iVOD / 16361

Field Value
IVOD_ID 16361
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16361
日期 2024-12-12
影片種類 Full
開始時間 2024-12-12T08:30:15+08:00
結束時間 2024-12-12T15:55:00+08:00
影片長度 07:24:45
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a609dfec178494a9b519ad9f551ce5fa921f78081dad70f87c463ba62e376a5c8eea5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-12-12T09:00:00+08:00
會議名稱 第11屆第2會期第2次全院委員會(事由:總統咨,茲依據中華民國憲法增修條文第5條規定,提名張文貞、姚立明、何賴傑、陳運財、王碧芳、廖福特、劉靜怡7位為司法院大法官,並以張文貞為院長、姚立明為副院長,咨請同意案。)
委員名稱 完整會議
委員發言時間 08:30:15 - 15:55:00
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 1845.10971875
transcript.pyannote[0].end 1852.70346875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 1853.26034375
transcript.pyannote[1].end 1857.19221875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 1857.71534375
transcript.pyannote[2].end 1861.34346875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 1862.55846875
transcript.pyannote[3].end 1864.61721875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 1865.10659375
transcript.pyannote[4].end 1867.87409375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 1868.14409375
transcript.pyannote[5].end 1870.00034375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 1870.30409375
transcript.pyannote[6].end 1873.59471875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 1874.10096875
transcript.pyannote[7].end 1883.83784375
transcript.pyannote[8].speaker SPEAKER_17
transcript.pyannote[8].start 1899.19409375
transcript.pyannote[8].end 1904.44221875
transcript.pyannote[9].speaker SPEAKER_17
transcript.pyannote[9].start 1904.83034375
transcript.pyannote[9].end 1911.20909375
transcript.pyannote[10].speaker SPEAKER_17
transcript.pyannote[10].start 1911.59721875
transcript.pyannote[10].end 1917.82409375
transcript.pyannote[11].speaker SPEAKER_17
transcript.pyannote[11].start 1918.02659375
transcript.pyannote[11].end 1928.11784375
transcript.pyannote[12].speaker SPEAKER_17
transcript.pyannote[12].start 1928.65784375
transcript.pyannote[12].end 1931.18909375
transcript.pyannote[13].speaker SPEAKER_17
transcript.pyannote[13].start 1931.67846875
transcript.pyannote[13].end 1933.31534375
transcript.pyannote[14].speaker SPEAKER_17
transcript.pyannote[14].start 1934.05784375
transcript.pyannote[14].end 1937.60159375
transcript.pyannote[15].speaker SPEAKER_17
transcript.pyannote[15].start 1937.98971875
transcript.pyannote[15].end 1942.32659375
transcript.pyannote[16].speaker SPEAKER_17
transcript.pyannote[16].start 1942.98471875
transcript.pyannote[16].end 1948.48596875
transcript.pyannote[17].speaker SPEAKER_17
transcript.pyannote[17].start 1948.90784375
transcript.pyannote[17].end 1955.21909375
transcript.pyannote[18].speaker SPEAKER_17
transcript.pyannote[18].start 1955.99534375
transcript.pyannote[18].end 1960.02846875
transcript.pyannote[19].speaker SPEAKER_17
transcript.pyannote[19].start 1960.14659375
transcript.pyannote[19].end 1962.42471875
transcript.pyannote[20].speaker SPEAKER_17
transcript.pyannote[20].start 1962.94784375
transcript.pyannote[20].end 1968.90471875
transcript.pyannote[21].speaker SPEAKER_17
transcript.pyannote[21].start 1969.79909375
transcript.pyannote[21].end 1976.49846875
transcript.pyannote[22].speaker SPEAKER_17
transcript.pyannote[22].start 1977.15659375
transcript.pyannote[22].end 1981.12221875
transcript.pyannote[23].speaker SPEAKER_17
transcript.pyannote[23].start 1981.72971875
transcript.pyannote[23].end 1985.42534375
transcript.pyannote[24].speaker SPEAKER_17
transcript.pyannote[24].start 1985.50971875
transcript.pyannote[24].end 1988.27721875
transcript.pyannote[25].speaker SPEAKER_17
transcript.pyannote[25].start 1988.71596875
transcript.pyannote[25].end 1994.87534375
transcript.pyannote[26].speaker SPEAKER_17
transcript.pyannote[26].start 1995.68534375
transcript.pyannote[26].end 1999.65096875
transcript.pyannote[27].speaker SPEAKER_17
transcript.pyannote[27].start 2000.34284375
transcript.pyannote[27].end 2002.23284375
transcript.pyannote[28].speaker SPEAKER_17
transcript.pyannote[28].start 2002.53659375
transcript.pyannote[28].end 2007.98721875
transcript.pyannote[29].speaker SPEAKER_17
transcript.pyannote[29].start 2008.94909375
transcript.pyannote[29].end 2011.61534375
transcript.pyannote[30].speaker SPEAKER_17
transcript.pyannote[30].start 2012.00346875
transcript.pyannote[30].end 2014.82159375
transcript.pyannote[31].speaker SPEAKER_17
transcript.pyannote[31].start 2015.74971875
transcript.pyannote[31].end 2017.74096875
transcript.pyannote[32].speaker SPEAKER_17
transcript.pyannote[32].start 2018.09534375
transcript.pyannote[32].end 2019.04034375
transcript.pyannote[33].speaker SPEAKER_17
transcript.pyannote[33].start 2019.09096875
transcript.pyannote[33].end 2021.82471875
transcript.pyannote[34].speaker SPEAKER_17
transcript.pyannote[34].start 2022.19596875
transcript.pyannote[34].end 2026.39784375
transcript.pyannote[35].speaker SPEAKER_17
transcript.pyannote[35].start 2026.61721875
transcript.pyannote[35].end 2030.26221875
transcript.pyannote[36].speaker SPEAKER_17
transcript.pyannote[36].start 2031.40971875
transcript.pyannote[36].end 2033.99159375
transcript.pyannote[37].speaker SPEAKER_17
transcript.pyannote[37].start 2034.29534375
transcript.pyannote[37].end 2036.28659375
transcript.pyannote[38].speaker SPEAKER_17
transcript.pyannote[38].start 2036.94471875
transcript.pyannote[38].end 2041.88909375
transcript.pyannote[39].speaker SPEAKER_17
transcript.pyannote[39].start 2042.61471875
transcript.pyannote[39].end 2046.17534375
transcript.pyannote[40].speaker SPEAKER_17
transcript.pyannote[40].start 2046.32721875
transcript.pyannote[40].end 2047.13721875
transcript.pyannote[41].speaker SPEAKER_17
transcript.pyannote[41].start 2047.44096875
transcript.pyannote[41].end 2048.25096875
transcript.pyannote[42].speaker SPEAKER_17
transcript.pyannote[42].start 2048.52096875
transcript.pyannote[42].end 2053.04346875
transcript.pyannote[43].speaker SPEAKER_17
transcript.pyannote[43].start 2053.41471875
transcript.pyannote[43].end 2055.49034375
transcript.pyannote[44].speaker SPEAKER_17
transcript.pyannote[44].start 2055.55784375
transcript.pyannote[44].end 2060.65409375
transcript.pyannote[45].speaker SPEAKER_17
transcript.pyannote[45].start 2061.51471875
transcript.pyannote[45].end 2063.80971875
transcript.pyannote[46].speaker SPEAKER_17
transcript.pyannote[46].start 2064.26534375
transcript.pyannote[46].end 2068.72034375
transcript.pyannote[47].speaker SPEAKER_17
transcript.pyannote[47].start 2069.39534375
transcript.pyannote[47].end 2071.28534375
transcript.pyannote[48].speaker SPEAKER_17
transcript.pyannote[48].start 2071.57221875
transcript.pyannote[48].end 2073.71534375
transcript.pyannote[49].speaker SPEAKER_17
transcript.pyannote[49].start 2074.96409375
transcript.pyannote[49].end 2078.57534375
transcript.pyannote[50].speaker SPEAKER_17
transcript.pyannote[50].start 2079.53721875
transcript.pyannote[50].end 2082.82784375
transcript.pyannote[51].speaker SPEAKER_17
transcript.pyannote[51].start 2082.92909375
transcript.pyannote[51].end 2084.04284375
transcript.pyannote[52].speaker SPEAKER_17
transcript.pyannote[52].start 2084.53221875
transcript.pyannote[52].end 2085.47721875
transcript.pyannote[53].speaker SPEAKER_17
transcript.pyannote[53].start 2086.06784375
transcript.pyannote[53].end 2093.27346875
transcript.pyannote[54].speaker SPEAKER_17
transcript.pyannote[54].start 2093.81346875
transcript.pyannote[54].end 2097.00284375
transcript.pyannote[55].speaker SPEAKER_17
transcript.pyannote[55].start 2097.52596875
transcript.pyannote[55].end 2099.71971875
transcript.pyannote[56].speaker SPEAKER_17
transcript.pyannote[56].start 2100.02346875
transcript.pyannote[56].end 2106.75659375
transcript.pyannote[57].speaker SPEAKER_17
transcript.pyannote[57].start 2106.80721875
transcript.pyannote[57].end 2109.15284375
transcript.pyannote[58].speaker SPEAKER_17
transcript.pyannote[58].start 2109.25409375
transcript.pyannote[58].end 2113.57409375
transcript.pyannote[59].speaker SPEAKER_17
transcript.pyannote[59].start 2114.55284375
transcript.pyannote[59].end 2117.11784375
transcript.pyannote[60].speaker SPEAKER_17
transcript.pyannote[60].start 2117.60721875
transcript.pyannote[60].end 2124.96471875
transcript.pyannote[61].speaker SPEAKER_17
transcript.pyannote[61].start 2125.25159375
transcript.pyannote[61].end 2133.70596875
transcript.pyannote[62].speaker SPEAKER_17
transcript.pyannote[62].start 2133.79034375
transcript.pyannote[62].end 2136.32159375
transcript.pyannote[63].speaker SPEAKER_17
transcript.pyannote[63].start 2136.70971875
transcript.pyannote[63].end 2141.41784375
transcript.pyannote[64].speaker SPEAKER_17
transcript.pyannote[64].start 2142.46409375
transcript.pyannote[64].end 2145.18096875
transcript.pyannote[65].speaker SPEAKER_17
transcript.pyannote[65].start 2146.02471875
transcript.pyannote[65].end 2150.69909375
transcript.pyannote[66].speaker SPEAKER_17
transcript.pyannote[66].start 2151.47534375
transcript.pyannote[66].end 2154.29346875
transcript.pyannote[67].speaker SPEAKER_17
transcript.pyannote[67].start 2154.85034375
transcript.pyannote[67].end 2156.33534375
transcript.pyannote[68].speaker SPEAKER_17
transcript.pyannote[68].start 2156.68971875
transcript.pyannote[68].end 2157.65159375
transcript.pyannote[69].speaker SPEAKER_17
transcript.pyannote[69].start 2157.71909375
transcript.pyannote[69].end 2161.92096875
transcript.pyannote[70].speaker SPEAKER_17
transcript.pyannote[70].start 2163.13596875
transcript.pyannote[70].end 2167.00034375
transcript.pyannote[71].speaker SPEAKER_17
transcript.pyannote[71].start 2167.52346875
transcript.pyannote[71].end 2175.53909375
transcript.pyannote[72].speaker SPEAKER_17
transcript.pyannote[72].start 2176.41659375
transcript.pyannote[72].end 2181.22596875
transcript.pyannote[73].speaker SPEAKER_17
transcript.pyannote[73].start 2181.63096875
transcript.pyannote[73].end 2182.18784375
transcript.pyannote[74].speaker SPEAKER_17
transcript.pyannote[74].start 2183.53784375
transcript.pyannote[74].end 2187.55409375
transcript.pyannote[75].speaker SPEAKER_17
transcript.pyannote[75].start 2188.06034375
transcript.pyannote[75].end 2188.61721875
transcript.pyannote[76].speaker SPEAKER_17
transcript.pyannote[76].start 2188.87034375
transcript.pyannote[76].end 2193.27471875
transcript.pyannote[77].speaker SPEAKER_17
transcript.pyannote[77].start 2193.81471875
transcript.pyannote[77].end 2195.80596875
transcript.pyannote[78].speaker SPEAKER_17
transcript.pyannote[78].start 2196.41346875
transcript.pyannote[78].end 2196.88596875
transcript.pyannote[79].speaker SPEAKER_17
transcript.pyannote[79].start 2197.81409375
transcript.pyannote[79].end 2200.09221875
transcript.pyannote[80].speaker SPEAKER_17
transcript.pyannote[80].start 2200.58159375
transcript.pyannote[80].end 2203.33221875
transcript.pyannote[81].speaker SPEAKER_17
transcript.pyannote[81].start 2204.29409375
transcript.pyannote[81].end 2206.55534375
transcript.pyannote[82].speaker SPEAKER_17
transcript.pyannote[82].start 2206.57221875
transcript.pyannote[82].end 2209.49159375
transcript.pyannote[83].speaker SPEAKER_17
transcript.pyannote[83].start 2210.18346875
transcript.pyannote[83].end 2210.74034375
transcript.pyannote[84].speaker SPEAKER_17
transcript.pyannote[84].start 2210.97659375
transcript.pyannote[84].end 2218.87409375
transcript.pyannote[85].speaker SPEAKER_17
transcript.pyannote[85].start 2219.86971875
transcript.pyannote[85].end 2225.03346875
transcript.pyannote[86].speaker SPEAKER_17
transcript.pyannote[86].start 2226.11346875
transcript.pyannote[86].end 2226.92346875
transcript.pyannote[87].speaker SPEAKER_17
transcript.pyannote[87].start 2227.31159375
transcript.pyannote[87].end 2231.34471875
transcript.pyannote[88].speaker SPEAKER_17
transcript.pyannote[88].start 2232.01971875
transcript.pyannote[88].end 2232.34034375
transcript.pyannote[89].speaker SPEAKER_17
transcript.pyannote[89].start 2232.84659375
transcript.pyannote[89].end 2235.14159375
transcript.pyannote[90].speaker SPEAKER_17
transcript.pyannote[90].start 2235.79971875
transcript.pyannote[90].end 2238.01034375
transcript.pyannote[91].speaker SPEAKER_17
transcript.pyannote[91].start 2238.43221875
transcript.pyannote[91].end 2241.26721875
transcript.pyannote[92].speaker SPEAKER_17
transcript.pyannote[92].start 2241.73971875
transcript.pyannote[92].end 2245.57034375
transcript.pyannote[93].speaker SPEAKER_17
transcript.pyannote[93].start 2246.04284375
transcript.pyannote[93].end 2250.04221875
transcript.pyannote[94].speaker SPEAKER_17
transcript.pyannote[94].start 2250.32909375
transcript.pyannote[94].end 2257.19721875
transcript.pyannote[95].speaker SPEAKER_17
transcript.pyannote[95].start 2258.24346875
transcript.pyannote[95].end 2265.43221875
transcript.pyannote[96].speaker SPEAKER_17
transcript.pyannote[96].start 2265.80346875
transcript.pyannote[96].end 2268.35159375
transcript.pyannote[97].speaker SPEAKER_17
transcript.pyannote[97].start 2268.95909375
transcript.pyannote[97].end 2272.11471875
transcript.pyannote[98].speaker SPEAKER_17
transcript.pyannote[98].start 2272.43534375
transcript.pyannote[98].end 2279.50596875
transcript.pyannote[99].speaker SPEAKER_17
transcript.pyannote[99].start 2280.11346875
transcript.pyannote[99].end 2283.10034375
transcript.pyannote[100].speaker SPEAKER_17
transcript.pyannote[100].start 2284.18034375
transcript.pyannote[100].end 2285.02409375
transcript.pyannote[101].speaker SPEAKER_17
transcript.pyannote[101].start 2285.12534375
transcript.pyannote[101].end 2289.12471875
transcript.pyannote[102].speaker SPEAKER_17
transcript.pyannote[102].start 2289.93471875
transcript.pyannote[102].end 2293.84971875
transcript.pyannote[103].speaker SPEAKER_17
transcript.pyannote[103].start 2294.25471875
transcript.pyannote[103].end 2297.19096875
transcript.pyannote[104].speaker SPEAKER_17
transcript.pyannote[104].start 2298.10221875
transcript.pyannote[104].end 2301.69659375
transcript.pyannote[105].speaker SPEAKER_17
transcript.pyannote[105].start 2302.37159375
transcript.pyannote[105].end 2304.51471875
transcript.pyannote[106].speaker SPEAKER_17
transcript.pyannote[106].start 2304.76784375
transcript.pyannote[106].end 2311.38284375
transcript.pyannote[107].speaker SPEAKER_17
transcript.pyannote[107].start 2312.02409375
transcript.pyannote[107].end 2315.78721875
transcript.pyannote[108].speaker SPEAKER_17
transcript.pyannote[108].start 2316.41159375
transcript.pyannote[108].end 2319.56721875
transcript.pyannote[109].speaker SPEAKER_17
transcript.pyannote[109].start 2320.09034375
transcript.pyannote[109].end 2323.81971875
transcript.pyannote[110].speaker SPEAKER_17
transcript.pyannote[110].start 2325.00096875
transcript.pyannote[110].end 2327.56596875
transcript.pyannote[111].speaker SPEAKER_17
transcript.pyannote[111].start 2328.17346875
transcript.pyannote[111].end 2330.56971875
transcript.pyannote[112].speaker SPEAKER_17
transcript.pyannote[112].start 2330.83971875
transcript.pyannote[112].end 2333.42159375
transcript.pyannote[113].speaker SPEAKER_17
transcript.pyannote[113].start 2333.79284375
transcript.pyannote[113].end 2338.77096875
transcript.pyannote[114].speaker SPEAKER_17
transcript.pyannote[114].start 2339.46284375
transcript.pyannote[114].end 2345.75721875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 2351.86596875
transcript.pyannote[115].end 2358.86909375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 2368.08284375
transcript.pyannote[116].end 2376.28409375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 2376.68909375
transcript.pyannote[117].end 2378.68034375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 2391.08346875
transcript.pyannote[118].end 2395.67346875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 2395.94346875
transcript.pyannote[119].end 2401.64721875
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 2401.88346875
transcript.pyannote[120].end 2411.53596875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 2411.82284375
transcript.pyannote[121].end 2423.44971875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 2423.75346875
transcript.pyannote[122].end 2433.00096875
transcript.pyannote[123].speaker SPEAKER_17
transcript.pyannote[123].start 2433.77721875
transcript.pyannote[123].end 2449.79159375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 2448.28971875
transcript.pyannote[124].end 2459.20784375
transcript.pyannote[125].speaker SPEAKER_17
transcript.pyannote[125].start 2459.66346875
transcript.pyannote[125].end 2465.70471875
transcript.pyannote[126].speaker SPEAKER_17
transcript.pyannote[126].start 2465.94096875
transcript.pyannote[126].end 2468.94471875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 2467.57784375
transcript.pyannote[127].end 2489.27909375
transcript.pyannote[128].speaker SPEAKER_17
transcript.pyannote[128].start 2489.68409375
transcript.pyannote[128].end 2496.23159375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 2491.92846875
transcript.pyannote[129].end 2495.40471875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 2495.52284375
transcript.pyannote[130].end 2496.50159375
transcript.pyannote[131].speaker SPEAKER_17
transcript.pyannote[131].start 2496.50159375
transcript.pyannote[131].end 2518.62471875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 2518.54034375
transcript.pyannote[132].end 2533.64346875
transcript.pyannote[133].speaker SPEAKER_17
transcript.pyannote[133].start 2533.94721875
transcript.pyannote[133].end 2545.94534375
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 2544.86534375
transcript.pyannote[134].end 2549.42159375
transcript.pyannote[135].speaker SPEAKER_17
transcript.pyannote[135].start 2546.43471875
transcript.pyannote[135].end 2548.20659375
transcript.pyannote[136].speaker SPEAKER_17
transcript.pyannote[136].start 2549.87721875
transcript.pyannote[136].end 2555.00721875
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 2553.23534375
transcript.pyannote[137].end 2567.30909375
transcript.pyannote[138].speaker SPEAKER_17
transcript.pyannote[138].start 2567.79846875
transcript.pyannote[138].end 2609.74971875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 2609.83409375
transcript.pyannote[139].end 2619.63846875
transcript.pyannote[140].speaker SPEAKER_17
transcript.pyannote[140].start 2610.03659375
transcript.pyannote[140].end 2612.60159375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 2620.21221875
transcript.pyannote[141].end 2621.24159375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 2621.68034375
transcript.pyannote[142].end 2630.45534375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 2630.87721875
transcript.pyannote[143].end 2633.40846875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 2634.42096875
transcript.pyannote[144].end 2637.42471875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 2637.74534375
transcript.pyannote[145].end 2640.39471875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 2641.06971875
transcript.pyannote[146].end 2642.85846875
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 2643.55034375
transcript.pyannote[147].end 2649.74346875
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 2649.82784375
transcript.pyannote[148].end 2655.04221875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 2655.32909375
transcript.pyannote[149].end 2657.20221875
transcript.pyannote[150].speaker SPEAKER_17
transcript.pyannote[150].start 2657.69159375
transcript.pyannote[150].end 2660.15534375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 2659.05846875
transcript.pyannote[151].end 2664.15471875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 2664.30659375
transcript.pyannote[152].end 2665.67346875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 2666.26409375
transcript.pyannote[153].end 2669.13284375
transcript.pyannote[154].speaker SPEAKER_17
transcript.pyannote[154].start 2669.48721875
transcript.pyannote[154].end 2672.10284375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 2670.97221875
transcript.pyannote[155].end 2674.38096875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 2674.46534375
transcript.pyannote[156].end 2677.80659375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 2678.26221875
transcript.pyannote[157].end 2680.33784375
transcript.pyannote[158].speaker SPEAKER_17
transcript.pyannote[158].start 2680.64159375
transcript.pyannote[158].end 2693.01096875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 2692.30221875
transcript.pyannote[159].end 2694.37784375
transcript.pyannote[160].speaker SPEAKER_17
transcript.pyannote[160].start 2693.41596875
transcript.pyannote[160].end 2694.83346875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 2694.83346875
transcript.pyannote[161].end 2705.46471875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 2706.71346875
transcript.pyannote[162].end 2708.29971875
transcript.pyannote[163].speaker SPEAKER_17
transcript.pyannote[163].start 2708.33346875
transcript.pyannote[163].end 2729.71409375
transcript.pyannote[164].speaker SPEAKER_17
transcript.pyannote[164].start 2730.15284375
transcript.pyannote[164].end 2733.98346875
transcript.pyannote[165].speaker SPEAKER_02
transcript.pyannote[165].start 2731.78971875
transcript.pyannote[165].end 2734.75971875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 2735.18159375
transcript.pyannote[166].end 2736.83534375
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 2737.18971875
transcript.pyannote[167].end 2738.57346875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 2739.11346875
transcript.pyannote[168].end 2740.83471875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 2741.64471875
transcript.pyannote[169].end 2743.14659375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 2745.00284375
transcript.pyannote[170].end 2746.62284375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 2747.11221875
transcript.pyannote[171].end 2748.02346875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 2748.22596875
transcript.pyannote[172].end 2750.09909375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 2750.48721875
transcript.pyannote[173].end 2751.16221875
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 2751.97221875
transcript.pyannote[174].end 2752.93409375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 2753.11971875
transcript.pyannote[175].end 2754.08159375
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 2754.28409375
transcript.pyannote[176].end 2755.78596875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 2756.27534375
transcript.pyannote[177].end 2757.40596875
transcript.pyannote[178].speaker SPEAKER_02
transcript.pyannote[178].start 2757.99659375
transcript.pyannote[178].end 2758.90784375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 2759.54909375
transcript.pyannote[179].end 2760.40971875
transcript.pyannote[180].speaker SPEAKER_17
transcript.pyannote[180].start 2760.69659375
transcript.pyannote[180].end 2763.12659375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 2761.37159375
transcript.pyannote[181].end 2764.72971875
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 2765.38784375
transcript.pyannote[182].end 2766.36659375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 2766.68721875
transcript.pyannote[183].end 2772.01971875
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 2772.28971875
transcript.pyannote[184].end 2776.13721875
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 2777.26784375
transcript.pyannote[185].end 2778.24659375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 2780.47409375
transcript.pyannote[186].end 2780.71034375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 2780.91284375
transcript.pyannote[187].end 2781.77346875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 2783.20784375
transcript.pyannote[188].end 2785.82346875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 2786.86971875
transcript.pyannote[189].end 2790.63284375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 2792.65784375
transcript.pyannote[190].end 2794.88534375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 2795.34096875
transcript.pyannote[191].end 2796.50534375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 2797.19721875
transcript.pyannote[192].end 2798.24346875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 2799.66096875
transcript.pyannote[193].end 2800.70721875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 2801.12909375
transcript.pyannote[194].end 2802.09096875
transcript.pyannote[195].speaker SPEAKER_17
transcript.pyannote[195].start 2802.76596875
transcript.pyannote[195].end 2821.37909375
transcript.pyannote[196].speaker SPEAKER_17
transcript.pyannote[196].start 2821.64909375
transcript.pyannote[196].end 2826.47534375
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 2824.88909375
transcript.pyannote[197].end 2832.73596875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 2832.97221875
transcript.pyannote[198].end 2836.92096875
transcript.pyannote[199].speaker SPEAKER_10
transcript.pyannote[199].start 2835.13221875
transcript.pyannote[199].end 2835.80721875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 2835.80721875
transcript.pyannote[200].end 2835.84096875
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 2838.15284375
transcript.pyannote[201].end 2842.27034375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 2842.87784375
transcript.pyannote[202].end 2845.32471875
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 2845.67909375
transcript.pyannote[203].end 2846.86034375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 2847.01221875
transcript.pyannote[204].end 2848.14284375
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 2848.71659375
transcript.pyannote[205].end 2850.16784375
transcript.pyannote[206].speaker SPEAKER_02
transcript.pyannote[206].start 2850.85971875
transcript.pyannote[206].end 2852.12534375
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 2852.27721875
transcript.pyannote[207].end 2855.93909375
transcript.pyannote[208].speaker SPEAKER_02
transcript.pyannote[208].start 2856.46221875
transcript.pyannote[208].end 2857.59284375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 2858.55471875
transcript.pyannote[209].end 2859.33096875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 2859.80346875
transcript.pyannote[210].end 2863.46534375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 2863.60034375
transcript.pyannote[211].end 2872.59471875
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 2872.71284375
transcript.pyannote[212].end 2873.10096875
transcript.pyannote[213].speaker SPEAKER_17
transcript.pyannote[213].start 2873.92784375
transcript.pyannote[213].end 2876.64471875
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 2874.80534375
transcript.pyannote[214].end 2875.09221875
transcript.pyannote[215].speaker SPEAKER_17
transcript.pyannote[215].start 2876.99909375
transcript.pyannote[215].end 2885.47034375
transcript.pyannote[216].speaker SPEAKER_17
transcript.pyannote[216].start 2885.70659375
transcript.pyannote[216].end 2889.70596875
transcript.pyannote[217].speaker SPEAKER_17
transcript.pyannote[217].start 2890.19534375
transcript.pyannote[217].end 2897.56971875
transcript.pyannote[218].speaker SPEAKER_17
transcript.pyannote[218].start 2897.87346875
transcript.pyannote[218].end 2903.27346875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 2897.92409375
transcript.pyannote[219].end 2898.17721875
transcript.pyannote[220].speaker SPEAKER_02
transcript.pyannote[220].start 2903.27346875
transcript.pyannote[220].end 2906.80034375
transcript.pyannote[221].speaker SPEAKER_17
transcript.pyannote[221].start 2903.29034375
transcript.pyannote[221].end 2903.35784375
transcript.pyannote[222].speaker SPEAKER_17
transcript.pyannote[222].start 2903.45909375
transcript.pyannote[222].end 2905.39971875
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 2907.13784375
transcript.pyannote[223].end 2909.36534375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 2909.58471875
transcript.pyannote[224].end 2920.36784375
transcript.pyannote[225].speaker SPEAKER_17
transcript.pyannote[225].start 2920.70534375
transcript.pyannote[225].end 2924.11409375
transcript.pyannote[226].speaker SPEAKER_17
transcript.pyannote[226].start 2924.46846875
transcript.pyannote[226].end 2931.26909375
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 2929.85159375
transcript.pyannote[227].end 2932.06221875
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 2932.83846875
transcript.pyannote[228].end 2935.03221875
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 2935.06596875
transcript.pyannote[229].end 2936.28096875
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 2936.70284375
transcript.pyannote[230].end 2937.61409375
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 2937.88409375
transcript.pyannote[231].end 2938.60971875
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 2941.84971875
transcript.pyannote[232].end 2944.53284375
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 2944.98846875
transcript.pyannote[233].end 2945.35971875
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 2945.46096875
transcript.pyannote[234].end 2946.86159375
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 2946.96284375
transcript.pyannote[235].end 2952.07596875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 2952.39659375
transcript.pyannote[236].end 2954.28659375
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 2954.69159375
transcript.pyannote[237].end 2956.14284375
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 2956.73346875
transcript.pyannote[238].end 2958.97784375
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 2959.18034375
transcript.pyannote[239].end 2959.93971875
transcript.pyannote[240].speaker SPEAKER_17
transcript.pyannote[240].start 2960.58096875
transcript.pyannote[240].end 2967.28034375
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 2964.81659375
transcript.pyannote[241].end 2970.92534375
transcript.pyannote[242].speaker SPEAKER_17
transcript.pyannote[242].start 2971.22909375
transcript.pyannote[242].end 2975.04284375
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 2974.13159375
transcript.pyannote[243].end 2975.27909375
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 2975.48159375
transcript.pyannote[244].end 2976.78096875
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 2977.20284375
transcript.pyannote[245].end 2983.26096875
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 2983.46346875
transcript.pyannote[246].end 2984.52659375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 2984.89784375
transcript.pyannote[247].end 2985.74159375
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 2986.19721875
transcript.pyannote[248].end 2987.66534375
transcript.pyannote[249].speaker SPEAKER_02
transcript.pyannote[249].start 2988.03659375
transcript.pyannote[249].end 2990.31471875
transcript.pyannote[250].speaker SPEAKER_02
transcript.pyannote[250].start 2990.88846875
transcript.pyannote[250].end 3025.46534375
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 3025.61721875
transcript.pyannote[251].end 3027.03471875
transcript.pyannote[252].speaker SPEAKER_02
transcript.pyannote[252].start 3027.06846875
transcript.pyannote[252].end 3028.90784375
transcript.pyannote[253].speaker SPEAKER_02
transcript.pyannote[253].start 3029.27909375
transcript.pyannote[253].end 3031.37159375
transcript.pyannote[254].speaker SPEAKER_02
transcript.pyannote[254].start 3031.55721875
transcript.pyannote[254].end 3034.67909375
transcript.pyannote[255].speaker SPEAKER_02
transcript.pyannote[255].start 3034.96596875
transcript.pyannote[255].end 3035.99534375
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 3036.46784375
transcript.pyannote[256].end 3038.79659375
transcript.pyannote[257].speaker SPEAKER_02
transcript.pyannote[257].start 3039.01596875
transcript.pyannote[257].end 3039.74159375
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 3040.11284375
transcript.pyannote[258].end 3041.76659375
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 3042.37409375
transcript.pyannote[259].end 3044.73659375
transcript.pyannote[260].speaker SPEAKER_02
transcript.pyannote[260].start 3045.29346875
transcript.pyannote[260].end 3051.53721875
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 3052.24596875
transcript.pyannote[261].end 3056.71784375
transcript.pyannote[262].speaker SPEAKER_02
transcript.pyannote[262].start 3057.64596875
transcript.pyannote[262].end 3060.59909375
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 3061.02096875
transcript.pyannote[263].end 3061.03784375
transcript.pyannote[264].speaker SPEAKER_02
transcript.pyannote[264].start 3061.05471875
transcript.pyannote[264].end 3063.02909375
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 3063.24846875
transcript.pyannote[265].end 3066.52221875
transcript.pyannote[266].speaker SPEAKER_02
transcript.pyannote[266].start 3066.58971875
transcript.pyannote[266].end 3067.23096875
transcript.pyannote[267].speaker SPEAKER_17
transcript.pyannote[267].start 3067.68659375
transcript.pyannote[267].end 3068.22659375
transcript.pyannote[268].speaker SPEAKER_17
transcript.pyannote[268].start 3068.58096875
transcript.pyannote[268].end 3082.65471875
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 3080.59596875
transcript.pyannote[269].end 3085.57409375
transcript.pyannote[270].speaker SPEAKER_17
transcript.pyannote[270].start 3083.53221875
transcript.pyannote[270].end 3084.37596875
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 3085.72596875
transcript.pyannote[271].end 3090.36659375
transcript.pyannote[272].speaker SPEAKER_17
transcript.pyannote[272].start 3090.83909375
transcript.pyannote[272].end 3102.87096875
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 3099.68159375
transcript.pyannote[273].end 3110.90346875
transcript.pyannote[274].speaker SPEAKER_17
transcript.pyannote[274].start 3107.84909375
transcript.pyannote[274].end 3108.64221875
transcript.pyannote[275].speaker SPEAKER_17
transcript.pyannote[275].start 3111.79784375
transcript.pyannote[275].end 3119.13846875
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 3112.35471875
transcript.pyannote[276].end 3112.37159375
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 3112.38846875
transcript.pyannote[277].end 3113.82284375
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 3114.43034375
transcript.pyannote[278].end 3115.18971875
transcript.pyannote[279].speaker SPEAKER_17
transcript.pyannote[279].start 3119.96534375
transcript.pyannote[279].end 3135.92909375
transcript.pyannote[280].speaker SPEAKER_02
transcript.pyannote[280].start 3133.33034375
transcript.pyannote[280].end 3145.02471875
transcript.pyannote[281].speaker SPEAKER_17
transcript.pyannote[281].start 3136.21596875
transcript.pyannote[281].end 3136.70534375
transcript.pyannote[282].speaker SPEAKER_17
transcript.pyannote[282].start 3145.31159375
transcript.pyannote[282].end 3148.63596875
transcript.pyannote[283].speaker SPEAKER_17
transcript.pyannote[283].start 3149.24346875
transcript.pyannote[283].end 3150.84659375
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 3149.54721875
transcript.pyannote[284].end 3156.44909375
transcript.pyannote[285].speaker SPEAKER_17
transcript.pyannote[285].start 3156.66846875
transcript.pyannote[285].end 3162.38909375
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 3159.50346875
transcript.pyannote[286].end 3167.36721875
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 3167.78909375
transcript.pyannote[287].end 3172.44659375
transcript.pyannote[288].speaker SPEAKER_17
transcript.pyannote[288].start 3167.97471875
transcript.pyannote[288].end 3168.39659375
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 3172.96971875
transcript.pyannote[289].end 3176.91846875
transcript.pyannote[290].speaker SPEAKER_17
transcript.pyannote[290].start 3173.29034375
transcript.pyannote[290].end 3174.77534375
transcript.pyannote[291].speaker SPEAKER_17
transcript.pyannote[291].start 3177.35721875
transcript.pyannote[291].end 3190.18221875
transcript.pyannote[292].speaker SPEAKER_02
transcript.pyannote[292].start 3185.77784375
transcript.pyannote[292].end 3185.96346875
transcript.pyannote[293].speaker SPEAKER_17
transcript.pyannote[293].start 3190.73909375
transcript.pyannote[293].end 3190.77284375
transcript.pyannote[294].speaker SPEAKER_02
transcript.pyannote[294].start 3190.77284375
transcript.pyannote[294].end 3190.78971875
transcript.pyannote[295].speaker SPEAKER_17
transcript.pyannote[295].start 3190.78971875
transcript.pyannote[295].end 3192.46034375
transcript.pyannote[296].speaker SPEAKER_02
transcript.pyannote[296].start 3191.58284375
transcript.pyannote[296].end 3194.16471875
transcript.pyannote[297].speaker SPEAKER_02
transcript.pyannote[297].start 3194.51909375
transcript.pyannote[297].end 3194.62034375
transcript.pyannote[298].speaker SPEAKER_17
transcript.pyannote[298].start 3194.62034375
transcript.pyannote[298].end 3200.08784375
transcript.pyannote[299].speaker SPEAKER_17
transcript.pyannote[299].start 3200.45909375
transcript.pyannote[299].end 3203.51346875
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 3200.94846875
transcript.pyannote[300].end 3201.53909375
transcript.pyannote[301].speaker SPEAKER_02
transcript.pyannote[301].start 3201.92721875
transcript.pyannote[301].end 3203.91846875
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 3204.39096875
transcript.pyannote[302].end 3205.72409375
transcript.pyannote[303].speaker SPEAKER_02
transcript.pyannote[303].start 3205.94346875
transcript.pyannote[303].end 3216.77721875
transcript.pyannote[304].speaker SPEAKER_17
transcript.pyannote[304].start 3206.02784375
transcript.pyannote[304].end 3206.66909375
transcript.pyannote[305].speaker SPEAKER_02
transcript.pyannote[305].start 3217.26659375
transcript.pyannote[305].end 3218.93721875
transcript.pyannote[306].speaker SPEAKER_02
transcript.pyannote[306].start 3219.32534375
transcript.pyannote[306].end 3222.91971875
transcript.pyannote[307].speaker SPEAKER_02
transcript.pyannote[307].start 3223.18971875
transcript.pyannote[307].end 3223.61159375
transcript.pyannote[308].speaker SPEAKER_17
transcript.pyannote[308].start 3223.29096875
transcript.pyannote[308].end 3225.26534375
transcript.pyannote[309].speaker SPEAKER_17
transcript.pyannote[309].start 3225.33284375
transcript.pyannote[309].end 3228.35346875
transcript.pyannote[310].speaker SPEAKER_17
transcript.pyannote[310].start 3229.28159375
transcript.pyannote[310].end 3230.86784375
transcript.pyannote[311].speaker SPEAKER_02
transcript.pyannote[311].start 3231.27284375
transcript.pyannote[311].end 3235.25534375
transcript.pyannote[312].speaker SPEAKER_17
transcript.pyannote[312].start 3231.34034375
transcript.pyannote[312].end 3232.11659375
transcript.pyannote[313].speaker SPEAKER_02
transcript.pyannote[313].start 3235.81221875
transcript.pyannote[313].end 3236.72346875
transcript.pyannote[314].speaker SPEAKER_02
transcript.pyannote[314].start 3237.68534375
transcript.pyannote[314].end 3239.62596875
transcript.pyannote[315].speaker SPEAKER_02
transcript.pyannote[315].start 3240.35159375
transcript.pyannote[315].end 3242.61284375
transcript.pyannote[316].speaker SPEAKER_17
transcript.pyannote[316].start 3243.55784375
transcript.pyannote[316].end 3251.72534375
transcript.pyannote[317].speaker SPEAKER_02
transcript.pyannote[317].start 3249.00846875
transcript.pyannote[317].end 3274.75971875
transcript.pyannote[318].speaker SPEAKER_02
transcript.pyannote[318].start 3275.04659375
transcript.pyannote[318].end 3278.23596875
transcript.pyannote[319].speaker SPEAKER_02
transcript.pyannote[319].start 3278.97846875
transcript.pyannote[319].end 3303.17721875
transcript.pyannote[320].speaker SPEAKER_02
transcript.pyannote[320].start 3303.98721875
transcript.pyannote[320].end 3305.65784375
transcript.pyannote[321].speaker SPEAKER_02
transcript.pyannote[321].start 3305.77596875
transcript.pyannote[321].end 3307.07534375
transcript.pyannote[322].speaker SPEAKER_02
transcript.pyannote[322].start 3307.14284375
transcript.pyannote[322].end 3309.97784375
transcript.pyannote[323].speaker SPEAKER_02
transcript.pyannote[323].start 3310.29846875
transcript.pyannote[323].end 3318.43221875
transcript.pyannote[324].speaker SPEAKER_02
transcript.pyannote[324].start 3318.73596875
transcript.pyannote[324].end 3333.34971875
transcript.pyannote[325].speaker SPEAKER_17
transcript.pyannote[325].start 3333.77159375
transcript.pyannote[325].end 3343.32284375
transcript.pyannote[326].speaker SPEAKER_02
transcript.pyannote[326].start 3340.25159375
transcript.pyannote[326].end 3348.73971875
transcript.pyannote[327].speaker SPEAKER_02
transcript.pyannote[327].start 3349.21221875
transcript.pyannote[327].end 3349.85346875
transcript.pyannote[328].speaker SPEAKER_02
transcript.pyannote[328].start 3350.08971875
transcript.pyannote[328].end 3353.17784375
transcript.pyannote[329].speaker SPEAKER_17
transcript.pyannote[329].start 3353.17784375
transcript.pyannote[329].end 3361.71659375
transcript.pyannote[330].speaker SPEAKER_02
transcript.pyannote[330].start 3359.94471875
transcript.pyannote[330].end 3366.00284375
transcript.pyannote[331].speaker SPEAKER_02
transcript.pyannote[331].start 3366.81284375
transcript.pyannote[331].end 3370.93034375
transcript.pyannote[332].speaker SPEAKER_02
transcript.pyannote[332].start 3371.68971875
transcript.pyannote[332].end 3373.81596875
transcript.pyannote[333].speaker SPEAKER_02
transcript.pyannote[333].start 3374.25471875
transcript.pyannote[333].end 3376.49909375
transcript.pyannote[334].speaker SPEAKER_02
transcript.pyannote[334].start 3376.83659375
transcript.pyannote[334].end 3378.45659375
transcript.pyannote[335].speaker SPEAKER_17
transcript.pyannote[335].start 3379.45221875
transcript.pyannote[335].end 3380.17784375
transcript.pyannote[336].speaker SPEAKER_02
transcript.pyannote[336].start 3379.92471875
transcript.pyannote[336].end 3380.12721875
transcript.pyannote[337].speaker SPEAKER_02
transcript.pyannote[337].start 3380.17784375
transcript.pyannote[337].end 3380.27909375
transcript.pyannote[338].speaker SPEAKER_02
transcript.pyannote[338].start 3380.32971875
transcript.pyannote[338].end 3392.34471875
transcript.pyannote[339].speaker SPEAKER_02
transcript.pyannote[339].start 3392.49659375
transcript.pyannote[339].end 3393.35721875
transcript.pyannote[340].speaker SPEAKER_17
transcript.pyannote[340].start 3393.50909375
transcript.pyannote[340].end 3395.85471875
transcript.pyannote[341].speaker SPEAKER_02
transcript.pyannote[341].start 3394.08284375
transcript.pyannote[341].end 3399.34784375
transcript.pyannote[342].speaker SPEAKER_03
transcript.pyannote[342].start 3396.25971875
transcript.pyannote[342].end 3396.66471875
transcript.pyannote[343].speaker SPEAKER_02
transcript.pyannote[343].start 3399.44909375
transcript.pyannote[343].end 3439.72971875
transcript.pyannote[344].speaker SPEAKER_02
transcript.pyannote[344].start 3440.10096875
transcript.pyannote[344].end 3443.76284375
transcript.pyannote[345].speaker SPEAKER_02
transcript.pyannote[345].start 3443.96534375
transcript.pyannote[345].end 3444.70784375
transcript.pyannote[346].speaker SPEAKER_02
transcript.pyannote[346].start 3445.23096875
transcript.pyannote[346].end 3446.80034375
transcript.pyannote[347].speaker SPEAKER_02
transcript.pyannote[347].start 3447.22221875
transcript.pyannote[347].end 3452.33534375
transcript.pyannote[348].speaker SPEAKER_02
transcript.pyannote[348].start 3453.43221875
transcript.pyannote[348].end 3458.57909375
transcript.pyannote[349].speaker SPEAKER_02
transcript.pyannote[349].start 3459.25409375
transcript.pyannote[349].end 3459.92909375
transcript.pyannote[350].speaker SPEAKER_02
transcript.pyannote[350].start 3460.45221875
transcript.pyannote[350].end 3465.95346875
transcript.pyannote[351].speaker SPEAKER_17
transcript.pyannote[351].start 3467.10096875
transcript.pyannote[351].end 3471.55596875
transcript.pyannote[352].speaker SPEAKER_02
transcript.pyannote[352].start 3470.71221875
transcript.pyannote[352].end 3474.23909375
transcript.pyannote[353].speaker SPEAKER_17
transcript.pyannote[353].start 3472.07909375
transcript.pyannote[353].end 3476.43284375
transcript.pyannote[354].speaker SPEAKER_02
transcript.pyannote[354].start 3475.42034375
transcript.pyannote[354].end 3478.93034375
transcript.pyannote[355].speaker SPEAKER_17
transcript.pyannote[355].start 3479.04846875
transcript.pyannote[355].end 3486.40596875
transcript.pyannote[356].speaker SPEAKER_02
transcript.pyannote[356].start 3482.86221875
transcript.pyannote[356].end 3483.94221875
transcript.pyannote[357].speaker SPEAKER_02
transcript.pyannote[357].start 3486.50721875
transcript.pyannote[357].end 3491.58659375
transcript.pyannote[358].speaker SPEAKER_02
transcript.pyannote[358].start 3491.95784375
transcript.pyannote[358].end 3496.29471875
transcript.pyannote[359].speaker SPEAKER_17
transcript.pyannote[359].start 3496.49721875
transcript.pyannote[359].end 3506.30159375
transcript.pyannote[360].speaker SPEAKER_02
transcript.pyannote[360].start 3505.40721875
transcript.pyannote[360].end 3510.26721875
transcript.pyannote[361].speaker SPEAKER_10
transcript.pyannote[361].start 3510.33471875
transcript.pyannote[361].end 3510.35159375
transcript.pyannote[362].speaker SPEAKER_17
transcript.pyannote[362].start 3510.35159375
transcript.pyannote[362].end 3510.36846875
transcript.pyannote[363].speaker SPEAKER_10
transcript.pyannote[363].start 3510.36846875
transcript.pyannote[363].end 3510.38534375
transcript.pyannote[364].speaker SPEAKER_17
transcript.pyannote[364].start 3510.38534375
transcript.pyannote[364].end 3510.48659375
transcript.pyannote[365].speaker SPEAKER_10
transcript.pyannote[365].start 3510.48659375
transcript.pyannote[365].end 3510.53721875
transcript.pyannote[366].speaker SPEAKER_17
transcript.pyannote[366].start 3510.53721875
transcript.pyannote[366].end 3510.57096875
transcript.pyannote[367].speaker SPEAKER_02
transcript.pyannote[367].start 3510.57096875
transcript.pyannote[367].end 3512.30909375
transcript.pyannote[368].speaker SPEAKER_17
transcript.pyannote[368].start 3510.58784375
transcript.pyannote[368].end 3510.97596875
transcript.pyannote[369].speaker SPEAKER_10
transcript.pyannote[369].start 3510.97596875
transcript.pyannote[369].end 3511.34721875
transcript.pyannote[370].speaker SPEAKER_17
transcript.pyannote[370].start 3511.34721875
transcript.pyannote[370].end 3511.38096875
transcript.pyannote[371].speaker SPEAKER_02
transcript.pyannote[371].start 3512.51159375
transcript.pyannote[371].end 3516.81471875
transcript.pyannote[372].speaker SPEAKER_02
transcript.pyannote[372].start 3517.13534375
transcript.pyannote[372].end 3523.07534375
transcript.pyannote[373].speaker SPEAKER_17
transcript.pyannote[373].start 3524.17221875
transcript.pyannote[373].end 3524.18909375
transcript.pyannote[374].speaker SPEAKER_02
transcript.pyannote[374].start 3524.59409375
transcript.pyannote[374].end 3534.68534375
transcript.pyannote[375].speaker SPEAKER_17
transcript.pyannote[375].start 3535.24221875
transcript.pyannote[375].end 3547.74659375
transcript.pyannote[376].speaker SPEAKER_02
transcript.pyannote[376].start 3548.35409375
transcript.pyannote[376].end 3548.38784375
transcript.pyannote[377].speaker SPEAKER_17
transcript.pyannote[377].start 3549.41721875
transcript.pyannote[377].end 3551.05409375
transcript.pyannote[378].speaker SPEAKER_02
transcript.pyannote[378].start 3550.24409375
transcript.pyannote[378].end 3551.93159375
transcript.pyannote[379].speaker SPEAKER_02
transcript.pyannote[379].start 3552.35346875
transcript.pyannote[379].end 3554.63159375
transcript.pyannote[380].speaker SPEAKER_02
transcript.pyannote[380].start 3554.86784375
transcript.pyannote[380].end 3563.47409375
transcript.pyannote[381].speaker SPEAKER_02
transcript.pyannote[381].start 3564.08159375
transcript.pyannote[381].end 3566.32596875
transcript.pyannote[382].speaker SPEAKER_02
transcript.pyannote[382].start 3566.79846875
transcript.pyannote[382].end 3567.62534375
transcript.pyannote[383].speaker SPEAKER_02
transcript.pyannote[383].start 3568.65471875
transcript.pyannote[383].end 3570.03846875
transcript.pyannote[384].speaker SPEAKER_02
transcript.pyannote[384].start 3571.28721875
transcript.pyannote[384].end 3572.65409375
transcript.pyannote[385].speaker SPEAKER_02
transcript.pyannote[385].start 3573.58221875
transcript.pyannote[385].end 3574.91534375
transcript.pyannote[386].speaker SPEAKER_02
transcript.pyannote[386].start 3575.62409375
transcript.pyannote[386].end 3577.96971875
transcript.pyannote[387].speaker SPEAKER_02
transcript.pyannote[387].start 3579.15096875
transcript.pyannote[387].end 3579.97784375
transcript.pyannote[388].speaker SPEAKER_17
transcript.pyannote[388].start 3580.61909375
transcript.pyannote[388].end 3589.44471875
transcript.pyannote[389].speaker SPEAKER_02
transcript.pyannote[389].start 3588.36471875
transcript.pyannote[389].end 3591.68909375
transcript.pyannote[390].speaker SPEAKER_01
transcript.pyannote[390].start 3600.46409375
transcript.pyannote[390].end 3605.74596875
transcript.pyannote[391].speaker SPEAKER_00
transcript.pyannote[391].start 3636.61034375
transcript.pyannote[391].end 3638.51721875
transcript.pyannote[392].speaker SPEAKER_00
transcript.pyannote[392].start 3639.05721875
transcript.pyannote[392].end 3640.87971875
transcript.pyannote[393].speaker SPEAKER_00
transcript.pyannote[393].start 3651.39284375
transcript.pyannote[393].end 3652.10159375
transcript.pyannote[394].speaker SPEAKER_00
transcript.pyannote[394].start 3653.35034375
transcript.pyannote[394].end 3654.02534375
transcript.pyannote[395].speaker SPEAKER_00
transcript.pyannote[395].start 3654.24471875
transcript.pyannote[395].end 3657.87284375
transcript.pyannote[396].speaker SPEAKER_00
transcript.pyannote[396].start 3658.56471875
transcript.pyannote[396].end 3659.91471875
transcript.pyannote[397].speaker SPEAKER_00
transcript.pyannote[397].start 3661.06221875
transcript.pyannote[397].end 3663.30659375
transcript.pyannote[398].speaker SPEAKER_00
transcript.pyannote[398].start 3663.88034375
transcript.pyannote[398].end 3664.69034375
transcript.pyannote[399].speaker SPEAKER_00
transcript.pyannote[399].start 3665.34846875
transcript.pyannote[399].end 3666.17534375
transcript.pyannote[400].speaker SPEAKER_00
transcript.pyannote[400].start 3667.03596875
transcript.pyannote[400].end 3668.31846875
transcript.pyannote[401].speaker SPEAKER_00
transcript.pyannote[401].start 3668.50409375
transcript.pyannote[401].end 3671.71034375
transcript.pyannote[402].speaker SPEAKER_00
transcript.pyannote[402].start 3672.09846875
transcript.pyannote[402].end 3673.46534375
transcript.pyannote[403].speaker SPEAKER_00
transcript.pyannote[403].start 3673.83659375
transcript.pyannote[403].end 3674.79846875
transcript.pyannote[404].speaker SPEAKER_00
transcript.pyannote[404].start 3675.25409375
transcript.pyannote[404].end 3678.29159375
transcript.pyannote[405].speaker SPEAKER_00
transcript.pyannote[405].start 3679.48971875
transcript.pyannote[405].end 3682.78034375
transcript.pyannote[406].speaker SPEAKER_00
transcript.pyannote[406].start 3683.16846875
transcript.pyannote[406].end 3688.07909375
transcript.pyannote[407].speaker SPEAKER_00
transcript.pyannote[407].start 3688.14659375
transcript.pyannote[407].end 3690.18846875
transcript.pyannote[408].speaker SPEAKER_00
transcript.pyannote[408].start 3690.66096875
transcript.pyannote[408].end 3698.89596875
transcript.pyannote[409].speaker SPEAKER_00
transcript.pyannote[409].start 3699.38534375
transcript.pyannote[409].end 3704.34659375
transcript.pyannote[410].speaker SPEAKER_00
transcript.pyannote[410].start 3704.75159375
transcript.pyannote[410].end 3707.95784375
transcript.pyannote[411].speaker SPEAKER_00
transcript.pyannote[411].start 3709.47659375
transcript.pyannote[411].end 3710.32034375
transcript.pyannote[412].speaker SPEAKER_00
transcript.pyannote[412].start 3710.69159375
transcript.pyannote[412].end 3711.26534375
transcript.pyannote[413].speaker SPEAKER_00
transcript.pyannote[413].start 3711.43409375
transcript.pyannote[413].end 3713.86409375
transcript.pyannote[414].speaker SPEAKER_00
transcript.pyannote[414].start 3714.23534375
transcript.pyannote[414].end 3715.60221875
transcript.pyannote[415].speaker SPEAKER_00
transcript.pyannote[415].start 3716.12534375
transcript.pyannote[415].end 3719.60159375
transcript.pyannote[416].speaker SPEAKER_00
transcript.pyannote[416].start 3720.36096875
transcript.pyannote[416].end 3723.66846875
transcript.pyannote[417].speaker SPEAKER_00
transcript.pyannote[417].start 3724.37721875
transcript.pyannote[417].end 3729.74346875
transcript.pyannote[418].speaker SPEAKER_00
transcript.pyannote[418].start 3730.09784375
transcript.pyannote[418].end 3731.93721875
transcript.pyannote[419].speaker SPEAKER_00
transcript.pyannote[419].start 3732.47721875
transcript.pyannote[419].end 3735.26159375
transcript.pyannote[420].speaker SPEAKER_00
transcript.pyannote[420].start 3736.13909375
transcript.pyannote[420].end 3738.04596875
transcript.pyannote[421].speaker SPEAKER_17
transcript.pyannote[421].start 3738.88971875
transcript.pyannote[421].end 3745.92659375
transcript.pyannote[422].speaker SPEAKER_00
transcript.pyannote[422].start 3742.93971875
transcript.pyannote[422].end 3743.14221875
transcript.pyannote[423].speaker SPEAKER_17
transcript.pyannote[423].start 3745.97721875
transcript.pyannote[423].end 3746.12909375
transcript.pyannote[424].speaker SPEAKER_17
transcript.pyannote[424].start 3746.19659375
transcript.pyannote[424].end 3753.77346875
transcript.pyannote[425].speaker SPEAKER_00
transcript.pyannote[425].start 3753.30096875
transcript.pyannote[425].end 3754.41471875
transcript.pyannote[426].speaker SPEAKER_17
transcript.pyannote[426].start 3754.41471875
transcript.pyannote[426].end 3758.09346875
transcript.pyannote[427].speaker SPEAKER_17
transcript.pyannote[427].start 3758.46471875
transcript.pyannote[427].end 3760.79346875
transcript.pyannote[428].speaker SPEAKER_16
transcript.pyannote[428].start 3761.56971875
transcript.pyannote[428].end 3761.70471875
transcript.pyannote[429].speaker SPEAKER_17
transcript.pyannote[429].start 3761.70471875
transcript.pyannote[429].end 3761.72159375
transcript.pyannote[430].speaker SPEAKER_17
transcript.pyannote[430].start 3761.89034375
transcript.pyannote[430].end 3769.02846875
transcript.pyannote[431].speaker SPEAKER_16
transcript.pyannote[431].start 3762.31221875
transcript.pyannote[431].end 3762.41346875
transcript.pyannote[432].speaker SPEAKER_10
transcript.pyannote[432].start 3767.37471875
transcript.pyannote[432].end 3767.39159375
transcript.pyannote[433].speaker SPEAKER_00
transcript.pyannote[433].start 3767.39159375
transcript.pyannote[433].end 3769.01159375
transcript.pyannote[434].speaker SPEAKER_00
transcript.pyannote[434].start 3769.02846875
transcript.pyannote[434].end 3769.23096875
transcript.pyannote[435].speaker SPEAKER_17
transcript.pyannote[435].start 3769.23096875
transcript.pyannote[435].end 3769.24784375
transcript.pyannote[436].speaker SPEAKER_00
transcript.pyannote[436].start 3769.24784375
transcript.pyannote[436].end 3769.39971875
transcript.pyannote[437].speaker SPEAKER_10
transcript.pyannote[437].start 3769.39971875
transcript.pyannote[437].end 3769.46721875
transcript.pyannote[438].speaker SPEAKER_00
transcript.pyannote[438].start 3769.46721875
transcript.pyannote[438].end 3769.53471875
transcript.pyannote[439].speaker SPEAKER_17
transcript.pyannote[439].start 3769.92284375
transcript.pyannote[439].end 3769.93971875
transcript.pyannote[440].speaker SPEAKER_00
transcript.pyannote[440].start 3769.93971875
transcript.pyannote[440].end 3774.02346875
transcript.pyannote[441].speaker SPEAKER_00
transcript.pyannote[441].start 3775.12034375
transcript.pyannote[441].end 3776.40284375
transcript.pyannote[442].speaker SPEAKER_00
transcript.pyannote[442].start 3777.53346875
transcript.pyannote[442].end 3778.84971875
transcript.pyannote[443].speaker SPEAKER_00
transcript.pyannote[443].start 3779.64284375
transcript.pyannote[443].end 3781.53284375
transcript.pyannote[444].speaker SPEAKER_17
transcript.pyannote[444].start 3781.53284375
transcript.pyannote[444].end 3782.25846875
transcript.pyannote[445].speaker SPEAKER_00
transcript.pyannote[445].start 3781.71846875
transcript.pyannote[445].end 3792.28221875
transcript.pyannote[446].speaker SPEAKER_00
transcript.pyannote[446].start 3792.95721875
transcript.pyannote[446].end 3796.45034375
transcript.pyannote[447].speaker SPEAKER_00
transcript.pyannote[447].start 3797.24346875
transcript.pyannote[447].end 3799.89284375
transcript.pyannote[448].speaker SPEAKER_00
transcript.pyannote[448].start 3800.06159375
transcript.pyannote[448].end 3801.02346875
transcript.pyannote[449].speaker SPEAKER_00
transcript.pyannote[449].start 3801.39471875
transcript.pyannote[449].end 3802.60971875
transcript.pyannote[450].speaker SPEAKER_00
transcript.pyannote[450].start 3804.12846875
transcript.pyannote[450].end 3805.02284375
transcript.pyannote[451].speaker SPEAKER_00
transcript.pyannote[451].start 3805.76534375
transcript.pyannote[451].end 3806.65971875
transcript.pyannote[452].speaker SPEAKER_00
transcript.pyannote[452].start 3807.14909375
transcript.pyannote[452].end 3808.65096875
transcript.pyannote[453].speaker SPEAKER_00
transcript.pyannote[453].start 3811.09784375
transcript.pyannote[453].end 3812.63346875
transcript.pyannote[454].speaker SPEAKER_00
transcript.pyannote[454].start 3813.37596875
transcript.pyannote[454].end 3814.00034375
transcript.pyannote[455].speaker SPEAKER_00
transcript.pyannote[455].start 3814.47284375
transcript.pyannote[455].end 3815.58659375
transcript.pyannote[456].speaker SPEAKER_00
transcript.pyannote[456].start 3816.19409375
transcript.pyannote[456].end 3817.76346875
transcript.pyannote[457].speaker SPEAKER_00
transcript.pyannote[457].start 3818.67471875
transcript.pyannote[457].end 3820.31159375
transcript.pyannote[458].speaker SPEAKER_00
transcript.pyannote[458].start 3820.96971875
transcript.pyannote[458].end 3821.89784375
transcript.pyannote[459].speaker SPEAKER_00
transcript.pyannote[459].start 3822.13409375
transcript.pyannote[459].end 3823.72034375
transcript.pyannote[460].speaker SPEAKER_00
transcript.pyannote[460].start 3824.54721875
transcript.pyannote[460].end 3825.89721875
transcript.pyannote[461].speaker SPEAKER_00
transcript.pyannote[461].start 3827.53409375
transcript.pyannote[461].end 3829.25534375
transcript.pyannote[462].speaker SPEAKER_00
transcript.pyannote[462].start 3831.41534375
transcript.pyannote[462].end 3832.66409375
transcript.pyannote[463].speaker SPEAKER_00
transcript.pyannote[463].start 3834.28409375
transcript.pyannote[463].end 3835.88721875
transcript.pyannote[464].speaker SPEAKER_00
transcript.pyannote[464].start 3837.20346875
transcript.pyannote[464].end 3838.45221875
transcript.pyannote[465].speaker SPEAKER_00
transcript.pyannote[465].start 3838.55346875
transcript.pyannote[465].end 3840.29159375
transcript.pyannote[466].speaker SPEAKER_00
transcript.pyannote[466].start 3841.18596875
transcript.pyannote[466].end 3842.41784375
transcript.pyannote[467].speaker SPEAKER_00
transcript.pyannote[467].start 3842.73846875
transcript.pyannote[467].end 3843.83534375
transcript.pyannote[468].speaker SPEAKER_17
transcript.pyannote[468].start 3844.84784375
transcript.pyannote[468].end 3874.02471875
transcript.pyannote[469].speaker SPEAKER_00
transcript.pyannote[469].start 3864.32159375
transcript.pyannote[469].end 3864.57471875
transcript.pyannote[470].speaker SPEAKER_00
transcript.pyannote[470].start 3872.69159375
transcript.pyannote[470].end 3875.02034375
transcript.pyannote[471].speaker SPEAKER_00
transcript.pyannote[471].start 3876.28596875
transcript.pyannote[471].end 3879.13784375
transcript.pyannote[472].speaker SPEAKER_17
transcript.pyannote[472].start 3877.36596875
transcript.pyannote[472].end 3878.47971875
transcript.pyannote[473].speaker SPEAKER_00
transcript.pyannote[473].start 3879.98159375
transcript.pyannote[473].end 3881.88846875
transcript.pyannote[474].speaker SPEAKER_00
transcript.pyannote[474].start 3882.91784375
transcript.pyannote[474].end 3883.79534375
transcript.pyannote[475].speaker SPEAKER_00
transcript.pyannote[475].start 3884.30159375
transcript.pyannote[475].end 3885.12846875
transcript.pyannote[476].speaker SPEAKER_00
transcript.pyannote[476].start 3885.75284375
transcript.pyannote[476].end 3887.76096875
transcript.pyannote[477].speaker SPEAKER_00
transcript.pyannote[477].start 3888.65534375
transcript.pyannote[477].end 3889.46534375
transcript.pyannote[478].speaker SPEAKER_00
transcript.pyannote[478].start 3890.02221875
transcript.pyannote[478].end 3890.46096875
transcript.pyannote[479].speaker SPEAKER_00
transcript.pyannote[479].start 3890.61284375
transcript.pyannote[479].end 3891.86159375
transcript.pyannote[480].speaker SPEAKER_00
transcript.pyannote[480].start 3892.41846875
transcript.pyannote[480].end 3893.26221875
transcript.pyannote[481].speaker SPEAKER_00
transcript.pyannote[481].start 3894.98346875
transcript.pyannote[481].end 3895.69221875
transcript.pyannote[482].speaker SPEAKER_00
transcript.pyannote[482].start 3895.97909375
transcript.pyannote[482].end 3897.31221875
transcript.pyannote[483].speaker SPEAKER_00
transcript.pyannote[483].start 3897.39659375
transcript.pyannote[483].end 3898.52721875
transcript.pyannote[484].speaker SPEAKER_00
transcript.pyannote[484].start 3898.79721875
transcript.pyannote[484].end 3899.87721875
transcript.pyannote[485].speaker SPEAKER_00
transcript.pyannote[485].start 3900.87284375
transcript.pyannote[485].end 3902.18909375
transcript.pyannote[486].speaker SPEAKER_00
transcript.pyannote[486].start 3902.86409375
transcript.pyannote[486].end 3903.50534375
transcript.pyannote[487].speaker SPEAKER_00
transcript.pyannote[487].start 3904.26471875
transcript.pyannote[487].end 3905.85096875
transcript.pyannote[488].speaker SPEAKER_17
transcript.pyannote[488].start 3907.28534375
transcript.pyannote[488].end 3913.12409375
transcript.pyannote[489].speaker SPEAKER_17
transcript.pyannote[489].start 3913.52909375
transcript.pyannote[489].end 3920.26221875
transcript.pyannote[490].speaker SPEAKER_10
transcript.pyannote[490].start 3918.38909375
transcript.pyannote[490].end 3918.42284375
transcript.pyannote[491].speaker SPEAKER_17
transcript.pyannote[491].start 3920.27909375
transcript.pyannote[491].end 3924.19409375
transcript.pyannote[492].speaker SPEAKER_17
transcript.pyannote[492].start 3924.27846875
transcript.pyannote[492].end 3944.32596875
transcript.pyannote[493].speaker SPEAKER_00
transcript.pyannote[493].start 3943.75221875
transcript.pyannote[493].end 3947.29596875
transcript.pyannote[494].speaker SPEAKER_00
transcript.pyannote[494].start 3948.24096875
transcript.pyannote[494].end 3953.25284375
transcript.pyannote[495].speaker SPEAKER_00
transcript.pyannote[495].start 3953.52284375
transcript.pyannote[495].end 3954.97409375
transcript.pyannote[496].speaker SPEAKER_00
transcript.pyannote[496].start 3955.69971875
transcript.pyannote[496].end 3957.70784375
transcript.pyannote[497].speaker SPEAKER_00
transcript.pyannote[497].start 3958.16346875
transcript.pyannote[497].end 3961.45409375
transcript.pyannote[498].speaker SPEAKER_00
transcript.pyannote[498].start 3962.21346875
transcript.pyannote[498].end 3966.11159375
transcript.pyannote[499].speaker SPEAKER_00
transcript.pyannote[499].start 3967.25909375
transcript.pyannote[499].end 3969.84096875
transcript.pyannote[500].speaker SPEAKER_00
transcript.pyannote[500].start 3969.94221875
transcript.pyannote[500].end 3970.83659375
transcript.pyannote[501].speaker SPEAKER_00
transcript.pyannote[501].start 3971.88284375
transcript.pyannote[501].end 3974.92034375
transcript.pyannote[502].speaker SPEAKER_00
transcript.pyannote[502].start 3975.76409375
transcript.pyannote[502].end 3977.51909375
transcript.pyannote[503].speaker SPEAKER_00
transcript.pyannote[503].start 3978.22784375
transcript.pyannote[503].end 3980.45534375
transcript.pyannote[504].speaker SPEAKER_00
transcript.pyannote[504].start 3981.51846875
transcript.pyannote[504].end 3982.44659375
transcript.pyannote[505].speaker SPEAKER_00
transcript.pyannote[505].start 3983.00346875
transcript.pyannote[505].end 3983.81346875
transcript.pyannote[506].speaker SPEAKER_00
transcript.pyannote[506].start 3984.53909375
transcript.pyannote[506].end 3986.34471875
transcript.pyannote[507].speaker SPEAKER_00
transcript.pyannote[507].start 3988.23471875
transcript.pyannote[507].end 3988.84221875
transcript.pyannote[508].speaker SPEAKER_00
transcript.pyannote[508].start 3990.56346875
transcript.pyannote[508].end 3993.09471875
transcript.pyannote[509].speaker SPEAKER_00
transcript.pyannote[509].start 3993.36471875
transcript.pyannote[509].end 3994.49534375
transcript.pyannote[510].speaker SPEAKER_00
transcript.pyannote[510].start 3995.71034375
transcript.pyannote[510].end 3996.62159375
transcript.pyannote[511].speaker SPEAKER_00
transcript.pyannote[511].start 3997.22909375
transcript.pyannote[511].end 3998.68034375
transcript.pyannote[512].speaker SPEAKER_00
transcript.pyannote[512].start 3999.50721875
transcript.pyannote[512].end 4000.50284375
transcript.pyannote[513].speaker SPEAKER_00
transcript.pyannote[513].start 4003.69221875
transcript.pyannote[513].end 4004.95784375
transcript.pyannote[514].speaker SPEAKER_00
transcript.pyannote[514].start 4005.36284375
transcript.pyannote[514].end 4007.03346875
transcript.pyannote[515].speaker SPEAKER_00
transcript.pyannote[515].start 4007.96159375
transcript.pyannote[515].end 4009.32846875
transcript.pyannote[516].speaker SPEAKER_00
transcript.pyannote[516].start 4009.80096875
transcript.pyannote[516].end 4011.96096875
transcript.pyannote[517].speaker SPEAKER_17
transcript.pyannote[517].start 4013.09159375
transcript.pyannote[517].end 4013.54721875
transcript.pyannote[518].speaker SPEAKER_00
transcript.pyannote[518].start 4013.54721875
transcript.pyannote[518].end 4015.74096875
transcript.pyannote[519].speaker SPEAKER_17
transcript.pyannote[519].start 4013.80034375
transcript.pyannote[519].end 4014.45846875
transcript.pyannote[520].speaker SPEAKER_00
transcript.pyannote[520].start 4015.90971875
transcript.pyannote[520].end 4016.09534375
transcript.pyannote[521].speaker SPEAKER_17
transcript.pyannote[521].start 4016.09534375
transcript.pyannote[521].end 4018.12034375
transcript.pyannote[522].speaker SPEAKER_00
transcript.pyannote[522].start 4016.12909375
transcript.pyannote[522].end 4016.17971875
transcript.pyannote[523].speaker SPEAKER_00
transcript.pyannote[523].start 4017.73221875
transcript.pyannote[523].end 4017.81659375
transcript.pyannote[524].speaker SPEAKER_17
transcript.pyannote[524].start 4018.23846875
transcript.pyannote[524].end 4032.93659375
transcript.pyannote[525].speaker SPEAKER_00
transcript.pyannote[525].start 4030.70909375
transcript.pyannote[525].end 4038.01596875
transcript.pyannote[526].speaker SPEAKER_00
transcript.pyannote[526].start 4038.82596875
transcript.pyannote[526].end 4042.92659375
transcript.pyannote[527].speaker SPEAKER_00
transcript.pyannote[527].start 4042.99409375
transcript.pyannote[527].end 4045.82909375
transcript.pyannote[528].speaker SPEAKER_00
transcript.pyannote[528].start 4046.63909375
transcript.pyannote[528].end 4049.81159375
transcript.pyannote[529].speaker SPEAKER_00
transcript.pyannote[529].start 4050.33471875
transcript.pyannote[529].end 4056.32534375
transcript.pyannote[530].speaker SPEAKER_00
transcript.pyannote[530].start 4056.74721875
transcript.pyannote[530].end 4057.82721875
transcript.pyannote[531].speaker SPEAKER_00
transcript.pyannote[531].start 4059.00846875
transcript.pyannote[531].end 4060.88159375
transcript.pyannote[532].speaker SPEAKER_00
transcript.pyannote[532].start 4061.10096875
transcript.pyannote[532].end 4061.80971875
transcript.pyannote[533].speaker SPEAKER_00
transcript.pyannote[533].start 4062.53534375
transcript.pyannote[533].end 4063.98659375
transcript.pyannote[534].speaker SPEAKER_00
transcript.pyannote[534].start 4065.33659375
transcript.pyannote[534].end 4066.92284375
transcript.pyannote[535].speaker SPEAKER_00
transcript.pyannote[535].start 4067.22659375
transcript.pyannote[535].end 4069.20096875
transcript.pyannote[536].speaker SPEAKER_00
transcript.pyannote[536].start 4070.36534375
transcript.pyannote[536].end 4073.63909375
transcript.pyannote[537].speaker SPEAKER_00
transcript.pyannote[537].start 4074.36471875
transcript.pyannote[537].end 4077.38534375
transcript.pyannote[538].speaker SPEAKER_00
transcript.pyannote[538].start 4077.79034375
transcript.pyannote[538].end 4080.06846875
transcript.pyannote[539].speaker SPEAKER_17
transcript.pyannote[539].start 4080.32159375
transcript.pyannote[539].end 4094.20971875
transcript.pyannote[540].speaker SPEAKER_00
transcript.pyannote[540].start 4080.67596875
transcript.pyannote[540].end 4081.65471875
transcript.pyannote[541].speaker SPEAKER_17
transcript.pyannote[541].start 4095.28971875
transcript.pyannote[541].end 4095.88034375
transcript.pyannote[542].speaker SPEAKER_17
transcript.pyannote[542].start 4096.09971875
transcript.pyannote[542].end 4096.75784375
transcript.pyannote[543].speaker SPEAKER_17
transcript.pyannote[543].start 4096.94346875
transcript.pyannote[543].end 4099.28909375
transcript.pyannote[544].speaker SPEAKER_17
transcript.pyannote[544].start 4099.66034375
transcript.pyannote[544].end 4099.67721875
transcript.pyannote[545].speaker SPEAKER_00
transcript.pyannote[545].start 4099.67721875
transcript.pyannote[545].end 4099.72784375
transcript.pyannote[546].speaker SPEAKER_17
transcript.pyannote[546].start 4099.72784375
transcript.pyannote[546].end 4099.76159375
transcript.pyannote[547].speaker SPEAKER_00
transcript.pyannote[547].start 4099.76159375
transcript.pyannote[547].end 4100.16659375
transcript.pyannote[548].speaker SPEAKER_17
transcript.pyannote[548].start 4100.16659375
transcript.pyannote[548].end 4100.30159375
transcript.pyannote[549].speaker SPEAKER_00
transcript.pyannote[549].start 4100.30159375
transcript.pyannote[549].end 4100.48721875
transcript.pyannote[550].speaker SPEAKER_17
transcript.pyannote[550].start 4100.48721875
transcript.pyannote[550].end 4100.53784375
transcript.pyannote[551].speaker SPEAKER_17
transcript.pyannote[551].start 4100.95971875
transcript.pyannote[551].end 4103.81159375
transcript.pyannote[552].speaker SPEAKER_00
transcript.pyannote[552].start 4102.83284375
transcript.pyannote[552].end 4106.14034375
transcript.pyannote[553].speaker SPEAKER_17
transcript.pyannote[553].start 4106.42721875
transcript.pyannote[553].end 4107.52409375
transcript.pyannote[554].speaker SPEAKER_17
transcript.pyannote[554].start 4108.19909375
transcript.pyannote[554].end 4110.39284375
transcript.pyannote[555].speaker SPEAKER_17
transcript.pyannote[555].start 4110.57846875
transcript.pyannote[555].end 4112.29971875
transcript.pyannote[556].speaker SPEAKER_00
transcript.pyannote[556].start 4110.71346875
transcript.pyannote[556].end 4113.26159375
transcript.pyannote[557].speaker SPEAKER_10
transcript.pyannote[557].start 4112.29971875
transcript.pyannote[557].end 4113.31221875
transcript.pyannote[558].speaker SPEAKER_00
transcript.pyannote[558].start 4113.31221875
transcript.pyannote[558].end 4114.89846875
transcript.pyannote[559].speaker SPEAKER_10
transcript.pyannote[559].start 4113.43034375
transcript.pyannote[559].end 4113.95346875
transcript.pyannote[560].speaker SPEAKER_17
transcript.pyannote[560].start 4113.95346875
transcript.pyannote[560].end 4113.97034375
transcript.pyannote[561].speaker SPEAKER_10
transcript.pyannote[561].start 4113.97034375
transcript.pyannote[561].end 4114.00409375
transcript.pyannote[562].speaker SPEAKER_17
transcript.pyannote[562].start 4114.00409375
transcript.pyannote[562].end 4114.08846875
transcript.pyannote[563].speaker SPEAKER_10
transcript.pyannote[563].start 4114.89846875
transcript.pyannote[563].end 4115.33721875
transcript.pyannote[564].speaker SPEAKER_00
transcript.pyannote[564].start 4115.59034375
transcript.pyannote[564].end 4117.85159375
transcript.pyannote[565].speaker SPEAKER_00
transcript.pyannote[565].start 4118.62784375
transcript.pyannote[565].end 4120.70346875
transcript.pyannote[566].speaker SPEAKER_00
transcript.pyannote[566].start 4121.96909375
transcript.pyannote[566].end 4125.12471875
transcript.pyannote[567].speaker SPEAKER_00
transcript.pyannote[567].start 4126.45784375
transcript.pyannote[567].end 4128.26346875
transcript.pyannote[568].speaker SPEAKER_00
transcript.pyannote[568].start 4129.34346875
transcript.pyannote[568].end 4131.73971875
transcript.pyannote[569].speaker SPEAKER_00
transcript.pyannote[569].start 4132.38096875
transcript.pyannote[569].end 4136.86971875
transcript.pyannote[570].speaker SPEAKER_00
transcript.pyannote[570].start 4137.88221875
transcript.pyannote[570].end 4138.67534375
transcript.pyannote[571].speaker SPEAKER_00
transcript.pyannote[571].start 4139.83971875
transcript.pyannote[571].end 4142.94471875
transcript.pyannote[572].speaker SPEAKER_00
transcript.pyannote[572].start 4144.64909375
transcript.pyannote[572].end 4145.34096875
transcript.pyannote[573].speaker SPEAKER_00
transcript.pyannote[573].start 4146.50534375
transcript.pyannote[573].end 4148.63159375
transcript.pyannote[574].speaker SPEAKER_00
transcript.pyannote[574].start 4149.55971875
transcript.pyannote[574].end 4149.94784375
transcript.pyannote[575].speaker SPEAKER_00
transcript.pyannote[575].start 4150.48784375
transcript.pyannote[575].end 4151.90534375
transcript.pyannote[576].speaker SPEAKER_00
transcript.pyannote[576].start 4153.23846875
transcript.pyannote[576].end 4156.93409375
transcript.pyannote[577].speaker SPEAKER_00
transcript.pyannote[577].start 4159.06034375
transcript.pyannote[577].end 4160.19096875
transcript.pyannote[578].speaker SPEAKER_00
transcript.pyannote[578].start 4160.35971875
transcript.pyannote[578].end 4162.55346875
transcript.pyannote[579].speaker SPEAKER_00
transcript.pyannote[579].start 4162.78971875
transcript.pyannote[579].end 4163.54909375
transcript.pyannote[580].speaker SPEAKER_00
transcript.pyannote[580].start 4164.29159375
transcript.pyannote[580].end 4164.83159375
transcript.pyannote[581].speaker SPEAKER_00
transcript.pyannote[581].start 4165.20284375
transcript.pyannote[581].end 4166.18159375
transcript.pyannote[582].speaker SPEAKER_00
transcript.pyannote[582].start 4167.12659375
transcript.pyannote[582].end 4168.83096875
transcript.pyannote[583].speaker SPEAKER_00
transcript.pyannote[583].start 4170.11346875
transcript.pyannote[583].end 4174.24784375
transcript.pyannote[584].speaker SPEAKER_00
transcript.pyannote[584].start 4175.00721875
transcript.pyannote[584].end 4178.88846875
transcript.pyannote[585].speaker SPEAKER_00
transcript.pyannote[585].start 4180.96409375
transcript.pyannote[585].end 4181.85846875
transcript.pyannote[586].speaker SPEAKER_00
transcript.pyannote[586].start 4182.48284375
transcript.pyannote[586].end 4183.56284375
transcript.pyannote[587].speaker SPEAKER_00
transcript.pyannote[587].start 4183.59659375
transcript.pyannote[587].end 4185.31784375
transcript.pyannote[588].speaker SPEAKER_17
transcript.pyannote[588].start 4185.31784375
transcript.pyannote[588].end 4185.58784375
transcript.pyannote[589].speaker SPEAKER_00
transcript.pyannote[589].start 4185.58784375
transcript.pyannote[589].end 4186.66784375
transcript.pyannote[590].speaker SPEAKER_17
transcript.pyannote[590].start 4186.66784375
transcript.pyannote[590].end 4188.91221875
transcript.pyannote[591].speaker SPEAKER_17
transcript.pyannote[591].start 4189.23284375
transcript.pyannote[591].end 4202.95221875
transcript.pyannote[592].speaker SPEAKER_17
transcript.pyannote[592].start 4203.07034375
transcript.pyannote[592].end 4213.85346875
transcript.pyannote[593].speaker SPEAKER_00
transcript.pyannote[593].start 4211.91284375
transcript.pyannote[593].end 4225.56471875
transcript.pyannote[594].speaker SPEAKER_10
transcript.pyannote[594].start 4219.05096875
transcript.pyannote[594].end 4219.72596875
transcript.pyannote[595].speaker SPEAKER_00
transcript.pyannote[595].start 4226.03721875
transcript.pyannote[595].end 4232.28096875
transcript.pyannote[596].speaker SPEAKER_17
transcript.pyannote[596].start 4229.29409375
transcript.pyannote[596].end 4229.63159375
transcript.pyannote[597].speaker SPEAKER_00
transcript.pyannote[597].start 4232.88846875
transcript.pyannote[597].end 4235.60534375
transcript.pyannote[598].speaker SPEAKER_17
transcript.pyannote[598].start 4235.70659375
transcript.pyannote[598].end 4236.04409375
transcript.pyannote[599].speaker SPEAKER_00
transcript.pyannote[599].start 4235.97659375
transcript.pyannote[599].end 4238.62596875
transcript.pyannote[600].speaker SPEAKER_00
transcript.pyannote[600].start 4239.62159375
transcript.pyannote[600].end 4240.54971875
transcript.pyannote[601].speaker SPEAKER_00
transcript.pyannote[601].start 4241.19096875
transcript.pyannote[601].end 4243.03034375
transcript.pyannote[602].speaker SPEAKER_00
transcript.pyannote[602].start 4244.41409375
transcript.pyannote[602].end 4247.04659375
transcript.pyannote[603].speaker SPEAKER_00
transcript.pyannote[603].start 4247.75534375
transcript.pyannote[603].end 4249.32471875
transcript.pyannote[604].speaker SPEAKER_00
transcript.pyannote[604].start 4249.67909375
transcript.pyannote[604].end 4252.83471875
transcript.pyannote[605].speaker SPEAKER_00
transcript.pyannote[605].start 4253.84721875
transcript.pyannote[605].end 4255.70346875
transcript.pyannote[606].speaker SPEAKER_00
transcript.pyannote[606].start 4257.17159375
transcript.pyannote[606].end 4257.59346875
transcript.pyannote[607].speaker SPEAKER_17
transcript.pyannote[607].start 4257.59346875
transcript.pyannote[607].end 4257.61034375
transcript.pyannote[608].speaker SPEAKER_17
transcript.pyannote[608].start 4258.01534375
transcript.pyannote[608].end 4258.28534375
transcript.pyannote[609].speaker SPEAKER_00
transcript.pyannote[609].start 4258.28534375
transcript.pyannote[609].end 4258.97721875
transcript.pyannote[610].speaker SPEAKER_17
transcript.pyannote[610].start 4258.97721875
transcript.pyannote[610].end 4259.58471875
transcript.pyannote[611].speaker SPEAKER_17
transcript.pyannote[611].start 4260.15846875
transcript.pyannote[611].end 4261.66034375
transcript.pyannote[612].speaker SPEAKER_17
transcript.pyannote[612].start 4262.06534375
transcript.pyannote[612].end 4265.25471875
transcript.pyannote[613].speaker SPEAKER_17
transcript.pyannote[613].start 4265.49096875
transcript.pyannote[613].end 4268.79846875
transcript.pyannote[614].speaker SPEAKER_00
transcript.pyannote[614].start 4266.40221875
transcript.pyannote[614].end 4269.16971875
transcript.pyannote[615].speaker SPEAKER_17
transcript.pyannote[615].start 4269.16971875
transcript.pyannote[615].end 4269.69284375
transcript.pyannote[616].speaker SPEAKER_00
transcript.pyannote[616].start 4269.18659375
transcript.pyannote[616].end 4276.07159375
transcript.pyannote[617].speaker SPEAKER_17
transcript.pyannote[617].start 4276.07159375
transcript.pyannote[617].end 4276.49346875
transcript.pyannote[618].speaker SPEAKER_00
transcript.pyannote[618].start 4276.49346875
transcript.pyannote[618].end 4276.57784375
transcript.pyannote[619].speaker SPEAKER_17
transcript.pyannote[619].start 4276.57784375
transcript.pyannote[619].end 4277.32034375
transcript.pyannote[620].speaker SPEAKER_00
transcript.pyannote[620].start 4277.08409375
transcript.pyannote[620].end 4284.86346875
transcript.pyannote[621].speaker SPEAKER_00
transcript.pyannote[621].start 4285.21784375
transcript.pyannote[621].end 4286.85471875
transcript.pyannote[622].speaker SPEAKER_17
transcript.pyannote[622].start 4288.05284375
transcript.pyannote[622].end 4307.91471875
transcript.pyannote[623].speaker SPEAKER_00
transcript.pyannote[623].start 4301.16471875
transcript.pyannote[623].end 4301.53596875
transcript.pyannote[624].speaker SPEAKER_00
transcript.pyannote[624].start 4307.91471875
transcript.pyannote[624].end 4313.80409375
transcript.pyannote[625].speaker SPEAKER_17
transcript.pyannote[625].start 4308.25221875
transcript.pyannote[625].end 4309.78784375
transcript.pyannote[626].speaker SPEAKER_17
transcript.pyannote[626].start 4311.67784375
transcript.pyannote[626].end 4312.06596875
transcript.pyannote[627].speaker SPEAKER_17
transcript.pyannote[627].start 4313.31471875
transcript.pyannote[627].end 4313.73659375
transcript.pyannote[628].speaker SPEAKER_00
transcript.pyannote[628].start 4314.69846875
transcript.pyannote[628].end 4314.73221875
transcript.pyannote[629].speaker SPEAKER_17
transcript.pyannote[629].start 4314.73221875
transcript.pyannote[629].end 4315.03596875
transcript.pyannote[630].speaker SPEAKER_00
transcript.pyannote[630].start 4315.03596875
transcript.pyannote[630].end 4317.49971875
transcript.pyannote[631].speaker SPEAKER_00
transcript.pyannote[631].start 4318.09034375
transcript.pyannote[631].end 4322.74784375
transcript.pyannote[632].speaker SPEAKER_00
transcript.pyannote[632].start 4323.49034375
transcript.pyannote[632].end 4325.41409375
transcript.pyannote[633].speaker SPEAKER_00
transcript.pyannote[633].start 4326.03846875
transcript.pyannote[633].end 4326.59534375
transcript.pyannote[634].speaker SPEAKER_00
transcript.pyannote[634].start 4327.13534375
transcript.pyannote[634].end 4328.85659375
transcript.pyannote[635].speaker SPEAKER_00
transcript.pyannote[635].start 4329.88596875
transcript.pyannote[635].end 4330.93221875
transcript.pyannote[636].speaker SPEAKER_00
transcript.pyannote[636].start 4331.13471875
transcript.pyannote[636].end 4334.99909375
transcript.pyannote[637].speaker SPEAKER_00
transcript.pyannote[637].start 4335.64034375
transcript.pyannote[637].end 4336.16346875
transcript.pyannote[638].speaker SPEAKER_00
transcript.pyannote[638].start 4337.59784375
transcript.pyannote[638].end 4338.55971875
transcript.pyannote[639].speaker SPEAKER_00
transcript.pyannote[639].start 4339.20096875
transcript.pyannote[639].end 4340.41596875
transcript.pyannote[640].speaker SPEAKER_00
transcript.pyannote[640].start 4341.12471875
transcript.pyannote[640].end 4342.62659375
transcript.pyannote[641].speaker SPEAKER_00
transcript.pyannote[641].start 4343.43659375
transcript.pyannote[641].end 4346.33909375
transcript.pyannote[642].speaker SPEAKER_00
transcript.pyannote[642].start 4347.26721875
transcript.pyannote[642].end 4347.77346875
transcript.pyannote[643].speaker SPEAKER_00
transcript.pyannote[643].start 4348.36409375
transcript.pyannote[643].end 4350.27096875
transcript.pyannote[644].speaker SPEAKER_00
transcript.pyannote[644].start 4351.16534375
transcript.pyannote[644].end 4351.62096875
transcript.pyannote[645].speaker SPEAKER_00
transcript.pyannote[645].start 4352.44784375
transcript.pyannote[645].end 4354.21971875
transcript.pyannote[646].speaker SPEAKER_00
transcript.pyannote[646].start 4356.59909375
transcript.pyannote[646].end 4357.74659375
transcript.pyannote[647].speaker SPEAKER_00
transcript.pyannote[647].start 4358.52284375
transcript.pyannote[647].end 4359.68721875
transcript.pyannote[648].speaker SPEAKER_00
transcript.pyannote[648].start 4361.07096875
transcript.pyannote[648].end 4361.76284375
transcript.pyannote[649].speaker SPEAKER_00
transcript.pyannote[649].start 4362.50534375
transcript.pyannote[649].end 4364.07471875
transcript.pyannote[650].speaker SPEAKER_00
transcript.pyannote[650].start 4365.62721875
transcript.pyannote[650].end 4366.67346875
transcript.pyannote[651].speaker SPEAKER_00
transcript.pyannote[651].start 4367.56784375
transcript.pyannote[651].end 4368.31034375
transcript.pyannote[652].speaker SPEAKER_00
transcript.pyannote[652].start 4370.23409375
transcript.pyannote[652].end 4370.74034375
transcript.pyannote[653].speaker SPEAKER_00
transcript.pyannote[653].start 4371.22971875
transcript.pyannote[653].end 4371.75284375
transcript.pyannote[654].speaker SPEAKER_00
transcript.pyannote[654].start 4372.79909375
transcript.pyannote[654].end 4373.44034375
transcript.pyannote[655].speaker SPEAKER_00
transcript.pyannote[655].start 4374.08159375
transcript.pyannote[655].end 4375.31346875
transcript.pyannote[656].speaker SPEAKER_00
transcript.pyannote[656].start 4375.39784375
transcript.pyannote[656].end 4378.53659375
transcript.pyannote[657].speaker SPEAKER_00
transcript.pyannote[657].start 4381.50659375
transcript.pyannote[657].end 4384.02096875
transcript.pyannote[658].speaker SPEAKER_00
transcript.pyannote[658].start 4384.29096875
transcript.pyannote[658].end 4386.14721875
transcript.pyannote[659].speaker SPEAKER_00
transcript.pyannote[659].start 4386.58596875
transcript.pyannote[659].end 4388.40846875
transcript.pyannote[660].speaker SPEAKER_00
transcript.pyannote[660].start 4389.25221875
transcript.pyannote[660].end 4390.46721875
transcript.pyannote[661].speaker SPEAKER_00
transcript.pyannote[661].start 4392.76221875
transcript.pyannote[661].end 4394.66909375
transcript.pyannote[662].speaker SPEAKER_00
transcript.pyannote[662].start 4395.24284375
transcript.pyannote[662].end 4396.05284375
transcript.pyannote[663].speaker SPEAKER_00
transcript.pyannote[663].start 4397.85846875
transcript.pyannote[663].end 4399.14096875
transcript.pyannote[664].speaker SPEAKER_01
transcript.pyannote[664].start 4397.90909375
transcript.pyannote[664].end 4398.60096875
transcript.pyannote[665].speaker SPEAKER_00
transcript.pyannote[665].start 4399.36034375
transcript.pyannote[665].end 4400.45721875
transcript.pyannote[666].speaker SPEAKER_00
transcript.pyannote[666].start 4401.11534375
transcript.pyannote[666].end 4407.22409375
transcript.pyannote[667].speaker SPEAKER_00
transcript.pyannote[667].start 4407.83159375
transcript.pyannote[667].end 4408.72596875
transcript.pyannote[668].speaker SPEAKER_17
transcript.pyannote[668].start 4410.21096875
transcript.pyannote[668].end 4410.29534375
transcript.pyannote[669].speaker SPEAKER_17
transcript.pyannote[669].start 4410.53159375
transcript.pyannote[669].end 4412.65784375
transcript.pyannote[670].speaker SPEAKER_17
transcript.pyannote[670].start 4412.94471875
transcript.pyannote[670].end 4414.51409375
transcript.pyannote[671].speaker SPEAKER_00
transcript.pyannote[671].start 4413.46784375
transcript.pyannote[671].end 4420.31909375
transcript.pyannote[672].speaker SPEAKER_00
transcript.pyannote[672].start 4420.96034375
transcript.pyannote[672].end 4423.12034375
transcript.pyannote[673].speaker SPEAKER_00
transcript.pyannote[673].start 4423.25534375
transcript.pyannote[673].end 4424.20034375
transcript.pyannote[674].speaker SPEAKER_00
transcript.pyannote[674].start 4424.72346875
transcript.pyannote[674].end 4425.21284375
transcript.pyannote[675].speaker SPEAKER_00
transcript.pyannote[675].start 4425.87096875
transcript.pyannote[675].end 4430.15721875
transcript.pyannote[676].speaker SPEAKER_00
transcript.pyannote[676].start 4430.51159375
transcript.pyannote[676].end 4431.65909375
transcript.pyannote[677].speaker SPEAKER_17
transcript.pyannote[677].start 4432.48596875
transcript.pyannote[677].end 4464.97034375
transcript.pyannote[678].speaker SPEAKER_17
transcript.pyannote[678].start 4465.35846875
transcript.pyannote[678].end 4472.05784375
transcript.pyannote[679].speaker SPEAKER_17
transcript.pyannote[679].start 4472.19284375
transcript.pyannote[679].end 4483.09409375
transcript.pyannote[680].speaker SPEAKER_17
transcript.pyannote[680].start 4483.27971875
transcript.pyannote[680].end 4492.34159375
transcript.pyannote[681].speaker SPEAKER_00
transcript.pyannote[681].start 4490.97471875
transcript.pyannote[681].end 4492.32471875
transcript.pyannote[682].speaker SPEAKER_00
transcript.pyannote[682].start 4492.34159375
transcript.pyannote[682].end 4492.96596875
transcript.pyannote[683].speaker SPEAKER_17
transcript.pyannote[683].start 4492.96596875
transcript.pyannote[683].end 4500.40784375
transcript.pyannote[684].speaker SPEAKER_10
transcript.pyannote[684].start 4498.60221875
transcript.pyannote[684].end 4499.02409375
transcript.pyannote[685].speaker SPEAKER_00
transcript.pyannote[685].start 4499.02409375
transcript.pyannote[685].end 4500.42471875
transcript.pyannote[686].speaker SPEAKER_17
transcript.pyannote[686].start 4500.42471875
transcript.pyannote[686].end 4502.16284375
transcript.pyannote[687].speaker SPEAKER_00
transcript.pyannote[687].start 4500.54284375
transcript.pyannote[687].end 4504.66034375
transcript.pyannote[688].speaker SPEAKER_17
transcript.pyannote[688].start 4504.86284375
transcript.pyannote[688].end 4505.16659375
transcript.pyannote[689].speaker SPEAKER_00
transcript.pyannote[689].start 4505.94284375
transcript.pyannote[689].end 4511.84909375
transcript.pyannote[690].speaker SPEAKER_00
transcript.pyannote[690].start 4512.47346875
transcript.pyannote[690].end 4515.17346875
transcript.pyannote[691].speaker SPEAKER_00
transcript.pyannote[691].start 4516.03409375
transcript.pyannote[691].end 4522.31159375
transcript.pyannote[692].speaker SPEAKER_00
transcript.pyannote[692].start 4522.66596875
transcript.pyannote[692].end 4523.84721875
transcript.pyannote[693].speaker SPEAKER_17
transcript.pyannote[693].start 4522.96971875
transcript.pyannote[693].end 4523.56034375
transcript.pyannote[694].speaker SPEAKER_17
transcript.pyannote[694].start 4523.84721875
transcript.pyannote[694].end 4523.88096875
transcript.pyannote[695].speaker SPEAKER_00
transcript.pyannote[695].start 4524.50534375
transcript.pyannote[695].end 4524.97784375
transcript.pyannote[696].speaker SPEAKER_17
transcript.pyannote[696].start 4524.97784375
transcript.pyannote[696].end 4539.03471875
transcript.pyannote[697].speaker SPEAKER_00
transcript.pyannote[697].start 4539.03471875
transcript.pyannote[697].end 4545.16034375
transcript.pyannote[698].speaker SPEAKER_17
transcript.pyannote[698].start 4539.10221875
transcript.pyannote[698].end 4540.92471875
transcript.pyannote[699].speaker SPEAKER_17
transcript.pyannote[699].start 4542.49409375
transcript.pyannote[699].end 4543.03409375
transcript.pyannote[700].speaker SPEAKER_00
transcript.pyannote[700].start 4545.93659375
transcript.pyannote[700].end 4565.56221875
transcript.pyannote[701].speaker SPEAKER_00
transcript.pyannote[701].start 4566.79409375
transcript.pyannote[701].end 4567.70534375
transcript.pyannote[702].speaker SPEAKER_00
transcript.pyannote[702].start 4568.26221875
transcript.pyannote[702].end 4571.46846875
transcript.pyannote[703].speaker SPEAKER_00
transcript.pyannote[703].start 4572.37971875
transcript.pyannote[703].end 4572.98721875
transcript.pyannote[704].speaker SPEAKER_00
transcript.pyannote[704].start 4573.78034375
transcript.pyannote[704].end 4577.05409375
transcript.pyannote[705].speaker SPEAKER_16
transcript.pyannote[705].start 4578.43784375
transcript.pyannote[705].end 4579.72034375
transcript.pyannote[706].speaker SPEAKER_16
transcript.pyannote[706].start 4580.54721875
transcript.pyannote[706].end 4581.64409375
transcript.pyannote[707].speaker SPEAKER_16
transcript.pyannote[707].start 4582.20096875
transcript.pyannote[707].end 4584.09096875
transcript.pyannote[708].speaker SPEAKER_16
transcript.pyannote[708].start 4584.25971875
transcript.pyannote[708].end 4590.82409375
transcript.pyannote[709].speaker SPEAKER_10
transcript.pyannote[709].start 4588.68096875
transcript.pyannote[709].end 4589.20409375
transcript.pyannote[710].speaker SPEAKER_16
transcript.pyannote[710].start 4591.88721875
transcript.pyannote[710].end 4593.06846875
transcript.pyannote[711].speaker SPEAKER_16
transcript.pyannote[711].start 4593.76034375
transcript.pyannote[711].end 4594.43534375
transcript.pyannote[712].speaker SPEAKER_16
transcript.pyannote[712].start 4595.19471875
transcript.pyannote[712].end 4597.23659375
transcript.pyannote[713].speaker SPEAKER_16
transcript.pyannote[713].start 4597.81034375
transcript.pyannote[713].end 4598.48534375
transcript.pyannote[714].speaker SPEAKER_16
transcript.pyannote[714].start 4598.78909375
transcript.pyannote[714].end 4599.53159375
transcript.pyannote[715].speaker SPEAKER_16
transcript.pyannote[715].start 4599.68346875
transcript.pyannote[715].end 4600.66221875
transcript.pyannote[716].speaker SPEAKER_16
transcript.pyannote[716].start 4601.40471875
transcript.pyannote[716].end 4605.15096875
transcript.pyannote[717].speaker SPEAKER_16
transcript.pyannote[717].start 4605.77534375
transcript.pyannote[717].end 4608.01971875
transcript.pyannote[718].speaker SPEAKER_16
transcript.pyannote[718].start 4608.59346875
transcript.pyannote[718].end 4610.48346875
transcript.pyannote[719].speaker SPEAKER_16
transcript.pyannote[719].start 4610.56784375
transcript.pyannote[719].end 4610.58471875
transcript.pyannote[720].speaker SPEAKER_16
transcript.pyannote[720].start 4610.60159375
transcript.pyannote[720].end 4620.15284375
transcript.pyannote[721].speaker SPEAKER_16
transcript.pyannote[721].start 4620.47346875
transcript.pyannote[721].end 4624.21971875
transcript.pyannote[722].speaker SPEAKER_16
transcript.pyannote[722].start 4624.57409375
transcript.pyannote[722].end 4625.58659375
transcript.pyannote[723].speaker SPEAKER_16
transcript.pyannote[723].start 4625.95784375
transcript.pyannote[723].end 4632.28596875
transcript.pyannote[724].speaker SPEAKER_16
transcript.pyannote[724].start 4632.75846875
transcript.pyannote[724].end 4634.39534375
transcript.pyannote[725].speaker SPEAKER_16
transcript.pyannote[725].start 4634.78346875
transcript.pyannote[725].end 4636.28534375
transcript.pyannote[726].speaker SPEAKER_17
transcript.pyannote[726].start 4636.30221875
transcript.pyannote[726].end 4636.90971875
transcript.pyannote[727].speaker SPEAKER_16
transcript.pyannote[727].start 4637.19659375
transcript.pyannote[727].end 4638.49596875
transcript.pyannote[728].speaker SPEAKER_16
transcript.pyannote[728].start 4638.81659375
transcript.pyannote[728].end 4640.70659375
transcript.pyannote[729].speaker SPEAKER_16
transcript.pyannote[729].start 4641.02721875
transcript.pyannote[729].end 4643.32221875
transcript.pyannote[730].speaker SPEAKER_16
transcript.pyannote[730].start 4643.99721875
transcript.pyannote[730].end 4646.02221875
transcript.pyannote[731].speaker SPEAKER_16
transcript.pyannote[731].start 4646.34284375
transcript.pyannote[731].end 4648.01346875
transcript.pyannote[732].speaker SPEAKER_16
transcript.pyannote[732].start 4648.26659375
transcript.pyannote[732].end 4650.08909375
transcript.pyannote[733].speaker SPEAKER_16
transcript.pyannote[733].start 4651.42221875
transcript.pyannote[733].end 4652.13096875
transcript.pyannote[734].speaker SPEAKER_16
transcript.pyannote[734].start 4653.44721875
transcript.pyannote[734].end 4655.03346875
transcript.pyannote[735].speaker SPEAKER_16
transcript.pyannote[735].start 4655.40471875
transcript.pyannote[735].end 4655.99534375
transcript.pyannote[736].speaker SPEAKER_16
transcript.pyannote[736].start 4656.40034375
transcript.pyannote[736].end 4657.75034375
transcript.pyannote[737].speaker SPEAKER_16
transcript.pyannote[737].start 4658.57721875
transcript.pyannote[737].end 4659.64034375
transcript.pyannote[738].speaker SPEAKER_16
transcript.pyannote[738].start 4659.74159375
transcript.pyannote[738].end 4662.42471875
transcript.pyannote[739].speaker SPEAKER_16
transcript.pyannote[739].start 4663.53846875
transcript.pyannote[739].end 4667.20034375
transcript.pyannote[740].speaker SPEAKER_16
transcript.pyannote[740].start 4667.97659375
transcript.pyannote[740].end 4668.63471875
transcript.pyannote[741].speaker SPEAKER_16
transcript.pyannote[741].start 4669.39409375
transcript.pyannote[741].end 4673.78159375
transcript.pyannote[742].speaker SPEAKER_16
transcript.pyannote[742].start 4674.28784375
transcript.pyannote[742].end 4679.56971875
transcript.pyannote[743].speaker SPEAKER_16
transcript.pyannote[743].start 4680.75096875
transcript.pyannote[743].end 4682.87721875
transcript.pyannote[744].speaker SPEAKER_16
transcript.pyannote[744].start 4683.26534375
transcript.pyannote[744].end 4687.39971875
transcript.pyannote[745].speaker SPEAKER_10
transcript.pyannote[745].start 4686.04971875
transcript.pyannote[745].end 4686.31971875
transcript.pyannote[746].speaker SPEAKER_11
transcript.pyannote[746].start 4686.31971875
transcript.pyannote[746].end 4686.33659375
transcript.pyannote[747].speaker SPEAKER_16
transcript.pyannote[747].start 4688.20971875
transcript.pyannote[747].end 4689.30659375
transcript.pyannote[748].speaker SPEAKER_16
transcript.pyannote[748].start 4689.94784375
transcript.pyannote[748].end 4691.38221875
transcript.pyannote[749].speaker SPEAKER_16
transcript.pyannote[749].start 4691.80409375
transcript.pyannote[749].end 4694.82471875
transcript.pyannote[750].speaker SPEAKER_16
transcript.pyannote[750].start 4695.28034375
transcript.pyannote[750].end 4695.88784375
transcript.pyannote[751].speaker SPEAKER_16
transcript.pyannote[751].start 4696.57971875
transcript.pyannote[751].end 4699.83659375
transcript.pyannote[752].speaker SPEAKER_16
transcript.pyannote[752].start 4700.46096875
transcript.pyannote[752].end 4701.50721875
transcript.pyannote[753].speaker SPEAKER_16
transcript.pyannote[753].start 4702.30034375
transcript.pyannote[753].end 4702.67159375
transcript.pyannote[754].speaker SPEAKER_16
transcript.pyannote[754].start 4703.17784375
transcript.pyannote[754].end 4704.61221875
transcript.pyannote[755].speaker SPEAKER_16
transcript.pyannote[755].start 4704.96659375
transcript.pyannote[755].end 4708.74659375
transcript.pyannote[756].speaker SPEAKER_00
transcript.pyannote[756].start 4709.77596875
transcript.pyannote[756].end 4710.40034375
transcript.pyannote[757].speaker SPEAKER_00
transcript.pyannote[757].start 4710.63659375
transcript.pyannote[757].end 4711.96971875
transcript.pyannote[758].speaker SPEAKER_00
transcript.pyannote[758].start 4713.21846875
transcript.pyannote[758].end 4716.17159375
transcript.pyannote[759].speaker SPEAKER_00
transcript.pyannote[759].start 4717.04909375
transcript.pyannote[759].end 4717.48784375
transcript.pyannote[760].speaker SPEAKER_00
transcript.pyannote[760].start 4719.09096875
transcript.pyannote[760].end 4724.22096875
transcript.pyannote[761].speaker SPEAKER_00
transcript.pyannote[761].start 4725.21659375
transcript.pyannote[761].end 4727.39346875
transcript.pyannote[762].speaker SPEAKER_01
transcript.pyannote[762].start 4726.66784375
transcript.pyannote[762].end 4727.10659375
transcript.pyannote[763].speaker SPEAKER_00
transcript.pyannote[763].start 4727.98409375
transcript.pyannote[763].end 4730.81909375
transcript.pyannote[764].speaker SPEAKER_00
transcript.pyannote[764].start 4731.37596875
transcript.pyannote[764].end 4732.42221875
transcript.pyannote[765].speaker SPEAKER_00
transcript.pyannote[765].start 4733.90721875
transcript.pyannote[765].end 4735.17284375
transcript.pyannote[766].speaker SPEAKER_00
transcript.pyannote[766].start 4736.23596875
transcript.pyannote[766].end 4737.01221875
transcript.pyannote[767].speaker SPEAKER_00
transcript.pyannote[767].start 4737.43409375
transcript.pyannote[767].end 4739.69534375
transcript.pyannote[768].speaker SPEAKER_00
transcript.pyannote[768].start 4740.65721875
transcript.pyannote[768].end 4744.16721875
transcript.pyannote[769].speaker SPEAKER_00
transcript.pyannote[769].start 4747.01909375
transcript.pyannote[769].end 4748.99346875
transcript.pyannote[770].speaker SPEAKER_00
transcript.pyannote[770].start 4750.39409375
transcript.pyannote[770].end 4750.86659375
transcript.pyannote[771].speaker SPEAKER_00
transcript.pyannote[771].start 4751.57534375
transcript.pyannote[771].end 4752.75659375
transcript.pyannote[772].speaker SPEAKER_00
transcript.pyannote[772].start 4753.19534375
transcript.pyannote[772].end 4753.75221875
transcript.pyannote[773].speaker SPEAKER_00
transcript.pyannote[773].start 4754.17409375
transcript.pyannote[773].end 4755.77721875
transcript.pyannote[774].speaker SPEAKER_00
transcript.pyannote[774].start 4756.77284375
transcript.pyannote[774].end 4760.45159375
transcript.pyannote[775].speaker SPEAKER_00
transcript.pyannote[775].start 4761.66659375
transcript.pyannote[775].end 4765.05846875
transcript.pyannote[776].speaker SPEAKER_00
transcript.pyannote[776].start 4765.66596875
transcript.pyannote[776].end 4766.37471875
transcript.pyannote[777].speaker SPEAKER_00
transcript.pyannote[777].start 4767.11721875
transcript.pyannote[777].end 4768.90596875
transcript.pyannote[778].speaker SPEAKER_00
transcript.pyannote[778].start 4769.00721875
transcript.pyannote[778].end 4769.02409375
transcript.pyannote[779].speaker SPEAKER_00
transcript.pyannote[779].start 4769.12534375
transcript.pyannote[779].end 4769.90159375
transcript.pyannote[780].speaker SPEAKER_00
transcript.pyannote[780].start 4770.54284375
transcript.pyannote[780].end 4773.37784375
transcript.pyannote[781].speaker SPEAKER_00
transcript.pyannote[781].start 4774.99784375
transcript.pyannote[781].end 4776.73596875
transcript.pyannote[782].speaker SPEAKER_00
transcript.pyannote[782].start 4777.47846875
transcript.pyannote[782].end 4780.54971875
transcript.pyannote[783].speaker SPEAKER_17
transcript.pyannote[783].start 4781.12346875
transcript.pyannote[783].end 4781.17409375
transcript.pyannote[784].speaker SPEAKER_00
transcript.pyannote[784].start 4781.17409375
transcript.pyannote[784].end 4782.96284375
transcript.pyannote[785].speaker SPEAKER_17
transcript.pyannote[785].start 4781.81534375
transcript.pyannote[785].end 4782.59159375
transcript.pyannote[786].speaker SPEAKER_17
transcript.pyannote[786].start 4782.96284375
transcript.pyannote[786].end 4783.28346875
transcript.pyannote[787].speaker SPEAKER_00
transcript.pyannote[787].start 4783.28346875
transcript.pyannote[787].end 4786.05096875
transcript.pyannote[788].speaker SPEAKER_17
transcript.pyannote[788].start 4783.31721875
transcript.pyannote[788].end 4785.08909375
transcript.pyannote[789].speaker SPEAKER_17
transcript.pyannote[789].start 4786.45596875
transcript.pyannote[789].end 4786.70909375
transcript.pyannote[790].speaker SPEAKER_00
transcript.pyannote[790].start 4786.70909375
transcript.pyannote[790].end 4793.17221875
transcript.pyannote[791].speaker SPEAKER_17
transcript.pyannote[791].start 4793.25659375
transcript.pyannote[791].end 4794.28596875
transcript.pyannote[792].speaker SPEAKER_00
transcript.pyannote[792].start 4794.28596875
transcript.pyannote[792].end 4795.60221875
transcript.pyannote[793].speaker SPEAKER_00
transcript.pyannote[793].start 4798.28534375
transcript.pyannote[793].end 4799.63534375
transcript.pyannote[794].speaker SPEAKER_00
transcript.pyannote[794].start 4799.92221875
transcript.pyannote[794].end 4802.40284375
transcript.pyannote[795].speaker SPEAKER_01
transcript.pyannote[795].start 4800.09096875
transcript.pyannote[795].end 4800.19221875
transcript.pyannote[796].speaker SPEAKER_10
transcript.pyannote[796].start 4800.19221875
transcript.pyannote[796].end 4800.22596875
transcript.pyannote[797].speaker SPEAKER_01
transcript.pyannote[797].start 4800.22596875
transcript.pyannote[797].end 4800.54659375
transcript.pyannote[798].speaker SPEAKER_00
transcript.pyannote[798].start 4803.22971875
transcript.pyannote[798].end 4805.13659375
transcript.pyannote[799].speaker SPEAKER_00
transcript.pyannote[799].start 4805.64284375
transcript.pyannote[799].end 4808.68034375
transcript.pyannote[800].speaker SPEAKER_00
transcript.pyannote[800].start 4809.49034375
transcript.pyannote[800].end 4811.27909375
transcript.pyannote[801].speaker SPEAKER_00
transcript.pyannote[801].start 4812.10596875
transcript.pyannote[801].end 4816.05471875
transcript.pyannote[802].speaker SPEAKER_00
transcript.pyannote[802].start 4817.06721875
transcript.pyannote[802].end 4821.04971875
transcript.pyannote[803].speaker SPEAKER_00
transcript.pyannote[803].start 4821.65721875
transcript.pyannote[803].end 4825.42034375
transcript.pyannote[804].speaker SPEAKER_00
transcript.pyannote[804].start 4826.07846875
transcript.pyannote[804].end 4830.17909375
transcript.pyannote[805].speaker SPEAKER_00
transcript.pyannote[805].start 4830.28034375
transcript.pyannote[805].end 4832.33909375
transcript.pyannote[806].speaker SPEAKER_00
transcript.pyannote[806].start 4832.96346875
transcript.pyannote[806].end 4834.83659375
transcript.pyannote[807].speaker SPEAKER_00
transcript.pyannote[807].start 4835.69721875
transcript.pyannote[807].end 4836.74346875
transcript.pyannote[808].speaker SPEAKER_00
transcript.pyannote[808].start 4837.72221875
transcript.pyannote[808].end 4841.26596875
transcript.pyannote[809].speaker SPEAKER_00
transcript.pyannote[809].start 4841.70471875
transcript.pyannote[809].end 4842.90284375
transcript.pyannote[810].speaker SPEAKER_00
transcript.pyannote[810].start 4843.51034375
transcript.pyannote[810].end 4845.38346875
transcript.pyannote[811].speaker SPEAKER_00
transcript.pyannote[811].start 4846.81784375
transcript.pyannote[811].end 4854.09096875
transcript.pyannote[812].speaker SPEAKER_01
transcript.pyannote[812].start 4855.74471875
transcript.pyannote[812].end 4857.43221875
transcript.pyannote[813].speaker SPEAKER_01
transcript.pyannote[813].start 4858.86659375
transcript.pyannote[813].end 4870.00409375
transcript.pyannote[814].speaker SPEAKER_06
transcript.pyannote[814].start 4881.54659375
transcript.pyannote[814].end 4884.19596875
transcript.pyannote[815].speaker SPEAKER_01
transcript.pyannote[815].start 4884.48284375
transcript.pyannote[815].end 4886.08596875
transcript.pyannote[816].speaker SPEAKER_06
transcript.pyannote[816].start 4896.19409375
transcript.pyannote[816].end 4914.11534375
transcript.pyannote[817].speaker SPEAKER_17
transcript.pyannote[817].start 4914.87471875
transcript.pyannote[817].end 4916.83221875
transcript.pyannote[818].speaker SPEAKER_17
transcript.pyannote[818].start 4916.96721875
transcript.pyannote[818].end 4917.00096875
transcript.pyannote[819].speaker SPEAKER_17
transcript.pyannote[819].start 4917.35534375
transcript.pyannote[819].end 4919.41409375
transcript.pyannote[820].speaker SPEAKER_06
transcript.pyannote[820].start 4919.11034375
transcript.pyannote[820].end 4926.13034375
transcript.pyannote[821].speaker SPEAKER_17
transcript.pyannote[821].start 4926.87284375
transcript.pyannote[821].end 4928.52659375
transcript.pyannote[822].speaker SPEAKER_17
transcript.pyannote[822].start 4928.59409375
transcript.pyannote[822].end 4929.28596875
transcript.pyannote[823].speaker SPEAKER_06
transcript.pyannote[823].start 4930.11284375
transcript.pyannote[823].end 4945.11471875
transcript.pyannote[824].speaker SPEAKER_17
transcript.pyannote[824].start 4945.35096875
transcript.pyannote[824].end 4946.71784375
transcript.pyannote[825].speaker SPEAKER_06
transcript.pyannote[825].start 4947.32534375
transcript.pyannote[825].end 4948.70909375
transcript.pyannote[826].speaker SPEAKER_06
transcript.pyannote[826].start 4949.23221875
transcript.pyannote[826].end 4953.53534375
transcript.pyannote[827].speaker SPEAKER_17
transcript.pyannote[827].start 4955.29034375
transcript.pyannote[827].end 4960.40346875
transcript.pyannote[828].speaker SPEAKER_06
transcript.pyannote[828].start 4959.98159375
transcript.pyannote[828].end 4960.55534375
transcript.pyannote[829].speaker SPEAKER_06
transcript.pyannote[829].start 4960.90971875
transcript.pyannote[829].end 4964.03159375
transcript.pyannote[830].speaker SPEAKER_17
transcript.pyannote[830].start 4961.39909375
transcript.pyannote[830].end 4961.48346875
transcript.pyannote[831].speaker SPEAKER_17
transcript.pyannote[831].start 4964.03159375
transcript.pyannote[831].end 4965.38159375
transcript.pyannote[832].speaker SPEAKER_17
transcript.pyannote[832].start 4966.03971875
transcript.pyannote[832].end 4966.61346875
transcript.pyannote[833].speaker SPEAKER_06
transcript.pyannote[833].start 4966.09034375
transcript.pyannote[833].end 4966.69784375
transcript.pyannote[834].speaker SPEAKER_17
transcript.pyannote[834].start 4966.69784375
transcript.pyannote[834].end 4966.71471875
transcript.pyannote[835].speaker SPEAKER_17
transcript.pyannote[835].start 4967.03534375
transcript.pyannote[835].end 4967.96346875
transcript.pyannote[836].speaker SPEAKER_06
transcript.pyannote[836].start 4967.27159375
transcript.pyannote[836].end 4969.61721875
transcript.pyannote[837].speaker SPEAKER_06
transcript.pyannote[837].start 4969.87034375
transcript.pyannote[837].end 4971.59159375
transcript.pyannote[838].speaker SPEAKER_06
transcript.pyannote[838].start 4971.84471875
transcript.pyannote[838].end 4973.98784375
transcript.pyannote[839].speaker SPEAKER_06
transcript.pyannote[839].start 4975.13534375
transcript.pyannote[839].end 4979.87721875
transcript.pyannote[840].speaker SPEAKER_17
transcript.pyannote[840].start 4981.86846875
transcript.pyannote[840].end 4983.53909375
transcript.pyannote[841].speaker SPEAKER_06
transcript.pyannote[841].start 4983.94409375
transcript.pyannote[841].end 4985.32784375
transcript.pyannote[842].speaker SPEAKER_17
transcript.pyannote[842].start 4984.12971875
transcript.pyannote[842].end 4985.14221875
transcript.pyannote[843].speaker SPEAKER_17
transcript.pyannote[843].start 4985.47971875
transcript.pyannote[843].end 4989.91784375
transcript.pyannote[844].speaker SPEAKER_06
transcript.pyannote[844].start 4986.40784375
transcript.pyannote[844].end 4988.90534375
transcript.pyannote[845].speaker SPEAKER_06
transcript.pyannote[845].start 4988.95596875
transcript.pyannote[845].end 4989.58034375
transcript.pyannote[846].speaker SPEAKER_06
transcript.pyannote[846].start 4989.64784375
transcript.pyannote[846].end 4992.88784375
transcript.pyannote[847].speaker SPEAKER_17
transcript.pyannote[847].start 4993.74846875
transcript.pyannote[847].end 4995.55409375
transcript.pyannote[848].speaker SPEAKER_06
transcript.pyannote[848].start 4995.70596875
transcript.pyannote[848].end 5000.54909375
transcript.pyannote[849].speaker SPEAKER_06
transcript.pyannote[849].start 5000.63346875
transcript.pyannote[849].end 5005.93221875
transcript.pyannote[850].speaker SPEAKER_17
transcript.pyannote[850].start 5006.84346875
transcript.pyannote[850].end 5012.86784375
transcript.pyannote[851].speaker SPEAKER_17
transcript.pyannote[851].start 5013.34034375
transcript.pyannote[851].end 5013.93096875
transcript.pyannote[852].speaker SPEAKER_06
transcript.pyannote[852].start 5014.67346875
transcript.pyannote[852].end 5016.81659375
transcript.pyannote[853].speaker SPEAKER_17
transcript.pyannote[853].start 5017.15409375
transcript.pyannote[853].end 5017.52534375
transcript.pyannote[854].speaker SPEAKER_06
transcript.pyannote[854].start 5017.62659375
transcript.pyannote[854].end 5018.11596875
transcript.pyannote[855].speaker SPEAKER_06
transcript.pyannote[855].start 5018.52096875
transcript.pyannote[855].end 5030.72159375
transcript.pyannote[856].speaker SPEAKER_17
transcript.pyannote[856].start 5031.27846875
transcript.pyannote[856].end 5034.33284375
transcript.pyannote[857].speaker SPEAKER_06
transcript.pyannote[857].start 5033.59034375
transcript.pyannote[857].end 5039.71596875
transcript.pyannote[858].speaker SPEAKER_17
transcript.pyannote[858].start 5040.44159375
transcript.pyannote[858].end 5043.93471875
transcript.pyannote[859].speaker SPEAKER_06
transcript.pyannote[859].start 5042.68596875
transcript.pyannote[859].end 5048.20409375
transcript.pyannote[860].speaker SPEAKER_06
transcript.pyannote[860].start 5048.86221875
transcript.pyannote[860].end 5051.12346875
transcript.pyannote[861].speaker SPEAKER_17
transcript.pyannote[861].start 5052.08534375
transcript.pyannote[861].end 5058.90284375
transcript.pyannote[862].speaker SPEAKER_06
transcript.pyannote[862].start 5058.36284375
transcript.pyannote[862].end 5060.79284375
transcript.pyannote[863].speaker SPEAKER_06
transcript.pyannote[863].start 5061.07971875
transcript.pyannote[863].end 5064.20159375
transcript.pyannote[864].speaker SPEAKER_06
transcript.pyannote[864].start 5066.63159375
transcript.pyannote[864].end 5066.64846875
transcript.pyannote[865].speaker SPEAKER_17
transcript.pyannote[865].start 5066.64846875
transcript.pyannote[865].end 5071.82909375
transcript.pyannote[866].speaker SPEAKER_06
transcript.pyannote[866].start 5071.82909375
transcript.pyannote[866].end 5078.05596875
transcript.pyannote[867].speaker SPEAKER_06
transcript.pyannote[867].start 5078.34284375
transcript.pyannote[867].end 5080.03034375
transcript.pyannote[868].speaker SPEAKER_06
transcript.pyannote[868].start 5080.87409375
transcript.pyannote[868].end 5091.52221875
transcript.pyannote[869].speaker SPEAKER_06
transcript.pyannote[869].start 5091.67409375
transcript.pyannote[869].end 5097.71534375
transcript.pyannote[870].speaker SPEAKER_06
transcript.pyannote[870].start 5098.44096875
transcript.pyannote[870].end 5111.94096875
transcript.pyannote[871].speaker SPEAKER_06
transcript.pyannote[871].start 5112.70034375
transcript.pyannote[871].end 5119.58534375
transcript.pyannote[872].speaker SPEAKER_06
transcript.pyannote[872].start 5122.06596875
transcript.pyannote[872].end 5123.24721875
transcript.pyannote[873].speaker SPEAKER_17
transcript.pyannote[873].start 5123.77034375
transcript.pyannote[873].end 5126.03159375
transcript.pyannote[874].speaker SPEAKER_06
transcript.pyannote[874].start 5126.13284375
transcript.pyannote[874].end 5129.65971875
transcript.pyannote[875].speaker SPEAKER_17
transcript.pyannote[875].start 5126.16659375
transcript.pyannote[875].end 5127.24659375
transcript.pyannote[876].speaker SPEAKER_17
transcript.pyannote[876].start 5127.65159375
transcript.pyannote[876].end 5128.34346875
transcript.pyannote[877].speaker SPEAKER_17
transcript.pyannote[877].start 5129.38971875
transcript.pyannote[877].end 5132.61284375
transcript.pyannote[878].speaker SPEAKER_06
transcript.pyannote[878].start 5132.56221875
transcript.pyannote[878].end 5143.93596875
transcript.pyannote[879].speaker SPEAKER_17
transcript.pyannote[879].start 5132.62971875
transcript.pyannote[879].end 5132.64659375
transcript.pyannote[880].speaker SPEAKER_17
transcript.pyannote[880].start 5133.89534375
transcript.pyannote[880].end 5134.43534375
transcript.pyannote[881].speaker SPEAKER_06
transcript.pyannote[881].start 5144.79659375
transcript.pyannote[881].end 5163.35909375
transcript.pyannote[882].speaker SPEAKER_06
transcript.pyannote[882].start 5164.27034375
transcript.pyannote[882].end 5165.14784375
transcript.pyannote[883].speaker SPEAKER_06
transcript.pyannote[883].start 5166.10971875
transcript.pyannote[883].end 5169.02909375
transcript.pyannote[884].speaker SPEAKER_06
transcript.pyannote[884].start 5169.06284375
transcript.pyannote[884].end 5169.40034375
transcript.pyannote[885].speaker SPEAKER_06
transcript.pyannote[885].start 5169.58596875
transcript.pyannote[885].end 5172.37034375
transcript.pyannote[886].speaker SPEAKER_06
transcript.pyannote[886].start 5172.50534375
transcript.pyannote[886].end 5175.91409375
transcript.pyannote[887].speaker SPEAKER_06
transcript.pyannote[887].start 5176.01534375
transcript.pyannote[887].end 5180.53784375
transcript.pyannote[888].speaker SPEAKER_06
transcript.pyannote[888].start 5181.01034375
transcript.pyannote[888].end 5186.32596875
transcript.pyannote[889].speaker SPEAKER_06
transcript.pyannote[889].start 5186.96721875
transcript.pyannote[889].end 5190.25784375
transcript.pyannote[890].speaker SPEAKER_06
transcript.pyannote[890].start 5191.94534375
transcript.pyannote[890].end 5209.19159375
transcript.pyannote[891].speaker SPEAKER_06
transcript.pyannote[891].start 5210.64284375
transcript.pyannote[891].end 5211.77346875
transcript.pyannote[892].speaker SPEAKER_06
transcript.pyannote[892].start 5211.84096875
transcript.pyannote[892].end 5218.18596875
transcript.pyannote[893].speaker SPEAKER_06
transcript.pyannote[893].start 5219.83971875
transcript.pyannote[893].end 5223.09659375
transcript.pyannote[894].speaker SPEAKER_06
transcript.pyannote[894].start 5223.36659375
transcript.pyannote[894].end 5224.10909375
transcript.pyannote[895].speaker SPEAKER_06
transcript.pyannote[895].start 5225.07096875
transcript.pyannote[895].end 5225.37471875
transcript.pyannote[896].speaker SPEAKER_06
transcript.pyannote[896].start 5226.23534375
transcript.pyannote[896].end 5226.87659375
transcript.pyannote[897].speaker SPEAKER_06
transcript.pyannote[897].start 5227.45034375
transcript.pyannote[897].end 5228.42909375
transcript.pyannote[898].speaker SPEAKER_06
transcript.pyannote[898].start 5229.35721875
transcript.pyannote[898].end 5230.06596875
transcript.pyannote[899].speaker SPEAKER_06
transcript.pyannote[899].start 5231.28096875
transcript.pyannote[899].end 5232.24284375
transcript.pyannote[900].speaker SPEAKER_17
transcript.pyannote[900].start 5234.74034375
transcript.pyannote[900].end 5236.30971875
transcript.pyannote[901].speaker SPEAKER_06
transcript.pyannote[901].start 5235.76971875
transcript.pyannote[901].end 5238.53721875
transcript.pyannote[902].speaker SPEAKER_17
transcript.pyannote[902].start 5239.49909375
transcript.pyannote[902].end 5240.93346875
transcript.pyannote[903].speaker SPEAKER_06
transcript.pyannote[903].start 5240.42721875
transcript.pyannote[903].end 5241.11909375
transcript.pyannote[904].speaker SPEAKER_06
transcript.pyannote[904].start 5241.72659375
transcript.pyannote[904].end 5242.95846875
transcript.pyannote[905].speaker SPEAKER_17
transcript.pyannote[905].start 5242.03034375
transcript.pyannote[905].end 5242.90784375
transcript.pyannote[906].speaker SPEAKER_17
transcript.pyannote[906].start 5242.95846875
transcript.pyannote[906].end 5242.99221875
transcript.pyannote[907].speaker SPEAKER_17
transcript.pyannote[907].start 5243.54909375
transcript.pyannote[907].end 5245.47284375
transcript.pyannote[908].speaker SPEAKER_06
transcript.pyannote[908].start 5245.11846875
transcript.pyannote[908].end 5257.77471875
transcript.pyannote[909].speaker SPEAKER_06
transcript.pyannote[909].start 5259.36096875
transcript.pyannote[909].end 5274.24471875
transcript.pyannote[910].speaker SPEAKER_06
transcript.pyannote[910].start 5275.24034375
transcript.pyannote[910].end 5277.67034375
transcript.pyannote[911].speaker SPEAKER_06
transcript.pyannote[911].start 5278.02471875
transcript.pyannote[911].end 5283.25596875
transcript.pyannote[912].speaker SPEAKER_06
transcript.pyannote[912].start 5284.55534375
transcript.pyannote[912].end 5296.40159375
transcript.pyannote[913].speaker SPEAKER_06
transcript.pyannote[913].start 5296.90784375
transcript.pyannote[913].end 5299.57409375
transcript.pyannote[914].speaker SPEAKER_06
transcript.pyannote[914].start 5299.77659375
transcript.pyannote[914].end 5301.26159375
transcript.pyannote[915].speaker SPEAKER_06
transcript.pyannote[915].start 5302.56096875
transcript.pyannote[915].end 5309.59784375
transcript.pyannote[916].speaker SPEAKER_06
transcript.pyannote[916].start 5309.76659375
transcript.pyannote[916].end 5311.31909375
transcript.pyannote[917].speaker SPEAKER_06
transcript.pyannote[917].start 5311.87596875
transcript.pyannote[917].end 5313.63096875
transcript.pyannote[918].speaker SPEAKER_06
transcript.pyannote[918].start 5314.03596875
transcript.pyannote[918].end 5326.00034375
transcript.pyannote[919].speaker SPEAKER_06
transcript.pyannote[919].start 5326.10159375
transcript.pyannote[919].end 5328.81846875
transcript.pyannote[920].speaker SPEAKER_06
transcript.pyannote[920].start 5331.14721875
transcript.pyannote[920].end 5333.18909375
transcript.pyannote[921].speaker SPEAKER_06
transcript.pyannote[921].start 5333.76284375
transcript.pyannote[921].end 5334.91034375
transcript.pyannote[922].speaker SPEAKER_06
transcript.pyannote[922].start 5335.53471875
transcript.pyannote[922].end 5337.20534375
transcript.pyannote[923].speaker SPEAKER_06
transcript.pyannote[923].start 5337.82971875
transcript.pyannote[923].end 5345.27159375
transcript.pyannote[924].speaker SPEAKER_06
transcript.pyannote[924].start 5345.79471875
transcript.pyannote[924].end 5348.61284375
transcript.pyannote[925].speaker SPEAKER_06
transcript.pyannote[925].start 5349.13596875
transcript.pyannote[925].end 5350.84034375
transcript.pyannote[926].speaker SPEAKER_06
transcript.pyannote[926].start 5351.83596875
transcript.pyannote[926].end 5354.01284375
transcript.pyannote[927].speaker SPEAKER_06
transcript.pyannote[927].start 5354.73846875
transcript.pyannote[927].end 5355.53159375
transcript.pyannote[928].speaker SPEAKER_17
transcript.pyannote[928].start 5354.85659375
transcript.pyannote[928].end 5354.92409375
transcript.pyannote[929].speaker SPEAKER_17
transcript.pyannote[929].start 5355.68346875
transcript.pyannote[929].end 5357.05034375
transcript.pyannote[930].speaker SPEAKER_17
transcript.pyannote[930].start 5357.08409375
transcript.pyannote[930].end 5357.16846875
transcript.pyannote[931].speaker SPEAKER_06
transcript.pyannote[931].start 5357.10096875
transcript.pyannote[931].end 5369.26784375
transcript.pyannote[932].speaker SPEAKER_17
transcript.pyannote[932].start 5357.20221875
transcript.pyannote[932].end 5357.23596875
transcript.pyannote[933].speaker SPEAKER_06
transcript.pyannote[933].start 5371.03971875
transcript.pyannote[933].end 5371.68096875
transcript.pyannote[934].speaker SPEAKER_06
transcript.pyannote[934].start 5372.06909375
transcript.pyannote[934].end 5373.48659375
transcript.pyannote[935].speaker SPEAKER_06
transcript.pyannote[935].start 5373.79034375
transcript.pyannote[935].end 5376.45659375
transcript.pyannote[936].speaker SPEAKER_06
transcript.pyannote[936].start 5376.86159375
transcript.pyannote[936].end 5378.05971875
transcript.pyannote[937].speaker SPEAKER_06
transcript.pyannote[937].start 5378.46471875
transcript.pyannote[937].end 5380.03409375
transcript.pyannote[938].speaker SPEAKER_06
transcript.pyannote[938].start 5381.19846875
transcript.pyannote[938].end 5381.65409375
transcript.pyannote[939].speaker SPEAKER_06
transcript.pyannote[939].start 5382.32909375
transcript.pyannote[939].end 5383.18971875
transcript.pyannote[940].speaker SPEAKER_06
transcript.pyannote[940].start 5383.79721875
transcript.pyannote[940].end 5386.83471875
transcript.pyannote[941].speaker SPEAKER_17
transcript.pyannote[941].start 5387.42534375
transcript.pyannote[941].end 5387.79659375
transcript.pyannote[942].speaker SPEAKER_17
transcript.pyannote[942].start 5387.96534375
transcript.pyannote[942].end 5397.61784375
transcript.pyannote[943].speaker SPEAKER_06
transcript.pyannote[943].start 5397.22971875
transcript.pyannote[943].end 5400.04784375
transcript.pyannote[944].speaker SPEAKER_06
transcript.pyannote[944].start 5401.51596875
transcript.pyannote[944].end 5403.16971875
transcript.pyannote[945].speaker SPEAKER_06
transcript.pyannote[945].start 5403.43971875
transcript.pyannote[945].end 5405.66721875
transcript.pyannote[946].speaker SPEAKER_06
transcript.pyannote[946].start 5406.94971875
transcript.pyannote[946].end 5409.64971875
transcript.pyannote[947].speaker SPEAKER_06
transcript.pyannote[947].start 5410.66221875
transcript.pyannote[947].end 5411.03346875
transcript.pyannote[948].speaker SPEAKER_06
transcript.pyannote[948].start 5411.15159375
transcript.pyannote[948].end 5413.41284375
transcript.pyannote[949].speaker SPEAKER_06
transcript.pyannote[949].start 5414.03721875
transcript.pyannote[949].end 5418.72846875
transcript.pyannote[950].speaker SPEAKER_06
transcript.pyannote[950].start 5419.31909375
transcript.pyannote[950].end 5420.31471875
transcript.pyannote[951].speaker SPEAKER_06
transcript.pyannote[951].start 5420.95596875
transcript.pyannote[951].end 5424.17909375
transcript.pyannote[952].speaker SPEAKER_06
transcript.pyannote[952].start 5424.46596875
transcript.pyannote[952].end 5425.39409375
transcript.pyannote[953].speaker SPEAKER_06
transcript.pyannote[953].start 5426.25471875
transcript.pyannote[953].end 5427.06471875
transcript.pyannote[954].speaker SPEAKER_06
transcript.pyannote[954].start 5427.30096875
transcript.pyannote[954].end 5429.74784375
transcript.pyannote[955].speaker SPEAKER_09
transcript.pyannote[955].start 5431.84034375
transcript.pyannote[955].end 5432.65034375
transcript.pyannote[956].speaker SPEAKER_11
transcript.pyannote[956].start 5432.98784375
transcript.pyannote[956].end 5436.46409375
transcript.pyannote[957].speaker SPEAKER_09
transcript.pyannote[957].start 5436.95346875
transcript.pyannote[957].end 5437.18971875
transcript.pyannote[958].speaker SPEAKER_11
transcript.pyannote[958].start 5437.18971875
transcript.pyannote[958].end 5442.74159375
transcript.pyannote[959].speaker SPEAKER_09
transcript.pyannote[959].start 5437.20659375
transcript.pyannote[959].end 5437.86471875
transcript.pyannote[960].speaker SPEAKER_13
transcript.pyannote[960].start 5437.86471875
transcript.pyannote[960].end 5437.91534375
transcript.pyannote[961].speaker SPEAKER_15
transcript.pyannote[961].start 5437.91534375
transcript.pyannote[961].end 5437.94909375
transcript.pyannote[962].speaker SPEAKER_09
transcript.pyannote[962].start 5438.11784375
transcript.pyannote[962].end 5438.65784375
transcript.pyannote[963].speaker SPEAKER_13
transcript.pyannote[963].start 5438.65784375
transcript.pyannote[963].end 5438.74221875
transcript.pyannote[964].speaker SPEAKER_09
transcript.pyannote[964].start 5438.74221875
transcript.pyannote[964].end 5438.75909375
transcript.pyannote[965].speaker SPEAKER_13
transcript.pyannote[965].start 5438.75909375
transcript.pyannote[965].end 5438.79284375
transcript.pyannote[966].speaker SPEAKER_09
transcript.pyannote[966].start 5438.79284375
transcript.pyannote[966].end 5438.80971875
transcript.pyannote[967].speaker SPEAKER_13
transcript.pyannote[967].start 5438.80971875
transcript.pyannote[967].end 5439.77159375
transcript.pyannote[968].speaker SPEAKER_09
transcript.pyannote[968].start 5439.77159375
transcript.pyannote[968].end 5439.80534375
transcript.pyannote[969].speaker SPEAKER_15
transcript.pyannote[969].start 5440.96971875
transcript.pyannote[969].end 5440.98659375
transcript.pyannote[970].speaker SPEAKER_13
transcript.pyannote[970].start 5440.98659375
transcript.pyannote[970].end 5441.03721875
transcript.pyannote[971].speaker SPEAKER_10
transcript.pyannote[971].start 5441.03721875
transcript.pyannote[971].end 5441.39159375
transcript.pyannote[972].speaker SPEAKER_15
transcript.pyannote[972].start 5441.39159375
transcript.pyannote[972].end 5441.42534375
transcript.pyannote[973].speaker SPEAKER_13
transcript.pyannote[973].start 5441.69534375
transcript.pyannote[973].end 5441.72909375
transcript.pyannote[974].speaker SPEAKER_10
transcript.pyannote[974].start 5441.72909375
transcript.pyannote[974].end 5442.03284375
transcript.pyannote[975].speaker SPEAKER_13
transcript.pyannote[975].start 5442.03284375
transcript.pyannote[975].end 5442.16784375
transcript.pyannote[976].speaker SPEAKER_10
transcript.pyannote[976].start 5442.16784375
transcript.pyannote[976].end 5443.93971875
transcript.pyannote[977].speaker SPEAKER_13
transcript.pyannote[977].start 5442.74159375
transcript.pyannote[977].end 5442.82596875
transcript.pyannote[978].speaker SPEAKER_11
transcript.pyannote[978].start 5442.82596875
transcript.pyannote[978].end 5442.96096875
transcript.pyannote[979].speaker SPEAKER_13
transcript.pyannote[979].start 5442.96096875
transcript.pyannote[979].end 5443.36596875
transcript.pyannote[980].speaker SPEAKER_11
transcript.pyannote[980].start 5443.36596875
transcript.pyannote[980].end 5443.83846875
transcript.pyannote[981].speaker SPEAKER_11
transcript.pyannote[981].start 5444.37846875
transcript.pyannote[981].end 5448.96846875
transcript.pyannote[982].speaker SPEAKER_13
transcript.pyannote[982].start 5448.15846875
transcript.pyannote[982].end 5449.33971875
transcript.pyannote[983].speaker SPEAKER_10
transcript.pyannote[983].start 5450.31846875
transcript.pyannote[983].end 5450.35221875
transcript.pyannote[984].speaker SPEAKER_11
transcript.pyannote[984].start 5450.35221875
transcript.pyannote[984].end 5450.36909375
transcript.pyannote[985].speaker SPEAKER_13
transcript.pyannote[985].start 5450.36909375
transcript.pyannote[985].end 5450.43659375
transcript.pyannote[986].speaker SPEAKER_11
transcript.pyannote[986].start 5450.40284375
transcript.pyannote[986].end 5450.97659375
transcript.pyannote[987].speaker SPEAKER_06
transcript.pyannote[987].start 5450.43659375
transcript.pyannote[987].end 5451.34784375
transcript.pyannote[988].speaker SPEAKER_13
transcript.pyannote[988].start 5450.97659375
transcript.pyannote[988].end 5451.51659375
transcript.pyannote[989].speaker SPEAKER_11
transcript.pyannote[989].start 5451.51659375
transcript.pyannote[989].end 5452.02284375
transcript.pyannote[990].speaker SPEAKER_11
transcript.pyannote[990].start 5452.07346875
transcript.pyannote[990].end 5453.03534375
transcript.pyannote[991].speaker SPEAKER_10
transcript.pyannote[991].start 5453.03534375
transcript.pyannote[991].end 5453.08596875
transcript.pyannote[992].speaker SPEAKER_11
transcript.pyannote[992].start 5453.08596875
transcript.pyannote[992].end 5453.23784375
transcript.pyannote[993].speaker SPEAKER_10
transcript.pyannote[993].start 5453.23784375
transcript.pyannote[993].end 5453.27159375
transcript.pyannote[994].speaker SPEAKER_06
transcript.pyannote[994].start 5454.26721875
transcript.pyannote[994].end 5465.75909375
transcript.pyannote[995].speaker SPEAKER_06
transcript.pyannote[995].start 5465.92784375
transcript.pyannote[995].end 5493.80534375
transcript.pyannote[996].speaker SPEAKER_06
transcript.pyannote[996].start 5494.17659375
transcript.pyannote[996].end 5508.09846875
transcript.pyannote[997].speaker SPEAKER_06
transcript.pyannote[997].start 5508.18284375
transcript.pyannote[997].end 5514.83159375
transcript.pyannote[998].speaker SPEAKER_06
transcript.pyannote[998].start 5515.72596875
transcript.pyannote[998].end 5517.53159375
transcript.pyannote[999].speaker SPEAKER_06
transcript.pyannote[999].start 5518.45971875
transcript.pyannote[999].end 5519.91096875
transcript.pyannote[1000].speaker SPEAKER_06
transcript.pyannote[1000].start 5520.07971875
transcript.pyannote[1000].end 5521.58159375
transcript.pyannote[1001].speaker SPEAKER_06
transcript.pyannote[1001].start 5522.25659375
transcript.pyannote[1001].end 5522.94846875
transcript.pyannote[1002].speaker SPEAKER_06
transcript.pyannote[1002].start 5523.91034375
transcript.pyannote[1002].end 5525.10846875
transcript.pyannote[1003].speaker SPEAKER_17
transcript.pyannote[1003].start 5525.83409375
transcript.pyannote[1003].end 5528.38221875
transcript.pyannote[1004].speaker SPEAKER_06
transcript.pyannote[1004].start 5528.63534375
transcript.pyannote[1004].end 5531.67284375
transcript.pyannote[1005].speaker SPEAKER_06
transcript.pyannote[1005].start 5531.80784375
transcript.pyannote[1005].end 5535.36846875
transcript.pyannote[1006].speaker SPEAKER_06
transcript.pyannote[1006].start 5536.68471875
transcript.pyannote[1006].end 5537.62971875
transcript.pyannote[1007].speaker SPEAKER_10
transcript.pyannote[1007].start 5539.48596875
transcript.pyannote[1007].end 5539.50284375
transcript.pyannote[1008].speaker SPEAKER_06
transcript.pyannote[1008].start 5539.50284375
transcript.pyannote[1008].end 5539.77284375
transcript.pyannote[1009].speaker SPEAKER_06
transcript.pyannote[1009].start 5540.53221875
transcript.pyannote[1009].end 5541.44346875
transcript.pyannote[1010].speaker SPEAKER_17
transcript.pyannote[1010].start 5541.74721875
transcript.pyannote[1010].end 5544.44721875
transcript.pyannote[1011].speaker SPEAKER_06
transcript.pyannote[1011].start 5543.63721875
transcript.pyannote[1011].end 5549.34096875
transcript.pyannote[1012].speaker SPEAKER_17
transcript.pyannote[1012].start 5547.33284375
transcript.pyannote[1012].end 5547.97409375
transcript.pyannote[1013].speaker SPEAKER_06
transcript.pyannote[1013].start 5550.01596875
transcript.pyannote[1013].end 5557.76159375
transcript.pyannote[1014].speaker SPEAKER_06
transcript.pyannote[1014].start 5559.06096875
transcript.pyannote[1014].end 5564.08971875
transcript.pyannote[1015].speaker SPEAKER_17
transcript.pyannote[1015].start 5565.92909375
transcript.pyannote[1015].end 5569.94534375
transcript.pyannote[1016].speaker SPEAKER_06
transcript.pyannote[1016].start 5568.15659375
transcript.pyannote[1016].end 5579.02409375
transcript.pyannote[1017].speaker SPEAKER_17
transcript.pyannote[1017].start 5571.68346875
transcript.pyannote[1017].end 5571.93659375
transcript.pyannote[1018].speaker SPEAKER_17
transcript.pyannote[1018].start 5571.95346875
transcript.pyannote[1018].end 5571.97034375
transcript.pyannote[1019].speaker SPEAKER_17
transcript.pyannote[1019].start 5572.13909375
transcript.pyannote[1019].end 5572.30784375
transcript.pyannote[1020].speaker SPEAKER_06
transcript.pyannote[1020].start 5580.13784375
transcript.pyannote[1020].end 5595.46034375
transcript.pyannote[1021].speaker SPEAKER_06
transcript.pyannote[1021].start 5597.01284375
transcript.pyannote[1021].end 5598.78471875
transcript.pyannote[1022].speaker SPEAKER_06
transcript.pyannote[1022].start 5599.34159375
transcript.pyannote[1022].end 5599.94909375
transcript.pyannote[1023].speaker SPEAKER_06
transcript.pyannote[1023].start 5600.74221875
transcript.pyannote[1023].end 5601.56909375
transcript.pyannote[1024].speaker SPEAKER_06
transcript.pyannote[1024].start 5601.75471875
transcript.pyannote[1024].end 5602.56471875
transcript.pyannote[1025].speaker SPEAKER_06
transcript.pyannote[1025].start 5602.66596875
transcript.pyannote[1025].end 5603.40846875
transcript.pyannote[1026].speaker SPEAKER_06
transcript.pyannote[1026].start 5603.86409375
transcript.pyannote[1026].end 5607.30659375
transcript.pyannote[1027].speaker SPEAKER_06
transcript.pyannote[1027].start 5607.98159375
transcript.pyannote[1027].end 5608.82534375
transcript.pyannote[1028].speaker SPEAKER_06
transcript.pyannote[1028].start 5609.65221875
transcript.pyannote[1028].end 5626.96596875
transcript.pyannote[1029].speaker SPEAKER_06
transcript.pyannote[1029].start 5627.13471875
transcript.pyannote[1029].end 5639.33534375
transcript.pyannote[1030].speaker SPEAKER_06
transcript.pyannote[1030].start 5640.33096875
transcript.pyannote[1030].end 5641.83284375
transcript.pyannote[1031].speaker SPEAKER_06
transcript.pyannote[1031].start 5642.59221875
transcript.pyannote[1031].end 5657.39159375
transcript.pyannote[1032].speaker SPEAKER_06
transcript.pyannote[1032].start 5658.20159375
transcript.pyannote[1032].end 5659.07909375
transcript.pyannote[1033].speaker SPEAKER_06
transcript.pyannote[1033].start 5659.82159375
transcript.pyannote[1033].end 5660.36159375
transcript.pyannote[1034].speaker SPEAKER_06
transcript.pyannote[1034].start 5660.86784375
transcript.pyannote[1034].end 5671.27971875
transcript.pyannote[1035].speaker SPEAKER_06
transcript.pyannote[1035].start 5671.56659375
transcript.pyannote[1035].end 5678.09721875
transcript.pyannote[1036].speaker SPEAKER_06
transcript.pyannote[1036].start 5678.68784375
transcript.pyannote[1036].end 5685.75846875
transcript.pyannote[1037].speaker SPEAKER_06
transcript.pyannote[1037].start 5687.07471875
transcript.pyannote[1037].end 5688.07034375
transcript.pyannote[1038].speaker SPEAKER_06
transcript.pyannote[1038].start 5689.13346875
transcript.pyannote[1038].end 5689.48784375
transcript.pyannote[1039].speaker SPEAKER_06
transcript.pyannote[1039].start 5689.69034375
transcript.pyannote[1039].end 5690.80409375
transcript.pyannote[1040].speaker SPEAKER_06
transcript.pyannote[1040].start 5690.97284375
transcript.pyannote[1040].end 5692.71096875
transcript.pyannote[1041].speaker SPEAKER_06
transcript.pyannote[1041].start 5693.06534375
transcript.pyannote[1041].end 5695.73159375
transcript.pyannote[1042].speaker SPEAKER_06
transcript.pyannote[1042].start 5696.44034375
transcript.pyannote[1042].end 5697.46971875
transcript.pyannote[1043].speaker SPEAKER_17
transcript.pyannote[1043].start 5698.09409375
transcript.pyannote[1043].end 5703.79784375
transcript.pyannote[1044].speaker SPEAKER_06
transcript.pyannote[1044].start 5699.62971875
transcript.pyannote[1044].end 5704.47284375
transcript.pyannote[1045].speaker SPEAKER_06
transcript.pyannote[1045].start 5705.04659375
transcript.pyannote[1045].end 5711.02034375
transcript.pyannote[1046].speaker SPEAKER_06
transcript.pyannote[1046].start 5711.30721875
transcript.pyannote[1046].end 5712.26909375
transcript.pyannote[1047].speaker SPEAKER_17
transcript.pyannote[1047].start 5712.96096875
transcript.pyannote[1047].end 5721.21284375
transcript.pyannote[1048].speaker SPEAKER_06
transcript.pyannote[1048].start 5719.23846875
transcript.pyannote[1048].end 5719.99784375
transcript.pyannote[1049].speaker SPEAKER_06
transcript.pyannote[1049].start 5720.62221875
transcript.pyannote[1049].end 5721.92159375
transcript.pyannote[1050].speaker SPEAKER_17
transcript.pyannote[1050].start 5721.92159375
transcript.pyannote[1050].end 5722.29284375
transcript.pyannote[1051].speaker SPEAKER_06
transcript.pyannote[1051].start 5722.29284375
transcript.pyannote[1051].end 5724.41909375
transcript.pyannote[1052].speaker SPEAKER_17
transcript.pyannote[1052].start 5722.32659375
transcript.pyannote[1052].end 5722.34346875
transcript.pyannote[1053].speaker SPEAKER_06
transcript.pyannote[1053].start 5724.82409375
transcript.pyannote[1053].end 5739.85971875
transcript.pyannote[1054].speaker SPEAKER_17
transcript.pyannote[1054].start 5725.04346875
transcript.pyannote[1054].end 5725.34721875
transcript.pyannote[1055].speaker SPEAKER_06
transcript.pyannote[1055].start 5740.43346875
transcript.pyannote[1055].end 5741.63159375
transcript.pyannote[1056].speaker SPEAKER_06
transcript.pyannote[1056].start 5745.14159375
transcript.pyannote[1056].end 5745.96846875
transcript.pyannote[1057].speaker SPEAKER_06
transcript.pyannote[1057].start 5747.75721875
transcript.pyannote[1057].end 5749.07346875
transcript.pyannote[1058].speaker SPEAKER_06
transcript.pyannote[1058].start 5750.01846875
transcript.pyannote[1058].end 5751.08159375
transcript.pyannote[1059].speaker SPEAKER_06
transcript.pyannote[1059].start 5751.75659375
transcript.pyannote[1059].end 5753.08971875
transcript.pyannote[1060].speaker SPEAKER_06
transcript.pyannote[1060].start 5753.57909375
transcript.pyannote[1060].end 5756.63346875
transcript.pyannote[1061].speaker SPEAKER_13
transcript.pyannote[1061].start 5754.16971875
transcript.pyannote[1061].end 5754.33846875
transcript.pyannote[1062].speaker SPEAKER_06
transcript.pyannote[1062].start 5757.32534375
transcript.pyannote[1062].end 5761.91534375
transcript.pyannote[1063].speaker SPEAKER_06
transcript.pyannote[1063].start 5763.33284375
transcript.pyannote[1063].end 5775.63471875
transcript.pyannote[1064].speaker SPEAKER_06
transcript.pyannote[1064].start 5776.32659375
transcript.pyannote[1064].end 5778.68909375
transcript.pyannote[1065].speaker SPEAKER_06
transcript.pyannote[1065].start 5779.22909375
transcript.pyannote[1065].end 5780.05596875
transcript.pyannote[1066].speaker SPEAKER_06
transcript.pyannote[1066].start 5780.25846875
transcript.pyannote[1066].end 5785.42221875
transcript.pyannote[1067].speaker SPEAKER_06
transcript.pyannote[1067].start 5785.82721875
transcript.pyannote[1067].end 5792.10471875
transcript.pyannote[1068].speaker SPEAKER_06
transcript.pyannote[1068].start 5792.69534375
transcript.pyannote[1068].end 5793.79221875
transcript.pyannote[1069].speaker SPEAKER_06
transcript.pyannote[1069].start 5794.85534375
transcript.pyannote[1069].end 5801.06534375
transcript.pyannote[1070].speaker SPEAKER_06
transcript.pyannote[1070].start 5801.33534375
transcript.pyannote[1070].end 5802.31409375
transcript.pyannote[1071].speaker SPEAKER_06
transcript.pyannote[1071].start 5802.98909375
transcript.pyannote[1071].end 5804.33909375
transcript.pyannote[1072].speaker SPEAKER_06
transcript.pyannote[1072].start 5806.60034375
transcript.pyannote[1072].end 5809.18221875
transcript.pyannote[1073].speaker SPEAKER_06
transcript.pyannote[1073].start 5809.58721875
transcript.pyannote[1073].end 5809.77284375
transcript.pyannote[1074].speaker SPEAKER_06
transcript.pyannote[1074].start 5810.16096875
transcript.pyannote[1074].end 5815.15596875
transcript.pyannote[1075].speaker SPEAKER_06
transcript.pyannote[1075].start 5816.03346875
transcript.pyannote[1075].end 5823.08721875
transcript.pyannote[1076].speaker SPEAKER_17
transcript.pyannote[1076].start 5824.13346875
transcript.pyannote[1076].end 5828.26784375
transcript.pyannote[1077].speaker SPEAKER_06
transcript.pyannote[1077].start 5827.08659375
transcript.pyannote[1077].end 5830.83284375
transcript.pyannote[1078].speaker SPEAKER_17
transcript.pyannote[1078].start 5831.22096875
transcript.pyannote[1078].end 5838.62909375
transcript.pyannote[1079].speaker SPEAKER_06
transcript.pyannote[1079].start 5837.46471875
transcript.pyannote[1079].end 5840.13096875
transcript.pyannote[1080].speaker SPEAKER_06
transcript.pyannote[1080].start 5840.95784375
transcript.pyannote[1080].end 5848.56846875
transcript.pyannote[1081].speaker SPEAKER_06
transcript.pyannote[1081].start 5850.35721875
transcript.pyannote[1081].end 5856.60096875
transcript.pyannote[1082].speaker SPEAKER_06
transcript.pyannote[1082].start 5857.02284375
transcript.pyannote[1082].end 5861.15721875
transcript.pyannote[1083].speaker SPEAKER_06
transcript.pyannote[1083].start 5861.62971875
transcript.pyannote[1083].end 5874.74159375
transcript.pyannote[1084].speaker SPEAKER_17
transcript.pyannote[1084].start 5875.58534375
transcript.pyannote[1084].end 5877.61034375
transcript.pyannote[1085].speaker SPEAKER_06
transcript.pyannote[1085].start 5877.61034375
transcript.pyannote[1085].end 5918.11034375
transcript.pyannote[1086].speaker SPEAKER_17
transcript.pyannote[1086].start 5878.79159375
transcript.pyannote[1086].end 5878.97721875
transcript.pyannote[1087].speaker SPEAKER_17
transcript.pyannote[1087].start 5878.99409375
transcript.pyannote[1087].end 5879.97284375
transcript.pyannote[1088].speaker SPEAKER_06
transcript.pyannote[1088].start 5919.22409375
transcript.pyannote[1088].end 5921.72159375
transcript.pyannote[1089].speaker SPEAKER_06
transcript.pyannote[1089].start 5922.21096875
transcript.pyannote[1089].end 5926.71659375
transcript.pyannote[1090].speaker SPEAKER_06
transcript.pyannote[1090].start 5927.29034375
transcript.pyannote[1090].end 5927.76284375
transcript.pyannote[1091].speaker SPEAKER_06
transcript.pyannote[1091].start 5928.04971875
transcript.pyannote[1091].end 5930.90159375
transcript.pyannote[1092].speaker SPEAKER_06
transcript.pyannote[1092].start 5933.98971875
transcript.pyannote[1092].end 5934.46221875
transcript.pyannote[1093].speaker SPEAKER_17
transcript.pyannote[1093].start 5935.00221875
transcript.pyannote[1093].end 5937.26346875
transcript.pyannote[1094].speaker SPEAKER_06
transcript.pyannote[1094].start 5936.43659375
transcript.pyannote[1094].end 5937.88784375
transcript.pyannote[1095].speaker SPEAKER_06
transcript.pyannote[1095].start 5937.97221875
transcript.pyannote[1095].end 5938.88346875
transcript.pyannote[1096].speaker SPEAKER_06
transcript.pyannote[1096].start 5939.71034375
transcript.pyannote[1096].end 5942.52846875
transcript.pyannote[1097].speaker SPEAKER_06
transcript.pyannote[1097].start 5943.01784375
transcript.pyannote[1097].end 5950.54409375
transcript.pyannote[1098].speaker SPEAKER_17
transcript.pyannote[1098].start 5951.25284375
transcript.pyannote[1098].end 5954.32409375
transcript.pyannote[1099].speaker SPEAKER_06
transcript.pyannote[1099].start 5952.50159375
transcript.pyannote[1099].end 5954.22284375
transcript.pyannote[1100].speaker SPEAKER_17
transcript.pyannote[1100].start 5954.54346875
transcript.pyannote[1100].end 5956.55159375
transcript.pyannote[1101].speaker SPEAKER_06
transcript.pyannote[1101].start 5956.65284375
transcript.pyannote[1101].end 5978.10096875
transcript.pyannote[1102].speaker SPEAKER_17
transcript.pyannote[1102].start 5978.92784375
transcript.pyannote[1102].end 5981.61096875
transcript.pyannote[1103].speaker SPEAKER_06
transcript.pyannote[1103].start 5980.48034375
transcript.pyannote[1103].end 5984.63159375
transcript.pyannote[1104].speaker SPEAKER_16
transcript.pyannote[1104].start 5982.10034375
transcript.pyannote[1104].end 5982.65721875
transcript.pyannote[1105].speaker SPEAKER_17
transcript.pyannote[1105].start 5982.65721875
transcript.pyannote[1105].end 5982.67409375
transcript.pyannote[1106].speaker SPEAKER_16
transcript.pyannote[1106].start 5982.67409375
transcript.pyannote[1106].end 5982.77534375
transcript.pyannote[1107].speaker SPEAKER_17
transcript.pyannote[1107].start 5982.77534375
transcript.pyannote[1107].end 5983.33221875
transcript.pyannote[1108].speaker SPEAKER_17
transcript.pyannote[1108].start 5984.91846875
transcript.pyannote[1108].end 5986.20096875
transcript.pyannote[1109].speaker SPEAKER_06
transcript.pyannote[1109].start 5986.20096875
transcript.pyannote[1109].end 5989.06971875
transcript.pyannote[1110].speaker SPEAKER_06
transcript.pyannote[1110].start 5990.23409375
transcript.pyannote[1110].end 5998.21596875
transcript.pyannote[1111].speaker SPEAKER_06
transcript.pyannote[1111].start 5998.75596875
transcript.pyannote[1111].end 6002.02971875
transcript.pyannote[1112].speaker SPEAKER_06
transcript.pyannote[1112].start 6002.13096875
transcript.pyannote[1112].end 6003.36284375
transcript.pyannote[1113].speaker SPEAKER_17
transcript.pyannote[1113].start 6004.12221875
transcript.pyannote[1113].end 6009.57284375
transcript.pyannote[1114].speaker SPEAKER_06
transcript.pyannote[1114].start 6010.51784375
transcript.pyannote[1114].end 6015.76596875
transcript.pyannote[1115].speaker SPEAKER_06
transcript.pyannote[1115].start 6016.35659375
transcript.pyannote[1115].end 6017.65596875
transcript.pyannote[1116].speaker SPEAKER_06
transcript.pyannote[1116].start 6018.36471875
transcript.pyannote[1116].end 6027.30846875
transcript.pyannote[1117].speaker SPEAKER_17
transcript.pyannote[1117].start 6028.25346875
transcript.pyannote[1117].end 6028.77659375
transcript.pyannote[1118].speaker SPEAKER_17
transcript.pyannote[1118].start 6029.36721875
transcript.pyannote[1118].end 6037.58534375
transcript.pyannote[1119].speaker SPEAKER_06
transcript.pyannote[1119].start 6035.08784375
transcript.pyannote[1119].end 6037.50096875
transcript.pyannote[1120].speaker SPEAKER_06
transcript.pyannote[1120].start 6037.58534375
transcript.pyannote[1120].end 6037.63596875
transcript.pyannote[1121].speaker SPEAKER_06
transcript.pyannote[1121].start 6037.77096875
transcript.pyannote[1121].end 6037.80471875
transcript.pyannote[1122].speaker SPEAKER_17
transcript.pyannote[1122].start 6037.80471875
transcript.pyannote[1122].end 6038.27721875
transcript.pyannote[1123].speaker SPEAKER_06
transcript.pyannote[1123].start 6038.27721875
transcript.pyannote[1123].end 6045.75284375
transcript.pyannote[1124].speaker SPEAKER_17
transcript.pyannote[1124].start 6038.39534375
transcript.pyannote[1124].end 6039.10409375
transcript.pyannote[1125].speaker SPEAKER_17
transcript.pyannote[1125].start 6040.11659375
transcript.pyannote[1125].end 6040.35284375
transcript.pyannote[1126].speaker SPEAKER_17
transcript.pyannote[1126].start 6040.43721875
transcript.pyannote[1126].end 6040.55534375
transcript.pyannote[1127].speaker SPEAKER_17
transcript.pyannote[1127].start 6040.60596875
transcript.pyannote[1127].end 6040.62284375
transcript.pyannote[1128].speaker SPEAKER_17
transcript.pyannote[1128].start 6045.75284375
transcript.pyannote[1128].end 6045.76971875
transcript.pyannote[1129].speaker SPEAKER_17
transcript.pyannote[1129].start 6046.27596875
transcript.pyannote[1129].end 6053.92034375
transcript.pyannote[1130].speaker SPEAKER_06
transcript.pyannote[1130].start 6048.80721875
transcript.pyannote[1130].end 6049.63409375
transcript.pyannote[1131].speaker SPEAKER_06
transcript.pyannote[1131].start 6050.51159375
transcript.pyannote[1131].end 6051.49034375
transcript.pyannote[1132].speaker SPEAKER_06
transcript.pyannote[1132].start 6052.24971875
transcript.pyannote[1132].end 6052.80659375
transcript.pyannote[1133].speaker SPEAKER_13
transcript.pyannote[1133].start 6052.80659375
transcript.pyannote[1133].end 6053.68409375
transcript.pyannote[1134].speaker SPEAKER_17
transcript.pyannote[1134].start 6054.69659375
transcript.pyannote[1134].end 6055.18596875
transcript.pyannote[1135].speaker SPEAKER_17
transcript.pyannote[1135].start 6055.48971875
transcript.pyannote[1135].end 6055.97909375
transcript.pyannote[1136].speaker SPEAKER_17
transcript.pyannote[1136].start 6056.24909375
transcript.pyannote[1136].end 6065.96909375
transcript.pyannote[1137].speaker SPEAKER_06
transcript.pyannote[1137].start 6057.24471875
transcript.pyannote[1137].end 6059.86034375
transcript.pyannote[1138].speaker SPEAKER_06
transcript.pyannote[1138].start 6061.46346875
transcript.pyannote[1138].end 6075.84096875
transcript.pyannote[1139].speaker SPEAKER_06
transcript.pyannote[1139].start 6077.20784375
transcript.pyannote[1139].end 6080.66721875
transcript.pyannote[1140].speaker SPEAKER_06
transcript.pyannote[1140].start 6081.84846875
transcript.pyannote[1140].end 6083.53596875
transcript.pyannote[1141].speaker SPEAKER_06
transcript.pyannote[1141].start 6084.24471875
transcript.pyannote[1141].end 6088.46346875
transcript.pyannote[1142].speaker SPEAKER_17
transcript.pyannote[1142].start 6086.62409375
transcript.pyannote[1142].end 6086.91096875
transcript.pyannote[1143].speaker SPEAKER_06
transcript.pyannote[1143].start 6088.98659375
transcript.pyannote[1143].end 6090.80909375
transcript.pyannote[1144].speaker SPEAKER_17
transcript.pyannote[1144].start 6089.35784375
transcript.pyannote[1144].end 6089.66159375
transcript.pyannote[1145].speaker SPEAKER_17
transcript.pyannote[1145].start 6089.93159375
transcript.pyannote[1145].end 6090.23534375
transcript.pyannote[1146].speaker SPEAKER_06
transcript.pyannote[1146].start 6091.48409375
transcript.pyannote[1146].end 6092.31096875
transcript.pyannote[1147].speaker SPEAKER_06
transcript.pyannote[1147].start 6093.34034375
transcript.pyannote[1147].end 6094.01534375
transcript.pyannote[1148].speaker SPEAKER_06
transcript.pyannote[1148].start 6094.21784375
transcript.pyannote[1148].end 6095.98971875
transcript.pyannote[1149].speaker SPEAKER_06
transcript.pyannote[1149].start 6096.46221875
transcript.pyannote[1149].end 6098.90909375
transcript.pyannote[1150].speaker SPEAKER_01
transcript.pyannote[1150].start 6108.84846875
transcript.pyannote[1150].end 6110.82284375
transcript.pyannote[1151].speaker SPEAKER_01
transcript.pyannote[1151].start 6112.88159375
transcript.pyannote[1151].end 6116.08784375
transcript.pyannote[1152].speaker SPEAKER_01
transcript.pyannote[1152].start 6116.27346875
transcript.pyannote[1152].end 6120.18846875
transcript.pyannote[1153].speaker SPEAKER_12
transcript.pyannote[1153].start 6130.34721875
transcript.pyannote[1153].end 6132.32159375
transcript.pyannote[1154].speaker SPEAKER_01
transcript.pyannote[1154].start 6132.32159375
transcript.pyannote[1154].end 6132.33846875
transcript.pyannote[1155].speaker SPEAKER_01
transcript.pyannote[1155].start 6132.55784375
transcript.pyannote[1155].end 6134.43096875
transcript.pyannote[1156].speaker SPEAKER_12
transcript.pyannote[1156].start 6145.56846875
transcript.pyannote[1156].end 6147.17159375
transcript.pyannote[1157].speaker SPEAKER_12
transcript.pyannote[1157].start 6147.76221875
transcript.pyannote[1157].end 6152.89221875
transcript.pyannote[1158].speaker SPEAKER_12
transcript.pyannote[1158].start 6154.41096875
transcript.pyannote[1158].end 6157.19534375
transcript.pyannote[1159].speaker SPEAKER_12
transcript.pyannote[1159].start 6158.19096875
transcript.pyannote[1159].end 6159.03471875
transcript.pyannote[1160].speaker SPEAKER_17
transcript.pyannote[1160].start 6159.03471875
transcript.pyannote[1160].end 6159.05159375
transcript.pyannote[1161].speaker SPEAKER_17
transcript.pyannote[1161].start 6159.22034375
transcript.pyannote[1161].end 6161.71784375
transcript.pyannote[1162].speaker SPEAKER_12
transcript.pyannote[1162].start 6161.02596875
transcript.pyannote[1162].end 6170.02034375
transcript.pyannote[1163].speaker SPEAKER_12
transcript.pyannote[1163].start 6171.11721875
transcript.pyannote[1163].end 6177.42846875
transcript.pyannote[1164].speaker SPEAKER_12
transcript.pyannote[1164].start 6178.03596875
transcript.pyannote[1164].end 6181.25909375
transcript.pyannote[1165].speaker SPEAKER_12
transcript.pyannote[1165].start 6183.03096875
transcript.pyannote[1165].end 6185.78159375
transcript.pyannote[1166].speaker SPEAKER_12
transcript.pyannote[1166].start 6186.25409375
transcript.pyannote[1166].end 6187.95846875
transcript.pyannote[1167].speaker SPEAKER_12
transcript.pyannote[1167].start 6189.12284375
transcript.pyannote[1167].end 6190.75971875
transcript.pyannote[1168].speaker SPEAKER_12
transcript.pyannote[1168].start 6191.36721875
transcript.pyannote[1168].end 6195.29909375
transcript.pyannote[1169].speaker SPEAKER_12
transcript.pyannote[1169].start 6196.17659375
transcript.pyannote[1169].end 6197.35784375
transcript.pyannote[1170].speaker SPEAKER_17
transcript.pyannote[1170].start 6198.01596875
transcript.pyannote[1170].end 6200.22659375
transcript.pyannote[1171].speaker SPEAKER_17
transcript.pyannote[1171].start 6200.44596875
transcript.pyannote[1171].end 6200.46284375
transcript.pyannote[1172].speaker SPEAKER_12
transcript.pyannote[1172].start 6200.46284375
transcript.pyannote[1172].end 6200.81721875
transcript.pyannote[1173].speaker SPEAKER_17
transcript.pyannote[1173].start 6201.50909375
transcript.pyannote[1173].end 6201.54284375
transcript.pyannote[1174].speaker SPEAKER_12
transcript.pyannote[1174].start 6201.54284375
transcript.pyannote[1174].end 6206.11596875
transcript.pyannote[1175].speaker SPEAKER_17
transcript.pyannote[1175].start 6201.59346875
transcript.pyannote[1175].end 6202.38659375
transcript.pyannote[1176].speaker SPEAKER_12
transcript.pyannote[1176].start 6206.85846875
transcript.pyannote[1176].end 6210.28409375
transcript.pyannote[1177].speaker SPEAKER_12
transcript.pyannote[1177].start 6211.34721875
transcript.pyannote[1177].end 6213.32159375
transcript.pyannote[1178].speaker SPEAKER_12
transcript.pyannote[1178].start 6214.57034375
transcript.pyannote[1178].end 6216.25784375
transcript.pyannote[1179].speaker SPEAKER_12
transcript.pyannote[1179].start 6216.93284375
transcript.pyannote[1179].end 6218.21534375
transcript.pyannote[1180].speaker SPEAKER_12
transcript.pyannote[1180].start 6219.31221875
transcript.pyannote[1180].end 6220.74659375
transcript.pyannote[1181].speaker SPEAKER_12
transcript.pyannote[1181].start 6222.07971875
transcript.pyannote[1181].end 6224.44221875
transcript.pyannote[1182].speaker SPEAKER_12
transcript.pyannote[1182].start 6224.66159375
transcript.pyannote[1182].end 6228.15471875
transcript.pyannote[1183].speaker SPEAKER_17
transcript.pyannote[1183].start 6229.20096875
transcript.pyannote[1183].end 6231.96846875
transcript.pyannote[1184].speaker SPEAKER_12
transcript.pyannote[1184].start 6230.90534375
transcript.pyannote[1184].end 6232.33971875
transcript.pyannote[1185].speaker SPEAKER_12
transcript.pyannote[1185].start 6233.40284375
transcript.pyannote[1185].end 6236.17034375
transcript.pyannote[1186].speaker SPEAKER_12
transcript.pyannote[1186].start 6237.38534375
transcript.pyannote[1186].end 6243.40971875
transcript.pyannote[1187].speaker SPEAKER_12
transcript.pyannote[1187].start 6244.84409375
transcript.pyannote[1187].end 6245.60346875
transcript.pyannote[1188].speaker SPEAKER_12
transcript.pyannote[1188].start 6247.30784375
transcript.pyannote[1188].end 6248.45534375
transcript.pyannote[1189].speaker SPEAKER_12
transcript.pyannote[1189].start 6249.46784375
transcript.pyannote[1189].end 6253.78784375
transcript.pyannote[1190].speaker SPEAKER_12
transcript.pyannote[1190].start 6254.32784375
transcript.pyannote[1190].end 6256.65659375
transcript.pyannote[1191].speaker SPEAKER_12
transcript.pyannote[1191].start 6256.77471875
transcript.pyannote[1191].end 6261.97221875
transcript.pyannote[1192].speaker SPEAKER_12
transcript.pyannote[1192].start 6262.15784375
transcript.pyannote[1192].end 6267.00096875
transcript.pyannote[1193].speaker SPEAKER_12
transcript.pyannote[1193].start 6267.92909375
transcript.pyannote[1193].end 6269.27909375
transcript.pyannote[1194].speaker SPEAKER_12
transcript.pyannote[1194].start 6269.95409375
transcript.pyannote[1194].end 6272.73846875
transcript.pyannote[1195].speaker SPEAKER_12
transcript.pyannote[1195].start 6274.37534375
transcript.pyannote[1195].end 6279.31971875
transcript.pyannote[1196].speaker SPEAKER_12
transcript.pyannote[1196].start 6279.91034375
transcript.pyannote[1196].end 6281.17596875
transcript.pyannote[1197].speaker SPEAKER_12
transcript.pyannote[1197].start 6282.82971875
transcript.pyannote[1197].end 6285.83346875
transcript.pyannote[1198].speaker SPEAKER_12
transcript.pyannote[1198].start 6287.38596875
transcript.pyannote[1198].end 6292.85346875
transcript.pyannote[1199].speaker SPEAKER_12
transcript.pyannote[1199].start 6293.49471875
transcript.pyannote[1199].end 6297.96659375
transcript.pyannote[1200].speaker SPEAKER_12
transcript.pyannote[1200].start 6298.74284375
transcript.pyannote[1200].end 6304.49721875
transcript.pyannote[1201].speaker SPEAKER_12
transcript.pyannote[1201].start 6304.66596875
transcript.pyannote[1201].end 6309.17159375
transcript.pyannote[1202].speaker SPEAKER_12
transcript.pyannote[1202].start 6309.74534375
transcript.pyannote[1202].end 6316.57971875
transcript.pyannote[1203].speaker SPEAKER_12
transcript.pyannote[1203].start 6317.03534375
transcript.pyannote[1203].end 6318.73971875
transcript.pyannote[1204].speaker SPEAKER_12
transcript.pyannote[1204].start 6319.12784375
transcript.pyannote[1204].end 6321.11909375
transcript.pyannote[1205].speaker SPEAKER_12
transcript.pyannote[1205].start 6321.59159375
transcript.pyannote[1205].end 6336.76221875
transcript.pyannote[1206].speaker SPEAKER_12
transcript.pyannote[1206].start 6338.21346875
transcript.pyannote[1206].end 6338.23034375
transcript.pyannote[1207].speaker SPEAKER_13
transcript.pyannote[1207].start 6338.23034375
transcript.pyannote[1207].end 6342.93846875
transcript.pyannote[1208].speaker SPEAKER_13
transcript.pyannote[1208].start 6344.08596875
transcript.pyannote[1208].end 6344.77784375
transcript.pyannote[1209].speaker SPEAKER_17
transcript.pyannote[1209].start 6345.63846875
transcript.pyannote[1209].end 6347.37659375
transcript.pyannote[1210].speaker SPEAKER_13
transcript.pyannote[1210].start 6347.84909375
transcript.pyannote[1210].end 6349.62096875
transcript.pyannote[1211].speaker SPEAKER_13
transcript.pyannote[1211].start 6351.15659375
transcript.pyannote[1211].end 6353.18159375
transcript.pyannote[1212].speaker SPEAKER_13
transcript.pyannote[1212].start 6354.71721875
transcript.pyannote[1212].end 6358.46346875
transcript.pyannote[1213].speaker SPEAKER_13
transcript.pyannote[1213].start 6359.25659375
transcript.pyannote[1213].end 6361.23096875
transcript.pyannote[1214].speaker SPEAKER_13
transcript.pyannote[1214].start 6362.46284375
transcript.pyannote[1214].end 6363.62721875
transcript.pyannote[1215].speaker SPEAKER_17
transcript.pyannote[1215].start 6364.30221875
transcript.pyannote[1215].end 6367.87971875
transcript.pyannote[1216].speaker SPEAKER_12
transcript.pyannote[1216].start 6366.58034375
transcript.pyannote[1216].end 6366.59721875
transcript.pyannote[1217].speaker SPEAKER_13
transcript.pyannote[1217].start 6366.59721875
transcript.pyannote[1217].end 6367.25534375
transcript.pyannote[1218].speaker SPEAKER_12
transcript.pyannote[1218].start 6367.25534375
transcript.pyannote[1218].end 6367.35659375
transcript.pyannote[1219].speaker SPEAKER_17
transcript.pyannote[1219].start 6368.55471875
transcript.pyannote[1219].end 6369.97221875
transcript.pyannote[1220].speaker SPEAKER_12
transcript.pyannote[1220].start 6369.17909375
transcript.pyannote[1220].end 6369.65159375
transcript.pyannote[1221].speaker SPEAKER_12
transcript.pyannote[1221].start 6369.97221875
transcript.pyannote[1221].end 6371.32221875
transcript.pyannote[1222].speaker SPEAKER_17
transcript.pyannote[1222].start 6371.32221875
transcript.pyannote[1222].end 6371.38971875
transcript.pyannote[1223].speaker SPEAKER_12
transcript.pyannote[1223].start 6371.38971875
transcript.pyannote[1223].end 6371.42346875
transcript.pyannote[1224].speaker SPEAKER_17
transcript.pyannote[1224].start 6371.76096875
transcript.pyannote[1224].end 6371.79471875
transcript.pyannote[1225].speaker SPEAKER_12
transcript.pyannote[1225].start 6371.79471875
transcript.pyannote[1225].end 6372.89159375
transcript.pyannote[1226].speaker SPEAKER_17
transcript.pyannote[1226].start 6372.89159375
transcript.pyannote[1226].end 6372.90846875
transcript.pyannote[1227].speaker SPEAKER_12
transcript.pyannote[1227].start 6373.97159375
transcript.pyannote[1227].end 6375.96284375
transcript.pyannote[1228].speaker SPEAKER_17
transcript.pyannote[1228].start 6375.96284375
transcript.pyannote[1228].end 6376.41846875
transcript.pyannote[1229].speaker SPEAKER_17
transcript.pyannote[1229].start 6377.38034375
transcript.pyannote[1229].end 6380.65409375
transcript.pyannote[1230].speaker SPEAKER_13
transcript.pyannote[1230].start 6380.77221875
transcript.pyannote[1230].end 6387.03284375
transcript.pyannote[1231].speaker SPEAKER_13
transcript.pyannote[1231].start 6387.11721875
transcript.pyannote[1231].end 6388.92284375
transcript.pyannote[1232].speaker SPEAKER_13
transcript.pyannote[1232].start 6389.59784375
transcript.pyannote[1232].end 6390.67784375
transcript.pyannote[1233].speaker SPEAKER_13
transcript.pyannote[1233].start 6392.16284375
transcript.pyannote[1233].end 6393.02346875
transcript.pyannote[1234].speaker SPEAKER_12
transcript.pyannote[1234].start 6393.02346875
transcript.pyannote[1234].end 6393.73221875
transcript.pyannote[1235].speaker SPEAKER_12
transcript.pyannote[1235].start 6394.47471875
transcript.pyannote[1235].end 6395.28471875
transcript.pyannote[1236].speaker SPEAKER_12
transcript.pyannote[1236].start 6396.11159375
transcript.pyannote[1236].end 6404.86971875
transcript.pyannote[1237].speaker SPEAKER_12
transcript.pyannote[1237].start 6405.20721875
transcript.pyannote[1237].end 6408.41346875
transcript.pyannote[1238].speaker SPEAKER_12
transcript.pyannote[1238].start 6409.39221875
transcript.pyannote[1238].end 6411.72096875
transcript.pyannote[1239].speaker SPEAKER_12
transcript.pyannote[1239].start 6412.48034375
transcript.pyannote[1239].end 6413.96534375
transcript.pyannote[1240].speaker SPEAKER_12
transcript.pyannote[1240].start 6414.64034375
transcript.pyannote[1240].end 6415.65284375
transcript.pyannote[1241].speaker SPEAKER_12
transcript.pyannote[1241].start 6416.32784375
transcript.pyannote[1241].end 6417.20534375
transcript.pyannote[1242].speaker SPEAKER_12
transcript.pyannote[1242].start 6418.13346875
transcript.pyannote[1242].end 6419.01096875
transcript.pyannote[1243].speaker SPEAKER_12
transcript.pyannote[1243].start 6419.55096875
transcript.pyannote[1243].end 6421.99784375
transcript.pyannote[1244].speaker SPEAKER_12
transcript.pyannote[1244].start 6422.63909375
transcript.pyannote[1244].end 6426.50346875
transcript.pyannote[1245].speaker SPEAKER_12
transcript.pyannote[1245].start 6426.85784375
transcript.pyannote[1245].end 6434.80596875
transcript.pyannote[1246].speaker SPEAKER_12
transcript.pyannote[1246].start 6435.36284375
transcript.pyannote[1246].end 6437.30346875
transcript.pyannote[1247].speaker SPEAKER_12
transcript.pyannote[1247].start 6437.42159375
transcript.pyannote[1247].end 6440.71221875
transcript.pyannote[1248].speaker SPEAKER_17
transcript.pyannote[1248].start 6442.36596875
transcript.pyannote[1248].end 6442.55159375
transcript.pyannote[1249].speaker SPEAKER_17
transcript.pyannote[1249].start 6442.90596875
transcript.pyannote[1249].end 6444.03659375
transcript.pyannote[1250].speaker SPEAKER_12
transcript.pyannote[1250].start 6444.03659375
transcript.pyannote[1250].end 6444.66096875
transcript.pyannote[1251].speaker SPEAKER_17
transcript.pyannote[1251].start 6444.66096875
transcript.pyannote[1251].end 6444.74534375
transcript.pyannote[1252].speaker SPEAKER_12
transcript.pyannote[1252].start 6444.74534375
transcript.pyannote[1252].end 6445.28534375
transcript.pyannote[1253].speaker SPEAKER_12
transcript.pyannote[1253].start 6445.80846875
transcript.pyannote[1253].end 6447.27659375
transcript.pyannote[1254].speaker SPEAKER_12
transcript.pyannote[1254].start 6448.22159375
transcript.pyannote[1254].end 6454.75221875
transcript.pyannote[1255].speaker SPEAKER_12
transcript.pyannote[1255].start 6455.91659375
transcript.pyannote[1255].end 6460.18596875
transcript.pyannote[1256].speaker SPEAKER_12
transcript.pyannote[1256].start 6460.94534375
transcript.pyannote[1256].end 6463.39221875
transcript.pyannote[1257].speaker SPEAKER_12
transcript.pyannote[1257].start 6464.33721875
transcript.pyannote[1257].end 6465.29909375
transcript.pyannote[1258].speaker SPEAKER_12
transcript.pyannote[1258].start 6465.63659375
transcript.pyannote[1258].end 6467.13846875
transcript.pyannote[1259].speaker SPEAKER_12
transcript.pyannote[1259].start 6467.49284375
transcript.pyannote[1259].end 6468.79221875
transcript.pyannote[1260].speaker SPEAKER_12
transcript.pyannote[1260].start 6469.50096875
transcript.pyannote[1260].end 6470.86784375
transcript.pyannote[1261].speaker SPEAKER_12
transcript.pyannote[1261].start 6471.84659375
transcript.pyannote[1261].end 6473.70284375
transcript.pyannote[1262].speaker SPEAKER_17
transcript.pyannote[1262].start 6474.93471875
transcript.pyannote[1262].end 6477.97221875
transcript.pyannote[1263].speaker SPEAKER_12
transcript.pyannote[1263].start 6477.83721875
transcript.pyannote[1263].end 6480.89159375
transcript.pyannote[1264].speaker SPEAKER_12
transcript.pyannote[1264].start 6481.61721875
transcript.pyannote[1264].end 6482.73096875
transcript.pyannote[1265].speaker SPEAKER_12
transcript.pyannote[1265].start 6483.20346875
transcript.pyannote[1265].end 6485.29596875
transcript.pyannote[1266].speaker SPEAKER_12
transcript.pyannote[1266].start 6487.05096875
transcript.pyannote[1266].end 6490.51034375
transcript.pyannote[1267].speaker SPEAKER_12
transcript.pyannote[1267].start 6491.32034375
transcript.pyannote[1267].end 6492.23159375
transcript.pyannote[1268].speaker SPEAKER_12
transcript.pyannote[1268].start 6492.95721875
transcript.pyannote[1268].end 6493.46346875
transcript.pyannote[1269].speaker SPEAKER_12
transcript.pyannote[1269].start 6494.61096875
transcript.pyannote[1269].end 6495.35346875
transcript.pyannote[1270].speaker SPEAKER_12
transcript.pyannote[1270].start 6496.01159375
transcript.pyannote[1270].end 6499.57221875
transcript.pyannote[1271].speaker SPEAKER_12
transcript.pyannote[1271].start 6500.28096875
transcript.pyannote[1271].end 6504.93846875
transcript.pyannote[1272].speaker SPEAKER_17
transcript.pyannote[1272].start 6506.23784375
transcript.pyannote[1272].end 6508.58346875
transcript.pyannote[1273].speaker SPEAKER_12
transcript.pyannote[1273].start 6508.58346875
transcript.pyannote[1273].end 6510.15284375
transcript.pyannote[1274].speaker SPEAKER_17
transcript.pyannote[1274].start 6510.15284375
transcript.pyannote[1274].end 6510.20346875
transcript.pyannote[1275].speaker SPEAKER_12
transcript.pyannote[1275].start 6510.20346875
transcript.pyannote[1275].end 6510.35534375
transcript.pyannote[1276].speaker SPEAKER_17
transcript.pyannote[1276].start 6510.35534375
transcript.pyannote[1276].end 6511.03034375
transcript.pyannote[1277].speaker SPEAKER_12
transcript.pyannote[1277].start 6511.03034375
transcript.pyannote[1277].end 6511.40159375
transcript.pyannote[1278].speaker SPEAKER_12
transcript.pyannote[1278].start 6512.41409375
transcript.pyannote[1278].end 6518.45534375
transcript.pyannote[1279].speaker SPEAKER_12
transcript.pyannote[1279].start 6518.84346875
transcript.pyannote[1279].end 6522.30284375
transcript.pyannote[1280].speaker SPEAKER_12
transcript.pyannote[1280].start 6524.73284375
transcript.pyannote[1280].end 6526.43721875
transcript.pyannote[1281].speaker SPEAKER_17
transcript.pyannote[1281].start 6528.85034375
transcript.pyannote[1281].end 6529.57596875
transcript.pyannote[1282].speaker SPEAKER_17
transcript.pyannote[1282].start 6530.20034375
transcript.pyannote[1282].end 6530.74034375
transcript.pyannote[1283].speaker SPEAKER_17
transcript.pyannote[1283].start 6531.26346875
transcript.pyannote[1283].end 6535.51596875
transcript.pyannote[1284].speaker SPEAKER_12
transcript.pyannote[1284].start 6533.35596875
transcript.pyannote[1284].end 6534.85784375
transcript.pyannote[1285].speaker SPEAKER_12
transcript.pyannote[1285].start 6535.85346875
transcript.pyannote[1285].end 6538.01346875
transcript.pyannote[1286].speaker SPEAKER_12
transcript.pyannote[1286].start 6539.24534375
transcript.pyannote[1286].end 6543.10971875
transcript.pyannote[1287].speaker SPEAKER_17
transcript.pyannote[1287].start 6542.63721875
transcript.pyannote[1287].end 6542.68784375
transcript.pyannote[1288].speaker SPEAKER_17
transcript.pyannote[1288].start 6544.25721875
transcript.pyannote[1288].end 6549.42096875
transcript.pyannote[1289].speaker SPEAKER_12
transcript.pyannote[1289].start 6550.11284375
transcript.pyannote[1289].end 6553.21784375
transcript.pyannote[1290].speaker SPEAKER_12
transcript.pyannote[1290].start 6553.84221875
transcript.pyannote[1290].end 6554.95596875
transcript.pyannote[1291].speaker SPEAKER_12
transcript.pyannote[1291].start 6555.71534375
transcript.pyannote[1291].end 6556.69409375
transcript.pyannote[1292].speaker SPEAKER_12
transcript.pyannote[1292].start 6557.53784375
transcript.pyannote[1292].end 6558.75284375
transcript.pyannote[1293].speaker SPEAKER_12
transcript.pyannote[1293].start 6560.86221875
transcript.pyannote[1293].end 6563.29221875
transcript.pyannote[1294].speaker SPEAKER_12
transcript.pyannote[1294].start 6564.52409375
transcript.pyannote[1294].end 6566.05971875
transcript.pyannote[1295].speaker SPEAKER_12
transcript.pyannote[1295].start 6568.64159375
transcript.pyannote[1295].end 6574.46346875
transcript.pyannote[1296].speaker SPEAKER_12
transcript.pyannote[1296].start 6574.96971875
transcript.pyannote[1296].end 6579.86346875
transcript.pyannote[1297].speaker SPEAKER_12
transcript.pyannote[1297].start 6581.09534375
transcript.pyannote[1297].end 6582.36096875
transcript.pyannote[1298].speaker SPEAKER_12
transcript.pyannote[1298].start 6582.81659375
transcript.pyannote[1298].end 6585.49971875
transcript.pyannote[1299].speaker SPEAKER_12
transcript.pyannote[1299].start 6586.42784375
transcript.pyannote[1299].end 6587.38971875
transcript.pyannote[1300].speaker SPEAKER_12
transcript.pyannote[1300].start 6588.40221875
transcript.pyannote[1300].end 6591.62534375
transcript.pyannote[1301].speaker SPEAKER_17
transcript.pyannote[1301].start 6592.97534375
transcript.pyannote[1301].end 6593.48159375
transcript.pyannote[1302].speaker SPEAKER_12
transcript.pyannote[1302].start 6593.48159375
transcript.pyannote[1302].end 6593.49846875
transcript.pyannote[1303].speaker SPEAKER_12
transcript.pyannote[1303].start 6593.83596875
transcript.pyannote[1303].end 6594.15659375
transcript.pyannote[1304].speaker SPEAKER_12
transcript.pyannote[1304].start 6595.28721875
transcript.pyannote[1304].end 6596.04659375
transcript.pyannote[1305].speaker SPEAKER_12
transcript.pyannote[1305].start 6596.38409375
transcript.pyannote[1305].end 6599.15159375
transcript.pyannote[1306].speaker SPEAKER_12
transcript.pyannote[1306].start 6600.33284375
transcript.pyannote[1306].end 6603.69096875
transcript.pyannote[1307].speaker SPEAKER_12
transcript.pyannote[1307].start 6604.28159375
transcript.pyannote[1307].end 6608.61846875
transcript.pyannote[1308].speaker SPEAKER_12
transcript.pyannote[1308].start 6609.44534375
transcript.pyannote[1308].end 6612.70221875
transcript.pyannote[1309].speaker SPEAKER_12
transcript.pyannote[1309].start 6613.25909375
transcript.pyannote[1309].end 6613.74846875
transcript.pyannote[1310].speaker SPEAKER_12
transcript.pyannote[1310].start 6614.28846875
transcript.pyannote[1310].end 6615.92534375
transcript.pyannote[1311].speaker SPEAKER_12
transcript.pyannote[1311].start 6618.18659375
transcript.pyannote[1311].end 6619.36784375
transcript.pyannote[1312].speaker SPEAKER_12
transcript.pyannote[1312].start 6619.63784375
transcript.pyannote[1312].end 6622.37159375
transcript.pyannote[1313].speaker SPEAKER_12
transcript.pyannote[1313].start 6623.95784375
transcript.pyannote[1313].end 6624.80159375
transcript.pyannote[1314].speaker SPEAKER_12
transcript.pyannote[1314].start 6625.13909375
transcript.pyannote[1314].end 6626.97846875
transcript.pyannote[1315].speaker SPEAKER_12
transcript.pyannote[1315].start 6628.10909375
transcript.pyannote[1315].end 6629.47596875
transcript.pyannote[1316].speaker SPEAKER_12
transcript.pyannote[1316].start 6630.01596875
transcript.pyannote[1316].end 6631.99034375
transcript.pyannote[1317].speaker SPEAKER_12
transcript.pyannote[1317].start 6632.85096875
transcript.pyannote[1317].end 6633.45846875
transcript.pyannote[1318].speaker SPEAKER_12
transcript.pyannote[1318].start 6634.97721875
transcript.pyannote[1318].end 6635.48346875
transcript.pyannote[1319].speaker SPEAKER_17
transcript.pyannote[1319].start 6636.37784375
transcript.pyannote[1319].end 6641.71034375
transcript.pyannote[1320].speaker SPEAKER_12
transcript.pyannote[1320].start 6637.66034375
transcript.pyannote[1320].end 6640.17471875
transcript.pyannote[1321].speaker SPEAKER_17
transcript.pyannote[1321].start 6642.28409375
transcript.pyannote[1321].end 6644.86596875
transcript.pyannote[1322].speaker SPEAKER_13
transcript.pyannote[1322].start 6644.81534375
transcript.pyannote[1322].end 6648.54471875
transcript.pyannote[1323].speaker SPEAKER_13
transcript.pyannote[1323].start 6649.52346875
transcript.pyannote[1323].end 6652.05471875
transcript.pyannote[1324].speaker SPEAKER_13
transcript.pyannote[1324].start 6652.42596875
transcript.pyannote[1324].end 6653.03346875
transcript.pyannote[1325].speaker SPEAKER_12
transcript.pyannote[1325].start 6653.03346875
transcript.pyannote[1325].end 6653.70846875
transcript.pyannote[1326].speaker SPEAKER_12
transcript.pyannote[1326].start 6655.31159375
transcript.pyannote[1326].end 6656.81346875
transcript.pyannote[1327].speaker SPEAKER_12
transcript.pyannote[1327].start 6656.91471875
transcript.pyannote[1327].end 6658.53471875
transcript.pyannote[1328].speaker SPEAKER_12
transcript.pyannote[1328].start 6661.31909375
transcript.pyannote[1328].end 6662.58471875
transcript.pyannote[1329].speaker SPEAKER_12
transcript.pyannote[1329].start 6663.56346875
transcript.pyannote[1329].end 6665.08221875
transcript.pyannote[1330].speaker SPEAKER_12
transcript.pyannote[1330].start 6667.15784375
transcript.pyannote[1330].end 6667.98471875
transcript.pyannote[1331].speaker SPEAKER_12
transcript.pyannote[1331].start 6668.57534375
transcript.pyannote[1331].end 6671.19096875
transcript.pyannote[1332].speaker SPEAKER_12
transcript.pyannote[1332].start 6672.89534375
transcript.pyannote[1332].end 6674.88659375
transcript.pyannote[1333].speaker SPEAKER_12
transcript.pyannote[1333].start 6675.47721875
transcript.pyannote[1333].end 6676.16909375
transcript.pyannote[1334].speaker SPEAKER_12
transcript.pyannote[1334].start 6676.69221875
transcript.pyannote[1334].end 6678.41346875
transcript.pyannote[1335].speaker SPEAKER_12
transcript.pyannote[1335].start 6679.15596875
transcript.pyannote[1335].end 6680.48909375
transcript.pyannote[1336].speaker SPEAKER_12
transcript.pyannote[1336].start 6682.78409375
transcript.pyannote[1336].end 6684.79221875
transcript.pyannote[1337].speaker SPEAKER_12
transcript.pyannote[1337].start 6686.07471875
transcript.pyannote[1337].end 6686.47971875
transcript.pyannote[1338].speaker SPEAKER_12
transcript.pyannote[1338].start 6686.59784375
transcript.pyannote[1338].end 6687.64409375
transcript.pyannote[1339].speaker SPEAKER_12
transcript.pyannote[1339].start 6691.35659375
transcript.pyannote[1339].end 6692.67284375
transcript.pyannote[1340].speaker SPEAKER_12
transcript.pyannote[1340].start 6693.60096875
transcript.pyannote[1340].end 6694.34346875
transcript.pyannote[1341].speaker SPEAKER_12
transcript.pyannote[1341].start 6695.71034375
transcript.pyannote[1341].end 6698.96721875
transcript.pyannote[1342].speaker SPEAKER_12
transcript.pyannote[1342].start 6700.46909375
transcript.pyannote[1342].end 6702.22409375
transcript.pyannote[1343].speaker SPEAKER_12
transcript.pyannote[1343].start 6704.45159375
transcript.pyannote[1343].end 6706.61159375
transcript.pyannote[1344].speaker SPEAKER_12
transcript.pyannote[1344].start 6707.03346875
transcript.pyannote[1344].end 6709.98659375
transcript.pyannote[1345].speaker SPEAKER_12
transcript.pyannote[1345].start 6711.28596875
transcript.pyannote[1345].end 6712.14659375
transcript.pyannote[1346].speaker SPEAKER_12
transcript.pyannote[1346].start 6712.39971875
transcript.pyannote[1346].end 6713.59784375
transcript.pyannote[1347].speaker SPEAKER_12
transcript.pyannote[1347].start 6715.20096875
transcript.pyannote[1347].end 6720.95534375
transcript.pyannote[1348].speaker SPEAKER_17
transcript.pyannote[1348].start 6722.86221875
transcript.pyannote[1348].end 6731.21534375
transcript.pyannote[1349].speaker SPEAKER_12
transcript.pyannote[1349].start 6728.26221875
transcript.pyannote[1349].end 6730.16909375
transcript.pyannote[1350].speaker SPEAKER_17
transcript.pyannote[1350].start 6731.51909375
transcript.pyannote[1350].end 6731.53596875
transcript.pyannote[1351].speaker SPEAKER_12
transcript.pyannote[1351].start 6731.53596875
transcript.pyannote[1351].end 6731.83971875
transcript.pyannote[1352].speaker SPEAKER_17
transcript.pyannote[1352].start 6731.83971875
transcript.pyannote[1352].end 6731.85659375
transcript.pyannote[1353].speaker SPEAKER_12
transcript.pyannote[1353].start 6732.97034375
transcript.pyannote[1353].end 6733.79721875
transcript.pyannote[1354].speaker SPEAKER_12
transcript.pyannote[1354].start 6735.53534375
transcript.pyannote[1354].end 6736.48034375
transcript.pyannote[1355].speaker SPEAKER_12
transcript.pyannote[1355].start 6738.31971875
transcript.pyannote[1355].end 6740.36159375
transcript.pyannote[1356].speaker SPEAKER_12
transcript.pyannote[1356].start 6741.57659375
transcript.pyannote[1356].end 6743.01096875
transcript.pyannote[1357].speaker SPEAKER_12
transcript.pyannote[1357].start 6743.29784375
transcript.pyannote[1357].end 6744.47909375
transcript.pyannote[1358].speaker SPEAKER_12
transcript.pyannote[1358].start 6746.18346875
transcript.pyannote[1358].end 6747.26346875
transcript.pyannote[1359].speaker SPEAKER_12
transcript.pyannote[1359].start 6748.27596875
transcript.pyannote[1359].end 6749.55846875
transcript.pyannote[1360].speaker SPEAKER_12
transcript.pyannote[1360].start 6750.21659375
transcript.pyannote[1360].end 6753.25409375
transcript.pyannote[1361].speaker SPEAKER_12
transcript.pyannote[1361].start 6754.36784375
transcript.pyannote[1361].end 6763.58159375
transcript.pyannote[1362].speaker SPEAKER_12
transcript.pyannote[1362].start 6764.30721875
transcript.pyannote[1362].end 6765.92721875
transcript.pyannote[1363].speaker SPEAKER_12
transcript.pyannote[1363].start 6767.04096875
transcript.pyannote[1363].end 6769.38659375
transcript.pyannote[1364].speaker SPEAKER_12
transcript.pyannote[1364].start 6769.45409375
transcript.pyannote[1364].end 6771.69846875
transcript.pyannote[1365].speaker SPEAKER_12
transcript.pyannote[1365].start 6772.08659375
transcript.pyannote[1365].end 6773.16659375
transcript.pyannote[1366].speaker SPEAKER_12
transcript.pyannote[1366].start 6776.27159375
transcript.pyannote[1366].end 6778.26284375
transcript.pyannote[1367].speaker SPEAKER_12
transcript.pyannote[1367].start 6779.02221875
transcript.pyannote[1367].end 6779.96721875
transcript.pyannote[1368].speaker SPEAKER_12
transcript.pyannote[1368].start 6780.84471875
transcript.pyannote[1368].end 6782.85284375
transcript.pyannote[1369].speaker SPEAKER_12
transcript.pyannote[1369].start 6783.34221875
transcript.pyannote[1369].end 6784.67534375
transcript.pyannote[1370].speaker SPEAKER_12
transcript.pyannote[1370].start 6785.21534375
transcript.pyannote[1370].end 6788.59034375
transcript.pyannote[1371].speaker SPEAKER_12
transcript.pyannote[1371].start 6789.58596875
transcript.pyannote[1371].end 6792.16784375
transcript.pyannote[1372].speaker SPEAKER_13
transcript.pyannote[1372].start 6792.16784375
transcript.pyannote[1372].end 6792.18471875
transcript.pyannote[1373].speaker SPEAKER_13
transcript.pyannote[1373].start 6794.26034375
transcript.pyannote[1373].end 6801.24659375
transcript.pyannote[1374].speaker SPEAKER_13
transcript.pyannote[1374].start 6802.44471875
transcript.pyannote[1374].end 6804.03096875
transcript.pyannote[1375].speaker SPEAKER_12
transcript.pyannote[1375].start 6804.03096875
transcript.pyannote[1375].end 6804.25034375
transcript.pyannote[1376].speaker SPEAKER_13
transcript.pyannote[1376].start 6804.25034375
transcript.pyannote[1376].end 6804.28409375
transcript.pyannote[1377].speaker SPEAKER_13
transcript.pyannote[1377].start 6805.41471875
transcript.pyannote[1377].end 6805.43159375
transcript.pyannote[1378].speaker SPEAKER_12
transcript.pyannote[1378].start 6805.43159375
transcript.pyannote[1378].end 6806.34284375
transcript.pyannote[1379].speaker SPEAKER_12
transcript.pyannote[1379].start 6809.83596875
transcript.pyannote[1379].end 6810.61221875
transcript.pyannote[1380].speaker SPEAKER_12
transcript.pyannote[1380].start 6812.43471875
transcript.pyannote[1380].end 6820.58534375
transcript.pyannote[1381].speaker SPEAKER_17
transcript.pyannote[1381].start 6821.85096875
transcript.pyannote[1381].end 6825.76596875
transcript.pyannote[1382].speaker SPEAKER_12
transcript.pyannote[1382].start 6826.05284375
transcript.pyannote[1382].end 6827.82471875
transcript.pyannote[1383].speaker SPEAKER_12
transcript.pyannote[1383].start 6828.63471875
transcript.pyannote[1383].end 6829.44471875
transcript.pyannote[1384].speaker SPEAKER_12
transcript.pyannote[1384].start 6830.38971875
transcript.pyannote[1384].end 6831.38534375
transcript.pyannote[1385].speaker SPEAKER_12
transcript.pyannote[1385].start 6832.17846875
transcript.pyannote[1385].end 6835.60409375
transcript.pyannote[1386].speaker SPEAKER_12
transcript.pyannote[1386].start 6836.71784375
transcript.pyannote[1386].end 6837.88221875
transcript.pyannote[1387].speaker SPEAKER_12
transcript.pyannote[1387].start 6840.29534375
transcript.pyannote[1387].end 6841.37534375
transcript.pyannote[1388].speaker SPEAKER_12
transcript.pyannote[1388].start 6841.93221875
transcript.pyannote[1388].end 6842.89409375
transcript.pyannote[1389].speaker SPEAKER_12
transcript.pyannote[1389].start 6843.55221875
transcript.pyannote[1389].end 6849.28971875
transcript.pyannote[1390].speaker SPEAKER_12
transcript.pyannote[1390].start 6850.63971875
transcript.pyannote[1390].end 6852.00659375
transcript.pyannote[1391].speaker SPEAKER_12
transcript.pyannote[1391].start 6852.52971875
transcript.pyannote[1391].end 6853.40721875
transcript.pyannote[1392].speaker SPEAKER_12
transcript.pyannote[1392].start 6853.82909375
transcript.pyannote[1392].end 6855.09471875
transcript.pyannote[1393].speaker SPEAKER_12
transcript.pyannote[1393].start 6855.48284375
transcript.pyannote[1393].end 6856.15784375
transcript.pyannote[1394].speaker SPEAKER_17
transcript.pyannote[1394].start 6857.25471875
transcript.pyannote[1394].end 6864.89909375
transcript.pyannote[1395].speaker SPEAKER_12
transcript.pyannote[1395].start 6863.21159375
transcript.pyannote[1395].end 6867.75096875
transcript.pyannote[1396].speaker SPEAKER_12
transcript.pyannote[1396].start 6868.18971875
transcript.pyannote[1396].end 6868.25721875
transcript.pyannote[1397].speaker SPEAKER_17
transcript.pyannote[1397].start 6868.25721875
transcript.pyannote[1397].end 6868.69596875
transcript.pyannote[1398].speaker SPEAKER_12
transcript.pyannote[1398].start 6868.69596875
transcript.pyannote[1398].end 6874.18034375
transcript.pyannote[1399].speaker SPEAKER_12
transcript.pyannote[1399].start 6874.61909375
transcript.pyannote[1399].end 6878.78721875
transcript.pyannote[1400].speaker SPEAKER_12
transcript.pyannote[1400].start 6879.25971875
transcript.pyannote[1400].end 6880.39034375
transcript.pyannote[1401].speaker SPEAKER_12
transcript.pyannote[1401].start 6881.30159375
transcript.pyannote[1401].end 6882.75284375
transcript.pyannote[1402].speaker SPEAKER_12
transcript.pyannote[1402].start 6883.32659375
transcript.pyannote[1402].end 6884.77784375
transcript.pyannote[1403].speaker SPEAKER_12
transcript.pyannote[1403].start 6886.04346875
transcript.pyannote[1403].end 6889.03034375
transcript.pyannote[1404].speaker SPEAKER_12
transcript.pyannote[1404].start 6889.85721875
transcript.pyannote[1404].end 6891.19034375
transcript.pyannote[1405].speaker SPEAKER_12
transcript.pyannote[1405].start 6891.66284375
transcript.pyannote[1405].end 6893.14784375
transcript.pyannote[1406].speaker SPEAKER_12
transcript.pyannote[1406].start 6893.40096875
transcript.pyannote[1406].end 6894.91971875
transcript.pyannote[1407].speaker SPEAKER_17
transcript.pyannote[1407].start 6895.30784375
transcript.pyannote[1407].end 6895.71284375
transcript.pyannote[1408].speaker SPEAKER_17
transcript.pyannote[1408].start 6896.16846875
transcript.pyannote[1408].end 6910.64721875
transcript.pyannote[1409].speaker SPEAKER_12
transcript.pyannote[1409].start 6898.12596875
transcript.pyannote[1409].end 6899.08784375
transcript.pyannote[1410].speaker SPEAKER_12
transcript.pyannote[1410].start 6899.83034375
transcript.pyannote[1410].end 6901.65284375
transcript.pyannote[1411].speaker SPEAKER_12
transcript.pyannote[1411].start 6906.88409375
transcript.pyannote[1411].end 6907.45784375
transcript.pyannote[1412].speaker SPEAKER_12
transcript.pyannote[1412].start 6908.72346875
transcript.pyannote[1412].end 6910.91721875
transcript.pyannote[1413].speaker SPEAKER_17
transcript.pyannote[1413].start 6910.91721875
transcript.pyannote[1413].end 6910.95096875
transcript.pyannote[1414].speaker SPEAKER_12
transcript.pyannote[1414].start 6912.77346875
transcript.pyannote[1414].end 6914.17409375
transcript.pyannote[1415].speaker SPEAKER_12
transcript.pyannote[1415].start 6914.47784375
transcript.pyannote[1415].end 6915.92909375
transcript.pyannote[1416].speaker SPEAKER_12
transcript.pyannote[1416].start 6918.51096875
transcript.pyannote[1416].end 6920.56971875
transcript.pyannote[1417].speaker SPEAKER_12
transcript.pyannote[1417].start 6922.40909375
transcript.pyannote[1417].end 6925.42971875
transcript.pyannote[1418].speaker SPEAKER_12
transcript.pyannote[1418].start 6926.32409375
transcript.pyannote[1418].end 6928.87221875
transcript.pyannote[1419].speaker SPEAKER_12
transcript.pyannote[1419].start 6929.88471875
transcript.pyannote[1419].end 6933.58034375
transcript.pyannote[1420].speaker SPEAKER_12
transcript.pyannote[1420].start 6935.67284375
transcript.pyannote[1420].end 6936.76971875
transcript.pyannote[1421].speaker SPEAKER_12
transcript.pyannote[1421].start 6937.42784375
transcript.pyannote[1421].end 6939.52034375
transcript.pyannote[1422].speaker SPEAKER_17
transcript.pyannote[1422].start 6939.52034375
transcript.pyannote[1422].end 6939.53721875
transcript.pyannote[1423].speaker SPEAKER_12
transcript.pyannote[1423].start 6939.53721875
transcript.pyannote[1423].end 6939.55409375
transcript.pyannote[1424].speaker SPEAKER_17
transcript.pyannote[1424].start 6939.55409375
transcript.pyannote[1424].end 6939.57096875
transcript.pyannote[1425].speaker SPEAKER_17
transcript.pyannote[1425].start 6940.16159375
transcript.pyannote[1425].end 6957.69471875
transcript.pyannote[1426].speaker SPEAKER_12
transcript.pyannote[1426].start 6942.11909375
transcript.pyannote[1426].end 6943.06409375
transcript.pyannote[1427].speaker SPEAKER_12
transcript.pyannote[1427].start 6956.04096875
transcript.pyannote[1427].end 6957.42471875
transcript.pyannote[1428].speaker SPEAKER_12
transcript.pyannote[1428].start 6957.69471875
transcript.pyannote[1428].end 6957.91409375
transcript.pyannote[1429].speaker SPEAKER_17
transcript.pyannote[1429].start 6957.91409375
transcript.pyannote[1429].end 6957.94784375
transcript.pyannote[1430].speaker SPEAKER_12
transcript.pyannote[1430].start 6957.94784375
transcript.pyannote[1430].end 6957.96471875
transcript.pyannote[1431].speaker SPEAKER_17
transcript.pyannote[1431].start 6957.96471875
transcript.pyannote[1431].end 6958.01534375
transcript.pyannote[1432].speaker SPEAKER_12
transcript.pyannote[1432].start 6958.01534375
transcript.pyannote[1432].end 6959.33159375
transcript.pyannote[1433].speaker SPEAKER_12
transcript.pyannote[1433].start 6961.98096875
transcript.pyannote[1433].end 6962.80784375
transcript.pyannote[1434].speaker SPEAKER_12
transcript.pyannote[1434].start 6965.18721875
transcript.pyannote[1434].end 6966.14909375
transcript.pyannote[1435].speaker SPEAKER_12
transcript.pyannote[1435].start 6968.56221875
transcript.pyannote[1435].end 6978.90659375
transcript.pyannote[1436].speaker SPEAKER_12
transcript.pyannote[1436].start 6980.12159375
transcript.pyannote[1436].end 6981.11721875
transcript.pyannote[1437].speaker SPEAKER_12
transcript.pyannote[1437].start 6982.07909375
transcript.pyannote[1437].end 6983.61471875
transcript.pyannote[1438].speaker SPEAKER_12
transcript.pyannote[1438].start 6984.32346875
transcript.pyannote[1438].end 6987.68159375
transcript.pyannote[1439].speaker SPEAKER_12
transcript.pyannote[1439].start 6988.79534375
transcript.pyannote[1439].end 6992.22096875
transcript.pyannote[1440].speaker SPEAKER_12
transcript.pyannote[1440].start 6992.69346875
transcript.pyannote[1440].end 6994.63409375
transcript.pyannote[1441].speaker SPEAKER_17
transcript.pyannote[1441].start 6995.54534375
transcript.pyannote[1441].end 6996.16971875
transcript.pyannote[1442].speaker SPEAKER_17
transcript.pyannote[1442].start 6996.87846875
transcript.pyannote[1442].end 7003.62846875
transcript.pyannote[1443].speaker SPEAKER_12
transcript.pyannote[1443].start 7001.36721875
transcript.pyannote[1443].end 7003.05471875
transcript.pyannote[1444].speaker SPEAKER_12
transcript.pyannote[1444].start 7003.62846875
transcript.pyannote[1444].end 7003.69596875
transcript.pyannote[1445].speaker SPEAKER_17
transcript.pyannote[1445].start 7003.69596875
transcript.pyannote[1445].end 7003.71284375
transcript.pyannote[1446].speaker SPEAKER_12
transcript.pyannote[1446].start 7003.71284375
transcript.pyannote[1446].end 7004.96159375
transcript.pyannote[1447].speaker SPEAKER_12
transcript.pyannote[1447].start 7005.34971875
transcript.pyannote[1447].end 7010.53034375
transcript.pyannote[1448].speaker SPEAKER_12
transcript.pyannote[1448].start 7010.86784375
transcript.pyannote[1448].end 7012.96034375
transcript.pyannote[1449].speaker SPEAKER_12
transcript.pyannote[1449].start 7013.19659375
transcript.pyannote[1449].end 7016.62221875
transcript.pyannote[1450].speaker SPEAKER_12
transcript.pyannote[1450].start 7017.49971875
transcript.pyannote[1450].end 7035.08346875
transcript.pyannote[1451].speaker SPEAKER_12
transcript.pyannote[1451].start 7035.96096875
transcript.pyannote[1451].end 7037.14221875
transcript.pyannote[1452].speaker SPEAKER_12
transcript.pyannote[1452].start 7037.95221875
transcript.pyannote[1452].end 7039.26846875
transcript.pyannote[1453].speaker SPEAKER_12
transcript.pyannote[1453].start 7039.62284375
transcript.pyannote[1453].end 7041.20909375
transcript.pyannote[1454].speaker SPEAKER_12
transcript.pyannote[1454].start 7042.15409375
transcript.pyannote[1454].end 7044.51659375
transcript.pyannote[1455].speaker SPEAKER_12
transcript.pyannote[1455].start 7045.93409375
transcript.pyannote[1455].end 7052.53221875
transcript.pyannote[1456].speaker SPEAKER_12
transcript.pyannote[1456].start 7053.35909375
transcript.pyannote[1456].end 7055.75534375
transcript.pyannote[1457].speaker SPEAKER_17
transcript.pyannote[1457].start 7056.27846875
transcript.pyannote[1457].end 7057.35846875
transcript.pyannote[1458].speaker SPEAKER_12
transcript.pyannote[1458].start 7057.35846875
transcript.pyannote[1458].end 7057.74659375
transcript.pyannote[1459].speaker SPEAKER_17
transcript.pyannote[1459].start 7057.40909375
transcript.pyannote[1459].end 7057.69596875
transcript.pyannote[1460].speaker SPEAKER_17
transcript.pyannote[1460].start 7057.74659375
transcript.pyannote[1460].end 7058.60721875
transcript.pyannote[1461].speaker SPEAKER_12
transcript.pyannote[1461].start 7058.75909375
transcript.pyannote[1461].end 7060.10909375
transcript.pyannote[1462].speaker SPEAKER_12
transcript.pyannote[1462].start 7061.72909375
transcript.pyannote[1462].end 7064.26034375
transcript.pyannote[1463].speaker SPEAKER_12
transcript.pyannote[1463].start 7064.95221875
transcript.pyannote[1463].end 7067.23034375
transcript.pyannote[1464].speaker SPEAKER_12
transcript.pyannote[1464].start 7067.98971875
transcript.pyannote[1464].end 7072.52909375
transcript.pyannote[1465].speaker SPEAKER_12
transcript.pyannote[1465].start 7073.60909375
transcript.pyannote[1465].end 7074.26721875
transcript.pyannote[1466].speaker SPEAKER_12
transcript.pyannote[1466].start 7075.81971875
transcript.pyannote[1466].end 7079.38034375
transcript.pyannote[1467].speaker SPEAKER_12
transcript.pyannote[1467].start 7079.78534375
transcript.pyannote[1467].end 7080.67971875
transcript.pyannote[1468].speaker SPEAKER_12
transcript.pyannote[1468].start 7081.18596875
transcript.pyannote[1468].end 7082.26596875
transcript.pyannote[1469].speaker SPEAKER_12
transcript.pyannote[1469].start 7083.34596875
transcript.pyannote[1469].end 7084.15596875
transcript.pyannote[1470].speaker SPEAKER_12
transcript.pyannote[1470].start 7085.69159375
transcript.pyannote[1470].end 7089.70784375
transcript.pyannote[1471].speaker SPEAKER_12
transcript.pyannote[1471].start 7091.42909375
transcript.pyannote[1471].end 7092.17159375
transcript.pyannote[1472].speaker SPEAKER_12
transcript.pyannote[1472].start 7094.12909375
transcript.pyannote[1472].end 7094.78721875
transcript.pyannote[1473].speaker SPEAKER_12
transcript.pyannote[1473].start 7095.12471875
transcript.pyannote[1473].end 7096.06971875
transcript.pyannote[1474].speaker SPEAKER_12
transcript.pyannote[1474].start 7096.69409375
transcript.pyannote[1474].end 7098.09471875
transcript.pyannote[1475].speaker SPEAKER_12
transcript.pyannote[1475].start 7099.14096875
transcript.pyannote[1475].end 7104.65909375
transcript.pyannote[1476].speaker SPEAKER_12
transcript.pyannote[1476].start 7105.28346875
transcript.pyannote[1476].end 7108.33784375
transcript.pyannote[1477].speaker SPEAKER_12
transcript.pyannote[1477].start 7109.60346875
transcript.pyannote[1477].end 7114.51409375
transcript.pyannote[1478].speaker SPEAKER_12
transcript.pyannote[1478].start 7115.37471875
transcript.pyannote[1478].end 7117.06221875
transcript.pyannote[1479].speaker SPEAKER_12
transcript.pyannote[1479].start 7117.87221875
transcript.pyannote[1479].end 7119.52596875
transcript.pyannote[1480].speaker SPEAKER_12
transcript.pyannote[1480].start 7121.04471875
transcript.pyannote[1480].end 7124.11596875
transcript.pyannote[1481].speaker SPEAKER_12
transcript.pyannote[1481].start 7125.60096875
transcript.pyannote[1481].end 7126.98471875
transcript.pyannote[1482].speaker SPEAKER_12
transcript.pyannote[1482].start 7127.59221875
transcript.pyannote[1482].end 7130.47784375
transcript.pyannote[1483].speaker SPEAKER_12
transcript.pyannote[1483].start 7132.68846875
transcript.pyannote[1483].end 7134.30846875
transcript.pyannote[1484].speaker SPEAKER_12
transcript.pyannote[1484].start 7136.45159375
transcript.pyannote[1484].end 7139.48909375
transcript.pyannote[1485].speaker SPEAKER_12
transcript.pyannote[1485].start 7140.14721875
transcript.pyannote[1485].end 7141.42971875
transcript.pyannote[1486].speaker SPEAKER_12
transcript.pyannote[1486].start 7142.93159375
transcript.pyannote[1486].end 7144.45034375
transcript.pyannote[1487].speaker SPEAKER_12
transcript.pyannote[1487].start 7145.66534375
transcript.pyannote[1487].end 7147.21784375
transcript.pyannote[1488].speaker SPEAKER_12
transcript.pyannote[1488].start 7147.69034375
transcript.pyannote[1488].end 7149.42846875
transcript.pyannote[1489].speaker SPEAKER_12
transcript.pyannote[1489].start 7150.15409375
transcript.pyannote[1489].end 7153.73159375
transcript.pyannote[1490].speaker SPEAKER_12
transcript.pyannote[1490].start 7154.20409375
transcript.pyannote[1490].end 7154.82846875
transcript.pyannote[1491].speaker SPEAKER_12
transcript.pyannote[1491].start 7155.57096875
transcript.pyannote[1491].end 7156.02659375
transcript.pyannote[1492].speaker SPEAKER_12
transcript.pyannote[1492].start 7157.35971875
transcript.pyannote[1492].end 7157.66346875
transcript.pyannote[1493].speaker SPEAKER_17
transcript.pyannote[1493].start 7157.66346875
transcript.pyannote[1493].end 7158.03471875
transcript.pyannote[1494].speaker SPEAKER_12
transcript.pyannote[1494].start 7158.03471875
transcript.pyannote[1494].end 7159.75596875
transcript.pyannote[1495].speaker SPEAKER_12
transcript.pyannote[1495].start 7160.36346875
transcript.pyannote[1495].end 7163.92409375
transcript.pyannote[1496].speaker SPEAKER_12
transcript.pyannote[1496].start 7164.02534375
transcript.pyannote[1496].end 7165.93221875
transcript.pyannote[1497].speaker SPEAKER_12
transcript.pyannote[1497].start 7166.87721875
transcript.pyannote[1497].end 7168.26096875
transcript.pyannote[1498].speaker SPEAKER_12
transcript.pyannote[1498].start 7169.07096875
transcript.pyannote[1498].end 7173.67784375
transcript.pyannote[1499].speaker SPEAKER_12
transcript.pyannote[1499].start 7174.26846875
transcript.pyannote[1499].end 7179.19596875
transcript.pyannote[1500].speaker SPEAKER_12
transcript.pyannote[1500].start 7179.73596875
transcript.pyannote[1500].end 7181.13659375
transcript.pyannote[1501].speaker SPEAKER_17
transcript.pyannote[1501].start 7182.09846875
transcript.pyannote[1501].end 7186.80659375
transcript.pyannote[1502].speaker SPEAKER_17
transcript.pyannote[1502].start 7187.65034375
transcript.pyannote[1502].end 7191.02534375
transcript.pyannote[1503].speaker SPEAKER_17
transcript.pyannote[1503].start 7191.66659375
transcript.pyannote[1503].end 7191.81846875
transcript.pyannote[1504].speaker SPEAKER_17
transcript.pyannote[1504].start 7192.84784375
transcript.pyannote[1504].end 7197.89346875
transcript.pyannote[1505].speaker SPEAKER_12
transcript.pyannote[1505].start 7193.60721875
transcript.pyannote[1505].end 7196.15534375
transcript.pyannote[1506].speaker SPEAKER_12
transcript.pyannote[1506].start 7197.62346875
transcript.pyannote[1506].end 7205.48721875
transcript.pyannote[1507].speaker SPEAKER_17
transcript.pyannote[1507].start 7198.73721875
transcript.pyannote[1507].end 7200.18846875
transcript.pyannote[1508].speaker SPEAKER_12
transcript.pyannote[1508].start 7206.66846875
transcript.pyannote[1508].end 7207.90034375
transcript.pyannote[1509].speaker SPEAKER_12
transcript.pyannote[1509].start 7208.84534375
transcript.pyannote[1509].end 7216.91159375
transcript.pyannote[1510].speaker SPEAKER_12
transcript.pyannote[1510].start 7217.83971875
transcript.pyannote[1510].end 7231.22159375
transcript.pyannote[1511].speaker SPEAKER_12
transcript.pyannote[1511].start 7232.65596875
transcript.pyannote[1511].end 7235.18721875
transcript.pyannote[1512].speaker SPEAKER_12
transcript.pyannote[1512].start 7236.26721875
transcript.pyannote[1512].end 7238.00534375
transcript.pyannote[1513].speaker SPEAKER_12
transcript.pyannote[1513].start 7238.52846875
transcript.pyannote[1513].end 7239.86159375
transcript.pyannote[1514].speaker SPEAKER_12
transcript.pyannote[1514].start 7240.48596875
transcript.pyannote[1514].end 7243.03409375
transcript.pyannote[1515].speaker SPEAKER_12
transcript.pyannote[1515].start 7244.68784375
transcript.pyannote[1515].end 7249.12596875
transcript.pyannote[1516].speaker SPEAKER_12
transcript.pyannote[1516].start 7250.37471875
transcript.pyannote[1516].end 7251.40409375
transcript.pyannote[1517].speaker SPEAKER_12
transcript.pyannote[1517].start 7252.26471875
transcript.pyannote[1517].end 7253.19284375
transcript.pyannote[1518].speaker SPEAKER_12
transcript.pyannote[1518].start 7254.42471875
transcript.pyannote[1518].end 7255.36971875
transcript.pyannote[1519].speaker SPEAKER_12
transcript.pyannote[1519].start 7256.19659375
transcript.pyannote[1519].end 7256.71971875
transcript.pyannote[1520].speaker SPEAKER_12
transcript.pyannote[1520].start 7259.70659375
transcript.pyannote[1520].end 7260.55034375
transcript.pyannote[1521].speaker SPEAKER_12
transcript.pyannote[1521].start 7261.37721875
transcript.pyannote[1521].end 7263.84096875
transcript.pyannote[1522].speaker SPEAKER_12
transcript.pyannote[1522].start 7264.49909375
transcript.pyannote[1522].end 7269.96659375
transcript.pyannote[1523].speaker SPEAKER_12
transcript.pyannote[1523].start 7270.47284375
transcript.pyannote[1523].end 7273.94909375
transcript.pyannote[1524].speaker SPEAKER_17
transcript.pyannote[1524].start 7274.45534375
transcript.pyannote[1524].end 7278.62346875
transcript.pyannote[1525].speaker SPEAKER_17
transcript.pyannote[1525].start 7278.97784375
transcript.pyannote[1525].end 7280.47971875
transcript.pyannote[1526].speaker SPEAKER_12
transcript.pyannote[1526].start 7280.93534375
transcript.pyannote[1526].end 7285.64346875
transcript.pyannote[1527].speaker SPEAKER_17
transcript.pyannote[1527].start 7281.52596875
transcript.pyannote[1527].end 7282.70721875
transcript.pyannote[1528].speaker SPEAKER_17
transcript.pyannote[1528].start 7286.20034375
transcript.pyannote[1528].end 7290.75659375
transcript.pyannote[1529].speaker SPEAKER_12
transcript.pyannote[1529].start 7289.91284375
transcript.pyannote[1529].end 7292.78159375
transcript.pyannote[1530].speaker SPEAKER_17
transcript.pyannote[1530].start 7291.58346875
transcript.pyannote[1530].end 7292.08971875
transcript.pyannote[1531].speaker SPEAKER_12
transcript.pyannote[1531].start 7293.60846875
transcript.pyannote[1531].end 7295.85284375
transcript.pyannote[1532].speaker SPEAKER_12
transcript.pyannote[1532].start 7297.48971875
transcript.pyannote[1532].end 7301.11784375
transcript.pyannote[1533].speaker SPEAKER_12
transcript.pyannote[1533].start 7301.48909375
transcript.pyannote[1533].end 7302.16409375
transcript.pyannote[1534].speaker SPEAKER_12
transcript.pyannote[1534].start 7303.15971875
transcript.pyannote[1534].end 7305.87659375
transcript.pyannote[1535].speaker SPEAKER_12
transcript.pyannote[1535].start 7307.73284375
transcript.pyannote[1535].end 7311.63096875
transcript.pyannote[1536].speaker SPEAKER_12
transcript.pyannote[1536].start 7312.03596875
transcript.pyannote[1536].end 7313.18346875
transcript.pyannote[1537].speaker SPEAKER_12
transcript.pyannote[1537].start 7313.77409375
transcript.pyannote[1537].end 7314.95534375
transcript.pyannote[1538].speaker SPEAKER_12
transcript.pyannote[1538].start 7316.22096875
transcript.pyannote[1538].end 7320.22034375
transcript.pyannote[1539].speaker SPEAKER_12
transcript.pyannote[1539].start 7320.82784375
transcript.pyannote[1539].end 7322.24534375
transcript.pyannote[1540].speaker SPEAKER_12
transcript.pyannote[1540].start 7322.78534375
transcript.pyannote[1540].end 7326.86909375
transcript.pyannote[1541].speaker SPEAKER_12
transcript.pyannote[1541].start 7327.76346875
transcript.pyannote[1541].end 7340.16659375
transcript.pyannote[1542].speaker SPEAKER_12
transcript.pyannote[1542].start 7340.79096875
transcript.pyannote[1542].end 7343.77784375
transcript.pyannote[1543].speaker SPEAKER_01
transcript.pyannote[1543].start 7348.38471875
transcript.pyannote[1543].end 7353.00846875
transcript.pyannote[1544].speaker SPEAKER_01
transcript.pyannote[1544].start 7353.53159375
transcript.pyannote[1544].end 7354.35846875
transcript.pyannote[1545].speaker SPEAKER_01
transcript.pyannote[1545].start 7358.23971875
transcript.pyannote[1545].end 7364.36534375
transcript.pyannote[1546].speaker SPEAKER_01
transcript.pyannote[1546].start 7364.53409375
transcript.pyannote[1546].end 7365.83346875
transcript.pyannote[1547].speaker SPEAKER_01
transcript.pyannote[1547].start 7366.47471875
transcript.pyannote[1547].end 7369.81596875
transcript.pyannote[1548].speaker SPEAKER_01
transcript.pyannote[1548].start 7370.08596875
transcript.pyannote[1548].end 7374.76034375
transcript.pyannote[1549].speaker SPEAKER_01
transcript.pyannote[1549].start 7375.31721875
transcript.pyannote[1549].end 7376.68409375
transcript.pyannote[1550].speaker SPEAKER_01
transcript.pyannote[1550].start 7376.81909375
transcript.pyannote[1550].end 7384.12596875
transcript.pyannote[1551].speaker SPEAKER_01
transcript.pyannote[1551].start 7752.82784375
transcript.pyannote[1551].end 7768.36971875
transcript.pyannote[1552].speaker SPEAKER_18
transcript.pyannote[1552].start 7775.40659375
transcript.pyannote[1552].end 7779.32159375
transcript.pyannote[1553].speaker SPEAKER_18
transcript.pyannote[1553].start 7779.62534375
transcript.pyannote[1553].end 7786.83096875
transcript.pyannote[1554].speaker SPEAKER_18
transcript.pyannote[1554].start 7787.52284375
transcript.pyannote[1554].end 7794.74534375
transcript.pyannote[1555].speaker SPEAKER_18
transcript.pyannote[1555].start 7795.35284375
transcript.pyannote[1555].end 7821.57659375
transcript.pyannote[1556].speaker SPEAKER_18
transcript.pyannote[1556].start 7822.40346875
transcript.pyannote[1556].end 7831.75221875
transcript.pyannote[1557].speaker SPEAKER_18
transcript.pyannote[1557].start 7832.19096875
transcript.pyannote[1557].end 7853.31846875
transcript.pyannote[1558].speaker SPEAKER_18
transcript.pyannote[1558].start 7853.68971875
transcript.pyannote[1558].end 7863.83159375
transcript.pyannote[1559].speaker SPEAKER_18
transcript.pyannote[1559].start 7864.47284375
transcript.pyannote[1559].end 7878.25971875
transcript.pyannote[1560].speaker SPEAKER_18
transcript.pyannote[1560].start 7878.96846875
transcript.pyannote[1560].end 7891.10159375
transcript.pyannote[1561].speaker SPEAKER_18
transcript.pyannote[1561].start 7891.38846875
transcript.pyannote[1561].end 7899.11721875
transcript.pyannote[1562].speaker SPEAKER_18
transcript.pyannote[1562].start 7899.80909375
transcript.pyannote[1562].end 7902.89721875
transcript.pyannote[1563].speaker SPEAKER_18
transcript.pyannote[1563].start 7903.08284375
transcript.pyannote[1563].end 7908.07784375
transcript.pyannote[1564].speaker SPEAKER_18
transcript.pyannote[1564].start 7908.38159375
transcript.pyannote[1564].end 7917.44346875
transcript.pyannote[1565].speaker SPEAKER_18
transcript.pyannote[1565].start 7917.74721875
transcript.pyannote[1565].end 7923.38346875
transcript.pyannote[1566].speaker SPEAKER_18
transcript.pyannote[1566].start 7923.63659375
transcript.pyannote[1566].end 7927.63596875
transcript.pyannote[1567].speaker SPEAKER_18
transcript.pyannote[1567].start 7928.05784375
transcript.pyannote[1567].end 7935.95534375
transcript.pyannote[1568].speaker SPEAKER_18
transcript.pyannote[1568].start 7936.12409375
transcript.pyannote[1568].end 7939.80284375
transcript.pyannote[1569].speaker SPEAKER_18
transcript.pyannote[1569].start 7940.19096875
transcript.pyannote[1569].end 7942.40159375
transcript.pyannote[1570].speaker SPEAKER_18
transcript.pyannote[1570].start 7942.67159375
transcript.pyannote[1570].end 7944.86534375
transcript.pyannote[1571].speaker SPEAKER_18
transcript.pyannote[1571].start 7945.03409375
transcript.pyannote[1571].end 7960.13721875
transcript.pyannote[1572].speaker SPEAKER_18
transcript.pyannote[1572].start 7960.20471875
transcript.pyannote[1572].end 7978.12596875
transcript.pyannote[1573].speaker SPEAKER_18
transcript.pyannote[1573].start 7979.17221875
transcript.pyannote[1573].end 7979.56034375
transcript.pyannote[1574].speaker SPEAKER_18
transcript.pyannote[1574].start 7979.77971875
transcript.pyannote[1574].end 7981.73721875
transcript.pyannote[1575].speaker SPEAKER_18
transcript.pyannote[1575].start 7982.05784375
transcript.pyannote[1575].end 7983.50909375
transcript.pyannote[1576].speaker SPEAKER_18
transcript.pyannote[1576].start 7984.16721875
transcript.pyannote[1576].end 7985.51721875
transcript.pyannote[1577].speaker SPEAKER_18
transcript.pyannote[1577].start 7985.71971875
transcript.pyannote[1577].end 7988.43659375
transcript.pyannote[1578].speaker SPEAKER_18
transcript.pyannote[1578].start 7989.21284375
transcript.pyannote[1578].end 7997.11034375
transcript.pyannote[1579].speaker SPEAKER_18
transcript.pyannote[1579].start 7997.65034375
transcript.pyannote[1579].end 8001.86909375
transcript.pyannote[1580].speaker SPEAKER_18
transcript.pyannote[1580].start 8001.97034375
transcript.pyannote[1580].end 8007.62346875
transcript.pyannote[1581].speaker SPEAKER_18
transcript.pyannote[1581].start 8008.01159375
transcript.pyannote[1581].end 8010.67784375
transcript.pyannote[1582].speaker SPEAKER_18
transcript.pyannote[1582].start 8011.13346875
transcript.pyannote[1582].end 8018.06909375
transcript.pyannote[1583].speaker SPEAKER_18
transcript.pyannote[1583].start 8018.25471875
transcript.pyannote[1583].end 8021.83221875
transcript.pyannote[1584].speaker SPEAKER_18
transcript.pyannote[1584].start 8022.20346875
transcript.pyannote[1584].end 8028.81846875
transcript.pyannote[1585].speaker SPEAKER_18
transcript.pyannote[1585].start 8029.35846875
transcript.pyannote[1585].end 8048.27534375
transcript.pyannote[1586].speaker SPEAKER_18
transcript.pyannote[1586].start 8048.98409375
transcript.pyannote[1586].end 8056.37534375
transcript.pyannote[1587].speaker SPEAKER_18
transcript.pyannote[1587].start 8056.59471875
transcript.pyannote[1587].end 8059.78409375
transcript.pyannote[1588].speaker SPEAKER_18
transcript.pyannote[1588].start 8059.81784375
transcript.pyannote[1588].end 8063.47971875
transcript.pyannote[1589].speaker SPEAKER_18
transcript.pyannote[1589].start 8063.71596875
transcript.pyannote[1589].end 8067.51284375
transcript.pyannote[1590].speaker SPEAKER_18
transcript.pyannote[1590].start 8068.93034375
transcript.pyannote[1590].end 8069.53784375
transcript.pyannote[1591].speaker SPEAKER_18
transcript.pyannote[1591].start 8069.74034375
transcript.pyannote[1591].end 8078.41409375
transcript.pyannote[1592].speaker SPEAKER_18
transcript.pyannote[1592].start 8078.78534375
transcript.pyannote[1592].end 8083.94909375
transcript.pyannote[1593].speaker SPEAKER_18
transcript.pyannote[1593].start 8084.33721875
transcript.pyannote[1593].end 8087.77971875
transcript.pyannote[1594].speaker SPEAKER_18
transcript.pyannote[1594].start 8087.99909375
transcript.pyannote[1594].end 8093.16284375
transcript.pyannote[1595].speaker SPEAKER_18
transcript.pyannote[1595].start 8093.24721875
transcript.pyannote[1595].end 8097.38159375
transcript.pyannote[1596].speaker SPEAKER_18
transcript.pyannote[1596].start 8097.75284375
transcript.pyannote[1596].end 8104.94159375
transcript.pyannote[1597].speaker SPEAKER_18
transcript.pyannote[1597].start 8105.66721875
transcript.pyannote[1597].end 8109.07596875
transcript.pyannote[1598].speaker SPEAKER_18
transcript.pyannote[1598].start 8109.26159375
transcript.pyannote[1598].end 8118.20534375
transcript.pyannote[1599].speaker SPEAKER_18
transcript.pyannote[1599].start 8118.52596875
transcript.pyannote[1599].end 8128.97159375
transcript.pyannote[1600].speaker SPEAKER_18
transcript.pyannote[1600].start 8129.34284375
transcript.pyannote[1600].end 8130.74346875
transcript.pyannote[1601].speaker SPEAKER_18
transcript.pyannote[1601].start 8131.41846875
transcript.pyannote[1601].end 8131.87409375
transcript.pyannote[1602].speaker SPEAKER_18
transcript.pyannote[1602].start 8132.51534375
transcript.pyannote[1602].end 8138.47221875
transcript.pyannote[1603].speaker SPEAKER_18
transcript.pyannote[1603].start 8138.65784375
transcript.pyannote[1603].end 8144.20971875
transcript.pyannote[1604].speaker SPEAKER_18
transcript.pyannote[1604].start 8144.54721875
transcript.pyannote[1604].end 8147.29784375
transcript.pyannote[1605].speaker SPEAKER_18
transcript.pyannote[1605].start 8147.92221875
transcript.pyannote[1605].end 8156.86596875
transcript.pyannote[1606].speaker SPEAKER_18
transcript.pyannote[1606].start 8157.08534375
transcript.pyannote[1606].end 8162.26596875
transcript.pyannote[1607].speaker SPEAKER_18
transcript.pyannote[1607].start 8162.43471875
transcript.pyannote[1607].end 8164.05471875
transcript.pyannote[1608].speaker SPEAKER_18
transcript.pyannote[1608].start 8164.81409375
transcript.pyannote[1608].end 8168.50971875
transcript.pyannote[1609].speaker SPEAKER_18
transcript.pyannote[1609].start 8168.77971875
transcript.pyannote[1609].end 8170.16346875
transcript.pyannote[1610].speaker SPEAKER_18
transcript.pyannote[1610].start 8170.46721875
transcript.pyannote[1610].end 8174.23034375
transcript.pyannote[1611].speaker SPEAKER_18
transcript.pyannote[1611].start 8174.51721875
transcript.pyannote[1611].end 8186.34659375
transcript.pyannote[1612].speaker SPEAKER_18
transcript.pyannote[1612].start 8186.95409375
transcript.pyannote[1612].end 8198.32784375
transcript.pyannote[1613].speaker SPEAKER_18
transcript.pyannote[1613].start 8198.71596875
transcript.pyannote[1613].end 8209.95471875
transcript.pyannote[1614].speaker SPEAKER_18
transcript.pyannote[1614].start 8210.20784375
transcript.pyannote[1614].end 8211.05159375
transcript.pyannote[1615].speaker SPEAKER_18
transcript.pyannote[1615].start 8211.59159375
transcript.pyannote[1615].end 8218.32471875
transcript.pyannote[1616].speaker SPEAKER_18
transcript.pyannote[1616].start 8218.62846875
transcript.pyannote[1616].end 8219.77596875
transcript.pyannote[1617].speaker SPEAKER_18
transcript.pyannote[1617].start 8220.06284375
transcript.pyannote[1617].end 8222.88096875
transcript.pyannote[1618].speaker SPEAKER_18
transcript.pyannote[1618].start 8223.50534375
transcript.pyannote[1618].end 8227.28534375
transcript.pyannote[1619].speaker SPEAKER_18
transcript.pyannote[1619].start 8227.72409375
transcript.pyannote[1619].end 8231.63909375
transcript.pyannote[1620].speaker SPEAKER_18
transcript.pyannote[1620].start 8231.72346875
transcript.pyannote[1620].end 8237.54534375
transcript.pyannote[1621].speaker SPEAKER_18
transcript.pyannote[1621].start 8238.10221875
transcript.pyannote[1621].end 8240.29596875
transcript.pyannote[1622].speaker SPEAKER_18
transcript.pyannote[1622].start 8240.44784375
transcript.pyannote[1622].end 8248.81784375
transcript.pyannote[1623].speaker SPEAKER_18
transcript.pyannote[1623].start 8249.50971875
transcript.pyannote[1623].end 8256.59721875
transcript.pyannote[1624].speaker SPEAKER_18
transcript.pyannote[1624].start 8257.15409375
transcript.pyannote[1624].end 8258.57159375
transcript.pyannote[1625].speaker SPEAKER_18
transcript.pyannote[1625].start 8259.11159375
transcript.pyannote[1625].end 8266.36784375
transcript.pyannote[1626].speaker SPEAKER_18
transcript.pyannote[1626].start 8267.05971875
transcript.pyannote[1626].end 8270.85659375
transcript.pyannote[1627].speaker SPEAKER_18
transcript.pyannote[1627].start 8270.89034375
transcript.pyannote[1627].end 8274.85596875
transcript.pyannote[1628].speaker SPEAKER_18
transcript.pyannote[1628].start 8275.31159375
transcript.pyannote[1628].end 8286.49971875
transcript.pyannote[1629].speaker SPEAKER_18
transcript.pyannote[1629].start 8286.61784375
transcript.pyannote[1629].end 8293.36784375
transcript.pyannote[1630].speaker SPEAKER_18
transcript.pyannote[1630].start 8293.65471875
transcript.pyannote[1630].end 8296.99596875
transcript.pyannote[1631].speaker SPEAKER_18
transcript.pyannote[1631].start 8297.28284375
transcript.pyannote[1631].end 8309.02784375
transcript.pyannote[1632].speaker SPEAKER_18
transcript.pyannote[1632].start 8309.80409375
transcript.pyannote[1632].end 8314.49534375
transcript.pyannote[1633].speaker SPEAKER_18
transcript.pyannote[1633].start 8314.96784375
transcript.pyannote[1633].end 8318.76471875
transcript.pyannote[1634].speaker SPEAKER_18
transcript.pyannote[1634].start 8319.28784375
transcript.pyannote[1634].end 8322.83159375
transcript.pyannote[1635].speaker SPEAKER_18
transcript.pyannote[1635].start 8323.10159375
transcript.pyannote[1635].end 8332.97346875
transcript.pyannote[1636].speaker SPEAKER_18
transcript.pyannote[1636].start 8333.09159375
transcript.pyannote[1636].end 8342.45721875
transcript.pyannote[1637].speaker SPEAKER_18
transcript.pyannote[1637].start 8342.79471875
transcript.pyannote[1637].end 8348.32971875
transcript.pyannote[1638].speaker SPEAKER_18
transcript.pyannote[1638].start 8348.85284375
transcript.pyannote[1638].end 8355.85596875
transcript.pyannote[1639].speaker SPEAKER_18
transcript.pyannote[1639].start 8356.22721875
transcript.pyannote[1639].end 8362.80846875
transcript.pyannote[1640].speaker SPEAKER_18
transcript.pyannote[1640].start 8363.14596875
transcript.pyannote[1640].end 8364.47909375
transcript.pyannote[1641].speaker SPEAKER_18
transcript.pyannote[1641].start 8365.00221875
transcript.pyannote[1641].end 8367.90471875
transcript.pyannote[1642].speaker SPEAKER_18
transcript.pyannote[1642].start 8368.34346875
transcript.pyannote[1642].end 8378.18159375
transcript.pyannote[1643].speaker SPEAKER_18
transcript.pyannote[1643].start 8378.31659375
transcript.pyannote[1643].end 8379.16034375
transcript.pyannote[1644].speaker SPEAKER_01
transcript.pyannote[1644].start 8379.88596875
transcript.pyannote[1644].end 8382.24846875
transcript.pyannote[1645].speaker SPEAKER_01
transcript.pyannote[1645].start 8384.17221875
transcript.pyannote[1645].end 8388.64409375
transcript.pyannote[1646].speaker SPEAKER_10
transcript.pyannote[1646].start 8396.54159375
transcript.pyannote[1646].end 8396.87909375
transcript.pyannote[1647].speaker SPEAKER_07
transcript.pyannote[1647].start 8418.93471875
transcript.pyannote[1647].end 8420.23409375
transcript.pyannote[1648].speaker SPEAKER_01
transcript.pyannote[1648].start 8420.60534375
transcript.pyannote[1648].end 8422.61346875
transcript.pyannote[1649].speaker SPEAKER_07
transcript.pyannote[1649].start 8434.51034375
transcript.pyannote[1649].end 8449.95096875
transcript.pyannote[1650].speaker SPEAKER_07
transcript.pyannote[1650].start 8450.23784375
transcript.pyannote[1650].end 8456.32971875
transcript.pyannote[1651].speaker SPEAKER_07
transcript.pyannote[1651].start 8456.75159375
transcript.pyannote[1651].end 8457.10596875
transcript.pyannote[1652].speaker SPEAKER_07
transcript.pyannote[1652].start 8457.94971875
transcript.pyannote[1652].end 8466.69096875
transcript.pyannote[1653].speaker SPEAKER_07
transcript.pyannote[1653].start 8466.75846875
transcript.pyannote[1653].end 8493.89346875
transcript.pyannote[1654].speaker SPEAKER_18
transcript.pyannote[1654].start 8494.12971875
transcript.pyannote[1654].end 8494.51784375
transcript.pyannote[1655].speaker SPEAKER_07
transcript.pyannote[1655].start 8496.03659375
transcript.pyannote[1655].end 8509.16534375
transcript.pyannote[1656].speaker SPEAKER_07
transcript.pyannote[1656].start 8509.26659375
transcript.pyannote[1656].end 8515.59471875
transcript.pyannote[1657].speaker SPEAKER_07
transcript.pyannote[1657].start 8515.96596875
transcript.pyannote[1657].end 8548.58534375
transcript.pyannote[1658].speaker SPEAKER_07
transcript.pyannote[1658].start 8548.90596875
transcript.pyannote[1658].end 8555.06534375
transcript.pyannote[1659].speaker SPEAKER_07
transcript.pyannote[1659].start 8555.26784375
transcript.pyannote[1659].end 8571.29909375
transcript.pyannote[1660].speaker SPEAKER_07
transcript.pyannote[1660].start 8571.53534375
transcript.pyannote[1660].end 8573.34096875
transcript.pyannote[1661].speaker SPEAKER_07
transcript.pyannote[1661].start 8573.44221875
transcript.pyannote[1661].end 8576.22659375
transcript.pyannote[1662].speaker SPEAKER_07
transcript.pyannote[1662].start 8576.27721875
transcript.pyannote[1662].end 8585.77784375
transcript.pyannote[1663].speaker SPEAKER_07
transcript.pyannote[1663].start 8585.96346875
transcript.pyannote[1663].end 8596.78034375
transcript.pyannote[1664].speaker SPEAKER_07
transcript.pyannote[1664].start 8597.03346875
transcript.pyannote[1664].end 8599.69971875
transcript.pyannote[1665].speaker SPEAKER_07
transcript.pyannote[1665].start 8599.81784375
transcript.pyannote[1665].end 8609.85846875
transcript.pyannote[1666].speaker SPEAKER_07
transcript.pyannote[1666].start 8610.28034375
transcript.pyannote[1666].end 8626.90221875
transcript.pyannote[1667].speaker SPEAKER_07
transcript.pyannote[1667].start 8627.37471875
transcript.pyannote[1667].end 8628.60659375
transcript.pyannote[1668].speaker SPEAKER_07
transcript.pyannote[1668].start 8629.29846875
transcript.pyannote[1668].end 8629.97346875
transcript.pyannote[1669].speaker SPEAKER_18
transcript.pyannote[1669].start 8629.97346875
transcript.pyannote[1669].end 8631.44159375
transcript.pyannote[1670].speaker SPEAKER_18
transcript.pyannote[1670].start 8631.54284375
transcript.pyannote[1670].end 8633.70284375
transcript.pyannote[1671].speaker SPEAKER_18
transcript.pyannote[1671].start 8633.88846875
transcript.pyannote[1671].end 8639.50784375
transcript.pyannote[1672].speaker SPEAKER_18
transcript.pyannote[1672].start 8640.13221875
transcript.pyannote[1672].end 8642.62971875
transcript.pyannote[1673].speaker SPEAKER_18
transcript.pyannote[1673].start 8642.83221875
transcript.pyannote[1673].end 8648.02971875
transcript.pyannote[1674].speaker SPEAKER_07
transcript.pyannote[1674].start 8646.30846875
transcript.pyannote[1674].end 8647.27034375
transcript.pyannote[1675].speaker SPEAKER_07
transcript.pyannote[1675].start 8648.02971875
transcript.pyannote[1675].end 8650.00409375
transcript.pyannote[1676].speaker SPEAKER_18
transcript.pyannote[1676].start 8649.36284375
transcript.pyannote[1676].end 8661.69846875
transcript.pyannote[1677].speaker SPEAKER_07
transcript.pyannote[1677].start 8662.03596875
transcript.pyannote[1677].end 8674.79346875
transcript.pyannote[1678].speaker SPEAKER_18
transcript.pyannote[1678].start 8674.79346875
transcript.pyannote[1678].end 8674.81034375
transcript.pyannote[1679].speaker SPEAKER_07
transcript.pyannote[1679].start 8675.40096875
transcript.pyannote[1679].end 8675.97471875
transcript.pyannote[1680].speaker SPEAKER_18
transcript.pyannote[1680].start 8675.97471875
transcript.pyannote[1680].end 8678.42159375
transcript.pyannote[1681].speaker SPEAKER_18
transcript.pyannote[1681].start 8678.57346875
transcript.pyannote[1681].end 8681.89784375
transcript.pyannote[1682].speaker SPEAKER_18
transcript.pyannote[1682].start 8681.99909375
transcript.pyannote[1682].end 8704.74659375
transcript.pyannote[1683].speaker SPEAKER_18
transcript.pyannote[1683].start 8705.11784375
transcript.pyannote[1683].end 8706.72096875
transcript.pyannote[1684].speaker SPEAKER_18
transcript.pyannote[1684].start 8707.07534375
transcript.pyannote[1684].end 8714.17971875
transcript.pyannote[1685].speaker SPEAKER_07
transcript.pyannote[1685].start 8715.02346875
transcript.pyannote[1685].end 8724.82784375
transcript.pyannote[1686].speaker SPEAKER_07
transcript.pyannote[1686].start 8724.91221875
transcript.pyannote[1686].end 8736.20159375
transcript.pyannote[1687].speaker SPEAKER_07
transcript.pyannote[1687].start 8736.75846875
transcript.pyannote[1687].end 8738.96909375
transcript.pyannote[1688].speaker SPEAKER_18
transcript.pyannote[1688].start 8738.96909375
transcript.pyannote[1688].end 8739.25596875
transcript.pyannote[1689].speaker SPEAKER_07
transcript.pyannote[1689].start 8739.25596875
transcript.pyannote[1689].end 8739.27284375
transcript.pyannote[1690].speaker SPEAKER_10
transcript.pyannote[1690].start 8739.42471875
transcript.pyannote[1690].end 8739.82971875
transcript.pyannote[1691].speaker SPEAKER_07
transcript.pyannote[1691].start 8739.82971875
transcript.pyannote[1691].end 8739.86346875
transcript.pyannote[1692].speaker SPEAKER_18
transcript.pyannote[1692].start 8739.86346875
transcript.pyannote[1692].end 8747.37284375
transcript.pyannote[1693].speaker SPEAKER_07
transcript.pyannote[1693].start 8748.58784375
transcript.pyannote[1693].end 8770.81221875
transcript.pyannote[1694].speaker SPEAKER_18
transcript.pyannote[1694].start 8770.81221875
transcript.pyannote[1694].end 8778.65909375
transcript.pyannote[1695].speaker SPEAKER_18
transcript.pyannote[1695].start 8779.18221875
transcript.pyannote[1695].end 8793.32346875
transcript.pyannote[1696].speaker SPEAKER_18
transcript.pyannote[1696].start 8794.45409375
transcript.pyannote[1696].end 8800.02284375
transcript.pyannote[1697].speaker SPEAKER_07
transcript.pyannote[1697].start 8800.02284375
transcript.pyannote[1697].end 8800.95096875
transcript.pyannote[1698].speaker SPEAKER_07
transcript.pyannote[1698].start 8801.49096875
transcript.pyannote[1698].end 8810.63721875
transcript.pyannote[1699].speaker SPEAKER_07
transcript.pyannote[1699].start 8810.70471875
transcript.pyannote[1699].end 8817.01596875
transcript.pyannote[1700].speaker SPEAKER_07
transcript.pyannote[1700].start 8817.77534375
transcript.pyannote[1700].end 8820.34034375
transcript.pyannote[1701].speaker SPEAKER_07
transcript.pyannote[1701].start 8820.61034375
transcript.pyannote[1701].end 8826.19596875
transcript.pyannote[1702].speaker SPEAKER_07
transcript.pyannote[1702].start 8826.71909375
transcript.pyannote[1702].end 8835.73034375
transcript.pyannote[1703].speaker SPEAKER_07
transcript.pyannote[1703].start 8835.89909375
transcript.pyannote[1703].end 8840.97846875
transcript.pyannote[1704].speaker SPEAKER_18
transcript.pyannote[1704].start 8840.97846875
transcript.pyannote[1704].end 8845.99034375
transcript.pyannote[1705].speaker SPEAKER_18
transcript.pyannote[1705].start 8846.66534375
transcript.pyannote[1705].end 8853.82034375
transcript.pyannote[1706].speaker SPEAKER_18
transcript.pyannote[1706].start 8854.44471875
transcript.pyannote[1706].end 8855.71034375
transcript.pyannote[1707].speaker SPEAKER_18
transcript.pyannote[1707].start 8856.16596875
transcript.pyannote[1707].end 8858.41034375
transcript.pyannote[1708].speaker SPEAKER_18
transcript.pyannote[1708].start 8859.64221875
transcript.pyannote[1708].end 8867.84346875
transcript.pyannote[1709].speaker SPEAKER_18
transcript.pyannote[1709].start 8868.61971875
transcript.pyannote[1709].end 8872.29846875
transcript.pyannote[1710].speaker SPEAKER_18
transcript.pyannote[1710].start 8872.72034375
transcript.pyannote[1710].end 8877.02346875
transcript.pyannote[1711].speaker SPEAKER_18
transcript.pyannote[1711].start 8877.73221875
transcript.pyannote[1711].end 8887.26659375
transcript.pyannote[1712].speaker SPEAKER_18
transcript.pyannote[1712].start 8887.92471875
transcript.pyannote[1712].end 8889.94971875
transcript.pyannote[1713].speaker SPEAKER_18
transcript.pyannote[1713].start 8890.30409375
transcript.pyannote[1713].end 8891.35034375
transcript.pyannote[1714].speaker SPEAKER_18
transcript.pyannote[1714].start 8891.82284375
transcript.pyannote[1714].end 8892.78471875
transcript.pyannote[1715].speaker SPEAKER_18
transcript.pyannote[1715].start 8893.67909375
transcript.pyannote[1715].end 8897.30721875
transcript.pyannote[1716].speaker SPEAKER_18
transcript.pyannote[1716].start 8897.57721875
transcript.pyannote[1716].end 8901.61034375
transcript.pyannote[1717].speaker SPEAKER_18
transcript.pyannote[1717].start 8901.76221875
transcript.pyannote[1717].end 8903.17971875
transcript.pyannote[1718].speaker SPEAKER_18
transcript.pyannote[1718].start 8903.63534375
transcript.pyannote[1718].end 8904.02346875
transcript.pyannote[1719].speaker SPEAKER_07
transcript.pyannote[1719].start 8904.02346875
transcript.pyannote[1719].end 8905.12034375
transcript.pyannote[1720].speaker SPEAKER_07
transcript.pyannote[1720].start 8905.82909375
transcript.pyannote[1720].end 8927.34471875
transcript.pyannote[1721].speaker SPEAKER_07
transcript.pyannote[1721].start 8927.93534375
transcript.pyannote[1721].end 8928.37409375
transcript.pyannote[1722].speaker SPEAKER_18
transcript.pyannote[1722].start 8928.37409375
transcript.pyannote[1722].end 8928.42471875
transcript.pyannote[1723].speaker SPEAKER_07
transcript.pyannote[1723].start 8928.49221875
transcript.pyannote[1723].end 8928.96471875
transcript.pyannote[1724].speaker SPEAKER_18
transcript.pyannote[1724].start 8928.96471875
transcript.pyannote[1724].end 8931.37784375
transcript.pyannote[1725].speaker SPEAKER_18
transcript.pyannote[1725].start 8931.83346875
transcript.pyannote[1725].end 8936.59221875
transcript.pyannote[1726].speaker SPEAKER_18
transcript.pyannote[1726].start 8937.09846875
transcript.pyannote[1726].end 8943.73034375
transcript.pyannote[1727].speaker SPEAKER_18
transcript.pyannote[1727].start 8944.30409375
transcript.pyannote[1727].end 8945.28284375
transcript.pyannote[1728].speaker SPEAKER_18
transcript.pyannote[1728].start 8946.32909375
transcript.pyannote[1728].end 8950.90221875
transcript.pyannote[1729].speaker SPEAKER_18
transcript.pyannote[1729].start 8951.59409375
transcript.pyannote[1729].end 8956.42034375
transcript.pyannote[1730].speaker SPEAKER_18
transcript.pyannote[1730].start 8957.16284375
transcript.pyannote[1730].end 8959.00221875
transcript.pyannote[1731].speaker SPEAKER_18
transcript.pyannote[1731].start 8959.44096875
transcript.pyannote[1731].end 8961.28034375
transcript.pyannote[1732].speaker SPEAKER_18
transcript.pyannote[1732].start 8961.85409375
transcript.pyannote[1732].end 8966.07284375
transcript.pyannote[1733].speaker SPEAKER_18
transcript.pyannote[1733].start 8966.93346875
transcript.pyannote[1733].end 8969.09346875
transcript.pyannote[1734].speaker SPEAKER_18
transcript.pyannote[1734].start 8969.48159375
transcript.pyannote[1734].end 8976.56909375
transcript.pyannote[1735].speaker SPEAKER_18
transcript.pyannote[1735].start 8977.36221875
transcript.pyannote[1735].end 8978.99909375
transcript.pyannote[1736].speaker SPEAKER_18
transcript.pyannote[1736].start 8979.25221875
transcript.pyannote[1736].end 8981.24346875
transcript.pyannote[1737].speaker SPEAKER_18
transcript.pyannote[1737].start 8981.41221875
transcript.pyannote[1737].end 8981.90159375
transcript.pyannote[1738].speaker SPEAKER_18
transcript.pyannote[1738].start 8982.05346875
transcript.pyannote[1738].end 8987.70659375
transcript.pyannote[1739].speaker SPEAKER_18
transcript.pyannote[1739].start 8988.01034375
transcript.pyannote[1739].end 8990.92971875
transcript.pyannote[1740].speaker SPEAKER_18
transcript.pyannote[1740].start 8991.45284375
transcript.pyannote[1740].end 8992.76909375
transcript.pyannote[1741].speaker SPEAKER_18
transcript.pyannote[1741].start 8993.74784375
transcript.pyannote[1741].end 9000.78471875
transcript.pyannote[1742].speaker SPEAKER_18
transcript.pyannote[1742].start 9001.49346875
transcript.pyannote[1742].end 9003.13034375
transcript.pyannote[1743].speaker SPEAKER_18
transcript.pyannote[1743].start 9003.87284375
transcript.pyannote[1743].end 9009.49221875
transcript.pyannote[1744].speaker SPEAKER_18
transcript.pyannote[1744].start 9010.06596875
transcript.pyannote[1744].end 9010.43721875
transcript.pyannote[1745].speaker SPEAKER_18
transcript.pyannote[1745].start 9010.94346875
transcript.pyannote[1745].end 9013.64346875
transcript.pyannote[1746].speaker SPEAKER_18
transcript.pyannote[1746].start 9014.43659375
transcript.pyannote[1746].end 9019.33034375
transcript.pyannote[1747].speaker SPEAKER_07
transcript.pyannote[1747].start 9019.65096875
transcript.pyannote[1747].end 9049.06409375
transcript.pyannote[1748].speaker SPEAKER_18
transcript.pyannote[1748].start 9049.65471875
transcript.pyannote[1748].end 9056.77596875
transcript.pyannote[1749].speaker SPEAKER_18
transcript.pyannote[1749].start 9056.97846875
transcript.pyannote[1749].end 9057.67034375
transcript.pyannote[1750].speaker SPEAKER_18
transcript.pyannote[1750].start 9057.82221875
transcript.pyannote[1750].end 9059.98221875
transcript.pyannote[1751].speaker SPEAKER_18
transcript.pyannote[1751].start 9060.57284375
transcript.pyannote[1751].end 9065.56784375
transcript.pyannote[1752].speaker SPEAKER_18
transcript.pyannote[1752].start 9066.05721875
transcript.pyannote[1752].end 9067.42409375
transcript.pyannote[1753].speaker SPEAKER_18
transcript.pyannote[1753].start 9067.87971875
transcript.pyannote[1753].end 9073.00971875
transcript.pyannote[1754].speaker SPEAKER_18
transcript.pyannote[1754].start 9073.51596875
transcript.pyannote[1754].end 9074.37659375
transcript.pyannote[1755].speaker SPEAKER_18
transcript.pyannote[1755].start 9074.68034375
transcript.pyannote[1755].end 9075.96284375
transcript.pyannote[1756].speaker SPEAKER_18
transcript.pyannote[1756].start 9076.82346875
transcript.pyannote[1756].end 9077.19471875
transcript.pyannote[1757].speaker SPEAKER_18
transcript.pyannote[1757].start 9077.95409375
transcript.pyannote[1757].end 9084.29909375
transcript.pyannote[1758].speaker SPEAKER_18
transcript.pyannote[1758].start 9084.73784375
transcript.pyannote[1758].end 9087.47159375
transcript.pyannote[1759].speaker SPEAKER_18
transcript.pyannote[1759].start 9087.57284375
transcript.pyannote[1759].end 9089.63159375
transcript.pyannote[1760].speaker SPEAKER_18
transcript.pyannote[1760].start 9089.96909375
transcript.pyannote[1760].end 9090.93096875
transcript.pyannote[1761].speaker SPEAKER_18
transcript.pyannote[1761].start 9091.79159375
transcript.pyannote[1761].end 9092.97284375
transcript.pyannote[1762].speaker SPEAKER_18
transcript.pyannote[1762].start 9093.20909375
transcript.pyannote[1762].end 9097.95096875
transcript.pyannote[1763].speaker SPEAKER_18
transcript.pyannote[1763].start 9098.33909375
transcript.pyannote[1763].end 9099.53721875
transcript.pyannote[1764].speaker SPEAKER_18
transcript.pyannote[1764].start 9100.16159375
transcript.pyannote[1764].end 9101.57909375
transcript.pyannote[1765].speaker SPEAKER_18
transcript.pyannote[1765].start 9101.78159375
transcript.pyannote[1765].end 9102.70971875
transcript.pyannote[1766].speaker SPEAKER_18
transcript.pyannote[1766].start 9103.30034375
transcript.pyannote[1766].end 9104.85284375
transcript.pyannote[1767].speaker SPEAKER_18
transcript.pyannote[1767].start 9105.61221875
transcript.pyannote[1767].end 9110.97846875
transcript.pyannote[1768].speaker SPEAKER_18
transcript.pyannote[1768].start 9111.87284375
transcript.pyannote[1768].end 9113.35784375
transcript.pyannote[1769].speaker SPEAKER_18
transcript.pyannote[1769].start 9114.16784375
transcript.pyannote[1769].end 9114.60659375
transcript.pyannote[1770].speaker SPEAKER_18
transcript.pyannote[1770].start 9115.02846875
transcript.pyannote[1770].end 9118.23471875
transcript.pyannote[1771].speaker SPEAKER_18
transcript.pyannote[1771].start 9118.45409375
transcript.pyannote[1771].end 9120.24284375
transcript.pyannote[1772].speaker SPEAKER_18
transcript.pyannote[1772].start 9120.66471875
transcript.pyannote[1772].end 9121.81221875
transcript.pyannote[1773].speaker SPEAKER_18
transcript.pyannote[1773].start 9122.16659375
transcript.pyannote[1773].end 9124.44471875
transcript.pyannote[1774].speaker SPEAKER_18
transcript.pyannote[1774].start 9124.61346875
transcript.pyannote[1774].end 9127.06034375
transcript.pyannote[1775].speaker SPEAKER_18
transcript.pyannote[1775].start 9127.33034375
transcript.pyannote[1775].end 9133.75971875
transcript.pyannote[1776].speaker SPEAKER_18
transcript.pyannote[1776].start 9134.06346875
transcript.pyannote[1776].end 9142.58534375
transcript.pyannote[1777].speaker SPEAKER_18
transcript.pyannote[1777].start 9142.97346875
transcript.pyannote[1777].end 9146.82096875
transcript.pyannote[1778].speaker SPEAKER_18
transcript.pyannote[1778].start 9146.95596875
transcript.pyannote[1778].end 9152.69346875
transcript.pyannote[1779].speaker SPEAKER_18
transcript.pyannote[1779].start 9153.18284375
transcript.pyannote[1779].end 9161.40096875
transcript.pyannote[1780].speaker SPEAKER_18
transcript.pyannote[1780].start 9161.97471875
transcript.pyannote[1780].end 9166.32846875
transcript.pyannote[1781].speaker SPEAKER_18
transcript.pyannote[1781].start 9166.95284375
transcript.pyannote[1781].end 9171.82971875
transcript.pyannote[1782].speaker SPEAKER_18
transcript.pyannote[1782].start 9171.96471875
transcript.pyannote[1782].end 9174.44534375
transcript.pyannote[1783].speaker SPEAKER_18
transcript.pyannote[1783].start 9174.69846875
transcript.pyannote[1783].end 9183.70971875
transcript.pyannote[1784].speaker SPEAKER_18
transcript.pyannote[1784].start 9184.11471875
transcript.pyannote[1784].end 9184.82346875
transcript.pyannote[1785].speaker SPEAKER_18
transcript.pyannote[1785].start 9185.44784375
transcript.pyannote[1785].end 9190.59471875
transcript.pyannote[1786].speaker SPEAKER_07
transcript.pyannote[1786].start 9190.59471875
transcript.pyannote[1786].end 9190.69596875
transcript.pyannote[1787].speaker SPEAKER_07
transcript.pyannote[1787].start 9190.98284375
transcript.pyannote[1787].end 9194.03721875
transcript.pyannote[1788].speaker SPEAKER_07
transcript.pyannote[1788].start 9194.52659375
transcript.pyannote[1788].end 9219.73784375
transcript.pyannote[1789].speaker SPEAKER_07
transcript.pyannote[1789].start 9219.77159375
transcript.pyannote[1789].end 9240.12284375
transcript.pyannote[1790].speaker SPEAKER_18
transcript.pyannote[1790].start 9240.64596875
transcript.pyannote[1790].end 9254.26409375
transcript.pyannote[1791].speaker SPEAKER_18
transcript.pyannote[1791].start 9254.82096875
transcript.pyannote[1791].end 9255.02346875
transcript.pyannote[1792].speaker SPEAKER_18
transcript.pyannote[1792].start 9255.34409375
transcript.pyannote[1792].end 9263.68034375
transcript.pyannote[1793].speaker SPEAKER_18
transcript.pyannote[1793].start 9264.15284375
transcript.pyannote[1793].end 9269.75534375
transcript.pyannote[1794].speaker SPEAKER_18
transcript.pyannote[1794].start 9269.90721875
transcript.pyannote[1794].end 9271.56096875
transcript.pyannote[1795].speaker SPEAKER_18
transcript.pyannote[1795].start 9272.05034375
transcript.pyannote[1795].end 9277.53471875
transcript.pyannote[1796].speaker SPEAKER_18
transcript.pyannote[1796].start 9278.15909375
transcript.pyannote[1796].end 9279.81284375
transcript.pyannote[1797].speaker SPEAKER_18
transcript.pyannote[1797].start 9279.93096875
transcript.pyannote[1797].end 9284.84159375
transcript.pyannote[1798].speaker SPEAKER_18
transcript.pyannote[1798].start 9285.49971875
transcript.pyannote[1798].end 9294.64596875
transcript.pyannote[1799].speaker SPEAKER_18
transcript.pyannote[1799].start 9295.08471875
transcript.pyannote[1799].end 9301.42971875
transcript.pyannote[1800].speaker SPEAKER_18
transcript.pyannote[1800].start 9302.35784375
transcript.pyannote[1800].end 9311.08221875
transcript.pyannote[1801].speaker SPEAKER_18
transcript.pyannote[1801].start 9311.45346875
transcript.pyannote[1801].end 9311.57159375
transcript.pyannote[1802].speaker SPEAKER_18
transcript.pyannote[1802].start 9311.87534375
transcript.pyannote[1802].end 9312.93846875
transcript.pyannote[1803].speaker SPEAKER_18
transcript.pyannote[1803].start 9312.98909375
transcript.pyannote[1803].end 9321.05534375
transcript.pyannote[1804].speaker SPEAKER_18
transcript.pyannote[1804].start 9321.29159375
transcript.pyannote[1804].end 9324.22784375
transcript.pyannote[1805].speaker SPEAKER_18
transcript.pyannote[1805].start 9324.66659375
transcript.pyannote[1805].end 9332.64846875
transcript.pyannote[1806].speaker SPEAKER_18
transcript.pyannote[1806].start 9332.93534375
transcript.pyannote[1806].end 9334.94346875
transcript.pyannote[1807].speaker SPEAKER_07
transcript.pyannote[1807].start 9334.94346875
transcript.pyannote[1807].end 9334.96034375
transcript.pyannote[1808].speaker SPEAKER_18
transcript.pyannote[1808].start 9335.31471875
transcript.pyannote[1808].end 9335.36534375
transcript.pyannote[1809].speaker SPEAKER_07
transcript.pyannote[1809].start 9335.36534375
transcript.pyannote[1809].end 9358.07909375
transcript.pyannote[1810].speaker SPEAKER_07
transcript.pyannote[1810].start 9358.46721875
transcript.pyannote[1810].end 9358.97346875
transcript.pyannote[1811].speaker SPEAKER_18
transcript.pyannote[1811].start 9358.97346875
transcript.pyannote[1811].end 9359.15909375
transcript.pyannote[1812].speaker SPEAKER_07
transcript.pyannote[1812].start 9359.59784375
transcript.pyannote[1812].end 9359.61471875
transcript.pyannote[1813].speaker SPEAKER_18
transcript.pyannote[1813].start 9359.61471875
transcript.pyannote[1813].end 9364.30596875
transcript.pyannote[1814].speaker SPEAKER_18
transcript.pyannote[1814].start 9364.69409375
transcript.pyannote[1814].end 9372.22034375
transcript.pyannote[1815].speaker SPEAKER_18
transcript.pyannote[1815].start 9372.76034375
transcript.pyannote[1815].end 9375.03846875
transcript.pyannote[1816].speaker SPEAKER_07
transcript.pyannote[1816].start 9375.03846875
transcript.pyannote[1816].end 9385.19721875
transcript.pyannote[1817].speaker SPEAKER_18
transcript.pyannote[1817].start 9375.39284375
transcript.pyannote[1817].end 9375.40971875
transcript.pyannote[1818].speaker SPEAKER_08
transcript.pyannote[1818].start 9375.40971875
transcript.pyannote[1818].end 9375.86534375
transcript.pyannote[1819].speaker SPEAKER_18
transcript.pyannote[1819].start 9375.86534375
transcript.pyannote[1819].end 9375.98346875
transcript.pyannote[1820].speaker SPEAKER_18
transcript.pyannote[1820].start 9385.34909375
transcript.pyannote[1820].end 9385.95659375
transcript.pyannote[1821].speaker SPEAKER_18
transcript.pyannote[1821].start 9385.99034375
transcript.pyannote[1821].end 9391.18784375
transcript.pyannote[1822].speaker SPEAKER_18
transcript.pyannote[1822].start 9391.52534375
transcript.pyannote[1822].end 9401.73471875
transcript.pyannote[1823].speaker SPEAKER_18
transcript.pyannote[1823].start 9402.30846875
transcript.pyannote[1823].end 9410.44221875
transcript.pyannote[1824].speaker SPEAKER_18
transcript.pyannote[1824].start 9410.83034375
transcript.pyannote[1824].end 9429.13971875
transcript.pyannote[1825].speaker SPEAKER_18
transcript.pyannote[1825].start 9429.61221875
transcript.pyannote[1825].end 9434.03346875
transcript.pyannote[1826].speaker SPEAKER_18
transcript.pyannote[1826].start 9434.38784375
transcript.pyannote[1826].end 9438.01596875
transcript.pyannote[1827].speaker SPEAKER_18
transcript.pyannote[1827].start 9438.77534375
transcript.pyannote[1827].end 9441.61034375
transcript.pyannote[1828].speaker SPEAKER_18
transcript.pyannote[1828].start 9441.91409375
transcript.pyannote[1828].end 9451.80284375
transcript.pyannote[1829].speaker SPEAKER_07
transcript.pyannote[1829].start 9452.29221875
transcript.pyannote[1829].end 9459.24471875
transcript.pyannote[1830].speaker SPEAKER_07
transcript.pyannote[1830].start 9459.76784375
transcript.pyannote[1830].end 9460.96596875
transcript.pyannote[1831].speaker SPEAKER_18
transcript.pyannote[1831].start 9460.96596875
transcript.pyannote[1831].end 9461.35409375
transcript.pyannote[1832].speaker SPEAKER_07
transcript.pyannote[1832].start 9461.96159375
transcript.pyannote[1832].end 9461.97846875
transcript.pyannote[1833].speaker SPEAKER_18
transcript.pyannote[1833].start 9461.97846875
transcript.pyannote[1833].end 9465.23534375
transcript.pyannote[1834].speaker SPEAKER_18
transcript.pyannote[1834].start 9465.99471875
transcript.pyannote[1834].end 9470.87159375
transcript.pyannote[1835].speaker SPEAKER_18
transcript.pyannote[1835].start 9470.98971875
transcript.pyannote[1835].end 9474.24659375
transcript.pyannote[1836].speaker SPEAKER_18
transcript.pyannote[1836].start 9475.46159375
transcript.pyannote[1836].end 9482.05971875
transcript.pyannote[1837].speaker SPEAKER_18
transcript.pyannote[1837].start 9482.56596875
transcript.pyannote[1837].end 9486.12659375
transcript.pyannote[1838].speaker SPEAKER_18
transcript.pyannote[1838].start 9486.46409375
transcript.pyannote[1838].end 9488.01659375
transcript.pyannote[1839].speaker SPEAKER_18
transcript.pyannote[1839].start 9488.45534375
transcript.pyannote[1839].end 9492.06659375
transcript.pyannote[1840].speaker SPEAKER_18
transcript.pyannote[1840].start 9492.26909375
transcript.pyannote[1840].end 9494.42909375
transcript.pyannote[1841].speaker SPEAKER_18
transcript.pyannote[1841].start 9494.98596875
transcript.pyannote[1841].end 9502.09034375
transcript.pyannote[1842].speaker SPEAKER_18
transcript.pyannote[1842].start 9502.20846875
transcript.pyannote[1842].end 9503.44034375
transcript.pyannote[1843].speaker SPEAKER_18
transcript.pyannote[1843].start 9503.87909375
transcript.pyannote[1843].end 9510.17346875
transcript.pyannote[1844].speaker SPEAKER_18
transcript.pyannote[1844].start 9510.69659375
transcript.pyannote[1844].end 9513.04221875
transcript.pyannote[1845].speaker SPEAKER_18
transcript.pyannote[1845].start 9513.51471875
transcript.pyannote[1845].end 9518.03721875
transcript.pyannote[1846].speaker SPEAKER_18
transcript.pyannote[1846].start 9519.10034375
transcript.pyannote[1846].end 9524.46659375
transcript.pyannote[1847].speaker SPEAKER_18
transcript.pyannote[1847].start 9525.00659375
transcript.pyannote[1847].end 9533.71409375
transcript.pyannote[1848].speaker SPEAKER_18
transcript.pyannote[1848].start 9534.16971875
transcript.pyannote[1848].end 9536.34659375
transcript.pyannote[1849].speaker SPEAKER_18
transcript.pyannote[1849].start 9536.56596875
transcript.pyannote[1849].end 9538.50659375
transcript.pyannote[1850].speaker SPEAKER_18
transcript.pyannote[1850].start 9538.69221875
transcript.pyannote[1850].end 9539.70471875
transcript.pyannote[1851].speaker SPEAKER_18
transcript.pyannote[1851].start 9539.92409375
transcript.pyannote[1851].end 9541.44284375
transcript.pyannote[1852].speaker SPEAKER_18
transcript.pyannote[1852].start 9541.79721875
transcript.pyannote[1852].end 9542.64096875
transcript.pyannote[1853].speaker SPEAKER_18
transcript.pyannote[1853].start 9542.79284375
transcript.pyannote[1853].end 9543.90659375
transcript.pyannote[1854].speaker SPEAKER_18
transcript.pyannote[1854].start 9544.17659375
transcript.pyannote[1854].end 9545.03721875
transcript.pyannote[1855].speaker SPEAKER_18
transcript.pyannote[1855].start 9545.29034375
transcript.pyannote[1855].end 9559.85346875
transcript.pyannote[1856].speaker SPEAKER_18
transcript.pyannote[1856].start 9560.22471875
transcript.pyannote[1856].end 9567.88596875
transcript.pyannote[1857].speaker SPEAKER_18
transcript.pyannote[1857].start 9568.24034375
transcript.pyannote[1857].end 9570.65346875
transcript.pyannote[1858].speaker SPEAKER_18
transcript.pyannote[1858].start 9571.58159375
transcript.pyannote[1858].end 9573.74159375
transcript.pyannote[1859].speaker SPEAKER_18
transcript.pyannote[1859].start 9574.41659375
transcript.pyannote[1859].end 9577.74096875
transcript.pyannote[1860].speaker SPEAKER_18
transcript.pyannote[1860].start 9578.33159375
transcript.pyannote[1860].end 9581.03159375
transcript.pyannote[1861].speaker SPEAKER_07
transcript.pyannote[1861].start 9581.03159375
transcript.pyannote[1861].end 9582.65159375
transcript.pyannote[1862].speaker SPEAKER_07
transcript.pyannote[1862].start 9583.17471875
transcript.pyannote[1862].end 9589.06409375
transcript.pyannote[1863].speaker SPEAKER_07
transcript.pyannote[1863].start 9589.35096875
transcript.pyannote[1863].end 9591.79784375
transcript.pyannote[1864].speaker SPEAKER_07
transcript.pyannote[1864].start 9592.08471875
transcript.pyannote[1864].end 9596.30346875
transcript.pyannote[1865].speaker SPEAKER_07
transcript.pyannote[1865].start 9596.45534375
transcript.pyannote[1865].end 9610.46159375
transcript.pyannote[1866].speaker SPEAKER_18
transcript.pyannote[1866].start 9610.95096875
transcript.pyannote[1866].end 9616.08096875
transcript.pyannote[1867].speaker SPEAKER_18
transcript.pyannote[1867].start 9616.45221875
transcript.pyannote[1867].end 9618.20721875
transcript.pyannote[1868].speaker SPEAKER_18
transcript.pyannote[1868].start 9618.62909375
transcript.pyannote[1868].end 9624.09659375
transcript.pyannote[1869].speaker SPEAKER_18
transcript.pyannote[1869].start 9624.36659375
transcript.pyannote[1869].end 9629.10846875
transcript.pyannote[1870].speaker SPEAKER_18
transcript.pyannote[1870].start 9629.37846875
transcript.pyannote[1870].end 9633.42846875
transcript.pyannote[1871].speaker SPEAKER_01
transcript.pyannote[1871].start 9635.16659375
transcript.pyannote[1871].end 9641.07284375
transcript.pyannote[1872].speaker SPEAKER_01
transcript.pyannote[1872].start 9658.80846875
transcript.pyannote[1872].end 9658.82534375
transcript.pyannote[1873].speaker SPEAKER_05
transcript.pyannote[1873].start 9658.82534375
transcript.pyannote[1873].end 9658.85909375
transcript.pyannote[1874].speaker SPEAKER_01
transcript.pyannote[1874].start 9658.85909375
transcript.pyannote[1874].end 9659.11221875
transcript.pyannote[1875].speaker SPEAKER_05
transcript.pyannote[1875].start 9659.36534375
transcript.pyannote[1875].end 9660.20909375
transcript.pyannote[1876].speaker SPEAKER_05
transcript.pyannote[1876].start 9660.88409375
transcript.pyannote[1876].end 9661.82909375
transcript.pyannote[1877].speaker SPEAKER_01
transcript.pyannote[1877].start 9662.04846875
transcript.pyannote[1877].end 9662.63909375
transcript.pyannote[1878].speaker SPEAKER_01
transcript.pyannote[1878].start 9663.06096875
transcript.pyannote[1878].end 9664.25909375
transcript.pyannote[1879].speaker SPEAKER_05
transcript.pyannote[1879].start 9671.31284375
transcript.pyannote[1879].end 9672.27471875
transcript.pyannote[1880].speaker SPEAKER_05
transcript.pyannote[1880].start 9672.73034375
transcript.pyannote[1880].end 9673.55721875
transcript.pyannote[1881].speaker SPEAKER_05
transcript.pyannote[1881].start 9674.26596875
transcript.pyannote[1881].end 9678.01221875
transcript.pyannote[1882].speaker SPEAKER_05
transcript.pyannote[1882].start 9678.31596875
transcript.pyannote[1882].end 9682.16346875
transcript.pyannote[1883].speaker SPEAKER_05
transcript.pyannote[1883].start 9682.34909375
transcript.pyannote[1883].end 9685.75784375
transcript.pyannote[1884].speaker SPEAKER_05
transcript.pyannote[1884].start 9686.07846875
transcript.pyannote[1884].end 9697.11471875
transcript.pyannote[1885].speaker SPEAKER_05
transcript.pyannote[1885].start 9697.55346875
transcript.pyannote[1885].end 9708.01596875
transcript.pyannote[1886].speaker SPEAKER_05
transcript.pyannote[1886].start 9708.11721875
transcript.pyannote[1886].end 9710.46284375
transcript.pyannote[1887].speaker SPEAKER_05
transcript.pyannote[1887].start 9710.95221875
transcript.pyannote[1887].end 9718.37721875
transcript.pyannote[1888].speaker SPEAKER_10
transcript.pyannote[1888].start 9718.83284375
transcript.pyannote[1888].end 9718.98471875
transcript.pyannote[1889].speaker SPEAKER_10
transcript.pyannote[1889].start 9719.03534375
transcript.pyannote[1889].end 9719.05221875
transcript.pyannote[1890].speaker SPEAKER_05
transcript.pyannote[1890].start 9719.08596875
transcript.pyannote[1890].end 9722.54534375
transcript.pyannote[1891].speaker SPEAKER_05
transcript.pyannote[1891].start 9722.83221875
transcript.pyannote[1891].end 9725.93721875
transcript.pyannote[1892].speaker SPEAKER_05
transcript.pyannote[1892].start 9726.25784375
transcript.pyannote[1892].end 9728.67096875
transcript.pyannote[1893].speaker SPEAKER_05
transcript.pyannote[1893].start 9728.87346875
transcript.pyannote[1893].end 9732.33284375
transcript.pyannote[1894].speaker SPEAKER_05
transcript.pyannote[1894].start 9732.68721875
transcript.pyannote[1894].end 9735.47159375
transcript.pyannote[1895].speaker SPEAKER_05
transcript.pyannote[1895].start 9735.70784375
transcript.pyannote[1895].end 9759.85596875
transcript.pyannote[1896].speaker SPEAKER_05
transcript.pyannote[1896].start 9760.14284375
transcript.pyannote[1896].end 9785.33721875
transcript.pyannote[1897].speaker SPEAKER_05
transcript.pyannote[1897].start 9785.42159375
transcript.pyannote[1897].end 9793.25159375
transcript.pyannote[1898].speaker SPEAKER_05
transcript.pyannote[1898].start 9793.40346875
transcript.pyannote[1898].end 9800.00159375
transcript.pyannote[1899].speaker SPEAKER_05
transcript.pyannote[1899].start 9800.44034375
transcript.pyannote[1899].end 9802.93784375
transcript.pyannote[1900].speaker SPEAKER_05
transcript.pyannote[1900].start 9803.08971875
transcript.pyannote[1900].end 9808.05096875
transcript.pyannote[1901].speaker SPEAKER_05
transcript.pyannote[1901].start 9808.47284375
transcript.pyannote[1901].end 9813.55221875
transcript.pyannote[1902].speaker SPEAKER_18
transcript.pyannote[1902].start 9814.39596875
transcript.pyannote[1902].end 9816.57284375
transcript.pyannote[1903].speaker SPEAKER_18
transcript.pyannote[1903].start 9816.99471875
transcript.pyannote[1903].end 9824.45346875
transcript.pyannote[1904].speaker SPEAKER_18
transcript.pyannote[1904].start 9824.90909375
transcript.pyannote[1904].end 9826.93409375
transcript.pyannote[1905].speaker SPEAKER_18
transcript.pyannote[1905].start 9827.40659375
transcript.pyannote[1905].end 9832.36784375
transcript.pyannote[1906].speaker SPEAKER_18
transcript.pyannote[1906].start 9832.75596875
transcript.pyannote[1906].end 9839.37096875
transcript.pyannote[1907].speaker SPEAKER_18
transcript.pyannote[1907].start 9839.74221875
transcript.pyannote[1907].end 9843.30284375
transcript.pyannote[1908].speaker SPEAKER_18
transcript.pyannote[1908].start 9843.58971875
transcript.pyannote[1908].end 9845.98596875
transcript.pyannote[1909].speaker SPEAKER_18
transcript.pyannote[1909].start 9846.42471875
transcript.pyannote[1909].end 9850.12034375
transcript.pyannote[1910].speaker SPEAKER_18
transcript.pyannote[1910].start 9850.55909375
transcript.pyannote[1910].end 9855.99284375
transcript.pyannote[1911].speaker SPEAKER_18
transcript.pyannote[1911].start 9856.16159375
transcript.pyannote[1911].end 9859.03034375
transcript.pyannote[1912].speaker SPEAKER_18
transcript.pyannote[1912].start 9859.43534375
transcript.pyannote[1912].end 9864.53159375
transcript.pyannote[1913].speaker SPEAKER_18
transcript.pyannote[1913].start 9864.93659375
transcript.pyannote[1913].end 9872.81721875
transcript.pyannote[1914].speaker SPEAKER_18
transcript.pyannote[1914].start 9872.96909375
transcript.pyannote[1914].end 9879.78659375
transcript.pyannote[1915].speaker SPEAKER_18
transcript.pyannote[1915].start 9879.82034375
transcript.pyannote[1915].end 9887.70096875
transcript.pyannote[1916].speaker SPEAKER_18
transcript.pyannote[1916].start 9887.85284375
transcript.pyannote[1916].end 9889.52346875
transcript.pyannote[1917].speaker SPEAKER_18
transcript.pyannote[1917].start 9890.02971875
transcript.pyannote[1917].end 9892.02096875
transcript.pyannote[1918].speaker SPEAKER_18
transcript.pyannote[1918].start 9892.30784375
transcript.pyannote[1918].end 9897.43784375
transcript.pyannote[1919].speaker SPEAKER_18
transcript.pyannote[1919].start 9897.47159375
transcript.pyannote[1919].end 9904.15409375
transcript.pyannote[1920].speaker SPEAKER_18
transcript.pyannote[1920].start 9904.44096875
transcript.pyannote[1920].end 9909.43596875
transcript.pyannote[1921].speaker SPEAKER_18
transcript.pyannote[1921].start 9909.84096875
transcript.pyannote[1921].end 9915.29159375
transcript.pyannote[1922].speaker SPEAKER_10
transcript.pyannote[1922].start 9915.46034375
transcript.pyannote[1922].end 9915.52784375
transcript.pyannote[1923].speaker SPEAKER_18
transcript.pyannote[1923].start 9915.89909375
transcript.pyannote[1923].end 9918.04221875
transcript.pyannote[1924].speaker SPEAKER_18
transcript.pyannote[1924].start 9918.24471875
transcript.pyannote[1924].end 9920.30346875
transcript.pyannote[1925].speaker SPEAKER_18
transcript.pyannote[1925].start 9920.47221875
transcript.pyannote[1925].end 9922.00784375
transcript.pyannote[1926].speaker SPEAKER_18
transcript.pyannote[1926].start 9922.36221875
transcript.pyannote[1926].end 9928.01534375
transcript.pyannote[1927].speaker SPEAKER_05
transcript.pyannote[1927].start 9928.62284375
transcript.pyannote[1927].end 9949.71659375
transcript.pyannote[1928].speaker SPEAKER_05
transcript.pyannote[1928].start 9950.20596875
transcript.pyannote[1928].end 9957.88409375
transcript.pyannote[1929].speaker SPEAKER_05
transcript.pyannote[1929].start 9958.10346875
transcript.pyannote[1929].end 9964.44846875
transcript.pyannote[1930].speaker SPEAKER_05
transcript.pyannote[1930].start 9964.49909375
transcript.pyannote[1930].end 9975.28221875
transcript.pyannote[1931].speaker SPEAKER_05
transcript.pyannote[1931].start 9975.70409375
transcript.pyannote[1931].end 9980.63159375
transcript.pyannote[1932].speaker SPEAKER_05
transcript.pyannote[1932].start 9980.91846875
transcript.pyannote[1932].end 9983.90534375
transcript.pyannote[1933].speaker SPEAKER_05
transcript.pyannote[1933].start 9984.17534375
transcript.pyannote[1933].end 9989.65971875
transcript.pyannote[1934].speaker SPEAKER_05
transcript.pyannote[1934].start 9989.81159375
transcript.pyannote[1934].end 10002.50159375
transcript.pyannote[1935].speaker SPEAKER_05
transcript.pyannote[1935].start 10002.80534375
transcript.pyannote[1935].end 10015.29284375
transcript.pyannote[1936].speaker SPEAKER_05
transcript.pyannote[1936].start 10015.52909375
transcript.pyannote[1936].end 10030.05846875
transcript.pyannote[1937].speaker SPEAKER_05
transcript.pyannote[1937].start 10030.27784375
transcript.pyannote[1937].end 10037.51721875
transcript.pyannote[1938].speaker SPEAKER_05
transcript.pyannote[1938].start 10038.52971875
transcript.pyannote[1938].end 10054.15596875
transcript.pyannote[1939].speaker SPEAKER_05
transcript.pyannote[1939].start 10054.29096875
transcript.pyannote[1939].end 10071.26721875
transcript.pyannote[1940].speaker SPEAKER_05
transcript.pyannote[1940].start 10071.87471875
transcript.pyannote[1940].end 10092.85034375
transcript.pyannote[1941].speaker SPEAKER_05
transcript.pyannote[1941].start 10092.96846875
transcript.pyannote[1941].end 10097.44034375
transcript.pyannote[1942].speaker SPEAKER_18
transcript.pyannote[1942].start 10097.99721875
transcript.pyannote[1942].end 10099.56659375
transcript.pyannote[1943].speaker SPEAKER_18
transcript.pyannote[1943].start 10100.00534375
transcript.pyannote[1943].end 10100.47784375
transcript.pyannote[1944].speaker SPEAKER_18
transcript.pyannote[1944].start 10101.03471875
transcript.pyannote[1944].end 10108.12221875
transcript.pyannote[1945].speaker SPEAKER_18
transcript.pyannote[1945].start 10108.42596875
transcript.pyannote[1945].end 10110.46784375
transcript.pyannote[1946].speaker SPEAKER_18
transcript.pyannote[1946].start 10110.73784375
transcript.pyannote[1946].end 10112.74596875
transcript.pyannote[1947].speaker SPEAKER_18
transcript.pyannote[1947].start 10113.15096875
transcript.pyannote[1947].end 10115.36159375
transcript.pyannote[1948].speaker SPEAKER_00
transcript.pyannote[1948].start 10114.56846875
transcript.pyannote[1948].end 10114.65284375
transcript.pyannote[1949].speaker SPEAKER_18
transcript.pyannote[1949].start 10115.54721875
transcript.pyannote[1949].end 10116.12096875
transcript.pyannote[1950].speaker SPEAKER_18
transcript.pyannote[1950].start 10116.34034375
transcript.pyannote[1950].end 10122.14534375
transcript.pyannote[1951].speaker SPEAKER_18
transcript.pyannote[1951].start 10122.43221875
transcript.pyannote[1951].end 10134.34596875
transcript.pyannote[1952].speaker SPEAKER_18
transcript.pyannote[1952].start 10134.44721875
transcript.pyannote[1952].end 10141.85534375
transcript.pyannote[1953].speaker SPEAKER_18
transcript.pyannote[1953].start 10142.14221875
transcript.pyannote[1953].end 10148.79096875
transcript.pyannote[1954].speaker SPEAKER_18
transcript.pyannote[1954].start 10149.09471875
transcript.pyannote[1954].end 10151.57534375
transcript.pyannote[1955].speaker SPEAKER_18
transcript.pyannote[1955].start 10151.99721875
transcript.pyannote[1955].end 10153.61721875
transcript.pyannote[1956].speaker SPEAKER_18
transcript.pyannote[1956].start 10153.90409375
transcript.pyannote[1956].end 10156.89096875
transcript.pyannote[1957].speaker SPEAKER_18
transcript.pyannote[1957].start 10157.22846875
transcript.pyannote[1957].end 10159.21971875
transcript.pyannote[1958].speaker SPEAKER_18
transcript.pyannote[1958].start 10160.14784375
transcript.pyannote[1958].end 10164.63659375
transcript.pyannote[1959].speaker SPEAKER_18
transcript.pyannote[1959].start 10165.17659375
transcript.pyannote[1959].end 10167.06659375
transcript.pyannote[1960].speaker SPEAKER_18
transcript.pyannote[1960].start 10167.77534375
transcript.pyannote[1960].end 10168.77096875
transcript.pyannote[1961].speaker SPEAKER_18
transcript.pyannote[1961].start 10169.39534375
transcript.pyannote[1961].end 10173.98534375
transcript.pyannote[1962].speaker SPEAKER_18
transcript.pyannote[1962].start 10174.54221875
transcript.pyannote[1962].end 10180.68471875
transcript.pyannote[1963].speaker SPEAKER_18
transcript.pyannote[1963].start 10180.95471875
transcript.pyannote[1963].end 10185.44346875
transcript.pyannote[1964].speaker SPEAKER_18
transcript.pyannote[1964].start 10185.91596875
transcript.pyannote[1964].end 10191.82221875
transcript.pyannote[1965].speaker SPEAKER_00
transcript.pyannote[1965].start 10186.89471875
transcript.pyannote[1965].end 10187.09721875
transcript.pyannote[1966].speaker SPEAKER_18
transcript.pyannote[1966].start 10192.36221875
transcript.pyannote[1966].end 10195.56846875
transcript.pyannote[1967].speaker SPEAKER_18
transcript.pyannote[1967].start 10195.83846875
transcript.pyannote[1967].end 10196.36159375
transcript.pyannote[1968].speaker SPEAKER_18
transcript.pyannote[1968].start 10196.86784375
transcript.pyannote[1968].end 10197.76221875
transcript.pyannote[1969].speaker SPEAKER_18
transcript.pyannote[1969].start 10198.20096875
transcript.pyannote[1969].end 10201.86284375
transcript.pyannote[1970].speaker SPEAKER_18
transcript.pyannote[1970].start 10202.14971875
transcript.pyannote[1970].end 10206.08159375
transcript.pyannote[1971].speaker SPEAKER_18
transcript.pyannote[1971].start 10206.19971875
transcript.pyannote[1971].end 10213.67534375
transcript.pyannote[1972].speaker SPEAKER_04
transcript.pyannote[1972].start 10206.23346875
transcript.pyannote[1972].end 10206.63846875
transcript.pyannote[1973].speaker SPEAKER_18
transcript.pyannote[1973].start 10214.06346875
transcript.pyannote[1973].end 10218.06284375
transcript.pyannote[1974].speaker SPEAKER_18
transcript.pyannote[1974].start 10218.72096875
transcript.pyannote[1974].end 10221.06659375
transcript.pyannote[1975].speaker SPEAKER_18
transcript.pyannote[1975].start 10221.84284375
transcript.pyannote[1975].end 10228.40721875
transcript.pyannote[1976].speaker SPEAKER_18
transcript.pyannote[1976].start 10228.96409375
transcript.pyannote[1976].end 10234.09409375
transcript.pyannote[1977].speaker SPEAKER_18
transcript.pyannote[1977].start 10234.51596875
transcript.pyannote[1977].end 10236.01784375
transcript.pyannote[1978].speaker SPEAKER_18
transcript.pyannote[1978].start 10236.33846875
transcript.pyannote[1978].end 10240.69221875
transcript.pyannote[1979].speaker SPEAKER_18
transcript.pyannote[1979].start 10241.41784375
transcript.pyannote[1979].end 10246.49721875
transcript.pyannote[1980].speaker SPEAKER_18
transcript.pyannote[1980].start 10247.13846875
transcript.pyannote[1980].end 10251.17159375
transcript.pyannote[1981].speaker SPEAKER_18
transcript.pyannote[1981].start 10251.54284375
transcript.pyannote[1981].end 10262.98409375
transcript.pyannote[1982].speaker SPEAKER_05
transcript.pyannote[1982].start 10263.05159375
transcript.pyannote[1982].end 10282.60971875
transcript.pyannote[1983].speaker SPEAKER_18
transcript.pyannote[1983].start 10268.46846875
transcript.pyannote[1983].end 10268.83971875
transcript.pyannote[1984].speaker SPEAKER_18
transcript.pyannote[1984].start 10269.32909375
transcript.pyannote[1984].end 10269.36284375
transcript.pyannote[1985].speaker SPEAKER_00
transcript.pyannote[1985].start 10274.13846875
transcript.pyannote[1985].end 10274.56034375
transcript.pyannote[1986].speaker SPEAKER_05
transcript.pyannote[1986].start 10283.04846875
transcript.pyannote[1986].end 10292.90346875
transcript.pyannote[1987].speaker SPEAKER_05
transcript.pyannote[1987].start 10293.22409375
transcript.pyannote[1987].end 10297.35846875
transcript.pyannote[1988].speaker SPEAKER_05
transcript.pyannote[1988].start 10297.98284375
transcript.pyannote[1988].end 10307.66909375
transcript.pyannote[1989].speaker SPEAKER_05
transcript.pyannote[1989].start 10307.77034375
transcript.pyannote[1989].end 10309.20471875
transcript.pyannote[1990].speaker SPEAKER_05
transcript.pyannote[1990].start 10309.30596875
transcript.pyannote[1990].end 10317.91221875
transcript.pyannote[1991].speaker SPEAKER_05
transcript.pyannote[1991].start 10318.14846875
transcript.pyannote[1991].end 10329.91034375
transcript.pyannote[1992].speaker SPEAKER_18
transcript.pyannote[1992].start 10330.34909375
transcript.pyannote[1992].end 10337.21721875
transcript.pyannote[1993].speaker SPEAKER_18
transcript.pyannote[1993].start 10337.38596875
transcript.pyannote[1993].end 10345.06409375
transcript.pyannote[1994].speaker SPEAKER_18
transcript.pyannote[1994].start 10345.24971875
transcript.pyannote[1994].end 10355.77971875
transcript.pyannote[1995].speaker SPEAKER_18
transcript.pyannote[1995].start 10356.23534375
transcript.pyannote[1995].end 10393.15784375
transcript.pyannote[1996].speaker SPEAKER_18
transcript.pyannote[1996].start 10393.86659375
transcript.pyannote[1996].end 10397.66346875
transcript.pyannote[1997].speaker SPEAKER_18
transcript.pyannote[1997].start 10397.89971875
transcript.pyannote[1997].end 10411.12971875
transcript.pyannote[1998].speaker SPEAKER_05
transcript.pyannote[1998].start 10410.55596875
transcript.pyannote[1998].end 10419.01034375
transcript.pyannote[1999].speaker SPEAKER_18
transcript.pyannote[1999].start 10412.10846875
transcript.pyannote[1999].end 10412.69909375
transcript.pyannote[2000].speaker SPEAKER_18
transcript.pyannote[2000].start 10417.12034375
transcript.pyannote[2000].end 10424.47784375
transcript.pyannote[2001].speaker SPEAKER_05
transcript.pyannote[2001].start 10419.39846875
transcript.pyannote[2001].end 10419.98909375
transcript.pyannote[2002].speaker SPEAKER_05
transcript.pyannote[2002].start 10424.47784375
transcript.pyannote[2002].end 10437.64034375
transcript.pyannote[2003].speaker SPEAKER_18
transcript.pyannote[2003].start 10424.49471875
transcript.pyannote[2003].end 10424.56221875
transcript.pyannote[2004].speaker SPEAKER_18
transcript.pyannote[2004].start 10433.53971875
transcript.pyannote[2004].end 10434.16409375
transcript.pyannote[2005].speaker SPEAKER_18
transcript.pyannote[2005].start 10437.06659375
transcript.pyannote[2005].end 10453.94159375
transcript.pyannote[2006].speaker SPEAKER_05
transcript.pyannote[2006].start 10437.91034375
transcript.pyannote[2006].end 10438.87221875
transcript.pyannote[2007].speaker SPEAKER_05
transcript.pyannote[2007].start 10439.93534375
transcript.pyannote[2007].end 10440.30659375
transcript.pyannote[2008].speaker SPEAKER_00
transcript.pyannote[2008].start 10448.79471875
transcript.pyannote[2008].end 10449.19971875
transcript.pyannote[2009].speaker SPEAKER_18
transcript.pyannote[2009].start 10454.51534375
transcript.pyannote[2009].end 10454.95409375
transcript.pyannote[2010].speaker SPEAKER_18
transcript.pyannote[2010].start 10455.29159375
transcript.pyannote[2010].end 10456.25346875
transcript.pyannote[2011].speaker SPEAKER_18
transcript.pyannote[2011].start 10456.32096875
transcript.pyannote[2011].end 10457.77221875
transcript.pyannote[2012].speaker SPEAKER_18
transcript.pyannote[2012].start 10458.05909375
transcript.pyannote[2012].end 10459.56096875
transcript.pyannote[2013].speaker SPEAKER_18
transcript.pyannote[2013].start 10459.98284375
transcript.pyannote[2013].end 10462.22721875
transcript.pyannote[2014].speaker SPEAKER_18
transcript.pyannote[2014].start 10462.73346875
transcript.pyannote[2014].end 10464.99471875
transcript.pyannote[2015].speaker SPEAKER_18
transcript.pyannote[2015].start 10465.31534375
transcript.pyannote[2015].end 10466.12534375
transcript.pyannote[2016].speaker SPEAKER_18
transcript.pyannote[2016].start 10466.42909375
transcript.pyannote[2016].end 10466.86784375
transcript.pyannote[2017].speaker SPEAKER_18
transcript.pyannote[2017].start 10467.13784375
transcript.pyannote[2017].end 10471.44096875
transcript.pyannote[2018].speaker SPEAKER_18
transcript.pyannote[2018].start 10472.11596875
transcript.pyannote[2018].end 10474.83284375
transcript.pyannote[2019].speaker SPEAKER_10
transcript.pyannote[2019].start 10474.73159375
transcript.pyannote[2019].end 10474.76534375
transcript.pyannote[2020].speaker SPEAKER_10
transcript.pyannote[2020].start 10474.83284375
transcript.pyannote[2020].end 10475.20409375
transcript.pyannote[2021].speaker SPEAKER_18
transcript.pyannote[2021].start 10475.20409375
transcript.pyannote[2021].end 10476.68909375
transcript.pyannote[2022].speaker SPEAKER_18
transcript.pyannote[2022].start 10476.92534375
transcript.pyannote[2022].end 10484.75534375
transcript.pyannote[2023].speaker SPEAKER_05
transcript.pyannote[2023].start 10484.29971875
transcript.pyannote[2023].end 10485.68346875
transcript.pyannote[2024].speaker SPEAKER_18
transcript.pyannote[2024].start 10485.17721875
transcript.pyannote[2024].end 10488.02909375
transcript.pyannote[2025].speaker SPEAKER_05
transcript.pyannote[2025].start 10486.18971875
transcript.pyannote[2025].end 10486.72971875
transcript.pyannote[2026].speaker SPEAKER_05
transcript.pyannote[2026].start 10488.34971875
transcript.pyannote[2026].end 10502.42346875
transcript.pyannote[2027].speaker SPEAKER_05
transcript.pyannote[2027].start 10503.03096875
transcript.pyannote[2027].end 10507.62096875
transcript.pyannote[2028].speaker SPEAKER_05
transcript.pyannote[2028].start 10508.16096875
transcript.pyannote[2028].end 10510.86096875
transcript.pyannote[2029].speaker SPEAKER_05
transcript.pyannote[2029].start 10511.23221875
transcript.pyannote[2029].end 10534.03034375
transcript.pyannote[2030].speaker SPEAKER_05
transcript.pyannote[2030].start 10534.35096875
transcript.pyannote[2030].end 10541.53971875
transcript.pyannote[2031].speaker SPEAKER_05
transcript.pyannote[2031].start 10541.96159375
transcript.pyannote[2031].end 10549.08284375
transcript.pyannote[2032].speaker SPEAKER_05
transcript.pyannote[2032].start 10549.31909375
transcript.pyannote[2032].end 10551.81659375
transcript.pyannote[2033].speaker SPEAKER_05
transcript.pyannote[2033].start 10552.01909375
transcript.pyannote[2033].end 10554.88784375
transcript.pyannote[2034].speaker SPEAKER_05
transcript.pyannote[2034].start 10555.20846875
transcript.pyannote[2034].end 10558.90409375
transcript.pyannote[2035].speaker SPEAKER_05
transcript.pyannote[2035].start 10559.14034375
transcript.pyannote[2035].end 10576.48784375
transcript.pyannote[2036].speaker SPEAKER_05
transcript.pyannote[2036].start 10576.57221875
transcript.pyannote[2036].end 10581.51659375
transcript.pyannote[2037].speaker SPEAKER_05
transcript.pyannote[2037].start 10581.63471875
transcript.pyannote[2037].end 10588.01346875
transcript.pyannote[2038].speaker SPEAKER_05
transcript.pyannote[2038].start 10589.09346875
transcript.pyannote[2038].end 10598.69534375
transcript.pyannote[2039].speaker SPEAKER_05
transcript.pyannote[2039].start 10598.79659375
transcript.pyannote[2039].end 10602.98159375
transcript.pyannote[2040].speaker SPEAKER_05
transcript.pyannote[2040].start 10603.50471875
transcript.pyannote[2040].end 10605.02346875
transcript.pyannote[2041].speaker SPEAKER_05
transcript.pyannote[2041].start 10605.52971875
transcript.pyannote[2041].end 10606.49159375
transcript.pyannote[2042].speaker SPEAKER_05
transcript.pyannote[2042].start 10606.50846875
transcript.pyannote[2042].end 10611.14909375
transcript.pyannote[2043].speaker SPEAKER_05
transcript.pyannote[2043].start 10611.60471875
transcript.pyannote[2043].end 10620.00846875
transcript.pyannote[2044].speaker SPEAKER_05
transcript.pyannote[2044].start 10620.17721875
transcript.pyannote[2044].end 10630.20096875
transcript.pyannote[2045].speaker SPEAKER_05
transcript.pyannote[2045].start 10630.30221875
transcript.pyannote[2045].end 10635.28034375
transcript.pyannote[2046].speaker SPEAKER_05
transcript.pyannote[2046].start 10635.38159375
transcript.pyannote[2046].end 10654.01159375
transcript.pyannote[2047].speaker SPEAKER_18
transcript.pyannote[2047].start 10654.31534375
transcript.pyannote[2047].end 10667.88284375
transcript.pyannote[2048].speaker SPEAKER_18
transcript.pyannote[2048].start 10668.28784375
transcript.pyannote[2048].end 10681.24784375
transcript.pyannote[2049].speaker SPEAKER_18
transcript.pyannote[2049].start 10681.66971875
transcript.pyannote[2049].end 10690.69784375
transcript.pyannote[2050].speaker SPEAKER_18
transcript.pyannote[2050].start 10690.95096875
transcript.pyannote[2050].end 10699.35471875
transcript.pyannote[2051].speaker SPEAKER_18
transcript.pyannote[2051].start 10699.62471875
transcript.pyannote[2051].end 10709.58096875
transcript.pyannote[2052].speaker SPEAKER_18
transcript.pyannote[2052].start 10710.08721875
transcript.pyannote[2052].end 10733.49284375
transcript.pyannote[2053].speaker SPEAKER_05
transcript.pyannote[2053].start 10733.49284375
transcript.pyannote[2053].end 10742.23409375
transcript.pyannote[2054].speaker SPEAKER_18
transcript.pyannote[2054].start 10733.50971875
transcript.pyannote[2054].end 10734.06659375
transcript.pyannote[2055].speaker SPEAKER_18
transcript.pyannote[2055].start 10738.08284375
transcript.pyannote[2055].end 10738.62284375
transcript.pyannote[2056].speaker SPEAKER_05
transcript.pyannote[2056].start 10742.58846875
transcript.pyannote[2056].end 10778.11034375
transcript.pyannote[2057].speaker SPEAKER_00
transcript.pyannote[2057].start 10772.38971875
transcript.pyannote[2057].end 10772.77784375
transcript.pyannote[2058].speaker SPEAKER_05
transcript.pyannote[2058].start 10778.48159375
transcript.pyannote[2058].end 10779.69659375
transcript.pyannote[2059].speaker SPEAKER_05
transcript.pyannote[2059].start 10780.11846875
transcript.pyannote[2059].end 10786.29471875
transcript.pyannote[2060].speaker SPEAKER_05
transcript.pyannote[2060].start 10786.36221875
transcript.pyannote[2060].end 10787.27346875
transcript.pyannote[2061].speaker SPEAKER_18
transcript.pyannote[2061].start 10786.49721875
transcript.pyannote[2061].end 10790.46284375
transcript.pyannote[2062].speaker SPEAKER_18
transcript.pyannote[2062].start 10790.59784375
transcript.pyannote[2062].end 10824.43221875
transcript.pyannote[2063].speaker SPEAKER_00
transcript.pyannote[2063].start 10799.27159375
transcript.pyannote[2063].end 10799.71034375
transcript.pyannote[2064].speaker SPEAKER_00
transcript.pyannote[2064].start 10817.22659375
transcript.pyannote[2064].end 10817.69909375
transcript.pyannote[2065].speaker SPEAKER_18
transcript.pyannote[2065].start 10824.83721875
transcript.pyannote[2065].end 10831.70534375
transcript.pyannote[2066].speaker SPEAKER_00
transcript.pyannote[2066].start 10829.69721875
transcript.pyannote[2066].end 10830.10221875
transcript.pyannote[2067].speaker SPEAKER_18
transcript.pyannote[2067].start 10832.04284375
transcript.pyannote[2067].end 10859.63346875
transcript.pyannote[2068].speaker SPEAKER_05
transcript.pyannote[2068].start 10854.08159375
transcript.pyannote[2068].end 10854.97596875
transcript.pyannote[2069].speaker SPEAKER_05
transcript.pyannote[2069].start 10858.92471875
transcript.pyannote[2069].end 10864.62846875
transcript.pyannote[2070].speaker SPEAKER_05
transcript.pyannote[2070].start 10864.69596875
transcript.pyannote[2070].end 10866.92346875
transcript.pyannote[2071].speaker SPEAKER_05
transcript.pyannote[2071].start 10867.05846875
transcript.pyannote[2071].end 10871.80034375
transcript.pyannote[2072].speaker SPEAKER_01
transcript.pyannote[2072].start 10875.24284375
transcript.pyannote[2072].end 10877.62221875
transcript.pyannote[2073].speaker SPEAKER_01
transcript.pyannote[2073].start 10879.68096875
transcript.pyannote[2073].end 10881.95909375
transcript.pyannote[2074].speaker SPEAKER_04
transcript.pyannote[2074].start 10889.92409375
transcript.pyannote[2074].end 10893.45096875
transcript.pyannote[2075].speaker SPEAKER_01
transcript.pyannote[2075].start 10893.70409375
transcript.pyannote[2075].end 10895.50971875
transcript.pyannote[2076].speaker SPEAKER_04
transcript.pyannote[2076].start 10902.59721875
transcript.pyannote[2076].end 10907.23784375
transcript.pyannote[2077].speaker SPEAKER_04
transcript.pyannote[2077].start 10907.38971875
transcript.pyannote[2077].end 10936.66784375
transcript.pyannote[2078].speaker SPEAKER_04
transcript.pyannote[2078].start 10936.78596875
transcript.pyannote[2078].end 10937.47784375
transcript.pyannote[2079].speaker SPEAKER_04
transcript.pyannote[2079].start 10937.79846875
transcript.pyannote[2079].end 10940.48159375
transcript.pyannote[2080].speaker SPEAKER_04
transcript.pyannote[2080].start 10940.81909375
transcript.pyannote[2080].end 10951.70346875
transcript.pyannote[2081].speaker SPEAKER_04
transcript.pyannote[2081].start 10952.19284375
transcript.pyannote[2081].end 10954.97721875
transcript.pyannote[2082].speaker SPEAKER_04
transcript.pyannote[2082].start 10955.95596875
transcript.pyannote[2082].end 10956.68159375
transcript.pyannote[2083].speaker SPEAKER_04
transcript.pyannote[2083].start 10957.37346875
transcript.pyannote[2083].end 10963.17846875
transcript.pyannote[2084].speaker SPEAKER_04
transcript.pyannote[2084].start 10963.60034375
transcript.pyannote[2084].end 10966.84034375
transcript.pyannote[2085].speaker SPEAKER_04
transcript.pyannote[2085].start 10967.16096875
transcript.pyannote[2085].end 10977.31971875
transcript.pyannote[2086].speaker SPEAKER_04
transcript.pyannote[2086].start 10977.62346875
transcript.pyannote[2086].end 10988.37284375
transcript.pyannote[2087].speaker SPEAKER_04
transcript.pyannote[2087].start 10988.65971875
transcript.pyannote[2087].end 11000.62409375
transcript.pyannote[2088].speaker SPEAKER_18
transcript.pyannote[2088].start 11001.07971875
transcript.pyannote[2088].end 11001.67034375
transcript.pyannote[2089].speaker SPEAKER_18
transcript.pyannote[2089].start 11002.14284375
transcript.pyannote[2089].end 11009.50034375
transcript.pyannote[2090].speaker SPEAKER_04
transcript.pyannote[2090].start 11007.47534375
transcript.pyannote[2090].end 11007.76221875
transcript.pyannote[2091].speaker SPEAKER_18
transcript.pyannote[2091].start 11009.61846875
transcript.pyannote[2091].end 11020.60409375
transcript.pyannote[2092].speaker SPEAKER_03
transcript.pyannote[2092].start 11016.04784375
transcript.pyannote[2092].end 11017.11096875
transcript.pyannote[2093].speaker SPEAKER_03
transcript.pyannote[2093].start 11020.08096875
transcript.pyannote[2093].end 11020.38471875
transcript.pyannote[2094].speaker SPEAKER_04
transcript.pyannote[2094].start 11020.38471875
transcript.pyannote[2094].end 11020.40159375
transcript.pyannote[2095].speaker SPEAKER_03
transcript.pyannote[2095].start 11020.40159375
transcript.pyannote[2095].end 11020.50284375
transcript.pyannote[2096].speaker SPEAKER_03
transcript.pyannote[2096].start 11020.60409375
transcript.pyannote[2096].end 11020.62096875
transcript.pyannote[2097].speaker SPEAKER_04
transcript.pyannote[2097].start 11020.62096875
transcript.pyannote[2097].end 11020.77284375
transcript.pyannote[2098].speaker SPEAKER_18
transcript.pyannote[2098].start 11021.09346875
transcript.pyannote[2098].end 11024.53596875
transcript.pyannote[2099].speaker SPEAKER_04
transcript.pyannote[2099].start 11021.51534375
transcript.pyannote[2099].end 11022.29159375
transcript.pyannote[2100].speaker SPEAKER_04
transcript.pyannote[2100].start 11023.50659375
transcript.pyannote[2100].end 11028.16409375
transcript.pyannote[2101].speaker SPEAKER_18
transcript.pyannote[2101].start 11024.90721875
transcript.pyannote[2101].end 11025.22784375
transcript.pyannote[2102].speaker SPEAKER_04
transcript.pyannote[2102].start 11028.51846875
transcript.pyannote[2102].end 11038.13721875
transcript.pyannote[2103].speaker SPEAKER_18
transcript.pyannote[2103].start 11029.15971875
transcript.pyannote[2103].end 11029.61534375
transcript.pyannote[2104].speaker SPEAKER_10
transcript.pyannote[2104].start 11029.61534375
transcript.pyannote[2104].end 11029.63221875
transcript.pyannote[2105].speaker SPEAKER_18
transcript.pyannote[2105].start 11038.50846875
transcript.pyannote[2105].end 11050.03409375
transcript.pyannote[2106].speaker SPEAKER_10
transcript.pyannote[2106].start 11048.24534375
transcript.pyannote[2106].end 11048.59971875
transcript.pyannote[2107].speaker SPEAKER_18
transcript.pyannote[2107].start 11050.30409375
transcript.pyannote[2107].end 11050.40534375
transcript.pyannote[2108].speaker SPEAKER_10
transcript.pyannote[2108].start 11050.40534375
transcript.pyannote[2108].end 11050.42221875
transcript.pyannote[2109].speaker SPEAKER_18
transcript.pyannote[2109].start 11050.59096875
transcript.pyannote[2109].end 11057.03721875
transcript.pyannote[2110].speaker SPEAKER_10
transcript.pyannote[2110].start 11051.63721875
transcript.pyannote[2110].end 11052.97034375
transcript.pyannote[2111].speaker SPEAKER_04
transcript.pyannote[2111].start 11052.97034375
transcript.pyannote[2111].end 11054.86034375
transcript.pyannote[2112].speaker SPEAKER_04
transcript.pyannote[2112].start 11057.03721875
transcript.pyannote[2112].end 11060.00721875
transcript.pyannote[2113].speaker SPEAKER_18
transcript.pyannote[2113].start 11057.69534375
transcript.pyannote[2113].end 11057.98221875
transcript.pyannote[2114].speaker SPEAKER_04
transcript.pyannote[2114].start 11060.63159375
transcript.pyannote[2114].end 11090.29784375
transcript.pyannote[2115].speaker SPEAKER_18
transcript.pyannote[2115].start 11060.78346875
transcript.pyannote[2115].end 11061.10409375
transcript.pyannote[2116].speaker SPEAKER_00
transcript.pyannote[2116].start 11061.10409375
transcript.pyannote[2116].end 11061.32346875
transcript.pyannote[2117].speaker SPEAKER_00
transcript.pyannote[2117].start 11066.80784375
transcript.pyannote[2117].end 11067.24659375
transcript.pyannote[2118].speaker SPEAKER_00
transcript.pyannote[2118].start 11076.62909375
transcript.pyannote[2118].end 11076.96659375
transcript.pyannote[2119].speaker SPEAKER_04
transcript.pyannote[2119].start 11090.88846875
transcript.pyannote[2119].end 11118.02346875
transcript.pyannote[2120].speaker SPEAKER_04
transcript.pyannote[2120].start 11118.29346875
transcript.pyannote[2120].end 11132.40096875
transcript.pyannote[2121].speaker SPEAKER_18
transcript.pyannote[2121].start 11132.60346875
transcript.pyannote[2121].end 11136.36659375
transcript.pyannote[2122].speaker SPEAKER_18
transcript.pyannote[2122].start 11136.77159375
transcript.pyannote[2122].end 11141.42909375
transcript.pyannote[2123].speaker SPEAKER_04
transcript.pyannote[2123].start 11141.42909375
transcript.pyannote[2123].end 11143.60596875
transcript.pyannote[2124].speaker SPEAKER_18
transcript.pyannote[2124].start 11141.88471875
transcript.pyannote[2124].end 11143.16721875
transcript.pyannote[2125].speaker SPEAKER_04
transcript.pyannote[2125].start 11143.89284375
transcript.pyannote[2125].end 11150.30534375
transcript.pyannote[2126].speaker SPEAKER_18
transcript.pyannote[2126].start 11150.17034375
transcript.pyannote[2126].end 11151.09846875
transcript.pyannote[2127].speaker SPEAKER_04
transcript.pyannote[2127].start 11150.35596875
transcript.pyannote[2127].end 11152.93784375
transcript.pyannote[2128].speaker SPEAKER_18
transcript.pyannote[2128].start 11152.41471875
transcript.pyannote[2128].end 11155.36784375
transcript.pyannote[2129].speaker SPEAKER_04
transcript.pyannote[2129].start 11155.36784375
transcript.pyannote[2129].end 11155.72221875
transcript.pyannote[2130].speaker SPEAKER_18
transcript.pyannote[2130].start 11155.72221875
transcript.pyannote[2130].end 11156.02596875
transcript.pyannote[2131].speaker SPEAKER_04
transcript.pyannote[2131].start 11156.02596875
transcript.pyannote[2131].end 11160.27846875
transcript.pyannote[2132].speaker SPEAKER_18
transcript.pyannote[2132].start 11157.00471875
transcript.pyannote[2132].end 11157.47721875
transcript.pyannote[2133].speaker SPEAKER_04
transcript.pyannote[2133].start 11160.61596875
transcript.pyannote[2133].end 11164.85159375
transcript.pyannote[2134].speaker SPEAKER_04
transcript.pyannote[2134].start 11164.88534375
transcript.pyannote[2134].end 11173.33971875
transcript.pyannote[2135].speaker SPEAKER_18
transcript.pyannote[2135].start 11171.93909375
transcript.pyannote[2135].end 11176.37721875
transcript.pyannote[2136].speaker SPEAKER_04
transcript.pyannote[2136].start 11176.37721875
transcript.pyannote[2136].end 11176.54596875
transcript.pyannote[2137].speaker SPEAKER_18
transcript.pyannote[2137].start 11176.54596875
transcript.pyannote[2137].end 11177.03534375
transcript.pyannote[2138].speaker SPEAKER_04
transcript.pyannote[2138].start 11177.03534375
transcript.pyannote[2138].end 11188.52721875
transcript.pyannote[2139].speaker SPEAKER_04
transcript.pyannote[2139].start 11188.91534375
transcript.pyannote[2139].end 11189.53971875
transcript.pyannote[2140].speaker SPEAKER_04
transcript.pyannote[2140].start 11189.62409375
transcript.pyannote[2140].end 11192.56034375
transcript.pyannote[2141].speaker SPEAKER_04
transcript.pyannote[2141].start 11192.91471875
transcript.pyannote[2141].end 11199.95159375
transcript.pyannote[2142].speaker SPEAKER_18
transcript.pyannote[2142].start 11193.45471875
transcript.pyannote[2142].end 11194.01159375
transcript.pyannote[2143].speaker SPEAKER_18
transcript.pyannote[2143].start 11198.75346875
transcript.pyannote[2143].end 11199.09096875
transcript.pyannote[2144].speaker SPEAKER_18
transcript.pyannote[2144].start 11200.49159375
transcript.pyannote[2144].end 11204.10284375
transcript.pyannote[2145].speaker SPEAKER_10
transcript.pyannote[2145].start 11204.10284375
transcript.pyannote[2145].end 11204.18721875
transcript.pyannote[2146].speaker SPEAKER_18
transcript.pyannote[2146].start 11204.18721875
transcript.pyannote[2146].end 11206.54971875
transcript.pyannote[2147].speaker SPEAKER_18
transcript.pyannote[2147].start 11206.88721875
transcript.pyannote[2147].end 11218.61534375
transcript.pyannote[2148].speaker SPEAKER_03
transcript.pyannote[2148].start 11214.56534375
transcript.pyannote[2148].end 11216.21909375
transcript.pyannote[2149].speaker SPEAKER_18
transcript.pyannote[2149].start 11218.90221875
transcript.pyannote[2149].end 11221.24784375
transcript.pyannote[2150].speaker SPEAKER_18
transcript.pyannote[2150].start 11222.15909375
transcript.pyannote[2150].end 11229.36471875
transcript.pyannote[2151].speaker SPEAKER_04
transcript.pyannote[2151].start 11229.36471875
transcript.pyannote[2151].end 11231.82846875
transcript.pyannote[2152].speaker SPEAKER_04
transcript.pyannote[2152].start 11231.92971875
transcript.pyannote[2152].end 11231.94659375
transcript.pyannote[2153].speaker SPEAKER_04
transcript.pyannote[2153].start 11231.96346875
transcript.pyannote[2153].end 11232.85784375
transcript.pyannote[2154].speaker SPEAKER_04
transcript.pyannote[2154].start 11233.07721875
transcript.pyannote[2154].end 11265.69659375
transcript.pyannote[2155].speaker SPEAKER_18
transcript.pyannote[2155].start 11233.58346875
transcript.pyannote[2155].end 11233.97159375
transcript.pyannote[2156].speaker SPEAKER_18
transcript.pyannote[2156].start 11236.80659375
transcript.pyannote[2156].end 11238.37596875
transcript.pyannote[2157].speaker SPEAKER_18
transcript.pyannote[2157].start 11240.24909375
transcript.pyannote[2157].end 11241.97034375
transcript.pyannote[2158].speaker SPEAKER_00
transcript.pyannote[2158].start 11242.62846875
transcript.pyannote[2158].end 11242.78034375
transcript.pyannote[2159].speaker SPEAKER_18
transcript.pyannote[2159].start 11242.78034375
transcript.pyannote[2159].end 11244.95721875
transcript.pyannote[2160].speaker SPEAKER_00
transcript.pyannote[2160].start 11246.05409375
transcript.pyannote[2160].end 11246.08784375
transcript.pyannote[2161].speaker SPEAKER_04
transcript.pyannote[2161].start 11265.93284375
transcript.pyannote[2161].end 11270.45534375
transcript.pyannote[2162].speaker SPEAKER_18
transcript.pyannote[2162].start 11271.21471875
transcript.pyannote[2162].end 11271.23159375
transcript.pyannote[2163].speaker SPEAKER_04
transcript.pyannote[2163].start 11271.23159375
transcript.pyannote[2163].end 11284.02284375
transcript.pyannote[2164].speaker SPEAKER_18
transcript.pyannote[2164].start 11284.02284375
transcript.pyannote[2164].end 11289.37221875
transcript.pyannote[2165].speaker SPEAKER_18
transcript.pyannote[2165].start 11289.49034375
transcript.pyannote[2165].end 11292.22409375
transcript.pyannote[2166].speaker SPEAKER_04
transcript.pyannote[2166].start 11292.19034375
transcript.pyannote[2166].end 11293.47284375
transcript.pyannote[2167].speaker SPEAKER_18
transcript.pyannote[2167].start 11293.47284375
transcript.pyannote[2167].end 11295.31221875
transcript.pyannote[2168].speaker SPEAKER_04
transcript.pyannote[2168].start 11293.77659375
transcript.pyannote[2168].end 11318.53221875
transcript.pyannote[2169].speaker SPEAKER_18
transcript.pyannote[2169].start 11295.85221875
transcript.pyannote[2169].end 11298.02909375
transcript.pyannote[2170].speaker SPEAKER_04
transcript.pyannote[2170].start 11318.73471875
transcript.pyannote[2170].end 11343.67596875
transcript.pyannote[2171].speaker SPEAKER_04
transcript.pyannote[2171].start 11343.82784375
transcript.pyannote[2171].end 11346.13971875
transcript.pyannote[2172].speaker SPEAKER_04
transcript.pyannote[2172].start 11346.78096875
transcript.pyannote[2172].end 11359.40346875
transcript.pyannote[2173].speaker SPEAKER_04
transcript.pyannote[2173].start 11359.87596875
transcript.pyannote[2173].end 11373.13971875
transcript.pyannote[2174].speaker SPEAKER_04
transcript.pyannote[2174].start 11373.27471875
transcript.pyannote[2174].end 11375.41784375
transcript.pyannote[2175].speaker SPEAKER_04
transcript.pyannote[2175].start 11375.95784375
transcript.pyannote[2175].end 11380.09221875
transcript.pyannote[2176].speaker SPEAKER_04
transcript.pyannote[2176].start 11380.39596875
transcript.pyannote[2176].end 11385.03659375
transcript.pyannote[2177].speaker SPEAKER_18
transcript.pyannote[2177].start 11384.76659375
transcript.pyannote[2177].end 11386.30221875
transcript.pyannote[2178].speaker SPEAKER_04
transcript.pyannote[2178].start 11385.34034375
transcript.pyannote[2178].end 11387.65221875
transcript.pyannote[2179].speaker SPEAKER_18
transcript.pyannote[2179].start 11387.31471875
transcript.pyannote[2179].end 11392.57971875
transcript.pyannote[2180].speaker SPEAKER_18
transcript.pyannote[2180].start 11392.93409375
transcript.pyannote[2180].end 11393.18721875
transcript.pyannote[2181].speaker SPEAKER_04
transcript.pyannote[2181].start 11393.06909375
transcript.pyannote[2181].end 11393.11971875
transcript.pyannote[2182].speaker SPEAKER_04
transcript.pyannote[2182].start 11393.17034375
transcript.pyannote[2182].end 11393.33909375
transcript.pyannote[2183].speaker SPEAKER_18
transcript.pyannote[2183].start 11393.20409375
transcript.pyannote[2183].end 11393.22096875
transcript.pyannote[2184].speaker SPEAKER_18
transcript.pyannote[2184].start 11393.33909375
transcript.pyannote[2184].end 11396.56221875
transcript.pyannote[2185].speaker SPEAKER_04
transcript.pyannote[2185].start 11396.10659375
transcript.pyannote[2185].end 11398.70534375
transcript.pyannote[2186].speaker SPEAKER_18
transcript.pyannote[2186].start 11398.18221875
transcript.pyannote[2186].end 11401.48971875
transcript.pyannote[2187].speaker SPEAKER_04
transcript.pyannote[2187].start 11399.31284375
transcript.pyannote[2187].end 11400.34221875
transcript.pyannote[2188].speaker SPEAKER_04
transcript.pyannote[2188].start 11400.94971875
transcript.pyannote[2188].end 11413.72409375
transcript.pyannote[2189].speaker SPEAKER_18
transcript.pyannote[2189].start 11404.07159375
transcript.pyannote[2189].end 11404.45971875
transcript.pyannote[2190].speaker SPEAKER_18
transcript.pyannote[2190].start 11413.94346875
transcript.pyannote[2190].end 11420.17034375
transcript.pyannote[2191].speaker SPEAKER_04
transcript.pyannote[2191].start 11420.13659375
transcript.pyannote[2191].end 11420.62596875
transcript.pyannote[2192].speaker SPEAKER_18
transcript.pyannote[2192].start 11420.45721875
transcript.pyannote[2192].end 11425.60409375
transcript.pyannote[2193].speaker SPEAKER_04
transcript.pyannote[2193].start 11425.09784375
transcript.pyannote[2193].end 11453.71784375
transcript.pyannote[2194].speaker SPEAKER_18
transcript.pyannote[2194].start 11428.74284375
transcript.pyannote[2194].end 11428.82721875
transcript.pyannote[2195].speaker SPEAKER_18
transcript.pyannote[2195].start 11451.06846875
transcript.pyannote[2195].end 11451.92909375
transcript.pyannote[2196].speaker SPEAKER_03
transcript.pyannote[2196].start 11451.92909375
transcript.pyannote[2196].end 11452.01346875
transcript.pyannote[2197].speaker SPEAKER_18
transcript.pyannote[2197].start 11452.01346875
transcript.pyannote[2197].end 11452.19909375
transcript.pyannote[2198].speaker SPEAKER_03
transcript.pyannote[2198].start 11452.19909375
transcript.pyannote[2198].end 11452.38471875
transcript.pyannote[2199].speaker SPEAKER_18
transcript.pyannote[2199].start 11452.38471875
transcript.pyannote[2199].end 11452.70534375
transcript.pyannote[2200].speaker SPEAKER_18
transcript.pyannote[2200].start 11453.71784375
transcript.pyannote[2200].end 11457.61596875
transcript.pyannote[2201].speaker SPEAKER_04
transcript.pyannote[2201].start 11455.35471875
transcript.pyannote[2201].end 11462.52659375
transcript.pyannote[2202].speaker SPEAKER_18
transcript.pyannote[2202].start 11460.78846875
transcript.pyannote[2202].end 11470.66034375
transcript.pyannote[2203].speaker SPEAKER_04
transcript.pyannote[2203].start 11463.58971875
transcript.pyannote[2203].end 11463.84284375
transcript.pyannote[2204].speaker SPEAKER_04
transcript.pyannote[2204].start 11470.62659375
transcript.pyannote[2204].end 11483.65409375
transcript.pyannote[2205].speaker SPEAKER_18
transcript.pyannote[2205].start 11471.01471875
transcript.pyannote[2205].end 11471.85846875
transcript.pyannote[2206].speaker SPEAKER_04
transcript.pyannote[2206].start 11484.39659375
transcript.pyannote[2206].end 11496.22596875
transcript.pyannote[2207].speaker SPEAKER_04
transcript.pyannote[2207].start 11496.78284375
transcript.pyannote[2207].end 11509.65846875
transcript.pyannote[2208].speaker SPEAKER_00
transcript.pyannote[2208].start 11497.57596875
transcript.pyannote[2208].end 11499.21284375
transcript.pyannote[2209].speaker SPEAKER_04
transcript.pyannote[2209].start 11510.45159375
transcript.pyannote[2209].end 11511.39659375
transcript.pyannote[2210].speaker SPEAKER_04
transcript.pyannote[2210].start 11511.64971875
transcript.pyannote[2210].end 11512.32471875
transcript.pyannote[2211].speaker SPEAKER_04
transcript.pyannote[2211].start 11512.45971875
transcript.pyannote[2211].end 11521.16721875
transcript.pyannote[2212].speaker SPEAKER_04
transcript.pyannote[2212].start 11521.40346875
transcript.pyannote[2212].end 11522.39909375
transcript.pyannote[2213].speaker SPEAKER_04
transcript.pyannote[2213].start 11522.97284375
transcript.pyannote[2213].end 11525.20034375
transcript.pyannote[2214].speaker SPEAKER_04
transcript.pyannote[2214].start 11525.67284375
transcript.pyannote[2214].end 11529.41909375
transcript.pyannote[2215].speaker SPEAKER_04
transcript.pyannote[2215].start 11529.75659375
transcript.pyannote[2215].end 11530.09409375
transcript.pyannote[2216].speaker SPEAKER_04
transcript.pyannote[2216].start 11530.24596875
transcript.pyannote[2216].end 11530.87034375
transcript.pyannote[2217].speaker SPEAKER_04
transcript.pyannote[2217].start 11531.14034375
transcript.pyannote[2217].end 11533.01346875
transcript.pyannote[2218].speaker SPEAKER_04
transcript.pyannote[2218].start 11533.35096875
transcript.pyannote[2218].end 11533.67159375
transcript.pyannote[2219].speaker SPEAKER_04
transcript.pyannote[2219].start 11534.95409375
transcript.pyannote[2219].end 11535.51096875
transcript.pyannote[2220].speaker SPEAKER_04
transcript.pyannote[2220].start 11535.73034375
transcript.pyannote[2220].end 11538.37971875
transcript.pyannote[2221].speaker SPEAKER_04
transcript.pyannote[2221].start 11538.68346875
transcript.pyannote[2221].end 11540.45534375
transcript.pyannote[2222].speaker SPEAKER_04
transcript.pyannote[2222].start 11540.74221875
transcript.pyannote[2222].end 11544.42096875
transcript.pyannote[2223].speaker SPEAKER_04
transcript.pyannote[2223].start 11544.62346875
transcript.pyannote[2223].end 11547.12096875
transcript.pyannote[2224].speaker SPEAKER_04
transcript.pyannote[2224].start 11547.71159375
transcript.pyannote[2224].end 11549.66909375
transcript.pyannote[2225].speaker SPEAKER_04
transcript.pyannote[2225].start 11549.88846875
transcript.pyannote[2225].end 11551.39034375
transcript.pyannote[2226].speaker SPEAKER_04
transcript.pyannote[2226].start 11551.59284375
transcript.pyannote[2226].end 11554.69784375
transcript.pyannote[2227].speaker SPEAKER_04
transcript.pyannote[2227].start 11555.62596875
transcript.pyannote[2227].end 11556.35159375
transcript.pyannote[2228].speaker SPEAKER_04
transcript.pyannote[2228].start 11556.41909375
transcript.pyannote[2228].end 11565.00846875
transcript.pyannote[2229].speaker SPEAKER_04
transcript.pyannote[2229].start 11565.31221875
transcript.pyannote[2229].end 11571.04971875
transcript.pyannote[2230].speaker SPEAKER_04
transcript.pyannote[2230].start 11571.42096875
transcript.pyannote[2230].end 11576.17971875
transcript.pyannote[2231].speaker SPEAKER_18
transcript.pyannote[2231].start 11577.68159375
transcript.pyannote[2231].end 11585.89971875
transcript.pyannote[2232].speaker SPEAKER_03
transcript.pyannote[2232].start 11580.92159375
transcript.pyannote[2232].end 11581.46159375
transcript.pyannote[2233].speaker SPEAKER_03
transcript.pyannote[2233].start 11585.08971875
transcript.pyannote[2233].end 11591.01284375
transcript.pyannote[2234].speaker SPEAKER_18
transcript.pyannote[2234].start 11586.69284375
transcript.pyannote[2234].end 11587.60409375
transcript.pyannote[2235].speaker SPEAKER_18
transcript.pyannote[2235].start 11589.46034375
transcript.pyannote[2235].end 11593.15596875
transcript.pyannote[2236].speaker SPEAKER_18
transcript.pyannote[2236].start 11593.54409375
transcript.pyannote[2236].end 11609.79471875
transcript.pyannote[2237].speaker SPEAKER_10
transcript.pyannote[2237].start 11599.16346875
transcript.pyannote[2237].end 11599.53471875
transcript.pyannote[2238].speaker SPEAKER_18
transcript.pyannote[2238].start 11609.94659375
transcript.pyannote[2238].end 11613.43971875
transcript.pyannote[2239].speaker SPEAKER_03
transcript.pyannote[2239].start 11611.00971875
transcript.pyannote[2239].end 11611.97159375
transcript.pyannote[2240].speaker SPEAKER_04
transcript.pyannote[2240].start 11611.97159375
transcript.pyannote[2240].end 11613.37221875
transcript.pyannote[2241].speaker SPEAKER_18
transcript.pyannote[2241].start 11613.91221875
transcript.pyannote[2241].end 11613.92909375
transcript.pyannote[2242].speaker SPEAKER_04
transcript.pyannote[2242].start 11613.92909375
transcript.pyannote[2242].end 11614.01346875
transcript.pyannote[2243].speaker SPEAKER_18
transcript.pyannote[2243].start 11614.01346875
transcript.pyannote[2243].end 11614.03034375
transcript.pyannote[2244].speaker SPEAKER_04
transcript.pyannote[2244].start 11614.03034375
transcript.pyannote[2244].end 11614.08096875
transcript.pyannote[2245].speaker SPEAKER_18
transcript.pyannote[2245].start 11614.08096875
transcript.pyannote[2245].end 11614.26659375
transcript.pyannote[2246].speaker SPEAKER_04
transcript.pyannote[2246].start 11614.26659375
transcript.pyannote[2246].end 11623.61534375
transcript.pyannote[2247].speaker SPEAKER_18
transcript.pyannote[2247].start 11614.53659375
transcript.pyannote[2247].end 11615.34659375
transcript.pyannote[2248].speaker SPEAKER_18
transcript.pyannote[2248].start 11617.64159375
transcript.pyannote[2248].end 11618.35034375
transcript.pyannote[2249].speaker SPEAKER_18
transcript.pyannote[2249].start 11621.05034375
transcript.pyannote[2249].end 11621.97846875
transcript.pyannote[2250].speaker SPEAKER_03
transcript.pyannote[2250].start 11621.97846875
transcript.pyannote[2250].end 11622.02909375
transcript.pyannote[2251].speaker SPEAKER_18
transcript.pyannote[2251].start 11622.02909375
transcript.pyannote[2251].end 11622.23159375
transcript.pyannote[2252].speaker SPEAKER_03
transcript.pyannote[2252].start 11622.23159375
transcript.pyannote[2252].end 11622.51846875
transcript.pyannote[2253].speaker SPEAKER_04
transcript.pyannote[2253].start 11624.17221875
transcript.pyannote[2253].end 11628.89721875
transcript.pyannote[2254].speaker SPEAKER_18
transcript.pyannote[2254].start 11627.14221875
transcript.pyannote[2254].end 11632.60971875
transcript.pyannote[2255].speaker SPEAKER_18
transcript.pyannote[2255].start 11632.81221875
transcript.pyannote[2255].end 11636.76096875
transcript.pyannote[2256].speaker SPEAKER_18
transcript.pyannote[2256].start 11636.94659375
transcript.pyannote[2256].end 11643.96659375
transcript.pyannote[2257].speaker SPEAKER_03
transcript.pyannote[2257].start 11638.61721875
transcript.pyannote[2257].end 11641.48596875
transcript.pyannote[2258].speaker SPEAKER_04
transcript.pyannote[2258].start 11643.96659375
transcript.pyannote[2258].end 11644.18596875
transcript.pyannote[2259].speaker SPEAKER_18
transcript.pyannote[2259].start 11644.18596875
transcript.pyannote[2259].end 11645.51909375
transcript.pyannote[2260].speaker SPEAKER_04
transcript.pyannote[2260].start 11644.33784375
transcript.pyannote[2260].end 11652.01596875
transcript.pyannote[2261].speaker SPEAKER_18
transcript.pyannote[2261].start 11647.17284375
transcript.pyannote[2261].end 11647.66221875
transcript.pyannote[2262].speaker SPEAKER_18
transcript.pyannote[2262].start 11652.01596875
transcript.pyannote[2262].end 11657.31471875
transcript.pyannote[2263].speaker SPEAKER_04
transcript.pyannote[2263].start 11656.60596875
transcript.pyannote[2263].end 11657.85471875
transcript.pyannote[2264].speaker SPEAKER_04
transcript.pyannote[2264].start 11657.97284375
transcript.pyannote[2264].end 11667.57471875
transcript.pyannote[2265].speaker SPEAKER_04
transcript.pyannote[2265].start 11667.82784375
transcript.pyannote[2265].end 11667.96284375
transcript.pyannote[2266].speaker SPEAKER_18
transcript.pyannote[2266].start 11667.96284375
transcript.pyannote[2266].end 11668.03034375
transcript.pyannote[2267].speaker SPEAKER_04
transcript.pyannote[2267].start 11668.03034375
transcript.pyannote[2267].end 11668.23284375
transcript.pyannote[2268].speaker SPEAKER_04
transcript.pyannote[2268].start 11668.35096875
transcript.pyannote[2268].end 11675.16846875
transcript.pyannote[2269].speaker SPEAKER_04
transcript.pyannote[2269].start 11676.48471875
transcript.pyannote[2269].end 11677.83471875
transcript.pyannote[2270].speaker SPEAKER_18
transcript.pyannote[2270].start 11677.66596875
transcript.pyannote[2270].end 11678.56034375
transcript.pyannote[2271].speaker SPEAKER_04
transcript.pyannote[2271].start 11678.27346875
transcript.pyannote[2271].end 11679.85971875
transcript.pyannote[2272].speaker SPEAKER_18
transcript.pyannote[2272].start 11678.94846875
transcript.pyannote[2272].end 11681.00721875
transcript.pyannote[2273].speaker SPEAKER_04
transcript.pyannote[2273].start 11681.00721875
transcript.pyannote[2273].end 11694.40596875
transcript.pyannote[2274].speaker SPEAKER_18
transcript.pyannote[2274].start 11686.57596875
transcript.pyannote[2274].end 11687.01471875
transcript.pyannote[2275].speaker SPEAKER_18
transcript.pyannote[2275].start 11689.52909375
transcript.pyannote[2275].end 11689.54596875
transcript.pyannote[2276].speaker SPEAKER_10
transcript.pyannote[2276].start 11689.54596875
transcript.pyannote[2276].end 11689.56284375
transcript.pyannote[2277].speaker SPEAKER_10
transcript.pyannote[2277].start 11689.83284375
transcript.pyannote[2277].end 11689.91721875
transcript.pyannote[2278].speaker SPEAKER_18
transcript.pyannote[2278].start 11689.91721875
transcript.pyannote[2278].end 11689.93409375
transcript.pyannote[2279].speaker SPEAKER_04
transcript.pyannote[2279].start 11694.96284375
transcript.pyannote[2279].end 11698.42221875
transcript.pyannote[2280].speaker SPEAKER_04
transcript.pyannote[2280].start 11699.51909375
transcript.pyannote[2280].end 11705.30721875
transcript.pyannote[2281].speaker SPEAKER_18
transcript.pyannote[2281].start 11704.71659375
transcript.pyannote[2281].end 11706.35346875
transcript.pyannote[2282].speaker SPEAKER_18
transcript.pyannote[2282].start 11706.42096875
transcript.pyannote[2282].end 11706.43784375
transcript.pyannote[2283].speaker SPEAKER_04
transcript.pyannote[2283].start 11706.43784375
transcript.pyannote[2283].end 11707.45034375
transcript.pyannote[2284].speaker SPEAKER_04
transcript.pyannote[2284].start 11707.60221875
transcript.pyannote[2284].end 11708.54721875
transcript.pyannote[2285].speaker SPEAKER_04
transcript.pyannote[2285].start 11708.98596875
transcript.pyannote[2285].end 11709.77909375
transcript.pyannote[2286].speaker SPEAKER_04
transcript.pyannote[2286].start 11709.96471875
transcript.pyannote[2286].end 11712.02346875
transcript.pyannote[2287].speaker SPEAKER_04
transcript.pyannote[2287].start 11712.51284375
transcript.pyannote[2287].end 11713.03596875
transcript.pyannote[2288].speaker SPEAKER_04
transcript.pyannote[2288].start 11713.33971875
transcript.pyannote[2288].end 11713.89659375
transcript.pyannote[2289].speaker SPEAKER_04
transcript.pyannote[2289].start 11714.50409375
transcript.pyannote[2289].end 11716.71471875
transcript.pyannote[2290].speaker SPEAKER_04
transcript.pyannote[2290].start 11718.25034375
transcript.pyannote[2290].end 11719.58346875
transcript.pyannote[2291].speaker SPEAKER_04
transcript.pyannote[2291].start 11720.24159375
transcript.pyannote[2291].end 11721.77721875
transcript.pyannote[2292].speaker SPEAKER_04
transcript.pyannote[2292].start 11722.48596875
transcript.pyannote[2292].end 11723.26221875
transcript.pyannote[2293].speaker SPEAKER_04
transcript.pyannote[2293].start 11723.48159375
transcript.pyannote[2293].end 11735.68221875
transcript.pyannote[2294].speaker SPEAKER_04
transcript.pyannote[2294].start 11736.03659375
transcript.pyannote[2294].end 11742.87096875
transcript.pyannote[2295].speaker SPEAKER_04
transcript.pyannote[2295].start 11743.09034375
transcript.pyannote[2295].end 11743.54596875
transcript.pyannote[2296].speaker SPEAKER_04
transcript.pyannote[2296].start 11743.96784375
transcript.pyannote[2296].end 11745.99284375
transcript.pyannote[2297].speaker SPEAKER_04
transcript.pyannote[2297].start 11746.38096875
transcript.pyannote[2297].end 11747.88284375
transcript.pyannote[2298].speaker SPEAKER_04
transcript.pyannote[2298].start 11748.77721875
transcript.pyannote[2298].end 11751.08909375
transcript.pyannote[2299].speaker SPEAKER_04
transcript.pyannote[2299].start 11752.13534375
transcript.pyannote[2299].end 11754.05909375
transcript.pyannote[2300].speaker SPEAKER_04
transcript.pyannote[2300].start 11754.75096875
transcript.pyannote[2300].end 11755.05471875
transcript.pyannote[2301].speaker SPEAKER_04
transcript.pyannote[2301].start 11755.52721875
transcript.pyannote[2301].end 11756.37096875
transcript.pyannote[2302].speaker SPEAKER_04
transcript.pyannote[2302].start 11756.69159375
transcript.pyannote[2302].end 11760.28596875
transcript.pyannote[2303].speaker SPEAKER_04
transcript.pyannote[2303].start 11761.70346875
transcript.pyannote[2303].end 11765.93909375
transcript.pyannote[2304].speaker SPEAKER_04
transcript.pyannote[2304].start 11766.19221875
transcript.pyannote[2304].end 11770.30971875
transcript.pyannote[2305].speaker SPEAKER_10
transcript.pyannote[2305].start 11770.83284375
transcript.pyannote[2305].end 11771.01846875
transcript.pyannote[2306].speaker SPEAKER_04
transcript.pyannote[2306].start 11771.01846875
transcript.pyannote[2306].end 11773.85346875
transcript.pyannote[2307].speaker SPEAKER_04
transcript.pyannote[2307].start 11774.54534375
transcript.pyannote[2307].end 11784.16409375
transcript.pyannote[2308].speaker SPEAKER_18
transcript.pyannote[2308].start 11784.72096875
transcript.pyannote[2308].end 11798.89596875
transcript.pyannote[2309].speaker SPEAKER_04
transcript.pyannote[2309].start 11785.05846875
transcript.pyannote[2309].end 11785.85159375
transcript.pyannote[2310].speaker SPEAKER_03
transcript.pyannote[2310].start 11798.13659375
transcript.pyannote[2310].end 11801.79846875
transcript.pyannote[2311].speaker SPEAKER_18
transcript.pyannote[2311].start 11800.41471875
transcript.pyannote[2311].end 11805.08909375
transcript.pyannote[2312].speaker SPEAKER_03
transcript.pyannote[2312].start 11804.65034375
transcript.pyannote[2312].end 11813.18909375
transcript.pyannote[2313].speaker SPEAKER_18
transcript.pyannote[2313].start 11805.24096875
transcript.pyannote[2313].end 11805.54471875
transcript.pyannote[2314].speaker SPEAKER_18
transcript.pyannote[2314].start 11809.62846875
transcript.pyannote[2314].end 11811.19784375
transcript.pyannote[2315].speaker SPEAKER_18
transcript.pyannote[2315].start 11812.90221875
transcript.pyannote[2315].end 11813.15534375
transcript.pyannote[2316].speaker SPEAKER_18
transcript.pyannote[2316].start 11813.18909375
transcript.pyannote[2316].end 11818.75784375
transcript.pyannote[2317].speaker SPEAKER_03
transcript.pyannote[2317].start 11815.01159375
transcript.pyannote[2317].end 11815.31534375
transcript.pyannote[2318].speaker SPEAKER_03
transcript.pyannote[2318].start 11818.06596875
transcript.pyannote[2318].end 11820.41159375
transcript.pyannote[2319].speaker SPEAKER_18
transcript.pyannote[2319].start 11818.90971875
transcript.pyannote[2319].end 11826.89159375
transcript.pyannote[2320].speaker SPEAKER_18
transcript.pyannote[2320].start 11827.27971875
transcript.pyannote[2320].end 11831.54909375
transcript.pyannote[2321].speaker SPEAKER_03
transcript.pyannote[2321].start 11831.17784375
transcript.pyannote[2321].end 11834.02971875
transcript.pyannote[2322].speaker SPEAKER_04
transcript.pyannote[2322].start 11834.02971875
transcript.pyannote[2322].end 11838.65346875
transcript.pyannote[2323].speaker SPEAKER_18
transcript.pyannote[2323].start 11838.78846875
transcript.pyannote[2323].end 11841.99471875
transcript.pyannote[2324].speaker SPEAKER_04
transcript.pyannote[2324].start 11840.37471875
transcript.pyannote[2324].end 11843.42909375
transcript.pyannote[2325].speaker SPEAKER_18
transcript.pyannote[2325].start 11842.99034375
transcript.pyannote[2325].end 11853.18284375
transcript.pyannote[2326].speaker SPEAKER_04
transcript.pyannote[2326].start 11851.76534375
transcript.pyannote[2326].end 11859.81471875
transcript.pyannote[2327].speaker SPEAKER_04
transcript.pyannote[2327].start 11860.06784375
transcript.pyannote[2327].end 11862.86909375
transcript.pyannote[2328].speaker SPEAKER_04
transcript.pyannote[2328].start 11863.66221875
transcript.pyannote[2328].end 11866.54784375
transcript.pyannote[2329].speaker SPEAKER_18
transcript.pyannote[2329].start 11864.79284375
transcript.pyannote[2329].end 11864.87721875
transcript.pyannote[2330].speaker SPEAKER_18
transcript.pyannote[2330].start 11864.89409375
transcript.pyannote[2330].end 11864.91096875
transcript.pyannote[2331].speaker SPEAKER_18
transcript.pyannote[2331].start 11866.78409375
transcript.pyannote[2331].end 11866.96971875
transcript.pyannote[2332].speaker SPEAKER_04
transcript.pyannote[2332].start 11866.96971875
transcript.pyannote[2332].end 11875.06971875
transcript.pyannote[2333].speaker SPEAKER_18
transcript.pyannote[2333].start 11875.50846875
transcript.pyannote[2333].end 11883.72659375
transcript.pyannote[2334].speaker SPEAKER_04
transcript.pyannote[2334].start 11881.66784375
transcript.pyannote[2334].end 11885.22846875
transcript.pyannote[2335].speaker SPEAKER_18
transcript.pyannote[2335].start 11884.19909375
transcript.pyannote[2335].end 11890.47659375
transcript.pyannote[2336].speaker SPEAKER_04
transcript.pyannote[2336].start 11888.85659375
transcript.pyannote[2336].end 11911.38471875
transcript.pyannote[2337].speaker SPEAKER_04
transcript.pyannote[2337].start 11911.80659375
transcript.pyannote[2337].end 11915.63721875
transcript.pyannote[2338].speaker SPEAKER_04
transcript.pyannote[2338].start 11915.87346875
transcript.pyannote[2338].end 11923.23096875
transcript.pyannote[2339].speaker SPEAKER_18
transcript.pyannote[2339].start 11923.34909375
transcript.pyannote[2339].end 11923.87221875
transcript.pyannote[2340].speaker SPEAKER_04
transcript.pyannote[2340].start 11924.63159375
transcript.pyannote[2340].end 11932.84971875
transcript.pyannote[2341].speaker SPEAKER_04
transcript.pyannote[2341].start 11933.27159375
transcript.pyannote[2341].end 11935.29659375
transcript.pyannote[2342].speaker SPEAKER_18
transcript.pyannote[2342].start 11935.70159375
transcript.pyannote[2342].end 11937.05159375
transcript.pyannote[2343].speaker SPEAKER_04
transcript.pyannote[2343].start 11936.71409375
transcript.pyannote[2343].end 11941.84409375
transcript.pyannote[2344].speaker SPEAKER_18
transcript.pyannote[2344].start 11941.84409375
transcript.pyannote[2344].end 11962.27971875
transcript.pyannote[2345].speaker SPEAKER_00
transcript.pyannote[2345].start 11951.49659375
transcript.pyannote[2345].end 11952.01971875
transcript.pyannote[2346].speaker SPEAKER_00
transcript.pyannote[2346].start 11957.85846875
transcript.pyannote[2346].end 11958.31409375
transcript.pyannote[2347].speaker SPEAKER_18
transcript.pyannote[2347].start 11962.75221875
transcript.pyannote[2347].end 11963.35971875
transcript.pyannote[2348].speaker SPEAKER_18
transcript.pyannote[2348].start 11963.52846875
transcript.pyannote[2348].end 11970.04221875
transcript.pyannote[2349].speaker SPEAKER_18
transcript.pyannote[2349].start 11970.17721875
transcript.pyannote[2349].end 11975.10471875
transcript.pyannote[2350].speaker SPEAKER_18
transcript.pyannote[2350].start 11975.13846875
transcript.pyannote[2350].end 11979.17159375
transcript.pyannote[2351].speaker SPEAKER_18
transcript.pyannote[2351].start 11979.32346875
transcript.pyannote[2351].end 11986.02284375
transcript.pyannote[2352].speaker SPEAKER_18
transcript.pyannote[2352].start 11986.74846875
transcript.pyannote[2352].end 11989.49909375
transcript.pyannote[2353].speaker SPEAKER_18
transcript.pyannote[2353].start 11989.73534375
transcript.pyannote[2353].end 11998.40909375
transcript.pyannote[2354].speaker SPEAKER_04
transcript.pyannote[2354].start 11996.70471875
transcript.pyannote[2354].end 12014.22096875
transcript.pyannote[2355].speaker SPEAKER_18
transcript.pyannote[2355].start 11999.65784375
transcript.pyannote[2355].end 11999.86034375
transcript.pyannote[2356].speaker SPEAKER_18
transcript.pyannote[2356].start 12014.69346875
transcript.pyannote[2356].end 12020.07659375
transcript.pyannote[2357].speaker SPEAKER_04
transcript.pyannote[2357].start 12018.79409375
transcript.pyannote[2357].end 12020.66721875
transcript.pyannote[2358].speaker SPEAKER_18
transcript.pyannote[2358].start 12021.42659375
transcript.pyannote[2358].end 12023.82284375
transcript.pyannote[2359].speaker SPEAKER_04
transcript.pyannote[2359].start 12022.92846875
transcript.pyannote[2359].end 12025.54409375
transcript.pyannote[2360].speaker SPEAKER_18
transcript.pyannote[2360].start 12024.64971875
transcript.pyannote[2360].end 12025.84784375
transcript.pyannote[2361].speaker SPEAKER_18
transcript.pyannote[2361].start 12026.42159375
transcript.pyannote[2361].end 12047.75159375
transcript.pyannote[2362].speaker SPEAKER_04
transcript.pyannote[2362].start 12029.96534375
transcript.pyannote[2362].end 12031.51784375
transcript.pyannote[2363].speaker SPEAKER_04
transcript.pyannote[2363].start 12035.48346875
transcript.pyannote[2363].end 12036.22596875
transcript.pyannote[2364].speaker SPEAKER_03
transcript.pyannote[2364].start 12039.26346875
transcript.pyannote[2364].end 12039.28034375
transcript.pyannote[2365].speaker SPEAKER_04
transcript.pyannote[2365].start 12039.28034375
transcript.pyannote[2365].end 12039.60096875
transcript.pyannote[2366].speaker SPEAKER_03
transcript.pyannote[2366].start 12039.60096875
transcript.pyannote[2366].end 12039.76971875
transcript.pyannote[2367].speaker SPEAKER_00
transcript.pyannote[2367].start 12042.73971875
transcript.pyannote[2367].end 12042.79034375
transcript.pyannote[2368].speaker SPEAKER_03
transcript.pyannote[2368].start 12042.79034375
transcript.pyannote[2368].end 12042.80721875
transcript.pyannote[2369].speaker SPEAKER_04
transcript.pyannote[2369].start 12042.80721875
transcript.pyannote[2369].end 12043.19534375
transcript.pyannote[2370].speaker SPEAKER_04
transcript.pyannote[2370].start 12045.79409375
transcript.pyannote[2370].end 12046.18221875
transcript.pyannote[2371].speaker SPEAKER_04
transcript.pyannote[2371].start 12047.56596875
transcript.pyannote[2371].end 12064.47471875
transcript.pyannote[2372].speaker SPEAKER_18
transcript.pyannote[2372].start 12051.61596875
transcript.pyannote[2372].end 12052.05471875
transcript.pyannote[2373].speaker SPEAKER_04
transcript.pyannote[2373].start 12064.84596875
transcript.pyannote[2373].end 12069.26721875
transcript.pyannote[2374].speaker SPEAKER_04
transcript.pyannote[2374].start 12069.46971875
transcript.pyannote[2374].end 12083.32409375
transcript.pyannote[2375].speaker SPEAKER_04
transcript.pyannote[2375].start 12083.98221875
transcript.pyannote[2375].end 12093.61784375
transcript.pyannote[2376].speaker SPEAKER_04
transcript.pyannote[2376].start 12093.83721875
transcript.pyannote[2376].end 12097.93784375
transcript.pyannote[2377].speaker SPEAKER_01
transcript.pyannote[2377].start 12098.49471875
transcript.pyannote[2377].end 12103.13534375
transcript.pyannote[2378].speaker SPEAKER_01
transcript.pyannote[2378].start 12105.44721875
transcript.pyannote[2378].end 12114.40784375
transcript.pyannote[2379].speaker SPEAKER_09
transcript.pyannote[2379].start 21593.31471875
transcript.pyannote[2379].end 21600.70596875
transcript.pyannote[2380].speaker SPEAKER_09
transcript.pyannote[2380].start 21620.50034375
transcript.pyannote[2380].end 21621.29346875
transcript.pyannote[2381].speaker SPEAKER_14
transcript.pyannote[2381].start 21620.80409375
transcript.pyannote[2381].end 21622.89659375
transcript.pyannote[2382].speaker SPEAKER_09
transcript.pyannote[2382].start 21623.72346875
transcript.pyannote[2382].end 21626.76096875
transcript.pyannote[2383].speaker SPEAKER_14
transcript.pyannote[2383].start 21631.36784375
transcript.pyannote[2383].end 21632.21159375
transcript.pyannote[2384].speaker SPEAKER_14
transcript.pyannote[2384].start 21632.56596875
transcript.pyannote[2384].end 21635.31659375
transcript.pyannote[2385].speaker SPEAKER_14
transcript.pyannote[2385].start 21636.04221875
transcript.pyannote[2385].end 21636.98721875
transcript.pyannote[2386].speaker SPEAKER_10
transcript.pyannote[2386].start 21637.08846875
transcript.pyannote[2386].end 21637.47659375
transcript.pyannote[2387].speaker SPEAKER_14
transcript.pyannote[2387].start 21637.91534375
transcript.pyannote[2387].end 21638.60721875
transcript.pyannote[2388].speaker SPEAKER_14
transcript.pyannote[2388].start 21639.29909375
transcript.pyannote[2388].end 21642.91034375
transcript.pyannote[2389].speaker SPEAKER_14
transcript.pyannote[2389].start 21643.11284375
transcript.pyannote[2389].end 21643.31534375
transcript.pyannote[2390].speaker SPEAKER_14
transcript.pyannote[2390].start 21644.02409375
transcript.pyannote[2390].end 21646.85909375
transcript.pyannote[2391].speaker SPEAKER_14
transcript.pyannote[2391].start 21647.82096875
transcript.pyannote[2391].end 21648.27659375
transcript.pyannote[2392].speaker SPEAKER_14
transcript.pyannote[2392].start 21649.42409375
transcript.pyannote[2392].end 21651.73596875
transcript.pyannote[2393].speaker SPEAKER_14
transcript.pyannote[2393].start 21652.42784375
transcript.pyannote[2393].end 21653.00159375
transcript.pyannote[2394].speaker SPEAKER_14
transcript.pyannote[2394].start 21653.60909375
transcript.pyannote[2394].end 21654.57096875
transcript.pyannote[2395].speaker SPEAKER_14
transcript.pyannote[2395].start 21655.70159375
transcript.pyannote[2395].end 21659.26221875
transcript.pyannote[2396].speaker SPEAKER_14
transcript.pyannote[2396].start 21659.75159375
transcript.pyannote[2396].end 21661.16909375
transcript.pyannote[2397].speaker SPEAKER_14
transcript.pyannote[2397].start 21661.55721875
transcript.pyannote[2397].end 21663.29534375
transcript.pyannote[2398].speaker SPEAKER_14
transcript.pyannote[2398].start 21664.10534375
transcript.pyannote[2398].end 21667.42971875
transcript.pyannote[2399].speaker SPEAKER_14
transcript.pyannote[2399].start 21668.08784375
transcript.pyannote[2399].end 21669.11721875
transcript.pyannote[2400].speaker SPEAKER_14
transcript.pyannote[2400].start 21669.77534375
transcript.pyannote[2400].end 21672.13784375
transcript.pyannote[2401].speaker SPEAKER_14
transcript.pyannote[2401].start 21673.16721875
transcript.pyannote[2401].end 21673.57221875
transcript.pyannote[2402].speaker SPEAKER_14
transcript.pyannote[2402].start 21673.97721875
transcript.pyannote[2402].end 21674.61846875
transcript.pyannote[2403].speaker SPEAKER_14
transcript.pyannote[2403].start 21676.00221875
transcript.pyannote[2403].end 21681.03096875
transcript.pyannote[2404].speaker SPEAKER_14
transcript.pyannote[2404].start 21681.16596875
transcript.pyannote[2404].end 21681.67221875
transcript.pyannote[2405].speaker SPEAKER_14
transcript.pyannote[2405].start 21682.44846875
transcript.pyannote[2405].end 21683.03909375
transcript.pyannote[2406].speaker SPEAKER_14
transcript.pyannote[2406].start 21683.69721875
transcript.pyannote[2406].end 21684.20346875
transcript.pyannote[2407].speaker SPEAKER_14
transcript.pyannote[2407].start 21684.47346875
transcript.pyannote[2407].end 21685.18221875
transcript.pyannote[2408].speaker SPEAKER_14
transcript.pyannote[2408].start 21685.26659375
transcript.pyannote[2408].end 21686.73471875
transcript.pyannote[2409].speaker SPEAKER_14
transcript.pyannote[2409].start 21687.22409375
transcript.pyannote[2409].end 21687.94971875
transcript.pyannote[2410].speaker SPEAKER_14
transcript.pyannote[2410].start 21688.65846875
transcript.pyannote[2410].end 21691.05471875
transcript.pyannote[2411].speaker SPEAKER_14
transcript.pyannote[2411].start 21691.61159375
transcript.pyannote[2411].end 21692.40471875
transcript.pyannote[2412].speaker SPEAKER_14
transcript.pyannote[2412].start 21693.19784375
transcript.pyannote[2412].end 21693.67034375
transcript.pyannote[2413].speaker SPEAKER_14
transcript.pyannote[2413].start 21694.83471875
transcript.pyannote[2413].end 21698.61471875
transcript.pyannote[2414].speaker SPEAKER_14
transcript.pyannote[2414].start 21699.20534375
transcript.pyannote[2414].end 21699.66096875
transcript.pyannote[2415].speaker SPEAKER_14
transcript.pyannote[2415].start 21700.26846875
transcript.pyannote[2415].end 21702.52971875
transcript.pyannote[2416].speaker SPEAKER_14
transcript.pyannote[2416].start 21703.89659375
transcript.pyannote[2416].end 21705.49971875
transcript.pyannote[2417].speaker SPEAKER_14
transcript.pyannote[2417].start 21706.32659375
transcript.pyannote[2417].end 21712.23284375
transcript.pyannote[2418].speaker SPEAKER_14
transcript.pyannote[2418].start 21712.35096875
transcript.pyannote[2418].end 21715.01721875
transcript.pyannote[2419].speaker SPEAKER_14
transcript.pyannote[2419].start 21715.69221875
transcript.pyannote[2419].end 21722.62784375
transcript.pyannote[2420].speaker SPEAKER_14
transcript.pyannote[2420].start 21723.42096875
transcript.pyannote[2420].end 21729.71534375
transcript.pyannote[2421].speaker SPEAKER_14
transcript.pyannote[2421].start 21731.47034375
transcript.pyannote[2421].end 21733.90034375
transcript.pyannote[2422].speaker SPEAKER_14
transcript.pyannote[2422].start 21734.72721875
transcript.pyannote[2422].end 21736.81971875
transcript.pyannote[2423].speaker SPEAKER_14
transcript.pyannote[2423].start 21737.57909375
transcript.pyannote[2423].end 21739.45221875
transcript.pyannote[2424].speaker SPEAKER_18
transcript.pyannote[2424].start 21740.71784375
transcript.pyannote[2424].end 21743.14784375
transcript.pyannote[2425].speaker SPEAKER_18
transcript.pyannote[2425].start 21744.10971875
transcript.pyannote[2425].end 21750.03284375
transcript.pyannote[2426].speaker SPEAKER_18
transcript.pyannote[2426].start 21750.33659375
transcript.pyannote[2426].end 21751.56846875
transcript.pyannote[2427].speaker SPEAKER_18
transcript.pyannote[2427].start 21751.90596875
transcript.pyannote[2427].end 21753.08721875
transcript.pyannote[2428].speaker SPEAKER_18
transcript.pyannote[2428].start 21753.34034375
transcript.pyannote[2428].end 21757.06971875
transcript.pyannote[2429].speaker SPEAKER_18
transcript.pyannote[2429].start 21757.71096875
transcript.pyannote[2429].end 21758.94284375
transcript.pyannote[2430].speaker SPEAKER_18
transcript.pyannote[2430].start 21759.73596875
transcript.pyannote[2430].end 21766.14846875
transcript.pyannote[2431].speaker SPEAKER_18
transcript.pyannote[2431].start 21766.70534375
transcript.pyannote[2431].end 21772.12221875
transcript.pyannote[2432].speaker SPEAKER_18
transcript.pyannote[2432].start 21772.62846875
transcript.pyannote[2432].end 21781.65659375
transcript.pyannote[2433].speaker SPEAKER_18
transcript.pyannote[2433].start 21782.23034375
transcript.pyannote[2433].end 21787.37721875
transcript.pyannote[2434].speaker SPEAKER_18
transcript.pyannote[2434].start 21787.73159375
transcript.pyannote[2434].end 21791.64659375
transcript.pyannote[2435].speaker SPEAKER_18
transcript.pyannote[2435].start 21791.98409375
transcript.pyannote[2435].end 21792.40596875
transcript.pyannote[2436].speaker SPEAKER_18
transcript.pyannote[2436].start 21793.03034375
transcript.pyannote[2436].end 21797.09721875
transcript.pyannote[2437].speaker SPEAKER_18
transcript.pyannote[2437].start 21797.40096875
transcript.pyannote[2437].end 21803.61096875
transcript.pyannote[2438].speaker SPEAKER_18
transcript.pyannote[2438].start 21804.20159375
transcript.pyannote[2438].end 21805.66971875
transcript.pyannote[2439].speaker SPEAKER_18
transcript.pyannote[2439].start 21805.75409375
transcript.pyannote[2439].end 21807.34034375
transcript.pyannote[2440].speaker SPEAKER_18
transcript.pyannote[2440].start 21807.77909375
transcript.pyannote[2440].end 21809.34846875
transcript.pyannote[2441].speaker SPEAKER_18
transcript.pyannote[2441].start 21810.22596875
transcript.pyannote[2441].end 21811.15409375
transcript.pyannote[2442].speaker SPEAKER_18
transcript.pyannote[2442].start 21811.74471875
transcript.pyannote[2442].end 21815.01846875
transcript.pyannote[2443].speaker SPEAKER_18
transcript.pyannote[2443].start 21816.03096875
transcript.pyannote[2443].end 21818.24159375
transcript.pyannote[2444].speaker SPEAKER_18
transcript.pyannote[2444].start 21818.59596875
transcript.pyannote[2444].end 21822.76409375
transcript.pyannote[2445].speaker SPEAKER_18
transcript.pyannote[2445].start 21823.60784375
transcript.pyannote[2445].end 21829.00784375
transcript.pyannote[2446].speaker SPEAKER_18
transcript.pyannote[2446].start 21829.15971875
transcript.pyannote[2446].end 21835.45409375
transcript.pyannote[2447].speaker SPEAKER_18
transcript.pyannote[2447].start 21835.74096875
transcript.pyannote[2447].end 21837.24284375
transcript.pyannote[2448].speaker SPEAKER_18
transcript.pyannote[2448].start 21837.58034375
transcript.pyannote[2448].end 21840.53346875
transcript.pyannote[2449].speaker SPEAKER_18
transcript.pyannote[2449].start 21841.20846875
transcript.pyannote[2449].end 21845.59596875
transcript.pyannote[2450].speaker SPEAKER_18
transcript.pyannote[2450].start 21846.42284375
transcript.pyannote[2450].end 21848.73471875
transcript.pyannote[2451].speaker SPEAKER_18
transcript.pyannote[2451].start 21849.19034375
transcript.pyannote[2451].end 21851.43471875
transcript.pyannote[2452].speaker SPEAKER_18
transcript.pyannote[2452].start 21851.95784375
transcript.pyannote[2452].end 21863.66909375
transcript.pyannote[2453].speaker SPEAKER_18
transcript.pyannote[2453].start 21864.51284375
transcript.pyannote[2453].end 21865.89659375
transcript.pyannote[2454].speaker SPEAKER_18
transcript.pyannote[2454].start 21866.70659375
transcript.pyannote[2454].end 21867.55034375
transcript.pyannote[2455].speaker SPEAKER_18
transcript.pyannote[2455].start 21867.83721875
transcript.pyannote[2455].end 21869.91284375
transcript.pyannote[2456].speaker SPEAKER_18
transcript.pyannote[2456].start 21870.38534375
transcript.pyannote[2456].end 21875.92034375
transcript.pyannote[2457].speaker SPEAKER_10
transcript.pyannote[2457].start 21876.10596875
transcript.pyannote[2457].end 21876.12284375
transcript.pyannote[2458].speaker SPEAKER_14
transcript.pyannote[2458].start 21876.12284375
transcript.pyannote[2458].end 21876.19034375
transcript.pyannote[2459].speaker SPEAKER_18
transcript.pyannote[2459].start 21876.40971875
transcript.pyannote[2459].end 21879.17721875
transcript.pyannote[2460].speaker SPEAKER_18
transcript.pyannote[2460].start 21879.71721875
transcript.pyannote[2460].end 21880.62846875
transcript.pyannote[2461].speaker SPEAKER_14
transcript.pyannote[2461].start 21880.15596875
transcript.pyannote[2461].end 21887.88471875
transcript.pyannote[2462].speaker SPEAKER_18
transcript.pyannote[2462].start 21882.87284375
transcript.pyannote[2462].end 21883.32846875
transcript.pyannote[2463].speaker SPEAKER_18
transcript.pyannote[2463].start 21885.20159375
transcript.pyannote[2463].end 21887.74971875
transcript.pyannote[2464].speaker SPEAKER_18
transcript.pyannote[2464].start 21887.88471875
transcript.pyannote[2464].end 21887.90159375
transcript.pyannote[2465].speaker SPEAKER_18
transcript.pyannote[2465].start 21887.91846875
transcript.pyannote[2465].end 21892.66034375
transcript.pyannote[2466].speaker SPEAKER_18
transcript.pyannote[2466].start 21893.21721875
transcript.pyannote[2466].end 21897.87471875
transcript.pyannote[2467].speaker SPEAKER_18
transcript.pyannote[2467].start 21898.34721875
transcript.pyannote[2467].end 21902.11034375
transcript.pyannote[2468].speaker SPEAKER_00
transcript.pyannote[2468].start 21899.69721875
transcript.pyannote[2468].end 21900.00096875
transcript.pyannote[2469].speaker SPEAKER_18
transcript.pyannote[2469].start 21902.44784375
transcript.pyannote[2469].end 21906.39659375
transcript.pyannote[2470].speaker SPEAKER_18
transcript.pyannote[2470].start 21906.71721875
transcript.pyannote[2470].end 21907.93221875
transcript.pyannote[2471].speaker SPEAKER_18
transcript.pyannote[2471].start 21908.23596875
transcript.pyannote[2471].end 21909.56909375
transcript.pyannote[2472].speaker SPEAKER_18
transcript.pyannote[2472].start 21909.82221875
transcript.pyannote[2472].end 21912.70784375
transcript.pyannote[2473].speaker SPEAKER_18
transcript.pyannote[2473].start 21912.97784375
transcript.pyannote[2473].end 21914.81721875
transcript.pyannote[2474].speaker SPEAKER_18
transcript.pyannote[2474].start 21915.61034375
transcript.pyannote[2474].end 21916.80846875
transcript.pyannote[2475].speaker SPEAKER_18
transcript.pyannote[2475].start 21917.19659375
transcript.pyannote[2475].end 21921.85409375
transcript.pyannote[2476].speaker SPEAKER_14
transcript.pyannote[2476].start 21921.70221875
transcript.pyannote[2476].end 21923.38971875
transcript.pyannote[2477].speaker SPEAKER_14
transcript.pyannote[2477].start 21924.06471875
transcript.pyannote[2477].end 21928.77284375
transcript.pyannote[2478].speaker SPEAKER_14
transcript.pyannote[2478].start 21929.27909375
transcript.pyannote[2478].end 21929.88659375
transcript.pyannote[2479].speaker SPEAKER_14
transcript.pyannote[2479].start 21930.29159375
transcript.pyannote[2479].end 21933.76784375
transcript.pyannote[2480].speaker SPEAKER_14
transcript.pyannote[2480].start 21934.13909375
transcript.pyannote[2480].end 21935.97846875
transcript.pyannote[2481].speaker SPEAKER_14
transcript.pyannote[2481].start 21936.61971875
transcript.pyannote[2481].end 21940.26471875
transcript.pyannote[2482].speaker SPEAKER_14
transcript.pyannote[2482].start 21941.19284375
transcript.pyannote[2482].end 21941.69909375
transcript.pyannote[2483].speaker SPEAKER_14
transcript.pyannote[2483].start 21942.28971875
transcript.pyannote[2483].end 21945.24284375
transcript.pyannote[2484].speaker SPEAKER_14
transcript.pyannote[2484].start 21945.81659375
transcript.pyannote[2484].end 21949.30971875
transcript.pyannote[2485].speaker SPEAKER_14
transcript.pyannote[2485].start 21950.45721875
transcript.pyannote[2485].end 21951.11534375
transcript.pyannote[2486].speaker SPEAKER_14
transcript.pyannote[2486].start 21951.35159375
transcript.pyannote[2486].end 21952.36409375
transcript.pyannote[2487].speaker SPEAKER_14
transcript.pyannote[2487].start 21953.22471875
transcript.pyannote[2487].end 21953.86596875
transcript.pyannote[2488].speaker SPEAKER_14
transcript.pyannote[2488].start 21954.27096875
transcript.pyannote[2488].end 21954.79409375
transcript.pyannote[2489].speaker SPEAKER_14
transcript.pyannote[2489].start 21956.09346875
transcript.pyannote[2489].end 21957.08909375
transcript.pyannote[2490].speaker SPEAKER_14
transcript.pyannote[2490].start 21957.78096875
transcript.pyannote[2490].end 21958.38846875
transcript.pyannote[2491].speaker SPEAKER_14
transcript.pyannote[2491].start 21958.81034375
transcript.pyannote[2491].end 21958.89471875
transcript.pyannote[2492].speaker SPEAKER_14
transcript.pyannote[2492].start 21959.28284375
transcript.pyannote[2492].end 21959.68784375
transcript.pyannote[2493].speaker SPEAKER_14
transcript.pyannote[2493].start 21960.31221875
transcript.pyannote[2493].end 21962.45534375
transcript.pyannote[2494].speaker SPEAKER_14
transcript.pyannote[2494].start 21962.89409375
transcript.pyannote[2494].end 21963.94034375
transcript.pyannote[2495].speaker SPEAKER_14
transcript.pyannote[2495].start 21964.93596875
transcript.pyannote[2495].end 21965.91471875
transcript.pyannote[2496].speaker SPEAKER_14
transcript.pyannote[2496].start 21967.28159375
transcript.pyannote[2496].end 21967.73721875
transcript.pyannote[2497].speaker SPEAKER_14
transcript.pyannote[2497].start 21968.42909375
transcript.pyannote[2497].end 21969.39096875
transcript.pyannote[2498].speaker SPEAKER_14
transcript.pyannote[2498].start 21970.35284375
transcript.pyannote[2498].end 21973.05284375
transcript.pyannote[2499].speaker SPEAKER_14
transcript.pyannote[2499].start 21974.40284375
transcript.pyannote[2499].end 21976.02284375
transcript.pyannote[2500].speaker SPEAKER_14
transcript.pyannote[2500].start 21976.17471875
transcript.pyannote[2500].end 21976.59659375
transcript.pyannote[2501].speaker SPEAKER_14
transcript.pyannote[2501].start 21976.95096875
transcript.pyannote[2501].end 21977.76096875
transcript.pyannote[2502].speaker SPEAKER_14
transcript.pyannote[2502].start 21978.45284375
transcript.pyannote[2502].end 21981.49034375
transcript.pyannote[2503].speaker SPEAKER_14
transcript.pyannote[2503].start 21982.75596875
transcript.pyannote[2503].end 21984.67971875
transcript.pyannote[2504].speaker SPEAKER_14
transcript.pyannote[2504].start 21986.62034375
transcript.pyannote[2504].end 21987.02534375
transcript.pyannote[2505].speaker SPEAKER_14
transcript.pyannote[2505].start 21987.56534375
transcript.pyannote[2505].end 21988.27409375
transcript.pyannote[2506].speaker SPEAKER_14
transcript.pyannote[2506].start 21988.76346875
transcript.pyannote[2506].end 21991.19346875
transcript.pyannote[2507].speaker SPEAKER_14
transcript.pyannote[2507].start 21991.51409375
transcript.pyannote[2507].end 21993.84284375
transcript.pyannote[2508].speaker SPEAKER_14
transcript.pyannote[2508].start 21993.91034375
transcript.pyannote[2508].end 21995.17596875
transcript.pyannote[2509].speaker SPEAKER_14
transcript.pyannote[2509].start 21996.59346875
transcript.pyannote[2509].end 21997.57221875
transcript.pyannote[2510].speaker SPEAKER_18
transcript.pyannote[2510].start 21997.82534375
transcript.pyannote[2510].end 22004.67659375
transcript.pyannote[2511].speaker SPEAKER_10
transcript.pyannote[2511].start 22004.42346875
transcript.pyannote[2511].end 22004.82846875
transcript.pyannote[2512].speaker SPEAKER_18
transcript.pyannote[2512].start 22005.16596875
transcript.pyannote[2512].end 22009.50284375
transcript.pyannote[2513].speaker SPEAKER_18
transcript.pyannote[2513].start 22009.85721875
transcript.pyannote[2513].end 22016.08409375
transcript.pyannote[2514].speaker SPEAKER_18
transcript.pyannote[2514].start 22016.70846875
transcript.pyannote[2514].end 22017.29909375
transcript.pyannote[2515].speaker SPEAKER_18
transcript.pyannote[2515].start 22018.17659375
transcript.pyannote[2515].end 22020.01596875
transcript.pyannote[2516].speaker SPEAKER_18
transcript.pyannote[2516].start 22020.52221875
transcript.pyannote[2516].end 22021.95659375
transcript.pyannote[2517].speaker SPEAKER_18
transcript.pyannote[2517].start 22022.22659375
transcript.pyannote[2517].end 22028.55471875
transcript.pyannote[2518].speaker SPEAKER_00
transcript.pyannote[2518].start 22027.54221875
transcript.pyannote[2518].end 22028.01471875
transcript.pyannote[2519].speaker SPEAKER_18
transcript.pyannote[2519].start 22029.04409375
transcript.pyannote[2519].end 22030.09034375
transcript.pyannote[2520].speaker SPEAKER_18
transcript.pyannote[2520].start 22030.79909375
transcript.pyannote[2520].end 22034.34284375
transcript.pyannote[2521].speaker SPEAKER_18
transcript.pyannote[2521].start 22034.86596875
transcript.pyannote[2521].end 22035.67596875
transcript.pyannote[2522].speaker SPEAKER_18
transcript.pyannote[2522].start 22035.86159375
transcript.pyannote[2522].end 22038.24096875
transcript.pyannote[2523].speaker SPEAKER_18
transcript.pyannote[2523].start 22038.56159375
transcript.pyannote[2523].end 22043.77596875
transcript.pyannote[2524].speaker SPEAKER_18
transcript.pyannote[2524].start 22044.14721875
transcript.pyannote[2524].end 22047.42096875
transcript.pyannote[2525].speaker SPEAKER_18
transcript.pyannote[2525].start 22047.92721875
transcript.pyannote[2525].end 22052.73659375
transcript.pyannote[2526].speaker SPEAKER_18
transcript.pyannote[2526].start 22053.25971875
transcript.pyannote[2526].end 22054.30596875
transcript.pyannote[2527].speaker SPEAKER_18
transcript.pyannote[2527].start 22054.47471875
transcript.pyannote[2527].end 22057.78221875
transcript.pyannote[2528].speaker SPEAKER_18
transcript.pyannote[2528].start 22058.35596875
transcript.pyannote[2528].end 22060.53284375
transcript.pyannote[2529].speaker SPEAKER_18
transcript.pyannote[2529].start 22061.25846875
transcript.pyannote[2529].end 22064.54909375
transcript.pyannote[2530].speaker SPEAKER_18
transcript.pyannote[2530].start 22065.15659375
transcript.pyannote[2530].end 22069.94909375
transcript.pyannote[2531].speaker SPEAKER_18
transcript.pyannote[2531].start 22070.37096875
transcript.pyannote[2531].end 22077.17159375
transcript.pyannote[2532].speaker SPEAKER_18
transcript.pyannote[2532].start 22077.88034375
transcript.pyannote[2532].end 22085.60909375
transcript.pyannote[2533].speaker SPEAKER_18
transcript.pyannote[2533].start 22086.25034375
transcript.pyannote[2533].end 22091.65034375
transcript.pyannote[2534].speaker SPEAKER_18
transcript.pyannote[2534].start 22092.20721875
transcript.pyannote[2534].end 22093.15221875
transcript.pyannote[2535].speaker SPEAKER_18
transcript.pyannote[2535].start 22093.87784375
transcript.pyannote[2535].end 22096.76346875
transcript.pyannote[2536].speaker SPEAKER_18
transcript.pyannote[2536].start 22097.42159375
transcript.pyannote[2536].end 22101.92721875
transcript.pyannote[2537].speaker SPEAKER_18
transcript.pyannote[2537].start 22102.65284375
transcript.pyannote[2537].end 22105.06596875
transcript.pyannote[2538].speaker SPEAKER_18
transcript.pyannote[2538].start 22105.80846875
transcript.pyannote[2538].end 22106.33159375
transcript.pyannote[2539].speaker SPEAKER_14
transcript.pyannote[2539].start 22105.97721875
transcript.pyannote[2539].end 22117.58721875
transcript.pyannote[2540].speaker SPEAKER_18
transcript.pyannote[2540].start 22107.93471875
transcript.pyannote[2540].end 22111.36034375
transcript.pyannote[2541].speaker SPEAKER_18
transcript.pyannote[2541].start 22115.83221875
transcript.pyannote[2541].end 22116.27096875
transcript.pyannote[2542].speaker SPEAKER_18
transcript.pyannote[2542].start 22117.51971875
transcript.pyannote[2542].end 22121.04659375
transcript.pyannote[2543].speaker SPEAKER_18
transcript.pyannote[2543].start 22121.77221875
transcript.pyannote[2543].end 22126.86846875
transcript.pyannote[2544].speaker SPEAKER_18
transcript.pyannote[2544].start 22127.37471875
transcript.pyannote[2544].end 22127.89784375
transcript.pyannote[2545].speaker SPEAKER_18
transcript.pyannote[2545].start 22128.55596875
transcript.pyannote[2545].end 22132.08284375
transcript.pyannote[2546].speaker SPEAKER_18
transcript.pyannote[2546].start 22132.30221875
transcript.pyannote[2546].end 22137.28034375
transcript.pyannote[2547].speaker SPEAKER_18
transcript.pyannote[2547].start 22137.66846875
transcript.pyannote[2547].end 22143.91221875
transcript.pyannote[2548].speaker SPEAKER_18
transcript.pyannote[2548].start 22144.46909375
transcript.pyannote[2548].end 22151.86034375
transcript.pyannote[2549].speaker SPEAKER_18
transcript.pyannote[2549].start 22153.07534375
transcript.pyannote[2549].end 22155.08346875
transcript.pyannote[2550].speaker SPEAKER_18
transcript.pyannote[2550].start 22155.43784375
transcript.pyannote[2550].end 22158.44159375
transcript.pyannote[2551].speaker SPEAKER_18
transcript.pyannote[2551].start 22159.08284375
transcript.pyannote[2551].end 22161.07409375
transcript.pyannote[2552].speaker SPEAKER_18
transcript.pyannote[2552].start 22161.46221875
transcript.pyannote[2552].end 22164.63471875
transcript.pyannote[2553].speaker SPEAKER_18
transcript.pyannote[2553].start 22165.02284375
transcript.pyannote[2553].end 22168.04346875
transcript.pyannote[2554].speaker SPEAKER_18
transcript.pyannote[2554].start 22169.03909375
transcript.pyannote[2554].end 22172.61659375
transcript.pyannote[2555].speaker SPEAKER_18
transcript.pyannote[2555].start 22173.05534375
transcript.pyannote[2555].end 22173.49409375
transcript.pyannote[2556].speaker SPEAKER_18
transcript.pyannote[2556].start 22173.98346875
transcript.pyannote[2556].end 22183.95659375
transcript.pyannote[2557].speaker SPEAKER_18
transcript.pyannote[2557].start 22184.41221875
transcript.pyannote[2557].end 22191.19596875
transcript.pyannote[2558].speaker SPEAKER_18
transcript.pyannote[2558].start 22191.51659375
transcript.pyannote[2558].end 22192.63034375
transcript.pyannote[2559].speaker SPEAKER_18
transcript.pyannote[2559].start 22194.04784375
transcript.pyannote[2559].end 22195.53284375
transcript.pyannote[2560].speaker SPEAKER_18
transcript.pyannote[2560].start 22195.87034375
transcript.pyannote[2560].end 22196.25846875
transcript.pyannote[2561].speaker SPEAKER_18
transcript.pyannote[2561].start 22196.73096875
transcript.pyannote[2561].end 22198.04721875
transcript.pyannote[2562].speaker SPEAKER_18
transcript.pyannote[2562].start 22198.43534375
transcript.pyannote[2562].end 22200.51096875
transcript.pyannote[2563].speaker SPEAKER_14
transcript.pyannote[2563].start 22201.35471875
transcript.pyannote[2563].end 22212.82971875
transcript.pyannote[2564].speaker SPEAKER_18
transcript.pyannote[2564].start 22203.83534375
transcript.pyannote[2564].end 22204.94909375
transcript.pyannote[2565].speaker SPEAKER_18
transcript.pyannote[2565].start 22210.61909375
transcript.pyannote[2565].end 22214.85471875
transcript.pyannote[2566].speaker SPEAKER_14
transcript.pyannote[2566].start 22214.36534375
transcript.pyannote[2566].end 22225.97534375
transcript.pyannote[2567].speaker SPEAKER_10
transcript.pyannote[2567].start 22225.97534375
transcript.pyannote[2567].end 22225.99221875
transcript.pyannote[2568].speaker SPEAKER_14
transcript.pyannote[2568].start 22225.99221875
transcript.pyannote[2568].end 22234.96971875
transcript.pyannote[2569].speaker SPEAKER_18
transcript.pyannote[2569].start 22234.90221875
transcript.pyannote[2569].end 22236.31971875
transcript.pyannote[2570].speaker SPEAKER_18
transcript.pyannote[2570].start 22236.53909375
transcript.pyannote[2570].end 22243.40721875
transcript.pyannote[2571].speaker SPEAKER_14
transcript.pyannote[2571].start 22242.83346875
transcript.pyannote[2571].end 22243.37346875
transcript.pyannote[2572].speaker SPEAKER_14
transcript.pyannote[2572].start 22243.40721875
transcript.pyannote[2572].end 22243.96409375
transcript.pyannote[2573].speaker SPEAKER_18
transcript.pyannote[2573].start 22243.96409375
transcript.pyannote[2573].end 22247.40659375
transcript.pyannote[2574].speaker SPEAKER_14
transcript.pyannote[2574].start 22245.07784375
transcript.pyannote[2574].end 22245.31409375
transcript.pyannote[2575].speaker SPEAKER_18
transcript.pyannote[2575].start 22247.87909375
transcript.pyannote[2575].end 22248.31784375
transcript.pyannote[2576].speaker SPEAKER_18
transcript.pyannote[2576].start 22248.95909375
transcript.pyannote[2576].end 22256.53596875
transcript.pyannote[2577].speaker SPEAKER_18
transcript.pyannote[2577].start 22256.90721875
transcript.pyannote[2577].end 22259.59034375
transcript.pyannote[2578].speaker SPEAKER_18
transcript.pyannote[2578].start 22259.79284375
transcript.pyannote[2578].end 22263.35346875
transcript.pyannote[2579].speaker SPEAKER_14
transcript.pyannote[2579].start 22263.43784375
transcript.pyannote[2579].end 22277.69721875
transcript.pyannote[2580].speaker SPEAKER_18
transcript.pyannote[2580].start 22265.47971875
transcript.pyannote[2580].end 22268.36534375
transcript.pyannote[2581].speaker SPEAKER_18
transcript.pyannote[2581].start 22275.38534375
transcript.pyannote[2581].end 22276.11096875
transcript.pyannote[2582].speaker SPEAKER_18
transcript.pyannote[2582].start 22276.12784375
transcript.pyannote[2582].end 22277.37659375
transcript.pyannote[2583].speaker SPEAKER_18
transcript.pyannote[2583].start 22277.69721875
transcript.pyannote[2583].end 22290.55596875
transcript.pyannote[2584].speaker SPEAKER_14
transcript.pyannote[2584].start 22280.81909375
transcript.pyannote[2584].end 22283.82284375
transcript.pyannote[2585].speaker SPEAKER_18
transcript.pyannote[2585].start 22290.77534375
transcript.pyannote[2585].end 22295.71971875
transcript.pyannote[2586].speaker SPEAKER_10
transcript.pyannote[2586].start 22295.71971875
transcript.pyannote[2586].end 22296.04034375
transcript.pyannote[2587].speaker SPEAKER_18
transcript.pyannote[2587].start 22296.04034375
transcript.pyannote[2587].end 22304.41034375
transcript.pyannote[2588].speaker SPEAKER_14
transcript.pyannote[2588].start 22303.75221875
transcript.pyannote[2588].end 22314.50159375
transcript.pyannote[2589].speaker SPEAKER_18
transcript.pyannote[2589].start 22309.37159375
transcript.pyannote[2589].end 22310.31659375
transcript.pyannote[2590].speaker SPEAKER_18
transcript.pyannote[2590].start 22314.48471875
transcript.pyannote[2590].end 22325.72346875
transcript.pyannote[2591].speaker SPEAKER_14
transcript.pyannote[2591].start 22326.38159375
transcript.pyannote[2591].end 22336.25346875
transcript.pyannote[2592].speaker SPEAKER_18
transcript.pyannote[2592].start 22336.82721875
transcript.pyannote[2592].end 22342.14284375
transcript.pyannote[2593].speaker SPEAKER_18
transcript.pyannote[2593].start 22343.44221875
transcript.pyannote[2593].end 22344.57284375
transcript.pyannote[2594].speaker SPEAKER_14
transcript.pyannote[2594].start 22343.66159375
transcript.pyannote[2594].end 22346.49659375
transcript.pyannote[2595].speaker SPEAKER_18
transcript.pyannote[2595].start 22346.02409375
transcript.pyannote[2595].end 22355.49096875
transcript.pyannote[2596].speaker SPEAKER_18
transcript.pyannote[2596].start 22355.57534375
transcript.pyannote[2596].end 22355.98034375
transcript.pyannote[2597].speaker SPEAKER_18
transcript.pyannote[2597].start 22356.55409375
transcript.pyannote[2597].end 22359.54096875
transcript.pyannote[2598].speaker SPEAKER_14
transcript.pyannote[2598].start 22359.82784375
transcript.pyannote[2598].end 22361.48159375
transcript.pyannote[2599].speaker SPEAKER_18
transcript.pyannote[2599].start 22361.17784375
transcript.pyannote[2599].end 22361.41409375
transcript.pyannote[2600].speaker SPEAKER_14
transcript.pyannote[2600].start 22362.00471875
transcript.pyannote[2600].end 22366.64534375
transcript.pyannote[2601].speaker SPEAKER_14
transcript.pyannote[2601].start 22367.11784375
transcript.pyannote[2601].end 22367.77596875
transcript.pyannote[2602].speaker SPEAKER_14
transcript.pyannote[2602].start 22368.13034375
transcript.pyannote[2602].end 22381.57971875
transcript.pyannote[2603].speaker SPEAKER_14
transcript.pyannote[2603].start 22382.67659375
transcript.pyannote[2603].end 22383.09846875
transcript.pyannote[2604].speaker SPEAKER_14
transcript.pyannote[2604].start 22383.31784375
transcript.pyannote[2604].end 22384.66784375
transcript.pyannote[2605].speaker SPEAKER_14
transcript.pyannote[2605].start 22385.35971875
transcript.pyannote[2605].end 22386.79409375
transcript.pyannote[2606].speaker SPEAKER_14
transcript.pyannote[2606].start 22387.80659375
transcript.pyannote[2606].end 22390.05096875
transcript.pyannote[2607].speaker SPEAKER_14
transcript.pyannote[2607].start 22390.84409375
transcript.pyannote[2607].end 22392.10971875
transcript.pyannote[2608].speaker SPEAKER_14
transcript.pyannote[2608].start 22393.83096875
transcript.pyannote[2608].end 22398.04971875
transcript.pyannote[2609].speaker SPEAKER_14
transcript.pyannote[2609].start 22398.82596875
transcript.pyannote[2609].end 22399.61909375
transcript.pyannote[2610].speaker SPEAKER_14
transcript.pyannote[2610].start 22400.64846875
transcript.pyannote[2610].end 22402.62284375
transcript.pyannote[2611].speaker SPEAKER_14
transcript.pyannote[2611].start 22403.70284375
transcript.pyannote[2611].end 22405.37346875
transcript.pyannote[2612].speaker SPEAKER_14
transcript.pyannote[2612].start 22405.86284375
transcript.pyannote[2612].end 22409.35596875
transcript.pyannote[2613].speaker SPEAKER_14
transcript.pyannote[2613].start 22409.96346875
transcript.pyannote[2613].end 22411.22909375
transcript.pyannote[2614].speaker SPEAKER_14
transcript.pyannote[2614].start 22411.98846875
transcript.pyannote[2614].end 22412.95034375
transcript.pyannote[2615].speaker SPEAKER_14
transcript.pyannote[2615].start 22413.84471875
transcript.pyannote[2615].end 22416.03846875
transcript.pyannote[2616].speaker SPEAKER_14
transcript.pyannote[2616].start 22416.22409375
transcript.pyannote[2616].end 22418.40096875
transcript.pyannote[2617].speaker SPEAKER_14
transcript.pyannote[2617].start 22419.21096875
transcript.pyannote[2617].end 22420.39221875
transcript.pyannote[2618].speaker SPEAKER_14
transcript.pyannote[2618].start 22420.67909375
transcript.pyannote[2618].end 22421.69159375
transcript.pyannote[2619].speaker SPEAKER_14
transcript.pyannote[2619].start 22422.33284375
transcript.pyannote[2619].end 22423.61534375
transcript.pyannote[2620].speaker SPEAKER_14
transcript.pyannote[2620].start 22424.32409375
transcript.pyannote[2620].end 22430.48346875
transcript.pyannote[2621].speaker SPEAKER_14
transcript.pyannote[2621].start 22430.78721875
transcript.pyannote[2621].end 22432.08659375
transcript.pyannote[2622].speaker SPEAKER_14
transcript.pyannote[2622].start 22432.96409375
transcript.pyannote[2622].end 22435.54596875
transcript.pyannote[2623].speaker SPEAKER_14
transcript.pyannote[2623].start 22436.65971875
transcript.pyannote[2623].end 22444.69221875
transcript.pyannote[2624].speaker SPEAKER_14
transcript.pyannote[2624].start 22445.75534375
transcript.pyannote[2624].end 22447.93221875
transcript.pyannote[2625].speaker SPEAKER_14
transcript.pyannote[2625].start 22448.86034375
transcript.pyannote[2625].end 22457.02784375
transcript.pyannote[2626].speaker SPEAKER_14
transcript.pyannote[2626].start 22457.24721875
transcript.pyannote[2626].end 22458.19221875
transcript.pyannote[2627].speaker SPEAKER_14
transcript.pyannote[2627].start 22458.46221875
transcript.pyannote[2627].end 22461.38159375
transcript.pyannote[2628].speaker SPEAKER_14
transcript.pyannote[2628].start 22462.03971875
transcript.pyannote[2628].end 22464.26721875
transcript.pyannote[2629].speaker SPEAKER_18
transcript.pyannote[2629].start 22463.11971875
transcript.pyannote[2629].end 22463.55846875
transcript.pyannote[2630].speaker SPEAKER_18
transcript.pyannote[2630].start 22465.11096875
transcript.pyannote[2630].end 22475.45534375
transcript.pyannote[2631].speaker SPEAKER_18
transcript.pyannote[2631].start 22475.70846875
transcript.pyannote[2631].end 22479.21846875
transcript.pyannote[2632].speaker SPEAKER_18
transcript.pyannote[2632].start 22479.60659375
transcript.pyannote[2632].end 22482.66096875
transcript.pyannote[2633].speaker SPEAKER_18
transcript.pyannote[2633].start 22482.86346875
transcript.pyannote[2633].end 22484.41596875
transcript.pyannote[2634].speaker SPEAKER_18
transcript.pyannote[2634].start 22484.93909375
transcript.pyannote[2634].end 22492.71846875
transcript.pyannote[2635].speaker SPEAKER_14
transcript.pyannote[2635].start 22493.07284375
transcript.pyannote[2635].end 22500.41346875
transcript.pyannote[2636].speaker SPEAKER_18
transcript.pyannote[2636].start 22500.36284375
transcript.pyannote[2636].end 22501.45971875
transcript.pyannote[2637].speaker SPEAKER_14
transcript.pyannote[2637].start 22501.45971875
transcript.pyannote[2637].end 22512.66471875
transcript.pyannote[2638].speaker SPEAKER_18
transcript.pyannote[2638].start 22501.61159375
transcript.pyannote[2638].end 22501.84784375
transcript.pyannote[2639].speaker SPEAKER_14
transcript.pyannote[2639].start 22513.66034375
transcript.pyannote[2639].end 22521.96284375
transcript.pyannote[2640].speaker SPEAKER_18
transcript.pyannote[2640].start 22522.48596875
transcript.pyannote[2640].end 22529.60721875
transcript.pyannote[2641].speaker SPEAKER_18
transcript.pyannote[2641].start 22530.09659375
transcript.pyannote[2641].end 22535.42909375
transcript.pyannote[2642].speaker SPEAKER_18
transcript.pyannote[2642].start 22535.86784375
transcript.pyannote[2642].end 22539.36096875
transcript.pyannote[2643].speaker SPEAKER_18
transcript.pyannote[2643].start 22539.76596875
transcript.pyannote[2643].end 22542.41534375
transcript.pyannote[2644].speaker SPEAKER_18
transcript.pyannote[2644].start 22542.95534375
transcript.pyannote[2644].end 22542.98909375
transcript.pyannote[2645].speaker SPEAKER_10
transcript.pyannote[2645].start 22542.98909375
transcript.pyannote[2645].end 22543.20846875
transcript.pyannote[2646].speaker SPEAKER_18
transcript.pyannote[2646].start 22543.20846875
transcript.pyannote[2646].end 22543.22534375
transcript.pyannote[2647].speaker SPEAKER_18
transcript.pyannote[2647].start 22543.29284375
transcript.pyannote[2647].end 22545.68909375
transcript.pyannote[2648].speaker SPEAKER_18
transcript.pyannote[2648].start 22545.89159375
transcript.pyannote[2648].end 22547.42721875
transcript.pyannote[2649].speaker SPEAKER_18
transcript.pyannote[2649].start 22547.91659375
transcript.pyannote[2649].end 22550.19471875
transcript.pyannote[2650].speaker SPEAKER_18
transcript.pyannote[2650].start 22550.59971875
transcript.pyannote[2650].end 22552.64159375
transcript.pyannote[2651].speaker SPEAKER_18
transcript.pyannote[2651].start 22552.87784375
transcript.pyannote[2651].end 22554.07596875
transcript.pyannote[2652].speaker SPEAKER_18
transcript.pyannote[2652].start 22554.44721875
transcript.pyannote[2652].end 22558.19346875
transcript.pyannote[2653].speaker SPEAKER_18
transcript.pyannote[2653].start 22558.54784375
transcript.pyannote[2653].end 22561.06221875
transcript.pyannote[2654].speaker SPEAKER_18
transcript.pyannote[2654].start 22561.53471875
transcript.pyannote[2654].end 22570.32659375
transcript.pyannote[2655].speaker SPEAKER_18
transcript.pyannote[2655].start 22570.59659375
transcript.pyannote[2655].end 22571.76096875
transcript.pyannote[2656].speaker SPEAKER_18
transcript.pyannote[2656].start 22571.96346875
transcript.pyannote[2656].end 22573.70159375
transcript.pyannote[2657].speaker SPEAKER_18
transcript.pyannote[2657].start 22573.71846875
transcript.pyannote[2657].end 22577.54909375
transcript.pyannote[2658].speaker SPEAKER_14
transcript.pyannote[2658].start 22577.75159375
transcript.pyannote[2658].end 22579.47284375
transcript.pyannote[2659].speaker SPEAKER_14
transcript.pyannote[2659].start 22579.86096875
transcript.pyannote[2659].end 22582.44284375
transcript.pyannote[2660].speaker SPEAKER_14
transcript.pyannote[2660].start 22583.01659375
transcript.pyannote[2660].end 22583.97846875
transcript.pyannote[2661].speaker SPEAKER_14
transcript.pyannote[2661].start 22584.26534375
transcript.pyannote[2661].end 22585.78409375
transcript.pyannote[2662].speaker SPEAKER_14
transcript.pyannote[2662].start 22586.71221875
transcript.pyannote[2662].end 22589.66534375
transcript.pyannote[2663].speaker SPEAKER_14
transcript.pyannote[2663].start 22590.69471875
transcript.pyannote[2663].end 22593.42846875
transcript.pyannote[2664].speaker SPEAKER_14
transcript.pyannote[2664].start 22593.83346875
transcript.pyannote[2664].end 22596.46596875
transcript.pyannote[2665].speaker SPEAKER_14
transcript.pyannote[2665].start 22597.10721875
transcript.pyannote[2665].end 22599.19971875
transcript.pyannote[2666].speaker SPEAKER_14
transcript.pyannote[2666].start 22599.84096875
transcript.pyannote[2666].end 22600.60034375
transcript.pyannote[2667].speaker SPEAKER_14
transcript.pyannote[2667].start 22600.78596875
transcript.pyannote[2667].end 22601.83221875
transcript.pyannote[2668].speaker SPEAKER_14
transcript.pyannote[2668].start 22602.22034375
transcript.pyannote[2668].end 22603.48596875
transcript.pyannote[2669].speaker SPEAKER_14
transcript.pyannote[2669].start 22603.90784375
transcript.pyannote[2669].end 22605.81471875
transcript.pyannote[2670].speaker SPEAKER_14
transcript.pyannote[2670].start 22605.96659375
transcript.pyannote[2670].end 22611.33284375
transcript.pyannote[2671].speaker SPEAKER_14
transcript.pyannote[2671].start 22612.19346875
transcript.pyannote[2671].end 22613.59409375
transcript.pyannote[2672].speaker SPEAKER_14
transcript.pyannote[2672].start 22614.28596875
transcript.pyannote[2672].end 22616.37846875
transcript.pyannote[2673].speaker SPEAKER_14
transcript.pyannote[2673].start 22617.39096875
transcript.pyannote[2673].end 22619.36534375
transcript.pyannote[2674].speaker SPEAKER_14
transcript.pyannote[2674].start 22619.90534375
transcript.pyannote[2674].end 22621.18784375
transcript.pyannote[2675].speaker SPEAKER_14
transcript.pyannote[2675].start 22621.79534375
transcript.pyannote[2675].end 22622.80784375
transcript.pyannote[2676].speaker SPEAKER_14
transcript.pyannote[2676].start 22623.28034375
transcript.pyannote[2676].end 22625.81159375
transcript.pyannote[2677].speaker SPEAKER_14
transcript.pyannote[2677].start 22626.92534375
transcript.pyannote[2677].end 22630.40159375
transcript.pyannote[2678].speaker SPEAKER_14
transcript.pyannote[2678].start 22630.80659375
transcript.pyannote[2678].end 22631.80221875
transcript.pyannote[2679].speaker SPEAKER_14
transcript.pyannote[2679].start 22632.78096875
transcript.pyannote[2679].end 22639.59846875
transcript.pyannote[2680].speaker SPEAKER_14
transcript.pyannote[2680].start 22640.20596875
transcript.pyannote[2680].end 22641.62346875
transcript.pyannote[2681].speaker SPEAKER_14
transcript.pyannote[2681].start 22641.92721875
transcript.pyannote[2681].end 22642.78784375
transcript.pyannote[2682].speaker SPEAKER_14
transcript.pyannote[2682].start 22643.85096875
transcript.pyannote[2682].end 22644.32346875
transcript.pyannote[2683].speaker SPEAKER_14
transcript.pyannote[2683].start 22644.99846875
transcript.pyannote[2683].end 22645.55534375
transcript.pyannote[2684].speaker SPEAKER_14
transcript.pyannote[2684].start 22646.29784375
transcript.pyannote[2684].end 22649.87534375
transcript.pyannote[2685].speaker SPEAKER_14
transcript.pyannote[2685].start 22649.97659375
transcript.pyannote[2685].end 22653.95909375
transcript.pyannote[2686].speaker SPEAKER_14
transcript.pyannote[2686].start 22655.49471875
transcript.pyannote[2686].end 22659.54471875
transcript.pyannote[2687].speaker SPEAKER_14
transcript.pyannote[2687].start 22659.94971875
transcript.pyannote[2687].end 22661.09721875
transcript.pyannote[2688].speaker SPEAKER_14
transcript.pyannote[2688].start 22661.50221875
transcript.pyannote[2688].end 22664.10096875
transcript.pyannote[2689].speaker SPEAKER_18
transcript.pyannote[2689].start 22664.57346875
transcript.pyannote[2689].end 22669.09596875
transcript.pyannote[2690].speaker SPEAKER_18
transcript.pyannote[2690].start 22670.05784375
transcript.pyannote[2690].end 22670.42909375
transcript.pyannote[2691].speaker SPEAKER_18
transcript.pyannote[2691].start 22670.71596875
transcript.pyannote[2691].end 22673.04471875
transcript.pyannote[2692].speaker SPEAKER_18
transcript.pyannote[2692].start 22673.61846875
transcript.pyannote[2692].end 22683.70971875
transcript.pyannote[2693].speaker SPEAKER_18
transcript.pyannote[2693].start 22683.76034375
transcript.pyannote[2693].end 22688.01284375
transcript.pyannote[2694].speaker SPEAKER_18
transcript.pyannote[2694].start 22688.38409375
transcript.pyannote[2694].end 22689.56534375
transcript.pyannote[2695].speaker SPEAKER_14
transcript.pyannote[2695].start 22689.56534375
transcript.pyannote[2695].end 22690.49346875
transcript.pyannote[2696].speaker SPEAKER_18
transcript.pyannote[2696].start 22689.80159375
transcript.pyannote[2696].end 22690.61159375
transcript.pyannote[2697].speaker SPEAKER_14
transcript.pyannote[2697].start 22690.61159375
transcript.pyannote[2697].end 22694.35784375
transcript.pyannote[2698].speaker SPEAKER_18
transcript.pyannote[2698].start 22694.29034375
transcript.pyannote[2698].end 22694.34096875
transcript.pyannote[2699].speaker SPEAKER_18
transcript.pyannote[2699].start 22694.35784375
transcript.pyannote[2699].end 22694.54346875
transcript.pyannote[2700].speaker SPEAKER_14
transcript.pyannote[2700].start 22694.54346875
transcript.pyannote[2700].end 22697.32784375
transcript.pyannote[2701].speaker SPEAKER_18
transcript.pyannote[2701].start 22697.49659375
transcript.pyannote[2701].end 22704.82034375
transcript.pyannote[2702].speaker SPEAKER_18
transcript.pyannote[2702].start 22705.09034375
transcript.pyannote[2702].end 22707.60471875
transcript.pyannote[2703].speaker SPEAKER_18
transcript.pyannote[2703].start 22708.04346875
transcript.pyannote[2703].end 22714.30409375
transcript.pyannote[2704].speaker SPEAKER_18
transcript.pyannote[2704].start 22714.84409375
transcript.pyannote[2704].end 22717.59471875
transcript.pyannote[2705].speaker SPEAKER_18
transcript.pyannote[2705].start 22717.78034375
transcript.pyannote[2705].end 22722.15096875
transcript.pyannote[2706].speaker SPEAKER_18
transcript.pyannote[2706].start 22722.80909375
transcript.pyannote[2706].end 22724.04096875
transcript.pyannote[2707].speaker SPEAKER_18
transcript.pyannote[2707].start 22724.63159375
transcript.pyannote[2707].end 22727.78721875
transcript.pyannote[2708].speaker SPEAKER_18
transcript.pyannote[2708].start 22728.24284375
transcript.pyannote[2708].end 22735.00971875
transcript.pyannote[2709].speaker SPEAKER_18
transcript.pyannote[2709].start 22735.49909375
transcript.pyannote[2709].end 22742.40096875
transcript.pyannote[2710].speaker SPEAKER_18
transcript.pyannote[2710].start 22742.87346875
transcript.pyannote[2710].end 22745.25284375
transcript.pyannote[2711].speaker SPEAKER_18
transcript.pyannote[2711].start 22745.62409375
transcript.pyannote[2711].end 22748.56034375
transcript.pyannote[2712].speaker SPEAKER_18
transcript.pyannote[2712].start 22748.62784375
transcript.pyannote[2712].end 22752.35721875
transcript.pyannote[2713].speaker SPEAKER_18
transcript.pyannote[2713].start 22752.89721875
transcript.pyannote[2713].end 22755.12471875
transcript.pyannote[2714].speaker SPEAKER_14
transcript.pyannote[2714].start 22754.75346875
transcript.pyannote[2714].end 22756.15409375
transcript.pyannote[2715].speaker SPEAKER_14
transcript.pyannote[2715].start 22756.71096875
transcript.pyannote[2715].end 22759.10721875
transcript.pyannote[2716].speaker SPEAKER_14
transcript.pyannote[2716].start 22759.46159375
transcript.pyannote[2716].end 22760.42346875
transcript.pyannote[2717].speaker SPEAKER_14
transcript.pyannote[2717].start 22760.67659375
transcript.pyannote[2717].end 22762.07721875
transcript.pyannote[2718].speaker SPEAKER_14
transcript.pyannote[2718].start 22762.43159375
transcript.pyannote[2718].end 22767.67971875
transcript.pyannote[2719].speaker SPEAKER_14
transcript.pyannote[2719].start 22768.05096875
transcript.pyannote[2719].end 22769.58659375
transcript.pyannote[2720].speaker SPEAKER_14
transcript.pyannote[2720].start 22770.59909375
transcript.pyannote[2720].end 22772.99534375
transcript.pyannote[2721].speaker SPEAKER_14
transcript.pyannote[2721].start 22773.36659375
transcript.pyannote[2721].end 22779.37409375
transcript.pyannote[2722].speaker SPEAKER_14
transcript.pyannote[2722].start 22779.79596875
transcript.pyannote[2722].end 22781.98971875
transcript.pyannote[2723].speaker SPEAKER_18
transcript.pyannote[2723].start 22782.29346875
transcript.pyannote[2723].end 22794.37596875
transcript.pyannote[2724].speaker SPEAKER_14
transcript.pyannote[2724].start 22793.80221875
transcript.pyannote[2724].end 22797.05909375
transcript.pyannote[2725].speaker SPEAKER_18
transcript.pyannote[2725].start 22797.17721875
transcript.pyannote[2725].end 22803.96096875
transcript.pyannote[2726].speaker SPEAKER_14
transcript.pyannote[2726].start 22801.83471875
transcript.pyannote[2726].end 22802.27346875
transcript.pyannote[2727].speaker SPEAKER_14
transcript.pyannote[2727].start 22802.98221875
transcript.pyannote[2727].end 22818.06846875
transcript.pyannote[2728].speaker SPEAKER_14
transcript.pyannote[2728].start 22818.30471875
transcript.pyannote[2728].end 22822.59096875
transcript.pyannote[2729].speaker SPEAKER_14
transcript.pyannote[2729].start 22822.96221875
transcript.pyannote[2729].end 22824.44721875
transcript.pyannote[2730].speaker SPEAKER_14
transcript.pyannote[2730].start 22825.56096875
transcript.pyannote[2730].end 22826.08409375
transcript.pyannote[2731].speaker SPEAKER_14
transcript.pyannote[2731].start 22826.64096875
transcript.pyannote[2731].end 22831.23096875
transcript.pyannote[2732].speaker SPEAKER_14
transcript.pyannote[2732].start 22833.27284375
transcript.pyannote[2732].end 22834.08284375
transcript.pyannote[2733].speaker SPEAKER_14
transcript.pyannote[2733].start 22834.40346875
transcript.pyannote[2733].end 22834.42034375
transcript.pyannote[2734].speaker SPEAKER_09
transcript.pyannote[2734].start 22834.42034375
transcript.pyannote[2734].end 22834.84221875
transcript.pyannote[2735].speaker SPEAKER_09
transcript.pyannote[2735].start 22835.77034375
transcript.pyannote[2735].end 22841.00159375
transcript.pyannote[2736].speaker SPEAKER_09
transcript.pyannote[2736].start 22841.72721875
transcript.pyannote[2736].end 22842.01409375
transcript.pyannote[2737].speaker SPEAKER_09
transcript.pyannote[2737].start 22843.63409375
transcript.pyannote[2737].end 22848.13971875
transcript.pyannote[2738].speaker SPEAKER_08
transcript.pyannote[2738].start 22860.18846875
transcript.pyannote[2738].end 22860.55971875
transcript.pyannote[2739].speaker SPEAKER_08
transcript.pyannote[2739].start 22861.43721875
transcript.pyannote[2739].end 22863.83346875
transcript.pyannote[2740].speaker SPEAKER_09
transcript.pyannote[2740].start 22864.25534375
transcript.pyannote[2740].end 22867.68096875
transcript.pyannote[2741].speaker SPEAKER_08
transcript.pyannote[2741].start 22873.31721875
transcript.pyannote[2741].end 22879.44284375
transcript.pyannote[2742].speaker SPEAKER_08
transcript.pyannote[2742].start 22879.71284375
transcript.pyannote[2742].end 22900.72221875
transcript.pyannote[2743].speaker SPEAKER_08
transcript.pyannote[2743].start 22901.22846875
transcript.pyannote[2743].end 22903.84409375
transcript.pyannote[2744].speaker SPEAKER_08
transcript.pyannote[2744].start 22904.58659375
transcript.pyannote[2744].end 22906.57784375
transcript.pyannote[2745].speaker SPEAKER_08
transcript.pyannote[2745].start 22907.37096875
transcript.pyannote[2745].end 22943.85471875
transcript.pyannote[2746].speaker SPEAKER_08
transcript.pyannote[2746].start 22944.32721875
transcript.pyannote[2746].end 22946.58846875
transcript.pyannote[2747].speaker SPEAKER_08
transcript.pyannote[2747].start 22947.04409375
transcript.pyannote[2747].end 22952.30909375
transcript.pyannote[2748].speaker SPEAKER_08
transcript.pyannote[2748].start 22952.71409375
transcript.pyannote[2748].end 22964.03721875
transcript.pyannote[2749].speaker SPEAKER_18
transcript.pyannote[2749].start 22964.40846875
transcript.pyannote[2749].end 22978.41471875
transcript.pyannote[2750].speaker SPEAKER_08
transcript.pyannote[2750].start 22968.45846875
transcript.pyannote[2750].end 22969.48784375
transcript.pyannote[2751].speaker SPEAKER_18
transcript.pyannote[2751].start 22978.61721875
transcript.pyannote[2751].end 22980.35534375
transcript.pyannote[2752].speaker SPEAKER_18
transcript.pyannote[2752].start 22980.59159375
transcript.pyannote[2752].end 22995.81284375
transcript.pyannote[2753].speaker SPEAKER_18
transcript.pyannote[2753].start 22996.04909375
transcript.pyannote[2753].end 23000.48721875
transcript.pyannote[2754].speaker SPEAKER_18
transcript.pyannote[2754].start 23001.01034375
transcript.pyannote[2754].end 23020.97346875
transcript.pyannote[2755].speaker SPEAKER_08
transcript.pyannote[2755].start 23020.97346875
transcript.pyannote[2755].end 23025.02346875
transcript.pyannote[2756].speaker SPEAKER_08
transcript.pyannote[2756].start 23025.12471875
transcript.pyannote[2756].end 23028.60096875
transcript.pyannote[2757].speaker SPEAKER_18
transcript.pyannote[2757].start 23029.51221875
transcript.pyannote[2757].end 23042.11784375
transcript.pyannote[2758].speaker SPEAKER_08
transcript.pyannote[2758].start 23031.55409375
transcript.pyannote[2758].end 23032.14471875
transcript.pyannote[2759].speaker SPEAKER_08
transcript.pyannote[2759].start 23032.51596875
transcript.pyannote[2759].end 23033.96721875
transcript.pyannote[2760].speaker SPEAKER_08
transcript.pyannote[2760].start 23034.05159375
transcript.pyannote[2760].end 23034.10221875
transcript.pyannote[2761].speaker SPEAKER_08
transcript.pyannote[2761].start 23042.11784375
transcript.pyannote[2761].end 23042.21909375
transcript.pyannote[2762].speaker SPEAKER_18
transcript.pyannote[2762].start 23042.21909375
transcript.pyannote[2762].end 23042.43846875
transcript.pyannote[2763].speaker SPEAKER_08
transcript.pyannote[2763].start 23042.43846875
transcript.pyannote[2763].end 23042.86034375
transcript.pyannote[2764].speaker SPEAKER_18
transcript.pyannote[2764].start 23042.86034375
transcript.pyannote[2764].end 23042.94471875
transcript.pyannote[2765].speaker SPEAKER_08
transcript.pyannote[2765].start 23042.94471875
transcript.pyannote[2765].end 23042.96159375
transcript.pyannote[2766].speaker SPEAKER_18
transcript.pyannote[2766].start 23042.96159375
transcript.pyannote[2766].end 23042.97846875
transcript.pyannote[2767].speaker SPEAKER_08
transcript.pyannote[2767].start 23042.97846875
transcript.pyannote[2767].end 23072.32409375
transcript.pyannote[2768].speaker SPEAKER_08
transcript.pyannote[2768].start 23072.86409375
transcript.pyannote[2768].end 23089.08096875
transcript.pyannote[2769].speaker SPEAKER_08
transcript.pyannote[2769].start 23089.43534375
transcript.pyannote[2769].end 23098.98659375
transcript.pyannote[2770].speaker SPEAKER_08
transcript.pyannote[2770].start 23099.42534375
transcript.pyannote[2770].end 23106.41159375
transcript.pyannote[2771].speaker SPEAKER_08
transcript.pyannote[2771].start 23106.85034375
transcript.pyannote[2771].end 23121.95346875
transcript.pyannote[2772].speaker SPEAKER_18
transcript.pyannote[2772].start 23121.95346875
transcript.pyannote[2772].end 23121.97034375
transcript.pyannote[2773].speaker SPEAKER_18
transcript.pyannote[2773].start 23122.45971875
transcript.pyannote[2773].end 23131.38659375
transcript.pyannote[2774].speaker SPEAKER_18
transcript.pyannote[2774].start 23131.67346875
transcript.pyannote[2774].end 23152.93596875
transcript.pyannote[2775].speaker SPEAKER_10
transcript.pyannote[2775].start 23143.40159375
transcript.pyannote[2775].end 23143.62096875
transcript.pyannote[2776].speaker SPEAKER_08
transcript.pyannote[2776].start 23152.21034375
transcript.pyannote[2776].end 23154.04971875
transcript.pyannote[2777].speaker SPEAKER_08
transcript.pyannote[2777].start 23154.10034375
transcript.pyannote[2777].end 23167.51596875
transcript.pyannote[2778].speaker SPEAKER_10
transcript.pyannote[2778].start 23167.97159375
transcript.pyannote[2778].end 23168.25846875
transcript.pyannote[2779].speaker SPEAKER_18
transcript.pyannote[2779].start 23168.24159375
transcript.pyannote[2779].end 23170.51971875
transcript.pyannote[2780].speaker SPEAKER_08
transcript.pyannote[2780].start 23168.25846875
transcript.pyannote[2780].end 23168.29221875
transcript.pyannote[2781].speaker SPEAKER_18
transcript.pyannote[2781].start 23170.92471875
transcript.pyannote[2781].end 23178.21471875
transcript.pyannote[2782].speaker SPEAKER_18
transcript.pyannote[2782].start 23178.80534375
transcript.pyannote[2782].end 23182.02846875
transcript.pyannote[2783].speaker SPEAKER_18
transcript.pyannote[2783].start 23182.38284375
transcript.pyannote[2783].end 23184.88034375
transcript.pyannote[2784].speaker SPEAKER_08
transcript.pyannote[2784].start 23183.49659375
transcript.pyannote[2784].end 23195.89971875
transcript.pyannote[2785].speaker SPEAKER_08
transcript.pyannote[2785].start 23196.49034375
transcript.pyannote[2785].end 23196.50721875
transcript.pyannote[2786].speaker SPEAKER_18
transcript.pyannote[2786].start 23196.50721875
transcript.pyannote[2786].end 23201.16471875
transcript.pyannote[2787].speaker SPEAKER_18
transcript.pyannote[2787].start 23201.48534375
transcript.pyannote[2787].end 23202.09284375
transcript.pyannote[2788].speaker SPEAKER_08
transcript.pyannote[2788].start 23202.09284375
transcript.pyannote[2788].end 23205.40034375
transcript.pyannote[2789].speaker SPEAKER_18
transcript.pyannote[2789].start 23202.95346875
transcript.pyannote[2789].end 23213.11221875
transcript.pyannote[2790].speaker SPEAKER_18
transcript.pyannote[2790].start 23213.63534375
transcript.pyannote[2790].end 23224.90784375
transcript.pyannote[2791].speaker SPEAKER_08
transcript.pyannote[2791].start 23218.14096875
transcript.pyannote[2791].end 23219.57534375
transcript.pyannote[2792].speaker SPEAKER_08
transcript.pyannote[2792].start 23221.51596875
transcript.pyannote[2792].end 23221.92096875
transcript.pyannote[2793].speaker SPEAKER_08
transcript.pyannote[2793].start 23222.32596875
transcript.pyannote[2793].end 23224.84034375
transcript.pyannote[2794].speaker SPEAKER_08
transcript.pyannote[2794].start 23224.90784375
transcript.pyannote[2794].end 23225.26221875
transcript.pyannote[2795].speaker SPEAKER_18
transcript.pyannote[2795].start 23225.26221875
transcript.pyannote[2795].end 23236.72034375
transcript.pyannote[2796].speaker SPEAKER_08
transcript.pyannote[2796].start 23235.30284375
transcript.pyannote[2796].end 23243.45346875
transcript.pyannote[2797].speaker SPEAKER_18
transcript.pyannote[2797].start 23243.97659375
transcript.pyannote[2797].end 23254.70909375
transcript.pyannote[2798].speaker SPEAKER_08
transcript.pyannote[2798].start 23248.85346875
transcript.pyannote[2798].end 23249.61284375
transcript.pyannote[2799].speaker SPEAKER_08
transcript.pyannote[2799].start 23254.69221875
transcript.pyannote[2799].end 23266.77471875
transcript.pyannote[2800].speaker SPEAKER_18
transcript.pyannote[2800].start 23254.74284375
transcript.pyannote[2800].end 23255.50221875
transcript.pyannote[2801].speaker SPEAKER_18
transcript.pyannote[2801].start 23256.66659375
transcript.pyannote[2801].end 23259.60284375
transcript.pyannote[2802].speaker SPEAKER_08
transcript.pyannote[2802].start 23267.21346875
transcript.pyannote[2802].end 23277.22034375
transcript.pyannote[2803].speaker SPEAKER_08
transcript.pyannote[2803].start 23277.96284375
transcript.pyannote[2803].end 23279.02596875
transcript.pyannote[2804].speaker SPEAKER_08
transcript.pyannote[2804].start 23280.05534375
transcript.pyannote[2804].end 23298.92159375
transcript.pyannote[2805].speaker SPEAKER_08
transcript.pyannote[2805].start 23299.64721875
transcript.pyannote[2805].end 23300.35596875
transcript.pyannote[2806].speaker SPEAKER_18
transcript.pyannote[2806].start 23300.35596875
transcript.pyannote[2806].end 23300.38971875
transcript.pyannote[2807].speaker SPEAKER_08
transcript.pyannote[2807].start 23300.92971875
transcript.pyannote[2807].end 23301.03096875
transcript.pyannote[2808].speaker SPEAKER_18
transcript.pyannote[2808].start 23301.03096875
transcript.pyannote[2808].end 23302.11096875
transcript.pyannote[2809].speaker SPEAKER_08
transcript.pyannote[2809].start 23302.85346875
transcript.pyannote[2809].end 23302.87034375
transcript.pyannote[2810].speaker SPEAKER_18
transcript.pyannote[2810].start 23302.87034375
transcript.pyannote[2810].end 23304.33846875
transcript.pyannote[2811].speaker SPEAKER_18
transcript.pyannote[2811].start 23304.74346875
transcript.pyannote[2811].end 23308.13534375
transcript.pyannote[2812].speaker SPEAKER_08
transcript.pyannote[2812].start 23308.62471875
transcript.pyannote[2812].end 23310.73409375
transcript.pyannote[2813].speaker SPEAKER_18
transcript.pyannote[2813].start 23308.92846875
transcript.pyannote[2813].end 23309.56971875
transcript.pyannote[2814].speaker SPEAKER_18
transcript.pyannote[2814].start 23310.73409375
transcript.pyannote[2814].end 23310.97034375
transcript.pyannote[2815].speaker SPEAKER_08
transcript.pyannote[2815].start 23310.97034375
transcript.pyannote[2815].end 23315.42534375
transcript.pyannote[2816].speaker SPEAKER_18
transcript.pyannote[2816].start 23313.38346875
transcript.pyannote[2816].end 23319.30659375
transcript.pyannote[2817].speaker SPEAKER_18
transcript.pyannote[2817].start 23319.69471875
transcript.pyannote[2817].end 23321.46659375
transcript.pyannote[2818].speaker SPEAKER_18
transcript.pyannote[2818].start 23321.63534375
transcript.pyannote[2818].end 23329.34721875
transcript.pyannote[2819].speaker SPEAKER_08
transcript.pyannote[2819].start 23329.34721875
transcript.pyannote[2819].end 23342.12159375
transcript.pyannote[2820].speaker SPEAKER_18
transcript.pyannote[2820].start 23329.39784375
transcript.pyannote[2820].end 23329.70159375
transcript.pyannote[2821].speaker SPEAKER_08
transcript.pyannote[2821].start 23342.23971875
transcript.pyannote[2821].end 23344.07909375
transcript.pyannote[2822].speaker SPEAKER_08
transcript.pyannote[2822].start 23344.46721875
transcript.pyannote[2822].end 23354.01846875
transcript.pyannote[2823].speaker SPEAKER_18
transcript.pyannote[2823].start 23354.01846875
transcript.pyannote[2823].end 23354.03534375
transcript.pyannote[2824].speaker SPEAKER_18
transcript.pyannote[2824].start 23354.74409375
transcript.pyannote[2824].end 23360.54909375
transcript.pyannote[2825].speaker SPEAKER_18
transcript.pyannote[2825].start 23360.86971875
transcript.pyannote[2825].end 23367.55221875
transcript.pyannote[2826].speaker SPEAKER_00
transcript.pyannote[2826].start 23361.10596875
transcript.pyannote[2826].end 23361.30846875
transcript.pyannote[2827].speaker SPEAKER_18
transcript.pyannote[2827].start 23368.32846875
transcript.pyannote[2827].end 23373.07034375
transcript.pyannote[2828].speaker SPEAKER_08
transcript.pyannote[2828].start 23372.54721875
transcript.pyannote[2828].end 23373.01971875
transcript.pyannote[2829].speaker SPEAKER_08
transcript.pyannote[2829].start 23373.07034375
transcript.pyannote[2829].end 23373.13784375
transcript.pyannote[2830].speaker SPEAKER_18
transcript.pyannote[2830].start 23373.13784375
transcript.pyannote[2830].end 23373.79596875
transcript.pyannote[2831].speaker SPEAKER_08
transcript.pyannote[2831].start 23373.79596875
transcript.pyannote[2831].end 23374.01534375
transcript.pyannote[2832].speaker SPEAKER_18
transcript.pyannote[2832].start 23374.01534375
transcript.pyannote[2832].end 23374.03221875
transcript.pyannote[2833].speaker SPEAKER_08
transcript.pyannote[2833].start 23374.03221875
transcript.pyannote[2833].end 23375.55096875
transcript.pyannote[2834].speaker SPEAKER_08
transcript.pyannote[2834].start 23376.14159375
transcript.pyannote[2834].end 23385.05159375
transcript.pyannote[2835].speaker SPEAKER_08
transcript.pyannote[2835].start 23385.72659375
transcript.pyannote[2835].end 23394.02909375
transcript.pyannote[2836].speaker SPEAKER_18
transcript.pyannote[2836].start 23394.82221875
transcript.pyannote[2836].end 23401.03221875
transcript.pyannote[2837].speaker SPEAKER_08
transcript.pyannote[2837].start 23401.03221875
transcript.pyannote[2837].end 23429.33159375
transcript.pyannote[2838].speaker SPEAKER_18
transcript.pyannote[2838].start 23401.40346875
transcript.pyannote[2838].end 23401.87596875
transcript.pyannote[2839].speaker SPEAKER_08
transcript.pyannote[2839].start 23430.09096875
transcript.pyannote[2839].end 23432.75721875
transcript.pyannote[2840].speaker SPEAKER_08
transcript.pyannote[2840].start 23433.73596875
transcript.pyannote[2840].end 23436.18284375
transcript.pyannote[2841].speaker SPEAKER_08
transcript.pyannote[2841].start 23436.30096875
transcript.pyannote[2841].end 23444.31659375
transcript.pyannote[2842].speaker SPEAKER_08
transcript.pyannote[2842].start 23445.48096875
transcript.pyannote[2842].end 23445.86909375
transcript.pyannote[2843].speaker SPEAKER_18
transcript.pyannote[2843].start 23447.28659375
transcript.pyannote[2843].end 23449.09221875
transcript.pyannote[2844].speaker SPEAKER_18
transcript.pyannote[2844].start 23449.32846875
transcript.pyannote[2844].end 23449.34534375
transcript.pyannote[2845].speaker SPEAKER_08
transcript.pyannote[2845].start 23449.34534375
transcript.pyannote[2845].end 23450.49284375
transcript.pyannote[2846].speaker SPEAKER_18
transcript.pyannote[2846].start 23449.36221875
transcript.pyannote[2846].end 23451.58971875
transcript.pyannote[2847].speaker SPEAKER_08
transcript.pyannote[2847].start 23451.21846875
transcript.pyannote[2847].end 23460.09471875
transcript.pyannote[2848].speaker SPEAKER_08
transcript.pyannote[2848].start 23460.55034375
transcript.pyannote[2848].end 23463.60471875
transcript.pyannote[2849].speaker SPEAKER_08
transcript.pyannote[2849].start 23464.48221875
transcript.pyannote[2849].end 23477.98221875
transcript.pyannote[2850].speaker SPEAKER_08
transcript.pyannote[2850].start 23479.02846875
transcript.pyannote[2850].end 23483.24721875
transcript.pyannote[2851].speaker SPEAKER_08
transcript.pyannote[2851].start 23483.66909375
transcript.pyannote[2851].end 23485.71096875
transcript.pyannote[2852].speaker SPEAKER_08
transcript.pyannote[2852].start 23486.21721875
transcript.pyannote[2852].end 23498.58659375
transcript.pyannote[2853].speaker SPEAKER_08
transcript.pyannote[2853].start 23498.70471875
transcript.pyannote[2853].end 23503.98659375
transcript.pyannote[2854].speaker SPEAKER_08
transcript.pyannote[2854].start 23504.44221875
transcript.pyannote[2854].end 23512.13721875
transcript.pyannote[2855].speaker SPEAKER_08
transcript.pyannote[2855].start 23512.64346875
transcript.pyannote[2855].end 23514.16221875
transcript.pyannote[2856].speaker SPEAKER_08
transcript.pyannote[2856].start 23514.70221875
transcript.pyannote[2856].end 23516.91284375
transcript.pyannote[2857].speaker SPEAKER_08
transcript.pyannote[2857].start 23517.09846875
transcript.pyannote[2857].end 23521.94159375
transcript.pyannote[2858].speaker SPEAKER_08
transcript.pyannote[2858].start 23522.70096875
transcript.pyannote[2858].end 23523.42659375
transcript.pyannote[2859].speaker SPEAKER_18
transcript.pyannote[2859].start 23523.42659375
transcript.pyannote[2859].end 23535.03659375
transcript.pyannote[2860].speaker SPEAKER_08
transcript.pyannote[2860].start 23523.44346875
transcript.pyannote[2860].end 23523.76409375
transcript.pyannote[2861].speaker SPEAKER_18
transcript.pyannote[2861].start 23535.47534375
transcript.pyannote[2861].end 23540.13284375
transcript.pyannote[2862].speaker SPEAKER_18
transcript.pyannote[2862].start 23540.41971875
transcript.pyannote[2862].end 23550.20721875
transcript.pyannote[2863].speaker SPEAKER_08
transcript.pyannote[2863].start 23548.33409375
transcript.pyannote[2863].end 23554.35846875
transcript.pyannote[2864].speaker SPEAKER_08
transcript.pyannote[2864].start 23555.01659375
transcript.pyannote[2864].end 23557.71659375
transcript.pyannote[2865].speaker SPEAKER_08
transcript.pyannote[2865].start 23558.02034375
transcript.pyannote[2865].end 23570.15346875
transcript.pyannote[2866].speaker SPEAKER_08
transcript.pyannote[2866].start 23570.99721875
transcript.pyannote[2866].end 23573.00534375
transcript.pyannote[2867].speaker SPEAKER_08
transcript.pyannote[2867].start 23573.57909375
transcript.pyannote[2867].end 23573.93346875
transcript.pyannote[2868].speaker SPEAKER_08
transcript.pyannote[2868].start 23574.16971875
transcript.pyannote[2868].end 23575.31721875
transcript.pyannote[2869].speaker SPEAKER_08
transcript.pyannote[2869].start 23575.72221875
transcript.pyannote[2869].end 23592.54659375
transcript.pyannote[2870].speaker SPEAKER_08
transcript.pyannote[2870].start 23593.08659375
transcript.pyannote[2870].end 23594.92596875
transcript.pyannote[2871].speaker SPEAKER_08
transcript.pyannote[2871].start 23595.60096875
transcript.pyannote[2871].end 23598.13221875
transcript.pyannote[2872].speaker SPEAKER_08
transcript.pyannote[2872].start 23598.80721875
transcript.pyannote[2872].end 23602.48596875
transcript.pyannote[2873].speaker SPEAKER_08
transcript.pyannote[2873].start 23603.59971875
transcript.pyannote[2873].end 23608.79721875
transcript.pyannote[2874].speaker SPEAKER_08
transcript.pyannote[2874].start 23610.23159375
transcript.pyannote[2874].end 23615.83409375
transcript.pyannote[2875].speaker SPEAKER_08
transcript.pyannote[2875].start 23617.01534375
transcript.pyannote[2875].end 23632.69221875
transcript.pyannote[2876].speaker SPEAKER_08
transcript.pyannote[2876].start 23634.09284375
transcript.pyannote[2876].end 23639.05409375
transcript.pyannote[2877].speaker SPEAKER_08
transcript.pyannote[2877].start 23639.12159375
transcript.pyannote[2877].end 23651.03534375
transcript.pyannote[2878].speaker SPEAKER_18
transcript.pyannote[2878].start 23651.03534375
transcript.pyannote[2878].end 23651.17034375
transcript.pyannote[2879].speaker SPEAKER_08
transcript.pyannote[2879].start 23651.17034375
transcript.pyannote[2879].end 23651.20409375
transcript.pyannote[2880].speaker SPEAKER_18
transcript.pyannote[2880].start 23651.65971875
transcript.pyannote[2880].end 23663.33721875
transcript.pyannote[2881].speaker SPEAKER_18
transcript.pyannote[2881].start 23663.60721875
transcript.pyannote[2881].end 23670.89721875
transcript.pyannote[2882].speaker SPEAKER_18
transcript.pyannote[2882].start 23671.62284375
transcript.pyannote[2882].end 23679.38534375
transcript.pyannote[2883].speaker SPEAKER_18
transcript.pyannote[2883].start 23680.22909375
transcript.pyannote[2883].end 23686.40534375
transcript.pyannote[2884].speaker SPEAKER_08
transcript.pyannote[2884].start 23684.59971875
transcript.pyannote[2884].end 23685.08909375
transcript.pyannote[2885].speaker SPEAKER_08
transcript.pyannote[2885].start 23686.03409375
transcript.pyannote[2885].end 23686.32096875
transcript.pyannote[2886].speaker SPEAKER_08
transcript.pyannote[2886].start 23686.40534375
transcript.pyannote[2886].end 23709.70971875
transcript.pyannote[2887].speaker SPEAKER_18
transcript.pyannote[2887].start 23686.50659375
transcript.pyannote[2887].end 23686.97909375
transcript.pyannote[2888].speaker SPEAKER_08
transcript.pyannote[2888].start 23709.81096875
transcript.pyannote[2888].end 23711.29596875
transcript.pyannote[2889].speaker SPEAKER_18
transcript.pyannote[2889].start 23709.97971875
transcript.pyannote[2889].end 23716.47659375
transcript.pyannote[2890].speaker SPEAKER_08
transcript.pyannote[2890].start 23714.46846875
transcript.pyannote[2890].end 23715.31221875
transcript.pyannote[2891].speaker SPEAKER_08
transcript.pyannote[2891].start 23716.56096875
transcript.pyannote[2891].end 23716.84784375
transcript.pyannote[2892].speaker SPEAKER_08
transcript.pyannote[2892].start 23717.21909375
transcript.pyannote[2892].end 23717.65784375
transcript.pyannote[2893].speaker SPEAKER_08
transcript.pyannote[2893].start 23718.75471875
transcript.pyannote[2893].end 23721.48846875
transcript.pyannote[2894].speaker SPEAKER_08
transcript.pyannote[2894].start 23721.67409375
transcript.pyannote[2894].end 23723.07471875
transcript.pyannote[2895].speaker SPEAKER_08
transcript.pyannote[2895].start 23723.20971875
transcript.pyannote[2895].end 23726.65221875
transcript.pyannote[2896].speaker SPEAKER_08
transcript.pyannote[2896].start 23727.47909375
transcript.pyannote[2896].end 23729.03159375
transcript.pyannote[2897].speaker SPEAKER_18
transcript.pyannote[2897].start 23729.03159375
transcript.pyannote[2897].end 23730.85409375
transcript.pyannote[2898].speaker SPEAKER_08
transcript.pyannote[2898].start 23730.06096875
transcript.pyannote[2898].end 23732.65971875
transcript.pyannote[2899].speaker SPEAKER_18
transcript.pyannote[2899].start 23732.13659375
transcript.pyannote[2899].end 23736.37221875
transcript.pyannote[2900].speaker SPEAKER_08
transcript.pyannote[2900].start 23733.45284375
transcript.pyannote[2900].end 23735.15721875
transcript.pyannote[2901].speaker SPEAKER_08
transcript.pyannote[2901].start 23735.95034375
transcript.pyannote[2901].end 23736.35534375
transcript.pyannote[2902].speaker SPEAKER_08
transcript.pyannote[2902].start 23736.37221875
transcript.pyannote[2902].end 23738.02596875
transcript.pyannote[2903].speaker SPEAKER_18
transcript.pyannote[2903].start 23738.02596875
transcript.pyannote[2903].end 23749.83846875
transcript.pyannote[2904].speaker SPEAKER_08
transcript.pyannote[2904].start 23746.34534375
transcript.pyannote[2904].end 23746.69971875
transcript.pyannote[2905].speaker SPEAKER_08
transcript.pyannote[2905].start 23748.13409375
transcript.pyannote[2905].end 23755.93034375
transcript.pyannote[2906].speaker SPEAKER_18
transcript.pyannote[2906].start 23754.32721875
transcript.pyannote[2906].end 23757.90471875
transcript.pyannote[2907].speaker SPEAKER_08
transcript.pyannote[2907].start 23758.09034375
transcript.pyannote[2907].end 23771.28659375
transcript.pyannote[2908].speaker SPEAKER_18
transcript.pyannote[2908].start 23767.43909375
transcript.pyannote[2908].end 23768.26596875
transcript.pyannote[2909].speaker SPEAKER_18
transcript.pyannote[2909].start 23769.59909375
transcript.pyannote[2909].end 23785.37721875
transcript.pyannote[2910].speaker SPEAKER_08
transcript.pyannote[2910].start 23775.48846875
transcript.pyannote[2910].end 23776.07909375
transcript.pyannote[2911].speaker SPEAKER_18
transcript.pyannote[2911].start 23786.01846875
transcript.pyannote[2911].end 23786.96346875
transcript.pyannote[2912].speaker SPEAKER_08
transcript.pyannote[2912].start 23786.96346875
transcript.pyannote[2912].end 23788.26284375
transcript.pyannote[2913].speaker SPEAKER_18
transcript.pyannote[2913].start 23787.63846875
transcript.pyannote[2913].end 23788.44846875
transcript.pyannote[2914].speaker SPEAKER_08
transcript.pyannote[2914].start 23788.44846875
transcript.pyannote[2914].end 23791.97534375
transcript.pyannote[2915].speaker SPEAKER_18
transcript.pyannote[2915].start 23791.60409375
transcript.pyannote[2915].end 23801.08784375
transcript.pyannote[2916].speaker SPEAKER_08
transcript.pyannote[2916].start 23801.30721875
transcript.pyannote[2916].end 23815.46534375
transcript.pyannote[2917].speaker SPEAKER_18
transcript.pyannote[2917].start 23802.01596875
transcript.pyannote[2917].end 23802.38721875
transcript.pyannote[2918].speaker SPEAKER_18
transcript.pyannote[2918].start 23804.93534375
transcript.pyannote[2918].end 23807.65221875
transcript.pyannote[2919].speaker SPEAKER_18
transcript.pyannote[2919].start 23807.97284375
transcript.pyannote[2919].end 23810.33534375
transcript.pyannote[2920].speaker SPEAKER_18
transcript.pyannote[2920].start 23811.55034375
transcript.pyannote[2920].end 23813.67659375
transcript.pyannote[2921].speaker SPEAKER_18
transcript.pyannote[2921].start 23813.69346875
transcript.pyannote[2921].end 23813.79471875
transcript.pyannote[2922].speaker SPEAKER_18
transcript.pyannote[2922].start 23813.81159375
transcript.pyannote[2922].end 23829.75846875
transcript.pyannote[2923].speaker SPEAKER_18
transcript.pyannote[2923].start 23830.26471875
transcript.pyannote[2923].end 23832.96471875
transcript.pyannote[2924].speaker SPEAKER_08
transcript.pyannote[2924].start 23832.96471875
transcript.pyannote[2924].end 23851.83096875
transcript.pyannote[2925].speaker SPEAKER_18
transcript.pyannote[2925].start 23835.31034375
transcript.pyannote[2925].end 23836.42409375
transcript.pyannote[2926].speaker SPEAKER_10
transcript.pyannote[2926].start 23836.42409375
transcript.pyannote[2926].end 23836.44096875
transcript.pyannote[2927].speaker SPEAKER_08
transcript.pyannote[2927].start 23852.28659375
transcript.pyannote[2927].end 23853.02909375
transcript.pyannote[2928].speaker SPEAKER_08
transcript.pyannote[2928].start 23853.67034375
transcript.pyannote[2928].end 23860.47096875
transcript.pyannote[2929].speaker SPEAKER_08
transcript.pyannote[2929].start 23860.52159375
transcript.pyannote[2929].end 23862.25971875
transcript.pyannote[2930].speaker SPEAKER_08
transcript.pyannote[2930].start 23863.25534375
transcript.pyannote[2930].end 23870.59596875
transcript.pyannote[2931].speaker SPEAKER_08
transcript.pyannote[2931].start 23871.45659375
transcript.pyannote[2931].end 23880.24846875
transcript.pyannote[2932].speaker SPEAKER_18
transcript.pyannote[2932].start 23874.44346875
transcript.pyannote[2932].end 23875.70909375
transcript.pyannote[2933].speaker SPEAKER_18
transcript.pyannote[2933].start 23878.18971875
transcript.pyannote[2933].end 23885.69909375
transcript.pyannote[2934].speaker SPEAKER_08
transcript.pyannote[2934].start 23884.02846875
transcript.pyannote[2934].end 23884.55159375
transcript.pyannote[2935].speaker SPEAKER_18
transcript.pyannote[2935].start 23885.85096875
transcript.pyannote[2935].end 23895.75659375
transcript.pyannote[2936].speaker SPEAKER_08
transcript.pyannote[2936].start 23885.91846875
transcript.pyannote[2936].end 23887.16721875
transcript.pyannote[2937].speaker SPEAKER_08
transcript.pyannote[2937].start 23894.82846875
transcript.pyannote[2937].end 23895.36846875
transcript.pyannote[2938].speaker SPEAKER_08
transcript.pyannote[2938].start 23895.75659375
transcript.pyannote[2938].end 23895.79034375
transcript.pyannote[2939].speaker SPEAKER_18
transcript.pyannote[2939].start 23895.79034375
transcript.pyannote[2939].end 23895.84096875
transcript.pyannote[2940].speaker SPEAKER_08
transcript.pyannote[2940].start 23895.84096875
transcript.pyannote[2940].end 23899.65471875
transcript.pyannote[2941].speaker SPEAKER_08
transcript.pyannote[2941].start 23900.12721875
transcript.pyannote[2941].end 23903.08034375
transcript.pyannote[2942].speaker SPEAKER_08
transcript.pyannote[2942].start 23903.36721875
transcript.pyannote[2942].end 23903.94096875
transcript.pyannote[2943].speaker SPEAKER_08
transcript.pyannote[2943].start 23904.32909375
transcript.pyannote[2943].end 23908.22721875
transcript.pyannote[2944].speaker SPEAKER_18
transcript.pyannote[2944].start 23908.22721875
transcript.pyannote[2944].end 23915.46659375
transcript.pyannote[2945].speaker SPEAKER_08
transcript.pyannote[2945].start 23914.79159375
transcript.pyannote[2945].end 23926.82346875
transcript.pyannote[2946].speaker SPEAKER_08
transcript.pyannote[2946].start 23927.97096875
transcript.pyannote[2946].end 23934.33284375
transcript.pyannote[2947].speaker SPEAKER_08
transcript.pyannote[2947].start 23934.68721875
transcript.pyannote[2947].end 23939.00721875
transcript.pyannote[2948].speaker SPEAKER_08
transcript.pyannote[2948].start 23939.26034375
transcript.pyannote[2948].end 23956.10159375
transcript.pyannote[2949].speaker SPEAKER_08
transcript.pyannote[2949].start 23956.70909375
transcript.pyannote[2949].end 23962.81784375
transcript.pyannote[2950].speaker SPEAKER_18
transcript.pyannote[2950].start 23963.44221875
transcript.pyannote[2950].end 23978.17409375
transcript.pyannote[2951].speaker SPEAKER_08
transcript.pyannote[2951].start 23971.22159375
transcript.pyannote[2951].end 23972.18346875
transcript.pyannote[2952].speaker SPEAKER_18
transcript.pyannote[2952].start 23978.49471875
transcript.pyannote[2952].end 23981.22846875
transcript.pyannote[2953].speaker SPEAKER_08
transcript.pyannote[2953].start 23981.22846875
transcript.pyannote[2953].end 23994.30659375
transcript.pyannote[2954].speaker SPEAKER_18
transcript.pyannote[2954].start 23981.66721875
transcript.pyannote[2954].end 23982.17346875
transcript.pyannote[2955].speaker SPEAKER_18
transcript.pyannote[2955].start 23986.29096875
transcript.pyannote[2955].end 23987.26971875
transcript.pyannote[2956].speaker SPEAKER_03
transcript.pyannote[2956].start 23987.26971875
transcript.pyannote[2956].end 23987.28659375
transcript.pyannote[2957].speaker SPEAKER_18
transcript.pyannote[2957].start 23989.05846875
transcript.pyannote[2957].end 23990.98221875
transcript.pyannote[2958].speaker SPEAKER_18
transcript.pyannote[2958].start 23992.82159375
transcript.pyannote[2958].end 24003.25034375
transcript.pyannote[2959].speaker SPEAKER_08
transcript.pyannote[2959].start 24002.59221875
transcript.pyannote[2959].end 24003.26721875
transcript.pyannote[2960].speaker SPEAKER_18
transcript.pyannote[2960].start 24003.26721875
transcript.pyannote[2960].end 24003.79034375
transcript.pyannote[2961].speaker SPEAKER_18
transcript.pyannote[2961].start 24003.87471875
transcript.pyannote[2961].end 24004.97159375
transcript.pyannote[2962].speaker SPEAKER_08
transcript.pyannote[2962].start 24004.97159375
transcript.pyannote[2962].end 24005.52846875
transcript.pyannote[2963].speaker SPEAKER_08
transcript.pyannote[2963].start 24007.11471875
transcript.pyannote[2963].end 24008.12721875
transcript.pyannote[2964].speaker SPEAKER_08
transcript.pyannote[2964].start 24009.08909375
transcript.pyannote[2964].end 24010.11846875
transcript.pyannote[2965].speaker SPEAKER_08
transcript.pyannote[2965].start 24010.77659375
transcript.pyannote[2965].end 24012.71721875
transcript.pyannote[2966].speaker SPEAKER_18
transcript.pyannote[2966].start 24012.91971875
transcript.pyannote[2966].end 24016.53096875
transcript.pyannote[2967].speaker SPEAKER_08
transcript.pyannote[2967].start 24013.59471875
transcript.pyannote[2967].end 24013.88159375
transcript.pyannote[2968].speaker SPEAKER_18
transcript.pyannote[2968].start 24017.20596875
transcript.pyannote[2968].end 24018.03284375
transcript.pyannote[2969].speaker SPEAKER_08
transcript.pyannote[2969].start 24017.30721875
transcript.pyannote[2969].end 24021.37409375
transcript.pyannote[2970].speaker SPEAKER_18
transcript.pyannote[2970].start 24019.66971875
transcript.pyannote[2970].end 24026.40284375
transcript.pyannote[2971].speaker SPEAKER_18
transcript.pyannote[2971].start 24026.70659375
transcript.pyannote[2971].end 24035.49846875
transcript.pyannote[2972].speaker SPEAKER_08
transcript.pyannote[2972].start 24032.32596875
transcript.pyannote[2972].end 24039.56534375
transcript.pyannote[2973].speaker SPEAKER_08
transcript.pyannote[2973].start 24040.00409375
transcript.pyannote[2973].end 24040.62846875
transcript.pyannote[2974].speaker SPEAKER_08
transcript.pyannote[2974].start 24041.05034375
transcript.pyannote[2974].end 24045.92721875
transcript.pyannote[2975].speaker SPEAKER_03
transcript.pyannote[2975].start 24044.50971875
transcript.pyannote[2975].end 24045.03284375
transcript.pyannote[2976].speaker SPEAKER_18
transcript.pyannote[2976].start 24045.03284375
transcript.pyannote[2976].end 24047.09159375
transcript.pyannote[2977].speaker SPEAKER_08
transcript.pyannote[2977].start 24047.09159375
transcript.pyannote[2977].end 24071.94846875
transcript.pyannote[2978].speaker SPEAKER_18
transcript.pyannote[2978].start 24047.32784375
transcript.pyannote[2978].end 24048.74534375
transcript.pyannote[2979].speaker SPEAKER_00
transcript.pyannote[2979].start 24050.90534375
transcript.pyannote[2979].end 24050.92221875
transcript.pyannote[2980].speaker SPEAKER_18
transcript.pyannote[2980].start 24050.92221875
transcript.pyannote[2980].end 24053.97659375
transcript.pyannote[2981].speaker SPEAKER_00
transcript.pyannote[2981].start 24054.97221875
transcript.pyannote[2981].end 24055.39409375
transcript.pyannote[2982].speaker SPEAKER_18
transcript.pyannote[2982].start 24070.80096875
transcript.pyannote[2982].end 24074.39534375
transcript.pyannote[2983].speaker SPEAKER_09
transcript.pyannote[2983].start 24075.28971875
transcript.pyannote[2983].end 24080.28471875
transcript.pyannote[2984].speaker SPEAKER_09
transcript.pyannote[2984].start 24081.88784375
transcript.pyannote[2984].end 24086.68034375
transcript.pyannote[2985].speaker SPEAKER_15
transcript.pyannote[2985].start 24105.37784375
transcript.pyannote[2985].end 24106.33971875
transcript.pyannote[2986].speaker SPEAKER_15
transcript.pyannote[2986].start 24107.21721875
transcript.pyannote[2986].end 24110.98034375
transcript.pyannote[2987].speaker SPEAKER_10
transcript.pyannote[2987].start 24109.03971875
transcript.pyannote[2987].end 24110.84534375
transcript.pyannote[2988].speaker SPEAKER_15
transcript.pyannote[2988].start 24119.43471875
transcript.pyannote[2988].end 24120.10971875
transcript.pyannote[2989].speaker SPEAKER_18
transcript.pyannote[2989].start 24120.43034375
transcript.pyannote[2989].end 24121.10534375
transcript.pyannote[2990].speaker SPEAKER_15
transcript.pyannote[2990].start 24122.47221875
transcript.pyannote[2990].end 24123.23159375
transcript.pyannote[2991].speaker SPEAKER_15
transcript.pyannote[2991].start 24123.80534375
transcript.pyannote[2991].end 24128.61471875
transcript.pyannote[2992].speaker SPEAKER_15
transcript.pyannote[2992].start 24128.91846875
transcript.pyannote[2992].end 24131.58471875
transcript.pyannote[2993].speaker SPEAKER_15
transcript.pyannote[2993].start 24132.05721875
transcript.pyannote[2993].end 24132.90096875
transcript.pyannote[2994].speaker SPEAKER_15
transcript.pyannote[2994].start 24133.18784375
transcript.pyannote[2994].end 24138.97596875
transcript.pyannote[2995].speaker SPEAKER_15
transcript.pyannote[2995].start 24139.44846875
transcript.pyannote[2995].end 24140.88284375
transcript.pyannote[2996].speaker SPEAKER_15
transcript.pyannote[2996].start 24141.23721875
transcript.pyannote[2996].end 24144.25784375
transcript.pyannote[2997].speaker SPEAKER_15
transcript.pyannote[2997].start 24144.42659375
transcript.pyannote[2997].end 24145.27034375
transcript.pyannote[2998].speaker SPEAKER_15
transcript.pyannote[2998].start 24146.31659375
transcript.pyannote[2998].end 24146.67096875
transcript.pyannote[2999].speaker SPEAKER_15
transcript.pyannote[2999].start 24147.10971875
transcript.pyannote[2999].end 24148.66221875
transcript.pyannote[3000].speaker SPEAKER_15
transcript.pyannote[3000].start 24149.33721875
transcript.pyannote[3000].end 24151.05846875
transcript.pyannote[3001].speaker SPEAKER_15
transcript.pyannote[3001].start 24151.61534375
transcript.pyannote[3001].end 24160.30596875
transcript.pyannote[3002].speaker SPEAKER_15
transcript.pyannote[3002].start 24160.32284375
transcript.pyannote[3002].end 24162.97221875
transcript.pyannote[3003].speaker SPEAKER_15
transcript.pyannote[3003].start 24163.69784375
transcript.pyannote[3003].end 24167.98409375
transcript.pyannote[3004].speaker SPEAKER_15
transcript.pyannote[3004].start 24168.25409375
transcript.pyannote[3004].end 24168.89534375
transcript.pyannote[3005].speaker SPEAKER_15
transcript.pyannote[3005].start 24169.04721875
transcript.pyannote[3005].end 24171.76409375
transcript.pyannote[3006].speaker SPEAKER_15
transcript.pyannote[3006].start 24172.05096875
transcript.pyannote[3006].end 24174.05909375
transcript.pyannote[3007].speaker SPEAKER_15
transcript.pyannote[3007].start 24174.43034375
transcript.pyannote[3007].end 24177.68721875
transcript.pyannote[3008].speaker SPEAKER_15
transcript.pyannote[3008].start 24178.41284375
transcript.pyannote[3008].end 24181.63596875
transcript.pyannote[3009].speaker SPEAKER_15
transcript.pyannote[3009].start 24181.82159375
transcript.pyannote[3009].end 24184.25159375
transcript.pyannote[3010].speaker SPEAKER_15
transcript.pyannote[3010].start 24184.99409375
transcript.pyannote[3010].end 24188.31846875
transcript.pyannote[3011].speaker SPEAKER_15
transcript.pyannote[3011].start 24188.97659375
transcript.pyannote[3011].end 24191.30534375
transcript.pyannote[3012].speaker SPEAKER_15
transcript.pyannote[3012].start 24191.55846875
transcript.pyannote[3012].end 24193.17846875
transcript.pyannote[3013].speaker SPEAKER_15
transcript.pyannote[3013].start 24193.73534375
transcript.pyannote[3013].end 24197.58284375
transcript.pyannote[3014].speaker SPEAKER_15
transcript.pyannote[3014].start 24198.35909375
transcript.pyannote[3014].end 24204.18096875
transcript.pyannote[3015].speaker SPEAKER_15
transcript.pyannote[3015].start 24204.60284375
transcript.pyannote[3015].end 24205.27784375
transcript.pyannote[3016].speaker SPEAKER_15
transcript.pyannote[3016].start 24206.08784375
transcript.pyannote[3016].end 24212.39909375
transcript.pyannote[3017].speaker SPEAKER_04
transcript.pyannote[3017].start 24212.51721875
transcript.pyannote[3017].end 24212.88846875
transcript.pyannote[3018].speaker SPEAKER_15
transcript.pyannote[3018].start 24213.27659375
transcript.pyannote[3018].end 24213.74909375
transcript.pyannote[3019].speaker SPEAKER_15
transcript.pyannote[3019].start 24213.81659375
transcript.pyannote[3019].end 24215.67284375
transcript.pyannote[3020].speaker SPEAKER_15
transcript.pyannote[3020].start 24215.97659375
transcript.pyannote[3020].end 24235.24784375
transcript.pyannote[3021].speaker SPEAKER_15
transcript.pyannote[3021].start 24235.31534375
transcript.pyannote[3021].end 24235.93971875
transcript.pyannote[3022].speaker SPEAKER_15
transcript.pyannote[3022].start 24236.66534375
transcript.pyannote[3022].end 24243.43221875
transcript.pyannote[3023].speaker SPEAKER_15
transcript.pyannote[3023].start 24243.95534375
transcript.pyannote[3023].end 24247.93784375
transcript.pyannote[3024].speaker SPEAKER_15
transcript.pyannote[3024].start 24247.97159375
transcript.pyannote[3024].end 24274.49909375
transcript.pyannote[3025].speaker SPEAKER_15
transcript.pyannote[3025].start 24274.92096875
transcript.pyannote[3025].end 24288.08346875
transcript.pyannote[3026].speaker SPEAKER_15
transcript.pyannote[3026].start 24288.62346875
transcript.pyannote[3026].end 24315.53909375
transcript.pyannote[3027].speaker SPEAKER_15
transcript.pyannote[3027].start 24316.36596875
transcript.pyannote[3027].end 24317.76659375
transcript.pyannote[3028].speaker SPEAKER_15
transcript.pyannote[3028].start 24318.23909375
transcript.pyannote[3028].end 24320.14596875
transcript.pyannote[3029].speaker SPEAKER_15
transcript.pyannote[3029].start 24320.34846875
transcript.pyannote[3029].end 24323.23409375
transcript.pyannote[3030].speaker SPEAKER_15
transcript.pyannote[3030].start 24323.43659375
transcript.pyannote[3030].end 24335.72159375
transcript.pyannote[3031].speaker SPEAKER_15
transcript.pyannote[3031].start 24335.87346875
transcript.pyannote[3031].end 24337.17284375
transcript.pyannote[3032].speaker SPEAKER_15
transcript.pyannote[3032].start 24337.71284375
transcript.pyannote[3032].end 24341.40846875
transcript.pyannote[3033].speaker SPEAKER_15
transcript.pyannote[3033].start 24341.56034375
transcript.pyannote[3033].end 24354.38534375
transcript.pyannote[3034].speaker SPEAKER_15
transcript.pyannote[3034].start 24354.70596875
transcript.pyannote[3034].end 24356.14034375
transcript.pyannote[3035].speaker SPEAKER_15
transcript.pyannote[3035].start 24357.03471875
transcript.pyannote[3035].end 24366.02909375
transcript.pyannote[3036].speaker SPEAKER_15
transcript.pyannote[3036].start 24366.23159375
transcript.pyannote[3036].end 24368.84721875
transcript.pyannote[3037].speaker SPEAKER_15
transcript.pyannote[3037].start 24369.31971875
transcript.pyannote[3037].end 24390.68346875
transcript.pyannote[3038].speaker SPEAKER_15
transcript.pyannote[3038].start 24390.85221875
transcript.pyannote[3038].end 24392.72534375
transcript.pyannote[3039].speaker SPEAKER_15
transcript.pyannote[3039].start 24393.06284375
transcript.pyannote[3039].end 24415.79346875
transcript.pyannote[3040].speaker SPEAKER_15
transcript.pyannote[3040].start 24416.45159375
transcript.pyannote[3040].end 24419.28659375
transcript.pyannote[3041].speaker SPEAKER_18
transcript.pyannote[3041].start 24419.69159375
transcript.pyannote[3041].end 24431.31846875
transcript.pyannote[3042].speaker SPEAKER_18
transcript.pyannote[3042].start 24431.47034375
transcript.pyannote[3042].end 24451.61909375
transcript.pyannote[3043].speaker SPEAKER_18
transcript.pyannote[3043].start 24451.65284375
transcript.pyannote[3043].end 24454.58909375
transcript.pyannote[3044].speaker SPEAKER_18
transcript.pyannote[3044].start 24455.19659375
transcript.pyannote[3044].end 24461.22096875
transcript.pyannote[3045].speaker SPEAKER_18
transcript.pyannote[3045].start 24461.49096875
transcript.pyannote[3045].end 24465.87846875
transcript.pyannote[3046].speaker SPEAKER_18
transcript.pyannote[3046].start 24466.43534375
transcript.pyannote[3046].end 24471.90284375
transcript.pyannote[3047].speaker SPEAKER_18
transcript.pyannote[3047].start 24471.97034375
transcript.pyannote[3047].end 24472.76346875
transcript.pyannote[3048].speaker SPEAKER_18
transcript.pyannote[3048].start 24473.28659375
transcript.pyannote[3048].end 24475.17659375
transcript.pyannote[3049].speaker SPEAKER_18
transcript.pyannote[3049].start 24475.64909375
transcript.pyannote[3049].end 24486.17909375
transcript.pyannote[3050].speaker SPEAKER_18
transcript.pyannote[3050].start 24486.68534375
transcript.pyannote[3050].end 24494.41409375
transcript.pyannote[3051].speaker SPEAKER_18
transcript.pyannote[3051].start 24494.75159375
transcript.pyannote[3051].end 24496.69221875
transcript.pyannote[3052].speaker SPEAKER_18
transcript.pyannote[3052].start 24496.97909375
transcript.pyannote[3052].end 24501.92346875
transcript.pyannote[3053].speaker SPEAKER_18
transcript.pyannote[3053].start 24502.09221875
transcript.pyannote[3053].end 24507.86346875
transcript.pyannote[3054].speaker SPEAKER_18
transcript.pyannote[3054].start 24508.48784375
transcript.pyannote[3054].end 24516.80721875
transcript.pyannote[3055].speaker SPEAKER_18
transcript.pyannote[3055].start 24517.24596875
transcript.pyannote[3055].end 24521.46471875
transcript.pyannote[3056].speaker SPEAKER_18
transcript.pyannote[3056].start 24521.83596875
transcript.pyannote[3056].end 24526.30784375
transcript.pyannote[3057].speaker SPEAKER_18
transcript.pyannote[3057].start 24526.52721875
transcript.pyannote[3057].end 24530.84721875
transcript.pyannote[3058].speaker SPEAKER_18
transcript.pyannote[3058].start 24531.06659375
transcript.pyannote[3058].end 24541.83284375
transcript.pyannote[3059].speaker SPEAKER_18
transcript.pyannote[3059].start 24542.28846875
transcript.pyannote[3059].end 24548.02596875
transcript.pyannote[3060].speaker SPEAKER_18
transcript.pyannote[3060].start 24548.14409375
transcript.pyannote[3060].end 24549.35909375
transcript.pyannote[3061].speaker SPEAKER_18
transcript.pyannote[3061].start 24549.73034375
transcript.pyannote[3061].end 24553.32471875
transcript.pyannote[3062].speaker SPEAKER_18
transcript.pyannote[3062].start 24554.15159375
transcript.pyannote[3062].end 24555.33284375
transcript.pyannote[3063].speaker SPEAKER_18
transcript.pyannote[3063].start 24555.46784375
transcript.pyannote[3063].end 24561.40784375
transcript.pyannote[3064].speaker SPEAKER_18
transcript.pyannote[3064].start 24561.81284375
transcript.pyannote[3064].end 24567.63471875
transcript.pyannote[3065].speaker SPEAKER_18
transcript.pyannote[3065].start 24568.44471875
transcript.pyannote[3065].end 24572.42721875
transcript.pyannote[3066].speaker SPEAKER_18
transcript.pyannote[3066].start 24573.13596875
transcript.pyannote[3066].end 24575.26221875
transcript.pyannote[3067].speaker SPEAKER_18
transcript.pyannote[3067].start 24575.46471875
transcript.pyannote[3067].end 24577.86096875
transcript.pyannote[3068].speaker SPEAKER_10
transcript.pyannote[3068].start 24577.89471875
transcript.pyannote[3068].end 24578.18159375
transcript.pyannote[3069].speaker SPEAKER_18
transcript.pyannote[3069].start 24578.38409375
transcript.pyannote[3069].end 24578.75534375
transcript.pyannote[3070].speaker SPEAKER_18
transcript.pyannote[3070].start 24579.26159375
transcript.pyannote[3070].end 24581.87721875
transcript.pyannote[3071].speaker SPEAKER_18
transcript.pyannote[3071].start 24582.68721875
transcript.pyannote[3071].end 24584.08784375
transcript.pyannote[3072].speaker SPEAKER_18
transcript.pyannote[3072].start 24584.47596875
transcript.pyannote[3072].end 24588.23909375
transcript.pyannote[3073].speaker SPEAKER_10
transcript.pyannote[3073].start 24588.69471875
transcript.pyannote[3073].end 24588.76221875
transcript.pyannote[3074].speaker SPEAKER_18
transcript.pyannote[3074].start 24588.86346875
transcript.pyannote[3074].end 24594.24659375
transcript.pyannote[3075].speaker SPEAKER_18
transcript.pyannote[3075].start 24594.73596875
transcript.pyannote[3075].end 24604.70909375
transcript.pyannote[3076].speaker SPEAKER_18
transcript.pyannote[3076].start 24605.16471875
transcript.pyannote[3076].end 24617.90534375
transcript.pyannote[3077].speaker SPEAKER_18
transcript.pyannote[3077].start 24618.24284375
transcript.pyannote[3077].end 24626.24159375
transcript.pyannote[3078].speaker SPEAKER_18
transcript.pyannote[3078].start 24626.62971875
transcript.pyannote[3078].end 24642.08721875
transcript.pyannote[3079].speaker SPEAKER_18
transcript.pyannote[3079].start 24642.86346875
transcript.pyannote[3079].end 24650.64284375
transcript.pyannote[3080].speaker SPEAKER_18
transcript.pyannote[3080].start 24651.01409375
transcript.pyannote[3080].end 24652.07721875
transcript.pyannote[3081].speaker SPEAKER_18
transcript.pyannote[3081].start 24652.17846875
transcript.pyannote[3081].end 24653.79846875
transcript.pyannote[3082].speaker SPEAKER_18
transcript.pyannote[3082].start 24653.84909375
transcript.pyannote[3082].end 24669.98159375
transcript.pyannote[3083].speaker SPEAKER_15
transcript.pyannote[3083].start 24670.20096875
transcript.pyannote[3083].end 24699.52971875
transcript.pyannote[3084].speaker SPEAKER_15
transcript.pyannote[3084].start 24700.12034375
transcript.pyannote[3084].end 24727.98096875
transcript.pyannote[3085].speaker SPEAKER_15
transcript.pyannote[3085].start 24728.30159375
transcript.pyannote[3085].end 24741.39659375
transcript.pyannote[3086].speaker SPEAKER_15
transcript.pyannote[3086].start 24742.44284375
transcript.pyannote[3086].end 24744.65346875
transcript.pyannote[3087].speaker SPEAKER_18
transcript.pyannote[3087].start 24744.73784375
transcript.pyannote[3087].end 24759.21659375
transcript.pyannote[3088].speaker SPEAKER_18
transcript.pyannote[3088].start 24759.48659375
transcript.pyannote[3088].end 24777.32346875
transcript.pyannote[3089].speaker SPEAKER_18
transcript.pyannote[3089].start 24777.82971875
transcript.pyannote[3089].end 24809.41971875
transcript.pyannote[3090].speaker SPEAKER_18
transcript.pyannote[3090].start 24809.55471875
transcript.pyannote[3090].end 24820.28721875
transcript.pyannote[3091].speaker SPEAKER_18
transcript.pyannote[3091].start 24820.60784375
transcript.pyannote[3091].end 24823.66221875
transcript.pyannote[3092].speaker SPEAKER_18
transcript.pyannote[3092].start 24823.88159375
transcript.pyannote[3092].end 24838.63034375
transcript.pyannote[3093].speaker SPEAKER_18
transcript.pyannote[3093].start 24839.23784375
transcript.pyannote[3093].end 24845.85284375
transcript.pyannote[3094].speaker SPEAKER_18
transcript.pyannote[3094].start 24846.40971875
transcript.pyannote[3094].end 24850.64534375
transcript.pyannote[3095].speaker SPEAKER_18
transcript.pyannote[3095].start 24850.98284375
transcript.pyannote[3095].end 24858.77909375
transcript.pyannote[3096].speaker SPEAKER_18
transcript.pyannote[3096].start 24859.23471875
transcript.pyannote[3096].end 24889.06971875
transcript.pyannote[3097].speaker SPEAKER_18
transcript.pyannote[3097].start 24889.50846875
transcript.pyannote[3097].end 24891.98909375
transcript.pyannote[3098].speaker SPEAKER_18
transcript.pyannote[3098].start 24892.14096875
transcript.pyannote[3098].end 24897.10221875
transcript.pyannote[3099].speaker SPEAKER_18
transcript.pyannote[3099].start 24897.32159375
transcript.pyannote[3099].end 24900.56159375
transcript.pyannote[3100].speaker SPEAKER_18
transcript.pyannote[3100].start 24901.13534375
transcript.pyannote[3100].end 24902.65409375
transcript.pyannote[3101].speaker SPEAKER_18
transcript.pyannote[3101].start 24903.71721875
transcript.pyannote[3101].end 24907.04159375
transcript.pyannote[3102].speaker SPEAKER_18
transcript.pyannote[3102].start 24907.39596875
transcript.pyannote[3102].end 24910.51784375
transcript.pyannote[3103].speaker SPEAKER_18
transcript.pyannote[3103].start 24910.77096875
transcript.pyannote[3103].end 24919.74846875
transcript.pyannote[3104].speaker SPEAKER_18
transcript.pyannote[3104].start 24920.74409375
transcript.pyannote[3104].end 24937.51784375
transcript.pyannote[3105].speaker SPEAKER_18
transcript.pyannote[3105].start 24937.68659375
transcript.pyannote[3105].end 24950.07284375
transcript.pyannote[3106].speaker SPEAKER_15
transcript.pyannote[3106].start 24950.37659375
transcript.pyannote[3106].end 24956.73846875
transcript.pyannote[3107].speaker SPEAKER_18
transcript.pyannote[3107].start 24950.68034375
transcript.pyannote[3107].end 24950.93346875
transcript.pyannote[3108].speaker SPEAKER_15
transcript.pyannote[3108].start 24957.27846875
transcript.pyannote[3108].end 24959.75909375
transcript.pyannote[3109].speaker SPEAKER_14
transcript.pyannote[3109].start 24960.18096875
transcript.pyannote[3109].end 24960.43409375
transcript.pyannote[3110].speaker SPEAKER_15
transcript.pyannote[3110].start 24960.92346875
transcript.pyannote[3110].end 24961.56471875
transcript.pyannote[3111].speaker SPEAKER_15
transcript.pyannote[3111].start 24961.73346875
transcript.pyannote[3111].end 24974.89596875
transcript.pyannote[3112].speaker SPEAKER_15
transcript.pyannote[3112].start 24975.18284375
transcript.pyannote[3112].end 24981.12284375
transcript.pyannote[3113].speaker SPEAKER_15
transcript.pyannote[3113].start 24981.22409375
transcript.pyannote[3113].end 24983.46846875
transcript.pyannote[3114].speaker SPEAKER_15
transcript.pyannote[3114].start 24983.85659375
transcript.pyannote[3114].end 24983.90721875
transcript.pyannote[3115].speaker SPEAKER_10
transcript.pyannote[3115].start 24983.90721875
transcript.pyannote[3115].end 24983.97471875
transcript.pyannote[3116].speaker SPEAKER_15
transcript.pyannote[3116].start 24983.97471875
transcript.pyannote[3116].end 24988.29471875
transcript.pyannote[3117].speaker SPEAKER_10
transcript.pyannote[3117].start 24984.09284375
transcript.pyannote[3117].end 24984.17721875
transcript.pyannote[3118].speaker SPEAKER_18
transcript.pyannote[3118].start 24984.17721875
transcript.pyannote[3118].end 24984.73409375
transcript.pyannote[3119].speaker SPEAKER_18
transcript.pyannote[3119].start 24988.44659375
transcript.pyannote[3119].end 24988.78409375
transcript.pyannote[3120].speaker SPEAKER_15
transcript.pyannote[3120].start 24988.78409375
transcript.pyannote[3120].end 24989.44221875
transcript.pyannote[3121].speaker SPEAKER_18
transcript.pyannote[3121].start 24988.85159375
transcript.pyannote[3121].end 24988.86846875
transcript.pyannote[3122].speaker SPEAKER_18
transcript.pyannote[3122].start 24989.44221875
transcript.pyannote[3122].end 24991.78784375
transcript.pyannote[3123].speaker SPEAKER_18
transcript.pyannote[3123].start 24992.14221875
transcript.pyannote[3123].end 24996.10784375
transcript.pyannote[3124].speaker SPEAKER_18
transcript.pyannote[3124].start 24996.27659375
transcript.pyannote[3124].end 24996.56346875
transcript.pyannote[3125].speaker SPEAKER_18
transcript.pyannote[3125].start 24996.96846875
transcript.pyannote[3125].end 24997.49159375
transcript.pyannote[3126].speaker SPEAKER_18
transcript.pyannote[3126].start 24997.67721875
transcript.pyannote[3126].end 25003.93784375
transcript.pyannote[3127].speaker SPEAKER_18
transcript.pyannote[3127].start 25004.30909375
transcript.pyannote[3127].end 25005.67596875
transcript.pyannote[3128].speaker SPEAKER_18
transcript.pyannote[3128].start 25006.31721875
transcript.pyannote[3128].end 25007.05971875
transcript.pyannote[3129].speaker SPEAKER_18
transcript.pyannote[3129].start 25007.65034375
transcript.pyannote[3129].end 25013.43846875
transcript.pyannote[3130].speaker SPEAKER_18
transcript.pyannote[3130].start 25014.06284375
transcript.pyannote[3130].end 25016.05409375
transcript.pyannote[3131].speaker SPEAKER_18
transcript.pyannote[3131].start 25016.25659375
transcript.pyannote[3131].end 25016.77971875
transcript.pyannote[3132].speaker SPEAKER_18
transcript.pyannote[3132].start 25017.35346875
transcript.pyannote[3132].end 25017.85971875
transcript.pyannote[3133].speaker SPEAKER_18
transcript.pyannote[3133].start 25018.29846875
transcript.pyannote[3133].end 25021.04909375
transcript.pyannote[3134].speaker SPEAKER_18
transcript.pyannote[3134].start 25021.30221875
transcript.pyannote[3134].end 25025.72346875
transcript.pyannote[3135].speaker SPEAKER_18
transcript.pyannote[3135].start 25026.17909375
transcript.pyannote[3135].end 25029.70596875
transcript.pyannote[3136].speaker SPEAKER_18
transcript.pyannote[3136].start 25030.12784375
transcript.pyannote[3136].end 25034.88659375
transcript.pyannote[3137].speaker SPEAKER_18
transcript.pyannote[3137].start 25035.20721875
transcript.pyannote[3137].end 25038.07596875
transcript.pyannote[3138].speaker SPEAKER_18
transcript.pyannote[3138].start 25038.26159375
transcript.pyannote[3138].end 25040.11784375
transcript.pyannote[3139].speaker SPEAKER_18
transcript.pyannote[3139].start 25040.82659375
transcript.pyannote[3139].end 25045.80471875
transcript.pyannote[3140].speaker SPEAKER_18
transcript.pyannote[3140].start 25046.26034375
transcript.pyannote[3140].end 25053.02721875
transcript.pyannote[3141].speaker SPEAKER_18
transcript.pyannote[3141].start 25053.83721875
transcript.pyannote[3141].end 25056.48659375
transcript.pyannote[3142].speaker SPEAKER_18
transcript.pyannote[3142].start 25057.81971875
transcript.pyannote[3142].end 25058.84909375
transcript.pyannote[3143].speaker SPEAKER_18
transcript.pyannote[3143].start 25058.95034375
transcript.pyannote[3143].end 25060.60409375
transcript.pyannote[3144].speaker SPEAKER_18
transcript.pyannote[3144].start 25061.54909375
transcript.pyannote[3144].end 25063.20284375
transcript.pyannote[3145].speaker SPEAKER_18
transcript.pyannote[3145].start 25063.38846875
transcript.pyannote[3145].end 25067.80971875
transcript.pyannote[3146].speaker SPEAKER_18
transcript.pyannote[3146].start 25067.96159375
transcript.pyannote[3146].end 25069.59846875
transcript.pyannote[3147].speaker SPEAKER_18
transcript.pyannote[3147].start 25069.76721875
transcript.pyannote[3147].end 25074.34034375
transcript.pyannote[3148].speaker SPEAKER_18
transcript.pyannote[3148].start 25074.91409375
transcript.pyannote[3148].end 25079.38596875
transcript.pyannote[3149].speaker SPEAKER_18
transcript.pyannote[3149].start 25079.85846875
transcript.pyannote[3149].end 25084.53284375
transcript.pyannote[3150].speaker SPEAKER_18
transcript.pyannote[3150].start 25085.20784375
transcript.pyannote[3150].end 25087.89096875
transcript.pyannote[3151].speaker SPEAKER_18
transcript.pyannote[3151].start 25088.34659375
transcript.pyannote[3151].end 25090.45596875
transcript.pyannote[3152].speaker SPEAKER_18
transcript.pyannote[3152].start 25090.84409375
transcript.pyannote[3152].end 25093.05471875
transcript.pyannote[3153].speaker SPEAKER_18
transcript.pyannote[3153].start 25093.32471875
transcript.pyannote[3153].end 25095.56909375
transcript.pyannote[3154].speaker SPEAKER_18
transcript.pyannote[3154].start 25096.00784375
transcript.pyannote[3154].end 25097.56034375
transcript.pyannote[3155].speaker SPEAKER_18
transcript.pyannote[3155].start 25098.11721875
transcript.pyannote[3155].end 25103.70284375
transcript.pyannote[3156].speaker SPEAKER_18
transcript.pyannote[3156].start 25104.24284375
transcript.pyannote[3156].end 25104.29346875
transcript.pyannote[3157].speaker SPEAKER_18
transcript.pyannote[3157].start 25104.81659375
transcript.pyannote[3157].end 25109.03534375
transcript.pyannote[3158].speaker SPEAKER_18
transcript.pyannote[3158].start 25109.86221875
transcript.pyannote[3158].end 25111.92096875
transcript.pyannote[3159].speaker SPEAKER_18
transcript.pyannote[3159].start 25112.64659375
transcript.pyannote[3159].end 25120.27409375
transcript.pyannote[3160].speaker SPEAKER_10
transcript.pyannote[3160].start 25120.27409375
transcript.pyannote[3160].end 25120.72971875
transcript.pyannote[3161].speaker SPEAKER_18
transcript.pyannote[3161].start 25120.72971875
transcript.pyannote[3161].end 25123.71659375
transcript.pyannote[3162].speaker SPEAKER_18
transcript.pyannote[3162].start 25123.88534375
transcript.pyannote[3162].end 25126.95659375
transcript.pyannote[3163].speaker SPEAKER_18
transcript.pyannote[3163].start 25127.53034375
transcript.pyannote[3163].end 25133.03159375
transcript.pyannote[3164].speaker SPEAKER_18
transcript.pyannote[3164].start 25133.40284375
transcript.pyannote[3164].end 25136.22096875
transcript.pyannote[3165].speaker SPEAKER_18
transcript.pyannote[3165].start 25136.37284375
transcript.pyannote[3165].end 25141.53659375
transcript.pyannote[3166].speaker SPEAKER_18
transcript.pyannote[3166].start 25141.94159375
transcript.pyannote[3166].end 25144.28721875
transcript.pyannote[3167].speaker SPEAKER_18
transcript.pyannote[3167].start 25144.59096875
transcript.pyannote[3167].end 25153.60221875
transcript.pyannote[3168].speaker SPEAKER_18
transcript.pyannote[3168].start 25154.14221875
transcript.pyannote[3168].end 25159.52534375
transcript.pyannote[3169].speaker SPEAKER_18
transcript.pyannote[3169].start 25159.64346875
transcript.pyannote[3169].end 25162.81596875
transcript.pyannote[3170].speaker SPEAKER_18
transcript.pyannote[3170].start 25163.35596875
transcript.pyannote[3170].end 25167.43971875
transcript.pyannote[3171].speaker SPEAKER_18
transcript.pyannote[3171].start 25168.84034375
transcript.pyannote[3171].end 25181.19284375
transcript.pyannote[3172].speaker SPEAKER_18
transcript.pyannote[3172].start 25181.63159375
transcript.pyannote[3172].end 25183.62284375
transcript.pyannote[3173].speaker SPEAKER_18
transcript.pyannote[3173].start 25183.77471875
transcript.pyannote[3173].end 25187.18346875
transcript.pyannote[3174].speaker SPEAKER_18
transcript.pyannote[3174].start 25187.72346875
transcript.pyannote[3174].end 25190.55846875
transcript.pyannote[3175].speaker SPEAKER_18
transcript.pyannote[3175].start 25191.13221875
transcript.pyannote[3175].end 25191.52034375
transcript.pyannote[3176].speaker SPEAKER_18
transcript.pyannote[3176].start 25192.26284375
transcript.pyannote[3176].end 25195.51971875
transcript.pyannote[3177].speaker SPEAKER_18
transcript.pyannote[3177].start 25195.97534375
transcript.pyannote[3177].end 25198.38846875
transcript.pyannote[3178].speaker SPEAKER_18
transcript.pyannote[3178].start 25198.99596875
transcript.pyannote[3178].end 25199.65409375
transcript.pyannote[3179].speaker SPEAKER_18
transcript.pyannote[3179].start 25199.82284375
transcript.pyannote[3179].end 25208.90159375
transcript.pyannote[3180].speaker SPEAKER_10
transcript.pyannote[3180].start 25207.23096875
transcript.pyannote[3180].end 25207.90596875
transcript.pyannote[3181].speaker SPEAKER_10
transcript.pyannote[3181].start 25209.00284375
transcript.pyannote[3181].end 25209.13784375
transcript.pyannote[3182].speaker SPEAKER_18
transcript.pyannote[3182].start 25209.13784375
transcript.pyannote[3182].end 25220.37659375
transcript.pyannote[3183].speaker SPEAKER_18
transcript.pyannote[3183].start 25220.89971875
transcript.pyannote[3183].end 25227.14346875
transcript.pyannote[3184].speaker SPEAKER_10
transcript.pyannote[3184].start 25227.63284375
transcript.pyannote[3184].end 25228.69596875
transcript.pyannote[3185].speaker SPEAKER_18
transcript.pyannote[3185].start 25227.93659375
transcript.pyannote[3185].end 25233.08346875
transcript.pyannote[3186].speaker SPEAKER_18
transcript.pyannote[3186].start 25233.79221875
transcript.pyannote[3186].end 25239.46221875
transcript.pyannote[3187].speaker SPEAKER_15
transcript.pyannote[3187].start 25239.54659375
transcript.pyannote[3187].end 25241.67284375
transcript.pyannote[3188].speaker SPEAKER_15
transcript.pyannote[3188].start 25241.95971875
transcript.pyannote[3188].end 25260.37034375
transcript.pyannote[3189].speaker SPEAKER_15
transcript.pyannote[3189].start 25260.70784375
transcript.pyannote[3189].end 25276.16534375
transcript.pyannote[3190].speaker SPEAKER_00
transcript.pyannote[3190].start 25267.52534375
transcript.pyannote[3190].end 25267.55909375
transcript.pyannote[3191].speaker SPEAKER_15
transcript.pyannote[3191].start 25276.35096875
transcript.pyannote[3191].end 25277.86971875
transcript.pyannote[3192].speaker SPEAKER_15
transcript.pyannote[3192].start 25277.93721875
transcript.pyannote[3192].end 25278.29159375
transcript.pyannote[3193].speaker SPEAKER_15
transcript.pyannote[3193].start 25278.96659375
transcript.pyannote[3193].end 25280.94096875
transcript.pyannote[3194].speaker SPEAKER_15
transcript.pyannote[3194].start 25281.59909375
transcript.pyannote[3194].end 25286.13846875
transcript.pyannote[3195].speaker SPEAKER_18
transcript.pyannote[3195].start 25285.12596875
transcript.pyannote[3195].end 25294.86284375
transcript.pyannote[3196].speaker SPEAKER_18
transcript.pyannote[3196].start 25295.20034375
transcript.pyannote[3196].end 25298.05221875
transcript.pyannote[3197].speaker SPEAKER_18
transcript.pyannote[3197].start 25298.35596875
transcript.pyannote[3197].end 25307.55284375
transcript.pyannote[3198].speaker SPEAKER_18
transcript.pyannote[3198].start 25307.99159375
transcript.pyannote[3198].end 25309.59471875
transcript.pyannote[3199].speaker SPEAKER_18
transcript.pyannote[3199].start 25310.05034375
transcript.pyannote[3199].end 25311.78846875
transcript.pyannote[3200].speaker SPEAKER_18
transcript.pyannote[3200].start 25311.90659375
transcript.pyannote[3200].end 25313.30721875
transcript.pyannote[3201].speaker SPEAKER_18
transcript.pyannote[3201].start 25314.87659375
transcript.pyannote[3201].end 25315.92284375
transcript.pyannote[3202].speaker SPEAKER_18
transcript.pyannote[3202].start 25316.54721875
transcript.pyannote[3202].end 25318.40346875
transcript.pyannote[3203].speaker SPEAKER_09
transcript.pyannote[3203].start 25335.19409375
transcript.pyannote[3203].end 25340.08784375
transcript.pyannote[3204].speaker SPEAKER_09
transcript.pyannote[3204].start 25340.61096875
transcript.pyannote[3204].end 25340.96534375
transcript.pyannote[3205].speaker SPEAKER_09
transcript.pyannote[3205].start 25344.39096875
transcript.pyannote[3205].end 25349.26784375
transcript.pyannote[3206].speaker SPEAKER_05
transcript.pyannote[3206].start 25356.89534375
transcript.pyannote[3206].end 25360.08471875
transcript.pyannote[3207].speaker SPEAKER_06
transcript.pyannote[3207].start 25359.93284375
transcript.pyannote[3207].end 25359.94971875
transcript.pyannote[3208].speaker SPEAKER_09
transcript.pyannote[3208].start 25359.94971875
transcript.pyannote[3208].end 25363.52721875
transcript.pyannote[3209].speaker SPEAKER_06
transcript.pyannote[3209].start 25367.56034375
transcript.pyannote[3209].end 25368.50534375
transcript.pyannote[3210].speaker SPEAKER_06
transcript.pyannote[3210].start 25368.58971875
transcript.pyannote[3210].end 25376.13284375
transcript.pyannote[3211].speaker SPEAKER_06
transcript.pyannote[3211].start 25376.33534375
transcript.pyannote[3211].end 25393.00784375
transcript.pyannote[3212].speaker SPEAKER_18
transcript.pyannote[3212].start 25393.53096875
transcript.pyannote[3212].end 25400.31471875
transcript.pyannote[3213].speaker SPEAKER_18
transcript.pyannote[3213].start 25400.53409375
transcript.pyannote[3213].end 25410.08534375
transcript.pyannote[3214].speaker SPEAKER_18
transcript.pyannote[3214].start 25410.25409375
transcript.pyannote[3214].end 25415.36721875
transcript.pyannote[3215].speaker SPEAKER_06
transcript.pyannote[3215].start 25412.21159375
transcript.pyannote[3215].end 25413.02159375
transcript.pyannote[3216].speaker SPEAKER_06
transcript.pyannote[3216].start 25413.88221875
transcript.pyannote[3216].end 25415.38409375
transcript.pyannote[3217].speaker SPEAKER_18
transcript.pyannote[3217].start 25415.38409375
transcript.pyannote[3217].end 25415.45159375
transcript.pyannote[3218].speaker SPEAKER_06
transcript.pyannote[3218].start 25415.45159375
transcript.pyannote[3218].end 25415.51909375
transcript.pyannote[3219].speaker SPEAKER_18
transcript.pyannote[3219].start 25415.51909375
transcript.pyannote[3219].end 25415.67096875
transcript.pyannote[3220].speaker SPEAKER_06
transcript.pyannote[3220].start 25415.67096875
transcript.pyannote[3220].end 25415.78909375
transcript.pyannote[3221].speaker SPEAKER_18
transcript.pyannote[3221].start 25415.78909375
transcript.pyannote[3221].end 25415.82284375
transcript.pyannote[3222].speaker SPEAKER_06
transcript.pyannote[3222].start 25415.82284375
transcript.pyannote[3222].end 25415.83971875
transcript.pyannote[3223].speaker SPEAKER_18
transcript.pyannote[3223].start 25415.83971875
transcript.pyannote[3223].end 25415.95784375
transcript.pyannote[3224].speaker SPEAKER_06
transcript.pyannote[3224].start 25415.95784375
transcript.pyannote[3224].end 25418.13471875
transcript.pyannote[3225].speaker SPEAKER_18
transcript.pyannote[3225].start 25415.97471875
transcript.pyannote[3225].end 25417.52721875
transcript.pyannote[3226].speaker SPEAKER_06
transcript.pyannote[3226].start 25418.84346875
transcript.pyannote[3226].end 25420.27784375
transcript.pyannote[3227].speaker SPEAKER_06
transcript.pyannote[3227].start 25420.36221875
transcript.pyannote[3227].end 25421.30721875
transcript.pyannote[3228].speaker SPEAKER_06
transcript.pyannote[3228].start 25421.72909375
transcript.pyannote[3228].end 25441.94534375
transcript.pyannote[3229].speaker SPEAKER_18
transcript.pyannote[3229].start 25435.48221875
transcript.pyannote[3229].end 25436.34284375
transcript.pyannote[3230].speaker SPEAKER_18
transcript.pyannote[3230].start 25436.54534375
transcript.pyannote[3230].end 25438.63784375
transcript.pyannote[3231].speaker SPEAKER_18
transcript.pyannote[3231].start 25442.70471875
transcript.pyannote[3231].end 25453.28534375
transcript.pyannote[3232].speaker SPEAKER_06
transcript.pyannote[3232].start 25453.28534375
transcript.pyannote[3232].end 25491.27096875
transcript.pyannote[3233].speaker SPEAKER_10
transcript.pyannote[3233].start 25481.07846875
transcript.pyannote[3233].end 25481.11221875
transcript.pyannote[3234].speaker SPEAKER_00
transcript.pyannote[3234].start 25481.11221875
transcript.pyannote[3234].end 25481.12909375
transcript.pyannote[3235].speaker SPEAKER_03
transcript.pyannote[3235].start 25481.12909375
transcript.pyannote[3235].end 25481.97284375
transcript.pyannote[3236].speaker SPEAKER_10
transcript.pyannote[3236].start 25481.97284375
transcript.pyannote[3236].end 25485.22971875
transcript.pyannote[3237].speaker SPEAKER_00
transcript.pyannote[3237].start 25485.22971875
transcript.pyannote[3237].end 25485.29721875
transcript.pyannote[3238].speaker SPEAKER_10
transcript.pyannote[3238].start 25489.68471875
transcript.pyannote[3238].end 25490.34284375
transcript.pyannote[3239].speaker SPEAKER_06
transcript.pyannote[3239].start 25491.54096875
transcript.pyannote[3239].end 25503.97784375
transcript.pyannote[3240].speaker SPEAKER_00
transcript.pyannote[3240].start 25491.74346875
transcript.pyannote[3240].end 25492.60409375
transcript.pyannote[3241].speaker SPEAKER_10
transcript.pyannote[3241].start 25492.60409375
transcript.pyannote[3241].end 25493.46471875
transcript.pyannote[3242].speaker SPEAKER_00
transcript.pyannote[3242].start 25493.46471875
transcript.pyannote[3242].end 25493.88659375
transcript.pyannote[3243].speaker SPEAKER_18
transcript.pyannote[3243].start 25504.61909375
transcript.pyannote[3243].end 25521.54471875
transcript.pyannote[3244].speaker SPEAKER_06
transcript.pyannote[3244].start 25519.55346875
transcript.pyannote[3244].end 25521.56159375
transcript.pyannote[3245].speaker SPEAKER_18
transcript.pyannote[3245].start 25521.56159375
transcript.pyannote[3245].end 25521.71346875
transcript.pyannote[3246].speaker SPEAKER_06
transcript.pyannote[3246].start 25521.71346875
transcript.pyannote[3246].end 25521.91596875
transcript.pyannote[3247].speaker SPEAKER_18
transcript.pyannote[3247].start 25521.91596875
transcript.pyannote[3247].end 25522.25346875
transcript.pyannote[3248].speaker SPEAKER_06
transcript.pyannote[3248].start 25522.25346875
transcript.pyannote[3248].end 25526.84346875
transcript.pyannote[3249].speaker SPEAKER_18
transcript.pyannote[3249].start 25522.27034375
transcript.pyannote[3249].end 25523.21534375
transcript.pyannote[3250].speaker SPEAKER_18
transcript.pyannote[3250].start 25526.84346875
transcript.pyannote[3250].end 25527.56909375
transcript.pyannote[3251].speaker SPEAKER_06
transcript.pyannote[3251].start 25527.56909375
transcript.pyannote[3251].end 25527.58596875
transcript.pyannote[3252].speaker SPEAKER_18
transcript.pyannote[3252].start 25527.58596875
transcript.pyannote[3252].end 25527.77159375
transcript.pyannote[3253].speaker SPEAKER_06
transcript.pyannote[3253].start 25527.77159375
transcript.pyannote[3253].end 25527.90659375
transcript.pyannote[3254].speaker SPEAKER_18
transcript.pyannote[3254].start 25527.90659375
transcript.pyannote[3254].end 25531.93971875
transcript.pyannote[3255].speaker SPEAKER_06
transcript.pyannote[3255].start 25527.92346875
transcript.pyannote[3255].end 25528.98659375
transcript.pyannote[3256].speaker SPEAKER_06
transcript.pyannote[3256].start 25530.35346875
transcript.pyannote[3256].end 25555.78409375
transcript.pyannote[3257].speaker SPEAKER_18
transcript.pyannote[3257].start 25557.18471875
transcript.pyannote[3257].end 25557.89346875
transcript.pyannote[3258].speaker SPEAKER_06
transcript.pyannote[3258].start 25557.89346875
transcript.pyannote[3258].end 25572.89534375
transcript.pyannote[3259].speaker SPEAKER_18
transcript.pyannote[3259].start 25557.91034375
transcript.pyannote[3259].end 25558.04534375
transcript.pyannote[3260].speaker SPEAKER_18
transcript.pyannote[3260].start 25573.38471875
transcript.pyannote[3260].end 25576.89471875
transcript.pyannote[3261].speaker SPEAKER_18
transcript.pyannote[3261].start 25577.04659375
transcript.pyannote[3261].end 25582.34534375
transcript.pyannote[3262].speaker SPEAKER_06
transcript.pyannote[3262].start 25580.60721875
transcript.pyannote[3262].end 25581.06284375
transcript.pyannote[3263].speaker SPEAKER_06
transcript.pyannote[3263].start 25581.72096875
transcript.pyannote[3263].end 25592.94284375
transcript.pyannote[3264].speaker SPEAKER_18
transcript.pyannote[3264].start 25593.48284375
transcript.pyannote[3264].end 25593.66846875
transcript.pyannote[3265].speaker SPEAKER_18
transcript.pyannote[3265].start 25594.19159375
transcript.pyannote[3265].end 25612.12971875
transcript.pyannote[3266].speaker SPEAKER_06
transcript.pyannote[3266].start 25611.23534375
transcript.pyannote[3266].end 25661.62409375
transcript.pyannote[3267].speaker SPEAKER_18
transcript.pyannote[3267].start 25662.28221875
transcript.pyannote[3267].end 25684.08471875
transcript.pyannote[3268].speaker SPEAKER_06
transcript.pyannote[3268].start 25664.02034375
transcript.pyannote[3268].end 25665.26909375
transcript.pyannote[3269].speaker SPEAKER_06
transcript.pyannote[3269].start 25668.17159375
transcript.pyannote[3269].end 25669.21784375
transcript.pyannote[3270].speaker SPEAKER_06
transcript.pyannote[3270].start 25669.58909375
transcript.pyannote[3270].end 25670.82096875
transcript.pyannote[3271].speaker SPEAKER_06
transcript.pyannote[3271].start 25673.89221875
transcript.pyannote[3271].end 25678.00971875
transcript.pyannote[3272].speaker SPEAKER_06
transcript.pyannote[3272].start 25678.36409375
transcript.pyannote[3272].end 25678.87034375
transcript.pyannote[3273].speaker SPEAKER_06
transcript.pyannote[3273].start 25679.03909375
transcript.pyannote[3273].end 25682.17784375
transcript.pyannote[3274].speaker SPEAKER_06
transcript.pyannote[3274].start 25682.70096875
transcript.pyannote[3274].end 25683.79784375
transcript.pyannote[3275].speaker SPEAKER_18
transcript.pyannote[3275].start 25684.23659375
transcript.pyannote[3275].end 25689.72096875
transcript.pyannote[3276].speaker SPEAKER_06
transcript.pyannote[3276].start 25687.96596875
transcript.pyannote[3276].end 25688.43846875
transcript.pyannote[3277].speaker SPEAKER_18
transcript.pyannote[3277].start 25690.44659375
transcript.pyannote[3277].end 25690.46346875
transcript.pyannote[3278].speaker SPEAKER_06
transcript.pyannote[3278].start 25690.46346875
transcript.pyannote[3278].end 25730.84534375
transcript.pyannote[3279].speaker SPEAKER_18
transcript.pyannote[3279].start 25731.30096875
transcript.pyannote[3279].end 25738.64159375
transcript.pyannote[3280].speaker SPEAKER_18
transcript.pyannote[3280].start 25738.94534375
transcript.pyannote[3280].end 25752.47909375
transcript.pyannote[3281].speaker SPEAKER_06
transcript.pyannote[3281].start 25752.47909375
transcript.pyannote[3281].end 25797.63659375
transcript.pyannote[3282].speaker SPEAKER_18
transcript.pyannote[3282].start 25797.92346875
transcript.pyannote[3282].end 25803.94784375
transcript.pyannote[3283].speaker SPEAKER_18
transcript.pyannote[3283].start 25804.25159375
transcript.pyannote[3283].end 25810.76534375
transcript.pyannote[3284].speaker SPEAKER_18
transcript.pyannote[3284].start 25810.96784375
transcript.pyannote[3284].end 25816.06409375
transcript.pyannote[3285].speaker SPEAKER_18
transcript.pyannote[3285].start 25816.80659375
transcript.pyannote[3285].end 25824.14721875
transcript.pyannote[3286].speaker SPEAKER_18
transcript.pyannote[3286].start 25824.70409375
transcript.pyannote[3286].end 25827.06659375
transcript.pyannote[3287].speaker SPEAKER_18
transcript.pyannote[3287].start 25827.31971875
transcript.pyannote[3287].end 25833.44534375
transcript.pyannote[3288].speaker SPEAKER_06
transcript.pyannote[3288].start 25832.92221875
transcript.pyannote[3288].end 25843.97534375
transcript.pyannote[3289].speaker SPEAKER_18
transcript.pyannote[3289].start 25840.31346875
transcript.pyannote[3289].end 25842.11909375
transcript.pyannote[3290].speaker SPEAKER_18
transcript.pyannote[3290].start 25843.97534375
transcript.pyannote[3290].end 25844.02596875
transcript.pyannote[3291].speaker SPEAKER_06
transcript.pyannote[3291].start 25844.02596875
transcript.pyannote[3291].end 25844.04284375
transcript.pyannote[3292].speaker SPEAKER_18
transcript.pyannote[3292].start 25844.04284375
transcript.pyannote[3292].end 25844.05971875
transcript.pyannote[3293].speaker SPEAKER_06
transcript.pyannote[3293].start 25844.05971875
transcript.pyannote[3293].end 25844.11034375
transcript.pyannote[3294].speaker SPEAKER_18
transcript.pyannote[3294].start 25844.11034375
transcript.pyannote[3294].end 25846.08471875
transcript.pyannote[3295].speaker SPEAKER_06
transcript.pyannote[3295].start 25844.27909375
transcript.pyannote[3295].end 25845.35909375
transcript.pyannote[3296].speaker SPEAKER_18
transcript.pyannote[3296].start 25846.11846875
transcript.pyannote[3296].end 25862.99346875
transcript.pyannote[3297].speaker SPEAKER_03
transcript.pyannote[3297].start 25849.67909375
transcript.pyannote[3297].end 25849.72971875
transcript.pyannote[3298].speaker SPEAKER_06
transcript.pyannote[3298].start 25849.72971875
transcript.pyannote[3298].end 25850.03346875
transcript.pyannote[3299].speaker SPEAKER_06
transcript.pyannote[3299].start 25856.91846875
transcript.pyannote[3299].end 25859.28096875
transcript.pyannote[3300].speaker SPEAKER_06
transcript.pyannote[3300].start 25861.15409375
transcript.pyannote[3300].end 25871.14409375
transcript.pyannote[3301].speaker SPEAKER_18
transcript.pyannote[3301].start 25867.19534375
transcript.pyannote[3301].end 25868.02221875
transcript.pyannote[3302].speaker SPEAKER_18
transcript.pyannote[3302].start 25868.84909375
transcript.pyannote[3302].end 25869.59159375
transcript.pyannote[3303].speaker SPEAKER_18
transcript.pyannote[3303].start 25870.35096875
transcript.pyannote[3303].end 25870.72221875
transcript.pyannote[3304].speaker SPEAKER_18
transcript.pyannote[3304].start 25871.14409375
transcript.pyannote[3304].end 25881.33659375
transcript.pyannote[3305].speaker SPEAKER_18
transcript.pyannote[3305].start 25881.72471875
transcript.pyannote[3305].end 25881.75846875
transcript.pyannote[3306].speaker SPEAKER_06
transcript.pyannote[3306].start 25881.75846875
transcript.pyannote[3306].end 25881.97784375
transcript.pyannote[3307].speaker SPEAKER_18
transcript.pyannote[3307].start 25881.97784375
transcript.pyannote[3307].end 25882.02846875
transcript.pyannote[3308].speaker SPEAKER_06
transcript.pyannote[3308].start 25882.02846875
transcript.pyannote[3308].end 25885.89284375
transcript.pyannote[3309].speaker SPEAKER_18
transcript.pyannote[3309].start 25886.11221875
transcript.pyannote[3309].end 25894.29659375
transcript.pyannote[3310].speaker SPEAKER_06
transcript.pyannote[3310].start 25888.22159375
transcript.pyannote[3310].end 25894.81971875
transcript.pyannote[3311].speaker SPEAKER_00
transcript.pyannote[3311].start 25894.29659375
transcript.pyannote[3311].end 25894.39784375
transcript.pyannote[3312].speaker SPEAKER_06
transcript.pyannote[3312].start 25894.93784375
transcript.pyannote[3312].end 25904.75909375
transcript.pyannote[3313].speaker SPEAKER_18
transcript.pyannote[3313].start 25905.34971875
transcript.pyannote[3313].end 25907.44221875
transcript.pyannote[3314].speaker SPEAKER_18
transcript.pyannote[3314].start 25907.52659375
transcript.pyannote[3314].end 25920.68909375
transcript.pyannote[3315].speaker SPEAKER_06
transcript.pyannote[3315].start 25908.20159375
transcript.pyannote[3315].end 25910.49659375
transcript.pyannote[3316].speaker SPEAKER_06
transcript.pyannote[3316].start 25916.90909375
transcript.pyannote[3316].end 25928.38409375
transcript.pyannote[3317].speaker SPEAKER_18
transcript.pyannote[3317].start 25923.25409375
transcript.pyannote[3317].end 25925.97096875
transcript.pyannote[3318].speaker SPEAKER_18
transcript.pyannote[3318].start 25926.86534375
transcript.pyannote[3318].end 25928.35034375
transcript.pyannote[3319].speaker SPEAKER_18
transcript.pyannote[3319].start 25928.38409375
transcript.pyannote[3319].end 25931.26971875
transcript.pyannote[3320].speaker SPEAKER_06
transcript.pyannote[3320].start 25931.45534375
transcript.pyannote[3320].end 25937.10846875
transcript.pyannote[3321].speaker SPEAKER_18
transcript.pyannote[3321].start 25937.47971875
transcript.pyannote[3321].end 25938.39096875
transcript.pyannote[3322].speaker SPEAKER_18
transcript.pyannote[3322].start 25938.61034375
transcript.pyannote[3322].end 25942.60971875
transcript.pyannote[3323].speaker SPEAKER_06
transcript.pyannote[3323].start 25938.84659375
transcript.pyannote[3323].end 25939.58909375
transcript.pyannote[3324].speaker SPEAKER_06
transcript.pyannote[3324].start 25942.60971875
transcript.pyannote[3324].end 25968.96846875
transcript.pyannote[3325].speaker SPEAKER_18
transcript.pyannote[3325].start 25946.40659375
transcript.pyannote[3325].end 25946.74409375
transcript.pyannote[3326].speaker SPEAKER_03
transcript.pyannote[3326].start 25954.52346875
transcript.pyannote[3326].end 25956.97034375
transcript.pyannote[3327].speaker SPEAKER_10
transcript.pyannote[3327].start 25956.97034375
transcript.pyannote[3327].end 25957.79721875
transcript.pyannote[3328].speaker SPEAKER_00
transcript.pyannote[3328].start 25957.79721875
transcript.pyannote[3328].end 25957.88159375
transcript.pyannote[3329].speaker SPEAKER_00
transcript.pyannote[3329].start 25958.42159375
transcript.pyannote[3329].end 25958.43846875
transcript.pyannote[3330].speaker SPEAKER_10
transcript.pyannote[3330].start 25958.43846875
transcript.pyannote[3330].end 25959.19784375
transcript.pyannote[3331].speaker SPEAKER_00
transcript.pyannote[3331].start 25959.19784375
transcript.pyannote[3331].end 25959.92346875
transcript.pyannote[3332].speaker SPEAKER_10
transcript.pyannote[3332].start 25959.92346875
transcript.pyannote[3332].end 25960.96971875
transcript.pyannote[3333].speaker SPEAKER_00
transcript.pyannote[3333].start 25960.96971875
transcript.pyannote[3333].end 25962.03284375
transcript.pyannote[3334].speaker SPEAKER_03
transcript.pyannote[3334].start 25962.03284375
transcript.pyannote[3334].end 25963.26471875
transcript.pyannote[3335].speaker SPEAKER_18
transcript.pyannote[3335].start 25968.37784375
transcript.pyannote[3335].end 25968.46221875
transcript.pyannote[3336].speaker SPEAKER_18
transcript.pyannote[3336].start 25968.47909375
transcript.pyannote[3336].end 25968.49596875
transcript.pyannote[3337].speaker SPEAKER_18
transcript.pyannote[3337].start 25968.96846875
transcript.pyannote[3337].end 25969.55909375
transcript.pyannote[3338].speaker SPEAKER_06
transcript.pyannote[3338].start 25970.03159375
transcript.pyannote[3338].end 25970.04846875
transcript.pyannote[3339].speaker SPEAKER_18
transcript.pyannote[3339].start 25970.04846875
transcript.pyannote[3339].end 25971.78659375
transcript.pyannote[3340].speaker SPEAKER_18
transcript.pyannote[3340].start 25972.32659375
transcript.pyannote[3340].end 25974.03096875
transcript.pyannote[3341].speaker SPEAKER_18
transcript.pyannote[3341].start 25974.18284375
transcript.pyannote[3341].end 25975.46534375
transcript.pyannote[3342].speaker SPEAKER_10
transcript.pyannote[3342].start 25974.23346875
transcript.pyannote[3342].end 25974.28409375
transcript.pyannote[3343].speaker SPEAKER_06
transcript.pyannote[3343].start 25974.28409375
transcript.pyannote[3343].end 25975.34721875
transcript.pyannote[3344].speaker SPEAKER_18
transcript.pyannote[3344].start 25975.90409375
transcript.pyannote[3344].end 25979.44784375
transcript.pyannote[3345].speaker SPEAKER_06
transcript.pyannote[3345].start 25978.38471875
transcript.pyannote[3345].end 25990.12971875
transcript.pyannote[3346].speaker SPEAKER_18
transcript.pyannote[3346].start 25980.34221875
transcript.pyannote[3346].end 25980.66284375
transcript.pyannote[3347].speaker SPEAKER_18
transcript.pyannote[3347].start 25981.23659375
transcript.pyannote[3347].end 25981.77659375
transcript.pyannote[3348].speaker SPEAKER_18
transcript.pyannote[3348].start 25989.96096875
transcript.pyannote[3348].end 25992.49221875
transcript.pyannote[3349].speaker SPEAKER_06
transcript.pyannote[3349].start 25991.12534375
transcript.pyannote[3349].end 26004.99659375
transcript.pyannote[3350].speaker SPEAKER_18
transcript.pyannote[3350].start 25992.64409375
transcript.pyannote[3350].end 25993.92659375
transcript.pyannote[3351].speaker SPEAKER_18
transcript.pyannote[3351].start 25994.16284375
transcript.pyannote[3351].end 25994.39909375
transcript.pyannote[3352].speaker SPEAKER_00
transcript.pyannote[3352].start 26002.83659375
transcript.pyannote[3352].end 26003.42721875
transcript.pyannote[3353].speaker SPEAKER_06
transcript.pyannote[3353].start 26005.19909375
transcript.pyannote[3353].end 26008.18596875
transcript.pyannote[3354].speaker SPEAKER_06
transcript.pyannote[3354].start 26008.72596875
transcript.pyannote[3354].end 26043.91034375
transcript.pyannote[3355].speaker SPEAKER_06
transcript.pyannote[3355].start 26044.51784375
transcript.pyannote[3355].end 26047.82534375
transcript.pyannote[3356].speaker SPEAKER_18
transcript.pyannote[3356].start 26048.26409375
transcript.pyannote[3356].end 26049.02346875
transcript.pyannote[3357].speaker SPEAKER_18
transcript.pyannote[3357].start 26049.25971875
transcript.pyannote[3357].end 26052.51659375
transcript.pyannote[3358].speaker SPEAKER_18
transcript.pyannote[3358].start 26052.85409375
transcript.pyannote[3358].end 26053.20846875
transcript.pyannote[3359].speaker SPEAKER_06
transcript.pyannote[3359].start 26053.20846875
transcript.pyannote[3359].end 26053.29284375
transcript.pyannote[3360].speaker SPEAKER_18
transcript.pyannote[3360].start 26053.29284375
transcript.pyannote[3360].end 26056.21221875
transcript.pyannote[3361].speaker SPEAKER_06
transcript.pyannote[3361].start 26053.34346875
transcript.pyannote[3361].end 26068.54784375
transcript.pyannote[3362].speaker SPEAKER_18
transcript.pyannote[3362].start 26056.95471875
transcript.pyannote[3362].end 26057.51159375
transcript.pyannote[3363].speaker SPEAKER_18
transcript.pyannote[3363].start 26065.37534375
transcript.pyannote[3363].end 26070.85971875
transcript.pyannote[3364].speaker SPEAKER_18
transcript.pyannote[3364].start 26070.87659375
transcript.pyannote[3364].end 26070.89346875
transcript.pyannote[3365].speaker SPEAKER_06
transcript.pyannote[3365].start 26070.89346875
transcript.pyannote[3365].end 26071.50096875
transcript.pyannote[3366].speaker SPEAKER_06
transcript.pyannote[3366].start 26071.63596875
transcript.pyannote[3366].end 26171.35034375
transcript.pyannote[3367].speaker SPEAKER_00
transcript.pyannote[3367].start 26082.36846875
transcript.pyannote[3367].end 26083.14471875
transcript.pyannote[3368].speaker SPEAKER_00
transcript.pyannote[3368].start 26083.61721875
transcript.pyannote[3368].end 26085.27096875
transcript.pyannote[3369].speaker SPEAKER_13
transcript.pyannote[3369].start 26110.43159375
transcript.pyannote[3369].end 26110.48221875
transcript.pyannote[3370].speaker SPEAKER_03
transcript.pyannote[3370].start 26110.48221875
transcript.pyannote[3370].end 26111.59596875
transcript.pyannote[3371].speaker SPEAKER_18
transcript.pyannote[3371].start 26171.62034375
transcript.pyannote[3371].end 26180.74971875
transcript.pyannote[3372].speaker SPEAKER_18
transcript.pyannote[3372].start 26181.20534375
transcript.pyannote[3372].end 26183.01096875
transcript.pyannote[3373].speaker SPEAKER_18
transcript.pyannote[3373].start 26183.33159375
transcript.pyannote[3373].end 26203.02471875
transcript.pyannote[3374].speaker SPEAKER_03
transcript.pyannote[3374].start 26192.57909375
transcript.pyannote[3374].end 26193.94596875
transcript.pyannote[3375].speaker SPEAKER_06
transcript.pyannote[3375].start 26203.02471875
transcript.pyannote[3375].end 26203.09221875
transcript.pyannote[3376].speaker SPEAKER_18
transcript.pyannote[3376].start 26203.09221875
transcript.pyannote[3376].end 26203.17659375
transcript.pyannote[3377].speaker SPEAKER_06
transcript.pyannote[3377].start 26203.17659375
transcript.pyannote[3377].end 26203.26096875
transcript.pyannote[3378].speaker SPEAKER_06
transcript.pyannote[3378].start 26203.64909375
transcript.pyannote[3378].end 26233.97346875
transcript.pyannote[3379].speaker SPEAKER_18
transcript.pyannote[3379].start 26233.97346875
transcript.pyannote[3379].end 26252.94096875
transcript.pyannote[3380].speaker SPEAKER_06
transcript.pyannote[3380].start 26241.61784375
transcript.pyannote[3380].end 26242.12409375
transcript.pyannote[3381].speaker SPEAKER_06
transcript.pyannote[3381].start 26251.81034375
transcript.pyannote[3381].end 26252.95784375
transcript.pyannote[3382].speaker SPEAKER_18
transcript.pyannote[3382].start 26252.95784375
transcript.pyannote[3382].end 26253.02534375
transcript.pyannote[3383].speaker SPEAKER_06
transcript.pyannote[3383].start 26253.02534375
transcript.pyannote[3383].end 26261.51346875
transcript.pyannote[3384].speaker SPEAKER_18
transcript.pyannote[3384].start 26261.64846875
transcript.pyannote[3384].end 26269.44471875
transcript.pyannote[3385].speaker SPEAKER_06
transcript.pyannote[3385].start 26263.65659375
transcript.pyannote[3385].end 26265.22596875
transcript.pyannote[3386].speaker SPEAKER_06
transcript.pyannote[3386].start 26268.61784375
transcript.pyannote[3386].end 26269.41096875
transcript.pyannote[3387].speaker SPEAKER_06
transcript.pyannote[3387].start 26269.44471875
transcript.pyannote[3387].end 26269.47846875
transcript.pyannote[3388].speaker SPEAKER_18
transcript.pyannote[3388].start 26269.47846875
transcript.pyannote[3388].end 26269.52909375
transcript.pyannote[3389].speaker SPEAKER_06
transcript.pyannote[3389].start 26269.52909375
transcript.pyannote[3389].end 26269.56284375
transcript.pyannote[3390].speaker SPEAKER_18
transcript.pyannote[3390].start 26269.56284375
transcript.pyannote[3390].end 26270.03534375
transcript.pyannote[3391].speaker SPEAKER_06
transcript.pyannote[3391].start 26270.03534375
transcript.pyannote[3391].end 26270.49096875
transcript.pyannote[3392].speaker SPEAKER_18
transcript.pyannote[3392].start 26270.49096875
transcript.pyannote[3392].end 26271.36846875
transcript.pyannote[3393].speaker SPEAKER_06
transcript.pyannote[3393].start 26270.55846875
transcript.pyannote[3393].end 26293.79534375
transcript.pyannote[3394].speaker SPEAKER_18
transcript.pyannote[3394].start 26294.23409375
transcript.pyannote[3394].end 26308.24034375
transcript.pyannote[3395].speaker SPEAKER_18
transcript.pyannote[3395].start 26308.67909375
transcript.pyannote[3395].end 26312.03721875
transcript.pyannote[3396].speaker SPEAKER_18
transcript.pyannote[3396].start 26312.17221875
transcript.pyannote[3396].end 26314.85534375
transcript.pyannote[3397].speaker SPEAKER_18
transcript.pyannote[3397].start 26315.36159375
transcript.pyannote[3397].end 26321.31846875
transcript.pyannote[3398].speaker SPEAKER_10
transcript.pyannote[3398].start 26318.68596875
transcript.pyannote[3398].end 26318.97284375
transcript.pyannote[3399].speaker SPEAKER_00
transcript.pyannote[3399].start 26318.97284375
transcript.pyannote[3399].end 26319.09096875
transcript.pyannote[3400].speaker SPEAKER_18
transcript.pyannote[3400].start 26321.58846875
transcript.pyannote[3400].end 26322.14534375
transcript.pyannote[3401].speaker SPEAKER_18
transcript.pyannote[3401].start 26322.61784375
transcript.pyannote[3401].end 26324.27159375
transcript.pyannote[3402].speaker SPEAKER_18
transcript.pyannote[3402].start 26324.62596875
transcript.pyannote[3402].end 26333.02971875
transcript.pyannote[3403].speaker SPEAKER_06
transcript.pyannote[3403].start 26333.02971875
transcript.pyannote[3403].end 26367.70784375
transcript.pyannote[3404].speaker SPEAKER_18
transcript.pyannote[3404].start 26366.57721875
transcript.pyannote[3404].end 26366.59409375
transcript.pyannote[3405].speaker SPEAKER_18
transcript.pyannote[3405].start 26366.62784375
transcript.pyannote[3405].end 26366.76284375
transcript.pyannote[3406].speaker SPEAKER_18
transcript.pyannote[3406].start 26367.97784375
transcript.pyannote[3406].end 26373.04034375
transcript.pyannote[3407].speaker SPEAKER_18
transcript.pyannote[3407].start 26373.27659375
transcript.pyannote[3407].end 26376.26346875
transcript.pyannote[3408].speaker SPEAKER_00
transcript.pyannote[3408].start 26375.62221875
transcript.pyannote[3408].end 26375.68971875
transcript.pyannote[3409].speaker SPEAKER_06
transcript.pyannote[3409].start 26375.68971875
transcript.pyannote[3409].end 26376.11159375
transcript.pyannote[3410].speaker SPEAKER_18
transcript.pyannote[3410].start 26376.49971875
transcript.pyannote[3410].end 26377.78221875
transcript.pyannote[3411].speaker SPEAKER_18
transcript.pyannote[3411].start 26378.06909375
transcript.pyannote[3411].end 26385.52784375
transcript.pyannote[3412].speaker SPEAKER_00
transcript.pyannote[3412].start 26381.96721875
transcript.pyannote[3412].end 26382.05159375
transcript.pyannote[3413].speaker SPEAKER_13
transcript.pyannote[3413].start 26382.05159375
transcript.pyannote[3413].end 26382.10221875
transcript.pyannote[3414].speaker SPEAKER_00
transcript.pyannote[3414].start 26382.10221875
transcript.pyannote[3414].end 26382.20346875
transcript.pyannote[3415].speaker SPEAKER_13
transcript.pyannote[3415].start 26382.20346875
transcript.pyannote[3415].end 26382.25409375
transcript.pyannote[3416].speaker SPEAKER_00
transcript.pyannote[3416].start 26382.25409375
transcript.pyannote[3416].end 26382.40596875
transcript.pyannote[3417].speaker SPEAKER_18
transcript.pyannote[3417].start 26385.89909375
transcript.pyannote[3417].end 26391.65346875
transcript.pyannote[3418].speaker SPEAKER_06
transcript.pyannote[3418].start 26390.80971875
transcript.pyannote[3418].end 26393.99909375
transcript.pyannote[3419].speaker SPEAKER_18
transcript.pyannote[3419].start 26393.67846875
transcript.pyannote[3419].end 26399.38221875
transcript.pyannote[3420].speaker SPEAKER_06
transcript.pyannote[3420].start 26399.92221875
transcript.pyannote[3420].end 26420.27346875
transcript.pyannote[3421].speaker SPEAKER_18
transcript.pyannote[3421].start 26420.40846875
transcript.pyannote[3421].end 26421.79221875
transcript.pyannote[3422].speaker SPEAKER_06
transcript.pyannote[3422].start 26422.01159375
transcript.pyannote[3422].end 26425.11659375
transcript.pyannote[3423].speaker SPEAKER_18
transcript.pyannote[3423].start 26425.31909375
transcript.pyannote[3423].end 26425.79159375
transcript.pyannote[3424].speaker SPEAKER_06
transcript.pyannote[3424].start 26425.79159375
transcript.pyannote[3424].end 26426.12909375
transcript.pyannote[3425].speaker SPEAKER_18
transcript.pyannote[3425].start 26426.75346875
transcript.pyannote[3425].end 26428.32284375
transcript.pyannote[3426].speaker SPEAKER_18
transcript.pyannote[3426].start 26428.35659375
transcript.pyannote[3426].end 26443.94909375
transcript.pyannote[3427].speaker SPEAKER_06
transcript.pyannote[3427].start 26434.41471875
transcript.pyannote[3427].end 26434.65096875
transcript.pyannote[3428].speaker SPEAKER_06
transcript.pyannote[3428].start 26439.40971875
transcript.pyannote[3428].end 26439.89909375
transcript.pyannote[3429].speaker SPEAKER_06
transcript.pyannote[3429].start 26443.12221875
transcript.pyannote[3429].end 26459.08596875
transcript.pyannote[3430].speaker SPEAKER_18
transcript.pyannote[3430].start 26458.10721875
transcript.pyannote[3430].end 26458.88346875
transcript.pyannote[3431].speaker SPEAKER_18
transcript.pyannote[3431].start 26459.23784375
transcript.pyannote[3431].end 26464.72221875
transcript.pyannote[3432].speaker SPEAKER_18
transcript.pyannote[3432].start 26464.97534375
transcript.pyannote[3432].end 26466.46034375
transcript.pyannote[3433].speaker SPEAKER_18
transcript.pyannote[3433].start 26466.73034375
transcript.pyannote[3433].end 26472.53534375
transcript.pyannote[3434].speaker SPEAKER_00
transcript.pyannote[3434].start 26470.89846875
transcript.pyannote[3434].end 26471.03346875
transcript.pyannote[3435].speaker SPEAKER_10
transcript.pyannote[3435].start 26471.03346875
transcript.pyannote[3435].end 26472.50159375
transcript.pyannote[3436].speaker SPEAKER_18
transcript.pyannote[3436].start 26473.49721875
transcript.pyannote[3436].end 26487.63846875
transcript.pyannote[3437].speaker SPEAKER_10
transcript.pyannote[3437].start 26476.36596875
transcript.pyannote[3437].end 26476.87221875
transcript.pyannote[3438].speaker SPEAKER_06
transcript.pyannote[3438].start 26485.66409375
transcript.pyannote[3438].end 26486.15346875
transcript.pyannote[3439].speaker SPEAKER_06
transcript.pyannote[3439].start 26486.86221875
transcript.pyannote[3439].end 26487.31784375
transcript.pyannote[3440].speaker SPEAKER_06
transcript.pyannote[3440].start 26487.92534375
transcript.pyannote[3440].end 26528.91471875
transcript.pyannote[3441].speaker SPEAKER_18
transcript.pyannote[3441].start 26527.32846875
transcript.pyannote[3441].end 26528.07096875
transcript.pyannote[3442].speaker SPEAKER_18
transcript.pyannote[3442].start 26528.91471875
transcript.pyannote[3442].end 26534.78721875
transcript.pyannote[3443].speaker SPEAKER_06
transcript.pyannote[3443].start 26531.63159375
transcript.pyannote[3443].end 26532.05346875
transcript.pyannote[3444].speaker SPEAKER_06
transcript.pyannote[3444].start 26534.33159375
transcript.pyannote[3444].end 26542.04346875
transcript.pyannote[3445].speaker SPEAKER_18
transcript.pyannote[3445].start 26539.05659375
transcript.pyannote[3445].end 26540.06909375
transcript.pyannote[3446].speaker SPEAKER_18
transcript.pyannote[3446].start 26541.06471875
transcript.pyannote[3446].end 26541.35159375
transcript.pyannote[3447].speaker SPEAKER_18
transcript.pyannote[3447].start 26541.75659375
transcript.pyannote[3447].end 26546.36346875
transcript.pyannote[3448].speaker SPEAKER_06
transcript.pyannote[3448].start 26545.06409375
transcript.pyannote[3448].end 26550.56534375
transcript.pyannote[3449].speaker SPEAKER_18
transcript.pyannote[3449].start 26550.02534375
transcript.pyannote[3449].end 26552.08409375
transcript.pyannote[3450].speaker SPEAKER_18
transcript.pyannote[3450].start 26552.97846875
transcript.pyannote[3450].end 26569.75221875
transcript.pyannote[3451].speaker SPEAKER_17
transcript.pyannote[3451].start 26556.11721875
transcript.pyannote[3451].end 26556.25221875
transcript.pyannote[3452].speaker SPEAKER_06
transcript.pyannote[3452].start 26556.25221875
transcript.pyannote[3452].end 26556.30284375
transcript.pyannote[3453].speaker SPEAKER_18
transcript.pyannote[3453].start 26569.98846875
transcript.pyannote[3453].end 26570.64659375
transcript.pyannote[3454].speaker SPEAKER_09
transcript.pyannote[3454].start 26571.28784375
transcript.pyannote[3454].end 26575.05096875
transcript.pyannote[3455].speaker SPEAKER_09
transcript.pyannote[3455].start 26575.37159375
transcript.pyannote[3455].end 26576.75534375
transcript.pyannote[3456].speaker SPEAKER_09
transcript.pyannote[3456].start 26578.17284375
transcript.pyannote[3456].end 26579.03346875
transcript.pyannote[3457].speaker SPEAKER_09
transcript.pyannote[3457].start 26591.65596875
transcript.pyannote[3457].end 26597.96721875
transcript.pyannote[3458].speaker SPEAKER_09
transcript.pyannote[3458].start 26598.43971875
transcript.pyannote[3458].end 26602.18596875
transcript.pyannote[3459].speaker SPEAKER_09
transcript.pyannote[3459].start 26602.52346875
transcript.pyannote[3459].end 26603.02971875
transcript.pyannote[3460].speaker SPEAKER_09
transcript.pyannote[3460].start 26603.33346875
transcript.pyannote[3460].end 26610.15096875
transcript.pyannote[3461].speaker SPEAKER_09
transcript.pyannote[3461].start 26610.53909375
transcript.pyannote[3461].end 26612.17596875
transcript.pyannote[3462].speaker SPEAKER_09
transcript.pyannote[3462].start 26612.95221875
transcript.pyannote[3462].end 26615.61846875
transcript.pyannote[3463].speaker SPEAKER_09
transcript.pyannote[3463].start 26615.97284375
transcript.pyannote[3463].end 26619.24659375
transcript.pyannote[3464].speaker SPEAKER_09
transcript.pyannote[3464].start 26619.90471875
transcript.pyannote[3464].end 26623.88721875
transcript.pyannote[3465].speaker SPEAKER_09
transcript.pyannote[3465].start 26623.98846875
transcript.pyannote[3465].end 26625.91221875
transcript.pyannote[3466].speaker SPEAKER_09
transcript.pyannote[3466].start 26626.73909375
transcript.pyannote[3466].end 26627.63346875
transcript.pyannote[3467].speaker SPEAKER_09
transcript.pyannote[3467].start 26628.17346875
transcript.pyannote[3467].end 26631.00846875
transcript.whisperx[0].start 1845.271
transcript.whisperx[0].end 1866.822
transcript.whisperx[0].text 報告全院委員會現在繼續開會今天分別審查司法院大法官被提名人廖福特、劉靜怡之資格及是否事任相關事項分別由每位被提名人說明10分鐘10分鐘後再進行委員詢問每位委員詢答時間20分鐘採疑問及答方式進行輪到詢問委員如不在場視為棄權
transcript.whisperx[1].start 1874.387
transcript.whisperx[1].end 1882.299
transcript.whisperx[1].text 現在先審查被提名人廖福特之資格相關事項請被提名人廖福特先生說明時間為10分鐘
transcript.whisperx[2].start 1899.229
transcript.whisperx[2].end 1928.007
transcript.whisperx[2].text 主席、各位委員、各位女士、各位先生大家好,我是廖福特非常榮幸今天能以司法院大法官備提名人身份在此向各位口頭說明並備詢有關我個人的成長背景、學術歷程及專業表現敬請參見我的簡歷及自傳與此,二要補充說明著重於我以《人權法》為執制的歷程期許成為憲法守護者之信念以及兩件相關事項之說明
transcript.whisperx[3].start 1929.557
transcript.whisperx[3].end 1955.071
transcript.whisperx[3].text 我以人權法為職制我從20歲開始探索憲法及國際人權法至今將近40年我沒有忘記心中的理想我依然持續堅持以人權法為職制我在大學求學期間立志從事法律學術研究並且熱愛憲法及國際法大學時著重於憲法在研究所就讀期間憲法與國際法交錯又在我心中響起
transcript.whisperx[4].start 1956.058
transcript.whisperx[4].end 1968.76
transcript.whisperx[4].text 於是兩者交錯之國際人權法成為堅固兩者的絕佳方向.也成為我學術研究之主軸.我的碩士及博士論文有關國際個人人權訴訟制度.及表現自由權之保障.
transcript.whisperx[5].start 1969.841
transcript.whisperx[5].end 1996.64
transcript.whisperx[5].text 我的國際人權法研究著重於歐洲及聯合國人權條約的權利內容及監督機制特別是歐洲人權公約及聯合國九大核心人權公約而其權利內容會涵蓋公民政治權利與經濟社會文化權兩大領域同時也強調婦女、兒童、身心障礙者、先習勞工等之權利保障我已研究國際人權條約國內法化之途徑及內容
transcript.whisperx[6].start 2000.407
transcript.whisperx[6].end 2007.648
transcript.whisperx[6].text 以便與國際人權接軌.需同時探討人權條約、憲法、法律之三角互動。
transcript.whisperx[7].start 2008.991
transcript.whisperx[7].end 2035.881
transcript.whisperx[7].text 我也專注於國家人權機構之研究作為設立國家人權委員會之知識基礎多年來我在東海大學、東吳大學、臺北大學、臺灣大學擔任教職主要教授國際人權法、憲法、國際公法等課程為國家培育人權法人才略盡綿薄之力長期以來我參與人權團體之人權推動以促進及保障人權
transcript.whisperx[8].start 2036.994
transcript.whisperx[8].end 2046.879
transcript.whisperx[8].text 我已參加臺灣法學會及臺灣國際法學會等學術社團之學術生化同時多年來我在總統府、行政院、立法院、考試院、監察院
transcript.whisperx[9].start 2048.852
transcript.whisperx[9].end 2073.514
transcript.whisperx[9].text 內政部、外交部、教育部、法務部等政府部門.提供人權法學術意見.協助人權相關法案、制度及內涵之建構及增進.我也曾經擔任台灣民主基金會執行長.促進及推廣國內外民主及人權工作及合作.我以人權法研究為基礎.參與社會改良工程
transcript.whisperx[10].start 2075.014
transcript.whisperx[10].end 2096.483
transcript.whisperx[10].text 第二個部分我要報告期許成為憲法守護者基於期許成為憲法守護者首先我會嚴守獨立審判憲法第80條規定法官須超出黨派之外依據法律獨立審判不受任何干涉此規定亦為大法官之憲法義務
transcript.whisperx[11].start 2097.583
transcript.whisperx[11].end 2112.309
transcript.whisperx[11].text 因而我將嚴格自我要求.基於司法獨立.我將不受任何外力之干涉.依據憲法規範獨立審判.同時.我也不因恣意.應該本於憲法規範.原則及理論而為審判.
transcript.whisperx[12].start 2114.622
transcript.whisperx[12].end 2140.68
transcript.whisperx[12].text 即是我將三進大法官之職責.司法院大法官組成憲法法庭.審理法規範憲法審查.及裁判憲法審查案件.機關爭議案件.總統及副總統彈劾案件.政黨違憲解散案件.地方自治保障案件.統一解釋法律及命令案件.我會專注於這些職責之工作.基於憲法獨立審判
transcript.whisperx[13].start 2142.523
transcript.whisperx[13].end 2161.762
transcript.whisperx[13].text 再者我將自我期許為人權捍衛者大法官與憲法法庭之職責中相當核心的部分應與人權保障有關而人權議題會牽涉四個主要層面包括權力主體、權力範圍、權力準則以及權力保障之義務者及其標準
transcript.whisperx[14].start 2163.186
transcript.whisperx[14].end 2185.403
transcript.whisperx[14].text 我國憲法基本權保障議會與此四個層面息息相關.不論是否已為憲法明定之基本權.均可透過此四個層面之論證.以完善權力保障之內涵.對於憲法基本權的詮釋.可以著重於三個面向.首先應該奠基於本國之理念.
transcript.whisperx[15].start 2185.922
transcript.whisperx[15].end 2202.873
transcript.whisperx[15].text 才不會失去根基。其次,亦得參考其他國家﹐這比較憲法實現經驗及理念﹐以增進憲法基本權之內涵。再者,因為國際人權法發展快速﹐人權理念已經成為普世之價值﹐
transcript.whisperx[16].start 2204.609
transcript.whisperx[16].end 2232.226
transcript.whisperx[16].text 國際上有憲法國際化及國際人權法憲法化之發展亦有在憲法中明定基本權之權勢應參酌國際人權標準之比較憲法案例雖然我國憲法並無相關明文規定.理論上亦可參考之第三個部分與此也請容許我說明兩件事情第一
transcript.whisperx[17].start 2232.915
transcript.whisperx[17].end 2256.723
transcript.whisperx[17].text 有關中天新聞台幻照案:我擔任此案之鑒定人:提供獨立客觀之法律意見:我的鑒定意見闡述通訊傳播基本法之理念:包括維護人性尊嚴:尊重弱勢權益:促進多元文化均衡發展:及珍惜通訊傳播稀有資源等價值
transcript.whisperx[18].start 2258.428
transcript.whisperx[18].end 2282.959
transcript.whisperx[18].text 進而依據衛星廣播電視法所規定之法定幻照審查要件.提供客觀之鑑定意見.包括正面及負面之情況.而鑑定人僅能提供意見供參考.並無資格及權利決定個案.新聞台與其他衛星電視台之相對比較結果.或是是否已經達到幻照之及格標準.
transcript.whisperx[19].start 2284.226
transcript.whisperx[19].end 2311.121
transcript.whisperx[19].text 第二件事情有關我擔任民主進步黨仲裁委員相關事宜民主進步黨仲裁委員會是政黨的司法機制職權為仲裁、政黨中央、機關、地方機關、黨員間之爭議而仲裁委員為無己職由學養俱佳、立場超然、處事公正之黨內外人士擔任之
transcript.whisperx[20].start 2312.516
transcript.whisperx[20].end 2338.075
transcript.whisperx[20].text .並應以獨立操攬之立場執行任務.仲裁委員並未參與政黨黨務之決定.同時我個人也並非任何政黨的黨員.若能獲得軍院同意擔任大法官.我將融合多年之學術研究.及社會參與之知識與經驗.竭盡所能陸力成為憲法守護者.及人權捍衛者
transcript.whisperx[21].start 2339.537
transcript.whisperx[21].end 2358.322
transcript.whisperx[21].text 感謝各位委員之聆聽也敬請各位委員指教萬分感謝謝謝好謝謝廖備提名人的說明現在進行委員詢問首先請楊委員求您詢問
transcript.whisperx[22].start 2368.761
transcript.whisperx[22].end 2378.279
transcript.whisperx[22].text 謝謝院會主席、張副院長、被提名者、我們各位同仁、新聞界的朋友、楊瓊瑛發言首先邀請被提名者請到被提名人答詢
transcript.whisperx[23].start 2391.384
transcript.whisperx[23].end 2409.756
transcript.whisperx[23].text 被提名者在現判自8號公佈之後已經大幅限縮了判處死刑、執行死刑的可能性但是現在也引起了社會大眾爭議越來越大你曾經擔任廢除死刑推動連門的執行委員
transcript.whisperx[24].start 2411.937
transcript.whisperx[24].end 2432.565
transcript.whisperx[24].text 法務部逐步廢死推動小組的成員在你的這個簡歷上面的期刊也特別寫出廢除死刑進行中資國際共識以及你長期以來的立場都是廢除死刑請問你現在仍然是支持廢除死刑嗎?
transcript.whisperx[25].start 2434.611
transcript.whisperx[25].end 2459.014
transcript.whisperx[25].text 養委員好那或許容許我來報告因為我剛才提到我是專研究國際人權法那國際人權法的研究的部分當然包括各種的人權的條約所以到目前宪判自8號出來的時候你現在的立場以及社會的氛圍你仍舊堅定的支持Face嗎?
transcript.whisperx[26].start 2459.924
transcript.whisperx[26].end 2488.957
transcript.whisperx[26].text 我向委員報告就是說以從國際人權條約的發展來看的話他大概是分為兩個階段第一個階段是在把他限制了被提名人因為時間的關係本席希望聽到提名人的方向、理念所以目前的狀態你是被提名人是大法官的被提名人所以到目前台灣的社會氛圍以及在我們的這個憲判之八號之後那現在的狀況你仍舊堅定的支持廢死嗎
transcript.whisperx[27].start 2489.784
transcript.whisperx[27].end 2515.694
transcript.whisperx[27].text 做我個人過去的學術研究來看的話過去是那請問本席也跟你說你的背景啦那現在呢因為社會的脈動慢慢從把它限縮到比較小的嚴謹的範圍然後在下一個階段邁向廢除死刑那我相信台灣的社會目前為止剛好處於的第一個階段那它可能未來在第二個階段是否要進行到廢除死刑的話應該可以透過社會更多的互動討論來脈動
transcript.whisperx[28].start 2518.575
transcript.whisperx[28].end 2533.3
transcript.whisperx[28].text 如此的說明是不是可以把你解讀為目前台灣的現象社會氛圍他還是不適於去全面的廢除死刑可以這麼解讀你剛才的說明嗎
transcript.whisperx[29].start 2533.98
transcript.whisperx[29].end 2535.622
transcript.whisperx[29].text 嚴謹的也就是實質廢死現在的社會大眾所說的你聽到嗎?
transcript.whisperx[30].start 2550.241
transcript.whisperx[30].end 2566.914
transcript.whisperx[30].text 我了解就是說因為這個部分是長期有民意採查長期有疑慮所以本席請把麥克風拉高一點那麼所以本席還是問你我們討論的第一個階段你現在在這一些的氛圍你都非常的清楚你現在仍然堅定支持廢死嗎?
transcript.whisperx[31].start 2567.981
transcript.whisperx[31].end 2596.294
transcript.whisperx[31].text 我個人還是剛才所說的在現在這個階段大家嚴謹那我的了解憲判是第8號的話他是就是參考公民政治權利公約第6條還有第36號一般性意見那為什麼會參考公民政治權利公約第6條跟第36號一般性意見就是我們在民國89年的時候有制定公民與政治權利公約及經濟社會文化權利公約的施行法把公民政治權利公約國內法化
transcript.whisperx[32].start 2596.934
transcript.whisperx[32].end 2619.408
transcript.whisperx[32].text 那因此他要求必須要實行限縮於最嚴重的犯罪同時經過人權事務委員會解釋之後這個最嚴重的犯罪的話應該限縮於故意殺人的部分可以聽到你對於國際的公約等非常的清楚但是我們認真回到我們台灣我們自己的國家
transcript.whisperx[33].start 2620.268
transcript.whisperx[33].end 2633.304
transcript.whisperx[33].text 目前的現狀在這個判決後限縮的死刑的一個適用範圍已經對判決出現了實質的影響舉例監察女老師的嫌犯在五度判死
transcript.whisperx[34].start 2634.451
transcript.whisperx[34].end 2656.826
transcript.whisperx[34].text 在今年的4月份根市審判決為根市審為無期徒刑逃死定焉在這樣的情況之下新竹輪胎行的縱火奪走了8條人命的這個嫌犯在二審的時候死刑被改判為無期徒刑昨天的新聞你有看到嗎
transcript.whisperx[35].start 2657.697
transcript.whisperx[35].end 2679.591
transcript.whisperx[35].text 我大約了解你有看到被害者家屬的哭求嗎?他呼籲大法官們不要廢死你有聽到嗎?你有沒有看到?我大約知道這個新聞你有看到齁?那你對這些家屬你對這些家屬的哭號目前的社會氛圍你對這些家屬有什麼話說呢?
transcript.whisperx[36].start 2680.612
transcript.whisperx[36].end 2705.168
transcript.whisperx[36].text 我跟委員報告我想在一個社會發生不幸的事件特別是嚴重的犯罪的時候我們應該有兩部分處理第一個我們應該處罰加害者特別是嚴重的犯罪處罰加害者是充分死刑改為無期徒刑加害者的哭求你說你看到了所以本席要請教你對於這些被害者的哭求
transcript.whisperx[37].start 2706.792
transcript.whisperx[37].end 2728.707
transcript.whisperx[37].text 你有什麼話對他們說另外一方面我們的社會應該要建構一個被害人的以及他家屬的保護以及再過去對他的一些援助幫忙的制度所以我們現在有一些犯罪被害人的保護法那如果我們這個保護的制度以及協助制度能夠去加強也就是我們應該是兩個面向
transcript.whisperx[38].start 2730.228
transcript.whisperx[38].end 2732.129
transcript.whisperx[38].text 你怎麼樣嚴處呢?你被害者家屬的痛苦
transcript.whisperx[39].start 2752.49
transcript.whisperx[39].end 2777.93
transcript.whisperx[39].text 還好的呼籲現階段台灣請大法官們不要廢死你聽到了沒你聽到了嗎所以你一方面說要對這個加害者必須要嚴處那你目前的氛圍是是更鬆啊但是對於受害者你說要怎麼保護他他已經是被由這個
transcript.whisperx[40].start 2783.257
transcript.whisperx[40].end 2801.75
transcript.whisperx[40].text 我都激動的說不出啊我很難過啊因為已經有死刑來改判為無期徒刑被害者的家屬的心聲我希望你可以去回應他們啊你願不願意正面的回應
transcript.whisperx[41].start 2803.082
transcript.whisperx[41].end 2819.281
transcript.whisperx[41].text 我相信我們的社會都不希望有悲劇的發生那不過跟各位報告就是說現在我們的制度是大法官也認為憲法法庭也認為此行是合憲的只是說他要嚴謹的順限縮範圍以及嚴謹的制度
transcript.whisperx[42].start 2821.764
transcript.whisperx[42].end 2836.73
transcript.whisperx[42].text 那我們的法律規範其實是特別是殺人罪的話實質判決已經這樣子的判決已經實質的影響到社會的氛圍我也請你去冷靜去思考之因為如果誠如你說的
transcript.whisperx[43].start 2838.666
transcript.whisperx[43].end 2857.282
transcript.whisperx[43].text 讓被害者能夠得到保護讓加害者要嚴懲但是您剛剛所說的論述剛好是相反這樣子的社會信服力是絕對不夠的接下來本校請問你曾經說過終身監禁不得假釋的刑罰那不值得考慮
transcript.whisperx[44].start 2858.558
transcript.whisperx[44].end 2858.858
transcript.whisperx[44].text 我如果記憶沒有錯的話
transcript.whisperx[45].start 2877.079
transcript.whisperx[45].end 2897.124
transcript.whisperx[45].text 我當時發言說那個無期徒刑不得假釋那個刑責是在一個公聽會的討論的過程當時的提案是說要對於如果殺害兒童的話他要把刑罰本來是從比如說10年以上有期徒刑然後無期徒刑跟死刑
transcript.whisperx[46].start 2897.944
transcript.whisperx[46].end 2919.98
transcript.whisperx[46].text 然後限縮只剩下死刑跟無期徒刑也就減少其他的部分不論你是在公聽會或者是什麼樣都會留下記錄這個論述所以本席要請教你如果有機會當上了大法官無論透過判決或者是其他的方式你還會繼續追求更進一步的終極廢死完全廢死嗎?
transcript.whisperx[47].start 2920.78
transcript.whisperx[47].end 2925.602
transcript.whisperx[47].text 你的模擬回答已經是社會目前的氛圍沒有辦法接受的因為八成的民意是支持
transcript.whisperx[48].start 2941.874
transcript.whisperx[48].end 2942.054
transcript.whisperx[48].text 你認同吧?
transcript.whisperx[49].start 2960.969
transcript.whisperx[49].end 2985.311
transcript.whisperx[49].text 感謝委員的指教那我們想一起來思考這整個他們社會的脈動不要讓受害者惡毒的傷害你都不願意正面回應當然這是我們共同的希望還好你補充所以本席要強調加害人權的時候你在強調加害人權的時候那你更要注意要更要注重我們整個
transcript.whisperx[50].start 2986.352
transcript.whisperx[50].end 3000.883
transcript.whisperx[50].text 善良者的一個權益善良的一個權益非常的重要接下來本期要跟你討論NCC這個連連敗訴的問題被提名的你曾經擔任的中間換照審查的鑑定人你當時以中間新聞台
transcript.whisperx[51].start 3001.583
transcript.whisperx[51].end 3020.891
transcript.whisperx[51].text 被開罰的件數、範圍跟罰款.很多的這些理由.批評中天.更說中天是危害的兒童、少年身心的健康.危害公共秩序、善良風俗.或者是他自撥新聞違法事實、查證的原則.後來中天關台了
transcript.whisperx[52].start 3022.592
transcript.whisperx[52].end 3035.788
transcript.whisperx[52].text 寫下了我國媒體被關檯的案例但是問題來了你鑑定完你罵完了結果呢中天對於這個罰則呢他提出了提起了這個行政訴訟已經21連勝也就是NCC罰處
transcript.whisperx[53].start 3042.435
transcript.whisperx[53].end 3065.689
transcript.whisperx[53].text 但是被法院打臉,NCC法處被法院打臉21次的敗訴,終天免罰在這樣情況之下請問當時你的鑑定的依據是什麼?你當時這些財主如果都是免罰那你還會一樣的做出走向關台的這個鑑定嗎?請做說明
transcript.whisperx[54].start 3069.215
transcript.whisperx[54].end 3088.382
transcript.whisperx[54].text 我擔任那個個案的鑑定人只是一個個案的鑑定人後續的所有的個案的話我並不了解細節那我當然已經說明過了你要甩鍋嗎你就是鑑定人啊鑑定人就要提出意見啊提供參考嘛當時你是這麼樣的一個方向嘛
transcript.whisperx[55].start 3090.905
transcript.whisperx[55].end 3118.871
transcript.whisperx[55].text 是當時我剛才已經說明了就當時的這個個案的話我是他有一個法律推論的脈絡這個法律推論的脈絡的話包括﹐法律推動的脈絡也就是你當時的鑑定所以本席要請教你當時鑑定的依據是什麼你現在已經按信息21連敗啊當時鑑定是依據廣播電視法廣播電視法它有基本的換照的要件
transcript.whisperx[56].start 3120.011
transcript.whisperx[56].end 3120.831
transcript.whisperx[56].text 我不能夠做鑑定那個結果
transcript.whisperx[57].start 3149.369
transcript.whisperx[57].end 3174.32
transcript.whisperx[57].text 本席告訴你鑒定不是結果你的提供鑒定你提供參考嗎我今天的意見還是一樣啊我剛才說了原則是一樣還是一樣依據廣播電視法來本席請教你既然告訴我還是一樣那你認為關台的結果是對還是不對因為你是大法官的提名人請以你現在的身分告訴我告訴本席你認為這個結果關台是對還是錯
transcript.whisperx[58].start 3177.421
transcript.whisperx[58].end 3191.945
transcript.whisperx[58].text 我沒有辦法判斷是對或錯因為我是鑑定人我只能去看他的這個要件是否符合那不論正面或負面我都要訴說那你的訴說你認為是對還是錯
transcript.whisperx[59].start 3196.375
transcript.whisperx[59].end 3222.526
transcript.whisperx[59].text 我個人的情況是我依據廣播電視法的要件看到正面跟負面的情況你對於因否裁罰難道沒有判斷嗎你依據廣播電視法的這個方向結果答案是連連被打臉所以你是一味的偏向當時的NCC嗎還是你根本不同意我願意跟你講還是你根本不同意現在法院的判決
transcript.whisperx[60].start 3224.006
transcript.whisperx[60].end 3242.313
transcript.whisperx[60].text 我個人的了解是其實我的建議意見現在網路上還可以查得到我如果沒有理解錯誤的話那換句話說NCC做出的決定被法院整個打臉的時候那麼本席再一次請教你認為是不是NCC被法院打臉
transcript.whisperx[61].start 3244.613
transcript.whisperx[61].end 3262.993
transcript.whisperx[61].text 本來本席認為你的學術涵養是非常的高本席希望能夠聽到一些論述但是你還是沒有辦法正面去回應所以我希望以下我們要討論的議題你能夠正面來回應
transcript.whisperx[62].start 3263.874
transcript.whisperx[62].end 3277.662
transcript.whisperx[62].text 好 我們來看看政治背景跟司法獨立的這個問題因為之所以會提到你的監禁人的過往是因為你的政治背景跟記錄都可能讓人認為你可以必備司法獨立
transcript.whisperx[63].start 3279.966
transcript.whisperx[63].end 3303.041
transcript.whisperx[63].text 這個特別的獨立性的這個符合大法官那所以呢因為你不只是長期的親綠你根本就是民進黨的高官因為你擔任過民進黨中央黨部仲裁委員你還是民進黨2024年不分區立委提名委員會的名單之一那麼你也擔任過這個賴清德先生就任黨主席的建交人那很多外界的人質疑
transcript.whisperx[64].start 3304.042
transcript.whisperx[64].end 3332.805
transcript.whisperx[64].text 副院長提名進總主委大法官提名這個民進黨的高層那民進黨把憲法法庭當成是自己開的嗎一般民眾看到這樣子的一個背景他都非常質疑他並不符合大法官的獨立超然的要素那你要如何的來說服民眾在你大法官的職務上面你可以保持政治中立並保持大法官在裁決重大案件的時候不受政治影響請做說明
transcript.whisperx[65].start 3334.821
transcript.whisperx[65].end 3348.554
transcript.whisperx[65].text 我剛才說過就是民進黨仲裁會的話他是一個司法的機制不要解釋因為大家很清楚請問你要如何說服社會大眾你如果成為大法官你要怎麼樣政治中立
transcript.whisperx[66].start 3349.275
transcript.whisperx[66].end 3378.232
transcript.whisperx[66].text 你在這個裁判的時候不受政治的影響請說說明我擔任仲裁會的委員本來就是政治中立的我們並沒有介入或是涉入任何的黨務好 你好一個政治中立那我就要告訴你我要告訴你也提醒提名人法律不是為政治服務的它更不能成為酬庸或者是有關係就沒關係部分黨派超然中立呢一定要謹記在心
transcript.whisperx[67].start 3379.502
transcript.whisperx[67].end 3395.589
transcript.whisperx[67].text 是當然是好一個是所以呢我也希望在當任上大法官的時候呢你不是只有聽從賴清哲先生也不是只有聽從民進黨的賴議大法官黨議大法官可以承諾嗎當然當然接下來可以承諾我們來討論貪污的問題喔立場的問題喔
transcript.whisperx[68].start 3399.651
transcript.whisperx[68].end 3416.599
transcript.whisperx[68].text 民進黨執政的時候多次傳出了這些貪污跟違法的爭議讓社會大眾有很大的疑慮但是我們看到目前為止民進黨的內部或高層的貪污我們看到社會大眾對於司法
transcript.whisperx[69].start 3417.479
transcript.whisperx[69].end 3441.917
transcript.whisperx[69].text 機關的處理:不管是它的速度:或者是結果都表示疑慮在這樣的情況之下:就成如臺原綠能的前董事長陳啟玉重大的案件臺南地檢申請羈押但是到了法院他說什麼他罪證不足所以就當庭釋放然後在看告的時候才會因為他不到庭所以在11月4號才發布通緝
transcript.whisperx[70].start 3445.299
transcript.whisperx[70].end 3465.609
transcript.whisperx[70].text 那院檢雙方遭質疑的時候就是說你沒有科技監控你也沒有延遲而且延遲開庭你縱容了這些縱容這些犯罪者可以脫逃在這樣的一個情況之下本席要請教社會大眾的這些噴擊你認為有道理嗎
transcript.whisperx[71].start 3467.568
transcript.whisperx[71].end 3495.814
transcript.whisperx[71].text 我想社會一定會關心各種的可能的貪污你認為有道理嗎當然社會會關心這個貪污的案件社會大眾有道理嗎你認為社會大眾的質疑有道理嗎就是他一定會關心各種的可能的你認為有沒有道理社會大眾關心一定是有道理的一定是有道理好一個有道理所以本期要請教你認為司法院的角色要怎麼樣去改善這些案件的處理呢請做說明
transcript.whisperx[72].start 3496.953
transcript.whisperx[72].end 3501.736
transcript.whisperx[72].text 請針對你現在是被提名者提出你的論述本席願意時間給你說明你要就你自己的一個論述嘛你一直提到所有的相關機關難怪很多人說你是高層啊
transcript.whisperx[73].start 3524.635
transcript.whisperx[73].end 3549.147
transcript.whisperx[73].text 你是高官啊你怎麼不講你的論述只有一直在講機關怎麼樣的、總統府怎麼樣的你現在是大法官的提名者嘛願意給你時間說明啊因為它是個案檢察官的偵查還有個案法院的判決這個部分的話應該由獨立的司法機關包括檢察官跟法院去做處理我們應該要尊重司法的獨立那就不要你大法官啊
transcript.whisperx[74].start 3549.787
transcript.whisperx[74].end 3577.539
transcript.whisperx[74].text 大法官要釋憲啊你這麼說就你完全沒有責任啊你當一個大法官都跟你都不相關啊從頭到尾你都沒有表達你自己的論述到底你現在還支持不支持死刑會不會終極死刑廢死你通通都不回答你通通都沒答出啊所以本席再次請教你會不會繼續的推動
transcript.whisperx[75].start 3579.155
transcript.whisperx[75].end 3581.496
transcript.whisperx[75].text 謝謝楊委員也謝謝貝廷銘人接下來請張祺凱委員詢問
transcript.whisperx[76].start 3636.933
transcript.whisperx[76].end 3640.897
transcript.whisperx[76].text 德甲主席、其他被提名人請調被提名人答詢早被提名人,你在五月份的時候曾經擔任法評會這個委員
transcript.whisperx[77].start 3661.427
transcript.whisperx[77].end 3672.736
transcript.whisperx[77].text 這陣子為了勞動部的霸凌案沸沸揚揚引起大家抗議的就是利益良善那句話結果發現你當選法評會委員的時候你們的這個評鑑裡面出現一句話
transcript.whisperx[78].start 3680.237
transcript.whisperx[78].end 3707.651
transcript.whisperx[78].text 這個懲戒法院的前院長李伯道退職他因為傳出說有適度性騷擾女部署女部署提出申戒之後司法院已經劇狀向你們法官評鑑委員會做個案評鑑結果你是裡面委員之一法評會直到監察院率先彈劾李伯道之後才敢建議撤職更嚴重的是畫面這一句話
transcript.whisperx[79].start 3709.517
transcript.whisperx[79].end 3734.226
transcript.whisperx[79].text 李博大被控、霸凌、羞辱了你工友跟你科長結果法庭會頒出一個他任內改革有功最後面那計畫非常的嚴重你是委員,你們那時候為什麼在評鑑的時候寫了這段話?不具重大的惡意沒有損及書法威信所以評鑑不成立你在霸凌跟被霸凌者之間你選擇站在霸凌者這邊嗎?關關相護嗎?當初怎麼會做這樣的評鑑?
transcript.whisperx[80].start 3739.262
transcript.whisperx[80].end 3762.131
transcript.whisperx[80].text 報告委員大家知道法官評鑑委員會是一個合意制的制度必須要全體委員去討論然後在做如果必要的時候做投票做決定那它有兩個階段第一個階段是有沒有成立第二個階段是說有沒有重大的情況
transcript.whisperx[81].start 3763.175
transcript.whisperx[81].end 3778.668
transcript.whisperx[81].text 那他的整個制度的運作的過程是這樣子大法官會議也是集體運作嘛你這個也是集體運作啊這裡面有人有意見喔周宇修他就回避喔
transcript.whisperx[82].start 3779.673
transcript.whisperx[82].end 3808.302
transcript.whisperx[82].text 你是沒有迴避你是參與到底的啊我現在提醒你第一個你是選擇在霸凌跟被霸凌者之間你到底站在哪一邊這不是跟勞動部那個霸凌的案子是一樣的嗎怎麼會出現不計重大惡意幫他偷墜嗎 評鑑不存在這是一個更離譜的還有第二句話你們還搬出說司法院曾經讚良李柏道任內改革有功你是寫法律的這何無邏輯嗎改革有功就可以霸凌嗎
transcript.whisperx[83].start 3811.138
transcript.whisperx[83].end 3840.181
transcript.whisperx[83].text 改革有功就可以霸凌嗎?李博道可以霸凌他的女工友、霸凌他的理科長?你們的報告裡面竟然說司法院說他任內改革有功所以憑藉不成立改革有功的人就可以霸凌別人嗎?這兩個點是不是都很嚴重?你現在是站在霸凌者那一方怎麼能夠同意你讓的大法官之後
transcript.whisperx[84].start 3841.243
transcript.whisperx[84].end 3843.509
transcript.whisperx[84].text 你會捍衛人權嗎?他會被霸凌者嗎?
transcript.whisperx[85].start 3844.872
transcript.whisperx[85].end 3844.892
transcript.whisperx[85].text 張文貞議員
transcript.whisperx[86].start 3876.312
transcript.whisperx[86].end 3877.773
transcript.whisperx[86].text 你現在如果通過了大法官你現在是到大法官會議裡面去你是一樣的態度嗎?
transcript.whisperx[87].start 3900.919
transcript.whisperx[87].end 3923.57
transcript.whisperx[87].text 你有沒有捍衛我們的人權嗎?有沒有捍衛、保護這個被霸凌者嗎?是,因為我再次說明,它真的是一個合意制的情況。我不應該說出那個合意制的過程跟內容。這是我不應該做的事情。那我們的意見就透過這個意見去呈現。
transcript.whisperx[88].start 3924.881
transcript.whisperx[88].end 3926.862
transcript.whisperx[88].text 你一直在強調你捍衛人權當然你看到兩個人被霸凌了
transcript.whisperx[89].start 3948.274
transcript.whisperx[89].end 3970.664
transcript.whisperx[89].text 你都沒有那個勇氣站出來幫他們講話我們怎麼相信你當了大法官之後你有那個道德勇氣貫徹你所謂捍衛人權嗎保障被霸凌者呢來我繼續看這次提名裡面很多人在討論的是你的政黨色彩你現在到底要準備要當憲法的守護神或者是守護者你是民進黨中央黨部仲裁委員會的主委
transcript.whisperx[90].start 3973.407
transcript.whisperx[90].end 4000.262
transcript.whisperx[90].text 民進黨執政黨的中央評委會是不是這麼簡單的你在給我回答的這個問卷裡面你說無幾職你不參加政黨活動你看一下這個照片這張照片賴清德接任民進黨黨主席你是兼交人欸很重要欸第二個這是不黨務活動黨主席的
transcript.whisperx[91].start 4004.018
transcript.whisperx[91].end 4011.094
transcript.whisperx[91].text 賴清德從代理主席陳其邁:手上接下的印信就職典禮 接行你黨務活動
transcript.whisperx[92].start 4013.488
transcript.whisperx[92].end 4037.691
transcript.whisperx[92].text 你不參加黨務活動這是黨務活動我跟主席 我跟那個委員報告就是說為什麼會由仲裁會主委來擔任主席的監事人就是因為仲裁會是一個獨立的機制他是一個獨立的機制因此由這個獨立的機制來擔任監事人那你如果定位你是不參與黨務活動的你就不要去參加這個嘛第二個你還參與了民進黨不分區的這個提名作業
transcript.whisperx[93].start 4039.071
transcript.whisperx[93].end 4063.764
transcript.whisperx[93].text 民進黨很重要你看一下你看這個媒體裡面對你的評價是怎麼樣法界人士說對廖福特的評價是很多見解都是台獨就是挺綠的台獨派啊你今天站在這邊就是一個機會啊你要解釋清楚你要怎麼去化解人民對你的這個餘力啊政黨身材這麼重現在大法官本來形象很好為什麼現在一落千丈變成執政黨的打手嘛
transcript.whisperx[94].start 4065.627
transcript.whisperx[94].end 4072.19
transcript.whisperx[94].text 跟委員報告就是我剛才強調的就是因為他是一個獨立的機制那我進一步說明比如仲裁會的委員的話他其實是由仲裁會委員自己去
transcript.whisperx[95].start 4095.322
transcript.whisperx[95].end 4113.834
transcript.whisperx[95].text 推選 至於推選根本不是黨主席提名的這是不是黨務活動所以為什麼法界那麼多人會認為說你是挺綠的嘛因為他是一個司法的機制我們來談下一個案子中天這個換照案剛剛楊瓊英、楊偉銘也問了你了我更關心的是你看一下這個圖
transcript.whisperx[96].start 4121.991
transcript.whisperx[96].end 4147.719
transcript.whisperx[96].text 你身為中天幻照案的鑑定人7位鑑定人你看這樣一個時間序10點30分你們7個人都在除了你之外有沈博洋、林立勤你看這些有功的人現在都當民進黨的立法委了你也坐在那邊我關心的是你到了下午2點04分的時候你不見了這裡面有兩個很重要的問題喔
transcript.whisperx[97].start 4149.585
transcript.whisperx[97].end 4178.37
transcript.whisperx[97].text 第一個你有沒有愧對你的職責你是鑑定人啊會開到五點你兩點零四分就不見了你以後當了大法官開會年一半要嘛不去要嘛就像這樣可以落跑嗎這是第一個第二個更重要的這一場換照也很重要嘛中天的法律代理一直問啊他說我想要詢問七位鑑定人啊啊你不在你不只愧對職責這麼重要的事情人家要問你
transcript.whisperx[98].start 4181.021
transcript.whisperx[98].end 4202.242
transcript.whisperx[98].text 找不到你問阿你為什麼要提前離職那你當個大法官是不是要提前離職提前離開位置我跟委員說明就我記憶所及因為我當天下午有另外的會議我已經事先跟NCC報告跟說明了說我當天在早上我可以參與可是下午我就沒有辦法參與
transcript.whisperx[99].start 4203.183
transcript.whisperx[99].end 4231.543
transcript.whisperx[99].text 那我記憶所及的是NCC有跟我們說就我們的鑑定意見是發表鑑定意見那可是並不會跟當時的人鑑定人很重要耶 攸關了一個電視台要不要關台而且你要接受人家的詢問嘛 對不對結果那一天你們是負責要接受詢問跟鑑定的人人家要找你的時候你已經不在了這個愧對職守的同時現在什麼 是高高在上嗎現在我們要不要審查要不要讓你過去看這個嘛
transcript.whisperx[100].start 4232.964
transcript.whisperx[100].end 4259.501
transcript.whisperx[100].text 我沒有擔心到時候你會不會開會開一半倒跑嘛所以你看我從一開始談已經談了三個案子要嘛你在會上你沒有保護這個被霸凌者然後在這個會上面你沒有讓那個去人家要問你的時候你已經不在了這如果這個兩個場景如果出現在大法官的會議不是只有你丟臉了台灣人會不會很丟臉會不會是我在容許我
transcript.whisperx[101].start 4260.242
transcript.whisperx[101].end 4286.585
transcript.whisperx[101].text 我説明剛才我説的第一點我已經事先跟NCC說了因為我下午有會議第二個我記憶所...所以你被提言你説你不重要反正你...反正剛剛講的你剛剛那個會你不表示意見你不重要那這個你可以請假就...你不重要嘛反正你隨時可以離開那第二個就是說...如果關一個電視台會不會關台就以後你當個大法官你要決定多少關於人民生命財產安全的事情你可以隨時請假可以隨時不在
transcript.whisperx[102].start 4288.74
transcript.whisperx[102].end 4313.373
transcript.whisperx[102].text 這並不是這樣子另外一個就是說他那個安排如果是鑑定人跟就是申請人或者是那個中天電視台他其實我記憶所及他本來就沒有特別的安排說是有鑑定人跟那個方式人就是中天電視台因為這個身份不適合啊所以你不重要嘛你不重要嘛那天你在不在都不重要嘛可是後來電視台被關牌了嘛對不對
transcript.whisperx[103].start 4315.155
transcript.whisperx[103].end 4342.293
transcript.whisperx[103].text 就算你如果當不當大法官也不重要嘛來我們來談廢死的這個事情廢死昨天有一個很重要的就是大法官宣布實施廢死之後第一個逃死的案子定讞了陳彥祥輪胎行這個縱火案燒死了8條人命8個都是他的至親可是他逃 昨天他變成無期徒刑了家屬非常絕望的吶喊
transcript.whisperx[104].start 4343.496
transcript.whisperx[104].end 4371.31
transcript.whisperx[104].text 妹們還不算情節最嚴重嗎?妹們還不算情節最嚴重嗎?還有施斗獎你教師隨機殺人啊不算情節重大大家看那個他的先生拿著他的遺物他上個禮拜來立法院參加公聽會
transcript.whisperx[105].start 4372.824
transcript.whisperx[105].end 4395.641
transcript.whisperx[105].text 他講到韓國瑜院長都忍不住都掉眼淚了我們在下面忍不住都哭了你在強調你是捍衛人權的可是我們現在看到的你捍衛是霸凌者的人權捍衛的是加害人的人權對霸凌者的人權在哪裡受到傷害的家屬的人權在哪裡
transcript.whisperx[106].start 4397.881
transcript.whisperx[106].end 4425.051
transcript.whisperx[106].text 我先問你一個很重要的問你一個很重要的情節他們一直在質疑說什麼叫做情節重大對不對你一直在強調你是重視人權的所謂情節重大這個部分是不是我來表解一下剛剛那兩個案子八條人命不算情節重大你教室那麼悲慘他那個被敲擊那個過程那個密錄器敲得敲擊那個聲音讓人家心疼一個人
transcript.whisperx[107].start 4425.902
transcript.whisperx[107].end 4431.493
transcript.whisperx[107].text 一條生命的消失的過程多麼悲慘的事情那還不是情節最重大嗎?怎麼樣才是情節最重大?
transcript.whisperx[108].start 4432.585
transcript.whisperx[108].end 4458.182
transcript.whisperx[108].text 就我了解113宪判自第8號的話他是引用參考了公民政治權利公約第6條以及第36號一般性意見他認為他這個詮釋之後認為公民政治公約第6條所謂警戒最嚴重的犯罪的話他應該限縮於故意殺人的部分由這個部分的話在公民政治權利公約的概念的話應該還是可以處死刑
transcript.whisperx[109].start 4458.642
transcript.whisperx[109].end 4463.464
transcript.whisperx[109].text 法定刑10年以上有期徒刑、無期徒刑、死刑各別個案應該尊重各別法官或合議庭
transcript.whisperx[110].start 4478.746
transcript.whisperx[110].end 4481.108
transcript.whisperx[110].text 所以就這兩個案子你認為都還不過嚴重就對了?貝斯聯盟以前當過貝斯聯盟的執行委員
transcript.whisperx[111].start 4505.947
transcript.whisperx[111].end 4522.846
transcript.whisperx[111].text 所以今天才要讓你去回答這個問題到底現在所有的受難的家屬都在呼喊什麼叫做情節最重大你是廢死聯盟的執行委員大家希望從你嘴巴裡面聽到什麼是情節最重我問的最簡單的這兩個案子算不算情節非常嚴重很重大8條人命
transcript.whisperx[112].start 4524.428
transcript.whisperx[112].end 4525.969
transcript.whisperx[112].text 所以我剛剛問了你兩個具體的個案嘛現在全民最生氣的第一個
transcript.whisperx[113].start 4545.97
transcript.whisperx[113].end 4572.739
transcript.whisperx[113].text 不是八成是九成事件之後實質廢死是九成的民眾都是抗議跟反對的民眾現在抗議什麼現在法官還有某些人處心積力幫兇手改無期徒刑你們有在意過被害者的家屬嗎你們對家人這麼百般呵護誰有去在乎被害者那個眼淚跟苦痛我們聽一下好不好那一天在講的時候韓國瑜韓院長都流淚了他昨天
transcript.whisperx[114].start 4573.963
transcript.whisperx[114].end 4589.778
transcript.whisperx[114].text 請注意,下個禮拜播出了,我們看加害者心裡是有多痛前面一路判死就實在是他們看到這個是罪大惡極到最後沒有判死改成無期不是根據精神上的對調根據非情節最嚴重之罪我會
transcript.whisperx[115].start 4595.236
transcript.whisperx[115].end 4604.934
transcript.whisperx[115].text 所以這幾個字特別感冒是因為最高法院他是等到大法官事先出來最高法院
transcript.whisperx[116].start 4606.256
transcript.whisperx[116].end 4631.533
transcript.whisperx[116].text 兩個禮拜10月04號就馬上根據說不是犯最嚴重之罪所以從事情改成無解是這樣的所以我才要他們講清楚嘛你用這個判你一定要很清楚才對啊否則對我們被害人你怎麼可以心服所以我要他講清楚最高法案他就根據大法官有恃無恐很奇怪一個殺人犯值得國家動用這種
transcript.whisperx[117].start 4632.814
transcript.whisperx[117].end 4638.058
transcript.whisperx[117].text 叫做蠻荒之力來替他做這些事情這個國家到底怎樣了
transcript.whisperx[118].start 4663.581
transcript.whisperx[118].end 4686.227
transcript.whisperx[118].text 法官叫你講話你直接拿來講話講不完全你之後的補述沒有人理你到最後我最高法院我申請平意因為大法官你說要每一個人都每一個法官必須都贊成廢死或都不贊成都要一致決我就要申請平意被駁圍理由是我不是當事人我是被害人家屬而且我是當事人
transcript.whisperx[119].start 4688.257
transcript.whisperx[119].end 4690.858
transcript.whisperx[119].text 當殺人犯從死刑變成無期徒刑的時候他說
transcript.whisperx[120].start 4719.584
transcript.whisperx[120].end 4743.991
transcript.whisperx[120].text 兇手跟法官也判了我們家無期的痛苦無期徒刑那個煎熬跟痛苦有多嚴重昨天同樣站在你這邊的另外一位廢體評審他說他辦過案子他說小孩子被殺害了母親跟著小孩一起死掉了母親跟著他受害的小孩一起死掉了
transcript.whisperx[121].start 4747.459
transcript.whisperx[121].end 4773.075
transcript.whisperx[121].text 在台灣受害者的這個家屬為什麼會像這個剛剛這個他講的沒有地位他講的都哽咽了他還提現在有幾個有多少個案子殺警案的姐姐也出來講你們現在碰到的困難就是以後我們要碰到的所有的家屬都這麼無助結果我們看到的你一直在捍衛這個在幫忙廢死聯盟在幫幫忙加害者的同時你有想過他們的困境嗎
transcript.whisperx[122].start 4775.129
transcript.whisperx[122].end 4795.019
transcript.whisperx[122].text 所以我用人的段給你聽啊你有沒有想過要跟他們面對面溝通請聽他們的講話你願意嗎如果要安排受害者的家屬你好好坐下來面對面請聽他們的聲音幫他們解決問題解除他們的苦痛你願意嗎我當然願意如果有很好的機會的話
transcript.whisperx[123].start 4798.365
transcript.whisperx[123].end 4825.216
transcript.whisperx[123].text 我會安排這個事情好不好我希望不是只有你所有在幫加害者人權的人你們也要靜下來去面對面好好去傾聽被害者的家屬是多麼的痛苦另外一個我看你這個問卷裡面你對於廢死這個事情你一直都沒有表態嘛我一直在提醒你你是廢死聯盟的執行委員民眾要從你的嘴巴裡面立法院要從你的嘴巴裡面清楚的知道
transcript.whisperx[124].start 4826.344
transcript.whisperx[124].end 4853.915
transcript.whisperx[124].text 為此既然民眾有高達九成的臺灣民眾是不接受的現在臺灣民眾要跟著走走這種事情現在一堆本來判了死刑的最近可能會放出來人民是多麼的恐懼臺灣的馬路上出現可能有出現殺人魔這個事情要怎麼去補救這都大法官造成一堆的後遺症這問題多嚴重所以希望你站在被害者人權這邊站在被霸凌者這邊好不好不要只有高高在上
transcript.whisperx[125].start 4855.782
transcript.whisperx[125].end 4858.964
transcript.whisperx[125].text 主席我們有請廖提名人
transcript.whisperx[126].start 4884.537
transcript.whisperx[126].end 4886.158
transcript.whisperx[126].text 請廖備提名人答詢廖備提名人我們在這次的審查之前呢有請每一位的大法官備提名人提供相關的財產申報表對嗎您也有繳交對嗎是那您看一下這一份您繳交的這個財產申報是否屬實
transcript.whisperx[127].start 4919.838
transcript.whisperx[127].end 4925.569
transcript.whisperx[127].text 那我用螢光筆畫起來的這一塊我把個資都碼掉了確實是您所擁有的土地對嗎?
transcript.whisperx[128].start 4926.837
transcript.whisperx[128].end 4930.838
transcript.whisperx[128].text 那請問在這塊螢光筆畫起來的地號裡面你有沒有租給別人做生意?
transcript.whisperx[129].start 4956.574
transcript.whisperx[129].end 4979.674
transcript.whisperx[129].text 我現在沒有辦法完全記憶清楚為什麼?你有沒有租給別人做生意你沒有辦法記憶清楚?因為它是一個地號地號嗎?對好,那我給你看一下地圖好不好來,我們看下一張投影片這塊地就是我們從臺北地震雲跟Google Map比對這塊地是否就是您所擁有的?
transcript.whisperx[130].start 4981.852
transcript.whisperx[130].end 4983.073
transcript.whisperx[130].text 請問這一塊地作為洗車場是否合法或是有什麼相關規定?
transcript.whisperx[131].start 5007.681
transcript.whisperx[131].end 5030.399
transcript.whisperx[131].text 陳主任有跟我說他有去就是依據各種法律規定進行有各種法律規定進行是那你現在看我們看一下你現在看這樣子的這個圖上面你認為他是一個合法的你看得出來他是合法的還是違法的嗎
transcript.whisperx[132].start 5032.13
transcript.whisperx[132].end 5039.329
transcript.whisperx[132].text 據陳樹仁跟我說的話不是據陳樹仁你是大法官被提名人啊你對法律沒有了解嗎?你還需要問你的作客嗎?
transcript.whisperx[133].start 5040.441
transcript.whisperx[133].end 5063.637
transcript.whisperx[133].text 他就是一個洗車的行業洗車的行業我問你的是上面這個你已經知道是你的地了他這個洗車的行業上面他有沒有違法之處嗎我認為我目前為止並沒有了解說他有任何的其他的違法的地好你認為他沒有違法對不對我告訴你他是違法的為什麼因為他有違建
transcript.whisperx[134].start 5067.324
transcript.whisperx[134].end 5090.62
transcript.whisperx[134].text 說的那個違建因為他後來就改成那個是一個布棚式的一樣啊你這就是知法軟法嘛來我們看一下布棚式的他洗車的時候會不會拉出來拉出來的當下是不是違建所以你根本就都一直都知道嘛你知道嗎你們這早就已經被檢舉過很多次了來我們看一下打勾的那一塊你們是用這樣子的方式所謂的洗車場
transcript.whisperx[135].start 5091.821
transcript.whisperx[135].end 5119.383
transcript.whisperx[135].text 就是一個違章建築上面那個瀑棚就是不可以的而且我們很多居民都已經檢舉你了結果呢遲遲不改善遲遲不改善呢109年就查爆了一直到112年才拆除上面的頂棚而且現在他其實在部分的時間裡面他依然是違建你作為一個大法官的被提名人你自己的財產都違法了你要讓我們怎麼相信你做一個大法官你能夠公平公正
transcript.whisperx[136].start 5122.056
transcript.whisperx[136].end 5143.504
transcript.whisperx[136].text 你有什麼意見要說的嗎?因為我只有共有的一部分有什麼?你講話太小聲了剛剛媒體都跟我們說根本聽不清楚蔡委員你有提到就是說那個我是只有共有的一部分不是嘛共有但是你剛剛我問你做什麼你也說是洗車場你也說洗車場的人有告訴你說這個油怎麼樣怎麼樣所以你已經知道這個地方是怎麼樣的地方你也知道它曾經被查爆嗎?
transcript.whisperx[137].start 5144.77
transcript.whisperx[137].end 5144.81
transcript.whisperx[137].text 來我們繼續看
transcript.whisperx[138].start 5166.164
transcript.whisperx[138].end 5190.074
transcript.whisperx[138].text 你們用伸縮棚架去規避稽查你知道這多可惡的一個知法犯法的行為嗎你說你有法學常識你說你懂法律所以你要這個所謂的伸縮棚架去違避稽查知道稽查人員要來的時候把棚子收起來在坐洗車、茶要洗車的時候把棚子拉開來一個知法犯法的人憑什麼做我們國家的大法官啊
transcript.whisperx[139].start 5191.937
transcript.whisperx[139].end 5208.809
transcript.whisperx[139].text 你剛剛已經說了喔你已經說他們後來有改善變成是伸縮的喔所以你是知道這件事的喔你不要告訴我說你之前不知道你現在才知道喔你剛剛已經說出來了喔這叫做知法、犯法、玩法越懂法律的人越知道怎麼玩法這就是你廖福特你的財產是做這樣子的欸洗車的時候把他打開來就好像沒有違規機場員員來的時候把他收起來卻罰不到你
transcript.whisperx[140].start 5219.912
transcript.whisperx[140].end 5221.514
transcript.whisperx[140].text 請問這個洗車場有沒有開發票?請問這是不是一個合法的免用同意發票?
transcript.whisperx[141].start 5239.76
transcript.whisperx[141].end 5257.428
transcript.whisperx[141].text 是是你懂不懂法律啊你這部分我確實不是完全了解你不知道你連統一發票免開統一發票的收據長怎樣你都不知道所以你連一般生活市警小民知道的法規你都不知道你跟我說你要當大法官你要當大法官
transcript.whisperx[142].start 5259.403
transcript.whisperx[142].end 5283.005
transcript.whisperx[142].text 看一下再看一下再看一次這張免誘統一收據我是早餐店出身的小孩子我都知道這個就不是一個合法的免誘統一發票收據它只蓋了一個收據專用章然後什麼都沒有寫就提供給你上面的數字隨你便這就是你家租給人家的洗車場啊你還說業者告訴你說沒有違規啊你自己的財產自己租給別人都沒有去了解
transcript.whisperx[143].start 5284.605
transcript.whisperx[143].end 5313.363
transcript.whisperx[143].text 莫名其妙再來我們看一下洗車場的統一發票收據我非常覺得奇怪是你們你做大法想要做大法官的人還不知道這就是涉嫌逃入罪正常的免用統一發票的發票上面要什麼免用發票專章負責人小章然後呢要把品項單價總價都要寫好這個左邊的叫做免用發票專用
transcript.whisperx[144].start 5316.73
transcript.whisperx[144].end 5318.252
transcript.whisperx[144].text 還沒完喔我告訴你還沒完喔你們這裡還沒完喔
transcript.whisperx[145].start 5335.538
transcript.whisperx[145].end 5350.108
transcript.whisperx[145].text 我覺得非常可恥做一個大法官的被提名人想要當大法官的人自己的土地上面到處都是違規好 接下來看起來你很愛賺錢嘛上午是洗車場嘛那你知道他晚上會變什麼嗎
transcript.whisperx[146].start 5351.874
transcript.whisperx[146].end 5369.244
transcript.whisperx[146].text 你下午租給騎車場對不對?下午租給誰?晚上租給誰?我不完全知道你不完全知道?你的土地上在做什麼不完全知道?那我告訴你因為這是我的選區所以我非常清楚很多人檢舉你們晚上在做停車場來我們看一下請問在這塊土地上面做停車場之用你看那邊有個P有沒有做停車場有沒有違法還是它是合法的?
transcript.whisperx[147].start 5381.469
transcript.whisperx[147].end 5409.542
transcript.whisperx[147].text 請問你違法還是合法?如果是合法為什麼合法?如果是違法為什麼違法?因為他看起來有沒有作為一個所謂的停車場還是說土地的臨時的租用這個細節我並不清楚並不清楚上面就給你寫一個批了啦你是沒有眼睛是不是啊上面就告訴你說這是停車場啦然後你跟我說你並不清楚然後你也知道這是你家的地
transcript.whisperx[148].start 5410.66
transcript.whisperx[148].end 5429.524
transcript.whisperx[148].text 好 我告訴你你這個停車場沒有向臺北市的交通局去登記它就是一個違規的停車場我們看一下影片這是2024 10月22喔才剛拍的喔來我們看一下影片開到你們那裡你看這個打開的旁邊就是違建啊
transcript.whisperx[149].start 5432.132
transcript.whisperx[149].end 5435.093
transcript.whisperx[149].text 法定人數不足
transcript.whisperx[150].start 5454.778
transcript.whisperx[150].end 5468.444
transcript.whisperx[150].text 收費你剛剛說你不知道這個地方是有收費沒收費我告訴你了他在收費而且你知道嗎你們可惡的地方在哪裡你們沒有收費標準來有時候給人家收50塊有時候給人家收70塊這是在google評論上面就可以找到的這家洗車場的評價飽受批評啊大家怎麼說真的是很扯停進去才說50塊是月停的零停要70塊
transcript.whisperx[151].start 5480.109
transcript.whisperx[151].end 5505.774
transcript.whisperx[151].text 停車費用不老實門口一小時70門口貼50進去才跟你說是月租然後呢不要被停車的門口50片了停好了等故意停好了才告訴人家是70塊你家上午的這個洗車場已經是違禁了已經違法逃漏稅用不對的發票了晚上還坐非法的洗車停車場還跟人家亂收錢
transcript.whisperx[152].start 5508.394
transcript.whisperx[152].end 5514.657
transcript.whisperx[152].text 外面寫0停50停進去70而且你根本沒有向臺北市交通局去申請這裡作為合法停車場好收據也一樣來我們看一下你看得懂他寫什麼嗎停完車以後給你一個這個你看得懂嗎我一開始看不懂並沒有大概只看到那個500的數字500是什麼500是說押金500你要停進去的時候要先給押金500塊才停啊你覺得很合理嗎
transcript.whisperx[153].start 5540.597
transcript.whisperx[153].end 5557.443
transcript.whisperx[153].text 所以不出話來了你的財產我一開始不就問是不是你的財產前面你還說你也知道有洗車場那你就是對這個地是了解的嘛你對這裡做什麼使用是了解是因為今天被我全部找出來你才敢才說你不了解嘛我再問你一次說剛剛講的洗車場剛剛講的停車場有沒有違規
transcript.whisperx[154].start 5566.533
transcript.whisperx[154].end 5578.463
transcript.whisperx[154].text 這個讓我再釐清一下好不好因為我不用釐清我告訴你就有違規了你作為大法官我剛剛講成這樣你還不知道有沒有違法啊那你做什麼大法官啊你一般基本的法學常識都沒有做什麼大法官啊這是最簡單的吧在床哪一個人不知道啊免用防疫發票怎麼開不知道啊有沒有你申請一個停車場沒有去交通局做申請會違法不知道啊蓋一個棚架出來然後呢是違建不知道啊這有這麼難嗎
transcript.whisperx[155].start 5597.005
transcript.whisperx[155].end 5598.166
transcript.whisperx[155].text 民眾陳情非常多次了來我們看民眾的陳情民眾呢
transcript.whisperx[156].start 5610.313
transcript.whisperx[156].end 5638.592
transcript.whisperx[156].text 這個上面T10-112-0907這是檢舉編號像臺北市的1999多次的陳情上面就寫說你們在停車然後呢而且你們會讓車子就開上去那個人行道這些都是違規的因為你沒有去申請使用不斷的去陳情拆不掉就是拆不掉不停業就是不停業我剛剛給你看的影片是我這一個月每天都去停車每天都去洗車留下來的紀錄
transcript.whisperx[157].start 5640.373
transcript.whisperx[157].end 5658.878
transcript.whisperx[157].text 陳秦涵怎麼寫的為了多搜集證據前往拍攝去遭到有人現場制止後來旁邊的人就說這個業者後台很硬因為後台是現任不分區提名委員會的委員廖姓就是在說你就是在說你
transcript.whisperx[158].start 5659.804
transcript.whisperx[158].end 5685.54
transcript.whisperx[158].text 你知道嗎?像我們陳情的人他一直問為什麼這裡可以違規蓋洗車場、違建為什麼停車場我們檢舉這麼多次都弄不掉他說因為這邊的這個擁有這塊土地的人後台很硬因為他是民進黨部分區提名委員會的委員(廖福特你在當民進黨部分區提名委員會的委員的時候你的官位就這麼大那請問你當了大法官你還得了真的是還得了
transcript.whisperx[159].start 5689.175
transcript.whisperx[159].end 5709.913
transcript.whisperx[159].text 好我再問你一次我再問你一次再給你一次機會我剛剛所述的以上是不是都違法違規違法他確實有一些應該說的一些哪一些你重述一次我剛剛跟你講了整個案情你現在你聽完我剛剛跟你分析的你現在一個一個指出你哪裡違規哪裡違法了我給你時間講
transcript.whisperx[160].start 5713.141
transcript.whisperx[160].end 5741.436
transcript.whisperx[160].text 因為剛才大概提到幾件的事項那我是不是在之後我來稍微了解之後才了解這是你家的房子之後才了解我就講嘛你從109年就被查爆的東西嘛你112年才想說要改善而且還是用一個違法、知法、犯法、玩法的方式來改善平常他一樣我們回到剛才那個我們去停車的那個圖再播一次這個影片
transcript.whisperx[161].start 5745.165
transcript.whisperx[161].end 5761.622
transcript.whisperx[161].text 好按暫停再播一次按暫停我要給你看那個棚子你們的改善方式那個棚子有沒有違法有沒有違規是不是違建你說你要伸縮的就沒事了嗎你把它拉出來的時候它就是違建啦
transcript.whisperx[162].start 5763.496
transcript.whisperx[162].end 5774.66
transcript.whisperx[162].text 這是一種規避法律的方式啊你作為一個大法官你竟想著要如何規避法律啊所以你說沒有啊我們已經改成伸縮的啊平常都是拉開的有人來稽查的時候說起來逃避被人稽查逃避被人檢舉這就是你要當一個大法官
transcript.whisperx[163].start 5782.083
transcript.whisperx[163].end 5804.016
transcript.whisperx[163].text 對法律不了解:對自己家的財產這樣子輕放重放用這些業者去做違法的事情與憂相鳴要怎麼樣讓大家相信你是一個客觀中立的大法官呢你無法理解如果你自己本身就是違規的人了然後你說你要當大法官替我們全國人民主持正義誰會相信再來我們繼續往NCC走NCC當時剛也有很多人有問了
transcript.whisperx[164].start 5810.479
transcript.whisperx[164].end 5822.808
transcript.whisperx[164].text 來我想請問你在鑑定人的評鑑報告裡面所說認為中天不應該取得換照的理由當時你的鑑定書上面的理由是什麼
transcript.whisperx[165].start 5824.678
transcript.whisperx[165].end 5848.298
transcript.whisperx[165].text 我剛才講我是依據廣播電視法我說你的鑑定書的書面理由是什麼他有沒有違規的事項違規事項有多少那當然也包括正面的比如說他會有沒有互相你確實沒錯你說你說因為你做鑑定人的時候認為中天應該不能得到換照的原因第一個違規裁罰案件過多
transcript.whisperx[166].start 5850.404
transcript.whisperx[166].end 5873.576
transcript.whisperx[166].text 那你當時擔任中天鑑定人的意見書裡面你說違規裁罰案件過多結果呢最後他們到行政法院裡面呢你認為你現在還認為他們的你現在還認同你當時的判斷嗎你認為他們以現在的狀況進到行政法院裡面去這麼多的案子最後都被行政法院判NCC敗訴這叫做違規裁罰過多嗎
transcript.whisperx[167].start 5875.663
transcript.whisperx[167].end 5893.605
transcript.whisperx[167].text 我當時看到的情況是這樣子啊你當時看到的情況是這樣子但請問你有沒有每一個案子去審視說他到底有沒有違規那可能是當時NCC給的東西是錯誤的啊你作為一個大法官被提名人你當時你作為一個法律專家你沒有自己的意見NCC跟你講什麼就算什麼
transcript.whisperx[168].start 5894.366
transcript.whisperx[168].end 5917.526
transcript.whisperx[168].text 你沒有覺得說他們提出的這些所謂的好像有違規的地方根本就沒違規你給出的意見書就是這樣要到行政人家行政法院裡面法官判下去的時候都知道沒有違規你做一個鑑定人的時候你看了所有的資料這個人家行政法官看的資料跟你看的資料是一樣的你就拼了說人家違規過多結果人家打到了行政法院的時候法院認為沒有問題
transcript.whisperx[169].start 5919.275
transcript.whisperx[169].end 5930.879
transcript.whisperx[169].text 那你要怎麼讓大家相信你是公正客觀等於是你們直接這一群人這一伙人直接被行政法院打臉捏再來你還有另外一個意見書不換照的理由是什麼你記得嗎我不完全記得是不完全記得來我告訴你你認為報導特定政治人物比例過多
transcript.whisperx[170].start 5944.068
transcript.whisperx[170].end 5950.361
transcript.whisperx[170].text 來,請問你當時的意見書裡面認為中天報導特定政治人物比例不過多的特定政治人物是哪一位?
transcript.whisperx[171].start 5951.814
transcript.whisperx[171].end 5977.916
transcript.whisperx[171].text 為什麼這是你寫的東西耶不是啦我問的是你自己寫的東西你說108到109年之間中天新聞不當監理的事件有14件其中包括報導特定政治人物比例過多我問的是你寫下的這句話裡面所謂的報導特定人物政治人物是哪一位政治人物
transcript.whisperx[172].start 5978.973
transcript.whisperx[172].end 6003.035
transcript.whisperx[172].text 我現在沒有辦法回答你現在沒有辦法回答你自己寫的東西你沒有辦法回答你是失意還怎麼樣當時有當時的時空背景當時有當時的時空背景但特定人物就那個啊因為你已經寫了是特定政治人物嘛所以就是有一個特定政治人物嘛我問你當時你所說的特定政治人物是誰嘛我現在還有1分36秒你不回答出來我們就這樣耗著特定政治人物是誰
transcript.whisperx[173].start 6004.141
transcript.whisperx[173].end 6027.068
transcript.whisperx[173].text 我因為沒有記憶那麼清楚,我想我不應該...放那張投影片!左邊這個是你自己寫的,其中包括...或我再講一次,你不回答我們就這樣耗著沒關係其中包括中天新聞台報導特定政治人物比例過多我只不過問你,你當時所稱的特定政治人物是哪一位政治人物?
transcript.whisperx[174].start 6029.386
transcript.whisperx[174].end 6039.752
transcript.whisperx[174].text 你怎麼樣?為什麼?那你哪幾個人?幾個人?你說嘛幾個人?哪幾個人?哪幾個特定政治人物?說啊!你就把他名字說出來嘛!你今天都在這個備詢台上為什麼這麼不勇敢呢?不要啦!所以你忘記了?好我問你是不是韓國瑜?
transcript.whisperx[175].start 6058.183
transcript.whisperx[175].end 6075.579
transcript.whisperx[175].text 你是不是在指韓國瑜你不確定你寫了什麼你自己寫了一個鑑定書然後寫了特定政治人物當時大家在討論的所謂的特定政治人物在新聞報導上都是說你們認為特定報導韓國瑜太多然後你現在告訴我你寫的東西你自己不知道你是怎樣要不要去看個醫生你的記憶能力是不是有問題
transcript.whisperx[176].start 6082.641
transcript.whisperx[176].end 6082.781
transcript.whisperx[176].text 謝謝徐委員
transcript.whisperx[177].start 6112.895
transcript.whisperx[177].end 6134.065
transcript.whisperx[177].text 何新淳委員之詢問以書面提出列入紀錄刊登公報下一位請羅志強委員詢問主席有請備提名人我們請廖備提名人答詢
transcript.whisperx[178].start 6146.032
transcript.whisperx[178].end 6169.683
transcript.whisperx[178].text 媽媽感到對不起成長過程中沒有盡到母親的責任但是還是很愛你請問廖教授你知道這句話誰說的嗎這是2022年發生的台版柬埔塞案一位被兇惡的詐欺集團虐死的黃姓婦人的遺言
transcript.whisperx[179].start 6171.138
transcript.whisperx[179].end 6171.738
transcript.whisperx[179].text 你知道是誰說的嗎?我也不確定是誰說的
transcript.whisperx[180].start 6201.53
transcript.whisperx[180].end 6227.519
transcript.whisperx[180].text 主張廢死對這些被害者完全都可以不確定這是那位被虐死的黃姓婦人的兒子他收到母親死訊之後收到母親遺言之後發出了痛苦悲鳴我想請問廖教授2022年的台版柬埔災案和黃姓婦人一樣被虐殺的總共幾個人
transcript.whisperx[181].start 6229.264
transcript.whisperx[181].end 6248.177
transcript.whisperx[181].text 不好意思,我沒有辦法很精確地...你還是不知道一共三個人,三條人命那你知不知道,如果不是警方偵破﹖死的可能不只是三個人﹖是61個人嗎?你知道嗎?你還是不知道?
transcript.whisperx[182].start 6249.522
transcript.whisperx[182].end 6272.586
transcript.whisperx[182].text 因為這個詐騙集團總共囚禁虐待了61個人有營救出來被害人說當他看到詐欺集團如此殘忍的虐待他們的時候也看到其他被囚禁的人一一被虐死的時候他們心中覺得我們再也不能見到我們親愛的家人了
transcript.whisperx[183].start 6274.417
transcript.whisperx[183].end 6296.394
transcript.whisperx[183].text 你知道這些詐欺集團是怎麼虐殺被他們囚禁的受害人嗎?請問我們的廖教授你還是不知道我確實不知道謝謝你這些被害人被關在面積僅3平的房間38天只能坐著跟站著他們財務被收工、嘴塞、毛巾、上手銬、腳綁、束帶
transcript.whisperx[184].start 6298.786
transcript.whisperx[184].end 6318.143
transcript.whisperx[184].text 他們被惦記、被毒打、他們被未毒讓他們昏睡好方便控制有被害人受不了這樣的凝虐從11樓跳下來死亡黃姓夫人就是前面講的那位被關了一個多月惦記、凝虐後吐血、哀求、肚子痛、未獲理財
transcript.whisperx[185].start 6319.204
transcript.whisperx[185].end 6336.758
transcript.whisperx[185].text 大量出血、休克而亡.0性男子患慢性病、遭拘禁15日.雙腳壞死、發炎、皮膚浸潤.不能行走、大小便失禁.最後撞牆狂喊.我受不了了.被餵食3顆FM2心肌梗塞死亡.如果我用泯滅人性、上進天良.來形容這些兇惡的虐殺集團.你同意嗎?
transcript.whisperx[186].start 6346.092
transcript.whisperx[186].end 6372.738
transcript.whisperx[186].text 是相當嚴重的犯罪但你還是主張廢除死刑所有的事你通通不知道這些人的痛苦、淫言、家屬的悲鳴被虐殺的所有情節你沒辦法感受吧我想這個應該我們社會都應該可以你沒辦法感受吧但是你可以非常冷靜的跟大家講你支持廢除死刑
transcript.whisperx[187].start 6373.985
transcript.whisperx[187].end 6393.126
transcript.whisperx[187].text 我想請問廖教授這個案子後來怎麼判?我不確定他最後的判決結果是什麼?就在昨天你都要站在這邊要面對今天死刑你的廢死的態度昨天宣布免死確判這個兇惡詐欺集團囚禁
transcript.whisperx[188].start 6396.616
transcript.whisperx[188].end 6416.997
transcript.whisperx[188].text 60億人虐殺3人、詐騙267人所不法所的3億元和新幹部S姐查董一、二審判無期上訴最高法院駁回定讞免死確判如你所願這些泯滅人性的人上進天堂的殺人犯都免死確判我再問教授
transcript.whisperx[189].start 6418.171
transcript.whisperx[189].end 6447.132
transcript.whisperx[189].text 同樣昨天新竹市正義輪胎行的縱火案陳姓嫌犯在民國111年6月縱火致凶殺死他的母親、妻子、三名子女、妹妹、大嫂、子女共八名家人喪命你知道一審判決是死刑但是經過上訴二審高層法院判決是什麼我好像是變無期徒刑是不是對也是昨天無期徒刑
transcript.whisperx[190].start 6448.254
transcript.whisperx[190].end 6473.568
transcript.whisperx[190].text 大嫂的母親林姓夫人說自己側夜難眠哭到眼睛看不清她沒有辦法相信沒有辦法接受大嫂家屬悲鳴因為被害死的人不是你的家人講廢死不是你們執政者說了算最有資格是我們被害者家屬因為你們沒有同理心你們根本得不配為你覺得這句話是不是說給您聽的
transcript.whisperx[191].start 6475.617
transcript.whisperx[191].end 6491.965
transcript.whisperx[191].text 你覺得最有資格說Face是被害者家屬不是你你沒有同理心被害者家屬的悲憫你聽到了嗎你沒聽到我從我剛問的問題說到現在問題答案都是不知道來再問你喔20
transcript.whisperx[192].start 6496.076
transcript.whisperx[192].end 6521.743
transcript.whisperx[192].text 我殺的人比鄭捷多我破了台灣的紀錄希望判我死刑如果不判我死刑我出去繼續殺人你知道這句話誰說的嗎我沒有那麼完整的記錄還是不知道不知道大法官2019年台南獄警縱火案燒死7人徵信凶犯說的他自豪啊鄭捷不過殺7人我燒死7個人我比他還厲害
transcript.whisperx[193].start 6524.755
transcript.whisperx[193].end 6552.975
transcript.whisperx[193].text 那教授你知道判決的結果嗎?你說這個個案?這個案子我不敢隨意的說因為我沒有那個信息你還是不知道?上個月27號免死確判張教授你知道今年的12月3日是什麼日子嗎?如果以我的來說的話他可能是身心障礙者是國際日是施朵甲女教師被虐殺10週年的忌日
transcript.whisperx[194].start 6553.871
transcript.whisperx[194].end 6579.6
transcript.whisperx[194].text 你一樣不會記得啦因為跟你沒關係被殺的不是你的家屬若是被害者的家屬他不會忘掉這一天那你知道判決結果是什麼嗎劉姓凶犯多次被判處死刑等了10年等到救星了大法官來了大法官作出實質廢死的憲法判決劉姓凶犯免死確判
transcript.whisperx[195].start 6581.138
transcript.whisperx[195].end 6608.225
transcript.whisperx[195].text 那你知道這個凶犯這個凶殺案是誰被判無期徒刑?誰被判無期徒刑?我剛剛講的施朵甲女老師的凶殺案誰被判無期徒刑你知道嗎?我告訴你是被害者的家屬被害者的丈夫流性凶犯判的無期徒刑關25年還可以假釋被害者的丈夫說這個判決真的受無期徒刑宣判的是家屬
transcript.whisperx[196].start 6609.522
transcript.whisperx[196].end 6610.523
transcript.whisperx[196].text 你知道嗎你知道嗎你知道
transcript.whisperx[197].start 6637.701
transcript.whisperx[197].end 6658.495
transcript.whisperx[197].text 最高法院怎麼告訴大家為什麼前面都判死最後免死啊因為依據大法官憲法第8號判決意旨依據這個實質廢死的判決他免死卻判了一輩子坐獄陰柴善良正直的一個女老師他還從此冤成大海再也沒有伸張正義的機會
transcript.whisperx[198].start 6667.296
transcript.whisperx[198].end 6687.465
transcript.whisperx[198].text 這位兇犯就是隨機盯上這位買菜的女老師啊用鐵鎚重擊她信心咬壞她的身體然後虐殺她但是呢大法官是他的救星我要跟教授說我前面說的這四個案子通通免死
transcript.whisperx[199].start 6695.731
transcript.whisperx[199].end 6720.663
transcript.whisperx[199].text 通通都是在大法官做出實質廢除判決之後才開始做出免死的判決這些案子你通通不知道但是你非常心安理得跟大家講說廢除死刑啊你支持廢除死刑啊我從前面的質詢跟看到你的書面回答你也認同大法官的憲法第8號判決吧 對不對
transcript.whisperx[200].start 6723.041
transcript.whisperx[200].end 6744.33
transcript.whisperx[200].text 我個人認為他這個憲法第8條判決的話因為叫憲法法庭的判決是你認同嗎?三個字那麼難答我告訴你我拜託你你認同這個實質廢死判決你主張廢除死刑有兩句話我建議你
transcript.whisperx[201].start 6746.223
transcript.whisperx[201].end 6772.873
transcript.whisperx[201].text 你把這兩句話媽媽感到對不起你成長過程中沒有盡到母親的責任但還是很愛你我們母子倆度過顛沛流離度過饑寒交迫度過別離再相聚卻度不過詐騙集團的凌虐時節你把這兩句話一個亡死者跟亡死的家屬你每天晚上睡前默念三遍你再去睡覺吧
transcript.whisperx[202].start 6776.308
transcript.whisperx[202].end 6803.759
transcript.whisperx[202].text 你知道為什麼你可以這麼坦坦然心無掛懷、掛念的跟我講你主張廢除死刑跟我講你認同大法官實質廢死的判決我告訴你為什麼因為你前面已經告訴你通通不知道這些人的傷、這些人的痛、這些人的冤、這些人的苦你沒有一個知道你到現在為止你沒有一個知道你當然可以這麼淡然說
transcript.whisperx[203].start 6805.438
transcript.whisperx[203].end 6806.719
transcript.whisperx[203].text 目前為止看起來不是一個冤獄我得了邀請的基本的概念是這樣子來來來目前法務部在對於
transcript.whisperx[204].start 6832.613
transcript.whisperx[204].end 6856.02
transcript.whisperx[204].text 這個政協執行定業執行死刑的時候你怎麼對媒體說的你痛批今天法務部他應該要再審非常上述或四線的程序才能執行死刑以避免冤獄啊你認為當時的部長根本亂來有人要告羅英雪是你講的吧
transcript.whisperx[205].start 6857.761
transcript.whisperx[205].end 6884.506
transcript.whisperx[205].text 因為即使一個判決之後的話他還是有後面的救濟程度很好啊你剛跟我講你認為不是冤獄啊但是那時候你認為是冤獄啊縱目睽睽向犯案4條寶貴的生命無理由的提早結束24個人一輩子受傷的人留下終生的陰影人生共怒的一個罪行三審定焉
transcript.whisperx[206].start 6886.069
transcript.whisperx[206].end 6910.789
transcript.whisperx[206].text 你竟然可以用冤獄來去想要幫他開脫你到現在還是認為我們不該執行死刑不該判政協死刑嗎判決死刑以及執行死刑我問你啦沒關係我分開問你現在還是覺得不該執行死刑嗎執行死刑不是說不一定以我們的法律規定當時應該可以執行死刑的只是說執行死刑 廖教授啊
transcript.whisperx[207].start 6912.793
transcript.whisperx[207].end 6933.219
transcript.whisperx[207].text 我剛剛前面聽徐曉欣在質詢我很難過從頭到尾無言以對你是今天廢死聯盟的重要成員你到現在為這兩個這麼簡單的問題你答不出來難道你會心心念念想要通過大法官提名你就答不出來
transcript.whisperx[208].start 6935.708
transcript.whisperx[208].end 6958.886
transcript.whisperx[208].text 我再問你一次鄭捷被判死刑你支持嗎答不出來他就是判決死刑的一個狀態嘛對啊就是你現在的法律制度跟未來的法律制度就廢除死刑或與否的話是在我們在思考未來我們的法律制度會怎麼樣比較好我已經看你已經講了20秒了答不出來
transcript.whisperx[209].start 6965.219
transcript.whisperx[209].end 6994.421
transcript.whisperx[209].text 答不出來政協服務法後換民進黨執政廖教授你擔任過廢除死刑推動聯盟的執行委員法務部逐步廢死推動小組成員吧沒錯吧是長年來推動廢死到這邊來講話模模糊糊沒有關係我想請問你喔你知道這8年多來法院總共審理多少名殺人犯判了多少名死刑執行了幾名
transcript.whisperx[210].start 6997.233
transcript.whisperx[210].end 7016.466
transcript.whisperx[210].text 據此判多少個殺人犯或那個還是不知道啦沒關係啦還是不知道啦八年多七百多名殺人犯只有判兩名被執行並被執行等於每350名殺人犯出現超過350位被害人才會判一個死刑
transcript.whisperx[211].start 7017.554
transcript.whisperx[211].end 7044.523
transcript.whisperx[211].text 然後相較於2000年到2015年平均每年有3.25位三審判死2016年5月民進黨執政後平均每年只有0.22位三審判死每年判死的人數減少93%你蠻有成績的,真的在逐步廢死然後大法官的8號判決還說判死要更嚴格過去大法官是不敢判死
transcript.whisperx[212].start 7046.07
transcript.whisperx[212].end 7074.117
transcript.whisperx[212].text 現在大法官的判決出來就是難以判死所以他馬上短短期間4件案子全部是免死判死了以後要再重來一遍喔沒錯吧是有些案子是可能在這個程序委齋大法官啊照這樣趨勢啊我直接跟你斷言啦我斷言好幾次了我希望你推翻我賴總統任內一件三審判死都不會有一件死刑都不會執行你相不相信
transcript.whisperx[213].start 7075.851
transcript.whisperx[213].end 7104.237
transcript.whisperx[213].text 我個人沒辦法做預測沒有關係我告訴你我們就等著看只是剩3年了啦我怎麼等著看然後你在這邊前面答詢你說大法官沒有實質廢死你說得出口我問你喔今天有一個人他去參加射箭比賽那你剛剛講說你是射箭比賽的那個評鑑委員說沒問題我們任何人都可以參加射箭比賽
transcript.whisperx[214].start 7105.342
transcript.whisperx[214].end 7122.631
transcript.whisperx[214].text 但是你必須兩隻手砍斷你再去參加射箭比賽那我說你剝奪實質剝奪我參加射箭的機會我說沒有啊我准你參加射箭比賽啊只是你不准帶兩隻手進去啊什麼叫做實質廢死這樣還不叫實質廢死什麼叫實質廢死請問他說死刑合憲但定了18羅漢同仁證死刑現在要判已經很難了
transcript.whisperx[215].start 7136.607
transcript.whisperx[215].end 7165.407
transcript.whisperx[215].text 大法官憲法判決之後馬上就活生生的好幾個案子就改判了然後我再醒覺一下大法官的憲法判決出來之後很多都用不是犯罪情節最嚴重的情況用這個理由啊改判了嘛對不對是有的是終於啊你終於有個知道了中山智陽徐偉展多次性侵傷害女乘客犯罪情節是不是最嚴重
transcript.whisperx[216].start 7166.906
transcript.whisperx[216].end 7190.911
transcript.whisperx[216].text 我幫你回答你不知道張南寶殺害同居女友母親同居人姦殺80歲老婦算不算情節罪人之罪我幫你回答啦你不知道那你要插嘴可以啦你不知道吧是不是能我說明剛才我說明就是說現在我們情況應該是兩個重點第一個所謂犯罪最嚴重的情況的話我只問你是不是嘛
transcript.whisperx[217].start 7194.893
transcript.whisperx[217].end 7216.089
transcript.whisperx[217].text 劉龍山強姦一位檳榔稀屍後活生生用火燒他的下體跟臉部再用鐵錘打到腦漿外衣後焚屍你也答不出來了劉華坤刑竊不存殺害網咖女老師並監屍連受害了年僅6歲的孩子也不放過把他吊死在醫處裡面
transcript.whisperx[218].start 7217.898
transcript.whisperx[218].end 7219.88
transcript.whisperx[218].text 我上面舉例的就是這37位被死刑判決定讞現在在你口中贏得改判機會的37位囚犯
transcript.whisperx[219].start 7244.841
transcript.whisperx[219].end 7273.11
transcript.whisperx[219].text 這些被大法官實質廢死判決出來以後這37個人等到了究刑就是跟你一樣想要廢死的大法官廖教授你還曾經在2016年這個《刑法修正適同處死刑或無期徒刑爭議公聽會》當中表示終身監禁不得假釋的刑罰不值得考慮 對不對
transcript.whisperx[220].start 7274.582
transcript.whisperx[220].end 7301.57
transcript.whisperx[220].text 我剛才說了就是當天的公聽會他有特定的修法的方向你有沒有說過終身監禁不得假設刑法不值得考慮當天的情境之下就對於殺害兒童自己特定的犯罪要教授我告訴你你不只主張廢除死刑啊現在社會上有用誰無期徒刑終身監禁來取代死刑的議論
transcript.whisperx[221].start 7303.206
transcript.whisperx[221].end 7326.629
transcript.whisperx[221].text 你連無期徒刑、終身監禁你都不贊成我真的想要問的問題是非常多但是我沒有辦法我時間是不夠我真的時間不夠我要跟廖教授說剛剛徐曉新質詢你的財產你到處違規自己的自律做不好張啟凱質詢你李柏道的霸凌案你站在霸凌者的一方
transcript.whisperx[222].start 7327.793
transcript.whisperx[222].end 7342.058
transcript.whisperx[222].text 然後呢楊瓊玉質詢你NCC關新聞台NCC是新聞自由的筷子手但是你是鑑定人你親自送上屠刀現在死刑你站在加害人這一邊你是盧志強你脫得下去嗎謝謝你好謝謝羅委員謝謝貝提米人報告
transcript.whisperx[223].start 7358.311
transcript.whisperx[223].end 7383.958
transcript.whisperx[223].text 下一位.智偉委員.詢問.書面提出.列入紀錄.刊登公報報告全院委員會.對大法官.被提名人.廖福特.詢答部分.到此為止謝謝廖被提名人.福特列席答詢報告全院委員會.休息5分鐘.休息之後繼續進行.對大法官.被提名人.劉靜怡之詢問.現在休息
transcript.whisperx[224].start 7752.984
transcript.whisperx[224].end 7767.222
transcript.whisperx[224].text 報告全院委員會現在繼續開會進行審查大法官被提名人劉靜怡之資格及是否事任相關事項現在請被提名人劉靜怡女士說明時間10分鐘
transcript.whisperx[225].start 7776.116
transcript.whisperx[225].end 7793.574
transcript.whisperx[225].text 主席、各位委員、各位女士先生我是劉靜怡很榮幸今天有這個機會因為總統的提名能以大法官被提名人的身份在立法院接受各位的審查除了先前提供給立法院的詳細資料之外我以下會跟各位委員做一個簡單的口頭報告
transcript.whisperx[226].start 7795.416
transcript.whisperx[226].end 7819.41
transcript.whisperx[226].text 我出生並成長於蘭陽庭園:一直到18歲復籍臺北就讀臺大法律系:我的父母在家鄉分別終身奉獻於國中和國小的教職工作:他們給我們姊弟三人一個良好的教育環境跟成長環境:我深信父母所期望的是希望我們能夠成為具有獨立判斷力、正直無私:而且能夠將專業知識貢獻給社會國家的知識分子:
transcript.whisperx[227].start 7822.452
transcript.whisperx[227].end 7850.841
transcript.whisperx[227].text 我在大學以前的求學過程受到擔任歷史老師的父親啟發和多位老師的影響對於人文社會科學領域的學習興趣較濃進入台大法律系之後以及在法研所的就讀期間受到當時多位教授跟台灣民主化的社會氛圍影響對於民主憲政與人權相關的國內外理論和社會爭議開始有所涉獵尤其是法研所期間受到當時幾位公法老師
transcript.whisperx[228].start 7851.701
transcript.whisperx[228].end 7877.538
transcript.whisperx[228].text 的啟發所以除了更進一步理解德日大陸法系公法的嚴謹體系之外對於美國公法的展現內容跟方法取向也產生了探索興趣我和言論自由、新聞自由、通訊傳播相關的法律跟政策的研究結下不解之緣也是在這段期間這也是我日後以科技法律相關的規範與人權議題作為終身研究資質的種子
transcript.whisperx[229].start 7879.76
transcript.whisperx[229].end 7898.34
transcript.whisperx[229].text 當時父母希望我從事司法實務工作:我也在法研所期間通過司法官特考筆試跟口試:但是因為在林子怡教授指導下撰寫碩士論文的時候有幸考取公費留學考試:加上自己向來保持濃厚的學術探索興趣:所以就放棄成為司法官的搜尋機會:
transcript.whisperx[230].start 7899.881
transcript.whisperx[230].end 7916.958
transcript.whisperx[230].text 在法研所畢業之後立刻赴美留學我的留美時期歷經哈佛法學院跟芝加哥大學法學院兩所大學最後在1997年3月完成以網際網路為主題的法學博士論文那是一個當時尚屬少見的網路法論文主題
transcript.whisperx[231].start 7917.839
transcript.whisperx[231].end 7941.616
transcript.whisperx[231].text 在留美將近4年的過程當中﹐除了多位教授協助我奠定在網路法、人權法、憲法和美國公法等領域的法學知識之外﹐我的指導教授經常提醒我﹐應該不斷訓練自己發問﹐應該學會以不畏多數壓力﹐而且不媚俗的態度﹐深入且廣泛地累積自己的學術能量跟創造力。20多年前的學術基礎訓練﹐
transcript.whisperx[232].start 7942.957
transcript.whisperx[232].end 7970.761
transcript.whisperx[232].text 養成了我不斷提醒自己在知識的吸取跟學術研究上必須既專精且深入而且必須開闊多元的習慣同時應該與熱切了心但冷靜的腦分析爭議跟尋求橫貧解決之道這不僅是我在法學研究生涯當中的基本信念跟堅持也是我在專業生涯早期參與國際網際網路組織ICANN創建時期的奠基工作時以及目前擔任
transcript.whisperx[233].start 7971.101
transcript.whisperx[233].end 7973.102
transcript.whisperx[233].text 我相信這樣的態度習慣與堅持也是事先者應該具備的基本素質
transcript.whisperx[234].start 7989.246
transcript.whisperx[234].end 8007.458
transcript.whisperx[234].text 我在1997年取得博士學位後開始教學生涯.主要的學術沾藏是科技.尤其是資訊科技有關的規範議題.分別從憲法、人權法.跟政府管制的角度進行研究.我先後任教於淡江大學大眾傳播系.資訊傳播系、中央大學產業經濟研究所.
transcript.whisperx[235].start 8008.298
transcript.whisperx[235].end 8028.363
transcript.whisperx[235].text 並且在2004年轉任母校臺大社科院國發所.今年8月起獲聘為臺大特聘教授.目前也兼任所長的行政職務。在臺大已經滿20年的教學研究生涯當中.我除了在今年獲得國科會傑出研究獎的肯定之外.也曾獲得臺大教學傑出獎跟教學優良獎.
transcript.whisperx[236].start 8029.423
transcript.whisperx[236].end 8048.115
transcript.whisperx[236].text 我在2015年到2020年期間﹐連續6年擔任兩任科技部法律學門共同召集人﹐隨後並在2021年跟2023年期間﹐擔任國科會法律學門召集人﹐對於法律學界的學術發展方向規劃﹐跟各項審查事務都盡了綿薄之力﹐
transcript.whisperx[237].start 8049.076
transcript.whisperx[237].end 8067.106
transcript.whisperx[237].text 除此之外,我在2027-2013年之間曾經擔任數位典藏與數位學習國家型科技計畫下面的學術與社會應用推廣分享的分享召集人,協助政府推廣數位典藏跟數位學習的內容成果,深化他們在學術跟人文社會領域的運用。
transcript.whisperx[238].start 8069.027
transcript.whisperx[238].end 8087.541
transcript.whisperx[238].text 除了教學研究的本業之外我過去20多年來曾經擔任過考試院、國科會、文件會、勞委會等機關的法會委員跟訴院委員也曾經擔任行政院消費者保護委員會的委員以及中央選舉委員會的委員對於政府應該如何發揮保護人民權利的職能
transcript.whisperx[239].start 8088.101
transcript.whisperx[239].end 8103.948
transcript.whisperx[239].text 以及選務機關如何用公平公正而且獨立中立的基本精神有效辦理民主國家的選舉跟公投事宜都有涉獵對於我來說這些都是理解民主國家權力部門運作跟人民權力保障之間緊密關係的機會
transcript.whisperx[240].start 8105.729
transcript.whisperx[240].end 8130.545
transcript.whisperx[240].text 另外我也積極參與釋憲申請的相關活動曾經擔任我國幾號重要大法官解釋的釋憲訴訟代理人並且參與法庭延遲辯論包括釋字689、613以及釋字603等解釋另外在釋字781、釋字11年憲判制13號跟11年憲判制1號裡面也都擔任過鑑定人的角色
transcript.whisperx[241].start 8132.643
transcript.whisperx[241].end 8147.117
transcript.whisperx[241].text 我相信自己在長年以來在視線活動當中所扮演的角色已經盡力發揮了公法學者協助維繫民主憲政體制下人權保障跟權力分立制衡的價值這樣的功能
transcript.whisperx[242].start 8148.158
transcript.whisperx[242].end 8163.267
transcript.whisperx[242].text 這些有助於民主憲政發展.跟人權深化的事現實戰經驗.大致上除了跟我個人的學術專長有關之外.主要是起源於我對言論自由、新聞自由.跟資訊隱私等等重要人權價值的堅持.
transcript.whisperx[243].start 8164.847
transcript.whisperx[243].end 8185.922
transcript.whisperx[243].text 我除了曾經擔任臺灣人權促進會會長.執行委員.長達15年以上.以義務人權工作者的身份奉獻幾多時間.經歷.參加過爭取網路自由、集會遊行自由.政府資訊公開.反國民卡.反對強制全民按耐指紋換取身份證.健保資料庫跟基因資料庫的保護.
transcript.whisperx[244].start 8187.423
transcript.whisperx[244].end 8210.397
transcript.whisperx[244].text 樂生療養院案、居住權、國際人權公約跟國家人權委員會.以及中國跟國際移民難民的個案協助等等倡議活動之外.我在其他公共事務參與方面.也曾經擔任臺灣法學會理事長.跟理監事、橙色社長.以及臺灣首富民主平台理事等社會團體的公益職務活動.
transcript.whisperx[245].start 8211.698
transcript.whisperx[245].end 8235.785
transcript.whisperx[245].text 甚至也曾經應目前仍然囚禁於香港黑勞動當中的李智英先生的邀請.擔任臺灣醫傳媒集團倫理委員會的首任主委協助調解新聞自由與人權保障兩者間的衝突這些出於對臺灣社會長期貫切而來的義務社會參與是我用來理解臺灣社會各種現實面貌以補強專業知識的最難得養分
transcript.whisperx[246].start 8238.166
transcript.whisperx[246].end 8258.263
transcript.whisperx[246].text 我非常感謝在過去20多年裡在各個社會運動領域和我一起為台灣的民主、憲政和人權價值奮鬥的社運界和學界夥伴他們是目前身為大法官被提名人的我多年來學習如何面對有權有勢者的最重要啟發者最後值得一提的是
transcript.whisperx[247].start 8259.184
transcript.whisperx[247].end 8272.879
transcript.whisperx[247].text 我近年來在OECD國家所促成的重要政府間人工智慧國際組織G-PAY當中的專業工作我以來自國立台灣大學教授的個人身份獲得G-PAY會員國大會決議邀請擔任專家職務
transcript.whisperx[248].start 8275.382
transcript.whisperx[248].end 8286.811
transcript.whisperx[248].text 截至目前為止﹐我仍然是GPAY唯一來自華語世界的專家﹐我除了擔任計畫主持人之外﹐也把台灣的人工智慧法治研究團隊﹐引進給國際社群認識﹐這個難得的國際組織經驗﹐也應該有助於我的視線工作﹐
transcript.whisperx[249].start 8294.057
transcript.whisperx[249].end 8308.806
transcript.whisperx[249].text 將來可以精準掌握數位憲政主義下的憲政價值.跟人權保障的發展路徑.協助憲法法庭深入理解自己在人工智慧時代.如何善盡民主憲政與人權保障的基本價值.
transcript.whisperx[250].start 8309.867
transcript.whisperx[250].end 8331.473
transcript.whisperx[250].text 在已經邁入第28年的教學研究生涯當中﹐我有幸深入探索數位資源跟知識的禁用﹐如何影響每個人的人格自由跟基本權利﹐我對科技人權議題的長期耕耘﹐將來必然會對事件工作當中的互相對話﹐說服跟折衝協調發揮影響力﹐
transcript.whisperx[251].start 8333.354
transcript.whisperx[251].end 8347.953
transcript.whisperx[251].text 我在過去至今的學識過程裡面﹐對於知識與言論在民主社會當中所扮演的角色﹐向來有不宜的堅定信念﹐也深信法學界的知識分子應該不吝於參與各種公共事務﹐
transcript.whisperx[252].start 8349.415
transcript.whisperx[252].end 8373.775
transcript.whisperx[252].text 才能夠有助於促成臺灣社會的憲政體系和人權文化持續不斷的發展跟深化我相信擔任市憲者的基本職責是落實憲法保障人民基本權利的最終意志身為公法學者我這樣子的人擔任大法官必將忠於個人身性的民主憲政跟人權保障基本理念發揮學術專長成為稱職而且無貴於心的憲法守護者
transcript.whisperx[253].start 8378.74
transcript.whisperx[253].end 8387.054
transcript.whisperx[253].text 謝謝大家好 謝謝劉備提名人的說明現在進行委員詢問首先請林委員議軍詢問
transcript.whisperx[254].start 8418.993
transcript.whisperx[254].end 8422.194
transcript.whisperx[254].text 主席好請提名人請劉備提名人答詢
transcript.whisperx[255].start 8434.554
transcript.whisperx[255].end 8455.132
transcript.whisperx[255].text 首先我詳細看了你的個人簡介剛才也聽了你的口頭報告發現被提名的你其實是有曾經當任過臺灣人權促進會會長及執行的委員長達15年的時間你長期以義務人權工作者的身份參與各項爭取人權自由的社會運動對吧是
transcript.whisperx[256].start 8457.967
transcript.whisperx[256].end 8481.14
transcript.whisperx[256].text 那很好我對於你積極參與公共的事務還有推動人權運動守護臺灣民主的熱忱還有這種勇氣其實是很欽佩的尤其是勇於對外發言和爭辯時事的勇氣好接下來我要請問一下提名人你在簡介中提及你很感謝過去20多年來在各種社會運動領域和你一起為臺灣民主憲政及人權價值奮鬥的社運的夥伴
transcript.whisperx[257].start 8486.863
transcript.whisperx[257].end 8515.361
transcript.whisperx[257].text 你認為這些夥伴們是你多年來學習如何面對有權有勢者的重要啟發者對吧是我發現這幾年來的人權社會運動果然是讓我見識到參與社會的運動者什麼才是叫做真正的如何面對有權有勢者的向上管理的能力據說你是陳社生綠出身所以那你跟民進黨生綠高層關係真的很好
transcript.whisperx[258].start 8516.081
transcript.whisperx[258].end 8517.702
transcript.whisperx[258].text 所以因為我從你這幾年的表現還有新聞上面披露的報導發現你為了向綠營執政的權力核心靠攏你的對外大炮的攻擊不論是面對當時的總統打菜
transcript.whisperx[259].start 8531.63
transcript.whisperx[259].end 8536.413
transcript.whisperx[259].text 蔡英文執政時,為了給予向執政黨表態效忠.使出渾身解數.對當時擔任台大校長的管中銘.不斷地進行人身攻擊、造謠抹黑.果然是卡管有功.又因為過去曾公開批評過前總統蔡英文的論文抄襲問題.
transcript.whisperx[260].start 8561.59
transcript.whisperx[260].end 8561.61
transcript.whisperx[260].text 韓國瑜議員
transcript.whisperx[261].start 8588.278
transcript.whisperx[261].end 8605.912
transcript.whisperx[261].text 舉例2017年的時候當時的蔡英文總統執政的時候你曾經痛批執政黨的前瞻基礎建設每年度都是舉債的額度不受公共債務法的限制你批評認為這根本就是嚴重的違憲危機和財政的危機2019年前總統
transcript.whisperx[262].start 8610.356
transcript.whisperx[262].end 8628.461
transcript.whisperx[262].text 蔡英文身陷博士論文風波的時候那時候你還公開質疑博士論文的紙質的問題甚至還認為外來的論文不應該放在我國的國家圖書館網站的上面所以你覺得蔡英文的論文有問題你覺得有還是沒有
transcript.whisperx[263].start 8629.641
transcript.whisperx[263].end 8648.333
transcript.whisperx[263].text 我想跟委員說明一下依照我們現行的辦法的確我們國圖的碩博士論文是收錄國內大學院校的碩博士論文不是收錄國外的大學院校的碩博士論文那你覺得他的論文有沒有問題
transcript.whisperx[264].start 8649.414
transcript.whisperx[264].end 8674.392
transcript.whisperx[264].text 我從來沒有說過蔡總統的論文有問題因為我沒有任何的證據可以說他的論文有問題我想這個是一個報導上面的極大的誤解那我再問你新冠疫情的時候你也痛批現在的政務委員就是前衛福部長陳時中防疫不力那你覺得台灣的防疫做得不好嗎
transcript.whisperx[265].start 8675.433
transcript.whisperx[265].end 8693.154
transcript.whisperx[265].text 台灣的防疫不能說做得不好但是身為一個長期的人權工作者我認為在防疫的同時應該顧及到人權的保障而當時有非常多的過於便宜形式的做法
transcript.whisperx[266].start 8693.735
transcript.whisperx[266].end 8713.602
transcript.whisperx[266].text 其實是不恰當的我當時所提出來的建議是說我們應該在特別條例裡面有更嚴謹的法律的設計以便能夠保障人權那我相信這個幾乎現在已經成了各個國家在疫情之後的一個極大的共識
transcript.whisperx[267].start 8715.189
transcript.whisperx[267].end 8735.443
transcript.whisperx[267].text 那在民進黨前新竹市長林智堅還有前國安局局長陳明通他們有陷入論文的抄襲的風波中那你也都砲轟痛刺所以那我想請問一下被提名人你現在還是身為臺大國發所的所長那你認為林智堅跟陳明通的論文是不是有抄襲的問題呢?
transcript.whisperx[268].start 8737.164
transcript.whisperx[268].end 8740.046
transcript.whisperx[268].text 我想這個已經透過臺大的審定通過了我想這個臺大審定結果就是我的意見
transcript.whisperx[269].start 8748.772
transcript.whisperx[269].end 8776.628
transcript.whisperx[269].text 今年5月30號你從上午到晚間連續發了7篇文嘛批評執政黨王毅川就是現在我們剛新上任的立委說他所利用基地台人流分析的行為知道太多那你轉接相關的新聞並且提出了8點質疑還人身攻擊說蠢到爆表的地步這真的是你的真心話嗎是這些都是我的真心話我身為一個長期研究資訊法治的學者
transcript.whisperx[270].start 8777.188
transcript.whisperx[270].end 8793.195
transcript.whisperx[270].text 我認為我們在所謂的資料取得這方面的確有相當不充分的地方以至於有辦法取得資料的人有太多可以上下其手的機會這是不應該的這對整個國家的治理
transcript.whisperx[271].start 8794.8
transcript.whisperx[271].end 8814.416
transcript.whisperx[271].text 政黨之間的公平競爭人民的隱私權保障都是不利的做法那你在黨產條例釋憲案中擔任專家學者提供鑑定的意見那你認為黨產條例規定不違反法律禁止所及既往的原則比例與原則所以你主張黨產條例合憲對吧是
transcript.whisperx[272].start 8817.773
transcript.whisperx[272].end 8819.034
transcript.whisperx[272].text 報告委員我想我是一個從來都沒有特定政府政黨黨籍的人
transcript.whisperx[273].start 8847.128
transcript.whisperx[273].end 8867.285
transcript.whisperx[273].text 我所有的評論基本上都是根據我作為一個法學研究者身為一個知識分子所提出來的對於每一個個案的見解這些所謂的貼文或這些見解事實上在我被提名大法官之後我一則都沒有刪
transcript.whisperx[274].start 8868.666
transcript.whisperx[274].end 8892.558
transcript.whisperx[274].text 我呢所有的講法基本上都有一句我也對我所講過的每一句話每一個見解都負責那我覺得這樣子的基本特質其實呢對於一個即將擔任大法官的人來說其實是非常必要的因為呢大法官是需要根據法律獨立審判
transcript.whisperx[275].start 8893.718
transcript.whisperx[275].end 8904.728
transcript.whisperx[275].text 根據憲法保障人民權利的意志.不管執政者是誰.不管誰在朝誰在野.都必須要努力的監督他們.
transcript.whisperx[276].start 8907.386
transcript.whisperx[276].end 8926.137
transcript.whisperx[276].text 我發現你的個人的理想性非常的強烈那你的個人心證是非常的鮮明的所以我想請教一下就是未來如果你擔任大法官的時候依照你這樣的個性肯定會按耐不住還是會想要不斷的想要對外發言那你還是會堅持當自己繼續對外發言嗎
transcript.whisperx[277].start 8927.858
transcript.whisperx[277].end 8928.819
transcript.whisperx[277].text 法定人數不足
transcript.whisperx[278].start 8946.583
transcript.whisperx[278].end 8965.88
transcript.whisperx[278].text 講了太多話基本上會有不當揭露心證的問題所以呢這些問題我將來呢如果當了大法官之後我會避免我必須要承認的是說從我的養成過程裡面我的確有自己的價值取向跟基本信仰
transcript.whisperx[279].start 8966.981
transcript.whisperx[279].end 8990.228
transcript.whisperx[279].text 但是呢當了大法官之後這些價值取向跟基本信仰就像我回給每一個黨團的問卷裡面所說的都必須要在呢我國的憲政秩序跟憲法所保障的各式各樣的基本價值跟人權理念底下呢去重新做一個過濾跟彙整
transcript.whisperx[280].start 8993.786
transcript.whisperx[280].end 9009.063
transcript.whisperx[280].text 必須要用合乎我國憲政秩序跟基本價值理念的方式去展現出來所以這是一個必須要清楚的讓自己變成一個適當的憲法法庭
transcript.whisperx[281].start 9010.063
transcript.whisperx[281].end 9013.645
transcript.whisperx[281].text 那我再請問一下就是你認為在那麼多深綠的人權運動還有台獨的運動的前面面前你自己何德何能能夠被賴清的總統
transcript.whisperx[282].start 9031.317
transcript.whisperx[282].end 9048.863
transcript.whisperx[282].text 提名擔任大法官.這是不是你面對的有權有勢的向上管理.被酬庸的呢.否則依照你的學經歷.還有覺得自己有學術上面權威的地位.還有傲人的資格足以擔任大法官一職呢
transcript.whisperx[283].start 9049.973
transcript.whisperx[283].end 9075.351
transcript.whisperx[283].text 我要跟委員報告的是說我其實從來沒有對賴清德總統有任何的向上管理我跟他唯一的接觸其實就是說真正這個官方的接觸大概有以下幾點第一個是以前賴總統在擔任民進黨的立法委員的時候當時台灣人權促進會
transcript.whisperx[284].start 9078.193
transcript.whisperx[284].end 9102.432
transcript.whisperx[284].text 發起一個所謂的反全民按耐指紋領身份證的這樣的一個運動當時我跟顧立雄律師李念祖律師三個人擔任過由賴總統他們的立法院裡面的少數立委所發起的一個釋憲案我在那個案子裡面擔任呢
transcript.whisperx[285].start 9104.32
transcript.whisperx[285].end 9126.742
transcript.whisperx[285].text 訴訟代理人而當時基本上對抗的其實呢就是民進黨的行政院那另外一個呢有過接觸的我想這個是可能是賴總統很難過的經驗我不知道就是呢他在擔任
transcript.whisperx[286].start 9127.944
transcript.whisperx[286].end 9142.083
transcript.whisperx[286].text 行政院院長期間大概就是2016年、17年、18年那段時間那個委員你可以看一下我其實對賴總統的施政當時行政院的施政其實有非常多的批評
transcript.whisperx[287].start 9144.185
transcript.whisperx[287].end 9160.742
transcript.whisperx[287].text 我不知道賴總統為什麼提名我但是我想他對於我這兩件事情大概印象很深刻吧另外就像剛剛我所報告的我向來都是以科技人權議題作為我的研究領域
transcript.whisperx[288].start 9162.043
transcript.whisperx[288].end 9183.584
transcript.whisperx[288].text 我向來也非常忠於我自己的專業知識另外就是說我最近幾年其實對於人工智慧的國際組織的參與可能比較多一點這個其實是現在台灣社會不管是公部門或者是私部門都非常需要的
transcript.whisperx[289].start 9184.224
transcript.whisperx[289].end 9205.087
transcript.whisperx[289].text 所以或許是這樣的原因但是我無法預測也無法猜測謝謝那你剛才說到你是AI人工智慧的法學專家那我想問一下就是AI成為認知作戰的利器請問一下你個人對於最近中共在接
transcript.whisperx[290].start 9206.589
transcript.whisperx[290].end 9215.138
transcript.whisperx[290].text 兩次聯合歷屆軍演期間.有消息指出.國台辦指導在陸的臺親及陸籍人士.在臉書上面頻繁創建異常帳號.還有多組社團.對臺進行認知戰.
transcript.whisperx[291].start 9222.026
transcript.whisperx[291].end 9238.994
transcript.whisperx[291].text 近3個月以來發現有154組的臉書帳號及40組的社團有明顯的異常的態樣那因屬於集團式的操作那你個人如何看待這個國安問題呢因為我們的國安單位到現在還不願意對外公開證實
transcript.whisperx[292].start 9240.735
transcript.whisperx[292].end 9253.725
transcript.whisperx[292].text 是的,我想這不僅是台灣的國安問題而已對全世界每一個國家尤其是處在對抗威權體制的第一線國家來說基本上都是嚴重的問題
transcript.whisperx[293].start 9256.685
transcript.whisperx[293].end 9284.536
transcript.whisperx[293].text 這些事情的確都存在國際上也有很多的機構在合作處理這樣的事情我覺得我們的國安單位或許可以更積極一點來處理這樣的事情不過在這裡我想必須要提醒大家的事尤其提醒立法院的事要處理這些問題基本上都不免會涉及到人民的基本權利保障的事
transcript.whisperx[294].start 9285.316
transcript.whisperx[294].end 9286.096
transcript.whisperx[294].text 法律保留原則
transcript.whisperx[295].start 9303.444
transcript.whisperx[295].end 9317.654
transcript.whisperx[295].text 法律明確性原則等等等這些基本的要求來檢視這樣子的立法跟措施我想這個就是一個立法部門或者是政治部門的一個
transcript.whisperx[296].start 9319.334
transcript.whisperx[296].end 9334.299
transcript.whisperx[296].text 政策形成空間的問題以後大法官能夠把關的就是到底在所謂的公共利益的保護跟人民權利的保護上面應該如何做成適當的平衡跟協調
transcript.whisperx[297].start 9335.359
transcript.whisperx[297].end 9357.864
transcript.whisperx[297].text 好那照你剛才這樣講那現在AI的技術確實是一個產業還有為大家生活帶來很多的便利但是同時也是一個雙面刃所以AI技術加速新型犯罪與認知作戰那你如果說像請教一下就是如果中共用AI對台灣認知作戰這樣你會不會擔心呢
transcript.whisperx[298].start 9358.664
transcript.whisperx[298].end 9384.539
transcript.whisperx[298].text 我想我是擔心的我是擔心的但是我要更加的強調就是說這樣子的作戰如何去反抗或如何呢進一步的去反擊基本上呢必須要有立法部門跟行政部門的共同我剛才講的這些就是說但你會覺得說這樣是不是有跟中國有一點裡應外合的嫌疑還是我們台灣根本沒有能力查出來呢依照你的專業
transcript.whisperx[299].start 9386.46
transcript.whisperx[299].end 9401.517
transcript.whisperx[299].text 我覺得台灣並不是沒有能力查出來但是因為科技變化得太快所以有時候不管立法部門或行政部門沒有辦法真正跟得上
transcript.whisperx[300].start 9402.838
transcript.whisperx[300].end 9428.255
transcript.whisperx[300].text 再加上立法部門跟行政部門之間的共識可能不是很高所以其實就變得更加的困難至於有沒有理運外合這些事情我覺得就必須要看我們的法律我們的政策上面要怎麼樣界定這些事不管如何如果要處罰的話Again 我要講的是說必須要有清楚的法律來做這樣的處理
transcript.whisperx[301].start 9431.557
transcript.whisperx[301].end 9449.689
transcript.whisperx[301].text 我們在保護國家的同時可能也沒有辦法去冤枉任何一個台灣中華民國的國民說他如何如何必須要有清楚的法律才能夠界定基本上誰是有問題的誰應該受到什麼樣的處罰
transcript.whisperx[302].start 9452.675
transcript.whisperx[302].end 9473.945
transcript.whisperx[302].text 最後一個問題我想請教一下就是你對廢除死刑究竟是支持還是反對請明確的表態跟委員報告我曾經擔任過臺灣人權促進會的會長我呢到目前為止我個人的理念向來都是呢我們應該走向一個沒有死刑的國家
transcript.whisperx[303].start 9475.969
transcript.whisperx[303].end 9493.802
transcript.whisperx[303].text 但是因為憲判制第8號其實已經做了死刑核限的判決雖然我個人對於這個死刑核限的判決感到非常的遺憾但是也覺得裡面還有一些沒有講清楚的地方
transcript.whisperx[304].start 9495.443
transcript.whisperx[304].end 9517.408
transcript.whisperx[304].text 應該要處理的地方比如說呢我在問卷回答裡面特別強調的我們這個國家這麼多年來想要廢除死刑甚至政府部門也做了一些努力但是呢非常可惜的是我們在被害人保護的這個部分做得不夠好不夠多
transcript.whisperx[305].start 9519.144
transcript.whisperx[305].end 9540.95
transcript.whisperx[305].text 包括被害人家屬如何參加訴訟程序獲得一個舒緩我覺得這個部分都是做得不夠好的事實上我過去在社運圈裡面在處理廢死的相關議題的時候我們也花了很多的力氣跟被害人跟被害人家屬
transcript.whisperx[306].start 9541.85
transcript.whisperx[306].end 9570.449
transcript.whisperx[306].text 以及政府部門做了非常多的溝通跟倡議的工作我們現在僅有的這些法律規定保護被害人家屬的法律規定坦白講很多都是我們在民間團體的時候去倡議出來的那我覺得政府應該負擔更多立法部門應該負擔更多保護被害人家屬的工作
transcript.whisperx[307].start 9571.656
transcript.whisperx[307].end 9572.957
transcript.whisperx[307].text 有關今年9月20號大法官釋憲113年的憲判制
transcript.whisperx[308].start 9589.727
transcript.whisperx[308].end 9610.296
transcript.whisperx[308].text 第8號的判決主文.裡面有認為各種法院的合議庭的法官.如苛處此刑的判決應處於一致決.那這理由是說明在國民法官案件中.是指職業法官一致決.也就是不包括素人法官.我想聽聽看你這樣對這個有什麼看法
transcript.whisperx[309].start 9610.996
transcript.whisperx[309].end 9611.597
transcript.whisperx[309].text 好 謝謝林委員
transcript.whisperx[310].start 9637.607
transcript.whisperx[310].end 9663.88
transcript.whisperx[310].text 謝謝被提名人接下來請郭育晴委員詢問好,有請劉靜怡大法官我們請被提名人答詢
transcript.whisperx[311].start 9671.325
transcript.whisperx[311].end 9692.14
transcript.whisperx[311].text 有大法官早安我想憲法法庭跟大法官存在的一個意義這個部分等一下會請您再來說明一下我想憲法法庭作為憲法保障機制的一個核心那它的運作其實是依據憲法訴訟法的第一條審理以下類型的一些案件
transcript.whisperx[312].start 9692.76
transcript.whisperx[312].end 9693.241
transcript.whisperx[312].text 內政部特別申請
transcript.whisperx[313].start 9714.944
transcript.whisperx[313].end 9731.929
transcript.whisperx[313].text 就是宣告政黨解散的一個首例就是統促黨那是因為針對這個統促黨涉嫌收受7400萬介入台灣的大選那在這個檢查機關他們已經依照反滲透法來做這樣子的一個起訴
transcript.whisperx[314].start 9732.728
transcript.whisperx[314].end 9761.485
transcript.whisperx[314].text 那他還不只是介入我們的大選那同時在這個15年來高達有134人他們的組織的成員也涉入了多起的刑案危及國家的一些安全那麼包含不管是這個違反國安法、反滲透法、總統罷免法其中有8案有牽扯11人從民國99年一直到113年之間他們也涉及了很多的刑案包含殺人
transcript.whisperx[315].start 9762.325
transcript.whisperx[315].end 9768.89
transcript.whisperx[315].text 包含強盜、包含跨國人口販運等等所以依照這樣子的一個政黨法的一個查處
transcript.whisperx[316].start 9769.758
transcript.whisperx[316].end 9792.144
transcript.whisperx[316].text 所以申請憲法法庭將其作決算我為什麼特別舉這個例子因為其實就是想要來凸顯也請我們的劉大法官也來說明一下關於所謂的憲法法庭的角色是不是能夠充分擔起保障憲法權威以及維護人民權利的一個職責
transcript.whisperx[317].start 9793.564
transcript.whisperx[317].end 9811.391
transcript.whisperx[317].text 那我們的核心價值還有我們在憲政體制當中的獨特的一個功能應該要如何體現那作為所謂的憲法法庭的成員那大法官在審理上述我剛剛所說的這些案件當中又要怎麼樣來體現所謂的憲法守護者的一個角色發揮應有的影響力
transcript.whisperx[318].start 9815.269
transcript.whisperx[318].end 9831.824
transcript.whisperx[318].text 謝謝委員的提問我想委員剛剛提到的政黨解散的個案因為未來有可能進入憲法法庭基於司法倫理的要求以及大法官不能夠
transcript.whisperx[319].start 9832.805
transcript.whisperx[319].end 9858.692
transcript.whisperx[319].text 提早過度揭露新證的這些基本的原則呢我想呢我就不針對個案來做回答但是它事實上呢就是我們憲法裡面以及呢憲法訴訟法裡面還有呢政黨法裡面所說的政黨解散案件政黨違憲解散案件那政黨違憲解散案件基本上就是必須要符合政黨的目的或行為基本上危害
transcript.whisperx[320].start 9859.172
transcript.whisperx[320].end 9859.532
transcript.whisperx[320].text 《憲法訴訟法》
transcript.whisperx[321].start 9889.19
transcript.whisperx[321].end 9914.999
transcript.whisperx[321].text 在任何情況底下都會被受理大家可以看得到我們每年大法官做成的案件其實判決是有限的那就表示說人民申請案件必須要有憲法重要性必須要是貫徹基本權利所必要而且經過審查庭跟憲法法院的裁定受理之後才會進入程序所以換句話說憲法法院是一個非常特殊的一個救濟程序
transcript.whisperx[322].start 9916.781
transcript.whisperx[322].end 9927.3
transcript.whisperx[322].text 這也是憲法法院對一個國家的維護民主制度、民主憲政制度跟維護人權保障最重要、最特殊的地方
transcript.whisperx[323].start 9928.666
transcript.whisperx[323].end 9949.507
transcript.whisperx[323].text 那我想接下來其實因為今天時間的關係我想憲法法庭跟大法官最終的目的其實是服務人民我想這是絕對沒有任何疑義的那為了要確保這個不受到人民的應該是說不受到違憲行為的一些侵害我們才會訴諸所謂的這個憲法法庭
transcript.whisperx[324].start 9950.248
transcript.whisperx[324].end 9974.574
transcript.whisperx[324].text 那才能夠得到就是人民他所謂的這個正義的最後的一道防線其實就是憲法法庭很多人可能不知道說原來我們的憲法法庭申請的案件其實96.69%都是跟人民請願案有非常大的一個關係但是就剛剛其實大法官您特別提到其實整個所有最後成案能夠判決下來其實
transcript.whisperx[325].start 9975.754
transcript.whisperx[325].end 9995.748
transcript.whisperx[325].text 那個機率其實承案率或者是說到最後其實那個機率其實是有一定的程序其實也不是很高但是我們就用113年的憲判字號的類型我們來做一下例子從第1號到第11號其中在今年的5月就是第6號
transcript.whisperx[326].start 9996.809
transcript.whisperx[326].end 10024.083
transcript.whisperx[326].text 就是消防警察人員他們的考試升高的限制案當然憲法法庭認為這個現行對於所謂的這個警校人員他們升高在規定的部分排除了男性的部分是10%但是卻排除了55%的這個55%的一個女性這個對於女性的這個應考人員其實是不公平的那這個部分其實也是宣判是違憲的
transcript.whisperx[327].start 10025.063
transcript.whisperx[327].end 10037.348
transcript.whisperx[327].text 那另外呢第7號就是我們看到這個中小學的代理教師之前的年資提敘案這個部分呢其實我們也是宣判他是違憲的那最主要的就是
transcript.whisperx[328].start 10038.564
transcript.whisperx[328].end 10063.036
transcript.whisperx[328].text 以目前教育部由各個縣市政府自行製定補充的相關法令一年內當中教育部應該要重新來做修正也就是說將來只要有合格的教師證的代理老師他其實都有機會在他之前的年資要提續不會因為他轉換到其他的學校他前面所有的年資要重新來做計算
transcript.whisperx[329].start 10063.956
transcript.whisperx[329].end 10085.871
transcript.whisperx[329].text 這樣是不公平的那這個部分其實我們的憲法法庭也做出了一些判決所以其實96.69%都是跟人民的請願有關也就是說最後都會是人民他在自立救濟當中的最後一道防線我們要成為人民的一個後盾那面對這個人民申請案的比例這麼高的一個狀況之下
transcript.whisperx[330].start 10087.252
transcript.whisperx[330].end 10091.396
transcript.whisperx[330].text 謝謝委員提問如果從我們憲法法庭的發展史來看其實在憲法訴訟法修正之後其實人民的權力救濟的案子的確增加很多
transcript.whisperx[331].start 10116.876
transcript.whisperx[331].end 10144.032
transcript.whisperx[331].text 可是在事件實務上面因為憲法法庭的資源有限所以大法官在選案的時候就非常的重要委員所提到的這些案子其實都是大法官在審查庭選案之後的結果然後經過全院的大法官決定要受理之後才有辦法進入實質的審查程序當然選案的時候就必須要看
transcript.whisperx[332].start 10144.992
transcript.whisperx[332].end 10166.923
transcript.whisperx[332].text 到底這個案子的爭議對於人民權利的保障到底重要性有多高的問題那我必須要講的是我們的憲法法院其實到目前為止資源都是相當不足的不管是大法官的研究資源的配置或者是助理
transcript.whisperx[333].start 10167.81
transcript.whisperx[333].end 10191.298
transcript.whisperx[333].text 大法官有助理,或者是大法官呢,書記處的,現在不是叫書記處的一些資源配置,我覺得都還有相當大的一個強化的空間。那當然這個部分呢,就必須要有賴未來司法院跟立法院一起在預算上面能夠合作跟努力。
transcript.whisperx[334].start 10194.06
transcript.whisperx[334].end 10217.859
transcript.whisperx[334].text 我會認為說一個國家如果真正要變成現代的民主憲政國家他的憲法法院的現代化是非常重要的他的憲法法院能夠真的受到人民的尊重這是非常重要的事情更重要的是一個憲法法院的效率
transcript.whisperx[335].start 10219.32
transcript.whisperx[335].end 10245.972
transcript.whisperx[335].text 也是非常重要的事情我們過去曾經有很長的一段時間是處在三分之二、三分之二的那個情況底下所以有非常多的我套據前任司法院副院長蘇永青先生蘇永青老師的講法就是所以製造了非常多的死案那這些死案長期放在那個地方其實會導致人民
transcript.whisperx[336].start 10247.073
transcript.whisperx[336].end 10249.596
transcript.whisperx[336].text 所以我想這個部分其實就是必須要有賴大家一起努力的地方謝謝
transcript.whisperx[337].start 10263.092
transcript.whisperx[337].end 10282.394
transcript.whisperx[337].text 因為在112年憲法法庭總共受理了2876件的一個申請案件那當然我剛剛講96.69%其實都是跟人民的這個申請訴願案是有關的那接下來其實比較嚴重的問題這個就是在野黨的他們提出了憲法訴訟法當中的這個修正草案
transcript.whisperx[338].start 10283.117
transcript.whisperx[338].end 10306.733
transcript.whisperx[338].text 那要把所謂的大法官的人數的規定從現有的總額修正成所謂的法定的總額那剛剛有特別提到這個三分之二如果將這個裁判作為門檻提高至法定總額的三分之二會不會直接影響到人民基本權的一個保障我們舉例來講在現有總額都有可能成為比方說像是9票對6票
transcript.whisperx[339].start 10308.132
transcript.whisperx[339].end 10329.74
transcript.whisperx[339].text 8票對7票就是大概有這樣子就是讓案件無法通過的一個狀況之下如果再把門檻提高到所謂的法定總額那其實是不是也就徒增了人民他們在自立救濟當中他們的權益的受損甚至於是導致變成他們想要溯源的一種障礙呢
transcript.whisperx[340].start 10330.452
transcript.whisperx[340].end 10355.589
transcript.whisperx[340].text 好,我想我跟委員報告一下就是有關於貴院在憲法訴訟法的修正上面我想呢,基於權力分立跟制衡的原則作為司法者,未來的司法者基本上呢,我基本上就是先尊重貴院的政治部門之間的協調看看你們能夠修出什麼樣的法律來這個部分呢,我不辨智慧
transcript.whisperx[341].start 10356.289
transcript.whisperx[341].end 10377.883
transcript.whisperx[341].text 不過我們現在的憲法訴訟的制度改成憲有總額的這個部分其實跟我剛剛說的過去很難做成違憲判決甚至也很難做成合憲判決以至於沒有辦法保護人民的權益的這個歷史發展其實是有關係的
transcript.whisperx[342].start 10379.344
transcript.whisperx[342].end 10397.36
transcript.whisperx[342].text 所以如果要把法律修正成這樣子的狀況的話那我認為應該要有好的配套的制度或措施來確保憲法法庭的實質運作可能性不要損及憲法賦予司法權的司法自主性
transcript.whisperx[343].start 10398.081
transcript.whisperx[343].end 10424.102
transcript.whisperx[343].text 或者去防害到大法官職權的行使因為大法官職權的行使是我們司法權相當核心的領域這個是不應該被限制的因為這個在實務的一個運作上面其實等於也增加了一般人民他們的基本權的一個侵害我認為如果這樣子做的話會導致憲法法庭的效率大幅的降低
transcript.whisperx[344].start 10424.462
transcript.whisperx[344].end 10452.684
transcript.whisperx[344].text 因為還有一種可能就是在現行的一個制度之下其實光是利益迴避就是迴避這件事情其實也會發生在憲法法庭身上所以往往因為迴避的問題我們的人數的部分其實也會導致也會有影響所以這個在理論上如果要修法的話我當然沒有辦法在這邊提出具體的建議如果有迴避的問題的話就必須要在憲法訴訟法的修法過程當中做一個適當的處理那我要強調的是說
transcript.whisperx[345].start 10454.565
transcript.whisperx[345].end 10455.687
transcript.whisperx[345].text 法定人數不足
transcript.whisperx[346].start 10472.162
transcript.whisperx[346].end 10475.947
transcript.whisperx[346].text 我都相信所有的國會修法都是基於善意而來的我們也希望是這樣我們希望都是這個樣子
transcript.whisperx[347].start 10488.393
transcript.whisperx[347].end 10506.699
transcript.whisperx[347].text 那再來就是我想請教一下就是身為女性的大法官我們是如何看待這個兒少性侵害的案件這個追溯期的一個部分我舉個例子來講我相信這個25年過去了那這位受害者呢他現在是32歲
transcript.whisperx[348].start 10508.283
transcript.whisperx[348].end 10523.381
transcript.whisperx[348].text 事件發生的時候他當年才7歲那他當年7歲呢好不容易現在32歲他可能也許在社會上在工作上他有一定的一個自我自我認知的一個意識他想要回過頭來勇敢的站出來來對
transcript.whisperx[349].start 10525.203
transcript.whisperx[349].end 10554.669
transcript.whisperx[349].text 曾經對他加害人的親戚來做提告的一個動作但是也很無奈的就是說當時在1999年的時候他的刑法還沒有修訂當時的追溯期限只有20年那也就是說以當時的20年到他能夠在2019年的8月底這個才是他的能夠追溯的範圍但因為他今年才站出來所以導致
transcript.whisperx[350].start 10555.265
transcript.whisperx[350].end 10560.211
transcript.whisperx[350].text 他想要得到遲來的正義都有可能會永遠看不到
transcript.whisperx[351].start 10569.411
transcript.whisperx[351].end 10586.346
transcript.whisperx[351].text 被害人在步入社會在有正常的工作他能夠去勇敢的面對自己的過去曾經我們在衛福部也有特別做過一些統計在衛福部的統計2023年性侵害的被害人總共有9,413人其中
transcript.whisperx[352].start 10590.623
transcript.whisperx[352].end 10619.243
transcript.whisperx[352].text 18歲以下的高達了有5155人而這5155人當中又有80%是熟人加害所為這些熟人包含哪一些呢家人、親戚、老師甚至於所謂的體育老師、教練等等這是所謂的熟人所以光是這樣子對於所謂的權力不等或者是他們害怕、恐懼
transcript.whisperx[353].start 10620.323
transcript.whisperx[353].end 10647.377
transcript.whisperx[353].text 到我們的追溯期我今天要談的就是我們的追溯期喔那雖然我們現在追溯期是20年到30年的一個現行的一個規範但在有一些國家甚至在美國有許多州他們其實是沒有追溯期的也希望能夠取消這追溯期身為女性法官您對於所謂的兒少被性侵的案件那今年這件我剛剛所說的這個例子它現在也在今年3月喔
transcript.whisperx[354].start 10648.051
transcript.whisperx[354].end 10653.663
transcript.whisperx[354].text 我們的憲法法庭也來受理了那您對這個追溯期的部分您的看法
transcript.whisperx[355].start 10654.394
transcript.whisperx[355].end 10680.844
transcript.whisperx[355].text 好,謝謝委員的提問那這個問題是刑法第80條規定一律以犯罪成立的時間點來計算而且只有依法定型的輕重定有不同的追溯期所導致的問題那這裡其實真正的爭點就像剛剛委員所說的沒有考量犯罪被害人的特殊情況比如說兒少性侵害的特殊情況裡面被害人年紀較小提出刑事告訴有困難
transcript.whisperx[356].start 10682.144
transcript.whisperx[356].end 10709.045
transcript.whisperx[356].text 加害者跟被害人有緊張的關係或是有權勢關係國家事實上也很難去發現這些被害人的處境等等如果從這個角度來看再加上我們對於比較法上面的研究的粗淺心得我想兒少性侵案的犯罪追溯期怎麼期算或者追溯期間的長短我個人基於學理的立場我認為是有追溯空間的
transcript.whisperx[357].start 10710.366
transcript.whisperx[357].end 10731.935
transcript.whisperx[357].text 我的理解是今年已經有立法委員也提出了修正案希望能夠去研擬、排除或改為被害人成年之後才開始計算追溯期這樣的講法當然法務部還沒有完全接納這樣子的主張也許這個就必須要再做更進一步的民主審議跟協調
transcript.whisperx[358].start 10733.877
transcript.whisperx[358].end 10751.68
transcript.whisperx[358].text 這是針對刑法的部分那另外其實在針對所謂的民法球場的部分我想這個是完全嚴重的跟不上那我相信您應該也非常的清楚在民事球場的部分是不是也應該要得到一些重視因為目前現行的這個民法球場的部分
transcript.whisperx[359].start 10752.3
transcript.whisperx[359].end 10777.876
transcript.whisperx[359].text 受害人必須要知悉自己被侵害兩年之內.或者是發生行為的10年之內.我們可想而知.剛剛我所提到的這位被害者.他是在7歲的時候.也就是說當他7歲.甚至現在有很多我們收到的一些陳情案件.他們受害者的年紀更小.是5歲.他要在7歲的時候兩年之內.他要知道自己原來這樣叫做被性侵.
transcript.whisperx[360].start 10778.576
transcript.whisperx[360].end 10805.692
transcript.whisperx[360].text 才能夠去提起所謂的這個民事的求償的部分這個部分我想應該也是嚴重的落後是不是也一併要納入考慮是是謝謝委員提問我剛剛沒有講完的就是說關於刑事的那個部分因為現在已經有釋憲案在憲法法庭系署當中所以我其實不方便發表這個這個具體的評論那立法上面呢我覺得就是要靠各位關心而造
transcript.whisperx[361].start 10806.352
transcript.whisperx[361].end 10806.712
transcript.whisperx[361].text 8提名張文貞:
transcript.whisperx[362].start 10825.478
transcript.whisperx[362].end 10848.444
transcript.whisperx[362].text 針對兒少性侵的這些案件可以有一個特別的規定事實上過去上一屆的立委也有人提出來過民法徵定197條之一的條文草案我想可能委員也清楚是對未成年人受到性侵跟妨害性自主的行為所生的損害賠償請求權從被害人成年期開始起算20年
transcript.whisperx[363].start 10850.385
transcript.whisperx[363].end 10850.705
transcript.whisperx[363].text 謝謝郭委員、謝謝貝提名人
transcript.whisperx[364].start 10879.764
transcript.whisperx[364].end 10895.109
transcript.whisperx[364].text 下一位我們請陳玉珍委員詢問謝謝主席有請我們劉靜怡被提名人請被提名人答詢
transcript.whisperx[365].start 10902.745
transcript.whisperx[365].end 10926.677
transcript.whisperx[365].text 劉教授我看您剛剛這個回答的都不卑不亢非常的好那但是我也要請您大概注意一下像剛剛所說的這個尤其您說這個憲法法庭的如果總額的這個問題可能還有配套那事實上翁小林委員所提出來這個憲法總額是有把該迴避的名額扣掉的所以有時候在接受資訊的時候要做判斷的時候
transcript.whisperx[366].start 10927.037
transcript.whisperx[366].end 10954.668
transcript.whisperx[366].text 有的人準備不全或是不了解事情的全貌但是事實上你們在做相關的這個時候是需要做全面性的了解在這個配套說是有的那我想跟您討論一下我發現您的這個我對這個大法官被提名的這個標準我大概自己把它分為這四項學術專業國家認同品德操守跟人權保障這四項那我剛剛看到我看您的這個回答事實上是比較就是
transcript.whisperx[367].start 10957.423
transcript.whisperx[367].end 10957.663
transcript.whisperx[367].text 委員會主席
transcript.whisperx[368].start 10987.603
transcript.whisperx[368].end 10987.943
transcript.whisperx[368].text 額有權威著作權威著作是哪一本?
transcript.whisperx[369].start 11002.502
transcript.whisperx[369].end 11024.476
transcript.whisperx[369].text 謝謝委員的提問我當然不敢說自己是權威雖然法律上面是這樣規定不過我個人在言論自由、新聞自由跟資訊隱私的幾個領域我其實有非常多的專論我看到你有很多文章有兩本專書那其他大部分都是
transcript.whisperx[370].start 11028.679
transcript.whisperx[370].end 11037.234
transcript.whisperx[370].text 文章收錄還有一些未出版的因為還要經立明審查還有未出版的一些文章收錄所以這兩本書是所謂的權威著作嗎?您會這樣認為嗎?
transcript.whisperx[371].start 11038.544
transcript.whisperx[371].end 11040.905
transcript.whisperx[371].text 在國內也受到非常多的引用所以你也不認為是權威著作了
transcript.whisperx[372].start 11060.7
transcript.whisperx[372].end 11061.14
transcript.whisperx[372].text 法定人數不足
transcript.whisperx[373].start 11091.34
transcript.whisperx[373].end 11115.106
transcript.whisperx[373].text 復合任命為大法官的標準品德操守人非聖賢 孰人無過知錯人改善莫大焉注意到媒體我今天特別給您一個說明的空間我注意到您曾經在臉書放說我們廣中民校長就是副下大使違法兼職又稱他是兼職台灣大的獨董
transcript.whisperx[374].start 11116.266
transcript.whisperx[374].end 11131.934
transcript.whisperx[374].text 那這個臺大有一個認定喔這個管中銘未附陸兼職符合教育部規定這個臺大認定你覺得是臺大是你認知的學校嘛臺大認知認定說管中銘沒有附大陸兼職您說他違法兼職那你覺得臺大這個認定是正確的嗎
transcript.whisperx[375].start 11133.059
transcript.whisperx[375].end 11148.867
transcript.whisperx[375].text 台大當時的認定基本上是用廈門大學的回函來做認定這是一個行政上的認定所以你認為台大的因為台大有這個新聞這個台大這個認定是正確還是不正確我認為是一個不盡正確的偏頗認定所以你認為台大的認定是一個
transcript.whisperx[376].start 11160.672
transcript.whisperx[376].end 11165.094
transcript.whisperx[376].text 因為我自己本身不是當事人所以我不可能有陳述的機會又說到管中銘違規兼職列教育部的這個名單就台大說當時已經卸任讀董那這個東西比較明確了吧
transcript.whisperx[377].start 11188.945
transcript.whisperx[377].end 11189.105
transcript.whisperx[377].text 委員報告
transcript.whisperx[378].start 11206.966
transcript.whisperx[378].end 11220.846
transcript.whisperx[378].text 在沒有獲得臺大校方的同意之前就去擔任臺歌大的讀董、新知委員會等等的這個事情呢其實事後在
transcript.whisperx[379].start 11222.408
transcript.whisperx[379].end 11241.944
transcript.whisperx[379].text 檢察院的彈劾案裡面講得非常清楚所以呢這個部分呢我並沒有講錯台大說他當時已經卸任讀董了已經辭卸任所以你說辭卸任沒有問題你說他去擔任以前沒有去那個嘛他擔任之前沒有經過台大就已經有違法事實了
transcript.whisperx[380].start 11246.207
transcript.whisperx[380].end 11268.719
transcript.whisperx[380].text 所以您到今天還是認為說臺大的這些認定是偏頗或是不正確的您還是覺得您的指控是正確的接著您說對於我們管校長他說您的國發所的論文抄襲這個部分你說不回應是因為不確實還是怎樣
transcript.whisperx[381].start 11271.237
transcript.whisperx[381].end 11272.717
transcript.whisperx[381].text 國發所論文抄襲並不是我抄襲所以我不知道我要回應什麼
transcript.whisperx[382].start 11292.244
transcript.whisperx[382].end 11292.704
transcript.whisperx[382].text 對於年金改革的視線裡頭你有做鑑定的意見嗎?
transcript.whisperx[383].start 11318.869
transcript.whisperx[383].end 11343.115
transcript.whisperx[383].text 就是說這個年金改革的改變無涉於是否違反法律不溯及既往的原則也沒有侵害到受規範對象之財產權這些意見您看您有講過這些嗎還有未違反法律不溯及既往原則難認定違反憲法第15條生存權的保障沒有違反沒有侵害受規範者的財產權也沒有這個都是您說過的話這個應該是
transcript.whisperx[384].start 11347.22
transcript.whisperx[384].end 11375.199
transcript.whisperx[384].text 您確定嗎?我沒有說錯,您說過這話您的第三頁,意見書第三頁有提到公共年金制度本質上必須含納動態調整的可能性對退伏基金、財務收支平衡的基本目標要怎麼達成?您說的是本應容許政府與立法者定期共同檢討的空間以便能夠是實際需要進行調整的以確保公共年金制度的
transcript.whisperx[385].start 11375.998
transcript.whisperx[385].end 11376.478
transcript.whisperx[385].text 我曾經研究過的事情
transcript.whisperx[386].start 11394.07
transcript.whisperx[386].end 11395.331
transcript.whisperx[386].text 政府與立法者定期共同檢討
transcript.whisperx[387].start 11414.028
transcript.whisperx[387].end 11434.84
transcript.whisperx[387].text 我認為這個事情當然如果有具體個案進來的話我就不便表示意見那如果這個是一個潛在的釋憲案的話我在這裡也不方便講太多不一定是一個釋憲啦民進黨不一定會提出釋憲啦如果就您以前因為您現在不是大法官的人選只是被提名根據您的這個
transcript.whisperx[388].start 11436.1
transcript.whisperx[388].end 11452.527
transcript.whisperx[388].text 過往的這個信念價值我看您也一向信念價值是怎樣就怎樣也不會說勢至無為會迴避問題不像前面那兩位會迴避問題但是您本來做的就是本應容許政府與立法者共同定期檢討空間那過了好幾年嘛我還是抱持同樣的態度所以也是認為這應該是政府與立法者應該可以有
transcript.whisperx[389].start 11459.87
transcript.whisperx[389].end 11461.83
transcript.whisperx[389].text 政府、立法部門、行政部門必須要共同維護大家的最低生存權
transcript.whisperx[390].start 11484.455
transcript.whisperx[390].end 11508.242
transcript.whisperx[390].text 有時候因為這個憲法的這個規定那影響到人民實際的權利的時候這時候這個當然你就要有您的這個看法了我舉一個金門的例子來給你聽您知道我是來自金門縣嘛福建省金門 中華民國福建省金門知道吧我們這個因為這個國家的業地誤會問題造成人民權益受損工作財產都受到損害你應該不能保持緘默啦然後給人家看一下這個圖齁您看一下這個
transcript.whisperx[391].start 11510.812
transcript.whisperx[391].end 11532.382
transcript.whisperx[391].text 現實案例齁這個你知道中華民國憲法有規定中華民國的這個固有疆域這個沒問題嘛齁這個憲法裡頭有明文規定嘛齁您看看這個圖上面有藍色的跟紅色的齁這個就是禁憲制水域這個是我們這個之前這個國防部畫出的金門的這個禁憲制水域齁那金門民眾因為齁
transcript.whisperx[392].start 11534.977
transcript.whisperx[392].end 11535.317
transcript.whisperx[392].text 中華民國憲法規定
transcript.whisperx[393].start 11556.61
transcript.whisperx[393].end 11575.965
transcript.whisperx[393].text 如果大陸的船要進來對我們做什麼事情我們還可以說基於安全保障我們對大陸的進行這個我這個是可以接受的但是對金門我們中華民國的國民因為船開出了我們自己畫的淨限制水域而因此被地檢署起訴在金門數百案件你怎麼看
transcript.whisperx[394].start 11578.005
transcript.whisperx[394].end 11603.86
transcript.whisperx[394].text 好那個謝謝委員告訴我這個案例因為我對於離島的相關的事務我現在考慮是憲法問題吧因為中華民國過了將來在我們的中華民國憲法是有講的我現在要回答委員就是說我們我想委員也知道我們的憲法憲法增修條文跟兩岸條例基本上是一個非常特殊的一個架構他事實上就是以這個
transcript.whisperx[395].start 11606.162
transcript.whisperx[395].end 11621.576
transcript.whisperx[395].text 主權跟治權的這樣子的一個合一還是分立的狀況弄起來所以我們限制不讓大陸的漁船進來這個是合理的,我也接受啊在你那個前提下中華民國自己的國民
transcript.whisperx[396].start 11624.238
transcript.whisperx[396].end 11652.2
transcript.whisperx[396].text 不能行使在中華民國自己這些還是我們認知的隨遇我想在這個部分基本上就是必須要去考量說在這樣子的一個架構底下對於本國人民的基本權利的限制受到保障啊受到侵犯啊受到限制啊有過度的限制受到的限制啊反一開出去就是受到地檢署的起訴啊自己要在自己的海域裏頭捕魚就是不能捕魚啊所以這個東西是不是應該有檢討的必要
transcript.whisperx[397].start 11652.58
transcript.whisperx[397].end 11671.684
transcript.whisperx[397].text 所以我想這個部分的問題的確可以有檢討的必要下一題也是根據中華民國憲法中華民國憲法第148條中華民國領域內一切貨物應許自由流通這個您知道吧自由流通的意思就是說我舉個例子你從這個我問過蘇貞昌院長來你從這個
transcript.whisperx[398].start 11676.496
transcript.whisperx[398].end 11697.751
transcript.whisperx[398].text 您是哪裡人?宜蘭人?我是宜蘭人。我們也有很多走私的問題。我現在不是要問走私,我問中華民國境內,台澎金馬,我就問台澎金馬境內,兩岸聯盟關係的自由地區裡頭,你如果從高雄帶宜蘭雞蛋上來,請問你是不是應該要經過檢查?從宜蘭就好了,從宜蘭帶到台北,是不是應該要經過檢查?
transcript.whisperx[399].start 11699.711
transcript.whisperx[399].end 11715.58
transcript.whisperx[399].text 經過什麼檢查?檢查看你這個雞蛋安不安全?檢查這個雞蛋有沒有病啊?檢查這個雞蛋帶了幾顆啊?食物上應該是沒有沒有嘛 對不對?你知道嗎?我給你看一下金門人的金門如果帶雞蛋到台灣島來要坐飛機嘛我們是要經過檢查的這個符合中華民國憲法嗎?那來我跟你說齁
transcript.whisperx[400].start 11722.506
transcript.whisperx[400].end 11747.796
transcript.whisperx[400].text 不只一樣 帶牛肉、帶豬肉、帶雞蛋好 我跟您說 如果牛肉你說 可能有一些什麼病菌啊 什麼或什麼或豬的什麼口蹄啊 什麼豬瘟啊 這一點我說為了必要的這個一些防止其他的法醫的被侵害喔 這個我倒是還說 這個勉強我們來配合政府說怎麼來做 對不對 這樣子算才是可以接受啦但是 您知道嗎 在我質詢的那個時候 在兩年前
transcript.whisperx[401].start 11752.182
transcript.whisperx[401].end 11759.861
transcript.whisperx[401].text 平東地區有禽流感金門地區沒有禽流感金門沒有禽流感沒有任何的
transcript.whisperx[402].start 11766.744
transcript.whisperx[402].end 11782.272
transcript.whisperx[402].text 請問在這個情況下從屏東到臺北帶雞蛋來是不用檢查是沒有限制從金門到在金門到臺灣來是被限制的是要被檢查的當然在有爭取後現在說放寬一點可以帶20顆啦但是我想請教這個沒有違反憲法嗎
transcript.whisperx[403].start 11785.173
transcript.whisperx[403].end 11785.493
transcript.whisperx[403].text 法定人數不足
transcript.whisperx[404].start 11799.701
transcript.whisperx[404].end 11800.922
transcript.whisperx[404].text 主管機關要做這樣的規範的時候就必須要負責舉證
transcript.whisperx[405].start 11827.335
transcript.whisperx[405].end 11851.267
transcript.whisperx[405].text 就是呢為什麼金門必須要受到不一樣的限制這樣算不算一個國家內實行兩種制度啊請問你這樣算不算一個國家內實行兩種制度啊我不同意你不同意他實施這個制度還是你不同意這是一國兩制啊我不同意在同一個國家裡面沒有特殊的公共利益的要求的時候呢去做這樣子的區分的限制
transcript.whisperx[406].start 11851.907
transcript.whisperx[406].end 11874.432
transcript.whisperx[406].text 所以現在的制度 我跟你講這都是事實現在的制度就是在一個國家內實施兩種制度你從宜蘭帶過來台北不用檢查我從金門帶過來就是要檢查就是要檢查而且金門沒有禽流感屏東那時候那時候還有禽流感他們還不用檢查你覺得如果你是身為離島的居民身為金門居民你不會覺得備受歧視嗎
transcript.whisperx[407].start 11875.652
transcript.whisperx[407].end 11876.013
transcript.whisperx[407].text 中華民國憲法增修條文第10條第12項
transcript.whisperx[408].start 11897.735
transcript.whisperx[408].end 11923.702
transcript.whisperx[408].text 國家應依民族意願保障原住民族之地位及政治參與.並對其教育文化、交通、水利、衛生、醫療.經濟、土地及社會福利事項予以保障.並輔助並促其發展.其辦法令與法律定制.對澎湖、金門、馬祖地區民眾一同.這個是在憲法裡頭明文規定的.所以我們知道現在對原住民有什麼.原住民有原住民基本法您知道嗎我知道
transcript.whisperx[409].start 11924.69
transcript.whisperx[409].end 11934.882
transcript.whisperx[409].text 那請問呢:在這個情況下:憲法竟然有這樣明文規定:如果金馬鵬民眾要訂個金馬鵬人民基本法:您是否也覺得是可行的呢:
transcript.whisperx[410].start 11936.546
transcript.whisperx[410].end 11961.724
transcript.whisperx[410].text 就是離島基本法或是金馬鵬人民基本法都可以如果要對離島的人民做特殊的保障我想我們憲法裡面其實並不是沒有依據的就是剛剛委員所提到的那些那我覺得不管是過去我想委員也知道過去曾經有離島條例的這些倡議的立法朝野都有很大的爭執
transcript.whisperx[411].start 11965.207
transcript.whisperx[411].end 11985.623
transcript.whisperx[411].text 這裡其實會涉及到的問題其實是一個所謂的資源分配的問題我個人向來認為我是宜蘭人宜蘭有很多偏鄉我認為我們在偏鄉的保護上面或者是離島的保護上面的確是有在討論的空間所以我坦白講
transcript.whisperx[412].start 11986.824
transcript.whisperx[412].end 12013.94
transcript.whisperx[412].text 我不反對呢在金馬鵬人民的這個部分呢做一些呢比較架構性的基本權益的保障就像設立一個基本法嘛就是比如說原住民原住民有的這個原住民基本法客家居民有什麼客家基本法那這個金馬鵬人民就是離島也是一個理論上這也應該我要問的是因為你是大法官的提名這樣有違反憲法嗎
transcript.whisperx[413].start 12015.019
transcript.whisperx[413].end 12020.098
transcript.whisperx[413].text 我其實不認為定基本法會有違反憲法的問題那這樣會有什麼問題嗎?
transcript.whisperx[414].start 12023.023
transcript.whisperx[414].end 12046.784
transcript.whisperx[414].text 你支持這樣嗎?如果說有這樣的立法我覺得這裡可能如果我當立法委員的話我大致上是可以支持的也是支持這樣的立法嗎?那這裡會有的問題是說基本法只是一個架構性的立法它必須要有其他的作用法我想委員員是學法律的應該知道必須要有其他的作用法來分配資源那作用法是不是合憲就必須要用個案來檢驗
transcript.whisperx[415].start 12047.605
transcript.whisperx[415].end 12072.436
transcript.whisperx[415].text 那個後續當然我們這個相關法律我們在立法院裡頭會做充分的這個討論不過我是對今天一些部分的答案還算是滿意的第一個就是對於年金的這個部分這個當然可以定期的來做檢討就是政府跟立法之間可以定一下看是不是對人民的一些基本生存權有受到侵犯那第二點對於這個金門這個農業尤其是農業部違反的中華民國憲法148條中華民國境內會不會應該獲唱其流
transcript.whisperx[416].start 12076.798
transcript.whisperx[416].end 12077.599
transcript.whisperx[416].text 謝謝陳委員的詢問,也謝謝被提名的
transcript.whisperx[417].start 12105.592
transcript.whisperx[417].end 12110.683
transcript.whisperx[417].text 報告全院委員會上午會議進行到此為止下午2點30分繼續開會進行委員詢問現在休息
transcript.whisperx[418].start 21593.356
transcript.whisperx[418].end 21594.216
transcript.whisperx[418].text 主席院長麻煩請背題名人
transcript.whisperx[419].start 21623.946
transcript.whisperx[419].end 21652.636
transcript.whisperx[419].text 麻煩請備提名人你好有幾個機會跟你聊聊憲法上面的問題跟看法最近韓國就有發生了一個政治上面的戒嚴的事件這個我想你應該清楚了那以各國的憲法來講主要
transcript.whisperx[420].start 21653.858
transcript.whisperx[420].end 21671.546
transcript.whisperx[420].text 兩大類型一般是常見的內閣制國家跟還有總統制國家那當然也有一些是在介在兩個之間的那主要如果以總統制國家因為韓國是總統制國家他的這個發生了憲政上面的爭議當然
transcript.whisperx[421].start 21676.018
transcript.whisperx[421].end 21704.388
transcript.whisperx[421].text 他們是發生這樣子如果以韓國而言我知道就是說如果總統提的法案然後這個或是他們國會提的法案然後通過在國會通過可是總統認為他有意見他可以退回然後在回到國會裡面三分之二以上多數堅持的時候他才能夠這個國會才能夠遂行他的意志那如果在內閣制國家
transcript.whisperx[422].start 21706.663
transcript.whisperx[422].end 21733.639
transcript.whisperx[422].text 發生憲政上的僵持堅持這個僵局的時候政治上的僵局最常見到的方法就是用解散國會重新改選把這個將裁判者交回到全體選民的手中那以這兩個狀況來類比來看我們臺灣中華民國是所謂的五權憲法我感受不到我們的憲政僵局
transcript.whisperx[423].start 21734.735
transcript.whisperx[423].end 21739.478
transcript.whisperx[423].text 謝謝委員我們的國家基本上到底是內閣制還是總統制還是雙首長制呢我想這是一個不管在學歷上或實際上大家都討論很多的問題
transcript.whisperx[424].start 21759.77
transcript.whisperx[424].end 21764.256
transcript.whisperx[424].text 我們在學界很多人會認為說他是一個比較偏向於總統優勢的雙手掌制
transcript.whisperx[425].start 21767.413
transcript.whisperx[425].end 21790.69
transcript.whisperx[425].text 但是因為實際執行政務跟協商的是行政院院長那修憲之後總統任命行政院院長也不必經過立法院的同意總統就可以自己決定要任免行政院院長那行政院院長本身也沒有法案或者是命令的附屬權但是他施政成績是必須要向總統負責的
transcript.whisperx[426].start 21794.152
transcript.whisperx[426].end 21814.779
transcript.whisperx[426].text 這樣子的角色看起來其實坦白講的確比較像是總統的幕僚長他比較沒有獨立行使權力的空間那在現行的這個制度底下如果呢總統的政黨是國會少數的時候呢
transcript.whisperx[427].start 21816.109
transcript.whisperx[427].end 21845.385
transcript.whisperx[427].text 其實憲法也沒有要求要任命國會多數去做行政首長的這樣的義務當然有一些國家會說我們可以來做混合組閣或者是任命多數黨的內閣或者是堅持少數黨的內閣的不同選擇等等這些做法但是顯然我們的實際上面的這個做法其實都沒有發生過這樣的這個例子
transcript.whisperx[428].start 21846.482
transcript.whisperx[428].end 21862.594
transcript.whisperx[428].text 那所以如果發生憲政僵局的話坦白講呢我不是很確定委員所指稱的憲政僵局大概是包括哪些憲政僵局那我就就是先嘗試統合的說這樣子我覺得
transcript.whisperx[429].start 21866.792
transcript.whisperx[429].end 21891.002
transcript.whisperx[429].text 如果有憲政僵局產生的時候其實因為這個僵局很可能是政治部門之間的爭執行政部門跟立法部門之間的爭執沒有 不一定現在將來有可能延伸到立法部門跟司法憲政機構、憲法法庭的爭執如果它是政治部門之間的爭執的話那麼
transcript.whisperx[430].start 21893.283
transcript.whisperx[430].end 21914.613
transcript.whisperx[430].text 我會比較傾向於政治部門必須要想辦法協商解決如果不行的話那依照我們大法官的解釋意旨基本上呢可能就必須要由司法權去介入去處理呢到底是中間我們的所謂的權力分立制衡的原則有沒有違反
transcript.whisperx[431].start 21915.666
transcript.whisperx[431].end 21940.092
transcript.whisperx[431].text 各個權力部門的核心領域有沒有被侵犯到這是我目前的想法其實無論它是什麼字總統是那個字混合字什麼偏向總統偏向那個都不要緊重點是憲政將局要有解決的機制那如果沒有解決的機制可不可以視為說這個憲法制度上面的一個大的漏洞
transcript.whisperx[432].start 21941.36
transcript.whisperx[432].end 21969.013
transcript.whisperx[432].text 因為無法解決將在那邊其實時間一直在過整個國家一直在空轉如果有憲政僵局的時候那就再往下問現在也有提出所謂的憲法這個對於憲法法庭的這個訴訟的這個修正的法案那細節就不談
transcript.whisperx[433].start 21970.424
transcript.whisperx[433].end 21997.399
transcript.whisperx[433].text 如果他堅持一定要怎麼樣多數的人原額才能夠開成這個憲法法庭那要多少比例以上才能夠做成決議假設原額不足的時候就事實上實質的原額不足的時候事實上就是架空了整個憲法法庭那憲法法庭該如何運作呢聽聽看你的講法
transcript.whisperx[434].start 22000.263
transcript.whisperx[434].end 22015.835
transcript.whisperx[434].text 當然這個是目前大院審議當中的憲法訴訟法修論草案我只能夠基於一個學者的立場針對學理上面可能想像到的問題跟大院做回答
transcript.whisperx[435].start 22018.403
transcript.whisperx[435].end 22028.282
transcript.whisperx[435].text 從比較法的觀點來看每一個國家到底憲法法庭怎麼樣才可以開會怎麼樣才可以做決議其實規定都不一樣規定都不一樣
transcript.whisperx[436].start 22030.871
transcript.whisperx[436].end 22059.258
transcript.whisperx[436].text 我們呢大法官是15個人美國大法官是9個人但是呢我們基本上只有任期8年美國任期是終身制所以比較起來其實美國是比較不容易出現有多位大法官缺額的這樣的一個狀況那像我們目前的體制以及現在運作的現況看起來呢的確是有可能會有多位的這個大法官這個缺額的這樣的狀況出現
transcript.whisperx[437].start 22061.328
transcript.whisperx[437].end 22071.011
transcript.whisperx[437].text 那這樣子的情況出現的時候呢坦白講當然憲法訴訟法的修法是立法院的職權司法權當然會尊重可是這裡會有一個問題就是說
transcript.whisperx[438].start 22077.993
transcript.whisperx[438].end 22104.618
transcript.whisperx[438].text 如果修法的結果在實際上導致憲法法庭真的沒有辦法運作的話那其實這裡會有一個很麻煩的問題就是委員所說到的憲政爭議權力分立制衡的這個部分的問題沒有辦法解決那我更關心的是對於人民基本權力的保障的這些案件沒有辦法處理
transcript.whisperx[439].start 22106.231
transcript.whisperx[439].end 22117.643
transcript.whisperx[439].text 我關心全部我不是只有關心人民的權益當然非常重要但是憲政如何讓他可以順順的運轉這也是一個很重要的課題所以我會認為就是說
transcript.whisperx[440].start 22121.826
transcript.whisperx[440].end 22143.296
transcript.whisperx[440].text 即使要修法都必須要有清楚的配套措施寫進去OK重點就是不能夠讓司法權這樣子的一個國家的仲裁者處於無法運作的狀態或者是憲法保護者人民基本權利的保護者處於沒有辦法運作的狀態
transcript.whisperx[441].start 22144.757
transcript.whisperx[441].end 22167.887
transcript.whisperx[441].text 我認為這樣的事情就必須要立法院、朝野政黨發揮高度的智慧基本上必須要將你想要立法可能產生的問題基本上做一個通盤的考量必須要做一個立法事實的檢視必須要想想看以後會發生什麼樣的事情
transcript.whisperx[442].start 22169.336
transcript.whisperx[442].end 22192.51
transcript.whisperx[442].text 在修法的過程當中當然現在也在審查大法官我們的憲法法院也說了基本上對於每一個憲法機關的人事權的審查跟同意其實是有憲法忠誠義務的我會覺得在這種情況底下就是必須要行政權跟立法權都好好的
transcript.whisperx[443].start 22194.113
transcript.whisperx[443].end 22200.107
transcript.whisperx[443].text 理性的、謹慎的把適當的大法官的審查結果做出來
transcript.whisperx[444].start 22202.234
transcript.whisperx[444].end 22222.22
transcript.whisperx[444].text 你這是理想狀況我現在講的就是說如果不照你講的這個理想狀況去做事實上就產生了所謂的憲政僵局啊這就是我要跟你請教的這就是我要說的就是說如果因為我們本院就立法院就有人認為我比你大啊立法權比你們所有的權都大啊所以我如果不照你講的這個邏輯來你講這個是一個正常的邏輯嘛
transcript.whisperx[445].start 22226.101
transcript.whisperx[445].end 22229.403
transcript.whisperx[445].text 報告委員,在我的看法裡面,憲法機關之間沒有誰比誰大的問題,基本上是權力分立制衡的問題。
transcript.whisperx[446].start 22247.933
transcript.whisperx[446].end 22262.486
transcript.whisperx[446].text 那 again 就是如果呢 任何的憲法機關在行使權利的時候侵害到其他憲法機關的核心領域的時候 這個都必須是由司法權來解決的
transcript.whisperx[447].start 22264.268
transcript.whisperx[447].end 22265.589
transcript.whisperx[447].text 司法的自主性的這個部分必須要維持
transcript.whisperx[448].start 22290.911
transcript.whisperx[448].end 22314.145
transcript.whisperx[448].text 那當然就是說藉時如果有這樣的一個釋憲案出來的話基本上我不知道現在既有的大法官會怎麼樣去處理這件事情我不便預測以我現﹖你是被提名人現在假設你是大法官你認為應該如何處理這個僵局這是我今天對你提出的問題你就盡可能的回答我
transcript.whisperx[449].start 22314.525
transcript.whisperx[449].end 22341.675
transcript.whisperx[449].text 可能必須要基於所謂的司法自主權的基本的原則去盡量想辦法讓憲法法庭可以開庭跟做成決議就是說可以不要遵守立法院立的法你規定我10個人才能開成庭我也可以不要遵守還是我就直接把你修這個法我主動宣告你違憲我想基本上宣告違憲這件事情是必須要有人申請
transcript.whisperx[450].start 22343.943
transcript.whisperx[450].end 22366.482
transcript.whisperx[450].text 那假設沒有人要申請那是不是就僵在那邊啊?我想應該不至於沒有人會申請因為在我們事業的程序裡面基本上可以申請的人非常多那所以我的回答大概就是這個樣子那我就繼續往下問其實這是對整個國家來講是不幸的事情如果發生這樣的僵局
transcript.whisperx[451].start 22367.162
transcript.whisperx[451].end 22391.984
transcript.whisperx[451].text 因為現在立法院有一些人的心態他很可怕啊就是因為我立了法律你要給我解釋違憲或是有被解釋違憲的嫌疑所以我就根本就不讓你解釋啊讓你連開庭審理的機會都沒有你就沒有資格來判我違憲不過這是立法院的角度但是司法院其實是整個憲法的守護者整個制度的守護者
transcript.whisperx[452].start 22393.888
transcript.whisperx[452].end 22421.199
transcript.whisperx[452].text 立法委員、立法院有可能做出違憲的審議的法律這是立法院齁其他院也有可能會違憲欸行政院也有可能會違憲啊考試院也有可能會違憲啊監察院也有可能會違憲啊其實當這個違憲的時候本來決定是不是違憲決定的機關就是在憲法法庭嘛好我問你啊我就問你一個問題啊
transcript.whisperx[453].start 22422.369
transcript.whisperx[453].end 22447.826
transcript.whisperx[453].text 假設真的被架空了立法委員很高興以後我們如何審法案我高興怎麼定就怎麼定反正已經沒有憲法法庭了也沒有辦法宣告我違憲跟你講這時候高興行政機關可能也很高興沒關係你都搞反正我都沒有人可以解釋我違憲我行政機關要怎麼解讀法律我就怎麼解讀法律我要高興要怎麼做就怎麼做啊於是中華民國的憲政秩序就崩潰了
transcript.whisperx[454].start 22448.902
transcript.whisperx[454].end 22462.529
transcript.whisperx[454].text 所以現在搞的人都以為自己很高明啊我站在我自己的立場反正我立法機關你怎麼樣你不能夠搞我不能夠宣告我違憲就夠了他都忘了別的機關別的憲政機關也有可能違憲當別的憲政機關違憲的時候他要怎麼辦
transcript.whisperx[455].start 22466.275
transcript.whisperx[455].end 22492.678
transcript.whisperx[455].text 這個我想就是我剛剛說的大家在想要修憲法訴訟法的時候其實要有更加周延的考慮就是說的確會違憲的機關非常的多尤其主導行政權的行政院他其實所行使的權利其實有很多很多的狀況底下是會侵害到人民的權利的
transcript.whisperx[456].start 22493.098
transcript.whisperx[456].end 22521.155
transcript.whisperx[456].text 本來憲法裡面人民基本權利的保護他最主要要保護的對象就是要對抗行政權是沒有錯本來在原來的憲法的結構上就是這樣但是現在有人想要把這件大怪物放出來喔放出來因為要把憲法法庭廢掉喔憲法法庭如果實質真的被架空之後那當發生這些事情的時候我找不到一個機關在目前中華民國憲法找不到一個機關可以去宣告說你這個行為違憲喔
transcript.whisperx[457].start 22522.56
transcript.whisperx[457].end 22542.177
transcript.whisperx[457].text 是所以我想就是說這個在立法的時候是要非常非常的謹慎的事實上是不應該這樣子處理的那這個司法權如果遇到這麼極端的情況的話我想司法權必須要呢基於他的這個自主權的這個部分
transcript.whisperx[458].start 22543.399
transcript.whisperx[458].end 22566.994
transcript.whisperx[458].text 想辦法來解決這樣的問題不應該放任人民的基本權利跟國家的自由民主的憲政秩序變成這樣的結果當然我們還是希望我還是希望就是說在修法的時候能夠更加的謹慎如果真的有憲政爭議的時候就想辦法用釋憲的方式來解決
transcript.whisperx[459].start 22572.118
transcript.whisperx[459].end 22589.293
transcript.whisperx[459].text 以我們學法律的人當然可以接受你這樣講法的機會比較大但是你想想看有的人不相信的原因在哪裡呢無論行政權或是立法權就台灣
transcript.whisperx[460].start 22590.691
transcript.whisperx[460].end 22613.367
transcript.whisperx[460].text 他都是人民賦予選舉產生嘛今年1月13號其實有兩個選舉加在一起一個是總統行政權的選舉一個是立法院立法委員的選舉他把兩個選舉放在同一天所以他其實同時選舉了行政權跟國會立法院的權利但是現在選完的時候兩邊當選的黨不一樣
transcript.whisperx[461].start 22617.415
transcript.whisperx[461].end 22642.388
transcript.whisperx[461].text 他利用自己的職權拼命擴張想要去變更這個選舉的結果人事選其實核心的議題就是兩個行政局的核心議題就是兩個一個就是人事一個就是預算就是人跟錢他利用法律修訂一直擴張然後你的人事要經過他的干涉你才能夠用甚至什麼樣的人不能用他都有意見
transcript.whisperx[462].start 22645.032
transcript.whisperx[462].end 22668.767
transcript.whisperx[462].text 金費現在雖然憲法命令規定不得為增加預算是提案他利用法律的法律案來給你規定他的錢要怎麼用這個角度上面都是在對行政權的侵犯你覺得如果從概略總體上面來講這樣的講法你同不同意我想人事權跟預算權基本上都是
transcript.whisperx[463].start 22670.026
transcript.whisperx[463].end 22672.727
transcript.whisperx[463].text 可以審議但是他審議如果是不合常理的你的人我不中意我就都不給你用
transcript.whisperx[464].start 22698.053
transcript.whisperx[464].end 22712.665
transcript.whisperx[464].text 所以我覺得基本上國會政治部門行政跟立法之間基本上必須要想清楚就是說基本上我們應該都是用善意的方式來審查人事權為國家舉裁
transcript.whisperx[465].start 22715.547
transcript.whisperx[465].end 22742.101
transcript.whisperx[465].text 有好的行政官員其實才能盡責的把國家該做的事情做好那同樣的道理立法權當然是有立法的權利那他在做一些立法的時候自然會需要有一些相應的資源的分配比如說我今天如果規定說基本上應該怎麼樣輔助弱小
transcript.whisperx[466].start 22743.662
transcript.whisperx[466].end 22769.139
transcript.whisperx[466].text 或者是說各個公共場所或者是診所應該要有讓身心障礙者能夠方便使用的措施我講的預算的那個侵犯不是這樣我舉一個例子我多數黨嘛你執政的是少數黨嘛你的國家的總體預算我就全部幫你拿來我分配給地方分配給我比較多的地方啊那你中央政府就沒有錢啊
transcript.whisperx[467].start 22770.629
transcript.whisperx[467].end 22796.081
transcript.whisperx[467].text 那你總統如果沒有錢你就做不出成績阿用政治的角度去做這樣子的政治的攻防沒有考慮到憲法的分際對這樣的問題要如何解決我想這個部分的問題呢基本上從憲法的憲政的角度來看呢基本上就是必須要看中央與地方分權的這個市權跟經費的資源的分配的問題他不跟你討論市權阿他現在就是光討論經費阿
transcript.whisperx[468].start 22797.722
transcript.whisperx[468].end 22823.896
transcript.whisperx[468].text 所以我想這樣子的討論就是有失偏頗應該呢相應的這就是因為有人認為他比你大所以他不在乎他的偏頗嘛你們這些我們學者論道尊尊教誨侃侃而談沒有放在眼裡啦就是我只比你大我這個叫做流氓邏輯啊當我人少的時候我跟你講道理當我人多的時候我就跟你表決你在講什麼我們沒有需要跟你討論啊
transcript.whisperx[469].start 22825.598
transcript.whisperx[469].end 22827.319
transcript.whisperx[469].text 接下來我們請登記第5位翁曉琳委員詢問
transcript.whisperx[470].start 22861.515
transcript.whisperx[470].end 22861.896
transcript.whisperx[470].text 麻煩請劉教授備詢。
transcript.whisperx[471].start 22873.722
transcript.whisperx[471].end 22891.552
transcript.whisperx[471].text 劉教授您好在這邊也很恭喜您被賴清德總統提名為大法官候選人那麼這次本席也拜讀了您所提出來的相關的書面資料也看到您很認真的在回覆各個黨團還有您自己所
transcript.whisperx[472].start 22892.463
transcript.whisperx[472].end 22893.104
transcript.whisperx[472].text 多元性、多元化
transcript.whisperx[473].start 22908.344
transcript.whisperx[473].end 22928.017
transcript.whisperx[473].text 的這個關鍵詞那麼您也認為說多元化的憲法法庭是可以提升司法的透明度信賴度多元化的視角是可以有助於減少偏見增進大法官的理性對話那多元性也可以讓憲法法庭成為一個能夠確保司法裁判真正能夠反映憲法精神的一個關鍵點
transcript.whisperx[474].start 22929.418
transcript.whisperx[474].end 22943.354
transcript.whisperx[474].text 所以您最後其實對多元化下了一個結論就是大法官的多元化不僅是為了維護司法獨立更是為了確保每一個憲法判決都是以公正與平等的為基礎
transcript.whisperx[475].start 22944.495
transcript.whisperx[475].end 22963.609
transcript.whisperx[475].text 在此本席非常同意您的看法所以在這裡想進一步的請教您如何實踐大法官組成的多元化我想這個多元化基本上一定也涵蓋大法官組成的多元化是不是可以請您簡單的說明您認為怎麼樣達到大法官組成的多元化
transcript.whisperx[476].start 22964.949
transcript.whisperx[476].end 22990.488
transcript.whisperx[476].text 我想我們可以分幾個層次來講麻煩請你剪短一分鐘之內謝謝第一個層次就是基本上我們的有關於大法官資格的這個部分其實有做了一些明確的規定那第二個就是這個總統在提名的時候基本上要想辦法去把這個憲法法院的多元化的這個可能性盡量的擴張
transcript.whisperx[477].start 22992.149
transcript.whisperx[477].end 23018.212
transcript.whisperx[477].text 所以提名人本身其實是有這樣子的義務即使不是憲法義務也是道德上面的義務應該做的那第三個當然就是貴院的審查那我想貴院是最有直接民意的跟總統是一樣是一個兩員對立的直接民意所以貴院的審查過程其實就是基於民意來針對大法官的多元性
transcript.whisperx[478].start 23019.173
transcript.whisperx[478].end 23020.075
transcript.whisperx[478].text 大法官候選人夠多元嗎?
transcript.whisperx[479].start 23029.797
transcript.whisperx[479].end 23058.659
transcript.whisperx[479].text 那就要看從哪個角度來看我想從性別、從專業的角度來看呢我想總統是想盡辦法在促成這個多元的可能性好的我接下來帶大家來解釋一下這次賴清德所提出來的大法官候選人是不是夠多元化除了剛剛講的專業性別之外呢我更是從服務的單位他學歷哪個學校畢業的政治立場
transcript.whisperx[480].start 23059.58
transcript.whisperx[480].end 23071.191
transcript.whisperx[480].text 因為政治立場還有他的這個法律觀點我來進行一些分析其實呢可以從這次大法官提名人大法官提名人的背景裡面就可以知道光是台大畢業的就9位
transcript.whisperx[481].start 23072.912
transcript.whisperx[481].end 23088.733
transcript.whisperx[481].text 然後服務於臺大法學院的教授就5位這個還只是就學界其實在大法官的組成裡面實務界的大法官大概就扣掉5位了還有一些來自於律師光是學界的大法官是臺大教授就5位然後贊成廢死的
transcript.whisperx[482].start 23089.474
transcript.whisperx[482].end 23104.531
transcript.whisperx[482].text 包含十字廢死的15個人就是我們現在把現任的大法官跟被提名的大法官合併起來看就有15位反對國會改革也就是支持這一次的國會改革釋憲案的這個
transcript.whisperx[483].start 23106.913
transcript.whisperx[483].end 23116.036
transcript.whisperx[483].text 大法官和被提名人大概也就有15位更不用說整個的政治立場觀點基本上就是親民進黨總統的政黨所以從這個角度來看這樣的組成結構是夠多元嗎
transcript.whisperx[484].start 23122.838
transcript.whisperx[484].end 23150.756
transcript.whisperx[484].text 我想這就要看你用什麼樣的區分標準來看多元這件事情在我看起來哪一個學校畢業恐怕沒有辦法作為一個真正正確的標準我相信有很多台大畢業的人想法跟我是不一樣的比如說反對國會改革這個部分我想我好像從來都沒有發表過反對國會改革的公共意見
transcript.whisperx[485].start 23151.676
transcript.whisperx[485].end 23163.942
transcript.whisperx[485].text 可是在您這次寫的相關的書面資料裡面來看﹖看起來您是大部分支持這次的憲判自9號的判決﹖
transcript.whisperx[486].start 23168.545
transcript.whisperx[486].end 23191.184
transcript.whisperx[486].text 我想我跟委員說明一下我向來的學術立場都認為國會的民主課則的監督的能力應該加強那這個就是可能委員所說的國會改革那我要講的是說因為我的時間有限所以簡單來說您支持我們立法院也可以有制定藐視國會處罰的權責
transcript.whisperx[487].start 23196.89
transcript.whisperx[487].end 23200.886
transcript.whisperx[487].text 我想這個部分其實在比較法上面有非常多的例子
transcript.whisperx[488].start 23202.15
transcript.whisperx[488].end 23229.198
transcript.whisperx[488].text 您只要說您是認為說有權力還是沒有權限我們大法官在這一次的釋憲裡面呢憲判9裡面呢針對這個部分其實可以講得更清楚相當程度來說我認為在國會調查權的這個部分聽證的這個部分都可以再加強那不同意建書裡面你同意有處罰嗎我同意在某一些條件底下
transcript.whisperx[489].start 23229.938
transcript.whisperx[489].end 23241.482
transcript.whisperx[489].text 在合乎法律保留原則、比例原則的這些情況底下可以有一定的程序我們這次是透過立法院職權行使法去訂定的大法官竟然都還可以,包含您還認為說我們是不符合法律保留原則嗎?我不認為有這樣的問題啊所以我剛剛請委員讓我講完
transcript.whisperx[490].start 23249.125
transcript.whisperx[490].end 23277.011
transcript.whisperx[490].text 所以或許可以參考不同意見書裡面比如說詹森林大法官所以你是支持詹森林大法官的意見是,蔡海珍大法官、袁彰琼文大法官都可以看他的想法有關於這個組成的部分那我想因為談到就是你可能比較強調是專業的組成專業的多元化那我接下來想請教就是大法官的多元化包括不包括審議人數的多元化
transcript.whisperx[491].start 23278.075
transcript.whisperx[491].end 23296.832
transcript.whisperx[491].text 要多數化大法官人數的多數化我們這樣講好了以現在我們現在有的規定7位大法官卸任只留下8位大法官那麼如果說依照現在的規定極有可能出現的情況萬一有6個人迴避只剩下兩位大法官你認為他們適合開會同時做成評議嗎
transcript.whisperx[492].start 23303.502
transcript.whisperx[492].end 23307.952
transcript.whisperx[492].text 報告委員我想委員所舉的這個例子是一個非常極端的例子
transcript.whisperx[493].start 23308.929
transcript.whisperx[493].end 23335.018
transcript.whisperx[493].text 法律就在防弊我現在講就是說有沒有這種可能性當然在理論上極端的狀況所以你認為說這樣適合嗎極端的狀況的確有可能出現這樣的狀況我個人認為呢這樣子的方式這樣的情況底下做成決議的確有可能有欠缺民主正當性好的OK那我們剛剛講的是當然非常極端我們講一個正常的狀況現在有8位大法官
transcript.whisperx[494].start 23335.478
transcript.whisperx[494].end 23353.655
transcript.whisperx[494].text 假設有兩個人今天請假可能身體不舒服生病請假那只剩下6位大法官那做成一個判決5個人這應該是很可能會發生而且事實上就是符合現在的這個狀況你認為5個人大法官就做成評議你可以接受嗎
transcript.whisperx[495].start 23355.437
transcript.whisperx[495].end 23365.046
transcript.whisperx[495].text 我想在這種情況底下也許還是有民主正當性的問題但是實際上我覺得以現在大法官組成的狀況來講
transcript.whisperx[496].start 23368.976
transcript.whisperx[496].end 23393.605
transcript.whisperx[496].text 大概不太有人會在這種狀況底下還請假您都在說假設但是呢這個生病難免出國請假也難免不是不可能發生因為我想因為您也是研究公法憲法應該很重視正當法律程序所以呢開會開庭的人數是不是也是屬於正當法律程序的一環
transcript.whisperx[497].start 23395.664
transcript.whisperx[497].end 23420.197
transcript.whisperx[497].text 基本上我覺得這個比較像是民主正當性的一環是不是符合民主正當性是符合民主正當性所以少數大法官的確他不適合做成這麼重要的憲法判決如果這麼少的大法官做了這樣的憲法判決的確就有可能違反民主正當性然後違反我們的相關的這個正當法律程序
transcript.whisperx[498].start 23420.737
transcript.whisperx[498].end 23444.068
transcript.whisperx[498].text 那接下來我還想請教就是:剛剛吳秉瑞委員所講的他說呢憲政機關有可能違憲請問憲法法庭有可能違憲嗎那要看個案的情況到底是怎麼樣所以也是有可能嗎如果說所有的憲政機關都有可能違憲當然不排除司法機關也有可能做成違憲的憲法判決是吧
transcript.whisperx[499].start 23447.578
transcript.whisperx[499].end 23462.967
transcript.whisperx[499].text 我比較難以想像委員在講的是什麼樣的狀況在納粹時代的聯邦憲法德國聯邦憲法法院做了很多的判決後來都被認為它就是個違憲的憲法判決所以呢不代表說憲法法庭做出來的判決
transcript.whisperx[500].start 23464.514
transcript.whisperx[500].end 23464.574
transcript.whisperx[500].text 《國民主權原則》
transcript.whisperx[501].start 23479.073
transcript.whisperx[501].end 23503.728
transcript.whisperx[501].text 所以我要講就是說是吳秉瑞委員剛剛說的憲法法庭他處理的問題可能是在去解決有可能憲政機關有違憲但是呢也不要忘記憲法法院憲法法庭本身可能也可能會做成一個違憲的這個憲法判決那麼接下來我很想請教您的就是因為我們知道其實大法官的獨立性很重要
transcript.whisperx[502].start 23504.628
transcript.whisperx[502].end 23521.691
transcript.whisperx[502].text 除了多元性我覺得大法官的獨立性更是重要要如何檢視判斷大法官有超越黨派能夠做到制衡執政者制衡行政權我覺得這個是一個很重要的一個檢驗標準不知道您是不是同意我
transcript.whisperx[503].start 23523.903
transcript.whisperx[503].end 23547.659
transcript.whisperx[503].text 我是同意這個標準依照我們憲法的規定大法官基本上是依據法律獨立審判的法官的一種這個大法官也解釋過那當然他必須要用中立獨立超然的立場來進行審判那大法官他是不是超然獨立中立基本上當然就表現在他的憲法判決裡面
transcript.whisperx[504].start 23551.08
transcript.whisperx[504].end 23571.55
transcript.whisperx[504].text 謝謝劉教授接下來我也做了一個表我們來看看這一屆的大法官他們到底做了哪些判決他們是反抗或制衡執政者的制衡行政權的經過我這個PPT上面所列的不管是在軍公教退休金的這個釋憲案
transcript.whisperx[505].start 23574.421
transcript.whisperx[505].end 23602.239
transcript.whisperx[505].text 還有萊豬標示的釋憲案.農田水利會的釋憲案.不當黨產釋憲案.還有死刑有條件的核憲案.國會改革法案的釋憲案等等.諸如此類的憲法判決.幾乎都是在護航民進黨的政策.所以也難怪為什麼這屆的大法官備受批評.認為說他們就是一群綠油油的大法官.
transcript.whisperx[506].start 23603.872
transcript.whisperx[506].end 23632.051
transcript.whisperx[506].text 我認為說要檢視一個大法官的獨立性就要聽其言、觀其行、讀其憲法判決從這些事實基本上就證明確實大法官如果說具有高度的政治性很難讓大家不質疑就是說是他是不是真的能夠在釋憲的時候做出一個中立、客觀、專業的憲法判決那麼因為大法官獨立性很重要所以接下來我也想就一些問題來請教您的意見
transcript.whisperx[507].start 23634.178
transcript.whisperx[507].end 23650.95
transcript.whisperx[507].text 因為您過去其實也擔任過很多這個釋憲案的專家見地人那在這些議題上面我想有幾個部分大概我也不用再請教您譬如說當時在釋字689號解釋裡面您是支持狗仔記者有跟追的權利
transcript.whisperx[508].start 23652.01
transcript.whisperx[508].end 23675.61
transcript.whisperx[508].text 對不起我想這個部分我想跟委員說明一下在這個案子裡面我是當時申請釋憲人的訴訟代理人基本上這個案子是在處理跟追跟隱私權之間的關係也就是新聞自由跟隱私權之間的關係並不是說我支持狗仔跟追在這個解釋裡面其實大法官也說了
transcript.whisperx[509].start 23680.287
transcript.whisperx[509].end 23708.457
transcript.whisperx[509].text 即使你叫他狗仔他還是有新聞自由否則沒有辦法產製新聞所以我基本上知道你的立場即便是狗仔記者也是有新聞自由所以這個是您的立場當然您還有參加軍公教年改的釋憲案擔任專家經紀人或訴訟代理人然後您也支持通姦除罪化在酒駕強制抽血的部分您基本上是反對的對不對
transcript.whisperx[510].start 23709.978
transcript.whisperx[510].end 23710.999
transcript.whisperx[510].text 您是不是支持在國中小的階段就要接受同性教育?
transcript.whisperx[511].start 23728.026
transcript.whisperx[511].end 23745.558
transcript.whisperx[511].text 我其實不清楚委員所說的同性教育是什麼我沒有從我的公開的言論裡面說過在您這次的報告裡面我有看到我基本上是認為每一個人都應該盡量接受性別平等的教育
transcript.whisperx[512].start 23747.379
transcript.whisperx[512].end 23771.793
transcript.whisperx[512].text 這個並不是說國中小接受同性教育沒有我完全沒有寫這個東西可能是委員弄錯了我是看到您的書面資料之後我們可以再確認然後請問一下您會支持NCC有權關掉新聞台嗎主要是研究言論自由新聞自由的我覺得這個要看是什麼樣的狀況要看是什麼樣的新聞台
transcript.whisperx[513].start 23775.755
transcript.whisperx[513].end 23798.169
transcript.whisperx[513].text 中間新聞台你認為他應該關掉嗎我覺得中間新聞台的這個案子呢基本上呢可能在理由構成上面必須要更加的謹慎什麼的理由你是說關台的理由關台的理由對所以你還是認為說政府是有權關掉新聞台的基本上這不是關新聞台的問題這是一個衛星廣播電視執照新聞類的這個電視台換照的問題
transcript.whisperx[514].start 23801.351
transcript.whisperx[514].end 23803.633
transcript.whisperx[514].text 這基本上我想委員也清楚這裡有嚴重的內容管制新聞自由的管制的問題
transcript.whisperx[515].start 23830.416
transcript.whisperx[515].end 23852.681
transcript.whisperx[515].text 所以您是支持NCC有內容管制?我不支持我非常清楚不支持接下來我想請教您在這一次我們訪台的陸生他不經意的就是前陣子馬英九總統他不是邀請了一群陸生團其中有一位漂亮的女同學她在受訪的時候不經意的把Chinese Taipei講成中國台北然後被
transcript.whisperx[516].start 23853.781
transcript.whisperx[516].end 23858.303
transcript.whisperx[516].text 請問一下您認為陸生這位大陸的女同學﹖她有沒有言論自由﹖她可以說中國台北﹖
transcript.whisperx[517].start 23871.842
transcript.whisperx[517].end 23895.872
transcript.whisperx[517].text 我想這個是陸生的言論自由那你認為應該要處罰馬英九辦公室嗎因為這是馬英九辦公室他們主動我覺得應該主體不同吧這主體不同嘛那陸委會是要處罰啊是要處罰馬辦啊我想陸委會如果要處罰馬辦的話基本上就必須要看看那個個案裡面法律構成到底是因為陸生今天講這句話有妨礙國家安全
transcript.whisperx[518].start 23900.734
transcript.whisperx[518].end 23926.305
transcript.whisperx[518].text 防害國家安全之餘?你認為講這句中國台北的話有防害國家安全之餘嗎?我想這個還需要更審慎的考量就直接這樣子講的話可能呢兩邊都沒有辦法說有此可見你沒有看清楚那個新聞嗎?我這次也發現我們很多的大法官基本上是不關心時事的不關心社會新聞所以難怪為什麼大家會批評我們大法官不接地氣
transcript.whisperx[519].start 23927.984
transcript.whisperx[519].end 23955.624
transcript.whisperx[519].text 然後這次的很多大法官提名人還說我們要跟這個進行民主思辨跟社會對話但是都不看新聞不了解時事的大法官我都不知道要如何跟這個民意來對話好那接下來請問一下就是好我們接下來再來進行下一個題目這個在2018年臺大校長領選風波案裡面讓臺大有將近一年半的時間是沒有正式的校長
transcript.whisperx[520].start 23957.035
transcript.whisperx[520].end 23977.722
transcript.whisperx[520].text 請問您作為臺大的教授﹖這一年半沒有校長﹖對臺大的效果有沒有影響?我想你要看是從哪一個方面來看臺大當時一直有代理校長﹖代理校長也很努力的在維持臺大的運作代理校長可以去做一些重要的決策嗎?其實都有在做那臺大的師生的生活一切如常
transcript.whisperx[521].start 23978.662
transcript.whisperx[521].end 24005.288
transcript.whisperx[521].text 以我自己來講我自己就一切如常了解所以照您的這個邏輯其實大學可以不用正式校長我並沒有說我並沒有說大學我並沒有說大學不需要校長但是呢一個大學的校長基本上呢必須要透過真正的大學自治的方式選出來所以您認為說這個教育部
transcript.whisperx[522].start 24007.145
transcript.whisperx[522].end 24010.928
transcript.whisperx[522].text 我所謂的倉促是沒有考慮到很多事情比如說當時
transcript.whisperx[523].start 24026.978
transcript.whisperx[523].end 24035.263
transcript.whisperx[523].text 檢察院已經在調查管先生的違法兼職案但是呢他並沒有對並沒有把這個東西我認為有權力依照我們現在的大學法底下我認為我認為是
transcript.whisperx[524].start 24056.495
transcript.whisperx[524].end 24058.077
transcript.whisperx[524].text 謝謝翁曉琳委員的詢問:也謝謝被提名的劉教授的詢問:謝謝
transcript.whisperx[525].start 24081.963
transcript.whisperx[525].end 24110.847
transcript.whisperx[525].text 在接下來我們請登記第6號王振旭委員詢問謝謝韓院長有請劉教授、大法官、被提名人、劉靜怡教授
transcript.whisperx[526].start 24119.588
transcript.whisperx[526].end 24147.368
transcript.whisperx[526].text 劉教授好委員好我先讀有關於總統府大法官被提名人介紹記者會當中對於劉教授的介紹跟說明你沒有提到劉被提名人長期在臺灣大學以及中央研究院從事憲法、資訊、科技以及人工智慧法學的研究與教學中外文的論述豐富
transcript.whisperx[527].start 24149.352
transcript.whisperx[527].end 24175.821
transcript.whisperx[527].text 法學專業深受肯定.他也曾多次參與憲法.法庭重大的事件案件.例如擔任111年憲判制第13號.判決健保資料庫之鑑定人.而且劉教授在國際學術參與.也非常的亮眼.目前也擔任人工智慧國際組織.JPAI專家職務.從事跨領域研究與專業諮詢.
transcript.whisperx[528].start 24178.622
transcript.whisperx[528].end 24203.283
transcript.whisperx[528].text 學術研究成果有助於人工智慧時代.個人資料及隱私權的保護.劉教授專精新興科技法學.具前瞻思維及國際視野.且多次參與憲法的法庭活動.對我國因應數位發展.維護民主憲政保障基本人權.一定能夠提供重要的影響與貢獻.相信
transcript.whisperx[529].start 24206.244
transcript.whisperx[529].end 24223.384
transcript.whisperx[529].text 劉教授,如果您經過大家的同意的話:一定會不負總統的期望。是,我是來自醫界。劉教授是法界的權威。我還是先從醫界關心的一些事情來跟您就教。
transcript.whisperx[530].start 24224.133
transcript.whisperx[530].end 24229.943
transcript.whisperx[530].text 一個就是有關於目前診所無障礙設施相關的問題因為這個問題的確在衛福部2021年的時候就有過一個
transcript.whisperx[531].start 24236.975
transcript.whisperx[531].end 24263.008
transcript.whisperx[531].text 預告修正醫療機構設置標準第9條草案裡面.其實主要的是針對於我們的這些保障身心障礙者.就醫過程還有適應這個未來這個高齡者就醫的權益.來提高就醫的便利性跟可進性.希望能夠預計修正行政命令來規定.醫療診所都要有設置相關的友善設施.
transcript.whisperx[532].start 24264.048
transcript.whisperx[532].end 24273.975
transcript.whisperx[532].text 他用意非常非常的良善那這個草案預計會新增包括的設施會有通路、診所
transcript.whisperx[533].start 24275.014
transcript.whisperx[533].end 24293.289
transcript.whisperx[533].text 外號結帳的櫃台以及服務台都能夠讓我們這些身心障礙者或者是長者在就醫的過程裡面有他的方便性同時也不至於影響到他就醫的權益在這個過程裡面我們這個身心障礙聯盟曾經在針對這個修正的過程當中
transcript.whisperx[534].start 24296.331
transcript.whisperx[534].end 24319.851
transcript.whisperx[534].text 發表一些聲明就是除了支持這個衛護部的相關的草案以外也希望能夠針對權益的維護部分希望能夠也讓這個診所在準備過程當中不至於有太大的問題所以提出的第一點就是要修正草案請要求新設的診所並不溯及既往第二點就是設置要求
transcript.whisperx[535].start 24320.424
transcript.whisperx[535].end 24341.06
transcript.whisperx[535].text 以依照比例原則做彈性的調整.最後還提到.如果小規模診所.可以偵測友善廁所來改造的話.比如說偵測扶手.相信對於這些來就醫的這些長者.或者是身心障礙者.會有很多的方便.不過當然這個議界也提出所擔心的事情.
transcript.whisperx[536].start 24341.656
transcript.whisperx[536].end 24355.849
transcript.whisperx[536].text 包括說在2024年6月的部分也提出希望能夠持續的維持這個關懷跟信任的醫病關係來共同打造這個可長可久的友善無障礙的就醫環境裡面又擔心如果
transcript.whisperx[537].start 24357.896
transcript.whisperx[537].end 24379.506
transcript.whisperx[537].text 當這個強制規定的話:在住外南行的部分:希望能夠維持現行鼓勵:而非強制的政策方向:因為如果真的是住外南行:來影響這個基層診所的生存:尤其經過這個全面規劃:沒有考量到城鄉差距的情形之下:甚至有可能這些城駐的診所:
transcript.whisperx[538].start 24381.107
transcript.whisperx[538].end 24407.997
transcript.whisperx[538].text 如果真的都要做這樣的緩修.無法得到同意的時候.就會造成一些在服務過程裡面.反而會去影響到這些身陷障礙.或長者這個就醫.或者是權益的保障那這兩個部分.包括這個身陷障礙者.或這個年長者.可能在就醫過程裡面.希望能夠維持好的.完整的這個權益的保障
transcript.whisperx[539].start 24408.681
transcript.whisperx[539].end 24418.972
transcript.whisperx[539].text 另外醫療診所尤其是診所這邊如果在比例原則工作權上受影響的話不知道劉教授您的看法如何
transcript.whisperx[540].start 24420.482
transcript.whisperx[540].end 24441.302
transcript.whisperx[540].text 謝謝委員的提問我想這個問題當然就是一個如何衡平不同的方面的權益的問題身心障礙者保護權益的法律基本上是因為我們CRPD的這些核心原則跟價值而來的
transcript.whisperx[541].start 24442.943
transcript.whisperx[541].end 24460.396
transcript.whisperx[541].text 在CRPD的這個規定裡面基本上他會要求就是說必須要在這個所謂的公共場所的相關的空間設施以及無障礙設施上面當然包括硬體設施的部分必須要有這個
transcript.whisperx[542].start 24461.597
transcript.whisperx[542].end 24485.624
transcript.whisperx[542].text 最低要符合所謂的合理調整原則這樣子的要求那這是一個法律上面的我們說要求跟誡命不過呢正如委員所說的法規的實踐或者是硬體的建設跟改善沒有辦法一觸可擊那無論國家或者是民間經營的業者可能都會有他的困難
transcript.whisperx[543].start 24486.804
transcript.whisperx[543].end 24507.175
transcript.whisperx[543].text 所以在這個時候我認為國家必須要在確保符合CRPD跟生權法的情況底下確保不同的產業用各項的方式在各項社會設施、建築業的設計建築的設計跟公共服務還有各項民生服務、軟硬體建設、交通資訊等等等
transcript.whisperx[544].start 24508.596
transcript.whisperx[544].end 24532.664
transcript.whisperx[544].text 想盡辦法盡量能夠協助民間單位跟產業來逐一落實這樣子的這個義務我認為在這個事情上面其實政府的角色是非常關鍵的那避免因為落實相關的法規的時候呢人民產業社會團體會不知所措甚至呢在抗拒的情況底下呢
transcript.whisperx[545].start 24532.964
transcript.whisperx[545].end 24532.984
transcript.whisperx[545].text 張文貞議員
transcript.whisperx[546].start 24554.515
transcript.whisperx[546].end 24581.616
transcript.whisperx[546].text 坦白講這樣的要求其實呢可能比餐廳的要求還要低我想委員也知道那我覺得這個部分就是國家應該要想辦法去想辦法去逐步改善的想要去應該要去輔導的事情尤其我們這個國家呢已經快要進入超高齡社會了對於這些無障礙設施的要求
transcript.whisperx[547].start 24582.705
transcript.whisperx[547].end 24582.905
transcript.whisperx[547].text 委員會主席
transcript.whisperx[548].start 24609.292
transcript.whisperx[548].end 24625.898
transcript.whisperx[548].text 政府應該更積極的跟醫療機構、醫療診所去合作﹐從各方面去協助醫療機構去改善提高﹐甚至支持這個空間設施的改善﹐以便能夠達到合理調整的這個部分的要求
transcript.whisperx[549].start 24626.718
transcript.whisperx[549].end 24627.719
transcript.whisperx[549].text 合理調整
transcript.whisperx[550].start 24643.318
transcript.whisperx[550].end 24669.577
transcript.whisperx[550].text 這裡當然會有一個問題就是呢僱主在處理這個合理調整的義務的達成的過程當中會不會呢有受到這個undue burden這樣子的過度的負擔的這個狀況那我覺得就必須要呢是資源以及個案來看看怎麼樣去處理這個問題我希望這樣子可能有答覆到委員的提問
transcript.whisperx[551].start 24670.236
transcript.whisperx[551].end 24699.076
transcript.whisperx[551].text 好,非常感謝劉教授因為如果將來爭議走到需要釋憲的階段的話可能就是如劉教授所提到的我們期待大家都能夠用很前瞻的思維來討論這個問題好,謝謝那第二個部分就是要請教有關於這個醫藥分業跟釋制第778號解釋的這個內容的部分這個爭議其實主要就是醫藥分業的情形之下如何能夠保障我們就醫
transcript.whisperx[552].start 24704.78
transcript.whisperx[552].end 24727.135
transcript.whisperx[552].text 主要是在藥師法第102條限制了醫師藥品的調劑權這部分其實是沒有違憲的可是對於第二條藥師法施行細則50條對醫療急迫情形的解釋似乎是違憲的這個相關的爭議那基本上在這個第三項理由書裡面
transcript.whisperx[553].start 24728.436
transcript.whisperx[553].end 24740.612
transcript.whisperx[553].text 在並此指明的部分又特別說明當時的大法官會議針對醫藥分業認為這是政策上的立法選擇因此在原則上應以尊重那對這一點
transcript.whisperx[554].start 24742.589
transcript.whisperx[554].end 24758.341
transcript.whisperx[554].text 劉教授,您是不是也有同樣的觀點?好,我想跟委員報告一下當然我並不是醫藥的專家我就儘量嘗試回答事實上在有關於醫藥的調劑權等等這些事情上面我們曾經有兩個解釋
transcript.whisperx[555].start 24760.242
transcript.whisperx[555].end 24772.568
transcript.whisperx[555].text 第1個解釋是應該是4-711號的有關於限制藥師職業處所的那個部分那那個是一個違憲宣告那剛剛委員提到的是4-778號的這個爭議那這個爭議當然就是藥事法102條的爭議
transcript.whisperx[556].start 24778.27
transcript.whisperx[556].end 24800.643
transcript.whisperx[556].text 這號解釋呢他是認為102條第二項是不違憲的因為沒有侵害到醫師的藥品調劑權因為在例外的情況底下還是讓醫師可以有藥品調劑權我的理解是這個樣子的那但是施行細則跟含釋的部分呢對於醫療急迫情形的解釋因為在醫療法裡面並沒有授權
transcript.whisperx[557].start 24801.483
transcript.whisperx[557].end 24827.942
transcript.whisperx[557].text 所以有增加法律所無的限制的那個部分的違憲那這個就是目前的解釋方式那我的理解是說當時醫藥分業的這個做法是搭著我們全民健保制度建構起來的醫藥分業呢它其實的確是有助於病人權利的保障這個是當時政策上面的考量
transcript.whisperx[558].start 24828.422
transcript.whisperx[558].end 24838.019
transcript.whisperx[558].text 因為藥師有藥師的專業那透過藥師的條紀呢可能呢可以再次把關這個醫師他處方上面的用藥合理性等等等這些問題
transcript.whisperx[559].start 24840.858
transcript.whisperx[559].end 24858.664
transcript.whisperx[559].text 4至778號他非常的清楚說這是一個政策問題在政策問題上面其實就是一個立法選擇所以事先機關原則上應該尊重這就是我剛剛前面在回答問題的時候一直說的
transcript.whisperx[560].start 24859.324
transcript.whisperx[560].end 24886.662
transcript.whisperx[560].text 如果是政治部門、行政部門、立法部門在做政策形成的時候衡量各式各樣的資源的考量國家重大政策應該怎麼樣走比較好能夠在立法院達成共識的時候基本上事先者應該要尊重這樣子的共識換句話說採取醫藥分業與否基本上這是一個立法政策的形成
transcript.whisperx[561].start 24889.884
transcript.whisperx[561].end 24899.371
transcript.whisperx[561].text 維持這樣的制度 坦白說 恐怕並不當然會構成違憲那當然這還是必須要看 個案的這個爭議的狀況來決定可是我要講的是說
transcript.whisperx[562].start 24903.752
transcript.whisperx[562].end 24916.657
transcript.whisperx[562].text 即使大法官在判定這個案子合憲之後.他在理由書裡面也同時指出來說.在上開制度未真完備之前.有關機關亦應配合醫藥分業實際發展程度.橫著細真規定.
transcript.whisperx[563].start 24920.802
transcript.whisperx[563].end 24949.473
transcript.whisperx[563].text 也就是呢醫師得例外調劑藥品的範圍是不是足夠讓病人的醫療權益受到維護的這個最高利益能夠獲得確保應該要事實檢討並為合理的調整那基本上呢雖然這個部分的理由呢沒有具強制力但是呢我相信呢這個是將來在政策形成的過程當中大家很有必要去做的一個參考
transcript.whisperx[564].start 24951.654
transcript.whisperx[564].end 24959.157
transcript.whisperx[564].text 謝謝所以其實就是不管完全分頁、部分分頁甚至是不分頁只要不違憲其實就是政策的選擇是好 謝謝
transcript.whisperx[565].start 24961.823
transcript.whisperx[565].end 24987.558
transcript.whisperx[565].text 再過來就是要請教跟這個人工智慧科技發展應用跟人權保障的問題我們知道國科會在今年7月份已經針對人工智慧基本法有了一個預告草案那請問劉教授你對這個草案的內容相關的保障是不是已經有充足這一部分可不可以也請你針對這邊發表一下你對這個草案的觀點
transcript.whisperx[566].start 24990.661
transcript.whisperx[566].end 25014.559
transcript.whisperx[566].text 謝謝委員的提問我想這個法律名字叫做《人工智慧基本法》這個基本法的內容如果委員詳細去看的話它其實是非常簡要的它原則上是在針對我們這個國家要發展人工智慧的時候政府應該負擔什麼責任
transcript.whisperx[567].start 25018.459
transcript.whisperx[567].end 25040.282
transcript.whisperx[567].text 對於司部門有什麼樣的要求把一些基本的原則清楚的講出來比如說在資料治理這個部分應該怎麼做在人民的隱私權利的確保這個部分應該怎麼樣以及比如說OECD有一個AI Principles
transcript.whisperx[568].start 25041.062
transcript.whisperx[568].end 25041.182
transcript.whisperx[568].text 委員會主席
transcript.whisperx[569].start 25057.869
transcript.whisperx[569].end 25083.77
transcript.whisperx[569].text 負責任的AI的社會應該要追求一個以人為中心以人為本的AI使用的社會等等這些問題都去做了一個比較類似於宣示性的以及架構性的規定除此之外這個法律裡面應該也有針對
transcript.whisperx[570].start 25085.73
transcript.whisperx[570].end 25108.587
transcript.whisperx[570].text 這個國家怎麼樣透過好的誘因結構去想辦法引導AI科技的創新的研發跟應用然後同時也能夠確保人民的權益的這個部分做了一些宣示那我想這個法律裡面到底應該有哪些規定
transcript.whisperx[571].start 25110.152
transcript.whisperx[571].end 25126.602
transcript.whisperx[571].text 我覺得這是見仁見智的問題不過我覺得最重要的事情是這個其實只是人工智慧相關法制的立法的第一步而已我想委員也清楚的是今年其實歐盟已經有一個
transcript.whisperx[572].start 25127.643
transcript.whisperx[572].end 25153.13
transcript.whisperx[572].text 非常嚴格、嚴謹、制度井然的一個人工智慧法已經正式通過實行了或許我們沒有辦法一步到位做到像那個樣子但是這個人工智慧基本法所宣示的一些基本原則其實跟歐盟的立法我會說它並沒有相差太遠
transcript.whisperx[573].start 25154.21
transcript.whisperx[573].end 25166.764
transcript.whisperx[573].text 比如說我們的人工智慧基本法裡面也要求說應該要對人工智慧可能帶來的風險做一定程度的管制當然他可能在任何領域都可能有風險的
transcript.whisperx[574].start 25168.945
transcript.whisperx[574].end 25190.308
transcript.whisperx[574].text 甚至我覺得這個人工智慧基本法呢這個將來如果在貴院通過生效之後其實貴院應該做的一個更重要的事情是根據這個人工智慧基本法裡面的那些要求不管是對資料相關的權益的要求
transcript.whisperx[575].start 25192.31
transcript.whisperx[575].end 25193.67
transcript.whisperx[575].text 在這種情況底下就必須要去針對這些問題
transcript.whisperx[576].start 25220.965
transcript.whisperx[576].end 25238.978
transcript.whisperx[576].text 每一個領域可能涉及的作用法去做一一的檢視跟調整讓這些法律能夠一方面促成人工智慧的正向的發展他方面也可以去處理一些風險跟人權保障的問題
transcript.whisperx[577].start 25242.14
transcript.whisperx[577].end 25259.978
transcript.whisperx[577].text 想要再利用時間跟您就教健保資料利用與個資保護權衡的問題這一部分劉教授也發表過非常多的意見不過因為時間的關係另外再找時間跟您就教那其實對於一個大法官的職責在私衡的
transcript.whisperx[578].start 25260.859
transcript.whisperx[578].end 25277.58
transcript.whisperx[578].text 天平兩端,我們期待的就是大法官能夠從這邊得到一個最佳的平衡讓全國的民眾知道大法官在執行這個選擇過程裡面其實是值得保障人民權益的過程當中得到最高的期待
transcript.whisperx[579].start 25279.022
transcript.whisperx[579].end 25306.64
transcript.whisperx[579].text 也麻煩劉教授您這方面的承諾是怎麼樣各位簡短的再說一次我想這個部分我是可以承諾的沒有問題的我想委員也非常的清楚其實我的專業過程裡面其實絕大部分的研究重點是關於人權的保障那我也做過很多人權實務的工作我有我自己的價值跟信念但是呢就像我在我的自傳跟我的資料裡面問卷回覆意見裡面有講過
transcript.whisperx[580].start 25308.041
transcript.whisperx[580].end 25314.528
transcript.whisperx[580].text 我個人的價值跟信念基本上在憲法法庭是必須要透過對這個整個國家
transcript.whisperx[581].start 25335.213
transcript.whisperx[581].end 25362.251
transcript.whisperx[581].text 好 謝謝王振旭委員的詢問也謝謝被提名的劉教授的詢答 謝謝接下來我們請登記第7位徐巧欣委員詢問謝謝主席那我們是不是有請劉被提名人麻煩再請被提名的劉教授請被詢問
transcript.whisperx[582].start 25367.777
transcript.whisperx[582].end 25391.979
transcript.whisperx[582].text 你好那剛才很多位委員對您有這個質詢那都談到說大法官應該要超然獨立那今天我就想要針對您過去的一些表態那來看看是否能夠跟過去的您是沒有改變的那有超然獨立之心首先我想要詢問您過去有沒有質疑過蔡英文前總統的論文
transcript.whisperx[583].start 25393.878
transcript.whisperx[583].end 25415.148
transcript.whisperx[583].text 我想跟委員說明一下我不是質疑蔡總統的論文內容我是質疑蔡總統的論文是不是應該放到國圖的碩士論文博士論文系統上面因為國圖的碩博士論文只是這樣嗎是我們來看一下你過去說什麼好不好
transcript.whisperx[584].start 25418.851
transcript.whisperx[584].end 25441.563
transcript.whisperx[584].text 你說呢,仔細看了某位助理的LSE學位證書後.突然有點好奇.小英出世的博士學位證書上面.到底是寫哪年哪月哪日.LSE校徽或學位證書樣式是否曾經更改.可不可以說明一下.你為什麼不提起他所出世的校徽.跟學位證書有更改的疑慮
transcript.whisperx[585].start 25443.444
transcript.whisperx[585].end 25463.515
transcript.whisperx[585].text 跟委員報告一下我想這個問題呢其實委員可能不清楚就是蔡總統她自己也講過她有申請補發過論文對但是你所說的是你認為LSE的校徽或爵位勝書的樣式是否曾經更改跟你剛剛所說的是不一樣的我們再看下一張齁那你在臉書發文裡面呢寫說
transcript.whisperx[586].start 25465.436
transcript.whisperx[586].end 25466.317
transcript.whisperx[586].text 因為你沒有讓我講完啊
transcript.whisperx[587].start 25491.776
transcript.whisperx[587].end 25492.197
transcript.whisperx[587].text 為什麼你當時要質疑蔡英文總統的職職?
transcript.whisperx[588].start 25505.196
transcript.whisperx[588].end 25522.442
transcript.whisperx[588].text 因為總統提出來的給大家看的紙質的確不是我所認知到我在美國所用的論文的印刷的紙質那我不知道是不是當時的英國的紙是用那樣的紙所以你現在認為蔡英文總統的論文本身是沒有問題的
transcript.whisperx[589].start 25526.843
transcript.whisperx[589].end 25527.823
transcript.whisperx[589].text 我剛剛是在總結您剛剛的說法
transcript.whisperx[590].start 25558.877
transcript.whisperx[590].end 25572.685
transcript.whisperx[590].text 接下來繼續問因為我知道您對於寫臉書很有興趣我本身也是您的追蹤者所以我想要問一下你今天來當大法官你是因為想當官還是為人民做事?
transcript.whisperx[591].start 25573.685
transcript.whisperx[591].end 25592.684
transcript.whisperx[591].text 我非常清楚的是我要實踐一個法律人對一個憲法基本秩序跟基本人權的維護的一個責任那我們看一下你的貼文在有祝應您代表成中免職然後呢去接了WTO副常任代表的時候你說好羨慕啊
transcript.whisperx[592].start 25593.582
transcript.whisperx[592].end 25595.924
transcript.whisperx[592].text 好羨慕是終於有一個機會可以為國家做一點事
transcript.whisperx[593].start 25611.494
transcript.whisperx[593].end 25617.696
transcript.whisperx[593].text 關於蔡英文總統的論文你剛承認了幾件事情是你心裡的疑慮但你其實還有另外一篇臉書的文章寫說學會論文經過公正才有法律效力嗎竟然還有一大堆人相信喔
transcript.whisperx[594].start 25634.68
transcript.whisperx[594].end 25661.349
transcript.whisperx[594].text 這到底是哪位法學大師發明的法律見解而且學位論文為什麼不需要有法律效力這不是給大家製造不必要的麻煩嗎這已經比管爺的臺大法務處幫永齡基金會這個臺團法人主張個人隱私保護權更驚人囉依這個邏輯我寫過的每一本學位論文都無效囉那我的學位也無效嗎出這招的是自己的學位論文有經過公證嗎真是供法學保庫請問這篇文章刪文的理由是什麼
transcript.whisperx[595].start 25662.315
transcript.whisperx[595].end 25689.158
transcript.whisperx[595].text 我不記得我有刪文你刪文了如果刪文的話那基本上委員已經唸出來了長這樣子基本上呢點進去會長什麼好基本上呢他也有可能是誤刪但是呢誤刪啊你相關的所有剛剛的委員全部都刪掉了我都是從內存的找的委員所講的你剛剛說是誤刪委員所講的那些話基本上我都講過我現在的想法還是這樣
transcript.whisperx[596].start 25690.492
transcript.whisperx[596].end 25711.023
transcript.whisperx[596].text 好 那接下來我要問的是關於人權的問題就是因為蔡英文前總統的論文引發了一系列的法律爭議包含是彭文正教授他們當時去打了這個蔡英文前總統的學歷論文的事件那後來我們的政府選擇不採自助的方式用公訴的方式提告
transcript.whisperx[597].start 25711.443
transcript.whisperx[597].end 25730.592
transcript.whisperx[597].text 等於用法務部的關係去偵辦了這個總統是否是假學歷的案件那分案過程當中還把這個簡單的妨礙民意案件變成是用黑金組特別偵查最後彭文正教授們被通緝、被沒收護照請問這個有沒有違反人權之嫌
transcript.whisperx[598].start 25731.343
transcript.whisperx[598].end 25734.686
transcript.whisperx[598].text 好,你也覺得在人權上面,你覺得他不是一個很恰當的這個做法嗎?
transcript.whisperx[599].start 25757.786
transcript.whisperx[599].end 25777.942
transcript.whisperx[599].text 2021��2021年3月31號的時候政府對媒體發布以妨礙民意違反選罷法兩項罪行起訴彭文正這個您剛剛已經回答過了其實他的司法到底判決公不公正這個都是司法的角度但是總統的學歷在所有的民主國家當中應該都是可受公平的
transcript.whisperx[600].start 25778.342
transcript.whisperx[600].end 25797.401
transcript.whisperx[600].text 好那但是呢我想要問如果今天彭文正教授他覺得自己的人權被迫害了要怎麼樣進行救濟他如果申請釋憲的話你作為一個大法官被提名人你認為彭文正教授的人權受到迫害的釋憲你會以何看法看待之
transcript.whisperx[601].start 25798.381
transcript.whisperx[601].end 25815.787
transcript.whisperx[601].text 我想這個就要看彭教授到時候是用什麼樣的方式釋憲那如果未來我是大法官的話當然我沒有辦法在這個地方就清楚的針對具體的個案去做我心中的表達但是我要講的是
transcript.whisperx[602].start 25817.358
transcript.whisperx[602].end 25833.995
transcript.whisperx[602].text 我們在大法官的這個職權行使上面呢基本上當然必須要看彭教授是不是呢來提出所謂的法規範的違憲審查或是裁判的違憲審查當然我有講嘛
transcript.whisperx[603].start 25834.696
transcript.whisperx[603].end 25856.421
transcript.whisperx[603].text 我有說他有提出幾個要點就是說為什麼他的妨礙名譽罪然後會變成是通緝跟沒收護照我針對這個部分去詢問您從人權的角度來說您的看法您就是要看呢他到底比如說如果他是用妨礙名譽罪的這個部分呢來申請的話那就要看呢大法官第一個在程序上要不要受理
transcript.whisperx[604].start 25856.861
transcript.whisperx[604].end 25859.123
transcript.whisperx[604].text 如果過去有關於妨礙名譽的這個部分的大法官的解釋有補充的必要的話有可能會被受理
transcript.whisperx[605].start 25881.944
transcript.whisperx[605].end 25904.3
transcript.whisperx[605].text 有可能會被受理,那你個人的角度來說,你覺得應該要被受理嗎?我覺得要看情況,因為要看官員真的事實,所以我了解了那再來呢,我們在這個質詢台、備詢台上,大家都是互有禮貌的但如果我在這裡說你是瘋老女人的話,你能夠接受嗎?
transcript.whisperx[606].start 25905.667
transcript.whisperx[606].end 25932.549
transcript.whisperx[606].text 我覺得這個是可受公平我現在是在接受委員的審查我想委員也不至於講出這樣子的話但是你卻稱呼管中敏教授管中敏前台大校長為偷老男人我並沒有那你是怎麼評價他的這個到底是誰在對號入座我也不知道你在臉書回嗆說不回應
transcript.whisperx[607].start 25934.611
transcript.whisperx[607].end 25953.82
transcript.whisperx[607].text 老男人的風化那你是在指涉誰呢我有很多男性朋友都是老男人啊所以你的意思是你剛剛講的那一句話不是管宗敏教授我只稱管教授吧所以不是囉不是啊那是別人你的意思是說你講的是別人所以這篇新聞是假新聞
transcript.whisperx[608].start 25954.62
transcript.whisperx[608].end 25956.342
transcript.whisperx[608].text 那你願意在你的臉書上澄清說這句話並不是在講管中銘嗎?可以嗎?
transcript.whisperx[609].start 25972.395
transcript.whisperx[609].end 25972.915
transcript.whisperx[609].text 來 我知道了再來
transcript.whisperx[610].start 25995.469
transcript.whisperx[610].end 26020.523
transcript.whisperx[610].text 管校長說你曾經攻擊他數個月 寫一大堆造謠抹黑他的貼文那我去查了一下大概有幾個部分那比方說你說在某一天你說當臺大決定要讓管中銘擔任校長的時候你的臉書發文說免語同意又來了這些人大概真的以為他們都看不懂他們在合演一齣超級搞笑劇
transcript.whisperx[611].start 26021.443
transcript.whisperx[611].end 26043.048
transcript.whisperx[611].text 另外當這個決定下來的時候你回答說你的臉書寫說上級機關可以撤銷下級機關的決定公文發出根本不是理由這是法學序論的程度吧果真是言好言滿本年度最大的假新聞當時對於後來臺大聘任管中銘為校長的時候
transcript.whisperx[612].start 26044.568
transcript.whisperx[612].end 26070.34
transcript.whisperx[612].text 你是這麼評論的,那如今你的看法是一致的嗎?呃,對不起,聘任管中閔道校長的,不是台大,是教育部,當時的教育部合併的。我問的是,台大也同意嘛,台大本身是同意的,然後教育部合併嘛,所以我問的是這件事情,你還是持先前的看法,說是年度最大的假新聞,言好言滿嗎?我過去的看法都沒有改變。
transcript.whisperx[613].start 26071.781
transcript.whisperx[613].end 26084.195
transcript.whisperx[613].text 你過去的看法都沒有改變所以你仍然覺得這是一個搞笑劇臺大的校長就是教育部就是在演了一個搞笑劇民進黨過去的政府演了一個搞笑劇是沒有錯是沒有錯沒有問題你知道
transcript.whisperx[614].start 26086.778
transcript.whisperx[614].end 26110.906
transcript.whisperx[614].text 然後呢你還說呢這個學生的抗議就是新五四運動啊乾脆建立個沒有學生只有爺們的國立大學還有呢你這個對他的很多的質疑都讓他在臉書上寫說你呢連續污衊跟造謠他昨天他也非常氣憤的說你要當大法官這件事情他無法認同那到現在來說你的想法應該還是一樣的對吧我跟委員報告
transcript.whisperx[615].start 26112.947
transcript.whisperx[615].end 26130.733
transcript.whisperx[615].text 法學序論的程度啊所以你現在回頭過去看當時民進黨的教育部之下做出的決定是連法學序論都沒有的程度是嗎是沒有錯好的我們接下來看你還有非常多的這些我覺得我們可以考慮的問題下一個要問的是我們現任的立委王逸傳
transcript.whisperx[616].start 26131.533
transcript.whisperx[616].end 26155.724
transcript.whisperx[616].text 那他先前呢就是有這個被傳出說是不是有監控民眾的事情呢那你在原書上是怎麼寫的你問說沒有涉及個資不可能吧還有即使不是監控個人監控各種不同群體的活動正當性基礎又是什麼法律依據何在呢交叉比對型態也無限監控類型也無限目的到是什麼很重要好所以呢
transcript.whisperx[617].start 26156.224
transcript.whisperx[617].end 26169.652
transcript.whisperx[617].text 現在立法院也立案國人通訊及隱私遭非法監控調查委員會也就是這個王逸川的這個清秒案如果有受害者或疑似受監控之人提出視線你的觀點是什麼你對王逸川當時的這個說法的觀點是什麼
transcript.whisperx[618].start 26171.653
transcript.whisperx[618].end 26193.795
transcript.whisperx[618].text 我對於這個案子我所提供的發言以及法律意見我至今沒有改變然後呢如果呢貴院在合乎憲法要求的狀況底下成立調查委員會我想我們也都尊重貴院的職權那如果有人來釋憲的話就是看
transcript.whisperx[619].start 26195.857
transcript.whisperx[619].end 26209.753
transcript.whisperx[619].text 我會從是不是呢國家的保護義務不足的這個部分呢來檢視這個問題是所以當時呢你提出了這八大的見解這是你提出的嗎是沒有錯所以呢我們從裡面可以看齁
transcript.whisperx[620].start 26210.734
transcript.whisperx[620].end 26211.795
transcript.whisperx[620].text 我剛剛已經說過了這個呢其實呢我們如果從調查權的觀點來看
transcript.whisperx[621].start 26239.548
transcript.whisperx[621].end 26243.21
transcript.whisperx[621].text 我問的是您個人的看法是您針對現在的現況是否認為我們的國家在個人資料上面的保護有所不足
transcript.whisperx[622].start 26261.658
transcript.whisperx[622].end 26275.964
transcript.whisperx[622].text 我認為是相當不足的所以這個部分就有請貴院必須要好好的保護大家我們會的因為我們看下一個問題要問你的也是一樣這個問題是很肯定因為顧立雄部長當時有高階將官的個資被外流
transcript.whisperx[623].start 26283.107
transcript.whisperx[623].end 26293.466
transcript.whisperx[623].text 國防部回應說已經風險管控將檢討疏失責任然後呢你回答說是看不懂齁你分享之後你說看不懂可不可以向我們解釋一下看不懂的原因跟理由是什麼
transcript.whisperx[624].start 26294.902
transcript.whisperx[624].end 26314.598
transcript.whisperx[624].text 我想這個部分的問題是在於當時我不是很確定這個案的情節但是我似乎回想一下就是當時國防部應該是用公文去撤回他原先所要求做的事情
transcript.whisperx[625].start 26315.439
transcript.whisperx[625].end 26315.679
transcript.whisperx[625].text 再來下一題
transcript.whisperx[626].start 26335.093
transcript.whisperx[626].end 26349.706
transcript.whisperx[626].text 下一題其實我也想問說就是說我們的民主社會上面那對於這個反滲透法來說當時在修這個反滲透法2019年的時候那您曾經說過我們國家的這個反滲透法以反叛國法的
transcript.whisperx[627].start 26350.086
transcript.whisperx[627].end 26351.007
transcript.whisperx[627].text 反滲透法的意義是什麼?
transcript.whisperx[628].start 26369.652
transcript.whisperx[628].end 26390.411
transcript.whisperx[628].text 反滲透法基本上是為了維護我們台灣的自由民主秩序而制定的它在某種意義上面的確有它的重要性我覺得我們如果要制定這樣的法律立法者有共識的話那就應該制定有效的法律
transcript.whisperx[629].start 26390.871
transcript.whisperx[629].end 26419.884
transcript.whisperx[629].text 所以你認為現行的反滲透法是無效的法律我覺得他的效能上面來說其實呢是不足以達到他要的立法目的OK那你當時還有寫說一心擁戴勒動處處反滲透法草案想趕快通過的小朋友好像是在講沈伯洋委員啦你建議他們可以考慮讀讀各國歷史免得自己未來變成當代陳文成時才後悔莫及這個部分可以解釋給我們聽是什麼意思嗎
transcript.whisperx[630].start 26421.065
transcript.whisperx[630].end 26425.453
transcript.whisperx[630].text 請問一下在哪裡在右邊這個最右邊我有幫你框起來了對這個就是
transcript.whisperx[631].start 26428.744
transcript.whisperx[631].end 26457.638
transcript.whisperx[631].text 這個就是呢我認為在立法上面呢不夠嚴謹的問題不夠嚴謹的立法容易成為執政的濫用的工具所以任何人都有可能變成受害的對象那您可以再進一步細講您覺得就是說我們反滲透法要怎麼在保護國家安全然後以及在這個避免執政黨濫用的情況之下相輔相成成為一部適用的法律就比較好的一個法律
transcript.whisperx[632].start 26458.018
transcript.whisperx[632].end 26471.083
transcript.whisperx[632].text 您的見解是什麼我覺得基本上在執行的時效上面必須要有更嚴密的管控跟管制工具的運用舉例來說
transcript.whisperx[633].start 26473.707
transcript.whisperx[633].end 26497.769
transcript.whisperx[633].text 舉例來說我覺得現在我也很難真的舉出一個例子除非有一個個案那從這個法律通過到現在其實呢在執行效果上面並不是太好這個也是事實那確實因為這個反滲透法變成是在選舉期間的時候那就有很多的包含是在地的里長然後他們出國啊他們可能到大陸去啊
transcript.whisperx[634].start 26498.109
transcript.whisperx[634].end 26503.852
transcript.whisperx[634].text 臺灣上上下下有非常多的里長只因為他們曾經去過大陸旅遊那可能有些人接受落地招待有些人根本是有付錢但是被懷疑所以就以反滲透法然後把他們送辦
transcript.whisperx[635].start 26521.28
transcript.whisperx[635].end 26536.719
transcript.whisperx[635].text 那想要請問您對於這樣的事情你覺得有沒有違反人權從一個大法官被提名人的角度來說跟人權的關聯性我想這個必須要看個案的狀況那就是要看這些里長就我剛剛講的就是去旅遊然後呢
transcript.whisperx[636].start 26537.219
transcript.whisperx[636].end 26540.963
transcript.whisperx[636].text 我剛剛講的那樣子的個案來說的話﹖他的人權有沒有被因為反受滲透法的關係﹖
transcript.whisperx[637].start 26553.015
transcript.whisperx[637].end 26554.836
transcript.whisperx[637].text 謝謝許巧欣委員的質詢也謝謝被提名人劉靜怡、劉教授的備選
transcript.whisperx[638].start 26591.701
transcript.whisperx[638].end 26618.896
transcript.whisperx[638].text 報告全院委員會.我們對大法官.提名人.劉靜怡教授.的尋答部分.到此為止.也謝謝劉備提名人.靜怡教授.練習的答詢.另外.有關各黨團.對備提名人.所提書面問題.及備提名人.的書面答覆之相關資料.我們列入公報記錄.報告全院委員會.針對司法院院長.副院長及5位大法官.被提名人之資格.
transcript.whisperx[639].start 26619.966
transcript.whisperx[639].end 26630.706
transcript.whisperx[639].text 及是否施政相關事宜均已審查完畢本案現在作以下決議提報院會以記名投票表決我們現在散會