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 |