iVOD / 17239

Field Value
IVOD_ID 17239
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17239
日期 2026-01-28
影片種類 Full
開始時間 2026-01-28T08:36:47+08:00
結束時間 2026-01-28T13:08:00+08:00
影片長度 04:31:13
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/eeffa975d6a1e3ead3a2b43aa665e40728dbefb2f530c7a7e692bdb9a1e47977a2e7a94721db057a5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-01-28T09:00:00+08:00
會議名稱 7.陳被提名人宗義-立法院第11屆第4會期內政、司法及法制委員會第2次聯席會議(事由:審查行政院函送中央選舉委員會委員提名名單,游盈隆為委員並為主任委員,胡博硯為委員並為副主任委員,黃文玲、李禮仲、蘇嘉宏、蘇子喬及陳宗義均為委員,請同意案。【1月28日及29日二天一次會】)
委員名稱 完整會議
委員發言時間 08:36:47 - 13:08:00
transcript.pyannote[0].speaker SPEAKER_24
transcript.pyannote[0].start 1603.96596875
transcript.pyannote[0].end 1604.03346875
transcript.pyannote[1].speaker SPEAKER_24
transcript.pyannote[1].start 1604.21909375
transcript.pyannote[1].end 1604.72534375
transcript.pyannote[2].speaker SPEAKER_13
transcript.pyannote[2].start 1615.27221875
transcript.pyannote[2].end 1618.27596875
transcript.pyannote[3].speaker SPEAKER_07
transcript.pyannote[3].start 1618.81596875
transcript.pyannote[3].end 1622.47784375
transcript.pyannote[4].speaker SPEAKER_13
transcript.pyannote[4].start 1623.74346875
transcript.pyannote[4].end 1628.63721875
transcript.pyannote[5].speaker SPEAKER_13
transcript.pyannote[5].start 1629.16034375
transcript.pyannote[5].end 1630.00409375
transcript.pyannote[6].speaker SPEAKER_16
transcript.pyannote[6].start 1630.84784375
transcript.pyannote[6].end 1641.07409375
transcript.pyannote[7].speaker SPEAKER_16
transcript.pyannote[7].start 1641.20909375
transcript.pyannote[7].end 1642.82909375
transcript.pyannote[8].speaker SPEAKER_16
transcript.pyannote[8].start 1642.98096875
transcript.pyannote[8].end 1647.18284375
transcript.pyannote[9].speaker SPEAKER_16
transcript.pyannote[9].start 1647.41909375
transcript.pyannote[9].end 1650.42284375
transcript.pyannote[10].speaker SPEAKER_16
transcript.pyannote[10].start 1650.74346875
transcript.pyannote[10].end 1656.49784375
transcript.pyannote[11].speaker SPEAKER_16
transcript.pyannote[11].start 1656.80159375
transcript.pyannote[11].end 1660.90221875
transcript.pyannote[12].speaker SPEAKER_16
transcript.pyannote[12].start 1661.12159375
transcript.pyannote[12].end 1664.15909375
transcript.pyannote[13].speaker SPEAKER_16
transcript.pyannote[13].start 1664.36159375
transcript.pyannote[13].end 1667.11221875
transcript.pyannote[14].speaker SPEAKER_16
transcript.pyannote[14].start 1667.51721875
transcript.pyannote[14].end 1669.13721875
transcript.pyannote[15].speaker SPEAKER_16
transcript.pyannote[15].start 1669.47471875
transcript.pyannote[15].end 1673.13659375
transcript.pyannote[16].speaker SPEAKER_16
transcript.pyannote[16].start 1673.60909375
transcript.pyannote[16].end 1675.39784375
transcript.pyannote[17].speaker SPEAKER_16
transcript.pyannote[17].start 1675.61721875
transcript.pyannote[17].end 1678.14846875
transcript.pyannote[18].speaker SPEAKER_16
transcript.pyannote[18].start 1678.33409375
transcript.pyannote[18].end 1682.28284375
transcript.pyannote[19].speaker SPEAKER_16
transcript.pyannote[19].start 1682.46846875
transcript.pyannote[19].end 1684.37534375
transcript.pyannote[20].speaker SPEAKER_16
transcript.pyannote[20].start 1684.54409375
transcript.pyannote[20].end 1689.37034375
transcript.pyannote[21].speaker SPEAKER_16
transcript.pyannote[21].start 1689.60659375
transcript.pyannote[21].end 1692.28971875
transcript.pyannote[22].speaker SPEAKER_16
transcript.pyannote[22].start 1692.57659375
transcript.pyannote[22].end 1694.65221875
transcript.pyannote[23].speaker SPEAKER_16
transcript.pyannote[23].start 1694.92221875
transcript.pyannote[23].end 1695.95159375
transcript.pyannote[24].speaker SPEAKER_16
transcript.pyannote[24].start 1696.20471875
transcript.pyannote[24].end 1697.80784375
transcript.pyannote[25].speaker SPEAKER_16
transcript.pyannote[25].start 1698.11159375
transcript.pyannote[25].end 1701.99284375
transcript.pyannote[26].speaker SPEAKER_16
transcript.pyannote[26].start 1702.29659375
transcript.pyannote[26].end 1705.77284375
transcript.pyannote[27].speaker SPEAKER_16
transcript.pyannote[27].start 1706.07659375
transcript.pyannote[27].end 1711.69596875
transcript.pyannote[28].speaker SPEAKER_16
transcript.pyannote[28].start 1711.81409375
transcript.pyannote[28].end 1716.75846875
transcript.pyannote[29].speaker SPEAKER_16
transcript.pyannote[29].start 1717.24784375
transcript.pyannote[29].end 1721.33159375
transcript.pyannote[30].speaker SPEAKER_13
transcript.pyannote[30].start 1722.74909375
transcript.pyannote[30].end 1729.34721875
transcript.pyannote[31].speaker SPEAKER_13
transcript.pyannote[31].start 1730.19096875
transcript.pyannote[31].end 1730.86596875
transcript.pyannote[32].speaker SPEAKER_13
transcript.pyannote[32].start 1732.57034375
transcript.pyannote[32].end 1734.51096875
transcript.pyannote[33].speaker SPEAKER_13
transcript.pyannote[33].start 1735.10159375
transcript.pyannote[33].end 1738.74659375
transcript.pyannote[34].speaker SPEAKER_16
transcript.pyannote[34].start 1739.75909375
transcript.pyannote[34].end 1748.31471875
transcript.pyannote[35].speaker SPEAKER_16
transcript.pyannote[35].start 1748.63534375
transcript.pyannote[35].end 1754.20409375
transcript.pyannote[36].speaker SPEAKER_16
transcript.pyannote[36].start 1754.57534375
transcript.pyannote[36].end 1759.77284375
transcript.pyannote[37].speaker SPEAKER_16
transcript.pyannote[37].start 1760.04284375
transcript.pyannote[37].end 1762.87784375
transcript.pyannote[38].speaker SPEAKER_16
transcript.pyannote[38].start 1763.13096875
transcript.pyannote[38].end 1767.19784375
transcript.pyannote[39].speaker SPEAKER_13
transcript.pyannote[39].start 1770.16784375
transcript.pyannote[39].end 1778.18346875
transcript.pyannote[40].speaker SPEAKER_13
transcript.pyannote[40].start 1786.75596875
transcript.pyannote[40].end 1790.75534375
transcript.pyannote[41].speaker SPEAKER_13
transcript.pyannote[41].start 1793.55659375
transcript.pyannote[41].end 1796.20596875
transcript.pyannote[42].speaker SPEAKER_13
transcript.pyannote[42].start 1798.18034375
transcript.pyannote[42].end 1801.40346875
transcript.pyannote[43].speaker SPEAKER_13
transcript.pyannote[43].start 1803.05721875
transcript.pyannote[43].end 1803.36096875
transcript.pyannote[44].speaker SPEAKER_13
transcript.pyannote[44].start 1805.01471875
transcript.pyannote[44].end 1810.16159375
transcript.pyannote[45].speaker SPEAKER_13
transcript.pyannote[45].start 1811.27534375
transcript.pyannote[45].end 1816.81034375
transcript.pyannote[46].speaker SPEAKER_13
transcript.pyannote[46].start 1819.74659375
transcript.pyannote[46].end 1822.59846875
transcript.pyannote[47].speaker SPEAKER_13
transcript.pyannote[47].start 1822.85159375
transcript.pyannote[47].end 1823.81346875
transcript.pyannote[48].speaker SPEAKER_13
transcript.pyannote[48].start 1826.04096875
transcript.pyannote[48].end 1826.81721875
transcript.pyannote[49].speaker SPEAKER_13
transcript.pyannote[49].start 1827.88034375
transcript.pyannote[49].end 1832.01471875
transcript.pyannote[50].speaker SPEAKER_13
transcript.pyannote[50].start 1834.24221875
transcript.pyannote[50].end 1836.14909375
transcript.pyannote[51].speaker SPEAKER_13
transcript.pyannote[51].start 1836.68909375
transcript.pyannote[51].end 1837.97159375
transcript.pyannote[52].speaker SPEAKER_13
transcript.pyannote[52].start 1839.06846875
transcript.pyannote[52].end 1842.73034375
transcript.pyannote[53].speaker SPEAKER_13
transcript.pyannote[53].start 1844.68784375
transcript.pyannote[53].end 1848.78846875
transcript.pyannote[54].speaker SPEAKER_13
transcript.pyannote[54].start 1850.76284375
transcript.pyannote[54].end 1853.98596875
transcript.pyannote[55].speaker SPEAKER_13
transcript.pyannote[55].start 1856.75346875
transcript.pyannote[55].end 1861.79909375
transcript.pyannote[56].speaker SPEAKER_13
transcript.pyannote[56].start 1863.67221875
transcript.pyannote[56].end 1866.00096875
transcript.pyannote[57].speaker SPEAKER_13
transcript.pyannote[57].start 1867.16534375
transcript.pyannote[57].end 1869.34221875
transcript.pyannote[58].speaker SPEAKER_13
transcript.pyannote[58].start 1870.25346875
transcript.pyannote[58].end 1872.31221875
transcript.pyannote[59].speaker SPEAKER_13
transcript.pyannote[59].start 1872.80159375
transcript.pyannote[59].end 1874.48909375
transcript.pyannote[60].speaker SPEAKER_13
transcript.pyannote[60].start 1885.79534375
transcript.pyannote[60].end 1886.85846875
transcript.pyannote[61].speaker SPEAKER_13
transcript.pyannote[61].start 1888.09034375
transcript.pyannote[61].end 1892.68034375
transcript.pyannote[62].speaker SPEAKER_13
transcript.pyannote[62].start 1893.10221875
transcript.pyannote[62].end 1896.83159375
transcript.pyannote[63].speaker SPEAKER_13
transcript.pyannote[63].start 1897.55721875
transcript.pyannote[63].end 1902.78846875
transcript.pyannote[64].speaker SPEAKER_13
transcript.pyannote[64].start 1903.26096875
transcript.pyannote[64].end 1907.98596875
transcript.pyannote[65].speaker SPEAKER_13
transcript.pyannote[65].start 1909.47096875
transcript.pyannote[65].end 1912.03596875
transcript.pyannote[66].speaker SPEAKER_13
transcript.pyannote[66].start 1912.27221875
transcript.pyannote[66].end 1915.34346875
transcript.pyannote[67].speaker SPEAKER_13
transcript.pyannote[67].start 1915.69784375
transcript.pyannote[67].end 1918.53284375
transcript.pyannote[68].speaker SPEAKER_13
transcript.pyannote[68].start 1918.81971875
transcript.pyannote[68].end 1921.08096875
transcript.pyannote[69].speaker SPEAKER_13
transcript.pyannote[69].start 1921.73909375
transcript.pyannote[69].end 1926.22784375
transcript.pyannote[70].speaker SPEAKER_13
transcript.pyannote[70].start 1926.66659375
transcript.pyannote[70].end 1927.40909375
transcript.pyannote[71].speaker SPEAKER_13
transcript.pyannote[71].start 1927.56096875
transcript.pyannote[71].end 1930.71659375
transcript.pyannote[72].speaker SPEAKER_13
transcript.pyannote[72].start 1931.07096875
transcript.pyannote[72].end 1934.64846875
transcript.pyannote[73].speaker SPEAKER_13
transcript.pyannote[73].start 1935.18846875
transcript.pyannote[73].end 1940.03159375
transcript.pyannote[74].speaker SPEAKER_13
transcript.pyannote[74].start 1940.41971875
transcript.pyannote[74].end 1943.45721875
transcript.pyannote[75].speaker SPEAKER_13
transcript.pyannote[75].start 1943.65971875
transcript.pyannote[75].end 1946.73096875
transcript.pyannote[76].speaker SPEAKER_13
transcript.pyannote[76].start 1947.08534375
transcript.pyannote[76].end 1949.43096875
transcript.pyannote[77].speaker SPEAKER_13
transcript.pyannote[77].start 1949.71784375
transcript.pyannote[77].end 1957.34534375
transcript.pyannote[78].speaker SPEAKER_13
transcript.pyannote[78].start 1960.50096875
transcript.pyannote[78].end 1967.94284375
transcript.pyannote[79].speaker SPEAKER_13
transcript.pyannote[79].start 1968.95534375
transcript.pyannote[79].end 1976.09346875
transcript.pyannote[80].speaker SPEAKER_13
transcript.pyannote[80].start 1976.63346875
transcript.pyannote[80].end 1979.16471875
transcript.pyannote[81].speaker SPEAKER_13
transcript.pyannote[81].start 1979.62034375
transcript.pyannote[81].end 1984.96971875
transcript.pyannote[82].speaker SPEAKER_13
transcript.pyannote[82].start 1985.34096875
transcript.pyannote[82].end 1987.07909375
transcript.pyannote[83].speaker SPEAKER_13
transcript.pyannote[83].start 1987.78784375
transcript.pyannote[83].end 1997.81159375
transcript.pyannote[84].speaker SPEAKER_13
transcript.pyannote[84].start 1998.14909375
transcript.pyannote[84].end 2001.74346875
transcript.pyannote[85].speaker SPEAKER_13
transcript.pyannote[85].start 2002.43534375
transcript.pyannote[85].end 2007.29534375
transcript.pyannote[86].speaker SPEAKER_13
transcript.pyannote[86].start 2007.37971875
transcript.pyannote[86].end 2008.30784375
transcript.pyannote[87].speaker SPEAKER_13
transcript.pyannote[87].start 2009.33721875
transcript.pyannote[87].end 2015.34471875
transcript.pyannote[88].speaker SPEAKER_13
transcript.pyannote[88].start 2015.95221875
transcript.pyannote[88].end 2016.96471875
transcript.pyannote[89].speaker SPEAKER_13
transcript.pyannote[89].start 2017.20096875
transcript.pyannote[89].end 2019.32721875
transcript.pyannote[90].speaker SPEAKER_13
transcript.pyannote[90].start 2019.98534375
transcript.pyannote[90].end 2022.41534375
transcript.pyannote[91].speaker SPEAKER_13
transcript.pyannote[91].start 2023.05659375
transcript.pyannote[91].end 2024.42346875
transcript.pyannote[92].speaker SPEAKER_13
transcript.pyannote[92].start 2024.98034375
transcript.pyannote[92].end 2031.25784375
transcript.pyannote[93].speaker SPEAKER_13
transcript.pyannote[93].start 2031.74721875
transcript.pyannote[93].end 2037.97409375
transcript.pyannote[94].speaker SPEAKER_13
transcript.pyannote[94].start 2038.76721875
transcript.pyannote[94].end 2042.95221875
transcript.pyannote[95].speaker SPEAKER_13
transcript.pyannote[95].start 2043.08721875
transcript.pyannote[95].end 2044.72409375
transcript.pyannote[96].speaker SPEAKER_13
transcript.pyannote[96].start 2045.29784375
transcript.pyannote[96].end 2045.77034375
transcript.pyannote[97].speaker SPEAKER_13
transcript.pyannote[97].start 2046.29346875
transcript.pyannote[97].end 2050.54596875
transcript.pyannote[98].speaker SPEAKER_13
transcript.pyannote[98].start 2051.40659375
transcript.pyannote[98].end 2056.48596875
transcript.pyannote[99].speaker SPEAKER_12
transcript.pyannote[99].start 2065.36221875
transcript.pyannote[99].end 2067.16784375
transcript.pyannote[100].speaker SPEAKER_12
transcript.pyannote[100].start 2067.52221875
transcript.pyannote[100].end 2069.63159375
transcript.pyannote[101].speaker SPEAKER_12
transcript.pyannote[101].start 2069.95221875
transcript.pyannote[101].end 2070.72846875
transcript.pyannote[102].speaker SPEAKER_12
transcript.pyannote[102].start 2070.77909375
transcript.pyannote[102].end 2072.29784375
transcript.pyannote[103].speaker SPEAKER_12
transcript.pyannote[103].start 2073.04034375
transcript.pyannote[103].end 2074.66034375
transcript.pyannote[104].speaker SPEAKER_12
transcript.pyannote[104].start 2074.91346875
transcript.pyannote[104].end 2079.65534375
transcript.pyannote[105].speaker SPEAKER_12
transcript.pyannote[105].start 2079.94221875
transcript.pyannote[105].end 2080.51596875
transcript.pyannote[106].speaker SPEAKER_12
transcript.pyannote[106].start 2081.12346875
transcript.pyannote[106].end 2083.03034375
transcript.pyannote[107].speaker SPEAKER_12
transcript.pyannote[107].start 2083.62096875
transcript.pyannote[107].end 2084.11034375
transcript.pyannote[108].speaker SPEAKER_12
transcript.pyannote[108].start 2084.41409375
transcript.pyannote[108].end 2092.56471875
transcript.pyannote[109].speaker SPEAKER_12
transcript.pyannote[109].start 2093.44221875
transcript.pyannote[109].end 2096.76659375
transcript.pyannote[110].speaker SPEAKER_12
transcript.pyannote[110].start 2097.67784375
transcript.pyannote[110].end 2098.25159375
transcript.pyannote[111].speaker SPEAKER_12
transcript.pyannote[111].start 2098.77471875
transcript.pyannote[111].end 2099.95596875
transcript.pyannote[112].speaker SPEAKER_12
transcript.pyannote[112].start 2100.93471875
transcript.pyannote[112].end 2103.44909375
transcript.pyannote[113].speaker SPEAKER_12
transcript.pyannote[113].start 2103.56721875
transcript.pyannote[113].end 2104.76534375
transcript.pyannote[114].speaker SPEAKER_12
transcript.pyannote[114].start 2105.47409375
transcript.pyannote[114].end 2107.19534375
transcript.pyannote[115].speaker SPEAKER_12
transcript.pyannote[115].start 2108.64659375
transcript.pyannote[115].end 2109.82784375
transcript.pyannote[116].speaker SPEAKER_12
transcript.pyannote[116].start 2110.36784375
transcript.pyannote[116].end 2113.05096875
transcript.pyannote[117].speaker SPEAKER_12
transcript.pyannote[117].start 2113.38846875
transcript.pyannote[117].end 2116.03784375
transcript.pyannote[118].speaker SPEAKER_12
transcript.pyannote[118].start 2116.79721875
transcript.pyannote[118].end 2117.67471875
transcript.pyannote[119].speaker SPEAKER_12
transcript.pyannote[119].start 2117.87721875
transcript.pyannote[119].end 2119.76721875
transcript.pyannote[120].speaker SPEAKER_12
transcript.pyannote[120].start 2120.76284375
transcript.pyannote[120].end 2126.29784375
transcript.pyannote[121].speaker SPEAKER_12
transcript.pyannote[121].start 2126.77034375
transcript.pyannote[121].end 2128.91346875
transcript.pyannote[122].speaker SPEAKER_12
transcript.pyannote[122].start 2128.96409375
transcript.pyannote[122].end 2129.97659375
transcript.pyannote[123].speaker SPEAKER_12
transcript.pyannote[123].start 2130.85409375
transcript.pyannote[123].end 2131.81596875
transcript.pyannote[124].speaker SPEAKER_12
transcript.pyannote[124].start 2131.98471875
transcript.pyannote[124].end 2133.79034375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 2132.77784375
transcript.pyannote[125].end 2133.08159375
transcript.pyannote[126].speaker SPEAKER_12
transcript.pyannote[126].start 2134.04346875
transcript.pyannote[126].end 2135.19096875
transcript.pyannote[127].speaker SPEAKER_12
transcript.pyannote[127].start 2135.71409375
transcript.pyannote[127].end 2141.77221875
transcript.pyannote[128].speaker SPEAKER_12
transcript.pyannote[128].start 2142.00846875
transcript.pyannote[128].end 2142.95346875
transcript.pyannote[129].speaker SPEAKER_12
transcript.pyannote[129].start 2144.11784375
transcript.pyannote[129].end 2145.72096875
transcript.pyannote[130].speaker SPEAKER_12
transcript.pyannote[130].start 2146.46346875
transcript.pyannote[130].end 2147.81346875
transcript.pyannote[131].speaker SPEAKER_12
transcript.pyannote[131].start 2147.98221875
transcript.pyannote[131].end 2150.00721875
transcript.pyannote[132].speaker SPEAKER_12
transcript.pyannote[132].start 2150.46284375
transcript.pyannote[132].end 2151.77909375
transcript.pyannote[133].speaker SPEAKER_12
transcript.pyannote[133].start 2153.29784375
transcript.pyannote[133].end 2155.05284375
transcript.pyannote[134].speaker SPEAKER_12
transcript.pyannote[134].start 2155.60971875
transcript.pyannote[134].end 2157.36471875
transcript.pyannote[135].speaker SPEAKER_12
transcript.pyannote[135].start 2158.02284375
transcript.pyannote[135].end 2160.40221875
transcript.pyannote[136].speaker SPEAKER_12
transcript.pyannote[136].start 2160.70596875
transcript.pyannote[136].end 2161.70159375
transcript.pyannote[137].speaker SPEAKER_12
transcript.pyannote[137].start 2163.50721875
transcript.pyannote[137].end 2166.12284375
transcript.pyannote[138].speaker SPEAKER_12
transcript.pyannote[138].start 2166.52784375
transcript.pyannote[138].end 2168.09721875
transcript.pyannote[139].speaker SPEAKER_12
transcript.pyannote[139].start 2168.36721875
transcript.pyannote[139].end 2168.95784375
transcript.pyannote[140].speaker SPEAKER_12
transcript.pyannote[140].start 2169.59909375
transcript.pyannote[140].end 2171.59034375
transcript.pyannote[141].speaker SPEAKER_12
transcript.pyannote[141].start 2172.16409375
transcript.pyannote[141].end 2174.56034375
transcript.pyannote[142].speaker SPEAKER_12
transcript.pyannote[142].start 2176.87221875
transcript.pyannote[142].end 2181.15846875
transcript.pyannote[143].speaker SPEAKER_12
transcript.pyannote[143].start 2181.90096875
transcript.pyannote[143].end 2185.20846875
transcript.pyannote[144].speaker SPEAKER_12
transcript.pyannote[144].start 2185.51221875
transcript.pyannote[144].end 2186.71034375
transcript.pyannote[145].speaker SPEAKER_12
transcript.pyannote[145].start 2187.04784375
transcript.pyannote[145].end 2187.67221875
transcript.pyannote[146].speaker SPEAKER_12
transcript.pyannote[146].start 2188.00971875
transcript.pyannote[146].end 2191.80659375
transcript.pyannote[147].speaker SPEAKER_12
transcript.pyannote[147].start 2193.07221875
transcript.pyannote[147].end 2194.35471875
transcript.pyannote[148].speaker SPEAKER_12
transcript.pyannote[148].start 2195.02971875
transcript.pyannote[148].end 2198.75909375
transcript.pyannote[149].speaker SPEAKER_12
transcript.pyannote[149].start 2198.92784375
transcript.pyannote[149].end 2202.52221875
transcript.pyannote[150].speaker SPEAKER_12
transcript.pyannote[150].start 2203.23096875
transcript.pyannote[150].end 2204.63159375
transcript.pyannote[151].speaker SPEAKER_12
transcript.pyannote[151].start 2205.22221875
transcript.pyannote[151].end 2209.13721875
transcript.pyannote[152].speaker SPEAKER_12
transcript.pyannote[152].start 2210.14971875
transcript.pyannote[152].end 2211.55034375
transcript.pyannote[153].speaker SPEAKER_12
transcript.pyannote[153].start 2211.95534375
transcript.pyannote[153].end 2217.03471875
transcript.pyannote[154].speaker SPEAKER_12
transcript.pyannote[154].start 2217.50721875
transcript.pyannote[154].end 2219.76846875
transcript.pyannote[155].speaker SPEAKER_12
transcript.pyannote[155].start 2220.46034375
transcript.pyannote[155].end 2223.16034375
transcript.pyannote[156].speaker SPEAKER_12
transcript.pyannote[156].start 2223.68346875
transcript.pyannote[156].end 2239.69784375
transcript.pyannote[157].speaker SPEAKER_12
transcript.pyannote[157].start 2240.81159375
transcript.pyannote[157].end 2241.28409375
transcript.pyannote[158].speaker SPEAKER_12
transcript.pyannote[158].start 2242.14471875
transcript.pyannote[158].end 2247.56159375
transcript.pyannote[159].speaker SPEAKER_12
transcript.pyannote[159].start 2249.43471875
transcript.pyannote[159].end 2254.27784375
transcript.pyannote[160].speaker SPEAKER_12
transcript.pyannote[160].start 2254.71659375
transcript.pyannote[160].end 2257.28159375
transcript.pyannote[161].speaker SPEAKER_12
transcript.pyannote[161].start 2257.58534375
transcript.pyannote[161].end 2258.05784375
transcript.pyannote[162].speaker SPEAKER_12
transcript.pyannote[162].start 2258.88471875
transcript.pyannote[162].end 2261.48346875
transcript.pyannote[163].speaker SPEAKER_12
transcript.pyannote[163].start 2262.00659375
transcript.pyannote[163].end 2265.49971875
transcript.pyannote[164].speaker SPEAKER_12
transcript.pyannote[164].start 2266.57971875
transcript.pyannote[164].end 2273.44784375
transcript.pyannote[165].speaker SPEAKER_12
transcript.pyannote[165].start 2274.10596875
transcript.pyannote[165].end 2275.32096875
transcript.pyannote[166].speaker SPEAKER_12
transcript.pyannote[166].start 2275.65846875
transcript.pyannote[166].end 2279.97846875
transcript.pyannote[167].speaker SPEAKER_12
transcript.pyannote[167].start 2280.28221875
transcript.pyannote[167].end 2281.10909375
transcript.pyannote[168].speaker SPEAKER_12
transcript.pyannote[168].start 2281.75034375
transcript.pyannote[168].end 2286.98159375
transcript.pyannote[169].speaker SPEAKER_12
transcript.pyannote[169].start 2287.67346875
transcript.pyannote[169].end 2291.67284375
transcript.pyannote[170].speaker SPEAKER_12
transcript.pyannote[170].start 2292.22971875
transcript.pyannote[170].end 2295.33471875
transcript.pyannote[171].speaker SPEAKER_12
transcript.pyannote[171].start 2297.15721875
transcript.pyannote[171].end 2302.35471875
transcript.pyannote[172].speaker SPEAKER_12
transcript.pyannote[172].start 2303.28284375
transcript.pyannote[172].end 2304.09284375
transcript.pyannote[173].speaker SPEAKER_12
transcript.pyannote[173].start 2304.16034375
transcript.pyannote[173].end 2305.98284375
transcript.pyannote[174].speaker SPEAKER_12
transcript.pyannote[174].start 2306.47221875
transcript.pyannote[174].end 2307.78846875
transcript.pyannote[175].speaker SPEAKER_12
transcript.pyannote[175].start 2308.44659375
transcript.pyannote[175].end 2309.96534375
transcript.pyannote[176].speaker SPEAKER_12
transcript.pyannote[176].start 2310.47159375
transcript.pyannote[176].end 2311.61909375
transcript.pyannote[177].speaker SPEAKER_12
transcript.pyannote[177].start 2311.82159375
transcript.pyannote[177].end 2312.98596875
transcript.pyannote[178].speaker SPEAKER_12
transcript.pyannote[178].start 2313.59346875
transcript.pyannote[178].end 2317.45784375
transcript.pyannote[179].speaker SPEAKER_12
transcript.pyannote[179].start 2317.87971875
transcript.pyannote[179].end 2319.63471875
transcript.pyannote[180].speaker SPEAKER_12
transcript.pyannote[180].start 2320.09034375
transcript.pyannote[180].end 2321.25471875
transcript.pyannote[181].speaker SPEAKER_12
transcript.pyannote[181].start 2321.81159375
transcript.pyannote[181].end 2322.70596875
transcript.pyannote[182].speaker SPEAKER_12
transcript.pyannote[182].start 2323.27971875
transcript.pyannote[182].end 2325.38909375
transcript.pyannote[183].speaker SPEAKER_12
transcript.pyannote[183].start 2326.97534375
transcript.pyannote[183].end 2334.09659375
transcript.pyannote[184].speaker SPEAKER_12
transcript.pyannote[184].start 2334.60284375
transcript.pyannote[184].end 2335.07534375
transcript.pyannote[185].speaker SPEAKER_12
transcript.pyannote[185].start 2335.46346875
transcript.pyannote[185].end 2336.07096875
transcript.pyannote[186].speaker SPEAKER_12
transcript.pyannote[186].start 2336.59409375
transcript.pyannote[186].end 2337.38721875
transcript.pyannote[187].speaker SPEAKER_12
transcript.pyannote[187].start 2337.74159375
transcript.pyannote[187].end 2339.47971875
transcript.pyannote[188].speaker SPEAKER_12
transcript.pyannote[188].start 2339.59784375
transcript.pyannote[188].end 2340.54284375
transcript.pyannote[189].speaker SPEAKER_12
transcript.pyannote[189].start 2341.35284375
transcript.pyannote[189].end 2345.16659375
transcript.pyannote[190].speaker SPEAKER_12
transcript.pyannote[190].start 2345.57159375
transcript.pyannote[190].end 2347.42784375
transcript.pyannote[191].speaker SPEAKER_12
transcript.pyannote[191].start 2348.20409375
transcript.pyannote[191].end 2348.82846875
transcript.pyannote[192].speaker SPEAKER_12
transcript.pyannote[192].start 2349.57096875
transcript.pyannote[192].end 2349.90846875
transcript.pyannote[193].speaker SPEAKER_12
transcript.pyannote[193].start 2350.27971875
transcript.pyannote[193].end 2350.70159375
transcript.pyannote[194].speaker SPEAKER_12
transcript.pyannote[194].start 2351.22471875
transcript.pyannote[194].end 2352.05159375
transcript.pyannote[195].speaker SPEAKER_12
transcript.pyannote[195].start 2353.57034375
transcript.pyannote[195].end 2355.57846875
transcript.pyannote[196].speaker SPEAKER_12
transcript.pyannote[196].start 2356.82721875
transcript.pyannote[196].end 2358.86909375
transcript.pyannote[197].speaker SPEAKER_12
transcript.pyannote[197].start 2359.86471875
transcript.pyannote[197].end 2361.43409375
transcript.pyannote[198].speaker SPEAKER_12
transcript.pyannote[198].start 2361.67034375
transcript.pyannote[198].end 2362.21034375
transcript.pyannote[199].speaker SPEAKER_12
transcript.pyannote[199].start 2362.44659375
transcript.pyannote[199].end 2363.44221875
transcript.pyannote[200].speaker SPEAKER_12
transcript.pyannote[200].start 2364.13409375
transcript.pyannote[200].end 2366.00721875
transcript.pyannote[201].speaker SPEAKER_12
transcript.pyannote[201].start 2366.86784375
transcript.pyannote[201].end 2367.34034375
transcript.pyannote[202].speaker SPEAKER_12
transcript.pyannote[202].start 2367.89721875
transcript.pyannote[202].end 2368.60596875
transcript.pyannote[203].speaker SPEAKER_12
transcript.pyannote[203].start 2369.17971875
transcript.pyannote[203].end 2369.87159375
transcript.pyannote[204].speaker SPEAKER_12
transcript.pyannote[204].start 2370.32721875
transcript.pyannote[204].end 2371.37346875
transcript.pyannote[205].speaker SPEAKER_12
transcript.pyannote[205].start 2371.79534375
transcript.pyannote[205].end 2373.38159375
transcript.pyannote[206].speaker SPEAKER_12
transcript.pyannote[206].start 2374.68096875
transcript.pyannote[206].end 2377.70159375
transcript.pyannote[207].speaker SPEAKER_12
transcript.pyannote[207].start 2377.87034375
transcript.pyannote[207].end 2380.06409375
transcript.pyannote[208].speaker SPEAKER_12
transcript.pyannote[208].start 2380.23284375
transcript.pyannote[208].end 2382.42659375
transcript.pyannote[209].speaker SPEAKER_12
transcript.pyannote[209].start 2383.54034375
transcript.pyannote[209].end 2388.63659375
transcript.pyannote[210].speaker SPEAKER_12
transcript.pyannote[210].start 2389.26096875
transcript.pyannote[210].end 2395.82534375
transcript.pyannote[211].speaker SPEAKER_12
transcript.pyannote[211].start 2396.28096875
transcript.pyannote[211].end 2398.82909375
transcript.pyannote[212].speaker SPEAKER_12
transcript.pyannote[212].start 2400.21284375
transcript.pyannote[212].end 2401.56284375
transcript.pyannote[213].speaker SPEAKER_12
transcript.pyannote[213].start 2402.40659375
transcript.pyannote[213].end 2402.81159375
transcript.pyannote[214].speaker SPEAKER_12
transcript.pyannote[214].start 2403.30096875
transcript.pyannote[214].end 2404.70159375
transcript.pyannote[215].speaker SPEAKER_12
transcript.pyannote[215].start 2405.08971875
transcript.pyannote[215].end 2406.40596875
transcript.pyannote[216].speaker SPEAKER_12
transcript.pyannote[216].start 2407.58721875
transcript.pyannote[216].end 2409.62909375
transcript.pyannote[217].speaker SPEAKER_12
transcript.pyannote[217].start 2410.05096875
transcript.pyannote[217].end 2411.14784375
transcript.pyannote[218].speaker SPEAKER_12
transcript.pyannote[218].start 2412.24471875
transcript.pyannote[218].end 2413.83096875
transcript.pyannote[219].speaker SPEAKER_12
transcript.pyannote[219].start 2414.55659375
transcript.pyannote[219].end 2417.05409375
transcript.pyannote[220].speaker SPEAKER_12
transcript.pyannote[220].start 2417.76284375
transcript.pyannote[220].end 2420.73284375
transcript.pyannote[221].speaker SPEAKER_12
transcript.pyannote[221].start 2421.18846875
transcript.pyannote[221].end 2423.21346875
transcript.pyannote[222].speaker SPEAKER_12
transcript.pyannote[222].start 2423.93909375
transcript.pyannote[222].end 2424.71534375
transcript.pyannote[223].speaker SPEAKER_12
transcript.pyannote[223].start 2425.28909375
transcript.pyannote[223].end 2426.13284375
transcript.pyannote[224].speaker SPEAKER_12
transcript.pyannote[224].start 2426.57159375
transcript.pyannote[224].end 2427.09471875
transcript.pyannote[225].speaker SPEAKER_12
transcript.pyannote[225].start 2428.00596875
transcript.pyannote[225].end 2430.46971875
transcript.pyannote[226].speaker SPEAKER_12
transcript.pyannote[226].start 2430.95909375
transcript.pyannote[226].end 2431.76909375
transcript.pyannote[227].speaker SPEAKER_12
transcript.pyannote[227].start 2432.25846875
transcript.pyannote[227].end 2432.86596875
transcript.pyannote[228].speaker SPEAKER_12
transcript.pyannote[228].start 2433.89534375
transcript.pyannote[228].end 2437.32096875
transcript.pyannote[229].speaker SPEAKER_12
transcript.pyannote[229].start 2438.13096875
transcript.pyannote[229].end 2438.87346875
transcript.pyannote[230].speaker SPEAKER_12
transcript.pyannote[230].start 2439.64971875
transcript.pyannote[230].end 2442.41721875
transcript.pyannote[231].speaker SPEAKER_12
transcript.pyannote[231].start 2442.87284375
transcript.pyannote[231].end 2445.53909375
transcript.pyannote[232].speaker SPEAKER_12
transcript.pyannote[232].start 2445.92721875
transcript.pyannote[232].end 2447.14221875
transcript.pyannote[233].speaker SPEAKER_12
transcript.pyannote[233].start 2447.76659375
transcript.pyannote[233].end 2450.58471875
transcript.pyannote[234].speaker SPEAKER_12
transcript.pyannote[234].start 2450.97284375
transcript.pyannote[234].end 2452.49159375
transcript.pyannote[235].speaker SPEAKER_12
transcript.pyannote[235].start 2454.65159375
transcript.pyannote[235].end 2456.32221875
transcript.pyannote[236].speaker SPEAKER_12
transcript.pyannote[236].start 2457.21659375
transcript.pyannote[236].end 2460.69284375
transcript.pyannote[237].speaker SPEAKER_12
transcript.pyannote[237].start 2461.48596875
transcript.pyannote[237].end 2462.21159375
transcript.pyannote[238].speaker SPEAKER_12
transcript.pyannote[238].start 2462.78534375
transcript.pyannote[238].end 2464.13534375
transcript.pyannote[239].speaker SPEAKER_12
transcript.pyannote[239].start 2464.64159375
transcript.pyannote[239].end 2466.80159375
transcript.pyannote[240].speaker SPEAKER_12
transcript.pyannote[240].start 2467.29096875
transcript.pyannote[240].end 2468.11784375
transcript.pyannote[241].speaker SPEAKER_12
transcript.pyannote[241].start 2469.06284375
transcript.pyannote[241].end 2472.65721875
transcript.pyannote[242].speaker SPEAKER_12
transcript.pyannote[242].start 2473.29846875
transcript.pyannote[242].end 2480.16659375
transcript.pyannote[243].speaker SPEAKER_12
transcript.pyannote[243].start 2480.57159375
transcript.pyannote[243].end 2481.17909375
transcript.pyannote[244].speaker SPEAKER_12
transcript.pyannote[244].start 2482.44471875
transcript.pyannote[244].end 2484.99284375
transcript.pyannote[245].speaker SPEAKER_12
transcript.pyannote[245].start 2485.66784375
transcript.pyannote[245].end 2486.37659375
transcript.pyannote[246].speaker SPEAKER_12
transcript.pyannote[246].start 2487.55784375
transcript.pyannote[246].end 2489.98784375
transcript.pyannote[247].speaker SPEAKER_12
transcript.pyannote[247].start 2490.22409375
transcript.pyannote[247].end 2492.75534375
transcript.pyannote[248].speaker SPEAKER_12
transcript.pyannote[248].start 2493.10971875
transcript.pyannote[248].end 2494.35846875
transcript.pyannote[249].speaker SPEAKER_12
transcript.pyannote[249].start 2495.33721875
transcript.pyannote[249].end 2501.17596875
transcript.pyannote[250].speaker SPEAKER_12
transcript.pyannote[250].start 2501.47971875
transcript.pyannote[250].end 2502.32346875
transcript.pyannote[251].speaker SPEAKER_12
transcript.pyannote[251].start 2502.86346875
transcript.pyannote[251].end 2504.77034375
transcript.pyannote[252].speaker SPEAKER_12
transcript.pyannote[252].start 2504.97284375
transcript.pyannote[252].end 2507.03159375
transcript.pyannote[253].speaker SPEAKER_12
transcript.pyannote[253].start 2507.04846875
transcript.pyannote[253].end 2507.89221875
transcript.pyannote[254].speaker SPEAKER_12
transcript.pyannote[254].start 2508.22971875
transcript.pyannote[254].end 2509.25909375
transcript.pyannote[255].speaker SPEAKER_12
transcript.pyannote[255].start 2509.61346875
transcript.pyannote[255].end 2510.60909375
transcript.pyannote[256].speaker SPEAKER_12
transcript.pyannote[256].start 2511.23346875
transcript.pyannote[256].end 2512.09409375
transcript.pyannote[257].speaker SPEAKER_12
transcript.pyannote[257].start 2514.06846875
transcript.pyannote[257].end 2515.19909375
transcript.pyannote[258].speaker SPEAKER_12
transcript.pyannote[258].start 2515.77284375
transcript.pyannote[258].end 2522.43846875
transcript.pyannote[259].speaker SPEAKER_12
transcript.pyannote[259].start 2522.99534375
transcript.pyannote[259].end 2523.78846875
transcript.pyannote[260].speaker SPEAKER_12
transcript.pyannote[260].start 2524.46346875
transcript.pyannote[260].end 2525.27346875
transcript.pyannote[261].speaker SPEAKER_12
transcript.pyannote[261].start 2525.62784375
transcript.pyannote[261].end 2526.65721875
transcript.pyannote[262].speaker SPEAKER_12
transcript.pyannote[262].start 2527.29846875
transcript.pyannote[262].end 2527.99034375
transcript.pyannote[263].speaker SPEAKER_12
transcript.pyannote[263].start 2528.20971875
transcript.pyannote[263].end 2531.01096875
transcript.pyannote[264].speaker SPEAKER_12
transcript.pyannote[264].start 2531.83784375
transcript.pyannote[264].end 2533.03596875
transcript.pyannote[265].speaker SPEAKER_12
transcript.pyannote[265].start 2533.74471875
transcript.pyannote[265].end 2534.87534375
transcript.pyannote[266].speaker SPEAKER_12
transcript.pyannote[266].start 2535.31409375
transcript.pyannote[266].end 2538.11534375
transcript.pyannote[267].speaker SPEAKER_12
transcript.pyannote[267].start 2538.52034375
transcript.pyannote[267].end 2541.00096875
transcript.pyannote[268].speaker SPEAKER_12
transcript.pyannote[268].start 2541.50721875
transcript.pyannote[268].end 2543.07659375
transcript.pyannote[269].speaker SPEAKER_12
transcript.pyannote[269].start 2544.12284375
transcript.pyannote[269].end 2544.78096875
transcript.pyannote[270].speaker SPEAKER_12
transcript.pyannote[270].start 2545.72596875
transcript.pyannote[270].end 2547.31221875
transcript.pyannote[271].speaker SPEAKER_12
transcript.pyannote[271].start 2547.39659375
transcript.pyannote[271].end 2550.26534375
transcript.pyannote[272].speaker SPEAKER_12
transcript.pyannote[272].start 2551.10909375
transcript.pyannote[272].end 2556.07034375
transcript.pyannote[273].speaker SPEAKER_12
transcript.pyannote[273].start 2556.84659375
transcript.pyannote[273].end 2560.18784375
transcript.pyannote[274].speaker SPEAKER_12
transcript.pyannote[274].start 2561.06534375
transcript.pyannote[274].end 2563.93409375
transcript.pyannote[275].speaker SPEAKER_12
transcript.pyannote[275].start 2565.58784375
transcript.pyannote[275].end 2567.66346875
transcript.pyannote[276].speaker SPEAKER_12
transcript.pyannote[276].start 2568.30471875
transcript.pyannote[276].end 2568.92909375
transcript.pyannote[277].speaker SPEAKER_12
transcript.pyannote[277].start 2569.63784375
transcript.pyannote[277].end 2570.12721875
transcript.pyannote[278].speaker SPEAKER_12
transcript.pyannote[278].start 2570.78534375
transcript.pyannote[278].end 2571.64596875
transcript.pyannote[279].speaker SPEAKER_12
transcript.pyannote[279].start 2573.65409375
transcript.pyannote[279].end 2574.16034375
transcript.pyannote[280].speaker SPEAKER_12
transcript.pyannote[280].start 2574.70034375
transcript.pyannote[280].end 2575.56096875
transcript.pyannote[281].speaker SPEAKER_12
transcript.pyannote[281].start 2576.40471875
transcript.pyannote[281].end 2577.48471875
transcript.pyannote[282].speaker SPEAKER_12
transcript.pyannote[282].start 2577.87284375
transcript.pyannote[282].end 2578.93596875
transcript.pyannote[283].speaker SPEAKER_12
transcript.pyannote[283].start 2579.44221875
transcript.pyannote[283].end 2580.21846875
transcript.pyannote[284].speaker SPEAKER_12
transcript.pyannote[284].start 2580.43784375
transcript.pyannote[284].end 2581.60221875
transcript.pyannote[285].speaker SPEAKER_12
transcript.pyannote[285].start 2582.27721875
transcript.pyannote[285].end 2583.93096875
transcript.pyannote[286].speaker SPEAKER_12
transcript.pyannote[286].start 2584.26846875
transcript.pyannote[286].end 2585.63534375
transcript.pyannote[287].speaker SPEAKER_12
transcript.pyannote[287].start 2585.97284375
transcript.pyannote[287].end 2587.37346875
transcript.pyannote[288].speaker SPEAKER_12
transcript.pyannote[288].start 2587.86284375
transcript.pyannote[288].end 2591.03534375
transcript.pyannote[289].speaker SPEAKER_12
transcript.pyannote[289].start 2591.59221875
transcript.pyannote[289].end 2592.36846875
transcript.pyannote[290].speaker SPEAKER_12
transcript.pyannote[290].start 2593.11096875
transcript.pyannote[290].end 2593.70159375
transcript.pyannote[291].speaker SPEAKER_12
transcript.pyannote[291].start 2594.69721875
transcript.pyannote[291].end 2595.37221875
transcript.pyannote[292].speaker SPEAKER_12
transcript.pyannote[292].start 2595.69284375
transcript.pyannote[292].end 2598.34221875
transcript.pyannote[293].speaker SPEAKER_12
transcript.pyannote[293].start 2598.71346875
transcript.pyannote[293].end 2599.37159375
transcript.pyannote[294].speaker SPEAKER_12
transcript.pyannote[294].start 2599.81034375
transcript.pyannote[294].end 2602.62846875
transcript.pyannote[295].speaker SPEAKER_12
transcript.pyannote[295].start 2603.50596875
transcript.pyannote[295].end 2605.41284375
transcript.pyannote[296].speaker SPEAKER_12
transcript.pyannote[296].start 2606.13846875
transcript.pyannote[296].end 2609.24346875
transcript.pyannote[297].speaker SPEAKER_12
transcript.pyannote[297].start 2609.90159375
transcript.pyannote[297].end 2611.03221875
transcript.pyannote[298].speaker SPEAKER_12
transcript.pyannote[298].start 2611.21784375
transcript.pyannote[298].end 2614.03596875
transcript.pyannote[299].speaker SPEAKER_12
transcript.pyannote[299].start 2614.74471875
transcript.pyannote[299].end 2615.26784375
transcript.pyannote[300].speaker SPEAKER_12
transcript.pyannote[300].start 2616.21284375
transcript.pyannote[300].end 2618.50784375
transcript.pyannote[301].speaker SPEAKER_12
transcript.pyannote[301].start 2619.26721875
transcript.pyannote[301].end 2620.00971875
transcript.pyannote[302].speaker SPEAKER_12
transcript.pyannote[302].start 2620.22909375
transcript.pyannote[302].end 2622.08534375
transcript.pyannote[303].speaker SPEAKER_12
transcript.pyannote[303].start 2622.52409375
transcript.pyannote[303].end 2623.99221875
transcript.pyannote[304].speaker SPEAKER_12
transcript.pyannote[304].start 2624.32971875
transcript.pyannote[304].end 2625.32534375
transcript.pyannote[305].speaker SPEAKER_13
transcript.pyannote[305].start 2630.01659375
transcript.pyannote[305].end 2637.15471875
transcript.pyannote[306].speaker SPEAKER_13
transcript.pyannote[306].start 2637.55971875
transcript.pyannote[306].end 2640.88409375
transcript.pyannote[307].speaker SPEAKER_13
transcript.pyannote[307].start 2641.10346875
transcript.pyannote[307].end 2645.49096875
transcript.pyannote[308].speaker SPEAKER_04
transcript.pyannote[308].start 2658.01221875
transcript.pyannote[308].end 2658.19784375
transcript.pyannote[309].speaker SPEAKER_04
transcript.pyannote[309].start 2659.29471875
transcript.pyannote[309].end 2660.23971875
transcript.pyannote[310].speaker SPEAKER_04
transcript.pyannote[310].start 2660.77971875
transcript.pyannote[310].end 2661.91034375
transcript.pyannote[311].speaker SPEAKER_04
transcript.pyannote[311].start 2662.36596875
transcript.pyannote[311].end 2663.85096875
transcript.pyannote[312].speaker SPEAKER_04
transcript.pyannote[312].start 2664.42471875
transcript.pyannote[312].end 2666.31471875
transcript.pyannote[313].speaker SPEAKER_04
transcript.pyannote[313].start 2666.75346875
transcript.pyannote[313].end 2667.44534375
transcript.pyannote[314].speaker SPEAKER_04
transcript.pyannote[314].start 2667.78284375
transcript.pyannote[314].end 2668.20471875
transcript.pyannote[315].speaker SPEAKER_04
transcript.pyannote[315].start 2670.58409375
transcript.pyannote[315].end 2671.46159375
transcript.pyannote[316].speaker SPEAKER_04
transcript.pyannote[316].start 2673.14909375
transcript.pyannote[316].end 2673.89159375
transcript.pyannote[317].speaker SPEAKER_04
transcript.pyannote[317].start 2674.29659375
transcript.pyannote[317].end 2675.03909375
transcript.pyannote[318].speaker SPEAKER_04
transcript.pyannote[318].start 2675.57909375
transcript.pyannote[318].end 2676.00096875
transcript.pyannote[319].speaker SPEAKER_04
transcript.pyannote[319].start 2676.55784375
transcript.pyannote[319].end 2679.10596875
transcript.pyannote[320].speaker SPEAKER_04
transcript.pyannote[320].start 2679.59534375
transcript.pyannote[320].end 2680.59096875
transcript.pyannote[321].speaker SPEAKER_04
transcript.pyannote[321].start 2680.81034375
transcript.pyannote[321].end 2681.73846875
transcript.pyannote[322].speaker SPEAKER_04
transcript.pyannote[322].start 2682.39659375
transcript.pyannote[322].end 2683.83096875
transcript.pyannote[323].speaker SPEAKER_04
transcript.pyannote[323].start 2684.13471875
transcript.pyannote[323].end 2685.58596875
transcript.pyannote[324].speaker SPEAKER_04
transcript.pyannote[324].start 2686.26096875
transcript.pyannote[324].end 2687.07096875
transcript.pyannote[325].speaker SPEAKER_04
transcript.pyannote[325].start 2687.72909375
transcript.pyannote[325].end 2692.13346875
transcript.pyannote[326].speaker SPEAKER_04
transcript.pyannote[326].start 2692.92659375
transcript.pyannote[326].end 2694.39471875
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 2693.04471875
transcript.pyannote[327].end 2693.28096875
transcript.pyannote[328].speaker SPEAKER_08
transcript.pyannote[328].start 2693.28096875
transcript.pyannote[328].end 2693.46659375
transcript.pyannote[329].speaker SPEAKER_00
transcript.pyannote[329].start 2693.46659375
transcript.pyannote[329].end 2693.50034375
transcript.pyannote[330].speaker SPEAKER_08
transcript.pyannote[330].start 2693.50034375
transcript.pyannote[330].end 2693.51721875
transcript.pyannote[331].speaker SPEAKER_00
transcript.pyannote[331].start 2693.51721875
transcript.pyannote[331].end 2693.53409375
transcript.pyannote[332].speaker SPEAKER_08
transcript.pyannote[332].start 2693.53409375
transcript.pyannote[332].end 2693.58471875
transcript.pyannote[333].speaker SPEAKER_00
transcript.pyannote[333].start 2693.58471875
transcript.pyannote[333].end 2693.65221875
transcript.pyannote[334].speaker SPEAKER_04
transcript.pyannote[334].start 2694.69846875
transcript.pyannote[334].end 2696.40284375
transcript.pyannote[335].speaker SPEAKER_04
transcript.pyannote[335].start 2696.43659375
transcript.pyannote[335].end 2696.50409375
transcript.pyannote[336].speaker SPEAKER_04
transcript.pyannote[336].start 2697.73596875
transcript.pyannote[336].end 2700.77346875
transcript.pyannote[337].speaker SPEAKER_04
transcript.pyannote[337].start 2701.14471875
transcript.pyannote[337].end 2701.73534375
transcript.pyannote[338].speaker SPEAKER_04
transcript.pyannote[338].start 2702.12346875
transcript.pyannote[338].end 2704.03034375
transcript.pyannote[339].speaker SPEAKER_04
transcript.pyannote[339].start 2705.51534375
transcript.pyannote[339].end 2707.50659375
transcript.pyannote[340].speaker SPEAKER_04
transcript.pyannote[340].start 2707.67534375
transcript.pyannote[340].end 2708.19846875
transcript.pyannote[341].speaker SPEAKER_04
transcript.pyannote[341].start 2708.72159375
transcript.pyannote[341].end 2711.92784375
transcript.pyannote[342].speaker SPEAKER_04
transcript.pyannote[342].start 2712.99096875
transcript.pyannote[342].end 2714.40846875
transcript.pyannote[343].speaker SPEAKER_04
transcript.pyannote[343].start 2714.88096875
transcript.pyannote[343].end 2715.45471875
transcript.pyannote[344].speaker SPEAKER_04
transcript.pyannote[344].start 2716.95659375
transcript.pyannote[344].end 2719.99409375
transcript.pyannote[345].speaker SPEAKER_04
transcript.pyannote[345].start 2721.15846875
transcript.pyannote[345].end 2722.60971875
transcript.pyannote[346].speaker SPEAKER_04
transcript.pyannote[346].start 2723.47034375
transcript.pyannote[346].end 2725.91721875
transcript.pyannote[347].speaker SPEAKER_04
transcript.pyannote[347].start 2727.21659375
transcript.pyannote[347].end 2730.96284375
transcript.pyannote[348].speaker SPEAKER_04
transcript.pyannote[348].start 2731.36784375
transcript.pyannote[348].end 2732.56596875
transcript.pyannote[349].speaker SPEAKER_04
transcript.pyannote[349].start 2734.00034375
transcript.pyannote[349].end 2734.60784375
transcript.pyannote[350].speaker SPEAKER_04
transcript.pyannote[350].start 2736.37971875
transcript.pyannote[350].end 2737.86471875
transcript.pyannote[351].speaker SPEAKER_04
transcript.pyannote[351].start 2738.55659375
transcript.pyannote[351].end 2739.28221875
transcript.pyannote[352].speaker SPEAKER_04
transcript.pyannote[352].start 2739.77159375
transcript.pyannote[352].end 2740.69971875
transcript.pyannote[353].speaker SPEAKER_04
transcript.pyannote[353].start 2741.35784375
transcript.pyannote[353].end 2741.88096875
transcript.pyannote[354].speaker SPEAKER_04
transcript.pyannote[354].start 2742.52221875
transcript.pyannote[354].end 2744.00721875
transcript.pyannote[355].speaker SPEAKER_04
transcript.pyannote[355].start 2745.44159375
transcript.pyannote[355].end 2746.16721875
transcript.pyannote[356].speaker SPEAKER_04
transcript.pyannote[356].start 2747.23034375
transcript.pyannote[356].end 2748.27659375
transcript.pyannote[357].speaker SPEAKER_04
transcript.pyannote[357].start 2750.04846875
transcript.pyannote[357].end 2751.60096875
transcript.pyannote[358].speaker SPEAKER_04
transcript.pyannote[358].start 2754.14909375
transcript.pyannote[358].end 2755.60034375
transcript.pyannote[359].speaker SPEAKER_04
transcript.pyannote[359].start 2755.92096875
transcript.pyannote[359].end 2757.18659375
transcript.pyannote[360].speaker SPEAKER_04
transcript.pyannote[360].start 2760.89909375
transcript.pyannote[360].end 2761.86096875
transcript.pyannote[361].speaker SPEAKER_04
transcript.pyannote[361].start 2762.35034375
transcript.pyannote[361].end 2762.92409375
transcript.pyannote[362].speaker SPEAKER_04
transcript.pyannote[362].start 2764.69596875
transcript.pyannote[362].end 2765.48909375
transcript.pyannote[363].speaker SPEAKER_04
transcript.pyannote[363].start 2767.85159375
transcript.pyannote[363].end 2768.37471875
transcript.pyannote[364].speaker SPEAKER_04
transcript.pyannote[364].start 2770.46721875
transcript.pyannote[364].end 2772.69471875
transcript.pyannote[365].speaker SPEAKER_04
transcript.pyannote[365].start 2773.62284375
transcript.pyannote[365].end 2775.27659375
transcript.pyannote[366].speaker SPEAKER_04
transcript.pyannote[366].start 2775.98534375
transcript.pyannote[366].end 2778.14534375
transcript.pyannote[367].speaker SPEAKER_04
transcript.pyannote[367].start 2778.83721875
transcript.pyannote[367].end 2780.60909375
transcript.pyannote[368].speaker SPEAKER_04
transcript.pyannote[368].start 2781.19971875
transcript.pyannote[368].end 2782.58346875
transcript.pyannote[369].speaker SPEAKER_04
transcript.pyannote[369].start 2783.15721875
transcript.pyannote[369].end 2785.16534375
transcript.pyannote[370].speaker SPEAKER_04
transcript.pyannote[370].start 2786.11034375
transcript.pyannote[370].end 2787.10596875
transcript.pyannote[371].speaker SPEAKER_04
transcript.pyannote[371].start 2790.81846875
transcript.pyannote[371].end 2791.44284375
transcript.pyannote[372].speaker SPEAKER_04
transcript.pyannote[372].start 2792.97846875
transcript.pyannote[372].end 2794.15971875
transcript.pyannote[373].speaker SPEAKER_04
transcript.pyannote[373].start 2795.94846875
transcript.pyannote[373].end 2796.72471875
transcript.pyannote[374].speaker SPEAKER_04
transcript.pyannote[374].start 2796.85971875
transcript.pyannote[374].end 2797.82159375
transcript.pyannote[375].speaker SPEAKER_04
transcript.pyannote[375].start 2800.36971875
transcript.pyannote[375].end 2802.25971875
transcript.pyannote[376].speaker SPEAKER_04
transcript.pyannote[376].start 2803.86284375
transcript.pyannote[376].end 2806.07346875
transcript.pyannote[377].speaker SPEAKER_04
transcript.pyannote[377].start 2806.74846875
transcript.pyannote[377].end 2807.82846875
transcript.pyannote[378].speaker SPEAKER_04
transcript.pyannote[378].start 2809.00971875
transcript.pyannote[378].end 2810.41034375
transcript.pyannote[379].speaker SPEAKER_04
transcript.pyannote[379].start 2811.59159375
transcript.pyannote[379].end 2812.21596875
transcript.pyannote[380].speaker SPEAKER_04
transcript.pyannote[380].start 2812.99221875
transcript.pyannote[380].end 2813.65034375
transcript.pyannote[381].speaker SPEAKER_04
transcript.pyannote[381].start 2814.93284375
transcript.pyannote[381].end 2815.64159375
transcript.pyannote[382].speaker SPEAKER_04
transcript.pyannote[382].start 2817.85221875
transcript.pyannote[382].end 2818.40909375
transcript.pyannote[383].speaker SPEAKER_04
transcript.pyannote[383].start 2818.84784375
transcript.pyannote[383].end 2819.60721875
transcript.pyannote[384].speaker SPEAKER_04
transcript.pyannote[384].start 2821.90221875
transcript.pyannote[384].end 2823.40409375
transcript.pyannote[385].speaker SPEAKER_04
transcript.pyannote[385].start 2823.80909375
transcript.pyannote[385].end 2824.83846875
transcript.pyannote[386].speaker SPEAKER_04
transcript.pyannote[386].start 2825.15909375
transcript.pyannote[386].end 2826.42471875
transcript.pyannote[387].speaker SPEAKER_04
transcript.pyannote[387].start 2826.88034375
transcript.pyannote[387].end 2827.63971875
transcript.pyannote[388].speaker SPEAKER_04
transcript.pyannote[388].start 2828.39909375
transcript.pyannote[388].end 2830.00221875
transcript.pyannote[389].speaker SPEAKER_04
transcript.pyannote[389].start 2831.09909375
transcript.pyannote[389].end 2831.79096875
transcript.pyannote[390].speaker SPEAKER_04
transcript.pyannote[390].start 2833.14096875
transcript.pyannote[390].end 2834.28846875
transcript.pyannote[391].speaker SPEAKER_04
transcript.pyannote[391].start 2835.31784375
transcript.pyannote[391].end 2836.83659375
transcript.pyannote[392].speaker SPEAKER_04
transcript.pyannote[392].start 2837.08971875
transcript.pyannote[392].end 2840.16096875
transcript.pyannote[393].speaker SPEAKER_04
transcript.pyannote[393].start 2840.56596875
transcript.pyannote[393].end 2842.97909375
transcript.pyannote[394].speaker SPEAKER_04
transcript.pyannote[394].start 2844.86909375
transcript.pyannote[394].end 2847.14721875
transcript.pyannote[395].speaker SPEAKER_04
transcript.pyannote[395].start 2847.40034375
transcript.pyannote[395].end 2848.24409375
transcript.pyannote[396].speaker SPEAKER_04
transcript.pyannote[396].start 2848.63221875
transcript.pyannote[396].end 2849.25659375
transcript.pyannote[397].speaker SPEAKER_04
transcript.pyannote[397].start 2849.96534375
transcript.pyannote[397].end 2850.50534375
transcript.pyannote[398].speaker SPEAKER_04
transcript.pyannote[398].start 2851.51784375
transcript.pyannote[398].end 2852.15909375
transcript.pyannote[399].speaker SPEAKER_04
transcript.pyannote[399].start 2853.40784375
transcript.pyannote[399].end 2854.92659375
transcript.pyannote[400].speaker SPEAKER_04
transcript.pyannote[400].start 2856.79971875
transcript.pyannote[400].end 2857.23846875
transcript.pyannote[401].speaker SPEAKER_04
transcript.pyannote[401].start 2857.82909375
transcript.pyannote[401].end 2858.25096875
transcript.pyannote[402].speaker SPEAKER_04
transcript.pyannote[402].start 2858.57159375
transcript.pyannote[402].end 2859.11159375
transcript.pyannote[403].speaker SPEAKER_04
transcript.pyannote[403].start 2859.71909375
transcript.pyannote[403].end 2860.96784375
transcript.pyannote[404].speaker SPEAKER_04
transcript.pyannote[404].start 2861.37284375
transcript.pyannote[404].end 2862.53721875
transcript.pyannote[405].speaker SPEAKER_04
transcript.pyannote[405].start 2864.30909375
transcript.pyannote[405].end 2865.64221875
transcript.pyannote[406].speaker SPEAKER_04
transcript.pyannote[406].start 2865.96284375
transcript.pyannote[406].end 2867.68409375
transcript.pyannote[407].speaker SPEAKER_04
transcript.pyannote[407].start 2868.39284375
transcript.pyannote[407].end 2869.91159375
transcript.pyannote[408].speaker SPEAKER_13
transcript.pyannote[408].start 2877.08346875
transcript.pyannote[408].end 2880.23909375
transcript.pyannote[409].speaker SPEAKER_13
transcript.pyannote[409].start 2880.55971875
transcript.pyannote[409].end 2882.34846875
transcript.pyannote[410].speaker SPEAKER_02
transcript.pyannote[410].start 2887.57971875
transcript.pyannote[410].end 2889.62159375
transcript.pyannote[411].speaker SPEAKER_13
transcript.pyannote[411].start 2890.14471875
transcript.pyannote[411].end 2891.24159375
transcript.pyannote[412].speaker SPEAKER_02
transcript.pyannote[412].start 2899.72971875
transcript.pyannote[412].end 2899.93221875
transcript.pyannote[413].speaker SPEAKER_04
transcript.pyannote[413].start 2899.93221875
transcript.pyannote[413].end 2899.99971875
transcript.pyannote[414].speaker SPEAKER_02
transcript.pyannote[414].start 2899.99971875
transcript.pyannote[414].end 2900.03346875
transcript.pyannote[415].speaker SPEAKER_04
transcript.pyannote[415].start 2900.03346875
transcript.pyannote[415].end 2900.59034375
transcript.pyannote[416].speaker SPEAKER_02
transcript.pyannote[416].start 2900.59034375
transcript.pyannote[416].end 2900.60721875
transcript.pyannote[417].speaker SPEAKER_02
transcript.pyannote[417].start 2900.80971875
transcript.pyannote[417].end 2900.96159375
transcript.pyannote[418].speaker SPEAKER_04
transcript.pyannote[418].start 2900.96159375
transcript.pyannote[418].end 2901.82221875
transcript.pyannote[419].speaker SPEAKER_02
transcript.pyannote[419].start 2902.32846875
transcript.pyannote[419].end 2903.08784375
transcript.pyannote[420].speaker SPEAKER_02
transcript.pyannote[420].start 2903.50971875
transcript.pyannote[420].end 2907.07034375
transcript.pyannote[421].speaker SPEAKER_02
transcript.pyannote[421].start 2907.40784375
transcript.pyannote[421].end 2911.62659375
transcript.pyannote[422].speaker SPEAKER_04
transcript.pyannote[422].start 2907.42471875
transcript.pyannote[422].end 2907.74534375
transcript.pyannote[423].speaker SPEAKER_00
transcript.pyannote[423].start 2907.74534375
transcript.pyannote[423].end 2907.77909375
transcript.pyannote[424].speaker SPEAKER_02
transcript.pyannote[424].start 2911.89659375
transcript.pyannote[424].end 2916.28409375
transcript.pyannote[425].speaker SPEAKER_02
transcript.pyannote[425].start 2916.80721875
transcript.pyannote[425].end 2917.80284375
transcript.pyannote[426].speaker SPEAKER_02
transcript.pyannote[426].start 2918.08971875
transcript.pyannote[426].end 2929.41284375
transcript.pyannote[427].speaker SPEAKER_02
transcript.pyannote[427].start 2929.78409375
transcript.pyannote[427].end 2933.20971875
transcript.pyannote[428].speaker SPEAKER_02
transcript.pyannote[428].start 2933.46284375
transcript.pyannote[428].end 2945.37659375
transcript.pyannote[429].speaker SPEAKER_04
transcript.pyannote[429].start 2946.00096875
transcript.pyannote[429].end 2946.22034375
transcript.pyannote[430].speaker SPEAKER_04
transcript.pyannote[430].start 2947.28346875
transcript.pyannote[430].end 2948.90346875
transcript.pyannote[431].speaker SPEAKER_04
transcript.pyannote[431].start 2949.62909375
transcript.pyannote[431].end 2950.45596875
transcript.pyannote[432].speaker SPEAKER_04
transcript.pyannote[432].start 2951.35034375
transcript.pyannote[432].end 2953.20659375
transcript.pyannote[433].speaker SPEAKER_04
transcript.pyannote[433].start 2954.20221875
transcript.pyannote[433].end 2955.67034375
transcript.pyannote[434].speaker SPEAKER_04
transcript.pyannote[434].start 2957.29034375
transcript.pyannote[434].end 2960.88471875
transcript.pyannote[435].speaker SPEAKER_04
transcript.pyannote[435].start 2962.80846875
transcript.pyannote[435].end 2965.03596875
transcript.pyannote[436].speaker SPEAKER_04
transcript.pyannote[436].start 2966.04846875
transcript.pyannote[436].end 2971.63409375
transcript.pyannote[437].speaker SPEAKER_04
transcript.pyannote[437].start 2972.54534375
transcript.pyannote[437].end 2974.06409375
transcript.pyannote[438].speaker SPEAKER_04
transcript.pyannote[438].start 2975.21159375
transcript.pyannote[438].end 2977.67534375
transcript.pyannote[439].speaker SPEAKER_04
transcript.pyannote[439].start 2978.38409375
transcript.pyannote[439].end 2980.88159375
transcript.pyannote[440].speaker SPEAKER_04
transcript.pyannote[440].start 2981.52284375
transcript.pyannote[440].end 2982.02909375
transcript.pyannote[441].speaker SPEAKER_04
transcript.pyannote[441].start 2982.43409375
transcript.pyannote[441].end 2984.02034375
transcript.pyannote[442].speaker SPEAKER_04
transcript.pyannote[442].start 2984.45909375
transcript.pyannote[442].end 2986.65284375
transcript.pyannote[443].speaker SPEAKER_04
transcript.pyannote[443].start 2987.58096875
transcript.pyannote[443].end 2989.94346875
transcript.pyannote[444].speaker SPEAKER_04
transcript.pyannote[444].start 2990.09534375
transcript.pyannote[444].end 2991.96846875
transcript.pyannote[445].speaker SPEAKER_02
transcript.pyannote[445].start 2992.49159375
transcript.pyannote[445].end 2998.48221875
transcript.pyannote[446].speaker SPEAKER_04
transcript.pyannote[446].start 2999.88284375
transcript.pyannote[446].end 3000.89534375
transcript.pyannote[447].speaker SPEAKER_04
transcript.pyannote[447].start 3001.26659375
transcript.pyannote[447].end 3001.89096875
transcript.pyannote[448].speaker SPEAKER_04
transcript.pyannote[448].start 3003.61221875
transcript.pyannote[448].end 3004.74284375
transcript.pyannote[449].speaker SPEAKER_04
transcript.pyannote[449].start 3004.99596875
transcript.pyannote[449].end 3007.44284375
transcript.pyannote[450].speaker SPEAKER_04
transcript.pyannote[450].start 3008.10096875
transcript.pyannote[450].end 3008.96159375
transcript.pyannote[451].speaker SPEAKER_04
transcript.pyannote[451].start 3009.38346875
transcript.pyannote[451].end 3010.53096875
transcript.pyannote[452].speaker SPEAKER_04
transcript.pyannote[452].start 3011.23971875
transcript.pyannote[452].end 3012.30284375
transcript.pyannote[453].speaker SPEAKER_04
transcript.pyannote[453].start 3012.64034375
transcript.pyannote[453].end 3014.47971875
transcript.pyannote[454].speaker SPEAKER_04
transcript.pyannote[454].start 3015.61034375
transcript.pyannote[454].end 3016.30221875
transcript.pyannote[455].speaker SPEAKER_04
transcript.pyannote[455].start 3016.87596875
transcript.pyannote[455].end 3019.05284375
transcript.pyannote[456].speaker SPEAKER_04
transcript.pyannote[456].start 3019.42409375
transcript.pyannote[456].end 3021.09471875
transcript.pyannote[457].speaker SPEAKER_04
transcript.pyannote[457].start 3021.49971875
transcript.pyannote[457].end 3025.97159375
transcript.pyannote[458].speaker SPEAKER_02
transcript.pyannote[458].start 3025.97159375
transcript.pyannote[458].end 3026.00534375
transcript.pyannote[459].speaker SPEAKER_04
transcript.pyannote[459].start 3026.00534375
transcript.pyannote[459].end 3026.02221875
transcript.pyannote[460].speaker SPEAKER_02
transcript.pyannote[460].start 3026.02221875
transcript.pyannote[460].end 3026.03909375
transcript.pyannote[461].speaker SPEAKER_02
transcript.pyannote[461].start 3026.49471875
transcript.pyannote[461].end 3027.54096875
transcript.pyannote[462].speaker SPEAKER_02
transcript.pyannote[462].start 3028.21596875
transcript.pyannote[462].end 3034.98284375
transcript.pyannote[463].speaker SPEAKER_02
transcript.pyannote[463].start 3035.30346875
transcript.pyannote[463].end 3045.81659375
transcript.pyannote[464].speaker SPEAKER_02
transcript.pyannote[464].start 3046.47471875
transcript.pyannote[464].end 3071.61846875
transcript.pyannote[465].speaker SPEAKER_02
transcript.pyannote[465].start 3071.83784375
transcript.pyannote[465].end 3074.45346875
transcript.pyannote[466].speaker SPEAKER_04
transcript.pyannote[466].start 3074.97659375
transcript.pyannote[466].end 3075.44909375
transcript.pyannote[467].speaker SPEAKER_04
transcript.pyannote[467].start 3076.24221875
transcript.pyannote[467].end 3078.16596875
transcript.pyannote[468].speaker SPEAKER_04
transcript.pyannote[468].start 3078.84096875
transcript.pyannote[468].end 3079.81971875
transcript.pyannote[469].speaker SPEAKER_04
transcript.pyannote[469].start 3080.81534375
transcript.pyannote[469].end 3082.11471875
transcript.pyannote[470].speaker SPEAKER_04
transcript.pyannote[470].start 3083.05971875
transcript.pyannote[470].end 3085.96221875
transcript.pyannote[471].speaker SPEAKER_02
transcript.pyannote[471].start 3085.96221875
transcript.pyannote[471].end 3086.16471875
transcript.pyannote[472].speaker SPEAKER_04
transcript.pyannote[472].start 3086.80596875
transcript.pyannote[472].end 3086.82284375
transcript.pyannote[473].speaker SPEAKER_02
transcript.pyannote[473].start 3086.82284375
transcript.pyannote[473].end 3087.66659375
transcript.pyannote[474].speaker SPEAKER_02
transcript.pyannote[474].start 3087.97034375
transcript.pyannote[474].end 3095.71596875
transcript.pyannote[475].speaker SPEAKER_04
transcript.pyannote[475].start 3096.98159375
transcript.pyannote[475].end 3099.31034375
transcript.pyannote[476].speaker SPEAKER_04
transcript.pyannote[476].start 3099.37784375
transcript.pyannote[476].end 3102.48284375
transcript.pyannote[477].speaker SPEAKER_04
transcript.pyannote[477].start 3102.95534375
transcript.pyannote[477].end 3105.97596875
transcript.pyannote[478].speaker SPEAKER_04
transcript.pyannote[478].start 3106.26284375
transcript.pyannote[478].end 3106.73534375
transcript.pyannote[479].speaker SPEAKER_04
transcript.pyannote[479].start 3106.95471875
transcript.pyannote[479].end 3107.74784375
transcript.pyannote[480].speaker SPEAKER_04
transcript.pyannote[480].start 3109.14846875
transcript.pyannote[480].end 3111.08909375
transcript.pyannote[481].speaker SPEAKER_04
transcript.pyannote[481].start 3111.67971875
transcript.pyannote[481].end 3112.45596875
transcript.pyannote[482].speaker SPEAKER_04
transcript.pyannote[482].start 3113.09721875
transcript.pyannote[482].end 3115.44284375
transcript.pyannote[483].speaker SPEAKER_04
transcript.pyannote[483].start 3115.88159375
transcript.pyannote[483].end 3116.75909375
transcript.pyannote[484].speaker SPEAKER_04
transcript.pyannote[484].start 3117.61971875
transcript.pyannote[484].end 3118.41284375
transcript.pyannote[485].speaker SPEAKER_04
transcript.pyannote[485].start 3118.75034375
transcript.pyannote[485].end 3121.68659375
transcript.pyannote[486].speaker SPEAKER_04
transcript.pyannote[486].start 3122.76659375
transcript.pyannote[486].end 3123.59346875
transcript.pyannote[487].speaker SPEAKER_04
transcript.pyannote[487].start 3123.94784375
transcript.pyannote[487].end 3124.52159375
transcript.pyannote[488].speaker SPEAKER_04
transcript.pyannote[488].start 3125.48346875
transcript.pyannote[488].end 3126.51284375
transcript.pyannote[489].speaker SPEAKER_04
transcript.pyannote[489].start 3127.64346875
transcript.pyannote[489].end 3128.85846875
transcript.pyannote[490].speaker SPEAKER_04
transcript.pyannote[490].start 3129.06096875
transcript.pyannote[490].end 3130.51221875
transcript.pyannote[491].speaker SPEAKER_04
transcript.pyannote[491].start 3131.50784375
transcript.pyannote[491].end 3135.62534375
transcript.pyannote[492].speaker SPEAKER_04
transcript.pyannote[492].start 3136.31721875
transcript.pyannote[492].end 3137.44784375
transcript.pyannote[493].speaker SPEAKER_04
transcript.pyannote[493].start 3138.71346875
transcript.pyannote[493].end 3139.33784375
transcript.pyannote[494].speaker SPEAKER_04
transcript.pyannote[494].start 3140.43471875
transcript.pyannote[494].end 3147.67409375
transcript.pyannote[495].speaker SPEAKER_04
transcript.pyannote[495].start 3148.26471875
transcript.pyannote[495].end 3153.63096875
transcript.pyannote[496].speaker SPEAKER_04
transcript.pyannote[496].start 3154.25534375
transcript.pyannote[496].end 3155.14971875
transcript.pyannote[497].speaker SPEAKER_04
transcript.pyannote[497].start 3155.50409375
transcript.pyannote[497].end 3159.63846875
transcript.pyannote[498].speaker SPEAKER_04
transcript.pyannote[498].start 3160.98846875
transcript.pyannote[498].end 3161.54534375
transcript.pyannote[499].speaker SPEAKER_04
transcript.pyannote[499].start 3162.55784375
transcript.pyannote[499].end 3164.59971875
transcript.pyannote[500].speaker SPEAKER_04
transcript.pyannote[500].start 3165.71346875
transcript.pyannote[500].end 3167.87346875
transcript.pyannote[501].speaker SPEAKER_04
transcript.pyannote[501].start 3168.46409375
transcript.pyannote[501].end 3170.30346875
transcript.pyannote[502].speaker SPEAKER_04
transcript.pyannote[502].start 3171.99096875
transcript.pyannote[502].end 3172.54784375
transcript.pyannote[503].speaker SPEAKER_04
transcript.pyannote[503].start 3172.95284375
transcript.pyannote[503].end 3173.93159375
transcript.pyannote[504].speaker SPEAKER_04
transcript.pyannote[504].start 3174.67409375
transcript.pyannote[504].end 3175.99034375
transcript.pyannote[505].speaker SPEAKER_04
transcript.pyannote[505].start 3177.17159375
transcript.pyannote[505].end 3181.98096875
transcript.pyannote[506].speaker SPEAKER_04
transcript.pyannote[506].start 3183.95534375
transcript.pyannote[506].end 3185.03534375
transcript.pyannote[507].speaker SPEAKER_02
transcript.pyannote[507].start 3183.98909375
transcript.pyannote[507].end 3191.48159375
transcript.pyannote[508].speaker SPEAKER_04
transcript.pyannote[508].start 3190.23284375
transcript.pyannote[508].end 3190.63784375
transcript.pyannote[509].speaker SPEAKER_04
transcript.pyannote[509].start 3191.19471875
transcript.pyannote[509].end 3191.97096875
transcript.pyannote[510].speaker SPEAKER_02
transcript.pyannote[510].start 3191.97096875
transcript.pyannote[510].end 3192.66284375
transcript.pyannote[511].speaker SPEAKER_04
transcript.pyannote[511].start 3194.48534375
transcript.pyannote[511].end 3197.67471875
transcript.pyannote[512].speaker SPEAKER_04
transcript.pyannote[512].start 3198.83909375
transcript.pyannote[512].end 3200.34096875
transcript.pyannote[513].speaker SPEAKER_04
transcript.pyannote[513].start 3200.94846875
transcript.pyannote[513].end 3202.24784375
transcript.pyannote[514].speaker SPEAKER_04
transcript.pyannote[514].start 3202.55159375
transcript.pyannote[514].end 3203.83409375
transcript.pyannote[515].speaker SPEAKER_04
transcript.pyannote[515].start 3207.19221875
transcript.pyannote[515].end 3217.01346875
transcript.pyannote[516].speaker SPEAKER_08
transcript.pyannote[516].start 3217.16534375
transcript.pyannote[516].end 3218.97096875
transcript.pyannote[517].speaker SPEAKER_04
transcript.pyannote[517].start 3217.50284375
transcript.pyannote[517].end 3221.02971875
transcript.pyannote[518].speaker SPEAKER_04
transcript.pyannote[518].start 3221.16471875
transcript.pyannote[518].end 3221.77221875
transcript.pyannote[519].speaker SPEAKER_04
transcript.pyannote[519].start 3222.63284375
transcript.pyannote[519].end 3223.34159375
transcript.pyannote[520].speaker SPEAKER_04
transcript.pyannote[520].start 3223.94909375
transcript.pyannote[520].end 3225.06284375
transcript.pyannote[521].speaker SPEAKER_04
transcript.pyannote[521].start 3225.50159375
transcript.pyannote[521].end 3226.27784375
transcript.pyannote[522].speaker SPEAKER_04
transcript.pyannote[522].start 3226.80096875
transcript.pyannote[522].end 3229.55159375
transcript.pyannote[523].speaker SPEAKER_04
transcript.pyannote[523].start 3229.66971875
transcript.pyannote[523].end 3231.76221875
transcript.pyannote[524].speaker SPEAKER_04
transcript.pyannote[524].start 3232.53846875
transcript.pyannote[524].end 3235.08659375
transcript.pyannote[525].speaker SPEAKER_04
transcript.pyannote[525].start 3235.33971875
transcript.pyannote[525].end 3235.98096875
transcript.pyannote[526].speaker SPEAKER_02
transcript.pyannote[526].start 3235.50846875
transcript.pyannote[526].end 3235.69409375
transcript.pyannote[527].speaker SPEAKER_02
transcript.pyannote[527].start 3236.53784375
transcript.pyannote[527].end 3237.11159375
transcript.pyannote[528].speaker SPEAKER_04
transcript.pyannote[528].start 3236.84159375
transcript.pyannote[528].end 3239.22096875
transcript.pyannote[529].speaker SPEAKER_04
transcript.pyannote[529].start 3239.62596875
transcript.pyannote[529].end 3241.71846875
transcript.pyannote[530].speaker SPEAKER_02
transcript.pyannote[530].start 3241.43159375
transcript.pyannote[530].end 3245.59971875
transcript.pyannote[531].speaker SPEAKER_04
transcript.pyannote[531].start 3242.14034375
transcript.pyannote[531].end 3242.51159375
transcript.pyannote[532].speaker SPEAKER_04
transcript.pyannote[532].start 3246.25784375
transcript.pyannote[532].end 3249.59909375
transcript.pyannote[533].speaker SPEAKER_02
transcript.pyannote[533].start 3249.00846875
transcript.pyannote[533].end 3252.77159375
transcript.pyannote[534].speaker SPEAKER_04
transcript.pyannote[534].start 3249.66659375
transcript.pyannote[534].end 3251.05034375
transcript.pyannote[535].speaker SPEAKER_04
transcript.pyannote[535].start 3251.97846875
transcript.pyannote[535].end 3256.24784375
transcript.pyannote[536].speaker SPEAKER_04
transcript.pyannote[536].start 3256.58534375
transcript.pyannote[536].end 3260.09534375
transcript.pyannote[537].speaker SPEAKER_02
transcript.pyannote[537].start 3259.65659375
transcript.pyannote[537].end 3284.34471875
transcript.pyannote[538].speaker SPEAKER_02
transcript.pyannote[538].start 3284.69909375
transcript.pyannote[538].end 3286.36971875
transcript.pyannote[539].speaker SPEAKER_02
transcript.pyannote[539].start 3286.48784375
transcript.pyannote[539].end 3297.70971875
transcript.pyannote[540].speaker SPEAKER_04
transcript.pyannote[540].start 3297.64221875
transcript.pyannote[540].end 3299.93721875
transcript.pyannote[541].speaker SPEAKER_04
transcript.pyannote[541].start 3300.98346875
transcript.pyannote[541].end 3302.78909375
transcript.pyannote[542].speaker SPEAKER_04
transcript.pyannote[542].start 3303.12659375
transcript.pyannote[542].end 3303.46409375
transcript.pyannote[543].speaker SPEAKER_04
transcript.pyannote[543].start 3303.61596875
transcript.pyannote[543].end 3306.95721875
transcript.pyannote[544].speaker SPEAKER_04
transcript.pyannote[544].start 3307.75034375
transcript.pyannote[544].end 3309.21846875
transcript.pyannote[545].speaker SPEAKER_04
transcript.pyannote[545].start 3309.67409375
transcript.pyannote[545].end 3310.46721875
transcript.pyannote[546].speaker SPEAKER_04
transcript.pyannote[546].start 3311.46284375
transcript.pyannote[546].end 3316.17096875
transcript.pyannote[547].speaker SPEAKER_04
transcript.pyannote[547].start 3317.08221875
transcript.pyannote[547].end 3322.41471875
transcript.pyannote[548].speaker SPEAKER_04
transcript.pyannote[548].start 3322.97159375
transcript.pyannote[548].end 3324.11909375
transcript.pyannote[549].speaker SPEAKER_02
transcript.pyannote[549].start 3324.50721875
transcript.pyannote[549].end 3330.12659375
transcript.pyannote[550].speaker SPEAKER_04
transcript.pyannote[550].start 3327.83159375
transcript.pyannote[550].end 3330.90284375
transcript.pyannote[551].speaker SPEAKER_02
transcript.pyannote[551].start 3330.90284375
transcript.pyannote[551].end 3330.91971875
transcript.pyannote[552].speaker SPEAKER_04
transcript.pyannote[552].start 3330.91971875
transcript.pyannote[552].end 3331.03784375
transcript.pyannote[553].speaker SPEAKER_02
transcript.pyannote[553].start 3331.03784375
transcript.pyannote[553].end 3334.04159375
transcript.pyannote[554].speaker SPEAKER_04
transcript.pyannote[554].start 3334.96971875
transcript.pyannote[554].end 3344.75721875
transcript.pyannote[555].speaker SPEAKER_04
transcript.pyannote[555].start 3345.17909375
transcript.pyannote[555].end 3348.23346875
transcript.pyannote[556].speaker SPEAKER_04
transcript.pyannote[556].start 3348.52034375
transcript.pyannote[556].end 3349.16159375
transcript.pyannote[557].speaker SPEAKER_04
transcript.pyannote[557].start 3349.33034375
transcript.pyannote[557].end 3351.70971875
transcript.pyannote[558].speaker SPEAKER_02
transcript.pyannote[558].start 3351.96284375
transcript.pyannote[558].end 3363.58971875
transcript.pyannote[559].speaker SPEAKER_13
transcript.pyannote[559].start 3366.01971875
transcript.pyannote[559].end 3371.40284375
transcript.pyannote[560].speaker SPEAKER_05
transcript.pyannote[560].start 3378.62534375
transcript.pyannote[560].end 3384.07596875
transcript.pyannote[561].speaker SPEAKER_05
transcript.pyannote[561].start 3384.41346875
transcript.pyannote[561].end 3385.78034375
transcript.pyannote[562].speaker SPEAKER_13
transcript.pyannote[562].start 3386.45534375
transcript.pyannote[562].end 3387.77159375
transcript.pyannote[563].speaker SPEAKER_05
transcript.pyannote[563].start 3393.64409375
transcript.pyannote[563].end 3399.51659375
transcript.pyannote[564].speaker SPEAKER_05
transcript.pyannote[564].start 3400.09034375
transcript.pyannote[564].end 3401.17034375
transcript.pyannote[565].speaker SPEAKER_05
transcript.pyannote[565].start 3401.62596875
transcript.pyannote[565].end 3403.63409375
transcript.pyannote[566].speaker SPEAKER_05
transcript.pyannote[566].start 3403.97159375
transcript.pyannote[566].end 3404.57909375
transcript.pyannote[567].speaker SPEAKER_05
transcript.pyannote[567].start 3404.88284375
transcript.pyannote[567].end 3406.31721875
transcript.pyannote[568].speaker SPEAKER_05
transcript.pyannote[568].start 3406.58721875
transcript.pyannote[568].end 3418.36596875
transcript.pyannote[569].speaker SPEAKER_05
transcript.pyannote[569].start 3418.56846875
transcript.pyannote[569].end 3421.90971875
transcript.pyannote[570].speaker SPEAKER_05
transcript.pyannote[570].start 3422.02784375
transcript.pyannote[570].end 3424.44096875
transcript.pyannote[571].speaker SPEAKER_05
transcript.pyannote[571].start 3424.62659375
transcript.pyannote[571].end 3448.09971875
transcript.pyannote[572].speaker SPEAKER_04
transcript.pyannote[572].start 3448.47096875
transcript.pyannote[572].end 3449.36534375
transcript.pyannote[573].speaker SPEAKER_05
transcript.pyannote[573].start 3449.60159375
transcript.pyannote[573].end 3463.30409375
transcript.pyannote[574].speaker SPEAKER_05
transcript.pyannote[574].start 3463.70909375
transcript.pyannote[574].end 3473.74971875
transcript.pyannote[575].speaker SPEAKER_05
transcript.pyannote[575].start 3474.07034375
transcript.pyannote[575].end 3477.54659375
transcript.pyannote[576].speaker SPEAKER_05
transcript.pyannote[576].start 3477.71534375
transcript.pyannote[576].end 3483.77346875
transcript.pyannote[577].speaker SPEAKER_05
transcript.pyannote[577].start 3483.94221875
transcript.pyannote[577].end 3486.76034375
transcript.pyannote[578].speaker SPEAKER_05
transcript.pyannote[578].start 3487.13159375
transcript.pyannote[578].end 3491.46846875
transcript.pyannote[579].speaker SPEAKER_05
transcript.pyannote[579].start 3491.89034375
transcript.pyannote[579].end 3501.32346875
transcript.pyannote[580].speaker SPEAKER_05
transcript.pyannote[580].start 3501.79596875
transcript.pyannote[580].end 3504.69846875
transcript.pyannote[581].speaker SPEAKER_05
transcript.pyannote[581].start 3505.06971875
transcript.pyannote[581].end 3522.61971875
transcript.pyannote[582].speaker SPEAKER_05
transcript.pyannote[582].start 3522.92346875
transcript.pyannote[582].end 3532.32284375
transcript.pyannote[583].speaker SPEAKER_05
transcript.pyannote[583].start 3532.45784375
transcript.pyannote[583].end 3557.28096875
transcript.pyannote[584].speaker SPEAKER_00
transcript.pyannote[584].start 3540.74346875
transcript.pyannote[584].end 3541.46909375
transcript.pyannote[585].speaker SPEAKER_08
transcript.pyannote[585].start 3557.61846875
transcript.pyannote[585].end 3557.97284375
transcript.pyannote[586].speaker SPEAKER_05
transcript.pyannote[586].start 3557.90534375
transcript.pyannote[586].end 3560.41971875
transcript.pyannote[587].speaker SPEAKER_04
transcript.pyannote[587].start 3562.02284375
transcript.pyannote[587].end 3565.43159375
transcript.pyannote[588].speaker SPEAKER_04
transcript.pyannote[588].start 3566.14034375
transcript.pyannote[588].end 3566.89971875
transcript.pyannote[589].speaker SPEAKER_04
transcript.pyannote[589].start 3567.79409375
transcript.pyannote[589].end 3570.03846875
transcript.pyannote[590].speaker SPEAKER_04
transcript.pyannote[590].start 3570.44346875
transcript.pyannote[590].end 3576.18096875
transcript.pyannote[591].speaker SPEAKER_04
transcript.pyannote[591].start 3576.31596875
transcript.pyannote[591].end 3579.64034375
transcript.pyannote[592].speaker SPEAKER_04
transcript.pyannote[592].start 3579.82596875
transcript.pyannote[592].end 3581.81721875
transcript.pyannote[593].speaker SPEAKER_04
transcript.pyannote[593].start 3582.40784375
transcript.pyannote[593].end 3586.66034375
transcript.pyannote[594].speaker SPEAKER_05
transcript.pyannote[594].start 3586.37346875
transcript.pyannote[594].end 3594.92909375
transcript.pyannote[595].speaker SPEAKER_04
transcript.pyannote[595].start 3586.72784375
transcript.pyannote[595].end 3587.62221875
transcript.pyannote[596].speaker SPEAKER_04
transcript.pyannote[596].start 3594.92909375
transcript.pyannote[596].end 3596.05971875
transcript.pyannote[597].speaker SPEAKER_04
transcript.pyannote[597].start 3596.17784375
transcript.pyannote[597].end 3597.98346875
transcript.pyannote[598].speaker SPEAKER_04
transcript.pyannote[598].start 3599.18159375
transcript.pyannote[598].end 3600.70034375
transcript.pyannote[599].speaker SPEAKER_04
transcript.pyannote[599].start 3601.64534375
transcript.pyannote[599].end 3602.60721875
transcript.pyannote[600].speaker SPEAKER_04
transcript.pyannote[600].start 3602.91096875
transcript.pyannote[600].end 3604.73346875
transcript.pyannote[601].speaker SPEAKER_04
transcript.pyannote[601].start 3605.27346875
transcript.pyannote[601].end 3606.70784375
transcript.pyannote[602].speaker SPEAKER_04
transcript.pyannote[602].start 3606.72471875
transcript.pyannote[602].end 3611.38221875
transcript.pyannote[603].speaker SPEAKER_04
transcript.pyannote[603].start 3611.56784375
transcript.pyannote[603].end 3616.90034375
transcript.pyannote[604].speaker SPEAKER_05
transcript.pyannote[604].start 3617.11971875
transcript.pyannote[604].end 3623.22846875
transcript.pyannote[605].speaker SPEAKER_05
transcript.pyannote[605].start 3623.48159375
transcript.pyannote[605].end 3645.82409375
transcript.pyannote[606].speaker SPEAKER_05
transcript.pyannote[606].start 3646.14471875
transcript.pyannote[606].end 3647.02221875
transcript.pyannote[607].speaker SPEAKER_05
transcript.pyannote[607].start 3647.51159375
transcript.pyannote[607].end 3656.43846875
transcript.pyannote[608].speaker SPEAKER_04
transcript.pyannote[608].start 3656.75909375
transcript.pyannote[608].end 3657.38346875
transcript.pyannote[609].speaker SPEAKER_04
transcript.pyannote[609].start 3657.48471875
transcript.pyannote[609].end 3658.56471875
transcript.pyannote[610].speaker SPEAKER_05
transcript.pyannote[610].start 3657.56909375
transcript.pyannote[610].end 3671.45721875
transcript.pyannote[611].speaker SPEAKER_05
transcript.pyannote[611].start 3671.81159375
transcript.pyannote[611].end 3672.50346875
transcript.pyannote[612].speaker SPEAKER_05
transcript.pyannote[612].start 3672.55409375
transcript.pyannote[612].end 3675.79409375
transcript.pyannote[613].speaker SPEAKER_05
transcript.pyannote[613].start 3676.38471875
transcript.pyannote[613].end 3715.23096875
transcript.pyannote[614].speaker SPEAKER_08
transcript.pyannote[614].start 3687.10034375
transcript.pyannote[614].end 3687.21846875
transcript.pyannote[615].speaker SPEAKER_04
transcript.pyannote[615].start 3714.08346875
transcript.pyannote[615].end 3714.40409375
transcript.pyannote[616].speaker SPEAKER_04
transcript.pyannote[616].start 3715.23096875
transcript.pyannote[616].end 3715.66971875
transcript.pyannote[617].speaker SPEAKER_04
transcript.pyannote[617].start 3716.24346875
transcript.pyannote[617].end 3725.74409375
transcript.pyannote[618].speaker SPEAKER_04
transcript.pyannote[618].start 3726.13221875
transcript.pyannote[618].end 3728.74784375
transcript.pyannote[619].speaker SPEAKER_04
transcript.pyannote[619].start 3729.03471875
transcript.pyannote[619].end 3733.40534375
transcript.pyannote[620].speaker SPEAKER_04
transcript.pyannote[620].start 3733.62471875
transcript.pyannote[620].end 3739.88534375
transcript.pyannote[621].speaker SPEAKER_04
transcript.pyannote[621].start 3740.37471875
transcript.pyannote[621].end 3741.13409375
transcript.pyannote[622].speaker SPEAKER_04
transcript.pyannote[622].start 3741.58971875
transcript.pyannote[622].end 3747.81659375
transcript.pyannote[623].speaker SPEAKER_04
transcript.pyannote[623].start 3748.52534375
transcript.pyannote[623].end 3750.04409375
transcript.pyannote[624].speaker SPEAKER_04
transcript.pyannote[624].start 3750.61784375
transcript.pyannote[624].end 3752.37284375
transcript.pyannote[625].speaker SPEAKER_04
transcript.pyannote[625].start 3753.13221875
transcript.pyannote[625].end 3756.16971875
transcript.pyannote[626].speaker SPEAKER_04
transcript.pyannote[626].start 3756.38909375
transcript.pyannote[626].end 3757.31721875
transcript.pyannote[627].speaker SPEAKER_04
transcript.pyannote[627].start 3757.63784375
transcript.pyannote[627].end 3763.62846875
transcript.pyannote[628].speaker SPEAKER_04
transcript.pyannote[628].start 3763.88159375
transcript.pyannote[628].end 3767.08784375
transcript.pyannote[629].speaker SPEAKER_05
transcript.pyannote[629].start 3767.44221875
transcript.pyannote[629].end 3790.49346875
transcript.pyannote[630].speaker SPEAKER_05
transcript.pyannote[630].start 3791.01659375
transcript.pyannote[630].end 3808.54971875
transcript.pyannote[631].speaker SPEAKER_05
transcript.pyannote[631].start 3808.81971875
transcript.pyannote[631].end 3814.01721875
transcript.pyannote[632].speaker SPEAKER_05
transcript.pyannote[632].start 3814.42221875
transcript.pyannote[632].end 3816.63284375
transcript.pyannote[633].speaker SPEAKER_05
transcript.pyannote[633].start 3816.95346875
transcript.pyannote[633].end 3833.86221875
transcript.pyannote[634].speaker SPEAKER_05
transcript.pyannote[634].start 3834.14909375
transcript.pyannote[634].end 3840.79784375
transcript.pyannote[635].speaker SPEAKER_04
transcript.pyannote[635].start 3841.21971875
transcript.pyannote[635].end 3843.75096875
transcript.pyannote[636].speaker SPEAKER_04
transcript.pyannote[636].start 3844.10534375
transcript.pyannote[636].end 3845.03346875
transcript.pyannote[637].speaker SPEAKER_04
transcript.pyannote[637].start 3845.05034375
transcript.pyannote[637].end 3848.22284375
transcript.pyannote[638].speaker SPEAKER_04
transcript.pyannote[638].start 3848.67846875
transcript.pyannote[638].end 3850.95659375
transcript.pyannote[639].speaker SPEAKER_04
transcript.pyannote[639].start 3851.26034375
transcript.pyannote[639].end 3855.17534375
transcript.pyannote[640].speaker SPEAKER_04
transcript.pyannote[640].start 3855.69846875
transcript.pyannote[640].end 3860.60909375
transcript.pyannote[641].speaker SPEAKER_05
transcript.pyannote[641].start 3861.31784375
transcript.pyannote[641].end 3873.16409375
transcript.pyannote[642].speaker SPEAKER_13
transcript.pyannote[642].start 3877.87221875
transcript.pyannote[642].end 3883.08659375
transcript.pyannote[643].speaker SPEAKER_28
transcript.pyannote[643].start 3894.61221875
transcript.pyannote[643].end 3895.20284375
transcript.pyannote[644].speaker SPEAKER_28
transcript.pyannote[644].start 3895.42221875
transcript.pyannote[644].end 3897.73409375
transcript.pyannote[645].speaker SPEAKER_13
transcript.pyannote[645].start 3898.78034375
transcript.pyannote[645].end 3899.99534375
transcript.pyannote[646].speaker SPEAKER_28
transcript.pyannote[646].start 3904.70346875
transcript.pyannote[646].end 3904.72034375
transcript.pyannote[647].speaker SPEAKER_08
transcript.pyannote[647].start 3904.72034375
transcript.pyannote[647].end 3904.93971875
transcript.pyannote[648].speaker SPEAKER_28
transcript.pyannote[648].start 3904.93971875
transcript.pyannote[648].end 3904.99034375
transcript.pyannote[649].speaker SPEAKER_28
transcript.pyannote[649].start 3906.40784375
transcript.pyannote[649].end 3907.18409375
transcript.pyannote[650].speaker SPEAKER_28
transcript.pyannote[650].start 3907.62284375
transcript.pyannote[650].end 3907.74096875
transcript.pyannote[651].speaker SPEAKER_28
transcript.pyannote[651].start 3907.97721875
transcript.pyannote[651].end 3916.33034375
transcript.pyannote[652].speaker SPEAKER_28
transcript.pyannote[652].start 3918.16971875
transcript.pyannote[652].end 3924.73409375
transcript.pyannote[653].speaker SPEAKER_28
transcript.pyannote[653].start 3925.42596875
transcript.pyannote[653].end 3937.71096875
transcript.pyannote[654].speaker SPEAKER_28
transcript.pyannote[654].start 3937.99784375
transcript.pyannote[654].end 3944.73096875
transcript.pyannote[655].speaker SPEAKER_28
transcript.pyannote[655].start 3944.81534375
transcript.pyannote[655].end 3946.57034375
transcript.pyannote[656].speaker SPEAKER_28
transcript.pyannote[656].start 3946.95846875
transcript.pyannote[656].end 3968.45721875
transcript.pyannote[657].speaker SPEAKER_28
transcript.pyannote[657].start 3968.69346875
transcript.pyannote[657].end 3976.92846875
transcript.pyannote[658].speaker SPEAKER_28
transcript.pyannote[658].start 3977.70471875
transcript.pyannote[658].end 3980.15159375
transcript.pyannote[659].speaker SPEAKER_28
transcript.pyannote[659].start 3981.40034375
transcript.pyannote[659].end 3983.79659375
transcript.pyannote[660].speaker SPEAKER_28
transcript.pyannote[660].start 3984.21846875
transcript.pyannote[660].end 3987.25596875
transcript.pyannote[661].speaker SPEAKER_28
transcript.pyannote[661].start 3987.61034375
transcript.pyannote[661].end 3989.33159375
transcript.pyannote[662].speaker SPEAKER_28
transcript.pyannote[662].start 3989.82096875
transcript.pyannote[662].end 3992.74034375
transcript.pyannote[663].speaker SPEAKER_28
transcript.pyannote[663].start 3993.33096875
transcript.pyannote[663].end 4000.31721875
transcript.pyannote[664].speaker SPEAKER_28
transcript.pyannote[664].start 4000.94159375
transcript.pyannote[664].end 4004.85659375
transcript.pyannote[665].speaker SPEAKER_28
transcript.pyannote[665].start 4004.97471875
transcript.pyannote[665].end 4011.97784375
transcript.pyannote[666].speaker SPEAKER_28
transcript.pyannote[666].start 4012.39971875
transcript.pyannote[666].end 4018.94721875
transcript.pyannote[667].speaker SPEAKER_28
transcript.pyannote[667].start 4019.26784375
transcript.pyannote[667].end 4020.70221875
transcript.pyannote[668].speaker SPEAKER_28
transcript.pyannote[668].start 4021.76534375
transcript.pyannote[668].end 4023.55409375
transcript.pyannote[669].speaker SPEAKER_28
transcript.pyannote[669].start 4025.00534375
transcript.pyannote[669].end 4025.79846875
transcript.pyannote[670].speaker SPEAKER_28
transcript.pyannote[670].start 4026.97971875
transcript.pyannote[670].end 4031.58659375
transcript.pyannote[671].speaker SPEAKER_28
transcript.pyannote[671].start 4031.95784375
transcript.pyannote[671].end 4032.80159375
transcript.pyannote[672].speaker SPEAKER_28
transcript.pyannote[672].start 4032.97034375
transcript.pyannote[672].end 4034.60721875
transcript.pyannote[673].speaker SPEAKER_28
transcript.pyannote[673].start 4035.72096875
transcript.pyannote[673].end 4037.66159375
transcript.pyannote[674].speaker SPEAKER_28
transcript.pyannote[674].start 4039.38284375
transcript.pyannote[674].end 4041.66096875
transcript.pyannote[675].speaker SPEAKER_28
transcript.pyannote[675].start 4042.30221875
transcript.pyannote[675].end 4043.75346875
transcript.pyannote[676].speaker SPEAKER_28
transcript.pyannote[676].start 4044.24284375
transcript.pyannote[676].end 4045.30596875
transcript.pyannote[677].speaker SPEAKER_28
transcript.pyannote[677].start 4045.54221875
transcript.pyannote[677].end 4046.40284375
transcript.pyannote[678].speaker SPEAKER_28
transcript.pyannote[678].start 4046.89221875
transcript.pyannote[678].end 4047.97221875
transcript.pyannote[679].speaker SPEAKER_28
transcript.pyannote[679].start 4048.51221875
transcript.pyannote[679].end 4049.35596875
transcript.pyannote[680].speaker SPEAKER_28
transcript.pyannote[680].start 4049.84534375
transcript.pyannote[680].end 4052.02221875
transcript.pyannote[681].speaker SPEAKER_28
transcript.pyannote[681].start 4052.81534375
transcript.pyannote[681].end 4053.55784375
transcript.pyannote[682].speaker SPEAKER_28
transcript.pyannote[682].start 4053.82784375
transcript.pyannote[682].end 4054.28346875
transcript.pyannote[683].speaker SPEAKER_28
transcript.pyannote[683].start 4054.33409375
transcript.pyannote[683].end 4056.03846875
transcript.pyannote[684].speaker SPEAKER_28
transcript.pyannote[684].start 4056.34221875
transcript.pyannote[684].end 4058.73846875
transcript.pyannote[685].speaker SPEAKER_28
transcript.pyannote[685].start 4058.97471875
transcript.pyannote[685].end 4062.43409375
transcript.pyannote[686].speaker SPEAKER_28
transcript.pyannote[686].start 4062.78846875
transcript.pyannote[686].end 4063.75034375
transcript.pyannote[687].speaker SPEAKER_28
transcript.pyannote[687].start 4064.88096875
transcript.pyannote[687].end 4068.45846875
transcript.pyannote[688].speaker SPEAKER_28
transcript.pyannote[688].start 4068.88034375
transcript.pyannote[688].end 4069.99409375
transcript.pyannote[689].speaker SPEAKER_04
transcript.pyannote[689].start 4070.88846875
transcript.pyannote[689].end 4071.51284375
transcript.pyannote[690].speaker SPEAKER_28
transcript.pyannote[690].start 4072.42409375
transcript.pyannote[690].end 4072.44096875
transcript.pyannote[691].speaker SPEAKER_04
transcript.pyannote[691].start 4072.44096875
transcript.pyannote[691].end 4072.74471875
transcript.pyannote[692].speaker SPEAKER_28
transcript.pyannote[692].start 4072.74471875
transcript.pyannote[692].end 4072.96409375
transcript.pyannote[693].speaker SPEAKER_04
transcript.pyannote[693].start 4072.96409375
transcript.pyannote[693].end 4073.43659375
transcript.pyannote[694].speaker SPEAKER_04
transcript.pyannote[694].start 4074.34784375
transcript.pyannote[694].end 4078.06034375
transcript.pyannote[695].speaker SPEAKER_04
transcript.pyannote[695].start 4078.90409375
transcript.pyannote[695].end 4079.78159375
transcript.pyannote[696].speaker SPEAKER_04
transcript.pyannote[696].start 4080.23721875
transcript.pyannote[696].end 4080.96284375
transcript.pyannote[697].speaker SPEAKER_04
transcript.pyannote[697].start 4081.40159375
transcript.pyannote[697].end 4082.32971875
transcript.pyannote[698].speaker SPEAKER_04
transcript.pyannote[698].start 4082.92034375
transcript.pyannote[698].end 4083.51096875
transcript.pyannote[699].speaker SPEAKER_04
transcript.pyannote[699].start 4084.32096875
transcript.pyannote[699].end 4085.04659375
transcript.pyannote[700].speaker SPEAKER_04
transcript.pyannote[700].start 4086.80159375
transcript.pyannote[700].end 4089.41721875
transcript.pyannote[701].speaker SPEAKER_04
transcript.pyannote[701].start 4090.15971875
transcript.pyannote[701].end 4090.75034375
transcript.pyannote[702].speaker SPEAKER_04
transcript.pyannote[702].start 4091.91471875
transcript.pyannote[702].end 4092.47159375
transcript.pyannote[703].speaker SPEAKER_04
transcript.pyannote[703].start 4092.74159375
transcript.pyannote[703].end 4094.68221875
transcript.pyannote[704].speaker SPEAKER_04
transcript.pyannote[704].start 4095.08721875
transcript.pyannote[704].end 4096.03221875
transcript.pyannote[705].speaker SPEAKER_04
transcript.pyannote[705].start 4096.82534375
transcript.pyannote[705].end 4097.85471875
transcript.pyannote[706].speaker SPEAKER_04
transcript.pyannote[706].start 4098.93471875
transcript.pyannote[706].end 4099.39034375
transcript.pyannote[707].speaker SPEAKER_04
transcript.pyannote[707].start 4099.64346875
transcript.pyannote[707].end 4102.00596875
transcript.pyannote[708].speaker SPEAKER_04
transcript.pyannote[708].start 4102.07346875
transcript.pyannote[708].end 4103.72721875
transcript.pyannote[709].speaker SPEAKER_04
transcript.pyannote[709].start 4104.31784375
transcript.pyannote[709].end 4110.64596875
transcript.pyannote[710].speaker SPEAKER_04
transcript.pyannote[710].start 4111.43909375
transcript.pyannote[710].end 4115.79284375
transcript.pyannote[711].speaker SPEAKER_04
transcript.pyannote[711].start 4115.96159375
transcript.pyannote[711].end 4120.90596875
transcript.pyannote[712].speaker SPEAKER_04
transcript.pyannote[712].start 4122.07034375
transcript.pyannote[712].end 4123.99409375
transcript.pyannote[713].speaker SPEAKER_04
transcript.pyannote[713].start 4124.29784375
transcript.pyannote[713].end 4126.98096875
transcript.pyannote[714].speaker SPEAKER_04
transcript.pyannote[714].start 4127.77409375
transcript.pyannote[714].end 4130.42346875
transcript.pyannote[715].speaker SPEAKER_04
transcript.pyannote[715].start 4131.25034375
transcript.pyannote[715].end 4133.79846875
transcript.pyannote[716].speaker SPEAKER_04
transcript.pyannote[716].start 4134.25409375
transcript.pyannote[716].end 4135.09784375
transcript.pyannote[717].speaker SPEAKER_04
transcript.pyannote[717].start 4135.30034375
transcript.pyannote[717].end 4140.31221875
transcript.pyannote[718].speaker SPEAKER_04
transcript.pyannote[718].start 4141.15596875
transcript.pyannote[718].end 4141.66221875
transcript.pyannote[719].speaker SPEAKER_04
transcript.pyannote[719].start 4142.08409375
transcript.pyannote[719].end 4144.91909375
transcript.pyannote[720].speaker SPEAKER_04
transcript.pyannote[720].start 4145.27346875
transcript.pyannote[720].end 4146.52221875
transcript.pyannote[721].speaker SPEAKER_04
transcript.pyannote[721].start 4147.01159375
transcript.pyannote[721].end 4151.14596875
transcript.pyannote[722].speaker SPEAKER_04
transcript.pyannote[722].start 4151.68596875
transcript.pyannote[722].end 4152.79971875
transcript.pyannote[723].speaker SPEAKER_04
transcript.pyannote[723].start 4153.22159375
transcript.pyannote[723].end 4153.91346875
transcript.pyannote[724].speaker SPEAKER_04
transcript.pyannote[724].start 4154.57159375
transcript.pyannote[724].end 4155.78659375
transcript.pyannote[725].speaker SPEAKER_04
transcript.pyannote[725].start 4156.09034375
transcript.pyannote[725].end 4157.37284375
transcript.pyannote[726].speaker SPEAKER_04
transcript.pyannote[726].start 4158.19971875
transcript.pyannote[726].end 4160.93346875
transcript.pyannote[727].speaker SPEAKER_04
transcript.pyannote[727].start 4161.55784375
transcript.pyannote[727].end 4164.98346875
transcript.pyannote[728].speaker SPEAKER_04
transcript.pyannote[728].start 4165.70909375
transcript.pyannote[728].end 4168.37534375
transcript.pyannote[729].speaker SPEAKER_04
transcript.pyannote[729].start 4169.47221875
transcript.pyannote[729].end 4172.18909375
transcript.pyannote[730].speaker SPEAKER_04
transcript.pyannote[730].start 4172.50971875
transcript.pyannote[730].end 4173.65721875
transcript.pyannote[731].speaker SPEAKER_04
transcript.pyannote[731].start 4173.97784375
transcript.pyannote[731].end 4176.45846875
transcript.pyannote[732].speaker SPEAKER_04
transcript.pyannote[732].start 4176.91409375
transcript.pyannote[732].end 4179.90096875
transcript.pyannote[733].speaker SPEAKER_04
transcript.pyannote[733].start 4180.12034375
transcript.pyannote[733].end 4180.76159375
transcript.pyannote[734].speaker SPEAKER_04
transcript.pyannote[734].start 4181.21721875
transcript.pyannote[734].end 4182.43221875
transcript.pyannote[735].speaker SPEAKER_04
transcript.pyannote[735].start 4182.97221875
transcript.pyannote[735].end 4184.91284375
transcript.pyannote[736].speaker SPEAKER_04
transcript.pyannote[736].start 4185.19971875
transcript.pyannote[736].end 4186.00971875
transcript.pyannote[737].speaker SPEAKER_04
transcript.pyannote[737].start 4186.29659375
transcript.pyannote[737].end 4188.27096875
transcript.pyannote[738].speaker SPEAKER_04
transcript.pyannote[738].start 4188.38909375
transcript.pyannote[738].end 4190.46471875
transcript.pyannote[739].speaker SPEAKER_04
transcript.pyannote[739].start 4191.07221875
transcript.pyannote[739].end 4192.79346875
transcript.pyannote[740].speaker SPEAKER_04
transcript.pyannote[740].start 4193.48534375
transcript.pyannote[740].end 4194.44721875
transcript.pyannote[741].speaker SPEAKER_04
transcript.pyannote[741].start 4194.56534375
transcript.pyannote[741].end 4196.53971875
transcript.pyannote[742].speaker SPEAKER_04
transcript.pyannote[742].start 4196.92784375
transcript.pyannote[742].end 4201.04534375
transcript.pyannote[743].speaker SPEAKER_04
transcript.pyannote[743].start 4201.60221875
transcript.pyannote[743].end 4202.15909375
transcript.pyannote[744].speaker SPEAKER_28
transcript.pyannote[744].start 4202.15909375
transcript.pyannote[744].end 4202.73284375
transcript.pyannote[745].speaker SPEAKER_28
transcript.pyannote[745].start 4203.01971875
transcript.pyannote[745].end 4208.92596875
transcript.pyannote[746].speaker SPEAKER_28
transcript.pyannote[746].start 4209.39846875
transcript.pyannote[746].end 4225.21034375
transcript.pyannote[747].speaker SPEAKER_28
transcript.pyannote[747].start 4225.68284375
transcript.pyannote[747].end 4226.02034375
transcript.pyannote[748].speaker SPEAKER_28
transcript.pyannote[748].start 4226.62784375
transcript.pyannote[748].end 4228.66971875
transcript.pyannote[749].speaker SPEAKER_28
transcript.pyannote[749].start 4229.41221875
transcript.pyannote[749].end 4230.86346875
transcript.pyannote[750].speaker SPEAKER_28
transcript.pyannote[750].start 4231.18409375
transcript.pyannote[750].end 4232.29784375
transcript.pyannote[751].speaker SPEAKER_28
transcript.pyannote[751].start 4232.46659375
transcript.pyannote[751].end 4242.33846875
transcript.pyannote[752].speaker SPEAKER_28
transcript.pyannote[752].start 4242.76034375
transcript.pyannote[752].end 4243.16534375
transcript.pyannote[753].speaker SPEAKER_28
transcript.pyannote[753].start 4243.73909375
transcript.pyannote[753].end 4244.54909375
transcript.pyannote[754].speaker SPEAKER_28
transcript.pyannote[754].start 4244.97096875
transcript.pyannote[754].end 4246.84409375
transcript.pyannote[755].speaker SPEAKER_28
transcript.pyannote[755].start 4247.02971875
transcript.pyannote[755].end 4248.68346875
transcript.pyannote[756].speaker SPEAKER_28
transcript.pyannote[756].start 4250.06721875
transcript.pyannote[756].end 4250.80971875
transcript.pyannote[757].speaker SPEAKER_28
transcript.pyannote[757].start 4251.06284375
transcript.pyannote[757].end 4251.63659375
transcript.pyannote[758].speaker SPEAKER_28
transcript.pyannote[758].start 4252.26096875
transcript.pyannote[758].end 4269.47346875
transcript.pyannote[759].speaker SPEAKER_28
transcript.pyannote[759].start 4269.82784375
transcript.pyannote[759].end 4270.94159375
transcript.pyannote[760].speaker SPEAKER_28
transcript.pyannote[760].start 4272.03846875
transcript.pyannote[760].end 4273.13534375
transcript.pyannote[761].speaker SPEAKER_28
transcript.pyannote[761].start 4274.11409375
transcript.pyannote[761].end 4274.67096875
transcript.pyannote[762].speaker SPEAKER_28
transcript.pyannote[762].start 4275.41346875
transcript.pyannote[762].end 4278.01221875
transcript.pyannote[763].speaker SPEAKER_28
transcript.pyannote[763].start 4278.51846875
transcript.pyannote[763].end 4283.00721875
transcript.pyannote[764].speaker SPEAKER_28
transcript.pyannote[764].start 4283.31096875
transcript.pyannote[764].end 4286.04471875
transcript.pyannote[765].speaker SPEAKER_28
transcript.pyannote[765].start 4286.73659375
transcript.pyannote[765].end 4288.40721875
transcript.pyannote[766].speaker SPEAKER_28
transcript.pyannote[766].start 4289.09909375
transcript.pyannote[766].end 4290.65159375
transcript.pyannote[767].speaker SPEAKER_28
transcript.pyannote[767].start 4291.76534375
transcript.pyannote[767].end 4294.27971875
transcript.pyannote[768].speaker SPEAKER_28
transcript.pyannote[768].start 4295.49471875
transcript.pyannote[768].end 4303.08846875
transcript.pyannote[769].speaker SPEAKER_28
transcript.pyannote[769].start 4303.69596875
transcript.pyannote[769].end 4307.57721875
transcript.pyannote[770].speaker SPEAKER_28
transcript.pyannote[770].start 4308.50534375
transcript.pyannote[770].end 4313.60159375
transcript.pyannote[771].speaker SPEAKER_28
transcript.pyannote[771].start 4314.52971875
transcript.pyannote[771].end 4316.06534375
transcript.pyannote[772].speaker SPEAKER_28
transcript.pyannote[772].start 4316.94284375
transcript.pyannote[772].end 4318.61346875
transcript.pyannote[773].speaker SPEAKER_28
transcript.pyannote[773].start 4319.17034375
transcript.pyannote[773].end 4322.57909375
transcript.pyannote[774].speaker SPEAKER_28
transcript.pyannote[774].start 4322.61284375
transcript.pyannote[774].end 4333.42971875
transcript.pyannote[775].speaker SPEAKER_28
transcript.pyannote[775].start 4334.15534375
transcript.pyannote[775].end 4336.95659375
transcript.pyannote[776].speaker SPEAKER_28
transcript.pyannote[776].start 4337.73284375
transcript.pyannote[776].end 4338.61034375
transcript.pyannote[777].speaker SPEAKER_28
transcript.pyannote[777].start 4339.99409375
transcript.pyannote[777].end 4341.25971875
transcript.pyannote[778].speaker SPEAKER_28
transcript.pyannote[778].start 4341.54659375
transcript.pyannote[778].end 4345.68096875
transcript.pyannote[779].speaker SPEAKER_28
transcript.pyannote[779].start 4345.91721875
transcript.pyannote[779].end 4346.35596875
transcript.pyannote[780].speaker SPEAKER_28
transcript.pyannote[780].start 4346.81159375
transcript.pyannote[780].end 4357.07159375
transcript.pyannote[781].speaker SPEAKER_28
transcript.pyannote[781].start 4358.40471875
transcript.pyannote[781].end 4369.91346875
transcript.pyannote[782].speaker SPEAKER_04
transcript.pyannote[782].start 4369.37346875
transcript.pyannote[782].end 4371.11159375
transcript.pyannote[783].speaker SPEAKER_04
transcript.pyannote[783].start 4371.29721875
transcript.pyannote[783].end 4371.34784375
transcript.pyannote[784].speaker SPEAKER_28
transcript.pyannote[784].start 4371.34784375
transcript.pyannote[784].end 4371.65159375
transcript.pyannote[785].speaker SPEAKER_04
transcript.pyannote[785].start 4371.44909375
transcript.pyannote[785].end 4373.79471875
transcript.pyannote[786].speaker SPEAKER_28
transcript.pyannote[786].start 4373.84534375
transcript.pyannote[786].end 4375.31346875
transcript.pyannote[787].speaker SPEAKER_13
transcript.pyannote[787].start 4380.44346875
transcript.pyannote[787].end 4385.99534375
transcript.pyannote[788].speaker SPEAKER_22
transcript.pyannote[788].start 4395.32721875
transcript.pyannote[788].end 4397.99346875
transcript.pyannote[789].speaker SPEAKER_13
transcript.pyannote[789].start 4398.97221875
transcript.pyannote[789].end 4400.17034375
transcript.pyannote[790].speaker SPEAKER_04
transcript.pyannote[790].start 4407.34221875
transcript.pyannote[790].end 4407.67971875
transcript.pyannote[791].speaker SPEAKER_04
transcript.pyannote[791].start 4408.33784375
transcript.pyannote[791].end 4408.40534375
transcript.pyannote[792].speaker SPEAKER_22
transcript.pyannote[792].start 4408.40534375
transcript.pyannote[792].end 4408.59096875
transcript.pyannote[793].speaker SPEAKER_04
transcript.pyannote[793].start 4408.59096875
transcript.pyannote[793].end 4409.60346875
transcript.pyannote[794].speaker SPEAKER_22
transcript.pyannote[794].start 4409.60346875
transcript.pyannote[794].end 4448.19659375
transcript.pyannote[795].speaker SPEAKER_04
transcript.pyannote[795].start 4448.61846875
transcript.pyannote[795].end 4452.70221875
transcript.pyannote[796].speaker SPEAKER_04
transcript.pyannote[796].start 4452.73596875
transcript.pyannote[796].end 4452.75284375
transcript.pyannote[797].speaker SPEAKER_22
transcript.pyannote[797].start 4452.75284375
transcript.pyannote[797].end 4468.91909375
transcript.pyannote[798].speaker SPEAKER_04
transcript.pyannote[798].start 4469.79659375
transcript.pyannote[798].end 4471.90596875
transcript.pyannote[799].speaker SPEAKER_04
transcript.pyannote[799].start 4472.37846875
transcript.pyannote[799].end 4476.56346875
transcript.pyannote[800].speaker SPEAKER_04
transcript.pyannote[800].start 4476.96846875
transcript.pyannote[800].end 4482.45284375
transcript.pyannote[801].speaker SPEAKER_22
transcript.pyannote[801].start 4482.75659375
transcript.pyannote[801].end 4516.96221875
transcript.pyannote[802].speaker SPEAKER_15
transcript.pyannote[802].start 4516.96221875
transcript.pyannote[802].end 4517.06346875
transcript.pyannote[803].speaker SPEAKER_22
transcript.pyannote[803].start 4517.06346875
transcript.pyannote[803].end 4526.58096875
transcript.pyannote[804].speaker SPEAKER_15
transcript.pyannote[804].start 4517.08034375
transcript.pyannote[804].end 4517.18159375
transcript.pyannote[805].speaker SPEAKER_22
transcript.pyannote[805].start 4526.86784375
transcript.pyannote[805].end 4533.95534375
transcript.pyannote[806].speaker SPEAKER_04
transcript.pyannote[806].start 4534.56284375
transcript.pyannote[806].end 4535.20409375
transcript.pyannote[807].speaker SPEAKER_22
transcript.pyannote[807].start 4534.61346875
transcript.pyannote[807].end 4534.81596875
transcript.pyannote[808].speaker SPEAKER_04
transcript.pyannote[808].start 4535.72721875
transcript.pyannote[808].end 4537.76909375
transcript.pyannote[809].speaker SPEAKER_04
transcript.pyannote[809].start 4538.22471875
transcript.pyannote[809].end 4541.46471875
transcript.pyannote[810].speaker SPEAKER_04
transcript.pyannote[810].start 4541.95409375
transcript.pyannote[810].end 4545.58221875
transcript.pyannote[811].speaker SPEAKER_04
transcript.pyannote[811].start 4546.69596875
transcript.pyannote[811].end 4548.48471875
transcript.pyannote[812].speaker SPEAKER_04
transcript.pyannote[812].start 4549.59846875
transcript.pyannote[812].end 4551.16784375
transcript.pyannote[813].speaker SPEAKER_04
transcript.pyannote[813].start 4551.26909375
transcript.pyannote[813].end 4551.77534375
transcript.pyannote[814].speaker SPEAKER_04
transcript.pyannote[814].start 4551.82596875
transcript.pyannote[814].end 4552.77096875
transcript.pyannote[815].speaker SPEAKER_04
transcript.pyannote[815].start 4553.32784375
transcript.pyannote[815].end 4554.45846875
transcript.pyannote[816].speaker SPEAKER_04
transcript.pyannote[816].start 4554.81284375
transcript.pyannote[816].end 4557.51284375
transcript.pyannote[817].speaker SPEAKER_04
transcript.pyannote[817].start 4557.69846875
transcript.pyannote[817].end 4560.68534375
transcript.pyannote[818].speaker SPEAKER_04
transcript.pyannote[818].start 4561.27596875
transcript.pyannote[818].end 4561.73159375
transcript.pyannote[819].speaker SPEAKER_04
transcript.pyannote[819].start 4561.88346875
transcript.pyannote[819].end 4565.79846875
transcript.pyannote[820].speaker SPEAKER_04
transcript.pyannote[820].start 4566.22034375
transcript.pyannote[820].end 4567.80659375
transcript.pyannote[821].speaker SPEAKER_04
transcript.pyannote[821].start 4568.49846875
transcript.pyannote[821].end 4571.63721875
transcript.pyannote[822].speaker SPEAKER_04
transcript.pyannote[822].start 4571.97471875
transcript.pyannote[822].end 4572.37971875
transcript.pyannote[823].speaker SPEAKER_04
transcript.pyannote[823].start 4573.13909375
transcript.pyannote[823].end 4573.57784375
transcript.pyannote[824].speaker SPEAKER_04
transcript.pyannote[824].start 4573.99971875
transcript.pyannote[824].end 4575.23159375
transcript.pyannote[825].speaker SPEAKER_04
transcript.pyannote[825].start 4575.97409375
transcript.pyannote[825].end 4577.07096875
transcript.pyannote[826].speaker SPEAKER_22
transcript.pyannote[826].start 4577.18909375
transcript.pyannote[826].end 4577.61096875
transcript.pyannote[827].speaker SPEAKER_04
transcript.pyannote[827].start 4577.71221875
transcript.pyannote[827].end 4581.00284375
transcript.pyannote[828].speaker SPEAKER_04
transcript.pyannote[828].start 4581.62721875
transcript.pyannote[828].end 4582.45409375
transcript.pyannote[829].speaker SPEAKER_22
transcript.pyannote[829].start 4583.68596875
transcript.pyannote[829].end 4613.87534375
transcript.pyannote[830].speaker SPEAKER_22
transcript.pyannote[830].start 4614.16221875
transcript.pyannote[830].end 4622.41409375
transcript.pyannote[831].speaker SPEAKER_22
transcript.pyannote[831].start 4622.92034375
transcript.pyannote[831].end 4721.50409375
transcript.pyannote[832].speaker SPEAKER_04
transcript.pyannote[832].start 4722.31409375
transcript.pyannote[832].end 4726.98846875
transcript.pyannote[833].speaker SPEAKER_04
transcript.pyannote[833].start 4727.24159375
transcript.pyannote[833].end 4729.35096875
transcript.pyannote[834].speaker SPEAKER_22
transcript.pyannote[834].start 4727.42721875
transcript.pyannote[834].end 4742.80034375
transcript.pyannote[835].speaker SPEAKER_22
transcript.pyannote[835].start 4742.88471875
transcript.pyannote[835].end 4752.92534375
transcript.pyannote[836].speaker SPEAKER_04
transcript.pyannote[836].start 4753.60034375
transcript.pyannote[836].end 4757.36346875
transcript.pyannote[837].speaker SPEAKER_04
transcript.pyannote[837].start 4758.17346875
transcript.pyannote[837].end 4759.01721875
transcript.pyannote[838].speaker SPEAKER_04
transcript.pyannote[838].start 4759.94534375
transcript.pyannote[838].end 4760.45159375
transcript.pyannote[839].speaker SPEAKER_04
transcript.pyannote[839].start 4760.82284375
transcript.pyannote[839].end 4761.71721875
transcript.pyannote[840].speaker SPEAKER_04
transcript.pyannote[840].start 4762.25721875
transcript.pyannote[840].end 4764.48471875
transcript.pyannote[841].speaker SPEAKER_04
transcript.pyannote[841].start 4765.02471875
transcript.pyannote[841].end 4766.42534375
transcript.pyannote[842].speaker SPEAKER_04
transcript.pyannote[842].start 4766.88096875
transcript.pyannote[842].end 4767.77534375
transcript.pyannote[843].speaker SPEAKER_04
transcript.pyannote[843].start 4768.99034375
transcript.pyannote[843].end 4770.35721875
transcript.pyannote[844].speaker SPEAKER_04
transcript.pyannote[844].start 4770.74534375
transcript.pyannote[844].end 4771.03221875
transcript.pyannote[845].speaker SPEAKER_04
transcript.pyannote[845].start 4771.25159375
transcript.pyannote[845].end 4771.80846875
transcript.pyannote[846].speaker SPEAKER_04
transcript.pyannote[846].start 4772.12909375
transcript.pyannote[846].end 4773.54659375
transcript.pyannote[847].speaker SPEAKER_04
transcript.pyannote[847].start 4774.13721875
transcript.pyannote[847].end 4775.23409375
transcript.pyannote[848].speaker SPEAKER_04
transcript.pyannote[848].start 4776.04409375
transcript.pyannote[848].end 4777.29284375
transcript.pyannote[849].speaker SPEAKER_04
transcript.pyannote[849].start 4777.83284375
transcript.pyannote[849].end 4778.20409375
transcript.pyannote[850].speaker SPEAKER_04
transcript.pyannote[850].start 4779.30096875
transcript.pyannote[850].end 4779.95909375
transcript.pyannote[851].speaker SPEAKER_04
transcript.pyannote[851].start 4780.33034375
transcript.pyannote[851].end 4785.66284375
transcript.pyannote[852].speaker SPEAKER_22
transcript.pyannote[852].start 4784.75159375
transcript.pyannote[852].end 4802.41971875
transcript.pyannote[853].speaker SPEAKER_04
transcript.pyannote[853].start 4802.79096875
transcript.pyannote[853].end 4804.90034375
transcript.pyannote[854].speaker SPEAKER_04
transcript.pyannote[854].start 4805.33909375
transcript.pyannote[854].end 4807.63409375
transcript.pyannote[855].speaker SPEAKER_04
transcript.pyannote[855].start 4807.68471875
transcript.pyannote[855].end 4809.30471875
transcript.pyannote[856].speaker SPEAKER_04
transcript.pyannote[856].start 4810.46909375
transcript.pyannote[856].end 4811.27909375
transcript.pyannote[857].speaker SPEAKER_22
transcript.pyannote[857].start 4811.39721875
transcript.pyannote[857].end 4814.58659375
transcript.pyannote[858].speaker SPEAKER_04
transcript.pyannote[858].start 4812.46034375
transcript.pyannote[858].end 4814.04659375
transcript.pyannote[859].speaker SPEAKER_04
transcript.pyannote[859].start 4814.28284375
transcript.pyannote[859].end 4815.29534375
transcript.pyannote[860].speaker SPEAKER_22
transcript.pyannote[860].start 4815.16034375
transcript.pyannote[860].end 4817.82659375
transcript.pyannote[861].speaker SPEAKER_04
transcript.pyannote[861].start 4817.70846875
transcript.pyannote[861].end 4822.55159375
transcript.pyannote[862].speaker SPEAKER_04
transcript.pyannote[862].start 4823.54721875
transcript.pyannote[862].end 4824.77909375
transcript.pyannote[863].speaker SPEAKER_04
transcript.pyannote[863].start 4826.48346875
transcript.pyannote[863].end 4827.98534375
transcript.pyannote[864].speaker SPEAKER_04
transcript.pyannote[864].start 4828.69409375
transcript.pyannote[864].end 4829.77409375
transcript.pyannote[865].speaker SPEAKER_04
transcript.pyannote[865].start 4830.33096875
transcript.pyannote[865].end 4831.51221875
transcript.pyannote[866].speaker SPEAKER_04
transcript.pyannote[866].start 4832.52471875
transcript.pyannote[866].end 4834.78596875
transcript.pyannote[867].speaker SPEAKER_04
transcript.pyannote[867].start 4835.15721875
transcript.pyannote[867].end 4836.13596875
transcript.pyannote[868].speaker SPEAKER_04
transcript.pyannote[868].start 4837.31721875
transcript.pyannote[868].end 4844.79284375
transcript.pyannote[869].speaker SPEAKER_04
transcript.pyannote[869].start 4845.19784375
transcript.pyannote[869].end 4846.02471875
transcript.pyannote[870].speaker SPEAKER_04
transcript.pyannote[870].start 4846.58159375
transcript.pyannote[870].end 4849.50096875
transcript.pyannote[871].speaker SPEAKER_04
transcript.pyannote[871].start 4850.29409375
transcript.pyannote[871].end 4853.98971875
transcript.pyannote[872].speaker SPEAKER_04
transcript.pyannote[872].start 4854.69846875
transcript.pyannote[872].end 4857.04409375
transcript.pyannote[873].speaker SPEAKER_04
transcript.pyannote[873].start 4857.51659375
transcript.pyannote[873].end 4858.07346875
transcript.pyannote[874].speaker SPEAKER_04
transcript.pyannote[874].start 4858.42784375
transcript.pyannote[874].end 4863.52409375
transcript.pyannote[875].speaker SPEAKER_04
transcript.pyannote[875].start 4864.01346875
transcript.pyannote[875].end 4865.32971875
transcript.pyannote[876].speaker SPEAKER_22
transcript.pyannote[876].start 4864.35096875
transcript.pyannote[876].end 4878.17159375
transcript.pyannote[877].speaker SPEAKER_04
transcript.pyannote[877].start 4878.71159375
transcript.pyannote[877].end 4879.70721875
transcript.pyannote[878].speaker SPEAKER_22
transcript.pyannote[878].start 4880.48346875
transcript.pyannote[878].end 4882.25534375
transcript.pyannote[879].speaker SPEAKER_22
transcript.pyannote[879].start 4883.63909375
transcript.pyannote[879].end 4883.65596875
transcript.pyannote[880].speaker SPEAKER_18
transcript.pyannote[880].start 4883.65596875
transcript.pyannote[880].end 4885.69784375
transcript.pyannote[881].speaker SPEAKER_18
transcript.pyannote[881].start 4886.08596875
transcript.pyannote[881].end 4888.38096875
transcript.pyannote[882].speaker SPEAKER_13
transcript.pyannote[882].start 4888.11096875
transcript.pyannote[882].end 4888.19534375
transcript.pyannote[883].speaker SPEAKER_13
transcript.pyannote[883].start 4895.63721875
transcript.pyannote[883].end 4897.45971875
transcript.pyannote[884].speaker SPEAKER_18
transcript.pyannote[884].start 4897.84784375
transcript.pyannote[884].end 4899.29909375
transcript.pyannote[885].speaker SPEAKER_04
transcript.pyannote[885].start 4904.90159375
transcript.pyannote[885].end 4905.76221875
transcript.pyannote[886].speaker SPEAKER_13
transcript.pyannote[886].start 4905.17159375
transcript.pyannote[886].end 4905.22221875
transcript.pyannote[887].speaker SPEAKER_13
transcript.pyannote[887].start 4906.18409375
transcript.pyannote[887].end 4906.48784375
transcript.pyannote[888].speaker SPEAKER_04
transcript.pyannote[888].start 4906.48784375
transcript.pyannote[888].end 4906.65659375
transcript.pyannote[889].speaker SPEAKER_13
transcript.pyannote[889].start 4907.55096875
transcript.pyannote[889].end 4908.31034375
transcript.pyannote[890].speaker SPEAKER_13
transcript.pyannote[890].start 4908.63096875
transcript.pyannote[890].end 4915.22909375
transcript.pyannote[891].speaker SPEAKER_13
transcript.pyannote[891].start 4915.76909375
transcript.pyannote[891].end 4916.34284375
transcript.pyannote[892].speaker SPEAKER_13
transcript.pyannote[892].start 4916.86596875
transcript.pyannote[892].end 4921.55721875
transcript.pyannote[893].speaker SPEAKER_13
transcript.pyannote[893].start 4921.92846875
transcript.pyannote[893].end 4923.68346875
transcript.pyannote[894].speaker SPEAKER_13
transcript.pyannote[894].start 4923.83534375
transcript.pyannote[894].end 4927.12596875
transcript.pyannote[895].speaker SPEAKER_08
transcript.pyannote[895].start 4927.29471875
transcript.pyannote[895].end 4927.58159375
transcript.pyannote[896].speaker SPEAKER_13
transcript.pyannote[896].start 4927.58159375
transcript.pyannote[896].end 4929.70784375
transcript.pyannote[897].speaker SPEAKER_13
transcript.pyannote[897].start 4930.02846875
transcript.pyannote[897].end 4933.40346875
transcript.pyannote[898].speaker SPEAKER_13
transcript.pyannote[898].start 4933.82534375
transcript.pyannote[898].end 4935.95159375
transcript.pyannote[899].speaker SPEAKER_13
transcript.pyannote[899].start 4936.35659375
transcript.pyannote[899].end 4938.98909375
transcript.pyannote[900].speaker SPEAKER_13
transcript.pyannote[900].start 4939.27596875
transcript.pyannote[900].end 4941.25034375
transcript.pyannote[901].speaker SPEAKER_13
transcript.pyannote[901].start 4941.97596875
transcript.pyannote[901].end 4949.02971875
transcript.pyannote[902].speaker SPEAKER_13
transcript.pyannote[902].start 4949.06346875
transcript.pyannote[902].end 4950.02534375
transcript.pyannote[903].speaker SPEAKER_13
transcript.pyannote[903].start 4950.76784375
transcript.pyannote[903].end 4955.69534375
transcript.pyannote[904].speaker SPEAKER_13
transcript.pyannote[904].start 4955.98221875
transcript.pyannote[904].end 4958.07471875
transcript.pyannote[905].speaker SPEAKER_13
transcript.pyannote[905].start 4959.18846875
transcript.pyannote[905].end 4960.36971875
transcript.pyannote[906].speaker SPEAKER_13
transcript.pyannote[906].start 4961.61846875
transcript.pyannote[906].end 4963.30596875
transcript.pyannote[907].speaker SPEAKER_13
transcript.pyannote[907].start 4963.71096875
transcript.pyannote[907].end 4965.31409375
transcript.pyannote[908].speaker SPEAKER_08
transcript.pyannote[908].start 4965.61784375
transcript.pyannote[908].end 4965.92159375
transcript.pyannote[909].speaker SPEAKER_13
transcript.pyannote[909].start 4966.09034375
transcript.pyannote[909].end 4967.37284375
transcript.pyannote[910].speaker SPEAKER_13
transcript.pyannote[910].start 4967.81159375
transcript.pyannote[910].end 4969.14471875
transcript.pyannote[911].speaker SPEAKER_13
transcript.pyannote[911].start 4969.48221875
transcript.pyannote[911].end 4971.11909375
transcript.pyannote[912].speaker SPEAKER_13
transcript.pyannote[912].start 4971.37221875
transcript.pyannote[912].end 4972.63784375
transcript.pyannote[913].speaker SPEAKER_13
transcript.pyannote[913].start 4972.82346875
transcript.pyannote[913].end 4975.01721875
transcript.pyannote[914].speaker SPEAKER_13
transcript.pyannote[914].start 4975.59096875
transcript.pyannote[914].end 4978.72971875
transcript.pyannote[915].speaker SPEAKER_13
transcript.pyannote[915].start 4979.32034375
transcript.pyannote[915].end 4979.72534375
transcript.pyannote[916].speaker SPEAKER_13
transcript.pyannote[916].start 4980.11346875
transcript.pyannote[916].end 4983.79221875
transcript.pyannote[917].speaker SPEAKER_13
transcript.pyannote[917].start 4984.46721875
transcript.pyannote[917].end 4986.08721875
transcript.pyannote[918].speaker SPEAKER_13
transcript.pyannote[918].start 4986.71159375
transcript.pyannote[918].end 4988.21346875
transcript.pyannote[919].speaker SPEAKER_13
transcript.pyannote[919].start 4988.82096875
transcript.pyannote[919].end 4992.44909375
transcript.pyannote[920].speaker SPEAKER_13
transcript.pyannote[920].start 4992.95534375
transcript.pyannote[920].end 4998.22034375
transcript.pyannote[921].speaker SPEAKER_13
transcript.pyannote[921].start 4998.76034375
transcript.pyannote[921].end 5001.88221875
transcript.pyannote[922].speaker SPEAKER_13
transcript.pyannote[922].start 5002.30409375
transcript.pyannote[922].end 5003.02971875
transcript.pyannote[923].speaker SPEAKER_13
transcript.pyannote[923].start 5003.63721875
transcript.pyannote[923].end 5008.66596875
transcript.pyannote[924].speaker SPEAKER_13
transcript.pyannote[924].start 5008.69971875
transcript.pyannote[924].end 5011.48409375
transcript.pyannote[925].speaker SPEAKER_13
transcript.pyannote[925].start 5012.04096875
transcript.pyannote[925].end 5014.01534375
transcript.pyannote[926].speaker SPEAKER_13
transcript.pyannote[926].start 5014.50471875
transcript.pyannote[926].end 5016.04034375
transcript.pyannote[927].speaker SPEAKER_13
transcript.pyannote[927].start 5016.27659375
transcript.pyannote[927].end 5017.87971875
transcript.pyannote[928].speaker SPEAKER_13
transcript.pyannote[928].start 5017.96409375
transcript.pyannote[928].end 5019.34784375
transcript.pyannote[929].speaker SPEAKER_13
transcript.pyannote[929].start 5019.65159375
transcript.pyannote[929].end 5022.03096875
transcript.pyannote[930].speaker SPEAKER_13
transcript.pyannote[930].start 5022.35159375
transcript.pyannote[930].end 5023.66784375
transcript.pyannote[931].speaker SPEAKER_13
transcript.pyannote[931].start 5024.34284375
transcript.pyannote[931].end 5025.65909375
transcript.pyannote[932].speaker SPEAKER_13
transcript.pyannote[932].start 5025.86159375
transcript.pyannote[932].end 5027.41409375
transcript.pyannote[933].speaker SPEAKER_13
transcript.pyannote[933].start 5027.80221875
transcript.pyannote[933].end 5029.18596875
transcript.pyannote[934].speaker SPEAKER_13
transcript.pyannote[934].start 5029.52346875
transcript.pyannote[934].end 5030.83971875
transcript.pyannote[935].speaker SPEAKER_13
transcript.pyannote[935].start 5031.21096875
transcript.pyannote[935].end 5032.56096875
transcript.pyannote[936].speaker SPEAKER_13
transcript.pyannote[936].start 5032.89846875
transcript.pyannote[936].end 5034.77159375
transcript.pyannote[937].speaker SPEAKER_13
transcript.pyannote[937].start 5034.90659375
transcript.pyannote[937].end 5035.98659375
transcript.pyannote[938].speaker SPEAKER_13
transcript.pyannote[938].start 5036.32409375
transcript.pyannote[938].end 5037.47159375
transcript.pyannote[939].speaker SPEAKER_13
transcript.pyannote[939].start 5037.64034375
transcript.pyannote[939].end 5038.88909375
transcript.pyannote[940].speaker SPEAKER_13
transcript.pyannote[940].start 5039.29409375
transcript.pyannote[940].end 5047.51221875
transcript.pyannote[941].speaker SPEAKER_13
transcript.pyannote[941].start 5048.49096875
transcript.pyannote[941].end 5049.60471875
transcript.pyannote[942].speaker SPEAKER_13
transcript.pyannote[942].start 5049.89159375
transcript.pyannote[942].end 5052.82784375
transcript.pyannote[943].speaker SPEAKER_13
transcript.pyannote[943].start 5053.33409375
transcript.pyannote[943].end 5061.63659375
transcript.pyannote[944].speaker SPEAKER_13
transcript.pyannote[944].start 5061.88971875
transcript.pyannote[944].end 5065.28159375
transcript.pyannote[945].speaker SPEAKER_13
transcript.pyannote[945].start 5065.66971875
transcript.pyannote[945].end 5069.58471875
transcript.pyannote[946].speaker SPEAKER_13
transcript.pyannote[946].start 5070.04034375
transcript.pyannote[946].end 5071.35659375
transcript.pyannote[947].speaker SPEAKER_13
transcript.pyannote[947].start 5071.45784375
transcript.pyannote[947].end 5072.63909375
transcript.pyannote[948].speaker SPEAKER_13
transcript.pyannote[948].start 5073.26346875
transcript.pyannote[948].end 5077.00971875
transcript.pyannote[949].speaker SPEAKER_13
transcript.pyannote[949].start 5077.70159375
transcript.pyannote[949].end 5081.09346875
transcript.pyannote[950].speaker SPEAKER_13
transcript.pyannote[950].start 5081.59971875
transcript.pyannote[950].end 5082.52784375
transcript.pyannote[951].speaker SPEAKER_13
transcript.pyannote[951].start 5082.79784375
transcript.pyannote[951].end 5083.96221875
transcript.pyannote[952].speaker SPEAKER_13
transcript.pyannote[952].start 5084.48534375
transcript.pyannote[952].end 5086.12221875
transcript.pyannote[953].speaker SPEAKER_13
transcript.pyannote[953].start 5086.52721875
transcript.pyannote[953].end 5087.38784375
transcript.pyannote[954].speaker SPEAKER_13
transcript.pyannote[954].start 5087.80971875
transcript.pyannote[954].end 5089.95284375
transcript.pyannote[955].speaker SPEAKER_13
transcript.pyannote[955].start 5090.00346875
transcript.pyannote[955].end 5093.27721875
transcript.pyannote[956].speaker SPEAKER_13
transcript.pyannote[956].start 5093.96909375
transcript.pyannote[956].end 5097.36096875
transcript.pyannote[957].speaker SPEAKER_13
transcript.pyannote[957].start 5097.95159375
transcript.pyannote[957].end 5103.46971875
transcript.pyannote[958].speaker SPEAKER_13
transcript.pyannote[958].start 5103.85784375
transcript.pyannote[958].end 5109.96659375
transcript.pyannote[959].speaker SPEAKER_11
transcript.pyannote[959].start 5104.83659375
transcript.pyannote[959].end 5104.90409375
transcript.pyannote[960].speaker SPEAKER_13
transcript.pyannote[960].start 5110.64159375
transcript.pyannote[960].end 5112.71721875
transcript.pyannote[961].speaker SPEAKER_13
transcript.pyannote[961].start 5113.56096875
transcript.pyannote[961].end 5115.80534375
transcript.pyannote[962].speaker SPEAKER_13
transcript.pyannote[962].start 5115.95721875
transcript.pyannote[962].end 5117.00346875
transcript.pyannote[963].speaker SPEAKER_13
transcript.pyannote[963].start 5117.35784375
transcript.pyannote[963].end 5118.58971875
transcript.pyannote[964].speaker SPEAKER_13
transcript.pyannote[964].start 5119.58534375
transcript.pyannote[964].end 5120.80034375
transcript.pyannote[965].speaker SPEAKER_13
transcript.pyannote[965].start 5121.67784375
transcript.pyannote[965].end 5123.61846875
transcript.pyannote[966].speaker SPEAKER_13
transcript.pyannote[966].start 5124.19221875
transcript.pyannote[966].end 5126.92596875
transcript.pyannote[967].speaker SPEAKER_13
transcript.pyannote[967].start 5127.36471875
transcript.pyannote[967].end 5130.90846875
transcript.pyannote[968].speaker SPEAKER_13
transcript.pyannote[968].start 5131.85346875
transcript.pyannote[968].end 5132.95034375
transcript.pyannote[969].speaker SPEAKER_13
transcript.pyannote[969].start 5134.33409375
transcript.pyannote[969].end 5135.34659375
transcript.pyannote[970].speaker SPEAKER_13
transcript.pyannote[970].start 5135.63346875
transcript.pyannote[970].end 5137.77659375
transcript.pyannote[971].speaker SPEAKER_13
transcript.pyannote[971].start 5138.33346875
transcript.pyannote[971].end 5147.37846875
transcript.pyannote[972].speaker SPEAKER_13
transcript.pyannote[972].start 5147.68221875
transcript.pyannote[972].end 5148.47534375
transcript.pyannote[973].speaker SPEAKER_13
transcript.pyannote[973].start 5148.93096875
transcript.pyannote[973].end 5152.57596875
transcript.pyannote[974].speaker SPEAKER_13
transcript.pyannote[974].start 5153.11596875
transcript.pyannote[974].end 5159.00534375
transcript.pyannote[975].speaker SPEAKER_13
transcript.pyannote[975].start 5159.35971875
transcript.pyannote[975].end 5161.95846875
transcript.pyannote[976].speaker SPEAKER_13
transcript.pyannote[976].start 5162.49846875
transcript.pyannote[976].end 5164.54034375
transcript.pyannote[977].speaker SPEAKER_13
transcript.pyannote[977].start 5165.19846875
transcript.pyannote[977].end 5167.71284375
transcript.pyannote[978].speaker SPEAKER_13
transcript.pyannote[978].start 5168.40471875
transcript.pyannote[978].end 5170.34534375
transcript.pyannote[979].speaker SPEAKER_13
transcript.pyannote[979].start 5170.61534375
transcript.pyannote[979].end 5173.41659375
transcript.pyannote[980].speaker SPEAKER_13
transcript.pyannote[980].start 5173.99034375
transcript.pyannote[980].end 5175.27284375
transcript.pyannote[981].speaker SPEAKER_13
transcript.pyannote[981].start 5175.79596875
transcript.pyannote[981].end 5177.07846875
transcript.pyannote[982].speaker SPEAKER_13
transcript.pyannote[982].start 5177.19659375
transcript.pyannote[982].end 5179.57596875
transcript.pyannote[983].speaker SPEAKER_13
transcript.pyannote[983].start 5180.14971875
transcript.pyannote[983].end 5182.41096875
transcript.pyannote[984].speaker SPEAKER_13
transcript.pyannote[984].start 5182.95096875
transcript.pyannote[984].end 5185.29659375
transcript.pyannote[985].speaker SPEAKER_13
transcript.pyannote[985].start 5185.70159375
transcript.pyannote[985].end 5187.38909375
transcript.pyannote[986].speaker SPEAKER_13
transcript.pyannote[986].start 5187.91221875
transcript.pyannote[986].end 5190.22409375
transcript.pyannote[987].speaker SPEAKER_13
transcript.pyannote[987].start 5190.62909375
transcript.pyannote[987].end 5191.81034375
transcript.pyannote[988].speaker SPEAKER_13
transcript.pyannote[988].start 5192.56971875
transcript.pyannote[988].end 5194.81409375
transcript.pyannote[989].speaker SPEAKER_13
transcript.pyannote[989].start 5195.06721875
transcript.pyannote[989].end 5196.36659375
transcript.pyannote[990].speaker SPEAKER_13
transcript.pyannote[990].start 5196.70409375
transcript.pyannote[990].end 5198.08784375
transcript.pyannote[991].speaker SPEAKER_13
transcript.pyannote[991].start 5198.40846875
transcript.pyannote[991].end 5199.65721875
transcript.pyannote[992].speaker SPEAKER_13
transcript.pyannote[992].start 5200.83846875
transcript.pyannote[992].end 5203.15034375
transcript.pyannote[993].speaker SPEAKER_13
transcript.pyannote[993].start 5203.74096875
transcript.pyannote[993].end 5207.40284375
transcript.pyannote[994].speaker SPEAKER_08
transcript.pyannote[994].start 5207.67284375
transcript.pyannote[994].end 5207.84159375
transcript.pyannote[995].speaker SPEAKER_13
transcript.pyannote[995].start 5207.84159375
transcript.pyannote[995].end 5212.36409375
transcript.pyannote[996].speaker SPEAKER_13
transcript.pyannote[996].start 5212.54971875
transcript.pyannote[996].end 5215.90784375
transcript.pyannote[997].speaker SPEAKER_13
transcript.pyannote[997].start 5216.26221875
transcript.pyannote[997].end 5219.04659375
transcript.pyannote[998].speaker SPEAKER_13
transcript.pyannote[998].start 5219.67096875
transcript.pyannote[998].end 5222.96159375
transcript.pyannote[999].speaker SPEAKER_13
transcript.pyannote[999].start 5223.19784375
transcript.pyannote[999].end 5226.04971875
transcript.pyannote[1000].speaker SPEAKER_08
transcript.pyannote[1000].start 5226.20159375
transcript.pyannote[1000].end 5226.53909375
transcript.pyannote[1001].speaker SPEAKER_13
transcript.pyannote[1001].start 5226.53909375
transcript.pyannote[1001].end 5228.81721875
transcript.pyannote[1002].speaker SPEAKER_13
transcript.pyannote[1002].start 5229.13784375
transcript.pyannote[1002].end 5232.05721875
transcript.pyannote[1003].speaker SPEAKER_08
transcript.pyannote[1003].start 5232.24284375
transcript.pyannote[1003].end 5232.42846875
transcript.pyannote[1004].speaker SPEAKER_13
transcript.pyannote[1004].start 5232.63096875
transcript.pyannote[1004].end 5235.19596875
transcript.pyannote[1005].speaker SPEAKER_13
transcript.pyannote[1005].start 5235.39846875
transcript.pyannote[1005].end 5239.87034375
transcript.pyannote[1006].speaker SPEAKER_13
transcript.pyannote[1006].start 5240.05596875
transcript.pyannote[1006].end 5245.37159375
transcript.pyannote[1007].speaker SPEAKER_04
transcript.pyannote[1007].start 5244.83159375
transcript.pyannote[1007].end 5251.91909375
transcript.pyannote[1008].speaker SPEAKER_04
transcript.pyannote[1008].start 5252.13846875
transcript.pyannote[1008].end 5254.97346875
transcript.pyannote[1009].speaker SPEAKER_04
transcript.pyannote[1009].start 5255.41221875
transcript.pyannote[1009].end 5256.01971875
transcript.pyannote[1010].speaker SPEAKER_04
transcript.pyannote[1010].start 5256.50909375
transcript.pyannote[1010].end 5258.88846875
transcript.pyannote[1011].speaker SPEAKER_04
transcript.pyannote[1011].start 5259.34409375
transcript.pyannote[1011].end 5261.16659375
transcript.pyannote[1012].speaker SPEAKER_04
transcript.pyannote[1012].start 5261.20034375
transcript.pyannote[1012].end 5263.63034375
transcript.pyannote[1013].speaker SPEAKER_04
transcript.pyannote[1013].start 5264.64284375
transcript.pyannote[1013].end 5267.12346875
transcript.pyannote[1014].speaker SPEAKER_04
transcript.pyannote[1014].start 5268.05159375
transcript.pyannote[1014].end 5268.62534375
transcript.pyannote[1015].speaker SPEAKER_04
transcript.pyannote[1015].start 5268.81096875
transcript.pyannote[1015].end 5275.78034375
transcript.pyannote[1016].speaker SPEAKER_13
transcript.pyannote[1016].start 5270.86971875
transcript.pyannote[1016].end 5271.62909375
transcript.pyannote[1017].speaker SPEAKER_13
transcript.pyannote[1017].start 5272.92846875
transcript.pyannote[1017].end 5273.50221875
transcript.pyannote[1018].speaker SPEAKER_13
transcript.pyannote[1018].start 5275.78034375
transcript.pyannote[1018].end 5279.71221875
transcript.pyannote[1019].speaker SPEAKER_04
transcript.pyannote[1019].start 5275.88159375
transcript.pyannote[1019].end 5276.70846875
transcript.pyannote[1020].speaker SPEAKER_13
transcript.pyannote[1020].start 5279.79659375
transcript.pyannote[1020].end 5288.48721875
transcript.pyannote[1021].speaker SPEAKER_13
transcript.pyannote[1021].start 5288.84159375
transcript.pyannote[1021].end 5289.80346875
transcript.pyannote[1022].speaker SPEAKER_13
transcript.pyannote[1022].start 5290.17471875
transcript.pyannote[1022].end 5291.47409375
transcript.pyannote[1023].speaker SPEAKER_13
transcript.pyannote[1023].start 5292.06471875
transcript.pyannote[1023].end 5293.87034375
transcript.pyannote[1024].speaker SPEAKER_13
transcript.pyannote[1024].start 5294.61284375
transcript.pyannote[1024].end 5309.49659375
transcript.pyannote[1025].speaker SPEAKER_13
transcript.pyannote[1025].start 5309.68221875
transcript.pyannote[1025].end 5312.33159375
transcript.pyannote[1026].speaker SPEAKER_11
transcript.pyannote[1026].start 5312.33159375
transcript.pyannote[1026].end 5312.95596875
transcript.pyannote[1027].speaker SPEAKER_13
transcript.pyannote[1027].start 5312.95596875
transcript.pyannote[1027].end 5315.30159375
transcript.pyannote[1028].speaker SPEAKER_13
transcript.pyannote[1028].start 5315.62221875
transcript.pyannote[1028].end 5319.68909375
transcript.pyannote[1029].speaker SPEAKER_13
transcript.pyannote[1029].start 5320.16159375
transcript.pyannote[1029].end 5322.65909375
transcript.pyannote[1030].speaker SPEAKER_13
transcript.pyannote[1030].start 5322.92909375
transcript.pyannote[1030].end 5324.81909375
transcript.pyannote[1031].speaker SPEAKER_13
transcript.pyannote[1031].start 5325.24096875
transcript.pyannote[1031].end 5326.33784375
transcript.pyannote[1032].speaker SPEAKER_13
transcript.pyannote[1032].start 5327.48534375
transcript.pyannote[1032].end 5328.64971875
transcript.pyannote[1033].speaker SPEAKER_13
transcript.pyannote[1033].start 5329.22346875
transcript.pyannote[1033].end 5333.62784375
transcript.pyannote[1034].speaker SPEAKER_08
transcript.pyannote[1034].start 5331.55221875
transcript.pyannote[1034].end 5331.58596875
transcript.pyannote[1035].speaker SPEAKER_08
transcript.pyannote[1035].start 5331.60284375
transcript.pyannote[1035].end 5331.65346875
transcript.pyannote[1036].speaker SPEAKER_13
transcript.pyannote[1036].start 5333.86409375
transcript.pyannote[1036].end 5335.41659375
transcript.pyannote[1037].speaker SPEAKER_08
transcript.pyannote[1037].start 5335.41659375
transcript.pyannote[1037].end 5335.77096875
transcript.pyannote[1038].speaker SPEAKER_13
transcript.pyannote[1038].start 5335.77096875
transcript.pyannote[1038].end 5344.02284375
transcript.pyannote[1039].speaker SPEAKER_13
transcript.pyannote[1039].start 5344.73159375
transcript.pyannote[1039].end 5348.91659375
transcript.pyannote[1040].speaker SPEAKER_13
transcript.pyannote[1040].start 5349.18659375
transcript.pyannote[1040].end 5353.99596875
transcript.pyannote[1041].speaker SPEAKER_13
transcript.pyannote[1041].start 5354.26596875
transcript.pyannote[1041].end 5359.04159375
transcript.pyannote[1042].speaker SPEAKER_13
transcript.pyannote[1042].start 5359.93596875
transcript.pyannote[1042].end 5361.23534375
transcript.pyannote[1043].speaker SPEAKER_13
transcript.pyannote[1043].start 5361.52221875
transcript.pyannote[1043].end 5369.65596875
transcript.pyannote[1044].speaker SPEAKER_13
transcript.pyannote[1044].start 5370.04409375
transcript.pyannote[1044].end 5371.19159375
transcript.pyannote[1045].speaker SPEAKER_13
transcript.pyannote[1045].start 5371.44471875
transcript.pyannote[1045].end 5373.16596875
transcript.pyannote[1046].speaker SPEAKER_13
transcript.pyannote[1046].start 5373.57096875
transcript.pyannote[1046].end 5375.44409375
transcript.pyannote[1047].speaker SPEAKER_13
transcript.pyannote[1047].start 5375.86596875
transcript.pyannote[1047].end 5378.17784375
transcript.pyannote[1048].speaker SPEAKER_13
transcript.pyannote[1048].start 5378.41409375
transcript.pyannote[1048].end 5383.42596875
transcript.pyannote[1049].speaker SPEAKER_13
transcript.pyannote[1049].start 5384.25284375
transcript.pyannote[1049].end 5388.85971875
transcript.pyannote[1050].speaker SPEAKER_13
transcript.pyannote[1050].start 5389.56846875
transcript.pyannote[1050].end 5390.91846875
transcript.pyannote[1051].speaker SPEAKER_13
transcript.pyannote[1051].start 5391.32346875
transcript.pyannote[1051].end 5394.76596875
transcript.pyannote[1052].speaker SPEAKER_13
transcript.pyannote[1052].start 5395.22159375
transcript.pyannote[1052].end 5402.79846875
transcript.pyannote[1053].speaker SPEAKER_13
transcript.pyannote[1053].start 5403.10221875
transcript.pyannote[1053].end 5405.22846875
transcript.pyannote[1054].speaker SPEAKER_13
transcript.pyannote[1054].start 5405.73471875
transcript.pyannote[1054].end 5406.71346875
transcript.pyannote[1055].speaker SPEAKER_04
transcript.pyannote[1055].start 5406.96659375
transcript.pyannote[1055].end 5409.48096875
transcript.pyannote[1056].speaker SPEAKER_04
transcript.pyannote[1056].start 5409.80159375
transcript.pyannote[1056].end 5415.52221875
transcript.pyannote[1057].speaker SPEAKER_04
transcript.pyannote[1057].start 5416.19721875
transcript.pyannote[1057].end 5416.38284375
transcript.pyannote[1058].speaker SPEAKER_04
transcript.pyannote[1058].start 5416.87221875
transcript.pyannote[1058].end 5418.49221875
transcript.pyannote[1059].speaker SPEAKER_04
transcript.pyannote[1059].start 5419.13346875
transcript.pyannote[1059].end 5421.83346875
transcript.pyannote[1060].speaker SPEAKER_04
transcript.pyannote[1060].start 5422.37346875
transcript.pyannote[1060].end 5426.28846875
transcript.pyannote[1061].speaker SPEAKER_04
transcript.pyannote[1061].start 5426.35596875
transcript.pyannote[1061].end 5432.34659375
transcript.pyannote[1062].speaker SPEAKER_04
transcript.pyannote[1062].start 5432.95409375
transcript.pyannote[1062].end 5433.59534375
transcript.pyannote[1063].speaker SPEAKER_04
transcript.pyannote[1063].start 5434.01721875
transcript.pyannote[1063].end 5437.84784375
transcript.pyannote[1064].speaker SPEAKER_04
transcript.pyannote[1064].start 5438.10096875
transcript.pyannote[1064].end 5447.34846875
transcript.pyannote[1065].speaker SPEAKER_08
transcript.pyannote[1065].start 5438.47221875
transcript.pyannote[1065].end 5438.53971875
transcript.pyannote[1066].speaker SPEAKER_23
transcript.pyannote[1066].start 5438.53971875
transcript.pyannote[1066].end 5438.55659375
transcript.pyannote[1067].speaker SPEAKER_04
transcript.pyannote[1067].start 5447.41596875
transcript.pyannote[1067].end 5451.85409375
transcript.pyannote[1068].speaker SPEAKER_04
transcript.pyannote[1068].start 5451.93846875
transcript.pyannote[1068].end 5456.14034375
transcript.pyannote[1069].speaker SPEAKER_13
transcript.pyannote[1069].start 5456.27534375
transcript.pyannote[1069].end 5456.62971875
transcript.pyannote[1070].speaker SPEAKER_13
transcript.pyannote[1070].start 5457.15284375
transcript.pyannote[1070].end 5465.75909375
transcript.pyannote[1071].speaker SPEAKER_13
transcript.pyannote[1071].start 5465.97846875
transcript.pyannote[1071].end 5470.75409375
transcript.pyannote[1072].speaker SPEAKER_13
transcript.pyannote[1072].start 5471.44596875
transcript.pyannote[1072].end 5472.35721875
transcript.pyannote[1073].speaker SPEAKER_13
transcript.pyannote[1073].start 5472.74534375
transcript.pyannote[1073].end 5474.38221875
transcript.pyannote[1074].speaker SPEAKER_13
transcript.pyannote[1074].start 5475.19221875
transcript.pyannote[1074].end 5476.13721875
transcript.pyannote[1075].speaker SPEAKER_13
transcript.pyannote[1075].start 5476.60971875
transcript.pyannote[1075].end 5478.95534375
transcript.pyannote[1076].speaker SPEAKER_13
transcript.pyannote[1076].start 5479.34346875
transcript.pyannote[1076].end 5482.76909375
transcript.pyannote[1077].speaker SPEAKER_13
transcript.pyannote[1077].start 5483.10659375
transcript.pyannote[1077].end 5483.66346875
transcript.pyannote[1078].speaker SPEAKER_13
transcript.pyannote[1078].start 5484.45659375
transcript.pyannote[1078].end 5497.39971875
transcript.pyannote[1079].speaker SPEAKER_08
transcript.pyannote[1079].start 5491.39221875
transcript.pyannote[1079].end 5491.40909375
transcript.pyannote[1080].speaker SPEAKER_04
transcript.pyannote[1080].start 5491.40909375
transcript.pyannote[1080].end 5491.83096875
transcript.pyannote[1081].speaker SPEAKER_18
transcript.pyannote[1081].start 5496.37034375
transcript.pyannote[1081].end 5496.43784375
transcript.pyannote[1082].speaker SPEAKER_04
transcript.pyannote[1082].start 5496.43784375
transcript.pyannote[1082].end 5496.85971875
transcript.pyannote[1083].speaker SPEAKER_04
transcript.pyannote[1083].start 5497.39971875
transcript.pyannote[1083].end 5497.93971875
transcript.pyannote[1084].speaker SPEAKER_18
transcript.pyannote[1084].start 5498.44596875
transcript.pyannote[1084].end 5501.09534375
transcript.pyannote[1085].speaker SPEAKER_18
transcript.pyannote[1085].start 5501.48346875
transcript.pyannote[1085].end 5501.73659375
transcript.pyannote[1086].speaker SPEAKER_18
transcript.pyannote[1086].start 5502.29346875
transcript.pyannote[1086].end 5503.03596875
transcript.pyannote[1087].speaker SPEAKER_13
transcript.pyannote[1087].start 5512.65471875
transcript.pyannote[1087].end 5514.30846875
transcript.pyannote[1088].speaker SPEAKER_13
transcript.pyannote[1088].start 5515.23659375
transcript.pyannote[1088].end 5516.11409375
transcript.pyannote[1089].speaker SPEAKER_13
transcript.pyannote[1089].start 5516.33346875
transcript.pyannote[1089].end 5516.95784375
transcript.pyannote[1090].speaker SPEAKER_18
transcript.pyannote[1090].start 5519.99534375
transcript.pyannote[1090].end 5521.96971875
transcript.pyannote[1091].speaker SPEAKER_18
transcript.pyannote[1091].start 5524.39971875
transcript.pyannote[1091].end 5525.12534375
transcript.pyannote[1092].speaker SPEAKER_13
transcript.pyannote[1092].start 5525.12534375
transcript.pyannote[1092].end 5525.56409375
transcript.pyannote[1093].speaker SPEAKER_18
transcript.pyannote[1093].start 5525.56409375
transcript.pyannote[1093].end 5525.59784375
transcript.pyannote[1094].speaker SPEAKER_18
transcript.pyannote[1094].start 5528.66909375
transcript.pyannote[1094].end 5529.14159375
transcript.pyannote[1095].speaker SPEAKER_18
transcript.pyannote[1095].start 5530.15409375
transcript.pyannote[1095].end 5552.17596875
transcript.pyannote[1096].speaker SPEAKER_13
transcript.pyannote[1096].start 5530.74471875
transcript.pyannote[1096].end 5530.77846875
transcript.pyannote[1097].speaker SPEAKER_08
transcript.pyannote[1097].start 5530.77846875
transcript.pyannote[1097].end 5531.74034375
transcript.pyannote[1098].speaker SPEAKER_13
transcript.pyannote[1098].start 5531.74034375
transcript.pyannote[1098].end 5531.97659375
transcript.pyannote[1099].speaker SPEAKER_08
transcript.pyannote[1099].start 5532.14534375
transcript.pyannote[1099].end 5532.36471875
transcript.pyannote[1100].speaker SPEAKER_18
transcript.pyannote[1100].start 5552.68221875
transcript.pyannote[1100].end 5578.53471875
transcript.pyannote[1101].speaker SPEAKER_18
transcript.pyannote[1101].start 5578.56846875
transcript.pyannote[1101].end 5601.58596875
transcript.pyannote[1102].speaker SPEAKER_18
transcript.pyannote[1102].start 5602.22721875
transcript.pyannote[1102].end 5617.56659375
transcript.pyannote[1103].speaker SPEAKER_18
transcript.pyannote[1103].start 5618.66346875
transcript.pyannote[1103].end 5638.25534375
transcript.pyannote[1104].speaker SPEAKER_18
transcript.pyannote[1104].start 5639.09909375
transcript.pyannote[1104].end 5640.88784375
transcript.pyannote[1105].speaker SPEAKER_18
transcript.pyannote[1105].start 5642.20409375
transcript.pyannote[1105].end 5643.19971875
transcript.pyannote[1106].speaker SPEAKER_15
transcript.pyannote[1106].start 5642.33909375
transcript.pyannote[1106].end 5642.52471875
transcript.pyannote[1107].speaker SPEAKER_18
transcript.pyannote[1107].start 5644.00971875
transcript.pyannote[1107].end 5648.43096875
transcript.pyannote[1108].speaker SPEAKER_18
transcript.pyannote[1108].start 5648.44784375
transcript.pyannote[1108].end 5706.68346875
transcript.pyannote[1109].speaker SPEAKER_04
transcript.pyannote[1109].start 5706.78471875
transcript.pyannote[1109].end 5707.03784375
transcript.pyannote[1110].speaker SPEAKER_04
transcript.pyannote[1110].start 5707.79721875
transcript.pyannote[1110].end 5711.57721875
transcript.pyannote[1111].speaker SPEAKER_04
transcript.pyannote[1111].start 5712.45471875
transcript.pyannote[1111].end 5713.12971875
transcript.pyannote[1112].speaker SPEAKER_18
transcript.pyannote[1112].start 5712.48846875
transcript.pyannote[1112].end 5722.34346875
transcript.pyannote[1113].speaker SPEAKER_18
transcript.pyannote[1113].start 5722.90034375
transcript.pyannote[1113].end 5726.78159375
transcript.pyannote[1114].speaker SPEAKER_04
transcript.pyannote[1114].start 5727.10221875
transcript.pyannote[1114].end 5729.00909375
transcript.pyannote[1115].speaker SPEAKER_04
transcript.pyannote[1115].start 5729.61659375
transcript.pyannote[1115].end 5732.02971875
transcript.pyannote[1116].speaker SPEAKER_04
transcript.pyannote[1116].start 5732.83971875
transcript.pyannote[1116].end 5734.15596875
transcript.pyannote[1117].speaker SPEAKER_04
transcript.pyannote[1117].start 5734.40909375
transcript.pyannote[1117].end 5735.05034375
transcript.pyannote[1118].speaker SPEAKER_04
transcript.pyannote[1118].start 5736.11346875
transcript.pyannote[1118].end 5737.19346875
transcript.pyannote[1119].speaker SPEAKER_04
transcript.pyannote[1119].start 5737.83471875
transcript.pyannote[1119].end 5739.62346875
transcript.pyannote[1120].speaker SPEAKER_04
transcript.pyannote[1120].start 5740.04534375
transcript.pyannote[1120].end 5741.29409375
transcript.pyannote[1121].speaker SPEAKER_04
transcript.pyannote[1121].start 5742.12096875
transcript.pyannote[1121].end 5746.03596875
transcript.pyannote[1122].speaker SPEAKER_04
transcript.pyannote[1122].start 5746.22159375
transcript.pyannote[1122].end 5748.16221875
transcript.pyannote[1123].speaker SPEAKER_04
transcript.pyannote[1123].start 5749.49534375
transcript.pyannote[1123].end 5753.61284375
transcript.pyannote[1124].speaker SPEAKER_04
transcript.pyannote[1124].start 5753.96721875
transcript.pyannote[1124].end 5755.80659375
transcript.pyannote[1125].speaker SPEAKER_04
transcript.pyannote[1125].start 5757.10596875
transcript.pyannote[1125].end 5761.62846875
transcript.pyannote[1126].speaker SPEAKER_04
transcript.pyannote[1126].start 5761.99971875
transcript.pyannote[1126].end 5763.72096875
transcript.pyannote[1127].speaker SPEAKER_04
transcript.pyannote[1127].start 5764.19346875
transcript.pyannote[1127].end 5765.74596875
transcript.pyannote[1128].speaker SPEAKER_04
transcript.pyannote[1128].start 5766.18471875
transcript.pyannote[1128].end 5768.53034375
transcript.pyannote[1129].speaker SPEAKER_04
transcript.pyannote[1129].start 5768.98596875
transcript.pyannote[1129].end 5770.25159375
transcript.pyannote[1130].speaker SPEAKER_04
transcript.pyannote[1130].start 5770.43721875
transcript.pyannote[1130].end 5771.70284375
transcript.pyannote[1131].speaker SPEAKER_04
transcript.pyannote[1131].start 5772.27659375
transcript.pyannote[1131].end 5774.72346875
transcript.pyannote[1132].speaker SPEAKER_04
transcript.pyannote[1132].start 5775.60096875
transcript.pyannote[1132].end 5777.81159375
transcript.pyannote[1133].speaker SPEAKER_04
transcript.pyannote[1133].start 5778.36846875
transcript.pyannote[1133].end 5781.69284375
transcript.pyannote[1134].speaker SPEAKER_04
transcript.pyannote[1134].start 5782.08096875
transcript.pyannote[1134].end 5786.09721875
transcript.pyannote[1135].speaker SPEAKER_04
transcript.pyannote[1135].start 5787.16034375
transcript.pyannote[1135].end 5787.86909375
transcript.pyannote[1136].speaker SPEAKER_04
transcript.pyannote[1136].start 5788.18971875
transcript.pyannote[1136].end 5790.99096875
transcript.pyannote[1137].speaker SPEAKER_04
transcript.pyannote[1137].start 5792.89784375
transcript.pyannote[1137].end 5794.38284375
transcript.pyannote[1138].speaker SPEAKER_08
transcript.pyannote[1138].start 5794.70346875
transcript.pyannote[1138].end 5795.02409375
transcript.pyannote[1139].speaker SPEAKER_04
transcript.pyannote[1139].start 5795.81721875
transcript.pyannote[1139].end 5797.16721875
transcript.pyannote[1140].speaker SPEAKER_04
transcript.pyannote[1140].start 5798.78721875
transcript.pyannote[1140].end 5800.08659375
transcript.pyannote[1141].speaker SPEAKER_04
transcript.pyannote[1141].start 5800.64346875
transcript.pyannote[1141].end 5801.23409375
transcript.pyannote[1142].speaker SPEAKER_04
transcript.pyannote[1142].start 5801.55471875
transcript.pyannote[1142].end 5803.29284375
transcript.pyannote[1143].speaker SPEAKER_04
transcript.pyannote[1143].start 5806.85346875
transcript.pyannote[1143].end 5807.42721875
transcript.pyannote[1144].speaker SPEAKER_04
transcript.pyannote[1144].start 5808.10221875
transcript.pyannote[1144].end 5809.62096875
transcript.pyannote[1145].speaker SPEAKER_04
transcript.pyannote[1145].start 5810.09346875
transcript.pyannote[1145].end 5811.54471875
transcript.pyannote[1146].speaker SPEAKER_04
transcript.pyannote[1146].start 5811.67971875
transcript.pyannote[1146].end 5812.82721875
transcript.pyannote[1147].speaker SPEAKER_04
transcript.pyannote[1147].start 5813.77221875
transcript.pyannote[1147].end 5814.59909375
transcript.pyannote[1148].speaker SPEAKER_04
transcript.pyannote[1148].start 5814.80159375
transcript.pyannote[1148].end 5815.79721875
transcript.pyannote[1149].speaker SPEAKER_04
transcript.pyannote[1149].start 5815.99971875
transcript.pyannote[1149].end 5822.83409375
transcript.pyannote[1150].speaker SPEAKER_04
transcript.pyannote[1150].start 5823.81284375
transcript.pyannote[1150].end 5825.46659375
transcript.pyannote[1151].speaker SPEAKER_18
transcript.pyannote[1151].start 5823.82971875
transcript.pyannote[1151].end 5869.42596875
transcript.pyannote[1152].speaker SPEAKER_04
transcript.pyannote[1152].start 5827.08659375
transcript.pyannote[1152].end 5829.02721875
transcript.pyannote[1153].speaker SPEAKER_08
transcript.pyannote[1153].start 5829.02721875
transcript.pyannote[1153].end 5829.17909375
transcript.pyannote[1154].speaker SPEAKER_04
transcript.pyannote[1154].start 5829.17909375
transcript.pyannote[1154].end 5829.28034375
transcript.pyannote[1155].speaker SPEAKER_18
transcript.pyannote[1155].start 5869.62846875
transcript.pyannote[1155].end 5882.11596875
transcript.pyannote[1156].speaker SPEAKER_04
transcript.pyannote[1156].start 5883.04409375
transcript.pyannote[1156].end 5888.17409375
transcript.pyannote[1157].speaker SPEAKER_04
transcript.pyannote[1157].start 5888.89971875
transcript.pyannote[1157].end 5889.55784375
transcript.pyannote[1158].speaker SPEAKER_18
transcript.pyannote[1158].start 5888.95034375
transcript.pyannote[1158].end 5890.14846875
transcript.pyannote[1159].speaker SPEAKER_18
transcript.pyannote[1159].start 5890.73909375
transcript.pyannote[1159].end 5894.29971875
transcript.pyannote[1160].speaker SPEAKER_04
transcript.pyannote[1160].start 5892.73034375
transcript.pyannote[1160].end 5895.54846875
transcript.pyannote[1161].speaker SPEAKER_04
transcript.pyannote[1161].start 5896.37534375
transcript.pyannote[1161].end 5897.03346875
transcript.pyannote[1162].speaker SPEAKER_18
transcript.pyannote[1162].start 5896.84784375
transcript.pyannote[1162].end 5899.66596875
transcript.pyannote[1163].speaker SPEAKER_04
transcript.pyannote[1163].start 5897.62409375
transcript.pyannote[1163].end 5906.07846875
transcript.pyannote[1164].speaker SPEAKER_18
transcript.pyannote[1164].start 5906.19659375
transcript.pyannote[1164].end 5920.62471875
transcript.pyannote[1165].speaker SPEAKER_04
transcript.pyannote[1165].start 5907.64784375
transcript.pyannote[1165].end 5908.91346875
transcript.pyannote[1166].speaker SPEAKER_04
transcript.pyannote[1166].start 5921.04659375
transcript.pyannote[1166].end 5924.65784375
transcript.pyannote[1167].speaker SPEAKER_18
transcript.pyannote[1167].start 5923.57784375
transcript.pyannote[1167].end 5924.06721875
transcript.pyannote[1168].speaker SPEAKER_18
transcript.pyannote[1168].start 5924.60721875
transcript.pyannote[1168].end 5971.99221875
transcript.pyannote[1169].speaker SPEAKER_18
transcript.pyannote[1169].start 5972.16096875
transcript.pyannote[1169].end 5973.91596875
transcript.pyannote[1170].speaker SPEAKER_18
transcript.pyannote[1170].start 5974.11846875
transcript.pyannote[1170].end 6001.18596875
transcript.pyannote[1171].speaker SPEAKER_08
transcript.pyannote[1171].start 5998.60409375
transcript.pyannote[1171].end 6001.54034375
transcript.pyannote[1172].speaker SPEAKER_18
transcript.pyannote[1172].start 6002.56971875
transcript.pyannote[1172].end 6002.58659375
transcript.pyannote[1173].speaker SPEAKER_13
transcript.pyannote[1173].start 6002.58659375
transcript.pyannote[1173].end 6005.03346875
transcript.pyannote[1174].speaker SPEAKER_13
transcript.pyannote[1174].start 6005.30346875
transcript.pyannote[1174].end 6006.97409375
transcript.pyannote[1175].speaker SPEAKER_13
transcript.pyannote[1175].start 6007.69971875
transcript.pyannote[1175].end 6010.68659375
transcript.pyannote[1176].speaker SPEAKER_13
transcript.pyannote[1176].start 6012.81284375
transcript.pyannote[1176].end 6015.05721875
transcript.pyannote[1177].speaker SPEAKER_08
transcript.pyannote[1177].start 6016.33971875
transcript.pyannote[1177].end 6016.49159375
transcript.pyannote[1178].speaker SPEAKER_20
transcript.pyannote[1178].start 6020.40659375
transcript.pyannote[1178].end 6025.19909375
transcript.pyannote[1179].speaker SPEAKER_13
transcript.pyannote[1179].start 6026.11034375
transcript.pyannote[1179].end 6027.91596875
transcript.pyannote[1180].speaker SPEAKER_20
transcript.pyannote[1180].start 6030.46409375
transcript.pyannote[1180].end 6037.28159375
transcript.pyannote[1181].speaker SPEAKER_08
transcript.pyannote[1181].start 6035.42534375
transcript.pyannote[1181].end 6035.45909375
transcript.pyannote[1182].speaker SPEAKER_13
transcript.pyannote[1182].start 6035.45909375
transcript.pyannote[1182].end 6035.49284375
transcript.pyannote[1183].speaker SPEAKER_08
transcript.pyannote[1183].start 6035.49284375
transcript.pyannote[1183].end 6035.86409375
transcript.pyannote[1184].speaker SPEAKER_20
transcript.pyannote[1184].start 6037.63596875
transcript.pyannote[1184].end 6044.55471875
transcript.pyannote[1185].speaker SPEAKER_20
transcript.pyannote[1185].start 6044.85846875
transcript.pyannote[1185].end 6053.04284375
transcript.pyannote[1186].speaker SPEAKER_20
transcript.pyannote[1186].start 6053.24534375
transcript.pyannote[1186].end 6062.74596875
transcript.pyannote[1187].speaker SPEAKER_20
transcript.pyannote[1187].start 6063.85971875
transcript.pyannote[1187].end 6064.01159375
transcript.pyannote[1188].speaker SPEAKER_20
transcript.pyannote[1188].start 6064.36596875
transcript.pyannote[1188].end 6078.54096875
transcript.pyannote[1189].speaker SPEAKER_20
transcript.pyannote[1189].start 6079.33409375
transcript.pyannote[1189].end 6079.94159375
transcript.pyannote[1190].speaker SPEAKER_20
transcript.pyannote[1190].start 6080.19471875
transcript.pyannote[1190].end 6087.14721875
transcript.pyannote[1191].speaker SPEAKER_20
transcript.pyannote[1191].start 6087.46784375
transcript.pyannote[1191].end 6091.18034375
transcript.pyannote[1192].speaker SPEAKER_20
transcript.pyannote[1192].start 6091.36596875
transcript.pyannote[1192].end 6093.79596875
transcript.pyannote[1193].speaker SPEAKER_20
transcript.pyannote[1193].start 6094.25159375
transcript.pyannote[1193].end 6097.05284375
transcript.pyannote[1194].speaker SPEAKER_20
transcript.pyannote[1194].start 6097.12034375
transcript.pyannote[1194].end 6098.47034375
transcript.pyannote[1195].speaker SPEAKER_20
transcript.pyannote[1195].start 6098.97659375
transcript.pyannote[1195].end 6102.04784375
transcript.pyannote[1196].speaker SPEAKER_20
transcript.pyannote[1196].start 6102.38534375
transcript.pyannote[1196].end 6114.43409375
transcript.pyannote[1197].speaker SPEAKER_04
transcript.pyannote[1197].start 6114.43409375
transcript.pyannote[1197].end 6115.27784375
transcript.pyannote[1198].speaker SPEAKER_20
transcript.pyannote[1198].start 6114.53534375
transcript.pyannote[1198].end 6114.56909375
transcript.pyannote[1199].speaker SPEAKER_20
transcript.pyannote[1199].start 6115.31159375
transcript.pyannote[1199].end 6116.20596875
transcript.pyannote[1200].speaker SPEAKER_20
transcript.pyannote[1200].start 6116.84721875
transcript.pyannote[1200].end 6122.68596875
transcript.pyannote[1201].speaker SPEAKER_20
transcript.pyannote[1201].start 6123.74909375
transcript.pyannote[1201].end 6128.27159375
transcript.pyannote[1202].speaker SPEAKER_04
transcript.pyannote[1202].start 6130.56659375
transcript.pyannote[1202].end 6132.05159375
transcript.pyannote[1203].speaker SPEAKER_20
transcript.pyannote[1203].start 6134.11034375
transcript.pyannote[1203].end 6136.65846875
transcript.pyannote[1204].speaker SPEAKER_20
transcript.pyannote[1204].start 6137.40096875
transcript.pyannote[1204].end 6139.20659375
transcript.pyannote[1205].speaker SPEAKER_20
transcript.pyannote[1205].start 6140.01659375
transcript.pyannote[1205].end 6142.93596875
transcript.pyannote[1206].speaker SPEAKER_20
transcript.pyannote[1206].start 6143.40846875
transcript.pyannote[1206].end 6146.34471875
transcript.pyannote[1207].speaker SPEAKER_08
transcript.pyannote[1207].start 6146.34471875
transcript.pyannote[1207].end 6146.64846875
transcript.pyannote[1208].speaker SPEAKER_20
transcript.pyannote[1208].start 6146.58096875
transcript.pyannote[1208].end 6152.67284375
transcript.pyannote[1209].speaker SPEAKER_08
transcript.pyannote[1209].start 6153.11159375
transcript.pyannote[1209].end 6153.48284375
transcript.pyannote[1210].speaker SPEAKER_20
transcript.pyannote[1210].start 6153.48284375
transcript.pyannote[1210].end 6158.03909375
transcript.pyannote[1211].speaker SPEAKER_20
transcript.pyannote[1211].start 6158.61284375
transcript.pyannote[1211].end 6176.56784375
transcript.pyannote[1212].speaker SPEAKER_20
transcript.pyannote[1212].start 6176.93909375
transcript.pyannote[1212].end 6192.05909375
transcript.pyannote[1213].speaker SPEAKER_20
transcript.pyannote[1213].start 6193.03784375
transcript.pyannote[1213].end 6223.12596875
transcript.pyannote[1214].speaker SPEAKER_20
transcript.pyannote[1214].start 6223.76721875
transcript.pyannote[1214].end 6231.83346875
transcript.pyannote[1215].speaker SPEAKER_20
transcript.pyannote[1215].start 6231.95159375
transcript.pyannote[1215].end 6240.37221875
transcript.pyannote[1216].speaker SPEAKER_20
transcript.pyannote[1216].start 6241.08096875
transcript.pyannote[1216].end 6241.63784375
transcript.pyannote[1217].speaker SPEAKER_20
transcript.pyannote[1217].start 6242.12721875
transcript.pyannote[1217].end 6248.20221875
transcript.pyannote[1218].speaker SPEAKER_20
transcript.pyannote[1218].start 6249.01221875
transcript.pyannote[1218].end 6253.43346875
transcript.pyannote[1219].speaker SPEAKER_20
transcript.pyannote[1219].start 6253.92284375
transcript.pyannote[1219].end 6258.44534375
transcript.pyannote[1220].speaker SPEAKER_20
transcript.pyannote[1220].start 6258.96846875
transcript.pyannote[1220].end 6280.26471875
transcript.pyannote[1221].speaker SPEAKER_20
transcript.pyannote[1221].start 6280.63596875
transcript.pyannote[1221].end 6308.47971875
transcript.pyannote[1222].speaker SPEAKER_00
transcript.pyannote[1222].start 6297.88221875
transcript.pyannote[1222].end 6298.03409375
transcript.pyannote[1223].speaker SPEAKER_04
transcript.pyannote[1223].start 6309.77909375
transcript.pyannote[1223].end 6312.09096875
transcript.pyannote[1224].speaker SPEAKER_04
transcript.pyannote[1224].start 6312.96846875
transcript.pyannote[1224].end 6313.62659375
transcript.pyannote[1225].speaker SPEAKER_04
transcript.pyannote[1225].start 6314.06534375
transcript.pyannote[1225].end 6317.11971875
transcript.pyannote[1226].speaker SPEAKER_04
transcript.pyannote[1226].start 6318.23346875
transcript.pyannote[1226].end 6322.73909375
transcript.pyannote[1227].speaker SPEAKER_04
transcript.pyannote[1227].start 6323.14409375
transcript.pyannote[1227].end 6326.45159375
transcript.pyannote[1228].speaker SPEAKER_20
transcript.pyannote[1228].start 6325.70909375
transcript.pyannote[1228].end 6326.33346875
transcript.pyannote[1229].speaker SPEAKER_04
transcript.pyannote[1229].start 6326.89034375
transcript.pyannote[1229].end 6331.46346875
transcript.pyannote[1230].speaker SPEAKER_20
transcript.pyannote[1230].start 6329.32034375
transcript.pyannote[1230].end 6340.01909375
transcript.pyannote[1231].speaker SPEAKER_15
transcript.pyannote[1231].start 6331.86846875
transcript.pyannote[1231].end 6333.23534375
transcript.pyannote[1232].speaker SPEAKER_04
transcript.pyannote[1232].start 6335.41221875
transcript.pyannote[1232].end 6335.85096875
transcript.pyannote[1233].speaker SPEAKER_04
transcript.pyannote[1233].start 6340.01909375
transcript.pyannote[1233].end 6340.03596875
transcript.pyannote[1234].speaker SPEAKER_20
transcript.pyannote[1234].start 6340.03596875
transcript.pyannote[1234].end 6341.08221875
transcript.pyannote[1235].speaker SPEAKER_04
transcript.pyannote[1235].start 6341.08221875
transcript.pyannote[1235].end 6349.99221875
transcript.pyannote[1236].speaker SPEAKER_20
transcript.pyannote[1236].start 6342.24659375
transcript.pyannote[1236].end 6342.61784375
transcript.pyannote[1237].speaker SPEAKER_20
transcript.pyannote[1237].start 6350.68409375
transcript.pyannote[1237].end 6359.56034375
transcript.pyannote[1238].speaker SPEAKER_20
transcript.pyannote[1238].start 6360.11721875
transcript.pyannote[1238].end 6402.69284375
transcript.pyannote[1239].speaker SPEAKER_20
transcript.pyannote[1239].start 6403.03034375
transcript.pyannote[1239].end 6403.46909375
transcript.pyannote[1240].speaker SPEAKER_20
transcript.pyannote[1240].start 6403.99221875
transcript.pyannote[1240].end 6404.39721875
transcript.pyannote[1241].speaker SPEAKER_20
transcript.pyannote[1241].start 6404.78534375
transcript.pyannote[1241].end 6415.56846875
transcript.pyannote[1242].speaker SPEAKER_20
transcript.pyannote[1242].start 6416.17596875
transcript.pyannote[1242].end 6444.49221875
transcript.pyannote[1243].speaker SPEAKER_20
transcript.pyannote[1243].start 6444.72846875
transcript.pyannote[1243].end 6464.43846875
transcript.pyannote[1244].speaker SPEAKER_20
transcript.pyannote[1244].start 6464.87721875
transcript.pyannote[1244].end 6468.85971875
transcript.pyannote[1245].speaker SPEAKER_20
transcript.pyannote[1245].start 6469.29846875
transcript.pyannote[1245].end 6472.72409375
transcript.pyannote[1246].speaker SPEAKER_20
transcript.pyannote[1246].start 6473.07846875
transcript.pyannote[1246].end 6477.97221875
transcript.pyannote[1247].speaker SPEAKER_20
transcript.pyannote[1247].start 6478.79909375
transcript.pyannote[1247].end 6496.02846875
transcript.pyannote[1248].speaker SPEAKER_20
transcript.pyannote[1248].start 6496.23096875
transcript.pyannote[1248].end 6504.38159375
transcript.pyannote[1249].speaker SPEAKER_20
transcript.pyannote[1249].start 6504.71909375
transcript.pyannote[1249].end 6510.22034375
transcript.pyannote[1250].speaker SPEAKER_20
transcript.pyannote[1250].start 6511.01346875
transcript.pyannote[1250].end 6511.48596875
transcript.pyannote[1251].speaker SPEAKER_20
transcript.pyannote[1251].start 6511.70534375
transcript.pyannote[1251].end 6513.98346875
transcript.pyannote[1252].speaker SPEAKER_20
transcript.pyannote[1252].start 6514.18596875
transcript.pyannote[1252].end 6523.24784375
transcript.pyannote[1253].speaker SPEAKER_20
transcript.pyannote[1253].start 6523.68659375
transcript.pyannote[1253].end 6527.04471875
transcript.pyannote[1254].speaker SPEAKER_20
transcript.pyannote[1254].start 6527.21346875
transcript.pyannote[1254].end 6530.80784375
transcript.pyannote[1255].speaker SPEAKER_20
transcript.pyannote[1255].start 6531.17909375
transcript.pyannote[1255].end 6536.12346875
transcript.pyannote[1256].speaker SPEAKER_20
transcript.pyannote[1256].start 6536.24159375
transcript.pyannote[1256].end 6541.50659375
transcript.pyannote[1257].speaker SPEAKER_20
transcript.pyannote[1257].start 6542.43471875
transcript.pyannote[1257].end 6550.09596875
transcript.pyannote[1258].speaker SPEAKER_20
transcript.pyannote[1258].start 6550.34909375
transcript.pyannote[1258].end 6552.64409375
transcript.pyannote[1259].speaker SPEAKER_08
transcript.pyannote[1259].start 6552.64409375
transcript.pyannote[1259].end 6552.66096875
transcript.pyannote[1260].speaker SPEAKER_20
transcript.pyannote[1260].start 6553.18409375
transcript.pyannote[1260].end 6556.06971875
transcript.pyannote[1261].speaker SPEAKER_20
transcript.pyannote[1261].start 6556.84596875
transcript.pyannote[1261].end 6557.28471875
transcript.pyannote[1262].speaker SPEAKER_20
transcript.pyannote[1262].start 6558.60096875
transcript.pyannote[1262].end 6560.82846875
transcript.pyannote[1263].speaker SPEAKER_20
transcript.pyannote[1263].start 6561.58784375
transcript.pyannote[1263].end 6562.81971875
transcript.pyannote[1264].speaker SPEAKER_20
transcript.pyannote[1264].start 6563.41034375
transcript.pyannote[1264].end 6566.22846875
transcript.pyannote[1265].speaker SPEAKER_20
transcript.pyannote[1265].start 6566.48159375
transcript.pyannote[1265].end 6567.22409375
transcript.pyannote[1266].speaker SPEAKER_04
transcript.pyannote[1266].start 6568.77659375
transcript.pyannote[1266].end 6568.79346875
transcript.pyannote[1267].speaker SPEAKER_20
transcript.pyannote[1267].start 6568.79346875
transcript.pyannote[1267].end 6568.94534375
transcript.pyannote[1268].speaker SPEAKER_04
transcript.pyannote[1268].start 6568.82721875
transcript.pyannote[1268].end 6569.38409375
transcript.pyannote[1269].speaker SPEAKER_20
transcript.pyannote[1269].start 6570.54846875
transcript.pyannote[1269].end 6571.64534375
transcript.pyannote[1270].speaker SPEAKER_04
transcript.pyannote[1270].start 6572.48909375
transcript.pyannote[1270].end 6573.11346875
transcript.pyannote[1271].speaker SPEAKER_04
transcript.pyannote[1271].start 6576.89346875
transcript.pyannote[1271].end 6577.83846875
transcript.pyannote[1272].speaker SPEAKER_04
transcript.pyannote[1272].start 6578.24346875
transcript.pyannote[1272].end 6580.45409375
transcript.pyannote[1273].speaker SPEAKER_04
transcript.pyannote[1273].start 6581.33159375
transcript.pyannote[1273].end 6582.71534375
transcript.pyannote[1274].speaker SPEAKER_04
transcript.pyannote[1274].start 6583.28909375
transcript.pyannote[1274].end 6584.06534375
transcript.pyannote[1275].speaker SPEAKER_04
transcript.pyannote[1275].start 6584.87534375
transcript.pyannote[1275].end 6585.46596875
transcript.pyannote[1276].speaker SPEAKER_04
transcript.pyannote[1276].start 6586.00596875
transcript.pyannote[1276].end 6586.76534375
transcript.pyannote[1277].speaker SPEAKER_04
transcript.pyannote[1277].start 6587.23784375
transcript.pyannote[1277].end 6588.85784375
transcript.pyannote[1278].speaker SPEAKER_04
transcript.pyannote[1278].start 6589.51596875
transcript.pyannote[1278].end 6592.48596875
transcript.pyannote[1279].speaker SPEAKER_20
transcript.pyannote[1279].start 6592.80659375
transcript.pyannote[1279].end 6593.12721875
transcript.pyannote[1280].speaker SPEAKER_04
transcript.pyannote[1280].start 6593.12721875
transcript.pyannote[1280].end 6597.04221875
transcript.pyannote[1281].speaker SPEAKER_20
transcript.pyannote[1281].start 6594.30846875
transcript.pyannote[1281].end 6598.88159375
transcript.pyannote[1282].speaker SPEAKER_20
transcript.pyannote[1282].start 6599.33721875
transcript.pyannote[1282].end 6601.63221875
transcript.pyannote[1283].speaker SPEAKER_20
transcript.pyannote[1283].start 6602.37471875
transcript.pyannote[1283].end 6612.06096875
transcript.pyannote[1284].speaker SPEAKER_20
transcript.pyannote[1284].start 6612.39846875
transcript.pyannote[1284].end 6612.97221875
transcript.pyannote[1285].speaker SPEAKER_20
transcript.pyannote[1285].start 6613.09034375
transcript.pyannote[1285].end 6614.20409375
transcript.pyannote[1286].speaker SPEAKER_20
transcript.pyannote[1286].start 6614.89596875
transcript.pyannote[1286].end 6621.51096875
transcript.pyannote[1287].speaker SPEAKER_20
transcript.pyannote[1287].start 6622.06784375
transcript.pyannote[1287].end 6624.78471875
transcript.pyannote[1288].speaker SPEAKER_20
transcript.pyannote[1288].start 6626.25284375
transcript.pyannote[1288].end 6642.45284375
transcript.pyannote[1289].speaker SPEAKER_20
transcript.pyannote[1289].start 6643.68471875
transcript.pyannote[1289].end 6644.83221875
transcript.pyannote[1290].speaker SPEAKER_20
transcript.pyannote[1290].start 6645.25409375
transcript.pyannote[1290].end 6659.46284375
transcript.pyannote[1291].speaker SPEAKER_20
transcript.pyannote[1291].start 6659.61471875
transcript.pyannote[1291].end 6669.11534375
transcript.pyannote[1292].speaker SPEAKER_20
transcript.pyannote[1292].start 6669.58784375
transcript.pyannote[1292].end 6672.37221875
transcript.pyannote[1293].speaker SPEAKER_20
transcript.pyannote[1293].start 6672.72659375
transcript.pyannote[1293].end 6676.38846875
transcript.pyannote[1294].speaker SPEAKER_20
transcript.pyannote[1294].start 6676.99596875
transcript.pyannote[1294].end 6680.59034375
transcript.pyannote[1295].speaker SPEAKER_04
transcript.pyannote[1295].start 6679.86471875
transcript.pyannote[1295].end 6680.38784375
transcript.pyannote[1296].speaker SPEAKER_20
transcript.pyannote[1296].start 6680.91096875
transcript.pyannote[1296].end 6682.51409375
transcript.pyannote[1297].speaker SPEAKER_20
transcript.pyannote[1297].start 6683.22284375
transcript.pyannote[1297].end 6683.84721875
transcript.pyannote[1298].speaker SPEAKER_04
transcript.pyannote[1298].start 6684.82596875
transcript.pyannote[1298].end 6685.72034375
transcript.pyannote[1299].speaker SPEAKER_04
transcript.pyannote[1299].start 6686.46284375
transcript.pyannote[1299].end 6687.13784375
transcript.pyannote[1300].speaker SPEAKER_20
transcript.pyannote[1300].start 6687.62721875
transcript.pyannote[1300].end 6688.47096875
transcript.pyannote[1301].speaker SPEAKER_04
transcript.pyannote[1301].start 6688.47096875
transcript.pyannote[1301].end 6689.01096875
transcript.pyannote[1302].speaker SPEAKER_20
transcript.pyannote[1302].start 6688.53846875
transcript.pyannote[1302].end 6690.64784375
transcript.pyannote[1303].speaker SPEAKER_04
transcript.pyannote[1303].start 6691.37346875
transcript.pyannote[1303].end 6691.79534375
transcript.pyannote[1304].speaker SPEAKER_20
transcript.pyannote[1304].start 6692.21721875
transcript.pyannote[1304].end 6692.55471875
transcript.pyannote[1305].speaker SPEAKER_20
transcript.pyannote[1305].start 6694.57971875
transcript.pyannote[1305].end 6695.84534375
transcript.pyannote[1306].speaker SPEAKER_20
transcript.pyannote[1306].start 6696.21659375
transcript.pyannote[1306].end 6697.38096875
transcript.pyannote[1307].speaker SPEAKER_20
transcript.pyannote[1307].start 6697.78596875
transcript.pyannote[1307].end 6700.33409375
transcript.pyannote[1308].speaker SPEAKER_20
transcript.pyannote[1308].start 6700.94159375
transcript.pyannote[1308].end 6702.02159375
transcript.pyannote[1309].speaker SPEAKER_20
transcript.pyannote[1309].start 6702.46034375
transcript.pyannote[1309].end 6704.41784375
transcript.pyannote[1310].speaker SPEAKER_20
transcript.pyannote[1310].start 6705.80159375
transcript.pyannote[1310].end 6719.21721875
transcript.pyannote[1311].speaker SPEAKER_20
transcript.pyannote[1311].start 6719.68971875
transcript.pyannote[1311].end 6746.60534375
transcript.pyannote[1312].speaker SPEAKER_04
transcript.pyannote[1312].start 6742.08284375
transcript.pyannote[1312].end 6743.58471875
transcript.pyannote[1313].speaker SPEAKER_04
transcript.pyannote[1313].start 6746.60534375
transcript.pyannote[1313].end 6747.33096875
transcript.pyannote[1314].speaker SPEAKER_20
transcript.pyannote[1314].start 6747.33096875
transcript.pyannote[1314].end 6767.81721875
transcript.pyannote[1315].speaker SPEAKER_20
transcript.pyannote[1315].start 6768.15471875
transcript.pyannote[1315].end 6770.43284375
transcript.pyannote[1316].speaker SPEAKER_20
transcript.pyannote[1316].start 6771.98534375
transcript.pyannote[1316].end 6772.45784375
transcript.pyannote[1317].speaker SPEAKER_20
transcript.pyannote[1317].start 6773.33534375
transcript.pyannote[1317].end 6776.65971875
transcript.pyannote[1318].speaker SPEAKER_20
transcript.pyannote[1318].start 6776.77784375
transcript.pyannote[1318].end 6778.81971875
transcript.pyannote[1319].speaker SPEAKER_20
transcript.pyannote[1319].start 6779.34284375
transcript.pyannote[1319].end 6780.22034375
transcript.pyannote[1320].speaker SPEAKER_04
transcript.pyannote[1320].start 6781.14846875
transcript.pyannote[1320].end 6783.78096875
transcript.pyannote[1321].speaker SPEAKER_20
transcript.pyannote[1321].start 6782.92034375
transcript.pyannote[1321].end 6817.32846875
transcript.pyannote[1322].speaker SPEAKER_20
transcript.pyannote[1322].start 6817.68284375
transcript.pyannote[1322].end 6836.56596875
transcript.pyannote[1323].speaker SPEAKER_20
transcript.pyannote[1323].start 6837.24096875
transcript.pyannote[1323].end 6848.10846875
transcript.pyannote[1324].speaker SPEAKER_08
transcript.pyannote[1324].start 6843.92346875
transcript.pyannote[1324].end 6844.83471875
transcript.pyannote[1325].speaker SPEAKER_08
transcript.pyannote[1325].start 6849.22221875
transcript.pyannote[1325].end 6849.23909375
transcript.pyannote[1326].speaker SPEAKER_13
transcript.pyannote[1326].start 6849.23909375
transcript.pyannote[1326].end 6849.45846875
transcript.pyannote[1327].speaker SPEAKER_13
transcript.pyannote[1327].start 6852.78284375
transcript.pyannote[1327].end 6859.12784375
transcript.pyannote[1328].speaker SPEAKER_13
transcript.pyannote[1328].start 6859.39784375
transcript.pyannote[1328].end 6861.79409375
transcript.pyannote[1329].speaker SPEAKER_29
transcript.pyannote[1329].start 6868.88159375
transcript.pyannote[1329].end 6874.36596875
transcript.pyannote[1330].speaker SPEAKER_13
transcript.pyannote[1330].start 6875.04096875
transcript.pyannote[1330].end 6876.86346875
transcript.pyannote[1331].speaker SPEAKER_13
transcript.pyannote[1331].start 6878.34846875
transcript.pyannote[1331].end 6878.93909375
transcript.pyannote[1332].speaker SPEAKER_29
transcript.pyannote[1332].start 6882.63471875
transcript.pyannote[1332].end 6887.93346875
transcript.pyannote[1333].speaker SPEAKER_04
transcript.pyannote[1333].start 6883.34346875
transcript.pyannote[1333].end 6883.76534375
transcript.pyannote[1334].speaker SPEAKER_29
transcript.pyannote[1334].start 6888.33846875
transcript.pyannote[1334].end 6890.41409375
transcript.pyannote[1335].speaker SPEAKER_29
transcript.pyannote[1335].start 6890.81909375
transcript.pyannote[1335].end 6893.40096875
transcript.pyannote[1336].speaker SPEAKER_29
transcript.pyannote[1336].start 6893.82284375
transcript.pyannote[1336].end 6897.53534375
transcript.pyannote[1337].speaker SPEAKER_29
transcript.pyannote[1337].start 6897.82221875
transcript.pyannote[1337].end 6898.78409375
transcript.pyannote[1338].speaker SPEAKER_29
transcript.pyannote[1338].start 6899.42534375
transcript.pyannote[1338].end 6901.80471875
transcript.pyannote[1339].speaker SPEAKER_29
transcript.pyannote[1339].start 6902.04096875
transcript.pyannote[1339].end 6904.40346875
transcript.pyannote[1340].speaker SPEAKER_08
transcript.pyannote[1340].start 6904.38659375
transcript.pyannote[1340].end 6904.74096875
transcript.pyannote[1341].speaker SPEAKER_29
transcript.pyannote[1341].start 6904.60596875
transcript.pyannote[1341].end 6908.30159375
transcript.pyannote[1342].speaker SPEAKER_29
transcript.pyannote[1342].start 6908.62221875
transcript.pyannote[1342].end 6911.35596875
transcript.pyannote[1343].speaker SPEAKER_29
transcript.pyannote[1343].start 6911.71034375
transcript.pyannote[1343].end 6915.11909375
transcript.pyannote[1344].speaker SPEAKER_29
transcript.pyannote[1344].start 6915.38909375
transcript.pyannote[1344].end 6918.12284375
transcript.pyannote[1345].speaker SPEAKER_29
transcript.pyannote[1345].start 6918.44346875
transcript.pyannote[1345].end 6921.14346875
transcript.pyannote[1346].speaker SPEAKER_29
transcript.pyannote[1346].start 6921.93659375
transcript.pyannote[1346].end 6922.32471875
transcript.pyannote[1347].speaker SPEAKER_29
transcript.pyannote[1347].start 6922.91534375
transcript.pyannote[1347].end 6925.04159375
transcript.pyannote[1348].speaker SPEAKER_29
transcript.pyannote[1348].start 6925.29471875
transcript.pyannote[1348].end 6928.83846875
transcript.pyannote[1349].speaker SPEAKER_29
transcript.pyannote[1349].start 6929.17596875
transcript.pyannote[1349].end 6930.45846875
transcript.pyannote[1350].speaker SPEAKER_29
transcript.pyannote[1350].start 6930.96471875
transcript.pyannote[1350].end 6936.07784375
transcript.pyannote[1351].speaker SPEAKER_29
transcript.pyannote[1351].start 6936.31409375
transcript.pyannote[1351].end 6939.53721875
transcript.pyannote[1352].speaker SPEAKER_29
transcript.pyannote[1352].start 6939.89159375
transcript.pyannote[1352].end 6941.73096875
transcript.pyannote[1353].speaker SPEAKER_29
transcript.pyannote[1353].start 6942.25409375
transcript.pyannote[1353].end 6943.58721875
transcript.pyannote[1354].speaker SPEAKER_29
transcript.pyannote[1354].start 6944.21159375
transcript.pyannote[1354].end 6949.44284375
transcript.pyannote[1355].speaker SPEAKER_29
transcript.pyannote[1355].start 6949.89846875
transcript.pyannote[1355].end 6951.11346875
transcript.pyannote[1356].speaker SPEAKER_29
transcript.pyannote[1356].start 6951.51846875
transcript.pyannote[1356].end 6951.92346875
transcript.pyannote[1357].speaker SPEAKER_29
transcript.pyannote[1357].start 6952.24409375
transcript.pyannote[1357].end 6956.91846875
transcript.pyannote[1358].speaker SPEAKER_29
transcript.pyannote[1358].start 6957.23909375
transcript.pyannote[1358].end 6961.62659375
transcript.pyannote[1359].speaker SPEAKER_29
transcript.pyannote[1359].start 6962.13284375
transcript.pyannote[1359].end 6964.54596875
transcript.pyannote[1360].speaker SPEAKER_29
transcript.pyannote[1360].start 6964.86659375
transcript.pyannote[1360].end 6967.43159375
transcript.pyannote[1361].speaker SPEAKER_29
transcript.pyannote[1361].start 6967.68471875
transcript.pyannote[1361].end 6968.05596875
transcript.pyannote[1362].speaker SPEAKER_29
transcript.pyannote[1362].start 6968.83221875
transcript.pyannote[1362].end 6971.71784375
transcript.pyannote[1363].speaker SPEAKER_29
transcript.pyannote[1363].start 6971.92034375
transcript.pyannote[1363].end 6973.94534375
transcript.pyannote[1364].speaker SPEAKER_29
transcript.pyannote[1364].start 6974.33346875
transcript.pyannote[1364].end 6976.67909375
transcript.pyannote[1365].speaker SPEAKER_29
transcript.pyannote[1365].start 6977.01659375
transcript.pyannote[1365].end 6980.67846875
transcript.pyannote[1366].speaker SPEAKER_29
transcript.pyannote[1366].start 6980.76284375
transcript.pyannote[1366].end 6984.18846875
transcript.pyannote[1367].speaker SPEAKER_29
transcript.pyannote[1367].start 6984.57659375
transcript.pyannote[1367].end 6987.51284375
transcript.pyannote[1368].speaker SPEAKER_29
transcript.pyannote[1368].start 6987.86721875
transcript.pyannote[1368].end 6989.36909375
transcript.pyannote[1369].speaker SPEAKER_29
transcript.pyannote[1369].start 6989.47034375
transcript.pyannote[1369].end 6990.87096875
transcript.pyannote[1370].speaker SPEAKER_29
transcript.pyannote[1370].start 6991.24221875
transcript.pyannote[1370].end 6992.52471875
transcript.pyannote[1371].speaker SPEAKER_29
transcript.pyannote[1371].start 6992.79471875
transcript.pyannote[1371].end 6994.60034375
transcript.pyannote[1372].speaker SPEAKER_29
transcript.pyannote[1372].start 6994.90409375
transcript.pyannote[1372].end 6997.68846875
transcript.pyannote[1373].speaker SPEAKER_29
transcript.pyannote[1373].start 6997.97534375
transcript.pyannote[1373].end 7002.16034375
transcript.pyannote[1374].speaker SPEAKER_29
transcript.pyannote[1374].start 7002.56534375
transcript.pyannote[1374].end 7004.38784375
transcript.pyannote[1375].speaker SPEAKER_29
transcript.pyannote[1375].start 7004.55659375
transcript.pyannote[1375].end 7006.71659375
transcript.pyannote[1376].speaker SPEAKER_29
transcript.pyannote[1376].start 7006.81784375
transcript.pyannote[1376].end 7009.70346875
transcript.pyannote[1377].speaker SPEAKER_29
transcript.pyannote[1377].start 7010.32784375
transcript.pyannote[1377].end 7015.42409375
transcript.pyannote[1378].speaker SPEAKER_29
transcript.pyannote[1378].start 7015.66034375
transcript.pyannote[1378].end 7027.54034375
transcript.pyannote[1379].speaker SPEAKER_29
transcript.pyannote[1379].start 7027.60784375
transcript.pyannote[1379].end 7029.70034375
transcript.pyannote[1380].speaker SPEAKER_29
transcript.pyannote[1380].start 7029.97034375
transcript.pyannote[1380].end 7034.05409375
transcript.pyannote[1381].speaker SPEAKER_29
transcript.pyannote[1381].start 7034.40846875
transcript.pyannote[1381].end 7034.99909375
transcript.pyannote[1382].speaker SPEAKER_29
transcript.pyannote[1382].start 7035.26909375
transcript.pyannote[1382].end 7039.65659375
transcript.pyannote[1383].speaker SPEAKER_29
transcript.pyannote[1383].start 7040.04471875
transcript.pyannote[1383].end 7044.97221875
transcript.pyannote[1384].speaker SPEAKER_29
transcript.pyannote[1384].start 7045.37721875
transcript.pyannote[1384].end 7047.26721875
transcript.pyannote[1385].speaker SPEAKER_29
transcript.pyannote[1385].start 7047.65534375
transcript.pyannote[1385].end 7051.53659375
transcript.pyannote[1386].speaker SPEAKER_29
transcript.pyannote[1386].start 7052.04284375
transcript.pyannote[1386].end 7056.64971875
transcript.pyannote[1387].speaker SPEAKER_29
transcript.pyannote[1387].start 7057.15596875
transcript.pyannote[1387].end 7057.40909375
transcript.pyannote[1388].speaker SPEAKER_29
transcript.pyannote[1388].start 7058.21909375
transcript.pyannote[1388].end 7060.12596875
transcript.pyannote[1389].speaker SPEAKER_29
transcript.pyannote[1389].start 7060.31159375
transcript.pyannote[1389].end 7064.04096875
transcript.pyannote[1390].speaker SPEAKER_29
transcript.pyannote[1390].start 7064.37846875
transcript.pyannote[1390].end 7066.03221875
transcript.pyannote[1391].speaker SPEAKER_29
transcript.pyannote[1391].start 7066.13346875
transcript.pyannote[1391].end 7069.28909375
transcript.pyannote[1392].speaker SPEAKER_29
transcript.pyannote[1392].start 7069.30596875
transcript.pyannote[1392].end 7070.21721875
transcript.pyannote[1393].speaker SPEAKER_29
transcript.pyannote[1393].start 7070.87534375
transcript.pyannote[1393].end 7072.27596875
transcript.pyannote[1394].speaker SPEAKER_29
transcript.pyannote[1394].start 7072.46159375
transcript.pyannote[1394].end 7073.87909375
transcript.pyannote[1395].speaker SPEAKER_29
transcript.pyannote[1395].start 7074.03096875
transcript.pyannote[1395].end 7077.54096875
transcript.pyannote[1396].speaker SPEAKER_29
transcript.pyannote[1396].start 7077.59159375
transcript.pyannote[1396].end 7081.86096875
transcript.pyannote[1397].speaker SPEAKER_29
transcript.pyannote[1397].start 7082.08034375
transcript.pyannote[1397].end 7083.36284375
transcript.pyannote[1398].speaker SPEAKER_29
transcript.pyannote[1398].start 7084.40909375
transcript.pyannote[1398].end 7087.10909375
transcript.pyannote[1399].speaker SPEAKER_29
transcript.pyannote[1399].start 7087.31159375
transcript.pyannote[1399].end 7088.83034375
transcript.pyannote[1400].speaker SPEAKER_29
transcript.pyannote[1400].start 7088.86409375
transcript.pyannote[1400].end 7091.09159375
transcript.pyannote[1401].speaker SPEAKER_29
transcript.pyannote[1401].start 7091.44596875
transcript.pyannote[1401].end 7097.97659375
transcript.pyannote[1402].speaker SPEAKER_29
transcript.pyannote[1402].start 7098.31409375
transcript.pyannote[1402].end 7098.49971875
transcript.pyannote[1403].speaker SPEAKER_29
transcript.pyannote[1403].start 7098.76971875
transcript.pyannote[1403].end 7102.39784375
transcript.pyannote[1404].speaker SPEAKER_29
transcript.pyannote[1404].start 7102.56659375
transcript.pyannote[1404].end 7117.07909375
transcript.pyannote[1405].speaker SPEAKER_23
transcript.pyannote[1405].start 7115.32409375
transcript.pyannote[1405].end 7115.35784375
transcript.pyannote[1406].speaker SPEAKER_29
transcript.pyannote[1406].start 7117.24784375
transcript.pyannote[1406].end 7118.54721875
transcript.pyannote[1407].speaker SPEAKER_29
transcript.pyannote[1407].start 7118.86784375
transcript.pyannote[1407].end 7121.31471875
transcript.pyannote[1408].speaker SPEAKER_29
transcript.pyannote[1408].start 7121.87159375
transcript.pyannote[1408].end 7122.59721875
transcript.pyannote[1409].speaker SPEAKER_29
transcript.pyannote[1409].start 7122.78284375
transcript.pyannote[1409].end 7127.35596875
transcript.pyannote[1410].speaker SPEAKER_29
transcript.pyannote[1410].start 7127.72721875
transcript.pyannote[1410].end 7131.86159375
transcript.pyannote[1411].speaker SPEAKER_29
transcript.pyannote[1411].start 7132.03034375
transcript.pyannote[1411].end 7135.35471875
transcript.pyannote[1412].speaker SPEAKER_29
transcript.pyannote[1412].start 7135.59096875
transcript.pyannote[1412].end 7138.05471875
transcript.pyannote[1413].speaker SPEAKER_29
transcript.pyannote[1413].start 7138.34159375
transcript.pyannote[1413].end 7140.21471875
transcript.pyannote[1414].speaker SPEAKER_29
transcript.pyannote[1414].start 7140.58596875
transcript.pyannote[1414].end 7146.20534375
transcript.pyannote[1415].speaker SPEAKER_29
transcript.pyannote[1415].start 7146.45846875
transcript.pyannote[1415].end 7150.64346875
transcript.pyannote[1416].speaker SPEAKER_29
transcript.pyannote[1416].start 7150.89659375
transcript.pyannote[1416].end 7153.10721875
transcript.pyannote[1417].speaker SPEAKER_29
transcript.pyannote[1417].start 7153.51221875
transcript.pyannote[1417].end 7169.83034375
transcript.pyannote[1418].speaker SPEAKER_29
transcript.pyannote[1418].start 7170.10034375
transcript.pyannote[1418].end 7170.75846875
transcript.pyannote[1419].speaker SPEAKER_29
transcript.pyannote[1419].start 7171.09596875
transcript.pyannote[1419].end 7172.64846875
transcript.pyannote[1420].speaker SPEAKER_04
transcript.pyannote[1420].start 7173.10409375
transcript.pyannote[1420].end 7173.62721875
transcript.pyannote[1421].speaker SPEAKER_04
transcript.pyannote[1421].start 7173.93096875
transcript.pyannote[1421].end 7177.82909375
transcript.pyannote[1422].speaker SPEAKER_04
transcript.pyannote[1422].start 7178.43659375
transcript.pyannote[1422].end 7181.32221875
transcript.pyannote[1423].speaker SPEAKER_04
transcript.pyannote[1423].start 7181.72721875
transcript.pyannote[1423].end 7182.30096875
transcript.pyannote[1424].speaker SPEAKER_04
transcript.pyannote[1424].start 7182.75659375
transcript.pyannote[1424].end 7187.90346875
transcript.pyannote[1425].speaker SPEAKER_04
transcript.pyannote[1425].start 7187.98784375
transcript.pyannote[1425].end 7190.46846875
transcript.pyannote[1426].speaker SPEAKER_04
transcript.pyannote[1426].start 7191.02534375
transcript.pyannote[1426].end 7192.29096875
transcript.pyannote[1427].speaker SPEAKER_04
transcript.pyannote[1427].start 7192.57784375
transcript.pyannote[1427].end 7194.61971875
transcript.pyannote[1428].speaker SPEAKER_04
transcript.pyannote[1428].start 7194.73784375
transcript.pyannote[1428].end 7196.52659375
transcript.pyannote[1429].speaker SPEAKER_29
transcript.pyannote[1429].start 7197.65721875
transcript.pyannote[1429].end 7200.44159375
transcript.pyannote[1430].speaker SPEAKER_29
transcript.pyannote[1430].start 7200.50909375
transcript.pyannote[1430].end 7204.62659375
transcript.pyannote[1431].speaker SPEAKER_29
transcript.pyannote[1431].start 7204.72784375
transcript.pyannote[1431].end 7206.12846875
transcript.pyannote[1432].speaker SPEAKER_04
transcript.pyannote[1432].start 7205.82471875
transcript.pyannote[1432].end 7208.50784375
transcript.pyannote[1433].speaker SPEAKER_29
transcript.pyannote[1433].start 7207.34346875
transcript.pyannote[1433].end 7207.68096875
transcript.pyannote[1434].speaker SPEAKER_29
transcript.pyannote[1434].start 7208.96346875
transcript.pyannote[1434].end 7213.04721875
transcript.pyannote[1435].speaker SPEAKER_29
transcript.pyannote[1435].start 7213.28346875
transcript.pyannote[1435].end 7216.16909375
transcript.pyannote[1436].speaker SPEAKER_13
transcript.pyannote[1436].start 7218.43034375
transcript.pyannote[1436].end 7222.88534375
transcript.pyannote[1437].speaker SPEAKER_13
transcript.pyannote[1437].start 7225.58534375
transcript.pyannote[1437].end 7226.09159375
transcript.pyannote[1438].speaker SPEAKER_13
transcript.pyannote[1438].start 7226.66534375
transcript.pyannote[1438].end 7227.27284375
transcript.pyannote[1439].speaker SPEAKER_13
transcript.pyannote[1439].start 7228.74096875
transcript.pyannote[1439].end 7229.29784375
transcript.pyannote[1440].speaker SPEAKER_13
transcript.pyannote[1440].start 7232.08221875
transcript.pyannote[1440].end 7238.30909375
transcript.pyannote[1441].speaker SPEAKER_13
transcript.pyannote[1441].start 7241.02596875
transcript.pyannote[1441].end 7243.86096875
transcript.pyannote[1442].speaker SPEAKER_01
transcript.pyannote[1442].start 7244.50221875
transcript.pyannote[1442].end 7245.41346875
transcript.pyannote[1443].speaker SPEAKER_01
transcript.pyannote[1443].start 7245.90284375
transcript.pyannote[1443].end 7250.71221875
transcript.pyannote[1444].speaker SPEAKER_01
transcript.pyannote[1444].start 7250.96534375
transcript.pyannote[1444].end 7253.27721875
transcript.pyannote[1445].speaker SPEAKER_13
transcript.pyannote[1445].start 7252.77096875
transcript.pyannote[1445].end 7253.54721875
transcript.pyannote[1446].speaker SPEAKER_13
transcript.pyannote[1446].start 7257.54659375
transcript.pyannote[1446].end 7257.88409375
transcript.pyannote[1447].speaker SPEAKER_01
transcript.pyannote[1447].start 7260.38159375
transcript.pyannote[1447].end 7260.39846875
transcript.pyannote[1448].speaker SPEAKER_08
transcript.pyannote[1448].start 7260.39846875
transcript.pyannote[1448].end 7260.41534375
transcript.pyannote[1449].speaker SPEAKER_01
transcript.pyannote[1449].start 7260.41534375
transcript.pyannote[1449].end 7260.44909375
transcript.pyannote[1450].speaker SPEAKER_08
transcript.pyannote[1450].start 7260.43221875
transcript.pyannote[1450].end 7261.07346875
transcript.pyannote[1451].speaker SPEAKER_01
transcript.pyannote[1451].start 7260.49971875
transcript.pyannote[1451].end 7264.31346875
transcript.pyannote[1452].speaker SPEAKER_01
transcript.pyannote[1452].start 7264.81971875
transcript.pyannote[1452].end 7271.75534375
transcript.pyannote[1453].speaker SPEAKER_01
transcript.pyannote[1453].start 7271.92409375
transcript.pyannote[1453].end 7272.88596875
transcript.pyannote[1454].speaker SPEAKER_01
transcript.pyannote[1454].start 7273.18971875
transcript.pyannote[1454].end 7275.24846875
transcript.pyannote[1455].speaker SPEAKER_01
transcript.pyannote[1455].start 7275.58596875
transcript.pyannote[1455].end 7278.38721875
transcript.pyannote[1456].speaker SPEAKER_01
transcript.pyannote[1456].start 7278.70784375
transcript.pyannote[1456].end 7280.76659375
transcript.pyannote[1457].speaker SPEAKER_01
transcript.pyannote[1457].start 7280.88471875
transcript.pyannote[1457].end 7281.59346875
transcript.pyannote[1458].speaker SPEAKER_01
transcript.pyannote[1458].start 7282.25159375
transcript.pyannote[1458].end 7285.05284375
transcript.pyannote[1459].speaker SPEAKER_01
transcript.pyannote[1459].start 7285.28909375
transcript.pyannote[1459].end 7286.16659375
transcript.pyannote[1460].speaker SPEAKER_01
transcript.pyannote[1460].start 7286.33534375
transcript.pyannote[1460].end 7287.41534375
transcript.pyannote[1461].speaker SPEAKER_01
transcript.pyannote[1461].start 7287.80346875
transcript.pyannote[1461].end 7290.85784375
transcript.pyannote[1462].speaker SPEAKER_01
transcript.pyannote[1462].start 7291.09409375
transcript.pyannote[1462].end 7292.12346875
transcript.pyannote[1463].speaker SPEAKER_01
transcript.pyannote[1463].start 7292.39346875
transcript.pyannote[1463].end 7294.87409375
transcript.pyannote[1464].speaker SPEAKER_01
transcript.pyannote[1464].start 7295.09346875
transcript.pyannote[1464].end 7296.39284375
transcript.pyannote[1465].speaker SPEAKER_01
transcript.pyannote[1465].start 7296.64596875
transcript.pyannote[1465].end 7296.98346875
transcript.pyannote[1466].speaker SPEAKER_01
transcript.pyannote[1466].start 7297.23659375
transcript.pyannote[1466].end 7300.37534375
transcript.pyannote[1467].speaker SPEAKER_01
transcript.pyannote[1467].start 7300.69596875
transcript.pyannote[1467].end 7301.33721875
transcript.pyannote[1468].speaker SPEAKER_01
transcript.pyannote[1468].start 7301.70846875
transcript.pyannote[1468].end 7304.17221875
transcript.pyannote[1469].speaker SPEAKER_01
transcript.pyannote[1469].start 7304.49284375
transcript.pyannote[1469].end 7307.98596875
transcript.pyannote[1470].speaker SPEAKER_01
transcript.pyannote[1470].start 7308.39096875
transcript.pyannote[1470].end 7309.87596875
transcript.pyannote[1471].speaker SPEAKER_01
transcript.pyannote[1471].start 7310.16284375
transcript.pyannote[1471].end 7311.34409375
transcript.pyannote[1472].speaker SPEAKER_01
transcript.pyannote[1472].start 7311.86721875
transcript.pyannote[1472].end 7312.71096875
transcript.pyannote[1473].speaker SPEAKER_01
transcript.pyannote[1473].start 7313.08221875
transcript.pyannote[1473].end 7315.24221875
transcript.pyannote[1474].speaker SPEAKER_01
transcript.pyannote[1474].start 7315.68096875
transcript.pyannote[1474].end 7316.35596875
transcript.pyannote[1475].speaker SPEAKER_01
transcript.pyannote[1475].start 7317.08159375
transcript.pyannote[1475].end 7317.53721875
transcript.pyannote[1476].speaker SPEAKER_01
transcript.pyannote[1476].start 7317.92534375
transcript.pyannote[1476].end 7319.57909375
transcript.pyannote[1477].speaker SPEAKER_01
transcript.pyannote[1477].start 7319.95034375
transcript.pyannote[1477].end 7321.75596875
transcript.pyannote[1478].speaker SPEAKER_01
transcript.pyannote[1478].start 7322.27909375
transcript.pyannote[1478].end 7325.65409375
transcript.pyannote[1479].speaker SPEAKER_01
transcript.pyannote[1479].start 7325.67096875
transcript.pyannote[1479].end 7327.37534375
transcript.pyannote[1480].speaker SPEAKER_01
transcript.pyannote[1480].start 7327.74659375
transcript.pyannote[1480].end 7329.77159375
transcript.pyannote[1481].speaker SPEAKER_01
transcript.pyannote[1481].start 7330.17659375
transcript.pyannote[1481].end 7333.92284375
transcript.pyannote[1482].speaker SPEAKER_01
transcript.pyannote[1482].start 7334.17596875
transcript.pyannote[1482].end 7335.34034375
transcript.pyannote[1483].speaker SPEAKER_01
transcript.pyannote[1483].start 7335.59346875
transcript.pyannote[1483].end 7340.62221875
transcript.pyannote[1484].speaker SPEAKER_04
transcript.pyannote[1484].start 7340.94284375
transcript.pyannote[1484].end 7341.14534375
transcript.pyannote[1485].speaker SPEAKER_04
transcript.pyannote[1485].start 7342.49534375
transcript.pyannote[1485].end 7343.71034375
transcript.pyannote[1486].speaker SPEAKER_04
transcript.pyannote[1486].start 7344.40221875
transcript.pyannote[1486].end 7345.70159375
transcript.pyannote[1487].speaker SPEAKER_01
transcript.pyannote[1487].start 7346.29221875
transcript.pyannote[1487].end 7346.32596875
transcript.pyannote[1488].speaker SPEAKER_04
transcript.pyannote[1488].start 7346.32596875
transcript.pyannote[1488].end 7347.87846875
transcript.pyannote[1489].speaker SPEAKER_04
transcript.pyannote[1489].start 7348.53659375
transcript.pyannote[1489].end 7351.00034375
transcript.pyannote[1490].speaker SPEAKER_04
transcript.pyannote[1490].start 7351.48971875
transcript.pyannote[1490].end 7355.15159375
transcript.pyannote[1491].speaker SPEAKER_04
transcript.pyannote[1491].start 7355.94471875
transcript.pyannote[1491].end 7358.98221875
transcript.pyannote[1492].speaker SPEAKER_04
transcript.pyannote[1492].start 7359.38721875
transcript.pyannote[1492].end 7360.53471875
transcript.pyannote[1493].speaker SPEAKER_04
transcript.pyannote[1493].start 7360.75409375
transcript.pyannote[1493].end 7362.62721875
transcript.pyannote[1494].speaker SPEAKER_04
transcript.pyannote[1494].start 7363.04909375
transcript.pyannote[1494].end 7366.03596875
transcript.pyannote[1495].speaker SPEAKER_04
transcript.pyannote[1495].start 7366.35659375
transcript.pyannote[1495].end 7367.45346875
transcript.pyannote[1496].speaker SPEAKER_04
transcript.pyannote[1496].start 7367.60534375
transcript.pyannote[1496].end 7374.99659375
transcript.pyannote[1497].speaker SPEAKER_04
transcript.pyannote[1497].start 7375.62096875
transcript.pyannote[1497].end 7376.44784375
transcript.pyannote[1498].speaker SPEAKER_04
transcript.pyannote[1498].start 7376.81909375
transcript.pyannote[1498].end 7377.47721875
transcript.pyannote[1499].speaker SPEAKER_04
transcript.pyannote[1499].start 7377.96659375
transcript.pyannote[1499].end 7378.47284375
transcript.pyannote[1500].speaker SPEAKER_04
transcript.pyannote[1500].start 7379.46846875
transcript.pyannote[1500].end 7384.46346875
transcript.pyannote[1501].speaker SPEAKER_04
transcript.pyannote[1501].start 7385.30721875
transcript.pyannote[1501].end 7393.27221875
transcript.pyannote[1502].speaker SPEAKER_04
transcript.pyannote[1502].start 7393.96409375
transcript.pyannote[1502].end 7395.82034375
transcript.pyannote[1503].speaker SPEAKER_00
transcript.pyannote[1503].start 7394.03159375
transcript.pyannote[1503].end 7394.57159375
transcript.pyannote[1504].speaker SPEAKER_04
transcript.pyannote[1504].start 7396.98471875
transcript.pyannote[1504].end 7400.73096875
transcript.pyannote[1505].speaker SPEAKER_04
transcript.pyannote[1505].start 7401.22034375
transcript.pyannote[1505].end 7405.47284375
transcript.pyannote[1506].speaker SPEAKER_04
transcript.pyannote[1506].start 7406.11409375
transcript.pyannote[1506].end 7408.35846875
transcript.pyannote[1507].speaker SPEAKER_04
transcript.pyannote[1507].start 7408.74659375
transcript.pyannote[1507].end 7411.78409375
transcript.pyannote[1508].speaker SPEAKER_08
transcript.pyannote[1508].start 7408.83096875
transcript.pyannote[1508].end 7408.96596875
transcript.pyannote[1509].speaker SPEAKER_00
transcript.pyannote[1509].start 7408.96596875
transcript.pyannote[1509].end 7409.05034375
transcript.pyannote[1510].speaker SPEAKER_04
transcript.pyannote[1510].start 7412.02034375
transcript.pyannote[1510].end 7414.12971875
transcript.pyannote[1511].speaker SPEAKER_04
transcript.pyannote[1511].start 7414.31534375
transcript.pyannote[1511].end 7415.90159375
transcript.pyannote[1512].speaker SPEAKER_04
transcript.pyannote[1512].start 7416.20534375
transcript.pyannote[1512].end 7418.19659375
transcript.pyannote[1513].speaker SPEAKER_04
transcript.pyannote[1513].start 7418.60159375
transcript.pyannote[1513].end 7422.95534375
transcript.pyannote[1514].speaker SPEAKER_01
transcript.pyannote[1514].start 7422.95534375
transcript.pyannote[1514].end 7422.97221875
transcript.pyannote[1515].speaker SPEAKER_04
transcript.pyannote[1515].start 7424.15346875
transcript.pyannote[1515].end 7424.17034375
transcript.pyannote[1516].speaker SPEAKER_01
transcript.pyannote[1516].start 7424.17034375
transcript.pyannote[1516].end 7424.72721875
transcript.pyannote[1517].speaker SPEAKER_01
transcript.pyannote[1517].start 7425.62159375
transcript.pyannote[1517].end 7427.47784375
transcript.pyannote[1518].speaker SPEAKER_01
transcript.pyannote[1518].start 7427.84909375
transcript.pyannote[1518].end 7430.53221875
transcript.pyannote[1519].speaker SPEAKER_01
transcript.pyannote[1519].start 7430.70096875
transcript.pyannote[1519].end 7432.74284375
transcript.pyannote[1520].speaker SPEAKER_01
transcript.pyannote[1520].start 7433.02971875
transcript.pyannote[1520].end 7437.95721875
transcript.pyannote[1521].speaker SPEAKER_01
transcript.pyannote[1521].start 7438.36221875
transcript.pyannote[1521].end 7441.48409375
transcript.pyannote[1522].speaker SPEAKER_01
transcript.pyannote[1522].start 7441.72034375
transcript.pyannote[1522].end 7442.73284375
transcript.pyannote[1523].speaker SPEAKER_01
transcript.pyannote[1523].start 7443.13784375
transcript.pyannote[1523].end 7446.76596875
transcript.pyannote[1524].speaker SPEAKER_01
transcript.pyannote[1524].start 7447.13721875
transcript.pyannote[1524].end 7448.04846875
transcript.pyannote[1525].speaker SPEAKER_01
transcript.pyannote[1525].start 7448.58846875
transcript.pyannote[1525].end 7450.93409375
transcript.pyannote[1526].speaker SPEAKER_01
transcript.pyannote[1526].start 7451.38971875
transcript.pyannote[1526].end 7452.09846875
transcript.pyannote[1527].speaker SPEAKER_01
transcript.pyannote[1527].start 7452.43596875
transcript.pyannote[1527].end 7454.46096875
transcript.pyannote[1528].speaker SPEAKER_01
transcript.pyannote[1528].start 7454.78159375
transcript.pyannote[1528].end 7456.77284375
transcript.pyannote[1529].speaker SPEAKER_01
transcript.pyannote[1529].start 7457.12721875
transcript.pyannote[1529].end 7458.32534375
transcript.pyannote[1530].speaker SPEAKER_01
transcript.pyannote[1530].start 7458.64596875
transcript.pyannote[1530].end 7460.38409375
transcript.pyannote[1531].speaker SPEAKER_08
transcript.pyannote[1531].start 7460.38409375
transcript.pyannote[1531].end 7460.82284375
transcript.pyannote[1532].speaker SPEAKER_01
transcript.pyannote[1532].start 7460.50221875
transcript.pyannote[1532].end 7461.93659375
transcript.pyannote[1533].speaker SPEAKER_01
transcript.pyannote[1533].start 7462.08846875
transcript.pyannote[1533].end 7464.19784375
transcript.pyannote[1534].speaker SPEAKER_01
transcript.pyannote[1534].start 7464.26534375
transcript.pyannote[1534].end 7465.05846875
transcript.pyannote[1535].speaker SPEAKER_01
transcript.pyannote[1535].start 7465.44659375
transcript.pyannote[1535].end 7468.07909375
transcript.pyannote[1536].speaker SPEAKER_08
transcript.pyannote[1536].start 7465.73346875
transcript.pyannote[1536].end 7465.96971875
transcript.pyannote[1537].speaker SPEAKER_01
transcript.pyannote[1537].start 7468.36596875
transcript.pyannote[1537].end 7469.88471875
transcript.pyannote[1538].speaker SPEAKER_08
transcript.pyannote[1538].start 7469.93534375
transcript.pyannote[1538].end 7470.03659375
transcript.pyannote[1539].speaker SPEAKER_01
transcript.pyannote[1539].start 7470.03659375
transcript.pyannote[1539].end 7472.19659375
transcript.pyannote[1540].speaker SPEAKER_01
transcript.pyannote[1540].start 7472.60159375
transcript.pyannote[1540].end 7473.51284375
transcript.pyannote[1541].speaker SPEAKER_01
transcript.pyannote[1541].start 7474.12034375
transcript.pyannote[1541].end 7476.01034375
transcript.pyannote[1542].speaker SPEAKER_01
transcript.pyannote[1542].start 7476.55034375
transcript.pyannote[1542].end 7478.77784375
transcript.pyannote[1543].speaker SPEAKER_01
transcript.pyannote[1543].start 7479.30096875
transcript.pyannote[1543].end 7484.17784375
transcript.pyannote[1544].speaker SPEAKER_01
transcript.pyannote[1544].start 7484.32971875
transcript.pyannote[1544].end 7484.90346875
transcript.pyannote[1545].speaker SPEAKER_01
transcript.pyannote[1545].start 7485.15659375
transcript.pyannote[1545].end 7485.47721875
transcript.pyannote[1546].speaker SPEAKER_01
transcript.pyannote[1546].start 7485.96659375
transcript.pyannote[1546].end 7488.27846875
transcript.pyannote[1547].speaker SPEAKER_04
transcript.pyannote[1547].start 7487.83971875
transcript.pyannote[1547].end 7488.24471875
transcript.pyannote[1548].speaker SPEAKER_01
transcript.pyannote[1548].start 7488.43034375
transcript.pyannote[1548].end 7492.75034375
transcript.pyannote[1549].speaker SPEAKER_04
transcript.pyannote[1549].start 7493.64471875
transcript.pyannote[1549].end 7495.26471875
transcript.pyannote[1550].speaker SPEAKER_04
transcript.pyannote[1550].start 7496.24346875
transcript.pyannote[1550].end 7498.40346875
transcript.pyannote[1551].speaker SPEAKER_04
transcript.pyannote[1551].start 7499.33159375
transcript.pyannote[1551].end 7500.15846875
transcript.pyannote[1552].speaker SPEAKER_04
transcript.pyannote[1552].start 7501.05284375
transcript.pyannote[1552].end 7504.63034375
transcript.pyannote[1553].speaker SPEAKER_08
transcript.pyannote[1553].start 7505.03534375
transcript.pyannote[1553].end 7505.27159375
transcript.pyannote[1554].speaker SPEAKER_04
transcript.pyannote[1554].start 7505.82846875
transcript.pyannote[1554].end 7506.94221875
transcript.pyannote[1555].speaker SPEAKER_04
transcript.pyannote[1555].start 7508.07284375
transcript.pyannote[1555].end 7508.81534375
transcript.pyannote[1556].speaker SPEAKER_04
transcript.pyannote[1556].start 7508.88284375
transcript.pyannote[1556].end 7511.93721875
transcript.pyannote[1557].speaker SPEAKER_04
transcript.pyannote[1557].start 7512.39284375
transcript.pyannote[1557].end 7513.92846875
transcript.pyannote[1558].speaker SPEAKER_04
transcript.pyannote[1558].start 7514.19846875
transcript.pyannote[1558].end 7517.08409375
transcript.pyannote[1559].speaker SPEAKER_04
transcript.pyannote[1559].start 7517.38784375
transcript.pyannote[1559].end 7518.75471875
transcript.pyannote[1560].speaker SPEAKER_08
transcript.pyannote[1560].start 7519.09221875
transcript.pyannote[1560].end 7519.34534375
transcript.pyannote[1561].speaker SPEAKER_04
transcript.pyannote[1561].start 7519.37909375
transcript.pyannote[1561].end 7521.16784375
transcript.pyannote[1562].speaker SPEAKER_04
transcript.pyannote[1562].start 7521.60659375
transcript.pyannote[1562].end 7525.43721875
transcript.pyannote[1563].speaker SPEAKER_04
transcript.pyannote[1563].start 7525.65659375
transcript.pyannote[1563].end 7526.26409375
transcript.pyannote[1564].speaker SPEAKER_04
transcript.pyannote[1564].start 7526.39909375
transcript.pyannote[1564].end 7535.91659375
transcript.pyannote[1565].speaker SPEAKER_04
transcript.pyannote[1565].start 7536.20346875
transcript.pyannote[1565].end 7538.73471875
transcript.pyannote[1566].speaker SPEAKER_04
transcript.pyannote[1566].start 7538.97096875
transcript.pyannote[1566].end 7541.02971875
transcript.pyannote[1567].speaker SPEAKER_04
transcript.pyannote[1567].start 7541.45159375
transcript.pyannote[1567].end 7549.45034375
transcript.pyannote[1568].speaker SPEAKER_04
transcript.pyannote[1568].start 7549.78784375
transcript.pyannote[1568].end 7558.71471875
transcript.pyannote[1569].speaker SPEAKER_04
transcript.pyannote[1569].start 7559.10284375
transcript.pyannote[1569].end 7564.80659375
transcript.pyannote[1570].speaker SPEAKER_04
transcript.pyannote[1570].start 7565.21159375
transcript.pyannote[1570].end 7567.91159375
transcript.pyannote[1571].speaker SPEAKER_01
transcript.pyannote[1571].start 7568.67096875
transcript.pyannote[1571].end 7570.03784375
transcript.pyannote[1572].speaker SPEAKER_01
transcript.pyannote[1572].start 7570.27409375
transcript.pyannote[1572].end 7574.18909375
transcript.pyannote[1573].speaker SPEAKER_01
transcript.pyannote[1573].start 7574.40846875
transcript.pyannote[1573].end 7581.24284375
transcript.pyannote[1574].speaker SPEAKER_08
transcript.pyannote[1574].start 7579.67346875
transcript.pyannote[1574].end 7579.97721875
transcript.pyannote[1575].speaker SPEAKER_13
transcript.pyannote[1575].start 7579.97721875
transcript.pyannote[1575].end 7579.99409375
transcript.pyannote[1576].speaker SPEAKER_08
transcript.pyannote[1576].start 7579.99409375
transcript.pyannote[1576].end 7580.56784375
transcript.pyannote[1577].speaker SPEAKER_13
transcript.pyannote[1577].start 7580.56784375
transcript.pyannote[1577].end 7580.66909375
transcript.pyannote[1578].speaker SPEAKER_08
transcript.pyannote[1578].start 7580.66909375
transcript.pyannote[1578].end 7581.17534375
transcript.pyannote[1579].speaker SPEAKER_01
transcript.pyannote[1579].start 7582.39034375
transcript.pyannote[1579].end 7582.60971875
transcript.pyannote[1580].speaker SPEAKER_01
transcript.pyannote[1580].start 7583.35221875
transcript.pyannote[1580].end 7585.05659375
transcript.pyannote[1581].speaker SPEAKER_13
transcript.pyannote[1581].start 7585.78221875
transcript.pyannote[1581].end 7587.09846875
transcript.pyannote[1582].speaker SPEAKER_01
transcript.pyannote[1582].start 7591.67159375
transcript.pyannote[1582].end 7591.68846875
transcript.pyannote[1583].speaker SPEAKER_12
transcript.pyannote[1583].start 7591.68846875
transcript.pyannote[1583].end 7592.34659375
transcript.pyannote[1584].speaker SPEAKER_01
transcript.pyannote[1584].start 7592.58284375
transcript.pyannote[1584].end 7592.61659375
transcript.pyannote[1585].speaker SPEAKER_12
transcript.pyannote[1585].start 7592.61659375
transcript.pyannote[1585].end 7592.63346875
transcript.pyannote[1586].speaker SPEAKER_01
transcript.pyannote[1586].start 7592.63346875
transcript.pyannote[1586].end 7598.25284375
transcript.pyannote[1587].speaker SPEAKER_12
transcript.pyannote[1587].start 7593.96659375
transcript.pyannote[1587].end 7594.08471875
transcript.pyannote[1588].speaker SPEAKER_01
transcript.pyannote[1588].start 7598.70846875
transcript.pyannote[1588].end 7599.95721875
transcript.pyannote[1589].speaker SPEAKER_01
transcript.pyannote[1589].start 7600.27784375
transcript.pyannote[1589].end 7601.94846875
transcript.pyannote[1590].speaker SPEAKER_01
transcript.pyannote[1590].start 7602.35346875
transcript.pyannote[1590].end 7603.63596875
transcript.pyannote[1591].speaker SPEAKER_01
transcript.pyannote[1591].start 7603.82159375
transcript.pyannote[1591].end 7605.39096875
transcript.pyannote[1592].speaker SPEAKER_01
transcript.pyannote[1592].start 7605.76221875
transcript.pyannote[1592].end 7608.51284375
transcript.pyannote[1593].speaker SPEAKER_01
transcript.pyannote[1593].start 7608.90096875
transcript.pyannote[1593].end 7612.74846875
transcript.pyannote[1594].speaker SPEAKER_01
transcript.pyannote[1594].start 7613.11971875
transcript.pyannote[1594].end 7615.56659375
transcript.pyannote[1595].speaker SPEAKER_01
transcript.pyannote[1595].start 7615.71846875
transcript.pyannote[1595].end 7616.81534375
transcript.pyannote[1596].speaker SPEAKER_01
transcript.pyannote[1596].start 7616.89971875
transcript.pyannote[1596].end 7618.03034375
transcript.pyannote[1597].speaker SPEAKER_01
transcript.pyannote[1597].start 7618.13159375
transcript.pyannote[1597].end 7625.65784375
transcript.pyannote[1598].speaker SPEAKER_01
transcript.pyannote[1598].start 7625.87721875
transcript.pyannote[1598].end 7627.81784375
transcript.pyannote[1599].speaker SPEAKER_01
transcript.pyannote[1599].start 7628.47596875
transcript.pyannote[1599].end 7632.18846875
transcript.pyannote[1600].speaker SPEAKER_01
transcript.pyannote[1600].start 7632.52596875
transcript.pyannote[1600].end 7635.09096875
transcript.pyannote[1601].speaker SPEAKER_01
transcript.pyannote[1601].start 7635.39471875
transcript.pyannote[1601].end 7636.64346875
transcript.pyannote[1602].speaker SPEAKER_01
transcript.pyannote[1602].start 7637.20034375
transcript.pyannote[1602].end 7642.39784375
transcript.pyannote[1603].speaker SPEAKER_01
transcript.pyannote[1603].start 7642.60034375
transcript.pyannote[1603].end 7644.76034375
transcript.pyannote[1604].speaker SPEAKER_01
transcript.pyannote[1604].start 7645.19909375
transcript.pyannote[1604].end 7648.50659375
transcript.pyannote[1605].speaker SPEAKER_01
transcript.pyannote[1605].start 7648.81034375
transcript.pyannote[1605].end 7649.41784375
transcript.pyannote[1606].speaker SPEAKER_01
transcript.pyannote[1606].start 7649.94096875
transcript.pyannote[1606].end 7652.16846875
transcript.pyannote[1607].speaker SPEAKER_01
transcript.pyannote[1607].start 7652.25284375
transcript.pyannote[1607].end 7654.93596875
transcript.pyannote[1608].speaker SPEAKER_01
transcript.pyannote[1608].start 7655.27346875
transcript.pyannote[1608].end 7657.09596875
transcript.pyannote[1609].speaker SPEAKER_01
transcript.pyannote[1609].start 7657.41659375
transcript.pyannote[1609].end 7661.39909375
transcript.pyannote[1610].speaker SPEAKER_01
transcript.pyannote[1610].start 7661.75346875
transcript.pyannote[1610].end 7666.32659375
transcript.pyannote[1611].speaker SPEAKER_12
transcript.pyannote[1611].start 7666.44471875
transcript.pyannote[1611].end 7670.76471875
transcript.pyannote[1612].speaker SPEAKER_01
transcript.pyannote[1612].start 7667.67659375
transcript.pyannote[1612].end 7667.69346875
transcript.pyannote[1613].speaker SPEAKER_01
transcript.pyannote[1613].start 7668.89159375
transcript.pyannote[1613].end 7669.21221875
transcript.pyannote[1614].speaker SPEAKER_01
transcript.pyannote[1614].start 7669.95471875
transcript.pyannote[1614].end 7670.27534375
transcript.pyannote[1615].speaker SPEAKER_12
transcript.pyannote[1615].start 7671.86159375
transcript.pyannote[1615].end 7686.20534375
transcript.pyannote[1616].speaker SPEAKER_08
transcript.pyannote[1616].start 7674.89909375
transcript.pyannote[1616].end 7675.28721875
transcript.pyannote[1617].speaker SPEAKER_00
transcript.pyannote[1617].start 7675.28721875
transcript.pyannote[1617].end 7675.33784375
transcript.pyannote[1618].speaker SPEAKER_00
transcript.pyannote[1618].start 7677.10971875
transcript.pyannote[1618].end 7677.58221875
transcript.pyannote[1619].speaker SPEAKER_12
transcript.pyannote[1619].start 7686.27284375
transcript.pyannote[1619].end 7694.69346875
transcript.pyannote[1620].speaker SPEAKER_12
transcript.pyannote[1620].start 7694.92971875
transcript.pyannote[1620].end 7702.97909375
transcript.pyannote[1621].speaker SPEAKER_12
transcript.pyannote[1621].start 7703.19846875
transcript.pyannote[1621].end 7712.76659375
transcript.pyannote[1622].speaker SPEAKER_12
transcript.pyannote[1622].start 7713.45846875
transcript.pyannote[1622].end 7714.52159375
transcript.pyannote[1623].speaker SPEAKER_12
transcript.pyannote[1623].start 7714.84221875
transcript.pyannote[1623].end 7715.65221875
transcript.pyannote[1624].speaker SPEAKER_12
transcript.pyannote[1624].start 7716.09096875
transcript.pyannote[1624].end 7721.54159375
transcript.pyannote[1625].speaker SPEAKER_12
transcript.pyannote[1625].start 7721.64284375
transcript.pyannote[1625].end 7729.03409375
transcript.pyannote[1626].speaker SPEAKER_12
transcript.pyannote[1626].start 7729.30409375
transcript.pyannote[1626].end 7735.02471875
transcript.pyannote[1627].speaker SPEAKER_12
transcript.pyannote[1627].start 7736.20596875
transcript.pyannote[1627].end 7738.11284375
transcript.pyannote[1628].speaker SPEAKER_12
transcript.pyannote[1628].start 7738.51784375
transcript.pyannote[1628].end 7739.26034375
transcript.pyannote[1629].speaker SPEAKER_12
transcript.pyannote[1629].start 7740.82971875
transcript.pyannote[1629].end 7741.35284375
transcript.pyannote[1630].speaker SPEAKER_12
transcript.pyannote[1630].start 7741.55534375
transcript.pyannote[1630].end 7754.19471875
transcript.pyannote[1631].speaker SPEAKER_12
transcript.pyannote[1631].start 7754.75159375
transcript.pyannote[1631].end 7757.40096875
transcript.pyannote[1632].speaker SPEAKER_12
transcript.pyannote[1632].start 7757.92409375
transcript.pyannote[1632].end 7787.11784375
transcript.pyannote[1633].speaker SPEAKER_01
transcript.pyannote[1633].start 7787.08409375
transcript.pyannote[1633].end 7792.83846875
transcript.pyannote[1634].speaker SPEAKER_01
transcript.pyannote[1634].start 7793.39534375
transcript.pyannote[1634].end 7795.72409375
transcript.pyannote[1635].speaker SPEAKER_01
transcript.pyannote[1635].start 7795.92659375
transcript.pyannote[1635].end 7798.94721875
transcript.pyannote[1636].speaker SPEAKER_01
transcript.pyannote[1636].start 7799.20034375
transcript.pyannote[1636].end 7801.36034375
transcript.pyannote[1637].speaker SPEAKER_01
transcript.pyannote[1637].start 7801.41096875
transcript.pyannote[1637].end 7803.63846875
transcript.pyannote[1638].speaker SPEAKER_01
transcript.pyannote[1638].start 7803.70596875
transcript.pyannote[1638].end 7805.44409375
transcript.pyannote[1639].speaker SPEAKER_01
transcript.pyannote[1639].start 7805.81534375
transcript.pyannote[1639].end 7807.04721875
transcript.pyannote[1640].speaker SPEAKER_01
transcript.pyannote[1640].start 7807.38471875
transcript.pyannote[1640].end 7808.11034375
transcript.pyannote[1641].speaker SPEAKER_01
transcript.pyannote[1641].start 7808.41409375
transcript.pyannote[1641].end 7811.31659375
transcript.pyannote[1642].speaker SPEAKER_01
transcript.pyannote[1642].start 7811.53596875
transcript.pyannote[1642].end 7815.94034375
transcript.pyannote[1643].speaker SPEAKER_12
transcript.pyannote[1643].start 7816.10909375
transcript.pyannote[1643].end 7821.54284375
transcript.pyannote[1644].speaker SPEAKER_01
transcript.pyannote[1644].start 7816.14284375
transcript.pyannote[1644].end 7816.17659375
transcript.pyannote[1645].speaker SPEAKER_01
transcript.pyannote[1645].start 7816.53096875
transcript.pyannote[1645].end 7816.75034375
transcript.pyannote[1646].speaker SPEAKER_01
transcript.pyannote[1646].start 7820.61471875
transcript.pyannote[1646].end 7821.03659375
transcript.pyannote[1647].speaker SPEAKER_01
transcript.pyannote[1647].start 7821.54284375
transcript.pyannote[1647].end 7821.72846875
transcript.pyannote[1648].speaker SPEAKER_13
transcript.pyannote[1648].start 7823.31471875
transcript.pyannote[1648].end 7826.18346875
transcript.pyannote[1649].speaker SPEAKER_13
transcript.pyannote[1649].start 7826.65596875
transcript.pyannote[1649].end 7827.38159375
transcript.pyannote[1650].speaker SPEAKER_13
transcript.pyannote[1650].start 7827.68534375
transcript.pyannote[1650].end 7829.50784375
transcript.pyannote[1651].speaker SPEAKER_13
transcript.pyannote[1651].start 7829.55846875
transcript.pyannote[1651].end 7837.45596875
transcript.pyannote[1652].speaker SPEAKER_13
transcript.pyannote[1652].start 7837.86096875
transcript.pyannote[1652].end 7838.50221875
transcript.pyannote[1653].speaker SPEAKER_13
transcript.pyannote[1653].start 7838.58659375
transcript.pyannote[1653].end 7839.27846875
transcript.pyannote[1654].speaker SPEAKER_13
transcript.pyannote[1654].start 7839.61596875
transcript.pyannote[1654].end 7842.85596875
transcript.pyannote[1655].speaker SPEAKER_13
transcript.pyannote[1655].start 7847.26034375
transcript.pyannote[1655].end 7850.04471875
transcript.pyannote[1656].speaker SPEAKER_15
transcript.pyannote[1656].start 7850.82096875
transcript.pyannote[1656].end 7856.72721875
transcript.pyannote[1657].speaker SPEAKER_13
transcript.pyannote[1657].start 7857.57096875
transcript.pyannote[1657].end 7858.29659375
transcript.pyannote[1658].speaker SPEAKER_15
transcript.pyannote[1658].start 7864.60784375
transcript.pyannote[1658].end 7865.09721875
transcript.pyannote[1659].speaker SPEAKER_04
transcript.pyannote[1659].start 7864.62471875
transcript.pyannote[1659].end 7865.16471875
transcript.pyannote[1660].speaker SPEAKER_15
transcript.pyannote[1660].start 7865.28284375
transcript.pyannote[1660].end 7887.64221875
transcript.pyannote[1661].speaker SPEAKER_15
transcript.pyannote[1661].start 7888.09784375
transcript.pyannote[1661].end 7929.07034375
transcript.pyannote[1662].speaker SPEAKER_15
transcript.pyannote[1662].start 7929.37409375
transcript.pyannote[1662].end 7997.29596875
transcript.pyannote[1663].speaker SPEAKER_00
transcript.pyannote[1663].start 7988.48721875
transcript.pyannote[1663].end 7988.77409375
transcript.pyannote[1664].speaker SPEAKER_15
transcript.pyannote[1664].start 7998.05534375
transcript.pyannote[1664].end 7999.25346875
transcript.pyannote[1665].speaker SPEAKER_04
transcript.pyannote[1665].start 8000.77221875
transcript.pyannote[1665].end 8002.25721875
transcript.pyannote[1666].speaker SPEAKER_04
transcript.pyannote[1666].start 8003.67471875
transcript.pyannote[1666].end 8006.89784375
transcript.pyannote[1667].speaker SPEAKER_04
transcript.pyannote[1667].start 8007.85971875
transcript.pyannote[1667].end 8012.46659375
transcript.pyannote[1668].speaker SPEAKER_04
transcript.pyannote[1668].start 8012.93909375
transcript.pyannote[1668].end 8014.03596875
transcript.pyannote[1669].speaker SPEAKER_04
transcript.pyannote[1669].start 8014.94721875
transcript.pyannote[1669].end 8019.82409375
transcript.pyannote[1670].speaker SPEAKER_00
transcript.pyannote[1670].start 8018.92971875
transcript.pyannote[1670].end 8019.25034375
transcript.pyannote[1671].speaker SPEAKER_04
transcript.pyannote[1671].start 8019.87471875
transcript.pyannote[1671].end 8020.36409375
transcript.pyannote[1672].speaker SPEAKER_04
transcript.pyannote[1672].start 8021.25846875
transcript.pyannote[1672].end 8022.96284375
transcript.pyannote[1673].speaker SPEAKER_04
transcript.pyannote[1673].start 8023.40159375
transcript.pyannote[1673].end 8025.96659375
transcript.pyannote[1674].speaker SPEAKER_04
transcript.pyannote[1674].start 8026.54034375
transcript.pyannote[1674].end 8029.81409375
transcript.pyannote[1675].speaker SPEAKER_04
transcript.pyannote[1675].start 8030.03346875
transcript.pyannote[1675].end 8035.68659375
transcript.pyannote[1676].speaker SPEAKER_04
transcript.pyannote[1676].start 8036.59784375
transcript.pyannote[1676].end 8040.78284375
transcript.pyannote[1677].speaker SPEAKER_04
transcript.pyannote[1677].start 8041.52534375
transcript.pyannote[1677].end 8042.53784375
transcript.pyannote[1678].speaker SPEAKER_04
transcript.pyannote[1678].start 8043.01034375
transcript.pyannote[1678].end 8044.88346875
transcript.pyannote[1679].speaker SPEAKER_04
transcript.pyannote[1679].start 8045.71034375
transcript.pyannote[1679].end 8050.33409375
transcript.pyannote[1680].speaker SPEAKER_04
transcript.pyannote[1680].start 8050.58721875
transcript.pyannote[1680].end 8055.32909375
transcript.pyannote[1681].speaker SPEAKER_04
transcript.pyannote[1681].start 8057.06721875
transcript.pyannote[1681].end 8058.19784375
transcript.pyannote[1682].speaker SPEAKER_04
transcript.pyannote[1682].start 8058.45096875
transcript.pyannote[1682].end 8059.56471875
transcript.pyannote[1683].speaker SPEAKER_04
transcript.pyannote[1683].start 8060.29034375
transcript.pyannote[1683].end 8061.94409375
transcript.pyannote[1684].speaker SPEAKER_04
transcript.pyannote[1684].start 8062.33221875
transcript.pyannote[1684].end 8064.59346875
transcript.pyannote[1685].speaker SPEAKER_04
transcript.pyannote[1685].start 8065.57221875
transcript.pyannote[1685].end 8067.14159375
transcript.pyannote[1686].speaker SPEAKER_04
transcript.pyannote[1686].start 8067.27659375
transcript.pyannote[1686].end 8069.48721875
transcript.pyannote[1687].speaker SPEAKER_04
transcript.pyannote[1687].start 8070.29721875
transcript.pyannote[1687].end 8071.36034375
transcript.pyannote[1688].speaker SPEAKER_15
transcript.pyannote[1688].start 8070.31409375
transcript.pyannote[1688].end 8073.19971875
transcript.pyannote[1689].speaker SPEAKER_04
transcript.pyannote[1689].start 8073.19971875
transcript.pyannote[1689].end 8087.40846875
transcript.pyannote[1690].speaker SPEAKER_04
transcript.pyannote[1690].start 8087.61096875
transcript.pyannote[1690].end 8096.95971875
transcript.pyannote[1691].speaker SPEAKER_15
transcript.pyannote[1691].start 8098.95096875
transcript.pyannote[1691].end 8103.05159375
transcript.pyannote[1692].speaker SPEAKER_04
transcript.pyannote[1692].start 8104.24971875
transcript.pyannote[1692].end 8106.57846875
transcript.pyannote[1693].speaker SPEAKER_15
transcript.pyannote[1693].start 8106.07221875
transcript.pyannote[1693].end 8115.42096875
transcript.pyannote[1694].speaker SPEAKER_04
transcript.pyannote[1694].start 8117.83409375
transcript.pyannote[1694].end 8118.72846875
transcript.pyannote[1695].speaker SPEAKER_04
transcript.pyannote[1695].start 8119.36971875
transcript.pyannote[1695].end 8124.80346875
transcript.pyannote[1696].speaker SPEAKER_15
transcript.pyannote[1696].start 8124.56721875
transcript.pyannote[1696].end 8126.00159375
transcript.pyannote[1697].speaker SPEAKER_04
transcript.pyannote[1697].start 8124.88784375
transcript.pyannote[1697].end 8128.04346875
transcript.pyannote[1698].speaker SPEAKER_04
transcript.pyannote[1698].start 8128.81971875
transcript.pyannote[1698].end 8129.41034375
transcript.pyannote[1699].speaker SPEAKER_04
transcript.pyannote[1699].start 8129.81534375
transcript.pyannote[1699].end 8131.14846875
transcript.pyannote[1700].speaker SPEAKER_04
transcript.pyannote[1700].start 8131.31721875
transcript.pyannote[1700].end 8135.58659375
transcript.pyannote[1701].speaker SPEAKER_04
transcript.pyannote[1701].start 8135.92409375
transcript.pyannote[1701].end 8140.10909375
transcript.pyannote[1702].speaker SPEAKER_04
transcript.pyannote[1702].start 8140.48034375
transcript.pyannote[1702].end 8142.01596875
transcript.pyannote[1703].speaker SPEAKER_04
transcript.pyannote[1703].start 8142.38721875
transcript.pyannote[1703].end 8144.19284375
transcript.pyannote[1704].speaker SPEAKER_04
transcript.pyannote[1704].start 8144.56409375
transcript.pyannote[1704].end 8145.98159375
transcript.pyannote[1705].speaker SPEAKER_04
transcript.pyannote[1705].start 8146.33596875
transcript.pyannote[1705].end 8146.74096875
transcript.pyannote[1706].speaker SPEAKER_04
transcript.pyannote[1706].start 8147.46659375
transcript.pyannote[1706].end 8148.91784375
transcript.pyannote[1707].speaker SPEAKER_04
transcript.pyannote[1707].start 8149.32284375
transcript.pyannote[1707].end 8150.01471875
transcript.pyannote[1708].speaker SPEAKER_15
transcript.pyannote[1708].start 8149.76159375
transcript.pyannote[1708].end 8151.21284375
transcript.pyannote[1709].speaker SPEAKER_15
transcript.pyannote[1709].start 8152.37721875
transcript.pyannote[1709].end 8169.99471875
transcript.pyannote[1710].speaker SPEAKER_00
transcript.pyannote[1710].start 8165.47221875
transcript.pyannote[1710].end 8166.02909375
transcript.pyannote[1711].speaker SPEAKER_15
transcript.pyannote[1711].start 8170.39971875
transcript.pyannote[1711].end 8172.35721875
transcript.pyannote[1712].speaker SPEAKER_15
transcript.pyannote[1712].start 8172.59346875
transcript.pyannote[1712].end 8199.54284375
transcript.pyannote[1713].speaker SPEAKER_15
transcript.pyannote[1713].start 8199.88034375
transcript.pyannote[1713].end 8203.50846875
transcript.pyannote[1714].speaker SPEAKER_04
transcript.pyannote[1714].start 8203.87971875
transcript.pyannote[1714].end 8204.60534375
transcript.pyannote[1715].speaker SPEAKER_04
transcript.pyannote[1715].start 8205.22971875
transcript.pyannote[1715].end 8209.43159375
transcript.pyannote[1716].speaker SPEAKER_15
transcript.pyannote[1716].start 8205.53346875
transcript.pyannote[1716].end 8205.98909375
transcript.pyannote[1717].speaker SPEAKER_15
transcript.pyannote[1717].start 8206.90034375
transcript.pyannote[1717].end 8207.72721875
transcript.pyannote[1718].speaker SPEAKER_15
transcript.pyannote[1718].start 8208.89159375
transcript.pyannote[1718].end 8210.27534375
transcript.pyannote[1719].speaker SPEAKER_04
transcript.pyannote[1719].start 8209.85346875
transcript.pyannote[1719].end 8211.06846875
transcript.pyannote[1720].speaker SPEAKER_15
transcript.pyannote[1720].start 8210.98409375
transcript.pyannote[1720].end 8230.15409375
transcript.pyannote[1721].speaker SPEAKER_04
transcript.pyannote[1721].start 8216.21534375
transcript.pyannote[1721].end 8216.65409375
transcript.pyannote[1722].speaker SPEAKER_00
transcript.pyannote[1722].start 8216.65409375
transcript.pyannote[1722].end 8216.67096875
transcript.pyannote[1723].speaker SPEAKER_00
transcript.pyannote[1723].start 8217.86909375
transcript.pyannote[1723].end 8218.42596875
transcript.pyannote[1724].speaker SPEAKER_00
transcript.pyannote[1724].start 8219.84346875
transcript.pyannote[1724].end 8220.02909375
transcript.pyannote[1725].speaker SPEAKER_08
transcript.pyannote[1725].start 8220.02909375
transcript.pyannote[1725].end 8220.43409375
transcript.pyannote[1726].speaker SPEAKER_08
transcript.pyannote[1726].start 8225.44596875
transcript.pyannote[1726].end 8226.10409375
transcript.pyannote[1727].speaker SPEAKER_08
transcript.pyannote[1727].start 8226.13784375
transcript.pyannote[1727].end 8226.47534375
transcript.pyannote[1728].speaker SPEAKER_08
transcript.pyannote[1728].start 8230.13721875
transcript.pyannote[1728].end 8230.57596875
transcript.pyannote[1729].speaker SPEAKER_15
transcript.pyannote[1729].start 8230.57596875
transcript.pyannote[1729].end 8247.94034375
transcript.pyannote[1730].speaker SPEAKER_08
transcript.pyannote[1730].start 8230.59284375
transcript.pyannote[1730].end 8230.67721875
transcript.pyannote[1731].speaker SPEAKER_04
transcript.pyannote[1731].start 8248.63221875
transcript.pyannote[1731].end 8250.85971875
transcript.pyannote[1732].speaker SPEAKER_15
transcript.pyannote[1732].start 8251.28159375
transcript.pyannote[1732].end 8251.38284375
transcript.pyannote[1733].speaker SPEAKER_04
transcript.pyannote[1733].start 8251.38284375
transcript.pyannote[1733].end 8255.88846875
transcript.pyannote[1734].speaker SPEAKER_15
transcript.pyannote[1734].start 8251.43346875
transcript.pyannote[1734].end 8251.97346875
transcript.pyannote[1735].speaker SPEAKER_08
transcript.pyannote[1735].start 8251.97346875
transcript.pyannote[1735].end 8252.68221875
transcript.pyannote[1736].speaker SPEAKER_04
transcript.pyannote[1736].start 8256.15846875
transcript.pyannote[1736].end 8258.36909375
transcript.pyannote[1737].speaker SPEAKER_04
transcript.pyannote[1737].start 8258.60534375
transcript.pyannote[1737].end 8261.30534375
transcript.pyannote[1738].speaker SPEAKER_04
transcript.pyannote[1738].start 8261.65971875
transcript.pyannote[1738].end 8271.49784375
transcript.pyannote[1739].speaker SPEAKER_04
transcript.pyannote[1739].start 8271.59909375
transcript.pyannote[1739].end 8273.64096875
transcript.pyannote[1740].speaker SPEAKER_04
transcript.pyannote[1740].start 8274.41721875
transcript.pyannote[1740].end 8276.67846875
transcript.pyannote[1741].speaker SPEAKER_15
transcript.pyannote[1741].start 8276.66159375
transcript.pyannote[1741].end 8282.66909375
transcript.pyannote[1742].speaker SPEAKER_04
transcript.pyannote[1742].start 8282.50034375
transcript.pyannote[1742].end 8284.99784375
transcript.pyannote[1743].speaker SPEAKER_04
transcript.pyannote[1743].start 8285.63909375
transcript.pyannote[1743].end 8289.52034375
transcript.pyannote[1744].speaker SPEAKER_04
transcript.pyannote[1744].start 8289.82409375
transcript.pyannote[1744].end 8291.52846875
transcript.pyannote[1745].speaker SPEAKER_04
transcript.pyannote[1745].start 8291.57909375
transcript.pyannote[1745].end 8294.00909375
transcript.pyannote[1746].speaker SPEAKER_04
transcript.pyannote[1746].start 8294.05971875
transcript.pyannote[1746].end 8294.81909375
transcript.pyannote[1747].speaker SPEAKER_04
transcript.pyannote[1747].start 8295.32534375
transcript.pyannote[1747].end 8304.40409375
transcript.pyannote[1748].speaker SPEAKER_04
transcript.pyannote[1748].start 8304.82596875
transcript.pyannote[1748].end 8314.68096875
transcript.pyannote[1749].speaker SPEAKER_04
transcript.pyannote[1749].start 8315.05221875
transcript.pyannote[1749].end 8318.00534375
transcript.pyannote[1750].speaker SPEAKER_15
transcript.pyannote[1750].start 8317.61721875
transcript.pyannote[1750].end 8324.18159375
transcript.pyannote[1751].speaker SPEAKER_15
transcript.pyannote[1751].start 8324.28284375
transcript.pyannote[1751].end 8328.33284375
transcript.pyannote[1752].speaker SPEAKER_04
transcript.pyannote[1752].start 8326.12221875
transcript.pyannote[1752].end 8329.07534375
transcript.pyannote[1753].speaker SPEAKER_15
transcript.pyannote[1753].start 8328.78846875
transcript.pyannote[1753].end 8332.24784375
transcript.pyannote[1754].speaker SPEAKER_15
transcript.pyannote[1754].start 8332.31534375
transcript.pyannote[1754].end 8353.20659375
transcript.pyannote[1755].speaker SPEAKER_15
transcript.pyannote[1755].start 8354.05034375
transcript.pyannote[1755].end 8381.40471875
transcript.pyannote[1756].speaker SPEAKER_00
transcript.pyannote[1756].start 8371.61721875
transcript.pyannote[1756].end 8371.93784375
transcript.pyannote[1757].speaker SPEAKER_04
transcript.pyannote[1757].start 8382.36659375
transcript.pyannote[1757].end 8386.61909375
transcript.pyannote[1758].speaker SPEAKER_15
transcript.pyannote[1758].start 8386.55159375
transcript.pyannote[1758].end 8386.92284375
transcript.pyannote[1759].speaker SPEAKER_04
transcript.pyannote[1759].start 8386.92284375
transcript.pyannote[1759].end 8390.97284375
transcript.pyannote[1760].speaker SPEAKER_04
transcript.pyannote[1760].start 8391.79971875
transcript.pyannote[1760].end 8394.17909375
transcript.pyannote[1761].speaker SPEAKER_04
transcript.pyannote[1761].start 8394.38159375
transcript.pyannote[1761].end 8395.71471875
transcript.pyannote[1762].speaker SPEAKER_04
transcript.pyannote[1762].start 8396.52471875
transcript.pyannote[1762].end 8405.73846875
transcript.pyannote[1763].speaker SPEAKER_04
transcript.pyannote[1763].start 8406.09284375
transcript.pyannote[1763].end 8420.50409375
transcript.pyannote[1764].speaker SPEAKER_08
transcript.pyannote[1764].start 8408.77596875
transcript.pyannote[1764].end 8408.96159375
transcript.pyannote[1765].speaker SPEAKER_15
transcript.pyannote[1765].start 8419.55909375
transcript.pyannote[1765].end 8424.09846875
transcript.pyannote[1766].speaker SPEAKER_15
transcript.pyannote[1766].start 8425.14471875
transcript.pyannote[1766].end 8426.24159375
transcript.pyannote[1767].speaker SPEAKER_04
transcript.pyannote[1767].start 8426.44409375
transcript.pyannote[1767].end 8427.28784375
transcript.pyannote[1768].speaker SPEAKER_15
transcript.pyannote[1768].start 8427.49034375
transcript.pyannote[1768].end 8428.67159375
transcript.pyannote[1769].speaker SPEAKER_04
transcript.pyannote[1769].start 8429.00909375
transcript.pyannote[1769].end 8429.80221875
transcript.pyannote[1770].speaker SPEAKER_04
transcript.pyannote[1770].start 8429.86971875
transcript.pyannote[1770].end 8431.89471875
transcript.pyannote[1771].speaker SPEAKER_15
transcript.pyannote[1771].start 8432.97471875
transcript.pyannote[1771].end 8440.28159375
transcript.pyannote[1772].speaker SPEAKER_04
transcript.pyannote[1772].start 8439.84284375
transcript.pyannote[1772].end 8442.10409375
transcript.pyannote[1773].speaker SPEAKER_15
transcript.pyannote[1773].start 8441.41221875
transcript.pyannote[1773].end 8443.99409375
transcript.pyannote[1774].speaker SPEAKER_04
transcript.pyannote[1774].start 8442.39096875
transcript.pyannote[1774].end 8443.72409375
transcript.pyannote[1775].speaker SPEAKER_15
transcript.pyannote[1775].start 8444.65221875
transcript.pyannote[1775].end 8453.22471875
transcript.pyannote[1776].speaker SPEAKER_04
transcript.pyannote[1776].start 8448.19596875
transcript.pyannote[1776].end 8448.53346875
transcript.pyannote[1777].speaker SPEAKER_08
transcript.pyannote[1777].start 8448.53346875
transcript.pyannote[1777].end 8448.56721875
transcript.pyannote[1778].speaker SPEAKER_00
transcript.pyannote[1778].start 8448.56721875
transcript.pyannote[1778].end 8448.60096875
transcript.pyannote[1779].speaker SPEAKER_15
transcript.pyannote[1779].start 8454.84471875
transcript.pyannote[1779].end 8462.28659375
transcript.pyannote[1780].speaker SPEAKER_04
transcript.pyannote[1780].start 8462.10096875
transcript.pyannote[1780].end 8464.68284375
transcript.pyannote[1781].speaker SPEAKER_04
transcript.pyannote[1781].start 8465.17221875
transcript.pyannote[1781].end 8470.40346875
transcript.pyannote[1782].speaker SPEAKER_04
transcript.pyannote[1782].start 8471.29784375
transcript.pyannote[1782].end 8474.50409375
transcript.pyannote[1783].speaker SPEAKER_04
transcript.pyannote[1783].start 8474.94284375
transcript.pyannote[1783].end 8476.07346875
transcript.pyannote[1784].speaker SPEAKER_04
transcript.pyannote[1784].start 8476.69784375
transcript.pyannote[1784].end 8479.90409375
transcript.pyannote[1785].speaker SPEAKER_04
transcript.pyannote[1785].start 8481.74346875
transcript.pyannote[1785].end 8484.10596875
transcript.pyannote[1786].speaker SPEAKER_04
transcript.pyannote[1786].start 8484.54471875
transcript.pyannote[1786].end 8489.38784375
transcript.pyannote[1787].speaker SPEAKER_04
transcript.pyannote[1787].start 8490.01221875
transcript.pyannote[1787].end 8493.10034375
transcript.pyannote[1788].speaker SPEAKER_04
transcript.pyannote[1788].start 8493.70784375
transcript.pyannote[1788].end 8495.14221875
transcript.pyannote[1789].speaker SPEAKER_04
transcript.pyannote[1789].start 8495.32784375
transcript.pyannote[1789].end 8495.96909375
transcript.pyannote[1790].speaker SPEAKER_04
transcript.pyannote[1790].start 8497.09971875
transcript.pyannote[1790].end 8499.10784375
transcript.pyannote[1791].speaker SPEAKER_04
transcript.pyannote[1791].start 8499.78284375
transcript.pyannote[1791].end 8501.55471875
transcript.pyannote[1792].speaker SPEAKER_04
transcript.pyannote[1792].start 8502.01034375
transcript.pyannote[1792].end 8504.86221875
transcript.pyannote[1793].speaker SPEAKER_04
transcript.pyannote[1793].start 8505.58784375
transcript.pyannote[1793].end 8509.51971875
transcript.pyannote[1794].speaker SPEAKER_15
transcript.pyannote[1794].start 8510.09346875
transcript.pyannote[1794].end 8510.41409375
transcript.pyannote[1795].speaker SPEAKER_15
transcript.pyannote[1795].start 8510.93721875
transcript.pyannote[1795].end 8513.97471875
transcript.pyannote[1796].speaker SPEAKER_15
transcript.pyannote[1796].start 8514.43034375
transcript.pyannote[1796].end 8549.98596875
transcript.pyannote[1797].speaker SPEAKER_04
transcript.pyannote[1797].start 8550.17159375
transcript.pyannote[1797].end 8551.67346875
transcript.pyannote[1798].speaker SPEAKER_04
transcript.pyannote[1798].start 8551.79159375
transcript.pyannote[1798].end 8552.14596875
transcript.pyannote[1799].speaker SPEAKER_15
transcript.pyannote[1799].start 8552.38221875
transcript.pyannote[1799].end 8553.15846875
transcript.pyannote[1800].speaker SPEAKER_04
transcript.pyannote[1800].start 8553.15846875
transcript.pyannote[1800].end 8554.91346875
transcript.pyannote[1801].speaker SPEAKER_15
transcript.pyannote[1801].start 8555.09909375
transcript.pyannote[1801].end 8558.84534375
transcript.pyannote[1802].speaker SPEAKER_15
transcript.pyannote[1802].start 8559.72284375
transcript.pyannote[1802].end 8561.22471875
transcript.pyannote[1803].speaker SPEAKER_13
transcript.pyannote[1803].start 8559.79034375
transcript.pyannote[1803].end 8565.78096875
transcript.pyannote[1804].speaker SPEAKER_08
transcript.pyannote[1804].start 8567.21534375
transcript.pyannote[1804].end 8567.31659375
transcript.pyannote[1805].speaker SPEAKER_21
transcript.pyannote[1805].start 8571.97409375
transcript.pyannote[1805].end 8575.83846875
transcript.pyannote[1806].speaker SPEAKER_13
transcript.pyannote[1806].start 8576.58096875
transcript.pyannote[1806].end 8577.59346875
transcript.pyannote[1807].speaker SPEAKER_21
transcript.pyannote[1807].start 8583.04409375
transcript.pyannote[1807].end 8585.17034375
transcript.pyannote[1808].speaker SPEAKER_04
transcript.pyannote[1808].start 8584.37721875
transcript.pyannote[1808].end 8585.33909375
transcript.pyannote[1809].speaker SPEAKER_21
transcript.pyannote[1809].start 8585.33909375
transcript.pyannote[1809].end 8585.35596875
transcript.pyannote[1810].speaker SPEAKER_21
transcript.pyannote[1810].start 8585.47409375
transcript.pyannote[1810].end 8586.06471875
transcript.pyannote[1811].speaker SPEAKER_21
transcript.pyannote[1811].start 8587.41471875
transcript.pyannote[1811].end 8596.25721875
transcript.pyannote[1812].speaker SPEAKER_21
transcript.pyannote[1812].start 8596.66221875
transcript.pyannote[1812].end 8597.60721875
transcript.pyannote[1813].speaker SPEAKER_21
transcript.pyannote[1813].start 8597.75909375
transcript.pyannote[1813].end 8602.04534375
transcript.pyannote[1814].speaker SPEAKER_21
transcript.pyannote[1814].start 8602.33221875
transcript.pyannote[1814].end 8608.28909375
transcript.pyannote[1815].speaker SPEAKER_21
transcript.pyannote[1815].start 8608.91346875
transcript.pyannote[1815].end 8612.27159375
transcript.pyannote[1816].speaker SPEAKER_21
transcript.pyannote[1816].start 8612.54159375
transcript.pyannote[1816].end 8615.17409375
transcript.pyannote[1817].speaker SPEAKER_21
transcript.pyannote[1817].start 8615.78159375
transcript.pyannote[1817].end 8620.18596875
transcript.pyannote[1818].speaker SPEAKER_21
transcript.pyannote[1818].start 8620.74284375
transcript.pyannote[1818].end 8627.99909375
transcript.pyannote[1819].speaker SPEAKER_21
transcript.pyannote[1819].start 8628.25221875
transcript.pyannote[1819].end 8633.87159375
transcript.pyannote[1820].speaker SPEAKER_21
transcript.pyannote[1820].start 8634.37784375
transcript.pyannote[1820].end 8639.22096875
transcript.pyannote[1821].speaker SPEAKER_21
transcript.pyannote[1821].start 8639.65971875
transcript.pyannote[1821].end 8647.38846875
transcript.pyannote[1822].speaker SPEAKER_21
transcript.pyannote[1822].start 8647.79346875
transcript.pyannote[1822].end 8658.25596875
transcript.pyannote[1823].speaker SPEAKER_21
transcript.pyannote[1823].start 8658.55971875
transcript.pyannote[1823].end 8663.28471875
transcript.pyannote[1824].speaker SPEAKER_21
transcript.pyannote[1824].start 8663.87534375
transcript.pyannote[1824].end 8666.30534375
transcript.pyannote[1825].speaker SPEAKER_21
transcript.pyannote[1825].start 8666.60909375
transcript.pyannote[1825].end 8672.02596875
transcript.pyannote[1826].speaker SPEAKER_04
transcript.pyannote[1826].start 8672.95409375
transcript.pyannote[1826].end 8675.77221875
transcript.pyannote[1827].speaker SPEAKER_21
transcript.pyannote[1827].start 8676.66659375
transcript.pyannote[1827].end 8679.38346875
transcript.pyannote[1828].speaker SPEAKER_21
transcript.pyannote[1828].start 8679.97409375
transcript.pyannote[1828].end 8681.32409375
transcript.pyannote[1829].speaker SPEAKER_21
transcript.pyannote[1829].start 8681.98221875
transcript.pyannote[1829].end 8683.14659375
transcript.pyannote[1830].speaker SPEAKER_04
transcript.pyannote[1830].start 8683.50096875
transcript.pyannote[1830].end 8683.78784375
transcript.pyannote[1831].speaker SPEAKER_21
transcript.pyannote[1831].start 8683.88909375
transcript.pyannote[1831].end 8693.38971875
transcript.pyannote[1832].speaker SPEAKER_21
transcript.pyannote[1832].start 8693.86221875
transcript.pyannote[1832].end 8695.16159375
transcript.pyannote[1833].speaker SPEAKER_21
transcript.pyannote[1833].start 8695.70159375
transcript.pyannote[1833].end 8700.37596875
transcript.pyannote[1834].speaker SPEAKER_21
transcript.pyannote[1834].start 8700.79784375
transcript.pyannote[1834].end 8709.16784375
transcript.pyannote[1835].speaker SPEAKER_21
transcript.pyannote[1835].start 8709.37034375
transcript.pyannote[1835].end 8712.00284375
transcript.pyannote[1836].speaker SPEAKER_21
transcript.pyannote[1836].start 8712.44159375
transcript.pyannote[1836].end 8715.79971875
transcript.pyannote[1837].speaker SPEAKER_21
transcript.pyannote[1837].start 8716.17096875
transcript.pyannote[1837].end 8718.28034375
transcript.pyannote[1838].speaker SPEAKER_21
transcript.pyannote[1838].start 8718.60096875
transcript.pyannote[1838].end 8730.21096875
transcript.pyannote[1839].speaker SPEAKER_21
transcript.pyannote[1839].start 8730.56534375
transcript.pyannote[1839].end 8738.14221875
transcript.pyannote[1840].speaker SPEAKER_04
transcript.pyannote[1840].start 8738.14221875
transcript.pyannote[1840].end 8738.46284375
transcript.pyannote[1841].speaker SPEAKER_04
transcript.pyannote[1841].start 8739.25596875
transcript.pyannote[1841].end 8740.03221875
transcript.pyannote[1842].speaker SPEAKER_04
transcript.pyannote[1842].start 8742.12471875
transcript.pyannote[1842].end 8744.13284375
transcript.pyannote[1843].speaker SPEAKER_04
transcript.pyannote[1843].start 8744.70659375
transcript.pyannote[1843].end 8745.44909375
transcript.pyannote[1844].speaker SPEAKER_04
transcript.pyannote[1844].start 8748.08159375
transcript.pyannote[1844].end 8755.11846875
transcript.pyannote[1845].speaker SPEAKER_04
transcript.pyannote[1845].start 8755.47284375
transcript.pyannote[1845].end 8756.33346875
transcript.pyannote[1846].speaker SPEAKER_04
transcript.pyannote[1846].start 8756.78909375
transcript.pyannote[1846].end 8759.32034375
transcript.pyannote[1847].speaker SPEAKER_04
transcript.pyannote[1847].start 8759.59034375
transcript.pyannote[1847].end 8759.60721875
transcript.pyannote[1848].speaker SPEAKER_21
transcript.pyannote[1848].start 8759.60721875
transcript.pyannote[1848].end 8759.80971875
transcript.pyannote[1849].speaker SPEAKER_04
transcript.pyannote[1849].start 8759.80971875
transcript.pyannote[1849].end 8763.16784375
transcript.pyannote[1850].speaker SPEAKER_21
transcript.pyannote[1850].start 8759.86034375
transcript.pyannote[1850].end 8762.66159375
transcript.pyannote[1851].speaker SPEAKER_04
transcript.pyannote[1851].start 8763.40409375
transcript.pyannote[1851].end 8766.76221875
transcript.pyannote[1852].speaker SPEAKER_21
transcript.pyannote[1852].start 8767.43721875
transcript.pyannote[1852].end 8768.06159375
transcript.pyannote[1853].speaker SPEAKER_04
transcript.pyannote[1853].start 8768.06159375
transcript.pyannote[1853].end 8768.07846875
transcript.pyannote[1854].speaker SPEAKER_21
transcript.pyannote[1854].start 8768.07846875
transcript.pyannote[1854].end 8768.09534375
transcript.pyannote[1855].speaker SPEAKER_04
transcript.pyannote[1855].start 8768.09534375
transcript.pyannote[1855].end 8774.33909375
transcript.pyannote[1856].speaker SPEAKER_04
transcript.pyannote[1856].start 8774.89596875
transcript.pyannote[1856].end 8779.95846875
transcript.pyannote[1857].speaker SPEAKER_04
transcript.pyannote[1857].start 8780.53221875
transcript.pyannote[1857].end 8786.33721875
transcript.pyannote[1858].speaker SPEAKER_04
transcript.pyannote[1858].start 8787.16409375
transcript.pyannote[1858].end 8789.42534375
transcript.pyannote[1859].speaker SPEAKER_21
transcript.pyannote[1859].start 8788.86846875
transcript.pyannote[1859].end 8790.21846875
transcript.pyannote[1860].speaker SPEAKER_04
transcript.pyannote[1860].start 8790.58971875
transcript.pyannote[1860].end 8794.45409375
transcript.pyannote[1861].speaker SPEAKER_21
transcript.pyannote[1861].start 8793.86346875
transcript.pyannote[1861].end 8797.52534375
transcript.pyannote[1862].speaker SPEAKER_21
transcript.pyannote[1862].start 8798.20034375
transcript.pyannote[1862].end 8799.39846875
transcript.pyannote[1863].speaker SPEAKER_21
transcript.pyannote[1863].start 8799.70221875
transcript.pyannote[1863].end 8807.31284375
transcript.pyannote[1864].speaker SPEAKER_21
transcript.pyannote[1864].start 8807.83596875
transcript.pyannote[1864].end 8808.81471875
transcript.pyannote[1865].speaker SPEAKER_21
transcript.pyannote[1865].start 8809.30409375
transcript.pyannote[1865].end 8835.44346875
transcript.pyannote[1866].speaker SPEAKER_21
transcript.pyannote[1866].start 8836.37159375
transcript.pyannote[1866].end 8839.62846875
transcript.pyannote[1867].speaker SPEAKER_21
transcript.pyannote[1867].start 8839.94909375
transcript.pyannote[1867].end 8851.72784375
transcript.pyannote[1868].speaker SPEAKER_21
transcript.pyannote[1868].start 8851.98096875
transcript.pyannote[1868].end 8873.53034375
transcript.pyannote[1869].speaker SPEAKER_04
transcript.pyannote[1869].start 8875.23471875
transcript.pyannote[1869].end 8877.44534375
transcript.pyannote[1870].speaker SPEAKER_04
transcript.pyannote[1870].start 8878.15409375
transcript.pyannote[1870].end 8881.10721875
transcript.pyannote[1871].speaker SPEAKER_04
transcript.pyannote[1871].start 8881.69784375
transcript.pyannote[1871].end 8887.92471875
transcript.pyannote[1872].speaker SPEAKER_04
transcript.pyannote[1872].start 8888.41409375
transcript.pyannote[1872].end 8889.94971875
transcript.pyannote[1873].speaker SPEAKER_04
transcript.pyannote[1873].start 8890.74284375
transcript.pyannote[1873].end 8891.43471875
transcript.pyannote[1874].speaker SPEAKER_04
transcript.pyannote[1874].start 8892.63284375
transcript.pyannote[1874].end 8893.56096875
transcript.pyannote[1875].speaker SPEAKER_04
transcript.pyannote[1875].start 8894.74221875
transcript.pyannote[1875].end 8898.08346875
transcript.pyannote[1876].speaker SPEAKER_04
transcript.pyannote[1876].start 8898.16784375
transcript.pyannote[1876].end 8898.74159375
transcript.pyannote[1877].speaker SPEAKER_04
transcript.pyannote[1877].start 8898.96096875
transcript.pyannote[1877].end 8899.75409375
transcript.pyannote[1878].speaker SPEAKER_04
transcript.pyannote[1878].start 8900.32784375
transcript.pyannote[1878].end 8902.09971875
transcript.pyannote[1879].speaker SPEAKER_04
transcript.pyannote[1879].start 8902.38659375
transcript.pyannote[1879].end 8905.66034375
transcript.pyannote[1880].speaker SPEAKER_21
transcript.pyannote[1880].start 8904.61409375
transcript.pyannote[1880].end 8906.23409375
transcript.pyannote[1881].speaker SPEAKER_04
transcript.pyannote[1881].start 8906.13284375
transcript.pyannote[1881].end 8908.95096875
transcript.pyannote[1882].speaker SPEAKER_21
transcript.pyannote[1882].start 8909.22096875
transcript.pyannote[1882].end 8919.12659375
transcript.pyannote[1883].speaker SPEAKER_04
transcript.pyannote[1883].start 8918.56971875
transcript.pyannote[1883].end 8922.34971875
transcript.pyannote[1884].speaker SPEAKER_21
transcript.pyannote[1884].start 8922.19784375
transcript.pyannote[1884].end 8925.40409375
transcript.pyannote[1885].speaker SPEAKER_04
transcript.pyannote[1885].start 8925.40409375
transcript.pyannote[1885].end 8925.53909375
transcript.pyannote[1886].speaker SPEAKER_21
transcript.pyannote[1886].start 8925.53909375
transcript.pyannote[1886].end 8938.02659375
transcript.pyannote[1887].speaker SPEAKER_21
transcript.pyannote[1887].start 8938.24596875
transcript.pyannote[1887].end 8959.06971875
transcript.pyannote[1888].speaker SPEAKER_21
transcript.pyannote[1888].start 8959.55909375
transcript.pyannote[1888].end 8961.38159375
transcript.pyannote[1889].speaker SPEAKER_21
transcript.pyannote[1889].start 8961.65159375
transcript.pyannote[1889].end 8966.05596875
transcript.pyannote[1890].speaker SPEAKER_21
transcript.pyannote[1890].start 8966.54534375
transcript.pyannote[1890].end 8967.54096875
transcript.pyannote[1891].speaker SPEAKER_21
transcript.pyannote[1891].start 8967.81096875
transcript.pyannote[1891].end 8971.20284375
transcript.pyannote[1892].speaker SPEAKER_21
transcript.pyannote[1892].start 8971.50659375
transcript.pyannote[1892].end 8974.25721875
transcript.pyannote[1893].speaker SPEAKER_21
transcript.pyannote[1893].start 8974.51034375
transcript.pyannote[1893].end 9022.28346875
transcript.pyannote[1894].speaker SPEAKER_21
transcript.pyannote[1894].start 9022.33409375
transcript.pyannote[1894].end 9022.35096875
transcript.pyannote[1895].speaker SPEAKER_21
transcript.pyannote[1895].start 9022.38471875
transcript.pyannote[1895].end 9026.35034375
transcript.pyannote[1896].speaker SPEAKER_21
transcript.pyannote[1896].start 9027.22784375
transcript.pyannote[1896].end 9029.11784375
transcript.pyannote[1897].speaker SPEAKER_21
transcript.pyannote[1897].start 9029.77596875
transcript.pyannote[1897].end 9047.17409375
transcript.pyannote[1898].speaker SPEAKER_04
transcript.pyannote[1898].start 9049.62096875
transcript.pyannote[1898].end 9055.61159375
transcript.pyannote[1899].speaker SPEAKER_21
transcript.pyannote[1899].start 9053.50221875
transcript.pyannote[1899].end 9054.37971875
transcript.pyannote[1900].speaker SPEAKER_21
transcript.pyannote[1900].start 9055.24034375
transcript.pyannote[1900].end 9055.51034375
transcript.pyannote[1901].speaker SPEAKER_21
transcript.pyannote[1901].start 9055.61159375
transcript.pyannote[1901].end 9056.03346875
transcript.pyannote[1902].speaker SPEAKER_04
transcript.pyannote[1902].start 9056.03346875
transcript.pyannote[1902].end 9057.85596875
transcript.pyannote[1903].speaker SPEAKER_04
transcript.pyannote[1903].start 9058.83471875
transcript.pyannote[1903].end 9060.91034375
transcript.pyannote[1904].speaker SPEAKER_04
transcript.pyannote[1904].start 9061.34909375
transcript.pyannote[1904].end 9063.34034375
transcript.pyannote[1905].speaker SPEAKER_04
transcript.pyannote[1905].start 9063.88034375
transcript.pyannote[1905].end 9064.94346875
transcript.pyannote[1906].speaker SPEAKER_04
transcript.pyannote[1906].start 9065.75346875
transcript.pyannote[1906].end 9067.47471875
transcript.pyannote[1907].speaker SPEAKER_04
transcript.pyannote[1907].start 9068.38596875
transcript.pyannote[1907].end 9069.76971875
transcript.pyannote[1908].speaker SPEAKER_04
transcript.pyannote[1908].start 9069.93846875
transcript.pyannote[1908].end 9072.01409375
transcript.pyannote[1909].speaker SPEAKER_04
transcript.pyannote[1909].start 9072.57096875
transcript.pyannote[1909].end 9073.43159375
transcript.pyannote[1910].speaker SPEAKER_04
transcript.pyannote[1910].start 9073.70159375
transcript.pyannote[1910].end 9075.32159375
transcript.pyannote[1911].speaker SPEAKER_04
transcript.pyannote[1911].start 9075.52409375
transcript.pyannote[1911].end 9080.80596875
transcript.pyannote[1912].speaker SPEAKER_00
transcript.pyannote[1912].start 9075.64221875
transcript.pyannote[1912].end 9075.69284375
transcript.pyannote[1913].speaker SPEAKER_08
transcript.pyannote[1913].start 9075.69284375
transcript.pyannote[1913].end 9076.35096875
transcript.pyannote[1914].speaker SPEAKER_04
transcript.pyannote[1914].start 9081.31221875
transcript.pyannote[1914].end 9082.29096875
transcript.pyannote[1915].speaker SPEAKER_04
transcript.pyannote[1915].start 9082.64534375
transcript.pyannote[1915].end 9084.38346875
transcript.pyannote[1916].speaker SPEAKER_04
transcript.pyannote[1916].start 9084.53534375
transcript.pyannote[1916].end 9086.15534375
transcript.pyannote[1917].speaker SPEAKER_04
transcript.pyannote[1917].start 9086.44221875
transcript.pyannote[1917].end 9097.46159375
transcript.pyannote[1918].speaker SPEAKER_21
transcript.pyannote[1918].start 9094.66034375
transcript.pyannote[1918].end 9095.06534375
transcript.pyannote[1919].speaker SPEAKER_21
transcript.pyannote[1919].start 9097.76534375
transcript.pyannote[1919].end 9103.13159375
transcript.pyannote[1920].speaker SPEAKER_21
transcript.pyannote[1920].start 9103.53659375
transcript.pyannote[1920].end 9109.18971875
transcript.pyannote[1921].speaker SPEAKER_13
transcript.pyannote[1921].start 9110.48909375
transcript.pyannote[1921].end 9114.23534375
transcript.pyannote[1922].speaker SPEAKER_13
transcript.pyannote[1922].start 9114.37034375
transcript.pyannote[1922].end 9116.76659375
transcript.pyannote[1923].speaker SPEAKER_09
transcript.pyannote[1923].start 9124.12409375
transcript.pyannote[1923].end 9128.17409375
transcript.pyannote[1924].speaker SPEAKER_13
transcript.pyannote[1924].start 9129.00096875
transcript.pyannote[1924].end 9130.19909375
transcript.pyannote[1925].speaker SPEAKER_09
transcript.pyannote[1925].start 9130.99221875
transcript.pyannote[1925].end 9131.24534375
transcript.pyannote[1926].speaker SPEAKER_13
transcript.pyannote[1926].start 9133.97909375
transcript.pyannote[1926].end 9134.14784375
transcript.pyannote[1927].speaker SPEAKER_04
transcript.pyannote[1927].start 9134.14784375
transcript.pyannote[1927].end 9134.35034375
transcript.pyannote[1928].speaker SPEAKER_04
transcript.pyannote[1928].start 9134.83971875
transcript.pyannote[1928].end 9135.66659375
transcript.pyannote[1929].speaker SPEAKER_09
transcript.pyannote[1929].start 9135.16034375
transcript.pyannote[1929].end 9135.36284375
transcript.pyannote[1930].speaker SPEAKER_09
transcript.pyannote[1930].start 9135.83534375
transcript.pyannote[1930].end 9137.06721875
transcript.pyannote[1931].speaker SPEAKER_09
transcript.pyannote[1931].start 9137.74221875
transcript.pyannote[1931].end 9139.91909375
transcript.pyannote[1932].speaker SPEAKER_09
transcript.pyannote[1932].start 9140.37471875
transcript.pyannote[1932].end 9141.75846875
transcript.pyannote[1933].speaker SPEAKER_09
transcript.pyannote[1933].start 9142.14659375
transcript.pyannote[1933].end 9143.17596875
transcript.pyannote[1934].speaker SPEAKER_09
transcript.pyannote[1934].start 9143.68221875
transcript.pyannote[1934].end 9149.79096875
transcript.pyannote[1935].speaker SPEAKER_09
transcript.pyannote[1935].start 9149.97659375
transcript.pyannote[1935].end 9155.66346875
transcript.pyannote[1936].speaker SPEAKER_09
transcript.pyannote[1936].start 9156.13596875
transcript.pyannote[1936].end 9159.17346875
transcript.pyannote[1937].speaker SPEAKER_09
transcript.pyannote[1937].start 9159.51096875
transcript.pyannote[1937].end 9165.95721875
transcript.pyannote[1938].speaker SPEAKER_09
transcript.pyannote[1938].start 9165.99096875
transcript.pyannote[1938].end 9166.61534375
transcript.pyannote[1939].speaker SPEAKER_09
transcript.pyannote[1939].start 9166.78409375
transcript.pyannote[1939].end 9183.49034375
transcript.pyannote[1940].speaker SPEAKER_09
transcript.pyannote[1940].start 9183.92909375
transcript.pyannote[1940].end 9201.56346875
transcript.pyannote[1941].speaker SPEAKER_04
transcript.pyannote[1941].start 9201.79971875
transcript.pyannote[1941].end 9202.76159375
transcript.pyannote[1942].speaker SPEAKER_04
transcript.pyannote[1942].start 9202.87971875
transcript.pyannote[1942].end 9204.16221875
transcript.pyannote[1943].speaker SPEAKER_04
transcript.pyannote[1943].start 9204.82034375
transcript.pyannote[1943].end 9220.64909375
transcript.pyannote[1944].speaker SPEAKER_08
transcript.pyannote[1944].start 9208.78596875
transcript.pyannote[1944].end 9209.20784375
transcript.pyannote[1945].speaker SPEAKER_09
transcript.pyannote[1945].start 9214.30409375
transcript.pyannote[1945].end 9214.43909375
transcript.pyannote[1946].speaker SPEAKER_08
transcript.pyannote[1946].start 9216.17721875
transcript.pyannote[1946].end 9216.19409375
transcript.pyannote[1947].speaker SPEAKER_09
transcript.pyannote[1947].start 9216.19409375
transcript.pyannote[1947].end 9216.63284375
transcript.pyannote[1948].speaker SPEAKER_09
transcript.pyannote[1948].start 9220.93596875
transcript.pyannote[1948].end 9228.54659375
transcript.pyannote[1949].speaker SPEAKER_08
transcript.pyannote[1949].start 9228.47909375
transcript.pyannote[1949].end 9228.86721875
transcript.pyannote[1950].speaker SPEAKER_09
transcript.pyannote[1950].start 9228.86721875
transcript.pyannote[1950].end 9235.53284375
transcript.pyannote[1951].speaker SPEAKER_09
transcript.pyannote[1951].start 9235.92096875
transcript.pyannote[1951].end 9237.45659375
transcript.pyannote[1952].speaker SPEAKER_09
transcript.pyannote[1952].start 9237.96284375
transcript.pyannote[1952].end 9241.54034375
transcript.pyannote[1953].speaker SPEAKER_09
transcript.pyannote[1953].start 9241.89471875
transcript.pyannote[1953].end 9266.04284375
transcript.pyannote[1954].speaker SPEAKER_09
transcript.pyannote[1954].start 9266.19471875
transcript.pyannote[1954].end 9267.42659375
transcript.pyannote[1955].speaker SPEAKER_08
transcript.pyannote[1955].start 9266.70096875
transcript.pyannote[1955].end 9266.71784375
transcript.pyannote[1956].speaker SPEAKER_00
transcript.pyannote[1956].start 9266.71784375
transcript.pyannote[1956].end 9266.76846875
transcript.pyannote[1957].speaker SPEAKER_09
transcript.pyannote[1957].start 9267.79784375
transcript.pyannote[1957].end 9279.91409375
transcript.pyannote[1958].speaker SPEAKER_04
transcript.pyannote[1958].start 9278.44596875
transcript.pyannote[1958].end 9278.64846875
transcript.pyannote[1959].speaker SPEAKER_04
transcript.pyannote[1959].start 9280.33596875
transcript.pyannote[1959].end 9282.52971875
transcript.pyannote[1960].speaker SPEAKER_04
transcript.pyannote[1960].start 9283.40721875
transcript.pyannote[1960].end 9284.03159375
transcript.pyannote[1961].speaker SPEAKER_04
transcript.pyannote[1961].start 9285.34784375
transcript.pyannote[1961].end 9287.13659375
transcript.pyannote[1962].speaker SPEAKER_04
transcript.pyannote[1962].start 9287.92971875
transcript.pyannote[1962].end 9289.88721875
transcript.pyannote[1963].speaker SPEAKER_04
transcript.pyannote[1963].start 9290.62971875
transcript.pyannote[1963].end 9294.32534375
transcript.pyannote[1964].speaker SPEAKER_04
transcript.pyannote[1964].start 9295.03409375
transcript.pyannote[1964].end 9297.27846875
transcript.pyannote[1965].speaker SPEAKER_04
transcript.pyannote[1965].start 9298.32471875
transcript.pyannote[1965].end 9306.74534375
transcript.pyannote[1966].speaker SPEAKER_09
transcript.pyannote[1966].start 9306.67784375
transcript.pyannote[1966].end 9308.66909375
transcript.pyannote[1967].speaker SPEAKER_04
transcript.pyannote[1967].start 9307.47096875
transcript.pyannote[1967].end 9308.09534375
transcript.pyannote[1968].speaker SPEAKER_09
transcript.pyannote[1968].start 9309.14159375
transcript.pyannote[1968].end 9339.21284375
transcript.pyannote[1969].speaker SPEAKER_04
transcript.pyannote[1969].start 9339.78659375
transcript.pyannote[1969].end 9340.84971875
transcript.pyannote[1970].speaker SPEAKER_04
transcript.pyannote[1970].start 9341.00159375
transcript.pyannote[1970].end 9342.26721875
transcript.pyannote[1971].speaker SPEAKER_09
transcript.pyannote[1971].start 9342.45284375
transcript.pyannote[1971].end 9343.56659375
transcript.pyannote[1972].speaker SPEAKER_04
transcript.pyannote[1972].start 9343.56659375
transcript.pyannote[1972].end 9347.88659375
transcript.pyannote[1973].speaker SPEAKER_09
transcript.pyannote[1973].start 9344.34284375
transcript.pyannote[1973].end 9345.25409375
transcript.pyannote[1974].speaker SPEAKER_04
transcript.pyannote[1974].start 9348.17346875
transcript.pyannote[1974].end 9353.01659375
transcript.pyannote[1975].speaker SPEAKER_09
transcript.pyannote[1975].start 9353.01659375
transcript.pyannote[1975].end 9353.13471875
transcript.pyannote[1976].speaker SPEAKER_04
transcript.pyannote[1976].start 9353.13471875
transcript.pyannote[1976].end 9354.68721875
transcript.pyannote[1977].speaker SPEAKER_09
transcript.pyannote[1977].start 9353.28659375
transcript.pyannote[1977].end 9353.30346875
transcript.pyannote[1978].speaker SPEAKER_09
transcript.pyannote[1978].start 9353.33721875
transcript.pyannote[1978].end 9353.40471875
transcript.pyannote[1979].speaker SPEAKER_09
transcript.pyannote[1979].start 9356.42534375
transcript.pyannote[1979].end 9373.28346875
transcript.pyannote[1980].speaker SPEAKER_09
transcript.pyannote[1980].start 9373.68846875
transcript.pyannote[1980].end 9374.17784375
transcript.pyannote[1981].speaker SPEAKER_09
transcript.pyannote[1981].start 9375.32534375
transcript.pyannote[1981].end 9383.20596875
transcript.pyannote[1982].speaker SPEAKER_09
transcript.pyannote[1982].start 9383.88096875
transcript.pyannote[1982].end 9383.99909375
transcript.pyannote[1983].speaker SPEAKER_04
transcript.pyannote[1983].start 9383.99909375
transcript.pyannote[1983].end 9392.65596875
transcript.pyannote[1984].speaker SPEAKER_09
transcript.pyannote[1984].start 9384.01596875
transcript.pyannote[1984].end 9384.53909375
transcript.pyannote[1985].speaker SPEAKER_09
transcript.pyannote[1985].start 9391.05284375
transcript.pyannote[1985].end 9392.20034375
transcript.pyannote[1986].speaker SPEAKER_09
transcript.pyannote[1986].start 9392.53784375
transcript.pyannote[1986].end 9401.75159375
transcript.pyannote[1987].speaker SPEAKER_09
transcript.pyannote[1987].start 9401.85284375
transcript.pyannote[1987].end 9404.41784375
transcript.pyannote[1988].speaker SPEAKER_09
transcript.pyannote[1988].start 9404.70471875
transcript.pyannote[1988].end 9410.42534375
transcript.pyannote[1989].speaker SPEAKER_04
transcript.pyannote[1989].start 9410.56034375
transcript.pyannote[1989].end 9412.72034375
transcript.pyannote[1990].speaker SPEAKER_09
transcript.pyannote[1990].start 9412.72034375
transcript.pyannote[1990].end 9413.00721875
transcript.pyannote[1991].speaker SPEAKER_04
transcript.pyannote[1991].start 9413.00721875
transcript.pyannote[1991].end 9416.14596875
transcript.pyannote[1992].speaker SPEAKER_09
transcript.pyannote[1992].start 9416.58471875
transcript.pyannote[1992].end 9417.51284375
transcript.pyannote[1993].speaker SPEAKER_09
transcript.pyannote[1993].start 9417.76596875
transcript.pyannote[1993].end 9420.68534375
transcript.pyannote[1994].speaker SPEAKER_09
transcript.pyannote[1994].start 9420.90471875
transcript.pyannote[1994].end 9425.22471875
transcript.pyannote[1995].speaker SPEAKER_09
transcript.pyannote[1995].start 9425.68034375
transcript.pyannote[1995].end 9428.71784375
transcript.pyannote[1996].speaker SPEAKER_09
transcript.pyannote[1996].start 9429.37596875
transcript.pyannote[1996].end 9429.39284375
transcript.pyannote[1997].speaker SPEAKER_09
transcript.pyannote[1997].start 9429.66284375
transcript.pyannote[1997].end 9453.50721875
transcript.pyannote[1998].speaker SPEAKER_04
transcript.pyannote[1998].start 9453.33846875
transcript.pyannote[1998].end 9457.55721875
transcript.pyannote[1999].speaker SPEAKER_04
transcript.pyannote[1999].start 9457.96221875
transcript.pyannote[1999].end 9459.19409375
transcript.pyannote[2000].speaker SPEAKER_09
transcript.pyannote[2000].start 9458.01284375
transcript.pyannote[2000].end 9458.29971875
transcript.pyannote[2001].speaker SPEAKER_04
transcript.pyannote[2001].start 9459.41346875
transcript.pyannote[2001].end 9459.68346875
transcript.pyannote[2002].speaker SPEAKER_09
transcript.pyannote[2002].start 9459.80159375
transcript.pyannote[2002].end 9467.19284375
transcript.pyannote[2003].speaker SPEAKER_04
transcript.pyannote[2003].start 9468.05346875
transcript.pyannote[2003].end 9472.10346875
transcript.pyannote[2004].speaker SPEAKER_09
transcript.pyannote[2004].start 9470.14596875
transcript.pyannote[2004].end 9472.08659375
transcript.pyannote[2005].speaker SPEAKER_09
transcript.pyannote[2005].start 9472.10346875
transcript.pyannote[2005].end 9472.13721875
transcript.pyannote[2006].speaker SPEAKER_04
transcript.pyannote[2006].start 9472.13721875
transcript.pyannote[2006].end 9472.15409375
transcript.pyannote[2007].speaker SPEAKER_09
transcript.pyannote[2007].start 9472.15409375
transcript.pyannote[2007].end 9474.11159375
transcript.pyannote[2008].speaker SPEAKER_04
transcript.pyannote[2008].start 9474.11159375
transcript.pyannote[2008].end 9477.62159375
transcript.pyannote[2009].speaker SPEAKER_04
transcript.pyannote[2009].start 9478.09409375
transcript.pyannote[2009].end 9482.61659375
transcript.pyannote[2010].speaker SPEAKER_04
transcript.pyannote[2010].start 9482.66721875
transcript.pyannote[2010].end 9482.68409375
transcript.pyannote[2011].speaker SPEAKER_04
transcript.pyannote[2011].start 9482.70096875
transcript.pyannote[2011].end 9488.20221875
transcript.pyannote[2012].speaker SPEAKER_04
transcript.pyannote[2012].start 9488.91096875
transcript.pyannote[2012].end 9493.36596875
transcript.pyannote[2013].speaker SPEAKER_09
transcript.pyannote[2013].start 9493.36596875
transcript.pyannote[2013].end 9494.24346875
transcript.pyannote[2014].speaker SPEAKER_04
transcript.pyannote[2014].start 9493.65284375
transcript.pyannote[2014].end 9497.66909375
transcript.pyannote[2015].speaker SPEAKER_09
transcript.pyannote[2015].start 9494.26034375
transcript.pyannote[2015].end 9494.85096875
transcript.pyannote[2016].speaker SPEAKER_09
transcript.pyannote[2016].start 9496.01534375
transcript.pyannote[2016].end 9496.18409375
transcript.pyannote[2017].speaker SPEAKER_09
transcript.pyannote[2017].start 9496.45409375
transcript.pyannote[2017].end 9503.05221875
transcript.pyannote[2018].speaker SPEAKER_04
transcript.pyannote[2018].start 9499.55909375
transcript.pyannote[2018].end 9501.04409375
transcript.pyannote[2019].speaker SPEAKER_04
transcript.pyannote[2019].start 9503.05221875
transcript.pyannote[2019].end 9503.10284375
transcript.pyannote[2020].speaker SPEAKER_09
transcript.pyannote[2020].start 9503.10284375
transcript.pyannote[2020].end 9503.11971875
transcript.pyannote[2021].speaker SPEAKER_04
transcript.pyannote[2021].start 9503.11971875
transcript.pyannote[2021].end 9506.25846875
transcript.pyannote[2022].speaker SPEAKER_04
transcript.pyannote[2022].start 9506.69721875
transcript.pyannote[2022].end 9511.28721875
transcript.pyannote[2023].speaker SPEAKER_09
transcript.pyannote[2023].start 9508.24971875
transcript.pyannote[2023].end 9508.55346875
transcript.pyannote[2024].speaker SPEAKER_09
transcript.pyannote[2024].start 9509.24534375
transcript.pyannote[2024].end 9513.86909375
transcript.pyannote[2025].speaker SPEAKER_04
transcript.pyannote[2025].start 9512.67096875
transcript.pyannote[2025].end 9513.27846875
transcript.pyannote[2026].speaker SPEAKER_04
transcript.pyannote[2026].start 9513.86909375
transcript.pyannote[2026].end 9514.12221875
transcript.pyannote[2027].speaker SPEAKER_09
transcript.pyannote[2027].start 9514.12221875
transcript.pyannote[2027].end 9536.51534375
transcript.pyannote[2028].speaker SPEAKER_04
transcript.pyannote[2028].start 9514.13909375
transcript.pyannote[2028].end 9514.18971875
transcript.pyannote[2029].speaker SPEAKER_08
transcript.pyannote[2029].start 9514.18971875
transcript.pyannote[2029].end 9514.20659375
transcript.pyannote[2030].speaker SPEAKER_04
transcript.pyannote[2030].start 9535.58721875
transcript.pyannote[2030].end 9535.80659375
transcript.pyannote[2031].speaker SPEAKER_04
transcript.pyannote[2031].start 9536.19471875
transcript.pyannote[2031].end 9538.00034375
transcript.pyannote[2032].speaker SPEAKER_09
transcript.pyannote[2032].start 9537.20721875
transcript.pyannote[2032].end 9538.91159375
transcript.pyannote[2033].speaker SPEAKER_13
transcript.pyannote[2033].start 9539.89034375
transcript.pyannote[2033].end 9539.99159375
transcript.pyannote[2034].speaker SPEAKER_13
transcript.pyannote[2034].start 9541.40909375
transcript.pyannote[2034].end 9547.78784375
transcript.pyannote[2035].speaker SPEAKER_06
transcript.pyannote[2035].start 9557.55846875
transcript.pyannote[2035].end 9558.97596875
transcript.pyannote[2036].speaker SPEAKER_06
transcript.pyannote[2036].start 9559.58346875
transcript.pyannote[2036].end 9559.71846875
transcript.pyannote[2037].speaker SPEAKER_13
transcript.pyannote[2037].start 9559.71846875
transcript.pyannote[2037].end 9560.84909375
transcript.pyannote[2038].speaker SPEAKER_06
transcript.pyannote[2038].start 9566.67096875
transcript.pyannote[2038].end 9578.31471875
transcript.pyannote[2039].speaker SPEAKER_23
transcript.pyannote[2039].start 9574.46721875
transcript.pyannote[2039].end 9574.88909375
transcript.pyannote[2040].speaker SPEAKER_06
transcript.pyannote[2040].start 9578.61846875
transcript.pyannote[2040].end 9581.09909375
transcript.pyannote[2041].speaker SPEAKER_06
transcript.pyannote[2041].start 9581.41971875
transcript.pyannote[2041].end 9582.56721875
transcript.pyannote[2042].speaker SPEAKER_04
transcript.pyannote[2042].start 9583.24221875
transcript.pyannote[2042].end 9587.02221875
transcript.pyannote[2043].speaker SPEAKER_04
transcript.pyannote[2043].start 9587.69721875
transcript.pyannote[2043].end 9588.69284375
transcript.pyannote[2044].speaker SPEAKER_04
transcript.pyannote[2044].start 9588.81096875
transcript.pyannote[2044].end 9591.02159375
transcript.pyannote[2045].speaker SPEAKER_04
transcript.pyannote[2045].start 9591.56159375
transcript.pyannote[2045].end 9593.73846875
transcript.pyannote[2046].speaker SPEAKER_06
transcript.pyannote[2046].start 9593.80596875
transcript.pyannote[2046].end 9595.62846875
transcript.pyannote[2047].speaker SPEAKER_06
transcript.pyannote[2047].start 9595.93221875
transcript.pyannote[2047].end 9603.72846875
transcript.pyannote[2048].speaker SPEAKER_06
transcript.pyannote[2048].start 9604.21784375
transcript.pyannote[2048].end 9604.79159375
transcript.pyannote[2049].speaker SPEAKER_06
transcript.pyannote[2049].start 9605.02784375
transcript.pyannote[2049].end 9606.74909375
transcript.pyannote[2050].speaker SPEAKER_06
transcript.pyannote[2050].start 9607.10346875
transcript.pyannote[2050].end 9610.14096875
transcript.pyannote[2051].speaker SPEAKER_06
transcript.pyannote[2051].start 9610.37721875
transcript.pyannote[2051].end 9611.32221875
transcript.pyannote[2052].speaker SPEAKER_06
transcript.pyannote[2052].start 9611.72721875
transcript.pyannote[2052].end 9613.49909375
transcript.pyannote[2053].speaker SPEAKER_06
transcript.pyannote[2053].start 9613.90409375
transcript.pyannote[2053].end 9614.79846875
transcript.pyannote[2054].speaker SPEAKER_06
transcript.pyannote[2054].start 9615.10221875
transcript.pyannote[2054].end 9616.43534375
transcript.pyannote[2055].speaker SPEAKER_06
transcript.pyannote[2055].start 9616.62096875
transcript.pyannote[2055].end 9619.67534375
transcript.pyannote[2056].speaker SPEAKER_06
transcript.pyannote[2056].start 9619.75971875
transcript.pyannote[2056].end 9624.04596875
transcript.pyannote[2057].speaker SPEAKER_06
transcript.pyannote[2057].start 9624.13034375
transcript.pyannote[2057].end 9629.74971875
transcript.pyannote[2058].speaker SPEAKER_04
transcript.pyannote[2058].start 9629.74971875
transcript.pyannote[2058].end 9630.07034375
transcript.pyannote[2059].speaker SPEAKER_06
transcript.pyannote[2059].start 9630.07034375
transcript.pyannote[2059].end 9634.03596875
transcript.pyannote[2060].speaker SPEAKER_04
transcript.pyannote[2060].start 9630.12096875
transcript.pyannote[2060].end 9630.13784375
transcript.pyannote[2061].speaker SPEAKER_04
transcript.pyannote[2061].start 9634.03596875
transcript.pyannote[2061].end 9634.27221875
transcript.pyannote[2062].speaker SPEAKER_04
transcript.pyannote[2062].start 9635.21721875
transcript.pyannote[2062].end 9637.90034375
transcript.pyannote[2063].speaker SPEAKER_04
transcript.pyannote[2063].start 9638.40659375
transcript.pyannote[2063].end 9639.53721875
transcript.pyannote[2064].speaker SPEAKER_04
transcript.pyannote[2064].start 9639.94221875
transcript.pyannote[2064].end 9641.20784375
transcript.pyannote[2065].speaker SPEAKER_04
transcript.pyannote[2065].start 9641.54534375
transcript.pyannote[2065].end 9653.22284375
transcript.pyannote[2066].speaker SPEAKER_06
transcript.pyannote[2066].start 9653.22284375
transcript.pyannote[2066].end 9660.24284375
transcript.pyannote[2067].speaker SPEAKER_04
transcript.pyannote[2067].start 9656.31096875
transcript.pyannote[2067].end 9657.00284375
transcript.pyannote[2068].speaker SPEAKER_06
transcript.pyannote[2068].start 9660.73221875
transcript.pyannote[2068].end 9661.76159375
transcript.pyannote[2069].speaker SPEAKER_06
transcript.pyannote[2069].start 9662.11596875
transcript.pyannote[2069].end 9665.01846875
transcript.pyannote[2070].speaker SPEAKER_04
transcript.pyannote[2070].start 9665.00159375
transcript.pyannote[2070].end 9668.64659375
transcript.pyannote[2071].speaker SPEAKER_04
transcript.pyannote[2071].start 9668.93346875
transcript.pyannote[2071].end 9673.96221875
transcript.pyannote[2072].speaker SPEAKER_06
transcript.pyannote[2072].start 9669.43971875
transcript.pyannote[2072].end 9671.73471875
transcript.pyannote[2073].speaker SPEAKER_06
transcript.pyannote[2073].start 9673.10159375
transcript.pyannote[2073].end 9681.79221875
transcript.pyannote[2074].speaker SPEAKER_06
transcript.pyannote[2074].start 9682.14659375
transcript.pyannote[2074].end 9696.27096875
transcript.pyannote[2075].speaker SPEAKER_04
transcript.pyannote[2075].start 9684.13784375
transcript.pyannote[2075].end 9684.96471875
transcript.pyannote[2076].speaker SPEAKER_00
transcript.pyannote[2076].start 9684.96471875
transcript.pyannote[2076].end 9684.98159375
transcript.pyannote[2077].speaker SPEAKER_06
transcript.pyannote[2077].start 9696.38909375
transcript.pyannote[2077].end 9700.84409375
transcript.pyannote[2078].speaker SPEAKER_06
transcript.pyannote[2078].start 9701.19846875
transcript.pyannote[2078].end 9710.54721875
transcript.pyannote[2079].speaker SPEAKER_06
transcript.pyannote[2079].start 9710.63159375
transcript.pyannote[2079].end 9713.78721875
transcript.pyannote[2080].speaker SPEAKER_06
transcript.pyannote[2080].start 9714.17534375
transcript.pyannote[2080].end 9714.44534375
transcript.pyannote[2081].speaker SPEAKER_06
transcript.pyannote[2081].start 9714.79971875
transcript.pyannote[2081].end 9718.76534375
transcript.pyannote[2082].speaker SPEAKER_06
transcript.pyannote[2082].start 9718.93409375
transcript.pyannote[2082].end 9722.02221875
transcript.pyannote[2083].speaker SPEAKER_06
transcript.pyannote[2083].start 9722.29221875
transcript.pyannote[2083].end 9722.66346875
transcript.pyannote[2084].speaker SPEAKER_06
transcript.pyannote[2084].start 9722.88284375
transcript.pyannote[2084].end 9724.63784375
transcript.pyannote[2085].speaker SPEAKER_06
transcript.pyannote[2085].start 9724.94159375
transcript.pyannote[2085].end 9727.01721875
transcript.pyannote[2086].speaker SPEAKER_06
transcript.pyannote[2086].start 9727.25346875
transcript.pyannote[2086].end 9728.58659375
transcript.pyannote[2087].speaker SPEAKER_04
transcript.pyannote[2087].start 9728.58659375
transcript.pyannote[2087].end 9729.14346875
transcript.pyannote[2088].speaker SPEAKER_06
transcript.pyannote[2088].start 9729.29534375
transcript.pyannote[2088].end 9730.17284375
transcript.pyannote[2089].speaker SPEAKER_04
transcript.pyannote[2089].start 9730.69596875
transcript.pyannote[2089].end 9733.27784375
transcript.pyannote[2090].speaker SPEAKER_06
transcript.pyannote[2090].start 9731.55659375
transcript.pyannote[2090].end 9732.33284375
transcript.pyannote[2091].speaker SPEAKER_06
transcript.pyannote[2091].start 9733.27784375
transcript.pyannote[2091].end 9740.82096875
transcript.pyannote[2092].speaker SPEAKER_06
transcript.pyannote[2092].start 9741.29346875
transcript.pyannote[2092].end 9748.73534375
transcript.pyannote[2093].speaker SPEAKER_06
transcript.pyannote[2093].start 9749.08971875
transcript.pyannote[2093].end 9753.49409375
transcript.pyannote[2094].speaker SPEAKER_06
transcript.pyannote[2094].start 9753.66284375
transcript.pyannote[2094].end 9755.53596875
transcript.pyannote[2095].speaker SPEAKER_06
transcript.pyannote[2095].start 9756.04221875
transcript.pyannote[2095].end 9756.91971875
transcript.pyannote[2096].speaker SPEAKER_04
transcript.pyannote[2096].start 9756.04221875
transcript.pyannote[2096].end 9760.71659375
transcript.pyannote[2097].speaker SPEAKER_04
transcript.pyannote[2097].start 9760.93596875
transcript.pyannote[2097].end 9764.34471875
transcript.pyannote[2098].speaker SPEAKER_04
transcript.pyannote[2098].start 9764.54721875
transcript.pyannote[2098].end 9769.40721875
transcript.pyannote[2099].speaker SPEAKER_04
transcript.pyannote[2099].start 9769.81221875
transcript.pyannote[2099].end 9772.66409375
transcript.pyannote[2100].speaker SPEAKER_04
transcript.pyannote[2100].start 9773.27159375
transcript.pyannote[2100].end 9774.40221875
transcript.pyannote[2101].speaker SPEAKER_04
transcript.pyannote[2101].start 9775.00971875
transcript.pyannote[2101].end 9778.50284375
transcript.pyannote[2102].speaker SPEAKER_04
transcript.pyannote[2102].start 9779.43096875
transcript.pyannote[2102].end 9784.13909375
transcript.pyannote[2103].speaker SPEAKER_04
transcript.pyannote[2103].start 9784.64534375
transcript.pyannote[2103].end 9787.02471875
transcript.pyannote[2104].speaker SPEAKER_04
transcript.pyannote[2104].start 9787.36221875
transcript.pyannote[2104].end 9790.45034375
transcript.pyannote[2105].speaker SPEAKER_04
transcript.pyannote[2105].start 9790.87221875
transcript.pyannote[2105].end 9792.30659375
transcript.pyannote[2106].speaker SPEAKER_04
transcript.pyannote[2106].start 9792.52596875
transcript.pyannote[2106].end 9795.04034375
transcript.pyannote[2107].speaker SPEAKER_04
transcript.pyannote[2107].start 9795.39471875
transcript.pyannote[2107].end 9799.22534375
transcript.pyannote[2108].speaker SPEAKER_06
transcript.pyannote[2108].start 9799.07346875
transcript.pyannote[2108].end 9799.15784375
transcript.pyannote[2109].speaker SPEAKER_06
transcript.pyannote[2109].start 9799.22534375
transcript.pyannote[2109].end 9807.86534375
transcript.pyannote[2110].speaker SPEAKER_04
transcript.pyannote[2110].start 9800.27159375
transcript.pyannote[2110].end 9802.09409375
transcript.pyannote[2111].speaker SPEAKER_06
transcript.pyannote[2111].start 9808.30409375
transcript.pyannote[2111].end 9817.16346875
transcript.pyannote[2112].speaker SPEAKER_06
transcript.pyannote[2112].start 9817.28159375
transcript.pyannote[2112].end 9821.11221875
transcript.pyannote[2113].speaker SPEAKER_06
transcript.pyannote[2113].start 9821.43284375
transcript.pyannote[2113].end 9823.69409375
transcript.pyannote[2114].speaker SPEAKER_06
transcript.pyannote[2114].start 9823.82909375
transcript.pyannote[2114].end 9829.76909375
transcript.pyannote[2115].speaker SPEAKER_06
transcript.pyannote[2115].start 9830.15721875
transcript.pyannote[2115].end 9831.18659375
transcript.pyannote[2116].speaker SPEAKER_06
transcript.pyannote[2116].start 9831.57471875
transcript.pyannote[2116].end 9840.06284375
transcript.pyannote[2117].speaker SPEAKER_08
transcript.pyannote[2117].start 9836.87346875
transcript.pyannote[2117].end 9837.00846875
transcript.pyannote[2118].speaker SPEAKER_08
transcript.pyannote[2118].start 9839.26971875
transcript.pyannote[2118].end 9840.41721875
transcript.pyannote[2119].speaker SPEAKER_06
transcript.pyannote[2119].start 9840.26534375
transcript.pyannote[2119].end 9845.09159375
transcript.pyannote[2120].speaker SPEAKER_06
transcript.pyannote[2120].start 9845.24346875
transcript.pyannote[2120].end 9847.74096875
transcript.pyannote[2121].speaker SPEAKER_06
transcript.pyannote[2121].start 9847.89284375
transcript.pyannote[2121].end 9851.28471875
transcript.pyannote[2122].speaker SPEAKER_06
transcript.pyannote[2122].start 9851.52096875
transcript.pyannote[2122].end 9856.43159375
transcript.pyannote[2123].speaker SPEAKER_06
transcript.pyannote[2123].start 9856.61721875
transcript.pyannote[2123].end 9863.14784375
transcript.pyannote[2124].speaker SPEAKER_06
transcript.pyannote[2124].start 9863.67096875
transcript.pyannote[2124].end 9870.96096875
transcript.pyannote[2125].speaker SPEAKER_08
transcript.pyannote[2125].start 9871.21409375
transcript.pyannote[2125].end 9871.51784375
transcript.pyannote[2126].speaker SPEAKER_06
transcript.pyannote[2126].start 9871.85534375
transcript.pyannote[2126].end 9872.80034375
transcript.pyannote[2127].speaker SPEAKER_06
transcript.pyannote[2127].start 9872.90159375
transcript.pyannote[2127].end 9876.46221875
transcript.pyannote[2128].speaker SPEAKER_06
transcript.pyannote[2128].start 9876.79971875
transcript.pyannote[2128].end 9888.61221875
transcript.pyannote[2129].speaker SPEAKER_08
transcript.pyannote[2129].start 9878.20034375
transcript.pyannote[2129].end 9878.72346875
transcript.pyannote[2130].speaker SPEAKER_04
transcript.pyannote[2130].start 9883.36409375
transcript.pyannote[2130].end 9883.73534375
transcript.pyannote[2131].speaker SPEAKER_04
transcript.pyannote[2131].start 9889.00034375
transcript.pyannote[2131].end 9890.19846875
transcript.pyannote[2132].speaker SPEAKER_06
transcript.pyannote[2132].start 9890.19846875
transcript.pyannote[2132].end 9890.50221875
transcript.pyannote[2133].speaker SPEAKER_04
transcript.pyannote[2133].start 9890.50221875
transcript.pyannote[2133].end 9890.56971875
transcript.pyannote[2134].speaker SPEAKER_06
transcript.pyannote[2134].start 9890.56971875
transcript.pyannote[2134].end 9890.60346875
transcript.pyannote[2135].speaker SPEAKER_13
transcript.pyannote[2135].start 9899.02409375
transcript.pyannote[2135].end 9902.70284375
transcript.pyannote[2136].speaker SPEAKER_13
transcript.pyannote[2136].start 9908.06909375
transcript.pyannote[2136].end 9911.56221875
transcript.pyannote[2137].speaker SPEAKER_13
transcript.pyannote[2137].start 9912.84471875
transcript.pyannote[2137].end 9916.06784375
transcript.pyannote[2138].speaker SPEAKER_13
transcript.pyannote[2138].start 9916.91159375
transcript.pyannote[2138].end 9921.09659375
transcript.pyannote[2139].speaker SPEAKER_13
transcript.pyannote[2139].start 9922.26096875
transcript.pyannote[2139].end 9926.27721875
transcript.pyannote[2140].speaker SPEAKER_13
transcript.pyannote[2140].start 9926.76659375
transcript.pyannote[2140].end 9929.44971875
transcript.pyannote[2141].speaker SPEAKER_13
transcript.pyannote[2141].start 9929.65221875
transcript.pyannote[2141].end 9931.72784375
transcript.pyannote[2142].speaker SPEAKER_13
transcript.pyannote[2142].start 10558.80284375
transcript.pyannote[2142].end 10560.64221875
transcript.pyannote[2143].speaker SPEAKER_13
transcript.pyannote[2143].start 10561.72221875
transcript.pyannote[2143].end 10565.99159375
transcript.pyannote[2144].speaker SPEAKER_13
transcript.pyannote[2144].start 10566.41346875
transcript.pyannote[2144].end 10569.36659375
transcript.pyannote[2145].speaker SPEAKER_13
transcript.pyannote[2145].start 10572.08346875
transcript.pyannote[2145].end 10573.78784375
transcript.pyannote[2146].speaker SPEAKER_13
transcript.pyannote[2146].start 10574.51346875
transcript.pyannote[2146].end 10575.93096875
transcript.pyannote[2147].speaker SPEAKER_13
transcript.pyannote[2147].start 10576.26846875
transcript.pyannote[2147].end 10578.83346875
transcript.pyannote[2148].speaker SPEAKER_13
transcript.pyannote[2148].start 10579.18784375
transcript.pyannote[2148].end 10580.80784375
transcript.pyannote[2149].speaker SPEAKER_13
transcript.pyannote[2149].start 10581.58409375
transcript.pyannote[2149].end 10584.95909375
transcript.pyannote[2150].speaker SPEAKER_03
transcript.pyannote[2150].start 10591.42221875
transcript.pyannote[2150].end 10599.04971875
transcript.pyannote[2151].speaker SPEAKER_03
transcript.pyannote[2151].start 10599.31971875
transcript.pyannote[2151].end 10602.71159375
transcript.pyannote[2152].speaker SPEAKER_03
transcript.pyannote[2152].start 10603.26846875
transcript.pyannote[2152].end 10605.32721875
transcript.pyannote[2153].speaker SPEAKER_03
transcript.pyannote[2153].start 10605.59721875
transcript.pyannote[2153].end 10612.17846875
transcript.pyannote[2154].speaker SPEAKER_03
transcript.pyannote[2154].start 10612.48221875
transcript.pyannote[2154].end 10613.05596875
transcript.pyannote[2155].speaker SPEAKER_03
transcript.pyannote[2155].start 10613.64659375
transcript.pyannote[2155].end 10629.37409375
transcript.pyannote[2156].speaker SPEAKER_03
transcript.pyannote[2156].start 10629.93096875
transcript.pyannote[2156].end 10630.23471875
transcript.pyannote[2157].speaker SPEAKER_03
transcript.pyannote[2157].start 10630.72409375
transcript.pyannote[2157].end 10631.51721875
transcript.pyannote[2158].speaker SPEAKER_03
transcript.pyannote[2158].start 10632.09096875
transcript.pyannote[2158].end 10632.78284375
transcript.pyannote[2159].speaker SPEAKER_03
transcript.pyannote[2159].start 10633.00221875
transcript.pyannote[2159].end 10637.20409375
transcript.pyannote[2160].speaker SPEAKER_03
transcript.pyannote[2160].start 10637.52471875
transcript.pyannote[2160].end 10640.20784375
transcript.pyannote[2161].speaker SPEAKER_03
transcript.pyannote[2161].start 10640.42721875
transcript.pyannote[2161].end 10649.43846875
transcript.pyannote[2162].speaker SPEAKER_03
transcript.pyannote[2162].start 10650.04596875
transcript.pyannote[2162].end 10660.57596875
transcript.pyannote[2163].speaker SPEAKER_03
transcript.pyannote[2163].start 10661.16659375
transcript.pyannote[2163].end 10667.52846875
transcript.pyannote[2164].speaker SPEAKER_03
transcript.pyannote[2164].start 10667.78159375
transcript.pyannote[2164].end 10701.46409375
transcript.pyannote[2165].speaker SPEAKER_03
transcript.pyannote[2165].start 10701.58221875
transcript.pyannote[2165].end 10701.97034375
transcript.pyannote[2166].speaker SPEAKER_13
transcript.pyannote[2166].start 10704.83909375
transcript.pyannote[2166].end 10705.68284375
transcript.pyannote[2167].speaker SPEAKER_13
transcript.pyannote[2167].start 10706.12159375
transcript.pyannote[2167].end 10708.45034375
transcript.pyannote[2168].speaker SPEAKER_13
transcript.pyannote[2168].start 10709.09159375
transcript.pyannote[2168].end 10709.91846875
transcript.pyannote[2169].speaker SPEAKER_13
transcript.pyannote[2169].start 10710.61034375
transcript.pyannote[2169].end 10711.70721875
transcript.pyannote[2170].speaker SPEAKER_13
transcript.pyannote[2170].start 10712.36534375
transcript.pyannote[2170].end 10713.10784375
transcript.pyannote[2171].speaker SPEAKER_13
transcript.pyannote[2171].start 10715.14971875
transcript.pyannote[2171].end 10715.57159375
transcript.pyannote[2172].speaker SPEAKER_14
transcript.pyannote[2172].start 10720.49909375
transcript.pyannote[2172].end 10722.81096875
transcript.pyannote[2173].speaker SPEAKER_14
transcript.pyannote[2173].start 10723.03034375
transcript.pyannote[2173].end 10725.24096875
transcript.pyannote[2174].speaker SPEAKER_13
transcript.pyannote[2174].start 10726.16909375
transcript.pyannote[2174].end 10727.62034375
transcript.pyannote[2175].speaker SPEAKER_14
transcript.pyannote[2175].start 10728.78471875
transcript.pyannote[2175].end 10729.15596875
transcript.pyannote[2176].speaker SPEAKER_14
transcript.pyannote[2176].start 10729.89846875
transcript.pyannote[2176].end 10730.50596875
transcript.pyannote[2177].speaker SPEAKER_14
transcript.pyannote[2177].start 10730.84346875
transcript.pyannote[2177].end 10798.19159375
transcript.pyannote[2178].speaker SPEAKER_03
transcript.pyannote[2178].start 10798.56284375
transcript.pyannote[2178].end 10816.60221875
transcript.pyannote[2179].speaker SPEAKER_14
transcript.pyannote[2179].start 10812.83909375
transcript.pyannote[2179].end 10819.18409375
transcript.pyannote[2180].speaker SPEAKER_03
transcript.pyannote[2180].start 10816.90596875
transcript.pyannote[2180].end 10823.92596875
transcript.pyannote[2181].speaker SPEAKER_14
transcript.pyannote[2181].start 10823.03159375
transcript.pyannote[2181].end 10837.35846875
transcript.pyannote[2182].speaker SPEAKER_03
transcript.pyannote[2182].start 10837.57784375
transcript.pyannote[2182].end 10837.91534375
transcript.pyannote[2183].speaker SPEAKER_14
transcript.pyannote[2183].start 10838.16846875
transcript.pyannote[2183].end 10844.27721875
transcript.pyannote[2184].speaker SPEAKER_14
transcript.pyannote[2184].start 10844.83409375
transcript.pyannote[2184].end 10845.25596875
transcript.pyannote[2185].speaker SPEAKER_03
transcript.pyannote[2185].start 10845.61034375
transcript.pyannote[2185].end 10850.01471875
transcript.pyannote[2186].speaker SPEAKER_14
transcript.pyannote[2186].start 10849.89659375
transcript.pyannote[2186].end 10864.86471875
transcript.pyannote[2187].speaker SPEAKER_14
transcript.pyannote[2187].start 10865.40471875
transcript.pyannote[2187].end 10872.23909375
transcript.pyannote[2188].speaker SPEAKER_14
transcript.pyannote[2188].start 10872.67784375
transcript.pyannote[2188].end 10890.31221875
transcript.pyannote[2189].speaker SPEAKER_03
transcript.pyannote[2189].start 10891.00409375
transcript.pyannote[2189].end 10916.38409375
transcript.pyannote[2190].speaker SPEAKER_08
transcript.pyannote[2190].start 10903.81221875
transcript.pyannote[2190].end 10904.97659375
transcript.pyannote[2191].speaker SPEAKER_14
transcript.pyannote[2191].start 10904.97659375
transcript.pyannote[2191].end 10906.22534375
transcript.pyannote[2192].speaker SPEAKER_00
transcript.pyannote[2192].start 10906.22534375
transcript.pyannote[2192].end 10906.34346875
transcript.pyannote[2193].speaker SPEAKER_14
transcript.pyannote[2193].start 10915.67534375
transcript.pyannote[2193].end 10938.74346875
transcript.pyannote[2194].speaker SPEAKER_03
transcript.pyannote[2194].start 10921.19346875
transcript.pyannote[2194].end 10924.97346875
transcript.pyannote[2195].speaker SPEAKER_08
transcript.pyannote[2195].start 10924.97346875
transcript.pyannote[2195].end 10925.93534375
transcript.pyannote[2196].speaker SPEAKER_08
transcript.pyannote[2196].start 10926.89721875
transcript.pyannote[2196].end 10928.01096875
transcript.pyannote[2197].speaker SPEAKER_08
transcript.pyannote[2197].start 10930.77846875
transcript.pyannote[2197].end 10931.13284375
transcript.pyannote[2198].speaker SPEAKER_08
transcript.pyannote[2198].start 10931.33534375
transcript.pyannote[2198].end 10931.60534375
transcript.pyannote[2199].speaker SPEAKER_14
transcript.pyannote[2199].start 10939.26659375
transcript.pyannote[2199].end 10943.11409375
transcript.pyannote[2200].speaker SPEAKER_03
transcript.pyannote[2200].start 10939.99221875
transcript.pyannote[2200].end 10940.21159375
transcript.pyannote[2201].speaker SPEAKER_03
transcript.pyannote[2201].start 10943.11409375
transcript.pyannote[2201].end 10948.75034375
transcript.pyannote[2202].speaker SPEAKER_14
transcript.pyannote[2202].start 10948.75034375
transcript.pyannote[2202].end 10950.82596875
transcript.pyannote[2203].speaker SPEAKER_03
transcript.pyannote[2203].start 10949.72909375
transcript.pyannote[2203].end 10955.90534375
transcript.pyannote[2204].speaker SPEAKER_14
transcript.pyannote[2204].start 10953.28971875
transcript.pyannote[2204].end 10954.50471875
transcript.pyannote[2205].speaker SPEAKER_14
transcript.pyannote[2205].start 10955.17971875
transcript.pyannote[2205].end 10977.74159375
transcript.pyannote[2206].speaker SPEAKER_03
transcript.pyannote[2206].start 10975.07534375
transcript.pyannote[2206].end 10981.92659375
transcript.pyannote[2207].speaker SPEAKER_14
transcript.pyannote[2207].start 10979.44596875
transcript.pyannote[2207].end 10983.71534375
transcript.pyannote[2208].speaker SPEAKER_03
transcript.pyannote[2208].start 10982.48346875
transcript.pyannote[2208].end 10982.80409375
transcript.pyannote[2209].speaker SPEAKER_14
transcript.pyannote[2209].start 10983.73221875
transcript.pyannote[2209].end 10983.74909375
transcript.pyannote[2210].speaker SPEAKER_03
transcript.pyannote[2210].start 10983.76596875
transcript.pyannote[2210].end 10989.70596875
transcript.pyannote[2211].speaker SPEAKER_14
transcript.pyannote[2211].start 10986.17909375
transcript.pyannote[2211].end 10996.54034375
transcript.pyannote[2212].speaker SPEAKER_03
transcript.pyannote[2212].start 10997.45159375
transcript.pyannote[2212].end 10998.81846875
transcript.pyannote[2213].speaker SPEAKER_14
transcript.pyannote[2213].start 10998.43034375
transcript.pyannote[2213].end 11000.62409375
transcript.pyannote[2214].speaker SPEAKER_03
transcript.pyannote[2214].start 11000.62409375
transcript.pyannote[2214].end 11009.87159375
transcript.pyannote[2215].speaker SPEAKER_14
transcript.pyannote[2215].start 11006.91846875
transcript.pyannote[2215].end 11007.59346875
transcript.pyannote[2216].speaker SPEAKER_14
transcript.pyannote[2216].start 11008.69034375
transcript.pyannote[2216].end 11053.12221875
transcript.pyannote[2217].speaker SPEAKER_03
transcript.pyannote[2217].start 11010.71534375
transcript.pyannote[2217].end 11010.93471875
transcript.pyannote[2218].speaker SPEAKER_03
transcript.pyannote[2218].start 11010.95159375
transcript.pyannote[2218].end 11010.98534375
transcript.pyannote[2219].speaker SPEAKER_03
transcript.pyannote[2219].start 11053.57784375
transcript.pyannote[2219].end 11060.71596875
transcript.pyannote[2220].speaker SPEAKER_14
transcript.pyannote[2220].start 11060.02409375
transcript.pyannote[2220].end 11081.20221875
transcript.pyannote[2221].speaker SPEAKER_03
transcript.pyannote[2221].start 11060.91846875
transcript.pyannote[2221].end 11061.25596875
transcript.pyannote[2222].speaker SPEAKER_14
transcript.pyannote[2222].start 11081.53971875
transcript.pyannote[2222].end 11084.64471875
transcript.pyannote[2223].speaker SPEAKER_14
transcript.pyannote[2223].start 11085.28596875
transcript.pyannote[2223].end 11087.15909375
transcript.pyannote[2224].speaker SPEAKER_08
transcript.pyannote[2224].start 11086.28159375
transcript.pyannote[2224].end 11086.77096875
transcript.pyannote[2225].speaker SPEAKER_14
transcript.pyannote[2225].start 11087.46284375
transcript.pyannote[2225].end 11087.71596875
transcript.pyannote[2226].speaker SPEAKER_08
transcript.pyannote[2226].start 11087.59784375
transcript.pyannote[2226].end 11087.96909375
transcript.pyannote[2227].speaker SPEAKER_14
transcript.pyannote[2227].start 11087.86784375
transcript.pyannote[2227].end 11107.88159375
transcript.pyannote[2228].speaker SPEAKER_03
transcript.pyannote[2228].start 11107.93221875
transcript.pyannote[2228].end 11119.20471875
transcript.pyannote[2229].speaker SPEAKER_14
transcript.pyannote[2229].start 11115.08721875
transcript.pyannote[2229].end 11125.71846875
transcript.pyannote[2230].speaker SPEAKER_03
transcript.pyannote[2230].start 11122.93409375
transcript.pyannote[2230].end 11123.42346875
transcript.pyannote[2231].speaker SPEAKER_03
transcript.pyannote[2231].start 11123.89596875
transcript.pyannote[2231].end 11129.24534375
transcript.pyannote[2232].speaker SPEAKER_14
transcript.pyannote[2232].start 11127.10221875
transcript.pyannote[2232].end 11146.22159375
transcript.pyannote[2233].speaker SPEAKER_14
transcript.pyannote[2233].start 11146.54221875
transcript.pyannote[2233].end 11147.48721875
transcript.pyannote[2234].speaker SPEAKER_14
transcript.pyannote[2234].start 11147.97659375
transcript.pyannote[2234].end 11149.96784375
transcript.pyannote[2235].speaker SPEAKER_03
transcript.pyannote[2235].start 11148.87096875
transcript.pyannote[2235].end 11152.33034375
transcript.pyannote[2236].speaker SPEAKER_14
transcript.pyannote[2236].start 11151.65534375
transcript.pyannote[2236].end 11159.35034375
transcript.pyannote[2237].speaker SPEAKER_14
transcript.pyannote[2237].start 11159.72159375
transcript.pyannote[2237].end 11179.73534375
transcript.pyannote[2238].speaker SPEAKER_14
transcript.pyannote[2238].start 11180.32596875
transcript.pyannote[2238].end 11184.22409375
transcript.pyannote[2239].speaker SPEAKER_03
transcript.pyannote[2239].start 11185.33784375
transcript.pyannote[2239].end 11194.51784375
transcript.pyannote[2240].speaker SPEAKER_14
transcript.pyannote[2240].start 11192.49284375
transcript.pyannote[2240].end 11197.48784375
transcript.pyannote[2241].speaker SPEAKER_03
transcript.pyannote[2241].start 11194.85534375
transcript.pyannote[2241].end 11195.34471875
transcript.pyannote[2242].speaker SPEAKER_14
transcript.pyannote[2242].start 11197.60596875
transcript.pyannote[2242].end 11200.10346875
transcript.pyannote[2243].speaker SPEAKER_03
transcript.pyannote[2243].start 11197.65659375
transcript.pyannote[2243].end 11198.23034375
transcript.pyannote[2244].speaker SPEAKER_03
transcript.pyannote[2244].start 11198.87159375
transcript.pyannote[2244].end 11201.25096875
transcript.pyannote[2245].speaker SPEAKER_14
transcript.pyannote[2245].start 11201.58846875
transcript.pyannote[2245].end 11224.25159375
transcript.pyannote[2246].speaker SPEAKER_03
transcript.pyannote[2246].start 11205.46971875
transcript.pyannote[2246].end 11207.15721875
transcript.pyannote[2247].speaker SPEAKER_03
transcript.pyannote[2247].start 11210.61659375
transcript.pyannote[2247].end 11210.98784375
transcript.pyannote[2248].speaker SPEAKER_03
transcript.pyannote[2248].start 11212.03409375
transcript.pyannote[2248].end 11212.05096875
transcript.pyannote[2249].speaker SPEAKER_08
transcript.pyannote[2249].start 11212.05096875
transcript.pyannote[2249].end 11212.10159375
transcript.pyannote[2250].speaker SPEAKER_03
transcript.pyannote[2250].start 11212.10159375
transcript.pyannote[2250].end 11212.27034375
transcript.pyannote[2251].speaker SPEAKER_03
transcript.pyannote[2251].start 11222.63159375
transcript.pyannote[2251].end 11228.74034375
transcript.pyannote[2252].speaker SPEAKER_14
transcript.pyannote[2252].start 11226.91784375
transcript.pyannote[2252].end 11227.42409375
transcript.pyannote[2253].speaker SPEAKER_14
transcript.pyannote[2253].start 11227.98096875
transcript.pyannote[2253].end 11229.36471875
transcript.pyannote[2254].speaker SPEAKER_03
transcript.pyannote[2254].start 11228.82471875
transcript.pyannote[2254].end 11233.65096875
transcript.pyannote[2255].speaker SPEAKER_14
transcript.pyannote[2255].start 11230.34346875
transcript.pyannote[2255].end 11231.40659375
transcript.pyannote[2256].speaker SPEAKER_14
transcript.pyannote[2256].start 11232.68909375
transcript.pyannote[2256].end 11250.44159375
transcript.pyannote[2257].speaker SPEAKER_03
transcript.pyannote[2257].start 11250.13784375
transcript.pyannote[2257].end 11250.86346875
transcript.pyannote[2258].speaker SPEAKER_13
transcript.pyannote[2258].start 11252.70284375
transcript.pyannote[2258].end 11258.47409375
transcript.pyannote[2259].speaker SPEAKER_20
transcript.pyannote[2259].start 11271.63659375
transcript.pyannote[2259].end 11277.22221875
transcript.pyannote[2260].speaker SPEAKER_13
transcript.pyannote[2260].start 11277.20534375
transcript.pyannote[2260].end 11278.20096875
transcript.pyannote[2261].speaker SPEAKER_03
transcript.pyannote[2261].start 11277.23909375
transcript.pyannote[2261].end 11277.27284375
transcript.pyannote[2262].speaker SPEAKER_08
transcript.pyannote[2262].start 11277.27284375
transcript.pyannote[2262].end 11277.40784375
transcript.pyannote[2263].speaker SPEAKER_03
transcript.pyannote[2263].start 11277.40784375
transcript.pyannote[2263].end 11277.55971875
transcript.pyannote[2264].speaker SPEAKER_20
transcript.pyannote[2264].start 11279.07846875
transcript.pyannote[2264].end 11281.50846875
transcript.pyannote[2265].speaker SPEAKER_20
transcript.pyannote[2265].start 11282.94284375
transcript.pyannote[2265].end 11293.67534375
transcript.pyannote[2266].speaker SPEAKER_20
transcript.pyannote[2266].start 11294.09721875
transcript.pyannote[2266].end 11296.17284375
transcript.pyannote[2267].speaker SPEAKER_20
transcript.pyannote[2267].start 11296.81409375
transcript.pyannote[2267].end 11299.73346875
transcript.pyannote[2268].speaker SPEAKER_20
transcript.pyannote[2268].start 11300.30721875
transcript.pyannote[2268].end 11305.52159375
transcript.pyannote[2269].speaker SPEAKER_20
transcript.pyannote[2269].start 11305.85909375
transcript.pyannote[2269].end 11306.48346875
transcript.pyannote[2270].speaker SPEAKER_20
transcript.pyannote[2270].start 11306.95596875
transcript.pyannote[2270].end 11309.20034375
transcript.pyannote[2271].speaker SPEAKER_20
transcript.pyannote[2271].start 11309.45346875
transcript.pyannote[2271].end 11310.44909375
transcript.pyannote[2272].speaker SPEAKER_20
transcript.pyannote[2272].start 11310.73596875
transcript.pyannote[2272].end 11311.68096875
transcript.pyannote[2273].speaker SPEAKER_20
transcript.pyannote[2273].start 11312.25471875
transcript.pyannote[2273].end 11315.42721875
transcript.pyannote[2274].speaker SPEAKER_20
transcript.pyannote[2274].start 11316.11909375
transcript.pyannote[2274].end 11319.37596875
transcript.pyannote[2275].speaker SPEAKER_20
transcript.pyannote[2275].start 11319.96659375
transcript.pyannote[2275].end 11321.28284375
transcript.pyannote[2276].speaker SPEAKER_20
transcript.pyannote[2276].start 11321.68784375
transcript.pyannote[2276].end 11323.64534375
transcript.pyannote[2277].speaker SPEAKER_20
transcript.pyannote[2277].start 11324.08409375
transcript.pyannote[2277].end 11324.80971875
transcript.pyannote[2278].speaker SPEAKER_20
transcript.pyannote[2278].start 11324.87721875
transcript.pyannote[2278].end 11328.87659375
transcript.pyannote[2279].speaker SPEAKER_20
transcript.pyannote[2279].start 11329.06221875
transcript.pyannote[2279].end 11364.33096875
transcript.pyannote[2280].speaker SPEAKER_08
transcript.pyannote[2280].start 11359.43721875
transcript.pyannote[2280].end 11359.77471875
transcript.pyannote[2281].speaker SPEAKER_08
transcript.pyannote[2281].start 11359.85909375
transcript.pyannote[2281].end 11359.89284375
transcript.pyannote[2282].speaker SPEAKER_20
transcript.pyannote[2282].start 11364.80346875
transcript.pyannote[2282].end 11381.61096875
transcript.pyannote[2283].speaker SPEAKER_20
transcript.pyannote[2283].start 11381.93159375
transcript.pyannote[2283].end 11384.39534375
transcript.pyannote[2284].speaker SPEAKER_20
transcript.pyannote[2284].start 11384.86784375
transcript.pyannote[2284].end 11398.77284375
transcript.pyannote[2285].speaker SPEAKER_08
transcript.pyannote[2285].start 11395.31346875
transcript.pyannote[2285].end 11396.14034375
transcript.pyannote[2286].speaker SPEAKER_20
transcript.pyannote[2286].start 11399.00909375
transcript.pyannote[2286].end 11408.42534375
transcript.pyannote[2287].speaker SPEAKER_20
transcript.pyannote[2287].start 11409.11721875
transcript.pyannote[2287].end 11410.78784375
transcript.pyannote[2288].speaker SPEAKER_20
transcript.pyannote[2288].start 11411.07471875
transcript.pyannote[2288].end 11412.05346875
transcript.pyannote[2289].speaker SPEAKER_20
transcript.pyannote[2289].start 11412.55971875
transcript.pyannote[2289].end 11414.02784375
transcript.pyannote[2290].speaker SPEAKER_20
transcript.pyannote[2290].start 11414.19659375
transcript.pyannote[2290].end 11415.63096875
transcript.pyannote[2291].speaker SPEAKER_20
transcript.pyannote[2291].start 11416.55909375
transcript.pyannote[2291].end 11424.55784375
transcript.pyannote[2292].speaker SPEAKER_20
transcript.pyannote[2292].start 11425.13159375
transcript.pyannote[2292].end 11427.51096875
transcript.pyannote[2293].speaker SPEAKER_20
transcript.pyannote[2293].start 11427.89909375
transcript.pyannote[2293].end 11429.02971875
transcript.pyannote[2294].speaker SPEAKER_20
transcript.pyannote[2294].start 11429.70471875
transcript.pyannote[2294].end 11432.13471875
transcript.pyannote[2295].speaker SPEAKER_20
transcript.pyannote[2295].start 11432.28659375
transcript.pyannote[2295].end 11433.94034375
transcript.pyannote[2296].speaker SPEAKER_20
transcript.pyannote[2296].start 11434.58159375
transcript.pyannote[2296].end 11437.65284375
transcript.pyannote[2297].speaker SPEAKER_20
transcript.pyannote[2297].start 11438.39534375
transcript.pyannote[2297].end 11440.21784375
transcript.pyannote[2298].speaker SPEAKER_20
transcript.pyannote[2298].start 11440.50471875
transcript.pyannote[2298].end 11441.34846875
transcript.pyannote[2299].speaker SPEAKER_20
transcript.pyannote[2299].start 11441.82096875
transcript.pyannote[2299].end 11450.35971875
transcript.pyannote[2300].speaker SPEAKER_20
transcript.pyannote[2300].start 11450.74784375
transcript.pyannote[2300].end 11452.97534375
transcript.pyannote[2301].speaker SPEAKER_03
transcript.pyannote[2301].start 11453.49846875
transcript.pyannote[2301].end 11478.06846875
transcript.pyannote[2302].speaker SPEAKER_00
transcript.pyannote[2302].start 11463.18471875
transcript.pyannote[2302].end 11463.23534375
transcript.pyannote[2303].speaker SPEAKER_08
transcript.pyannote[2303].start 11463.23534375
transcript.pyannote[2303].end 11463.65721875
transcript.pyannote[2304].speaker SPEAKER_00
transcript.pyannote[2304].start 11463.65721875
transcript.pyannote[2304].end 11463.74159375
transcript.pyannote[2305].speaker SPEAKER_20
transcript.pyannote[2305].start 11474.52471875
transcript.pyannote[2305].end 11474.59221875
transcript.pyannote[2306].speaker SPEAKER_03
transcript.pyannote[2306].start 11478.32159375
transcript.pyannote[2306].end 11478.72659375
transcript.pyannote[2307].speaker SPEAKER_20
transcript.pyannote[2307].start 11479.11471875
transcript.pyannote[2307].end 11481.39284375
transcript.pyannote[2308].speaker SPEAKER_20
transcript.pyannote[2308].start 11482.50659375
transcript.pyannote[2308].end 11485.88159375
transcript.pyannote[2309].speaker SPEAKER_20
transcript.pyannote[2309].start 11486.10096875
transcript.pyannote[2309].end 11499.02721875
transcript.pyannote[2310].speaker SPEAKER_20
transcript.pyannote[2310].start 11500.27596875
transcript.pyannote[2310].end 11514.36659375
transcript.pyannote[2311].speaker SPEAKER_20
transcript.pyannote[2311].start 11514.58596875
transcript.pyannote[2311].end 11525.33534375
transcript.pyannote[2312].speaker SPEAKER_20
transcript.pyannote[2312].start 11525.87534375
transcript.pyannote[2312].end 11527.09034375
transcript.pyannote[2313].speaker SPEAKER_20
transcript.pyannote[2313].start 11527.24221875
transcript.pyannote[2313].end 11532.01784375
transcript.pyannote[2314].speaker SPEAKER_20
transcript.pyannote[2314].start 11532.59159375
transcript.pyannote[2314].end 11533.18221875
transcript.pyannote[2315].speaker SPEAKER_20
transcript.pyannote[2315].start 11533.82346875
transcript.pyannote[2315].end 11545.07909375
transcript.pyannote[2316].speaker SPEAKER_20
transcript.pyannote[2316].start 11545.95659375
transcript.pyannote[2316].end 11552.04846875
transcript.pyannote[2317].speaker SPEAKER_20
transcript.pyannote[2317].start 11552.62221875
transcript.pyannote[2317].end 11554.66409375
transcript.pyannote[2318].speaker SPEAKER_20
transcript.pyannote[2318].start 11555.05221875
transcript.pyannote[2318].end 11586.59159375
transcript.pyannote[2319].speaker SPEAKER_20
transcript.pyannote[2319].start 11586.62534375
transcript.pyannote[2319].end 11586.65909375
transcript.pyannote[2320].speaker SPEAKER_20
transcript.pyannote[2320].start 11586.69284375
transcript.pyannote[2320].end 11588.51534375
transcript.pyannote[2321].speaker SPEAKER_20
transcript.pyannote[2321].start 11589.29159375
transcript.pyannote[2321].end 11589.76409375
transcript.pyannote[2322].speaker SPEAKER_20
transcript.pyannote[2322].start 11591.33346875
transcript.pyannote[2322].end 11612.47784375
transcript.pyannote[2323].speaker SPEAKER_03
transcript.pyannote[2323].start 11613.08534375
transcript.pyannote[2323].end 11615.75159375
transcript.pyannote[2324].speaker SPEAKER_20
transcript.pyannote[2324].start 11615.32971875
transcript.pyannote[2324].end 11616.84846875
transcript.pyannote[2325].speaker SPEAKER_03
transcript.pyannote[2325].start 11616.05534375
transcript.pyannote[2325].end 11620.22346875
transcript.pyannote[2326].speaker SPEAKER_20
transcript.pyannote[2326].start 11619.58221875
transcript.pyannote[2326].end 11620.67909375
transcript.pyannote[2327].speaker SPEAKER_20
transcript.pyannote[2327].start 11621.16846875
transcript.pyannote[2327].end 11637.87471875
transcript.pyannote[2328].speaker SPEAKER_20
transcript.pyannote[2328].start 11638.43159375
transcript.pyannote[2328].end 11671.84409375
transcript.pyannote[2329].speaker SPEAKER_03
transcript.pyannote[2329].start 11672.35034375
transcript.pyannote[2329].end 11673.76784375
transcript.pyannote[2330].speaker SPEAKER_20
transcript.pyannote[2330].start 11673.21096875
transcript.pyannote[2330].end 11674.49346875
transcript.pyannote[2331].speaker SPEAKER_20
transcript.pyannote[2331].start 11674.72971875
transcript.pyannote[2331].end 11683.18409375
transcript.pyannote[2332].speaker SPEAKER_03
transcript.pyannote[2332].start 11683.58909375
transcript.pyannote[2332].end 11684.29784375
transcript.pyannote[2333].speaker SPEAKER_20
transcript.pyannote[2333].start 11684.41596875
transcript.pyannote[2333].end 11685.31034375
transcript.pyannote[2334].speaker SPEAKER_20
transcript.pyannote[2334].start 11685.83346875
transcript.pyannote[2334].end 11712.81659375
transcript.pyannote[2335].speaker SPEAKER_20
transcript.pyannote[2335].start 11713.40721875
transcript.pyannote[2335].end 11731.58159375
transcript.pyannote[2336].speaker SPEAKER_20
transcript.pyannote[2336].start 11732.67846875
transcript.pyannote[2336].end 11736.91409375
transcript.pyannote[2337].speaker SPEAKER_20
transcript.pyannote[2337].start 11737.52159375
transcript.pyannote[2337].end 11742.17909375
transcript.pyannote[2338].speaker SPEAKER_20
transcript.pyannote[2338].start 11742.70221875
transcript.pyannote[2338].end 11744.08596875
transcript.pyannote[2339].speaker SPEAKER_20
transcript.pyannote[2339].start 11744.81159375
transcript.pyannote[2339].end 11745.73971875
transcript.pyannote[2340].speaker SPEAKER_03
transcript.pyannote[2340].start 11745.92534375
transcript.pyannote[2340].end 11749.41846875
transcript.pyannote[2341].speaker SPEAKER_20
transcript.pyannote[2341].start 11748.42284375
transcript.pyannote[2341].end 11769.04409375
transcript.pyannote[2342].speaker SPEAKER_20
transcript.pyannote[2342].start 11769.58409375
transcript.pyannote[2342].end 11777.29596875
transcript.pyannote[2343].speaker SPEAKER_03
transcript.pyannote[2343].start 11777.46471875
transcript.pyannote[2343].end 11778.86534375
transcript.pyannote[2344].speaker SPEAKER_20
transcript.pyannote[2344].start 11777.97096875
transcript.pyannote[2344].end 11793.46221875
transcript.pyannote[2345].speaker SPEAKER_03
transcript.pyannote[2345].start 11778.96659375
transcript.pyannote[2345].end 11779.59096875
transcript.pyannote[2346].speaker SPEAKER_03
transcript.pyannote[2346].start 11793.32721875
transcript.pyannote[2346].end 11803.65471875
transcript.pyannote[2347].speaker SPEAKER_03
transcript.pyannote[2347].start 11804.16096875
transcript.pyannote[2347].end 11810.32034375
transcript.pyannote[2348].speaker SPEAKER_20
transcript.pyannote[2348].start 11810.26971875
transcript.pyannote[2348].end 11825.71034375
transcript.pyannote[2349].speaker SPEAKER_03
transcript.pyannote[2349].start 11814.30284375
transcript.pyannote[2349].end 11814.58971875
transcript.pyannote[2350].speaker SPEAKER_20
transcript.pyannote[2350].start 11825.87909375
transcript.pyannote[2350].end 11828.29221875
transcript.pyannote[2351].speaker SPEAKER_13
transcript.pyannote[2351].start 11833.08471875
transcript.pyannote[2351].end 11838.67034375
transcript.pyannote[2352].speaker SPEAKER_10
transcript.pyannote[2352].start 11846.28096875
transcript.pyannote[2352].end 11849.38596875
transcript.pyannote[2353].speaker SPEAKER_10
transcript.pyannote[2353].start 11849.43659375
transcript.pyannote[2353].end 11851.68096875
transcript.pyannote[2354].speaker SPEAKER_13
transcript.pyannote[2354].start 11851.10721875
transcript.pyannote[2354].end 11852.45721875
transcript.pyannote[2355].speaker SPEAKER_10
transcript.pyannote[2355].start 11852.96346875
transcript.pyannote[2355].end 11872.53846875
transcript.pyannote[2356].speaker SPEAKER_03
transcript.pyannote[2356].start 11872.67346875
transcript.pyannote[2356].end 11874.96846875
transcript.pyannote[2357].speaker SPEAKER_03
transcript.pyannote[2357].start 11875.23846875
transcript.pyannote[2357].end 11881.95471875
transcript.pyannote[2358].speaker SPEAKER_03
transcript.pyannote[2358].start 11882.52846875
transcript.pyannote[2358].end 11885.22846875
transcript.pyannote[2359].speaker SPEAKER_10
transcript.pyannote[2359].start 11885.22846875
transcript.pyannote[2359].end 11928.64784375
transcript.pyannote[2360].speaker SPEAKER_03
transcript.pyannote[2360].start 11885.51534375
transcript.pyannote[2360].end 11885.88659375
transcript.pyannote[2361].speaker SPEAKER_10
transcript.pyannote[2361].start 11928.86721875
transcript.pyannote[2361].end 11942.26596875
transcript.pyannote[2362].speaker SPEAKER_03
transcript.pyannote[2362].start 11941.92846875
transcript.pyannote[2362].end 11943.41346875
transcript.pyannote[2363].speaker SPEAKER_10
transcript.pyannote[2363].start 11944.18971875
transcript.pyannote[2363].end 11959.22534375
transcript.pyannote[2364].speaker SPEAKER_10
transcript.pyannote[2364].start 11959.41096875
transcript.pyannote[2364].end 11979.88034375
transcript.pyannote[2365].speaker SPEAKER_10
transcript.pyannote[2365].start 11980.20096875
transcript.pyannote[2365].end 12001.46346875
transcript.pyannote[2366].speaker SPEAKER_03
transcript.pyannote[2366].start 12001.22721875
transcript.pyannote[2366].end 12026.45534375
transcript.pyannote[2367].speaker SPEAKER_10
transcript.pyannote[2367].start 12026.45534375
transcript.pyannote[2367].end 12026.65784375
transcript.pyannote[2368].speaker SPEAKER_03
transcript.pyannote[2368].start 12026.65784375
transcript.pyannote[2368].end 12027.01221875
transcript.pyannote[2369].speaker SPEAKER_10
transcript.pyannote[2369].start 12027.53534375
transcript.pyannote[2369].end 12027.77159375
transcript.pyannote[2370].speaker SPEAKER_10
transcript.pyannote[2370].start 12028.56471875
transcript.pyannote[2370].end 12032.88471875
transcript.pyannote[2371].speaker SPEAKER_03
transcript.pyannote[2371].start 12030.47159375
transcript.pyannote[2371].end 12034.09971875
transcript.pyannote[2372].speaker SPEAKER_10
transcript.pyannote[2372].start 12033.30659375
transcript.pyannote[2372].end 12047.93721875
transcript.pyannote[2373].speaker SPEAKER_03
transcript.pyannote[2373].start 12034.97721875
transcript.pyannote[2373].end 12035.39909375
transcript.pyannote[2374].speaker SPEAKER_10
transcript.pyannote[2374].start 12048.15659375
transcript.pyannote[2374].end 12055.24409375
transcript.pyannote[2375].speaker SPEAKER_10
transcript.pyannote[2375].start 12055.44659375
transcript.pyannote[2375].end 12058.93971875
transcript.pyannote[2376].speaker SPEAKER_03
transcript.pyannote[2376].start 12059.31096875
transcript.pyannote[2376].end 12060.77909375
transcript.pyannote[2377].speaker SPEAKER_10
transcript.pyannote[2377].start 12061.06596875
transcript.pyannote[2377].end 12103.94534375
transcript.pyannote[2378].speaker SPEAKER_03
transcript.pyannote[2378].start 12061.77471875
transcript.pyannote[2378].end 12062.02784375
transcript.pyannote[2379].speaker SPEAKER_03
transcript.pyannote[2379].start 12104.72159375
transcript.pyannote[2379].end 12105.04221875
transcript.pyannote[2380].speaker SPEAKER_03
transcript.pyannote[2380].start 12105.97034375
transcript.pyannote[2380].end 12107.97846875
transcript.pyannote[2381].speaker SPEAKER_03
transcript.pyannote[2381].start 12108.38346875
transcript.pyannote[2381].end 12113.68221875
transcript.pyannote[2382].speaker SPEAKER_10
transcript.pyannote[2382].start 12112.18034375
transcript.pyannote[2382].end 12121.19159375
transcript.pyannote[2383].speaker SPEAKER_10
transcript.pyannote[2383].start 12121.42784375
transcript.pyannote[2383].end 12131.21534375
transcript.pyannote[2384].speaker SPEAKER_10
transcript.pyannote[2384].start 12131.43471875
transcript.pyannote[2384].end 12141.45846875
transcript.pyannote[2385].speaker SPEAKER_10
transcript.pyannote[2385].start 12142.13346875
transcript.pyannote[2385].end 12155.26221875
transcript.pyannote[2386].speaker SPEAKER_03
transcript.pyannote[2386].start 12146.23409375
transcript.pyannote[2386].end 12147.55034375
transcript.pyannote[2387].speaker SPEAKER_03
transcript.pyannote[2387].start 12154.65471875
transcript.pyannote[2387].end 12158.02971875
transcript.pyannote[2388].speaker SPEAKER_10
transcript.pyannote[2388].start 12155.80221875
transcript.pyannote[2388].end 12156.96659375
transcript.pyannote[2389].speaker SPEAKER_10
transcript.pyannote[2389].start 12157.99596875
transcript.pyannote[2389].end 12160.03784375
transcript.pyannote[2390].speaker SPEAKER_03
transcript.pyannote[2390].start 12160.47659375
transcript.pyannote[2390].end 12176.06909375
transcript.pyannote[2391].speaker SPEAKER_10
transcript.pyannote[2391].start 12176.49096875
transcript.pyannote[2391].end 12176.50784375
transcript.pyannote[2392].speaker SPEAKER_03
transcript.pyannote[2392].start 12176.50784375
transcript.pyannote[2392].end 12176.87909375
transcript.pyannote[2393].speaker SPEAKER_10
transcript.pyannote[2393].start 12176.82846875
transcript.pyannote[2393].end 12190.61534375
transcript.pyannote[2394].speaker SPEAKER_10
transcript.pyannote[2394].start 12191.30721875
transcript.pyannote[2394].end 12193.04534375
transcript.pyannote[2395].speaker SPEAKER_03
transcript.pyannote[2395].start 12193.14659375
transcript.pyannote[2395].end 12194.27721875
transcript.pyannote[2396].speaker SPEAKER_10
transcript.pyannote[2396].start 12193.95659375
transcript.pyannote[2396].end 12196.72409375
transcript.pyannote[2397].speaker SPEAKER_03
transcript.pyannote[2397].start 12196.72409375
transcript.pyannote[2397].end 12205.16159375
transcript.pyannote[2398].speaker SPEAKER_10
transcript.pyannote[2398].start 12206.05596875
transcript.pyannote[2398].end 12208.95846875
transcript.pyannote[2399].speaker SPEAKER_03
transcript.pyannote[2399].start 12207.38909375
transcript.pyannote[2399].end 12211.27034375
transcript.pyannote[2400].speaker SPEAKER_03
transcript.pyannote[2400].start 12211.54034375
transcript.pyannote[2400].end 12211.74284375
transcript.pyannote[2401].speaker SPEAKER_10
transcript.pyannote[2401].start 12211.62471875
transcript.pyannote[2401].end 12211.91159375
transcript.pyannote[2402].speaker SPEAKER_10
transcript.pyannote[2402].start 12211.96221875
transcript.pyannote[2402].end 12214.34159375
transcript.pyannote[2403].speaker SPEAKER_13
transcript.pyannote[2403].start 12213.10971875
transcript.pyannote[2403].end 12213.12659375
transcript.pyannote[2404].speaker SPEAKER_03
transcript.pyannote[2404].start 12213.12659375
transcript.pyannote[2404].end 12213.26159375
transcript.pyannote[2405].speaker SPEAKER_13
transcript.pyannote[2405].start 12216.14721875
transcript.pyannote[2405].end 12219.79221875
transcript.pyannote[2406].speaker SPEAKER_13
transcript.pyannote[2406].start 12221.85096875
transcript.pyannote[2406].end 12226.45784375
transcript.pyannote[2407].speaker SPEAKER_13
transcript.pyannote[2407].start 12227.75721875
transcript.pyannote[2407].end 12231.43596875
transcript.pyannote[2408].speaker SPEAKER_00
transcript.pyannote[2408].start 12240.10971875
transcript.pyannote[2408].end 12240.70034375
transcript.pyannote[2409].speaker SPEAKER_13
transcript.pyannote[2409].start 12240.90284375
transcript.pyannote[2409].end 12241.35846875
transcript.pyannote[2410].speaker SPEAKER_13
transcript.pyannote[2410].start 12243.88971875
transcript.pyannote[2410].end 12245.00346875
transcript.pyannote[2411].speaker SPEAKER_30
transcript.pyannote[2411].start 12247.83846875
transcript.pyannote[2411].end 12249.03659375
transcript.pyannote[2412].speaker SPEAKER_30
transcript.pyannote[2412].start 12249.79596875
transcript.pyannote[2412].end 12254.53784375
transcript.pyannote[2413].speaker SPEAKER_03
transcript.pyannote[2413].start 12255.02721875
transcript.pyannote[2413].end 12259.81971875
transcript.pyannote[2414].speaker SPEAKER_30
transcript.pyannote[2414].start 12259.81971875
transcript.pyannote[2414].end 12262.06409375
transcript.pyannote[2415].speaker SPEAKER_30
transcript.pyannote[2415].start 12262.78971875
transcript.pyannote[2415].end 12263.39721875
transcript.pyannote[2416].speaker SPEAKER_30
transcript.pyannote[2416].start 12264.51096875
transcript.pyannote[2416].end 12265.62471875
transcript.pyannote[2417].speaker SPEAKER_30
transcript.pyannote[2417].start 12266.94096875
transcript.pyannote[2417].end 12268.61159375
transcript.pyannote[2418].speaker SPEAKER_30
transcript.pyannote[2418].start 12268.83096875
transcript.pyannote[2418].end 12272.34096875
transcript.pyannote[2419].speaker SPEAKER_30
transcript.pyannote[2419].start 12273.13409375
transcript.pyannote[2419].end 12275.85096875
transcript.pyannote[2420].speaker SPEAKER_30
transcript.pyannote[2420].start 12277.30221875
transcript.pyannote[2420].end 12280.25534375
transcript.pyannote[2421].speaker SPEAKER_30
transcript.pyannote[2421].start 12280.74471875
transcript.pyannote[2421].end 12281.52096875
transcript.pyannote[2422].speaker SPEAKER_30
transcript.pyannote[2422].start 12282.65159375
transcript.pyannote[2422].end 12283.73159375
transcript.pyannote[2423].speaker SPEAKER_30
transcript.pyannote[2423].start 12284.22096875
transcript.pyannote[2423].end 12286.98846875
transcript.pyannote[2424].speaker SPEAKER_30
transcript.pyannote[2424].start 12287.37659375
transcript.pyannote[2424].end 12288.11909375
transcript.pyannote[2425].speaker SPEAKER_30
transcript.pyannote[2425].start 12288.99659375
transcript.pyannote[2425].end 12290.51534375
transcript.pyannote[2426].speaker SPEAKER_30
transcript.pyannote[2426].start 12291.17346875
transcript.pyannote[2426].end 12292.57409375
transcript.pyannote[2427].speaker SPEAKER_30
transcript.pyannote[2427].start 12292.82721875
transcript.pyannote[2427].end 12293.83971875
transcript.pyannote[2428].speaker SPEAKER_30
transcript.pyannote[2428].start 12294.14346875
transcript.pyannote[2428].end 12296.64096875
transcript.pyannote[2429].speaker SPEAKER_30
transcript.pyannote[2429].start 12296.86034375
transcript.pyannote[2429].end 12303.62721875
transcript.pyannote[2430].speaker SPEAKER_30
transcript.pyannote[2430].start 12304.67346875
transcript.pyannote[2430].end 12306.17534375
transcript.pyannote[2431].speaker SPEAKER_30
transcript.pyannote[2431].start 12307.03596875
transcript.pyannote[2431].end 12309.19596875
transcript.pyannote[2432].speaker SPEAKER_30
transcript.pyannote[2432].start 12309.44909375
transcript.pyannote[2432].end 12312.84096875
transcript.pyannote[2433].speaker SPEAKER_30
transcript.pyannote[2433].start 12313.90409375
transcript.pyannote[2433].end 12315.57471875
transcript.pyannote[2434].speaker SPEAKER_30
transcript.pyannote[2434].start 12317.05971875
transcript.pyannote[2434].end 12320.51909375
transcript.pyannote[2435].speaker SPEAKER_30
transcript.pyannote[2435].start 12321.04221875
transcript.pyannote[2435].end 12322.52721875
transcript.pyannote[2436].speaker SPEAKER_30
transcript.pyannote[2436].start 12322.84784375
transcript.pyannote[2436].end 12323.40471875
transcript.pyannote[2437].speaker SPEAKER_30
transcript.pyannote[2437].start 12323.67471875
transcript.pyannote[2437].end 12326.76284375
transcript.pyannote[2438].speaker SPEAKER_30
transcript.pyannote[2438].start 12327.69096875
transcript.pyannote[2438].end 12329.07471875
transcript.pyannote[2439].speaker SPEAKER_30
transcript.pyannote[2439].start 12329.69909375
transcript.pyannote[2439].end 12331.03221875
transcript.pyannote[2440].speaker SPEAKER_30
transcript.pyannote[2440].start 12331.48784375
transcript.pyannote[2440].end 12331.74096875
transcript.pyannote[2441].speaker SPEAKER_30
transcript.pyannote[2441].start 12332.14596875
transcript.pyannote[2441].end 12337.22534375
transcript.pyannote[2442].speaker SPEAKER_30
transcript.pyannote[2442].start 12338.37284375
transcript.pyannote[2442].end 12340.83659375
transcript.pyannote[2443].speaker SPEAKER_30
transcript.pyannote[2443].start 12341.51159375
transcript.pyannote[2443].end 12343.31721875
transcript.pyannote[2444].speaker SPEAKER_30
transcript.pyannote[2444].start 12343.87409375
transcript.pyannote[2444].end 12344.81909375
transcript.pyannote[2445].speaker SPEAKER_30
transcript.pyannote[2445].start 12345.02159375
transcript.pyannote[2445].end 12346.06784375
transcript.pyannote[2446].speaker SPEAKER_30
transcript.pyannote[2446].start 12346.65846875
transcript.pyannote[2446].end 12347.26596875
transcript.pyannote[2447].speaker SPEAKER_30
transcript.pyannote[2447].start 12347.55284375
transcript.pyannote[2447].end 12349.72971875
transcript.pyannote[2448].speaker SPEAKER_08
transcript.pyannote[2448].start 12349.83096875
transcript.pyannote[2448].end 12350.05034375
transcript.pyannote[2449].speaker SPEAKER_30
transcript.pyannote[2449].start 12350.13471875
transcript.pyannote[2449].end 12351.73784375
transcript.pyannote[2450].speaker SPEAKER_30
transcript.pyannote[2450].start 12352.41284375
transcript.pyannote[2450].end 12353.99909375
transcript.pyannote[2451].speaker SPEAKER_30
transcript.pyannote[2451].start 12354.20159375
transcript.pyannote[2451].end 12355.72034375
transcript.pyannote[2452].speaker SPEAKER_30
transcript.pyannote[2452].start 12356.20971875
transcript.pyannote[2452].end 12358.70721875
transcript.pyannote[2453].speaker SPEAKER_30
transcript.pyannote[2453].start 12359.07846875
transcript.pyannote[2453].end 12361.45784375
transcript.pyannote[2454].speaker SPEAKER_30
transcript.pyannote[2454].start 12362.04846875
transcript.pyannote[2454].end 12366.65534375
transcript.pyannote[2455].speaker SPEAKER_30
transcript.pyannote[2455].start 12367.51596875
transcript.pyannote[2455].end 12368.19096875
transcript.pyannote[2456].speaker SPEAKER_30
transcript.pyannote[2456].start 12369.10221875
transcript.pyannote[2456].end 12370.84034375
transcript.pyannote[2457].speaker SPEAKER_30
transcript.pyannote[2457].start 12371.22846875
transcript.pyannote[2457].end 12372.25784375
transcript.pyannote[2458].speaker SPEAKER_30
transcript.pyannote[2458].start 12372.84846875
transcript.pyannote[2458].end 12373.60784375
transcript.pyannote[2459].speaker SPEAKER_30
transcript.pyannote[2459].start 12374.58659375
transcript.pyannote[2459].end 12375.29534375
transcript.pyannote[2460].speaker SPEAKER_30
transcript.pyannote[2460].start 12375.88596875
transcript.pyannote[2460].end 12377.37096875
transcript.pyannote[2461].speaker SPEAKER_30
transcript.pyannote[2461].start 12377.79284375
transcript.pyannote[2461].end 12378.06284375
transcript.pyannote[2462].speaker SPEAKER_30
transcript.pyannote[2462].start 12378.38346875
transcript.pyannote[2462].end 12380.79659375
transcript.pyannote[2463].speaker SPEAKER_30
transcript.pyannote[2463].start 12382.23096875
transcript.pyannote[2463].end 12382.70346875
transcript.pyannote[2464].speaker SPEAKER_30
transcript.pyannote[2464].start 12382.92284375
transcript.pyannote[2464].end 12384.05346875
transcript.pyannote[2465].speaker SPEAKER_30
transcript.pyannote[2465].start 12384.57659375
transcript.pyannote[2465].end 12386.07846875
transcript.pyannote[2466].speaker SPEAKER_30
transcript.pyannote[2466].start 12386.53409375
transcript.pyannote[2466].end 12389.33534375
transcript.pyannote[2467].speaker SPEAKER_30
transcript.pyannote[2467].start 12389.90909375
transcript.pyannote[2467].end 12390.60096875
transcript.pyannote[2468].speaker SPEAKER_30
transcript.pyannote[2468].start 12390.61784375
transcript.pyannote[2468].end 12392.96346875
transcript.pyannote[2469].speaker SPEAKER_30
transcript.pyannote[2469].start 12393.84096875
transcript.pyannote[2469].end 12394.07721875
transcript.pyannote[2470].speaker SPEAKER_30
transcript.pyannote[2470].start 12394.83659375
transcript.pyannote[2470].end 12398.58284375
transcript.pyannote[2471].speaker SPEAKER_30
transcript.pyannote[2471].start 12399.22409375
transcript.pyannote[2471].end 12399.78096875
transcript.pyannote[2472].speaker SPEAKER_30
transcript.pyannote[2472].start 12399.83159375
transcript.pyannote[2472].end 12402.00846875
transcript.pyannote[2473].speaker SPEAKER_30
transcript.pyannote[2473].start 12402.53159375
transcript.pyannote[2473].end 12406.58159375
transcript.pyannote[2474].speaker SPEAKER_30
transcript.pyannote[2474].start 12406.90221875
transcript.pyannote[2474].end 12407.52659375
transcript.pyannote[2475].speaker SPEAKER_30
transcript.pyannote[2475].start 12408.18471875
transcript.pyannote[2475].end 12411.50909375
transcript.pyannote[2476].speaker SPEAKER_30
transcript.pyannote[2476].start 12412.04909375
transcript.pyannote[2476].end 12415.20471875
transcript.pyannote[2477].speaker SPEAKER_30
transcript.pyannote[2477].start 12415.49159375
transcript.pyannote[2477].end 12425.81909375
transcript.pyannote[2478].speaker SPEAKER_30
transcript.pyannote[2478].start 12426.47721875
transcript.pyannote[2478].end 12428.43471875
transcript.pyannote[2479].speaker SPEAKER_30
transcript.pyannote[2479].start 12429.29534375
transcript.pyannote[2479].end 12431.03346875
transcript.pyannote[2480].speaker SPEAKER_30
transcript.pyannote[2480].start 12431.94471875
transcript.pyannote[2480].end 12434.32409375
transcript.pyannote[2481].speaker SPEAKER_30
transcript.pyannote[2481].start 12434.66159375
transcript.pyannote[2481].end 12435.08346875
transcript.pyannote[2482].speaker SPEAKER_30
transcript.pyannote[2482].start 12435.84284375
transcript.pyannote[2482].end 12438.32346875
transcript.pyannote[2483].speaker SPEAKER_08
transcript.pyannote[2483].start 12436.95659375
transcript.pyannote[2483].end 12437.05784375
transcript.pyannote[2484].speaker SPEAKER_00
transcript.pyannote[2484].start 12437.05784375
transcript.pyannote[2484].end 12437.10846875
transcript.pyannote[2485].speaker SPEAKER_30
transcript.pyannote[2485].start 12438.52596875
transcript.pyannote[2485].end 12446.59221875
transcript.pyannote[2486].speaker SPEAKER_30
transcript.pyannote[2486].start 12446.99721875
transcript.pyannote[2486].end 12447.43596875
transcript.pyannote[2487].speaker SPEAKER_30
transcript.pyannote[2487].start 12447.87471875
transcript.pyannote[2487].end 12450.77721875
transcript.pyannote[2488].speaker SPEAKER_30
transcript.pyannote[2488].start 12451.04721875
transcript.pyannote[2488].end 12451.40159375
transcript.pyannote[2489].speaker SPEAKER_30
transcript.pyannote[2489].start 12452.26221875
transcript.pyannote[2489].end 12452.58284375
transcript.pyannote[2490].speaker SPEAKER_30
transcript.pyannote[2490].start 12453.02159375
transcript.pyannote[2490].end 12453.86534375
transcript.pyannote[2491].speaker SPEAKER_30
transcript.pyannote[2491].start 12454.54034375
transcript.pyannote[2491].end 12455.72159375
transcript.pyannote[2492].speaker SPEAKER_30
transcript.pyannote[2492].start 12456.41346875
transcript.pyannote[2492].end 12459.01221875
transcript.pyannote[2493].speaker SPEAKER_30
transcript.pyannote[2493].start 12459.58596875
transcript.pyannote[2493].end 12461.34096875
transcript.pyannote[2494].speaker SPEAKER_30
transcript.pyannote[2494].start 12462.06659375
transcript.pyannote[2494].end 12462.67409375
transcript.pyannote[2495].speaker SPEAKER_30
transcript.pyannote[2495].start 12463.66971875
transcript.pyannote[2495].end 12465.91409375
transcript.pyannote[2496].speaker SPEAKER_03
transcript.pyannote[2496].start 12465.52596875
transcript.pyannote[2496].end 12465.88034375
transcript.pyannote[2497].speaker SPEAKER_03
transcript.pyannote[2497].start 12465.91409375
transcript.pyannote[2497].end 12465.93096875
transcript.pyannote[2498].speaker SPEAKER_08
transcript.pyannote[2498].start 12465.93096875
transcript.pyannote[2498].end 12465.94784375
transcript.pyannote[2499].speaker SPEAKER_30
transcript.pyannote[2499].start 12465.94784375
transcript.pyannote[2499].end 12465.98159375
transcript.pyannote[2500].speaker SPEAKER_30
transcript.pyannote[2500].start 12466.23471875
transcript.pyannote[2500].end 12467.09534375
transcript.pyannote[2501].speaker SPEAKER_30
transcript.pyannote[2501].start 12468.64784375
transcript.pyannote[2501].end 12470.40284375
transcript.pyannote[2502].speaker SPEAKER_30
transcript.pyannote[2502].start 12471.39846875
transcript.pyannote[2502].end 12476.34284375
transcript.pyannote[2503].speaker SPEAKER_30
transcript.pyannote[2503].start 12476.98409375
transcript.pyannote[2503].end 12478.11471875
transcript.pyannote[2504].speaker SPEAKER_30
transcript.pyannote[2504].start 12478.46909375
transcript.pyannote[2504].end 12478.95846875
transcript.pyannote[2505].speaker SPEAKER_30
transcript.pyannote[2505].start 12480.00471875
transcript.pyannote[2505].end 12482.65409375
transcript.pyannote[2506].speaker SPEAKER_30
transcript.pyannote[2506].start 12483.19409375
transcript.pyannote[2506].end 12483.81846875
transcript.pyannote[2507].speaker SPEAKER_30
transcript.pyannote[2507].start 12484.76346875
transcript.pyannote[2507].end 12486.60284375
transcript.pyannote[2508].speaker SPEAKER_30
transcript.pyannote[2508].start 12486.90659375
transcript.pyannote[2508].end 12493.57221875
transcript.pyannote[2509].speaker SPEAKER_30
transcript.pyannote[2509].start 12493.58909375
transcript.pyannote[2509].end 12495.73221875
transcript.pyannote[2510].speaker SPEAKER_30
transcript.pyannote[2510].start 12496.52534375
transcript.pyannote[2510].end 12500.77784375
transcript.pyannote[2511].speaker SPEAKER_30
transcript.pyannote[2511].start 12501.28409375
transcript.pyannote[2511].end 12502.51596875
transcript.pyannote[2512].speaker SPEAKER_30
transcript.pyannote[2512].start 12502.92096875
transcript.pyannote[2512].end 12504.65909375
transcript.pyannote[2513].speaker SPEAKER_30
transcript.pyannote[2513].start 12504.96284375
transcript.pyannote[2513].end 12506.54909375
transcript.pyannote[2514].speaker SPEAKER_30
transcript.pyannote[2514].start 12507.32534375
transcript.pyannote[2514].end 12510.24471875
transcript.pyannote[2515].speaker SPEAKER_30
transcript.pyannote[2515].start 12510.70034375
transcript.pyannote[2515].end 12511.51034375
transcript.pyannote[2516].speaker SPEAKER_30
transcript.pyannote[2516].start 12511.86471875
transcript.pyannote[2516].end 12514.07534375
transcript.pyannote[2517].speaker SPEAKER_30
transcript.pyannote[2517].start 12514.32846875
transcript.pyannote[2517].end 12517.06221875
transcript.pyannote[2518].speaker SPEAKER_30
transcript.pyannote[2518].start 12517.53471875
transcript.pyannote[2518].end 12518.31096875
transcript.pyannote[2519].speaker SPEAKER_30
transcript.pyannote[2519].start 12518.93534375
transcript.pyannote[2519].end 12519.66096875
transcript.pyannote[2520].speaker SPEAKER_30
transcript.pyannote[2520].start 12520.55534375
transcript.pyannote[2520].end 12522.37784375
transcript.pyannote[2521].speaker SPEAKER_30
transcript.pyannote[2521].start 12523.17096875
transcript.pyannote[2521].end 12525.43221875
transcript.pyannote[2522].speaker SPEAKER_30
transcript.pyannote[2522].start 12525.92159375
transcript.pyannote[2522].end 12526.79909375
transcript.pyannote[2523].speaker SPEAKER_30
transcript.pyannote[2523].start 12527.01846875
transcript.pyannote[2523].end 12527.82846875
transcript.pyannote[2524].speaker SPEAKER_30
transcript.pyannote[2524].start 12528.57096875
transcript.pyannote[2524].end 12530.69721875
transcript.pyannote[2525].speaker SPEAKER_30
transcript.pyannote[2525].start 12531.20346875
transcript.pyannote[2525].end 12532.26659375
transcript.pyannote[2526].speaker SPEAKER_30
transcript.pyannote[2526].start 12532.78971875
transcript.pyannote[2526].end 12534.02159375
transcript.pyannote[2527].speaker SPEAKER_30
transcript.pyannote[2527].start 12534.46034375
transcript.pyannote[2527].end 12535.57409375
transcript.pyannote[2528].speaker SPEAKER_30
transcript.pyannote[2528].start 12536.24909375
transcript.pyannote[2528].end 12539.43846875
transcript.pyannote[2529].speaker SPEAKER_30
transcript.pyannote[2529].start 12540.11346875
transcript.pyannote[2529].end 12540.90659375
transcript.pyannote[2530].speaker SPEAKER_30
transcript.pyannote[2530].start 12541.34534375
transcript.pyannote[2530].end 12546.37409375
transcript.pyannote[2531].speaker SPEAKER_30
transcript.pyannote[2531].start 12547.21784375
transcript.pyannote[2531].end 12547.62284375
transcript.pyannote[2532].speaker SPEAKER_30
transcript.pyannote[2532].start 12547.90971875
transcript.pyannote[2532].end 12551.03159375
transcript.pyannote[2533].speaker SPEAKER_30
transcript.pyannote[2533].start 12551.52096875
transcript.pyannote[2533].end 12552.83721875
transcript.pyannote[2534].speaker SPEAKER_30
transcript.pyannote[2534].start 12553.37721875
transcript.pyannote[2534].end 12554.28846875
transcript.pyannote[2535].speaker SPEAKER_30
transcript.pyannote[2535].start 12554.87909375
transcript.pyannote[2535].end 12555.60471875
transcript.pyannote[2536].speaker SPEAKER_30
transcript.pyannote[2536].start 12556.31346875
transcript.pyannote[2536].end 12556.56659375
transcript.pyannote[2537].speaker SPEAKER_30
transcript.pyannote[2537].start 12557.05596875
transcript.pyannote[2537].end 12558.20346875
transcript.pyannote[2538].speaker SPEAKER_30
transcript.pyannote[2538].start 12558.62534375
transcript.pyannote[2538].end 12561.34221875
transcript.pyannote[2539].speaker SPEAKER_30
transcript.pyannote[2539].start 12561.74721875
transcript.pyannote[2539].end 12563.46846875
transcript.pyannote[2540].speaker SPEAKER_30
transcript.pyannote[2540].start 12564.24471875
transcript.pyannote[2540].end 12567.04596875
transcript.pyannote[2541].speaker SPEAKER_30
transcript.pyannote[2541].start 12567.13034375
transcript.pyannote[2541].end 12568.54784375
transcript.pyannote[2542].speaker SPEAKER_30
transcript.pyannote[2542].start 12569.45909375
transcript.pyannote[2542].end 12571.95659375
transcript.pyannote[2543].speaker SPEAKER_30
transcript.pyannote[2543].start 12572.34471875
transcript.pyannote[2543].end 12573.28971875
transcript.pyannote[2544].speaker SPEAKER_30
transcript.pyannote[2544].start 12573.71159375
transcript.pyannote[2544].end 12574.72409375
transcript.pyannote[2545].speaker SPEAKER_30
transcript.pyannote[2545].start 12574.99409375
transcript.pyannote[2545].end 12576.90096875
transcript.pyannote[2546].speaker SPEAKER_30
transcript.pyannote[2546].start 12577.18784375
transcript.pyannote[2546].end 12578.16659375
transcript.pyannote[2547].speaker SPEAKER_30
transcript.pyannote[2547].start 12578.41971875
transcript.pyannote[2547].end 12585.92909375
transcript.pyannote[2548].speaker SPEAKER_03
transcript.pyannote[2548].start 12585.92909375
transcript.pyannote[2548].end 12586.58721875
transcript.pyannote[2549].speaker SPEAKER_30
transcript.pyannote[2549].start 12586.58721875
transcript.pyannote[2549].end 12587.29596875
transcript.pyannote[2550].speaker SPEAKER_13
transcript.pyannote[2550].start 12587.92034375
transcript.pyannote[2550].end 12591.71721875
transcript.pyannote[2551].speaker SPEAKER_13
transcript.pyannote[2551].start 12593.45534375
transcript.pyannote[2551].end 12595.88534375
transcript.pyannote[2552].speaker SPEAKER_13
transcript.pyannote[2552].start 12597.03284375
transcript.pyannote[2552].end 12605.30159375
transcript.pyannote[2553].speaker SPEAKER_13
transcript.pyannote[2553].start 12605.82471875
transcript.pyannote[2553].end 12610.43159375
transcript.pyannote[2554].speaker SPEAKER_13
transcript.pyannote[2554].start 12619.56096875
transcript.pyannote[2554].end 12621.82221875
transcript.pyannote[2555].speaker SPEAKER_13
transcript.pyannote[2555].start 12622.53096875
transcript.pyannote[2555].end 12628.69034375
transcript.pyannote[2556].speaker SPEAKER_13
transcript.pyannote[2556].start 12629.60159375
transcript.pyannote[2556].end 12636.35159375
transcript.pyannote[2557].speaker SPEAKER_13
transcript.pyannote[2557].start 12641.24534375
transcript.pyannote[2557].end 12649.81784375
transcript.pyannote[2558].speaker SPEAKER_13
transcript.pyannote[2558].start 12659.18346875
transcript.pyannote[2558].end 12662.71034375
transcript.pyannote[2559].speaker SPEAKER_13
transcript.pyannote[2559].start 12664.63409375
transcript.pyannote[2559].end 12670.43909375
transcript.pyannote[2560].speaker SPEAKER_13
transcript.pyannote[2560].start 12670.89471875
transcript.pyannote[2560].end 12674.87721875
transcript.pyannote[2561].speaker SPEAKER_13
transcript.pyannote[2561].start 12675.19784375
transcript.pyannote[2561].end 12678.06659375
transcript.pyannote[2562].speaker SPEAKER_13
transcript.pyannote[2562].start 13058.36159375
transcript.pyannote[2562].end 13066.93409375
transcript.pyannote[2563].speaker SPEAKER_13
transcript.pyannote[2563].start 13069.56659375
transcript.pyannote[2563].end 13071.67596875
transcript.pyannote[2564].speaker SPEAKER_13
transcript.pyannote[2564].start 13076.36721875
transcript.pyannote[2564].end 13076.97471875
transcript.pyannote[2565].speaker SPEAKER_07
transcript.pyannote[2565].start 13076.97471875
transcript.pyannote[2565].end 13077.02534375
transcript.pyannote[2566].speaker SPEAKER_18
transcript.pyannote[2566].start 13077.02534375
transcript.pyannote[2566].end 13077.10971875
transcript.pyannote[2567].speaker SPEAKER_07
transcript.pyannote[2567].start 13077.10971875
transcript.pyannote[2567].end 13077.12659375
transcript.pyannote[2568].speaker SPEAKER_18
transcript.pyannote[2568].start 13077.48096875
transcript.pyannote[2568].end 13082.03721875
transcript.pyannote[2569].speaker SPEAKER_18
transcript.pyannote[2569].start 13082.34096875
transcript.pyannote[2569].end 13083.75846875
transcript.pyannote[2570].speaker SPEAKER_18
transcript.pyannote[2570].start 13083.97784375
transcript.pyannote[2570].end 13087.48784375
transcript.pyannote[2571].speaker SPEAKER_18
transcript.pyannote[2571].start 13087.74096875
transcript.pyannote[2571].end 13090.39034375
transcript.pyannote[2572].speaker SPEAKER_18
transcript.pyannote[2572].start 13090.42409375
transcript.pyannote[2572].end 13093.07346875
transcript.pyannote[2573].speaker SPEAKER_18
transcript.pyannote[2573].start 13093.32659375
transcript.pyannote[2573].end 13094.71034375
transcript.pyannote[2574].speaker SPEAKER_18
transcript.pyannote[2574].start 13094.87909375
transcript.pyannote[2574].end 13097.02221875
transcript.pyannote[2575].speaker SPEAKER_18
transcript.pyannote[2575].start 13097.17409375
transcript.pyannote[2575].end 13100.90346875
transcript.pyannote[2576].speaker SPEAKER_18
transcript.pyannote[2576].start 13101.17346875
transcript.pyannote[2576].end 13105.67909375
transcript.pyannote[2577].speaker SPEAKER_18
transcript.pyannote[2577].start 13105.93221875
transcript.pyannote[2577].end 13107.92346875
transcript.pyannote[2578].speaker SPEAKER_18
transcript.pyannote[2578].start 13108.42971875
transcript.pyannote[2578].end 13129.50659375
transcript.pyannote[2579].speaker SPEAKER_18
transcript.pyannote[2579].start 13129.75971875
transcript.pyannote[2579].end 13141.99409375
transcript.pyannote[2580].speaker SPEAKER_18
transcript.pyannote[2580].start 13142.41596875
transcript.pyannote[2580].end 13166.15909375
transcript.pyannote[2581].speaker SPEAKER_18
transcript.pyannote[2581].start 13166.24346875
transcript.pyannote[2581].end 13217.47596875
transcript.pyannote[2582].speaker SPEAKER_18
transcript.pyannote[2582].start 13217.67846875
transcript.pyannote[2582].end 13224.66471875
transcript.pyannote[2583].speaker SPEAKER_13
transcript.pyannote[2583].start 13225.66034375
transcript.pyannote[2583].end 13230.80721875
transcript.pyannote[2584].speaker SPEAKER_17
transcript.pyannote[2584].start 13240.12221875
transcript.pyannote[2584].end 13241.91096875
transcript.pyannote[2585].speaker SPEAKER_13
transcript.pyannote[2585].start 13243.12596875
transcript.pyannote[2585].end 13244.77971875
transcript.pyannote[2586].speaker SPEAKER_13
transcript.pyannote[2586].start 13248.89721875
transcript.pyannote[2586].end 13248.91409375
transcript.pyannote[2587].speaker SPEAKER_17
transcript.pyannote[2587].start 13248.91409375
transcript.pyannote[2587].end 13256.67659375
transcript.pyannote[2588].speaker SPEAKER_13
transcript.pyannote[2588].start 13250.04471875
transcript.pyannote[2588].end 13251.37784375
transcript.pyannote[2589].speaker SPEAKER_17
transcript.pyannote[2589].start 13257.09846875
transcript.pyannote[2589].end 13264.65846875
transcript.pyannote[2590].speaker SPEAKER_00
transcript.pyannote[2590].start 13260.20346875
transcript.pyannote[2590].end 13260.25409375
transcript.pyannote[2591].speaker SPEAKER_17
transcript.pyannote[2591].start 13265.40096875
transcript.pyannote[2591].end 13267.61159375
transcript.pyannote[2592].speaker SPEAKER_17
transcript.pyannote[2592].start 13268.13471875
transcript.pyannote[2592].end 13271.34096875
transcript.pyannote[2593].speaker SPEAKER_17
transcript.pyannote[2593].start 13271.57721875
transcript.pyannote[2593].end 13276.70721875
transcript.pyannote[2594].speaker SPEAKER_17
transcript.pyannote[2594].start 13277.07846875
transcript.pyannote[2594].end 13279.30596875
transcript.pyannote[2595].speaker SPEAKER_17
transcript.pyannote[2595].start 13279.81221875
transcript.pyannote[2595].end 13282.68096875
transcript.pyannote[2596].speaker SPEAKER_17
transcript.pyannote[2596].start 13283.11971875
transcript.pyannote[2596].end 13289.04284375
transcript.pyannote[2597].speaker SPEAKER_17
transcript.pyannote[2597].start 13289.29596875
transcript.pyannote[2597].end 13294.32471875
transcript.pyannote[2598].speaker SPEAKER_17
transcript.pyannote[2598].start 13294.84784375
transcript.pyannote[2598].end 13294.89846875
transcript.pyannote[2599].speaker SPEAKER_17
transcript.pyannote[2599].start 13295.38784375
transcript.pyannote[2599].end 13305.47909375
transcript.pyannote[2600].speaker SPEAKER_17
transcript.pyannote[2600].start 13305.90096875
transcript.pyannote[2600].end 13311.92534375
transcript.pyannote[2601].speaker SPEAKER_17
transcript.pyannote[2601].start 13312.29659375
transcript.pyannote[2601].end 13319.35034375
transcript.pyannote[2602].speaker SPEAKER_17
transcript.pyannote[2602].start 13320.19409375
transcript.pyannote[2602].end 13327.51784375
transcript.pyannote[2603].speaker SPEAKER_17
transcript.pyannote[2603].start 13327.82159375
transcript.pyannote[2603].end 13332.04034375
transcript.pyannote[2604].speaker SPEAKER_17
transcript.pyannote[2604].start 13332.36096875
transcript.pyannote[2604].end 13333.10346875
transcript.pyannote[2605].speaker SPEAKER_17
transcript.pyannote[2605].start 13333.44096875
transcript.pyannote[2605].end 13339.76909375
transcript.pyannote[2606].speaker SPEAKER_17
transcript.pyannote[2606].start 13340.03909375
transcript.pyannote[2606].end 13340.34284375
transcript.pyannote[2607].speaker SPEAKER_17
transcript.pyannote[2607].start 13340.79846875
transcript.pyannote[2607].end 13347.29534375
transcript.pyannote[2608].speaker SPEAKER_17
transcript.pyannote[2608].start 13347.66659375
transcript.pyannote[2608].end 13348.29096875
transcript.pyannote[2609].speaker SPEAKER_17
transcript.pyannote[2609].start 13348.72971875
transcript.pyannote[2609].end 13351.02471875
transcript.pyannote[2610].speaker SPEAKER_17
transcript.pyannote[2610].start 13351.39596875
transcript.pyannote[2610].end 13355.58096875
transcript.pyannote[2611].speaker SPEAKER_17
transcript.pyannote[2611].start 13356.34034375
transcript.pyannote[2611].end 13362.61784375
transcript.pyannote[2612].speaker SPEAKER_17
transcript.pyannote[2612].start 13362.80346875
transcript.pyannote[2612].end 13365.90846875
transcript.pyannote[2613].speaker SPEAKER_17
transcript.pyannote[2613].start 13366.48221875
transcript.pyannote[2613].end 13368.69284375
transcript.pyannote[2614].speaker SPEAKER_17
transcript.pyannote[2614].start 13369.41846875
transcript.pyannote[2614].end 13374.27846875
transcript.pyannote[2615].speaker SPEAKER_17
transcript.pyannote[2615].start 13375.30784375
transcript.pyannote[2615].end 13376.72534375
transcript.pyannote[2616].speaker SPEAKER_17
transcript.pyannote[2616].start 13377.09659375
transcript.pyannote[2616].end 13384.72409375
transcript.pyannote[2617].speaker SPEAKER_17
transcript.pyannote[2617].start 13384.80846875
transcript.pyannote[2617].end 13396.50284375
transcript.pyannote[2618].speaker SPEAKER_17
transcript.pyannote[2618].start 13396.70534375
transcript.pyannote[2618].end 13406.42534375
transcript.pyannote[2619].speaker SPEAKER_17
transcript.pyannote[2619].start 13406.67846875
transcript.pyannote[2619].end 13413.37784375
transcript.pyannote[2620].speaker SPEAKER_18
transcript.pyannote[2620].start 13413.91784375
transcript.pyannote[2620].end 13421.76471875
transcript.pyannote[2621].speaker SPEAKER_17
transcript.pyannote[2621].start 13419.38534375
transcript.pyannote[2621].end 13419.97596875
transcript.pyannote[2622].speaker SPEAKER_18
transcript.pyannote[2622].start 13422.15284375
transcript.pyannote[2622].end 13470.93846875
transcript.pyannote[2623].speaker SPEAKER_07
transcript.pyannote[2623].start 13427.90721875
transcript.pyannote[2623].end 13428.97034375
transcript.pyannote[2624].speaker SPEAKER_17
transcript.pyannote[2624].start 13428.97034375
transcript.pyannote[2624].end 13430.91096875
transcript.pyannote[2625].speaker SPEAKER_17
transcript.pyannote[2625].start 13433.71221875
transcript.pyannote[2625].end 13434.48846875
transcript.pyannote[2626].speaker SPEAKER_17
transcript.pyannote[2626].start 13463.61471875
transcript.pyannote[2626].end 13464.10409375
transcript.pyannote[2627].speaker SPEAKER_17
transcript.pyannote[2627].start 13466.58471875
transcript.pyannote[2627].end 13466.70284375
transcript.pyannote[2628].speaker SPEAKER_17
transcript.pyannote[2628].start 13466.71971875
transcript.pyannote[2628].end 13466.75346875
transcript.pyannote[2629].speaker SPEAKER_17
transcript.pyannote[2629].start 13469.75721875
transcript.pyannote[2629].end 13481.55284375
transcript.pyannote[2630].speaker SPEAKER_18
transcript.pyannote[2630].start 13481.72159375
transcript.pyannote[2630].end 13482.75096875
transcript.pyannote[2631].speaker SPEAKER_17
transcript.pyannote[2631].start 13481.75534375
transcript.pyannote[2631].end 13484.42159375
transcript.pyannote[2632].speaker SPEAKER_18
transcript.pyannote[2632].start 13482.95346875
transcript.pyannote[2632].end 13496.80784375
transcript.pyannote[2633].speaker SPEAKER_17
transcript.pyannote[2633].start 13484.47221875
transcript.pyannote[2633].end 13484.72534375
transcript.pyannote[2634].speaker SPEAKER_17
transcript.pyannote[2634].start 13493.87159375
transcript.pyannote[2634].end 13494.52971875
transcript.pyannote[2635].speaker SPEAKER_18
transcript.pyannote[2635].start 13497.33096875
transcript.pyannote[2635].end 13499.25471875
transcript.pyannote[2636].speaker SPEAKER_18
transcript.pyannote[2636].start 13500.14909375
transcript.pyannote[2636].end 13501.00971875
transcript.pyannote[2637].speaker SPEAKER_17
transcript.pyannote[2637].start 13501.00971875
transcript.pyannote[2637].end 13507.33784375
transcript.pyannote[2638].speaker SPEAKER_18
transcript.pyannote[2638].start 13501.02659375
transcript.pyannote[2638].end 13501.07721875
transcript.pyannote[2639].speaker SPEAKER_17
transcript.pyannote[2639].start 13507.72596875
transcript.pyannote[2639].end 13510.69596875
transcript.pyannote[2640].speaker SPEAKER_07
transcript.pyannote[2640].start 13510.84784375
transcript.pyannote[2640].end 13511.37096875
transcript.pyannote[2641].speaker SPEAKER_17
transcript.pyannote[2641].start 13511.10096875
transcript.pyannote[2641].end 13512.28221875
transcript.pyannote[2642].speaker SPEAKER_17
transcript.pyannote[2642].start 13512.72096875
transcript.pyannote[2642].end 13520.07846875
transcript.pyannote[2643].speaker SPEAKER_17
transcript.pyannote[2643].start 13520.23034375
transcript.pyannote[2643].end 13527.06471875
transcript.pyannote[2644].speaker SPEAKER_17
transcript.pyannote[2644].start 13527.31784375
transcript.pyannote[2644].end 13537.74659375
transcript.pyannote[2645].speaker SPEAKER_18
transcript.pyannote[2645].start 13534.03409375
transcript.pyannote[2645].end 13534.20284375
transcript.pyannote[2646].speaker SPEAKER_18
transcript.pyannote[2646].start 13536.80159375
transcript.pyannote[2646].end 13550.03159375
transcript.pyannote[2647].speaker SPEAKER_17
transcript.pyannote[2647].start 13540.09221875
transcript.pyannote[2647].end 13540.64909375
transcript.pyannote[2648].speaker SPEAKER_17
transcript.pyannote[2648].start 13541.44221875
transcript.pyannote[2648].end 13542.84284375
transcript.pyannote[2649].speaker SPEAKER_17
transcript.pyannote[2649].start 13550.03159375
transcript.pyannote[2649].end 13550.25096875
transcript.pyannote[2650].speaker SPEAKER_17
transcript.pyannote[2650].start 13550.62221875
transcript.pyannote[2650].end 13553.00159375
transcript.pyannote[2651].speaker SPEAKER_18
transcript.pyannote[2651].start 13551.43221875
transcript.pyannote[2651].end 13551.44909375
transcript.pyannote[2652].speaker SPEAKER_13
transcript.pyannote[2652].start 13551.44909375
transcript.pyannote[2652].end 13551.92159375
transcript.pyannote[2653].speaker SPEAKER_18
transcript.pyannote[2653].start 13551.92159375
transcript.pyannote[2653].end 13551.97221875
transcript.pyannote[2654].speaker SPEAKER_13
transcript.pyannote[2654].start 13554.06471875
transcript.pyannote[2654].end 13557.20346875
transcript.pyannote[2655].speaker SPEAKER_13
transcript.pyannote[2655].start 13563.46409375
transcript.pyannote[2655].end 13570.36596875
transcript.pyannote[2656].speaker SPEAKER_13
transcript.pyannote[2656].start 13572.32346875
transcript.pyannote[2656].end 13578.55034375
transcript.pyannote[2657].speaker SPEAKER_13
transcript.pyannote[2657].start 13579.46159375
transcript.pyannote[2657].end 13582.31346875
transcript.pyannote[2658].speaker SPEAKER_11
transcript.pyannote[2658].start 13587.96659375
transcript.pyannote[2658].end 13588.40534375
transcript.pyannote[2659].speaker SPEAKER_11
transcript.pyannote[2659].start 13588.65846875
transcript.pyannote[2659].end 13591.74659375
transcript.pyannote[2660].speaker SPEAKER_11
transcript.pyannote[2660].start 13591.98284375
transcript.pyannote[2660].end 13592.03346875
transcript.pyannote[2661].speaker SPEAKER_11
transcript.pyannote[2661].start 13592.06721875
transcript.pyannote[2661].end 13594.24409375
transcript.pyannote[2662].speaker SPEAKER_11
transcript.pyannote[2662].start 13594.68284375
transcript.pyannote[2662].end 13605.97221875
transcript.pyannote[2663].speaker SPEAKER_08
transcript.pyannote[2663].start 13605.97221875
transcript.pyannote[2663].end 13612.68846875
transcript.pyannote[2664].speaker SPEAKER_08
transcript.pyannote[2664].start 13637.93346875
transcript.pyannote[2664].end 13640.27909375
transcript.pyannote[2665].speaker SPEAKER_08
transcript.pyannote[2665].start 13640.73471875
transcript.pyannote[2665].end 13644.39659375
transcript.pyannote[2666].speaker SPEAKER_07
transcript.pyannote[2666].start 13644.39659375
transcript.pyannote[2666].end 13644.53159375
transcript.pyannote[2667].speaker SPEAKER_07
transcript.pyannote[2667].start 13644.98721875
transcript.pyannote[2667].end 13645.05471875
transcript.pyannote[2668].speaker SPEAKER_24
transcript.pyannote[2668].start 13645.05471875
transcript.pyannote[2668].end 13645.07159375
transcript.pyannote[2669].speaker SPEAKER_08
transcript.pyannote[2669].start 13645.07159375
transcript.pyannote[2669].end 13645.10534375
transcript.pyannote[2670].speaker SPEAKER_24
transcript.pyannote[2670].start 13645.10534375
transcript.pyannote[2670].end 13645.78034375
transcript.pyannote[2671].speaker SPEAKER_08
transcript.pyannote[2671].start 13645.78034375
transcript.pyannote[2671].end 13645.83096875
transcript.pyannote[2672].speaker SPEAKER_24
transcript.pyannote[2672].start 13645.83096875
transcript.pyannote[2672].end 13646.21909375
transcript.pyannote[2673].speaker SPEAKER_08
transcript.pyannote[2673].start 13646.21909375
transcript.pyannote[2673].end 13650.30284375
transcript.pyannote[2674].speaker SPEAKER_24
transcript.pyannote[2674].start 13646.23596875
transcript.pyannote[2674].end 13651.97346875
transcript.pyannote[2675].speaker SPEAKER_20
transcript.pyannote[2675].start 13651.97346875
transcript.pyannote[2675].end 13655.02784375
transcript.pyannote[2676].speaker SPEAKER_08
transcript.pyannote[2676].start 13655.02784375
transcript.pyannote[2676].end 13655.71971875
transcript.pyannote[2677].speaker SPEAKER_20
transcript.pyannote[2677].start 13655.71971875
transcript.pyannote[2677].end 13656.44534375
transcript.pyannote[2678].speaker SPEAKER_20
transcript.pyannote[2678].start 13656.90096875
transcript.pyannote[2678].end 13656.93471875
transcript.pyannote[2679].speaker SPEAKER_08
transcript.pyannote[2679].start 13656.93471875
transcript.pyannote[2679].end 13656.96846875
transcript.pyannote[2680].speaker SPEAKER_20
transcript.pyannote[2680].start 13656.96846875
transcript.pyannote[2680].end 13658.97659375
transcript.pyannote[2681].speaker SPEAKER_08
transcript.pyannote[2681].start 13658.97659375
transcript.pyannote[2681].end 13659.02721875
transcript.pyannote[2682].speaker SPEAKER_11
transcript.pyannote[2682].start 13671.63284375
transcript.pyannote[2682].end 13672.10534375
transcript.pyannote[2683].speaker SPEAKER_24
transcript.pyannote[2683].start 13673.10096875
transcript.pyannote[2683].end 13674.02909375
transcript.pyannote[2684].speaker SPEAKER_11
transcript.pyannote[2684].start 13675.34534375
transcript.pyannote[2684].end 13676.79659375
transcript.pyannote[2685].speaker SPEAKER_11
transcript.pyannote[2685].start 13676.96534375
transcript.pyannote[2685].end 13677.03284375
transcript.pyannote[2686].speaker SPEAKER_24
transcript.pyannote[2686].start 13677.03284375
transcript.pyannote[2686].end 13677.21846875
transcript.pyannote[2687].speaker SPEAKER_24
transcript.pyannote[2687].start 13677.74159375
transcript.pyannote[2687].end 13679.31096875
transcript.pyannote[2688].speaker SPEAKER_08
transcript.pyannote[2688].start 13682.97284375
transcript.pyannote[2688].end 13684.76159375
transcript.pyannote[2689].speaker SPEAKER_24
transcript.pyannote[2689].start 13685.65596875
transcript.pyannote[2689].end 13686.85409375
transcript.pyannote[2690].speaker SPEAKER_08
transcript.pyannote[2690].start 13686.85409375
transcript.pyannote[2690].end 13687.73159375
transcript.pyannote[2691].speaker SPEAKER_08
transcript.pyannote[2691].start 13688.10284375
transcript.pyannote[2691].end 13688.23784375
transcript.pyannote[2692].speaker SPEAKER_24
transcript.pyannote[2692].start 13690.44846875
transcript.pyannote[2692].end 13698.12659375
transcript.pyannote[2693].speaker SPEAKER_24
transcript.pyannote[2693].start 13699.44284375
transcript.pyannote[2693].end 13700.47221875
transcript.pyannote[2694].speaker SPEAKER_24
transcript.pyannote[2694].start 13700.91096875
transcript.pyannote[2694].end 13703.03721875
transcript.pyannote[2695].speaker SPEAKER_24
transcript.pyannote[2695].start 13703.88096875
transcript.pyannote[2695].end 13704.21846875
transcript.pyannote[2696].speaker SPEAKER_24
transcript.pyannote[2696].start 13704.65721875
transcript.pyannote[2696].end 13710.12471875
transcript.pyannote[2697].speaker SPEAKER_24
transcript.pyannote[2697].start 13715.17034375
transcript.pyannote[2697].end 13720.65471875
transcript.pyannote[2698].speaker SPEAKER_08
transcript.pyannote[2698].start 13718.88284375
transcript.pyannote[2698].end 13719.64221875
transcript.pyannote[2699].speaker SPEAKER_24
transcript.pyannote[2699].start 13721.51534375
transcript.pyannote[2699].end 13724.38409375
transcript.pyannote[2700].speaker SPEAKER_24
transcript.pyannote[2700].start 13724.75534375
transcript.pyannote[2700].end 13726.03784375
transcript.pyannote[2701].speaker SPEAKER_24
transcript.pyannote[2701].start 13726.17284375
transcript.pyannote[2701].end 13727.91096875
transcript.pyannote[2702].speaker SPEAKER_08
transcript.pyannote[2702].start 13763.80409375
transcript.pyannote[2702].end 13767.02721875
transcript.pyannote[2703].speaker SPEAKER_24
transcript.pyannote[2703].start 13767.02721875
transcript.pyannote[2703].end 13767.11159375
transcript.pyannote[2704].speaker SPEAKER_08
transcript.pyannote[2704].start 13767.11159375
transcript.pyannote[2704].end 13767.90471875
transcript.pyannote[2705].speaker SPEAKER_24
transcript.pyannote[2705].start 13767.90471875
transcript.pyannote[2705].end 13775.11034375
transcript.pyannote[2706].speaker SPEAKER_08
transcript.pyannote[2706].start 13768.39409375
transcript.pyannote[2706].end 13770.13221875
transcript.pyannote[2707].speaker SPEAKER_08
transcript.pyannote[2707].start 13770.55409375
transcript.pyannote[2707].end 13770.90846875
transcript.pyannote[2708].speaker SPEAKER_08
transcript.pyannote[2708].start 13770.94221875
transcript.pyannote[2708].end 13771.17846875
transcript.pyannote[2709].speaker SPEAKER_22
transcript.pyannote[2709].start 13773.69284375
transcript.pyannote[2709].end 13773.76034375
transcript.pyannote[2710].speaker SPEAKER_24
transcript.pyannote[2710].start 13775.48159375
transcript.pyannote[2710].end 13784.96534375
transcript.pyannote[2711].speaker SPEAKER_00
transcript.pyannote[2711].start 13777.64159375
transcript.pyannote[2711].end 13778.09721875
transcript.pyannote[2712].speaker SPEAKER_00
transcript.pyannote[2712].start 13784.05409375
transcript.pyannote[2712].end 13784.37471875
transcript.pyannote[2713].speaker SPEAKER_24
transcript.pyannote[2713].start 13785.70784375
transcript.pyannote[2713].end 13787.15909375
transcript.pyannote[2714].speaker SPEAKER_24
transcript.pyannote[2714].start 13815.96471875
transcript.pyannote[2714].end 13827.30471875
transcript.pyannote[2715].speaker SPEAKER_24
transcript.pyannote[2715].start 13827.42284375
transcript.pyannote[2715].end 13827.43971875
transcript.pyannote[2716].speaker SPEAKER_24
transcript.pyannote[2716].start 13827.54096875
transcript.pyannote[2716].end 13828.41846875
transcript.pyannote[2717].speaker SPEAKER_24
transcript.pyannote[2717].start 13829.75159375
transcript.pyannote[2717].end 13831.72596875
transcript.pyannote[2718].speaker SPEAKER_24
transcript.pyannote[2718].start 13833.34596875
transcript.pyannote[2718].end 13833.97034375
transcript.pyannote[2719].speaker SPEAKER_15
transcript.pyannote[2719].start 13833.97034375
transcript.pyannote[2719].end 13834.03784375
transcript.pyannote[2720].speaker SPEAKER_24
transcript.pyannote[2720].start 13834.03784375
transcript.pyannote[2720].end 13834.61159375
transcript.pyannote[2721].speaker SPEAKER_15
transcript.pyannote[2721].start 13834.61159375
transcript.pyannote[2721].end 13834.66221875
transcript.pyannote[2722].speaker SPEAKER_24
transcript.pyannote[2722].start 13834.66221875
transcript.pyannote[2722].end 13834.72971875
transcript.pyannote[2723].speaker SPEAKER_24
transcript.pyannote[2723].start 13835.94471875
transcript.pyannote[2723].end 13836.80534375
transcript.pyannote[2724].speaker SPEAKER_24
transcript.pyannote[2724].start 13838.40846875
transcript.pyannote[2724].end 13840.19721875
transcript.pyannote[2725].speaker SPEAKER_24
transcript.pyannote[2725].start 13840.87221875
transcript.pyannote[2725].end 13848.53346875
transcript.pyannote[2726].speaker SPEAKER_24
transcript.pyannote[2726].start 13848.76971875
transcript.pyannote[2726].end 13852.02659375
transcript.pyannote[2727].speaker SPEAKER_24
transcript.pyannote[2727].start 13852.24596875
transcript.pyannote[2727].end 13853.03909375
transcript.pyannote[2728].speaker SPEAKER_05
transcript.pyannote[2728].start 13861.96596875
transcript.pyannote[2728].end 13867.46721875
transcript.pyannote[2729].speaker SPEAKER_05
transcript.pyannote[2729].start 13869.69471875
transcript.pyannote[2729].end 13870.69034375
transcript.pyannote[2730].speaker SPEAKER_08
transcript.pyannote[2730].start 13870.69034375
transcript.pyannote[2730].end 13871.80409375
transcript.pyannote[2731].speaker SPEAKER_05
transcript.pyannote[2731].start 13871.80409375
transcript.pyannote[2731].end 13872.02346875
transcript.pyannote[2732].speaker SPEAKER_13
transcript.pyannote[2732].start 13890.87284375
transcript.pyannote[2732].end 13896.84659375
transcript.pyannote[2733].speaker SPEAKER_13
transcript.pyannote[2733].start 13897.28534375
transcript.pyannote[2733].end 13907.25846875
transcript.pyannote[2734].speaker SPEAKER_23
transcript.pyannote[2734].start 13914.70034375
transcript.pyannote[2734].end 13915.67909375
transcript.pyannote[2735].speaker SPEAKER_23
transcript.pyannote[2735].start 13915.88159375
transcript.pyannote[2735].end 13918.14284375
transcript.pyannote[2736].speaker SPEAKER_23
transcript.pyannote[2736].start 13918.44659375
transcript.pyannote[2736].end 13930.51221875
transcript.pyannote[2737].speaker SPEAKER_23
transcript.pyannote[2737].start 13930.84971875
transcript.pyannote[2737].end 13932.75659375
transcript.pyannote[2738].speaker SPEAKER_23
transcript.pyannote[2738].start 13933.36409375
transcript.pyannote[2738].end 13935.27096875
transcript.pyannote[2739].speaker SPEAKER_23
transcript.pyannote[2739].start 13936.09784375
transcript.pyannote[2739].end 13944.19784375
transcript.pyannote[2740].speaker SPEAKER_23
transcript.pyannote[2740].start 13945.26096875
transcript.pyannote[2740].end 13949.41221875
transcript.pyannote[2741].speaker SPEAKER_23
transcript.pyannote[2741].start 13950.84659375
transcript.pyannote[2741].end 13951.96034375
transcript.pyannote[2742].speaker SPEAKER_23
transcript.pyannote[2742].start 13952.50034375
transcript.pyannote[2742].end 13953.78284375
transcript.pyannote[2743].speaker SPEAKER_23
transcript.pyannote[2743].start 13953.90096875
transcript.pyannote[2743].end 13956.95534375
transcript.pyannote[2744].speaker SPEAKER_23
transcript.pyannote[2744].start 13957.73159375
transcript.pyannote[2744].end 13958.99721875
transcript.pyannote[2745].speaker SPEAKER_23
transcript.pyannote[2745].start 13959.85784375
transcript.pyannote[2745].end 13960.70159375
transcript.pyannote[2746].speaker SPEAKER_23
transcript.pyannote[2746].start 13961.10659375
transcript.pyannote[2746].end 13961.78159375
transcript.pyannote[2747].speaker SPEAKER_23
transcript.pyannote[2747].start 13962.27096875
transcript.pyannote[2747].end 13962.69284375
transcript.pyannote[2748].speaker SPEAKER_23
transcript.pyannote[2748].start 13963.01346875
transcript.pyannote[2748].end 13965.13971875
transcript.pyannote[2749].speaker SPEAKER_23
transcript.pyannote[2749].start 13965.89909375
transcript.pyannote[2749].end 13967.08034375
transcript.pyannote[2750].speaker SPEAKER_23
transcript.pyannote[2750].start 13967.29971875
transcript.pyannote[2750].end 13969.29096875
transcript.pyannote[2751].speaker SPEAKER_23
transcript.pyannote[2751].start 13970.15159375
transcript.pyannote[2751].end 13972.75034375
transcript.pyannote[2752].speaker SPEAKER_23
transcript.pyannote[2752].start 13973.39159375
transcript.pyannote[2752].end 13974.08346875
transcript.pyannote[2753].speaker SPEAKER_23
transcript.pyannote[2753].start 13975.73721875
transcript.pyannote[2753].end 13976.76659375
transcript.pyannote[2754].speaker SPEAKER_23
transcript.pyannote[2754].start 13977.69471875
transcript.pyannote[2754].end 13978.03221875
transcript.pyannote[2755].speaker SPEAKER_23
transcript.pyannote[2755].start 13978.48784375
transcript.pyannote[2755].end 13979.73659375
transcript.pyannote[2756].speaker SPEAKER_23
transcript.pyannote[2756].start 13980.68159375
transcript.pyannote[2756].end 13982.16659375
transcript.pyannote[2757].speaker SPEAKER_23
transcript.pyannote[2757].start 13982.99346875
transcript.pyannote[2757].end 13986.21659375
transcript.pyannote[2758].speaker SPEAKER_23
transcript.pyannote[2758].start 13987.61721875
transcript.pyannote[2758].end 13990.38471875
transcript.pyannote[2759].speaker SPEAKER_23
transcript.pyannote[2759].start 13991.04284375
transcript.pyannote[2759].end 13993.33784375
transcript.pyannote[2760].speaker SPEAKER_23
transcript.pyannote[2760].start 13993.91159375
transcript.pyannote[2760].end 13994.82284375
transcript.pyannote[2761].speaker SPEAKER_23
transcript.pyannote[2761].start 13995.07596875
transcript.pyannote[2761].end 13996.02096875
transcript.pyannote[2762].speaker SPEAKER_23
transcript.pyannote[2762].start 13996.17284375
transcript.pyannote[2762].end 13997.01659375
transcript.pyannote[2763].speaker SPEAKER_23
transcript.pyannote[2763].start 13997.91096875
transcript.pyannote[2763].end 14000.08784375
transcript.pyannote[2764].speaker SPEAKER_23
transcript.pyannote[2764].start 14000.32409375
transcript.pyannote[2764].end 14000.89784375
transcript.pyannote[2765].speaker SPEAKER_23
transcript.pyannote[2765].start 14001.23534375
transcript.pyannote[2765].end 14001.77534375
transcript.pyannote[2766].speaker SPEAKER_23
transcript.pyannote[2766].start 14002.23096875
transcript.pyannote[2766].end 14002.73721875
transcript.pyannote[2767].speaker SPEAKER_23
transcript.pyannote[2767].start 14003.66534375
transcript.pyannote[2767].end 14006.06159375
transcript.pyannote[2768].speaker SPEAKER_23
transcript.pyannote[2768].start 14006.82096875
transcript.pyannote[2768].end 14008.15409375
transcript.pyannote[2769].speaker SPEAKER_23
transcript.pyannote[2769].start 14008.81221875
transcript.pyannote[2769].end 14009.63909375
transcript.pyannote[2770].speaker SPEAKER_23
transcript.pyannote[2770].start 14010.43221875
transcript.pyannote[2770].end 14011.30971875
transcript.pyannote[2771].speaker SPEAKER_23
transcript.pyannote[2771].start 14012.13659375
transcript.pyannote[2771].end 14014.11096875
transcript.pyannote[2772].speaker SPEAKER_23
transcript.pyannote[2772].start 14014.97159375
transcript.pyannote[2772].end 14015.61284375
transcript.pyannote[2773].speaker SPEAKER_23
transcript.pyannote[2773].start 14015.64659375
transcript.pyannote[2773].end 14016.57471875
transcript.pyannote[2774].speaker SPEAKER_23
transcript.pyannote[2774].start 14016.72659375
transcript.pyannote[2774].end 14018.81909375
transcript.pyannote[2775].speaker SPEAKER_23
transcript.pyannote[2775].start 14019.59534375
transcript.pyannote[2775].end 14020.32096875
transcript.pyannote[2776].speaker SPEAKER_23
transcript.pyannote[2776].start 14020.42221875
transcript.pyannote[2776].end 14021.13096875
transcript.pyannote[2777].speaker SPEAKER_13
transcript.pyannote[2777].start 14023.42596875
transcript.pyannote[2777].end 14025.85596875
transcript.pyannote[2778].speaker SPEAKER_13
transcript.pyannote[2778].start 14026.53096875
transcript.pyannote[2778].end 14029.83846875
transcript.pyannote[2779].speaker SPEAKER_13
transcript.pyannote[2779].start 14030.41221875
transcript.pyannote[2779].end 14043.87846875
transcript.pyannote[2780].speaker SPEAKER_13
transcript.pyannote[2780].start 14048.97471875
transcript.pyannote[2780].end 14049.78471875
transcript.pyannote[2781].speaker SPEAKER_13
transcript.pyannote[2781].start 14050.12221875
transcript.pyannote[2781].end 14057.56409375
transcript.pyannote[2782].speaker SPEAKER_11
transcript.pyannote[2782].start 14057.98596875
transcript.pyannote[2782].end 14059.06596875
transcript.pyannote[2783].speaker SPEAKER_13
transcript.pyannote[2783].start 14058.03659375
transcript.pyannote[2783].end 14060.02784375
transcript.pyannote[2784].speaker SPEAKER_20
transcript.pyannote[2784].start 14059.06596875
transcript.pyannote[2784].end 14059.18409375
transcript.pyannote[2785].speaker SPEAKER_11
transcript.pyannote[2785].start 14060.02784375
transcript.pyannote[2785].end 14060.17971875
transcript.pyannote[2786].speaker SPEAKER_08
transcript.pyannote[2786].start 14060.17971875
transcript.pyannote[2786].end 14060.24721875
transcript.pyannote[2787].speaker SPEAKER_08
transcript.pyannote[2787].start 14061.27659375
transcript.pyannote[2787].end 14061.51284375
transcript.pyannote[2788].speaker SPEAKER_11
transcript.pyannote[2788].start 14061.51284375
transcript.pyannote[2788].end 14061.56346875
transcript.pyannote[2789].speaker SPEAKER_08
transcript.pyannote[2789].start 14061.56346875
transcript.pyannote[2789].end 14061.64784375
transcript.pyannote[2790].speaker SPEAKER_11
transcript.pyannote[2790].start 14061.64784375
transcript.pyannote[2790].end 14061.66471875
transcript.pyannote[2791].speaker SPEAKER_08
transcript.pyannote[2791].start 14061.66471875
transcript.pyannote[2791].end 14062.10346875
transcript.pyannote[2792].speaker SPEAKER_11
transcript.pyannote[2792].start 14062.10346875
transcript.pyannote[2792].end 14062.52534375
transcript.pyannote[2793].speaker SPEAKER_08
transcript.pyannote[2793].start 14062.52534375
transcript.pyannote[2793].end 14062.98096875
transcript.pyannote[2794].speaker SPEAKER_20
transcript.pyannote[2794].start 14063.45346875
transcript.pyannote[2794].end 14065.96784375
transcript.pyannote[2795].speaker SPEAKER_11
transcript.pyannote[2795].start 14065.96784375
transcript.pyannote[2795].end 14069.27534375
transcript.pyannote[2796].speaker SPEAKER_08
transcript.pyannote[2796].start 14066.47409375
transcript.pyannote[2796].end 14067.13221875
transcript.pyannote[2797].speaker SPEAKER_20
transcript.pyannote[2797].start 14067.13221875
transcript.pyannote[2797].end 14068.14471875
transcript.pyannote[2798].speaker SPEAKER_08
transcript.pyannote[2798].start 14068.14471875
transcript.pyannote[2798].end 14068.19534375
transcript.pyannote[2799].speaker SPEAKER_20
transcript.pyannote[2799].start 14068.19534375
transcript.pyannote[2799].end 14068.60034375
transcript.pyannote[2800].speaker SPEAKER_11
transcript.pyannote[2800].start 14070.77721875
transcript.pyannote[2800].end 14072.02596875
transcript.pyannote[2801].speaker SPEAKER_11
transcript.pyannote[2801].start 14072.05971875
transcript.pyannote[2801].end 14072.75159375
transcript.pyannote[2802].speaker SPEAKER_11
transcript.pyannote[2802].start 14072.93721875
transcript.pyannote[2802].end 14074.92846875
transcript.pyannote[2803].speaker SPEAKER_11
transcript.pyannote[2803].start 14075.87346875
transcript.pyannote[2803].end 14076.02534375
transcript.pyannote[2804].speaker SPEAKER_11
transcript.pyannote[2804].start 14076.05909375
transcript.pyannote[2804].end 14077.44284375
transcript.pyannote[2805].speaker SPEAKER_11
transcript.pyannote[2805].start 14077.59471875
transcript.pyannote[2805].end 14077.62846875
transcript.pyannote[2806].speaker SPEAKER_11
transcript.pyannote[2806].start 14079.58596875
transcript.pyannote[2806].end 14079.67034375
transcript.pyannote[2807].speaker SPEAKER_11
transcript.pyannote[2807].start 14081.64471875
transcript.pyannote[2807].end 14082.72471875
transcript.pyannote[2808].speaker SPEAKER_11
transcript.pyannote[2808].start 14083.36596875
transcript.pyannote[2808].end 14083.73721875
transcript.pyannote[2809].speaker SPEAKER_28
transcript.pyannote[2809].start 14083.73721875
transcript.pyannote[2809].end 14084.53034375
transcript.pyannote[2810].speaker SPEAKER_12
transcript.pyannote[2810].start 14084.53034375
transcript.pyannote[2810].end 14084.54721875
transcript.pyannote[2811].speaker SPEAKER_11
transcript.pyannote[2811].start 14084.93534375
transcript.pyannote[2811].end 14085.54284375
transcript.pyannote[2812].speaker SPEAKER_11
transcript.pyannote[2812].start 14147.00159375
transcript.pyannote[2812].end 14147.50784375
transcript.pyannote[2813].speaker SPEAKER_11
transcript.pyannote[2813].start 14149.97159375
transcript.pyannote[2813].end 14150.17409375
transcript.pyannote[2814].speaker SPEAKER_13
transcript.pyannote[2814].start 14171.18346875
transcript.pyannote[2814].end 14175.95909375
transcript.pyannote[2815].speaker SPEAKER_13
transcript.pyannote[2815].start 14176.19534375
transcript.pyannote[2815].end 14178.28784375
transcript.pyannote[2816].speaker SPEAKER_13
transcript.pyannote[2816].start 14178.50721875
transcript.pyannote[2816].end 14181.13971875
transcript.pyannote[2817].speaker SPEAKER_13
transcript.pyannote[2817].start 14181.17346875
transcript.pyannote[2817].end 14187.95721875
transcript.pyannote[2818].speaker SPEAKER_25
transcript.pyannote[2818].start 14194.96034375
transcript.pyannote[2818].end 14195.24721875
transcript.pyannote[2819].speaker SPEAKER_25
transcript.pyannote[2819].start 14195.92221875
transcript.pyannote[2819].end 14196.83346875
transcript.pyannote[2820].speaker SPEAKER_25
transcript.pyannote[2820].start 14196.86721875
transcript.pyannote[2820].end 14196.91784375
transcript.pyannote[2821].speaker SPEAKER_13
transcript.pyannote[2821].start 14196.91784375
transcript.pyannote[2821].end 14197.15409375
transcript.pyannote[2822].speaker SPEAKER_25
transcript.pyannote[2822].start 14197.15409375
transcript.pyannote[2822].end 14198.87534375
transcript.pyannote[2823].speaker SPEAKER_25
transcript.pyannote[2823].start 14199.34784375
transcript.pyannote[2823].end 14201.10284375
transcript.pyannote[2824].speaker SPEAKER_25
transcript.pyannote[2824].start 14201.50784375
transcript.pyannote[2824].end 14203.66784375
transcript.pyannote[2825].speaker SPEAKER_25
transcript.pyannote[2825].start 14203.83659375
transcript.pyannote[2825].end 14205.64221875
transcript.pyannote[2826].speaker SPEAKER_25
transcript.pyannote[2826].start 14205.87846875
transcript.pyannote[2826].end 14212.71284375
transcript.pyannote[2827].speaker SPEAKER_25
transcript.pyannote[2827].start 14213.13471875
transcript.pyannote[2827].end 14216.27346875
transcript.pyannote[2828].speaker SPEAKER_25
transcript.pyannote[2828].start 14216.44221875
transcript.pyannote[2828].end 14229.58784375
transcript.pyannote[2829].speaker SPEAKER_25
transcript.pyannote[2829].start 14229.97596875
transcript.pyannote[2829].end 14231.98409375
transcript.pyannote[2830].speaker SPEAKER_25
transcript.pyannote[2830].start 14232.35534375
transcript.pyannote[2830].end 14234.04284375
transcript.pyannote[2831].speaker SPEAKER_25
transcript.pyannote[2831].start 14234.34659375
transcript.pyannote[2831].end 14236.18596875
transcript.pyannote[2832].speaker SPEAKER_25
transcript.pyannote[2832].start 14236.79346875
transcript.pyannote[2832].end 14237.89034375
transcript.pyannote[2833].speaker SPEAKER_25
transcript.pyannote[2833].start 14238.91971875
transcript.pyannote[2833].end 14241.09659375
transcript.pyannote[2834].speaker SPEAKER_25
transcript.pyannote[2834].start 14241.67034375
transcript.pyannote[2834].end 14243.96534375
transcript.pyannote[2835].speaker SPEAKER_25
transcript.pyannote[2835].start 14244.21846875
transcript.pyannote[2835].end 14245.87221875
transcript.pyannote[2836].speaker SPEAKER_25
transcript.pyannote[2836].start 14246.17596875
transcript.pyannote[2836].end 14249.02784375
transcript.pyannote[2837].speaker SPEAKER_25
transcript.pyannote[2837].start 14249.33159375
transcript.pyannote[2837].end 14252.60534375
transcript.pyannote[2838].speaker SPEAKER_25
transcript.pyannote[2838].start 14253.02721875
transcript.pyannote[2838].end 14263.28721875
transcript.pyannote[2839].speaker SPEAKER_25
transcript.pyannote[2839].start 14263.77659375
transcript.pyannote[2839].end 14264.92409375
transcript.pyannote[2840].speaker SPEAKER_25
transcript.pyannote[2840].start 14265.49784375
transcript.pyannote[2840].end 14267.08409375
transcript.pyannote[2841].speaker SPEAKER_25
transcript.pyannote[2841].start 14267.20221875
transcript.pyannote[2841].end 14269.85159375
transcript.pyannote[2842].speaker SPEAKER_25
transcript.pyannote[2842].start 14270.49284375
transcript.pyannote[2842].end 14273.86784375
transcript.pyannote[2843].speaker SPEAKER_25
transcript.pyannote[2843].start 14274.27284375
transcript.pyannote[2843].end 14275.03221875
transcript.pyannote[2844].speaker SPEAKER_25
transcript.pyannote[2844].start 14275.38659375
transcript.pyannote[2844].end 14276.36534375
transcript.pyannote[2845].speaker SPEAKER_25
transcript.pyannote[2845].start 14276.75346875
transcript.pyannote[2845].end 14277.98534375
transcript.pyannote[2846].speaker SPEAKER_25
transcript.pyannote[2846].start 14278.20471875
transcript.pyannote[2846].end 14280.16221875
transcript.pyannote[2847].speaker SPEAKER_25
transcript.pyannote[2847].start 14280.70221875
transcript.pyannote[2847].end 14284.44846875
transcript.pyannote[2848].speaker SPEAKER_25
transcript.pyannote[2848].start 14284.87034375
transcript.pyannote[2848].end 14286.25409375
transcript.pyannote[2849].speaker SPEAKER_25
transcript.pyannote[2849].start 14286.49034375
transcript.pyannote[2849].end 14286.91221875
transcript.pyannote[2850].speaker SPEAKER_25
transcript.pyannote[2850].start 14287.31721875
transcript.pyannote[2850].end 14288.68409375
transcript.pyannote[2851].speaker SPEAKER_25
transcript.pyannote[2851].start 14289.19034375
transcript.pyannote[2851].end 14296.81784375
transcript.pyannote[2852].speaker SPEAKER_25
transcript.pyannote[2852].start 14297.35784375
transcript.pyannote[2852].end 14301.30659375
transcript.pyannote[2853].speaker SPEAKER_25
transcript.pyannote[2853].start 14301.69471875
transcript.pyannote[2853].end 14304.86721875
transcript.pyannote[2854].speaker SPEAKER_25
transcript.pyannote[2854].start 14305.39034375
transcript.pyannote[2854].end 14311.26284375
transcript.pyannote[2855].speaker SPEAKER_25
transcript.pyannote[2855].start 14311.48221875
transcript.pyannote[2855].end 14316.52784375
transcript.pyannote[2856].speaker SPEAKER_25
transcript.pyannote[2856].start 14317.01721875
transcript.pyannote[2856].end 14320.52721875
transcript.pyannote[2857].speaker SPEAKER_25
transcript.pyannote[2857].start 14321.11784375
transcript.pyannote[2857].end 14325.97784375
transcript.pyannote[2858].speaker SPEAKER_25
transcript.pyannote[2858].start 14326.29846875
transcript.pyannote[2858].end 14330.11221875
transcript.pyannote[2859].speaker SPEAKER_25
transcript.pyannote[2859].start 14330.63534375
transcript.pyannote[2859].end 14334.36471875
transcript.pyannote[2860].speaker SPEAKER_25
transcript.pyannote[2860].start 14334.71909375
transcript.pyannote[2860].end 14338.27971875
transcript.pyannote[2861].speaker SPEAKER_25
transcript.pyannote[2861].start 14338.66784375
transcript.pyannote[2861].end 14343.52784375
transcript.pyannote[2862].speaker SPEAKER_25
transcript.pyannote[2862].start 14344.01721875
transcript.pyannote[2862].end 14352.74159375
transcript.pyannote[2863].speaker SPEAKER_25
transcript.pyannote[2863].start 14352.84284375
transcript.pyannote[2863].end 14355.23909375
transcript.pyannote[2864].speaker SPEAKER_25
transcript.pyannote[2864].start 14355.67784375
transcript.pyannote[2864].end 14359.37346875
transcript.pyannote[2865].speaker SPEAKER_25
transcript.pyannote[2865].start 14360.26784375
transcript.pyannote[2865].end 14361.24659375
transcript.pyannote[2866].speaker SPEAKER_25
transcript.pyannote[2866].start 14361.76971875
transcript.pyannote[2866].end 14363.08596875
transcript.pyannote[2867].speaker SPEAKER_25
transcript.pyannote[2867].start 14363.38971875
transcript.pyannote[2867].end 14365.76909375
transcript.pyannote[2868].speaker SPEAKER_25
transcript.pyannote[2868].start 14366.17409375
transcript.pyannote[2868].end 14368.16534375
transcript.pyannote[2869].speaker SPEAKER_25
transcript.pyannote[2869].start 14368.60409375
transcript.pyannote[2869].end 14374.15596875
transcript.pyannote[2870].speaker SPEAKER_25
transcript.pyannote[2870].start 14374.51034375
transcript.pyannote[2870].end 14377.19346875
transcript.pyannote[2871].speaker SPEAKER_25
transcript.pyannote[2871].start 14377.59846875
transcript.pyannote[2871].end 14381.81721875
transcript.pyannote[2872].speaker SPEAKER_25
transcript.pyannote[2872].start 14382.07034375
transcript.pyannote[2872].end 14385.42846875
transcript.pyannote[2873].speaker SPEAKER_25
transcript.pyannote[2873].start 14385.78284375
transcript.pyannote[2873].end 14387.08221875
transcript.pyannote[2874].speaker SPEAKER_25
transcript.pyannote[2874].start 14387.74034375
transcript.pyannote[2874].end 14389.54596875
transcript.pyannote[2875].speaker SPEAKER_25
transcript.pyannote[2875].start 14389.86659375
transcript.pyannote[2875].end 14392.81971875
transcript.pyannote[2876].speaker SPEAKER_25
transcript.pyannote[2876].start 14393.15721875
transcript.pyannote[2876].end 14396.46471875
transcript.pyannote[2877].speaker SPEAKER_25
transcript.pyannote[2877].start 14396.81909375
transcript.pyannote[2877].end 14402.94471875
transcript.pyannote[2878].speaker SPEAKER_25
transcript.pyannote[2878].start 14403.48471875
transcript.pyannote[2878].end 14407.23096875
transcript.pyannote[2879].speaker SPEAKER_25
transcript.pyannote[2879].start 14407.34909375
transcript.pyannote[2879].end 14408.44596875
transcript.pyannote[2880].speaker SPEAKER_25
transcript.pyannote[2880].start 14409.27284375
transcript.pyannote[2880].end 14410.20096875
transcript.pyannote[2881].speaker SPEAKER_25
transcript.pyannote[2881].start 14410.63971875
transcript.pyannote[2881].end 14413.30596875
transcript.pyannote[2882].speaker SPEAKER_25
transcript.pyannote[2882].start 14413.77846875
transcript.pyannote[2882].end 14439.58034375
transcript.pyannote[2883].speaker SPEAKER_25
transcript.pyannote[2883].start 14439.79971875
transcript.pyannote[2883].end 14445.30096875
transcript.pyannote[2884].speaker SPEAKER_25
transcript.pyannote[2884].start 14445.55409375
transcript.pyannote[2884].end 14447.61284375
transcript.pyannote[2885].speaker SPEAKER_25
transcript.pyannote[2885].start 14447.84909375
transcript.pyannote[2885].end 14448.50721875
transcript.pyannote[2886].speaker SPEAKER_25
transcript.pyannote[2886].start 14448.77721875
transcript.pyannote[2886].end 14460.45471875
transcript.pyannote[2887].speaker SPEAKER_13
transcript.pyannote[2887].start 14462.02409375
transcript.pyannote[2887].end 14465.04471875
transcript.pyannote[2888].speaker SPEAKER_13
transcript.pyannote[2888].start 14466.12471875
transcript.pyannote[2888].end 14468.04846875
transcript.pyannote[2889].speaker SPEAKER_19
transcript.pyannote[2889].start 14477.43096875
transcript.pyannote[2889].end 14480.82284375
transcript.pyannote[2890].speaker SPEAKER_19
transcript.pyannote[2890].start 14481.14346875
transcript.pyannote[2890].end 14482.49346875
transcript.pyannote[2891].speaker SPEAKER_13
transcript.pyannote[2891].start 14482.49346875
transcript.pyannote[2891].end 14482.69596875
transcript.pyannote[2892].speaker SPEAKER_19
transcript.pyannote[2892].start 14482.69596875
transcript.pyannote[2892].end 14482.93221875
transcript.pyannote[2893].speaker SPEAKER_13
transcript.pyannote[2893].start 14482.93221875
transcript.pyannote[2893].end 14483.52284375
transcript.pyannote[2894].speaker SPEAKER_19
transcript.pyannote[2894].start 14483.52284375
transcript.pyannote[2894].end 14483.53971875
transcript.pyannote[2895].speaker SPEAKER_13
transcript.pyannote[2895].start 14483.53971875
transcript.pyannote[2895].end 14483.55659375
transcript.pyannote[2896].speaker SPEAKER_25
transcript.pyannote[2896].start 14486.17221875
transcript.pyannote[2896].end 14486.69534375
transcript.pyannote[2897].speaker SPEAKER_19
transcript.pyannote[2897].start 14487.60659375
transcript.pyannote[2897].end 14488.43346875
transcript.pyannote[2898].speaker SPEAKER_19
transcript.pyannote[2898].start 14488.77096875
transcript.pyannote[2898].end 14490.96471875
transcript.pyannote[2899].speaker SPEAKER_19
transcript.pyannote[2899].start 14491.80846875
transcript.pyannote[2899].end 14493.71534375
transcript.pyannote[2900].speaker SPEAKER_19
transcript.pyannote[2900].start 14496.02721875
transcript.pyannote[2900].end 14540.23971875
transcript.pyannote[2901].speaker SPEAKER_19
transcript.pyannote[2901].start 14540.45909375
transcript.pyannote[2901].end 14575.93034375
transcript.pyannote[2902].speaker SPEAKER_19
transcript.pyannote[2902].start 14576.14971875
transcript.pyannote[2902].end 14577.70221875
transcript.pyannote[2903].speaker SPEAKER_19
transcript.pyannote[2903].start 14578.30971875
transcript.pyannote[2903].end 14578.52909375
transcript.pyannote[2904].speaker SPEAKER_19
transcript.pyannote[2904].start 14579.08596875
transcript.pyannote[2904].end 14582.42721875
transcript.pyannote[2905].speaker SPEAKER_25
transcript.pyannote[2905].start 14583.35534375
transcript.pyannote[2905].end 14587.50659375
transcript.pyannote[2906].speaker SPEAKER_19
transcript.pyannote[2906].start 14583.55784375
transcript.pyannote[2906].end 14584.48596875
transcript.pyannote[2907].speaker SPEAKER_19
transcript.pyannote[2907].start 14587.38846875
transcript.pyannote[2907].end 14587.79346875
transcript.pyannote[2908].speaker SPEAKER_25
transcript.pyannote[2908].start 14587.54034375
transcript.pyannote[2908].end 14587.55721875
transcript.pyannote[2909].speaker SPEAKER_25
transcript.pyannote[2909].start 14587.57409375
transcript.pyannote[2909].end 14588.73846875
transcript.pyannote[2910].speaker SPEAKER_25
transcript.pyannote[2910].start 14588.99159375
transcript.pyannote[2910].end 14590.49346875
transcript.pyannote[2911].speaker SPEAKER_19
transcript.pyannote[2911].start 14589.66659375
transcript.pyannote[2911].end 14590.88159375
transcript.pyannote[2912].speaker SPEAKER_19
transcript.pyannote[2912].start 14590.96596875
transcript.pyannote[2912].end 14609.59596875
transcript.pyannote[2913].speaker SPEAKER_19
transcript.pyannote[2913].start 14609.88284375
transcript.pyannote[2913].end 14624.49659375
transcript.pyannote[2914].speaker SPEAKER_19
transcript.pyannote[2914].start 14625.18846875
transcript.pyannote[2914].end 14628.25971875
transcript.pyannote[2915].speaker SPEAKER_19
transcript.pyannote[2915].start 14629.33971875
transcript.pyannote[2915].end 14636.74784375
transcript.pyannote[2916].speaker SPEAKER_19
transcript.pyannote[2916].start 14637.38909375
transcript.pyannote[2916].end 14647.66596875
transcript.pyannote[2917].speaker SPEAKER_19
transcript.pyannote[2917].start 14647.81784375
transcript.pyannote[2917].end 14650.38284375
transcript.pyannote[2918].speaker SPEAKER_19
transcript.pyannote[2918].start 14650.73721875
transcript.pyannote[2918].end 14651.58096875
transcript.pyannote[2919].speaker SPEAKER_19
transcript.pyannote[2919].start 14652.30659375
transcript.pyannote[2919].end 14662.12784375
transcript.pyannote[2920].speaker SPEAKER_19
transcript.pyannote[2920].start 14662.41471875
transcript.pyannote[2920].end 14671.18971875
transcript.pyannote[2921].speaker SPEAKER_19
transcript.pyannote[2921].start 14671.93221875
transcript.pyannote[2921].end 14672.91096875
transcript.pyannote[2922].speaker SPEAKER_19
transcript.pyannote[2922].start 14673.18096875
transcript.pyannote[2922].end 14676.53909375
transcript.pyannote[2923].speaker SPEAKER_19
transcript.pyannote[2923].start 14676.70784375
transcript.pyannote[2923].end 14679.49221875
transcript.pyannote[2924].speaker SPEAKER_19
transcript.pyannote[2924].start 14680.03221875
transcript.pyannote[2924].end 14700.61971875
transcript.pyannote[2925].speaker SPEAKER_19
transcript.pyannote[2925].start 14700.87284375
transcript.pyannote[2925].end 14712.60096875
transcript.pyannote[2926].speaker SPEAKER_19
transcript.pyannote[2926].start 14712.68534375
transcript.pyannote[2926].end 14718.03471875
transcript.pyannote[2927].speaker SPEAKER_19
transcript.pyannote[2927].start 14718.10221875
transcript.pyannote[2927].end 14719.92471875
transcript.pyannote[2928].speaker SPEAKER_25
transcript.pyannote[2928].start 14721.08909375
transcript.pyannote[2928].end 14721.56159375
transcript.pyannote[2929].speaker SPEAKER_25
transcript.pyannote[2929].start 14721.89909375
transcript.pyannote[2929].end 14723.36721875
transcript.pyannote[2930].speaker SPEAKER_19
transcript.pyannote[2930].start 14723.28284375
transcript.pyannote[2930].end 14723.72159375
transcript.pyannote[2931].speaker SPEAKER_25
transcript.pyannote[2931].start 14723.72159375
transcript.pyannote[2931].end 14727.24846875
transcript.pyannote[2932].speaker SPEAKER_08
transcript.pyannote[2932].start 14723.73846875
transcript.pyannote[2932].end 14723.75534375
transcript.pyannote[2933].speaker SPEAKER_08
transcript.pyannote[2933].start 14725.66221875
transcript.pyannote[2933].end 14726.08409375
transcript.pyannote[2934].speaker SPEAKER_25
transcript.pyannote[2934].start 14727.38346875
transcript.pyannote[2934].end 14734.01534375
transcript.pyannote[2935].speaker SPEAKER_08
transcript.pyannote[2935].start 14730.28596875
transcript.pyannote[2935].end 14730.45471875
transcript.pyannote[2936].speaker SPEAKER_08
transcript.pyannote[2936].start 14730.48846875
transcript.pyannote[2936].end 14730.70784375
transcript.pyannote[2937].speaker SPEAKER_25
transcript.pyannote[2937].start 14734.48784375
transcript.pyannote[2937].end 14734.87596875
transcript.pyannote[2938].speaker SPEAKER_25
transcript.pyannote[2938].start 14735.19659375
transcript.pyannote[2938].end 14740.93409375
transcript.pyannote[2939].speaker SPEAKER_08
transcript.pyannote[2939].start 14736.02346875
transcript.pyannote[2939].end 14736.44534375
transcript.pyannote[2940].speaker SPEAKER_00
transcript.pyannote[2940].start 14736.44534375
transcript.pyannote[2940].end 14736.51284375
transcript.pyannote[2941].speaker SPEAKER_08
transcript.pyannote[2941].start 14737.13721875
transcript.pyannote[2941].end 14738.16659375
transcript.pyannote[2942].speaker SPEAKER_00
transcript.pyannote[2942].start 14738.16659375
transcript.pyannote[2942].end 14738.23409375
transcript.pyannote[2943].speaker SPEAKER_25
transcript.pyannote[2943].start 14741.28846875
transcript.pyannote[2943].end 14742.90846875
transcript.pyannote[2944].speaker SPEAKER_25
transcript.pyannote[2944].start 14742.99284375
transcript.pyannote[2944].end 14744.86596875
transcript.pyannote[2945].speaker SPEAKER_25
transcript.pyannote[2945].start 14745.30471875
transcript.pyannote[2945].end 14747.58284375
transcript.pyannote[2946].speaker SPEAKER_25
transcript.pyannote[2946].start 14747.63346875
transcript.pyannote[2946].end 14748.88221875
transcript.pyannote[2947].speaker SPEAKER_25
transcript.pyannote[2947].start 14749.08471875
transcript.pyannote[2947].end 14762.58471875
transcript.pyannote[2948].speaker SPEAKER_08
transcript.pyannote[2948].start 14749.11846875
transcript.pyannote[2948].end 14749.48971875
transcript.pyannote[2949].speaker SPEAKER_25
transcript.pyannote[2949].start 14763.05721875
transcript.pyannote[2949].end 14763.98534375
transcript.pyannote[2950].speaker SPEAKER_25
transcript.pyannote[2950].start 14764.52534375
transcript.pyannote[2950].end 14770.34721875
transcript.pyannote[2951].speaker SPEAKER_19
transcript.pyannote[2951].start 14771.27534375
transcript.pyannote[2951].end 14774.00909375
transcript.pyannote[2952].speaker SPEAKER_19
transcript.pyannote[2952].start 14774.21159375
transcript.pyannote[2952].end 14781.48471875
transcript.pyannote[2953].speaker SPEAKER_19
transcript.pyannote[2953].start 14781.73784375
transcript.pyannote[2953].end 14798.05596875
transcript.pyannote[2954].speaker SPEAKER_19
transcript.pyannote[2954].start 14798.34284375
transcript.pyannote[2954].end 14802.03846875
transcript.pyannote[2955].speaker SPEAKER_19
transcript.pyannote[2955].start 14802.20721875
transcript.pyannote[2955].end 14802.94971875
transcript.pyannote[2956].speaker SPEAKER_19
transcript.pyannote[2956].start 14803.50659375
transcript.pyannote[2956].end 14807.86034375
transcript.pyannote[2957].speaker SPEAKER_19
transcript.pyannote[2957].start 14808.28221875
transcript.pyannote[2957].end 14817.29346875
transcript.pyannote[2958].speaker SPEAKER_19
transcript.pyannote[2958].start 14817.69846875
transcript.pyannote[2958].end 14828.02596875
transcript.pyannote[2959].speaker SPEAKER_19
transcript.pyannote[2959].start 14828.71784375
transcript.pyannote[2959].end 14861.16846875
transcript.pyannote[2960].speaker SPEAKER_19
transcript.pyannote[2960].start 14861.89409375
transcript.pyannote[2960].end 14894.54721875
transcript.pyannote[2961].speaker SPEAKER_19
transcript.pyannote[2961].start 14895.39096875
transcript.pyannote[2961].end 14905.97159375
transcript.pyannote[2962].speaker SPEAKER_25
transcript.pyannote[2962].start 14906.71409375
transcript.pyannote[2962].end 14914.98284375
transcript.pyannote[2963].speaker SPEAKER_19
transcript.pyannote[2963].start 14912.85659375
transcript.pyannote[2963].end 14913.32909375
transcript.pyannote[2964].speaker SPEAKER_00
transcript.pyannote[2964].start 14913.32909375
transcript.pyannote[2964].end 14913.36284375
transcript.pyannote[2965].speaker SPEAKER_25
transcript.pyannote[2965].start 14915.48909375
transcript.pyannote[2965].end 14921.05784375
transcript.pyannote[2966].speaker SPEAKER_25
transcript.pyannote[2966].start 14921.39534375
transcript.pyannote[2966].end 14932.65096875
transcript.pyannote[2967].speaker SPEAKER_08
transcript.pyannote[2967].start 14927.80784375
transcript.pyannote[2967].end 14927.84159375
transcript.pyannote[2968].speaker SPEAKER_00
transcript.pyannote[2968].start 14928.55034375
transcript.pyannote[2968].end 14928.61784375
transcript.pyannote[2969].speaker SPEAKER_08
transcript.pyannote[2969].start 14928.61784375
transcript.pyannote[2969].end 14929.15784375
transcript.pyannote[2970].speaker SPEAKER_25
transcript.pyannote[2970].start 14932.76909375
transcript.pyannote[2970].end 14933.49471875
transcript.pyannote[2971].speaker SPEAKER_25
transcript.pyannote[2971].start 14933.57909375
transcript.pyannote[2971].end 14937.08909375
transcript.pyannote[2972].speaker SPEAKER_25
transcript.pyannote[2972].start 14937.47721875
transcript.pyannote[2972].end 14946.94409375
transcript.pyannote[2973].speaker SPEAKER_25
transcript.pyannote[2973].start 14947.04534375
transcript.pyannote[2973].end 14961.23721875
transcript.pyannote[2974].speaker SPEAKER_25
transcript.pyannote[2974].start 14961.28784375
transcript.pyannote[2974].end 14978.34846875
transcript.pyannote[2975].speaker SPEAKER_25
transcript.pyannote[2975].start 14978.61846875
transcript.pyannote[2975].end 14988.65909375
transcript.pyannote[2976].speaker SPEAKER_19
transcript.pyannote[2976].start 14988.96284375
transcript.pyannote[2976].end 14998.04159375
transcript.pyannote[2977].speaker SPEAKER_19
transcript.pyannote[2977].start 14998.61534375
transcript.pyannote[2977].end 15068.89971875
transcript.pyannote[2978].speaker SPEAKER_19
transcript.pyannote[2978].start 15068.96721875
transcript.pyannote[2978].end 15069.35534375
transcript.pyannote[2979].speaker SPEAKER_25
transcript.pyannote[2979].start 15069.89534375
transcript.pyannote[2979].end 15073.69221875
transcript.pyannote[2980].speaker SPEAKER_25
transcript.pyannote[2980].start 15074.36721875
transcript.pyannote[2980].end 15075.70034375
transcript.pyannote[2981].speaker SPEAKER_19
transcript.pyannote[2981].start 15074.40096875
transcript.pyannote[2981].end 15074.67096875
transcript.pyannote[2982].speaker SPEAKER_19
transcript.pyannote[2982].start 15075.70034375
transcript.pyannote[2982].end 15076.08846875
transcript.pyannote[2983].speaker SPEAKER_25
transcript.pyannote[2983].start 15076.47659375
transcript.pyannote[2983].end 15078.63659375
transcript.pyannote[2984].speaker SPEAKER_19
transcript.pyannote[2984].start 15078.72096875
transcript.pyannote[2984].end 15087.32721875
transcript.pyannote[2985].speaker SPEAKER_25
transcript.pyannote[2985].start 15087.64784375
transcript.pyannote[2985].end 15088.72784375
transcript.pyannote[2986].speaker SPEAKER_13
transcript.pyannote[2986].start 15089.55471875
transcript.pyannote[2986].end 15092.49096875
transcript.pyannote[2987].speaker SPEAKER_13
transcript.pyannote[2987].start 15096.50721875
transcript.pyannote[2987].end 15101.82284375
transcript.pyannote[2988].speaker SPEAKER_13
transcript.pyannote[2988].start 15102.22784375
transcript.pyannote[2988].end 15104.72534375
transcript.pyannote[2989].speaker SPEAKER_13
transcript.pyannote[2989].start 15105.75471875
transcript.pyannote[2989].end 15111.74534375
transcript.pyannote[2990].speaker SPEAKER_13
transcript.pyannote[2990].start 15112.28534375
transcript.pyannote[2990].end 15114.98534375
transcript.pyannote[2991].speaker SPEAKER_11
transcript.pyannote[2991].start 15145.14096875
transcript.pyannote[2991].end 15146.00159375
transcript.pyannote[2992].speaker SPEAKER_06
transcript.pyannote[2992].start 15146.64284375
transcript.pyannote[2992].end 15148.39784375
transcript.pyannote[2993].speaker SPEAKER_11
transcript.pyannote[2993].start 15149.42721875
transcript.pyannote[2993].end 15150.55784375
transcript.pyannote[2994].speaker SPEAKER_11
transcript.pyannote[2994].start 15153.84846875
transcript.pyannote[2994].end 15154.03409375
transcript.pyannote[2995].speaker SPEAKER_11
transcript.pyannote[2995].start 15154.05096875
transcript.pyannote[2995].end 15155.02971875
transcript.pyannote[2996].speaker SPEAKER_11
transcript.pyannote[2996].start 15156.34596875
transcript.pyannote[2996].end 15157.03784375
transcript.pyannote[2997].speaker SPEAKER_13
transcript.pyannote[2997].start 15178.97534375
transcript.pyannote[2997].end 15179.02596875
transcript.pyannote[2998].speaker SPEAKER_13
transcript.pyannote[2998].start 15180.05534375
transcript.pyannote[2998].end 15180.51096875
transcript.pyannote[2999].speaker SPEAKER_13
transcript.pyannote[2999].start 15180.79784375
transcript.pyannote[2999].end 15180.83159375
transcript.pyannote[3000].speaker SPEAKER_13
transcript.pyannote[3000].start 15180.84846875
transcript.pyannote[3000].end 15181.30409375
transcript.pyannote[3001].speaker SPEAKER_13
transcript.pyannote[3001].start 15181.75971875
transcript.pyannote[3001].end 15184.39221875
transcript.pyannote[3002].speaker SPEAKER_03
transcript.pyannote[3002].start 15204.86159375
transcript.pyannote[3002].end 15205.73909375
transcript.pyannote[3003].speaker SPEAKER_13
transcript.pyannote[3003].start 15213.70409375
transcript.pyannote[3003].end 15214.61534375
transcript.pyannote[3004].speaker SPEAKER_13
transcript.pyannote[3004].start 15214.80096875
transcript.pyannote[3004].end 15215.54346875
transcript.pyannote[3005].speaker SPEAKER_13
transcript.pyannote[3005].start 15241.71659375
transcript.pyannote[3005].end 15248.11221875
transcript.pyannote[3006].speaker SPEAKER_13
transcript.pyannote[3006].start 15248.63534375
transcript.pyannote[3006].end 15252.51659375
transcript.pyannote[3007].speaker SPEAKER_13
transcript.pyannote[3007].start 15252.80346875
transcript.pyannote[3007].end 15260.32971875
transcript.pyannote[3008].speaker SPEAKER_27
transcript.pyannote[3008].start 15262.91159375
transcript.pyannote[3008].end 15264.58221875
transcript.pyannote[3009].speaker SPEAKER_27
transcript.pyannote[3009].start 15265.39221875
transcript.pyannote[3009].end 15266.40471875
transcript.pyannote[3010].speaker SPEAKER_27
transcript.pyannote[3010].start 15267.65346875
transcript.pyannote[3010].end 15272.63159375
transcript.pyannote[3011].speaker SPEAKER_27
transcript.pyannote[3011].start 15273.34034375
transcript.pyannote[3011].end 15277.67721875
transcript.pyannote[3012].speaker SPEAKER_27
transcript.pyannote[3012].start 15278.13284375
transcript.pyannote[3012].end 15281.87909375
transcript.pyannote[3013].speaker SPEAKER_27
transcript.pyannote[3013].start 15283.22909375
transcript.pyannote[3013].end 15291.91971875
transcript.pyannote[3014].speaker SPEAKER_27
transcript.pyannote[3014].start 15292.35846875
transcript.pyannote[3014].end 15329.82096875
transcript.pyannote[3015].speaker SPEAKER_00
transcript.pyannote[3015].start 15310.58346875
transcript.pyannote[3015].end 15310.66784375
transcript.pyannote[3016].speaker SPEAKER_27
transcript.pyannote[3016].start 15329.95596875
transcript.pyannote[3016].end 15335.20409375
transcript.pyannote[3017].speaker SPEAKER_27
transcript.pyannote[3017].start 15335.74409375
transcript.pyannote[3017].end 15336.25034375
transcript.pyannote[3018].speaker SPEAKER_27
transcript.pyannote[3018].start 15336.36846875
transcript.pyannote[3018].end 15336.99284375
transcript.pyannote[3019].speaker SPEAKER_27
transcript.pyannote[3019].start 15338.66346875
transcript.pyannote[3019].end 15349.49721875
transcript.pyannote[3020].speaker SPEAKER_27
transcript.pyannote[3020].start 15349.93596875
transcript.pyannote[3020].end 15357.37784375
transcript.pyannote[3021].speaker SPEAKER_27
transcript.pyannote[3021].start 15358.01909375
transcript.pyannote[3021].end 15361.66409375
transcript.pyannote[3022].speaker SPEAKER_27
transcript.pyannote[3022].start 15361.71471875
transcript.pyannote[3022].end 15377.74596875
transcript.pyannote[3023].speaker SPEAKER_27
transcript.pyannote[3023].start 15378.31971875
transcript.pyannote[3023].end 15380.91846875
transcript.pyannote[3024].speaker SPEAKER_27
transcript.pyannote[3024].start 15381.64409375
transcript.pyannote[3024].end 15382.65659375
transcript.pyannote[3025].speaker SPEAKER_27
transcript.pyannote[3025].start 15383.11221875
transcript.pyannote[3025].end 15390.65534375
transcript.pyannote[3026].speaker SPEAKER_27
transcript.pyannote[3026].start 15390.92534375
transcript.pyannote[3026].end 15391.34721875
transcript.pyannote[3027].speaker SPEAKER_27
transcript.pyannote[3027].start 15391.73534375
transcript.pyannote[3027].end 15397.33784375
transcript.pyannote[3028].speaker SPEAKER_27
transcript.pyannote[3028].start 15397.89471875
transcript.pyannote[3028].end 15401.79284375
transcript.pyannote[3029].speaker SPEAKER_27
transcript.pyannote[3029].start 15402.26534375
transcript.pyannote[3029].end 15412.15409375
transcript.pyannote[3030].speaker SPEAKER_27
transcript.pyannote[3030].start 15412.27221875
transcript.pyannote[3030].end 15414.28034375
transcript.pyannote[3031].speaker SPEAKER_27
transcript.pyannote[3031].start 15414.63471875
transcript.pyannote[3031].end 15414.98909375
transcript.pyannote[3032].speaker SPEAKER_27
transcript.pyannote[3032].start 15415.32659375
transcript.pyannote[3032].end 15418.80284375
transcript.pyannote[3033].speaker SPEAKER_27
transcript.pyannote[3033].start 15419.39346875
transcript.pyannote[3033].end 15438.46221875
transcript.pyannote[3034].speaker SPEAKER_27
transcript.pyannote[3034].start 15438.51284375
transcript.pyannote[3034].end 15443.18721875
transcript.pyannote[3035].speaker SPEAKER_13
transcript.pyannote[3035].start 15444.41909375
transcript.pyannote[3035].end 15447.54096875
transcript.pyannote[3036].speaker SPEAKER_13
transcript.pyannote[3036].start 15447.99659375
transcript.pyannote[3036].end 15449.92034375
transcript.pyannote[3037].speaker SPEAKER_13
transcript.pyannote[3037].start 15465.05721875
transcript.pyannote[3037].end 15466.67721875
transcript.pyannote[3038].speaker SPEAKER_00
transcript.pyannote[3038].start 15466.89659375
transcript.pyannote[3038].end 15467.11596875
transcript.pyannote[3039].speaker SPEAKER_00
transcript.pyannote[3039].start 15468.33096875
transcript.pyannote[3039].end 15470.35596875
transcript.pyannote[3040].speaker SPEAKER_00
transcript.pyannote[3040].start 15471.55409375
transcript.pyannote[3040].end 15478.84409375
transcript.pyannote[3041].speaker SPEAKER_00
transcript.pyannote[3041].start 15479.60346875
transcript.pyannote[3041].end 15480.66659375
transcript.pyannote[3042].speaker SPEAKER_00
transcript.pyannote[3042].start 15481.02096875
transcript.pyannote[3042].end 15481.54409375
transcript.pyannote[3043].speaker SPEAKER_00
transcript.pyannote[3043].start 15482.37096875
transcript.pyannote[3043].end 15482.87721875
transcript.pyannote[3044].speaker SPEAKER_00
transcript.pyannote[3044].start 15483.16409375
transcript.pyannote[3044].end 15486.84284375
transcript.pyannote[3045].speaker SPEAKER_00
transcript.pyannote[3045].start 15487.14659375
transcript.pyannote[3045].end 15488.17596875
transcript.pyannote[3046].speaker SPEAKER_00
transcript.pyannote[3046].start 15488.59784375
transcript.pyannote[3046].end 15492.47909375
transcript.pyannote[3047].speaker SPEAKER_00
transcript.pyannote[3047].start 15493.08659375
transcript.pyannote[3047].end 15495.48284375
transcript.pyannote[3048].speaker SPEAKER_00
transcript.pyannote[3048].start 15495.83721875
transcript.pyannote[3048].end 15498.85784375
transcript.pyannote[3049].speaker SPEAKER_00
transcript.pyannote[3049].start 15499.41471875
transcript.pyannote[3049].end 15499.78596875
transcript.pyannote[3050].speaker SPEAKER_00
transcript.pyannote[3050].start 15500.76471875
transcript.pyannote[3050].end 15503.98784375
transcript.pyannote[3051].speaker SPEAKER_00
transcript.pyannote[3051].start 15504.67971875
transcript.pyannote[3051].end 15505.75971875
transcript.pyannote[3052].speaker SPEAKER_00
transcript.pyannote[3052].start 15505.92846875
transcript.pyannote[3052].end 15510.09659375
transcript.pyannote[3053].speaker SPEAKER_00
transcript.pyannote[3053].start 15511.29471875
transcript.pyannote[3053].end 15512.17221875
transcript.pyannote[3054].speaker SPEAKER_00
transcript.pyannote[3054].start 15512.71221875
transcript.pyannote[3054].end 15515.02409375
transcript.pyannote[3055].speaker SPEAKER_00
transcript.pyannote[3055].start 15515.56409375
transcript.pyannote[3055].end 15516.79596875
transcript.pyannote[3056].speaker SPEAKER_00
transcript.pyannote[3056].start 15517.42034375
transcript.pyannote[3056].end 15523.37721875
transcript.pyannote[3057].speaker SPEAKER_00
transcript.pyannote[3057].start 15523.69784375
transcript.pyannote[3057].end 15524.69346875
transcript.pyannote[3058].speaker SPEAKER_00
transcript.pyannote[3058].start 15524.96346875
transcript.pyannote[3058].end 15529.28346875
transcript.pyannote[3059].speaker SPEAKER_00
transcript.pyannote[3059].start 15529.70534375
transcript.pyannote[3059].end 15530.93721875
transcript.pyannote[3060].speaker SPEAKER_00
transcript.pyannote[3060].start 15531.91596875
transcript.pyannote[3060].end 15535.20659375
transcript.pyannote[3061].speaker SPEAKER_27
transcript.pyannote[3061].start 15535.98284375
transcript.pyannote[3061].end 15560.68784375
transcript.pyannote[3062].speaker SPEAKER_00
transcript.pyannote[3062].start 15546.49596875
transcript.pyannote[3062].end 15546.93471875
transcript.pyannote[3063].speaker SPEAKER_00
transcript.pyannote[3063].start 15560.26596875
transcript.pyannote[3063].end 15562.83096875
transcript.pyannote[3064].speaker SPEAKER_00
transcript.pyannote[3064].start 15562.84784375
transcript.pyannote[3064].end 15562.86471875
transcript.pyannote[3065].speaker SPEAKER_27
transcript.pyannote[3065].start 15562.86471875
transcript.pyannote[3065].end 15563.25284375
transcript.pyannote[3066].speaker SPEAKER_00
transcript.pyannote[3066].start 15563.25284375
transcript.pyannote[3066].end 15565.29471875
transcript.pyannote[3067].speaker SPEAKER_00
transcript.pyannote[3067].start 15565.59846875
transcript.pyannote[3067].end 15569.12534375
transcript.pyannote[3068].speaker SPEAKER_00
transcript.pyannote[3068].start 15569.71596875
transcript.pyannote[3068].end 15577.36034375
transcript.pyannote[3069].speaker SPEAKER_00
transcript.pyannote[3069].start 15577.61346875
transcript.pyannote[3069].end 15578.77784375
transcript.pyannote[3070].speaker SPEAKER_00
transcript.pyannote[3070].start 15579.04784375
transcript.pyannote[3070].end 15579.94221875
transcript.pyannote[3071].speaker SPEAKER_00
transcript.pyannote[3071].start 15581.61284375
transcript.pyannote[3071].end 15586.59096875
transcript.pyannote[3072].speaker SPEAKER_00
transcript.pyannote[3072].start 15586.82721875
transcript.pyannote[3072].end 15590.06721875
transcript.pyannote[3073].speaker SPEAKER_00
transcript.pyannote[3073].start 15590.38784375
transcript.pyannote[3073].end 15591.77159375
transcript.pyannote[3074].speaker SPEAKER_00
transcript.pyannote[3074].start 15592.22721875
transcript.pyannote[3074].end 15595.12971875
transcript.pyannote[3075].speaker SPEAKER_27
transcript.pyannote[3075].start 15595.12971875
transcript.pyannote[3075].end 15595.45034375
transcript.pyannote[3076].speaker SPEAKER_00
transcript.pyannote[3076].start 15595.45034375
transcript.pyannote[3076].end 15599.77034375
transcript.pyannote[3077].speaker SPEAKER_00
transcript.pyannote[3077].start 15600.96846875
transcript.pyannote[3077].end 15602.45346875
transcript.pyannote[3078].speaker SPEAKER_00
transcript.pyannote[3078].start 15603.36471875
transcript.pyannote[3078].end 15607.14471875
transcript.pyannote[3079].speaker SPEAKER_27
transcript.pyannote[3079].start 15608.02221875
transcript.pyannote[3079].end 15615.26159375
transcript.pyannote[3080].speaker SPEAKER_27
transcript.pyannote[3080].start 15615.73409375
transcript.pyannote[3080].end 15629.82471875
transcript.pyannote[3081].speaker SPEAKER_00
transcript.pyannote[3081].start 15629.74034375
transcript.pyannote[3081].end 15634.93784375
transcript.pyannote[3082].speaker SPEAKER_27
transcript.pyannote[3082].start 15634.90409375
transcript.pyannote[3082].end 15636.13596875
transcript.pyannote[3083].speaker SPEAKER_00
transcript.pyannote[3083].start 15635.79846875
transcript.pyannote[3083].end 15636.37221875
transcript.pyannote[3084].speaker SPEAKER_00
transcript.pyannote[3084].start 15636.87846875
transcript.pyannote[3084].end 15639.20721875
transcript.pyannote[3085].speaker SPEAKER_00
transcript.pyannote[3085].start 15639.54471875
transcript.pyannote[3085].end 15643.15596875
transcript.pyannote[3086].speaker SPEAKER_00
transcript.pyannote[3086].start 15643.79721875
transcript.pyannote[3086].end 15645.04596875
transcript.pyannote[3087].speaker SPEAKER_00
transcript.pyannote[3087].start 15645.70409375
transcript.pyannote[3087].end 15648.03284375
transcript.pyannote[3088].speaker SPEAKER_00
transcript.pyannote[3088].start 15648.94409375
transcript.pyannote[3088].end 15649.87221875
transcript.pyannote[3089].speaker SPEAKER_00
transcript.pyannote[3089].start 15651.01971875
transcript.pyannote[3089].end 15652.47096875
transcript.pyannote[3090].speaker SPEAKER_00
transcript.pyannote[3090].start 15652.90971875
transcript.pyannote[3090].end 15656.55471875
transcript.pyannote[3091].speaker SPEAKER_00
transcript.pyannote[3091].start 15656.75721875
transcript.pyannote[3091].end 15658.12409375
transcript.pyannote[3092].speaker SPEAKER_00
transcript.pyannote[3092].start 15658.25909375
transcript.pyannote[3092].end 15660.01409375
transcript.pyannote[3093].speaker SPEAKER_00
transcript.pyannote[3093].start 15660.45284375
transcript.pyannote[3093].end 15661.85346875
transcript.pyannote[3094].speaker SPEAKER_00
transcript.pyannote[3094].start 15662.81534375
transcript.pyannote[3094].end 15665.81909375
transcript.pyannote[3095].speaker SPEAKER_00
transcript.pyannote[3095].start 15666.10596875
transcript.pyannote[3095].end 15667.08471875
transcript.pyannote[3096].speaker SPEAKER_00
transcript.pyannote[3096].start 15668.16471875
transcript.pyannote[3096].end 15676.82159375
transcript.pyannote[3097].speaker SPEAKER_01
transcript.pyannote[3097].start 15675.84284375
transcript.pyannote[3097].end 15676.16346875
transcript.pyannote[3098].speaker SPEAKER_00
transcript.pyannote[3098].start 15676.99034375
transcript.pyannote[3098].end 15683.11596875
transcript.pyannote[3099].speaker SPEAKER_00
transcript.pyannote[3099].start 15683.14971875
transcript.pyannote[3099].end 15686.25471875
transcript.pyannote[3100].speaker SPEAKER_00
transcript.pyannote[3100].start 15687.25034375
transcript.pyannote[3100].end 15691.40159375
transcript.pyannote[3101].speaker SPEAKER_00
transcript.pyannote[3101].start 15691.65471875
transcript.pyannote[3101].end 15692.00909375
transcript.pyannote[3102].speaker SPEAKER_00
transcript.pyannote[3102].start 15693.25784375
transcript.pyannote[3102].end 15693.94971875
transcript.pyannote[3103].speaker SPEAKER_00
transcript.pyannote[3103].start 15694.87784375
transcript.pyannote[3103].end 15695.92409375
transcript.pyannote[3104].speaker SPEAKER_00
transcript.pyannote[3104].start 15697.27409375
transcript.pyannote[3104].end 15699.92346875
transcript.pyannote[3105].speaker SPEAKER_00
transcript.pyannote[3105].start 15700.24409375
transcript.pyannote[3105].end 15702.52221875
transcript.pyannote[3106].speaker SPEAKER_00
transcript.pyannote[3106].start 15703.65284375
transcript.pyannote[3106].end 15704.05784375
transcript.pyannote[3107].speaker SPEAKER_00
transcript.pyannote[3107].start 15704.39534375
transcript.pyannote[3107].end 15705.08721875
transcript.pyannote[3108].speaker SPEAKER_00
transcript.pyannote[3108].start 15706.06596875
transcript.pyannote[3108].end 15707.39909375
transcript.pyannote[3109].speaker SPEAKER_00
transcript.pyannote[3109].start 15707.78721875
transcript.pyannote[3109].end 15709.72784375
transcript.pyannote[3110].speaker SPEAKER_00
transcript.pyannote[3110].start 15709.87971875
transcript.pyannote[3110].end 15711.02721875
transcript.pyannote[3111].speaker SPEAKER_27
transcript.pyannote[3111].start 15711.98909375
transcript.pyannote[3111].end 15712.51221875
transcript.pyannote[3112].speaker SPEAKER_27
transcript.pyannote[3112].start 15713.01846875
transcript.pyannote[3112].end 15726.02909375
transcript.pyannote[3113].speaker SPEAKER_00
transcript.pyannote[3113].start 15725.62409375
transcript.pyannote[3113].end 15730.93971875
transcript.pyannote[3114].speaker SPEAKER_27
transcript.pyannote[3114].start 15726.48471875
transcript.pyannote[3114].end 15727.36221875
transcript.pyannote[3115].speaker SPEAKER_27
transcript.pyannote[3115].start 15730.85534375
transcript.pyannote[3115].end 15731.27721875
transcript.pyannote[3116].speaker SPEAKER_00
transcript.pyannote[3116].start 15731.27721875
transcript.pyannote[3116].end 15736.59284375
transcript.pyannote[3117].speaker SPEAKER_00
transcript.pyannote[3117].start 15737.43659375
transcript.pyannote[3117].end 15738.80346875
transcript.pyannote[3118].speaker SPEAKER_00
transcript.pyannote[3118].start 15739.51221875
transcript.pyannote[3118].end 15743.54534375
transcript.pyannote[3119].speaker SPEAKER_00
transcript.pyannote[3119].start 15744.03471875
transcript.pyannote[3119].end 15744.91221875
transcript.pyannote[3120].speaker SPEAKER_00
transcript.pyannote[3120].start 15745.30034375
transcript.pyannote[3120].end 15746.02596875
transcript.pyannote[3121].speaker SPEAKER_00
transcript.pyannote[3121].start 15746.22846875
transcript.pyannote[3121].end 15749.56971875
transcript.pyannote[3122].speaker SPEAKER_00
transcript.pyannote[3122].start 15750.46409375
transcript.pyannote[3122].end 15755.81346875
transcript.pyannote[3123].speaker SPEAKER_27
transcript.pyannote[3123].start 15756.25221875
transcript.pyannote[3123].end 15765.56721875
transcript.pyannote[3124].speaker SPEAKER_27
transcript.pyannote[3124].start 15765.87096875
transcript.pyannote[3124].end 15774.07221875
transcript.pyannote[3125].speaker SPEAKER_08
transcript.pyannote[3125].start 15769.63409375
transcript.pyannote[3125].end 15769.75221875
transcript.pyannote[3126].speaker SPEAKER_08
transcript.pyannote[3126].start 15769.78596875
transcript.pyannote[3126].end 15769.95471875
transcript.pyannote[3127].speaker SPEAKER_27
transcript.pyannote[3127].start 15774.42659375
transcript.pyannote[3127].end 15783.04971875
transcript.pyannote[3128].speaker SPEAKER_27
transcript.pyannote[3128].start 15783.13409375
transcript.pyannote[3128].end 15795.82409375
transcript.pyannote[3129].speaker SPEAKER_00
transcript.pyannote[3129].start 15795.03096875
transcript.pyannote[3129].end 15800.41409375
transcript.pyannote[3130].speaker SPEAKER_00
transcript.pyannote[3130].start 15800.81909375
transcript.pyannote[3130].end 15807.90659375
transcript.pyannote[3131].speaker SPEAKER_00
transcript.pyannote[3131].start 15808.54784375
transcript.pyannote[3131].end 15814.58909375
transcript.pyannote[3132].speaker SPEAKER_00
transcript.pyannote[3132].start 15814.77471875
transcript.pyannote[3132].end 15814.79159375
transcript.pyannote[3133].speaker SPEAKER_27
transcript.pyannote[3133].start 15814.79159375
transcript.pyannote[3133].end 15815.77034375
transcript.pyannote[3134].speaker SPEAKER_27
transcript.pyannote[3134].start 15816.19221875
transcript.pyannote[3134].end 15816.93471875
transcript.pyannote[3135].speaker SPEAKER_13
transcript.pyannote[3135].start 15817.50846875
transcript.pyannote[3135].end 15821.03534375
transcript.pyannote[3136].speaker SPEAKER_13
transcript.pyannote[3136].start 15827.65034375
transcript.pyannote[3136].end 15830.04659375
transcript.pyannote[3137].speaker SPEAKER_13
transcript.pyannote[3137].start 15831.31221875
transcript.pyannote[3137].end 15832.02096875
transcript.pyannote[3138].speaker SPEAKER_13
transcript.pyannote[3138].start 15833.28659375
transcript.pyannote[3138].end 15840.37409375
transcript.pyannote[3139].speaker SPEAKER_13
transcript.pyannote[3139].start 15840.81284375
transcript.pyannote[3139].end 15852.10221875
transcript.pyannote[3140].speaker SPEAKER_08
transcript.pyannote[3140].start 15856.96221875
transcript.pyannote[3140].end 15857.02971875
transcript.pyannote[3141].speaker SPEAKER_11
transcript.pyannote[3141].start 15857.02971875
transcript.pyannote[3141].end 15857.53596875
transcript.pyannote[3142].speaker SPEAKER_08
transcript.pyannote[3142].start 15857.53596875
transcript.pyannote[3142].end 15857.67096875
transcript.pyannote[3143].speaker SPEAKER_11
transcript.pyannote[3143].start 15857.67096875
transcript.pyannote[3143].end 15857.70471875
transcript.pyannote[3144].speaker SPEAKER_08
transcript.pyannote[3144].start 15857.70471875
transcript.pyannote[3144].end 15857.73846875
transcript.pyannote[3145].speaker SPEAKER_13
transcript.pyannote[3145].start 15858.85221875
transcript.pyannote[3145].end 15863.32409375
transcript.pyannote[3146].speaker SPEAKER_11
transcript.pyannote[3146].start 15862.17659375
transcript.pyannote[3146].end 15862.31159375
transcript.pyannote[3147].speaker SPEAKER_08
transcript.pyannote[3147].start 15862.31159375
transcript.pyannote[3147].end 15862.51409375
transcript.pyannote[3148].speaker SPEAKER_11
transcript.pyannote[3148].start 15862.51409375
transcript.pyannote[3148].end 15865.21409375
transcript.pyannote[3149].speaker SPEAKER_13
transcript.pyannote[3149].start 15864.65721875
transcript.pyannote[3149].end 15865.23096875
transcript.pyannote[3150].speaker SPEAKER_11
transcript.pyannote[3150].start 15865.23096875
transcript.pyannote[3150].end 15865.56846875
transcript.pyannote[3151].speaker SPEAKER_11
transcript.pyannote[3151].start 15865.92284375
transcript.pyannote[3151].end 15866.59784375
transcript.pyannote[3152].speaker SPEAKER_13
transcript.pyannote[3152].start 15866.59784375
transcript.pyannote[3152].end 15866.81721875
transcript.pyannote[3153].speaker SPEAKER_13
transcript.pyannote[3153].start 15866.93534375
transcript.pyannote[3153].end 15866.96909375
transcript.pyannote[3154].speaker SPEAKER_11
transcript.pyannote[3154].start 15866.96909375
transcript.pyannote[3154].end 15867.08721875
transcript.pyannote[3155].speaker SPEAKER_13
transcript.pyannote[3155].start 15867.08721875
transcript.pyannote[3155].end 15868.53846875
transcript.pyannote[3156].speaker SPEAKER_11
transcript.pyannote[3156].start 15867.17159375
transcript.pyannote[3156].end 15868.36971875
transcript.pyannote[3157].speaker SPEAKER_11
transcript.pyannote[3157].start 15868.53846875
transcript.pyannote[3157].end 15868.63971875
transcript.pyannote[3158].speaker SPEAKER_11
transcript.pyannote[3158].start 15868.77471875
transcript.pyannote[3158].end 15869.11221875
transcript.pyannote[3159].speaker SPEAKER_28
transcript.pyannote[3159].start 15869.11221875
transcript.pyannote[3159].end 15869.92221875
transcript.pyannote[3160].speaker SPEAKER_11
transcript.pyannote[3160].start 15869.92221875
transcript.pyannote[3160].end 15869.93909375
transcript.pyannote[3161].speaker SPEAKER_28
transcript.pyannote[3161].start 15870.32721875
transcript.pyannote[3161].end 15870.41159375
transcript.pyannote[3162].speaker SPEAKER_11
transcript.pyannote[3162].start 15870.41159375
transcript.pyannote[3162].end 15871.10346875
transcript.pyannote[3163].speaker SPEAKER_13
transcript.pyannote[3163].start 15871.10346875
transcript.pyannote[3163].end 15871.20471875
transcript.pyannote[3164].speaker SPEAKER_11
transcript.pyannote[3164].start 15871.18784375
transcript.pyannote[3164].end 15871.33971875
transcript.pyannote[3165].speaker SPEAKER_08
transcript.pyannote[3165].start 15871.20471875
transcript.pyannote[3165].end 15871.27221875
transcript.pyannote[3166].speaker SPEAKER_13
transcript.pyannote[3166].start 15871.27221875
transcript.pyannote[3166].end 15871.33971875
transcript.pyannote[3167].speaker SPEAKER_28
transcript.pyannote[3167].start 15871.33971875
transcript.pyannote[3167].end 15871.49159375
transcript.pyannote[3168].speaker SPEAKER_08
transcript.pyannote[3168].start 15873.78659375
transcript.pyannote[3168].end 15874.63034375
transcript.pyannote[3169].speaker SPEAKER_11
transcript.pyannote[3169].start 15891.64034375
transcript.pyannote[3169].end 15891.72471875
transcript.pyannote[3170].speaker SPEAKER_07
transcript.pyannote[3170].start 15891.72471875
transcript.pyannote[3170].end 15895.28534375
transcript.pyannote[3171].speaker SPEAKER_11
transcript.pyannote[3171].start 15891.97784375
transcript.pyannote[3171].end 15892.26471875
transcript.pyannote[3172].speaker SPEAKER_24
transcript.pyannote[3172].start 15892.26471875
transcript.pyannote[3172].end 15892.34909375
transcript.pyannote[3173].speaker SPEAKER_08
transcript.pyannote[3173].start 15892.34909375
transcript.pyannote[3173].end 15892.48409375
transcript.pyannote[3174].speaker SPEAKER_24
transcript.pyannote[3174].start 15892.48409375
transcript.pyannote[3174].end 15892.61909375
transcript.pyannote[3175].speaker SPEAKER_08
transcript.pyannote[3175].start 15892.61909375
transcript.pyannote[3175].end 15893.36159375
transcript.pyannote[3176].speaker SPEAKER_15
transcript.pyannote[3176].start 15893.36159375
transcript.pyannote[3176].end 15893.41221875
transcript.pyannote[3177].speaker SPEAKER_11
transcript.pyannote[3177].start 15893.41221875
transcript.pyannote[3177].end 15893.61471875
transcript.pyannote[3178].speaker SPEAKER_08
transcript.pyannote[3178].start 15893.61471875
transcript.pyannote[3178].end 15893.68221875
transcript.pyannote[3179].speaker SPEAKER_15
transcript.pyannote[3179].start 15893.68221875
transcript.pyannote[3179].end 15893.71596875
transcript.pyannote[3180].speaker SPEAKER_08
transcript.pyannote[3180].start 15893.71596875
transcript.pyannote[3180].end 15894.03659375
transcript.pyannote[3181].speaker SPEAKER_15
transcript.pyannote[3181].start 15894.03659375
transcript.pyannote[3181].end 15895.03221875
transcript.pyannote[3182].speaker SPEAKER_08
transcript.pyannote[3182].start 15895.03221875
transcript.pyannote[3182].end 15895.26846875
transcript.pyannote[3183].speaker SPEAKER_08
transcript.pyannote[3183].start 15895.28534375
transcript.pyannote[3183].end 15895.35284375
transcript.pyannote[3184].speaker SPEAKER_07
transcript.pyannote[3184].start 15895.35284375
transcript.pyannote[3184].end 15895.43721875
transcript.pyannote[3185].speaker SPEAKER_11
transcript.pyannote[3185].start 15895.43721875
transcript.pyannote[3185].end 15895.65659375
transcript.pyannote[3186].speaker SPEAKER_07
transcript.pyannote[3186].start 15895.65659375
transcript.pyannote[3186].end 15897.04034375
transcript.pyannote[3187].speaker SPEAKER_15
transcript.pyannote[3187].start 15895.74096875
transcript.pyannote[3187].end 15895.77471875
transcript.pyannote[3188].speaker SPEAKER_08
transcript.pyannote[3188].start 15895.77471875
transcript.pyannote[3188].end 15902.37284375
transcript.pyannote[3189].speaker SPEAKER_15
transcript.pyannote[3189].start 15897.04034375
transcript.pyannote[3189].end 15897.05721875
transcript.pyannote[3190].speaker SPEAKER_07
transcript.pyannote[3190].start 15898.67721875
transcript.pyannote[3190].end 15901.56284375
transcript.pyannote[3191].speaker SPEAKER_08
transcript.pyannote[3191].start 15902.54159375
transcript.pyannote[3191].end 15905.56221875
transcript.pyannote[3192].speaker SPEAKER_08
transcript.pyannote[3192].start 15905.76471875
transcript.pyannote[3192].end 15906.67596875
transcript.pyannote[3193].speaker SPEAKER_00
transcript.pyannote[3193].start 15908.88659375
transcript.pyannote[3193].end 15909.83159375
transcript.pyannote[3194].speaker SPEAKER_00
transcript.pyannote[3194].start 15912.41346875
transcript.pyannote[3194].end 15912.44721875
transcript.pyannote[3195].speaker SPEAKER_08
transcript.pyannote[3195].start 15912.44721875
transcript.pyannote[3195].end 15912.58221875
transcript.pyannote[3196].speaker SPEAKER_00
transcript.pyannote[3196].start 15912.58221875
transcript.pyannote[3196].end 15912.63284375
transcript.pyannote[3197].speaker SPEAKER_08
transcript.pyannote[3197].start 15912.63284375
transcript.pyannote[3197].end 15912.71721875
transcript.pyannote[3198].speaker SPEAKER_00
transcript.pyannote[3198].start 15912.71721875
transcript.pyannote[3198].end 15913.67909375
transcript.pyannote[3199].speaker SPEAKER_11
transcript.pyannote[3199].start 15914.69159375
transcript.pyannote[3199].end 15915.02909375
transcript.pyannote[3200].speaker SPEAKER_11
transcript.pyannote[3200].start 15915.97409375
transcript.pyannote[3200].end 15916.02471875
transcript.pyannote[3201].speaker SPEAKER_11
transcript.pyannote[3201].start 15917.18909375
transcript.pyannote[3201].end 15919.97346875
transcript.pyannote[3202].speaker SPEAKER_24
transcript.pyannote[3202].start 15919.97346875
transcript.pyannote[3202].end 15920.14221875
transcript.pyannote[3203].speaker SPEAKER_11
transcript.pyannote[3203].start 15920.14221875
transcript.pyannote[3203].end 15920.29409375
transcript.pyannote[3204].speaker SPEAKER_11
transcript.pyannote[3204].start 15921.61034375
transcript.pyannote[3204].end 15921.62721875
transcript.pyannote[3205].speaker SPEAKER_12
transcript.pyannote[3205].start 15921.62721875
transcript.pyannote[3205].end 15923.61846875
transcript.pyannote[3206].speaker SPEAKER_11
transcript.pyannote[3206].start 15921.82971875
transcript.pyannote[3206].end 15921.84659375
transcript.pyannote[3207].speaker SPEAKER_24
transcript.pyannote[3207].start 15921.84659375
transcript.pyannote[3207].end 15923.93909375
transcript.pyannote[3208].speaker SPEAKER_28
transcript.pyannote[3208].start 15923.93909375
transcript.pyannote[3208].end 15923.97284375
transcript.pyannote[3209].speaker SPEAKER_24
transcript.pyannote[3209].start 15923.97284375
transcript.pyannote[3209].end 15924.05721875
transcript.pyannote[3210].speaker SPEAKER_12
transcript.pyannote[3210].start 15924.05721875
transcript.pyannote[3210].end 15926.47034375
transcript.pyannote[3211].speaker SPEAKER_28
transcript.pyannote[3211].start 15924.29346875
transcript.pyannote[3211].end 15924.42846875
transcript.pyannote[3212].speaker SPEAKER_09
transcript.pyannote[3212].start 15938.45159375
transcript.pyannote[3212].end 15940.22346875
transcript.pyannote[3213].speaker SPEAKER_13
transcript.pyannote[3213].start 15942.34971875
transcript.pyannote[3213].end 15943.04159375
transcript.pyannote[3214].speaker SPEAKER_26
transcript.pyannote[3214].start 15954.80346875
transcript.pyannote[3214].end 15955.22534375
transcript.pyannote[3215].speaker SPEAKER_13
transcript.pyannote[3215].start 15955.22534375
transcript.pyannote[3215].end 15955.27596875
transcript.pyannote[3216].speaker SPEAKER_13
transcript.pyannote[3216].start 15956.11971875
transcript.pyannote[3216].end 15956.22096875
transcript.pyannote[3217].speaker SPEAKER_26
transcript.pyannote[3217].start 15956.22096875
transcript.pyannote[3217].end 15956.92971875
transcript.pyannote[3218].speaker SPEAKER_13
transcript.pyannote[3218].start 15956.92971875
transcript.pyannote[3218].end 15956.98034375
transcript.pyannote[3219].speaker SPEAKER_13
transcript.pyannote[3219].start 15958.58346875
transcript.pyannote[3219].end 15959.51159375
transcript.pyannote[3220].speaker SPEAKER_26
transcript.pyannote[3220].start 15962.43096875
transcript.pyannote[3220].end 15964.57409375
transcript.pyannote[3221].speaker SPEAKER_13
transcript.pyannote[3221].start 15967.27409375
transcript.pyannote[3221].end 15969.58596875
transcript.pyannote[3222].speaker SPEAKER_13
transcript.pyannote[3222].start 15971.22284375
transcript.pyannote[3222].end 15972.25221875
transcript.pyannote[3223].speaker SPEAKER_13
transcript.pyannote[3223].start 15974.78346875
transcript.pyannote[3223].end 15986.61284375
transcript.pyannote[3224].speaker SPEAKER_26
transcript.pyannote[3224].start 15990.25784375
transcript.pyannote[3224].end 16008.01034375
transcript.pyannote[3225].speaker SPEAKER_26
transcript.pyannote[3225].start 16008.78659375
transcript.pyannote[3225].end 16009.39409375
transcript.pyannote[3226].speaker SPEAKER_26
transcript.pyannote[3226].start 16009.90034375
transcript.pyannote[3226].end 16014.01784375
transcript.pyannote[3227].speaker SPEAKER_26
transcript.pyannote[3227].start 16014.30471875
transcript.pyannote[3227].end 16015.57034375
transcript.pyannote[3228].speaker SPEAKER_26
transcript.pyannote[3228].start 16015.63784375
transcript.pyannote[3228].end 16021.61159375
transcript.pyannote[3229].speaker SPEAKER_26
transcript.pyannote[3229].start 16021.96596875
transcript.pyannote[3229].end 16023.45096875
transcript.pyannote[3230].speaker SPEAKER_26
transcript.pyannote[3230].start 16023.60284375
transcript.pyannote[3230].end 16026.31971875
transcript.pyannote[3231].speaker SPEAKER_26
transcript.pyannote[3231].start 16026.55596875
transcript.pyannote[3231].end 16041.87846875
transcript.pyannote[3232].speaker SPEAKER_26
transcript.pyannote[3232].start 16042.33409375
transcript.pyannote[3232].end 16047.61596875
transcript.pyannote[3233].speaker SPEAKER_13
transcript.pyannote[3233].start 16048.86471875
transcript.pyannote[3233].end 16055.68221875
transcript.pyannote[3234].speaker SPEAKER_11
transcript.pyannote[3234].start 16055.02409375
transcript.pyannote[3234].end 16055.34471875
transcript.pyannote[3235].speaker SPEAKER_11
transcript.pyannote[3235].start 16055.96909375
transcript.pyannote[3235].end 16056.66096875
transcript.pyannote[3236].speaker SPEAKER_11
transcript.pyannote[3236].start 16056.96471875
transcript.pyannote[3236].end 16058.82096875
transcript.pyannote[3237].speaker SPEAKER_13
transcript.pyannote[3237].start 16059.20909375
transcript.pyannote[3237].end 16061.26784375
transcript.pyannote[3238].speaker SPEAKER_13
transcript.pyannote[3238].start 16064.27159375
transcript.pyannote[3238].end 16071.76409375
transcript.pyannote[3239].speaker SPEAKER_13
transcript.pyannote[3239].start 16072.45596875
transcript.pyannote[3239].end 16078.14284375
transcript.pyannote[3240].speaker SPEAKER_13
transcript.pyannote[3240].start 16081.61909375
transcript.pyannote[3240].end 16086.32721875
transcript.pyannote[3241].speaker SPEAKER_13
transcript.pyannote[3241].start 16086.74909375
transcript.pyannote[3241].end 16091.18721875
transcript.pyannote[3242].speaker SPEAKER_13
transcript.pyannote[3242].start 16091.49096875
transcript.pyannote[3242].end 16094.74784375
transcript.pyannote[3243].speaker SPEAKER_13
transcript.pyannote[3243].start 16094.88284375
transcript.pyannote[3243].end 16100.04659375
transcript.pyannote[3244].speaker SPEAKER_13
transcript.pyannote[3244].start 16100.72159375
transcript.pyannote[3244].end 16103.23596875
transcript.pyannote[3245].speaker SPEAKER_13
transcript.pyannote[3245].start 16103.48909375
transcript.pyannote[3245].end 16106.56034375
transcript.pyannote[3246].speaker SPEAKER_13
transcript.pyannote[3246].start 16107.30284375
transcript.pyannote[3246].end 16117.02284375
transcript.pyannote[3247].speaker SPEAKER_13
transcript.pyannote[3247].start 16117.14096875
transcript.pyannote[3247].end 16125.00471875
transcript.pyannote[3248].speaker SPEAKER_13
transcript.pyannote[3248].start 16125.15659375
transcript.pyannote[3248].end 16133.45909375
transcript.pyannote[3249].speaker SPEAKER_13
transcript.pyannote[3249].start 16134.37034375
transcript.pyannote[3249].end 16135.09596875
transcript.pyannote[3250].speaker SPEAKER_13
transcript.pyannote[3250].start 16135.53471875
transcript.pyannote[3250].end 16138.33596875
transcript.pyannote[3251].speaker SPEAKER_13
transcript.pyannote[3251].start 16138.99409375
transcript.pyannote[3251].end 16155.85221875
transcript.pyannote[3252].speaker SPEAKER_13
transcript.pyannote[3252].start 16156.39221875
transcript.pyannote[3252].end 16162.31534375
transcript.pyannote[3253].speaker SPEAKER_13
transcript.pyannote[3253].start 16162.68659375
transcript.pyannote[3253].end 16163.74971875
transcript.pyannote[3254].speaker SPEAKER_13
transcript.pyannote[3254].start 16164.35721875
transcript.pyannote[3254].end 16168.52534375
transcript.pyannote[3255].speaker SPEAKER_13
transcript.pyannote[3255].start 16169.16659375
transcript.pyannote[3255].end 16169.84159375
transcript.pyannote[3256].speaker SPEAKER_13
transcript.pyannote[3256].start 16170.26346875
transcript.pyannote[3256].end 16171.10721875
transcript.pyannote[3257].speaker SPEAKER_13
transcript.pyannote[3257].start 16171.15784375
transcript.pyannote[3257].end 16177.01346875
transcript.pyannote[3258].speaker SPEAKER_13
transcript.pyannote[3258].start 16180.15221875
transcript.pyannote[3258].end 16180.79346875
transcript.pyannote[3259].speaker SPEAKER_13
transcript.pyannote[3259].start 16183.08846875
transcript.pyannote[3259].end 16194.74909375
transcript.pyannote[3260].speaker SPEAKER_13
transcript.pyannote[3260].start 16195.13721875
transcript.pyannote[3260].end 16199.89596875
transcript.pyannote[3261].speaker SPEAKER_13
transcript.pyannote[3261].start 16200.26721875
transcript.pyannote[3261].end 16204.38471875
transcript.pyannote[3262].speaker SPEAKER_13
transcript.pyannote[3262].start 16205.31284375
transcript.pyannote[3262].end 16213.71659375
transcript.pyannote[3263].speaker SPEAKER_13
transcript.pyannote[3263].start 16214.56034375
transcript.pyannote[3263].end 16225.86659375
transcript.pyannote[3264].speaker SPEAKER_13
transcript.pyannote[3264].start 16226.10284375
transcript.pyannote[3264].end 16229.54534375
transcript.pyannote[3265].speaker SPEAKER_13
transcript.pyannote[3265].start 16230.40596875
transcript.pyannote[3265].end 16231.94159375
transcript.pyannote[3266].speaker SPEAKER_13
transcript.pyannote[3266].start 16233.10596875
transcript.pyannote[3266].end 16234.69221875
transcript.pyannote[3267].speaker SPEAKER_13
transcript.pyannote[3267].start 16235.08034375
transcript.pyannote[3267].end 16243.56846875
transcript.pyannote[3268].speaker SPEAKER_13
transcript.pyannote[3268].start 16243.95659375
transcript.pyannote[3268].end 16246.65659375
transcript.pyannote[3269].speaker SPEAKER_13
transcript.pyannote[3269].start 16247.95596875
transcript.pyannote[3269].end 16249.71096875
transcript.pyannote[3270].speaker SPEAKER_13
transcript.pyannote[3270].start 16249.91346875
transcript.pyannote[3270].end 16258.84034375
transcript.pyannote[3271].speaker SPEAKER_13
transcript.pyannote[3271].start 16259.31284375
transcript.pyannote[3271].end 16261.81034375
transcript.pyannote[3272].speaker SPEAKER_13
transcript.pyannote[3272].start 16262.09721875
transcript.pyannote[3272].end 16271.05784375
transcript.pyannote[3273].speaker SPEAKER_13
transcript.pyannote[3273].start 16273.97721875
transcript.pyannote[3273].end 16275.14159375
transcript.pyannote[3274].speaker SPEAKER_13
transcript.pyannote[3274].start 16275.96846875
transcript.pyannote[3274].end 16276.28909375
transcript.pyannote[3275].speaker SPEAKER_13
transcript.pyannote[3275].start 16277.87534375
transcript.pyannote[3275].end 16280.79471875
transcript.pyannote[3276].speaker SPEAKER_11
transcript.pyannote[3276].start 16278.19596875
transcript.pyannote[3276].end 16279.64721875
transcript.pyannote[3277].speaker SPEAKER_11
transcript.pyannote[3277].start 16280.79471875
transcript.pyannote[3277].end 16280.84534375
transcript.pyannote[3278].speaker SPEAKER_13
transcript.pyannote[3278].start 16281.25034375
transcript.pyannote[3278].end 16281.26721875
transcript.pyannote[3279].speaker SPEAKER_11
transcript.pyannote[3279].start 16281.26721875
transcript.pyannote[3279].end 16281.28409375
transcript.pyannote[3280].speaker SPEAKER_13
transcript.pyannote[3280].start 16281.28409375
transcript.pyannote[3280].end 16282.97159375
transcript.pyannote[3281].speaker SPEAKER_11
transcript.pyannote[3281].start 16281.30096875
transcript.pyannote[3281].end 16282.54971875
transcript.pyannote[3282].speaker SPEAKER_11
transcript.pyannote[3282].start 16282.97159375
transcript.pyannote[3282].end 16283.03909375
transcript.pyannote[3283].speaker SPEAKER_13
transcript.pyannote[3283].start 16283.03909375
transcript.pyannote[3283].end 16283.96721875
transcript.pyannote[3284].speaker SPEAKER_11
transcript.pyannote[3284].start 16283.96721875
transcript.pyannote[3284].end 16284.03471875
transcript.pyannote[3285].speaker SPEAKER_13
transcript.pyannote[3285].start 16284.03471875
transcript.pyannote[3285].end 16284.87846875
transcript.pyannote[3286].speaker SPEAKER_11
transcript.pyannote[3286].start 16284.87846875
transcript.pyannote[3286].end 16284.92909375
transcript.pyannote[3287].speaker SPEAKER_13
transcript.pyannote[3287].start 16285.51971875
transcript.pyannote[3287].end 16286.86971875
transcript.pyannote[3288].speaker SPEAKER_13
transcript.pyannote[3288].start 16289.97471875
transcript.pyannote[3288].end 16290.88596875
transcript.pyannote[3289].speaker SPEAKER_13
transcript.pyannote[3289].start 16291.57784375
transcript.pyannote[3289].end 16295.96534375
transcript.pyannote[3290].speaker SPEAKER_08
transcript.pyannote[3290].start 16292.99534375
transcript.pyannote[3290].end 16293.02909375
transcript.pyannote[3291].speaker SPEAKER_04
transcript.pyannote[3291].start 16293.02909375
transcript.pyannote[3291].end 16293.99096875
transcript.pyannote[3292].speaker SPEAKER_08
transcript.pyannote[3292].start 16293.99096875
transcript.pyannote[3292].end 16294.00784375
transcript.pyannote[3293].speaker SPEAKER_08
transcript.pyannote[3293].start 16295.96534375
transcript.pyannote[3293].end 16296.48846875
transcript.pyannote[3294].speaker SPEAKER_11
transcript.pyannote[3294].start 16296.03284375
transcript.pyannote[3294].end 16296.80909375
transcript.pyannote[3295].speaker SPEAKER_13
transcript.pyannote[3295].start 16296.48846875
transcript.pyannote[3295].end 16296.58971875
transcript.pyannote[3296].speaker SPEAKER_13
transcript.pyannote[3296].start 16296.80909375
transcript.pyannote[3296].end 16297.04534375
transcript.pyannote[3297].speaker SPEAKER_11
transcript.pyannote[3297].start 16297.04534375
transcript.pyannote[3297].end 16297.07909375
transcript.pyannote[3298].speaker SPEAKER_11
transcript.pyannote[3298].start 16299.03659375
transcript.pyannote[3298].end 16309.14471875
transcript.pyannote[3299].speaker SPEAKER_08
transcript.pyannote[3299].start 16301.93909375
transcript.pyannote[3299].end 16308.28409375
transcript.pyannote[3300].speaker SPEAKER_11
transcript.pyannote[3300].start 16309.60034375
transcript.pyannote[3300].end 16314.86534375
transcript.pyannote[3301].speaker SPEAKER_08
transcript.pyannote[3301].start 16310.88284375
transcript.pyannote[3301].end 16311.91221875
transcript.pyannote[3302].speaker SPEAKER_08
transcript.pyannote[3302].start 16312.08096875
transcript.pyannote[3302].end 16314.84846875
transcript.pyannote[3303].speaker SPEAKER_08
transcript.pyannote[3303].start 16314.86534375
transcript.pyannote[3303].end 16317.24471875
transcript.pyannote[3304].speaker SPEAKER_11
transcript.pyannote[3304].start 16315.20284375
transcript.pyannote[3304].end 16315.86096875
transcript.pyannote[3305].speaker SPEAKER_08
transcript.pyannote[3305].start 16317.46409375
transcript.pyannote[3305].end 16320.58596875
transcript.pyannote[3306].speaker SPEAKER_11
transcript.pyannote[3306].start 16317.80159375
transcript.pyannote[3306].end 16318.13909375
transcript.pyannote[3307].speaker SPEAKER_11
transcript.pyannote[3307].start 16319.53971875
transcript.pyannote[3307].end 16319.97846875
transcript.pyannote[3308].speaker SPEAKER_00
transcript.pyannote[3308].start 16319.97846875
transcript.pyannote[3308].end 16320.56909375
transcript.pyannote[3309].speaker SPEAKER_08
transcript.pyannote[3309].start 16320.94034375
transcript.pyannote[3309].end 16320.97409375
transcript.whisperx[0].start 1615.878
transcript.whisperx[0].end 1625.567
transcript.whisperx[0].text 請主任秘書報告出席人數報告聯席會出席委員13人已足法定人數現在我們來開會進行報告屬行請先讀上次會議議事錄
transcript.whisperx[1].start 1630.905
transcript.whisperx[1].end 1647.053
transcript.whisperx[1].text 立法院第11屆第4會期內政司法及法治委員會第一次聯席會議議事錄時間115年1月12日星期一上午9時1分至12時11分地點紅樓202會議室出席委員蘇巧慧委員等23人列席委員鄭天才委員等8人
transcript.whisperx[2].start 1647.649
transcript.whisperx[2].end 1672.91
transcript.whisperx[2].text 請假委員黃國昌 麥玉珍 丁學忠委員三人列席官員 大陸委員會副主任委員梁文傑暨相關人員內政部常務次長吳唐安暨相關人員中央全局委員會法務部外交部國家安全局國家通訊傳播委員會數位發展部交通部司法院監察院財團法人海峽交流基金會等機關代表暨相關人員主席王昭吉委員美會討論事項審查反滲透法修正草案暨時案討論事項合併詢答委員
transcript.whisperx[3].start 1675.712
transcript.whisperx[3].end 1701.867
transcript.whisperx[3].text 沈博洋 王定宇 黃捷說明提案要旨大陸委員會副主任委員梁文傑內政部常務次長吳唐安報告委員蘇巧慧等17人質詢分別由大陸委員會副主任委員梁文傑及相關人員國家安全局第三處陳副處長法務部參事謝志明司法院刑事廳法官吳元耀內政部常務次長吳唐安中央選舉委員會法政處處長蔡京高數位發展部法制處副處長吳怡倫答覆說明
transcript.whisperx[4].start 1702.327
transcript.whisperx[4].end 1726.361
transcript.whisperx[4].text 登記發言委員除不在場者外 其餘均與發言完畢 詢答結束委員莊銳雄 林怡瑾 丁學忠 徐欣盈 沈發慧等五人所提書面質詢列入紀錄刊登公報書面質詢及位及答覆部分請相關機關於一週內另以書面答覆並複製本會決議討論事項所列議案均另定期繼續審查 宣讀完畢請問各位委員 今天會議記錄有什麼錯誤與疑慮嗎沒有
transcript.whisperx[5].start 1732.871
transcript.whisperx[5].end 1748.001
transcript.whisperx[5].text 議事錄確定我們繼續進行討論署行簽讀審查行政院涵送中央選舉委員會委員提名名單游盈隆為委員並為主任委員胡柏彥為委員並為副主任委員
transcript.whisperx[6].start 1748.901
transcript.whisperx[6].end 1767.209
transcript.whisperx[6].text 黃文玲 李李仲 蘇嘉鴻 蘇紫橋及陳忠義 軍委委員請同意案依序分別審查由被提名人 迎龍胡被提名人 博焱黃被提名人 文玲李被提名人 李仲蘇被提名人 嘉鴻蘇被提名人 紫橋陳被提名人 忠義 宣讀完畢我們來介紹主席的委員跟行政機關列席的委員跟被提名人
transcript.whisperx[7].start 1786.826
transcript.whisperx[7].end 1807.007
transcript.whisperx[7].text 我們先來第一位張志倫委員第二位劉錫廷委員現在進來我們的王鴻薇委員我們現在向正義秘書長張敦漢秘書長
transcript.whisperx[8].start 1811.314
transcript.whisperx[8].end 1816.475
transcript.whisperx[8].text 中央選舉委員會主任委員被提名人游一龍副主任委員被提名人吳柏彥委員提名人比提名人黃文玲
transcript.whisperx[9].start 1834.541
transcript.whisperx[9].end 1842.286
transcript.whisperx[9].text 委員比提名人李立忠委員比提名人蘇嘉鴻委員比提名人蘇志橋委員比提名人陳忠義主任必須謝美玲
transcript.whisperx[10].start 1863.717
transcript.whisperx[10].end 1874.106
transcript.whisperx[10].text 我們行政院林署行政總署培訓考用處處長李花蘇你歡迎
transcript.whisperx[11].start 1888.137
transcript.whisperx[11].end 1895.403
transcript.whisperx[11].text 立法院院會第11屆第4期第16次會議報告交付內政司法及法治兩個委員會審查中央委員會所提出的命令
transcript.whisperx[12].start 1910.723
transcript.whisperx[12].end 1914.604
transcript.whisperx[12].text 兩委員會一位26級辦公廳會以前也已經完成本院各黨團隊被提名人的資格
transcript.whisperx[13].start 1925.309
transcript.whisperx[13].end 1952.296
transcript.whisperx[13].text 事任性所提出的書面問題函請行政院轉致各備提名人經行政院函附各備提名人提出與相關的資料並以檢証於各黨團在案本案審查程序安排在28日、29日兩天一天
transcript.whisperx[14].start 1954.684
transcript.whisperx[14].end 1955.045
transcript.whisperx[14].text 會議分配審查
transcript.whisperx[15].start 1961.484
transcript.whisperx[15].end 1986.661
transcript.whisperx[15].text 本這個會議開始進行前行宣告以下事項先進行被提名人游盈隆先生的說明及答詢依程序由行政院張秘書長及游盈隆先生分配說明後進行詢答
transcript.whisperx[16].start 1988.383
transcript.whisperx[16].end 2003.879
transcript.whisperx[16].text 由榮榮先生撥分全部達成結束後 休訓10分鐘再進行提名人胡柏彥先生的署名與答詢程序與定管一樣 並釋放會議
transcript.whisperx[17].start 2010.325
transcript.whisperx[17].end 2033.473
transcript.whisperx[17].text 會議進行的總統職項與程序分別進行比提名人黃文玲、李立中、蘇家鴻、蘇芝喬、陳宗義說明與答詢答詢的時間出席出席委員會六分鐘內席委員會四分鐘
transcript.whisperx[18].start 2038.835
transcript.whisperx[18].end 2044.402
transcript.whisperx[18].text 本院的委員會議定期時間10點半一至本次會議沒有要處理臨時提案現在我們請行政委張秘書長進行說明
transcript.whisperx[19].start 2065.396
transcript.whisperx[19].end 2092.17
transcript.whisperx[19].text 主席在場的各位委員各位先生女士媒體朋友大家早安今天立法院內政跟司法法制委員會聯席審查行政院所提名的七位中選會委員被提名人本人應邀這個列席報告宣感榮幸選舉罷免跟公民投票都是我國國民重要的參政權
transcript.whisperx[20].start 2093.479
transcript.whisperx[20].end 2118.513
transcript.whisperx[20].text 也是憲法保障人民參與公共事務的基本權利台灣透過了一次次選舉罷免或者是公民投票逐步的深化我國的民主憲政為了貫徹憲法保障民主法治及人民參政的主旨總選會秉持超然中立 恪守中立的精神統籌辦理
transcript.whisperx[21].start 2120.814
transcript.whisperx[21].end 2144.737
transcript.whisperx[21].text 公職人員選舉罷免及公民投票的事務持續鞏固公平公正公開的公共事務環境以確保國民意志的展現因此中選會運作是中華民國實現民主核心的機制以下僅就本次的提名作業做簡要的報告跟說明依照中選會組織法
transcript.whisperx[22].start 2146.496
transcript.whisperx[22].end 2174.398
transcript.whisperx[22].text 第三條第一項規定中選會設置9到11個人其中一人為主任委員一人為副主任委員其他的委員7到9位那這次的提名也是依照中選會組織法來進行提名領選具有法證相關的專業經驗的公證人士來擔任委員中有同一個黨籍的不得超過委員總數的三分之一
transcript.whisperx[23].start 2176.906
transcript.whisperx[23].end 2202.011
transcript.whisperx[23].text 那也跟大家報告跟說明依照中選會組織法的規定中選會除了主任委員跟副主任委員之外其餘經為兼職無給職那這次的提名也依照這樣的規定來進行跟辦理那麼第二個說明是中選會前主任委員李靖勇副主任委員陳昭健委員許惠峰 陳恩明 王韻如
transcript.whisperx[24].start 2203.277
transcript.whisperx[24].end 2218.411
transcript.whisperx[24].text 徐亞芬等六人的任期已經在去年的11月3日屆滿另外委員蒙志成也因為個人的因素而提早請辭所以這一次行政院提名游英龍為委員並為主任委員
transcript.whisperx[25].start 2220.509
transcript.whisperx[25].end 2247.442
transcript.whisperx[25].text 胡柏諺為副主任委員並為委員委員包括了黃文玲女士李李仲先生 蘇嘉鴻先生 蘇紫橋先生等六人那以上這六人的任期會依照相關的法令規定任期會到2029年的11月3日而且委員蒙志成的遺缺將由陳忠義接任任期會到明年的11月為止
transcript.whisperx[26].start 2249.471
transcript.whisperx[26].end 2272.93
transcript.whisperx[26].text 那這次中選會的新任委員提名是依照中選會組織法第三條規定辦理滿足了三個法定的條件第一個滿足了中選會組法第三條第四項的規定提名了具有豐富專業學識或實務經驗的公正人士來進行第二個同一個黨籍的委員也不會超過三分之一在這次被提名人當中
transcript.whisperx[27].start 2274.324
transcript.whisperx[27].end 2302.163
transcript.whisperx[27].text 僅有胡柏諺有時代力量的黨籍蘇嘉鴻教授有中國國民黨的黨籍那陳忠義前立委則是有民主進步黨的黨籍其他的四個人目前僅為無黨籍如果蒙大院通過所有的人事同意權後那麼加上目前現有的四位委員委員的有黨籍的同一黨籍的人數的比例不會超過法定的三分之一
transcript.whisperx[28].start 2303.339
transcript.whisperx[28].end 2324.114
transcript.whisperx[28].text 那第三個經過這次提名作業的竊竭拒絕所有的七位被提名人均無中國戶籍也無外國戶籍或永久居留權也符合了相關的國籍的規範那以下也就這次七位被提名人的學經歷背景做簡單扼要的報告
transcript.whisperx[29].start 2326.991
transcript.whisperx[29].end 2355.059
transcript.whisperx[29].text 那第一位是主任委員 並為委員游盈榮教授那大家對他很熟悉他是台灣民意基金會的董事長過去長期在學術界在東吳大學任教非常多年那在中央的行政經驗他不但擔任過過去行政研考會的副主任委員陸委會的特任副主任委員海基會的副董事長兼秘書長
transcript.whisperx[30].start 2356.874
transcript.whisperx[30].end 2382.131
transcript.whisperx[30].text 也擔任過中選會的委員在政治學比較政治民意與投票行為政黨選舉等領域專業駐有專精那第二位是胡柏彥委員並為副主任委員胡柏彥教授現在是東吳大學法律系的教授專長是憲法行政法過去他也在不同的大學任教
transcript.whisperx[31].start 2383.598
transcript.whisperx[31].end 2410.681
transcript.whisperx[31].text 也曾經擔任過許多中央部會的書院審議會或者是法規委員會的委員那他也曾經擔任過中選會書院委員會的委員對於中選會的業務也是非常的實務上也是非常的了解那第三位被提名人也是過去的資深的立委黃文林律師那黃文林律師的專長是法律及內政
transcript.whisperx[32].start 2412.284
transcript.whisperx[32].end 2437.106
transcript.whisperx[32].text 曾經擔任過第八屆的立委也曾經擔任過多個仲裁協會的仲裁人在程序、主持、爭議處理方面有相當豐富的實務經驗第四位是李李仲教授李李仲教授是由中國國民黨所推薦的被提名人李教授現在是中華科技大學的專任教授
transcript.whisperx[33].start 2438.174
transcript.whisperx[33].end 2458.163
transcript.whisperx[33].text 也是副校長專長是商業跟金融監理的法規公平法跟智慧財產權等多元的領域那他過去也曾經擔任過第七屆公平教育委員會的委員長期投入法學的研究兼具公共治理選務跟獨立機關的實務經驗
transcript.whisperx[34].start 2461.53
transcript.whisperx[34].end 2484.826
transcript.whisperx[34].text 那第五位蘇嘉鴻教授也是中國國民黨所推薦的優秀的人選那蘇嘉鴻教授目前是福音科技大學的專任教授過去在中央他也曾經擔任過海委會國家海洋研究院海洋政策及文化研究中心的主任等職務現在也擔任許多地方政府
transcript.whisperx[35].start 2487.796
transcript.whisperx[35].end 2511.955
transcript.whisperx[35].text 醫療爭議調解委員會跟醫事審議委員會的委員從中央到地方從理論到實務也具有豐富的經驗第六位是舒子喬教授那舒子喬教授是台灣民眾黨所推薦的被提名人那舒子喬教授是現任東吳大學政治系的教授專長是憲政體制選舉制度以及比較政治
transcript.whisperx[36].start 2514.367
transcript.whisperx[36].end 2542.916
transcript.whisperx[36].text 長期研究我國的憲政制度跟選舉制度並著作等身有相當豐富的期刊跟論文那第七位被提名人是陳忠義前立委他目前是桃園市選委會的委員專長是法律曾經擔任升格之前的桃園縣的桃園市長也是立法院第五屆的立法委員資深立委
transcript.whisperx[37].start 2544.181
transcript.whisperx[37].end 2571.059
transcript.whisperx[37].text 在地方不只有行政的經驗也擔任過長期的縣議員的職務具有豐富的中央跟地方的實務經驗相信也能夠為中選會無論是中央或者是地方的選舉事務能夠投注非常多的專業的貢獻那這次中選會的提名作業也感謝國民黨以及民眾黨
transcript.whisperx[38].start 2574.884
transcript.whisperx[38].end 2593.445
transcript.whisperx[38].text 舉薦優秀的人才經過行政院審酌的考量秉持著韓納各黨推薦橫跨朝野背景兼具理論實務以及中央地方經驗這四個原則我們就相關的領域領選了七位
transcript.whisperx[39].start 2594.741
transcript.whisperx[39].end 2615.012
transcript.whisperx[39].text 被提名人加上現有的四位中選會委員也都是學長巨優相信能夠為中選會籌辦選務注入專業全面的規劃跟運作思維持續深化中華民國台灣的民主法治體現主權在民希望
transcript.whisperx[40].start 2616.38
transcript.whisperx[40].end 2645.249
transcript.whisperx[40].text 貴院所有的委員能夠理性審議予以支持 以上報告請各位委員先進指教 謝謝謝謝 感謝張秘書長的說明現在我們開始來進行被提名人游盈隆先生的說明和答詢請被提名人游盈隆先生說明
transcript.whisperx[41].start 2659.629
transcript.whisperx[41].end 2684.209
transcript.whisperx[41].text 王主席各位委員行政院張秘書長各位女士各位先生大家早安大家好我今天非常榮幸能夠以中選會主委被提名人的身份來國會的殿堂來接受各位的
transcript.whisperx[42].start 2686.331
transcript.whisperx[42].end 2715.252
transcript.whisperx[42].text 提問不過一開始我沒有預期到說我還要做報告要做說明不過我簡單的講11月底我接受行政院的提名我是抱持著一個如臨深淵如履薄冰的心情接下這樣的一個提名我知道
transcript.whisperx[43].start 2717.011
transcript.whisperx[43].end 2743.566
transcript.whisperx[43].text 中選會主委的工作是非常的艱鉅的中選會的工作不是常人所能夠理解但是中選會的工作關係到台灣民主的成敗所以承擔這樣的一個角色那是無比的沉重也無比的榮幸
transcript.whisperx[44].start 2747.267
transcript.whisperx[44].end 2751.749
transcript.whisperx[44].text 我是懷抱理想跟使命感而來我希望為台灣民主做出貢獻在目前國內政局緊張政黨高度競爭的環境裡面中選會要如何
transcript.whisperx[45].start 2776.061
transcript.whisperx[45].end 2801.632
transcript.whisperx[45].text 做到讓各黨都能滿意讓所有的候選人能滿意讓選民能夠滿意是一個非常艱鉅的挑戰但我相信如果我獲得大院的同意支持未來我一定會
transcript.whisperx[46].start 2804.282
transcript.whisperx[46].end 2831.329
transcript.whisperx[46].text 堅持絕對的超然中立客觀公正並且專業的精神和能力全力以赴希望中選會一個健全的中選會能夠在大院的支持之下早日的出現在國人眼前讓我們
transcript.whisperx[47].start 2833.166
transcript.whisperx[47].end 2854.518
transcript.whisperx[47].text 我們2026的大選能夠順利成功讓我們2028的大選能夠順利成功中選會是這樣的一個角色我在這裡非常誠摯的也謙卑的要向我們的國會報告並且也請求讓中選會
transcript.whisperx[48].start 2864.349
transcript.whisperx[48].end 2891.091
transcript.whisperx[48].text 人事案早日通過 讓中選會早日上路為大家做事 謝謝大家謝謝 我們現在請登記第一位 牛西庭委員質詢謝謝主席 請備題名人游教授請游教授
transcript.whisperx[49].start 2899.758
transcript.whisperx[49].end 2917.487
transcript.whisperx[49].text 好早安林委員早這個您大部分我們認識游教授都是在新聞媒體上因為這個台灣民意基金會的這個民意調查也算是赫赫有名長時間的滾動提供了政治圈非常多攻打手邊的一個素材那大家在
transcript.whisperx[50].start 2918.726
transcript.whisperx[50].end 2945.287
transcript.whisperx[50].text 這個看到游盈隆教授被列為中選會主委的提名人的時候大家當然是有一些意外也有很多問題想要請教那麼今天很高興有這樣一個機緣可以跟教授來做一下面對面的討論我問的第一個問題就是你應該如何確保啊這個如果有幸成為中選會主委啊因為你平常也評論非常多的一個政治的事務也做民意調查在基金會裡面有職務你怎麼樣確保這之間的分際可以非常的清楚你打算做哪一些的決定
transcript.whisperx[51].start 2948.396
transcript.whisperx[51].end 2973.935
transcript.whisperx[51].text 謝謝牛委員我已經有了相當的覺悟擔任中選會主委也有一定程度的犧牲是要付出的我可能失去了自由我的意思是說失去評論台灣公開評論台灣政治的自由作為一個政治學者
transcript.whisperx[52].start 2975.23
transcript.whisperx[52].end 3004.095
transcript.whisperx[52].text 我作為一個關心台灣的知識分子那樣的一個犧牲是重大的但是為了更高的目的為了更重大的目標我覺得我必須做這樣的歌聲一語雄長不能得見好 所以意思就是說不會再發表相關的評論民意調查等等也會離開基金會的職務是這樣的意思嗎如果大院能夠
transcript.whisperx[53].start 3005.266
transcript.whisperx[53].end 3026.884
transcript.whisperx[53].text 通過中選會主委的人事同意權任命我將辭去台灣民意教育基金會的董事長也辭去董事我採取比法律更嚴格的標準做自我的要求非常好 謝謝
transcript.whisperx[54].start 3028.294
transcript.whisperx[54].end 3056.467
transcript.whisperx[54].text 那麼我們再針對幾個常常我們在中選會這個平台做討論的題目跟教授做一下意見的交換這個目前立法院有很多的委員提案修正公職人員選罷法或者是不在籍投票的各種相關的一個草案那也有這個這個大家的版本不一樣但大部分的版本基本上都是限於所謂的境內移轉投票有關不在籍投票的部分換言之就是透過登記的部分我不見得要舟車勞頓的返鄉
transcript.whisperx[55].start 3057.967
transcript.whisperx[55].end 3086.897
transcript.whisperx[55].text 我可以在就近的投票所去投別的選舉這是在自己戶籍所在地的這樣子的一個投票那我想請問一下被提名人立法院如果修正相關的法令新增了不在籍投票相關的制度限於國內移轉投票請問您會不會忠實的執行立法院通過的法律當然如果立法院通過了不在籍投票中選會只有依法行政全力以赴好 謝謝
transcript.whisperx[56].start 3088.103
transcript.whisperx[56].end 3114.416
transcript.whisperx[56].text 那您覺得在您如果你有機會領導中選會啦您可能需要多少時間來做好境內移轉投票制度的相關準備工作我不知道這項立法到時候在立法院會如何通過整個制度的內容到底是怎麼樣我不清楚但是我也要就最近我從我們中選會
transcript.whisperx[57].start 3117.639
transcript.whisperx[57].end 3139.077
transcript.whisperx[57].text 同仁那里所得到的许多的资讯我深深的感觉不在即投票是世界的潮流也是台湾许多人直觉上对的一个努力方向但是
transcript.whisperx[58].start 3140.732
transcript.whisperx[58].end 3170.098
transcript.whisperx[58].text 當我們在講世界各國很多都採取了這個不在籍投票的時候台灣沒有感覺到自己落後了自己很慚愧我覺得那種心情是可以理解的我肯定那是一個進步的思維可是我們也不能夠脫離現實如果回到我們自己的國家的選舉制度
transcript.whisperx[59].start 3172.025
transcript.whisperx[59].end 3185.677
transcript.whisperx[59].text 我們深入去看很快就會發現不在籍投票牽涉的是非常複雜的選舉的工程尤其是九合一尤其是在九合一地方選舉裡面
transcript.whisperx[60].start 3199.188
transcript.whisperx[60].end 3220.356
transcript.whisperx[60].text 實施不在籍投票就現階段來講肯定是一個災難中選會已經提出來如果在九合一地方選舉辦不在籍投票將會造成將近九千種不同的選票在極端的狀況下所以我覺得這個是
transcript.whisperx[61].start 3224.028
transcript.whisperx[61].end 3245.234
transcript.whisperx[61].text 很重要的一點我們喜歡看天邊的彩霞但不要踩壞了眼前的一大這個玫瑰讓我們的這個傲視世界的台灣選舉然後蒙城教授這個那到底是要執行還是不執行花多少時間準備
transcript.whisperx[62].start 3246.351
transcript.whisperx[62].end 3262.104
transcript.whisperx[62].text 所以我剛剛講原則上我剛剛已經講但是願意執行但需要很多時間準備實際上要通過什麼樣的制度內容目前您知道嗎還是您可以現在告訴我我可以做回應當然這個有很多不同的版本
transcript.whisperx[63].start 3262.684
transcript.whisperx[63].end 3284.121
transcript.whisperx[63].text 這個如果你有幸擔任中學會主委相信還有很多討論的機會但因為時間有限我們還有問最後幾個問題因為我們的執政黨曾經表示如果施行不在籍投票會導致選民投票的信任消失會有作票的風險也曾經說會有讓中國大陸借選更加容易即便我們剛剛講的現在的不在籍投票的版本是國內的移轉投票
transcript.whisperx[64].start 3285.041
transcript.whisperx[64].end 3308.983
transcript.whisperx[64].text 這樣子的一個說法你認同嗎在你領導下的中選會你如何去避免這個選務公信力下降的問題你該如何把這個東西帶領好你真的覺得不再投票會有作票的風險嗎請你簡要回答就好選務行政的公信力是非常重要甚至是最重要的讓選民相信選舉的結果是公正的那但是呢
transcript.whisperx[65].start 3311.833
transcript.whisperx[65].end 3333.844
transcript.whisperx[65].text 實施不在籍投票最大的困難是來自於執行面在可行性我覺得境外的影響等等可能是比較其次比較其次還是在於選務整個在操辦選務過程中遇到的一些新政的困難那你有沒有信心可以逐步的解決我不要講一步到位
transcript.whisperx[66].start 3335.611
transcript.whisperx[66].end 3362.568
transcript.whisperx[66].text 如果立法院提了一個中選會沒辦法執行的一個方案壓垮中選會我也沒辦法在這邊跟您保證說一定就能夠做得好如果這樣的話是不負責任的好 謝謝教授 因為今天時間有限不過我建議你 後面還有很多委員要就教就直接回答這樣子就好了 好吧好 這給你一點點提醒跟建議 祝你今天順利 謝謝
transcript.whisperx[67].start 3366.075
transcript.whisperx[67].end 3371.099
transcript.whisperx[67].text 謝謝我們感謝牛西廷委員質詢 我們請張志倫委員好謝謝主席各位媒體各位官員大家早有請這個中選會主委提名人游盈榮教授請游教授
transcript.whisperx[68].start 3393.646
transcript.whisperx[68].end 3412.842
transcript.whisperx[68].text 好 教授好首先恭喜你成為中選會被提名人也預祝你可以順利當選那教授容我稱你教授那教授過去這個本席對你的了解不管是從這個電視上或是一些民調當中去了解您
transcript.whisperx[69].start 3413.542
transcript.whisperx[69].end 3441.572
transcript.whisperx[69].text 那當然您對這個在去年的時候針對於這個大罷免的亂象你也公開提出這個批評甚至非常誠實的說這是對民主的傷害您的說法是執政黨就是參與發動這場全面性無差別的大罷免企圖奪回國會主導權不僅是台灣民主主流的民意的反對也會被其他民主國家不能接受
transcript.whisperx[70].start 3442.031
transcript.whisperx[70].end 3462.637
transcript.whisperx[70].text 所以這個意思就是說大罷免不是民主之光反而是台灣民主之恥這是您說的嗎是 我講過是 好 那本席在這邊必須要稱讚您就是你願意講真話的風骨本席予以高度肯定那這邊我本席也要特別講在台灣這個民主史上不管是選舉
transcript.whisperx[71].start 3463.997
transcript.whisperx[71].end 3487.444
transcript.whisperx[71].text 罷免或是公投在選舉制度上其實是蠻完整的一個制度可是在罷免跟公投上過去產生出了很多問題尤其在罷免上就您的這個評論來講就是執政黨其實利用了罷免裡面很多的漏洞來去做一些這個政黨政治的一些對決跟一些操作所以本席想要這邊特別跟你請教尤其是在罷免
transcript.whisperx[72].start 3489.105
transcript.whisperx[72].end 3507.984
transcript.whisperx[72].text 這個每一個民意代表當選一年內可不可以執行罷免的這個連署的時候其實這個法是無明文規定的可是會造成這個社會上的一個對立所以本席必須要說選舉投票是一個民主的行為可是罷免它是一個
transcript.whisperx[73].start 3509.164
transcript.whisperx[73].end 3537.713
transcript.whisperx[73].text 政黨的一個對決而且造成社會分裂而且是長期會造成一個情熱的問題投票你投誰大家非常清楚嘛而且這是秘密投票大家不知道你投誰可是罷免如果你沒有去連署的話會造成無盡的情熱啊而且說你沒有罷免我遇到很多民眾跟我講說他就是不想要連署罷免可是被民眾這樣子要求說一定要罷免要去簽連署還有一些攤販跟我講說他如果沒有去連署罷免他會人家會跟他恐嚇說
transcript.whisperx[74].start 3538.613
transcript.whisperx[74].end 3560.431
transcript.whisperx[74].text 你這樣子我的生意讓你做不下去喔所以我覺得在當選一年內去做這樣子的這個罷免的連署喔其實就是現在整個制度上的一個漏洞那我看到你的報告裡面也有想說你未來會倡議說不能去進行這樣子一個動作請問你有沒有一些具體的做法或是未來可能會跟內政部去討論這樣的事情以目前的制度來看這個對於
transcript.whisperx[75].start 3568.07
transcript.whisperx[75].end 3594.737
transcript.whisperx[75].text 罷免的規範是在選完一年之後也就是說當選一年之後才能夠進行罷免但是法律沒有禁止社會對就是說有相關的罷免的言論主委你同意這樣子這個不說言論是大家言論自由可是進行連署的一個方式您自己本身也是不贊成的對吧
transcript.whisperx[76].start 3594.977
transcript.whisperx[76].end 3616.751
transcript.whisperx[76].text 我不贊成連署因為可以倡議那是言論自由那但是如果這個進行連署的話那就會對於我們想培養的這樣的一個成熟的政治文化是有傷的
transcript.whisperx[77].start 3617.959
transcript.whisperx[77].end 3635.172
transcript.whisperx[77].text 謝謝主委謝謝教授教授你講的我覺得其實就是我們的心聲為什麼因為其實當時這個連署的一個過程造成社會分裂而且很多民眾其實被情的恐嚇這樣子的狀況其實非常的不好那也希望說未來你有機會擔任主委的時候也要多倡議這樣的行為變成說謝謝
transcript.whisperx[78].start 3637.854
transcript.whisperx[78].end 3656.091
transcript.whisperx[78].text 那第二個我相信很多委員今天都有在跟你請教就是有關於不在籍投票的一個部分那不在籍投票其實目前其實我覺得這是非常重要因為現在就針對很多在投票所的工作人員他們其實有時候他們現在也是可以不在籍投票是嗎
transcript.whisperx[79].start 3657.892
transcript.whisperx[79].end 3675.62
transcript.whisperx[79].text 所以現在的行之有年就是很多的工作人員其實在投票所的時候他們是可以進行不在籍投票所以本席有看到你的報告裡面寫說未來可行不在籍投票的順序第一個是移轉投票針對限定境內或身份特殊或者是戶籍地
transcript.whisperx[80].start 3676.44
transcript.whisperx[80].end 3697.195
transcript.whisperx[80].text 在外的一些選務人員未來可以來考慮或者是在特定身份的不在意投票比如說這個援助民族或是服勤的警消人員等等我覺得這兩點我覺得非常重要因為第一個很多的公務人員或是警消人員其實他們的工作地跟戶籍地是不一樣的地方所以
transcript.whisperx[81].start 3698.115
transcript.whisperx[81].end 3725.265
transcript.whisperx[81].text 這個部分本席也支持非常強烈支持您這樣的主張那是不是有一個期程說如果是不是可以先通過比如說我們一般的這個公務人員或是警消人員他們可以先來辦理這樣子的一個不在籍投票是不是可以請您回答是根據中選會最近的這個研究跟思考中選會是建議
transcript.whisperx[82].start 3726.646
transcript.whisperx[82].end 3746.421
transcript.whisperx[82].text 不在籍投票先从单一的公民投票开始实施然后逐步的累积经验之后进一步推广到各项选举所以就这个角度来讲我觉得这样的一个态度是神圣的
transcript.whisperx[83].start 3746.969
transcript.whisperx[83].end 3766.956
transcript.whisperx[83].text 是負責任的所以未來是不是能夠什麼時候哪一年能夠有一次公民投票然後在公民投票裡面試行不在籍投票然後我覺得那會是一個很重要的開始
transcript.whisperx[84].start 3767.486
transcript.whisperx[84].end 3790.026
transcript.whisperx[84].text 好 了解 就是先從公民投票先起然後之後可能再就不特定人再來就是可能有進步有機會可以全面好 那我也希望主委這邊加速來實行那最後一個問題其實 針對其實當時我們這個立法院其實有決議一個這個公投的一個主題叫做反廢死
transcript.whisperx[85].start 3791.067
transcript.whisperx[85].end 3813.73
transcript.whisperx[85].text 公投那當時是被中選會來就是否定這樣子的這個題目那因為當時這個議題有對很多民眾來講是非常的重要因為當時大家看到很多的這個殺人事件覺得說這樣現在的現在的民進黨政府就是不願意對現在比如說一些的案件去這個判死刑所以當然民眾覺得很
transcript.whisperx[86].start 3814.591
transcript.whisperx[86].end 3842.329
transcript.whisperx[86].text 不能接受所以當時立法院才有這樣子的一個提案然後沒有想到被當時的中選會給否決那我想要請問主委當然你們否定也沒有當時你們有自己的理由啦那是不是針對這些民眾所關心的重要的這個公投的議題未來是不是有一些可以大家可以溝通的機會而不是說中選會直接把立法院提出的這些公投的主題直接給把它否定掉是 這是一個很複雜的問題我覺得
transcript.whisperx[87].start 3845.164
transcript.whisperx[87].end 3872.537
transcript.whisperx[87].text 未來應該要多做溝通我覺得會比較好否則這裡面牽扯到太多複雜的問題沒有溝通的話引起強烈反彈對社會也不好好 謝謝教授聽到非常開心有機會第一次跟你這樣子面對面的質詢也期待你可以未來有機會可以當我們中選會的主委謝謝你 謝謝
transcript.whisperx[88].start 3878.535
transcript.whisperx[88].end 3899.786
transcript.whisperx[88].text 謝謝我們感謝張志榮委員質詢我們家張宏祿委員我請我們的游主委加油教授
transcript.whisperx[89].start 3908.713
transcript.whisperx[89].end 3922.902
transcript.whisperx[89].text 首先質詢前還是要稱老師好啦好 張委員好游教授是我大學的老師其實我很多的這個
transcript.whisperx[90].start 3926.298
transcript.whisperx[90].end 3946.306
transcript.whisperx[90].text 這個政治學的東西都是游教授教導我的所以今天這樣問我是有點尷尬但是還是要問我想請問一下很多的委員也都有在關切這個不在即投票
transcript.whisperx[91].start 3947.066
transcript.whisperx[91].end 3967.352
transcript.whisperx[91].text 但不在一起投票其實分了很多種大家現在一直在講一直在講其實慢慢的好像聚焦在移轉投票台灣現在大家一直慢慢聚焦在移轉投票其實我們中選會辦的就是選政的工作我們的選務的工作其實都是地方選委會在第一線在辦
transcript.whisperx[92].start 3968.892
transcript.whisperx[92].end 3992.427
transcript.whisperx[92].text 那選政的工作我們就是說我想要請教游教授就是說其實台灣現在已經有部分的移轉投票我們投開票所的工作人員就有移轉投票那如果貿然的
transcript.whisperx[93].start 3994.111
transcript.whisperx[93].end 4020.493
transcript.whisperx[93].text 要大規模的這個移轉投票我個人 我一個很擔心的問題我想不出解方也沒有任何人可以提出任何解方未來如果移轉投票變成是選政的一個改變的話我可不可以指定某些人去某個投開票所我去那邊投票跟開票
transcript.whisperx[94].start 4021.983
transcript.whisperx[94].end 4033.192
transcript.whisperx[94].text 會不會有這種可能發生要看選區吧要看選區如果我為什麼要這樣講會變成買票
transcript.whisperx[95].start 4039.68
transcript.whisperx[95].end 4063.488
transcript.whisperx[95].text 買票的人 我要求你收了我的錢你去特定的投開票所投票我買幾票 你沒有開出來幾票你就是給我跑票未來會發生這種情況如果發生這種情況我不知道各位被提名人你們有沒有解方
transcript.whisperx[96].start 4065.229
transcript.whisperx[96].end 4085.023
transcript.whisperx[96].text 我相信目前都沒有解方啦我不知道教授您的看法我這樣講好了不再急投票我剛剛說的是世界的潮流民主國家採行不再急投票非常多那我們台灣在這方面其實已經落後很久了
transcript.whisperx[97].start 4091.98
transcript.whisperx[97].end 4120.609
transcript.whisperx[97].text 所以要迎頭趕上我覺得在道理上是說得過去的不在即投票你讓許多無法返鄉的人去在他居住地投票這說起來社會上普遍也是會贊成的但是我也同意張委員剛剛所說的這可能會產生很多的問題包括你說的買票
transcript.whisperx[98].start 4122.754
transcript.whisperx[98].end 4140.047
transcript.whisperx[98].text 這是因為我們台灣從來沒有實施過不在籍投票所以我們不知道會碰到什麼情況所以在這樣的情況底下事先當然應該做好非常周全的研究調查
transcript.whisperx[99].start 4142.133
transcript.whisperx[99].end 4167.047
transcript.whisperx[99].text 然後考量各種因素然後再來進行我覺得目前中選會所提出的這樣的一個解決方式我覺得是可行的就是說我們要循序漸進不是一步到位我們一開始就在九合一選舉裡面全面性的弄不在即投票這個是太
transcript.whisperx[100].start 4169.86
transcript.whisperx[100].end 4192.07
transcript.whisperx[100].text 太大膽而且太冒險的作為報復平和不足為訓是不是可以未來從公民投票開始先從那裡開始實施然後逐步的累積經驗然後解決了
transcript.whisperx[101].start 4193.513
transcript.whisperx[101].end 4205.585
transcript.whisperx[101].text 我們社會或者是很多人們的疑慮我覺得這樣子分階段一步一步的走會是比較好的做法我也是這麼認為我覺得我們先從公投先對視
transcript.whisperx[102].start 4210.39
transcript.whisperx[102].end 4228.489
transcript.whisperx[102].text 對勢來移轉投票 為什麼呢我也覺得這個不再急投票很多的國家都這樣做那台灣要不要跟著做我覺得這是一個很崇高的理想我也不反對但台灣有特殊的買票文化
transcript.whisperx[103].start 4229.471
transcript.whisperx[103].end 4248.428
transcript.whisperx[103].text 美國會買票嗎不會吧對不對但台灣這個買票文化我們從報紙上就看得非常的清楚到處都有在買票幾十年來都是這樣那如果我們對人的選舉也實施移轉投票
transcript.whisperx[104].start 4250.117
transcript.whisperx[104].end 4272.243
transcript.whisperx[104].text 我們的對岸中國我跟你講透過大規模的買票這個是對台灣一個非常嚴重的一個災難所以我個人我是認為對全國性的公投事情我們可以先來做做看為什麼我要這樣我必須再說我辦過選舉我是
transcript.whisperx[105].start 4275.958
transcript.whisperx[105].end 4294.054
transcript.whisperx[105].text 縣選委會的總幹事我當了四年從村里長的選舉到總統的選舉我都親自辦過我跟你講 選務的複雜程度啊超乎大家的想像我們連一張選票連那個有汙損或印得不好
transcript.whisperx[106].start 4295.563
transcript.whisperx[106].end 4315.906
transcript.whisperx[106].text 我們要一張一張選票這樣去看從頭到尾看到尾那個每個人壓力有多大如果你要移轉投票我跟你講問題太多了我要光說一個你連投票通知單 你選舉公報他要移轉去那裡 要誰去送到時候他說我沒有收到
transcript.whisperx[107].start 4317.217
transcript.whisperx[107].end 4338.15
transcript.whisperx[107].text 這個有很多技術性的問題所以我必須要說移轉投票不是不行但不能照進照進會把台灣馬上一次垮掉如果一次選舉的不公平大家以後對選委會這個公信力就不在我常講一句選委會
transcript.whisperx[108].start 4340.034
transcript.whisperx[108].end 4356.856
transcript.whisperx[108].text 如果你要辦選舉我多給你人多給你錢很多技術性是可以克服的但公信力是最重要的一件事選務公信力三個字是最重要的所以我還是覺得主委教授
transcript.whisperx[109].start 4358.459
transcript.whisperx[109].end 4375.749
transcript.whisperx[109].text 如果你的看法也是一樣就是從事情先來我覺得應該是先朝這個方向不可以一次太躁進不知道教授的看法我完全同意你的看法我覺得這樣做對台灣是比較好的好 謝謝謝謝我們感謝張宏祿委員接受我們請黃姐的委員
transcript.whisperx[110].start 4395.336
transcript.whisperx[110].end 4399.985
transcript.whisperx[110].text 好謝謝主席我們請游盈隆被提名人加油教授
transcript.whisperx[111].start 4408.376
transcript.whisperx[111].end 4428.723
transcript.whisperx[111].text 好黃委員好是好 邱董事長先跟您請教這個不在即投票其實您剛剛已經有提到一個重點就是說不在即投票雖然世界各地有很多國家在施行但是我們不一定要這樣冒進而且如果直接用九合一大選來貿然的進行的話會是一場災難
transcript.whisperx[112].start 4430.143
transcript.whisperx[112].end 4445.269
transcript.whisperx[112].text 這是您剛剛的論調那我在這邊也想要附和這個論點因為其實大家也知道說選舉的公信力是最重要的那選舉如果我們九合一大選直接開始施行不在籍投票的話您剛剛是說會增加9000種選票是嗎就選票的種類來講是將近9000種
transcript.whisperx[113].start 4452.89
transcript.whisperx[113].end 4481.663
transcript.whisperx[113].text 是的這就是一個非常重大的技術性的問題所以我在這邊想請教的是你們有沒有先算過如果九合一大選只要直接使用不在籍投票會要增加幾倍的經費幾倍的人力多少個投開票所因為我還沒有上任我只是努力的去收集相關的訊息我不知道中選會是不是已經評估出來我目前手邊沒有這樣的資訊
transcript.whisperx[114].start 4482.813
transcript.whisperx[114].end 4508.899
transcript.whisperx[114].text 好那我在這邊先提供一些資訊喔在2021年內政部其實有大概統計過就是說如果這一些就學就業沒有涉戶籍那可能會因為不在籍投票而可能可以投票的人大概第一名是在雙北大概就有37.4萬人那第二名會在台中有26.5萬人第三名是桃園有26萬人第四名是台北有18.5萬人
transcript.whisperx[115].start 4510.479
transcript.whisperx[115].end 4532.57
transcript.whisperx[115].text 那如果這些人通通來申請這個不在籍投票大概就是會增加大概百萬人以上那這個是2021年的數字那台北市的選委會當時也有出來說光是這個投開票所可能就要增加三倍以上那如果現在年底就要來做這件事情的話您覺得可行嗎您就一個選務機關的考量來說選籍
transcript.whisperx[116].start 4538.315
transcript.whisperx[116].end 4559.823
transcript.whisperx[116].text 2026地方選舉是11月28號舉行今天正好1月28號 就是10個月左右我覺得直覺上是不可行的事實上最近中選會也曾經行文給各地方的選舉委員會
transcript.whisperx[117].start 4562.025
transcript.whisperx[117].end 4582.059
transcript.whisperx[117].text 各地方選舉委員會也都回報關於不在籍投票地方的態度沒有一個選委會是同意在這一次採行不在籍投票的所以地方事實上也是挫雷彈
transcript.whisperx[118].start 4583.815
transcript.whisperx[118].end 4613.515
transcript.whisperx[118].text 是嗎因為就我剛剛說的光是台北就說要增加三倍了更不用說其他像是新北台中這一些可能不在籍的人口有大概三四十萬人的這一些選區喔那所以我覺得這當然是一個很大的技術性的挑戰但是話說回來剛剛其實有一句話我其實沒有很認同是剛剛這個有董事長說我們台灣沒有實施不在籍投票跟國際上相比來說是落後的
transcript.whisperx[119].start 4614.255
transcript.whisperx[119].end 4642.064
transcript.whisperx[119].text 那我必須要說其他的國家跟台灣的情況大大的不同啊你不能拿台灣的情況跟世界各地來比啊請問其他國家有中共借選嗎有一些想要試圖來破壞我們台灣民主的這些境外勢力嗎沒有嘛那再來其他的國家有像台灣這樣經歷過這些什麼中立事件等等買票做票的過去選舉舞弊的歷史嗎
transcript.whisperx[120].start 4642.924
transcript.whisperx[120].end 4663.144
transcript.whisperx[120].text 也沒有嘛所以台灣的過去民主的歷史是非常艱辛的我們是這樣一步一步大家靠著人民的信任人民的爭取那我相信游董事長過去也是經過這些民主的事件努力撐起台灣的民主的所以一直拿國外來跟台灣比較我覺得非常的不公平
transcript.whisperx[121].start 4663.664
transcript.whisperx[121].end 4677.66
transcript.whisperx[121].text 那台灣現在需要的是一個非常可信穩定而且有這個選舉公正性的民主制度所以任何的變革我認為都必須要在非常的可信而且公正的基礎上來進行選務的變革沒有不行
transcript.whisperx[122].start 4680.683
transcript.whisperx[122].end 4706.652
transcript.whisperx[122].text 但是前提非常非常的重要因為台灣的民主很辛苦我們是這樣撐起來的所以在這邊還是拜託我們這個游董事長如果要回答說不再投票是國際的趨勢的時候拜託想想台灣自己特殊的歷史拜託想想台灣過去是怎麼走過來的所以不要一味的說要跟國際上來比較這真的不是一朝一夕可以做到的
transcript.whisperx[123].start 4706.952
transcript.whisperx[123].end 4720.846
transcript.whisperx[123].text 那最後會有一點時間我跟您請教這個公投綁大選因為過去有董事長一直都是支持公投綁大選的所以在這邊想請教那如果您未來上任之後您還是支持公投綁大選嗎
transcript.whisperx[124].start 4722.332
transcript.whisperx[124].end 4740.66
transcript.whisperx[124].text 我當然支持公投綁大憲而且也沒有不支持的空間因為法律已經修正了所以我在這邊就要請教的是沒錯因為這個藍白還是強行的又再次通過了嘛那我要請教的是那您要怎麼務實的解決過去2018發生的邊開票邊投票的問題開票到半夜三點的問題以及這些因為人綁事而造成這個沒有辦法好好的討論公投議題
transcript.whisperx[125].start 4751.844
transcript.whisperx[125].end 4778.079
transcript.whisperx[125].text 以上這些問題直接民主是民進黨的核心價值我過去二十幾年來當我是一個民進黨黨員的時候我實際的參與相關的事務無數的民主前輩為了能夠實現公投犧牲奉獻他們的青春生命自由
transcript.whisperx[126].start 4779.409
transcript.whisperx[126].end 4801.982
transcript.whisperx[126].text 所以公投是一個民進黨的核心價值是所有的民主國家應該要追求的是的 我們都認同我們也非常支持公投制度所以我在這邊跟您請教的是如何防範重演2018邊開票邊投票以及開票到半夜三點以及這些可能會影響選舉結果的可能的情況再度出現
transcript.whisperx[127].start 4803.571
transcript.whisperx[127].end 4831.354
transcript.whisperx[127].text 2018年是一個噩夢而且這個噩夢的形成有一些條件支持其中一個那您如何預防未來不會再重演呢這是一個選務機關最重要的工作我可以說明一下嗎2018那一次有十項公投這十項公投選委會公告之後一個多月而已就要投票
transcript.whisperx[128].start 4832.614
transcript.whisperx[128].end 4852.905
transcript.whisperx[128].text 所以造成整個秩序大亂 這是其中一個所以這一次 經過這幾年來朝野的共同體認之後修法所以將公告之後一個月就投票 改成三個月這是一個很重要的改變第二個
transcript.whisperx[129].start 4854.778
transcript.whisperx[129].end 4877.605
transcript.whisperx[129].text 以前辦理那麼龐大的選務一半法律規定一半是要軍公教人員現在也修正成三分之一只需要三分之一所以我在這邊希望您可以承諾既然公投綁大選是您的立場也是您的責任那未來希望你可以承諾在你的任內絕對不會再發生2018的噩夢我們盡力而為這個要請你保證謝謝
transcript.whisperx[130].start 4883.663
transcript.whisperx[130].end 4898.925
transcript.whisperx[130].text 好 謝謝備題名人 謝謝黃建委員好 接下來有請王美惠委員主席男嘉游教授有請備題名人 謝謝
transcript.whisperx[131].start 4905.129
transcript.whisperx[131].end 4917.502
transcript.whisperx[131].text 王委員好你好在這幾天的過程當中我們有看到你的履歷剛才你說到你人家告訴你要做檔門這個節目的時候也有一邊高興
transcript.whisperx[132].start 4925.197
transcript.whisperx[132].end 4947.497
transcript.whisperx[132].text 也有一邊為了理想而走因為在這個過程當中我們的選舉委員會中選會是要有中立的在剛才本席所聽的好歡樂的就是覺得大家都想你長久以來是在民意教育基金會裡面擔任當事長
transcript.whisperx[133].start 4950.834
transcript.whisperx[133].end 4955.083
transcript.whisperx[133].text 剛才有很多委員請教說你可以當時時你說你如果
transcript.whisperx[134].start 4962.05
transcript.whisperx[134].end 4975.673
transcript.whisperx[134].text 這個人事案過 過得馬上死因為我覺得好的理想雖然是夢死 有的人也說你每天都在批評民進黨那是怎麼來做這個因為我覺得有擔當的執政黨裡面
transcript.whisperx[135].start 4987.495
transcript.whisperx[135].end 5010.684
transcript.whisperx[135].text 應該無論他是我什麼人 他是北平什麼人今天我們要做政府單位是看他的認知所以在這裡我保證 我在這裡也是國民黨也是我們的朋友任何一黨都是我們的朋友為了理想 為了建設
transcript.whisperx[136].start 5012.125
transcript.whisperx[136].end 5018.711
transcript.whisperx[136].text 我們都要做法表這是最好的 如果不做朋友 我們也沒辦法不可能說法表當中 你的總選委跟你不共同 不一樣的想法 你就不採納他的意見跟他的想法 大家討論之後 才可以
transcript.whisperx[137].start 5036.987
transcript.whisperx[137].end 5047.465
transcript.whisperx[137].text 有好好的問題出來所以在這個過程當中最重要最重要在那裡大家差不多都說不再舉投票高雄你有說
transcript.whisperx[138].start 5050.014
transcript.whisperx[138].end 5055.615
transcript.whisperx[138].text 可以為公道開始但是在這個過程中你剛才有回答過跟我們是怎麼理會一般人會亂吵吵會這麼多人會開票的時候又有人又要投票因為這種我相信在你的代言之下以後可能不會再來發生也不是可能而已一定不會再來發生
transcript.whisperx[139].start 5077.742
transcript.whisperx[139].end 5092.223
transcript.whisperx[139].text 在不在一起投票的時候有很多人歡樂的就是像我們的孫悟寧原譬如他在黨區做孫悟寧原像我自己來說
transcript.whisperx[140].start 5094.005
transcript.whisperx[140].end 5106.135
transcript.whisperx[140].text 他在當局的補考在當局的 但是他算不領完譬如是在第一樓的票箱第一樓的票箱不是他應該到的地方 因為他有申請嘛但是在這個過程裡面 你覺得他最高興的就是議員都一樣
transcript.whisperx[141].start 5119.859
transcript.whisperx[141].end 5128.343
transcript.whisperx[141].text 市長都一樣縣和里長不一樣他這張票如果沒投出來是人家縣的里長還是他沒投里長大家都知道所以告訴你
transcript.whisperx[142].start 5136.208
transcript.whisperx[142].end 5163.467
transcript.whisperx[142].text 在這裡面我就是說我們教育也好 全國也好我們今天是要講全國的 但是我是批論這個情形給你聽因為我們中華民國的台灣的選舉是大家最近都認為最好的雖然是很古早 但是改進到有夠好的因為我們那些黨議會
transcript.whisperx[143].start 5165.288
transcript.whisperx[143].end 5175.031
transcript.whisperx[143].text 就是我們有一個派出兵在派出兵當中有時候會應用到選舉因為我常常說好的人才認真發表的民意代表我們一定鼓勵他當選但是在這個過程當中不再是投票有時候會去應用到選舉的結果
transcript.whisperx[144].start 5192.675
transcript.whisperx[144].end 5198.517
transcript.whisperx[144].text 所以在這要問教授不再審投票本身跟你說因為有時候選票票數也很多也有現在都回到選票票數也有但是在選票票數你如果在本層第三張很多選票票的人在那裡大他不覺得什麼他如果兇勇去申請一個
transcript.whisperx[145].start 5219.742
transcript.whisperx[145].end 5225.848
transcript.whisperx[145].text 我自己人都沒有在那裡的票檔我今天的票投出來這樣才算閉路投票啦告訴你來會談我所有擔心的事情我們大家來做參考因為未來這可能
transcript.whisperx[146].start 5241.321
transcript.whisperx[146].end 5260.808
transcript.whisperx[146].text 也會逐一去改善來翁委員所擔心的一個秘密投票可能破功出問題這確實是一個問題要去注意另外就是說你一開始的計較說我批評民進黨很多我在這裡向翁委員報告
transcript.whisperx[147].start 5268.907
transcript.whisperx[147].end 5274.112
transcript.whisperx[147].text 我都是九十輪輸 沒特別去批評民進黨我也是批評共產黨 對啦我也是批評共民黨 高師傅我現在你可能 國會有我的意思高師傅我現在是說以我民進黨的 有人說跟你們去提名這一點點要批評你
transcript.whisperx[148].start 5288.886
transcript.whisperx[148].end 5291.388
transcript.whisperx[148].text 我來說民進黨會出的任財不分什麼 不可以說跟他批評我們說我們不好我們就不體面他啊 因為他有他的專財嘛我剛才是說這樣 因為我認為很多人都說過的 欠費到買廢人
transcript.whisperx[149].start 5313.084
transcript.whisperx[149].end 5315.006
transcript.whisperx[149].text 所以我要跟你說的就是有這個生活我相信你也聽到了你說的說 你說的事實但是有的人覺得說有需要
transcript.whisperx[150].start 5327.723
transcript.whisperx[150].end 5332.33
transcript.whisperx[150].text 這樣做嘛這時候我覺得說要讓這個國家愛好像你這個領袖一定很讚的啦我這時候要問你不再只投票你要怎麼去改善本縣兩個
transcript.whisperx[151].start 5345.047
transcript.whisperx[151].end 5347.41
transcript.whisperx[151].text 會擔憂啦 憂及濫捕人如果去到台北 我再跟你說有兩個地方有很多嫁給人 那都沒差那挑剔憂心裡 我才剛才還說如果派出兵
transcript.whisperx[152].start 5359.977
transcript.whisperx[152].end 5365.02
transcript.whisperx[152].text 我們的生活他有辦法用另外一個生活這個票房跟你們的小家庭你們兩個阿嬤去住而已這要怎麼處理這才是最重要的啦跟我是來講
transcript.whisperx[153].start 5375.93
transcript.whisperx[153].end 5377.872
transcript.whisperx[153].text 前幾天我是想問是怎麼邀請你來 因為你有你的專長我認為批評不是壞的 批評可以讓一個人改變他的生活可以做得更好
transcript.whisperx[154].start 5395.288
transcript.whisperx[154].end 5398.891
transcript.whisperx[154].text 這是在我都覺得很關鍵的像我 我有時候也會覺得說我們做得不好應該要怎麼做才對啦來謝謝黃委員的指教 全份了解這個不在即投票 我剛才也已經跟大家報告在這裡再說一次就是說
transcript.whisperx[155].start 5419.181
transcript.whisperx[155].end 5436.827
transcript.whisperx[155].text 不在即投票是一個很複雜的事情不是說發作就去做那是會造成很大的問題像這災難所以要循序漸進中商會有提出一個完整的草案給鄉長
transcript.whisperx[156].start 5438.207
transcript.whisperx[156].end 5459.941
transcript.whisperx[156].text 行政議也通過 交給立法院所以是不是可以用風雄來努力累積經驗來盡量檢討它可能造成的問題包括翁議員你所說的 閉閉投票這種很重要的事情對 剛才我還有兩三個問題我想我這幾天的時間也夠了待會我們再來探討 希望
transcript.whisperx[157].start 5466.032
transcript.whisperx[157].end 5483.496
transcript.whisperx[157].text 我們可以做得更好因為我的想法就是不管你是來自在座的也有很多特等都提出的人才所以我們應該是樂觀青春可以讓中選會加入去做更好的事情不是在這裡說分什麼黨的 怎樣怎樣
transcript.whisperx[158].start 5490.501
transcript.whisperx[158].end 5503.186
transcript.whisperx[158].text 這樣是不應該的 如果要問什麼東西在座的都不可能今天來到這裡 以上謝謝王美惠委員 那要提名人請回交接一下我們這裡陳佩儀委員之行
transcript.whisperx[159].start 5520.031
transcript.whisperx[159].end 5549.723
transcript.whisperx[159].text 好謝謝主席那有請貝提銘仁貝提銘仁好董事長早安我剛剛坐在現場聽了非常多的委員跟您請教了關於不再急投票你的立場非常的清楚就是不再急投票如果貿然實施會是一個大災難那我們就接下來看大家都沒有想到的一個問題我覺得非常的可怕
transcript.whisperx[160].start 5550.182
transcript.whisperx[160].end 5568.566
transcript.whisperx[160].text 不確定董事長你有沒有注意到在去年11月我們立法院在藍白惡意強力主導之下通過了公投綁大選而且他說投票案公告成立後一到六個月就要舉行公投這個是針對人民的部分
transcript.whisperx[161].start 5569.006
transcript.whisperx[161].end 5590.619
transcript.whisperx[161].text 可是呢公投法又有規定董事長他說如果是總統交付或是立法院或是行政院提案的特殊公投案不適用相關的頻率跟日期的規定就是沒有一定要兩年才能辦一次所以我可不可以假設一個情況請中選會想一想也請董事長你考慮一下怎麼回答第一個
transcript.whisperx[162].start 5591.139
transcript.whisperx[162].end 5617.14
transcript.whisperx[162].text 假設今天真的有立法院藍白黨團惡意再提出一個在今年年底大選以前就來提出一個立法院本身提出的公投案然後逼你們中選會因為剛剛主委你一直被提名人你一直說你支持公投綁大選那我就看年底選舉的時候只要立法院藍白黨團對中選會提出相關的公投案不管是什麼主題
transcript.whisperx[163].start 5618.701
transcript.whisperx[163].end 5640.063
transcript.whisperx[163].text 那你們就要處理喔可是你剛剛跟我說你支持公投綁大選這是第一個情況那年底就會有九合一大選加上公投綁大選這是第一個困境第二個困境假設我在想像一現在網路上有非常多人在帶風向跟有相關於情討論相關幕僚可不可以讓我問完讓我問完因為第二個問題比較難
transcript.whisperx[164].start 5642.23
transcript.whisperx[164].end 5656.933
transcript.whisperx[164].text 好 第二個問題第二個問題就是假設有人他發起一個運動叫做我假設年底真的有兩種票可以投一個是公投票一個是九合一大選票可是我只申請移轉不再期投票部分我只申請公投
transcript.whisperx[165].start 5657.834
transcript.whisperx[165].end 5679.416
transcript.whisperx[165].text 的部分可是我不在我那個九合一大選我還是繼續在我的原戶口地方投然後呢我就開始在網路上製造一個輿論叫做是你們中選會為難我你害我只能放棄某一種選票因為可能我一個票在台北一個票在花蓮可是假設我當天又沒有辦法兩地趕著投票那他不去問他自己為什麼要操作這種行為
transcript.whisperx[166].start 5680.037
transcript.whisperx[166].end 5706.11
transcript.whisperx[166].text 他就會問中選會假設您真的當選主委之後這絕對會是一個難題請不要說我可能過度惡意的想像我必須說現在的台灣社會確實有非常多人是刻意要製造混亂製造國內的不團結甚至在這種看起來像民生事務上給相關行政機關你們造成困難就算中選會是一個獨立機構請問被候選人被提名人你怎麼看 謝謝
transcript.whisperx[167].start 5707.851
transcript.whisperx[167].end 5734.902
transcript.whisperx[167].text 首先關於公投綁大選的大是大非的問題他不是大是大非不好意思董事長我認為他是一個相關配套因為辛苦的是我們基層的選務人員就像您剛剛一開始有說他會動到非常非常多選票的規劃從2004年民進黨提出兩個公投綁大選也都很順利的舉行了
transcript.whisperx[168].start 5736.858
transcript.whisperx[168].end 5760.65
transcript.whisperx[168].text 2008年民進黨提出兩個公投綁大選國民黨相對也提出兩個四個案也順利辦完了公投綁大選今天碰到的問題是2018的那一場災難因為那一場災難所以大家想說怎麼樣避免災難重現
transcript.whisperx[169].start 5762.079
transcript.whisperx[169].end 5790.738
transcript.whisperx[169].text 我剛剛跟大家報告說 其中2018年為什麼是獨特的我也希望它是獨特的 不會再發生了那是因為它件數這麼多 十個然後又是在中選會公告一個月多一點的時間馬上進行投票 所以整個選務大亂所以在這種情況底下 我覺得
transcript.whisperx[170].start 5793.272
transcript.whisperx[170].end 5803.322
transcript.whisperx[170].text 抱歉讓我這樣講西方有一句話不要倒洗澡水連嬰孩一起倒掉意思就是說
transcript.whisperx[171].start 5813.82
transcript.whisperx[171].end 5822.482
transcript.whisperx[171].text 公投是重要的跟選舉綁在一起利益甚佳而且過去的經驗也證明說是可以沒有問題
transcript.whisperx[172].start 5823.957
transcript.whisperx[172].end 5848.674
transcript.whisperx[172].text 所以我剛才進一步跟您請教因為我時間有限我等一下會被主席請下台所以我剛剛問假設有人立法院提案就要在今年大選的時候他真的就有公投題目可以一起投然後又有一群選民假設他真的要惡意操作製造台灣內部的分裂跟不團結氣氛那我就申請我的公民投票部分我可能在AD可是我的九合一大選我還是回到我的戶籍地
transcript.whisperx[173].start 5849.034
transcript.whisperx[173].end 5866.814
transcript.whisperx[173].text 然後到最後說是你們中選會害他不得不拋棄其中某一種投票的權利請問我們怎麼預防這個問題我認為現在的困境就是各種荒謬的狀況真的都很有可能在台灣發生從立法院開始到很多不同黨籍的委員尤其是在野黨的委員
transcript.whisperx[174].start 5867.655
transcript.whisperx[174].end 5886.841
transcript.whisperx[174].text 斷了製造非常多分裂跟惡意的這種對話跟論述所以我必須要提出這麼看似很荒謬的問題但是不可能因為只要是立法院提案或是行政院或是總統交付特殊的提案他就可以不用受兩年頻率這個限制是 我也很希望這種很獨特的狀況不會發生
transcript.whisperx[175].start 5889.002
transcript.whisperx[175].end 5905.577
transcript.whisperx[175].text 但如果發生了呢我也希望不要發生那如果發生我也希望不要發生目前這個所以主委您聽被提名的聽懂我的意思了對不對我當然充分了解您意思中選會公告之後三個月目前新的法律規定是這樣子
transcript.whisperx[176].start 5906.4
transcript.whisperx[176].end 5935.477
transcript.whisperx[176].text 對啊所以他只要在下個會期立法院只要有人惡意要操作這個題目我們立法院真的就可以提出一個公投提案然後逼你們中選會表態你們要不要支持這個公投提案讓他走入公投然後年底的時候就公投綁大選我們沒辦法處理政治問題中選會處理行務問題那所以我剛剛說嘛好那假設回到人民我剛剛的意思就是說我陳培餘的戶籍如果在花蓮我就回去花蓮投九合一可是我公投的題目我就把它移轉到台北我住的地方
transcript.whisperx[177].start 5935.882
transcript.whisperx[177].end 5958.645
transcript.whisperx[177].text 那最後我創造一個輿論跟氛圍就是是你們中選會害我不得不拋棄其中一種選票因為就是在去年藍白惡意主導公投綁大選硬要這樣通過所以我認為更多的惡意操作都是有可能的那我基於一個負責任的民意代表我認為我有需要跟被提名先討論這個問題當然相關的惡意的做法可能不是
transcript.whisperx[178].start 5959.065
transcript.whisperx[178].end 5977.607
transcript.whisperx[178].text 在您的想像當中但是我現在就先提出這個疑問當然我相信後續的很多討論跟配套假設在事件發生之後真的要拜託你們假設你們都能夠成功通過被提名然後成為中選會的委員當然這就是你們要頭痛的事情但我想我身為一個民主的後輩過去看您非常多民主的成就
transcript.whisperx[179].start 5977.947
transcript.whisperx[179].end 6000.545
transcript.whisperx[179].text 我必須要在這裡跟您報告過去這兩年來在這一屆立法院確實就很有可能有相關惡意的操作那甚至有相關的支持者就予以配合他真的就會出現我的公投票在台北而我的九合一回到花蓮然後我就說是你們中選會害我只能投其中一種票以上這是我給您的建議好 我們會留意這方面的情況好 謝謝
transcript.whisperx[180].start 6002.891
transcript.whisperx[180].end 6014.934
transcript.whisperx[180].text 謝謝我們感謝陳培宇執行我們現在吳石瑤立委執行謝謝主席辛苦了有請我們有備提名人現在有備提名人
transcript.whisperx[181].start 6030.526
transcript.whisperx[181].end 6032.708
transcript.whisperx[181].text 我想我破題非常清楚當政治越紛擾的時候
transcript.whisperx[182].start 6049.464
transcript.whisperx[182].end 6078.306
transcript.whisperx[182].text 中選會的選務就要越公正超越黨派而且要守憲合法這是每一個從政人員我想未來大家有機會如果通過同意權我們在宣誓的時候的誓詞就是於誓以至誠恪遵憲法效忠國家代表人民依法行使職權所以超越黨派跟守憲合法是重要的下一頁
transcript.whisperx[183].start 6080.321
transcript.whisperx[183].end 6097.775
transcript.whisperx[183].text 我這邊列出來私藥自己認為的成功的選務的三要素他當然要是公正的他也是要效率的他更要能夠變明這是選務成功的三要素我也認為中選會的委員的四個要件獨立行使職權
transcript.whisperx[184].start 6099.116
transcript.whisperx[184].end 6128.102
transcript.whisperx[184].text 基於專業而且要能夠公正更要首先合法我的選務三要素跟中選會委員的四要件我們未來的這個主委提名人游老師應當都認可吧有沒有補充的完全認可好謝謝我要跟您報告思堯在努力的面向不談政治中選會有很多可以做得更好導入design thinking不曉得老師您對於design thinking有什麼樣的理解
transcript.whisperx[185].start 6130.72
transcript.whisperx[185].end 6157.111
transcript.whisperx[185].text Design Thinking沒關係 我來替您說明好了賈伯斯曾經說Design is not how it looksDesign is about how it works也就是Design Thinking不只是大家說設計美學事實上它是以使用者為切入點讓整個事情更有效率而且可以解決問題
transcript.whisperx[186].start 6158.669
transcript.whisperx[186].end 6175.842
transcript.whisperx[186].text 所以我曾經因為台灣設計研究院是思堯在任內催生的一個新設的國家的組織透過設計的導入來攪動我們的公共政策也提升公共服務的效能跟品質所以設計院成立之後我們去跟很多部會敲敲門
transcript.whisperx[187].start 6177.063
transcript.whisperx[187].end 6191.602
transcript.whisperx[187].text 我也帶著設計院去向前主委李敬勇先生敲敲門希望能夠導入Design Thinking讓我們的選務更進步更親民更有效率所以這是我當時2021年拜訪李前主委的時候來下一頁
transcript.whisperx[188].start 6193.106
transcript.whisperx[188].end 6222.486
transcript.whisperx[188].text 而我們改變了什麼我希望未來的中選會的委員們都能夠持續來推動吳思瑤催生中選會CES設計院投入我們改革了選舉的很多的更進步更變明也更美學的這些做法第一個在投票動線的優化左邊是before右邊是after他更讓大家在有限的空間的移動更有效率就是design的導入
transcript.whisperx[189].start 6223.786
transcript.whisperx[189].end 6248.002
transcript.whisperx[189].text 他在選舉公報的優化上 過去很多人說選舉公報要這麼細膩 排版就是非常的unfriendly所以我們找了設計師design thinking以後after是在後面非常清楚讓大家可以一覽所有候選人他的政見相關的學經歷這是設計導入的正向成果 下一頁
transcript.whisperx[190].start 6249.636
transcript.whisperx[190].end 6268.284
transcript.whisperx[190].text 設計導入呢還包括這些標識系統的革新越美越清晰不會永遠都是標凱體不要永遠是中華民國美學而這樣的選舉美學我們獲得世界級的Good Design設計獎獲得亞洲最具影響力的設計獎
transcript.whisperx[191].start 6269.444
transcript.whisperx[191].end 6274.126
transcript.whisperx[191].text 也獲得台灣的經典設計獎所以我希望未來的委員們都能夠持續的來優化這些design thinking導入我們的選務下一頁當然還包括 圈選票處我們真的也讓它更簡潔 更俐落 更好看而不是數十年如一日我們小時候真的投票就是這樣到現在立法院自己的圈選票處還是長一樣
transcript.whisperx[192].start 6294.796
transcript.whisperx[192].end 6308.22
transcript.whisperx[192].text 是可以革新的我想先就這個正面的分享給大家我想主委大家應當都可以如果後續需要思堯很樂意再串聯設計界跟中選會合作主委未來的主委OK嗎我非常的
transcript.whisperx[193].start 6314.122
transcript.whisperx[193].end 6339.323
transcript.whisperx[193].text 因為司法委員剛剛有繞英文我覺得這個就是中選會未來需要的中選會未來需要我是一個進步改革主義者所以任何能夠進步能夠改革的都是好的事情選舉更有效率選舉更美學選舉更變明然後大家對於選舉去投開票所的心情可能也好起來很好
transcript.whisperx[194].start 6341.304
transcript.whisperx[194].end 6365.775
transcript.whisperx[194].text 讓我再講一句我沒有想到我在今天來立法院可以看到這些新的觀念我簡直是Unbelievable所以立法院是有認真問政優質進步的立委而不是只有毀憲亂政的黨團很好下一頁當然不在即投票是今天的重點我剛剛講的選舉的三要素
transcript.whisperx[195].start 6366.195
transcript.whisperx[195].end 6380.567
transcript.whisperx[195].text 公正效率跟便民提案的民眾黨團顯然只著重在降低選民投票成成本的那個便民的思考但是對於公正性跟選舉的效率他會造成選務的混亂甚至影響秘密投票甚至
transcript.whisperx[196].start 6381.247
transcript.whisperx[196].end 6404.083
transcript.whisperx[196].text 也或多或少有境外借選風險增高的疑慮產生對於整個投票民主制度的信任危機所以呢絕對不能先求有再求好我們都支持行政院的版本您剛剛也說公投先行嘛好這是我們共同立場我們希望未來大家一起來捍衛這樣子的做法下一頁而以
transcript.whisperx[197].start 6404.895
transcript.whisperx[197].end 6425.486
transcript.whisperx[197].text 我們行政院去徵詢了這些執行者選務機關的代表對於不在籍投票欠缺配套的狀況之下是all say no21縣市認為現在可以上路的是0個縣市甚至連民眾黨提案黨團他們自己執政的新竹市也認為不可能
transcript.whisperx[198].start 6427.907
transcript.whisperx[198].end 6436.814
transcript.whisperx[198].text 所以呢過半的縣市也都支持行政院的版本公投先行我希望我今天要多花一點時間為什麼要跟主席多爭取一點時間因為民眾黨團的不在即投票他們就是這一屆立法院的壞習慣近乎二讀啊
transcript.whisperx[199].start 6444.841
transcript.whisperx[199].end 6463.439
transcript.whisperx[199].text 委員會沒有討論啊直接不翼而決啊很有可能這週搞不好禮拜五又拿出來表決了所以今天有這個機會跟大家討論我就是希望能夠把這些數據告訴國人告訴社會台灣沒有一個縣市的選務機關認為不在即投票現在可以上路
transcript.whisperx[200].start 6463.979
transcript.whisperx[200].end 6490.61
transcript.whisperx[200].text NO所以我們就要審慎公投先行是多數的共識下頁而我們以投票意願這是我做的其實台灣的選舉投票率都是七成以上對於這些已經有不在籍投票有不同的可能是電子郵票可能是境外投票不同的行使的這些不在籍投票的國家台灣的投票率都是高的
transcript.whisperx[201].start 6491.11
transcript.whisperx[201].end 6509.685
transcript.whisperx[201].text 除了南韓 南韓有他這一次總統大選不同的政治社會經濟的背景所以說不再投票並不是等同於高投票意願的這個思維我要在這裡論述 在下一頁更重要的是 未來這是大家的事情我們要辦一個讓人民滿意的選舉
transcript.whisperx[202].start 6511.072
transcript.whisperx[202].end 6519.34
transcript.whisperx[202].text 而你看看台灣目前選務的滿意度2024年總統立委選舉84%的人民滿意給各縣市的選委會跟中選會拍拍手2022地方選舉滿意度83.2%2020總統立委選舉滿意度86.9%唯一一次就是剛剛未來的這個主委候選人說的
transcript.whisperx[203].start 6537.396
transcript.whisperx[203].end 6557.089
transcript.whisperx[203].text 災難的2018的那一次公投房大學滿意度是28不滿意度高達68.6%這更要讓我們看到人民的聲音好我跳到我最後一個主題好嗎對不起因為有民調專家我還是想問一下這一題主委
transcript.whisperx[204].start 6558.792
transcript.whisperx[204].end 6566.754
transcript.whisperx[204].text 我一直叫您主委他未來的主委你認為在台灣中共競選境外勢力競選的嚴重嗎有這麼難回答嗎我坦白講作為一個嚴謹的政治學者來講我要回答的是說感覺上很嚴重
transcript.whisperx[205].start 6586.178
transcript.whisperx[205].end 6598.011
transcript.whisperx[205].text 事實上政府沒有找到非常多的證據來證明它很嚴重所以我覺得我們應該審慎地去評估這件事情因為主席站起來證據在這裡 證據在這裡看清楚
transcript.whisperx[206].start 6602.446
transcript.whisperx[206].end 6618.943
transcript.whisperx[206].text 法務部公布中國借選的手段境外資金的借選網路選舉的賭盤跟認知作戰假訊息的操作2024年被偵辦的依反滲透法的案件境外勢力借選117件287人這個不是證據嗎 主委 下一頁
transcript.whisperx[207].start 6626.317
transcript.whisperx[207].end 6639.833
transcript.whisperx[207].text 而國民黨黨主席的選舉是自己自家的人跳出來批評的我就不再贅述了中國的借選變本加厲我們就是要欲提從寬料敵從嚴下一頁
transcript.whisperx[208].start 6643.735
transcript.whisperx[208].end 6659.098
transcript.whisperx[208].text 各國都有韓國加拿大澳洲美國印度甚至在美國這種民主的國家中國可以利用製造假駕照的方式大量的協助中國的僑民去投票假駕照的方式
transcript.whisperx[209].start 6659.739
transcript.whisperx[209].end 6686.695
transcript.whisperx[209].text 所以世界各國面對中國的借選都在進行ING的防範主委 我們不要掩耳盜鈴您是民調專家 我問您一個專業的問題現在都有民調禁制期在選舉前公布的日期您覺得現在是幾天 您知道嗎10天您認為如果要調整 同意嗎未嘗不可
transcript.whisperx[210].start 6687.675
transcript.whisperx[210].end 6704.173
transcript.whisperx[210].text 未嘗不可 那調整到幾天是可以接受的幾天好您的我尊重 台灣是民主社會現在國民黨立委要調變三天啦太危險啦 太危險啦我們回到前一頁
transcript.whisperx[211].start 6705.868
transcript.whisperx[211].end 6720.12
transcript.whisperx[211].text 我們看看喔中國受益記者與退休教授捏造9次不實民調遭判刑司法判刑張顯耀先生涉嫌受中國指示發布講民調介入選舉遭起訴這都是司法偵辦換言之為什麼66%民主國家有選舉的民調
transcript.whisperx[212].start 6723.123
transcript.whisperx[212].end 6723.343
transcript.whisperx[212].text 太短
transcript.whisperx[213].start 6747.498
transcript.whisperx[213].end 6770.254
transcript.whisperx[213].text 太短嗎所以就專業論專業我覺得我們今天做一個非常好的示範沒有政黨立場我們超越黨派就專業論專業我們期待每一個委員都是獨立的專業的首先合法的以及能夠公正行使職權的最後一個提醒您提醒主席拍謝下一頁公投的那個這一個
transcript.whisperx[214].start 6773.496
transcript.whisperx[214].end 6779.772
transcript.whisperx[214].text 國民黨提出修公統法要用公民覆決來推翻憲判主委你認為呢
transcript.whisperx[215].start 6781.392
transcript.whisperx[215].end 6809.717
transcript.whisperx[215].text 這會是一個高度爭議性的問題所以我剛剛說中學會委員要守憲合法不問黨派守憲合法是基本的底線憲法78條司法院統一解釋憲法之權憲法訴訟法38條所有的憲法判決人民各機關都要服從而人民就包括公投行使的這些主體人民釋字185號也說明了不容挑戰用任何方式來推翻憲判
transcript.whisperx[216].start 6810.237
transcript.whisperx[216].end 6835.906
transcript.whisperx[216].text 公投法第二條也規定公投的實施要遵循憲法的規定我要提醒大家未來的立法院一再的毀憲亂政要用公投法的修正來凌駕憲法未來這個難題可能會落在各位委員你們在審查公投案的當下我要提醒不看黨派不看顏色守憲合法是我們每一個人宣誓就職
transcript.whisperx[217].start 6838.7
transcript.whisperx[217].end 6847.929
transcript.whisperx[217].text 的誓詞請大家謹記在心好謝謝游老師我今天多次稱呼您主委不好意思僭越了被提名人游盈隆先生我們一起加油謝謝謝謝我們感謝吳思堯委員質詢我們請黃建斌召委質詢抱歉讓你等很久謝謝
transcript.whisperx[218].start 6869.185
transcript.whisperx[218].end 6878.691
transcript.whisperx[218].text 好 謝謝召委 主席我們先有請我們貝提名人游盈隆先生上台貝提名人游教授
transcript.whisperx[219].start 6882.697
transcript.whisperx[219].end 6898.354
transcript.whisperx[219].text 老師好黃委員好老師好 老師因為目前還在這個人事審查階段嘛所以本席就先稱呼為有董事長其實我相信台灣的民眾對你都不陌生你過去擔任過民進黨副秘書長還有海基會副董事長那在政壇的
transcript.whisperx[220].start 6900.052
transcript.whisperx[220].end 6920.889
transcript.whisperx[220].text 經歷非常豐富是我們的大前輩後來擔任台灣民意基金會董事長也經常發布民調跟時事的評論很多見解其實常常引起回響像是去年民進黨發動主導大罷免結果大失敗的時候你就非常直率的說大罷免是惡意的在排除在野黨
transcript.whisperx[221].start 6922.977
transcript.whisperx[221].end 6941.162
transcript.whisperx[221].text 但是它不會被選民所接受然後你更直接的批評說民進黨推動大罷免毫無正當性那可以說是民主之詞那本是要對於你雖然出身民進黨但卻有足夠的勇氣來說出民眾的心聲並且給予我們執政者中肯的這個建議這件事情我們想要你格鬥的這個困難
transcript.whisperx[222].start 6942.322
transcript.whisperx[222].end 6967.967
transcript.whisperx[222].text 那尤其身為現在身為中選會主委的這個被提名人擔任這樣的角色就是必須要能夠超越黨派然後克尊中立那帶領我們中選會發揮本來應該要發揮這個超然獨一的這個功能因為在過去我們中選會的中都被人家下面加一個新被批評是中心的中這個很一樣他不是中於人民是中於執政黨所以
transcript.whisperx[223].start 6969.071
transcript.whisperx[223].end 6983.864
transcript.whisperx[223].text 舉例來說在大罷免期間很多立委辦公室都發韓文去中選會希望能夠提供一些相關的資料那中選會都用行政流程的理由然後一拖再拖就有這些不願意給立委提供給立委的這些資料
transcript.whisperx[224].start 6984.685
transcript.whisperx[224].end 7008.041
transcript.whisperx[224].text 甚至都還沒有經過中選會的這個會議的審議通過就霸團跟這些媒體都有辦法先拿到然後接下來就是在網路上公開然後帶風向那發生這樣的情況就是相對是非常明顯有違反這個中選會這個有違反這個行政中立甚至有泄密這個嫌疑那這也是為什麼中選會長期以來形象一直不好的這個原因之一就是因為他雙標讓他認為他雙標沒有
transcript.whisperx[225].start 7010.822
transcript.whisperx[225].end 7034.471
transcript.whisperx[225].text 做到這個客手超然獨立這個立場因此本席也希望說如果未來老師有順利成為中選會的主委一定要無往出眾那秉持客觀中立勇於對執政者提出建議說真話甚至批評的這個勇氣這是我們大家符合大家對你原本的這些期待那接下來本席要針對溫泉中有關於不在籍投票的議題來跟您討論
transcript.whisperx[226].start 7035.356
transcript.whisperx[226].end 7057.242
transcript.whisperx[226].text 就是你在問卷中的回應是說不在即投票涉及憲法保障人民參政權擴大政治參與意義重大你舉雙手贊成這點本席給予肯定因為你的態度非常清楚明確就是說當你也聽到說不在即投票當然還有許多行政跟技術上的問題需要來克服那
transcript.whisperx[227].start 7058.777
transcript.whisperx[227].end 7082.93
transcript.whisperx[227].text 這個但是問題是身為選務機關的選務主管機關應該要站在守護人民投票權當出發點那努力去解決問題克服困體才對所以因此本席也希望說如果老師你就任主委的時候能夠更進一步積極的來推動不在籍投票特別是針對這個偏鄉還有原住民地區來優先實行那為什麼本席會這樣講因為
transcript.whisperx[228].start 7084.574
transcript.whisperx[228].end 7101.843
transcript.whisperx[228].text 我來住台東 台東就是一個偏鄉我們很多人都在外面工作 求學 很多的原因所以在每次要回去投票要花很多的成本這成本不只是交通上的成本 包括時間上的成本跟主委分享一下 像台北到台東坐火車四個小時
transcript.whisperx[229].start 7102.663
transcript.whisperx[229].end 7119.864
transcript.whisperx[229].text 那到台東市 你要到其他的鄉鎮可能還要一到兩個小時的時間他可能投票就要花一天的時間這個是都會區沒有辦法想像你可能早上出去投票三十分鐘 人家知道有什麼事情在外面講話要花一天的時間這是偏鄉很大很大的投票上的困難那像我們2024年的總統大選
transcript.whisperx[230].start 7121.909
transcript.whisperx[230].end 7148.752
transcript.whisperx[230].text 的投票率我們全台東縣是62%相較全國平均是72%我們才有10%因為先本市才太廣所以會影響到人民投票的意願這是本市支持不再投票最主要原因那希望我們在外工作這些台東的子弟或讀書的學子能夠也能夠享有跟其他人一樣投票的權利不會因為距離影響了投票的意願最後我也要再呼籲一下游董事長就是說
transcript.whisperx[231].start 7149.272
transcript.whisperx[231].end 7172.529
transcript.whisperx[231].text 如果未來立法院審核通過你擔任中選委的主委我想也請你務必要保持過去一直保持的這個客觀中立勇於對執政者提出健眼的這個勇氣並持續地推動不再急投票落實憲法賦予人民的平等參政權也守護我們偏鄉民眾投票的權益謝謝博文請問董事長是不是可以來做到
transcript.whisperx[232].start 7173.469
transcript.whisperx[232].end 7196.17
transcript.whisperx[232].text 當然 我覺得我剛剛已經講了不在即投票是世界的潮流 社會也高度關注身為一個政治學者也好 或者是一個知識分子也好我舉雙手贊成 但是我們還是要非常謹慎面對讓它循序漸進 不要追求一步到位否則會帶來很大的災難
transcript.whisperx[233].start 7197.857
transcript.whisperx[233].end 7215.906
transcript.whisperx[233].text 對我們一起來努力啦 這可是真的 剛才剛才講的那些感受的地方我們剛才譬如要放鬆幾年那可能真的大家沒辦法 可是我也發電量所以我充分了解謝謝主委很正面的答覆 那我們一起加油那謝謝謝謝我們的備體兵人 謝謝召委 謝謝謝謝我們感謝黃建斌召委質詢我們請蘇巧
transcript.whisperx[234].start 7232.392
transcript.whisperx[234].end 7238.257
transcript.whisperx[234].text 書面喔 好來 蘇巧惠 蘇巧惠不在 我們這裡有提名有委員抱歉 我想說我們的夢幻學生沒有看好 召委 我們議會同仁 請我們中選會被提名的人我們的主委我們的游老師 游教授
transcript.whisperx[235].start 7261.781
transcript.whisperx[235].end 7280.467
transcript.whisperx[235].text 首先恭喜你啦被提名人但是我發早上很多人的爭議還是未來在網路上的假訊息包含不再去投票這是未來你當主委你要去推動要去承擔因為過去的九二一
transcript.whisperx[236].start 7282.681
transcript.whisperx[236].end 7298.868
transcript.whisperx[236].text 過去的九合一上上界就是一個亂象那亂象的話你當一個主委你整個選舉的步調以及規劃都要很妥善現在整個中選會在這幾年
transcript.whisperx[237].start 7300.929
transcript.whisperx[237].end 7327.8
transcript.whisperx[237].text 其實我們中選會我也是很肯定因為這幾年真的改變很多 國民黨的心目中真的有徹底改變但是未來不再去投票這是還要好好的去規劃還有在網路以境外的那個假訊息的問題假訊息的問題我認為主委你應該是一個學者出身應該對這個問題 你要怎麼去
transcript.whisperx[238].start 7330.519
transcript.whisperx[238].end 7354.725
transcript.whisperx[238].text 第一時間你要怎樣去耗資怎樣去開發怎樣去下架這是未來你要做的是不是主委這一點你來做說明好不好謝謝吳委員的指教假訊息特別是在網路的時代的新奇是所有民主國家必須面對的巨大的挑戰
transcript.whisperx[239].start 7356.024
transcript.whisperx[239].end 7383.024
transcript.whisperx[239].text 怎麼樣在假訊息衝刺之下能夠維持選務的公正性能夠讓所有的候選人還有選民都能夠獲得最好的保障這是中選會或是任何國家的選務單位必須面對的問題所以未來如果針對這個部分來說我相信中選會同仁
transcript.whisperx[240].start 7385.456
transcript.whisperx[240].end 7395.457
transcript.whisperx[240].text 這方面經驗是非常豐富但是我們面對的是一個瞬息萬變的世界尤其是AI的時代所以
transcript.whisperx[241].start 7397.045
transcript.whisperx[241].end 7422.823
transcript.whisperx[241].text 中選會怎麼樣能夠去面對這個問題中選會自己要有所節目但同時中選會是一個行政單位也需要立法院的強力的支持給予他 賦予他能力 賦予他資源讓他能夠應付這一個高度複雜而且充滿不確定性的年代
transcript.whisperx[242].start 7425.655
transcript.whisperx[242].end 7445.539
transcript.whisperx[242].text 我們主委我們提名人真的你說這樣回答因為早過去中選會每次的選舉大多都是有一些網路的誤導以及境外的私立介入但是那時候很多都是反應中選會但是中選會還是沒作為
transcript.whisperx[243].start 7448.598
transcript.whisperx[243].end 7475.435
transcript.whisperx[243].text 等到要有作為已經選舉完了這對候選人是非常的不公平所以這一點我要拜託我們未來的諸位這點一定要記著雖然是說我們要確保每一個好選人他們的反應例如說第一時間的反應我們都要立即的去處理這樣不做好選人他受到這真的是不公平啦
transcript.whisperx[244].start 7476.878
transcript.whisperx[244].end 7504.243
transcript.whisperx[244].text 這一點 我再請教你 你說不在一起投票這一點 我聽剛才建平委員在執行你也是以我舉雙手贊成嘛那未來實施的時效是什麼時候目前中山會建議是這樣就是說從公民投票開始實施
transcript.whisperx[245].start 7506.408
transcript.whisperx[245].end 7531.953
transcript.whisperx[245].text 從單一的全國性公民投票開始實施之後逐步地累積這方面的不在籍投票的相關的經驗降低它的弊端然後一步一步地推進到全國性的選舉包括總統 立委 甚至到地方的選舉這是需要一個過程 一段時間
transcript.whisperx[246].start 7532.933
transcript.whisperx[246].end 7548.591
transcript.whisperx[246].text 不是立刻就去做事實上中選會也沒辦法決定我們立刻就去做中選會還是要遵循立法院制定的法律然後我們才能夠去依法行政但是中選會
transcript.whisperx[247].start 7550.252
transcript.whisperx[247].end 7573.561
transcript.whisperx[247].text 秉持選務機關的立場也有責任和義務提供給立法院最充分的資訊這個可能面對的困難是什麼問題是什麼我們的建議是什麼我想這是中選會應該去做而且能做的好 謝謝我們當然啦我們中選會大家都期待嘛要有作為嘛
transcript.whisperx[248].start 7574.802
transcript.whisperx[248].end 7584.648
transcript.whisperx[248].text 這是大家共同的期待以及目標吧好 謝謝 請委員那我請行政院秘書長請秘書長
transcript.whisperx[249].start 7591.687
transcript.whisperx[249].end 7597.131
transcript.whisperx[249].text 委員長 委員長 現在全國 因為我看我們的媒體在報導我們的沙石的問題廢棄物的問題 現在是非常的嚴重所以說在這個部分 應該是我們在中央要跟地方政府來做協調
transcript.whisperx[250].start 7613.406
transcript.whisperx[250].end 7625.563
transcript.whisperx[250].text 包含說每一管區 他們都可以說設置一個掩埋場或是你說停台北港 就是說每一個地方也不要說讓砂石運到各縣市 這樣說變成一個
transcript.whisperx[251].start 7628.696
transcript.whisperx[251].end 7656.747
transcript.whisperx[251].text 流竄又是一個亂道的問題所以說這個博文因為現在大家都反映說都是中央規定什麼都推給中央這對我們中央非常的不公平所以我認為行政院應該找地方政府大家來設置要怎樣來處理包含我們的填海照路包含我們的港口
transcript.whisperx[252].start 7657.652
transcript.whisperx[252].end 7674.586
transcript.whisperx[252].text 港口旁邊很多要有我們的後櫃一些大型的工業區這都可以來推動委員跟召委可以給我差不多三分鐘來報告跟說明好不好這三小時的事情可以分三方面來跟大家報告
transcript.whisperx[253].start 7675.669
transcript.whisperx[253].end 7701.155
transcript.whisperx[253].text GPS的部分啦 現在中央的政策是你可以用中央無關系來進步或是環境部的GPS這可以進入 第二有很多地方原本就有用GPS 無關系手機或是車機都可以進入 我們用GPS雙軌制的方式讓能夠載運沙石土方的車子能夠上路去載 這第一部分第二部分剛才委員在追尋的
transcript.whisperx[254].start 7703.575
transcript.whisperx[254].end 7711.761
transcript.whisperx[254].text 戰智場的部分 現在中央加密集在跟地方開會在協調 中央會找從北到南八個戰智場
transcript.whisperx[255].start 7713.533
transcript.whisperx[255].end 7737.822
transcript.whisperx[255].text 包括台北港 台中港 漳濱工業區台南有一部分那高雄這邊也有這個南興計畫的土地我們中央找八個站置場希望地方也能夠進來這個協助管理車可以走 也是有地方可以走這是第二部分第三個部分是就簡正便民的部分以前是這個
transcript.whisperx[256].start 7741.656
transcript.whisperx[256].end 7754.969
transcript.whisperx[256].text 土方出來 要先經過土資廠再到最終處置廠但是土方有些依照法規 也是有加料現在可以從這個出廠直接到最終處理廠又或者是在台中經過分析70%的部分是可以
transcript.whisperx[257].start 7758.172
transcript.whisperx[257].end 7786.225
transcript.whisperx[257].text 賣掉的也能夠就地來做合法的交易我們從這三個面向來做還需要一些時間中央可以跟地方做的合作公共工程也好各種私人的工程也好能夠在合乎法律的規定之下讓土方的全流向的管制穩健的上路還需要一點時間中央地方會合作政府民間也會一起合作依從委員報告
transcript.whisperx[258].start 7788.146
transcript.whisperx[258].end 7811.083
transcript.whisperx[258].text 好 謝謝你說一些可再利用的這種的大家都不要說一味的全部都規定的實施的這樣我就去解決他們的問題不然現在很多你說每次我們都會去都在推動建設包括公共工程甚至也是土方沒有武器處這一點就是他們都來帶我們陳情所以說我今天你 秘書長你有來特別幫你提起
transcript.whisperx[259].start 7817.262
transcript.whisperx[259].end 7838.015
transcript.whisperx[259].text 好 謝謝有什麼歡迎再麻煩委員跟行政院來講我們會繼續拍片 謝謝謝謝我們感謝吳祁銘在這裡要讓我們的秘書長說那刷牌也要刷牌更加到位 更加關心 更加了解因為這個萬事失去 真的很不好來 我們請劉淑萍委員質詢
transcript.whisperx[260].start 7849.241
transcript.whisperx[260].end 7858.113
transcript.whisperx[260].text 好謝謝主席我現在請被提名人主委被提名的游盈隆教授游教授
transcript.whisperx[261].start 7866.1
transcript.whisperx[261].end 7890.239
transcript.whisperx[261].text 郭教授您好您不只是政治學者你本身也曾經當過陸委會的副主委對於兩岸關係的法律體系還有國家忠誠的問題應該都有非常的了解我今天想要請教的一個制度性的矛盾就是陸籍配偶在台灣的戶籍滿了10年之後
transcript.whisperx[262].start 7891.44
transcript.whisperx[262].end 7918.63
transcript.whisperx[262].text 依照兩岸人民關係條例呢他是可以參政的並且呢他也是經過中選會審查了具備了一個候選資格那另外呢但是我們看到是在國籍法依照20條呢他當選後呢在他的就任前或是一年之內呢必須提出放棄中國國籍的證明或是依照其他的法律規定來辦理否則就撤銷資格了那內政部長劉世芳呢他也主張可以參選但就任前
transcript.whisperx[263].start 7921.611
transcript.whisperx[263].end 7925.896
transcript.whisperx[263].text 再用國籍法來去檢驗他的忠誠我認為有三個問題第一個是法律適用的問題兩岸人民關係條例是個特別法在跟國籍法發生衝突時是否應該優先適用呢那內政部 劉部長的說法是否已經有擴張裁量權
transcript.whisperx[264].start 7941.091
transcript.whisperx[264].end 7969.83
transcript.whisperx[264].text 異越法律授權的這個問題那我先把問題說完那請這個被提名人游教授你就等一下再一起回應就我時間有限第二個問題就是參政公平性的問題那一個人可以參選後來當選但是最後是要高度仰賴對岸去要去出具這個文件然後才會被撤銷可是事實上這中共不會發的那是否會侵害到他的是陸配的一個憲法平等保障的這個參政權
transcript.whisperx[265].start 7971.171
transcript.whisperx[265].end 7998.713
transcript.whisperx[265].text 那第三個就是說國家終審如何制度化這是民進黨非常重視的這個問題那終審應該的審核是在選前明確可預期的法律要求之下但是還是說他還會依據選後補件那如果拿不出來就撤銷那因此就想說如果要在最後的這個在這個相關的法律還沒有整合之前你是否認為就終選會應該主動的面對這樣一個法律衝突請劉教授回答 謝謝
transcript.whisperx[266].start 8000.996
transcript.whisperx[266].end 8025.23
transcript.whisperx[266].text 這的確是一個非常棘手的問題對中選會來講一方面來講 站在保障參政權的立場這個中選會會樂見所有的國民的參政權都被完整的保障但是兩岸關係是高度的複雜
transcript.whisperx[267].start 8027.581
transcript.whisperx[267].end 8054.99
transcript.whisperx[267].text 相關的法例到目前為止也沒有就這一點有非常完備清楚的立法所以在這種情況底下就留下了一個模糊的空間這個空間內政部有內政部的主張中選會在這上面幾乎沒有去主張什麼的這樣的一個立場
transcript.whisperx[268].start 8057.076
transcript.whisperx[268].end 8064.139
transcript.whisperx[268].text 但主觀上您作為一個學者作為一個學者我覺得兩岸是一個高度複雜的問題我覺得這個目前這樣的一個問題
transcript.whisperx[269].start 8070.379
transcript.whisperx[269].end 8086.789
transcript.whisperx[269].text 你就是侵犯他的公平參政權嗎這是好幾個價值牽扯在這裡面所以即便是在過去多年以來有國民黨執政時代有民進黨執政時代但通通沒有去根本解決這個問題所以這問題遺留下來這問題坦白講對中選會來講要交給中選會去處理這個是中選會沒這個能力
transcript.whisperx[270].start 8099.051
transcript.whisperx[270].end 8115.258
transcript.whisperx[270].text 所以你們未來就是草獨立機關就不處理了是嗎不知道 我的意思是說那這個部分你應該是行政院這個可能秘書長要去回應那我現在問的一個問題更重要的是那特別法跟普通法的這個問題適用你應該怎麼看法呢
transcript.whisperx[271].start 8117.867
transcript.whisperx[271].end 8140.831
transcript.whisperx[271].text 根據法律學當然我們在座有很多法律專家特別法是優於普通法所以兩岸人民關係條例但是這兩者因為兩岸關係高度的複雜牽扯著非常複雜的歷史的因果這裡面可能會衍生很多很多的問題就選務機關來講選務機關並沒有這種職權去做這個讓
transcript.whisperx[272].start 8147.829
transcript.whisperx[272].end 8168.575
transcript.whisperx[272].text 所有的人滿意的這樣的處理我知道被提名人劉教授你就是現在在一個審查期間這個問題應該是民進黨非常care的問題的那的確也是有它的複雜性但是這個比較全國的人民包括學者專家必須好好去針對這個問題去好好去針對大家的部分要知道它的公平性
transcript.whisperx[273].start 8170.595
transcript.whisperx[273].end 8198.971
transcript.whisperx[273].text 還有再一個問題在於說我們看到的是國內移轉投票的問題國內移轉投票涉及到的是又是一個價值非常重要的涉及到公平的平等權跟自由跟秘密投票然後也涉及到國家的信任那我剛才也聽到是主委是不是您對於一般我們民眾黨是提出來是國內移轉投票請其他的政黨就是尤其是民進黨不要去特別的去汙名化國內的移轉投票那請我想要說那個被提名的你針對
transcript.whisperx[274].start 8200.454
transcript.whisperx[274].end 8204.486
transcript.whisperx[274].text 這國內移轉投票的話 您的態度是支持還是怎麼樣我支持啊
transcript.whisperx[275].start 8205.37
transcript.whisperx[275].end 8229.74
transcript.whisperx[275].text 我完全同意 但是我覺得不是一步到位沒錯 沒錯 我後面繼續問下去那這個部分我知道你也在你的這個對民眾黨的回應報告當中有提到說他必須按部就班因為涉及到國家信任的問題還有安全的這個秘密投票問題那你的意思是說從先從公投開始嘛對不對包括是從到選舉的到原住民的地方到中央是嗎
transcript.whisperx[276].start 8230.68
transcript.whisperx[276].end 8247.722
transcript.whisperx[276].text 好那重點是相關的問題包括說我們就他的一個配套措施就是說他對於秘密投票有被破壞的問題還有對選票保管跟運送的問題那就這兩點你是不是夠可能如果你當中選會的主委你有沒有什麼後續的一個配套措施規劃或是想法初步的現在
transcript.whisperx[277].start 8248.683
transcript.whisperx[277].end 8270.539
transcript.whisperx[277].text 我還沒有上任中選會主委啦不過我已經很努力的在了解相關的狀況我覺得技術上來講應該是可以處理啦否則這個像原住民的這個部分已經有了初步的大院也已經通過了相關的法律來解決這個問題我覺得
transcript.whisperx[278].start 8275.009
transcript.whisperx[278].end 8284.245
transcript.whisperx[278].text 這個基本上是不會有大問題所以是基本上技術性沒有大問題是不是願意要不要做行政機關這部分要不要做的問題我想要講清楚的就是說
transcript.whisperx[279].start 8285.734
transcript.whisperx[279].end 8304.204
transcript.whisperx[279].text 如果不在籍投票立刻就要實施在2026的這一次九合一地方選舉那是幾乎所有的人包括22個這個地方的選舉委員會就是各縣市六都都岐岐以為不可
transcript.whisperx[280].start 8304.944
transcript.whisperx[280].end 8330.412
transcript.whisperx[280].text 所以應該要分階段然後實施之後能夠獲得社會的信心社會的信賴我們再來推展到選舉上面去所以大家可以預期如果您順利當選到中選會主委的話應該會提出中選會的版本半部就版了就實施可行性去進行嗎是我希望這樣子好 謝謝那另外最後一個問題這個主席先
transcript.whisperx[281].start 8333.014
transcript.whisperx[281].end 8351.49
transcript.whisperx[281].text 包容一下好這地方就說您在您的民眾黨的回應的報告當中我提到說呢對於中選會對公投案的審查僅限法律明定要件不涉及到價值判斷不涉及到價值判斷那就是這部分嘛那請問是說如果是針對114年
transcript.whisperx[282].start 8354.113
transcript.whisperx[282].end 8381.015
transcript.whisperx[282].text 在有送到中選會的就立法院的一個有公投案這樣子的案提到的中選會去做審查的時候這一個時候是針對說題目是您是否同意各級法院合議庭法官判處死刑不需一致決的政策呢這個立法院公投案假設您當時是一個中選會的主委您對於這樣子的一個案子是否能夠成案您的看法是怎麼樣
transcript.whisperx[283].start 8382.376
transcript.whisperx[283].end 8395.759
transcript.whisperx[283].text 我觉得那一个案子对中选会来说我事后了解中选会承受了空前巨大的压力要做出一个正确的决定是非常困难的
transcript.whisperx[284].start 8396.584
transcript.whisperx[284].end 8426.071
transcript.whisperx[284].text 但是我們也要注意到中選會不是立法院提出了前部否決中選會也同意也處理了河山研議公投是的所以有一個通過一個不通過我相信上一屆的中選會委員會有他們的相當完整的思維但是主委被提名人我是問您的看法我是問您的看法
transcript.whisperx[285].start 8426.491
transcript.whisperx[285].end 8452.916
transcript.whisperx[285].text 我的看法對 這個議題我覺得這是一個非常困難的問題您這樣狀況是 您的初步判斷因為這涉及到的是在程序上面這部分你是指的 劉委員我再把題目說一遍 您是否同意各級法院合議庭法官判處死刑不需一次決之政策那這個部分是讓民眾去決定
transcript.whisperx[286].start 8454.907
transcript.whisperx[286].end 8479.603
transcript.whisperx[286].text 所以他如果過程當中的程序上面並沒有違反的話應該是讓民眾去決定公投的意思就是在這樣子沒錯 我充分了解你的意思而這正好也就是觸及了或凸顯了目前台灣司法審查權跟直接民選 直接民主之間的衝突
transcript.whisperx[287].start 8481.806
transcript.whisperx[287].end 8509.254
transcript.whisperx[287].text 所以這個問題到目前為止還社會還不是完全了解但是我覺得社會可以廣泛的去討論是不是公民投票的結果不能抵觸憲判這是一個很嚴肅的憲政的問題我覺得社會可以去討論但是上一屆的這樣的一個裁決我現在也算半個當事人我不便表達意見
transcript.whisperx[288].start 8510.151
transcript.whisperx[288].end 8536.947
transcript.whisperx[288].text 好 這樣好 謝謝至少我覺得這個被提名的劉教授您提出出來之後您知道在現在在審查期間包括也是你過去的在民進黨的黨員後來你退黨但是你就知道說你自己有一個這個學者的價值這個風範我是覺得已經建立起來就是有一個高度肯定但我希望說您如果被立法院同意的話你就繼續的在這個位置上面就是在跳脫到政治堅守到行政中立
transcript.whisperx[289].start 8537.347
transcript.whisperx[289].end 8565.251
transcript.whisperx[289].text 然後也重建中選 各界對於中選會的這樣一個信任因為大家都覺得中選會那個中是中於執政黨的那個中然後也落實到法定選務然後保障人民的實質參與這對你的期許這一點請委員放心好 謝謝游盈隆就是游盈隆 不會改變好 我們期待大家一起有目共睹期待OK 謝謝謝謝 感謝劉淑檳委員質詢我們王宏威委員
transcript.whisperx[290].start 8572.011
transcript.whisperx[290].end 8577.399
transcript.whisperx[290].text 好謝謝主席我請我們被提名人游教授加油教授
transcript.whisperx[291].start 8583.083
transcript.whisperx[291].end 8604.505
transcript.whisperx[291].text 好 游教授辛苦了我們委員好可以看到今天包含就是我們整個審查會裡面包含我們國民黨的委員對游教授也有相當多的肯定那我想請問一下因為游教授過去除了是政治學教授還有民調
transcript.whisperx[292].start 8605.426
transcript.whisperx[292].end 8633.022
transcript.whisperx[292].text 那當然對於政治也有很多評論而且你過去長期當這個政府的烏鴉執政黨的烏鴉那譬如說在去年的大罷免的時候你有很多的評論你的評論是大罷免是台灣民主之恥而且你曾經痛批有兩大戰犯死不認錯就是包含民進黨黨團的柯建民總召還有沈伯陽委員
transcript.whisperx[293].start 8634.443
transcript.whisperx[293].end 8657.7
transcript.whisperx[293].text 那你有提到就是大罷免是災難性的民主內戰那當然其實你的評論也不止於此所以你這一次在被提名的時候外界其實有很多人是驚訝的那甚至有一種說法是說你可能可以得到在野黨委員的票數但是民進黨內部很多人對你有意見
transcript.whisperx[294].start 8658.661
transcript.whisperx[294].end 8681.129
transcript.whisperx[294].text 所以您認為在這一次的整個的提名的表決過程裡面你目前評估你可以得到民進黨全數的票數同意你嗎這部分我不敢去評估不敢評估 所以有可能會有人跑票
transcript.whisperx[295].start 8682.009
transcript.whisperx[295].end 8699.439
transcript.whisperx[295].text 我不知道好 那另外請教一下因為我剛剛特別提到了一些大罷免在這個過程裡面很多人就開始談到一些我們法律跟一些制度上的問題在之前我們通過了就是在聯署要付身分證 銀本
transcript.whisperx[296].start 8700.885
transcript.whisperx[296].end 8716.759
transcript.whisperx[296].text 民進黨政府有來提出復議但是呢並沒有拿去釋憲所以這個應該已經是可以確定的這個行政院也沒有拿去釋憲然後我想請問一下我們還有一個版本就是呢
transcript.whisperx[297].start 8717.299
transcript.whisperx[297].end 8738.212
transcript.whisperx[297].text 加一版本就是你的被罷免票數要多過就是被罷免要多過你之前之前的當選的票數才能夠確定被罷免那我不曉得游教授你對於這一個的修法版本你個人的意見是什麼 你同意嗎謝謝委員 我的看法是這樣第一個
transcript.whisperx[298].start 8748.14
transcript.whisperx[298].end 8762.371
transcript.whisperx[298].text 家父身份證這個是加嚴罷免權的刑事坦白講在某個程度上我是贊成的因為全世界各國國會議員是沒有什麼國會議員罷免制度的
transcript.whisperx[299].start 8767.813
transcript.whisperx[299].end 8786.053
transcript.whisperx[299].text 沒錯啊所以就這個部分來講我純粹基於學者的立場我是覺得加嚴我是可以同意的那第二個就立委提罷免同意票需高於當選票我覺得這兩個不能夠相
transcript.whisperx[300].start 8787.722
transcript.whisperx[300].end 8797.087
transcript.whisperx[300].text 不能夠不能相提並論對 不能相提並論所以你對於加1的版本你個人有疑慮
transcript.whisperx[301].start 8798.26
transcript.whisperx[301].end 8824.273
transcript.whisperx[301].text 我覺得那個不合理好 你覺得不合理好 因為我們今天是審查必須把一些就是我們現在修法的過程要就教於你另外我看到你回答就是我們立法院各黨團的就是有關於罷免的部分我們在罷免的過程裡面有很多的不合理其中有關於是政治獻金因為我們自己是身為被罷免人
transcript.whisperx[302].start 8824.833
transcript.whisperx[302].end 8850.707
transcript.whisperx[302].text 那因為我們是被監督的對象但是相對在政治獻金上就出現了一個極不平衡的狀態如果在選舉裡面不管是多少人參選每一個人都是受到政治獻金法的一個規範但是我們在這一次被罷免裡面其實整個的政治獻金是非常非常混亂的
transcript.whisperx[303].start 8852.729
transcript.whisperx[303].end 8873.566
transcript.whisperx[303].text 我看到你的回答是說你也認為即便是罷免者包括領銜人也好或罷免團體他的政治獻金也應該受到一定的管理和規範所以我想請問你這個部分你要不要再講一下就是有關於政治獻金的規範你個人的看法是怎麼樣政治制度是嚴禁的
transcript.whisperx[304].start 8878.448
transcript.whisperx[304].end 8893.165
transcript.whisperx[304].text 不是從一開始就完美無缺所以經過不斷的實踐實驗之後該修的是應該要修我個人的意見是被罷免
transcript.whisperx[305].start 8894.775
transcript.whisperx[305].end 8918.224
transcript.whisperx[305].text 的人要受到政治獻金法的限制但是提罷免的人目前沒有任何的這方面的沒有任何規範所以我覺得未來是可以考慮修法雖然政治獻金法的主管機關並不是中選會但是這涉及了選務選舉跟罷免的公平性
transcript.whisperx[306].start 8918.924
transcript.whisperx[306].end 8942.193
transcript.whisperx[306].text 的確 因為這樣所以我才表示意見好 所以你也認為這個應該修好 另外一個在這次罷免裡面有一個完全回憶於過去的做法這次中選會也被我們認為是極為不中立而且有政治辦案之嫌就是有關於在聯署告發聯署 錯假聯署的時間
transcript.whisperx[307].start 8946.114
transcript.whisperx[307].end 8957.197
transcript.whisperx[307].text 過去事實上去年大罷免並不是第一次也不會是最後一次但是中選會過去歷次針對有關於罷免的錯假連署每一個包含韓國瑜 王浩宇 陳柏惟 黃婕 所有的
transcript.whisperx[308].start 8966.599
transcript.whisperx[308].end 8992.605
transcript.whisperx[308].text 都是在投票之後然後去做告發每一個都是在投票之後去做告發唯有一次例外唯有一次例外就是在去年的大罷免大家可以看到去年大罷免整個去告發錯假連署然後去偵辦錯假連署大概都是史上這個最為激烈的一次那這中間就是跟中選會的告發時間有關
transcript.whisperx[309].start 8995.686
transcript.whisperx[309].end 9011.218
transcript.whisperx[309].text 那到底這個告發時間應該是在聯署期間呢或者是在投票之後不要去影響最後的罷免結果其實應該要有一套制度的但是中選會當時就是完全違反過去的做法當然就被我們認為說這個是有政治辦案的嫌疑所以這個就是中選會的業務了
transcript.whisperx[310].start 9022.526
transcript.whisperx[310].end 9046.744
transcript.whisperx[310].text 所以我想請問 我們主委被提名人如果你擔任主委 針對未來夾是有這個連署 錯假連署其實這個連署還不只是罷免 還有選舉也會有這個你是不是應該建立一套 一個可長可久的制度而不是隨著不同的情境而改變
transcript.whisperx[311].start 9049.793
transcript.whisperx[311].end 9066.523
transcript.whisperx[311].text 對我來講這個時候要回答這個問題的確是困難的怎麼會困難我還是要回答這個問題這個一點都不困難吧我還是回答這個問題我自己也參選過所以我也知道其實選舉期間為了避免影響選舉
transcript.whisperx[312].start 9068.467
transcript.whisperx[312].end 9097.258
transcript.whisperx[312].text 即便有嫌疑人涉嫌犯罪检调司法单位也都是事后侦办事前也有一些但是基本上不会这么做所以我不了解大坝棉去年实际的状况他们是怎么样做成决定我不了解那是一页沧桑史我觉得事后可以再去检讨改进
transcript.whisperx[313].start 9098.116
transcript.whisperx[313].end 9109.05
transcript.whisperx[313].text 我特別指出這個這個其實完全是技術性的竊選完全是技術竊選有非常多種因為我時間到了不耽誤下面時間謝謝謝謝我們感謝王宏威委員資訊我們現在習新穎委員
transcript.whisperx[314].start 9124.636
transcript.whisperx[314].end 9129.988
transcript.whisperx[314].text 好 謝謝主席我們請這個主委被提名人請阿佑教授
transcript.whisperx[315].start 9137.951
transcript.whisperx[315].end 9155.406
transcript.whisperx[315].text 这个我们游教授好那本席想请教您这个您应该知道现在AI时代的来临那AI的身为技术也已经成为全球民主的威胁了
transcript.whisperx[316].start 9156.207
transcript.whisperx[316].end 9183.176
transcript.whisperx[316].text 那您被提名为这个中选会的主委所以今天本席的质询要为我们的民主宪政找到疫苗那我们台湾民主的选举绝对不能被破坏也不能被不信任台湾的民主如果被破坏那就不战而亡这点您认同吧完全赞同对 所以近年来AI深维技术您
transcript.whisperx[317].start 9184.617
transcript.whisperx[317].end 9203.694
transcript.whisperx[317].text 這個是不是有所觀察或者是您的了解是如何現在全球民主都受到AI身為技術的威脅很多國家都發生過類似的案例您有沒有一些體會或觀察的心得當然有我覺得
transcript.whisperx[318].start 9204.875
transcript.whisperx[318].end 9218.896
transcript.whisperx[318].text AIA所帶來的新的時代假訊息的衝刺氾濫這是所有的民主國家必須要去面對的而且是一個挑戰也可能是一個噩夢但是應該要嚴正以待
transcript.whisperx[319].start 9221.007
transcript.whisperx[319].end 9237.232
transcript.whisperx[319].text 对 那现在我们的选罢法的机制大部分是事后追究责任那没有办法挡住选前特别选前24小时 48小时的这种假讯息的洪水
transcript.whisperx[320].start 9238.012
transcript.whisperx[320].end 9267.01
transcript.whisperx[320].text 针对这一块本系想请教您是否支持您如果就任中选会主委之后能够主动推动这个选罢法的修订应该要纳入一些预防性的条款例如强制要求一些平台他一定要标记标记我这个平台展现出来的影片或是照片图像他是AI生成的内容而且
transcript.whisperx[321].start 9267.91
transcript.whisperx[321].end 9295.658
transcript.whisperx[321].text 也要賦予中選會針對經過鑑識是身為的影音或是圖像呢有權下令做緊急處置針對這一塊您的看法是我的看法是這樣中選會只是一個不到60個人的一個單位長期以來這個努力於顯霧的行政那對於這一個
transcript.whisperx[322].start 9298.639
transcript.whisperx[322].end 9315.652
transcript.whisperx[322].text 當前這麼巨大的一個時代的巨變所衍生的這些問題恐怕不是中選會單獨可以承擔的當然…所以我本席第一個主要的是說你如果擔任主委你是不是你可以推動一些修法
transcript.whisperx[323].start 9316.472
transcript.whisperx[323].end 9339.066
transcript.whisperx[323].text 有法依據法令那相關單位就可以來進行那你中選會是很重要辦選務必須要公平公正甚至你要讓整個的選舉過程合乎民主程序所以您是否會主動推動選罷法的修訂納入針對現在AI身為的一些預防性條款
transcript.whisperx[324].start 9339.85
transcript.whisperx[324].end 9354.423
transcript.whisperx[324].text 我覺得這是義不容辭會嘛 對應該這麼做但是必須要建立在這個非常好的扎實的研究的基礎上面然後才能夠提出來
transcript.whisperx[325].start 9356.885
transcript.whisperx[325].end 9382.496
transcript.whisperx[325].text 當然 但是現在很多實務上非常的需要剛剛您也已經有稍微提到就是說整個的修法如果只靠中選會可能會遇到相關部會互踢皮球我想您大概也有預期所以本席也想請教您上任之後如何確保您跟NCC速發部的一些實質的合作
transcript.whisperx[326].start 9384.439
transcript.whisperx[326].end 9411.067
transcript.whisperx[326].text 我們主觀上當然是願意的就是很多事情事實上就是跨部會必須要去共同面對的那是否願意發起跨部會的這種專案小組那來制定一套可操作的這個預防機制而不能讓我們整個民主選舉民主制度的這個防護網呢最後被破壞在中選會的職權範圍內
transcript.whisperx[327].start 9413.283
transcript.whisperx[327].end 9428.344
transcript.whisperx[327].text 該怎麼做就怎麼做而且要全力去做好 這個大原則方向很好那現在就是說您如果就任後整個的修法如果來不及可是
transcript.whisperx[328].start 9430.015
transcript.whisperx[328].end 9457.33
transcript.whisperx[328].text 馬上選舉就到了這個AI的假訊息爆發怎麼辦那中選會會不會有一些行政備案譬如說透過行政命令要求平台在選舉期間加強審核以及跟事實查核中心進行24小時的熱線等等這些問題我猜您大概還沒想過據我知道這個中選會這方面已經有一套做法
transcript.whisperx[329].start 9458.371
transcript.whisperx[329].end 9466.908
transcript.whisperx[329].text 就是说上次我们才质询我们的召委王召委也很认同的我不知道中选会送来了没
transcript.whisperx[330].start 9468.726
transcript.whisperx[330].end 9487.695
transcript.whisperx[330].text 我不曉得中選會送來沒有我現在是被提名人對 沒關係那您就表達您的立場我覺得就這個部分來講所謂身為的這些照片這些影響它是直接影響到選民跟候選人所以
transcript.whisperx[331].start 9488.976
transcript.whisperx[331].end 9505.921
transcript.whisperx[331].text 中選會能夠做的大概是怎麼樣在第一時間降低它的傷害而不是根本上解決這個假訊息的問題中選會要主動積極建立這個綠色通道讓這整個能夠不受影響因為那樣的一個問題的存在是
transcript.whisperx[332].start 9506.821
transcript.whisperx[332].end 9535.966
transcript.whisperx[332].text 跨政黨的噩夢不是只有哪一個特定政黨對 我們不是為特定政黨這個選舉的公平公正很重要那主委 所以這個AI的偽造像洪水猛獸我們希望預防勝於治療那中選會一定要主動修法不然我們的民主會淪為科技戰場的犧牲品這一塊我們希望如果您能夠順利擔任主委的話這個部分一定要落實而且堅持住好不好
transcript.whisperx[333].start 9536.246
transcript.whisperx[333].end 9547.357
transcript.whisperx[333].text 我們嚴正以待 嚴肅以待謝謝謝謝我們感謝習慶雲委員執行我們家葉研資委員麻煩請那個游教授游教授
transcript.whisperx[334].start 9566.704
transcript.whisperx[334].end 9590.549
transcript.whisperx[334].text 右岩好右教授好 這樣跟右教授請教一下在我們選罷法裡面有規定如果要罷免的話要一年之後才能夠進行那你覺得當初選罷法會這樣子規定的原因是什麼為什麼不是立刻選完之後就可以搞罷免一定要一年後我猜想立法者大概也意識到不要讓當選完之後立刻面臨
transcript.whisperx[335].start 9592.193
transcript.whisperx[335].end 9611.123
transcript.whisperx[335].text 當選人被罷免的情境不要說這個讓人家輸不起就搞罷免應該是這樣吧總是要讓人家做個一年看看做得好不好再決定要不要罷免但是在這個李靖勇前主委在這邊我也問過他一樣的問題他說沒有不可以
transcript.whisperx[336].start 9611.992
transcript.whisperx[336].end 9633.778
transcript.whisperx[336].text 現在的法律是沒有不可以換句話說如果我選上了輸給我的人輸不起他可能覺得說在選舉過程當中有什麼失誤或他覺得他想要再拚翻盤的機會他在敗選的隔天他跟他的團隊就可以來搞罷免這個是我們現在法律規定就是這樣嗎您的看法
transcript.whisperx[337].start 9635.23
transcript.whisperx[337].end 9659.813
transcript.whisperx[337].text 我看怎麼詮釋啦我覺得選舉結束之後如果有國民不滿選舉結果不滿當選人所以他會對他講出很多負面的話說要罷免等等等等那是屬於言論自由的範圍言論自由當然都尊重但是如果是由敗選的那一方或其政黨
transcript.whisperx[338].start 9660.794
transcript.whisperx[338].end 9681.628
transcript.whisperx[338].text 在背後煽動發起的你覺得這有符合民主的常態嗎因為以目前的法律的規定事實上也是一年之後才能夠禁止罷免像中選會才能夠可是問題是輸的人他可以在輸的隔天就開始規劃 煽動然後搞大罷免
transcript.whisperx[339].start 9682.228
transcript.whisperx[339].end 9709.986
transcript.whisperx[339].text 我們去年看到的狀況就是這樣雖然民進黨嘴巴不講是他們發動的但柯建民總召就很誠實嘛他在接受媒體訪問的時候就說在投票的隔天還是隔兩天就去找過賴總統啊這在他媒體訪問公開講的啊怎麼透過罷免去扭轉國會的席次嘛在我們那一區包括我們國民黨很多立委的選區都一樣啊發動罷免推動罷免最用力的就是輸的那一方嘛我那一區就是這樣啊
transcript.whisperx[340].start 9710.831
transcript.whisperx[340].end 9729.608
transcript.whisperx[340].text 他的我在那個罷免說明會我有公開資料啊他輸給我的那個立委的服務處主任沒多久就成立了一個就加入一個這個罷免的社團在推動然後不然就是想要取而代之的民進黨的人主要在推動嘛那這是民主常態嗎你覺得是嗎
transcript.whisperx[341].start 9730.928
transcript.whisperx[341].end 9744.354
transcript.whisperx[341].text 當然不是 這是政治問題啦對啊 那問題是法律規範不嚴謹或中選會的按住就會造成這樣反民主的狀況出現嘛所以如果說您當主委當然中選會是辦選務的機關但您也是洞見觀瞻啊
transcript.whisperx[342].start 9749.556
transcript.whisperx[342].end 9777.248
transcript.whisperx[342].text 如果是您的話您覺得要怎麼去結合您的未來的職務讓這種反民主的狀況繼續發生我們只能夠依法行政就中選會的角度來講但是以我作為一個政治學者的角度來講我長期以來反對在國會議員的層次立委來存在一個罷免制度因為全世界先進民主國家沒有哪一個國家的國會議員
transcript.whisperx[343].start 9779.502
transcript.whisperx[343].end 9805.255
transcript.whisperx[343].text 美國的聯邦參議員 眾議員當選之後面臨被罷免沒有的 制度上就不存在這種可能性但是台灣也許這個就是說在孫中山先生的思想底下然後去制定的選舉罷免創制復建那個那個是這樣子因為我們國家不可能沒有罷免因為走到這一步不可能沒有罷免但是
transcript.whisperx[344].start 9805.935
transcript.whisperx[344].end 9830.98
transcript.whisperx[344].text 應該是怎麼去完善罷免的制度比如說現在因為罷免的門檻比較低它只要兩成五所以就會讓選輸的人覺得有機可乘怎麼透過大罷免去扭轉剛剛產生的民意這就是我覺得制度造成的漏洞但是大罷免結果其實對社會非常傷害像我們那一區就出現非常多的對立包括家庭
transcript.whisperx[345].start 9832.558
transcript.whisperx[345].end 9858.648
transcript.whisperx[345].text 長輩跟子女之間也因為立場不一樣罷免的仇恨的煽動彼此不和甚至有女兒離開家庭都有我覺得這個是當初發動大罷免的人他可能沒有顧慮到那麼多但這絕對不會只是政治的問題這是整個社會的問題它會影響到整個社會因為我覺得這個事情是非常嚴重沒有正當性的罷免那時候罷免我的被推出來的領先人用了一個理由
transcript.whisperx[346].start 9859.699
transcript.whisperx[346].end 9868.583
transcript.whisperx[346].text 2023年葉元之怎麼樣怎麼樣所以要罷免葉元之我2024才做立委就是說因為剛選完就要搞罷免他也找不出什麼理由他就是這樣隨便亂講這個就是罷免制度的漏洞
transcript.whisperx[347].start 9872.186
transcript.whisperx[347].end 9889.531
transcript.whisperx[347].text 我們對未來的主委或是現在的游教授充滿了期待覺得到時候如果在一些法令的解釋 詮釋甚至改革上面希望說您可以更積極的去讓我們的台灣更民主 更健全我一定會這麼做好 謝謝
transcript.whisperx[348].start 9899.305
transcript.whisperx[348].end 9920.845
transcript.whisperx[348].text 謝謝 我們感謝葉延之委員質詢在這被提名人游一龍先生之說明跟答詢已經結束了被提名人游一龍先生可以先離席
transcript.whisperx[349].start 9922.298
transcript.whisperx[349].end 9931.549
transcript.whisperx[349].text 我們休息十分鐘繼續我們再來請胡博遠先生來審查謝謝大家大家辛苦了
transcript.whisperx[350].start 10558.82
transcript.whisperx[350].end 10567.602
transcript.whisperx[350].text 我們現在繼續進行比提名人胡柏諺先生跟說明跟詢問請中選委員比提名人並為副主任委員胡柏諺先生說明謝謝
transcript.whisperx[351].start 10591.648
transcript.whisperx[351].end 10612.745
transcript.whisperx[351].text 謝謝主席主席各位委員我是胡博焱很榮幸有這個機會受行政院的信任而被提名擔任這樣的職務的工作那我也希望這個是一個這幾年來我們都看到台灣其實不只是在立法院在每個地方政治的抗爭性都非常大我想
transcript.whisperx[352].start 10613.726
transcript.whisperx[352].end 10632.553
transcript.whisperx[352].text 政治不是只有抗爭也有很多討論跟協調這件事情而我們其實這個委員會呢目前的七位提名人基本上來講來自各個不同的黨派其實以目前的地方選委會的態勢是一樣的那說實在的相比
transcript.whisperx[353].start 10633.086
transcript.whisperx[353].end 10659.767
transcript.whisperx[353].text 我們內政委員會可能處理的像內政部的事情或是其他部會中選會是一個行政動能很小那嚴格來講處理的事情也比較單純但是雖然它是單純的但是這件事情其實處理不好就會動搖國本的這事情那但是呢中選會其實剛剛主委提名有提過說我們其實原而編制也不過才60個人就像地方選舉委員會也不過才200多個人
transcript.whisperx[354].start 10661.266
transcript.whisperx[354].end 10686.326
transcript.whisperx[354].text 所以呢我們雖然有七個提名人但是大概只有主委跟副主委需要兩個值日生來負責擦黑板倒水的這樣的工作這個就由游老師跟我來擔任但是重要的是這七個人其實在未來在決定事情上面以及現在的四位委員在未來決定事情上面來講在這個委員會當中而言每個人的決定的份量是一樣的而且這也是體現這一個國家在處理選舉事務當中而言
transcript.whisperx[355].start 10690.209
transcript.whisperx[355].end 10701.315
transcript.whisperx[355].text 各黨各派在處理事務當中都有應該要發言的地位而我們希望藉由這一次的審查可以讓我們國家可以走得更順利謝謝謝謝我們這裡電視台有他的詢問詢問質詢
transcript.whisperx[356].start 10721.006
transcript.whisperx[356].end 10743.355
transcript.whisperx[356].text 謝謝主席我們請被提名人胡伯彥教授胡伯彥教授被提名人好我想剛剛你有說明就是這一次的話基本上是由各黨派來推薦也是我們進入到立法院將近兩年來第一次的人事審查
transcript.whisperx[357].start 10743.823
transcript.whisperx[357].end 10772.266
transcript.whisperx[357].text 是由各黨派來推薦我們當然也希望說能夠有這樣一個好的結果那當然今天有幾個題目要就教於您那首先是在我們提問的一個問題當中針對中選會是否有權審查立法院的公投提案那您的書面回答得非常清楚就是依公投法第15條第二項立法院交付案件排除人民提案審核的程序
transcript.whisperx[358].start 10772.748
transcript.whisperx[358].end 10797.939
transcript.whisperx[358].text 就法律解釋上應該沒有審查的適用你甚至說立法院交付本為政治決定在邏輯上不該由中選會進行合法的審查所以我在這邊請您先把你的立場講清楚你的意思是不是只要立法院三讀通過交付到中選會這樣的公投案其實中選會的角色就是依法辦理呢
transcript.whisperx[359].start 10798.618
transcript.whisperx[359].end 10814.724
transcript.whisperx[359].text 我認為一件事情就是就這個法律條文解釋邏輯上面來講因為他排除了第九條到第十三條的適用所以在這個時候如果中選會審查必須要回到一件事情上面來講就像以前所講的就是請你間斷回答是不是一個政策是不是因為在您的報告裡面在這個選擇上面來講就會是如何而且不是只有這個條文因為我們還有防衛性公投
transcript.whisperx[360].start 10824.287
transcript.whisperx[360].end 10844.933
transcript.whisperx[360].text 的問題就是如果這是您的回答嗎所以是不是就是應該遇到這個有立法院三路通過交付中選會的這樣的一個公投案中選會的角色就是依法辦理對是好那所以不能再用什麼非重大決策或是合法性把它擋下來是嗎
transcript.whisperx[361].start 10845.643
transcript.whisperx[361].end 10864.302
transcript.whisperx[361].text 我認為這個問題的憲政問題應該是要由大法官來去解決那接下來也是我要請教您的就是您認為如果真的有憲政問題的話那您覺得中選會雖然是獨立行政的一個機關但認為行政權的一部分並非憲政機關所以憲政上的爭議
transcript.whisperx[362].start 10865.458
transcript.whisperx[362].end 10889.782
transcript.whisperx[362].text 依照憲法應該交由大法官來處理這是您的回覆所以針對這個部分中選會它不是憲政的機關所以中選會如果過度介入只會讓選務複雜這也是您在回覆中提到的所以我要問得更直接一點就是中選會直接駁回公投案是不是嚴重的越權呢也僭越了大法官的職權
transcript.whisperx[363].start 10891.038
transcript.whisperx[363].end 10913.725
transcript.whisperx[363].text 我其實在之前的研究報告有提出來一件事情是說中選會如果直接把人家駁回的話應該在法條裡面規範讓他立即可以去申請大官釋憲由大法官去解決所以中選會不可以駁回嗎我認為如果從我剛剛的研究報告立場上面來講從這個立場其實是可以讓他駁回但是後面接續的就是馬上
transcript.whisperx[364].start 10915.005
transcript.whisperx[364].end 10925.948
transcript.whisperx[364].text 那個憲法解釋的問題可是中選會沒有權利嘛沒有權利駁回我們的公投案嘛如果照你剛剛的論點的話我們應該就是要辦理嘛那如果認為有問題的話再送交這個把憲政機關請申請釋憲的問題嘛對 所以這個部分的話就是好那其他機關是不是有辦法權利解釋違憲的問題
transcript.whisperx[365].start 10939.352
transcript.whisperx[365].end 10964.214
transcript.whisperx[365].text 其他機關對行政機關可不可以解釋違憲的問題實際上來講每個行政機關基本上來講都是在依據憲法來做成決定對所以說好但是呢最終而言決定有沒有違憲的問題的時候就要變成是大法官對那所以說針對這個軍人加薪跟提高警校人員所得替代率的法律是否違憲其實應該不是行政院長說了算吧
transcript.whisperx[366].start 10965.034
transcript.whisperx[366].end 10983.286
transcript.whisperx[366].text 應該是要申請這個大法官釋憲由大法官來決定那在還沒有宣判違憲之前是不是就是合乎憲法在您這個法律學者的這樣子一個我覺得這個憲政爭議而言應該要交由大法官來處理但是因為行政院認為他是違憲的違憲之前就是合乎憲法嗎
transcript.whisperx[367].start 10984.066
transcript.whisperx[367].end 11000.448
transcript.whisperx[367].text 行政院認為它是違憲就像定出來的某些制度內立法院也有可能認為它是違憲的在你是法律學者的這樣子的一個立場你是不是針對這個部分就是只要還沒辦違憲之前就是合乎憲法只要還沒辦還沒有判違憲之前是不是就合乎憲法
transcript.whisperx[368].start 11001.277
transcript.whisperx[368].end 11007.305
transcript.whisperx[368].text 跟委員報告就是每個行政機關他可能會認為他這個法條是違憲的所以最終他可能會去申請實現的去做主意的因為你在國會改革的審議階段你多次的公開批評在野黨的修法是違憲擴權可是當這個中選會駁回我們的公投的時候
transcript.whisperx[369].start 11019.58
transcript.whisperx[369].end 11043.856
transcript.whisperx[369].text 你卻沉默了你卻沒有站出來講說這個部分依法的話是應該不該駁回應該要依法宣證所以我覺得站在這個立場的話我覺得被提名人你好像就是只有在監督在野黨不監督執政黨敢宣出來的就是表現了一個這個好像是側翼的行為而且你的書面也回答了就是中選會是違法但是你的沉默卻證明了你也不敢得罪民進黨所以當有這樣的一個狀況的時候
transcript.whisperx[370].start 11045.936
transcript.whisperx[370].end 11052.514
transcript.whisperx[370].text 我們要 你要如何說服我們這些被審 這個審查委員你未來能夠超然獨立的行使你的職權
transcript.whisperx[371].start 11053.615
transcript.whisperx[371].end 11080.988
transcript.whisperx[371].text 我在2015年的時候我就說我要跟蔡英文劃清界限了這件事情其實報紙都有報導過這次的審查我想你要說服的是這一次被審查的委員他們的想法那另外一點呢就是我們在第一題就有提到的就是有關公投綁大選如何順利的進行那您的回答是說只要把場地租大一點分流做好工作人員增加然後提高行政效率
transcript.whisperx[372].start 11081.928
transcript.whisperx[372].end 11107.307
transcript.whisperx[372].text 亂象 107年的亂象就不會重演這是您這是您回覆的是嗎那你這樣是不是就在說明了就民進黨這幾年說公投這個107年的公投綁大選選務亂是因為這個因為公投綁大選的關係所以你現在就是在證明說當時民進黨這幾年的說法純粹就是為了政治算計而做這樣子的說謊的一個行為嗎
transcript.whisperx[373].start 11108.928
transcript.whisperx[373].end 11132.542
transcript.whisperx[373].text 107年確實當初2018年確實公投榜大選的那一天大選日的混亂狀況這個大家都看得出來是因為選務沒有規劃好嗎所以你才會提出來說接下來你就可以把選務怎麼規劃好所以你剛回答是這樣嗎但是那一天確實就是有十個十個公投案那就是因為表示你的人力還不夠嗎你分流沒有做好嗎這是你在回答中
transcript.whisperx[374].start 11132.922
transcript.whisperx[374].end 11145.873
transcript.whisperx[374].text 可以解決的問題的方式所以說我們這邊是不是也就代表說以前上一次的2018年的公投中選會沒有辦好是因為人的問題是因為人無能而不是因為並大選
transcript.whisperx[375].start 11148.075
transcript.whisperx[375].end 11171.043
transcript.whisperx[375].text 所以你在回答問題我覺得在2018年確實選務工作做得不完善所以說是因為這樣所以這幾年民進黨一直在講說公投綁大選造成選務的混亂其實不是因為公投綁大選事實上是真正能夠展現民意真正讓每個民眾能夠有機會去表達他自己的意志的時間所以我想您在這個整個回覆中也已經
transcript.whisperx[376].start 11172.271
transcript.whisperx[376].end 11200.933
transcript.whisperx[376].text 已經這樣子充分的回答了說您針對公投綁大選覺得這個選務的部分其實的亂象不是因為綁大選而是因為行政座有沒有做好嗎是這樣嗎因為其他國家有些國家確實是沒有綁大選那我認為說如果真的要綁大選我們就必須要把選務工作處理做正因為在你問題的一些言論跟立場事實上你是反對公投綁大選的那當然今天我在研究報告是寫我支持
transcript.whisperx[377].start 11201.873
transcript.whisperx[377].end 11218.841
transcript.whisperx[377].text 對 你在你的 但是你看喔你在這個自由時報的這個對 專欄裡面我寫你是這個空頭綁大選只會毀了公投本質喔這是你以前的說法 對那我們希望說不要因為今天是未來來擔任副主委所以你就改變你過去的說法到底我們要相信哪一個你
transcript.whisperx[378].start 11219.241
transcript.whisperx[378].end 11237.435
transcript.whisperx[378].text 是同意公投綁大選的你還是反對公投綁大選委員因為我們現在法條已經改了我們未來就是要因應一件事情就是要綁大選我們要預防的一件事情就是2018年的那個狀況出現希望您不要是因為為了要擔任這個副主委這個職務而去出賣您原來的一個這個
transcript.whisperx[379].start 11238.796
transcript.whisperx[379].end 11250.606
transcript.whisperx[379].text 自己的一個學術的一個良知還是希望您能夠如果未來您有幸能夠擔任副主委的話一定要秉持公正 超然獨立的立場來行使職權謝謝好 謝謝委員謝謝 謝謝徐益臻委員質詢我們現在有時間要委員質詢
transcript.whisperx[380].start 11272.05
transcript.whisperx[380].end 11299.547
transcript.whisperx[380].text 謝謝主席有請我們被提名人副主委被提名人胡老師胡教授教授首先我想要先分享喔有一個就是被歐巴馬總統任命的第一位女性的這個司法部長哈佛的第一位的女性院長叫做Elena Kagan2010年歐巴馬提名她那這位美國的女性大法官他有一句名言
transcript.whisperx[381].start 11300.339
transcript.whisperx[381].end 11321.068
transcript.whisperx[381].text 我觉得想要分享给大家也许胡教授您也非常的了解这句名言呢他说my politics would be must be have to becompletely separatefrom my judgment意思是我有我个人的政治意识的形态我有我个人的政治
transcript.whisperx[382].start 11321.795
transcript.whisperx[382].end 11342.64
transcript.whisperx[382].text 形象或是我的政治主張但是這跟我的判決是完全兩碼子事他是完全會抽離的當他成為大法官的那一天他勢必要專業的去判準他的每一個判決而且依據憲法所以他的politics每個人有自己的politics
transcript.whisperx[383].start 11343.18
transcript.whisperx[383].end 11361.605
transcript.whisperx[383].text 我有您有每一個委員都有但是當大家被提名成為中選會的委員未來渴望上任的時候請切記超越黨派超越個人的政治意識形態首先合法是必要的我相信胡教授非常同意這位Elena Kagan她的主張
transcript.whisperx[384].start 11362.375
transcript.whisperx[384].end 11391.324
transcript.whisperx[384].text 其实也是物资要我个人的主张所以说下一页我刚刚在垂询这个主委被提名人游云龙先生的时候我也提到成功选务的三要素就是公正效率跟便民而中选会委员的四要件独立专业公正跟守线守法守线守法非常的重要唯有回到守线守法的基准我们才能够超越自己的politics
transcript.whisperx[385].start 11391.804
transcript.whisperx[385].end 11415.299
transcript.whisperx[385].text 自己的政治意識的型態您同意嗎同意那麼在首先守法的這個範圍裡頭我對於剛剛因為時間有限游盈隆被提名人主委的被提名人他一直長期在論述的他個人認為這個罷免是災難的這件事情我尊重他的言論自由但是如果今天
transcript.whisperx[386].start 11416.658
transcript.whisperx[386].end 11443.921
transcript.whisperx[386].text 成為中選會未來要獨立行使職權而且是首先守法的主委的時候回歸憲法的精神就非常重要憲法第17條所規範的人民有選舉罷免創制復決之權這是中華民國的憲法所以人民依據憲法所提出的罷免我希望過去的游盈隆學者跟未來的游盈隆主委
transcript.whisperx[387].start 11444.406
transcript.whisperx[387].end 11452.882
transcript.whisperx[387].text 他的主張勢必要首先合法要脫離他個人的politics那您怎麼看這個命題呢您怎麼看待人民發起的大罷免
transcript.whisperx[388].start 11453.547
transcript.whisperx[388].end 11481.209
transcript.whisperx[388].text 包委員我這個意見其實跟委員一樣但是我不要我其實某些方面也是認為說罷免制度其實在很多國家現在目前其實是被檢討的但是我們確實在憲法17條就寫著我們有罷免的權利這個是我們沒有辦法去否定的一件事情因為它寫在憲法裡面人民委員會跑來跟你講說我就可以罷免誰所以說首先守法很重要
transcript.whisperx[389].start 11482.757
transcript.whisperx[389].end 11511.603
transcript.whisperx[389].text 個人作為學者的身份可以有自己的政治主張但一旦被提名成為國家的中選會的委員的時候首先手法就是重要的基準請尊重人民依據憲法所發動的基本公民權而我更要說大罷免是人民發動的而大惡罷才是國民黨發動的吳斯堯我本人就是受害者就是當事人我到現在還是中華民國史上被罷免者
transcript.whisperx[390].start 11512.093
transcript.whisperx[390].end 11531.774
transcript.whisperx[390].text 的最高被偽造連署的份數2674份這份記錄負面的記錄還標記在我身上我非常的遺憾這是被發動大惡霸一方用違法的方式來僭越了來踐踏了憲法珍貴的人民父權我要在這裡提出
transcript.whisperx[391].start 11532.702
transcript.whisperx[391].end 11544.919
transcript.whisperx[391].text 下一頁剛剛提到不再急投票我也都說即便要變名也要讓公正選舉跟選舉的效率不打折所以大家都有共識公投先行下一頁
transcript.whisperx[392].start 11546.007
transcript.whisperx[392].end 11572.514
transcript.whisperx[392].text 各縣市政府有這樣的共識選務機關有這樣的共識所以請支持行政院的版本下一頁那回到這一頁就是說公投綁大選2018年的選務混亂只有2成8的人民同意而高達6成9的人民不滿意這就告訴我們公投綁大選需要有很好的機制配套未來好現在立法院修法通過
transcript.whisperx[393].start 11573.334
transcript.whisperx[393].end 11596.12
transcript.whisperx[393].text 未來可能公投綁大選會再上路但是選務機關的責任就是維持它的運行不會混亂不會造成人民在選舉投票行使的不便利性那我就要問來下一頁您個人確實有主張但是我認為這個論述還是要再精確一點
transcript.whisperx[394].start 11597.202
transcript.whisperx[394].end 11611.739
transcript.whisperx[394].text 依據公投法第10條中選會就主管機關對於不管人民發動的罷免對不起人民發動的公投或者是立法院發動的公投你還是必須去去審核他是不是符合法律跟憲法的規範對不對
transcript.whisperx[395].start 11613.137
transcript.whisperx[395].end 11636.784
transcript.whisperx[395].text 我是認為他還是要有初步的審核那如果有問題就直接讓他去憲法法庭去做但是現在謝謝你提供未來立法院可能在修法的一個方向但目前並沒有您所說的這個條文就是說如果在中選會在認定在審核上的判準有所異議應當由憲法法庭來做最終的審議這是
transcript.whisperx[396].start 11638.504
transcript.whisperx[396].end 11654.279
transcript.whisperx[396].text 未來法律所沒有的而這可能也會衍生另外的問題因為憲法法庭在審議釋憲的過程還有一定的程序那人民所發動他的對於部分的主張或是立法院的公投案本身也許在時程上沒有辦法等
transcript.whisperx[397].start 11655.34
transcript.whisperx[397].end 11682.896
transcript.whisperx[397].text 這也會有其他衍生的問題但回到現在的法律的規範如果公投綁大選要讓他能夠不至於造成選務的混亂就是我們必須精確的讓合法首先的公投案才能上路不是嗎某些方面是否則從107年到115年我調閱了中選會的資料人民發動的公投案有69案您知道中選會駁回多少案嗎
transcript.whisperx[398].start 11683.872
transcript.whisperx[398].end 11711.259
transcript.whisperx[398].text 不知道35案成立的34案換言之有一半的比例中選會的這個把關還是需要的因為他需要在首先合法的規範公投法第二條就規範了全國性公投跟地方性公投都有適用的要件而且他要符合憲法規定所以在人民發動的公投案裡頭從107年到15年有一半以上經過中選會的把關
transcript.whisperx[399].start 11713.479
transcript.whisperx[399].end 11724.585
transcript.whisperx[399].text 有一半成立一半駁回這會避免了過多的公投你沒有去審核他是不是合法合憲你也必須去把關否則公投綁大選天啊2018年那種噩夢幾十案又來了同樣的立法院的公投案
transcript.whisperx[400].start 11732.748
transcript.whisperx[400].end 11745.422
transcript.whisperx[400].text 立法院的公投案也是要守憲合法所以就像我說的用公投法的修正來推翻憲法的解釋是可以的嗎是可以的嗎
transcript.whisperx[401].start 11745.953
transcript.whisperx[401].end 11767.069
transcript.whisperx[401].text 我覺得這個會觸犯到法治國原則的要求所以我是建議我非常理解您在法律上的一些理解但我認為發言要非常的嚴謹我也希望社會不要錯誤的解讀副主委您認為未來委員針對公投法是否合法合憲合規完全沒有審核把關的權利這非常危險
transcript.whisperx[402].start 11769.651
transcript.whisperx[402].end 11796.629
transcript.whisperx[402].text 你在審核的不是政治的意識形態而是它有沒有符合國家公投的制度的法律的授權跟憲法的授權 您同意嗎同意我給您再最後一次去更正調整您的說法好嗎對於未來如果您當選通過立法院的同意權針對人民發動的公投案跟立法院所發動的公投案您認為中選會獨立機關要進行什麼樣子的把關我認為的把關都是屬於最低限度的把關
transcript.whisperx[403].start 11797.949
transcript.whisperx[403].end 11825.206
transcript.whisperx[403].text 最低限度的不要過分的去干涉我們整個議案裡面內容避免中選會過度的逾越這件事情但是我想最低的限度的要求其實應該是可以達成的守法守憲這就是我們共同的底線好嗎依法行使職權我提醒所有的被提名人沒有政治意識形態而是依法守憲做我們該做的事情這樣你就能夠有很強的底氣不受政治所威脅
transcript.whisperx[404].start 11826.021
transcript.whisperx[404].end 11828.103
transcript.whisperx[404].text 好嗎我們一起加油謝謝胡教授謝謝謝謝我們感謝吳斯亞委員質詢我們現在稱召之委員
transcript.whisperx[405].start 11847.268
transcript.whisperx[405].end 11872.119
transcript.whisperx[405].text 多謝主席有請副主委被提名人 胡教授胡教授 雖然有委員有提到但是我對於您曾經投書媒體認為這個公學綁大頭會讓這個公投認為政黨這個對決的工具那甚至就是喪失了這個公投的這個本質這件事我還是要再請教你請問您現在對於公投綁大選還是這樣的看法嗎
transcript.whisperx[406].start 11872.719
transcript.whisperx[406].end 11881.28
transcript.whisperx[406].text 我會認為如果可以的話讓它其實是不同天其實是一個可以的決定的選擇但是我們現在是要面對的問題是
transcript.whisperx[407].start 11882.594
transcript.whisperx[407].end 11902.115
transcript.whisperx[407].text 法條已經修過了他就是要同天投票但是胡教授我了解你認為公投綁大選可能會讓政黨來主導這個公投議題造成公投失焦可是我的想法剛好跟你相反公投基本上這個公投綁大選基本上是強迫政黨或政治人物他必須他不能迴避他必須針對這個議題去做他的主張或是表態
transcript.whisperx[408].start 11905.518
transcript.whisperx[408].end 11928.325
transcript.whisperx[408].text 那就是說讓選民也能夠有機會知道這個參選人他對於這個議題的想法跟態度根據這個議題他來做出他的選舉的決定換句話說您擔心的是這個公投會影響這個政黨會影響公投可是我的看法剛好是相反的我認為是人民做主的公投
transcript.whisperx[409].start 11929.125
transcript.whisperx[409].end 11936.997
transcript.whisperx[409].text 反而會去影響這個政黨因為我相信台灣選民的數字是越來越高啊他們不見得是根據顏色去投票他們會根據議題看議題然後就來做這個選擇胡教授您贊同我的說法嗎我贊同
transcript.whisperx[410].start 11944.249
transcript.whisperx[410].end 11958.475
transcript.whisperx[410].text 那過去的經驗就是我想你也非常清楚這個單獨舉行的公投他的投票率非常低資訊流通是有限的那結果往往被高度動員反而有可能讓政黨更容易去去做主導
transcript.whisperx[411].start 11959.936
transcript.whisperx[411].end 11979.407
transcript.whisperx[411].text 綁大選你至少可以讓參與率是提高的參與率是提高讓公投的結果更能夠去反映整體選民的整體意志那您剛剛也一再提到修法已經通過了那我認為今年年底的地方選舉很可能很可能就是同時會舉辦公投那我要請問
transcript.whisperx[412].start 11980.627
transcript.whisperx[412].end 12000.643
transcript.whisperx[412].text 這個胡教授因為您過去是反對的當然你現在要尊重這個法律已經通過的事實可是您能夠如實的去執行立法院通過的修法嗎你怎麼樣說服立法院還有台灣人民說你會按照這個修法你會公正如實的去把選務辦好你怎麼來說服
transcript.whisperx[413].start 12001.263
transcript.whisperx[413].end 12026.246
transcript.whisperx[413].text 包委員我們在2018年因為公投綁大選的混亂之後因為當天有10個公投案確實造成一些混亂其實中選會在這邊其實針對整體的選務有做過改革所以在分流制度上面來講其實是已經達成了所以只要公投的案件數不會太多的話我相信其實當天可以秩序其實是可以被掌控的
transcript.whisperx[414].start 12028.647
transcript.whisperx[414].end 12046.276
transcript.whisperx[414].text 我們是擔心說您會不會如實我會如實去辦好這件事情你的主張 我也同意你個人的主張跟這個作為有時候是可以分開的但是你的責任就是要遵守你的責任我想請教你對不在籍投票的看法民眾黨所提的不在籍投票其實是限於台灣島內 國內
transcript.whisperx[415].start 12048.697
transcript.whisperx[415].end 12067.288
transcript.whisperx[415].text 這個移轉投票我們希望讓這個事實上你過去參與的時代力量目前還是也是這樣主張的請問胡教授您現在是支持國內移轉投票嗎我支持國內移轉投票你支持移轉投票這樣我們可以幫助就業就學的因素而不用這個周遮勞頓回到這個戶籍地來投票那但是
transcript.whisperx[416].start 12071.57
transcript.whisperx[416].end 12099.509
transcript.whisperx[416].text 目前不再去投票是多數國家的一個做法連這個中南亞國家包括印尼菲律賓他們都做了那你知道前年印尼大選我們台灣的警察出來幫助幫助這個這個秩序的維安所以這個是我是覺得很丟臉我們可以幫助別的國家結果我們到目前為止還不允許還不允許我們的國民能夠做這個這個移轉這個投票所以我想說是剛剛胡教授您說您是支持的
transcript.whisperx[417].start 12100.45
transcript.whisperx[417].end 12104.782
transcript.whisperx[417].text 那我們法過了以後 你也會按照這個去辦理對不對我們
transcript.whisperx[418].start 12106.041
transcript.whisperx[418].end 12130.624
transcript.whisperx[418].text 立法院法律通過之後中選會會依據立法院所通過的選罷法等相關法規或公民投票法來處理我希望吳教授能夠遵守法律因為我們現在看太多期行政院長沒有遵守法律立法院通過的法律把它視為空氣形同空氣那我再想請教你一件事受刑人權利有民間團體認為非常關注受刑人跟羞辱人的投票權
transcript.whisperx[419].start 12131.525
transcript.whisperx[419].end 12159.825
transcript.whisperx[419].text 那過去中情會認為根本不可能在在監投票那這等於完全剝奪了受刑人跟收容人的他這個憲法賦予的權利那我知道胡教授您在11月去年你也主持過在收容人投票權研討會擔任這個主持人胡教授你認為收容人跟受刑人有沒有投票權我先問你有沒有投票權有投票權只要他們沒有被褫奪公認他們就有投票權那如果有你要怎麼落實呢
transcript.whisperx[420].start 12160.492
transcript.whisperx[420].end 12175.252
transcript.whisperx[420].text 我覺得在投開票所的設置上面來講我們因為要兼顧到公開化以及安全的問題這個部分其實我覺得不管是中選會或者法務部其實應該更努力來解決這問題因為他們有些人不是不在急有些人其實急就在監鎖
transcript.whisperx[421].start 12176.894
transcript.whisperx[421].end 12202.171
transcript.whisperx[421].text 你提到的還是技術面問題嘛你在歐洲嘛歐洲他們就是很多人就有很多國家他就設了這個在間投票嘛這個你們你過去所屬的時代力量他們也是一直用這樣做例子嘛所以胡教授你認為是可行的嗎我認為可行這一次就可以辦了嗎年底的選舉就可以辦了嗎這個我不確定這個可能要跟幕僚機關以及各省市選委會來辦但是從我的觀點來講我一直都認為這是可以做的
transcript.whisperx[422].start 12206.155
transcript.whisperx[422].end 12217.698
transcript.whisperx[422].text 可以做就要去做啊我也會去從我的觀點我也會去推行這件事情謝謝謝謝吳教授謝謝我們感謝陳昭芝委員質詢現在中途我們不需要休息繼續開會因為現在12點了在這裡我們鄭天才委員質詢
transcript.whisperx[423].start 12248.117
transcript.whisperx[423].end 12265.225
transcript.whisperx[423].text 福教授好原住民選舉前的困境沒有聽過吧我有聽過原住民議題我其實也有熟悉謝謝你的關注秘密投票
transcript.whisperx[424].start 12266.994
transcript.whisperx[424].end 12290.328
transcript.whisperx[424].text 原住民很多的選舉沒有秘密投票的一個情形雖然憲法規定的很明確無記名投票是方法行之但是因為原住民從原鄉到都會區工作的非常多然後遷积的也很多
transcript.whisperx[425].start 12291.263
transcript.whisperx[425].end 12319.099
transcript.whisperx[425].text 所以相關的這些事實上在都會期原住民的人口數已經達到50%有社會籍的已經達到50%左右所以這樣的一個情形之下一個投票所只有一個人的就有以平地原住民來講就有966人一個投票所兩個人的以平地原住民講來說就是1034
transcript.whisperx[426].start 12321.127
transcript.whisperx[426].end 12345.306
transcript.whisperx[426].text 如果包括三個人的總共有2900多將近3000人那我們看山地原住民山地原住民也是一樣也有類似這樣子情形一到三人的總共有3235人所以他投票給誰一開票就知道他投票給誰所以他就變成說
transcript.whisperx[427].start 12347.805
transcript.whisperx[427].end 12365.896
transcript.whisperx[427].text 會考慮是不是要不要去投票會有這樣的一個情形所以這樣的一個情形怎麼樣去保障憲法徵修條文第十條第十二項保障原住民的政治參與政治參與除了參政權之外還有選舉權選舉權本席透過質詢請這個中選會要這個
transcript.whisperx[428].start 12375.939
transcript.whisperx[428].end 12400.956
transcript.whisperx[428].text 解決秘密投票 質詢了非常非常的多次因為事實上是可以 不修法其實是可以的以公職人員選舉辦人法第57條第三項 原住民公職人員選舉得徵走實際情形 單獨設置投票所或在選舉區內辦理投票
transcript.whisperx[429].start 12403.789
transcript.whisperx[429].end 12430.869
transcript.whisperx[429].text 事實上只有規定 但是一直沒有辦法落實所以本席不得不修法所以今年 去年12月26號三讀通過為保障原住民秘密投票權益 應單獨設置投票然後不受第17條第一項應在戶籍地投票之限制當初在修法的討論的時候中選會還是不支持
transcript.whisperx[430].start 12432.211
transcript.whisperx[430].end 12461.103
transcript.whisperx[430].text 所以這樣的部分如果這個副教授能夠擔任副主委或者是其他的被提名人也能夠擔任委員希望落實這次的一個修正的條例可以嗎 可以接下來談不在己投票原住民族的不在己投票事實上最可以先實施的是
transcript.whisperx[431].start 12462.153
transcript.whisperx[431].end 12483.501
transcript.whisperx[431].text 立法委員因為原住民的立法委員的選區是台澎金所以跟總統一起選舉所以原住民要實施不在籍投票是應該最優先來辦理是可以執行的因為我們每一個投票所都有我們的選民
transcript.whisperx[432].start 12485.27
transcript.whisperx[432].end 12505.878
transcript.whisperx[432].text 都有投票所了就是移轉投票就很容易了因為每個台北市每個都有原住民的投票所所以這個部分是可以先實施的因為沒有實施所以造成我們原住民與非原住民的投票率的差異你想想看以3D原住民來講我們就講第11屆立委
transcript.whisperx[433].start 12507.546
transcript.whisperx[433].end 12535.312
transcript.whisperx[433].text 差距13.83%投票率平地原住民是7%多這樣的一個落差就是因為太遠了我們看這個台灣地圖一個住台北市的鄉親他要到蘭嶼投票回去他的戶籍地就很遠不要說蘭嶼就到屏東或是到台東都非常非常的遠而且還要到山上
transcript.whisperx[434].start 12536.531
transcript.whisperx[434].end 12563.215
transcript.whisperx[434].text 不是到了台東火車站之後 還要到山上所以這個原住民族的不在籍投票更是有它的一個需要性我看了這個印尼 在台灣我們的外勞 印尼的外勞在台灣都是 都投票所以在台灣投票在台灣還不只 不是只有在台北市每個縣市都有投票所
transcript.whisperx[435].start 12564.498
transcript.whisperx[435].end 12587.33
transcript.whisperx[435].text 像這樣他們都可以受得到這樣的一個情形我們確實做不到我們真的是要加油所以這個部分也希望我們這個胡教授以及各位被提名人到了中選會之後能夠優先支持嚴肅民主的不在己投票 可以嗎可以 沒問題謝謝我們感謝鄭天才委員資訊
transcript.whisperx[436].start 12593.496
transcript.whisperx[436].end 12610.125
transcript.whisperx[436].text 咱家習星雲委員 習星雲委員不在咱家省花卉 省花卉委員不在葉延芝 葉延芝 葉延芝不在
transcript.whisperx[437].start 12619.888
transcript.whisperx[437].end 12635.819
transcript.whisperx[437].text 在這被提名人胡柏彥先生所說明和質詢的都已經結束完畢委員習新英提出書面質詢列入紀錄刊登公報
transcript.whisperx[438].start 12641.357
transcript.whisperx[438].end 12649.721
transcript.whisperx[438].text 再來我們比提名人的吳博言先生可以先離席可以先離席我們現在的休訓五分鐘
transcript.whisperx[439].start 12666.591
transcript.whisperx[439].end 12677.897
transcript.whisperx[439].text 我們繼續國分前後繼續進行被提名人黃文玲女士之說明價值詢問謝謝大家辛苦了
transcript.whisperx[440].start 12807.111
transcript.whisperx[440].end 12807.234
transcript.whisperx[440].text 谢谢大家
transcript.whisperx[441].start 13060.815
transcript.whisperx[441].end 13066.638
transcript.whisperx[441].text 來 繼續開會 進行被提名人黃文玲女士之說明和詢答請黃文玲女士說明主席
transcript.whisperx[442].start 13077.857
transcript.whisperx[442].end 13092.868
transcript.whisperx[442].text 各位委員各位在場的先進大家午安大家好我是黃文玲那這次非常榮幸的能夠受到這個行政院提名為這次的中選會委員的被提名人
transcript.whisperx[443].start 13093.368
transcript.whisperx[443].end 13105.019
transcript.whisperx[443].text 那今天來這裡呢也是要跟大家來分享就是說我其實民國83年就考上律師那一直擔任律師到現在那在期間呢在2012年到
transcript.whisperx[444].start 13108.842
transcript.whisperx[444].end 13129.315
transcript.whisperx[444].text 14年的時候擔任第八屆的立法委員那有短暫的時間在立法院那時候也是在內政委員會那期間呢我在過去從事這個律師的職務其實有辦理非常多的這個選罷法的案件包括會選案當選人這個資格不私認的案子還有
transcript.whisperx[445].start 13130.035
transcript.whisperx[445].end 13143.805
transcript.whisperx[445].text 就是譬如說有假訊息的案件等等所以在實務上或許能夠提供給未來的中選會一些建言當然我本身在2004年的時候還有2014跟18也都參與過
transcript.whisperx[446].start 13148.548
transcript.whisperx[446].end 13168.503
transcript.whisperx[446].text 立法委員的選舉及彰化縣長的選舉在選舉的過程當中當然就會有非常多的選務的紛爭我想我們主席也是身經百戰大家都也很清楚就是選舉可能會遇到的一些糾紛我覺得這一次的被提名人裡面
transcript.whisperx[447].start 13169.444
transcript.whisperx[447].end 13185.009
transcript.whisperx[447].text 其實跟上一屆的感覺上好像比較多的出入因為上一屆我看實務界的律師有好幾位那這一次的被提名人裡面大部分都是學者專家而且都是憲政的學者專家那實務界的好像律師就只有我一人
transcript.whisperx[448].start 13185.669
transcript.whisperx[448].end 13207.825
transcript.whisperx[448].text 那我希望說如果未來有機會擔任中選會的委員我們除了要讓中選會要保持他的獨立性中立性及公正性之外還要維護他的專業跟可信賴性那當然在這個過程之中選務的過程之中確實有非常多的可能會
transcript.whisperx[449].start 13208.525
transcript.whisperx[449].end 13224.542
transcript.whisperx[449].text 涉及到紛爭的部分會影響到這個選務工作人員的部分所以未來如果有機會的話我們也是應該要來維護我們選務人員的尊嚴那以上那希望說就是能夠對這個中選會能夠有所貢獻謝謝謝謝 感謝說明我們這裡黃珊珊委員質詢
transcript.whisperx[450].start 13240.428
transcript.whisperx[450].end 13264.453
transcript.whisperx[450].text 謝謝主席 我請被提名人請讓我們被提名人委員好 好久不見我稱呼您黃律師好黃律師很高興在這邊看到您尤其是您的父親是以前非常受敬重的中選會的主委我想中選會也好或者是任何選委會的委員都需要
transcript.whisperx[451].start 13265.373
transcript.whisperx[451].end 13282.334
transcript.whisperx[451].text 移植相關的公正跟獨立性那民主選舉的過程裡面不是只有最後一天的結果我想過程很重要過程的公平包括更多的所謂的不孝方法或者是說有一些不正當的方式造成了選舉的不公
transcript.whisperx[452].start 13283.188
transcript.whisperx[452].end 13300.472
transcript.whisperx[452].text 那我個人比較我看到你的問卷大概到大部分都有回答不過我今天要問的是根據有關選舉過程裡面其實最大的一塊叫做媒體不公媒體不公的部分在各個法律其都規定得非常清楚總統副總統選罷法46條還有公職人員選罷法49條在廣播電視
transcript.whisperx[453].start 13306.013
transcript.whisperx[453].end 13331.728
transcript.whisperx[453].text 也從事選舉或罷免相關議題的論證新聞報導或邀請候選人罷免案提議人或被罷免人的參加節目要公正公平處理不可以有無正當理由的差別待遇但是這麼多年來我相信你也選過去我們只要是非所謂主流媒體的支持的對象大概都會在很多媒體中被消失
transcript.whisperx[454].start 13332.581
transcript.whisperx[454].end 13355.393
transcript.whisperx[454].text 包括在我想去年的總統大選也非常的清楚2024的總統大選非常清楚的是某個藍媒 綠媒現在已經台灣人都有一定的既定的印象你會看到有一些藍媒看不到綠色的綠媒看不到藍色的那更糟糕的像台灣民眾黨我們是中間所以兩邊都看不到
transcript.whisperx[455].start 13356.834
transcript.whisperx[455].end 13369.631
transcript.whisperx[455].text 這個部分我們曾經也提出過很嚴肅的控訴那NCC有回答說查無證據啦我們也有檢舉但是回去要給中選會所以我們就不禁要去查到在101年
transcript.whisperx[456].start 13370.888
transcript.whisperx[456].end 13393.858
transcript.whisperx[456].text 在105年其實中選會都曾經對於媒體沒有邀請平衡報導或者是沒有邀請到這些所有的參選人而開罰的紀錄我想請問您您對第一媒體在選舉過程中沒有依法行事第二個105年到現在已經快10年了沒有塵埃任何一個媒體處罰
transcript.whisperx[457].start 13394.898
transcript.whisperx[457].end 13409.756
transcript.whisperx[457].text 所以反而我們會懷念您父親當時當中選會主委的時候我們還有道德勇氣對媒體做相關的裁罰如果有這樣的案子我想知道您的想法跟您對於選舉公平應該在媒體上面怎麼樣來維護中選會的獨立性跟公正性
transcript.whisperx[458].start 13414.597
transcript.whisperx[458].end 13440.218
transcript.whisperx[458].text 謝謝委員的指教我想剛剛你提到這個部分其實我深受感同因為我其實我在2014年到18年這兩次彰化縣長選舉我就是以無黨籍的身份參選但是確實是媒體就是全部都把我們的新聞全部都消失被消失掉所以我可以感受到就是說就是選委會在這個
transcript.whisperx[459].start 13441.319
transcript.whisperx[459].end 13462.866
transcript.whisperx[459].text 辦理選舉的過程之中其實它是必須要秉持公正客觀的態度而且其專業的部分那至於就是特定的媒體那他們是不是可以就針對這個部分就是被選舉人就是沒有做公平的報導的部分是不是應該裁罰的部分其實我記得我那時候有去抗議過
transcript.whisperx[460].start 13463.806
transcript.whisperx[460].end 13493.446
transcript.whisperx[460].text 但是似乎是好像沒有作用因為他們認為那個是NCC的所以這就是我們今天中選會其實在101年曾經罰過當時是華氏在政見發表會之後沒有播出某個候選人的會後記者會被裁罰了20萬基本的該有的所以我認為中選會應該要有基本的就是法律的價值它的價值就是要維護選舉的公正公平
transcript.whisperx[461].start 13493.886
transcript.whisperx[461].end 13523.232
transcript.whisperx[461].text 然後每個這個候選人都能夠在這個媒體上能夠被揭露我想大家都可能很清楚的知道這個公正性的確在現今的台灣媒體環境裡面做不到但是我相信中選會應該要做到中選會如果中選會還有道德勇氣的話我們十年來都沒有成過半子案子但是105年那時候還有某些節目只邀請特地的候選人還有
transcript.whisperx[462].start 13523.832
transcript.whisperx[462].end 13550.867
transcript.whisperx[462].text 只邀請某些特定的沒有給予其他選區同樣的候選人相同的機會就被裁罰了40萬跟20萬這是我想中選會委員必須要秉持的一個中正的立場所以他們那個時候的中選會委員可能有道德勇氣才會做這樣的一個裁量所以我們也期待我們未來有機會擔任委員的話也希望能夠秉持這樣一個立場是 只要依法就好公平就好好 謝謝謝謝委員
transcript.whisperx[463].start 13554.336
transcript.whisperx[463].end 13580.236
transcript.whisperx[463].text 謝謝 我們感謝黃珊珊委員北提名人黃文玲女士在說明和詢問已經結束我們北提名人黃文玲女士可以先行離席我們休訓五分鐘 謝謝
transcript.whisperx[464].start 13600.777
transcript.whisperx[464].end 13611.381
transcript.whisperx[464].text 謝謝大家的收看
transcript.whisperx[465].start 13632.579
transcript.whisperx[465].end 13645.603
transcript.whisperx[465].text 謝謝大家謝謝大家
transcript.whisperx[466].start 13673.537
transcript.whisperx[466].end 13673.557
transcript.whisperx[466].text 來,請坐
transcript.whisperx[467].start 13678.372
transcript.whisperx[467].end 13702.382
transcript.whisperx[467].text 那個要不要就是因為我們就就是就我們一個人一個人這樣看他的狀況但是我覺得就是
transcript.whisperx[468].start 13704.722
transcript.whisperx[468].end 13723.253
transcript.whisperx[468].text 我覺得 我等一下去跟他溝通好了因為我們 因為目前的話我們諮詢人就我們諮詢人可以拖八分 等一下還要等一下我算一下 四分多 八分多
transcript.whisperx[469].start 13735.708
transcript.whisperx[469].end 13757.381
transcript.whisperx[469].text 響鐘
transcript.whisperx[470].start 13768.275
transcript.whisperx[470].end 13783.93
transcript.whisperx[470].text 喔 可以可以 因為報告人是八分鐘 然後兩分鐘對 對 對 說明大概幾分鐘就三分鐘兩分鐘 沒關係 因為我也在三樓 謝謝好 謝謝
transcript.whisperx[471].start 13791.954
transcript.whisperx[471].end 13805.708
transcript.whisperx[471].text 響鐘
transcript.whisperx[472].start 13820.623
transcript.whisperx[472].end 13850.452
transcript.whisperx[472].text 然後再下一個說明完再下一個所以它還有一遍大概就是這樣我會聽到我前面講的一句話對 只要聽到過癮的一句話對 只要聽到過癮的一句話對 只要聽到過癮的一句話對 只要聽到過癮的一句話對 只要聽到過癮的一句話對 只要聽到過癮的一句話對 只要聽到過癮的一句話
transcript.whisperx[473].start 13866.325
transcript.whisperx[473].end 13866.365
transcript.whisperx[473].text 謝謝大家
transcript.whisperx[474].start 13890.919
transcript.whisperx[474].end 13899.364
transcript.whisperx[474].text 來 我們繼續開會我們繼續進行被提名人李立忠先生的說明和詢問請中選會委員被提名人李立忠先生說明
transcript.whisperx[475].start 13914.861
transcript.whisperx[475].end 13932.458
transcript.whisperx[475].text 王主席還有各位委員還有我們張秘書長還有各位在座的先生跟女士我是李李仲那很高興這次被我們行政院提名為中央選舉委員會委員的被提名人那我在此報告那我們都知道民主
transcript.whisperx[476].start 13933.839
transcript.whisperx[476].end 13958.77
transcript.whisperx[476].text 選舉制度乃是憲政秩序與民主制度的一個核心那它的公正性跟可信賴性跟穩定性直接關係人民對我們台灣民主的一個信賴的關鍵中央選舉委員會肩負了選舉與公民投票的規劃執行與監督的重任
transcript.whisperx[477].start 13959.935
transcript.whisperx[477].end 13986.054
transcript.whisperx[477].text 其專業性 獨立性跟依法行政對於民主制度之健全運作具有關鍵的意義唐友信擔任中央選舉委員會一職個人將超越黨派以維護憲法精神確保選舉公平強化制度信賴為最高自我期許
transcript.whisperx[478].start 13987.659
transcript.whisperx[478].end 14002.521
transcript.whisperx[478].text 然而 擔任中央選舉委員會委員並非權力之所在而是責任與信賴之所繼本人之抱負在於以專業 理性與公正
transcript.whisperx[479].start 14003.78
transcript.whisperx[479].end 14020.969
transcript.whisperx[479].text 首先合法協助台灣建構一個經得起政治競爭社會檢驗與歷史評價的選舉制度為我們民主發展盡一份長期而穩定的力量以上報告謝謝各位
transcript.whisperx[480].start 14024.705
transcript.whisperx[480].end 14042.041
transcript.whisperx[480].text 謝謝感謝說明因為沒有委員長去接訊所以我們的李立中的說明到這裡 提名人李立中先生可以先行離席我們休訓兩分鐘謝謝
transcript.whisperx[481].start 14047.498
transcript.whisperx[481].end 14057.107
transcript.whisperx[481].text 有機會這樣議席議席要不然坐在那裡聽一些大家留意的意見這樣也很好謝謝 辛苦辛苦有機會這樣
transcript.whisperx[482].start 14075.623
transcript.whisperx[482].end 14092.375
transcript.whisperx[482].text 哎呀
transcript.whisperx[483].start 14100.401
transcript.whisperx[483].end 14112.586
transcript.whisperx[483].text 谢谢观看,下次见!
transcript.whisperx[484].start 14136.376
transcript.whisperx[484].end 14144.378
transcript.whisperx[484].text 謝謝大家
transcript.whisperx[485].start 14171.233
transcript.whisperx[485].end 14187.669
transcript.whisperx[485].text 來 我們繼續再來開會繼續進行被提名人蘇嘉鴻先生之說明跟詢問我們現在中選會委員被提名人蘇嘉鴻先生說明
transcript.whisperx[486].start 14196.281
transcript.whisperx[486].end 14208.906
transcript.whisperx[486].text 主席 秘書長 麥委員 還有全體的女士們 先生們我是福音科技大學蘇嘉鴻蘇老師
transcript.whisperx[487].start 14210.917
transcript.whisperx[487].end 14237.499
transcript.whisperx[487].text 我在這個學校任教已經有32年的歷史在去年因為種種的機緣巧合被推薦被提名所以有這個機會來這邊接受大家的提問我在這裡想要講兩件事情第一件事情
transcript.whisperx[488].start 14239.857
transcript.whisperx[488].end 14263.016
transcript.whisperx[488].text 從早上到現在所有的委員們對被提名人的提問大概聚焦在幾件事情上面大概不外就是公投綁大選以及不在籍投票另外還有其他的問題不管怎麼樣這都是一個值得追求的
transcript.whisperx[489].start 14265.632
transcript.whisperx[489].end 14269.512
transcript.whisperx[489].text 未來方向 它是一個值得追求的未來方向
transcript.whisperx[490].start 14270.58
transcript.whisperx[490].end 14296.194
transcript.whisperx[490].text 但是我們必須要很誠實的去面對中選會現在當前的行政量能未來的考驗其實都在於未來的中選會能不能在自己的行政量能上面有所擴張 有所深化來因應這些挑戰
transcript.whisperx[491].start 14298.404
transcript.whisperx[491].end 14315.497
transcript.whisperx[491].text 所以在一個值得追求的方向它代表了一種進步的價值但與此同時我們對於中選會的目前的行政量能卻沒有與時俱增的一種調整這完全是不現實的
transcript.whisperx[492].start 14317.079
transcript.whisperx[492].end 14342.805
transcript.whisperx[492].text 那中選會的組織編制據說是57個然後預算編制是55個總之他不會超過60個人那地方選委會是負責選務工作所以不管是境外的或者是這個省委的啦等等的這些各式各樣的挑戰
transcript.whisperx[493].start 14344.113
transcript.whisperx[493].end 14364.228
transcript.whisperx[493].text 那麼中選會其實是沒有辦法回應這個現代的時代需求跟社會的這樣的殷切的期待所以在這種情況之下我認為就是我要講的第二點中選會的委員們應該是要專任的目前是無幾職
transcript.whisperx[494].start 14368.666
transcript.whisperx[494].end 14376.903
transcript.whisperx[494].text 那NCC跟這個公平會呢都是專任的那這個以兼任的
transcript.whisperx[495].start 14377.697
transcript.whisperx[495].end 14401.874
transcript.whisperx[495].text 兼職的 無幾職的委員要來因應這些剛剛講過的重重的挑戰實在是分身乏術了 實在是分身乏術幸好此時此刻的審查會是在這個禮拜如果是在上週上上週的話是學期最後一週要辦這個
transcript.whisperx[496].start 14404.127
transcript.whisperx[496].end 14430.513
transcript.whisperx[496].text 期末考 要簽考 要印考卷什麼的怎麼可能來呢要把本職工作薪水顧好所以這麼工作 這個工作這麼兼具對委員來講 確實無幾值的兼職這是一個很奇特的現象所以我們必須要讓獨立機關的獨立性因為委員的踴躍性獲得保障
transcript.whisperx[497].start 14431.383
transcript.whisperx[497].end 14459.479
transcript.whisperx[497].text 那這個機關才能夠因應未來的這麼一些更多的一個挑戰那麼第二件事情就是說那麼有關於這個選舉罷免的訴訟選罷法的這個訴訟目前都還是在民事法院裡面它明明是公法訴訟那這個部分我們可能在未來也可以再重新做個調整跟思考以上報告 謝謝
transcript.whisperx[498].start 14462.782
transcript.whisperx[498].end 14467.985
transcript.whisperx[498].text 謝謝感謝首名我們這裡定期麥一貞委員質詢謝謝主席 有請蘇老師蘇老師謝謝老師好 真的辛苦了
transcript.whisperx[499].start 14491.857
transcript.whisperx[499].end 14520.191
transcript.whisperx[499].text 所以我們說想要請問一下因為現在的選舉制度你有說了就是憲政由內政部主管選務由中選會負責的分立設計原意在於落實責任政治就是維護選舉的中立但你也指出實務上因為全職的交
transcript.whisperx[500].start 14521.171
transcript.whisperx[500].end 14538.448
transcript.whisperx[500].text 交換 所以呢 往往就是導致改革就是遲締甚至使中選會受制於行政關係難以回應高度流動社會於新型的風險所以呢 我想要請教兩點第一 在維持分立的架構下 你認為
transcript.whisperx[501].start 14545.695
transcript.whisperx[501].end 14569.137
transcript.whisperx[501].text 中選會應清楚定位以依法執行選務的獨立機關而非非推上政治的正義第一線第二若短期仍維持分立體制是否通過交錯的任期專任化外部專家參與度透明等的
transcript.whisperx[502].start 14569.797
transcript.whisperx[502].end 14581.743
transcript.whisperx[502].text 制度設計就是逐步強化中選會獨立性與公信力我們要的就是可以獨立作業嗎 這樣子的一個目標
transcript.whisperx[503].start 14583.439
transcript.whisperx[503].end 14599.071
transcript.whisperx[503].text 是的 我原您的提問通通都是我的答案我就是肯定的很好 所以在我們的問卷裡面也有回覆指出說選舉權不是刑
transcript.whisperx[504].start 14602.413
transcript.whisperx[504].end 14627.282
transcript.whisperx[504].text 形式的權利 而是國家必要積極保障的基本權 當人民因為求學啊就業啊 或者服役或職群無法返回戶籍投票的時候 我國家就是要提供替代制度 實質上就是就限制其他投票並
transcript.whisperx[505].start 14629.623
transcript.whisperx[505].end 14651.214
transcript.whisperx[505].text 對年輕人還有流動人口造成不平等所以我們你認為在就是本人到場還有身份查驗也秘密投票的前提下國內移轉投票在實質上不是便利措施是
transcript.whisperx[506].start 14652.652
transcript.whisperx[506].end 14679.282
transcript.whisperx[506].text 國家例行憲法保障參政的必要制度你也強調說國內轉移投票不同於資訊或者電子投票風險可控不宜被過度上網為國安問題那麼有立法完成不在籍投票的法治化的那個就是投票的法治化
transcript.whisperx[507].start 14680.12
transcript.whisperx[507].end 14692.096
transcript.whisperx[507].text 你是否認為中選會在制度設計就是執行上應如何就是權力就是最大為原則從如何讓更合格
transcript.whisperx[508].start 14694.1
transcript.whisperx[508].end 14719.586
transcript.whisperx[508].text 選民安全投票出發因為現在很多地方就是各國等於是說印尼 菲律賓他們都是可以就是在台灣在投票但是我在這邊強調的是說我們的民眾黨說的就是在台灣 在台灣 在台灣是移轉投票而已所以你覺得是說這樣子我們能做得到嗎
transcript.whisperx[509].start 14722.008
transcript.whisperx[509].end 14742.545
transcript.whisperx[509].text 以目前国内的移转投票我认为中选会可能步步为赢也是步步为赢赢得胜利的赢这件事情我觉得中选会可能还可以勉强的
transcript.whisperx[510].start 14745.747
transcript.whisperx[510].end 14770.143
transcript.whisperx[510].text 跟上社會的需求但是如果我們繼續做民主深化的話我們還要再做其他更大的發展的話以目前我再強調一次我所了解到的中選會的行政量能是做不到的所以必須要有所調整才能夠因應時代的變遷回應社會的需求 以上
transcript.whisperx[511].start 14771.363
transcript.whisperx[511].end 14797.666
transcript.whisperx[511].text 中選會應該做得到現在我們是台灣是科技國家所以這個是說應該要做得到不是說還在不一定做得到我覺得這個是已經我們台灣已經應該要做得到的所以接下來我想要請教一下因為現在就是兩岸人民的關係明定大陸地區人民在
transcript.whisperx[512].start 14798.867
transcript.whisperx[512].end 14822.203
transcript.whisperx[512].text 涉及滿十年還有我是外配也是滿十年就是依法登記為公職候選人但是立法則憲法徵定條文裡面第十一條所做出了特別規範但近期引發就是行政機關用國籍法張大陸地區的人民
transcript.whisperx[513].start 14828.787
transcript.whisperx[513].end 14854.174
transcript.whisperx[513].text 人民比例外國人額外要求放棄所謂的外國國籍形同就是以行政解釋架空的特別法所以你在這邊也是就是你說理解所以你也是說依法依法就是涉及滿十年原則是大陸地區的人民
transcript.whisperx[514].start 14854.514
transcript.whisperx[514].end 14857.955
transcript.whisperx[514].text 參政權是否以憲法保障的基本權應用優先因為在我們的兩岸條款這邊就是說優先應用所以排除國籍法的類型就是來去適用所以在目前我們的部會
transcript.whisperx[515].start 14875.522
transcript.whisperx[515].end 14892.814
transcript.whisperx[515].text 法律見解出現就十分之甚至有行政官員公開宣稱說陸配參政權已死的情況下你是否認為說中選會應依特別法明文辦理選務而非
transcript.whisperx[516].start 14895.456
transcript.whisperx[516].end 14897.719
transcript.whisperx[516].text 而非就是被動承受這樣子可能違憲的行政解釋以免就是實質剝奪人民的參政權報告委員
transcript.whisperx[517].start 14909.515
transcript.whisperx[517].end 14936.473
transcript.whisperx[517].text 台灣地區與大陸地區人民關係條例相對於國籍法民法諸多的相關涉及的法律目前就是一種特別法優先適用於普通法的這樣的一種法律適用關係這是沒有疑問的如果啦在這個特別法的跟普通法的這種優先適用關係不成立的話
transcript.whisperx[518].start 14937.577
transcript.whisperx[518].end 14960.613
transcript.whisperx[518].text 那大陸地區人民來談 繼承這個遺產的上限兩百兩百萬可能就會怎麼樣呢那就不用遵守了 回到民法它的印記份或者是什麼樣的那都很可能超過兩百萬所以這個特別法的問題 這是第一個第二個 這個叫做期待可能性
transcript.whisperx[519].start 14961.734
transcript.whisperx[519].end 14988.463
transcript.whisperx[519].text 如果中國大陸是沒有放棄國籍的這樣的一種法治的話強要我們的大陸配偶回去大陸去放棄國籍在客觀上沒有其他可能性強人民之所難以此來剝奪人民的參政權這個我不能認同 以上報告
transcript.whisperx[520].start 14989.042
transcript.whisperx[520].end 15012.56
transcript.whisperx[520].text 好 謝謝 再給我一分鐘謝謝主席 謝謝我們的老師給我們的說明所以我常講的就是說我們不要因出勝地來去決定我們在台灣的我們拿身份證是跟我們國民一模模一樣樣參選也是一模模一樣樣的當選也是一模模一樣樣不要再拿出勝地來去
transcript.whisperx[521].start 15013.741
transcript.whisperx[521].end 15020.589
transcript.whisperx[521].text 就是在台灣努力的人所以在最後就是請教我們的教授你在問卷中也多次強調選舉制度的核心不在政治操作的便利而在
transcript.whisperx[522].start 15029.36
transcript.whisperx[522].end 15032.201
transcript.whisperx[522].text 憲法持續的穩定以及人民參政權是否能對實質保障在這樣子的一個關鍵問題你是否未來擔任中選會的委員在面對高度的政治爭議或跨部會法律的見解的分支時
transcript.whisperx[523].start 15050.348
transcript.whisperx[523].end 15068.241
transcript.whisperx[523].text 你將如何具體拿捏中選會作為獨立機關的分機確保制度解釋回到法律明定性以憲政的原則真正守住民主制度與人民參政權的長期保障是 報告委員那個超越黨派依法行政公正公開 以上報告
transcript.whisperx[524].start 15078.763
transcript.whisperx[524].end 15092.09
transcript.whisperx[524].text 好 太好了 謝謝希望未來就是要看你要讓我們的國家正常運轉讓保障我們的人民 謝謝謝謝委員 謝謝主席謝謝 感謝麥真委員質詢南北提名人蘇嘉鳳先生的說明跟質詢都已經結束
transcript.whisperx[525].start 15105.802
transcript.whisperx[525].end 15114.647
transcript.whisperx[525].text 被提名人舒嘉宏先生可以先行離席休息兩分鐘 謝謝大家
transcript.whisperx[526].start 15143.251
transcript.whisperx[526].end 15145.052
transcript.whisperx[526].text 謝謝大家
transcript.whisperx[527].start 15153.558
transcript.whisperx[527].end 15173.178
transcript.whisperx[527].text 因為是很方便,現在我們是在滿國之大地,很方便,因為如果東南歐,那是一個很舒服的地方,很舒服的地方
transcript.whisperx[528].start 15173.899
transcript.whisperx[528].end 15198.916
transcript.whisperx[528].text 謝謝
transcript.whisperx[529].start 15204.111
transcript.whisperx[529].end 15209.814
transcript.whisperx[529].text 慢慢來
transcript.whisperx[530].start 15241.724
transcript.whisperx[530].end 15255.032
transcript.whisperx[530].text 謝謝 我們繼續再來開會繼續進行被提名人舒芝喬先生之說明和詢問請中選會的委員被提名人舒芝喬先生說明主席 黃委員各位委員
transcript.whisperx[531].start 15268.98
transcript.whisperx[531].end 15279.649
transcript.whisperx[531].text 張秘書長還有在座各位先進 大家好非常榮幸能夠在這邊接受立法院的審查
transcript.whisperx[532].start 15283.568
transcript.whisperx[532].end 15299.828
transcript.whisperx[532].text 很榮幸被台灣民眾黨推薦然後受行政院提名為中選會的被提名人我目前在東吳大學任教目前是東吳大學政治系的教授我自己的研究專長研究領域是
transcript.whisperx[533].start 15301.67
transcript.whisperx[533].end 15312.881
transcript.whisperx[533].text 憲政體制還有選語制度那對於選語制度事實上有蠻多的這個世界各國選語制度有蠻多的一些觀察跟研究所以我自己個人認為就是說有這個機會有這個榮幸
transcript.whisperx[534].start 15317.626
transcript.whisperx[534].end 15334.906
transcript.whisperx[534].text 如果能夠到中選會來服務的話其實是貢獻我自己的所長所以作為一個學者能夠進行公共服務有這樣的機會其實我是非常覺得是樂觀其成的而且也是覺得很榮幸能夠有機會擔任這樣的工作的
transcript.whisperx[535].start 15338.98
transcript.whisperx[535].end 15356.6
transcript.whisperx[535].text 我對於自己的這個中選會的一個如果說將來能夠有機會能夠擔任中選委員的話我想我對自己的一個自我的定位是超越黨派然後依法行政然後公平公正的性質權雖然我是受台灣民眾黨所推薦但我不是台灣民眾黨的
transcript.whisperx[536].start 15358.121
transcript.whisperx[536].end 15380.522
transcript.whisperx[536].text 政黨的代言人因為做一個中選會這樣的獨立機關我做一個研究憲政憲法的學者其實我對獨立機關本身的一個期許是相當的深厚的所以如果說我真的有機會有榮幸擔任中選會委員的話我想這是我一個對自己的一個非常深切的自我的期待自我期許
transcript.whisperx[537].start 15381.701
transcript.whisperx[537].end 15396.941
transcript.whisperx[537].text 那就是我覺得中選會在過去這幾年來在政治的紛擾當中事實上確實它的公信力跟它的一些它的獨立性似乎受到社會各界的某一些質疑不過其實我還是相當
transcript.whisperx[538].start 15397.982
transcript.whisperx[538].end 15417.982
transcript.whisperx[538].text 程度肯定這個中選會的同仁的在選務工作上的很多的努力那只是說在台灣目前這個朝野的這樣的一個對立情況之下不免會有一些對中選會這個獨立機關的這樣的一個一個政治上的一些批判那我認為就是說強化中選會的
transcript.whisperx[539].start 15420.203
transcript.whisperx[539].end 15442.335
transcript.whisperx[539].text 公信力 獨立性是這個未來中選會要進一步去努力的一個方向那我也希望就是說我未來如果有幸作為一個中選會的委員在這個合一制的運作之下能夠貢獻自己所長然後這個對於這個台灣的民主深化民主鞏固以及這個民主的韌性盡一分心力我想我就簡短報告到這邊 謝謝
transcript.whisperx[540].start 15445.214
transcript.whisperx[540].end 15468.939
transcript.whisperx[540].text 謝謝 感謝說明我們今天定期張祺凱委員質詢家屬教授 主席你先
transcript.whisperx[541].start 15471.638
transcript.whisperx[541].end 15498.671
transcript.whisperx[541].text 所以說今天從游營榮游主委到副主委到目前最熱門的被問到的就是不在即投票了不在即投票游營榮游主委提到的是他贊成可是他要求從公投開始做事實上最近這幾天有看到民進黨立院黨團向前跨了一步立院黨團的幹事長鍾嘉斌講說必要的時候從總統大選都可以開始做
transcript.whisperx[542].start 15500.814
transcript.whisperx[542].end 15516.386
transcript.whisperx[542].text 那我看你回答我們這個問卷你是贊成不再急投票的特別是台灣民眾黨現在提出來版本國內移轉投票有沒有可能 有沒有可能如果你獲得提名完之後我剛剛講的是三個階段
transcript.whisperx[543].start 15517.492
transcript.whisperx[543].end 15534.959
transcript.whisperx[543].text 游英龍公投到了民進黨黨團連總統大選都可以了有沒有可能進來之後如果成功被提名通過這個中選會的這個提名之後進來之後有沒有可能在今年的年底縣市長的投票有可能可以做不在籍投票嗎
transcript.whisperx[544].start 15536.167
transcript.whisperx[544].end 15564.966
transcript.whisperx[544].text 我想謝謝委員那個詢問就是不在於投票現在當然要等那個法律通過嘛所以中選會作為獨立機關最重要值得是依法行政啦所以我是很樂見就是說寫期待就是說這個不在於投票法能夠通過那事實上我覺得目前對於不在於投票的一些疑慮我想確實是存是我想可以肯定的事實上你剛提了一個非常重要依法行政是就是民眾黨這個版本已經提出來了
transcript.whisperx[545].start 15565.706
transcript.whisperx[545].end 15579.747
transcript.whisperx[545].text 如果立法院三讀通過的民眾黨這個版本那就是中選會就在依法 依法憲政嘛 對不對那如果來得及的話就是今年年底的縣市長選舉可能就可以開始做這個台灣民眾黨這個版本而且這個版本
transcript.whisperx[546].start 15581.65
transcript.whisperx[546].end 15607.019
transcript.whisperx[546].text 不是什麼有什麼國安餘力什麼境外勢力介入的他沒有國外也沒有兩岸我們這個界定的就是國內的移轉投票就是你還是要親自要去投跟你有提到說這跟通信投票又不一樣對不對所以執行上應該是沒有問題的那我問你一下因為剛剛有這個委員就回答說中選會的行政量能做不到你覺得做不做得到
transcript.whisperx[547].start 15608.209
transcript.whisperx[547].end 15632.064
transcript.whisperx[547].text 我覺得中選會當然就是他會一個比較謹慎的態度在面對這個事情啦可是我自己會認為就是說如果真的法律已經通過了那中選會當然就是要盡力去配合辦理那我也認為中選會在一定的時間準備之下是應該有一定的準備的量能去推動這件事情的依法行政然後盡快推動是可以
transcript.whisperx[548].start 15632.484
transcript.whisperx[548].end 15661.614
transcript.whisperx[548].text 有機會在年底依法來行政來做的對不對其實是有可能的事實上你是專門研究選舉的日本都已經實施不再舉投票大概二十幾年了二十幾年了我看那個報導上面寫他說日本連在攔戟日本人去攔戟都可以投票他們甚至可以提前投票跟美國都是一樣的南韓也有嘛他們號稱科技大國怎麼我們的技術是有問題的連我們的移工
transcript.whisperx[549].start 15663.364
transcript.whisperx[549].end 15690.604
transcript.whisperx[549].text 在台灣的印尼的移工 菲律賓的移工他們都有投票啊所以老實講我們要趕快去推動要不然真的會被世界上笑啦好 OK這個題希望你以後可以盡力去推動那當然就是可能有些人可能意見會不一樣可是最重要最重要的就是這個法有沒有在最近完成三讀另外我看你的回答裡面有一個非常重要的這個上次總統大選的時候啊有一個非常有名的這個網紅
transcript.whisperx[550].start 15693.528
transcript.whisperx[550].end 15710.901
transcript.whisperx[550].text 愛麗莎莎 她因為轉發了有些民眾有在質疑說是不是有作票結果後來你們中選會就告了她了後來沒有起訴 黃國昌就在問她說中選會到後來一句抱歉都沒說 你怎麼看這樣一個事情
transcript.whisperx[551].start 15713.269
transcript.whisperx[551].end 15734.61
transcript.whisperx[551].text 我想中選會作為一個獨立機關它的基本的做法應該以公開呈現為主要優先的一個選項我想提起訴訟這個是一個比較相對來講我覺得個人來講是一個比較激烈手段呈現把事實呈現不是急於去輕鬆你的態度是這樣所以以後希望中選會不要急著去輕鬆最後問一個問題最要緊的問題
transcript.whisperx[552].start 15737.886
transcript.whisperx[552].end 15753.351
transcript.whisperx[552].text 這個去年引起最大爭議的就是國民黨提了實質廢死的這個公投在中選會被廢掉了你怎麼看這樣一個事情如果你當選了中選會的這個委員之後如果再來提一次這個實質廢死這個案子你會怎麼樣來處理這個案子
transcript.whisperx[553].start 15757.492
transcript.whisperx[553].end 15782.386
transcript.whisperx[553].text 這個問題確實是比較在憲政協議上我覺得是比較有真理的不過我簡單回答就是立法院所提的公投案依照目前這個公投法的規定其實中選會是沒有審查權的所以當立法院真的提了這樣公投案我想中選會我如果說這個案子重新這個同樣發生的話中選會必須依法辦理那只是說確實這個用憲法
transcript.whisperx[554].start 15783.286
transcript.whisperx[554].end 15807.609
transcript.whisperx[554].text 就是公投去推翻憲法判決本身這個事情的這個議題我覺得我作為一個學者我是有一點疑慮的不過作為一個中選會這個獨立機關的角色我認為就是依法行政我想這是最優先的考量中選會去沒收立法院的這個提案那不就變成是太上立法院了對不對 而且你講到一個重點你今天質詢 我覺得你答詢得非常好你都是依法行政在做事情所以如果這個案子如果
transcript.whisperx[555].start 15808.67
transcript.whisperx[555].end 15815.296
transcript.whisperx[555].text 最近又被提出來 請依法行政來做事情不要急於去沒收 好不好好 好 非常謝謝謝謝委員 謝謝主席謝謝 我們感謝張之凱委員質詢
transcript.whisperx[556].start 15828.578
transcript.whisperx[556].end 15850.395
transcript.whisperx[556].text 我們繼續經營被提名人蘇志喬先生說明跟詢問都已經結束了在這裡被提名人蘇志喬先生可以先行離席我們休息兩分鐘 謝謝
transcript.whisperx[557].start 15858.928
transcript.whisperx[557].end 15867.874
transcript.whisperx[557].text 一幕,一幕啦,我們要五分啊,改兩分啊,開始啦,前輩,前輩,馬上好,欸,兩分鐘啊,DJ,啊,這樣喔,這個,這個,這個,這個主持人,
transcript.whisperx[558].start 15891.894
transcript.whisperx[558].end 15900.716
transcript.whisperx[558].text 今天等於說對我們來講就是七場啦所以一定要切啦對,對我們來講就是七場
transcript.whisperx[559].start 15912.664
transcript.whisperx[559].end 15925.411
transcript.whisperx[559].text 主席主席主席
transcript.whisperx[560].start 15938.533
transcript.whisperx[560].end 15939.394
transcript.whisperx[560].text 30秒30秒他有那個壓縮那個時間
transcript.whisperx[561].start 15967.372
transcript.whisperx[561].end 15979.099
transcript.whisperx[561].text 我們繼續進行被提名人陳忠義先生說明及詢問這中選會委員被提名人陳忠義先生說明
transcript.whisperx[562].start 15990.647
transcript.whisperx[562].end 16006.678
transcript.whisperx[562].text 主席 張紅蘿委員 吳啟明委員 在座各位官員我是這次中選委員被提名人陳忠義很榮幸也很高興能夠來立法院來答詢 接受審查
transcript.whisperx[563].start 16008.834
transcript.whisperx[563].end 16031.53
transcript.whisperx[563].text 我想今天坐下來 我是當然 人家說好酒定慢醉不是淡於中宿 那我想今天聽了吳思瑤的選舉創意美學我們很有啟發 也聽到張宏祿委員對選辦法第98條之一虛為欠席戶籍 意圖使人當選五年以下有期徒刑
transcript.whisperx[564].start 16032.23
transcript.whisperx[564].end 16044.938
transcript.whisperx[564].text 所以我們都聽到很多委員的寶貴意見我們都會吸收來加以運用那我有能性的通過的話我一定會秉持公正公平獨立專業依法來執行職務謝謝各位 謝謝 以上謝謝 感謝蕭明我們前期的委員長黃國昌委員黃國昌委員黃國昌委員不在
transcript.whisperx[565].start 16064.195
transcript.whisperx[565].end 16077.851
transcript.whisperx[565].text 比提名人陳忠義先生說明及諮詢已經結束了比提名人陳忠義先生可以先行離席
transcript.whisperx[566].start 16081.653
transcript.whisperx[566].end 16106.042
transcript.whisperx[566].text 本次會議定期的這項跟問出委比提名人的本院委員除了不在場議員全都已經發言完畢 審討結束委員有蘇巧慧 莊瑞雄 高金樹梅
transcript.whisperx[567].start 16107.369
transcript.whisperx[567].end 16129.395
transcript.whisperx[567].text 在博弈省發會所提出的書面執行列入紀錄 刊登公報委員會這順中間有要求提供相關資料與密度報告報告的部分將行政院與相關機關進行書面答覆
transcript.whisperx[568].start 16134.637
transcript.whisperx[568].end 16163.3
transcript.whisperx[568].text 報告聯席會對院會交付審查行政院寒送中央委員選舉委員會委員提名名單游一龍為委員並為主任委員胡柏諺為委員並為副主委委員黃文玲
transcript.whisperx[569].start 16164.434
transcript.whisperx[569].end 16176.704
transcript.whisperx[569].text 李立忠 蘇嘉鴻 蘇芝喬 陳忠義軍委委員請同意案
transcript.whisperx[570].start 16185.035
transcript.whisperx[570].end 16193.76
transcript.whisperx[570].text 審查完均做以下的關係本院審查完均依六款依之前行使法第29條的第三項規定以2月13日依據審查報告
transcript.whisperx[571].start 16205.937
transcript.whisperx[571].end 16210.68
transcript.whisperx[571].text 提請院會公決請問各位委員有沒有什麼意義沒有 我們就通過本案與院會討論的時候由王召集委員會補充說明請問各位委員 還有什麼問題沒有沒有 我們就通過
transcript.whisperx[572].start 16233.151
transcript.whisperx[572].end 16246.361
transcript.whisperx[572].text 本院各黨團隊被提名人的主席及四任性所提出的書面問題及行政院
transcript.whisperx[573].start 16248.015
transcript.whisperx[573].end 16269.671
transcript.whisperx[573].text 含糊就被提名人所提出的相關資料據列入紀錄刊登公報審查會到此結束本次議定處理完畢現在散會感謝大家謝謝大家
transcript.whisperx[574].start 16273.797
transcript.whisperx[574].end 16284.501
transcript.whisperx[574].text 現在兩雙腹耶醫生長,謝謝喔辛苦了,辛苦了,辛苦了,辛苦了加油,加油,加油謝謝,謝謝
transcript.whisperx[575].start 16298.899
transcript.whisperx[575].end 16320.981
transcript.whisperx[575].text 謝謝謝謝謝謝謝謝