第一幕財產支息4千元。
transcript.whisperx[597].start 15476.42
transcript.whisperx[597].end 15493.82
transcript.whisperx[597].text 第二幕、廢借物資售價一千元第七三項、審計部臺中市審計處五千元第一幕、財產支息三千元第二幕、廢借物資售價兩千元第七四項、審計部臺中市審計處十二萬七千元第一幕、財產支息十二萬五千元第二幕、廢借物資售價兩千元
transcript.whisperx[598].start 15494.781
transcript.whisperx[598].end 15510.084
transcript.whisperx[598].text 第75項審計部高雄市審計處4萬元第1目財產支息4萬元第2目廢借物資售價無劣數第7款其他收入第69項審計部103萬5千元第1目雜項收入103萬5千元第70項審計部臺北市審計處1萬6千元第1目雜項收入1萬6千元第71項審計部新北市審計處8千元第1目雜項收入8千元第72項
transcript.whisperx[599].start 15523.707
transcript.whisperx[599].end 15532.194
transcript.whisperx[599].text 審計部臺原市審計處無劣訴、第一目雜項收入無劣訴、第73項審計部臺中市審計處無劣訴、第一目雜項收入無劣訴、第74項審計部臺南市審計處無劣訴、第一目雜項收入無劣訴
transcript.whisperx[600].start 15538.929
transcript.whisperx[600].end 15548.959
transcript.whisperx[600].text 審計部及所屬稅出部分第二款兼查案主管第二項審計部13億6,115萬5千元第一幕一般行政12億4,064萬6千元第二幕中央政府審計7,418萬6千元第三幕縣市地方審計996萬3千元第四幕一般建築及設備3,298萬5千元
transcript.whisperx[601].start 15560.31
transcript.whisperx[601].end 15568.778
transcript.whisperx[601].text 第五目第一預備金337萬5千元第三項審計部臺北市審計處8457萬2千元第一目一般行政8274萬元第二目審計業務175萬2千元第三目第一預備金8萬元第四項審計部新北市審計處7043萬7千元第一目一般行政
transcript.whisperx[602].start 15581.949
transcript.whisperx[602].end 15607.106
transcript.whisperx[602].text 六千八百五十五萬七千元。第二目,審計業務一百八十萬元。第三目,第一預備金八萬元。第五項,審計部臺原市審計處六千六百四十七萬四千元。第一目,一般行政六千五百三十四萬四千元。第二目,審計業務一百零五萬元。第三目,第一預備金八萬元。第二項,審計部臺中市審計處七千三百九十九萬元。第一目,一般行政七千兩百四十五萬八千元。
transcript.whisperx[603].start 15608.007
transcript.whisperx[603].end 15621.071
transcript.whisperx[603].text 第二目、審計業務145萬2千元第三目、一般建築及設備無列處第四目、第一域備金8萬元第七項、審計部臺南市審計處6912萬6千元第一目、一般行政6744萬元第二目、審計業務160萬6千元第三目、第一域備金8萬元第八項、審計部高雄市審計處8335萬元第一目、一般行政8173萬2千元第二目、審計業務153萬8千元
transcript.whisperx[604].start 15636.135
transcript.whisperx[604].end 15651.458
transcript.whisperx[604].text 第三目第一預備金8萬元直轄市及縣市政府調整軍公教人員待遇準備、災厄準備金及第二預備金稅出部分第二十六款直轄市及縣市政府2501億1279萬元第一項直轄市及縣市一般性補助款2501億1279萬元第一目
transcript.whisperx[605].start 15658.18
transcript.whisperx[605].end 15669.808
transcript.whisperx[605].text 直轄市及縣市交易補助659億412萬1千元第二幕直轄市及縣市交通補助110億元第三幕直轄市及縣市其他經濟服務補助373億1104萬元第四幕直轄市及縣市社會保險補助10億1811萬8千元第五幕直轄市及縣市社會救助補助79億1843萬4千元第二幕直轄市及縣市福利服務
transcript.whisperx[606].start 15686.418
transcript.whisperx[606].end 15696.989
transcript.whisperx[606].text 補助527億6,096萬8千元第7目直轄日期縣市其他基本財政支出補助222億10萬9千元第8目直轄日期縣市平衡預算補助520億元第27款調整軍工價能源待遇補助99億3107萬9千元第28款災害準備金50億元第29款第二預備金80億元
transcript.whisperx[607].start 15711.274
transcript.whisperx[607].end 15739.917
transcript.whisperx[607].text 委員提案部分行政院主計總處提案共60案第一案一般行政檢列500萬元委員體驗秀等3人提案第二案一般行政檢列200萬元委員陳玉珍等4人提案第三案一般行政凍結20%委員黃湘湘等3人提案第四案一般行政凍結400萬元委員黃湘湘等4人提案第五案基本行政工作流行向下通訊類檢列200萬元委員郭國文等3人提案第六案
transcript.whisperx[608].start 15740.638
transcript.whisperx[608].end 15755.73
transcript.whisperx[608].text 通訊類檢列60萬元為耐事保等三明題案。第七案政府內部控制監督機制規劃及監督向下業務費檢列22萬元為王世堅等三明題案。第八案政府內部控制監督規劃
transcript.whisperx[609].start 15757.271
transcript.whisperx[609].end 15774.927
transcript.whisperx[609].text 機制規劃及督導、凍結5%、委員黃珊珊等3人提案。第九案中央總預算合編及執行減淚100萬元、委員陳玉珍等4人提案。第十案中央總預算合編及執行凍結1%、委員李燕秀等3人提案。第十案
transcript.whisperx[610].start 15775.347
transcript.whisperx[610].end 15787.594
transcript.whisperx[610].text 中央總預算合編及執行、凍結10%、委員陳玉珍等4人提案第12案中央總預算合編及執行、凍結5%、委員黃雙雙等3人提案第13案中央總預算合編及執行、凍結5%、委員黃雙雙等3人提案第14案中央總預算之合編與執行、凍結20%、委員吳立華等3人提案第15案
transcript.whisperx[611].start 15797.259
transcript.whisperx[611].end 15817.124
transcript.whisperx[611].text 中央總預算之合併與執行向下一般事務費-50萬元為耐事保等商用提案第16案中央總預算之合併與執行向下一般事務費-5萬元為離昆城等商用提案第16案地方政府主計業務之督導與查核向下業務費-15萬元為耐事保等商用提案第17案
transcript.whisperx[612].start 15818.844
transcript.whisperx[612].end 15847.083
transcript.whisperx[612].text 將這五主計業務之督導與查核凍結20萬元委員嚴寬衡等三人提案。第十九案特種基金預算合編及執行向下業務費減略20萬元委員賴世寶等三人提案。第二十二案特種基金預算合備及執行凍結100萬元委員李燕縣等三人提案。第二十一案特種基金預算合編及執行凍結20%委員黃雙雙等三人提案。第二十二案特種基金預算合編及執行凍結20%委員黃雙雙等三人提案。第二十三案
transcript.whisperx[613].start 15847.443
transcript.whisperx[613].end 15875.953
transcript.whisperx[613].text 特種基金預算核編輯執行凍結20%委員黃雙雙等三人提案第14案特種基金預算核編輯執行凍結20%委員黃雙雙等三人提案第25案特種基金預算核編輯執行凍結20%委員顏寬恒等三人提案第26案特種基金預算核編輯執行凍結20%委員吳立華等三人提案第27案特種基金預算核編輯執行凍結10%委員陳玉珍等四人提案第28案特種基金預算核編輯執行
transcript.whisperx[614].start 15878.053
transcript.whisperx[614].end 15906.123
transcript.whisperx[614].text 凍結20萬元委員郭國文等三人提案。第29案會計事務處理及決算合編凍結100萬元委員郭國文等三人提案。第30案會計及決算業務向下違範費檢列100萬元委員李燕秀等三人提案。第31案綜合統計業務凍結300萬元委員郭國文等三人提案。第32案辦理統計行政與統計標準向下業務費凍結30%委員王世堅等三人提案。第33案辦理綜合統計
transcript.whisperx[615].start 15910.671
transcript.whisperx[615].end 15926.984
transcript.whisperx[615].text 凍結10%委員賴慧穎等三人提案第三次案,辦理綜合統計向下業務費資、贈送物價調查、金融業概況調查、民營電廠營運及投資概況調查、傳播業營收及固定投資概況調查與服業營運及投資概況調查、廠商紀念品
transcript.whisperx[616].start 15928.945
transcript.whisperx[616].end 15953.595
transcript.whisperx[616].text 凍結20%委員黃珊珊等3人提案。第三十五案國際普查業務檢列500萬元委員陳玉珍等4人提案。第三十六案國際普查業務向下辦理農林營運業普查檢列1000萬元委員體育秀等3人提案。第三十七案辦理農林營運業普查向下一般事務費檢列80萬元委員賴世保等3人提案。第三十八案普查資訊供應管理及發展向下資訊服務費
transcript.whisperx[617].start 15955.135
transcript.whisperx[617].end 15979.972
transcript.whisperx[617].text 檢列50萬元委員賴思寶等三人提案。第三十九案國務統計凍結二分之一委員李恩秀等三人提案。第四十案各機關統計調查局、調查網管理凍結10%委員吳立華等三人提案。第四十一案主計資訊業務檢列500萬元委員陳玉珍等四人提案。第四十二案主計資訊業務凍結5%委員黃雙雙等三人提案。第四十三案主計資訊業務凍結200萬元委員郭國文等三人提案。第四十四案
transcript.whisperx[618].start 15985.135
transcript.whisperx[618].end 15988.778
transcript.whisperx[618].text 稅計資、會計資訊管理向下資訊服務費減略100萬元委員賴思寶等3MT案第45案統計及行政資訊管理向下資訊服務費減略100萬元委員賴思寶等3MT案第46案
transcript.whisperx[619].start 15999.265
transcript.whisperx[619].end 16019.5
transcript.whisperx[619].text 資訊系統維域管理向下資訊服務費減略200萬元委員大司保等三名提案第47案經費結報及薪資資訊管理向下資訊服務費減略120萬元委員大司保等三名提案第48案其他設備向下設備及投資減略4000萬元委員王世堅等三名提案第49案其他設備
transcript.whisperx[620].start 16021.406
transcript.whisperx[620].end 16029.537
transcript.whisperx[620].text 簡略500萬元為陳玉珍等4人提案。第50案其他設備向下資訊軟硬體設備費簡略600萬元為賴思寶等3人提案。主決議第51案要求主計總處將經費流用上限從20%調降到5%
transcript.whisperx[621].start 16040.41
transcript.whisperx[621].end 16068.668
transcript.whisperx[621].text 可行性研究及對近5年流用大數據進行研習並分類檢討衍生因素並提出具體做法委員大事保等三領提案第51案要求主計總處按單位預算書內各項費用科技表內資格式區分工作計畫第1、2級用途別科目原預算數、流入數、流出數、流用後預算數、決算數、流用比例及預期效益說明並列前1年度預算數、決算數之各項費用流用
transcript.whisperx[622].start 16069.788
transcript.whisperx[622].end 16086.577
transcript.whisperx[622].text 統計分析表如有這樣同時公布統計分析表並提出具體作法委員賴思寶等三項提案。第五三案請主計總處針對督導查核地方預算執行缺失情形研議有效補救辦法並提出書面報告委員林德福等三項提案。第五四案
transcript.whisperx[623].start 16087.037
transcript.whisperx[623].end 16110.125
transcript.whisperx[623].text 要求主計總處針對114年度特別收入基金預計短促者提出檢討改編列單位預算會予以裁測之可能性並提出具體做法委員長施保等三領提案第五十五案要求主計總處妥善檢討非營業特種基金的程序辦理加強輔導或辦理退場疑慮政府財政健全並提出疏分報告委員羅兵才等三領提案第五十六案
transcript.whisperx[624].start 16111.565
transcript.whisperx[624].end 16127.516
transcript.whisperx[624].text 請主計總處針對相關非營業特種基金預算執行情況概況提出書面報告為林鄭月娥等三案提案。第五期案基金於111至114年度受撥補收入多層增長趨勢,恐影響排擠政府其他重要施政計畫
transcript.whisperx[625].start 16128.997
transcript.whisperx[625].end 16152.732
transcript.whisperx[625].text 請主計總處說明理由及因應政策並提出書面報告委員林德甫等三人提案。第五十八案請行政院主計總處針對我國中等薪資者薪資成長率過低之原因分析及相比鄰國我國員工薪資報酬佔國內生產毛額之比率為何較低提出書面報告委員王思堅等三人提案。第五十九案中央政府總預算案與附屬單位預算及其中計表至115年度
transcript.whisperx[626].start 16155.093
transcript.whisperx[626].end 16172.331
transcript.whisperx[626].text 總預算期:主計總處應以提供電子檔為原則:並上傳立法院預決算知識庫網頁、委員李昆城等三案提案。第六十案:要求主計總處提出節能用電計劃:並提出出面報告:委員李昆城等三案提案。審計部預算提案、公關事事案。
transcript.whisperx[627].start 16173.581
transcript.whisperx[627].end 16201.492
transcript.whisperx[627].text 第一案一般行政凍結10%委員陳玉珍等三人提案第二案基本行政工作維持減略300萬元委員郭國文等三人提案第三案基本行政工作維持向下物品凍結1%委員大會員等三人提案第四案基本行政工作維持向下一般事務費減略90萬元委員大事保等三人提案第五案辦公事務設備汰亂及辦公廳設整修減略500萬元委員郭國文等三人提案第十六案
transcript.whisperx[628].start 16202.652
transcript.whisperx[628].end 16220.261
transcript.whisperx[628].text 辦公室設備開放及辦公廳設整修向下防護建築及設備費減列100萬元委員賴世保等三案提案。第七案中央政府審計減列50萬元委員陳玉珍等三案提案。第八案中央政府審計工作向下資訊服務費減列90萬元委員賴世保等三案提案。第九案
transcript.whisperx[629].start 16221.181
transcript.whisperx[629].end 16240.974
transcript.whisperx[629].text 中央政府審計工作向下資訊服務費凍結10%委員吳立華等3人提案第10案中央政府審計工作向下委辦費減約75萬元委員郭國文等3人提案第11案中央政府審計工作向下國內組織會費凍結2萬元委員黃珊珊等3人提案第12案中央政府審計工作向下國內
transcript.whisperx[630].start 16242.574
transcript.whisperx[630].end 16263.972
transcript.whisperx[630].text 旅費凍結15%、委員延寬等三案提案。第十三案,中央政府審計工作向下國外旅費減略50萬元、委員郭國榮等三案提案。第十四案,縣市地方審計工作凍結10%、委員吳立華等三案提案。第十五案,縣市地方審計工作向下國內旅費凍結15%、委員袁寬恆等三案提案。
transcript.whisperx[631].start 16264.973
transcript.whisperx[631].end 16290.055
transcript.whisperx[631].text 主決議第16案請審計部針對運用電腦軟體輔助查核系統精進作為提出書面報告委員袁匡衡等三人提案第17案請審計部針對智能審計發展方案精進作為提出書面報告委員袁匡衡等三人提案第18案請審計部就審計決算報告之內容數位化與便利大眾檢索之UI、UX改善檢討提出書面報告委員黃雙雙等三人提案第19案請審計部
transcript.whisperx[632].start 16291.957
transcript.whisperx[632].end 16308.952
transcript.whisperx[632].text 就檢討審計部所屬需辦理特殊材料之職務提出疏問報告,為黃昌昌等三人提案第二十案,請審計部將最新一期政府審計計竿及即時以電子化方式出刊公
transcript.whisperx[633].start 16310.974
transcript.whisperx[633].end 16335.739
transcript.whisperx[633].text 公務機關及公眾免費月欄之可行性提出書面報告委員黃珊珊等三項提案第二十一案請審計部就全國公務機關霸凌處置缺失及法規疏漏進行專案審計並提出書面報告委員黃珊珊等三項提案第二十二案要求審計部於每年提出決算報告後一個月內提出縣市政府非法定福利預算之書面報告委員呂坑成等三項提案第二十三案審計部落實政府推動數位轉型
transcript.whisperx[634].start 16337.119
transcript.whisperx[634].end 16349.55
transcript.whisperx[634].text 但相關實施成果應由全民監督,要求審計部提出書面報告委員李坤澄等三項提案第二四案,要求審計部提出節能用電計畫書面報告委員李坤澄等三項提案宣讀完畢好,謝謝謝謝,那宣讀完畢後,預計我們是在13點15分進行協商
transcript.whisperx[635].start 17188.803
transcript.whisperx[635].end 17189.043
transcript.whisperx[635].text 主計人員請移動
transcript.whisperx[636].start 17218.476
transcript.whisperx[636].end 17241.102
transcript.whisperx[636].text 好,我們針對114年度中央政府總預算案那個委員提案的一個目柱我們先從這個行政院主計總處60案那60案這個提案60案我們從第一案開始第一案是李燕秀委員是減略500萬那請主計處說明
transcript.whisperx[637].start 17248.231
transcript.whisperx[637].end 17248.892
transcript.whisperx[637].text 有簽字嗎?有簽字嗎?
transcript.whisperx[638].start 17262.985
transcript.whisperx[638].end 17288.299
transcript.whisperx[638].text 來拿著麥克風講好不好李燕秀委員的辦公室有口頭同意我們改成10%凍結然後加書面報告解凍因為你沒有簽字然後李燕秀委員本人也不在10%凍結是500萬的10%還是總數的10%一般行政的10%那這樣他變成要給你凍結九千多萬欸你們要這樣嗎是啊變九千多萬欸
transcript.whisperx[639].start 17292.802
transcript.whisperx[639].end 17314.189
transcript.whisperx[639].text 各處人事會之外的洞穴石盤我不知道你們溝通的內容是什麼,可不可以講清楚一點好,來,這個第一案我們好,這個這個是一般行政喔
transcript.whisperx[640].start 17317.056
transcript.whisperx[640].end 17332.424
transcript.whisperx[640].text 要不要一、二、三、四一起談?因為我們三、三、五、五、四、五、六、七、八、九、十、九、十、九、十、九、十、九、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、十、
transcript.whisperx[641].start 17337.841
transcript.whisperx[641].end 17351.698
transcript.whisperx[641].text 第一案、第二案都在一般行政之下,那我們是不是併33委員的第三案,那我們一併討論好不好?
transcript.whisperx[642].start 17354.761
transcript.whisperx[642].end 17373.576
transcript.whisperx[642].text 那那個第三案我們已經那個深山委員的提案齁已經改凍結10%啦齁那就是第一案、第二案、第三案我們都凍結10%好不好併案喔併案處理喔第一案第一案、第二案、第三案齁那我們就是
transcript.whisperx[643].start 17376.482
transcript.whisperx[643].end 17404.431
transcript.whisperx[643].text 一般行政扣除人事會改動10%好那還要再加速唸好不好那以第三案為主喔第三案文字有修正有有有以第三案為主來修正成我報告一下委員他不知道我唸一下好了來拿麥克風要唸的話拿麥克風
transcript.whisperx[644].start 17407.588
transcript.whisperx[644].end 17435.407
transcript.whisperx[644].text 好 那就是我們進入到第4案那個黃珊珊委員提案凍結400萬好 來那個秉瑞委員剛剛黃委員同意的這個裡面他是指一般行政向下的10%捏他沒有講扣除人事費捏你那個文字上面是不是要加進去這個好
transcript.whisperx[645].start 17439.081
transcript.whisperx[645].end 17446.932
transcript.whisperx[645].text 對有我是說他現在的書面上面沒有寫要扣除人事費啊好那你們是不是要加進去要加在哪裡來那個主計主計總處說明一下
transcript.whisperx[646].start 17457.779
transcript.whisperx[646].end 17478.973
transcript.whisperx[646].text 就是用一般行政扣除人事費以外凍結百分之十原凍結該項預算除人事金費外之百分之十除人事外百分之十最後面凍結該項預算扣除人事費的預算後10%
transcript.whisperx[647].start 17489.341
transcript.whisperx[647].end 17504.882
transcript.whisperx[647].text 原凍結該項預算,人事經費外資10%,家人事經費外5%來,我再唸一次,就是嚴扣除
transcript.whisperx[648].start 17506.636
transcript.whisperx[648].end 17516.438
transcript.whisperx[648].text 原扣除人事經費外預算10%原凍結該項預算人事經費外資10%人事經費外預算後面在座委員有沒有其他的意見第二個提案
transcript.whisperx[649].start 17534.236
transcript.whisperx[649].end 17545.261
transcript.whisperx[649].text 因為李燕秀的提案第一、第二跟第三個黃珊珊的提案是都是人事經費都是這個一般行政向下所以三個案把它併在一起了OK啦
transcript.whisperx[650].start 17548.717
transcript.whisperx[650].end 17571.037
transcript.whisperx[650].text 好那這樣子的話我們進入到第4案黃珊珊委員那個提案的那就是凍結400萬請問珊珊委員有沒有意見我們還是希望能夠凍結因為這個是人事總處要求主計總處要改善的所以凍結400萬其他提報告
transcript.whisperx[651].start 17572.332
transcript.whisperx[651].end 17580.554
transcript.whisperx[651].text 審計部臺北市審計處、審計部新北市審計處、審計部新北市審計處、審計部新北市審計處、審計部新北市
transcript.whisperx[652].start 17598.317
transcript.whisperx[652].end 17618.364
transcript.whisperx[652].text 委員有沒有意見?來,司法委員,併案併案了,他們已經同意進50萬了齁對,但是那個修正文字就是不解那個通訊會就是在一般行政象下修50萬,然後那個科目自行調整好,那你就是科目自行調整第5案、第6案科目自行調整好不好?
transcript.whisperx[653].start 17624.775
transcript.whisperx[653].end 17650.089
transcript.whisperx[653].text 本席在這裡宣告第5、第6案基本行政工作維持減劣50萬客戶自行調整進入到第7案第7案是王世堅委員提案那是不是王世堅委員要不要說明一下
transcript.whisperx[654].start 17652.727
transcript.whisperx[654].end 17665.787
transcript.whisperx[654].text 好,來,請說啊NRA主計處有商量以後我講說是不是改凍結那等待他們提出參加OECD的成效之後來解凍是,來,那個
transcript.whisperx[655].start 17667.062
transcript.whisperx[655].end 17681.549
transcript.whisperx[655].text 就是全組進出說明他說他們要去參加OECD這是我們明年要去OECD參加會議的一個報告那是不是可以就是像委員講的我們回國之後趕快盡快把報告送到委員會這邊來
transcript.whisperx[656].start 17684.011
transcript.whisperx[656].end 17684.711
transcript.whisperx[656].text 改動22萬加速面報告第8案
transcript.whisperx[657].start 17702.714
transcript.whisperx[657].end 17731.078
transcript.whisperx[657].text 第8案就是我們那個黃珊珊委員提案已經從1個月改3個月改成3個月珊珊委員有沒有要說明好沒有3個月可以他就是還是病棟好那修正通過那第9案第9案就是檢閱那是中央總預算案那個合編跟執行那這個是陳一貞委員提案那我們就
transcript.whisperx[658].start 17734.041
transcript.whisperx[658].end 17752.076
transcript.whisperx[658].text 這個陳玉珍委員他是要求我們給他書面說明是這樣子而已改組決議我們是建議就是動10%然後提書面報告動10%加書面報告好修正通過第9案修正通過
transcript.whisperx[659].start 17754.255
transcript.whisperx[659].end 17760.797
transcript.whisperx[659].text 進入第10案李燕秀委員第10案動節三分之一主計處請說明
transcript.whisperx[660].start 17769.26
transcript.whisperx[660].end 17773.384
transcript.whisperx[660].text 第10案凍結10%加書面修正通過第11案凍結10%加書面修正通過
transcript.whisperx[661].start 17796.604
transcript.whisperx[661].end 17805.053
transcript.whisperx[661].text 10%加書面請說明一下同一個中央預算編列與執行是不是合併動10%我們提書面報告
transcript.whisperx[662].start 17814.746
transcript.whisperx[662].end 17832.947
transcript.whisperx[662].text 好,來,我在這裡跟各位委員報告一下第9案、10案、11、12到13,這個都是凍結,那個都是凍結第二幕那都,可是這個數字不一樣,凍結的數字不一樣
transcript.whisperx[663].start 17837.542
transcript.whisperx[663].end 17843.895
transcript.whisperx[663].text 那個12案、13案黃珊珊原來她都只有動5%嘛所以你動10%就已經超過她這個提案了
transcript.whisperx[664].start 17848.297
transcript.whisperx[664].end 17875.911
transcript.whisperx[664].text 來那個請問在現場的委員就是我們的那個10、11、12、13凍結第二幕那就是我們凍五趴幾趴是無所謂的啦因為你才報告寫的就我們過去慣例凍結就是十趴啦這樣啦不是差啦報告寫的就好了好加好來然後第12案那個委員有同意我們改三個月第12案的部分
transcript.whisperx[665].start 17879.569
transcript.whisperx[665].end 17890.661
transcript.whisperx[665].text 最後一段的那個3個月內提順便報告就對了好那第12案第12案就是我們改成3個月那就是修正通過然後第13案
transcript.whisperx[666].start 17900.273
transcript.whisperx[666].end 17913.342
transcript.whisperx[666].text 第13案是黃珊珊委員凍結5%加書面有沒有問題凍結是併前面的這幾個案子一氣併凍10%然後都有不同的條件經過書面報告之後凍之啊你如果一案一案談的話就變成一直累加上去來你宣布第11案導致的13案凍結5%
transcript.whisperx[667].start 17930.026
transcript.whisperx[667].end 17956.543
transcript.whisperx[667].text 1個月改3個月以第12案為主好來本席在這裡宣布第9、第10、11、12、13那個凍結5%那1個月改3個月以第12案為主平水師傅講不是啦前面你就已經同意第10%凍10%了嘛前面第9案是沒有我們現在不是這5個案要併案
transcript.whisperx[668].start 17958.104
transcript.whisperx[668].end 17968.096
transcript.whisperx[668].text 對不對五個案併案在這一個項下全部總共只有凍結10%然後都提書面報告之後那你第9話你原來講的10%要改成5%嗎
transcript.whisperx[669].start 17974.455
transcript.whisperx[669].end 17988.646
transcript.whisperx[669].text 參委應該都是動10%然後都要交書面報告然後我的那個12案是要改3個月那其他都是照案的就是供照辦理11、12、13就是併案處理凍結10%一個月改3個月那就是以12案為主這樣有沒有問題各位委員對啦這樣才對
transcript.whisperx[670].start 17998.837
transcript.whisperx[670].end 18017.033
transcript.whisperx[670].text 好 那我們再來進入第14案吳立法委員這個是改動10%吳立法委員已經同意了好 那就修正通過進入到第1515是
transcript.whisperx[671].start 18021.457
transcript.whisperx[671].end 18044.943
transcript.whisperx[671].text 另外另外一位這個是前面那一個那個計畫向下的是不是一樣你現在在講哪一題剛剛第14案的部分因為它是14案就過了啊它是底下的分支一樣是動10%啦好好那第14案有沒有問題
transcript.whisperx[672].start 18046.892
transcript.whisperx[672].end 18074.739
transcript.whisperx[672].text 沒有問題,修正通過來,15、16那個我們併案就是減劣減劣一般事務會然後有50萬那16案減劣5萬這個是大使館委員的提案那第15
transcript.whisperx[673].start 18077.779
transcript.whisperx[673].end 18090.525
transcript.whisperx[673].text 第15跟16併案第15跟16併案提書面報告好嗎?書面報告來提書面報告好,來,這個改組決議可以啦,我沒有去那你規則那個結合文案也不要了就兩個併案就書面報告
transcript.whisperx[674].start 18103.051
transcript.whisperx[674].end 18129.141
transcript.whisperx[674].text 第15跟第16案並案改組決議好不好那就是修正通過然後要提書面以15案為主來進入到第17案17案就是這個是賴思寶委員思寶那個你是不是要表達一下意見因為我就是
transcript.whisperx[675].start 18132.576
transcript.whisperx[675].end 18145.067
transcript.whisperx[675].text 動10%加書面報告好,那就是動10%加書面報告修正通過第17案來進入到第18案那個
transcript.whisperx[676].start 18148.407
transcript.whisperx[676].end 18163.718
transcript.whisperx[676].text 嚴寬衡委員同意動10%加書面修正通過第19案賴思寶委員簡略20萬這個就是委員有同意不簡略用凍結的第19案賴思寶委員同意凍結
transcript.whisperx[677].start 18174.451
transcript.whisperx[677].end 18187.756
transcript.whisperx[677].text 二十萬 欸沒有他凍結凍結多少金額啊凍結二十萬加書面來修正通過凍結二十萬太少了啦凍結五十萬不要啦不要啦對啦對啦二十萬就好我們就三二十萬就好啦
transcript.whisperx[678].start 18197.18
transcript.whisperx[678].end 18206.81
transcript.whisperx[678].text 不要凍結了,剩10萬啦,剩10萬不要凍結我們的預算書啊,我們特種基金才216萬阿妹阿娜,阿妹阿娜凍結,阿妹阿娜凍結凍結20萬是吧,凍結20萬加書面,這樣齁,好,修正通過齁
transcript.whisperx[679].start 18219.161
transcript.whisperx[679].end 18232.195
transcript.whisperx[679].text 第二十案二十跟二十八還有五十七這幾個都是在講特收的公款撥補的問題那我們是不是這三案可以定案就是動5%然後加書面報告
transcript.whisperx[680].start 18233.592
transcript.whisperx[680].end 18236.214
transcript.whisperx[680].text 主決議不要動抄20跟28因為同樣都在講特收的凍結凍結5%
transcript.whisperx[681].start 18256.351
transcript.whisperx[681].end 18259.815
transcript.whisperx[681].text 凍結5%加書面書面報告說得同意的就刪掉了第20案、28案凍結5%加書面以第28案為主
transcript.whisperx[682].start 18279.459
transcript.whisperx[682].end 18299.427
transcript.whisperx[682].text 來進入到第21案21一直到24都是黃珊珊委員的都針對那個國營事業的待遇對對對對那這個部分黃委員有同意就是改成凍結10%加3個月是3個月然後我們是配合財政部好那個珊珊委員齁
transcript.whisperx[683].start 18304.11
transcript.whisperx[683].end 18314.763
transcript.whisperx[683].text 第二十一、二十二、二十三、二十四修正通過進入到第25案
transcript.whisperx[684].start 18316.445
transcript.whisperx[684].end 18331.27
transcript.whisperx[684].text 那個顏寬恆委員25的部分就是動5%然後也是書面然後改成三個月好,第25案動5%然後同樣的向下你這樣子這裡動10%、10%、10%、5%加在一起會超過你可以用的喔
transcript.whisperx[685].start 18337.072
transcript.whisperx[685].end 18347.855
transcript.whisperx[685].text 因為一個不同的體驗是哪一家的啊?沒有哪一家的啊?來,第25案,就是凍結那個5%那加書面,然後兩個月改成三個月內,好不好?提書面
transcript.whisperx[686].start 18361.57
transcript.whisperx[686].end 18372.795
transcript.whisperx[686].text 二、審查中華民國11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2會期財政委員會第11屆第2
transcript.whisperx[687].start 18382.233
transcript.whisperx[687].end 18397.845
transcript.whisperx[687].text 二十六案二十六併入二十五因為是同樣在講裁測從二十一案到二十六案其實都在同一個象徵總共的預算也才兩百六十六萬阿有這麼多的提案阿就取最大的而已阿
transcript.whisperx[688].start 18406.057
transcript.whisperx[688].end 18423.269
transcript.whisperx[688].text 我建議啦19到26這麼多全部變成離案啦,都10%啦,這樣啦書面報告就激動了好不好感謝委員你們主計審預算不能這樣子,你們同樣向下的你們要併案啊,你們不要求併案,一案一案這樣處理怎麼弄來主計,主計說明
transcript.whisperx[689].start 18431.274
transcript.whisperx[689].end 18432.215
transcript.whisperx[689].text 法定人數不足
transcript.whisperx[690].start 18445.827
transcript.whisperx[690].end 18452.414
transcript.whisperx[690].text 主席宣告第19、20、21、22、23、24、25、26、27、28動10%改書面3個月以21案為主請問在現場的委員有沒有意見?沒有意見就通過
transcript.whisperx[691].start 18473.747
transcript.whisperx[691].end 18480.471
transcript.whisperx[691].text 第29國共委員改動50萬加一個月書面第30案李燕秀委員提案簡略
transcript.whisperx[692].start 18497.621
transcript.whisperx[692].end 18520.248
transcript.whisperx[692].text 檢列就是一百萬是委辦會有跟委員口頭同意就是改檢列五趴然後就是五趴五萬元對謝謝感謝好那我們就是第30案就不予檢列
transcript.whisperx[693].start 18525.434
transcript.whisperx[693].end 18526.516
transcript.whisperx[693].text 國務委員提案改成主決議
transcript.whisperx[694].start 18532.713
transcript.whisperx[694].end 18556.525
transcript.whisperx[694].text 來那個修正通過第32案王世堅委員那請王世堅委員說明主席各位同仁主計處主要的功能就是統計、調查、分析結果他在最重要的CPI指數這個部分長期以來他們的統計、調查、分析都失真跟社會了解感受到的狀況嚴重差異比方說像那個房價
transcript.whisperx[695].start 18559.987
transcript.whisperx[695].end 18582.322
transcript.whisperx[695].text 房價他不列入,他只列房租而房租又是在整個十大項目裡面最重要一項光房租就佔16%而他房租調查的戶數才1350戶人家民間隨便啦,隨便一個統計都上百萬戶內政部送來說包租貸款的也送個30萬戶給他們做參考都沒有,所以主席
transcript.whisperx[696].start 18582.902
transcript.whisperx[696].end 18600.131
transcript.whisperx[696].text 我不浪費大家時間我認為在這個部分我希望說凍結凍結那他們請他們這三個月內提出解決的方案然後要經過我們財委會同意以後使得凍結這我的看法好來那個品綴委員請
transcript.whisperx[697].start 18603.602
transcript.whisperx[697].end 18626.806
transcript.whisperx[697].text 這個調查的這個東西是行之有年你要跟動當然是這個可以討論但是你現在在審查預算的時候他的經費你要這樣子給他洞察、洞知、經過我們報告將來要為他這個事情要專門開一個財政委員會是不是書面然後經過你同意不要一定要專案報告專案報告是要來財政委員會開會沒有專案報告
transcript.whisperx[698].start 18632.821
transcript.whisperx[698].end 18657.693
transcript.whisperx[698].text 沒有你這邊要經過財政委員會同意啊財政委員會同意當然要開會啊那他送給我書面報告書面報告好啦那你就送好不要經過財委好好那我就送我啦我同意再動之那這第32案32案那個改書面改書面報告當行動結束上面是二十下面是三十那個
transcript.whisperx[699].start 18662.322
transcript.whisperx[699].end 18666.15
transcript.whisperx[699].text 下面打錯了,他們打錯了,20%、20%、凍結28%凍結28%加書面改善方案書面給我書面給王世堅委員
transcript.whisperx[700].start 18675.302
transcript.whisperx[700].end 18704.057
transcript.whisperx[700].text 好 那我們修正通過那進入到第33案33案是賴慧妍委員提案的那就是我們凍結18好 遵照辦理照案通過來 34案那個黃珊珊委員提案珊珊我們希望還是一樣凍結然後提她提報告是好
transcript.whisperx[701].start 18705.444
transcript.whisperx[701].end 18718.179
transcript.whisperx[701].text 好 遵照辦理進入到第35萬那個簡略第6幕五百萬那個現場的委員有沒有其他的建議主計
transcript.whisperx[702].start 18722.162
transcript.whisperx[702].end 18748.234
transcript.whisperx[702].text 來那個說明這一案是不是懇請委員就是說第35案跟第36案其實簡略的原因是一樣的就是跟去年比但是因為我們普查是五年一次的進程所以從現在開始其實會一年一年增加而且增幅都會很大這是很正常的事所以應該是要跟五年這個這樣好不好因為我們對主計總處都很客氣啦都沒有刪到什麼錢喔那這個普查也都是
transcript.whisperx[703].start 18750.575
transcript.whisperx[703].end 18750.855
transcript.whisperx[703].text 委員會主席
transcript.whisperx[704].start 18767.927
transcript.whisperx[704].end 18768.047
transcript.whisperx[704].text 委員會主席
transcript.whisperx[705].start 18784.295
transcript.whisperx[705].end 18797.524
transcript.whisperx[705].text 第三十五跟三十六案簡略國事普查業務100萬科目自行調整進入到第三十七案
transcript.whisperx[706].start 18802.818
transcript.whisperx[706].end 18824.17
transcript.whisperx[706].text 三七三八併入3536本來三七他們同意三四十啦三八同意三二十啦所以很接近了啦三七三八併入併入前面的可以了可以了謝謝委員謝謝委員是好三七三八案併入第35案
transcript.whisperx[707].start 18828.754
transcript.whisperx[707].end 18833.999
transcript.whisperx[707].text 第三十九案李延秀委員提議凍結第六幕已經獲得林委員的同意就是凍結二分之一加書面
transcript.whisperx[708].start 18846.673
transcript.whisperx[708].end 18866.802
transcript.whisperx[708].text 就不是中央報告,是書面報告?對,加書面,是好,那個第39案,改動二分之一,那加書面他不用向委員會提出來?不用,不用,不用,對好,修正通過你給他也要給我們啊
transcript.whisperx[709].start 18870.011
transcript.whisperx[709].end 18876.918
transcript.whisperx[709].text 第40案吳立法委員提出的國家統計資料包含各族群的分析
transcript.whisperx[710].start 18890.474
transcript.whisperx[710].end 18898.617
transcript.whisperx[710].text 來第41、41這個跟41那個陳一貞委員那個檢略第8目500萬報告主席這個我們建議41跟賴氏堡委員的44、45、46、47併案來處理因為討論的都是主計諮詢業務這個科目那因為來41、44、45、46
transcript.whisperx[711].start 18919.506
transcript.whisperx[711].end 18919.726
transcript.whisperx[711].text 五案合併討論
transcript.whisperx[712].start 18940.537
transcript.whisperx[712].end 18954.882
transcript.whisperx[712].text 稅計、會計、資訊管理系統三、三十萬然後統計及行政資訊管理沒關係,那個你項目164項目自行調整沒有沒有沒有,這個都是他們同意的啦好,來,那個第41案44、45、46、47檢列那個主計資訊業務120萬那科目自行調整好不好
transcript.whisperx[713].start 18969.408
transcript.whisperx[713].end 18986.399
transcript.whisperx[713].text 來我們進入到第42案這個是珊珊委員那個提案那珊珊一個月改三個月啦但是我早上質詢的時候主計長答應一個月啊所以改回來吧一個月謝謝好改回來一個月
transcript.whisperx[714].start 18989.2
transcript.whisperx[714].end 19016.36
transcript.whisperx[714].text 報告委員這個報告名稱我昨天有跟委員辦公室有討論說我們報告名稱把它改成強化數位政府效能提升電子化核銷是推動換身及實存方向並說明電子化票實行現況我跟你講你自己做文字修正就好啦你自己做文字修正就好了好那就是第42案一個文字修正好不好好
transcript.whisperx[715].start 19017.654
transcript.whisperx[715].end 19020.796
transcript.whisperx[715].text 動5%進入到第43案第43案併過來併42有沒有溝通請主計說明一下
transcript.whisperx[716].start 19044.591
transcript.whisperx[716].end 19049.153
transcript.whisperx[716].text 主席在這裡宣布第42案、43案併案動5%以42案為主
transcript.whisperx[717].start 19074.475
transcript.whisperx[717].end 19076.496
transcript.whisperx[717].text 一個院內提書面報告第48、49案
transcript.whisperx[718].start 19086.607
transcript.whisperx[718].end 19090.068
transcript.whisperx[718].text 審計部、審計部新北市審計處、審計部新北市審計處、審計部新北市審計處、審計部新北市審計處
transcript.whisperx[719].start 19112.998
transcript.whisperx[719].end 19114.24
transcript.whisperx[719].text 委員會委員會委員會委員會
transcript.whisperx[720].start 19127.995
transcript.whisperx[720].end 19151.27
transcript.whisperx[720].text 今年就一億八千四他對於要增加這些資訊軟體設備費這一些他沒有做一個合理的說明而且事實上很多調查都是在當化妝師等於幫執政政府這樣插冤之謀很不對我們應該調查詳實調查跟民間了解的
transcript.whisperx[721].start 19152.15
transcript.whisperx[721].end 19173.584
transcript.whisperx[721].text 數字要相符合才符合民意這才對所以要不然就是說是不是凍結我簡略改凍結那希望他們提出為什麼這幾年你逐年增加增加這麼多到底你買哪些做哪些你對於哪一些調查你應該頻率增加比方說國庫調查
transcript.whisperx[722].start 19175.425
transcript.whisperx[722].end 19188.689
transcript.whisperx[722].text 過去30年才調查一次啊現在好不容易改成4年調查一次是不是把更應該頻率更高比方說我兩年調查一次那你這樣買這些設備才有意義嘛我建議一下那個那個王委員這個錢
transcript.whisperx[723].start 19193.631
transcript.whisperx[723].end 19194.372
transcript.whisperx[723].text 法定人數不足
transcript.whisperx[724].start 19215.863
transcript.whisperx[724].end 19240.347
transcript.whisperx[724].text 昨天有跟委員辦公室主任有詳細說明了也有把名系的增減是是是那其實都是一些資安的一些設備的汰換或者是說有一些虛擬主機它其實已經超過7年了必須要更換那這個理由其實昨天都有提供給委員辦公室的主任參考了那也跟派委員的主任講這個錢不是給你們自己用的嗎
transcript.whisperx[725].start 19241.507
transcript.whisperx[725].end 19256.293
transcript.whisperx[725].text 外面廠商把他砍一點大家這麼辛苦就把他砍一點這個東西還好啦我覺得還好因為你已經掙掉這麼多了嘛他要砍千萬不要五百啦,一二五啦好不好一二五啦不要動情的就直接砍250啦250250250250
transcript.whisperx[726].start 19267.858
transcript.whisperx[726].end 19290.632
transcript.whisperx[726].text 好啦我考慮三分鐘你們先繼續進行下面好不好因為他們昨天提的數字有些...兩百五...兩百五拍天啦給我找個三百啦給我找個三百啦三百...三百...好來我宣佈一下主席宣佈啦我確實都有拿那些細目出來他們...他們那個...賣了兩百啦兩百五如果不好聽就兩百嘛
transcript.whisperx[727].start 19296.496
transcript.whisperx[727].end 19299.759
transcript.whisperx[727].text 第48、49、50併案檢列其他設備200萬加科目自行調整
transcript.whisperx[728].start 19322.881
transcript.whisperx[728].end 19350.894
transcript.whisperx[728].text 好來我們進入到第51議案那個主決議這個主決議要議案就再來好51那進入到5252有跟委員辦公室溝通他同意我們修正文字好來修正文字他這個有修正文字你的那個第52修正通過
transcript.whisperx[729].start 19353.616
transcript.whisperx[729].end 19380.122
transcript.whisperx[729].text 這個我這樣子好不好這個我是建議立委的文字盡量不要修正啦除了把你們罵人慘不然盡量不要修正你們的文筆不見得比我們好啊對不對啊今天你們的建請案都是都是SAKURA就很客氣的沒有什麼要求就都是建請的不是嗎來說明一下跟委員報告就是說這一案是要求我們要這樣做然後我們是
transcript.whisperx[730].start 19381.209
transcript.whisperx[730].end 19408.551
transcript.whisperx[730].text 把裡面跟現在有做的跟無法跟規定比較不符合的部分刪掉另外是說要把這個相關付表再附在我們預算書就會增加預算的量我們把這幾個計劃刪除掉而已上說明好第52案那個修正通過來進入到第53案第53案遵照辦理好53案遵照案通過
transcript.whisperx[731].start 19410.175
transcript.whisperx[731].end 19410.518
transcript.whisperx[731].text 進入第54案
transcript.whisperx[732].start 19413.007
transcript.whisperx[732].end 19441.005
transcript.whisperx[732].text 五十四的部分就是三個月送書面報告好 兩個月改三個月加書面那五十五的部分也是在講基金存續是不是就可以拼五十四一案一案來好不好那五十五就是也是兩個月改成三個月等一下 那我把五十四案那個宣布一下那個修正那個
transcript.whisperx[733].start 19442.526
transcript.whisperx[733].end 19462.825
transcript.whisperx[733].text 修正通過三個月改成書面再加書面進入到第55案55就是兩個月改成三個月一樣修正通過56也是一個月改成三個月
transcript.whisperx[734].start 19467.267
transcript.whisperx[734].end 19488.492
transcript.whisperx[734].text 五十七一個月改成三個月五十八沒有問題五十九我們有建議修正文字修正文字資料委員說是不是要現場溝通
transcript.whisperx[735].start 19498.368
transcript.whisperx[735].end 19502.389
transcript.whisperx[735].text 五十九案修正通過進入六十案遵照辦理進入審計部預算提案總共二十四案
transcript.whisperx[736].start 19515.759
transcript.whisperx[736].end 19535.538
transcript.whisperx[736].text 謝謝、謝謝、謝謝、謝謝、謝謝、謝謝、謝謝、謝謝、謝謝、謝謝、謝謝
transcript.whisperx[737].start 19543.041
transcript.whisperx[737].end 19549.308
transcript.whisperx[737].text 第一案陳一貞委員提案人是陳一貞委員改成主決議第二案郭國文委員
transcript.whisperx[738].start 19565.34
transcript.whisperx[738].end 19580.726
transcript.whisperx[738].text 簡略實案科目簡略實案基本行政工作維持科目自行調整報告主席這個案併第4案併第4案委員同意第二案併第4案賴氏堡委員併案
transcript.whisperx[739].start 19594.07
transcript.whisperx[739].end 19594.47
transcript.whisperx[739].text 第3項遵照辦理第5項郭國榮委員
transcript.whisperx[740].start 19604.022
transcript.whisperx[740].end 19605.423
transcript.whisperx[740].text 剪列50萬剪列50剪列50剪列50
transcript.whisperx[741].start 19630.906
transcript.whisperx[741].end 19632.088
transcript.whisperx[741].text 檢列50萬是房屋建築及設計會
transcript.whisperx[742].start 19649.946
transcript.whisperx[742].end 19666.506
transcript.whisperx[742].text 檢略50萬是辦公室設備的淘汰基金、辦公室聽設的整修那你科目自行調整好不好好謝謝來進入到第6案第6案已經併了進入到第7案
transcript.whisperx[743].start 19670.626
transcript.whisperx[743].end 19696.542
transcript.whisperx[743].text 第7案羅明財委員提議改成主決議好,那就修正通過第8案賴斯堡委員提案他簡列10萬加科目自行調整那用中央政府審計工作好,那就是科目自行調整
transcript.whisperx[744].start 19698.104
transcript.whisperx[744].end 19701.829
transcript.whisperx[744].text 來進入到第9案吳立法委員提案的改成組決議
transcript.whisperx[745].start 19704.229
transcript.whisperx[745].end 19728.238
transcript.whisperx[745].text 第10案郭國榮委員凍結50萬文字修正郭委員同意有跟他們溝通過了謝謝委員謝謝第10案修正通過第11案君照辦理黃珊珊委員提案的君照辦理照案通過第12案顏寬恆委員
transcript.whisperx[746].start 19731.267
transcript.whisperx[746].end 19745.315
transcript.whisperx[746].text 因為是國內理會是統三然後所以我們就不宜處理對不宜處理對這個到那個回到那個院會處理第12案國公委員這個也是改成主決議了等一下等一下第13案國公委員來你說明一下
transcript.whisperx[747].start 19754.301
transcript.whisperx[747].end 19773.162
transcript.whisperx[747].text 這個審計部這一次的國外旅費增幅大概17%我知道那個主審之間有一些分工那駐外單位的問題其實老實講聽聞不斷駐外單位的部分比較多的部分當然是外管的部分是外交部第二多的應該是文化部吧第二多是哪個單位
transcript.whisperx[748].start 19776.305
transcript.whisperx[748].end 19802.927
transcript.whisperx[748].text 僑委會外交部跟僑委會嗎?第三個單位是什麼?文化部沒有錯嘛來第四個經濟部經濟部大概有幾個經濟部經濟部都是在重點區域重點區域嗎?大城市嗎?大國家嗎?美國西岸那第五個呢?第五個主要是國防單位就大概約類是這五個單位對部會大概這五個你們這樣子跟主審之間可以分得完嗎?
transcript.whisperx[749].start 19805.543
transcript.whisperx[749].end 19825.357
transcript.whisperx[749].text 主計跟審計之間分工分得完嗎還是抓重點我們自己都是抽查啦抽查就是我們像以外交部跟委員報告來說跟外交部的例子為例外交部他們也有集合會派出去我們盡量不要跟他重點部本會自己也會去我們不要跟他重點可是部本會自己會cover啊
transcript.whisperx[750].start 19826.898
transcript.whisperx[750].end 19850.588
transcript.whisperx[750].text 有時候他們自己會cover你們去財是屬於類似內部的監督行政系統那我們現在最大的困難你看這個額度其實很看起來增加時期看起來很多但是總數其實很少所以為什麼我沒有刪的原因嘛我講白點後來說明我知所謂但是我所有在麻煩把這些外管的問題羅列一份給本席可以所以遵照辦理
transcript.whisperx[751].start 19852.519
transcript.whisperx[751].end 19876.64
transcript.whisperx[751].text 好 謝謝那個第13案那個我們改成主決議那修正通過那我們進入到第14案吳立法委員提案的這案遵照辦理遵照辦理第14案來進入到第15案就是也是國內理會我們就不予處理那我們進入到第16案遵照辦理
transcript.whisperx[752].start 19878.582
transcript.whisperx[752].end 19890.652
transcript.whisperx[752].text 這個也是國內理會所以我們也不處理第16遵照辦理第17遵照辦理第18遵照辦理第19遵照辦理
transcript.whisperx[753].start 19904.563
transcript.whisperx[753].end 19930.513
transcript.whisperx[753].text 二十案 遵照辦理 照案通過第二十一案 委員同意修正文字改成三個月內一個月改三個月修正通過第二十二案 遵照辦理 照案通過第二十三案 遵照辦理 照案通過第二十四案 遵照辦理 照案通過
transcript.whisperx[754].start 19933.735
transcript.whisperx[754].end 19933.875
transcript.whisperx[754].text 臺北市審計局長
transcript.whisperx[755].start 19957.797
transcript.whisperx[755].end 19960.742
transcript.whisperx[755].text 徵詢一下徵詢一下徵詢一下徵詢一下徵詢一下徵詢一下
transcript.whisperx[756].start 19975.148
transcript.whisperx[756].end 19976.889
transcript.whisperx[756].text 法定人數不足
transcript.whisperx[757].start 20000.384
transcript.whisperx[757].end 20001.485
transcript.whisperx[757].text 我就是在等你
transcript.whisperx[758].start 20022.281
transcript.whisperx[758].end 20023.082
transcript.whisperx[758].text 法定人數不足
transcript.whisperx[759].start 20038.215
transcript.whisperx[759].end 20042.179
transcript.whisperx[759].text 請議事人員先讀我們的協商結論
transcript.whisperx[760].start 20064.653
transcript.whisperx[760].end 20088.953
transcript.whisperx[760].text 主計總處部分第一案、第二案、第三案並案一般行政扣除人事經費外凍結10%與第三案為主提書面報告第四案照案通過第五案、第六案並案基本行政工作維持檢列50萬元科目執行調整第七案改凍結22萬元提書面報告
transcript.whisperx[761].start 20092.247
transcript.whisperx[761].end 20101.84
transcript.whisperx[761].text 第8案修正通過一個月改三個月第9案至第13案冰案凍結10%一個月改三個月以第12案為主
transcript.whisperx[762].start 20108.167
transcript.whisperx[762].end 20118.392
transcript.whisperx[762].text 第14案改凍結10%第15案、16案併案改組決議提書面報告以第15案為主第17案改凍結15萬元提書面報告第18案改凍結10%提書面報告第19案至第28案併案凍結10%以第21案為主提書面報告一個月、兩個月、經改為三個月
transcript.whisperx[763].start 20135.202
transcript.whisperx[763].end 20161.55
transcript.whisperx[763].text 第二十九案改凍結五十萬元提書面報告三個月改一個月第三十案不宜檢列第三十一案改組決議第三十二案凍結百分之二十提書面報告第三十三案照案通過第三十四案照案通過第三十五、三十六、三十七、三十八並按檢列國事普查業務一百萬元科目自行調整
transcript.whisperx[764].start 20164.5
transcript.whisperx[764].end 20190.652
transcript.whisperx[764].text 第三十九案凍結二分之一提書面報告第四十案照案通過第四十一、四十四、四十五、四十六、四十七並案檢列主計諮詢業務一百二十萬元科目執行調整第四十二、四十三並案凍結百分之五以第四十二案為主三個月改一個月
transcript.whisperx[765].start 20192.884
transcript.whisperx[765].end 20217.239
transcript.whisperx[765].text 文字修正第48、49、50併案檢略其他設備200萬元科目資金調整第51案照案通過第52案修正通過第53案照案通過第54案修正通過兩個月改三個月提書面報告第55案修正通過兩個月改三個月
transcript.whisperx[766].start 20219.093
transcript.whisperx[766].end 20244.695
transcript.whisperx[766].text 第56案修正通過,一個月改三個月第17案修正通過,一個月改三個月第58案照案通過,第59案修正通過第60案修正通過,跟證照案通過審計部部分第一案改組決議第二案及第四案並按基本行政工作維持簡略10萬元科目自行調整
transcript.whisperx[767].start 20246.994
transcript.whisperx[767].end 20263.674
transcript.whisperx[767].text 第三案照案通過第五案、第六案併案檢列辦公室務設備汰換及辦公廳設整修50萬元科目執行調整第七案改組決議第八案中央政府審計工作檢列10萬元科目執行調整第九案改組決議
transcript.whisperx[768].start 20265.296
transcript.whisperx[768].end 20289.365
transcript.whisperx[768].text 第10案凍結50萬元文字修正第11案照案通過第12案不予處理第13案改組決議第14案照案通過第15案不予處理第16案不予處理第17案照案通過第18案照案通過第19案照案通過第20案
transcript.whisperx[769].start 20291.696
transcript.whisperx[769].end 20297.339
transcript.whisperx[769].text 修正通過1個月21案修正通過1個月改3個月第22案召喚通過23案召喚通過24案召喚通過
transcript.whisperx[770].start 20316.953
transcript.whisperx[770].end 20332.707
transcript.whisperx[770].text 第16案是照案通過有沒有問題請問各位委員對協商的結論有沒有意義沒有意義那我們就通過本次會議做成如下的決議意義報告說明詢答完畢
transcript.whisperx[771].start 20333.968
transcript.whisperx[771].end 20353.583
transcript.whisperx[771].text 二、委員質詢若未及答覆或請補充資訊,請相關部會在一週內以書面答覆。委員另外要求期限者從期鎖定那審查中華民國114年度中央政府總預算案有關行政院主計總處審計部、審計部臺北市審計處、審計部新北市、桃園市
transcript.whisperx[772].start 20361.22
transcript.whisperx[772].end 20364.85
transcript.whisperx[772].text 桃園市、臺中市、臺南市、高雄市
transcript.whisperx[773].start 20366.24
transcript.whisperx[773].end 20391.759
transcript.whisperx[773].text 直轄市及縣市政府調整軍公教人員待役的準備跟災害準備金跟第二億倍金的預算案除了照協商結論通過以外其的部分均列照列有關正式別稅出預算隨從以上的機關機關別審查結果調整請問各位委員對以上的決議有沒有意義
transcript.whisperx[774].start 20392.58
transcript.whisperx[774].end 20405.697
transcript.whisperx[774].text 沒有異議那就通過本次會議的議程已經進行完畢若有不在場的委員補題書面執行一併列入記錄、刊登公報並請議事人員協助處理。散會
transcript.whisperx[775].start 20410.431
transcript.whisperx[775].end 20410.611
transcript.whisperx[775].text 主席謝謝