iVOD / 15845

Field Value
IVOD_ID 15845
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/15845
日期 2024-04-24
會議資料.會議代碼 委員會-11-1-36-16
會議資料.會議代碼:str 第11屆第1會期司法及法制委員會第16次全體委員會議
會議資料.屆 11
會議資料.會期 1
會議資料.會次 16
會議資料.種類 委員會
會議資料.委員會代碼[0] 36
會議資料.委員會代碼:str[0] 司法及法制委員會
會議資料.標題 第11屆第1會期司法及法制委員會第16次全體委員會議
影片種類 Full
開始時間 2024-04-24T08:31:47+08:00
結束時間 2024-04-24T12:19:00+08:00
影片長度 03:47:13
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8d241381c4f8c7fc1c34ab709cdaffb07931ae751f1d07213be8d109af184be41a3e2fa17c92ea065ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-04-24T09:00:00+08:00
會議名稱 立法院第11屆第1會期司法及法制委員會第16次全體委員會議(事由:邀請司法院秘書長、法務部部長率所屬相關單位列席就「如何透過行政簡化、訴訟減量與科技運用以降低基層司法體系負擔之成效與精進期程」進行專題報告,並備質詢。)
委員名稱 完整會議
委員發言時間 08:31:47 - 12:19:00
transcript.pyannote[0].speaker SPEAKER_23
transcript.pyannote[0].start 1775.07846875
transcript.pyannote[0].end 1779.51659375
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 1780.02284375
transcript.pyannote[1].end 1783.73534375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 1784.44409375
transcript.pyannote[2].end 1789.33784375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 1789.57409375
transcript.pyannote[3].end 1801.20096875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 1801.30221875
transcript.pyannote[4].end 1804.32284375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 1804.55909375
transcript.pyannote[5].end 1806.41534375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 1806.76971875
transcript.pyannote[6].end 1809.60471875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 1809.82409375
transcript.pyannote[7].end 1815.64596875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 1815.91596875
transcript.pyannote[8].end 1821.51846875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 1823.07096875
transcript.pyannote[9].end 1831.59284375
transcript.pyannote[10].speaker SPEAKER_03
transcript.pyannote[10].start 1832.89221875
transcript.pyannote[10].end 1838.30909375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 1838.51159375
transcript.pyannote[11].end 1842.08909375
transcript.pyannote[12].speaker SPEAKER_03
transcript.pyannote[12].start 1843.37159375
transcript.pyannote[12].end 1850.76284375
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 1852.16346875
transcript.pyannote[13].end 1862.17034375
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 1862.20409375
transcript.pyannote[14].end 1863.58784375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 1863.99284375
transcript.pyannote[15].end 1878.70784375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 1879.06221875
transcript.pyannote[16].end 1880.68221875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 1881.79596875
transcript.pyannote[17].end 1884.68159375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 1885.84596875
transcript.pyannote[18].end 1890.43596875
transcript.pyannote[19].speaker SPEAKER_16
transcript.pyannote[19].start 1900.00409375
transcript.pyannote[19].end 1901.52284375
transcript.pyannote[20].speaker SPEAKER_16
transcript.pyannote[20].start 1901.80971875
transcript.pyannote[20].end 1903.02471875
transcript.pyannote[21].speaker SPEAKER_16
transcript.pyannote[21].start 1903.59846875
transcript.pyannote[21].end 1907.36159375
transcript.pyannote[22].speaker SPEAKER_16
transcript.pyannote[22].start 1907.71596875
transcript.pyannote[22].end 1908.72846875
transcript.pyannote[23].speaker SPEAKER_16
transcript.pyannote[23].start 1909.16721875
transcript.pyannote[23].end 1910.90534375
transcript.pyannote[24].speaker SPEAKER_16
transcript.pyannote[24].start 1911.31034375
transcript.pyannote[24].end 1912.64346875
transcript.pyannote[25].speaker SPEAKER_16
transcript.pyannote[25].start 1913.47034375
transcript.pyannote[25].end 1915.83284375
transcript.pyannote[26].speaker SPEAKER_16
transcript.pyannote[26].start 1917.28409375
transcript.pyannote[26].end 1918.19534375
transcript.pyannote[27].speaker SPEAKER_16
transcript.pyannote[27].start 1918.98846875
transcript.pyannote[27].end 1920.08534375
transcript.pyannote[28].speaker SPEAKER_16
transcript.pyannote[28].start 1920.81096875
transcript.pyannote[28].end 1921.30034375
transcript.pyannote[29].speaker SPEAKER_16
transcript.pyannote[29].start 1922.05971875
transcript.pyannote[29].end 1923.25784375
transcript.pyannote[30].speaker SPEAKER_16
transcript.pyannote[30].start 1924.08471875
transcript.pyannote[30].end 1925.14784375
transcript.pyannote[31].speaker SPEAKER_16
transcript.pyannote[31].start 1925.68784375
transcript.pyannote[31].end 1929.70409375
transcript.pyannote[32].speaker SPEAKER_16
transcript.pyannote[32].start 1930.05846875
transcript.pyannote[32].end 1932.47159375
transcript.pyannote[33].speaker SPEAKER_16
transcript.pyannote[33].start 1932.92721875
transcript.pyannote[33].end 1934.80034375
transcript.pyannote[34].speaker SPEAKER_16
transcript.pyannote[34].start 1935.27284375
transcript.pyannote[34].end 1937.87159375
transcript.pyannote[35].speaker SPEAKER_16
transcript.pyannote[35].start 1939.08659375
transcript.pyannote[35].end 1943.96346875
transcript.pyannote[36].speaker SPEAKER_16
transcript.pyannote[36].start 1945.00971875
transcript.pyannote[36].end 1946.05596875
transcript.pyannote[37].speaker SPEAKER_16
transcript.pyannote[37].start 1946.51159375
transcript.pyannote[37].end 1950.52784375
transcript.pyannote[38].speaker SPEAKER_16
transcript.pyannote[38].start 1950.57846875
transcript.pyannote[38].end 1953.46409375
transcript.pyannote[39].speaker SPEAKER_16
transcript.pyannote[39].start 1954.02096875
transcript.pyannote[39].end 1956.23159375
transcript.pyannote[40].speaker SPEAKER_16
transcript.pyannote[40].start 1956.51846875
transcript.pyannote[40].end 1958.57721875
transcript.pyannote[41].speaker SPEAKER_16
transcript.pyannote[41].start 1958.81346875
transcript.pyannote[41].end 1960.73721875
transcript.pyannote[42].speaker SPEAKER_16
transcript.pyannote[42].start 1961.32784375
transcript.pyannote[42].end 1962.13784375
transcript.pyannote[43].speaker SPEAKER_16
transcript.pyannote[43].start 1962.64409375
transcript.pyannote[43].end 1965.37784375
transcript.pyannote[44].speaker SPEAKER_16
transcript.pyannote[44].start 1966.39034375
transcript.pyannote[44].end 1966.82909375
transcript.pyannote[45].speaker SPEAKER_16
transcript.pyannote[45].start 1967.36909375
transcript.pyannote[45].end 1969.95096875
transcript.pyannote[46].speaker SPEAKER_16
transcript.pyannote[46].start 1970.79471875
transcript.pyannote[46].end 1974.28784375
transcript.pyannote[47].speaker SPEAKER_16
transcript.pyannote[47].start 1974.81096875
transcript.pyannote[47].end 1984.54784375
transcript.pyannote[48].speaker SPEAKER_16
transcript.pyannote[48].start 1985.03721875
transcript.pyannote[48].end 1987.58534375
transcript.pyannote[49].speaker SPEAKER_16
transcript.pyannote[49].start 1989.13784375
transcript.pyannote[49].end 1993.08659375
transcript.pyannote[50].speaker SPEAKER_16
transcript.pyannote[50].start 1993.47471875
transcript.pyannote[50].end 1994.38596875
transcript.pyannote[51].speaker SPEAKER_16
transcript.pyannote[51].start 1995.39846875
transcript.pyannote[51].end 1995.83721875
transcript.pyannote[52].speaker SPEAKER_16
transcript.pyannote[52].start 1996.95096875
transcript.pyannote[52].end 2001.38909375
transcript.pyannote[53].speaker SPEAKER_16
transcript.pyannote[53].start 2001.87846875
transcript.pyannote[53].end 2002.41846875
transcript.pyannote[54].speaker SPEAKER_16
transcript.pyannote[54].start 2002.58721875
transcript.pyannote[54].end 2006.35034375
transcript.pyannote[55].speaker SPEAKER_16
transcript.pyannote[55].start 2007.43034375
transcript.pyannote[55].end 2009.23596875
transcript.pyannote[56].speaker SPEAKER_16
transcript.pyannote[56].start 2010.24846875
transcript.pyannote[56].end 2011.68284375
transcript.pyannote[57].speaker SPEAKER_16
transcript.pyannote[57].start 2012.49284375
transcript.pyannote[57].end 2015.83409375
transcript.pyannote[58].speaker SPEAKER_16
transcript.pyannote[58].start 2017.11659375
transcript.pyannote[58].end 2019.37784375
transcript.pyannote[59].speaker SPEAKER_16
transcript.pyannote[59].start 2019.63096875
transcript.pyannote[59].end 2025.79034375
transcript.pyannote[60].speaker SPEAKER_16
transcript.pyannote[60].start 2026.21221875
transcript.pyannote[60].end 2030.93721875
transcript.pyannote[61].speaker SPEAKER_16
transcript.pyannote[61].start 2032.18596875
transcript.pyannote[61].end 2033.19846875
transcript.pyannote[62].speaker SPEAKER_16
transcript.pyannote[62].start 2033.82284375
transcript.pyannote[62].end 2035.17284375
transcript.pyannote[63].speaker SPEAKER_16
transcript.pyannote[63].start 2035.62846875
transcript.pyannote[63].end 2037.04596875
transcript.pyannote[64].speaker SPEAKER_16
transcript.pyannote[64].start 2037.73784375
transcript.pyannote[64].end 2040.96096875
transcript.pyannote[65].speaker SPEAKER_16
transcript.pyannote[65].start 2041.43346875
transcript.pyannote[65].end 2044.16721875
transcript.pyannote[66].speaker SPEAKER_16
transcript.pyannote[66].start 2044.47096875
transcript.pyannote[66].end 2046.32721875
transcript.pyannote[67].speaker SPEAKER_16
transcript.pyannote[67].start 2047.25534375
transcript.pyannote[67].end 2051.59221875
transcript.pyannote[68].speaker SPEAKER_16
transcript.pyannote[68].start 2051.92971875
transcript.pyannote[68].end 2054.86596875
transcript.pyannote[69].speaker SPEAKER_16
transcript.pyannote[69].start 2055.28784375
transcript.pyannote[69].end 2060.95784375
transcript.pyannote[70].speaker SPEAKER_16
transcript.pyannote[70].start 2062.07159375
transcript.pyannote[70].end 2065.58159375
transcript.pyannote[71].speaker SPEAKER_16
transcript.pyannote[71].start 2066.05409375
transcript.pyannote[71].end 2066.91471875
transcript.pyannote[72].speaker SPEAKER_16
transcript.pyannote[72].start 2067.64034375
transcript.pyannote[72].end 2072.28096875
transcript.pyannote[73].speaker SPEAKER_16
transcript.pyannote[73].start 2072.78721875
transcript.pyannote[73].end 2073.36096875
transcript.pyannote[74].speaker SPEAKER_16
transcript.pyannote[74].start 2074.00221875
transcript.pyannote[74].end 2074.94721875
transcript.pyannote[75].speaker SPEAKER_16
transcript.pyannote[75].start 2075.48721875
transcript.pyannote[75].end 2076.16221875
transcript.pyannote[76].speaker SPEAKER_16
transcript.pyannote[76].start 2077.15784375
transcript.pyannote[76].end 2081.20784375
transcript.pyannote[77].speaker SPEAKER_16
transcript.pyannote[77].start 2081.61284375
transcript.pyannote[77].end 2087.08034375
transcript.pyannote[78].speaker SPEAKER_16
transcript.pyannote[78].start 2087.63721875
transcript.pyannote[78].end 2088.88596875
transcript.pyannote[79].speaker SPEAKER_16
transcript.pyannote[79].start 2089.25721875
transcript.pyannote[79].end 2093.59409375
transcript.pyannote[80].speaker SPEAKER_16
transcript.pyannote[80].start 2094.11721875
transcript.pyannote[80].end 2096.02409375
transcript.pyannote[81].speaker SPEAKER_16
transcript.pyannote[81].start 2096.32784375
transcript.pyannote[81].end 2097.50909375
transcript.pyannote[82].speaker SPEAKER_16
transcript.pyannote[82].start 2098.47096875
transcript.pyannote[82].end 2098.82534375
transcript.pyannote[83].speaker SPEAKER_16
transcript.pyannote[83].start 2099.65221875
transcript.pyannote[83].end 2106.97596875
transcript.pyannote[84].speaker SPEAKER_16
transcript.pyannote[84].start 2108.64659375
transcript.pyannote[84].end 2111.48159375
transcript.pyannote[85].speaker SPEAKER_16
transcript.pyannote[85].start 2112.12284375
transcript.pyannote[85].end 2114.72159375
transcript.pyannote[86].speaker SPEAKER_16
transcript.pyannote[86].start 2114.95784375
transcript.pyannote[86].end 2117.77596875
transcript.pyannote[87].speaker SPEAKER_16
transcript.pyannote[87].start 2118.41721875
transcript.pyannote[87].end 2121.89346875
transcript.pyannote[88].speaker SPEAKER_16
transcript.pyannote[88].start 2122.14659375
transcript.pyannote[88].end 2124.05346875
transcript.pyannote[89].speaker SPEAKER_16
transcript.pyannote[89].start 2124.59346875
transcript.pyannote[89].end 2126.58471875
transcript.pyannote[90].speaker SPEAKER_16
transcript.pyannote[90].start 2126.95596875
transcript.pyannote[90].end 2128.40721875
transcript.pyannote[91].speaker SPEAKER_16
transcript.pyannote[91].start 2128.96409375
transcript.pyannote[91].end 2130.02721875
transcript.pyannote[92].speaker SPEAKER_16
transcript.pyannote[92].start 2131.34346875
transcript.pyannote[92].end 2134.66784375
transcript.pyannote[93].speaker SPEAKER_16
transcript.pyannote[93].start 2135.27534375
transcript.pyannote[93].end 2136.69284375
transcript.pyannote[94].speaker SPEAKER_16
transcript.pyannote[94].start 2137.60409375
transcript.pyannote[94].end 2140.69221875
transcript.pyannote[95].speaker SPEAKER_16
transcript.pyannote[95].start 2140.94534375
transcript.pyannote[95].end 2141.75534375
transcript.pyannote[96].speaker SPEAKER_16
transcript.pyannote[96].start 2142.17721875
transcript.pyannote[96].end 2144.33721875
transcript.pyannote[97].speaker SPEAKER_16
transcript.pyannote[97].start 2144.91096875
transcript.pyannote[97].end 2150.66534375
transcript.pyannote[98].speaker SPEAKER_16
transcript.pyannote[98].start 2151.05346875
transcript.pyannote[98].end 2153.41596875
transcript.pyannote[99].speaker SPEAKER_16
transcript.pyannote[99].start 2154.78284375
transcript.pyannote[99].end 2157.22971875
transcript.pyannote[100].speaker SPEAKER_16
transcript.pyannote[100].start 2157.49971875
transcript.pyannote[100].end 2159.00159375
transcript.pyannote[101].speaker SPEAKER_16
transcript.pyannote[101].start 2159.40659375
transcript.pyannote[101].end 2166.98346875
transcript.pyannote[102].speaker SPEAKER_16
transcript.pyannote[102].start 2167.16909375
transcript.pyannote[102].end 2175.53909375
transcript.pyannote[103].speaker SPEAKER_16
transcript.pyannote[103].start 2178.44159375
transcript.pyannote[103].end 2179.04909375
transcript.pyannote[104].speaker SPEAKER_16
transcript.pyannote[104].start 2179.36971875
transcript.pyannote[104].end 2181.79971875
transcript.pyannote[105].speaker SPEAKER_16
transcript.pyannote[105].start 2181.93471875
transcript.pyannote[105].end 2186.74409375
transcript.pyannote[106].speaker SPEAKER_16
transcript.pyannote[106].start 2187.01409375
transcript.pyannote[106].end 2189.81534375
transcript.pyannote[107].speaker SPEAKER_16
transcript.pyannote[107].start 2190.62534375
transcript.pyannote[107].end 2192.78534375
transcript.pyannote[108].speaker SPEAKER_16
transcript.pyannote[108].start 2193.34221875
transcript.pyannote[108].end 2194.42221875
transcript.pyannote[109].speaker SPEAKER_16
transcript.pyannote[109].start 2194.65846875
transcript.pyannote[109].end 2195.40096875
transcript.pyannote[110].speaker SPEAKER_16
transcript.pyannote[110].start 2195.94096875
transcript.pyannote[110].end 2200.02471875
transcript.pyannote[111].speaker SPEAKER_16
transcript.pyannote[111].start 2200.34534375
transcript.pyannote[111].end 2202.55596875
transcript.pyannote[112].speaker SPEAKER_16
transcript.pyannote[112].start 2202.99471875
transcript.pyannote[112].end 2206.89284375
transcript.pyannote[113].speaker SPEAKER_16
transcript.pyannote[113].start 2207.97284375
transcript.pyannote[113].end 2211.01034375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 2210.67284375
transcript.pyannote[114].end 2211.58409375
transcript.pyannote[115].speaker SPEAKER_16
transcript.pyannote[115].start 2212.83284375
transcript.pyannote[115].end 2213.76096875
transcript.pyannote[116].speaker SPEAKER_16
transcript.pyannote[116].start 2214.90846875
transcript.pyannote[116].end 2218.06409375
transcript.pyannote[117].speaker SPEAKER_16
transcript.pyannote[117].start 2218.23284375
transcript.pyannote[117].end 2224.25721875
transcript.pyannote[118].speaker SPEAKER_16
transcript.pyannote[118].start 2225.13471875
transcript.pyannote[118].end 2226.40034375
transcript.pyannote[119].speaker SPEAKER_16
transcript.pyannote[119].start 2226.85596875
transcript.pyannote[119].end 2228.66159375
transcript.pyannote[120].speaker SPEAKER_16
transcript.pyannote[120].start 2229.94409375
transcript.pyannote[120].end 2230.18034375
transcript.pyannote[121].speaker SPEAKER_16
transcript.pyannote[121].start 2230.50096875
transcript.pyannote[121].end 2232.82971875
transcript.pyannote[122].speaker SPEAKER_16
transcript.pyannote[122].start 2233.08284375
transcript.pyannote[122].end 2236.45784375
transcript.pyannote[123].speaker SPEAKER_16
transcript.pyannote[123].start 2236.60971875
transcript.pyannote[123].end 2240.01846875
transcript.pyannote[124].speaker SPEAKER_16
transcript.pyannote[124].start 2240.40659375
transcript.pyannote[124].end 2241.16596875
transcript.pyannote[125].speaker SPEAKER_16
transcript.pyannote[125].start 2241.65534375
transcript.pyannote[125].end 2245.03034375
transcript.pyannote[126].speaker SPEAKER_16
transcript.pyannote[126].start 2245.21596875
transcript.pyannote[126].end 2248.54034375
transcript.pyannote[127].speaker SPEAKER_16
transcript.pyannote[127].start 2249.41784375
transcript.pyannote[127].end 2249.99159375
transcript.pyannote[128].speaker SPEAKER_16
transcript.pyannote[128].start 2250.43034375
transcript.pyannote[128].end 2251.22346875
transcript.pyannote[129].speaker SPEAKER_16
transcript.pyannote[129].start 2252.55659375
transcript.pyannote[129].end 2253.78846875
transcript.pyannote[130].speaker SPEAKER_16
transcript.pyannote[130].start 2254.98659375
transcript.pyannote[130].end 2258.95221875
transcript.pyannote[131].speaker SPEAKER_16
transcript.pyannote[131].start 2259.30659375
transcript.pyannote[131].end 2261.92221875
transcript.pyannote[132].speaker SPEAKER_16
transcript.pyannote[132].start 2262.56346875
transcript.pyannote[132].end 2267.03534375
transcript.pyannote[133].speaker SPEAKER_16
transcript.pyannote[133].start 2267.37284375
transcript.pyannote[133].end 2269.29659375
transcript.pyannote[134].speaker SPEAKER_16
transcript.pyannote[134].start 2270.07284375
transcript.pyannote[134].end 2280.33284375
transcript.pyannote[135].speaker SPEAKER_16
transcript.pyannote[135].start 2281.29471875
transcript.pyannote[135].end 2286.50909375
transcript.pyannote[136].speaker SPEAKER_16
transcript.pyannote[136].start 2287.08284375
transcript.pyannote[136].end 2289.56346875
transcript.pyannote[137].speaker SPEAKER_16
transcript.pyannote[137].start 2290.00221875
transcript.pyannote[137].end 2290.40721875
transcript.pyannote[138].speaker SPEAKER_16
transcript.pyannote[138].start 2290.71096875
transcript.pyannote[138].end 2298.33846875
transcript.pyannote[139].speaker SPEAKER_16
transcript.pyannote[139].start 2298.77721875
transcript.pyannote[139].end 2305.17284375
transcript.pyannote[140].speaker SPEAKER_16
transcript.pyannote[140].start 2305.67909375
transcript.pyannote[140].end 2310.45471875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 2313.99846875
transcript.pyannote[141].end 2315.51721875
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 2315.68596875
transcript.pyannote[142].end 2325.18659375
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 2326.99221875
transcript.pyannote[143].end 2329.75971875
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 2330.89034375
transcript.pyannote[144].end 2333.94471875
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 2334.80534375
transcript.pyannote[145].end 2335.66596875
transcript.pyannote[146].speaker SPEAKER_25
transcript.pyannote[146].start 2342.65221875
transcript.pyannote[146].end 2344.86284375
transcript.pyannote[147].speaker SPEAKER_25
transcript.pyannote[147].start 2345.60534375
transcript.pyannote[147].end 2353.50284375
transcript.pyannote[148].speaker SPEAKER_25
transcript.pyannote[148].start 2354.78534375
transcript.pyannote[148].end 2360.69159375
transcript.pyannote[149].speaker SPEAKER_25
transcript.pyannote[149].start 2360.91096875
transcript.pyannote[149].end 2366.78346875
transcript.pyannote[150].speaker SPEAKER_25
transcript.pyannote[150].start 2367.12096875
transcript.pyannote[150].end 2369.36534375
transcript.pyannote[151].speaker SPEAKER_25
transcript.pyannote[151].start 2369.50034375
transcript.pyannote[151].end 2376.26721875
transcript.pyannote[152].speaker SPEAKER_25
transcript.pyannote[152].start 2376.77346875
transcript.pyannote[152].end 2378.59596875
transcript.pyannote[153].speaker SPEAKER_25
transcript.pyannote[153].start 2379.23721875
transcript.pyannote[153].end 2388.40034375
transcript.pyannote[154].speaker SPEAKER_25
transcript.pyannote[154].start 2388.80534375
transcript.pyannote[154].end 2391.55596875
transcript.pyannote[155].speaker SPEAKER_25
transcript.pyannote[155].start 2392.02846875
transcript.pyannote[155].end 2397.83346875
transcript.pyannote[156].speaker SPEAKER_25
transcript.pyannote[156].start 2398.62659375
transcript.pyannote[156].end 2418.74159375
transcript.pyannote[157].speaker SPEAKER_25
transcript.pyannote[157].start 2420.10846875
transcript.pyannote[157].end 2421.71159375
transcript.pyannote[158].speaker SPEAKER_25
transcript.pyannote[158].start 2422.35284375
transcript.pyannote[158].end 2427.01034375
transcript.pyannote[159].speaker SPEAKER_25
transcript.pyannote[159].start 2427.41534375
transcript.pyannote[159].end 2446.02846875
transcript.pyannote[160].speaker SPEAKER_25
transcript.pyannote[160].start 2446.77096875
transcript.pyannote[160].end 2455.91721875
transcript.pyannote[161].speaker SPEAKER_25
transcript.pyannote[161].start 2456.57534375
transcript.pyannote[161].end 2461.03034375
transcript.pyannote[162].speaker SPEAKER_25
transcript.pyannote[162].start 2461.70534375
transcript.pyannote[162].end 2469.56909375
transcript.pyannote[163].speaker SPEAKER_25
transcript.pyannote[163].start 2469.95721875
transcript.pyannote[163].end 2480.43659375
transcript.pyannote[164].speaker SPEAKER_25
transcript.pyannote[164].start 2481.41534375
transcript.pyannote[164].end 2481.82034375
transcript.pyannote[165].speaker SPEAKER_25
transcript.pyannote[165].start 2482.25909375
transcript.pyannote[165].end 2485.16159375
transcript.pyannote[166].speaker SPEAKER_25
transcript.pyannote[166].start 2485.92096875
transcript.pyannote[166].end 2489.05971875
transcript.pyannote[167].speaker SPEAKER_25
transcript.pyannote[167].start 2489.43096875
transcript.pyannote[167].end 2494.40909375
transcript.pyannote[168].speaker SPEAKER_25
transcript.pyannote[168].start 2494.96596875
transcript.pyannote[168].end 2500.06221875
transcript.pyannote[169].speaker SPEAKER_25
transcript.pyannote[169].start 2500.50096875
transcript.pyannote[169].end 2501.90159375
transcript.pyannote[170].speaker SPEAKER_25
transcript.pyannote[170].start 2503.06596875
transcript.pyannote[170].end 2509.66409375
transcript.pyannote[171].speaker SPEAKER_25
transcript.pyannote[171].start 2509.98471875
transcript.pyannote[171].end 2515.06409375
transcript.pyannote[172].speaker SPEAKER_25
transcript.pyannote[172].start 2515.94159375
transcript.pyannote[172].end 2519.46846875
transcript.pyannote[173].speaker SPEAKER_25
transcript.pyannote[173].start 2520.05909375
transcript.pyannote[173].end 2523.46784375
transcript.pyannote[174].speaker SPEAKER_25
transcript.pyannote[174].start 2524.17659375
transcript.pyannote[174].end 2531.88846875
transcript.pyannote[175].speaker SPEAKER_25
transcript.pyannote[175].start 2533.35659375
transcript.pyannote[175].end 2535.34784375
transcript.pyannote[176].speaker SPEAKER_25
transcript.pyannote[176].start 2535.75284375
transcript.pyannote[176].end 2537.92971875
transcript.pyannote[177].speaker SPEAKER_25
transcript.pyannote[177].start 2538.53721875
transcript.pyannote[177].end 2540.19096875
transcript.pyannote[178].speaker SPEAKER_25
transcript.pyannote[178].start 2540.46096875
transcript.pyannote[178].end 2546.08034375
transcript.pyannote[179].speaker SPEAKER_25
transcript.pyannote[179].start 2546.58659375
transcript.pyannote[179].end 2550.61971875
transcript.pyannote[180].speaker SPEAKER_25
transcript.pyannote[180].start 2551.96971875
transcript.pyannote[180].end 2565.53721875
transcript.pyannote[181].speaker SPEAKER_25
transcript.pyannote[181].start 2567.03909375
transcript.pyannote[181].end 2571.39284375
transcript.pyannote[182].speaker SPEAKER_25
transcript.pyannote[182].start 2572.40534375
transcript.pyannote[182].end 2576.87721875
transcript.pyannote[183].speaker SPEAKER_25
transcript.pyannote[183].start 2576.96159375
transcript.pyannote[183].end 2585.04471875
transcript.pyannote[184].speaker SPEAKER_25
transcript.pyannote[184].start 2585.50034375
transcript.pyannote[184].end 2592.89159375
transcript.pyannote[185].speaker SPEAKER_25
transcript.pyannote[185].start 2593.33034375
transcript.pyannote[185].end 2599.91159375
transcript.pyannote[186].speaker SPEAKER_25
transcript.pyannote[186].start 2600.06346875
transcript.pyannote[186].end 2608.07909375
transcript.pyannote[187].speaker SPEAKER_25
transcript.pyannote[187].start 2609.46284375
transcript.pyannote[187].end 2611.20096875
transcript.pyannote[188].speaker SPEAKER_25
transcript.pyannote[188].start 2611.90971875
transcript.pyannote[188].end 2629.83096875
transcript.pyannote[189].speaker SPEAKER_25
transcript.pyannote[189].start 2630.03346875
transcript.pyannote[189].end 2632.14284375
transcript.pyannote[190].speaker SPEAKER_25
transcript.pyannote[190].start 2632.75034375
transcript.pyannote[190].end 2636.93534375
transcript.pyannote[191].speaker SPEAKER_25
transcript.pyannote[191].start 2637.50909375
transcript.pyannote[191].end 2640.47909375
transcript.pyannote[192].speaker SPEAKER_25
transcript.pyannote[192].start 2640.90096875
transcript.pyannote[192].end 2641.96409375
transcript.pyannote[193].speaker SPEAKER_25
transcript.pyannote[193].start 2642.48721875
transcript.pyannote[193].end 2648.10659375
transcript.pyannote[194].speaker SPEAKER_25
transcript.pyannote[194].start 2648.41034375
transcript.pyannote[194].end 2649.40596875
transcript.pyannote[195].speaker SPEAKER_25
transcript.pyannote[195].start 2650.62096875
transcript.pyannote[195].end 2664.59346875
transcript.pyannote[196].speaker SPEAKER_25
transcript.pyannote[196].start 2664.71159375
transcript.pyannote[196].end 2668.03596875
transcript.pyannote[197].speaker SPEAKER_25
transcript.pyannote[197].start 2668.39034375
transcript.pyannote[197].end 2671.10721875
transcript.pyannote[198].speaker SPEAKER_25
transcript.pyannote[198].start 2671.76534375
transcript.pyannote[198].end 2683.81409375
transcript.pyannote[199].speaker SPEAKER_25
transcript.pyannote[199].start 2683.91534375
transcript.pyannote[199].end 2685.80534375
transcript.pyannote[200].speaker SPEAKER_25
transcript.pyannote[200].start 2685.95721875
transcript.pyannote[200].end 2686.81784375
transcript.pyannote[201].speaker SPEAKER_25
transcript.pyannote[201].start 2687.25659375
transcript.pyannote[201].end 2693.50034375
transcript.pyannote[202].speaker SPEAKER_25
transcript.pyannote[202].start 2694.32721875
transcript.pyannote[202].end 2696.94284375
transcript.pyannote[203].speaker SPEAKER_25
transcript.pyannote[203].start 2697.48284375
transcript.pyannote[203].end 2720.09534375
transcript.pyannote[204].speaker SPEAKER_25
transcript.pyannote[204].start 2720.98971875
transcript.pyannote[204].end 2731.35096875
transcript.pyannote[205].speaker SPEAKER_25
transcript.pyannote[205].start 2731.55346875
transcript.pyannote[205].end 2743.66971875
transcript.pyannote[206].speaker SPEAKER_25
transcript.pyannote[206].start 2744.00721875
transcript.pyannote[206].end 2744.83409375
transcript.pyannote[207].speaker SPEAKER_25
transcript.pyannote[207].start 2745.96471875
transcript.pyannote[207].end 2751.56721875
transcript.pyannote[208].speaker SPEAKER_25
transcript.pyannote[208].start 2752.02284375
transcript.pyannote[208].end 2766.33284375
transcript.pyannote[209].speaker SPEAKER_25
transcript.pyannote[209].start 2766.78846875
transcript.pyannote[209].end 2779.66409375
transcript.pyannote[210].speaker SPEAKER_25
transcript.pyannote[210].start 2779.74846875
transcript.pyannote[210].end 2813.78534375
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 2813.78534375
transcript.pyannote[211].end 2813.83596875
transcript.pyannote[212].speaker SPEAKER_25
transcript.pyannote[212].start 2815.42221875
transcript.pyannote[212].end 2815.43909375
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 2815.43909375
transcript.pyannote[213].end 2824.50096875
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 2824.92284375
transcript.pyannote[214].end 2830.12034375
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 2830.28909375
transcript.pyannote[215].end 2845.44284375
transcript.pyannote[216].speaker SPEAKER_12
transcript.pyannote[216].start 2857.28909375
transcript.pyannote[216].end 2860.51221875
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 2860.98471875
transcript.pyannote[217].end 2861.89596875
transcript.pyannote[218].speaker SPEAKER_12
transcript.pyannote[218].start 2868.67971875
transcript.pyannote[218].end 2869.91159375
transcript.pyannote[219].speaker SPEAKER_12
transcript.pyannote[219].start 2871.44721875
transcript.pyannote[219].end 2872.59471875
transcript.pyannote[220].speaker SPEAKER_12
transcript.pyannote[220].start 2873.30346875
transcript.pyannote[220].end 2875.86846875
transcript.pyannote[221].speaker SPEAKER_12
transcript.pyannote[221].start 2876.72909375
transcript.pyannote[221].end 2882.33159375
transcript.pyannote[222].speaker SPEAKER_12
transcript.pyannote[222].start 2882.46659375
transcript.pyannote[222].end 2888.54159375
transcript.pyannote[223].speaker SPEAKER_12
transcript.pyannote[223].start 2889.43596875
transcript.pyannote[223].end 2893.50284375
transcript.pyannote[224].speaker SPEAKER_12
transcript.pyannote[224].start 2894.24534375
transcript.pyannote[224].end 2897.14784375
transcript.pyannote[225].speaker SPEAKER_12
transcript.pyannote[225].start 2897.94096875
transcript.pyannote[225].end 2901.45096875
transcript.pyannote[226].speaker SPEAKER_12
transcript.pyannote[226].start 2901.97409375
transcript.pyannote[226].end 2904.53909375
transcript.pyannote[227].speaker SPEAKER_12
transcript.pyannote[227].start 2905.14659375
transcript.pyannote[227].end 2908.99409375
transcript.pyannote[228].speaker SPEAKER_12
transcript.pyannote[228].start 2909.66909375
transcript.pyannote[228].end 2911.03596875
transcript.pyannote[229].speaker SPEAKER_12
transcript.pyannote[229].start 2911.13721875
transcript.pyannote[229].end 2912.21721875
transcript.pyannote[230].speaker SPEAKER_12
transcript.pyannote[230].start 2912.63909375
transcript.pyannote[230].end 2916.48659375
transcript.pyannote[231].speaker SPEAKER_12
transcript.pyannote[231].start 2917.41471875
transcript.pyannote[231].end 2922.69659375
transcript.pyannote[232].speaker SPEAKER_12
transcript.pyannote[232].start 2923.82721875
transcript.pyannote[232].end 2928.16409375
transcript.pyannote[233].speaker SPEAKER_12
transcript.pyannote[233].start 2928.50159375
transcript.pyannote[233].end 2932.45034375
transcript.pyannote[234].speaker SPEAKER_12
transcript.pyannote[234].start 2932.77096875
transcript.pyannote[234].end 2941.30971875
transcript.pyannote[235].speaker SPEAKER_12
transcript.pyannote[235].start 2941.74846875
transcript.pyannote[235].end 2942.55846875
transcript.pyannote[236].speaker SPEAKER_12
transcript.pyannote[236].start 2943.04784375
transcript.pyannote[236].end 2960.93534375
transcript.pyannote[237].speaker SPEAKER_12
transcript.pyannote[237].start 2961.03659375
transcript.pyannote[237].end 2964.88409375
transcript.pyannote[238].speaker SPEAKER_12
transcript.pyannote[238].start 2965.20471875
transcript.pyannote[238].end 2969.10284375
transcript.pyannote[239].speaker SPEAKER_12
transcript.pyannote[239].start 2969.64284375
transcript.pyannote[239].end 2976.20721875
transcript.pyannote[240].speaker SPEAKER_12
transcript.pyannote[240].start 2976.78096875
transcript.pyannote[240].end 2989.42034375
transcript.pyannote[241].speaker SPEAKER_12
transcript.pyannote[241].start 2990.02784375
transcript.pyannote[241].end 3002.61659375
transcript.pyannote[242].speaker SPEAKER_12
transcript.pyannote[242].start 3002.88659375
transcript.pyannote[242].end 3004.10159375
transcript.pyannote[243].speaker SPEAKER_12
transcript.pyannote[243].start 3004.57409375
transcript.pyannote[243].end 3012.58971875
transcript.pyannote[244].speaker SPEAKER_12
transcript.pyannote[244].start 3013.53471875
transcript.pyannote[244].end 3024.04784375
transcript.pyannote[245].speaker SPEAKER_16
transcript.pyannote[245].start 3024.04784375
transcript.pyannote[245].end 3024.19971875
transcript.pyannote[246].speaker SPEAKER_12
transcript.pyannote[246].start 3024.19971875
transcript.pyannote[246].end 3025.71846875
transcript.pyannote[247].speaker SPEAKER_12
transcript.pyannote[247].start 3026.39346875
transcript.pyannote[247].end 3035.91096875
transcript.pyannote[248].speaker SPEAKER_12
transcript.pyannote[248].start 3036.36659375
transcript.pyannote[248].end 3038.94846875
transcript.pyannote[249].speaker SPEAKER_12
transcript.pyannote[249].start 3039.69096875
transcript.pyannote[249].end 3044.93909375
transcript.pyannote[250].speaker SPEAKER_12
transcript.pyannote[250].start 3045.83346875
transcript.pyannote[250].end 3052.54971875
transcript.pyannote[251].speaker SPEAKER_12
transcript.pyannote[251].start 3053.41034375
transcript.pyannote[251].end 3061.45971875
transcript.pyannote[252].speaker SPEAKER_12
transcript.pyannote[252].start 3062.62409375
transcript.pyannote[252].end 3064.02471875
transcript.pyannote[253].speaker SPEAKER_12
transcript.pyannote[253].start 3065.47596875
transcript.pyannote[253].end 3069.13784375
transcript.pyannote[254].speaker SPEAKER_12
transcript.pyannote[254].start 3069.44159375
transcript.pyannote[254].end 3070.63971875
transcript.pyannote[255].speaker SPEAKER_12
transcript.pyannote[255].start 3071.02784375
transcript.pyannote[255].end 3071.90534375
transcript.pyannote[256].speaker SPEAKER_12
transcript.pyannote[256].start 3072.24284375
transcript.pyannote[256].end 3074.01471875
transcript.pyannote[257].speaker SPEAKER_12
transcript.pyannote[257].start 3074.62221875
transcript.pyannote[257].end 3076.59659375
transcript.pyannote[258].speaker SPEAKER_12
transcript.pyannote[258].start 3078.33471875
transcript.pyannote[258].end 3084.08909375
transcript.pyannote[259].speaker SPEAKER_12
transcript.pyannote[259].start 3084.66284375
transcript.pyannote[259].end 3088.40909375
transcript.pyannote[260].speaker SPEAKER_12
transcript.pyannote[260].start 3088.76346875
transcript.pyannote[260].end 3093.48846875
transcript.pyannote[261].speaker SPEAKER_12
transcript.pyannote[261].start 3094.29846875
transcript.pyannote[261].end 3097.13346875
transcript.pyannote[262].speaker SPEAKER_12
transcript.pyannote[262].start 3097.55534375
transcript.pyannote[262].end 3100.32284375
transcript.pyannote[263].speaker SPEAKER_12
transcript.pyannote[263].start 3100.87971875
transcript.pyannote[263].end 3102.04409375
transcript.pyannote[264].speaker SPEAKER_16
transcript.pyannote[264].start 3101.55471875
transcript.pyannote[264].end 3107.95034375
transcript.pyannote[265].speaker SPEAKER_12
transcript.pyannote[265].start 3105.36846875
transcript.pyannote[265].end 3105.79034375
transcript.pyannote[266].speaker SPEAKER_16
transcript.pyannote[266].start 3108.40596875
transcript.pyannote[266].end 3109.01346875
transcript.pyannote[267].speaker SPEAKER_16
transcript.pyannote[267].start 3109.50284375
transcript.pyannote[267].end 3113.38409375
transcript.pyannote[268].speaker SPEAKER_16
transcript.pyannote[268].start 3113.85659375
transcript.pyannote[268].end 3116.69159375
transcript.pyannote[269].speaker SPEAKER_12
transcript.pyannote[269].start 3116.42159375
transcript.pyannote[269].end 3124.89284375
transcript.pyannote[270].speaker SPEAKER_12
transcript.pyannote[270].start 3125.24721875
transcript.pyannote[270].end 3133.88721875
transcript.pyannote[271].speaker SPEAKER_12
transcript.pyannote[271].start 3134.07284375
transcript.pyannote[271].end 3136.04721875
transcript.pyannote[272].speaker SPEAKER_16
transcript.pyannote[272].start 3136.04721875
transcript.pyannote[272].end 3136.08096875
transcript.pyannote[273].speaker SPEAKER_12
transcript.pyannote[273].start 3136.08096875
transcript.pyannote[273].end 3138.15659375
transcript.pyannote[274].speaker SPEAKER_16
transcript.pyannote[274].start 3137.73471875
transcript.pyannote[274].end 3139.38846875
transcript.pyannote[275].speaker SPEAKER_12
transcript.pyannote[275].start 3139.38846875
transcript.pyannote[275].end 3141.78471875
transcript.pyannote[276].speaker SPEAKER_16
transcript.pyannote[276].start 3139.62471875
transcript.pyannote[276].end 3140.11409375
transcript.pyannote[277].speaker SPEAKER_12
transcript.pyannote[277].start 3142.29096875
transcript.pyannote[277].end 3149.86784375
transcript.pyannote[278].speaker SPEAKER_12
transcript.pyannote[278].start 3150.47534375
transcript.pyannote[278].end 3153.20909375
transcript.pyannote[279].speaker SPEAKER_12
transcript.pyannote[279].start 3153.91784375
transcript.pyannote[279].end 3157.66409375
transcript.pyannote[280].speaker SPEAKER_12
transcript.pyannote[280].start 3158.15346875
transcript.pyannote[280].end 3159.06471875
transcript.pyannote[281].speaker SPEAKER_12
transcript.pyannote[281].start 3159.26721875
transcript.pyannote[281].end 3160.43159375
transcript.pyannote[282].speaker SPEAKER_12
transcript.pyannote[282].start 3161.05596875
transcript.pyannote[282].end 3161.37659375
transcript.pyannote[283].speaker SPEAKER_12
transcript.pyannote[283].start 3161.76471875
transcript.pyannote[283].end 3162.49034375
transcript.pyannote[284].speaker SPEAKER_12
transcript.pyannote[284].start 3162.84471875
transcript.pyannote[284].end 3163.41846875
transcript.pyannote[285].speaker SPEAKER_12
transcript.pyannote[285].start 3163.97534375
transcript.pyannote[285].end 3166.74284375
transcript.pyannote[286].speaker SPEAKER_12
transcript.pyannote[286].start 3167.28284375
transcript.pyannote[286].end 3171.72096875
transcript.pyannote[287].speaker SPEAKER_12
transcript.pyannote[287].start 3172.24409375
transcript.pyannote[287].end 3174.64034375
transcript.pyannote[288].speaker SPEAKER_12
transcript.pyannote[288].start 3175.09596875
transcript.pyannote[288].end 3176.20971875
transcript.pyannote[289].speaker SPEAKER_12
transcript.pyannote[289].start 3177.07034375
transcript.pyannote[289].end 3177.55971875
transcript.pyannote[290].speaker SPEAKER_12
transcript.pyannote[290].start 3177.99846875
transcript.pyannote[290].end 3180.00659375
transcript.pyannote[291].speaker SPEAKER_12
transcript.pyannote[291].start 3180.69846875
transcript.pyannote[291].end 3181.69409375
transcript.pyannote[292].speaker SPEAKER_12
transcript.pyannote[292].start 3182.70659375
transcript.pyannote[292].end 3183.82034375
transcript.pyannote[293].speaker SPEAKER_12
transcript.pyannote[293].start 3184.37721875
transcript.pyannote[293].end 3186.65534375
transcript.pyannote[294].speaker SPEAKER_12
transcript.pyannote[294].start 3187.14471875
transcript.pyannote[294].end 3188.39346875
transcript.pyannote[295].speaker SPEAKER_12
transcript.pyannote[295].start 3189.01784375
transcript.pyannote[295].end 3191.48159375
transcript.pyannote[296].speaker SPEAKER_12
transcript.pyannote[296].start 3192.05534375
transcript.pyannote[296].end 3195.61596875
transcript.pyannote[297].speaker SPEAKER_12
transcript.pyannote[297].start 3196.07159375
transcript.pyannote[297].end 3196.59471875
transcript.pyannote[298].speaker SPEAKER_12
transcript.pyannote[298].start 3197.25284375
transcript.pyannote[298].end 3208.20471875
transcript.pyannote[299].speaker SPEAKER_16
transcript.pyannote[299].start 3208.49159375
transcript.pyannote[299].end 3212.11971875
transcript.pyannote[300].speaker SPEAKER_16
transcript.pyannote[300].start 3212.67659375
transcript.pyannote[300].end 3217.68846875
transcript.pyannote[301].speaker SPEAKER_16
transcript.pyannote[301].start 3217.99221875
transcript.pyannote[301].end 3218.29596875
transcript.pyannote[302].speaker SPEAKER_12
transcript.pyannote[302].start 3218.29596875
transcript.pyannote[302].end 3218.31284375
transcript.pyannote[303].speaker SPEAKER_16
transcript.pyannote[303].start 3219.25784375
transcript.pyannote[303].end 3225.06284375
transcript.pyannote[304].speaker SPEAKER_12
transcript.pyannote[304].start 3225.06284375
transcript.pyannote[304].end 3234.02346875
transcript.pyannote[305].speaker SPEAKER_16
transcript.pyannote[305].start 3229.41659375
transcript.pyannote[305].end 3232.09971875
transcript.pyannote[306].speaker SPEAKER_16
transcript.pyannote[306].start 3234.02346875
transcript.pyannote[306].end 3234.95159375
transcript.pyannote[307].speaker SPEAKER_12
transcript.pyannote[307].start 3234.95159375
transcript.pyannote[307].end 3237.41534375
transcript.pyannote[308].speaker SPEAKER_16
transcript.pyannote[308].start 3236.87534375
transcript.pyannote[308].end 3240.80721875
transcript.pyannote[309].speaker SPEAKER_12
transcript.pyannote[309].start 3240.16596875
transcript.pyannote[309].end 3243.22034375
transcript.pyannote[310].speaker SPEAKER_12
transcript.pyannote[310].start 3243.35534375
transcript.pyannote[310].end 3247.91159375
transcript.pyannote[311].speaker SPEAKER_12
transcript.pyannote[311].start 3248.85659375
transcript.pyannote[311].end 3253.75034375
transcript.pyannote[312].speaker SPEAKER_12
transcript.pyannote[312].start 3253.98659375
transcript.pyannote[312].end 3255.48846875
transcript.pyannote[313].speaker SPEAKER_12
transcript.pyannote[313].start 3255.67409375
transcript.pyannote[313].end 3256.95659375
transcript.pyannote[314].speaker SPEAKER_12
transcript.pyannote[314].start 3257.26034375
transcript.pyannote[314].end 3260.66909375
transcript.pyannote[315].speaker SPEAKER_12
transcript.pyannote[315].start 3260.98971875
transcript.pyannote[315].end 3264.31409375
transcript.pyannote[316].speaker SPEAKER_16
transcript.pyannote[316].start 3264.31409375
transcript.pyannote[316].end 3264.33096875
transcript.pyannote[317].speaker SPEAKER_12
transcript.pyannote[317].start 3264.33096875
transcript.pyannote[317].end 3264.38159375
transcript.pyannote[318].speaker SPEAKER_16
transcript.pyannote[318].start 3264.38159375
transcript.pyannote[318].end 3269.74784375
transcript.pyannote[319].speaker SPEAKER_12
transcript.pyannote[319].start 3269.08971875
transcript.pyannote[319].end 3276.19409375
transcript.pyannote[320].speaker SPEAKER_16
transcript.pyannote[320].start 3269.89971875
transcript.pyannote[320].end 3270.77721875
transcript.pyannote[321].speaker SPEAKER_16
transcript.pyannote[321].start 3275.50221875
transcript.pyannote[321].end 3279.01221875
transcript.pyannote[322].speaker SPEAKER_12
transcript.pyannote[322].start 3277.32471875
transcript.pyannote[322].end 3288.85034375
transcript.pyannote[323].speaker SPEAKER_12
transcript.pyannote[323].start 3289.37346875
transcript.pyannote[323].end 3292.20846875
transcript.pyannote[324].speaker SPEAKER_25
transcript.pyannote[324].start 3291.43221875
transcript.pyannote[324].end 3292.61346875
transcript.pyannote[325].speaker SPEAKER_12
transcript.pyannote[325].start 3292.61346875
transcript.pyannote[325].end 3293.94659375
transcript.pyannote[326].speaker SPEAKER_25
transcript.pyannote[326].start 3292.66409375
transcript.pyannote[326].end 3292.81596875
transcript.pyannote[327].speaker SPEAKER_25
transcript.pyannote[327].start 3292.83284375
transcript.pyannote[327].end 3292.84971875
transcript.pyannote[328].speaker SPEAKER_16
transcript.pyannote[328].start 3294.84096875
transcript.pyannote[328].end 3295.34721875
transcript.pyannote[329].speaker SPEAKER_16
transcript.pyannote[329].start 3295.97159375
transcript.pyannote[329].end 3298.26659375
transcript.pyannote[330].speaker SPEAKER_12
transcript.pyannote[330].start 3297.45659375
transcript.pyannote[330].end 3299.70096875
transcript.pyannote[331].speaker SPEAKER_16
transcript.pyannote[331].start 3299.70096875
transcript.pyannote[331].end 3300.34221875
transcript.pyannote[332].speaker SPEAKER_16
transcript.pyannote[332].start 3300.57846875
transcript.pyannote[332].end 3304.03784375
transcript.pyannote[333].speaker SPEAKER_12
transcript.pyannote[333].start 3301.64159375
transcript.pyannote[333].end 3303.73409375
transcript.pyannote[334].speaker SPEAKER_12
transcript.pyannote[334].start 3304.03784375
transcript.pyannote[334].end 3304.05471875
transcript.pyannote[335].speaker SPEAKER_16
transcript.pyannote[335].start 3304.05471875
transcript.pyannote[335].end 3305.03346875
transcript.pyannote[336].speaker SPEAKER_12
transcript.pyannote[336].start 3305.03346875
transcript.pyannote[336].end 3308.67846875
transcript.pyannote[337].speaker SPEAKER_16
transcript.pyannote[337].start 3305.69159375
transcript.pyannote[337].end 3305.97846875
transcript.pyannote[338].speaker SPEAKER_16
transcript.pyannote[338].start 3307.96971875
transcript.pyannote[338].end 3308.61096875
transcript.pyannote[339].speaker SPEAKER_12
transcript.pyannote[339].start 3308.91471875
transcript.pyannote[339].end 3311.27721875
transcript.pyannote[340].speaker SPEAKER_12
transcript.pyannote[340].start 3311.47971875
transcript.pyannote[340].end 3312.93096875
transcript.pyannote[341].speaker SPEAKER_12
transcript.pyannote[341].start 3314.38221875
transcript.pyannote[341].end 3315.27659375
transcript.pyannote[342].speaker SPEAKER_16
transcript.pyannote[342].start 3315.27659375
transcript.pyannote[342].end 3315.37784375
transcript.pyannote[343].speaker SPEAKER_12
transcript.pyannote[343].start 3315.37784375
transcript.pyannote[343].end 3315.66471875
transcript.pyannote[344].speaker SPEAKER_16
transcript.pyannote[344].start 3315.66471875
transcript.pyannote[344].end 3317.94284375
transcript.pyannote[345].speaker SPEAKER_16
transcript.pyannote[345].start 3318.21284375
transcript.pyannote[345].end 3324.33846875
transcript.pyannote[346].speaker SPEAKER_12
transcript.pyannote[346].start 3323.19096875
transcript.pyannote[346].end 3331.91534375
transcript.pyannote[347].speaker SPEAKER_16
transcript.pyannote[347].start 3329.18159375
transcript.pyannote[347].end 3330.29534375
transcript.pyannote[348].speaker SPEAKER_16
transcript.pyannote[348].start 3332.06721875
transcript.pyannote[348].end 3336.26909375
transcript.pyannote[349].speaker SPEAKER_12
transcript.pyannote[349].start 3333.16409375
transcript.pyannote[349].end 3333.28221875
transcript.pyannote[350].speaker SPEAKER_12
transcript.pyannote[350].start 3336.25221875
transcript.pyannote[350].end 3337.24784375
transcript.pyannote[351].speaker SPEAKER_12
transcript.pyannote[351].start 3337.99034375
transcript.pyannote[351].end 3350.00534375
transcript.pyannote[352].speaker SPEAKER_16
transcript.pyannote[352].start 3349.65096875
transcript.pyannote[352].end 3356.36721875
transcript.pyannote[353].speaker SPEAKER_12
transcript.pyannote[353].start 3354.30846875
transcript.pyannote[353].end 3380.88659375
transcript.pyannote[354].speaker SPEAKER_16
transcript.pyannote[354].start 3380.88659375
transcript.pyannote[354].end 3386.33721875
transcript.pyannote[355].speaker SPEAKER_12
transcript.pyannote[355].start 3384.98721875
transcript.pyannote[355].end 3391.19721875
transcript.pyannote[356].speaker SPEAKER_12
transcript.pyannote[356].start 3391.45034375
transcript.pyannote[356].end 3391.97346875
transcript.pyannote[357].speaker SPEAKER_12
transcript.pyannote[357].start 3392.63159375
transcript.pyannote[357].end 3395.11221875
transcript.pyannote[358].speaker SPEAKER_16
transcript.pyannote[358].start 3395.26409375
transcript.pyannote[358].end 3398.45346875
transcript.pyannote[359].speaker SPEAKER_12
transcript.pyannote[359].start 3396.37784375
transcript.pyannote[359].end 3402.40221875
transcript.pyannote[360].speaker SPEAKER_16
transcript.pyannote[360].start 3401.92971875
transcript.pyannote[360].end 3402.31784375
transcript.pyannote[361].speaker SPEAKER_16
transcript.pyannote[361].start 3402.40221875
transcript.pyannote[361].end 3403.00971875
transcript.pyannote[362].speaker SPEAKER_16
transcript.pyannote[362].start 3403.24596875
transcript.pyannote[362].end 3403.97159375
transcript.pyannote[363].speaker SPEAKER_12
transcript.pyannote[363].start 3403.97159375
transcript.pyannote[363].end 3404.00534375
transcript.pyannote[364].speaker SPEAKER_16
transcript.pyannote[364].start 3404.00534375
transcript.pyannote[364].end 3404.08971875
transcript.pyannote[365].speaker SPEAKER_12
transcript.pyannote[365].start 3404.08971875
transcript.pyannote[365].end 3404.12346875
transcript.pyannote[366].speaker SPEAKER_16
transcript.pyannote[366].start 3404.12346875
transcript.pyannote[366].end 3404.17409375
transcript.pyannote[367].speaker SPEAKER_12
transcript.pyannote[367].start 3404.17409375
transcript.pyannote[367].end 3404.19096875
transcript.pyannote[368].speaker SPEAKER_16
transcript.pyannote[368].start 3404.19096875
transcript.pyannote[368].end 3404.29221875
transcript.pyannote[369].speaker SPEAKER_12
transcript.pyannote[369].start 3404.29221875
transcript.pyannote[369].end 3404.54534375
transcript.pyannote[370].speaker SPEAKER_16
transcript.pyannote[370].start 3404.54534375
transcript.pyannote[370].end 3404.68034375
transcript.pyannote[371].speaker SPEAKER_12
transcript.pyannote[371].start 3405.37221875
transcript.pyannote[371].end 3409.00034375
transcript.pyannote[372].speaker SPEAKER_12
transcript.pyannote[372].start 3409.18596875
transcript.pyannote[372].end 3412.12221875
transcript.pyannote[373].speaker SPEAKER_12
transcript.pyannote[373].start 3412.78034375
transcript.pyannote[373].end 3413.99534375
transcript.pyannote[374].speaker SPEAKER_12
transcript.pyannote[374].start 3414.16409375
transcript.pyannote[374].end 3415.73346875
transcript.pyannote[375].speaker SPEAKER_12
transcript.pyannote[375].start 3416.17221875
transcript.pyannote[375].end 3419.64846875
transcript.pyannote[376].speaker SPEAKER_12
transcript.pyannote[376].start 3420.35721875
transcript.pyannote[376].end 3424.22159375
transcript.pyannote[377].speaker SPEAKER_12
transcript.pyannote[377].start 3424.59284375
transcript.pyannote[377].end 3425.33534375
transcript.pyannote[378].speaker SPEAKER_12
transcript.pyannote[378].start 3426.82034375
transcript.pyannote[378].end 3428.35596875
transcript.pyannote[379].speaker SPEAKER_16
transcript.pyannote[379].start 3428.96346875
transcript.pyannote[379].end 3429.30096875
transcript.pyannote[380].speaker SPEAKER_16
transcript.pyannote[380].start 3429.73971875
transcript.pyannote[380].end 3437.48534375
transcript.pyannote[381].speaker SPEAKER_16
transcript.pyannote[381].start 3437.94096875
transcript.pyannote[381].end 3440.25284375
transcript.pyannote[382].speaker SPEAKER_16
transcript.pyannote[382].start 3440.30346875
transcript.pyannote[382].end 3443.12159375
transcript.pyannote[383].speaker SPEAKER_12
transcript.pyannote[383].start 3440.33721875
transcript.pyannote[383].end 3453.19596875
transcript.pyannote[384].speaker SPEAKER_16
transcript.pyannote[384].start 3454.00596875
transcript.pyannote[384].end 3462.71346875
transcript.pyannote[385].speaker SPEAKER_16
transcript.pyannote[385].start 3463.13534375
transcript.pyannote[385].end 3469.54784375
transcript.pyannote[386].speaker SPEAKER_16
transcript.pyannote[386].start 3469.58159375
transcript.pyannote[386].end 3475.26846875
transcript.pyannote[387].speaker SPEAKER_12
transcript.pyannote[387].start 3473.80034375
transcript.pyannote[387].end 3474.62721875
transcript.pyannote[388].speaker SPEAKER_12
transcript.pyannote[388].start 3475.26846875
transcript.pyannote[388].end 3483.97596875
transcript.pyannote[389].speaker SPEAKER_16
transcript.pyannote[389].start 3475.28534375
transcript.pyannote[389].end 3475.35284375
transcript.pyannote[390].speaker SPEAKER_16
transcript.pyannote[390].start 3476.55096875
transcript.pyannote[390].end 3477.36096875
transcript.pyannote[391].speaker SPEAKER_16
transcript.pyannote[391].start 3477.46221875
transcript.pyannote[391].end 3477.54659375
transcript.pyannote[392].speaker SPEAKER_16
transcript.pyannote[392].start 3482.77784375
transcript.pyannote[392].end 3483.38534375
transcript.pyannote[393].speaker SPEAKER_12
transcript.pyannote[393].start 3485.02221875
transcript.pyannote[393].end 3487.62096875
transcript.pyannote[394].speaker SPEAKER_16
transcript.pyannote[394].start 3487.95846875
transcript.pyannote[394].end 3491.87346875
transcript.pyannote[395].speaker SPEAKER_12
transcript.pyannote[395].start 3490.48971875
transcript.pyannote[395].end 3502.82534375
transcript.pyannote[396].speaker SPEAKER_16
transcript.pyannote[396].start 3502.82534375
transcript.pyannote[396].end 3506.68971875
transcript.pyannote[397].speaker SPEAKER_12
transcript.pyannote[397].start 3505.64346875
transcript.pyannote[397].end 3513.96284375
transcript.pyannote[398].speaker SPEAKER_16
transcript.pyannote[398].start 3509.49096875
transcript.pyannote[398].end 3510.23346875
transcript.pyannote[399].speaker SPEAKER_16
transcript.pyannote[399].start 3510.45284375
transcript.pyannote[399].end 3510.95909375
transcript.pyannote[400].speaker SPEAKER_12
transcript.pyannote[400].start 3514.67159375
transcript.pyannote[400].end 3515.49846875
transcript.pyannote[401].speaker SPEAKER_12
transcript.pyannote[401].start 3516.22409375
transcript.pyannote[401].end 3521.70846875
transcript.pyannote[402].speaker SPEAKER_18
transcript.pyannote[402].start 3518.26596875
transcript.pyannote[402].end 3519.05909375
transcript.pyannote[403].speaker SPEAKER_00
transcript.pyannote[403].start 3519.05909375
transcript.pyannote[403].end 3519.07596875
transcript.pyannote[404].speaker SPEAKER_12
transcript.pyannote[404].start 3521.77596875
transcript.pyannote[404].end 3524.86409375
transcript.pyannote[405].speaker SPEAKER_12
transcript.pyannote[405].start 3525.55596875
transcript.pyannote[405].end 3527.29409375
transcript.pyannote[406].speaker SPEAKER_12
transcript.pyannote[406].start 3527.51346875
transcript.pyannote[406].end 3527.88471875
transcript.pyannote[407].speaker SPEAKER_12
transcript.pyannote[407].start 3528.62721875
transcript.pyannote[407].end 3532.66034375
transcript.pyannote[408].speaker SPEAKER_12
transcript.pyannote[408].start 3533.03159375
transcript.pyannote[408].end 3535.36034375
transcript.pyannote[409].speaker SPEAKER_15
transcript.pyannote[409].start 3534.43221875
transcript.pyannote[409].end 3534.44909375
transcript.pyannote[410].speaker SPEAKER_03
transcript.pyannote[410].start 3534.44909375
transcript.pyannote[410].end 3535.37721875
transcript.pyannote[411].speaker SPEAKER_15
transcript.pyannote[411].start 3535.36034375
transcript.pyannote[411].end 3535.74846875
transcript.pyannote[412].speaker SPEAKER_12
transcript.pyannote[412].start 3535.74846875
transcript.pyannote[412].end 3535.90034375
transcript.pyannote[413].speaker SPEAKER_15
transcript.pyannote[413].start 3535.90034375
transcript.pyannote[413].end 3535.96784375
transcript.pyannote[414].speaker SPEAKER_12
transcript.pyannote[414].start 3535.96784375
transcript.pyannote[414].end 3535.98471875
transcript.pyannote[415].speaker SPEAKER_15
transcript.pyannote[415].start 3535.98471875
transcript.pyannote[415].end 3536.28846875
transcript.pyannote[416].speaker SPEAKER_03
transcript.pyannote[416].start 3537.45284375
transcript.pyannote[416].end 3542.65034375
transcript.pyannote[417].speaker SPEAKER_15
transcript.pyannote[417].start 3544.99596875
transcript.pyannote[417].end 3545.82284375
transcript.pyannote[418].speaker SPEAKER_03
transcript.pyannote[418].start 3547.66221875
transcript.pyannote[418].end 3547.67909375
transcript.pyannote[419].speaker SPEAKER_08
transcript.pyannote[419].start 3547.67909375
transcript.pyannote[419].end 3547.69596875
transcript.pyannote[420].speaker SPEAKER_03
transcript.pyannote[420].start 3547.69596875
transcript.pyannote[420].end 3547.81409375
transcript.pyannote[421].speaker SPEAKER_08
transcript.pyannote[421].start 3547.81409375
transcript.pyannote[421].end 3547.88159375
transcript.pyannote[422].speaker SPEAKER_03
transcript.pyannote[422].start 3547.88159375
transcript.pyannote[422].end 3547.91534375
transcript.pyannote[423].speaker SPEAKER_08
transcript.pyannote[423].start 3551.76284375
transcript.pyannote[423].end 3554.63159375
transcript.pyannote[424].speaker SPEAKER_03
transcript.pyannote[424].start 3555.62721875
transcript.pyannote[424].end 3557.92221875
transcript.pyannote[425].speaker SPEAKER_03
transcript.pyannote[425].start 3558.22596875
transcript.pyannote[425].end 3558.24284375
transcript.pyannote[426].speaker SPEAKER_18
transcript.pyannote[426].start 3558.24284375
transcript.pyannote[426].end 3558.36096875
transcript.pyannote[427].speaker SPEAKER_03
transcript.pyannote[427].start 3558.36096875
transcript.pyannote[427].end 3558.46221875
transcript.pyannote[428].speaker SPEAKER_18
transcript.pyannote[428].start 3558.46221875
transcript.pyannote[428].end 3558.47909375
transcript.pyannote[429].speaker SPEAKER_08
transcript.pyannote[429].start 3564.46971875
transcript.pyannote[429].end 3565.14471875
transcript.pyannote[430].speaker SPEAKER_08
transcript.pyannote[430].start 3566.25846875
transcript.pyannote[430].end 3573.71721875
transcript.pyannote[431].speaker SPEAKER_08
transcript.pyannote[431].start 3574.13909375
transcript.pyannote[431].end 3574.93221875
transcript.pyannote[432].speaker SPEAKER_08
transcript.pyannote[432].start 3575.25284375
transcript.pyannote[432].end 3579.15096875
transcript.pyannote[433].speaker SPEAKER_08
transcript.pyannote[433].start 3579.20159375
transcript.pyannote[433].end 3579.23534375
transcript.pyannote[434].speaker SPEAKER_18
transcript.pyannote[434].start 3579.23534375
transcript.pyannote[434].end 3579.65721875
transcript.pyannote[435].speaker SPEAKER_08
transcript.pyannote[435].start 3579.53909375
transcript.pyannote[435].end 3582.91409375
transcript.pyannote[436].speaker SPEAKER_08
transcript.pyannote[436].start 3583.82534375
transcript.pyannote[436].end 3586.28909375
transcript.pyannote[437].speaker SPEAKER_08
transcript.pyannote[437].start 3587.36909375
transcript.pyannote[437].end 3589.98471875
transcript.pyannote[438].speaker SPEAKER_08
transcript.pyannote[438].start 3590.18721875
transcript.pyannote[438].end 3591.85784375
transcript.pyannote[439].speaker SPEAKER_08
transcript.pyannote[439].start 3592.95471875
transcript.pyannote[439].end 3595.24971875
transcript.pyannote[440].speaker SPEAKER_08
transcript.pyannote[440].start 3597.29159375
transcript.pyannote[440].end 3597.30846875
transcript.pyannote[441].speaker SPEAKER_25
transcript.pyannote[441].start 3597.30846875
transcript.pyannote[441].end 3600.63284375
transcript.pyannote[442].speaker SPEAKER_08
transcript.pyannote[442].start 3600.63284375
transcript.pyannote[442].end 3600.70034375
transcript.pyannote[443].speaker SPEAKER_08
transcript.pyannote[443].start 3601.35846875
transcript.pyannote[443].end 3602.82659375
transcript.pyannote[444].speaker SPEAKER_08
transcript.pyannote[444].start 3603.38346875
transcript.pyannote[444].end 3611.29784375
transcript.pyannote[445].speaker SPEAKER_08
transcript.pyannote[445].start 3611.87159375
transcript.pyannote[445].end 3612.49596875
transcript.pyannote[446].speaker SPEAKER_08
transcript.pyannote[446].start 3613.12034375
transcript.pyannote[446].end 3614.38596875
transcript.pyannote[447].speaker SPEAKER_08
transcript.pyannote[447].start 3615.17909375
transcript.pyannote[447].end 3616.66409375
transcript.pyannote[448].speaker SPEAKER_08
transcript.pyannote[448].start 3618.18284375
transcript.pyannote[448].end 3619.48221875
transcript.pyannote[449].speaker SPEAKER_08
transcript.pyannote[449].start 3619.60034375
transcript.pyannote[449].end 3622.77284375
transcript.pyannote[450].speaker SPEAKER_08
transcript.pyannote[450].start 3623.86971875
transcript.pyannote[450].end 3626.24909375
transcript.pyannote[451].speaker SPEAKER_08
transcript.pyannote[451].start 3626.53596875
transcript.pyannote[451].end 3629.96159375
transcript.pyannote[452].speaker SPEAKER_08
transcript.pyannote[452].start 3630.90659375
transcript.pyannote[452].end 3635.93534375
transcript.pyannote[453].speaker SPEAKER_08
transcript.pyannote[453].start 3636.57659375
transcript.pyannote[453].end 3640.60971875
transcript.pyannote[454].speaker SPEAKER_25
transcript.pyannote[454].start 3640.60971875
transcript.pyannote[454].end 3640.62659375
transcript.pyannote[455].speaker SPEAKER_08
transcript.pyannote[455].start 3641.48721875
transcript.pyannote[455].end 3641.50409375
transcript.pyannote[456].speaker SPEAKER_25
transcript.pyannote[456].start 3641.50409375
transcript.pyannote[456].end 3648.15284375
transcript.pyannote[457].speaker SPEAKER_25
transcript.pyannote[457].start 3649.18221875
transcript.pyannote[457].end 3649.36784375
transcript.pyannote[458].speaker SPEAKER_08
transcript.pyannote[458].start 3649.36784375
transcript.pyannote[458].end 3651.37596875
transcript.pyannote[459].speaker SPEAKER_08
transcript.pyannote[459].start 3652.60784375
transcript.pyannote[459].end 3654.53159375
transcript.pyannote[460].speaker SPEAKER_08
transcript.pyannote[460].start 3655.27409375
transcript.pyannote[460].end 3657.43409375
transcript.pyannote[461].speaker SPEAKER_08
transcript.pyannote[461].start 3658.12596875
transcript.pyannote[461].end 3660.38721875
transcript.pyannote[462].speaker SPEAKER_08
transcript.pyannote[462].start 3662.02409375
transcript.pyannote[462].end 3663.93096875
transcript.pyannote[463].speaker SPEAKER_08
transcript.pyannote[463].start 3664.87596875
transcript.pyannote[463].end 3666.04034375
transcript.pyannote[464].speaker SPEAKER_08
transcript.pyannote[464].start 3666.63096875
transcript.pyannote[464].end 3667.69409375
transcript.pyannote[465].speaker SPEAKER_08
transcript.pyannote[465].start 3669.06096875
transcript.pyannote[465].end 3673.65096875
transcript.pyannote[466].speaker SPEAKER_08
transcript.pyannote[466].start 3674.61284375
transcript.pyannote[466].end 3677.51534375
transcript.pyannote[467].speaker SPEAKER_08
transcript.pyannote[467].start 3678.22409375
transcript.pyannote[467].end 3685.88534375
transcript.pyannote[468].speaker SPEAKER_25
transcript.pyannote[468].start 3686.22284375
transcript.pyannote[468].end 3686.23971875
transcript.pyannote[469].speaker SPEAKER_08
transcript.pyannote[469].start 3686.23971875
transcript.pyannote[469].end 3686.67846875
transcript.pyannote[470].speaker SPEAKER_25
transcript.pyannote[470].start 3686.67846875
transcript.pyannote[470].end 3686.71221875
transcript.pyannote[471].speaker SPEAKER_25
transcript.pyannote[471].start 3687.57284375
transcript.pyannote[471].end 3694.30596875
transcript.pyannote[472].speaker SPEAKER_08
transcript.pyannote[472].start 3694.30596875
transcript.pyannote[472].end 3694.39034375
transcript.pyannote[473].speaker SPEAKER_25
transcript.pyannote[473].start 3694.86284375
transcript.pyannote[473].end 3694.96409375
transcript.pyannote[474].speaker SPEAKER_08
transcript.pyannote[474].start 3694.96409375
transcript.pyannote[474].end 3700.27971875
transcript.pyannote[475].speaker SPEAKER_08
transcript.pyannote[475].start 3701.27534375
transcript.pyannote[475].end 3702.60846875
transcript.pyannote[476].speaker SPEAKER_08
transcript.pyannote[476].start 3704.14409375
transcript.pyannote[476].end 3708.91971875
transcript.pyannote[477].speaker SPEAKER_08
transcript.pyannote[477].start 3709.86471875
transcript.pyannote[477].end 3712.66596875
transcript.pyannote[478].speaker SPEAKER_08
transcript.pyannote[478].start 3713.47596875
transcript.pyannote[478].end 3715.06221875
transcript.pyannote[479].speaker SPEAKER_08
transcript.pyannote[479].start 3716.14221875
transcript.pyannote[479].end 3716.85096875
transcript.pyannote[480].speaker SPEAKER_08
transcript.pyannote[480].start 3717.20534375
transcript.pyannote[480].end 3720.22596875
transcript.pyannote[481].speaker SPEAKER_08
transcript.pyannote[481].start 3720.93471875
transcript.pyannote[481].end 3722.80784375
transcript.pyannote[482].speaker SPEAKER_08
transcript.pyannote[482].start 3723.58409375
transcript.pyannote[482].end 3725.25471875
transcript.pyannote[483].speaker SPEAKER_08
transcript.pyannote[483].start 3726.53721875
transcript.pyannote[483].end 3729.23721875
transcript.pyannote[484].speaker SPEAKER_08
transcript.pyannote[484].start 3730.23284375
transcript.pyannote[484].end 3731.93721875
transcript.pyannote[485].speaker SPEAKER_08
transcript.pyannote[485].start 3733.30409375
transcript.pyannote[485].end 3734.51909375
transcript.pyannote[486].speaker SPEAKER_08
transcript.pyannote[486].start 3735.05909375
transcript.pyannote[486].end 3737.35409375
transcript.pyannote[487].speaker SPEAKER_08
transcript.pyannote[487].start 3737.57346875
transcript.pyannote[487].end 3739.58159375
transcript.pyannote[488].speaker SPEAKER_08
transcript.pyannote[488].start 3739.96971875
transcript.pyannote[488].end 3741.64034375
transcript.pyannote[489].speaker SPEAKER_08
transcript.pyannote[489].start 3743.12534375
transcript.pyannote[489].end 3745.18409375
transcript.pyannote[490].speaker SPEAKER_08
transcript.pyannote[490].start 3745.70721875
transcript.pyannote[490].end 3746.60159375
transcript.pyannote[491].speaker SPEAKER_08
transcript.pyannote[491].start 3747.37784375
transcript.pyannote[491].end 3748.39034375
transcript.pyannote[492].speaker SPEAKER_08
transcript.pyannote[492].start 3748.81221875
transcript.pyannote[492].end 3749.84159375
transcript.pyannote[493].speaker SPEAKER_08
transcript.pyannote[493].start 3751.96784375
transcript.pyannote[493].end 3752.71034375
transcript.pyannote[494].speaker SPEAKER_08
transcript.pyannote[494].start 3753.92534375
transcript.pyannote[494].end 3755.29221875
transcript.pyannote[495].speaker SPEAKER_08
transcript.pyannote[495].start 3756.08534375
transcript.pyannote[495].end 3757.28346875
transcript.pyannote[496].speaker SPEAKER_08
transcript.pyannote[496].start 3757.70534375
transcript.pyannote[496].end 3760.01721875
transcript.pyannote[497].speaker SPEAKER_08
transcript.pyannote[497].start 3760.65846875
transcript.pyannote[497].end 3761.70471875
transcript.pyannote[498].speaker SPEAKER_08
transcript.pyannote[498].start 3763.15596875
transcript.pyannote[498].end 3767.29034375
transcript.pyannote[499].speaker SPEAKER_08
transcript.pyannote[499].start 3767.86409375
transcript.pyannote[499].end 3770.64846875
transcript.pyannote[500].speaker SPEAKER_08
transcript.pyannote[500].start 3771.18846875
transcript.pyannote[500].end 3775.32284375
transcript.pyannote[501].speaker SPEAKER_08
transcript.pyannote[501].start 3776.38596875
transcript.pyannote[501].end 3778.73159375
transcript.pyannote[502].speaker SPEAKER_08
transcript.pyannote[502].start 3779.57534375
transcript.pyannote[502].end 3782.19096875
transcript.pyannote[503].speaker SPEAKER_08
transcript.pyannote[503].start 3782.66346875
transcript.pyannote[503].end 3786.61221875
transcript.pyannote[504].speaker SPEAKER_08
transcript.pyannote[504].start 3787.43909375
transcript.pyannote[504].end 3787.45596875
transcript.pyannote[505].speaker SPEAKER_25
transcript.pyannote[505].start 3787.45596875
transcript.pyannote[505].end 3788.18159375
transcript.pyannote[506].speaker SPEAKER_25
transcript.pyannote[506].start 3788.77221875
transcript.pyannote[506].end 3798.72846875
transcript.pyannote[507].speaker SPEAKER_25
transcript.pyannote[507].start 3799.35284375
transcript.pyannote[507].end 3800.75346875
transcript.pyannote[508].speaker SPEAKER_25
transcript.pyannote[508].start 3801.36096875
transcript.pyannote[508].end 3806.11971875
transcript.pyannote[509].speaker SPEAKER_08
transcript.pyannote[509].start 3806.11971875
transcript.pyannote[509].end 3806.17034375
transcript.pyannote[510].speaker SPEAKER_25
transcript.pyannote[510].start 3806.79471875
transcript.pyannote[510].end 3809.10659375
transcript.pyannote[511].speaker SPEAKER_08
transcript.pyannote[511].start 3807.87471875
transcript.pyannote[511].end 3813.03846875
transcript.pyannote[512].speaker SPEAKER_25
transcript.pyannote[512].start 3810.47346875
transcript.pyannote[512].end 3810.81096875
transcript.pyannote[513].speaker SPEAKER_25
transcript.pyannote[513].start 3813.03846875
transcript.pyannote[513].end 3813.49409375
transcript.pyannote[514].speaker SPEAKER_08
transcript.pyannote[514].start 3813.49409375
transcript.pyannote[514].end 3814.03409375
transcript.pyannote[515].speaker SPEAKER_25
transcript.pyannote[515].start 3814.03409375
transcript.pyannote[515].end 3823.36596875
transcript.pyannote[516].speaker SPEAKER_08
transcript.pyannote[516].start 3821.66159375
transcript.pyannote[516].end 3823.28159375
transcript.pyannote[517].speaker SPEAKER_25
transcript.pyannote[517].start 3823.60221875
transcript.pyannote[517].end 3825.86346875
transcript.pyannote[518].speaker SPEAKER_08
transcript.pyannote[518].start 3824.68221875
transcript.pyannote[518].end 3825.81284375
transcript.pyannote[519].speaker SPEAKER_08
transcript.pyannote[519].start 3825.86346875
transcript.pyannote[519].end 3825.88034375
transcript.pyannote[520].speaker SPEAKER_08
transcript.pyannote[520].start 3826.97721875
transcript.pyannote[520].end 3830.35221875
transcript.pyannote[521].speaker SPEAKER_08
transcript.pyannote[521].start 3831.24659375
transcript.pyannote[521].end 3838.18221875
transcript.pyannote[522].speaker SPEAKER_25
transcript.pyannote[522].start 3838.18221875
transcript.pyannote[522].end 3838.57034375
transcript.pyannote[523].speaker SPEAKER_25
transcript.pyannote[523].start 3839.27909375
transcript.pyannote[523].end 3845.21909375
transcript.pyannote[524].speaker SPEAKER_08
transcript.pyannote[524].start 3843.00846875
transcript.pyannote[524].end 3844.17284375
transcript.pyannote[525].speaker SPEAKER_08
transcript.pyannote[525].start 3846.19784375
transcript.pyannote[525].end 3848.25659375
transcript.pyannote[526].speaker SPEAKER_08
transcript.pyannote[526].start 3850.09596875
transcript.pyannote[526].end 3855.22596875
transcript.pyannote[527].speaker SPEAKER_08
transcript.pyannote[527].start 3856.12034375
transcript.pyannote[527].end 3860.35596875
transcript.pyannote[528].speaker SPEAKER_08
transcript.pyannote[528].start 3861.38534375
transcript.pyannote[528].end 3864.91221875
transcript.pyannote[529].speaker SPEAKER_08
transcript.pyannote[529].start 3865.73909375
transcript.pyannote[529].end 3867.08909375
transcript.pyannote[530].speaker SPEAKER_08
transcript.pyannote[530].start 3867.81471875
transcript.pyannote[530].end 3870.17721875
transcript.pyannote[531].speaker SPEAKER_08
transcript.pyannote[531].start 3871.02096875
transcript.pyannote[531].end 3873.13034375
transcript.pyannote[532].speaker SPEAKER_08
transcript.pyannote[532].start 3874.61534375
transcript.pyannote[532].end 3875.74596875
transcript.pyannote[533].speaker SPEAKER_08
transcript.pyannote[533].start 3876.89346875
transcript.pyannote[533].end 3884.87534375
transcript.pyannote[534].speaker SPEAKER_08
transcript.pyannote[534].start 3885.44909375
transcript.pyannote[534].end 3886.81596875
transcript.pyannote[535].speaker SPEAKER_08
transcript.pyannote[535].start 3887.57534375
transcript.pyannote[535].end 3895.16909375
transcript.pyannote[536].speaker SPEAKER_08
transcript.pyannote[536].start 3895.81034375
transcript.pyannote[536].end 3897.48096875
transcript.pyannote[537].speaker SPEAKER_08
transcript.pyannote[537].start 3899.35409375
transcript.pyannote[537].end 3902.77971875
transcript.pyannote[538].speaker SPEAKER_08
transcript.pyannote[538].start 3903.28596875
transcript.pyannote[538].end 3906.96471875
transcript.pyannote[539].speaker SPEAKER_08
transcript.pyannote[539].start 3907.50471875
transcript.pyannote[539].end 3909.07409375
transcript.pyannote[540].speaker SPEAKER_08
transcript.pyannote[540].start 3910.69409375
transcript.pyannote[540].end 3912.71909375
transcript.pyannote[541].speaker SPEAKER_08
transcript.pyannote[541].start 3913.71471875
transcript.pyannote[541].end 3916.11096875
transcript.pyannote[542].speaker SPEAKER_08
transcript.pyannote[542].start 3916.63409375
transcript.pyannote[542].end 3917.62971875
transcript.pyannote[543].speaker SPEAKER_08
transcript.pyannote[543].start 3917.74784375
transcript.pyannote[543].end 3919.30034375
transcript.pyannote[544].speaker SPEAKER_08
transcript.pyannote[544].start 3919.72221875
transcript.pyannote[544].end 3920.76846875
transcript.pyannote[545].speaker SPEAKER_08
transcript.pyannote[545].start 3922.28721875
transcript.pyannote[545].end 3923.23221875
transcript.pyannote[546].speaker SPEAKER_08
transcript.pyannote[546].start 3923.68784375
transcript.pyannote[546].end 3927.41721875
transcript.pyannote[547].speaker SPEAKER_08
transcript.pyannote[547].start 3928.02471875
transcript.pyannote[547].end 3930.35346875
transcript.pyannote[548].speaker SPEAKER_08
transcript.pyannote[548].start 3930.99471875
transcript.pyannote[548].end 3932.90159375
transcript.pyannote[549].speaker SPEAKER_08
transcript.pyannote[549].start 3933.27284375
transcript.pyannote[549].end 3935.60159375
transcript.pyannote[550].speaker SPEAKER_08
transcript.pyannote[550].start 3936.37784375
transcript.pyannote[550].end 3937.60971875
transcript.pyannote[551].speaker SPEAKER_08
transcript.pyannote[551].start 3939.21284375
transcript.pyannote[551].end 3942.52034375
transcript.pyannote[552].speaker SPEAKER_08
transcript.pyannote[552].start 3942.97596875
transcript.pyannote[552].end 3944.37659375
transcript.pyannote[553].speaker SPEAKER_08
transcript.pyannote[553].start 3945.33846875
transcript.pyannote[553].end 3948.15659375
transcript.pyannote[554].speaker SPEAKER_08
transcript.pyannote[554].start 3948.47721875
transcript.pyannote[554].end 3950.02971875
transcript.pyannote[555].speaker SPEAKER_08
transcript.pyannote[555].start 3950.78909375
transcript.pyannote[555].end 3954.06284375
transcript.pyannote[556].speaker SPEAKER_08
transcript.pyannote[556].start 3956.00346875
transcript.pyannote[556].end 3964.17096875
transcript.pyannote[557].speaker SPEAKER_08
transcript.pyannote[557].start 3964.47471875
transcript.pyannote[557].end 3973.41846875
transcript.pyannote[558].speaker SPEAKER_08
transcript.pyannote[558].start 3974.22846875
transcript.pyannote[558].end 3975.51096875
transcript.pyannote[559].speaker SPEAKER_08
transcript.pyannote[559].start 3976.00034375
transcript.pyannote[559].end 3976.84409375
transcript.pyannote[560].speaker SPEAKER_08
transcript.pyannote[560].start 3977.24909375
transcript.pyannote[560].end 3978.70034375
transcript.pyannote[561].speaker SPEAKER_08
transcript.pyannote[561].start 3980.52284375
transcript.pyannote[561].end 3983.52659375
transcript.pyannote[562].speaker SPEAKER_08
transcript.pyannote[562].start 3986.14221875
transcript.pyannote[562].end 3987.17159375
transcript.pyannote[563].speaker SPEAKER_08
transcript.pyannote[563].start 3988.60596875
transcript.pyannote[563].end 3989.63534375
transcript.pyannote[564].speaker SPEAKER_08
transcript.pyannote[564].start 3989.90534375
transcript.pyannote[564].end 3990.78284375
transcript.pyannote[565].speaker SPEAKER_08
transcript.pyannote[565].start 3991.35659375
transcript.pyannote[565].end 3992.74034375
transcript.pyannote[566].speaker SPEAKER_08
transcript.pyannote[566].start 3993.88784375
transcript.pyannote[566].end 3995.20409375
transcript.pyannote[567].speaker SPEAKER_08
transcript.pyannote[567].start 3996.73971875
transcript.pyannote[567].end 3997.83659375
transcript.pyannote[568].speaker SPEAKER_08
transcript.pyannote[568].start 3999.32159375
transcript.pyannote[568].end 4000.65471875
transcript.pyannote[569].speaker SPEAKER_08
transcript.pyannote[569].start 4001.29596875
transcript.pyannote[569].end 4002.20721875
transcript.pyannote[570].speaker SPEAKER_08
transcript.pyannote[570].start 4003.01721875
transcript.pyannote[570].end 4005.31221875
transcript.pyannote[571].speaker SPEAKER_16
transcript.pyannote[571].start 4005.73409375
transcript.pyannote[571].end 4007.55659375
transcript.pyannote[572].speaker SPEAKER_08
transcript.pyannote[572].start 4007.10096875
transcript.pyannote[572].end 4014.93096875
transcript.pyannote[573].speaker SPEAKER_08
transcript.pyannote[573].start 4015.96034375
transcript.pyannote[573].end 4017.59721875
transcript.pyannote[574].speaker SPEAKER_08
transcript.pyannote[574].start 4019.14971875
transcript.pyannote[574].end 4020.36471875
transcript.pyannote[575].speaker SPEAKER_08
transcript.pyannote[575].start 4020.80346875
transcript.pyannote[575].end 4028.22846875
transcript.pyannote[576].speaker SPEAKER_08
transcript.pyannote[576].start 4028.95409375
transcript.pyannote[576].end 4030.23659375
transcript.pyannote[577].speaker SPEAKER_08
transcript.pyannote[577].start 4031.68784375
transcript.pyannote[577].end 4032.51471875
transcript.pyannote[578].speaker SPEAKER_08
transcript.pyannote[578].start 4034.70846875
transcript.pyannote[578].end 4036.98659375
transcript.pyannote[579].speaker SPEAKER_08
transcript.pyannote[579].start 4037.45909375
transcript.pyannote[579].end 4040.37846875
transcript.pyannote[580].speaker SPEAKER_16
transcript.pyannote[580].start 4039.45034375
transcript.pyannote[580].end 4039.56846875
transcript.pyannote[581].speaker SPEAKER_16
transcript.pyannote[581].start 4039.61909375
transcript.pyannote[581].end 4040.04096875
transcript.pyannote[582].speaker SPEAKER_16
transcript.pyannote[582].start 4042.16721875
transcript.pyannote[582].end 4047.11159375
transcript.pyannote[583].speaker SPEAKER_16
transcript.pyannote[583].start 4047.49971875
transcript.pyannote[583].end 4050.31784375
transcript.pyannote[584].speaker SPEAKER_16
transcript.pyannote[584].start 4050.75659375
transcript.pyannote[584].end 4050.77346875
transcript.pyannote[585].speaker SPEAKER_08
transcript.pyannote[585].start 4050.77346875
transcript.pyannote[585].end 4057.69221875
transcript.pyannote[586].speaker SPEAKER_18
transcript.pyannote[586].start 4058.38409375
transcript.pyannote[586].end 4058.92409375
transcript.pyannote[587].speaker SPEAKER_08
transcript.pyannote[587].start 4058.82284375
transcript.pyannote[587].end 4059.29534375
transcript.pyannote[588].speaker SPEAKER_08
transcript.pyannote[588].start 4059.80159375
transcript.pyannote[588].end 4068.91409375
transcript.pyannote[589].speaker SPEAKER_08
transcript.pyannote[589].start 4069.45409375
transcript.pyannote[589].end 4074.70221875
transcript.pyannote[590].speaker SPEAKER_16
transcript.pyannote[590].start 4075.37721875
transcript.pyannote[590].end 4081.03034375
transcript.pyannote[591].speaker SPEAKER_16
transcript.pyannote[591].start 4081.89096875
transcript.pyannote[591].end 4082.29596875
transcript.pyannote[592].speaker SPEAKER_08
transcript.pyannote[592].start 4082.00909375
transcript.pyannote[592].end 4087.71284375
transcript.pyannote[593].speaker SPEAKER_08
transcript.pyannote[593].start 4088.79284375
transcript.pyannote[593].end 4094.58096875
transcript.pyannote[594].speaker SPEAKER_08
transcript.pyannote[594].start 4094.90159375
transcript.pyannote[594].end 4100.36909375
transcript.pyannote[595].speaker SPEAKER_18
transcript.pyannote[595].start 4100.67284375
transcript.pyannote[595].end 4101.06096875
transcript.pyannote[596].speaker SPEAKER_08
transcript.pyannote[596].start 4101.12846875
transcript.pyannote[596].end 4141.59471875
transcript.pyannote[597].speaker SPEAKER_00
transcript.pyannote[597].start 4134.77721875
transcript.pyannote[597].end 4134.81096875
transcript.pyannote[598].speaker SPEAKER_15
transcript.pyannote[598].start 4134.81096875
transcript.pyannote[598].end 4135.21596875
transcript.pyannote[599].speaker SPEAKER_15
transcript.pyannote[599].start 4140.17721875
transcript.pyannote[599].end 4140.26159375
transcript.pyannote[600].speaker SPEAKER_15
transcript.pyannote[600].start 4141.67909375
transcript.pyannote[600].end 4142.52284375
transcript.pyannote[601].speaker SPEAKER_08
transcript.pyannote[601].start 4142.52284375
transcript.pyannote[601].end 4156.05659375
transcript.pyannote[602].speaker SPEAKER_08
transcript.pyannote[602].start 4156.51221875
transcript.pyannote[602].end 4158.16596875
transcript.pyannote[603].speaker SPEAKER_25
transcript.pyannote[603].start 4158.68909375
transcript.pyannote[603].end 4169.40471875
transcript.pyannote[604].speaker SPEAKER_08
transcript.pyannote[604].start 4168.78034375
transcript.pyannote[604].end 4181.90909375
transcript.pyannote[605].speaker SPEAKER_03
transcript.pyannote[605].start 4183.61346875
transcript.pyannote[605].end 4190.19471875
transcript.pyannote[606].speaker SPEAKER_07
transcript.pyannote[606].start 4201.43346875
transcript.pyannote[606].end 4201.45034375
transcript.pyannote[607].speaker SPEAKER_03
transcript.pyannote[607].start 4201.45034375
transcript.pyannote[607].end 4204.48784375
transcript.pyannote[608].speaker SPEAKER_03
transcript.pyannote[608].start 4206.00659375
transcript.pyannote[608].end 4208.03159375
transcript.pyannote[609].speaker SPEAKER_03
transcript.pyannote[609].start 4211.37284375
transcript.pyannote[609].end 4211.38971875
transcript.pyannote[610].speaker SPEAKER_07
transcript.pyannote[610].start 4211.38971875
transcript.pyannote[610].end 4212.16596875
transcript.pyannote[611].speaker SPEAKER_07
transcript.pyannote[611].start 4213.04346875
transcript.pyannote[611].end 4215.38909375
transcript.pyannote[612].speaker SPEAKER_07
transcript.pyannote[612].start 4216.58721875
transcript.pyannote[612].end 4219.45596875
transcript.pyannote[613].speaker SPEAKER_07
transcript.pyannote[613].start 4219.96221875
transcript.pyannote[613].end 4220.89034375
transcript.pyannote[614].speaker SPEAKER_07
transcript.pyannote[614].start 4222.10534375
transcript.pyannote[614].end 4225.64909375
transcript.pyannote[615].speaker SPEAKER_07
transcript.pyannote[615].start 4225.73346875
transcript.pyannote[615].end 4228.45034375
transcript.pyannote[616].speaker SPEAKER_07
transcript.pyannote[616].start 4230.01971875
transcript.pyannote[616].end 4232.73659375
transcript.pyannote[617].speaker SPEAKER_07
transcript.pyannote[617].start 4232.98971875
transcript.pyannote[617].end 4233.88409375
transcript.pyannote[618].speaker SPEAKER_07
transcript.pyannote[618].start 4234.76159375
transcript.pyannote[618].end 4236.68534375
transcript.pyannote[619].speaker SPEAKER_07
transcript.pyannote[619].start 4237.19159375
transcript.pyannote[619].end 4238.96346875
transcript.pyannote[620].speaker SPEAKER_07
transcript.pyannote[620].start 4240.58346875
transcript.pyannote[620].end 4241.76471875
transcript.pyannote[621].speaker SPEAKER_07
transcript.pyannote[621].start 4242.67596875
transcript.pyannote[621].end 4242.99659375
transcript.pyannote[622].speaker SPEAKER_16
transcript.pyannote[622].start 4243.51971875
transcript.pyannote[622].end 4243.53659375
transcript.pyannote[623].speaker SPEAKER_07
transcript.pyannote[623].start 4243.53659375
transcript.pyannote[623].end 4245.89909375
transcript.pyannote[624].speaker SPEAKER_18
transcript.pyannote[624].start 4246.23659375
transcript.pyannote[624].end 4246.48971875
transcript.pyannote[625].speaker SPEAKER_07
transcript.pyannote[625].start 4246.48971875
transcript.pyannote[625].end 4249.05471875
transcript.pyannote[626].speaker SPEAKER_07
transcript.pyannote[626].start 4250.60721875
transcript.pyannote[626].end 4252.49721875
transcript.pyannote[627].speaker SPEAKER_07
transcript.pyannote[627].start 4253.22284375
transcript.pyannote[627].end 4254.48846875
transcript.pyannote[628].speaker SPEAKER_07
transcript.pyannote[628].start 4255.72034375
transcript.pyannote[628].end 4256.29409375
transcript.pyannote[629].speaker SPEAKER_07
transcript.pyannote[629].start 4257.12096875
transcript.pyannote[629].end 4258.55534375
transcript.pyannote[630].speaker SPEAKER_07
transcript.pyannote[630].start 4259.46659375
transcript.pyannote[630].end 4260.90096875
transcript.pyannote[631].speaker SPEAKER_07
transcript.pyannote[631].start 4261.79534375
transcript.pyannote[631].end 4263.02721875
transcript.pyannote[632].speaker SPEAKER_07
transcript.pyannote[632].start 4264.63034375
transcript.pyannote[632].end 4268.10659375
transcript.pyannote[633].speaker SPEAKER_07
transcript.pyannote[633].start 4268.76471875
transcript.pyannote[633].end 4271.24534375
transcript.pyannote[634].speaker SPEAKER_07
transcript.pyannote[634].start 4272.24096875
transcript.pyannote[634].end 4273.91159375
transcript.pyannote[635].speaker SPEAKER_07
transcript.pyannote[635].start 4275.34596875
transcript.pyannote[635].end 4276.96596875
transcript.pyannote[636].speaker SPEAKER_07
transcript.pyannote[636].start 4277.70846875
transcript.pyannote[636].end 4279.63221875
transcript.pyannote[637].speaker SPEAKER_07
transcript.pyannote[637].start 4280.37471875
transcript.pyannote[637].end 4283.12534375
transcript.pyannote[638].speaker SPEAKER_07
transcript.pyannote[638].start 4283.80034375
transcript.pyannote[638].end 4284.27284375
transcript.pyannote[639].speaker SPEAKER_07
transcript.pyannote[639].start 4285.38659375
transcript.pyannote[639].end 4286.04471875
transcript.pyannote[640].speaker SPEAKER_07
transcript.pyannote[640].start 4287.37784375
transcript.pyannote[640].end 4289.16659375
transcript.pyannote[641].speaker SPEAKER_07
transcript.pyannote[641].start 4289.47034375
transcript.pyannote[641].end 4290.80346875
transcript.pyannote[642].speaker SPEAKER_07
transcript.pyannote[642].start 4291.32659375
transcript.pyannote[642].end 4291.68096875
transcript.pyannote[643].speaker SPEAKER_07
transcript.pyannote[643].start 4292.25471875
transcript.pyannote[643].end 4293.65534375
transcript.pyannote[644].speaker SPEAKER_07
transcript.pyannote[644].start 4294.63409375
transcript.pyannote[644].end 4296.82784375
transcript.pyannote[645].speaker SPEAKER_07
transcript.pyannote[645].start 4297.67159375
transcript.pyannote[645].end 4298.14409375
transcript.pyannote[646].speaker SPEAKER_07
transcript.pyannote[646].start 4299.47721875
transcript.pyannote[646].end 4300.79346875
transcript.pyannote[647].speaker SPEAKER_07
transcript.pyannote[647].start 4301.28284375
transcript.pyannote[647].end 4302.44721875
transcript.pyannote[648].speaker SPEAKER_07
transcript.pyannote[648].start 4303.25721875
transcript.pyannote[648].end 4304.87721875
transcript.pyannote[649].speaker SPEAKER_07
transcript.pyannote[649].start 4306.54784375
transcript.pyannote[649].end 4307.77971875
transcript.pyannote[650].speaker SPEAKER_07
transcript.pyannote[650].start 4308.15096875
transcript.pyannote[650].end 4309.51784375
transcript.pyannote[651].speaker SPEAKER_07
transcript.pyannote[651].start 4310.15909375
transcript.pyannote[651].end 4311.47534375
transcript.pyannote[652].speaker SPEAKER_07
transcript.pyannote[652].start 4312.38659375
transcript.pyannote[652].end 4315.71096875
transcript.pyannote[653].speaker SPEAKER_07
transcript.pyannote[653].start 4316.50409375
transcript.pyannote[653].end 4318.69784375
transcript.pyannote[654].speaker SPEAKER_07
transcript.pyannote[654].start 4319.18721875
transcript.pyannote[654].end 4320.04784375
transcript.pyannote[655].speaker SPEAKER_07
transcript.pyannote[655].start 4320.55409375
transcript.pyannote[655].end 4322.07284375
transcript.pyannote[656].speaker SPEAKER_07
transcript.pyannote[656].start 4322.96721875
transcript.pyannote[656].end 4325.24534375
transcript.pyannote[657].speaker SPEAKER_07
transcript.pyannote[657].start 4326.74721875
transcript.pyannote[657].end 4330.59471875
transcript.pyannote[658].speaker SPEAKER_07
transcript.pyannote[658].start 4332.40034375
transcript.pyannote[658].end 4335.38721875
transcript.pyannote[659].speaker SPEAKER_07
transcript.pyannote[659].start 4335.55596875
transcript.pyannote[659].end 4336.51784375
transcript.pyannote[660].speaker SPEAKER_07
transcript.pyannote[660].start 4339.92659375
transcript.pyannote[660].end 4341.91784375
transcript.pyannote[661].speaker SPEAKER_07
transcript.pyannote[661].start 4342.13721875
transcript.pyannote[661].end 4343.03159375
transcript.pyannote[662].speaker SPEAKER_07
transcript.pyannote[662].start 4343.55471875
transcript.pyannote[662].end 4344.63471875
transcript.pyannote[663].speaker SPEAKER_07
transcript.pyannote[663].start 4345.47846875
transcript.pyannote[663].end 4347.28409375
transcript.pyannote[664].speaker SPEAKER_07
transcript.pyannote[664].start 4348.76909375
transcript.pyannote[664].end 4350.77721875
transcript.pyannote[665].speaker SPEAKER_07
transcript.pyannote[665].start 4351.23284375
transcript.pyannote[665].end 4351.68846875
transcript.pyannote[666].speaker SPEAKER_07
transcript.pyannote[666].start 4353.24096875
transcript.pyannote[666].end 4357.94909375
transcript.pyannote[667].speaker SPEAKER_07
transcript.pyannote[667].start 4359.46784375
transcript.pyannote[667].end 4361.84721875
transcript.pyannote[668].speaker SPEAKER_07
transcript.pyannote[668].start 4363.28159375
transcript.pyannote[668].end 4363.99034375
transcript.pyannote[669].speaker SPEAKER_07
transcript.pyannote[669].start 4365.25596875
transcript.pyannote[669].end 4366.16721875
transcript.pyannote[670].speaker SPEAKER_07
transcript.pyannote[670].start 4367.50034375
transcript.pyannote[670].end 4368.32721875
transcript.pyannote[671].speaker SPEAKER_07
transcript.pyannote[671].start 4368.98534375
transcript.pyannote[671].end 4371.01034375
transcript.pyannote[672].speaker SPEAKER_07
transcript.pyannote[672].start 4372.36034375
transcript.pyannote[672].end 4374.58784375
transcript.pyannote[673].speaker SPEAKER_07
transcript.pyannote[673].start 4376.32596875
transcript.pyannote[673].end 4377.79409375
transcript.pyannote[674].speaker SPEAKER_07
transcript.pyannote[674].start 4380.15659375
transcript.pyannote[674].end 4380.98346875
transcript.pyannote[675].speaker SPEAKER_07
transcript.pyannote[675].start 4381.37159375
transcript.pyannote[675].end 4382.21534375
transcript.pyannote[676].speaker SPEAKER_07
transcript.pyannote[676].start 4382.90721875
transcript.pyannote[676].end 4385.43846875
transcript.pyannote[677].speaker SPEAKER_07
transcript.pyannote[677].start 4386.33284375
transcript.pyannote[677].end 4387.68284375
transcript.pyannote[678].speaker SPEAKER_07
transcript.pyannote[678].start 4389.45471875
transcript.pyannote[678].end 4391.10846875
transcript.pyannote[679].speaker SPEAKER_07
transcript.pyannote[679].start 4392.28971875
transcript.pyannote[679].end 4393.70721875
transcript.pyannote[680].speaker SPEAKER_07
transcript.pyannote[680].start 4394.12909375
transcript.pyannote[680].end 4395.68159375
transcript.pyannote[681].speaker SPEAKER_07
transcript.pyannote[681].start 4396.47471875
transcript.pyannote[681].end 4398.09471875
transcript.pyannote[682].speaker SPEAKER_07
transcript.pyannote[682].start 4400.03534375
transcript.pyannote[682].end 4401.41909375
transcript.pyannote[683].speaker SPEAKER_07
transcript.pyannote[683].start 4404.00096875
transcript.pyannote[683].end 4406.48159375
transcript.pyannote[684].speaker SPEAKER_07
transcript.pyannote[684].start 4406.75159375
transcript.pyannote[684].end 4407.29159375
transcript.pyannote[685].speaker SPEAKER_07
transcript.pyannote[685].start 4408.20284375
transcript.pyannote[685].end 4409.41784375
transcript.pyannote[686].speaker SPEAKER_07
transcript.pyannote[686].start 4410.00846875
transcript.pyannote[686].end 4410.39659375
transcript.pyannote[687].speaker SPEAKER_07
transcript.pyannote[687].start 4412.84346875
transcript.pyannote[687].end 4414.04159375
transcript.pyannote[688].speaker SPEAKER_25
transcript.pyannote[688].start 4413.02909375
transcript.pyannote[688].end 4413.33284375
transcript.pyannote[689].speaker SPEAKER_07
transcript.pyannote[689].start 4414.19346875
transcript.pyannote[689].end 4414.75034375
transcript.pyannote[690].speaker SPEAKER_07
transcript.pyannote[690].start 4415.59409375
transcript.pyannote[690].end 4418.24346875
transcript.pyannote[691].speaker SPEAKER_07
transcript.pyannote[691].start 4418.58096875
transcript.pyannote[691].end 4419.79596875
transcript.pyannote[692].speaker SPEAKER_07
transcript.pyannote[692].start 4420.31909375
transcript.pyannote[692].end 4421.63534375
transcript.pyannote[693].speaker SPEAKER_07
transcript.pyannote[693].start 4421.97284375
transcript.pyannote[693].end 4427.28846875
transcript.pyannote[694].speaker SPEAKER_07
transcript.pyannote[694].start 4428.09846875
transcript.pyannote[694].end 4430.14034375
transcript.pyannote[695].speaker SPEAKER_07
transcript.pyannote[695].start 4431.22034375
transcript.pyannote[695].end 4433.29596875
transcript.pyannote[696].speaker SPEAKER_07
transcript.pyannote[696].start 4435.05096875
transcript.pyannote[696].end 4436.26596875
transcript.pyannote[697].speaker SPEAKER_07
transcript.pyannote[697].start 4436.83971875
transcript.pyannote[697].end 4437.27846875
transcript.pyannote[698].speaker SPEAKER_07
transcript.pyannote[698].start 4438.81409375
transcript.pyannote[698].end 4440.58596875
transcript.pyannote[699].speaker SPEAKER_07
transcript.pyannote[699].start 4441.26096875
transcript.pyannote[699].end 4441.75034375
transcript.pyannote[700].speaker SPEAKER_07
transcript.pyannote[700].start 4442.84721875
transcript.pyannote[700].end 4443.64034375
transcript.pyannote[701].speaker SPEAKER_07
transcript.pyannote[701].start 4444.14659375
transcript.pyannote[701].end 4446.61034375
transcript.pyannote[702].speaker SPEAKER_07
transcript.pyannote[702].start 4447.31909375
transcript.pyannote[702].end 4449.17534375
transcript.pyannote[703].speaker SPEAKER_07
transcript.pyannote[703].start 4449.86721875
transcript.pyannote[703].end 4450.91346875
transcript.pyannote[704].speaker SPEAKER_07
transcript.pyannote[704].start 4451.82471875
transcript.pyannote[704].end 4452.97221875
transcript.pyannote[705].speaker SPEAKER_07
transcript.pyannote[705].start 4453.59659375
transcript.pyannote[705].end 4455.92534375
transcript.pyannote[706].speaker SPEAKER_07
transcript.pyannote[706].start 4457.12346875
transcript.pyannote[706].end 4458.25409375
transcript.pyannote[707].speaker SPEAKER_07
transcript.pyannote[707].start 4459.19909375
transcript.pyannote[707].end 4460.51534375
transcript.pyannote[708].speaker SPEAKER_07
transcript.pyannote[708].start 4461.25784375
transcript.pyannote[708].end 4462.62471875
transcript.pyannote[709].speaker SPEAKER_07
transcript.pyannote[709].start 4464.22784375
transcript.pyannote[709].end 4466.03346875
transcript.pyannote[710].speaker SPEAKER_07
transcript.pyannote[710].start 4466.84346875
transcript.pyannote[710].end 4468.78409375
transcript.pyannote[711].speaker SPEAKER_07
transcript.pyannote[711].start 4469.62784375
transcript.pyannote[711].end 4471.38284375
transcript.pyannote[712].speaker SPEAKER_07
transcript.pyannote[712].start 4472.68221875
transcript.pyannote[712].end 4474.30221875
transcript.pyannote[713].speaker SPEAKER_07
transcript.pyannote[713].start 4474.58909375
transcript.pyannote[713].end 4477.10346875
transcript.pyannote[714].speaker SPEAKER_07
transcript.pyannote[714].start 4477.49159375
transcript.pyannote[714].end 4479.07784375
transcript.pyannote[715].speaker SPEAKER_07
transcript.pyannote[715].start 4479.61784375
transcript.pyannote[715].end 4481.03534375
transcript.pyannote[716].speaker SPEAKER_07
transcript.pyannote[716].start 4482.36846875
transcript.pyannote[716].end 4483.63409375
transcript.pyannote[717].speaker SPEAKER_07
transcript.pyannote[717].start 4484.91659375
transcript.pyannote[717].end 4485.70971875
transcript.pyannote[718].speaker SPEAKER_07
transcript.pyannote[718].start 4486.51971875
transcript.pyannote[718].end 4487.49846875
transcript.pyannote[719].speaker SPEAKER_07
transcript.pyannote[719].start 4489.16909375
transcript.pyannote[719].end 4490.23221875
transcript.pyannote[720].speaker SPEAKER_07
transcript.pyannote[720].start 4490.68784375
transcript.pyannote[720].end 4491.63284375
transcript.pyannote[721].speaker SPEAKER_07
transcript.pyannote[721].start 4493.15159375
transcript.pyannote[721].end 4494.33284375
transcript.pyannote[722].speaker SPEAKER_07
transcript.pyannote[722].start 4494.41721875
transcript.pyannote[722].end 4495.54784375
transcript.pyannote[723].speaker SPEAKER_07
transcript.pyannote[723].start 4495.91909375
transcript.pyannote[723].end 4498.33221875
transcript.pyannote[724].speaker SPEAKER_07
transcript.pyannote[724].start 4499.20971875
transcript.pyannote[724].end 4500.50909375
transcript.pyannote[725].speaker SPEAKER_07
transcript.pyannote[725].start 4501.38659375
transcript.pyannote[725].end 4504.74471875
transcript.pyannote[726].speaker SPEAKER_07
transcript.pyannote[726].start 4505.31846875
transcript.pyannote[726].end 4507.42784375
transcript.pyannote[727].speaker SPEAKER_07
transcript.pyannote[727].start 4507.98471875
transcript.pyannote[727].end 4510.81971875
transcript.pyannote[728].speaker SPEAKER_07
transcript.pyannote[728].start 4511.79846875
transcript.pyannote[728].end 4513.24971875
transcript.pyannote[729].speaker SPEAKER_07
transcript.pyannote[729].start 4513.77284375
transcript.pyannote[729].end 4516.84409375
transcript.pyannote[730].speaker SPEAKER_07
transcript.pyannote[730].start 4517.90721875
transcript.pyannote[730].end 4518.26159375
transcript.pyannote[731].speaker SPEAKER_07
transcript.pyannote[731].start 4519.29096875
transcript.pyannote[731].end 4522.59846875
transcript.pyannote[732].speaker SPEAKER_07
transcript.pyannote[732].start 4523.54346875
transcript.pyannote[732].end 4526.17596875
transcript.pyannote[733].speaker SPEAKER_07
transcript.pyannote[733].start 4526.74971875
transcript.pyannote[733].end 4528.33596875
transcript.pyannote[734].speaker SPEAKER_07
transcript.pyannote[734].start 4529.75346875
transcript.pyannote[734].end 4533.22971875
transcript.pyannote[735].speaker SPEAKER_07
transcript.pyannote[735].start 4534.49534375
transcript.pyannote[735].end 4537.60034375
transcript.pyannote[736].speaker SPEAKER_07
transcript.pyannote[736].start 4539.23721875
transcript.pyannote[736].end 4540.94159375
transcript.pyannote[737].speaker SPEAKER_07
transcript.pyannote[737].start 4541.90346875
transcript.pyannote[737].end 4545.07596875
transcript.pyannote[738].speaker SPEAKER_07
transcript.pyannote[738].start 4545.81846875
transcript.pyannote[738].end 4548.26534375
transcript.pyannote[739].speaker SPEAKER_07
transcript.pyannote[739].start 4549.21034375
transcript.pyannote[739].end 4552.90596875
transcript.pyannote[740].speaker SPEAKER_25
transcript.pyannote[740].start 4549.39596875
transcript.pyannote[740].end 4550.05409375
transcript.pyannote[741].speaker SPEAKER_07
transcript.pyannote[741].start 4553.61471875
transcript.pyannote[741].end 4553.63159375
transcript.pyannote[742].speaker SPEAKER_25
transcript.pyannote[742].start 4553.63159375
transcript.pyannote[742].end 4562.42346875
transcript.pyannote[743].speaker SPEAKER_25
transcript.pyannote[743].start 4562.49096875
transcript.pyannote[743].end 4572.44721875
transcript.pyannote[744].speaker SPEAKER_07
transcript.pyannote[744].start 4572.34596875
transcript.pyannote[744].end 4574.94471875
transcript.pyannote[745].speaker SPEAKER_07
transcript.pyannote[745].start 4575.29909375
transcript.pyannote[745].end 4575.72096875
transcript.pyannote[746].speaker SPEAKER_07
transcript.pyannote[746].start 4576.69971875
transcript.pyannote[746].end 4580.49659375
transcript.pyannote[747].speaker SPEAKER_07
transcript.pyannote[747].start 4581.62721875
transcript.pyannote[747].end 4583.98971875
transcript.pyannote[748].speaker SPEAKER_07
transcript.pyannote[748].start 4584.12471875
transcript.pyannote[748].end 4586.62221875
transcript.pyannote[749].speaker SPEAKER_07
transcript.pyannote[749].start 4587.04409375
transcript.pyannote[749].end 4590.45284375
transcript.pyannote[750].speaker SPEAKER_07
transcript.pyannote[750].start 4591.29659375
transcript.pyannote[750].end 4593.28784375
transcript.pyannote[751].speaker SPEAKER_07
transcript.pyannote[751].start 4594.23284375
transcript.pyannote[751].end 4596.27471875
transcript.pyannote[752].speaker SPEAKER_07
transcript.pyannote[752].start 4597.54034375
transcript.pyannote[752].end 4598.13096875
transcript.pyannote[753].speaker SPEAKER_07
transcript.pyannote[753].start 4599.39659375
transcript.pyannote[753].end 4600.37534375
transcript.pyannote[754].speaker SPEAKER_07
transcript.pyannote[754].start 4601.75909375
transcript.pyannote[754].end 4603.44659375
transcript.pyannote[755].speaker SPEAKER_07
transcript.pyannote[755].start 4604.08784375
transcript.pyannote[755].end 4607.15909375
transcript.pyannote[756].speaker SPEAKER_07
transcript.pyannote[756].start 4608.03659375
transcript.pyannote[756].end 4616.91284375
transcript.pyannote[757].speaker SPEAKER_25
transcript.pyannote[757].start 4616.57534375
transcript.pyannote[757].end 4616.59221875
transcript.pyannote[758].speaker SPEAKER_25
transcript.pyannote[758].start 4617.63846875
transcript.pyannote[758].end 4624.50659375
transcript.pyannote[759].speaker SPEAKER_07
transcript.pyannote[759].start 4624.50659375
transcript.pyannote[759].end 4627.17284375
transcript.pyannote[760].speaker SPEAKER_25
transcript.pyannote[760].start 4624.52346875
transcript.pyannote[760].end 4626.16034375
transcript.pyannote[761].speaker SPEAKER_07
transcript.pyannote[761].start 4627.49346875
transcript.pyannote[761].end 4628.97846875
transcript.pyannote[762].speaker SPEAKER_07
transcript.pyannote[762].start 4629.40034375
transcript.pyannote[762].end 4632.31971875
transcript.pyannote[763].speaker SPEAKER_07
transcript.pyannote[763].start 4632.89346875
transcript.pyannote[763].end 4634.73284375
transcript.pyannote[764].speaker SPEAKER_07
transcript.pyannote[764].start 4635.40784375
transcript.pyannote[764].end 4636.28534375
transcript.pyannote[765].speaker SPEAKER_07
transcript.pyannote[765].start 4636.47096875
transcript.pyannote[765].end 4637.46659375
transcript.pyannote[766].speaker SPEAKER_07
transcript.pyannote[766].start 4637.97284375
transcript.pyannote[766].end 4639.13721875
transcript.pyannote[767].speaker SPEAKER_07
transcript.pyannote[767].start 4640.72346875
transcript.pyannote[767].end 4646.51159375
transcript.pyannote[768].speaker SPEAKER_07
transcript.pyannote[768].start 4647.43971875
transcript.pyannote[768].end 4649.21159375
transcript.pyannote[769].speaker SPEAKER_07
transcript.pyannote[769].start 4650.19034375
transcript.pyannote[769].end 4651.35471875
transcript.pyannote[770].speaker SPEAKER_07
transcript.pyannote[770].start 4651.82721875
transcript.pyannote[770].end 4654.71284375
transcript.pyannote[771].speaker SPEAKER_07
transcript.pyannote[771].start 4655.40471875
transcript.pyannote[771].end 4656.14721875
transcript.pyannote[772].speaker SPEAKER_07
transcript.pyannote[772].start 4656.75471875
transcript.pyannote[772].end 4657.78409375
transcript.pyannote[773].speaker SPEAKER_07
transcript.pyannote[773].start 4658.77971875
transcript.pyannote[773].end 4659.97784375
transcript.pyannote[774].speaker SPEAKER_07
transcript.pyannote[774].start 4660.77096875
transcript.pyannote[774].end 4661.90159375
transcript.pyannote[775].speaker SPEAKER_07
transcript.pyannote[775].start 4662.74534375
transcript.pyannote[775].end 4664.26409375
transcript.pyannote[776].speaker SPEAKER_07
transcript.pyannote[776].start 4664.71971875
transcript.pyannote[776].end 4666.35659375
transcript.pyannote[777].speaker SPEAKER_07
transcript.pyannote[777].start 4667.03159375
transcript.pyannote[777].end 4668.71909375
transcript.pyannote[778].speaker SPEAKER_07
transcript.pyannote[778].start 4669.19159375
transcript.pyannote[778].end 4672.19534375
transcript.pyannote[779].speaker SPEAKER_07
transcript.pyannote[779].start 4672.90409375
transcript.pyannote[779].end 4674.10221875
transcript.pyannote[780].speaker SPEAKER_07
transcript.pyannote[780].start 4675.04721875
transcript.pyannote[780].end 4677.02159375
transcript.pyannote[781].speaker SPEAKER_07
transcript.pyannote[781].start 4677.20721875
transcript.pyannote[781].end 4678.30409375
transcript.pyannote[782].speaker SPEAKER_07
transcript.pyannote[782].start 4679.11409375
transcript.pyannote[782].end 4680.97034375
transcript.pyannote[783].speaker SPEAKER_07
transcript.pyannote[783].start 4681.47659375
transcript.pyannote[783].end 4683.77159375
transcript.pyannote[784].speaker SPEAKER_07
transcript.pyannote[784].start 4684.39596875
transcript.pyannote[784].end 4685.66159375
transcript.pyannote[785].speaker SPEAKER_07
transcript.pyannote[785].start 4685.93159375
transcript.pyannote[785].end 4686.96096875
transcript.pyannote[786].speaker SPEAKER_07
transcript.pyannote[786].start 4687.24784375
transcript.pyannote[786].end 4689.12096875
transcript.pyannote[787].speaker SPEAKER_07
transcript.pyannote[787].start 4689.39096875
transcript.pyannote[787].end 4690.25159375
transcript.pyannote[788].speaker SPEAKER_07
transcript.pyannote[788].start 4690.99409375
transcript.pyannote[788].end 4692.32721875
transcript.pyannote[789].speaker SPEAKER_07
transcript.pyannote[789].start 4692.68159375
transcript.pyannote[789].end 4692.98534375
transcript.pyannote[790].speaker SPEAKER_07
transcript.pyannote[790].start 4693.28909375
transcript.pyannote[790].end 4693.91346875
transcript.pyannote[791].speaker SPEAKER_07
transcript.pyannote[791].start 4694.20034375
transcript.pyannote[791].end 4695.04409375
transcript.pyannote[792].speaker SPEAKER_07
transcript.pyannote[792].start 4695.56721875
transcript.pyannote[792].end 4697.13659375
transcript.pyannote[793].speaker SPEAKER_07
transcript.pyannote[793].start 4697.71034375
transcript.pyannote[793].end 4698.46971875
transcript.pyannote[794].speaker SPEAKER_07
transcript.pyannote[794].start 4698.77346875
transcript.pyannote[794].end 4700.10659375
transcript.pyannote[795].speaker SPEAKER_07
transcript.pyannote[795].start 4700.61284375
transcript.pyannote[795].end 4701.96284375
transcript.pyannote[796].speaker SPEAKER_07
transcript.pyannote[796].start 4702.09784375
transcript.pyannote[796].end 4704.15659375
transcript.pyannote[797].speaker SPEAKER_07
transcript.pyannote[797].start 4704.74721875
transcript.pyannote[797].end 4705.37159375
transcript.pyannote[798].speaker SPEAKER_07
transcript.pyannote[798].start 4706.24909375
transcript.pyannote[798].end 4706.90721875
transcript.pyannote[799].speaker SPEAKER_07
transcript.pyannote[799].start 4707.83534375
transcript.pyannote[799].end 4710.61971875
transcript.pyannote[800].speaker SPEAKER_07
transcript.pyannote[800].start 4710.97409375
transcript.pyannote[800].end 4711.73346875
transcript.pyannote[801].speaker SPEAKER_07
transcript.pyannote[801].start 4713.45471875
transcript.pyannote[801].end 4715.31096875
transcript.pyannote[802].speaker SPEAKER_07
transcript.pyannote[802].start 4716.34034375
transcript.pyannote[802].end 4720.30596875
transcript.pyannote[803].speaker SPEAKER_07
transcript.pyannote[803].start 4721.30159375
transcript.pyannote[803].end 4722.93846875
transcript.pyannote[804].speaker SPEAKER_25
transcript.pyannote[804].start 4724.76096875
transcript.pyannote[804].end 4732.00034375
transcript.pyannote[805].speaker SPEAKER_25
transcript.pyannote[805].start 4732.20284375
transcript.pyannote[805].end 4733.63721875
transcript.pyannote[806].speaker SPEAKER_25
transcript.pyannote[806].start 4734.05909375
transcript.pyannote[806].end 4735.78034375
transcript.pyannote[807].speaker SPEAKER_07
transcript.pyannote[807].start 4734.10971875
transcript.pyannote[807].end 4735.59471875
transcript.pyannote[808].speaker SPEAKER_25
transcript.pyannote[808].start 4736.05034375
transcript.pyannote[808].end 4737.43409375
transcript.pyannote[809].speaker SPEAKER_07
transcript.pyannote[809].start 4736.21909375
transcript.pyannote[809].end 4737.58596875
transcript.pyannote[810].speaker SPEAKER_07
transcript.pyannote[810].start 4738.17659375
transcript.pyannote[810].end 4738.19346875
transcript.pyannote[811].speaker SPEAKER_25
transcript.pyannote[811].start 4738.19346875
transcript.pyannote[811].end 4738.22721875
transcript.pyannote[812].speaker SPEAKER_07
transcript.pyannote[812].start 4738.22721875
transcript.pyannote[812].end 4738.96971875
transcript.pyannote[813].speaker SPEAKER_25
transcript.pyannote[813].start 4738.96971875
transcript.pyannote[813].end 4760.02971875
transcript.pyannote[814].speaker SPEAKER_07
transcript.pyannote[814].start 4744.63971875
transcript.pyannote[814].end 4747.08659375
transcript.pyannote[815].speaker SPEAKER_00
transcript.pyannote[815].start 4753.02659375
transcript.pyannote[815].end 4753.11096875
transcript.pyannote[816].speaker SPEAKER_00
transcript.pyannote[816].start 4753.17846875
transcript.pyannote[816].end 4753.31346875
transcript.pyannote[817].speaker SPEAKER_07
transcript.pyannote[817].start 4756.36784375
transcript.pyannote[817].end 4758.94971875
transcript.pyannote[818].speaker SPEAKER_07
transcript.pyannote[818].start 4760.02971875
transcript.pyannote[818].end 4766.47596875
transcript.pyannote[819].speaker SPEAKER_07
transcript.pyannote[819].start 4766.96534375
transcript.pyannote[819].end 4767.33659375
transcript.pyannote[820].speaker SPEAKER_07
transcript.pyannote[820].start 4769.31096875
transcript.pyannote[820].end 4769.63159375
transcript.pyannote[821].speaker SPEAKER_07
transcript.pyannote[821].start 4770.69471875
transcript.pyannote[821].end 4775.23409375
transcript.pyannote[822].speaker SPEAKER_07
transcript.pyannote[822].start 4776.38159375
transcript.pyannote[822].end 4776.70221875
transcript.pyannote[823].speaker SPEAKER_07
transcript.pyannote[823].start 4777.27596875
transcript.pyannote[823].end 4778.50784375
transcript.pyannote[824].speaker SPEAKER_07
transcript.pyannote[824].start 4778.69346875
transcript.pyannote[824].end 4780.56659375
transcript.pyannote[825].speaker SPEAKER_07
transcript.pyannote[825].start 4781.22471875
transcript.pyannote[825].end 4784.51534375
transcript.pyannote[826].speaker SPEAKER_07
transcript.pyannote[826].start 4785.37596875
transcript.pyannote[826].end 4785.78096875
transcript.pyannote[827].speaker SPEAKER_07
transcript.pyannote[827].start 4786.42221875
transcript.pyannote[827].end 4787.85659375
transcript.pyannote[828].speaker SPEAKER_07
transcript.pyannote[828].start 4788.22784375
transcript.pyannote[828].end 4790.40471875
transcript.pyannote[829].speaker SPEAKER_07
transcript.pyannote[829].start 4790.94471875
transcript.pyannote[829].end 4793.61096875
transcript.pyannote[830].speaker SPEAKER_07
transcript.pyannote[830].start 4796.00721875
transcript.pyannote[830].end 4796.86784375
transcript.pyannote[831].speaker SPEAKER_07
transcript.pyannote[831].start 4797.22221875
transcript.pyannote[831].end 4798.31909375
transcript.pyannote[832].speaker SPEAKER_07
transcript.pyannote[832].start 4798.60596875
transcript.pyannote[832].end 4800.76596875
transcript.pyannote[833].speaker SPEAKER_07
transcript.pyannote[833].start 4800.86721875
transcript.pyannote[833].end 4802.57159375
transcript.pyannote[834].speaker SPEAKER_07
transcript.pyannote[834].start 4803.58409375
transcript.pyannote[834].end 4804.25909375
transcript.pyannote[835].speaker SPEAKER_07
transcript.pyannote[835].start 4805.33909375
transcript.pyannote[835].end 4805.96346875
transcript.pyannote[836].speaker SPEAKER_07
transcript.pyannote[836].start 4806.55409375
transcript.pyannote[836].end 4812.00471875
transcript.pyannote[837].speaker SPEAKER_07
transcript.pyannote[837].start 4813.43909375
transcript.pyannote[837].end 4814.29971875
transcript.pyannote[838].speaker SPEAKER_07
transcript.pyannote[838].start 4814.65409375
transcript.pyannote[838].end 4815.70034375
transcript.pyannote[839].speaker SPEAKER_07
transcript.pyannote[839].start 4816.47659375
transcript.pyannote[839].end 4819.63221875
transcript.pyannote[840].speaker SPEAKER_07
transcript.pyannote[840].start 4819.85159375
transcript.pyannote[840].end 4820.18909375
transcript.pyannote[841].speaker SPEAKER_07
transcript.pyannote[841].start 4820.72909375
transcript.pyannote[841].end 4824.23909375
transcript.pyannote[842].speaker SPEAKER_07
transcript.pyannote[842].start 4825.09971875
transcript.pyannote[842].end 4825.52159375
transcript.pyannote[843].speaker SPEAKER_03
transcript.pyannote[843].start 4825.52159375
transcript.pyannote[843].end 4825.57221875
transcript.pyannote[844].speaker SPEAKER_03
transcript.pyannote[844].start 4825.80846875
transcript.pyannote[844].end 4825.82534375
transcript.pyannote[845].speaker SPEAKER_07
transcript.pyannote[845].start 4825.82534375
transcript.pyannote[845].end 4825.97721875
transcript.pyannote[846].speaker SPEAKER_03
transcript.pyannote[846].start 4825.97721875
transcript.pyannote[846].end 4831.69784375
transcript.pyannote[847].speaker SPEAKER_06
transcript.pyannote[847].start 4848.85971875
transcript.pyannote[847].end 4852.43721875
transcript.pyannote[848].speaker SPEAKER_06
transcript.pyannote[848].start 4853.51721875
transcript.pyannote[848].end 4855.96409375
transcript.pyannote[849].speaker SPEAKER_03
transcript.pyannote[849].start 4855.96409375
transcript.pyannote[849].end 4857.44909375
transcript.pyannote[850].speaker SPEAKER_06
transcript.pyannote[850].start 4857.44909375
transcript.pyannote[850].end 4857.46596875
transcript.pyannote[851].speaker SPEAKER_05
transcript.pyannote[851].start 4861.68471875
transcript.pyannote[851].end 4862.34284375
transcript.pyannote[852].speaker SPEAKER_05
transcript.pyannote[852].start 4862.98409375
transcript.pyannote[852].end 4865.07659375
transcript.pyannote[853].speaker SPEAKER_05
transcript.pyannote[853].start 4865.41409375
transcript.pyannote[853].end 4871.70846875
transcript.pyannote[854].speaker SPEAKER_05
transcript.pyannote[854].start 4872.21471875
transcript.pyannote[854].end 4883.95971875
transcript.pyannote[855].speaker SPEAKER_05
transcript.pyannote[855].start 4885.39409375
transcript.pyannote[855].end 4886.28846875
transcript.pyannote[856].speaker SPEAKER_05
transcript.pyannote[856].start 4887.57096875
transcript.pyannote[856].end 4888.53284375
transcript.pyannote[857].speaker SPEAKER_16
transcript.pyannote[857].start 4889.10659375
transcript.pyannote[857].end 4890.01784375
transcript.pyannote[858].speaker SPEAKER_05
transcript.pyannote[858].start 4890.42284375
transcript.pyannote[858].end 4891.08096875
transcript.pyannote[859].speaker SPEAKER_16
transcript.pyannote[859].start 4891.08096875
transcript.pyannote[859].end 4891.45221875
transcript.pyannote[860].speaker SPEAKER_05
transcript.pyannote[860].start 4892.43096875
transcript.pyannote[860].end 4893.57846875
transcript.pyannote[861].speaker SPEAKER_05
transcript.pyannote[861].start 4893.91596875
transcript.pyannote[861].end 4894.77659375
transcript.pyannote[862].speaker SPEAKER_05
transcript.pyannote[862].start 4896.22784375
transcript.pyannote[862].end 4897.56096875
transcript.pyannote[863].speaker SPEAKER_05
transcript.pyannote[863].start 4898.42159375
transcript.pyannote[863].end 4899.53534375
transcript.pyannote[864].speaker SPEAKER_05
transcript.pyannote[864].start 4900.05846875
transcript.pyannote[864].end 4903.75409375
transcript.pyannote[865].speaker SPEAKER_05
transcript.pyannote[865].start 4904.00721875
transcript.pyannote[865].end 4905.99846875
transcript.pyannote[866].speaker SPEAKER_05
transcript.pyannote[866].start 4906.65659375
transcript.pyannote[866].end 4907.75346875
transcript.pyannote[867].speaker SPEAKER_05
transcript.pyannote[867].start 4908.34409375
transcript.pyannote[867].end 4916.19096875
transcript.pyannote[868].speaker SPEAKER_05
transcript.pyannote[868].start 4916.64659375
transcript.pyannote[868].end 4917.94596875
transcript.pyannote[869].speaker SPEAKER_05
transcript.pyannote[869].start 4918.50284375
transcript.pyannote[869].end 4920.84846875
transcript.pyannote[870].speaker SPEAKER_05
transcript.pyannote[870].start 4921.15221875
transcript.pyannote[870].end 4922.83971875
transcript.pyannote[871].speaker SPEAKER_05
transcript.pyannote[871].start 4923.27846875
transcript.pyannote[871].end 4924.34159375
transcript.pyannote[872].speaker SPEAKER_05
transcript.pyannote[872].start 4924.62846875
transcript.pyannote[872].end 4925.48909375
transcript.pyannote[873].speaker SPEAKER_05
transcript.pyannote[873].start 4925.97846875
transcript.pyannote[873].end 4934.75346875
transcript.pyannote[874].speaker SPEAKER_05
transcript.pyannote[874].start 4934.98971875
transcript.pyannote[874].end 4963.30596875
transcript.pyannote[875].speaker SPEAKER_05
transcript.pyannote[875].start 4963.62659375
transcript.pyannote[875].end 4978.40909375
transcript.pyannote[876].speaker SPEAKER_05
transcript.pyannote[876].start 4978.52721875
transcript.pyannote[876].end 4997.47784375
transcript.pyannote[877].speaker SPEAKER_05
transcript.pyannote[877].start 4997.84909375
transcript.pyannote[877].end 5032.64534375
transcript.pyannote[878].speaker SPEAKER_05
transcript.pyannote[878].start 5033.20221875
transcript.pyannote[878].end 5048.11971875
transcript.pyannote[879].speaker SPEAKER_05
transcript.pyannote[879].start 5048.55846875
transcript.pyannote[879].end 5048.89596875
transcript.pyannote[880].speaker SPEAKER_05
transcript.pyannote[880].start 5049.26721875
transcript.pyannote[880].end 5049.85784375
transcript.pyannote[881].speaker SPEAKER_05
transcript.pyannote[881].start 5050.38096875
transcript.pyannote[881].end 5061.99096875
transcript.pyannote[882].speaker SPEAKER_05
transcript.pyannote[882].start 5062.44659375
transcript.pyannote[882].end 5063.30721875
transcript.pyannote[883].speaker SPEAKER_05
transcript.pyannote[883].start 5063.39159375
transcript.pyannote[883].end 5072.11596875
transcript.pyannote[884].speaker SPEAKER_05
transcript.pyannote[884].start 5072.82471875
transcript.pyannote[884].end 5077.04346875
transcript.pyannote[885].speaker SPEAKER_16
transcript.pyannote[885].start 5074.37721875
transcript.pyannote[885].end 5075.05221875
transcript.pyannote[886].speaker SPEAKER_16
transcript.pyannote[886].start 5076.13221875
transcript.pyannote[886].end 5077.66784375
transcript.pyannote[887].speaker SPEAKER_16
transcript.pyannote[887].start 5077.93784375
transcript.pyannote[887].end 5085.44721875
transcript.pyannote[888].speaker SPEAKER_05
transcript.pyannote[888].start 5086.64534375
transcript.pyannote[888].end 5088.73784375
transcript.pyannote[889].speaker SPEAKER_11
transcript.pyannote[889].start 5088.43409375
transcript.pyannote[889].end 5127.71909375
transcript.pyannote[890].speaker SPEAKER_11
transcript.pyannote[890].start 5127.83721875
transcript.pyannote[890].end 5158.76909375
transcript.pyannote[891].speaker SPEAKER_05
transcript.pyannote[891].start 5157.72284375
transcript.pyannote[891].end 5163.67971875
transcript.pyannote[892].speaker SPEAKER_11
transcript.pyannote[892].start 5160.10221875
transcript.pyannote[892].end 5161.48596875
transcript.pyannote[893].speaker SPEAKER_11
transcript.pyannote[893].start 5163.49409375
transcript.pyannote[893].end 5169.34971875
transcript.pyannote[894].speaker SPEAKER_11
transcript.pyannote[894].start 5169.50159375
transcript.pyannote[894].end 5169.55221875
transcript.pyannote[895].speaker SPEAKER_05
transcript.pyannote[895].start 5169.55221875
transcript.pyannote[895].end 5170.75034375
transcript.pyannote[896].speaker SPEAKER_11
transcript.pyannote[896].start 5169.58596875
transcript.pyannote[896].end 5174.05784375
transcript.pyannote[897].speaker SPEAKER_05
transcript.pyannote[897].start 5174.05784375
transcript.pyannote[897].end 5180.87534375
transcript.pyannote[898].speaker SPEAKER_05
transcript.pyannote[898].start 5181.39846875
transcript.pyannote[898].end 5188.18221875
transcript.pyannote[899].speaker SPEAKER_05
transcript.pyannote[899].start 5188.43534375
transcript.pyannote[899].end 5199.75846875
transcript.pyannote[900].speaker SPEAKER_05
transcript.pyannote[900].start 5200.01159375
transcript.pyannote[900].end 5200.34909375
transcript.pyannote[901].speaker SPEAKER_05
transcript.pyannote[901].start 5200.63596875
transcript.pyannote[901].end 5206.49159375
transcript.pyannote[902].speaker SPEAKER_05
transcript.pyannote[902].start 5206.86284375
transcript.pyannote[902].end 5217.62909375
transcript.pyannote[903].speaker SPEAKER_19
transcript.pyannote[903].start 5210.84534375
transcript.pyannote[903].end 5211.08159375
transcript.pyannote[904].speaker SPEAKER_05
transcript.pyannote[904].start 5218.00034375
transcript.pyannote[904].end 5218.69221875
transcript.pyannote[905].speaker SPEAKER_05
transcript.pyannote[905].start 5219.29971875
transcript.pyannote[905].end 5222.92784375
transcript.pyannote[906].speaker SPEAKER_25
transcript.pyannote[906].start 5222.92784375
transcript.pyannote[906].end 5269.45221875
transcript.pyannote[907].speaker SPEAKER_25
transcript.pyannote[907].start 5269.99221875
transcript.pyannote[907].end 5283.03659375
transcript.pyannote[908].speaker SPEAKER_05
transcript.pyannote[908].start 5283.03659375
transcript.pyannote[908].end 5283.13784375
transcript.pyannote[909].speaker SPEAKER_05
transcript.pyannote[909].start 5284.15034375
transcript.pyannote[909].end 5287.74471875
transcript.pyannote[910].speaker SPEAKER_05
transcript.pyannote[910].start 5288.35221875
transcript.pyannote[910].end 5290.15784375
transcript.pyannote[911].speaker SPEAKER_05
transcript.pyannote[911].start 5290.41096875
transcript.pyannote[911].end 5293.71846875
transcript.pyannote[912].speaker SPEAKER_05
transcript.pyannote[912].start 5294.41034375
transcript.pyannote[912].end 5299.64159375
transcript.pyannote[913].speaker SPEAKER_05
transcript.pyannote[913].start 5300.51909375
transcript.pyannote[913].end 5301.76784375
transcript.pyannote[914].speaker SPEAKER_05
transcript.pyannote[914].start 5302.49346875
transcript.pyannote[914].end 5303.96159375
transcript.pyannote[915].speaker SPEAKER_05
transcript.pyannote[915].start 5304.23159375
transcript.pyannote[915].end 5306.13846875
transcript.pyannote[916].speaker SPEAKER_05
transcript.pyannote[916].start 5306.47596875
transcript.pyannote[916].end 5308.28159375
transcript.pyannote[917].speaker SPEAKER_05
transcript.pyannote[917].start 5308.63596875
transcript.pyannote[917].end 5338.23471875
transcript.pyannote[918].speaker SPEAKER_00
transcript.pyannote[918].start 5317.02284375
transcript.pyannote[918].end 5317.34346875
transcript.pyannote[919].speaker SPEAKER_05
transcript.pyannote[919].start 5339.16284375
transcript.pyannote[919].end 5340.83346875
transcript.pyannote[920].speaker SPEAKER_05
transcript.pyannote[920].start 5341.44096875
transcript.pyannote[920].end 5351.88659375
transcript.pyannote[921].speaker SPEAKER_05
transcript.pyannote[921].start 5352.93284375
transcript.pyannote[921].end 5353.94534375
transcript.pyannote[922].speaker SPEAKER_05
transcript.pyannote[922].start 5354.85659375
transcript.pyannote[922].end 5357.72534375
transcript.pyannote[923].speaker SPEAKER_05
transcript.pyannote[923].start 5358.45096875
transcript.pyannote[923].end 5359.78409375
transcript.pyannote[924].speaker SPEAKER_16
transcript.pyannote[924].start 5359.96971875
transcript.pyannote[924].end 5362.28159375
transcript.pyannote[925].speaker SPEAKER_05
transcript.pyannote[925].start 5362.28159375
transcript.pyannote[925].end 5367.15846875
transcript.pyannote[926].speaker SPEAKER_05
transcript.pyannote[926].start 5368.05284375
transcript.pyannote[926].end 5381.80596875
transcript.pyannote[927].speaker SPEAKER_05
transcript.pyannote[927].start 5382.43034375
transcript.pyannote[927].end 5383.35846875
transcript.pyannote[928].speaker SPEAKER_05
transcript.pyannote[928].start 5384.50596875
transcript.pyannote[928].end 5393.55096875
transcript.pyannote[929].speaker SPEAKER_05
transcript.pyannote[929].start 5393.83784375
transcript.pyannote[929].end 5399.96346875
transcript.pyannote[930].speaker SPEAKER_05
transcript.pyannote[930].start 5402.89971875
transcript.pyannote[930].end 5402.91659375
transcript.pyannote[931].speaker SPEAKER_16
transcript.pyannote[931].start 5402.91659375
transcript.pyannote[931].end 5402.93346875
transcript.pyannote[932].speaker SPEAKER_05
transcript.pyannote[932].start 5402.93346875
transcript.pyannote[932].end 5402.96721875
transcript.pyannote[933].speaker SPEAKER_16
transcript.pyannote[933].start 5402.96721875
transcript.pyannote[933].end 5410.40909375
transcript.pyannote[934].speaker SPEAKER_16
transcript.pyannote[934].start 5410.62846875
transcript.pyannote[934].end 5418.03659375
transcript.pyannote[935].speaker SPEAKER_05
transcript.pyannote[935].start 5418.03659375
transcript.pyannote[935].end 5418.67784375
transcript.pyannote[936].speaker SPEAKER_18
transcript.pyannote[936].start 5418.76221875
transcript.pyannote[936].end 5418.98159375
transcript.pyannote[937].speaker SPEAKER_05
transcript.pyannote[937].start 5419.40346875
transcript.pyannote[937].end 5421.61409375
transcript.pyannote[938].speaker SPEAKER_18
transcript.pyannote[938].start 5421.91784375
transcript.pyannote[938].end 5422.20471875
transcript.pyannote[939].speaker SPEAKER_05
transcript.pyannote[939].start 5422.49159375
transcript.pyannote[939].end 5424.36471875
transcript.pyannote[940].speaker SPEAKER_05
transcript.pyannote[940].start 5425.15784375
transcript.pyannote[940].end 5426.32221875
transcript.pyannote[941].speaker SPEAKER_05
transcript.pyannote[941].start 5426.71034375
transcript.pyannote[941].end 5450.92596875
transcript.pyannote[942].speaker SPEAKER_05
transcript.pyannote[942].start 5451.98909375
transcript.pyannote[942].end 5461.59096875
transcript.pyannote[943].speaker SPEAKER_05
transcript.pyannote[943].start 5462.21534375
transcript.pyannote[943].end 5466.34971875
transcript.pyannote[944].speaker SPEAKER_05
transcript.pyannote[944].start 5466.55221875
transcript.pyannote[944].end 5474.39909375
transcript.pyannote[945].speaker SPEAKER_05
transcript.pyannote[945].start 5474.90534375
transcript.pyannote[945].end 5476.32284375
transcript.pyannote[946].speaker SPEAKER_05
transcript.pyannote[946].start 5476.98096875
transcript.pyannote[946].end 5477.36909375
transcript.pyannote[947].speaker SPEAKER_05
transcript.pyannote[947].start 5478.09471875
transcript.pyannote[947].end 5480.03534375
transcript.pyannote[948].speaker SPEAKER_05
transcript.pyannote[948].start 5480.72721875
transcript.pyannote[948].end 5489.63721875
transcript.pyannote[949].speaker SPEAKER_05
transcript.pyannote[949].start 5490.27846875
transcript.pyannote[949].end 5493.82221875
transcript.pyannote[950].speaker SPEAKER_05
transcript.pyannote[950].start 5494.10909375
transcript.pyannote[950].end 5505.51659375
transcript.pyannote[951].speaker SPEAKER_05
transcript.pyannote[951].start 5505.65159375
transcript.pyannote[951].end 5520.33284375
transcript.pyannote[952].speaker SPEAKER_00
transcript.pyannote[952].start 5513.97096875
transcript.pyannote[952].end 5514.79784375
transcript.pyannote[953].speaker SPEAKER_05
transcript.pyannote[953].start 5521.02471875
transcript.pyannote[953].end 5521.34534375
transcript.pyannote[954].speaker SPEAKER_05
transcript.pyannote[954].start 5521.95284375
transcript.pyannote[954].end 5526.89721875
transcript.pyannote[955].speaker SPEAKER_05
transcript.pyannote[955].start 5527.04909375
transcript.pyannote[955].end 5528.61846875
transcript.pyannote[956].speaker SPEAKER_05
transcript.pyannote[956].start 5529.17534375
transcript.pyannote[956].end 5530.99784375
transcript.pyannote[957].speaker SPEAKER_05
transcript.pyannote[957].start 5531.09909375
transcript.pyannote[957].end 5533.83284375
transcript.pyannote[958].speaker SPEAKER_05
transcript.pyannote[958].start 5534.92971875
transcript.pyannote[958].end 5536.80284375
transcript.pyannote[959].speaker SPEAKER_16
transcript.pyannote[959].start 5536.80284375
transcript.pyannote[959].end 5536.83659375
transcript.pyannote[960].speaker SPEAKER_16
transcript.pyannote[960].start 5537.52846875
transcript.pyannote[960].end 5537.54534375
transcript.pyannote[961].speaker SPEAKER_05
transcript.pyannote[961].start 5537.54534375
transcript.pyannote[961].end 5537.96721875
transcript.pyannote[962].speaker SPEAKER_16
transcript.pyannote[962].start 5537.96721875
transcript.pyannote[962].end 5540.46471875
transcript.pyannote[963].speaker SPEAKER_16
transcript.pyannote[963].start 5541.13971875
transcript.pyannote[963].end 5545.96596875
transcript.pyannote[964].speaker SPEAKER_18
transcript.pyannote[964].start 5545.96596875
transcript.pyannote[964].end 5546.23596875
transcript.pyannote[965].speaker SPEAKER_05
transcript.pyannote[965].start 5546.23596875
transcript.pyannote[965].end 5546.25284375
transcript.pyannote[966].speaker SPEAKER_18
transcript.pyannote[966].start 5546.25284375
transcript.pyannote[966].end 5546.26971875
transcript.pyannote[967].speaker SPEAKER_16
transcript.pyannote[967].start 5546.26971875
transcript.pyannote[967].end 5546.30346875
transcript.pyannote[968].speaker SPEAKER_05
transcript.pyannote[968].start 5546.30346875
transcript.pyannote[968].end 5546.32034375
transcript.pyannote[969].speaker SPEAKER_16
transcript.pyannote[969].start 5546.32034375
transcript.pyannote[969].end 5546.42159375
transcript.pyannote[970].speaker SPEAKER_05
transcript.pyannote[970].start 5546.42159375
transcript.pyannote[970].end 5550.20159375
transcript.pyannote[971].speaker SPEAKER_05
transcript.pyannote[971].start 5551.78784375
transcript.pyannote[971].end 5554.28534375
transcript.pyannote[972].speaker SPEAKER_05
transcript.pyannote[972].start 5555.04471875
transcript.pyannote[972].end 5556.44534375
transcript.pyannote[973].speaker SPEAKER_05
transcript.pyannote[973].start 5556.88409375
transcript.pyannote[973].end 5558.63909375
transcript.pyannote[974].speaker SPEAKER_05
transcript.pyannote[974].start 5559.48284375
transcript.pyannote[974].end 5564.35971875
transcript.pyannote[975].speaker SPEAKER_05
transcript.pyannote[975].start 5564.98409375
transcript.pyannote[975].end 5567.76846875
transcript.pyannote[976].speaker SPEAKER_05
transcript.pyannote[976].start 5568.24096875
transcript.pyannote[976].end 5571.43034375
transcript.pyannote[977].speaker SPEAKER_05
transcript.pyannote[977].start 5572.79721875
transcript.pyannote[977].end 5575.66596875
transcript.pyannote[978].speaker SPEAKER_05
transcript.pyannote[978].start 5575.83471875
transcript.pyannote[978].end 5576.03721875
transcript.pyannote[979].speaker SPEAKER_15
transcript.pyannote[979].start 5576.49284375
transcript.pyannote[979].end 5576.62784375
transcript.pyannote[980].speaker SPEAKER_05
transcript.pyannote[980].start 5576.62784375
transcript.pyannote[980].end 5577.87659375
transcript.pyannote[981].speaker SPEAKER_15
transcript.pyannote[981].start 5576.64471875
transcript.pyannote[981].end 5576.84721875
transcript.pyannote[982].speaker SPEAKER_03
transcript.pyannote[982].start 5577.87659375
transcript.pyannote[982].end 5577.89346875
transcript.pyannote[983].speaker SPEAKER_05
transcript.pyannote[983].start 5578.43346875
transcript.pyannote[983].end 5578.97346875
transcript.pyannote[984].speaker SPEAKER_03
transcript.pyannote[984].start 5578.97346875
transcript.pyannote[984].end 5584.87971875
transcript.pyannote[985].speaker SPEAKER_02
transcript.pyannote[985].start 5598.17721875
transcript.pyannote[985].end 5602.10909375
transcript.pyannote[986].speaker SPEAKER_03
transcript.pyannote[986].start 5602.36221875
transcript.pyannote[986].end 5603.79659375
transcript.pyannote[987].speaker SPEAKER_02
transcript.pyannote[987].start 5615.47409375
transcript.pyannote[987].end 5616.21659375
transcript.pyannote[988].speaker SPEAKER_02
transcript.pyannote[988].start 5616.89159375
transcript.pyannote[988].end 5616.97596875
transcript.pyannote[989].speaker SPEAKER_18
transcript.pyannote[989].start 5616.97596875
transcript.pyannote[989].end 5617.76909375
transcript.pyannote[990].speaker SPEAKER_02
transcript.pyannote[990].start 5617.04346875
transcript.pyannote[990].end 5619.28784375
transcript.pyannote[991].speaker SPEAKER_02
transcript.pyannote[991].start 5620.11471875
transcript.pyannote[991].end 5622.54471875
transcript.pyannote[992].speaker SPEAKER_02
transcript.pyannote[992].start 5623.77659375
transcript.pyannote[992].end 5625.36284375
transcript.pyannote[993].speaker SPEAKER_02
transcript.pyannote[993].start 5626.30784375
transcript.pyannote[993].end 5627.26971875
transcript.pyannote[994].speaker SPEAKER_02
transcript.pyannote[994].start 5628.07971875
transcript.pyannote[994].end 5629.78409375
transcript.pyannote[995].speaker SPEAKER_02
transcript.pyannote[995].start 5630.20596875
transcript.pyannote[995].end 5631.87659375
transcript.pyannote[996].speaker SPEAKER_02
transcript.pyannote[996].start 5633.32784375
transcript.pyannote[996].end 5634.28971875
transcript.pyannote[997].speaker SPEAKER_02
transcript.pyannote[997].start 5635.79159375
transcript.pyannote[997].end 5636.93909375
transcript.pyannote[998].speaker SPEAKER_02
transcript.pyannote[998].start 5637.83346875
transcript.pyannote[998].end 5638.49159375
transcript.pyannote[999].speaker SPEAKER_02
transcript.pyannote[999].start 5639.31846875
transcript.pyannote[999].end 5640.43221875
transcript.pyannote[1000].speaker SPEAKER_02
transcript.pyannote[1000].start 5641.86659375
transcript.pyannote[1000].end 5642.71034375
transcript.pyannote[1001].speaker SPEAKER_02
transcript.pyannote[1001].start 5644.06034375
transcript.pyannote[1001].end 5644.93784375
transcript.pyannote[1002].speaker SPEAKER_02
transcript.pyannote[1002].start 5646.33846875
transcript.pyannote[1002].end 5647.11471875
transcript.pyannote[1003].speaker SPEAKER_02
transcript.pyannote[1003].start 5650.30409375
transcript.pyannote[1003].end 5651.31659375
transcript.pyannote[1004].speaker SPEAKER_02
transcript.pyannote[1004].start 5652.53159375
transcript.pyannote[1004].end 5653.79721875
transcript.pyannote[1005].speaker SPEAKER_02
transcript.pyannote[1005].start 5654.47221875
transcript.pyannote[1005].end 5655.36659375
transcript.pyannote[1006].speaker SPEAKER_02
transcript.pyannote[1006].start 5656.75034375
transcript.pyannote[1006].end 5657.40846875
transcript.pyannote[1007].speaker SPEAKER_02
transcript.pyannote[1007].start 5658.08346875
transcript.pyannote[1007].end 5658.82596875
transcript.pyannote[1008].speaker SPEAKER_02
transcript.pyannote[1008].start 5659.65284375
transcript.pyannote[1008].end 5660.31096875
transcript.pyannote[1009].speaker SPEAKER_02
transcript.pyannote[1009].start 5660.95221875
transcript.pyannote[1009].end 5661.59346875
transcript.pyannote[1010].speaker SPEAKER_02
transcript.pyannote[1010].start 5662.55534375
transcript.pyannote[1010].end 5663.63534375
transcript.pyannote[1011].speaker SPEAKER_02
transcript.pyannote[1011].start 5664.02346875
transcript.pyannote[1011].end 5664.96846875
transcript.pyannote[1012].speaker SPEAKER_02
transcript.pyannote[1012].start 5668.12409375
transcript.pyannote[1012].end 5669.20409375
transcript.pyannote[1013].speaker SPEAKER_02
transcript.pyannote[1013].start 5671.90409375
transcript.pyannote[1013].end 5674.53659375
transcript.pyannote[1014].speaker SPEAKER_02
transcript.pyannote[1014].start 5676.34221875
transcript.pyannote[1014].end 5677.30409375
transcript.pyannote[1015].speaker SPEAKER_02
transcript.pyannote[1015].start 5678.70471875
transcript.pyannote[1015].end 5679.66659375
transcript.pyannote[1016].speaker SPEAKER_02
transcript.pyannote[1016].start 5681.55659375
transcript.pyannote[1016].end 5682.36659375
transcript.pyannote[1017].speaker SPEAKER_02
transcript.pyannote[1017].start 5683.85159375
transcript.pyannote[1017].end 5689.15034375
transcript.pyannote[1018].speaker SPEAKER_02
transcript.pyannote[1018].start 5690.06159375
transcript.pyannote[1018].end 5692.49159375
transcript.pyannote[1019].speaker SPEAKER_02
transcript.pyannote[1019].start 5693.63909375
transcript.pyannote[1019].end 5695.57971875
transcript.pyannote[1020].speaker SPEAKER_02
transcript.pyannote[1020].start 5696.49096875
transcript.pyannote[1020].end 5697.30096875
transcript.pyannote[1021].speaker SPEAKER_02
transcript.pyannote[1021].start 5697.92534375
transcript.pyannote[1021].end 5700.06846875
transcript.pyannote[1022].speaker SPEAKER_02
transcript.pyannote[1022].start 5700.99659375
transcript.pyannote[1022].end 5703.08909375
transcript.pyannote[1023].speaker SPEAKER_02
transcript.pyannote[1023].start 5703.89909375
transcript.pyannote[1023].end 5705.60346875
transcript.pyannote[1024].speaker SPEAKER_02
transcript.pyannote[1024].start 5706.53159375
transcript.pyannote[1024].end 5707.29096875
transcript.pyannote[1025].speaker SPEAKER_02
transcript.pyannote[1025].start 5708.25284375
transcript.pyannote[1025].end 5709.55221875
transcript.pyannote[1026].speaker SPEAKER_02
transcript.pyannote[1026].start 5710.76721875
transcript.pyannote[1026].end 5711.39159375
transcript.pyannote[1027].speaker SPEAKER_02
transcript.pyannote[1027].start 5712.13409375
transcript.pyannote[1027].end 5714.69909375
transcript.pyannote[1028].speaker SPEAKER_02
transcript.pyannote[1028].start 5714.98596875
transcript.pyannote[1028].end 5716.52159375
transcript.pyannote[1029].speaker SPEAKER_02
transcript.pyannote[1029].start 5717.82096875
transcript.pyannote[1029].end 5719.05284375
transcript.pyannote[1030].speaker SPEAKER_16
transcript.pyannote[1030].start 5721.92159375
transcript.pyannote[1030].end 5722.02284375
transcript.pyannote[1031].speaker SPEAKER_16
transcript.pyannote[1031].start 5722.20846875
transcript.pyannote[1031].end 5724.35159375
transcript.pyannote[1032].speaker SPEAKER_16
transcript.pyannote[1032].start 5724.82409375
transcript.pyannote[1032].end 5728.31721875
transcript.pyannote[1033].speaker SPEAKER_16
transcript.pyannote[1033].start 5729.31284375
transcript.pyannote[1033].end 5739.10034375
transcript.pyannote[1034].speaker SPEAKER_16
transcript.pyannote[1034].start 5739.52221875
transcript.pyannote[1034].end 5745.85034375
transcript.pyannote[1035].speaker SPEAKER_02
transcript.pyannote[1035].start 5746.01909375
transcript.pyannote[1035].end 5748.21284375
transcript.pyannote[1036].speaker SPEAKER_02
transcript.pyannote[1036].start 5748.70221875
transcript.pyannote[1036].end 5751.18284375
transcript.pyannote[1037].speaker SPEAKER_02
transcript.pyannote[1037].start 5755.50284375
transcript.pyannote[1037].end 5756.41409375
transcript.pyannote[1038].speaker SPEAKER_02
transcript.pyannote[1038].start 5756.65034375
transcript.pyannote[1038].end 5758.13534375
transcript.pyannote[1039].speaker SPEAKER_02
transcript.pyannote[1039].start 5760.37971875
transcript.pyannote[1039].end 5762.62409375
transcript.pyannote[1040].speaker SPEAKER_16
transcript.pyannote[1040].start 5764.19346875
transcript.pyannote[1040].end 5773.84596875
transcript.pyannote[1041].speaker SPEAKER_02
transcript.pyannote[1041].start 5771.71971875
transcript.pyannote[1041].end 5772.04034375
transcript.pyannote[1042].speaker SPEAKER_02
transcript.pyannote[1042].start 5773.99784375
transcript.pyannote[1042].end 5779.00971875
transcript.pyannote[1043].speaker SPEAKER_02
transcript.pyannote[1043].start 5779.75221875
transcript.pyannote[1043].end 5783.12721875
transcript.pyannote[1044].speaker SPEAKER_02
transcript.pyannote[1044].start 5783.93721875
transcript.pyannote[1044].end 5784.66284375
transcript.pyannote[1045].speaker SPEAKER_02
transcript.pyannote[1045].start 5784.79784375
transcript.pyannote[1045].end 5787.85221875
transcript.pyannote[1046].speaker SPEAKER_02
transcript.pyannote[1046].start 5788.76346875
transcript.pyannote[1046].end 5793.30284375
transcript.pyannote[1047].speaker SPEAKER_02
transcript.pyannote[1047].start 5793.91034375
transcript.pyannote[1047].end 5795.04096875
transcript.pyannote[1048].speaker SPEAKER_02
transcript.pyannote[1048].start 5795.44596875
transcript.pyannote[1048].end 5798.33159375
transcript.pyannote[1049].speaker SPEAKER_02
transcript.pyannote[1049].start 5798.71971875
transcript.pyannote[1049].end 5799.64784375
transcript.pyannote[1050].speaker SPEAKER_02
transcript.pyannote[1050].start 5799.79971875
transcript.pyannote[1050].end 5800.52534375
transcript.pyannote[1051].speaker SPEAKER_02
transcript.pyannote[1051].start 5801.20034375
transcript.pyannote[1051].end 5801.75721875
transcript.pyannote[1052].speaker SPEAKER_02
transcript.pyannote[1052].start 5803.46159375
transcript.pyannote[1052].end 5804.47409375
transcript.pyannote[1053].speaker SPEAKER_02
transcript.pyannote[1053].start 5805.13221875
transcript.pyannote[1053].end 5809.58721875
transcript.pyannote[1054].speaker SPEAKER_02
transcript.pyannote[1054].start 5810.12721875
transcript.pyannote[1054].end 5811.00471875
transcript.pyannote[1055].speaker SPEAKER_02
transcript.pyannote[1055].start 5812.05096875
transcript.pyannote[1055].end 5814.32909375
transcript.pyannote[1056].speaker SPEAKER_02
transcript.pyannote[1056].start 5814.91971875
transcript.pyannote[1056].end 5815.93221875
transcript.pyannote[1057].speaker SPEAKER_02
transcript.pyannote[1057].start 5816.48909375
transcript.pyannote[1057].end 5818.04159375
transcript.pyannote[1058].speaker SPEAKER_02
transcript.pyannote[1058].start 5818.19346875
transcript.pyannote[1058].end 5819.29034375
transcript.pyannote[1059].speaker SPEAKER_02
transcript.pyannote[1059].start 5819.69534375
transcript.pyannote[1059].end 5821.55159375
transcript.pyannote[1060].speaker SPEAKER_02
transcript.pyannote[1060].start 5821.93971875
transcript.pyannote[1060].end 5826.20909375
transcript.pyannote[1061].speaker SPEAKER_02
transcript.pyannote[1061].start 5826.68159375
transcript.pyannote[1061].end 5828.97659375
transcript.pyannote[1062].speaker SPEAKER_02
transcript.pyannote[1062].start 5829.58409375
transcript.pyannote[1062].end 5831.28846875
transcript.pyannote[1063].speaker SPEAKER_02
transcript.pyannote[1063].start 5832.14909375
transcript.pyannote[1063].end 5833.68471875
transcript.pyannote[1064].speaker SPEAKER_02
transcript.pyannote[1064].start 5833.83659375
transcript.pyannote[1064].end 5834.88284375
transcript.pyannote[1065].speaker SPEAKER_02
transcript.pyannote[1065].start 5835.33846875
transcript.pyannote[1065].end 5837.48159375
transcript.pyannote[1066].speaker SPEAKER_02
transcript.pyannote[1066].start 5837.92034375
transcript.pyannote[1066].end 5839.99596875
transcript.pyannote[1067].speaker SPEAKER_02
transcript.pyannote[1067].start 5840.68784375
transcript.pyannote[1067].end 5843.20221875
transcript.pyannote[1068].speaker SPEAKER_02
transcript.pyannote[1068].start 5843.89409375
transcript.pyannote[1068].end 5850.00284375
transcript.pyannote[1069].speaker SPEAKER_02
transcript.pyannote[1069].start 5850.71159375
transcript.pyannote[1069].end 5856.87096875
transcript.pyannote[1070].speaker SPEAKER_16
transcript.pyannote[1070].start 5856.87096875
transcript.pyannote[1070].end 5858.50784375
transcript.pyannote[1071].speaker SPEAKER_16
transcript.pyannote[1071].start 5858.94659375
transcript.pyannote[1071].end 5860.48221875
transcript.pyannote[1072].speaker SPEAKER_16
transcript.pyannote[1072].start 5860.75221875
transcript.pyannote[1072].end 5868.09284375
transcript.pyannote[1073].speaker SPEAKER_16
transcript.pyannote[1073].start 5868.58221875
transcript.pyannote[1073].end 5874.13409375
transcript.pyannote[1074].speaker SPEAKER_02
transcript.pyannote[1074].start 5873.72909375
transcript.pyannote[1074].end 5876.61471875
transcript.pyannote[1075].speaker SPEAKER_02
transcript.pyannote[1075].start 5876.96909375
transcript.pyannote[1075].end 5882.03159375
transcript.pyannote[1076].speaker SPEAKER_02
transcript.pyannote[1076].start 5882.40284375
transcript.pyannote[1076].end 5888.41034375
transcript.pyannote[1077].speaker SPEAKER_16
transcript.pyannote[1077].start 5888.41034375
transcript.pyannote[1077].end 5888.93346875
transcript.pyannote[1078].speaker SPEAKER_02
transcript.pyannote[1078].start 5888.93346875
transcript.pyannote[1078].end 5889.77721875
transcript.pyannote[1079].speaker SPEAKER_02
transcript.pyannote[1079].start 5890.65471875
transcript.pyannote[1079].end 5903.24346875
transcript.pyannote[1080].speaker SPEAKER_02
transcript.pyannote[1080].start 5903.47971875
transcript.pyannote[1080].end 5913.79034375
transcript.pyannote[1081].speaker SPEAKER_02
transcript.pyannote[1081].start 5914.34721875
transcript.pyannote[1081].end 5915.88284375
transcript.pyannote[1082].speaker SPEAKER_02
transcript.pyannote[1082].start 5916.33846875
transcript.pyannote[1082].end 5927.86409375
transcript.pyannote[1083].speaker SPEAKER_02
transcript.pyannote[1083].start 5928.58971875
transcript.pyannote[1083].end 5938.59659375
transcript.pyannote[1084].speaker SPEAKER_16
transcript.pyannote[1084].start 5938.76534375
transcript.pyannote[1084].end 5943.42284375
transcript.pyannote[1085].speaker SPEAKER_16
transcript.pyannote[1085].start 5943.87846875
transcript.pyannote[1085].end 5948.95784375
transcript.pyannote[1086].speaker SPEAKER_02
transcript.pyannote[1086].start 5948.01284375
transcript.pyannote[1086].end 5948.72159375
transcript.pyannote[1087].speaker SPEAKER_11
transcript.pyannote[1087].start 5948.72159375
transcript.pyannote[1087].end 5958.52596875
transcript.pyannote[1088].speaker SPEAKER_11
transcript.pyannote[1088].start 5958.61034375
transcript.pyannote[1088].end 5964.78659375
transcript.pyannote[1089].speaker SPEAKER_11
transcript.pyannote[1089].start 5965.02284375
transcript.pyannote[1089].end 5981.10471875
transcript.pyannote[1090].speaker SPEAKER_02
transcript.pyannote[1090].start 5980.76721875
transcript.pyannote[1090].end 5984.96909375
transcript.pyannote[1091].speaker SPEAKER_11
transcript.pyannote[1091].start 5985.18846875
transcript.pyannote[1091].end 6000.78096875
transcript.pyannote[1092].speaker SPEAKER_02
transcript.pyannote[1092].start 6000.42659375
transcript.pyannote[1092].end 6001.89471875
transcript.pyannote[1093].speaker SPEAKER_11
transcript.pyannote[1093].start 6001.42221875
transcript.pyannote[1093].end 6002.97471875
transcript.pyannote[1094].speaker SPEAKER_02
transcript.pyannote[1094].start 6002.67096875
transcript.pyannote[1094].end 6004.62846875
transcript.pyannote[1095].speaker SPEAKER_02
transcript.pyannote[1095].start 6005.01659375
transcript.pyannote[1095].end 6007.04159375
transcript.pyannote[1096].speaker SPEAKER_02
transcript.pyannote[1096].start 6007.71659375
transcript.pyannote[1096].end 6009.21846875
transcript.pyannote[1097].speaker SPEAKER_02
transcript.pyannote[1097].start 6009.87659375
transcript.pyannote[1097].end 6010.70346875
transcript.pyannote[1098].speaker SPEAKER_02
transcript.pyannote[1098].start 6011.20971875
transcript.pyannote[1098].end 6012.32346875
transcript.pyannote[1099].speaker SPEAKER_02
transcript.pyannote[1099].start 6012.72846875
transcript.pyannote[1099].end 6015.07409375
transcript.pyannote[1100].speaker SPEAKER_02
transcript.pyannote[1100].start 6015.88409375
transcript.pyannote[1100].end 6016.93034375
transcript.pyannote[1101].speaker SPEAKER_02
transcript.pyannote[1101].start 6017.92596875
transcript.pyannote[1101].end 6026.83596875
transcript.pyannote[1102].speaker SPEAKER_18
transcript.pyannote[1102].start 6027.59534375
transcript.pyannote[1102].end 6028.79346875
transcript.pyannote[1103].speaker SPEAKER_02
transcript.pyannote[1103].start 6028.79346875
transcript.pyannote[1103].end 6033.16409375
transcript.pyannote[1104].speaker SPEAKER_02
transcript.pyannote[1104].start 6034.31159375
transcript.pyannote[1104].end 6037.07909375
transcript.pyannote[1105].speaker SPEAKER_02
transcript.pyannote[1105].start 6038.73284375
transcript.pyannote[1105].end 6041.28096875
transcript.pyannote[1106].speaker SPEAKER_16
transcript.pyannote[1106].start 6041.02784375
transcript.pyannote[1106].end 6041.19659375
transcript.pyannote[1107].speaker SPEAKER_16
transcript.pyannote[1107].start 6041.28096875
transcript.pyannote[1107].end 6041.43284375
transcript.pyannote[1108].speaker SPEAKER_16
transcript.pyannote[1108].start 6041.88846875
transcript.pyannote[1108].end 6047.67659375
transcript.pyannote[1109].speaker SPEAKER_02
transcript.pyannote[1109].start 6047.18721875
transcript.pyannote[1109].end 6050.56221875
transcript.pyannote[1110].speaker SPEAKER_02
transcript.pyannote[1110].start 6050.74784375
transcript.pyannote[1110].end 6056.77221875
transcript.pyannote[1111].speaker SPEAKER_02
transcript.pyannote[1111].start 6057.27846875
transcript.pyannote[1111].end 6071.67284375
transcript.pyannote[1112].speaker SPEAKER_16
transcript.pyannote[1112].start 6072.78659375
transcript.pyannote[1112].end 6073.02284375
transcript.pyannote[1113].speaker SPEAKER_02
transcript.pyannote[1113].start 6073.83284375
transcript.pyannote[1113].end 6074.60909375
transcript.pyannote[1114].speaker SPEAKER_02
transcript.pyannote[1114].start 6075.11534375
transcript.pyannote[1114].end 6077.05596875
transcript.pyannote[1115].speaker SPEAKER_02
transcript.pyannote[1115].start 6077.89971875
transcript.pyannote[1115].end 6078.54096875
transcript.pyannote[1116].speaker SPEAKER_02
transcript.pyannote[1116].start 6079.77284375
transcript.pyannote[1116].end 6084.09284375
transcript.pyannote[1117].speaker SPEAKER_02
transcript.pyannote[1117].start 6084.37971875
transcript.pyannote[1117].end 6096.74909375
transcript.pyannote[1118].speaker SPEAKER_02
transcript.pyannote[1118].start 6097.25534375
transcript.pyannote[1118].end 6100.09034375
transcript.pyannote[1119].speaker SPEAKER_02
transcript.pyannote[1119].start 6100.54596875
transcript.pyannote[1119].end 6102.95909375
transcript.pyannote[1120].speaker SPEAKER_02
transcript.pyannote[1120].start 6104.47784375
transcript.pyannote[1120].end 6105.96284375
transcript.pyannote[1121].speaker SPEAKER_02
transcript.pyannote[1121].start 6106.63784375
transcript.pyannote[1121].end 6107.65034375
transcript.pyannote[1122].speaker SPEAKER_02
transcript.pyannote[1122].start 6108.05534375
transcript.pyannote[1122].end 6109.25346875
transcript.pyannote[1123].speaker SPEAKER_02
transcript.pyannote[1123].start 6110.13096875
transcript.pyannote[1123].end 6110.87346875
transcript.pyannote[1124].speaker SPEAKER_02
transcript.pyannote[1124].start 6111.58221875
transcript.pyannote[1124].end 6112.20659375
transcript.pyannote[1125].speaker SPEAKER_02
transcript.pyannote[1125].start 6112.64534375
transcript.pyannote[1125].end 6117.75846875
transcript.pyannote[1126].speaker SPEAKER_02
transcript.pyannote[1126].start 6118.34909375
transcript.pyannote[1126].end 6120.12096875
transcript.pyannote[1127].speaker SPEAKER_02
transcript.pyannote[1127].start 6120.99846875
transcript.pyannote[1127].end 6128.11971875
transcript.pyannote[1128].speaker SPEAKER_02
transcript.pyannote[1128].start 6128.91284375
transcript.pyannote[1128].end 6135.57846875
transcript.pyannote[1129].speaker SPEAKER_16
transcript.pyannote[1129].start 6138.14346875
transcript.pyannote[1129].end 6141.29909375
transcript.pyannote[1130].speaker SPEAKER_16
transcript.pyannote[1130].start 6141.43409375
transcript.pyannote[1130].end 6145.80471875
transcript.pyannote[1131].speaker SPEAKER_02
transcript.pyannote[1131].start 6145.80471875
transcript.pyannote[1131].end 6147.07034375
transcript.pyannote[1132].speaker SPEAKER_02
transcript.pyannote[1132].start 6147.37409375
transcript.pyannote[1132].end 6149.34846875
transcript.pyannote[1133].speaker SPEAKER_16
transcript.pyannote[1133].start 6149.68596875
transcript.pyannote[1133].end 6159.16971875
transcript.pyannote[1134].speaker SPEAKER_02
transcript.pyannote[1134].start 6158.83221875
transcript.pyannote[1134].end 6162.30846875
transcript.pyannote[1135].speaker SPEAKER_16
transcript.pyannote[1135].start 6163.89471875
transcript.pyannote[1135].end 6165.05909375
transcript.pyannote[1136].speaker SPEAKER_11
transcript.pyannote[1136].start 6165.71721875
transcript.pyannote[1136].end 6165.76784375
transcript.pyannote[1137].speaker SPEAKER_16
transcript.pyannote[1137].start 6165.76784375
transcript.pyannote[1137].end 6165.78471875
transcript.pyannote[1138].speaker SPEAKER_11
transcript.pyannote[1138].start 6165.78471875
transcript.pyannote[1138].end 6177.90096875
transcript.pyannote[1139].speaker SPEAKER_02
transcript.pyannote[1139].start 6177.71534375
transcript.pyannote[1139].end 6177.86721875
transcript.pyannote[1140].speaker SPEAKER_02
transcript.pyannote[1140].start 6177.90096875
transcript.pyannote[1140].end 6181.83284375
transcript.pyannote[1141].speaker SPEAKER_11
transcript.pyannote[1141].start 6180.41534375
transcript.pyannote[1141].end 6185.22471875
transcript.pyannote[1142].speaker SPEAKER_02
transcript.pyannote[1142].start 6182.94659375
transcript.pyannote[1142].end 6183.03096875
transcript.pyannote[1143].speaker SPEAKER_26
transcript.pyannote[1143].start 6183.03096875
transcript.pyannote[1143].end 6183.62159375
transcript.pyannote[1144].speaker SPEAKER_02
transcript.pyannote[1144].start 6183.62159375
transcript.pyannote[1144].end 6183.77346875
transcript.pyannote[1145].speaker SPEAKER_26
transcript.pyannote[1145].start 6183.77346875
transcript.pyannote[1145].end 6186.03471875
transcript.pyannote[1146].speaker SPEAKER_02
transcript.pyannote[1146].start 6186.03471875
transcript.pyannote[1146].end 6186.96284375
transcript.pyannote[1147].speaker SPEAKER_26
transcript.pyannote[1147].start 6186.96284375
transcript.pyannote[1147].end 6187.03034375
transcript.pyannote[1148].speaker SPEAKER_02
transcript.pyannote[1148].start 6187.03034375
transcript.pyannote[1148].end 6187.97534375
transcript.pyannote[1149].speaker SPEAKER_26
transcript.pyannote[1149].start 6187.97534375
transcript.pyannote[1149].end 6188.02596875
transcript.pyannote[1150].speaker SPEAKER_02
transcript.pyannote[1150].start 6188.02596875
transcript.pyannote[1150].end 6188.68409375
transcript.pyannote[1151].speaker SPEAKER_26
transcript.pyannote[1151].start 6188.68409375
transcript.pyannote[1151].end 6189.03846875
transcript.pyannote[1152].speaker SPEAKER_02
transcript.pyannote[1152].start 6189.03846875
transcript.pyannote[1152].end 6198.97784375
transcript.pyannote[1153].speaker SPEAKER_26
transcript.pyannote[1153].start 6198.97784375
transcript.pyannote[1153].end 6200.17596875
transcript.pyannote[1154].speaker SPEAKER_11
transcript.pyannote[1154].start 6200.17596875
transcript.pyannote[1154].end 6201.35721875
transcript.pyannote[1155].speaker SPEAKER_26
transcript.pyannote[1155].start 6201.35721875
transcript.pyannote[1155].end 6203.95596875
transcript.pyannote[1156].speaker SPEAKER_11
transcript.pyannote[1156].start 6202.87596875
transcript.pyannote[1156].end 6206.62221875
transcript.pyannote[1157].speaker SPEAKER_26
transcript.pyannote[1157].start 6206.25096875
transcript.pyannote[1157].end 6209.13659375
transcript.pyannote[1158].speaker SPEAKER_26
transcript.pyannote[1158].start 6209.23784375
transcript.pyannote[1158].end 6214.38471875
transcript.pyannote[1159].speaker SPEAKER_11
transcript.pyannote[1159].start 6213.99659375
transcript.pyannote[1159].end 6217.38846875
transcript.pyannote[1160].speaker SPEAKER_02
transcript.pyannote[1160].start 6217.20284375
transcript.pyannote[1160].end 6224.05409375
transcript.pyannote[1161].speaker SPEAKER_26
transcript.pyannote[1161].start 6217.38846875
transcript.pyannote[1161].end 6217.40534375
transcript.pyannote[1162].speaker SPEAKER_11
transcript.pyannote[1162].start 6224.35784375
transcript.pyannote[1162].end 6228.94784375
transcript.pyannote[1163].speaker SPEAKER_02
transcript.pyannote[1163].start 6228.52596875
transcript.pyannote[1163].end 6230.60159375
transcript.pyannote[1164].speaker SPEAKER_02
transcript.pyannote[1164].start 6230.80409375
transcript.pyannote[1164].end 6245.53596875
transcript.pyannote[1165].speaker SPEAKER_16
transcript.pyannote[1165].start 6239.89971875
transcript.pyannote[1165].end 6241.65471875
transcript.pyannote[1166].speaker SPEAKER_02
transcript.pyannote[1166].start 6245.95784375
transcript.pyannote[1166].end 6248.15159375
transcript.pyannote[1167].speaker SPEAKER_02
transcript.pyannote[1167].start 6249.51846875
transcript.pyannote[1167].end 6251.17221875
transcript.pyannote[1168].speaker SPEAKER_02
transcript.pyannote[1168].start 6251.81346875
transcript.pyannote[1168].end 6252.48846875
transcript.pyannote[1169].speaker SPEAKER_02
transcript.pyannote[1169].start 6253.18034375
transcript.pyannote[1169].end 6253.99034375
transcript.pyannote[1170].speaker SPEAKER_02
transcript.pyannote[1170].start 6254.93534375
transcript.pyannote[1170].end 6256.33596875
transcript.pyannote[1171].speaker SPEAKER_02
transcript.pyannote[1171].start 6256.82534375
transcript.pyannote[1171].end 6263.64284375
transcript.pyannote[1172].speaker SPEAKER_02
transcript.pyannote[1172].start 6264.06471875
transcript.pyannote[1172].end 6269.31284375
transcript.pyannote[1173].speaker SPEAKER_02
transcript.pyannote[1173].start 6269.48159375
transcript.pyannote[1173].end 6270.98346875
transcript.pyannote[1174].speaker SPEAKER_02
transcript.pyannote[1174].start 6272.26596875
transcript.pyannote[1174].end 6274.00409375
transcript.pyannote[1175].speaker SPEAKER_02
transcript.pyannote[1175].start 6274.47659375
transcript.pyannote[1175].end 6275.18534375
transcript.pyannote[1176].speaker SPEAKER_16
transcript.pyannote[1176].start 6276.51846875
transcript.pyannote[1176].end 6279.37034375
transcript.pyannote[1177].speaker SPEAKER_02
transcript.pyannote[1177].start 6279.20159375
transcript.pyannote[1177].end 6283.15034375
transcript.pyannote[1178].speaker SPEAKER_02
transcript.pyannote[1178].start 6283.79159375
transcript.pyannote[1178].end 6293.35971875
transcript.pyannote[1179].speaker SPEAKER_02
transcript.pyannote[1179].start 6293.64659375
transcript.pyannote[1179].end 6294.67596875
transcript.pyannote[1180].speaker SPEAKER_02
transcript.pyannote[1180].start 6295.14846875
transcript.pyannote[1180].end 6309.86346875
transcript.pyannote[1181].speaker SPEAKER_02
transcript.pyannote[1181].start 6310.33596875
transcript.pyannote[1181].end 6312.59721875
transcript.pyannote[1182].speaker SPEAKER_03
transcript.pyannote[1182].start 6313.76159375
transcript.pyannote[1182].end 6317.05221875
transcript.pyannote[1183].speaker SPEAKER_03
transcript.pyannote[1183].start 6317.59221875
transcript.pyannote[1183].end 6320.41034375
transcript.pyannote[1184].speaker SPEAKER_22
transcript.pyannote[1184].start 6341.08221875
transcript.pyannote[1184].end 6347.17409375
transcript.pyannote[1185].speaker SPEAKER_03
transcript.pyannote[1185].start 6347.42721875
transcript.pyannote[1185].end 6348.77721875
transcript.pyannote[1186].speaker SPEAKER_22
transcript.pyannote[1186].start 6348.77721875
transcript.pyannote[1186].end 6348.81096875
transcript.pyannote[1187].speaker SPEAKER_22
transcript.pyannote[1187].start 6353.62034375
transcript.pyannote[1187].end 6356.84346875
transcript.pyannote[1188].speaker SPEAKER_18
transcript.pyannote[1188].start 6356.03346875
transcript.pyannote[1188].end 6356.28659375
transcript.pyannote[1189].speaker SPEAKER_22
transcript.pyannote[1189].start 6357.80534375
transcript.pyannote[1189].end 6358.81784375
transcript.pyannote[1190].speaker SPEAKER_22
transcript.pyannote[1190].start 6359.22284375
transcript.pyannote[1190].end 6360.38721875
transcript.pyannote[1191].speaker SPEAKER_22
transcript.pyannote[1191].start 6360.87659375
transcript.pyannote[1191].end 6375.47346875
transcript.pyannote[1192].speaker SPEAKER_22
transcript.pyannote[1192].start 6375.74346875
transcript.pyannote[1192].end 6378.29159375
transcript.pyannote[1193].speaker SPEAKER_22
transcript.pyannote[1193].start 6379.16909375
transcript.pyannote[1193].end 6400.21221875
transcript.pyannote[1194].speaker SPEAKER_22
transcript.pyannote[1194].start 6400.38096875
transcript.pyannote[1194].end 6415.02846875
transcript.pyannote[1195].speaker SPEAKER_22
transcript.pyannote[1195].start 6415.63596875
transcript.pyannote[1195].end 6425.11971875
transcript.pyannote[1196].speaker SPEAKER_22
transcript.pyannote[1196].start 6425.79471875
transcript.pyannote[1196].end 6431.19471875
transcript.pyannote[1197].speaker SPEAKER_22
transcript.pyannote[1197].start 6431.54909375
transcript.pyannote[1197].end 6439.68284375
transcript.pyannote[1198].speaker SPEAKER_22
transcript.pyannote[1198].start 6440.07096875
transcript.pyannote[1198].end 6444.15471875
transcript.pyannote[1199].speaker SPEAKER_16
transcript.pyannote[1199].start 6444.96471875
transcript.pyannote[1199].end 6445.25159375
transcript.pyannote[1200].speaker SPEAKER_16
transcript.pyannote[1200].start 6445.38659375
transcript.pyannote[1200].end 6445.60596875
transcript.pyannote[1201].speaker SPEAKER_16
transcript.pyannote[1201].start 6446.41596875
transcript.pyannote[1201].end 6446.68596875
transcript.pyannote[1202].speaker SPEAKER_16
transcript.pyannote[1202].start 6447.25971875
transcript.pyannote[1202].end 6447.90096875
transcript.pyannote[1203].speaker SPEAKER_16
transcript.pyannote[1203].start 6448.23846875
transcript.pyannote[1203].end 6450.87096875
transcript.pyannote[1204].speaker SPEAKER_16
transcript.pyannote[1204].start 6451.42784375
transcript.pyannote[1204].end 6454.65096875
transcript.pyannote[1205].speaker SPEAKER_16
transcript.pyannote[1205].start 6454.81971875
transcript.pyannote[1205].end 6458.41409375
transcript.pyannote[1206].speaker SPEAKER_16
transcript.pyannote[1206].start 6458.92034375
transcript.pyannote[1206].end 6459.93284375
transcript.pyannote[1207].speaker SPEAKER_16
transcript.pyannote[1207].start 6460.86096875
transcript.pyannote[1207].end 6463.52721875
transcript.pyannote[1208].speaker SPEAKER_16
transcript.pyannote[1208].start 6463.86471875
transcript.pyannote[1208].end 6466.86846875
transcript.pyannote[1209].speaker SPEAKER_16
transcript.pyannote[1209].start 6467.10471875
transcript.pyannote[1209].end 6468.03284375
transcript.pyannote[1210].speaker SPEAKER_16
transcript.pyannote[1210].start 6468.55596875
transcript.pyannote[1210].end 6470.12534375
transcript.pyannote[1211].speaker SPEAKER_16
transcript.pyannote[1211].start 6470.51346875
transcript.pyannote[1211].end 6471.82971875
transcript.pyannote[1212].speaker SPEAKER_16
transcript.pyannote[1212].start 6472.23471875
transcript.pyannote[1212].end 6472.67346875
transcript.pyannote[1213].speaker SPEAKER_16
transcript.pyannote[1213].start 6472.77471875
transcript.pyannote[1213].end 6474.86721875
transcript.pyannote[1214].speaker SPEAKER_16
transcript.pyannote[1214].start 6475.72784375
transcript.pyannote[1214].end 6479.13659375
transcript.pyannote[1215].speaker SPEAKER_22
transcript.pyannote[1215].start 6479.13659375
transcript.pyannote[1215].end 6505.56284375
transcript.pyannote[1216].speaker SPEAKER_11
transcript.pyannote[1216].start 6505.73159375
transcript.pyannote[1216].end 6525.49221875
transcript.pyannote[1217].speaker SPEAKER_11
transcript.pyannote[1217].start 6525.72846875
transcript.pyannote[1217].end 6547.61534375
transcript.pyannote[1218].speaker SPEAKER_00
transcript.pyannote[1218].start 6534.41909375
transcript.pyannote[1218].end 6534.80721875
transcript.pyannote[1219].speaker SPEAKER_22
transcript.pyannote[1219].start 6546.77159375
transcript.pyannote[1219].end 6547.12596875
transcript.pyannote[1220].speaker SPEAKER_22
transcript.pyannote[1220].start 6547.54784375
transcript.pyannote[1220].end 6582.20909375
transcript.pyannote[1221].speaker SPEAKER_22
transcript.pyannote[1221].start 6582.51284375
transcript.pyannote[1221].end 6608.61846875
transcript.pyannote[1222].speaker SPEAKER_22
transcript.pyannote[1222].start 6609.09096875
transcript.pyannote[1222].end 6609.52971875
transcript.pyannote[1223].speaker SPEAKER_22
transcript.pyannote[1223].start 6609.78284375
transcript.pyannote[1223].end 6618.57471875
transcript.pyannote[1224].speaker SPEAKER_22
transcript.pyannote[1224].start 6618.87846875
transcript.pyannote[1224].end 6629.12159375
transcript.pyannote[1225].speaker SPEAKER_16
transcript.pyannote[1225].start 6629.39159375
transcript.pyannote[1225].end 6630.37034375
transcript.pyannote[1226].speaker SPEAKER_16
transcript.pyannote[1226].start 6630.97784375
transcript.pyannote[1226].end 6635.83784375
transcript.pyannote[1227].speaker SPEAKER_16
transcript.pyannote[1227].start 6635.97284375
transcript.pyannote[1227].end 6637.08659375
transcript.pyannote[1228].speaker SPEAKER_16
transcript.pyannote[1228].start 6637.40721875
transcript.pyannote[1228].end 6646.97534375
transcript.pyannote[1229].speaker SPEAKER_16
transcript.pyannote[1229].start 6647.65034375
transcript.pyannote[1229].end 6652.79721875
transcript.pyannote[1230].speaker SPEAKER_22
transcript.pyannote[1230].start 6650.19846875
transcript.pyannote[1230].end 6684.97784375
transcript.pyannote[1231].speaker SPEAKER_22
transcript.pyannote[1231].start 6685.41659375
transcript.pyannote[1231].end 6693.80346875
transcript.pyannote[1232].speaker SPEAKER_16
transcript.pyannote[1232].start 6694.51221875
transcript.pyannote[1232].end 6695.01846875
transcript.pyannote[1233].speaker SPEAKER_16
transcript.pyannote[1233].start 6695.08596875
transcript.pyannote[1233].end 6695.33909375
transcript.pyannote[1234].speaker SPEAKER_16
transcript.pyannote[1234].start 6695.71034375
transcript.pyannote[1234].end 6698.49471875
transcript.pyannote[1235].speaker SPEAKER_16
transcript.pyannote[1235].start 6698.64659375
transcript.pyannote[1235].end 6699.18659375
transcript.pyannote[1236].speaker SPEAKER_16
transcript.pyannote[1236].start 6699.76034375
transcript.pyannote[1236].end 6703.05096875
transcript.pyannote[1237].speaker SPEAKER_16
transcript.pyannote[1237].start 6703.86096875
transcript.pyannote[1237].end 6707.10096875
transcript.pyannote[1238].speaker SPEAKER_16
transcript.pyannote[1238].start 6707.94471875
transcript.pyannote[1238].end 6712.65284375
transcript.pyannote[1239].speaker SPEAKER_16
transcript.pyannote[1239].start 6713.20971875
transcript.pyannote[1239].end 6714.86346875
transcript.pyannote[1240].speaker SPEAKER_16
transcript.pyannote[1240].start 6715.15034375
transcript.pyannote[1240].end 6716.02784375
transcript.pyannote[1241].speaker SPEAKER_16
transcript.pyannote[1241].start 6716.88846875
transcript.pyannote[1241].end 6719.06534375
transcript.pyannote[1242].speaker SPEAKER_16
transcript.pyannote[1242].start 6719.40284375
transcript.pyannote[1242].end 6719.50409375
transcript.pyannote[1243].speaker SPEAKER_16
transcript.pyannote[1243].start 6719.74034375
transcript.pyannote[1243].end 6720.55034375
transcript.pyannote[1244].speaker SPEAKER_16
transcript.pyannote[1244].start 6720.93846875
transcript.pyannote[1244].end 6724.38096875
transcript.pyannote[1245].speaker SPEAKER_16
transcript.pyannote[1245].start 6724.93784375
transcript.pyannote[1245].end 6726.65909375
transcript.pyannote[1246].speaker SPEAKER_16
transcript.pyannote[1246].start 6727.16534375
transcript.pyannote[1246].end 6731.46846875
transcript.pyannote[1247].speaker SPEAKER_22
transcript.pyannote[1247].start 6731.16471875
transcript.pyannote[1247].end 6765.79221875
transcript.pyannote[1248].speaker SPEAKER_16
transcript.pyannote[1248].start 6766.55159375
transcript.pyannote[1248].end 6767.14221875
transcript.pyannote[1249].speaker SPEAKER_16
transcript.pyannote[1249].start 6767.32784375
transcript.pyannote[1249].end 6775.19159375
transcript.pyannote[1250].speaker SPEAKER_11
transcript.pyannote[1250].start 6775.19159375
transcript.pyannote[1250].end 6775.27596875
transcript.pyannote[1251].speaker SPEAKER_11
transcript.pyannote[1251].start 6775.30971875
transcript.pyannote[1251].end 6801.68534375
transcript.pyannote[1252].speaker SPEAKER_11
transcript.pyannote[1252].start 6801.95534375
transcript.pyannote[1252].end 6826.08659375
transcript.pyannote[1253].speaker SPEAKER_22
transcript.pyannote[1253].start 6823.36971875
transcript.pyannote[1253].end 6823.87596875
transcript.pyannote[1254].speaker SPEAKER_22
transcript.pyannote[1254].start 6824.61846875
transcript.pyannote[1254].end 6883.15784375
transcript.pyannote[1255].speaker SPEAKER_16
transcript.pyannote[1255].start 6884.52471875
transcript.pyannote[1255].end 6884.86221875
transcript.pyannote[1256].speaker SPEAKER_16
transcript.pyannote[1256].start 6886.09409375
transcript.pyannote[1256].end 6896.16846875
transcript.pyannote[1257].speaker SPEAKER_16
transcript.pyannote[1257].start 6897.31596875
transcript.pyannote[1257].end 6901.68659375
transcript.pyannote[1258].speaker SPEAKER_16
transcript.pyannote[1258].start 6902.29409375
transcript.pyannote[1258].end 6905.71971875
transcript.pyannote[1259].speaker SPEAKER_16
transcript.pyannote[1259].start 6906.12471875
transcript.pyannote[1259].end 6908.65596875
transcript.pyannote[1260].speaker SPEAKER_16
transcript.pyannote[1260].start 6909.04409375
transcript.pyannote[1260].end 6909.41534375
transcript.pyannote[1261].speaker SPEAKER_16
transcript.pyannote[1261].start 6909.61784375
transcript.pyannote[1261].end 6914.79846875
transcript.pyannote[1262].speaker SPEAKER_16
transcript.pyannote[1262].start 6915.15284375
transcript.pyannote[1262].end 6918.02159375
transcript.pyannote[1263].speaker SPEAKER_16
transcript.pyannote[1263].start 6918.34221875
transcript.pyannote[1263].end 6918.66284375
transcript.pyannote[1264].speaker SPEAKER_16
transcript.pyannote[1264].start 6919.23659375
transcript.pyannote[1264].end 6926.79659375
transcript.pyannote[1265].speaker SPEAKER_16
transcript.pyannote[1265].start 6926.96534375
transcript.pyannote[1265].end 6929.15909375
transcript.pyannote[1266].speaker SPEAKER_22
transcript.pyannote[1266].start 6929.15909375
transcript.pyannote[1266].end 6940.61721875
transcript.pyannote[1267].speaker SPEAKER_25
transcript.pyannote[1267].start 6940.88721875
transcript.pyannote[1267].end 6965.92971875
transcript.pyannote[1268].speaker SPEAKER_22
transcript.pyannote[1268].start 6965.92971875
transcript.pyannote[1268].end 6965.96346875
transcript.pyannote[1269].speaker SPEAKER_22
transcript.pyannote[1269].start 6967.07721875
transcript.pyannote[1269].end 6967.36409375
transcript.pyannote[1270].speaker SPEAKER_22
transcript.pyannote[1270].start 6967.76909375
transcript.pyannote[1270].end 7009.02846875
transcript.pyannote[1271].speaker SPEAKER_03
transcript.pyannote[1271].start 7009.02846875
transcript.pyannote[1271].end 7009.33221875
transcript.pyannote[1272].speaker SPEAKER_22
transcript.pyannote[1272].start 7009.33221875
transcript.pyannote[1272].end 7009.97346875
transcript.pyannote[1273].speaker SPEAKER_03
transcript.pyannote[1273].start 7009.97346875
transcript.pyannote[1273].end 7018.22534375
transcript.pyannote[1274].speaker SPEAKER_03
transcript.pyannote[1274].start 7018.64721875
transcript.pyannote[1274].end 7025.58284375
transcript.pyannote[1275].speaker SPEAKER_14
transcript.pyannote[1275].start 7032.97409375
transcript.pyannote[1275].end 7033.24409375
transcript.pyannote[1276].speaker SPEAKER_14
transcript.pyannote[1276].start 7033.69971875
transcript.pyannote[1276].end 7035.06659375
transcript.pyannote[1277].speaker SPEAKER_03
transcript.pyannote[1277].start 7036.29846875
transcript.pyannote[1277].end 7038.15471875
transcript.pyannote[1278].speaker SPEAKER_14
transcript.pyannote[1278].start 7040.95596875
transcript.pyannote[1278].end 7056.98721875
transcript.pyannote[1279].speaker SPEAKER_26
transcript.pyannote[1279].start 7060.32846875
transcript.pyannote[1279].end 7060.88534375
transcript.pyannote[1280].speaker SPEAKER_16
transcript.pyannote[1280].start 7060.88534375
transcript.pyannote[1280].end 7060.91909375
transcript.pyannote[1281].speaker SPEAKER_26
transcript.pyannote[1281].start 7061.50971875
transcript.pyannote[1281].end 7061.79659375
transcript.pyannote[1282].speaker SPEAKER_16
transcript.pyannote[1282].start 7062.40409375
transcript.pyannote[1282].end 7063.41659375
transcript.pyannote[1283].speaker SPEAKER_16
transcript.pyannote[1283].start 7064.63159375
transcript.pyannote[1283].end 7065.07034375
transcript.pyannote[1284].speaker SPEAKER_16
transcript.pyannote[1284].start 7065.50909375
transcript.pyannote[1284].end 7067.38221875
transcript.pyannote[1285].speaker SPEAKER_16
transcript.pyannote[1285].start 7068.71534375
transcript.pyannote[1285].end 7072.17471875
transcript.pyannote[1286].speaker SPEAKER_14
transcript.pyannote[1286].start 7072.10721875
transcript.pyannote[1286].end 7090.19721875
transcript.pyannote[1287].speaker SPEAKER_14
transcript.pyannote[1287].start 7090.60221875
transcript.pyannote[1287].end 7093.77471875
transcript.pyannote[1288].speaker SPEAKER_14
transcript.pyannote[1288].start 7094.11221875
transcript.pyannote[1288].end 7096.20471875
transcript.pyannote[1289].speaker SPEAKER_14
transcript.pyannote[1289].start 7096.59284375
transcript.pyannote[1289].end 7139.03346875
transcript.pyannote[1290].speaker SPEAKER_16
transcript.pyannote[1290].start 7139.92784375
transcript.pyannote[1290].end 7141.29471875
transcript.pyannote[1291].speaker SPEAKER_14
transcript.pyannote[1291].start 7141.48034375
transcript.pyannote[1291].end 7144.51784375
transcript.pyannote[1292].speaker SPEAKER_14
transcript.pyannote[1292].start 7144.78784375
transcript.pyannote[1292].end 7170.96096875
transcript.pyannote[1293].speaker SPEAKER_14
transcript.pyannote[1293].start 7171.60221875
transcript.pyannote[1293].end 7211.22471875
transcript.pyannote[1294].speaker SPEAKER_14
transcript.pyannote[1294].start 7211.49471875
transcript.pyannote[1294].end 7224.97784375
transcript.pyannote[1295].speaker SPEAKER_14
transcript.pyannote[1295].start 7226.32784375
transcript.pyannote[1295].end 7252.93971875
transcript.pyannote[1296].speaker SPEAKER_14
transcript.pyannote[1296].start 7253.04096875
transcript.pyannote[1296].end 7278.75846875
transcript.pyannote[1297].speaker SPEAKER_14
transcript.pyannote[1297].start 7279.18034375
transcript.pyannote[1297].end 7288.42784375
transcript.pyannote[1298].speaker SPEAKER_14
transcript.pyannote[1298].start 7288.52909375
transcript.pyannote[1298].end 7292.34284375
transcript.pyannote[1299].speaker SPEAKER_14
transcript.pyannote[1299].start 7293.08534375
transcript.pyannote[1299].end 7339.00221875
transcript.pyannote[1300].speaker SPEAKER_14
transcript.pyannote[1300].start 7339.10346875
transcript.pyannote[1300].end 7342.15784375
transcript.pyannote[1301].speaker SPEAKER_14
transcript.pyannote[1301].start 7343.18721875
transcript.pyannote[1301].end 7355.74221875
transcript.pyannote[1302].speaker SPEAKER_14
transcript.pyannote[1302].start 7356.13034375
transcript.pyannote[1302].end 7371.85784375
transcript.pyannote[1303].speaker SPEAKER_14
transcript.pyannote[1303].start 7372.48221875
transcript.pyannote[1303].end 7373.69721875
transcript.pyannote[1304].speaker SPEAKER_14
transcript.pyannote[1304].start 7374.20346875
transcript.pyannote[1304].end 7375.33409375
transcript.pyannote[1305].speaker SPEAKER_14
transcript.pyannote[1305].start 7376.78534375
transcript.pyannote[1305].end 7378.82721875
transcript.pyannote[1306].speaker SPEAKER_18
transcript.pyannote[1306].start 7378.59096875
transcript.pyannote[1306].end 7378.84409375
transcript.pyannote[1307].speaker SPEAKER_14
transcript.pyannote[1307].start 7378.84409375
transcript.pyannote[1307].end 7382.25284375
transcript.pyannote[1308].speaker SPEAKER_18
transcript.pyannote[1308].start 7382.23596875
transcript.pyannote[1308].end 7382.67471875
transcript.pyannote[1309].speaker SPEAKER_14
transcript.pyannote[1309].start 7382.62409375
transcript.pyannote[1309].end 7382.64096875
transcript.pyannote[1310].speaker SPEAKER_14
transcript.pyannote[1310].start 7382.65784375
transcript.pyannote[1310].end 7383.83909375
transcript.pyannote[1311].speaker SPEAKER_14
transcript.pyannote[1311].start 7384.68284375
transcript.pyannote[1311].end 7402.31721875
transcript.pyannote[1312].speaker SPEAKER_14
transcript.pyannote[1312].start 7402.72221875
transcript.pyannote[1312].end 7408.29096875
transcript.pyannote[1313].speaker SPEAKER_14
transcript.pyannote[1313].start 7408.57784375
transcript.pyannote[1313].end 7411.75034375
transcript.pyannote[1314].speaker SPEAKER_14
transcript.pyannote[1314].start 7412.08784375
transcript.pyannote[1314].end 7416.99846875
transcript.pyannote[1315].speaker SPEAKER_14
transcript.pyannote[1315].start 7417.77471875
transcript.pyannote[1315].end 7436.37096875
transcript.pyannote[1316].speaker SPEAKER_14
transcript.pyannote[1316].start 7436.59034375
transcript.pyannote[1316].end 7445.80409375
transcript.pyannote[1317].speaker SPEAKER_14
transcript.pyannote[1317].start 7446.05721875
transcript.pyannote[1317].end 7447.57596875
transcript.pyannote[1318].speaker SPEAKER_14
transcript.pyannote[1318].start 7447.96409375
transcript.pyannote[1318].end 7449.19596875
transcript.pyannote[1319].speaker SPEAKER_14
transcript.pyannote[1319].start 7449.46596875
transcript.pyannote[1319].end 7452.06471875
transcript.pyannote[1320].speaker SPEAKER_14
transcript.pyannote[1320].start 7453.19534375
transcript.pyannote[1320].end 7454.76471875
transcript.pyannote[1321].speaker SPEAKER_14
transcript.pyannote[1321].start 7455.28784375
transcript.pyannote[1321].end 7466.49284375
transcript.pyannote[1322].speaker SPEAKER_16
transcript.pyannote[1322].start 7466.84721875
transcript.pyannote[1322].end 7470.15471875
transcript.pyannote[1323].speaker SPEAKER_16
transcript.pyannote[1323].start 7470.20534375
transcript.pyannote[1323].end 7470.79596875
transcript.pyannote[1324].speaker SPEAKER_11
transcript.pyannote[1324].start 7470.52596875
transcript.pyannote[1324].end 7470.54284375
transcript.pyannote[1325].speaker SPEAKER_14
transcript.pyannote[1325].start 7470.54284375
transcript.pyannote[1325].end 7470.57659375
transcript.pyannote[1326].speaker SPEAKER_11
transcript.pyannote[1326].start 7470.57659375
transcript.pyannote[1326].end 7470.61034375
transcript.pyannote[1327].speaker SPEAKER_14
transcript.pyannote[1327].start 7470.61034375
transcript.pyannote[1327].end 7470.96471875
transcript.pyannote[1328].speaker SPEAKER_11
transcript.pyannote[1328].start 7470.96471875
transcript.pyannote[1328].end 7471.03221875
transcript.pyannote[1329].speaker SPEAKER_14
transcript.pyannote[1329].start 7471.03221875
transcript.pyannote[1329].end 7471.97721875
transcript.pyannote[1330].speaker SPEAKER_11
transcript.pyannote[1330].start 7471.97721875
transcript.pyannote[1330].end 7472.02784375
transcript.pyannote[1331].speaker SPEAKER_14
transcript.pyannote[1331].start 7472.02784375
transcript.pyannote[1331].end 7472.97284375
transcript.pyannote[1332].speaker SPEAKER_11
transcript.pyannote[1332].start 7472.97284375
transcript.pyannote[1332].end 7473.02346875
transcript.pyannote[1333].speaker SPEAKER_14
transcript.pyannote[1333].start 7473.02346875
transcript.pyannote[1333].end 7473.96846875
transcript.pyannote[1334].speaker SPEAKER_11
transcript.pyannote[1334].start 7473.96846875
transcript.pyannote[1334].end 7474.03596875
transcript.pyannote[1335].speaker SPEAKER_14
transcript.pyannote[1335].start 7474.03596875
transcript.pyannote[1335].end 7482.50721875
transcript.pyannote[1336].speaker SPEAKER_14
transcript.pyannote[1336].start 7483.36784375
transcript.pyannote[1336].end 7501.50846875
transcript.pyannote[1337].speaker SPEAKER_14
transcript.pyannote[1337].start 7501.74471875
transcript.pyannote[1337].end 7502.50409375
transcript.pyannote[1338].speaker SPEAKER_14
transcript.pyannote[1338].start 7502.90909375
transcript.pyannote[1338].end 7506.25034375
transcript.pyannote[1339].speaker SPEAKER_14
transcript.pyannote[1339].start 7506.75659375
transcript.pyannote[1339].end 7524.10409375
transcript.pyannote[1340].speaker SPEAKER_14
transcript.pyannote[1340].start 7524.81284375
transcript.pyannote[1340].end 7526.31471875
transcript.pyannote[1341].speaker SPEAKER_14
transcript.pyannote[1341].start 7526.82096875
transcript.pyannote[1341].end 7569.53159375
transcript.pyannote[1342].speaker SPEAKER_14
transcript.pyannote[1342].start 7570.47659375
transcript.pyannote[1342].end 7600.80096875
transcript.pyannote[1343].speaker SPEAKER_14
transcript.pyannote[1343].start 7601.64471875
transcript.pyannote[1343].end 7602.13409375
transcript.pyannote[1344].speaker SPEAKER_14
transcript.pyannote[1344].start 7602.84284375
transcript.pyannote[1344].end 7608.27659375
transcript.pyannote[1345].speaker SPEAKER_14
transcript.pyannote[1345].start 7609.28909375
transcript.pyannote[1345].end 7612.47846875
transcript.pyannote[1346].speaker SPEAKER_14
transcript.pyannote[1346].start 7613.64284375
transcript.pyannote[1346].end 7621.11846875
transcript.pyannote[1347].speaker SPEAKER_14
transcript.pyannote[1347].start 7621.57409375
transcript.pyannote[1347].end 7627.07534375
transcript.pyannote[1348].speaker SPEAKER_14
transcript.pyannote[1348].start 7627.63221875
transcript.pyannote[1348].end 7629.99471875
transcript.pyannote[1349].speaker SPEAKER_14
transcript.pyannote[1349].start 7630.65284375
transcript.pyannote[1349].end 7634.50034375
transcript.pyannote[1350].speaker SPEAKER_14
transcript.pyannote[1350].start 7635.34409375
transcript.pyannote[1350].end 7639.14096875
transcript.pyannote[1351].speaker SPEAKER_14
transcript.pyannote[1351].start 7639.59659375
transcript.pyannote[1351].end 7648.60784375
transcript.pyannote[1352].speaker SPEAKER_14
transcript.pyannote[1352].start 7649.53596875
transcript.pyannote[1352].end 7652.59034375
transcript.pyannote[1353].speaker SPEAKER_16
transcript.pyannote[1353].start 7654.32846875
transcript.pyannote[1353].end 7658.44596875
transcript.pyannote[1354].speaker SPEAKER_14
transcript.pyannote[1354].start 7658.12534375
transcript.pyannote[1354].end 7659.66096875
transcript.pyannote[1355].speaker SPEAKER_14
transcript.pyannote[1355].start 7661.46659375
transcript.pyannote[1355].end 7667.45721875
transcript.pyannote[1356].speaker SPEAKER_14
transcript.pyannote[1356].start 7667.96346875
transcript.pyannote[1356].end 7668.52034375
transcript.pyannote[1357].speaker SPEAKER_14
transcript.pyannote[1357].start 7669.53284375
transcript.pyannote[1357].end 7670.96721875
transcript.pyannote[1358].speaker SPEAKER_09
transcript.pyannote[1358].start 7670.96721875
transcript.pyannote[1358].end 7686.20534375
transcript.pyannote[1359].speaker SPEAKER_14
transcript.pyannote[1359].start 7681.34534375
transcript.pyannote[1359].end 7682.72909375
transcript.pyannote[1360].speaker SPEAKER_14
transcript.pyannote[1360].start 7683.10034375
transcript.pyannote[1360].end 7718.26784375
transcript.pyannote[1361].speaker SPEAKER_00
transcript.pyannote[1361].start 7690.67721875
transcript.pyannote[1361].end 7691.08221875
transcript.pyannote[1362].speaker SPEAKER_00
transcript.pyannote[1362].start 7691.13284375
transcript.pyannote[1362].end 7691.25096875
transcript.pyannote[1363].speaker SPEAKER_09
transcript.pyannote[1363].start 7691.25096875
transcript.pyannote[1363].end 7691.65596875
transcript.pyannote[1364].speaker SPEAKER_00
transcript.pyannote[1364].start 7691.65596875
transcript.pyannote[1364].end 7691.74034375
transcript.pyannote[1365].speaker SPEAKER_14
transcript.pyannote[1365].start 7718.53784375
transcript.pyannote[1365].end 7732.40909375
transcript.pyannote[1366].speaker SPEAKER_11
transcript.pyannote[1366].start 7732.98284375
transcript.pyannote[1366].end 7742.34846875
transcript.pyannote[1367].speaker SPEAKER_14
transcript.pyannote[1367].start 7735.04159375
transcript.pyannote[1367].end 7735.61534375
transcript.pyannote[1368].speaker SPEAKER_14
transcript.pyannote[1368].start 7737.47159375
transcript.pyannote[1368].end 7738.11284375
transcript.pyannote[1369].speaker SPEAKER_14
transcript.pyannote[1369].start 7738.26471875
transcript.pyannote[1369].end 7739.53034375
transcript.pyannote[1370].speaker SPEAKER_14
transcript.pyannote[1370].start 7741.72409375
transcript.pyannote[1370].end 7756.59096875
transcript.pyannote[1371].speaker SPEAKER_14
transcript.pyannote[1371].start 7757.19846875
transcript.pyannote[1371].end 7760.03346875
transcript.pyannote[1372].speaker SPEAKER_14
transcript.pyannote[1372].start 7761.68721875
transcript.pyannote[1372].end 7762.61534375
transcript.pyannote[1373].speaker SPEAKER_25
transcript.pyannote[1373].start 7763.10471875
transcript.pyannote[1373].end 7766.56409375
transcript.pyannote[1374].speaker SPEAKER_14
transcript.pyannote[1374].start 7764.26909375
transcript.pyannote[1374].end 7764.47159375
transcript.pyannote[1375].speaker SPEAKER_14
transcript.pyannote[1375].start 7766.56409375
transcript.pyannote[1375].end 7773.17909375
transcript.pyannote[1376].speaker SPEAKER_25
transcript.pyannote[1376].start 7774.17471875
transcript.pyannote[1376].end 7776.46971875
transcript.pyannote[1377].speaker SPEAKER_14
transcript.pyannote[1377].start 7776.28409375
transcript.pyannote[1377].end 7779.15284375
transcript.pyannote[1378].speaker SPEAKER_25
transcript.pyannote[1378].start 7779.15284375
transcript.pyannote[1378].end 7779.52409375
transcript.pyannote[1379].speaker SPEAKER_14
transcript.pyannote[1379].start 7779.52409375
transcript.pyannote[1379].end 7791.75846875
transcript.pyannote[1380].speaker SPEAKER_03
transcript.pyannote[1380].start 7791.50534375
transcript.pyannote[1380].end 7795.03221875
transcript.pyannote[1381].speaker SPEAKER_03
transcript.pyannote[1381].start 7796.26409375
transcript.pyannote[1381].end 7797.61409375
transcript.pyannote[1382].speaker SPEAKER_14
transcript.pyannote[1382].start 7808.09346875
transcript.pyannote[1382].end 7808.85284375
transcript.pyannote[1383].speaker SPEAKER_14
transcript.pyannote[1383].start 7808.86971875
transcript.pyannote[1383].end 7808.95409375
transcript.pyannote[1384].speaker SPEAKER_14
transcript.pyannote[1384].start 7808.97096875
transcript.pyannote[1384].end 7808.98784375
transcript.pyannote[1385].speaker SPEAKER_14
transcript.pyannote[1385].start 7809.40971875
transcript.pyannote[1385].end 7817.62784375
transcript.pyannote[1386].speaker SPEAKER_18
transcript.pyannote[1386].start 7816.63221875
transcript.pyannote[1386].end 7816.64909375
transcript.pyannote[1387].speaker SPEAKER_01
transcript.pyannote[1387].start 7816.64909375
transcript.pyannote[1387].end 7821.86346875
transcript.pyannote[1388].speaker SPEAKER_14
transcript.pyannote[1388].start 7817.71221875
transcript.pyannote[1388].end 7817.74596875
transcript.pyannote[1389].speaker SPEAKER_14
transcript.pyannote[1389].start 7817.77971875
transcript.pyannote[1389].end 7817.79659375
transcript.pyannote[1390].speaker SPEAKER_14
transcript.pyannote[1390].start 7818.23534375
transcript.pyannote[1390].end 7818.85971875
transcript.pyannote[1391].speaker SPEAKER_14
transcript.pyannote[1391].start 7818.94409375
transcript.pyannote[1391].end 7819.51784375
transcript.pyannote[1392].speaker SPEAKER_22
transcript.pyannote[1392].start 7819.51784375
transcript.pyannote[1392].end 7819.55159375
transcript.pyannote[1393].speaker SPEAKER_14
transcript.pyannote[1393].start 7819.55159375
transcript.pyannote[1393].end 7819.75409375
transcript.pyannote[1394].speaker SPEAKER_22
transcript.pyannote[1394].start 7820.32784375
transcript.pyannote[1394].end 7820.96909375
transcript.pyannote[1395].speaker SPEAKER_13
transcript.pyannote[1395].start 7820.96909375
transcript.pyannote[1395].end 7821.12096875
transcript.pyannote[1396].speaker SPEAKER_09
transcript.pyannote[1396].start 7821.12096875
transcript.pyannote[1396].end 7821.45846875
transcript.pyannote[1397].speaker SPEAKER_00
transcript.pyannote[1397].start 7821.45846875
transcript.pyannote[1397].end 7821.57659375
transcript.pyannote[1398].speaker SPEAKER_03
transcript.pyannote[1398].start 8852.72346875
transcript.pyannote[1398].end 8854.02284375
transcript.pyannote[1399].speaker SPEAKER_03
transcript.pyannote[1399].start 8854.17471875
transcript.pyannote[1399].end 8855.10284375
transcript.pyannote[1400].speaker SPEAKER_03
transcript.pyannote[1400].start 8855.52471875
transcript.pyannote[1400].end 8857.87034375
transcript.pyannote[1401].speaker SPEAKER_10
transcript.pyannote[1401].start 8866.71284375
transcript.pyannote[1401].end 8868.36659375
transcript.pyannote[1402].speaker SPEAKER_03
transcript.pyannote[1402].start 8869.31159375
transcript.pyannote[1402].end 8870.69534375
transcript.pyannote[1403].speaker SPEAKER_03
transcript.pyannote[1403].start 8873.98596875
transcript.pyannote[1403].end 8874.66096875
transcript.pyannote[1404].speaker SPEAKER_16
transcript.pyannote[1404].start 8874.66096875
transcript.pyannote[1404].end 8874.69471875
transcript.pyannote[1405].speaker SPEAKER_10
transcript.pyannote[1405].start 8875.84221875
transcript.pyannote[1405].end 8881.20846875
transcript.pyannote[1406].speaker SPEAKER_10
transcript.pyannote[1406].start 8881.57971875
transcript.pyannote[1406].end 8902.13346875
transcript.pyannote[1407].speaker SPEAKER_10
transcript.pyannote[1407].start 8902.92659375
transcript.pyannote[1407].end 8906.84159375
transcript.pyannote[1408].speaker SPEAKER_16
transcript.pyannote[1408].start 8907.14534375
transcript.pyannote[1408].end 8915.86971875
transcript.pyannote[1409].speaker SPEAKER_10
transcript.pyannote[1409].start 8910.92534375
transcript.pyannote[1409].end 8912.71409375
transcript.pyannote[1410].speaker SPEAKER_10
transcript.pyannote[1410].start 8915.56596875
transcript.pyannote[1410].end 8925.65721875
transcript.pyannote[1411].speaker SPEAKER_10
transcript.pyannote[1411].start 8925.92721875
transcript.pyannote[1411].end 8944.03409375
transcript.pyannote[1412].speaker SPEAKER_10
transcript.pyannote[1412].start 8944.37159375
transcript.pyannote[1412].end 8964.11534375
transcript.pyannote[1413].speaker SPEAKER_10
transcript.pyannote[1413].start 8964.60471875
transcript.pyannote[1413].end 8967.03471875
transcript.pyannote[1414].speaker SPEAKER_10
transcript.pyannote[1414].start 8967.76034375
transcript.pyannote[1414].end 8968.73909375
transcript.pyannote[1415].speaker SPEAKER_10
transcript.pyannote[1415].start 8969.21159375
transcript.pyannote[1415].end 9003.41721875
transcript.pyannote[1416].speaker SPEAKER_10
transcript.pyannote[1416].start 9004.41284375
transcript.pyannote[1416].end 9008.44596875
transcript.pyannote[1417].speaker SPEAKER_10
transcript.pyannote[1417].start 9009.20534375
transcript.pyannote[1417].end 9016.59659375
transcript.pyannote[1418].speaker SPEAKER_10
transcript.pyannote[1418].start 9016.90034375
transcript.pyannote[1418].end 9023.48159375
transcript.pyannote[1419].speaker SPEAKER_10
transcript.pyannote[1419].start 9023.71784375
transcript.pyannote[1419].end 9026.16471875
transcript.pyannote[1420].speaker SPEAKER_16
transcript.pyannote[1420].start 9027.66659375
transcript.pyannote[1420].end 9032.20596875
transcript.pyannote[1421].speaker SPEAKER_10
transcript.pyannote[1421].start 9028.25721875
transcript.pyannote[1421].end 9029.48909375
transcript.pyannote[1422].speaker SPEAKER_10
transcript.pyannote[1422].start 9032.20596875
transcript.pyannote[1422].end 9042.07784375
transcript.pyannote[1423].speaker SPEAKER_10
transcript.pyannote[1423].start 9042.88784375
transcript.pyannote[1423].end 9062.59784375
transcript.pyannote[1424].speaker SPEAKER_10
transcript.pyannote[1424].start 9062.66534375
transcript.pyannote[1424].end 9063.32346875
transcript.pyannote[1425].speaker SPEAKER_10
transcript.pyannote[1425].start 9064.26846875
transcript.pyannote[1425].end 9072.38534375
transcript.pyannote[1426].speaker SPEAKER_10
transcript.pyannote[1426].start 9072.92534375
transcript.pyannote[1426].end 9074.12346875
transcript.pyannote[1427].speaker SPEAKER_16
transcript.pyannote[1427].start 9075.13596875
transcript.pyannote[1427].end 9075.70971875
transcript.pyannote[1428].speaker SPEAKER_10
transcript.pyannote[1428].start 9075.70971875
transcript.pyannote[1428].end 9077.61659375
transcript.pyannote[1429].speaker SPEAKER_16
transcript.pyannote[1429].start 9077.61659375
transcript.pyannote[1429].end 9079.81034375
transcript.pyannote[1430].speaker SPEAKER_16
transcript.pyannote[1430].start 9080.68784375
transcript.pyannote[1430].end 9085.46346875
transcript.pyannote[1431].speaker SPEAKER_10
transcript.pyannote[1431].start 9084.31596875
transcript.pyannote[1431].end 9117.03659375
transcript.pyannote[1432].speaker SPEAKER_10
transcript.pyannote[1432].start 9117.35721875
transcript.pyannote[1432].end 9119.56784375
transcript.pyannote[1433].speaker SPEAKER_10
transcript.pyannote[1433].start 9120.09096875
transcript.pyannote[1433].end 9136.66221875
transcript.pyannote[1434].speaker SPEAKER_10
transcript.pyannote[1434].start 9136.83096875
transcript.pyannote[1434].end 9141.60659375
transcript.pyannote[1435].speaker SPEAKER_10
transcript.pyannote[1435].start 9142.09596875
transcript.pyannote[1435].end 9198.72846875
transcript.pyannote[1436].speaker SPEAKER_10
transcript.pyannote[1436].start 9199.13346875
transcript.pyannote[1436].end 9215.11409375
transcript.pyannote[1437].speaker SPEAKER_10
transcript.pyannote[1437].start 9215.82284375
transcript.pyannote[1437].end 9216.21096875
transcript.pyannote[1438].speaker SPEAKER_10
transcript.pyannote[1438].start 9216.73409375
transcript.pyannote[1438].end 9219.68721875
transcript.pyannote[1439].speaker SPEAKER_10
transcript.pyannote[1439].start 9220.31159375
transcript.pyannote[1439].end 9222.16784375
transcript.pyannote[1440].speaker SPEAKER_10
transcript.pyannote[1440].start 9222.45471875
transcript.pyannote[1440].end 9236.00534375
transcript.pyannote[1441].speaker SPEAKER_10
transcript.pyannote[1441].start 9236.51159375
transcript.pyannote[1441].end 9238.50284375
transcript.pyannote[1442].speaker SPEAKER_10
transcript.pyannote[1442].start 9238.65471875
transcript.pyannote[1442].end 9260.08596875
transcript.pyannote[1443].speaker SPEAKER_10
transcript.pyannote[1443].start 9260.18721875
transcript.pyannote[1443].end 9263.79846875
transcript.pyannote[1444].speaker SPEAKER_10
transcript.pyannote[1444].start 9264.22034375
transcript.pyannote[1444].end 9268.67534375
transcript.pyannote[1445].speaker SPEAKER_16
transcript.pyannote[1445].start 9269.18159375
transcript.pyannote[1445].end 9272.59034375
transcript.pyannote[1446].speaker SPEAKER_10
transcript.pyannote[1446].start 9272.47221875
transcript.pyannote[1446].end 9272.77596875
transcript.pyannote[1447].speaker SPEAKER_16
transcript.pyannote[1447].start 9272.77596875
transcript.pyannote[1447].end 9273.02909375
transcript.pyannote[1448].speaker SPEAKER_10
transcript.pyannote[1448].start 9273.02909375
transcript.pyannote[1448].end 9274.41284375
transcript.pyannote[1449].speaker SPEAKER_16
transcript.pyannote[1449].start 9273.04596875
transcript.pyannote[1449].end 9273.06284375
transcript.pyannote[1450].speaker SPEAKER_09
transcript.pyannote[1450].start 9273.06284375
transcript.pyannote[1450].end 9310.03596875
transcript.pyannote[1451].speaker SPEAKER_16
transcript.pyannote[1451].start 9274.41284375
transcript.pyannote[1451].end 9274.48034375
transcript.pyannote[1452].speaker SPEAKER_10
transcript.pyannote[1452].start 9274.48034375
transcript.pyannote[1452].end 9274.51409375
transcript.pyannote[1453].speaker SPEAKER_10
transcript.pyannote[1453].start 9282.63096875
transcript.pyannote[1453].end 9283.01909375
transcript.pyannote[1454].speaker SPEAKER_10
transcript.pyannote[1454].start 9283.45784375
transcript.pyannote[1454].end 9283.77846875
transcript.pyannote[1455].speaker SPEAKER_00
transcript.pyannote[1455].start 9301.46346875
transcript.pyannote[1455].end 9302.25659375
transcript.pyannote[1456].speaker SPEAKER_00
transcript.pyannote[1456].start 9303.48846875
transcript.pyannote[1456].end 9304.61909375
transcript.pyannote[1457].speaker SPEAKER_10
transcript.pyannote[1457].start 9304.61909375
transcript.pyannote[1457].end 9305.64846875
transcript.pyannote[1458].speaker SPEAKER_00
transcript.pyannote[1458].start 9305.64846875
transcript.pyannote[1458].end 9305.68221875
transcript.pyannote[1459].speaker SPEAKER_10
transcript.pyannote[1459].start 9310.03596875
transcript.pyannote[1459].end 9318.28784375
transcript.pyannote[1460].speaker SPEAKER_09
transcript.pyannote[1460].start 9311.58846875
transcript.pyannote[1460].end 9312.43221875
transcript.pyannote[1461].speaker SPEAKER_09
transcript.pyannote[1461].start 9317.79846875
transcript.pyannote[1461].end 9348.94971875
transcript.pyannote[1462].speaker SPEAKER_18
transcript.pyannote[1462].start 9329.05409375
transcript.pyannote[1462].end 9329.18909375
transcript.pyannote[1463].speaker SPEAKER_10
transcript.pyannote[1463].start 9347.81909375
transcript.pyannote[1463].end 9358.95659375
transcript.pyannote[1464].speaker SPEAKER_09
transcript.pyannote[1464].start 9358.95659375
transcript.pyannote[1464].end 9364.32284375
transcript.pyannote[1465].speaker SPEAKER_10
transcript.pyannote[1465].start 9364.66034375
transcript.pyannote[1465].end 9370.81971875
transcript.pyannote[1466].speaker SPEAKER_15
transcript.pyannote[1466].start 9369.68909375
transcript.pyannote[1466].end 9371.42721875
transcript.pyannote[1467].speaker SPEAKER_03
transcript.pyannote[1467].start 9377.33346875
transcript.pyannote[1467].end 9379.67909375
transcript.pyannote[1468].speaker SPEAKER_03
transcript.pyannote[1468].start 9379.89846875
transcript.pyannote[1468].end 9380.65784375
transcript.pyannote[1469].speaker SPEAKER_03
transcript.pyannote[1469].start 9380.94471875
transcript.pyannote[1469].end 9382.00784375
transcript.pyannote[1470].speaker SPEAKER_03
transcript.pyannote[1470].start 9382.36221875
transcript.pyannote[1470].end 9385.29846875
transcript.pyannote[1471].speaker SPEAKER_17
transcript.pyannote[1471].start 9392.68971875
transcript.pyannote[1471].end 9395.55846875
transcript.pyannote[1472].speaker SPEAKER_17
transcript.pyannote[1472].start 9395.84534375
transcript.pyannote[1472].end 9396.80721875
transcript.pyannote[1473].speaker SPEAKER_03
transcript.pyannote[1473].start 9396.89159375
transcript.pyannote[1473].end 9398.46096875
transcript.pyannote[1474].speaker SPEAKER_17
transcript.pyannote[1474].start 9399.28784375
transcript.pyannote[1474].end 9402.42659375
transcript.pyannote[1475].speaker SPEAKER_17
transcript.pyannote[1475].start 9403.59096875
transcript.pyannote[1475].end 9406.40909375
transcript.pyannote[1476].speaker SPEAKER_17
transcript.pyannote[1476].start 9406.79721875
transcript.pyannote[1476].end 9407.96159375
transcript.pyannote[1477].speaker SPEAKER_17
transcript.pyannote[1477].start 9407.97846875
transcript.pyannote[1477].end 9408.09659375
transcript.pyannote[1478].speaker SPEAKER_17
transcript.pyannote[1478].start 9408.38346875
transcript.pyannote[1478].end 9412.90596875
transcript.pyannote[1479].speaker SPEAKER_17
transcript.pyannote[1479].start 9413.26034375
transcript.pyannote[1479].end 9414.99846875
transcript.pyannote[1480].speaker SPEAKER_17
transcript.pyannote[1480].start 9415.52159375
transcript.pyannote[1480].end 9419.94284375
transcript.pyannote[1481].speaker SPEAKER_17
transcript.pyannote[1481].start 9420.16221875
transcript.pyannote[1481].end 9427.28346875
transcript.pyannote[1482].speaker SPEAKER_17
transcript.pyannote[1482].start 9428.48159375
transcript.pyannote[1482].end 9429.10596875
transcript.pyannote[1483].speaker SPEAKER_16
transcript.pyannote[1483].start 9430.20284375
transcript.pyannote[1483].end 9435.19784375
transcript.pyannote[1484].speaker SPEAKER_17
transcript.pyannote[1484].start 9434.55659375
transcript.pyannote[1484].end 9436.71659375
transcript.pyannote[1485].speaker SPEAKER_16
transcript.pyannote[1485].start 9435.63659375
transcript.pyannote[1485].end 9436.26096875
transcript.pyannote[1486].speaker SPEAKER_16
transcript.pyannote[1486].start 9436.48034375
transcript.pyannote[1486].end 9436.58159375
transcript.pyannote[1487].speaker SPEAKER_18
transcript.pyannote[1487].start 9436.71659375
transcript.pyannote[1487].end 9436.73346875
transcript.pyannote[1488].speaker SPEAKER_17
transcript.pyannote[1488].start 9436.73346875
transcript.pyannote[1488].end 9436.75034375
transcript.pyannote[1489].speaker SPEAKER_18
transcript.pyannote[1489].start 9436.75034375
transcript.pyannote[1489].end 9436.88534375
transcript.pyannote[1490].speaker SPEAKER_17
transcript.pyannote[1490].start 9436.88534375
transcript.pyannote[1490].end 9447.51659375
transcript.pyannote[1491].speaker SPEAKER_16
transcript.pyannote[1491].start 9436.96971875
transcript.pyannote[1491].end 9437.23971875
transcript.pyannote[1492].speaker SPEAKER_16
transcript.pyannote[1492].start 9438.23534375
transcript.pyannote[1492].end 9438.65721875
transcript.pyannote[1493].speaker SPEAKER_16
transcript.pyannote[1493].start 9447.97221875
transcript.pyannote[1493].end 9448.34346875
transcript.pyannote[1494].speaker SPEAKER_16
transcript.pyannote[1494].start 9448.69784375
transcript.pyannote[1494].end 9456.35909375
transcript.pyannote[1495].speaker SPEAKER_17
transcript.pyannote[1495].start 9455.93721875
transcript.pyannote[1495].end 9459.93659375
transcript.pyannote[1496].speaker SPEAKER_16
transcript.pyannote[1496].start 9460.12221875
transcript.pyannote[1496].end 9464.29034375
transcript.pyannote[1497].speaker SPEAKER_17
transcript.pyannote[1497].start 9462.68721875
transcript.pyannote[1497].end 9466.28159375
transcript.pyannote[1498].speaker SPEAKER_17
transcript.pyannote[1498].start 9466.90596875
transcript.pyannote[1498].end 9470.63534375
transcript.pyannote[1499].speaker SPEAKER_17
transcript.pyannote[1499].start 9472.27221875
transcript.pyannote[1499].end 9473.89221875
transcript.pyannote[1500].speaker SPEAKER_17
transcript.pyannote[1500].start 9474.63471875
transcript.pyannote[1500].end 9475.91721875
transcript.pyannote[1501].speaker SPEAKER_17
transcript.pyannote[1501].start 9476.57534375
transcript.pyannote[1501].end 9477.57096875
transcript.pyannote[1502].speaker SPEAKER_17
transcript.pyannote[1502].start 9478.46534375
transcript.pyannote[1502].end 9479.07284375
transcript.pyannote[1503].speaker SPEAKER_18
transcript.pyannote[1503].start 9479.78159375
transcript.pyannote[1503].end 9480.06846875
transcript.pyannote[1504].speaker SPEAKER_17
transcript.pyannote[1504].start 9479.96721875
transcript.pyannote[1504].end 9481.24971875
transcript.pyannote[1505].speaker SPEAKER_17
transcript.pyannote[1505].start 9482.41409375
transcript.pyannote[1505].end 9490.36221875
transcript.pyannote[1506].speaker SPEAKER_17
transcript.pyannote[1506].start 9490.91909375
transcript.pyannote[1506].end 9491.62784375
transcript.pyannote[1507].speaker SPEAKER_17
transcript.pyannote[1507].start 9492.28596875
transcript.pyannote[1507].end 9498.14159375
transcript.pyannote[1508].speaker SPEAKER_17
transcript.pyannote[1508].start 9498.73221875
transcript.pyannote[1508].end 9503.47409375
transcript.pyannote[1509].speaker SPEAKER_17
transcript.pyannote[1509].start 9503.96346875
transcript.pyannote[1509].end 9507.40596875
transcript.pyannote[1510].speaker SPEAKER_17
transcript.pyannote[1510].start 9507.86159375
transcript.pyannote[1510].end 9509.11034375
transcript.pyannote[1511].speaker SPEAKER_17
transcript.pyannote[1511].start 9509.95409375
transcript.pyannote[1511].end 9510.96659375
transcript.pyannote[1512].speaker SPEAKER_17
transcript.pyannote[1512].start 9511.27034375
transcript.pyannote[1512].end 9513.32909375
transcript.pyannote[1513].speaker SPEAKER_17
transcript.pyannote[1513].start 9514.02096875
transcript.pyannote[1513].end 9517.53096875
transcript.pyannote[1514].speaker SPEAKER_17
transcript.pyannote[1514].start 9518.81346875
transcript.pyannote[1514].end 9520.39971875
transcript.pyannote[1515].speaker SPEAKER_17
transcript.pyannote[1515].start 9521.34471875
transcript.pyannote[1515].end 9523.89284375
transcript.pyannote[1516].speaker SPEAKER_17
transcript.pyannote[1516].start 9524.56784375
transcript.pyannote[1516].end 9528.02721875
transcript.pyannote[1517].speaker SPEAKER_18
transcript.pyannote[1517].start 9528.22971875
transcript.pyannote[1517].end 9528.46596875
transcript.pyannote[1518].speaker SPEAKER_17
transcript.pyannote[1518].start 9528.61784375
transcript.pyannote[1518].end 9529.14096875
transcript.pyannote[1519].speaker SPEAKER_17
transcript.pyannote[1519].start 9529.49534375
transcript.pyannote[1519].end 9530.47409375
transcript.pyannote[1520].speaker SPEAKER_17
transcript.pyannote[1520].start 9531.35159375
transcript.pyannote[1520].end 9531.97596875
transcript.pyannote[1521].speaker SPEAKER_16
transcript.pyannote[1521].start 9532.53284375
transcript.pyannote[1521].end 9533.44409375
transcript.pyannote[1522].speaker SPEAKER_17
transcript.pyannote[1522].start 9533.08971875
transcript.pyannote[1522].end 9535.30034375
transcript.pyannote[1523].speaker SPEAKER_16
transcript.pyannote[1523].start 9534.99659375
transcript.pyannote[1523].end 9537.69659375
transcript.pyannote[1524].speaker SPEAKER_16
transcript.pyannote[1524].start 9538.23659375
transcript.pyannote[1524].end 9542.01659375
transcript.pyannote[1525].speaker SPEAKER_17
transcript.pyannote[1525].start 9542.15159375
transcript.pyannote[1525].end 9543.46784375
transcript.pyannote[1526].speaker SPEAKER_17
transcript.pyannote[1526].start 9544.49721875
transcript.pyannote[1526].end 9545.66159375
transcript.pyannote[1527].speaker SPEAKER_17
transcript.pyannote[1527].start 9547.26471875
transcript.pyannote[1527].end 9551.95596875
transcript.pyannote[1528].speaker SPEAKER_17
transcript.pyannote[1528].start 9552.83346875
transcript.pyannote[1528].end 9554.03159375
transcript.pyannote[1529].speaker SPEAKER_17
transcript.pyannote[1529].start 9554.53784375
transcript.pyannote[1529].end 9557.03534375
transcript.pyannote[1530].speaker SPEAKER_17
transcript.pyannote[1530].start 9557.13659375
transcript.pyannote[1530].end 9559.97159375
transcript.pyannote[1531].speaker SPEAKER_17
transcript.pyannote[1531].start 9560.71409375
transcript.pyannote[1531].end 9572.25659375
transcript.pyannote[1532].speaker SPEAKER_17
transcript.pyannote[1532].start 9572.74596875
transcript.pyannote[1532].end 9575.10846875
transcript.pyannote[1533].speaker SPEAKER_17
transcript.pyannote[1533].start 9576.13784375
transcript.pyannote[1533].end 9576.99846875
transcript.pyannote[1534].speaker SPEAKER_17
transcript.pyannote[1534].start 9577.74096875
transcript.pyannote[1534].end 9581.35221875
transcript.pyannote[1535].speaker SPEAKER_17
transcript.pyannote[1535].start 9582.02721875
transcript.pyannote[1535].end 9582.73596875
transcript.pyannote[1536].speaker SPEAKER_17
transcript.pyannote[1536].start 9583.81596875
transcript.pyannote[1536].end 9586.78596875
transcript.pyannote[1537].speaker SPEAKER_17
transcript.pyannote[1537].start 9587.46096875
transcript.pyannote[1537].end 9592.97909375
transcript.pyannote[1538].speaker SPEAKER_17
transcript.pyannote[1538].start 9594.04221875
transcript.pyannote[1538].end 9595.76346875
transcript.pyannote[1539].speaker SPEAKER_17
transcript.pyannote[1539].start 9597.19784375
transcript.pyannote[1539].end 9600.53909375
transcript.pyannote[1540].speaker SPEAKER_17
transcript.pyannote[1540].start 9601.12971875
transcript.pyannote[1540].end 9603.69471875
transcript.pyannote[1541].speaker SPEAKER_17
transcript.pyannote[1541].start 9604.63971875
transcript.pyannote[1541].end 9607.47471875
transcript.pyannote[1542].speaker SPEAKER_17
transcript.pyannote[1542].start 9607.72784375
transcript.pyannote[1542].end 9609.31409375
transcript.pyannote[1543].speaker SPEAKER_17
transcript.pyannote[1543].start 9610.41096875
transcript.pyannote[1543].end 9612.58784375
transcript.pyannote[1544].speaker SPEAKER_17
transcript.pyannote[1544].start 9613.43159375
transcript.pyannote[1544].end 9615.47346875
transcript.pyannote[1545].speaker SPEAKER_17
transcript.pyannote[1545].start 9616.16534375
transcript.pyannote[1545].end 9617.66721875
transcript.pyannote[1546].speaker SPEAKER_17
transcript.pyannote[1546].start 9618.62909375
transcript.pyannote[1546].end 9620.11409375
transcript.pyannote[1547].speaker SPEAKER_17
transcript.pyannote[1547].start 9620.63721875
transcript.pyannote[1547].end 9622.42596875
transcript.pyannote[1548].speaker SPEAKER_17
transcript.pyannote[1548].start 9623.03346875
transcript.pyannote[1548].end 9626.20596875
transcript.pyannote[1549].speaker SPEAKER_17
transcript.pyannote[1549].start 9626.86409375
transcript.pyannote[1549].end 9628.14659375
transcript.pyannote[1550].speaker SPEAKER_17
transcript.pyannote[1550].start 9628.45034375
transcript.pyannote[1550].end 9631.18409375
transcript.pyannote[1551].speaker SPEAKER_17
transcript.pyannote[1551].start 9631.96034375
transcript.pyannote[1551].end 9634.18784375
transcript.pyannote[1552].speaker SPEAKER_17
transcript.pyannote[1552].start 9635.20034375
transcript.pyannote[1552].end 9638.27159375
transcript.pyannote[1553].speaker SPEAKER_17
transcript.pyannote[1553].start 9638.67659375
transcript.pyannote[1553].end 9639.63846875
transcript.pyannote[1554].speaker SPEAKER_17
transcript.pyannote[1554].start 9640.38096875
transcript.pyannote[1554].end 9641.20784375
transcript.pyannote[1555].speaker SPEAKER_17
transcript.pyannote[1555].start 9642.10221875
transcript.pyannote[1555].end 9643.53659375
transcript.pyannote[1556].speaker SPEAKER_17
transcript.pyannote[1556].start 9644.07659375
transcript.pyannote[1556].end 9645.74721875
transcript.pyannote[1557].speaker SPEAKER_17
transcript.pyannote[1557].start 9646.57409375
transcript.pyannote[1557].end 9650.18534375
transcript.pyannote[1558].speaker SPEAKER_17
transcript.pyannote[1558].start 9651.43409375
transcript.pyannote[1558].end 9653.91471875
transcript.pyannote[1559].speaker SPEAKER_17
transcript.pyannote[1559].start 9654.26909375
transcript.pyannote[1559].end 9656.93534375
transcript.pyannote[1560].speaker SPEAKER_17
transcript.pyannote[1560].start 9657.81284375
transcript.pyannote[1560].end 9659.02784375
transcript.pyannote[1561].speaker SPEAKER_17
transcript.pyannote[1561].start 9659.97284375
transcript.pyannote[1561].end 9661.62659375
transcript.pyannote[1562].speaker SPEAKER_17
transcript.pyannote[1562].start 9662.63909375
transcript.pyannote[1562].end 9664.30971875
transcript.pyannote[1563].speaker SPEAKER_17
transcript.pyannote[1563].start 9665.08596875
transcript.pyannote[1563].end 9667.29659375
transcript.pyannote[1564].speaker SPEAKER_17
transcript.pyannote[1564].start 9668.12346875
transcript.pyannote[1564].end 9668.64659375
transcript.pyannote[1565].speaker SPEAKER_16
transcript.pyannote[1565].start 9669.70971875
transcript.pyannote[1565].end 9676.79721875
transcript.pyannote[1566].speaker SPEAKER_17
transcript.pyannote[1566].start 9675.49784375
transcript.pyannote[1566].end 9677.50596875
transcript.pyannote[1567].speaker SPEAKER_16
transcript.pyannote[1567].start 9678.01221875
transcript.pyannote[1567].end 9681.80909375
transcript.pyannote[1568].speaker SPEAKER_17
transcript.pyannote[1568].start 9678.07971875
transcript.pyannote[1568].end 9678.21471875
transcript.pyannote[1569].speaker SPEAKER_17
transcript.pyannote[1569].start 9680.23971875
transcript.pyannote[1569].end 9682.87221875
transcript.pyannote[1570].speaker SPEAKER_17
transcript.pyannote[1570].start 9684.50909375
transcript.pyannote[1570].end 9685.33596875
transcript.pyannote[1571].speaker SPEAKER_17
transcript.pyannote[1571].start 9685.60596875
transcript.pyannote[1571].end 9686.19659375
transcript.pyannote[1572].speaker SPEAKER_17
transcript.pyannote[1572].start 9688.30596875
transcript.pyannote[1572].end 9688.74471875
transcript.pyannote[1573].speaker SPEAKER_17
transcript.pyannote[1573].start 9689.77409375
transcript.pyannote[1573].end 9691.25909375
transcript.pyannote[1574].speaker SPEAKER_17
transcript.pyannote[1574].start 9692.57534375
transcript.pyannote[1574].end 9694.12784375
transcript.pyannote[1575].speaker SPEAKER_17
transcript.pyannote[1575].start 9694.24596875
transcript.pyannote[1575].end 9695.57909375
transcript.pyannote[1576].speaker SPEAKER_17
transcript.pyannote[1576].start 9696.70971875
transcript.pyannote[1576].end 9699.02159375
transcript.pyannote[1577].speaker SPEAKER_17
transcript.pyannote[1577].start 9700.03409375
transcript.pyannote[1577].end 9702.88596875
transcript.pyannote[1578].speaker SPEAKER_17
transcript.pyannote[1578].start 9704.28659375
transcript.pyannote[1578].end 9709.02846875
transcript.pyannote[1579].speaker SPEAKER_17
transcript.pyannote[1579].start 9709.12971875
transcript.pyannote[1579].end 9710.29409375
transcript.pyannote[1580].speaker SPEAKER_17
transcript.pyannote[1580].start 9710.44596875
transcript.pyannote[1580].end 9711.45846875
transcript.pyannote[1581].speaker SPEAKER_17
transcript.pyannote[1581].start 9712.84221875
transcript.pyannote[1581].end 9715.40721875
transcript.pyannote[1582].speaker SPEAKER_17
transcript.pyannote[1582].start 9716.06534375
transcript.pyannote[1582].end 9717.60096875
transcript.pyannote[1583].speaker SPEAKER_17
transcript.pyannote[1583].start 9717.95534375
transcript.pyannote[1583].end 9718.86659375
transcript.pyannote[1584].speaker SPEAKER_17
transcript.pyannote[1584].start 9719.38971875
transcript.pyannote[1584].end 9720.41909375
transcript.pyannote[1585].speaker SPEAKER_17
transcript.pyannote[1585].start 9721.85346875
transcript.pyannote[1585].end 9722.08971875
transcript.pyannote[1586].speaker SPEAKER_06
transcript.pyannote[1586].start 9722.08971875
transcript.pyannote[1586].end 9722.12346875
transcript.pyannote[1587].speaker SPEAKER_17
transcript.pyannote[1587].start 9722.12346875
transcript.pyannote[1587].end 9722.57909375
transcript.pyannote[1588].speaker SPEAKER_06
transcript.pyannote[1588].start 9722.15721875
transcript.pyannote[1588].end 9722.17409375
transcript.pyannote[1589].speaker SPEAKER_04
transcript.pyannote[1589].start 9722.17409375
transcript.pyannote[1589].end 9722.49471875
transcript.pyannote[1590].speaker SPEAKER_04
transcript.pyannote[1590].start 9723.59159375
transcript.pyannote[1590].end 9731.33721875
transcript.pyannote[1591].speaker SPEAKER_04
transcript.pyannote[1591].start 9733.48034375
transcript.pyannote[1591].end 9734.96534375
transcript.pyannote[1592].speaker SPEAKER_17
transcript.pyannote[1592].start 9734.96534375
transcript.pyannote[1592].end 9735.74159375
transcript.pyannote[1593].speaker SPEAKER_17
transcript.pyannote[1593].start 9736.36596875
transcript.pyannote[1593].end 9737.66534375
transcript.pyannote[1594].speaker SPEAKER_17
transcript.pyannote[1594].start 9738.96471875
transcript.pyannote[1594].end 9739.31909375
transcript.pyannote[1595].speaker SPEAKER_17
transcript.pyannote[1595].start 9739.60596875
transcript.pyannote[1595].end 9743.43659375
transcript.pyannote[1596].speaker SPEAKER_17
transcript.pyannote[1596].start 9744.61784375
transcript.pyannote[1596].end 9748.65096875
transcript.pyannote[1597].speaker SPEAKER_17
transcript.pyannote[1597].start 9749.30909375
transcript.pyannote[1597].end 9752.41409375
transcript.pyannote[1598].speaker SPEAKER_17
transcript.pyannote[1598].start 9754.10159375
transcript.pyannote[1598].end 9755.53596875
transcript.pyannote[1599].speaker SPEAKER_17
transcript.pyannote[1599].start 9755.70471875
transcript.pyannote[1599].end 9757.32471875
transcript.pyannote[1600].speaker SPEAKER_17
transcript.pyannote[1600].start 9757.88159375
transcript.pyannote[1600].end 9760.53096875
transcript.pyannote[1601].speaker SPEAKER_17
transcript.pyannote[1601].start 9761.29034375
transcript.pyannote[1601].end 9764.17596875
transcript.pyannote[1602].speaker SPEAKER_17
transcript.pyannote[1602].start 9764.63159375
transcript.pyannote[1602].end 9770.23409375
transcript.pyannote[1603].speaker SPEAKER_17
transcript.pyannote[1603].start 9770.94284375
transcript.pyannote[1603].end 9772.47846875
transcript.pyannote[1604].speaker SPEAKER_17
transcript.pyannote[1604].start 9773.64284375
transcript.pyannote[1604].end 9776.95034375
transcript.pyannote[1605].speaker SPEAKER_17
transcript.pyannote[1605].start 9777.72659375
transcript.pyannote[1605].end 9783.53159375
transcript.pyannote[1606].speaker SPEAKER_17
transcript.pyannote[1606].start 9784.24034375
transcript.pyannote[1606].end 9786.23159375
transcript.pyannote[1607].speaker SPEAKER_17
transcript.pyannote[1607].start 9786.83909375
transcript.pyannote[1607].end 9787.31159375
transcript.pyannote[1608].speaker SPEAKER_17
transcript.pyannote[1608].start 9788.49284375
transcript.pyannote[1608].end 9789.84284375
transcript.pyannote[1609].speaker SPEAKER_17
transcript.pyannote[1609].start 9790.50096875
transcript.pyannote[1609].end 9790.63596875
transcript.pyannote[1610].speaker SPEAKER_16
transcript.pyannote[1610].start 9790.63596875
transcript.pyannote[1610].end 9790.70346875
transcript.pyannote[1611].speaker SPEAKER_17
transcript.pyannote[1611].start 9790.70346875
transcript.pyannote[1611].end 9791.64846875
transcript.pyannote[1612].speaker SPEAKER_16
transcript.pyannote[1612].start 9790.82159375
transcript.pyannote[1612].end 9796.12034375
transcript.pyannote[1613].speaker SPEAKER_17
transcript.pyannote[1613].start 9796.03596875
transcript.pyannote[1613].end 9812.74221875
transcript.pyannote[1614].speaker SPEAKER_17
transcript.pyannote[1614].start 9813.75471875
transcript.pyannote[1614].end 9816.33659375
transcript.pyannote[1615].speaker SPEAKER_17
transcript.pyannote[1615].start 9816.74159375
transcript.pyannote[1615].end 9818.61471875
transcript.pyannote[1616].speaker SPEAKER_17
transcript.pyannote[1616].start 9818.69909375
transcript.pyannote[1616].end 9819.57659375
transcript.pyannote[1617].speaker SPEAKER_17
transcript.pyannote[1617].start 9819.84659375
transcript.pyannote[1617].end 9821.78721875
transcript.pyannote[1618].speaker SPEAKER_17
transcript.pyannote[1618].start 9821.88846875
transcript.pyannote[1618].end 9822.02346875
transcript.pyannote[1619].speaker SPEAKER_15
transcript.pyannote[1619].start 9822.02346875
transcript.pyannote[1619].end 9822.32721875
transcript.pyannote[1620].speaker SPEAKER_03
transcript.pyannote[1620].start 9822.46221875
transcript.pyannote[1620].end 9828.80721875
transcript.pyannote[1621].speaker SPEAKER_24
transcript.pyannote[1621].start 9839.42159375
transcript.pyannote[1621].end 9843.77534375
transcript.pyannote[1622].speaker SPEAKER_03
transcript.pyannote[1622].start 9842.84721875
transcript.pyannote[1622].end 9843.75846875
transcript.pyannote[1623].speaker SPEAKER_24
transcript.pyannote[1623].start 9848.93909375
transcript.pyannote[1623].end 9854.52471875
transcript.pyannote[1624].speaker SPEAKER_24
transcript.pyannote[1624].start 9854.84534375
transcript.pyannote[1624].end 9861.27471875
transcript.pyannote[1625].speaker SPEAKER_24
transcript.pyannote[1625].start 9862.03409375
transcript.pyannote[1625].end 9865.03784375
transcript.pyannote[1626].speaker SPEAKER_24
transcript.pyannote[1626].start 9865.12221875
transcript.pyannote[1626].end 9866.64096875
transcript.pyannote[1627].speaker SPEAKER_24
transcript.pyannote[1627].start 9867.29909375
transcript.pyannote[1627].end 9867.83909375
transcript.pyannote[1628].speaker SPEAKER_24
transcript.pyannote[1628].start 9868.15971875
transcript.pyannote[1628].end 9869.17221875
transcript.pyannote[1629].speaker SPEAKER_24
transcript.pyannote[1629].start 9869.86409375
transcript.pyannote[1629].end 9870.75846875
transcript.pyannote[1630].speaker SPEAKER_25
transcript.pyannote[1630].start 9870.75846875
transcript.pyannote[1630].end 9870.77534375
transcript.pyannote[1631].speaker SPEAKER_24
transcript.pyannote[1631].start 9871.95659375
transcript.pyannote[1631].end 9871.97346875
transcript.pyannote[1632].speaker SPEAKER_25
transcript.pyannote[1632].start 9871.97346875
transcript.pyannote[1632].end 9872.15909375
transcript.pyannote[1633].speaker SPEAKER_25
transcript.pyannote[1633].start 9872.46284375
transcript.pyannote[1633].end 9874.25159375
transcript.pyannote[1634].speaker SPEAKER_24
transcript.pyannote[1634].start 9875.24721875
transcript.pyannote[1634].end 9879.14534375
transcript.pyannote[1635].speaker SPEAKER_24
transcript.pyannote[1635].start 9879.73596875
transcript.pyannote[1635].end 9887.44784375
transcript.pyannote[1636].speaker SPEAKER_24
transcript.pyannote[1636].start 9887.83596875
transcript.pyannote[1636].end 9889.20284375
transcript.pyannote[1637].speaker SPEAKER_24
transcript.pyannote[1637].start 9889.23659375
transcript.pyannote[1637].end 9891.31221875
transcript.pyannote[1638].speaker SPEAKER_24
transcript.pyannote[1638].start 9892.17284375
transcript.pyannote[1638].end 9896.40846875
transcript.pyannote[1639].speaker SPEAKER_24
transcript.pyannote[1639].start 9896.61096875
transcript.pyannote[1639].end 9898.60221875
transcript.pyannote[1640].speaker SPEAKER_24
transcript.pyannote[1640].start 9898.72034375
transcript.pyannote[1640].end 9903.51284375
transcript.pyannote[1641].speaker SPEAKER_24
transcript.pyannote[1641].start 9904.28909375
transcript.pyannote[1641].end 9904.57596875
transcript.pyannote[1642].speaker SPEAKER_24
transcript.pyannote[1642].start 9905.06534375
transcript.pyannote[1642].end 9913.67159375
transcript.pyannote[1643].speaker SPEAKER_24
transcript.pyannote[1643].start 9914.24534375
transcript.pyannote[1643].end 9921.70409375
transcript.pyannote[1644].speaker SPEAKER_25
transcript.pyannote[1644].start 9922.48034375
transcript.pyannote[1644].end 9929.61846875
transcript.pyannote[1645].speaker SPEAKER_24
transcript.pyannote[1645].start 9929.66909375
transcript.pyannote[1645].end 9933.19596875
transcript.pyannote[1646].speaker SPEAKER_24
transcript.pyannote[1646].start 9933.55034375
transcript.pyannote[1646].end 9936.08159375
transcript.pyannote[1647].speaker SPEAKER_25
transcript.pyannote[1647].start 9935.06909375
transcript.pyannote[1647].end 9942.71346875
transcript.pyannote[1648].speaker SPEAKER_25
transcript.pyannote[1648].start 9943.05096875
transcript.pyannote[1648].end 9943.25346875
transcript.pyannote[1649].speaker SPEAKER_24
transcript.pyannote[1649].start 9943.25346875
transcript.pyannote[1649].end 9943.32096875
transcript.pyannote[1650].speaker SPEAKER_25
transcript.pyannote[1650].start 9943.32096875
transcript.pyannote[1650].end 9943.33784375
transcript.pyannote[1651].speaker SPEAKER_24
transcript.pyannote[1651].start 9943.33784375
transcript.pyannote[1651].end 9943.40534375
transcript.pyannote[1652].speaker SPEAKER_24
transcript.pyannote[1652].start 9943.54034375
transcript.pyannote[1652].end 9944.78909375
transcript.pyannote[1653].speaker SPEAKER_24
transcript.pyannote[1653].start 9945.21096875
transcript.pyannote[1653].end 9954.23909375
transcript.pyannote[1654].speaker SPEAKER_24
transcript.pyannote[1654].start 9955.31909375
transcript.pyannote[1654].end 9964.93784375
transcript.pyannote[1655].speaker SPEAKER_24
transcript.pyannote[1655].start 9965.25846875
transcript.pyannote[1655].end 9967.36784375
transcript.pyannote[1656].speaker SPEAKER_24
transcript.pyannote[1656].start 9967.80659375
transcript.pyannote[1656].end 9968.97096875
transcript.pyannote[1657].speaker SPEAKER_25
transcript.pyannote[1657].start 9969.51096875
transcript.pyannote[1657].end 9974.89409375
transcript.pyannote[1658].speaker SPEAKER_24
transcript.pyannote[1658].start 9970.54034375
transcript.pyannote[1658].end 9971.41784375
transcript.pyannote[1659].speaker SPEAKER_25
transcript.pyannote[1659].start 9975.65346875
transcript.pyannote[1659].end 9986.18346875
transcript.pyannote[1660].speaker SPEAKER_25
transcript.pyannote[1660].start 9986.48721875
transcript.pyannote[1660].end 9987.65159375
transcript.pyannote[1661].speaker SPEAKER_24
transcript.pyannote[1661].start 9987.70221875
transcript.pyannote[1661].end 9990.13221875
transcript.pyannote[1662].speaker SPEAKER_24
transcript.pyannote[1662].start 9991.14471875
transcript.pyannote[1662].end 9995.61659375
transcript.pyannote[1663].speaker SPEAKER_24
transcript.pyannote[1663].start 9996.07221875
transcript.pyannote[1663].end 9997.33784375
transcript.pyannote[1664].speaker SPEAKER_25
transcript.pyannote[1664].start 9997.52346875
transcript.pyannote[1664].end 9998.80596875
transcript.pyannote[1665].speaker SPEAKER_24
transcript.pyannote[1665].start 9999.48096875
transcript.pyannote[1665].end 10001.59034375
transcript.pyannote[1666].speaker SPEAKER_24
transcript.pyannote[1666].start 10002.07971875
transcript.pyannote[1666].end 10009.08284375
transcript.pyannote[1667].speaker SPEAKER_24
transcript.pyannote[1667].start 10009.62284375
transcript.pyannote[1667].end 10026.53159375
transcript.pyannote[1668].speaker SPEAKER_24
transcript.pyannote[1668].start 10026.95346875
transcript.pyannote[1668].end 10046.88284375
transcript.pyannote[1669].speaker SPEAKER_24
transcript.pyannote[1669].start 10047.06846875
transcript.pyannote[1669].end 10058.74596875
transcript.pyannote[1670].speaker SPEAKER_25
transcript.pyannote[1670].start 10060.12971875
transcript.pyannote[1670].end 10072.87034375
transcript.pyannote[1671].speaker SPEAKER_24
transcript.pyannote[1671].start 10073.44409375
transcript.pyannote[1671].end 10088.46284375
transcript.pyannote[1672].speaker SPEAKER_24
transcript.pyannote[1672].start 10088.93534375
transcript.pyannote[1672].end 10091.65221875
transcript.pyannote[1673].speaker SPEAKER_24
transcript.pyannote[1673].start 10091.97284375
transcript.pyannote[1673].end 10098.28409375
transcript.pyannote[1674].speaker SPEAKER_24
transcript.pyannote[1674].start 10099.00971875
transcript.pyannote[1674].end 10100.62971875
transcript.pyannote[1675].speaker SPEAKER_24
transcript.pyannote[1675].start 10100.78159375
transcript.pyannote[1675].end 10101.91221875
transcript.pyannote[1676].speaker SPEAKER_25
transcript.pyannote[1676].start 10100.81534375
transcript.pyannote[1676].end 10111.42971875
transcript.pyannote[1677].speaker SPEAKER_24
transcript.pyannote[1677].start 10112.07096875
transcript.pyannote[1677].end 10136.64096875
transcript.pyannote[1678].speaker SPEAKER_25
transcript.pyannote[1678].start 10137.33284375
transcript.pyannote[1678].end 10143.64409375
transcript.pyannote[1679].speaker SPEAKER_25
transcript.pyannote[1679].start 10143.96471875
transcript.pyannote[1679].end 10144.21784375
transcript.pyannote[1680].speaker SPEAKER_24
transcript.pyannote[1680].start 10144.21784375
transcript.pyannote[1680].end 10164.90659375
transcript.pyannote[1681].speaker SPEAKER_25
transcript.pyannote[1681].start 10166.23971875
transcript.pyannote[1681].end 10176.14534375
transcript.pyannote[1682].speaker SPEAKER_24
transcript.pyannote[1682].start 10168.78784375
transcript.pyannote[1682].end 10169.20971875
transcript.pyannote[1683].speaker SPEAKER_24
transcript.pyannote[1683].start 10173.79971875
transcript.pyannote[1683].end 10179.87471875
transcript.pyannote[1684].speaker SPEAKER_24
transcript.pyannote[1684].start 10180.38096875
transcript.pyannote[1684].end 10204.19159375
transcript.pyannote[1685].speaker SPEAKER_24
transcript.pyannote[1685].start 10205.01846875
transcript.pyannote[1685].end 10206.84096875
transcript.pyannote[1686].speaker SPEAKER_24
transcript.pyannote[1686].start 10207.17846875
transcript.pyannote[1686].end 10208.57909375
transcript.pyannote[1687].speaker SPEAKER_24
transcript.pyannote[1687].start 10209.13596875
transcript.pyannote[1687].end 10215.78471875
transcript.pyannote[1688].speaker SPEAKER_24
transcript.pyannote[1688].start 10217.01659375
transcript.pyannote[1688].end 10223.85096875
transcript.pyannote[1689].speaker SPEAKER_24
transcript.pyannote[1689].start 10224.05346875
transcript.pyannote[1689].end 10226.23034375
transcript.pyannote[1690].speaker SPEAKER_24
transcript.pyannote[1690].start 10226.71971875
transcript.pyannote[1690].end 10243.89846875
transcript.pyannote[1691].speaker SPEAKER_24
transcript.pyannote[1691].start 10245.21471875
transcript.pyannote[1691].end 10246.02471875
transcript.pyannote[1692].speaker SPEAKER_24
transcript.pyannote[1692].start 10246.44659375
transcript.pyannote[1692].end 10253.58471875
transcript.pyannote[1693].speaker SPEAKER_25
transcript.pyannote[1693].start 10255.37346875
transcript.pyannote[1693].end 10255.87971875
transcript.pyannote[1694].speaker SPEAKER_25
transcript.pyannote[1694].start 10256.52096875
transcript.pyannote[1694].end 10265.07659375
transcript.pyannote[1695].speaker SPEAKER_24
transcript.pyannote[1695].start 10265.07659375
transcript.pyannote[1695].end 10285.25909375
transcript.pyannote[1696].speaker SPEAKER_24
transcript.pyannote[1696].start 10285.73159375
transcript.pyannote[1696].end 10288.11096875
transcript.pyannote[1697].speaker SPEAKER_25
transcript.pyannote[1697].start 10286.47409375
transcript.pyannote[1697].end 10290.94596875
transcript.pyannote[1698].speaker SPEAKER_24
transcript.pyannote[1698].start 10290.94596875
transcript.pyannote[1698].end 10295.13096875
transcript.pyannote[1699].speaker SPEAKER_16
transcript.pyannote[1699].start 10299.24846875
transcript.pyannote[1699].end 10300.07534375
transcript.pyannote[1700].speaker SPEAKER_24
transcript.pyannote[1700].start 10300.42971875
transcript.pyannote[1700].end 10303.90596875
transcript.pyannote[1701].speaker SPEAKER_24
transcript.pyannote[1701].start 10303.97346875
transcript.pyannote[1701].end 10306.77471875
transcript.pyannote[1702].speaker SPEAKER_24
transcript.pyannote[1702].start 10307.19659375
transcript.pyannote[1702].end 10307.90534375
transcript.pyannote[1703].speaker SPEAKER_24
transcript.pyannote[1703].start 10308.34409375
transcript.pyannote[1703].end 10313.86221875
transcript.pyannote[1704].speaker SPEAKER_24
transcript.pyannote[1704].start 10314.26721875
transcript.pyannote[1704].end 10315.12784375
transcript.pyannote[1705].speaker SPEAKER_24
transcript.pyannote[1705].start 10315.51596875
transcript.pyannote[1705].end 10316.41034375
transcript.pyannote[1706].speaker SPEAKER_24
transcript.pyannote[1706].start 10316.71409375
transcript.pyannote[1706].end 10328.22284375
transcript.pyannote[1707].speaker SPEAKER_24
transcript.pyannote[1707].start 10328.25659375
transcript.pyannote[1707].end 10329.43784375
transcript.pyannote[1708].speaker SPEAKER_24
transcript.pyannote[1708].start 10329.77534375
transcript.pyannote[1708].end 10335.41159375
transcript.pyannote[1709].speaker SPEAKER_24
transcript.pyannote[1709].start 10335.96846875
transcript.pyannote[1709].end 10347.08909375
transcript.pyannote[1710].speaker SPEAKER_24
transcript.pyannote[1710].start 10347.52784375
transcript.pyannote[1710].end 10348.50659375
transcript.pyannote[1711].speaker SPEAKER_24
transcript.pyannote[1711].start 10348.82721875
transcript.pyannote[1711].end 10362.79971875
transcript.pyannote[1712].speaker SPEAKER_24
transcript.pyannote[1712].start 10363.55909375
transcript.pyannote[1712].end 10372.85721875
transcript.pyannote[1713].speaker SPEAKER_24
transcript.pyannote[1713].start 10373.27909375
transcript.pyannote[1713].end 10374.89909375
transcript.pyannote[1714].speaker SPEAKER_24
transcript.pyannote[1714].start 10375.20284375
transcript.pyannote[1714].end 10376.11409375
transcript.pyannote[1715].speaker SPEAKER_24
transcript.pyannote[1715].start 10376.50221875
transcript.pyannote[1715].end 10382.10471875
transcript.pyannote[1716].speaker SPEAKER_24
transcript.pyannote[1716].start 10382.44221875
transcript.pyannote[1716].end 10387.08284375
transcript.pyannote[1717].speaker SPEAKER_24
transcript.pyannote[1717].start 10387.31909375
transcript.pyannote[1717].end 10397.41034375
transcript.pyannote[1718].speaker SPEAKER_16
transcript.pyannote[1718].start 10397.41034375
transcript.pyannote[1718].end 10397.71409375
transcript.pyannote[1719].speaker SPEAKER_24
transcript.pyannote[1719].start 10398.96284375
transcript.pyannote[1719].end 10399.45221875
transcript.pyannote[1720].speaker SPEAKER_24
transcript.pyannote[1720].start 10399.94159375
transcript.pyannote[1720].end 10407.97409375
transcript.pyannote[1721].speaker SPEAKER_16
transcript.pyannote[1721].start 10407.97409375
transcript.pyannote[1721].end 10411.23096875
transcript.pyannote[1722].speaker SPEAKER_16
transcript.pyannote[1722].start 10411.55159375
transcript.pyannote[1722].end 10413.27284375
transcript.pyannote[1723].speaker SPEAKER_16
transcript.pyannote[1723].start 10413.67784375
transcript.pyannote[1723].end 10424.05596875
transcript.pyannote[1724].speaker SPEAKER_00
transcript.pyannote[1724].start 10415.90534375
transcript.pyannote[1724].end 10417.08659375
transcript.pyannote[1725].speaker SPEAKER_24
transcript.pyannote[1725].start 10424.05596875
transcript.pyannote[1725].end 10425.32159375
transcript.pyannote[1726].speaker SPEAKER_24
transcript.pyannote[1726].start 10425.69284375
transcript.pyannote[1726].end 10438.29846875
transcript.pyannote[1727].speaker SPEAKER_16
transcript.pyannote[1727].start 10426.97534375
transcript.pyannote[1727].end 10427.41409375
transcript.pyannote[1728].speaker SPEAKER_24
transcript.pyannote[1728].start 10438.58534375
transcript.pyannote[1728].end 10442.12909375
transcript.pyannote[1729].speaker SPEAKER_24
transcript.pyannote[1729].start 10442.78721875
transcript.pyannote[1729].end 10448.38971875
transcript.pyannote[1730].speaker SPEAKER_24
transcript.pyannote[1730].start 10448.77784375
transcript.pyannote[1730].end 10450.00971875
transcript.pyannote[1731].speaker SPEAKER_24
transcript.pyannote[1731].start 10451.12346875
transcript.pyannote[1731].end 10453.77284375
transcript.pyannote[1732].speaker SPEAKER_24
transcript.pyannote[1732].start 10454.32971875
transcript.pyannote[1732].end 10459.17284375
transcript.pyannote[1733].speaker SPEAKER_18
transcript.pyannote[1733].start 10459.00409375
transcript.pyannote[1733].end 10459.37534375
transcript.pyannote[1734].speaker SPEAKER_24
transcript.pyannote[1734].start 10459.32471875
transcript.pyannote[1734].end 10470.54659375
transcript.pyannote[1735].speaker SPEAKER_24
transcript.pyannote[1735].start 10471.17096875
transcript.pyannote[1735].end 10472.95971875
transcript.pyannote[1736].speaker SPEAKER_03
transcript.pyannote[1736].start 10473.29721875
transcript.pyannote[1736].end 10478.84909375
transcript.pyannote[1737].speaker SPEAKER_20
transcript.pyannote[1737].start 10490.79659375
transcript.pyannote[1737].end 10493.98596875
transcript.pyannote[1738].speaker SPEAKER_03
transcript.pyannote[1738].start 10494.62721875
transcript.pyannote[1738].end 10496.98971875
transcript.pyannote[1739].speaker SPEAKER_20
transcript.pyannote[1739].start 10500.92159375
transcript.pyannote[1739].end 10503.67221875
transcript.pyannote[1740].speaker SPEAKER_20
transcript.pyannote[1740].start 10504.76909375
transcript.pyannote[1740].end 10519.65284375
transcript.pyannote[1741].speaker SPEAKER_20
transcript.pyannote[1741].start 10520.34471875
transcript.pyannote[1741].end 10522.23471875
transcript.pyannote[1742].speaker SPEAKER_25
transcript.pyannote[1742].start 10521.47534375
transcript.pyannote[1742].end 10521.88034375
transcript.pyannote[1743].speaker SPEAKER_20
transcript.pyannote[1743].start 10522.96034375
transcript.pyannote[1743].end 10525.72784375
transcript.pyannote[1744].speaker SPEAKER_25
transcript.pyannote[1744].start 10524.68159375
transcript.pyannote[1744].end 10526.77409375
transcript.pyannote[1745].speaker SPEAKER_20
transcript.pyannote[1745].start 10526.57159375
transcript.pyannote[1745].end 10532.96721875
transcript.pyannote[1746].speaker SPEAKER_20
transcript.pyannote[1746].start 10533.16971875
transcript.pyannote[1746].end 10535.44784375
transcript.pyannote[1747].speaker SPEAKER_20
transcript.pyannote[1747].start 10535.59971875
transcript.pyannote[1747].end 10539.21096875
transcript.pyannote[1748].speaker SPEAKER_20
transcript.pyannote[1748].start 10539.76784375
transcript.pyannote[1748].end 10546.68659375
transcript.pyannote[1749].speaker SPEAKER_20
transcript.pyannote[1749].start 10546.85534375
transcript.pyannote[1749].end 10549.62284375
transcript.pyannote[1750].speaker SPEAKER_20
transcript.pyannote[1750].start 10550.21346875
transcript.pyannote[1750].end 10554.02721875
transcript.pyannote[1751].speaker SPEAKER_20
transcript.pyannote[1751].start 10554.09471875
transcript.pyannote[1751].end 10557.87471875
transcript.pyannote[1752].speaker SPEAKER_20
transcript.pyannote[1752].start 10558.43159375
transcript.pyannote[1752].end 10561.11471875
transcript.pyannote[1753].speaker SPEAKER_20
transcript.pyannote[1753].start 10561.40159375
transcript.pyannote[1753].end 10584.95909375
transcript.pyannote[1754].speaker SPEAKER_20
transcript.pyannote[1754].start 10585.44846875
transcript.pyannote[1754].end 10592.14784375
transcript.pyannote[1755].speaker SPEAKER_20
transcript.pyannote[1755].start 10592.55284375
transcript.pyannote[1755].end 10596.58596875
transcript.pyannote[1756].speaker SPEAKER_20
transcript.pyannote[1756].start 10597.36221875
transcript.pyannote[1756].end 10606.57596875
transcript.pyannote[1757].speaker SPEAKER_20
transcript.pyannote[1757].start 10607.41971875
transcript.pyannote[1757].end 10614.18659375
transcript.pyannote[1758].speaker SPEAKER_20
transcript.pyannote[1758].start 10615.04721875
transcript.pyannote[1758].end 10620.76784375
transcript.pyannote[1759].speaker SPEAKER_20
transcript.pyannote[1759].start 10621.66221875
transcript.pyannote[1759].end 10630.08284375
transcript.pyannote[1760].speaker SPEAKER_20
transcript.pyannote[1760].start 10630.55534375
transcript.pyannote[1760].end 10638.67221875
transcript.pyannote[1761].speaker SPEAKER_20
transcript.pyannote[1761].start 10639.02659375
transcript.pyannote[1761].end 10640.93346875
transcript.pyannote[1762].speaker SPEAKER_25
transcript.pyannote[1762].start 10641.25409375
transcript.pyannote[1762].end 10652.32409375
transcript.pyannote[1763].speaker SPEAKER_25
transcript.pyannote[1763].start 10652.91471875
transcript.pyannote[1763].end 10667.03909375
transcript.pyannote[1764].speaker SPEAKER_20
transcript.pyannote[1764].start 10663.42784375
transcript.pyannote[1764].end 10663.57971875
transcript.pyannote[1765].speaker SPEAKER_20
transcript.pyannote[1765].start 10667.03909375
transcript.pyannote[1765].end 10674.71721875
transcript.pyannote[1766].speaker SPEAKER_20
transcript.pyannote[1766].start 10675.25721875
transcript.pyannote[1766].end 10680.53909375
transcript.pyannote[1767].speaker SPEAKER_20
transcript.pyannote[1767].start 10680.91034375
transcript.pyannote[1767].end 10682.39534375
transcript.pyannote[1768].speaker SPEAKER_20
transcript.pyannote[1768].start 10683.08721875
transcript.pyannote[1768].end 10684.04909375
transcript.pyannote[1769].speaker SPEAKER_20
transcript.pyannote[1769].start 10684.23471875
transcript.pyannote[1769].end 10685.48346875
transcript.pyannote[1770].speaker SPEAKER_20
transcript.pyannote[1770].start 10686.04034375
transcript.pyannote[1770].end 10687.44096875
transcript.pyannote[1771].speaker SPEAKER_20
transcript.pyannote[1771].start 10687.86284375
transcript.pyannote[1771].end 10699.25346875
transcript.pyannote[1772].speaker SPEAKER_20
transcript.pyannote[1772].start 10699.55721875
transcript.pyannote[1772].end 10714.27221875
transcript.pyannote[1773].speaker SPEAKER_20
transcript.pyannote[1773].start 10714.72784375
transcript.pyannote[1773].end 10718.17034375
transcript.pyannote[1774].speaker SPEAKER_20
transcript.pyannote[1774].start 10718.96346875
transcript.pyannote[1774].end 10721.88284375
transcript.pyannote[1775].speaker SPEAKER_20
transcript.pyannote[1775].start 10721.96721875
transcript.pyannote[1775].end 10723.45221875
transcript.pyannote[1776].speaker SPEAKER_20
transcript.pyannote[1776].start 10724.29596875
transcript.pyannote[1776].end 10725.34221875
transcript.pyannote[1777].speaker SPEAKER_20
transcript.pyannote[1777].start 10725.84846875
transcript.pyannote[1777].end 10726.42221875
transcript.pyannote[1778].speaker SPEAKER_20
transcript.pyannote[1778].start 10726.84409375
transcript.pyannote[1778].end 10727.40096875
transcript.pyannote[1779].speaker SPEAKER_20
transcript.pyannote[1779].start 10727.50221875
transcript.pyannote[1779].end 10729.39221875
transcript.pyannote[1780].speaker SPEAKER_20
transcript.pyannote[1780].start 10729.57784375
transcript.pyannote[1780].end 10733.59409375
transcript.pyannote[1781].speaker SPEAKER_20
transcript.pyannote[1781].start 10734.48846875
transcript.pyannote[1781].end 10735.72034375
transcript.pyannote[1782].speaker SPEAKER_20
transcript.pyannote[1782].start 10735.83846875
transcript.pyannote[1782].end 10742.40284375
transcript.pyannote[1783].speaker SPEAKER_20
transcript.pyannote[1783].start 10742.84159375
transcript.pyannote[1783].end 10746.13221875
transcript.pyannote[1784].speaker SPEAKER_20
transcript.pyannote[1784].start 10746.38534375
transcript.pyannote[1784].end 10749.15284375
transcript.pyannote[1785].speaker SPEAKER_20
transcript.pyannote[1785].start 10749.42284375
transcript.pyannote[1785].end 10750.46909375
transcript.pyannote[1786].speaker SPEAKER_20
transcript.pyannote[1786].start 10750.51971875
transcript.pyannote[1786].end 10750.53659375
transcript.pyannote[1787].speaker SPEAKER_20
transcript.pyannote[1787].start 10750.63784375
transcript.pyannote[1787].end 10754.04659375
transcript.pyannote[1788].speaker SPEAKER_20
transcript.pyannote[1788].start 10754.55284375
transcript.pyannote[1788].end 10756.30784375
transcript.pyannote[1789].speaker SPEAKER_20
transcript.pyannote[1789].start 10756.74659375
transcript.pyannote[1789].end 10758.68721875
transcript.pyannote[1790].speaker SPEAKER_20
transcript.pyannote[1790].start 10759.02471875
transcript.pyannote[1790].end 10767.27659375
transcript.pyannote[1791].speaker SPEAKER_20
transcript.pyannote[1791].start 10767.54659375
transcript.pyannote[1791].end 10768.87971875
transcript.pyannote[1792].speaker SPEAKER_20
transcript.pyannote[1792].start 10769.82471875
transcript.pyannote[1792].end 10777.03034375
transcript.pyannote[1793].speaker SPEAKER_20
transcript.pyannote[1793].start 10777.43534375
transcript.pyannote[1793].end 10781.51909375
transcript.pyannote[1794].speaker SPEAKER_20
transcript.pyannote[1794].start 10781.72159375
transcript.pyannote[1794].end 10784.37096875
transcript.pyannote[1795].speaker SPEAKER_20
transcript.pyannote[1795].start 10784.82659375
transcript.pyannote[1795].end 10792.38659375
transcript.pyannote[1796].speaker SPEAKER_20
transcript.pyannote[1796].start 10793.09534375
transcript.pyannote[1796].end 10794.32721875
transcript.pyannote[1797].speaker SPEAKER_20
transcript.pyannote[1797].start 10794.49596875
transcript.pyannote[1797].end 10795.35659375
transcript.pyannote[1798].speaker SPEAKER_20
transcript.pyannote[1798].start 10795.72784375
transcript.pyannote[1798].end 10796.03159375
transcript.pyannote[1799].speaker SPEAKER_20
transcript.pyannote[1799].start 10797.16221875
transcript.pyannote[1799].end 10798.36034375
transcript.pyannote[1800].speaker SPEAKER_20
transcript.pyannote[1800].start 10799.99721875
transcript.pyannote[1800].end 10802.39346875
transcript.pyannote[1801].speaker SPEAKER_20
transcript.pyannote[1801].start 10803.27096875
transcript.pyannote[1801].end 10806.12284375
transcript.pyannote[1802].speaker SPEAKER_20
transcript.pyannote[1802].start 10806.34221875
transcript.pyannote[1802].end 10808.09721875
transcript.pyannote[1803].speaker SPEAKER_20
transcript.pyannote[1803].start 10808.50221875
transcript.pyannote[1803].end 10810.15596875
transcript.pyannote[1804].speaker SPEAKER_20
transcript.pyannote[1804].start 10811.30346875
transcript.pyannote[1804].end 10812.82221875
transcript.pyannote[1805].speaker SPEAKER_20
transcript.pyannote[1805].start 10813.71659375
transcript.pyannote[1805].end 10820.92221875
transcript.pyannote[1806].speaker SPEAKER_20
transcript.pyannote[1806].start 10821.51284375
transcript.pyannote[1806].end 10821.96846875
transcript.pyannote[1807].speaker SPEAKER_20
transcript.pyannote[1807].start 10822.79534375
transcript.pyannote[1807].end 10827.43596875
transcript.pyannote[1808].speaker SPEAKER_20
transcript.pyannote[1808].start 10828.26284375
transcript.pyannote[1808].end 10830.89534375
transcript.pyannote[1809].speaker SPEAKER_20
transcript.pyannote[1809].start 10831.19909375
transcript.pyannote[1809].end 10831.80659375
transcript.pyannote[1810].speaker SPEAKER_20
transcript.pyannote[1810].start 10833.19034375
transcript.pyannote[1810].end 10833.67971875
transcript.pyannote[1811].speaker SPEAKER_20
transcript.pyannote[1811].start 10834.45596875
transcript.pyannote[1811].end 10835.38409375
transcript.pyannote[1812].speaker SPEAKER_20
transcript.pyannote[1812].start 10835.82284375
transcript.pyannote[1812].end 10840.76721875
transcript.pyannote[1813].speaker SPEAKER_20
transcript.pyannote[1813].start 10841.22284375
transcript.pyannote[1813].end 10842.57284375
transcript.pyannote[1814].speaker SPEAKER_20
transcript.pyannote[1814].start 10843.48409375
transcript.pyannote[1814].end 10845.91409375
transcript.pyannote[1815].speaker SPEAKER_20
transcript.pyannote[1815].start 10846.57221875
transcript.pyannote[1815].end 10846.87596875
transcript.pyannote[1816].speaker SPEAKER_20
transcript.pyannote[1816].start 10847.39909375
transcript.pyannote[1816].end 10850.97659375
transcript.pyannote[1817].speaker SPEAKER_20
transcript.pyannote[1817].start 10851.83721875
transcript.pyannote[1817].end 10867.59846875
transcript.pyannote[1818].speaker SPEAKER_20
transcript.pyannote[1818].start 10868.10471875
transcript.pyannote[1818].end 10876.12034375
transcript.pyannote[1819].speaker SPEAKER_20
transcript.pyannote[1819].start 10876.23846875
transcript.pyannote[1819].end 10880.65971875
transcript.pyannote[1820].speaker SPEAKER_20
transcript.pyannote[1820].start 10880.82846875
transcript.pyannote[1820].end 10900.96034375
transcript.pyannote[1821].speaker SPEAKER_20
transcript.pyannote[1821].start 10901.51721875
transcript.pyannote[1821].end 10907.11971875
transcript.pyannote[1822].speaker SPEAKER_20
transcript.pyannote[1822].start 10907.79471875
transcript.pyannote[1822].end 10916.21534375
transcript.pyannote[1823].speaker SPEAKER_20
transcript.pyannote[1823].start 10916.53596875
transcript.pyannote[1823].end 10917.91971875
transcript.pyannote[1824].speaker SPEAKER_20
transcript.pyannote[1824].start 10918.32471875
transcript.pyannote[1824].end 10926.40784375
transcript.pyannote[1825].speaker SPEAKER_20
transcript.pyannote[1825].start 10926.45846875
transcript.pyannote[1825].end 10929.29346875
transcript.pyannote[1826].speaker SPEAKER_20
transcript.pyannote[1826].start 10929.47909375
transcript.pyannote[1826].end 10932.49971875
transcript.pyannote[1827].speaker SPEAKER_20
transcript.pyannote[1827].start 10933.00596875
transcript.pyannote[1827].end 10935.08159375
transcript.pyannote[1828].speaker SPEAKER_20
transcript.pyannote[1828].start 10935.43596875
transcript.pyannote[1828].end 10939.26659375
transcript.pyannote[1829].speaker SPEAKER_20
transcript.pyannote[1829].start 10939.63784375
transcript.pyannote[1829].end 10941.20721875
transcript.pyannote[1830].speaker SPEAKER_20
transcript.pyannote[1830].start 10942.52346875
transcript.pyannote[1830].end 10946.79284375
transcript.pyannote[1831].speaker SPEAKER_20
transcript.pyannote[1831].start 10947.65346875
transcript.pyannote[1831].end 10952.10846875
transcript.pyannote[1832].speaker SPEAKER_20
transcript.pyannote[1832].start 10952.61471875
transcript.pyannote[1832].end 10980.20534375
transcript.pyannote[1833].speaker SPEAKER_20
transcript.pyannote[1833].start 10980.47534375
transcript.pyannote[1833].end 10989.18284375
transcript.pyannote[1834].speaker SPEAKER_20
transcript.pyannote[1834].start 10989.75659375
transcript.pyannote[1834].end 10990.73534375
transcript.pyannote[1835].speaker SPEAKER_20
transcript.pyannote[1835].start 10991.42721875
transcript.pyannote[1835].end 10993.35096875
transcript.pyannote[1836].speaker SPEAKER_20
transcript.pyannote[1836].start 10993.57034375
transcript.pyannote[1836].end 10994.17784375
transcript.pyannote[1837].speaker SPEAKER_20
transcript.pyannote[1837].start 10994.90346875
transcript.pyannote[1837].end 10996.37159375
transcript.pyannote[1838].speaker SPEAKER_20
transcript.pyannote[1838].start 10996.91159375
transcript.pyannote[1838].end 10997.95784375
transcript.pyannote[1839].speaker SPEAKER_20
transcript.pyannote[1839].start 10998.83534375
transcript.pyannote[1839].end 10999.10534375
transcript.pyannote[1840].speaker SPEAKER_20
transcript.pyannote[1840].start 10999.56096875
transcript.pyannote[1840].end 11000.59034375
transcript.pyannote[1841].speaker SPEAKER_20
transcript.pyannote[1841].start 11001.14721875
transcript.pyannote[1841].end 11005.48409375
transcript.pyannote[1842].speaker SPEAKER_20
transcript.pyannote[1842].start 11005.90596875
transcript.pyannote[1842].end 11010.86721875
transcript.pyannote[1843].speaker SPEAKER_20
transcript.pyannote[1843].start 11011.28909375
transcript.pyannote[1843].end 11012.82471875
transcript.pyannote[1844].speaker SPEAKER_20
transcript.pyannote[1844].start 11012.87534375
transcript.pyannote[1844].end 11014.54596875
transcript.pyannote[1845].speaker SPEAKER_20
transcript.pyannote[1845].start 11014.59659375
transcript.pyannote[1845].end 11015.32221875
transcript.pyannote[1846].speaker SPEAKER_20
transcript.pyannote[1846].start 11015.82846875
transcript.pyannote[1846].end 11017.44846875
transcript.pyannote[1847].speaker SPEAKER_20
transcript.pyannote[1847].start 11019.76034375
transcript.pyannote[1847].end 11020.43534375
transcript.pyannote[1848].speaker SPEAKER_20
transcript.pyannote[1848].start 11020.78971875
transcript.pyannote[1848].end 11022.29159375
transcript.pyannote[1849].speaker SPEAKER_20
transcript.pyannote[1849].start 11022.62909375
transcript.pyannote[1849].end 11023.20284375
transcript.pyannote[1850].speaker SPEAKER_20
transcript.pyannote[1850].start 11024.19846875
transcript.pyannote[1850].end 11024.58659375
transcript.pyannote[1851].speaker SPEAKER_20
transcript.pyannote[1851].start 11024.97471875
transcript.pyannote[1851].end 11027.23596875
transcript.pyannote[1852].speaker SPEAKER_20
transcript.pyannote[1852].start 11027.33721875
transcript.pyannote[1852].end 11027.75909375
transcript.pyannote[1853].speaker SPEAKER_20
transcript.pyannote[1853].start 11028.16409375
transcript.pyannote[1853].end 11030.44221875
transcript.pyannote[1854].speaker SPEAKER_20
transcript.pyannote[1854].start 11030.89784375
transcript.pyannote[1854].end 11038.13721875
transcript.pyannote[1855].speaker SPEAKER_20
transcript.pyannote[1855].start 11038.64346875
transcript.pyannote[1855].end 11047.24971875
transcript.pyannote[1856].speaker SPEAKER_20
transcript.pyannote[1856].start 11048.14409375
transcript.pyannote[1856].end 11048.43096875
transcript.pyannote[1857].speaker SPEAKER_20
transcript.pyannote[1857].start 11048.66721875
transcript.pyannote[1857].end 11049.25784375
transcript.pyannote[1858].speaker SPEAKER_20
transcript.pyannote[1858].start 11049.62909375
transcript.pyannote[1858].end 11052.10971875
transcript.pyannote[1859].speaker SPEAKER_20
transcript.pyannote[1859].start 11052.98721875
transcript.pyannote[1859].end 11055.40034375
transcript.pyannote[1860].speaker SPEAKER_20
transcript.pyannote[1860].start 11055.75471875
transcript.pyannote[1860].end 11059.19721875
transcript.pyannote[1861].speaker SPEAKER_20
transcript.pyannote[1861].start 11059.63596875
transcript.pyannote[1861].end 11063.85471875
transcript.pyannote[1862].speaker SPEAKER_20
transcript.pyannote[1862].start 11064.73221875
transcript.pyannote[1862].end 11073.42284375
transcript.pyannote[1863].speaker SPEAKER_20
transcript.pyannote[1863].start 11074.43534375
transcript.pyannote[1863].end 11089.65659375
transcript.pyannote[1864].speaker SPEAKER_20
transcript.pyannote[1864].start 11090.06159375
transcript.pyannote[1864].end 11091.47909375
transcript.pyannote[1865].speaker SPEAKER_20
transcript.pyannote[1865].start 11091.74909375
transcript.pyannote[1865].end 11093.30159375
transcript.pyannote[1866].speaker SPEAKER_20
transcript.pyannote[1866].start 11094.16221875
transcript.pyannote[1866].end 11095.88346875
transcript.pyannote[1867].speaker SPEAKER_20
transcript.pyannote[1867].start 11097.13221875
transcript.pyannote[1867].end 11100.32159375
transcript.pyannote[1868].speaker SPEAKER_20
transcript.pyannote[1868].start 11100.38909375
transcript.pyannote[1868].end 11102.54909375
transcript.pyannote[1869].speaker SPEAKER_20
transcript.pyannote[1869].start 11103.12284375
transcript.pyannote[1869].end 11110.44659375
transcript.pyannote[1870].speaker SPEAKER_20
transcript.pyannote[1870].start 11111.08784375
transcript.pyannote[1870].end 11112.31971875
transcript.pyannote[1871].speaker SPEAKER_20
transcript.pyannote[1871].start 11112.58971875
transcript.pyannote[1871].end 11113.58534375
transcript.pyannote[1872].speaker SPEAKER_20
transcript.pyannote[1872].start 11113.66971875
transcript.pyannote[1872].end 11116.35284375
transcript.pyannote[1873].speaker SPEAKER_20
transcript.pyannote[1873].start 11116.53846875
transcript.pyannote[1873].end 11122.71471875
transcript.pyannote[1874].speaker SPEAKER_20
transcript.pyannote[1874].start 11122.86659375
transcript.pyannote[1874].end 11124.03096875
transcript.pyannote[1875].speaker SPEAKER_20
transcript.pyannote[1875].start 11124.06471875
transcript.pyannote[1875].end 11126.64659375
transcript.pyannote[1876].speaker SPEAKER_20
transcript.pyannote[1876].start 11126.79846875
transcript.pyannote[1876].end 11129.41409375
transcript.pyannote[1877].speaker SPEAKER_20
transcript.pyannote[1877].start 11129.63346875
transcript.pyannote[1877].end 11129.73471875
transcript.pyannote[1878].speaker SPEAKER_20
transcript.pyannote[1878].start 11131.06784375
transcript.pyannote[1878].end 11131.43909375
transcript.pyannote[1879].speaker SPEAKER_20
transcript.pyannote[1879].start 11131.92846875
transcript.pyannote[1879].end 11133.43034375
transcript.pyannote[1880].speaker SPEAKER_20
transcript.pyannote[1880].start 11134.25721875
transcript.pyannote[1880].end 11135.13471875
transcript.pyannote[1881].speaker SPEAKER_20
transcript.pyannote[1881].start 11135.35409375
transcript.pyannote[1881].end 11138.17221875
transcript.pyannote[1882].speaker SPEAKER_20
transcript.pyannote[1882].start 11138.61096875
transcript.pyannote[1882].end 11141.54721875
transcript.pyannote[1883].speaker SPEAKER_20
transcript.pyannote[1883].start 11141.58096875
transcript.pyannote[1883].end 11141.59784375
transcript.pyannote[1884].speaker SPEAKER_20
transcript.pyannote[1884].start 11141.71596875
transcript.pyannote[1884].end 11144.61846875
transcript.pyannote[1885].speaker SPEAKER_20
transcript.pyannote[1885].start 11145.24284375
transcript.pyannote[1885].end 11147.41971875
transcript.pyannote[1886].speaker SPEAKER_20
transcript.pyannote[1886].start 11148.34784375
transcript.pyannote[1886].end 11148.73596875
transcript.pyannote[1887].speaker SPEAKER_20
transcript.pyannote[1887].start 11149.46159375
transcript.pyannote[1887].end 11151.28409375
transcript.pyannote[1888].speaker SPEAKER_20
transcript.pyannote[1888].start 11151.70596875
transcript.pyannote[1888].end 11158.45596875
transcript.pyannote[1889].speaker SPEAKER_20
transcript.pyannote[1889].start 11158.82721875
transcript.pyannote[1889].end 11170.11659375
transcript.pyannote[1890].speaker SPEAKER_20
transcript.pyannote[1890].start 11171.26409375
transcript.pyannote[1890].end 11174.26784375
transcript.pyannote[1891].speaker SPEAKER_20
transcript.pyannote[1891].start 11174.85846875
transcript.pyannote[1891].end 11177.86221875
transcript.pyannote[1892].speaker SPEAKER_20
transcript.pyannote[1892].start 11178.67221875
transcript.pyannote[1892].end 11183.00909375
transcript.pyannote[1893].speaker SPEAKER_20
transcript.pyannote[1893].start 11183.61659375
transcript.pyannote[1893].end 11186.38409375
transcript.pyannote[1894].speaker SPEAKER_20
transcript.pyannote[1894].start 11186.87346875
transcript.pyannote[1894].end 11187.31221875
transcript.pyannote[1895].speaker SPEAKER_20
transcript.pyannote[1895].start 11188.24034375
transcript.pyannote[1895].end 11189.01659375
transcript.pyannote[1896].speaker SPEAKER_20
transcript.pyannote[1896].start 11189.82659375
transcript.pyannote[1896].end 11190.19784375
transcript.pyannote[1897].speaker SPEAKER_20
transcript.pyannote[1897].start 11190.85596875
transcript.pyannote[1897].end 11193.65721875
transcript.pyannote[1898].speaker SPEAKER_20
transcript.pyannote[1898].start 11193.94409375
transcript.pyannote[1898].end 11195.04096875
transcript.pyannote[1899].speaker SPEAKER_20
transcript.pyannote[1899].start 11195.32784375
transcript.pyannote[1899].end 11196.22221875
transcript.pyannote[1900].speaker SPEAKER_20
transcript.pyannote[1900].start 11196.61034375
transcript.pyannote[1900].end 11197.77471875
transcript.pyannote[1901].speaker SPEAKER_20
transcript.pyannote[1901].start 11198.02784375
transcript.pyannote[1901].end 11202.44909375
transcript.pyannote[1902].speaker SPEAKER_20
transcript.pyannote[1902].start 11202.65159375
transcript.pyannote[1902].end 11203.25909375
transcript.pyannote[1903].speaker SPEAKER_20
transcript.pyannote[1903].start 11203.68096875
transcript.pyannote[1903].end 11204.10284375
transcript.pyannote[1904].speaker SPEAKER_20
transcript.pyannote[1904].start 11205.08159375
transcript.pyannote[1904].end 11208.94596875
transcript.pyannote[1905].speaker SPEAKER_20
transcript.pyannote[1905].start 11209.38471875
transcript.pyannote[1905].end 11212.01721875
transcript.pyannote[1906].speaker SPEAKER_25
transcript.pyannote[1906].start 11212.54034375
transcript.pyannote[1906].end 11214.63284375
transcript.pyannote[1907].speaker SPEAKER_25
transcript.pyannote[1907].start 11214.93659375
transcript.pyannote[1907].end 11246.35784375
transcript.pyannote[1908].speaker SPEAKER_20
transcript.pyannote[1908].start 11245.86846875
transcript.pyannote[1908].end 11247.64034375
transcript.pyannote[1909].speaker SPEAKER_16
transcript.pyannote[1909].start 11249.19284375
transcript.pyannote[1909].end 11254.17096875
transcript.pyannote[1910].speaker SPEAKER_20
transcript.pyannote[1910].start 11253.68159375
transcript.pyannote[1910].end 11262.54096875
transcript.pyannote[1911].speaker SPEAKER_20
transcript.pyannote[1911].start 11263.31721875
transcript.pyannote[1911].end 11263.72221875
transcript.pyannote[1912].speaker SPEAKER_20
transcript.pyannote[1912].start 11263.80659375
transcript.pyannote[1912].end 11269.57784375
transcript.pyannote[1913].speaker SPEAKER_20
transcript.pyannote[1913].start 11269.88159375
transcript.pyannote[1913].end 11276.34471875
transcript.pyannote[1914].speaker SPEAKER_20
transcript.pyannote[1914].start 11276.93534375
transcript.pyannote[1914].end 11284.59659375
transcript.pyannote[1915].speaker SPEAKER_20
transcript.pyannote[1915].start 11285.23784375
transcript.pyannote[1915].end 11300.91471875
transcript.pyannote[1916].speaker SPEAKER_20
transcript.pyannote[1916].start 11301.45471875
transcript.pyannote[1916].end 11313.97596875
transcript.pyannote[1917].speaker SPEAKER_20
transcript.pyannote[1917].start 11314.24596875
transcript.pyannote[1917].end 11330.51346875
transcript.pyannote[1918].speaker SPEAKER_20
transcript.pyannote[1918].start 11330.96909375
transcript.pyannote[1918].end 11334.41159375
transcript.pyannote[1919].speaker SPEAKER_06
transcript.pyannote[1919].start 11333.55096875
transcript.pyannote[1919].end 11334.05721875
transcript.pyannote[1920].speaker SPEAKER_06
transcript.pyannote[1920].start 11334.41159375
transcript.pyannote[1920].end 11337.46596875
transcript.pyannote[1921].speaker SPEAKER_06
transcript.pyannote[1921].start 11338.10721875
transcript.pyannote[1921].end 11340.50346875
transcript.pyannote[1922].speaker SPEAKER_06
transcript.pyannote[1922].start 11340.97596875
transcript.pyannote[1922].end 11343.60846875
transcript.pyannote[1923].speaker SPEAKER_06
transcript.pyannote[1923].start 11344.03034375
transcript.pyannote[1923].end 11346.79784375
transcript.pyannote[1924].speaker SPEAKER_06
transcript.pyannote[1924].start 11346.88221875
transcript.pyannote[1924].end 11349.31221875
transcript.pyannote[1925].speaker SPEAKER_19
transcript.pyannote[1925].start 11355.69096875
transcript.pyannote[1925].end 11356.65284375
transcript.pyannote[1926].speaker SPEAKER_19
transcript.pyannote[1926].start 11358.22221875
transcript.pyannote[1926].end 11359.38659375
transcript.pyannote[1927].speaker SPEAKER_03
transcript.pyannote[1927].start 11359.62284375
transcript.pyannote[1927].end 11374.28721875
transcript.pyannote[1928].speaker SPEAKER_06
transcript.pyannote[1928].start 11369.29221875
transcript.pyannote[1928].end 11370.64221875
transcript.pyannote[1929].speaker SPEAKER_00
transcript.pyannote[1929].start 11370.64221875
transcript.pyannote[1929].end 11370.74346875
transcript.pyannote[1930].speaker SPEAKER_00
transcript.pyannote[1930].start 11372.56596875
transcript.pyannote[1930].end 11372.61659375
transcript.pyannote[1931].speaker SPEAKER_06
transcript.pyannote[1931].start 11372.61659375
transcript.pyannote[1931].end 11373.15659375
transcript.pyannote[1932].speaker SPEAKER_00
transcript.pyannote[1932].start 11373.15659375
transcript.pyannote[1932].end 11373.17346875
transcript.pyannote[1933].speaker SPEAKER_03
transcript.pyannote[1933].start 11374.75971875
transcript.pyannote[1933].end 11374.82721875
transcript.pyannote[1934].speaker SPEAKER_06
transcript.pyannote[1934].start 11374.82721875
transcript.pyannote[1934].end 11375.92409375
transcript.pyannote[1935].speaker SPEAKER_03
transcript.pyannote[1935].start 11379.97409375
transcript.pyannote[1935].end 11383.43346875
transcript.pyannote[1936].speaker SPEAKER_18
transcript.pyannote[1936].start 11382.85971875
transcript.pyannote[1936].end 11383.31534375
transcript.pyannote[1937].speaker SPEAKER_03
transcript.pyannote[1937].start 11383.55159375
transcript.pyannote[1937].end 11385.96471875
transcript.pyannote[1938].speaker SPEAKER_03
transcript.pyannote[1938].start 11386.33596875
transcript.pyannote[1938].end 11394.36846875
transcript.pyannote[1939].speaker SPEAKER_03
transcript.pyannote[1939].start 11394.72284375
transcript.pyannote[1939].end 11397.74346875
transcript.pyannote[1940].speaker SPEAKER_03
transcript.pyannote[1940].start 11397.99659375
transcript.pyannote[1940].end 11406.46784375
transcript.pyannote[1941].speaker SPEAKER_16
transcript.pyannote[1941].start 11408.02034375
transcript.pyannote[1941].end 11412.47534375
transcript.pyannote[1942].speaker SPEAKER_16
transcript.pyannote[1942].start 11412.94784375
transcript.pyannote[1942].end 11416.23846875
transcript.pyannote[1943].speaker SPEAKER_03
transcript.pyannote[1943].start 11414.23034375
transcript.pyannote[1943].end 11414.97284375
transcript.pyannote[1944].speaker SPEAKER_03
transcript.pyannote[1944].start 11415.05721875
transcript.pyannote[1944].end 11415.46221875
transcript.pyannote[1945].speaker SPEAKER_16
transcript.pyannote[1945].start 11416.39034375
transcript.pyannote[1945].end 11427.46034375
transcript.pyannote[1946].speaker SPEAKER_03
transcript.pyannote[1946].start 11421.62159375
transcript.pyannote[1946].end 11421.70596875
transcript.pyannote[1947].speaker SPEAKER_03
transcript.pyannote[1947].start 11422.17846875
transcript.pyannote[1947].end 11422.97159375
transcript.pyannote[1948].speaker SPEAKER_00
transcript.pyannote[1948].start 11424.38909375
transcript.pyannote[1948].end 11424.92909375
transcript.pyannote[1949].speaker SPEAKER_00
transcript.pyannote[1949].start 11425.80659375
transcript.pyannote[1949].end 11425.87409375
transcript.pyannote[1950].speaker SPEAKER_16
transcript.pyannote[1950].start 11427.59534375
transcript.pyannote[1950].end 11428.11846875
transcript.pyannote[1951].speaker SPEAKER_16
transcript.pyannote[1951].start 11428.82721875
transcript.pyannote[1951].end 11432.43846875
transcript.pyannote[1952].speaker SPEAKER_16
transcript.pyannote[1952].start 11432.91096875
transcript.pyannote[1952].end 11437.23096875
transcript.pyannote[1953].speaker SPEAKER_03
transcript.pyannote[1953].start 11437.23096875
transcript.pyannote[1953].end 11437.78784375
transcript.pyannote[1954].speaker SPEAKER_16
transcript.pyannote[1954].start 11437.26471875
transcript.pyannote[1954].end 11437.77096875
transcript.pyannote[1955].speaker SPEAKER_16
transcript.pyannote[1955].start 11437.78784375
transcript.pyannote[1955].end 11438.02409375
transcript.pyannote[1956].speaker SPEAKER_03
transcript.pyannote[1956].start 11438.02409375
transcript.pyannote[1956].end 11438.71596875
transcript.pyannote[1957].speaker SPEAKER_16
transcript.pyannote[1957].start 11438.71596875
transcript.pyannote[1957].end 11438.91846875
transcript.pyannote[1958].speaker SPEAKER_03
transcript.pyannote[1958].start 11438.91846875
transcript.pyannote[1958].end 11440.89284375
transcript.pyannote[1959].speaker SPEAKER_03
transcript.pyannote[1959].start 11441.51721875
transcript.pyannote[1959].end 11443.40721875
transcript.pyannote[1960].speaker SPEAKER_03
transcript.pyannote[1960].start 11444.57159375
transcript.pyannote[1960].end 11445.11159375
transcript.pyannote[1961].speaker SPEAKER_16
transcript.pyannote[1961].start 11445.11159375
transcript.pyannote[1961].end 11445.88784375
transcript.pyannote[1962].speaker SPEAKER_03
transcript.pyannote[1962].start 11445.12846875
transcript.pyannote[1962].end 11445.97221875
transcript.pyannote[1963].speaker SPEAKER_16
transcript.pyannote[1963].start 11445.97221875
transcript.pyannote[1963].end 11446.29284375
transcript.pyannote[1964].speaker SPEAKER_16
transcript.pyannote[1964].start 11446.44471875
transcript.pyannote[1964].end 11448.72284375
transcript.pyannote[1965].speaker SPEAKER_16
transcript.pyannote[1965].start 11449.51596875
transcript.pyannote[1965].end 11449.88721875
transcript.pyannote[1966].speaker SPEAKER_16
transcript.pyannote[1966].start 11450.34284375
transcript.pyannote[1966].end 11454.74721875
transcript.pyannote[1967].speaker SPEAKER_03
transcript.pyannote[1967].start 11453.58284375
transcript.pyannote[1967].end 11454.69659375
transcript.pyannote[1968].speaker SPEAKER_03
transcript.pyannote[1968].start 11454.74721875
transcript.pyannote[1968].end 11454.89909375
transcript.pyannote[1969].speaker SPEAKER_16
transcript.pyannote[1969].start 11454.89909375
transcript.pyannote[1969].end 11455.03409375
transcript.pyannote[1970].speaker SPEAKER_03
transcript.pyannote[1970].start 11455.03409375
transcript.pyannote[1970].end 11455.05096875
transcript.pyannote[1971].speaker SPEAKER_16
transcript.pyannote[1971].start 11455.05096875
transcript.pyannote[1971].end 11463.25221875
transcript.pyannote[1972].speaker SPEAKER_03
transcript.pyannote[1972].start 11455.54034375
transcript.pyannote[1972].end 11455.91159375
transcript.pyannote[1973].speaker SPEAKER_03
transcript.pyannote[1973].start 11463.25221875
transcript.pyannote[1973].end 11473.22534375
transcript.pyannote[1974].speaker SPEAKER_16
transcript.pyannote[1974].start 11463.26909375
transcript.pyannote[1974].end 11463.91034375
transcript.pyannote[1975].speaker SPEAKER_03
transcript.pyannote[1975].start 11473.68096875
transcript.pyannote[1975].end 11477.14034375
transcript.pyannote[1976].speaker SPEAKER_16
transcript.pyannote[1976].start 11476.87034375
transcript.pyannote[1976].end 11483.65409375
transcript.pyannote[1977].speaker SPEAKER_03
transcript.pyannote[1977].start 11483.65409375
transcript.pyannote[1977].end 11487.19784375
transcript.pyannote[1978].speaker SPEAKER_16
transcript.pyannote[1978].start 11483.87346875
transcript.pyannote[1978].end 11484.04221875
transcript.pyannote[1979].speaker SPEAKER_03
transcript.pyannote[1979].start 11487.36659375
transcript.pyannote[1979].end 11494.04909375
transcript.pyannote[1980].speaker SPEAKER_03
transcript.pyannote[1980].start 11494.33596875
transcript.pyannote[1980].end 11496.05721875
transcript.pyannote[1981].speaker SPEAKER_03
transcript.pyannote[1981].start 11496.95159375
transcript.pyannote[1981].end 11497.98096875
transcript.pyannote[1982].speaker SPEAKER_09
transcript.pyannote[1982].start 11497.03596875
transcript.pyannote[1982].end 11497.23846875
transcript.pyannote[1983].speaker SPEAKER_09
transcript.pyannote[1983].start 11498.14971875
transcript.pyannote[1983].end 11498.52096875
transcript.pyannote[1984].speaker SPEAKER_03
transcript.pyannote[1984].start 11498.90909375
transcript.pyannote[1984].end 11501.81159375
transcript.pyannote[1985].speaker SPEAKER_09
transcript.pyannote[1985].start 11501.60909375
transcript.pyannote[1985].end 11508.96659375
transcript.pyannote[1986].speaker SPEAKER_03
transcript.pyannote[1986].start 11505.50721875
transcript.pyannote[1986].end 11506.94159375
transcript.pyannote[1987].speaker SPEAKER_03
transcript.pyannote[1987].start 11508.96659375
transcript.pyannote[1987].end 11515.71659375
transcript.pyannote[1988].speaker SPEAKER_09
transcript.pyannote[1988].start 11509.97909375
transcript.pyannote[1988].end 11510.56971875
transcript.pyannote[1989].speaker SPEAKER_03
transcript.pyannote[1989].start 11515.90221875
transcript.pyannote[1989].end 11517.06659375
transcript.pyannote[1990].speaker SPEAKER_03
transcript.pyannote[1990].start 11517.25221875
transcript.pyannote[1990].end 11518.11284375
transcript.pyannote[1991].speaker SPEAKER_03
transcript.pyannote[1991].start 11518.46721875
transcript.pyannote[1991].end 11524.67721875
transcript.pyannote[1992].speaker SPEAKER_03
transcript.pyannote[1992].start 11525.70659375
transcript.pyannote[1992].end 11527.49534375
transcript.pyannote[1993].speaker SPEAKER_03
transcript.pyannote[1993].start 11527.66409375
transcript.pyannote[1993].end 11529.01409375
transcript.pyannote[1994].speaker SPEAKER_03
transcript.pyannote[1994].start 11529.63846875
transcript.pyannote[1994].end 11532.15284375
transcript.pyannote[1995].speaker SPEAKER_03
transcript.pyannote[1995].start 11532.42284375
transcript.pyannote[1995].end 11534.07659375
transcript.pyannote[1996].speaker SPEAKER_03
transcript.pyannote[1996].start 11534.71784375
transcript.pyannote[1996].end 11536.99596875
transcript.pyannote[1997].speaker SPEAKER_03
transcript.pyannote[1997].start 11537.26596875
transcript.pyannote[1997].end 11539.13909375
transcript.pyannote[1998].speaker SPEAKER_03
transcript.pyannote[1998].start 11539.27409375
transcript.pyannote[1998].end 11540.35409375
transcript.pyannote[1999].speaker SPEAKER_03
transcript.pyannote[1999].start 11540.53971875
transcript.pyannote[1999].end 11542.05846875
transcript.pyannote[2000].speaker SPEAKER_03
transcript.pyannote[2000].start 11542.31159375
transcript.pyannote[2000].end 11543.89784375
transcript.pyannote[2001].speaker SPEAKER_03
transcript.pyannote[2001].start 11544.23534375
transcript.pyannote[2001].end 11544.70784375
transcript.pyannote[2002].speaker SPEAKER_03
transcript.pyannote[2002].start 11544.97784375
transcript.pyannote[2002].end 11546.00721875
transcript.pyannote[2003].speaker SPEAKER_03
transcript.pyannote[2003].start 11546.90159375
transcript.pyannote[2003].end 11555.64284375
transcript.pyannote[2004].speaker SPEAKER_25
transcript.pyannote[2004].start 11546.98596875
transcript.pyannote[2004].end 11547.17159375
transcript.pyannote[2005].speaker SPEAKER_25
transcript.pyannote[2005].start 11549.63534375
transcript.pyannote[2005].end 11549.82096875
transcript.pyannote[2006].speaker SPEAKER_25
transcript.pyannote[2006].start 11550.22596875
transcript.pyannote[2006].end 11551.25534375
transcript.pyannote[2007].speaker SPEAKER_25
transcript.pyannote[2007].start 11552.72346875
transcript.pyannote[2007].end 11553.53346875
transcript.pyannote[2008].speaker SPEAKER_25
transcript.pyannote[2008].start 11555.64284375
transcript.pyannote[2008].end 11555.65971875
transcript.pyannote[2009].speaker SPEAKER_03
transcript.pyannote[2009].start 11557.09409375
transcript.pyannote[2009].end 11557.11096875
transcript.pyannote[2010].speaker SPEAKER_25
transcript.pyannote[2010].start 11557.11096875
transcript.pyannote[2010].end 11557.65096875
transcript.pyannote[2011].speaker SPEAKER_25
transcript.pyannote[2011].start 11558.37659375
transcript.pyannote[2011].end 11563.03409375
transcript.pyannote[2012].speaker SPEAKER_03
transcript.pyannote[2012].start 11563.03409375
transcript.pyannote[2012].end 11575.47096875
transcript.pyannote[2013].speaker SPEAKER_25
transcript.pyannote[2013].start 11564.24909375
transcript.pyannote[2013].end 11564.67096875
transcript.pyannote[2014].speaker SPEAKER_03
transcript.pyannote[2014].start 11575.60596875
transcript.pyannote[2014].end 11582.77784375
transcript.pyannote[2015].speaker SPEAKER_25
transcript.pyannote[2015].start 11576.92221875
transcript.pyannote[2015].end 11578.81221875
transcript.pyannote[2016].speaker SPEAKER_03
transcript.pyannote[2016].start 11583.14909375
transcript.pyannote[2016].end 11591.02971875
transcript.pyannote[2017].speaker SPEAKER_03
transcript.pyannote[2017].start 11591.08034375
transcript.pyannote[2017].end 11607.83721875
transcript.pyannote[2018].speaker SPEAKER_09
transcript.pyannote[2018].start 11610.04784375
transcript.pyannote[2018].end 11610.31784375
transcript.pyannote[2019].speaker SPEAKER_09
transcript.pyannote[2019].start 11610.62159375
transcript.pyannote[2019].end 11620.03784375
transcript.pyannote[2020].speaker SPEAKER_03
transcript.pyannote[2020].start 11619.43034375
transcript.pyannote[2020].end 11623.71659375
transcript.pyannote[2021].speaker SPEAKER_09
transcript.pyannote[2021].start 11622.55221875
transcript.pyannote[2021].end 11627.07471875
transcript.pyannote[2022].speaker SPEAKER_03
transcript.pyannote[2022].start 11626.87221875
transcript.pyannote[2022].end 11630.44971875
transcript.pyannote[2023].speaker SPEAKER_03
transcript.pyannote[2023].start 11631.02346875
transcript.pyannote[2023].end 11632.30596875
transcript.pyannote[2024].speaker SPEAKER_03
transcript.pyannote[2024].start 11632.55909375
transcript.pyannote[2024].end 11634.58409375
transcript.pyannote[2025].speaker SPEAKER_03
transcript.pyannote[2025].start 11635.05659375
transcript.pyannote[2025].end 11636.72721875
transcript.pyannote[2026].speaker SPEAKER_03
transcript.pyannote[2026].start 11636.86221875
transcript.pyannote[2026].end 11638.22909375
transcript.pyannote[2027].speaker SPEAKER_03
transcript.pyannote[2027].start 11638.51596875
transcript.pyannote[2027].end 11642.93721875
transcript.pyannote[2028].speaker SPEAKER_03
transcript.pyannote[2028].start 11642.97096875
transcript.pyannote[2028].end 11645.55284375
transcript.pyannote[2029].speaker SPEAKER_03
transcript.pyannote[2029].start 11645.83971875
transcript.pyannote[2029].end 11650.66596875
transcript.pyannote[2030].speaker SPEAKER_16
transcript.pyannote[2030].start 11651.57721875
transcript.pyannote[2030].end 11651.76284375
transcript.pyannote[2031].speaker SPEAKER_16
transcript.pyannote[2031].start 11652.69096875
transcript.pyannote[2031].end 11653.02846875
transcript.pyannote[2032].speaker SPEAKER_03
transcript.pyannote[2032].start 11653.85534375
transcript.pyannote[2032].end 11654.34471875
transcript.pyannote[2033].speaker SPEAKER_09
transcript.pyannote[2033].start 11654.51346875
transcript.pyannote[2033].end 11658.42846875
transcript.pyannote[2034].speaker SPEAKER_03
transcript.pyannote[2034].start 11655.07034375
transcript.pyannote[2034].end 11655.66096875
transcript.pyannote[2035].speaker SPEAKER_03
transcript.pyannote[2035].start 11657.97284375
transcript.pyannote[2035].end 11658.54659375
transcript.pyannote[2036].speaker SPEAKER_03
transcript.pyannote[2036].start 11658.63096875
transcript.pyannote[2036].end 11671.74284375
transcript.pyannote[2037].speaker SPEAKER_03
transcript.pyannote[2037].start 11673.29534375
transcript.pyannote[2037].end 11674.07159375
transcript.pyannote[2038].speaker SPEAKER_16
transcript.pyannote[2038].start 11674.07159375
transcript.pyannote[2038].end 11675.35409375
transcript.pyannote[2039].speaker SPEAKER_03
transcript.pyannote[2039].start 11675.15159375
transcript.pyannote[2039].end 11682.40784375
transcript.pyannote[2040].speaker SPEAKER_03
transcript.pyannote[2040].start 11682.69471875
transcript.pyannote[2040].end 11685.81659375
transcript.pyannote[2041].speaker SPEAKER_03
transcript.pyannote[2041].start 11685.90096875
transcript.pyannote[2041].end 11694.50721875
transcript.pyannote[2042].speaker SPEAKER_03
transcript.pyannote[2042].start 11694.94596875
transcript.pyannote[2042].end 11698.35471875
transcript.pyannote[2043].speaker SPEAKER_03
transcript.pyannote[2043].start 11698.69221875
transcript.pyannote[2043].end 11699.18159375
transcript.pyannote[2044].speaker SPEAKER_03
transcript.pyannote[2044].start 11699.45159375
transcript.pyannote[2044].end 11700.46409375
transcript.pyannote[2045].speaker SPEAKER_03
transcript.pyannote[2045].start 11703.36659375
transcript.pyannote[2045].end 11710.26846875
transcript.pyannote[2046].speaker SPEAKER_03
transcript.pyannote[2046].start 11710.63971875
transcript.pyannote[2046].end 11717.86221875
transcript.pyannote[2047].speaker SPEAKER_03
transcript.pyannote[2047].start 11718.23346875
transcript.pyannote[2047].end 11721.40596875
transcript.pyannote[2048].speaker SPEAKER_03
transcript.pyannote[2048].start 11721.43971875
transcript.pyannote[2048].end 11725.79346875
transcript.pyannote[2049].speaker SPEAKER_03
transcript.pyannote[2049].start 11725.84409375
transcript.pyannote[2049].end 11727.04221875
transcript.pyannote[2050].speaker SPEAKER_03
transcript.pyannote[2050].start 11727.49784375
transcript.pyannote[2050].end 11731.58159375
transcript.pyannote[2051].speaker SPEAKER_03
transcript.pyannote[2051].start 11731.95284375
transcript.pyannote[2051].end 11732.86409375
transcript.pyannote[2052].speaker SPEAKER_03
transcript.pyannote[2052].start 11733.48846875
transcript.pyannote[2052].end 11734.88909375
transcript.pyannote[2053].speaker SPEAKER_03
transcript.pyannote[2053].start 11735.41221875
transcript.pyannote[2053].end 11742.41534375
transcript.pyannote[2054].speaker SPEAKER_03
transcript.pyannote[2054].start 11742.95534375
transcript.pyannote[2054].end 11746.36409375
transcript.pyannote[2055].speaker SPEAKER_03
transcript.pyannote[2055].start 11746.85346875
transcript.pyannote[2055].end 11750.95409375
transcript.pyannote[2056].speaker SPEAKER_03
transcript.pyannote[2056].start 11751.78096875
transcript.pyannote[2056].end 11753.73846875
transcript.pyannote[2057].speaker SPEAKER_03
transcript.pyannote[2057].start 11753.97471875
transcript.pyannote[2057].end 11755.69596875
transcript.pyannote[2058].speaker SPEAKER_16
transcript.pyannote[2058].start 11755.69596875
transcript.pyannote[2058].end 11759.76284375
transcript.pyannote[2059].speaker SPEAKER_03
transcript.pyannote[2059].start 11759.76284375
transcript.pyannote[2059].end 11760.28596875
transcript.pyannote[2060].speaker SPEAKER_03
transcript.pyannote[2060].start 11760.79221875
transcript.pyannote[2060].end 11764.20096875
transcript.pyannote[2061].speaker SPEAKER_03
transcript.pyannote[2061].start 11764.57221875
transcript.pyannote[2061].end 11771.13659375
transcript.pyannote[2062].speaker SPEAKER_03
transcript.pyannote[2062].start 11773.06034375
transcript.pyannote[2062].end 11773.07721875
transcript.pyannote[2063].speaker SPEAKER_16
transcript.pyannote[2063].start 11773.07721875
transcript.pyannote[2063].end 11774.19096875
transcript.pyannote[2064].speaker SPEAKER_16
transcript.pyannote[2064].start 11774.66346875
transcript.pyannote[2064].end 11780.63721875
transcript.pyannote[2065].speaker SPEAKER_16
transcript.pyannote[2065].start 11781.19409375
transcript.pyannote[2065].end 11784.18096875
transcript.pyannote[2066].speaker SPEAKER_03
transcript.pyannote[2066].start 11784.18096875
transcript.pyannote[2066].end 11792.66909375
transcript.pyannote[2067].speaker SPEAKER_03
transcript.pyannote[2067].start 11793.10784375
transcript.pyannote[2067].end 11794.08659375
transcript.pyannote[2068].speaker SPEAKER_03
transcript.pyannote[2068].start 11794.52534375
transcript.pyannote[2068].end 11796.02721875
transcript.pyannote[2069].speaker SPEAKER_03
transcript.pyannote[2069].start 11796.29721875
transcript.pyannote[2069].end 11805.13971875
transcript.pyannote[2070].speaker SPEAKER_03
transcript.pyannote[2070].start 11806.38846875
transcript.pyannote[2070].end 11814.52221875
transcript.pyannote[2071].speaker SPEAKER_03
transcript.pyannote[2071].start 11814.84284375
transcript.pyannote[2071].end 11820.98534375
transcript.pyannote[2072].speaker SPEAKER_03
transcript.pyannote[2072].start 11821.13721875
transcript.pyannote[2072].end 11824.74846875
transcript.pyannote[2073].speaker SPEAKER_16
transcript.pyannote[2073].start 11826.08159375
transcript.pyannote[2073].end 11829.38909375
transcript.pyannote[2074].speaker SPEAKER_16
transcript.pyannote[2074].start 11829.87846875
transcript.pyannote[2074].end 11832.20721875
transcript.pyannote[2075].speaker SPEAKER_03
transcript.pyannote[2075].start 11832.12284375
transcript.pyannote[2075].end 11840.42534375
transcript.pyannote[2076].speaker SPEAKER_03
transcript.pyannote[2076].start 11840.67846875
transcript.pyannote[2076].end 11850.12846875
transcript.pyannote[2077].speaker SPEAKER_03
transcript.pyannote[2077].start 11850.82034375
transcript.pyannote[2077].end 11854.17846875
transcript.pyannote[2078].speaker SPEAKER_04
transcript.pyannote[2078].start 11854.17846875
transcript.pyannote[2078].end 11854.41471875
transcript.pyannote[2079].speaker SPEAKER_03
transcript.pyannote[2079].start 11854.41471875
transcript.pyannote[2079].end 11867.96534375
transcript.pyannote[2080].speaker SPEAKER_04
transcript.pyannote[2080].start 11854.43159375
transcript.pyannote[2080].end 11854.51596875
transcript.pyannote[2081].speaker SPEAKER_16
transcript.pyannote[2081].start 11867.96534375
transcript.pyannote[2081].end 11868.03284375
transcript.pyannote[2082].speaker SPEAKER_03
transcript.pyannote[2082].start 11868.03284375
transcript.pyannote[2082].end 11868.97784375
transcript.pyannote[2083].speaker SPEAKER_16
transcript.pyannote[2083].start 11868.97784375
transcript.pyannote[2083].end 11869.02846875
transcript.pyannote[2084].speaker SPEAKER_03
transcript.pyannote[2084].start 11869.02846875
transcript.pyannote[2084].end 11869.97346875
transcript.pyannote[2085].speaker SPEAKER_16
transcript.pyannote[2085].start 11869.97346875
transcript.pyannote[2085].end 11870.02409375
transcript.pyannote[2086].speaker SPEAKER_03
transcript.pyannote[2086].start 11870.02409375
transcript.pyannote[2086].end 11870.96909375
transcript.pyannote[2087].speaker SPEAKER_16
transcript.pyannote[2087].start 11870.96909375
transcript.pyannote[2087].end 11871.03659375
transcript.pyannote[2088].speaker SPEAKER_03
transcript.pyannote[2088].start 11871.03659375
transcript.pyannote[2088].end 11871.96471875
transcript.pyannote[2089].speaker SPEAKER_16
transcript.pyannote[2089].start 11871.96471875
transcript.pyannote[2089].end 11872.03221875
transcript.pyannote[2090].speaker SPEAKER_03
transcript.pyannote[2090].start 11872.03221875
transcript.pyannote[2090].end 11877.02721875
transcript.pyannote[2091].speaker SPEAKER_03
transcript.pyannote[2091].start 11877.28034375
transcript.pyannote[2091].end 11881.02659375
transcript.pyannote[2092].speaker SPEAKER_21
transcript.pyannote[2092].start 11881.87034375
transcript.pyannote[2092].end 11881.90409375
transcript.pyannote[2093].speaker SPEAKER_26
transcript.pyannote[2093].start 11881.90409375
transcript.pyannote[2093].end 11882.00534375
transcript.pyannote[2094].speaker SPEAKER_21
transcript.pyannote[2094].start 11882.00534375
transcript.pyannote[2094].end 11882.02221875
transcript.pyannote[2095].speaker SPEAKER_03
transcript.pyannote[2095].start 11882.02221875
transcript.pyannote[2095].end 11889.09284375
transcript.pyannote[2096].speaker SPEAKER_16
transcript.pyannote[2096].start 11889.09284375
transcript.pyannote[2096].end 11890.91534375
transcript.pyannote[2097].speaker SPEAKER_16
transcript.pyannote[2097].start 11890.96596875
transcript.pyannote[2097].end 11898.50909375
transcript.pyannote[2098].speaker SPEAKER_03
transcript.pyannote[2098].start 11896.26471875
transcript.pyannote[2098].end 11897.31096875
transcript.pyannote[2099].speaker SPEAKER_03
transcript.pyannote[2099].start 11897.41221875
transcript.pyannote[2099].end 11905.95096875
transcript.pyannote[2100].speaker SPEAKER_03
transcript.pyannote[2100].start 11906.27159375
transcript.pyannote[2100].end 11915.94096875
transcript.pyannote[2101].speaker SPEAKER_03
transcript.pyannote[2101].start 11916.12659375
transcript.pyannote[2101].end 11918.43846875
transcript.pyannote[2102].speaker SPEAKER_03
transcript.pyannote[2102].start 11918.50596875
transcript.pyannote[2102].end 11927.11221875
transcript.pyannote[2103].speaker SPEAKER_03
transcript.pyannote[2103].start 11927.71971875
transcript.pyannote[2103].end 11933.92971875
transcript.pyannote[2104].speaker SPEAKER_03
transcript.pyannote[2104].start 11934.08159375
transcript.pyannote[2104].end 11936.79846875
transcript.pyannote[2105].speaker SPEAKER_03
transcript.pyannote[2105].start 11936.91659375
transcript.pyannote[2105].end 11939.00909375
transcript.pyannote[2106].speaker SPEAKER_03
transcript.pyannote[2106].start 11939.27909375
transcript.pyannote[2106].end 11943.49784375
transcript.pyannote[2107].speaker SPEAKER_16
transcript.pyannote[2107].start 11943.85221875
transcript.pyannote[2107].end 11943.91971875
transcript.pyannote[2108].speaker SPEAKER_03
transcript.pyannote[2108].start 11943.91971875
transcript.pyannote[2108].end 11947.09221875
transcript.pyannote[2109].speaker SPEAKER_03
transcript.pyannote[2109].start 11947.53096875
transcript.pyannote[2109].end 11949.03284375
transcript.pyannote[2110].speaker SPEAKER_03
transcript.pyannote[2110].start 11949.80909375
transcript.pyannote[2110].end 11957.58846875
transcript.pyannote[2111].speaker SPEAKER_03
transcript.pyannote[2111].start 11957.82471875
transcript.pyannote[2111].end 11961.26721875
transcript.pyannote[2112].speaker SPEAKER_03
transcript.pyannote[2112].start 11961.94221875
transcript.pyannote[2112].end 11962.87034375
transcript.pyannote[2113].speaker SPEAKER_16
transcript.pyannote[2113].start 11963.07284375
transcript.pyannote[2113].end 11963.59596875
transcript.pyannote[2114].speaker SPEAKER_03
transcript.pyannote[2114].start 11963.68034375
transcript.pyannote[2114].end 11966.16096875
transcript.pyannote[2115].speaker SPEAKER_03
transcript.pyannote[2115].start 11966.75159375
transcript.pyannote[2115].end 11968.05096875
transcript.pyannote[2116].speaker SPEAKER_16
transcript.pyannote[2116].start 11969.45159375
transcript.pyannote[2116].end 11969.77221875
transcript.pyannote[2117].speaker SPEAKER_03
transcript.pyannote[2117].start 11969.77221875
transcript.pyannote[2117].end 11969.78909375
transcript.pyannote[2118].speaker SPEAKER_03
transcript.pyannote[2118].start 11970.32909375
transcript.pyannote[2118].end 11970.53159375
transcript.pyannote[2119].speaker SPEAKER_03
transcript.pyannote[2119].start 11970.75096875
transcript.pyannote[2119].end 11974.44659375
transcript.pyannote[2120].speaker SPEAKER_03
transcript.pyannote[2120].start 11975.72909375
transcript.pyannote[2120].end 11975.84721875
transcript.pyannote[2121].speaker SPEAKER_16
transcript.pyannote[2121].start 11976.10034375
transcript.pyannote[2121].end 11976.11721875
transcript.pyannote[2122].speaker SPEAKER_03
transcript.pyannote[2122].start 11976.11721875
transcript.pyannote[2122].end 11976.13409375
transcript.pyannote[2123].speaker SPEAKER_16
transcript.pyannote[2123].start 11976.13409375
transcript.pyannote[2123].end 11976.15096875
transcript.pyannote[2124].speaker SPEAKER_03
transcript.pyannote[2124].start 11976.15096875
transcript.pyannote[2124].end 11980.48784375
transcript.pyannote[2125].speaker SPEAKER_03
transcript.pyannote[2125].start 11980.70721875
transcript.pyannote[2125].end 11984.38596875
transcript.pyannote[2126].speaker SPEAKER_03
transcript.pyannote[2126].start 11984.80784375
transcript.pyannote[2126].end 11986.27596875
transcript.pyannote[2127].speaker SPEAKER_03
transcript.pyannote[2127].start 11986.64721875
transcript.pyannote[2127].end 11987.55846875
transcript.pyannote[2128].speaker SPEAKER_03
transcript.pyannote[2128].start 11987.92971875
transcript.pyannote[2128].end 11990.46096875
transcript.pyannote[2129].speaker SPEAKER_03
transcript.pyannote[2129].start 11990.47784375
transcript.pyannote[2129].end 11992.99221875
transcript.pyannote[2130].speaker SPEAKER_03
transcript.pyannote[2130].start 11993.21159375
transcript.pyannote[2130].end 11995.35471875
transcript.pyannote[2131].speaker SPEAKER_03
transcript.pyannote[2131].start 11995.70909375
transcript.pyannote[2131].end 11997.80159375
transcript.pyannote[2132].speaker SPEAKER_16
transcript.pyannote[2132].start 11997.80159375
transcript.pyannote[2132].end 11998.25721875
transcript.pyannote[2133].speaker SPEAKER_16
transcript.pyannote[2133].start 11998.34159375
transcript.pyannote[2133].end 11998.44284375
transcript.pyannote[2134].speaker SPEAKER_03
transcript.pyannote[2134].start 11998.44284375
transcript.pyannote[2134].end 11998.47659375
transcript.pyannote[2135].speaker SPEAKER_16
transcript.pyannote[2135].start 11998.47659375
transcript.pyannote[2135].end 11998.49346875
transcript.pyannote[2136].speaker SPEAKER_03
transcript.pyannote[2136].start 11998.49346875
transcript.pyannote[2136].end 11998.52721875
transcript.pyannote[2137].speaker SPEAKER_16
transcript.pyannote[2137].start 11998.52721875
transcript.pyannote[2137].end 11999.38784375
transcript.pyannote[2138].speaker SPEAKER_03
transcript.pyannote[2138].start 11998.62846875
transcript.pyannote[2138].end 12004.51784375
transcript.pyannote[2139].speaker SPEAKER_03
transcript.pyannote[2139].start 12004.83846875
transcript.pyannote[2139].end 12017.35971875
transcript.pyannote[2140].speaker SPEAKER_18
transcript.pyannote[2140].start 12017.46096875
transcript.pyannote[2140].end 12017.56221875
transcript.pyannote[2141].speaker SPEAKER_12
transcript.pyannote[2141].start 12017.56221875
transcript.pyannote[2141].end 12018.06846875
transcript.pyannote[2142].speaker SPEAKER_03
transcript.pyannote[2142].start 12017.98409375
transcript.pyannote[2142].end 12019.57034375
transcript.pyannote[2143].speaker SPEAKER_03
transcript.pyannote[2143].start 12019.70534375
transcript.pyannote[2143].end 12030.57284375
transcript.pyannote[2144].speaker SPEAKER_16
transcript.pyannote[2144].start 12031.01159375
transcript.pyannote[2144].end 12031.06221875
transcript.pyannote[2145].speaker SPEAKER_03
transcript.pyannote[2145].start 12031.06221875
transcript.pyannote[2145].end 12031.23096875
transcript.pyannote[2146].speaker SPEAKER_16
transcript.pyannote[2146].start 12031.23096875
transcript.pyannote[2146].end 12035.83784375
transcript.pyannote[2147].speaker SPEAKER_03
transcript.pyannote[2147].start 12034.85909375
transcript.pyannote[2147].end 12035.14596875
transcript.pyannote[2148].speaker SPEAKER_03
transcript.pyannote[2148].start 12035.83784375
transcript.pyannote[2148].end 12038.74034375
transcript.pyannote[2149].speaker SPEAKER_03
transcript.pyannote[2149].start 12039.04409375
transcript.pyannote[2149].end 12055.00784375
transcript.pyannote[2150].speaker SPEAKER_03
transcript.pyannote[2150].start 12055.15971875
transcript.pyannote[2150].end 12058.82159375
transcript.pyannote[2151].speaker SPEAKER_00
transcript.pyannote[2151].start 12055.81784375
transcript.pyannote[2151].end 12055.86846875
transcript.pyannote[2152].speaker SPEAKER_03
transcript.pyannote[2152].start 12059.09159375
transcript.pyannote[2152].end 12063.74909375
transcript.pyannote[2153].speaker SPEAKER_03
transcript.pyannote[2153].start 12064.35659375
transcript.pyannote[2153].end 12074.63346875
transcript.pyannote[2154].speaker SPEAKER_16
transcript.pyannote[2154].start 12075.66284375
transcript.pyannote[2154].end 12079.47659375
transcript.pyannote[2155].speaker SPEAKER_16
transcript.pyannote[2155].start 12080.08409375
transcript.pyannote[2155].end 12080.21909375
transcript.pyannote[2156].speaker SPEAKER_03
transcript.pyannote[2156].start 12080.21909375
transcript.pyannote[2156].end 12082.69971875
transcript.pyannote[2157].speaker SPEAKER_16
transcript.pyannote[2157].start 12080.23596875
transcript.pyannote[2157].end 12080.97846875
transcript.pyannote[2158].speaker SPEAKER_03
transcript.pyannote[2158].start 12082.96971875
transcript.pyannote[2158].end 12084.13409375
transcript.pyannote[2159].speaker SPEAKER_03
transcript.pyannote[2159].start 12084.84284375
transcript.pyannote[2159].end 12088.60596875
transcript.pyannote[2160].speaker SPEAKER_03
transcript.pyannote[2160].start 12088.85909375
transcript.pyannote[2160].end 12090.17534375
transcript.pyannote[2161].speaker SPEAKER_03
transcript.pyannote[2161].start 12090.34409375
transcript.pyannote[2161].end 12092.38596875
transcript.pyannote[2162].speaker SPEAKER_03
transcript.pyannote[2162].start 12093.34784375
transcript.pyannote[2162].end 12093.75284375
transcript.pyannote[2163].speaker SPEAKER_11
transcript.pyannote[2163].start 12093.90471875
transcript.pyannote[2163].end 12109.39596875
transcript.pyannote[2164].speaker SPEAKER_26
transcript.pyannote[2164].start 12109.22721875
transcript.pyannote[2164].end 12109.98659375
transcript.pyannote[2165].speaker SPEAKER_11
transcript.pyannote[2165].start 12109.63221875
transcript.pyannote[2165].end 12109.69971875
transcript.pyannote[2166].speaker SPEAKER_11
transcript.pyannote[2166].start 12110.13846875
transcript.pyannote[2166].end 12131.60346875
transcript.pyannote[2167].speaker SPEAKER_03
transcript.pyannote[2167].start 12127.01346875
transcript.pyannote[2167].end 12129.03846875
transcript.pyannote[2168].speaker SPEAKER_03
transcript.pyannote[2168].start 12131.33346875
transcript.pyannote[2168].end 12136.19346875
transcript.pyannote[2169].speaker SPEAKER_03
transcript.pyannote[2169].start 12136.31159375
transcript.pyannote[2169].end 12140.36159375
transcript.pyannote[2170].speaker SPEAKER_03
transcript.pyannote[2170].start 12140.95221875
transcript.pyannote[2170].end 12144.19221875
transcript.pyannote[2171].speaker SPEAKER_03
transcript.pyannote[2171].start 12144.59721875
transcript.pyannote[2171].end 12147.55034375
transcript.pyannote[2172].speaker SPEAKER_03
transcript.pyannote[2172].start 12147.93846875
transcript.pyannote[2172].end 12152.88284375
transcript.pyannote[2173].speaker SPEAKER_03
transcript.pyannote[2173].start 12153.47346875
transcript.pyannote[2173].end 12155.51534375
transcript.pyannote[2174].speaker SPEAKER_03
transcript.pyannote[2174].start 12155.88659375
transcript.pyannote[2174].end 12162.36659375
transcript.pyannote[2175].speaker SPEAKER_03
transcript.pyannote[2175].start 12162.85596875
transcript.pyannote[2175].end 12163.27784375
transcript.pyannote[2176].speaker SPEAKER_11
transcript.pyannote[2176].start 12163.85159375
transcript.pyannote[2176].end 12167.83409375
transcript.pyannote[2177].speaker SPEAKER_03
transcript.pyannote[2177].start 12166.28159375
transcript.pyannote[2177].end 12167.22659375
transcript.pyannote[2178].speaker SPEAKER_03
transcript.pyannote[2178].start 12167.29409375
transcript.pyannote[2178].end 12170.38221875
transcript.pyannote[2179].speaker SPEAKER_11
transcript.pyannote[2179].start 12170.53409375
transcript.pyannote[2179].end 12170.65221875
transcript.pyannote[2180].speaker SPEAKER_11
transcript.pyannote[2180].start 12170.97284375
transcript.pyannote[2180].end 12173.62221875
transcript.pyannote[2181].speaker SPEAKER_03
transcript.pyannote[2181].start 12173.62221875
transcript.pyannote[2181].end 12175.61346875
transcript.pyannote[2182].speaker SPEAKER_03
transcript.pyannote[2182].start 12175.95096875
transcript.pyannote[2182].end 12182.04284375
transcript.pyannote[2183].speaker SPEAKER_03
transcript.pyannote[2183].start 12182.12721875
transcript.pyannote[2183].end 12189.43409375
transcript.pyannote[2184].speaker SPEAKER_11
transcript.pyannote[2184].start 12190.15971875
transcript.pyannote[2184].end 12191.67846875
transcript.pyannote[2185].speaker SPEAKER_03
transcript.pyannote[2185].start 12191.66159375
transcript.pyannote[2185].end 12194.66534375
transcript.pyannote[2186].speaker SPEAKER_03
transcript.pyannote[2186].start 12194.91846875
transcript.pyannote[2186].end 12196.92659375
transcript.pyannote[2187].speaker SPEAKER_03
transcript.pyannote[2187].start 12197.17971875
transcript.pyannote[2187].end 12199.23846875
transcript.pyannote[2188].speaker SPEAKER_03
transcript.pyannote[2188].start 12200.62221875
transcript.pyannote[2188].end 12203.91284375
transcript.pyannote[2189].speaker SPEAKER_03
transcript.pyannote[2189].start 12204.41909375
transcript.pyannote[2189].end 12205.93784375
transcript.pyannote[2190].speaker SPEAKER_03
transcript.pyannote[2190].start 12206.20784375
transcript.pyannote[2190].end 12207.76034375
transcript.pyannote[2191].speaker SPEAKER_03
transcript.pyannote[2191].start 12208.18221875
transcript.pyannote[2191].end 12213.51471875
transcript.pyannote[2192].speaker SPEAKER_03
transcript.pyannote[2192].start 12214.08846875
transcript.pyannote[2192].end 12214.86471875
transcript.pyannote[2193].speaker SPEAKER_03
transcript.pyannote[2193].start 12214.94909375
transcript.pyannote[2193].end 12216.90659375
transcript.pyannote[2194].speaker SPEAKER_03
transcript.pyannote[2194].start 12217.19346875
transcript.pyannote[2194].end 12219.48846875
transcript.pyannote[2195].speaker SPEAKER_16
transcript.pyannote[2195].start 12217.42971875
transcript.pyannote[2195].end 12221.68221875
transcript.pyannote[2196].speaker SPEAKER_03
transcript.pyannote[2196].start 12221.68221875
transcript.pyannote[2196].end 12221.73284375
transcript.pyannote[2197].speaker SPEAKER_16
transcript.pyannote[2197].start 12221.73284375
transcript.pyannote[2197].end 12222.84659375
transcript.pyannote[2198].speaker SPEAKER_03
transcript.pyannote[2198].start 12222.52596875
transcript.pyannote[2198].end 12226.30596875
transcript.pyannote[2199].speaker SPEAKER_16
transcript.pyannote[2199].start 12226.40721875
transcript.pyannote[2199].end 12228.58409375
transcript.pyannote[2200].speaker SPEAKER_03
transcript.pyannote[2200].start 12228.31409375
transcript.pyannote[2200].end 12229.91721875
transcript.pyannote[2201].speaker SPEAKER_16
transcript.pyannote[2201].start 12230.69346875
transcript.pyannote[2201].end 12233.15721875
transcript.pyannote[2202].speaker SPEAKER_16
transcript.pyannote[2202].start 12233.27534375
transcript.pyannote[2202].end 12234.11909375
transcript.pyannote[2203].speaker SPEAKER_03
transcript.pyannote[2203].start 12233.52846875
transcript.pyannote[2203].end 12237.54471875
transcript.pyannote[2204].speaker SPEAKER_03
transcript.pyannote[2204].start 12237.66284375
transcript.pyannote[2204].end 12239.83971875
transcript.pyannote[2205].speaker SPEAKER_03
transcript.pyannote[2205].start 12240.63284375
transcript.pyannote[2205].end 12245.61096875
transcript.pyannote[2206].speaker SPEAKER_16
transcript.pyannote[2206].start 12245.07096875
transcript.pyannote[2206].end 12248.66534375
transcript.pyannote[2207].speaker SPEAKER_03
transcript.pyannote[2207].start 12248.64846875
transcript.pyannote[2207].end 12249.54284375
transcript.pyannote[2208].speaker SPEAKER_03
transcript.pyannote[2208].start 12250.09971875
transcript.pyannote[2208].end 12250.90971875
transcript.pyannote[2209].speaker SPEAKER_03
transcript.pyannote[2209].start 12251.24721875
transcript.pyannote[2209].end 12255.04409375
transcript.pyannote[2210].speaker SPEAKER_03
transcript.pyannote[2210].start 12255.28034375
transcript.pyannote[2210].end 12256.20846875
transcript.pyannote[2211].speaker SPEAKER_03
transcript.pyannote[2211].start 12256.59659375
transcript.pyannote[2211].end 12257.38971875
transcript.pyannote[2212].speaker SPEAKER_03
transcript.pyannote[2212].start 12258.03096875
transcript.pyannote[2212].end 12259.17846875
transcript.pyannote[2213].speaker SPEAKER_03
transcript.pyannote[2213].start 12259.51596875
transcript.pyannote[2213].end 12260.86596875
transcript.pyannote[2214].speaker SPEAKER_03
transcript.pyannote[2214].start 12261.22034375
transcript.pyannote[2214].end 12264.03846875
transcript.pyannote[2215].speaker SPEAKER_03
transcript.pyannote[2215].start 12264.24096875
transcript.pyannote[2215].end 12272.27346875
transcript.pyannote[2216].speaker SPEAKER_03
transcript.pyannote[2216].start 12272.40846875
transcript.pyannote[2216].end 12279.54659375
transcript.pyannote[2217].speaker SPEAKER_16
transcript.pyannote[2217].start 12280.42409375
transcript.pyannote[2217].end 12280.76159375
transcript.pyannote[2218].speaker SPEAKER_03
transcript.pyannote[2218].start 12280.89659375
transcript.pyannote[2218].end 12295.89846875
transcript.pyannote[2219].speaker SPEAKER_03
transcript.pyannote[2219].start 12295.98284375
transcript.pyannote[2219].end 12298.24409375
transcript.pyannote[2220].speaker SPEAKER_03
transcript.pyannote[2220].start 12298.61534375
transcript.pyannote[2220].end 12301.75409375
transcript.pyannote[2221].speaker SPEAKER_03
transcript.pyannote[2221].start 12302.27721875
transcript.pyannote[2221].end 12304.43721875
transcript.pyannote[2222].speaker SPEAKER_03
transcript.pyannote[2222].start 12304.79159375
transcript.pyannote[2222].end 12310.27596875
transcript.pyannote[2223].speaker SPEAKER_16
transcript.pyannote[2223].start 12310.54596875
transcript.pyannote[2223].end 12310.56284375
transcript.pyannote[2224].speaker SPEAKER_18
transcript.pyannote[2224].start 12310.56284375
transcript.pyannote[2224].end 12310.88346875
transcript.pyannote[2225].speaker SPEAKER_03
transcript.pyannote[2225].start 12310.91721875
transcript.pyannote[2225].end 12310.95096875
transcript.pyannote[2226].speaker SPEAKER_03
transcript.pyannote[2226].start 12311.05221875
transcript.pyannote[2226].end 12311.10284375
transcript.pyannote[2227].speaker SPEAKER_05
transcript.pyannote[2227].start 12311.10284375
transcript.pyannote[2227].end 12311.64284375
transcript.pyannote[2228].speaker SPEAKER_03
transcript.pyannote[2228].start 12311.79471875
transcript.pyannote[2228].end 12311.84534375
transcript.pyannote[2229].speaker SPEAKER_18
transcript.pyannote[2229].start 12311.84534375
transcript.pyannote[2229].end 12312.21659375
transcript.pyannote[2230].speaker SPEAKER_03
transcript.pyannote[2230].start 12312.43596875
transcript.pyannote[2230].end 12312.45284375
transcript.pyannote[2231].speaker SPEAKER_05
transcript.pyannote[2231].start 12312.45284375
transcript.pyannote[2231].end 12323.35409375
transcript.pyannote[2232].speaker SPEAKER_05
transcript.pyannote[2232].start 12326.86409375
transcript.pyannote[2232].end 12327.82596875
transcript.pyannote[2233].speaker SPEAKER_05
transcript.pyannote[2233].start 12332.17971875
transcript.pyannote[2233].end 12332.21346875
transcript.pyannote[2234].speaker SPEAKER_18
transcript.pyannote[2234].start 12332.21346875
transcript.pyannote[2234].end 12332.83784375
transcript.pyannote[2235].speaker SPEAKER_03
transcript.pyannote[2235].start 12332.31471875
transcript.pyannote[2235].end 12341.78159375
transcript.pyannote[2236].speaker SPEAKER_05
transcript.pyannote[2236].start 12332.83784375
transcript.pyannote[2236].end 12332.87159375
transcript.pyannote[2237].speaker SPEAKER_13
transcript.pyannote[2237].start 12341.91659375
transcript.pyannote[2237].end 12347.80596875
transcript.pyannote[2238].speaker SPEAKER_03
transcript.pyannote[2238].start 12347.36721875
transcript.pyannote[2238].end 12349.25721875
transcript.pyannote[2239].speaker SPEAKER_13
transcript.pyannote[2239].start 12348.58221875
transcript.pyannote[2239].end 12350.48909375
transcript.pyannote[2240].speaker SPEAKER_13
transcript.pyannote[2240].start 12354.20159375
transcript.pyannote[2240].end 12357.50909375
transcript.pyannote[2241].speaker SPEAKER_13
transcript.pyannote[2241].start 12358.42034375
transcript.pyannote[2241].end 12360.76596875
transcript.pyannote[2242].speaker SPEAKER_13
transcript.pyannote[2242].start 12360.90096875
transcript.pyannote[2242].end 12362.40284375
transcript.pyannote[2243].speaker SPEAKER_13
transcript.pyannote[2243].start 12362.77409375
transcript.pyannote[2243].end 12393.99284375
transcript.pyannote[2244].speaker SPEAKER_13
transcript.pyannote[2244].start 12394.29659375
transcript.pyannote[2244].end 12412.80846875
transcript.pyannote[2245].speaker SPEAKER_13
transcript.pyannote[2245].start 12413.44971875
transcript.pyannote[2245].end 12417.06096875
transcript.pyannote[2246].speaker SPEAKER_13
transcript.pyannote[2246].start 12417.98909375
transcript.pyannote[2246].end 12420.63846875
transcript.pyannote[2247].speaker SPEAKER_13
transcript.pyannote[2247].start 12421.02659375
transcript.pyannote[2247].end 12442.05284375
transcript.pyannote[2248].speaker SPEAKER_13
transcript.pyannote[2248].start 12442.76159375
transcript.pyannote[2248].end 12449.07284375
transcript.pyannote[2249].speaker SPEAKER_13
transcript.pyannote[2249].start 12449.44409375
transcript.pyannote[2249].end 12460.44659375
transcript.pyannote[2250].speaker SPEAKER_13
transcript.pyannote[2250].start 12460.69971875
transcript.pyannote[2250].end 12460.78409375
transcript.pyannote[2251].speaker SPEAKER_13
transcript.pyannote[2251].start 12460.81784375
transcript.pyannote[2251].end 12484.03784375
transcript.pyannote[2252].speaker SPEAKER_13
transcript.pyannote[2252].start 12485.18534375
transcript.pyannote[2252].end 12491.00721875
transcript.pyannote[2253].speaker SPEAKER_13
transcript.pyannote[2253].start 12491.69909375
transcript.pyannote[2253].end 12496.30596875
transcript.pyannote[2254].speaker SPEAKER_13
transcript.pyannote[2254].start 12496.64346875
transcript.pyannote[2254].end 12498.28034375
transcript.pyannote[2255].speaker SPEAKER_13
transcript.pyannote[2255].start 12499.19159375
transcript.pyannote[2255].end 12503.47784375
transcript.pyannote[2256].speaker SPEAKER_25
transcript.pyannote[2256].start 12504.77721875
transcript.pyannote[2256].end 12507.35909375
transcript.pyannote[2257].speaker SPEAKER_25
transcript.pyannote[2257].start 12507.51096875
transcript.pyannote[2257].end 12521.88846875
transcript.pyannote[2258].speaker SPEAKER_13
transcript.pyannote[2258].start 12521.55096875
transcript.pyannote[2258].end 12527.11971875
transcript.pyannote[2259].speaker SPEAKER_25
transcript.pyannote[2259].start 12527.49096875
transcript.pyannote[2259].end 12539.55659375
transcript.pyannote[2260].speaker SPEAKER_13
transcript.pyannote[2260].start 12534.12284375
transcript.pyannote[2260].end 12535.55721875
transcript.pyannote[2261].speaker SPEAKER_13
transcript.pyannote[2261].start 12536.90721875
transcript.pyannote[2261].end 12539.15159375
transcript.pyannote[2262].speaker SPEAKER_13
transcript.pyannote[2262].start 12539.55659375
transcript.pyannote[2262].end 12539.67471875
transcript.pyannote[2263].speaker SPEAKER_25
transcript.pyannote[2263].start 12539.67471875
transcript.pyannote[2263].end 12539.70846875
transcript.pyannote[2264].speaker SPEAKER_13
transcript.pyannote[2264].start 12539.70846875
transcript.pyannote[2264].end 12539.82659375
transcript.pyannote[2265].speaker SPEAKER_25
transcript.pyannote[2265].start 12539.82659375
transcript.pyannote[2265].end 12539.86034375
transcript.pyannote[2266].speaker SPEAKER_13
transcript.pyannote[2266].start 12539.86034375
transcript.pyannote[2266].end 12541.00784375
transcript.pyannote[2267].speaker SPEAKER_25
transcript.pyannote[2267].start 12540.11346875
transcript.pyannote[2267].end 12545.24346875
transcript.pyannote[2268].speaker SPEAKER_13
transcript.pyannote[2268].start 12543.35346875
transcript.pyannote[2268].end 12543.62346875
transcript.pyannote[2269].speaker SPEAKER_13
transcript.pyannote[2269].start 12543.99471875
transcript.pyannote[2269].end 12556.92096875
transcript.pyannote[2270].speaker SPEAKER_13
transcript.pyannote[2270].start 12557.34284375
transcript.pyannote[2270].end 12565.07159375
transcript.pyannote[2271].speaker SPEAKER_13
transcript.pyannote[2271].start 12565.10534375
transcript.pyannote[2271].end 12588.30846875
transcript.pyannote[2272].speaker SPEAKER_13
transcript.pyannote[2272].start 12588.83159375
transcript.pyannote[2272].end 12603.17534375
transcript.pyannote[2273].speaker SPEAKER_13
transcript.pyannote[2273].start 12603.58034375
transcript.pyannote[2273].end 12609.73971875
transcript.pyannote[2274].speaker SPEAKER_13
transcript.pyannote[2274].start 12610.24596875
transcript.pyannote[2274].end 12617.65409375
transcript.pyannote[2275].speaker SPEAKER_13
transcript.pyannote[2275].start 12618.24471875
transcript.pyannote[2275].end 12627.64409375
transcript.pyannote[2276].speaker SPEAKER_13
transcript.pyannote[2276].start 12627.94784375
transcript.pyannote[2276].end 12633.87096875
transcript.pyannote[2277].speaker SPEAKER_13
transcript.pyannote[2277].start 12634.91721875
transcript.pyannote[2277].end 12635.87909375
transcript.pyannote[2278].speaker SPEAKER_13
transcript.pyannote[2278].start 12636.18284375
transcript.pyannote[2278].end 12636.73971875
transcript.pyannote[2279].speaker SPEAKER_13
transcript.pyannote[2279].start 12638.57909375
transcript.pyannote[2279].end 12638.59596875
transcript.pyannote[2280].speaker SPEAKER_13
transcript.pyannote[2280].start 12638.61284375
transcript.pyannote[2280].end 12645.36284375
transcript.pyannote[2281].speaker SPEAKER_13
transcript.pyannote[2281].start 12645.68346875
transcript.pyannote[2281].end 12660.34784375
transcript.pyannote[2282].speaker SPEAKER_13
transcript.pyannote[2282].start 12660.46596875
transcript.pyannote[2282].end 12667.38471875
transcript.pyannote[2283].speaker SPEAKER_13
transcript.pyannote[2283].start 12667.80659375
transcript.pyannote[2283].end 12669.73034375
transcript.pyannote[2284].speaker SPEAKER_13
transcript.pyannote[2284].start 12670.13534375
transcript.pyannote[2284].end 12672.58221875
transcript.pyannote[2285].speaker SPEAKER_13
transcript.pyannote[2285].start 12673.54409375
transcript.pyannote[2285].end 12700.18971875
transcript.pyannote[2286].speaker SPEAKER_13
transcript.pyannote[2286].start 12700.62846875
transcript.pyannote[2286].end 12702.87284375
transcript.pyannote[2287].speaker SPEAKER_13
transcript.pyannote[2287].start 12703.95284375
transcript.pyannote[2287].end 12723.96659375
transcript.pyannote[2288].speaker SPEAKER_13
transcript.pyannote[2288].start 12725.26596875
transcript.pyannote[2288].end 12732.77534375
transcript.pyannote[2289].speaker SPEAKER_13
transcript.pyannote[2289].start 12733.55159375
transcript.pyannote[2289].end 12747.20346875
transcript.pyannote[2290].speaker SPEAKER_13
transcript.pyannote[2290].start 12747.91221875
transcript.pyannote[2290].end 12754.57784375
transcript.pyannote[2291].speaker SPEAKER_13
transcript.pyannote[2291].start 12754.79721875
transcript.pyannote[2291].end 12757.64909375
transcript.pyannote[2292].speaker SPEAKER_16
transcript.pyannote[2292].start 12757.64909375
transcript.pyannote[2292].end 12760.14659375
transcript.pyannote[2293].speaker SPEAKER_13
transcript.pyannote[2293].start 12759.84284375
transcript.pyannote[2293].end 12761.58096875
transcript.pyannote[2294].speaker SPEAKER_16
transcript.pyannote[2294].start 12761.02409375
transcript.pyannote[2294].end 12761.39534375
transcript.pyannote[2295].speaker SPEAKER_16
transcript.pyannote[2295].start 12762.44159375
transcript.pyannote[2295].end 12767.21721875
transcript.pyannote[2296].speaker SPEAKER_13
transcript.pyannote[2296].start 12766.52534375
transcript.pyannote[2296].end 12768.01034375
transcript.pyannote[2297].speaker SPEAKER_13
transcript.pyannote[2297].start 12768.98909375
transcript.pyannote[2297].end 12769.36034375
transcript.pyannote[2298].speaker SPEAKER_13
transcript.pyannote[2298].start 12769.84971875
transcript.pyannote[2298].end 12776.22846875
transcript.pyannote[2299].speaker SPEAKER_13
transcript.pyannote[2299].start 12776.53221875
transcript.pyannote[2299].end 12796.19159375
transcript.pyannote[2300].speaker SPEAKER_16
transcript.pyannote[2300].start 12796.76534375
transcript.pyannote[2300].end 12801.38909375
transcript.pyannote[2301].speaker SPEAKER_16
transcript.pyannote[2301].start 12801.86159375
transcript.pyannote[2301].end 12802.99221875
transcript.pyannote[2302].speaker SPEAKER_16
transcript.pyannote[2302].start 12803.00909375
transcript.pyannote[2302].end 12805.01721875
transcript.pyannote[2303].speaker SPEAKER_16
transcript.pyannote[2303].start 12805.70909375
transcript.pyannote[2303].end 12810.34971875
transcript.pyannote[2304].speaker SPEAKER_16
transcript.pyannote[2304].start 12810.80534375
transcript.pyannote[2304].end 12813.91034375
transcript.pyannote[2305].speaker SPEAKER_16
transcript.pyannote[2305].start 12814.14659375
transcript.pyannote[2305].end 12814.34909375
transcript.pyannote[2306].speaker SPEAKER_13
transcript.pyannote[2306].start 12814.56846875
transcript.pyannote[2306].end 12818.90534375
transcript.pyannote[2307].speaker SPEAKER_13
transcript.pyannote[2307].start 12819.78284375
transcript.pyannote[2307].end 12843.32346875
transcript.pyannote[2308].speaker SPEAKER_13
transcript.pyannote[2308].start 12844.45409375
transcript.pyannote[2308].end 12869.46284375
transcript.pyannote[2309].speaker SPEAKER_16
transcript.pyannote[2309].start 12869.46284375
transcript.pyannote[2309].end 12873.63096875
transcript.pyannote[2310].speaker SPEAKER_11
transcript.pyannote[2310].start 12873.63096875
transcript.pyannote[2310].end 12899.02784375
transcript.pyannote[2311].speaker SPEAKER_13
transcript.pyannote[2311].start 12899.02784375
transcript.pyannote[2311].end 12904.05659375
transcript.pyannote[2312].speaker SPEAKER_13
transcript.pyannote[2312].start 12904.49534375
transcript.pyannote[2312].end 12907.21221875
transcript.pyannote[2313].speaker SPEAKER_13
transcript.pyannote[2313].start 12907.76909375
transcript.pyannote[2313].end 12914.08034375
transcript.pyannote[2314].speaker SPEAKER_13
transcript.pyannote[2314].start 12914.31659375
transcript.pyannote[2314].end 12922.80471875
transcript.pyannote[2315].speaker SPEAKER_13
transcript.pyannote[2315].start 12923.24346875
transcript.pyannote[2315].end 12953.31471875
transcript.pyannote[2316].speaker SPEAKER_00
transcript.pyannote[2316].start 12923.41221875
transcript.pyannote[2316].end 12923.73284375
transcript.pyannote[2317].speaker SPEAKER_13
transcript.pyannote[2317].start 12953.83784375
transcript.pyannote[2317].end 12965.04284375
transcript.pyannote[2318].speaker SPEAKER_13
transcript.pyannote[2318].start 12965.38034375
transcript.pyannote[2318].end 12986.10284375
transcript.pyannote[2319].speaker SPEAKER_13
transcript.pyannote[2319].start 12986.82846875
transcript.pyannote[2319].end 12989.24159375
transcript.pyannote[2320].speaker SPEAKER_13
transcript.pyannote[2320].start 12989.56221875
transcript.pyannote[2320].end 12996.24471875
transcript.pyannote[2321].speaker SPEAKER_13
transcript.pyannote[2321].start 12996.41346875
transcript.pyannote[2321].end 12998.03346875
transcript.pyannote[2322].speaker SPEAKER_13
transcript.pyannote[2322].start 12998.84346875
transcript.pyannote[2322].end 13011.65159375
transcript.pyannote[2323].speaker SPEAKER_13
transcript.pyannote[2323].start 13012.10721875
transcript.pyannote[2323].end 13034.65221875
transcript.pyannote[2324].speaker SPEAKER_13
transcript.pyannote[2324].start 13035.05721875
transcript.pyannote[2324].end 13037.94284375
transcript.pyannote[2325].speaker SPEAKER_13
transcript.pyannote[2325].start 13038.73596875
transcript.pyannote[2325].end 13040.77784375
transcript.pyannote[2326].speaker SPEAKER_13
transcript.pyannote[2326].start 13041.43596875
transcript.pyannote[2326].end 13055.37471875
transcript.pyannote[2327].speaker SPEAKER_13
transcript.pyannote[2327].start 13055.74596875
transcript.pyannote[2327].end 13061.48346875
transcript.pyannote[2328].speaker SPEAKER_13
transcript.pyannote[2328].start 13061.88846875
transcript.pyannote[2328].end 13070.73096875
transcript.pyannote[2329].speaker SPEAKER_03
transcript.pyannote[2329].start 13070.81534375
transcript.pyannote[2329].end 13081.19346875
transcript.pyannote[2330].speaker SPEAKER_21
transcript.pyannote[2330].start 13087.94346875
transcript.pyannote[2330].end 13089.54659375
transcript.pyannote[2331].speaker SPEAKER_03
transcript.pyannote[2331].start 13088.02784375
transcript.pyannote[2331].end 13088.39909375
transcript.pyannote[2332].speaker SPEAKER_21
transcript.pyannote[2332].start 13089.78284375
transcript.pyannote[2332].end 13090.79534375
transcript.pyannote[2333].speaker SPEAKER_21
transcript.pyannote[2333].start 13091.20034375
transcript.pyannote[2333].end 13092.16221875
transcript.pyannote[2334].speaker SPEAKER_21
transcript.pyannote[2334].start 13092.61784375
transcript.pyannote[2334].end 13097.32596875
transcript.pyannote[2335].speaker SPEAKER_03
transcript.pyannote[2335].start 13097.68034375
transcript.pyannote[2335].end 13099.21596875
transcript.pyannote[2336].speaker SPEAKER_21
transcript.pyannote[2336].start 13103.41784375
transcript.pyannote[2336].end 13103.95784375
transcript.pyannote[2337].speaker SPEAKER_03
transcript.pyannote[2337].start 13104.90284375
transcript.pyannote[2337].end 13105.13909375
transcript.pyannote[2338].speaker SPEAKER_25
transcript.pyannote[2338].start 13105.13909375
transcript.pyannote[2338].end 13105.22346875
transcript.pyannote[2339].speaker SPEAKER_03
transcript.pyannote[2339].start 13105.22346875
transcript.pyannote[2339].end 13105.47659375
transcript.pyannote[2340].speaker SPEAKER_21
transcript.pyannote[2340].start 13106.18534375
transcript.pyannote[2340].end 13107.38346875
transcript.pyannote[2341].speaker SPEAKER_21
transcript.pyannote[2341].start 13108.68284375
transcript.pyannote[2341].end 13110.18471875
transcript.pyannote[2342].speaker SPEAKER_21
transcript.pyannote[2342].start 13110.74159375
transcript.pyannote[2342].end 13112.41221875
transcript.pyannote[2343].speaker SPEAKER_21
transcript.pyannote[2343].start 13113.86346875
transcript.pyannote[2343].end 13115.51721875
transcript.pyannote[2344].speaker SPEAKER_21
transcript.pyannote[2344].start 13116.51284375
transcript.pyannote[2344].end 13119.36471875
transcript.pyannote[2345].speaker SPEAKER_21
transcript.pyannote[2345].start 13120.10721875
transcript.pyannote[2345].end 13120.88346875
transcript.pyannote[2346].speaker SPEAKER_21
transcript.pyannote[2346].start 13123.33034375
transcript.pyannote[2346].end 13124.86596875
transcript.pyannote[2347].speaker SPEAKER_21
transcript.pyannote[2347].start 13125.92909375
transcript.pyannote[2347].end 13128.96659375
transcript.pyannote[2348].speaker SPEAKER_21
transcript.pyannote[2348].start 13129.16909375
transcript.pyannote[2348].end 13130.43471875
transcript.pyannote[2349].speaker SPEAKER_21
transcript.pyannote[2349].start 13131.97034375
transcript.pyannote[2349].end 13135.12596875
transcript.pyannote[2350].speaker SPEAKER_21
transcript.pyannote[2350].start 13135.96971875
transcript.pyannote[2350].end 13139.49659375
transcript.pyannote[2351].speaker SPEAKER_21
transcript.pyannote[2351].start 13140.79596875
transcript.pyannote[2351].end 13142.34846875
transcript.pyannote[2352].speaker SPEAKER_21
transcript.pyannote[2352].start 13142.53409375
transcript.pyannote[2352].end 13143.09096875
transcript.pyannote[2353].speaker SPEAKER_21
transcript.pyannote[2353].start 13144.44096875
transcript.pyannote[2353].end 13145.55471875
transcript.pyannote[2354].speaker SPEAKER_21
transcript.pyannote[2354].start 13146.21284375
transcript.pyannote[2354].end 13146.63471875
transcript.pyannote[2355].speaker SPEAKER_21
transcript.pyannote[2355].start 13147.30971875
transcript.pyannote[2355].end 13149.09846875
transcript.pyannote[2356].speaker SPEAKER_21
transcript.pyannote[2356].start 13149.41909375
transcript.pyannote[2356].end 13151.88284375
transcript.pyannote[2357].speaker SPEAKER_21
transcript.pyannote[2357].start 13152.10221875
transcript.pyannote[2357].end 13153.31721875
transcript.pyannote[2358].speaker SPEAKER_21
transcript.pyannote[2358].start 13153.75596875
transcript.pyannote[2358].end 13154.51534375
transcript.pyannote[2359].speaker SPEAKER_21
transcript.pyannote[2359].start 13155.89909375
transcript.pyannote[2359].end 13156.65846875
transcript.pyannote[2360].speaker SPEAKER_25
transcript.pyannote[2360].start 13157.94096875
transcript.pyannote[2360].end 13167.22221875
transcript.pyannote[2361].speaker SPEAKER_25
transcript.pyannote[2361].start 13168.16721875
transcript.pyannote[2361].end 13170.29346875
transcript.pyannote[2362].speaker SPEAKER_25
transcript.pyannote[2362].start 13171.18784375
transcript.pyannote[2362].end 13175.77784375
transcript.pyannote[2363].speaker SPEAKER_21
transcript.pyannote[2363].start 13176.73971875
transcript.pyannote[2363].end 13177.92096875
transcript.pyannote[2364].speaker SPEAKER_21
transcript.pyannote[2364].start 13178.30909375
transcript.pyannote[2364].end 13180.97534375
transcript.pyannote[2365].speaker SPEAKER_21
transcript.pyannote[2365].start 13181.32971875
transcript.pyannote[2365].end 13183.01721875
transcript.pyannote[2366].speaker SPEAKER_21
transcript.pyannote[2366].start 13183.45596875
transcript.pyannote[2366].end 13183.94534375
transcript.pyannote[2367].speaker SPEAKER_16
transcript.pyannote[2367].start 13185.48096875
transcript.pyannote[2367].end 13186.00409375
transcript.pyannote[2368].speaker SPEAKER_16
transcript.pyannote[2368].start 13186.17284375
transcript.pyannote[2368].end 13187.86034375
transcript.pyannote[2369].speaker SPEAKER_16
transcript.pyannote[2369].start 13188.97409375
transcript.pyannote[2369].end 13190.84721875
transcript.pyannote[2370].speaker SPEAKER_16
transcript.pyannote[2370].start 13191.06659375
transcript.pyannote[2370].end 13191.82596875
transcript.pyannote[2371].speaker SPEAKER_21
transcript.pyannote[2371].start 13191.16784375
transcript.pyannote[2371].end 13192.46721875
transcript.pyannote[2372].speaker SPEAKER_16
transcript.pyannote[2372].start 13192.46721875
transcript.pyannote[2372].end 13192.73721875
transcript.pyannote[2373].speaker SPEAKER_21
transcript.pyannote[2373].start 13192.50096875
transcript.pyannote[2373].end 13193.46284375
transcript.pyannote[2374].speaker SPEAKER_21
transcript.pyannote[2374].start 13193.83409375
transcript.pyannote[2374].end 13197.29346875
transcript.pyannote[2375].speaker SPEAKER_21
transcript.pyannote[2375].start 13198.93034375
transcript.pyannote[2375].end 13201.25909375
transcript.pyannote[2376].speaker SPEAKER_21
transcript.pyannote[2376].start 13203.08159375
transcript.pyannote[2376].end 13205.69721875
transcript.pyannote[2377].speaker SPEAKER_02
transcript.pyannote[2377].start 13206.70971875
transcript.pyannote[2377].end 13206.74346875
transcript.pyannote[2378].speaker SPEAKER_21
transcript.pyannote[2378].start 13206.74346875
transcript.pyannote[2378].end 13206.84471875
transcript.pyannote[2379].speaker SPEAKER_02
transcript.pyannote[2379].start 13206.84471875
transcript.pyannote[2379].end 13206.87846875
transcript.pyannote[2380].speaker SPEAKER_21
transcript.pyannote[2380].start 13206.87846875
transcript.pyannote[2380].end 13206.89534375
transcript.pyannote[2381].speaker SPEAKER_21
transcript.pyannote[2381].start 13207.30034375
transcript.pyannote[2381].end 13212.83534375
transcript.pyannote[2382].speaker SPEAKER_21
transcript.pyannote[2382].start 13213.74659375
transcript.pyannote[2382].end 13214.47221875
transcript.pyannote[2383].speaker SPEAKER_21
transcript.pyannote[2383].start 13215.29909375
transcript.pyannote[2383].end 13218.91034375
transcript.pyannote[2384].speaker SPEAKER_21
transcript.pyannote[2384].start 13219.48409375
transcript.pyannote[2384].end 13223.17971875
transcript.pyannote[2385].speaker SPEAKER_21
transcript.pyannote[2385].start 13224.02346875
transcript.pyannote[2385].end 13228.34346875
transcript.pyannote[2386].speaker SPEAKER_25
transcript.pyannote[2386].start 13229.33909375
transcript.pyannote[2386].end 13229.92971875
transcript.pyannote[2387].speaker SPEAKER_21
transcript.pyannote[2387].start 13229.38971875
transcript.pyannote[2387].end 13229.86221875
transcript.pyannote[2388].speaker SPEAKER_25
transcript.pyannote[2388].start 13230.18284375
transcript.pyannote[2388].end 13240.29096875
transcript.pyannote[2389].speaker SPEAKER_21
transcript.pyannote[2389].start 13235.58284375
transcript.pyannote[2389].end 13236.37596875
transcript.pyannote[2390].speaker SPEAKER_25
transcript.pyannote[2390].start 13240.61159375
transcript.pyannote[2390].end 13242.02909375
transcript.pyannote[2391].speaker SPEAKER_21
transcript.pyannote[2391].start 13243.15971875
transcript.pyannote[2391].end 13243.81784375
transcript.pyannote[2392].speaker SPEAKER_21
transcript.pyannote[2392].start 13244.77971875
transcript.pyannote[2392].end 13246.24784375
transcript.pyannote[2393].speaker SPEAKER_21
transcript.pyannote[2393].start 13247.53034375
transcript.pyannote[2393].end 13249.65659375
transcript.pyannote[2394].speaker SPEAKER_21
transcript.pyannote[2394].start 13251.12471875
transcript.pyannote[2394].end 13253.94284375
transcript.pyannote[2395].speaker SPEAKER_21
transcript.pyannote[2395].start 13254.14534375
transcript.pyannote[2395].end 13255.86659375
transcript.pyannote[2396].speaker SPEAKER_21
transcript.pyannote[2396].start 13256.35596875
transcript.pyannote[2396].end 13258.00971875
transcript.pyannote[2397].speaker SPEAKER_21
transcript.pyannote[2397].start 13259.34284375
transcript.pyannote[2397].end 13259.96721875
transcript.pyannote[2398].speaker SPEAKER_21
transcript.pyannote[2398].start 13260.54096875
transcript.pyannote[2398].end 13261.84034375
transcript.pyannote[2399].speaker SPEAKER_21
transcript.pyannote[2399].start 13264.06784375
transcript.pyannote[2399].end 13265.95784375
transcript.pyannote[2400].speaker SPEAKER_21
transcript.pyannote[2400].start 13266.24471875
transcript.pyannote[2400].end 13266.97034375
transcript.pyannote[2401].speaker SPEAKER_21
transcript.pyannote[2401].start 13267.52721875
transcript.pyannote[2401].end 13268.89409375
transcript.pyannote[2402].speaker SPEAKER_21
transcript.pyannote[2402].start 13269.26534375
transcript.pyannote[2402].end 13270.17659375
transcript.pyannote[2403].speaker SPEAKER_21
transcript.pyannote[2403].start 13271.99909375
transcript.pyannote[2403].end 13272.72471875
transcript.pyannote[2404].speaker SPEAKER_21
transcript.pyannote[2404].start 13275.08721875
transcript.pyannote[2404].end 13277.58471875
transcript.pyannote[2405].speaker SPEAKER_21
transcript.pyannote[2405].start 13278.15846875
transcript.pyannote[2405].end 13280.28471875
transcript.pyannote[2406].speaker SPEAKER_21
transcript.pyannote[2406].start 13280.50409375
transcript.pyannote[2406].end 13282.27596875
transcript.pyannote[2407].speaker SPEAKER_21
transcript.pyannote[2407].start 13282.56284375
transcript.pyannote[2407].end 13283.15346875
transcript.pyannote[2408].speaker SPEAKER_21
transcript.pyannote[2408].start 13283.59221875
transcript.pyannote[2408].end 13284.46971875
transcript.pyannote[2409].speaker SPEAKER_25
transcript.pyannote[2409].start 13285.71846875
transcript.pyannote[2409].end 13286.96721875
transcript.pyannote[2410].speaker SPEAKER_21
transcript.pyannote[2410].start 13286.96721875
transcript.pyannote[2410].end 13287.96284375
transcript.pyannote[2411].speaker SPEAKER_25
transcript.pyannote[2411].start 13287.96284375
transcript.pyannote[2411].end 13290.39284375
transcript.pyannote[2412].speaker SPEAKER_25
transcript.pyannote[2412].start 13290.44346875
transcript.pyannote[2412].end 13292.26596875
transcript.pyannote[2413].speaker SPEAKER_25
transcript.pyannote[2413].start 13293.37971875
transcript.pyannote[2413].end 13293.88596875
transcript.pyannote[2414].speaker SPEAKER_25
transcript.pyannote[2414].start 13294.83096875
transcript.pyannote[2414].end 13304.19659375
transcript.pyannote[2415].speaker SPEAKER_21
transcript.pyannote[2415].start 13299.94409375
transcript.pyannote[2415].end 13304.29784375
transcript.pyannote[2416].speaker SPEAKER_21
transcript.pyannote[2416].start 13304.38221875
transcript.pyannote[2416].end 13307.45346875
transcript.pyannote[2417].speaker SPEAKER_25
transcript.pyannote[2417].start 13308.49971875
transcript.pyannote[2417].end 13321.35846875
transcript.pyannote[2418].speaker SPEAKER_21
transcript.pyannote[2418].start 13319.21534375
transcript.pyannote[2418].end 13322.64096875
transcript.pyannote[2419].speaker SPEAKER_21
transcript.pyannote[2419].start 13322.72534375
transcript.pyannote[2419].end 13328.19284375
transcript.pyannote[2420].speaker SPEAKER_21
transcript.pyannote[2420].start 13329.79596875
transcript.pyannote[2420].end 13334.03159375
transcript.pyannote[2421].speaker SPEAKER_21
transcript.pyannote[2421].start 13334.62221875
transcript.pyannote[2421].end 13335.65159375
transcript.pyannote[2422].speaker SPEAKER_21
transcript.pyannote[2422].start 13336.37721875
transcript.pyannote[2422].end 13341.40596875
transcript.pyannote[2423].speaker SPEAKER_21
transcript.pyannote[2423].start 13342.09784375
transcript.pyannote[2423].end 13347.86909375
transcript.pyannote[2424].speaker SPEAKER_21
transcript.pyannote[2424].start 13348.22346875
transcript.pyannote[2424].end 13350.45096875
transcript.pyannote[2425].speaker SPEAKER_21
transcript.pyannote[2425].start 13350.63659375
transcript.pyannote[2425].end 13356.84659375
transcript.pyannote[2426].speaker SPEAKER_25
transcript.pyannote[2426].start 13357.85909375
transcript.pyannote[2426].end 13364.54159375
transcript.pyannote[2427].speaker SPEAKER_21
transcript.pyannote[2427].start 13358.97284375
transcript.pyannote[2427].end 13360.37346875
transcript.pyannote[2428].speaker SPEAKER_21
transcript.pyannote[2428].start 13364.52471875
transcript.pyannote[2428].end 13367.96721875
transcript.pyannote[2429].speaker SPEAKER_25
transcript.pyannote[2429].start 13364.82846875
transcript.pyannote[2429].end 13365.62159375
transcript.pyannote[2430].speaker SPEAKER_25
transcript.pyannote[2430].start 13367.96721875
transcript.pyannote[2430].end 13368.30471875
transcript.pyannote[2431].speaker SPEAKER_21
transcript.pyannote[2431].start 13368.30471875
transcript.pyannote[2431].end 13368.33846875
transcript.pyannote[2432].speaker SPEAKER_25
transcript.pyannote[2432].start 13368.33846875
transcript.pyannote[2432].end 13368.97971875
transcript.pyannote[2433].speaker SPEAKER_21
transcript.pyannote[2433].start 13368.97971875
transcript.pyannote[2433].end 13369.41846875
transcript.pyannote[2434].speaker SPEAKER_25
transcript.pyannote[2434].start 13369.41846875
transcript.pyannote[2434].end 13377.21471875
transcript.pyannote[2435].speaker SPEAKER_21
transcript.pyannote[2435].start 13369.45221875
transcript.pyannote[2435].end 13370.39721875
transcript.pyannote[2436].speaker SPEAKER_21
transcript.pyannote[2436].start 13378.07534375
transcript.pyannote[2436].end 13380.37034375
transcript.pyannote[2437].speaker SPEAKER_21
transcript.pyannote[2437].start 13380.74159375
transcript.pyannote[2437].end 13384.06596875
transcript.pyannote[2438].speaker SPEAKER_25
transcript.pyannote[2438].start 13383.25596875
transcript.pyannote[2438].end 13387.35659375
transcript.pyannote[2439].speaker SPEAKER_21
transcript.pyannote[2439].start 13387.47471875
transcript.pyannote[2439].end 13391.92971875
transcript.pyannote[2440].speaker SPEAKER_25
transcript.pyannote[2440].start 13391.05221875
transcript.pyannote[2440].end 13391.20409375
transcript.pyannote[2441].speaker SPEAKER_25
transcript.pyannote[2441].start 13391.35596875
transcript.pyannote[2441].end 13394.59596875
transcript.pyannote[2442].speaker SPEAKER_21
transcript.pyannote[2442].start 13393.27971875
transcript.pyannote[2442].end 13394.10659375
transcript.pyannote[2443].speaker SPEAKER_21
transcript.pyannote[2443].start 13394.96721875
transcript.pyannote[2443].end 13394.98409375
transcript.pyannote[2444].speaker SPEAKER_21
transcript.pyannote[2444].start 13395.30471875
transcript.pyannote[2444].end 13397.07659375
transcript.pyannote[2445].speaker SPEAKER_21
transcript.pyannote[2445].start 13397.39721875
transcript.pyannote[2445].end 13408.01159375
transcript.pyannote[2446].speaker SPEAKER_21
transcript.pyannote[2446].start 13408.46721875
transcript.pyannote[2446].end 13411.80846875
transcript.pyannote[2447].speaker SPEAKER_21
transcript.pyannote[2447].start 13412.38221875
transcript.pyannote[2447].end 13414.98096875
transcript.pyannote[2448].speaker SPEAKER_21
transcript.pyannote[2448].start 13415.92596875
transcript.pyannote[2448].end 13417.42784375
transcript.pyannote[2449].speaker SPEAKER_21
transcript.pyannote[2449].start 13417.79909375
transcript.pyannote[2449].end 13423.95846875
transcript.pyannote[2450].speaker SPEAKER_21
transcript.pyannote[2450].start 13424.36346875
transcript.pyannote[2450].end 13425.66284375
transcript.pyannote[2451].speaker SPEAKER_21
transcript.pyannote[2451].start 13426.15221875
transcript.pyannote[2451].end 13427.73846875
transcript.pyannote[2452].speaker SPEAKER_21
transcript.pyannote[2452].start 13427.95784375
transcript.pyannote[2452].end 13429.00409375
transcript.pyannote[2453].speaker SPEAKER_21
transcript.pyannote[2453].start 13429.61159375
transcript.pyannote[2453].end 13431.21471875
transcript.pyannote[2454].speaker SPEAKER_21
transcript.pyannote[2454].start 13431.60284375
transcript.pyannote[2454].end 13433.27346875
transcript.pyannote[2455].speaker SPEAKER_21
transcript.pyannote[2455].start 13433.47596875
transcript.pyannote[2455].end 13433.72909375
transcript.pyannote[2456].speaker SPEAKER_21
transcript.pyannote[2456].start 13435.38284375
transcript.pyannote[2456].end 13435.56846875
transcript.pyannote[2457].speaker SPEAKER_21
transcript.pyannote[2457].start 13436.20971875
transcript.pyannote[2457].end 13437.01971875
transcript.pyannote[2458].speaker SPEAKER_21
transcript.pyannote[2458].start 13438.06596875
transcript.pyannote[2458].end 13439.41596875
transcript.pyannote[2459].speaker SPEAKER_21
transcript.pyannote[2459].start 13440.39471875
transcript.pyannote[2459].end 13441.72784375
transcript.pyannote[2460].speaker SPEAKER_21
transcript.pyannote[2460].start 13442.36909375
transcript.pyannote[2460].end 13443.70221875
transcript.pyannote[2461].speaker SPEAKER_21
transcript.pyannote[2461].start 13443.93846875
transcript.pyannote[2461].end 13444.95096875
transcript.pyannote[2462].speaker SPEAKER_21
transcript.pyannote[2462].start 13445.45721875
transcript.pyannote[2462].end 13453.03409375
transcript.pyannote[2463].speaker SPEAKER_21
transcript.pyannote[2463].start 13453.57409375
transcript.pyannote[2463].end 13454.67096875
transcript.pyannote[2464].speaker SPEAKER_21
transcript.pyannote[2464].start 13454.97471875
transcript.pyannote[2464].end 13456.45971875
transcript.pyannote[2465].speaker SPEAKER_21
transcript.pyannote[2465].start 13457.25284375
transcript.pyannote[2465].end 13465.13346875
transcript.pyannote[2466].speaker SPEAKER_21
transcript.pyannote[2466].start 13465.50471875
transcript.pyannote[2466].end 13468.74471875
transcript.pyannote[2467].speaker SPEAKER_21
transcript.pyannote[2467].start 13468.93034375
transcript.pyannote[2467].end 13471.61346875
transcript.pyannote[2468].speaker SPEAKER_21
transcript.pyannote[2468].start 13472.42346875
transcript.pyannote[2468].end 13474.68471875
transcript.pyannote[2469].speaker SPEAKER_21
transcript.pyannote[2469].start 13474.76909375
transcript.pyannote[2469].end 13477.14846875
transcript.pyannote[2470].speaker SPEAKER_21
transcript.pyannote[2470].start 13477.85721875
transcript.pyannote[2470].end 13478.58284375
transcript.pyannote[2471].speaker SPEAKER_21
transcript.pyannote[2471].start 13478.61659375
transcript.pyannote[2471].end 13479.86534375
transcript.pyannote[2472].speaker SPEAKER_21
transcript.pyannote[2472].start 13480.67534375
transcript.pyannote[2472].end 13481.63721875
transcript.pyannote[2473].speaker SPEAKER_25
transcript.pyannote[2473].start 13480.72596875
transcript.pyannote[2473].end 13483.10534375
transcript.pyannote[2474].speaker SPEAKER_25
transcript.pyannote[2474].start 13483.34159375
transcript.pyannote[2474].end 13484.43846875
transcript.pyannote[2475].speaker SPEAKER_21
transcript.pyannote[2475].start 13484.64096875
transcript.pyannote[2475].end 13485.01221875
transcript.pyannote[2476].speaker SPEAKER_21
transcript.pyannote[2476].start 13485.28221875
transcript.pyannote[2476].end 13486.27784375
transcript.pyannote[2477].speaker SPEAKER_25
transcript.pyannote[2477].start 13486.27784375
transcript.pyannote[2477].end 13486.29471875
transcript.pyannote[2478].speaker SPEAKER_21
transcript.pyannote[2478].start 13486.41284375
transcript.pyannote[2478].end 13486.85159375
transcript.pyannote[2479].speaker SPEAKER_21
transcript.pyannote[2479].start 13487.13846875
transcript.pyannote[2479].end 13487.79659375
transcript.pyannote[2480].speaker SPEAKER_21
transcript.pyannote[2480].start 13488.10034375
transcript.pyannote[2480].end 13489.77096875
transcript.pyannote[2481].speaker SPEAKER_25
transcript.pyannote[2481].start 13490.68221875
transcript.pyannote[2481].end 13491.03659375
transcript.pyannote[2482].speaker SPEAKER_21
transcript.pyannote[2482].start 13491.71159375
transcript.pyannote[2482].end 13494.19221875
transcript.pyannote[2483].speaker SPEAKER_25
transcript.pyannote[2483].start 13494.54659375
transcript.pyannote[2483].end 13496.11596875
transcript.pyannote[2484].speaker SPEAKER_21
transcript.pyannote[2484].start 13496.85846875
transcript.pyannote[2484].end 13498.98471875
transcript.pyannote[2485].speaker SPEAKER_21
transcript.pyannote[2485].start 13499.49096875
transcript.pyannote[2485].end 13502.89971875
transcript.pyannote[2486].speaker SPEAKER_21
transcript.pyannote[2486].start 13503.06846875
transcript.pyannote[2486].end 13504.45221875
transcript.pyannote[2487].speaker SPEAKER_21
transcript.pyannote[2487].start 13505.56596875
transcript.pyannote[2487].end 13508.16471875
transcript.pyannote[2488].speaker SPEAKER_21
transcript.pyannote[2488].start 13509.56534375
transcript.pyannote[2488].end 13510.51034375
transcript.pyannote[2489].speaker SPEAKER_21
transcript.pyannote[2489].start 13511.03346875
transcript.pyannote[2489].end 13512.14721875
transcript.pyannote[2490].speaker SPEAKER_21
transcript.pyannote[2490].start 13512.45096875
transcript.pyannote[2490].end 13513.15971875
transcript.pyannote[2491].speaker SPEAKER_21
transcript.pyannote[2491].start 13513.78409375
transcript.pyannote[2491].end 13514.18909375
transcript.pyannote[2492].speaker SPEAKER_21
transcript.pyannote[2492].start 13514.50971875
transcript.pyannote[2492].end 13515.20159375
transcript.pyannote[2493].speaker SPEAKER_21
transcript.pyannote[2493].start 13516.56846875
transcript.pyannote[2493].end 13518.32346875
transcript.pyannote[2494].speaker SPEAKER_25
transcript.pyannote[2494].start 13519.67346875
transcript.pyannote[2494].end 13521.86721875
transcript.pyannote[2495].speaker SPEAKER_25
transcript.pyannote[2495].start 13521.96846875
transcript.pyannote[2495].end 13524.12846875
transcript.pyannote[2496].speaker SPEAKER_21
transcript.pyannote[2496].start 13525.25909375
transcript.pyannote[2496].end 13526.79471875
transcript.pyannote[2497].speaker SPEAKER_21
transcript.pyannote[2497].start 13527.11534375
transcript.pyannote[2497].end 13528.95471875
transcript.pyannote[2498].speaker SPEAKER_21
transcript.pyannote[2498].start 13529.81534375
transcript.pyannote[2498].end 13531.38471875
transcript.pyannote[2499].speaker SPEAKER_21
transcript.pyannote[2499].start 13531.75596875
transcript.pyannote[2499].end 13534.43909375
transcript.pyannote[2500].speaker SPEAKER_21
transcript.pyannote[2500].start 13534.79346875
transcript.pyannote[2500].end 13536.10971875
transcript.pyannote[2501].speaker SPEAKER_21
transcript.pyannote[2501].start 13536.16034375
transcript.pyannote[2501].end 13537.32471875
transcript.pyannote[2502].speaker SPEAKER_21
transcript.pyannote[2502].start 13538.37096875
transcript.pyannote[2502].end 13541.32409375
transcript.pyannote[2503].speaker SPEAKER_21
transcript.pyannote[2503].start 13542.25221875
transcript.pyannote[2503].end 13543.95659375
transcript.pyannote[2504].speaker SPEAKER_25
transcript.pyannote[2504].start 13542.55596875
transcript.pyannote[2504].end 13545.30659375
transcript.pyannote[2505].speaker SPEAKER_21
transcript.pyannote[2505].start 13545.98159375
transcript.pyannote[2505].end 13550.16659375
transcript.pyannote[2506].speaker SPEAKER_25
transcript.pyannote[2506].start 13546.03221875
transcript.pyannote[2506].end 13549.66034375
transcript.pyannote[2507].speaker SPEAKER_25
transcript.pyannote[2507].start 13550.16659375
transcript.pyannote[2507].end 13550.52096875
transcript.pyannote[2508].speaker SPEAKER_21
transcript.pyannote[2508].start 13550.21721875
transcript.pyannote[2508].end 13550.45346875
transcript.pyannote[2509].speaker SPEAKER_21
transcript.pyannote[2509].start 13550.52096875
transcript.pyannote[2509].end 13550.84159375
transcript.pyannote[2510].speaker SPEAKER_25
transcript.pyannote[2510].start 13550.84159375
transcript.pyannote[2510].end 13555.53284375
transcript.pyannote[2511].speaker SPEAKER_25
transcript.pyannote[2511].start 13555.61721875
transcript.pyannote[2511].end 13558.36784375
transcript.pyannote[2512].speaker SPEAKER_21
transcript.pyannote[2512].start 13557.03471875
transcript.pyannote[2512].end 13557.77721875
transcript.pyannote[2513].speaker SPEAKER_25
transcript.pyannote[2513].start 13558.46909375
transcript.pyannote[2513].end 13568.03721875
transcript.pyannote[2514].speaker SPEAKER_21
transcript.pyannote[2514].start 13565.30346875
transcript.pyannote[2514].end 13566.07971875
transcript.pyannote[2515].speaker SPEAKER_03
transcript.pyannote[2515].start 13566.07971875
transcript.pyannote[2515].end 13566.18096875
transcript.pyannote[2516].speaker SPEAKER_21
transcript.pyannote[2516].start 13566.18096875
transcript.pyannote[2516].end 13566.31596875
transcript.pyannote[2517].speaker SPEAKER_03
transcript.pyannote[2517].start 13566.31596875
transcript.pyannote[2517].end 13566.34971875
transcript.pyannote[2518].speaker SPEAKER_21
transcript.pyannote[2518].start 13566.34971875
transcript.pyannote[2518].end 13566.51846875
transcript.pyannote[2519].speaker SPEAKER_03
transcript.pyannote[2519].start 13566.51846875
transcript.pyannote[2519].end 13566.55221875
transcript.pyannote[2520].speaker SPEAKER_21
transcript.pyannote[2520].start 13566.55221875
transcript.pyannote[2520].end 13566.99096875
transcript.pyannote[2521].speaker SPEAKER_03
transcript.pyannote[2521].start 13566.99096875
transcript.pyannote[2521].end 13567.17659375
transcript.pyannote[2522].speaker SPEAKER_21
transcript.pyannote[2522].start 13567.17659375
transcript.pyannote[2522].end 13571.54721875
transcript.pyannote[2523].speaker SPEAKER_03
transcript.pyannote[2523].start 13568.03721875
transcript.pyannote[2523].end 13569.03284375
transcript.pyannote[2524].speaker SPEAKER_25
transcript.pyannote[2524].start 13569.03284375
transcript.pyannote[2524].end 13569.08346875
transcript.pyannote[2525].speaker SPEAKER_25
transcript.pyannote[2525].start 13570.48409375
transcript.pyannote[2525].end 13570.50096875
transcript.pyannote[2526].speaker SPEAKER_03
transcript.pyannote[2526].start 13570.50096875
transcript.pyannote[2526].end 13571.42909375
transcript.pyannote[2527].speaker SPEAKER_03
transcript.pyannote[2527].start 13571.81721875
transcript.pyannote[2527].end 13572.81284375
transcript.pyannote[2528].speaker SPEAKER_03
transcript.pyannote[2528].start 13573.26846875
transcript.pyannote[2528].end 13580.13659375
transcript.pyannote[2529].speaker SPEAKER_03
transcript.pyannote[2529].start 13581.45284375
transcript.pyannote[2529].end 13583.56221875
transcript.pyannote[2530].speaker SPEAKER_03
transcript.pyannote[2530].start 13583.98409375
transcript.pyannote[2530].end 13595.99909375
transcript.pyannote[2531].speaker SPEAKER_03
transcript.pyannote[2531].start 13596.92721875
transcript.pyannote[2531].end 13604.97659375
transcript.pyannote[2532].speaker SPEAKER_03
transcript.pyannote[2532].start 13605.46596875
transcript.pyannote[2532].end 13606.30971875
transcript.pyannote[2533].speaker SPEAKER_03
transcript.pyannote[2533].start 13606.90034375
transcript.pyannote[2533].end 13608.84096875
transcript.pyannote[2534].speaker SPEAKER_03
transcript.pyannote[2534].start 13624.12971875
transcript.pyannote[2534].end 13625.73284375
transcript.pyannote[2535].speaker SPEAKER_03
transcript.pyannote[2535].start 13628.09534375
transcript.pyannote[2535].end 13629.49596875
transcript.pyannote[2536].speaker SPEAKER_03
transcript.pyannote[2536].start 13647.55221875
transcript.pyannote[2536].end 13649.03721875
transcript.pyannote[2537].speaker SPEAKER_03
transcript.pyannote[2537].start 13666.94159375
transcript.pyannote[2537].end 13667.90346875
transcript.pyannote[2538].speaker SPEAKER_18
transcript.pyannote[2538].start 13667.90346875
transcript.pyannote[2538].end 13667.97096875
transcript.pyannote[2539].speaker SPEAKER_03
transcript.pyannote[2539].start 13667.97096875
transcript.pyannote[2539].end 13668.03846875
transcript.pyannote[2540].speaker SPEAKER_18
transcript.pyannote[2540].start 13668.03846875
transcript.pyannote[2540].end 13668.96659375
transcript.pyannote[2541].speaker SPEAKER_03
transcript.pyannote[2541].start 13668.96659375
transcript.pyannote[2541].end 13669.03409375
transcript.pyannote[2542].speaker SPEAKER_21
transcript.pyannote[2542].start 13669.03409375
transcript.pyannote[2542].end 13669.10159375
transcript.pyannote[2543].speaker SPEAKER_18
transcript.pyannote[2543].start 13669.10159375
transcript.pyannote[2543].end 13669.33784375
transcript.pyannote[2544].speaker SPEAKER_21
transcript.pyannote[2544].start 13669.33784375
transcript.pyannote[2544].end 13669.52346875
transcript.pyannote[2545].speaker SPEAKER_18
transcript.pyannote[2545].start 13669.52346875
transcript.pyannote[2545].end 13669.54034375
transcript.pyannote[2546].speaker SPEAKER_21
transcript.pyannote[2546].start 13669.54034375
transcript.pyannote[2546].end 13669.64159375
transcript.pyannote[2547].speaker SPEAKER_18
transcript.pyannote[2547].start 13669.64159375
transcript.pyannote[2547].end 13669.65846875
transcript.pyannote[2548].speaker SPEAKER_21
transcript.pyannote[2548].start 13669.65846875
transcript.pyannote[2548].end 13670.94096875
transcript.pyannote[2549].speaker SPEAKER_03
transcript.pyannote[2549].start 13670.94096875
transcript.pyannote[2549].end 13671.29534375
transcript.pyannote[2550].speaker SPEAKER_21
transcript.pyannote[2550].start 13671.29534375
transcript.pyannote[2550].end 13673.50596875
transcript.pyannote[2551].speaker SPEAKER_18
transcript.pyannote[2551].start 13673.50596875
transcript.pyannote[2551].end 13673.57346875
transcript.whisperx[0].start 1775.223
transcript.whisperx[0].end 1800.923
transcript.whisperx[0].text 報告委員會出席委員9人以足法定人數請主席宣布開會現在開會進行報告事項宣讀上次會議議事錄立法院第11屆第1會期司法及法制委員會第15次全體委員會議議事錄實現中華民國113年4月22日星期一上午9時1分至10時18分地點本院紅樓302會議室出席委員黃委員郭昌等13人練習委員鄭委員天才等9人
transcript.whisperx[1].start 1801.403
transcript.whisperx[1].end 1816.754
transcript.whisperx[1].text 列席官員.立法院秘書長周萬來等人.主席中召集委員嘉賓.報告事項.宣讀上次會議事錄決定確定.討論事項.審查民進黨黨團擬拒立法院組織法部分條文修正草案等9案.民進黨黨團提案已說明完畢.經表決通過散會動議.宣讀完畢
transcript.whisperx[2].start 1823.1
transcript.whisperx[2].end 1849.853
transcript.whisperx[2].text 好,由於在場委員不足人數,我們待會議事部再進行確定那接下來介紹應邀列席官員那麼應邀列席官員,我們歡迎司法院吳三龍秘書長,歡迎您以及法務部蔡欣祥部長,歡迎您好,那其他的未及介紹的列席代表請參與名單不再逐一介紹,並列入公報記錄
transcript.whisperx[3].start 1852.213
transcript.whisperx[3].end 1872.607
transcript.whisperx[3].text 那本次議程邀請司法院秘書長、法務部部長率所屬相關單位列席就:「如何透過行政簡化、訴訟減量與科技運用以降低基層司法體系負擔之成效與精進期程.進行專題報告.並備質詢。」那麼現在介紹在場委員我們羅志強委員歡迎您
transcript.whisperx[4].start 1881.837
transcript.whisperx[4].end 1883.979
transcript.whisperx[4].text 現在進行報告發言時間5分鐘請司法院吳秘聰報告主席
transcript.whisperx[5].start 1901.977
transcript.whisperx[5].end 1923.008
transcript.whisperx[5].text 各位委員.法務部蔡部長.各位機關代表.各位先生.各位女士本人僅代表司法院就本日的專題進行報告一共有7點進行指教第一點民事訴訟部分
transcript.whisperx[6].start 1924.147
transcript.whisperx[6].end 1942.26
transcript.whisperx[6].text 那麼有透過修正民事訴訟法第249條第249條之一有關個案濫訴防度的法制那麼另外也有修正民事訴訟法第486條
transcript.whisperx[7].start 1945.767
transcript.whisperx[7].end 1965.185
transcript.whisperx[7].text 規定看告經過裁定法院以不合法或原法院以未繳納裁判會而不合法為由裁定駁回確定或再申請再審或以其他方法聲明不符則不勝效力以免無謂耗費司法職員經過這些有關
transcript.whisperx[8].start 1971.471
transcript.whisperx[8].end 1978.634
transcript.whisperx[8].text 防止濫訴的這些規範之後在新法實施前111年統計有3000件該類濫訴的案件經過修法之後有獲得改善第二點是關於辦理調解業務績效逐年成長
transcript.whisperx[9].start 1997.518
transcript.whisperx[9].end 2012.574
transcript.whisperx[9].text 106年開始有設置完成視訊外紛爭解決機構查詢平台方便民眾查詢使用根據統計各地方法院辦理的調解終結建樹
transcript.whisperx[10].start 2017.925
transcript.whisperx[10].end 2045.818
transcript.whisperx[10].text 從106年的10萬多件那逐年增加到112年的18萬多件成長78.84%所以這個也有顯著的成效那另外在第二點就是關於刑事訴訟部分那麼為了合理分配司法資源減輕基層司法人員的工作負擔那麼本院之前已經
transcript.whisperx[11].start 2047.298
transcript.whisperx[11].end 2070.211
transcript.whisperx[11].text 提案修正刑事訴訟法關於限縮第三審上訴罪名及擴大第一審獨任審判範圍已經修法通過有獲得部分的改善為了要進一步提升審判效能對於坦誠犯罪案情相對單純明確的類型見過
transcript.whisperx[12].start 2077.196
transcript.whisperx[12].end 2102.733
transcript.whisperx[12].text 分流制的刑事訴訟,所以嚴厲修正刑事訴訟法在第一審的部分擴大檢視審判程序的適用範圍第二審的部分,就第一審已經合法調查過當事人吳正義的證據二審法院就不再進行重複調查可實現有效率的刑事訴訟,減輕審理案件的負擔
transcript.whisperx[13].start 2108.697
transcript.whisperx[13].end 2133.974
transcript.whisperx[13].text 那第三點在刑事訴訟部分在112年8月15日修正的刑事訴訟法新制那麼在刑事訴訟法第219條第228條之一以及第二篇第一章第8節那麼有完善的替代裁判的紛爭解決機制並且依照
transcript.whisperx[14].start 2137.639
transcript.whisperx[14].end 2141.263
transcript.whisperx[14].text 第107條、249條徵定個案濫訴防度的規定相關制度書簡訟言協助當事人合意來解決紛爭有效減輕司法人員的負擔
transcript.whisperx[15].start 2155.064
transcript.whisperx[15].end 2175.124
transcript.whisperx[15].text 第四點是關於少年及家事事件部分這一部分我們也是從108年開始就推行精進的法院家事調解業務這一部分也都有從統計資料來看也都有很顯著的一個績效達到疏減重點
transcript.whisperx[16].start 2178.476
transcript.whisperx[16].end 2205.665
transcript.whisperx[16].text 第五點是推動裁判書的簡化這個是我們現在列為一個很重要的一個重點在本院在推動裁判書簡化列為我們的施政計畫的重要事項才在剛上個月25日本院所舉辦的司法所長業務座談會
transcript.whisperx[17].start 2208.198
transcript.whisperx[17].end 2216.206
transcript.whisperx[17].text 有提供民宿廳、刑事廳、行政廳會前所研擬的有關裁判書簡化原則還有參考規範請各法院能夠來朝這個方向努力第6點是關於租姓運用科技
transcript.whisperx[18].start 2229.923
transcript.whisperx[18].end 2230.603
transcript.whisperx[18].text 第7點也一併
transcript.whisperx[19].start 2255.246
transcript.whisperx[19].end 2268.376
transcript.whisperx[19].text 請行政部門能夠協助投資更多的人力資源以降低司法同仁的工作負擔那麼我們也有提出這個有關的附件還有有關數據那確實從103年到102年那麼案件成長率達到28%那麼未結案也成長96%所以我們很期盼這個
transcript.whisperx[20].start 2281.345
transcript.whisperx[20].end 2309.571
transcript.whisperx[20].text 目前要清理基案這個是一個非常艱困人力非常的需要我們提出的清潔位置案件急迫需求人力有5536人這一部分麻煩請期盼我們人事行政總署等行政部門能夠協助以這個來解決我們目前的困難非常感謝 謝謝
transcript.whisperx[21].start 2314.019
transcript.whisperx[21].end 2333.527
transcript.whisperx[21].text 好 謝謝秘書長那在進行下一個報告之前因為會場委員已把法定人數我們先處理請問各位對於上次的會議意思錄有錯或遺漏沒有喔沒有的話那我們意思錄確定好 那接下來請法務部蔡部長報告時間5分鐘
transcript.whisperx[22].start 2342.697
transcript.whisperx[22].end 2353.209
transcript.whisperx[22].text 主席、各位委員、各位先進今天奉邀到貴委員會代表法務部列席報告並備質詢那將報告如下,敬請各位委員指教
transcript.whisperx[23].start 2354.978
transcript.whisperx[23].end 2378.389
transcript.whisperx[23].text 檢察官肩負犯罪偵查,面對近年來與日俱增的刑事案件,犯罪守法日新月異的積極偵查挑戰,工作負擔日益沉重。而檢察官辦案輔助人力,包括檢察事務官、書記官等亦隨之加重負擔,面臨到人力不足的困境。
transcript.whisperx[24].start 2379.289
transcript.whisperx[24].end 2386.917
transcript.whisperx[24].text 因此在人力方面本部除了向行政院積極爭取新增檢查機關員額在109年增援了110位110年增援了187位從111年到114年合計分4年有600位
transcript.whisperx[25].start 2399.263
transcript.whisperx[25].end 2421.45
transcript.whisperx[25].text 此外.更積極地爭取禁用檢察官助理.推動檢察官助理的法制化.其能充實檢察機關的輔助能力.在行政簡化、訴訟減量.與科技運用上也積極地研修法制.並實施各項的改善方案.以疏減工作負荷在行政簡化方面
transcript.whisperx[26].start 2422.366
transcript.whisperx[26].end 2443.134
transcript.whisperx[26].text 那第一,我們推動了幫助詐欺被告全國總歸戶的計畫就單純提供帳戶、帳號或門號的幫助詐欺案件本部推動總歸戶計畫,針對同一被告帳戶、帳號或門號內的所有被害人應集中到被告戶籍地的司法警察機關統一調查並進行後續的移送
transcript.whisperx[27].start 2446.84
transcript.whisperx[27].end 2455.579
transcript.whisperx[27].text 未來會先經有審查程序以後才分案交由檢察官來偵辦,其能有效降低詐欺案件量。
transcript.whisperx[28].start 2457.474
transcript.whisperx[28].end 2480.254
transcript.whisperx[28].text 推行立案審查中心、試刑調解中心各地檢成立的立案審查中心跟試刑調解中心等任務編組將地檢署收受的案件進行分流由專人直接處理濫訴、檢疫及自白案件的偵查與結案有助檢查人力的調節及資源合理分配
transcript.whisperx[29].start 2482.846
transcript.whisperx[29].end 2501.679
transcript.whisperx[29].text 3.經檢查扣案的分案及結案規定本部會避免查扣案分案過於腐爛將限縮符合以查扣特定類型犯罪所得者以及經檢察長或檢察官認為分查扣案必要者才分查扣案
transcript.whisperx[30].start 2503.117
transcript.whisperx[30].end 2531.473
transcript.whisperx[30].text 第四,精進書類的簡化,以犯罪嫌疑不足的不起訴處分書作為優先對象,頒布適用於所有案件類型不起訴處分書的簡化格式。第五,研議不起訴處分定型化的可行性,研議定型化立稿供檢察官參用。第六,成立合理化檢察官工作負擔研議小組,定期召集會議,提出可行的具體作為。
transcript.whisperx[31].start 2533.407
transcript.whisperx[31].end 2550.077
transcript.whisperx[31].text 第二,在訴訟減量方面第一,推動修法從源頭遏阻詐欺犯罪本部擬拒了《洗錢防治法》第15條之一無正當理由收集帳戶罪第15條之二,無正當理由交付或提供帳戶罪
transcript.whisperx[32].start 2552.986
transcript.whisperx[32].end 2570.275
transcript.whisperx[32].text 並減輕檢察官證明主觀犯意的負擔本部已經擬拒了《洗錢防治法》第15條之二第6項帳戶帳號暫停限制功能或禁與關閉的管理辦法改革再議的制度避免案件重複發回
transcript.whisperx[33].start 2572.598
transcript.whisperx[33].end 2590.877
transcript.whisperx[33].text 對於第二次以上送在意的案件若偵查未完備,上級檢察署以自行偵查為原則,減少在意案件發回次數,避免案件重復發回。偵查中運用調解修復式司法醫療調解案件,得暫時簽請報決。
transcript.whisperx[34].start 2594.08
transcript.whisperx[34].end 2610.993
transcript.whisperx[34].text 鼓勵運用訴訟外分針解決機制,減輕檢察官的案件負荷與壓力。通盤檢討實體法可處罪化的罪名,或就部分犯罪擴大告訴哪一項罪的可惜性。在科技運用方面
transcript.whisperx[35].start 2611.96
transcript.whisperx[35].end 2636.652
transcript.whisperx[35].text 第一,我們發展檢察機關AI智慧輔助系統本部在110年到112年進行3年期的檢察機關AI智慧輔助系統包括AI自動生成9架案件、結案書類出稿並自動判讀是否構成累犯或AI系統自動產製人頭戶詐欺案件被害人匯款付表
transcript.whisperx[36].start 2637.557
transcript.whisperx[36].end 2638.557
transcript.whisperx[36].text AI系統自動辨識數位見證還有間接警訊筆錄的電子檔在內勤徵訊時自動代錄為徵訊亭的筆錄
transcript.whisperx[37].start 2650.94
transcript.whisperx[37].end 2670.934
transcript.whisperx[37].text 本部在113年至115年會持續推動三年期的檢察機關AI智慧輔助系統建置計畫.包括AI自動生成難度較高的案件結案書類出稿.擴大數位資料的借接.以AI判讀被告前科表等
transcript.whisperx[38].start 2672.216
transcript.whisperx[38].end 2693.198
transcript.whisperx[38].text 至於內勤人犯以遠距視訊來解送遇到輕罪且被告自白者經被告同意並記名筆錄後檢察官可以准以檢方以視訊方式解送這個做法已經推展到全國的地檢署、機關、當事人反應都非常正面
transcript.whisperx[39].start 2694.763
transcript.whisperx[39].end 2719.749
transcript.whisperx[39].text 建制司法聯盟區塊鏈,強化數位證據的驗證效能,確保同一性與真實性,減少政務監管人力負擔。推動RFID科技化章政務庫管理系統,精確監控扣押物移轉歷程,將槍、彈、毒品、貴重物品及死刑證物妥適保存。
transcript.whisperx[40].start 2721.355
transcript.whisperx[40].end 2743.235
transcript.whisperx[40].text 最後導入科技偵查犯罪提升偵查效能各地檢成立了科技偵查指揮中心具有七大科偵的功能另外建構金融資料查調電子化平台創設科技偵查輔助平台整合台高間具有的各類資料庫最後結語
transcript.whisperx[41].start 2746.581
transcript.whisperx[41].end 2764.949
transcript.whisperx[41].text 108年檢察機關全國新收偵探箱案件數為58萬多到112年新收案件已經達到85萬多件呈現了逐年递增的一個狀況而偵查檢察官112年每月平均新收案件高達110件
transcript.whisperx[42].start 2767.231
transcript.whisperx[42].end 2789.544
transcript.whisperx[42].text 偵查終結平均每件所需的日數是61.5天也就是說檢察官必須在很短的時間內終結大量的新收案件工作負荷是很重的本部除了持續從法制面、業務面持續改善檢察機關的工作環境外去年因應打炸業務向行政院爭取的檢察官助理100人
transcript.whisperx[43].start 2790.484
transcript.whisperx[43].end 2813.153
transcript.whisperx[43].text 各地檢運用成效良好.本部任有比照法官助理、偵測檢察官助理法制化的必要.亦提出了法院組織法的修正草案.積極向司法院、行政院、人事、行政總署說明.期盼能夠迅速地完成修法.敬請大院予以支持以上報告 敬請主席、各位委員指教謝謝
transcript.whisperx[44].start 2815.455
transcript.whisperx[44].end 2842.933
transcript.whisperx[44].text 好 謝謝法務部蔡部長其餘機關報告請參與書面那麼機關代表報告完畢相關書面報告內容列入公報記錄現在開始進行詢答本會委員詢答時間為8分鐘必要時得延長2分鐘非本會委員詢答時間為5分鐘並不再延長上午10點30分截止發言登記請登記第一位的省委員發會質詢
transcript.whisperx[45].start 2857.665
transcript.whisperx[45].end 2871.637
transcript.whisperx[45].text 主席 我們先請司法院秘書長好 請秘書長好 秘書長早我想這個
transcript.whisperx[46].start 2873.396
transcript.whisperx[46].end 2892.893
transcript.whisperx[46].text 今天本會安排這個議程最主要就是在近期大家非常關注有關於4月12號有法官墜樓以及後續的白花運動也在2月的時候有書記官過勞死的問題
transcript.whisperx[47].start 2898.187
transcript.whisperx[47].end 2921.222
transcript.whisperx[47].text 因此我想這樣的相關的議題,這些事情其實就國人來講大家是真的是同感悲欺但是我們司法院作為我們司法的最高的機構我想對於相關的問題我們應該是
transcript.whisperx[48].start 2924.228
transcript.whisperx[48].end 2940.165
transcript.whisperx[48].text 應該是要有所,第一要對社會有所回應第二我們應該也要有所作為一方面我們要滿足於這個社會對於這個司法爭議的要求另外一方面我們也要注重到我們這個
transcript.whisperx[49].start 2941.934
transcript.whisperx[49].end 2968.355
transcript.whisperx[49].text 司法從業人員的這個相關的這些目前的這個業務量過大的這個問題我想我們都應該司法機關責無旁貸司法院責無旁貸那這個我看了你們的這個這個書面報告也看了很多裡面有提到就是說是意思大概就是說我們司法院過去有做比如說我們提出來的最主要的一件事情就是我們這個
transcript.whisperx[50].start 2969.876
transcript.whisperx[50].end 2973.319
transcript.whisperx[50].text 110年的1月我們針對這個民事訴訟法249條我們做了修訂修訂了249條第8款跟增訂了249條之一的這個裁罰的條文最主要就是我們針對這個
transcript.whisperx[51].start 2991.435
transcript.whisperx[51].end 3006.481
transcript.whisperx[51].text 這個.如果這個起訴是基於惡意.或者基於不當的目的.或者有重大的過失.然後事實上.而且他事實上或法律上的主張欠缺合理依據那這樣子我們249條第8項是規定可以裁定駁回那249條之一就明定
transcript.whisperx[52].start 3013.618
transcript.whisperx[52].end 3038.699
transcript.whisperx[52].text 加以裁罰啦齁那這個這個這樣子的修法立法當然就是其實簡單講就是要避免降低這個個案爛數的數目嘛對不對是這樣子嘛但是我們就就如果說這個是我們我們在訴訟報告我們也提了這個部分就意思說我們過去有做了這個但是我們就要看說那修法之後這個修法到底是不是有有效的
transcript.whisperx[53].start 3039.724
transcript.whisperx[53].end 3063.166
transcript.whisperx[53].text 降低了這個爛數這個這個個案爛數是不是有效的降低啦齁那我就就檢視我們這個我們地方法我就地方法院的民事案件的終結數啦齁來來看從100這個這個我現在列表這個是103年開始但是我只我們就只看100110年修法之後的這三年這三年我們這個
transcript.whisperx[54].start 3066.129
transcript.whisperx[54].end 3092.457
transcript.whisperx[54].text 幾乎還是年年增長一百一十二年增加到增加了三十萬件這個增加了將近七趴那一百一十一年相對一百一十年將增加了九趴也就是說我這樣子我看這個數字來講我們一百一十一百一十年的這個修法有關個案爛速的民事訴訟法兩百
transcript.whisperx[55].start 3095.39
transcript.whisperx[55].end 3100.036
transcript.whisperx[55].text 249條的修法事實上看起來好像並沒有達到我們想要的效果是不是
transcript.whisperx[56].start 3102.014
transcript.whisperx[56].end 3124.146
transcript.whisperx[56].text 這個只是訴訟案件的一部分而已像現在增加很多不是屬於這個範圍的所以這個畢竟還是屬於一部分而已可以說是一部分那我們秘書長意思說這個當然這個案件是增加這案件量增加有很多因素
transcript.whisperx[57].start 3125.347
transcript.whisperx[57].end 3145.199
transcript.whisperx[57].text 那我要講的只是說110年的修法之後顯然我們說我們有針對這個我們做的這個修法但這個修法他事實上成效非常有限成效非常其實成效非常有限一小部分而已很小部分多小部分呢我們實際看看你真正這三年來就從110年3月開始到111年我這統計到111113年的2月統計到今年2月
transcript.whisperx[58].start 3153.973
transcript.whisperx[58].end 3172.367
transcript.whisperx[58].text 我們整個這個民事整個有關民事訴訟法的部分有有這個個案爛數的駁回的總共這樣子三年時間只有288件了也就是我們這修法的效益在三年之內只有288件那實際249條之一進行裁罰的總共全個三年全國才53件了
transcript.whisperx[59].start 3183.239
transcript.whisperx[59].end 3207.903
transcript.whisperx[59].text 53件裡面臺北地方法院就佔了14件扣掉之後幾乎幾乎這個修法簡單講這個修法裁罰我想這個成效基本上是非常低的啦這個秘書長是說明一下像士林地方法院這個算是案件量相當大的他整個三年來進行裁罰的才一件
transcript.whisperx[60].start 3208.507
transcript.whisperx[60].end 3223.241
transcript.whisperx[60].text 因為這種修法他有他積極面啦就當事人他看到這個修法之後他也會盡量避免去提出來所以所以這個這個一部分也達到惡質的功效惡質功效
transcript.whisperx[61].start 3225.103
transcript.whisperx[61].end 3247.449
transcript.whisperx[61].text 有,這秘書長意思說除了這個數字,這個數字是發生了,包括駁回的,包括裁罰的,這個之外,還有一些在心理上就惡煮。就惡煮了。惡煮了他們這個個案濫訴的狀況。就是有修法他就會有明文規定了。有啦,我沒有反對修法,我只是講說,這個修法事實上看起來,我個人看起來是認為說成效其實,
transcript.whisperx[62].start 3248.928
transcript.whisperx[62].end 3276.675
transcript.whisperx[62].text 其實相當...就我們目前的司法人員的這個工作量來講成效是...是相當小啦最重要的也是你們在書面報告裡面一再提的其實最重要的是...是人力需求的增加啦 對不對人力需求...就是案件...而且環雜度增加了社會變遷...對 好環雜度是一個啦那人...你們基本上就認為人力不足這個也是...這個也是一個很重要這個是一個...一個...
transcript.whisperx[63].start 3277.355
transcript.whisperx[63].end 3293.704
transcript.whisperx[63].text 一個很重要而且蠻根本的原因啦蠻根本的原因但是我看你們的目前的這個我們司法院的所屬機關人力的法定員額的上限是一萬五千人一萬五千人對不對我們的法定員額上限是是是那我們現在已經達到多少
transcript.whisperx[64].start 3295.041
transcript.whisperx[64].end 3309.409
transcript.whisperx[64].text 現在一百十三年度的預算緣額我們實際上的預算緣額達到多少一萬四千一萬四千五百零八人就剩下四百九十二個名額而已基本上是緊繃了啦緊繃啦緊繃就算讓你補到所謂法定緣額上限
transcript.whisperx[65].start 3316.416
transcript.whisperx[65].end 3322.261
transcript.whisperx[65].text 所以我們提出就是最基本的就是目前需求就達到5536人所以我們是很期盼能夠改這個總言而法
transcript.whisperx[66].start 3338.092
transcript.whisperx[66].end 3359.371
transcript.whisperx[66].text 司法院第一步要趕快去解決這個總原額法你要跟人事行政總署要趕快先解決這個問題解決了之後才有後面人力需求到底可以補不能補的問題嗎報告委員那因為這主政的法規主政機關是人事行政總署對人事行政我就說你們要盡快的跟人事而且在現在社會大家有共識對於這個我們
transcript.whisperx[67].start 3362.694
transcript.whisperx[67].end 3391.649
transcript.whisperx[67].text 司法從業人員的工作量有共識的時候我覺得這時候我們司法院就應該要展現這個態度就從總緣合法這個部分先來調整調整之後才有人力需求能不能補足的問題你第一關都沒有過你要五千多人欸五千多人你們現在緣合只剩下五百多人的緣合所以很謝謝委員這個是最重要的一點所以司法院現在要做的當務之急首要之急當務之急就是跟人事行政總署就
transcript.whisperx[68].start 3392.828
transcript.whisperx[68].end 3402.606
transcript.whisperx[68].text 預算緣額總數的部分先做調整要突破上限啦對 那個上限要做調整這個是司法院現在目前當務之急該做的工作 對不對是是 謝謝 非常謝謝
transcript.whisperx[69].start 3405.984
transcript.whisperx[69].end 3427.989
transcript.whisperx[69].text 接著除了人力需求以外我看你們報告也提到說透過行政簡化訴訟減量用科技降低基層司法體系負擔之成效有關裁判書簡化的部分你們也研議了裁判書簡化的方式到目前為止進度怎麼樣
transcript.whisperx[70].start 3430.249
transcript.whisperx[70].end 3452.704
transcript.whisperx[70].text 這個就這幾年來就列為重點啦那這當然涉及到裡面我們裡面的同仁也要朝這個方向一起來努力啦不是努力啦你們這個有關裁判書簡化你們應該有一些制式的規定的制式的什麼樣可以朝什麼樣的方向簡化不然你要法官個人自己現在去簡化裁判書
transcript.whisperx[71].start 3454.746
transcript.whisperx[71].end 3474.202
transcript.whisperx[71].text 報告委員,所以我們在上個月25號舉辦的所長會議我們有三個廳,民事、刑事、刑程廳就有會前也經過好幾個月時間研擬各種簡化原則還有參考範例作為一個遵行的指引發布了嗎?發布給這些法官嗎?現在開始實施你們所謂簡化的判決書的
transcript.whisperx[72].start 3482.009
transcript.whisperx[72].end 3486.824
transcript.whisperx[72].text 的這個相關的這個相關的這個格式你們已經有
transcript.whisperx[73].start 3487.967
transcript.whisperx[73].end 3513.599
transcript.whisperx[73].text 都在所長會議都正式發布了正式發布了那目前實施上面就這些就目前的法官他們有依照我們所制定的這些新的這些規範來進行裁判書的簡化嗎所以我們一定要加強來宣導我知道你們要加強啦我今天在這裡意思就是要你加強啦這個這些齁其實手段我們都已經
transcript.whisperx[74].start 3515.139
transcript.whisperx[74].end 3538.366
transcript.whisperx[74].text 我們司法院最清楚到底要怎麼解決目前司法委員過勞的部分而且你們也都提出了一些方法但是這些方法到底有做沒有做我再重複一遍喔最重要的我們預算緣額總數請司法院在這段時間積極的跟人事行政總數來爭取好不好謝謝 謝謝好 謝謝沈委員 謝謝吳秘書長接下來有請羅委員志強發言
transcript.whisperx[75].start 3551.814
transcript.whisperx[75].end 3573.206
transcript.whisperx[75].text 主席有請我們的部長跟秘書長請吳秘書長和蔡部長委員好部長在來談法官過勞之前有一個非常重大的題目我要來就教於你
transcript.whisperx[76].start 3574.229
transcript.whisperx[76].end 3594.924
transcript.whisperx[76].text 昨天大法官做這個死刑辯論 對不對那我看到大法官問了一個問題他說一定要跟民意妥協嗎請問部長能不能幫我解讀一下大法官這句話是什麼意思他意思就是要跟民意對著幹的意思了嗎這是大法官的見解我們予以尊重
transcript.whisperx[77].start 3601.417
transcript.whisperx[77].end 3616.424
transcript.whisperx[77].text 我要跟部長說過去我們在司法法制委員會我非常敬佩部長 知道為什麼嗎我看到我們榮介修獲很多委員質詢死刑的問題我覺得言者尊尊啊大法官聽者渺渺啊你那時候有講到八成的民意反對廢除死刑 是不是我們有了解到這個趨勢對 然後也提出要司法自治嘛 對不對
transcript.whisperx[78].start 3631.416
transcript.whisperx[78].end 3660.257
transcript.whisperx[78].text 這句話不是我說的我有看到你們法務部有談到至少你們講要尊重立法權嘛 對不對沒錯吧我們認為應該尊重代表民意的立法機關答對阿 非常好阿可是今天我要非常不客氣的說大法官問出這句話一定要跟民意妥協嗎那不就是大法官已經透露他的新政了
transcript.whisperx[79].start 3662.076
transcript.whisperx[79].end 3686.354
transcript.whisperx[79].text 今天他就是要跟民意對著幹了嗎我這邊也要說今天法務部代表今天說真的大法官這個所謂的死刑的辯論好像只剩下法務部今天能夠代表跟大法官部這個所推的一些所有的一些意見不相同的一個意見能夠代表八成民意就是剩下法務部啦是嗎
transcript.whisperx[80].start 3687.605
transcript.whisperx[80].end 3714.853
transcript.whisperx[80].text 我們一貫的立場就是尊重法律的規定現行的死刑規定我們的立場就認為是合憲的我要在這邊特別跟部長說一件事也跟我們的司法院的秘書長說一件事情大法官不是上帝啦大法官如果司法過動本身就是一種違憲的一個行為今天八成以上的民意反對廢除死刑我非常認同法務部說的
transcript.whisperx[81].start 3716.192
transcript.whisperx[81].end 3741.03
transcript.whisperx[81].text 今天如果真的覺得死刑要被廢除那也應該回到國會讓國會來立法廢除現在大法官全部都是民進黨提名的啦請問民意基礎在哪裡憑什麼今天少數而且是代退大法官這大法官你這麼長的任期你要廢除死刑早點廢啦
transcript.whisperx[82].start 3743.188
transcript.whisperx[82].end 3749.676
transcript.whisperx[82].text 你到準備要這個所謂的要卸任了神龍百尾啊稀釋回眸啊什麼意思啊我這邊也鄭重宣布今天大法官如果侵犯立法、背叛民意本席不會接受啊
transcript.whisperx[83].start 3763.206
transcript.whisperx[83].end 3786.137
transcript.whisperx[83].text 我在大安區參選立法委員我的政見就是我反對廢除死刑我代表反對廢除死刑名義進到立法院以後今天對於所謂的大法官侵犯立法權來去廢除死刑的話我無法接受將來在立法的時候我想請問部長大法官一旦作出死刑違憲的判決之後接下來會要怎麼辦
transcript.whisperx[84].start 3787.489
transcript.whisperx[84].end 3805.896
transcript.whisperx[84].text 接下來怎麼辦我們有準備各種方案就看大法官最後憲法法院怎麼做解釋我們都有事先都預擬好了如果說是違憲呢我們有應對的方法什麼應對方法有各種方法什麼各種方法
transcript.whisperx[85].start 3807.887
transcript.whisperx[85].end 3829.907
transcript.whisperx[85].text 部長抱歉喔我對你都一直很尊敬喔你今天不要在這邊損及我對你的尊敬喔具體的方法是什麼你不能告訴我嗎具體的方法如果他認為該怎麼樣我們就怎麼樣嘛什麼叫該怎麼樣怎麼樣他說你死刑違憲啊我直接說啦接下來立法院就要配合修法對不對
transcript.whisperx[86].start 3831.294
transcript.whisperx[86].end 3860.197
transcript.whisperx[86].text 按照憲法 按照這個所謂的大法官如果認為違憲的話立法院要配合修法 把所有死刑全部廢掉 是不是這個意思呃 看他最後的解釋文怎麼樣 該修法我直接告訴 我直接告訴部長我絕對不會配合修法啦今天我會說民進黨的立委 你敢配合修法嗎我要事先都講了今天廢除死刑 是崩潰我們社會法治的基礎啊
transcript.whisperx[87].start 3861.768
transcript.whisperx[87].end 3886.484
transcript.whisperx[87].text 在這邊我跟你講我今天用這些話雖然講得重我是為大法官好我真怕今天憲法法庭的辯論真正人民的聲音他沒有聽進去他沒有聽進去這麼重大的憲政爭議過去大法官解釋死刑合不合憲請問部長過去的解釋是合憲的答對了
transcript.whisperx[88].start 3887.628
transcript.whisperx[88].end 3897.291
transcript.whisperx[88].text 你今天要來挑戰過去的大法官挑戰當前八成的民意挑戰立法院的憲政尊嚴羅志強是不會退讓的啦將來如果進到立法院要配合修法我第一個反對修法啦你要做憲政危機、憲政僵局、憲政爭議大法官我跟你對著幹啦我講白就是這麼一回事
transcript.whisperx[89].start 3913.789
transcript.whisperx[89].end 3937.355
transcript.whisperx[89].text 昨天聽到這句話我非常的不爽啊什麼叫做一定要跟民意妥協你是上帝嗎?你是上帝嗎?前面的憲法的四憲講得清清楚楚合憲現在的八成民意反對廢除死刑而法務部也告訴大家要廢除死刑應該由立法決定三重侵犯
transcript.whisperx[90].start 3939.481
transcript.whisperx[90].end 3953.862
transcript.whisperx[90].text 還沒有把這個憲法法庭的最後的解釋出來我在這邊只是先做預告真的拜託拜託拜託拜託拜託再拜託我們大法官好好傾聽這些被害者的聲音啊
transcript.whisperx[91].start 3956.055
transcript.whisperx[91].end 3972.86
transcript.whisperx[91].text 這些被害者在家屬在暗處哭泣的聲音請他們聽一聽這八成民意強烈的反對請他們聽一聽立法院的憲政尊嚴請他們聽一聽過去大法官認為死刑核限的這些前輩們的聲音請這些大法官聽一聽如果這樣硬著幹我跟你講就是憲政危機第二個我就要問我們的法官過豪的問題
transcript.whisperx[92].start 3986.192
transcript.whisperx[92].end 4011.973
transcript.whisperx[92].text 非常沉痛今天必須用一個法官一個書記官的生命來去告訴大家今天法官過了現在我們的司法你可以看到案件大幅增加是不是秘書長大幅增加我們2016到2023年地方法院受理案件數從308萬增加到391萬
transcript.whisperx[93].start 4015.964
transcript.whisperx[93].end 4017.905
transcript.whisperx[93].text 漲幅27%那我想請教我們現在的法官他是從2016的2071人變成2196人只成長6%請問秘書長這些法官過去這麼多年來的過勞的心聲我們的司法院有掌握嗎?
transcript.whisperx[94].start 4042.142
transcript.whisperx[94].end 4045.364
transcript.whisperx[94].text 我要跟各位說,去年司法院在立法院報告的時候是希望把員額提高到22000人嘛,對不對?
transcript.whisperx[95].start 4060.027
transcript.whisperx[95].end 4087.27
transcript.whisperx[95].text 這是以10年期的期程來報告來估算那今天的報告是說預算是估算需求差5536人那我想請問司法院如果以短中期3到5年來看需要多少元額大概我們目前是期盼我就是提出來這個5536人我跟秘書長說今天司法過了痛苦的不只是司法人員
transcript.whisperx[96].start 4088.857
transcript.whisperx[96].end 4108.55
transcript.whisperx[96].text 其實對於訴訟當事人也是如此因為他會降低司法的裁判品質你今天就讓司法人面臨兩難嘛一個就壓榨生命跟身體嘛 對不對那另外一個就是讓案件的訴訟品質下降這兩件事情對司法對全國官都不是好事情
transcript.whisperx[97].start 4109.281
transcript.whisperx[97].end 4131.526
transcript.whisperx[97].text 所以在這邊我知道上一屆委員有提案但因為新國會藉其不連續的關係所以上一屆的一些相關法要重新提出我這邊也說我願意當我們的基層司法人員的後盾所以對於中央政府機關總原額法第4條修正案提高第三類司法院及所屬機關職員的原額上限
transcript.whisperx[98].start 4132.146
transcript.whisperx[98].end 4155.893
transcript.whisperx[98].text 這部分我已經擬好了也會開始連述希望我們一起共同的來終結司法過勞改善司法品質就從修法開始所以也希望說今天我們的行政部門特別其他包括人事行政總署、考試院權序部還有法務部相關的單位其實司法官過勞不是法官而已啦對不對部長也包括檢察官
transcript.whisperx[99].start 4159.33
transcript.whisperx[99].end 4181.67
transcript.whisperx[99].text 對 檢察官就是司法官還包括了輔助人力檢察事務官還有包括書記官法警都是我們要注意要考量其實檢察機關也非常辛苦我覺得案件減量可能不只是透過員額而已還有包括說今天怎麼讓案件更親自分工這個部分我也會提出一些意見提供法務部參考 以上
transcript.whisperx[100].start 4183.646
transcript.whisperx[100].end 4211.934
transcript.whisperx[100].text 好,謝謝羅委員、謝謝兩位秘書長、部長接下來有請謝委員、榮介發言主席,我請補充到秘書充一下好,有請秘書長、部長委員好
transcript.whisperx[101].start 4213.686
transcript.whisperx[101].end 4231.656
transcript.whisperx[101].text 秘書長 非常心疼用在優秀的司法人員的姓名還可以喚起大家對這個司法改革突顯到這裡的人司法人員的辦案的壓力這麼大我感覺這對我們的社會他們所付出的代價最大你有這樣的感覺嗎
transcript.whisperx[102].start 4243.692
transcript.whisperx[102].end 4262.886
transcript.whisperx[102].text 當然是深切感受你為了這樣再來提出這個改革醫化越多智能化越多結果司法人員壓力越大這是內部有問題啊不是法官有問題啊尤其是大法官還在會議我頂多就問過你了你告訴我你都沒態度你不是大法官
transcript.whisperx[103].start 4272.264
transcript.whisperx[103].end 4275.365
transcript.whisperx[103].text 你要有一個態度出來嘛!
transcript.whisperx[104].start 4275.365
transcript.whisperx[104].end 4276.025
transcript.whisperx[104].text 台灣官如果會試就對了!
transcript.whisperx[105].start 4276.025
transcript.whisperx[105].end 4279.086
transcript.whisperx[105].text 阿伯在案訴驚會更多!訴我領完本人的案例就對了!
transcript.whisperx[106].start 4279.086
transcript.whisperx[106].end 4279.306
transcript.whisperx[106].text 會更大!
transcript.whisperx[107].start 4279.306
transcript.whisperx[107].end 4279.326
transcript.whisperx[107].text 對不對?
transcript.whisperx[108].start 4279.326
transcript.whisperx[108].end 4280.926
transcript.whisperx[108].text 是不是這樣?這是一個骨鐵屬性的!
transcript.whisperx[109].start 4280.926
transcript.whisperx[109].end 4281.526
transcript.whisperx[109].text 阿台灣官都不用討論!
transcript.whisperx[110].start 4281.526
transcript.whisperx[110].end 4282.166
transcript.whisperx[110].text 大家都吃飯卡中了!
transcript.whisperx[111].start 4282.166
transcript.whisperx[111].end 4283.026
transcript.whisperx[111].text 能做到台灣官還在吃飯卡中?
transcript.whisperx[112].start 4283.026
transcript.whisperx[112].end 4283.046
transcript.whisperx[112].text 靠!
transcript.whisperx[113].start 4299.537
transcript.whisperx[113].end 4304.621
transcript.whisperx[113].text 尤其像我本人 立法院的立法官 當初我就跟你說過 保證你一生就對了 做一個司法人員 會做個保證我跟你說 已經是對你的司法性愛 已經是完美的一個過程了但最後 在最後這個階段 你如果能夠再發揮你的功能
transcript.whisperx[114].start 4326.769
transcript.whisperx[114].end 4330.331
transcript.whisperx[114].text 可以在這個灰燈熄熄的地方在前面辯論你的訴求有證明你在這裡跟本席的答覆說你準備好了沒有顧及人民的感情什麼叫做要看民意作為為什麼不用看民意作為如果司法不用顧及民意沒關係
transcript.whisperx[115].start 4353.835
transcript.whisperx[115].end 4361.822
transcript.whisperx[115].text 當時司法可以傷害人民對地安、基台的感情嗎?你有沒有看到我們現在的年輕人在吃頭肉?去應徵!去我們陪你!再出國!動輒可以一個月給你五六萬!結果回來台灣的時候藥劑減一粒!某種就負減一項!
transcript.whisperx[116].start 4380.265
transcript.whisperx[116].end 4387.389
transcript.whisperx[116].text 先祭 去擁歌不是在國外的 不是在政府在內是在台灣的先祭 送死小女孩在我們這麼多北海 炸片這麼多你還在那裡灰燈熄熄實在講的齁 長者的發展自由齁 隆重
transcript.whisperx[117].start 4408.24
transcript.whisperx[117].end 4432.798
transcript.whisperx[117].text 比算到幾個 沒錯比算到幾個 十幾個十幾個就像在拔河就對了 柴拔也贏 經酸臭也贏經十五個就一百公斤的 對你們三四個就五十公斤的 你是要怎麼救的所以你幾乎靠民意把你停啦 八十四%的民意就是你的囂張啦 整個辯論下來 沒錯
transcript.whisperx[118].start 4438.834
transcript.whisperx[118].end 4450.577
transcript.whisperx[118].text 我在這裡告訴你 你有拿去贏了美國還沒有進步說進步的社會就要輝煞私營我聽你哭在哭的美國沒有進步美國整個州也是一樣私營 它都不去維新日本還沒有進步韓國還沒有進步新加坡還沒有進步
transcript.whisperx[119].start 4464.301
transcript.whisperx[119].end 4480.788
transcript.whisperx[119].text 是如何他們的私營都沒有危險?是如何過去我們的私營都沒有危險?你現在要將它促成危險?剛才柯總召來我告訴你,我說台灣現在存兩個人,能把這個私營的心魄變成你的解說,當然要多存兩個人。存兩個人啊,你是第三個啊。第一個就發生在你的柯建民。
transcript.whisperx[120].start 4493.486
transcript.whisperx[120].end 4510.019
transcript.whisperx[120].text 他跟我說他反對:他有發FB:說他要跟我站在一起我聽到很感動啦跟我站在一起沒用啦要跟人民站在一起 要跟正義站在一起啦臨權 什麼人沒有捍衛臨權啦你帶我去哪裡有捍衛臨權 我都沒有在捍衛臨權那些人去用台詞:他去台詞把人的信交收在那些人的臨權
transcript.whisperx[121].start 4519.329
transcript.whisperx[121].end 4528.033
transcript.whisperx[121].text 事情發生後:做乾緩科、泰藍、泵灰色後:還要期待到法律讓他穩定:來紓克他的靈魂哇!你這個大法官是怎樣?大到三都請不下來看不就對整個辯論落來?你會看我 因為剛才你說到 盧委員在問你 我聽到你很害怕你配套都準備好了 你不知道想要退牛?
transcript.whisperx[122].start 4550.169
transcript.whisperx[122].end 4574.234
transcript.whisperx[122].text 這是你人生最好的一件 說什麼我們的立場很清楚我們已經表達了我們堅定的立場認為死刑的規定是合憲的但是大法官他們釋憲的結果是如何我無法預期但是他不管怎麼樣的結果我們都有預擬各種方案這段時間我已經在反映在鏡
transcript.whisperx[123].start 4576.735
transcript.whisperx[123].end 4589.683
transcript.whisperx[123].text 只要我們的法官主宣就對了,復出社名的時候,這個人就像叫你去外面走走的,叫你在司法院玩就直接去外面走走的,這款司法委員就對了,給他解說出來的現法,你不開心他的革命他站在那裡,你不開心他的革命他站在那裡,所以
transcript.whisperx[124].start 4602.049
transcript.whisperx[124].end 4616.699
transcript.whisperx[124].text 沒有顧及人民的感情甚至是傷害人民對司法的期待一點是極其依偎不可本身在這裡我跟你說你不能退牛因為你剛才說的不需要退牛阿爸有配套你都太好了
transcript.whisperx[125].start 4617.837
transcript.whisperx[125].end 4638.973
transcript.whisperx[125].text 包括河瀉包括維瀉我們都要想清楚嘛要準備啦 當然所以...你選擇河瀉就好了啦 維瀉你不用想啦因為他選擇出來 你已經公認撤休啦所以這是你最好的一件你要在你理會前陣喔 做明確本席跟你請求啦本席代表共產黨的台灣人民 無奈的台灣人民在這裡跟你拜託
transcript.whisperx[126].start 4647.492
transcript.whisperx[126].end 4673.62
transcript.whisperx[126].text 你要離開法務部部長進行你三十名你對著緋毒私營合憲是合憲的私營是合憲的你公開發表因為你有能力會擋牛鑽乾坤還有另外一個就是羅清德我已經公開跟他互約了如果清德那些你今天不想表態不管你表態
transcript.whisperx[127].start 4675.12
transcript.whisperx[127].end 4686.588
transcript.whisperx[127].text 待法官改帥之後若是違憲.未來在我們的奧法.台灣人民付出的代價.所有的政筆責任、特定責任.都是你老總統要去承擔.
transcript.whisperx[128].start 4691.361
transcript.whisperx[128].end 4710.107
transcript.whisperx[128].text 這對他不公平但是.他有能力.他若要重點不出聲.相對.他就要付出這個代價.在你司法臨生完畢的過程中.本席.你拜託.你能承諾嗎.在你要理會進行.針對.這個施行是合憲.來表達一個強力的心聲出來.給台灣人民.
transcript.whisperx[129].start 4721.508
transcript.whisperx[129].end 4746.78
transcript.whisperx[129].text 法務部已經表達幾個半了我們的立場都很堅定了就是領域施行的規定是合憲的這已經很清楚了我們也發了好幾次的說明你用你個人最好做一番表達可以嗎現在我沒有我個人的信任我現在仍然是代表法務部啊你的意思就是五位五位你很快要表達就對了
transcript.whisperx[130].start 4749.761
transcript.whisperx[130].end 4774.457
transcript.whisperx[130].text 沒有啦,他這個還沒出來嘛,他的視線結果還沒出來嘛你還要捍衛啊我當然啦,我從頭到尾都捍衛在那裡啊你還要用合憑的角度去捍衛啊有啊,我沒改變啊,從頭到尾我們都一貫的立場啊你不能影響分析對你一生形象的角度呢感謝啦真的啊,你問他個人化學是不是很形象,他的興趣很豐盛
transcript.whisperx[131].start 4777.526
transcript.whisperx[131].end 4793.018
transcript.whisperx[131].text 所以你看看 白白不想把我捏到後面 嘿 民進黨大家都這樣 保證你要替我造成咧 對不對 我們是站在公義和道義這邊 站在正義這邊 所以我強烈在這裡 包括台法官跟那個
transcript.whisperx[132].start 4796.052
transcript.whisperx[132].end 4802.456
transcript.whisperx[132].text 無期徒刑、家屬療養、阿伯行徒,以前在改水基因內下落!你會去買嗎?會去買嗎?本省已經在強烈表達對待法官,百姓立法院立法官的抗議啦!所以在這裏保證,期待你﹐可以在任性司法完畢的最後一天﹐告台灣人民兩千三百萬人站在這裏,感謝你!
transcript.whisperx[133].start 4825.171
transcript.whisperx[133].end 4827.974
transcript.whisperx[133].text 謝謝謝謝謝委員、謝謝部長秘書長接下來有請專委員瑞雄發言謝謝主席,要請我們法務部
transcript.whisperx[134].start 4853.541
transcript.whisperx[134].end 4854.284
transcript.whisperx[134].text 有請蔡部長和吳秘書長
transcript.whisperx[135].start 4863.276
transcript.whisperx[135].end 4883.088
transcript.whisperx[135].text 剛才的廢除署刑,大家說的解說,兩件事叫你們表態,我是覺得比較沒意思,你們怎麼表態?大法官,尤其是憲法法庭,他不是哪一個政黨的憲法的法庭哪怕說他做出來的一個憲法法庭的大法會議解釋出來以後,一筆錢都比較大
transcript.whisperx[136].start 4887.631
transcript.whisperx[136].end 4902.86
transcript.whisperx[136].text 秘書長,我記得我從大一開始,幾個有名的問題,要不要廢除死刑,這個在法學院一年級裡面大家都在辯論這個問題,當年還有同婚的問題。
transcript.whisperx[137].start 4908.966
transcript.whisperx[137].end 4933.685
transcript.whisperx[137].text 還有代理運聞的問題這個東西你看幾十年後都是社會上碰到的問題社會是在進步的但是大法官這整個憲法法庭會做出什麼樣的一個決定那確實是很難各個機關裡面去受到它的去對它有任何的一個影響我也不認為說法務部
transcript.whisperx[138].start 4935.286
transcript.whisperx[138].end 4962.845
transcript.whisperx[138].text 發表你們的聲明完以後還要去大家好像要每一個人都要去影響去主導整個憲法法庭這些大法官他們對整個憲政所做出的一個解釋對法律的說出一個解釋到底是不是合憲但是有幾個問題我倒是要來關心不管是司法院或者法務部我今天早上看到本來是士林地院那個法官比較
transcript.whisperx[139].start 4965.748
transcript.whisperx[139].end 4976.26
transcript.whisperx[139].text 今天也看到高等法院成行法官議事醒過來了這個是比較值得欣慰的一個地方但也代表這個工作環境那確實是壓力甚至於大家講說這個過勞這個案件裡面
transcript.whisperx[140].start 4978.783
transcript.whisperx[140].end 4993.497
transcript.whisperx[140].text 值得兩位部長跟秘書長好好地去做一個省思你說從台灣各地方法院新收案量來看刑事案件於2021年的41多萬件上升到2023年50多萬件案量3年內成長了22%
transcript.whisperx[141].start 4998.061
transcript.whisperx[141].end 5017.709
transcript.whisperx[141].text 司法人力不管檢察官或法官都一定會長緊繃我看日前司法院許中立院長公開回信裡面目前司法師傅的困境也引起了很多法官的不滿雲林地安法院、台北地院、桃園地院、高雄地院法官在專欄裡面也去講
transcript.whisperx[142].start 5018.849
transcript.whisperx[142].end 5035.58
transcript.whisperx[142].text 我不曉得兩位都是法律人來想想問題出在什麼地方翁毓昇前院長被你引來發官給三八十三個這可能秘書長你待會回答吧檢架的比例22.96賴浩敏6年內增加228增幅12.3那任期只有3年的賴英照增加167 還有9.9現在許中立院長7年多現在人家跟他說只有檢架125、檢架6%而已
transcript.whisperx[143].start 5048.632
transcript.whisperx[143].end 5071.783
transcript.whisperx[143].text 那這個儘管在我們2019年修正中央政府機關的總原額法將原額上限從13900提升到15000補充1100的一個人力但是你法官只增加124其他都是書記官337法官助理426這當然就是其他都是輔助人力法官原額實際上也沒有增加可是以現在來看的話
transcript.whisperx[144].start 5072.864
transcript.whisperx[144].end 5084.72
transcript.whisperx[144].text 秘書長是不是可以解釋一下?有誰在質疑啊?我們那個洗驗長他有增加的人數是比較多啦我們人數 人數處長有一個很精準的一個數字
transcript.whisperx[145].start 5086.967
transcript.whisperx[145].end 5107.485
transcript.whisperx[145].text 這裏保證 抱歉喔 還是先有人回答這裏委員 容我報告一下就是說因為我們一個司法官的考試因為法官的來源主要是司法官特考那一個司法官特考從考試到分發需要三年的時間所以許院長的任期前三年分發的法官事實上是前一任的院長提報考試需用名額的那其實我們從100
transcript.whisperx[146].start 5108.826
transcript.whisperx[146].end 5118.55
transcript.whisperx[146].text 人事總署從108年底修正了機關總原額法之後那個預算的增加是實現在110年因為109年的預算在108年年中就已經編列完成了所以真正要增加原額是從110年開始那所以我們從109年開始報告那個法官續用名額是大量的提報以109年到113年來講我們總共報了448個法官續用名額
transcript.whisperx[147].start 5133.655
transcript.whisperx[147].end 5163.395
transcript.whisperx[147].text 那只是說像我們從112年開始報考的都要到115年111年啊開始報到要114年才能分發對不對那都不是許院長任期內他任期今年屆滿的話都是下一任的院長會開始收成這個所增加的法官的這個餘額所以說許院長這個任期內只有增加法官124人其實不是很公平的說法所以你們的意思就是說你們很努力在做啦成果還沒出來啦成果到最後是下一任的人會收成啦
transcript.whisperx[148].start 5163.575
transcript.whisperx[148].end 5184.808
transcript.whisperx[148].text 財政委員您看我們為什麼都增加在輔助人力因為輔助人力還快他今年報考是明年就可以到位所以我們大量增加法官助理那個其實書記官我們也是增加很多人當然報載我就要讓你們去澄清了但我的重點不在這個地方了我的重點是人力確實缺少蔡部長你像我像司法院法官會碰到這個問題你檢察官也會碰到這個問題啊你再看你們的家庭這樣搞不搞
transcript.whisperx[149].start 5189.597
transcript.whisperx[149].end 5217.355
transcript.whisperx[149].text 這幾年你看你們一直在講說打詐啦那整個刑事案件大家不管是檢察官或者法官每一個新收的一個案件量從過去的十幾件飆到也有破百件的那這些喔你看一下你們現在一個詐欺案件看起來又車手啦有的沒的啦共犯啦一堆啦這個牽涉的範圍很廣泛啦常常都是一個案件裡面喔 怕死人牽涉的就幾十個被告的情節也非常複雜我相信法官跟檢察官人力多
transcript.whisperx[150].start 5218.115
transcript.whisperx[150].end 5225.298
transcript.whisperx[150].text 致敬,法務部部長,您的人力的缽南嗎?我也是極力的爭取、爭額,包括從110年,從109年到110年,110年到180年
transcript.whisperx[151].start 5237.743
transcript.whisperx[151].end 5264.709
transcript.whisperx[151].text 一百一十一年 後四年 超過六百個這是我努力去爭取 但是還是不夠後來也有再爭取到檢察官助理不然我們一百個 幾年 今年要超過六百五個但是最終還是要法治化就是說 法院組織法可以訂定檢察官助理有一個實際的名額所以這都開始要努力當然工作的減量也要做你說的詐欺案件
transcript.whisperx[152].start 5265.649
transcript.whisperx[152].end 5266.21
transcript.whisperx[152].text 有工作的配套來減量
transcript.whisperx[153].start 5284.178
transcript.whisperx[153].end 5299.076
transcript.whisperx[153].text 一、我們現在司法人員的社會的一個公信我們來幫你們爭取這一些其實都有一點壓力你知道嗎但本席倒是認為說司法案件不管是怎麼審
transcript.whisperx[154].start 5300.595
transcript.whisperx[154].end 5321.636
transcript.whisperx[154].text 民調都沒管啦 涉及到兩招啦一個案子審出來我跟你講啦 原告他搞不好也不滿意啦 被告也不滿意啦連法官搞不好到最後你對於甚至於是你做出來的一個判決你評議出來以後啊 你們都會覺得自己都覺得不滿意啦連檢察官起訴以後法官判出來搞不好法官判的人檢察官都不滿意啦
transcript.whisperx[155].start 5322.617
transcript.whisperx[155].end 5322.817
transcript.whisperx[155].text 以德國為例10萬人27個法官
transcript.whisperx[156].start 5352.967
transcript.whisperx[156].end 5381.343
transcript.whisperx[156].text 秘書長,我們台灣幾個人分配幾個法官?我們10萬人分配幾個法官?現在法官有2100不是啊,我說帝國10萬人去七個啦,我們台灣10萬人幾個?九個所以也就是說我們去跟其他國家來做比較的話,我們整個法官人數啊你可以想像這些司法工作者他們要面對多大的一個壓力啊那是不是啊,你看這一些法官在控訴
transcript.whisperx[157].start 5382.489
transcript.whisperx[157].end 5399.587
transcript.whisperx[157].text 秘書長你有沒有看到?我剛才說的法官的控訴,裡面現在司法第一線的法官給他一點解釋當然你們剛剛有提到啦,說這個人力的評估的一個機制,要從總院後來看那你們到底什麼時候有辦法把這個問題解決掉?秘書長
transcript.whisperx[158].start 5404.113
transcript.whisperx[158].end 5426.207
transcript.whisperx[158].text 這個當然要乞託並進啦就是總言而法當然要能夠提高上限啦那我們內部當然有一部分我們自己也要如何裁判所簡化這一部分還是要繼續努力啦您創作比較固定的啦我們司法法制委員會我們跟你集齊啦這個問題吵了幾年了啦這樣不是辦法啦
transcript.whisperx[159].start 5426.806
transcript.whisperx[159].end 5450.419
transcript.whisperx[159].text 你像比如說真的司法改革的地方要改革的地方確實是很多啦你像現在以廢除以結案為中心的管理考核的一個機制我看許中立院長在4月12號寫給法官的信也講說以延長刑事詐欺案件的辦案期限以外另將研議犯官相關管考的一個規定對於法官職務的評定不以法官為結案數多寡當成唯一的一個標準這對
transcript.whisperx[160].start 5452.12
transcript.whisperx[160].end 5452.54
transcript.whisperx[160].text 社會一直進步起來後
transcript.whisperx[161].start 5480.802
transcript.whisperx[161].end 5489.429
transcript.whisperx[161].text 一定會面臨各式各樣的一個犯罪手法不同各樣的刑事案件你一定都會遇到這是我們說刑事而已民事會博文又沒有什麼出來說可能就沒有那麼嚴重像這個部分我們請這個司法院或者法務部這邊對這一些建議還有評鑑的一個機制的一個精進要有更積極的一個作為出來我不會像這樣用吶喊式的把你罵的那些人都不會進步
transcript.whisperx[162].start 5510.265
transcript.whisperx[162].end 5511.026
transcript.whisperx[162].text 法務部這個地方跟司法院這個地方 你們有這個責任
transcript.whisperx[163].start 5535.06
transcript.whisperx[163].end 5547.305
transcript.whisperx[163].text 我們一定會努力就是說要齊頭併勁最主要剛剛講齊頭併勁我從上大學就一直在聽司法改革喊了這幾十年我當第四屆的立法委員我沒有看到我們司法受到更好的一個評價這個是我心裡頭比較
transcript.whisperx[164].start 5565.066
transcript.whisperx[164].end 5566.547
transcript.whisperx[164].text 接下來有請黃委員、國昌發言
transcript.whisperx[165].start 5599.764
transcript.whisperx[165].end 5603.508
transcript.whisperx[165].text 謝謝主席,然後有請秘書長、法務部部長好,請秘書長跟部長
transcript.whisperx[166].start 5615.692
transcript.whisperx[166].end 5633.782
transcript.whisperx[166].text 兩位好2017年施改國事會議改善法官具體的工作條件是我們做成的會議結論也是蔡總統針對整個司法環境所做出的莊嚴承諾2017年施改國事會議蔡總統做了這樣的承諾
transcript.whisperx[167].start 5642.492
transcript.whisperx[167].end 5663.196
transcript.whisperx[167].text 2024年我們看到的是法官包括書記官因為工作的壓力限制過勞而離開這個人事我相信大家看了心裡都很難過我比較訝異
transcript.whisperx[168].start 5671.949
transcript.whisperx[168].end 5691.956
transcript.whisperx[168].text 許宗立大法官也是我們的司法院院長去維穩基層我覺得是該做的但他說跟法官說請大家多參加戶外活動不要整天綁在辦公室這句話表面上面聽起來也沒有什麼錯
transcript.whisperx[169].start 5693.669
transcript.whisperx[169].end 5718.674
transcript.whisperx[169].text 但是在法官實際的眼中在他眼裡他是不是活在象牙塔裡面不知道法官實際的工作狀態好像法官有自戀癖自虐癖才不願意出去活動對於基層法官發出這樣子的呼聲來請教一下秘書長司法院有什麼回應
transcript.whisperx[170].start 5722.341
transcript.whisperx[170].end 5727.045
transcript.whisperx[170].text 其實法官發出這樣子的怒吼,大院長後來有沒有把他的話收回去?
transcript.whisperx[171].start 5755.529
transcript.whisperx[171].end 5778.696
transcript.whisperx[171].text 就司法院院長,我們法律人就叫大院長嘛司法院院長後來還有話收回去嗎?這個應該他是出於是出於一個善意啦善意的就是說要請要注意身心健康沒有關係啦,因為我說了大院長第一時間去問法官
transcript.whisperx[172].start 5779.795
transcript.whisperx[172].end 5801.528
transcript.whisperx[172].text 我覺得這是該做的一個司法首長本來就應該該做的他是整個司法體系、法官體系的大家長但當他說出這樣子的話引爆基層法官的怒火的時候我覺得適度的回應或者是說明是必要的再請司法院參考
transcript.whisperx[173].start 5803.519
transcript.whisperx[173].end 5830.996
transcript.whisperx[173].text 法官協會希望一個月內提出減輕法官工作負擔的具體措施我拜讀了今天司法院提出來的書面報告大概一半以上是說明你們過去做了什麼事情大概也就是許中立院長在他給法官的公開信裡面所寫的那些東西的摘要但大家現在更在意的事情是你們過去做了什麼事情
transcript.whisperx[174].start 5832.543
transcript.whisperx[174].end 5838.96
transcript.whisperx[174].text 從法官的角度將心比心從他們的立場來看這件事情顯然是沒有發揮實際的效果
transcript.whisperx[175].start 5840.751
transcript.whisperx[175].end 5867.807
transcript.whisperx[175].text 要不然法官協會不會發這樣的聲明司法院有沒有打算要在一個月內提出減輕法官工作負擔的具體措施還是司法院你們認為你們已經提了如果你們認為你們已經提了提的內容是什麼請說明我們會法官協會他的聲明我們非常重視我們會盡量在一個月內就是我們也有陸續的比如說
transcript.whisperx[176].start 5869.109
transcript.whisperx[176].end 5889.277
transcript.whisperx[176].text 這個昨天也已經把這個相關的辦案起線就走移了這樣好不好齁你們在一個月內回應法官協會具體要採行的措施你們要具體在採行的措施同時一份報告給司法法制委員會全體的委員可以嗎可以可以齁好
transcript.whisperx[177].start 5890.697
transcript.whisperx[177].end 5913.494
transcript.whisperx[177].text 因為司法院在書面報告也說啦說機關總原額要用盡了你們要積極爭取人力但我看到你們爭取人力的那個數字我老實講我自己看了嚇一大跳但我們先就事論事從現在的狀態來講因為司法院的書面報告是說現在預算原額還不夠你們還希望繼續爭取這個我們可以理解但
transcript.whisperx[178].start 5914.435
transcript.whisperx[178].end 5942.883
transcript.whisperx[178].text 人事總署給立法院的報告寫的就是完全另外一回事讓我看了很困惑因為人事總署他們寫的是說司法院到目前的預算原額他有多撥補給你們啊你們平均的缺額還有751個人換句話說人事總署的意思似乎是原額有給你們但是你們沒有用這個是怎麼回事這個這一部分我們昨天有就人事行政總署那個
transcript.whisperx[179].start 5944.288
transcript.whisperx[179].end 5968.102
transcript.whisperx[179].text 七百五十一人我們有研究過這一部分我們處長他有請我跟委員報告一下其實人事總署他的統計數字是來自於我們每半年每半年要月報一次就是那個機關的這個浮動的缺額情形包括就是考試分發列管還有就是領補中還有就是要等的要檢列委外的公有員額
transcript.whisperx[180].start 5968.982
transcript.whisperx[180].end 5984.261
transcript.whisperx[180].text 所以大概這樣子從108人到112人的平均數確實是751但是要強調說這751不是閒置員額他都是考試分發列管比如說我們提報司法官考試100人所以按照你剛剛找的那個計算的方式現在員額全部用慶的是嗎?
transcript.whisperx[181].start 5985.262
transcript.whisperx[181].end 5988.643
transcript.whisperx[181].text 我這樣講好了不好意思容我打斷你你們這樣給的資訊太破碎了你們給的資訊太破碎了
transcript.whisperx[182].start 6009.929
transcript.whisperx[182].end 6036.875
transcript.whisperx[182].text 你們現在有多少元額?所有的元額是怎麼分配的?還缺多少?然後裡面還沒有用的元額預計是今年或者是明年要用到什麼地方可不可以給司法法制委員會一個完整的表啊?法律人做這樣子一個完整的資訊的呈現應該沒有問題嘛現在在立法院的報告裡面完全沒看到啊
transcript.whisperx[183].start 6038.786
transcript.whisperx[183].end 6041.043
transcript.whisperx[183].text 秘書長 這件事情請改進好不好
transcript.whisperx[184].start 6042.051
transcript.whisperx[184].end 6071.177
transcript.whisperx[184].text 報告委員那個護表二是我們目前提出就是擊破需求的菸了我知道啦那是你們開的需求我必須要老實講啊從我的角度上來看這個數字非常的龐大非常的可怕但我們需要知道的是什麼在現在的預算原額裡面你們到底是怎麼用這些原額的如何分配的具體的數字公開透明讓社會法制委員會的委員讓社會知道可以嗎
transcript.whisperx[185].start 6072.853
transcript.whisperx[185].end 6076.836
transcript.whisperx[185].text 因為目前的狀況我就以地方法院民事強制執行收案的情況來看
transcript.whisperx[186].start 6097.338
transcript.whisperx[186].end 6113.384
transcript.whisperx[186].text 因為我在法院基層法院說到的呼聲是地方的民事執行處快要崩潰了快要崩潰的理由很簡單你看數字是呈現這樣子在增長的從140幾萬件2020年的現在已經漲到180幾萬件了這個是週案的狀況
transcript.whisperx[187].start 6121.058
transcript.whisperx[187].end 6149.005
transcript.whisperx[187].text 我們如果看沒有終結的狀況從以前大概基案7萬現在已經double了到14萬地方法院強制執行沒有終結的案件堆積如山目前立法院目前司法院做了什麼因為最主要像執行那個就是保單現在執行的範圍所以那一部分的案件增加很多啦我現在不是問你原因啦我現在問你的是你做了什麼
transcript.whisperx[188].start 6150.241
transcript.whisperx[188].end 6162.109
transcript.whisperx[188].text 因為現在尤其影響最大的是臺北地驗我們最近有趕快補充相關的人力你最近補充相關的人力什麼時候補充的?補充了多少人?
transcript.whisperx[189].start 6165.927
transcript.whisperx[189].end 6182.942
transcript.whisperx[189].text 報告委員因為民事強行執行處主要人力是司法事務官以及書記官、執達員所以在今年的提報司法人員特考的需用名額按照你說的啦特考的名額什麼時候才會進來明年這是一般人力
transcript.whisperx[190].start 6183.983
transcript.whisperx[190].end 6199.44
transcript.whisperx[190].text 我現在問的是這個堆積如山的趨勢不是今天才知道不是上個月才知道不是上上個月才知道我現在請教你們的是你們做了什麼結果你告訴我說你們特考名額增加明年後年人才會進來
transcript.whisperx[191].start 6200.401
transcript.whisperx[191].end 6201.762
transcript.whisperx[191].text 所以我剛剛具體的就問司法院你們到目前為止做了什麼回答一個問題有這麼困難嗎
transcript.whisperx[192].start 6224.403
transcript.whisperx[192].end 6253.315
transcript.whisperx[192].text 一樣針對堆積如山的事情到目前為止做了什麼這件事情可不可以會後書面報告給全體的委員可以嘛最後時間的關係我要請教一下2016年的時候換總統司法院的這副院長那個時候就請辭了
transcript.whisperx[193].start 6255.54
transcript.whisperx[193].end 6273.184
transcript.whisperx[193].text 2016年的時候民進黨也是這樣主張新總統上任司法院正副院長應該請辭那個是當初我們的執政長提出的訴求現在520快到了司法院正副院長要不要循慣例請辭請秘書長
transcript.whisperx[194].start 6278.268
transcript.whisperx[194].end 6291.594
transcript.whisperx[194].text 這個 我不變代言我知道你不變代言但我公開提出這個問題2016年的時候當初現在的司法院正副院長正是因為當時的司法院正副院長因為總統換人而請辭
transcript.whisperx[195].start 6293.752
transcript.whisperx[195].end 6314.861
transcript.whisperx[195].text 他們才上台的現在2024年的今天要不要循憲政慣例請職這件事情我了解秘書長不願意代答但我認為這一件事情現任的司法院的院長跟副院長要以他們的高度跟台灣社會清楚的說明謝謝好 謝謝黃委員 謝謝部長 謝謝秘書長接下來有請陳委員峻語發言
transcript.whisperx[196].start 6341.084
transcript.whisperx[196].end 6356.513
transcript.whisperx[196].text 好謝謝主席那有請我們吳秘書長跟蔡部長請吳秘書長跟蔡部長好秘書長、蔡部長早辛苦了喔
transcript.whisperx[197].start 6358.098
transcript.whisperx[197].end 6378.067
transcript.whisperx[197].text 我想我們今天就這個司法體系透過這個行政簡化、訴訟減量還有我們這個科技運用來降低基層司法人員負擔作為一個專題的討論那我想在兩週前所發生的這個法官墜樓的事件
transcript.whisperx[198].start 6379.227
transcript.whisperx[198].end 6407.979
transcript.whisperx[198].text 令社會各界感到非常的萬喜其中我們看到李法官在生前曾經向他的妻子表達我很累的這種心聲那顯示法官長期在這種高工時高壓力的環境工作下也讓我們再一次聚焦司法官過勞和司法體系負荷過重的這個問題那本席在上週諮詢我們司法院陳廳長的時候曾經詢問過他的工作壓力大不大
transcript.whisperx[199].start 6408.78
transcript.whisperx[199].end 6414.692
transcript.whisperx[199].text 那廳長以過來人的這個身份也表達了這個法官壓力確實是非常的大
transcript.whisperx[200].start 6415.734
transcript.whisperx[200].end 6443.96
transcript.whisperx[200].text 而我很累這個三個字也是目前所有法官的一個共同心聲那從這個憾事發生之後我們看到司法院在4月17號召開檢討會議其中作成一項決議參酌合法工時研議法官的這個合理結案量那我想請教秘書長您認為對法官來講合法的這種工時是多長合理的結案量又是多少
transcript.whisperx[201].start 6446.431
transcript.whisperx[201].end 6453.635
transcript.whisperx[201].text 那假如通常是能夠在上班時間之內來做,來服務,通常是這樣,那至於說
transcript.whisperx[202].start 6460.959
transcript.whisperx[202].end 6478.935
transcript.whisperx[202].text 在這個合理結案量我們內部正在明天就會召集一個一二三審報告法官協會的這個有關同仁啊一起來研究看一二三審的合理結案量到底多少
transcript.whisperx[203].start 6479.275
transcript.whisperx[203].end 6503.933
transcript.whisperx[203].text 好 秘書長您還是比較主張就是能夠遵循我們這個公務員服務法第12條這個每日辦公的時數8個小時那每週辦公總時數不超過40小時那應該也要40的這個週休二日我相信應該是這個目標可是我看起來目前應該是都沒辦法達成還是很難啦很難喔
transcript.whisperx[204].start 6505.894
transcript.whisperx[204].end 6533.154
transcript.whisperx[204].text 委員對不起報告委員其實我們司法院有定一個辦公時數規則就是完全遵循委員剛剛提示的那個公務員服務法的那個工時限制那因為我們的法官工作真的繁重加上社會期待高自我期許也高所以法官真的基於責任感都會自發性的在加班導致工時延長要不然就法規的架構而言我們都其實都有規定法定的辦公時數以外再怎麼加班也不能夠超過每個月70小時好
transcript.whisperx[205].start 6534.375
transcript.whisperx[205].end 6536.355
transcript.whisperx[205].text 那法官每天都在追著案件跑
transcript.whisperx[206].start 6564.501
transcript.whisperx[206].end 6581.82
transcript.whisperx[206].text 面對眼前海量的這種案件每天的工作時間恐怕都超過十幾個小時假日也幾乎都沒辦法正常的休假都在加班不只是這樣造成心理壓力的過大也會嚴重影響到法官的健康
transcript.whisperx[207].start 6582.591
transcript.whisperx[207].end 6611.859
transcript.whisperx[207].text 那減輕法官的這個工作負擔作為我們司法院司法改革的一個重點本席也曾經在第一次質詢的時候請教過秘書長秘書長當時答覆因為我們這個人力不足所以希望在員額上面能夠多加幫忙但是我想除了增補人力之外在分案上、程序上還有管考制度上應該都還有調整和改善的空間那也有一期檢討的這個必要性
transcript.whisperx[208].start 6612.339
transcript.whisperx[208].end 6628.291
transcript.whisperx[208].text 司法院開完這個檢討會議也不應該只停留在研議或是期盼那我想請教秘書長對於減輕法官的這個工作負擔的目標究竟何時能夠提出具體的改善措施有沒有規劃改善的這個時間表
transcript.whisperx[209].start 6629.714
transcript.whisperx[209].end 6646.001
transcript.whisperx[209].text 我們就是在一個內之內會呼應法官協會他提出來的就包括這個有關合理的結案還有就是說一些嚴考部分還有辦案期限要著量延長這樣
transcript.whisperx[210].start 6654.057
transcript.whisperx[210].end 6666.37
transcript.whisperx[210].text 不只法官,基層司法人員的處境也是應該要被受到尊重另外我們看到苗栗的地院有書記官疑是因為過勞而不幸病逝
transcript.whisperx[211].start 6667.031
transcript.whisperx[211].end 6693.027
transcript.whisperx[211].text 那書記官的職責是將法官檢察官的工作予以書面格式化那書記官們在處理繁雜的這個行政文書工作現在也受到案件量暴增的這個影響每天處在水深火熱當中甚至導致身體出了狀況那我想請教秘書長對於書記官的過勞以及如何來改善書記官的勞動環境司法院有沒有相關的這個檢討
transcript.whisperx[212].start 6695.815
transcript.whisperx[212].end 6703.239
transcript.whisperx[212].text 我們這一部分當然就是說會齊頭並進關於人力部分當然我們會盡量來請行政部門、人總部門來協助內部我們也會盡量就是說
transcript.whisperx[213].start 6717.206
transcript.whisperx[213].end 6717.226
transcript.whisperx[213].text 好.
transcript.whisperx[214].start 6732.725
transcript.whisperx[214].end 6747.86
transcript.whisperx[214].text 那如果我們從人員上來看書記官似乎還有難以留才的這個問題我們從近幾年的這個數據上四等法院書記官的缺額是越來越開越多了入局率也幾乎暴增
transcript.whisperx[215].start 6748.541
transcript.whisperx[215].end 6751.642
transcript.whisperx[215].text 司法院是否有掌握同仁離職的實際原因並擬定相應的流財措施?
transcript.whisperx[216].start 6768.418
transcript.whisperx[216].end 6792.025
transcript.whisperx[216].text 我跟委員報告我們每一個同仁不是只有書記官司法人員離職我們都會做離職原因的調查然後來彙整並且檢討改進然後我們書記官的問題就是司法人員最大的問題是他有很多核心工作不是一般的非限職人員可以取代跟行政機關不一樣
transcript.whisperx[217].start 6792.645
transcript.whisperx[217].end 6821.622
transcript.whisperx[217].text 像我們的很多像書記官開庭打筆錄這件事情還有在筆錄上簽名這種都是具有訴訟法上效力的就沒有辦法用一般的就是所謂職務代理人或者是說非限職人員委外人力來取代所以現在問題在核心人力沒辦法取代所以為什麼我們一直拜託說要爭取中央機關總原額的提高因為這個法官增加輔助人力就要加兩倍所以等於一個法官增加要乘以三倍的原額如果原額不增加的話那司法機關真的沒有辦法再
transcript.whisperx[218].start 6822.922
transcript.whisperx[218].end 6839.649
transcript.whisperx[218].text 我們還是希望我們司法院能夠這個更加來重視我們基層司法人員的這個處境並且能夠加以善加這個來改善我們讓我們所有的人才可以留在
transcript.whisperx[219].start 6840.169
transcript.whisperx[219].end 6858.122
transcript.whisperx[219].text 司法體系當中來服務那也讓這個同仁在合理工作中負擔合理的工作量才是長久之計另外我想我們剛剛有談到這個原額的部分我想從過去的討論當中不管是司法院還是法務部都有共同一個點就是人力不足
transcript.whisperx[220].start 6858.502
transcript.whisperx[220].end 6882.96
transcript.whisperx[220].text 那希望增加人力的部分從現行的總額、元額來看屬於第三類的司法院及所屬機關元額最高為15000人作為第四類的這個法務部所屬的這個檢查機關則為6900人那未來如果要再增加元額我想請教秘書長我們這個人事總署是否會支持
transcript.whisperx[221].start 6884.554
transcript.whisperx[221].end 6907.622
transcript.whisperx[221].text 我們目前我們當然盡力就請他們來協助但是我覺得我還是很期盼就是說可能要要一起來面對這種問題因為關於人民的司法受益錢這個是整個政府應該要要一起去面對的
transcript.whisperx[222].start 6909.113
transcript.whisperx[222].end 6936.572
transcript.whisperx[222].text 那當然也有另外有提出限量婚案的這種聲音但是我們會覺得這個不管怎樣司法受益前這個要政府我們全體有關的相關政府機關應該要共同來面對共同面對這個一定要一起克服不是只有我們我們司法部門的責任好 謝謝秘書長那我同時也請教我們部長那對於我們法務部的部分我們原額增加的部分
transcript.whisperx[223].start 6937.026
transcript.whisperx[223].end 6965.325
transcript.whisperx[223].text 是否也會受到我們這個人事總署的這個支持謝謝委員關心那法務部所屬的機關尤其是檢查機關人力不足確實也是存在的那我們現在檢查機關的法定員額是6900位那目前剩下的只剩下286位的員額而已事實上也是缺乏要再增加總員法能夠修正提高所以我們也會努力的來爭取
transcript.whisperx[224].start 6967.108
transcript.whisperx[224].end 6990.678
transcript.whisperx[224].text 好 所以那對於我們這個司法院還有法務部的這個人力配置和運用我們都予以尊重那由於人力的不可能無限制的這種補充重點還是極大化原額運用的這種效益那配合有效減輕負荷的這種措施讓司法人員的壓力能夠確實得到舒緩我相信這才是我們要
transcript.whisperx[225].start 6991.878
transcript.whisperx[225].end 7017.591
transcript.whisperx[225].text 為這些同仁來解決他們工作上的這個壓力的問題最大的一個目標我也請我們秘書長跟部長一定要這個竭盡所能來幫助我們基層這個同仁的這種問題來面對一起來面對好 以上好 謝謝好 謝謝陳委員 謝謝部長 謝謝秘書長先做預告稍後在吳委員私謠詢答完畢後休息五分鐘
transcript.whisperx[226].start 7018.692
transcript.whisperx[226].end 7019.232
transcript.whisperx[226].text 主席、秘書長吳秘書長
transcript.whisperx[227].start 7041.204
transcript.whisperx[227].end 7055.627
transcript.whisperx[227].text 秘書長,剛剛這個黃國昌總召有提到那因應如果政權總統要交接是不是司法院院長依憲政慣例就強制應當邀一併來請辭請問有這樣的憲政慣例嗎?這個...這個...我...據我的認知是...
transcript.whisperx[228].start 7069.175
transcript.whisperx[228].end 7089.831
transcript.whisperx[228].text 我的認知是應該是沒有啦我們就回到憲法的解釋建議黃國昌總召您學法律去看一看大法官釋字第419號到底司法院院長或是五院院長要不要依循著新任總統來一起來請辭大法官419號很清楚的告訴我們
transcript.whisperx[229].start 7090.692
transcript.whisperx[229].end 7112.901
transcript.whisperx[229].text 即便請辭那是一種禮貌性的請辭而不是一個強制的請辭所以在法律的解釋上也應當好好去看看大法官解釋的條文而我個人進一步的演繹在政權的交接但是蔡英文總統交接給賴清德未來的總統這畢竟還是同一個政黨
transcript.whisperx[230].start 7113.741
transcript.whisperx[230].end 7114.302
transcript.whisperx[230].text 我先發表我的意見,您同意我的論點嗎?
transcript.whisperx[231].start 7139.983
transcript.whisperx[231].end 7144.087
transcript.whisperx[231].text 我個人同意好 謝謝秘書長那進入今天的主題我個人認為現在所發生很多司法人員壓力過大那不幸選擇輕生的狀況其實除了是為司法人員來減壓更重要的是也是要正面來提升司法品質
transcript.whisperx[232].start 7161.084
transcript.whisperx[232].end 7164.586
transcript.whisperx[232].text 我想這個面向是國人更關切的所以從育才、攬才、留才的角度我們都要一起周延來討論下一頁我提出了五個建議很多也不是我的創建我只是把它歸納為司法人員減壓我們需要再做人力的改革
transcript.whisperx[233].start 7181.314
transcript.whisperx[233].end 7198.987
transcript.whisperx[233].text 第一大建議,你就要去攬財嘛,對不對?增補司法人力,那你去調整組織元額,我當然支持修法,而雙方政府機關總元額法要修就來修。但是呢,在現有的考試禁用跟多元禁用雙款旗下,我們是不是可以做得更多做得更好,在攬財面。
transcript.whisperx[234].start 7200.368
transcript.whisperx[234].end 7224.685
transcript.whisperx[234].text 第2個建議是我們是不是可以考慮對於司法人員的待遇是不是能夠做調整來增加人員的留任意願我不曉得你們有沒有研究這個部分我的經驗我長期在教育文化委員會我們今天討論司法人員減壓其實在大學的教授、副教授、助理教授的減壓工作量太大其實都
transcript.whisperx[235].start 7226.4
transcript.whisperx[235].end 7252.354
transcript.whisperx[235].text 是同樣可以適用這個經驗所以教育部提出了很多為大學的高教的老師提升他的待遇給予他新的誘因比如說我們給予了彈性薪資的方案我們給予其他的研究的補貼都是讓這些現役的教育人員今天在這裡是司法人員增加他的留才的意願我想待遇面也是一個可以考慮的面向 對不對
transcript.whisperx[236].start 7253.274
transcript.whisperx[236].end 7278.337
transcript.whisperx[236].text 第三個建議.如何來有效解決濫訴的問題.減少案源他跟第四點是相關的.就是落實金字塔型的訴訟制度.來適度調整裁判的費用我稍後來跟您論述細節最後一個.我們現在有的員工這個EAP協助方案.是不是接得住每一個司法人員的具體需求呢五大面向
transcript.whisperx[237].start 7279.238
transcript.whisperx[237].end 7279.638
transcript.whisperx[237].text 司法人員的出走潮
transcript.whisperx[238].start 7299.974
transcript.whisperx[238].end 7320.3
transcript.whisperx[238].text 針對司法院的法院人員近10年的離職統計出走575人法務部的檢察機關人員近10年出走431人加起來司法人員的出走潮是近10年破千人所以我才說剛剛的五大改進方案要趕快來做
transcript.whisperx[239].start 7321.34
transcript.whisperx[239].end 7338.296
transcript.whisperx[239].text 我們要遇財、攬財、和其困難那你至少留財要做得精準一點可是人才留不住啊司法人員不管是司法院的法官人員或者是我們的法務部主管的檢查機關的人員近十年出走破千人這當然要慎重來因應他下一頁
transcript.whisperx[240].start 7343.277
transcript.whisperx[240].end 7354.176
transcript.whisperx[240].text 我進一步來看這是你們提供的資料司法人員的缺人荒啊就法官含庭長需求人數這是2024新的數字就缺了499個法官
transcript.whisperx[241].start 7356.209
transcript.whisperx[241].end 7375.28
transcript.whisperx[241].text 那連同整個輔助人力、司法事務官乃至於你們家事調查官等等司法機關迫切需求緣額表2024年你們需求人力是5536人法官就500人欸這怕死人欸那這是你們提供的資料這是一個嚴重的缺人的警訊嘛好 下一頁
transcript.whisperx[242].start 7384.741
transcript.whisperx[242].end 7389.063
transcript.whisperx[242].text 那以剛剛那個表來講光法官就欠499人將近500人我再以這20年來我分兩個10年來統計前一個10年2004到2013年法官的增減人數前一個10年只增加301人
transcript.whisperx[243].start 7402.791
transcript.whisperx[243].end 7416.478
transcript.whisperx[243].text 後一個十年就是2014到現在的2023﹖法官增加的人員變一半捏只增加155人換言之我們的懶財比起前一個十年少了一半
transcript.whisperx[244].start 7417.853
transcript.whisperx[244].end 7435.869
transcript.whisperx[244].text 所以呢,花20年才能夠補上539人左右可是光法官你現在很珠息就欠被給我罷了所以換言之你要再補個20年才有可能把它補滿所以剛剛的五大建議五個建議缺一不可
transcript.whisperx[245].start 7436.75
transcript.whisperx[245].end 7465.687
transcript.whisperx[245].text 我這些背景研究都是再一次分享給大家讓社會好好來面對這一個我們不得不面對的真相為了讓我們的司法品質更好可以攬財可以留財下一頁好那我們來講攬財考試禁用跟多元禁用秘書長你覺得哪一個禁用的這個效益高一點不要講效益啦不要把人力當效益不要把人才當效益但是以他的養成
transcript.whisperx[246].start 7466.966
transcript.whisperx[246].end 7469.67
transcript.whisperx[246].text 主要來源還是考試禁用但是事實上一個考試禁用大概你培育他的人力至少要8年的時間
transcript.whisperx[247].start 7483.444
transcript.whisperx[247].end 7505.42
transcript.whisperx[247].text 好 你這裡有嘛 對不對之前研習候補期間跟市署期間加起來八檔啦但是多元禁用時間就大幅的減少因為它很多是現役有其他經驗的律師轉任啦 司法人員轉任等等所以多元禁用是一個急佔力下一頁可是問題就在這裡啦考試禁用6乘5
transcript.whisperx[248].start 7506.821
transcript.whisperx[248].end 7520.474
transcript.whisperx[248].text 你的多元禁用只有3乘5集戰力的補強只有3乘5就代表又回到我剛剛的五大建議了你是不是讓大家不要這麼重的loading然後薪水可以合理一點那個訴訟的這個案源減少一點
transcript.whisperx[249].start 7525.198
transcript.whisperx[249].end 7540.865
transcript.whisperx[249].text 這都是關鍵所以我們在考試禁用之外多元禁用可不可以給誘因教育部就是這樣幹的我們不只在台灣要讓高教人才從民間攬進來我們還要跟國外攬才所以教育部開啟了很多
transcript.whisperx[250].start 7541.405
transcript.whisperx[250].end 7541.445
transcript.whisperx[250].text 下一頁
transcript.whisperx[251].start 7570.526
transcript.whisperx[251].end 7591.864
transcript.whisperx[251].text 好 這就案源案量了這剛剛可能很多委員都提到我就講重點平均啊 我們每年新收案363萬件其中314萬是民事案件49萬是刑事案件每年的新收案還不管他的手上的未結案件平均每一位法官我是扣除最高法院的法官跟院長喔
transcript.whisperx[252].start 7592.745
transcript.whisperx[252].end 7612.153
transcript.whisperx[252].text 平均每位法官是1比1665就一個人手上的新收案件加未結案件一個人要搞1665件至少這樣壓力不大才怪我不想跳槽才怪我不想出走才怪這都是問題所以如何減少案源呢下一頁
transcript.whisperx[253].start 7614.023
transcript.whisperx[253].end 7626.552
transcript.whisperx[253].text 這個我也是去調查才了解我真的是司法法制委員的菜鳥我能做的就是不斷的去研究找資料這是我看到的民事訴訟裁判費的基準收費基準21年沒有調秘書長21年沒有調對不對
transcript.whisperx[254].start 7630.717
transcript.whisperx[254].end 7651.927
transcript.whisperx[254].text 所以現在這個訴訟的成本就假啦非財產案件第一審只要三千塊第二三審只要交四千五百塊財產類的這個民事訴訟的裁判費的試算我這裡都試算出來了他依不同的這個訴訟標的金額標的金額所以這21年沒有改這能不能調整啊這個我們民事我們會研議來要不然大家覺得
transcript.whisperx[255].start 7661.533
transcript.whisperx[255].end 7668.225
transcript.whisperx[255].text 走法院成本很低我就隨便告我今天看中嘉賓不太開心我就
transcript.whisperx[256].start 7672.215
transcript.whisperx[256].end 7692.44
transcript.whisperx[256].text 委員這部分我們會研議調整但是因為訴訟費用的徵收跟法律輔助是相結合對我懂我懂這是要連帶去思考但是如果以一個21年沒有調整我也一併提供給你們思考看看好嗎進到最後一項
transcript.whisperx[257].start 7693.22
transcript.whisperx[257].end 7717.74
transcript.whisperx[257].text 我剛講的流財、育財、懶財是前端、最後端心理健康的關懷方案我很快把我觀察到的問題分享給你們這裡包括法務部也有法務部那個問題更大法院、司法院確實有心理健康關懷方案每一個人最高補助每次2500塊一年最多可以看8次你如果有特殊需求可以去看12次的心理諮商非常好可是只有法官
transcript.whisperx[258].start 7718.641
transcript.whisperx[258].end 7732.137
transcript.whisperx[258].text 法官優先沒有你如果是司法事務官、書記官、法官助理跟其他職工如果需要去適用的話需要向他該庭的院長申請右邊這個是你們的協助方案的公告
transcript.whisperx[259].start 7733.406
transcript.whisperx[259].end 7733.866
transcript.whisperx[259].text 檢察官沒有
transcript.whisperx[260].start 7763.157
transcript.whisperx[260].end 7772.742
transcript.whisperx[260].text 法務部也有有有一個員工協助方案就是上面的協助方案可是沒有跟剛剛司法官一樣去藉助外部的心理諮商我都列出來了
transcript.whisperx[261].start 7774.526
transcript.whisperx[261].end 7774.907
transcript.whisperx[261].text 現在休息10分鐘
transcript.whisperx[262].start 7800.219
transcript.whisperx[262].end 7806.861
transcript.whisperx[262].text 臺北地院對臺北地院說法官以外人員需要經過院長合作好不好臺北地院臺北地院好不好
transcript.whisperx[263].start 8853.159
transcript.whisperx[263].end 8857.682
transcript.whisperx[263].text 現在繼續開會接下來請黃委員三三發言請司法院秘書長有請吳秘書長秘書長,我也身為法律人在民國81年考上律師
transcript.whisperx[264].start 8881.804
transcript.whisperx[264].end 8905.339
transcript.whisperx[264].text 司法人員的過勞其實不是新聞了而且一直都在討論那司法改革這麼多年蔡英文總統上任最重要的是大力推動了司法改革那其中一項就是要減輕法官的工作負擔秘書長為什麼八年來我們還在一直討論減輕法官的工作負擔您覺得原因為什麼還在討論同樣的問題討論了七八年
transcript.whisperx[265].start 8907.202
transcript.whisperx[265].end 8909.124
transcript.whisperx[265].text 臺灣民意基金會公布的
transcript.whisperx[266].start 8922.418
transcript.whisperx[266].end 8943.633
transcript.whisperx[266].text 蔡總統八年來推動司法改革的民意反應從你看到2017年大概不滿意度是55%經過七年多八年的改革我們現在的不滿意度還是高達54%也就是中間雖然有上上下下但是顯然沒有很大的進步那比較嚴重的我覺得是
transcript.whisperx[267].start 8944.774
transcript.whisperx[267].end 8966.258
transcript.whisperx[267].text 這個部分不滿意高達54.6%滿意的其實僅僅35%也就是從簡單的來說他可能剛剛及格而已這個比較嚴重的是對於司法改革大概是蔡總統8年來他所有的是在滿意度裡面最低的那接下來其實我們今天要跟你討論的是剛剛講的
transcript.whisperx[268].start 8969.246
transcript.whisperx[268].end 8990.377
transcript.whisperx[268].text 案子增加人沒增加所以我們還在討論減輕法官工作負擔最近有非常多的司法官不管是他跳樓或者是重病那有司法官因為這樣而離世那非常多的法律人包括民間司改團體其實都還在一樣在檢討為什麼的法官還是過勞
transcript.whisperx[269].start 8991.343
transcript.whisperx[269].end 8993.564
transcript.whisperx[269].text 1.從105年到112年,我們的新收案件從324萬件,現在已經到了405萬件,也就是增加了整整25%,一年增加80萬件新案。這是
transcript.whisperx[270].start 9009.266
transcript.whisperx[270].end 9025.562
transcript.whisperx[270].text 有數字的但是我們增加的人力呢從你們調給我的資料是你只增加了124個人也就是80多萬件的案子你增加的人力遠遠沒有辦法追上你案件增加的數量所以秘書長你們就是人不夠對嗎
transcript.whisperx[271].start 9028.101
transcript.whisperx[271].end 9031.826
transcript.whisperx[271].text 現在的問題是總原額還有我們對於新案他沒有辦法減量這是可能越來越惡性循環的原因
transcript.whisperx[272].start 9042.95
transcript.whisperx[272].end 9063.053
transcript.whisperx[272].text 那我這邊要講的是我剛才我們看到你調的資料很有趣我們希望了解一下每個月每個月法官他的負擔有多少你們現在的數字說一個月不管是地方法院、民庭或刑庭或少年法庭少年法庭多一點的九十幾件然後一般民刑庭大概都六十幾件但是
transcript.whisperx[273].start 9064.334
transcript.whisperx[273].end 9092.503
transcript.whisperx[273].text 秘書長,我的同學,我們有法律系同學的群組沒有人相信法官一個月新案只有60件,中位數是多少?平均數是60,中位數是多少?因為這個是連同這個一般的檢疫案件是,所以平均下來,我覺得還是一樣手上一兩百件一個月案件的是大有人在
transcript.whisperx[274].start 9093.143
transcript.whisperx[274].end 9109.884
transcript.whisperx[274].text 第2個他我就常跟很多新進要念法律系的人說如果叫你一天寫一篇作文你寫得出來嗎很難寫一天要寫三篇作文一個要解一百件案件三篇作文每一個字都不能錯每一個事實都不能錯連證人的證詞都要
transcript.whisperx[275].start 9111.846
transcript.whisperx[275].end 9141.246
transcript.whisperx[275].text 引用的正正道道地地,絕對不能出錯這種作文誰寫得出來判決書就是一篇很好的作文所以秘書長我今天有幾個建議這是我們法律系同學、法官、律師一起在討論的幾個做法你沒有辦法加人你只能減量怎麼減量有幾個案子我們認為說應該可以減量第一個他們認為很多法人登記的案子一定要到法院嘛可以修法的趕快修
transcript.whisperx[276].start 9142.866
transcript.whisperx[276].end 9165.076
transcript.whisperx[276].text 2、票據公式催告這都是一個程序問題這個程序問題能不能在行政單位或其他的機關就能夠減量不用事事都到法院去這也是目前為止我認為可以盡量減少法官或在法院裡面做其他專責單位去處理就好不要讓法官去做這種程序性的東西3、收養
transcript.whisperx[277].start 9166.957
transcript.whisperx[277].end 9192.67
transcript.whisperx[277].text 收養很多都已經寫好收養的契約但是他必須要再經過法院認可他也會影響法院整個在家事法庭他調查跟了解的狀況他的其實某個程度當事人都已經同意了可是我們還要經過一個程序第3個第4個是現在濫訴罰環的執行我看到你們的案子說你們有罰了一些不肖的當事人不肖的律師然後只罰了200多件
transcript.whisperx[278].start 9194.051
transcript.whisperx[278].end 9212.444
transcript.whisperx[278].text 跟剛剛加的80萬件還是差很遠第四個專家參審的制度我們希望說有一些像現在精神衛生法已經有讓專家進來那我們希望說有一些工程、金融、智慧財產的案件某個層次讓專家來參審減輕法官的壓力
transcript.whisperx[279].start 9215.871
transcript.whisperx[279].end 9235.756
transcript.whisperx[279].text 那第6個是我認為最重要的我們最高法院最會做的就是用發回跟審從來不依照相關的訴訟法自為判決這個自為判決有些最高法院我相信他們已經有定見了可是我們現在用發回作為唯一的方法幾乎自為判決的比例非常少
transcript.whisperx[280].start 9236.596
transcript.whisperx[280].end 9263.486
transcript.whisperx[280].text 最後一個是債務清理債務清理現在是法院最大宗那我今天再口頭補充一個就是現在因為保險也被列為要保人的資產所以整個強制執行法光保險去查保險、封保險、解約保險就成為現在執行法院最大的惡夢所以秘書長如果你沒辦法加人這些減量我希望
transcript.whisperx[281].start 9264.386
transcript.whisperx[281].end 9266.427
transcript.whisperx[281].text 司法院從今天開始檢討剛剛講的這幾項,你做得到嗎?
transcript.whisperx[282].start 9294.266
transcript.whisperx[282].end 9294.967
transcript.whisperx[282].text 法定人數不足
transcript.whisperx[283].start 9310.485
transcript.whisperx[283].end 9328.124
transcript.whisperx[283].text 法院人力來做訴訟有必要有法院有實質認定的部分讓法院來做其他有行政單位可以行政單位做至於再清一波地方的消災中心因為我們在各個執行處的成立的消災中心目前是士林跟台中
transcript.whisperx[284].start 9329.565
transcript.whisperx[284].end 9334.186
transcript.whisperx[284].text 沒關係 如果可以的話找方法否則永遠都在討論法官怎麼減量如果你不能減量你又加不了人這件事情我們可能會再討論30年
transcript.whisperx[285].start 9358.971
transcript.whisperx[285].end 9371.155
transcript.whisperx[285].text 是,那專家參審的部分,我們目前有專家諮詢的制度可以運用,以上報告好的,謝謝,拜託秘書長,這幾項東西請你一個月給我一個簡單的回應,好嗎?是是,好,謝謝好,謝謝我們黃委員,謝謝秘書長接下來,有請楊委員、瓊英發言,請
transcript.whisperx[286].start 9393.242
transcript.whisperx[286].end 9396.966
transcript.whisperx[286].text 謝謝主席 楊全發言 邀請秘書長當我們看到電視
transcript.whisperx[287].start 9403.655
transcript.whisperx[287].end 9427.268
transcript.whisperx[287].text 二十幾歲的法官發生了這樣的事情我們真的很難過要培養一位法官那是何其不容易但是憾事還是發生那更離譜的是憾事發生之後我們又看到媒體上面說我們司法院請法官休息半天去走一走是不是
transcript.whisperx[288].start 9431.583
transcript.whisperx[288].end 9453.916
transcript.whisperx[288].text 這個也是就是說出於善意其中之一嘛方案但是你認為當漢市發生的時候我們告訴法官說請你們都要休息半天出去走一走這樣可以解決問題嗎這個就是說是請就是說能夠多注意一些運動
transcript.whisperx[289].start 9455.737
transcript.whisperx[289].end 9464.2
transcript.whisperx[289].text 本席也絕對同意是善意但是本席跟你討論在我們看到我們看不到更積極的方案來協助你應該是去研討怎麼樣要協助我們這些人員應該要提出方案
transcript.whisperx[290].start 9482.549
transcript.whisperx[290].end 9508.866
transcript.whisperx[290].text 善意當然需要但是如果只有半天讓他們走一走運動半天就可以解決問題不會導致現在這個現象所以我們看到基本的這個數字你告訴我們從107年到112年我們的這個加持條件的部分通通每一個項目都是增加比例都增加 對不對你告訴我們的數字在這裡而且我們也看到
transcript.whisperx[291].start 9510.702
transcript.whisperx[291].end 9520.222
transcript.whisperx[291].text 這個訴訟的比例也通通都是在增加數字告訴我們是每一年逐年在增加但是沒有告訴我們方案
transcript.whisperx[292].start 9521.414
transcript.whisperx[292].end 9545.353
transcript.whisperx[292].text 接下來我好不容易就看到您提出的迫切需求緣額的總會表那現在怎麼辦呢我們好不容易看出來期盼人總能夠協助提高緣額上限你這樣就對了你明明白白
transcript.whisperx[293].start 9547.318
transcript.whisperx[293].end 9574.637
transcript.whisperx[293].text 每一年的增加數量一直在增加而且比例增加的讓我們很憂心很憂心但是呢好不容易你提出了有為的政府應該要解決這個問題啊所以你要大聲講出來啊而不是只有說你們每一個人休息半天去走一走就算了我記得在葉金鳳女士擔任部長的時候我帶隊到我們台中地檢啊
transcript.whisperx[294].start 9576.192
transcript.whisperx[294].end 9603.106
transcript.whisperx[294].text 部長在這裡我們去看了我發覺這嚇死人了案件這麼多三書民眾書檢察官書法官書社會大眾書不可以如此所以當時是首批第一次助理人員而且法務部還慢了一年這個司法官啊司法院啊還比較早他早一年先讓助理人員先進駐
transcript.whisperx[295].start 9606.011
transcript.whisperx[295].end 9633.994
transcript.whisperx[295].text 第1屆法務部還慢一年還科技慢了一年所以從那時候開始我一直關注我說當人民有困難的時候那政府要怎麼協助我們最終的法院判決是還人民的一個公道這是我們非常尊敬的這是民主的真諦但是我們看到竟然是這麼樣的民主真諦竟然發生了這樣的憾事
transcript.whisperx[296].start 9635.253
transcript.whisperx[296].end 9661.229
transcript.whisperx[296].text 而且我們提出的人員,我們全力支持也請秘書長,您必須要好好的提出好好的溝通因為你唯一從根源去解決,要不然不可能一個法官、一個檢察官,一天、一個月幾十件案件這樣你自己寫都寫不出來了
transcript.whisperx[297].start 9662.694
transcript.whisperx[297].end 9682.709
transcript.whisperx[297].text 那怎麼也有辦法精進呢所以你必須要從根源去做嘛對不對所以我是很呼籲期盼今天任總要代表來能夠把這個任總代表在哪裡請你也上來請能夠把這個聲音帶回去他不是帶回去他必須來在哪裡專委在哪裡來謝謝任總現在非常重要啊專委
transcript.whisperx[298].start 9692.622
transcript.whisperx[298].end 9720.249
transcript.whisperx[298].text 我想不管藍綠白大家都一定支持因為你不能擺爛的放在那裡啊你逼死了法官逼死了檢察官沒有用啊對不對人民最重要的最後一道防線就是司法嘛司法公立司法中立那怎麼辦來今天你聽到這個提出來的這個數字你們預計要怎麼做
transcript.whisperx[299].start 9722.074
transcript.whisperx[299].end 9729.86
transcript.whisperx[299].text 民眾所需、社會所需政府要解決問題不管修法多困難只要大家有共識就沒有困難了如果我們還一直說這個修法很困難那立法院要做什麼
transcript.whisperx[300].start 9749.389
transcript.whisperx[300].end 9776.839
transcript.whisperx[300].text 我們已經慎重提出而且看到法官這麼悲傷的事情發生所以拜託你一定要把這個表格趕快拿回去一定要趕快好好的來討論好不好我覺得這很重要啦其實我也可以建議司法委員會我們趕快開一個公聽會讓社會大眾更了解法務部跟司法院他們所需要他們所欠缺的
transcript.whisperx[301].start 9777.779
transcript.whisperx[301].end 9787.062
transcript.whisperx[301].text 你唯一從根源去解決你才能夠真正讓民眾至少還有一點點對社會爭議的一個期待啦好不好
transcript.whisperx[302].start 9788.547
transcript.whisperx[302].end 9810.537
transcript.whisperx[302].text 民主黨你有精力啦因為這個涉及到人民的受益錢啊政府機關應該一體要來克服啦對你這樣講就對了啦你要勇敢站出來大聲啦就像當時我那個葉金鳳部長的時候我一去我一看了我嚇一跳啊那些案件怎麼可能那你至少要一個助理人員來協助嘛所以當時就這樣定了
transcript.whisperx[303].start 9813.803
transcript.whisperx[303].end 9814.524
transcript.whisperx[303].text 謝謝秘書長、謝謝專門委員、也謝謝楊委員接下來有請林委員、世明發言
transcript.whisperx[304].start 9839.411
transcript.whisperx[304].end 9839.431
transcript.whisperx[304].text 財務部長
transcript.whisperx[305].start 9849.273
transcript.whisperx[305].end 9873.922
transcript.whisperx[305].text 委員好部長好部長我想今天大家很關心這個有關死刑的議題我想我也針對幾個比較嚴肅的一個議題來救教部長請你表示您的看法我想這個政府公共政策的擬定是否要參考民意當然要一定要參考民意那何謂民意大多數的民眾意見
transcript.whisperx[306].start 9879.787
transcript.whisperx[306].end 9903.096
transcript.whisperx[306].text 民主政治的本質是建立在主權在民的理念上政府的公共政策必須符合民意民意又稱為公義亦可稱之為輿論學者凱伊對民意所下的定義是民意是指那些意見所構成而政府應慎重加以注意的意見
transcript.whisperx[307].start 9905.172
transcript.whisperx[307].end 9921.457
transcript.whisperx[307].text 所以民意是我們政府未來擬定各項政策,我們必須去加以參考的重要依據所以第二個問題請教部長,死刑作為法定刑是否為我國現在目前的刑事政策?
transcript.whisperx[308].start 9922.503
transcript.whisperx[308].end 9941.797
transcript.whisperx[308].text 目前死刑是法定刑之一所以我想這個是很明確的所以我們的刑事政策是這個有死刑嘛就是支持死刑嘛目前是他有法律的規定所以我們就是依法執行依法來辦理
transcript.whisperx[309].start 9943.959
transcript.whisperx[309].end 9968.472
transcript.whisperx[309].text 第三個問題請問死刑制度我們已經在司法院釋制第194號、263號、476號等歷次大法官會議解釋核限那先問部長好了就是說你知道說這些這幾號解釋說出死刑是核限性的一個解釋的意旨大概是怎樣部長知道嗎您可以講得出來嗎
transcript.whisperx[310].start 9970.477
transcript.whisperx[310].end 9998.564
transcript.whisperx[310].text 這幾號的解釋都是認為死刑的規定本身是核限的那現在目前整個情勢並沒有很大的改變而且民意大部分也支持所以在法務部的立場認為死刑的規定還是維持核限但是他的主要的核心的理由他的解釋為什麼認為核限符合憲法的哪幾個原則這個部長你知道嗎我們可以查得到
transcript.whisperx[311].start 9999.597
transcript.whisperx[311].end 10025.436
transcript.whisperx[311].text 我大概跟部長分享我想這個過去大法官會議的解釋的認定是說他認為死刑作為法定刑沒有違憲的理由因為強調說死刑是維護我們國家安全、社會秩序及增進公共利益所必要與憲法第15條的生命權以及23條的比例原則並無抵觸
transcript.whisperx[312].start 10028.478
transcript.whisperx[312].end 10042.803
transcript.whisperx[312].text 主要的解釋意旨是認為符合憲法的比例原則以及對於生命權的尊重並沒有違反憲法相關的對於生命權基本權維護的看法
transcript.whisperx[313].start 10047.265
transcript.whisperx[313].end 10058.041
transcript.whisperx[313].text 所以我想就叫部長所以我們現在的大法官如果要做出第4次的解釋還能推翻過去3次的合憲性解釋嗎?
transcript.whisperx[314].start 10060.545
transcript.whisperx[314].end 10087.121
transcript.whisperx[314].text 當然要尊重大法官他的看法因為每個大法官他也有自己的看法當然要經過合議事先出來以後大法官也可以表示不同的意見當然我們了解但是我們現在講說現在的大法官又推翻過去大法官他所做出來的合憲解釋以目前我們的憲政制度大法官可以這樣自議為之嗎
transcript.whisperx[315].start 10089.022
transcript.whisperx[315].end 10096.908
transcript.whisperx[315].text 他可以去打臉過去的大法官嗎?部長您的看法吧您就講您自己學法律您的看法你自己的看法認為這樣子
transcript.whisperx[316].start 10099.076
transcript.whisperx[316].end 10101.137
transcript.whisperx[316].text 大法官這樣質疑是可以的嗎?
transcript.whisperx[317].start 10129.296
transcript.whisperx[317].end 10136.344
transcript.whisperx[317].text 國家所擬定的立法者所擬定的刑事政策你可以去加以否決嗎?可以嗎?
transcript.whisperx[318].start 10138.229
transcript.whisperx[318].end 10164.083
transcript.whisperx[318].text 大法官的職權就是要審視目前的法例有沒有違背憲法但是部長我剛一直跟你講了嘛你擬定相關的形式政策目前我們的形式政策就符合我們現在的主流名義嘛所以現在的大法官你要推翻現行的形式政策去這個違背我們現在的主流名義這個是妥當的嗎?正當的嗎?大法官可以這樣嗎?
transcript.whisperx[319].start 10166.277
transcript.whisperx[319].end 10194.526
transcript.whisperx[319].text 每個大法官他可以表達自己的意見嘛所以大法官最後做的釋憲結果還可以把不同意見書附在後面所以這個問題就一直就讓我們陷入一個漩渦裡面大法官過去的大法官是認為合憲現在的大法官認為不合憲然後他就是自己要去做違背主流民意的一個看法如果我想我們行事政策如果要改變要跟著我們社會的主流民意嘛
transcript.whisperx[320].start 10195.006
transcript.whisperx[320].end 10214.368
transcript.whisperx[320].text 然後由立法者他去決定要不要依照我們的民意建立出相關的一個形式的立法符合我們政策的一個目標嗎但是大法官他要去越權做出這種完全違背民意違背我們現行形式政策的一種解釋您認為正當嗎
transcript.whisperx[321].start 10217.042
transcript.whisperx[321].end 10242.712
transcript.whisperx[321].text 沒有錯,你認為正當嗎?我們都是法律人啦我不曉得大法官他的法律是念的特別好還是怎麼樣真的怎麼會有大法官會一直這樣去推翻過去幾位非常專業、非常有重望的大法官的解釋假設他今天把這個解釋為會不會解釋為違憲我們不知道假設解釋出說這個死刑是違憲的我們真的不可想像說這種
transcript.whisperx[322].start 10246.509
transcript.whisperx[322].end 10253.182
transcript.whisperx[322].text 羅賢要羅賢到什麼時候以後第5屆如果第5次解釋的時候大法官可不可以推翻第4次的法官的解釋
transcript.whisperx[323].start 10256.604
transcript.whisperx[323].end 10285.071
transcript.whisperx[323].text 委員也知道嘛,我們讀法律的時候常常一個法律的見解都會有假說、以說、秉說、折衷說各種說都有,我們都要一一尊重嘛所以我是希望大法官今天正要聽到我們的聲音你要尊重主流民意尊重我們現行的刑事政策你也支持現在的刑事政策嘛對不對,部長您個人也認為現行的刑事政策以及我們現在的立法就是我們是支持實行的嘛
transcript.whisperx[324].start 10285.831
transcript.whisperx[324].end 10295.154
transcript.whisperx[324].text 我們法務部的立場就是認為目前的法律規定是合憲的好 謝謝 部長你請委那主席我最後再問一下司法院 秘書長委員好秘書長我想跟你討論今天的這個負擔的問題我想我們大家對於法官負擔的問題而造成我們那麼多精英的法官的責損
transcript.whisperx[325].start 10314.315
transcript.whisperx[325].end 10335.173
transcript.whisperx[325].text 大家都很難過我想這些精英司法官他們的家屬在暗夜中的哭泣我不是到司法院我沒有注意到這麼不容易考上司法官結果去走向親生這是讓我們學法律的人無法想像的可見他的工作壓力是多麼的大
transcript.whisperx[326].start 10336.922
transcript.whisperx[326].end 10362.478
transcript.whisperx[326].text 我想今天我們這個專題是在討論說如何透過行政簡化、訴訟減量與科技運用以降低基層司法體系負擔的問題但是我一直呼籲的一個問題現在不管我們怎麼做如果我們沒有從源頭去做相關的一個教育去讓我們的年輕人、讓我們的孩子從小升職法制的觀念
transcript.whisperx[327].start 10363.579
transcript.whisperx[327].end 10386.66
transcript.whisperx[327].text 那我個人這個我還是講我們社會的就是一直循環就是因為教育沒有做好才會造成我們最後一道這個防線很可能就被攻破所以才會造成我們大家法官因為案子不斷的增加壓力不斷的變大所以大家沒辦法負荷嘛所以如何減少案源
transcript.whisperx[328].start 10387.801
transcript.whisperx[328].end 10396.891
transcript.whisperx[328].text 這個部分除了我們剛剛很多委員提的很多的一個方案以外我個人是建議法制教育這部分可能要做得更多
transcript.whisperx[329].start 10399.051
transcript.whisperx[329].end 10424.917
transcript.whisperx[329].text 所以金馬丹司法院有沒有跟教育部來合作怎麼樣把我們法制的種子散佈在各個校園這個我們有在加強因為我們有特別成立新鮮處新倫仙島處法治新倫仙島處這一部分有跟我們年輕朋友跟我們學校都有編導真的我真的
transcript.whisperx[330].start 10425.797
transcript.whisperx[330].end 10449.705
transcript.whisperx[330].text 中心建議了,因為我們法律上真的我覺得如果沒有從教育面著手的話突然要讓這個我們司法的最後一道防線就是接到案子就要審就要審就要審沒完沒了啦怎麼樣都很難很難減少啦案子就是不斷的來啊這些違法犯紀的事情因為這些人對於法治的觀念真的太欠缺了為什麼會犯罪
transcript.whisperx[331].start 10451.175
transcript.whisperx[331].end 10451.675
transcript.whisperx[331].text 接下來有請吳委員中線發言
transcript.whisperx[332].start 10490.839
transcript.whisperx[332].end 10517.676
transcript.whisperx[332].text 我們請司法院秘書長、法務部長有請吳秘書長還有蔡部長這邊我先就叫部長部長我想說大家我們都很清楚檢察官工作的核心是內勤外勤、開庭、寫書類我今天收到一個報告每個檢察官目前的說案量是110件我想部長應該知道這個狀況
transcript.whisperx[333].start 10523.031
transcript.whisperx[333].end 10549.365
transcript.whisperx[333].text 增他鄉案因為我們是統計這個比較重要的就是各種包括其他這些案件加起來大概110件那我們講那個增治案件增治案件我想桃園地檢跟新北地檢常常月收都是超過100件我想部長應該很清楚這個狀況那我跟部長報告一下我們當年分發的時候
transcript.whisperx[334].start 10550.265
transcript.whisperx[334].end 10559.708
transcript.whisperx[334].text 我在民國90年分發的時候那個時候我記得我那時候看到報表一個月增案是30幾件那現在的話已經變成這個數字那我離開檢方是在民國109年但是108年到去年的這個數據以新收案件來說
transcript.whisperx[335].start 10571.491
transcript.whisperx[335].end 10596.326
transcript.whisperx[335].text 全國的新收案件漲了47%也就是這四年多裡面全國檢方的新收案件漲了47%這跟房價的漲幅都差不多了房價是七年九十幾%嘛那檢方的案件是四年多漲了47%我想說這已經到一個完全不合理的狀況了那一個案子我想我們都知道
transcript.whisperx[336].start 10597.381
transcript.whisperx[336].end 10620.541
transcript.whisperx[336].text 他必須要開庭他收案開庭訊問然後要寫書類要去思考也就是說這樣平均下來一個案子如果每一天超時工作12個小時的話3個小時才能結掉一件那這個會不會已經超過正常的負荷更何況有很多案子
transcript.whisperx[337].start 10621.687
transcript.whisperx[337].end 10640.726
transcript.whisperx[337].text 我們講一個簡單的啦你說酒醉駕車那個就像寫聯絡簿一樣那麼簡單但是我們有更多的案子其實是要花腦子去思考更多那個人民之間的糾紛其實那個都沒有那麼容易所以說每一個案子在偵查的時候都很辛苦部長這個部分你有什麼想法
transcript.whisperx[338].start 10641.474
transcript.whisperx[338].end 10651.639
transcript.whisperx[338].text 我同意委員的看法因為數字只是平均而已其實每一個案子的複雜度跟簡易是完全不一樣的有一個案子有時候需要好幾
transcript.whisperx[339].start 10652.927
transcript.whisperx[339].end 10654.068
transcript.whisperx[339].text 我之前處理過一個貪污案件那那個案件一個案子裡面是
transcript.whisperx[340].start 10677.361
transcript.whisperx[340].end 10698.938
transcript.whisperx[340].text 有十幾個廠商被告到最後超過20個我書類寫了一個多禮拜然後100多頁那這個也是一個案子所以說我們到最後會不會變成是檢察官或法官他們都去想辦法去追求那些簡單的案子或者是把一個原本應該複雜的案子去把它簡易化
transcript.whisperx[341].start 10699.999
transcript.whisperx[341].end 10723.305
transcript.whisperx[341].text 這個我想說部長這很重要的一件事情其實這幾年啊大家常常在罵一個東西在罵恐龍法官、恐龍檢察官那我們知道就像我剛說的一個案子我們要月卷開庭、調資料還要寫書類這幾年我不敢跟著大家罵因為我知道問題出在哪裡大家就是一直罵恐龍法官、恐龍檢察官但是我跟各位
transcript.whisperx[342].start 10724.552
transcript.whisperx[342].end 10741.18
transcript.whisperx[342].text 說明一件事情就好像今天記者一天只能寫兩個稿我要你今天一天寫出十個稿你寫出來的東西品質就會出問題那一樣你用工廠來看好了如果今天這個工廠符合勞基法一個月生產30套設備
transcript.whisperx[343].start 10742.941
transcript.whisperx[343].end 10768.684
transcript.whisperx[343].text 那我我叫大家不睡覺不休息不陪家人一個月生產能夠經到60號設備但是今天老闆叫你生產到120號設備呢你出來品質良率就變很差今天我看到的司法是這樣所以與其大家一直罵說你這司法有問題司法怎麼樣你要去思考到底我們今天給司法人員什麼樣的環境你發生了什麼事情
transcript.whisperx[344].start 10769.878
transcript.whisperx[344].end 10797.614
transcript.whisperx[344].text 我們就像我們去看醫生我們覺得看醫生醫生要跟我問診問十分鐘結果沒有啊人越來越多剩五分鐘到最後你現在去看診有一分鐘就請你出去了那你能夠看到什麼我們今天我們一直說法官、檢察官有問題腦子有問題結果你弄錯了是你給他的數字出了問題結果東西出來一塌糊塗好我必須講一個啦
transcript.whisperx[345].start 10800.031
transcript.whisperx[345].end 10827.136
transcript.whisperx[345].text 我一直覺得當然我真的舉雙手贊成人力的部分一定要補足但是我想跟各位說一句話笨蛋問題在制度真的是制度出了問題尤其是我們幾年前的司法改革會議其實他把制度改得更複雜更亂結果不要跟我說司法改革成功司法改革成功與否你看為什麼
transcript.whisperx[346].start 10828.651
transcript.whisperx[346].end 10850.794
transcript.whisperx[346].text 這幾年的司法改革改到司法官累到累到走不下去了或者是人民的滿意度越來越低你就不要跟我說司法改革成功就因為我一直覺得國民法官制度問題重重但是司法院你就是要硬推你也不去管到底
transcript.whisperx[347].start 10851.892
transcript.whisperx[347].end 10852.152
transcript.whisperx[347].text 司法專業人員
transcript.whisperx[348].start 10868.18
transcript.whisperx[348].end 10891.258
transcript.whisperx[348].text 高專業度的制度的修改你卻讓非常多非法律的人你可能找很多社運團體來這邊每個人就只聚焦在一個小問題上面然後要求制度修改但是制度跟制度制度內的每一個點都是環環相扣所以它很多國家的訴訟制度的修改是花了30年50年才慢慢有轉換結果我們這邊竟然是兩個月的會議開完全國大改
transcript.whisperx[349].start 10895.081
transcript.whisperx[349].end 10917.088
transcript.whisperx[349].text 難怪到今天越改司法官累了半死司法官累了人生這條路走不下去然後累到現在中間站立最強的檢察官法官一堆人離職然後到最後我們補了很多新人他們經驗還需要慢慢培養補了很多新人進來案件量越來越多回過頭去罵司法怎麼變那麼爛
transcript.whisperx[350].start 10918.388
transcript.whisperx[350].end 10945.634
transcript.whisperx[350].text 那我要跟各位報告你以為的司法改革是要改善人民對司法的信任度結果我們的司法改革改得人民對司法越來越不信任這是我看到的司法改革現在的狀況那累死了一堆法官檢察官我們自己一路這樣走過來我自己看得很清楚現在新分發的檢察官跟法官已經沒有時間去學辦案了
transcript.whisperx[351].start 10947.674
transcript.whisperx[351].end 10967.444
transcript.whisperx[351].text 我們以前剛出來很好運我當年出來的時候案件量還算合理我還有時間去學怎麼辦案怎麼跟這些偵查機關、司法、警察相處怎麼樣帶領他們辦案現在新分發的我去跟他們聊天每一個都說每天都在加班寫書類每天都在加班看卷
transcript.whisperx[352].start 10968.064
transcript.whisperx[352].end 10994.066
transcript.whisperx[352].text 他完全沒有辦法去學社會發生了什麼事結果他們就跟社會越來越脫節他們辦案的功力越來越弱他們出來的書類品質越來越差他們開庭的時間越來越短就司法的品質就越來越差我覺得變成今天這樣子我今天我是很沉痛的點出我們司法今天的問題在這裡我覺得這個是制度面的問題啦我真的是
transcript.whisperx[353].start 10994.987
transcript.whisperx[353].end 11017.254
transcript.whisperx[353].text 制度面的問題那當然接下來我們還有比喻延長一年比喻延長一年之後這些軍事審判的東西目前都還在普通法院這個也加重了檢察官跟法官的工作量所以所有的東西你就是一直不停的加重加重再加重普通法院的法官跟檢察官的工作量
transcript.whisperx[354].start 11019.91
transcript.whisperx[354].end 11046.992
transcript.whisperx[354].text 我想齁 這個制度的問題麻煩兩位長官一定要去思考該怎麼辦因為基層他不會把聲音告訴長官們長官們可能聽到的都是身邊幹部的人的想法但是我是一路基層做了20年我所有我現在跟我還在往來的這些法官檢察官同學們他們會告訴我第一手的他們痛苦的事情是什麼
transcript.whisperx[355].start 11048.926
transcript.whisperx[355].end 11073.192
transcript.whisperx[355].text 講一個20幾年前要改交互結論制度去美國抄了一套交互結論制度來結果呢有沒有想過美國上訴是多困難啊很多學者說美國甚至只有一審是40審結果我們40審搞了兩個審計同一套制度玩了兩遍消耗多少人力物力害當事人花了多少錢請律師我們都不管
transcript.whisperx[356].start 11074.705
transcript.whisperx[356].end 11095.003
transcript.whisperx[356].text 這個制度上面不是有很大的問題嗎你抄人家的制度就人家認為一個省級40省就要把它審理完畢上述二省有非常多的限制我就說甚至我們有學者把它歸類它叫做我們的法律省了叫做三省的法律省就我們同一套制度玩兩遍那那個意義在哪裡
transcript.whisperx[357].start 11097.27
transcript.whisperx[357].end 11110.25
transcript.whisperx[357].text 這段時間我有跟法務部要很多資料啦那甚至我也說像譬如說職權還起訴處分職權送災的意義在哪我從數據上面來看一點價值都沒有但是卻搞垮了二審的檢察官
transcript.whisperx[358].start 11111.138
transcript.whisperx[358].end 11133.183
transcript.whisperx[358].text 那一樣就法官而言 法官刑事訴訟、二審肥大政就把二審搞慘了 因為我們上訴有審極利益的問題所以 被告上訴 完全沒有什麼成本 他想上訴就上訴搞得二審案件一大堆法官類的半死那 我希望齁 就是
transcript.whisperx[359].start 11135.7
transcript.whisperx[359].end 11147.16
transcript.whisperx[359].text 將來該除罪的我覺得就把它除罪化對人民沒有任何意義的東西就把它除罪化那還有司法院是不是能夠再健全一些中低收入戶的訴訟保障
transcript.whisperx[360].start 11149.496
transcript.whisperx[360].end 11177.205
transcript.whisperx[360].text 後然後我們去提高一些訴訟費用該收費的標準讓有錢人來使用法院應該多交一點錢但是我們擴大訴訟救助的部分讓沒有錢的人也可以享受這個訴訟假性財產犯罪是不是應該要收費不要讓檢察官法官成為全國最大的連鎖討債集團這我以前當檢察官最痛恨的點就是一堆人把假性財產犯罪來叫我幫他討錢
transcript.whisperx[361].start 11178.94
transcript.whisperx[361].end 11203.019
transcript.whisperx[361].text 這是大家 我想部長一定很清楚這是大家檢察官心裡的痛還有妨礙司法公正是不是我們應該要趕快把它建立起來因為我講到這個議題我自己心裡是感觸很深啦因為畢竟我是這樣子走過來的那我現在身邊的好朋友也幾乎都還是法官檢察官以前的同學
transcript.whisperx[362].start 11205.24
transcript.whisperx[362].end 11232.141
transcript.whisperx[362].text 我想說我還是必須要替他們講講話部長或部長有沒有什麼想法謝謝委員指教委員是基層檢察官出身的我本人也是所以我非常了解檢察官現在陷入到工作負擔過重這樣的一個困境那我也想盡辦法來幫忙解決不但是在爭取能力而且在他案件的怎麼樣的簡化
transcript.whisperx[363].start 11234.002
transcript.whisperx[363].end 11261.339
transcript.whisperx[363].text 包括我們書類不要用太多的這種敘述的方式能夠用格式化的方式來處理還有工作環境的改善我都是盡我最大的努力來完成謝謝部長部長委員這些提示我們都會都會加以來我想我剛講的只是很多改善方式的九牛一毛而已只是我這樣臨時想到了那最後30秒我講一個
transcript.whisperx[364].start 11264.239
transcript.whisperx[364].end 11284.325
transcript.whisperx[364].text 選前啦就是我們這個所謂中國中共借選國安無法這個傳了很多里長那現在開始很多不起訴都出來了那我預測將來很多大量的無罪會出來我不是說這個案子這種案子一定不應該辦而是他很多將來能夠成罪的證據其實檢察官法官是拿不到他可能在
transcript.whisperx[365].start 11285.645
transcript.whisperx[365].end 11313.268
transcript.whisperx[365].text 在那個中國那邊所以這種案子是不是要這樣子大規模的這麼處理照著人心惶惶好那這個為什麼我在這邊講因為他也相同的他造成了警察、調查官、法官、檢察官大量的工作量檢察官他可能要偵辦要起訴法官可能要合法搜索票都非常案件量都因為這些政治的問題增加很多那我是希望政治的手不要去介入到司法
transcript.whisperx[366].start 11314.77
transcript.whisperx[366].end 11334.269
transcript.whisperx[366].text 因為我跟很多基層的同仁在聊天跟調查官聊天他們就跟我說我說你們幹嘛幹這個是我們在吃飯私下吃飯的時候他跟我說沒辦法上面有交代所以我想基層跟我講的好朋友跟我講的我比較相信是真的啦我不相信官方上面的說法好不好意思耽誤大家耽誤主席這麼多時間謝謝各位
transcript.whisperx[367].start 11338.534
transcript.whisperx[367].end 11348.781
transcript.whisperx[367].text 接下來請陳培宇委員、陳培宇委員不在、陳培宇委員不在、鍾嘉斌、鍾嘉斌委員
transcript.whisperx[368].start 11359.792
transcript.whisperx[368].end 11375.461
transcript.whisperx[368].text 主席、謝謝主席、在場的委員先進、列席的政府機關司長、官員、會長、工作夥伴、媒體記者女士先生有請司法院吳秘書長、民事廳周庭長、還有人事處的陳處長、還有法務部的蔡部長請蔡部長
transcript.whisperx[369].start 11380.057
transcript.whisperx[369].end 11406.224
transcript.whisperx[369].text 秘書長好、部長好、廳長好、處長好先請教秘書長剛剛有委員問到在2016年有賴浩鳴院長、前院長跟蘇永欽前副院長他們向蔡英文總統辭職請問他們是因應著什麼樣的情況之下去表達是因為政黨輪替還是因為新總統就任還是什麼原因
transcript.whisperx[370].start 11408.89
transcript.whisperx[370].end 11427.888
transcript.whisperx[370].text 當時雖然在五月份的時候有黨團提出訴求哪個黨團是時代力量黨團提出一個訴求就是希望說五月也是就是說有一個交接聲音大一點五月有一個交接然後呢就是希望說這兩位院長副院長辭職就五月份的時候但是
transcript.whisperx[371].start 11429.249
transcript.whisperx[371].end 11436.713
transcript.whisperx[371].text 當時的賴浩鳴司法院長他是在7月11號才請辭總統沒有馬上處理他為什麼請辭?是因為新總統就任?他是因為什麼請辭?那他可能當時有
transcript.whisperx[372].start 11450.39
transcript.whisperx[372].end 11476.556
transcript.whisperx[372].text 他任期到10月31號屆滿所以他 任期將屆請辭 任期將屆但是總統也是到他要將屆之前4天10月27號才准辭所以並沒有所謂的因為是在力量黨能提出說新總統就任要建立一個憲政慣例所以要求司法院政務院長向新任總統或像原任任命的總統請辭 沒有啦沒有慣例 所以那個賴浩鳴
transcript.whisperx[373].start 11479.617
transcript.whisperx[373].end 11480.197
transcript.whisperx[373].text 法定人數不足
transcript.whisperx[374].start 11497.457
transcript.whisperx[374].end 11525.787
transcript.whisperx[374].text 從2020年開始是那這是不是造成我們法院上很大的一個工作壓力對執行處變成是一個比較大的壓力好那我請教一下部長而且集中在臺北地院跟士林地院這兩個地院特別嚴重好那請問蔡部長關於這一點我問過了保險局也問過了金管會他說他們曾經要說來修行政執行法來解決這個問題我先解釋一下什麼強制保單執行保單就是說那個
transcript.whisperx[375].start 11526.665
transcript.whisperx[375].end 11555.297
transcript.whisperx[375].text 要保人他因為欠了債那他有個保單在保險公司那裡結果債權人要求保險公司把他的保單解約拿回這個保單的解約金或者準備金來抵付這個債務所以就申請強制執行大概部長這樣有沒有了解這是民事強制執行還是行政強制執行那你是負責行政強制執行行政執行法是哪裡
transcript.whisperx[376].start 11558.374
transcript.whisperx[376].end 11575.006
transcript.whisperx[376].text 行政執行法是因為他欠這個工的對包括欠稅也是欠稅或是欠罰款這個才是金管會是希望你們修行政執行法把這個改一下不要讓這些保單的受益人因此而失去了你覺得是不是應該修保險法還是修行政執行法
transcript.whisperx[377].start 11575.691
transcript.whisperx[377].end 11580.558
transcript.whisperx[377].text 這一點我們有提出說為了避免殺雞取卵因為保單的解約金可能完全無法抵付債權
transcript.whisperx[378].start 11591.853
transcript.whisperx[378].end 11607.524
transcript.whisperx[378].text 因此可是受益人就貧困損失了,包括他的癌症險、他的一些健康險都因為主約被解約、副約就也消失了。那麼有人提出用介入權的方式,讓受益人他可以介入來償付解約金,這樣的一個修法方向,司法院支持嗎?
transcript.whisperx[379].start 11610.695
transcript.whisperx[379].end 11629.904
transcript.whisperx[379].text 委員關於這個部分因為其實這個涉及整個保險政策的問題那麼如果要做改變的話如果儘管會做這個改變保險法修改你們支持嗎這個我們尊重如果在保險法裡面做改變我們很尊重好 謝謝兩位請回部長跟那個
transcript.whisperx[380].start 11632.646
transcript.whisperx[380].end 11650.508
transcript.whisperx[380].text 我先請教一下秘書長部長請回有一個叫圖靈測試對不起我們看看這個這個民事執政量我們現在就是說與金管會保險局和受險公會來協調統一格式流程降低執行法院的壓力你同意嗎在這個修法之前先做這個事情
transcript.whisperx[381].start 11653.917
transcript.whisperx[381].end 11656.738
transcript.whisperx[381].text 圖靈測試區分回答者是人還是機器人?法官是人類還是判決產生器?
transcript.whisperx[382].start 11673.502
transcript.whisperx[382].end 11700.122
transcript.whisperx[382].text 這很簡單嘛當然是人類嘛對不對好 所以我們來看一下司法官的養成要相當長的時間以法官來說要這麼長的時間但是科技的成長跟引入相對的快所以就我們要解決目前的基案的案量您覺得法官 調整法官的緣額或培養來得比較迅速還是透過科技的引進比較能夠適應我們的環境上的壓力
transcript.whisperx[383].start 11703.393
transcript.whisperx[383].end 11726.689
transcript.whisperx[383].text 很難回答來那當然要還是要從人倫來思考來好但是人要比較長的時間嘛我們現在看齁這個圖很有意思齁30年來啊我們的民事案件增長了6倍你看到什麼有沒有看到藍色的這個長條圖那我們的形式呢是紅色的長條圖那你看到的綠色的線條呢是民事的越軍結越軍辦結案他有一個到2027年呢2007、2006呢到一個高峰後啪跳水
transcript.whisperx[384].start 11733.553
transcript.whisperx[384].end 11733.573
transcript.whisperx[384].text 韓國瑜
transcript.whisperx[385].start 11751.806
transcript.whisperx[385].end 11770.997
transcript.whisperx[385].text 民事新增了314萬件 刑事新增了45萬件所以未結案就 未結案就增加96%啊是啊 你能夠辦結的就是躺平啦數量呢 增加的就在上面是惡意亂數 還是我們立法者重型化 還是案件複雜化造成的
transcript.whisperx[386].start 11773.103
transcript.whisperx[386].end 11793.881
transcript.whisperx[386].text 法院在不管怎樣是社會信賴的很重要的力量所以法院就被賦予各種要照料的書越來越多大家期待法院能夠把案量隨著案量的提高能夠把判決的能力也提高範圍也廣了恰恰相反直接躺平
transcript.whisperx[387].start 11794.691
transcript.whisperx[387].end 11804.959
transcript.whisperx[387].text 為什麼我們往下看我們常常說上游缺水保下游土石流人力永遠不夠用你同意嗎是不是從源頭按量的控管比較重要
transcript.whisperx[388].start 11809.28
transcript.whisperx[388].end 11824.578
transcript.whisperx[388].text 所以我們底下提出這幾個方法比如說在刑事上我們加強行政處遇在民事上我們透過律師的諮詢強化調解在程序上加強審查減少訴訟量一審量少上訴量就算減少你覺得這有沒有幫助
transcript.whisperx[389].start 11828.645
transcript.whisperx[389].end 11849.437
transcript.whisperx[389].text 這個應該一些有效率的方式這些應該都會有幫助所以你都支持好那我們來看一下訴訟減量行政簡化已經部分上路了你們有沒有做人力評估的影響影響的評估成效如何有沒有有沒有評估說你們現在所做的這所有的訴訟減量跟行政簡化到底有沒有讓案源源頭的案量減少你們有沒有評估過
transcript.whisperx[390].start 11850.848
transcript.whisperx[390].end 11867.11
transcript.whisperx[390].text 因為最主要岸岩有時候我們無法控制你們有沒有控制那你怎麼知道你的有人要說對症下藥啊你今天看到岸岸一直成長你們祭出了訴訟減量祭出了行政簡化結果祭出的手法還是沒有壓下來
transcript.whisperx[391].start 11868.191
transcript.whisperx[391].end 11880.425
transcript.whisperx[391].text 那你這個對症就沒有下藥啦所以就有另外一種要限量困難的聲音就你們有沒有自己評估過當你們下了這個藥的時候病情有沒有比較好或減少惡化你們有沒有做這個評估
transcript.whisperx[392].start 11882.046
transcript.whisperx[392].end 11901.057
transcript.whisperx[392].text 如果你沒有做這評估你不斷地下藥下藥阿結果呢案例一直成長成長你怎麼知道哪個藥有效哪個藥沒有效那最主要在司法機關是很無奈阿案言一直來阿因為法令負擬阿秉事長我們科學方法啦你面對問題你提出解方
transcript.whisperx[393].start 11901.677
transcript.whisperx[393].end 11926.929
transcript.whisperx[393].text 解方有沒有造成問題沒有繼續惡化也要評估嘛對不對請你們回去做評估來為了要減少訴訟讓法官能專注我們的審判核心業務我們提出了透過包括了我們的智慧科技來形成筆錄在確保治安的前提之下我們讓這個摘要的調查意見資料能夠用這個方式還有簡化判決書啊書狀的格式化那你認為這些有沒有幫助
transcript.whisperx[394].start 11927.705
transcript.whisperx[394].end 11927.985
transcript.whisperx[394].text 法官不是機器人
transcript.whisperx[395].start 11949.858
transcript.whisperx[395].end 11967.848
transcript.whisperx[395].text 合理的工作才有裁判品質目前齁你們是有說一個欸你們有一個怎樣司法週刊啊說怎樣你們要去衡量法官的工作量案量對不對案量結案量那請問一下結案100件跟結案10件哪一件哪一個效率高那那結案100件跟結案10件兩個法官你認為誰的效率好那
transcript.whisperx[396].start 11976.312
transcript.whisperx[396].end 11997.615
transcript.whisperx[396].text 當然要合理的結案品質才會好是 那你們有沒有評估所以你們目前這一個量化的數字叫做結案量這對法官壓力很大阿有沒有分類不同的案件他可能不需要不同的工作量所以是不是用合理的工作分類來衡量一個合理的結案量是不是這樣子
transcript.whisperx[397].start 11998.456
transcript.whisperx[397].end 12002.02
transcript.whisperx[397].text 我們明天就會舉行這樣一個會議所以請你們好好的落實對不同的案件他的合理的工作量做合理的評估不是以單一的結案數量是不是這樣
transcript.whisperx[398].start 12018.018
transcript.whisperx[398].end 12038.108
transcript.whisperx[398].text 好那最後我們來看一下那這個統計你們就說從明天開始我就等於是今天問的嘛要統計才有辦法估算人力需求將幫助法官減壓那你們有辦法區分案件的複雜程度嗎有辦法吧是可以啊因為這個都會有一定的處理方式那最後我們最後要提到就是原額
transcript.whisperx[399].start 12039.148
transcript.whisperx[399].end 12056.877
transcript.whisperx[399].text 其實我們剛剛講到了司法官尤其是法官的培養要很長的時間你們往往在一個司法院院長的任內他其實就算透過人總給你們員額你們都不見得來得及補對不對那我們來看一下這個剛剛都提出來了目前你們還有數字沒有改是13900人變成15000人那麼其實整體中央政府的員額是減7%
transcript.whisperx[400].start 12064.461
transcript.whisperx[400].end 12092.154
transcript.whisperx[400].text 司法院的員額是從13000人變成15000人,增加了快8%你覺得人總有沒有給予我們司法院較多的員額,讓你們解決問題,有沒有?那因為我們現在需求,像今天有提出表嘛,要5000...我知道啦,我說從整體來看啦,一個人口袋,其他的小孩零用金都減了,給你的零用金是成長的,你覺得人總在員額上有沒有不給司法院?
transcript.whisperx[401].start 12093.39
transcript.whisperx[401].end 12093.991
transcript.whisperx[401].text 我瞭解
transcript.whisperx[402].start 12110.194
transcript.whisperx[402].end 12135.845
transcript.whisperx[402].text 平估後來的心智那果不出其然現在減縮為一萬五千人之後接下來的各項心智、憲法訴訟法那個國民法官法然後行政訴訟心智商業事件審理法等等的這一大堆心智增加法外工作負擔這個一千一百人現在證明就是杯水抽薪對不對對,加上明年要成立北部邵家法院很好,處長你不用那麼上氣不接下氣我們都知道你們需求很大
transcript.whisperx[403].start 12136.485
transcript.whisperx[403].end 12162.123
transcript.whisperx[403].text 但是今天整體中華民國中央政府緣額是減7%的所以我要說的是說我們說話持平來論整個中央政府總緣額法他是在縮減的但是給司法院的緣額是要提高的但是提高的幅度還趕不上你的需求這是你要講的嘛 對不對好 那我們往這方面來思考但是除了時任法官之外法官有77條我們有憂鬱法官憂鬱法官有沒有記錄目前的緣額 有沒有
transcript.whisperx[404].start 12164.178
transcript.whisperx[404].end 12164.478
transcript.whisperx[404].text 主席總署
transcript.whisperx[405].start 12190.802
transcript.whisperx[405].end 12212.338
transcript.whisperx[405].text 人事費用所以這個部分你們具體來提把這些 所以你們會發現喔過勞的法官好像都是年輕人耶我不是說年齡歧視但是年輕照長的因為有這個憂鬱制度他比較不容易過勞可是他一樣佔緣額如果他辦的案件少我們給他憂鬱因為法官終身職嘛 憲法81條的規定嘛 是不是這樣
transcript.whisperx[406].start 12214.221
transcript.whisperx[406].end 12239.702
transcript.whisperx[406].text 所以過老的都是年輕的法官那我們怎樣把這個元額...應該不分年齡啦因為我看過太多年老的也是...所以我們秘書長終於還是幫忙同儕講個話啦我70歲啊我知道...所以你也很過老啦而且看過那個年老的這個...所以我是說你們設法要從這個元額上的計算去跟人種去argue可不可以?
transcript.whisperx[407].start 12240.683
transcript.whisperx[407].end 12240.803
transcript.whisperx[407].text 三管齊下
transcript.whisperx[408].start 12258.078
transcript.whisperx[408].end 12279.287
transcript.whisperx[408].text 案源要減量科技化協助分攤分流讓法官穿上核心判決合理評估工作量和結案量然後預估未來的需求這方面都很重要所以我們最後又有兩個提出要求請司法院3個月內提出書面報告合理評量各類案件所需的不同工作量並具以調配案量並評估未來的需求可以嗎
transcript.whisperx[409].start 12281.296
transcript.whisperx[409].end 12301.428
transcript.whisperx[409].text 請司法院衡量10年內憂鬱法官控制的緣合我可能要再加一句配合跟人事總署爭取並入未來整體的緣合需求並就法官跟書記官等為適當配置上個月你讀書沒報告我要說評為什麼這樣因為如果憂鬱法官的緣合可以控出來其實你要著雨給一些書記官因為書記官是沒有憂鬱的他們很憂鬱可是他們沒有得到憂鬱
transcript.whisperx[410].start 12304.867
transcript.whisperx[410].end 12305.027
transcript.whisperx[410].text 王小玲委員質詢
transcript.whisperx[411].start 12332.213
transcript.whisperx[411].end 12335.616
transcript.whisperx[411].text 我們先處理會議時間上午會議時間我們繼續進行至所有登記發言委員尋答結束為止接下來我們就請問委員謝謝好的謝謝主席有請秘書長還有次長請秘書長跟部長蔡部長請蔡部長
transcript.whisperx[412].start 12354.709
transcript.whisperx[412].end 12381.665
transcript.whisperx[412].text 首先我想要講的就是死刑釋憲的辯論庭我昨天晚上花了一些時間把整個辯論庭的內容都看完了我必須說我非常肯定法務部的表現雖然說知道在這樣子的一個釋憲場合裡面絕大多數都是支持要廢除死刑的
transcript.whisperx[413].start 12384.076
transcript.whisperx[413].end 12393.54
transcript.whisperx[413].text 的專家學者,可是法務部確實有捍衛目前的法律的制度,死刑的制度也提出了非常很好的一個
transcript.whisperx[414].start 12395.231
transcript.whisperx[414].end 12397.852
transcript.whisperx[414].text 司法院秘書長
transcript.whisperx[415].start 12418.072
transcript.whisperx[415].end 12441.653
transcript.whisperx[415].text 拜託你回去要提醒曲中立院長還有大法官們請他們要尊重自己的職務職權知道作為一個司法的釋憲機關的分際在哪裡不要越組代跑他們就是一個法的適用者而不是一個立法的制定者希望他們不要自以為他們是
transcript.whisperx[416].start 12442.814
transcript.whisperx[416].end 12459.86
transcript.whisperx[416].text 代表的進步的思想進步的這個立法者他們可以去取代立法權主導立法權這個其實是非常不對的在德國的非常多的法學者其實他們都有提出來要警示德國聯邦憲法法院要遵守他們的分際
transcript.whisperx[417].start 12461.12
transcript.whisperx[417].end 12470.583
transcript.whisperx[417].text 那麼大法官他的民意基礎再怎麼樣說他們有進階民意基礎這個法官還具有民意基礎可是他們的民意基礎絕對不及立法院的民意基礎所以請他們回去請您回去要轉告院長和大法官們請他們要節制他們自己的權利
transcript.whisperx[418].start 12485.256
transcript.whisperx[418].end 12503.119
transcript.whisperx[418].text 那麼在昨天的大法官事件裡面其實有提到一點這邊要請教部長在森林大法官他質疑法務部這些年怠惰不做廢死的修法請問法務部是否失職呢大法官點名你們了
transcript.whisperx[419].start 12505.207
transcript.whisperx[419].end 12526.622
transcript.whisperx[419].text 我不曉得他是怎麼說的啦那我們是法律的執行者那會根據民意或是大院的要求我們會提出一些立法的草案來供大院來討論所以這是我們善盡我們本身的職責所以他說你們有提立法草有提修法草案嗎有提廢除死刑的修法草案嗎
transcript.whisperx[420].start 12527.543
transcript.whisperx[420].end 12556.612
transcript.whisperx[420].text 我們有要求外面的研究團體來幫我們做如果實行替代方案的研究有這樣的一個研究案但是沒有提出修法我們是有研究案因為總是有不同的聲音我想每個行政機關都會做研究計劃案那麼這個部分的話我必須先說我肯定部長您剛剛的回應確實法務部做一個行政機關它就是依法行政
transcript.whisperx[421].start 12557.372
transcript.whisperx[421].end 12571.239
transcript.whisperx[421].text 目前的法律制度是怎麼樣的規定這個法務部就要去配依據法律來執行這個法律那麼我希望法務部但是呢我認為這個大法官很有趣竟然他認為說這個法務部呢
transcript.whisperx[422].start 12574.241
transcript.whisperx[422].end 12574.481
transcript.whisperx[422].text 法務部長
transcript.whisperx[423].start 12589.131
transcript.whisperx[423].end 12615.877
transcript.whisperx[423].text 權利在哪裡?在這裡我必須要講我也認為大法官們現在是不是他們的憲法認知錯亂他們已經完全不理解什麼叫權利分立原則但在這樣的情況之下他們又如何能夠做出正確的憲法解釋希望部長回去可以勉勵同仁要謹守依法行政還有依法要依法來適用法律依法獨立的審判
transcript.whisperx[424].start 12618.328
transcript.whisperx[424].end 12633.761
transcript.whisperx[424].text 去進行相關的這個相關的這個行政這個行政作為好那接下來我要請教這個秘書長我們看到其實思改博士會議的結論裡面那麼有特別提到要減輕法官的
transcript.whisperx[425].start 12638.84
transcript.whisperx[425].end 12659.539
transcript.whisperx[425].text 要增加這個司法程序的效力以及要將司法官的人事制度要更加的多元化可是我們看到其實這個司法院他在這個去年司法院院長在去年所做的報告裡面他這個重點說你們的6年的司法改革歷程裡面
transcript.whisperx[426].start 12660.64
transcript.whisperx[426].end 12672.307
transcript.whisperx[426].text 看不出來有什麼樣的一個方案是要減輕司法院的人力配置要減輕法官的工作量
transcript.whisperx[427].start 12673.715
transcript.whisperx[427].end 12700.048
transcript.whisperx[427].text 我必須說我認為現在的司法院看起來你們的重點就是配合院長的上意這個他喜歡憲法訴訟法那麼你修了配合憲法訴訟法力推國民法官法也力推了國民法官法可是就像剛剛所說的其他前面幾位委員有指出這個配合著憲法訴訟法、國民法官法以及種種的這個相關訴訟法的修正其實也增加了法官很多的負擔所以很明顯的是員額不足
transcript.whisperx[428].start 12704.008
transcript.whisperx[428].end 12732.5
transcript.whisperx[428].text 那麼這個事情其實從過去到現在都非常清楚就知道法官的工作量很大我們的訴訟案件量也非常之多可是為什麼這個司法院遲遲都沒有改革的動作讓我不禁質疑司法院的司改到底是玩真的還是玩假的那麼我也看到就是在你們這次的業務報告裡面也有提到你未來要引進新的這個科技
transcript.whisperx[429].start 12733.615
transcript.whisperx[429].end 12734.375
transcript.whisperx[429].text 一直都有,那為什麼一直都沒有做?
transcript.whisperx[430].start 12762.449
transcript.whisperx[430].end 12763.931
transcript.whisperx[430].text 你們有沒有做得太慢了?
transcript.whisperx[431].start 12769.912
transcript.whisperx[431].end 12793.545
transcript.whisperx[431].text 因為我真的發現司法院的效率是比其他的這個機關的效率要差得多而且可能你們的科技素養你們資訊素養程度也不夠所以都不知道說現在有很多很好的這個方便的這個3C的設備啊工具啊或是一些科技的工具是可以運用的可以大幅度的減輕法官、書記官以及其他的司法人員的這個勞力啊
transcript.whisperx[432].start 12796.766
transcript.whisperx[432].end 12797.607
transcript.whisperx[432].text 我真的非常期待司法院應該要
transcript.whisperx[433].start 12819.864
transcript.whisperx[433].end 12841.585
transcript.whisperx[433].text 加緊的趕快追上現在科技的腳步在我們現在政府早就在講要數位化、科技化可是確實我們發現這個機關司法系統裡面的數位化的程度是遠不及其他的行政機關那這個部分的話是希望
transcript.whisperx[434].start 12844.677
transcript.whisperx[434].end 12868.795
transcript.whisperx[434].text 秘書長這邊要多注意還有另外一個部分我想要講的就是剛剛其實人事總署在他們今天的報告裡面已經有講到其實在108年司法院跟還有法務部等等都有增加了一千人的員額可是事實上到現在都還有缺額請問為什麼沒有補時呢這一部分我們處長他剛剛
transcript.whisperx[435].start 12871.937
transcript.whisperx[435].end 12878.981
transcript.whisperx[435].text 方委員因為現在所剩的餘額是492人因為我們今年是14508距離總餘額上限還有492人那預計明年的114年要增列392人這是為了要因應北部少家法院的成立還有少年調查保護官的合理人力增加所以到115年的時候我們預算餘額只會剩下只有100人
transcript.whisperx[436].start 12899.892
transcript.whisperx[436].end 12922.217
transcript.whisperx[436].text 我要講就是說你們去看看日本日本的司法人力他們的司法員額如果就人口數比的話其實他們服務的案件量可能還比我們的法官還要更多但是他們也沒有增加那麼多的員額這個問題可能就出在是司法院裡面的很多的人力的運用沒有效率
transcript.whisperx[437].start 12923.737
transcript.whisperx[437].end 12931.164
transcript.whisperx[437].text 還有就是說隨著就是近年來的訴訟案件大幅的增加我們這個辦公室這邊也有做出一些分析當發現這個訴訟案件可能都集中在幾大五大類型吧包含像什麼離婚如果民事的話像是離婚、賠償等等這些你們有沒有試圖的想要透過修法
transcript.whisperx[438].start 12945.678
transcript.whisperx[438].end 12973.991
transcript.whisperx[438].text 去解決那些訴訟案件量那麼當然在刑事訴訟方面我們也發現一個問題就是現在法官輕判法官輕判的問題以至於就是很多人可能他們根本也不在乎反正被抓到了被判刑又怎麼樣很快就是一顆罰金所以我覺得這也是跟你們自己這個法院內部的審理案件相關的一些這個其實它是密切相關的不見得跟要增加
transcript.whisperx[439].start 12974.731
transcript.whisperx[439].end 13002.553
transcript.whisperx[439].text 人力增加原額有關我必須說時代在進步我們的政府組織精簡這是向來我們要遵循的目標那從剛剛的這個報告裡面也可以知道在全部的行政機關人力大幅這個縮減情況之下唯有司法院的人力是每年在增加但是如果說以現在法官的這樣子的一個辦案的這個
transcript.whisperx[440].start 13004.121
transcript.whisperx[440].end 13004.882
transcript.whisperx[440].text 還有另外就是我們也發現不僅是法官工作量大、壓力大
transcript.whisperx[441].start 13024.236
transcript.whisperx[441].end 13036.596
transcript.whisperx[441].text 其實像書記官等等的壓力也很大我也聽了一些書記官的學生輩的朋友們有在講現在書記官也是高階低用啊明明他們是高考進來
transcript.whisperx[442].start 13038.806
transcript.whisperx[442].end 13038.966
transcript.whisperx[442].text 司法院秘書長
transcript.whisperx[443].start 13055.865
transcript.whisperx[443].end 13081.011
transcript.whisperx[443].text 沒那麼複雜的行政事務工作可以委由外派的人力來做可以將整個的業務的經費的運用做合理的調整那我認為可能是比較適當的還請司法院回去研議好 謝謝好 謝謝翁委員、謝謝秘書長、謝謝部長好 接下來請邱智維委員發言邱委員、邱智維委員、邱智維委員不在有請賴委員事保發言
transcript.whisperx[444].start 13088.831
transcript.whisperx[444].end 13099.097
transcript.whisperx[444].text 謝謝主席以及各位先進有請法務部的蔡部長以及司法院的吳秘書長請蔡部長跟吳秘書長部長兩位長官好昨天的Face的辯論很清楚地看得到了
transcript.whisperx[445].start 13116.95
transcript.whisperx[445].end 13142.103
transcript.whisperx[445].text 這大法官幾乎一面倒就是要廢死啊那個秘書長這裡啊你聽就好啦我不要你怎麼回答因為你沒講話餘地就是大法官要冒著乾冒著一個違反八成以上民意的大部會極可能做成違憲
transcript.whisperx[446].start 13144.485
transcript.whisperx[446].end 13170.206
transcript.whisperx[446].text 那我就請教部長如果他做成為說好三個月以後做成一個說死刑是違憲下一步怎麼樣如果很明確的做這樣的釋憲結果我們都會遵照這個結果來做必要的修法的提案所以會怎麼樣所以如果有就把死刑拿掉了
transcript.whisperx[447].start 13171.523
transcript.whisperx[447].end 13194.3
transcript.whisperx[447].text 這要看他釋憲的結果如何啦我想我們沒有那麼悲觀啦這個那個秘書長要補充一下如果做成這樣子你們通常會怎麼樣要求法務部那我們這個負責司法行政啦不管這個好那我講請你上去你要聽啦我們兩個人對話你聽一下
transcript.whisperx[448].start 13199.113
transcript.whisperx[448].end 13228.209
transcript.whisperx[448].text 國澳區不是有三次的釋憲嗎?三次釋憲都說死刑是核心,對不對?部長對對嘛,阿奇怪呢?阿為什麼可以一要再、再要三、三要四,一直來釋憲呢?為什麼可以?阿如果他這樣做出來,能不能我受害者我的家屬,受害者家屬,被殺掉的,無辜殺掉的那些家屬可以不可以,我也提出一個釋憲,可以嗎?我請加盟你
transcript.whisperx[449].start 13230.363
transcript.whisperx[449].end 13257.568
transcript.whisperx[449].text 申請權當然就依照憲法訴訟法誰有權他就可以提出申請但你受不受理當然是憲法法院來做決定這個我現在就明白主張了在這個國會殿堂我就明白主張了如果大法官兩三個月之後大法官會議這一次憲法法庭之後做成說
transcript.whisperx[450].start 13259.44
transcript.whisperx[450].end 13261.582
transcript.whisperx[450].text 實行是違憲的話絕對引起一大波的一個民怨我們來發動公投啊公投我請教部長你是這份專家公投的效力大還是司法官還是大法官解釋的效力大你要告訴我哪個大誰大
transcript.whisperx[451].start 13285.762
transcript.whisperx[451].end 13288.263
transcript.whisperx[451].text 結果出來就大法官說是違憲然後人民發動公投把他推翻掉
transcript.whisperx[452].start 13309.268
transcript.whisperx[452].end 13327.766
transcript.whisperx[452].text 那我們就看他不同的規定嘛公投有公投法那事先有憲法訴訟法那看各相關的居然大法官會講說民意不重要阿台灣現在是什麼國際上跟人家講就是我們的民主我們的自由
transcript.whisperx[453].start 13330.184
transcript.whisperx[453].end 13356.642
transcript.whisperx[453].text 民主叫什麼?民主就是以人民為主叫人民主啊人民最大結果每一次命令就是八成每一次命令八成老實講 蔡部長你們這個時候一分天命啊講這個這麼大聲的話說你們反對廢食啊結果你們死出庸職而已你們如果不要有那個行政命令哪裡有什麼債神非常上訴跟憲法法庭
transcript.whisperx[454].start 13357.932
transcript.whisperx[454].end 13377.049
transcript.whisperx[454].text 那不是行政命令行事訴訟法就有規定在審非常上述他有這樣的權利啊憲法法庭實行的不只是你們的行政命令你剛剛講是行事訴訟是另外一件事行政命令是根據法律來訂定的嘛法律行事訴訟法就有規定他有在審的權利他有非常上述的權利嘛
transcript.whisperx[455].start 13378.14
transcript.whisperx[455].end 13394.515
transcript.whisperx[455].text 沒有規定死刑犯有這個權利啦沒有規定死刑犯有這個權利是你們自己家的法律有規定我們只是跟照法律來訂定沒有 上一次我在這裡問你的問題是你跟我回答今天不一樣喔但是 事先這個部分就是說 規定啦
transcript.whisperx[456].start 13395.416
transcript.whisperx[456].end 13414.418
transcript.whisperx[456].text 行政法院沒有規定這個喔沒有規定這個死刑犯不執行是你們有一個死刑犯的執行條件你們說一定要經過再審非常上述憲法法庭是你們的行政命令把它加上去的所以你們現在就感覺好像我的感覺是你們跟道法官在唱雙簧捏
transcript.whisperx[457].start 13415.93
transcript.whisperx[457].end 13416.21
transcript.whisperx[457].text 很清楚的
transcript.whisperx[458].start 13440.524
transcript.whisperx[458].end 13451.327
transcript.whisperx[458].text 外界的解讀是什麼?這幾個大法官要感念啊,可能都快學習,要感念蔡英文提名當大法官,所以在他們退議前要獻給蔡英文一個卸任的禮物啊。
transcript.whisperx[459].start 13457.541
transcript.whisperx[459].end 13471.334
transcript.whisperx[459].text 蔡英文、念茲再次包括你們司法院長、許中立這兩位都是主張廢死一路在推動廢死然後法務部長也不敢去講話因為他是老闆所以只能這樣子所以今天來講看到說法務部這樣盡力去fight其實這都假的老闆最重要
transcript.whisperx[460].start 13480.751
transcript.whisperx[460].end 13489.637
transcript.whisperx[460].text 沒有 我們是鑑定我們的立場嘛跟我們的職責嘛沒有啦 那個 那個 部長啊你 你 你確定不會留任嗎不會啊啊 所以要走之前 要講真話啊那所以我講的都是真話啊講真話就是說 你這樣不幾步不幾步這就是 這樣假的啊 就玩一趟過程給大家看 最後我請問你 我就一句話 問完我就下來了齁
transcript.whisperx[461].start 13509.699
transcript.whisperx[461].end 13532.271
transcript.whisperx[461].text 如果大法官解釋說違憲,你能不能接受?個人能不能接受?我們就看他解釋文如何,然後也會參考不同意見書。不是你要聽沒有啦,你就說能接受不能接受兩句而已,要選你啊,能不能接受?結果我大帽子就是合乎憲法。
transcript.whisperx[462].start 13538.427
transcript.whisperx[462].end 13543.592
transcript.whisperx[462].text 大帽子不合乎憲法就是違憲不違憲法務部的立場就是認為合憲
transcript.whisperx[463].start 13546.429
transcript.whisperx[463].end 13546.569
transcript.whisperx[463].text 主席
transcript.whisperx[464].start 13573.325
transcript.whisperx[464].end 13595.427
transcript.whisperx[464].text 那接下來有請鄭天才委員、鄭天才、鄭天才委員不在有請鄭振淺委員、鄭振淺、鄭振淺委員不在所有發言登記、登記發言委員均已發言完畢、詢答結束委員諮詢時要求提供相關資料或以書面答覆者請相關機關競速送交個別委員及本會
transcript.whisperx[465].start 13597.22
transcript.whisperx[465].end 13608.651
transcript.whisperx[465].text 委員復婚期所提書面質詢列入紀錄刊登公報並請相關機關以書面答覆本次會議到此結束現在散會謝謝大家
transcript.whisperx[466].start 13624.139
transcript.whisperx[466].end 13625.14
transcript.whisperx[466].text 法定人數不足
transcript.whisperx[467].start 13660.066
transcript.whisperx[467].end 13669.012
transcript.whisperx[467].text 法定人數不足