iVOD / 16328

Field Value
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a609ff4632c59044642690a0be61fea14818a82e37f9ba35fd775cc818653d3ec8f65ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-12-02T09:00:00+08:00
會議名稱 第11屆第2會期第2次全院委員會「行使司法院院長、副院長及大法官同意權案」公聽會(事由:第11屆第2會期第2次全院委員會「行使司法院院長、副院長及大法官同意權案」公聽會)
委員名稱 完整會議
影片長度 12329
委員發言時間 08:30:30 - 11:55:59
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 327.10221875
transcript.pyannote[0].end 327.64221875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 328.50284375
transcript.pyannote[1].end 328.75596875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 329.90346875
transcript.pyannote[2].end 330.32534375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 331.75971875
transcript.pyannote[3].end 332.14784375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 332.48534375
transcript.pyannote[4].end 333.19409375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 333.90284375
transcript.pyannote[5].end 334.83096875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 335.94471875
transcript.pyannote[6].end 336.75471875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 337.31159375
transcript.pyannote[7].end 337.81784375
transcript.pyannote[8].speaker SPEAKER_09
transcript.pyannote[8].start 503.96909375
transcript.pyannote[8].end 509.03159375
transcript.pyannote[9].speaker SPEAKER_09
transcript.pyannote[9].start 512.22096875
transcript.pyannote[9].end 515.54534375
transcript.pyannote[10].speaker SPEAKER_09
transcript.pyannote[10].start 555.30284375
transcript.pyannote[10].end 555.80909375
transcript.pyannote[11].speaker SPEAKER_09
transcript.pyannote[11].start 555.97784375
transcript.pyannote[11].end 556.02846875
transcript.pyannote[12].speaker SPEAKER_09
transcript.pyannote[12].start 557.58096875
transcript.pyannote[12].end 562.17096875
transcript.pyannote[13].speaker SPEAKER_09
transcript.pyannote[13].start 564.28034375
transcript.pyannote[13].end 578.37096875
transcript.pyannote[14].speaker SPEAKER_09
transcript.pyannote[14].start 580.39596875
transcript.pyannote[14].end 581.64471875
transcript.pyannote[15].speaker SPEAKER_09
transcript.pyannote[15].start 586.30221875
transcript.pyannote[15].end 598.99221875
transcript.pyannote[16].speaker SPEAKER_08
transcript.pyannote[16].start 587.21346875
transcript.pyannote[16].end 589.15409375
transcript.pyannote[17].speaker SPEAKER_09
transcript.pyannote[17].start 602.33346875
transcript.pyannote[17].end 606.41721875
transcript.pyannote[18].speaker SPEAKER_09
transcript.pyannote[18].start 624.96284375
transcript.pyannote[18].end 625.35096875
transcript.pyannote[19].speaker SPEAKER_09
transcript.pyannote[19].start 629.26596875
transcript.pyannote[19].end 645.56721875
transcript.pyannote[20].speaker SPEAKER_09
transcript.pyannote[20].start 645.63471875
transcript.pyannote[20].end 646.42784375
transcript.pyannote[21].speaker SPEAKER_09
transcript.pyannote[21].start 646.54596875
transcript.pyannote[21].end 646.64721875
transcript.pyannote[22].speaker SPEAKER_09
transcript.pyannote[22].start 649.09409375
transcript.pyannote[22].end 649.83659375
transcript.pyannote[23].speaker SPEAKER_09
transcript.pyannote[23].start 674.96346875
transcript.pyannote[23].end 675.40221875
transcript.pyannote[24].speaker SPEAKER_09
transcript.pyannote[24].start 675.77346875
transcript.pyannote[24].end 676.16159375
transcript.pyannote[25].speaker SPEAKER_09
transcript.pyannote[25].start 676.36409375
transcript.pyannote[25].end 676.88721875
transcript.pyannote[26].speaker SPEAKER_09
transcript.pyannote[26].start 677.86596875
transcript.pyannote[26].end 678.84471875
transcript.pyannote[27].speaker SPEAKER_09
transcript.pyannote[27].start 697.89659375
transcript.pyannote[27].end 700.02284375
transcript.pyannote[28].speaker SPEAKER_09
transcript.pyannote[28].start 781.37721875
transcript.pyannote[28].end 782.03534375
transcript.pyannote[29].speaker SPEAKER_09
transcript.pyannote[29].start 788.32971875
transcript.pyannote[29].end 789.30846875
transcript.pyannote[30].speaker SPEAKER_09
transcript.pyannote[30].start 789.32534375
transcript.pyannote[30].end 797.03721875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 1771.46721875
transcript.pyannote[31].end 1781.00159375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 1781.30534375
transcript.pyannote[32].end 1795.49721875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 1796.10471875
transcript.pyannote[33].end 1805.63909375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 1806.09471875
transcript.pyannote[34].end 1814.44784375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 1814.85284375
transcript.pyannote[35].end 1815.57846875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 1816.35471875
transcript.pyannote[36].end 1827.89721875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 1828.75784375
transcript.pyannote[37].end 1841.07659375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 1841.34659375
transcript.pyannote[38].end 1856.09534375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 1856.24721875
transcript.pyannote[39].end 1858.60971875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 1859.21721875
transcript.pyannote[40].end 1863.41909375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 1864.70159375
transcript.pyannote[41].end 1880.69909375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 1881.15471875
transcript.pyannote[42].end 1891.95471875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 1892.39346875
transcript.pyannote[43].end 1896.15659375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 1896.37596875
transcript.pyannote[44].end 1908.76221875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 1908.98159375
transcript.pyannote[45].end 1913.67284375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 1915.07346875
transcript.pyannote[46].end 1927.08846875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 1928.03346875
transcript.pyannote[47].end 1942.46159375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 1943.33909375
transcript.pyannote[48].end 1947.65909375
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 1948.82346875
transcript.pyannote[49].end 1951.79346875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 1952.21534375
transcript.pyannote[50].end 1955.38784375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 1956.63659375
transcript.pyannote[51].end 1968.87096875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 1969.96784375
transcript.pyannote[52].end 1983.02909375
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 1984.59846875
transcript.pyannote[53].end 1991.14596875
transcript.pyannote[54].speaker SPEAKER_13
transcript.pyannote[54].start 1993.81221875
transcript.pyannote[54].end 1994.63909375
transcript.pyannote[55].speaker SPEAKER_13
transcript.pyannote[55].start 1995.43221875
transcript.pyannote[55].end 1997.98034375
transcript.pyannote[56].speaker SPEAKER_13
transcript.pyannote[56].start 1999.06034375
transcript.pyannote[56].end 2000.07284375
transcript.pyannote[57].speaker SPEAKER_13
transcript.pyannote[57].start 2001.38909375
transcript.pyannote[57].end 2007.22784375
transcript.pyannote[58].speaker SPEAKER_13
transcript.pyannote[58].start 2008.45971875
transcript.pyannote[58].end 2009.64096875
transcript.pyannote[59].speaker SPEAKER_13
transcript.pyannote[59].start 2010.18096875
transcript.pyannote[59].end 2012.94846875
transcript.pyannote[60].speaker SPEAKER_13
transcript.pyannote[60].start 2013.74159375
transcript.pyannote[60].end 2015.29409375
transcript.pyannote[61].speaker SPEAKER_13
transcript.pyannote[61].start 2016.20534375
transcript.pyannote[61].end 2020.22159375
transcript.pyannote[62].speaker SPEAKER_13
transcript.pyannote[62].start 2020.87971875
transcript.pyannote[62].end 2023.54596875
transcript.pyannote[63].speaker SPEAKER_13
transcript.pyannote[63].start 2024.35596875
transcript.pyannote[63].end 2026.81971875
transcript.pyannote[64].speaker SPEAKER_13
transcript.pyannote[64].start 2028.05159375
transcript.pyannote[64].end 2031.42659375
transcript.pyannote[65].speaker SPEAKER_13
transcript.pyannote[65].start 2032.67534375
transcript.pyannote[65].end 2034.09284375
transcript.pyannote[66].speaker SPEAKER_13
transcript.pyannote[66].start 2034.64971875
transcript.pyannote[66].end 2039.71221875
transcript.pyannote[67].speaker SPEAKER_13
transcript.pyannote[67].start 2040.31971875
transcript.pyannote[67].end 2042.37846875
transcript.pyannote[68].speaker SPEAKER_13
transcript.pyannote[68].start 2043.01971875
transcript.pyannote[68].end 2043.96471875
transcript.pyannote[69].speaker SPEAKER_13
transcript.pyannote[69].start 2045.01096875
transcript.pyannote[69].end 2048.06534375
transcript.pyannote[70].speaker SPEAKER_13
transcript.pyannote[70].start 2049.04409375
transcript.pyannote[70].end 2051.45721875
transcript.pyannote[71].speaker SPEAKER_13
transcript.pyannote[71].start 2052.45284375
transcript.pyannote[71].end 2054.54534375
transcript.pyannote[72].speaker SPEAKER_13
transcript.pyannote[72].start 2054.88284375
transcript.pyannote[72].end 2055.77721875
transcript.pyannote[73].speaker SPEAKER_13
transcript.pyannote[73].start 2056.38471875
transcript.pyannote[73].end 2057.53221875
transcript.pyannote[74].speaker SPEAKER_13
transcript.pyannote[74].start 2058.35909375
transcript.pyannote[74].end 2059.08471875
transcript.pyannote[75].speaker SPEAKER_13
transcript.pyannote[75].start 2059.97909375
transcript.pyannote[75].end 2060.53596875
transcript.pyannote[76].speaker SPEAKER_13
transcript.pyannote[76].start 2060.97471875
transcript.pyannote[76].end 2064.88971875
transcript.pyannote[77].speaker SPEAKER_13
transcript.pyannote[77].start 2066.00346875
transcript.pyannote[77].end 2068.46721875
transcript.pyannote[78].speaker SPEAKER_13
transcript.pyannote[78].start 2069.53034375
transcript.pyannote[78].end 2071.63971875
transcript.pyannote[79].speaker SPEAKER_13
transcript.pyannote[79].start 2072.78721875
transcript.pyannote[79].end 2075.84159375
transcript.pyannote[80].speaker SPEAKER_13
transcript.pyannote[80].start 2076.51659375
transcript.pyannote[80].end 2081.17409375
transcript.pyannote[81].speaker SPEAKER_13
transcript.pyannote[81].start 2081.83221875
transcript.pyannote[81].end 2087.16471875
transcript.pyannote[82].speaker SPEAKER_13
transcript.pyannote[82].start 2087.94096875
transcript.pyannote[82].end 2090.87721875
transcript.pyannote[83].speaker SPEAKER_13
transcript.pyannote[83].start 2091.65346875
transcript.pyannote[83].end 2092.24409375
transcript.pyannote[84].speaker SPEAKER_13
transcript.pyannote[84].start 2092.86846875
transcript.pyannote[84].end 2094.04971875
transcript.pyannote[85].speaker SPEAKER_13
transcript.pyannote[85].start 2094.47159375
transcript.pyannote[85].end 2095.87221875
transcript.pyannote[86].speaker SPEAKER_13
transcript.pyannote[86].start 2096.66534375
transcript.pyannote[86].end 2100.66471875
transcript.pyannote[87].speaker SPEAKER_13
transcript.pyannote[87].start 2101.47471875
transcript.pyannote[87].end 2102.25096875
transcript.pyannote[88].speaker SPEAKER_13
transcript.pyannote[88].start 2102.43659375
transcript.pyannote[88].end 2104.63034375
transcript.pyannote[89].speaker SPEAKER_13
transcript.pyannote[89].start 2105.35596875
transcript.pyannote[89].end 2105.81159375
transcript.pyannote[90].speaker SPEAKER_13
transcript.pyannote[90].start 2106.55409375
transcript.pyannote[90].end 2108.29221875
transcript.pyannote[91].speaker SPEAKER_13
transcript.pyannote[91].start 2108.78159375
transcript.pyannote[91].end 2109.82784375
transcript.pyannote[92].speaker SPEAKER_13
transcript.pyannote[92].start 2110.73909375
transcript.pyannote[92].end 2113.16909375
transcript.pyannote[93].speaker SPEAKER_13
transcript.pyannote[93].start 2113.74284375
transcript.pyannote[93].end 2115.97034375
transcript.pyannote[94].speaker SPEAKER_13
transcript.pyannote[94].start 2116.27409375
transcript.pyannote[94].end 2118.18096875
transcript.pyannote[95].speaker SPEAKER_13
transcript.pyannote[95].start 2118.67034375
transcript.pyannote[95].end 2120.81346875
transcript.pyannote[96].speaker SPEAKER_13
transcript.pyannote[96].start 2121.75846875
transcript.pyannote[96].end 2128.87971875
transcript.pyannote[97].speaker SPEAKER_13
transcript.pyannote[97].start 2129.65596875
transcript.pyannote[97].end 2136.08534375
transcript.pyannote[98].speaker SPEAKER_13
transcript.pyannote[98].start 2136.42284375
transcript.pyannote[98].end 2139.15659375
transcript.pyannote[99].speaker SPEAKER_13
transcript.pyannote[99].start 2139.66284375
transcript.pyannote[99].end 2142.88596875
transcript.pyannote[100].speaker SPEAKER_13
transcript.pyannote[100].start 2143.30784375
transcript.pyannote[100].end 2145.68721875
transcript.pyannote[101].speaker SPEAKER_13
transcript.pyannote[101].start 2146.04159375
transcript.pyannote[101].end 2147.30721875
transcript.pyannote[102].speaker SPEAKER_13
transcript.pyannote[102].start 2147.61096875
transcript.pyannote[102].end 2149.21409375
transcript.pyannote[103].speaker SPEAKER_13
transcript.pyannote[103].start 2149.50096875
transcript.pyannote[103].end 2150.54721875
transcript.pyannote[104].speaker SPEAKER_13
transcript.pyannote[104].start 2150.91846875
transcript.pyannote[104].end 2152.30221875
transcript.pyannote[105].speaker SPEAKER_13
transcript.pyannote[105].start 2152.92659375
transcript.pyannote[105].end 2154.14159375
transcript.pyannote[106].speaker SPEAKER_13
transcript.pyannote[106].start 2154.54659375
transcript.pyannote[106].end 2156.13284375
transcript.pyannote[107].speaker SPEAKER_13
transcript.pyannote[107].start 2156.75721875
transcript.pyannote[107].end 2157.97221875
transcript.pyannote[108].speaker SPEAKER_13
transcript.pyannote[108].start 2159.59221875
transcript.pyannote[108].end 2164.26659375
transcript.pyannote[109].speaker SPEAKER_13
transcript.pyannote[109].start 2164.97534375
transcript.pyannote[109].end 2171.42159375
transcript.pyannote[110].speaker SPEAKER_13
transcript.pyannote[110].start 2171.92784375
transcript.pyannote[110].end 2179.90971875
transcript.pyannote[111].speaker SPEAKER_13
transcript.pyannote[111].start 2180.31471875
transcript.pyannote[111].end 2181.93471875
transcript.pyannote[112].speaker SPEAKER_13
transcript.pyannote[112].start 2182.52534375
transcript.pyannote[112].end 2183.74034375
transcript.pyannote[113].speaker SPEAKER_13
transcript.pyannote[113].start 2184.80346875
transcript.pyannote[113].end 2187.06471875
transcript.pyannote[114].speaker SPEAKER_13
transcript.pyannote[114].start 2187.63846875
transcript.pyannote[114].end 2190.89534375
transcript.pyannote[115].speaker SPEAKER_13
transcript.pyannote[115].start 2191.60409375
transcript.pyannote[115].end 2196.07596875
transcript.pyannote[116].speaker SPEAKER_13
transcript.pyannote[116].start 2196.53159375
transcript.pyannote[116].end 2199.78846875
transcript.pyannote[117].speaker SPEAKER_13
transcript.pyannote[117].start 2201.05409375
transcript.pyannote[117].end 2205.54284375
transcript.pyannote[118].speaker SPEAKER_13
transcript.pyannote[118].start 2205.99846875
transcript.pyannote[118].end 2209.39034375
transcript.pyannote[119].speaker SPEAKER_13
transcript.pyannote[119].start 2209.91346875
transcript.pyannote[119].end 2211.87096875
transcript.pyannote[120].speaker SPEAKER_13
transcript.pyannote[120].start 2212.47846875
transcript.pyannote[120].end 2214.73971875
transcript.pyannote[121].speaker SPEAKER_13
transcript.pyannote[121].start 2215.88721875
transcript.pyannote[121].end 2219.51534375
transcript.pyannote[122].speaker SPEAKER_13
transcript.pyannote[122].start 2219.93721875
transcript.pyannote[122].end 2229.01596875
transcript.pyannote[123].speaker SPEAKER_13
transcript.pyannote[123].start 2229.60659375
transcript.pyannote[123].end 2230.61909375
transcript.pyannote[124].speaker SPEAKER_13
transcript.pyannote[124].start 2231.49659375
transcript.pyannote[124].end 2232.05346875
transcript.pyannote[125].speaker SPEAKER_13
transcript.pyannote[125].start 2232.50909375
transcript.pyannote[125].end 2233.94346875
transcript.pyannote[126].speaker SPEAKER_13
transcript.pyannote[126].start 2234.33159375
transcript.pyannote[126].end 2235.22596875
transcript.pyannote[127].speaker SPEAKER_13
transcript.pyannote[127].start 2236.25534375
transcript.pyannote[127].end 2237.01471875
transcript.pyannote[128].speaker SPEAKER_13
transcript.pyannote[128].start 2237.70659375
transcript.pyannote[128].end 2239.73159375
transcript.pyannote[129].speaker SPEAKER_13
transcript.pyannote[129].start 2240.01846875
transcript.pyannote[129].end 2244.22034375
transcript.pyannote[130].speaker SPEAKER_13
transcript.pyannote[130].start 2244.97971875
transcript.pyannote[130].end 2253.34971875
transcript.pyannote[131].speaker SPEAKER_13
transcript.pyannote[131].start 2254.44659375
transcript.pyannote[131].end 2254.88534375
transcript.pyannote[132].speaker SPEAKER_13
transcript.pyannote[132].start 2255.98221875
transcript.pyannote[132].end 2259.98159375
transcript.pyannote[133].speaker SPEAKER_13
transcript.pyannote[133].start 2260.55534375
transcript.pyannote[133].end 2268.21659375
transcript.pyannote[134].speaker SPEAKER_13
transcript.pyannote[134].start 2268.52034375
transcript.pyannote[134].end 2272.53659375
transcript.pyannote[135].speaker SPEAKER_13
transcript.pyannote[135].start 2273.16096875
transcript.pyannote[135].end 2275.86096875
transcript.pyannote[136].speaker SPEAKER_13
transcript.pyannote[136].start 2276.38409375
transcript.pyannote[136].end 2278.61159375
transcript.pyannote[137].speaker SPEAKER_13
transcript.pyannote[137].start 2279.21909375
transcript.pyannote[137].end 2279.62409375
transcript.pyannote[138].speaker SPEAKER_13
transcript.pyannote[138].start 2279.92784375
transcript.pyannote[138].end 2284.72034375
transcript.pyannote[139].speaker SPEAKER_13
transcript.pyannote[139].start 2285.69909375
transcript.pyannote[139].end 2288.55096875
transcript.pyannote[140].speaker SPEAKER_13
transcript.pyannote[140].start 2289.22596875
transcript.pyannote[140].end 2291.72346875
transcript.pyannote[141].speaker SPEAKER_13
transcript.pyannote[141].start 2293.63034375
transcript.pyannote[141].end 2294.55846875
transcript.pyannote[142].speaker SPEAKER_13
transcript.pyannote[142].start 2295.82409375
transcript.pyannote[142].end 2301.13971875
transcript.pyannote[143].speaker SPEAKER_13
transcript.pyannote[143].start 2301.35909375
transcript.pyannote[143].end 2303.24909375
transcript.pyannote[144].speaker SPEAKER_13
transcript.pyannote[144].start 2304.43034375
transcript.pyannote[144].end 2311.07909375
transcript.pyannote[145].speaker SPEAKER_13
transcript.pyannote[145].start 2311.21409375
transcript.pyannote[145].end 2314.45409375
transcript.pyannote[146].speaker SPEAKER_13
transcript.pyannote[146].start 2315.68596875
transcript.pyannote[146].end 2317.81221875
transcript.pyannote[147].speaker SPEAKER_13
transcript.pyannote[147].start 2318.85846875
transcript.pyannote[147].end 2320.51221875
transcript.pyannote[148].speaker SPEAKER_13
transcript.pyannote[148].start 2321.05221875
transcript.pyannote[148].end 2324.03909375
transcript.pyannote[149].speaker SPEAKER_13
transcript.pyannote[149].start 2325.00096875
transcript.pyannote[149].end 2327.14409375
transcript.pyannote[150].speaker SPEAKER_13
transcript.pyannote[150].start 2327.93721875
transcript.pyannote[150].end 2329.94534375
transcript.pyannote[151].speaker SPEAKER_13
transcript.pyannote[151].start 2330.46846875
transcript.pyannote[151].end 2332.18971875
transcript.pyannote[152].speaker SPEAKER_13
transcript.pyannote[152].start 2332.79721875
transcript.pyannote[152].end 2336.56034375
transcript.pyannote[153].speaker SPEAKER_13
transcript.pyannote[153].start 2337.60659375
transcript.pyannote[153].end 2343.71534375
transcript.pyannote[154].speaker SPEAKER_13
transcript.pyannote[154].start 2344.44096875
transcript.pyannote[154].end 2345.74034375
transcript.pyannote[155].speaker SPEAKER_13
transcript.pyannote[155].start 2346.61784375
transcript.pyannote[155].end 2347.68096875
transcript.pyannote[156].speaker SPEAKER_13
transcript.pyannote[156].start 2348.06909375
transcript.pyannote[156].end 2349.14909375
transcript.pyannote[157].speaker SPEAKER_13
transcript.pyannote[157].start 2349.70596875
transcript.pyannote[157].end 2352.10221875
transcript.pyannote[158].speaker SPEAKER_13
transcript.pyannote[158].start 2352.94596875
transcript.pyannote[158].end 2353.77284375
transcript.pyannote[159].speaker SPEAKER_13
transcript.pyannote[159].start 2354.24534375
transcript.pyannote[159].end 2355.25784375
transcript.pyannote[160].speaker SPEAKER_13
transcript.pyannote[160].start 2356.27034375
transcript.pyannote[160].end 2360.64096875
transcript.pyannote[161].speaker SPEAKER_13
transcript.pyannote[161].start 2361.06284375
transcript.pyannote[161].end 2364.53909375
transcript.pyannote[162].speaker SPEAKER_13
transcript.pyannote[162].start 2365.18034375
transcript.pyannote[162].end 2365.78784375
transcript.pyannote[163].speaker SPEAKER_13
transcript.pyannote[163].start 2366.19284375
transcript.pyannote[163].end 2372.60534375
transcript.pyannote[164].speaker SPEAKER_13
transcript.pyannote[164].start 2373.33096875
transcript.pyannote[164].end 2383.40534375
transcript.pyannote[165].speaker SPEAKER_13
transcript.pyannote[165].start 2384.01284375
transcript.pyannote[165].end 2388.06284375
transcript.pyannote[166].speaker SPEAKER_13
transcript.pyannote[166].start 2388.77159375
transcript.pyannote[166].end 2391.37034375
transcript.pyannote[167].speaker SPEAKER_13
transcript.pyannote[167].start 2391.79221875
transcript.pyannote[167].end 2392.97346875
transcript.pyannote[168].speaker SPEAKER_13
transcript.pyannote[168].start 2393.68221875
transcript.pyannote[168].end 2395.20096875
transcript.pyannote[169].speaker SPEAKER_13
transcript.pyannote[169].start 2397.41159375
transcript.pyannote[169].end 2398.30596875
transcript.pyannote[170].speaker SPEAKER_13
transcript.pyannote[170].start 2399.01471875
transcript.pyannote[170].end 2401.39409375
transcript.pyannote[171].speaker SPEAKER_13
transcript.pyannote[171].start 2402.23784375
transcript.pyannote[171].end 2404.17846875
transcript.pyannote[172].speaker SPEAKER_13
transcript.pyannote[172].start 2404.95471875
transcript.pyannote[172].end 2405.35971875
transcript.pyannote[173].speaker SPEAKER_13
transcript.pyannote[173].start 2405.78159375
transcript.pyannote[173].end 2409.71346875
transcript.pyannote[174].speaker SPEAKER_13
transcript.pyannote[174].start 2410.27034375
transcript.pyannote[174].end 2412.93659375
transcript.pyannote[175].speaker SPEAKER_13
transcript.pyannote[175].start 2413.71284375
transcript.pyannote[175].end 2414.43846875
transcript.pyannote[176].speaker SPEAKER_13
transcript.pyannote[176].start 2415.56909375
transcript.pyannote[176].end 2417.96534375
transcript.pyannote[177].speaker SPEAKER_13
transcript.pyannote[177].start 2418.20159375
transcript.pyannote[177].end 2419.73721875
transcript.pyannote[178].speaker SPEAKER_13
transcript.pyannote[178].start 2420.51346875
transcript.pyannote[178].end 2422.52159375
transcript.pyannote[179].speaker SPEAKER_13
transcript.pyannote[179].start 2423.01096875
transcript.pyannote[179].end 2425.62659375
transcript.pyannote[180].speaker SPEAKER_13
transcript.pyannote[180].start 2426.23409375
transcript.pyannote[180].end 2430.06471875
transcript.pyannote[181].speaker SPEAKER_13
transcript.pyannote[181].start 2430.94221875
transcript.pyannote[181].end 2435.85284375
transcript.pyannote[182].speaker SPEAKER_13
transcript.pyannote[182].start 2437.32096875
transcript.pyannote[182].end 2441.06721875
transcript.pyannote[183].speaker SPEAKER_13
transcript.pyannote[183].start 2441.77596875
transcript.pyannote[183].end 2448.20534375
transcript.pyannote[184].speaker SPEAKER_13
transcript.pyannote[184].start 2449.47096875
transcript.pyannote[184].end 2452.20471875
transcript.pyannote[185].speaker SPEAKER_13
transcript.pyannote[185].start 2452.93034375
transcript.pyannote[185].end 2456.03534375
transcript.pyannote[186].speaker SPEAKER_13
transcript.pyannote[186].start 2456.37284375
transcript.pyannote[186].end 2462.43096875
transcript.pyannote[187].speaker SPEAKER_13
transcript.pyannote[187].start 2463.51096875
transcript.pyannote[187].end 2464.72596875
transcript.pyannote[188].speaker SPEAKER_13
transcript.pyannote[188].start 2465.60346875
transcript.pyannote[188].end 2469.50159375
transcript.pyannote[189].speaker SPEAKER_13
transcript.pyannote[189].start 2470.14284375
transcript.pyannote[189].end 2479.59284375
transcript.pyannote[190].speaker SPEAKER_13
transcript.pyannote[190].start 2480.01471875
transcript.pyannote[190].end 2481.12846875
transcript.pyannote[191].speaker SPEAKER_13
transcript.pyannote[191].start 2481.92159375
transcript.pyannote[191].end 2484.73971875
transcript.pyannote[192].speaker SPEAKER_13
transcript.pyannote[192].start 2485.34721875
transcript.pyannote[192].end 2486.02221875
transcript.pyannote[193].speaker SPEAKER_13
transcript.pyannote[193].start 2486.69721875
transcript.pyannote[193].end 2490.67971875
transcript.pyannote[194].speaker SPEAKER_13
transcript.pyannote[194].start 2490.79784375
transcript.pyannote[194].end 2492.92409375
transcript.pyannote[195].speaker SPEAKER_13
transcript.pyannote[195].start 2493.51471875
transcript.pyannote[195].end 2496.88971875
transcript.pyannote[196].speaker SPEAKER_13
transcript.pyannote[196].start 2497.48034375
transcript.pyannote[196].end 2499.50534375
transcript.pyannote[197].speaker SPEAKER_13
transcript.pyannote[197].start 2500.21409375
transcript.pyannote[197].end 2504.92221875
transcript.pyannote[198].speaker SPEAKER_13
transcript.pyannote[198].start 2505.39471875
transcript.pyannote[198].end 2506.81221875
transcript.pyannote[199].speaker SPEAKER_13
transcript.pyannote[199].start 2507.30159375
transcript.pyannote[199].end 2513.02221875
transcript.pyannote[200].speaker SPEAKER_13
transcript.pyannote[200].start 2513.56221875
transcript.pyannote[200].end 2513.91659375
transcript.pyannote[201].speaker SPEAKER_13
transcript.pyannote[201].start 2514.74346875
transcript.pyannote[201].end 2516.56596875
transcript.pyannote[202].speaker SPEAKER_13
transcript.pyannote[202].start 2517.25784375
transcript.pyannote[202].end 2523.72096875
transcript.pyannote[203].speaker SPEAKER_13
transcript.pyannote[203].start 2524.41284375
transcript.pyannote[203].end 2526.03284375
transcript.pyannote[204].speaker SPEAKER_13
transcript.pyannote[204].start 2526.57284375
transcript.pyannote[204].end 2530.79159375
transcript.pyannote[205].speaker SPEAKER_13
transcript.pyannote[205].start 2531.75346875
transcript.pyannote[205].end 2534.62221875
transcript.pyannote[206].speaker SPEAKER_13
transcript.pyannote[206].start 2535.14534375
transcript.pyannote[206].end 2535.65159375
transcript.pyannote[207].speaker SPEAKER_13
transcript.pyannote[207].start 2536.20846875
transcript.pyannote[207].end 2539.61721875
transcript.pyannote[208].speaker SPEAKER_13
transcript.pyannote[208].start 2540.62971875
transcript.pyannote[208].end 2542.53659375
transcript.pyannote[209].speaker SPEAKER_13
transcript.pyannote[209].start 2543.05971875
transcript.pyannote[209].end 2552.05409375
transcript.pyannote[210].speaker SPEAKER_13
transcript.pyannote[210].start 2552.84721875
transcript.pyannote[210].end 2554.04534375
transcript.pyannote[211].speaker SPEAKER_13
transcript.pyannote[211].start 2555.22659375
transcript.pyannote[211].end 2556.17159375
transcript.pyannote[212].speaker SPEAKER_13
transcript.pyannote[212].start 2557.21784375
transcript.pyannote[212].end 2558.38221875
transcript.pyannote[213].speaker SPEAKER_13
transcript.pyannote[213].start 2559.24284375
transcript.pyannote[213].end 2561.30159375
transcript.pyannote[214].speaker SPEAKER_13
transcript.pyannote[214].start 2561.97659375
transcript.pyannote[214].end 2563.54596875
transcript.pyannote[215].speaker SPEAKER_13
transcript.pyannote[215].start 2564.32221875
transcript.pyannote[215].end 2566.61721875
transcript.pyannote[216].speaker SPEAKER_13
transcript.pyannote[216].start 2567.29221875
transcript.pyannote[216].end 2568.05159375
transcript.pyannote[217].speaker SPEAKER_13
transcript.pyannote[217].start 2568.43971875
transcript.pyannote[217].end 2571.46034375
transcript.pyannote[218].speaker SPEAKER_13
transcript.pyannote[218].start 2572.16909375
transcript.pyannote[218].end 2573.06346875
transcript.pyannote[219].speaker SPEAKER_13
transcript.pyannote[219].start 2574.05909375
transcript.pyannote[219].end 2579.08784375
transcript.pyannote[220].speaker SPEAKER_13
transcript.pyannote[220].start 2579.56034375
transcript.pyannote[220].end 2582.54721875
transcript.pyannote[221].speaker SPEAKER_13
transcript.pyannote[221].start 2583.13784375
transcript.pyannote[221].end 2588.52096875
transcript.pyannote[222].speaker SPEAKER_13
transcript.pyannote[222].start 2588.95971875
transcript.pyannote[222].end 2591.98034375
transcript.pyannote[223].speaker SPEAKER_13
transcript.pyannote[223].start 2592.94221875
transcript.pyannote[223].end 2606.57721875
transcript.pyannote[224].speaker SPEAKER_13
transcript.pyannote[224].start 2607.48846875
transcript.pyannote[224].end 2608.18034375
transcript.pyannote[225].speaker SPEAKER_13
transcript.pyannote[225].start 2608.82159375
transcript.pyannote[225].end 2609.98596875
transcript.pyannote[226].speaker SPEAKER_13
transcript.pyannote[226].start 2610.67784375
transcript.pyannote[226].end 2613.71534375
transcript.pyannote[227].speaker SPEAKER_13
transcript.pyannote[227].start 2614.06971875
transcript.pyannote[227].end 2615.01471875
transcript.pyannote[228].speaker SPEAKER_13
transcript.pyannote[228].start 2615.38596875
transcript.pyannote[228].end 2620.00971875
transcript.pyannote[229].speaker SPEAKER_01
transcript.pyannote[229].start 2620.65096875
transcript.pyannote[229].end 2625.03846875
transcript.pyannote[230].speaker SPEAKER_01
transcript.pyannote[230].start 2625.25784375
transcript.pyannote[230].end 2625.51096875
transcript.pyannote[231].speaker SPEAKER_01
transcript.pyannote[231].start 2625.66284375
transcript.pyannote[231].end 2630.97846875
transcript.pyannote[232].speaker SPEAKER_06
transcript.pyannote[232].start 2631.31596875
transcript.pyannote[232].end 2632.26096875
transcript.pyannote[233].speaker SPEAKER_06
transcript.pyannote[233].start 2632.78409375
transcript.pyannote[233].end 2666.04471875
transcript.pyannote[234].speaker SPEAKER_06
transcript.pyannote[234].start 2666.24721875
transcript.pyannote[234].end 2721.27659375
transcript.pyannote[235].speaker SPEAKER_06
transcript.pyannote[235].start 2721.86721875
transcript.pyannote[235].end 2722.57596875
transcript.pyannote[236].speaker SPEAKER_06
transcript.pyannote[236].start 2722.67721875
transcript.pyannote[236].end 2723.58846875
transcript.pyannote[237].speaker SPEAKER_06
transcript.pyannote[237].start 2724.33096875
transcript.pyannote[237].end 2737.61159375
transcript.pyannote[238].speaker SPEAKER_06
transcript.pyannote[238].start 2738.47221875
transcript.pyannote[238].end 2750.62221875
transcript.pyannote[239].speaker SPEAKER_06
transcript.pyannote[239].start 2752.39409375
transcript.pyannote[239].end 2797.21409375
transcript.pyannote[240].speaker SPEAKER_06
transcript.pyannote[240].start 2797.34909375
transcript.pyannote[240].end 2801.92221875
transcript.pyannote[241].speaker SPEAKER_06
transcript.pyannote[241].start 2802.83346875
transcript.pyannote[241].end 2856.66471875
transcript.pyannote[242].speaker SPEAKER_06
transcript.pyannote[242].start 2857.30596875
transcript.pyannote[242].end 2865.89534375
transcript.pyannote[243].speaker SPEAKER_06
transcript.pyannote[243].start 2866.14846875
transcript.pyannote[243].end 2894.04284375
transcript.pyannote[244].speaker SPEAKER_06
transcript.pyannote[244].start 2894.32971875
transcript.pyannote[244].end 2894.75159375
transcript.pyannote[245].speaker SPEAKER_06
transcript.pyannote[245].start 2895.30846875
transcript.pyannote[245].end 2898.66659375
transcript.pyannote[246].speaker SPEAKER_06
transcript.pyannote[246].start 2898.97034375
transcript.pyannote[246].end 2908.38659375
transcript.pyannote[247].speaker SPEAKER_06
transcript.pyannote[247].start 2908.40346875
transcript.pyannote[247].end 2927.28659375
transcript.pyannote[248].speaker SPEAKER_06
transcript.pyannote[248].start 2927.50596875
transcript.pyannote[248].end 2936.29784375
transcript.pyannote[249].speaker SPEAKER_06
transcript.pyannote[249].start 2937.58034375
transcript.pyannote[249].end 2939.99346875
transcript.pyannote[250].speaker SPEAKER_06
transcript.pyannote[250].start 2942.76096875
transcript.pyannote[250].end 3016.45409375
transcript.pyannote[251].speaker SPEAKER_06
transcript.pyannote[251].start 3016.84221875
transcript.pyannote[251].end 3040.61909375
transcript.pyannote[252].speaker SPEAKER_06
transcript.pyannote[252].start 3040.77096875
transcript.pyannote[252].end 3044.14596875
transcript.pyannote[253].speaker SPEAKER_06
transcript.pyannote[253].start 3045.07409375
transcript.pyannote[253].end 3053.27534375
transcript.pyannote[254].speaker SPEAKER_06
transcript.pyannote[254].start 3053.46096875
transcript.pyannote[254].end 3055.09784375
transcript.pyannote[255].speaker SPEAKER_06
transcript.pyannote[255].start 3055.41846875
transcript.pyannote[255].end 3060.51471875
transcript.pyannote[256].speaker SPEAKER_06
transcript.pyannote[256].start 3060.80159375
transcript.pyannote[256].end 3114.44721875
transcript.pyannote[257].speaker SPEAKER_06
transcript.pyannote[257].start 3114.49784375
transcript.pyannote[257].end 3118.21034375
transcript.pyannote[258].speaker SPEAKER_06
transcript.pyannote[258].start 3118.48034375
transcript.pyannote[258].end 3143.48909375
transcript.pyannote[259].speaker SPEAKER_06
transcript.pyannote[259].start 3143.82659375
transcript.pyannote[259].end 3156.36471875
transcript.pyannote[260].speaker SPEAKER_06
transcript.pyannote[260].start 3156.85409375
transcript.pyannote[260].end 3171.87284375
transcript.pyannote[261].speaker SPEAKER_06
transcript.pyannote[261].start 3172.48034375
transcript.pyannote[261].end 3179.73659375
transcript.pyannote[262].speaker SPEAKER_06
transcript.pyannote[262].start 3180.31034375
transcript.pyannote[262].end 3210.98909375
transcript.pyannote[263].speaker SPEAKER_06
transcript.pyannote[263].start 3211.41096875
transcript.pyannote[263].end 3233.83784375
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 3234.73221875
transcript.pyannote[264].end 3257.90159375
transcript.pyannote[265].speaker SPEAKER_15
transcript.pyannote[265].start 3262.49159375
transcript.pyannote[265].end 3263.70659375
transcript.pyannote[266].speaker SPEAKER_15
transcript.pyannote[266].start 3263.95971875
transcript.pyannote[266].end 3271.84034375
transcript.pyannote[267].speaker SPEAKER_15
transcript.pyannote[267].start 3272.29596875
transcript.pyannote[267].end 3280.81784375
transcript.pyannote[268].speaker SPEAKER_15
transcript.pyannote[268].start 3281.08784375
transcript.pyannote[268].end 3296.37659375
transcript.pyannote[269].speaker SPEAKER_15
transcript.pyannote[269].start 3296.98409375
transcript.pyannote[269].end 3338.20971875
transcript.pyannote[270].speaker SPEAKER_15
transcript.pyannote[270].start 3338.54721875
transcript.pyannote[270].end 3411.39659375
transcript.pyannote[271].speaker SPEAKER_15
transcript.pyannote[271].start 3412.17284375
transcript.pyannote[271].end 3440.30346875
transcript.pyannote[272].speaker SPEAKER_15
transcript.pyannote[272].start 3440.96159375
transcript.pyannote[272].end 3474.40784375
transcript.pyannote[273].speaker SPEAKER_08
transcript.pyannote[273].start 3453.97221875
transcript.pyannote[273].end 3454.42784375
transcript.pyannote[274].speaker SPEAKER_16
transcript.pyannote[274].start 3461.39721875
transcript.pyannote[274].end 3461.98784375
transcript.pyannote[275].speaker SPEAKER_15
transcript.pyannote[275].start 3475.11659375
transcript.pyannote[275].end 3481.88346875
transcript.pyannote[276].speaker SPEAKER_15
transcript.pyannote[276].start 3482.38971875
transcript.pyannote[276].end 3485.07284375
transcript.pyannote[277].speaker SPEAKER_15
transcript.pyannote[277].start 3485.42721875
transcript.pyannote[277].end 3496.86846875
transcript.pyannote[278].speaker SPEAKER_15
transcript.pyannote[278].start 3497.76284375
transcript.pyannote[278].end 3500.02409375
transcript.pyannote[279].speaker SPEAKER_15
transcript.pyannote[279].start 3501.01971875
transcript.pyannote[279].end 3502.82534375
transcript.pyannote[280].speaker SPEAKER_15
transcript.pyannote[280].start 3503.50034375
transcript.pyannote[280].end 3505.44096875
transcript.pyannote[281].speaker SPEAKER_15
transcript.pyannote[281].start 3506.75721875
transcript.pyannote[281].end 3517.32096875
transcript.pyannote[282].speaker SPEAKER_15
transcript.pyannote[282].start 3519.07596875
transcript.pyannote[282].end 3522.87284375
transcript.pyannote[283].speaker SPEAKER_15
transcript.pyannote[283].start 3523.51409375
transcript.pyannote[283].end 3525.45471875
transcript.pyannote[284].speaker SPEAKER_15
transcript.pyannote[284].start 3526.12971875
transcript.pyannote[284].end 3535.07346875
transcript.pyannote[285].speaker SPEAKER_15
transcript.pyannote[285].start 3535.64721875
transcript.pyannote[285].end 3536.55846875
transcript.pyannote[286].speaker SPEAKER_15
transcript.pyannote[286].start 3537.18284375
transcript.pyannote[286].end 3555.94784375
transcript.pyannote[287].speaker SPEAKER_15
transcript.pyannote[287].start 3556.04909375
transcript.pyannote[287].end 3560.47034375
transcript.pyannote[288].speaker SPEAKER_15
transcript.pyannote[288].start 3560.85846875
transcript.pyannote[288].end 3570.22409375
transcript.pyannote[289].speaker SPEAKER_15
transcript.pyannote[289].start 3570.94971875
transcript.pyannote[289].end 3581.64846875
transcript.pyannote[290].speaker SPEAKER_15
transcript.pyannote[290].start 3581.71596875
transcript.pyannote[290].end 3589.51221875
transcript.pyannote[291].speaker SPEAKER_15
transcript.pyannote[291].start 3590.23784375
transcript.pyannote[291].end 3591.04784375
transcript.pyannote[292].speaker SPEAKER_15
transcript.pyannote[292].start 3591.55409375
transcript.pyannote[292].end 3597.32534375
transcript.pyannote[293].speaker SPEAKER_15
transcript.pyannote[293].start 3598.15221875
transcript.pyannote[293].end 3608.02409375
transcript.pyannote[294].speaker SPEAKER_15
transcript.pyannote[294].start 3608.80034375
transcript.pyannote[294].end 3612.42846875
transcript.pyannote[295].speaker SPEAKER_15
transcript.pyannote[295].start 3613.35659375
transcript.pyannote[295].end 3617.17034375
transcript.pyannote[296].speaker SPEAKER_15
transcript.pyannote[296].start 3617.94659375
transcript.pyannote[296].end 3619.68471875
transcript.pyannote[297].speaker SPEAKER_15
transcript.pyannote[297].start 3620.56221875
transcript.pyannote[297].end 3622.19909375
transcript.pyannote[298].speaker SPEAKER_15
transcript.pyannote[298].start 3622.99221875
transcript.pyannote[298].end 3626.58659375
transcript.pyannote[299].speaker SPEAKER_15
transcript.pyannote[299].start 3627.56534375
transcript.pyannote[299].end 3631.10909375
transcript.pyannote[300].speaker SPEAKER_15
transcript.pyannote[300].start 3632.37471875
transcript.pyannote[300].end 3649.53659375
transcript.pyannote[301].speaker SPEAKER_15
transcript.pyannote[301].start 3650.16096875
transcript.pyannote[301].end 3655.72971875
transcript.pyannote[302].speaker SPEAKER_15
transcript.pyannote[302].start 3656.28659375
transcript.pyannote[302].end 3659.15534375
transcript.pyannote[303].speaker SPEAKER_15
transcript.pyannote[303].start 3660.35346875
transcript.pyannote[303].end 3669.55034375
transcript.pyannote[304].speaker SPEAKER_15
transcript.pyannote[304].start 3670.24221875
transcript.pyannote[304].end 3674.98409375
transcript.pyannote[305].speaker SPEAKER_15
transcript.pyannote[305].start 3675.13596875
transcript.pyannote[305].end 3679.40534375
transcript.pyannote[306].speaker SPEAKER_15
transcript.pyannote[306].start 3680.58659375
transcript.pyannote[306].end 3680.89034375
transcript.pyannote[307].speaker SPEAKER_15
transcript.pyannote[307].start 3681.49784375
transcript.pyannote[307].end 3684.04596875
transcript.pyannote[308].speaker SPEAKER_01
transcript.pyannote[308].start 3683.55659375
transcript.pyannote[308].end 3684.83909375
transcript.pyannote[309].speaker SPEAKER_15
transcript.pyannote[309].start 3684.60284375
transcript.pyannote[309].end 3687.40409375
transcript.pyannote[310].speaker SPEAKER_15
transcript.pyannote[310].start 3687.53909375
transcript.pyannote[310].end 3689.54721875
transcript.pyannote[311].speaker SPEAKER_01
transcript.pyannote[311].start 3689.54721875
transcript.pyannote[311].end 3689.63159375
transcript.pyannote[312].speaker SPEAKER_15
transcript.pyannote[312].start 3689.63159375
transcript.pyannote[312].end 3690.74534375
transcript.pyannote[313].speaker SPEAKER_15
transcript.pyannote[313].start 3692.01096875
transcript.pyannote[313].end 3696.21284375
transcript.pyannote[314].speaker SPEAKER_15
transcript.pyannote[314].start 3696.76971875
transcript.pyannote[314].end 3705.73034375
transcript.pyannote[315].speaker SPEAKER_01
transcript.pyannote[315].start 3705.52784375
transcript.pyannote[315].end 3706.30409375
transcript.pyannote[316].speaker SPEAKER_15
transcript.pyannote[316].start 3706.50659375
transcript.pyannote[316].end 3709.98284375
transcript.pyannote[317].speaker SPEAKER_15
transcript.pyannote[317].start 3710.40471875
transcript.pyannote[317].end 3714.38721875
transcript.pyannote[318].speaker SPEAKER_15
transcript.pyannote[318].start 3715.06221875
transcript.pyannote[318].end 3722.09909375
transcript.pyannote[319].speaker SPEAKER_15
transcript.pyannote[319].start 3722.75721875
transcript.pyannote[319].end 3725.32221875
transcript.pyannote[320].speaker SPEAKER_15
transcript.pyannote[320].start 3726.55409375
transcript.pyannote[320].end 3732.35909375
transcript.pyannote[321].speaker SPEAKER_15
transcript.pyannote[321].start 3732.89909375
transcript.pyannote[321].end 3734.31659375
transcript.pyannote[322].speaker SPEAKER_15
transcript.pyannote[322].start 3734.73846875
transcript.pyannote[322].end 3737.48909375
transcript.pyannote[323].speaker SPEAKER_15
transcript.pyannote[323].start 3738.02909375
transcript.pyannote[323].end 3744.32346875
transcript.pyannote[324].speaker SPEAKER_15
transcript.pyannote[324].start 3744.98159375
transcript.pyannote[324].end 3752.57534375
transcript.pyannote[325].speaker SPEAKER_15
transcript.pyannote[325].start 3753.16596875
transcript.pyannote[325].end 3757.65471875
transcript.pyannote[326].speaker SPEAKER_15
transcript.pyannote[326].start 3757.75596875
transcript.pyannote[326].end 3759.69659375
transcript.pyannote[327].speaker SPEAKER_15
transcript.pyannote[327].start 3760.40534375
transcript.pyannote[327].end 3761.68784375
transcript.pyannote[328].speaker SPEAKER_15
transcript.pyannote[328].start 3762.34596875
transcript.pyannote[328].end 3767.57721875
transcript.pyannote[329].speaker SPEAKER_15
transcript.pyannote[329].start 3767.72909375
transcript.pyannote[329].end 3802.69409375
transcript.pyannote[330].speaker SPEAKER_15
transcript.pyannote[330].start 3802.72784375
transcript.pyannote[330].end 3813.12284375
transcript.pyannote[331].speaker SPEAKER_15
transcript.pyannote[331].start 3813.42659375
transcript.pyannote[331].end 3817.93221875
transcript.pyannote[332].speaker SPEAKER_15
transcript.pyannote[332].start 3818.45534375
transcript.pyannote[332].end 3818.87721875
transcript.pyannote[333].speaker SPEAKER_15
transcript.pyannote[333].start 3819.72096875
transcript.pyannote[333].end 3820.56471875
transcript.pyannote[334].speaker SPEAKER_15
transcript.pyannote[334].start 3820.93596875
transcript.pyannote[334].end 3827.12909375
transcript.pyannote[335].speaker SPEAKER_15
transcript.pyannote[335].start 3827.48346875
transcript.pyannote[335].end 3830.45346875
transcript.pyannote[336].speaker SPEAKER_15
transcript.pyannote[336].start 3830.79096875
transcript.pyannote[336].end 3839.88659375
transcript.pyannote[337].speaker SPEAKER_15
transcript.pyannote[337].start 3840.08909375
transcript.pyannote[337].end 3858.48284375
transcript.pyannote[338].speaker SPEAKER_15
transcript.pyannote[338].start 3858.78659375
transcript.pyannote[338].end 3862.97159375
transcript.pyannote[339].speaker SPEAKER_15
transcript.pyannote[339].start 3863.07284375
transcript.pyannote[339].end 3864.40596875
transcript.pyannote[340].speaker SPEAKER_15
transcript.pyannote[340].start 3864.94596875
transcript.pyannote[340].end 3867.02159375
transcript.pyannote[341].speaker SPEAKER_01
transcript.pyannote[341].start 3867.03846875
transcript.pyannote[341].end 3882.63096875
transcript.pyannote[342].speaker SPEAKER_01
transcript.pyannote[342].start 3884.70659375
transcript.pyannote[342].end 3885.28034375
transcript.pyannote[343].speaker SPEAKER_12
transcript.pyannote[343].start 3885.28034375
transcript.pyannote[343].end 3885.49971875
transcript.pyannote[344].speaker SPEAKER_12
transcript.pyannote[344].start 3885.60096875
transcript.pyannote[344].end 3885.66846875
transcript.pyannote[345].speaker SPEAKER_01
transcript.pyannote[345].start 3885.66846875
transcript.pyannote[345].end 3885.97221875
transcript.pyannote[346].speaker SPEAKER_12
transcript.pyannote[346].start 3885.97221875
transcript.pyannote[346].end 3886.22534375
transcript.pyannote[347].speaker SPEAKER_12
transcript.pyannote[347].start 3887.42346875
transcript.pyannote[347].end 3888.31784375
transcript.pyannote[348].speaker SPEAKER_12
transcript.pyannote[348].start 3889.85346875
transcript.pyannote[348].end 3891.08534375
transcript.pyannote[349].speaker SPEAKER_12
transcript.pyannote[349].start 3891.28784375
transcript.pyannote[349].end 3894.69659375
transcript.pyannote[350].speaker SPEAKER_12
transcript.pyannote[350].start 3895.32096875
transcript.pyannote[350].end 3896.68784375
transcript.pyannote[351].speaker SPEAKER_12
transcript.pyannote[351].start 3897.91971875
transcript.pyannote[351].end 3898.54409375
transcript.pyannote[352].speaker SPEAKER_12
transcript.pyannote[352].start 3899.35409375
transcript.pyannote[352].end 3900.73784375
transcript.pyannote[353].speaker SPEAKER_12
transcript.pyannote[353].start 3901.05846875
transcript.pyannote[353].end 3916.61721875
transcript.pyannote[354].speaker SPEAKER_12
transcript.pyannote[354].start 3916.81971875
transcript.pyannote[354].end 3917.73096875
transcript.pyannote[355].speaker SPEAKER_12
transcript.pyannote[355].start 3917.95034375
transcript.pyannote[355].end 3920.21159375
transcript.pyannote[356].speaker SPEAKER_12
transcript.pyannote[356].start 3921.96659375
transcript.pyannote[356].end 3922.57409375
transcript.pyannote[357].speaker SPEAKER_12
transcript.pyannote[357].start 3923.48534375
transcript.pyannote[357].end 3924.39659375
transcript.pyannote[358].speaker SPEAKER_12
transcript.pyannote[358].start 3925.39221875
transcript.pyannote[358].end 3928.56471875
transcript.pyannote[359].speaker SPEAKER_12
transcript.pyannote[359].start 3929.10471875
transcript.pyannote[359].end 3930.48846875
transcript.pyannote[360].speaker SPEAKER_12
transcript.pyannote[360].start 3931.61909375
transcript.pyannote[360].end 3933.10409375
transcript.pyannote[361].speaker SPEAKER_12
transcript.pyannote[361].start 3933.59346875
transcript.pyannote[361].end 3934.82534375
transcript.pyannote[362].speaker SPEAKER_12
transcript.pyannote[362].start 3935.26409375
transcript.pyannote[362].end 3940.54596875
transcript.pyannote[363].speaker SPEAKER_12
transcript.pyannote[363].start 3941.11971875
transcript.pyannote[363].end 3943.53284375
transcript.pyannote[364].speaker SPEAKER_12
transcript.pyannote[364].start 3944.24159375
transcript.pyannote[364].end 3948.03846875
transcript.pyannote[365].speaker SPEAKER_12
transcript.pyannote[365].start 3948.10596875
transcript.pyannote[365].end 3949.48971875
transcript.pyannote[366].speaker SPEAKER_12
transcript.pyannote[366].start 3951.09284375
transcript.pyannote[366].end 3953.50596875
transcript.pyannote[367].speaker SPEAKER_12
transcript.pyannote[367].start 3953.57346875
transcript.pyannote[367].end 3954.67034375
transcript.pyannote[368].speaker SPEAKER_12
transcript.pyannote[368].start 3955.34534375
transcript.pyannote[368].end 3964.05284375
transcript.pyannote[369].speaker SPEAKER_12
transcript.pyannote[369].start 3964.99784375
transcript.pyannote[369].end 3967.81596875
transcript.pyannote[370].speaker SPEAKER_12
transcript.pyannote[370].start 3968.28846875
transcript.pyannote[370].end 3968.84534375
transcript.pyannote[371].speaker SPEAKER_12
transcript.pyannote[371].start 3969.45284375
transcript.pyannote[371].end 3969.99284375
transcript.pyannote[372].speaker SPEAKER_12
transcript.pyannote[372].start 3970.70159375
transcript.pyannote[372].end 3971.54534375
transcript.pyannote[373].speaker SPEAKER_12
transcript.pyannote[373].start 3971.88284375
transcript.pyannote[373].end 3977.02971875
transcript.pyannote[374].speaker SPEAKER_12
transcript.pyannote[374].start 3977.19846875
transcript.pyannote[374].end 3982.12596875
transcript.pyannote[375].speaker SPEAKER_12
transcript.pyannote[375].start 3983.15534375
transcript.pyannote[375].end 3983.66159375
transcript.pyannote[376].speaker SPEAKER_12
transcript.pyannote[376].start 3984.20159375
transcript.pyannote[376].end 3986.26034375
transcript.pyannote[377].speaker SPEAKER_12
transcript.pyannote[377].start 3986.54721875
transcript.pyannote[377].end 3987.39096875
transcript.pyannote[378].speaker SPEAKER_12
transcript.pyannote[378].start 3987.96471875
transcript.pyannote[378].end 3988.50471875
transcript.pyannote[379].speaker SPEAKER_12
transcript.pyannote[379].start 3989.01096875
transcript.pyannote[379].end 3991.23846875
transcript.pyannote[380].speaker SPEAKER_12
transcript.pyannote[380].start 3992.16659375
transcript.pyannote[380].end 3993.98909375
transcript.pyannote[381].speaker SPEAKER_12
transcript.pyannote[381].start 3994.30971875
transcript.pyannote[381].end 3996.55409375
transcript.pyannote[382].speaker SPEAKER_12
transcript.pyannote[382].start 3996.99284375
transcript.pyannote[382].end 3997.87034375
transcript.pyannote[383].speaker SPEAKER_12
transcript.pyannote[383].start 3998.51159375
transcript.pyannote[383].end 3998.81534375
transcript.pyannote[384].speaker SPEAKER_12
transcript.pyannote[384].start 3999.42284375
transcript.pyannote[384].end 4000.85721875
transcript.pyannote[385].speaker SPEAKER_12
transcript.pyannote[385].start 4001.07659375
transcript.pyannote[385].end 4002.00471875
transcript.pyannote[386].speaker SPEAKER_12
transcript.pyannote[386].start 4003.45596875
transcript.pyannote[386].end 4006.83096875
transcript.pyannote[387].speaker SPEAKER_12
transcript.pyannote[387].start 4007.43846875
transcript.pyannote[387].end 4009.73346875
transcript.pyannote[388].speaker SPEAKER_12
transcript.pyannote[388].start 4010.08784375
transcript.pyannote[388].end 4012.46721875
transcript.pyannote[389].speaker SPEAKER_12
transcript.pyannote[389].start 4013.47971875
transcript.pyannote[389].end 4014.55971875
transcript.pyannote[390].speaker SPEAKER_12
transcript.pyannote[390].start 4015.31909375
transcript.pyannote[390].end 4016.04471875
transcript.pyannote[391].speaker SPEAKER_12
transcript.pyannote[391].start 4016.58471875
transcript.pyannote[391].end 4017.41159375
transcript.pyannote[392].speaker SPEAKER_12
transcript.pyannote[392].start 4018.33971875
transcript.pyannote[392].end 4018.69409375
transcript.pyannote[393].speaker SPEAKER_12
transcript.pyannote[393].start 4019.14971875
transcript.pyannote[393].end 4021.88346875
transcript.pyannote[394].speaker SPEAKER_12
transcript.pyannote[394].start 4021.96784375
transcript.pyannote[394].end 4022.72721875
transcript.pyannote[395].speaker SPEAKER_12
transcript.pyannote[395].start 4023.45284375
transcript.pyannote[395].end 4027.04721875
transcript.pyannote[396].speaker SPEAKER_12
transcript.pyannote[396].start 4027.45221875
transcript.pyannote[396].end 4028.68409375
transcript.pyannote[397].speaker SPEAKER_12
transcript.pyannote[397].start 4029.13971875
transcript.pyannote[397].end 4029.66284375
transcript.pyannote[398].speaker SPEAKER_12
transcript.pyannote[398].start 4030.99596875
transcript.pyannote[398].end 4032.39659375
transcript.pyannote[399].speaker SPEAKER_12
transcript.pyannote[399].start 4032.73409375
transcript.pyannote[399].end 4033.45971875
transcript.pyannote[400].speaker SPEAKER_12
transcript.pyannote[400].start 4034.70846875
transcript.pyannote[400].end 4036.34534375
transcript.pyannote[401].speaker SPEAKER_12
transcript.pyannote[401].start 4036.59846875
transcript.pyannote[401].end 4037.47596875
transcript.pyannote[402].speaker SPEAKER_12
transcript.pyannote[402].start 4038.57284375
transcript.pyannote[402].end 4039.28159375
transcript.pyannote[403].speaker SPEAKER_12
transcript.pyannote[403].start 4039.72034375
transcript.pyannote[403].end 4041.13784375
transcript.pyannote[404].speaker SPEAKER_12
transcript.pyannote[404].start 4041.37409375
transcript.pyannote[404].end 4043.63534375
transcript.pyannote[405].speaker SPEAKER_12
transcript.pyannote[405].start 4044.91784375
transcript.pyannote[405].end 4047.73596875
transcript.pyannote[406].speaker SPEAKER_12
transcript.pyannote[406].start 4048.22534375
transcript.pyannote[406].end 4049.45721875
transcript.pyannote[407].speaker SPEAKER_12
transcript.pyannote[407].start 4050.48659375
transcript.pyannote[407].end 4054.06409375
transcript.pyannote[408].speaker SPEAKER_12
transcript.pyannote[408].start 4055.43096875
transcript.pyannote[408].end 4059.95346875
transcript.pyannote[409].speaker SPEAKER_12
transcript.pyannote[409].start 4061.55659375
transcript.pyannote[409].end 4065.70784375
transcript.pyannote[410].speaker SPEAKER_12
transcript.pyannote[410].start 4066.11284375
transcript.pyannote[410].end 4067.85096875
transcript.pyannote[411].speaker SPEAKER_12
transcript.pyannote[411].start 4068.66096875
transcript.pyannote[411].end 4072.33971875
transcript.pyannote[412].speaker SPEAKER_12
transcript.pyannote[412].start 4072.77846875
transcript.pyannote[412].end 4073.97659375
transcript.pyannote[413].speaker SPEAKER_12
transcript.pyannote[413].start 4074.48284375
transcript.pyannote[413].end 4074.90471875
transcript.pyannote[414].speaker SPEAKER_12
transcript.pyannote[414].start 4075.41096875
transcript.pyannote[414].end 4076.10284375
transcript.pyannote[415].speaker SPEAKER_12
transcript.pyannote[415].start 4076.11971875
transcript.pyannote[415].end 4077.46971875
transcript.pyannote[416].speaker SPEAKER_12
transcript.pyannote[416].start 4078.02659375
transcript.pyannote[416].end 4078.43159375
transcript.pyannote[417].speaker SPEAKER_12
transcript.pyannote[417].start 4079.44409375
transcript.pyannote[417].end 4080.55784375
transcript.pyannote[418].speaker SPEAKER_12
transcript.pyannote[418].start 4080.79409375
transcript.pyannote[418].end 4081.89096875
transcript.pyannote[419].speaker SPEAKER_12
transcript.pyannote[419].start 4082.12721875
transcript.pyannote[419].end 4084.54034375
transcript.pyannote[420].speaker SPEAKER_12
transcript.pyannote[420].start 4084.77659375
transcript.pyannote[420].end 4085.38409375
transcript.pyannote[421].speaker SPEAKER_12
transcript.pyannote[421].start 4089.83909375
transcript.pyannote[421].end 4090.24409375
transcript.pyannote[422].speaker SPEAKER_12
transcript.pyannote[422].start 4091.34096875
transcript.pyannote[422].end 4092.74159375
transcript.pyannote[423].speaker SPEAKER_12
transcript.pyannote[423].start 4093.61909375
transcript.pyannote[423].end 4095.77909375
transcript.pyannote[424].speaker SPEAKER_12
transcript.pyannote[424].start 4096.38659375
transcript.pyannote[424].end 4097.23034375
transcript.pyannote[425].speaker SPEAKER_12
transcript.pyannote[425].start 4097.50034375
transcript.pyannote[425].end 4098.10784375
transcript.pyannote[426].speaker SPEAKER_12
transcript.pyannote[426].start 4099.13721875
transcript.pyannote[426].end 4099.69409375
transcript.pyannote[427].speaker SPEAKER_12
transcript.pyannote[427].start 4101.09471875
transcript.pyannote[427].end 4101.48284375
transcript.pyannote[428].speaker SPEAKER_12
transcript.pyannote[428].start 4103.32221875
transcript.pyannote[428].end 4106.98409375
transcript.pyannote[429].speaker SPEAKER_12
transcript.pyannote[429].start 4107.25409375
transcript.pyannote[429].end 4107.59159375
transcript.pyannote[430].speaker SPEAKER_12
transcript.pyannote[430].start 4108.26659375
transcript.pyannote[430].end 4109.02596875
transcript.pyannote[431].speaker SPEAKER_12
transcript.pyannote[431].start 4109.27909375
transcript.pyannote[431].end 4112.28284375
transcript.pyannote[432].speaker SPEAKER_12
transcript.pyannote[432].start 4112.90721875
transcript.pyannote[432].end 4113.56534375
transcript.pyannote[433].speaker SPEAKER_12
transcript.pyannote[433].start 4115.30346875
transcript.pyannote[433].end 4120.23096875
transcript.pyannote[434].speaker SPEAKER_12
transcript.pyannote[434].start 4120.65284375
transcript.pyannote[434].end 4121.05784375
transcript.pyannote[435].speaker SPEAKER_12
transcript.pyannote[435].start 4121.66534375
transcript.pyannote[435].end 4122.12096875
transcript.pyannote[436].speaker SPEAKER_12
transcript.pyannote[436].start 4125.19221875
transcript.pyannote[436].end 4126.33971875
transcript.pyannote[437].speaker SPEAKER_12
transcript.pyannote[437].start 4126.99784375
transcript.pyannote[437].end 4127.68971875
transcript.pyannote[438].speaker SPEAKER_12
transcript.pyannote[438].start 4128.66846875
transcript.pyannote[438].end 4129.27596875
transcript.pyannote[439].speaker SPEAKER_12
transcript.pyannote[439].start 4129.71471875
transcript.pyannote[439].end 4132.39784375
transcript.pyannote[440].speaker SPEAKER_12
transcript.pyannote[440].start 4132.95471875
transcript.pyannote[440].end 4134.35534375
transcript.pyannote[441].speaker SPEAKER_12
transcript.pyannote[441].start 4134.60846875
transcript.pyannote[441].end 4135.53659375
transcript.pyannote[442].speaker SPEAKER_12
transcript.pyannote[442].start 4136.24534375
transcript.pyannote[442].end 4137.27471875
transcript.pyannote[443].speaker SPEAKER_12
transcript.pyannote[443].start 4138.35471875
transcript.pyannote[443].end 4138.97909375
transcript.pyannote[444].speaker SPEAKER_12
transcript.pyannote[444].start 4139.58659375
transcript.pyannote[444].end 4143.83909375
transcript.pyannote[445].speaker SPEAKER_12
transcript.pyannote[445].start 4144.12596875
transcript.pyannote[445].end 4145.03721875
transcript.pyannote[446].speaker SPEAKER_12
transcript.pyannote[446].start 4145.30721875
transcript.pyannote[446].end 4146.31971875
transcript.pyannote[447].speaker SPEAKER_12
transcript.pyannote[447].start 4147.65284375
transcript.pyannote[447].end 4149.05346875
transcript.pyannote[448].speaker SPEAKER_12
transcript.pyannote[448].start 4149.25596875
transcript.pyannote[448].end 4150.63971875
transcript.pyannote[449].speaker SPEAKER_12
transcript.pyannote[449].start 4150.94346875
transcript.pyannote[449].end 4152.05721875
transcript.pyannote[450].speaker SPEAKER_12
transcript.pyannote[450].start 4153.12034375
transcript.pyannote[450].end 4154.20034375
transcript.pyannote[451].speaker SPEAKER_12
transcript.pyannote[451].start 4155.19596875
transcript.pyannote[451].end 4155.63471875
transcript.pyannote[452].speaker SPEAKER_12
transcript.pyannote[452].start 4156.25909375
transcript.pyannote[452].end 4156.86659375
transcript.pyannote[453].speaker SPEAKER_12
transcript.pyannote[453].start 4157.76096875
transcript.pyannote[453].end 4158.19971875
transcript.pyannote[454].speaker SPEAKER_12
transcript.pyannote[454].start 4159.41471875
transcript.pyannote[454].end 4159.92096875
transcript.pyannote[455].speaker SPEAKER_12
transcript.pyannote[455].start 4160.76471875
transcript.pyannote[455].end 4161.81096875
transcript.pyannote[456].speaker SPEAKER_12
transcript.pyannote[456].start 4162.51971875
transcript.pyannote[456].end 4163.19471875
transcript.pyannote[457].speaker SPEAKER_12
transcript.pyannote[457].start 4163.56596875
transcript.pyannote[457].end 4164.03846875
transcript.pyannote[458].speaker SPEAKER_12
transcript.pyannote[458].start 4164.32534375
transcript.pyannote[458].end 4166.11409375
transcript.pyannote[459].speaker SPEAKER_12
transcript.pyannote[459].start 4166.46846875
transcript.pyannote[459].end 4169.59034375
transcript.pyannote[460].speaker SPEAKER_12
transcript.pyannote[460].start 4170.31596875
transcript.pyannote[460].end 4176.27284375
transcript.pyannote[461].speaker SPEAKER_12
transcript.pyannote[461].start 4176.76221875
transcript.pyannote[461].end 4178.26409375
transcript.pyannote[462].speaker SPEAKER_12
transcript.pyannote[462].start 4178.60159375
transcript.pyannote[462].end 4179.12471875
transcript.pyannote[463].speaker SPEAKER_12
transcript.pyannote[463].start 4179.63096875
transcript.pyannote[463].end 4184.76096875
transcript.pyannote[464].speaker SPEAKER_12
transcript.pyannote[464].start 4185.70596875
transcript.pyannote[464].end 4187.51159375
transcript.pyannote[465].speaker SPEAKER_12
transcript.pyannote[465].start 4187.68034375
transcript.pyannote[465].end 4188.06846875
transcript.pyannote[466].speaker SPEAKER_12
transcript.pyannote[466].start 4188.94596875
transcript.pyannote[466].end 4190.54909375
transcript.pyannote[467].speaker SPEAKER_12
transcript.pyannote[467].start 4192.87784375
transcript.pyannote[467].end 4193.46846875
transcript.pyannote[468].speaker SPEAKER_12
transcript.pyannote[468].start 4193.60346875
transcript.pyannote[468].end 4193.99159375
transcript.pyannote[469].speaker SPEAKER_12
transcript.pyannote[469].start 4194.37971875
transcript.pyannote[469].end 4195.17284375
transcript.pyannote[470].speaker SPEAKER_12
transcript.pyannote[470].start 4195.40909375
transcript.pyannote[470].end 4196.08409375
transcript.pyannote[471].speaker SPEAKER_12
transcript.pyannote[471].start 4196.42159375
transcript.pyannote[471].end 4198.21034375
transcript.pyannote[472].speaker SPEAKER_12
transcript.pyannote[472].start 4198.64909375
transcript.pyannote[472].end 4199.49284375
transcript.pyannote[473].speaker SPEAKER_12
transcript.pyannote[473].start 4200.03284375
transcript.pyannote[473].end 4202.90159375
transcript.pyannote[474].speaker SPEAKER_12
transcript.pyannote[474].start 4203.01971875
transcript.pyannote[474].end 4203.03659375
transcript.pyannote[475].speaker SPEAKER_12
transcript.pyannote[475].start 4203.05346875
transcript.pyannote[475].end 4205.85471875
transcript.pyannote[476].speaker SPEAKER_12
transcript.pyannote[476].start 4207.81221875
transcript.pyannote[476].end 4209.26346875
transcript.pyannote[477].speaker SPEAKER_12
transcript.pyannote[477].start 4210.24221875
transcript.pyannote[477].end 4213.44846875
transcript.pyannote[478].speaker SPEAKER_12
transcript.pyannote[478].start 4216.04721875
transcript.pyannote[478].end 4217.04284375
transcript.pyannote[479].speaker SPEAKER_12
transcript.pyannote[479].start 4217.32971875
transcript.pyannote[479].end 4219.89471875
transcript.pyannote[480].speaker SPEAKER_12
transcript.pyannote[480].start 4219.94534375
transcript.pyannote[480].end 4221.07596875
transcript.pyannote[481].speaker SPEAKER_12
transcript.pyannote[481].start 4222.03784375
transcript.pyannote[481].end 4224.24846875
transcript.pyannote[482].speaker SPEAKER_12
transcript.pyannote[482].start 4225.78409375
transcript.pyannote[482].end 4226.91471875
transcript.pyannote[483].speaker SPEAKER_12
transcript.pyannote[483].start 4228.34909375
transcript.pyannote[483].end 4239.57096875
transcript.pyannote[484].speaker SPEAKER_12
transcript.pyannote[484].start 4239.67221875
transcript.pyannote[484].end 4240.68471875
transcript.pyannote[485].speaker SPEAKER_12
transcript.pyannote[485].start 4242.45659375
transcript.pyannote[485].end 4244.44784375
transcript.pyannote[486].speaker SPEAKER_12
transcript.pyannote[486].start 4244.75159375
transcript.pyannote[486].end 4246.89471875
transcript.pyannote[487].speaker SPEAKER_12
transcript.pyannote[487].start 4246.96221875
transcript.pyannote[487].end 4247.02971875
transcript.pyannote[488].speaker SPEAKER_12
transcript.pyannote[488].start 4247.08034375
transcript.pyannote[488].end 4252.39596875
transcript.pyannote[489].speaker SPEAKER_12
transcript.pyannote[489].start 4252.66596875
transcript.pyannote[489].end 4254.80909375
transcript.pyannote[490].speaker SPEAKER_12
transcript.pyannote[490].start 4255.01159375
transcript.pyannote[490].end 4256.56409375
transcript.pyannote[491].speaker SPEAKER_12
transcript.pyannote[491].start 4260.05721875
transcript.pyannote[491].end 4261.23846875
transcript.pyannote[492].speaker SPEAKER_12
transcript.pyannote[492].start 4261.69409375
transcript.pyannote[492].end 4262.57159375
transcript.pyannote[493].speaker SPEAKER_12
transcript.pyannote[493].start 4262.79096875
transcript.pyannote[493].end 4263.75284375
transcript.pyannote[494].speaker SPEAKER_12
transcript.pyannote[494].start 4264.69784375
transcript.pyannote[494].end 4266.03096875
transcript.pyannote[495].speaker SPEAKER_12
transcript.pyannote[495].start 4266.31784375
transcript.pyannote[495].end 4267.61721875
transcript.pyannote[496].speaker SPEAKER_12
transcript.pyannote[496].start 4269.18659375
transcript.pyannote[496].end 4269.96284375
transcript.pyannote[497].speaker SPEAKER_12
transcript.pyannote[497].start 4270.28346875
transcript.pyannote[497].end 4271.43096875
transcript.pyannote[498].speaker SPEAKER_12
transcript.pyannote[498].start 4272.15659375
transcript.pyannote[498].end 4273.13534375
transcript.pyannote[499].speaker SPEAKER_12
transcript.pyannote[499].start 4273.43909375
transcript.pyannote[499].end 4274.58659375
transcript.pyannote[500].speaker SPEAKER_12
transcript.pyannote[500].start 4275.05909375
transcript.pyannote[500].end 4276.10534375
transcript.pyannote[501].speaker SPEAKER_12
transcript.pyannote[501].start 4276.99971875
transcript.pyannote[501].end 4279.32846875
transcript.pyannote[502].speaker SPEAKER_12
transcript.pyannote[502].start 4280.32409375
transcript.pyannote[502].end 4281.01596875
transcript.pyannote[503].speaker SPEAKER_12
transcript.pyannote[503].start 4281.42096875
transcript.pyannote[503].end 4282.21409375
transcript.pyannote[504].speaker SPEAKER_12
transcript.pyannote[504].start 4284.10409375
transcript.pyannote[504].end 4285.28534375
transcript.pyannote[505].speaker SPEAKER_12
transcript.pyannote[505].start 4285.52159375
transcript.pyannote[505].end 4286.97284375
transcript.pyannote[506].speaker SPEAKER_12
transcript.pyannote[506].start 4288.15409375
transcript.pyannote[506].end 4290.26346875
transcript.pyannote[507].speaker SPEAKER_12
transcript.pyannote[507].start 4290.60096875
transcript.pyannote[507].end 4291.24221875
transcript.pyannote[508].speaker SPEAKER_12
transcript.pyannote[508].start 4291.57971875
transcript.pyannote[508].end 4297.70534375
transcript.pyannote[509].speaker SPEAKER_12
transcript.pyannote[509].start 4300.13534375
transcript.pyannote[509].end 4300.69221875
transcript.pyannote[510].speaker SPEAKER_12
transcript.pyannote[510].start 4300.79346875
transcript.pyannote[510].end 4302.86909375
transcript.pyannote[511].speaker SPEAKER_12
transcript.pyannote[511].start 4303.30784375
transcript.pyannote[511].end 4305.58596875
transcript.pyannote[512].speaker SPEAKER_12
transcript.pyannote[512].start 4306.00784375
transcript.pyannote[512].end 4307.50971875
transcript.pyannote[513].speaker SPEAKER_12
transcript.pyannote[513].start 4308.50534375
transcript.pyannote[513].end 4310.63159375
transcript.pyannote[514].speaker SPEAKER_12
transcript.pyannote[514].start 4312.01534375
transcript.pyannote[514].end 4313.02784375
transcript.pyannote[515].speaker SPEAKER_12
transcript.pyannote[515].start 4313.39909375
transcript.pyannote[515].end 4314.58034375
transcript.pyannote[516].speaker SPEAKER_12
transcript.pyannote[516].start 4315.22159375
transcript.pyannote[516].end 4317.34784375
transcript.pyannote[517].speaker SPEAKER_12
transcript.pyannote[517].start 4318.07346875
transcript.pyannote[517].end 4318.30971875
transcript.pyannote[518].speaker SPEAKER_12
transcript.pyannote[518].start 4318.68096875
transcript.pyannote[518].end 4323.03471875
transcript.pyannote[519].speaker SPEAKER_12
transcript.pyannote[519].start 4323.87846875
transcript.pyannote[519].end 4327.23659375
transcript.pyannote[520].speaker SPEAKER_12
transcript.pyannote[520].start 4328.26596875
transcript.pyannote[520].end 4328.67096875
transcript.pyannote[521].speaker SPEAKER_12
transcript.pyannote[521].start 4330.10534375
transcript.pyannote[521].end 4334.03721875
transcript.pyannote[522].speaker SPEAKER_12
transcript.pyannote[522].start 4334.20596875
transcript.pyannote[522].end 4335.99471875
transcript.pyannote[523].speaker SPEAKER_12
transcript.pyannote[523].start 4338.17159375
transcript.pyannote[523].end 4339.25159375
transcript.pyannote[524].speaker SPEAKER_12
transcript.pyannote[524].start 4339.40346875
transcript.pyannote[524].end 4343.25096875
transcript.pyannote[525].speaker SPEAKER_12
transcript.pyannote[525].start 4343.60534375
transcript.pyannote[525].end 4345.39409375
transcript.pyannote[526].speaker SPEAKER_12
transcript.pyannote[526].start 4347.26721875
transcript.pyannote[526].end 4348.41471875
transcript.pyannote[527].speaker SPEAKER_12
transcript.pyannote[527].start 4349.32596875
transcript.pyannote[527].end 4349.74784375
transcript.pyannote[528].speaker SPEAKER_12
transcript.pyannote[528].start 4350.20346875
transcript.pyannote[528].end 4351.24971875
transcript.pyannote[529].speaker SPEAKER_12
transcript.pyannote[529].start 4351.31721875
transcript.pyannote[529].end 4357.40909375
transcript.pyannote[530].speaker SPEAKER_12
transcript.pyannote[530].start 4359.88971875
transcript.pyannote[530].end 4361.03721875
transcript.pyannote[531].speaker SPEAKER_12
transcript.pyannote[531].start 4361.27346875
transcript.pyannote[531].end 4365.17159375
transcript.pyannote[532].speaker SPEAKER_12
transcript.pyannote[532].start 4365.66096875
transcript.pyannote[532].end 4366.55534375
transcript.pyannote[533].speaker SPEAKER_12
transcript.pyannote[533].start 4367.33159375
transcript.pyannote[533].end 4368.04034375
transcript.pyannote[534].speaker SPEAKER_12
transcript.pyannote[534].start 4368.64784375
transcript.pyannote[534].end 4370.03159375
transcript.pyannote[535].speaker SPEAKER_12
transcript.pyannote[535].start 4371.21284375
transcript.pyannote[535].end 4372.10721875
transcript.pyannote[536].speaker SPEAKER_12
transcript.pyannote[536].start 4372.90034375
transcript.pyannote[536].end 4373.99721875
transcript.pyannote[537].speaker SPEAKER_12
transcript.pyannote[537].start 4374.23346875
transcript.pyannote[537].end 4375.65096875
transcript.pyannote[538].speaker SPEAKER_12
transcript.pyannote[538].start 4376.44409375
transcript.pyannote[538].end 4381.81034375
transcript.pyannote[539].speaker SPEAKER_12
transcript.pyannote[539].start 4383.53159375
transcript.pyannote[539].end 4384.66221875
transcript.pyannote[540].speaker SPEAKER_12
transcript.pyannote[540].start 4385.28659375
transcript.pyannote[540].end 4388.83034375
transcript.pyannote[541].speaker SPEAKER_12
transcript.pyannote[541].start 4389.50534375
transcript.pyannote[541].end 4391.46284375
transcript.pyannote[542].speaker SPEAKER_12
transcript.pyannote[542].start 4392.39096875
transcript.pyannote[542].end 4395.44534375
transcript.pyannote[543].speaker SPEAKER_12
transcript.pyannote[543].start 4396.03596875
transcript.pyannote[543].end 4398.02721875
transcript.pyannote[544].speaker SPEAKER_12
transcript.pyannote[544].start 4398.17909375
transcript.pyannote[544].end 4399.57971875
transcript.pyannote[545].speaker SPEAKER_12
transcript.pyannote[545].start 4399.81596875
transcript.pyannote[545].end 4400.37284375
transcript.pyannote[546].speaker SPEAKER_12
transcript.pyannote[546].start 4400.49096875
transcript.pyannote[546].end 4401.08159375
transcript.pyannote[547].speaker SPEAKER_12
transcript.pyannote[547].start 4401.28409375
transcript.pyannote[547].end 4402.07721875
transcript.pyannote[548].speaker SPEAKER_12
transcript.pyannote[548].start 4402.78596875
transcript.pyannote[548].end 4403.64659375
transcript.pyannote[549].speaker SPEAKER_12
transcript.pyannote[549].start 4404.81096875
transcript.pyannote[549].end 4405.36784375
transcript.pyannote[550].speaker SPEAKER_12
transcript.pyannote[550].start 4406.02596875
transcript.pyannote[550].end 4406.75159375
transcript.pyannote[551].speaker SPEAKER_12
transcript.pyannote[551].start 4409.50221875
transcript.pyannote[551].end 4410.56534375
transcript.pyannote[552].speaker SPEAKER_12
transcript.pyannote[552].start 4410.81846875
transcript.pyannote[552].end 4413.28221875
transcript.pyannote[553].speaker SPEAKER_12
transcript.pyannote[553].start 4413.70409375
transcript.pyannote[553].end 4416.99471875
transcript.pyannote[554].speaker SPEAKER_12
transcript.pyannote[554].start 4417.33221875
transcript.pyannote[554].end 4418.49659375
transcript.pyannote[555].speaker SPEAKER_12
transcript.pyannote[555].start 4419.96471875
transcript.pyannote[555].end 4421.02784375
transcript.pyannote[556].speaker SPEAKER_12
transcript.pyannote[556].start 4423.05284375
transcript.pyannote[556].end 4424.01471875
transcript.pyannote[557].speaker SPEAKER_12
transcript.pyannote[557].start 4424.26784375
transcript.pyannote[557].end 4425.21284375
transcript.pyannote[558].speaker SPEAKER_12
transcript.pyannote[558].start 4426.20846875
transcript.pyannote[558].end 4426.86659375
transcript.pyannote[559].speaker SPEAKER_12
transcript.pyannote[559].start 4427.62596875
transcript.pyannote[559].end 4428.25034375
transcript.pyannote[560].speaker SPEAKER_12
transcript.pyannote[560].start 4428.82409375
transcript.pyannote[560].end 4431.47346875
transcript.pyannote[561].speaker SPEAKER_12
transcript.pyannote[561].start 4432.06409375
transcript.pyannote[561].end 4432.84034375
transcript.pyannote[562].speaker SPEAKER_12
transcript.pyannote[562].start 4433.65034375
transcript.pyannote[562].end 4435.15221875
transcript.pyannote[563].speaker SPEAKER_12
transcript.pyannote[563].start 4435.75971875
transcript.pyannote[563].end 4436.75534375
transcript.pyannote[564].speaker SPEAKER_12
transcript.pyannote[564].start 4437.24471875
transcript.pyannote[564].end 4439.25284375
transcript.pyannote[565].speaker SPEAKER_12
transcript.pyannote[565].start 4439.50596875
transcript.pyannote[565].end 4442.72909375
transcript.pyannote[566].speaker SPEAKER_12
transcript.pyannote[566].start 4443.45471875
transcript.pyannote[566].end 4443.94409375
transcript.pyannote[567].speaker SPEAKER_12
transcript.pyannote[567].start 4444.61909375
transcript.pyannote[567].end 4445.86784375
transcript.pyannote[568].speaker SPEAKER_12
transcript.pyannote[568].start 4446.17159375
transcript.pyannote[568].end 4447.69034375
transcript.pyannote[569].speaker SPEAKER_12
transcript.pyannote[569].start 4448.02784375
transcript.pyannote[569].end 4449.12471875
transcript.pyannote[570].speaker SPEAKER_12
transcript.pyannote[570].start 4449.31034375
transcript.pyannote[570].end 4451.62221875
transcript.pyannote[571].speaker SPEAKER_12
transcript.pyannote[571].start 4452.60096875
transcript.pyannote[571].end 4454.42346875
transcript.pyannote[572].speaker SPEAKER_12
transcript.pyannote[572].start 4454.74409375
transcript.pyannote[572].end 4455.62159375
transcript.pyannote[573].speaker SPEAKER_12
transcript.pyannote[573].start 4459.85721875
transcript.pyannote[573].end 4461.15659375
transcript.pyannote[574].speaker SPEAKER_12
transcript.pyannote[574].start 4463.02971875
transcript.pyannote[574].end 4464.29534375
transcript.pyannote[575].speaker SPEAKER_12
transcript.pyannote[575].start 4465.30784375
transcript.pyannote[575].end 4466.80971875
transcript.pyannote[576].speaker SPEAKER_12
transcript.pyannote[576].start 4467.28221875
transcript.pyannote[576].end 4471.26471875
transcript.pyannote[577].speaker SPEAKER_12
transcript.pyannote[577].start 4472.59784375
transcript.pyannote[577].end 4474.28534375
transcript.pyannote[578].speaker SPEAKER_12
transcript.pyannote[578].start 4474.50471875
transcript.pyannote[578].end 4481.94659375
transcript.pyannote[579].speaker SPEAKER_12
transcript.pyannote[579].start 4482.48659375
transcript.pyannote[579].end 4485.06846875
transcript.pyannote[580].speaker SPEAKER_12
transcript.pyannote[580].start 4485.74346875
transcript.pyannote[580].end 4488.52784375
transcript.pyannote[581].speaker SPEAKER_12
transcript.pyannote[581].start 4489.00034375
transcript.pyannote[581].end 4491.37971875
transcript.pyannote[582].speaker SPEAKER_01
transcript.pyannote[582].start 4494.95721875
transcript.pyannote[582].end 4496.93159375
transcript.pyannote[583].speaker SPEAKER_01
transcript.pyannote[583].start 4497.37034375
transcript.pyannote[583].end 4499.05784375
transcript.pyannote[584].speaker SPEAKER_01
transcript.pyannote[584].start 4500.52596875
transcript.pyannote[584].end 4504.33971875
transcript.pyannote[585].speaker SPEAKER_01
transcript.pyannote[585].start 4505.28471875
transcript.pyannote[585].end 4508.01846875
transcript.pyannote[586].speaker SPEAKER_01
transcript.pyannote[586].start 4508.59221875
transcript.pyannote[586].end 4509.85784375
transcript.pyannote[587].speaker SPEAKER_04
transcript.pyannote[587].start 4510.58346875
transcript.pyannote[587].end 4510.85346875
transcript.pyannote[588].speaker SPEAKER_04
transcript.pyannote[588].start 4511.27534375
transcript.pyannote[588].end 4586.36909375
transcript.pyannote[589].speaker SPEAKER_04
transcript.pyannote[589].start 4586.87534375
transcript.pyannote[589].end 4591.93784375
transcript.pyannote[590].speaker SPEAKER_04
transcript.pyannote[590].start 4592.57909375
transcript.pyannote[590].end 4603.14284375
transcript.pyannote[591].speaker SPEAKER_04
transcript.pyannote[591].start 4603.81784375
transcript.pyannote[591].end 4605.79221875
transcript.pyannote[592].speaker SPEAKER_04
transcript.pyannote[592].start 4606.28159375
transcript.pyannote[592].end 4613.26784375
transcript.pyannote[593].speaker SPEAKER_04
transcript.pyannote[593].start 4613.95971875
transcript.pyannote[593].end 4624.91159375
transcript.pyannote[594].speaker SPEAKER_04
transcript.pyannote[594].start 4625.77221875
transcript.pyannote[594].end 4633.97346875
transcript.pyannote[595].speaker SPEAKER_04
transcript.pyannote[595].start 4634.69909375
transcript.pyannote[595].end 4637.50034375
transcript.pyannote[596].speaker SPEAKER_04
transcript.pyannote[596].start 4638.37784375
transcript.pyannote[596].end 4639.94721875
transcript.pyannote[597].speaker SPEAKER_04
transcript.pyannote[597].start 4640.31846875
transcript.pyannote[597].end 4640.62221875
transcript.pyannote[598].speaker SPEAKER_04
transcript.pyannote[598].start 4642.32659375
transcript.pyannote[598].end 4647.92909375
transcript.pyannote[599].speaker SPEAKER_04
transcript.pyannote[599].start 4648.21596875
transcript.pyannote[599].end 4649.46471875
transcript.pyannote[600].speaker SPEAKER_04
transcript.pyannote[600].start 4649.86971875
transcript.pyannote[600].end 4656.07971875
transcript.pyannote[601].speaker SPEAKER_04
transcript.pyannote[601].start 4657.36221875
transcript.pyannote[601].end 4658.27346875
transcript.pyannote[602].speaker SPEAKER_04
transcript.pyannote[602].start 4659.11721875
transcript.pyannote[602].end 4663.03221875
transcript.pyannote[603].speaker SPEAKER_04
transcript.pyannote[603].start 4663.50471875
transcript.pyannote[603].end 4666.66034375
transcript.pyannote[604].speaker SPEAKER_04
transcript.pyannote[604].start 4666.84596875
transcript.pyannote[604].end 4668.24659375
transcript.pyannote[605].speaker SPEAKER_04
transcript.pyannote[605].start 4668.38159375
transcript.pyannote[605].end 4671.08159375
transcript.pyannote[606].speaker SPEAKER_04
transcript.pyannote[606].start 4671.72284375
transcript.pyannote[606].end 4672.93784375
transcript.pyannote[607].speaker SPEAKER_04
transcript.pyannote[607].start 4673.79846875
transcript.pyannote[607].end 4682.18534375
transcript.pyannote[608].speaker SPEAKER_04
transcript.pyannote[608].start 4682.72534375
transcript.pyannote[608].end 4692.27659375
transcript.pyannote[609].speaker SPEAKER_04
transcript.pyannote[609].start 4693.17096875
transcript.pyannote[609].end 4694.43659375
transcript.pyannote[610].speaker SPEAKER_04
transcript.pyannote[610].start 4695.12846875
transcript.pyannote[610].end 4695.36471875
transcript.pyannote[611].speaker SPEAKER_04
transcript.pyannote[611].start 4695.82034375
transcript.pyannote[611].end 4699.80284375
transcript.pyannote[612].speaker SPEAKER_04
transcript.pyannote[612].start 4700.44409375
transcript.pyannote[612].end 4701.40596875
transcript.pyannote[613].speaker SPEAKER_04
transcript.pyannote[613].start 4702.04721875
transcript.pyannote[613].end 4707.58221875
transcript.pyannote[614].speaker SPEAKER_04
transcript.pyannote[614].start 4707.88596875
transcript.pyannote[614].end 4710.33284375
transcript.pyannote[615].speaker SPEAKER_04
transcript.pyannote[615].start 4710.36659375
transcript.pyannote[615].end 4710.73784375
transcript.pyannote[616].speaker SPEAKER_04
transcript.pyannote[616].start 4711.41284375
transcript.pyannote[616].end 4714.06221875
transcript.pyannote[617].speaker SPEAKER_04
transcript.pyannote[617].start 4714.28159375
transcript.pyannote[617].end 4714.55159375
transcript.pyannote[618].speaker SPEAKER_04
transcript.pyannote[618].start 4715.63159375
transcript.pyannote[618].end 4754.19096875
transcript.pyannote[619].speaker SPEAKER_04
transcript.pyannote[619].start 4754.74784375
transcript.pyannote[619].end 4785.42659375
transcript.pyannote[620].speaker SPEAKER_04
transcript.pyannote[620].start 4786.45596875
transcript.pyannote[620].end 4790.38784375
transcript.pyannote[621].speaker SPEAKER_04
transcript.pyannote[621].start 4790.82659375
transcript.pyannote[621].end 4795.70346875
transcript.pyannote[622].speaker SPEAKER_04
transcript.pyannote[622].start 4796.07471875
transcript.pyannote[622].end 4811.80221875
transcript.pyannote[623].speaker SPEAKER_04
transcript.pyannote[623].start 4812.46034375
transcript.pyannote[623].end 4837.19909375
transcript.pyannote[624].speaker SPEAKER_04
transcript.pyannote[624].start 4837.65471875
transcript.pyannote[624].end 4839.22409375
transcript.pyannote[625].speaker SPEAKER_04
transcript.pyannote[625].start 4840.11846875
transcript.pyannote[625].end 4882.71096875
transcript.pyannote[626].speaker SPEAKER_04
transcript.pyannote[626].start 4883.23409375
transcript.pyannote[626].end 4886.45721875
transcript.pyannote[627].speaker SPEAKER_04
transcript.pyannote[627].start 4887.52034375
transcript.pyannote[627].end 4892.26221875
transcript.pyannote[628].speaker SPEAKER_04
transcript.pyannote[628].start 4892.97096875
transcript.pyannote[628].end 4896.80159375
transcript.pyannote[629].speaker SPEAKER_04
transcript.pyannote[629].start 4897.00409375
transcript.pyannote[629].end 4902.38721875
transcript.pyannote[630].speaker SPEAKER_04
transcript.pyannote[630].start 4903.29846875
transcript.pyannote[630].end 4962.54659375
transcript.pyannote[631].speaker SPEAKER_04
transcript.pyannote[631].start 4962.90096875
transcript.pyannote[631].end 4980.90659375
transcript.pyannote[632].speaker SPEAKER_04
transcript.pyannote[632].start 4981.46346875
transcript.pyannote[632].end 4983.37034375
transcript.pyannote[633].speaker SPEAKER_04
transcript.pyannote[633].start 4983.92721875
transcript.pyannote[633].end 4998.67596875
transcript.pyannote[634].speaker SPEAKER_04
transcript.pyannote[634].start 5000.48159375
transcript.pyannote[634].end 5002.35471875
transcript.pyannote[635].speaker SPEAKER_04
transcript.pyannote[635].start 5002.89471875
transcript.pyannote[635].end 5016.42846875
transcript.pyannote[636].speaker SPEAKER_04
transcript.pyannote[636].start 5018.01471875
transcript.pyannote[636].end 5072.50409375
transcript.pyannote[637].speaker SPEAKER_04
transcript.pyannote[637].start 5073.71909375
transcript.pyannote[637].end 5080.89096875
transcript.pyannote[638].speaker SPEAKER_04
transcript.pyannote[638].start 5082.20721875
transcript.pyannote[638].end 5087.03346875
transcript.pyannote[639].speaker SPEAKER_04
transcript.pyannote[639].start 5087.60721875
transcript.pyannote[639].end 5095.28534375
transcript.pyannote[640].speaker SPEAKER_04
transcript.pyannote[640].start 5095.45409375
transcript.pyannote[640].end 5096.83784375
transcript.pyannote[641].speaker SPEAKER_04
transcript.pyannote[641].start 5097.37784375
transcript.pyannote[641].end 5102.25471875
transcript.pyannote[642].speaker SPEAKER_04
transcript.pyannote[642].start 5102.77784375
transcript.pyannote[642].end 5124.14159375
transcript.pyannote[643].speaker SPEAKER_01
transcript.pyannote[643].start 5124.51284375
transcript.pyannote[643].end 5134.62096875
transcript.pyannote[644].speaker SPEAKER_14
transcript.pyannote[644].start 5136.05534375
transcript.pyannote[644].end 5136.98346875
transcript.pyannote[645].speaker SPEAKER_14
transcript.pyannote[645].start 5137.65846875
transcript.pyannote[645].end 5139.02534375
transcript.pyannote[646].speaker SPEAKER_14
transcript.pyannote[646].start 5139.56534375
transcript.pyannote[646].end 5156.79471875
transcript.pyannote[647].speaker SPEAKER_14
transcript.pyannote[647].start 5157.70596875
transcript.pyannote[647].end 5158.24596875
transcript.pyannote[648].speaker SPEAKER_14
transcript.pyannote[648].start 5158.61721875
transcript.pyannote[648].end 5163.07221875
transcript.pyannote[649].speaker SPEAKER_14
transcript.pyannote[649].start 5163.49409375
transcript.pyannote[649].end 5182.14096875
transcript.pyannote[650].speaker SPEAKER_14
transcript.pyannote[650].start 5182.73159375
transcript.pyannote[650].end 5185.44846875
transcript.pyannote[651].speaker SPEAKER_14
transcript.pyannote[651].start 5185.76909375
transcript.pyannote[651].end 5189.02596875
transcript.pyannote[652].speaker SPEAKER_14
transcript.pyannote[652].start 5189.53221875
transcript.pyannote[652].end 5191.52346875
transcript.pyannote[653].speaker SPEAKER_14
transcript.pyannote[653].start 5191.92846875
transcript.pyannote[653].end 5212.66784375
transcript.pyannote[654].speaker SPEAKER_14
transcript.pyannote[654].start 5212.80284375
transcript.pyannote[654].end 5224.46346875
transcript.pyannote[655].speaker SPEAKER_14
transcript.pyannote[655].start 5224.96971875
transcript.pyannote[655].end 5226.84284375
transcript.pyannote[656].speaker SPEAKER_14
transcript.pyannote[656].start 5227.39971875
transcript.pyannote[656].end 5227.88909375
transcript.pyannote[657].speaker SPEAKER_14
transcript.pyannote[657].start 5228.58096875
transcript.pyannote[657].end 5231.17971875
transcript.pyannote[658].speaker SPEAKER_14
transcript.pyannote[658].start 5231.38221875
transcript.pyannote[658].end 5233.12034375
transcript.pyannote[659].speaker SPEAKER_14
transcript.pyannote[659].start 5233.72784375
transcript.pyannote[659].end 5245.62471875
transcript.pyannote[660].speaker SPEAKER_14
transcript.pyannote[660].start 5245.82721875
transcript.pyannote[660].end 5251.37909375
transcript.pyannote[661].speaker SPEAKER_14
transcript.pyannote[661].start 5252.42534375
transcript.pyannote[661].end 5260.67721875
transcript.pyannote[662].speaker SPEAKER_14
transcript.pyannote[662].start 5260.79534375
transcript.pyannote[662].end 5275.78034375
transcript.pyannote[663].speaker SPEAKER_14
transcript.pyannote[663].start 5276.23596875
transcript.pyannote[663].end 5285.16284375
transcript.pyannote[664].speaker SPEAKER_14
transcript.pyannote[664].start 5285.63534375
transcript.pyannote[664].end 5285.95596875
transcript.pyannote[665].speaker SPEAKER_14
transcript.pyannote[665].start 5286.73221875
transcript.pyannote[665].end 5289.39846875
transcript.pyannote[666].speaker SPEAKER_14
transcript.pyannote[666].start 5289.82034375
transcript.pyannote[666].end 5294.51159375
transcript.pyannote[667].speaker SPEAKER_14
transcript.pyannote[667].start 5294.69721875
transcript.pyannote[667].end 5295.62534375
transcript.pyannote[668].speaker SPEAKER_14
transcript.pyannote[668].start 5295.92909375
transcript.pyannote[668].end 5296.89096875
transcript.pyannote[669].speaker SPEAKER_14
transcript.pyannote[669].start 5297.46471875
transcript.pyannote[669].end 5299.33784375
transcript.pyannote[670].speaker SPEAKER_14
transcript.pyannote[670].start 5299.65846875
transcript.pyannote[670].end 5308.80471875
transcript.pyannote[671].speaker SPEAKER_14
transcript.pyannote[671].start 5309.24346875
transcript.pyannote[671].end 5314.94721875
transcript.pyannote[672].speaker SPEAKER_14
transcript.pyannote[672].start 5316.24659375
transcript.pyannote[672].end 5316.60096875
transcript.pyannote[673].speaker SPEAKER_14
transcript.pyannote[673].start 5317.36034375
transcript.pyannote[673].end 5321.64659375
transcript.pyannote[674].speaker SPEAKER_14
transcript.pyannote[674].start 5322.11909375
transcript.pyannote[674].end 5327.45159375
transcript.pyannote[675].speaker SPEAKER_14
transcript.pyannote[675].start 5328.29534375
transcript.pyannote[675].end 5329.71284375
transcript.pyannote[676].speaker SPEAKER_14
transcript.pyannote[676].start 5329.93221875
transcript.pyannote[676].end 5339.98971875
transcript.pyannote[677].speaker SPEAKER_14
transcript.pyannote[677].start 5340.22596875
transcript.pyannote[677].end 5340.64784375
transcript.pyannote[678].speaker SPEAKER_14
transcript.pyannote[678].start 5341.12034375
transcript.pyannote[678].end 5342.26784375
transcript.pyannote[679].speaker SPEAKER_14
transcript.pyannote[679].start 5342.63909375
transcript.pyannote[679].end 5354.72159375
transcript.pyannote[680].speaker SPEAKER_14
transcript.pyannote[680].start 5355.26159375
transcript.pyannote[680].end 5360.84721875
transcript.pyannote[681].speaker SPEAKER_14
transcript.pyannote[681].start 5362.61909375
transcript.pyannote[681].end 5363.63159375
transcript.pyannote[682].speaker SPEAKER_14
transcript.pyannote[682].start 5364.34034375
transcript.pyannote[682].end 5370.19596875
transcript.pyannote[683].speaker SPEAKER_14
transcript.pyannote[683].start 5370.21284375
transcript.pyannote[683].end 5381.01284375
transcript.pyannote[684].speaker SPEAKER_14
transcript.pyannote[684].start 5381.40096875
transcript.pyannote[684].end 5385.70409375
transcript.pyannote[685].speaker SPEAKER_14
transcript.pyannote[685].start 5386.10909375
transcript.pyannote[685].end 5386.81784375
transcript.pyannote[686].speaker SPEAKER_14
transcript.pyannote[686].start 5387.23971875
transcript.pyannote[686].end 5388.74159375
transcript.pyannote[687].speaker SPEAKER_14
transcript.pyannote[687].start 5389.31534375
transcript.pyannote[687].end 5414.44221875
transcript.pyannote[688].speaker SPEAKER_14
transcript.pyannote[688].start 5414.86409375
transcript.pyannote[688].end 5421.42846875
transcript.pyannote[689].speaker SPEAKER_14
transcript.pyannote[689].start 5421.52971875
transcript.pyannote[689].end 5421.54659375
transcript.pyannote[690].speaker SPEAKER_14
transcript.pyannote[690].start 5421.56346875
transcript.pyannote[690].end 5424.61784375
transcript.pyannote[691].speaker SPEAKER_14
transcript.pyannote[691].start 5427.04784375
transcript.pyannote[691].end 5428.31346875
transcript.pyannote[692].speaker SPEAKER_14
transcript.pyannote[692].start 5429.59596875
transcript.pyannote[692].end 5430.52409375
transcript.pyannote[693].speaker SPEAKER_14
transcript.pyannote[693].start 5431.13159375
transcript.pyannote[693].end 5431.53659375
transcript.pyannote[694].speaker SPEAKER_14
transcript.pyannote[694].start 5432.38034375
transcript.pyannote[694].end 5442.28596875
transcript.pyannote[695].speaker SPEAKER_14
transcript.pyannote[695].start 5443.36596875
transcript.pyannote[695].end 5444.20971875
transcript.pyannote[696].speaker SPEAKER_14
transcript.pyannote[696].start 5445.18846875
transcript.pyannote[696].end 5455.02659375
transcript.pyannote[697].speaker SPEAKER_14
transcript.pyannote[697].start 5455.43159375
transcript.pyannote[697].end 5463.16034375
transcript.pyannote[698].speaker SPEAKER_14
transcript.pyannote[698].start 5463.58221875
transcript.pyannote[698].end 5463.88596875
transcript.pyannote[699].speaker SPEAKER_14
transcript.pyannote[699].start 5466.34971875
transcript.pyannote[699].end 5480.05221875
transcript.pyannote[700].speaker SPEAKER_14
transcript.pyannote[700].start 5480.54159375
transcript.pyannote[700].end 5487.25784375
transcript.pyannote[701].speaker SPEAKER_14
transcript.pyannote[701].start 5487.88221875
transcript.pyannote[701].end 5489.24909375
transcript.pyannote[702].speaker SPEAKER_14
transcript.pyannote[702].start 5489.63721875
transcript.pyannote[702].end 5495.20596875
transcript.pyannote[703].speaker SPEAKER_14
transcript.pyannote[703].start 5495.54346875
transcript.pyannote[703].end 5505.41534375
transcript.pyannote[704].speaker SPEAKER_14
transcript.pyannote[704].start 5505.60096875
transcript.pyannote[704].end 5521.98659375
transcript.pyannote[705].speaker SPEAKER_14
transcript.pyannote[705].start 5522.44221875
transcript.pyannote[705].end 5532.98909375
transcript.pyannote[706].speaker SPEAKER_14
transcript.pyannote[706].start 5533.51221875
transcript.pyannote[706].end 5539.26659375
transcript.pyannote[707].speaker SPEAKER_14
transcript.pyannote[707].start 5539.73909375
transcript.pyannote[707].end 5540.00909375
transcript.pyannote[708].speaker SPEAKER_14
transcript.pyannote[708].start 5544.41346875
transcript.pyannote[708].end 5546.37096875
transcript.pyannote[709].speaker SPEAKER_14
transcript.pyannote[709].start 5548.31159375
transcript.pyannote[709].end 5564.02221875
transcript.pyannote[710].speaker SPEAKER_14
transcript.pyannote[710].start 5564.64659375
transcript.pyannote[710].end 5588.15346875
transcript.pyannote[711].speaker SPEAKER_14
transcript.pyannote[711].start 5588.91284375
transcript.pyannote[711].end 5598.32909375
transcript.pyannote[712].speaker SPEAKER_14
transcript.pyannote[712].start 5598.83534375
transcript.pyannote[712].end 5611.10346875
transcript.pyannote[713].speaker SPEAKER_14
transcript.pyannote[713].start 5612.11596875
transcript.pyannote[713].end 5621.26221875
transcript.pyannote[714].speaker SPEAKER_14
transcript.pyannote[714].start 5622.46034375
transcript.pyannote[714].end 5629.02471875
transcript.pyannote[715].speaker SPEAKER_14
transcript.pyannote[715].start 5629.39596875
transcript.pyannote[715].end 5632.93971875
transcript.pyannote[716].speaker SPEAKER_14
transcript.pyannote[716].start 5633.31096875
transcript.pyannote[716].end 5639.30159375
transcript.pyannote[717].speaker SPEAKER_14
transcript.pyannote[717].start 5639.82471875
transcript.pyannote[717].end 5640.36471875
transcript.pyannote[718].speaker SPEAKER_14
transcript.pyannote[718].start 5640.68534375
transcript.pyannote[718].end 5642.55846875
transcript.pyannote[719].speaker SPEAKER_14
transcript.pyannote[719].start 5643.01409375
transcript.pyannote[719].end 5650.00034375
transcript.pyannote[720].speaker SPEAKER_14
transcript.pyannote[720].start 5650.64159375
transcript.pyannote[720].end 5657.37471875
transcript.pyannote[721].speaker SPEAKER_14
transcript.pyannote[721].start 5657.89784375
transcript.pyannote[721].end 5663.65221875
transcript.pyannote[722].speaker SPEAKER_14
transcript.pyannote[722].start 5664.36096875
transcript.pyannote[722].end 5665.39034375
transcript.pyannote[723].speaker SPEAKER_14
transcript.pyannote[723].start 5666.40284375
transcript.pyannote[723].end 5677.91159375
transcript.pyannote[724].speaker SPEAKER_14
transcript.pyannote[724].start 5678.77221875
transcript.pyannote[724].end 5679.88596875
transcript.pyannote[725].speaker SPEAKER_14
transcript.pyannote[725].start 5679.97034375
transcript.pyannote[725].end 5686.31534375
transcript.pyannote[726].speaker SPEAKER_14
transcript.pyannote[726].start 5686.68659375
transcript.pyannote[726].end 5708.13471875
transcript.pyannote[727].speaker SPEAKER_14
transcript.pyannote[727].start 5708.57346875
transcript.pyannote[727].end 5709.75471875
transcript.pyannote[728].speaker SPEAKER_14
transcript.pyannote[728].start 5710.91909375
transcript.pyannote[728].end 5722.66409375
transcript.pyannote[729].speaker SPEAKER_14
transcript.pyannote[729].start 5723.03534375
transcript.pyannote[729].end 5727.03471875
transcript.pyannote[730].speaker SPEAKER_14
transcript.pyannote[730].start 5727.27096875
transcript.pyannote[730].end 5747.89221875
transcript.pyannote[731].speaker SPEAKER_14
transcript.pyannote[731].start 5748.16221875
transcript.pyannote[731].end 5749.84971875
transcript.pyannote[732].speaker SPEAKER_14
transcript.pyannote[732].start 5750.28846875
transcript.pyannote[732].end 5764.54784375
transcript.pyannote[733].speaker SPEAKER_01
transcript.pyannote[733].start 5764.54784375
transcript.pyannote[733].end 5771.51721875
transcript.pyannote[734].speaker SPEAKER_10
transcript.pyannote[734].start 5773.05284375
transcript.pyannote[734].end 5904.17159375
transcript.pyannote[735].speaker SPEAKER_10
transcript.pyannote[735].start 5904.18846875
transcript.pyannote[735].end 6078.97971875
transcript.pyannote[736].speaker SPEAKER_10
transcript.pyannote[736].start 6079.67159375
transcript.pyannote[736].end 6136.11846875
transcript.pyannote[737].speaker SPEAKER_10
transcript.pyannote[737].start 6136.43909375
transcript.pyannote[737].end 6230.90534375
transcript.pyannote[738].speaker SPEAKER_10
transcript.pyannote[738].start 6231.09096875
transcript.pyannote[738].end 6271.28721875
transcript.pyannote[739].speaker SPEAKER_10
transcript.pyannote[739].start 6271.55721875
transcript.pyannote[739].end 6348.03471875
transcript.pyannote[740].speaker SPEAKER_10
transcript.pyannote[740].start 6348.64221875
transcript.pyannote[740].end 6357.13034375
transcript.pyannote[741].speaker SPEAKER_10
transcript.pyannote[741].start 6357.28221875
transcript.pyannote[741].end 6379.37159375
transcript.pyannote[742].speaker SPEAKER_01
transcript.pyannote[742].start 6381.16034375
transcript.pyannote[742].end 6385.56471875
transcript.pyannote[743].speaker SPEAKER_01
transcript.pyannote[743].start 6386.25659375
transcript.pyannote[743].end 6387.11721875
transcript.pyannote[744].speaker SPEAKER_01
transcript.pyannote[744].start 6388.70346875
transcript.pyannote[744].end 6397.10721875
transcript.pyannote[745].speaker SPEAKER_01
transcript.pyannote[745].start 6397.57971875
transcript.pyannote[745].end 6407.65409375
transcript.pyannote[746].speaker SPEAKER_01
transcript.pyannote[746].start 6412.49721875
transcript.pyannote[746].end 6413.39159375
transcript.pyannote[747].speaker SPEAKER_16
transcript.pyannote[747].start 6416.00721875
transcript.pyannote[747].end 6418.38659375
transcript.pyannote[748].speaker SPEAKER_01
transcript.pyannote[748].start 6416.59784375
transcript.pyannote[748].end 6417.30659375
transcript.pyannote[749].speaker SPEAKER_03
transcript.pyannote[749].start 6417.30659375
transcript.pyannote[749].end 6417.32346875
transcript.pyannote[750].speaker SPEAKER_03
transcript.pyannote[750].start 6419.21346875
transcript.pyannote[750].end 6420.00659375
transcript.pyannote[751].speaker SPEAKER_03
transcript.pyannote[751].start 6420.74909375
transcript.pyannote[751].end 6421.52534375
transcript.pyannote[752].speaker SPEAKER_03
transcript.pyannote[752].start 6421.67721875
transcript.pyannote[752].end 6429.18659375
transcript.pyannote[753].speaker SPEAKER_03
transcript.pyannote[753].start 6430.33409375
transcript.pyannote[753].end 6433.50659375
transcript.pyannote[754].speaker SPEAKER_03
transcript.pyannote[754].start 6433.70909375
transcript.pyannote[754].end 6434.14784375
transcript.pyannote[755].speaker SPEAKER_03
transcript.pyannote[755].start 6434.63721875
transcript.pyannote[755].end 6435.71721875
transcript.pyannote[756].speaker SPEAKER_03
transcript.pyannote[756].start 6436.17284375
transcript.pyannote[756].end 6437.28659375
transcript.pyannote[757].speaker SPEAKER_03
transcript.pyannote[757].start 6437.69159375
transcript.pyannote[757].end 6440.07096875
transcript.pyannote[758].speaker SPEAKER_03
transcript.pyannote[758].start 6441.26909375
transcript.pyannote[758].end 6444.89721875
transcript.pyannote[759].speaker SPEAKER_03
transcript.pyannote[759].start 6446.39909375
transcript.pyannote[759].end 6448.77846875
transcript.pyannote[760].speaker SPEAKER_03
transcript.pyannote[760].start 6450.01034375
transcript.pyannote[760].end 6457.65471875
transcript.pyannote[761].speaker SPEAKER_03
transcript.pyannote[761].start 6458.26221875
transcript.pyannote[761].end 6460.72596875
transcript.pyannote[762].speaker SPEAKER_03
transcript.pyannote[762].start 6461.38409375
transcript.pyannote[762].end 6463.52721875
transcript.pyannote[763].speaker SPEAKER_03
transcript.pyannote[763].start 6464.16846875
transcript.pyannote[763].end 6465.43409375
transcript.pyannote[764].speaker SPEAKER_03
transcript.pyannote[764].start 6466.12596875
transcript.pyannote[764].end 6466.71659375
transcript.pyannote[765].speaker SPEAKER_03
transcript.pyannote[765].start 6466.90221875
transcript.pyannote[765].end 6468.08346875
transcript.pyannote[766].speaker SPEAKER_03
transcript.pyannote[766].start 6468.64034375
transcript.pyannote[766].end 6470.41221875
transcript.pyannote[767].speaker SPEAKER_03
transcript.pyannote[767].start 6471.50909375
transcript.pyannote[767].end 6475.50846875
transcript.pyannote[768].speaker SPEAKER_03
transcript.pyannote[768].start 6475.98096875
transcript.pyannote[768].end 6482.37659375
transcript.pyannote[769].speaker SPEAKER_03
transcript.pyannote[769].start 6483.79409375
transcript.pyannote[769].end 6485.29596875
transcript.pyannote[770].speaker SPEAKER_03
transcript.pyannote[770].start 6486.15659375
transcript.pyannote[770].end 6487.06784375
transcript.pyannote[771].speaker SPEAKER_03
transcript.pyannote[771].start 6488.06346875
transcript.pyannote[771].end 6489.09284375
transcript.pyannote[772].speaker SPEAKER_03
transcript.pyannote[772].start 6489.46409375
transcript.pyannote[772].end 6490.35846875
transcript.pyannote[773].speaker SPEAKER_03
transcript.pyannote[773].start 6490.74659375
transcript.pyannote[773].end 6491.79284375
transcript.pyannote[774].speaker SPEAKER_03
transcript.pyannote[774].start 6492.82221875
transcript.pyannote[774].end 6494.08784375
transcript.pyannote[775].speaker SPEAKER_03
transcript.pyannote[775].start 6494.98221875
transcript.pyannote[775].end 6496.24784375
transcript.pyannote[776].speaker SPEAKER_03
transcript.pyannote[776].start 6496.97346875
transcript.pyannote[776].end 6498.67784375
transcript.pyannote[777].speaker SPEAKER_03
transcript.pyannote[777].start 6499.09971875
transcript.pyannote[777].end 6500.02784375
transcript.pyannote[778].speaker SPEAKER_03
transcript.pyannote[778].start 6500.97284375
transcript.pyannote[778].end 6503.30159375
transcript.pyannote[779].speaker SPEAKER_03
transcript.pyannote[779].start 6504.34784375
transcript.pyannote[779].end 6505.34346875
transcript.pyannote[780].speaker SPEAKER_03
transcript.pyannote[780].start 6506.05221875
transcript.pyannote[780].end 6507.68909375
transcript.pyannote[781].speaker SPEAKER_03
transcript.pyannote[781].start 6508.24596875
transcript.pyannote[781].end 6511.01346875
transcript.pyannote[782].speaker SPEAKER_03
transcript.pyannote[782].start 6512.46471875
transcript.pyannote[782].end 6515.53596875
transcript.pyannote[783].speaker SPEAKER_03
transcript.pyannote[783].start 6516.12659375
transcript.pyannote[783].end 6518.86034375
transcript.pyannote[784].speaker SPEAKER_03
transcript.pyannote[784].start 6519.73784375
transcript.pyannote[784].end 6520.95284375
transcript.pyannote[785].speaker SPEAKER_03
transcript.pyannote[785].start 6522.04971875
transcript.pyannote[785].end 6524.12534375
transcript.pyannote[786].speaker SPEAKER_03
transcript.pyannote[786].start 6525.07034375
transcript.pyannote[786].end 6530.65596875
transcript.pyannote[787].speaker SPEAKER_03
transcript.pyannote[787].start 6531.49971875
transcript.pyannote[787].end 6532.71471875
transcript.pyannote[788].speaker SPEAKER_03
transcript.pyannote[788].start 6533.11971875
transcript.pyannote[788].end 6534.23346875
transcript.pyannote[789].speaker SPEAKER_03
transcript.pyannote[789].start 6534.87471875
transcript.pyannote[789].end 6535.92096875
transcript.pyannote[790].speaker SPEAKER_03
transcript.pyannote[790].start 6537.94596875
transcript.pyannote[790].end 6538.60409375
transcript.pyannote[791].speaker SPEAKER_03
transcript.pyannote[791].start 6539.86971875
transcript.pyannote[791].end 6541.06784375
transcript.pyannote[792].speaker SPEAKER_03
transcript.pyannote[792].start 6541.30409375
transcript.pyannote[792].end 6545.45534375
transcript.pyannote[793].speaker SPEAKER_03
transcript.pyannote[793].start 6546.41721875
transcript.pyannote[793].end 6547.86846875
transcript.pyannote[794].speaker SPEAKER_03
transcript.pyannote[794].start 6548.96534375
transcript.pyannote[794].end 6552.88034375
transcript.pyannote[795].speaker SPEAKER_03
transcript.pyannote[795].start 6554.17971875
transcript.pyannote[795].end 6555.74909375
transcript.pyannote[796].speaker SPEAKER_03
transcript.pyannote[796].start 6556.64346875
transcript.pyannote[796].end 6561.25034375
transcript.pyannote[797].speaker SPEAKER_03
transcript.pyannote[797].start 6562.43159375
transcript.pyannote[797].end 6564.03471875
transcript.pyannote[798].speaker SPEAKER_03
transcript.pyannote[798].start 6564.77721875
transcript.pyannote[798].end 6566.92034375
transcript.pyannote[799].speaker SPEAKER_03
transcript.pyannote[799].start 6567.57846875
transcript.pyannote[799].end 6569.04659375
transcript.pyannote[800].speaker SPEAKER_03
transcript.pyannote[800].start 6569.46846875
transcript.pyannote[800].end 6571.39221875
transcript.pyannote[801].speaker SPEAKER_03
transcript.pyannote[801].start 6573.65346875
transcript.pyannote[801].end 6575.34096875
transcript.pyannote[802].speaker SPEAKER_03
transcript.pyannote[802].start 6576.60659375
transcript.pyannote[802].end 6579.28971875
transcript.pyannote[803].speaker SPEAKER_03
transcript.pyannote[803].start 6579.79596875
transcript.pyannote[803].end 6580.70721875
transcript.pyannote[804].speaker SPEAKER_03
transcript.pyannote[804].start 6581.02784375
transcript.pyannote[804].end 6582.49596875
transcript.pyannote[805].speaker SPEAKER_03
transcript.pyannote[805].start 6583.55909375
transcript.pyannote[805].end 6584.97659375
transcript.pyannote[806].speaker SPEAKER_03
transcript.pyannote[806].start 6585.31409375
transcript.pyannote[806].end 6587.96346875
transcript.pyannote[807].speaker SPEAKER_03
transcript.pyannote[807].start 6588.95909375
transcript.pyannote[807].end 6590.03909375
transcript.pyannote[808].speaker SPEAKER_03
transcript.pyannote[808].start 6591.03471875
transcript.pyannote[808].end 6593.85284375
transcript.pyannote[809].speaker SPEAKER_03
transcript.pyannote[809].start 6594.52784375
transcript.pyannote[809].end 6600.40034375
transcript.pyannote[810].speaker SPEAKER_03
transcript.pyannote[810].start 6601.04159375
transcript.pyannote[810].end 6605.68221875
transcript.pyannote[811].speaker SPEAKER_03
transcript.pyannote[811].start 6606.72846875
transcript.pyannote[811].end 6609.91784375
transcript.pyannote[812].speaker SPEAKER_03
transcript.pyannote[812].start 6611.09909375
transcript.pyannote[812].end 6613.24221875
transcript.pyannote[813].speaker SPEAKER_03
transcript.pyannote[813].start 6614.25471875
transcript.pyannote[813].end 6616.81971875
transcript.pyannote[814].speaker SPEAKER_03
transcript.pyannote[814].start 6617.96721875
transcript.pyannote[814].end 6620.61659375
transcript.pyannote[815].speaker SPEAKER_03
transcript.pyannote[815].start 6621.15659375
transcript.pyannote[815].end 6624.27846875
transcript.pyannote[816].speaker SPEAKER_03
transcript.pyannote[816].start 6626.03346875
transcript.pyannote[816].end 6628.02471875
transcript.pyannote[817].speaker SPEAKER_03
transcript.pyannote[817].start 6629.00346875
transcript.pyannote[817].end 6631.16346875
transcript.pyannote[818].speaker SPEAKER_03
transcript.pyannote[818].start 6632.15909375
transcript.pyannote[818].end 6633.69471875
transcript.pyannote[819].speaker SPEAKER_03
transcript.pyannote[819].start 6634.25159375
transcript.pyannote[819].end 6635.12909375
transcript.pyannote[820].speaker SPEAKER_03
transcript.pyannote[820].start 6635.83784375
transcript.pyannote[820].end 6637.00221875
transcript.pyannote[821].speaker SPEAKER_03
transcript.pyannote[821].start 6638.63909375
transcript.pyannote[821].end 6640.00596875
transcript.pyannote[822].speaker SPEAKER_03
transcript.pyannote[822].start 6640.66409375
transcript.pyannote[822].end 6641.40659375
transcript.pyannote[823].speaker SPEAKER_03
transcript.pyannote[823].start 6642.09846875
transcript.pyannote[823].end 6644.56221875
transcript.pyannote[824].speaker SPEAKER_03
transcript.pyannote[824].start 6645.25409375
transcript.pyannote[824].end 6646.67159375
transcript.pyannote[825].speaker SPEAKER_03
transcript.pyannote[825].start 6648.66284375
transcript.pyannote[825].end 6650.21534375
transcript.pyannote[826].speaker SPEAKER_03
transcript.pyannote[826].start 6651.17721875
transcript.pyannote[826].end 6653.69159375
transcript.pyannote[827].speaker SPEAKER_03
transcript.pyannote[827].start 6654.46784375
transcript.pyannote[827].end 6657.60659375
transcript.pyannote[828].speaker SPEAKER_03
transcript.pyannote[828].start 6659.37846875
transcript.pyannote[828].end 6660.86346875
transcript.pyannote[829].speaker SPEAKER_03
transcript.pyannote[829].start 6662.11221875
transcript.pyannote[829].end 6663.63096875
transcript.pyannote[830].speaker SPEAKER_03
transcript.pyannote[830].start 6665.33534375
transcript.pyannote[830].end 6666.63471875
transcript.pyannote[831].speaker SPEAKER_03
transcript.pyannote[831].start 6667.84971875
transcript.pyannote[831].end 6669.23346875
transcript.pyannote[832].speaker SPEAKER_03
transcript.pyannote[832].start 6670.22909375
transcript.pyannote[832].end 6670.81971875
transcript.pyannote[833].speaker SPEAKER_03
transcript.pyannote[833].start 6671.41034375
transcript.pyannote[833].end 6673.11471875
transcript.pyannote[834].speaker SPEAKER_03
transcript.pyannote[834].start 6673.36784375
transcript.pyannote[834].end 6674.71784375
transcript.pyannote[835].speaker SPEAKER_03
transcript.pyannote[835].start 6675.35909375
transcript.pyannote[835].end 6675.86534375
transcript.pyannote[836].speaker SPEAKER_03
transcript.pyannote[836].start 6676.52346875
transcript.pyannote[836].end 6677.50221875
transcript.pyannote[837].speaker SPEAKER_03
transcript.pyannote[837].start 6678.32909375
transcript.pyannote[837].end 6680.91096875
transcript.pyannote[838].speaker SPEAKER_03
transcript.pyannote[838].start 6682.17659375
transcript.pyannote[838].end 6683.08784375
transcript.pyannote[839].speaker SPEAKER_03
transcript.pyannote[839].start 6683.89784375
transcript.pyannote[839].end 6686.02409375
transcript.pyannote[840].speaker SPEAKER_03
transcript.pyannote[840].start 6686.81721875
transcript.pyannote[840].end 6688.28534375
transcript.pyannote[841].speaker SPEAKER_03
transcript.pyannote[841].start 6689.90534375
transcript.pyannote[841].end 6692.60534375
transcript.pyannote[842].speaker SPEAKER_03
transcript.pyannote[842].start 6692.65596875
transcript.pyannote[842].end 6694.24221875
transcript.pyannote[843].speaker SPEAKER_03
transcript.pyannote[843].start 6694.83284375
transcript.pyannote[843].end 6695.98034375
transcript.pyannote[844].speaker SPEAKER_03
transcript.pyannote[844].start 6697.24596875
transcript.pyannote[844].end 6699.05159375
transcript.pyannote[845].speaker SPEAKER_03
transcript.pyannote[845].start 6700.87409375
transcript.pyannote[845].end 6702.76409375
transcript.pyannote[846].speaker SPEAKER_03
transcript.pyannote[846].start 6704.55284375
transcript.pyannote[846].end 6709.51409375
transcript.pyannote[847].speaker SPEAKER_03
transcript.pyannote[847].start 6710.62784375
transcript.pyannote[847].end 6712.61909375
transcript.pyannote[848].speaker SPEAKER_03
transcript.pyannote[848].start 6713.63159375
transcript.pyannote[848].end 6716.80409375
transcript.pyannote[849].speaker SPEAKER_03
transcript.pyannote[849].start 6717.52971875
transcript.pyannote[849].end 6718.42409375
transcript.pyannote[850].speaker SPEAKER_03
transcript.pyannote[850].start 6719.16659375
transcript.pyannote[850].end 6719.99346875
transcript.pyannote[851].speaker SPEAKER_03
transcript.pyannote[851].start 6721.14096875
transcript.pyannote[851].end 6722.33909375
transcript.pyannote[852].speaker SPEAKER_03
transcript.pyannote[852].start 6724.04346875
transcript.pyannote[852].end 6725.27534375
transcript.pyannote[853].speaker SPEAKER_03
transcript.pyannote[853].start 6726.59159375
transcript.pyannote[853].end 6731.95784375
transcript.pyannote[854].speaker SPEAKER_03
transcript.pyannote[854].start 6733.81409375
transcript.pyannote[854].end 6734.37096875
transcript.pyannote[855].speaker SPEAKER_03
transcript.pyannote[855].start 6735.11346875
transcript.pyannote[855].end 6758.90721875
transcript.pyannote[856].speaker SPEAKER_03
transcript.pyannote[856].start 6760.20659375
transcript.pyannote[856].end 6770.60159375
transcript.pyannote[857].speaker SPEAKER_03
transcript.pyannote[857].start 6771.25971875
transcript.pyannote[857].end 6777.57096875
transcript.pyannote[858].speaker SPEAKER_03
transcript.pyannote[858].start 6778.11096875
transcript.pyannote[858].end 6780.33846875
transcript.pyannote[859].speaker SPEAKER_03
transcript.pyannote[859].start 6783.42659375
transcript.pyannote[859].end 6787.25721875
transcript.pyannote[860].speaker SPEAKER_03
transcript.pyannote[860].start 6788.84346875
transcript.pyannote[860].end 6793.77096875
transcript.pyannote[861].speaker SPEAKER_03
transcript.pyannote[861].start 6794.73284375
transcript.pyannote[861].end 6796.92659375
transcript.pyannote[862].speaker SPEAKER_03
transcript.pyannote[862].start 6797.80409375
transcript.pyannote[862].end 6799.15409375
transcript.pyannote[863].speaker SPEAKER_03
transcript.pyannote[863].start 6801.83721875
transcript.pyannote[863].end 6802.81596875
transcript.pyannote[864].speaker SPEAKER_03
transcript.pyannote[864].start 6803.54159375
transcript.pyannote[864].end 6804.95909375
transcript.pyannote[865].speaker SPEAKER_03
transcript.pyannote[865].start 6805.78596875
transcript.pyannote[865].end 6811.35471875
transcript.pyannote[866].speaker SPEAKER_03
transcript.pyannote[866].start 6812.28284375
transcript.pyannote[866].end 6813.32909375
transcript.pyannote[867].speaker SPEAKER_03
transcript.pyannote[867].start 6814.05471875
transcript.pyannote[867].end 6816.46784375
transcript.pyannote[868].speaker SPEAKER_03
transcript.pyannote[868].start 6816.72096875
transcript.pyannote[868].end 6818.81346875
transcript.pyannote[869].speaker SPEAKER_03
transcript.pyannote[869].start 6821.37846875
transcript.pyannote[869].end 6823.11659375
transcript.pyannote[870].speaker SPEAKER_03
transcript.pyannote[870].start 6825.14159375
transcript.pyannote[870].end 6826.03596875
transcript.pyannote[871].speaker SPEAKER_03
transcript.pyannote[871].start 6826.10346875
transcript.pyannote[871].end 6827.01471875
transcript.pyannote[872].speaker SPEAKER_03
transcript.pyannote[872].start 6827.65596875
transcript.pyannote[872].end 6831.25034375
transcript.pyannote[873].speaker SPEAKER_03
transcript.pyannote[873].start 6832.43159375
transcript.pyannote[873].end 6832.92096875
transcript.pyannote[874].speaker SPEAKER_03
transcript.pyannote[874].start 6834.15284375
transcript.pyannote[874].end 6834.91221875
transcript.pyannote[875].speaker SPEAKER_03
transcript.pyannote[875].start 6835.06409375
transcript.pyannote[875].end 6837.66284375
transcript.pyannote[876].speaker SPEAKER_03
transcript.pyannote[876].start 6838.81034375
transcript.pyannote[876].end 6839.67096875
transcript.pyannote[877].speaker SPEAKER_03
transcript.pyannote[877].start 6839.97471875
transcript.pyannote[877].end 6840.49784375
transcript.pyannote[878].speaker SPEAKER_03
transcript.pyannote[878].start 6842.40471875
transcript.pyannote[878].end 6844.56471875
transcript.pyannote[879].speaker SPEAKER_03
transcript.pyannote[879].start 6846.03284375
transcript.pyannote[879].end 6848.95221875
transcript.pyannote[880].speaker SPEAKER_03
transcript.pyannote[880].start 6850.57221875
transcript.pyannote[880].end 6853.03596875
transcript.pyannote[881].speaker SPEAKER_03
transcript.pyannote[881].start 6855.63471875
transcript.pyannote[881].end 6858.26721875
transcript.pyannote[882].speaker SPEAKER_03
transcript.pyannote[882].start 6858.82409375
transcript.pyannote[882].end 6860.08971875
transcript.pyannote[883].speaker SPEAKER_03
transcript.pyannote[883].start 6861.25409375
transcript.pyannote[883].end 6862.80659375
transcript.pyannote[884].speaker SPEAKER_03
transcript.pyannote[884].start 6864.66284375
transcript.pyannote[884].end 6865.67534375
transcript.pyannote[885].speaker SPEAKER_03
transcript.pyannote[885].start 6865.81034375
transcript.pyannote[885].end 6866.35034375
transcript.pyannote[886].speaker SPEAKER_03
transcript.pyannote[886].start 6867.22784375
transcript.pyannote[886].end 6869.59034375
transcript.pyannote[887].speaker SPEAKER_03
transcript.pyannote[887].start 6870.68721875
transcript.pyannote[887].end 6871.88534375
transcript.pyannote[888].speaker SPEAKER_03
transcript.pyannote[888].start 6872.93159375
transcript.pyannote[888].end 6878.11221875
transcript.pyannote[889].speaker SPEAKER_03
transcript.pyannote[889].start 6878.12909375
transcript.pyannote[889].end 6890.83596875
transcript.pyannote[890].speaker SPEAKER_03
transcript.pyannote[890].start 6891.47721875
transcript.pyannote[890].end 6896.18534375
transcript.pyannote[891].speaker SPEAKER_03
transcript.pyannote[891].start 6896.62409375
transcript.pyannote[891].end 6900.28596875
transcript.pyannote[892].speaker SPEAKER_03
transcript.pyannote[892].start 6901.04534375
transcript.pyannote[892].end 6902.71596875
transcript.pyannote[893].speaker SPEAKER_03
transcript.pyannote[893].start 6903.72846875
transcript.pyannote[893].end 6910.20846875
transcript.pyannote[894].speaker SPEAKER_03
transcript.pyannote[894].start 6911.77784375
transcript.pyannote[894].end 6913.06034375
transcript.pyannote[895].speaker SPEAKER_03
transcript.pyannote[895].start 6914.25846875
transcript.pyannote[895].end 6918.08909375
transcript.pyannote[896].speaker SPEAKER_03
transcript.pyannote[896].start 6918.47721875
transcript.pyannote[896].end 6921.83534375
transcript.pyannote[897].speaker SPEAKER_03
transcript.pyannote[897].start 6922.66221875
transcript.pyannote[897].end 6930.18846875
transcript.pyannote[898].speaker SPEAKER_03
transcript.pyannote[898].start 6930.88034375
transcript.pyannote[898].end 6932.26409375
transcript.pyannote[899].speaker SPEAKER_03
transcript.pyannote[899].start 6933.12471875
transcript.pyannote[899].end 6934.86284375
transcript.pyannote[900].speaker SPEAKER_03
transcript.pyannote[900].start 6936.14534375
transcript.pyannote[900].end 6938.40659375
transcript.pyannote[901].speaker SPEAKER_03
transcript.pyannote[901].start 6939.14909375
transcript.pyannote[901].end 6940.48221875
transcript.pyannote[902].speaker SPEAKER_03
transcript.pyannote[902].start 6941.39346875
transcript.pyannote[902].end 6942.33846875
transcript.pyannote[903].speaker SPEAKER_03
transcript.pyannote[903].start 6943.46909375
transcript.pyannote[903].end 6944.81909375
transcript.pyannote[904].speaker SPEAKER_03
transcript.pyannote[904].start 6945.52784375
transcript.pyannote[904].end 6946.48971875
transcript.pyannote[905].speaker SPEAKER_03
transcript.pyannote[905].start 6947.26596875
transcript.pyannote[905].end 6948.48096875
transcript.pyannote[906].speaker SPEAKER_03
transcript.pyannote[906].start 6948.64971875
transcript.pyannote[906].end 6949.78034375
transcript.pyannote[907].speaker SPEAKER_03
transcript.pyannote[907].start 6953.89784375
transcript.pyannote[907].end 6954.52221875
transcript.pyannote[908].speaker SPEAKER_03
transcript.pyannote[908].start 6955.99034375
transcript.pyannote[908].end 6956.49659375
transcript.pyannote[909].speaker SPEAKER_03
transcript.pyannote[909].start 6956.90159375
transcript.pyannote[909].end 6958.77471875
transcript.pyannote[910].speaker SPEAKER_03
transcript.pyannote[910].start 6959.58471875
transcript.pyannote[910].end 6960.66471875
transcript.pyannote[911].speaker SPEAKER_03
transcript.pyannote[911].start 6960.95159375
transcript.pyannote[911].end 6962.65596875
transcript.pyannote[912].speaker SPEAKER_03
transcript.pyannote[912].start 6964.14096875
transcript.pyannote[912].end 6969.08534375
transcript.pyannote[913].speaker SPEAKER_03
transcript.pyannote[913].start 6970.28346875
transcript.pyannote[913].end 6971.97096875
transcript.pyannote[914].speaker SPEAKER_03
transcript.pyannote[914].start 6972.69659375
transcript.pyannote[914].end 6974.99159375
transcript.pyannote[915].speaker SPEAKER_03
transcript.pyannote[915].start 6976.32471875
transcript.pyannote[915].end 6980.50971875
transcript.pyannote[916].speaker SPEAKER_03
transcript.pyannote[916].start 6981.20159375
transcript.pyannote[916].end 6996.20346875
transcript.pyannote[917].speaker SPEAKER_03
transcript.pyannote[917].start 6997.33409375
transcript.pyannote[917].end 7000.18596875
transcript.pyannote[918].speaker SPEAKER_03
transcript.pyannote[918].start 7001.26596875
transcript.pyannote[918].end 7006.07534375
transcript.pyannote[919].speaker SPEAKER_03
transcript.pyannote[919].start 7006.49721875
transcript.pyannote[919].end 7008.77534375
transcript.pyannote[920].speaker SPEAKER_03
transcript.pyannote[920].start 7010.26034375
transcript.pyannote[920].end 7011.71159375
transcript.pyannote[921].speaker SPEAKER_03
transcript.pyannote[921].start 7012.25159375
transcript.pyannote[921].end 7013.43284375
transcript.pyannote[922].speaker SPEAKER_03
transcript.pyannote[922].start 7015.12034375
transcript.pyannote[922].end 7025.02596875
transcript.pyannote[923].speaker SPEAKER_01
transcript.pyannote[923].start 7025.02596875
transcript.pyannote[923].end 7026.27471875
transcript.pyannote[924].speaker SPEAKER_01
transcript.pyannote[924].start 7026.98346875
transcript.pyannote[924].end 7037.88471875
transcript.pyannote[925].speaker SPEAKER_01
transcript.pyannote[925].start 7038.54284375
transcript.pyannote[925].end 7043.90909375
transcript.pyannote[926].speaker SPEAKER_01
transcript.pyannote[926].start 7047.04784375
transcript.pyannote[926].end 7056.66659375
transcript.pyannote[927].speaker SPEAKER_00
transcript.pyannote[927].start 7053.07221875
transcript.pyannote[927].end 7053.62909375
transcript.pyannote[928].speaker SPEAKER_00
transcript.pyannote[928].start 7053.66284375
transcript.pyannote[928].end 7053.73034375
transcript.pyannote[929].speaker SPEAKER_01
transcript.pyannote[929].start 7061.67846875
transcript.pyannote[929].end 7065.86346875
transcript.pyannote[930].speaker SPEAKER_01
transcript.pyannote[930].start 7066.87596875
transcript.pyannote[930].end 7068.36096875
transcript.pyannote[931].speaker SPEAKER_08
transcript.pyannote[931].start 7068.29346875
transcript.pyannote[931].end 7068.32721875
transcript.pyannote[932].speaker SPEAKER_08
transcript.pyannote[932].start 7068.36096875
transcript.pyannote[932].end 7068.73221875
transcript.pyannote[933].speaker SPEAKER_01
transcript.pyannote[933].start 7069.28909375
transcript.pyannote[933].end 7071.82034375
transcript.pyannote[934].speaker SPEAKER_01
transcript.pyannote[934].start 7080.51096875
transcript.pyannote[934].end 7081.70909375
transcript.pyannote[935].speaker SPEAKER_01
transcript.pyannote[935].start 7081.89471875
transcript.pyannote[935].end 7086.06284375
transcript.pyannote[936].speaker SPEAKER_05
transcript.pyannote[936].start 7088.61096875
transcript.pyannote[936].end 7089.31971875
transcript.pyannote[937].speaker SPEAKER_05
transcript.pyannote[937].start 7090.21409375
transcript.pyannote[937].end 7091.19284375
transcript.pyannote[938].speaker SPEAKER_05
transcript.pyannote[938].start 7091.74971875
transcript.pyannote[938].end 7093.28534375
transcript.pyannote[939].speaker SPEAKER_05
transcript.pyannote[939].start 7093.52159375
transcript.pyannote[939].end 7094.92221875
transcript.pyannote[940].speaker SPEAKER_05
transcript.pyannote[940].start 7095.20909375
transcript.pyannote[940].end 7096.57596875
transcript.pyannote[941].speaker SPEAKER_05
transcript.pyannote[941].start 7097.06534375
transcript.pyannote[941].end 7098.53346875
transcript.pyannote[942].speaker SPEAKER_05
transcript.pyannote[942].start 7098.80346875
transcript.pyannote[942].end 7101.77346875
transcript.pyannote[943].speaker SPEAKER_05
transcript.pyannote[943].start 7102.11096875
transcript.pyannote[943].end 7104.65909375
transcript.pyannote[944].speaker SPEAKER_05
transcript.pyannote[944].start 7105.35096875
transcript.pyannote[944].end 7108.33784375
transcript.pyannote[945].speaker SPEAKER_05
transcript.pyannote[945].start 7108.96221875
transcript.pyannote[945].end 7109.87346875
transcript.pyannote[946].speaker SPEAKER_05
transcript.pyannote[946].start 7110.07596875
transcript.pyannote[946].end 7111.00409375
transcript.pyannote[947].speaker SPEAKER_05
transcript.pyannote[947].start 7111.54409375
transcript.pyannote[947].end 7114.05846875
transcript.pyannote[948].speaker SPEAKER_05
transcript.pyannote[948].start 7114.42971875
transcript.pyannote[948].end 7115.52659375
transcript.pyannote[949].speaker SPEAKER_05
transcript.pyannote[949].start 7116.06659375
transcript.pyannote[949].end 7117.85534375
transcript.pyannote[950].speaker SPEAKER_05
transcript.pyannote[950].start 7119.34034375
transcript.pyannote[950].end 7119.69471875
transcript.pyannote[951].speaker SPEAKER_05
transcript.pyannote[951].start 7120.69034375
transcript.pyannote[951].end 7122.32721875
transcript.pyannote[952].speaker SPEAKER_05
transcript.pyannote[952].start 7124.35221875
transcript.pyannote[952].end 7124.87534375
transcript.pyannote[953].speaker SPEAKER_05
transcript.pyannote[953].start 7125.01034375
transcript.pyannote[953].end 7125.02721875
transcript.pyannote[954].speaker SPEAKER_05
transcript.pyannote[954].start 7125.07784375
transcript.pyannote[954].end 7128.77346875
transcript.pyannote[955].speaker SPEAKER_05
transcript.pyannote[955].start 7129.49909375
transcript.pyannote[955].end 7131.05159375
transcript.pyannote[956].speaker SPEAKER_05
transcript.pyannote[956].start 7131.49034375
transcript.pyannote[956].end 7132.16534375
transcript.pyannote[957].speaker SPEAKER_05
transcript.pyannote[957].start 7132.97534375
transcript.pyannote[957].end 7133.85284375
transcript.pyannote[958].speaker SPEAKER_05
transcript.pyannote[958].start 7134.39284375
transcript.pyannote[958].end 7135.57409375
transcript.pyannote[959].speaker SPEAKER_05
transcript.pyannote[959].start 7136.58659375
transcript.pyannote[959].end 7139.13471875
transcript.pyannote[960].speaker SPEAKER_05
transcript.pyannote[960].start 7140.09659375
transcript.pyannote[960].end 7140.72096875
transcript.pyannote[961].speaker SPEAKER_05
transcript.pyannote[961].start 7140.85596875
transcript.pyannote[961].end 7143.26909375
transcript.pyannote[962].speaker SPEAKER_05
transcript.pyannote[962].start 7143.77534375
transcript.pyannote[962].end 7146.52596875
transcript.pyannote[963].speaker SPEAKER_05
transcript.pyannote[963].start 7146.94784375
transcript.pyannote[963].end 7147.45409375
transcript.pyannote[964].speaker SPEAKER_05
transcript.pyannote[964].start 7147.84221875
transcript.pyannote[964].end 7148.39909375
transcript.pyannote[965].speaker SPEAKER_05
transcript.pyannote[965].start 7149.17534375
transcript.pyannote[965].end 7149.86721875
transcript.pyannote[966].speaker SPEAKER_05
transcript.pyannote[966].start 7150.93034375
transcript.pyannote[966].end 7151.90909375
transcript.pyannote[967].speaker SPEAKER_05
transcript.pyannote[967].start 7152.51659375
transcript.pyannote[967].end 7152.80346875
transcript.pyannote[968].speaker SPEAKER_05
transcript.pyannote[968].start 7153.30971875
transcript.pyannote[968].end 7153.93409375
transcript.pyannote[969].speaker SPEAKER_05
transcript.pyannote[969].start 7154.74409375
transcript.pyannote[969].end 7155.18284375
transcript.pyannote[970].speaker SPEAKER_05
transcript.pyannote[970].start 7155.48659375
transcript.pyannote[970].end 7156.21221875
transcript.pyannote[971].speaker SPEAKER_05
transcript.pyannote[971].start 7156.92096875
transcript.pyannote[971].end 7159.92471875
transcript.pyannote[972].speaker SPEAKER_05
transcript.pyannote[972].start 7160.58284375
transcript.pyannote[972].end 7165.78034375
transcript.pyannote[973].speaker SPEAKER_05
transcript.pyannote[973].start 7166.99534375
transcript.pyannote[973].end 7168.36221875
transcript.pyannote[974].speaker SPEAKER_05
transcript.pyannote[974].start 7169.37471875
transcript.pyannote[974].end 7172.80034375
transcript.pyannote[975].speaker SPEAKER_05
transcript.pyannote[975].start 7173.25596875
transcript.pyannote[975].end 7174.70721875
transcript.pyannote[976].speaker SPEAKER_05
transcript.pyannote[976].start 7175.46659375
transcript.pyannote[976].end 7177.54221875
transcript.pyannote[977].speaker SPEAKER_05
transcript.pyannote[977].start 7177.96409375
transcript.pyannote[977].end 7180.37721875
transcript.pyannote[978].speaker SPEAKER_05
transcript.pyannote[978].start 7180.81596875
transcript.pyannote[978].end 7182.65534375
transcript.pyannote[979].speaker SPEAKER_05
transcript.pyannote[979].start 7182.95909375
transcript.pyannote[979].end 7185.59159375
transcript.pyannote[980].speaker SPEAKER_05
transcript.pyannote[980].start 7186.48596875
transcript.pyannote[980].end 7188.35909375
transcript.pyannote[981].speaker SPEAKER_05
transcript.pyannote[981].start 7188.73034375
transcript.pyannote[981].end 7189.92846875
transcript.pyannote[982].speaker SPEAKER_05
transcript.pyannote[982].start 7190.35034375
transcript.pyannote[982].end 7193.33721875
transcript.pyannote[983].speaker SPEAKER_05
transcript.pyannote[983].start 7193.47221875
transcript.pyannote[983].end 7196.22284375
transcript.pyannote[984].speaker SPEAKER_05
transcript.pyannote[984].start 7196.96534375
transcript.pyannote[984].end 7199.83409375
transcript.pyannote[985].speaker SPEAKER_05
transcript.pyannote[985].start 7200.42471875
transcript.pyannote[985].end 7202.16284375
transcript.pyannote[986].speaker SPEAKER_05
transcript.pyannote[986].start 7202.43284375
transcript.pyannote[986].end 7214.61659375
transcript.pyannote[987].speaker SPEAKER_05
transcript.pyannote[987].start 7215.27471875
transcript.pyannote[987].end 7222.93596875
transcript.pyannote[988].speaker SPEAKER_05
transcript.pyannote[988].start 7223.30721875
transcript.pyannote[988].end 7225.72034375
transcript.pyannote[989].speaker SPEAKER_05
transcript.pyannote[989].start 7226.32784375
transcript.pyannote[989].end 7227.17159375
transcript.pyannote[990].speaker SPEAKER_05
transcript.pyannote[990].start 7227.42471875
transcript.pyannote[990].end 7229.16284375
transcript.pyannote[991].speaker SPEAKER_05
transcript.pyannote[991].start 7229.43284375
transcript.pyannote[991].end 7230.68159375
transcript.pyannote[992].speaker SPEAKER_05
transcript.pyannote[992].start 7232.16659375
transcript.pyannote[992].end 7239.45659375
transcript.pyannote[993].speaker SPEAKER_05
transcript.pyannote[993].start 7240.18221875
transcript.pyannote[993].end 7243.59096875
transcript.pyannote[994].speaker SPEAKER_05
transcript.pyannote[994].start 7244.40096875
transcript.pyannote[994].end 7246.24034375
transcript.pyannote[995].speaker SPEAKER_05
transcript.pyannote[995].start 7246.72971875
transcript.pyannote[995].end 7249.26096875
transcript.pyannote[996].speaker SPEAKER_05
transcript.pyannote[996].start 7249.69971875
transcript.pyannote[996].end 7251.94409375
transcript.pyannote[997].speaker SPEAKER_05
transcript.pyannote[997].start 7251.97784375
transcript.pyannote[997].end 7252.65284375
transcript.pyannote[998].speaker SPEAKER_05
transcript.pyannote[998].start 7253.00721875
transcript.pyannote[998].end 7256.61846875
transcript.pyannote[999].speaker SPEAKER_05
transcript.pyannote[999].start 7256.83784375
transcript.pyannote[999].end 7261.63034375
transcript.pyannote[1000].speaker SPEAKER_05
transcript.pyannote[1000].start 7261.76534375
transcript.pyannote[1000].end 7264.19534375
transcript.pyannote[1001].speaker SPEAKER_05
transcript.pyannote[1001].start 7264.41471875
transcript.pyannote[1001].end 7271.02971875
transcript.pyannote[1002].speaker SPEAKER_05
transcript.pyannote[1002].start 7271.24909375
transcript.pyannote[1002].end 7272.91971875
transcript.pyannote[1003].speaker SPEAKER_05
transcript.pyannote[1003].start 7273.47659375
transcript.pyannote[1003].end 7275.60284375
transcript.pyannote[1004].speaker SPEAKER_05
transcript.pyannote[1004].start 7275.78846875
transcript.pyannote[1004].end 7285.86284375
transcript.pyannote[1005].speaker SPEAKER_05
transcript.pyannote[1005].start 7286.72346875
transcript.pyannote[1005].end 7296.07221875
transcript.pyannote[1006].speaker SPEAKER_05
transcript.pyannote[1006].start 7296.78096875
transcript.pyannote[1006].end 7301.01659375
transcript.pyannote[1007].speaker SPEAKER_05
transcript.pyannote[1007].start 7302.07971875
transcript.pyannote[1007].end 7302.41721875
transcript.pyannote[1008].speaker SPEAKER_05
transcript.pyannote[1008].start 7302.78846875
transcript.pyannote[1008].end 7307.26034375
transcript.pyannote[1009].speaker SPEAKER_05
transcript.pyannote[1009].start 7307.95221875
transcript.pyannote[1009].end 7308.74534375
transcript.pyannote[1010].speaker SPEAKER_05
transcript.pyannote[1010].start 7309.62284375
transcript.pyannote[1010].end 7310.63534375
transcript.pyannote[1011].speaker SPEAKER_05
transcript.pyannote[1011].start 7311.37784375
transcript.pyannote[1011].end 7315.03971875
transcript.pyannote[1012].speaker SPEAKER_05
transcript.pyannote[1012].start 7315.22534375
transcript.pyannote[1012].end 7324.87784375
transcript.pyannote[1013].speaker SPEAKER_05
transcript.pyannote[1013].start 7325.08034375
transcript.pyannote[1013].end 7326.53159375
transcript.pyannote[1014].speaker SPEAKER_05
transcript.pyannote[1014].start 7326.98721875
transcript.pyannote[1014].end 7328.38784375
transcript.pyannote[1015].speaker SPEAKER_05
transcript.pyannote[1015].start 7329.13034375
transcript.pyannote[1015].end 7329.60284375
transcript.pyannote[1016].speaker SPEAKER_05
transcript.pyannote[1016].start 7329.82221875
transcript.pyannote[1016].end 7331.37471875
transcript.pyannote[1017].speaker SPEAKER_05
transcript.pyannote[1017].start 7331.86409375
transcript.pyannote[1017].end 7333.50096875
transcript.pyannote[1018].speaker SPEAKER_05
transcript.pyannote[1018].start 7333.60221875
transcript.pyannote[1018].end 7336.35284375
transcript.pyannote[1019].speaker SPEAKER_05
transcript.pyannote[1019].start 7336.89284375
transcript.pyannote[1019].end 7344.36846875
transcript.pyannote[1020].speaker SPEAKER_05
transcript.pyannote[1020].start 7344.84096875
transcript.pyannote[1020].end 7345.90409375
transcript.pyannote[1021].speaker SPEAKER_05
transcript.pyannote[1021].start 7346.96721875
transcript.pyannote[1021].end 7349.48159375
transcript.pyannote[1022].speaker SPEAKER_05
transcript.pyannote[1022].start 7349.68409375
transcript.pyannote[1022].end 7351.11846875
transcript.pyannote[1023].speaker SPEAKER_05
transcript.pyannote[1023].start 7351.52346875
transcript.pyannote[1023].end 7353.54846875
transcript.pyannote[1024].speaker SPEAKER_05
transcript.pyannote[1024].start 7355.28659375
transcript.pyannote[1024].end 7356.23159375
transcript.pyannote[1025].speaker SPEAKER_05
transcript.pyannote[1025].start 7356.56909375
transcript.pyannote[1025].end 7360.63596875
transcript.pyannote[1026].speaker SPEAKER_05
transcript.pyannote[1026].start 7361.14221875
transcript.pyannote[1026].end 7374.00096875
transcript.pyannote[1027].speaker SPEAKER_05
transcript.pyannote[1027].start 7374.08534375
transcript.pyannote[1027].end 7378.67534375
transcript.pyannote[1028].speaker SPEAKER_05
transcript.pyannote[1028].start 7378.94534375
transcript.pyannote[1028].end 7380.26159375
transcript.pyannote[1029].speaker SPEAKER_05
transcript.pyannote[1029].start 7380.73409375
transcript.pyannote[1029].end 7386.74159375
transcript.pyannote[1030].speaker SPEAKER_05
transcript.pyannote[1030].start 7387.02846875
transcript.pyannote[1030].end 7394.52096875
transcript.pyannote[1031].speaker SPEAKER_05
transcript.pyannote[1031].start 7394.92596875
transcript.pyannote[1031].end 7402.87409375
transcript.pyannote[1032].speaker SPEAKER_05
transcript.pyannote[1032].start 7403.78534375
transcript.pyannote[1032].end 7407.34596875
transcript.pyannote[1033].speaker SPEAKER_05
transcript.pyannote[1033].start 7407.51471875
transcript.pyannote[1033].end 7420.05284375
transcript.pyannote[1034].speaker SPEAKER_05
transcript.pyannote[1034].start 7420.57596875
transcript.pyannote[1034].end 7421.89221875
transcript.pyannote[1035].speaker SPEAKER_05
transcript.pyannote[1035].start 7422.85409375
transcript.pyannote[1035].end 7423.57971875
transcript.pyannote[1036].speaker SPEAKER_05
transcript.pyannote[1036].start 7423.98471875
transcript.pyannote[1036].end 7424.44034375
transcript.pyannote[1037].speaker SPEAKER_05
transcript.pyannote[1037].start 7424.87909375
transcript.pyannote[1037].end 7428.00096875
transcript.pyannote[1038].speaker SPEAKER_05
transcript.pyannote[1038].start 7428.50721875
transcript.pyannote[1038].end 7433.41784375
transcript.pyannote[1039].speaker SPEAKER_05
transcript.pyannote[1039].start 7433.92409375
transcript.pyannote[1039].end 7437.36659375
transcript.pyannote[1040].speaker SPEAKER_05
transcript.pyannote[1040].start 7438.26096875
transcript.pyannote[1040].end 7442.42909375
transcript.pyannote[1041].speaker SPEAKER_05
transcript.pyannote[1041].start 7442.91846875
transcript.pyannote[1041].end 7445.97284375
transcript.pyannote[1042].speaker SPEAKER_05
transcript.pyannote[1042].start 7446.31034375
transcript.pyannote[1042].end 7450.88346875
transcript.pyannote[1043].speaker SPEAKER_05
transcript.pyannote[1043].start 7451.42346875
transcript.pyannote[1043].end 7454.68034375
transcript.pyannote[1044].speaker SPEAKER_05
transcript.pyannote[1044].start 7454.88284375
transcript.pyannote[1044].end 7456.48596875
transcript.pyannote[1045].speaker SPEAKER_05
transcript.pyannote[1045].start 7457.00909375
transcript.pyannote[1045].end 7458.27471875
transcript.pyannote[1046].speaker SPEAKER_05
transcript.pyannote[1046].start 7458.61221875
transcript.pyannote[1046].end 7466.08784375
transcript.pyannote[1047].speaker SPEAKER_05
transcript.pyannote[1047].start 7466.72909375
transcript.pyannote[1047].end 7467.82596875
transcript.pyannote[1048].speaker SPEAKER_05
transcript.pyannote[1048].start 7468.60221875
transcript.pyannote[1048].end 7469.32784375
transcript.pyannote[1049].speaker SPEAKER_05
transcript.pyannote[1049].start 7469.85096875
transcript.pyannote[1049].end 7470.12096875
transcript.pyannote[1050].speaker SPEAKER_05
transcript.pyannote[1050].start 7470.86346875
transcript.pyannote[1050].end 7472.65221875
transcript.pyannote[1051].speaker SPEAKER_05
transcript.pyannote[1051].start 7472.82096875
transcript.pyannote[1051].end 7474.60971875
transcript.pyannote[1052].speaker SPEAKER_05
transcript.pyannote[1052].start 7475.50409375
transcript.pyannote[1052].end 7479.30096875
transcript.pyannote[1053].speaker SPEAKER_05
transcript.pyannote[1053].start 7479.62159375
transcript.pyannote[1053].end 7481.24159375
transcript.pyannote[1054].speaker SPEAKER_05
transcript.pyannote[1054].start 7481.64659375
transcript.pyannote[1054].end 7484.66721875
transcript.pyannote[1055].speaker SPEAKER_05
transcript.pyannote[1055].start 7484.95409375
transcript.pyannote[1055].end 7486.77659375
transcript.pyannote[1056].speaker SPEAKER_05
transcript.pyannote[1056].start 7487.01284375
transcript.pyannote[1056].end 7491.48471875
transcript.pyannote[1057].speaker SPEAKER_05
transcript.pyannote[1057].start 7492.32846875
transcript.pyannote[1057].end 7497.27284375
transcript.pyannote[1058].speaker SPEAKER_05
transcript.pyannote[1058].start 7497.47534375
transcript.pyannote[1058].end 7501.17096875
transcript.pyannote[1059].speaker SPEAKER_05
transcript.pyannote[1059].start 7501.62659375
transcript.pyannote[1059].end 7505.30534375
transcript.pyannote[1060].speaker SPEAKER_05
transcript.pyannote[1060].start 7505.57534375
transcript.pyannote[1060].end 7506.03096875
transcript.pyannote[1061].speaker SPEAKER_05
transcript.pyannote[1061].start 7506.60471875
transcript.pyannote[1061].end 7507.60034375
transcript.pyannote[1062].speaker SPEAKER_05
transcript.pyannote[1062].start 7507.78596875
transcript.pyannote[1062].end 7512.17346875
transcript.pyannote[1063].speaker SPEAKER_05
transcript.pyannote[1063].start 7512.84846875
transcript.pyannote[1063].end 7514.45159375
transcript.pyannote[1064].speaker SPEAKER_05
transcript.pyannote[1064].start 7514.62034375
transcript.pyannote[1064].end 7515.61596875
transcript.pyannote[1065].speaker SPEAKER_05
transcript.pyannote[1065].start 7516.17284375
transcript.pyannote[1065].end 7520.98221875
transcript.pyannote[1066].speaker SPEAKER_05
transcript.pyannote[1066].start 7521.16784375
transcript.pyannote[1066].end 7538.86971875
transcript.pyannote[1067].speaker SPEAKER_05
transcript.pyannote[1067].start 7539.13971875
transcript.pyannote[1067].end 7543.37534375
transcript.pyannote[1068].speaker SPEAKER_05
transcript.pyannote[1068].start 7543.76346875
transcript.pyannote[1068].end 7545.60284375
transcript.pyannote[1069].speaker SPEAKER_05
transcript.pyannote[1069].start 7545.85596875
transcript.pyannote[1069].end 7547.76284375
transcript.pyannote[1070].speaker SPEAKER_05
transcript.pyannote[1070].start 7548.50534375
transcript.pyannote[1070].end 7549.23096875
transcript.pyannote[1071].speaker SPEAKER_05
transcript.pyannote[1071].start 7549.45034375
transcript.pyannote[1071].end 7552.03221875
transcript.pyannote[1072].speaker SPEAKER_05
transcript.pyannote[1072].start 7552.58909375
transcript.pyannote[1072].end 7560.30096875
transcript.pyannote[1073].speaker SPEAKER_05
transcript.pyannote[1073].start 7560.94221875
transcript.pyannote[1073].end 7561.95471875
transcript.pyannote[1074].speaker SPEAKER_05
transcript.pyannote[1074].start 7562.78159375
transcript.pyannote[1074].end 7564.51971875
transcript.pyannote[1075].speaker SPEAKER_05
transcript.pyannote[1075].start 7565.11034375
transcript.pyannote[1075].end 7567.97909375
transcript.pyannote[1076].speaker SPEAKER_05
transcript.pyannote[1076].start 7568.35034375
transcript.pyannote[1076].end 7569.16034375
transcript.pyannote[1077].speaker SPEAKER_05
transcript.pyannote[1077].start 7570.17284375
transcript.pyannote[1077].end 7577.22659375
transcript.pyannote[1078].speaker SPEAKER_05
transcript.pyannote[1078].start 7578.27284375
transcript.pyannote[1078].end 7590.43971875
transcript.pyannote[1079].speaker SPEAKER_05
transcript.pyannote[1079].start 7591.06409375
transcript.pyannote[1079].end 7593.66284375
transcript.pyannote[1080].speaker SPEAKER_05
transcript.pyannote[1080].start 7594.01721875
transcript.pyannote[1080].end 7595.02971875
transcript.pyannote[1081].speaker SPEAKER_05
transcript.pyannote[1081].start 7595.85659375
transcript.pyannote[1081].end 7605.28971875
transcript.pyannote[1082].speaker SPEAKER_05
transcript.pyannote[1082].start 7605.61034375
transcript.pyannote[1082].end 7606.97721875
transcript.pyannote[1083].speaker SPEAKER_05
transcript.pyannote[1083].start 7608.00659375
transcript.pyannote[1083].end 7608.69846875
transcript.pyannote[1084].speaker SPEAKER_05
transcript.pyannote[1084].start 7609.18784375
transcript.pyannote[1084].end 7611.51659375
transcript.pyannote[1085].speaker SPEAKER_05
transcript.pyannote[1085].start 7612.03971875
transcript.pyannote[1085].end 7614.80721875
transcript.pyannote[1086].speaker SPEAKER_05
transcript.pyannote[1086].start 7615.66784375
transcript.pyannote[1086].end 7615.92096875
transcript.pyannote[1087].speaker SPEAKER_05
transcript.pyannote[1087].start 7616.22471875
transcript.pyannote[1087].end 7617.49034375
transcript.pyannote[1088].speaker SPEAKER_05
transcript.pyannote[1088].start 7617.91221875
transcript.pyannote[1088].end 7619.93721875
transcript.pyannote[1089].speaker SPEAKER_05
transcript.pyannote[1089].start 7620.12284375
transcript.pyannote[1089].end 7620.54471875
transcript.pyannote[1090].speaker SPEAKER_05
transcript.pyannote[1090].start 7621.10159375
transcript.pyannote[1090].end 7623.34596875
transcript.pyannote[1091].speaker SPEAKER_05
transcript.pyannote[1091].start 7623.51471875
transcript.pyannote[1091].end 7626.16409375
transcript.pyannote[1092].speaker SPEAKER_05
transcript.pyannote[1092].start 7626.70409375
transcript.pyannote[1092].end 7629.87659375
transcript.pyannote[1093].speaker SPEAKER_05
transcript.pyannote[1093].start 7630.39971875
transcript.pyannote[1093].end 7630.97346875
transcript.pyannote[1094].speaker SPEAKER_05
transcript.pyannote[1094].start 7631.61471875
transcript.pyannote[1094].end 7635.64784375
transcript.pyannote[1095].speaker SPEAKER_05
transcript.pyannote[1095].start 7636.28909375
transcript.pyannote[1095].end 7637.92596875
transcript.pyannote[1096].speaker SPEAKER_05
transcript.pyannote[1096].start 7640.00159375
transcript.pyannote[1096].end 7640.42346875
transcript.pyannote[1097].speaker SPEAKER_05
transcript.pyannote[1097].start 7640.79471875
transcript.pyannote[1097].end 7641.68909375
transcript.pyannote[1098].speaker SPEAKER_05
transcript.pyannote[1098].start 7642.36409375
transcript.pyannote[1098].end 7645.78971875
transcript.pyannote[1099].speaker SPEAKER_05
transcript.pyannote[1099].start 7646.12721875
transcript.pyannote[1099].end 7647.98346875
transcript.pyannote[1100].speaker SPEAKER_05
transcript.pyannote[1100].start 7648.15221875
transcript.pyannote[1100].end 7648.92846875
transcript.pyannote[1101].speaker SPEAKER_05
transcript.pyannote[1101].start 7649.33346875
transcript.pyannote[1101].end 7650.56534375
transcript.pyannote[1102].speaker SPEAKER_05
transcript.pyannote[1102].start 7651.71284375
transcript.pyannote[1102].end 7652.37096875
transcript.pyannote[1103].speaker SPEAKER_05
transcript.pyannote[1103].start 7652.94471875
transcript.pyannote[1103].end 7654.21034375
transcript.pyannote[1104].speaker SPEAKER_05
transcript.pyannote[1104].start 7655.45909375
transcript.pyannote[1104].end 7656.21846875
transcript.pyannote[1105].speaker SPEAKER_05
transcript.pyannote[1105].start 7656.31971875
transcript.pyannote[1105].end 7660.58909375
transcript.pyannote[1106].speaker SPEAKER_05
transcript.pyannote[1106].start 7661.04471875
transcript.pyannote[1106].end 7669.80284375
transcript.pyannote[1107].speaker SPEAKER_05
transcript.pyannote[1107].start 7670.47784375
transcript.pyannote[1107].end 7673.07659375
transcript.pyannote[1108].speaker SPEAKER_05
transcript.pyannote[1108].start 7673.81909375
transcript.pyannote[1108].end 7675.70909375
transcript.pyannote[1109].speaker SPEAKER_05
transcript.pyannote[1109].start 7676.35034375
transcript.pyannote[1109].end 7677.41346875
transcript.pyannote[1110].speaker SPEAKER_05
transcript.pyannote[1110].start 7677.58221875
transcript.pyannote[1110].end 7684.29846875
transcript.pyannote[1111].speaker SPEAKER_05
transcript.pyannote[1111].start 7684.97346875
transcript.pyannote[1111].end 7687.97721875
transcript.pyannote[1112].speaker SPEAKER_05
transcript.pyannote[1112].start 7688.29784375
transcript.pyannote[1112].end 7707.02909375
transcript.pyannote[1113].speaker SPEAKER_00
transcript.pyannote[1113].start 7692.24659375
transcript.pyannote[1113].end 7692.76971875
transcript.pyannote[1114].speaker SPEAKER_01
transcript.pyannote[1114].start 7707.02909375
transcript.pyannote[1114].end 7707.29909375
transcript.pyannote[1115].speaker SPEAKER_05
transcript.pyannote[1115].start 7707.29909375
transcript.pyannote[1115].end 7707.73784375
transcript.pyannote[1116].speaker SPEAKER_01
transcript.pyannote[1116].start 7707.73784375
transcript.pyannote[1116].end 7707.95721875
transcript.pyannote[1117].speaker SPEAKER_05
transcript.pyannote[1117].start 7707.95721875
transcript.pyannote[1117].end 7708.02471875
transcript.pyannote[1118].speaker SPEAKER_01
transcript.pyannote[1118].start 7708.02471875
transcript.pyannote[1118].end 7720.46159375
transcript.pyannote[1119].speaker SPEAKER_02
transcript.pyannote[1119].start 7721.98034375
transcript.pyannote[1119].end 7722.30096875
transcript.pyannote[1120].speaker SPEAKER_02
transcript.pyannote[1120].start 7723.02659375
transcript.pyannote[1120].end 7736.89784375
transcript.pyannote[1121].speaker SPEAKER_02
transcript.pyannote[1121].start 7737.23534375
transcript.pyannote[1121].end 7740.10409375
transcript.pyannote[1122].speaker SPEAKER_02
transcript.pyannote[1122].start 7740.39096875
transcript.pyannote[1122].end 7743.04034375
transcript.pyannote[1123].speaker SPEAKER_02
transcript.pyannote[1123].start 7743.24284375
transcript.pyannote[1123].end 7752.76034375
transcript.pyannote[1124].speaker SPEAKER_02
transcript.pyannote[1124].start 7753.03034375
transcript.pyannote[1124].end 7755.64596875
transcript.pyannote[1125].speaker SPEAKER_02
transcript.pyannote[1125].start 7755.79784375
transcript.pyannote[1125].end 7765.29846875
transcript.pyannote[1126].speaker SPEAKER_02
transcript.pyannote[1126].start 7765.77096875
transcript.pyannote[1126].end 7774.02284375
transcript.pyannote[1127].speaker SPEAKER_02
transcript.pyannote[1127].start 7774.27596875
transcript.pyannote[1127].end 7781.71784375
transcript.pyannote[1128].speaker SPEAKER_02
transcript.pyannote[1128].start 7781.83596875
transcript.pyannote[1128].end 7790.18909375
transcript.pyannote[1129].speaker SPEAKER_02
transcript.pyannote[1129].start 7790.30721875
transcript.pyannote[1129].end 7801.69784375
transcript.pyannote[1130].speaker SPEAKER_02
transcript.pyannote[1130].start 7802.01846875
transcript.pyannote[1130].end 7812.81846875
transcript.pyannote[1131].speaker SPEAKER_02
transcript.pyannote[1131].start 7813.10534375
transcript.pyannote[1131].end 7830.16596875
transcript.pyannote[1132].speaker SPEAKER_02
transcript.pyannote[1132].start 7830.94221875
transcript.pyannote[1132].end 7840.71284375
transcript.pyannote[1133].speaker SPEAKER_02
transcript.pyannote[1133].start 7841.55659375
transcript.pyannote[1133].end 7848.20534375
transcript.pyannote[1134].speaker SPEAKER_02
transcript.pyannote[1134].start 7848.32346875
transcript.pyannote[1134].end 7867.34159375
transcript.pyannote[1135].speaker SPEAKER_02
transcript.pyannote[1135].start 7867.76346875
transcript.pyannote[1135].end 7904.87159375
transcript.pyannote[1136].speaker SPEAKER_02
transcript.pyannote[1136].start 7905.81659375
transcript.pyannote[1136].end 7915.21596875
transcript.pyannote[1137].speaker SPEAKER_02
transcript.pyannote[1137].start 7915.82346875
transcript.pyannote[1137].end 7917.07221875
transcript.pyannote[1138].speaker SPEAKER_02
transcript.pyannote[1138].start 7918.06784375
transcript.pyannote[1138].end 7918.42221875
transcript.pyannote[1139].speaker SPEAKER_02
transcript.pyannote[1139].start 7919.21534375
transcript.pyannote[1139].end 7919.85659375
transcript.pyannote[1140].speaker SPEAKER_02
transcript.pyannote[1140].start 7920.39659375
transcript.pyannote[1140].end 7964.64284375
transcript.pyannote[1141].speaker SPEAKER_02
transcript.pyannote[1141].start 7965.03096875
transcript.pyannote[1141].end 8012.85471875
transcript.pyannote[1142].speaker SPEAKER_02
transcript.pyannote[1142].start 8012.97284375
transcript.pyannote[1142].end 8017.79909375
transcript.pyannote[1143].speaker SPEAKER_02
transcript.pyannote[1143].start 8018.60909375
transcript.pyannote[1143].end 8029.96596875
transcript.pyannote[1144].speaker SPEAKER_02
transcript.pyannote[1144].start 8030.65784375
transcript.pyannote[1144].end 8032.41284375
transcript.pyannote[1145].speaker SPEAKER_02
transcript.pyannote[1145].start 8032.63221875
transcript.pyannote[1145].end 8036.22659375
transcript.pyannote[1146].speaker SPEAKER_02
transcript.pyannote[1146].start 8036.37846875
transcript.pyannote[1146].end 8040.68159375
transcript.pyannote[1147].speaker SPEAKER_02
transcript.pyannote[1147].start 8040.74909375
transcript.pyannote[1147].end 8045.79471875
transcript.pyannote[1148].speaker SPEAKER_02
transcript.pyannote[1148].start 8046.23346875
transcript.pyannote[1148].end 8072.13659375
transcript.pyannote[1149].speaker SPEAKER_02
transcript.pyannote[1149].start 8072.42346875
transcript.pyannote[1149].end 8079.73034375
transcript.pyannote[1150].speaker SPEAKER_02
transcript.pyannote[1150].start 8080.06784375
transcript.pyannote[1150].end 8087.25659375
transcript.pyannote[1151].speaker SPEAKER_02
transcript.pyannote[1151].start 8088.79221875
transcript.pyannote[1151].end 8089.39971875
transcript.pyannote[1152].speaker SPEAKER_02
transcript.pyannote[1152].start 8090.74971875
transcript.pyannote[1152].end 8094.52971875
transcript.pyannote[1153].speaker SPEAKER_02
transcript.pyannote[1153].start 8094.86721875
transcript.pyannote[1153].end 8100.14909375
transcript.pyannote[1154].speaker SPEAKER_02
transcript.pyannote[1154].start 8100.65534375
transcript.pyannote[1154].end 8101.19534375
transcript.pyannote[1155].speaker SPEAKER_02
transcript.pyannote[1155].start 8101.95471875
transcript.pyannote[1155].end 8139.24846875
transcript.pyannote[1156].speaker SPEAKER_02
transcript.pyannote[1156].start 8139.75471875
transcript.pyannote[1156].end 8141.61096875
transcript.pyannote[1157].speaker SPEAKER_02
transcript.pyannote[1157].start 8141.96534375
transcript.pyannote[1157].end 8175.66471875
transcript.pyannote[1158].speaker SPEAKER_02
transcript.pyannote[1158].start 8176.47471875
transcript.pyannote[1158].end 8205.90471875
transcript.pyannote[1159].speaker SPEAKER_02
transcript.pyannote[1159].start 8206.00596875
transcript.pyannote[1159].end 8217.22784375
transcript.pyannote[1160].speaker SPEAKER_02
transcript.pyannote[1160].start 8218.02096875
transcript.pyannote[1160].end 8222.02034375
transcript.pyannote[1161].speaker SPEAKER_02
transcript.pyannote[1161].start 8222.66159375
transcript.pyannote[1161].end 8225.85096875
transcript.pyannote[1162].speaker SPEAKER_02
transcript.pyannote[1162].start 8227.23471875
transcript.pyannote[1162].end 8229.19221875
transcript.pyannote[1163].speaker SPEAKER_02
transcript.pyannote[1163].start 8229.37784375
transcript.pyannote[1163].end 8231.08221875
transcript.pyannote[1164].speaker SPEAKER_02
transcript.pyannote[1164].start 8231.20034375
transcript.pyannote[1164].end 8237.37659375
transcript.pyannote[1165].speaker SPEAKER_02
transcript.pyannote[1165].start 8237.56221875
transcript.pyannote[1165].end 8238.87846875
transcript.pyannote[1166].speaker SPEAKER_02
transcript.pyannote[1166].start 8238.99659375
transcript.pyannote[1166].end 8239.03034375
transcript.pyannote[1167].speaker SPEAKER_02
transcript.pyannote[1167].start 8239.11471875
transcript.pyannote[1167].end 8242.03409375
transcript.pyannote[1168].speaker SPEAKER_02
transcript.pyannote[1168].start 8242.43909375
transcript.pyannote[1168].end 8246.87721875
transcript.pyannote[1169].speaker SPEAKER_02
transcript.pyannote[1169].start 8247.51846875
transcript.pyannote[1169].end 8251.99034375
transcript.pyannote[1170].speaker SPEAKER_02
transcript.pyannote[1170].start 8252.15909375
transcript.pyannote[1170].end 8256.32721875
transcript.pyannote[1171].speaker SPEAKER_02
transcript.pyannote[1171].start 8257.08659375
transcript.pyannote[1171].end 8258.97659375
transcript.pyannote[1172].speaker SPEAKER_02
transcript.pyannote[1172].start 8259.60096875
transcript.pyannote[1172].end 8263.88721875
transcript.pyannote[1173].speaker SPEAKER_02
transcript.pyannote[1173].start 8264.73096875
transcript.pyannote[1173].end 8268.27471875
transcript.pyannote[1174].speaker SPEAKER_02
transcript.pyannote[1174].start 8268.76409375
transcript.pyannote[1174].end 8284.96409375
transcript.pyannote[1175].speaker SPEAKER_02
transcript.pyannote[1175].start 8285.35221875
transcript.pyannote[1175].end 8291.34284375
transcript.pyannote[1176].speaker SPEAKER_02
transcript.pyannote[1176].start 8291.96721875
transcript.pyannote[1176].end 8296.59096875
transcript.pyannote[1177].speaker SPEAKER_02
transcript.pyannote[1177].start 8296.89471875
transcript.pyannote[1177].end 8298.49784375
transcript.pyannote[1178].speaker SPEAKER_02
transcript.pyannote[1178].start 8298.83534375
transcript.pyannote[1178].end 8301.58596875
transcript.pyannote[1179].speaker SPEAKER_02
transcript.pyannote[1179].start 8301.95721875
transcript.pyannote[1179].end 8302.66596875
transcript.pyannote[1180].speaker SPEAKER_02
transcript.pyannote[1180].start 8303.40846875
transcript.pyannote[1180].end 8303.84721875
transcript.pyannote[1181].speaker SPEAKER_02
transcript.pyannote[1181].start 8304.42096875
transcript.pyannote[1181].end 8304.79221875
transcript.pyannote[1182].speaker SPEAKER_02
transcript.pyannote[1182].start 8305.11284375
transcript.pyannote[1182].end 8318.86596875
transcript.pyannote[1183].speaker SPEAKER_02
transcript.pyannote[1183].start 8319.62534375
transcript.pyannote[1183].end 8334.03659375
transcript.pyannote[1184].speaker SPEAKER_01
transcript.pyannote[1184].start 8334.03659375
transcript.pyannote[1184].end 8340.19596875
transcript.pyannote[1185].speaker SPEAKER_16
transcript.pyannote[1185].start 8341.84971875
transcript.pyannote[1185].end 8344.12784375
transcript.pyannote[1186].speaker SPEAKER_16
transcript.pyannote[1186].start 8344.33034375
transcript.pyannote[1186].end 8348.41409375
transcript.pyannote[1187].speaker SPEAKER_16
transcript.pyannote[1187].start 8348.78534375
transcript.pyannote[1187].end 8351.80596875
transcript.pyannote[1188].speaker SPEAKER_16
transcript.pyannote[1188].start 8352.09284375
transcript.pyannote[1188].end 8354.25284375
transcript.pyannote[1189].speaker SPEAKER_16
transcript.pyannote[1189].start 8354.82659375
transcript.pyannote[1189].end 8361.81284375
transcript.pyannote[1190].speaker SPEAKER_16
transcript.pyannote[1190].start 8362.18409375
transcript.pyannote[1190].end 8367.51659375
transcript.pyannote[1191].speaker SPEAKER_16
transcript.pyannote[1191].start 8367.85409375
transcript.pyannote[1191].end 8375.88659375
transcript.pyannote[1192].speaker SPEAKER_16
transcript.pyannote[1192].start 8376.30846875
transcript.pyannote[1192].end 8381.21909375
transcript.pyannote[1193].speaker SPEAKER_16
transcript.pyannote[1193].start 8381.42159375
transcript.pyannote[1193].end 8385.50534375
transcript.pyannote[1194].speaker SPEAKER_16
transcript.pyannote[1194].start 8386.31534375
transcript.pyannote[1194].end 8388.15471875
transcript.pyannote[1195].speaker SPEAKER_16
transcript.pyannote[1195].start 8388.50909375
transcript.pyannote[1195].end 8399.08971875
transcript.pyannote[1196].speaker SPEAKER_16
transcript.pyannote[1196].start 8399.34284375
transcript.pyannote[1196].end 8419.42409375
transcript.pyannote[1197].speaker SPEAKER_16
transcript.pyannote[1197].start 8419.57596875
transcript.pyannote[1197].end 8422.73159375
transcript.pyannote[1198].speaker SPEAKER_16
transcript.pyannote[1198].start 8423.81159375
transcript.pyannote[1198].end 8426.86596875
transcript.pyannote[1199].speaker SPEAKER_16
transcript.pyannote[1199].start 8427.08534375
transcript.pyannote[1199].end 8428.41846875
transcript.pyannote[1200].speaker SPEAKER_16
transcript.pyannote[1200].start 8428.97534375
transcript.pyannote[1200].end 8430.44346875
transcript.pyannote[1201].speaker SPEAKER_16
transcript.pyannote[1201].start 8430.98346875
transcript.pyannote[1201].end 8431.30409375
transcript.pyannote[1202].speaker SPEAKER_16
transcript.pyannote[1202].start 8431.87784375
transcript.pyannote[1202].end 8435.32034375
transcript.pyannote[1203].speaker SPEAKER_16
transcript.pyannote[1203].start 8435.42159375
transcript.pyannote[1203].end 8472.71534375
transcript.pyannote[1204].speaker SPEAKER_16
transcript.pyannote[1204].start 8472.86721875
transcript.pyannote[1204].end 8479.68471875
transcript.pyannote[1205].speaker SPEAKER_16
transcript.pyannote[1205].start 8479.98846875
transcript.pyannote[1205].end 8484.10596875
transcript.pyannote[1206].speaker SPEAKER_16
transcript.pyannote[1206].start 8484.47721875
transcript.pyannote[1206].end 8486.80596875
transcript.pyannote[1207].speaker SPEAKER_16
transcript.pyannote[1207].start 8487.41346875
transcript.pyannote[1207].end 8497.15034375
transcript.pyannote[1208].speaker SPEAKER_16
transcript.pyannote[1208].start 8497.90971875
transcript.pyannote[1208].end 8501.41971875
transcript.pyannote[1209].speaker SPEAKER_16
transcript.pyannote[1209].start 8501.70659375
transcript.pyannote[1209].end 8503.63034375
transcript.pyannote[1210].speaker SPEAKER_16
transcript.pyannote[1210].start 8503.84971875
transcript.pyannote[1210].end 8511.12284375
transcript.pyannote[1211].speaker SPEAKER_16
transcript.pyannote[1211].start 8511.54471875
transcript.pyannote[1211].end 8513.83971875
transcript.pyannote[1212].speaker SPEAKER_16
transcript.pyannote[1212].start 8514.12659375
transcript.pyannote[1212].end 8514.70034375
transcript.pyannote[1213].speaker SPEAKER_16
transcript.pyannote[1213].start 8515.30784375
transcript.pyannote[1213].end 8519.72909375
transcript.pyannote[1214].speaker SPEAKER_16
transcript.pyannote[1214].start 8519.99909375
transcript.pyannote[1214].end 8523.32346875
transcript.pyannote[1215].speaker SPEAKER_16
transcript.pyannote[1215].start 8523.93096875
transcript.pyannote[1215].end 8541.10971875
transcript.pyannote[1216].speaker SPEAKER_16
transcript.pyannote[1216].start 8541.49784375
transcript.pyannote[1216].end 8562.94596875
transcript.pyannote[1217].speaker SPEAKER_16
transcript.pyannote[1217].start 8563.58721875
transcript.pyannote[1217].end 8566.35471875
transcript.pyannote[1218].speaker SPEAKER_16
transcript.pyannote[1218].start 8566.64159375
transcript.pyannote[1218].end 8567.02971875
transcript.pyannote[1219].speaker SPEAKER_16
transcript.pyannote[1219].start 8567.87346875
transcript.pyannote[1219].end 8571.26534375
transcript.pyannote[1220].speaker SPEAKER_16
transcript.pyannote[1220].start 8571.53534375
transcript.pyannote[1220].end 8572.80096875
transcript.pyannote[1221].speaker SPEAKER_16
transcript.pyannote[1221].start 8573.56034375
transcript.pyannote[1221].end 8576.86784375
transcript.pyannote[1222].speaker SPEAKER_16
transcript.pyannote[1222].start 8577.39096875
transcript.pyannote[1222].end 8578.69034375
transcript.pyannote[1223].speaker SPEAKER_16
transcript.pyannote[1223].start 8579.17971875
transcript.pyannote[1223].end 8581.66034375
transcript.pyannote[1224].speaker SPEAKER_16
transcript.pyannote[1224].start 8581.86284375
transcript.pyannote[1224].end 8583.09471875
transcript.pyannote[1225].speaker SPEAKER_16
transcript.pyannote[1225].start 8583.70221875
transcript.pyannote[1225].end 8587.49909375
transcript.pyannote[1226].speaker SPEAKER_16
transcript.pyannote[1226].start 8587.83659375
transcript.pyannote[1226].end 8596.12221875
transcript.pyannote[1227].speaker SPEAKER_16
transcript.pyannote[1227].start 8597.33721875
transcript.pyannote[1227].end 8598.34971875
transcript.pyannote[1228].speaker SPEAKER_16
transcript.pyannote[1228].start 8599.27784375
transcript.pyannote[1228].end 8600.83034375
transcript.pyannote[1229].speaker SPEAKER_16
transcript.pyannote[1229].start 8600.96534375
transcript.pyannote[1229].end 8602.28159375
transcript.pyannote[1230].speaker SPEAKER_16
transcript.pyannote[1230].start 8602.46721875
transcript.pyannote[1230].end 8610.58409375
transcript.pyannote[1231].speaker SPEAKER_16
transcript.pyannote[1231].start 8610.70221875
transcript.pyannote[1231].end 8616.64221875
transcript.pyannote[1232].speaker SPEAKER_16
transcript.pyannote[1232].start 8617.58721875
transcript.pyannote[1232].end 8645.43096875
transcript.pyannote[1233].speaker SPEAKER_16
transcript.pyannote[1233].start 8646.08909375
transcript.pyannote[1233].end 8646.89909375
transcript.pyannote[1234].speaker SPEAKER_16
transcript.pyannote[1234].start 8647.45596875
transcript.pyannote[1234].end 8656.97346875
transcript.pyannote[1235].speaker SPEAKER_16
transcript.pyannote[1235].start 8657.88471875
transcript.pyannote[1235].end 8662.27221875
transcript.pyannote[1236].speaker SPEAKER_16
transcript.pyannote[1236].start 8663.09909375
transcript.pyannote[1236].end 8678.74221875
transcript.pyannote[1237].speaker SPEAKER_16
transcript.pyannote[1237].start 8679.07971875
transcript.pyannote[1237].end 8680.02471875
transcript.pyannote[1238].speaker SPEAKER_16
transcript.pyannote[1238].start 8680.32846875
transcript.pyannote[1238].end 8681.08784375
transcript.pyannote[1239].speaker SPEAKER_16
transcript.pyannote[1239].start 8681.32409375
transcript.pyannote[1239].end 8691.43221875
transcript.pyannote[1240].speaker SPEAKER_16
transcript.pyannote[1240].start 8692.30971875
transcript.pyannote[1240].end 8702.01284375
transcript.pyannote[1241].speaker SPEAKER_16
transcript.pyannote[1241].start 8702.87346875
transcript.pyannote[1241].end 8703.56534375
transcript.pyannote[1242].speaker SPEAKER_16
transcript.pyannote[1242].start 8704.13909375
transcript.pyannote[1242].end 8719.57971875
transcript.pyannote[1243].speaker SPEAKER_16
transcript.pyannote[1243].start 8720.25471875
transcript.pyannote[1243].end 8726.54909375
transcript.pyannote[1244].speaker SPEAKER_16
transcript.pyannote[1244].start 8727.12284375
transcript.pyannote[1244].end 8727.39284375
transcript.pyannote[1245].speaker SPEAKER_16
transcript.pyannote[1245].start 8728.11846875
transcript.pyannote[1245].end 8733.75471875
transcript.pyannote[1246].speaker SPEAKER_16
transcript.pyannote[1246].start 8734.24409375
transcript.pyannote[1246].end 8735.10471875
transcript.pyannote[1247].speaker SPEAKER_16
transcript.pyannote[1247].start 8735.49284375
transcript.pyannote[1247].end 8741.61846875
transcript.pyannote[1248].speaker SPEAKER_16
transcript.pyannote[1248].start 8743.49159375
transcript.pyannote[1248].end 8745.48284375
transcript.pyannote[1249].speaker SPEAKER_16
transcript.pyannote[1249].start 8746.24221875
transcript.pyannote[1249].end 8747.71034375
transcript.pyannote[1250].speaker SPEAKER_16
transcript.pyannote[1250].start 8747.89596875
transcript.pyannote[1250].end 8752.38471875
transcript.pyannote[1251].speaker SPEAKER_16
transcript.pyannote[1251].start 8752.84034375
transcript.pyannote[1251].end 8758.89846875
transcript.pyannote[1252].speaker SPEAKER_16
transcript.pyannote[1252].start 8759.32034375
transcript.pyannote[1252].end 8760.14721875
transcript.pyannote[1253].speaker SPEAKER_16
transcript.pyannote[1253].start 8761.27784375
transcript.pyannote[1253].end 8762.22284375
transcript.pyannote[1254].speaker SPEAKER_16
transcript.pyannote[1254].start 8762.72909375
transcript.pyannote[1254].end 8763.74159375
transcript.pyannote[1255].speaker SPEAKER_16
transcript.pyannote[1255].start 8764.41659375
transcript.pyannote[1255].end 8765.14221875
transcript.pyannote[1256].speaker SPEAKER_16
transcript.pyannote[1256].start 8765.59784375
transcript.pyannote[1256].end 8768.09534375
transcript.pyannote[1257].speaker SPEAKER_16
transcript.pyannote[1257].start 8768.53409375
transcript.pyannote[1257].end 8769.64784375
transcript.pyannote[1258].speaker SPEAKER_16
transcript.pyannote[1258].start 8769.81659375
transcript.pyannote[1258].end 8777.35971875
transcript.pyannote[1259].speaker SPEAKER_16
transcript.pyannote[1259].start 8777.68034375
transcript.pyannote[1259].end 8778.40596875
transcript.pyannote[1260].speaker SPEAKER_16
transcript.pyannote[1260].start 8778.70971875
transcript.pyannote[1260].end 8784.66659375
transcript.pyannote[1261].speaker SPEAKER_16
transcript.pyannote[1261].start 8785.24034375
transcript.pyannote[1261].end 8787.38346875
transcript.pyannote[1262].speaker SPEAKER_16
transcript.pyannote[1262].start 8788.93596875
transcript.pyannote[1262].end 8789.37471875
transcript.pyannote[1263].speaker SPEAKER_16
transcript.pyannote[1263].start 8790.28596875
transcript.pyannote[1263].end 8791.58534375
transcript.pyannote[1264].speaker SPEAKER_16
transcript.pyannote[1264].start 8792.68221875
transcript.pyannote[1264].end 8794.72409375
transcript.pyannote[1265].speaker SPEAKER_16
transcript.pyannote[1265].start 8795.04471875
transcript.pyannote[1265].end 8796.71534375
transcript.pyannote[1266].speaker SPEAKER_16
transcript.pyannote[1266].start 8797.20471875
transcript.pyannote[1266].end 8801.67659375
transcript.pyannote[1267].speaker SPEAKER_16
transcript.pyannote[1267].start 8801.84534375
transcript.pyannote[1267].end 8804.39346875
transcript.pyannote[1268].speaker SPEAKER_16
transcript.pyannote[1268].start 8804.81534375
transcript.pyannote[1268].end 8805.99659375
transcript.pyannote[1269].speaker SPEAKER_16
transcript.pyannote[1269].start 8806.92471875
transcript.pyannote[1269].end 8807.75159375
transcript.pyannote[1270].speaker SPEAKER_16
transcript.pyannote[1270].start 8808.47721875
transcript.pyannote[1270].end 8814.26534375
transcript.pyannote[1271].speaker SPEAKER_16
transcript.pyannote[1271].start 8814.48471875
transcript.pyannote[1271].end 8816.39159375
transcript.pyannote[1272].speaker SPEAKER_16
transcript.pyannote[1272].start 8816.62784375
transcript.pyannote[1272].end 8817.18471875
transcript.pyannote[1273].speaker SPEAKER_16
transcript.pyannote[1273].start 8817.42096875
transcript.pyannote[1273].end 8819.10846875
transcript.pyannote[1274].speaker SPEAKER_16
transcript.pyannote[1274].start 8819.88471875
transcript.pyannote[1274].end 8823.56346875
transcript.pyannote[1275].speaker SPEAKER_16
transcript.pyannote[1275].start 8824.69409375
transcript.pyannote[1275].end 8825.70659375
transcript.pyannote[1276].speaker SPEAKER_16
transcript.pyannote[1276].start 8826.11159375
transcript.pyannote[1276].end 8829.52034375
transcript.pyannote[1277].speaker SPEAKER_16
transcript.pyannote[1277].start 8831.64659375
transcript.pyannote[1277].end 8832.20346875
transcript.pyannote[1278].speaker SPEAKER_16
transcript.pyannote[1278].start 8833.21596875
transcript.pyannote[1278].end 8835.10596875
transcript.pyannote[1279].speaker SPEAKER_16
transcript.pyannote[1279].start 8835.46034375
transcript.pyannote[1279].end 8836.60784375
transcript.pyannote[1280].speaker SPEAKER_16
transcript.pyannote[1280].start 8837.06346875
transcript.pyannote[1280].end 8838.78471875
transcript.pyannote[1281].speaker SPEAKER_16
transcript.pyannote[1281].start 8839.47659375
transcript.pyannote[1281].end 8840.42159375
transcript.pyannote[1282].speaker SPEAKER_16
transcript.pyannote[1282].start 8840.79284375
transcript.pyannote[1282].end 8841.31596875
transcript.pyannote[1283].speaker SPEAKER_16
transcript.pyannote[1283].start 8841.95721875
transcript.pyannote[1283].end 8846.80034375
transcript.pyannote[1284].speaker SPEAKER_16
transcript.pyannote[1284].start 8847.08721875
transcript.pyannote[1284].end 8848.16721875
transcript.pyannote[1285].speaker SPEAKER_16
transcript.pyannote[1285].start 8848.23471875
transcript.pyannote[1285].end 8849.26409375
transcript.pyannote[1286].speaker SPEAKER_16
transcript.pyannote[1286].start 8849.55096875
transcript.pyannote[1286].end 8851.47471875
transcript.pyannote[1287].speaker SPEAKER_16
transcript.pyannote[1287].start 8851.77846875
transcript.pyannote[1287].end 8865.12659375
transcript.pyannote[1288].speaker SPEAKER_16
transcript.pyannote[1288].start 8865.75096875
transcript.pyannote[1288].end 8869.78409375
transcript.pyannote[1289].speaker SPEAKER_16
transcript.pyannote[1289].start 8870.45909375
transcript.pyannote[1289].end 8884.48221875
transcript.pyannote[1290].speaker SPEAKER_16
transcript.pyannote[1290].start 8885.19096875
transcript.pyannote[1290].end 8889.64596875
transcript.pyannote[1291].speaker SPEAKER_16
transcript.pyannote[1291].start 8890.27034375
transcript.pyannote[1291].end 8893.74659375
transcript.pyannote[1292].speaker SPEAKER_16
transcript.pyannote[1292].start 8893.96596875
transcript.pyannote[1292].end 8894.77596875
transcript.pyannote[1293].speaker SPEAKER_16
transcript.pyannote[1293].start 8895.40034375
transcript.pyannote[1293].end 8895.99096875
transcript.pyannote[1294].speaker SPEAKER_16
transcript.pyannote[1294].start 8896.76721875
transcript.pyannote[1294].end 8897.84721875
transcript.pyannote[1295].speaker SPEAKER_16
transcript.pyannote[1295].start 8898.57284375
transcript.pyannote[1295].end 8899.77096875
transcript.pyannote[1296].speaker SPEAKER_16
transcript.pyannote[1296].start 8900.15909375
transcript.pyannote[1296].end 8901.86346875
transcript.pyannote[1297].speaker SPEAKER_16
transcript.pyannote[1297].start 8902.87596875
transcript.pyannote[1297].end 8903.78721875
transcript.pyannote[1298].speaker SPEAKER_16
transcript.pyannote[1298].start 8904.17534375
transcript.pyannote[1298].end 8921.57346875
transcript.pyannote[1299].speaker SPEAKER_16
transcript.pyannote[1299].start 8922.21471875
transcript.pyannote[1299].end 8937.75659375
transcript.pyannote[1300].speaker SPEAKER_16
transcript.pyannote[1300].start 8938.53284375
transcript.pyannote[1300].end 8939.61284375
transcript.pyannote[1301].speaker SPEAKER_16
transcript.pyannote[1301].start 8940.27096875
transcript.pyannote[1301].end 8942.02596875
transcript.pyannote[1302].speaker SPEAKER_16
transcript.pyannote[1302].start 8942.31284375
transcript.pyannote[1302].end 8943.44346875
transcript.pyannote[1303].speaker SPEAKER_16
transcript.pyannote[1303].start 8944.38846875
transcript.pyannote[1303].end 8946.64971875
transcript.pyannote[1304].speaker SPEAKER_16
transcript.pyannote[1304].start 8946.88596875
transcript.pyannote[1304].end 8947.44284375
transcript.pyannote[1305].speaker SPEAKER_16
transcript.pyannote[1305].start 8948.18534375
transcript.pyannote[1305].end 8956.55534375
transcript.pyannote[1306].speaker SPEAKER_16
transcript.pyannote[1306].start 8956.89284375
transcript.pyannote[1306].end 8991.95909375
transcript.pyannote[1307].speaker SPEAKER_16
transcript.pyannote[1307].start 8992.34721875
transcript.pyannote[1307].end 9022.84034375
transcript.pyannote[1308].speaker SPEAKER_16
transcript.pyannote[1308].start 9023.05971875
transcript.pyannote[1308].end 9025.32096875
transcript.pyannote[1309].speaker SPEAKER_09
transcript.pyannote[1309].start 9023.98784375
transcript.pyannote[1309].end 9024.13971875
transcript.pyannote[1310].speaker SPEAKER_16
transcript.pyannote[1310].start 9026.02971875
transcript.pyannote[1310].end 9030.97409375
transcript.pyannote[1311].speaker SPEAKER_01
transcript.pyannote[1311].start 9028.88159375
transcript.pyannote[1311].end 9028.96596875
transcript.pyannote[1312].speaker SPEAKER_01
transcript.pyannote[1312].start 9030.97409375
transcript.pyannote[1312].end 9049.78971875
transcript.pyannote[1313].speaker SPEAKER_01
transcript.pyannote[1313].start 9877.94721875
transcript.pyannote[1313].end 9883.63409375
transcript.pyannote[1314].speaker SPEAKER_07
transcript.pyannote[1314].start 9884.68034375
transcript.pyannote[1314].end 9891.34596875
transcript.pyannote[1315].speaker SPEAKER_07
transcript.pyannote[1315].start 9891.91971875
transcript.pyannote[1315].end 9894.73784375
transcript.pyannote[1316].speaker SPEAKER_07
transcript.pyannote[1316].start 9894.95721875
transcript.pyannote[1316].end 9908.69346875
transcript.pyannote[1317].speaker SPEAKER_07
transcript.pyannote[1317].start 9909.41909375
transcript.pyannote[1317].end 9968.34659375
transcript.pyannote[1318].speaker SPEAKER_07
transcript.pyannote[1318].start 9969.25784375
transcript.pyannote[1318].end 9982.75784375
transcript.pyannote[1319].speaker SPEAKER_07
transcript.pyannote[1319].start 9983.12909375
transcript.pyannote[1319].end 10004.88096875
transcript.pyannote[1320].speaker SPEAKER_07
transcript.pyannote[1320].start 10006.26471875
transcript.pyannote[1320].end 10033.97346875
transcript.pyannote[1321].speaker SPEAKER_07
transcript.pyannote[1321].start 10035.15471875
transcript.pyannote[1321].end 10038.76596875
transcript.pyannote[1322].speaker SPEAKER_07
transcript.pyannote[1322].start 10039.05284375
transcript.pyannote[1322].end 10052.18159375
transcript.pyannote[1323].speaker SPEAKER_07
transcript.pyannote[1323].start 10052.58659375
transcript.pyannote[1323].end 10062.62721875
transcript.pyannote[1324].speaker SPEAKER_07
transcript.pyannote[1324].start 10063.01534375
transcript.pyannote[1324].end 10068.75284375
transcript.pyannote[1325].speaker SPEAKER_00
transcript.pyannote[1325].start 10064.58471875
transcript.pyannote[1325].end 10064.92221875
transcript.pyannote[1326].speaker SPEAKER_07
transcript.pyannote[1326].start 10069.07346875
transcript.pyannote[1326].end 10077.40971875
transcript.pyannote[1327].speaker SPEAKER_07
transcript.pyannote[1327].start 10078.65846875
transcript.pyannote[1327].end 10091.66909375
transcript.pyannote[1328].speaker SPEAKER_07
transcript.pyannote[1328].start 10092.19221875
transcript.pyannote[1328].end 10100.59596875
transcript.pyannote[1329].speaker SPEAKER_07
transcript.pyannote[1329].start 10101.25409375
transcript.pyannote[1329].end 10109.99534375
transcript.pyannote[1330].speaker SPEAKER_07
transcript.pyannote[1330].start 10111.44659375
transcript.pyannote[1330].end 10119.73221875
transcript.pyannote[1331].speaker SPEAKER_07
transcript.pyannote[1331].start 10120.03596875
transcript.pyannote[1331].end 10121.26784375
transcript.pyannote[1332].speaker SPEAKER_07
transcript.pyannote[1332].start 10121.65596875
transcript.pyannote[1332].end 10128.18659375
transcript.pyannote[1333].speaker SPEAKER_07
transcript.pyannote[1333].start 10129.38471875
transcript.pyannote[1333].end 10138.31159375
transcript.pyannote[1334].speaker SPEAKER_07
transcript.pyannote[1334].start 10138.91909375
transcript.pyannote[1334].end 10164.01221875
transcript.pyannote[1335].speaker SPEAKER_07
transcript.pyannote[1335].start 10164.40034375
transcript.pyannote[1335].end 10184.14409375
transcript.pyannote[1336].speaker SPEAKER_07
transcript.pyannote[1336].start 10185.10596875
transcript.pyannote[1336].end 10224.28971875
transcript.pyannote[1337].speaker SPEAKER_07
transcript.pyannote[1337].start 10224.77909375
transcript.pyannote[1337].end 10237.23284375
transcript.pyannote[1338].speaker SPEAKER_07
transcript.pyannote[1338].start 10237.77284375
transcript.pyannote[1338].end 10247.03721875
transcript.pyannote[1339].speaker SPEAKER_07
transcript.pyannote[1339].start 10248.91034375
transcript.pyannote[1339].end 10316.17409375
transcript.pyannote[1340].speaker SPEAKER_07
transcript.pyannote[1340].start 10317.86159375
transcript.pyannote[1340].end 10328.29034375
transcript.pyannote[1341].speaker SPEAKER_07
transcript.pyannote[1341].start 10328.40846875
transcript.pyannote[1341].end 10331.71596875
transcript.pyannote[1342].speaker SPEAKER_07
transcript.pyannote[1342].start 10331.95221875
transcript.pyannote[1342].end 10333.35284375
transcript.pyannote[1343].speaker SPEAKER_07
transcript.pyannote[1343].start 10334.31471875
transcript.pyannote[1343].end 10398.01784375
transcript.pyannote[1344].speaker SPEAKER_07
transcript.pyannote[1344].start 10399.33409375
transcript.pyannote[1344].end 10412.22659375
transcript.pyannote[1345].speaker SPEAKER_07
transcript.pyannote[1345].start 10412.44596875
transcript.pyannote[1345].end 10415.71971875
transcript.pyannote[1346].speaker SPEAKER_07
transcript.pyannote[1346].start 10416.09096875
transcript.pyannote[1346].end 10427.32971875
transcript.pyannote[1347].speaker SPEAKER_01
transcript.pyannote[1347].start 10427.83596875
transcript.pyannote[1347].end 10431.53159375
transcript.pyannote[1348].speaker SPEAKER_01
transcript.pyannote[1348].start 10431.95346875
transcript.pyannote[1348].end 10433.42159375
transcript.pyannote[1349].speaker SPEAKER_11
transcript.pyannote[1349].start 10436.54346875
transcript.pyannote[1349].end 10475.77784375
transcript.pyannote[1350].speaker SPEAKER_11
transcript.pyannote[1350].start 10476.06471875
transcript.pyannote[1350].end 10505.20784375
transcript.pyannote[1351].speaker SPEAKER_11
transcript.pyannote[1351].start 10505.52846875
transcript.pyannote[1351].end 10507.38471875
transcript.pyannote[1352].speaker SPEAKER_11
transcript.pyannote[1352].start 10507.82346875
transcript.pyannote[1352].end 10517.56034375
transcript.pyannote[1353].speaker SPEAKER_11
transcript.pyannote[1353].start 10518.13409375
transcript.pyannote[1353].end 10532.52846875
transcript.pyannote[1354].speaker SPEAKER_11
transcript.pyannote[1354].start 10533.00096875
transcript.pyannote[1354].end 10535.63346875
transcript.pyannote[1355].speaker SPEAKER_11
transcript.pyannote[1355].start 10536.22409375
transcript.pyannote[1355].end 10540.27409375
transcript.pyannote[1356].speaker SPEAKER_11
transcript.pyannote[1356].start 10541.08409375
transcript.pyannote[1356].end 10553.26784375
transcript.pyannote[1357].speaker SPEAKER_11
transcript.pyannote[1357].start 10553.68971875
transcript.pyannote[1357].end 10556.10284375
transcript.pyannote[1358].speaker SPEAKER_11
transcript.pyannote[1358].start 10557.01409375
transcript.pyannote[1358].end 10565.01284375
transcript.pyannote[1359].speaker SPEAKER_11
transcript.pyannote[1359].start 10565.77221875
transcript.pyannote[1359].end 10616.09346875
transcript.pyannote[1360].speaker SPEAKER_11
transcript.pyannote[1360].start 10617.51096875
transcript.pyannote[1360].end 10618.27034375
transcript.pyannote[1361].speaker SPEAKER_11
transcript.pyannote[1361].start 10618.37159375
transcript.pyannote[1361].end 10629.42471875
transcript.pyannote[1362].speaker SPEAKER_11
transcript.pyannote[1362].start 10630.42034375
transcript.pyannote[1362].end 10642.68846875
transcript.pyannote[1363].speaker SPEAKER_11
transcript.pyannote[1363].start 10643.07659375
transcript.pyannote[1363].end 10651.63221875
transcript.pyannote[1364].speaker SPEAKER_11
transcript.pyannote[1364].start 10652.40846875
transcript.pyannote[1364].end 10653.60659375
transcript.pyannote[1365].speaker SPEAKER_11
transcript.pyannote[1365].start 10653.79221875
transcript.pyannote[1365].end 10656.45846875
transcript.pyannote[1366].speaker SPEAKER_11
transcript.pyannote[1366].start 10656.94784375
transcript.pyannote[1366].end 10657.38659375
transcript.pyannote[1367].speaker SPEAKER_11
transcript.pyannote[1367].start 10657.60596875
transcript.pyannote[1367].end 10665.33471875
transcript.pyannote[1368].speaker SPEAKER_11
transcript.pyannote[1368].start 10666.02659375
transcript.pyannote[1368].end 10671.69659375
transcript.pyannote[1369].speaker SPEAKER_11
transcript.pyannote[1369].start 10671.98346875
transcript.pyannote[1369].end 10674.07596875
transcript.pyannote[1370].speaker SPEAKER_11
transcript.pyannote[1370].start 10674.93659375
transcript.pyannote[1370].end 10676.40471875
transcript.pyannote[1371].speaker SPEAKER_11
transcript.pyannote[1371].start 10677.09659375
transcript.pyannote[1371].end 10682.71596875
transcript.pyannote[1372].speaker SPEAKER_11
transcript.pyannote[1372].start 10683.08721875
transcript.pyannote[1372].end 10684.53846875
transcript.pyannote[1373].speaker SPEAKER_11
transcript.pyannote[1373].start 10684.75784375
transcript.pyannote[1373].end 10694.29221875
transcript.pyannote[1374].speaker SPEAKER_11
transcript.pyannote[1374].start 10695.77721875
transcript.pyannote[1374].end 10708.41659375
transcript.pyannote[1375].speaker SPEAKER_11
transcript.pyannote[1375].start 10708.70346875
transcript.pyannote[1375].end 10715.43659375
transcript.pyannote[1376].speaker SPEAKER_11
transcript.pyannote[1376].start 10716.02721875
transcript.pyannote[1376].end 10717.64721875
transcript.pyannote[1377].speaker SPEAKER_11
transcript.pyannote[1377].start 10717.93409375
transcript.pyannote[1377].end 10720.61721875
transcript.pyannote[1378].speaker SPEAKER_11
transcript.pyannote[1378].start 10720.97159375
transcript.pyannote[1378].end 10749.81096875
transcript.pyannote[1379].speaker SPEAKER_11
transcript.pyannote[1379].start 10750.78971875
transcript.pyannote[1379].end 10760.25659375
transcript.pyannote[1380].speaker SPEAKER_11
transcript.pyannote[1380].start 10760.76284375
transcript.pyannote[1380].end 10762.02846875
transcript.pyannote[1381].speaker SPEAKER_11
transcript.pyannote[1381].start 10762.46721875
transcript.pyannote[1381].end 10767.98534375
transcript.pyannote[1382].speaker SPEAKER_11
transcript.pyannote[1382].start 10769.58846875
transcript.pyannote[1382].end 10772.71034375
transcript.pyannote[1383].speaker SPEAKER_11
transcript.pyannote[1383].start 10773.68909375
transcript.pyannote[1383].end 10776.10221875
transcript.pyannote[1384].speaker SPEAKER_11
transcript.pyannote[1384].start 10776.64221875
transcript.pyannote[1384].end 10796.70659375
transcript.pyannote[1385].speaker SPEAKER_11
transcript.pyannote[1385].start 10797.02721875
transcript.pyannote[1385].end 10804.04721875
transcript.pyannote[1386].speaker SPEAKER_11
transcript.pyannote[1386].start 10804.85721875
transcript.pyannote[1386].end 10806.98346875
transcript.pyannote[1387].speaker SPEAKER_11
transcript.pyannote[1387].start 10807.82721875
transcript.pyannote[1387].end 10834.05096875
transcript.pyannote[1388].speaker SPEAKER_11
transcript.pyannote[1388].start 10834.50659375
transcript.pyannote[1388].end 10854.38534375
transcript.pyannote[1389].speaker SPEAKER_11
transcript.pyannote[1389].start 10854.90846875
transcript.pyannote[1389].end 10861.08471875
transcript.pyannote[1390].speaker SPEAKER_11
transcript.pyannote[1390].start 10861.86096875
transcript.pyannote[1390].end 10865.50596875
transcript.pyannote[1391].speaker SPEAKER_11
transcript.pyannote[1391].start 10865.79284375
transcript.pyannote[1391].end 10866.51846875
transcript.pyannote[1392].speaker SPEAKER_11
transcript.pyannote[1392].start 10866.68721875
transcript.pyannote[1392].end 10867.80096875
transcript.pyannote[1393].speaker SPEAKER_11
transcript.pyannote[1393].start 10868.37471875
transcript.pyannote[1393].end 10869.03284375
transcript.pyannote[1394].speaker SPEAKER_11
transcript.pyannote[1394].start 10869.06659375
transcript.pyannote[1394].end 10872.81284375
transcript.pyannote[1395].speaker SPEAKER_11
transcript.pyannote[1395].start 10875.54659375
transcript.pyannote[1395].end 10875.95159375
transcript.pyannote[1396].speaker SPEAKER_01
transcript.pyannote[1396].start 10876.71096875
transcript.pyannote[1396].end 10899.61034375
transcript.pyannote[1397].speaker SPEAKER_13
transcript.pyannote[1397].start 10903.10346875
transcript.pyannote[1397].end 10904.48721875
transcript.pyannote[1398].speaker SPEAKER_13
transcript.pyannote[1398].start 10905.48284375
transcript.pyannote[1398].end 10909.04346875
transcript.pyannote[1399].speaker SPEAKER_13
transcript.pyannote[1399].start 10909.78596875
transcript.pyannote[1399].end 10912.24971875
transcript.pyannote[1400].speaker SPEAKER_13
transcript.pyannote[1400].start 10913.22846875
transcript.pyannote[1400].end 10914.51096875
transcript.pyannote[1401].speaker SPEAKER_13
transcript.pyannote[1401].start 10915.75971875
transcript.pyannote[1401].end 10919.53971875
transcript.pyannote[1402].speaker SPEAKER_13
transcript.pyannote[1402].start 10921.37909375
transcript.pyannote[1402].end 10922.02034375
transcript.pyannote[1403].speaker SPEAKER_13
transcript.pyannote[1403].start 10923.20159375
transcript.pyannote[1403].end 10925.58096875
transcript.pyannote[1404].speaker SPEAKER_13
transcript.pyannote[1404].start 10926.47534375
transcript.pyannote[1404].end 10928.53409375
transcript.pyannote[1405].speaker SPEAKER_13
transcript.pyannote[1405].start 10929.69846875
transcript.pyannote[1405].end 10931.23409375
transcript.pyannote[1406].speaker SPEAKER_13
transcript.pyannote[1406].start 10932.26346875
transcript.pyannote[1406].end 10933.71471875
transcript.pyannote[1407].speaker SPEAKER_13
transcript.pyannote[1407].start 10934.01846875
transcript.pyannote[1407].end 10936.46534375
transcript.pyannote[1408].speaker SPEAKER_13
transcript.pyannote[1408].start 10937.29221875
transcript.pyannote[1408].end 10937.91659375
transcript.pyannote[1409].speaker SPEAKER_13
transcript.pyannote[1409].start 10938.54096875
transcript.pyannote[1409].end 10939.31721875
transcript.pyannote[1410].speaker SPEAKER_13
transcript.pyannote[1410].start 10940.14409375
transcript.pyannote[1410].end 10941.27471875
transcript.pyannote[1411].speaker SPEAKER_13
transcript.pyannote[1411].start 10941.74721875
transcript.pyannote[1411].end 10943.73846875
transcript.pyannote[1412].speaker SPEAKER_13
transcript.pyannote[1412].start 10944.90284375
transcript.pyannote[1412].end 10945.76346875
transcript.pyannote[1413].speaker SPEAKER_13
transcript.pyannote[1413].start 10946.40471875
transcript.pyannote[1413].end 10947.48471875
transcript.pyannote[1414].speaker SPEAKER_13
transcript.pyannote[1414].start 10947.88971875
transcript.pyannote[1414].end 10948.76721875
transcript.pyannote[1415].speaker SPEAKER_13
transcript.pyannote[1415].start 10949.50971875
transcript.pyannote[1415].end 10950.43784375
transcript.pyannote[1416].speaker SPEAKER_13
transcript.pyannote[1416].start 10951.43346875
transcript.pyannote[1416].end 10953.96471875
transcript.pyannote[1417].speaker SPEAKER_13
transcript.pyannote[1417].start 10954.62284375
transcript.pyannote[1417].end 10955.80409375
transcript.pyannote[1418].speaker SPEAKER_13
transcript.pyannote[1418].start 10956.34409375
transcript.pyannote[1418].end 10957.32284375
transcript.pyannote[1419].speaker SPEAKER_13
transcript.pyannote[1419].start 10957.91346875
transcript.pyannote[1419].end 10958.70659375
transcript.pyannote[1420].speaker SPEAKER_13
transcript.pyannote[1420].start 10959.34784375
transcript.pyannote[1420].end 10960.88346875
transcript.pyannote[1421].speaker SPEAKER_13
transcript.pyannote[1421].start 10962.06471875
transcript.pyannote[1421].end 10962.85784375
transcript.pyannote[1422].speaker SPEAKER_13
transcript.pyannote[1422].start 10963.80284375
transcript.pyannote[1422].end 10964.71409375
transcript.pyannote[1423].speaker SPEAKER_13
transcript.pyannote[1423].start 10967.17784375
transcript.pyannote[1423].end 10968.12284375
transcript.pyannote[1424].speaker SPEAKER_13
transcript.pyannote[1424].start 10968.47721875
transcript.pyannote[1424].end 10969.43909375
transcript.pyannote[1425].speaker SPEAKER_13
transcript.pyannote[1425].start 10970.48534375
transcript.pyannote[1425].end 10971.24471875
transcript.pyannote[1426].speaker SPEAKER_13
transcript.pyannote[1426].start 10971.88596875
transcript.pyannote[1426].end 10973.37096875
transcript.pyannote[1427].speaker SPEAKER_13
transcript.pyannote[1427].start 10973.77596875
transcript.pyannote[1427].end 10974.99096875
transcript.pyannote[1428].speaker SPEAKER_13
transcript.pyannote[1428].start 10975.54784375
transcript.pyannote[1428].end 10978.38284375
transcript.pyannote[1429].speaker SPEAKER_13
transcript.pyannote[1429].start 10978.87221875
transcript.pyannote[1429].end 10983.52971875
transcript.pyannote[1430].speaker SPEAKER_13
transcript.pyannote[1430].start 10984.30596875
transcript.pyannote[1430].end 10985.48721875
transcript.pyannote[1431].speaker SPEAKER_13
transcript.pyannote[1431].start 10985.58846875
transcript.pyannote[1431].end 10990.39784375
transcript.pyannote[1432].speaker SPEAKER_13
transcript.pyannote[1432].start 10990.78596875
transcript.pyannote[1432].end 10994.12721875
transcript.pyannote[1433].speaker SPEAKER_13
transcript.pyannote[1433].start 10994.97096875
transcript.pyannote[1433].end 10995.73034375
transcript.pyannote[1434].speaker SPEAKER_13
transcript.pyannote[1434].start 10996.89471875
transcript.pyannote[1434].end 10998.19409375
transcript.pyannote[1435].speaker SPEAKER_13
transcript.pyannote[1435].start 10999.74659375
transcript.pyannote[1435].end 11002.26096875
transcript.pyannote[1436].speaker SPEAKER_13
transcript.pyannote[1436].start 11002.83471875
transcript.pyannote[1436].end 11003.47596875
transcript.pyannote[1437].speaker SPEAKER_13
transcript.pyannote[1437].start 11004.16784375
transcript.pyannote[1437].end 11005.51784375
transcript.pyannote[1438].speaker SPEAKER_13
transcript.pyannote[1438].start 11006.73284375
transcript.pyannote[1438].end 11007.81284375
transcript.pyannote[1439].speaker SPEAKER_13
transcript.pyannote[1439].start 11008.01534375
transcript.pyannote[1439].end 11010.36096875
transcript.pyannote[1440].speaker SPEAKER_13
transcript.pyannote[1440].start 11011.47471875
transcript.pyannote[1440].end 11012.68971875
transcript.pyannote[1441].speaker SPEAKER_13
transcript.pyannote[1441].start 11013.58409375
transcript.pyannote[1441].end 11014.02284375
transcript.pyannote[1442].speaker SPEAKER_13
transcript.pyannote[1442].start 11014.49534375
transcript.pyannote[1442].end 11018.46096875
transcript.pyannote[1443].speaker SPEAKER_13
transcript.pyannote[1443].start 11019.47346875
transcript.pyannote[1443].end 11020.57034375
transcript.pyannote[1444].speaker SPEAKER_13
transcript.pyannote[1444].start 11020.73909375
transcript.pyannote[1444].end 11022.13971875
transcript.pyannote[1445].speaker SPEAKER_13
transcript.pyannote[1445].start 11022.83159375
transcript.pyannote[1445].end 11028.75471875
transcript.pyannote[1446].speaker SPEAKER_13
transcript.pyannote[1446].start 11028.87284375
transcript.pyannote[1446].end 11030.18909375
transcript.pyannote[1447].speaker SPEAKER_13
transcript.pyannote[1447].start 11030.72909375
transcript.pyannote[1447].end 11031.87659375
transcript.pyannote[1448].speaker SPEAKER_13
transcript.pyannote[1448].start 11032.41659375
transcript.pyannote[1448].end 11034.03659375
transcript.pyannote[1449].speaker SPEAKER_13
transcript.pyannote[1449].start 11035.09971875
transcript.pyannote[1449].end 11036.61846875
transcript.pyannote[1450].speaker SPEAKER_13
transcript.pyannote[1450].start 11036.98971875
transcript.pyannote[1450].end 11037.79971875
transcript.pyannote[1451].speaker SPEAKER_13
transcript.pyannote[1451].start 11038.15409375
transcript.pyannote[1451].end 11038.84596875
transcript.pyannote[1452].speaker SPEAKER_13
transcript.pyannote[1452].start 11039.30159375
transcript.pyannote[1452].end 11039.65596875
transcript.pyannote[1453].speaker SPEAKER_13
transcript.pyannote[1453].start 11039.87534375
transcript.pyannote[1453].end 11040.90471875
transcript.pyannote[1454].speaker SPEAKER_13
transcript.pyannote[1454].start 11041.88346875
transcript.pyannote[1454].end 11042.42346875
transcript.pyannote[1455].speaker SPEAKER_13
transcript.pyannote[1455].start 11043.90846875
transcript.pyannote[1455].end 11046.97971875
transcript.pyannote[1456].speaker SPEAKER_13
transcript.pyannote[1456].start 11048.22846875
transcript.pyannote[1456].end 11049.56159375
transcript.pyannote[1457].speaker SPEAKER_13
transcript.pyannote[1457].start 11050.30409375
transcript.pyannote[1457].end 11055.95721875
transcript.pyannote[1458].speaker SPEAKER_13
transcript.pyannote[1458].start 11057.57721875
transcript.pyannote[1458].end 11061.61034375
transcript.pyannote[1459].speaker SPEAKER_13
transcript.pyannote[1459].start 11062.31909375
transcript.pyannote[1459].end 11064.10784375
transcript.pyannote[1460].speaker SPEAKER_13
transcript.pyannote[1460].start 11065.22159375
transcript.pyannote[1460].end 11065.87971875
transcript.pyannote[1461].speaker SPEAKER_13
transcript.pyannote[1461].start 11066.09909375
transcript.pyannote[1461].end 11067.73596875
transcript.pyannote[1462].speaker SPEAKER_13
transcript.pyannote[1462].start 11068.32659375
transcript.pyannote[1462].end 11069.05221875
transcript.pyannote[1463].speaker SPEAKER_13
transcript.pyannote[1463].start 11069.94659375
transcript.pyannote[1463].end 11071.22909375
transcript.pyannote[1464].speaker SPEAKER_13
transcript.pyannote[1464].start 11071.80284375
transcript.pyannote[1464].end 11074.41846875
transcript.pyannote[1465].speaker SPEAKER_13
transcript.pyannote[1465].start 11075.22846875
transcript.pyannote[1465].end 11077.20284375
transcript.pyannote[1466].speaker SPEAKER_13
transcript.pyannote[1466].start 11077.45596875
transcript.pyannote[1466].end 11078.09721875
transcript.pyannote[1467].speaker SPEAKER_13
transcript.pyannote[1467].start 11078.78909375
transcript.pyannote[1467].end 11081.80971875
transcript.pyannote[1468].speaker SPEAKER_13
transcript.pyannote[1468].start 11082.46784375
transcript.pyannote[1468].end 11083.07534375
transcript.pyannote[1469].speaker SPEAKER_13
transcript.pyannote[1469].start 11083.14284375
transcript.pyannote[1469].end 11085.85971875
transcript.pyannote[1470].speaker SPEAKER_13
transcript.pyannote[1470].start 11086.39971875
transcript.pyannote[1470].end 11087.17596875
transcript.pyannote[1471].speaker SPEAKER_13
transcript.pyannote[1471].start 11087.64846875
transcript.pyannote[1471].end 11088.05346875
transcript.pyannote[1472].speaker SPEAKER_01
transcript.pyannote[1472].start 11088.05346875
transcript.pyannote[1472].end 11088.07034375
transcript.pyannote[1473].speaker SPEAKER_01
transcript.pyannote[1473].start 11088.34034375
transcript.pyannote[1473].end 11095.47846875
transcript.pyannote[1474].speaker SPEAKER_06
transcript.pyannote[1474].start 11096.35596875
transcript.pyannote[1474].end 11096.77784375
transcript.pyannote[1475].speaker SPEAKER_06
transcript.pyannote[1475].start 11097.43596875
transcript.pyannote[1475].end 11097.99284375
transcript.pyannote[1476].speaker SPEAKER_06
transcript.pyannote[1476].start 11098.41471875
transcript.pyannote[1476].end 11103.39284375
transcript.pyannote[1477].speaker SPEAKER_06
transcript.pyannote[1477].start 11103.67971875
transcript.pyannote[1477].end 11108.15159375
transcript.pyannote[1478].speaker SPEAKER_06
transcript.pyannote[1478].start 11108.65784375
transcript.pyannote[1478].end 11110.32846875
transcript.pyannote[1479].speaker SPEAKER_06
transcript.pyannote[1479].start 11110.54784375
transcript.pyannote[1479].end 11110.93596875
transcript.pyannote[1480].speaker SPEAKER_06
transcript.pyannote[1480].start 11111.23971875
transcript.pyannote[1480].end 11138.81346875
transcript.pyannote[1481].speaker SPEAKER_06
transcript.pyannote[1481].start 11139.42096875
transcript.pyannote[1481].end 11183.76846875
transcript.pyannote[1482].speaker SPEAKER_06
transcript.pyannote[1482].start 11184.64596875
transcript.pyannote[1482].end 11185.35471875
transcript.pyannote[1483].speaker SPEAKER_06
transcript.pyannote[1483].start 11185.65846875
transcript.pyannote[1483].end 11210.14409375
transcript.pyannote[1484].speaker SPEAKER_06
transcript.pyannote[1484].start 11211.39284375
transcript.pyannote[1484].end 11247.15096875
transcript.pyannote[1485].speaker SPEAKER_06
transcript.pyannote[1485].start 11247.50534375
transcript.pyannote[1485].end 11276.02409375
transcript.pyannote[1486].speaker SPEAKER_06
transcript.pyannote[1486].start 11276.46284375
transcript.pyannote[1486].end 11277.18846875
transcript.pyannote[1487].speaker SPEAKER_01
transcript.pyannote[1487].start 11277.88034375
transcript.pyannote[1487].end 11282.62221875
transcript.pyannote[1488].speaker SPEAKER_15
transcript.pyannote[1488].start 11284.09034375
transcript.pyannote[1488].end 11285.13659375
transcript.pyannote[1489].speaker SPEAKER_15
transcript.pyannote[1489].start 11285.76096875
transcript.pyannote[1489].end 11311.90034375
transcript.pyannote[1490].speaker SPEAKER_15
transcript.pyannote[1490].start 11312.42346875
transcript.pyannote[1490].end 11325.85596875
transcript.pyannote[1491].speaker SPEAKER_15
transcript.pyannote[1491].start 11326.10909375
transcript.pyannote[1491].end 11346.49409375
transcript.pyannote[1492].speaker SPEAKER_15
transcript.pyannote[1492].start 11347.00034375
transcript.pyannote[1492].end 11350.29096875
transcript.pyannote[1493].speaker SPEAKER_15
transcript.pyannote[1493].start 11350.69596875
transcript.pyannote[1493].end 11351.70846875
transcript.pyannote[1494].speaker SPEAKER_15
transcript.pyannote[1494].start 11351.97846875
transcript.pyannote[1494].end 11357.71596875
transcript.pyannote[1495].speaker SPEAKER_15
transcript.pyannote[1495].start 11358.40784375
transcript.pyannote[1495].end 11361.20909375
transcript.pyannote[1496].speaker SPEAKER_15
transcript.pyannote[1496].start 11361.76596875
transcript.pyannote[1496].end 11364.93846875
transcript.pyannote[1497].speaker SPEAKER_15
transcript.pyannote[1497].start 11365.64721875
transcript.pyannote[1497].end 11369.95034375
transcript.pyannote[1498].speaker SPEAKER_15
transcript.pyannote[1498].start 11370.64221875
transcript.pyannote[1498].end 11374.94534375
transcript.pyannote[1499].speaker SPEAKER_15
transcript.pyannote[1499].start 11375.11409375
transcript.pyannote[1499].end 11381.72909375
transcript.pyannote[1500].speaker SPEAKER_15
transcript.pyannote[1500].start 11382.18471875
transcript.pyannote[1500].end 11385.18846875
transcript.pyannote[1501].speaker SPEAKER_15
transcript.pyannote[1501].start 11385.45846875
transcript.pyannote[1501].end 11386.58909375
transcript.pyannote[1502].speaker SPEAKER_15
transcript.pyannote[1502].start 11387.01096875
transcript.pyannote[1502].end 11392.91721875
transcript.pyannote[1503].speaker SPEAKER_15
transcript.pyannote[1503].start 11393.52471875
transcript.pyannote[1503].end 11396.54534375
transcript.pyannote[1504].speaker SPEAKER_15
transcript.pyannote[1504].start 11397.32159375
transcript.pyannote[1504].end 11398.60409375
transcript.pyannote[1505].speaker SPEAKER_15
transcript.pyannote[1505].start 11399.68409375
transcript.pyannote[1505].end 11402.72159375
transcript.pyannote[1506].speaker SPEAKER_15
transcript.pyannote[1506].start 11404.00409375
transcript.pyannote[1506].end 11407.02471875
transcript.pyannote[1507].speaker SPEAKER_15
transcript.pyannote[1507].start 11407.27784375
transcript.pyannote[1507].end 11411.49659375
transcript.pyannote[1508].speaker SPEAKER_15
transcript.pyannote[1508].start 11412.22221875
transcript.pyannote[1508].end 11414.43284375
transcript.pyannote[1509].speaker SPEAKER_15
transcript.pyannote[1509].start 11415.02346875
transcript.pyannote[1509].end 11415.52971875
transcript.pyannote[1510].speaker SPEAKER_15
transcript.pyannote[1510].start 11415.59721875
transcript.pyannote[1510].end 11417.77409375
transcript.pyannote[1511].speaker SPEAKER_15
transcript.pyannote[1511].start 11418.17909375
transcript.pyannote[1511].end 11421.52034375
transcript.pyannote[1512].speaker SPEAKER_15
transcript.pyannote[1512].start 11422.70159375
transcript.pyannote[1512].end 11428.50659375
transcript.pyannote[1513].speaker SPEAKER_15
transcript.pyannote[1513].start 11429.11409375
transcript.pyannote[1513].end 11430.71721875
transcript.pyannote[1514].speaker SPEAKER_15
transcript.pyannote[1514].start 11431.42596875
transcript.pyannote[1514].end 11434.26096875
transcript.pyannote[1515].speaker SPEAKER_15
transcript.pyannote[1515].start 11434.53096875
transcript.pyannote[1515].end 11437.83846875
transcript.pyannote[1516].speaker SPEAKER_15
transcript.pyannote[1516].start 11438.19284375
transcript.pyannote[1516].end 11439.93096875
transcript.pyannote[1517].speaker SPEAKER_15
transcript.pyannote[1517].start 11440.09971875
transcript.pyannote[1517].end 11446.91721875
transcript.pyannote[1518].speaker SPEAKER_15
transcript.pyannote[1518].start 11447.65971875
transcript.pyannote[1518].end 11451.15284375
transcript.pyannote[1519].speaker SPEAKER_15
transcript.pyannote[1519].start 11451.84471875
transcript.pyannote[1519].end 11458.51034375
transcript.pyannote[1520].speaker SPEAKER_15
transcript.pyannote[1520].start 11459.11784375
transcript.pyannote[1520].end 11462.39159375
transcript.pyannote[1521].speaker SPEAKER_15
transcript.pyannote[1521].start 11462.66159375
transcript.pyannote[1521].end 11470.72784375
transcript.pyannote[1522].speaker SPEAKER_01
transcript.pyannote[1522].start 11471.21721875
transcript.pyannote[1522].end 11476.44846875
transcript.pyannote[1523].speaker SPEAKER_12
transcript.pyannote[1523].start 11477.47784375
transcript.pyannote[1523].end 11478.11909375
transcript.pyannote[1524].speaker SPEAKER_12
transcript.pyannote[1524].start 11479.85721875
transcript.pyannote[1524].end 11480.73471875
transcript.pyannote[1525].speaker SPEAKER_12
transcript.pyannote[1525].start 11481.88221875
transcript.pyannote[1525].end 11482.97909375
transcript.pyannote[1526].speaker SPEAKER_12
transcript.pyannote[1526].start 11483.55284375
transcript.pyannote[1526].end 11484.37971875
transcript.pyannote[1527].speaker SPEAKER_12
transcript.pyannote[1527].start 11484.98721875
transcript.pyannote[1527].end 11487.73784375
transcript.pyannote[1528].speaker SPEAKER_12
transcript.pyannote[1528].start 11488.37909375
transcript.pyannote[1528].end 11497.79534375
transcript.pyannote[1529].speaker SPEAKER_12
transcript.pyannote[1529].start 11498.21721875
transcript.pyannote[1529].end 11509.99596875
transcript.pyannote[1530].speaker SPEAKER_12
transcript.pyannote[1530].start 11510.26596875
transcript.pyannote[1530].end 11512.27409375
transcript.pyannote[1531].speaker SPEAKER_12
transcript.pyannote[1531].start 11513.30346875
transcript.pyannote[1531].end 11515.54784375
transcript.pyannote[1532].speaker SPEAKER_12
transcript.pyannote[1532].start 11515.88534375
transcript.pyannote[1532].end 11517.23534375
transcript.pyannote[1533].speaker SPEAKER_12
transcript.pyannote[1533].start 11517.72471875
transcript.pyannote[1533].end 11519.74971875
transcript.pyannote[1534].speaker SPEAKER_12
transcript.pyannote[1534].start 11520.01971875
transcript.pyannote[1534].end 11523.20909375
transcript.pyannote[1535].speaker SPEAKER_12
transcript.pyannote[1535].start 11523.42846875
transcript.pyannote[1535].end 11523.98534375
transcript.pyannote[1536].speaker SPEAKER_12
transcript.pyannote[1536].start 11525.30159375
transcript.pyannote[1536].end 11526.24659375
transcript.pyannote[1537].speaker SPEAKER_12
transcript.pyannote[1537].start 11527.68096875
transcript.pyannote[1537].end 11528.77784375
transcript.pyannote[1538].speaker SPEAKER_12
transcript.pyannote[1538].start 11528.94659375
transcript.pyannote[1538].end 11534.26221875
transcript.pyannote[1539].speaker SPEAKER_12
transcript.pyannote[1539].start 11534.58284375
transcript.pyannote[1539].end 11536.33784375
transcript.pyannote[1540].speaker SPEAKER_12
transcript.pyannote[1540].start 11537.56971875
transcript.pyannote[1540].end 11538.32909375
transcript.pyannote[1541].speaker SPEAKER_12
transcript.pyannote[1541].start 11539.40909375
transcript.pyannote[1541].end 11539.89846875
transcript.pyannote[1542].speaker SPEAKER_12
transcript.pyannote[1542].start 11542.29471875
transcript.pyannote[1542].end 11543.13846875
transcript.pyannote[1543].speaker SPEAKER_12
transcript.pyannote[1543].start 11543.59409375
transcript.pyannote[1543].end 11545.26471875
transcript.pyannote[1544].speaker SPEAKER_12
transcript.pyannote[1544].start 11545.56846875
transcript.pyannote[1544].end 11548.42034375
transcript.pyannote[1545].speaker SPEAKER_12
transcript.pyannote[1545].start 11548.97721875
transcript.pyannote[1545].end 11549.66909375
transcript.pyannote[1546].speaker SPEAKER_12
transcript.pyannote[1546].start 11550.25971875
transcript.pyannote[1546].end 11551.82909375
transcript.pyannote[1547].speaker SPEAKER_12
transcript.pyannote[1547].start 11552.48721875
transcript.pyannote[1547].end 11554.09034375
transcript.pyannote[1548].speaker SPEAKER_12
transcript.pyannote[1548].start 11554.25909375
transcript.pyannote[1548].end 11555.18721875
transcript.pyannote[1549].speaker SPEAKER_12
transcript.pyannote[1549].start 11555.62596875
transcript.pyannote[1549].end 11556.62159375
transcript.pyannote[1550].speaker SPEAKER_12
transcript.pyannote[1550].start 11556.90846875
transcript.pyannote[1550].end 11558.02221875
transcript.pyannote[1551].speaker SPEAKER_12
transcript.pyannote[1551].start 11558.41034375
transcript.pyannote[1551].end 11561.75159375
transcript.pyannote[1552].speaker SPEAKER_12
transcript.pyannote[1552].start 11563.01721875
transcript.pyannote[1552].end 11563.69221875
transcript.pyannote[1553].speaker SPEAKER_12
transcript.pyannote[1553].start 11564.29971875
transcript.pyannote[1553].end 11568.68721875
transcript.pyannote[1554].speaker SPEAKER_12
transcript.pyannote[1554].start 11569.46346875
transcript.pyannote[1554].end 11570.64471875
transcript.pyannote[1555].speaker SPEAKER_12
transcript.pyannote[1555].start 11571.37034375
transcript.pyannote[1555].end 11572.36596875
transcript.pyannote[1556].speaker SPEAKER_12
transcript.pyannote[1556].start 11573.54721875
transcript.pyannote[1556].end 11579.97659375
transcript.pyannote[1557].speaker SPEAKER_12
transcript.pyannote[1557].start 11580.43221875
transcript.pyannote[1557].end 11581.44471875
transcript.pyannote[1558].speaker SPEAKER_12
transcript.pyannote[1558].start 11582.22096875
transcript.pyannote[1558].end 11583.52034375
transcript.pyannote[1559].speaker SPEAKER_12
transcript.pyannote[1559].start 11585.02221875
transcript.pyannote[1559].end 11590.60784375
transcript.pyannote[1560].speaker SPEAKER_12
transcript.pyannote[1560].start 11591.33346875
transcript.pyannote[1560].end 11592.54846875
transcript.pyannote[1561].speaker SPEAKER_12
transcript.pyannote[1561].start 11593.29096875
transcript.pyannote[1561].end 11598.47159375
transcript.pyannote[1562].speaker SPEAKER_12
transcript.pyannote[1562].start 11599.01159375
transcript.pyannote[1562].end 11599.58534375
transcript.pyannote[1563].speaker SPEAKER_12
transcript.pyannote[1563].start 11600.15909375
transcript.pyannote[1563].end 11601.45846875
transcript.pyannote[1564].speaker SPEAKER_12
transcript.pyannote[1564].start 11602.70721875
transcript.pyannote[1564].end 11603.23034375
transcript.pyannote[1565].speaker SPEAKER_12
transcript.pyannote[1565].start 11603.75346875
transcript.pyannote[1565].end 11604.32721875
transcript.pyannote[1566].speaker SPEAKER_12
transcript.pyannote[1566].start 11604.83346875
transcript.pyannote[1566].end 11605.39034375
transcript.pyannote[1567].speaker SPEAKER_12
transcript.pyannote[1567].start 11605.62659375
transcript.pyannote[1567].end 11606.60534375
transcript.pyannote[1568].speaker SPEAKER_12
transcript.pyannote[1568].start 11606.84159375
transcript.pyannote[1568].end 11609.42346875
transcript.pyannote[1569].speaker SPEAKER_12
transcript.pyannote[1569].start 11609.72721875
transcript.pyannote[1569].end 11610.28409375
transcript.pyannote[1570].speaker SPEAKER_12
transcript.pyannote[1570].start 11610.60471875
transcript.pyannote[1570].end 11611.31346875
transcript.pyannote[1571].speaker SPEAKER_12
transcript.pyannote[1571].start 11611.46534375
transcript.pyannote[1571].end 11612.41034375
transcript.pyannote[1572].speaker SPEAKER_12
transcript.pyannote[1572].start 11612.88284375
transcript.pyannote[1572].end 11613.87846875
transcript.pyannote[1573].speaker SPEAKER_12
transcript.pyannote[1573].start 11614.13159375
transcript.pyannote[1573].end 11615.32971875
transcript.pyannote[1574].speaker SPEAKER_12
transcript.pyannote[1574].start 11615.71784375
transcript.pyannote[1574].end 11616.59534375
transcript.pyannote[1575].speaker SPEAKER_12
transcript.pyannote[1575].start 11616.81471875
transcript.pyannote[1575].end 11617.50659375
transcript.pyannote[1576].speaker SPEAKER_12
transcript.pyannote[1576].start 11617.65846875
transcript.pyannote[1576].end 11618.31659375
transcript.pyannote[1577].speaker SPEAKER_12
transcript.pyannote[1577].start 11620.81409375
transcript.pyannote[1577].end 11626.63596875
transcript.pyannote[1578].speaker SPEAKER_12
transcript.pyannote[1578].start 11627.56409375
transcript.pyannote[1578].end 11628.94784375
transcript.pyannote[1579].speaker SPEAKER_12
transcript.pyannote[1579].start 11629.67346875
transcript.pyannote[1579].end 11634.14534375
transcript.pyannote[1580].speaker SPEAKER_12
transcript.pyannote[1580].start 11634.97221875
transcript.pyannote[1580].end 11639.89971875
transcript.pyannote[1581].speaker SPEAKER_12
transcript.pyannote[1581].start 11640.79409375
transcript.pyannote[1581].end 11644.89471875
transcript.pyannote[1582].speaker SPEAKER_12
transcript.pyannote[1582].start 11645.43471875
transcript.pyannote[1582].end 11646.09284375
transcript.pyannote[1583].speaker SPEAKER_12
transcript.pyannote[1583].start 11646.21096875
transcript.pyannote[1583].end 11649.41721875
transcript.pyannote[1584].speaker SPEAKER_12
transcript.pyannote[1584].start 11649.46784375
transcript.pyannote[1584].end 11652.11721875
transcript.pyannote[1585].speaker SPEAKER_01
transcript.pyannote[1585].start 11652.99471875
transcript.pyannote[1585].end 11657.83784375
transcript.pyannote[1586].speaker SPEAKER_04
transcript.pyannote[1586].start 11658.41159375
transcript.pyannote[1586].end 11664.68909375
transcript.pyannote[1587].speaker SPEAKER_04
transcript.pyannote[1587].start 11664.72284375
transcript.pyannote[1587].end 11664.75659375
transcript.pyannote[1588].speaker SPEAKER_04
transcript.pyannote[1588].start 11664.90846875
transcript.pyannote[1588].end 11680.38284375
transcript.pyannote[1589].speaker SPEAKER_04
transcript.pyannote[1589].start 11680.80471875
transcript.pyannote[1589].end 11717.37284375
transcript.pyannote[1590].speaker SPEAKER_04
transcript.pyannote[1590].start 11717.62596875
transcript.pyannote[1590].end 11719.38096875
transcript.pyannote[1591].speaker SPEAKER_04
transcript.pyannote[1591].start 11720.51159375
transcript.pyannote[1591].end 11727.66659375
transcript.pyannote[1592].speaker SPEAKER_04
transcript.pyannote[1592].start 11727.81846875
transcript.pyannote[1592].end 11732.98221875
transcript.pyannote[1593].speaker SPEAKER_04
transcript.pyannote[1593].start 11733.25221875
transcript.pyannote[1593].end 11749.31721875
transcript.pyannote[1594].speaker SPEAKER_04
transcript.pyannote[1594].start 11749.43534375
transcript.pyannote[1594].end 11760.10034375
transcript.pyannote[1595].speaker SPEAKER_04
transcript.pyannote[1595].start 11760.16784375
transcript.pyannote[1595].end 11846.11221875
transcript.pyannote[1596].speaker SPEAKER_01
transcript.pyannote[1596].start 11847.04034375
transcript.pyannote[1596].end 11852.52471875
transcript.pyannote[1597].speaker SPEAKER_14
transcript.pyannote[1597].start 11855.14034375
transcript.pyannote[1597].end 11857.89096875
transcript.pyannote[1598].speaker SPEAKER_14
transcript.pyannote[1598].start 11858.16096875
transcript.pyannote[1598].end 11861.01284375
transcript.pyannote[1599].speaker SPEAKER_14
transcript.pyannote[1599].start 11861.45159375
transcript.pyannote[1599].end 11871.23909375
transcript.pyannote[1600].speaker SPEAKER_14
transcript.pyannote[1600].start 11871.81284375
transcript.pyannote[1600].end 11875.42409375
transcript.pyannote[1601].speaker SPEAKER_14
transcript.pyannote[1601].start 11875.93034375
transcript.pyannote[1601].end 11879.65971875
transcript.pyannote[1602].speaker SPEAKER_14
transcript.pyannote[1602].start 11879.94659375
transcript.pyannote[1602].end 11884.62096875
transcript.pyannote[1603].speaker SPEAKER_14
transcript.pyannote[1603].start 11884.65471875
transcript.pyannote[1603].end 11894.56034375
transcript.pyannote[1604].speaker SPEAKER_14
transcript.pyannote[1604].start 11895.87659375
transcript.pyannote[1604].end 11901.90096875
transcript.pyannote[1605].speaker SPEAKER_14
transcript.pyannote[1605].start 11902.40721875
transcript.pyannote[1605].end 11915.51909375
transcript.pyannote[1606].speaker SPEAKER_14
transcript.pyannote[1606].start 11916.37971875
transcript.pyannote[1606].end 11919.90659375
transcript.pyannote[1607].speaker SPEAKER_14
transcript.pyannote[1607].start 11920.44659375
transcript.pyannote[1607].end 11925.08721875
transcript.pyannote[1608].speaker SPEAKER_14
transcript.pyannote[1608].start 11925.54284375
transcript.pyannote[1608].end 11925.89721875
transcript.pyannote[1609].speaker SPEAKER_14
transcript.pyannote[1609].start 11925.93096875
transcript.pyannote[1609].end 11927.92221875
transcript.pyannote[1610].speaker SPEAKER_14
transcript.pyannote[1610].start 11928.46221875
transcript.pyannote[1610].end 11931.34784375
transcript.pyannote[1611].speaker SPEAKER_14
transcript.pyannote[1611].start 11931.83721875
transcript.pyannote[1611].end 11936.49471875
transcript.pyannote[1612].speaker SPEAKER_14
transcript.pyannote[1612].start 11937.03471875
transcript.pyannote[1612].end 11938.46909375
transcript.pyannote[1613].speaker SPEAKER_14
transcript.pyannote[1613].start 11938.51971875
transcript.pyannote[1613].end 11946.61971875
transcript.pyannote[1614].speaker SPEAKER_14
transcript.pyannote[1614].start 11947.00784375
transcript.pyannote[1614].end 11983.84596875
transcript.pyannote[1615].speaker SPEAKER_14
transcript.pyannote[1615].start 11984.18346875
transcript.pyannote[1615].end 11995.82721875
transcript.pyannote[1616].speaker SPEAKER_14
transcript.pyannote[1616].start 11996.78909375
transcript.pyannote[1616].end 12014.11971875
transcript.pyannote[1617].speaker SPEAKER_14
transcript.pyannote[1617].start 12014.17034375
transcript.pyannote[1617].end 12021.13971875
transcript.pyannote[1618].speaker SPEAKER_01
transcript.pyannote[1618].start 12022.21971875
transcript.pyannote[1618].end 12026.65784375
transcript.pyannote[1619].speaker SPEAKER_01
transcript.pyannote[1619].start 12027.45096875
transcript.pyannote[1619].end 12027.97409375
transcript.pyannote[1620].speaker SPEAKER_10
transcript.pyannote[1620].start 12027.97409375
transcript.pyannote[1620].end 12209.98784375
transcript.pyannote[1621].speaker SPEAKER_01
transcript.pyannote[1621].start 12210.89909375
transcript.pyannote[1621].end 12224.12909375
transcript.pyannote[1622].speaker SPEAKER_01
transcript.pyannote[1622].start 12224.48346875
transcript.pyannote[1622].end 12225.07409375
transcript.pyannote[1623].speaker SPEAKER_01
transcript.pyannote[1623].start 12226.01909375
transcript.pyannote[1623].end 12241.37534375
transcript.pyannote[1624].speaker SPEAKER_01
transcript.pyannote[1624].start 12241.98284375
transcript.pyannote[1624].end 12242.65784375
transcript.pyannote[1625].speaker SPEAKER_01
transcript.pyannote[1625].start 12244.48034375
transcript.pyannote[1625].end 12248.22659375
transcript.pyannote[1626].speaker SPEAKER_01
transcript.pyannote[1626].start 12249.27284375
transcript.pyannote[1626].end 12252.44534375
transcript.pyannote[1627].speaker SPEAKER_01
transcript.pyannote[1627].start 12252.66471875
transcript.pyannote[1627].end 12268.00409375
transcript.whisperx[0].start 327.176
transcript.whisperx[0].end 337.807
transcript.whisperx[0].text 1、2、1、2、3、1、2、3
transcript.whisperx[1].start 507.137
transcript.whisperx[1].end 515.18
transcript.whisperx[1].text 副院長、副院長及大法官同意權案
transcript.whisperx[2].start 537.062
transcript.whisperx[2].end 539.045
transcript.whisperx[2].text 法定人數不足
transcript.whisperx[3].start 552.675
transcript.whisperx[3].end 553.995
transcript.whisperx[3].text 主席主席主席
transcript.whisperx[4].start 579.798
transcript.whisperx[4].end 579.818
transcript.whisperx[4].text 公聽會議
transcript.whisperx[5].start 602.329
transcript.whisperx[5].end 631.613
transcript.whisperx[5].text 會有一些各種法案期間會有一些行使司教育會有一些各種法案期間會有一些行使司教育會有一些各種法案期間會有一些行使司教育會有一些行使司教育會有一些行使司教育會有一些行使司教育會有一些行使司教育會有一些行使司教育會有一些行使司教育會有一些行使司教育會有一些行使司教育會有一些行使司教育會有一些行使司教育會有一些行使司教育會有一些行使司教育會有一些行使司教育
transcript.whisperx[6].start 632.421
transcript.whisperx[6].end 634.022
transcript.whisperx[6].text 委員會主席委員會主席
transcript.whisperx[7].start 655.825
transcript.whisperx[7].end 661.409
transcript.whisperx[7].text 副院長、副院長及大法官同意權案
transcript.whisperx[8].start 670.777
transcript.whisperx[8].end 674.442
transcript.whisperx[8].text 副院長、副院長及大法官同意
transcript.whisperx[9].start 698.217
transcript.whisperx[9].end 714.981
transcript.whisperx[9].text 副院長、副院長及大法官同意權案
transcript.whisperx[10].start 740.222
transcript.whisperx[10].end 741.364
transcript.whisperx[10].text 主席
transcript.whisperx[11].start 745.627
transcript.whisperx[11].end 767.786
transcript.whisperx[11].text 公聽會:第11屆第2會期第2次全院委員會:「行使司法院院長及大法官同意權案、副院長及大法官同意權案、副院長及大法官同意權案、副院長及大法官同意權案、副院長及大法官同意權案、副院長及大法官同意權案、副院長及大法官同意權案、副院長及大法官同意權案、副院長及大法官同意權案、副院長及大法官同意權案、副院長及大法官同意權案、副院長及大法官
transcript.whisperx[12].start 772.159
transcript.whisperx[12].end 773.659
transcript.whisperx[12].text 公聽會:第11屆第2會期第2次全院委員會
transcript.whisperx[13].start 801.013
transcript.whisperx[13].end 801.633
transcript.whisperx[13].text 副院長及大法官同意權案
transcript.whisperx[14].start 1772.937
transcript.whisperx[14].end 1794.708
transcript.whisperx[14].text 謝謝各位學者專家早安我們華國昌委員早安各位本院的工作夥伴各位新聞界的好朋友非常非常感謝各位學者專家今天歷臨我們立法院參加司法院人事同意權的公聽會非常非常感謝我們是依照立法院本會期第9會期所作之決定辦理
transcript.whisperx[15].start 1796.309
transcript.whisperx[15].end 1815.265
transcript.whisperx[15].text 一級中華民國憲法及憲法正義條文之規定司法院大法官直施解釋憲法、統一解釋法令及命令並組成憲法法庭審理總統、副總統之彈劾、政黨違憲、解散等相關事項在我國憲政制度上也具有崇高的地位本院
transcript.whisperx[16].start 1816.394
transcript.whisperx[16].end 1844.967
transcript.whisperx[16].text 依憲法附託代表人民行使同意權針對每位被提名人之資格進行審查因此舉辦本次公聽會以作為審查之參考本次受各黨團推薦出席的學者專家均為我們領域內長期努力、深厚肯定的重要代表本院非常非常感謝各位學者專家的蒞臨各位參與的都是具備豐富的法學素養
transcript.whisperx[17].start 1846.287
transcript.whisperx[17].end 1863.172
transcript.whisperx[17].text 相信一定能夠為立法院委員所提供非常寶貴的意見在此特別感謝各位對我們本次公聽會所做的各種準備發言針對今天公聽會的程序我們要先來做以下的公告
transcript.whisperx[18].start 1864.755
transcript.whisperx[18].end 1890.476
transcript.whisperx[18].text 以發言時間每位學者專家發表時間為10分鐘審查小組的委員每位委員時間同為10分鐘本院委員發言完畢之後再由學者專家代表綜合答覆30分鐘因此要特別請各位學者專家發表告見之後也能聽取本院各黨團所推派的委員代表之詢問發言
transcript.whisperx[19].start 1892.498
transcript.whisperx[19].end 1913.151
transcript.whisperx[19].text 最後還要再請各位學者專家賜教答覆等今天整個議程圓滿結束後再行離開二、發言的順序我們先由學者專家發言賜由審查小組委員發言最後由學者專家綜合答覆相關的發言順序請參閱成立於各位桌上的名單
transcript.whisperx[20].start 1915.131
transcript.whisperx[20].end 1942.133
transcript.whisperx[20].text 各黨團所舉建的學者專家、審查小組委員如果不在場得由各黨團互相調換次序另外在發言時間結束前我們會按一分鐘的發言一分鐘前我們會按一個短鈴發言時間見滿時我們會再按一個長鈴首先我們先熱情的歡迎我們介紹所有出席的各位學者專家我們首先歡迎林騰耀教授
transcript.whisperx[21].start 1943.814
transcript.whisperx[21].end 1968.639
transcript.whisperx[21].text 熱情歡迎再來我們歡迎劉淑冰教授熱情歡迎第三我們歡迎林俊鴻教授熱情歡迎第四我們歡迎張介能教授熱情歡迎第五我們要歡迎洪偉聖教授還沒到場第六位我們熱情歡迎陳瑞仁教授熱情歡迎第七位我們熱情歡迎蘇彥圖教授熱情歡迎
transcript.whisperx[22].start 1969.991
transcript.whisperx[22].end 1970.531
transcript.whisperx[22].text 主席、各位女士、各位先生
transcript.whisperx[23].start 1999.49
transcript.whisperx[23].end 2025.458
transcript.whisperx[23].text 這個大家早針對今天公聽會的主題我提出了2300多字的書面發言題目是叫做末世憲政災難的法律人不事任大法官我這邊還有手冊上也有幾十篇有關近年來憲政災難的文章請大家參閱並指教
transcript.whisperx[24].start 2028.36
transcript.whisperx[24].end 2051.272
transcript.whisperx[24].text 現在我另外來做一些口頭的表白最近這個大法官所做的實質廢除死刑和先告國會改革法案幾乎全部違憲的判決非常離譜已經使他們下落凡塵淪為憲政上的過街老鼠
transcript.whisperx[25].start 2052.743
transcript.whisperx[25].end 2075.545
transcript.whisperx[25].text 讓人們對大法官的尊敬與信心全然消失為什麼呢?因為他們背離了憲政的三個核心理念憲政的三個核心理念是什麼呢?第一個是主權在民大家都知道廢除死刑是憲政大事
transcript.whisperx[26].start 2077.522
transcript.whisperx[26].end 2104.378
transcript.whisperx[26].text 應該由主張廢除死刑的執政黨提出法案經過人民﹐代表人民的立法院公開討論並修改憲法而不是由大法官幾個人說了算因為主權在民﹐不在大法官主權應該由代表人民的立法院行使大法官不能成為太上立法院
transcript.whisperx[27].start 2105.39
transcript.whisperx[27].end 2112.393
transcript.whisperx[27].text 大法官宣告國會改革方案幾乎全部違憲的判決完全背離了這個憲政核心理念
transcript.whisperx[28].start 2129.71
transcript.whisperx[28].end 2157.817
transcript.whisperx[28].text 哪裡有行使國家最高統治權、最大行政權的人可以不向國會報告不接受代表人民立委的質詢又哪有不接受代表人民立委的調查監督可以在國會殿堂裡說假話不提供資訊或提出假消息圖黑資料、藐視立法院、藐視人民而不必接受處罰的全世界沒有這樣的
transcript.whisperx[29].start 2159.996
transcript.whisperx[29].end 2183.378
transcript.whisperx[29].text 憲政的第三個核心理念是什麼呢就是責任政治就是行使國家最高統治權、最大行政權的人要對人民負責這也就是說行使國家最高統治權、最大行政權的人在用人、用權、辦事等方面都要向人民報告要對人民負責
transcript.whisperx[30].start 2184.861
transcript.whisperx[30].end 2199.657
transcript.whisperx[30].text 故大法官吳征就說過總統已經是最高行政首長了如果不必向代表人民的立法院報告並接受執行那是違背責任政治核心理念的
transcript.whisperx[31].start 2201.087
transcript.whisperx[31].end 2214.58
transcript.whisperx[31].text 大法官先告國會改革法案幾乎全部違憲的這個判決讓賴清德跟蔡文一樣淪為一個在憲政上能夠講話像放屁一樣的人
transcript.whisperx[32].start 2215.956
transcript.whisperx[32].end 2243.874
transcript.whisperx[32].text 蔡英文對人民所承喜諾的憲政改革、國會改革、司法改革、交易改革、財政距離改革、稅制公益改革、政府效能改革、解決世代貧富差異等全部都跳票就像憲政屁話一樣隨風而逝同樣的賴清德說要到立法院做報告現在卻以國會改革法案違憲的這個大法官判決不是報告
transcript.whisperx[33].start 2245.037
transcript.whisperx[33].end 2254.583
transcript.whisperx[33].text 完全漠視在用人用權辦事等方面要對人民報告要對人民負責的憲政核心理念又
transcript.whisperx[34].start 2256.218
transcript.whisperx[34].end 2283.276
transcript.whisperx[34].text 賴清德2019年6月4日接受媒體專訪時表示未來如果當選總統要結合朝野推動憲政改革將台灣改為內閣雙首長制除了行政院長任命一定要立法院同意外還要讓立委兼任部會首長避免執政與民意脫節但這些是不是也像蔡英文的憲政屁話一樣嗎隨風而逝
transcript.whisperx[35].start 2285.928
transcript.whisperx[35].end 2313.886
transcript.whisperx[35].text 現在就要談談耐心者所提出的大法官提名人他們可以得到人民的信任並同意嗎當然是不可以啊就像我書面發言所說的默示憲政災難的法律人不事任大法官例如被提名為司法院院長的張文貞是國會改革事業案民進黨陣營指定的鑑定人強烈主張國會改革迴憲
transcript.whisperx[36].start 2315.868
transcript.whisperx[36].end 2343.265
transcript.whisperx[36].text 這是非常離譜的一個人被提名的司法院院長:副院長的姚立明則是耐心的總統進行總部的主委難怪基層法官會炸鍋在法官論壇表示總統事先報恩選舉報得真快又大法官提名的廖福特承認民進黨仲裁委員會主委而更是離譜
transcript.whisperx[37].start 2344.491
transcript.whisperx[37].end 2371.328
transcript.whisperx[37].text 前幾天還跟我打電話他都是我的學生幾十年沒聯絡那為了我要來這個公聽會他還打電話真是不知道他是什麼樣一個人政治大學法律系教授何耐傑是一個太陽花懸殞富豪者可明顯看出他們親近民進黨的政治傾向至於劉靜儀、張文貞、陳映彩多軍附和民進黨黨綱的廢死主張
transcript.whisperx[38].start 2373.376
transcript.whisperx[38].end 2401.122
transcript.whisperx[38].text 但在蔡英文掌控國會多數騎士前面執政的八年期間並未督促民進黨人修改刑法規定意圖由大法官凌駕民意、夜處待跑的廢時那這群法律人當上大法官後會尊重民意、健全法治嗎?這八年來憲政已經被蔡英文
transcript.whisperx[39].start 2402.527
transcript.whisperx[39].end 2429.849
transcript.whisperx[39].text 賴清德無情的破毀但賴清德所提出的這些大法官、副院、提名人對憲政的破毀卻盡若寒蟬沒有吭聲相反的還要助賴清德跟蔡英文為虐那他們也恐怕會像現任的大法官一樣成為咬壞國民主權布袋的憲政老鼠
transcript.whisperx[40].start 2430.987
transcript.whisperx[40].end 2451.027
transcript.whisperx[40].text 立法院絕不應同意他們出任大法官現在還有幾分鐘我特別講一講過去的一些大法官所建立的這些老百姓對大法官的信心已經破壞掉了在7月29號的時候
transcript.whisperx[41].start 2452.984
transcript.whisperx[41].end 2480.843
transcript.whisperx[41].text 我接到電話然後就是一位我們年近近百的已經將要百歲的一個前任大法官翁岳昇他要我到他的住家去談一談因為他在聯合報看到我的文章然後他說要我去談談然後他就談一下他們過去他說他是一個鄉下的熊谷小孩從台南他第一次看到報紙是在台南
transcript.whisperx[42].start 2481.974
transcript.whisperx[42].end 2482.914
transcript.whisperx[42].text 副院長:第11屆第2會期第2會期
transcript.whisperx[43].start 2505.444
transcript.whisperx[43].end 2530.358
transcript.whisperx[43].text 他就考進那個師範考進師範以後然後就師範師篆師篆畢業以後他就去服務服務完以後就認真地在考上那個台大然後轉變了他的身份地位他說他很感謝過去的政府啊讓這個窮人可以翻身然後他跟我提到他他很有幸的參加了500多號的大法官四字的解號
transcript.whisperx[44].start 2531.82
transcript.whisperx[44].end 2555.92
transcript.whisperx[44].text 他做印象最深刻他做了一些事情第一個就是他提到了他這個審檢分立還有這個國會改革國會那個民意代表不能繼續再改的所以他這個他做到了他對於憲政的制衡呢非常的重視但是現在呢
transcript.whisperx[45].start 2557.65
transcript.whisperx[45].end 2572.676
transcript.whisperx[45].text 這些大法官 背離他的基本上的信念甚至被林作水罵過林作水是民進黨的前任委員 罵得很兇啊所以這些人 讓那個太陽從西邊出來的大法官真是不要臉
transcript.whisperx[46].start 2574.13
transcript.whisperx[46].end 2591.724
transcript.whisperx[46].text 所以我們可以看到過去的前輩還另外一個就是王哲健是我的老師我在9月7號跟他打個電話他對於我們現行的這個大法官的制度認為這已經過時了而且非常不良應該要全面的改革
transcript.whisperx[47].start 2593.121
transcript.whisperx[47].end 2619.8
transcript.whisperx[47].text 那麼我這裡就談到過去的這些法律人都非常的注意這個憲政的這個破壞如果破壞的話他一定會改良他一定會利用那個司法大法官司法院大法官去改善他現在呢是助紂為虐所以現在所提出的這幾個大法官人選立法院不應該同意他們出任大法官謝謝大家
transcript.whisperx[48].start 2621.398
transcript.whisperx[48].end 2647.538
transcript.whisperx[48].text 謝謝林滕耀教授的發言我們補充接下來我們請劉素冰教授請發言謝謝好謝謝主席很高興有這樣的機會來進行這樣的一個公聽會的參與我們知道憲法法庭或者是說大法官最大的功能是做什麼就是做違憲審查
transcript.whisperx[49].start 2649.479
transcript.whisperx[49].end 2665.625
transcript.whisperx[49].text 維新審查是在民主國家基於防禦性民主的需求而成立的作為一個憲法的守護者最重要的必須要具備有專業的素養而且還必須有操守
transcript.whisperx[50].start 2666.625
transcript.whisperx[50].end 2667.246
transcript.whisperx[50].text 民主國家的違憲審查制度
transcript.whisperx[51].start 2689.165
transcript.whisperx[51].end 2709.234
transcript.whisperx[51].text 還有在書面上面的資料也有在說美國是屬於分散型的是各級的法院都會對判決的案件或者是說法條做違憲的審查行使在德國的部分它是另外設立了憲法法院來去行使產生是全任制
transcript.whisperx[52].start 2710.334
transcript.whisperx[52].end 2736.47
transcript.whisperx[52].text 台灣本身是承襲德國體制經由大法官組成憲法法庭適用立法院提名、立法院同意的任命制來進行我們看看台灣的憲法訴訟審理案件當中有哪些項目這些項目當中依照的是在
transcript.whisperx[53].start 2738.513
transcript.whisperx[53].end 2739.854
transcript.whisperx[53].text 《行使司法院院長、副院長及大法官同意權案》
transcript.whisperx[54].start 2752.455
transcript.whisperx[54].end 2769.635
transcript.whisperx[54].text 法規範審查、機關權限的爭議、總統、副總統的彈劾案還有政黨違憲審查、地方自治保障等等這幾項前面的五項當中是非常政治性的因為它會涉及到的是政黨的利益還包括的是地方跟中央的關係另外的
transcript.whisperx[55].start 2772.878
transcript.whisperx[55].end 2773.339
transcript.whisperx[55].text 委員會主席
transcript.whisperx[56].start 2803.259
transcript.whisperx[56].end 2831.117
transcript.whisperx[56].text 我們看到過去的這個情況在2008年到2024年的這個情況之下因為馬英九跟蔡總統他有這個兩任的連任那他們大法官的人選相對於就是相對的會受到一個單一政黨的這樣的一個偏好所影響那這樣子可能會產生就是說有時候特別保守或者是特別激進或是甚至會有時候保護執政黨利益的這種情況出現
transcript.whisperx[57].start 2832.558
transcript.whisperx[57].end 2854.943
transcript.whisperx[57].text 今年2024年1月13日之後有了不一樣的狀況他出現的是一個少數的總統他目前的情況在立法院是屬於分立總統的形式這樣所形成的情況是行政跟立法的衝突就會特別的明顯當然跟中央跟地方這種爭議也會比較多
transcript.whisperx[58].start 2857.704
transcript.whisperx[58].end 2878.632
transcript.whisperx[58].text 因此會申請違憲審查的情況也預期是會在這一個任期當中是多的我們也看到是在2022年等於說是民國111年的時候1月4號開始憲法訴訟法生效這邊就特別強調它是一個全面的法庭化
transcript.whisperx[59].start 2879.552
transcript.whisperx[59].end 2881.013
transcript.whisperx[59].text 法官的判決形式
transcript.whisperx[60].start 2895.585
transcript.whisperx[60].end 2910.524
transcript.whisperx[60].text 那當然他的司法化也必須要去解決所謂的爭端那這時候呢大法官他越超越黨派獨立行使審判權的這樣的一個就顯得更為的必要了那我們繼續看看那我剛才已經說了
transcript.whisperx[61].start 2911.605
transcript.whisperx[61].end 2935.817
transcript.whisperx[61].text 台灣的憲法的審查制度是師承德國的這邊我們就來對照一下德國的憲法法院的法官憲法法院法裡面對於裡面的法官資格是怎麼樣認定的就像剛才林滕耀教授有提到說可能都必須要做一些改革那我們就來提供德國的經驗就在於第一個我們看到的是在
transcript.whisperx[62].start 2942.81
transcript.whisperx[62].end 2956.296
transcript.whisperx[62].text 我具備他從法官的這個資格條件來說起那德國呢他是參眾兩院來去選來去選出這個兩個院的各八名的這個大法官所以注意喔他是由兩個院參議院跟眾議院去選舉出來的
transcript.whisperx[63].start 2959.778
transcript.whisperx[63].end 2976.228
transcript.whisperx[63].text 他們要求的條件,因為他竟然是最高的法院,所以他必須具備法官法裡面的法官資格另外,兩個院當中必須有三個人是聯邦最高法院的法官或是他必須具備有聯邦議員的候選資格
transcript.whisperx[64].start 2982.051
transcript.whisperx[64].end 3002.205
transcript.whisperx[64].text 如果說他本身是聯邦議員的話呢聯邦眾議員的話呢他就必須是也是過去是有法學而且是有法官背景的這個狀況好那這個代表的是說他因為他因應到這個建馬法院的這個裁判的話他必須要有辯證跟他的這個過程他都必須熟悉所以他作為一個司法審查機關必須有這個條件
transcript.whisperx[65].start 3003.646
transcript.whisperx[65].end 3015.37
transcript.whisperx[65].text 台灣在司法院的組織法當中第4條當中羅列這6項但是我覺得這些條件事實上都還比我們現在法官法當中的條件更為寬鬆門檻是比較低的
transcript.whisperx[66].start 3019.872
transcript.whisperx[66].end 3027.838
transcript.whisperx[66].text 第6項是研究法學、富有政治經驗、生育卓著我整理了目前被提名的七位大法官當中有具備法官資格的部分
transcript.whisperx[67].start 3045.151
transcript.whisperx[67].end 3064.136
transcript.whisperx[67].text 就只有應該就只有大家可以看到在右邊的部分法官或是律師資格這就只有三位就是這個何碩傑這個王碧芳跟這個劉靜儀就有司法官考官的資格這一部分來看看那這部分的資料完全是根據立法院給的這個公報裡面的內容去呈現的
transcript.whisperx[68].start 3068.297
transcript.whisperx[68].end 3084.345
transcript.whisperx[68].text 第二部分德國憲法法院的法官資格必須要超出黨派來獨立行使職權德國的部分是透過參眾議院選出來的他符合的地方跟中央的關係還有政黨在
transcript.whisperx[69].start 3085.786
transcript.whisperx[69].end 3113.905
transcript.whisperx[69].text 中立院的實力顯出一種協調狀況那在台灣呢我們可以看到在七位的這個被提名當中有人是當過台北市的市長的競選總幹事他也曾經當過民進黨的總統候選人的競選總幹事這關係就非常的顯著政黨傾向那另外也有人是擔任執政黨的仲裁委員會的這個主委的這個情況那大家就可以看到在右邊裡面的這邊的顯示就呈現出來
transcript.whisperx[70].start 3115.966
transcript.whisperx[70].end 3135.639
transcript.whisperx[70].text 第三個部分還有年齡的規範為什麼呢?因為你要學一個大法官他本身需要非常燒腦的工作是一個勞力勞動的工作所以他必須要具備相當的精力在這個情況之下德國是規定說超過68歲就要強制退休我們台灣是沒有規範可是大家可以看到是在這次的
transcript.whisperx[71].start 3144.145
transcript.whisperx[71].end 3170.291
transcript.whisperx[71].text 這個年齡當中被提名當中有人高達72歲齁然後其他這部分齁大家也有將近60歲那如果要任期8年的話這個部分可能要斟酌一下齁這部分好那我們看看第4點呢德國的憲法法院法當中還針對特殊領域的專才這邊有一些規範齁那為什麼會有這樣的規範呢在於說他特別是針對的司法與消費者保護部裡面特別重視他認為說這個地方呢是
transcript.whisperx[72].start 3172.552
transcript.whisperx[72].end 3183.615
transcript.whisperx[72].text 對於目前在人權或者是保護是特別重要的所以他們就交由這個部會提交法官的人選建議名單給參眾2月的黨團拿去作為一個參考提名的標準那台灣並沒有這樣的規定
transcript.whisperx[73].start 3190.437
transcript.whisperx[73].end 3210.528
transcript.whisperx[73].text 但是我國省市我國的情況之下是在我國對於消費者保護、數位保護、勞動者跟婦幼的保護的這部分上是極度的不足但是在目前提名的7位的被提名當中都偏向憲法、行政法跟刑法類的顯示出來有相當大的沒有去可以反映到保護弱勢的這種情況
transcript.whisperx[74].start 3212.149
transcript.whisperx[74].end 3233.647
transcript.whisperx[74].text 這邊也看到這個資訊是在這上面出來大家可以看到這個底壁的資料上面就是我剛剛所說的憲法還有刑法的部分還有行政法的部分最後這個地方就是說提供德國的這個經驗來作為說未來修法或是在各位立法委員他們在提名就是在做審同意權的行使的時候能夠做一個參考那就謝謝各位
transcript.whisperx[75].start 3235.678
transcript.whisperx[75].end 3257.229
transcript.whisperx[75].text 謝謝劉書斌教授,謝謝林漢。我要補充介紹一下,剛才已經到國民黨的吳宗憲委員,他可能現在跑去質詢,等一下再回來。現在在鍾嘉斌委員,民進黨的,另外民進黨的書記長蔡易瑜委員也都到現場了,再次感謝。接下來第三位,我們請林俊宏教授,請表達寶貴的意見,謝謝。
transcript.whisperx[76].start 3262.98
transcript.whisperx[76].end 3280.285
transcript.whisperx[76].text 主席、在場的各位委員、各位先進大家好今天很榮幸可以來這邊參與這一次的公聽會我想這一次關於大法官同意權的行使其實在這段時間國內的氛圍其實是一個非常非常重要的一件事情
transcript.whisperx[77].start 3281.565
transcript.whisperx[77].end 3295.973
transcript.whisperx[77].text 畢竟最近這段時間又涉及到憲法訴訟法的修法的爭議那到底我們的憲法法庭能不能夠正常的運作我想在這件事情上在大法官的人士同意權的行使絕對是一個非常關鍵而且非常重要的事情
transcript.whisperx[78].start 3297.054
transcript.whisperx[78].end 3315.536
transcript.whisperx[78].text 那我想先一開始先說明的是說關於大法官這個位置的一個角色我想大家應該都很清楚大法官在我們的憲法裡面的地位他其實是我們的憲法守護者那可是其實我們最近會聽到一些聲音或者是有一些不同的意見
transcript.whisperx[79].start 3316.637
transcript.whisperx[79].end 3337.794
transcript.whisperx[79].text 對於大法官的想法可能有一些不一樣的概念因為他們認為說大法官的部分是不是要全然的要配合的民意或者是說他們對於憲法的解釋100%都不能跟民意有所違背或者是與民意的或多數的意見有不同的看法
transcript.whisperx[80].start 3338.675
transcript.whisperx[80].end 3354.716
transcript.whisperx[80].text 那我想這個部分可能是不是誤解了大法官他本身的特質大法官本身的特質就有一種抗多數決的一種特質那之所以大法官會有抗多數決的特質在於是說因為我們憲法本質上是一種開放性的規範
transcript.whisperx[81].start 3355.877
transcript.whisperx[81].end 3371.676
transcript.whisperx[81].text 那也就是說在一定程度的標準或者是在一定的架構之下大法官可以在這個規範的內容內去選擇他的憲法價值跟理念那這也是我們國家或者是我們的憲法上賦予大法官的一個職責
transcript.whisperx[82].start 3373.078
transcript.whisperx[82].end 3402.23
transcript.whisperx[82].text 那我們要如何去控制這個部分的大法官該如何去行使這樣的事情會不會濫刑的部分呢我想第一個部分我們在制度的設計上第一個部分當然是我們在這邊同意權的行使我們在讓他上任之前對他對於憲法理念的闡述對於憲法相關議題的辯證然後我們透過我們的國會代表們進行審查去理解說我們每一位大法官對於憲法價值的看法是什麼
transcript.whisperx[83].start 3403.01
transcript.whisperx[83].end 3422.242
transcript.whisperx[83].text 那第二個部分它的核心是什麼?第二個部分它的核心在於是大法官們對於憲法判決的論述跟內容我們必須要去看待每個憲法的判決它不是一個單純的一個結論而已喔它必須要有一個論辯式的結構跟充分的說理
transcript.whisperx[84].start 3422.822
transcript.whisperx[84].end 3439.667
transcript.whisperx[84].text 那這也是我們目前大法官們或者是我們憲法訴訟的制度所在進行的我們在憲法訴訟法制度通過之後我們開始了公開審理我們引進了外部的專家的證人讓外部專家證人可以在法庭上表示意見我們的大法官可以在法庭進行詢答
transcript.whisperx[85].start 3441.047
transcript.whisperx[85].end 3461.583
transcript.whisperx[85].text 也就是說其實透過憲法法庭審理的流程或者是整個程序我們可以看得到或者是我們可以聽得到大法官對於每個憲法價值的選擇他的依據是什麼他的標準是什麼那甚至於他即便是不同意我們的憲法的主文或者是相關的意見大法官他還是可以出具
transcript.whisperx[86].start 3461.943
transcript.whisperx[86].end 3474.14
transcript.whisperx[86].text 不同意見書或協同意見書我想如果大家有關心我們的憲法法庭或者大法官所做的裁判這幾年的協同意見書不同意見書的數量其實非常非常的多那這個部分我想
transcript.whisperx[87].start 3475.228
transcript.whisperx[87].end 3502.463
transcript.whisperx[87].text 是必須要先認清這樣子的一個基本的事實那第二個部分是我想要特別提的是在審理的時候其實剛剛或者是從歷來我們一直聽到一些聲音說我們對於大法官的選擇上我們只要注意到說他過去曾經發表了某個意見過去他曾經擔任了某個職務過去他參與了某個活動
transcript.whisperx[88].start 3503.547
transcript.whisperx[88].end 3515.476
transcript.whisperx[88].text 就等於這個人不適任我想人是一個非常社會化的動物每個人都一定有參與的活動跟他參與的生活領域範圍
transcript.whisperx[89].start 3519.042
transcript.whisperx[89].end 3536.192
transcript.whisperx[89].text 不可能有一個人他是一個從來不參與任何活動不表達任何的意見在社會上都跟大家講說我是一個中立客觀的人然後最後被我們的國家機關挑選進來成為大法官的被提名人
transcript.whisperx[90].start 3537.21
transcript.whisperx[90].end 3564.181
transcript.whisperx[90].text 他畢竟必然一定是在社會上有一些意見的表達參與了相關的活動或者是相關的團體然後大家覺得說這位大法官這位人選其實是非常的專業而且他的憲法價值接受肯定或者是表現上深獲大家的讚許在這種狀況下才會有可能被提進來然後由所有的大法有國會們來進行審查
transcript.whisperx[91].start 3566.602
transcript.whisperx[91].end 3588.664
transcript.whisperx[91].text 所以這個是一個本質上理所當然的事情那其實在之前的聲音我們注意到的就是說我們常常看到的是因為他有單一的意見單一的聲音單一參加單一的團體就認為說噢不適任可是我們有真的好好的去想過說他除了當這些特定事件的單一聲音單一的活動參與
transcript.whisperx[92].start 3591.591
transcript.whisperx[92].end 3619.462
transcript.whisperx[92].text 這種狀況他有影響到他對於憲法的價值的捍衛或者是他的憲法的論述嗎我們應該要討論的不是他對於憲法價值的捍衛跟憲法的論述到底內容到底是不是合理是不是充分是不是完整嗎這個不是我們應該要審理大法官所要做的事情嗎那一再的用類似貼標籤的模式就跟大家講說你參加過什麼所以你不是任
transcript.whisperx[93].start 3620.612
transcript.whisperx[93].end 3630.96
transcript.whisperx[93].text 你講過什麼?所以你不適任?我覺得這樣子的一個審查邏輯跟審查模式是對於我們的人民是非常非常的不負責任的
transcript.whisperx[94].start 3632.418
transcript.whisperx[94].end 3658.9
transcript.whisperx[94].text 我認為國會議員在進行相關大法官的審查的時候應該要具體去了解的是我們這一些大法官的被提名人他們過去的人權履歷是什麼他們的人權操守是什麼他們的學識他們的專業經驗他們的憲政人權理念是什麼這一些才是我們要找到合適的大法官所應該要做應該要去找的而不是先告訴我們說他擔任過什麼
transcript.whisperx[95].start 3660.49
transcript.whisperx[95].end 3678.662
transcript.whisperx[95].text 當任過什麼我覺得這件事情當然重要我們對於基本的履歷這些是很重要的我們的司法院組織法也有規定了一些相關的行事規範那這些行事規範其實我觀察了這次的大法官提名人從形式上這些規範是符合司法院組織法的相關規範的那
transcript.whisperx[96].start 3681.553
transcript.whisperx[96].end 3690.518
transcript.whisperx[96].text 在接下來的步就是那各位國會議員們你們想要怎麼樣去了解他的對於憲政價值的一些看法
transcript.whisperx[97].start 3692.482
transcript.whisperx[97].end 3713.774
transcript.whisperx[97].text 其實我們大法官所處理的事情其實非常的多元除了前一陣子比較有爭議的憲政機關的爭議以外其實有98%的案件類型是在處理人民基本權利也就是說他必須要去考量到人民基本權利在整個憲政體制架構下該如何理解該如何解釋
transcript.whisperx[98].start 3715.137
transcript.whisperx[98].end 3743.967
transcript.whisperx[98].text 那我想我們這一些判決們非常非常的多我就不再一一的去羅列或者去念這一些東西可是這邊我要特別提到的就是說我們在選擇大法官的時候不是一直去看說今天這個大法官是誰提名的或者是說他過去比較傾向哪一邊重點是他對於人權的價值憲法的價值的捍衛到底談了什麼事情
transcript.whisperx[99].start 3745.831
transcript.whisperx[99].end 3767.196
transcript.whisperx[99].text 所以我覺得這個是國會議員應該要去注意的第二步接下來要談的就是說我們審查的界限是什麼那審查的界限其實我們觀察這次立法院執行司法被大法官這一次被宣告違憲之後那回到觀察我們的委員們怎麼去了解我們的大法官
transcript.whisperx[100].start 3767.836
transcript.whisperx[100].end 3785.621
transcript.whisperx[100].text 我想今天就是一個很棒的一個狀態今天就是一個審查會那接下來更進一步的審查會應該是透過立法委員們、審查小組們去了解每一位大法官到底在想什麼我覺得比較核心的是實質的提問而不是形式上給予一定的標籤
transcript.whisperx[101].start 3786.841
transcript.whisperx[101].end 3811.344
transcript.whisperx[101].text 當然我們可以從文獻上我們去觀察美國他們在審他們的憲法法院的法官的時候他們會有基本上還是可以問當然回不回答跟我們的大法官的理解應該我自己的理解上沒有差太多這個是你要不要被選任的問題那個是責任的問題可是你不能去問說你對於特定的判決還沒有做出來的判決的看法這個應該是司法倫理的問題
transcript.whisperx[102].start 3812.225
transcript.whisperx[102].end 3813.705
transcript.whisperx[102].text 公聽會議公聽會議公聽會議公聽會議公聽會議公聽會議公聽會議公聽會議
transcript.whisperx[103].start 3840.451
transcript.whisperx[103].end 3858.257
transcript.whisperx[103].text 無關的事項我覺得也不應該是國會議員所應該要去接觸的因為這個部分還是大法官在113的憲判9也講得很清楚雖然他們來參與這邊做審查基本上他們的隱私權、基本人格權這些基本權利還是受到我們憲法所保障的
transcript.whisperx[104].start 3858.911
transcript.whisperx[104].end 3867.114
transcript.whisperx[104].text 所以在這樣子的範疇事實下都不應該特別去問那所以好時間到我先講到這邊好了謝謝院長各位大家好
transcript.whisperx[105].start 3889.875
transcript.whisperx[105].end 3892.099
transcript.whisperx[105].text 很高興國會能夠讓我有這個機會在國會的殿堂來參加這個公聽會
transcript.whisperx[106].start 3898.112
transcript.whisperx[106].end 3919.995
transcript.whisperx[106].text 各位都知道我本身不是學法律但是我今天所以能夠過來也敢過來只要是以我一個當事人的身份我相信以我這個被害人所經歷的過程可以給審查有一些參考
transcript.whisperx[107].start 3921.991
transcript.whisperx[107].end 3949.15
transcript.whisperx[107].text 案情我會簡略明天12月3號就是我太太遇害10週年在10年前的那一天我太太在高雄市最熱鬧的哈羅市場上午去買菜等到我下班還沒回家我去在哈羅市場找到她在還沒找到她之前我先去報案
transcript.whisperx[108].start 3951.141
transcript.whisperx[108].end 3963.782
transcript.whisperx[108].text 警察告訴我你最好再回去車子裡面因為我已經找到車子可是車子看不到因為天已經黑了看不到車子裡面的情形我才去報案
transcript.whisperx[109].start 3965.094
transcript.whisperx[109].end 3981.549
transcript.whisperx[109].text 受了警察的嘱咐叫我再回去查結果正好學尋幫我找我太太的我妹妹跟我妹夫因為那一天晚上我太太要分發她團購的骨坑的有機
transcript.whisperx[110].start 3983.388
transcript.whisperx[110].end 4010.98
transcript.whisperx[110].text 紐丁找不到我太太,也一起協尋,後來找到了找到車子的地方,我妹夫手電動力照,說他在車子的後座腳踏板的地方我們趕快要搶救,趕快把車門打開正在打開,那一幕我就不再多說,警察來了,就封鎖現場這是過程,我相信經歷過這樣一個晴天霹靂
transcript.whisperx[111].start 4013.573
transcript.whisperx[111].end 4037.116
transcript.whisperx[111].text 所受的感受應該是難以忘懷好 那麼我要跟各位報告歷經這十年我們從一審、二審、更一到更三五次的判死刑到最後最高法院根據今天討論有關係的大法官的第八號
transcript.whisperx[112].start 4038.598
transcript.whisperx[112].end 4067.644
transcript.whisperx[112].text 的視線根據這個案子認為我們的案子是非犯罪嚴重之罪所以從死刑改判從死刑改判無期徒刑我首先要跟各位報告改判無期台灣的無期大家都很清楚就是有期這是第一點第二點他的無期其實就是對我們家的無期的痛苦的宣判
transcript.whisperx[113].start 4069.182
transcript.whisperx[113].end 4092.071
transcript.whisperx[113].text 這是我先要告訴各位以我親身的經歷那麼這個過程裡面我經歷了這麼多的審判我感到以下的非常的不平等那麼也是提出來給各位做參考第一點我從更衣審開始
transcript.whisperx[114].start 4093.809
transcript.whisperx[114].end 4121.772
transcript.whisperx[114].text 對方是由法律輔助基金會派的三位辯護人本人是犯罪被害人保護協會所屬法務部的派我一個這是不公平光實現上來講就是不公平了這是第一點第二點性侵案我們的案子是經過性侵然後是他
transcript.whisperx[115].start 4125.682
transcript.whisperx[115].end 4154.027
transcript.whisperx[115].text 槌擊我太太的頭部槌擊之後她想要開車車子都發動了可是呢發不動不曉得按鎖在哪裡又再問然後呢又再槌這個從行車紀錄器裡面我們都聽到槌擊的聲音然後我太太的學生攜帶的小花包拉鍊被拉開的聲音零錢散落在車子裡面的聲音
transcript.whisperx[116].start 4155.233
transcript.whisperx[116].end 4159.483
transcript.whisperx[116].text 等等然後呢最後我們
transcript.whisperx[117].start 4160.819
transcript.whisperx[117].end 4187.882
transcript.whisperx[117].text 在一審還有爭審的時候的資料對方都說搶了多少錢多少錢可是到最後法庭要我們提出尤其是最高法院發回更審的主要理由就是要我們提出我們被搶2000塊的證據請問你被搶了你買的東西都不一定知道是2000塊何況是被搶的人而且已經死亡了就是我
transcript.whisperx[118].start 4189.036
transcript.whisperx[118].end 4213.278
transcript.whisperx[118].text 首先趕到不平等的地方最後在9月20號大法官事件案第8號公布之後最高法院馬上兩個禮拜馬上火速的判決我太太是非犯罪嚴重之罪犯人是非犯罪嚴重之罪所以
transcript.whisperx[119].start 4216.055
transcript.whisperx[119].end 4240.448
transcript.whisperx[119].text 改判無期徒刑這是第一點請問什麼叫做最嚴重之罪大法官有沒有辦法幫我們解釋人權裡面應該含有被害人的人權可是我發現我們的被害人尤其是被害人的遺屬我是身為告示人在法庭上完全沒有地位我沒有
transcript.whisperx[120].start 4243.286
transcript.whisperx[120].end 4267.179
transcript.whisperx[120].text 決論權我沒有預見權我要講話還要到最後一次被法官被動的指定我才有機會講話講完話覺得不夠我要補述書完全沒有接受到回應美國日本有所謂的終身監禁也有保留死刑我不知道我們的
transcript.whisperx[121].start 4269.586
transcript.whisperx[121].end 4297.532
transcript.whisperx[121].text 得法律為什麼就不會要保留這樣的終身監禁至少還可以安慰我們被害人的遺屬為了台灣沒有辦法下法美國跟日本最高法院的法官可以在庭上引導被告的辯護人說你2000塊的證據你怎麼沒有找到是我幫你找到的
transcript.whisperx[122].start 4300.151
transcript.whisperx[122].end 4327.011
transcript.whisperx[122].text 今天在國家的最高殿堂我一定要而且這個法院的法官目前在地方法院當一個院長中間是不是有什麼貓膩我不知道最高法院的五位何以廷的法官可以重複的審理而不必迴避這個法律我不懂所以我提出來給大家做思考性侵殺人搶劫可以分開審理來量刑嗎
transcript.whisperx[123].start 4331.158
transcript.whisperx[123].end 4356.831
transcript.whisperx[123].text 搶車車子沒有開走就是沒有構成搶劫就是搶劫未遂嗎?被告在檢警真審模擬陳述犯案的內容的時候在各個法院審理中後面他就翻工了請問你怎麼樣認定是真是假是不是剛開始的真審的過程還有一審的資料是最明確
transcript.whisperx[124].start 4359.932
transcript.whisperx[124].end 4381.245
transcript.whisperx[124].text 犯罪人記憶最深刻的時候是不是更應該可以相信結果他只要一翻工大家都不認了很奇怪請問大家思考一下預謀殺人是怎麼樣的認定是預謀對象我要殺你就一定殺你才是預謀嗎還是預謀的工具有準備工具就是預謀
transcript.whisperx[125].start 4383.684
transcript.whisperx[125].end 4406.537
transcript.whisperx[125].text 還是以上都要有我們不知道因為我們這個案子就是以非預謀殺人來做判定改成無期的精神鑑定心理衡鑑要多少次是不是可以指定醫院可以指定良心的那個學者來做良心我們就是這樣非常的很奇怪
transcript.whisperx[126].start 4409.537
transcript.whisperx[126].end 4432.695
transcript.whisperx[126].text 被害方如何提出被搶錢的數目 剛才有提到假如無法被提出來 是不是就是搶劫未遂 或者是沒有搶何衛廷的定義 是不是多數決 我不知道因為法官 大法官講你要判死 一定要每一個法官通通沒有
transcript.whisperx[127].start 4433.923
transcript.whisperx[127].end 4460.474
transcript.whisperx[127].text 統統要贊成判死才有有五個法官判全部全訴決就是二分之一的五次方三十二分之一當然全部不判死的機率也是三十二分之一我講的意思是全訴都同意是不是違背了何義廷的精神所在最後我要勉勵了
transcript.whisperx[128].start 4463.423
transcript.whisperx[128].end 4490.773
transcript.whisperx[128].text 關其所矣、查其所有、查其所安、視其所有、人焉所哉剛才有律師講你不能以前那是所作所為我倒是認為以前的所作所為正好可以當作你審驗他的一個參考我們期望的是臺灣的司法不要崩潰你親民崇高的人格專業就是我們萬民所依賴的謝謝
transcript.whisperx[129].start 4495.023
transcript.whisperx[129].end 4498.802
transcript.whisperx[129].text 辛苦了張建仁教授辛苦真的是非常非常的
transcript.whisperx[130].start 4500.698
transcript.whisperx[130].end 4528.225
transcript.whisperx[130].text 聽了很感動很難過好接下來我們請登記第5號的洪偉聖教授請給我們寶貴意見謝謝謝謝主席還有在座的各位委員各位先進那我想聽了剛才張教授的這個發言是非常遺憾但是這個他提到的非常多的問題事實上是大院之權關於刑法實體法或者是刑事訴訟法關於被害人保護之間的
transcript.whisperx[131].start 4529.786
transcript.whisperx[131].end 4554.645
transcript.whisperx[131].text 可以進一步的再精進調整的問題那跟大法官是不是必然有關這個可以再思考尤其是我在這邊可能要比較斗膽的提醒一點就是說民主憲政國家設定司法權之所以不將報復或者是說應對的工具或手交給被害人我相信在憲政上是有特定的考量
transcript.whisperx[132].start 4555.505
transcript.whisperx[132].end 4580.278
transcript.whisperx[132].text 那這個是我在開始之前做的一點點小小的感想跟提醒那其實今天來也要再次的感謝大院在繼去年之後再次的邀請來參加這個大法官的同意權的審查會那其實在來之前這個我一直在想一些問題就是說當然這一陣子我想社會上或者是大院對於學位是非常的這個在意啦那我自己其實
transcript.whisperx[133].start 4581.418
transcript.whisperx[133].end 4602.359
transcript.whisperx[133].text 因為也有一些學位但是我一直在出門前我的女兒她是國中那她問我說爸爸你要來這邊做什麼我說我這個是大法官的審查會那她說我們現在學校的公民課正好在教這個總統提名立法院同意那到底這一次的大法官或司法院院長的提名遇到了什麼問題
transcript.whisperx[134].start 4603.96
transcript.whisperx[134].end 4620.644
transcript.whisperx[134].text 我就在想說我或許對他應該用幾個不需要學位來思考的問題讓他來懂這一次的爭議來思考這些問題那我就想到一件事情或許你要說我蹭棒球就是說聽台灣這個風潮其實現在還意猶未盡
transcript.whisperx[135].start 4625.845
transcript.whisperx[135].end 4639.023
transcript.whisperx[135].text 我自己問了一件事情如果說這一次的Team Taiwan的對職員名單必須要經過賴總統的提名立法院同意後通過在現在的這樣子的政治氛圍之下我們會是什麼樣的狀況
transcript.whisperx[136].start 4642.369
transcript.whisperx[136].end 4642.389
transcript.whisperx[136].text 公聽會議
transcript.whisperx[137].start 4659.722
transcript.whisperx[137].end 4670.8
transcript.whisperx[137].text 我們的台灣隊長陳捷憲他是賴總統始終支持的同意隊來自於同意隊的我覺得他不會通過因為我們會用這些理由來考慮這個同意權
transcript.whisperx[138].start 4674.017
transcript.whisperx[138].end 4693.973
transcript.whisperx[138].text 其實坦白說,這是大家起個門心自問,就是說是不是現在我們的國會,或者是政治生態,我也不覺得是單純的國會的問題啦那甚至是堅稱在記者會上說自己是台灣隊的潘潔凱,他也是來自於同一隊,又是賴總統支持的球隊,我覺得他也不會通過
transcript.whisperx[139].start 4695.865
transcript.whisperx[139].end 4712.276
transcript.whisperx[139].text 那這個情況,到底台灣現在的政治僵局打算怎麼辦?更不用說領隊的蔡會長,他是我們民主進步黨的立法委員要通過同意權我是覺得不可能那我們這樣子的台灣隊還成隊嗎?
transcript.whisperx[140].start 4715.683
transcript.whisperx[140].end 4731.895
transcript.whisperx[140].text 那剛才其實幾位委員也提到其實坦白說我剛才坐在這裡的時候覺得說好像我時間跟地點都跑錯地方為什麼說時間跑錯地方呢?立法院職權行使法的這個憲法法庭的辯論其實大家都花了很多的時間也都很精彩的論辯那沒有想到在這邊還要繼續再做論辯
transcript.whisperx[141].start 4734.957
transcript.whisperx[141].end 4753.896
transcript.whisperx[141].text 實行案的論辯其實不只是有憲法法庭的延遲辯論一整天甚至還有其他的很多的討論那在這邊好像也要再談這個事情憲法訴訟法我相信大院也會另外辦公聽會審查那在這邊也要談所以我覺得說我的10分鐘好像要
transcript.whisperx[142].start 4755.258
transcript.whisperx[142].end 4775.819
transcript.whisperx[142].text 這個跑錯時間跑錯棚但是我還是要談一件事情就是說現在的憲法訴訟法的修正當然民間已經有很多的不適當的聲音但是我只要再問一件事情就是說這一次其實在民間我看也有一些這個先進發表文章討論說沒有關係我們可以提高門檻
transcript.whisperx[143].start 4777.341
transcript.whisperx[143].end 4790.235
transcript.whisperx[143].text 或者是說10個人或9個人沒有關係反正我只要通過一個或兩個讓他還是可以運作就好了這個其實也是可以用一個很簡單的類比棒球賽9個人就可以打了
transcript.whisperx[144].start 4790.885
transcript.whisperx[144].end 4810.357
transcript.whisperx[144].text 那是不是我們就給聽台灣9個球員的名單就夠了更不用說以現在媒體揭露出來部分委員可能屬一的人選譬如說黃碧芳法官我也看到有針對張文正院長表示認可的
transcript.whisperx[145].start 4812.538
transcript.whisperx[145].end 4838.721
transcript.whisperx[145].text 但是各位要想到我們給9個人認為人數足夠但是可以不考慮守備位置嗎?我們可以給9個投手嗎?我們可以給9個補手嗎?我們可以給或者是說我們可以給足9個人但是裡面有兩位投手卻沒有補手嗎?這個是非常需要嚴肅思考的問題所以我回頭來看這一次的大法官的這個審查我大概有幾樣的思考第一個就是說
transcript.whisperx[146].start 4840.191
transcript.whisperx[146].end 4857.548
transcript.whisperx[146].text 其實這一次的大法官的被批評的身手當然其中因為我目前是台灣法學會的理事長其實台灣法學會要有這個台灣這個名字得來不易事實上也是大法官的這個貢獻過去我們是不能夠用台灣的名字來叫台灣的任何的人民團體的
transcript.whisperx[147].start 4858.989
transcript.whisperx[147].end 4886.181
transcript.whisperx[147].text 我目前因為是台灣法學會的理事長也是台灣國際法學會的秘書長所以針對其中的幾位被提名人譬如說張文貞教授、何賴傑教授、廖福特教授或者是劉靜儀教授都因為在學會上的互動有比較多的觀察或許可以提供給大院做觀察第一個就是說在首備位置上面如果看現在仍然在憲法法庭當中的大法官
transcript.whisperx[148].start 4887.594
transcript.whisperx[148].end 4901.059
transcript.whisperx[148].text 如果要說跟憲法這次憲法法庭跟憲法公法專攻的目前說起來只剩下這個蔡中正大法官一位勉強可能還有這個楊大法官因為他過去是行政法院的院長
transcript.whisperx[149].start 4903.342
transcript.whisperx[149].end 4923.085
transcript.whisperx[149].text 目前沒有其他的大法官真的是以憲法行政法作為專攻的那更不用說我們其實在這個陳英才大法官被提名的這個報告當中也提到我們非常多的憲法案件是跟刑法有關的我們急需補充這個刑法背景的大法官
transcript.whisperx[150].start 4923.766
transcript.whisperx[150].end 4945.025
transcript.whisperx[150].text 那這一次的提名其實可以看得出來是非常堅固這樣子的這個被提名的身手 被提名的人身手講白了這些被提名人 從張文貞這院長的被提名人是耶魯大學的法學博士他指導教授是這個Bruce Ackerman是在美國針對憲法變遷的這個頂尖的好手 頂尖的學者
transcript.whisperx[151].start 4945.746
transcript.whisperx[151].end 4961.924
transcript.whisperx[151].text 那更不用說 譬如說像這個 廖福特教授他是牛津大學 這不是在台灣的大聯盟這是世界的大聯盟的選手那他的指導教授叫Paul Gregg如果對於歐盟法有研究的話會知道他出了叫做經典的歐盟法的教科書
transcript.whisperx[152].start 4963.144
transcript.whisperx[152].end 4982.461
transcript.whisperx[152].text 在臺灣這些具有像劉靜儀教授、何大傑教授等等甚至是我們的王碧芳法官可以看到他們的身手都是一等一的身手而且在守備位置上都能夠兼顧各個位置我是非常的
transcript.whisperx[153].start 4983.982
transcript.whisperx[153].end 4997.027
transcript.whisperx[153].text 斗膽地警請大院能夠考慮剛才我提到那些點能夠謹慎、理性地來思考這次的提名讓他們通過那更不用說就像我剛才提到的這個
transcript.whisperx[154].start 5000.504
transcript.whisperx[154].end 5016.02
transcript.whisperx[154].text 抱歉喔這個有點跳掉齁這個就像我剛才提到的這些被提名人的這個在憲法法庭的領域跟需求齁目前真的是急需急需補上啦那更重要就是我剛才提到的這也不是
transcript.whisperx[155].start 5018.112
transcript.whisperx[155].end 5035.361
transcript.whisperx[155].text 其中只有一兩個人行的問題更不是其中只要挑一兩個人同意的就好的問題我尊重這個大院針對特定的人選或許有不同的意見但是就像我提到的這一份名單裡面是來自於各國的好手
transcript.whisperx[156].start 5036.301
transcript.whisperx[156].end 5053.141
transcript.whisperx[156].text 來自於各個領域的好手不是只有一兩個人行更不是只有通過一兩個人讓他同意只要勉強過關有9個人有10個人就好的問題我們憲法規定有15位大法官表示15位是我們認為需要來自於不同領域的人選
transcript.whisperx[157].start 5054.062
transcript.whisperx[157].end 5080.461
transcript.whisperx[157].text 那這一點我們是非常警醒的大院能夠審慎的來思考那最後還是要提一點就是說其實破壞容易建設難我相信要指摘這些這個大法官提名人的個別你如果要這個雞蛋裡挑骨頭吹毛球汁或許都能夠把它破壞掉但是在這個提名的過程當中因為我本身也是律師公會也是台灣法學會我們也參與前階段的這個推薦
transcript.whisperx[158].start 5082.25
transcript.whisperx[158].end 5096.562
transcript.whisperx[158].text 可以知道這中間要能夠答應點頭是需要多大的決心跟勇氣如果說大院真的對於這些名單有不同的意見我只有一個很小的請求就是能不能夠真的具體提出一個具體的人
transcript.whisperx[159].start 5097.443
transcript.whisperx[159].end 5123.42
transcript.whisperx[159].text 而且他是已經點頭答應說如果我被提名我會願意出任的人不要透過私下協商用喬的方式來做而是就把這個名單端出給社會讓大家看看他行不行能不能不過這是我最後非常卑微的請求那作為結語就是希望這個大院能夠理性審慎來進行這次大法官審查不要讓這個能守能投能打的Team Taiwan就止步在大院面前謝謝
transcript.whisperx[160].start 5124.537
transcript.whisperx[160].end 5132.952
transcript.whisperx[160].text 好 謝謝宏偉聖教授的寶貴說明接下來我們請陳瑞仁教授請說明謝謝
transcript.whisperx[161].start 5136.352
transcript.whisperx[161].end 5155.352
transcript.whisperx[161].text 主席、各位委員、各位在場先進我是退休的檢察官沈瑞仁我今天是想從一個辦案的基層的檢察官的角度來從這個憲判八來談大法官的人選的問題
transcript.whisperx[162].start 5157.745
transcript.whisperx[162].end 5180.911
transcript.whisperx[162].text 我講 憲判八他是引起很多的討論那他現在沒辦法就是說他跟大法官的人選已經被連結在一起所以我們就勇敢的面對這個問題我講憲判八他引發的一些問題第一個就是他有一些價值衝突
transcript.whisperx[163].start 5182.911
transcript.whisperx[163].end 5188.297
transcript.whisperx[163].text 還有它實務上的一些操作讓我們實務界的會有一點疑惑就對了齁
transcript.whisperx[164].start 5189.605
transcript.whisperx[164].end 5211.757
transcript.whisperx[164].text 那首先第一個就是說先判罷他所創造出來的那些特別程序是要所有的殺人案件都適用還是說後來法官有判死刑的才適用還是說檢察官有求處死刑的才適用這個現在在史物界有爭議了
transcript.whisperx[165].start 5212.998
transcript.whisperx[165].end 5232.519
transcript.whisperx[165].text 那我個人是支持是檢察官有求處死刑的才進去這一種特別程序這樣子實務上應該操作會比較順暢一點另外就是關於價值的選擇方面事實上憲判吧
transcript.whisperx[166].start 5234.046
transcript.whisperx[166].end 5250.966
transcript.whisperx[166].text 對於那個對被告有利的就是說被告本人的因素也就是說他比如說他從小成長的背景他有沒有被虐待這個其實是國際公約都有在注意的問題其實憲判吧也是漏掉了
transcript.whisperx[167].start 5252.992
transcript.whisperx[167].end 5280.728
transcript.whisperx[167].text 所以我們回過頭來看美國他們對於這個死刑的程序他們的程序我是覺得比較容易操作啦他們就是有法律先規定說哪些是判死刑的加重因素那這個由檢察官來舉證然後再來就是說哪些是減輕因素由辯護人來證明如果只有加重沒有減輕那就判死刑
transcript.whisperx[168].start 5281.388
transcript.whisperx[168].end 5284.873
transcript.whisperx[168].text 但是如果有加重又有減輕那就做一個衡量
transcript.whisperx[169].start 5286.789
transcript.whisperx[169].end 5314.452
transcript.whisperx[169].text 那衡量的結果,如果說死刑的條件其實都有了只是最後裁判認為不應該判死刑這個時候就有70%的州規定說那就一定要判終身監禁美國是有終身監禁的,他們是真的關在牢裡面的
transcript.whisperx[170].start 5317.432
transcript.whisperx[170].end 5339.683
transcript.whisperx[170].text 那另外就是有一個很重要的問題就是說數之合併跟分離的問題意思就是說比如說一個殺人犯他的殺人罪跟他另外一個罪比如說那個罪是在公車上偷拍群內風光的這種罪能不能一起審對於被告會不會造成不利
transcript.whisperx[171].start 5341.244
transcript.whisperx[171].end 5363.18
transcript.whisperx[171].text 或者是說一個大咖的跟一個小咖的人一起審判的話那一個小咖的會不會被大咖的影響就是人家因為討厭大咖就是對小咖就不利像類似這種所謂的正當法律審計事實上現判吧也是漏掉了再來就是說
transcript.whisperx[172].start 5364.703
transcript.whisperx[172].end 5387.382
transcript.whisperx[172].text 國民法官的決定他必須要被尊重到哪邊剛剛被害者家屬就有指出說為什麼一個職業法官就可以推翻六個國民法官那我們來看美國的制度美國在求死案件的老大是誰是陪審團
transcript.whisperx[173].start 5389.404
transcript.whisperx[173].end 5414.098
transcript.whisperx[173].text 美國只有兩個州是最後決定生死的是交給職業法官其他沒有廢死的州都是由陪審團做最後決定而那兩個可以由法官做最後決定的前提是說陪審團已經同意要判死刑了如果陪審團不同意判死刑的話法官也不能判死刑所以
transcript.whisperx[174].start 5414.998
transcript.whisperx[174].end 5443.525
transcript.whisperx[174].text 關於死刑案件事實上是主權在民的觀念是沒錯可是我們憲判八好像沒有去遵守這一點再來就是說關於那個求死案件的裁判者他應該有哪些資格這個在美國叫做陪審員的資格性就對了間接
transcript.whisperx[175].start 5445.276
transcript.whisperx[175].end 5462.892
transcript.whisperx[175].text 反對死刑的或者是說殺人者一定要償命的這兩種極端的人都不能去處理求死案件就對了那這一點憲判八在講到正當程序的時候也漏掉了
transcript.whisperx[176].start 5466.594
transcript.whisperx[176].end 5485.975
transcript.whisperx[176].text 那再來是精神狀態,精神狀態引起很大的爭議事實上精神狀態從我們實務操作的來看,它有兩個點最重要第一個就是說舉證責任在誰一個被告可以講說我在殺人的時候有一個聲音叫我去殺人,他只要講這樣子就夠了嗎?
transcript.whisperx[177].start 5488.055
transcript.whisperx[177].end 5504.99
transcript.whisperx[177].text 事實上是不夠的啦在美國的規定就是說你被告還是要去證明有那個聲音的存在你證明出來以後只是他的證明程度不用到無任何合理的懷疑他證明程度是比較低一點就是明白可信的
transcript.whisperx[178].start 5505.751
transcript.whisperx[178].end 5531.416
transcript.whisperx[178].text 的那種程度就可以但是他總是要復舉任責任然後第二個就是說誰來做最後決定我們現在實務上是說送給鑑定人然後只要一個醫生講說他在行為的時候精神有問題我們教教就接受實際上這是錯的在美國他明文規定最終的決定是由事實裁判者也就是陪審團他獨佔
transcript.whisperx[179].start 5534.076
transcript.whisperx[179].end 5545.981
transcript.whisperx[179].text 這個決定權是要在這邊像這兩個問題 憲判官也沒有去論述最後一個問題就是說
transcript.whisperx[180].start 5548.379
transcript.whisperx[180].end 5563.541
transcript.whisperx[180].text 有些在宣判發之後會有一些殺人犯重返社會那重返社會這個問題引起我們社會除了安全性以外其實有一個更可怕的事情就是說
transcript.whisperx[181].start 5564.762
transcript.whisperx[181].end 5586.781
transcript.whisperx[181].text 那些人將來能不能上節目去談他的案件他能不能出書他會不會成為名嘴他可不可以到被害人的大門前面去賣牛肉麵然後講說我現在每賣一碗牛肉麵我就捐30塊給被害人然後來賺這一種等於是賺災難錢
transcript.whisperx[182].start 5588.976
transcript.whisperx[182].end 5610.841
transcript.whisperx[182].text 可不可以這樣子這個問題一個負責的司法要去思考因為有一些人會被放出來這個就牽涉到所謂的保護管束有沒有終身的保護管束就對了我們現在的保護管束沒有終身的我們沒有終身監禁也沒有
transcript.whisperx[183].start 5612.148
transcript.whisperx[183].end 5620.575
transcript.whisperx[183].text 中生的保護管束的話這個社會當然會有所不滿所以這個必須要進行一些修法就對了
transcript.whisperx[184].start 5623.401
transcript.whisperx[184].end 5641.797
transcript.whisperx[184].text 我們就是從憲判八回過頭來講說大法官的人權我想大法官會最忍當心的第一個就是說他如果對於特定理念有宗教式的狂熱的話這個就有點不太合當了
transcript.whisperx[185].start 5643.086
transcript.whisperx[185].end 5643.606
transcript.whisperx[185].text 公聽會議公聽會議公聽會議公聽會議
transcript.whisperx[186].start 5666.665
transcript.whisperx[186].end 5677.24
transcript.whisperx[186].text 為了就是一個解釋只是為了替一個個案解套而不做通盤考量的這一點我們也是要去避免
transcript.whisperx[187].start 5678.854
transcript.whisperx[187].end 5707.557
transcript.whisperx[187].text 那至於說我們現在到底如何避免說未反對而反對我認為立法委員應該是在質詢方面去發揮一些作用那質詢要做得好第一個當然對他的先前的陳述先前的行為要做一些收集再來就是要建立那個質詢的題庫那質詢的題庫我在資料裡面有列一些參考
transcript.whisperx[188].start 5708.698
transcript.whisperx[188].end 5737.645
transcript.whisperx[188].text 最後就是說我們必須要面對可能會有第二波的提名那其實要有高度的政治協商的智慧去進行這件事德國的那個大法官是國會要三分之二高門檻才能通過他基本的精神其實就在政治協商啦就是大家都能夠接受最後就是說我國的
transcript.whisperx[189].start 5738.365
transcript.whisperx[189].end 5738.785
transcript.whisperx[189].text 謝謝陳瑞榮教授
transcript.whisperx[190].start 5767.563
transcript.whisperx[190].end 5768.165
transcript.whisperx[190].text 接下來我們請第7位蘇彥圖教授請
transcript.whisperx[191].start 5773.78
transcript.whisperx[191].end 5801.038
transcript.whisperx[191].text 主席、各位委員、在座各位先進大家好很榮幸有機會能夠參與今天的討論在正式發言之前可能也做一個聲明就是今天個人的發言完全只有代表個人不代表我所屬的單位也沒有跟這個推薦我參與今天會議的這個黨團有任何的溝通而且我相信我們在座所有的專家都是同樣的狀況
transcript.whisperx[192].start 5802.52
transcript.whisperx[192].end 5821.6
transcript.whisperx[192].text 我們就是提供我們的專業意見提供給大院來參考我今天想要運用10分鐘簡短的時間來談兩個層次的問題第一個層次就是說我們在進一步的討論說什麼是事任的大法官我們對於大法官事任的標準到底是什麼
transcript.whisperx[193].start 5822.921
transcript.whisperx[193].end 5823.021
transcript.whisperx[193].text 第2屆第2屆
transcript.whisperx[194].start 5852.681
transcript.whisperx[194].end 5854.403
transcript.whisperx[194].text 第1屆大法院院長、副院長及大法官同意權案公聽會議
transcript.whisperx[195].start 5876.881
transcript.whisperx[195].end 5903.692
transcript.whisperx[195].text 不過這個整體確實是很重要的但是我們的法律的規定基本上是透過總統的提名然後立法院的同意我們共同來形成一個那個就完整多樣然後具有一定的代表性的這個憲法法院的組成但是我們在個別接下來我們會比較重視的是個別的大法官的人選我們也期待說他具有一定的
transcript.whisperx[196].start 5904.392
transcript.whisperx[196].end 5904.612
transcript.whisperx[196].text 公聽會議公聽會議公聽會議公聽會議
transcript.whisperx[197].start 5933.177
transcript.whisperx[197].end 5955.326
transcript.whisperx[197].text 其實第一個最基本的條件就是英文說integrity就是操守他要有很高尚的人格沒有任何的道德上的爭議那第二個就是我們會說Competence他的能力他的專業那我們的因為我們的大法官的提名
transcript.whisperx[198].start 5956.627
transcript.whisperx[198].end 5956.647
transcript.whisperx[198].text 公聽會議
transcript.whisperx[199].start 5975.808
transcript.whisperx[199].end 5975.828
transcript.whisperx[199].text 公聽會議
transcript.whisperx[200].start 5991.454
transcript.whisperx[200].end 5992.095
transcript.whisperx[200].text 司法哲學
transcript.whisperx[201].start 6012.717
transcript.whisperx[201].end 6037.239
transcript.whisperx[201].text 司法哲學他其實除了我們都理解說法官也是人法官他有自己的政治立場意識形態這個一定程度都會影響他做的決定但是他也不是只依照他自己的政治立場跟意識形態在做決定每一個法官對於他自己的角色的認知他如何理解他的任務可能都會有不一樣
transcript.whisperx[202].start 6039.441
transcript.whisperx[202].end 6063.181
transcript.whisperx[202].text 我們的憲法特別是我們當代的自由憲政民主其實是一個非常需要包容非常多元不同的觀念跟想法所以每一個大官他解釋他如何解釋憲法他如何去運他可能都會有不同的理解不同的理論那這個都是值得我們去溝通去了解
transcript.whisperx[203].start 6063.981
transcript.whisperx[203].end 6065.383
transcript.whisperx[203].text 副院長及大法官同意權案
transcript.whisperx[204].start 6079.704
transcript.whisperx[204].end 6100.647
transcript.whisperx[204].text 被提名人都要採取這個方法這個是可能要進一步說明所以我們在特別例如在司法哲學的討論上我們有很多的分析就會提供說我們其實不同的法官他其實有不同的憲法人格我們叫constitutional persona
transcript.whisperx[205].start 6101.767
transcript.whisperx[205].end 6124.642
transcript.whisperx[205].text 這個部分它的特質都可以值得我們進一步的透過人事同意權的審查能夠進一步的來讓我們的社會理解知道說我們所選任出來的大法官是什麼樣的大法官其實第4個還有最重要的我覺得其實是
transcript.whisperx[206].start 6125.162
transcript.whisperx[206].end 6126.645
transcript.whisperx[206].text Judicial TEMPERAMENT
transcript.whisperx[207].start 6136.53
transcript.whisperx[207].end 6159.533
transcript.whisperx[207].text 那這個temperament其實很重要就是說他需要能夠展現他的一定的獨立性他可以獨立思考他可能過去都會有政治活動的參與但是他並不會因此而有產生對特定政黨的偏好他能夠展現他的公正性然後他有一定的開放open mindedness
transcript.whisperx[208].start 6159.993
transcript.whisperx[208].end 6161.154
transcript.whisperx[208].text 公聽會.第11屆第2會期第2次全院委員會
transcript.whisperx[209].start 6184.352
transcript.whisperx[209].end 6213.497
transcript.whisperx[209].text 被好的道理說服這也是重要的一個特質所以確實就會特別是在政治激化或者是分立政府時期我們就會期待說我們的大法官確實不會是像陳委員檢察官提到說他可能是很極端的或他立場很鮮明但是他比較願意是他是一個moderate他是一個比較溫和的他願意去聽不同的意見只要有這樣子的特質的大法官
transcript.whisperx[210].start 6213.857
transcript.whisperx[210].end 6235.494
transcript.whisperx[210].text 都應該是值得我們肯定應該要也要被選任的所以重點就在於說我剛才的分析事實要說明就是說大法官他作為一個法官他真的就是法官他不是穿著法袍的政客他不是依照他的個人的偏政策的偏好
transcript.whisperx[211].start 6236.094
transcript.whisperx[211].end 6236.374
transcript.whisperx[211].text 公聽會議公聽會議公聽會議
transcript.whisperx[212].start 6257.469
transcript.whisperx[212].end 6272.135
transcript.whisperx[212].text 他們真的都是超越黨派在進行他們的職務所以黨派的思考應該是在這個大法官選任裡面是最不重要甚至是不應該要出現的部分
transcript.whisperx[213].start 6272.955
transcript.whisperx[213].end 6299.426
transcript.whisperx[213].text 那在最有限的時間裡面我想要講最後一點就是說有關於我們的人事同意權的公聽會以及最後的投票應該要如何進行我只是想要提醒就是說在這個過程其實它某一個程度上來說是可以讓我們的社會更進一步的理解我們未來的大法官他大概會是什麼樣的一個法官所以它有一個重要的一個
transcript.whisperx[214].start 6300.346
transcript.whisperx[214].end 6327.583
transcript.whisperx[214].text 公民教育的一個功能但是我們在這個過程中也會擔心說對於大法官一些錯誤的期待或不當的期待都會影響了我們社會對於司法公正性的信任那這是我們會希望能夠避免的所以我舉一個例子就是1993年的時候Ruth Bader Ginsburg我們很有名的一位金斯伯格大法官他美國的一個非常
transcript.whisperx[215].start 6328.203
transcript.whisperx[215].end 6329.405
transcript.whisperx[215].text 公聽會:第11屆第2會期第2次全院委員會
transcript.whisperx[216].start 6349.226
transcript.whisperx[216].end 6366.015
transcript.whisperx[216].text 大法官當時被提名人他就說這件事情跟我的接下來要做的工作一點關係都沒有我們不希望誤導我們的公民認為說大法官都是只是依照個人的價值偏好在做決斷的話
transcript.whisperx[217].start 6366.955
transcript.whisperx[217].end 6367.736
transcript.whisperx[217].text 非常感謝蘇彥圖教授的寶貴意見
transcript.whisperx[218].start 6388.732
transcript.whisperx[218].end 6388.752
transcript.whisperx[218].text 郭榮鏗議員
transcript.whisperx[219].start 6420.839
transcript.whisperx[219].end 6448.57
transcript.whisperx[219].text 院長還有我們所有的學者專家我們立法院的同仁還有各位媒體大家好我非常喜歡東野歸吾的小說人性的善人性的惡在他的筆下寫的淋漓盡致我尤其印象深刻是他寫了一本小說叫做惡意故事的情節非常的驚悚
transcript.whisperx[220].start 6450.243
transcript.whisperx[220].end 6475.173
transcript.whisperx[220].text 東野歸吾在惡意這本小說裡面描寫惡人的惡意那種讓人不寒而慄的恐怖我到現在也是印象猶新我相信那種讓人不寒而慄的惡意的恐怖對面我們的張教授你一定也能夠感同身受因為這些就現實的發生在很多受害者身上
transcript.whisperx[221].start 6476.318
transcript.whisperx[221].end 6502.026
transcript.whisperx[221].text 讓受害者家屬感受到這些惡人們讓人不寒而慄的惡意這世界上有好人但也有壞人有一種壞人他殺人可能是因為嫉妒可能是因為仇恨可能是因為貪婪但也可能根本沒有理由完全沒有理由就是出於單純的惡意
transcript.whisperx[222].start 6504.38
transcript.whisperx[222].end 6523.819
transcript.whisperx[222].text 他想殺人他不把別人的命當命甚至他覺得殺人只是一種樂趣而已當我們的司法宮殿的最後那個王座成為這種惡意的保護者的時候我要問大家我們所有善良守法的人
transcript.whisperx[223].start 6525.114
transcript.whisperx[223].end 6552.714
transcript.whisperx[223].text 我們兢兢業業在崗位上我們照顧我們家人承擔我們的責任保護我們愛人的普通的老百姓我們要靠誰來保護很遺憾我們的大法官就是把自己當作那司法王座上的王他用自己的價值強壓被惡人剝奪生命的被害人
transcript.whisperx[224].start 6554.209
transcript.whisperx[224].end 6582.296
transcript.whisperx[224].text 他用自己的價值強壓被害者家屬流不盡的淚水他用自己的價值強壓全台灣超過八成反對廢除死刑的民意就在今年的9月20號大法官做出了實質廢死的判決我剛剛聽到林滕耀教授說的
transcript.whisperx[225].start 6583.598
transcript.whisperx[225].end 6609.233
transcript.whisperx[225].text 其實大法官就成了民進黨廢死的巧門我要跟各位說主張廢死不能說完全沒有道理但是民進黨既然你的黨綱支持廢除死刑你就勇敢的在立法院提案透過立法來宣示你今天廢死的意志結果你不以此為由不以此為盡
transcript.whisperx[226].start 6611.138
transcript.whisperx[226].end 6639.279
transcript.whisperx[226].text 你最後找了黨議的大法官繞過民意 繞過立法然後用少數大法官的意志來去做出了實質廢死的判決而這個實質廢死的判決一出來 真的一出來我印象中大概一個禮拜吧非常快啊影響就出現了第一個保護
transcript.whisperx[227].start 6640.714
transcript.whisperx[227].end 6668.925
transcript.whisperx[227].text 的就是虐殺張教授妻子的這個流行凶犯我們的大法官的保護傘第一個保護的就是虐殺女教師的流行凶犯明天是12月3號是讓我們覺得非常悲痛的日子明天12月3號反對廢除死刑
transcript.whisperx[228].start 6670.287
transcript.whisperx[228].end 6698.844
transcript.whisperx[228].text 今天不捨女教師就這樣被殺害的民眾我們在明天就要走上街頭明天下午走上街頭十年前這一位一生奉獻教育受到學生肯定有關心愛護她的家人也有她愛護關心的家人的這位女老師她不過就是到市場去買菜
transcript.whisperx[229].start 6700.899
transcript.whisperx[229].end 6722.135
transcript.whisperx[229].text 就遭遇飛來橫禍流性兇犯是隨機挑上這個奉公守法的女老師用鐵鎚重擊她很多殘忍的細節我真的我也說不出口我說不出口非常殘忍虐殺了女老師立審法院
transcript.whisperx[230].start 6726.616
transcript.whisperx[230].end 6731.845
transcript.whisperx[230].text 都認為這個兇手泯滅人性毫無教化可能五度判死
transcript.whisperx[231].start 6734.071
transcript.whisperx[231].end 6758.584
transcript.whisperx[231].text 結果大法官實質廢死宣判出來之後我們的最高法院是非常誠實的他直接對外說明為什麼今天五度判死可以改判免死為什麼最高法院直接告訴我們他是秉照大法官最新的憲法判決意思保護這位加害人
transcript.whisperx[232].start 6760.267
transcript.whisperx[232].end 6780.151
transcript.whisperx[232].text 民進黨還跟我講沒有實質廢死大法官憲判沒有實質廢死最高法院直接跟我講這五度判死的兇犯最高法院就是用大法官憲法判決的意思直接宣布他免死確判你還跟我講沒有實質廢死大法官成為惡徒惡人的救星啊
transcript.whisperx[233].start 6788.885
transcript.whisperx[233].end 6813.012
transcript.whisperx[233].text 而我們一輩子坐於英才的女老師拿到獅奪獎的女老師她的冤屈從此埋於地下再也不能昭雪她的家屬就像張老師說的要被判一輩子無期徒刑被判一輩子無期徒刑是受害者的家屬她一輩子
transcript.whisperx[234].start 6814.09
transcript.whisperx[234].end 6840.451
transcript.whisperx[234].text 都只能在暗夜裡流淚因為期盼不到正義你以為只有流性兇犯嗎沒多久,不久前一位縱火燒死七個人的真性兇犯一樣也說因為大法官做了實質廢死判決所以他也免死了,卻判了
transcript.whisperx[235].start 6842.435
transcript.whisperx[235].end 6871.43
transcript.whisperx[235].text 他在法庭上怎麼說的大家知道嗎他說我燒死七個人我比鄭捷厲害我燒死七個人我比鄭捷厲害但按照大法官的憲法判決意志這麼厲害的人是被大法官保護的人我常在講今天主張廢除死刑的人都會講說那今天冤獄怎麼辦
transcript.whisperx[236].start 6872.964
transcript.whisperx[236].end 6889.969
transcript.whisperx[236].text 我跟各位講現在刑事偵查的技術的進步幾乎已經讓冤獄是不可能發生我就直接問這些主張冤獄的人冤獄當然我們也反對主張冤獄的我要問你鄭捷是冤獄嗎所有攝影機都拍到他是冤獄嗎
transcript.whisperx[237].start 6891.57
transcript.whisperx[237].end 6910.15
transcript.whisperx[237].text 今天這位真性兇犯說我殺了7個人比鄭潔厲害他是冤獄嗎今天虐殺女老師的流性兇犯他是冤獄嗎不要再拿冤獄當藉口過去刑事偵查的手段有非常多不吉之處現在時代不一樣各位不要忘啦
transcript.whisperx[238].start 6914.298
transcript.whisperx[238].end 6941.876
transcript.whisperx[238].text 你以為只有到流性兇犯跟真性兇犯啊我們有37位死刑定驗的死刑犯我跟吳宗憲委員、翁小林委員我們在司法法院質詢多少次我告訴各位從來沒有一個官員敢告訴我說他們不會被放出來沒有一個官員敢保證大法官實質廢死判決之後第一個面對就是非常少數
transcript.whisperx[239].start 6943.493
transcript.whisperx[239].end 6949.875
transcript.whisperx[239].text 然後可能就撤銷判決然後人可能就放出來了過去我們的大法官的實質廢質判決變成這些殺人犯的幫兇而未來的殺人犯也可以非常開心的告訴大家我殺人不用擔心啊
transcript.whisperx[240].start 6972.748
transcript.whisperx[240].end 6999.448
transcript.whisperx[240].text 因為大法官就是我最強的後盾阿今天我們在這邊為什麼要進行人事同意的公聽會因為賴清德總統提名的7位大法官有6位主張廢除死刑我想請我們民進黨的朋友江心平請賴清德江心比心你教我們立法院怎麼通過這6位主張廢除死刑的大法官提名阿我怎麼通過羅志祥怎麼投得下這張票阿
transcript.whisperx[241].start 7001.328
transcript.whisperx[241].end 7025.226
transcript.whisperx[241].text 我投下這張票我對得起那些被害者跟被害者的家屬嗎我對得起台灣八成的民意嗎所以今天我們在這邊我要告訴大家大法官做實質廢死的判決對我們受害者對司法正義的踐踏我不容許 我不會背書這六位大法官繼續下去 謝謝
transcript.whisperx[242].start 7027.963
transcript.whisperx[242].end 7051.602
transcript.whisperx[242].text 好 謝謝羅志強委員發言接下來跟各位介紹一下我們現到場的有葛如君委員廖偉祥委員也到了現場那接下來我們請登記第二位鍾嘉斌委員請發言麻煩把電腦鍾嘉斌委員的簡報資料報告一下在這個安裝電腦的介紹有張祺凱委員也到了現場
transcript.whisperx[243].start 7061.681
transcript.whisperx[243].end 7061.721
transcript.whisperx[243].text 主席
transcript.whisperx[244].start 7090.27
transcript.whisperx[244].end 7112.345
transcript.whisperx[244].text 在場的各界學者、專家、代表我們委員先進媒體記者女士先升我想今天我們在這裡我要對於公聽會的內容有一個重點就是人事同意權投票記名與否如何影響大法官職權行使這個題目可能很弔詭因為從剛剛大家討論我們聽到我們在討論的是人事同意權要
transcript.whisperx[245].start 7120.748
transcript.whisperx[245].end 7149.286
transcript.whisperx[245].text 如何進行審查我剛聆聽了幾位學者、專家代表還有前面幾位委員的發言似乎我們希望從這些被提名人過去的主張他過去的判決的立場或是他在某些價值上、理念上來作為我們要對他行使同意權的一個判準是這樣嗎?
transcript.whisperx[246].start 7150.967
transcript.whisperx[246].end 7162.792
transcript.whisperx[246].text 我很佩服剛剛蘇彥途教授他所說的今天我們對於任何被提名人的審查不意味著他將來在釋憲案會採取什麼樣的釋憲的立場或結果
transcript.whisperx[247].start 7169.434
transcript.whisperx[247].end 7195.981
transcript.whisperx[247].text 就像我們不能因為我們有個案子細數法院我們要來挑法官我要看看來審理我案件的法官他是否在過去類似的案例上他是主張給予被告死刑還是給他一個更輕緩的判決人民在法院上尋求正義我們不能挑法官我們只能申請迴避有具體的案例認為該名法官不適合審理本案
transcript.whisperx[248].start 7197.151
transcript.whisperx[248].end 7214.407
transcript.whisperx[248].text 迴避的原則在目前憲法訴訟本來就有啊所以因此我們去考驗我們去細細的斟酌去透視這位被提名人他過去因此要預測他未來在憲法事件上他要做什麼樣的決定這是不可能也沒有意義的事情
transcript.whisperx[249].start 7215.339
transcript.whisperx[249].end 7242.201
transcript.whisperx[249].text 所以不可能對於他過去是否支持廢死來判斷他未來在未來重大的國家憲政議題上他會採取什麼立場這是徒勞無功也不應該的事情所以我是覺得我們對於審查的目的要先想清楚如果真的能夠透過這種方式來篩選那抱歉那只有在我們所熟悉看到的美國的陪審團制度你可以兩兆可以對於陪審團的成員
transcript.whisperx[250].start 7244.431
transcript.whisperx[250].end 7261.395
transcript.whisperx[250].text 他的族群、他的膚色、他的職業,他是否已經有新政了我們去要求更換陪審團團員,抱歉,我們今天審查的是大法官被提名人不是細數案件的陪審團的成員,這是首先要說明的
transcript.whisperx[251].start 7261.912
transcript.whisperx[251].end 7285.001
transcript.whisperx[251].text 所以我們來看一看這第一章,這是民間的監督大法官人權聯盟,他提到要看他的品格、人格特質、學識專業能力、憲政人權理念,是否要改革,交給全院委員會審查大家知道嗎?我參與過好幾次審查,審查結果審查報告提到院會跟大會報告的時候,有提到每個委員的內容嗎?有提到多數意見的內容嗎?有提到公聽會的意見嗎?沒有
transcript.whisperx[252].start 7286.772
transcript.whisperx[252].end 7310.394
transcript.whisperx[252].text 只有描述什麼時候開了公聽會什麼時候進行了諮詢、審查什麼時候開始提全院來做投票表決沒有任何對於該人選是否適任的任何的評論意見沒有好所以呢儘管我們有公聽會接下來院會的進行表決才是關鍵我們來看一下目前立法院
transcript.whisperx[253].start 7311.454
transcript.whisperx[253].end 7328.227
transcript.whisperx[253].text 行使憲法職權的各種表決規定在既有的就有的職權行使法當中它分別為對事有復議權復議案還有緊急命令的追認這是採對近民表決另外在對人的部分它有人事同意
transcript.whisperx[254].start 7329.198
transcript.whisperx[254].end 7353.369
transcript.whisperx[254].text 全有總統的彈劾案那麼這個還有總統的罷免案還有不信任案當中我們看到了對人跟對事結果就有的立法院職權行使法副議案是近平表決總統罷免案對葛魁的不信任案這是近平表決但是很奇怪的對事情的緊急命令卻是
transcript.whisperx[255].start 7355.459
transcript.whisperx[255].end 7380.194
transcript.whisperx[255].text 吳敬明表決人事同意案跟總統談判案這對人的是吳敬明表決所以我們真的看不出來在舊有的立法院職權行使法到底記不記名跟對人或對事有沒有一個清楚的界限然而在本次的國會擴權案當中通通改成敬明表決當然敬明表決這個條款並沒有在大法官釋憲的範圍內所以自然沒有受理
transcript.whisperx[256].start 7380.774
transcript.whisperx[256].end 7402.549
transcript.whisperx[256].text 所以我們不了解也不去爭論到底通通改為記名表決對我們人事同意權的審查會不會有影響但是我們來看一下同意權的修法之後呢我們現在有兩個變革第一個將公聽會入法本來每次同意權行使都有公聽會但是這次立法院執行法入法了另外也把他的人事同意權改為記名投票
transcript.whisperx[257].start 7403.977
transcript.whisperx[257].end 7421.385
transcript.whisperx[257].text 記名投票這是一個合乎一般的原則嗎在4至499號的申請函當中提到了表決應採公開這方式僅於涉及選舉事項為免人情干擾使例外採秘密投票當年在申請
transcript.whisperx[258].start 7422.895
transcript.whisperx[258].end 7432.88
transcript.whisperx[258].text 後來宣告國會擴權自肥延任案為無效的時候當時的事件申請文有包括我們在現場的主席韓國瑜院長楊瓊英委員當時102人提出對於
transcript.whisperx[259].start 7438.448
transcript.whisperx[259].end 7467.589
transcript.whisperx[259].text 對於修憲延任案申請釋憲就申請人自己提到選舉啊避免人情干擾要採取秘密投票那請問人事同意權審查算不算他這裡面所謂的應該要秘密投票但是各國的國籍不同有的採吳敬明投票像法國的眾議院像台灣的舊制但是有的是採敬明投票就是現在的新制甚至更有進一步的美國他是採點名投票啊點名投票什麼意思
transcript.whisperx[260].start 7468.949
transcript.whisperx[260].end 7491.203
transcript.whisperx[260].text 400多位國會議員一個一個叫起來輪到你說贊成還是反對這個效果比我們的記名投票更為有壓力啊因為是一票一票投啊如果投票你的時候剛好就在可否過半的那個過程你到底要同意還是反對這跟投完票再來開票知道說你到底是制裁還是反對不太一樣
transcript.whisperx[261].start 7492.366
transcript.whisperx[261].end 7511.831
transcript.whisperx[261].text 但是呢就算過去我們用吳敬明投票還是有各黨都會技術性的亮票叫做監票亮給誰看亮給監票員看亮給監票員是為了什麼目的為了政黨的黨的紀律政黨要求他所屬的國會議員應該要一致性的在人事同意權上行使一致立場
transcript.whisperx[262].start 7513.101
transcript.whisperx[262].end 7536.716
transcript.whisperx[262].text 這到底應不應該這可以討論但是我們從吳敬明投票到晉民投票我們看到吳敬明投票他沒有人情壓力但是他也不用對社會公開大眾負責反而他可以透過技術性的量票給監票人看可以貫徹政黨機率但是又不受到公共監督所以某個程度來講晉民投票似乎是比較能夠符應符合國會論證應跟社會大眾負責
transcript.whisperx[263].start 7539.258
transcript.whisperx[263].end 7563.839
transcript.whisperx[263].text 好,但是我們來看一下一旦記名投票之後會有什麼情況呢?我們看到了這是在當年我們看到的一個投票結果我們看到記名投票立委可以自由表態嗎?當年所謂的最爛的監委名單國民黨多數國民黨執政的時候國民黨提名自己刷掉自己的人因為是無記名投票如果才記名投票這種情況不管誰執政
transcript.whisperx[264].start 7565.248
transcript.whisperx[264].end 7576.757
transcript.whisperx[264].text 會不會發生 有沒有可能發生 我們來思考一下像這一張2015年馬英九總統提名的黃鴻霞等四位大法官結果蔡明成沒有通過黃鴻霞通過
transcript.whisperx[265].start 7578.308
transcript.whisperx[265].end 7606.126
transcript.whisperx[265].text 就在不久之前他參與了律師的上街頭遊行反對國會擴權案反對限訴法的一個惡修他說你不能叫我玉友友啊嚴格來講我叫馬友友啊因為我是馬英九提名的照社會上的說法誰哪個總統提名的他就是哪個人的人馬是這樣子嗎馬英九總統提名的被提名人也有被刷掉的啊也有通過的啊也有通過之後他在今年站出來反對國民黨主導的限法訴訟法的惡修啊
transcript.whisperx[266].start 7608.032
transcript.whisperx[266].end 7625.775
transcript.whisperx[266].text 我們來看一下,如果一旦才晉名投票的時候,我們會看到過去的吳晉名不會知道個別黨派或黨員、議員的投票結果結果改成晉名投票之後,每個通過的大法官都知道他得到的同意票是分布在哪些政黨
transcript.whisperx[267].start 7626.772
transcript.whisperx[267].end 7654.151
transcript.whisperx[267].text 那未來這裡面就會出現三個影響第一個被提名人通過之後他知道我今天能當上大法官是誰投票給我同意的好啦 被提名人知道了接著審查的人投票的人也知道你會通過投票除了我還有誰同意給你更重要的是社會知道了
transcript.whisperx[268].start 7655.509
transcript.whisperx[268].end 7684.034
transcript.whisperx[268].text 如果說大法官你的通過審查是我的同意那未來以我為名提出的立法委員提出的釋憲案請問這個被行使同意權的大法官他有沒有壓力啊是不是我們當年韓院長所受的人情壓力啊更重要的是社會怎麼看社會就根據這個同意權行使通過之後所有通過的大法官都有一個各黨派的委員的支持表
transcript.whisperx[269].start 7685.031
transcript.whisperx[269].end 7707.902
transcript.whisperx[269].text 未來的提名人更容易被社會標籤化這是今天我們多位的垂水專家一再提起的我們如何避免讓我們的大法官被社會以黨派來標籤化這是我們在觀察我們的同意權審查從吳敬明投票到敬明投票要大家密切去注意的攸關未來我們大法官的視線以上
transcript.whisperx[270].start 7709.363
transcript.whisperx[270].end 7719.957
transcript.whisperx[270].text 謝謝鍾嘉賓委員發言接下來我們請蔡易瑜委員請在發言之前再介紹一位台灣民眾黨委員麥玉珍委員到現場蔡易瑜委員請好
transcript.whisperx[271].start 7723.569
transcript.whisperx[271].end 7747.903
transcript.whisperx[271].text 謝謝主席、各位學者專家還有我們在場的各位委員以及各位媒體先進今天在舉行大法官人事同意權我們全院委員會所召開的一個公聽會也感謝各位學者專家可以今天來出席我們今天的公聽會我想今天我們在與審查大法官的時候剛剛
transcript.whisperx[272].start 7748.963
transcript.whisperx[272].end 7773.377
transcript.whisperx[272].text 每位學者都有提出各自的一些看法那我認為在審查大法官的時候除了著重大法官過去他所謂的一個學經歷之外那大法官過去的一個背景那以及我們每一個大法官他們在於被提名之後他們是否可以尋求到各政黨的支持那在
transcript.whisperx[273].start 7774.378
transcript.whisperx[273].end 7791.213
transcript.whisperx[273].text 投票權行使的時候獲得多數過半的一個投票讓這個被提名可以成功這個我想是整個在這個立法院被提名權跟這個同意權行使上的一個要件那也就是因為這樣
transcript.whisperx[274].start 7792.134
transcript.whisperx[274].end 7812.56
transcript.whisperx[274].text 那我要強調的第一個就是如同剛剛仲夏兵委員說的我們的同意權的行使自從不記名改成了記名之後大法官被提名人在這段時間他所尋求支持的立委他未來是會展現在這個投票的一個結果
transcript.whisperx[275].start 7813.18
transcript.whisperx[275].end 7840.33
transcript.whisperx[275].text 那既然會展現在投票的一個結果我們第一個擔心的就是說一旦政黨他行使以自信投票的要求的時候是否每一位立委就沒有辦法或者喪失了個別大法官在尋求個別立委支持的時候他們的機會就會相對的減少也就是說本來大法官可以在不記名的時候尋求個別立委因為在某些
transcript.whisperx[276].start 7841.938
transcript.whisperx[276].end 7842.178
transcript.whisperx[276].text 公聽會議公聽會議公聽會議公聽會議公聽會議
transcript.whisperx[277].start 7867.819
transcript.whisperx[277].end 7891.346
transcript.whisperx[277].text 立委會呈現高度的政黨的一個傾向那這個政黨的傾向一旦呈現出來後會不會造成這一位大法官在未來在行使憲法訴訟他所做出任何一個憲法訴訟裡面的理由書不管是贊成或者是反對的理由書裡面會不會讓外界先對他
transcript.whisperx[278].start 7892.686
transcript.whisperx[278].end 7893.907
transcript.whisperx[278].text 副院長:第11屆第2會期第2會期
transcript.whisperx[279].start 7919.386
transcript.whisperx[279].end 7940.674
transcript.whisperx[279].text 當然不同的政黨之間大家在彼此競爭的過程中都會去主張說這大法官是誰提名的是過去馬英九前總統提名的是蔡英文提名的是現任的賴清德總統提名的當然因為提名人就會讓這些被提名的大法官給他們
transcript.whisperx[280].start 7942.374
transcript.whisperx[280].end 7957.7
transcript.whisperx[280].text 賦予了好像因為提名人他們身上就帶有政黨那也就是會變成說現在在行使同意權本質上的一個困難那以現在國會的一個多數並不是提名人賴清德總統的民進黨
transcript.whisperx[281].start 7961.121
transcript.whisperx[281].end 7976.306
transcript.whisperx[281].text 是屬於國會多數那這樣的一個被提名人有辦法尋求在國會是少數的另外的政黨的支持這個難度本身是高所以我們還是期待說在於這一次的
transcript.whisperx[282].start 7977.066
transcript.whisperx[282].end 7994.72
transcript.whisperx[282].text 大法官提名的時候每一位被提名人還是可以努力的去尋求各位的支持不管是每一個政黨、每一個立委最後來通過同意權我想是一個很必要的
transcript.whisperx[283].start 7995.14
transcript.whisperx[283].end 7995.36
transcript.whisperx[283].text 公聽會議公聽會議
transcript.whisperx[284].start 8018.646
transcript.whisperx[284].end 8045.297
transcript.whisperx[284].text 同意權的司法院的未來的院長是讓他們希望他去注重幾個議題第一個議題就是法官長期過勞的議題那以臺北地方法院為例2013年的總案件量是27000件到了2023年已經增加到了35000件而且這個增加的案件當然是以詐騙的案件最多從10年前
transcript.whisperx[285].start 8047.058
transcript.whisperx[285].end 8075.178
transcript.whisperx[285].text 一年大概800件到2023年暴增到了3000件所以以這樣來說司法院的整個的一個平均的工作的時數是增加了很多平均每日的工作時數11.8小時每週的工作時數是58.9小時所以在這樣的一個情況之下我們希望未來的司法院院長如果通過了提名的話事實上
transcript.whisperx[286].start 8075.618
transcript.whisperx[286].end 8075.738
transcript.whisperx[286].text 公聽會議公聽會議公聽會議
transcript.whisperx[287].start 8102.254
transcript.whisperx[287].end 8129.002
transcript.whisperx[287].text 事實審是放在第一審那終審的法院是放在了法律審之後那所以我們第一審是一個叫做堅強的事實審第二審是嚴格的續審制第三審則是嚴格的一個法律審這樣的一個金字塔的訴訟程序的程序我們應該要關注的第一個基層法院的資源跟人力是不足的第二個上訴救濟跟司法權的一個保障第三個就是司法的信任問題那這部分
transcript.whisperx[288].start 8131.042
transcript.whisperx[288].end 8131.843
transcript.whisperx[288].text 委員會委員會委員會委員會委員會委員會委員會
transcript.whisperx[289].start 8153.446
transcript.whisperx[289].end 8174.998
transcript.whisperx[289].text 國民黨立委提案將憲法訴訟法憲由總額改成法定總額15人並要求大法官憲由總額必須要三分之二的出席以及三分之二的同意才能作出暫時處分或評議這部分會讓如果這一次的大法官沒有辦法通過
transcript.whisperx[290].start 8176.513
transcript.whisperx[290].end 8192.274
transcript.whisperx[290].text 提名沒有辦法再通過這個人事同意權的話會造成現行的大法官的總額就是只有8人但是在於憲法訴訟法如果修過的這個訴訟法第4條把它改成法定總額15人那
transcript.whisperx[291].start 8194.216
transcript.whisperx[291].end 8194.956
transcript.whisperx[291].text 公聽會議公聽會議公聽會議公聽會議公聽會議
transcript.whisperx[292].start 8222.714
transcript.whisperx[292].end 8225.57
transcript.whisperx[292].text 空窗起無法行使憲法訴訟的情況之下
transcript.whisperx[293].start 8227.301
transcript.whisperx[293].end 8255.89
transcript.whisperx[293].text 那我們可以借鏡其他國家相關的憲法法庭我們可以去看如果以韓國為例南韓在今年的下半年也發生了如果這個憲法訴訟法通過的一個情況就在今年的下半年在2024年的10月17號韓國的憲法法院院長跟兩位法官大法官卸任但國會對於任命憲法法院法官
transcript.whisperx[294].start 8257.148
transcript.whisperx[294].end 8261.782
transcript.whisperx[294].text 的程序仍然是停滯的所以依照韓國憲法法庭第23條第一項的規定
transcript.whisperx[295].start 8264.79
transcript.whisperx[295].end 8286.661
transcript.whisperx[295].text 本來案件應該由7名以上的法官出席審理但是3位法官卸任之後韓國憲法法院因為無法達到7人的門檻而無法審判因此憲法法院在10月14日一致的決定暫停憲法審判的人數7人的條款所以也是因為這樣暫時解決了這個暫時適用這個條款
transcript.whisperx[296].start 8292.031
transcript.whisperx[296].end 8318.4
transcript.whisperx[296].text 也暫時的解決憲法審判功能癱瘓的最壞情況那這件事是發生在南韓今年的10月17號那我現在要預知的就是說如果這個憲法訴訟法也真如同現在國會多數黨他們的堅持之下讓憲法法庭癱瘓讓憲法法庭無法行使的時候但是人民對於
transcript.whisperx[297].start 8319.68
transcript.whisperx[297].end 8339.58
transcript.whisperx[297].text 大法官來行使憲法上的救濟的權利不能被癱瘓我們也呼籲憲法法庭應該要去看韓國的案例然後讓整個憲法訴訟仍然是可以繼續的行使好 謝謝謝謝參議員的發言接下來請登記第4位吳宗憲委員請發言
transcript.whisperx[298].start 8342.112
transcript.whisperx[298].end 8367.201
transcript.whisperx[298].text 謝謝主席我想這次我們對於大法官的提名部分我們會做的是一個實質上的審查說絕對不會像外界所說的做包裹式的或仇恨式的同意或不同意那至少我們幾位委員我們討論的結果都是這樣而且也沒有任何黨團或任何人給我們下指導旗說我們必須要達到什麼樣的結果所以
transcript.whisperx[299].start 8367.941
transcript.whisperx[299].end 8368.061
transcript.whisperx[299].text 公聽會議公聽會議公聽會議
transcript.whisperx[300].start 8386.766
transcript.whisperx[300].end 8387.226
transcript.whisperx[300].text 公聽會議公聽會議公聽會議公聽會議
transcript.whisperx[301].start 8413.951
transcript.whisperx[301].end 8416.253
transcript.whisperx[301].text 馬英九總統時代提名大法官
transcript.whisperx[302].start 8431.903
transcript.whisperx[302].end 8453.225
transcript.whisperx[302].text 他講的這句話沒有錯啊但是這個又更看得出來就是在以前總統馬總統時代他對大法官的選擇他是希望以一個平衡多樣的角度去挑選對國家真正有利的人選來擔任大法官而不是像現在大法官的人選就過度高度的重視他的政治
transcript.whisperx[303].start 8453.826
transcript.whisperx[303].end 8454.786
transcript.whisperx[303].text 副院長:第11屆第2會期第2會期
transcript.whisperx[304].start 8478.897
transcript.whisperx[304].end 8496.85
transcript.whisperx[304].text 就認為說這個大法官跟現在我們怎麼可以提出質疑呢所以我在這邊必須講一個以前跟現在對於提名的想法是不一樣的現在的問題出在過度的高度去重視他的政治想法是什麼
transcript.whisperx[305].start 8497.972
transcript.whisperx[305].end 8514.406
transcript.whisperx[305].text 那我剛有提到大法官的提名真的必須要避免過度的政治色彩因為憲法判決他對於國家的影響力是遠遠大於一般法院法官的判決像這次我們所謂的國會改革法案
transcript.whisperx[306].start 8515.367
transcript.whisperx[306].end 8540.762
transcript.whisperx[306].text 其實大法官的判決已經完全限縮了國會的調查權但是我們也知道現在的監察院根本它的效力就不彰甚至現在的執政黨早就說以前都主張要廢除監察院現在的執政黨以前也主張要強化國會的調查權、聽證權等等的權限但是在執政之後就全部都忘記了甚至希望提名自己
transcript.whisperx[307].start 8541.582
transcript.whisperx[307].end 8565.904
transcript.whisperx[307].text 有好的大法官來幫他做最後的把關最後去阻擋正常的改革所以這個是我們認為大法官不應該過度跟政治有關係其實以往的大法官都受我們念法律的人非常非常的尊敬因為他們做出來的許多判決都是超然去對於國家對於這個憲政上面的爭議去做最好的判決但是現在我們看不到這個
transcript.whisperx[308].start 8567.901
transcript.whisperx[308].end 8595.914
transcript.whisperx[308].text 真正一個對國家有益的判決出來甚至大法官還認為說到國會說謊的官員根本就不需要去負責那這個也是不對的這個也是人民所沒有辦法接受的好 那我們再提到之前大法官他對於死刑判決的這一次限判制這個限判制他不但侵害了立法院的立法權他也侵害了普通法院法官的
transcript.whisperx[309].start 8597.349
transcript.whisperx[309].end 8597.669
transcript.whisperx[309].text 公聽會議公聽會議公聽會議
transcript.whisperx[310].start 8617.625
transcript.whisperx[310].end 8643.441
transcript.whisperx[310].text 或者是一個大法官的提名人連自己要做什麼能做什麼不能做什麼都搞不清楚的時候這個人適合當大法官嗎?我想全國念法律的人都懂我在講什麼大法官的角色是創設法律嗎?絕對不是大法官的角色是侵害法官獨立審判權嗎?絕對不是所以當他連自己的權限都搞不清楚的時候我們在人事審查就要去盯緊這一塊那
transcript.whisperx[311].start 8646.381
transcript.whisperx[311].end 8661.27
transcript.whisperx[311].text 憲判制出來非常的明顯嘛他就是在從事這樣的角色變成是特定政黨的護航者至於說是哪一個政黨我就不多說了所以我還是希望啦大法官行使解釋憲法的權利的時候
transcript.whisperx[312].start 8663.36
transcript.whisperx[312].end 8691.244
transcript.whisperx[312].text 憲法的問題的時候不應該受到政治力的影響就像他們任職時候他們一定有一個宣誓嘛他秉持超然獨立的精神所以我在審查人選的時候我會重視這一塊這也是我審查的時候非常重要的一個區塊那我覺得強化國會的權力它本來就是一個還權於民的概念怎麼會變成是像某些特定人講什麼毀憲亂政這種名詞都出來我想
transcript.whisperx[313].start 8692.789
transcript.whisperx[313].end 8718.216
transcript.whisperx[313].text 強化國會還權於民是因為立法院已經是現在國內碩國僅存在中央唯一的民意機關了早期早期在中華民國創立在五權憲法的時代其實監察院跟立法院都是民意機關但是我們在歷次修憲之後只剩下立法院是唯一的民意機關你卻不賦予這個民意機關有
transcript.whisperx[314].start 8720.307
transcript.whisperx[314].end 8720.947
transcript.whisperx[314].text 公聽會議公聽會議公聽會議公聽會議
transcript.whisperx[315].start 8746.975
transcript.whisperx[315].end 8759.566
transcript.whisperx[315].text 國會改革法案發生了一些爭議行政院、立法院、監察院發生了爭議其實憲法法庭也應該要求總統要先出來行使院紀的調解權但是卻
transcript.whisperx[316].start 8761.291
transcript.whisperx[316].end 8786.958
transcript.whisperx[316].text 大法官就完全無視於這一塊那這個也結果也是導致行政權就是無限的擴張我們不能容許大法官讓或者是現在的執政黨把我們五權 憲法的五權搞到只剩下一權 行政權所以當司法權也要向行政權靠攏的時候當監察權當考試權都向行政權靠攏的時候那我們能夠接受這樣的見解嗎而且
transcript.whisperx[317].start 8790.322
transcript.whisperx[317].end 8807.531
transcript.whisperx[317].text 立法院已經是中央碩果傾存的民意機關了我們不能讓人民只能對於政府有所不滿對行政權有所不滿他們只能期待下一次的選舉被動的再去爭取自己的權利而是我們在
transcript.whisperx[318].start 8809.014
transcript.whisperx[318].end 8829.774
transcript.whisperx[318].text 當選者執政的這4年就要有有效的機關能夠去監督行政權但是現在的制度走到最後變成人民不管選出了誰他唯一能做的就只能期待4年後的下一次選舉更換政黨否則所有的代議事制度幾乎都被破壞光了所以
transcript.whisperx[319].start 8833.597
transcript.whisperx[319].end 8850.028
transcript.whisperx[319].text 剛剛其實羅志強委員有提到民意的部分到底大法官要不要遵守民意其實我的想法跟大家跟國民黨很多人的想法其實不一定是一樣的當然我覺得大法官他不是100%
transcript.whisperx[320].start 8851.849
transcript.whisperx[320].end 8852.77
transcript.whisperx[320].text 公聽會議公聽會議公聽會議公聽會議公聽會議
transcript.whisperx[321].start 8870.513
transcript.whisperx[321].end 8895.696
transcript.whisperx[321].text 但是我們必須去思考的是如果今天大法官他在下判決的時候他是處於一個超然獨立的角色去做這個憲法判決的時候當然我們不會隨著大多數民意去走他也有他的反抗大法官有他的反抗的判決出來否則我們就所有東西都做民調了就不需要設置大法官了所以我必須講民意
transcript.whisperx[322].start 8896.806
transcript.whisperx[322].end 8921.224
transcript.whisperx[322].text 你要去對抗他,但是前提請讓自己在獨立的位置獨立、超然這時候你才能夠去主張說我們的判決跟民意是不盡相同的我希望司法還是要行使自我的節制不能夠毫無極限的侵害立法權以及司法權我說司法權是法官獨立審判的權限
transcript.whisperx[323].start 8923.365
transcript.whisperx[323].end 8947.212
transcript.whisperx[323].text 這次憲判制這個大法官的組成扣除掉迴避的三位只剩下三位有刑事判決的經驗所以我這次提出很多大法官其實在憲判制帶給社會的問題那我也很感謝剛剛陳瑞仁大學長他有提到的其實這些當我一直主張這些原本死刑的要執行者他們可能會回到社會但是
transcript.whisperx[324].start 8948.263
transcript.whisperx[324].end 8973.265
transcript.whisperx[324].text 所有的政客以及側翼都告訴國人說我在欺騙社會但是剛陳德遠大法官說這些人可能回不到社會然後司法院的刑事聆聽長、副秘書長以及法務部的常事也都說會回到社會我們要想辦法解決這個問題結果只有政客告訴我們這些人不會回到社會其實這就是我在立法院我一直堅守的一個立場我要說出實話我不能把真相隱蔽然後不告訴國人
transcript.whisperx[325].start 8974.426
transcript.whisperx[325].end 8974.886
transcript.whisperx[325].text 前大法官
transcript.whisperx[326].start 8993.74
transcript.whisperx[326].end 9023.142
transcript.whisperx[326].text 那個詹昭元曾經說過就是對於民意到底要不要重視曾經說過他說如果我們不能想像有15個貴族可以決定我們國家所有的事情那為什麼我們可以接受15個大法官不受民意定期監督改選呢然後卻可以否定人民的自我決定連前大法官他都認為其實民意不是對大法官是完全不用踩大法官就是完全都不理民意就可以其實不是這樣子很多時候我們還是必須去多加思考好
transcript.whisperx[327].start 9024.402
transcript.whisperx[327].end 9030.484
transcript.whisperx[327].text 時間的關係,我想我剛剛的論述就是我對於大法官實施審查上面我的想法,謝謝各位
transcript.whisperx[328].start 9878.402
transcript.whisperx[328].end 9880.528
transcript.whisperx[328].text 再次感謝各位學者專家接下來我們請翁曉琳委員請發言
transcript.whisperx[329].start 9884.761
transcript.whisperx[329].end 9908.429
transcript.whisperx[329].text 是,而院長,還有在座各位學者委員,各位媒體朋友,各位先生女士,大家好。這次進行大法官人事案的審查,本席以及在野黨的委員們一定會秉持著嚴格把關、寧缺勿濫的原則去審查這次的大法官人事案。
transcript.whisperx[330].start 9909.449
transcript.whisperx[330].end 9909.469
transcript.whisperx[330].text 公聽會議
transcript.whisperx[331].start 9925.775
transcript.whisperx[331].end 9926.296
transcript.whisperx[331].text 委員會.第11屆第2會期第2會期
transcript.whisperx[332].start 9943.63
transcript.whisperx[332].end 9968.07
transcript.whisperx[332].text 正因為大法官的釋憲判決是如此的重要所以更要強化憲法法庭的嚴謹度和專業度並且要慎選大法官要選出有良好的人品操守、法律專業能力並且要能夠以民為本可以抵抗政治壓力超越黨派之外並且忠於憲法精神的大法官
transcript.whisperx[333].start 9969.321
transcript.whisperx[333].end 9992.794
transcript.whisperx[333].text 由於我國大法官的提名方式是由總統一人提名全數的大法官而不是像西方的國家那麼有些是明定部分的憲法法庭的法官是由國會和法院的體系推薦產生因此當總統提名大法官人選的時候如果只看重的是與自己政治立場相近的親近人士而不是廣納
transcript.whisperx[334].start 9993.715
transcript.whisperx[334].end 10004.58
transcript.whisperx[334].text 多元不同政治立場和法律觀點的人選的時候就有可能會提名了一群政治色彩鮮明、法律見解偏頗的大法官
transcript.whisperx[335].start 10006.308
transcript.whisperx[335].end 10033.455
transcript.whisperx[335].text 大法官的獨立性是極為重要的但是要如何評價大法官們是否獨立、不向當權者靠攏最簡單的方式就是聽其言、觀其行、讀其解釋文特別是針對具有高度政治意義的事先案大法官是否勇於站在與當權者對立的那一面而不是始終都是與當權者同一陣線這個是一個非常重要的觀察指標
transcript.whisperx[336].start 10035.219
transcript.whisperx[336].end 10051.516
transcript.whisperx[336].text 我們看看過去蔡英文總統提名的那群大法官們他們在釋憲案上面總是力挺執政的政策、捍衛總統的意志、違反廣大的民意例如針對軍公教退休人員的年金改革的釋憲案
transcript.whisperx[337].start 10053.578
transcript.whisperx[337].end 10077.096
transcript.whisperx[337].text 來諸標示的釋憲案、農田水利會改制的釋憲案以及近期實質廢死的釋憲案和國會改革釋憲案等等這些都讓人不禁懷疑這群大法官究竟是捍衛人民的權益還是當權者的利益又或是標新利益難怪這群大法官會被冠為是這個保皇派的大法官
transcript.whisperx[338].start 10078.94
transcript.whisperx[338].end 10099.926
transcript.whisperx[338].text 當初蔡英文提名的這15位大法官好不容易現在已經有7位卸任了現在還留有8位的大法官未來勢必仍將繼續捍衛民進黨的執政利益因此接下來的這7位大法官的人選非常重要必須要是能夠平衡現在憲法法庭一面倒的狀況
transcript.whisperx[339].start 10101.326
transcript.whisperx[339].end 10126.015
transcript.whisperx[339].text 必須要能夠引進多元不同的法律觀點的大法官才能夠客觀正確的去解釋憲法那適用憲法今天我們審查賴清德總統提名的司法院院長、副院長和大法官的被提名人的這份名單不難看出賴總統的提名是有多麼的用人為親滿滿綠油油的親旅人士
transcript.whisperx[340].start 10130.572
transcript.whisperx[340].end 10145.769
transcript.whisperx[340].text 司法院院長、被提名人張文珍是民進黨申請國會改革法案指定的鑑定人司法院副院長、被提名人姚立民則是遊走於政治領域,更是賴清德當競選總統時的主任委員
transcript.whisperx[341].start 10150.274
transcript.whisperx[341].end 10159.422
transcript.whisperx[341].text 廖福特教授則是民進黨中央黨部的仲裁委員也是中天換照聽證會上面的鑑定人主張中天不讓他換照生律的立場非常鮮明劉靜怡教授曾經擔任黨產條例事件案的鑑定人她主張沒有違反憲法而且還參與卡管案的連署
transcript.whisperx[342].start 10173.914
transcript.whisperx[342].end 10183.621
transcript.whisperx[342].text 更是常常在社群媒體上面發表言論說是什麼看不起台灣人台灣人的金魚頭腦一片難教等等的這些言論
transcript.whisperx[343].start 10185.631
transcript.whisperx[343].end 10205.908
transcript.whisperx[343].text 鄭大的何賴傑教授也曾經在太陽花學運的時候批評當時的行政院院長江一樺說歷史會留下你的罵名他同時也是廢死學者政治立場偏綠陳韻才教授也是挺廢死的學者正是在聯署反對國會改革法案的學者的名單當中他也簽下了他的名字
transcript.whisperx[344].start 10209.371
transcript.whisperx[344].end 10219.738
transcript.whisperx[344].text 王碧芳法官則是許中麗院長長期以來的左右手,雖然主導憲法訴訟法的修法,但在這次憲法訴訟的爭議上,我們也沒有看到她有提出任何立場見解。
transcript.whisperx[345].start 10225.041
transcript.whisperx[345].end 10244.976
transcript.whisperx[345].text 台灣法學界和食物界優秀人才何其多,但是賴清德卻提名了一群具有高度爭議性而且政治立場鮮明的人來擔任大法官。如果這波人事案全數通過,可以預見,岌岌可危的大法官公信力將會被全盤摧毀。
transcript.whisperx[346].start 10249.233
transcript.whisperx[346].end 10269.949
transcript.whisperx[346].text 我們仔細看這次他所提名的這七位大法官其實只有一位具有法院事務經驗那另一位則是政治經驗豐富其餘的五位呢都是學者但是如果剩下的這七位以及接下來就是現在提名的這七位以及現在留任的八位大法官來看他們的這個憲法
transcript.whisperx[347].start 10272.731
transcript.whisperx[347].end 10274.092
transcript.whisperx[347].text 司法院院長、副院長及大法官同意權案公聽會:第11屆第2會期第2會期
transcript.whisperx[348].start 10297.594
transcript.whisperx[348].end 10315.862
transcript.whisperx[348].text 因為張文正教授他沒有行政領導實務運作的經驗對於司法改革、司法人員過勞等等這些問題到底有沒有能力去解決會不會淪為空有理想而不能實踐最後是一事無成留下一堆爛攤子給司法院跟立法院
transcript.whisperx[349].start 10317.975
transcript.whisperx[349].end 10330.45
transcript.whisperx[349].text 我們知道這幾年來大法官常常自以為是人權的進步者很喜歡將自己的道德信念強加於人民的身上透過視線來造線來造法那麼最後
transcript.whisperx[350].start 10334.363
transcript.whisperx[350].end 10359.048
transcript.whisperx[350].text 很有可能會讓台灣從所謂的民主法治國被顛覆成為大法官治國那麼這樣這一群的大法官呢他們過去常常變更見解或是對爭議性的議題做出與大多數民意相左的判決那麼這樣這樣子的一個態度這樣的做法基本上是違反了我們講的大法官呢不應該要
transcript.whisperx[351].start 10360.988
transcript.whisperx[351].end 10361.689
transcript.whisperx[351].text 《行使司法院院長及大法官同意權案》公聽會議
transcript.whisperx[352].start 10391.048
transcript.whisperx[352].end 10397.698
transcript.whisperx[352].text 但是一旦當憲法法庭大法官成為超級立法者的時候還有誰能夠制衡?
transcript.whisperx[353].start 10399.4
transcript.whisperx[353].end 10422.215
transcript.whisperx[353].text 最後呢我還要再強調的是大法官的選拔不是單選一個人而是我們選擇的是對這個職務名器的重視選擇的是我們對一個全民認同的憲法價值因此大法官的人事案絕不能夠草率通過必須嚴格把關、寧缺勿濫否則將造成憲法災難以上謝謝
transcript.whisperx[354].start 10427.881
transcript.whisperx[354].end 10456.684
transcript.whisperx[354].text 好,謝謝翁曉琳委員發言接下來請登記第7號吳村城委員請謝謝院長我知道院長非常重視我們的在這個公聽會當中的出席那我之所以這個這麼晚到是因為在8樓在審我所主題的壯士待遇促進法那因為必須要逐條討論,我要逐條回答所以以至於
transcript.whisperx[355].start 10458.125
transcript.whisperx[355].end 10475.117
transcript.whisperx[355].text 今天我是代表臺灣民眾黨為一個議席來表達我們對於大法官行使同意權的看法我們的主題是我們需要具備專業素養與良知不受政治影響的大法官
transcript.whisperx[356].start 10476.278
transcript.whisperx[356].end 10502.593
transcript.whisperx[356].text 司法院的政府院長及大法官們堅負著國家司法的最後法律防線承擔著處理重要法證、人權法律的解釋與憲政機關爭議解決的重大責任所以各國對大法官皆賦予崇高的地位不應受到政治力的干擾或讓不具專業素養或德行者來擔任這個職位
transcript.whisperx[357].start 10505.955
transcript.whisperx[357].end 10531.951
transcript.whisperx[357].text 以民主成熟還有制度的完善的美國為例大法官的人選對未來美國社會的道德價值觀的導向是舉足輕重因此被世界許多國家肯定民主化成就的台灣大法官的提名若只是政治的考量與短視經歷將對台灣的民主法治面臨的嚴重危機
transcript.whisperx[358].start 10533.332
transcript.whisperx[358].end 10555.745
transcript.whisperx[358].text 這次大法官的提名名單一出多數人選的獨立性及公正性就被質疑台灣民眾黨在9月23號的時候發函請司法院正副院長及大法官被提名人來填答問卷調查表7位大法官被提名人
transcript.whisperx[359].start 10558.158
transcript.whisperx[359].end 10564.352
transcript.whisperx[359].text 後來卻發表聯合聲明指出暫時無法答覆資格及適任性的問題
transcript.whisperx[360].start 10566.071
transcript.whisperx[360].end 10585.928
transcript.whisperx[360].text 11月26日本黨團再次依法提出的問卷調查表就公共服務及參與法律工作之力司法及法律改革活動的參與政黨及政黨活動等基本資料及大法官領選制度修憲門檻與民主的實踐還有113年憲判至第9號國會改革案
transcript.whisperx[361].start 10591.973
transcript.whisperx[361].end 10615.88
transcript.whisperx[361].text 判決等問題要請所有被提人認真看待並據實來填寫,正是符合獅子審查精神來審慎的行使人士的同意權,讓通過行使大法官能夠超出黨派不受任何的干涉,對國家發展有遠見,能重建人民對司法的信心與對民主機制的信任。
transcript.whisperx[362].start 10617.594
transcript.whisperx[362].end 10629.153
transcript.whisperx[362].text 所以我們再次提出也呼籲每位被提名人在12月10日進行實質質詢之前能夠回覆
transcript.whisperx[363].start 10630.441
transcript.whisperx[363].end 10651.418
transcript.whisperx[363].text 然後請各位自行的判斷這樣的問卷該不該回覆不要看上面的臉色不要等像小學生在等老師的指示如果是這樣的大法官這樣被提名的人怎麼樣來承擔這種獨立大法官連填一個問卷自己都不敢
transcript.whisperx[364].start 10652.398
transcript.whisperx[364].end 10654.74
transcript.whisperx[364].text 大法官是民主國家憲政的守護者,具有重要民主的任務,應該要超然獨立。
transcript.whisperx[365].start 10675.02
transcript.whisperx[365].end 10694.037
transcript.whisperx[365].text 甚至憲法法庭可以審理總統、副總統的彈劾案以及政黨違憲解散的案件因此若大法官失去獨立性及公正性、專業素養與歷練不足還可能淪為黨同華裔的工具
transcript.whisperx[366].start 10695.834
transcript.whisperx[366].end 10723.645
transcript.whisperx[366].text 今年10月25日憲法法庭宣布了令人遺憾民主倒退的國會改革憲判結果身為憲法的守護者卻屈服於權力之下為了落實民主制度權者的分立杜絕行政機關逃避監督的謬框為要求行政官員不能說謊、卸責今年立院三讀通過了國會改革法案
transcript.whisperx[367].start 10724.125
transcript.whisperx[367].end 10749.397
transcript.whisperx[367].text 是為了要健全國會監督的機制矯正政治權利集中於個人或行政權的現況但大法官現判沒收了本應屬於立法委員的執行權、調查權、聽證權讓不符合民主政治運作的總統繼續有權無責行政官員與被詢使可以公然說謊執政黨可以護航不法的官員
transcript.whisperx[368].start 10751.154
transcript.whisperx[368].end 10772.598
transcript.whisperx[368].text 這樣子有可能繼續讓行政機關怠惰避責因此對提名人必須說明清楚對國會改革的立場與見解的論述因為沒有權者相輔的責任政治離完善的民族就天壤地別的差距了
transcript.whisperx[369].start 10773.769
transcript.whisperx[369].end 10789.595
transcript.whisperx[369].text 今年來對於不少機構對於司法信任度進行了民調結果顯示大多數的民眾不信任司法今年多項民調的指標都顯示過半的台灣民眾
transcript.whisperx[370].start 10790.715
transcript.whisperx[370].end 10791.455
transcript.whisperx[370].text 今年8月一項民調顯示
transcript.whisperx[371].start 10807.918
transcript.whisperx[371].end 10833.725
transcript.whisperx[371].text 至今對於之前8年完全執政的民進黨政府所推動的司法改革民眾非常滿意的只佔6.7%還算滿意的只佔17.4%當人民普遍對以表達對司法的高度不滿時在行使同意權時這些人選是否能夠讓司法被信任是重要的考量因素之一
transcript.whisperx[372].start 10834.645
transcript.whisperx[372].end 10853.834
transcript.whisperx[372].text 我們期待大法官在憲政、政治與社會等重大爭議事件上能夠積極地扮演英靈的角色循序漸進地推進國家與社會的變革也必須要有遠大的大法官不考量太多的當權者意志與政治正確
transcript.whisperx[373].start 10855.035
transcript.whisperx[373].end 10871.043
transcript.whisperx[373].text 祈許大法官要為明日而生而非為今日而爭重要的是要具備足夠的法學素養還有獨立性還有豐富的人生經歷這應該是被關注的終點以上
transcript.whisperx[374].start 10877.552
transcript.whisperx[374].end 10899.344
transcript.whisperx[374].text 謝謝吳春城委員的發言特別跟審查小組的委員的詢問跟各位學者專家報告一下,據發言完畢我們現在進行最後一個程序請學者專家針對剛才各位審查委員的所有的詢問提出綜合答覆,沒有學者專家發言三分鐘我們首先再請我們林滕耀教授,請好,謝謝院長
transcript.whisperx[375].start 10906.164
transcript.whisperx[375].end 10931.065
transcript.whisperx[375].text 剛才聽了很多的發言以後發現大家對於憲政的這個東西好像都不太關切所以我最關切的就是現在這些大法官提名人他們對於憲政的看法對於憲政的關切的程度我認為是不及格的
transcript.whisperx[376].start 10932.918
transcript.whisperx[376].end 10960.735
transcript.whisperx[376].text 特別是少數政府、少數總統的賴清德他對於憲政已經有三個大的禍害第一個就是說要到立法院跟人民報告結果他又不來了第二個最大的他嚴重的問題說我當選總統以後行政院長要經過人民的立法院同意
transcript.whisperx[377].start 10962.11
transcript.whisperx[377].end 10983.416
transcript.whisperx[377].text 現在也沒有啊第三個就是大選的半年,當了總統半年多了竟然夥同啊,除了他自己以外還夥同立法院的黨團、民進黨黨團還有行政院和司法院提這個國會改革違憲案的這個案子
transcript.whisperx[378].start 10984.332
transcript.whisperx[378].end 11012.497
transcript.whisperx[378].text 是非常不對的因為你要想想 行政院 憲法規定清清楚楚行政院經過復議後這個行政院要接受立法院的這個決議啊怎麼還可以提釋憲呢更荒唐的是 剛剛吳委員講過了監察院已經不是國會了嘛現在的大法官為什麼要給這個監察院調查權呢這是不對的事情啊
transcript.whisperx[379].start 11013.629
transcript.whisperx[379].end 11041.954
transcript.whisperx[379].text 因為唯一的國會是立法院你把立法院的教材全部砍掉這是非常不像話的大法官吧所以我才講現在的大法官已經變成憲政上的過街老鼠很多的民調都不贊同他們很多的民意都不支持他們所以我是覺得現在這個立法院要站穩腳跟因為
transcript.whisperx[380].start 11043.936
transcript.whisperx[380].end 11068.854
transcript.whisperx[380].text 大法官最重要的是守護憲政體制現在沒有守護憲政你像那個人民的人權各級法院都已經在保護了嘛而且一審一審在審啦所以大法官最重要的職責就是守護憲政現在憲政體制敗壞了這些大法官許忠利這一票人還有這些
transcript.whisperx[381].start 11070.22
transcript.whisperx[381].end 11094.596
transcript.whisperx[381].text 現在被提名的這些人完全漠視憲政體制的敗壞專門跟著要附和民進黨我講的難聽一點就是民進黨化的大法官人民進黨化的大法官能夠受到人民同意嗎當然不可以謝謝謝謝林滕耀教授的寶貴發言接下來我們再請第二位劉書斌教授請
transcript.whisperx[382].start 11098.895
transcript.whisperx[382].end 11110.011
transcript.whisperx[382].text 憲法法庭院大法官是憲法的守護者的確是必須要有幾個非常重要的標準就是專業、良知、操守
transcript.whisperx[383].start 11111.914
transcript.whisperx[383].end 11112.234
transcript.whisperx[383].text 公聽會議公聽會議公聽會議公聽會議公聽會議
transcript.whisperx[384].start 11139.514
transcript.whisperx[384].end 11165.854
transcript.whisperx[384].text 他在於說因為已經是我們因為憲法訴訟法裡面特別強調的是他要能夠他做的是這個已經是變成審判化那這樣的一個司法化裁判化這個過程當中他必須要有法官的這樣的一個資歷然後才能夠知道說他在遇到到所謂的實務經驗上面的時候怎麼樣去應對回應到民眾跟現實當中社會的期待那在這個前提之下的時候
transcript.whisperx[385].start 11166.454
transcript.whisperx[385].end 11167.154
transcript.whisperx[385].text 公聽會議公聽會議公聽會議公聽會議
transcript.whisperx[386].start 11185.748
transcript.whisperx[386].end 11209.799
transcript.whisperx[386].text 能夠承擔這些的責任在這樣的情況之下的時候所以他的實務經營就非常重要另外我們看到作為審議憲法作為憲法守護者當中在審議過程當中目前的情況是二分之一全院委員二分之一出席之後二分之一在同意這個情況之下其實都比
transcript.whisperx[387].start 11211.431
transcript.whisperx[387].end 11226.868
transcript.whisperx[387].text 太多的在做憲法在規定的這樣的一個同意權或是說議決法案的這樣的過程事實上都門檻要低尤其像包括在我們剛剛知道的是說四字的憲判的第8號解釋當中
transcript.whisperx[388].start 11228.269
transcript.whisperx[388].end 11252.875
transcript.whisperx[388].text 司法院的對於死刑的這樣一個宣判的這個情況之下必須要全部的委員都要同意法官都要同意這個情況來講更是一個低的門檻既然是針對憲法的守護者的時候特別是如果目前的這樣子的一個二分之一通過的這樣的一個表決的同意事實上是太過低於對於一個慎重來講是沒辦法達成的所以在這個情況之下
transcript.whisperx[389].start 11253.635
transcript.whisperx[389].end 11255.876
transcript.whisperx[389].text 非常感謝劉淑冰教授寶貴意見接下來請第三位我們林俊宏教授請
transcript.whisperx[390].start 11284.596
transcript.whisperx[390].end 11310.717
transcript.whisperx[390].text 謝謝主席其實剛剛聽了前面就是專家跟委員的發言其實我有一個疑問其實最大的疑問是說今天我們到底在審什麼我們是在審前任的大法官還是在審查即將要進來的大法官我們好像在討論的都是之前大法官對於先前解釋的意見那我們對於我們現在要進行人事同意權的這幾位大法官的部分我覺得好像沒有太多的討論
transcript.whisperx[391].start 11312.498
transcript.whisperx[391].end 11335.214
transcript.whisperx[391].text 那再加上我們剛剛的討論好像也避極的focus在兩個部分一個就是113憲判八就是死刑的部分跟113憲判九也是立法院職權行使法的部分那這也是前面的大法官做的那我們是不是在做審查的時候我想立法院在審查的時候應該是要再討論說接下來我們可能會成為大法官的這一些人是不是適合
transcript.whisperx[392].start 11336.175
transcript.whisperx[392].end 11364.311
transcript.whisperx[392].text 而不是去討論說過去我們不認同過去大法官的看法我不認同過去大法官的見解所以我不認同他們所以我也不認同現在即將進來的人我覺得這個邏輯的跳躍其實是有點比較難以理解的第二個部分我想特別提的是剛剛一直提到關於113憲判8死刑這件事情這個部分可以直接拿出來討論的是因為我覺得有很多的誤解其實在法律的實務上
transcript.whisperx[393].start 11366.413
transcript.whisperx[393].end 11392.552
transcript.whisperx[393].text 113憲判八現在被理解成說我們好像創造了新標準其實如果是觀察台灣的實務的眼睛來看的話113憲判八所建構的非犯情節罪嚴重之罪的這個標準從哪裡來的是從我們的公民與政治權利公約來的是公正公約來的2009年通過公正公約之後我們最高法院在2012年開始進行了相關的生死變
transcript.whisperx[394].start 11394.414
transcript.whisperx[394].end 11421.256
transcript.whisperx[394].text 2009年的公民政治權利公約是誰簽的是誰把它引進的如果大家沒有去查 稍微查一下應該是我們的馬總統引進的我們很樂意的去引進國際公約我們很樂意的立了一個施行法把國際公約成為我們的國內法這個是我們先前的一個政治決定那也讓我們的法律進行相關的適用所以最高法院在公正公約的脈絡之下
transcript.whisperx[395].start 11422.742
transcript.whisperx[395].end 11450.395
transcript.whisperx[395].text 依照我們的實務見解跟這個相關的規範建立了最嚴重犯刑的標準然後逐步的把它完整化我們再去觀察憲判制113憲判8它的實質內容跟我們過去最高法院的內容其實沒有什麼不一樣所以剛剛提到說因為我們大法官做了113憲判8影響我們的實務見解我覺得講反了啦它是最高法院的見解引領著我們的
transcript.whisperx[396].start 11451.906
transcript.whisperx[396].end 11453.567
transcript.whisperx[396].text 謝謝林俊宏教授寶貴的意見接下來我們請張建能教授請謝謝
transcript.whisperx[397].start 11479.958
transcript.whisperx[397].end 11486.735
transcript.whisperx[397].text 身為實際上的受害者我講的就是人間煙火
transcript.whisperx[398].start 11488.647
transcript.whisperx[398].end 11511.942
transcript.whisperx[398].text 發生在可能以後也會發生在你我身上的問題剛才提到兩公約我最感受最深的他根本就沒有廢除死刑那要判死刑是要犯最嚴重之罪誠如我剛才第一次發言提問的何謂最嚴重之罪沒有定義
transcript.whisperx[399].start 11513.322
transcript.whisperx[399].end 11514.963
transcript.whisperx[399].text 大法官:第11屆第2會期第2次全院委員會
transcript.whisperx[400].start 11542.415
transcript.whisperx[400].end 11561.574
transcript.whisperx[400].text 事先案它跟刑事是不可分割的因為它就影響最高法院逐級的法官的審判怎麼可以分割呢?就像一個刑案它又性侵又搶劫又殺人你可以分開審判嗎?各位想想看
transcript.whisperx[401].start 11563.209
transcript.whisperx[401].end 11582.308
transcript.whisperx[401].text 這第一點我們都知道啦我雖然不是法律專業但是我也有邏輯的思考的能力我們想想看憲法是國家的根本大法剛才很多學者專家還有委員都提到大法官是在維護憲法
transcript.whisperx[402].start 11585.046
transcript.whisperx[402].end 11601.3
transcript.whisperx[402].text 他解釋他偏差了你怎麼維護他反而造法立法所以是不是應該好好的把大法官提名人以往的所作所為做一併的來考量因為事關重大
transcript.whisperx[403].start 11602.765
transcript.whisperx[403].end 11603.966
transcript.whisperx[403].text 公聽會.事由.第11屆第2會期第2會期
transcript.whisperx[404].start 11627.591
transcript.whisperx[404].end 11651.374
transcript.whisperx[404].text 我要引詢指的啦馬遜要順服你才能夠求他好不好求其良世代夫你要求他信切要信使才來知道他求他有沒有智能我們大法官的提名人都是水養豐富可是各方面我們是不是要嚴加的審查我是認為這應該列入考慮謝謝
transcript.whisperx[405].start 11653.626
transcript.whisperx[405].end 11680.074
transcript.whisperx[405].text 謝謝張其能教授寶貴的意見接下來我們再請洪偉聖教授請是 謝謝院長 謝謝在座先進千絲萬縷我只挑幾個重點來跟大院報告第一個還是回應到我剛才在簡報最後提到的如果說大院針對這個人選坦白說剛才聽到很多描述性的字眼比如說大法官要專業、良知、做憲法的守護者真的沒有人會反對但是問題是在於什麼在於說那
transcript.whisperx[406].start 11680.874
transcript.whisperx[406].end 11709.745
transcript.whisperx[406].text 那如果這些人不適合,那適合的人在哪裡?我剛才其實聽著這個羅委員講的一陣言詞說這個實行支持實行他就投不下去坦白說我有點膽戰心驚為什麼?因為這個大家也知道李念祖律師是這個跟職政黨的立場不一定相近事實上也很多社會或在野黨是或者說國會的多數黨是支持的他是實行案的這個代理人那如果要講得這麼斬定截鐵我們要把他排除在外面嗎?
transcript.whisperx[407].start 11710.285
transcript.whisperx[407].end 11719.063
transcript.whisperx[407].text 或者是說剛才說年紀太大就這個投不下去那要把他排除在外嗎這個我一直提到的原因也在這裡就是說我們要
transcript.whisperx[408].start 11720.56
transcript.whisperx[408].end 11747.7
transcript.whisperx[408].text 不要要跳脫那些描述性的字眼具體而來看如果這個人不適合我認為有哪一個人跟他的手背後指一樣而且更好的我想這才是這個有助於整個審訊程序的那第二個我也很認同所謂的這個大法官應該要適合適時的跟當權者對立不過有個疑問啦就是說譬如說我現在在這邊發言到底我是要支持藍白才是跟當權者對立還是支持綠的才是支持跟當權者對立
transcript.whisperx[409].start 11749.701
transcript.whisperx[409].end 11775.187
transcript.whisperx[409].text 我不知道但是我有一個觀察可以提供給大院思考在這些被提名人當中有非常多人提到他們在過去戒嚴時期威權時代的感受跟經驗從而對他的人生做出很大的決定很多的法律人同樣經過了威權跟過去戒嚴時代但是會做出不同的選擇有人即使到戒嚴之後民主化之後仍然鞏固支持威權
transcript.whisperx[410].start 11776.127
transcript.whisperx[410].end 11803.093
transcript.whisperx[410].text 那我們在東歐跟中南美已經看到了有非常多的過去的威權體制現在仍然希望用著利用民主來反民主藉著人權來打壓人權這個是所有新興民主國家的共同擔憂那這一批的大法官當中既然有非常多的這個被提名人有表示過他們有曾經同樣的經驗也因此做出人生的重要選擇對於威權、戒嚴、人權保障有著相當的堅持
transcript.whisperx[411].start 11804.313
transcript.whisperx[411].end 11833.056
transcript.whisperx[411].text 我想這正是我們需要的大法官對於人權、民主、自由的堅持那跟當權者對立就像我提到了目前的台灣社會當權者隨時會改變我們很難說支持或者過去哪一個見解他就是支持當權者或者是跟當權者對立最後20秒我想談省建程序台灣不是德國我們是總統制不是內閣制剛才提到的這個司法院組織法4條的各款如果說大院真的認為只要
transcript.whisperx[412].start 11833.737
transcript.whisperx[412].end 11835.558
transcript.whisperx[412].text 謝謝洪偉正教授的寶貴意見接下來我們請陳瑞仁教授請發言
transcript.whisperx[413].start 11855.308
transcript.whisperx[413].end 11881.438
transcript.whisperx[413].text 我想今天大家都在集中應不應該為反對而反對那我想如果要避免被人家講說是為反對而反對的話我想還是要透過實質的審查來突顯說是有一個中立性跟公平性那我想第一個當然就是要避免情緒性的字眼的話應該會比較好一點
transcript.whisperx[414].start 11883.69
transcript.whisperx[414].end 11894.201
transcript.whisperx[414].text 至於說應不應該考慮過去的大法官的一些見解事實上這個是如果是有用一個角度來看也就是說
transcript.whisperx[415].start 11895.939
transcript.whisperx[415].end 11912.213
transcript.whisperx[415].text 你認為大法官裡面保守派太多了那應該加一點自由派的進去那才能夠讓它平衡這個時候去檢討過去有它的意義在所以不能說都不要去討論過去但是討論過去的原因是在這裡
transcript.whisperx[416].start 11916.431
transcript.whisperx[416].end 11927.584
transcript.whisperx[416].text 第二個當然我們不要因為某一個人曾經聯署過什麼或參加過什麼就反對而應該再問他說你的理念在哪裡
transcript.whisperx[417].start 11928.553
transcript.whisperx[417].end 11944.021
transcript.whisperx[417].text 那你的理念會不會影響到你日後在法律間接上的那種決定還是你會很中性的、很理性的去聽別人的意見這一點再繼續問下去第三個
transcript.whisperx[418].start 11947.102
transcript.whisperx[418].end 11970.604
transcript.whisperx[418].text 我比較具體的意見就是說我認為各個黨團應該在這一次審查之後要把成績單交出來也就是說對每一個被提名人你們的評價在哪裡把它列出來像美國律師公會他們是有把被批評的人列為五個等級然後評分之後送給參議院參考
transcript.whisperx[419].start 11972.405
transcript.whisperx[419].end 11995.532
transcript.whisperx[419].text 所以這種做法我們覺得我國可以把它引進來就是說我們立法委員確實有在打分數而不是說意氣用事啦那最後一點我就說我為什麼會一直強調說曾經在犯罪的原野或者法庭的地板上拿著
transcript.whisperx[420].start 11996.903
transcript.whisperx[420].end 11997.383
transcript.whisperx[420].text 副院長:第11屆第2會期
transcript.whisperx[421].start 12022.29
transcript.whisperx[421].end 12046.795
transcript.whisperx[421].text 謝謝陳瑞仁教授的寶貴意見接下來請蘇彥圖教授請是 謝謝我想要針對三個問題提出我的一個簡單的回應第一個是我感覺到說我們聽到一個論點就是一代不如一代論就可能會覺得說以前的大法官都很受到大家的尊敬但現在大法官已經沒有或者說以前的提名都非常的嚴謹但是這一次並不是
transcript.whisperx[422].start 12047.575
transcript.whisperx[422].end 12071.513
transcript.whisperx[422].text 那我個人從可能要提出一個另外一個解讀就是說也許問題並不是出在說以前的大法官特別優秀後來的大法官越來越不優秀或者說我們這次的提名比較變得比較更更不公正或更不嚴謹而是因為我們的社會改變了我們的社會變得更加的政治對立對立得更加嚴重以至於即便是
transcript.whisperx[423].start 12073.615
transcript.whisperx[423].end 12096.21
transcript.whisperx[423].text 總統提出來是溫和的、理性的、有事格的大法官人選也會被部分的人認為說他非常的不好所以這個問題所以我們進一步就會去希望說我們一方面也希望說我們的大法官都能夠公正獨立的行使職權那我們就會希望我們的選驗程序也能夠
transcript.whisperx[424].start 12097.091
transcript.whisperx[424].end 12097.251
transcript.whisperx[424].text 公聽會議公聽會議公聽會議
transcript.whisperx[425].start 12116.579
transcript.whisperx[425].end 12116.599
transcript.whisperx[425].text 公聽會議
transcript.whisperx[426].start 12137.714
transcript.whisperx[426].end 12137.994
transcript.whisperx[426].text 副院長:第11屆第2會期
transcript.whisperx[427].start 12154.44
transcript.whisperx[427].end 12154.46
transcript.whisperx[427].text 公聽會議
transcript.whisperx[428].start 12173.092
transcript.whisperx[428].end 12173.452
transcript.whisperx[428].text 公聽會議公聽會議公聽會議
transcript.whisperx[429].start 12199.798
transcript.whisperx[429].end 12208.583
transcript.whisperx[429].text 非常感謝蘇彥圖教授的寶貴發言也跟各位學者專家特別報告一下非常感謝大家今天歷任立法院非常感謝我們綜合答覆就進行到此
transcript.whisperx[430].start 12226.109
transcript.whisperx[430].end 12247.872
transcript.whisperx[430].text 各位剛才的寶貴發言對於我們立法院這個公聽會對於未來立法委員在行使同意權的時候有非常重大的幫助再次感謝那剛才各位的發言我們都會列入紀錄也跟大家報告一下那很快就會投票了我想這個投票大家
transcript.whisperx[431].start 12249.335
transcript.whisperx[431].end 12249.855
transcript.whisperx[431].text 委員會主席
IVOD_ID 16328
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16328
日期 2024-12-02
影片種類 Full
開始時間 2024-12-02T08:30:30+08:00
結束時間 2024-12-02T11:55:59+08:00
支援功能[0] ai-transcript