iVOD / 16908

Field Value
IVOD_ID 16908
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16908
日期 2025-09-19
會議資料.會議代碼 全院委員會-11-4-1
會議資料.會議代碼:str 第11屆第4會期第1次全院委員會會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 1
會議資料.種類 全院委員會
會議資料.標題 第11屆第4會期第1次全院委員會會議
影片種類 Full
開始時間 2025-09-19T14:31:18+08:00
結束時間 2025-09-19T17:50:00+08:00
影片長度 03:18:42
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a60997e00f4fa55ef969f6eb09ca41e57aaf1771dcf01385b395344a29aaec0ab57c5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-09-19T15:00:00+08:00
會議名稱 第11屆第4會期第1次全院委員會會議(事由:總統咨,為審計部審計長陳瑞敏任期於114年10月1日屆滿,茲依據憲法第一百零四條規定,提名陳瑞敏續任審計部審計長,咨請同意案。)
委員名稱 完整會議
委員發言時間 14:31:18 - 17:50:00
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 1776.83346875
transcript.pyannote[0].end 1779.48284375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 1779.70221875
transcript.pyannote[1].end 1780.51221875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 1781.27159375
transcript.pyannote[2].end 1783.56659375
transcript.pyannote[3].speaker SPEAKER_07
transcript.pyannote[3].start 1785.50721875
transcript.pyannote[3].end 1790.18159375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 1790.92409375
transcript.pyannote[4].end 1792.12221875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 1792.93221875
transcript.pyannote[5].end 1793.86034375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 1794.13034375
transcript.pyannote[6].end 1794.31596875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 1795.31159375
transcript.pyannote[7].end 1800.67784375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 1801.13346875
transcript.pyannote[8].end 1809.55409375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 1810.29659375
transcript.pyannote[9].end 1812.96284375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 1813.40159375
transcript.pyannote[10].end 1830.47909375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 1831.99784375
transcript.pyannote[11].end 1845.75096875
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 1846.27409375
transcript.pyannote[12].end 1847.79284375
transcript.pyannote[13].speaker SPEAKER_08
transcript.pyannote[13].start 1858.66034375
transcript.pyannote[13].end 1861.30971875
transcript.pyannote[14].speaker SPEAKER_08
transcript.pyannote[14].start 1861.76534375
transcript.pyannote[14].end 1864.93784375
transcript.pyannote[15].speaker SPEAKER_08
transcript.pyannote[15].start 1865.42721875
transcript.pyannote[15].end 1867.58721875
transcript.pyannote[16].speaker SPEAKER_08
transcript.pyannote[16].start 1867.97534375
transcript.pyannote[16].end 1868.90346875
transcript.pyannote[17].speaker SPEAKER_08
transcript.pyannote[17].start 1869.17346875
transcript.pyannote[17].end 1870.70909375
transcript.pyannote[18].speaker SPEAKER_08
transcript.pyannote[18].start 1871.36721875
transcript.pyannote[18].end 1872.21096875
transcript.pyannote[19].speaker SPEAKER_08
transcript.pyannote[19].start 1872.88596875
transcript.pyannote[19].end 1873.62846875
transcript.pyannote[20].speaker SPEAKER_08
transcript.pyannote[20].start 1874.40471875
transcript.pyannote[20].end 1876.80096875
transcript.pyannote[21].speaker SPEAKER_08
transcript.pyannote[21].start 1877.34096875
transcript.pyannote[21].end 1880.47971875
transcript.pyannote[22].speaker SPEAKER_08
transcript.pyannote[22].start 1880.96909375
transcript.pyannote[22].end 1881.66096875
transcript.pyannote[23].speaker SPEAKER_08
transcript.pyannote[23].start 1882.08284375
transcript.pyannote[23].end 1883.83784375
transcript.pyannote[24].speaker SPEAKER_08
transcript.pyannote[24].start 1883.97284375
transcript.pyannote[24].end 1885.54221875
transcript.pyannote[25].speaker SPEAKER_08
transcript.pyannote[25].start 1885.96409375
transcript.pyannote[25].end 1886.89221875
transcript.pyannote[26].speaker SPEAKER_08
transcript.pyannote[26].start 1887.29721875
transcript.pyannote[26].end 1888.15784375
transcript.pyannote[27].speaker SPEAKER_08
transcript.pyannote[27].start 1888.79909375
transcript.pyannote[27].end 1889.54159375
transcript.pyannote[28].speaker SPEAKER_08
transcript.pyannote[28].start 1890.14909375
transcript.pyannote[28].end 1891.73534375
transcript.pyannote[29].speaker SPEAKER_08
transcript.pyannote[29].start 1892.46096875
transcript.pyannote[29].end 1894.50284375
transcript.pyannote[30].speaker SPEAKER_08
transcript.pyannote[30].start 1895.19471875
transcript.pyannote[30].end 1896.73034375
transcript.pyannote[31].speaker SPEAKER_08
transcript.pyannote[31].start 1896.98346875
transcript.pyannote[31].end 1898.23221875
transcript.pyannote[32].speaker SPEAKER_08
transcript.pyannote[32].start 1898.70471875
transcript.pyannote[32].end 1904.84721875
transcript.pyannote[33].speaker SPEAKER_08
transcript.pyannote[33].start 1906.85534375
transcript.pyannote[33].end 1907.24346875
transcript.pyannote[34].speaker SPEAKER_08
transcript.pyannote[34].start 1908.05346875
transcript.pyannote[34].end 1914.39846875
transcript.pyannote[35].speaker SPEAKER_08
transcript.pyannote[35].start 1914.75284375
transcript.pyannote[35].end 1915.39409375
transcript.pyannote[36].speaker SPEAKER_08
transcript.pyannote[36].start 1916.35596875
transcript.pyannote[36].end 1917.65534375
transcript.pyannote[37].speaker SPEAKER_08
transcript.pyannote[37].start 1917.70596875
transcript.pyannote[37].end 1920.25409375
transcript.pyannote[38].speaker SPEAKER_08
transcript.pyannote[38].start 1920.43971875
transcript.pyannote[38].end 1921.28346875
transcript.pyannote[39].speaker SPEAKER_08
transcript.pyannote[39].start 1925.56971875
transcript.pyannote[39].end 1932.84284375
transcript.pyannote[40].speaker SPEAKER_08
transcript.pyannote[40].start 1933.29846875
transcript.pyannote[40].end 1935.88034375
transcript.pyannote[41].speaker SPEAKER_08
transcript.pyannote[41].start 1936.36971875
transcript.pyannote[41].end 1940.57159375
transcript.pyannote[42].speaker SPEAKER_08
transcript.pyannote[42].start 1940.62221875
transcript.pyannote[42].end 1941.90471875
transcript.pyannote[43].speaker SPEAKER_08
transcript.pyannote[43].start 1942.17471875
transcript.pyannote[43].end 1942.52909375
transcript.pyannote[44].speaker SPEAKER_08
transcript.pyannote[44].start 1943.00159375
transcript.pyannote[44].end 1944.40221875
transcript.pyannote[45].speaker SPEAKER_08
transcript.pyannote[45].start 1944.53721875
transcript.pyannote[45].end 1945.22909375
transcript.pyannote[46].speaker SPEAKER_08
transcript.pyannote[46].start 1945.53284375
transcript.pyannote[46].end 1947.82784375
transcript.pyannote[47].speaker SPEAKER_08
transcript.pyannote[47].start 1948.14846875
transcript.pyannote[47].end 1948.99221875
transcript.pyannote[48].speaker SPEAKER_08
transcript.pyannote[48].start 1949.02596875
transcript.pyannote[48].end 1951.16909375
transcript.pyannote[49].speaker SPEAKER_08
transcript.pyannote[49].start 1951.59096875
transcript.pyannote[49].end 1954.20659375
transcript.pyannote[50].speaker SPEAKER_08
transcript.pyannote[50].start 1954.72971875
transcript.pyannote[50].end 1956.06284375
transcript.pyannote[51].speaker SPEAKER_08
transcript.pyannote[51].start 1956.55221875
transcript.pyannote[51].end 1959.53909375
transcript.pyannote[52].speaker SPEAKER_08
transcript.pyannote[52].start 1960.01159375
transcript.pyannote[52].end 1961.20971875
transcript.pyannote[53].speaker SPEAKER_08
transcript.pyannote[53].start 1961.69909375
transcript.pyannote[53].end 1965.95159375
transcript.pyannote[54].speaker SPEAKER_08
transcript.pyannote[54].start 1966.27221875
transcript.pyannote[54].end 1967.08221875
transcript.pyannote[55].speaker SPEAKER_08
transcript.pyannote[55].start 1968.16221875
transcript.pyannote[55].end 1968.44909375
transcript.pyannote[56].speaker SPEAKER_08
transcript.pyannote[56].start 1968.83721875
transcript.pyannote[56].end 1978.67534375
transcript.pyannote[57].speaker SPEAKER_08
transcript.pyannote[57].start 1978.75971875
transcript.pyannote[57].end 1981.10534375
transcript.pyannote[58].speaker SPEAKER_08
transcript.pyannote[58].start 1981.32471875
transcript.pyannote[58].end 1982.60721875
transcript.pyannote[59].speaker SPEAKER_08
transcript.pyannote[59].start 1983.01221875
transcript.pyannote[59].end 1989.05346875
transcript.pyannote[60].speaker SPEAKER_08
transcript.pyannote[60].start 1989.25596875
transcript.pyannote[60].end 1990.79159375
transcript.pyannote[61].speaker SPEAKER_08
transcript.pyannote[61].start 1991.06159375
transcript.pyannote[61].end 1991.56784375
transcript.pyannote[62].speaker SPEAKER_08
transcript.pyannote[62].start 1993.49159375
transcript.pyannote[62].end 2000.15721875
transcript.pyannote[63].speaker SPEAKER_08
transcript.pyannote[63].start 2001.00096875
transcript.pyannote[63].end 2003.93721875
transcript.pyannote[64].speaker SPEAKER_08
transcript.pyannote[64].start 2004.61221875
transcript.pyannote[64].end 2007.56534375
transcript.pyannote[65].speaker SPEAKER_08
transcript.pyannote[65].start 2008.10534375
transcript.pyannote[65].end 2017.72409375
transcript.pyannote[66].speaker SPEAKER_08
transcript.pyannote[66].start 2018.85471875
transcript.pyannote[66].end 2033.23221875
transcript.pyannote[67].speaker SPEAKER_08
transcript.pyannote[67].start 2034.43034375
transcript.pyannote[67].end 2041.77096875
transcript.pyannote[68].speaker SPEAKER_08
transcript.pyannote[68].start 2041.99034375
transcript.pyannote[68].end 2049.87096875
transcript.pyannote[69].speaker SPEAKER_08
transcript.pyannote[69].start 2050.47846875
transcript.pyannote[69].end 2052.90846875
transcript.pyannote[70].speaker SPEAKER_08
transcript.pyannote[70].start 2053.21221875
transcript.pyannote[70].end 2058.03846875
transcript.pyannote[71].speaker SPEAKER_08
transcript.pyannote[71].start 2058.24096875
transcript.pyannote[71].end 2059.37159375
transcript.pyannote[72].speaker SPEAKER_08
transcript.pyannote[72].start 2060.41784375
transcript.pyannote[72].end 2063.69159375
transcript.pyannote[73].speaker SPEAKER_08
transcript.pyannote[73].start 2063.96159375
transcript.pyannote[73].end 2068.48409375
transcript.pyannote[74].speaker SPEAKER_08
transcript.pyannote[74].start 2068.99034375
transcript.pyannote[74].end 2071.72409375
transcript.pyannote[75].speaker SPEAKER_08
transcript.pyannote[75].start 2071.89284375
transcript.pyannote[75].end 2098.58909375
transcript.pyannote[76].speaker SPEAKER_08
transcript.pyannote[76].start 2098.82534375
transcript.pyannote[76].end 2106.08159375
transcript.pyannote[77].speaker SPEAKER_08
transcript.pyannote[77].start 2108.27534375
transcript.pyannote[77].end 2145.13034375
transcript.pyannote[78].speaker SPEAKER_08
transcript.pyannote[78].start 2145.33284375
transcript.pyannote[78].end 2145.85596875
transcript.pyannote[79].speaker SPEAKER_08
transcript.pyannote[79].start 2146.53096875
transcript.pyannote[79].end 2147.13846875
transcript.pyannote[80].speaker SPEAKER_08
transcript.pyannote[80].start 2147.74596875
transcript.pyannote[80].end 2148.79221875
transcript.pyannote[81].speaker SPEAKER_08
transcript.pyannote[81].start 2148.96096875
transcript.pyannote[81].end 2152.85909375
transcript.pyannote[82].speaker SPEAKER_08
transcript.pyannote[82].start 2153.41596875
transcript.pyannote[82].end 2162.22471875
transcript.pyannote[83].speaker SPEAKER_08
transcript.pyannote[83].start 2162.78159375
transcript.pyannote[83].end 2171.72534375
transcript.pyannote[84].speaker SPEAKER_08
transcript.pyannote[84].start 2171.96159375
transcript.pyannote[84].end 2181.49596875
transcript.pyannote[85].speaker SPEAKER_08
transcript.pyannote[85].start 2182.79534375
transcript.pyannote[85].end 2185.81596875
transcript.pyannote[86].speaker SPEAKER_08
transcript.pyannote[86].start 2186.30534375
transcript.pyannote[86].end 2187.73971875
transcript.pyannote[87].speaker SPEAKER_08
transcript.pyannote[87].start 2188.36409375
transcript.pyannote[87].end 2220.49409375
transcript.pyannote[88].speaker SPEAKER_08
transcript.pyannote[88].start 2221.23659375
transcript.pyannote[88].end 2228.54346875
transcript.pyannote[89].speaker SPEAKER_08
transcript.pyannote[89].start 2229.01596875
transcript.pyannote[89].end 2229.94409375
transcript.pyannote[90].speaker SPEAKER_08
transcript.pyannote[90].start 2230.90596875
transcript.pyannote[90].end 2236.05284375
transcript.pyannote[91].speaker SPEAKER_08
transcript.pyannote[91].start 2236.69409375
transcript.pyannote[91].end 2237.35221875
transcript.pyannote[92].speaker SPEAKER_08
transcript.pyannote[92].start 2237.70659375
transcript.pyannote[92].end 2238.68534375
transcript.pyannote[93].speaker SPEAKER_08
transcript.pyannote[93].start 2239.17471875
transcript.pyannote[93].end 2239.69784375
transcript.pyannote[94].speaker SPEAKER_08
transcript.pyannote[94].start 2240.13659375
transcript.pyannote[94].end 2241.89159375
transcript.pyannote[95].speaker SPEAKER_08
transcript.pyannote[95].start 2242.31346875
transcript.pyannote[95].end 2250.41346875
transcript.pyannote[96].speaker SPEAKER_08
transcript.pyannote[96].start 2250.76784375
transcript.pyannote[96].end 2253.43409375
transcript.pyannote[97].speaker SPEAKER_08
transcript.pyannote[97].start 2254.09221875
transcript.pyannote[97].end 2257.01159375
transcript.pyannote[98].speaker SPEAKER_08
transcript.pyannote[98].start 2257.45034375
transcript.pyannote[98].end 2258.44596875
transcript.pyannote[99].speaker SPEAKER_08
transcript.pyannote[99].start 2258.81721875
transcript.pyannote[99].end 2262.56346875
transcript.pyannote[100].speaker SPEAKER_08
transcript.pyannote[100].start 2264.11596875
transcript.pyannote[100].end 2271.82784375
transcript.pyannote[101].speaker SPEAKER_08
transcript.pyannote[101].start 2272.18221875
transcript.pyannote[101].end 2287.48784375
transcript.pyannote[102].speaker SPEAKER_08
transcript.pyannote[102].start 2287.75784375
transcript.pyannote[102].end 2288.50034375
transcript.pyannote[103].speaker SPEAKER_08
transcript.pyannote[103].start 2289.54659375
transcript.pyannote[103].end 2294.55846875
transcript.pyannote[104].speaker SPEAKER_08
transcript.pyannote[104].start 2294.89596875
transcript.pyannote[104].end 2303.36721875
transcript.pyannote[105].speaker SPEAKER_08
transcript.pyannote[105].start 2303.55284375
transcript.pyannote[105].end 2323.26284375
transcript.pyannote[106].speaker SPEAKER_08
transcript.pyannote[106].start 2324.39346875
transcript.pyannote[106].end 2355.05534375
transcript.pyannote[107].speaker SPEAKER_08
transcript.pyannote[107].start 2355.51096875
transcript.pyannote[107].end 2367.79596875
transcript.pyannote[108].speaker SPEAKER_08
transcript.pyannote[108].start 2368.04909375
transcript.pyannote[108].end 2368.74096875
transcript.pyannote[109].speaker SPEAKER_08
transcript.pyannote[109].start 2369.85471875
transcript.pyannote[109].end 2372.85846875
transcript.pyannote[110].speaker SPEAKER_08
transcript.pyannote[110].start 2373.16221875
transcript.pyannote[110].end 2375.25471875
transcript.pyannote[111].speaker SPEAKER_08
transcript.pyannote[111].start 2375.92971875
transcript.pyannote[111].end 2376.33471875
transcript.pyannote[112].speaker SPEAKER_08
transcript.pyannote[112].start 2377.11096875
transcript.pyannote[112].end 2386.94909375
transcript.pyannote[113].speaker SPEAKER_08
transcript.pyannote[113].start 2388.31596875
transcript.pyannote[113].end 2388.65346875
transcript.pyannote[114].speaker SPEAKER_08
transcript.pyannote[114].start 2389.48034375
transcript.pyannote[114].end 2423.65221875
transcript.pyannote[115].speaker SPEAKER_08
transcript.pyannote[115].start 2424.34409375
transcript.pyannote[115].end 2425.59284375
transcript.pyannote[116].speaker SPEAKER_08
transcript.pyannote[116].start 2425.86284375
transcript.pyannote[116].end 2430.26721875
transcript.pyannote[117].speaker SPEAKER_08
transcript.pyannote[117].start 2430.43596875
transcript.pyannote[117].end 2431.19534375
transcript.pyannote[118].speaker SPEAKER_08
transcript.pyannote[118].start 2431.63409375
transcript.pyannote[118].end 2448.88034375
transcript.pyannote[119].speaker SPEAKER_08
transcript.pyannote[119].start 2449.89284375
transcript.pyannote[119].end 2451.12471875
transcript.pyannote[120].speaker SPEAKER_08
transcript.pyannote[120].start 2451.49596875
transcript.pyannote[120].end 2461.14846875
transcript.pyannote[121].speaker SPEAKER_08
transcript.pyannote[121].start 2462.32971875
transcript.pyannote[121].end 2472.62346875
transcript.pyannote[122].speaker SPEAKER_08
transcript.pyannote[122].start 2473.36596875
transcript.pyannote[122].end 2477.56784375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 2477.56784375
transcript.pyannote[123].end 2477.58471875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 2481.56721875
transcript.pyannote[124].end 2502.01971875
transcript.pyannote[125].speaker SPEAKER_07
transcript.pyannote[125].start 2505.54659375
transcript.pyannote[125].end 2506.03596875
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 2522.77596875
transcript.pyannote[126].end 2522.79284375
transcript.pyannote[127].speaker SPEAKER_07
transcript.pyannote[127].start 2522.99534375
transcript.pyannote[127].end 2526.94409375
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 2526.80909375
transcript.pyannote[128].end 2528.49659375
transcript.pyannote[129].speaker SPEAKER_08
transcript.pyannote[129].start 2535.90471875
transcript.pyannote[129].end 2536.63034375
transcript.pyannote[130].speaker SPEAKER_07
transcript.pyannote[130].start 2536.73159375
transcript.pyannote[130].end 2536.74846875
transcript.pyannote[131].speaker SPEAKER_07
transcript.pyannote[131].start 2536.76534375
transcript.pyannote[131].end 2539.07721875
transcript.pyannote[132].speaker SPEAKER_08
transcript.pyannote[132].start 2539.39784375
transcript.pyannote[132].end 2539.41471875
transcript.pyannote[133].speaker SPEAKER_07
transcript.pyannote[133].start 2539.41471875
transcript.pyannote[133].end 2541.92909375
transcript.pyannote[134].speaker SPEAKER_07
transcript.pyannote[134].start 2542.21596875
transcript.pyannote[134].end 2544.15659375
transcript.pyannote[135].speaker SPEAKER_07
transcript.pyannote[135].start 2544.42659375
transcript.pyannote[135].end 2546.95784375
transcript.pyannote[136].speaker SPEAKER_08
transcript.pyannote[136].start 2548.12221875
transcript.pyannote[136].end 2548.62846875
transcript.pyannote[137].speaker SPEAKER_08
transcript.pyannote[137].start 2549.40471875
transcript.pyannote[137].end 2550.63659375
transcript.pyannote[138].speaker SPEAKER_07
transcript.pyannote[138].start 2550.63659375
transcript.pyannote[138].end 2550.65346875
transcript.pyannote[139].speaker SPEAKER_07
transcript.pyannote[139].start 2550.85596875
transcript.pyannote[139].end 2551.49721875
transcript.pyannote[140].speaker SPEAKER_07
transcript.pyannote[140].start 2551.59846875
transcript.pyannote[140].end 2551.71659375
transcript.pyannote[141].speaker SPEAKER_07
transcript.pyannote[141].start 2552.45909375
transcript.pyannote[141].end 2552.91471875
transcript.pyannote[142].speaker SPEAKER_07
transcript.pyannote[142].start 2553.58971875
transcript.pyannote[142].end 2554.45034375
transcript.pyannote[143].speaker SPEAKER_07
transcript.pyannote[143].start 2554.93971875
transcript.pyannote[143].end 2560.05284375
transcript.pyannote[144].speaker SPEAKER_08
transcript.pyannote[144].start 2559.78284375
transcript.pyannote[144].end 2565.26721875
transcript.pyannote[145].speaker SPEAKER_07
transcript.pyannote[145].start 2565.60471875
transcript.pyannote[145].end 2571.20721875
transcript.pyannote[146].speaker SPEAKER_07
transcript.pyannote[146].start 2571.25784375
transcript.pyannote[146].end 2573.01284375
transcript.pyannote[147].speaker SPEAKER_08
transcript.pyannote[147].start 2571.37596875
transcript.pyannote[147].end 2571.74721875
transcript.pyannote[148].speaker SPEAKER_07
transcript.pyannote[148].start 2573.99159375
transcript.pyannote[148].end 2580.79221875
transcript.pyannote[149].speaker SPEAKER_07
transcript.pyannote[149].start 2580.80909375
transcript.pyannote[149].end 2593.71846875
transcript.pyannote[150].speaker SPEAKER_07
transcript.pyannote[150].start 2594.37659375
transcript.pyannote[150].end 2596.57034375
transcript.pyannote[151].speaker SPEAKER_07
transcript.pyannote[151].start 2596.67159375
transcript.pyannote[151].end 2603.33721875
transcript.pyannote[152].speaker SPEAKER_08
transcript.pyannote[152].start 2603.99534375
transcript.pyannote[152].end 2604.31596875
transcript.pyannote[153].speaker SPEAKER_07
transcript.pyannote[153].start 2605.14284375
transcript.pyannote[153].end 2608.55159375
transcript.pyannote[154].speaker SPEAKER_08
transcript.pyannote[154].start 2608.99034375
transcript.pyannote[154].end 2609.29409375
transcript.pyannote[155].speaker SPEAKER_07
transcript.pyannote[155].start 2609.74971875
transcript.pyannote[155].end 2610.15471875
transcript.pyannote[156].speaker SPEAKER_07
transcript.pyannote[156].start 2610.67784375
transcript.pyannote[156].end 2611.75784375
transcript.pyannote[157].speaker SPEAKER_07
transcript.pyannote[157].start 2612.12909375
transcript.pyannote[157].end 2613.42846875
transcript.pyannote[158].speaker SPEAKER_08
transcript.pyannote[158].start 2613.78284375
transcript.pyannote[158].end 2614.20471875
transcript.pyannote[159].speaker SPEAKER_08
transcript.pyannote[159].start 2614.27221875
transcript.pyannote[159].end 2614.55909375
transcript.pyannote[160].speaker SPEAKER_07
transcript.pyannote[160].start 2614.82909375
transcript.pyannote[160].end 2615.28471875
transcript.pyannote[161].speaker SPEAKER_07
transcript.pyannote[161].start 2615.72346875
transcript.pyannote[161].end 2633.40846875
transcript.pyannote[162].speaker SPEAKER_07
transcript.pyannote[162].start 2633.72909375
transcript.pyannote[162].end 2634.03284375
transcript.pyannote[163].speaker SPEAKER_07
transcript.pyannote[163].start 2634.43784375
transcript.pyannote[163].end 2634.74159375
transcript.pyannote[164].speaker SPEAKER_07
transcript.pyannote[164].start 2635.29846875
transcript.pyannote[164].end 2636.61471875
transcript.pyannote[165].speaker SPEAKER_07
transcript.pyannote[165].start 2636.66534375
transcript.pyannote[165].end 2654.09721875
transcript.pyannote[166].speaker SPEAKER_07
transcript.pyannote[166].start 2654.82284375
transcript.pyannote[166].end 2662.11284375
transcript.pyannote[167].speaker SPEAKER_07
transcript.pyannote[167].start 2662.28159375
transcript.pyannote[167].end 2663.20971875
transcript.pyannote[168].speaker SPEAKER_08
transcript.pyannote[168].start 2663.81721875
transcript.pyannote[168].end 2671.30971875
transcript.pyannote[169].speaker SPEAKER_08
transcript.pyannote[169].start 2671.78221875
transcript.pyannote[169].end 2675.14034375
transcript.pyannote[170].speaker SPEAKER_08
transcript.pyannote[170].start 2675.19096875
transcript.pyannote[170].end 2685.60284375
transcript.pyannote[171].speaker SPEAKER_07
transcript.pyannote[171].start 2684.33721875
transcript.pyannote[171].end 2706.24096875
transcript.pyannote[172].speaker SPEAKER_08
transcript.pyannote[172].start 2706.57846875
transcript.pyannote[172].end 2706.61221875
transcript.pyannote[173].speaker SPEAKER_07
transcript.pyannote[173].start 2706.61221875
transcript.pyannote[173].end 2706.96659375
transcript.pyannote[174].speaker SPEAKER_07
transcript.pyannote[174].start 2707.18596875
transcript.pyannote[174].end 2707.23659375
transcript.pyannote[175].speaker SPEAKER_07
transcript.pyannote[175].start 2707.65846875
transcript.pyannote[175].end 2722.15409375
transcript.pyannote[176].speaker SPEAKER_08
transcript.pyannote[176].start 2722.69409375
transcript.pyannote[176].end 2725.19159375
transcript.pyannote[177].speaker SPEAKER_08
transcript.pyannote[177].start 2725.42784375
transcript.pyannote[177].end 2727.75659375
transcript.pyannote[178].speaker SPEAKER_07
transcript.pyannote[178].start 2727.26721875
transcript.pyannote[178].end 2728.85346875
transcript.pyannote[179].speaker SPEAKER_08
transcript.pyannote[179].start 2728.80284375
transcript.pyannote[179].end 2730.72659375
transcript.pyannote[180].speaker SPEAKER_08
transcript.pyannote[180].start 2730.84471875
transcript.pyannote[180].end 2734.18596875
transcript.pyannote[181].speaker SPEAKER_08
transcript.pyannote[181].start 2734.25346875
transcript.pyannote[181].end 2737.00409375
transcript.pyannote[182].speaker SPEAKER_08
transcript.pyannote[182].start 2737.18971875
transcript.pyannote[182].end 2739.77159375
transcript.pyannote[183].speaker SPEAKER_08
transcript.pyannote[183].start 2740.53096875
transcript.pyannote[183].end 2740.54784375
transcript.pyannote[184].speaker SPEAKER_07
transcript.pyannote[184].start 2740.54784375
transcript.pyannote[184].end 2743.33221875
transcript.pyannote[185].speaker SPEAKER_07
transcript.pyannote[185].start 2744.31096875
transcript.pyannote[185].end 2757.82784375
transcript.pyannote[186].speaker SPEAKER_07
transcript.pyannote[186].start 2758.45221875
transcript.pyannote[186].end 2770.70346875
transcript.pyannote[187].speaker SPEAKER_07
transcript.pyannote[187].start 2770.93971875
transcript.pyannote[187].end 2772.40784375
transcript.pyannote[188].speaker SPEAKER_07
transcript.pyannote[188].start 2772.77909375
transcript.pyannote[188].end 2773.38659375
transcript.pyannote[189].speaker SPEAKER_07
transcript.pyannote[189].start 2773.94346875
transcript.pyannote[189].end 2775.41159375
transcript.pyannote[190].speaker SPEAKER_08
transcript.pyannote[190].start 2775.91784375
transcript.pyannote[190].end 2776.50846875
transcript.pyannote[191].speaker SPEAKER_08
transcript.pyannote[191].start 2777.43659375
transcript.pyannote[191].end 2780.69346875
transcript.pyannote[192].speaker SPEAKER_08
transcript.pyannote[192].start 2781.06471875
transcript.pyannote[192].end 2781.60471875
transcript.pyannote[193].speaker SPEAKER_08
transcript.pyannote[193].start 2781.82409375
transcript.pyannote[193].end 2783.27534375
transcript.pyannote[194].speaker SPEAKER_08
transcript.pyannote[194].start 2783.64659375
transcript.pyannote[194].end 2786.29596875
transcript.pyannote[195].speaker SPEAKER_07
transcript.pyannote[195].start 2783.71409375
transcript.pyannote[195].end 2784.64221875
transcript.pyannote[196].speaker SPEAKER_07
transcript.pyannote[196].start 2786.29596875
transcript.pyannote[196].end 2786.38034375
transcript.pyannote[197].speaker SPEAKER_08
transcript.pyannote[197].start 2786.95409375
transcript.pyannote[197].end 2787.15659375
transcript.pyannote[198].speaker SPEAKER_07
transcript.pyannote[198].start 2787.15659375
transcript.pyannote[198].end 2788.25346875
transcript.pyannote[199].speaker SPEAKER_08
transcript.pyannote[199].start 2787.17346875
transcript.pyannote[199].end 2788.37159375
transcript.pyannote[200].speaker SPEAKER_07
transcript.pyannote[200].start 2788.37159375
transcript.pyannote[200].end 2788.43909375
transcript.pyannote[201].speaker SPEAKER_08
transcript.pyannote[201].start 2788.57409375
transcript.pyannote[201].end 2790.83534375
transcript.pyannote[202].speaker SPEAKER_07
transcript.pyannote[202].start 2789.45159375
transcript.pyannote[202].end 2796.21846875
transcript.pyannote[203].speaker SPEAKER_07
transcript.pyannote[203].start 2797.34909375
transcript.pyannote[203].end 2799.05346875
transcript.pyannote[204].speaker SPEAKER_07
transcript.pyannote[204].start 2799.71159375
transcript.pyannote[204].end 2804.50409375
transcript.pyannote[205].speaker SPEAKER_07
transcript.pyannote[205].start 2804.52096875
transcript.pyannote[205].end 2807.89596875
transcript.pyannote[206].speaker SPEAKER_07
transcript.pyannote[206].start 2808.89159375
transcript.pyannote[206].end 2809.31346875
transcript.pyannote[207].speaker SPEAKER_08
transcript.pyannote[207].start 2809.31346875
transcript.pyannote[207].end 2809.34721875
transcript.pyannote[208].speaker SPEAKER_08
transcript.pyannote[208].start 2809.93784375
transcript.pyannote[208].end 2815.43909375
transcript.pyannote[209].speaker SPEAKER_08
transcript.pyannote[209].start 2815.70909375
transcript.pyannote[209].end 2821.48034375
transcript.pyannote[210].speaker SPEAKER_08
transcript.pyannote[210].start 2821.59846875
transcript.pyannote[210].end 2822.89784375
transcript.pyannote[211].speaker SPEAKER_07
transcript.pyannote[211].start 2822.23971875
transcript.pyannote[211].end 2825.66534375
transcript.pyannote[212].speaker SPEAKER_07
transcript.pyannote[212].start 2826.12096875
transcript.pyannote[212].end 2829.81659375
transcript.pyannote[213].speaker SPEAKER_07
transcript.pyannote[213].start 2830.15409375
transcript.pyannote[213].end 2830.17096875
transcript.pyannote[214].speaker SPEAKER_08
transcript.pyannote[214].start 2830.17096875
transcript.pyannote[214].end 2831.58846875
transcript.pyannote[215].speaker SPEAKER_07
transcript.pyannote[215].start 2831.58846875
transcript.pyannote[215].end 2831.65596875
transcript.pyannote[216].speaker SPEAKER_08
transcript.pyannote[216].start 2831.65596875
transcript.pyannote[216].end 2832.80346875
transcript.pyannote[217].speaker SPEAKER_07
transcript.pyannote[217].start 2832.80346875
transcript.pyannote[217].end 2834.37284375
transcript.pyannote[218].speaker SPEAKER_07
transcript.pyannote[218].start 2835.21659375
transcript.pyannote[218].end 2836.71846875
transcript.pyannote[219].speaker SPEAKER_07
transcript.pyannote[219].start 2837.14034375
transcript.pyannote[219].end 2837.17409375
transcript.pyannote[220].speaker SPEAKER_08
transcript.pyannote[220].start 2837.17409375
transcript.pyannote[220].end 2837.19096875
transcript.pyannote[221].speaker SPEAKER_07
transcript.pyannote[221].start 2837.19096875
transcript.pyannote[221].end 2843.24909375
transcript.pyannote[222].speaker SPEAKER_08
transcript.pyannote[222].start 2838.64221875
transcript.pyannote[222].end 2839.97534375
transcript.pyannote[223].speaker SPEAKER_07
transcript.pyannote[223].start 2843.75534375
transcript.pyannote[223].end 2848.44659375
transcript.pyannote[224].speaker SPEAKER_08
transcript.pyannote[224].start 2848.98659375
transcript.pyannote[224].end 2863.33034375
transcript.pyannote[225].speaker SPEAKER_08
transcript.pyannote[225].start 2863.48221875
transcript.pyannote[225].end 2878.02846875
transcript.pyannote[226].speaker SPEAKER_07
transcript.pyannote[226].start 2878.02846875
transcript.pyannote[226].end 2880.61034375
transcript.pyannote[227].speaker SPEAKER_07
transcript.pyannote[227].start 2880.99846875
transcript.pyannote[227].end 2884.50846875
transcript.pyannote[228].speaker SPEAKER_07
transcript.pyannote[228].start 2885.36909375
transcript.pyannote[228].end 2886.83721875
transcript.pyannote[229].speaker SPEAKER_07
transcript.pyannote[229].start 2887.24221875
transcript.pyannote[229].end 2897.68784375
transcript.pyannote[230].speaker SPEAKER_07
transcript.pyannote[230].start 2898.36284375
transcript.pyannote[230].end 2902.76721875
transcript.pyannote[231].speaker SPEAKER_07
transcript.pyannote[231].start 2903.17221875
transcript.pyannote[231].end 2904.25221875
transcript.pyannote[232].speaker SPEAKER_07
transcript.pyannote[232].start 2904.77534375
transcript.pyannote[232].end 2919.03471875
transcript.pyannote[233].speaker SPEAKER_08
transcript.pyannote[233].start 2919.03471875
transcript.pyannote[233].end 2919.42284375
transcript.pyannote[234].speaker SPEAKER_07
transcript.pyannote[234].start 2919.70971875
transcript.pyannote[234].end 2919.99659375
transcript.pyannote[235].speaker SPEAKER_07
transcript.pyannote[235].start 2920.30034375
transcript.pyannote[235].end 2930.62784375
transcript.pyannote[236].speaker SPEAKER_08
transcript.pyannote[236].start 2931.62346875
transcript.pyannote[236].end 2934.20534375
transcript.pyannote[237].speaker SPEAKER_08
transcript.pyannote[237].start 2934.55971875
transcript.pyannote[237].end 2936.78721875
transcript.pyannote[238].speaker SPEAKER_08
transcript.pyannote[238].start 2937.54659375
transcript.pyannote[238].end 2944.49909375
transcript.pyannote[239].speaker SPEAKER_07
transcript.pyannote[239].start 2942.82846875
transcript.pyannote[239].end 2951.19846875
transcript.pyannote[240].speaker SPEAKER_08
transcript.pyannote[240].start 2951.19846875
transcript.pyannote[240].end 2954.03346875
transcript.pyannote[241].speaker SPEAKER_07
transcript.pyannote[241].start 2951.36721875
transcript.pyannote[241].end 2952.05909375
transcript.pyannote[242].speaker SPEAKER_09
transcript.pyannote[242].start 2954.03346875
transcript.pyannote[242].end 2954.26971875
transcript.pyannote[243].speaker SPEAKER_08
transcript.pyannote[243].start 2954.26971875
transcript.pyannote[243].end 2957.96534375
transcript.pyannote[244].speaker SPEAKER_09
transcript.pyannote[244].start 2954.30346875
transcript.pyannote[244].end 2954.35409375
transcript.pyannote[245].speaker SPEAKER_08
transcript.pyannote[245].start 2958.50534375
transcript.pyannote[245].end 2976.32534375
transcript.pyannote[246].speaker SPEAKER_08
transcript.pyannote[246].start 2976.42659375
transcript.pyannote[246].end 2977.82721875
transcript.pyannote[247].speaker SPEAKER_07
transcript.pyannote[247].start 2977.82721875
transcript.pyannote[247].end 2981.92784375
transcript.pyannote[248].speaker SPEAKER_08
transcript.pyannote[248].start 2977.84409375
transcript.pyannote[248].end 2978.36721875
transcript.pyannote[249].speaker SPEAKER_07
transcript.pyannote[249].start 2982.34971875
transcript.pyannote[249].end 2984.77971875
transcript.pyannote[250].speaker SPEAKER_07
transcript.pyannote[250].start 2985.23534375
transcript.pyannote[250].end 3001.82346875
transcript.pyannote[251].speaker SPEAKER_00
transcript.pyannote[251].start 2988.64409375
transcript.pyannote[251].end 2988.69471875
transcript.pyannote[252].speaker SPEAKER_09
transcript.pyannote[252].start 2988.69471875
transcript.pyannote[252].end 2988.77909375
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 2988.77909375
transcript.pyannote[253].end 2988.84659375
transcript.pyannote[254].speaker SPEAKER_09
transcript.pyannote[254].start 2988.84659375
transcript.pyannote[254].end 2988.86346875
transcript.pyannote[255].speaker SPEAKER_00
transcript.pyannote[255].start 2988.86346875
transcript.pyannote[255].end 2988.88034375
transcript.pyannote[256].speaker SPEAKER_07
transcript.pyannote[256].start 3002.19471875
transcript.pyannote[256].end 3010.59846875
transcript.pyannote[257].speaker SPEAKER_08
transcript.pyannote[257].start 3011.22284375
transcript.pyannote[257].end 3015.03659375
transcript.pyannote[258].speaker SPEAKER_08
transcript.pyannote[258].start 3015.35721875
transcript.pyannote[258].end 3017.93909375
transcript.pyannote[259].speaker SPEAKER_07
transcript.pyannote[259].start 3015.61034375
transcript.pyannote[259].end 3018.56346875
transcript.pyannote[260].speaker SPEAKER_08
transcript.pyannote[260].start 3018.15846875
transcript.pyannote[260].end 3019.03596875
transcript.pyannote[261].speaker SPEAKER_08
transcript.pyannote[261].start 3019.27221875
transcript.pyannote[261].end 3023.10284375
transcript.pyannote[262].speaker SPEAKER_07
transcript.pyannote[262].start 3022.34346875
transcript.pyannote[262].end 3041.96909375
transcript.pyannote[263].speaker SPEAKER_08
transcript.pyannote[263].start 3040.60221875
transcript.pyannote[263].end 3041.17596875
transcript.pyannote[264].speaker SPEAKER_08
transcript.pyannote[264].start 3041.96909375
transcript.pyannote[264].end 3045.68159375
transcript.pyannote[265].speaker SPEAKER_08
transcript.pyannote[265].start 3046.12034375
transcript.pyannote[265].end 3052.61721875
transcript.pyannote[266].speaker SPEAKER_08
transcript.pyannote[266].start 3052.80284375
transcript.pyannote[266].end 3054.32159375
transcript.pyannote[267].speaker SPEAKER_08
transcript.pyannote[267].start 3054.54096875
transcript.pyannote[267].end 3055.26659375
transcript.pyannote[268].speaker SPEAKER_08
transcript.pyannote[268].start 3055.63784375
transcript.pyannote[268].end 3057.37596875
transcript.pyannote[269].speaker SPEAKER_08
transcript.pyannote[269].start 3057.98346875
transcript.pyannote[269].end 3062.05034375
transcript.pyannote[270].speaker SPEAKER_07
transcript.pyannote[270].start 3060.83534375
transcript.pyannote[270].end 3072.27659375
transcript.pyannote[271].speaker SPEAKER_08
transcript.pyannote[271].start 3065.03721875
transcript.pyannote[271].end 3066.40409375
transcript.pyannote[272].speaker SPEAKER_08
transcript.pyannote[272].start 3072.27659375
transcript.pyannote[272].end 3072.44534375
transcript.pyannote[273].speaker SPEAKER_07
transcript.pyannote[273].start 3072.44534375
transcript.pyannote[273].end 3072.73221875
transcript.pyannote[274].speaker SPEAKER_08
transcript.pyannote[274].start 3072.73221875
transcript.pyannote[274].end 3079.65096875
transcript.pyannote[275].speaker SPEAKER_07
transcript.pyannote[275].start 3079.09409375
transcript.pyannote[275].end 3081.65909375
transcript.pyannote[276].speaker SPEAKER_08
transcript.pyannote[276].start 3081.86159375
transcript.pyannote[276].end 3083.22846875
transcript.pyannote[277].speaker SPEAKER_07
transcript.pyannote[277].start 3082.38471875
transcript.pyannote[277].end 3093.40409375
transcript.pyannote[278].speaker SPEAKER_08
transcript.pyannote[278].start 3093.40409375
transcript.pyannote[278].end 3093.50534375
transcript.pyannote[279].speaker SPEAKER_08
transcript.pyannote[279].start 3093.87659375
transcript.pyannote[279].end 3099.15846875
transcript.pyannote[280].speaker SPEAKER_07
transcript.pyannote[280].start 3095.85096875
transcript.pyannote[280].end 3096.93096875
transcript.pyannote[281].speaker SPEAKER_07
transcript.pyannote[281].start 3097.38659375
transcript.pyannote[281].end 3098.07846875
transcript.pyannote[282].speaker SPEAKER_07
transcript.pyannote[282].start 3098.78721875
transcript.pyannote[282].end 3102.98909375
transcript.pyannote[283].speaker SPEAKER_07
transcript.pyannote[283].start 3103.76534375
transcript.pyannote[283].end 3104.89596875
transcript.pyannote[284].speaker SPEAKER_08
transcript.pyannote[284].start 3103.93409375
transcript.pyannote[284].end 3107.03909375
transcript.pyannote[285].speaker SPEAKER_07
transcript.pyannote[285].start 3107.03909375
transcript.pyannote[285].end 3112.67534375
transcript.pyannote[286].speaker SPEAKER_08
transcript.pyannote[286].start 3107.78159375
transcript.pyannote[286].end 3108.89534375
transcript.pyannote[287].speaker SPEAKER_08
transcript.pyannote[287].start 3111.25784375
transcript.pyannote[287].end 3115.79721875
transcript.pyannote[288].speaker SPEAKER_08
transcript.pyannote[288].start 3115.86471875
transcript.pyannote[288].end 3117.06284375
transcript.pyannote[289].speaker SPEAKER_08
transcript.pyannote[289].start 3117.31596875
transcript.pyannote[289].end 3120.03284375
transcript.pyannote[290].speaker SPEAKER_07
transcript.pyannote[290].start 3119.32409375
transcript.pyannote[290].end 3119.72909375
transcript.pyannote[291].speaker SPEAKER_07
transcript.pyannote[291].start 3120.03284375
transcript.pyannote[291].end 3126.10784375
transcript.pyannote[292].speaker SPEAKER_07
transcript.pyannote[292].start 3126.37784375
transcript.pyannote[292].end 3128.04846875
transcript.pyannote[293].speaker SPEAKER_08
transcript.pyannote[293].start 3128.89221875
transcript.pyannote[293].end 3131.33909375
transcript.pyannote[294].speaker SPEAKER_07
transcript.pyannote[294].start 3131.49096875
transcript.pyannote[294].end 3131.65971875
transcript.pyannote[295].speaker SPEAKER_08
transcript.pyannote[295].start 3131.65971875
transcript.pyannote[295].end 3131.71034375
transcript.pyannote[296].speaker SPEAKER_08
transcript.pyannote[296].start 3132.62159375
transcript.pyannote[296].end 3133.36409375
transcript.pyannote[297].speaker SPEAKER_08
transcript.pyannote[297].start 3133.54971875
transcript.pyannote[297].end 3133.78596875
transcript.pyannote[298].speaker SPEAKER_07
transcript.pyannote[298].start 3133.78596875
transcript.pyannote[298].end 3143.35409375
transcript.pyannote[299].speaker SPEAKER_08
transcript.pyannote[299].start 3143.70846875
transcript.pyannote[299].end 3154.13721875
transcript.pyannote[300].speaker SPEAKER_07
transcript.pyannote[300].start 3145.54784375
transcript.pyannote[300].end 3146.76284375
transcript.pyannote[301].speaker SPEAKER_07
transcript.pyannote[301].start 3147.42096875
transcript.pyannote[301].end 3148.55159375
transcript.pyannote[302].speaker SPEAKER_08
transcript.pyannote[302].start 3154.39034375
transcript.pyannote[302].end 3155.87534375
transcript.pyannote[303].speaker SPEAKER_08
transcript.pyannote[303].start 3156.09471875
transcript.pyannote[303].end 3157.59659375
transcript.pyannote[304].speaker SPEAKER_08
transcript.pyannote[304].start 3158.67659375
transcript.pyannote[304].end 3159.11534375
transcript.pyannote[305].speaker SPEAKER_08
transcript.pyannote[305].start 3159.33471875
transcript.pyannote[305].end 3159.62159375
transcript.pyannote[306].speaker SPEAKER_07
transcript.pyannote[306].start 3160.71846875
transcript.pyannote[306].end 3161.81534375
transcript.pyannote[307].speaker SPEAKER_07
transcript.pyannote[307].start 3162.25409375
transcript.pyannote[307].end 3163.40159375
transcript.pyannote[308].speaker SPEAKER_07
transcript.pyannote[308].start 3163.48596875
transcript.pyannote[308].end 3163.50284375
transcript.pyannote[309].speaker SPEAKER_08
transcript.pyannote[309].start 3163.50284375
transcript.pyannote[309].end 3164.39721875
transcript.pyannote[310].speaker SPEAKER_07
transcript.pyannote[310].start 3163.77284375
transcript.pyannote[310].end 3165.64596875
transcript.pyannote[311].speaker SPEAKER_07
transcript.pyannote[311].start 3165.76409375
transcript.pyannote[311].end 3167.60346875
transcript.pyannote[312].speaker SPEAKER_07
transcript.pyannote[312].start 3167.85659375
transcript.pyannote[312].end 3168.46409375
transcript.pyannote[313].speaker SPEAKER_07
transcript.pyannote[313].start 3169.03784375
transcript.pyannote[313].end 3186.09846875
transcript.pyannote[314].speaker SPEAKER_07
transcript.pyannote[314].start 3186.25034375
transcript.pyannote[314].end 3189.55784375
transcript.pyannote[315].speaker SPEAKER_07
transcript.pyannote[315].start 3189.89534375
transcript.pyannote[315].end 3190.97534375
transcript.pyannote[316].speaker SPEAKER_08
transcript.pyannote[316].start 3190.97534375
transcript.pyannote[316].end 3191.65034375
transcript.pyannote[317].speaker SPEAKER_07
transcript.pyannote[317].start 3191.02596875
transcript.pyannote[317].end 3191.78534375
transcript.pyannote[318].speaker SPEAKER_08
transcript.pyannote[318].start 3191.66721875
transcript.pyannote[318].end 3191.75159375
transcript.pyannote[319].speaker SPEAKER_08
transcript.pyannote[319].start 3191.78534375
transcript.pyannote[319].end 3191.85284375
transcript.pyannote[320].speaker SPEAKER_07
transcript.pyannote[320].start 3191.85284375
transcript.pyannote[320].end 3192.27471875
transcript.pyannote[321].speaker SPEAKER_08
transcript.pyannote[321].start 3192.27471875
transcript.pyannote[321].end 3192.30846875
transcript.pyannote[322].speaker SPEAKER_07
transcript.pyannote[322].start 3192.30846875
transcript.pyannote[322].end 3192.37596875
transcript.pyannote[323].speaker SPEAKER_08
transcript.pyannote[323].start 3192.37596875
transcript.pyannote[323].end 3192.39284375
transcript.pyannote[324].speaker SPEAKER_07
transcript.pyannote[324].start 3192.39284375
transcript.pyannote[324].end 3196.89846875
transcript.pyannote[325].speaker SPEAKER_08
transcript.pyannote[325].start 3192.42659375
transcript.pyannote[325].end 3192.88221875
transcript.pyannote[326].speaker SPEAKER_08
transcript.pyannote[326].start 3195.88596875
transcript.pyannote[326].end 3197.10096875
transcript.pyannote[327].speaker SPEAKER_07
transcript.pyannote[327].start 3197.47221875
transcript.pyannote[327].end 3210.12846875
transcript.pyannote[328].speaker SPEAKER_08
transcript.pyannote[328].start 3210.70221875
transcript.pyannote[328].end 3214.02659375
transcript.pyannote[329].speaker SPEAKER_07
transcript.pyannote[329].start 3213.58784375
transcript.pyannote[329].end 3213.68909375
transcript.pyannote[330].speaker SPEAKER_07
transcript.pyannote[330].start 3214.02659375
transcript.pyannote[330].end 3214.61721875
transcript.pyannote[331].speaker SPEAKER_08
transcript.pyannote[331].start 3214.61721875
transcript.pyannote[331].end 3214.66784375
transcript.pyannote[332].speaker SPEAKER_07
transcript.pyannote[332].start 3214.66784375
transcript.pyannote[332].end 3214.70159375
transcript.pyannote[333].speaker SPEAKER_08
transcript.pyannote[333].start 3214.70159375
transcript.pyannote[333].end 3215.03909375
transcript.pyannote[334].speaker SPEAKER_07
transcript.pyannote[334].start 3215.03909375
transcript.pyannote[334].end 3224.06721875
transcript.pyannote[335].speaker SPEAKER_08
transcript.pyannote[335].start 3215.54534375
transcript.pyannote[335].end 3216.84471875
transcript.pyannote[336].speaker SPEAKER_07
transcript.pyannote[336].start 3224.99534375
transcript.pyannote[336].end 3225.51846875
transcript.pyannote[337].speaker SPEAKER_07
transcript.pyannote[337].start 3225.90659375
transcript.pyannote[337].end 3226.36221875
transcript.pyannote[338].speaker SPEAKER_08
transcript.pyannote[338].start 3226.36221875
transcript.pyannote[338].end 3226.51409375
transcript.pyannote[339].speaker SPEAKER_07
transcript.pyannote[339].start 3226.51409375
transcript.pyannote[339].end 3226.96971875
transcript.pyannote[340].speaker SPEAKER_08
transcript.pyannote[340].start 3226.96971875
transcript.pyannote[340].end 3227.22284375
transcript.pyannote[341].speaker SPEAKER_08
transcript.pyannote[341].start 3227.62784375
transcript.pyannote[341].end 3228.30284375
transcript.pyannote[342].speaker SPEAKER_08
transcript.pyannote[342].start 3228.77534375
transcript.pyannote[342].end 3242.44409375
transcript.pyannote[343].speaker SPEAKER_07
transcript.pyannote[343].start 3230.93534375
transcript.pyannote[343].end 3230.96909375
transcript.pyannote[344].speaker SPEAKER_09
transcript.pyannote[344].start 3230.96909375
transcript.pyannote[344].end 3231.96471875
transcript.pyannote[345].speaker SPEAKER_00
transcript.pyannote[345].start 3231.96471875
transcript.pyannote[345].end 3232.06596875
transcript.pyannote[346].speaker SPEAKER_00
transcript.pyannote[346].start 3232.40346875
transcript.pyannote[346].end 3232.69034375
transcript.pyannote[347].speaker SPEAKER_07
transcript.pyannote[347].start 3232.69034375
transcript.pyannote[347].end 3233.92221875
transcript.pyannote[348].speaker SPEAKER_00
transcript.pyannote[348].start 3233.92221875
transcript.pyannote[348].end 3233.95596875
transcript.pyannote[349].speaker SPEAKER_08
transcript.pyannote[349].start 3242.98409375
transcript.pyannote[349].end 3246.03846875
transcript.pyannote[350].speaker SPEAKER_07
transcript.pyannote[350].start 3246.03846875
transcript.pyannote[350].end 3263.35221875
transcript.pyannote[351].speaker SPEAKER_08
transcript.pyannote[351].start 3248.72159375
transcript.pyannote[351].end 3248.95784375
transcript.pyannote[352].speaker SPEAKER_08
transcript.pyannote[352].start 3254.91471875
transcript.pyannote[352].end 3255.30284375
transcript.pyannote[353].speaker SPEAKER_08
transcript.pyannote[353].start 3256.99034375
transcript.pyannote[353].end 3257.80034375
transcript.pyannote[354].speaker SPEAKER_08
transcript.pyannote[354].start 3264.33096875
transcript.pyannote[354].end 3267.65534375
transcript.pyannote[355].speaker SPEAKER_08
transcript.pyannote[355].start 3268.46534375
transcript.pyannote[355].end 3270.32159375
transcript.pyannote[356].speaker SPEAKER_08
transcript.pyannote[356].start 3271.50284375
transcript.pyannote[356].end 3278.86034375
transcript.pyannote[357].speaker SPEAKER_08
transcript.pyannote[357].start 3279.02909375
transcript.pyannote[357].end 3279.97409375
transcript.pyannote[358].speaker SPEAKER_08
transcript.pyannote[358].start 3280.17659375
transcript.pyannote[358].end 3282.30284375
transcript.pyannote[359].speaker SPEAKER_08
transcript.pyannote[359].start 3283.19721875
transcript.pyannote[359].end 3284.02409375
transcript.pyannote[360].speaker SPEAKER_07
transcript.pyannote[360].start 3284.02409375
transcript.pyannote[360].end 3284.56409375
transcript.pyannote[361].speaker SPEAKER_08
transcript.pyannote[361].start 3285.07034375
transcript.pyannote[361].end 3286.04909375
transcript.pyannote[362].speaker SPEAKER_08
transcript.pyannote[362].start 3286.58909375
transcript.pyannote[362].end 3298.55346875
transcript.pyannote[363].speaker SPEAKER_07
transcript.pyannote[363].start 3297.79409375
transcript.pyannote[363].end 3307.02471875
transcript.pyannote[364].speaker SPEAKER_08
transcript.pyannote[364].start 3300.17346875
transcript.pyannote[364].end 3300.64596875
transcript.pyannote[365].speaker SPEAKER_08
transcript.pyannote[365].start 3302.70471875
transcript.pyannote[365].end 3303.73409375
transcript.pyannote[366].speaker SPEAKER_07
transcript.pyannote[366].start 3307.66596875
transcript.pyannote[366].end 3309.03284375
transcript.pyannote[367].speaker SPEAKER_07
transcript.pyannote[367].start 3309.33659375
transcript.pyannote[367].end 3316.74471875
transcript.pyannote[368].speaker SPEAKER_07
transcript.pyannote[368].start 3317.06534375
transcript.pyannote[368].end 3322.09409375
transcript.pyannote[369].speaker SPEAKER_08
transcript.pyannote[369].start 3317.09909375
transcript.pyannote[369].end 3317.60534375
transcript.pyannote[370].speaker SPEAKER_08
transcript.pyannote[370].start 3319.12409375
transcript.pyannote[370].end 3321.33471875
transcript.pyannote[371].speaker SPEAKER_08
transcript.pyannote[371].start 3321.87471875
transcript.pyannote[371].end 3322.21221875
transcript.pyannote[372].speaker SPEAKER_07
transcript.pyannote[372].start 3322.21221875
transcript.pyannote[372].end 3322.29659375
transcript.pyannote[373].speaker SPEAKER_08
transcript.pyannote[373].start 3322.66784375
transcript.pyannote[373].end 3325.41846875
transcript.pyannote[374].speaker SPEAKER_08
transcript.pyannote[374].start 3325.65471875
transcript.pyannote[374].end 3325.68846875
transcript.pyannote[375].speaker SPEAKER_07
transcript.pyannote[375].start 3325.68846875
transcript.pyannote[375].end 3325.72221875
transcript.pyannote[376].speaker SPEAKER_08
transcript.pyannote[376].start 3325.72221875
transcript.pyannote[376].end 3325.84034375
transcript.pyannote[377].speaker SPEAKER_07
transcript.pyannote[377].start 3325.84034375
transcript.pyannote[377].end 3325.94159375
transcript.pyannote[378].speaker SPEAKER_08
transcript.pyannote[378].start 3325.94159375
transcript.pyannote[378].end 3326.26221875
transcript.pyannote[379].speaker SPEAKER_07
transcript.pyannote[379].start 3326.26221875
transcript.pyannote[379].end 3326.92034375
transcript.pyannote[380].speaker SPEAKER_08
transcript.pyannote[380].start 3326.92034375
transcript.pyannote[380].end 3326.97096875
transcript.pyannote[381].speaker SPEAKER_07
transcript.pyannote[381].start 3326.97096875
transcript.pyannote[381].end 3327.19034375
transcript.pyannote[382].speaker SPEAKER_08
transcript.pyannote[382].start 3328.33784375
transcript.pyannote[382].end 3328.35471875
transcript.pyannote[383].speaker SPEAKER_07
transcript.pyannote[383].start 3328.35471875
transcript.pyannote[383].end 3328.87784375
transcript.pyannote[384].speaker SPEAKER_07
transcript.pyannote[384].start 3329.09721875
transcript.pyannote[384].end 3331.93221875
transcript.pyannote[385].speaker SPEAKER_07
transcript.pyannote[385].start 3332.53971875
transcript.pyannote[385].end 3352.04721875
transcript.pyannote[386].speaker SPEAKER_08
transcript.pyannote[386].start 3338.78346875
transcript.pyannote[386].end 3338.80034375
transcript.pyannote[387].speaker SPEAKER_09
transcript.pyannote[387].start 3338.80034375
transcript.pyannote[387].end 3338.83409375
transcript.pyannote[388].speaker SPEAKER_08
transcript.pyannote[388].start 3338.83409375
transcript.pyannote[388].end 3339.03659375
transcript.pyannote[389].speaker SPEAKER_09
transcript.pyannote[389].start 3339.03659375
transcript.pyannote[389].end 3339.40784375
transcript.pyannote[390].speaker SPEAKER_08
transcript.pyannote[390].start 3339.40784375
transcript.pyannote[390].end 3339.44159375
transcript.pyannote[391].speaker SPEAKER_09
transcript.pyannote[391].start 3350.07284375
transcript.pyannote[391].end 3350.66346875
transcript.pyannote[392].speaker SPEAKER_07
transcript.pyannote[392].start 3353.00909375
transcript.pyannote[392].end 3356.48534375
transcript.pyannote[393].speaker SPEAKER_07
transcript.pyannote[393].start 3356.89034375
transcript.pyannote[393].end 3360.04596875
transcript.pyannote[394].speaker SPEAKER_07
transcript.pyannote[394].start 3360.36659375
transcript.pyannote[394].end 3362.67846875
transcript.pyannote[395].speaker SPEAKER_07
transcript.pyannote[395].start 3363.26909375
transcript.pyannote[395].end 3365.20971875
transcript.pyannote[396].speaker SPEAKER_07
transcript.pyannote[396].start 3365.53034375
transcript.pyannote[396].end 3366.05346875
transcript.pyannote[397].speaker SPEAKER_07
transcript.pyannote[397].start 3366.47534375
transcript.pyannote[397].end 3368.04471875
transcript.pyannote[398].speaker SPEAKER_07
transcript.pyannote[398].start 3368.78721875
transcript.pyannote[398].end 3371.38596875
transcript.pyannote[399].speaker SPEAKER_07
transcript.pyannote[399].start 3372.38159375
transcript.pyannote[399].end 3374.96346875
transcript.pyannote[400].speaker SPEAKER_08
transcript.pyannote[400].start 3374.96346875
transcript.pyannote[400].end 3375.70596875
transcript.pyannote[401].speaker SPEAKER_07
transcript.pyannote[401].start 3375.35159375
transcript.pyannote[401].end 3384.37971875
transcript.pyannote[402].speaker SPEAKER_07
transcript.pyannote[402].start 3384.66659375
transcript.pyannote[402].end 3389.34096875
transcript.pyannote[403].speaker SPEAKER_07
transcript.pyannote[403].start 3389.52659375
transcript.pyannote[403].end 3390.28596875
transcript.pyannote[404].speaker SPEAKER_07
transcript.pyannote[404].start 3390.82596875
transcript.pyannote[404].end 3390.97784375
transcript.pyannote[405].speaker SPEAKER_08
transcript.pyannote[405].start 3390.97784375
transcript.pyannote[405].end 3393.23909375
transcript.pyannote[406].speaker SPEAKER_08
transcript.pyannote[406].start 3393.42471875
transcript.pyannote[406].end 3394.35284375
transcript.pyannote[407].speaker SPEAKER_08
transcript.pyannote[407].start 3394.72409375
transcript.pyannote[407].end 3397.54221875
transcript.pyannote[408].speaker SPEAKER_08
transcript.pyannote[408].start 3398.20034375
transcript.pyannote[408].end 3398.21721875
transcript.pyannote[409].speaker SPEAKER_07
transcript.pyannote[409].start 3398.21721875
transcript.pyannote[409].end 3401.30534375
transcript.pyannote[410].speaker SPEAKER_07
transcript.pyannote[410].start 3401.60909375
transcript.pyannote[410].end 3412.20659375
transcript.pyannote[411].speaker SPEAKER_08
transcript.pyannote[411].start 3414.11346875
transcript.pyannote[411].end 3415.56471875
transcript.pyannote[412].speaker SPEAKER_07
transcript.pyannote[412].start 3415.56471875
transcript.pyannote[412].end 3415.59846875
transcript.pyannote[413].speaker SPEAKER_08
transcript.pyannote[413].start 3416.42534375
transcript.pyannote[413].end 3416.88096875
transcript.pyannote[414].speaker SPEAKER_08
transcript.pyannote[414].start 3417.23534375
transcript.pyannote[414].end 3418.02846875
transcript.pyannote[415].speaker SPEAKER_07
transcript.pyannote[415].start 3418.02846875
transcript.pyannote[415].end 3418.90596875
transcript.pyannote[416].speaker SPEAKER_08
transcript.pyannote[416].start 3418.90596875
transcript.pyannote[416].end 3419.09159375
transcript.pyannote[417].speaker SPEAKER_07
transcript.pyannote[417].start 3419.09159375
transcript.pyannote[417].end 3419.96909375
transcript.pyannote[418].speaker SPEAKER_08
transcript.pyannote[418].start 3419.96909375
transcript.pyannote[418].end 3419.98596875
transcript.pyannote[419].speaker SPEAKER_07
transcript.pyannote[419].start 3420.93096875
transcript.pyannote[419].end 3439.78034375
transcript.pyannote[420].speaker SPEAKER_07
transcript.pyannote[420].start 3440.62409375
transcript.pyannote[420].end 3441.97409375
transcript.pyannote[421].speaker SPEAKER_08
transcript.pyannote[421].start 3441.13034375
transcript.pyannote[421].end 3441.34971875
transcript.pyannote[422].speaker SPEAKER_08
transcript.pyannote[422].start 3441.97409375
transcript.pyannote[422].end 3456.04784375
transcript.pyannote[423].speaker SPEAKER_07
transcript.pyannote[423].start 3451.42409375
transcript.pyannote[423].end 3452.65596875
transcript.pyannote[424].speaker SPEAKER_07
transcript.pyannote[424].start 3453.17909375
transcript.pyannote[424].end 3463.50659375
transcript.pyannote[425].speaker SPEAKER_07
transcript.pyannote[425].start 3464.09721875
transcript.pyannote[425].end 3468.78846875
transcript.pyannote[426].speaker SPEAKER_07
transcript.pyannote[426].start 3469.78409375
transcript.pyannote[426].end 3469.96971875
transcript.pyannote[427].speaker SPEAKER_08
transcript.pyannote[427].start 3469.96971875
transcript.pyannote[427].end 3475.96034375
transcript.pyannote[428].speaker SPEAKER_07
transcript.pyannote[428].start 3474.98159375
transcript.pyannote[428].end 3479.55471875
transcript.pyannote[429].speaker SPEAKER_07
transcript.pyannote[429].start 3480.17909375
transcript.pyannote[429].end 3482.06909375
transcript.pyannote[430].speaker SPEAKER_08
transcript.pyannote[430].start 3481.36034375
transcript.pyannote[430].end 3483.16596875
transcript.pyannote[431].speaker SPEAKER_07
transcript.pyannote[431].start 3482.52471875
transcript.pyannote[431].end 3489.32534375
transcript.pyannote[432].speaker SPEAKER_07
transcript.pyannote[432].start 3490.59096875
transcript.pyannote[432].end 3491.50221875
transcript.pyannote[433].speaker SPEAKER_07
transcript.pyannote[433].start 3492.22784375
transcript.pyannote[433].end 3492.68346875
transcript.pyannote[434].speaker SPEAKER_08
transcript.pyannote[434].start 3493.47659375
transcript.pyannote[434].end 3495.02909375
transcript.pyannote[435].speaker SPEAKER_08
transcript.pyannote[435].start 3495.26534375
transcript.pyannote[435].end 3496.12596875
transcript.pyannote[436].speaker SPEAKER_08
transcript.pyannote[436].start 3496.46346875
transcript.pyannote[436].end 3498.91034375
transcript.pyannote[437].speaker SPEAKER_08
transcript.pyannote[437].start 3499.46721875
transcript.pyannote[437].end 3503.80409375
transcript.pyannote[438].speaker SPEAKER_07
transcript.pyannote[438].start 3502.72409375
transcript.pyannote[438].end 3505.17096875
transcript.pyannote[439].speaker SPEAKER_08
transcript.pyannote[439].start 3504.58034375
transcript.pyannote[439].end 3505.20471875
transcript.pyannote[440].speaker SPEAKER_07
transcript.pyannote[440].start 3505.20471875
transcript.pyannote[440].end 3505.87971875
transcript.pyannote[441].speaker SPEAKER_08
transcript.pyannote[441].start 3505.87971875
transcript.pyannote[441].end 3505.96409375
transcript.pyannote[442].speaker SPEAKER_07
transcript.pyannote[442].start 3505.96409375
transcript.pyannote[442].end 3507.46596875
transcript.pyannote[443].speaker SPEAKER_07
transcript.pyannote[443].start 3507.85409375
transcript.pyannote[443].end 3509.11971875
transcript.pyannote[444].speaker SPEAKER_08
transcript.pyannote[444].start 3509.11971875
transcript.pyannote[444].end 3509.38971875
transcript.pyannote[445].speaker SPEAKER_07
transcript.pyannote[445].start 3509.28846875
transcript.pyannote[445].end 3512.69721875
transcript.pyannote[446].speaker SPEAKER_07
transcript.pyannote[446].start 3513.03471875
transcript.pyannote[446].end 3514.18221875
transcript.pyannote[447].speaker SPEAKER_07
transcript.pyannote[447].start 3514.45221875
transcript.pyannote[447].end 3515.44784375
transcript.pyannote[448].speaker SPEAKER_07
transcript.pyannote[448].start 3515.75159375
transcript.pyannote[448].end 3517.69221875
transcript.pyannote[449].speaker SPEAKER_07
transcript.pyannote[449].start 3519.29534375
transcript.pyannote[449].end 3520.99971875
transcript.pyannote[450].speaker SPEAKER_07
transcript.pyannote[450].start 3521.28659375
transcript.pyannote[450].end 3523.07534375
transcript.pyannote[451].speaker SPEAKER_07
transcript.pyannote[451].start 3523.21034375
transcript.pyannote[451].end 3530.48346875
transcript.pyannote[452].speaker SPEAKER_07
transcript.pyannote[452].start 3531.41159375
transcript.pyannote[452].end 3534.33096875
transcript.pyannote[453].speaker SPEAKER_08
transcript.pyannote[453].start 3536.01846875
transcript.pyannote[453].end 3539.05596875
transcript.pyannote[454].speaker SPEAKER_07
transcript.pyannote[454].start 3538.31346875
transcript.pyannote[454].end 3543.34221875
transcript.pyannote[455].speaker SPEAKER_08
transcript.pyannote[455].start 3541.03034375
transcript.pyannote[455].end 3547.81409375
transcript.pyannote[456].speaker SPEAKER_08
transcript.pyannote[456].start 3548.01659375
transcript.pyannote[456].end 3548.03346875
transcript.pyannote[457].speaker SPEAKER_07
transcript.pyannote[457].start 3548.03346875
transcript.pyannote[457].end 3548.18534375
transcript.pyannote[458].speaker SPEAKER_08
transcript.pyannote[458].start 3548.18534375
transcript.pyannote[458].end 3548.40471875
transcript.pyannote[459].speaker SPEAKER_07
transcript.pyannote[459].start 3548.40471875
transcript.pyannote[459].end 3548.43846875
transcript.pyannote[460].speaker SPEAKER_08
transcript.pyannote[460].start 3548.43846875
transcript.pyannote[460].end 3548.45534375
transcript.pyannote[461].speaker SPEAKER_07
transcript.pyannote[461].start 3548.45534375
transcript.pyannote[461].end 3553.68659375
transcript.pyannote[462].speaker SPEAKER_08
transcript.pyannote[462].start 3549.94034375
transcript.pyannote[462].end 3550.51409375
transcript.pyannote[463].speaker SPEAKER_08
transcript.pyannote[463].start 3550.88534375
transcript.pyannote[463].end 3551.96534375
transcript.pyannote[464].speaker SPEAKER_07
transcript.pyannote[464].start 3554.26034375
transcript.pyannote[464].end 3558.22596875
transcript.pyannote[465].speaker SPEAKER_08
transcript.pyannote[465].start 3554.36159375
transcript.pyannote[465].end 3564.03096875
transcript.pyannote[466].speaker SPEAKER_07
transcript.pyannote[466].start 3564.03096875
transcript.pyannote[466].end 3570.76409375
transcript.pyannote[467].speaker SPEAKER_08
transcript.pyannote[467].start 3566.76471875
transcript.pyannote[467].end 3569.12721875
transcript.pyannote[468].speaker SPEAKER_08
transcript.pyannote[468].start 3570.76409375
transcript.pyannote[468].end 3573.39659375
transcript.pyannote[469].speaker SPEAKER_08
transcript.pyannote[469].start 3573.71721875
transcript.pyannote[469].end 3577.00784375
transcript.pyannote[470].speaker SPEAKER_08
transcript.pyannote[470].start 3577.53096875
transcript.pyannote[470].end 3579.31971875
transcript.pyannote[471].speaker SPEAKER_07
transcript.pyannote[471].start 3578.37471875
transcript.pyannote[471].end 3581.39534375
transcript.pyannote[472].speaker SPEAKER_08
transcript.pyannote[472].start 3580.77096875
transcript.pyannote[472].end 3581.51346875
transcript.pyannote[473].speaker SPEAKER_07
transcript.pyannote[473].start 3581.51346875
transcript.pyannote[473].end 3581.69909375
transcript.pyannote[474].speaker SPEAKER_08
transcript.pyannote[474].start 3581.73284375
transcript.pyannote[474].end 3587.18346875
transcript.pyannote[475].speaker SPEAKER_07
transcript.pyannote[475].start 3582.08721875
transcript.pyannote[475].end 3585.96846875
transcript.pyannote[476].speaker SPEAKER_07
transcript.pyannote[476].start 3586.05284375
transcript.pyannote[476].end 3587.13284375
transcript.pyannote[477].speaker SPEAKER_08
transcript.pyannote[477].start 3587.50409375
transcript.pyannote[477].end 3590.40659375
transcript.pyannote[478].speaker SPEAKER_07
transcript.pyannote[478].start 3589.02284375
transcript.pyannote[478].end 3590.00159375
transcript.pyannote[479].speaker SPEAKER_07
transcript.pyannote[479].start 3590.40659375
transcript.pyannote[479].end 3590.54159375
transcript.pyannote[480].speaker SPEAKER_08
transcript.pyannote[480].start 3590.54159375
transcript.pyannote[480].end 3590.60909375
transcript.pyannote[481].speaker SPEAKER_07
transcript.pyannote[481].start 3590.60909375
transcript.pyannote[481].end 3590.81159375
transcript.pyannote[482].speaker SPEAKER_08
transcript.pyannote[482].start 3590.81159375
transcript.pyannote[482].end 3590.86221875
transcript.pyannote[483].speaker SPEAKER_08
transcript.pyannote[483].start 3591.52034375
transcript.pyannote[483].end 3595.77284375
transcript.pyannote[484].speaker SPEAKER_07
transcript.pyannote[484].start 3596.59971875
transcript.pyannote[484].end 3602.57346875
transcript.pyannote[485].speaker SPEAKER_08
transcript.pyannote[485].start 3602.77596875
transcript.pyannote[485].end 3603.16409375
transcript.pyannote[486].speaker SPEAKER_07
transcript.pyannote[486].start 3603.34971875
transcript.pyannote[486].end 3606.30284375
transcript.pyannote[487].speaker SPEAKER_08
transcript.pyannote[487].start 3605.81346875
transcript.pyannote[487].end 3606.21846875
transcript.pyannote[488].speaker SPEAKER_08
transcript.pyannote[488].start 3606.30284375
transcript.pyannote[488].end 3608.47971875
transcript.pyannote[489].speaker SPEAKER_07
transcript.pyannote[489].start 3607.46721875
transcript.pyannote[489].end 3608.34471875
transcript.pyannote[490].speaker SPEAKER_08
transcript.pyannote[490].start 3608.68221875
transcript.pyannote[490].end 3612.05721875
transcript.pyannote[491].speaker SPEAKER_07
transcript.pyannote[491].start 3609.66096875
transcript.pyannote[491].end 3610.42034375
transcript.pyannote[492].speaker SPEAKER_07
transcript.pyannote[492].start 3612.05721875
transcript.pyannote[492].end 3641.65596875
transcript.pyannote[493].speaker SPEAKER_08
transcript.pyannote[493].start 3642.17909375
transcript.pyannote[493].end 3642.41534375
transcript.pyannote[494].speaker SPEAKER_08
transcript.pyannote[494].start 3643.15784375
transcript.pyannote[494].end 3647.12346875
transcript.pyannote[495].speaker SPEAKER_08
transcript.pyannote[495].start 3647.41034375
transcript.pyannote[495].end 3652.81034375
transcript.pyannote[496].speaker SPEAKER_07
transcript.pyannote[496].start 3649.45221875
transcript.pyannote[496].end 3650.85284375
transcript.pyannote[497].speaker SPEAKER_08
transcript.pyannote[497].start 3652.87784375
transcript.pyannote[497].end 3663.03659375
transcript.pyannote[498].speaker SPEAKER_07
transcript.pyannote[498].start 3652.99596875
transcript.pyannote[498].end 3656.87721875
transcript.pyannote[499].speaker SPEAKER_07
transcript.pyannote[499].start 3663.03659375
transcript.pyannote[499].end 3664.65659375
transcript.pyannote[500].speaker SPEAKER_07
transcript.pyannote[500].start 3665.46659375
transcript.pyannote[500].end 3668.72346875
transcript.pyannote[501].speaker SPEAKER_08
transcript.pyannote[501].start 3669.36471875
transcript.pyannote[501].end 3682.42596875
transcript.pyannote[502].speaker SPEAKER_07
transcript.pyannote[502].start 3677.66721875
transcript.pyannote[502].end 3678.83159375
transcript.pyannote[503].speaker SPEAKER_07
transcript.pyannote[503].start 3680.06346875
transcript.pyannote[503].end 3692.38221875
transcript.pyannote[504].speaker SPEAKER_07
transcript.pyannote[504].start 3693.02346875
transcript.pyannote[504].end 3695.75721875
transcript.pyannote[505].speaker SPEAKER_08
transcript.pyannote[505].start 3697.30971875
transcript.pyannote[505].end 3698.22096875
transcript.pyannote[506].speaker SPEAKER_08
transcript.pyannote[506].start 3698.92971875
transcript.pyannote[506].end 3702.25409375
transcript.pyannote[507].speaker SPEAKER_07
transcript.pyannote[507].start 3702.25409375
transcript.pyannote[507].end 3712.34534375
transcript.pyannote[508].speaker SPEAKER_08
transcript.pyannote[508].start 3702.27096875
transcript.pyannote[508].end 3702.45659375
transcript.pyannote[509].speaker SPEAKER_09
transcript.pyannote[509].start 3712.69971875
transcript.pyannote[509].end 3715.50096875
transcript.pyannote[510].speaker SPEAKER_07
transcript.pyannote[510].start 3712.81784375
transcript.pyannote[510].end 3729.32159375
transcript.pyannote[511].speaker SPEAKER_08
transcript.pyannote[511].start 3729.87846875
transcript.pyannote[511].end 3730.14846875
transcript.pyannote[512].speaker SPEAKER_08
transcript.pyannote[512].start 3730.28346875
transcript.pyannote[512].end 3730.31721875
transcript.pyannote[513].speaker SPEAKER_07
transcript.pyannote[513].start 3730.31721875
transcript.pyannote[513].end 3730.33409375
transcript.pyannote[514].speaker SPEAKER_08
transcript.pyannote[514].start 3730.33409375
transcript.pyannote[514].end 3730.36784375
transcript.pyannote[515].speaker SPEAKER_07
transcript.pyannote[515].start 3730.36784375
transcript.pyannote[515].end 3738.28221875
transcript.pyannote[516].speaker SPEAKER_08
transcript.pyannote[516].start 3730.45221875
transcript.pyannote[516].end 3734.55284375
transcript.pyannote[517].speaker SPEAKER_07
transcript.pyannote[517].start 3739.26096875
transcript.pyannote[517].end 3740.72909375
transcript.pyannote[518].speaker SPEAKER_09
transcript.pyannote[518].start 3757.19909375
transcript.pyannote[518].end 3758.41409375
transcript.pyannote[519].speaker SPEAKER_09
transcript.pyannote[519].start 3760.01721875
transcript.pyannote[519].end 3760.65846875
transcript.pyannote[520].speaker SPEAKER_02
transcript.pyannote[520].start 3761.29971875
transcript.pyannote[520].end 3762.61596875
transcript.pyannote[521].speaker SPEAKER_02
transcript.pyannote[521].start 3762.68346875
transcript.pyannote[521].end 3762.95346875
transcript.pyannote[522].speaker SPEAKER_02
transcript.pyannote[522].start 3764.65784375
transcript.pyannote[522].end 3765.60284375
transcript.pyannote[523].speaker SPEAKER_02
transcript.pyannote[523].start 3771.34034375
transcript.pyannote[523].end 3774.81659375
transcript.pyannote[524].speaker SPEAKER_02
transcript.pyannote[524].start 3775.91346875
transcript.pyannote[524].end 3777.33096875
transcript.pyannote[525].speaker SPEAKER_02
transcript.pyannote[525].start 3779.94659375
transcript.pyannote[525].end 3781.27971875
transcript.pyannote[526].speaker SPEAKER_02
transcript.pyannote[526].start 3781.66784375
transcript.pyannote[526].end 3783.01784375
transcript.pyannote[527].speaker SPEAKER_02
transcript.pyannote[527].start 3783.99659375
transcript.pyannote[527].end 3785.26221875
transcript.pyannote[528].speaker SPEAKER_02
transcript.pyannote[528].start 3786.10596875
transcript.pyannote[528].end 3787.59096875
transcript.pyannote[529].speaker SPEAKER_02
transcript.pyannote[529].start 3792.16409375
transcript.pyannote[529].end 3796.95659375
transcript.pyannote[530].speaker SPEAKER_01
transcript.pyannote[530].start 3806.74409375
transcript.pyannote[530].end 3807.63846875
transcript.pyannote[531].speaker SPEAKER_01
transcript.pyannote[531].start 3807.82409375
transcript.pyannote[531].end 3808.93784375
transcript.pyannote[532].speaker SPEAKER_02
transcript.pyannote[532].start 3809.44409375
transcript.pyannote[532].end 3811.50284375
transcript.pyannote[533].speaker SPEAKER_08
transcript.pyannote[533].start 3818.67471875
transcript.pyannote[533].end 3819.48471875
transcript.pyannote[534].speaker SPEAKER_01
transcript.pyannote[534].start 3820.44659375
transcript.pyannote[534].end 3829.57596875
transcript.pyannote[535].speaker SPEAKER_08
transcript.pyannote[535].start 3829.57596875
transcript.pyannote[535].end 3829.76159375
transcript.pyannote[536].speaker SPEAKER_09
transcript.pyannote[536].start 3829.76159375
transcript.pyannote[536].end 3829.87971875
transcript.pyannote[537].speaker SPEAKER_08
transcript.pyannote[537].start 3829.87971875
transcript.pyannote[537].end 3829.98096875
transcript.pyannote[538].speaker SPEAKER_09
transcript.pyannote[538].start 3829.98096875
transcript.pyannote[538].end 3829.99784375
transcript.pyannote[539].speaker SPEAKER_08
transcript.pyannote[539].start 3829.99784375
transcript.pyannote[539].end 3830.01471875
transcript.pyannote[540].speaker SPEAKER_01
transcript.pyannote[540].start 3830.01471875
transcript.pyannote[540].end 3832.17471875
transcript.pyannote[541].speaker SPEAKER_01
transcript.pyannote[541].start 3832.29284375
transcript.pyannote[541].end 3837.64221875
transcript.pyannote[542].speaker SPEAKER_08
transcript.pyannote[542].start 3837.76034375
transcript.pyannote[542].end 3838.28346875
transcript.pyannote[543].speaker SPEAKER_01
transcript.pyannote[543].start 3838.35096875
transcript.pyannote[543].end 3849.25221875
transcript.pyannote[544].speaker SPEAKER_01
transcript.pyannote[544].start 3849.45471875
transcript.pyannote[544].end 3850.23096875
transcript.pyannote[545].speaker SPEAKER_08
transcript.pyannote[545].start 3850.23096875
transcript.pyannote[545].end 3850.60221875
transcript.pyannote[546].speaker SPEAKER_01
transcript.pyannote[546].start 3850.78784375
transcript.pyannote[546].end 3851.04096875
transcript.pyannote[547].speaker SPEAKER_01
transcript.pyannote[547].start 3851.31096875
transcript.pyannote[547].end 3862.48221875
transcript.pyannote[548].speaker SPEAKER_01
transcript.pyannote[548].start 3862.95471875
transcript.pyannote[548].end 3863.79846875
transcript.pyannote[549].speaker SPEAKER_08
transcript.pyannote[549].start 3864.47346875
transcript.pyannote[549].end 3868.16909375
transcript.pyannote[550].speaker SPEAKER_01
transcript.pyannote[550].start 3867.20721875
transcript.pyannote[550].end 3868.05096875
transcript.pyannote[551].speaker SPEAKER_01
transcript.pyannote[551].start 3868.54034375
transcript.pyannote[551].end 3874.53096875
transcript.pyannote[552].speaker SPEAKER_01
transcript.pyannote[552].start 3874.66596875
transcript.pyannote[552].end 3882.04034375
transcript.pyannote[553].speaker SPEAKER_01
transcript.pyannote[553].start 3882.39471875
transcript.pyannote[553].end 3884.28471875
transcript.pyannote[554].speaker SPEAKER_01
transcript.pyannote[554].start 3884.40284375
transcript.pyannote[554].end 3902.76284375
transcript.pyannote[555].speaker SPEAKER_01
transcript.pyannote[555].start 3903.28596875
transcript.pyannote[555].end 3908.87159375
transcript.pyannote[556].speaker SPEAKER_01
transcript.pyannote[556].start 3909.46221875
transcript.pyannote[556].end 3913.19159375
transcript.pyannote[557].speaker SPEAKER_01
transcript.pyannote[557].start 3913.57971875
transcript.pyannote[557].end 3918.18659375
transcript.pyannote[558].speaker SPEAKER_01
transcript.pyannote[558].start 3918.49034375
transcript.pyannote[558].end 3920.19471875
transcript.pyannote[559].speaker SPEAKER_01
transcript.pyannote[559].start 3920.59971875
transcript.pyannote[559].end 3923.29971875
transcript.pyannote[560].speaker SPEAKER_01
transcript.pyannote[560].start 3923.72159375
transcript.pyannote[560].end 3931.80471875
transcript.pyannote[561].speaker SPEAKER_08
transcript.pyannote[561].start 3932.68221875
transcript.pyannote[561].end 3935.38221875
transcript.pyannote[562].speaker SPEAKER_08
transcript.pyannote[562].start 3935.51721875
transcript.pyannote[562].end 3936.47909375
transcript.pyannote[563].speaker SPEAKER_08
transcript.pyannote[563].start 3937.40721875
transcript.pyannote[563].end 3945.23721875
transcript.pyannote[564].speaker SPEAKER_01
transcript.pyannote[564].start 3945.89534375
transcript.pyannote[564].end 3946.45221875
transcript.pyannote[565].speaker SPEAKER_08
transcript.pyannote[565].start 3946.18221875
transcript.pyannote[565].end 3947.48159375
transcript.pyannote[566].speaker SPEAKER_01
transcript.pyannote[566].start 3947.63346875
transcript.pyannote[566].end 3947.86971875
transcript.pyannote[567].speaker SPEAKER_08
transcript.pyannote[567].start 3947.70096875
transcript.pyannote[567].end 3948.51096875
transcript.pyannote[568].speaker SPEAKER_01
transcript.pyannote[568].start 3948.51096875
transcript.pyannote[568].end 3949.59096875
transcript.pyannote[569].speaker SPEAKER_01
transcript.pyannote[569].start 3949.89471875
transcript.pyannote[569].end 3954.09659375
transcript.pyannote[570].speaker SPEAKER_01
transcript.pyannote[570].start 3954.43409375
transcript.pyannote[570].end 3956.42534375
transcript.pyannote[571].speaker SPEAKER_01
transcript.pyannote[571].start 3956.86409375
transcript.pyannote[571].end 3967.93409375
transcript.pyannote[572].speaker SPEAKER_01
transcript.pyannote[572].start 3968.54159375
transcript.pyannote[572].end 3977.70471875
transcript.pyannote[573].speaker SPEAKER_01
transcript.pyannote[573].start 3978.26159375
transcript.pyannote[573].end 3992.25096875
transcript.pyannote[574].speaker SPEAKER_01
transcript.pyannote[574].start 3992.52096875
transcript.pyannote[574].end 3995.57534375
transcript.pyannote[575].speaker SPEAKER_01
transcript.pyannote[575].start 3996.16596875
transcript.pyannote[575].end 3999.86159375
transcript.pyannote[576].speaker SPEAKER_08
transcript.pyannote[576].start 4000.11471875
transcript.pyannote[576].end 4001.46471875
transcript.pyannote[577].speaker SPEAKER_08
transcript.pyannote[577].start 4001.54909375
transcript.pyannote[577].end 4005.19409375
transcript.pyannote[578].speaker SPEAKER_01
transcript.pyannote[578].start 4004.31659375
transcript.pyannote[578].end 4005.09284375
transcript.pyannote[579].speaker SPEAKER_01
transcript.pyannote[579].start 4005.19409375
transcript.pyannote[579].end 4005.22784375
transcript.pyannote[580].speaker SPEAKER_08
transcript.pyannote[580].start 4005.22784375
transcript.pyannote[580].end 4005.39659375
transcript.pyannote[581].speaker SPEAKER_01
transcript.pyannote[581].start 4005.39659375
transcript.pyannote[581].end 4005.51471875
transcript.pyannote[582].speaker SPEAKER_08
transcript.pyannote[582].start 4005.51471875
transcript.pyannote[582].end 4005.54846875
transcript.pyannote[583].speaker SPEAKER_01
transcript.pyannote[583].start 4005.54846875
transcript.pyannote[583].end 4005.78471875
transcript.pyannote[584].speaker SPEAKER_08
transcript.pyannote[584].start 4005.78471875
transcript.pyannote[584].end 4005.88596875
transcript.pyannote[585].speaker SPEAKER_08
transcript.pyannote[585].start 4006.20659375
transcript.pyannote[585].end 4006.45971875
transcript.pyannote[586].speaker SPEAKER_08
transcript.pyannote[586].start 4006.64534375
transcript.pyannote[586].end 4014.03659375
transcript.pyannote[587].speaker SPEAKER_01
transcript.pyannote[587].start 4010.99909375
transcript.pyannote[587].end 4013.49659375
transcript.pyannote[588].speaker SPEAKER_08
transcript.pyannote[588].start 4014.30659375
transcript.pyannote[588].end 4016.85471875
transcript.pyannote[589].speaker SPEAKER_01
transcript.pyannote[589].start 4016.24721875
transcript.pyannote[589].end 4018.79534375
transcript.pyannote[590].speaker SPEAKER_08
transcript.pyannote[590].start 4017.58034375
transcript.pyannote[590].end 4023.63846875
transcript.pyannote[591].speaker SPEAKER_01
transcript.pyannote[591].start 4022.30534375
transcript.pyannote[591].end 4023.35159375
transcript.pyannote[592].speaker SPEAKER_01
transcript.pyannote[592].start 4024.53284375
transcript.pyannote[592].end 4024.76909375
transcript.pyannote[593].speaker SPEAKER_01
transcript.pyannote[593].start 4025.37659375
transcript.pyannote[593].end 4037.52659375
transcript.pyannote[594].speaker SPEAKER_01
transcript.pyannote[594].start 4037.88096875
transcript.pyannote[594].end 4042.89284375
transcript.pyannote[595].speaker SPEAKER_01
transcript.pyannote[595].start 4043.36534375
transcript.pyannote[595].end 4053.84471875
transcript.pyannote[596].speaker SPEAKER_01
transcript.pyannote[596].start 4054.06409375
transcript.pyannote[596].end 4057.10159375
transcript.pyannote[597].speaker SPEAKER_08
transcript.pyannote[597].start 4057.52346875
transcript.pyannote[597].end 4060.56096875
transcript.pyannote[598].speaker SPEAKER_01
transcript.pyannote[598].start 4060.56096875
transcript.pyannote[598].end 4063.86846875
transcript.pyannote[599].speaker SPEAKER_08
transcript.pyannote[599].start 4061.86034375
transcript.pyannote[599].end 4075.74846875
transcript.pyannote[600].speaker SPEAKER_01
transcript.pyannote[600].start 4073.89221875
transcript.pyannote[600].end 4074.44909375
transcript.pyannote[601].speaker SPEAKER_01
transcript.pyannote[601].start 4075.81596875
transcript.pyannote[601].end 4092.38721875
transcript.pyannote[602].speaker SPEAKER_01
transcript.pyannote[602].start 4092.96096875
transcript.pyannote[602].end 4101.19596875
transcript.pyannote[603].speaker SPEAKER_01
transcript.pyannote[603].start 4101.53346875
transcript.pyannote[603].end 4103.18721875
transcript.pyannote[604].speaker SPEAKER_01
transcript.pyannote[604].start 4103.25471875
transcript.pyannote[604].end 4118.05409375
transcript.pyannote[605].speaker SPEAKER_01
transcript.pyannote[605].start 4118.47596875
transcript.pyannote[605].end 4118.76284375
transcript.pyannote[606].speaker SPEAKER_01
transcript.pyannote[606].start 4118.94846875
transcript.pyannote[606].end 4121.86784375
transcript.pyannote[607].speaker SPEAKER_01
transcript.pyannote[607].start 4122.25596875
transcript.pyannote[607].end 4122.69471875
transcript.pyannote[608].speaker SPEAKER_01
transcript.pyannote[608].start 4123.82534375
transcript.pyannote[608].end 4127.11596875
transcript.pyannote[609].speaker SPEAKER_01
transcript.pyannote[609].start 4128.21284375
transcript.pyannote[609].end 4129.59659375
transcript.pyannote[610].speaker SPEAKER_01
transcript.pyannote[610].start 4130.08596875
transcript.pyannote[610].end 4142.01659375
transcript.pyannote[611].speaker SPEAKER_01
transcript.pyannote[611].start 4142.30346875
transcript.pyannote[611].end 4146.48846875
transcript.pyannote[612].speaker SPEAKER_01
transcript.pyannote[612].start 4146.62346875
transcript.pyannote[612].end 4157.33909375
transcript.pyannote[613].speaker SPEAKER_01
transcript.pyannote[613].start 4157.49096875
transcript.pyannote[613].end 4158.43596875
transcript.pyannote[614].speaker SPEAKER_01
transcript.pyannote[614].start 4158.82409375
transcript.pyannote[614].end 4165.81034375
transcript.pyannote[615].speaker SPEAKER_01
transcript.pyannote[615].start 4165.91159375
transcript.pyannote[615].end 4171.63221875
transcript.pyannote[616].speaker SPEAKER_01
transcript.pyannote[616].start 4172.10471875
transcript.pyannote[616].end 4177.90971875
transcript.pyannote[617].speaker SPEAKER_01
transcript.pyannote[617].start 4178.36534375
transcript.pyannote[617].end 4179.88409375
transcript.pyannote[618].speaker SPEAKER_01
transcript.pyannote[618].start 4180.94721875
transcript.pyannote[618].end 4186.19534375
transcript.pyannote[619].speaker SPEAKER_01
transcript.pyannote[619].start 4186.54971875
transcript.pyannote[619].end 4190.88659375
transcript.pyannote[620].speaker SPEAKER_01
transcript.pyannote[620].start 4191.54471875
transcript.pyannote[620].end 4197.36659375
transcript.pyannote[621].speaker SPEAKER_01
transcript.pyannote[621].start 4197.77159375
transcript.pyannote[621].end 4199.07096875
transcript.pyannote[622].speaker SPEAKER_01
transcript.pyannote[622].start 4200.01596875
transcript.pyannote[622].end 4208.53784375
transcript.pyannote[623].speaker SPEAKER_01
transcript.pyannote[623].start 4208.70659375
transcript.pyannote[623].end 4222.15596875
transcript.pyannote[624].speaker SPEAKER_08
transcript.pyannote[624].start 4222.86471875
transcript.pyannote[624].end 4227.99471875
transcript.pyannote[625].speaker SPEAKER_01
transcript.pyannote[625].start 4225.71659375
transcript.pyannote[625].end 4225.96971875
transcript.pyannote[626].speaker SPEAKER_08
transcript.pyannote[626].start 4228.28159375
transcript.pyannote[626].end 4229.17596875
transcript.pyannote[627].speaker SPEAKER_08
transcript.pyannote[627].start 4229.31096875
transcript.pyannote[627].end 4232.12909375
transcript.pyannote[628].speaker SPEAKER_08
transcript.pyannote[628].start 4232.17971875
transcript.pyannote[628].end 4237.10721875
transcript.pyannote[629].speaker SPEAKER_01
transcript.pyannote[629].start 4232.23034375
transcript.pyannote[629].end 4232.95596875
transcript.pyannote[630].speaker SPEAKER_01
transcript.pyannote[630].start 4236.39846875
transcript.pyannote[630].end 4241.08971875
transcript.pyannote[631].speaker SPEAKER_08
transcript.pyannote[631].start 4240.41471875
transcript.pyannote[631].end 4244.07659375
transcript.pyannote[632].speaker SPEAKER_08
transcript.pyannote[632].start 4244.73471875
transcript.pyannote[632].end 4245.19034375
transcript.pyannote[633].speaker SPEAKER_01
transcript.pyannote[633].start 4245.73034375
transcript.pyannote[633].end 4285.74096875
transcript.pyannote[634].speaker SPEAKER_01
transcript.pyannote[634].start 4286.12909375
transcript.pyannote[634].end 4289.31846875
transcript.pyannote[635].speaker SPEAKER_01
transcript.pyannote[635].start 4289.50409375
transcript.pyannote[635].end 4294.56659375
transcript.pyannote[636].speaker SPEAKER_01
transcript.pyannote[636].start 4295.03909375
transcript.pyannote[636].end 4295.05596875
transcript.pyannote[637].speaker SPEAKER_01
transcript.pyannote[637].start 4295.08971875
transcript.pyannote[637].end 4295.15721875
transcript.pyannote[638].speaker SPEAKER_01
transcript.pyannote[638].start 4295.17409375
transcript.pyannote[638].end 4300.25346875
transcript.pyannote[639].speaker SPEAKER_01
transcript.pyannote[639].start 4300.47284375
transcript.pyannote[639].end 4304.23596875
transcript.pyannote[640].speaker SPEAKER_01
transcript.pyannote[640].start 4304.75909375
transcript.pyannote[640].end 4306.75034375
transcript.pyannote[641].speaker SPEAKER_01
transcript.pyannote[641].start 4308.25221875
transcript.pyannote[641].end 4309.51784375
transcript.pyannote[642].speaker SPEAKER_01
transcript.pyannote[642].start 4310.09159375
transcript.pyannote[642].end 4314.76596875
transcript.pyannote[643].speaker SPEAKER_01
transcript.pyannote[643].start 4315.27221875
transcript.pyannote[643].end 4317.29721875
transcript.pyannote[644].speaker SPEAKER_01
transcript.pyannote[644].start 4318.34346875
transcript.pyannote[644].end 4327.75971875
transcript.pyannote[645].speaker SPEAKER_01
transcript.pyannote[645].start 4328.58659375
transcript.pyannote[645].end 4337.37846875
transcript.pyannote[646].speaker SPEAKER_01
transcript.pyannote[646].start 4338.39096875
transcript.pyannote[646].end 4339.97721875
transcript.pyannote[647].speaker SPEAKER_01
transcript.pyannote[647].start 4340.55096875
transcript.pyannote[647].end 4342.66034375
transcript.pyannote[648].speaker SPEAKER_01
transcript.pyannote[648].start 4343.06534375
transcript.pyannote[648].end 4345.36034375
transcript.pyannote[649].speaker SPEAKER_01
transcript.pyannote[649].start 4345.86659375
transcript.pyannote[649].end 4350.27096875
transcript.pyannote[650].speaker SPEAKER_01
transcript.pyannote[650].start 4351.18221875
transcript.pyannote[650].end 4353.54471875
transcript.pyannote[651].speaker SPEAKER_01
transcript.pyannote[651].start 4354.13534375
transcript.pyannote[651].end 4360.27784375
transcript.pyannote[652].speaker SPEAKER_01
transcript.pyannote[652].start 4360.90221875
transcript.pyannote[652].end 4369.18784375
transcript.pyannote[653].speaker SPEAKER_01
transcript.pyannote[653].start 4370.06534375
transcript.pyannote[653].end 4370.72346875
transcript.pyannote[654].speaker SPEAKER_01
transcript.pyannote[654].start 4371.31409375
transcript.pyannote[654].end 4374.19971875
transcript.pyannote[655].speaker SPEAKER_01
transcript.pyannote[655].start 4374.63846875
transcript.pyannote[655].end 4377.43971875
transcript.pyannote[656].speaker SPEAKER_01
transcript.pyannote[656].start 4378.06409375
transcript.pyannote[656].end 4379.05971875
transcript.pyannote[657].speaker SPEAKER_01
transcript.pyannote[657].start 4379.51534375
transcript.pyannote[657].end 4381.40534375
transcript.pyannote[658].speaker SPEAKER_08
transcript.pyannote[658].start 4381.99596875
transcript.pyannote[658].end 4382.41784375
transcript.pyannote[659].speaker SPEAKER_08
transcript.pyannote[659].start 4382.85659375
transcript.pyannote[659].end 4395.00659375
transcript.pyannote[660].speaker SPEAKER_01
transcript.pyannote[660].start 4384.62846875
transcript.pyannote[660].end 4385.52284375
transcript.pyannote[661].speaker SPEAKER_00
transcript.pyannote[661].start 4385.52284375
transcript.pyannote[661].end 4385.53971875
transcript.pyannote[662].speaker SPEAKER_01
transcript.pyannote[662].start 4386.07971875
transcript.pyannote[662].end 4386.70409375
transcript.pyannote[663].speaker SPEAKER_01
transcript.pyannote[663].start 4392.07034375
transcript.pyannote[663].end 4392.13784375
transcript.pyannote[664].speaker SPEAKER_09
transcript.pyannote[664].start 4392.13784375
transcript.pyannote[664].end 4393.06596875
transcript.pyannote[665].speaker SPEAKER_09
transcript.pyannote[665].start 4395.00659375
transcript.pyannote[665].end 4395.32721875
transcript.pyannote[666].speaker SPEAKER_08
transcript.pyannote[666].start 4395.32721875
transcript.pyannote[666].end 4395.34409375
transcript.pyannote[667].speaker SPEAKER_09
transcript.pyannote[667].start 4395.34409375
transcript.pyannote[667].end 4395.36096875
transcript.pyannote[668].speaker SPEAKER_08
transcript.pyannote[668].start 4395.36096875
transcript.pyannote[668].end 4395.41159375
transcript.pyannote[669].speaker SPEAKER_08
transcript.pyannote[669].start 4395.59721875
transcript.pyannote[669].end 4396.33971875
transcript.pyannote[670].speaker SPEAKER_08
transcript.pyannote[670].start 4396.44096875
transcript.pyannote[670].end 4404.20346875
transcript.pyannote[671].speaker SPEAKER_01
transcript.pyannote[671].start 4403.49471875
transcript.pyannote[671].end 4407.46034375
transcript.pyannote[672].speaker SPEAKER_08
transcript.pyannote[672].start 4405.08096875
transcript.pyannote[672].end 4405.82346875
transcript.pyannote[673].speaker SPEAKER_01
transcript.pyannote[673].start 4407.88221875
transcript.pyannote[673].end 4409.01284375
transcript.pyannote[674].speaker SPEAKER_08
transcript.pyannote[674].start 4407.98346875
transcript.pyannote[674].end 4420.97721875
transcript.pyannote[675].speaker SPEAKER_01
transcript.pyannote[675].start 4412.86034375
transcript.pyannote[675].end 4415.47596875
transcript.pyannote[676].speaker SPEAKER_01
transcript.pyannote[676].start 4420.97721875
transcript.pyannote[676].end 4421.16284375
transcript.pyannote[677].speaker SPEAKER_08
transcript.pyannote[677].start 4421.02784375
transcript.pyannote[677].end 4421.09534375
transcript.pyannote[678].speaker SPEAKER_08
transcript.pyannote[678].start 4421.16284375
transcript.pyannote[678].end 4421.17971875
transcript.pyannote[679].speaker SPEAKER_01
transcript.pyannote[679].start 4421.17971875
transcript.pyannote[679].end 4429.34721875
transcript.pyannote[680].speaker SPEAKER_08
transcript.pyannote[680].start 4425.93846875
transcript.pyannote[680].end 4428.13221875
transcript.pyannote[681].speaker SPEAKER_08
transcript.pyannote[681].start 4429.87034375
transcript.pyannote[681].end 4432.09784375
transcript.pyannote[682].speaker SPEAKER_01
transcript.pyannote[682].start 4433.49846875
transcript.pyannote[682].end 4453.12409375
transcript.pyannote[683].speaker SPEAKER_01
transcript.pyannote[683].start 4453.88346875
transcript.pyannote[683].end 4460.98784375
transcript.pyannote[684].speaker SPEAKER_01
transcript.pyannote[684].start 4461.15659375
transcript.pyannote[684].end 4465.84784375
transcript.pyannote[685].speaker SPEAKER_01
transcript.pyannote[685].start 4466.53971875
transcript.pyannote[685].end 4481.72721875
transcript.pyannote[686].speaker SPEAKER_08
transcript.pyannote[686].start 4482.19971875
transcript.pyannote[686].end 4486.55346875
transcript.pyannote[687].speaker SPEAKER_01
transcript.pyannote[687].start 4482.40221875
transcript.pyannote[687].end 4482.82409375
transcript.pyannote[688].speaker SPEAKER_08
transcript.pyannote[688].start 4486.85721875
transcript.pyannote[688].end 4487.27909375
transcript.pyannote[689].speaker SPEAKER_01
transcript.pyannote[689].start 4488.02159375
transcript.pyannote[689].end 4492.91534375
transcript.pyannote[690].speaker SPEAKER_08
transcript.pyannote[690].start 4492.07159375
transcript.pyannote[690].end 4492.25721875
transcript.pyannote[691].speaker SPEAKER_08
transcript.pyannote[691].start 4493.11784375
transcript.pyannote[691].end 4497.85971875
transcript.pyannote[692].speaker SPEAKER_01
transcript.pyannote[692].start 4496.61096875
transcript.pyannote[692].end 4504.59284375
transcript.pyannote[693].speaker SPEAKER_08
transcript.pyannote[693].start 4498.50096875
transcript.pyannote[693].end 4498.90596875
transcript.pyannote[694].speaker SPEAKER_01
transcript.pyannote[694].start 4504.86284375
transcript.pyannote[694].end 4507.00596875
transcript.pyannote[695].speaker SPEAKER_08
transcript.pyannote[695].start 4504.99784375
transcript.pyannote[695].end 4509.16596875
transcript.pyannote[696].speaker SPEAKER_01
transcript.pyannote[696].start 4508.47409375
transcript.pyannote[696].end 4510.19534375
transcript.pyannote[697].speaker SPEAKER_08
transcript.pyannote[697].start 4510.27971875
transcript.pyannote[697].end 4510.63409375
transcript.pyannote[698].speaker SPEAKER_01
transcript.pyannote[698].start 4510.63409375
transcript.pyannote[698].end 4514.02596875
transcript.pyannote[699].speaker SPEAKER_08
transcript.pyannote[699].start 4513.43534375
transcript.pyannote[699].end 4516.47284375
transcript.pyannote[700].speaker SPEAKER_01
transcript.pyannote[700].start 4516.52346875
transcript.pyannote[700].end 4517.50221875
transcript.pyannote[701].speaker SPEAKER_08
transcript.pyannote[701].start 4517.62034375
transcript.pyannote[701].end 4519.91534375
transcript.pyannote[702].speaker SPEAKER_01
transcript.pyannote[702].start 4517.95784375
transcript.pyannote[702].end 4521.06284375
transcript.pyannote[703].speaker SPEAKER_01
transcript.pyannote[703].start 4521.24846875
transcript.pyannote[703].end 4521.58596875
transcript.pyannote[704].speaker SPEAKER_01
transcript.pyannote[704].start 4521.97409375
transcript.pyannote[704].end 4523.37471875
transcript.pyannote[705].speaker SPEAKER_01
transcript.pyannote[705].start 4523.96534375
transcript.pyannote[705].end 4526.39534375
transcript.pyannote[706].speaker SPEAKER_08
transcript.pyannote[706].start 4525.93971875
transcript.pyannote[706].end 4527.54284375
transcript.pyannote[707].speaker SPEAKER_01
transcript.pyannote[707].start 4527.94784375
transcript.pyannote[707].end 4532.60534375
transcript.pyannote[708].speaker SPEAKER_08
transcript.pyannote[708].start 4530.24284375
transcript.pyannote[708].end 4546.78034375
transcript.pyannote[709].speaker SPEAKER_01
transcript.pyannote[709].start 4544.53596875
transcript.pyannote[709].end 4545.75096875
transcript.pyannote[710].speaker SPEAKER_01
transcript.pyannote[710].start 4545.90284375
transcript.pyannote[710].end 4550.25659375
transcript.pyannote[711].speaker SPEAKER_08
transcript.pyannote[711].start 4547.15159375
transcript.pyannote[711].end 4547.52284375
transcript.pyannote[712].speaker SPEAKER_08
transcript.pyannote[712].start 4549.37909375
transcript.pyannote[712].end 4551.42096875
transcript.pyannote[713].speaker SPEAKER_01
transcript.pyannote[713].start 4552.77096875
transcript.pyannote[713].end 4559.62221875
transcript.pyannote[714].speaker SPEAKER_08
transcript.pyannote[714].start 4556.09534375
transcript.pyannote[714].end 4558.17096875
transcript.pyannote[715].speaker SPEAKER_08
transcript.pyannote[715].start 4560.43221875
transcript.pyannote[715].end 4568.61659375
transcript.pyannote[716].speaker SPEAKER_01
transcript.pyannote[716].start 4570.10159375
transcript.pyannote[716].end 4570.77659375
transcript.pyannote[717].speaker SPEAKER_01
transcript.pyannote[717].start 4570.92846875
transcript.pyannote[717].end 4574.94471875
transcript.pyannote[718].speaker SPEAKER_08
transcript.pyannote[718].start 4573.57784375
transcript.pyannote[718].end 4574.60721875
transcript.pyannote[719].speaker SPEAKER_08
transcript.pyannote[719].start 4574.74221875
transcript.pyannote[719].end 4577.84721875
transcript.pyannote[720].speaker SPEAKER_01
transcript.pyannote[720].start 4575.33284375
transcript.pyannote[720].end 4577.32409375
transcript.pyannote[721].speaker SPEAKER_01
transcript.pyannote[721].start 4577.91471875
transcript.pyannote[721].end 4597.89471875
transcript.pyannote[722].speaker SPEAKER_01
transcript.pyannote[722].start 4597.91159375
transcript.pyannote[722].end 4597.99596875
transcript.pyannote[723].speaker SPEAKER_08
transcript.pyannote[723].start 4597.94534375
transcript.pyannote[723].end 4598.28284375
transcript.pyannote[724].speaker SPEAKER_01
transcript.pyannote[724].start 4598.28284375
transcript.pyannote[724].end 4598.77221875
transcript.pyannote[725].speaker SPEAKER_01
transcript.pyannote[725].start 4599.16034375
transcript.pyannote[725].end 4616.47409375
transcript.pyannote[726].speaker SPEAKER_01
transcript.pyannote[726].start 4616.98034375
transcript.pyannote[726].end 4632.57284375
transcript.pyannote[727].speaker SPEAKER_01
transcript.pyannote[727].start 4632.99471875
transcript.pyannote[727].end 4639.79534375
transcript.pyannote[728].speaker SPEAKER_01
transcript.pyannote[728].start 4640.08221875
transcript.pyannote[728].end 4664.02784375
transcript.pyannote[729].speaker SPEAKER_01
transcript.pyannote[729].start 4664.43284375
transcript.pyannote[729].end 4666.15409375
transcript.pyannote[730].speaker SPEAKER_01
transcript.pyannote[730].start 4667.23409375
transcript.pyannote[730].end 4674.54096875
transcript.pyannote[731].speaker SPEAKER_01
transcript.pyannote[731].start 4674.94596875
transcript.pyannote[731].end 4677.20721875
transcript.pyannote[732].speaker SPEAKER_01
transcript.pyannote[732].start 4677.46034375
transcript.pyannote[732].end 4678.94534375
transcript.pyannote[733].speaker SPEAKER_08
transcript.pyannote[733].start 4679.29971875
transcript.pyannote[733].end 4681.00409375
transcript.pyannote[734].speaker SPEAKER_01
transcript.pyannote[734].start 4681.45971875
transcript.pyannote[734].end 4681.47659375
transcript.pyannote[735].speaker SPEAKER_08
transcript.pyannote[735].start 4681.47659375
transcript.pyannote[735].end 4682.67471875
transcript.pyannote[736].speaker SPEAKER_01
transcript.pyannote[736].start 4682.06721875
transcript.pyannote[736].end 4682.10096875
transcript.pyannote[737].speaker SPEAKER_09
transcript.pyannote[737].start 4682.10096875
transcript.pyannote[737].end 4682.69159375
transcript.pyannote[738].speaker SPEAKER_01
transcript.pyannote[738].start 4682.67471875
transcript.pyannote[738].end 4682.82659375
transcript.pyannote[739].speaker SPEAKER_08
transcript.pyannote[739].start 4682.69159375
transcript.pyannote[739].end 4682.70846875
transcript.pyannote[740].speaker SPEAKER_09
transcript.pyannote[740].start 4682.70846875
transcript.pyannote[740].end 4682.72534375
transcript.pyannote[741].speaker SPEAKER_09
transcript.pyannote[741].start 4682.82659375
transcript.pyannote[741].end 4683.19784375
transcript.pyannote[742].speaker SPEAKER_08
transcript.pyannote[742].start 4683.19784375
transcript.pyannote[742].end 4684.15971875
transcript.pyannote[743].speaker SPEAKER_08
transcript.pyannote[743].start 4684.53096875
transcript.pyannote[743].end 4697.15346875
transcript.pyannote[744].speaker SPEAKER_01
transcript.pyannote[744].start 4697.42346875
transcript.pyannote[744].end 4703.81909375
transcript.pyannote[745].speaker SPEAKER_08
transcript.pyannote[745].start 4701.65909375
transcript.pyannote[745].end 4707.63284375
transcript.pyannote[746].speaker SPEAKER_01
transcript.pyannote[746].start 4704.81471875
transcript.pyannote[746].end 4706.16471875
transcript.pyannote[747].speaker SPEAKER_01
transcript.pyannote[747].start 4707.76784375
transcript.pyannote[747].end 4717.48784375
transcript.pyannote[748].speaker SPEAKER_01
transcript.pyannote[748].start 4717.77471875
transcript.pyannote[748].end 4721.60534375
transcript.pyannote[749].speaker SPEAKER_01
transcript.pyannote[749].start 4722.01034375
transcript.pyannote[749].end 4733.38409375
transcript.pyannote[750].speaker SPEAKER_01
transcript.pyannote[750].start 4733.55284375
transcript.pyannote[750].end 4736.69159375
transcript.pyannote[751].speaker SPEAKER_01
transcript.pyannote[751].start 4737.75471875
transcript.pyannote[751].end 4748.21721875
transcript.pyannote[752].speaker SPEAKER_01
transcript.pyannote[752].start 4748.55471875
transcript.pyannote[752].end 4752.09846875
transcript.pyannote[753].speaker SPEAKER_01
transcript.pyannote[753].start 4752.46971875
transcript.pyannote[753].end 4759.47284375
transcript.pyannote[754].speaker SPEAKER_01
transcript.pyannote[754].start 4760.14784375
transcript.pyannote[754].end 4763.03346875
transcript.pyannote[755].speaker SPEAKER_08
transcript.pyannote[755].start 4762.27409375
transcript.pyannote[755].end 4763.42159375
transcript.pyannote[756].speaker SPEAKER_01
transcript.pyannote[756].start 4763.91096875
transcript.pyannote[756].end 4778.67659375
transcript.pyannote[757].speaker SPEAKER_08
transcript.pyannote[757].start 4768.99034375
transcript.pyannote[757].end 4769.14221875
transcript.pyannote[758].speaker SPEAKER_08
transcript.pyannote[758].start 4770.20534375
transcript.pyannote[758].end 4770.45846875
transcript.pyannote[759].speaker SPEAKER_00
transcript.pyannote[759].start 4770.45846875
transcript.pyannote[759].end 4770.50909375
transcript.pyannote[760].speaker SPEAKER_01
transcript.pyannote[760].start 4779.67221875
transcript.pyannote[760].end 4786.03409375
transcript.pyannote[761].speaker SPEAKER_01
transcript.pyannote[761].start 4786.38846875
transcript.pyannote[761].end 4786.70909375
transcript.pyannote[762].speaker SPEAKER_01
transcript.pyannote[762].start 4786.94534375
transcript.pyannote[762].end 4796.73284375
transcript.pyannote[763].speaker SPEAKER_01
transcript.pyannote[763].start 4796.95221875
transcript.pyannote[763].end 4815.02534375
transcript.pyannote[764].speaker SPEAKER_01
transcript.pyannote[764].start 4815.19409375
transcript.pyannote[764].end 4818.94034375
transcript.pyannote[765].speaker SPEAKER_01
transcript.pyannote[765].start 4819.09221875
transcript.pyannote[765].end 4828.28909375
transcript.pyannote[766].speaker SPEAKER_01
transcript.pyannote[766].start 4829.11596875
transcript.pyannote[766].end 4833.62159375
transcript.pyannote[767].speaker SPEAKER_01
transcript.pyannote[767].start 4833.95909375
transcript.pyannote[767].end 4836.18659375
transcript.pyannote[768].speaker SPEAKER_01
transcript.pyannote[768].start 4836.54096875
transcript.pyannote[768].end 4837.23284375
transcript.pyannote[769].speaker SPEAKER_01
transcript.pyannote[769].start 4837.50284375
transcript.pyannote[769].end 4840.32096875
transcript.pyannote[770].speaker SPEAKER_01
transcript.pyannote[770].start 4841.68784375
transcript.pyannote[770].end 4842.09284375
transcript.pyannote[771].speaker SPEAKER_08
transcript.pyannote[771].start 4842.37971875
transcript.pyannote[771].end 4842.85221875
transcript.pyannote[772].speaker SPEAKER_01
transcript.pyannote[772].start 4843.18971875
transcript.pyannote[772].end 4843.88159375
transcript.pyannote[773].speaker SPEAKER_08
transcript.pyannote[773].start 4843.88159375
transcript.pyannote[773].end 4844.08409375
transcript.pyannote[774].speaker SPEAKER_01
transcript.pyannote[774].start 4844.08409375
transcript.pyannote[774].end 4844.74221875
transcript.pyannote[775].speaker SPEAKER_08
transcript.pyannote[775].start 4844.74221875
transcript.pyannote[775].end 4844.75909375
transcript.pyannote[776].speaker SPEAKER_01
transcript.pyannote[776].start 4844.75909375
transcript.pyannote[776].end 4844.77596875
transcript.pyannote[777].speaker SPEAKER_01
transcript.pyannote[777].start 4845.06284375
transcript.pyannote[777].end 4845.33284375
transcript.pyannote[778].speaker SPEAKER_01
transcript.pyannote[778].start 4845.73784375
transcript.pyannote[778].end 4849.78784375
transcript.pyannote[779].speaker SPEAKER_01
transcript.pyannote[779].start 4850.15909375
transcript.pyannote[779].end 4861.19534375
transcript.pyannote[780].speaker SPEAKER_01
transcript.pyannote[780].start 4861.85346875
transcript.pyannote[780].end 4861.97159375
transcript.pyannote[781].speaker SPEAKER_08
transcript.pyannote[781].start 4861.97159375
transcript.pyannote[781].end 4863.89534375
transcript.pyannote[782].speaker SPEAKER_01
transcript.pyannote[782].start 4863.89534375
transcript.pyannote[782].end 4863.91221875
transcript.pyannote[783].speaker SPEAKER_08
transcript.pyannote[783].start 4863.91221875
transcript.pyannote[783].end 4863.92909375
transcript.pyannote[784].speaker SPEAKER_08
transcript.pyannote[784].start 4864.53659375
transcript.pyannote[784].end 4869.63284375
transcript.pyannote[785].speaker SPEAKER_01
transcript.pyannote[785].start 4868.51909375
transcript.pyannote[785].end 4871.40471875
transcript.pyannote[786].speaker SPEAKER_08
transcript.pyannote[786].start 4870.30784375
transcript.pyannote[786].end 4878.03659375
transcript.pyannote[787].speaker SPEAKER_01
transcript.pyannote[787].start 4879.25159375
transcript.pyannote[787].end 4897.76346875
transcript.pyannote[788].speaker SPEAKER_00
transcript.pyannote[788].start 4892.85284375
transcript.pyannote[788].end 4892.90346875
transcript.pyannote[789].speaker SPEAKER_00
transcript.pyannote[789].start 4893.08909375
transcript.pyannote[789].end 4893.15659375
transcript.pyannote[790].speaker SPEAKER_01
transcript.pyannote[790].start 4898.08409375
transcript.pyannote[790].end 4910.40284375
transcript.pyannote[791].speaker SPEAKER_01
transcript.pyannote[791].start 4910.87534375
transcript.pyannote[791].end 4918.87409375
transcript.pyannote[792].speaker SPEAKER_09
transcript.pyannote[792].start 4917.22034375
transcript.pyannote[792].end 4917.67596875
transcript.pyannote[793].speaker SPEAKER_09
transcript.pyannote[793].start 4918.87409375
transcript.pyannote[793].end 4919.21159375
transcript.pyannote[794].speaker SPEAKER_01
transcript.pyannote[794].start 4919.02596875
transcript.pyannote[794].end 4920.69659375
transcript.pyannote[795].speaker SPEAKER_09
transcript.pyannote[795].start 4920.76409375
transcript.pyannote[795].end 4921.10159375
transcript.pyannote[796].speaker SPEAKER_01
transcript.pyannote[796].start 4921.47284375
transcript.pyannote[796].end 4941.13221875
transcript.pyannote[797].speaker SPEAKER_08
transcript.pyannote[797].start 4939.86659375
transcript.pyannote[797].end 4958.42909375
transcript.pyannote[798].speaker SPEAKER_01
transcript.pyannote[798].start 4946.92034375
transcript.pyannote[798].end 4947.96659375
transcript.pyannote[799].speaker SPEAKER_07
transcript.pyannote[799].start 4947.96659375
transcript.pyannote[799].end 4949.33346875
transcript.pyannote[800].speaker SPEAKER_01
transcript.pyannote[800].start 4958.86784375
transcript.pyannote[800].end 4961.36534375
transcript.pyannote[801].speaker SPEAKER_08
transcript.pyannote[801].start 4960.30221875
transcript.pyannote[801].end 4961.65221875
transcript.pyannote[802].speaker SPEAKER_01
transcript.pyannote[802].start 4961.65221875
transcript.pyannote[802].end 4967.28846875
transcript.pyannote[803].speaker SPEAKER_01
transcript.pyannote[803].start 4967.65971875
transcript.pyannote[803].end 4969.16159375
transcript.pyannote[804].speaker SPEAKER_08
transcript.pyannote[804].start 4968.36846875
transcript.pyannote[804].end 4969.65096875
transcript.pyannote[805].speaker SPEAKER_01
transcript.pyannote[805].start 4969.65096875
transcript.pyannote[805].end 4978.00409375
transcript.pyannote[806].speaker SPEAKER_01
transcript.pyannote[806].start 4978.72971875
transcript.pyannote[806].end 4987.47096875
transcript.pyannote[807].speaker SPEAKER_01
transcript.pyannote[807].start 4988.33159375
transcript.pyannote[807].end 4990.67721875
transcript.pyannote[808].speaker SPEAKER_01
transcript.pyannote[808].start 4991.28471875
transcript.pyannote[808].end 4992.51659375
transcript.pyannote[809].speaker SPEAKER_01
transcript.pyannote[809].start 4992.83721875
transcript.pyannote[809].end 4995.13221875
transcript.pyannote[810].speaker SPEAKER_01
transcript.pyannote[810].start 4995.52034375
transcript.pyannote[810].end 4998.16971875
transcript.pyannote[811].speaker SPEAKER_08
transcript.pyannote[811].start 4998.47346875
transcript.pyannote[811].end 4998.94596875
transcript.pyannote[812].speaker SPEAKER_08
transcript.pyannote[812].start 4999.50284375
transcript.pyannote[812].end 5002.79346875
transcript.pyannote[813].speaker SPEAKER_08
transcript.pyannote[813].start 5002.99596875
transcript.pyannote[813].end 5004.10971875
transcript.pyannote[814].speaker SPEAKER_09
transcript.pyannote[814].start 5004.71721875
transcript.pyannote[814].end 5004.88596875
transcript.pyannote[815].speaker SPEAKER_08
transcript.pyannote[815].start 5004.88596875
transcript.pyannote[815].end 5005.37534375
transcript.pyannote[816].speaker SPEAKER_08
transcript.pyannote[816].start 5005.52721875
transcript.pyannote[816].end 5009.74596875
transcript.pyannote[817].speaker SPEAKER_08
transcript.pyannote[817].start 5010.11721875
transcript.pyannote[817].end 5017.33971875
transcript.pyannote[818].speaker SPEAKER_08
transcript.pyannote[818].start 5017.72784375
transcript.pyannote[818].end 5018.65596875
transcript.pyannote[819].speaker SPEAKER_08
transcript.pyannote[819].start 5018.94284375
transcript.pyannote[819].end 5019.76971875
transcript.pyannote[820].speaker SPEAKER_01
transcript.pyannote[820].start 5020.20846875
transcript.pyannote[820].end 5023.02659375
transcript.pyannote[821].speaker SPEAKER_02
transcript.pyannote[821].start 5028.17346875
transcript.pyannote[821].end 5031.34596875
transcript.pyannote[822].speaker SPEAKER_02
transcript.pyannote[822].start 5031.97034375
transcript.pyannote[822].end 5032.39221875
transcript.pyannote[823].speaker SPEAKER_09
transcript.pyannote[823].start 5038.90596875
transcript.pyannote[823].end 5039.02409375
transcript.pyannote[824].speaker SPEAKER_09
transcript.pyannote[824].start 5039.04096875
transcript.pyannote[824].end 5040.13784375
transcript.pyannote[825].speaker SPEAKER_09
transcript.pyannote[825].start 5040.55971875
transcript.pyannote[825].end 5040.66096875
transcript.pyannote[826].speaker SPEAKER_09
transcript.pyannote[826].start 5040.96471875
transcript.pyannote[826].end 5041.03221875
transcript.pyannote[827].speaker SPEAKER_09
transcript.pyannote[827].start 5042.93909375
transcript.pyannote[827].end 5043.10784375
transcript.pyannote[828].speaker SPEAKER_02
transcript.pyannote[828].start 5049.09846875
transcript.pyannote[828].end 5053.36784375
transcript.pyannote[829].speaker SPEAKER_06
transcript.pyannote[829].start 5060.84346875
transcript.pyannote[829].end 5062.68284375
transcript.pyannote[830].speaker SPEAKER_02
transcript.pyannote[830].start 5062.91909375
transcript.pyannote[830].end 5064.64034375
transcript.pyannote[831].speaker SPEAKER_06
transcript.pyannote[831].start 5071.54221875
transcript.pyannote[831].end 5071.57596875
transcript.pyannote[832].speaker SPEAKER_08
transcript.pyannote[832].start 5071.57596875
transcript.pyannote[832].end 5073.06096875
transcript.pyannote[833].speaker SPEAKER_06
transcript.pyannote[833].start 5073.71909375
transcript.pyannote[833].end 5081.53221875
transcript.pyannote[834].speaker SPEAKER_06
transcript.pyannote[834].start 5082.49409375
transcript.pyannote[834].end 5090.52659375
transcript.pyannote[835].speaker SPEAKER_06
transcript.pyannote[835].start 5091.10034375
transcript.pyannote[835].end 5099.70659375
transcript.pyannote[836].speaker SPEAKER_06
transcript.pyannote[836].start 5100.34784375
transcript.pyannote[836].end 5102.35596875
transcript.pyannote[837].speaker SPEAKER_06
transcript.pyannote[837].start 5102.86221875
transcript.pyannote[837].end 5108.65034375
transcript.pyannote[838].speaker SPEAKER_06
transcript.pyannote[838].start 5109.49409375
transcript.pyannote[838].end 5113.25721875
transcript.pyannote[839].speaker SPEAKER_06
transcript.pyannote[839].start 5113.71284375
transcript.pyannote[839].end 5119.58534375
transcript.pyannote[840].speaker SPEAKER_06
transcript.pyannote[840].start 5120.07471875
transcript.pyannote[840].end 5121.94784375
transcript.pyannote[841].speaker SPEAKER_06
transcript.pyannote[841].start 5122.16721875
transcript.pyannote[841].end 5123.88846875
transcript.pyannote[842].speaker SPEAKER_06
transcript.pyannote[842].start 5124.15846875
transcript.pyannote[842].end 5125.66034375
transcript.pyannote[843].speaker SPEAKER_06
transcript.pyannote[843].start 5126.57159375
transcript.pyannote[843].end 5128.36034375
transcript.pyannote[844].speaker SPEAKER_06
transcript.pyannote[844].start 5129.00159375
transcript.pyannote[844].end 5129.77784375
transcript.pyannote[845].speaker SPEAKER_06
transcript.pyannote[845].start 5129.96346875
transcript.pyannote[845].end 5131.34721875
transcript.pyannote[846].speaker SPEAKER_06
transcript.pyannote[846].start 5131.85346875
transcript.pyannote[846].end 5133.03471875
transcript.pyannote[847].speaker SPEAKER_06
transcript.pyannote[847].start 5133.43971875
transcript.pyannote[847].end 5133.81096875
transcript.pyannote[848].speaker SPEAKER_06
transcript.pyannote[848].start 5134.18221875
transcript.pyannote[848].end 5135.02596875
transcript.pyannote[849].speaker SPEAKER_06
transcript.pyannote[849].start 5135.27909375
transcript.pyannote[849].end 5135.70096875
transcript.pyannote[850].speaker SPEAKER_06
transcript.pyannote[850].start 5136.42659375
transcript.pyannote[850].end 5137.42221875
transcript.pyannote[851].speaker SPEAKER_06
transcript.pyannote[851].start 5137.64159375
transcript.pyannote[851].end 5138.67096875
transcript.pyannote[852].speaker SPEAKER_06
transcript.pyannote[852].start 5139.34596875
transcript.pyannote[852].end 5160.08534375
transcript.pyannote[853].speaker SPEAKER_06
transcript.pyannote[853].start 5161.26659375
transcript.pyannote[853].end 5165.60346875
transcript.pyannote[854].speaker SPEAKER_06
transcript.pyannote[854].start 5166.07596875
transcript.pyannote[854].end 5166.91971875
transcript.pyannote[855].speaker SPEAKER_06
transcript.pyannote[855].start 5167.45971875
transcript.pyannote[855].end 5170.27784375
transcript.pyannote[856].speaker SPEAKER_06
transcript.pyannote[856].start 5170.96971875
transcript.pyannote[856].end 5176.36971875
transcript.pyannote[857].speaker SPEAKER_06
transcript.pyannote[857].start 5177.17971875
transcript.pyannote[857].end 5178.10784375
transcript.pyannote[858].speaker SPEAKER_06
transcript.pyannote[858].start 5178.69846875
transcript.pyannote[858].end 5180.65596875
transcript.pyannote[859].speaker SPEAKER_06
transcript.pyannote[859].start 5181.22971875
transcript.pyannote[859].end 5182.10721875
transcript.pyannote[860].speaker SPEAKER_06
transcript.pyannote[860].start 5182.84971875
transcript.pyannote[860].end 5190.03846875
transcript.pyannote[861].speaker SPEAKER_06
transcript.pyannote[861].start 5190.54471875
transcript.pyannote[861].end 5191.70909375
transcript.pyannote[862].speaker SPEAKER_06
transcript.pyannote[862].start 5192.24909375
transcript.pyannote[862].end 5195.23596875
transcript.pyannote[863].speaker SPEAKER_08
transcript.pyannote[863].start 5195.23596875
transcript.pyannote[863].end 5195.26971875
transcript.pyannote[864].speaker SPEAKER_06
transcript.pyannote[864].start 5195.87721875
transcript.pyannote[864].end 5196.67034375
transcript.pyannote[865].speaker SPEAKER_08
transcript.pyannote[865].start 5196.67034375
transcript.pyannote[865].end 5196.70409375
transcript.pyannote[866].speaker SPEAKER_06
transcript.pyannote[866].start 5197.71659375
transcript.pyannote[866].end 5197.75034375
transcript.pyannote[867].speaker SPEAKER_08
transcript.pyannote[867].start 5197.75034375
transcript.pyannote[867].end 5222.60721875
transcript.pyannote[868].speaker SPEAKER_06
transcript.pyannote[868].start 5198.03721875
transcript.pyannote[868].end 5199.23534375
transcript.pyannote[869].speaker SPEAKER_06
transcript.pyannote[869].start 5222.79284375
transcript.pyannote[869].end 5232.44534375
transcript.pyannote[870].speaker SPEAKER_09
transcript.pyannote[870].start 5232.44534375
transcript.pyannote[870].end 5232.81659375
transcript.pyannote[871].speaker SPEAKER_06
transcript.pyannote[871].start 5232.71534375
transcript.pyannote[871].end 5269.80659375
transcript.pyannote[872].speaker SPEAKER_09
transcript.pyannote[872].start 5234.60534375
transcript.pyannote[872].end 5234.68971875
transcript.pyannote[873].speaker SPEAKER_09
transcript.pyannote[873].start 5251.73346875
transcript.pyannote[873].end 5252.40846875
transcript.pyannote[874].speaker SPEAKER_08
transcript.pyannote[874].start 5254.75409375
transcript.pyannote[874].end 5256.12096875
transcript.pyannote[875].speaker SPEAKER_08
transcript.pyannote[875].start 5256.44159375
transcript.pyannote[875].end 5256.81284375
transcript.pyannote[876].speaker SPEAKER_08
transcript.pyannote[876].start 5260.33971875
transcript.pyannote[876].end 5262.07784375
transcript.pyannote[877].speaker SPEAKER_08
transcript.pyannote[877].start 5262.33096875
transcript.pyannote[877].end 5263.24221875
transcript.pyannote[878].speaker SPEAKER_08
transcript.pyannote[878].start 5264.20409375
transcript.pyannote[878].end 5265.85784375
transcript.pyannote[879].speaker SPEAKER_06
transcript.pyannote[879].start 5270.17784375
transcript.pyannote[879].end 5270.48159375
transcript.pyannote[880].speaker SPEAKER_06
transcript.pyannote[880].start 5271.03846875
transcript.pyannote[880].end 5273.56971875
transcript.pyannote[881].speaker SPEAKER_06
transcript.pyannote[881].start 5273.97471875
transcript.pyannote[881].end 5276.59034375
transcript.pyannote[882].speaker SPEAKER_06
transcript.pyannote[882].start 5277.28221875
transcript.pyannote[882].end 5278.46346875
transcript.pyannote[883].speaker SPEAKER_06
transcript.pyannote[883].start 5279.02034375
transcript.pyannote[883].end 5279.69534375
transcript.pyannote[884].speaker SPEAKER_06
transcript.pyannote[884].start 5280.18471875
transcript.pyannote[884].end 5281.58534375
transcript.pyannote[885].speaker SPEAKER_06
transcript.pyannote[885].start 5281.82159375
transcript.pyannote[885].end 5283.15471875
transcript.pyannote[886].speaker SPEAKER_06
transcript.pyannote[886].start 5283.55971875
transcript.pyannote[886].end 5285.19659375
transcript.pyannote[887].speaker SPEAKER_06
transcript.pyannote[887].start 5285.70284375
transcript.pyannote[887].end 5293.43159375
transcript.pyannote[888].speaker SPEAKER_06
transcript.pyannote[888].start 5293.75221875
transcript.pyannote[888].end 5294.66346875
transcript.pyannote[889].speaker SPEAKER_06
transcript.pyannote[889].start 5294.79846875
transcript.pyannote[889].end 5296.53659375
transcript.pyannote[890].speaker SPEAKER_06
transcript.pyannote[890].start 5296.60409375
transcript.pyannote[890].end 5298.76409375
transcript.pyannote[891].speaker SPEAKER_06
transcript.pyannote[891].start 5299.62471875
transcript.pyannote[891].end 5301.00846875
transcript.pyannote[892].speaker SPEAKER_06
transcript.pyannote[892].start 5301.27846875
transcript.pyannote[892].end 5302.32471875
transcript.pyannote[893].speaker SPEAKER_06
transcript.pyannote[893].start 5303.26971875
transcript.pyannote[893].end 5303.64096875
transcript.pyannote[894].speaker SPEAKER_06
transcript.pyannote[894].start 5304.14721875
transcript.pyannote[894].end 5304.95721875
transcript.pyannote[895].speaker SPEAKER_06
transcript.pyannote[895].start 5305.09221875
transcript.pyannote[895].end 5308.19721875
transcript.pyannote[896].speaker SPEAKER_06
transcript.pyannote[896].start 5308.61909375
transcript.pyannote[896].end 5310.62721875
transcript.pyannote[897].speaker SPEAKER_06
transcript.pyannote[897].start 5312.02784375
transcript.pyannote[897].end 5312.78721875
transcript.pyannote[898].speaker SPEAKER_06
transcript.pyannote[898].start 5313.10784375
transcript.pyannote[898].end 5316.04409375
transcript.pyannote[899].speaker SPEAKER_06
transcript.pyannote[899].start 5316.51659375
transcript.pyannote[899].end 5322.08534375
transcript.pyannote[900].speaker SPEAKER_06
transcript.pyannote[900].start 5322.62534375
transcript.pyannote[900].end 5324.58284375
transcript.pyannote[901].speaker SPEAKER_06
transcript.pyannote[901].start 5324.76846875
transcript.pyannote[901].end 5325.22409375
transcript.pyannote[902].speaker SPEAKER_06
transcript.pyannote[902].start 5326.70909375
transcript.pyannote[902].end 5329.96596875
transcript.pyannote[903].speaker SPEAKER_06
transcript.pyannote[903].start 5330.72534375
transcript.pyannote[903].end 5333.96534375
transcript.pyannote[904].speaker SPEAKER_06
transcript.pyannote[904].start 5334.72471875
transcript.pyannote[904].end 5336.93534375
transcript.pyannote[905].speaker SPEAKER_06
transcript.pyannote[905].start 5337.47534375
transcript.pyannote[905].end 5338.20096875
transcript.pyannote[906].speaker SPEAKER_06
transcript.pyannote[906].start 5339.04471875
transcript.pyannote[906].end 5339.68596875
transcript.pyannote[907].speaker SPEAKER_06
transcript.pyannote[907].start 5339.82096875
transcript.pyannote[907].end 5341.20471875
transcript.pyannote[908].speaker SPEAKER_06
transcript.pyannote[908].start 5341.81221875
transcript.pyannote[908].end 5342.90909375
transcript.pyannote[909].speaker SPEAKER_06
transcript.pyannote[909].start 5343.34784375
transcript.pyannote[909].end 5344.19159375
transcript.pyannote[910].speaker SPEAKER_06
transcript.pyannote[910].start 5344.64721875
transcript.pyannote[910].end 5345.60909375
transcript.pyannote[911].speaker SPEAKER_06
transcript.pyannote[911].start 5345.98034375
transcript.pyannote[911].end 5346.80721875
transcript.pyannote[912].speaker SPEAKER_06
transcript.pyannote[912].start 5347.38096875
transcript.pyannote[912].end 5349.33846875
transcript.pyannote[913].speaker SPEAKER_06
transcript.pyannote[913].start 5349.91221875
transcript.pyannote[913].end 5351.46471875
transcript.pyannote[914].speaker SPEAKER_06
transcript.pyannote[914].start 5352.35909375
transcript.pyannote[914].end 5352.59534375
transcript.pyannote[915].speaker SPEAKER_06
transcript.pyannote[915].start 5353.23659375
transcript.pyannote[915].end 5354.21534375
transcript.pyannote[916].speaker SPEAKER_06
transcript.pyannote[916].start 5355.58221875
transcript.pyannote[916].end 5357.06721875
transcript.pyannote[917].speaker SPEAKER_06
transcript.pyannote[917].start 5357.18534375
transcript.pyannote[917].end 5368.54221875
transcript.pyannote[918].speaker SPEAKER_04
transcript.pyannote[918].start 5357.21909375
transcript.pyannote[918].end 5357.77596875
transcript.pyannote[919].speaker SPEAKER_04
transcript.pyannote[919].start 5357.79284375
transcript.pyannote[919].end 5357.96159375
transcript.pyannote[920].speaker SPEAKER_04
transcript.pyannote[920].start 5358.02909375
transcript.pyannote[920].end 5358.48471875
transcript.pyannote[921].speaker SPEAKER_04
transcript.pyannote[921].start 5359.58159375
transcript.pyannote[921].end 5359.64909375
transcript.pyannote[922].speaker SPEAKER_06
transcript.pyannote[922].start 5369.75721875
transcript.pyannote[922].end 5383.96596875
transcript.pyannote[923].speaker SPEAKER_08
transcript.pyannote[923].start 5383.96596875
transcript.pyannote[923].end 5384.45534375
transcript.pyannote[924].speaker SPEAKER_06
transcript.pyannote[924].start 5384.45534375
transcript.pyannote[924].end 5384.47221875
transcript.pyannote[925].speaker SPEAKER_08
transcript.pyannote[925].start 5385.31596875
transcript.pyannote[925].end 5406.03846875
transcript.pyannote[926].speaker SPEAKER_06
transcript.pyannote[926].start 5400.77346875
transcript.pyannote[926].end 5401.92096875
transcript.pyannote[927].speaker SPEAKER_06
transcript.pyannote[927].start 5406.03846875
transcript.pyannote[927].end 5411.55659375
transcript.pyannote[928].speaker SPEAKER_06
transcript.pyannote[928].start 5411.97846875
transcript.pyannote[928].end 5431.80659375
transcript.pyannote[929].speaker SPEAKER_00
transcript.pyannote[929].start 5416.82159375
transcript.pyannote[929].end 5417.32784375
transcript.pyannote[930].speaker SPEAKER_06
transcript.pyannote[930].start 5432.29596875
transcript.pyannote[930].end 5433.56159375
transcript.pyannote[931].speaker SPEAKER_06
transcript.pyannote[931].start 5434.27034375
transcript.pyannote[931].end 5435.36721875
transcript.pyannote[932].speaker SPEAKER_06
transcript.pyannote[932].start 5435.82284375
transcript.pyannote[932].end 5437.83096875
transcript.pyannote[933].speaker SPEAKER_06
transcript.pyannote[933].start 5437.93221875
transcript.pyannote[933].end 5439.58596875
transcript.pyannote[934].speaker SPEAKER_06
transcript.pyannote[934].start 5439.99096875
transcript.pyannote[934].end 5441.81346875
transcript.pyannote[935].speaker SPEAKER_06
transcript.pyannote[935].start 5442.96096875
transcript.pyannote[935].end 5443.55159375
transcript.pyannote[936].speaker SPEAKER_06
transcript.pyannote[936].start 5444.02409375
transcript.pyannote[936].end 5447.39909375
transcript.pyannote[937].speaker SPEAKER_06
transcript.pyannote[937].start 5448.66471875
transcript.pyannote[937].end 5455.88721875
transcript.pyannote[938].speaker SPEAKER_09
transcript.pyannote[938].start 5452.46159375
transcript.pyannote[938].end 5453.08596875
transcript.pyannote[939].speaker SPEAKER_06
transcript.pyannote[939].start 5456.20784375
transcript.pyannote[939].end 5456.76471875
transcript.pyannote[940].speaker SPEAKER_06
transcript.pyannote[940].start 5457.40596875
transcript.pyannote[940].end 5459.00909375
transcript.pyannote[941].speaker SPEAKER_06
transcript.pyannote[941].start 5459.61659375
transcript.pyannote[941].end 5465.62409375
transcript.pyannote[942].speaker SPEAKER_08
transcript.pyannote[942].start 5466.45096875
transcript.pyannote[942].end 5470.53471875
transcript.pyannote[943].speaker SPEAKER_08
transcript.pyannote[943].start 5471.10846875
transcript.pyannote[943].end 5481.67221875
transcript.pyannote[944].speaker SPEAKER_06
transcript.pyannote[944].start 5480.86221875
transcript.pyannote[944].end 5489.38409375
transcript.pyannote[945].speaker SPEAKER_06
transcript.pyannote[945].start 5489.89034375
transcript.pyannote[945].end 5507.96346875
transcript.pyannote[946].speaker SPEAKER_06
transcript.pyannote[946].start 5508.04784375
transcript.pyannote[946].end 5508.48659375
transcript.pyannote[947].speaker SPEAKER_06
transcript.pyannote[947].start 5508.70596875
transcript.pyannote[947].end 5510.71409375
transcript.pyannote[948].speaker SPEAKER_06
transcript.pyannote[948].start 5510.96721875
transcript.pyannote[948].end 5512.30034375
transcript.pyannote[949].speaker SPEAKER_06
transcript.pyannote[949].start 5512.78971875
transcript.pyannote[949].end 5513.81909375
transcript.pyannote[950].speaker SPEAKER_06
transcript.pyannote[950].start 5514.64596875
transcript.pyannote[950].end 5517.00846875
transcript.pyannote[951].speaker SPEAKER_06
transcript.pyannote[951].start 5517.81846875
transcript.pyannote[951].end 5519.33721875
transcript.pyannote[952].speaker SPEAKER_06
transcript.pyannote[952].start 5520.19784375
transcript.pyannote[952].end 5521.81784375
transcript.pyannote[953].speaker SPEAKER_06
transcript.pyannote[953].start 5522.15534375
transcript.pyannote[953].end 5524.48409375
transcript.pyannote[954].speaker SPEAKER_06
transcript.pyannote[954].start 5525.24346875
transcript.pyannote[954].end 5525.76659375
transcript.pyannote[955].speaker SPEAKER_06
transcript.pyannote[955].start 5525.93534375
transcript.pyannote[955].end 5527.20096875
transcript.pyannote[956].speaker SPEAKER_06
transcript.pyannote[956].start 5527.52159375
transcript.pyannote[956].end 5537.19096875
transcript.pyannote[957].speaker SPEAKER_06
transcript.pyannote[957].start 5537.54534375
transcript.pyannote[957].end 5538.00096875
transcript.pyannote[958].speaker SPEAKER_06
transcript.pyannote[958].start 5538.60846875
transcript.pyannote[958].end 5541.02159375
transcript.pyannote[959].speaker SPEAKER_06
transcript.pyannote[959].start 5541.66284375
transcript.pyannote[959].end 5546.43846875
transcript.pyannote[960].speaker SPEAKER_06
transcript.pyannote[960].start 5546.82659375
transcript.pyannote[960].end 5550.53909375
transcript.pyannote[961].speaker SPEAKER_06
transcript.pyannote[961].start 5551.01159375
transcript.pyannote[961].end 5551.31534375
transcript.pyannote[962].speaker SPEAKER_06
transcript.pyannote[962].start 5552.20971875
transcript.pyannote[962].end 5553.23909375
transcript.pyannote[963].speaker SPEAKER_06
transcript.pyannote[963].start 5554.30221875
transcript.pyannote[963].end 5559.53346875
transcript.pyannote[964].speaker SPEAKER_06
transcript.pyannote[964].start 5560.09034375
transcript.pyannote[964].end 5561.42346875
transcript.pyannote[965].speaker SPEAKER_06
transcript.pyannote[965].start 5562.43596875
transcript.pyannote[965].end 5564.07284375
transcript.pyannote[966].speaker SPEAKER_06
transcript.pyannote[966].start 5564.08971875
transcript.pyannote[966].end 5566.67159375
transcript.pyannote[967].speaker SPEAKER_06
transcript.pyannote[967].start 5566.75596875
transcript.pyannote[967].end 5568.89909375
transcript.pyannote[968].speaker SPEAKER_08
transcript.pyannote[968].start 5566.87409375
transcript.pyannote[968].end 5568.02159375
transcript.pyannote[969].speaker SPEAKER_08
transcript.pyannote[969].start 5568.24096875
transcript.pyannote[969].end 5568.79784375
transcript.pyannote[970].speaker SPEAKER_08
transcript.pyannote[970].start 5568.89909375
transcript.pyannote[970].end 5568.94971875
transcript.pyannote[971].speaker SPEAKER_08
transcript.pyannote[971].start 5569.64159375
transcript.pyannote[971].end 5588.79471875
transcript.pyannote[972].speaker SPEAKER_06
transcript.pyannote[972].start 5573.30346875
transcript.pyannote[972].end 5574.51846875
transcript.pyannote[973].speaker SPEAKER_06
transcript.pyannote[973].start 5576.88096875
transcript.pyannote[973].end 5577.26909375
transcript.pyannote[974].speaker SPEAKER_09
transcript.pyannote[974].start 5577.26909375
transcript.pyannote[974].end 5577.28596875
transcript.pyannote[975].speaker SPEAKER_09
transcript.pyannote[975].start 5580.07034375
transcript.pyannote[975].end 5580.13784375
transcript.pyannote[976].speaker SPEAKER_09
transcript.pyannote[976].start 5580.18846875
transcript.pyannote[976].end 5580.20534375
transcript.pyannote[977].speaker SPEAKER_06
transcript.pyannote[977].start 5586.19596875
transcript.pyannote[977].end 5587.05659375
transcript.pyannote[978].speaker SPEAKER_06
transcript.pyannote[978].start 5587.19159375
transcript.pyannote[978].end 5588.65971875
transcript.pyannote[979].speaker SPEAKER_06
transcript.pyannote[979].start 5588.79471875
transcript.pyannote[979].end 5588.89596875
transcript.pyannote[980].speaker SPEAKER_08
transcript.pyannote[980].start 5588.89596875
transcript.pyannote[980].end 5592.42284375
transcript.pyannote[981].speaker SPEAKER_06
transcript.pyannote[981].start 5589.14909375
transcript.pyannote[981].end 5590.07721875
transcript.pyannote[982].speaker SPEAKER_06
transcript.pyannote[982].start 5590.19534375
transcript.pyannote[982].end 5590.71846875
transcript.pyannote[983].speaker SPEAKER_06
transcript.pyannote[983].start 5591.42721875
transcript.pyannote[983].end 5609.95596875
transcript.pyannote[984].speaker SPEAKER_08
transcript.pyannote[984].start 5594.19471875
transcript.pyannote[984].end 5596.13534375
transcript.pyannote[985].speaker SPEAKER_08
transcript.pyannote[985].start 5599.47659375
transcript.pyannote[985].end 5600.15159375
transcript.pyannote[986].speaker SPEAKER_08
transcript.pyannote[986].start 5600.87721875
transcript.pyannote[986].end 5600.97846875
transcript.pyannote[987].speaker SPEAKER_08
transcript.pyannote[987].start 5604.15096875
transcript.pyannote[987].end 5605.02846875
transcript.pyannote[988].speaker SPEAKER_08
transcript.pyannote[988].start 5605.36596875
transcript.pyannote[988].end 5605.82159375
transcript.pyannote[989].speaker SPEAKER_06
transcript.pyannote[989].start 5610.36096875
transcript.pyannote[989].end 5612.75721875
transcript.pyannote[990].speaker SPEAKER_06
transcript.pyannote[990].start 5612.95971875
transcript.pyannote[990].end 5613.71909375
transcript.pyannote[991].speaker SPEAKER_06
transcript.pyannote[991].start 5614.05659375
transcript.pyannote[991].end 5616.16596875
transcript.pyannote[992].speaker SPEAKER_06
transcript.pyannote[992].start 5616.48659375
transcript.pyannote[992].end 5617.31346875
transcript.pyannote[993].speaker SPEAKER_06
transcript.pyannote[993].start 5617.53284375
transcript.pyannote[993].end 5618.69721875
transcript.pyannote[994].speaker SPEAKER_06
transcript.pyannote[994].start 5619.20346875
transcript.pyannote[994].end 5621.27909375
transcript.pyannote[995].speaker SPEAKER_06
transcript.pyannote[995].start 5621.80221875
transcript.pyannote[995].end 5628.87284375
transcript.pyannote[996].speaker SPEAKER_06
transcript.pyannote[996].start 5629.29471875
transcript.pyannote[996].end 5636.85471875
transcript.pyannote[997].speaker SPEAKER_06
transcript.pyannote[997].start 5637.68159375
transcript.pyannote[997].end 5638.18784375
transcript.pyannote[998].speaker SPEAKER_06
transcript.pyannote[998].start 5639.14971875
transcript.pyannote[998].end 5642.13659375
transcript.pyannote[999].speaker SPEAKER_06
transcript.pyannote[999].start 5642.92971875
transcript.pyannote[999].end 5645.74784375
transcript.pyannote[1000].speaker SPEAKER_06
transcript.pyannote[1000].start 5646.77721875
transcript.pyannote[1000].end 5649.37596875
transcript.pyannote[1001].speaker SPEAKER_06
transcript.pyannote[1001].start 5649.47721875
transcript.pyannote[1001].end 5661.34034375
transcript.pyannote[1002].speaker SPEAKER_06
transcript.pyannote[1002].start 5661.84659375
transcript.pyannote[1002].end 5664.78284375
transcript.pyannote[1003].speaker SPEAKER_06
transcript.pyannote[1003].start 5664.96846875
transcript.pyannote[1003].end 5667.51659375
transcript.pyannote[1004].speaker SPEAKER_06
transcript.pyannote[1004].start 5668.20846875
transcript.pyannote[1004].end 5668.71471875
transcript.pyannote[1005].speaker SPEAKER_06
transcript.pyannote[1005].start 5668.96784375
transcript.pyannote[1005].end 5669.91284375
transcript.pyannote[1006].speaker SPEAKER_08
transcript.pyannote[1006].start 5671.07721875
transcript.pyannote[1006].end 5671.76909375
transcript.pyannote[1007].speaker SPEAKER_08
transcript.pyannote[1007].start 5672.59596875
transcript.pyannote[1007].end 5673.28784375
transcript.pyannote[1008].speaker SPEAKER_08
transcript.pyannote[1008].start 5674.13159375
transcript.pyannote[1008].end 5683.78409375
transcript.pyannote[1009].speaker SPEAKER_06
transcript.pyannote[1009].start 5678.08034375
transcript.pyannote[1009].end 5679.02534375
transcript.pyannote[1010].speaker SPEAKER_00
transcript.pyannote[1010].start 5679.02534375
transcript.pyannote[1010].end 5679.16034375
transcript.pyannote[1011].speaker SPEAKER_00
transcript.pyannote[1011].start 5682.38346875
transcript.pyannote[1011].end 5682.41721875
transcript.pyannote[1012].speaker SPEAKER_09
transcript.pyannote[1012].start 5682.41721875
transcript.pyannote[1012].end 5682.65346875
transcript.pyannote[1013].speaker SPEAKER_08
transcript.pyannote[1013].start 5684.20596875
transcript.pyannote[1013].end 5685.89346875
transcript.pyannote[1014].speaker SPEAKER_06
transcript.pyannote[1014].start 5685.89346875
transcript.pyannote[1014].end 5689.52159375
transcript.pyannote[1015].speaker SPEAKER_08
transcript.pyannote[1015].start 5686.06221875
transcript.pyannote[1015].end 5691.83346875
transcript.pyannote[1016].speaker SPEAKER_06
transcript.pyannote[1016].start 5691.24284375
transcript.pyannote[1016].end 5696.15346875
transcript.pyannote[1017].speaker SPEAKER_08
transcript.pyannote[1017].start 5694.22971875
transcript.pyannote[1017].end 5697.25034375
transcript.pyannote[1018].speaker SPEAKER_06
transcript.pyannote[1018].start 5697.25034375
transcript.pyannote[1018].end 5713.36596875
transcript.pyannote[1019].speaker SPEAKER_08
transcript.pyannote[1019].start 5697.28409375
transcript.pyannote[1019].end 5697.87471875
transcript.pyannote[1020].speaker SPEAKER_08
transcript.pyannote[1020].start 5701.46909375
transcript.pyannote[1020].end 5703.22409375
transcript.pyannote[1021].speaker SPEAKER_06
transcript.pyannote[1021].start 5713.58534375
transcript.pyannote[1021].end 5715.03659375
transcript.pyannote[1022].speaker SPEAKER_06
transcript.pyannote[1022].start 5715.37409375
transcript.pyannote[1022].end 5721.98909375
transcript.pyannote[1023].speaker SPEAKER_09
transcript.pyannote[1023].start 5719.39034375
transcript.pyannote[1023].end 5719.40721875
transcript.pyannote[1024].speaker SPEAKER_08
transcript.pyannote[1024].start 5719.40721875
transcript.pyannote[1024].end 5719.86284375
transcript.pyannote[1025].speaker SPEAKER_09
transcript.pyannote[1025].start 5721.98909375
transcript.pyannote[1025].end 5722.15784375
transcript.pyannote[1026].speaker SPEAKER_06
transcript.pyannote[1026].start 5722.15784375
transcript.pyannote[1026].end 5726.91659375
transcript.pyannote[1027].speaker SPEAKER_06
transcript.pyannote[1027].start 5727.11909375
transcript.pyannote[1027].end 5727.35534375
transcript.pyannote[1028].speaker SPEAKER_06
transcript.pyannote[1028].start 5728.30034375
transcript.pyannote[1028].end 5729.86971875
transcript.pyannote[1029].speaker SPEAKER_06
transcript.pyannote[1029].start 5730.29159375
transcript.pyannote[1029].end 5731.62471875
transcript.pyannote[1030].speaker SPEAKER_06
transcript.pyannote[1030].start 5732.40096875
transcript.pyannote[1030].end 5734.34159375
transcript.pyannote[1031].speaker SPEAKER_06
transcript.pyannote[1031].start 5734.54409375
transcript.pyannote[1031].end 5736.01221875
transcript.pyannote[1032].speaker SPEAKER_06
transcript.pyannote[1032].start 5736.38346875
transcript.pyannote[1032].end 5738.42534375
transcript.pyannote[1033].speaker SPEAKER_06
transcript.pyannote[1033].start 5738.99909375
transcript.pyannote[1033].end 5756.05971875
transcript.pyannote[1034].speaker SPEAKER_06
transcript.pyannote[1034].start 5756.17784375
transcript.pyannote[1034].end 5760.32909375
transcript.pyannote[1035].speaker SPEAKER_06
transcript.pyannote[1035].start 5761.20659375
transcript.pyannote[1035].end 5762.43846875
transcript.pyannote[1036].speaker SPEAKER_06
transcript.pyannote[1036].start 5762.72534375
transcript.pyannote[1036].end 5762.97846875
transcript.pyannote[1037].speaker SPEAKER_06
transcript.pyannote[1037].start 5763.51846875
transcript.pyannote[1037].end 5766.10034375
transcript.pyannote[1038].speaker SPEAKER_06
transcript.pyannote[1038].start 5766.42096875
transcript.pyannote[1038].end 5767.92284375
transcript.pyannote[1039].speaker SPEAKER_06
transcript.pyannote[1039].start 5768.78346875
transcript.pyannote[1039].end 5771.01096875
transcript.pyannote[1040].speaker SPEAKER_06
transcript.pyannote[1040].start 5771.23034375
transcript.pyannote[1040].end 5774.20034375
transcript.pyannote[1041].speaker SPEAKER_06
transcript.pyannote[1041].start 5776.29284375
transcript.pyannote[1041].end 5776.61346875
transcript.pyannote[1042].speaker SPEAKER_06
transcript.pyannote[1042].start 5776.96784375
transcript.pyannote[1042].end 5778.25034375
transcript.pyannote[1043].speaker SPEAKER_06
transcript.pyannote[1043].start 5778.52034375
transcript.pyannote[1043].end 5779.56659375
transcript.pyannote[1044].speaker SPEAKER_06
transcript.pyannote[1044].start 5780.32596875
transcript.pyannote[1044].end 5781.20346875
transcript.pyannote[1045].speaker SPEAKER_06
transcript.pyannote[1045].start 5781.76034375
transcript.pyannote[1045].end 5782.06409375
transcript.pyannote[1046].speaker SPEAKER_06
transcript.pyannote[1046].start 5782.31721875
transcript.pyannote[1046].end 5784.24096875
transcript.pyannote[1047].speaker SPEAKER_06
transcript.pyannote[1047].start 5784.98346875
transcript.pyannote[1047].end 5785.27034375
transcript.pyannote[1048].speaker SPEAKER_06
transcript.pyannote[1048].start 5785.43909375
transcript.pyannote[1048].end 5786.29971875
transcript.pyannote[1049].speaker SPEAKER_06
transcript.pyannote[1049].start 5786.85659375
transcript.pyannote[1049].end 5786.90721875
transcript.pyannote[1050].speaker SPEAKER_06
transcript.pyannote[1050].start 5787.53159375
transcript.pyannote[1050].end 5790.36659375
transcript.pyannote[1051].speaker SPEAKER_06
transcript.pyannote[1051].start 5790.92346875
transcript.pyannote[1051].end 5794.23096875
transcript.pyannote[1052].speaker SPEAKER_06
transcript.pyannote[1052].start 5795.14221875
transcript.pyannote[1052].end 5798.46659375
transcript.pyannote[1053].speaker SPEAKER_06
transcript.pyannote[1053].start 5799.02346875
transcript.pyannote[1053].end 5804.98034375
transcript.pyannote[1054].speaker SPEAKER_06
transcript.pyannote[1054].start 5806.00971875
transcript.pyannote[1054].end 5808.05159375
transcript.pyannote[1055].speaker SPEAKER_06
transcript.pyannote[1055].start 5808.25409375
transcript.pyannote[1055].end 5809.87409375
transcript.pyannote[1056].speaker SPEAKER_06
transcript.pyannote[1056].start 5810.68409375
transcript.pyannote[1056].end 5813.58659375
transcript.pyannote[1057].speaker SPEAKER_08
transcript.pyannote[1057].start 5812.15221875
transcript.pyannote[1057].end 5812.96221875
transcript.pyannote[1058].speaker SPEAKER_06
transcript.pyannote[1058].start 5814.16034375
transcript.pyannote[1058].end 5814.51471875
transcript.pyannote[1059].speaker SPEAKER_06
transcript.pyannote[1059].start 5814.91971875
transcript.pyannote[1059].end 5816.79284375
transcript.pyannote[1060].speaker SPEAKER_06
transcript.pyannote[1060].start 5816.89409375
transcript.pyannote[1060].end 5819.35784375
transcript.pyannote[1061].speaker SPEAKER_06
transcript.pyannote[1061].start 5819.77971875
transcript.pyannote[1061].end 5820.74159375
transcript.pyannote[1062].speaker SPEAKER_06
transcript.pyannote[1062].start 5822.05784375
transcript.pyannote[1062].end 5824.23471875
transcript.pyannote[1063].speaker SPEAKER_06
transcript.pyannote[1063].start 5824.47096875
transcript.pyannote[1063].end 5826.19221875
transcript.pyannote[1064].speaker SPEAKER_06
transcript.pyannote[1064].start 5826.34409375
transcript.pyannote[1064].end 5827.54221875
transcript.pyannote[1065].speaker SPEAKER_06
transcript.pyannote[1065].start 5827.72784375
transcript.pyannote[1065].end 5828.70659375
transcript.pyannote[1066].speaker SPEAKER_06
transcript.pyannote[1066].start 5829.83721875
transcript.pyannote[1066].end 5831.35596875
transcript.pyannote[1067].speaker SPEAKER_06
transcript.pyannote[1067].start 5832.35159375
transcript.pyannote[1067].end 5834.10659375
transcript.pyannote[1068].speaker SPEAKER_06
transcript.pyannote[1068].start 5834.61284375
transcript.pyannote[1068].end 5835.37221875
transcript.pyannote[1069].speaker SPEAKER_06
transcript.pyannote[1069].start 5836.21596875
transcript.pyannote[1069].end 5836.73909375
transcript.pyannote[1070].speaker SPEAKER_06
transcript.pyannote[1070].start 5837.93721875
transcript.pyannote[1070].end 5839.84409375
transcript.pyannote[1071].speaker SPEAKER_06
transcript.pyannote[1071].start 5840.99159375
transcript.pyannote[1071].end 5844.95721875
transcript.pyannote[1072].speaker SPEAKER_08
transcript.pyannote[1072].start 5841.09284375
transcript.pyannote[1072].end 5841.43034375
transcript.pyannote[1073].speaker SPEAKER_08
transcript.pyannote[1073].start 5842.42596875
transcript.pyannote[1073].end 5844.29909375
transcript.pyannote[1074].speaker SPEAKER_08
transcript.pyannote[1074].start 5845.36221875
transcript.pyannote[1074].end 5851.38659375
transcript.pyannote[1075].speaker SPEAKER_06
transcript.pyannote[1075].start 5847.60659375
transcript.pyannote[1075].end 5850.52596875
transcript.pyannote[1076].speaker SPEAKER_06
transcript.pyannote[1076].start 5851.38659375
transcript.pyannote[1076].end 5853.24284375
transcript.pyannote[1077].speaker SPEAKER_08
transcript.pyannote[1077].start 5851.40346875
transcript.pyannote[1077].end 5854.54221875
transcript.pyannote[1078].speaker SPEAKER_06
transcript.pyannote[1078].start 5853.66471875
transcript.pyannote[1078].end 5855.72346875
transcript.pyannote[1079].speaker SPEAKER_06
transcript.pyannote[1079].start 5856.06096875
transcript.pyannote[1079].end 5860.24596875
transcript.pyannote[1080].speaker SPEAKER_06
transcript.pyannote[1080].start 5860.68471875
transcript.pyannote[1080].end 5863.03034375
transcript.pyannote[1081].speaker SPEAKER_08
transcript.pyannote[1081].start 5863.43534375
transcript.pyannote[1081].end 5864.73471875
transcript.pyannote[1082].speaker SPEAKER_08
transcript.pyannote[1082].start 5865.13971875
transcript.pyannote[1082].end 5866.65846875
transcript.pyannote[1083].speaker SPEAKER_08
transcript.pyannote[1083].start 5866.81034375
transcript.pyannote[1083].end 5867.09721875
transcript.pyannote[1084].speaker SPEAKER_08
transcript.pyannote[1084].start 5867.45159375
transcript.pyannote[1084].end 5867.95784375
transcript.pyannote[1085].speaker SPEAKER_08
transcript.pyannote[1085].start 5868.00846875
transcript.pyannote[1085].end 5868.02534375
transcript.pyannote[1086].speaker SPEAKER_08
transcript.pyannote[1086].start 5868.04221875
transcript.pyannote[1086].end 5869.72971875
transcript.pyannote[1087].speaker SPEAKER_06
transcript.pyannote[1087].start 5869.72971875
transcript.pyannote[1087].end 5870.80971875
transcript.pyannote[1088].speaker SPEAKER_08
transcript.pyannote[1088].start 5870.69159375
transcript.pyannote[1088].end 5870.70846875
transcript.pyannote[1089].speaker SPEAKER_08
transcript.pyannote[1089].start 5870.72534375
transcript.pyannote[1089].end 5870.79284375
transcript.pyannote[1090].speaker SPEAKER_09
transcript.pyannote[1090].start 5870.80971875
transcript.pyannote[1090].end 5870.94471875
transcript.pyannote[1091].speaker SPEAKER_08
transcript.pyannote[1091].start 5870.94471875
transcript.pyannote[1091].end 5871.09659375
transcript.pyannote[1092].speaker SPEAKER_06
transcript.pyannote[1092].start 5870.94471875
transcript.pyannote[1092].end 5875.06221875
transcript.pyannote[1093].speaker SPEAKER_09
transcript.pyannote[1093].start 5871.09659375
transcript.pyannote[1093].end 5871.13034375
transcript.pyannote[1094].speaker SPEAKER_08
transcript.pyannote[1094].start 5876.00721875
transcript.pyannote[1094].end 5887.17846875
transcript.pyannote[1095].speaker SPEAKER_06
transcript.pyannote[1095].start 5878.52159375
transcript.pyannote[1095].end 5881.12034375
transcript.pyannote[1096].speaker SPEAKER_06
transcript.pyannote[1096].start 5885.55846875
transcript.pyannote[1096].end 5890.78971875
transcript.pyannote[1097].speaker SPEAKER_08
transcript.pyannote[1097].start 5887.31346875
transcript.pyannote[1097].end 5887.63409375
transcript.pyannote[1098].speaker SPEAKER_06
transcript.pyannote[1098].start 5891.05971875
transcript.pyannote[1098].end 5892.24096875
transcript.pyannote[1099].speaker SPEAKER_06
transcript.pyannote[1099].start 5892.64596875
transcript.pyannote[1099].end 5894.63721875
transcript.pyannote[1100].speaker SPEAKER_06
transcript.pyannote[1100].start 5896.10534375
transcript.pyannote[1100].end 5897.42159375
transcript.pyannote[1101].speaker SPEAKER_06
transcript.pyannote[1101].start 5898.26534375
transcript.pyannote[1101].end 5899.59846875
transcript.pyannote[1102].speaker SPEAKER_06
transcript.pyannote[1102].start 5900.02034375
transcript.pyannote[1102].end 5901.28596875
transcript.pyannote[1103].speaker SPEAKER_06
transcript.pyannote[1103].start 5902.63596875
transcript.pyannote[1103].end 5904.01971875
transcript.pyannote[1104].speaker SPEAKER_06
transcript.pyannote[1104].start 5904.55971875
transcript.pyannote[1104].end 5906.14596875
transcript.pyannote[1105].speaker SPEAKER_06
transcript.pyannote[1105].start 5906.85471875
transcript.pyannote[1105].end 5908.35659375
transcript.pyannote[1106].speaker SPEAKER_06
transcript.pyannote[1106].start 5909.09909375
transcript.pyannote[1106].end 5910.21284375
transcript.pyannote[1107].speaker SPEAKER_06
transcript.pyannote[1107].start 5910.58409375
transcript.pyannote[1107].end 5913.03096875
transcript.pyannote[1108].speaker SPEAKER_06
transcript.pyannote[1108].start 5913.63846875
transcript.pyannote[1108].end 5921.19846875
transcript.pyannote[1109].speaker SPEAKER_06
transcript.pyannote[1109].start 5921.82284375
transcript.pyannote[1109].end 5925.11346875
transcript.pyannote[1110].speaker SPEAKER_06
transcript.pyannote[1110].start 5925.16409375
transcript.pyannote[1110].end 5926.34534375
transcript.pyannote[1111].speaker SPEAKER_06
transcript.pyannote[1111].start 5927.49284375
transcript.pyannote[1111].end 5929.70346875
transcript.pyannote[1112].speaker SPEAKER_06
transcript.pyannote[1112].start 5931.13784375
transcript.pyannote[1112].end 5934.41159375
transcript.pyannote[1113].speaker SPEAKER_06
transcript.pyannote[1113].start 5934.76596875
transcript.pyannote[1113].end 5941.02659375
transcript.pyannote[1114].speaker SPEAKER_06
transcript.pyannote[1114].start 5941.87034375
transcript.pyannote[1114].end 5943.03471875
transcript.pyannote[1115].speaker SPEAKER_06
transcript.pyannote[1115].start 5943.38909375
transcript.pyannote[1115].end 5944.16534375
transcript.pyannote[1116].speaker SPEAKER_06
transcript.pyannote[1116].start 5945.56596875
transcript.pyannote[1116].end 5949.75096875
transcript.pyannote[1117].speaker SPEAKER_06
transcript.pyannote[1117].start 5950.44284375
transcript.pyannote[1117].end 5952.36659375
transcript.pyannote[1118].speaker SPEAKER_06
transcript.pyannote[1118].start 5952.61971875
transcript.pyannote[1118].end 5953.76721875
transcript.pyannote[1119].speaker SPEAKER_06
transcript.pyannote[1119].start 5953.93596875
transcript.pyannote[1119].end 5954.96534375
transcript.pyannote[1120].speaker SPEAKER_08
transcript.pyannote[1120].start 5954.96534375
transcript.pyannote[1120].end 5957.24346875
transcript.pyannote[1121].speaker SPEAKER_06
transcript.pyannote[1121].start 5958.10409375
transcript.pyannote[1121].end 5960.46659375
transcript.pyannote[1122].speaker SPEAKER_06
transcript.pyannote[1122].start 5960.51721875
transcript.pyannote[1122].end 5960.97284375
transcript.pyannote[1123].speaker SPEAKER_08
transcript.pyannote[1123].start 5960.65221875
transcript.pyannote[1123].end 5960.92221875
transcript.pyannote[1124].speaker SPEAKER_08
transcript.pyannote[1124].start 5960.97284375
transcript.pyannote[1124].end 5961.09096875
transcript.pyannote[1125].speaker SPEAKER_06
transcript.pyannote[1125].start 5961.09096875
transcript.pyannote[1125].end 5961.19221875
transcript.pyannote[1126].speaker SPEAKER_08
transcript.pyannote[1126].start 5961.19221875
transcript.pyannote[1126].end 5961.71534375
transcript.pyannote[1127].speaker SPEAKER_06
transcript.pyannote[1127].start 5961.71534375
transcript.pyannote[1127].end 5965.46159375
transcript.pyannote[1128].speaker SPEAKER_08
transcript.pyannote[1128].start 5962.01909375
transcript.pyannote[1128].end 5966.35596875
transcript.pyannote[1129].speaker SPEAKER_06
transcript.pyannote[1129].start 5966.35596875
transcript.pyannote[1129].end 5968.53284375
transcript.pyannote[1130].speaker SPEAKER_08
transcript.pyannote[1130].start 5967.84096875
transcript.pyannote[1130].end 5970.92909375
transcript.pyannote[1131].speaker SPEAKER_06
transcript.pyannote[1131].start 5970.18659375
transcript.pyannote[1131].end 5974.96221875
transcript.pyannote[1132].speaker SPEAKER_08
transcript.pyannote[1132].start 5971.84034375
transcript.pyannote[1132].end 5973.84846875
transcript.pyannote[1133].speaker SPEAKER_08
transcript.pyannote[1133].start 5974.96221875
transcript.pyannote[1133].end 5978.52284375
transcript.pyannote[1134].speaker SPEAKER_06
transcript.pyannote[1134].start 5976.90284375
transcript.pyannote[1134].end 5980.17659375
transcript.pyannote[1135].speaker SPEAKER_08
transcript.pyannote[1135].start 5980.85159375
transcript.pyannote[1135].end 5981.03721875
transcript.pyannote[1136].speaker SPEAKER_06
transcript.pyannote[1136].start 5981.03721875
transcript.pyannote[1136].end 5987.92221875
transcript.pyannote[1137].speaker SPEAKER_08
transcript.pyannote[1137].start 5981.49284375
transcript.pyannote[1137].end 5982.03284375
transcript.pyannote[1138].speaker SPEAKER_06
transcript.pyannote[1138].start 5988.68159375
transcript.pyannote[1138].end 5989.06971875
transcript.pyannote[1139].speaker SPEAKER_06
transcript.pyannote[1139].start 5991.17909375
transcript.pyannote[1139].end 5994.89159375
transcript.pyannote[1140].speaker SPEAKER_06
transcript.pyannote[1140].start 5995.41471875
transcript.pyannote[1140].end 5995.71846875
transcript.pyannote[1141].speaker SPEAKER_06
transcript.pyannote[1141].start 5995.95471875
transcript.pyannote[1141].end 5997.55784375
transcript.pyannote[1142].speaker SPEAKER_06
transcript.pyannote[1142].start 5997.96284375
transcript.pyannote[1142].end 5999.12721875
transcript.pyannote[1143].speaker SPEAKER_06
transcript.pyannote[1143].start 6000.59534375
transcript.pyannote[1143].end 6001.38846875
transcript.pyannote[1144].speaker SPEAKER_06
transcript.pyannote[1144].start 6001.54034375
transcript.pyannote[1144].end 6004.62846875
transcript.pyannote[1145].speaker SPEAKER_06
transcript.pyannote[1145].start 6005.50596875
transcript.pyannote[1145].end 6008.69534375
transcript.pyannote[1146].speaker SPEAKER_06
transcript.pyannote[1146].start 6009.40409375
transcript.pyannote[1146].end 6009.92721875
transcript.pyannote[1147].speaker SPEAKER_06
transcript.pyannote[1147].start 6010.61909375
transcript.pyannote[1147].end 6011.17596875
transcript.pyannote[1148].speaker SPEAKER_06
transcript.pyannote[1148].start 6011.78346875
transcript.pyannote[1148].end 6014.60159375
transcript.pyannote[1149].speaker SPEAKER_06
transcript.pyannote[1149].start 6014.95596875
transcript.pyannote[1149].end 6016.50846875
transcript.pyannote[1150].speaker SPEAKER_06
transcript.pyannote[1150].start 6017.36909375
transcript.pyannote[1150].end 6020.98034375
transcript.pyannote[1151].speaker SPEAKER_06
transcript.pyannote[1151].start 6021.40221875
transcript.pyannote[1151].end 6023.81534375
transcript.pyannote[1152].speaker SPEAKER_06
transcript.pyannote[1152].start 6024.28784375
transcript.pyannote[1152].end 6026.70096875
transcript.pyannote[1153].speaker SPEAKER_06
transcript.pyannote[1153].start 6027.57846875
transcript.pyannote[1153].end 6031.49346875
transcript.pyannote[1154].speaker SPEAKER_06
transcript.pyannote[1154].start 6032.25284375
transcript.pyannote[1154].end 6033.72096875
transcript.pyannote[1155].speaker SPEAKER_06
transcript.pyannote[1155].start 6034.27784375
transcript.pyannote[1155].end 6038.59784375
transcript.pyannote[1156].speaker SPEAKER_06
transcript.pyannote[1156].start 6039.05346875
transcript.pyannote[1156].end 6041.31471875
transcript.pyannote[1157].speaker SPEAKER_06
transcript.pyannote[1157].start 6042.14159375
transcript.pyannote[1157].end 6044.70659375
transcript.pyannote[1158].speaker SPEAKER_06
transcript.pyannote[1158].start 6044.94284375
transcript.pyannote[1158].end 6045.34784375
transcript.pyannote[1159].speaker SPEAKER_06
transcript.pyannote[1159].start 6046.14096875
transcript.pyannote[1159].end 6046.81596875
transcript.pyannote[1160].speaker SPEAKER_06
transcript.pyannote[1160].start 6047.18721875
transcript.pyannote[1160].end 6049.24596875
transcript.pyannote[1161].speaker SPEAKER_06
transcript.pyannote[1161].start 6050.03909375
transcript.pyannote[1161].end 6050.61284375
transcript.pyannote[1162].speaker SPEAKER_06
transcript.pyannote[1162].start 6051.06846875
transcript.pyannote[1162].end 6051.79409375
transcript.pyannote[1163].speaker SPEAKER_06
transcript.pyannote[1163].start 6052.24971875
transcript.pyannote[1163].end 6054.02159375
transcript.pyannote[1164].speaker SPEAKER_06
transcript.pyannote[1164].start 6054.17346875
transcript.pyannote[1164].end 6055.43909375
transcript.pyannote[1165].speaker SPEAKER_06
transcript.pyannote[1165].start 6055.96221875
transcript.pyannote[1165].end 6057.02534375
transcript.pyannote[1166].speaker SPEAKER_06
transcript.pyannote[1166].start 6057.70034375
transcript.pyannote[1166].end 6062.13846875
transcript.pyannote[1167].speaker SPEAKER_06
transcript.pyannote[1167].start 6062.57721875
transcript.pyannote[1167].end 6074.98034375
transcript.pyannote[1168].speaker SPEAKER_06
transcript.pyannote[1168].start 6075.23346875
transcript.pyannote[1168].end 6078.64221875
transcript.pyannote[1169].speaker SPEAKER_06
transcript.pyannote[1169].start 6079.50284375
transcript.pyannote[1169].end 6079.80659375
transcript.pyannote[1170].speaker SPEAKER_06
transcript.pyannote[1170].start 6080.22846875
transcript.pyannote[1170].end 6082.11846875
transcript.pyannote[1171].speaker SPEAKER_06
transcript.pyannote[1171].start 6082.96221875
transcript.pyannote[1171].end 6084.76784375
transcript.pyannote[1172].speaker SPEAKER_06
transcript.pyannote[1172].start 6085.20659375
transcript.pyannote[1172].end 6085.62846875
transcript.pyannote[1173].speaker SPEAKER_06
transcript.pyannote[1173].start 6086.21909375
transcript.pyannote[1173].end 6087.58596875
transcript.pyannote[1174].speaker SPEAKER_06
transcript.pyannote[1174].start 6088.85159375
transcript.pyannote[1174].end 6089.76284375
transcript.pyannote[1175].speaker SPEAKER_06
transcript.pyannote[1175].start 6090.40409375
transcript.pyannote[1175].end 6099.88784375
transcript.pyannote[1176].speaker SPEAKER_06
transcript.pyannote[1176].start 6100.56284375
transcript.pyannote[1176].end 6100.93409375
transcript.pyannote[1177].speaker SPEAKER_06
transcript.pyannote[1177].start 6101.77784375
transcript.pyannote[1177].end 6104.83221875
transcript.pyannote[1178].speaker SPEAKER_06
transcript.pyannote[1178].start 6105.13596875
transcript.pyannote[1178].end 6105.72659375
transcript.pyannote[1179].speaker SPEAKER_08
transcript.pyannote[1179].start 6105.97971875
transcript.pyannote[1179].end 6107.56596875
transcript.pyannote[1180].speaker SPEAKER_08
transcript.pyannote[1180].start 6107.93721875
transcript.pyannote[1180].end 6113.75909375
transcript.pyannote[1181].speaker SPEAKER_06
transcript.pyannote[1181].start 6112.54409375
transcript.pyannote[1181].end 6116.72909375
transcript.pyannote[1182].speaker SPEAKER_08
transcript.pyannote[1182].start 6116.72909375
transcript.pyannote[1182].end 6116.77971875
transcript.pyannote[1183].speaker SPEAKER_06
transcript.pyannote[1183].start 6116.77971875
transcript.pyannote[1183].end 6116.81346875
transcript.pyannote[1184].speaker SPEAKER_08
transcript.pyannote[1184].start 6116.81346875
transcript.pyannote[1184].end 6116.89784375
transcript.pyannote[1185].speaker SPEAKER_06
transcript.pyannote[1185].start 6116.89784375
transcript.pyannote[1185].end 6116.96534375
transcript.pyannote[1186].speaker SPEAKER_08
transcript.pyannote[1186].start 6116.96534375
transcript.pyannote[1186].end 6116.98221875
transcript.pyannote[1187].speaker SPEAKER_06
transcript.pyannote[1187].start 6116.98221875
transcript.pyannote[1187].end 6117.01596875
transcript.pyannote[1188].speaker SPEAKER_08
transcript.pyannote[1188].start 6117.01596875
transcript.pyannote[1188].end 6131.52846875
transcript.pyannote[1189].speaker SPEAKER_06
transcript.pyannote[1189].start 6117.03284375
transcript.pyannote[1189].end 6118.16346875
transcript.pyannote[1190].speaker SPEAKER_06
transcript.pyannote[1190].start 6130.51596875
transcript.pyannote[1190].end 6140.74221875
transcript.pyannote[1191].speaker SPEAKER_09
transcript.pyannote[1191].start 6141.41721875
transcript.pyannote[1191].end 6141.70409375
transcript.pyannote[1192].speaker SPEAKER_06
transcript.pyannote[1192].start 6141.72096875
transcript.pyannote[1192].end 6147.94784375
transcript.pyannote[1193].speaker SPEAKER_06
transcript.pyannote[1193].start 6148.15034375
transcript.pyannote[1193].end 6149.14596875
transcript.pyannote[1194].speaker SPEAKER_06
transcript.pyannote[1194].start 6149.87159375
transcript.pyannote[1194].end 6151.98096875
transcript.pyannote[1195].speaker SPEAKER_06
transcript.pyannote[1195].start 6152.70659375
transcript.pyannote[1195].end 6153.53346875
transcript.pyannote[1196].speaker SPEAKER_06
transcript.pyannote[1196].start 6154.19159375
transcript.pyannote[1196].end 6154.84971875
transcript.pyannote[1197].speaker SPEAKER_06
transcript.pyannote[1197].start 6155.74409375
transcript.pyannote[1197].end 6156.95909375
transcript.pyannote[1198].speaker SPEAKER_06
transcript.pyannote[1198].start 6157.60034375
transcript.pyannote[1198].end 6159.72659375
transcript.pyannote[1199].speaker SPEAKER_06
transcript.pyannote[1199].start 6160.03034375
transcript.pyannote[1199].end 6160.99221875
transcript.pyannote[1200].speaker SPEAKER_06
transcript.pyannote[1200].start 6161.43096875
transcript.pyannote[1200].end 6165.34596875
transcript.pyannote[1201].speaker SPEAKER_08
transcript.pyannote[1201].start 6165.85221875
transcript.pyannote[1201].end 6168.88971875
transcript.pyannote[1202].speaker SPEAKER_08
transcript.pyannote[1202].start 6169.39596875
transcript.pyannote[1202].end 6177.10784375
transcript.pyannote[1203].speaker SPEAKER_06
transcript.pyannote[1203].start 6176.12909375
transcript.pyannote[1203].end 6190.59096875
transcript.pyannote[1204].speaker SPEAKER_08
transcript.pyannote[1204].start 6180.93846875
transcript.pyannote[1204].end 6184.02659375
transcript.pyannote[1205].speaker SPEAKER_09
transcript.pyannote[1205].start 6184.02659375
transcript.pyannote[1205].end 6184.71846875
transcript.pyannote[1206].speaker SPEAKER_08
transcript.pyannote[1206].start 6184.71846875
transcript.pyannote[1206].end 6184.80284375
transcript.pyannote[1207].speaker SPEAKER_06
transcript.pyannote[1207].start 6191.13096875
transcript.pyannote[1207].end 6192.39659375
transcript.pyannote[1208].speaker SPEAKER_09
transcript.pyannote[1208].start 6192.39659375
transcript.pyannote[1208].end 6192.83534375
transcript.pyannote[1209].speaker SPEAKER_06
transcript.pyannote[1209].start 6192.56534375
transcript.pyannote[1209].end 6194.20221875
transcript.pyannote[1210].speaker SPEAKER_09
transcript.pyannote[1210].start 6194.38784375
transcript.pyannote[1210].end 6194.55659375
transcript.pyannote[1211].speaker SPEAKER_06
transcript.pyannote[1211].start 6194.79284375
transcript.pyannote[1211].end 6197.00346875
transcript.pyannote[1212].speaker SPEAKER_06
transcript.pyannote[1212].start 6197.39159375
transcript.pyannote[1212].end 6198.31971875
transcript.pyannote[1213].speaker SPEAKER_06
transcript.pyannote[1213].start 6198.80909375
transcript.pyannote[1213].end 6199.97346875
transcript.pyannote[1214].speaker SPEAKER_06
transcript.pyannote[1214].start 6200.27721875
transcript.pyannote[1214].end 6202.89284375
transcript.pyannote[1215].speaker SPEAKER_06
transcript.pyannote[1215].start 6203.43284375
transcript.pyannote[1215].end 6206.70659375
transcript.pyannote[1216].speaker SPEAKER_06
transcript.pyannote[1216].start 6207.17909375
transcript.pyannote[1216].end 6210.48659375
transcript.pyannote[1217].speaker SPEAKER_06
transcript.pyannote[1217].start 6211.27971875
transcript.pyannote[1217].end 6215.59971875
transcript.pyannote[1218].speaker SPEAKER_06
transcript.pyannote[1218].start 6216.12284375
transcript.pyannote[1218].end 6222.31596875
transcript.pyannote[1219].speaker SPEAKER_06
transcript.pyannote[1219].start 6223.04159375
transcript.pyannote[1219].end 6234.43221875
transcript.pyannote[1220].speaker SPEAKER_08
transcript.pyannote[1220].start 6234.82034375
transcript.pyannote[1220].end 6234.83721875
transcript.pyannote[1221].speaker SPEAKER_06
transcript.pyannote[1221].start 6234.83721875
transcript.pyannote[1221].end 6235.12409375
transcript.pyannote[1222].speaker SPEAKER_06
transcript.pyannote[1222].start 6235.83284375
transcript.pyannote[1222].end 6236.25471875
transcript.pyannote[1223].speaker SPEAKER_06
transcript.pyannote[1223].start 6236.49096875
transcript.pyannote[1223].end 6236.87909375
transcript.pyannote[1224].speaker SPEAKER_06
transcript.pyannote[1224].start 6237.23346875
transcript.pyannote[1224].end 6244.27034375
transcript.pyannote[1225].speaker SPEAKER_06
transcript.pyannote[1225].start 6244.60784375
transcript.pyannote[1225].end 6245.94096875
transcript.pyannote[1226].speaker SPEAKER_06
transcript.pyannote[1226].start 6246.07596875
transcript.pyannote[1226].end 6259.96409375
transcript.pyannote[1227].speaker SPEAKER_08
transcript.pyannote[1227].start 6260.57159375
transcript.pyannote[1227].end 6260.95971875
transcript.pyannote[1228].speaker SPEAKER_08
transcript.pyannote[1228].start 6261.31409375
transcript.pyannote[1228].end 6262.03971875
transcript.pyannote[1229].speaker SPEAKER_06
transcript.pyannote[1229].start 6262.20846875
transcript.pyannote[1229].end 6262.91721875
transcript.pyannote[1230].speaker SPEAKER_06
transcript.pyannote[1230].start 6263.86221875
transcript.pyannote[1230].end 6265.61721875
transcript.pyannote[1231].speaker SPEAKER_08
transcript.pyannote[1231].start 6265.87034375
transcript.pyannote[1231].end 6266.69721875
transcript.pyannote[1232].speaker SPEAKER_06
transcript.pyannote[1232].start 6266.69721875
transcript.pyannote[1232].end 6270.02159375
transcript.pyannote[1233].speaker SPEAKER_06
transcript.pyannote[1233].start 6270.93284375
transcript.pyannote[1233].end 6271.42221875
transcript.pyannote[1234].speaker SPEAKER_08
transcript.pyannote[1234].start 6271.35471875
transcript.pyannote[1234].end 6271.38846875
transcript.pyannote[1235].speaker SPEAKER_08
transcript.pyannote[1235].start 6271.42221875
transcript.pyannote[1235].end 6272.09721875
transcript.pyannote[1236].speaker SPEAKER_06
transcript.pyannote[1236].start 6272.28284375
transcript.pyannote[1236].end 6273.39659375
transcript.pyannote[1237].speaker SPEAKER_02
transcript.pyannote[1237].start 6273.07596875
transcript.pyannote[1237].end 6273.41346875
transcript.pyannote[1238].speaker SPEAKER_08
transcript.pyannote[1238].start 6273.39659375
transcript.pyannote[1238].end 6274.64534375
transcript.pyannote[1239].speaker SPEAKER_02
transcript.pyannote[1239].start 6274.79721875
transcript.pyannote[1239].end 6274.81409375
transcript.pyannote[1240].speaker SPEAKER_08
transcript.pyannote[1240].start 6274.81409375
transcript.pyannote[1240].end 6274.83096875
transcript.pyannote[1241].speaker SPEAKER_02
transcript.pyannote[1241].start 6274.83096875
transcript.pyannote[1241].end 6274.84784375
transcript.pyannote[1242].speaker SPEAKER_08
transcript.pyannote[1242].start 6274.84784375
transcript.pyannote[1242].end 6274.89846875
transcript.pyannote[1243].speaker SPEAKER_02
transcript.pyannote[1243].start 6274.89846875
transcript.pyannote[1243].end 6274.94909375
transcript.pyannote[1244].speaker SPEAKER_06
transcript.pyannote[1244].start 6274.94909375
transcript.pyannote[1244].end 6274.96596875
transcript.pyannote[1245].speaker SPEAKER_02
transcript.pyannote[1245].start 6274.96596875
transcript.pyannote[1245].end 6276.04596875
transcript.pyannote[1246].speaker SPEAKER_02
transcript.pyannote[1246].start 6276.80534375
transcript.pyannote[1246].end 6280.92284375
transcript.pyannote[1247].speaker SPEAKER_02
transcript.pyannote[1247].start 6287.57159375
transcript.pyannote[1247].end 6289.00596875
transcript.pyannote[1248].speaker SPEAKER_02
transcript.pyannote[1248].start 6289.12409375
transcript.pyannote[1248].end 6289.39409375
transcript.pyannote[1249].speaker SPEAKER_02
transcript.pyannote[1249].start 6290.74409375
transcript.pyannote[1249].end 6293.93346875
transcript.pyannote[1250].speaker SPEAKER_02
transcript.pyannote[1250].start 6298.05096875
transcript.pyannote[1250].end 6302.59034375
transcript.pyannote[1251].speaker SPEAKER_02
transcript.pyannote[1251].start 6302.74221875
transcript.pyannote[1251].end 6304.15971875
transcript.pyannote[1252].speaker SPEAKER_04
transcript.pyannote[1252].start 6308.47971875
transcript.pyannote[1252].end 6311.63534375
transcript.pyannote[1253].speaker SPEAKER_04
transcript.pyannote[1253].start 6311.83784375
transcript.pyannote[1253].end 6313.00221875
transcript.pyannote[1254].speaker SPEAKER_04
transcript.pyannote[1254].start 6313.49159375
transcript.pyannote[1254].end 6314.58846875
transcript.pyannote[1255].speaker SPEAKER_04
transcript.pyannote[1255].start 6315.14534375
transcript.pyannote[1255].end 6315.70221875
transcript.pyannote[1256].speaker SPEAKER_02
transcript.pyannote[1256].start 6315.24659375
transcript.pyannote[1256].end 6316.91721875
transcript.pyannote[1257].speaker SPEAKER_08
transcript.pyannote[1257].start 6323.66721875
transcript.pyannote[1257].end 6324.35909375
transcript.pyannote[1258].speaker SPEAKER_04
transcript.pyannote[1258].start 6325.62471875
transcript.pyannote[1258].end 6328.84784375
transcript.pyannote[1259].speaker SPEAKER_04
transcript.pyannote[1259].start 6331.12596875
transcript.pyannote[1259].end 6331.71659375
transcript.pyannote[1260].speaker SPEAKER_04
transcript.pyannote[1260].start 6332.44221875
transcript.pyannote[1260].end 6333.74159375
transcript.pyannote[1261].speaker SPEAKER_04
transcript.pyannote[1261].start 6335.81721875
transcript.pyannote[1261].end 6336.50909375
transcript.pyannote[1262].speaker SPEAKER_04
transcript.pyannote[1262].start 6337.01534375
transcript.pyannote[1262].end 6338.29784375
transcript.pyannote[1263].speaker SPEAKER_04
transcript.pyannote[1263].start 6339.22596875
transcript.pyannote[1263].end 6340.77846875
transcript.pyannote[1264].speaker SPEAKER_04
transcript.pyannote[1264].start 6341.74034375
transcript.pyannote[1264].end 6343.96784375
transcript.pyannote[1265].speaker SPEAKER_04
transcript.pyannote[1265].start 6345.03096875
transcript.pyannote[1265].end 6346.97159375
transcript.pyannote[1266].speaker SPEAKER_04
transcript.pyannote[1266].start 6347.71409375
transcript.pyannote[1266].end 6348.62534375
transcript.pyannote[1267].speaker SPEAKER_04
transcript.pyannote[1267].start 6349.60409375
transcript.pyannote[1267].end 6351.07221875
transcript.pyannote[1268].speaker SPEAKER_04
transcript.pyannote[1268].start 6351.51096875
transcript.pyannote[1268].end 6352.25346875
transcript.pyannote[1269].speaker SPEAKER_04
transcript.pyannote[1269].start 6352.99596875
transcript.pyannote[1269].end 6353.70471875
transcript.pyannote[1270].speaker SPEAKER_04
transcript.pyannote[1270].start 6354.80159375
transcript.pyannote[1270].end 6356.64096875
transcript.pyannote[1271].speaker SPEAKER_04
transcript.pyannote[1271].start 6357.61971875
transcript.pyannote[1271].end 6358.91909375
transcript.pyannote[1272].speaker SPEAKER_04
transcript.pyannote[1272].start 6360.10034375
transcript.pyannote[1272].end 6362.85096875
transcript.pyannote[1273].speaker SPEAKER_04
transcript.pyannote[1273].start 6363.35721875
transcript.pyannote[1273].end 6367.15409375
transcript.pyannote[1274].speaker SPEAKER_08
transcript.pyannote[1274].start 6367.62659375
transcript.pyannote[1274].end 6370.51221875
transcript.pyannote[1275].speaker SPEAKER_08
transcript.pyannote[1275].start 6371.38971875
transcript.pyannote[1275].end 6372.23346875
transcript.pyannote[1276].speaker SPEAKER_08
transcript.pyannote[1276].start 6372.48659375
transcript.pyannote[1276].end 6373.26284375
transcript.pyannote[1277].speaker SPEAKER_08
transcript.pyannote[1277].start 6373.53284375
transcript.pyannote[1277].end 6376.31721875
transcript.pyannote[1278].speaker SPEAKER_04
transcript.pyannote[1278].start 6377.04284375
transcript.pyannote[1278].end 6378.15659375
transcript.pyannote[1279].speaker SPEAKER_08
transcript.pyannote[1279].start 6378.22409375
transcript.pyannote[1279].end 6379.52346875
transcript.pyannote[1280].speaker SPEAKER_08
transcript.pyannote[1280].start 6379.67534375
transcript.pyannote[1280].end 6381.34596875
transcript.pyannote[1281].speaker SPEAKER_08
transcript.pyannote[1281].start 6381.43034375
transcript.pyannote[1281].end 6383.96159375
transcript.pyannote[1282].speaker SPEAKER_04
transcript.pyannote[1282].start 6385.91909375
transcript.pyannote[1282].end 6386.86409375
transcript.pyannote[1283].speaker SPEAKER_04
transcript.pyannote[1283].start 6387.30284375
transcript.pyannote[1283].end 6388.06221875
transcript.pyannote[1284].speaker SPEAKER_08
transcript.pyannote[1284].start 6388.97346875
transcript.pyannote[1284].end 6389.59784375
transcript.pyannote[1285].speaker SPEAKER_08
transcript.pyannote[1285].start 6389.98596875
transcript.pyannote[1285].end 6401.57909375
transcript.pyannote[1286].speaker SPEAKER_04
transcript.pyannote[1286].start 6390.37409375
transcript.pyannote[1286].end 6390.50909375
transcript.pyannote[1287].speaker SPEAKER_04
transcript.pyannote[1287].start 6394.32284375
transcript.pyannote[1287].end 6394.40721875
transcript.pyannote[1288].speaker SPEAKER_04
transcript.pyannote[1288].start 6402.06846875
transcript.pyannote[1288].end 6403.03034375
transcript.pyannote[1289].speaker SPEAKER_08
transcript.pyannote[1289].start 6403.72221875
transcript.pyannote[1289].end 6404.41409375
transcript.pyannote[1290].speaker SPEAKER_08
transcript.pyannote[1290].start 6404.53221875
transcript.pyannote[1290].end 6410.67471875
transcript.pyannote[1291].speaker SPEAKER_08
transcript.pyannote[1291].start 6411.36659375
transcript.pyannote[1291].end 6412.46346875
transcript.pyannote[1292].speaker SPEAKER_04
transcript.pyannote[1292].start 6412.98659375
transcript.pyannote[1292].end 6413.42534375
transcript.pyannote[1293].speaker SPEAKER_08
transcript.pyannote[1293].start 6414.10034375
transcript.pyannote[1293].end 6424.96784375
transcript.pyannote[1294].speaker SPEAKER_04
transcript.pyannote[1294].start 6423.85409375
transcript.pyannote[1294].end 6425.27159375
transcript.pyannote[1295].speaker SPEAKER_08
transcript.pyannote[1295].start 6425.59221875
transcript.pyannote[1295].end 6425.84534375
transcript.pyannote[1296].speaker SPEAKER_04
transcript.pyannote[1296].start 6425.84534375
transcript.pyannote[1296].end 6428.00534375
transcript.pyannote[1297].speaker SPEAKER_04
transcript.pyannote[1297].start 6428.17409375
transcript.pyannote[1297].end 6430.26659375
transcript.pyannote[1298].speaker SPEAKER_04
transcript.pyannote[1298].start 6431.04284375
transcript.pyannote[1298].end 6434.01284375
transcript.pyannote[1299].speaker SPEAKER_04
transcript.pyannote[1299].start 6435.34596875
transcript.pyannote[1299].end 6437.57346875
transcript.pyannote[1300].speaker SPEAKER_08
transcript.pyannote[1300].start 6435.54846875
transcript.pyannote[1300].end 6436.56096875
transcript.pyannote[1301].speaker SPEAKER_04
transcript.pyannote[1301].start 6438.07971875
transcript.pyannote[1301].end 6438.99096875
transcript.pyannote[1302].speaker SPEAKER_04
transcript.pyannote[1302].start 6439.58159375
transcript.pyannote[1302].end 6444.54284375
transcript.pyannote[1303].speaker SPEAKER_04
transcript.pyannote[1303].start 6444.96471875
transcript.pyannote[1303].end 6446.46659375
transcript.pyannote[1304].speaker SPEAKER_04
transcript.pyannote[1304].start 6446.87159375
transcript.pyannote[1304].end 6447.46221875
transcript.pyannote[1305].speaker SPEAKER_04
transcript.pyannote[1305].start 6447.71534375
transcript.pyannote[1305].end 6448.59284375
transcript.pyannote[1306].speaker SPEAKER_04
transcript.pyannote[1306].start 6449.04846875
transcript.pyannote[1306].end 6449.58846875
transcript.pyannote[1307].speaker SPEAKER_04
transcript.pyannote[1307].start 6449.92596875
transcript.pyannote[1307].end 6450.39846875
transcript.pyannote[1308].speaker SPEAKER_04
transcript.pyannote[1308].start 6450.73596875
transcript.pyannote[1308].end 6452.05221875
transcript.pyannote[1309].speaker SPEAKER_04
transcript.pyannote[1309].start 6452.86221875
transcript.pyannote[1309].end 6454.26284375
transcript.pyannote[1310].speaker SPEAKER_04
transcript.pyannote[1310].start 6454.73534375
transcript.pyannote[1310].end 6455.56221875
transcript.pyannote[1311].speaker SPEAKER_04
transcript.pyannote[1311].start 6456.27096875
transcript.pyannote[1311].end 6457.38471875
transcript.pyannote[1312].speaker SPEAKER_04
transcript.pyannote[1312].start 6458.58284375
transcript.pyannote[1312].end 6459.69659375
transcript.pyannote[1313].speaker SPEAKER_04
transcript.pyannote[1313].start 6460.69221875
transcript.pyannote[1313].end 6462.05909375
transcript.pyannote[1314].speaker SPEAKER_04
transcript.pyannote[1314].start 6463.20659375
transcript.pyannote[1314].end 6464.03346875
transcript.pyannote[1315].speaker SPEAKER_04
transcript.pyannote[1315].start 6464.10096875
transcript.pyannote[1315].end 6466.12596875
transcript.pyannote[1316].speaker SPEAKER_04
transcript.pyannote[1316].start 6466.41284375
transcript.pyannote[1316].end 6467.34096875
transcript.pyannote[1317].speaker SPEAKER_04
transcript.pyannote[1317].start 6467.93159375
transcript.pyannote[1317].end 6469.28159375
transcript.pyannote[1318].speaker SPEAKER_04
transcript.pyannote[1318].start 6470.39534375
transcript.pyannote[1318].end 6471.42471875
transcript.pyannote[1319].speaker SPEAKER_04
transcript.pyannote[1319].start 6471.64409375
transcript.pyannote[1319].end 6472.30221875
transcript.pyannote[1320].speaker SPEAKER_04
transcript.pyannote[1320].start 6474.12471875
transcript.pyannote[1320].end 6474.74909375
transcript.pyannote[1321].speaker SPEAKER_04
transcript.pyannote[1321].start 6474.98534375
transcript.pyannote[1321].end 6475.79534375
transcript.pyannote[1322].speaker SPEAKER_04
transcript.pyannote[1322].start 6475.93034375
transcript.pyannote[1322].end 6476.99346875
transcript.pyannote[1323].speaker SPEAKER_04
transcript.pyannote[1323].start 6477.90471875
transcript.pyannote[1323].end 6479.86221875
transcript.pyannote[1324].speaker SPEAKER_04
transcript.pyannote[1324].start 6480.08159375
transcript.pyannote[1324].end 6480.48659375
transcript.pyannote[1325].speaker SPEAKER_04
transcript.pyannote[1325].start 6481.16159375
transcript.pyannote[1325].end 6481.76909375
transcript.pyannote[1326].speaker SPEAKER_04
transcript.pyannote[1326].start 6482.91659375
transcript.pyannote[1326].end 6484.51971875
transcript.pyannote[1327].speaker SPEAKER_04
transcript.pyannote[1327].start 6485.07659375
transcript.pyannote[1327].end 6486.29159375
transcript.pyannote[1328].speaker SPEAKER_04
transcript.pyannote[1328].start 6486.67971875
transcript.pyannote[1328].end 6487.96221875
transcript.pyannote[1329].speaker SPEAKER_04
transcript.pyannote[1329].start 6488.80596875
transcript.pyannote[1329].end 6489.78471875
transcript.pyannote[1330].speaker SPEAKER_04
transcript.pyannote[1330].start 6489.97034375
transcript.pyannote[1330].end 6490.98284375
transcript.pyannote[1331].speaker SPEAKER_04
transcript.pyannote[1331].start 6492.01221875
transcript.pyannote[1331].end 6494.15534375
transcript.pyannote[1332].speaker SPEAKER_04
transcript.pyannote[1332].start 6494.61096875
transcript.pyannote[1332].end 6495.37034375
transcript.pyannote[1333].speaker SPEAKER_04
transcript.pyannote[1333].start 6497.26034375
transcript.pyannote[1333].end 6498.72846875
transcript.pyannote[1334].speaker SPEAKER_08
transcript.pyannote[1334].start 6499.31909375
transcript.pyannote[1334].end 6500.85471875
transcript.pyannote[1335].speaker SPEAKER_04
transcript.pyannote[1335].start 6500.36534375
transcript.pyannote[1335].end 6502.94721875
transcript.pyannote[1336].speaker SPEAKER_08
transcript.pyannote[1336].start 6501.44534375
transcript.pyannote[1336].end 6501.78284375
transcript.pyannote[1337].speaker SPEAKER_08
transcript.pyannote[1337].start 6501.95159375
transcript.pyannote[1337].end 6506.82846875
transcript.pyannote[1338].speaker SPEAKER_04
transcript.pyannote[1338].start 6504.16221875
transcript.pyannote[1338].end 6506.89596875
transcript.pyannote[1339].speaker SPEAKER_04
transcript.pyannote[1339].start 6507.11534375
transcript.pyannote[1339].end 6508.39784375
transcript.pyannote[1340].speaker SPEAKER_08
transcript.pyannote[1340].start 6508.87034375
transcript.pyannote[1340].end 6510.50721875
transcript.pyannote[1341].speaker SPEAKER_04
transcript.pyannote[1341].start 6510.28784375
transcript.pyannote[1341].end 6511.09784375
transcript.pyannote[1342].speaker SPEAKER_08
transcript.pyannote[1342].start 6511.48596875
transcript.pyannote[1342].end 6513.10596875
transcript.pyannote[1343].speaker SPEAKER_04
transcript.pyannote[1343].start 6512.88659375
transcript.pyannote[1343].end 6513.37596875
transcript.pyannote[1344].speaker SPEAKER_04
transcript.pyannote[1344].start 6513.52784375
transcript.pyannote[1344].end 6513.61221875
transcript.pyannote[1345].speaker SPEAKER_08
transcript.pyannote[1345].start 6513.61221875
transcript.pyannote[1345].end 6517.52721875
transcript.pyannote[1346].speaker SPEAKER_04
transcript.pyannote[1346].start 6513.67971875
transcript.pyannote[1346].end 6513.96659375
transcript.pyannote[1347].speaker SPEAKER_08
transcript.pyannote[1347].start 6518.05034375
transcript.pyannote[1347].end 6524.81721875
transcript.pyannote[1348].speaker SPEAKER_04
transcript.pyannote[1348].start 6521.42534375
transcript.pyannote[1348].end 6521.98221875
transcript.pyannote[1349].speaker SPEAKER_04
transcript.pyannote[1349].start 6522.87659375
transcript.pyannote[1349].end 6524.09159375
transcript.pyannote[1350].speaker SPEAKER_04
transcript.pyannote[1350].start 6524.91846875
transcript.pyannote[1350].end 6528.02346875
transcript.pyannote[1351].speaker SPEAKER_04
transcript.pyannote[1351].start 6528.04034375
transcript.pyannote[1351].end 6529.62659375
transcript.pyannote[1352].speaker SPEAKER_04
transcript.pyannote[1352].start 6529.81221875
transcript.pyannote[1352].end 6532.27596875
transcript.pyannote[1353].speaker SPEAKER_04
transcript.pyannote[1353].start 6532.98471875
transcript.pyannote[1353].end 6533.86221875
transcript.pyannote[1354].speaker SPEAKER_04
transcript.pyannote[1354].start 6534.13221875
transcript.pyannote[1354].end 6535.22909375
transcript.pyannote[1355].speaker SPEAKER_04
transcript.pyannote[1355].start 6535.81971875
transcript.pyannote[1355].end 6535.97159375
transcript.pyannote[1356].speaker SPEAKER_08
transcript.pyannote[1356].start 6535.97159375
transcript.pyannote[1356].end 6536.86596875
transcript.pyannote[1357].speaker SPEAKER_04
transcript.pyannote[1357].start 6536.17409375
transcript.pyannote[1357].end 6537.43971875
transcript.pyannote[1358].speaker SPEAKER_08
transcript.pyannote[1358].start 6537.77721875
transcript.pyannote[1358].end 6541.86096875
transcript.pyannote[1359].speaker SPEAKER_04
transcript.pyannote[1359].start 6542.53596875
transcript.pyannote[1359].end 6543.95346875
transcript.pyannote[1360].speaker SPEAKER_04
transcript.pyannote[1360].start 6543.97034375
transcript.pyannote[1360].end 6544.03784375
transcript.pyannote[1361].speaker SPEAKER_04
transcript.pyannote[1361].start 6544.05471875
transcript.pyannote[1361].end 6546.68721875
transcript.pyannote[1362].speaker SPEAKER_04
transcript.pyannote[1362].start 6547.31159375
transcript.pyannote[1362].end 6547.36221875
transcript.pyannote[1363].speaker SPEAKER_08
transcript.pyannote[1363].start 6547.36221875
transcript.pyannote[1363].end 6547.37909375
transcript.pyannote[1364].speaker SPEAKER_04
transcript.pyannote[1364].start 6547.37909375
transcript.pyannote[1364].end 6548.74596875
transcript.pyannote[1365].speaker SPEAKER_08
transcript.pyannote[1365].start 6547.44659375
transcript.pyannote[1365].end 6550.65284375
transcript.pyannote[1366].speaker SPEAKER_08
transcript.pyannote[1366].start 6550.82159375
transcript.pyannote[1366].end 6550.90596875
transcript.pyannote[1367].speaker SPEAKER_04
transcript.pyannote[1367].start 6550.90596875
transcript.pyannote[1367].end 6552.23909375
transcript.pyannote[1368].speaker SPEAKER_08
transcript.pyannote[1368].start 6551.10846875
transcript.pyannote[1368].end 6552.50909375
transcript.pyannote[1369].speaker SPEAKER_04
transcript.pyannote[1369].start 6552.50909375
transcript.pyannote[1369].end 6555.10784375
transcript.pyannote[1370].speaker SPEAKER_04
transcript.pyannote[1370].start 6555.36096875
transcript.pyannote[1370].end 6556.96409375
transcript.pyannote[1371].speaker SPEAKER_08
transcript.pyannote[1371].start 6555.39471875
transcript.pyannote[1371].end 6559.19159375
transcript.pyannote[1372].speaker SPEAKER_04
transcript.pyannote[1372].start 6559.68096875
transcript.pyannote[1372].end 6560.01846875
transcript.pyannote[1373].speaker SPEAKER_08
transcript.pyannote[1373].start 6560.01846875
transcript.pyannote[1373].end 6560.17034375
transcript.pyannote[1374].speaker SPEAKER_04
transcript.pyannote[1374].start 6560.08596875
transcript.pyannote[1374].end 6560.11971875
transcript.pyannote[1375].speaker SPEAKER_04
transcript.pyannote[1375].start 6560.17034375
transcript.pyannote[1375].end 6562.48221875
transcript.pyannote[1376].speaker SPEAKER_08
transcript.pyannote[1376].start 6560.22096875
transcript.pyannote[1376].end 6560.23784375
transcript.pyannote[1377].speaker SPEAKER_04
transcript.pyannote[1377].start 6562.98846875
transcript.pyannote[1377].end 6565.53659375
transcript.pyannote[1378].speaker SPEAKER_08
transcript.pyannote[1378].start 6565.03034375
transcript.pyannote[1378].end 6572.52284375
transcript.pyannote[1379].speaker SPEAKER_04
transcript.pyannote[1379].start 6572.82659375
transcript.pyannote[1379].end 6575.91471875
transcript.pyannote[1380].speaker SPEAKER_04
transcript.pyannote[1380].start 6576.01596875
transcript.pyannote[1380].end 6577.33221875
transcript.pyannote[1381].speaker SPEAKER_04
transcript.pyannote[1381].start 6577.93971875
transcript.pyannote[1381].end 6579.50909375
transcript.pyannote[1382].speaker SPEAKER_08
transcript.pyannote[1382].start 6578.14221875
transcript.pyannote[1382].end 6579.49221875
transcript.pyannote[1383].speaker SPEAKER_08
transcript.pyannote[1383].start 6579.50909375
transcript.pyannote[1383].end 6579.52596875
transcript.pyannote[1384].speaker SPEAKER_04
transcript.pyannote[1384].start 6579.52596875
transcript.pyannote[1384].end 6579.55971875
transcript.pyannote[1385].speaker SPEAKER_08
transcript.pyannote[1385].start 6579.55971875
transcript.pyannote[1385].end 6579.59346875
transcript.pyannote[1386].speaker SPEAKER_04
transcript.pyannote[1386].start 6579.59346875
transcript.pyannote[1386].end 6579.62721875
transcript.pyannote[1387].speaker SPEAKER_08
transcript.pyannote[1387].start 6579.62721875
transcript.pyannote[1387].end 6580.40346875
transcript.pyannote[1388].speaker SPEAKER_04
transcript.pyannote[1388].start 6580.40346875
transcript.pyannote[1388].end 6580.42034375
transcript.pyannote[1389].speaker SPEAKER_08
transcript.pyannote[1389].start 6580.42034375
transcript.pyannote[1389].end 6581.36534375
transcript.pyannote[1390].speaker SPEAKER_04
transcript.pyannote[1390].start 6580.43721875
transcript.pyannote[1390].end 6583.93034375
transcript.pyannote[1391].speaker SPEAKER_08
transcript.pyannote[1391].start 6583.06971875
transcript.pyannote[1391].end 6587.71034375
transcript.pyannote[1392].speaker SPEAKER_04
transcript.pyannote[1392].start 6587.92971875
transcript.pyannote[1392].end 6588.45284375
transcript.pyannote[1393].speaker SPEAKER_04
transcript.pyannote[1393].start 6588.60471875
transcript.pyannote[1393].end 6590.71409375
transcript.pyannote[1394].speaker SPEAKER_04
transcript.pyannote[1394].start 6591.22034375
transcript.pyannote[1394].end 6594.67971875
transcript.pyannote[1395].speaker SPEAKER_04
transcript.pyannote[1395].start 6594.76409375
transcript.pyannote[1395].end 6595.20284375
transcript.pyannote[1396].speaker SPEAKER_04
transcript.pyannote[1396].start 6595.37159375
transcript.pyannote[1396].end 6597.41346875
transcript.pyannote[1397].speaker SPEAKER_04
transcript.pyannote[1397].start 6597.64971875
transcript.pyannote[1397].end 6598.44284375
transcript.pyannote[1398].speaker SPEAKER_04
transcript.pyannote[1398].start 6598.98284375
transcript.pyannote[1398].end 6599.96159375
transcript.pyannote[1399].speaker SPEAKER_04
transcript.pyannote[1399].start 6600.21471875
transcript.pyannote[1399].end 6600.60284375
transcript.pyannote[1400].speaker SPEAKER_04
transcript.pyannote[1400].start 6600.85596875
transcript.pyannote[1400].end 6601.76721875
transcript.pyannote[1401].speaker SPEAKER_04
transcript.pyannote[1401].start 6602.12159375
transcript.pyannote[1401].end 6606.91409375
transcript.pyannote[1402].speaker SPEAKER_04
transcript.pyannote[1402].start 6607.48784375
transcript.pyannote[1402].end 6610.59284375
transcript.pyannote[1403].speaker SPEAKER_04
transcript.pyannote[1403].start 6611.01471875
transcript.pyannote[1403].end 6612.46596875
transcript.pyannote[1404].speaker SPEAKER_04
transcript.pyannote[1404].start 6613.32659375
transcript.pyannote[1404].end 6613.71471875
transcript.pyannote[1405].speaker SPEAKER_08
transcript.pyannote[1405].start 6613.78221875
transcript.pyannote[1405].end 6614.03534375
transcript.pyannote[1406].speaker SPEAKER_08
transcript.pyannote[1406].start 6614.55846875
transcript.pyannote[1406].end 6619.48596875
transcript.pyannote[1407].speaker SPEAKER_04
transcript.pyannote[1407].start 6618.13596875
transcript.pyannote[1407].end 6619.55346875
transcript.pyannote[1408].speaker SPEAKER_04
transcript.pyannote[1408].start 6620.73471875
transcript.pyannote[1408].end 6622.37159375
transcript.pyannote[1409].speaker SPEAKER_04
transcript.pyannote[1409].start 6623.04659375
transcript.pyannote[1409].end 6625.30784375
transcript.pyannote[1410].speaker SPEAKER_04
transcript.pyannote[1410].start 6628.27784375
transcript.pyannote[1410].end 6629.08784375
transcript.pyannote[1411].speaker SPEAKER_04
transcript.pyannote[1411].start 6630.74159375
transcript.pyannote[1411].end 6632.27721875
transcript.pyannote[1412].speaker SPEAKER_04
transcript.pyannote[1412].start 6632.53034375
transcript.pyannote[1412].end 6633.23909375
transcript.pyannote[1413].speaker SPEAKER_04
transcript.pyannote[1413].start 6633.62721875
transcript.pyannote[1413].end 6634.92659375
transcript.pyannote[1414].speaker SPEAKER_04
transcript.pyannote[1414].start 6636.52971875
transcript.pyannote[1414].end 6638.08221875
transcript.pyannote[1415].speaker SPEAKER_08
transcript.pyannote[1415].start 6638.84159375
transcript.pyannote[1415].end 6643.56659375
transcript.pyannote[1416].speaker SPEAKER_08
transcript.pyannote[1416].start 6643.83659375
transcript.pyannote[1416].end 6650.97471875
transcript.pyannote[1417].speaker SPEAKER_04
transcript.pyannote[1417].start 6645.81096875
transcript.pyannote[1417].end 6647.19471875
transcript.pyannote[1418].speaker SPEAKER_04
transcript.pyannote[1418].start 6651.27846875
transcript.pyannote[1418].end 6653.01659375
transcript.pyannote[1419].speaker SPEAKER_04
transcript.pyannote[1419].start 6654.43409375
transcript.pyannote[1419].end 6655.02471875
transcript.pyannote[1420].speaker SPEAKER_04
transcript.pyannote[1420].start 6655.39596875
transcript.pyannote[1420].end 6655.90221875
transcript.pyannote[1421].speaker SPEAKER_04
transcript.pyannote[1421].start 6657.48846875
transcript.pyannote[1421].end 6658.36596875
transcript.pyannote[1422].speaker SPEAKER_04
transcript.pyannote[1422].start 6659.78346875
transcript.pyannote[1422].end 6661.16721875
transcript.pyannote[1423].speaker SPEAKER_04
transcript.pyannote[1423].start 6661.45409375
transcript.pyannote[1423].end 6662.14596875
transcript.pyannote[1424].speaker SPEAKER_04
transcript.pyannote[1424].start 6663.05721875
transcript.pyannote[1424].end 6663.85034375
transcript.pyannote[1425].speaker SPEAKER_04
transcript.pyannote[1425].start 6664.28909375
transcript.pyannote[1425].end 6664.74471875
transcript.pyannote[1426].speaker SPEAKER_04
transcript.pyannote[1426].start 6665.58846875
transcript.pyannote[1426].end 6666.49971875
transcript.pyannote[1427].speaker SPEAKER_04
transcript.pyannote[1427].start 6667.22534375
transcript.pyannote[1427].end 6668.47409375
transcript.pyannote[1428].speaker SPEAKER_04
transcript.pyannote[1428].start 6668.71034375
transcript.pyannote[1428].end 6669.30096875
transcript.pyannote[1429].speaker SPEAKER_04
transcript.pyannote[1429].start 6669.60471875
transcript.pyannote[1429].end 6670.66784375
transcript.pyannote[1430].speaker SPEAKER_04
transcript.pyannote[1430].start 6671.79846875
transcript.pyannote[1430].end 6675.67971875
transcript.pyannote[1431].speaker SPEAKER_04
transcript.pyannote[1431].start 6676.81034375
transcript.pyannote[1431].end 6677.23221875
transcript.pyannote[1432].speaker SPEAKER_08
transcript.pyannote[1432].start 6676.99596875
transcript.pyannote[1432].end 6677.75534375
transcript.pyannote[1433].speaker SPEAKER_04
transcript.pyannote[1433].start 6677.95784375
transcript.pyannote[1433].end 6678.88596875
transcript.pyannote[1434].speaker SPEAKER_08
transcript.pyannote[1434].start 6678.88596875
transcript.pyannote[1434].end 6685.41659375
transcript.pyannote[1435].speaker SPEAKER_04
transcript.pyannote[1435].start 6684.82596875
transcript.pyannote[1435].end 6688.28534375
transcript.pyannote[1436].speaker SPEAKER_08
transcript.pyannote[1436].start 6686.78346875
transcript.pyannote[1436].end 6692.65596875
transcript.pyannote[1437].speaker SPEAKER_04
transcript.pyannote[1437].start 6690.98534375
transcript.pyannote[1437].end 6696.52034375
transcript.pyannote[1438].speaker SPEAKER_04
transcript.pyannote[1438].start 6696.60471875
transcript.pyannote[1438].end 6703.20284375
transcript.pyannote[1439].speaker SPEAKER_09
transcript.pyannote[1439].start 6701.90346875
transcript.pyannote[1439].end 6702.42659375
transcript.pyannote[1440].speaker SPEAKER_04
transcript.pyannote[1440].start 6704.60346875
transcript.pyannote[1440].end 6706.40909375
transcript.pyannote[1441].speaker SPEAKER_04
transcript.pyannote[1441].start 6707.23596875
transcript.pyannote[1441].end 6710.77971875
transcript.pyannote[1442].speaker SPEAKER_04
transcript.pyannote[1442].start 6711.35346875
transcript.pyannote[1442].end 6713.20971875
transcript.pyannote[1443].speaker SPEAKER_04
transcript.pyannote[1443].start 6713.58096875
transcript.pyannote[1443].end 6721.88346875
transcript.pyannote[1444].speaker SPEAKER_04
transcript.pyannote[1444].start 6722.23784375
transcript.pyannote[1444].end 6725.46096875
transcript.pyannote[1445].speaker SPEAKER_04
transcript.pyannote[1445].start 6726.76034375
transcript.pyannote[1445].end 6727.77284375
transcript.pyannote[1446].speaker SPEAKER_04
transcript.pyannote[1446].start 6729.12284375
transcript.pyannote[1446].end 6730.10159375
transcript.pyannote[1447].speaker SPEAKER_04
transcript.pyannote[1447].start 6730.84409375
transcript.pyannote[1447].end 6737.81346875
transcript.pyannote[1448].speaker SPEAKER_09
transcript.pyannote[1448].start 6734.96159375
transcript.pyannote[1448].end 6735.18096875
transcript.pyannote[1449].speaker SPEAKER_04
transcript.pyannote[1449].start 6738.21846875
transcript.pyannote[1449].end 6739.31534375
transcript.pyannote[1450].speaker SPEAKER_04
transcript.pyannote[1450].start 6740.05784375
transcript.pyannote[1450].end 6746.31846875
transcript.pyannote[1451].speaker SPEAKER_04
transcript.pyannote[1451].start 6746.84159375
transcript.pyannote[1451].end 6750.70596875
transcript.pyannote[1452].speaker SPEAKER_04
transcript.pyannote[1452].start 6751.29659375
transcript.pyannote[1452].end 6751.70159375
transcript.pyannote[1453].speaker SPEAKER_04
transcript.pyannote[1453].start 6752.05596875
transcript.pyannote[1453].end 6753.52409375
transcript.pyannote[1454].speaker SPEAKER_04
transcript.pyannote[1454].start 6754.09784375
transcript.pyannote[1454].end 6759.22784375
transcript.pyannote[1455].speaker SPEAKER_04
transcript.pyannote[1455].start 6760.12221875
transcript.pyannote[1455].end 6760.69596875
transcript.pyannote[1456].speaker SPEAKER_04
transcript.pyannote[1456].start 6761.55659375
transcript.pyannote[1456].end 6762.61971875
transcript.pyannote[1457].speaker SPEAKER_04
transcript.pyannote[1457].start 6762.73784375
transcript.pyannote[1457].end 6763.51409375
transcript.pyannote[1458].speaker SPEAKER_04
transcript.pyannote[1458].start 6763.75034375
transcript.pyannote[1458].end 6764.37471875
transcript.pyannote[1459].speaker SPEAKER_04
transcript.pyannote[1459].start 6765.13409375
transcript.pyannote[1459].end 6767.31096875
transcript.pyannote[1460].speaker SPEAKER_04
transcript.pyannote[1460].start 6767.80034375
transcript.pyannote[1460].end 6768.17159375
transcript.pyannote[1461].speaker SPEAKER_04
transcript.pyannote[1461].start 6768.39096875
transcript.pyannote[1461].end 6771.05721875
transcript.pyannote[1462].speaker SPEAKER_04
transcript.pyannote[1462].start 6771.64784375
transcript.pyannote[1462].end 6773.16659375
transcript.pyannote[1463].speaker SPEAKER_04
transcript.pyannote[1463].start 6773.82471875
transcript.pyannote[1463].end 6775.76534375
transcript.pyannote[1464].speaker SPEAKER_04
transcript.pyannote[1464].start 6777.30096875
transcript.pyannote[1464].end 6778.36409375
transcript.pyannote[1465].speaker SPEAKER_04
transcript.pyannote[1465].start 6778.93784375
transcript.pyannote[1465].end 6781.13159375
transcript.pyannote[1466].speaker SPEAKER_04
transcript.pyannote[1466].start 6781.38471875
transcript.pyannote[1466].end 6783.34221875
transcript.pyannote[1467].speaker SPEAKER_04
transcript.pyannote[1467].start 6784.45596875
transcript.pyannote[1467].end 6785.63721875
transcript.pyannote[1468].speaker SPEAKER_04
transcript.pyannote[1468].start 6786.19409375
transcript.pyannote[1468].end 6786.71721875
transcript.pyannote[1469].speaker SPEAKER_04
transcript.pyannote[1469].start 6786.80159375
transcript.pyannote[1469].end 6787.42596875
transcript.pyannote[1470].speaker SPEAKER_04
transcript.pyannote[1470].start 6788.05034375
transcript.pyannote[1470].end 6789.45096875
transcript.pyannote[1471].speaker SPEAKER_04
transcript.pyannote[1471].start 6790.15971875
transcript.pyannote[1471].end 6793.70346875
transcript.pyannote[1472].speaker SPEAKER_04
transcript.pyannote[1472].start 6793.80471875
transcript.pyannote[1472].end 6795.59346875
transcript.pyannote[1473].speaker SPEAKER_08
transcript.pyannote[1473].start 6796.57221875
transcript.pyannote[1473].end 6814.79721875
transcript.pyannote[1474].speaker SPEAKER_04
transcript.pyannote[1474].start 6813.76784375
transcript.pyannote[1474].end 6814.81409375
transcript.pyannote[1475].speaker SPEAKER_04
transcript.pyannote[1475].start 6816.38346875
transcript.pyannote[1475].end 6818.86409375
transcript.pyannote[1476].speaker SPEAKER_08
transcript.pyannote[1476].start 6816.51846875
transcript.pyannote[1476].end 6817.17659375
transcript.pyannote[1477].speaker SPEAKER_08
transcript.pyannote[1477].start 6818.35784375
transcript.pyannote[1477].end 6825.19221875
transcript.pyannote[1478].speaker SPEAKER_04
transcript.pyannote[1478].start 6826.71096875
transcript.pyannote[1478].end 6827.55471875
transcript.pyannote[1479].speaker SPEAKER_08
transcript.pyannote[1479].start 6827.95971875
transcript.pyannote[1479].end 6828.70221875
transcript.pyannote[1480].speaker SPEAKER_08
transcript.pyannote[1480].start 6828.82034375
transcript.pyannote[1480].end 6836.95409375
transcript.pyannote[1481].speaker SPEAKER_04
transcript.pyannote[1481].start 6836.26221875
transcript.pyannote[1481].end 6839.01284375
transcript.pyannote[1482].speaker SPEAKER_04
transcript.pyannote[1482].start 6839.41784375
transcript.pyannote[1482].end 6840.32909375
transcript.pyannote[1483].speaker SPEAKER_04
transcript.pyannote[1483].start 6840.86909375
transcript.pyannote[1483].end 6846.25221875
transcript.pyannote[1484].speaker SPEAKER_04
transcript.pyannote[1484].start 6846.75846875
transcript.pyannote[1484].end 6847.29846875
transcript.pyannote[1485].speaker SPEAKER_04
transcript.pyannote[1485].start 6847.75409375
transcript.pyannote[1485].end 6849.54284375
transcript.pyannote[1486].speaker SPEAKER_04
transcript.pyannote[1486].start 6849.64409375
transcript.pyannote[1486].end 6852.05721875
transcript.pyannote[1487].speaker SPEAKER_04
transcript.pyannote[1487].start 6852.36096875
transcript.pyannote[1487].end 6854.38596875
transcript.pyannote[1488].speaker SPEAKER_04
transcript.pyannote[1488].start 6854.74034375
transcript.pyannote[1488].end 6856.02284375
transcript.pyannote[1489].speaker SPEAKER_04
transcript.pyannote[1489].start 6857.15346875
transcript.pyannote[1489].end 6858.63846875
transcript.pyannote[1490].speaker SPEAKER_04
transcript.pyannote[1490].start 6858.82409375
transcript.pyannote[1490].end 6858.84096875
transcript.pyannote[1491].speaker SPEAKER_08
transcript.pyannote[1491].start 6858.84096875
transcript.pyannote[1491].end 6869.21909375
transcript.pyannote[1492].speaker SPEAKER_04
transcript.pyannote[1492].start 6859.06034375
transcript.pyannote[1492].end 6859.41471875
transcript.pyannote[1493].speaker SPEAKER_04
transcript.pyannote[1493].start 6868.42596875
transcript.pyannote[1493].end 6870.77159375
transcript.pyannote[1494].speaker SPEAKER_04
transcript.pyannote[1494].start 6871.46346875
transcript.pyannote[1494].end 6874.68659375
transcript.pyannote[1495].speaker SPEAKER_04
transcript.pyannote[1495].start 6875.32784375
transcript.pyannote[1495].end 6877.69034375
transcript.pyannote[1496].speaker SPEAKER_04
transcript.pyannote[1496].start 6878.04471875
transcript.pyannote[1496].end 6880.18784375
transcript.pyannote[1497].speaker SPEAKER_04
transcript.pyannote[1497].start 6880.89659375
transcript.pyannote[1497].end 6882.93846875
transcript.pyannote[1498].speaker SPEAKER_04
transcript.pyannote[1498].start 6883.63034375
transcript.pyannote[1498].end 6893.63721875
transcript.pyannote[1499].speaker SPEAKER_08
transcript.pyannote[1499].start 6891.67971875
transcript.pyannote[1499].end 6893.33346875
transcript.pyannote[1500].speaker SPEAKER_08
transcript.pyannote[1500].start 6893.45159375
transcript.pyannote[1500].end 6899.37471875
transcript.pyannote[1501].speaker SPEAKER_04
transcript.pyannote[1501].start 6897.78846875
transcript.pyannote[1501].end 6898.59846875
transcript.pyannote[1502].speaker SPEAKER_04
transcript.pyannote[1502].start 6899.29034375
transcript.pyannote[1502].end 6901.11284375
transcript.pyannote[1503].speaker SPEAKER_04
transcript.pyannote[1503].start 6901.77096875
transcript.pyannote[1503].end 6911.33909375
transcript.pyannote[1504].speaker SPEAKER_08
transcript.pyannote[1504].start 6901.82159375
transcript.pyannote[1504].end 6902.12534375
transcript.pyannote[1505].speaker SPEAKER_08
transcript.pyannote[1505].start 6909.90471875
transcript.pyannote[1505].end 6910.29284375
transcript.pyannote[1506].speaker SPEAKER_04
transcript.pyannote[1506].start 6911.37284375
transcript.pyannote[1506].end 6911.40659375
transcript.pyannote[1507].speaker SPEAKER_08
transcript.pyannote[1507].start 6911.72721875
transcript.pyannote[1507].end 6917.21159375
transcript.pyannote[1508].speaker SPEAKER_04
transcript.pyannote[1508].start 6911.92971875
transcript.pyannote[1508].end 6913.12784375
transcript.pyannote[1509].speaker SPEAKER_04
transcript.pyannote[1509].start 6915.55784375
transcript.pyannote[1509].end 6916.58721875
transcript.pyannote[1510].speaker SPEAKER_04
transcript.pyannote[1510].start 6917.75159375
transcript.pyannote[1510].end 6918.89909375
transcript.pyannote[1511].speaker SPEAKER_04
transcript.pyannote[1511].start 6919.37159375
transcript.pyannote[1511].end 6921.04221875
transcript.pyannote[1512].speaker SPEAKER_04
transcript.pyannote[1512].start 6921.16034375
transcript.pyannote[1512].end 6921.91971875
transcript.pyannote[1513].speaker SPEAKER_08
transcript.pyannote[1513].start 6921.37971875
transcript.pyannote[1513].end 6922.54409375
transcript.pyannote[1514].speaker SPEAKER_04
transcript.pyannote[1514].start 6922.47659375
transcript.pyannote[1514].end 6923.77596875
transcript.pyannote[1515].speaker SPEAKER_04
transcript.pyannote[1515].start 6923.97846875
transcript.pyannote[1515].end 6927.21846875
transcript.pyannote[1516].speaker SPEAKER_08
transcript.pyannote[1516].start 6927.57284375
transcript.pyannote[1516].end 6942.33846875
transcript.pyannote[1517].speaker SPEAKER_04
transcript.pyannote[1517].start 6927.60659375
transcript.pyannote[1517].end 6931.70721875
transcript.pyannote[1518].speaker SPEAKER_08
transcript.pyannote[1518].start 6942.43971875
transcript.pyannote[1518].end 6943.21596875
transcript.pyannote[1519].speaker SPEAKER_08
transcript.pyannote[1519].start 6943.62096875
transcript.pyannote[1519].end 6944.75159375
transcript.pyannote[1520].speaker SPEAKER_04
transcript.pyannote[1520].start 6944.75159375
transcript.pyannote[1520].end 6953.69534375
transcript.pyannote[1521].speaker SPEAKER_08
transcript.pyannote[1521].start 6944.86971875
transcript.pyannote[1521].end 6945.46034375
transcript.pyannote[1522].speaker SPEAKER_04
transcript.pyannote[1522].start 6954.74159375
transcript.pyannote[1522].end 6955.75409375
transcript.pyannote[1523].speaker SPEAKER_08
transcript.pyannote[1523].start 6956.36159375
transcript.pyannote[1523].end 6960.14159375
transcript.pyannote[1524].speaker SPEAKER_04
transcript.pyannote[1524].start 6959.43284375
transcript.pyannote[1524].end 6961.10346875
transcript.pyannote[1525].speaker SPEAKER_04
transcript.pyannote[1525].start 6961.15409375
transcript.pyannote[1525].end 6963.26346875
transcript.pyannote[1526].speaker SPEAKER_08
transcript.pyannote[1526].start 6963.71909375
transcript.pyannote[1526].end 6964.03971875
transcript.pyannote[1527].speaker SPEAKER_04
transcript.pyannote[1527].start 6964.05659375
transcript.pyannote[1527].end 6965.23784375
transcript.pyannote[1528].speaker SPEAKER_04
transcript.pyannote[1528].start 6965.82846875
transcript.pyannote[1528].end 6965.87909375
transcript.pyannote[1529].speaker SPEAKER_08
transcript.pyannote[1529].start 6965.87909375
transcript.pyannote[1529].end 6968.22471875
transcript.pyannote[1530].speaker SPEAKER_04
transcript.pyannote[1530].start 6965.89596875
transcript.pyannote[1530].end 6966.35159375
transcript.pyannote[1531].speaker SPEAKER_08
transcript.pyannote[1531].start 6968.57909375
transcript.pyannote[1531].end 6975.02534375
transcript.pyannote[1532].speaker SPEAKER_08
transcript.pyannote[1532].start 6975.68346875
transcript.pyannote[1532].end 6980.84721875
transcript.pyannote[1533].speaker SPEAKER_04
transcript.pyannote[1533].start 6976.18971875
transcript.pyannote[1533].end 6977.33721875
transcript.pyannote[1534].speaker SPEAKER_04
transcript.pyannote[1534].start 6980.02034375
transcript.pyannote[1534].end 6983.74971875
transcript.pyannote[1535].speaker SPEAKER_04
transcript.pyannote[1535].start 6984.64409375
transcript.pyannote[1535].end 6987.63096875
transcript.pyannote[1536].speaker SPEAKER_04
transcript.pyannote[1536].start 6987.88409375
transcript.pyannote[1536].end 6989.40284375
transcript.pyannote[1537].speaker SPEAKER_04
transcript.pyannote[1537].start 6990.49971875
transcript.pyannote[1537].end 6991.90034375
transcript.pyannote[1538].speaker SPEAKER_04
transcript.pyannote[1538].start 6992.13659375
transcript.pyannote[1538].end 6997.26659375
transcript.pyannote[1539].speaker SPEAKER_08
transcript.pyannote[1539].start 6997.51971875
transcript.pyannote[1539].end 6997.70534375
transcript.pyannote[1540].speaker SPEAKER_04
transcript.pyannote[1540].start 6997.70534375
transcript.pyannote[1540].end 7012.09971875
transcript.pyannote[1541].speaker SPEAKER_08
transcript.pyannote[1541].start 6997.78971875
transcript.pyannote[1541].end 6999.84846875
transcript.pyannote[1542].speaker SPEAKER_08
transcript.pyannote[1542].start 7008.13409375
transcript.pyannote[1542].end 7008.20159375
transcript.pyannote[1543].speaker SPEAKER_04
transcript.pyannote[1543].start 7012.42034375
transcript.pyannote[1543].end 7013.70284375
transcript.pyannote[1544].speaker SPEAKER_04
transcript.pyannote[1544].start 7014.85034375
transcript.pyannote[1544].end 7016.45346875
transcript.pyannote[1545].speaker SPEAKER_04
transcript.pyannote[1545].start 7016.95971875
transcript.pyannote[1545].end 7018.42784375
transcript.pyannote[1546].speaker SPEAKER_04
transcript.pyannote[1546].start 7019.10284375
transcript.pyannote[1546].end 7019.69346875
transcript.pyannote[1547].speaker SPEAKER_04
transcript.pyannote[1547].start 7019.77784375
transcript.pyannote[1547].end 7024.43534375
transcript.pyannote[1548].speaker SPEAKER_08
transcript.pyannote[1548].start 7024.43534375
transcript.pyannote[1548].end 7024.45221875
transcript.pyannote[1549].speaker SPEAKER_04
transcript.pyannote[1549].start 7024.45221875
transcript.pyannote[1549].end 7024.46909375
transcript.pyannote[1550].speaker SPEAKER_08
transcript.pyannote[1550].start 7024.46909375
transcript.pyannote[1550].end 7024.48596875
transcript.pyannote[1551].speaker SPEAKER_08
transcript.pyannote[1551].start 7024.92471875
transcript.pyannote[1551].end 7039.08284375
transcript.pyannote[1552].speaker SPEAKER_04
transcript.pyannote[1552].start 7026.17346875
transcript.pyannote[1552].end 7026.76409375
transcript.pyannote[1553].speaker SPEAKER_08
transcript.pyannote[1553].start 7039.70721875
transcript.pyannote[1553].end 7039.74096875
transcript.pyannote[1554].speaker SPEAKER_04
transcript.pyannote[1554].start 7039.74096875
transcript.pyannote[1554].end 7039.92659375
transcript.pyannote[1555].speaker SPEAKER_08
transcript.pyannote[1555].start 7039.92659375
transcript.pyannote[1555].end 7040.02784375
transcript.pyannote[1556].speaker SPEAKER_04
transcript.pyannote[1556].start 7040.02784375
transcript.pyannote[1556].end 7041.09096875
transcript.pyannote[1557].speaker SPEAKER_04
transcript.pyannote[1557].start 7042.30596875
transcript.pyannote[1557].end 7043.08221875
transcript.pyannote[1558].speaker SPEAKER_04
transcript.pyannote[1558].start 7044.28034375
transcript.pyannote[1558].end 7046.11971875
transcript.pyannote[1559].speaker SPEAKER_08
transcript.pyannote[1559].start 7046.47409375
transcript.pyannote[1559].end 7048.66784375
transcript.pyannote[1560].speaker SPEAKER_04
transcript.pyannote[1560].start 7048.75221875
transcript.pyannote[1560].end 7050.01784375
transcript.pyannote[1561].speaker SPEAKER_04
transcript.pyannote[1561].start 7050.50721875
transcript.pyannote[1561].end 7052.22846875
transcript.pyannote[1562].speaker SPEAKER_04
transcript.pyannote[1562].start 7053.56159375
transcript.pyannote[1562].end 7054.69221875
transcript.pyannote[1563].speaker SPEAKER_08
transcript.pyannote[1563].start 7054.84409375
transcript.pyannote[1563].end 7055.01284375
transcript.pyannote[1564].speaker SPEAKER_04
transcript.pyannote[1564].start 7055.38409375
transcript.pyannote[1564].end 7056.64971875
transcript.pyannote[1565].speaker SPEAKER_08
transcript.pyannote[1565].start 7057.12221875
transcript.pyannote[1565].end 7065.66096875
transcript.pyannote[1566].speaker SPEAKER_04
transcript.pyannote[1566].start 7057.44284375
transcript.pyannote[1566].end 7058.33721875
transcript.pyannote[1567].speaker SPEAKER_04
transcript.pyannote[1567].start 7060.58159375
transcript.pyannote[1567].end 7061.61096875
transcript.pyannote[1568].speaker SPEAKER_04
transcript.pyannote[1568].start 7063.01159375
transcript.pyannote[1568].end 7063.45034375
transcript.pyannote[1569].speaker SPEAKER_04
transcript.pyannote[1569].start 7063.73721875
transcript.pyannote[1569].end 7065.88034375
transcript.pyannote[1570].speaker SPEAKER_08
transcript.pyannote[1570].start 7065.88034375
transcript.pyannote[1570].end 7069.22159375
transcript.pyannote[1571].speaker SPEAKER_08
transcript.pyannote[1571].start 7070.14971875
transcript.pyannote[1571].end 7076.83221875
transcript.pyannote[1572].speaker SPEAKER_04
transcript.pyannote[1572].start 7071.46596875
transcript.pyannote[1572].end 7071.68534375
transcript.pyannote[1573].speaker SPEAKER_04
transcript.pyannote[1573].start 7076.93346875
transcript.pyannote[1573].end 7082.65409375
transcript.pyannote[1574].speaker SPEAKER_08
transcript.pyannote[1574].start 7077.37221875
transcript.pyannote[1574].end 7077.96284375
transcript.pyannote[1575].speaker SPEAKER_08
transcript.pyannote[1575].start 7081.27034375
transcript.pyannote[1575].end 7086.04596875
transcript.pyannote[1576].speaker SPEAKER_04
transcript.pyannote[1576].start 7086.61971875
transcript.pyannote[1576].end 7088.22284375
transcript.pyannote[1577].speaker SPEAKER_04
transcript.pyannote[1577].start 7088.74596875
transcript.pyannote[1577].end 7090.90596875
transcript.pyannote[1578].speaker SPEAKER_04
transcript.pyannote[1578].start 7091.64846875
transcript.pyannote[1578].end 7092.30659375
transcript.pyannote[1579].speaker SPEAKER_04
transcript.pyannote[1579].start 7093.23471875
transcript.pyannote[1579].end 7095.69846875
transcript.pyannote[1580].speaker SPEAKER_04
transcript.pyannote[1580].start 7096.23846875
transcript.pyannote[1580].end 7097.40284375
transcript.pyannote[1581].speaker SPEAKER_04
transcript.pyannote[1581].start 7097.95971875
transcript.pyannote[1581].end 7100.13659375
transcript.pyannote[1582].speaker SPEAKER_04
transcript.pyannote[1582].start 7100.44034375
transcript.pyannote[1582].end 7101.43596875
transcript.pyannote[1583].speaker SPEAKER_04
transcript.pyannote[1583].start 7102.36409375
transcript.pyannote[1583].end 7103.24159375
transcript.pyannote[1584].speaker SPEAKER_04
transcript.pyannote[1584].start 7103.78159375
transcript.pyannote[1584].end 7106.17784375
transcript.pyannote[1585].speaker SPEAKER_04
transcript.pyannote[1585].start 7106.68409375
transcript.pyannote[1585].end 7109.01284375
transcript.pyannote[1586].speaker SPEAKER_04
transcript.pyannote[1586].start 7109.58659375
transcript.pyannote[1586].end 7111.08846875
transcript.pyannote[1587].speaker SPEAKER_04
transcript.pyannote[1587].start 7111.57784375
transcript.pyannote[1587].end 7111.89846875
transcript.pyannote[1588].speaker SPEAKER_04
transcript.pyannote[1588].start 7112.32034375
transcript.pyannote[1588].end 7114.86846875
transcript.pyannote[1589].speaker SPEAKER_04
transcript.pyannote[1589].start 7115.66159375
transcript.pyannote[1589].end 7116.06659375
transcript.pyannote[1590].speaker SPEAKER_04
transcript.pyannote[1590].start 7116.45471875
transcript.pyannote[1590].end 7117.02846875
transcript.pyannote[1591].speaker SPEAKER_04
transcript.pyannote[1591].start 7117.95659375
transcript.pyannote[1591].end 7119.98159375
transcript.pyannote[1592].speaker SPEAKER_04
transcript.pyannote[1592].start 7120.89284375
transcript.pyannote[1592].end 7121.78721875
transcript.pyannote[1593].speaker SPEAKER_04
transcript.pyannote[1593].start 7122.47909375
transcript.pyannote[1593].end 7127.10284375
transcript.pyannote[1594].speaker SPEAKER_04
transcript.pyannote[1594].start 7127.87909375
transcript.pyannote[1594].end 7129.36409375
transcript.pyannote[1595].speaker SPEAKER_04
transcript.pyannote[1595].start 7129.51596875
transcript.pyannote[1595].end 7136.41784375
transcript.pyannote[1596].speaker SPEAKER_04
transcript.pyannote[1596].start 7136.46846875
transcript.pyannote[1596].end 7145.80034375
transcript.pyannote[1597].speaker SPEAKER_04
transcript.pyannote[1597].start 7146.67784375
transcript.pyannote[1597].end 7147.08284375
transcript.pyannote[1598].speaker SPEAKER_04
transcript.pyannote[1598].start 7147.18409375
transcript.pyannote[1598].end 7147.99409375
transcript.pyannote[1599].speaker SPEAKER_04
transcript.pyannote[1599].start 7149.36096875
transcript.pyannote[1599].end 7150.28909375
transcript.pyannote[1600].speaker SPEAKER_04
transcript.pyannote[1600].start 7150.81221875
transcript.pyannote[1600].end 7151.85846875
transcript.pyannote[1601].speaker SPEAKER_04
transcript.pyannote[1601].start 7151.97659375
transcript.pyannote[1601].end 7153.14096875
transcript.pyannote[1602].speaker SPEAKER_04
transcript.pyannote[1602].start 7153.64721875
transcript.pyannote[1602].end 7155.80721875
transcript.pyannote[1603].speaker SPEAKER_08
transcript.pyannote[1603].start 7156.34721875
transcript.pyannote[1603].end 7156.92096875
transcript.pyannote[1604].speaker SPEAKER_04
transcript.pyannote[1604].start 7156.92096875
transcript.pyannote[1604].end 7159.48596875
transcript.pyannote[1605].speaker SPEAKER_08
transcript.pyannote[1605].start 7159.48596875
transcript.pyannote[1605].end 7162.72596875
transcript.pyannote[1606].speaker SPEAKER_04
transcript.pyannote[1606].start 7162.72596875
transcript.pyannote[1606].end 7164.14346875
transcript.pyannote[1607].speaker SPEAKER_08
transcript.pyannote[1607].start 7163.40096875
transcript.pyannote[1607].end 7166.13471875
transcript.pyannote[1608].speaker SPEAKER_04
transcript.pyannote[1608].start 7166.43846875
transcript.pyannote[1608].end 7166.99534375
transcript.pyannote[1609].speaker SPEAKER_08
transcript.pyannote[1609].start 7166.55659375
transcript.pyannote[1609].end 7166.92784375
transcript.pyannote[1610].speaker SPEAKER_04
transcript.pyannote[1610].start 7167.18096875
transcript.pyannote[1610].end 7173.79596875
transcript.pyannote[1611].speaker SPEAKER_08
transcript.pyannote[1611].start 7172.86784375
transcript.pyannote[1611].end 7183.73534375
transcript.pyannote[1612].speaker SPEAKER_08
transcript.pyannote[1612].start 7183.87034375
transcript.pyannote[1612].end 7194.36659375
transcript.pyannote[1613].speaker SPEAKER_04
transcript.pyannote[1613].start 7192.99971875
transcript.pyannote[1613].end 7196.59409375
transcript.pyannote[1614].speaker SPEAKER_08
transcript.pyannote[1614].start 7196.99909375
transcript.pyannote[1614].end 7198.11284375
transcript.pyannote[1615].speaker SPEAKER_08
transcript.pyannote[1615].start 7198.34909375
transcript.pyannote[1615].end 7199.88471875
transcript.pyannote[1616].speaker SPEAKER_04
transcript.pyannote[1616].start 7198.46721875
transcript.pyannote[1616].end 7199.09159375
transcript.pyannote[1617].speaker SPEAKER_08
transcript.pyannote[1617].start 7200.40784375
transcript.pyannote[1617].end 7201.85909375
transcript.pyannote[1618].speaker SPEAKER_04
transcript.pyannote[1618].start 7201.33596875
transcript.pyannote[1618].end 7201.80846875
transcript.pyannote[1619].speaker SPEAKER_04
transcript.pyannote[1619].start 7201.85909375
transcript.pyannote[1619].end 7201.89284375
transcript.pyannote[1620].speaker SPEAKER_08
transcript.pyannote[1620].start 7201.89284375
transcript.pyannote[1620].end 7204.27221875
transcript.pyannote[1621].speaker SPEAKER_08
transcript.pyannote[1621].start 7204.52534375
transcript.pyannote[1621].end 7227.50909375
transcript.pyannote[1622].speaker SPEAKER_08
transcript.pyannote[1622].start 7228.65659375
transcript.pyannote[1622].end 7232.06534375
transcript.pyannote[1623].speaker SPEAKER_04
transcript.pyannote[1623].start 7228.69034375
transcript.pyannote[1623].end 7229.38221875
transcript.pyannote[1624].speaker SPEAKER_04
transcript.pyannote[1624].start 7231.93034375
transcript.pyannote[1624].end 7233.19596875
transcript.pyannote[1625].speaker SPEAKER_08
transcript.pyannote[1625].start 7233.04409375
transcript.pyannote[1625].end 7233.97221875
transcript.pyannote[1626].speaker SPEAKER_04
transcript.pyannote[1626].start 7233.41534375
transcript.pyannote[1626].end 7233.44909375
transcript.pyannote[1627].speaker SPEAKER_08
transcript.pyannote[1627].start 7234.32659375
transcript.pyannote[1627].end 7240.19909375
transcript.pyannote[1628].speaker SPEAKER_04
transcript.pyannote[1628].start 7239.65909375
transcript.pyannote[1628].end 7242.74721875
transcript.pyannote[1629].speaker SPEAKER_08
transcript.pyannote[1629].start 7243.23659375
transcript.pyannote[1629].end 7243.25346875
transcript.pyannote[1630].speaker SPEAKER_04
transcript.pyannote[1630].start 7243.25346875
transcript.pyannote[1630].end 7243.45596875
transcript.pyannote[1631].speaker SPEAKER_08
transcript.pyannote[1631].start 7243.45596875
transcript.pyannote[1631].end 7262.94659375
transcript.pyannote[1632].speaker SPEAKER_04
transcript.pyannote[1632].start 7246.83096875
transcript.pyannote[1632].end 7248.31596875
transcript.pyannote[1633].speaker SPEAKER_04
transcript.pyannote[1633].start 7262.81159375
transcript.pyannote[1633].end 7264.07721875
transcript.pyannote[1634].speaker SPEAKER_08
transcript.pyannote[1634].start 7263.30096875
transcript.pyannote[1634].end 7264.02659375
transcript.pyannote[1635].speaker SPEAKER_08
transcript.pyannote[1635].start 7264.07721875
transcript.pyannote[1635].end 7264.68471875
transcript.pyannote[1636].speaker SPEAKER_04
transcript.pyannote[1636].start 7264.34721875
transcript.pyannote[1636].end 7266.11909375
transcript.pyannote[1637].speaker SPEAKER_04
transcript.pyannote[1637].start 7267.14846875
transcript.pyannote[1637].end 7269.74721875
transcript.pyannote[1638].speaker SPEAKER_08
transcript.pyannote[1638].start 7270.11846875
transcript.pyannote[1638].end 7270.35471875
transcript.pyannote[1639].speaker SPEAKER_04
transcript.pyannote[1639].start 7270.35471875
transcript.pyannote[1639].end 7270.37159375
transcript.pyannote[1640].speaker SPEAKER_08
transcript.pyannote[1640].start 7270.37159375
transcript.pyannote[1640].end 7278.67409375
transcript.pyannote[1641].speaker SPEAKER_04
transcript.pyannote[1641].start 7270.38846875
transcript.pyannote[1641].end 7271.56971875
transcript.pyannote[1642].speaker SPEAKER_08
transcript.pyannote[1642].start 7278.77534375
transcript.pyannote[1642].end 7279.83846875
transcript.pyannote[1643].speaker SPEAKER_04
transcript.pyannote[1643].start 7280.44596875
transcript.pyannote[1643].end 7283.07846875
transcript.pyannote[1644].speaker SPEAKER_04
transcript.pyannote[1644].start 7283.26409375
transcript.pyannote[1644].end 7284.47909375
transcript.pyannote[1645].speaker SPEAKER_04
transcript.pyannote[1645].start 7285.08659375
transcript.pyannote[1645].end 7287.41534375
transcript.pyannote[1646].speaker SPEAKER_08
transcript.pyannote[1646].start 7285.44096875
transcript.pyannote[1646].end 7285.96409375
transcript.pyannote[1647].speaker SPEAKER_04
transcript.pyannote[1647].start 7287.85409375
transcript.pyannote[1647].end 7289.10284375
transcript.pyannote[1648].speaker SPEAKER_04
transcript.pyannote[1648].start 7289.92971875
transcript.pyannote[1648].end 7290.87471875
transcript.pyannote[1649].speaker SPEAKER_04
transcript.pyannote[1649].start 7291.27971875
transcript.pyannote[1649].end 7292.14034375
transcript.pyannote[1650].speaker SPEAKER_04
transcript.pyannote[1650].start 7293.13596875
transcript.pyannote[1650].end 7293.59159375
transcript.pyannote[1651].speaker SPEAKER_04
transcript.pyannote[1651].start 7293.77721875
transcript.pyannote[1651].end 7295.21159375
transcript.pyannote[1652].speaker SPEAKER_04
transcript.pyannote[1652].start 7296.05534375
transcript.pyannote[1652].end 7298.90721875
transcript.pyannote[1653].speaker SPEAKER_04
transcript.pyannote[1653].start 7299.51471875
transcript.pyannote[1653].end 7300.45971875
transcript.pyannote[1654].speaker SPEAKER_04
transcript.pyannote[1654].start 7301.53971875
transcript.pyannote[1654].end 7302.14721875
transcript.pyannote[1655].speaker SPEAKER_04
transcript.pyannote[1655].start 7302.83909375
transcript.pyannote[1655].end 7304.49284375
transcript.pyannote[1656].speaker SPEAKER_04
transcript.pyannote[1656].start 7304.77971875
transcript.pyannote[1656].end 7305.69096875
transcript.pyannote[1657].speaker SPEAKER_04
transcript.pyannote[1657].start 7306.19721875
transcript.pyannote[1657].end 7307.15909375
transcript.pyannote[1658].speaker SPEAKER_04
transcript.pyannote[1658].start 7307.85096875
transcript.pyannote[1658].end 7309.33596875
transcript.pyannote[1659].speaker SPEAKER_04
transcript.pyannote[1659].start 7309.84221875
transcript.pyannote[1659].end 7316.30534375
transcript.pyannote[1660].speaker SPEAKER_04
transcript.pyannote[1660].start 7316.82846875
transcript.pyannote[1660].end 7318.21221875
transcript.pyannote[1661].speaker SPEAKER_04
transcript.pyannote[1661].start 7318.83659375
transcript.pyannote[1661].end 7321.04721875
transcript.pyannote[1662].speaker SPEAKER_04
transcript.pyannote[1662].start 7321.30034375
transcript.pyannote[1662].end 7322.93721875
transcript.pyannote[1663].speaker SPEAKER_04
transcript.pyannote[1663].start 7323.73034375
transcript.pyannote[1663].end 7326.56534375
transcript.pyannote[1664].speaker SPEAKER_04
transcript.pyannote[1664].start 7326.66659375
transcript.pyannote[1664].end 7329.14721875
transcript.pyannote[1665].speaker SPEAKER_04
transcript.pyannote[1665].start 7329.51846875
transcript.pyannote[1665].end 7332.13409375
transcript.pyannote[1666].speaker SPEAKER_04
transcript.pyannote[1666].start 7332.40409375
transcript.pyannote[1666].end 7333.68659375
transcript.pyannote[1667].speaker SPEAKER_04
transcript.pyannote[1667].start 7334.83409375
transcript.pyannote[1667].end 7335.61034375
transcript.pyannote[1668].speaker SPEAKER_04
transcript.pyannote[1668].start 7337.06159375
transcript.pyannote[1668].end 7337.75346875
transcript.pyannote[1669].speaker SPEAKER_04
transcript.pyannote[1669].start 7338.05721875
transcript.pyannote[1669].end 7339.27221875
transcript.pyannote[1670].speaker SPEAKER_04
transcript.pyannote[1670].start 7339.59284375
transcript.pyannote[1670].end 7340.99346875
transcript.pyannote[1671].speaker SPEAKER_04
transcript.pyannote[1671].start 7341.95534375
transcript.pyannote[1671].end 7344.90846875
transcript.pyannote[1672].speaker SPEAKER_04
transcript.pyannote[1672].start 7345.73534375
transcript.pyannote[1672].end 7352.77221875
transcript.pyannote[1673].speaker SPEAKER_04
transcript.pyannote[1673].start 7353.14346875
transcript.pyannote[1673].end 7354.12221875
transcript.pyannote[1674].speaker SPEAKER_04
transcript.pyannote[1674].start 7354.67909375
transcript.pyannote[1674].end 7357.91909375
transcript.pyannote[1675].speaker SPEAKER_04
transcript.pyannote[1675].start 7358.57721875
transcript.pyannote[1675].end 7359.42096875
transcript.pyannote[1676].speaker SPEAKER_04
transcript.pyannote[1676].start 7359.79221875
transcript.pyannote[1676].end 7361.42909375
transcript.pyannote[1677].speaker SPEAKER_04
transcript.pyannote[1677].start 7361.73284375
transcript.pyannote[1677].end 7363.36971875
transcript.pyannote[1678].speaker SPEAKER_08
transcript.pyannote[1678].start 7361.96909375
transcript.pyannote[1678].end 7387.07909375
transcript.pyannote[1679].speaker SPEAKER_04
transcript.pyannote[1679].start 7365.14159375
transcript.pyannote[1679].end 7366.10346875
transcript.pyannote[1680].speaker SPEAKER_08
transcript.pyannote[1680].start 7387.39971875
transcript.pyannote[1680].end 7388.02409375
transcript.pyannote[1681].speaker SPEAKER_08
transcript.pyannote[1681].start 7388.14221875
transcript.pyannote[1681].end 7392.54659375
transcript.pyannote[1682].speaker SPEAKER_04
transcript.pyannote[1682].start 7393.45784375
transcript.pyannote[1682].end 7396.14096875
transcript.pyannote[1683].speaker SPEAKER_04
transcript.pyannote[1683].start 7396.83284375
transcript.pyannote[1683].end 7399.48221875
transcript.pyannote[1684].speaker SPEAKER_04
transcript.pyannote[1684].start 7400.12346875
transcript.pyannote[1684].end 7400.51159375
transcript.pyannote[1685].speaker SPEAKER_04
transcript.pyannote[1685].start 7400.74784375
transcript.pyannote[1685].end 7401.35534375
transcript.pyannote[1686].speaker SPEAKER_04
transcript.pyannote[1686].start 7401.54096875
transcript.pyannote[1686].end 7403.39721875
transcript.pyannote[1687].speaker SPEAKER_04
transcript.pyannote[1687].start 7403.95409375
transcript.pyannote[1687].end 7406.04659375
transcript.pyannote[1688].speaker SPEAKER_04
transcript.pyannote[1688].start 7406.58659375
transcript.pyannote[1688].end 7407.86909375
transcript.pyannote[1689].speaker SPEAKER_04
transcript.pyannote[1689].start 7408.86471875
transcript.pyannote[1689].end 7410.68721875
transcript.pyannote[1690].speaker SPEAKER_04
transcript.pyannote[1690].start 7411.17659375
transcript.pyannote[1690].end 7412.27346875
transcript.pyannote[1691].speaker SPEAKER_04
transcript.pyannote[1691].start 7412.39159375
transcript.pyannote[1691].end 7412.86409375
transcript.pyannote[1692].speaker SPEAKER_04
transcript.pyannote[1692].start 7413.65721875
transcript.pyannote[1692].end 7414.01159375
transcript.pyannote[1693].speaker SPEAKER_04
transcript.pyannote[1693].start 7414.41659375
transcript.pyannote[1693].end 7415.73284375
transcript.pyannote[1694].speaker SPEAKER_04
transcript.pyannote[1694].start 7416.07034375
transcript.pyannote[1694].end 7419.31034375
transcript.pyannote[1695].speaker SPEAKER_08
transcript.pyannote[1695].start 7417.96034375
transcript.pyannote[1695].end 7418.46659375
transcript.pyannote[1696].speaker SPEAKER_04
transcript.pyannote[1696].start 7419.85034375
transcript.pyannote[1696].end 7420.98096875
transcript.pyannote[1697].speaker SPEAKER_04
transcript.pyannote[1697].start 7421.14971875
transcript.pyannote[1697].end 7423.47846875
transcript.pyannote[1698].speaker SPEAKER_08
transcript.pyannote[1698].start 7422.04409375
transcript.pyannote[1698].end 7425.84096875
transcript.pyannote[1699].speaker SPEAKER_04
transcript.pyannote[1699].start 7423.57971875
transcript.pyannote[1699].end 7425.08159375
transcript.pyannote[1700].speaker SPEAKER_04
transcript.pyannote[1700].start 7425.53721875
transcript.pyannote[1700].end 7429.03034375
transcript.pyannote[1701].speaker SPEAKER_04
transcript.pyannote[1701].start 7429.62096875
transcript.pyannote[1701].end 7431.67971875
transcript.pyannote[1702].speaker SPEAKER_04
transcript.pyannote[1702].start 7432.21971875
transcript.pyannote[1702].end 7434.64971875
transcript.pyannote[1703].speaker SPEAKER_08
transcript.pyannote[1703].start 7432.48971875
transcript.pyannote[1703].end 7434.61596875
transcript.pyannote[1704].speaker SPEAKER_08
transcript.pyannote[1704].start 7435.15596875
transcript.pyannote[1704].end 7437.90659375
transcript.pyannote[1705].speaker SPEAKER_04
transcript.pyannote[1705].start 7436.21909375
transcript.pyannote[1705].end 7437.88971875
transcript.pyannote[1706].speaker SPEAKER_04
transcript.pyannote[1706].start 7437.90659375
transcript.pyannote[1706].end 7437.92346875
transcript.pyannote[1707].speaker SPEAKER_04
transcript.pyannote[1707].start 7438.19346875
transcript.pyannote[1707].end 7438.24409375
transcript.pyannote[1708].speaker SPEAKER_08
transcript.pyannote[1708].start 7438.24409375
transcript.pyannote[1708].end 7438.37909375
transcript.pyannote[1709].speaker SPEAKER_04
transcript.pyannote[1709].start 7438.37909375
transcript.pyannote[1709].end 7438.39596875
transcript.pyannote[1710].speaker SPEAKER_08
transcript.pyannote[1710].start 7438.39596875
transcript.pyannote[1710].end 7438.41284375
transcript.pyannote[1711].speaker SPEAKER_04
transcript.pyannote[1711].start 7438.41284375
transcript.pyannote[1711].end 7440.55596875
transcript.pyannote[1712].speaker SPEAKER_04
transcript.pyannote[1712].start 7440.80909375
transcript.pyannote[1712].end 7442.44596875
transcript.pyannote[1713].speaker SPEAKER_08
transcript.pyannote[1713].start 7441.18034375
transcript.pyannote[1713].end 7441.31534375
transcript.pyannote[1714].speaker SPEAKER_08
transcript.pyannote[1714].start 7442.44596875
transcript.pyannote[1714].end 7442.46284375
transcript.pyannote[1715].speaker SPEAKER_04
transcript.pyannote[1715].start 7442.66534375
transcript.pyannote[1715].end 7444.79159375
transcript.pyannote[1716].speaker SPEAKER_08
transcript.pyannote[1716].start 7444.45409375
transcript.pyannote[1716].end 7454.76471875
transcript.pyannote[1717].speaker SPEAKER_04
transcript.pyannote[1717].start 7454.07284375
transcript.pyannote[1717].end 7454.46096875
transcript.pyannote[1718].speaker SPEAKER_08
transcript.pyannote[1718].start 7455.35534375
transcript.pyannote[1718].end 7457.09346875
transcript.pyannote[1719].speaker SPEAKER_04
transcript.pyannote[1719].start 7455.38909375
transcript.pyannote[1719].end 7459.87784375
transcript.pyannote[1720].speaker SPEAKER_04
transcript.pyannote[1720].start 7461.19409375
transcript.pyannote[1720].end 7462.34159375
transcript.pyannote[1721].speaker SPEAKER_08
transcript.pyannote[1721].start 7463.01659375
transcript.pyannote[1721].end 7469.04096875
transcript.pyannote[1722].speaker SPEAKER_04
transcript.pyannote[1722].start 7463.28659375
transcript.pyannote[1722].end 7464.23159375
transcript.pyannote[1723].speaker SPEAKER_04
transcript.pyannote[1723].start 7465.31159375
transcript.pyannote[1723].end 7470.15471875
transcript.pyannote[1724].speaker SPEAKER_08
transcript.pyannote[1724].start 7469.68221875
transcript.pyannote[1724].end 7473.32721875
transcript.pyannote[1725].speaker SPEAKER_08
transcript.pyannote[1725].start 7474.08659375
transcript.pyannote[1725].end 7477.66409375
transcript.pyannote[1726].speaker SPEAKER_04
transcript.pyannote[1726].start 7479.62159375
transcript.pyannote[1726].end 7481.32596875
transcript.pyannote[1727].speaker SPEAKER_04
transcript.pyannote[1727].start 7481.68034375
transcript.pyannote[1727].end 7483.28346875
transcript.pyannote[1728].speaker SPEAKER_04
transcript.pyannote[1728].start 7483.55346875
transcript.pyannote[1728].end 7485.12284375
transcript.pyannote[1729].speaker SPEAKER_04
transcript.pyannote[1729].start 7485.54471875
transcript.pyannote[1729].end 7489.76346875
transcript.pyannote[1730].speaker SPEAKER_09
transcript.pyannote[1730].start 7486.06784375
transcript.pyannote[1730].end 7486.38846875
transcript.pyannote[1731].speaker SPEAKER_04
transcript.pyannote[1731].start 7490.21909375
transcript.pyannote[1731].end 7492.53096875
transcript.pyannote[1732].speaker SPEAKER_04
transcript.pyannote[1732].start 7493.10471875
transcript.pyannote[1732].end 7499.61846875
transcript.pyannote[1733].speaker SPEAKER_04
transcript.pyannote[1733].start 7500.02346875
transcript.pyannote[1733].end 7500.98534375
transcript.pyannote[1734].speaker SPEAKER_08
transcript.pyannote[1734].start 7500.98534375
transcript.pyannote[1734].end 7501.00221875
transcript.pyannote[1735].speaker SPEAKER_04
transcript.pyannote[1735].start 7501.60971875
transcript.pyannote[1735].end 7501.96409375
transcript.pyannote[1736].speaker SPEAKER_08
transcript.pyannote[1736].start 7501.96409375
transcript.pyannote[1736].end 7502.41971875
transcript.pyannote[1737].speaker SPEAKER_08
transcript.pyannote[1737].start 7502.70659375
transcript.pyannote[1737].end 7507.11096875
transcript.pyannote[1738].speaker SPEAKER_04
transcript.pyannote[1738].start 7504.41096875
transcript.pyannote[1738].end 7504.76534375
transcript.pyannote[1739].speaker SPEAKER_08
transcript.pyannote[1739].start 7507.38096875
transcript.pyannote[1739].end 7514.80596875
transcript.pyannote[1740].speaker SPEAKER_04
transcript.pyannote[1740].start 7513.45596875
transcript.pyannote[1740].end 7514.95784375
transcript.pyannote[1741].speaker SPEAKER_08
transcript.pyannote[1741].start 7514.95784375
transcript.pyannote[1741].end 7515.02534375
transcript.pyannote[1742].speaker SPEAKER_04
transcript.pyannote[1742].start 7515.02534375
transcript.pyannote[1742].end 7515.80159375
transcript.pyannote[1743].speaker SPEAKER_04
transcript.pyannote[1743].start 7516.54409375
transcript.pyannote[1743].end 7522.34909375
transcript.pyannote[1744].speaker SPEAKER_08
transcript.pyannote[1744].start 7516.83096875
transcript.pyannote[1744].end 7516.91534375
transcript.pyannote[1745].speaker SPEAKER_04
transcript.pyannote[1745].start 7522.51784375
transcript.pyannote[1745].end 7524.64409375
transcript.pyannote[1746].speaker SPEAKER_08
transcript.pyannote[1746].start 7524.44159375
transcript.pyannote[1746].end 7524.67784375
transcript.pyannote[1747].speaker SPEAKER_04
transcript.pyannote[1747].start 7524.67784375
transcript.pyannote[1747].end 7525.13346875
transcript.pyannote[1748].speaker SPEAKER_08
transcript.pyannote[1748].start 7525.13346875
transcript.pyannote[1748].end 7526.14596875
transcript.pyannote[1749].speaker SPEAKER_08
transcript.pyannote[1749].start 7526.24721875
transcript.pyannote[1749].end 7526.34846875
transcript.pyannote[1750].speaker SPEAKER_04
transcript.pyannote[1750].start 7526.34846875
transcript.pyannote[1750].end 7526.41596875
transcript.pyannote[1751].speaker SPEAKER_08
transcript.pyannote[1751].start 7526.41596875
transcript.pyannote[1751].end 7528.49159375
transcript.pyannote[1752].speaker SPEAKER_04
transcript.pyannote[1752].start 7526.61846875
transcript.pyannote[1752].end 7526.70284375
transcript.pyannote[1753].speaker SPEAKER_02
transcript.pyannote[1753].start 7537.85721875
transcript.pyannote[1753].end 7542.93659375
transcript.pyannote[1754].speaker SPEAKER_02
transcript.pyannote[1754].start 7543.40909375
transcript.pyannote[1754].end 7549.02846875
transcript.pyannote[1755].speaker SPEAKER_02
transcript.pyannote[1755].start 8133.29159375
transcript.pyannote[1755].end 8142.75846875
transcript.pyannote[1756].speaker SPEAKER_05
transcript.pyannote[1756].start 8156.29221875
transcript.pyannote[1756].end 8163.83534375
transcript.pyannote[1757].speaker SPEAKER_02
transcript.pyannote[1757].start 8163.58221875
transcript.pyannote[1757].end 8165.60721875
transcript.pyannote[1758].speaker SPEAKER_05
transcript.pyannote[1758].start 8173.16721875
transcript.pyannote[1758].end 8173.96034375
transcript.pyannote[1759].speaker SPEAKER_05
transcript.pyannote[1759].start 8174.71971875
transcript.pyannote[1759].end 8175.54659375
transcript.pyannote[1760].speaker SPEAKER_05
transcript.pyannote[1760].start 8176.22159375
transcript.pyannote[1760].end 8178.80346875
transcript.pyannote[1761].speaker SPEAKER_09
transcript.pyannote[1761].start 8179.17471875
transcript.pyannote[1761].end 8179.49534375
transcript.pyannote[1762].speaker SPEAKER_05
transcript.pyannote[1762].start 8179.69784375
transcript.pyannote[1762].end 8180.08596875
transcript.pyannote[1763].speaker SPEAKER_05
transcript.pyannote[1763].start 8180.37284375
transcript.pyannote[1763].end 8181.23346875
transcript.pyannote[1764].speaker SPEAKER_05
transcript.pyannote[1764].start 8181.60471875
transcript.pyannote[1764].end 8182.46534375
transcript.pyannote[1765].speaker SPEAKER_05
transcript.pyannote[1765].start 8182.85346875
transcript.pyannote[1765].end 8186.00909375
transcript.pyannote[1766].speaker SPEAKER_05
transcript.pyannote[1766].start 8186.05971875
transcript.pyannote[1766].end 8186.09346875
transcript.pyannote[1767].speaker SPEAKER_08
transcript.pyannote[1767].start 8186.09346875
transcript.pyannote[1767].end 8186.48159375
transcript.pyannote[1768].speaker SPEAKER_05
transcript.pyannote[1768].start 8186.65034375
transcript.pyannote[1768].end 8187.24096875
transcript.pyannote[1769].speaker SPEAKER_08
transcript.pyannote[1769].start 8188.57409375
transcript.pyannote[1769].end 8190.37971875
transcript.pyannote[1770].speaker SPEAKER_05
transcript.pyannote[1770].start 8190.37971875
transcript.pyannote[1770].end 8190.44721875
transcript.pyannote[1771].speaker SPEAKER_08
transcript.pyannote[1771].start 8190.44721875
transcript.pyannote[1771].end 8190.56534375
transcript.pyannote[1772].speaker SPEAKER_05
transcript.pyannote[1772].start 8190.56534375
transcript.pyannote[1772].end 8196.58971875
transcript.pyannote[1773].speaker SPEAKER_08
transcript.pyannote[1773].start 8190.59909375
transcript.pyannote[1773].end 8191.10534375
transcript.pyannote[1774].speaker SPEAKER_08
transcript.pyannote[1774].start 8193.16409375
transcript.pyannote[1774].end 8193.45096875
transcript.pyannote[1775].speaker SPEAKER_08
transcript.pyannote[1775].start 8195.29034375
transcript.pyannote[1775].end 8195.74596875
transcript.pyannote[1776].speaker SPEAKER_05
transcript.pyannote[1776].start 8197.14659375
transcript.pyannote[1776].end 8197.90596875
transcript.pyannote[1777].speaker SPEAKER_05
transcript.pyannote[1777].start 8198.00721875
transcript.pyannote[1777].end 8198.81721875
transcript.pyannote[1778].speaker SPEAKER_05
transcript.pyannote[1778].start 8199.35721875
transcript.pyannote[1778].end 8199.86346875
transcript.pyannote[1779].speaker SPEAKER_05
transcript.pyannote[1779].start 8200.70721875
transcript.pyannote[1779].end 8203.84596875
transcript.pyannote[1780].speaker SPEAKER_05
transcript.pyannote[1780].start 8204.72346875
transcript.pyannote[1780].end 8205.60096875
transcript.pyannote[1781].speaker SPEAKER_05
transcript.pyannote[1781].start 8205.70221875
transcript.pyannote[1781].end 8206.03971875
transcript.pyannote[1782].speaker SPEAKER_05
transcript.pyannote[1782].start 8206.29284375
transcript.pyannote[1782].end 8207.64284375
transcript.pyannote[1783].speaker SPEAKER_05
transcript.pyannote[1783].start 8208.14909375
transcript.pyannote[1783].end 8211.28784375
transcript.pyannote[1784].speaker SPEAKER_05
transcript.pyannote[1784].start 8212.09784375
transcript.pyannote[1784].end 8214.34221875
transcript.pyannote[1785].speaker SPEAKER_05
transcript.pyannote[1785].start 8214.59534375
transcript.pyannote[1785].end 8215.59096875
transcript.pyannote[1786].speaker SPEAKER_08
transcript.pyannote[1786].start 8216.01284375
transcript.pyannote[1786].end 8216.36721875
transcript.pyannote[1787].speaker SPEAKER_05
transcript.pyannote[1787].start 8217.05909375
transcript.pyannote[1787].end 8217.88596875
transcript.pyannote[1788].speaker SPEAKER_05
transcript.pyannote[1788].start 8218.22346875
transcript.pyannote[1788].end 8219.25284375
transcript.pyannote[1789].speaker SPEAKER_05
transcript.pyannote[1789].start 8219.87721875
transcript.pyannote[1789].end 8221.46346875
transcript.pyannote[1790].speaker SPEAKER_05
transcript.pyannote[1790].start 8221.98659375
transcript.pyannote[1790].end 8225.74971875
transcript.pyannote[1791].speaker SPEAKER_05
transcript.pyannote[1791].start 8226.37409375
transcript.pyannote[1791].end 8228.85471875
transcript.pyannote[1792].speaker SPEAKER_05
transcript.pyannote[1792].start 8229.29346875
transcript.pyannote[1792].end 8231.70659375
transcript.pyannote[1793].speaker SPEAKER_05
transcript.pyannote[1793].start 8232.01034375
transcript.pyannote[1793].end 8241.08909375
transcript.pyannote[1794].speaker SPEAKER_05
transcript.pyannote[1794].start 8241.49409375
transcript.pyannote[1794].end 8242.05096875
transcript.pyannote[1795].speaker SPEAKER_05
transcript.pyannote[1795].start 8242.42221875
transcript.pyannote[1795].end 8242.97909375
transcript.pyannote[1796].speaker SPEAKER_05
transcript.pyannote[1796].start 8243.23221875
transcript.pyannote[1796].end 8249.71221875
transcript.pyannote[1797].speaker SPEAKER_08
transcript.pyannote[1797].start 8246.53971875
transcript.pyannote[1797].end 8246.69159375
transcript.pyannote[1798].speaker SPEAKER_08
transcript.pyannote[1798].start 8247.02909375
transcript.pyannote[1798].end 8247.46784375
transcript.pyannote[1799].speaker SPEAKER_05
transcript.pyannote[1799].start 8250.08346875
transcript.pyannote[1799].end 8251.78784375
transcript.pyannote[1800].speaker SPEAKER_05
transcript.pyannote[1800].start 8252.17596875
transcript.pyannote[1800].end 8253.10409375
transcript.pyannote[1801].speaker SPEAKER_05
transcript.pyannote[1801].start 8253.91409375
transcript.pyannote[1801].end 8255.29784375
transcript.pyannote[1802].speaker SPEAKER_05
transcript.pyannote[1802].start 8255.71971875
transcript.pyannote[1802].end 8257.69409375
transcript.pyannote[1803].speaker SPEAKER_05
transcript.pyannote[1803].start 8257.98096875
transcript.pyannote[1803].end 8262.45284375
transcript.pyannote[1804].speaker SPEAKER_04
transcript.pyannote[1804].start 8258.85846875
transcript.pyannote[1804].end 8258.87534375
transcript.pyannote[1805].speaker SPEAKER_08
transcript.pyannote[1805].start 8263.02659375
transcript.pyannote[1805].end 8263.06034375
transcript.pyannote[1806].speaker SPEAKER_05
transcript.pyannote[1806].start 8263.06034375
transcript.pyannote[1806].end 8263.39784375
transcript.pyannote[1807].speaker SPEAKER_08
transcript.pyannote[1807].start 8263.39784375
transcript.pyannote[1807].end 8263.70159375
transcript.pyannote[1808].speaker SPEAKER_05
transcript.pyannote[1808].start 8263.70159375
transcript.pyannote[1808].end 8265.94596875
transcript.pyannote[1809].speaker SPEAKER_05
transcript.pyannote[1809].start 8266.19909375
transcript.pyannote[1809].end 8267.59971875
transcript.pyannote[1810].speaker SPEAKER_08
transcript.pyannote[1810].start 8267.75159375
transcript.pyannote[1810].end 8267.92034375
transcript.pyannote[1811].speaker SPEAKER_05
transcript.pyannote[1811].start 8268.35909375
transcript.pyannote[1811].end 8270.56971875
transcript.pyannote[1812].speaker SPEAKER_08
transcript.pyannote[1812].start 8270.92409375
transcript.pyannote[1812].end 8270.95784375
transcript.pyannote[1813].speaker SPEAKER_05
transcript.pyannote[1813].start 8270.95784375
transcript.pyannote[1813].end 8271.75096875
transcript.pyannote[1814].speaker SPEAKER_05
transcript.pyannote[1814].start 8272.08846875
transcript.pyannote[1814].end 8274.23159375
transcript.pyannote[1815].speaker SPEAKER_05
transcript.pyannote[1815].start 8274.95721875
transcript.pyannote[1815].end 8276.49284375
transcript.pyannote[1816].speaker SPEAKER_05
transcript.pyannote[1816].start 8276.96534375
transcript.pyannote[1816].end 8277.69096875
transcript.pyannote[1817].speaker SPEAKER_05
transcript.pyannote[1817].start 8278.29846875
transcript.pyannote[1817].end 8279.71596875
transcript.pyannote[1818].speaker SPEAKER_08
transcript.pyannote[1818].start 8280.55971875
transcript.pyannote[1818].end 8280.96471875
transcript.pyannote[1819].speaker SPEAKER_08
transcript.pyannote[1819].start 8281.50471875
transcript.pyannote[1819].end 8281.67346875
transcript.pyannote[1820].speaker SPEAKER_08
transcript.pyannote[1820].start 8281.94346875
transcript.pyannote[1820].end 8281.96034375
transcript.pyannote[1821].speaker SPEAKER_05
transcript.pyannote[1821].start 8281.96034375
transcript.pyannote[1821].end 8282.01096875
transcript.pyannote[1822].speaker SPEAKER_08
transcript.pyannote[1822].start 8282.01096875
transcript.pyannote[1822].end 8282.02784375
transcript.pyannote[1823].speaker SPEAKER_05
transcript.pyannote[1823].start 8282.02784375
transcript.pyannote[1823].end 8282.68596875
transcript.pyannote[1824].speaker SPEAKER_08
transcript.pyannote[1824].start 8282.68596875
transcript.pyannote[1824].end 8283.09096875
transcript.pyannote[1825].speaker SPEAKER_05
transcript.pyannote[1825].start 8283.09096875
transcript.pyannote[1825].end 8285.04846875
transcript.pyannote[1826].speaker SPEAKER_05
transcript.pyannote[1826].start 8285.16659375
transcript.pyannote[1826].end 8286.68534375
transcript.pyannote[1827].speaker SPEAKER_05
transcript.pyannote[1827].start 8287.61346875
transcript.pyannote[1827].end 8289.33471875
transcript.pyannote[1828].speaker SPEAKER_08
transcript.pyannote[1828].start 8289.33471875
transcript.pyannote[1828].end 8290.29659375
transcript.pyannote[1829].speaker SPEAKER_05
transcript.pyannote[1829].start 8289.57096875
transcript.pyannote[1829].end 8290.31346875
transcript.pyannote[1830].speaker SPEAKER_08
transcript.pyannote[1830].start 8290.31346875
transcript.pyannote[1830].end 8290.36409375
transcript.pyannote[1831].speaker SPEAKER_05
transcript.pyannote[1831].start 8290.36409375
transcript.pyannote[1831].end 8290.38096875
transcript.pyannote[1832].speaker SPEAKER_05
transcript.pyannote[1832].start 8290.93784375
transcript.pyannote[1832].end 8291.42721875
transcript.pyannote[1833].speaker SPEAKER_05
transcript.pyannote[1833].start 8291.57909375
transcript.pyannote[1833].end 8293.65471875
transcript.pyannote[1834].speaker SPEAKER_08
transcript.pyannote[1834].start 8293.90784375
transcript.pyannote[1834].end 8294.24534375
transcript.pyannote[1835].speaker SPEAKER_05
transcript.pyannote[1835].start 8294.34659375
transcript.pyannote[1835].end 8296.47284375
transcript.pyannote[1836].speaker SPEAKER_08
transcript.pyannote[1836].start 8296.62471875
transcript.pyannote[1836].end 8296.99596875
transcript.pyannote[1837].speaker SPEAKER_05
transcript.pyannote[1837].start 8297.14784375
transcript.pyannote[1837].end 8297.97471875
transcript.pyannote[1838].speaker SPEAKER_05
transcript.pyannote[1838].start 8298.24471875
transcript.pyannote[1838].end 8299.69596875
transcript.pyannote[1839].speaker SPEAKER_05
transcript.pyannote[1839].start 8300.01659375
transcript.pyannote[1839].end 8301.29909375
transcript.pyannote[1840].speaker SPEAKER_05
transcript.pyannote[1840].start 8301.65346875
transcript.pyannote[1840].end 8304.53909375
transcript.pyannote[1841].speaker SPEAKER_05
transcript.pyannote[1841].start 8305.38284375
transcript.pyannote[1841].end 8306.78346875
transcript.pyannote[1842].speaker SPEAKER_08
transcript.pyannote[1842].start 8306.78346875
transcript.pyannote[1842].end 8309.26409375
transcript.pyannote[1843].speaker SPEAKER_08
transcript.pyannote[1843].start 8309.38221875
transcript.pyannote[1843].end 8321.39721875
transcript.pyannote[1844].speaker SPEAKER_05
transcript.pyannote[1844].start 8309.63534375
transcript.pyannote[1844].end 8310.74909375
transcript.pyannote[1845].speaker SPEAKER_05
transcript.pyannote[1845].start 8311.69409375
transcript.pyannote[1845].end 8312.20034375
transcript.pyannote[1846].speaker SPEAKER_09
transcript.pyannote[1846].start 8312.20034375
transcript.pyannote[1846].end 8312.21721875
transcript.pyannote[1847].speaker SPEAKER_05
transcript.pyannote[1847].start 8319.40596875
transcript.pyannote[1847].end 8322.56159375
transcript.pyannote[1848].speaker SPEAKER_08
transcript.pyannote[1848].start 8322.62909375
transcript.pyannote[1848].end 8322.98346875
transcript.pyannote[1849].speaker SPEAKER_05
transcript.pyannote[1849].start 8323.28721875
transcript.pyannote[1849].end 8324.97471875
transcript.pyannote[1850].speaker SPEAKER_05
transcript.pyannote[1850].start 8325.53159375
transcript.pyannote[1850].end 8326.18971875
transcript.pyannote[1851].speaker SPEAKER_05
transcript.pyannote[1851].start 8326.98284375
transcript.pyannote[1851].end 8330.10471875
transcript.pyannote[1852].speaker SPEAKER_05
transcript.pyannote[1852].start 8330.49284375
transcript.pyannote[1852].end 8332.68659375
transcript.pyannote[1853].speaker SPEAKER_05
transcript.pyannote[1853].start 8332.92284375
transcript.pyannote[1853].end 8335.01534375
transcript.pyannote[1854].speaker SPEAKER_05
transcript.pyannote[1854].start 8335.20096875
transcript.pyannote[1854].end 8337.98534375
transcript.pyannote[1855].speaker SPEAKER_05
transcript.pyannote[1855].start 8338.59284375
transcript.pyannote[1855].end 8344.83659375
transcript.pyannote[1856].speaker SPEAKER_08
transcript.pyannote[1856].start 8345.52846875
transcript.pyannote[1856].end 8347.57034375
transcript.pyannote[1857].speaker SPEAKER_05
transcript.pyannote[1857].start 8347.57034375
transcript.pyannote[1857].end 8348.29596875
transcript.pyannote[1858].speaker SPEAKER_08
transcript.pyannote[1858].start 8348.29596875
transcript.pyannote[1858].end 8348.31284375
transcript.pyannote[1859].speaker SPEAKER_08
transcript.pyannote[1859].start 8348.56596875
transcript.pyannote[1859].end 8348.58284375
transcript.pyannote[1860].speaker SPEAKER_05
transcript.pyannote[1860].start 8348.58284375
transcript.pyannote[1860].end 8356.21034375
transcript.pyannote[1861].speaker SPEAKER_05
transcript.pyannote[1861].start 8356.81784375
transcript.pyannote[1861].end 8358.48846875
transcript.pyannote[1862].speaker SPEAKER_05
transcript.pyannote[1862].start 8360.56409375
transcript.pyannote[1862].end 8361.67784375
transcript.pyannote[1863].speaker SPEAKER_08
transcript.pyannote[1863].start 8361.67784375
transcript.pyannote[1863].end 8361.72846875
transcript.pyannote[1864].speaker SPEAKER_08
transcript.pyannote[1864].start 8361.88034375
transcript.pyannote[1864].end 8361.91409375
transcript.pyannote[1865].speaker SPEAKER_05
transcript.pyannote[1865].start 8361.91409375
transcript.pyannote[1865].end 8363.21346875
transcript.pyannote[1866].speaker SPEAKER_08
transcript.pyannote[1866].start 8363.21346875
transcript.pyannote[1866].end 8363.23034375
transcript.pyannote[1867].speaker SPEAKER_05
transcript.pyannote[1867].start 8363.61846875
transcript.pyannote[1867].end 8368.84971875
transcript.pyannote[1868].speaker SPEAKER_08
transcript.pyannote[1868].start 8365.69409375
transcript.pyannote[1868].end 8366.79096875
transcript.pyannote[1869].speaker SPEAKER_05
transcript.pyannote[1869].start 8368.98471875
transcript.pyannote[1869].end 8369.69346875
transcript.pyannote[1870].speaker SPEAKER_05
transcript.pyannote[1870].start 8369.94659375
transcript.pyannote[1870].end 8370.65534375
transcript.pyannote[1871].speaker SPEAKER_05
transcript.pyannote[1871].start 8371.31346875
transcript.pyannote[1871].end 8375.05971875
transcript.pyannote[1872].speaker SPEAKER_05
transcript.pyannote[1872].start 8375.31284375
transcript.pyannote[1872].end 8376.46034375
transcript.pyannote[1873].speaker SPEAKER_05
transcript.pyannote[1873].start 8376.84846875
transcript.pyannote[1873].end 8378.77221875
transcript.pyannote[1874].speaker SPEAKER_05
transcript.pyannote[1874].start 8379.41346875
transcript.pyannote[1874].end 8380.54409375
transcript.pyannote[1875].speaker SPEAKER_05
transcript.pyannote[1875].start 8380.94909375
transcript.pyannote[1875].end 8383.29471875
transcript.pyannote[1876].speaker SPEAKER_05
transcript.pyannote[1876].start 8384.35784375
transcript.pyannote[1876].end 8385.72471875
transcript.pyannote[1877].speaker SPEAKER_05
transcript.pyannote[1877].start 8385.84284375
transcript.pyannote[1877].end 8395.25909375
transcript.pyannote[1878].speaker SPEAKER_08
transcript.pyannote[1878].start 8395.25909375
transcript.pyannote[1878].end 8395.51221875
transcript.pyannote[1879].speaker SPEAKER_05
transcript.pyannote[1879].start 8395.90034375
transcript.pyannote[1879].end 8397.21659375
transcript.pyannote[1880].speaker SPEAKER_05
transcript.pyannote[1880].start 8397.90846875
transcript.pyannote[1880].end 8398.92096875
transcript.pyannote[1881].speaker SPEAKER_05
transcript.pyannote[1881].start 8399.39346875
transcript.pyannote[1881].end 8400.55784375
transcript.pyannote[1882].speaker SPEAKER_05
transcript.pyannote[1882].start 8401.38471875
transcript.pyannote[1882].end 8403.03846875
transcript.pyannote[1883].speaker SPEAKER_05
transcript.pyannote[1883].start 8403.44346875
transcript.pyannote[1883].end 8404.91159375
transcript.pyannote[1884].speaker SPEAKER_05
transcript.pyannote[1884].start 8405.08034375
transcript.pyannote[1884].end 8406.75096875
transcript.pyannote[1885].speaker SPEAKER_05
transcript.pyannote[1885].start 8407.13909375
transcript.pyannote[1885].end 8408.03346875
transcript.pyannote[1886].speaker SPEAKER_05
transcript.pyannote[1886].start 8408.59034375
transcript.pyannote[1886].end 8413.56846875
transcript.pyannote[1887].speaker SPEAKER_08
transcript.pyannote[1887].start 8412.42096875
transcript.pyannote[1887].end 8412.62346875
transcript.pyannote[1888].speaker SPEAKER_08
transcript.pyannote[1888].start 8413.73721875
transcript.pyannote[1888].end 8414.05784375
transcript.pyannote[1889].speaker SPEAKER_05
transcript.pyannote[1889].start 8414.05784375
transcript.pyannote[1889].end 8420.87534375
transcript.pyannote[1890].speaker SPEAKER_08
transcript.pyannote[1890].start 8420.87534375
transcript.pyannote[1890].end 8421.14534375
transcript.pyannote[1891].speaker SPEAKER_05
transcript.pyannote[1891].start 8421.61784375
transcript.pyannote[1891].end 8427.37221875
transcript.pyannote[1892].speaker SPEAKER_05
transcript.pyannote[1892].start 8427.59159375
transcript.pyannote[1892].end 8430.07221875
transcript.pyannote[1893].speaker SPEAKER_05
transcript.pyannote[1893].start 8430.61221875
transcript.pyannote[1893].end 8438.10471875
transcript.pyannote[1894].speaker SPEAKER_05
transcript.pyannote[1894].start 8438.50971875
transcript.pyannote[1894].end 8439.64034375
transcript.pyannote[1895].speaker SPEAKER_05
transcript.pyannote[1895].start 8439.97784375
transcript.pyannote[1895].end 8443.43721875
transcript.pyannote[1896].speaker SPEAKER_05
transcript.pyannote[1896].start 8443.69034375
transcript.pyannote[1896].end 8444.71971875
transcript.pyannote[1897].speaker SPEAKER_05
transcript.pyannote[1897].start 8445.29346875
transcript.pyannote[1897].end 8446.42409375
transcript.pyannote[1898].speaker SPEAKER_05
transcript.pyannote[1898].start 8446.82909375
transcript.pyannote[1898].end 8448.12846875
transcript.pyannote[1899].speaker SPEAKER_05
transcript.pyannote[1899].start 8448.36471875
transcript.pyannote[1899].end 8454.11909375
transcript.pyannote[1900].speaker SPEAKER_05
transcript.pyannote[1900].start 8454.67596875
transcript.pyannote[1900].end 8455.58721875
transcript.pyannote[1901].speaker SPEAKER_05
transcript.pyannote[1901].start 8456.02596875
transcript.pyannote[1901].end 8457.40971875
transcript.pyannote[1902].speaker SPEAKER_05
transcript.pyannote[1902].start 8457.69659375
transcript.pyannote[1902].end 8460.66659375
transcript.pyannote[1903].speaker SPEAKER_05
transcript.pyannote[1903].start 8460.76784375
transcript.pyannote[1903].end 8463.68721875
transcript.pyannote[1904].speaker SPEAKER_05
transcript.pyannote[1904].start 8464.14284375
transcript.pyannote[1904].end 8479.29659375
transcript.pyannote[1905].speaker SPEAKER_05
transcript.pyannote[1905].start 8479.65096875
transcript.pyannote[1905].end 8480.14034375
transcript.pyannote[1906].speaker SPEAKER_08
transcript.pyannote[1906].start 8480.44409375
transcript.pyannote[1906].end 8480.46096875
transcript.pyannote[1907].speaker SPEAKER_05
transcript.pyannote[1907].start 8480.46096875
transcript.pyannote[1907].end 8492.47596875
transcript.pyannote[1908].speaker SPEAKER_05
transcript.pyannote[1908].start 8492.79659375
transcript.pyannote[1908].end 8494.04534375
transcript.pyannote[1909].speaker SPEAKER_08
transcript.pyannote[1909].start 8494.29846875
transcript.pyannote[1909].end 8494.85534375
transcript.pyannote[1910].speaker SPEAKER_05
transcript.pyannote[1910].start 8494.85534375
transcript.pyannote[1910].end 8494.99034375
transcript.pyannote[1911].speaker SPEAKER_08
transcript.pyannote[1911].start 8494.99034375
transcript.pyannote[1911].end 8495.02409375
transcript.pyannote[1912].speaker SPEAKER_05
transcript.pyannote[1912].start 8495.02409375
transcript.pyannote[1912].end 8495.04096875
transcript.pyannote[1913].speaker SPEAKER_08
transcript.pyannote[1913].start 8495.04096875
transcript.pyannote[1913].end 8495.27721875
transcript.pyannote[1914].speaker SPEAKER_05
transcript.pyannote[1914].start 8495.74971875
transcript.pyannote[1914].end 8498.61846875
transcript.pyannote[1915].speaker SPEAKER_05
transcript.pyannote[1915].start 8498.98971875
transcript.pyannote[1915].end 8504.96346875
transcript.pyannote[1916].speaker SPEAKER_08
transcript.pyannote[1916].start 8505.80721875
transcript.pyannote[1916].end 8508.18659375
transcript.pyannote[1917].speaker SPEAKER_08
transcript.pyannote[1917].start 8508.65909375
transcript.pyannote[1917].end 8510.78534375
transcript.pyannote[1918].speaker SPEAKER_08
transcript.pyannote[1918].start 8510.90346875
transcript.pyannote[1918].end 8512.99596875
transcript.pyannote[1919].speaker SPEAKER_08
transcript.pyannote[1919].start 8513.09721875
transcript.pyannote[1919].end 8518.80096875
transcript.pyannote[1920].speaker SPEAKER_05
transcript.pyannote[1920].start 8519.07096875
transcript.pyannote[1920].end 8520.47159375
transcript.pyannote[1921].speaker SPEAKER_05
transcript.pyannote[1921].start 8520.77534375
transcript.pyannote[1921].end 8523.99846875
transcript.pyannote[1922].speaker SPEAKER_05
transcript.pyannote[1922].start 8524.21784375
transcript.pyannote[1922].end 8526.63096875
transcript.pyannote[1923].speaker SPEAKER_05
transcript.pyannote[1923].start 8527.00221875
transcript.pyannote[1923].end 8528.80784375
transcript.pyannote[1924].speaker SPEAKER_05
transcript.pyannote[1924].start 8529.41534375
transcript.pyannote[1924].end 8531.87909375
transcript.pyannote[1925].speaker SPEAKER_05
transcript.pyannote[1925].start 8532.11534375
transcript.pyannote[1925].end 8533.49909375
transcript.pyannote[1926].speaker SPEAKER_05
transcript.pyannote[1926].start 8533.78596875
transcript.pyannote[1926].end 8538.29159375
transcript.pyannote[1927].speaker SPEAKER_05
transcript.pyannote[1927].start 8538.61221875
transcript.pyannote[1927].end 8545.85159375
transcript.pyannote[1928].speaker SPEAKER_05
transcript.pyannote[1928].start 8546.40846875
transcript.pyannote[1928].end 8548.70346875
transcript.pyannote[1929].speaker SPEAKER_05
transcript.pyannote[1929].start 8548.95659375
transcript.pyannote[1929].end 8549.85096875
transcript.pyannote[1930].speaker SPEAKER_05
transcript.pyannote[1930].start 8550.13784375
transcript.pyannote[1930].end 8550.94784375
transcript.pyannote[1931].speaker SPEAKER_09
transcript.pyannote[1931].start 8551.42034375
transcript.pyannote[1931].end 8551.79159375
transcript.pyannote[1932].speaker SPEAKER_05
transcript.pyannote[1932].start 8551.79159375
transcript.pyannote[1932].end 8552.80409375
transcript.pyannote[1933].speaker SPEAKER_05
transcript.pyannote[1933].start 8553.15846875
transcript.pyannote[1933].end 8558.00159375
transcript.pyannote[1934].speaker SPEAKER_09
transcript.pyannote[1934].start 8558.15346875
transcript.pyannote[1934].end 8558.54159375
transcript.pyannote[1935].speaker SPEAKER_09
transcript.pyannote[1935].start 8558.57534375
transcript.pyannote[1935].end 8558.76096875
transcript.pyannote[1936].speaker SPEAKER_05
transcript.pyannote[1936].start 8558.76096875
transcript.pyannote[1936].end 8560.46534375
transcript.pyannote[1937].speaker SPEAKER_05
transcript.pyannote[1937].start 8560.76909375
transcript.pyannote[1937].end 8562.06846875
transcript.pyannote[1938].speaker SPEAKER_05
transcript.pyannote[1938].start 8562.84471875
transcript.pyannote[1938].end 8565.94971875
transcript.pyannote[1939].speaker SPEAKER_05
transcript.pyannote[1939].start 8566.25346875
transcript.pyannote[1939].end 8567.51909375
transcript.pyannote[1940].speaker SPEAKER_05
transcript.pyannote[1940].start 8567.80596875
transcript.pyannote[1940].end 8568.98721875
transcript.pyannote[1941].speaker SPEAKER_05
transcript.pyannote[1941].start 8569.25721875
transcript.pyannote[1941].end 8569.79721875
transcript.pyannote[1942].speaker SPEAKER_05
transcript.pyannote[1942].start 8570.47221875
transcript.pyannote[1942].end 8572.69971875
transcript.pyannote[1943].speaker SPEAKER_08
transcript.pyannote[1943].start 8573.32409375
transcript.pyannote[1943].end 8574.03284375
transcript.pyannote[1944].speaker SPEAKER_08
transcript.pyannote[1944].start 8574.25221875
transcript.pyannote[1944].end 8574.31971875
transcript.pyannote[1945].speaker SPEAKER_05
transcript.pyannote[1945].start 8574.31971875
transcript.pyannote[1945].end 8575.85534375
transcript.pyannote[1946].speaker SPEAKER_05
transcript.pyannote[1946].start 8575.93971875
transcript.pyannote[1946].end 8576.81721875
transcript.pyannote[1947].speaker SPEAKER_05
transcript.pyannote[1947].start 8576.88471875
transcript.pyannote[1947].end 8578.72409375
transcript.pyannote[1948].speaker SPEAKER_05
transcript.pyannote[1948].start 8579.29784375
transcript.pyannote[1948].end 8580.83346875
transcript.pyannote[1949].speaker SPEAKER_05
transcript.pyannote[1949].start 8581.22159375
transcript.pyannote[1949].end 8583.16221875
transcript.pyannote[1950].speaker SPEAKER_05
transcript.pyannote[1950].start 8583.36471875
transcript.pyannote[1950].end 8584.07346875
transcript.pyannote[1951].speaker SPEAKER_05
transcript.pyannote[1951].start 8584.39409375
transcript.pyannote[1951].end 8585.57534375
transcript.pyannote[1952].speaker SPEAKER_05
transcript.pyannote[1952].start 8585.72721875
transcript.pyannote[1952].end 8586.99284375
transcript.pyannote[1953].speaker SPEAKER_05
transcript.pyannote[1953].start 8587.16159375
transcript.pyannote[1953].end 8589.54096875
transcript.pyannote[1954].speaker SPEAKER_05
transcript.pyannote[1954].start 8589.67596875
transcript.pyannote[1954].end 8591.56596875
transcript.pyannote[1955].speaker SPEAKER_08
transcript.pyannote[1955].start 8591.56596875
transcript.pyannote[1955].end 8591.88659375
transcript.pyannote[1956].speaker SPEAKER_05
transcript.pyannote[1956].start 8592.20721875
transcript.pyannote[1956].end 8593.38846875
transcript.pyannote[1957].speaker SPEAKER_08
transcript.pyannote[1957].start 8593.64159375
transcript.pyannote[1957].end 8593.96221875
transcript.pyannote[1958].speaker SPEAKER_09
transcript.pyannote[1958].start 8593.96221875
transcript.pyannote[1958].end 8593.97909375
transcript.pyannote[1959].speaker SPEAKER_05
transcript.pyannote[1959].start 8593.97909375
transcript.pyannote[1959].end 8598.09659375
transcript.pyannote[1960].speaker SPEAKER_05
transcript.pyannote[1960].start 8598.13034375
transcript.pyannote[1960].end 8604.18846875
transcript.pyannote[1961].speaker SPEAKER_05
transcript.pyannote[1961].start 8604.57659375
transcript.pyannote[1961].end 8604.88034375
transcript.pyannote[1962].speaker SPEAKER_05
transcript.pyannote[1962].start 8605.85909375
transcript.pyannote[1962].end 8607.90096875
transcript.pyannote[1963].speaker SPEAKER_05
transcript.pyannote[1963].start 8608.54221875
transcript.pyannote[1963].end 8609.35221875
transcript.pyannote[1964].speaker SPEAKER_05
transcript.pyannote[1964].start 8610.04409375
transcript.pyannote[1964].end 8610.87096875
transcript.pyannote[1965].speaker SPEAKER_05
transcript.pyannote[1965].start 8611.34346875
transcript.pyannote[1965].end 8611.81596875
transcript.pyannote[1966].speaker SPEAKER_05
transcript.pyannote[1966].start 8612.10284375
transcript.pyannote[1966].end 8613.80721875
transcript.pyannote[1967].speaker SPEAKER_05
transcript.pyannote[1967].start 8614.31346875
transcript.pyannote[1967].end 8615.74784375
transcript.pyannote[1968].speaker SPEAKER_05
transcript.pyannote[1968].start 8617.21596875
transcript.pyannote[1968].end 8618.36346875
transcript.pyannote[1969].speaker SPEAKER_05
transcript.pyannote[1969].start 8619.19034375
transcript.pyannote[1969].end 8621.51909375
transcript.pyannote[1970].speaker SPEAKER_05
transcript.pyannote[1970].start 8621.94096875
transcript.pyannote[1970].end 8626.24409375
transcript.pyannote[1971].speaker SPEAKER_05
transcript.pyannote[1971].start 8626.61534375
transcript.pyannote[1971].end 8635.67721875
transcript.pyannote[1972].speaker SPEAKER_05
transcript.pyannote[1972].start 8636.41971875
transcript.pyannote[1972].end 8639.60909375
transcript.pyannote[1973].speaker SPEAKER_05
transcript.pyannote[1973].start 8640.04784375
transcript.pyannote[1973].end 8641.06034375
transcript.pyannote[1974].speaker SPEAKER_05
transcript.pyannote[1974].start 8641.78596875
transcript.pyannote[1974].end 8643.97971875
transcript.pyannote[1975].speaker SPEAKER_08
transcript.pyannote[1975].start 8644.82346875
transcript.pyannote[1975].end 8647.06784375
transcript.pyannote[1976].speaker SPEAKER_05
transcript.pyannote[1976].start 8647.32096875
transcript.pyannote[1976].end 8649.02534375
transcript.pyannote[1977].speaker SPEAKER_05
transcript.pyannote[1977].start 8649.29534375
transcript.pyannote[1977].end 8656.28159375
transcript.pyannote[1978].speaker SPEAKER_05
transcript.pyannote[1978].start 8656.73721875
transcript.pyannote[1978].end 8665.84971875
transcript.pyannote[1979].speaker SPEAKER_05
transcript.pyannote[1979].start 8665.98471875
transcript.pyannote[1979].end 8666.03534375
transcript.pyannote[1980].speaker SPEAKER_05
transcript.pyannote[1980].start 8666.08596875
transcript.pyannote[1980].end 8666.52471875
transcript.pyannote[1981].speaker SPEAKER_08
transcript.pyannote[1981].start 8666.74409375
transcript.pyannote[1981].end 8666.92971875
transcript.pyannote[1982].speaker SPEAKER_09
transcript.pyannote[1982].start 8666.92971875
transcript.pyannote[1982].end 8666.94659375
transcript.pyannote[1983].speaker SPEAKER_05
transcript.pyannote[1983].start 8667.30096875
transcript.pyannote[1983].end 8668.39784375
transcript.pyannote[1984].speaker SPEAKER_08
transcript.pyannote[1984].start 8668.81971875
transcript.pyannote[1984].end 8669.15721875
transcript.pyannote[1985].speaker SPEAKER_08
transcript.pyannote[1985].start 8669.54534375
transcript.pyannote[1985].end 8669.84909375
transcript.pyannote[1986].speaker SPEAKER_08
transcript.pyannote[1986].start 8670.20346875
transcript.pyannote[1986].end 8670.74346875
transcript.pyannote[1987].speaker SPEAKER_08
transcript.pyannote[1987].start 8671.85721875
transcript.pyannote[1987].end 8678.55659375
transcript.pyannote[1988].speaker SPEAKER_08
transcript.pyannote[1988].start 8678.86034375
transcript.pyannote[1988].end 8681.52659375
transcript.pyannote[1989].speaker SPEAKER_08
transcript.pyannote[1989].start 8681.94846875
transcript.pyannote[1989].end 8682.53909375
transcript.pyannote[1990].speaker SPEAKER_08
transcript.pyannote[1990].start 8682.96096875
transcript.pyannote[1990].end 8685.03659375
transcript.pyannote[1991].speaker SPEAKER_05
transcript.pyannote[1991].start 8685.03659375
transcript.pyannote[1991].end 8685.61034375
transcript.pyannote[1992].speaker SPEAKER_05
transcript.pyannote[1992].start 8686.21784375
transcript.pyannote[1992].end 8689.18784375
transcript.pyannote[1993].speaker SPEAKER_05
transcript.pyannote[1993].start 8689.27221875
transcript.pyannote[1993].end 8696.17409375
transcript.pyannote[1994].speaker SPEAKER_05
transcript.pyannote[1994].start 8696.52846875
transcript.pyannote[1994].end 8698.28346875
transcript.pyannote[1995].speaker SPEAKER_05
transcript.pyannote[1995].start 8698.63784375
transcript.pyannote[1995].end 8702.65409375
transcript.pyannote[1996].speaker SPEAKER_05
transcript.pyannote[1996].start 8703.10971875
transcript.pyannote[1996].end 8708.23971875
transcript.pyannote[1997].speaker SPEAKER_05
transcript.pyannote[1997].start 8708.88096875
transcript.pyannote[1997].end 8710.58534375
transcript.pyannote[1998].speaker SPEAKER_05
transcript.pyannote[1998].start 8710.80471875
transcript.pyannote[1998].end 8711.91846875
transcript.pyannote[1999].speaker SPEAKER_05
transcript.pyannote[1999].start 8712.10409375
transcript.pyannote[1999].end 8712.57659375
transcript.pyannote[2000].speaker SPEAKER_05
transcript.pyannote[2000].start 8712.77909375
transcript.pyannote[2000].end 8714.53409375
transcript.pyannote[2001].speaker SPEAKER_08
transcript.pyannote[2001].start 8715.15846875
transcript.pyannote[2001].end 8718.71909375
transcript.pyannote[2002].speaker SPEAKER_08
transcript.pyannote[2002].start 8719.00596875
transcript.pyannote[2002].end 8719.63034375
transcript.pyannote[2003].speaker SPEAKER_08
transcript.pyannote[2003].start 8719.93409375
transcript.pyannote[2003].end 8724.11909375
transcript.pyannote[2004].speaker SPEAKER_08
transcript.pyannote[2004].start 8724.35534375
transcript.pyannote[2004].end 8725.03034375
transcript.pyannote[2005].speaker SPEAKER_08
transcript.pyannote[2005].start 8725.41846875
transcript.pyannote[2005].end 8728.55721875
transcript.pyannote[2006].speaker SPEAKER_05
transcript.pyannote[2006].start 8728.79346875
transcript.pyannote[2006].end 8736.30284375
transcript.pyannote[2007].speaker SPEAKER_05
transcript.pyannote[2007].start 8736.35346875
transcript.pyannote[2007].end 8737.29846875
transcript.pyannote[2008].speaker SPEAKER_05
transcript.pyannote[2008].start 8737.55159375
transcript.pyannote[2008].end 8739.76221875
transcript.pyannote[2009].speaker SPEAKER_08
transcript.pyannote[2009].start 8741.17971875
transcript.pyannote[2009].end 8743.42409375
transcript.pyannote[2010].speaker SPEAKER_08
transcript.pyannote[2010].start 8743.84596875
transcript.pyannote[2010].end 8747.03534375
transcript.pyannote[2011].speaker SPEAKER_05
transcript.pyannote[2011].start 8747.03534375
transcript.pyannote[2011].end 8761.61534375
transcript.pyannote[2012].speaker SPEAKER_08
transcript.pyannote[2012].start 8747.52471875
transcript.pyannote[2012].end 8748.08159375
transcript.pyannote[2013].speaker SPEAKER_05
transcript.pyannote[2013].start 8761.80096875
transcript.pyannote[2013].end 8765.12534375
transcript.pyannote[2014].speaker SPEAKER_05
transcript.pyannote[2014].start 8765.29409375
transcript.pyannote[2014].end 8772.70221875
transcript.pyannote[2015].speaker SPEAKER_05
transcript.pyannote[2015].start 8773.03971875
transcript.pyannote[2015].end 8775.57096875
transcript.pyannote[2016].speaker SPEAKER_05
transcript.pyannote[2016].start 8775.70596875
transcript.pyannote[2016].end 8787.56909375
transcript.pyannote[2017].speaker SPEAKER_05
transcript.pyannote[2017].start 8788.07534375
transcript.pyannote[2017].end 8789.45909375
transcript.pyannote[2018].speaker SPEAKER_05
transcript.pyannote[2018].start 8790.11721875
transcript.pyannote[2018].end 8792.54721875
transcript.pyannote[2019].speaker SPEAKER_05
transcript.pyannote[2019].start 8793.03659375
transcript.pyannote[2019].end 8793.05346875
transcript.pyannote[2020].speaker SPEAKER_08
transcript.pyannote[2020].start 8793.05346875
transcript.pyannote[2020].end 8793.08721875
transcript.pyannote[2021].speaker SPEAKER_05
transcript.pyannote[2021].start 8793.08721875
transcript.pyannote[2021].end 8793.18846875
transcript.pyannote[2022].speaker SPEAKER_08
transcript.pyannote[2022].start 8793.18846875
transcript.pyannote[2022].end 8793.20534375
transcript.pyannote[2023].speaker SPEAKER_05
transcript.pyannote[2023].start 8793.20534375
transcript.pyannote[2023].end 8793.22221875
transcript.pyannote[2024].speaker SPEAKER_05
transcript.pyannote[2024].start 8793.47534375
transcript.pyannote[2024].end 8794.50471875
transcript.pyannote[2025].speaker SPEAKER_08
transcript.pyannote[2025].start 8795.06159375
transcript.pyannote[2025].end 8795.36534375
transcript.pyannote[2026].speaker SPEAKER_08
transcript.pyannote[2026].start 8796.36096875
transcript.pyannote[2026].end 8797.32284375
transcript.pyannote[2027].speaker SPEAKER_08
transcript.pyannote[2027].start 8797.69409375
transcript.pyannote[2027].end 8799.73596875
transcript.pyannote[2028].speaker SPEAKER_08
transcript.pyannote[2028].start 8799.88784375
transcript.pyannote[2028].end 8803.38096875
transcript.pyannote[2029].speaker SPEAKER_05
transcript.pyannote[2029].start 8802.77346875
transcript.pyannote[2029].end 8806.63784375
transcript.pyannote[2030].speaker SPEAKER_05
transcript.pyannote[2030].start 8807.59971875
transcript.pyannote[2030].end 8816.02034375
transcript.pyannote[2031].speaker SPEAKER_05
transcript.pyannote[2031].start 8816.34096875
transcript.pyannote[2031].end 8816.96534375
transcript.pyannote[2032].speaker SPEAKER_05
transcript.pyannote[2032].start 8817.64034375
transcript.pyannote[2032].end 8819.61471875
transcript.pyannote[2033].speaker SPEAKER_05
transcript.pyannote[2033].start 8819.83409375
transcript.pyannote[2033].end 8825.13284375
transcript.pyannote[2034].speaker SPEAKER_08
transcript.pyannote[2034].start 8826.38159375
transcript.pyannote[2034].end 8831.49471875
transcript.pyannote[2035].speaker SPEAKER_05
transcript.pyannote[2035].start 8831.89971875
transcript.pyannote[2035].end 8836.84409375
transcript.pyannote[2036].speaker SPEAKER_05
transcript.pyannote[2036].start 8837.14784375
transcript.pyannote[2036].end 8840.59034375
transcript.pyannote[2037].speaker SPEAKER_05
transcript.pyannote[2037].start 8840.79284375
transcript.pyannote[2037].end 8841.97409375
transcript.pyannote[2038].speaker SPEAKER_05
transcript.pyannote[2038].start 8842.15971875
transcript.pyannote[2038].end 8845.28159375
transcript.pyannote[2039].speaker SPEAKER_05
transcript.pyannote[2039].start 8845.45034375
transcript.pyannote[2039].end 8846.15909375
transcript.pyannote[2040].speaker SPEAKER_05
transcript.pyannote[2040].start 8846.85096875
transcript.pyannote[2040].end 8848.45409375
transcript.pyannote[2041].speaker SPEAKER_05
transcript.pyannote[2041].start 8848.77471875
transcript.pyannote[2041].end 8849.38221875
transcript.pyannote[2042].speaker SPEAKER_05
transcript.pyannote[2042].start 8849.50034375
transcript.pyannote[2042].end 8850.41159375
transcript.pyannote[2043].speaker SPEAKER_05
transcript.pyannote[2043].start 8850.64784375
transcript.pyannote[2043].end 8854.27596875
transcript.pyannote[2044].speaker SPEAKER_05
transcript.pyannote[2044].start 8855.05221875
transcript.pyannote[2044].end 8856.25034375
transcript.pyannote[2045].speaker SPEAKER_08
transcript.pyannote[2045].start 8856.90846875
transcript.pyannote[2045].end 8858.59596875
transcript.pyannote[2046].speaker SPEAKER_08
transcript.pyannote[2046].start 8858.88284375
transcript.pyannote[2046].end 8869.80096875
transcript.pyannote[2047].speaker SPEAKER_05
transcript.pyannote[2047].start 8869.10909375
transcript.pyannote[2047].end 8871.67409375
transcript.pyannote[2048].speaker SPEAKER_08
transcript.pyannote[2048].start 8872.01159375
transcript.pyannote[2048].end 8882.00159375
transcript.pyannote[2049].speaker SPEAKER_05
transcript.pyannote[2049].start 8880.41534375
transcript.pyannote[2049].end 8882.27159375
transcript.pyannote[2050].speaker SPEAKER_08
transcript.pyannote[2050].start 8882.27159375
transcript.pyannote[2050].end 8882.28846875
transcript.pyannote[2051].speaker SPEAKER_05
transcript.pyannote[2051].start 8882.28846875
transcript.pyannote[2051].end 8883.73971875
transcript.pyannote[2052].speaker SPEAKER_08
transcript.pyannote[2052].start 8882.54159375
transcript.pyannote[2052].end 8882.59221875
transcript.pyannote[2053].speaker SPEAKER_08
transcript.pyannote[2053].start 8884.41471875
transcript.pyannote[2053].end 8885.22471875
transcript.pyannote[2054].speaker SPEAKER_05
transcript.pyannote[2054].start 8885.22471875
transcript.pyannote[2054].end 8885.25846875
transcript.pyannote[2055].speaker SPEAKER_08
transcript.pyannote[2055].start 8885.25846875
transcript.pyannote[2055].end 8886.37221875
transcript.pyannote[2056].speaker SPEAKER_05
transcript.pyannote[2056].start 8885.86596875
transcript.pyannote[2056].end 8886.40596875
transcript.pyannote[2057].speaker SPEAKER_08
transcript.pyannote[2057].start 8886.40596875
transcript.pyannote[2057].end 8886.49034375
transcript.pyannote[2058].speaker SPEAKER_05
transcript.pyannote[2058].start 8886.49034375
transcript.pyannote[2058].end 8888.26221875
transcript.pyannote[2059].speaker SPEAKER_05
transcript.pyannote[2059].start 8888.49846875
transcript.pyannote[2059].end 8895.26534375
transcript.pyannote[2060].speaker SPEAKER_05
transcript.pyannote[2060].start 8895.46784375
transcript.pyannote[2060].end 8898.70784375
transcript.pyannote[2061].speaker SPEAKER_05
transcript.pyannote[2061].start 8898.97784375
transcript.pyannote[2061].end 8904.09096875
transcript.pyannote[2062].speaker SPEAKER_05
transcript.pyannote[2062].start 8904.90096875
transcript.pyannote[2062].end 8907.73596875
transcript.pyannote[2063].speaker SPEAKER_05
transcript.pyannote[2063].start 8908.07346875
transcript.pyannote[2063].end 8911.68471875
transcript.pyannote[2064].speaker SPEAKER_08
transcript.pyannote[2064].start 8911.97159375
transcript.pyannote[2064].end 8918.13096875
transcript.pyannote[2065].speaker SPEAKER_08
transcript.pyannote[2065].start 8918.38409375
transcript.pyannote[2065].end 8921.74221875
transcript.pyannote[2066].speaker SPEAKER_08
transcript.pyannote[2066].start 8921.82659375
transcript.pyannote[2066].end 8925.84284375
transcript.pyannote[2067].speaker SPEAKER_05
transcript.pyannote[2067].start 8921.89409375
transcript.pyannote[2067].end 8922.21471875
transcript.pyannote[2068].speaker SPEAKER_05
transcript.pyannote[2068].start 8924.12159375
transcript.pyannote[2068].end 8928.71159375
transcript.pyannote[2069].speaker SPEAKER_08
transcript.pyannote[2069].start 8927.76659375
transcript.pyannote[2069].end 8940.87846875
transcript.pyannote[2070].speaker SPEAKER_05
transcript.pyannote[2070].start 8939.88284375
transcript.pyannote[2070].end 8942.53221875
transcript.pyannote[2071].speaker SPEAKER_08
transcript.pyannote[2071].start 8941.14846875
transcript.pyannote[2071].end 8941.80659375
transcript.pyannote[2072].speaker SPEAKER_08
transcript.pyannote[2072].start 8942.46471875
transcript.pyannote[2072].end 8951.57721875
transcript.pyannote[2073].speaker SPEAKER_05
transcript.pyannote[2073].start 8951.57721875
transcript.pyannote[2073].end 8962.47846875
transcript.pyannote[2074].speaker SPEAKER_05
transcript.pyannote[2074].start 8963.01846875
transcript.pyannote[2074].end 8966.44409375
transcript.pyannote[2075].speaker SPEAKER_05
transcript.pyannote[2075].start 8966.68034375
transcript.pyannote[2075].end 8971.01721875
transcript.pyannote[2076].speaker SPEAKER_08
transcript.pyannote[2076].start 8971.54034375
transcript.pyannote[2076].end 8995.53659375
transcript.pyannote[2077].speaker SPEAKER_00
transcript.pyannote[2077].start 8979.91034375
transcript.pyannote[2077].end 8980.82159375
transcript.pyannote[2078].speaker SPEAKER_00
transcript.pyannote[2078].start 8983.16721875
transcript.pyannote[2078].end 8983.33596875
transcript.pyannote[2079].speaker SPEAKER_05
transcript.pyannote[2079].start 8992.04346875
transcript.pyannote[2079].end 8992.53284375
transcript.pyannote[2080].speaker SPEAKER_05
transcript.pyannote[2080].start 8992.88721875
transcript.pyannote[2080].end 8999.82284375
transcript.pyannote[2081].speaker SPEAKER_05
transcript.pyannote[2081].start 9000.07596875
transcript.pyannote[2081].end 9002.05034375
transcript.pyannote[2082].speaker SPEAKER_05
transcript.pyannote[2082].start 9002.32034375
transcript.pyannote[2082].end 9005.88096875
transcript.pyannote[2083].speaker SPEAKER_05
transcript.pyannote[2083].start 9006.18471875
transcript.pyannote[2083].end 9008.78346875
transcript.pyannote[2084].speaker SPEAKER_08
transcript.pyannote[2084].start 9006.21846875
transcript.pyannote[2084].end 9008.22659375
transcript.pyannote[2085].speaker SPEAKER_08
transcript.pyannote[2085].start 9009.42471875
transcript.pyannote[2085].end 9019.66784375
transcript.pyannote[2086].speaker SPEAKER_08
transcript.pyannote[2086].start 9020.02221875
transcript.pyannote[2086].end 9020.10659375
transcript.pyannote[2087].speaker SPEAKER_05
transcript.pyannote[2087].start 9020.10659375
transcript.pyannote[2087].end 9020.93346875
transcript.pyannote[2088].speaker SPEAKER_08
transcript.pyannote[2088].start 9020.93346875
transcript.pyannote[2088].end 9021.25409375
transcript.pyannote[2089].speaker SPEAKER_05
transcript.pyannote[2089].start 9021.25409375
transcript.pyannote[2089].end 9025.25346875
transcript.pyannote[2090].speaker SPEAKER_08
transcript.pyannote[2090].start 9021.33846875
transcript.pyannote[2090].end 9021.40596875
transcript.pyannote[2091].speaker SPEAKER_08
transcript.pyannote[2091].start 9021.77721875
transcript.pyannote[2091].end 9027.19409375
transcript.pyannote[2092].speaker SPEAKER_05
transcript.pyannote[2092].start 9026.62034375
transcript.pyannote[2092].end 9029.52284375
transcript.pyannote[2093].speaker SPEAKER_05
transcript.pyannote[2093].start 9030.07971875
transcript.pyannote[2093].end 9032.81346875
transcript.pyannote[2094].speaker SPEAKER_05
transcript.pyannote[2094].start 9033.75846875
transcript.pyannote[2094].end 9041.82471875
transcript.pyannote[2095].speaker SPEAKER_05
transcript.pyannote[2095].start 9042.68534375
transcript.pyannote[2095].end 9046.27971875
transcript.pyannote[2096].speaker SPEAKER_05
transcript.pyannote[2096].start 9046.63409375
transcript.pyannote[2096].end 9056.28659375
transcript.pyannote[2097].speaker SPEAKER_05
transcript.pyannote[2097].start 9056.47221875
transcript.pyannote[2097].end 9057.97409375
transcript.pyannote[2098].speaker SPEAKER_08
transcript.pyannote[2098].start 9057.97409375
transcript.pyannote[2098].end 9060.45471875
transcript.pyannote[2099].speaker SPEAKER_05
transcript.pyannote[2099].start 9059.88096875
transcript.pyannote[2099].end 9060.42096875
transcript.pyannote[2100].speaker SPEAKER_05
transcript.pyannote[2100].start 9060.45471875
transcript.pyannote[2100].end 9060.97784375
transcript.pyannote[2101].speaker SPEAKER_08
transcript.pyannote[2101].start 9060.97784375
transcript.pyannote[2101].end 9061.02846875
transcript.pyannote[2102].speaker SPEAKER_05
transcript.pyannote[2102].start 9061.02846875
transcript.pyannote[2102].end 9061.70346875
transcript.pyannote[2103].speaker SPEAKER_08
transcript.pyannote[2103].start 9062.41221875
transcript.pyannote[2103].end 9062.42909375
transcript.pyannote[2104].speaker SPEAKER_05
transcript.pyannote[2104].start 9062.42909375
transcript.pyannote[2104].end 9063.67784375
transcript.pyannote[2105].speaker SPEAKER_05
transcript.pyannote[2105].start 9064.52159375
transcript.pyannote[2105].end 9066.61409375
transcript.pyannote[2106].speaker SPEAKER_05
transcript.pyannote[2106].start 9067.35659375
transcript.pyannote[2106].end 9067.89659375
transcript.pyannote[2107].speaker SPEAKER_05
transcript.pyannote[2107].start 9068.23409375
transcript.pyannote[2107].end 9069.46596875
transcript.pyannote[2108].speaker SPEAKER_05
transcript.pyannote[2108].start 9070.32659375
transcript.pyannote[2108].end 9071.30534375
transcript.pyannote[2109].speaker SPEAKER_05
transcript.pyannote[2109].start 9071.81159375
transcript.pyannote[2109].end 9074.71409375
transcript.pyannote[2110].speaker SPEAKER_05
transcript.pyannote[2110].start 9074.95034375
transcript.pyannote[2110].end 9077.80221875
transcript.pyannote[2111].speaker SPEAKER_05
transcript.pyannote[2111].start 9078.15659375
transcript.pyannote[2111].end 9079.81034375
transcript.pyannote[2112].speaker SPEAKER_05
transcript.pyannote[2112].start 9080.18159375
transcript.pyannote[2112].end 9080.89034375
transcript.pyannote[2113].speaker SPEAKER_05
transcript.pyannote[2113].start 9081.24471875
transcript.pyannote[2113].end 9082.10534375
transcript.pyannote[2114].speaker SPEAKER_05
transcript.pyannote[2114].start 9082.51034375
transcript.pyannote[2114].end 9083.28659375
transcript.pyannote[2115].speaker SPEAKER_05
transcript.pyannote[2115].start 9083.47221875
transcript.pyannote[2115].end 9087.70784375
transcript.pyannote[2116].speaker SPEAKER_05
transcript.pyannote[2116].start 9088.43346875
transcript.pyannote[2116].end 9088.51784375
transcript.pyannote[2117].speaker SPEAKER_08
transcript.pyannote[2117].start 9088.51784375
transcript.pyannote[2117].end 9088.55159375
transcript.pyannote[2118].speaker SPEAKER_05
transcript.pyannote[2118].start 9088.55159375
transcript.pyannote[2118].end 9088.97346875
transcript.pyannote[2119].speaker SPEAKER_08
transcript.pyannote[2119].start 9088.97346875
transcript.pyannote[2119].end 9089.63159375
transcript.pyannote[2120].speaker SPEAKER_08
transcript.pyannote[2120].start 9090.55971875
transcript.pyannote[2120].end 9105.84846875
transcript.pyannote[2121].speaker SPEAKER_05
transcript.pyannote[2121].start 9104.32971875
transcript.pyannote[2121].end 9105.67971875
transcript.pyannote[2122].speaker SPEAKER_05
transcript.pyannote[2122].start 9105.73034375
transcript.pyannote[2122].end 9109.54409375
transcript.pyannote[2123].speaker SPEAKER_08
transcript.pyannote[2123].start 9108.39659375
transcript.pyannote[2123].end 9108.97034375
transcript.pyannote[2124].speaker SPEAKER_05
transcript.pyannote[2124].start 9110.01659375
transcript.pyannote[2124].end 9112.24409375
transcript.pyannote[2125].speaker SPEAKER_05
transcript.pyannote[2125].start 9112.64909375
transcript.pyannote[2125].end 9116.44596875
transcript.pyannote[2126].speaker SPEAKER_05
transcript.pyannote[2126].start 9116.80034375
transcript.pyannote[2126].end 9118.60596875
transcript.pyannote[2127].speaker SPEAKER_05
transcript.pyannote[2127].start 9118.67346875
transcript.pyannote[2127].end 9120.81659375
transcript.pyannote[2128].speaker SPEAKER_05
transcript.pyannote[2128].start 9121.54221875
transcript.pyannote[2128].end 9127.63409375
transcript.pyannote[2129].speaker SPEAKER_09
transcript.pyannote[2129].start 9127.75221875
transcript.pyannote[2129].end 9127.76909375
transcript.pyannote[2130].speaker SPEAKER_05
transcript.pyannote[2130].start 9127.76909375
transcript.pyannote[2130].end 9136.37534375
transcript.pyannote[2131].speaker SPEAKER_08
transcript.pyannote[2131].start 9138.24846875
transcript.pyannote[2131].end 9139.04159375
transcript.pyannote[2132].speaker SPEAKER_08
transcript.pyannote[2132].start 9139.56471875
transcript.pyannote[2132].end 9148.35659375
transcript.pyannote[2133].speaker SPEAKER_05
transcript.pyannote[2133].start 9144.44159375
transcript.pyannote[2133].end 9154.54971875
transcript.pyannote[2134].speaker SPEAKER_08
transcript.pyannote[2134].start 9149.74034375
transcript.pyannote[2134].end 9151.64721875
transcript.pyannote[2135].speaker SPEAKER_05
transcript.pyannote[2135].start 9155.00534375
transcript.pyannote[2135].end 9158.11034375
transcript.pyannote[2136].speaker SPEAKER_05
transcript.pyannote[2136].start 9158.29596875
transcript.pyannote[2136].end 9159.86534375
transcript.pyannote[2137].speaker SPEAKER_05
transcript.pyannote[2137].start 9159.96659375
transcript.pyannote[2137].end 9161.09721875
transcript.pyannote[2138].speaker SPEAKER_05
transcript.pyannote[2138].start 9161.31659375
transcript.pyannote[2138].end 9162.75096875
transcript.pyannote[2139].speaker SPEAKER_05
transcript.pyannote[2139].start 9163.89846875
transcript.pyannote[2139].end 9165.75471875
transcript.pyannote[2140].speaker SPEAKER_05
transcript.pyannote[2140].start 9166.69971875
transcript.pyannote[2140].end 9168.01596875
transcript.pyannote[2141].speaker SPEAKER_08
transcript.pyannote[2141].start 9168.28596875
transcript.pyannote[2141].end 9180.55409375
transcript.pyannote[2142].speaker SPEAKER_05
transcript.pyannote[2142].start 9169.02846875
transcript.pyannote[2142].end 9169.24784375
transcript.pyannote[2143].speaker SPEAKER_08
transcript.pyannote[2143].start 9180.67221875
transcript.pyannote[2143].end 9185.80221875
transcript.pyannote[2144].speaker SPEAKER_05
transcript.pyannote[2144].start 9185.70096875
transcript.pyannote[2144].end 9187.13534375
transcript.pyannote[2145].speaker SPEAKER_05
transcript.pyannote[2145].start 9188.04659375
transcript.pyannote[2145].end 9189.07596875
transcript.pyannote[2146].speaker SPEAKER_05
transcript.pyannote[2146].start 9190.24034375
transcript.pyannote[2146].end 9198.89721875
transcript.pyannote[2147].speaker SPEAKER_08
transcript.pyannote[2147].start 9195.97784375
transcript.pyannote[2147].end 9196.26471875
transcript.pyannote[2148].speaker SPEAKER_05
transcript.pyannote[2148].start 9199.15034375
transcript.pyannote[2148].end 9201.64784375
transcript.pyannote[2149].speaker SPEAKER_05
transcript.pyannote[2149].start 9201.81659375
transcript.pyannote[2149].end 9202.08659375
transcript.pyannote[2150].speaker SPEAKER_05
transcript.pyannote[2150].start 9202.86284375
transcript.pyannote[2150].end 9204.70221875
transcript.pyannote[2151].speaker SPEAKER_05
transcript.pyannote[2151].start 9204.93846875
transcript.pyannote[2151].end 9206.62596875
transcript.pyannote[2152].speaker SPEAKER_05
transcript.pyannote[2152].start 9206.92971875
transcript.pyannote[2152].end 9207.94221875
transcript.pyannote[2153].speaker SPEAKER_05
transcript.pyannote[2153].start 9208.44846875
transcript.pyannote[2153].end 9209.37659375
transcript.pyannote[2154].speaker SPEAKER_05
transcript.pyannote[2154].start 9209.74784375
transcript.pyannote[2154].end 9210.35534375
transcript.pyannote[2155].speaker SPEAKER_05
transcript.pyannote[2155].start 9210.91221875
transcript.pyannote[2155].end 9211.97534375
transcript.pyannote[2156].speaker SPEAKER_05
transcript.pyannote[2156].start 9212.63346875
transcript.pyannote[2156].end 9214.10159375
transcript.pyannote[2157].speaker SPEAKER_05
transcript.pyannote[2157].start 9214.67534375
transcript.pyannote[2157].end 9216.14346875
transcript.pyannote[2158].speaker SPEAKER_05
transcript.pyannote[2158].start 9216.70034375
transcript.pyannote[2158].end 9218.45534375
transcript.pyannote[2159].speaker SPEAKER_05
transcript.pyannote[2159].start 9218.97846875
transcript.pyannote[2159].end 9222.53909375
transcript.pyannote[2160].speaker SPEAKER_08
transcript.pyannote[2160].start 9223.53471875
transcript.pyannote[2160].end 9231.88784375
transcript.pyannote[2161].speaker SPEAKER_05
transcript.pyannote[2161].start 9226.58909375
transcript.pyannote[2161].end 9228.02346875
transcript.pyannote[2162].speaker SPEAKER_05
transcript.pyannote[2162].start 9231.95534375
transcript.pyannote[2162].end 9234.38534375
transcript.pyannote[2163].speaker SPEAKER_05
transcript.pyannote[2163].start 9234.73971875
transcript.pyannote[2163].end 9235.60034375
transcript.pyannote[2164].speaker SPEAKER_05
transcript.pyannote[2164].start 9235.97159375
transcript.pyannote[2164].end 9238.78971875
transcript.pyannote[2165].speaker SPEAKER_05
transcript.pyannote[2165].start 9238.94159375
transcript.pyannote[2165].end 9240.37596875
transcript.pyannote[2166].speaker SPEAKER_05
transcript.pyannote[2166].start 9240.88221875
transcript.pyannote[2166].end 9245.08409375
transcript.pyannote[2167].speaker SPEAKER_05
transcript.pyannote[2167].start 9245.28659375
transcript.pyannote[2167].end 9246.40034375
transcript.pyannote[2168].speaker SPEAKER_05
transcript.pyannote[2168].start 9246.83909375
transcript.pyannote[2168].end 9249.85971875
transcript.pyannote[2169].speaker SPEAKER_05
transcript.pyannote[2169].start 9250.24784375
transcript.pyannote[2169].end 9251.68221875
transcript.pyannote[2170].speaker SPEAKER_05
transcript.pyannote[2170].start 9252.03659375
transcript.pyannote[2170].end 9252.81284375
transcript.pyannote[2171].speaker SPEAKER_05
transcript.pyannote[2171].start 9253.52159375
transcript.pyannote[2171].end 9258.60096875
transcript.pyannote[2172].speaker SPEAKER_05
transcript.pyannote[2172].start 9258.90471875
transcript.pyannote[2172].end 9261.84096875
transcript.pyannote[2173].speaker SPEAKER_05
transcript.pyannote[2173].start 9262.75221875
transcript.pyannote[2173].end 9262.76909375
transcript.pyannote[2174].speaker SPEAKER_08
transcript.pyannote[2174].start 9262.76909375
transcript.pyannote[2174].end 9269.09721875
transcript.pyannote[2175].speaker SPEAKER_05
transcript.pyannote[2175].start 9268.43909375
transcript.pyannote[2175].end 9273.18096875
transcript.pyannote[2176].speaker SPEAKER_05
transcript.pyannote[2176].start 9273.38346875
transcript.pyannote[2176].end 9278.96909375
transcript.pyannote[2177].speaker SPEAKER_05
transcript.pyannote[2177].start 9279.54284375
transcript.pyannote[2177].end 9280.60596875
transcript.pyannote[2178].speaker SPEAKER_08
transcript.pyannote[2178].start 9279.61034375
transcript.pyannote[2178].end 9280.57221875
transcript.pyannote[2179].speaker SPEAKER_08
transcript.pyannote[2179].start 9280.60596875
transcript.pyannote[2179].end 9280.69034375
transcript.pyannote[2180].speaker SPEAKER_05
transcript.pyannote[2180].start 9280.69034375
transcript.pyannote[2180].end 9280.72409375
transcript.pyannote[2181].speaker SPEAKER_08
transcript.pyannote[2181].start 9281.02784375
transcript.pyannote[2181].end 9281.09534375
transcript.pyannote[2182].speaker SPEAKER_05
transcript.pyannote[2182].start 9281.09534375
transcript.pyannote[2182].end 9282.71534375
transcript.pyannote[2183].speaker SPEAKER_08
transcript.pyannote[2183].start 9281.16284375
transcript.pyannote[2183].end 9284.99346875
transcript.pyannote[2184].speaker SPEAKER_08
transcript.pyannote[2184].start 9285.56721875
transcript.pyannote[2184].end 9286.39409375
transcript.pyannote[2185].speaker SPEAKER_08
transcript.pyannote[2185].start 9286.54596875
transcript.pyannote[2185].end 9291.25409375
transcript.pyannote[2186].speaker SPEAKER_05
transcript.pyannote[2186].start 9289.88721875
transcript.pyannote[2186].end 9309.39471875
transcript.pyannote[2187].speaker SPEAKER_08
transcript.pyannote[2187].start 9294.81471875
transcript.pyannote[2187].end 9297.12659375
transcript.pyannote[2188].speaker SPEAKER_05
transcript.pyannote[2188].start 9309.44534375
transcript.pyannote[2188].end 9310.27221875
transcript.pyannote[2189].speaker SPEAKER_08
transcript.pyannote[2189].start 9309.76596875
transcript.pyannote[2189].end 9310.76159375
transcript.pyannote[2190].speaker SPEAKER_05
transcript.pyannote[2190].start 9310.66034375
transcript.pyannote[2190].end 9315.45284375
transcript.pyannote[2191].speaker SPEAKER_05
transcript.pyannote[2191].start 9315.85784375
transcript.pyannote[2191].end 9320.71784375
transcript.pyannote[2192].speaker SPEAKER_05
transcript.pyannote[2192].start 9320.93721875
transcript.pyannote[2192].end 9322.70909375
transcript.pyannote[2193].speaker SPEAKER_05
transcript.pyannote[2193].start 9322.96221875
transcript.pyannote[2193].end 9324.48096875
transcript.pyannote[2194].speaker SPEAKER_05
transcript.pyannote[2194].start 9324.76784375
transcript.pyannote[2194].end 9327.73784375
transcript.pyannote[2195].speaker SPEAKER_05
transcript.pyannote[2195].start 9328.49721875
transcript.pyannote[2195].end 9334.36971875
transcript.pyannote[2196].speaker SPEAKER_05
transcript.pyannote[2196].start 9334.53846875
transcript.pyannote[2196].end 9335.53409375
transcript.pyannote[2197].speaker SPEAKER_05
transcript.pyannote[2197].start 9335.73659375
transcript.pyannote[2197].end 9336.90096875
transcript.pyannote[2198].speaker SPEAKER_08
transcript.pyannote[2198].start 9337.76159375
transcript.pyannote[2198].end 9339.65159375
transcript.pyannote[2199].speaker SPEAKER_08
transcript.pyannote[2199].start 9340.10721875
transcript.pyannote[2199].end 9342.08159375
transcript.pyannote[2200].speaker SPEAKER_05
transcript.pyannote[2200].start 9341.64284375
transcript.pyannote[2200].end 9342.36846875
transcript.pyannote[2201].speaker SPEAKER_05
transcript.pyannote[2201].start 9342.63846875
transcript.pyannote[2201].end 9351.83534375
transcript.pyannote[2202].speaker SPEAKER_05
transcript.pyannote[2202].start 9351.97034375
transcript.pyannote[2202].end 9373.51971875
transcript.pyannote[2203].speaker SPEAKER_05
transcript.pyannote[2203].start 9374.19471875
transcript.pyannote[2203].end 9375.96659375
transcript.pyannote[2204].speaker SPEAKER_08
transcript.pyannote[2204].start 9375.96659375
transcript.pyannote[2204].end 9377.77221875
transcript.pyannote[2205].speaker SPEAKER_02
transcript.pyannote[2205].start 9387.96471875
transcript.pyannote[2205].end 9392.58846875
transcript.pyannote[2206].speaker SPEAKER_02
transcript.pyannote[2206].start 9400.57034375
transcript.pyannote[2206].end 9401.68409375
transcript.pyannote[2207].speaker SPEAKER_02
transcript.pyannote[2207].start 9402.17346875
transcript.pyannote[2207].end 9403.25346875
transcript.pyannote[2208].speaker SPEAKER_02
transcript.pyannote[2208].start 9409.31159375
transcript.pyannote[2208].end 9413.90159375
transcript.pyannote[2209].speaker SPEAKER_00
transcript.pyannote[2209].start 9428.24534375
transcript.pyannote[2209].end 9431.50221875
transcript.pyannote[2210].speaker SPEAKER_00
transcript.pyannote[2210].start 9432.02534375
transcript.pyannote[2210].end 9435.90659375
transcript.pyannote[2211].speaker SPEAKER_08
transcript.pyannote[2211].start 9442.42034375
transcript.pyannote[2211].end 9442.97721875
transcript.pyannote[2212].speaker SPEAKER_00
transcript.pyannote[2212].start 9442.97721875
transcript.pyannote[2212].end 9444.51284375
transcript.pyannote[2213].speaker SPEAKER_08
transcript.pyannote[2213].start 9443.50034375
transcript.pyannote[2213].end 9443.73659375
transcript.pyannote[2214].speaker SPEAKER_00
transcript.pyannote[2214].start 9444.98534375
transcript.pyannote[2214].end 9446.87534375
transcript.pyannote[2215].speaker SPEAKER_00
transcript.pyannote[2215].start 9447.85409375
transcript.pyannote[2215].end 9451.06034375
transcript.pyannote[2216].speaker SPEAKER_00
transcript.pyannote[2216].start 9451.39784375
transcript.pyannote[2216].end 9461.74221875
transcript.pyannote[2217].speaker SPEAKER_00
transcript.pyannote[2217].start 9462.36659375
transcript.pyannote[2217].end 9470.28096875
transcript.pyannote[2218].speaker SPEAKER_00
transcript.pyannote[2218].start 9470.36534375
transcript.pyannote[2218].end 9474.80346875
transcript.pyannote[2219].speaker SPEAKER_00
transcript.pyannote[2219].start 9475.34346875
transcript.pyannote[2219].end 9475.84971875
transcript.pyannote[2220].speaker SPEAKER_00
transcript.pyannote[2220].start 9476.01846875
transcript.pyannote[2220].end 9478.36409375
transcript.pyannote[2221].speaker SPEAKER_00
transcript.pyannote[2221].start 9478.83659375
transcript.pyannote[2221].end 9479.44409375
transcript.pyannote[2222].speaker SPEAKER_00
transcript.pyannote[2222].start 9479.74784375
transcript.pyannote[2222].end 9484.18596875
transcript.pyannote[2223].speaker SPEAKER_00
transcript.pyannote[2223].start 9484.65846875
transcript.pyannote[2223].end 9488.40471875
transcript.pyannote[2224].speaker SPEAKER_00
transcript.pyannote[2224].start 9488.96159375
transcript.pyannote[2224].end 9494.42909375
transcript.pyannote[2225].speaker SPEAKER_00
transcript.pyannote[2225].start 9494.71596875
transcript.pyannote[2225].end 9496.65659375
transcript.pyannote[2226].speaker SPEAKER_00
transcript.pyannote[2226].start 9497.04471875
transcript.pyannote[2226].end 9501.17909375
transcript.pyannote[2227].speaker SPEAKER_00
transcript.pyannote[2227].start 9501.36471875
transcript.pyannote[2227].end 9502.07346875
transcript.pyannote[2228].speaker SPEAKER_00
transcript.pyannote[2228].start 9502.54596875
transcript.pyannote[2228].end 9506.29221875
transcript.pyannote[2229].speaker SPEAKER_00
transcript.pyannote[2229].start 9506.54534375
transcript.pyannote[2229].end 9507.40596875
transcript.pyannote[2230].speaker SPEAKER_00
transcript.pyannote[2230].start 9509.07659375
transcript.pyannote[2230].end 9512.14784375
transcript.pyannote[2231].speaker SPEAKER_00
transcript.pyannote[2231].start 9512.50221875
transcript.pyannote[2231].end 9513.10971875
transcript.pyannote[2232].speaker SPEAKER_00
transcript.pyannote[2232].start 9513.43034375
transcript.pyannote[2232].end 9520.70346875
transcript.pyannote[2233].speaker SPEAKER_08
transcript.pyannote[2233].start 9522.00284375
transcript.pyannote[2233].end 9547.01159375
transcript.pyannote[2234].speaker SPEAKER_08
transcript.pyannote[2234].start 9547.09596875
transcript.pyannote[2234].end 9549.72846875
transcript.pyannote[2235].speaker SPEAKER_08
transcript.pyannote[2235].start 9549.94784375
transcript.pyannote[2235].end 9551.60159375
transcript.pyannote[2236].speaker SPEAKER_08
transcript.pyannote[2236].start 9551.85471875
transcript.pyannote[2236].end 9553.12034375
transcript.pyannote[2237].speaker SPEAKER_08
transcript.pyannote[2237].start 9553.28909375
transcript.pyannote[2237].end 9554.67284375
transcript.pyannote[2238].speaker SPEAKER_08
transcript.pyannote[2238].start 9555.19596875
transcript.pyannote[2238].end 9556.51221875
transcript.pyannote[2239].speaker SPEAKER_08
transcript.pyannote[2239].start 9557.17034375
transcript.pyannote[2239].end 9558.01409375
transcript.pyannote[2240].speaker SPEAKER_08
transcript.pyannote[2240].start 9558.45284375
transcript.pyannote[2240].end 9562.77284375
transcript.pyannote[2241].speaker SPEAKER_08
transcript.pyannote[2241].start 9562.89096875
transcript.pyannote[2241].end 9565.70909375
transcript.pyannote[2242].speaker SPEAKER_08
transcript.pyannote[2242].start 9565.86096875
transcript.pyannote[2242].end 9566.38409375
transcript.pyannote[2243].speaker SPEAKER_08
transcript.pyannote[2243].start 9566.80596875
transcript.pyannote[2243].end 9570.97409375
transcript.pyannote[2244].speaker SPEAKER_08
transcript.pyannote[2244].start 9571.05846875
transcript.pyannote[2244].end 9571.81784375
transcript.pyannote[2245].speaker SPEAKER_08
transcript.pyannote[2245].start 9572.05409375
transcript.pyannote[2245].end 9574.26471875
transcript.pyannote[2246].speaker SPEAKER_08
transcript.pyannote[2246].start 9574.43346875
transcript.pyannote[2246].end 9577.50471875
transcript.pyannote[2247].speaker SPEAKER_08
transcript.pyannote[2247].start 9577.87596875
transcript.pyannote[2247].end 9581.68971875
transcript.pyannote[2248].speaker SPEAKER_08
transcript.pyannote[2248].start 9582.04409375
transcript.pyannote[2248].end 9584.28846875
transcript.pyannote[2249].speaker SPEAKER_00
transcript.pyannote[2249].start 9583.56284375
transcript.pyannote[2249].end 9584.52471875
transcript.pyannote[2250].speaker SPEAKER_08
transcript.pyannote[2250].start 9584.52471875
transcript.pyannote[2250].end 9584.57534375
transcript.pyannote[2251].speaker SPEAKER_00
transcript.pyannote[2251].start 9584.57534375
transcript.pyannote[2251].end 9584.59221875
transcript.pyannote[2252].speaker SPEAKER_00
transcript.pyannote[2252].start 9585.06471875
transcript.pyannote[2252].end 9591.94971875
transcript.pyannote[2253].speaker SPEAKER_00
transcript.pyannote[2253].start 9592.54034375
transcript.pyannote[2253].end 9592.57409375
transcript.pyannote[2254].speaker SPEAKER_08
transcript.pyannote[2254].start 9592.57409375
transcript.pyannote[2254].end 9592.60784375
transcript.pyannote[2255].speaker SPEAKER_00
transcript.pyannote[2255].start 9592.60784375
transcript.pyannote[2255].end 9592.65846875
transcript.pyannote[2256].speaker SPEAKER_08
transcript.pyannote[2256].start 9592.65846875
transcript.pyannote[2256].end 9594.16034375
transcript.pyannote[2257].speaker SPEAKER_08
transcript.pyannote[2257].start 9594.70034375
transcript.pyannote[2257].end 9594.98721875
transcript.pyannote[2258].speaker SPEAKER_00
transcript.pyannote[2258].start 9595.29096875
transcript.pyannote[2258].end 9595.30784375
transcript.pyannote[2259].speaker SPEAKER_08
transcript.pyannote[2259].start 9595.30784375
transcript.pyannote[2259].end 9595.86471875
transcript.pyannote[2260].speaker SPEAKER_08
transcript.pyannote[2260].start 9596.23596875
transcript.pyannote[2260].end 9597.18096875
transcript.pyannote[2261].speaker SPEAKER_08
transcript.pyannote[2261].start 9597.72096875
transcript.pyannote[2261].end 9599.35784375
transcript.pyannote[2262].speaker SPEAKER_08
transcript.pyannote[2262].start 9600.01596875
transcript.pyannote[2262].end 9600.79221875
transcript.pyannote[2263].speaker SPEAKER_08
transcript.pyannote[2263].start 9601.26471875
transcript.pyannote[2263].end 9605.28096875
transcript.pyannote[2264].speaker SPEAKER_08
transcript.pyannote[2264].start 9605.71971875
transcript.pyannote[2264].end 9612.92534375
transcript.pyannote[2265].speaker SPEAKER_08
transcript.pyannote[2265].start 9613.17846875
transcript.pyannote[2265].end 9621.56534375
transcript.pyannote[2266].speaker SPEAKER_08
transcript.pyannote[2266].start 9621.76784375
transcript.pyannote[2266].end 9624.02909375
transcript.pyannote[2267].speaker SPEAKER_08
transcript.pyannote[2267].start 9624.04596875
transcript.pyannote[2267].end 9626.71221875
transcript.pyannote[2268].speaker SPEAKER_00
transcript.pyannote[2268].start 9626.44221875
transcript.pyannote[2268].end 9626.69534375
transcript.pyannote[2269].speaker SPEAKER_00
transcript.pyannote[2269].start 9626.71221875
transcript.pyannote[2269].end 9630.61034375
transcript.pyannote[2270].speaker SPEAKER_00
transcript.pyannote[2270].start 9630.94784375
transcript.pyannote[2270].end 9639.16596875
transcript.pyannote[2271].speaker SPEAKER_00
transcript.pyannote[2271].start 9639.40221875
transcript.pyannote[2271].end 9641.57909375
transcript.pyannote[2272].speaker SPEAKER_00
transcript.pyannote[2272].start 9641.95034375
transcript.pyannote[2272].end 9643.63784375
transcript.pyannote[2273].speaker SPEAKER_08
transcript.pyannote[2273].start 9643.63784375
transcript.pyannote[2273].end 9643.67159375
transcript.pyannote[2274].speaker SPEAKER_00
transcript.pyannote[2274].start 9644.43096875
transcript.pyannote[2274].end 9644.97096875
transcript.pyannote[2275].speaker SPEAKER_08
transcript.pyannote[2275].start 9644.97096875
transcript.pyannote[2275].end 9645.66284375
transcript.pyannote[2276].speaker SPEAKER_08
transcript.pyannote[2276].start 9646.16909375
transcript.pyannote[2276].end 9655.95659375
transcript.pyannote[2277].speaker SPEAKER_08
transcript.pyannote[2277].start 9656.14221875
transcript.pyannote[2277].end 9656.15909375
transcript.pyannote[2278].speaker SPEAKER_00
transcript.pyannote[2278].start 9656.15909375
transcript.pyannote[2278].end 9657.28971875
transcript.pyannote[2279].speaker SPEAKER_00
transcript.pyannote[2279].start 9658.15034375
transcript.pyannote[2279].end 9664.47846875
transcript.pyannote[2280].speaker SPEAKER_00
transcript.pyannote[2280].start 9665.27159375
transcript.pyannote[2280].end 9668.56221875
transcript.pyannote[2281].speaker SPEAKER_00
transcript.pyannote[2281].start 9668.73096875
transcript.pyannote[2281].end 9691.34346875
transcript.pyannote[2282].speaker SPEAKER_00
transcript.pyannote[2282].start 9691.64721875
transcript.pyannote[2282].end 9702.24471875
transcript.pyannote[2283].speaker SPEAKER_00
transcript.pyannote[2283].start 9702.59909375
transcript.pyannote[2283].end 9715.35659375
transcript.pyannote[2284].speaker SPEAKER_00
transcript.pyannote[2284].start 9715.62659375
transcript.pyannote[2284].end 9731.48909375
transcript.pyannote[2285].speaker SPEAKER_08
transcript.pyannote[2285].start 9732.67034375
transcript.pyannote[2285].end 9733.53096875
transcript.pyannote[2286].speaker SPEAKER_08
transcript.pyannote[2286].start 9733.86846875
transcript.pyannote[2286].end 9734.66159375
transcript.pyannote[2287].speaker SPEAKER_08
transcript.pyannote[2287].start 9734.96534375
transcript.pyannote[2287].end 9741.88409375
transcript.pyannote[2288].speaker SPEAKER_08
transcript.pyannote[2288].start 9742.54221875
transcript.pyannote[2288].end 9744.11159375
transcript.pyannote[2289].speaker SPEAKER_08
transcript.pyannote[2289].start 9744.21284375
transcript.pyannote[2289].end 9750.47346875
transcript.pyannote[2290].speaker SPEAKER_08
transcript.pyannote[2290].start 9750.96284375
transcript.pyannote[2290].end 9753.88221875
transcript.pyannote[2291].speaker SPEAKER_08
transcript.pyannote[2291].start 9754.11846875
transcript.pyannote[2291].end 9766.87596875
transcript.pyannote[2292].speaker SPEAKER_08
transcript.pyannote[2292].start 9767.07846875
transcript.pyannote[2292].end 9769.60971875
transcript.pyannote[2293].speaker SPEAKER_08
transcript.pyannote[2293].start 9769.96409375
transcript.pyannote[2293].end 9774.63846875
transcript.pyannote[2294].speaker SPEAKER_08
transcript.pyannote[2294].start 9774.92534375
transcript.pyannote[2294].end 9775.56659375
transcript.pyannote[2295].speaker SPEAKER_08
transcript.pyannote[2295].start 9775.93784375
transcript.pyannote[2295].end 9778.30034375
transcript.pyannote[2296].speaker SPEAKER_08
transcript.pyannote[2296].start 9778.48596875
transcript.pyannote[2296].end 9780.24096875
transcript.pyannote[2297].speaker SPEAKER_08
transcript.pyannote[2297].start 9780.42659375
transcript.pyannote[2297].end 9790.88909375
transcript.pyannote[2298].speaker SPEAKER_08
transcript.pyannote[2298].start 9792.17159375
transcript.pyannote[2298].end 9799.90034375
transcript.pyannote[2299].speaker SPEAKER_08
transcript.pyannote[2299].start 9800.10284375
transcript.pyannote[2299].end 9814.73346875
transcript.pyannote[2300].speaker SPEAKER_08
transcript.pyannote[2300].start 9815.07096875
transcript.pyannote[2300].end 9862.77659375
transcript.pyannote[2301].speaker SPEAKER_00
transcript.pyannote[2301].start 9862.01721875
transcript.pyannote[2301].end 9862.37159375
transcript.pyannote[2302].speaker SPEAKER_00
transcript.pyannote[2302].start 9862.96221875
transcript.pyannote[2302].end 9863.29971875
transcript.pyannote[2303].speaker SPEAKER_00
transcript.pyannote[2303].start 9863.65409375
transcript.pyannote[2303].end 9864.24471875
transcript.pyannote[2304].speaker SPEAKER_00
transcript.pyannote[2304].start 9864.59909375
transcript.pyannote[2304].end 9868.46346875
transcript.pyannote[2305].speaker SPEAKER_00
transcript.pyannote[2305].start 9869.00346875
transcript.pyannote[2305].end 9870.15096875
transcript.pyannote[2306].speaker SPEAKER_00
transcript.pyannote[2306].start 9870.43784375
transcript.pyannote[2306].end 9872.17596875
transcript.pyannote[2307].speaker SPEAKER_00
transcript.pyannote[2307].start 9872.42909375
transcript.pyannote[2307].end 9876.44534375
transcript.pyannote[2308].speaker SPEAKER_00
transcript.pyannote[2308].start 9876.66471875
transcript.pyannote[2308].end 9883.98846875
transcript.pyannote[2309].speaker SPEAKER_00
transcript.pyannote[2309].start 9884.34284375
transcript.pyannote[2309].end 9887.80221875
transcript.pyannote[2310].speaker SPEAKER_00
transcript.pyannote[2310].start 9888.00471875
transcript.pyannote[2310].end 9891.02534375
transcript.pyannote[2311].speaker SPEAKER_00
transcript.pyannote[2311].start 9891.37971875
transcript.pyannote[2311].end 9895.05846875
transcript.pyannote[2312].speaker SPEAKER_00
transcript.pyannote[2312].start 9895.61534375
transcript.pyannote[2312].end 9898.36596875
transcript.pyannote[2313].speaker SPEAKER_00
transcript.pyannote[2313].start 9898.93971875
transcript.pyannote[2313].end 9901.45409375
transcript.pyannote[2314].speaker SPEAKER_00
transcript.pyannote[2314].start 9901.90971875
transcript.pyannote[2314].end 9910.83659375
transcript.pyannote[2315].speaker SPEAKER_00
transcript.pyannote[2315].start 9911.02221875
transcript.pyannote[2315].end 9912.65909375
transcript.pyannote[2316].speaker SPEAKER_00
transcript.pyannote[2316].start 9913.53659375
transcript.pyannote[2316].end 9916.18596875
transcript.pyannote[2317].speaker SPEAKER_00
transcript.pyannote[2317].start 9916.57409375
transcript.pyannote[2317].end 9918.56534375
transcript.pyannote[2318].speaker SPEAKER_00
transcript.pyannote[2318].start 9918.78471875
transcript.pyannote[2318].end 9922.10909375
transcript.pyannote[2319].speaker SPEAKER_00
transcript.pyannote[2319].start 9922.15971875
transcript.pyannote[2319].end 9933.48284375
transcript.pyannote[2320].speaker SPEAKER_00
transcript.pyannote[2320].start 9934.10721875
transcript.pyannote[2320].end 9936.23346875
transcript.pyannote[2321].speaker SPEAKER_00
transcript.pyannote[2321].start 9936.63846875
transcript.pyannote[2321].end 9936.99284375
transcript.pyannote[2322].speaker SPEAKER_00
transcript.pyannote[2322].start 9937.44846875
transcript.pyannote[2322].end 9938.91659375
transcript.pyannote[2323].speaker SPEAKER_08
transcript.pyannote[2323].start 9939.67596875
transcript.pyannote[2323].end 9950.61096875
transcript.pyannote[2324].speaker SPEAKER_00
transcript.pyannote[2324].start 9940.18221875
transcript.pyannote[2324].end 9940.99221875
transcript.pyannote[2325].speaker SPEAKER_08
transcript.pyannote[2325].start 9951.47159375
transcript.pyannote[2325].end 9954.15471875
transcript.pyannote[2326].speaker SPEAKER_08
transcript.pyannote[2326].start 9954.66096875
transcript.pyannote[2326].end 9959.36909375
transcript.pyannote[2327].speaker SPEAKER_08
transcript.pyannote[2327].start 9959.70659375
transcript.pyannote[2327].end 9963.97596875
transcript.pyannote[2328].speaker SPEAKER_08
transcript.pyannote[2328].start 9964.24596875
transcript.pyannote[2328].end 9985.89659375
transcript.pyannote[2329].speaker SPEAKER_00
transcript.pyannote[2329].start 9984.46221875
transcript.pyannote[2329].end 9988.88346875
transcript.pyannote[2330].speaker SPEAKER_00
transcript.pyannote[2330].start 9988.96784375
transcript.pyannote[2330].end 9993.69284375
transcript.pyannote[2331].speaker SPEAKER_08
transcript.pyannote[2331].start 9990.06471875
transcript.pyannote[2331].end 9991.07721875
transcript.pyannote[2332].speaker SPEAKER_08
transcript.pyannote[2332].start 9991.78596875
transcript.pyannote[2332].end 9992.68034375
transcript.pyannote[2333].speaker SPEAKER_08
transcript.pyannote[2333].start 9993.69284375
transcript.pyannote[2333].end 9993.89534375
transcript.pyannote[2334].speaker SPEAKER_00
transcript.pyannote[2334].start 9993.89534375
transcript.pyannote[2334].end 10004.72909375
transcript.pyannote[2335].speaker SPEAKER_08
transcript.pyannote[2335].start 9993.92909375
transcript.pyannote[2335].end 9994.62096875
transcript.pyannote[2336].speaker SPEAKER_08
transcript.pyannote[2336].start 9996.42659375
transcript.pyannote[2336].end 9997.42221875
transcript.pyannote[2337].speaker SPEAKER_08
transcript.pyannote[2337].start 9998.60346875
transcript.pyannote[2337].end 9999.83534375
transcript.pyannote[2338].speaker SPEAKER_00
transcript.pyannote[2338].start 10004.86409375
transcript.pyannote[2338].end 10004.94846875
transcript.pyannote[2339].speaker SPEAKER_08
transcript.pyannote[2339].start 10004.94846875
transcript.pyannote[2339].end 10005.30284375
transcript.pyannote[2340].speaker SPEAKER_08
transcript.pyannote[2340].start 10005.43784375
transcript.pyannote[2340].end 10024.27034375
transcript.pyannote[2341].speaker SPEAKER_00
transcript.pyannote[2341].start 10005.50534375
transcript.pyannote[2341].end 10006.02846875
transcript.pyannote[2342].speaker SPEAKER_00
transcript.pyannote[2342].start 10013.16659375
transcript.pyannote[2342].end 10013.58846875
transcript.pyannote[2343].speaker SPEAKER_00
transcript.pyannote[2343].start 10013.68971875
transcript.pyannote[2343].end 10014.85409375
transcript.pyannote[2344].speaker SPEAKER_00
transcript.pyannote[2344].start 10017.68909375
transcript.pyannote[2344].end 10018.24596875
transcript.pyannote[2345].speaker SPEAKER_00
transcript.pyannote[2345].start 10021.11471875
transcript.pyannote[2345].end 10022.76846875
transcript.pyannote[2346].speaker SPEAKER_00
transcript.pyannote[2346].start 10023.40971875
transcript.pyannote[2346].end 10023.94971875
transcript.pyannote[2347].speaker SPEAKER_00
transcript.pyannote[2347].start 10024.27034375
transcript.pyannote[2347].end 10024.37159375
transcript.pyannote[2348].speaker SPEAKER_08
transcript.pyannote[2348].start 10024.37159375
transcript.pyannote[2348].end 10024.45596875
transcript.pyannote[2349].speaker SPEAKER_00
transcript.pyannote[2349].start 10024.45596875
transcript.pyannote[2349].end 10028.47221875
transcript.pyannote[2350].speaker SPEAKER_08
transcript.pyannote[2350].start 10024.48971875
transcript.pyannote[2350].end 10024.91159375
transcript.pyannote[2351].speaker SPEAKER_00
transcript.pyannote[2351].start 10028.80971875
transcript.pyannote[2351].end 10030.34534375
transcript.pyannote[2352].speaker SPEAKER_00
transcript.pyannote[2352].start 10030.61534375
transcript.pyannote[2352].end 10031.45909375
transcript.pyannote[2353].speaker SPEAKER_08
transcript.pyannote[2353].start 10030.76721875
transcript.pyannote[2353].end 10031.44221875
transcript.pyannote[2354].speaker SPEAKER_08
transcript.pyannote[2354].start 10031.45909375
transcript.pyannote[2354].end 10033.09596875
transcript.pyannote[2355].speaker SPEAKER_00
transcript.pyannote[2355].start 10032.26909375
transcript.pyannote[2355].end 10038.10784375
transcript.pyannote[2356].speaker SPEAKER_00
transcript.pyannote[2356].start 10038.12471875
transcript.pyannote[2356].end 10046.96721875
transcript.pyannote[2357].speaker SPEAKER_08
transcript.pyannote[2357].start 10046.96721875
transcript.pyannote[2357].end 10067.43659375
transcript.pyannote[2358].speaker SPEAKER_00
transcript.pyannote[2358].start 10055.86034375
transcript.pyannote[2358].end 10056.50159375
transcript.pyannote[2359].speaker SPEAKER_00
transcript.pyannote[2359].start 10066.35659375
transcript.pyannote[2359].end 10067.35221875
transcript.pyannote[2360].speaker SPEAKER_00
transcript.pyannote[2360].start 10067.87534375
transcript.pyannote[2360].end 10074.79409375
transcript.pyannote[2361].speaker SPEAKER_08
transcript.pyannote[2361].start 10068.76971875
transcript.pyannote[2361].end 10069.09034375
transcript.pyannote[2362].speaker SPEAKER_08
transcript.pyannote[2362].start 10070.08596875
transcript.pyannote[2362].end 10070.42346875
transcript.pyannote[2363].speaker SPEAKER_00
transcript.pyannote[2363].start 10075.18221875
transcript.pyannote[2363].end 10088.44596875
transcript.pyannote[2364].speaker SPEAKER_00
transcript.pyannote[2364].start 10088.96909375
transcript.pyannote[2364].end 10102.65471875
transcript.pyannote[2365].speaker SPEAKER_00
transcript.pyannote[2365].start 10102.85721875
transcript.pyannote[2365].end 10140.43784375
transcript.pyannote[2366].speaker SPEAKER_00
transcript.pyannote[2366].start 10140.77534375
transcript.pyannote[2366].end 10143.05346875
transcript.pyannote[2367].speaker SPEAKER_00
transcript.pyannote[2367].start 10144.13346875
transcript.pyannote[2367].end 10144.97721875
transcript.pyannote[2368].speaker SPEAKER_00
transcript.pyannote[2368].start 10145.36534375
transcript.pyannote[2368].end 10150.09034375
transcript.pyannote[2369].speaker SPEAKER_08
transcript.pyannote[2369].start 10149.65159375
transcript.pyannote[2369].end 10197.61034375
transcript.pyannote[2370].speaker SPEAKER_08
transcript.pyannote[2370].start 10197.98159375
transcript.pyannote[2370].end 10199.33159375
transcript.pyannote[2371].speaker SPEAKER_08
transcript.pyannote[2371].start 10199.58471875
transcript.pyannote[2371].end 10201.81221875
transcript.pyannote[2372].speaker SPEAKER_08
transcript.pyannote[2372].start 10202.31846875
transcript.pyannote[2372].end 10205.01846875
transcript.pyannote[2373].speaker SPEAKER_00
transcript.pyannote[2373].start 10205.01846875
transcript.pyannote[2373].end 10205.03534375
transcript.pyannote[2374].speaker SPEAKER_00
transcript.pyannote[2374].start 10205.47409375
transcript.pyannote[2374].end 10206.03096875
transcript.pyannote[2375].speaker SPEAKER_00
transcript.pyannote[2375].start 10206.53721875
transcript.pyannote[2375].end 10207.12784375
transcript.pyannote[2376].speaker SPEAKER_00
transcript.pyannote[2376].start 10207.51596875
transcript.pyannote[2376].end 10218.02909375
transcript.pyannote[2377].speaker SPEAKER_00
transcript.pyannote[2377].start 10218.06284375
transcript.pyannote[2377].end 10221.10034375
transcript.pyannote[2378].speaker SPEAKER_08
transcript.pyannote[2378].start 10218.13034375
transcript.pyannote[2378].end 10218.45096875
transcript.pyannote[2379].speaker SPEAKER_08
transcript.pyannote[2379].start 10218.90659375
transcript.pyannote[2379].end 10225.52159375
transcript.pyannote[2380].speaker SPEAKER_08
transcript.pyannote[2380].start 10226.14596875
transcript.pyannote[2380].end 10226.85471875
transcript.pyannote[2381].speaker SPEAKER_08
transcript.pyannote[2381].start 10227.25971875
transcript.pyannote[2381].end 10230.71909375
transcript.pyannote[2382].speaker SPEAKER_08
transcript.pyannote[2382].start 10230.93846875
transcript.pyannote[2382].end 10237.03034375
transcript.pyannote[2383].speaker SPEAKER_00
transcript.pyannote[2383].start 10233.09846875
transcript.pyannote[2383].end 10233.84096875
transcript.pyannote[2384].speaker SPEAKER_00
transcript.pyannote[2384].start 10237.03034375
transcript.pyannote[2384].end 10237.48596875
transcript.pyannote[2385].speaker SPEAKER_08
transcript.pyannote[2385].start 10237.48596875
transcript.pyannote[2385].end 10237.63784375
transcript.pyannote[2386].speaker SPEAKER_00
transcript.pyannote[2386].start 10237.63784375
transcript.pyannote[2386].end 10239.81471875
transcript.pyannote[2387].speaker SPEAKER_00
transcript.pyannote[2387].start 10240.48971875
transcript.pyannote[2387].end 10249.97346875
transcript.pyannote[2388].speaker SPEAKER_08
transcript.pyannote[2388].start 10249.97346875
transcript.pyannote[2388].end 10255.69409375
transcript.pyannote[2389].speaker SPEAKER_08
transcript.pyannote[2389].start 10256.09909375
transcript.pyannote[2389].end 10261.02659375
transcript.pyannote[2390].speaker SPEAKER_07
transcript.pyannote[2390].start 10257.26346875
transcript.pyannote[2390].end 10257.70221875
transcript.pyannote[2391].speaker SPEAKER_00
transcript.pyannote[2391].start 10261.02659375
transcript.pyannote[2391].end 10275.89346875
transcript.pyannote[2392].speaker SPEAKER_09
transcript.pyannote[2392].start 10266.22409375
transcript.pyannote[2392].end 10266.52784375
transcript.pyannote[2393].speaker SPEAKER_09
transcript.pyannote[2393].start 10267.30409375
transcript.pyannote[2393].end 10268.08034375
transcript.pyannote[2394].speaker SPEAKER_01
transcript.pyannote[2394].start 10268.08034375
transcript.pyannote[2394].end 10268.11409375
transcript.pyannote[2395].speaker SPEAKER_09
transcript.pyannote[2395].start 10271.06721875
transcript.pyannote[2395].end 10271.92784375
transcript.pyannote[2396].speaker SPEAKER_08
transcript.pyannote[2396].start 10276.23096875
transcript.pyannote[2396].end 10276.31534375
transcript.pyannote[2397].speaker SPEAKER_00
transcript.pyannote[2397].start 10276.38284375
transcript.pyannote[2397].end 10277.53034375
transcript.pyannote[2398].speaker SPEAKER_00
transcript.pyannote[2398].start 10277.81721875
transcript.pyannote[2398].end 10278.34034375
transcript.pyannote[2399].speaker SPEAKER_08
transcript.pyannote[2399].start 10278.34034375
transcript.pyannote[2399].end 10278.35721875
transcript.pyannote[2400].speaker SPEAKER_00
transcript.pyannote[2400].start 10278.35721875
transcript.pyannote[2400].end 10312.17471875
transcript.pyannote[2401].speaker SPEAKER_00
transcript.pyannote[2401].start 10312.56284375
transcript.pyannote[2401].end 10318.82346875
transcript.pyannote[2402].speaker SPEAKER_00
transcript.pyannote[2402].start 10319.31284375
transcript.pyannote[2402].end 10319.80221875
transcript.pyannote[2403].speaker SPEAKER_00
transcript.pyannote[2403].start 10320.15659375
transcript.pyannote[2403].end 10324.76346875
transcript.pyannote[2404].speaker SPEAKER_00
transcript.pyannote[2404].start 10324.88159375
transcript.pyannote[2404].end 10347.44346875
transcript.pyannote[2405].speaker SPEAKER_00
transcript.pyannote[2405].start 10347.54471875
transcript.pyannote[2405].end 10356.80909375
transcript.pyannote[2406].speaker SPEAKER_00
transcript.pyannote[2406].start 10357.36596875
transcript.pyannote[2406].end 10361.23034375
transcript.pyannote[2407].speaker SPEAKER_00
transcript.pyannote[2407].start 10361.88846875
transcript.pyannote[2407].end 10362.96846875
transcript.pyannote[2408].speaker SPEAKER_08
transcript.pyannote[2408].start 10362.96846875
transcript.pyannote[2408].end 10364.70659375
transcript.pyannote[2409].speaker SPEAKER_00
transcript.pyannote[2409].start 10364.77409375
transcript.pyannote[2409].end 10364.79096875
transcript.pyannote[2410].speaker SPEAKER_08
transcript.pyannote[2410].start 10364.79096875
transcript.pyannote[2410].end 10365.06096875
transcript.pyannote[2411].speaker SPEAKER_08
transcript.pyannote[2411].start 10365.58409375
transcript.pyannote[2411].end 10366.34346875
transcript.pyannote[2412].speaker SPEAKER_08
transcript.pyannote[2412].start 10367.11971875
transcript.pyannote[2412].end 10368.35159375
transcript.pyannote[2413].speaker SPEAKER_08
transcript.pyannote[2413].start 10368.67221875
transcript.pyannote[2413].end 10382.74596875
transcript.pyannote[2414].speaker SPEAKER_00
transcript.pyannote[2414].start 10370.83221875
transcript.pyannote[2414].end 10371.06846875
transcript.pyannote[2415].speaker SPEAKER_08
transcript.pyannote[2415].start 10383.01596875
transcript.pyannote[2415].end 10386.94784375
transcript.pyannote[2416].speaker SPEAKER_08
transcript.pyannote[2416].start 10387.38659375
transcript.pyannote[2416].end 10410.40409375
transcript.pyannote[2417].speaker SPEAKER_00
transcript.pyannote[2417].start 10406.91096875
transcript.pyannote[2417].end 10407.61971875
transcript.pyannote[2418].speaker SPEAKER_00
transcript.pyannote[2418].start 10410.48846875
transcript.pyannote[2418].end 10415.77034375
transcript.pyannote[2419].speaker SPEAKER_00
transcript.pyannote[2419].start 10416.22596875
transcript.pyannote[2419].end 10430.36721875
transcript.pyannote[2420].speaker SPEAKER_00
transcript.pyannote[2420].start 10430.62034375
transcript.pyannote[2420].end 10432.71284375
transcript.pyannote[2421].speaker SPEAKER_00
transcript.pyannote[2421].start 10433.15159375
transcript.pyannote[2421].end 10440.47534375
transcript.pyannote[2422].speaker SPEAKER_00
transcript.pyannote[2422].start 10440.93096875
transcript.pyannote[2422].end 10448.57534375
transcript.pyannote[2423].speaker SPEAKER_00
transcript.pyannote[2423].start 10448.74409375
transcript.pyannote[2423].end 10461.19784375
transcript.pyannote[2424].speaker SPEAKER_00
transcript.pyannote[2424].start 10461.41721875
transcript.pyannote[2424].end 10477.21221875
transcript.pyannote[2425].speaker SPEAKER_00
transcript.pyannote[2425].start 10477.70159375
transcript.pyannote[2425].end 10479.49034375
transcript.pyannote[2426].speaker SPEAKER_00
transcript.pyannote[2426].start 10480.11471875
transcript.pyannote[2426].end 10491.91034375
transcript.pyannote[2427].speaker SPEAKER_08
transcript.pyannote[2427].start 10491.91034375
transcript.pyannote[2427].end 10492.34909375
transcript.pyannote[2428].speaker SPEAKER_00
transcript.pyannote[2428].start 10492.34909375
transcript.pyannote[2428].end 10492.97346875
transcript.pyannote[2429].speaker SPEAKER_08
transcript.pyannote[2429].start 10492.97346875
transcript.pyannote[2429].end 10495.70721875
transcript.pyannote[2430].speaker SPEAKER_08
transcript.pyannote[2430].start 10495.97721875
transcript.pyannote[2430].end 10503.68909375
transcript.pyannote[2431].speaker SPEAKER_08
transcript.pyannote[2431].start 10503.95909375
transcript.pyannote[2431].end 10508.07659375
transcript.pyannote[2432].speaker SPEAKER_08
transcript.pyannote[2432].start 10508.22846875
transcript.pyannote[2432].end 10538.53596875
transcript.pyannote[2433].speaker SPEAKER_08
transcript.pyannote[2433].start 10538.77221875
transcript.pyannote[2433].end 10539.14346875
transcript.pyannote[2434].speaker SPEAKER_00
transcript.pyannote[2434].start 10539.29534375
transcript.pyannote[2434].end 10540.49346875
transcript.pyannote[2435].speaker SPEAKER_00
transcript.pyannote[2435].start 10540.57784375
transcript.pyannote[2435].end 10540.91534375
transcript.pyannote[2436].speaker SPEAKER_09
transcript.pyannote[2436].start 10540.91534375
transcript.pyannote[2436].end 10540.94909375
transcript.pyannote[2437].speaker SPEAKER_00
transcript.pyannote[2437].start 10540.94909375
transcript.pyannote[2437].end 10545.23534375
transcript.pyannote[2438].speaker SPEAKER_00
transcript.pyannote[2438].start 10545.62346875
transcript.pyannote[2438].end 10555.64721875
transcript.pyannote[2439].speaker SPEAKER_00
transcript.pyannote[2439].start 10556.06909375
transcript.pyannote[2439].end 10561.36784375
transcript.pyannote[2440].speaker SPEAKER_00
transcript.pyannote[2440].start 10561.80659375
transcript.pyannote[2440].end 10563.51096875
transcript.pyannote[2441].speaker SPEAKER_00
transcript.pyannote[2441].start 10564.05096875
transcript.pyannote[2441].end 10566.90284375
transcript.pyannote[2442].speaker SPEAKER_00
transcript.pyannote[2442].start 10567.42596875
transcript.pyannote[2442].end 10579.00221875
transcript.pyannote[2443].speaker SPEAKER_00
transcript.pyannote[2443].start 10579.40721875
transcript.pyannote[2443].end 10592.21534375
transcript.pyannote[2444].speaker SPEAKER_00
transcript.pyannote[2444].start 10593.32909375
transcript.pyannote[2444].end 10594.66221875
transcript.pyannote[2445].speaker SPEAKER_08
transcript.pyannote[2445].start 10593.41346875
transcript.pyannote[2445].end 10594.24034375
transcript.pyannote[2446].speaker SPEAKER_08
transcript.pyannote[2446].start 10595.40471875
transcript.pyannote[2446].end 10601.44596875
transcript.pyannote[2447].speaker SPEAKER_08
transcript.pyannote[2447].start 10601.61471875
transcript.pyannote[2447].end 10616.98784375
transcript.pyannote[2448].speaker SPEAKER_00
transcript.pyannote[2448].start 10605.56346875
transcript.pyannote[2448].end 10605.58034375
transcript.pyannote[2449].speaker SPEAKER_09
transcript.pyannote[2449].start 10605.58034375
transcript.pyannote[2449].end 10608.24659375
transcript.pyannote[2450].speaker SPEAKER_09
transcript.pyannote[2450].start 10608.65159375
transcript.pyannote[2450].end 10609.34346875
transcript.pyannote[2451].speaker SPEAKER_00
transcript.pyannote[2451].start 10616.36346875
transcript.pyannote[2451].end 10617.02159375
transcript.pyannote[2452].speaker SPEAKER_08
transcript.pyannote[2452].start 10617.83159375
transcript.pyannote[2452].end 10617.86534375
transcript.pyannote[2453].speaker SPEAKER_00
transcript.pyannote[2453].start 10617.86534375
transcript.pyannote[2453].end 10623.95721875
transcript.pyannote[2454].speaker SPEAKER_08
transcript.pyannote[2454].start 10618.89471875
transcript.pyannote[2454].end 10619.28284375
transcript.pyannote[2455].speaker SPEAKER_09
transcript.pyannote[2455].start 10623.95721875
transcript.pyannote[2455].end 10624.22721875
transcript.pyannote[2456].speaker SPEAKER_00
transcript.pyannote[2456].start 10624.15971875
transcript.pyannote[2456].end 10625.89784375
transcript.pyannote[2457].speaker SPEAKER_00
transcript.pyannote[2457].start 10626.18471875
transcript.pyannote[2457].end 10627.39971875
transcript.pyannote[2458].speaker SPEAKER_00
transcript.pyannote[2458].start 10627.85534375
transcript.pyannote[2458].end 10628.22659375
transcript.pyannote[2459].speaker SPEAKER_09
transcript.pyannote[2459].start 10628.22659375
transcript.pyannote[2459].end 10628.66534375
transcript.pyannote[2460].speaker SPEAKER_00
transcript.pyannote[2460].start 10628.26034375
transcript.pyannote[2460].end 10634.40284375
transcript.pyannote[2461].speaker SPEAKER_00
transcript.pyannote[2461].start 10634.58846875
transcript.pyannote[2461].end 10640.84909375
transcript.pyannote[2462].speaker SPEAKER_08
transcript.pyannote[2462].start 10640.00534375
transcript.pyannote[2462].end 10645.92846875
transcript.pyannote[2463].speaker SPEAKER_00
transcript.pyannote[2463].start 10644.61221875
transcript.pyannote[2463].end 10647.54846875
transcript.pyannote[2464].speaker SPEAKER_02
transcript.pyannote[2464].start 10645.92846875
transcript.pyannote[2464].end 10646.40096875
transcript.pyannote[2465].speaker SPEAKER_02
transcript.pyannote[2465].start 10648.52721875
transcript.pyannote[2465].end 10653.37034375
transcript.pyannote[2466].speaker SPEAKER_02
transcript.pyannote[2466].start 10676.67471875
transcript.pyannote[2466].end 10680.11721875
transcript.pyannote[2467].speaker SPEAKER_02
transcript.pyannote[2467].start 10680.25221875
transcript.pyannote[2467].end 10683.72846875
transcript.pyannote[2468].speaker SPEAKER_03
transcript.pyannote[2468].start 10702.35846875
transcript.pyannote[2468].end 10704.56909375
transcript.pyannote[2469].speaker SPEAKER_02
transcript.pyannote[2469].start 10704.65346875
transcript.pyannote[2469].end 10706.84721875
transcript.pyannote[2470].speaker SPEAKER_03
transcript.pyannote[2470].start 10713.19221875
transcript.pyannote[2470].end 10714.00221875
transcript.pyannote[2471].speaker SPEAKER_03
transcript.pyannote[2471].start 10714.13721875
transcript.pyannote[2471].end 10719.84096875
transcript.pyannote[2472].speaker SPEAKER_08
transcript.pyannote[2472].start 10714.22159375
transcript.pyannote[2472].end 10715.06534375
transcript.pyannote[2473].speaker SPEAKER_08
transcript.pyannote[2473].start 10715.47034375
transcript.pyannote[2473].end 10715.57159375
transcript.pyannote[2474].speaker SPEAKER_08
transcript.pyannote[2474].start 10715.77409375
transcript.pyannote[2474].end 10716.24659375
transcript.pyannote[2475].speaker SPEAKER_08
transcript.pyannote[2475].start 10718.45721875
transcript.pyannote[2475].end 10719.80721875
transcript.pyannote[2476].speaker SPEAKER_08
transcript.pyannote[2476].start 10719.84096875
transcript.pyannote[2476].end 10720.11096875
transcript.pyannote[2477].speaker SPEAKER_03
transcript.pyannote[2477].start 10720.11096875
transcript.pyannote[2477].end 10723.38471875
transcript.pyannote[2478].speaker SPEAKER_08
transcript.pyannote[2478].start 10720.14471875
transcript.pyannote[2478].end 10720.65096875
transcript.pyannote[2479].speaker SPEAKER_08
transcript.pyannote[2479].start 10723.38471875
transcript.pyannote[2479].end 10723.40159375
transcript.pyannote[2480].speaker SPEAKER_03
transcript.pyannote[2480].start 10723.63784375
transcript.pyannote[2480].end 10729.25721875
transcript.pyannote[2481].speaker SPEAKER_08
transcript.pyannote[2481].start 10730.35409375
transcript.pyannote[2481].end 10739.06159375
transcript.pyannote[2482].speaker SPEAKER_08
transcript.pyannote[2482].start 10739.39909375
transcript.pyannote[2482].end 10743.87096875
transcript.pyannote[2483].speaker SPEAKER_08
transcript.pyannote[2483].start 10743.97221875
transcript.pyannote[2483].end 10746.06471875
transcript.pyannote[2484].speaker SPEAKER_08
transcript.pyannote[2484].start 10746.35159375
transcript.pyannote[2484].end 10750.38471875
transcript.pyannote[2485].speaker SPEAKER_08
transcript.pyannote[2485].start 10750.45221875
transcript.pyannote[2485].end 10750.72221875
transcript.pyannote[2486].speaker SPEAKER_03
transcript.pyannote[2486].start 10750.99221875
transcript.pyannote[2486].end 10756.03784375
transcript.pyannote[2487].speaker SPEAKER_03
transcript.pyannote[2487].start 10756.51034375
transcript.pyannote[2487].end 10759.56471875
transcript.pyannote[2488].speaker SPEAKER_03
transcript.pyannote[2488].start 10759.98659375
transcript.pyannote[2488].end 10767.95159375
transcript.pyannote[2489].speaker SPEAKER_03
transcript.pyannote[2489].start 10768.08659375
transcript.pyannote[2489].end 10775.84909375
transcript.pyannote[2490].speaker SPEAKER_09
transcript.pyannote[2490].start 10775.84909375
transcript.pyannote[2490].end 10776.10221875
transcript.pyannote[2491].speaker SPEAKER_03
transcript.pyannote[2491].start 10776.10221875
transcript.pyannote[2491].end 10813.15971875
transcript.pyannote[2492].speaker SPEAKER_03
transcript.pyannote[2492].start 10813.46346875
transcript.pyannote[2492].end 10825.02284375
transcript.pyannote[2493].speaker SPEAKER_03
transcript.pyannote[2493].start 10825.22534375
transcript.pyannote[2493].end 10829.12346875
transcript.pyannote[2494].speaker SPEAKER_03
transcript.pyannote[2494].start 10829.35971875
transcript.pyannote[2494].end 10844.76659375
transcript.pyannote[2495].speaker SPEAKER_03
transcript.pyannote[2495].start 10845.01971875
transcript.pyannote[2495].end 10852.52909375
transcript.pyannote[2496].speaker SPEAKER_03
transcript.pyannote[2496].start 10852.74846875
transcript.pyannote[2496].end 10859.43096875
transcript.pyannote[2497].speaker SPEAKER_03
transcript.pyannote[2497].start 10859.93721875
transcript.pyannote[2497].end 10868.54346875
transcript.pyannote[2498].speaker SPEAKER_08
transcript.pyannote[2498].start 10869.50534375
transcript.pyannote[2498].end 10883.07284375
transcript.pyannote[2499].speaker SPEAKER_08
transcript.pyannote[2499].start 10883.42721875
transcript.pyannote[2499].end 10884.82784375
transcript.pyannote[2500].speaker SPEAKER_08
transcript.pyannote[2500].start 10885.23284375
transcript.pyannote[2500].end 10888.59096875
transcript.pyannote[2501].speaker SPEAKER_08
transcript.pyannote[2501].start 10888.74284375
transcript.pyannote[2501].end 10900.09971875
transcript.pyannote[2502].speaker SPEAKER_08
transcript.pyannote[2502].start 10900.20096875
transcript.pyannote[2502].end 10919.96159375
transcript.pyannote[2503].speaker SPEAKER_08
transcript.pyannote[2503].start 10920.21471875
transcript.pyannote[2503].end 10922.62784375
transcript.pyannote[2504].speaker SPEAKER_08
transcript.pyannote[2504].start 10922.86409375
transcript.pyannote[2504].end 10924.07909375
transcript.pyannote[2505].speaker SPEAKER_08
transcript.pyannote[2505].start 10924.34909375
transcript.pyannote[2505].end 10928.73659375
transcript.pyannote[2506].speaker SPEAKER_08
transcript.pyannote[2506].start 10928.78721875
transcript.pyannote[2506].end 10930.82909375
transcript.pyannote[2507].speaker SPEAKER_08
transcript.pyannote[2507].start 10931.06534375
transcript.pyannote[2507].end 10933.59659375
transcript.pyannote[2508].speaker SPEAKER_08
transcript.pyannote[2508].start 10934.57534375
transcript.pyannote[2508].end 10937.14034375
transcript.pyannote[2509].speaker SPEAKER_08
transcript.pyannote[2509].start 10937.76471875
transcript.pyannote[2509].end 10941.84846875
transcript.pyannote[2510].speaker SPEAKER_09
transcript.pyannote[2510].start 10941.84846875
transcript.pyannote[2510].end 10942.08471875
transcript.pyannote[2511].speaker SPEAKER_08
transcript.pyannote[2511].start 10941.96659375
transcript.pyannote[2511].end 10944.26159375
transcript.pyannote[2512].speaker SPEAKER_08
transcript.pyannote[2512].start 10944.80159375
transcript.pyannote[2512].end 10948.66596875
transcript.pyannote[2513].speaker SPEAKER_08
transcript.pyannote[2513].start 10948.83471875
transcript.pyannote[2513].end 10952.36159375
transcript.pyannote[2514].speaker SPEAKER_08
transcript.pyannote[2514].start 10953.03659375
transcript.pyannote[2514].end 10956.46221875
transcript.pyannote[2515].speaker SPEAKER_08
transcript.pyannote[2515].start 10956.63096875
transcript.pyannote[2515].end 10960.15784375
transcript.pyannote[2516].speaker SPEAKER_03
transcript.pyannote[2516].start 10960.15784375
transcript.pyannote[2516].end 10960.25909375
transcript.pyannote[2517].speaker SPEAKER_08
transcript.pyannote[2517].start 10960.25909375
transcript.pyannote[2517].end 10960.32659375
transcript.pyannote[2518].speaker SPEAKER_03
transcript.pyannote[2518].start 10960.32659375
transcript.pyannote[2518].end 10960.34346875
transcript.pyannote[2519].speaker SPEAKER_08
transcript.pyannote[2519].start 10960.34346875
transcript.pyannote[2519].end 10960.39409375
transcript.pyannote[2520].speaker SPEAKER_08
transcript.pyannote[2520].start 10960.54596875
transcript.pyannote[2520].end 10964.29221875
transcript.pyannote[2521].speaker SPEAKER_08
transcript.pyannote[2521].start 10964.30909375
transcript.pyannote[2521].end 10977.69096875
transcript.pyannote[2522].speaker SPEAKER_08
transcript.pyannote[2522].start 10977.72471875
transcript.pyannote[2522].end 10984.59284375
transcript.pyannote[2523].speaker SPEAKER_08
transcript.pyannote[2523].start 10984.67721875
transcript.pyannote[2523].end 10987.47846875
transcript.pyannote[2524].speaker SPEAKER_08
transcript.pyannote[2524].start 10987.81596875
transcript.pyannote[2524].end 10991.30909375
transcript.pyannote[2525].speaker SPEAKER_08
transcript.pyannote[2525].start 10991.54534375
transcript.pyannote[2525].end 10993.80659375
transcript.pyannote[2526].speaker SPEAKER_03
transcript.pyannote[2526].start 10993.38471875
transcript.pyannote[2526].end 10998.02534375
transcript.pyannote[2527].speaker SPEAKER_03
transcript.pyannote[2527].start 10998.09284375
transcript.pyannote[2527].end 11001.07971875
transcript.pyannote[2528].speaker SPEAKER_03
transcript.pyannote[2528].start 11001.72096875
transcript.pyannote[2528].end 11002.61534375
transcript.pyannote[2529].speaker SPEAKER_08
transcript.pyannote[2529].start 11003.10471875
transcript.pyannote[2529].end 11018.37659375
transcript.pyannote[2530].speaker SPEAKER_08
transcript.pyannote[2530].start 11018.79846875
transcript.pyannote[2530].end 11025.63284375
transcript.pyannote[2531].speaker SPEAKER_09
transcript.pyannote[2531].start 11025.63284375
transcript.pyannote[2531].end 11025.73409375
transcript.pyannote[2532].speaker SPEAKER_08
transcript.pyannote[2532].start 11025.73409375
transcript.pyannote[2532].end 11030.89784375
transcript.pyannote[2533].speaker SPEAKER_08
transcript.pyannote[2533].start 11031.30284375
transcript.pyannote[2533].end 11034.98159375
transcript.pyannote[2534].speaker SPEAKER_03
transcript.pyannote[2534].start 11031.92721875
transcript.pyannote[2534].end 11031.96096875
transcript.pyannote[2535].speaker SPEAKER_09
transcript.pyannote[2535].start 11031.96096875
transcript.pyannote[2535].end 11032.50096875
transcript.pyannote[2536].speaker SPEAKER_03
transcript.pyannote[2536].start 11032.50096875
transcript.pyannote[2536].end 11032.55159375
transcript.pyannote[2537].speaker SPEAKER_08
transcript.pyannote[2537].start 11035.30221875
transcript.pyannote[2537].end 11037.76596875
transcript.pyannote[2538].speaker SPEAKER_08
transcript.pyannote[2538].start 11037.86721875
transcript.pyannote[2538].end 11043.85784375
transcript.pyannote[2539].speaker SPEAKER_03
transcript.pyannote[2539].start 11043.85784375
transcript.pyannote[2539].end 11053.91534375
transcript.pyannote[2540].speaker SPEAKER_08
transcript.pyannote[2540].start 11043.89159375
transcript.pyannote[2540].end 11044.22909375
transcript.pyannote[2541].speaker SPEAKER_08
transcript.pyannote[2541].start 11053.22346875
transcript.pyannote[2541].end 11063.92221875
transcript.pyannote[2542].speaker SPEAKER_03
transcript.pyannote[2542].start 11063.44971875
transcript.pyannote[2542].end 11064.64784375
transcript.pyannote[2543].speaker SPEAKER_03
transcript.pyannote[2543].start 11064.86721875
transcript.pyannote[2543].end 11069.84534375
transcript.pyannote[2544].speaker SPEAKER_03
transcript.pyannote[2544].start 11070.04784375
transcript.pyannote[2544].end 11076.22409375
transcript.pyannote[2545].speaker SPEAKER_03
transcript.pyannote[2545].start 11076.32534375
transcript.pyannote[2545].end 11080.17284375
transcript.pyannote[2546].speaker SPEAKER_03
transcript.pyannote[2546].start 11080.42596875
transcript.pyannote[2546].end 11093.38596875
transcript.pyannote[2547].speaker SPEAKER_00
transcript.pyannote[2547].start 11087.95221875
transcript.pyannote[2547].end 11088.01971875
transcript.pyannote[2548].speaker SPEAKER_00
transcript.pyannote[2548].start 11088.05346875
transcript.pyannote[2548].end 11088.10409375
transcript.pyannote[2549].speaker SPEAKER_09
transcript.pyannote[2549].start 11088.10409375
transcript.pyannote[2549].end 11088.17159375
transcript.pyannote[2550].speaker SPEAKER_00
transcript.pyannote[2550].start 11088.17159375
transcript.pyannote[2550].end 11088.20534375
transcript.pyannote[2551].speaker SPEAKER_03
transcript.pyannote[2551].start 11093.60534375
transcript.pyannote[2551].end 11107.30784375
transcript.pyannote[2552].speaker SPEAKER_08
transcript.pyannote[2552].start 11107.54409375
transcript.pyannote[2552].end 11131.86096875
transcript.pyannote[2553].speaker SPEAKER_03
transcript.pyannote[2553].start 11127.99659375
transcript.pyannote[2553].end 11128.11471875
transcript.pyannote[2554].speaker SPEAKER_03
transcript.pyannote[2554].start 11128.14846875
transcript.pyannote[2554].end 11128.35096875
transcript.pyannote[2555].speaker SPEAKER_03
transcript.pyannote[2555].start 11131.28721875
transcript.pyannote[2555].end 11132.16471875
transcript.pyannote[2556].speaker SPEAKER_08
transcript.pyannote[2556].start 11132.40096875
transcript.pyannote[2556].end 11136.55221875
transcript.pyannote[2557].speaker SPEAKER_08
transcript.pyannote[2557].start 11137.05846875
transcript.pyannote[2557].end 11138.72909375
transcript.pyannote[2558].speaker SPEAKER_09
transcript.pyannote[2558].start 11138.08784375
transcript.pyannote[2558].end 11138.39159375
transcript.pyannote[2559].speaker SPEAKER_08
transcript.pyannote[2559].start 11138.94846875
transcript.pyannote[2559].end 11147.85846875
transcript.pyannote[2560].speaker SPEAKER_08
transcript.pyannote[2560].start 11148.01034375
transcript.pyannote[2560].end 11152.17846875
transcript.pyannote[2561].speaker SPEAKER_08
transcript.pyannote[2561].start 11152.33034375
transcript.pyannote[2561].end 11154.30471875
transcript.pyannote[2562].speaker SPEAKER_08
transcript.pyannote[2562].start 11154.65909375
transcript.pyannote[2562].end 11158.67534375
transcript.pyannote[2563].speaker SPEAKER_08
transcript.pyannote[2563].start 11158.81034375
transcript.pyannote[2563].end 11160.88596875
transcript.pyannote[2564].speaker SPEAKER_08
transcript.pyannote[2564].start 11161.22346875
transcript.pyannote[2564].end 11173.99784375
transcript.pyannote[2565].speaker SPEAKER_08
transcript.pyannote[2565].start 11174.26784375
transcript.pyannote[2565].end 11178.48659375
transcript.pyannote[2566].speaker SPEAKER_08
transcript.pyannote[2566].start 11178.75659375
transcript.pyannote[2566].end 11183.63346875
transcript.pyannote[2567].speaker SPEAKER_08
transcript.pyannote[2567].start 11183.85284375
transcript.pyannote[2567].end 11199.86721875
transcript.pyannote[2568].speaker SPEAKER_08
transcript.pyannote[2568].start 11200.25534375
transcript.pyannote[2568].end 11201.87534375
transcript.pyannote[2569].speaker SPEAKER_08
transcript.pyannote[2569].start 11202.21284375
transcript.pyannote[2569].end 11204.15346875
transcript.pyannote[2570].speaker SPEAKER_03
transcript.pyannote[2570].start 11203.49534375
transcript.pyannote[2570].end 11205.73971875
transcript.pyannote[2571].speaker SPEAKER_08
transcript.pyannote[2571].start 11205.73971875
transcript.pyannote[2571].end 11209.87409375
transcript.pyannote[2572].speaker SPEAKER_09
transcript.pyannote[2572].start 11209.87409375
transcript.pyannote[2572].end 11210.11034375
transcript.pyannote[2573].speaker SPEAKER_08
transcript.pyannote[2573].start 11210.11034375
transcript.pyannote[2573].end 11220.94409375
transcript.pyannote[2574].speaker SPEAKER_03
transcript.pyannote[2574].start 11221.04534375
transcript.pyannote[2574].end 11232.46971875
transcript.pyannote[2575].speaker SPEAKER_03
transcript.pyannote[2575].start 11232.68909375
transcript.pyannote[2575].end 11237.53221875
transcript.pyannote[2576].speaker SPEAKER_03
transcript.pyannote[2576].start 11238.05534375
transcript.pyannote[2576].end 11244.41721875
transcript.pyannote[2577].speaker SPEAKER_03
transcript.pyannote[2577].start 11244.68721875
transcript.pyannote[2577].end 11257.86659375
transcript.pyannote[2578].speaker SPEAKER_03
transcript.pyannote[2578].start 11258.00159375
transcript.pyannote[2578].end 11270.08409375
transcript.pyannote[2579].speaker SPEAKER_03
transcript.pyannote[2579].start 11270.43846875
transcript.pyannote[2579].end 11282.48721875
transcript.pyannote[2580].speaker SPEAKER_03
transcript.pyannote[2580].start 11282.80784375
transcript.pyannote[2580].end 11288.03909375
transcript.pyannote[2581].speaker SPEAKER_03
transcript.pyannote[2581].start 11288.61284375
transcript.pyannote[2581].end 11294.73846875
transcript.pyannote[2582].speaker SPEAKER_03
transcript.pyannote[2582].start 11295.10971875
transcript.pyannote[2582].end 11298.87284375
transcript.pyannote[2583].speaker SPEAKER_03
transcript.pyannote[2583].start 11299.17659375
transcript.pyannote[2583].end 11301.18471875
transcript.pyannote[2584].speaker SPEAKER_03
transcript.pyannote[2584].start 11301.64034375
transcript.pyannote[2584].end 11305.60596875
transcript.pyannote[2585].speaker SPEAKER_03
transcript.pyannote[2585].start 11305.94346875
transcript.pyannote[2585].end 11308.42409375
transcript.pyannote[2586].speaker SPEAKER_03
transcript.pyannote[2586].start 11308.74471875
transcript.pyannote[2586].end 11311.44471875
transcript.pyannote[2587].speaker SPEAKER_03
transcript.pyannote[2587].start 11312.18721875
transcript.pyannote[2587].end 11315.29221875
transcript.pyannote[2588].speaker SPEAKER_03
transcript.pyannote[2588].start 11315.51159375
transcript.pyannote[2588].end 11351.16846875
transcript.pyannote[2589].speaker SPEAKER_03
transcript.pyannote[2589].start 11351.23596875
transcript.pyannote[2589].end 11361.90096875
transcript.pyannote[2590].speaker SPEAKER_03
transcript.pyannote[2590].start 11362.13721875
transcript.pyannote[2590].end 11365.09034375
transcript.pyannote[2591].speaker SPEAKER_03
transcript.pyannote[2591].start 11365.25909375
transcript.pyannote[2591].end 11366.42346875
transcript.pyannote[2592].speaker SPEAKER_03
transcript.pyannote[2592].start 11366.71034375
transcript.pyannote[2592].end 11370.27096875
transcript.pyannote[2593].speaker SPEAKER_03
transcript.pyannote[2593].start 11370.43971875
transcript.pyannote[2593].end 11371.28346875
transcript.pyannote[2594].speaker SPEAKER_03
transcript.pyannote[2594].start 11371.60409375
transcript.pyannote[2594].end 11372.88659375
transcript.pyannote[2595].speaker SPEAKER_03
transcript.pyannote[2595].start 11372.98784375
transcript.pyannote[2595].end 11373.59534375
transcript.pyannote[2596].speaker SPEAKER_03
transcript.pyannote[2596].start 11373.96659375
transcript.pyannote[2596].end 11381.07096875
transcript.pyannote[2597].speaker SPEAKER_03
transcript.pyannote[2597].start 11381.29034375
transcript.pyannote[2597].end 11382.80909375
transcript.pyannote[2598].speaker SPEAKER_03
transcript.pyannote[2598].start 11383.02846875
transcript.pyannote[2598].end 11384.53034375
transcript.pyannote[2599].speaker SPEAKER_03
transcript.pyannote[2599].start 11384.66534375
transcript.pyannote[2599].end 11386.18409375
transcript.pyannote[2600].speaker SPEAKER_03
transcript.pyannote[2600].start 11386.21784375
transcript.pyannote[2600].end 11387.38221875
transcript.pyannote[2601].speaker SPEAKER_08
transcript.pyannote[2601].start 11388.51284375
transcript.pyannote[2601].end 11391.14534375
transcript.pyannote[2602].speaker SPEAKER_08
transcript.pyannote[2602].start 11391.85409375
transcript.pyannote[2602].end 11392.71471875
transcript.pyannote[2603].speaker SPEAKER_08
transcript.pyannote[2603].start 11393.18721875
transcript.pyannote[2603].end 11394.60471875
transcript.pyannote[2604].speaker SPEAKER_08
transcript.pyannote[2604].start 11394.68909375
transcript.pyannote[2604].end 11395.63409375
transcript.pyannote[2605].speaker SPEAKER_08
transcript.pyannote[2605].start 11396.05596875
transcript.pyannote[2605].end 11400.19034375
transcript.pyannote[2606].speaker SPEAKER_03
transcript.pyannote[2606].start 11400.19034375
transcript.pyannote[2606].end 11400.49409375
transcript.pyannote[2607].speaker SPEAKER_08
transcript.pyannote[2607].start 11400.76409375
transcript.pyannote[2607].end 11403.39659375
transcript.pyannote[2608].speaker SPEAKER_03
transcript.pyannote[2608].start 11403.46409375
transcript.pyannote[2608].end 11403.78471875
transcript.pyannote[2609].speaker SPEAKER_08
transcript.pyannote[2609].start 11403.76784375
transcript.pyannote[2609].end 11404.25721875
transcript.pyannote[2610].speaker SPEAKER_08
transcript.pyannote[2610].start 11404.67909375
transcript.pyannote[2610].end 11408.40846875
transcript.pyannote[2611].speaker SPEAKER_08
transcript.pyannote[2611].start 11408.69534375
transcript.pyannote[2611].end 11410.28159375
transcript.pyannote[2612].speaker SPEAKER_03
transcript.pyannote[2612].start 11409.21846875
transcript.pyannote[2612].end 11424.37221875
transcript.pyannote[2613].speaker SPEAKER_03
transcript.pyannote[2613].start 11424.62534375
transcript.pyannote[2613].end 11426.38034375
transcript.pyannote[2614].speaker SPEAKER_03
transcript.pyannote[2614].start 11426.85284375
transcript.pyannote[2614].end 11431.54409375
transcript.pyannote[2615].speaker SPEAKER_08
transcript.pyannote[2615].start 11432.38784375
transcript.pyannote[2615].end 11434.69971875
transcript.pyannote[2616].speaker SPEAKER_08
transcript.pyannote[2616].start 11434.91909375
transcript.pyannote[2616].end 11435.61096875
transcript.pyannote[2617].speaker SPEAKER_08
transcript.pyannote[2617].start 11436.13409375
transcript.pyannote[2617].end 11437.16346875
transcript.pyannote[2618].speaker SPEAKER_08
transcript.pyannote[2618].start 11437.36596875
transcript.pyannote[2618].end 11438.39534375
transcript.pyannote[2619].speaker SPEAKER_08
transcript.pyannote[2619].start 11439.01971875
transcript.pyannote[2619].end 11440.13346875
transcript.pyannote[2620].speaker SPEAKER_08
transcript.pyannote[2620].start 11440.84221875
transcript.pyannote[2620].end 11442.88409375
transcript.pyannote[2621].speaker SPEAKER_08
transcript.pyannote[2621].start 11442.96846875
transcript.pyannote[2621].end 11446.74846875
transcript.pyannote[2622].speaker SPEAKER_08
transcript.pyannote[2622].start 11447.05221875
transcript.pyannote[2622].end 11450.22471875
transcript.pyannote[2623].speaker SPEAKER_08
transcript.pyannote[2623].start 11450.59596875
transcript.pyannote[2623].end 11452.30034375
transcript.pyannote[2624].speaker SPEAKER_08
transcript.pyannote[2624].start 11452.58721875
transcript.pyannote[2624].end 11453.54909375
transcript.pyannote[2625].speaker SPEAKER_08
transcript.pyannote[2625].start 11454.20721875
transcript.pyannote[2625].end 11486.16846875
transcript.pyannote[2626].speaker SPEAKER_08
transcript.pyannote[2626].start 11486.67471875
transcript.pyannote[2626].end 11488.12596875
transcript.pyannote[2627].speaker SPEAKER_08
transcript.pyannote[2627].start 11488.39596875
transcript.pyannote[2627].end 11489.29034375
transcript.pyannote[2628].speaker SPEAKER_08
transcript.pyannote[2628].start 11489.59409375
transcript.pyannote[2628].end 11491.99034375
transcript.pyannote[2629].speaker SPEAKER_08
transcript.pyannote[2629].start 11492.37846875
transcript.pyannote[2629].end 11493.35721875
transcript.pyannote[2630].speaker SPEAKER_08
transcript.pyannote[2630].start 11493.57659375
transcript.pyannote[2630].end 11497.23846875
transcript.pyannote[2631].speaker SPEAKER_03
transcript.pyannote[2631].start 11496.49596875
transcript.pyannote[2631].end 11498.09909375
transcript.pyannote[2632].speaker SPEAKER_08
transcript.pyannote[2632].start 11498.31846875
transcript.pyannote[2632].end 11520.23909375
transcript.pyannote[2633].speaker SPEAKER_08
transcript.pyannote[2633].start 11520.28971875
transcript.pyannote[2633].end 11521.62284375
transcript.pyannote[2634].speaker SPEAKER_08
transcript.pyannote[2634].start 11521.97721875
transcript.pyannote[2634].end 11528.57534375
transcript.pyannote[2635].speaker SPEAKER_03
transcript.pyannote[2635].start 11527.74846875
transcript.pyannote[2635].end 11532.22034375
transcript.pyannote[2636].speaker SPEAKER_08
transcript.pyannote[2636].start 11532.22034375
transcript.pyannote[2636].end 11537.36721875
transcript.pyannote[2637].speaker SPEAKER_08
transcript.pyannote[2637].start 11537.45159375
transcript.pyannote[2637].end 11541.02909375
transcript.pyannote[2638].speaker SPEAKER_08
transcript.pyannote[2638].start 11541.26534375
transcript.pyannote[2638].end 11543.29034375
transcript.pyannote[2639].speaker SPEAKER_08
transcript.pyannote[2639].start 11543.39159375
transcript.pyannote[2639].end 11544.37034375
transcript.pyannote[2640].speaker SPEAKER_09
transcript.pyannote[2640].start 11544.37034375
transcript.pyannote[2640].end 11544.57284375
transcript.pyannote[2641].speaker SPEAKER_08
transcript.pyannote[2641].start 11544.57284375
transcript.pyannote[2641].end 11554.96784375
transcript.pyannote[2642].speaker SPEAKER_09
transcript.pyannote[2642].start 11547.98159375
transcript.pyannote[2642].end 11548.26846875
transcript.pyannote[2643].speaker SPEAKER_03
transcript.pyannote[2643].start 11554.96784375
transcript.pyannote[2643].end 11555.03534375
transcript.pyannote[2644].speaker SPEAKER_08
transcript.pyannote[2644].start 11555.03534375
transcript.pyannote[2644].end 11555.05221875
transcript.pyannote[2645].speaker SPEAKER_03
transcript.pyannote[2645].start 11555.05221875
transcript.pyannote[2645].end 11555.11971875
transcript.pyannote[2646].speaker SPEAKER_08
transcript.pyannote[2646].start 11555.11971875
transcript.pyannote[2646].end 11557.54971875
transcript.pyannote[2647].speaker SPEAKER_03
transcript.pyannote[2647].start 11555.13659375
transcript.pyannote[2647].end 11555.15346875
transcript.pyannote[2648].speaker SPEAKER_03
transcript.pyannote[2648].start 11557.21221875
transcript.pyannote[2648].end 11557.39784375
transcript.pyannote[2649].speaker SPEAKER_03
transcript.pyannote[2649].start 11557.48221875
transcript.pyannote[2649].end 11577.46221875
transcript.pyannote[2650].speaker SPEAKER_08
transcript.pyannote[2650].start 11557.70159375
transcript.pyannote[2650].end 11558.73096875
transcript.pyannote[2651].speaker SPEAKER_03
transcript.pyannote[2651].start 11577.79971875
transcript.pyannote[2651].end 11580.17909375
transcript.pyannote[2652].speaker SPEAKER_03
transcript.pyannote[2652].start 11580.29721875
transcript.pyannote[2652].end 11582.25471875
transcript.pyannote[2653].speaker SPEAKER_03
transcript.pyannote[2653].start 11582.76096875
transcript.pyannote[2653].end 11588.05971875
transcript.pyannote[2654].speaker SPEAKER_08
transcript.pyannote[2654].start 11588.68409375
transcript.pyannote[2654].end 11594.25284375
transcript.pyannote[2655].speaker SPEAKER_08
transcript.pyannote[2655].start 11594.28659375
transcript.pyannote[2655].end 11594.30346875
transcript.pyannote[2656].speaker SPEAKER_09
transcript.pyannote[2656].start 11594.30346875
transcript.pyannote[2656].end 11594.64096875
transcript.pyannote[2657].speaker SPEAKER_08
transcript.pyannote[2657].start 11594.74221875
transcript.pyannote[2657].end 11600.83409375
transcript.pyannote[2658].speaker SPEAKER_08
transcript.pyannote[2658].start 11601.27284375
transcript.pyannote[2658].end 11605.57596875
transcript.pyannote[2659].speaker SPEAKER_03
transcript.pyannote[2659].start 11603.87159375
transcript.pyannote[2659].end 11612.89971875
transcript.pyannote[2660].speaker SPEAKER_08
transcript.pyannote[2660].start 11612.98409375
transcript.pyannote[2660].end 11622.26534375
transcript.pyannote[2661].speaker SPEAKER_09
transcript.pyannote[2661].start 11622.33284375
transcript.pyannote[2661].end 11622.63659375
transcript.pyannote[2662].speaker SPEAKER_08
transcript.pyannote[2662].start 11622.63659375
transcript.pyannote[2662].end 11632.00221875
transcript.pyannote[2663].speaker SPEAKER_09
transcript.pyannote[2663].start 11623.54784375
transcript.pyannote[2663].end 11625.87659375
transcript.pyannote[2664].speaker SPEAKER_09
transcript.pyannote[2664].start 11626.53471875
transcript.pyannote[2664].end 11626.73721875
transcript.pyannote[2665].speaker SPEAKER_03
transcript.pyannote[2665].start 11626.73721875
transcript.pyannote[2665].end 11626.75409375
transcript.pyannote[2666].speaker SPEAKER_08
transcript.pyannote[2666].start 11632.28909375
transcript.pyannote[2666].end 11634.38159375
transcript.pyannote[2667].speaker SPEAKER_08
transcript.pyannote[2667].start 11634.70221875
transcript.pyannote[2667].end 11635.25909375
transcript.pyannote[2668].speaker SPEAKER_08
transcript.pyannote[2668].start 11635.39409375
transcript.pyannote[2668].end 11638.61721875
transcript.pyannote[2669].speaker SPEAKER_08
transcript.pyannote[2669].start 11638.87034375
transcript.pyannote[2669].end 11641.85721875
transcript.pyannote[2670].speaker SPEAKER_08
transcript.pyannote[2670].start 11641.89096875
transcript.pyannote[2670].end 11641.92471875
transcript.pyannote[2671].speaker SPEAKER_03
transcript.pyannote[2671].start 11641.92471875
transcript.pyannote[2671].end 11642.14409375
transcript.pyannote[2672].speaker SPEAKER_03
transcript.pyannote[2672].start 11643.35909375
transcript.pyannote[2672].end 11643.49409375
transcript.pyannote[2673].speaker SPEAKER_03
transcript.pyannote[2673].start 11643.64596875
transcript.pyannote[2673].end 11649.97409375
transcript.pyannote[2674].speaker SPEAKER_03
transcript.pyannote[2674].start 11650.17659375
transcript.pyannote[2674].end 11653.43346875
transcript.pyannote[2675].speaker SPEAKER_03
transcript.pyannote[2675].start 11653.77096875
transcript.pyannote[2675].end 11654.98596875
transcript.pyannote[2676].speaker SPEAKER_03
transcript.pyannote[2676].start 11655.39096875
transcript.pyannote[2676].end 11677.39596875
transcript.pyannote[2677].speaker SPEAKER_03
transcript.pyannote[2677].start 11677.63221875
transcript.pyannote[2677].end 11681.95221875
transcript.pyannote[2678].speaker SPEAKER_03
transcript.pyannote[2678].start 11682.22221875
transcript.pyannote[2678].end 11685.54659375
transcript.pyannote[2679].speaker SPEAKER_03
transcript.pyannote[2679].start 11685.76596875
transcript.pyannote[2679].end 11696.86971875
transcript.pyannote[2680].speaker SPEAKER_03
transcript.pyannote[2680].start 11697.29159375
transcript.pyannote[2680].end 11699.35034375
transcript.pyannote[2681].speaker SPEAKER_03
transcript.pyannote[2681].start 11699.50221875
transcript.pyannote[2681].end 11703.41721875
transcript.pyannote[2682].speaker SPEAKER_03
transcript.pyannote[2682].start 11703.77159375
transcript.pyannote[2682].end 11715.56721875
transcript.pyannote[2683].speaker SPEAKER_08
transcript.pyannote[2683].start 11716.37721875
transcript.pyannote[2683].end 11717.32221875
transcript.pyannote[2684].speaker SPEAKER_08
transcript.pyannote[2684].start 11717.59221875
transcript.pyannote[2684].end 11720.74784375
transcript.pyannote[2685].speaker SPEAKER_08
transcript.pyannote[2685].start 11721.11909375
transcript.pyannote[2685].end 11725.21971875
transcript.pyannote[2686].speaker SPEAKER_08
transcript.pyannote[2686].start 11725.65846875
transcript.pyannote[2686].end 11725.92846875
transcript.pyannote[2687].speaker SPEAKER_08
transcript.pyannote[2687].start 11726.11409375
transcript.pyannote[2687].end 11728.54409375
transcript.pyannote[2688].speaker SPEAKER_08
transcript.pyannote[2688].start 11728.83096875
transcript.pyannote[2688].end 11733.79221875
transcript.pyannote[2689].speaker SPEAKER_09
transcript.pyannote[2689].start 11733.79221875
transcript.pyannote[2689].end 11734.02846875
transcript.pyannote[2690].speaker SPEAKER_08
transcript.pyannote[2690].start 11734.02846875
transcript.pyannote[2690].end 11747.52846875
transcript.pyannote[2691].speaker SPEAKER_03
transcript.pyannote[2691].start 11743.49534375
transcript.pyannote[2691].end 11744.13659375
transcript.pyannote[2692].speaker SPEAKER_03
transcript.pyannote[2692].start 11745.30096875
transcript.pyannote[2692].end 11751.79784375
transcript.pyannote[2693].speaker SPEAKER_03
transcript.pyannote[2693].start 11751.93284375
transcript.pyannote[2693].end 11753.02971875
transcript.pyannote[2694].speaker SPEAKER_03
transcript.pyannote[2694].start 11753.24909375
transcript.pyannote[2694].end 11754.09284375
transcript.pyannote[2695].speaker SPEAKER_03
transcript.pyannote[2695].start 11754.27846875
transcript.pyannote[2695].end 11756.62409375
transcript.pyannote[2696].speaker SPEAKER_03
transcript.pyannote[2696].start 11756.80971875
transcript.pyannote[2696].end 11764.75784375
transcript.pyannote[2697].speaker SPEAKER_03
transcript.pyannote[2697].start 11765.28096875
transcript.pyannote[2697].end 11769.56721875
transcript.pyannote[2698].speaker SPEAKER_08
transcript.pyannote[2698].start 11770.56284375
transcript.pyannote[2698].end 11771.33909375
transcript.pyannote[2699].speaker SPEAKER_08
transcript.pyannote[2699].start 11771.86221875
transcript.pyannote[2699].end 11784.36659375
transcript.pyannote[2700].speaker SPEAKER_03
transcript.pyannote[2700].start 11777.98784375
transcript.pyannote[2700].end 11780.02971875
transcript.pyannote[2701].speaker SPEAKER_03
transcript.pyannote[2701].start 11781.36284375
transcript.pyannote[2701].end 11781.51471875
transcript.pyannote[2702].speaker SPEAKER_03
transcript.pyannote[2702].start 11782.84784375
transcript.pyannote[2702].end 11784.18096875
transcript.pyannote[2703].speaker SPEAKER_03
transcript.pyannote[2703].start 11784.36659375
transcript.pyannote[2703].end 11784.75471875
transcript.pyannote[2704].speaker SPEAKER_08
transcript.pyannote[2704].start 11784.75471875
transcript.pyannote[2704].end 11784.78846875
transcript.pyannote[2705].speaker SPEAKER_08
transcript.pyannote[2705].start 11784.85596875
transcript.pyannote[2705].end 11819.83784375
transcript.pyannote[2706].speaker SPEAKER_09
transcript.pyannote[2706].start 11817.54284375
transcript.pyannote[2706].end 11817.79596875
transcript.pyannote[2707].speaker SPEAKER_08
transcript.pyannote[2707].start 11820.15846875
transcript.pyannote[2707].end 11823.65159375
transcript.pyannote[2708].speaker SPEAKER_03
transcript.pyannote[2708].start 11824.54596875
transcript.pyannote[2708].end 11839.59846875
transcript.pyannote[2709].speaker SPEAKER_03
transcript.pyannote[2709].start 11839.76721875
transcript.pyannote[2709].end 11851.95096875
transcript.pyannote[2710].speaker SPEAKER_03
transcript.pyannote[2710].start 11852.01846875
transcript.pyannote[2710].end 11852.03534375
transcript.pyannote[2711].speaker SPEAKER_03
transcript.pyannote[2711].start 11852.05221875
transcript.pyannote[2711].end 11854.54971875
transcript.pyannote[2712].speaker SPEAKER_03
transcript.pyannote[2712].start 11855.12346875
transcript.pyannote[2712].end 11859.52784375
transcript.pyannote[2713].speaker SPEAKER_03
transcript.pyannote[2713].start 11860.32096875
transcript.pyannote[2713].end 11862.51471875
transcript.pyannote[2714].speaker SPEAKER_03
transcript.pyannote[2714].start 11862.64971875
transcript.pyannote[2714].end 11865.11346875
transcript.pyannote[2715].speaker SPEAKER_03
transcript.pyannote[2715].start 11865.38346875
transcript.pyannote[2715].end 11876.06534375
transcript.pyannote[2716].speaker SPEAKER_03
transcript.pyannote[2716].start 11876.16659375
transcript.pyannote[2716].end 11877.63471875
transcript.pyannote[2717].speaker SPEAKER_03
transcript.pyannote[2717].start 11877.78659375
transcript.pyannote[2717].end 11878.90034375
transcript.pyannote[2718].speaker SPEAKER_03
transcript.pyannote[2718].start 11878.93409375
transcript.pyannote[2718].end 11883.74346875
transcript.pyannote[2719].speaker SPEAKER_03
transcript.pyannote[2719].start 11883.96284375
transcript.pyannote[2719].end 11893.19346875
transcript.pyannote[2720].speaker SPEAKER_08
transcript.pyannote[2720].start 11893.39596875
transcript.pyannote[2720].end 11899.63971875
transcript.pyannote[2721].speaker SPEAKER_08
transcript.pyannote[2721].start 11899.90971875
transcript.pyannote[2721].end 11918.32034375
transcript.pyannote[2722].speaker SPEAKER_09
transcript.pyannote[2722].start 11904.24659375
transcript.pyannote[2722].end 11904.46596875
transcript.pyannote[2723].speaker SPEAKER_09
transcript.pyannote[2723].start 11905.22534375
transcript.pyannote[2723].end 11905.57971875
transcript.pyannote[2724].speaker SPEAKER_00
transcript.pyannote[2724].start 11914.27034375
transcript.pyannote[2724].end 11914.67534375
transcript.pyannote[2725].speaker SPEAKER_02
transcript.pyannote[2725].start 11925.88034375
transcript.pyannote[2725].end 11929.79534375
transcript.pyannote[2726].speaker SPEAKER_02
transcript.pyannote[2726].start 11930.47034375
transcript.pyannote[2726].end 11930.92596875
transcript.pyannote[2727].speaker SPEAKER_02
transcript.pyannote[2727].start 11931.90471875
transcript.pyannote[2727].end 11940.42659375
transcript.pyannote[2728].speaker SPEAKER_02
transcript.pyannote[2728].start 11940.78096875
transcript.pyannote[2728].end 11949.96096875
transcript.pyannote[2729].speaker SPEAKER_02
transcript.pyannote[2729].start 11950.41659375
transcript.pyannote[2729].end 11957.47034375
transcript.pyannote[2730].speaker SPEAKER_02
transcript.pyannote[2730].start 11957.72346875
transcript.pyannote[2730].end 11973.04596875
transcript.pyannote[2731].speaker SPEAKER_02
transcript.pyannote[2731].start 11973.80534375
transcript.pyannote[2731].end 11979.00284375
transcript.whisperx[0].start 1776.892
transcript.whisperx[0].end 1791.704
transcript.whisperx[0].text 好 全院委員會我們現在繼續開會請秘書長報告出席人數報告全院委員會出席委員108人已足法定人數好 現在開會陳審計長好
transcript.whisperx[1].start 1795.676
transcript.whisperx[1].end 1819.18
transcript.whisperx[1].text 本次全院委员会之议程依照上午院会通过之协商结论决定办理那现在我们进行讨论事项总统之位审计部审计长陈瑞明任期于114年10月1日届满之依据宪法第104条规定提名陈瑞明审计长续任审计部审计长一职知请同意案
transcript.whisperx[2].start 1819.793
transcript.whisperx[2].end 1845.206
transcript.whisperx[2].text 本案經第三會期第二十五次會議決定交全院委員會審查並經第四會期第一次會議決定於本日下午召開全院委員會進行審查報告全院委員會現在我們審查審計部審計長被提名人陳睿敏資格及是否事任相關事項現在我們先請被提名人陳睿敏審計長做說明時間十分鐘
transcript.whisperx[3].start 1858.686
transcript.whisperx[3].end 1873.463
transcript.whisperx[3].text 主席 各位委員 理事先生今天在以沈記長被提名人的身分列席大院全院委員會接受各位委員的審查和指教祝感榮幸回想起
transcript.whisperx[4].start 1874.434
transcript.whisperx[4].end 1893.29
transcript.whisperx[4].text 六年前也就是108年有幸奉蔡前總統提名後大宴同意擔任審計長一職深感責任重大任職期間積極推動政府之審計之革新與精進並推展各項審計業務
transcript.whisperx[5].start 1895.251
transcript.whisperx[5].end 1921.101
transcript.whisperx[5].text 六年前提出以陋俗監督强化洞察及迈向前瞻作为审计业务三大主轴就任后及接同全体同仁策进三大审计功能专业发展原题即建设性的审计意见促进政府资源有效应用
transcript.whisperx[6].start 1925.612
transcript.whisperx[6].end 1932.414
transcript.whisperx[6].text 在此期間 承蒙大院支持完成《審計部組織法》《審計人員運用條例修法》強化審計機關組織結構與禁用多元審計人才相關策進作為及成果包括
transcript.whisperx[7].start 1943.078
transcript.whisperx[7].end 1964.763
transcript.whisperx[7].text 落實監督方面積極辦理各項財務收支出調查嚴密監督預算之執行並審慎積查財務維持行為端正財務注細令推動數位轉型及智能審計成立諸信處及第六廳掌理數位及科技發展審計事項進六年
transcript.whisperx[8].start 1968.988
transcript.whisperx[8].end 1983.152
transcript.whisperx[8].text 政府各機關依據審計機關的審核意見執行改善設施或節省的支出或增加的收入達1193億元令稽查發現各機關人員設有財務上重大違修行為或機關不負責答覆或答覆不當經
transcript.whisperx[9].start 1995.711
transcript.whisperx[9].end 2017.523
transcript.whisperx[9].text 報請監察案處理 移送司法機關遵辦及通知各機關查明處分組共計643案二 強化洞察方面 考核各機關施政績效敦促完備制度規章 並審慎考核公共社書效能原體建議意見 增進公共利益
transcript.whisperx[10].start 2018.928
transcript.whisperx[10].end 2030.621
transcript.whisperx[10].text 近六年度 考核各機關施政績效發現受有未進職者或效能過低等案件經報酬監察案處理或提供刑事主權參考者 計有583案
transcript.whisperx[11].start 2034.945
transcript.whisperx[11].end 2057.703
transcript.whisperx[11].text 發現制度規章缺失或設施不良提出建議改善意見共計1398項認為有可能提升效能或增進公共利益提出建議意見共計3892項三 邁向前瞻方面便是影響各機關施政或營業效能潛在風險事實疫情
transcript.whisperx[12].start 2060.498
transcript.whisperx[12].end 2077.71
transcript.whisperx[12].text 促請入署風險管理並導入外部專業觀點提升損失意見客觀性與公信力近6年度提出疫情性意見共計903項令導入關鍵損失議題發展機制及成立關鍵損失議題發展委員會進行系統性的查核113年及114年度關鍵損失議題涵蓋氣候變遷調適
transcript.whisperx[13].start 2090.678
transcript.whisperx[13].end 2104.45
transcript.whisperx[13].text 改善所得分配、打擊詐欺、能源轉型等跨域的議題顯示損失機關相關的查核機制已作為已能契合國家長期發展趨勢
transcript.whisperx[14].start 2108.365
transcript.whisperx[14].end 2134.61
transcript.whisperx[14].text 四 強化審核報告方面陸續完成總結算營業非營業的分測編報審核報告清晰對應重要審核意見的揭露二 以電子檔的形式編報各類結算審定表 互表達成表件無主化三 增編重要施政議題的查核專章計78篇供各界審慎重要施政項目的執行成效
transcript.whisperx[15].start 2135.41
transcript.whisperx[15].end 2152.592
transcript.whisperx[15].text 四 建制总结算损失报告查询平台截至114年7月抵止已累计浏览22万7千亿次有效提升损失资讯的可进性促进政府输出特名
transcript.whisperx[16].start 2154.093
transcript.whisperx[16].end 2177.009
transcript.whisperx[16].text 5導入新興科技方面加強導入新興工具方法以審計作業實務並開發數位審計模組辦理人員培訓加以推廣擴散109年至114年7月應用大數據分析技術與AI輔助查核案件或助量化財務效益共計159億元並發現多起政府採購廠商設備案件
transcript.whisperx[17].start 2182.83
transcript.whisperx[17].end 2203.158
transcript.whisperx[17].text 令審計人員應用生存式AI輔助查核及發掘採購異常事證相關成果後天下雜誌報導肯定並受邀與行政機關及產業界進行交流六 強化行政合作方面
transcript.whisperx[18].start 2203.618
transcript.whisperx[18].end 2229.699
transcript.whisperx[18].text 自110年度起推動行政機關優良案例推廣推廣擴散制度由各損棄單位發掘各機關的優良失誤計107案推廣至其他機關參考發揮損棄機關正面影響力並深化損棄機關與廉政政鋒組織單位的合作共同把關政府財務助勢過去六年
transcript.whisperx[19].start 2231.033
transcript.whisperx[19].end 2248.202
transcript.whisperx[19].text 率審計部全體同仁 努力推動審計業務的革新與精進 互助具體績效今年8月 奉總統提名諸請大憲同意續任審計長一職堂後大憲同意當秉持審計機關獨立 廉政 專業創新的核心價值
transcript.whisperx[20].start 2254.204
transcript.whisperx[20].end 2262.338
transcript.whisperx[20].text 先以智慧神跡 勇氣神跡 韌性神跡及共尊善智四大面相 更智
transcript.whisperx[21].start 2264.381
transcript.whisperx[21].end 2285.558
transcript.whisperx[21].text 強化審計族群的行使 擴大發揮審計機關對於促進政府良善治理的價值在智慧審計方面以擴展資訊科技及人工智慧的應用審計部為應全球數位發展及政府數位轉型透過數位審計人才的培育開發數位審計模組強化
transcript.whisperx[22].start 2290.101
transcript.whisperx[22].end 2311.73
transcript.whisperx[22].text 機敏資料的保護等措施 持續發展政府數位審計業務審計部將以過去數位審計發展的成果為基礎加強整合程式AI 大數據分析機器人流程主動化 雲端服務等資訊技術與審計業務建構數位化的審計環境 培養兼具
transcript.whisperx[23].start 2315.852
transcript.whisperx[23].end 2334.183
transcript.whisperx[23].text 資訊分析與審計洞察力的專業審計人員打造高效能的諸會審計作業模式在永續方面 以導致國際實務強化永續發展目標之審計審計部歷年來藉盡先進國家的審計實務檢視政府推動國家永續發展的情形審慎篩選攸關國家永續發展及社會公益的重要資政與
transcript.whisperx[24].start 2344.989
transcript.whisperx[24].end 2368.608
transcript.whisperx[24].text 审核报告专章揭露并自113年入期定期发布政府推动国家永续发展情形的审计报告鉴于国际最高审计机关组织倡导审计机关在追踪复合永续发展议程的角色审计部当前面审视政府永续发展政策的执行情形以不理
transcript.whisperx[25].start 2370.049
transcript.whisperx[25].end 2386.487
transcript.whisperx[25].text 遺漏任何人的精神 確保國家永續發展政策得以落實三在任性審計方面 以前瞻的觀點政府任性治理的查核 審計部參考行政院核定國家發展計畫及
transcript.whisperx[26].start 2390.098
transcript.whisperx[26].end 2406.332
transcript.whisperx[26].text 世界經濟論壇聯合國全球風險報告規劃辦理相關查核工作未來當除夕加強查核行政機關推動產業民生資通安全國土防衛等面向的潤性措施強化
transcript.whisperx[27].start 2406.912
transcript.whisperx[27].end 2413.639
transcript.whisperx[27].text 公部門助理的任性與調適能力檢討優化關鍵損棄議題的發展機制以國家整體觀點協助行政部門辨識潛在施政風險與挑戰展現損棄機關促進國家長遠發展之積極功能
transcript.whisperx[28].start 2424.489
transcript.whisperx[28].end 2448.427
transcript.whisperx[28].text 四 在共治善治方面與損棄行動協力共促政府善治之願景自107年上至以來不僅要求損棄機關查核公共資源應用的合法性與效益性皆同前提損棄同仁從善意把關 觸發協助行政機關提升治理效能未來當更新強化損核報告
transcript.whisperx[29].start 2449.946
transcript.whisperx[29].end 2476.873
transcript.whisperx[29].text 及政府的資訊透明度並暢通政府與公民多元溝通管道令擴大發展與推廣行政機關優良實務透過正向的經驗分享與溝通與勾結攜手努力實現政府一體共振善治美好運行以上報告請請主席 各位委員 女士 先生 主持 主教 謝謝
transcript.whisperx[30].start 2482.318
transcript.whisperx[30].end 2499.228
transcript.whisperx[30].text 謝謝 被提名人陳審計長報告我們現在開始進行委員詢問每位委員詢答時間為20分鐘採疑問疑答方式進行輪到詢問委員如果不在場我們視為棄權首先我們請洪孟凱委員詢問陳昭之委員請準備
transcript.whisperx[31].start 2523.183
transcript.whisperx[31].end 2552.512
transcript.whisperx[31].text 主席謝謝麻煩請陳審計長被提名人麻煩被提名人陳審議長馮委員好好審計長及被提名人你好六年前也是在這個場合受到蔡英文前總統的提名那請教再一次被提名會不會感覺到意外應該是有點意外有點意外怎麼說
transcript.whisperx[32].start 2554.987
transcript.whisperx[32].end 2572.634
transcript.whisperx[32].text 年紀已大但是國家需要你的時候還是要義不容辭是不是這個因為在審計部可以為國家為人民做一點事為國家為人民立法部門如此行政部門審計部門也應當如此所以我們看到過去
transcript.whisperx[33].start 2574.053
transcript.whisperx[33].end 2603.127
transcript.whisperx[33].text 不管說我們審計部公佈中央政府總預算的審核報告也揭露不少的預算缺失包括說兩兆多元的前瞻預算特別預算以及施政不力但還被監察院院長在會議之中質詢質問說不應該引起外界的解讀落差那審計長我們想請教再一次被告知說被提名為新任審計長的時候有沒有特別交代你什麼
transcript.whisperx[34].start 2604.025
transcript.whisperx[34].end 2633.164
transcript.whisperx[34].text 沒有所以你保證可以堅守審計權為數字說話當然把官預算跟國人一起捍衛對好那國會會力挺審計權因為我們要追討的是浪花濫用的預算預算當用則用當審則審該用的我們國會不會惡意的來去做阻撓但是如果說不當用的或是浪花的也一定要追討回來您同意嗎
transcript.whisperx[35].start 2633.732
transcript.whisperx[35].end 2662.415
transcript.whisperx[35].text 同意好 沈議長請教在過去審計部有發現超思雞蛋這個案件裡面有交易憑證不正確甚至有不法金額超過六千萬元經濟我們監察院跟審計部都不願意核銷但是北檢卻蜻蜓點水只有起訴三個人農業部不管是部長 市長 司長 科長 董事長全部都牽結不起訴你認為合理嗎
transcript.whisperx[36].start 2663.991
transcript.whisperx[36].end 2682.8
transcript.whisperx[36].text 這是國家的體制因為我審計部發現的問題有違法施職依照審計法我送檢調如果有施職或者效能不彰我送監察院監察院檢調這一次有起訴我尊重司法的
transcript.whisperx[37].start 2684.901
transcript.whisperx[37].end 2705.97
transcript.whisperx[37].text 我們可不可以請教一下當初超私雞蛋爭議的時候審計部的資料告訴我們說是損失至少有這個6000萬元不法金額而損失納稅人的錢是超過5億以上而這5億還不包括產業衝擊以及對人民的影響這審計部報告裡面清楚明白指出的嗎
transcript.whisperx[38].start 2708.106
transcript.whisperx[38].end 2720.847
transcript.whisperx[38].text 對比這樣子不管是不法金額六千萬或者是我們損失五億以上就到最後只有下面的同仁來做負責上面決策單位沒有任何一個負責你覺得以實務經驗來講這樣合理嗎
transcript.whisperx[39].start 2723.025
transcript.whisperx[39].end 2742.646
transcript.whisperx[39].text 這個因為是書法的偵查權我們尊重書法偵查權那損失的預算該誰負責損失我們移送給監察院監察院糾正了農業部並彈劾了他的主辦書的書長還有他的相關同仁城市長有沒有看到最近的一個新聞
transcript.whisperx[40].start 2744.589
transcript.whisperx[40].end 2757.403
transcript.whisperx[40].text 這個清潔隊台北市清潔隊員回收價值32塊的二手電鍋轉送給一個拾荒婦女就會依貪污治罪條例法定5年以上有期徒刑來去被起訴
transcript.whisperx[41].start 2758.493
transcript.whisperx[41].end 2775.969
transcript.whisperx[41].text 那結果這一個超私雞蛋全國那麼大關注審計報告裡面也清楚明白講了是不法金額有六千萬五億以上的一個損失結果到最後居然是以詐欺罪來做起訴癥結而不是用貪污自罪條例會不會覺得雙重標準非常諷刺因為
transcript.whisperx[42].start 2777.692
transcript.whisperx[42].end 2795.787
transcript.whisperx[42].text 他啟示的人員大概就是廠商還有細產會的人所以官員沒有任何的責任從上到下我相信連審計部門、法務部門所有大家都受到當時缺少雞蛋所苦
transcript.whisperx[43].start 2797.059
transcript.whisperx[43].end 2805.968
transcript.whisperx[43].text 我不客氣的講那是國難結果有人在這仇中發國難財結果決策單位沒有一個人要負責沒有一個領導階層或決策階層的人應該負責沈記長
transcript.whisperx[44].start 2810.117
transcript.whisperx[44].end 2834.176
transcript.whisperx[44].text 這一個因為是國家有國家的體制因為我們的審計法是發現不法或者發現效能不彰或者發現失足我們都審計法所以您覺得這次這樣的起訴你可以接受嗎以我們這樣子審計資料提出來的你可以接受因為我尊重這個是國家的體制我要尊重
transcript.whisperx[45].start 2835.25
transcript.whisperx[45].end 2859.702
transcript.whisperx[45].text 你不能只是尊重啊沈議長因為我已經做我的第一關我們希望他一種名義就講了如果說有任何的預算被濫用了那我們是不是應該要窮盡一切辦法讓該負責任的應該負責因為是這樣因為我們有三這一個部分我們發現了剛剛委員有講單計好像和企業規定不合我們已經刪減他兩億七千多萬這兩億七千多萬除了減掉
transcript.whisperx[46].start 2864.744
transcript.whisperx[46].end 2884.281
transcript.whisperx[46].text 查出來 檢查剛剛委員講的六千多萬有問題一萬我們這些還是要兩億多我們還是要看他的單據是不是符合法規規定這是我們損記的主軸我們國家不能讓外界認為只敢打
transcript.whisperx[47].start 2885.951
transcript.whisperx[47].end 2904.008
transcript.whisperx[47].text 蒼蠅不敢打老虎只敢對清潔隊員32塊電鍋就用貪污治罪條例結果真真正正影響到全國人民的事情卻是高高舉起輕輕放下好 提名的人你既然有提到是說這有可能減掉的部分那另外我再請教就業安定基金
transcript.whisperx[48].start 2905.359
transcript.whisperx[48].end 2930.362
transcript.whisperx[48].text 剪掉相對來講比較沒有直接的關係因為審計部分有特別點出來就業安定基金決算裡面用途關聯性不高應該予以收回有高達7224萬對吧對好那這個7224萬但是沒想到勞動部居然講是說他要用人民納稅前編列公務預算來回補這就業安定基金沈議長你可以同意嗎
transcript.whisperx[49].start 2931.687
transcript.whisperx[49].end 2957.616
transcript.whisperx[49].text 這個因為我們的關聯性不高勞動部要逐項查明如果因為其中也有送檢調的我們先講就業安定基金能不能去開演唱會能不能去拍影片做大內宣能不能去裝潢辦公室這個他勞動部要逐項查明逐項查明以後他會報如果
transcript.whisperx[50].start 2958.516
transcript.whisperx[50].end 2976.073
transcript.whisperx[50].text 他是公務用途他會報行政院行政院會要不要給他編列預算這個由行政院決定大院會不會通過這個由大院決定那至於他要我們希望他基金和公務要把他劃分清楚
transcript.whisperx[51].start 2977.694
transcript.whisperx[51].end 2997.912
transcript.whisperx[51].text 市長你們是把關預算執行的單位那既然預算被這樣濫用了這樣的一個預算其實用途完全不符合我們也看到這樣的狀況了不管是開演唱會不管是辦公室裝修或者是影片一魚多吃一支影片變成五支然後分散來去做核銷那麼請教7224萬
transcript.whisperx[52].start 3002.937
transcript.whisperx[52].end 3014.705
transcript.whisperx[52].text 這個應該是跟這個執行者就是所謂的這些部長 司長來去做追查還是要由公務預算來買單這個我們第一個要先追查他那些有沒有私用
transcript.whisperx[53].start 3015.624
transcript.whisperx[53].end 3039.782
transcript.whisperx[53].text 就已經使用了嘛 所以你們點出來這不符合阿這個 剪掉等一下我現在 因為你是被提名人我們要知道你的態度跟專業能不能讓我們在信任六年把審計權交給你所以我們才想問的是說如果說遇到這樣的狀況到底是要行政部門去編列預算用人民納稅錢來回補還是應該由始作俑者來負起這個責任就這麼簡單
transcript.whisperx[54].start 3042.284
transcript.whisperx[54].end 3056.8
transcript.whisperx[54].text 這個是一個要因為這個是受及司法的問題所以我們移送檢調受及效能不彰的問題或者你濫用或者怎麼樣那我們已經移送檢查案檢查案
transcript.whisperx[55].start 3058.612
transcript.whisperx[55].end 3081.26
transcript.whisperx[55].text 糾正了 彈劾了既然糾正 既然彈劾 是不是代表說那一個濫用預算的人有責任那是不是應該由他來回歸回補給國家預算而不是用國家人民的納稅預算再去補那個基金所以我們勞動部查明他要審慎的來查明這個相關的省局長 現在就是官官相護嘛
transcript.whisperx[56].start 3081.9
transcript.whisperx[56].end 3099.857
transcript.whisperx[56].text 因為我們還會看到官官相護我們就是看到這個總共人民才會沒有辦法接受所以才期待一個獨立廉政專業創新的沈記長能夠點出問題我們還是會看這個收回的情形所以一句話你認為是公務預算補可以還是認為應該要跟
transcript.whisperx[57].start 3104.263
transcript.whisperx[57].end 3129.568
transcript.whisperx[57].text 這個要根據用途事實查明的結果來處理你們的檢調報告 審計報告都出來了他裝修辦公室可能是公務用途公務用途他應該是用裝修漂漂亮亮的辦公室放盆栽或放景觀本來可能 來 沈記長您的辦公室裝修都多少錢我到現在要離開了
transcript.whisperx[58].start 3132.657
transcript.whisperx[58].end 3156.899
transcript.whisperx[58].text 都沒裝修非常好本席在這一件因為我是續任所以我也沒有用我們辦公室裝修費用但是他用了一百多萬裝修一個辦公室合理嗎我們說他這是公務用途嗎我們給他送公務用途嗎我租出有點胡亂我們請有點而已嗎我們已經請送請監察院調查沈議長是
transcript.whisperx[59].start 3161.588
transcript.whisperx[59].end 3189.095
transcript.whisperx[59].text 專業獨立不要閃閃躲躲這是大家對你的期待不閃躲再來請教那個影片拍影片說金額宣傳金額用就業安定基金來做宣傳推廣金額一直增加變成現在三年合計八億元都在做這個就業安定基金拿來拍影片這也是審計報告裡面點出來的問題我們就想問尤其這裡面最貓膩的事情他是使用開口合約
transcript.whisperx[60].start 3191.796
transcript.whisperx[60].end 3209.541
transcript.whisperx[60].text 開口合約相對來講比較緊急的狀況譬如說有可能預期的天災搶休嘛我就明白的請您告訴國人也宣示一下未來各部會機關能夠用基金預算來做開口合約做文宣媒體通路採購嗎
transcript.whisperx[61].start 3210.762
transcript.whisperx[61].end 3211.163
transcript.whisperx[61].text 這一個我們要看
transcript.whisperx[62].start 3228.985
transcript.whisperx[62].end 3232.227
transcript.whisperx[62].text 還要看看什麼要看這個整個採購性質是怎麼樣一般上這一種的應該不必用開口碟應該用搶修搶險當時設計是說災難來了
transcript.whisperx[63].start 3243.566
transcript.whisperx[63].end 3268.734
transcript.whisperx[63].text 趕快 就用開口合約趕快找人把他搶休搶閒是 這個大家都知道所以他們現在濫用開口合約這樣的一個制度所以 本席剛剛的問題再次請教 沈機長我們發現了這個問題未來各部會各基金能不能用開口合約來做媒體文宣通路採購我們會注意這個問題什麼叫你們會注意 能不能啦這個因為是有
transcript.whisperx[64].start 3271.641
transcript.whisperx[64].end 3285.844
transcript.whisperx[64].text 因為這個主管機關是這個採購的主管機關是工程會我在我審計部的立場只能說我會注意他是不是能這樣那你會注意他能不能這樣不能嘛
transcript.whisperx[65].start 3287.156
transcript.whisperx[65].end 3306.733
transcript.whisperx[65].text 原則上因為這個我每個華都有主管機關我不能超越這個機關你們都不行我這要做客觀公正的提名人預算都是人民的納稅錢你今天身為審計把關的單位一句能與不能
transcript.whisperx[66].start 3307.708
transcript.whisperx[66].end 3329.664
transcript.whisperx[66].text 我其實 你講出來 不要以為這個是陷阱給你跳而是你講出來之後 未來各行政機關就是一個宣示這不分藍綠 不分黨派 不分朝野應該是說過去有人有這樣濫用這個機構我們就要告訴他 不能用了原則上沒有特別的理由 我尊重委員的意見是嘛 不行嘛獨立 廉政 專業 創新對
transcript.whisperx[67].start 3332.574
transcript.whisperx[67].end 3359.694
transcript.whisperx[67].text 不要逼本席再一次強調要變成是刻在這應該照理講 刻在你心裡的這個都貼在我們所有的牆壁上所以說不要讓本席失望你的詢答讓國人認為沒有辦法再交給你六年法定義務支出我們剛剛都一直強調是說多給的要收回 對不對那一樣
transcript.whisperx[68].start 3360.938
transcript.whisperx[68].end 3384.16
transcript.whisperx[68].text 應該要給的是不是應該要給法律上要給的就要給非常好法定義務支出一般性補助款算不算法定義務支出一般性補助款在它歸類的時候不管是4至391號4至520號解釋相關的一般性補助款其實就是法定義務支出是吧
transcript.whisperx[69].start 3384.761
transcript.whisperx[69].end 3412.026
transcript.whisperx[69].text 主計總署也好 審計部也好都有這樣子在總預算裡面明白規定總預算案的表件裡面它是列法定義務支出法定義務支出法定義務支出為依相關法令明文規定必須編列的經費即使行政部門無法因為財政困難而予以縮減或是刪除支出 是吧
transcript.whisperx[70].start 3415.031
transcript.whisperx[70].end 3439.486
transcript.whisperx[70].text 因為他還要思考啊 還要辯解啊 沈記長對啦 這個是因為大安已經追加預算把這個問題解決了這不是解不解決問題 我現在問你的是實質的狀況你是沈記長 你站在一個公正的第三方的角度來看本席現在是想請教 一般性補助款是法定義務支出
transcript.whisperx[71].start 3440.643
transcript.whisperx[71].end 3468.537
transcript.whisperx[71].text 那是歸類在法定一出剛剛委員也很認真的看到了大老關的事件如果確定法律一律出出我們應該是中央今天可以說我高興我就把你給拿回來我今天不高興我就不要編中央今天可以扣除地方政府的一般性補助款四分之一然後把責任怪東怪西怪南怪北就是不檢討自己可以這樣子嗎
transcript.whisperx[72].start 3470.113
transcript.whisperx[72].end 3490.742
transcript.whisperx[72].text 這個因為是在大院有給他一個636億的...立法院可以刪除一般性補助款立法院可以刪除法定義務支出嗎歷年來是沒有做過立法院沒有權利刪除法定義務支出憑什麼行政部門可以刪除法定義務支出之後然後推給立法院這是邏輯問題啊
transcript.whisperx[73].start 3492.25
transcript.whisperx[73].end 3517.101
transcript.whisperx[73].text 沈記長這個是應該照預算的編制或者預算的審議應該要照法定義務支出來支出要照法例的規定來執行法定的規定來執行那就是議詞的是法定義務支出不能去刪減另外您剛提到依照法令規定來執行
transcript.whisperx[74].start 3519.649
transcript.whisperx[74].end 3533.516
transcript.whisperx[74].text 軍人待遇條例警察人士條例也在立法院正式三讀通過並且總統已經公告行政院沒有附議那依法行政是不是應該編列預算
transcript.whisperx[75].start 3536.899
transcript.whisperx[75].end 3552.319
transcript.whisperx[75].text 這個法例通過了不要忘記喔 您剛剛上一秒才講說應該要依法例來執選現在法例怎麼規定但是行政院什麼時候編這個預算應該他有他的安排什麼叫行政院什麼時候編這個預算叫因為他預算的編制權法有相關的執行
transcript.whisperx[76].start 3554.381
transcript.whisperx[76].end 3576.682
transcript.whisperx[76].text 施行日期公告了 總統已經公告了在立法院 在行政院 一算的編制權在立行政院 這個是憲法的規定他有權利在行政院 但是依法啊他的權利也是法律給他的權利啊所以他是不是應該要依法行政所以他要把所有的條件 相關的法律條件啊 走完
transcript.whisperx[77].start 3578.008
transcript.whisperx[77].end 3602.062
transcript.whisperx[77].text 他要把相關條件走完 什麼意思就是現在在釋憲 要請釋憲結束之後他才要編釋憲 或者是說 要呼籲這一個不乃是說 還沒有釋憲以前要尊重大案的決議還沒有釋憲以前要尊重立法院的三讀通過法令並且總統公告沒有呼籲的決議
transcript.whisperx[78].start 3603.387
transcript.whisperx[78].end 3631.837
transcript.whisperx[78].text 好 那現在他沒有尊重 他沒有編列完了 他是編住的時機這是違法編住的時機沒有 他現在行政部門就直接講了我們支持中華民國的國軍我們支持警察消防所有人員的辛苦所以我們立法院正式三讀通過了軍人待遇條例以及警察人士條例明年的中央政府總預算送進來一樣超過三兆元但是沒有把這個編列進去
transcript.whisperx[79].start 3633.177
transcript.whisperx[79].end 3641.419
transcript.whisperx[79].text 行政部門講什麼講說現在還要釋憲如果釋憲完之後才要再來補相關的預算那我才請教沈記長預算要怎麼追加
transcript.whisperx[80].start 3643.166
transcript.whisperx[80].end 3668.602
transcript.whisperx[80].text 因為預算還送來 大胭還沒有開始審議所以大胭審議的時候因為預算的審議前我們可不可以依法 論法 就法就是因為這樣子所以說你不要忘記你剛講的應該要依法行政所以大胭在審議預算的時候也可以提出有這樣的一個情形所以現在是行政部門沒有依法行政 是吧
transcript.whisperx[81].start 3670
transcript.whisperx[81].end 3695.47
transcript.whisperx[81].text 這個因為剛剛委員有講到他們可能有一點還在整個行政部門還在整個盤算盤算還可以怎麼盤算這就是現在中華民國政府在民進黨政府主政之下最大的問題所有事情都不依法行政都在盤算都在算計都在想的是怎麼樣對自己的政治利益最好沒有依法行政就是現在最大的問題您可以同意嗎
transcript.whisperx[82].start 3697.455
transcript.whisperx[82].end 3711.953
transcript.whisperx[82].text 這一個我去評論 不同意因為我是審計的 是事後審計的是 就是因為你是審計就是因為我剛剛一直強調你要獨立 廉政 專業 創新所以本席才會依法 論法 就法請教您
transcript.whisperx[83].start 3712.734
transcript.whisperx[83].end 3740.639
transcript.whisperx[83].text 因為你是被提名人所以本席尊重你本席才會希望看到未來你是不是能夠依法行政當人民給你權利要你做獨立廉政專業創新的時候你能不能不懼老虎講出真話而不是現在還要看風向台灣已經被政治耽誤太久了我們要的是依法行政所以現在沒有依法行政的行政部門是不是應該被譴責這整個的流程
transcript.whisperx[84].start 3761.377
transcript.whisperx[84].end 3786.894
transcript.whisperx[84].text 好 謝謝好 謝謝洪孟愷委員的詢問謝謝陳審計長陳審計長請喝口水吧您的水杯你喝完水我們就開始下面一位委員要詢問了
transcript.whisperx[85].start 3792.847
transcript.whisperx[85].end 3818.747
transcript.whisperx[85].text 謝謝接下來我們請陳昭之委員詢問郭國文委請準備謝謝主席有請提名人麻煩再請被提名陳省長陳委員好
transcript.whisperx[86].start 3820.672
transcript.whisperx[86].end 3848.409
transcript.whisperx[86].text 提名人好 我一下就稱呼您 沈記長沈記的職權包括監督機關的預算的執行還有稽查機關人員他們對於財務財政方面是不是有不法或不忠於職務這個行為相對的就是機關的部分當他面對審計人員在執行他的職權的時候他必須詳實回答或提供資料不得隱匿是這樣嗎
transcript.whisperx[87].start 3851.411
transcript.whisperx[87].end 3879.186
transcript.whisperx[87].text 那如果發現機關人員他有不法或不忠於這個他的職務的部分那是不是要報請監察院依法處理那如果涉及刑事責任還要依法送辦對 因為不法就警察委員所談的是對的那麼我在審計部的審計報告當中發現跟台電相關的這個篇幅不少但我必須說很多不法的事情審計部是摸到了邊
transcript.whisperx[88].start 3880.367
transcript.whisperx[88].end 3901.064
transcript.whisperx[88].text 有待深入很多不法的情勢是如此我的意思是說有摸到邊但沒有深入更多不法的情勢台電是很會隱匿的審計部毫無直覺稍後我會跟審計長說明這個部分我們先回到簡報上你看審計報告的截圖報告上面說環團認為台電隱匿了協和電廠突然超標的問題
transcript.whisperx[89].start 3909.531
transcript.whisperx[89].end 3936.223
transcript.whisperx[89].text 那審計部卻只認為台電未來有框起來的地方對廠區污染 土壤污染的情形負有揭露及處理責任審計長 我想要請問你各個行政機關還有國營事業既然是有心想引力你覺得他還會主動他會願意要負起揭露跟處理的責任嗎我們是有通知台電要他改善
transcript.whisperx[90].start 3937.632
transcript.whisperx[90].end 3945.04
transcript.whisperx[90].text 但是也有通知環境部要他處理但是沒有處理的話有逐年上升的現象
transcript.whisperx[91].start 3946.238
transcript.whisperx[91].end 3967.164
transcript.whisperx[91].text 我們還在追查還有更多 沈機長在環評會上台電提供的資料隱匿了協和電廠有土壤污染的嚴重情形但是在多方努力之下在環境部跟基隆市市政府的環保局一同進場查證了好幾個月
transcript.whisperx[92].start 3970.705
transcript.whisperx[92].end 3994.117
transcript.whisperx[92].text 確認 這個是報告書長質土壤污染超過管制標準將被公告為所謂的污染的長質台電終於必須承認必須正式並且整治改善污染狀況這是台電本來就該做的事情但是它內部卻長期一再的隱匿一直到今年這個問題才被正式挖掘 攤開來
transcript.whisperx[93].start 3996.498
transcript.whisperx[93].end 4022.983
transcript.whisperx[93].text 請問沈記長你要不要報請這個監察院依法處理呢這一個我們如果這種現象我們馬上查不是如果啊 有報告啊對 那我們會馬上查核馬上移送 如果有這個事實怎麼馬上 你看到這個報告之後沒有做嗎我們一線作案 這是我們以前今天回去就做了是不是移送監察院好 我們移送監察院這一個如果切事實我們就移送監察院
transcript.whisperx[94].start 4025.584
transcript.whisperx[94].end 4042.736
transcript.whisperx[94].text 今天回去就做了9月9號 沈機長台電發生興達電廠天然氣外洩爆炸氣候案件台電對外說明他說是因為天然氣管線的法蘭街頭磨損造成外洩但是根據前幾天的媒體報導台電內部有吹哨者
transcript.whisperx[95].start 4043.456
transcript.whisperx[95].end 4060.403
transcript.whisperx[95].text 像媒體檢舉說有許多劣質的中國製的法蘭賣到台灣流入中油跟台電恐怕跟這次興達電廠的爆炸事故是有關請問沈記長您開始做調查了嗎已經交代我的同仁去做了
transcript.whisperx[96].start 4060.703
transcript.whisperx[96].end 4075.194
transcript.whisperx[96].text 這件事已經開始調查了因為我們以前也查過很多偽造進口證明或者是用來源不明的貨品我們查過有八、九十件所以我們現在這個我們有經驗
transcript.whisperx[97].start 4076.455
transcript.whisperx[97].end 4092.031
transcript.whisperx[97].text 所以吹哨者很重要吹哨者保護法也非常重要我必須報告沈記長台電的各種更新改建機組工程還有煤炭工程在材料的使用上有很大的問題我質詢過很多次興達電廠只是冰山一角
transcript.whisperx[98].start 4093.032
transcript.whisperx[98].end 4121.454
transcript.whisperx[98].text 有更多的弊端等著審計部去挖掘去年9月台灣民眾黨在立法院召開了一場記者會我們揭發了台電大林電廠他的運煤系統改建工程當中大量使用不合格不符合勞動部這個職安署TS標章認證的防爆管配件這一頁我先請您看一下這個就是台電採購的合約書當中框起來的那一段就是上面寫著這個
transcript.whisperx[99].start 4123.878
transcript.whisperx[99].end 4126.267
transcript.whisperx[99].text 管配件的材質必須是可鍛鑄鐵
transcript.whisperx[100].start 4128.294
transcript.whisperx[100].end 4155.064
transcript.whisperx[100].text 或是鍍鋅鋼但是因為沈機長可斷鑄鐵因為在國際上沒有在生產了可能是環保的因素那台電後來也開會就要求說要使用強度更好的一個叫做球末鑄鐵的材質我想這是對的就是你要的東西是缺貨但是你不能往下把標準降下來尤其這個是防爆管的配件所以事實上要使用球末鑄鐵但結果沈機長你請看
transcript.whisperx[101].start 4157.825
transcript.whisperx[101].end 4179.324
transcript.whisperx[101].text 8月6號 治安署到台大大林電廠抽測檢查的結果發現兩大問題第一個問題是台電的大林電廠他現場裝設了申方 蒙利還有正方三家公司的防爆管的配件都出現材質不合格的狀況你看印章對不對 不合格不合格不合格 你看到不合格
transcript.whisperx[102].start 4181.31
transcript.whisperx[102].end 4198.529
transcript.whisperx[102].text 這張表我給經濟部前部長郭部長看過他無動於衷這個製造廠商名稱都是台電提供給職安署了已經過了一年多這是去年8月6號職安署百般的坦戶到今天沒有開罰
transcript.whisperx[103].start 4200.511
transcript.whisperx[103].end 4221.949
transcript.whisperx[103].text 審計部對於治安署編列的預算他在執行這個防爆器管配件的認證業務但卻沒有辦法確保這個產品是有品質的一致性而且也沒有依法開罰各種堵直行為請問審計部你要不要查送檢查後調查後送檢察院跟移送法班
transcript.whisperx[104].start 4223.255
transcript.whisperx[104].end 4243.726
transcript.whisperx[104].text 這個組安署啊 既然去查了不合格我們有看到我們會依照委員的那個我們會去整個調查調查完如果有委員所講的這些問題我們移送這個是去年我們就開了記者會了這個資料非常清楚我們會移送那個監察案來調查
transcript.whisperx[105].start 4245.782
transcript.whisperx[105].end 4271.538
transcript.whisperx[105].text 那這次的這個抽驗當中還有第二個問題政客公司代理的國際大廠叫Appleton這個叫原型接線盒原型接線盒他有驗出這個同一家公司驗出合格跟不合格的這個兩種結果我在這裡要強調不合格的原型接線盒這個是由政客公司提供這個事情不是我的解讀而是台電說的台電說由這個
transcript.whisperx[106].start 4273.599
transcript.whisperx[106].end 4294.369
transcript.whisperx[106].text 這家公司他所提供的政客公司提供的Appleton的這個原型接線盒有不合格的跟有合格的那請這個陳記長繼續看因為同樣標示Appleton的廠牌原型接線盒那為什麼會有合格又有不合格兩種完全不同的結果呢
transcript.whisperx[107].start 4295.409
transcript.whisperx[107].end 4316.683
transcript.whisperx[107].text 我的直覺是有仿冒品參雜其中所以我的辦公室就進一步去要求台電提供材料查驗申請單結果我發現什麼呢不合格的標記為Appleton的這個廠牌的原型接線口號台電事後承認
transcript.whisperx[108].start 4318.456
transcript.whisperx[108].end 4337.148
transcript.whisperx[108].text 是這個承包商叫做現代樂田他的下包廠商叫做成鋼公司他沒有經過台電的器材檢驗自行從興達漁港工程的餘料剩餘的材料取用然後安裝到煤倉工程上
transcript.whisperx[109].start 4340.624
transcript.whisperx[109].end 4349.11
transcript.whisperx[109].text 到目前為止問題還在這裡台電不只是讓這個不合格的仿製的防爆管配件他仍然裝設在場區
transcript.whisperx[110].start 4351.243
transcript.whisperx[110].end 4369.011
transcript.whisperx[110].text 而且用盡各種方法拖延改善期限更離譜的喔更離譜的喔他在其他的工程例如這次興達電廠他的燃氣工程繼續採購繼續採購這個申芳跟萌玉這個有被檢查出不合格產品的這個廠商啊
transcript.whisperx[111].start 4370.137
transcript.whisperx[111].end 4381.12
transcript.whisperx[111].text 沈記長對於如此妨害危害勞工安全的採購弊端你要不要追查要不要報請監察院依法處理
transcript.whisperx[112].start 4382.028
transcript.whisperx[112].end 4405.448
transcript.whisperx[112].text 第一個我們以前在查台電這畫面的時候也發現他很多廠商用這種類似的來期待結果你怎麼做我們就移送檢查案叫他移送法辦有嗎有結果呢結果他們就相關的那些廠商就被禁止台電讓這個東西繼續放在廠職裡
transcript.whisperx[113].start 4408.43
transcript.whisperx[113].end 4431.835
transcript.whisperx[113].text 這個我們會照委員的意思來處理因為台電很多都是外包廠商所以常常都會 外包廠商不是理由 該負責的就要負責台電就是要負責 我今天舉了很多例子這個當然他要管理好有報告 有資料他當然要做好管理
transcript.whisperx[114].start 4433.541
transcript.whisperx[114].end 4452.199
transcript.whisperx[114].text 好 沈機長我還是要請教你就業安定基金拿去開演唱會 做春聯 紅包袋這個完全不符合他原來的目的的事情當然就被濫用了7224萬剛剛洪委員也提到這些亂花的錢洪部長竟然說要爭取公務預算歸電
transcript.whisperx[115].start 4453.94
transcript.whisperx[115].end 4481.328
transcript.whisperx[115].text 意思就是要拿納稅人的錢來補回來全民買單但是勞動部明年的預算書沒有規定這筆錢所以我今天要向省紀長確認就業安定基金被濫用的部分你們有把它剔除嗎因為如果你剔除的話勞動部部長必須向當初亂花錢的人追討甚至強制執行我現在今天再跟您確認你有把它剔除嗎
transcript.whisperx[116].start 4482.233
transcript.whisperx[116].end 4504.284
transcript.whisperx[116].text 我有把他修正檢列 他要列應收款回來你直接告訴我 你就是剔除嘛這個就是一個名詞跟一個做法嘛你有沒有剔除我有檢列 他要應收回來沈記長 你如果剔除根據審計法你就是要給他期限追繳啊請問這個期限是多久
transcript.whisperx[117].start 4504.904
transcript.whisperx[117].end 4526.727
transcript.whisperx[117].text 我們要他逐項查明已經發生這麼久了我只問你期限多久我只問你期限多久我們一直在追蹤他改善的情形沒有期限喔做外事喔 做到任期結束為止喔那如果你沒有剔除你聽起來我好像沒有剔除喔有修正 有檢列
transcript.whisperx[118].start 4528.072
transcript.whisperx[118].end 4549.491
transcript.whisperx[118].text 你那個檢列跟剔除 檢列是全額檢列嗎剔除是這樣 剔除是很明確這一個是因為舊服務法 舊業服務法他在這個放在舊業服務法 舊業服務法是勞動部的法我要尊重勞動部 勞動部已同意我把他檢列了他說他會直向查明 全額檢列嗎陳記長我覺得這個有點護航耶 這護航勞動部耶不會護航他 不會護航他
transcript.whisperx[119].start 4552.892
transcript.whisperx[119].end 4567.945
transcript.whisperx[119].text 所以結果反正不能讓全民買單嘛對不對他預算書也不敢嘛但是這個錢就要追回來啊他如果委員會自己私用當然我們會如果他沒有追回來我們還是會移送檢查案調查
transcript.whisperx[120].start 4570.154
transcript.whisperx[120].end 4597.156
transcript.whisperx[120].text 沈記長 請問美濃大峽谷市你有在關注嗎美濃大峽谷大峽谷有看到內政部國管署 國土管理署每年編列了五六千萬去運作所謂國土利用的監測整合資訊網它是透過衛星去判讀是不是有因為稻採砂石或是青島廢棄物造成國土有變異的地方這應該是一個科技執法非常有幫助的工具 對嗎對
transcript.whisperx[121].start 4599.238
transcript.whisperx[121].end 4616.073
transcript.whisperx[121].text 那我請問沈機長現在地方政府問題在哪裡呢地方政府取得這個國土變異點資訊之後好戲的執法有很大的問題那為什麼會這樣說沈機長前幾天我和環保團體一起開會國土署出席的同仁
transcript.whisperx[122].start 4617.295
transcript.whisperx[122].end 4630.715
transcript.whisperx[122].text 當天他們說這個系統當這個系統發現國土有變異點他們就把相關資料交給地方政府主管機關去執行例如美濃大峽谷這個案子是2024年初
transcript.whisperx[123].start 4633.058
transcript.whisperx[123].end 4651.615
transcript.whisperx[123].text 一年半前了國土組發現有國土變異的時候就把這些相關資訊給高雄市環保局去執行但事實上卻是今年九月要不是有民意代表去勘查那這件事不會被發掘出來不會被攤出來大家都不會知道所以等於說一整年多從去年到今年
transcript.whisperx[124].start 4652.656
transcript.whisperx[124].end 4654.198
transcript.whisperx[124].text 這個我有請他們去了解的
transcript.whisperx[125].start 4681.539
transcript.whisperx[125].end 4695.917
transcript.whisperx[125].text 有嗎 已經有了嗎 有有進度了嗎這個已經 最近的新聞嘛 他們已經在因為我們一個調查案子啊 都會規劃會整理 會相關的再出動
transcript.whisperx[126].start 4697.789
transcript.whisperx[126].end 4719.966
transcript.whisperx[126].text 審計長你今天答應了我很多事而且這都是你的職責嘛審計部的職責嘛影響國家的財產安全我們都有責任接下來我請教你這個少子化問題這是113年審計部的決算審核報告為了提供優質的生養環境減輕家長負擔政府推出0到2歲社區公共托育計畫但是卻被國發會評為
transcript.whisperx[127].start 4722.108
transcript.whisperx[127].end 4731.677
transcript.whisperx[127].text 高風險紅燈預警計畫為什麼呢因為實現率太差了113年度第三期跟第四期的實現率只有19.28%以及37.23%
transcript.whisperx[128].start 4737.813
transcript.whisperx[128].end 4759.134
transcript.whisperx[128].text 本來預計要522處公共托育設施結果完成400多所但是還有35個鄉鎮市區沒有完全沒有托育機構的規劃實在是慘不忍睹我想請教沈記長上個月8月出生台灣出生的出生跟死亡人口數你有概念嗎
transcript.whisperx[129].start 4760.522
transcript.whisperx[129].end 4767.97
transcript.whisperx[129].text 大概多少一個是書生8464一個是15226這種人口負成長已經連續20多個月了這麼嚴重的國安危機但是對少子化的預算執行率這麼低
transcript.whisperx[130].start 4779.707
transcript.whisperx[130].end 4796.387
transcript.whisperx[130].text 我們根本覺得政府沒有心要解決這個少子化的問題難怪人民無感沒有生育動力沈記長 執行預算這麼低沈記長 有意願但沒有生育大概有兩種狀況想生但養不起
transcript.whisperx[131].start 4797.168
transcript.whisperx[131].end 4813.989
transcript.whisperx[131].text 這是一種一種是想生養得起但有生育上的困難那第一種當然靠國家的政策很多幫忙剛剛我們講脫育政策啦或是一些補助來處理但是第二種的話就必須訴諸醫療了想生養得起但他有困難生育那就是要這個
transcript.whisperx[132].start 4815.39
transcript.whisperx[132].end 4839.395
transcript.whisperx[132].text 利用人工生殖技術來幫助建立他們這個期待的家庭但是沈記長有很多人一直在等待因為衛福部長期行政怠惰讓很多需求的人困在年久未休年久失休的人工生殖法裡面請問沈記長你還記得你來拜訪的時候你有跟我我們談及這個代孕的這件事情嗎你記得嗎
transcript.whisperx[133].start 4845.803
transcript.whisperx[133].end 4860.952
transcript.whisperx[133].text 台湾社会台湾代理育母政策已经超过30年了我记得你先前来拜会的时候是有正向表达支持但今天我还是要跟沈记长确认两件事第一个您是否支持代孕解禁让代孕法治化
transcript.whisperx[134].start 4861.852
transcript.whisperx[134].end 4871.835
transcript.whisperx[134].text 我們少子化是很嚴重所以多元的生小孩包括政府現在花幾萬塊我會把這個整個做一個了解為什麼衛福部把這個案子勾這麼久
transcript.whisperx[135].start 4879.715
transcript.whisperx[135].end 4896.81
transcript.whisperx[135].text 就制度設計因為您當天告訴我是您基本上是支持的那您是否認同應該有相當的明確的限制跟配套當然包括採非營利禁止中間抽成限定使用對象完善身心等評估還有醫療保障孩子的權益等等這些配套
transcript.whisperx[136].start 4898.311
transcript.whisperx[136].end 4919.837
transcript.whisperx[136].text 去年台大醫院政治中心陳美洲主任有講代理一部不應該脫鉤條文已經討論多年要一次解決這個重點是在哪裡焦點不該是贊成或反對而是如何訂定完善的管理配套跟契約規範陳記長行政怠惰的時候他該有的職責的時候
transcript.whisperx[137].start 4921.877
transcript.whisperx[137].end 4948.905
transcript.whisperx[137].text 也是你的責任請問貝蒂明人就是說如果待運立法通過從審計機關的角度你認為在政府的財務支出跟行政監督上要優先注意哪些風險我想藉助你的專業在我們立法的時候這個會期我們會當作優先法案來處理因為做這些事有相當的一些影響那些財務支出跟行政監督
transcript.whisperx[138].start 4950.226
transcript.whisperx[138].end 4958.22
transcript.whisperx[138].text 處理掉我們會對這個案子去查衛福部他做到什麼程度為什麼處處沒有提出
transcript.whisperx[139].start 4959.122
transcript.whisperx[139].end 4985.201
transcript.whisperx[139].text 國安問題少子化這麼嚴重人工生殖法放了十幾年沒有實質的修改行政怠惰也是審計部可以了解的事情啊對 對 對沈記長 我再請問你在野黨有聯署要廢除監察院這是民進黨在野時長期的主張連賴清德總統也說過那如今民進黨也說他們奉陪到底廢除這個監察院那我想請問這個沈記長如果
transcript.whisperx[140].start 4988.559
transcript.whisperx[140].end 5003.972
transcript.whisperx[140].text 監察院被廢除你認為審計權要由誰來行使是要將審計權歸到立法院呢還是另設一個獨立機關我想聽聽您的意見這個國際最高審計機關或者世界各國大部分都獨立行
transcript.whisperx[141].start 5005.819
transcript.whisperx[141].end 5028.777
transcript.whisperx[141].text 有在國會也有但是少數美國就是在國會但是像日本新加坡韓國那個華國通通在都獨立出來所以沈記長已經有思考過這個問題了也了解好謝謝陳昭志委員謝謝沈記長謝謝
transcript.whisperx[142].start 5049.175
transcript.whisperx[142].end 5072.85
transcript.whisperx[142].text 好 接下來我們請郭國文委員詢問賴思寶委員請準備主席有請沈機長麻煩再請被提名人沈機長郭委員好沈機長恭喜
transcript.whisperx[143].start 5074.412
transcript.whisperx[143].end 5099.47
transcript.whisperx[143].text 過去六年來 我知道我們審計部其實在秉持三大功能落實監督 強化洞察 邁向潛戰接下來這六年要朝向智慧審計永續審計 韌性審計跟共振善治這四大面向來完成可是當我們又有新的一個面向要發展之前我們就回顧舊的這一個三大的目標功能有沒有達成
transcript.whisperx[144].start 5100.707
transcript.whisperx[144].end 5125.076
transcript.whisperx[144].text 過去來說的話 基本上整個審計部有提出25項跟29項的關鍵議題報告過去這兩年但是這兩年當中其實延續我過去在地方政府在參考你們地方的審計處的報告當中確實都羅列得非常清楚報告寫得洋洋灑灑但是都有一個習慣就是最後的結語都很溫和
transcript.whisperx[145].start 5126.638
transcript.whisperx[145].end 5134.828
transcript.whisperx[145].text 结局是什么呢 建议改善结局是什么呢 就是通盘检讨感觉上都不痛不痒 隔穴骚痒
transcript.whisperx[146].start 5136.482
transcript.whisperx[146].end 5159.661
transcript.whisperx[146].text 要說又不敢說 點到為止然後就有一種現象最近稍微有一點改變就是本席當初就要你做一個改善所得分配跟低薪的問題專報的時候你就有直指問題的核心譬如講你那時候就提到產算法的部分有關於這一個前提過於嚴格或者學費的補助的時候比較有感 應該持續推動
transcript.whisperx[147].start 5161.328
transcript.whisperx[147].end 5177.885
transcript.whisperx[147].text 本席心目中的這個審計報告當中應該要直指核心根據問題如何解決而不是解釋問題所以說我是覺得你接下來要續任這六年的審計長我除了恭喜之外有更高的期待
transcript.whisperx[148].start 5178.746
transcript.whisperx[148].end 5196.433
transcript.whisperx[148].text 你要如何改變這個文化這非常關鍵啦不要讓人家淪為這個官官相負啊你沈濟波所扮演的角色就是在做一個內部的監督嘛對不對 情長你有沒有辦法改變這樣子溫柔的文化所以要求
transcript.whisperx[149].start 5198.477
transcript.whisperx[149].end 5219.796
transcript.whisperx[149].text 會照委員會意見來做 像首都分配委員很關心我們13年來是查後來行政院就成立了經濟發展委員會他裡面把低薪的問題把一些房價的問題住宅的問題都放進去了那我們說現在住宅整個政府我們看觸及到差不多290萬戶
transcript.whisperx[150].start 5222.979
transcript.whisperx[150].end 5251.045
transcript.whisperx[150].text 對啊 所以這個就政府都有在做沈院長你講的就沒有錯啦當你指出問題核心的時候行政部門的態度就會有所不同嘛這凸顯你的角色重不重要凸顯你的審計報告寫的方式重不重要所以不要再寫那些空洞的隔靴搔癢的 什麼通盤減少什麼要有所改善現在我們都改了就會改 醫藥全部都改 你都改你只有部分改而已 你還改的不夠啦
transcript.whisperx[151].start 5251.685
transcript.whisperx[151].end 5269.11
transcript.whisperx[151].text 更何況小組我們說你那個婚結婚很重要他叫我不立宅你只有那個部分改要繼續改對不對 側大改全面改 重量要跳出來啊你的角色很關鍵沈院長你的角色很關鍵你接下來還要幹6年
transcript.whisperx[152].start 5271.471
transcript.whisperx[152].end 5298.251
transcript.whisperx[152].text 審計部還有什麼問題呢 我跟你講審計部還有輕輕放下 抓小放大我跟你說 你會想審計部啊發現問題之後啊 就送哪裡送監察院嘛 監察院做什麼監察院多數是對機關提出糾正比較少對人去進行懲處 你有沒有發現對人的部分就發放到哪裡發放到各行政機關嘛
transcript.whisperx[153].start 5299.719
transcript.whisperx[153].end 5310.485
transcript.whisperx[153].text 放放到原來選擇單位 他們不處理結果是如何 結果我就用結果讓你來做討論你就看113年 決算審計報告為例1 審計部呈報監察院的案件當中一共250件 結果一送檢調並糾正一件
transcript.whisperx[154].start 5326.769
transcript.whisperx[154].end 5340.66
transcript.whisperx[154].text 另外要求你查明處分的113件你已經要求查明處分了各機關實際處分37件乘除124人而中間記大過了兩個記大過 兩個小過120個申屆高達95%好了 你要求的結果
transcript.whisperx[155].start 5356.086
transcript.whisperx[155].end 5384.239
transcript.whisperx[155].text 就輕輕放下嘛 對不對你高高舉起嘛 輕輕放下你站在一個行政部門的檢察官類似的角色當中你要求要明文查處就是說呢 你求情量刑看求情都很重 但是量刑很低是不是你定罪利太低是不是你有問題 你有沒有思考過這樣的結果有沒有實質上達到什麼具體的改善的可能
transcript.whisperx[156].start 5385.339
transcript.whisperx[156].end 5411.374
transcript.whisperx[156].text 我們和監察院合作是還蠻好的啦一些縱效我送給他的差不多25%有糾正差不多百分也有彈劾這個大概我和監察院的我有去注意到這個問題但是我們發現他有維碼失足我們也有直接送的喔我們送了兩千多件喔但是你要求他們那你以後就直接送就好啦
transcript.whisperx[157].start 5412.875
transcript.whisperx[157].end 5429.727
transcript.whisperx[157].text 那你為什麼要繞一個圈讓他自行去處理我就說直接你自己也看到了從你決算審視報告當中你的比例上我再舉一個例子你112年的時候總決算的時候你提出619項的審計意見到了113年
transcript.whisperx[158].start 5434.812
transcript.whisperx[158].end 5447.199
transcript.whisperx[158].text 總決算的時候這619件當中還有153件他通知他們再次改善怎麼會這樣怎麼會你要求他再處理的
transcript.whisperx[159].start 5449.04
transcript.whisperx[159].end 5469.971
transcript.whisperx[159].text 還有四分之一不處理這不是挑戰你審計部的權威嗎就是代表你的權威性不足嘛對不對你要求的他根本沒有在多大的程度在重視你審計部的意見嘛那你審計部寫這麼多意見是做我們比賽嗎這樣啊 這刑事機關大部分會改但是有的要給他時間
transcript.whisperx[160].start 5471.435
transcript.whisperx[160].end 5488.732
transcript.whisperx[160].text 所以我們也要看在行之淵有的是要立法有的要修改規則所以一連我們查到他修改規則的兩千多件我相信你有一些是需要修改相關的法制但是就這樣的結果你有沒有想過
transcript.whisperx[161].start 5489.926
transcript.whisperx[161].end 5518.865
transcript.whisperx[161].text 如何去改變外在說你高高舉起輕輕放下的這一種常態性的這種狀況你有沒有想說你新任的這個未來的六年的這個省紀長的角色當中有沒有可能改善本席要問你的重點是這個這個我們會照委員的意思來改善好 要做 我看你要怎麼做另外一個部分還有一個部分就是變成是抓小放大跟基層在受罰
transcript.whisperx[162].start 5520.256
transcript.whisperx[162].end 5524.386
transcript.whisperx[162].text 政治責任是誰做的為什麼最後繼承我講具體的意思啊
transcript.whisperx[163].start 5525.305
transcript.whisperx[163].end 5552.947
transcript.whisperx[163].text 譬如講你從這個113年決算比較嚴重的財務上的為師移送監察院跟司法偵辦的類型來看一共幾件 七件中央一件 就是警政署的採購案地方六件 三件文書登載不實涉案的有村長 縣府跟公所人員還有一件是大學的詐領案這不是抓小放大嗎
transcript.whisperx[164].start 5554.573
transcript.whisperx[164].end 5561.109
transcript.whisperx[164].text 就是專門看起來都是小件事情啊你看還有一件雲林我國中荷霄不死都是三七成人員啊
transcript.whisperx[165].start 5562.503
transcript.whisperx[165].end 5587.662
transcript.whisperx[165].text 因為金額都不高啊都是被你地方審計單位移送的啦你移送的就是這些啦我們大一半小一半不能二小我不為什麼大一半小一半所以我現在用數位審計啊那個微標我一查查到兩千多件啊那個刑事處啊那個沒有罰款的有一億六千多萬啊我講的這些
transcript.whisperx[166].start 5589.403
transcript.whisperx[166].end 5606.454
transcript.whisperx[166].text 市長 你剛有講到小的沒有講到大的你未來的數位審計是未來啦我現在跟你談的是現實啊你寫的報告當中我幫你整理出來啦好 照我們會注意就只有抓小放大嘛不會放大我們對大的更會注意
transcript.whisperx[167].start 5610.416
transcript.whisperx[167].end 5638.054
transcript.whisperx[167].text 好 更大會注意好我來看你怎麼注意好不好你說剛剛我現在不諱言我們就說救援基金在來黨一直追打救援基金我就談救援基金的事情就好先容的這個救援基金當中你們當初事情爆發之後你才發現1010 110年到113年有5000多萬跟基金用途的關聯性不大對不對但是呢
transcript.whisperx[168].start 5639.396
transcript.whisperx[168].end 5645.111
transcript.whisperx[168].text 100年到112年的決算審計報告當中你裡頭都沒有提到基金內控失靈的問題啊
transcript.whisperx[169].start 5646.892
transcript.whisperx[169].end 5669.909
transcript.whisperx[169].text 你都沒有提到管理風險的問題啊你就注重這個計畫的執行面的審計而已啊才會導致後面問題越來越大條啊審計功能不彰的結果就會讓問題越來越嚴重啊這裡沒有責任嗎這個就是什麼 沈議長這是本席剛剛跟你討論的抓小放大的結果啦
transcript.whisperx[170].start 5671.184
transcript.whisperx[170].end 5680.867
transcript.whisperx[170].text 怎麼改善 怎麼面對你用規則給人力了這是大小的問題啦不是人力的問題啦這是心態的問題啦你用AI就可以解決這些問題你用AI就可以查到這些問題你不要一直推給
transcript.whisperx[171].start 5698.351
transcript.whisperx[171].end 5726.73
transcript.whisperx[171].text 未來的事情你要先面對過去的錯誤才能考慮到未來的解方這是面對過去的錯誤發現要這樣做這都具體的事情你要怎麼解決這個抓小放大好你剛剛講說什麼你的目標是大一半小一半是不是我們通抓通通大一半小一半只要有部分大小全部都抓我有財務紀律我們都等著看等著看你接下來報告怎麼樣好 那你就查一件你查一件給本席看好
transcript.whisperx[172].start 5728.359
transcript.whisperx[172].end 5738.045
transcript.whisperx[172].text 我給你看一件本席 雷聲大雨點小審計部真的是作文比賽這個作文題目是什麼 台中大理垃圾山
transcript.whisperx[173].start 5742.921
transcript.whisperx[173].end 5764.195
transcript.whisperx[173].text 34萬噸的垃圾它需要17年才可以清理完成7月份台中審計處的時候已經介入事業費不減反增清潔隊弊案連連你去發現問題 你要追查到底你就這個例子 你去查百億的大弊案焚化爐經費從31億增加到85億
transcript.whisperx[174].start 5768.854
transcript.whisperx[174].end 5790.99
transcript.whisperx[174].text 你17年要花多少錢要花37億才能清運這個垃圾山你們也查到問題喔你們不是沒有查喔你有查到問題喔一 預算暴增50幾億審計部寫的二 清潔對難上百次偏離路線違法收運事業費器物
transcript.whisperx[175].start 5795.322
transcript.whisperx[175].end 5815.518
transcript.whisperx[175].text 還有三 市府把一般垃圾丟大裡卻用低於價格幫廠商燒事業廢棄物 圖利數千萬這問題你有沒有發現 還不少這問題是不是你們寫的這是我們台中審計處查的台中寫的當你們發現問題的時候你們發現問題 你知道你台中怎麼寫嗎
transcript.whisperx[176].start 5822.113
transcript.whisperx[176].end 5839.656
transcript.whisperx[176].text 你怎麼寫 問題也不少耶你們最後想說 你們也覺得看起來內情不太單純但最後你們叫什麼叫台中市政府檢討叫台中市政府檢討而已耶欸 沈議長 百億耶這事情是大條還是小條 我就問你嘛
transcript.whisperx[177].start 5841.155
transcript.whisperx[177].end 5867.521
transcript.whisperx[177].text 你這個AI查到了你們心態是這麼講嘛你用AI可以解決這個問題嗎台中市的垃圾是有一點隱憂啦你用AI可以解決這個問題你剛剛不是說用AI要處理嗎你的AI審計可以處理這個問題嗎你這個沒有AI你都查到了啊你查到結果你叫市政府檢討100億的幣啊你用市政府檢討這AI可以解決的嗎 審計長我請問你這個是用人工查的用科技用人工查的什麼
transcript.whisperx[178].start 5868.521
transcript.whisperx[178].end 5894.515
transcript.whisperx[178].text 這不是用AI查的不是用AI查的 用人工就查了啊可是那最後寫的是叫你市政府檢討而已啊這一番啦 他一定要檢討啦那要檢討 那知道這個案子怎麼樣嗎我們看到問題 一定先找機關說你要趕快解決喔對啊 你就是這樣子而已啊那你不是可以直接移送嗎然後你再看看 最後的結果是怎樣幾位清潔人員被判刑
transcript.whisperx[179].start 5896.152
transcript.whisperx[179].end 5918.626
transcript.whisperx[179].text 台市這麼大條 整百億的弊案發生在台中期發生在這噴色沙 結果你叫人檢討而已社會到高台會過 你心機不好你在做行刑內部監督這個案子累積了多少年從35億變85億 足足增加50幾億 共要300多億
transcript.whisperx[180].start 5921.909
transcript.whisperx[180].end 5949.334
transcript.whisperx[180].text 花十七年的時間才能清允的垃圾山要再花工廠三十七億組長你不覺得這個案子大不大我問你嘛你後續要怎麼處理嘛這麼大的案子你要一個建樹建林啦你要直接找檢調 找廉政署查清楚寫那麼多報告有什麼用問題你都發現啊怎麼解決這不是高高舉起輕輕放下就是廉政大於廉小嘛 對不對
transcript.whisperx[181].start 5950.489
transcript.whisperx[181].end 5979.944
transcript.whisperx[181].text 未來六年你是個角色我們會注意我們會注意這樣的一個事情再檢討一次嗎好好檢討 再檢討 繼續檢討有什麼特別的處理方式嘛 你就講啊我們還要整個了解因為這是在台中市審計處的報告寫那麼久了 你還要進行了解你要怎麼處理嘛 你現在想嘛你要怎麼處理嘛 怎麼了解
transcript.whisperx[182].start 5981.565
transcript.whisperx[182].end 6008.094
transcript.whisperx[182].text 了解有什麼用 了解問題有什麼用要解決問題才有用啊你就是過去一直停留在了解的階段問題才會越來越大啦 沈議長這個公開打你們臉欸你審計完全沒有發揮效果 你知道嗎好 看地方出現這麼多問題沈議長 我再講給你聽最近的財政收支法 新法的財政收支法接下來是考驗審計部跟地方的審計人員怎麼說
transcript.whisperx[183].start 6010.626
transcript.whisperx[183].end 6029.847
transcript.whisperx[183].text 你想 我們現在的財政收支劃分法通過新的版本之後按照目前的狀況 我先講給你聽你現在查到很多的地方問題地方的執行能力就出現了一個很大的問題我舉一個例子 113年的時候地方的這個決算剩餘款是716億
transcript.whisperx[184].start 6032.304
transcript.whisperx[184].end 6041.072
transcript.whisperx[184].text 但是實質上 地方當初的政府預算短差是553億 簡單的講這一來一回當中就有1269億 這1269億沒有辦法去執行這是第一個問題 因為你人員不變就這樣子 1269億 到接下來
transcript.whisperx[185].start 6057.782
transcript.whisperx[185].end 6085.293
transcript.whisperx[185].text 整個財政收支發放法之後呢地方上會多拿多少多拿4165億啦你看這4165億再加上1269億它以前短差553億都沒有辦法執行喔有那麼多錢都沒有辦法執行的情況底下人員不變的情況底下又多了4160多億你的角色就是避免浪費公帑啊你的角色就是匡正財政機率啊對不對
transcript.whisperx[186].start 6086.66
transcript.whisperx[186].end 6099.029
transcript.whisperx[186].text 這是不是挑戰來了這整個問題是垂直分配出問題水平分配又出問題的情況底下以後地方政府有錢有錢的要死 窮窮的要命
transcript.whisperx[187].start 6102.086
transcript.whisperx[187].end 6123.192
transcript.whisperx[187].text 沈議長 你有沒有想過這個問題接下來要怎麼辦 怎麼面對這一個行政院已經在邀集各地方政府來行政院的事情 我在問你的事情如果行政院沒有修法的話怎麼辦你不要推給行政院剛剛講的有一些分配不出去財政部有這樣的一個說明
transcript.whisperx[188].start 6124.392
transcript.whisperx[188].end 6151.901
transcript.whisperx[188].text 對整個的我們的財政的效益是有損失的你不要再跟我繞圈子了我知道你在跑運動圈我不想追你了目前的編制 預算的規模中央跟地方的市權都沒有調整是多了四一六五億以後市權如果再下放的話你這麼多人員沒有增加的話我看你怎麼執行你後來就會變成什麼你知道嗎 我跟你預言
transcript.whisperx[189].start 6152.745
transcript.whisperx[189].end 6163.866
transcript.whisperx[189].text 就發紅包啦 大傻逼啦這種是最直接了當的啦這也最有可能浪費公帑啦沈議長 本席提醒你啦你到底有沒有去面對這個問題你到底有沒有想過這個問題我現在就要問你這個問題啦
transcript.whisperx[190].start 6165.905
transcript.whisperx[190].end 6172.692
transcript.whisperx[190].text 我是希望你提早預知可能在既有體制下的問題但是你可能是相對的角色你要怎麼面對這可能衍生出來問題審計人員要如何增加人量
transcript.whisperx[191].start 6191.169
transcript.whisperx[191].end 6214.849
transcript.whisperx[191].text 你了解我意思嗎 所以我再跟你提醒一點相對是這種問題的話 你要去思考本席提醒你 問你的問題就是要去思考未來的六年的省計長有不一樣的角色要面臨挑戰但是你要面臨未來六年之前 你要思考以前的六年以前的六年的地方預算 你要自己好好的思考如何去進行一個總檢討
transcript.whisperx[192].start 6216.492
transcript.whisperx[192].end 6234.885
transcript.whisperx[192].text 還有你要去思考新版的財法法可能帶來的什麼樣的衝擊那我希望你在這個情況底下站在你審計單位當中來思考這個財政收支法可能造成的衝擊你要寫一份專案報告有沒有可能 沈院長有
transcript.whisperx[193].start 6236.545
transcript.whisperx[193].end 6261.741
transcript.whisperx[193].text 可以用這份報告來思考過去六年到底地方政府的財政或中央政府財政你也可以寫啦到底出了什麼樣的問題啦這一部新版的財政收支發問法之後可能在體制上出什麼問題而你的審計部的角色地方審計處人員的角色要怎麼因應你應該要提早有所因應那這個報告你什麼時候寫給本席兩個月
transcript.whisperx[194].start 6266.736
transcript.whisperx[194].end 6280.267
transcript.whisperx[194].text 你如果提早寫出來的話有助於大家離去共識啦可以嗎可以45天可以嗎45天 好好 謝謝好 謝謝郭國文委員的詢問也謝謝備題名人陳神記長
transcript.whisperx[195].start 6291.351
transcript.whisperx[195].end 6293.613
transcript.whisperx[195].text 謝謝主席韓院長以及各位先進有請我們沈記長請沈記長
transcript.whisperx[196].start 6323.835
transcript.whisperx[196].end 6348.494
transcript.whisperx[196].text 委員好 審計長你好我還是稱你審計長因為你現任就是審計長因為你在審計部的報告裡面有廠長去找出來現在政府施政的一些問題所以執政黨立委對你非常不友善
transcript.whisperx[197].start 6349.679
transcript.whisperx[197].end 6376.136
transcript.whisperx[197].text 所以你被提名了 續任了老實講 英文叫做To my surprise我有一點詫異你自己感覺怎麼樣賴總統在提名你的時候你心裡是什麼心理我因為想休息了所以沒有續任的打算
transcript.whisperx[198].start 6377.09
transcript.whisperx[198].end 6402.682
transcript.whisperx[198].text 原來沒有許願打算因為有替國家做一點事情已滿足所以是有點驚喜深感還是有責任但是在審計部他有他審計的價值他可以為國家為人民做一點事所以你是驚喜
transcript.whisperx[199].start 6405.616
transcript.whisperx[199].end 6432.283
transcript.whisperx[199].text 驚喜不夠於不一定就很難形容驚訝不太像驚訝也不太說歡喜就是好像責任還沒有那個擔子還沒有卸下來我是有點驚訝因為在譬如說疫苗的事情 雞蛋的事情你們的單位很敢提出一些數字很好
transcript.whisperx[200].start 6435.367
transcript.whisperx[200].end 6461.892
transcript.whisperx[200].text 但是後來也沒有很驚訝因為你也是高高舉舉輕輕放下你的用事請辭也都是四平八穩也不太敢去得罪黨黨變成這樣了我們來看喔我們來看比如說最大條的事情最該你應該去auditing的就是卓榮泰院長他怎麼可以不依法行政
transcript.whisperx[201].start 6463.28
transcript.whisperx[201].end 6489.567
transcript.whisperx[201].text 立法院我們韓院長這麼辛苦在主持垂直一敲三讀通過的法案他為什麼可以不編預算去年的總預算已經這樣編了已經這樣編了 禁法補償不列今年警察人員的待遇條例警校的一個他的退休的提高特別是軍人
transcript.whisperx[202].start 6492.025
transcript.whisperx[202].end 6501.693
transcript.whisperx[202].text 每個月多三萬塊的經營條例他不變審計部就應該講話啦這個還在立法院的預算審議前請問你 你有沒有事情審議
transcript.whisperx[203].start 6508.922
transcript.whisperx[203].end 6537.38
transcript.whisperx[203].text 我們沒有事前審議的失蹤審議沒有失蹤審議因為這個還在還沒有經過大案通過大案通過我們以後有會議警會那個這個還在大案的 這個是尊重大案的審議前我就問你 今年的預算114年他不按照不依法編列進場補償進場補償 你要怎麼辦這個部分 已經事後了
transcript.whisperx[204].start 6538.751
transcript.whisperx[204].end 6562.267
transcript.whisperx[204].text 這個部分 大院有意見 他已經追加預算了追加預算 把你砍掉以後再追加 還是砍掉啦他好像追加預算有進化補償喔對不對 還是砍掉啦所以我的意思是說 你都沒有角色啊我不能跳來最前面 因為這個是憲法體制所以是什麼 這個叫做違法
transcript.whisperx[205].start 6563.833
transcript.whisperx[205].end 6587.313
transcript.whisperx[205].text 違背憲法 違背預算法這個是立法案編 行政院在編的時候可能要稍微注意到這個法律上的一個規定啦不然我老實請問你嘛 他這樣編有沒有違反預算法預算法寫得很清楚嗎 三組通過的法案你就要編預算了他是行政院怎麼思考的 我不太了解
transcript.whisperx[206].start 6588.201
transcript.whisperx[206].end 6611.757
transcript.whisperx[206].text 對嘛 所以就你會被提名這些事情你就很體貼嘛 表面上說歐法的手藝這樣噴 你說歐法的手藝 咿咿咿你會做人 老實講是這樣啦齁 這個東西 唉唷 你一看那個數字 喔 這個執政黨的立委覺得你沒那麼細喔執政黨的立委跟你沒那麼細 在野黨的立委就會疼惜你這不是你厲害的地方咧
transcript.whisperx[207].start 6615.019
transcript.whisperx[207].end 6632.243
transcript.whisperx[207].text 這個我們都是依法行政依照我的主責來做任何事情行政院亂砍終結預算 北截預算北截預算砍了650億 終結砍了96%這個東西你要不要升級一下
transcript.whisperx[208].start 6639.468
transcript.whisperx[208].end 6661.996
transcript.whisperx[208].text 這個還在他那個補助款還沒有補助辦法還沒有送到大安備查大安要不要備查 大安備查以後我們就會注意這個事情我們來看現在我們都知道中央政府給地方的錢三部分
transcript.whisperx[209].start 6663.106
transcript.whisperx[209].end 6675.494
transcript.whisperx[209].text 第一大部分就是統籌分配支付款第二 一般補助款第三 計劃型補助款請問你一般補助款是不是法定義務是不是
transcript.whisperx[210].start 6676.88
transcript.whisperx[210].end 6703.039
transcript.whisperx[210].text 是不是你告訴我在總預算案裡面是列為在那個法定支出的表裡面是列一般性的它是法定義務支出喔它有這樣列 那個憲法也有稍微現在一直講說財化法有什麼窮者越窮富者越富這個叫因為你把這三個加起來才能算 我們就算一個東西來我們來看下一頁
transcript.whisperx[211].start 6704.616
transcript.whisperx[211].end 6727.612
transcript.whisperx[211].text 我把這三個東西算進來台北市 台北市最多錢多了450億台北市112年度把這個全部加進來 補助的收入加進來全部加進來 台北市第三名113年第4名 114年第5名台北市那裡有最多
transcript.whisperx[212].start 6729.155
transcript.whisperx[212].end 6750.449
transcript.whisperx[212].text 你要一起看啦你不能見數不見齡你不能只看所謂統籌分別稅款還有一般補助款還有計畫性補助款這個所以喔這個錢喔 老實講執政黨不必在那裡說裝窮啊根本手上都在執政黨手上因為台下就很清楚啊左手給你錢 右手把錢拿回來
transcript.whisperx[213].start 6752.944
transcript.whisperx[213].end 6774.933
transcript.whisperx[213].text 所以這個觀念那個集錢的觀念錢都放在中央的口袋修修都不變到現在為止都不變這個事情老實講讓這個整個來講就這樣這個這只是才化法修法只有離島一小部分然後行政院
transcript.whisperx[214].start 6777.395
transcript.whisperx[214].end 6792.761
transcript.whisperx[214].text 小題大作 魚目混珠 混水摸魚所以要重新來修這個長髮你知道要怎麼去嗎這個 老實講這個你應該記錄你們審計部都沒有小事你就看立法院的行政在那裡你都沒有小事 你都不講話
transcript.whisperx[215].start 6797.622
transcript.whisperx[215].end 6824.898
transcript.whisperx[215].text 這個財化法是要中央要謀全國經濟平衡發展啊餅就這麼大所以中央啊地方要做下來大家好好的把做到大家都能夠兼顧到每一個縣市每一個啊你的角色勒你的角色勒請問審計部的角色勒因為這個還在我都在講這個都一些法律規定都還在大院的身上
transcript.whisperx[216].start 6826.775
transcript.whisperx[216].end 6855.674
transcript.whisperx[216].text 什麼意思我聽不懂就是說補助辦法好像送到他在行政院好像有送來大院來看因為要經過大院被查他現在就這樣子所以逼著我我已經提案了補助辦法現在行政院命令我們要提高位階叫補助條例變成法律案好的你的補助就一定依法不可以隨便補助現在就是完全是中央政府高興的多給你一點不高興的少給你一點
transcript.whisperx[217].start 6857.233
transcript.whisperx[217].end 6882.249
transcript.whisperx[217].text 看顏色在補助的中央有他全國移住的事情像國防、外交、珠珊、黃紅這些中央也有他要做的事情我們原來是中央地方的錢的分配75對25現在財務法通過以後按照行政院的編法只剩66但是我們目標希望60
transcript.whisperx[218].start 6883.69
transcript.whisperx[218].end 6900.842
transcript.whisperx[218].text 中央應該變60不是66所以中央還只想抓在手上還有抓補助款所以說起來中央是很有錢的所以錢和市要稍微大家談一下中央和地方談一下錢跟市要一起
transcript.whisperx[219].start 6901.983
transcript.whisperx[219].end 6926.704
transcript.whisperx[219].text 是錢給地方 事情給地方 這個沒有人反對但是你不能夠說因為我錢給你的 我一般補助還不夠回來不可以這樣子啦因為我們地方住也執行很久了所以大概大家可以接下來談一下那個沈機長你沒有聽出我的我的重點在於你什麼都敢申請你對行政院不申請
transcript.whisperx[220].start 6927.808
transcript.whisperx[220].end 6955.579
transcript.whisperx[220].text 行政院 這個你答應我是根據答案通過的法例根據答案通過的決議我來做答案通過的預算我來做監督預算執行我是根據答案的一些你告訴我你針對行政院做過哪一次的審計去批評他哪一件你告訴我一件就好 一件行政院一件
transcript.whisperx[221].start 6956.394
transcript.whisperx[221].end 6976.888
transcript.whisperx[221].text 他的那個正義先導我有通知他說那個行政院正義先導還有什麼這個我跟你講因為行政院的金額不大我要抓的時候是看有時候金額很大他那個我是用電腦在跑如果違反規定我們會教他我要跟你講的是114年的總預算
transcript.whisperx[222].start 6985.007
transcript.whisperx[222].end 7013.264
transcript.whisperx[222].text 鬧的這個樣子他不議法編列我們退回我現在就跟你預告他如果就這樣送過來沒有編軍人的三萬塊的加薪的兩百多億我們一樣退回故事重演故事重演沒有這個時候114年已經遠過了你就要審計我重點一直在放在這個地方就是大的事情這麼大的事情你跟我講文學會那個很小的事情大的事情
transcript.whisperx[223].start 7014.909
transcript.whisperx[223].end 7042.827
transcript.whisperx[223].text 他不依法編列已經發生過一年了去年後來他追加預算這時候你要介入你都沒有介入你不敢介入最後我們審計不介入在行政院在行政院或者立法院還在處理的過程中這個我們都尊重行政院的預算編注錢還有尊重大案的審議權請問你會期待六年以後
transcript.whisperx[224].start 7044.799
transcript.whisperx[224].end 7051.531
transcript.whisperx[224].text 總統在提名你當升級長嗎我就大概沒有這種期待沒有這種期待沒有這種期待你就放膽
transcript.whisperx[225].start 7053.598
transcript.whisperx[225].end 7079.987
transcript.whisperx[225].text 我跟你講N次了 省區長這支大刀你從我上一次提名的時候你就這樣講 一直督促我你督促我 建議我很多總結一下那個查核平台就是你建議的現在效果很好耶 20幾萬人這個謝謝啦 我的建議都聽了但是我要說這支刀要去撲
transcript.whisperx[226].start 7081.247
transcript.whisperx[226].end 7101.286
transcript.whisperx[226].text 行政院長你怎麼講啊我變了啦 做任何事情還是順眾還是依法行政好啦 來 我就講審計部啊 我在看下一頁你真的為什麼我們這麼多委員會想支持你啊你老公做人咧我講什麼你都說好啊好啊然後你都留一手
transcript.whisperx[227].start 7102.415
transcript.whisperx[227].end 7126.898
transcript.whisperx[227].text 你都留一手 留一手什麼 你做好人比如說 就業安定基金7000多億喔7200多億嘛7000多萬了對不起 7000多萬這個 你呢 只有減劣收回為什麼不剔除 不一樣喔減劣跟剔除不一樣喔你減劣 所以他今天又變成2億回來啦
transcript.whisperx[228].start 7127.975
transcript.whisperx[228].end 7155.322
transcript.whisperx[228].text 七千多萬變成了 欸 納稅人的錢讓那個許民春開演唱會讓謝宜龍去一間酒店睡睡睡這些錢都是老百姓買單結果你把他什麼 把他檢列 你看 我有做喔 咱那時候說嗯 不錯 咱那時候說啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵啵
transcript.whisperx[229].start 7156.357
transcript.whisperx[229].end 7182.267
transcript.whisperx[229].text 我檢列 我六年來檢列一千四百多億目前已經繳扣了兩三百億你檢列有些要剔除 這個要剔除這個用在私人的身上那個法院在做判決 那個已經送書法了也送檢查了 這個部分我們都做了
transcript.whisperx[230].start 7184.188
transcript.whisperx[230].end 7202.51
transcript.whisperx[230].text 我們也在看 要求勞動部好好的查明這個到底在你勞動部是屬於你我問你 你又回答問題了你為什麼不敢用剔除因為剔除啊 剔除要很明確但是這個救護罰 明確嗎許明春開演唱會不明確嗎
transcript.whisperx[231].start 7204.599
transcript.whisperx[231].end 7233.411
transcript.whisperx[231].text 他這個救護法他是用勞工性平他是有關這樣的一個情形所以這個救護法我們用就業服務法請勞動部查明這個我們已經進到勞動部我們問了他一下他今年沒有編那麼多沒有編沒有編要補回去他還在查編兩億補回去沒有
transcript.whisperx[232].start 7234.409
transcript.whisperx[232].end 7240.245
transcript.whisperx[232].text 沒有 所以委員剛剛講的那個勞動部給我給我們的收名那這筆錢被我花掉了七千多萬怎麼辦
transcript.whisperx[233].start 7243.62
transcript.whisperx[233].end 7265.967
transcript.whisperx[233].text 他要好好查明以後 如果公務的如果是公務的 要經過行政院編列 答應審理通過如果是適用的法官會判 他末日所得那末日所得 那個勞動部要去領回啊 要去請求啊法院判是根據你
transcript.whisperx[234].start 7267.202
transcript.whisperx[234].end 7291.572
transcript.whisperx[234].text 如果你直接給他剔除法院判就不一樣了他就要求他賠你因為沒有經過法院判決我們做任何事情依法行政還要很明確的一些規定你用錢類不用剔除就是老祖國我們大部分就是因為不跟你扯這個來人員政策我也要講這個
transcript.whisperx[235].start 7293.895
transcript.whisperx[235].end 7305.685
transcript.whisperx[235].text 這個你幾乎也不敢批評錯誤的人權政策你也不敢批評來 我們看離岸風電都要發展因為我們要求local content
transcript.whisperx[236].start 7306.966
transcript.whisperx[236].end 7332.6
transcript.whisperx[236].text 國產的要自製要多少30%過去有要求所以我們賺夠的電價超過國際4.3塊一度4.3塊20年來我們台電增加的購電成本9100億光電大家都知道光電等於另外一個字四個字叫官商勾結光電的成本平均高於國際一度3塊錢我們現在來看
transcript.whisperx[237].start 7337.113
transcript.whisperx[237].end 7357.762
transcript.whisperx[237].text 光電跟風電加起來也幾個%而已啊為什麼不用便宜的而且這麼貴現在備轉容量最近這幾天備轉容量只有3.8%到曲燈 曲燈下來就是紅燈紅燈下來就黑燈就不燈了這麼嚴重的事情我們沒有看到你省下一步
transcript.whisperx[238].start 7358.642
transcript.whisperx[238].end 7366.945
transcript.whisperx[238].text 這件事情 你們稍稍審計一下我們有審計你要這樣的話離岸風電我們有處理過有一些蓋在那個飛行服務區的我們說這不行 這影響飛安
transcript.whisperx[239].start 7374.308
transcript.whisperx[239].end 7390.582
transcript.whisperx[239].text 他要處理掉光電我們查到那個彰化那個是有一點一點差不多要到我們也要他移送夥伴那個台南的那個光電我們也有查所以大概如果我們發現我們損失發現我們一定作為
transcript.whisperx[240].start 7393.524
transcript.whisperx[240].end 7407.675
transcript.whisperx[240].text 我現在是跟你講這個是我跟你我一直在強調的就是你現在都在比較技術面去認真你們的人去認真很好可以但是大方向你不敢碰你對行政院不敢碰
transcript.whisperx[241].start 7408.925
transcript.whisperx[241].end 7431.463
transcript.whisperx[241].text 我就告訴你 我現在對你的期待因為你幾可能會過的你幾可能會過的那我就對你期待你應該不必想未來的六年你這次六年已經surprise了所以請你那個大刀準備向行政院 運動部的一些的政策
transcript.whisperx[242].start 7432.33
transcript.whisperx[242].end 7459.54
transcript.whisperx[242].text 人員政策是錯的人員政策是錯的你都不敢批評你連講都不敢講我們有提過很多意見你沒有提過像現在台電的備載容量不夠備載容量有問題他的備用容量有問題我們通通都請他要注意你有沒有講過他的人員政策錯誤有沒有講這句話
transcript.whisperx[243].start 7461.294
transcript.whisperx[243].end 7476.656
transcript.whisperx[243].text 沒有啊那個能源政策 那是政策政策我們要尊重你的前一任的審計長林青龍因為我行政院一般審計部沒有到那個我是根據政策來審計
transcript.whisperx[244].start 7479.684
transcript.whisperx[244].end 7502.2
transcript.whisperx[244].text 我跟你講 你的前一任審計長叫林慶榮他就敢講 你就不敢講這也是你會做官的地方最後一項 你有時間不多了你知道我們現在對美關稅談判軍售商售 你知道吧我們現在第一個我們有200億美金的錢都付了東西都沒有來你要不要吹一下
transcript.whisperx[245].start 7502.813
transcript.whisperx[245].end 7528.12
transcript.whisperx[245].text 有 這我們查過了是三千多億有一些萬了我們有的先互去的他要做實踐我們刪掉他第二個 我現在時間已經到了能不能要求我們的盡量要改為商售因為算在貿易逆差裡面有利於關稅談判可不可以這個是很大的事情可能要好好的國安部好好檢討
transcript.whisperx[246].start 7537.909
transcript.whisperx[246].end 7548.881
transcript.whisperx[246].text 好 谢谢赖世宝委员的询问也谢谢被提名人陈神机长谢谢我们现在休息十分钟之后中嘉宾委员请准备询问现在休息
transcript.whisperx[247].start 8133.342
transcript.whisperx[247].end 8142.29
transcript.whisperx[247].text 好 報告全院委員會我們現在繼續開會進行委員的詢問接下來我們請宗嘉斌委員詢問林德福委員請準備
transcript.whisperx[248].start 8156.363
transcript.whisperx[248].end 8178.055
transcript.whisperx[248].text 好 主席在場委員先進列席的政務機關所長官員 會長 工作夥伴媒體集團女士先生有請我們陳審計長被提名麻煩再請被提名的陳審計長總委好審計長好稱呼您審計長因為您現在就是審計長對不對對審計長
transcript.whisperx[249].start 8180.598
transcript.whisperx[249].end 8207.452
transcript.whisperx[249].text 過去你有沒有聽過 時代在變 環境在變 潮流在變有沒有聽過這句話有誰說的誰說的我倒不知道我知道現在極端氣候讓整個都變了連總統蔣經國先生說的蔣經國先生說的但是通常人家會說 有所變 有所不變請問一下 將近四年前我們的省紀長被提名的人有沒有改變沒有嗎 還是你嘛對不對 那我們來看一下
transcript.whisperx[250].start 8208.154
transcript.whisperx[250].end 8225.597
transcript.whisperx[250].text 那如果人選沒有改變我們看審計法有沒有改變有財務審計有績效審計是不是跟以前一樣如果說人沒有改變法律的制度沒有改變那是什麼改變我們審計今天要重新來對您的
transcript.whisperx[251].start 8226.434
transcript.whisperx[251].end 8250.44
transcript.whisperx[251].text 任命進行同意權的行使我們不禁要問要問有改變的地方對不對對人家說財政是恕政之母你同意嗎同意好那麼因此就你審計的角度來講審計部的權責審計長的最重要的功能就是對於財政來進行審計政府的財政政府的預算政府的財政擁擠政府的財政當是現在人來看
transcript.whisperx[252].start 8253.959
transcript.whisperx[252].end 8279.278
transcript.whisperx[252].text 新版的財劃法它是我們最主要的改變對不對變化可能會很大今年變化還蠻大的那你對財劃法了解嗎有所了解我們財劃法分成統籌分配稅款對不對一般型補助計劃型補助是不是這樣子那麼新版的財劃法它有哪些改變是不是在中央跟地方我先問你統籌分配稅是哪三個稅
transcript.whisperx[253].start 8284.198
transcript.whisperx[253].end 8304.363
transcript.whisperx[253].text 所得稅、營業稅、貨物稅有沒有改變?沒有改變嗎?改變的是中央分配給地方的%就更多了嘛所以地方得到統籌分配就增加了嘛那請問中央跟地方的垂直分配改變了但是地方的水平分配根據什麼來分配?
transcript.whisperx[254].start 8305.416
transcript.whisperx[254].end 8329.953
transcript.whisperx[254].text 根據本來財劃法是應該要跟財政貢獻度嘛新法是這樣但是要法的主要立場是在基本國策沒有錯但是基本上因為這三種稅六都跟非都來看是不是他們的財政貢獻度六都比非六都來的大
transcript.whisperx[255].start 8330.543
transcript.whisperx[255].end 8358.223
transcript.whisperx[255].text 因為營業稅啊 所得稅啊 貨物稅啊你人多 錢就多 稅就多分配回去也是更多結果這麼一來我們將中央給地方的統統分配增加之後有沒有改善地方水平分配的貧富不均這個可能要好好坐下來談因為呢 規模擴大但是分配的公式以貢獻度來看只是把貧富的差距拉大而已我們再往下看那麼一般性補助款用在哪裡
transcript.whisperx[256].start 8360.592
transcript.whisperx[256].end 8383.102
transcript.whisperx[256].text 一般是補助團在調制財政營息包括了教育 社福 基本設施還有其他的基本支出對不對經常性 普遍性 基本建設還有維運的性質對不對但是很重要的要能財政均衡 請問一下100公斤的人跟50公斤的人誰的飯量比較大
transcript.whisperx[257].start 8385.192
transcript.whisperx[257].end 8400.366
transcript.whisperx[257].text 100公斤所以六都來講他人口多他的基本需求多所以他獲得分配的一般補助一定比其他人口較少的縣市非六都來的多對不對但是中央怎麼樣均衡中央只有用財力的分配
transcript.whisperx[258].start 8401.474
transcript.whisperx[258].end 8420.509
transcript.whisperx[258].text 中央對你地方需求多的我要給你多你需求較少的就給的少頂多是A六都的財力比較不足我給你的比例比較高可以給到九成如果是六都的你的財力比較好雖然你的需求大我給你的比例就沒有達到九成比較少可能七成是不是這樣
transcript.whisperx[259].start 8421.65
transcript.whisperx[259].end 8445.925
transcript.whisperx[259].text 但是中央政府只能在一般性補助款透過這樣的小小的方式去調節但基本上一般性補助還是根據你六都跟非都的人口規模來設算所以六都當然一般性補助領的多非都的領的少 是不是這樣那我們來看最後還剩一個叫計劃型補助如果照這樣子負者橫負
transcript.whisperx[260].start 8446.914
transcript.whisperx[260].end 8463.467
transcript.whisperx[260].text 平者欲平那我們怎麼樣去改變這些經濟發展甚至人口較少的非都怎麼提升提升他的財政的貢獻能力我們常說受人以魚不如受人以魚給你一尾魚不如給你一根釣竿你同意吧
transcript.whisperx[261].start 8464.187
transcript.whisperx[261].end 8479.944
transcript.whisperx[261].text 所以計劃型補助是不是說如果你這些財政能力較差的縣市你提出好的計劃型那我中央給你幫助你提升讓你未來的財政改善這是不是中央最重要的調節地方均衡發展的一個手段
transcript.whisperx[262].start 8481.644
transcript.whisperx[262].end 8504.371
transcript.whisperx[262].text 就像說我們對於有錢人家他不需要太多的支持窮人家的小孩你幫助他上進念書他以後出了社會他可以改善他家庭的生活經濟這就是我們的目的請問現在我們目前的新版財化法有沒有辦法擴大中央用計劃型補助來均衡地方發展的這個目標
transcript.whisperx[263].start 8506.414
transcript.whisperx[263].end 8528.581
transcript.whisperx[263].text 因為計劃性已經看起來因為他的餅這麼大他沒辦法因為就減少很多所以就應該是比較難所以我們看到這個圖統籌分配稅款根據你的財政貢獻度這裡面六都比非都來得強我們再來看一般型補助款
transcript.whisperx[264].start 8529.631
transcript.whisperx[264].end 8552.558
transcript.whisperx[264].text 飯量大的吃的比飯量少的來的多中央能夠幫助有限最主要能夠調節台灣各縣市的均衡發展就是計劃性補助結果我們新版的財富法雖然從中央拿九兆的稅款給地方但是是擴大了都跟非都的差距然後中央給地方的一般性補助又不能縮小還是一樣都比非都拿的多
transcript.whisperx[265].start 8553.243
transcript.whisperx[265].end 8577.238
transcript.whisperx[265].text 最後非督得以翻身的計劃型補助中央變少了是不是這樣子那我們怎麼辦來我舉個例子那現在我們來看一下中央給地方多了4165億的統籌分配稅款不管水平怎麼分請問地方政府的市權有沒有增加這次才話沒談到沒有談到簡單講就像我們辦個團散
transcript.whisperx[266].start 8579.332
transcript.whisperx[266].end 8579.852
transcript.whisperx[266].text 那我來請教一下 我們常常說
transcript.whisperx[267].start 8608.564
transcript.whisperx[267].end 8618.074
transcript.whisperx[267].text 有錢花跟盡量花這是我們最受歡迎的兩種花你知道還有第三種花嗎叫做拚命花
transcript.whisperx[268].start 8619.306
transcript.whisperx[268].end 8643.504
transcript.whisperx[268].text 現在台北市政府本來財政就比較好這是財化法下去的結果他又多了四五百億請問一下 你的審計單位有同時增加對台北市政府多了這麼多錢他不只是有錢花 他不只是盡量花他還拼命花那事情沒成功 錢變多了會產生什麼問題 亂開嘛那審計是不是要防止地方政府亂開這是我們的主軸
transcript.whisperx[269].start 8647.369
transcript.whisperx[269].end 8670.398
transcript.whisperx[269].text 那請問一下 那麼我說時代在變 環境在變 潮流在變但是審計廠沒有變 審計法沒有變但是地方都的財源變多了 事情沒有增加請問審計部要不要對這些地方未來多了那麼多錢 怎麼花 要嚴加審計是不是對那你們有增加人手嗎沒有沒有 那怎麼辦
transcript.whisperx[270].start 8671.889
transcript.whisperx[270].end 8698.158
transcript.whisperx[270].text 我現在是用科技AI 數位這樣來做也要地方這樣來做如果必要的時候我們會請證人我們來看一下這是你113年的審計報告他說直轄市跟縣市政府有計劃實施成效執行率偏低的情況管理作業欠當 是不是這樣子
transcript.whisperx[271].start 8698.958
transcript.whisperx[271].end 8714.132
transcript.whisperx[271].text 有這樣的現象我們事前分配地方的事情沒有增加執行的量沒有增加你的審計能力沒有增加就給他更多的錢那你覺得你要怎麼樣在新版參考法之下做好你對地方政府的審計
transcript.whisperx[272].start 8715.188
transcript.whisperx[272].end 8739.637
transcript.whisperx[272].text 我們還是會盡到我們的主軸啦但是這是我們的審計的主要主軸這個我們會再來加強這個監督的力道所以如果市權隨著財源來移轉到地方政府譬如說本來學校的電費是中央補助現在地方政府錢多了電費自己出對你們審計作為來講是不是比較合理
transcript.whisperx[273].start 8741.829
transcript.whisperx[273].end 8764.847
transcript.whisperx[273].text 我們是準備 像這個部分我們要進行聯合審計 科技審計那我們再來問一下 之前我請教過你屏東縣的自來水普及率 電底 全國是95%台北市是99.83% 屏東只有41%那時候我跟你請教這個普及率問題呢屏東為22個縣是排最後面的
transcript.whisperx[274].start 8765.387
transcript.whisperx[274].end 8794.398
transcript.whisperx[274].text 所以我就請教你來看上次您說到說相較其他縣市持續提高屏東縣的自來水普及的預算這個效益是最好的你是不是同意同意完全同意所以屏東特別需要中央多的資源來協助提高它的自來水的改善讓人民的生活品質提高對不對對那我先問你這次財務法公布之後有九個縣市貨配的補助更少了有沒有屏東是不是其中之一
transcript.whisperx[275].start 8796.369
transcript.whisperx[275].end 8816.736
transcript.whisperx[275].text 他是行政院有出來答應說不會低於114那是行政院的說法那請問這個錯誤怎麼發生的我們看一下這個是低級錯誤啊財發法16條之一在場提出的法案本島19縣市跟離島3縣市通通以22個做分母結果呢
transcript.whisperx[276].start 8817.645
transcript.whisperx[276].end 8824.893
transcript.whisperx[276].text 本島的部分有0.2%無法分配離島的部分有高達99.8%無法分配你覺得這個錯誤是不是很可笑
transcript.whisperx[277].start 8828.084
transcript.whisperx[277].end 8853.958
transcript.whisperx[277].text 這個立法上有稍微沒有注意到好 那如果說全國像屏東縣需要中央大力支持自來水普及的中央的錢變少了 跑到其他的有錢的都去了那請問我要問你 在這個財化法就算這個錯誤公式修改之後你覺得改過之後的財化法對於我們目前無自來水地區供水改善計畫的第五期有沒有受到影響
transcript.whisperx[278].start 8855.103
transcript.whisperx[278].end 8879.719
transcript.whisperx[278].text 中央還有錢做嗎這個前瞻第五期啊前瞻第五期最近通過他大概是無知來水的這一個部分大概有一百多億我是希望能夠幫忙屏東因為屏東啊那要中央有錢啊中央沒有錢怎麼幫忙屏東因為那個預算已經過了那個經濟部這106億啊前瞻已經過了你說106億地方要不要配合款
transcript.whisperx[279].start 8884.66
transcript.whisperx[279].end 8903.589
transcript.whisperx[279].text 地方大概都一般都要有配合款結果我們屏東在財化修改之後我們貨配額數少於修法之前就算中央的錢沒有減少我們地方的能力變少了我們的沿管工程怎麼做我們戶外用戶的外線工程怎麼做你覺得有什麼辦法
transcript.whisperx[280].start 8904.943
transcript.whisperx[280].end 8918.815
transcript.whisperx[280].text 如果未來屏東自來水改善不理想你省紀部要不要來糾正屏東縣政府還是要糾正經濟部這個我們因為是這樣因為自來水地區的改善屬於自來水公司我們會去糾正
transcript.whisperx[281].start 8920.856
transcript.whisperx[281].end 8941.991
transcript.whisperx[281].text 經濟部住來水 住來水公司但是巧合難為無米之炊我們錢變少了 我們怎麼樣來如期完成我們希望 因為屏東是低的我看 當時委員執行我的時候我看那個比例 其實那個比例經過了一年 增加不大那是以前有錢 明年開始沒有錢
transcript.whisperx[282].start 8942.991
transcript.whisperx[282].end 8970.7
transcript.whisperx[282].text 所以我是希望這106億經濟部盡量用在屏東用鼓勵的基礎幫忙屏東這些人能夠去接管謝謝啦 沈局長 感謝你啦但是屏東縣被分配到的錢變少了就算經濟部繼續支持 全力支持我們的自備款 配合款還是不夠來 我們看下一題我們看到新聞報導說行政院要發津貼每一胎補足到10萬你覺得發津貼可以改善生育率嗎
transcript.whisperx[283].start 8971.727
transcript.whisperx[283].end 8995.338
transcript.whisperx[283].text 就是因為我們少數化是一個國安問題啦是蠻低的各種多元方式都要嘗試這是一種嘗試的方式我們非常因為我們審計的時候我審計了他四年他終於有提出說要一個花十萬啦我認為我跟你講你們自己審計部在2016年你們點名屏東33鄉鎮我們有鄉鎮做的一些生育補貼
transcript.whisperx[284].start 9000.18
transcript.whisperx[284].end 9029.033
transcript.whisperx[284].text 第四胎甚至大方送到10萬結果呢 屏東一樣人口沒有增加甚至還繼續減少感覺上這樣的做法有沒有效果全國都有這樣的一個現象所以有婚禮宅也出來了有一個補助10萬也出來這時候 這都是我們當時查所提出的建議你們建議 建議10萬嗎還是說養一個小孩 統計要668萬要多元來處理這些事多元 來我們看一下 學者有研究過
transcript.whisperx[285].start 9030.097
transcript.whisperx[285].end 9055.498
transcript.whisperx[285].text 中央研究院的基地所的研究員說啊2023年如果獲得分配100萬以上再往後的6年生育率呢會提高到多了0.07啊不要說10萬啦 給你100萬喔你幾乎生不了0.01啦但是如果給你1000萬的話呢每100個家庭就會多25個小孩好一點 你覺得政府有可能給生小孩的家庭每一個多1000萬嗎
transcript.whisperx[286].start 9056.567
transcript.whisperx[286].end 9071.103
transcript.whisperx[286].text 我對政府的財政衝擊很大所以要多元方式所以說我請問一下低生育率問題不是要不要生沒有結婚要怎麼生
transcript.whisperx[287].start 9072.066
transcript.whisperx[287].end 9086.481
transcript.whisperx[287].text 所以就有學者說啊低生育率的關鍵密碼不是不生小孩是不結婚啊那你覺得如果我們結婚每一個人第一次結婚政府給他送五十萬的大紅包你覺得怎麼樣 有機會嗎會因為這樣來結婚嗎這個是一種
transcript.whisperx[288].start 9091.006
transcript.whisperx[288].end 9107.263
transcript.whisperx[288].text 謝謝委員 我們的看法和你一樣因為我們台灣的主女大部分都是婚生主女96%都婚生主女所以結婚是很重要的與其鼓勵生育不如鼓勵結婚兩個都有鼓勵
transcript.whisperx[289].start 9110.046
transcript.whisperx[289].end 9136.147
transcript.whisperx[289].text 你給我10萬 我記得要持到18歲對不對 但是我就不要結婚啊你如果給我50萬 我來結婚結的金錢 我自己來處理好 所以目前呢我們說啊結婚大禮包至少要50萬如果現在是出10萬啦是不是剛做回來剛好所以政府說你叫我們的產婦啊 你要做回來政府給你10萬再做回來你覺得民眾是不是感覺剛好 窩心
transcript.whisperx[290].start 9138.568
transcript.whisperx[290].end 9165.55
transcript.whisperx[290].text 這個是 也是一種方式啦這個可以啊 雙管齊下雙管齊下 做回來 給你十萬塊做回來高利貸你盡量生好 那是國安問題啊產物的生活品質 好 我們繼續往下看那少子化的對策 你看一看0到6歲的國家養友善家庭的職場兒童健康的權益保障友善的生育配套從107到114審計報告覺得有沒有太
transcript.whisperx[291].start 9166.732
transcript.whisperx[291].end 9186.86
transcript.whisperx[291].text 有沒有效果 有沒有建議有 剛剛委員講他這個因為花掉國家從107到114花掉7000多億所以我們都有損失所以包括委員講的我們說結婚也要鼓勵有人笑我說你這個老金好像來 那我再問一個話題有沒有聽過明月
transcript.whisperx[292].start 9190.267
transcript.whisperx[292].end 9211.778
transcript.whisperx[292].text 有沒有聽過民怨來民怨幾十有八九問青天啊民怨何處來借問審計官為什麼民怨跟審計有關你知不知道我們以這次的風災好了啦我們現在呢往下看來你看這柱店整個的柱子破一天跟整個的現料料
transcript.whisperx[293].start 9212.625
transcript.whisperx[293].end 9239.378
transcript.whisperx[293].text 我們站在政府的角度我們統計補助十萬啊破一坑的我們補助一千現在我們補助百分之百 補助十萬你覺得合理嗎這個要看政府的財政能力啦但是 最多就十萬而已嘛盡量 因為這些啊 都受災戶那盡量幫助他們那我跟你講 現在地方遇到的情況行政官員說 你如果破一坑我給你省省的面積一千十萬塊我再補助一萬
transcript.whisperx[294].start 9240.919
transcript.whisperx[294].end 9261.521
transcript.whisperx[294].text 你要是破很多坑 面積超過八成 九成你要全部種完 我給你補走十萬但是請教一下 我出現破一坑 我全部種完政府可不可以補走我十萬 有沒有不合理我的房子這麼老舊了 雖然破了一個洞 面積未達五成我全部把它換新 你政府是不是要補走我百分之百 補走我十萬
transcript.whisperx[295].start 9263.256
transcript.whisperx[295].end 9282.115
transcript.whisperx[295].text 這個部分 自宅的這個部分我們內政部或是營建室內政部的規定會受到你們審計人員在事後審計的影響如果說今天內政部說關台你破一坑或是轉沒現料料你叫轉沒煩心 你轉沒煩心報告委員 我們的審計是根據
transcript.whisperx[296].start 9285.846
transcript.whisperx[296].end 9308.431
transcript.whisperx[296].text 那個 內政部或者國土署提出來的計畫來審計但是他的計畫會受到你們審計的思維影響我來講啦 減少民怨喔不要用我們政府的心血來輸課我一間40年的老廚就算我破了一天沒籌過三十年我全部中華我欠了五十四十萬我要求政府補助我 足夠補助 十萬有幾分嗎
transcript.whisperx[297].start 9309.611
transcript.whisperx[297].end 9336.796
transcript.whisperx[297].text 所以說民怨怎麼來 審計人員的思維跟行政的思維要改變 我們來看一下現在的基層怎麼樣 多做多錯 寫報告跑法院其實我們來看一下 你們審計現在在追蹤啊說要出一條陷阱啊 那風太多了過呢 申請案走走風太已經過很久了 申請案走多了 這樣合理嗎這樣合理嗎 應該是風太多做人申請嘛 要越來越少 你覺得這樣哪一個合理
transcript.whisperx[298].start 9339.071
transcript.whisperx[298].end 9367.282
transcript.whisperx[298].text 這個應該風太過 心情比較正常因為風太多了過 市議會都請不上工啊我就是想要還 我也找不上工所以聽到有工來做的時候 很多人就來請補助啊所以我要說的是說 審計的思維要改 往下看所以檢討監督級評論模式期望審計要體察民意不要用政府的採購的思維來要求人民配合政府的思維來爭取政府的補助 所以最後
transcript.whisperx[299].start 9367.842
transcript.whisperx[299].end 9376.729
transcript.whisperx[299].text 最後 希望這三年的一個主張請我們沈記長回去好好研究再給本席一個回溫好不好 可以好 謝謝好 謝謝鍾嘉賓委員的詢問也謝謝被提名人陳沈記長 謝謝
transcript.whisperx[300].start 9400.632
transcript.whisperx[300].end 9402.915
transcript.whisperx[300].text 好 謝謝我們接下來請林德福委員請詢問李坤城委員請準備
transcript.whisperx[301].start 9428.537
transcript.whisperx[301].end 9445.091
transcript.whisperx[301].text 海院長還有陳審計長是不是請陳審計長麻煩再請被提名的陳審計長林委員好陳審計長你好陳審計長我請教
transcript.whisperx[302].start 9448.235
transcript.whisperx[302].end 9470.793
transcript.whisperx[302].text 有關於修憲相關的議題立法院目前有委員提出憲法增修條文提議要匯除監察院並將中華民國憲法中有關於監察院審計部的職權業務移至立法院並於立法院下設審計部還有審計權的遺留
transcript.whisperx[303].start 9476.168
transcript.whisperx[303].end 9477.57
transcript.whisperx[303].text 立法院來行使
transcript.whisperx[304].start 9480.466
transcript.whisperx[304].end 9500.379
transcript.whisperx[304].text 2026年九合一大選很有機會來合併舉行修憲複決的投票未來修憲結果攸關整個審計部組織的歸屬今天提名審查本席請問審計長您對上述的修憲議題對審計部未來定位的看法
transcript.whisperx[305].start 9509.287
transcript.whisperx[305].end 9527.318
transcript.whisperx[305].text 提醒建立還是完全尊重未來立法院相關決議以未來公民修憲複決的投票的一個結果報告委員謝謝委員關心我們這個應該非常大的一個對我們審計非常大的影響的一個問題
transcript.whisperx[306].start 9531.836
transcript.whisperx[306].end 9556.238
transcript.whisperx[306].text 依照國際最高那個審計機關 獨立能夠獨立性 審計的獨立性非常重要就是說法律要保障他 座位不受干預 資料取得不受限首長要任期 大概還有八大支柱 要我們這樣做那這個部分 我們如果
transcript.whisperx[307].start 9558.839
transcript.whisperx[307].end 9582.784
transcript.whisperx[307].text 大宴有成立的修憲委員會如果考監如果有受到影響我們審計部也會受到影響我們審計部的立場就是還是要希望能夠維持超然獨立所長的任命要維持在憲法因為這個是最高審計機關希望
transcript.whisperx[308].start 9585.134
transcript.whisperx[308].end 9600.467
transcript.whisperx[308].text 今天要是經過這個整個憲法遵修條文要是提議通過 你有什麼看法這個部分因為這個部分現在世界各國世界各國
transcript.whisperx[309].start 9601.585
transcript.whisperx[309].end 9625.925
transcript.whisperx[309].text 剛剛講有在國會的 也有獨立的也有司法型的 也有行政型的差不多有四種大部分除了美國和英國以外大概都是在國會其他最主要的都是獨立因為獨立不受政治的干擾
transcript.whisperx[310].start 9627.626
transcript.whisperx[310].end 9643.623
transcript.whisperx[310].text 那問題是過去現在的執政黨他們一直主張就是會監察院會考試院所以說才有人提出這樣的一個條文對不對那要是條文通過那沈記長你有什麼看法
transcript.whisperx[311].start 9644.468
transcript.whisperx[311].end 9664.238
transcript.whisperx[311].text 我們是希望能夠比照世界各國的大部分的國家能夠獨立於三權之外這樣才能夠超然獨立本席認為強化審計功能能夠強化政府機關經費的有效應用
transcript.whisperx[312].start 9665.579
transcript.whisperx[312].end 9675.888
transcript.whisperx[312].text 以促進政府整個財政的一個透明增進公共利益來提升政府財政效能來勘緊納稅人的荷包
transcript.whisperx[313].start 9677.162
transcript.whisperx[313].end 9701.924
transcript.whisperx[313].text 那像AI人工智慧科技發展非常的迅速那本席也從媒體報導得知有審計官來導入AI人工智慧利用AI來查閉比對案件從中果然來發現有一些異常進而揪出不肖的廠商追回部分政府的預算
transcript.whisperx[314].start 9703.165
transcript.whisperx[314].end 9730.297
transcript.whisperx[314].text 那審計部在115年預算打算推動AI審計資料中心的發展計畫那請陳審計長您來說明目前AI人工智慧在審計方面的應用未來若要是您繼續來擔任審計長後會如何來強化應用AI人工智慧來追查弊案以協助第一線審計官的辦案
transcript.whisperx[315].start 9732.848
transcript.whisperx[315].end 9749.844
transcript.whisperx[315].text 報告委員 我剛剛在那裡報告未來的方向第一個 智慧審計第一個方向就是智慧審計我們的人力非常少 我們所有的審計室只有十幾個人
transcript.whisperx[316].start 9751.141
transcript.whisperx[316].end 9779.692
transcript.whisperx[316].text 十幾個人要審計一個像彰化縣或者是這種只有十幾個人所以要用的就是AIAI可以當我們的審計助理可以當我們的審計顧問這個是這樣但是這個是協助我們行政作為主要的判斷還是審計人員要去做判斷但是現在我們的查帳是用數位比對
transcript.whisperx[317].start 9780.872
transcript.whisperx[317].end 9790.583
transcript.whisperx[317].text 剛剛查出剛剛委員報告手指示的那幾項大部分都用數位數位就是說資料庫和資料庫比對像我們查出
transcript.whisperx[318].start 9792.854
transcript.whisperx[318].end 9811.39
transcript.whisperx[318].text 這個法案已經判刑了這個廠商要停錢我們發現一千多家都沒有停錢所以才會發生那個太魯閣那個案子那個普悠瑪還是太魯閣那個案子啊或者發現我們用這個這個是會比對發現
transcript.whisperx[319].start 9813.292
transcript.whisperx[319].end 9841.631
transcript.whisperx[319].text 圍標一千兩千多件我們都移送減掉我們會用這樣來看有的像這個被法院停錢的要沒收押要不要進我們收回一億六千多萬所以這些都是數位最後用AI做幫忙用數位用那個流程主動化每天他在做這個掃描所以
transcript.whisperx[320].start 9843.292
transcript.whisperx[320].end 9862.59
transcript.whisperx[320].text 這個智慧審計或者AI審計或者數位審計對我們審計人力有很大的幫助對我們審計人員有很大的幫助我們會發展所以剛剛委員有提到AI審計資料中心是我們2015年主要的工作
transcript.whisperx[321].start 9864.69
transcript.whisperx[321].end 9883.663
transcript.whisperx[321].text 那針對一零七年中選會前主委陳英賢違法失職重新刊登公告這個公投的公告來啟動第二預備金多花了人民納稅前九百三十一萬監察院已經認定嚴重損及政府的公信力
transcript.whisperx[322].start 9884.443
transcript.whisperx[322].end 9912.429
transcript.whisperx[322].text 那憲法法庭以決議不受理懲戒法院也多次駁回在審那最近一次在審是114年4月24日上訴駁回那本席認為這是違法公告官員犯錯卻是用百姓納稅錢來付錢那中選會前主委陳英權必須負起他的責任中選會不當的支出
transcript.whisperx[323].start 9913.958
transcript.whisperx[323].end 9938.533
transcript.whisperx[323].text 應事後來踢除追繳那已經多少年過去了因為他從107年到現在那陳英權一再來逃避該戶籍的賠償責任本席希望審計部你不要忘記處理陳英權最慢你認為何時可以把錢追回來你是不是給本席一個
transcript.whisperx[324].start 9939.707
transcript.whisperx[324].end 9964.689
transcript.whisperx[324].text 報告委員 委員非常關心這個案子謝謝委員關心這個案子我們一直也注意到114年以後啊淳林前沒有再上市我們就棄了公室給中選會中選會啊我們說這個可能淳林前這個部分要處理他中選會回我回我一個意見說那是
transcript.whisperx[325].start 9965.745
transcript.whisperx[325].end 9976.752
transcript.whisperx[325].text 那是委員會決議的不是從前一個人做的所以初步他回我們這個意見我們的同仁還在研究如何對這個委員會的決議所做的
transcript.whisperx[326].start 9981.154
transcript.whisperx[326].end 9996.888
transcript.whisperx[326].text 在做處理 所以這個委員關心的 我們也非常關心推給所有委員 他們共同來決定這個實在是很扯啊而且我認為那是推脫之職啦我要看你哪時候能夠追出來啦因為這是給社會一個交代 這都是民始民高
transcript.whisperx[327].start 10005.676
transcript.whisperx[327].end 10030.015
transcript.whisperx[327].text 我們也是這樣認為這也對整個社會大家以後的行政大概都依法行政本來就是應該要依法行政大家都依法行政就在這個行政不能透過委員會來演示來掩蓋老百姓大家都在看
transcript.whisperx[328].start 10030.975
transcript.whisperx[328].end 10056.947
transcript.whisperx[328].text 那你身為沈記長當然你有責任有義務而且你是一直駁回這個你說他身為一個主委不必負擔嗎他有相對的權利就相對應該要負責責任我們也在探討是不是省界法院判他20萬他自己也離主了政治責任也處理了這樣是不是就是他的責任931萬變20萬這樣可以接受嗎
transcript.whisperx[329].start 10060.728
transcript.whisperx[329].end 10087.899
transcript.whisperx[329].text 對 這個是委員的意見我們用這樣的意見和中選會談還在談 我認為那個沈記長 這個一定要繼續追而且我希望你給我一個時間這第一點 第二點光做一個陳英權違法失職濫用預算的案件都要花六年以上的時間都還沒有結果那勞動部就業安定基金濫用預算七千兩百二十四萬
transcript.whisperx[330].start 10089.039
transcript.whisperx[330].end 10118.239
transcript.whisperx[330].text 被追回的那一天恐怕我看更遙遙無期那本席接著詢問審計部追查勞動部前部長許明尊長期濫用就業安定基金後續的進度審計部日前來揪出包括演唱會性別平等音樂會辦理空間裝潢包括軌道燈的裝設等等最後決定提出期間
transcript.whisperx[331].start 10121.28
transcript.whisperx[331].end 10142.728
transcript.whisperx[331].text 224萬本席認為不能只用公務預算來歸電否則就是全民買單那政府機關要負起應有的責任讓那些違法失職要繼續來追討他們濫用預算那沈記長你針對這個就業安定基金預算濫用追討的情形
transcript.whisperx[332].start 10144.195
transcript.whisperx[332].end 10160.49
transcript.whisperx[332].text 你認為在未來怎麼樣去防弊而且針對這個事情你認為應該要怎麼做我們防弊這部分有幾個面向勞動部已經在改了 已經處理了但是我們也在追它的成效如何
transcript.whisperx[333].start 10163.312
transcript.whisperx[333].end 10188.366
transcript.whisperx[333].text 再來基金和公務要切開他切得如何這個我們都在處理有一些像裝潢那些那些我們檢調已經那個懷疑有的已經判了裡面判了裡面有涉及要默入所得的部分勞動部要去請求回來洗前部長的這個部分還在修法
transcript.whisperx[334].start 10192.108
transcript.whisperx[334].end 10216.157
transcript.whisperx[334].text 司法處理當中 至於那7000多萬要怎麼處理我們已經請勞動部要直向查明勞動部現在在做這方面的處理陳記長 針對各部會裡面要是有雷同像那種就業案例基金這個我認為不是光只有勞動部而已
transcript.whisperx[335].start 10217.077
transcript.whisperx[335].end 10239.586
transcript.whisperx[335].text 其他單位 一併啊都要查得清清楚楚的我們查出來有57個基金基金和公務啊 混入我們希望把它因為行政院的規定是要把它分 化分清楚所以這個部分我們已經行文給相關單位化分清楚那個基金啊
transcript.whisperx[336].start 10240.563
transcript.whisperx[336].end 10255.426
transcript.whisperx[336].text 也是這個人民的血汗錢 對服務人作為他們自己的一個私有的金庫這個我們都會查現在以前大家都說會查公務現在我們基金也會查
transcript.whisperx[337].start 10256.327
transcript.whisperx[337].end 10277.289
transcript.whisperx[337].text 營業也會查 財團法輪我們也會查這一個部分我們都在努力好啦 我希望那個沈記長一定要積極 不能放縱我認為說今天身為公務人員你就要依法行政那你今天不依法行政你縱容他 會養成他胃口越來越大
transcript.whisperx[338].start 10278.81
transcript.whisperx[338].end 10303.342
transcript.whisperx[338].text 所以說我希望你好好的去追查這些問題截至114年9月5日丹納斯颱風所造成太陽能光電板受損影響為十二萬一千多片其中有三萬兩千片經檢修還尚可使用還可再利用其餘的八萬九千多片需要委託這些廢棄物的廠商來處理
transcript.whisperx[339].start 10305.843
transcript.whisperx[339].end 10314.932
transcript.whisperx[339].text 丹納斯臺灣把太陽能光電板摧毀但也暴露了大型光電暗場缺乏防災應變計畫及壓光電板清除計畫
transcript.whisperx[340].start 10319.383
transcript.whisperx[340].end 10340.982
transcript.whisperx[340].text 那沈記長你認為以沈記部這個認為說人員署收取光電板回收費用作為處理泰裔的模組織基金110年到112年衛甲回收費大約有1億左右那衛甲的比例大約佔10%
transcript.whisperx[341].start 10343.363
transcript.whisperx[341].end 10363.232
transcript.whisperx[341].text 本席希望審計部持續監督經濟部以及及早的改善來啟動檢討太陽能光電板這些設備模組回收的費用以確保未來處理太溢的這些太陽能光電模組的費用來源我們去查這個模組費用的問題應該
transcript.whisperx[342].start 10367.182
transcript.whisperx[342].end 10391.973
transcript.whisperx[342].text 到112年應該繳10點多億但是有4億 差不多將近4億沒繳我們催冷黑鼠 你要他去繳現在好像要處理這些廢棄物啊可能NSO的費用還不足可能還是要請冷黑鼠好好檢討這個光電模組的這些因為他
transcript.whisperx[343].start 10393.354
transcript.whisperx[343].end 10415.509
transcript.whisperx[343].text 沒有想到會一陣颱風來摧毀了這麼多所以當時就是說20年後30年後財財處理沒想到就受到風災的損害所以這個我們會來照委員的意思來處理因為講實在話這些光電風電裡面弊端重重我相信你也很清楚
transcript.whisperx[344].start 10416.289
transcript.whisperx[344].end 10432.414
transcript.whisperx[344].text 本席是支持穩健的綠能發展但不希望整個政策本末倒置漁電共生政策必須落實以養殖為本那綠電加值的原則當初政府官員政策講得非常漂亮
transcript.whisperx[345].start 10433.214
transcript.whisperx[345].end 10447.575
transcript.whisperx[345].text 但是現實卻是有電無餘根據審計部報告指出2025年1月底以查核與電共生的這個案場其中有7成多未落實養殖的事業
transcript.whisperx[346].start 10448.877
transcript.whisperx[346].end 10470.723
transcript.whisperx[346].text 的事實 那審計部統計全台大概完工併網的漁電共生案場一共有393件那只有122件這個其中通過37件有待改善的以及招廢止的有85件未落實養殖者比例佔69.67%主要還是農業結合綠能設施 衛能符合
transcript.whisperx[347].start 10477.805
transcript.whisperx[347].end 10491.689
transcript.whisperx[347].text 原来的这些养殖计划本期是希望说沈记长你要承诺一定共生要持续列为沈记部稽查的重点终结有电无鱼的这些乱象你有没有什么看法
transcript.whisperx[348].start 10492.823
transcript.whisperx[348].end 10498.387
transcript.whisperx[348].text 這個是這樣 那個是我們去看了看了以後 因為我們損棄的發現但是我們損棄發現都是根據一夜暑的計畫我們不會鑄創計畫一夜暑的計畫裡面要有魚
transcript.whisperx[349].start 10508.396
transcript.whisperx[349].end 10527.613
transcript.whisperx[349].text 後來我們去看沒有魚後來我們通知了1月101月10後來有一些說明他們已經改善了一些了但是我們就照委員的意思還是要他繼續改善因為希望有魚又希望有電這個是看能夠取得雙重
transcript.whisperx[350].start 10530.215
transcript.whisperx[350].end 10554.994
transcript.whisperx[350].text 都是雙重的獨立我們是希望這樣但是ES做的事情一樣以為主那個沈記長你包括離岸風電都一樣因為離岸風電它一開始有七成是短購短購就是溢價然後三成公開招標公開招標跟短購
transcript.whisperx[351].start 10556.135
transcript.whisperx[351].end 10577.933
transcript.whisperx[351].text 那個價格之差實在是沒有辦法處理結果那個囤購以後我問那個沈龍津部長他說那些將來就是要技術移轉結果人家有申請專利你要技術移轉根本就不可能都是半成品進來插在那個海邊然後那楓葉裝一裝
transcript.whisperx[352].start 10579.494
transcript.whisperx[352].end 10594.466
transcript.whisperx[352].text 那個根本騙局一場其實這裡面弊端重重啦沈記長我希望你要把這個事情要好好的查因為短購跟公開招標落差很大你去把它調出來看真的那個落差之大
transcript.whisperx[353].start 10595.944
transcript.whisperx[353].end 10610.051
transcript.whisperx[353].text 這個委員這是一個事實 我們也查了我們也發現國產化的進度都落後沒有啦 都是半成民進來啦但是也發現有的廠商他後來要國產化 他也有他的意見
transcript.whisperx[354].start 10617.884
transcript.whisperx[354].end 10641.601
transcript.whisperx[354].text 那個沈記長 那個都是騙局一場啦都是扮成敏進來摘下去啦 楓葉插一插啦然後說短購 一直飆二十年欸二十年台電損失九千一百億一年要損失四百五十五億關離岸楓電而已喔 光電還不算喔所以說這些問題應該要查清楚給社會一個交代我們會繼續啊 來追蹤 後來繼續來查核我認為希望沈記部要多用一點
transcript.whisperx[355].start 10648.561
transcript.whisperx[355].end 10651.567
transcript.whisperx[355].text 好 謝謝林德福委員的詢問也謝謝被提名的陳審計長 謝謝
transcript.whisperx[356].start 10676.701
transcript.whisperx[356].end 10682.955
transcript.whisperx[356].text 好我們接下來請今天登記第七位最後一位詢問的委員李坤城委員請詢問
transcript.whisperx[357].start 10703.121
transcript.whisperx[357].end 10729.037
transcript.whisperx[357].text 謝謝院長 我們請沈記長麻煩請被提名的陳審議長在此李委員好沈記長好 辛苦了因為我們常常在我在省政委員會所以我們碰面的機會比較多給我們督促 給我們主導給我們協助 謝謝謝謝沈記長今天這一輪問下來你對於你的人事同意權有沒有信心
transcript.whisperx[358].start 10731.219
transcript.whisperx[358].end 10749.907
transcript.whisperx[358].text 我是對如果能夠再繼任我對我有信心帶領我損棄同仁善盡損棄足足幫政府做一點事或者和行政部門共促進良善助理這個是大概有這個信心
transcript.whisperx[359].start 10751.287
transcript.whisperx[359].end 10778.475
transcript.whisperx[359].text 您的角色跟我們立法委員的角色也有雷同之處我們審查預算然後看預算每年度執行的情況怎麼樣審計是看決算當然也是看說預算執行的情況是怎麼樣所以其實立法院跟審計部對於勘警預算這個荷包大概有相同的地方我請教一下審計長新的財務法修正之後
transcript.whisperx[360].start 10779.775
transcript.whisperx[360].end 10804.231
transcript.whisperx[360].text 當然地方上面我們也從中央有撥了大概有4165億到地方去 從中央撥到地方去但是因為這次修法的確比較倉促包括我們在財政委員會三分鐘就出委員會然後最後在表決質詢的時候所送出來版本跟朝野協商版本到最後通過版本也不一樣所以有發生一些問題
transcript.whisperx[361].start 10805.431
transcript.whisperx[361].end 10824.732
transcript.whisperx[361].text 後續所衍生的問題 包含第一個統籌分配款的公式錯誤然後城鄉差距擴大 适權財權分配的問題那也錢存的地方財政資源雖然增加但是地方政府的執行能量或是財政的努力不足
transcript.whisperx[362].start 10825.659
transcript.whisperx[362].end 10844.418
transcript.whisperx[362].text 甚至有可能會發生說你多了這麼多的預算有可能在執行上面有問題的地方因為我也看你們的決算的報告也的確也抓出來說很多的地方政府在執行預算的時候發生說你明明有這些預算但是你的執行力不夠後續會再跟審計長再來討論我再請教一下
transcript.whisperx[363].start 10846.26
transcript.whisperx[363].end 10868.371
transcript.whisperx[363].text 因為您之前也擔任過 主席處的副主席長現在是省計長 請問一下這次的財化法的修正大家討論最多的 也認為爭議最大的就是財權有劃分了 但是市權沒有跟著走以您的角色來看 財權跟市權怎麼樣的劃分會比較好
transcript.whisperx[364].start 10870.532
transcript.whisperx[364].end 10884.089
transcript.whisperx[364].text 這個在我們相關的法裡面說希望中央一致性的或者引導性的由中央來做地方住住的由地方來做七一透性的由地方來做剛剛委員講
transcript.whisperx[365].start 10885.33
transcript.whisperx[365].end 10906.644
transcript.whisperx[365].text 其實有時候看起來4100億其實增加快一倍所以我是希望中央和地方好好談把事和錢讓地方住住能夠預約事你就去做大家把事情大家談好
transcript.whisperx[366].start 10909.545
transcript.whisperx[366].end 10927.87
transcript.whisperx[366].text 這樣對國家 站在國家整體的立場是對國家是會比較好所以我希望能夠借還有435億來平衡城鄉如果還有一些空間補助款的空間來平衡城鄉順便談談私和錢當時有些像排水
transcript.whisperx[367].start 10934.782
transcript.whisperx[367].end 10950.479
transcript.whisperx[367].text 雨水像現在極端氣候很厲害啊那個排水應該是上中油啊那可能中央要幫忙那如果光地方去弄啊可能白飯碗徹底整理你看當時我們也查出來雨水排水到當時規劃7000多公里
transcript.whisperx[368].start 10953.466
transcript.whisperx[368].end 10980.127
transcript.whisperx[368].text 現在只做了五千多公里還有一千多公里沒做我們是希望那這個是中央的責任還是地方的責任這一個我們是希望現在是水利署在幫如果能夠趕快把它做好極端氣候來的時候我們的潤性就夠所以這個是一些希望但是我們損失上我們會在後面來盡量督促但是這個才化法
transcript.whisperx[369].start 10980.587
transcript.whisperx[369].end 11002.424
transcript.whisperx[369].text 影響整個國家整體的發展如果分配那時候的分配很重要所以我們是希望中央和地方能夠好好坐下來談談出一個我們也希望中央跟地方好好坐下來談但是發現說那個地方政府他們喊出來口號是地方包圍中央那沈界長怎麼看
transcript.whisperx[370].start 11003.151
transcript.whisperx[370].end 11016.021
transcript.whisperx[370].text 我們還是大家要平心進去能夠大家是我差不多有的事情我已經做了有的事情別的縣市還沒做有的像農業縣它開源很難
transcript.whisperx[371].start 11019.263
transcript.whisperx[371].end 11042.688
transcript.whisperx[371].text 因為我們的裡面都是財產稅貨財產稅貨者就佔的百分之四十幾你要叫農業縣去弄財產稅不太容易中央都會行的比較開源比較容易但是農業行的其實啊他有他的先天的限制所以應該大家
transcript.whisperx[372].start 11043.928
transcript.whisperx[372].end 11058.733
transcript.whisperx[372].text 所以沈縣長也認為說這次的財務法的確在垂直分配跟水平分配上面出現了問題一些指標性上面你講的說一些指標性的問題也出現了我看也有委員希望說農業可能你限制他農業發展
transcript.whisperx[373].start 11059.893
transcript.whisperx[373].end 11077.134
transcript.whisperx[373].text 限制他的土地只能做農業嘛其實也要給他機會這樣的確會造成說漁業稅收的比較多的一些縣市他越來越有錢因為他分配到的這個統籌分配款其實增加了那其實對一些中南部的農業縣市來講指標相對來講對他也不利啊
transcript.whisperx[374].start 11077.634
transcript.whisperx[374].end 11102.101
transcript.whisperx[374].text 那就變成說我們本來修財化法是希望說能夠均衡這個地方各個縣市的發展那不夠的本來是中央透過這個一般性補助或是計畫性的補助來調衡那現在變成沒有這個彈性了現在你全部都下去給地方那就發生說我等一下後續會再跟審計長討論的問題那這個如果現在按照目前所通過的財化法會影響到說後續的你們這個審計的一些作為嗎
transcript.whisperx[375].start 11107.883
transcript.whisperx[375].end 11133.201
transcript.whisperx[375].text 會 因為我剛剛提到它原來2014年的統籌分配款4600億是歷年來相當高的一個部分現在大幅增加了到8000多億這些如果進到它的個機關去我們的地方的損失量能產生衝擊這個我們已經在想辦法因應要怎麼因應大概
transcript.whisperx[376].start 11133.781
transcript.whisperx[376].end 11149.114
transcript.whisperx[376].text 第一個我要聯合審計這幾個七億啊聯合審計第二個我要用AIAI是我當助理當顧問我要去審計以前我要去看這個淡水河的時候我要看什麼AI會告訴我
transcript.whisperx[377].start 11150.194
transcript.whisperx[377].end 11177.784
transcript.whisperx[377].text 完了以後這個怎麼樣整合但是最後由我們審計人員來做判斷因為我告訴我們審計人員做任何事安全第一你租姓 租姓安全第一所以我也請我們的租姓市長每個月幫我查一次這些像外面拿來的那些數位資料我們不能出任何差錯所以這個大概我們用數位審計來
transcript.whisperx[378].start 11179.065
transcript.whisperx[378].end 11198.866
transcript.whisperx[378].text 來做 會AI來做那最主要會用數位損盡大家希望能夠幫地方政府看出因為其實損盡是應該如果所長願意的話可以把損盡當朋友因為損盡你有時候你當一個所長千頭萬細
transcript.whisperx[379].start 11200.787
transcript.whisperx[379].end 11216.299
transcript.whisperx[379].text 審計去幫你看如果那個報告也是要把主計跟審計都當好朋友對 你要把它人家審計講的有道理如果別的道理你可以告訴審計你的觀點可能有問題我們的觀點可能有問題如果我講的對他們應該要趕快去做
transcript.whisperx[380].start 11221.623
transcript.whisperx[380].end 11237.417
transcript.whisperx[380].text 我再請教一下審計長我有看你們這個審計報告就是說我剛才提到就是說我們希望說地方政府拿到這個預算之後當然能夠去好好的執行所以我們也討論到它的執行力但是幾個比較大的案子譬如說像花蓮縣政府
transcript.whisperx[381].start 11238.338
transcript.whisperx[381].end 11252.807
transcript.whisperx[381].text 他們的議會也提到就是說花蓮縣政府很多的計劃都是倒著做計劃先想出來了然後再去想說接下來要去怎麼樣去做所以包含什麼鄉縣大道 青年住宅等等
transcript.whisperx[382].start 11253.283
transcript.whisperx[382].end 11275.178
transcript.whisperx[382].text 事前都沒有做過可行性評估導致推動後遇到許多的問題審計部在決算報告中都有做檢討 這第一個基隆也有 基隆就是說在113年度的總決算審核報告當中也指出來基隆市政府重大建設計畫執行率偏低部分計畫低於六成
transcript.whisperx[383].start 11276.183
transcript.whisperx[383].end 11287.803
transcript.whisperx[383].text 顯示推動的效能不足提到就是說你有錢但是你沒有這個執行力還有你們在113年的審核報告中也提到
transcript.whisperx[384].start 11289.807
transcript.whisperx[384].end 11310.848
transcript.whisperx[384].text 中央有編列計劃預算8.6億要來協助地方改善殯葬設施不足及老舊的問題但是計劃期屆將滿半數的績效指標累計達成率未及三成很多啦 我就舉一些重點來看然後還有地方補助
transcript.whisperx[385].start 11312.182
transcript.whisperx[385].end 11336.03
transcript.whisperx[385].text 中央補助地方2.4億發展地方創生然後省基部也舉出來就是說九成的計畫沒有人按照期限來完成這個撥給地方總共2億4829萬然後兩成的計畫核定後測案九成的計畫未能一線完成這是國發會給地方做的這個地方創生等等
transcript.whisperx[386].start 11336.57
transcript.whisperx[386].end 11355.203
transcript.whisperx[386].text 好 那就是回到我剛開始問這個審計黨的問題這樣我們也擔心就是你一下子地方多了比過去多了一倍的4165億的這個統籌分配款再加上現在在野黨要求計劃性的補助款跟這個一般性的補助款都不能低於前年度的這個撥補的這個預算
transcript.whisperx[387].start 11358.105
transcript.whisperx[387].end 11387.225
transcript.whisperx[387].text 問題來了會不會造成我剛才講就是說你拿到這麼多錢了你現在發生執行力的問題因為你第一個我們也還看不到說到底現在各個縣市的對於拿到這麼多的預算他的計畫有沒有提出新的計畫第二個他的公務員的能力就是這樣子就是這麼多他有沒有辦法來執行這麼多的預算會不會最後造成說這些預算有可能會變成浪費或是甚至你沒有辦法執行到這些預算
transcript.whisperx[388].start 11389.349
transcript.whisperx[388].end 11395.382
transcript.whisperx[388].text 我剛剛講 餅就是這麼大切了以後有的多了 有的少了但是
transcript.whisperx[389].start 11396.381
transcript.whisperx[389].end 11424.156
transcript.whisperx[389].text 他的一個組織型態就是原來的所以這個族群上有時候會一下子前來了不知道怎麼用的確會發生這種情況因為我剛舉了好幾個例子就是已經給地方了地方也提出計畫了但是地方的執行力有問題那這個是還是過去已經按照這一個計畫給的那現在是你多了
transcript.whisperx[390].start 11425.016
transcript.whisperx[390].end 11440.107
transcript.whisperx[390].text 這麼多 多了是世間多餘那我也擔心就是說那中央的好意在地方上面會不會變成執行上面的一個困擾像這種中央以前給的我們會希望他要規劃好所以順夫使
transcript.whisperx[391].start 11440.984
transcript.whisperx[391].end 11465.156
transcript.whisperx[391].text 一個事情規劃很重要再來它因為整個建設有前週期的生命週期差不多一直規劃到營運它是有五個階段的但是規劃的時候是很重要你如果規劃的剛剛委員講你沒有規劃好以後整個族型的時候發現這裡也有問題那裡也有問題所以會造成
transcript.whisperx[392].start 11466.696
transcript.whisperx[392].end 11484.601
transcript.whisperx[392].text 一些困境沒辦法執行或者是效能不佳這個是一個問題再來委員談的我也去注意到因為地方給了這麼多我們114年到6月我們有查地方的公共建設
transcript.whisperx[393].start 11488.562
transcript.whisperx[393].end 11508.218
transcript.whisperx[393].text 1066項 其中有超過八成的只有四個單位 其餘都低於八成你說只是低於八成喔其餘有四個單位是高於八成以上有剩下到六位 今年都六位他們大概我們就先疫警
transcript.whisperx[394].start 11508.918
transcript.whisperx[394].end 11536.437
transcript.whisperx[394].text 他們可能會趕工會處理但是所有的事情在規劃我希望這些事情你要提前就把方案規劃好放著錢來了方案提出來再檢討一下根據實際方案再修正就可以趕快發報趕快做現在看起來不是這樣子現在看起來是先有錢了計畫好像還沒有看出來他因為先有錢來了但是因為其實是這樣
transcript.whisperx[395].start 11537.758
transcript.whisperx[395].end 11557.177
transcript.whisperx[395].text 我看了統籌會議是多了但是一般性補助款是為儲但是計劃型是有減了一些所以加起來他沒有多到那麼多所以整個所以要中央和地方要坐下來好好談一下
transcript.whisperx[396].start 11557.777
transcript.whisperx[396].end 11582.042
transcript.whisperx[396].text 你這樣看計劃性補助款因為中央的餅就是這麼大所以說統籌分配款增加了計劃性補助款中央可能會本來是屬於我們在講的財權跟市權有些是屬於這個地方應該要處理的所以中央就不做這個補助了當然也引起地方上面一些反彈但是在野黨他們打算修這個財化法他就是說計劃性補助款
transcript.whisperx[397].start 11583.554
transcript.whisperx[397].end 11600.608
transcript.whisperx[397].text 這個你也不能少一般性補助款你也不能少所以那個彈性就沒有了所以我一直希望中央和地方我們是站在全國一體全國一體這個是我們只有台灣這個島我們希望每個人都好
transcript.whisperx[398].start 11601.617
transcript.whisperx[398].end 11627.962
transcript.whisperx[398].text 我都不是說希望目前的採劃法的修法至少目前修成這樣子你有認為說對台灣整個20個縣市都好嗎那個看在最後因為剛好他有產生一些矛盾所以有機會大家再談 談好像你剛才講的六都歸六都台北市大家怎麼樣怎麼樣
transcript.whisperx[399].start 11629.882
transcript.whisperx[399].end 11641.687
transcript.whisperx[399].text 當然行政院已經有答應說不會少於114年的那些一般性補助款、同仇分配授款加起來的總額行政院的善意是已經釋出來了
transcript.whisperx[400].start 11643.37
transcript.whisperx[400].end 11670.488
transcript.whisperx[400].text 好 那再請教一下這個沈縣長剛剛你也提到就是說一些財劃法的指標性的問題就是說目前在這個指標裡面它的分配共識裡面對於人口數還有這個營利事業營業額的指標合起來佔了75%左右這也是我剛才所擔心就是說你如果把這個指標放在這裡的話當然對於雙北桃園六都來講可能
transcript.whisperx[401].start 11671.508
transcript.whisperx[401].end 11696.441
transcript.whisperx[401].text 所增加的這個統籌分配款會比較多但是對於非六都的這些農業縣市來講就有可能會相對來講會減少甚至連彰化縣這麼大的一個縣它其實人口數也算多但是它有可能因為它本身屬於工廠的部分大公司的部分比較少所以在這次的統籌分配款裡面它拿的其實相對其他六都來講是少的那請教一下就是說
transcript.whisperx[402].start 11697.341
transcript.whisperx[402].end 11715.191
transcript.whisperx[402].text 按照目前的修法的公式來看的話那沈建展有沒有認為有什麼可以需要再做調整的地方讓城鄉差距的差距我們本來要縮小但是這次財務法修法之後我們沒有看到城鄉差距的縮小反而讓它擴大
transcript.whisperx[403].start 11716.748
transcript.whisperx[403].end 11732.913
transcript.whisperx[403].text 這個因為分配本來在分配之前如果能夠做一些大家談因為分配出去大家都知道我可以拿多少如果少對他來講是一個衝擊
transcript.whisperx[404].start 11734.734
transcript.whisperx[404].end 11752.871
transcript.whisperx[404].text 所以坐下來談 大家談到把這些談到一個合理的數字能夠幫助窮鄉僻壤或者能夠讓建設還沒開始的怎麼談 沈界長這邊有沒有什麼因為你每年的決算你都可以看得出來說各個縣市政府
transcript.whisperx[405].start 11753.351
transcript.whisperx[405].end 11769.341
transcript.whisperx[405].text 在執行預算的時候 出現了一些問題按照你的角度來講 怎麼談對於財務法的修正未來不論是行政院 如果提出自己的版本的話那要怎麼樣去修 會比較好一點
transcript.whisperx[406].start 11770.792
transcript.whisperx[406].end 11798.94
transcript.whisperx[406].text 這一個我是沒有去因為這不是我的主軸所以我沒有做那麼深入的探討沒有做那麼深入的探討所以我只有三個部分都要統籌分配稅款一般性補助款還有計畫型補助款要看還有地方的財政開源能力地方的稅入也要看
transcript.whisperx[407].start 11800.239
transcript.whisperx[407].end 11823.225
transcript.whisperx[407].text 如果要看地方的稅入或者稅出其實三年平均以後它會出現它的一個水準出來或者是稅出三年平均以後它會出現一個水準出來我們不要影響它的水準讓我們大家都能夠越來越好
transcript.whisperx[408].start 11825.358
transcript.whisperx[408].end 11853.857
transcript.whisperx[408].text 我的意思就是說現在的確有出現這些問題了所以沒有達成我們希望說修了財務法之後能夠越來越好因為包含這些農業縣市的這些立委也提出不同的看法那當然修法的源頭還是在立法院因為不論這個公司的錯誤或是說未來有關這個財務法怎麼修修法的源頭還是要回到立法院來那當然行政院我也認為說要有自己的一個版本
transcript.whisperx[409].start 11855.337
transcript.whisperx[409].end 11883.443
transcript.whisperx[409].text 這個件事情證明了說其實在野黨在財化法的修正上面我認為他沒有做好全盤的了解所以才造成說一個財化法衝突修完之後產生這麼多的問題所以我也建議說我們的財政部能夠提出一個比較完善的版本來修改讓財化法修完之後能夠對於這些城鄉的差距或是說這些城市還有非城市的農業縣市的一些
transcript.whisperx[410].start 11884.484
transcript.whisperx[410].end 11899.225
transcript.whisperx[410].text 這個差距能夠越來越小啦我只是說沈計長站在這一個審計的一些角度上面不妨也給我們一些指導啦因為財務法是牽涉到很多人有的人大家都不太容易擺平所以都
transcript.whisperx[411].start 11900.046
transcript.whisperx[411].end 11918.111
transcript.whisperx[411].text 要不行政院 為什麼要中央和地方要談很多次 大家好好談談出最適合我們整個台灣全體人民的一個方式大家不能說哪一個怎麼樣所以盡量來因為它是涉及
transcript.whisperx[412].start 11926.653
transcript.whisperx[412].end 11949.203
transcript.whisperx[412].text 謝謝李坤城委員的詢問也謝謝被提名人陳審計長謝謝報告全員委員會我們今天針對被提名人陳瑞銘審計長詢答部分到此為止我們再一次謝謝被提名人審計長的列席答詢另外有關各黨團對被提名人所提書面問題及被提名人答覆之相關資料列入公報記錄
transcript.whisperx[413].start 11950.644
transcript.whisperx[413].end 11978.675
transcript.whisperx[413].text 報全委委員會審議長被提名人資格以及是否私認相關事項已經審查完畢我們現在本案做以下決議提報院會以記名投票表決今天非常謝謝陳審計長列席也謝謝陳永康委員從頭到尾陪著我們一起來審查審計長的相關各種提名的答訊也謝謝李坤城委員我們現在全委會散會